From 6fa8a9eb67562dcc8f04e73fdd4e1e62be87b5bd Mon Sep 17 00:00:00 2001 From: Ramdam17 Date: Mon, 23 Mar 2026 13:58:33 -0400 Subject: [PATCH 1/4] feat: migrate from Poetry to uv Replace Poetry with uv as the project's dependency manager and build orchestrator. This adopts PEP 621 (project metadata) and PEP 735 (dependency groups) standards, significantly speeds up dependency resolution, and simplifies CI. Changes: - pyproject.toml: PEP 621 dependencies, setuptools backend, optional extras (shiny/numba/torch), dependency-groups (dev/benchmark) - CI: astral-sh/setup-uv@v7, uv sync/run instead of poetry - README: developer installation instructions updated for uv - update_docs_requirements.sh: uv export replaces poetry export - poetry.lock replaced by uv.lock - black moved from runtime to dev dependencies - tests/__init__.py added for proper test module imports - Python constraint relaxed to >=3.10 (no upper bound) Co-Authored-By: Claude Opus 4.6 --- .github/workflows/Build.yml | 25 +- README.md | 55 +- poetry.lock | 6828 ----------------------------------- pyproject.toml | 147 +- tests/__init__.py | 0 update_docs_requirements.sh | 15 +- uv.lock | 5486 ++++++++++++++++++++++++++++ 7 files changed, 5586 insertions(+), 6970 deletions(-) delete mode 100644 poetry.lock create mode 100644 tests/__init__.py create mode 100644 uv.lock diff --git a/.github/workflows/Build.yml b/.github/workflows/Build.yml index f99fb41f..b129ab9d 100644 --- a/.github/workflows/Build.yml +++ b/.github/workflows/Build.yml @@ -10,21 +10,16 @@ jobs: python-version: ["3.10", "3.11", "3.12", "3.13"] steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v7 + - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 - with: - python-version: ${{ matrix.python-version }} + run: uv python install ${{ matrix.python-version }} + - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install poetry - poetry self add poetry-plugin-shell - poetry self add poetry-plugin-export - poetry export -f requirements.txt -o requirements.txt --without-hashes --with dev - poetry run pip install --upgrade pip - poetry run pip install -q -r requirements.txt - poetry install -q + run: uv sync --group dev + - name: Test with pytest - run: | - poetry run pytest tests/ + run: uv run pytest tests/ diff --git a/README.md b/README.md index 5b8ceee1..a9e0f4ac 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ The **Hy**perscanning **Py**thon **P**ipeline 🤝 If you want to help you can submit bugs and suggestions of enhancements in our Github [Issues section](https://github.com/ppsp-team/HyPyP/issues). -🤓 For the motivated contributors, you can even help directly in the development of HyPyP. You will need to install [Poetry](https://python-poetry.org/) (see section below). +🤓 For the motivated contributors, you can even help directly in the development of HyPyP. You will need to install [uv](https://docs.astral.sh/uv/) (see section below). ## Contributors @@ -49,16 +49,20 @@ For getting started with HyPyP, we have designed a little walkthrough: [getting_ 🌊 [wavelet/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/wavelet) — Continuous Wavelet Transform and Wavelet Transform Coherence (Patrice) -📊 [shiny/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/app) — Shiny dashboards, install using `poetry install --extras shiny` (Patrice) +📊 [shiny/\*.py](https://github.com/ppsp-team/HyPyP/blob/master/hypyp/app) — Shiny dashboards, install using `uv sync --extra shiny` (Patrice) -## Poetry Installation (Only for Developers and Adventurous Users) +## Developer Installation (uv) -To develop HyPyP, we recommend using [Poetry 2.x](https://python-poetry.org/). Follow these steps: +To develop HyPyP, we recommend using [uv](https://docs.astral.sh/uv/). Follow these steps: -### 1. Install Poetry: +### 1. Install uv: ```bash - pip install poetry +# macOS / Linux +curl -LsSf https://astral.sh/uv/install.sh | sh + +# or with pip +pip install uv ``` ### 2. Clone the Repository: @@ -71,48 +75,31 @@ cd HyPyP ### 3. Install Dependencies: ```bash -poetry install -``` - -Note: By default, dev dependencies (including JupyterLab) are not included in the main dependencies. -To install development dependencies, you can run: - -```bash -poetry install --with dev +uv sync --group dev ``` ### 4. Launch Jupyter Lab to Run Notebooks: -Instead of entering a shell, launch Jupyter Lab directly within the Poetry environment: - ```bash -poetry run jupyter lab +uv run jupyter lab ``` -## Additional Setup for Poetry - -- **Install Poetry Plugins:** - -To have full functionality with Poetry, add the following plugins: +### Optional extras: ```bash -poetry self add poetry-plugin-shell -poetry self add poetry-plugin-export -``` - -- **VS Code Integration:** +# Shiny dashboards +uv sync --group dev --extra shiny -To make the Poetry virtual environment available in VS Code, you might need to set Poetry to create in-project virtual environments. You can do this either by running: +# Numba optimization backend (CPU JIT) +uv sync --group dev --extra numba -```bash -poetry config virtualenvs.in-project true +# PyTorch optimization backend (GPU/MPS) +uv sync --group dev --extra torch ``` -or by adding the following line to your .bashrc or .zshrc: +### VS Code Integration -```bash -poetry config virtualenvs.in-project true -``` +uv creates a `.venv` directory in the project root by default. VS Code should auto-detect it. If not, point the Python interpreter to `.venv/bin/python`. ## Child Head Visualization diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index f80634cb..00000000 --- a/poetry.lock +++ /dev/null @@ -1,6828 +0,0 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. - -[[package]] -name = "anyio" -version = "4.12.1" -description = "High-level concurrency and networking framework on top of asyncio or Trio" -optional = false -python-versions = ">=3.9" -groups = ["dev", "shiny"] -files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, -] - -[package.dependencies] -exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} -idna = ">=2.8" -typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} - -[package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] - -[[package]] -name = "appnope" -version = "0.1.4" -description = "Disable App Nap on macOS >= 10.9" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -markers = "platform_system == \"Darwin\"" -files = [ - {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, - {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, -] - -[[package]] -name = "argon2-cffi" -version = "25.1.0" -description = "Argon2 for Python" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741"}, - {file = "argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1"}, -] - -[package.dependencies] -argon2-cffi-bindings = "*" - -[[package]] -name = "argon2-cffi-bindings" -version = "25.1.0" -description = "Low-level CFFI bindings for Argon2" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6"}, - {file = "argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98"}, - {file = "argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94"}, - {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e"}, - {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d"}, - {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584"}, - {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690"}, - {file = "argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520"}, - {file = "argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d"}, -] - -[package.dependencies] -cffi = {version = ">=1.0.1", markers = "python_version < \"3.14\""} - -[[package]] -name = "arrow" -version = "1.4.0" -description = "Better dates & times for Python" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205"}, - {file = "arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7"}, -] - -[package.dependencies] -python-dateutil = ">=2.7.0" -tzdata = {version = "*", markers = "python_version >= \"3.9\""} - -[package.extras] -doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] -test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2025.2)", "simplejson (==3.*)"] - -[[package]] -name = "asgiref" -version = "3.11.0" -description = "ASGI specs, helper code, and adapters" -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -files = [ - {file = "asgiref-3.11.0-py3-none-any.whl", hash = "sha256:1db9021efadb0d9512ce8ffaf72fcef601c7b73a8807a1bb2ef143dc6b14846d"}, - {file = "asgiref-3.11.0.tar.gz", hash = "sha256:13acff32519542a1736223fb79a715acdebe24286d98e8b164a73085f40da2c4"}, -] - -[package.dependencies] -typing_extensions = {version = ">=4", markers = "python_version < \"3.11\""} - -[package.extras] -tests = ["mypy (>=1.14.0)", "pytest", "pytest-asyncio"] - -[[package]] -name = "astroid" -version = "4.0.3" -description = "An abstract syntax tree for Python with inference support." -optional = false -python-versions = ">=3.10.0" -groups = ["dev"] -files = [ - {file = "astroid-4.0.3-py3-none-any.whl", hash = "sha256:864a0a34af1bd70e1049ba1e61cee843a7252c826d97825fcee9b2fcbd9e1b14"}, - {file = "astroid-4.0.3.tar.gz", hash = "sha256:08d1de40d251cc3dc4a7a12726721d475ac189e4e583d596ece7422bc176bda3"}, -] - -[package.dependencies] -typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""} - -[[package]] -name = "asttokens" -version = "3.0.1" -description = "Annotate AST trees with source code positions" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a"}, - {file = "asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7"}, -] - -[package.extras] -astroid = ["astroid (>=2,<5)"] -test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"] - -[[package]] -name = "async-lru" -version = "2.1.0" -description = "Simple LRU cache for asyncio" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "async_lru-2.1.0-py3-none-any.whl", hash = "sha256:fa12dcf99a42ac1280bc16c634bbaf06883809790f6304d85cdab3f666f33a7e"}, - {file = "async_lru-2.1.0.tar.gz", hash = "sha256:9eeb2fecd3fe42cc8a787fc32ead53a3a7158cc43d039c3c55ab3e4e5b2a80ed"}, -] - -[package.dependencies] -typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} - -[[package]] -name = "attrs" -version = "25.4.0" -description = "Classes Without Boilerplate" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, -] - -[[package]] -name = "autoreject" -version = "0.4.3" -description = "Automated rejection and repair of epochs in M/EEG." -optional = false -python-versions = "~=3.8" -groups = ["main"] -files = [ - {file = "autoreject-0.4.3-py3-none-any.whl", hash = "sha256:a094bebeaea40572f479b2b489c14c54a0be4d57ae7f51ea269c754d2433f9c1"}, - {file = "autoreject-0.4.3.tar.gz", hash = "sha256:bd977ea3c88dc68550fbd5dbb98515b3b811907ba78afe8e412632edde6c8fc5"}, -] - -[package.dependencies] -joblib = "*" -matplotlib = ">=3.4.0" -mne = {version = ">=1.0", extras = ["hdf5"]} -numpy = ">=1.20.2" -scikit-learn = ">=0.24.2" -scipy = ">=1.6.3" - -[package.extras] -doc = ["cython", "numpydoc", "openneuro-py (>=2021.10.1)", "pillow", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-github-role"] -test = ["PyQt6", "check-manifest", "flake8", "importlib-resources", "mne-qt-browser", "pytest", "pytest-cov", "pytest-sugar"] - -[[package]] -name = "babel" -version = "2.17.0" -description = "Internationalization utilities" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, - {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, -] - -[package.extras] -dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""] - -[[package]] -name = "backrefs" -version = "6.1" -description = "A wrapper around re and regex that adds additional back references." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "backrefs-6.1-py310-none-any.whl", hash = "sha256:2a2ccb96302337ce61ee4717ceacfbf26ba4efb1d55af86564b8bbaeda39cac1"}, - {file = "backrefs-6.1-py311-none-any.whl", hash = "sha256:e82bba3875ee4430f4de4b6db19429a27275d95a5f3773c57e9e18abc23fd2b7"}, - {file = "backrefs-6.1-py312-none-any.whl", hash = "sha256:c64698c8d2269343d88947c0735cb4b78745bd3ba590e10313fbf3f78c34da5a"}, - {file = "backrefs-6.1-py313-none-any.whl", hash = "sha256:4c9d3dc1e2e558965202c012304f33d4e0e477e1c103663fd2c3cc9bb18b0d05"}, - {file = "backrefs-6.1-py314-none-any.whl", hash = "sha256:13eafbc9ccd5222e9c1f0bec563e6d2a6d21514962f11e7fc79872fd56cbc853"}, - {file = "backrefs-6.1-py39-none-any.whl", hash = "sha256:a9e99b8a4867852cad177a6430e31b0f6e495d65f8c6c134b68c14c3c95bf4b0"}, - {file = "backrefs-6.1.tar.gz", hash = "sha256:3bba1749aafe1db9b915f00e0dd166cba613b6f788ffd63060ac3485dc9be231"}, -] - -[package.extras] -extras = ["regex"] - -[[package]] -name = "beautifulsoup4" -version = "4.14.3" -description = "Screen-scraping library" -optional = false -python-versions = ">=3.7.0" -groups = ["dev"] -files = [ - {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"}, - {file = "beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86"}, -] - -[package.dependencies] -soupsieve = ">=1.6.1" -typing-extensions = ">=4.0.0" - -[package.extras] -cchardet = ["cchardet"] -chardet = ["chardet"] -charset-normalizer = ["charset-normalizer"] -html5lib = ["html5lib"] -lxml = ["lxml"] - -[[package]] -name = "black" -version = "26.1.0" -description = "The uncompromising code formatter." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "black-26.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ca699710dece84e3ebf6e92ee15f5b8f72870ef984bf944a57a777a48357c168"}, - {file = "black-26.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5e8e75dabb6eb83d064b0db46392b25cabb6e784ea624219736e8985a6b3675d"}, - {file = "black-26.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eb07665d9a907a1a645ee41a0df8a25ffac8ad9c26cdb557b7b88eeeeec934e0"}, - {file = "black-26.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:7ed300200918147c963c87700ccf9966dceaefbbb7277450a8d646fc5646bf24"}, - {file = "black-26.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:c5b7713daea9bf943f79f8c3b46f361cc5229e0e604dcef6a8bb6d1c37d9df89"}, - {file = "black-26.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3cee1487a9e4c640dc7467aaa543d6c0097c391dc8ac74eb313f2fbf9d7a7cb5"}, - {file = "black-26.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d62d14ca31c92adf561ebb2e5f2741bf8dea28aef6deb400d49cca011d186c68"}, - {file = "black-26.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb1dafbbaa3b1ee8b4550a84425aac8874e5f390200f5502cf3aee4a2acb2f14"}, - {file = "black-26.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:101540cb2a77c680f4f80e628ae98bd2bd8812fb9d72ade4f8995c5ff019e82c"}, - {file = "black-26.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:6f3977a16e347f1b115662be07daa93137259c711e526402aa444d7a88fdc9d4"}, - {file = "black-26.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6eeca41e70b5f5c84f2f913af857cf2ce17410847e1d54642e658e078da6544f"}, - {file = "black-26.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dd39eef053e58e60204f2cdf059e2442e2eb08f15989eefe259870f89614c8b6"}, - {file = "black-26.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9459ad0d6cd483eacad4c6566b0f8e42af5e8b583cee917d90ffaa3778420a0a"}, - {file = "black-26.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a19915ec61f3a8746e8b10adbac4a577c6ba9851fa4a9e9fbfbcf319887a5791"}, - {file = "black-26.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:643d27fb5facc167c0b1b59d0315f2674a6e950341aed0fc05cf307d22bf4954"}, - {file = "black-26.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ba1d768fbfb6930fc93b0ecc32a43d8861ded16f47a40f14afa9bb04ab93d304"}, - {file = "black-26.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2b807c240b64609cb0e80d2200a35b23c7df82259f80bef1b2c96eb422b4aac9"}, - {file = "black-26.1.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1de0f7d01cc894066a1153b738145b194414cc6eeaad8ef4397ac9abacf40f6b"}, - {file = "black-26.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:91a68ae46bf07868963671e4d05611b179c2313301bd756a89ad4e3b3db2325b"}, - {file = "black-26.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:be5e2fe860b9bd9edbf676d5b60a9282994c03fbbd40fe8f5e75d194f96064ca"}, - {file = "black-26.1.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9dc8c71656a79ca49b8d3e2ce8103210c9481c57798b48deeb3a8bb02db5f115"}, - {file = "black-26.1.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:b22b3810451abe359a964cc88121d57f7bce482b53a066de0f1584988ca36e79"}, - {file = "black-26.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:53c62883b3f999f14e5d30b5a79bd437236658ad45b2f853906c7cbe79de00af"}, - {file = "black-26.1.0-cp314-cp314-win_amd64.whl", hash = "sha256:f016baaadc423dc960cdddf9acae679e71ee02c4c341f78f3179d7e4819c095f"}, - {file = "black-26.1.0-cp314-cp314-win_arm64.whl", hash = "sha256:66912475200b67ef5a0ab665011964bf924745103f51977a78b4fb92a9fc1bf0"}, - {file = "black-26.1.0-py3-none-any.whl", hash = "sha256:1054e8e47ebd686e078c0bb0eaf31e6ce69c966058d122f2c0c950311f9f3ede"}, - {file = "black-26.1.0.tar.gz", hash = "sha256:d294ac3340eef9c9eb5d29288e96dc719ff269a88e27b396340459dd85da4c58"}, -] - -[package.dependencies] -click = ">=8.0.0" -mypy-extensions = ">=0.4.3" -packaging = ">=22.0" -pathspec = ">=1.0.0" -platformdirs = ">=2" -pytokens = ">=0.3.0" -tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} -typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} - -[package.extras] -colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.10)"] -jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] -uvloop = ["uvloop (>=0.15.2)"] - -[[package]] -name = "bleach" -version = "6.3.0" -description = "An easy safelist-based HTML-sanitizing tool." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6"}, - {file = "bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22"}, -] - -[package.dependencies] -tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""} -webencodings = "*" - -[package.extras] -css = ["tinycss2 (>=1.1.0,<1.5)"] - -[[package]] -name = "bracex" -version = "2.6" -description = "Bash style brace expander." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952"}, - {file = "bracex-2.6.tar.gz", hash = "sha256:98f1347cd77e22ee8d967a30ad4e310b233f7754dbf31ff3fceb76145ba47dc7"}, -] - -[[package]] -name = "certifi" -version = "2026.1.4" -description = "Python package for providing Mozilla's CA Bundle." -optional = false -python-versions = ">=3.7" -groups = ["main", "dev"] -files = [ - {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, - {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, -] - -[[package]] -name = "cffi" -version = "2.0.0" -description = "Foreign Function Interface for Python calling C code." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, - {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, - {file = "cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c"}, - {file = "cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb"}, - {file = "cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0"}, - {file = "cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4"}, - {file = "cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453"}, - {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495"}, - {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5"}, - {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb"}, - {file = "cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a"}, - {file = "cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739"}, - {file = "cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe"}, - {file = "cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c"}, - {file = "cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92"}, - {file = "cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93"}, - {file = "cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5"}, - {file = "cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664"}, - {file = "cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26"}, - {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9"}, - {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414"}, - {file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743"}, - {file = "cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5"}, - {file = "cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5"}, - {file = "cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d"}, - {file = "cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d"}, - {file = "cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c"}, - {file = "cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe"}, - {file = "cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062"}, - {file = "cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e"}, - {file = "cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037"}, - {file = "cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba"}, - {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94"}, - {file = "cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187"}, - {file = "cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18"}, - {file = "cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5"}, - {file = "cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6"}, - {file = "cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb"}, - {file = "cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca"}, - {file = "cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b"}, - {file = "cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b"}, - {file = "cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2"}, - {file = "cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3"}, - {file = "cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26"}, - {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c"}, - {file = "cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b"}, - {file = "cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27"}, - {file = "cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75"}, - {file = "cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91"}, - {file = "cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5"}, - {file = "cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13"}, - {file = "cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b"}, - {file = "cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c"}, - {file = "cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef"}, - {file = "cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775"}, - {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205"}, - {file = "cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1"}, - {file = "cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f"}, - {file = "cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25"}, - {file = "cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad"}, - {file = "cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9"}, - {file = "cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d"}, - {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c"}, - {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8"}, - {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc"}, - {file = "cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592"}, - {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512"}, - {file = "cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4"}, - {file = "cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e"}, - {file = "cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6"}, - {file = "cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9"}, - {file = "cffi-2.0.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:fe562eb1a64e67dd297ccc4f5addea2501664954f2692b69a76449ec7913ecbf"}, - {file = "cffi-2.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:de8dad4425a6ca6e4e5e297b27b5c824ecc7581910bf9aee86cb6835e6812aa7"}, - {file = "cffi-2.0.0-cp39-cp39-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:4647afc2f90d1ddd33441e5b0e85b16b12ddec4fca55f0d9671fef036ecca27c"}, - {file = "cffi-2.0.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3f4d46d8b35698056ec29bca21546e1551a205058ae1a181d871e278b0b28165"}, - {file = "cffi-2.0.0-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:e6e73b9e02893c764e7e8d5bb5ce277f1a009cd5243f8228f75f842bf937c534"}, - {file = "cffi-2.0.0-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:cb527a79772e5ef98fb1d700678fe031e353e765d1ca2d409c92263c6d43e09f"}, - {file = "cffi-2.0.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:61d028e90346df14fedc3d1e5441df818d095f3b87d286825dfcbd6459b7ef63"}, - {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0f6084a0ea23d05d20c3edcda20c3d006f9b6f3fefeac38f59262e10cef47ee2"}, - {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1cd13c99ce269b3ed80b417dcd591415d3372bcac067009b6e0f59c7d4015e65"}, - {file = "cffi-2.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89472c9762729b5ae1ad974b777416bfda4ac5642423fa93bd57a09204712322"}, - {file = "cffi-2.0.0-cp39-cp39-win32.whl", hash = "sha256:2081580ebb843f759b9f617314a24ed5738c51d2aee65d31e02f6f7a2b97707a"}, - {file = "cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9"}, - {file = "cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529"}, -] - -[package.dependencies] -pycparser = {version = "*", markers = "implementation_name != \"PyPy\""} - -[[package]] -name = "cftime" -version = "1.6.5" -description = "Time-handling functionality from netcdf4-python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "cftime-1.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ad81e8cb0eb873b33c3d1e22c6168163fdc64daa8f7aeb4da8092f272575f4d"}, - {file = "cftime-1.6.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12d95c6af852114a13301c5a61e41afdbd1542e72939c1083796f8418b9b8b0e"}, - {file = "cftime-1.6.5-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2659b7df700e27d9e3671f686ce474dfb5fc274966961edf996acc148dfa094a"}, - {file = "cftime-1.6.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:94cebdfcda6a985b8e69aed22d00d6b8aa1f421495adbdcff1d59b3e896d81e2"}, - {file = "cftime-1.6.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:179681b023349a2fe277ceccc89d4fc52c0dd105cb59b7187b5bc5d442875133"}, - {file = "cftime-1.6.5-cp310-cp310-win_amd64.whl", hash = "sha256:d8b9fdecb466879cfe8ca4472b229b6f8d0bb65e4ffd44266ae17484bac2cf38"}, - {file = "cftime-1.6.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:474e728f5a387299418f8d7cb9c52248dcd5d977b2a01de7ec06bba572e26b02"}, - {file = "cftime-1.6.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab9e80d4de815cac2e2d88a2335231254980e545d0196eb34ee8f7ed612645f1"}, - {file = "cftime-1.6.5-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ad24a563784e4795cb3d04bd985895b5db49ace2cbb71fcf1321fd80141f9a52"}, - {file = "cftime-1.6.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3cda6fd12c7fb25eff40a6a857a2bf4d03e8cc71f80485d8ddc65ccbd80f16a"}, - {file = "cftime-1.6.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:28cda78d685397ba23d06273b9c916c3938d8d9e6872a537e76b8408a321369b"}, - {file = "cftime-1.6.5-cp311-cp311-win_amd64.whl", hash = "sha256:93ead088e3a216bdeb9368733a0ef89a7451dfc1d2de310c1c0366a56ad60dc8"}, - {file = "cftime-1.6.5-cp311-cp311-win_arm64.whl", hash = "sha256:3384d69a0a7f3d45bded21a8cbcce66c8ba06c13498eac26c2de41b1b9b6e890"}, - {file = "cftime-1.6.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:eef25caed5ebd003a38719bd3ff8847cd52ef2ea56c3ebdb2c9345ba131fc7c5"}, - {file = "cftime-1.6.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c87d2f3b949e45463e559233c69e6a9cf691b2b378c1f7556166adfabbd1c6b0"}, - {file = "cftime-1.6.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:82cb413973cc51b55642b3a1ca5b28db5b93a294edbef7dc049c074b478b4647"}, - {file = "cftime-1.6.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85ba8e7356d239cfe56ef7707ac30feaf67964642ac760a82e507ee3c5db4ac4"}, - {file = "cftime-1.6.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:456039af7907a3146689bb80bfd8edabd074c7f3b4eca61f91b9c2670addd7ad"}, - {file = "cftime-1.6.5-cp312-cp312-win_amd64.whl", hash = "sha256:da84534c43699960dc980a9a765c33433c5de1a719a4916748c2d0e97a071e44"}, - {file = "cftime-1.6.5-cp312-cp312-win_arm64.whl", hash = "sha256:c62cd8db9ea40131eea7d4523691c5d806d3265d31279e4a58574a42c28acd77"}, - {file = "cftime-1.6.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4aba66fd6497711a47c656f3a732c2d1755ad15f80e323c44a8716ebde39ddd5"}, - {file = "cftime-1.6.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:89e7cba699242366e67d6fb5aee579440e791063f92a93853610c91647167c0d"}, - {file = "cftime-1.6.5-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2f1eb43d7a7b919ec99aee709fb62ef87ef1cf0679829ef93d37cc1c725781e9"}, - {file = "cftime-1.6.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e02a1d80ffc33fe469c7db68aa24c4a87f01da0c0c621373e5edadc92964900b"}, - {file = "cftime-1.6.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:18ab754805233cdd889614b2b3b86a642f6d51a57a1ec327c48053f3414f87d8"}, - {file = "cftime-1.6.5-cp313-cp313-win_amd64.whl", hash = "sha256:6c27add8f907f4a4cd400e89438f2ea33e2eb5072541a157a4d013b7dbe93f9c"}, - {file = "cftime-1.6.5-cp313-cp313-win_arm64.whl", hash = "sha256:31d1ff8f6bbd4ca209099d24459ec16dea4fb4c9ab740fbb66dd057ccbd9b1b9"}, - {file = "cftime-1.6.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c69ce3bdae6a322cbb44e9ebc20770d47748002fb9d68846a1e934f1bd5daf0b"}, - {file = "cftime-1.6.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e62e9f2943e014c5ef583245bf2e878398af131c97e64f8cd47c1d7baef5c4e2"}, - {file = "cftime-1.6.5-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7da5fdaa4360d8cb89b71b8ded9314f2246aa34581e8105c94ad58d6102d9e4f"}, - {file = "cftime-1.6.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bff865b4ea4304f2744a1ad2b8149b8328b321dd7a2b9746ef926d229bd7cd49"}, - {file = "cftime-1.6.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e552c5d1c8a58f25af7521e49237db7ca52ed2953e974fe9f7c4491e95fdd36c"}, - {file = "cftime-1.6.5-cp314-cp314-win_amd64.whl", hash = "sha256:e645b095dc50a38ac454b7e7f0742f639e7d7f6b108ad329358544a6ff8c9ba2"}, - {file = "cftime-1.6.5-cp314-cp314-win_arm64.whl", hash = "sha256:b9044d7ac82d3d8af189df1032fdc871bbd3f3dd41a6ec79edceb5029b71e6e0"}, - {file = "cftime-1.6.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9ef56460cb0576e1a9161e1428c9e1a633f809a23fa9d598f313748c1ae5064e"}, - {file = "cftime-1.6.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4f4873d38b10032f9f3111c547a1d485519ae64eee6a7a2d091f1f8b08e1ba50"}, - {file = "cftime-1.6.5-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ccce0f4c9d3f38dd948a117e578b50d0e0db11e2ca9435fb358fd524813e4b61"}, - {file = "cftime-1.6.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:19cbfc5152fb0b34ce03acf9668229af388d7baa63a78f936239cb011ccbe6b1"}, - {file = "cftime-1.6.5-cp314-cp314t-win_amd64.whl", hash = "sha256:4470cd5ef3c2514566f53efbcbb64dd924fa0584637d90285b2f983bd4ee7d97"}, - {file = "cftime-1.6.5-cp314-cp314t-win_arm64.whl", hash = "sha256:034c15a67144a0a5590ef150c99f844897618b148b87131ed34fda7072614662"}, - {file = "cftime-1.6.5.tar.gz", hash = "sha256:8225fed6b9b43fb87683ebab52130450fc1730011150d3092096a90e54d1e81e"}, -] - -[package.dependencies] -numpy = ">=1.21.2" - -[[package]] -name = "charset-normalizer" -version = "3.4.4" -description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." -optional = false -python-versions = ">=3.7" -groups = ["main", "dev"] -files = [ - {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:027f6de494925c0ab2a55eab46ae5129951638a49a34d87f4c3eda90f696b4ad"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f820802628d2694cb7e56db99213f930856014862f3fd943d290ea8438d07ca8"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:798d75d81754988d2565bff1b97ba5a44411867c0cf32b77a7e8f8d84796b10d"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9d1bb833febdff5c8927f922386db610b49db6e0d4f4ee29601d71e7c2694313"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:9cd98cdc06614a2f768d2b7286d66805f94c48cde050acdbbb7db2600ab3197e"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:077fbb858e903c73f6c9db43374fd213b0b6a778106bc7032446a8e8b5b38b93"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:244bfb999c71b35de57821b8ea746b24e863398194a4014e4c76adc2bbdfeff0"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:64b55f9dce520635f018f907ff1b0df1fdc31f2795a922fb49dd14fbcdf48c84"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:faa3a41b2b66b6e50f84ae4a68c64fcd0c44355741c6374813a800cd6695db9e"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:6515f3182dbe4ea06ced2d9e8666d97b46ef4c75e326b79bb624110f122551db"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cc00f04ed596e9dc0da42ed17ac5e596c6ccba999ba6bd92b0e0aef2f170f2d6"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-win32.whl", hash = "sha256:f34be2938726fc13801220747472850852fe6b1ea75869a048d6f896838c896f"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:a61900df84c667873b292c3de315a786dd8dac506704dea57bc957bd31e22c7d"}, - {file = "charset_normalizer-3.4.4-cp310-cp310-win_arm64.whl", hash = "sha256:cead0978fc57397645f12578bfd2d5ea9138ea0fac82b2f63f7f7c6877986a69"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e1fcf0720908f200cd21aa4e6750a48ff6ce4afe7ff5a79a90d5ed8a08296f8"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f819d5fe9234f9f82d75bdfa9aef3a3d72c4d24a6e57aeaebba32a704553aa0"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:a59cb51917aa591b1c4e6a43c132f0cdc3c76dbad6155df4e28ee626cc77a0a3"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8ef3c867360f88ac904fd3f5e1f902f13307af9052646963ee08ff4f131adafc"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d9e45d7faa48ee908174d8fe84854479ef838fc6a705c9315372eacbc2f02897"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:840c25fb618a231545cbab0564a799f101b63b9901f2569faecd6b222ac72381"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ca5862d5b3928c4940729dacc329aa9102900382fea192fc5e52eb69d6093815"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9c7f57c3d666a53421049053eaacdd14bbd0a528e2186fcb2e672effd053bb0"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:277e970e750505ed74c832b4bf75dac7476262ee2a013f5574dd49075879e161"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:31fd66405eaf47bb62e8cd575dc621c56c668f27d46a61d975a249930dd5e2a4"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:0d3d8f15c07f86e9ff82319b3d9ef6f4bf907608f53fe9d92b28ea9ae3d1fd89"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:9f7fcd74d410a36883701fafa2482a6af2ff5ba96b9a620e9e0721e28ead5569"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ebf3e58c7ec8a8bed6d66a75d7fb37b55e5015b03ceae72a8e7c74495551e224"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-win32.whl", hash = "sha256:eecbc200c7fd5ddb9a7f16c7decb07b566c29fa2161a16cf67b8d068bd21690a"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:5ae497466c7901d54b639cf42d5b8c1b6a4fead55215500d2f486d34db48d016"}, - {file = "charset_normalizer-3.4.4-cp311-cp311-win_arm64.whl", hash = "sha256:65e2befcd84bc6f37095f5961e68a6f077bf44946771354a28ad434c2cce0ae1"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0a98e6759f854bd25a58a73fa88833fba3b7c491169f86ce1180c948ab3fd394"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b5b290ccc2a263e8d185130284f8501e3e36c5e02750fc6b6bdeb2e9e96f1e25"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74bb723680f9f7a6234dcf67aea57e708ec1fbdf5699fb91dfd6f511b0a320ef"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f1e34719c6ed0b92f418c7c780480b26b5d9c50349e9a9af7d76bf757530350d"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2437418e20515acec67d86e12bf70056a33abdacb5cb1655042f6538d6b085a8"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11d694519d7f29d6cd09f6ac70028dba10f92f6cdd059096db198c283794ac86"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:ac1c4a689edcc530fc9d9aa11f5774b9e2f33f9a0c6a57864e90908f5208d30a"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:21d142cc6c0ec30d2efee5068ca36c128a30b0f2c53c1c07bd78cb6bc1d3be5f"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:5dbe56a36425d26d6cfb40ce79c314a2e4dd6211d51d6d2191c00bed34f354cc"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5bfbb1b9acf3334612667b61bd3002196fe2a1eb4dd74d247e0f2a4d50ec9bbf"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:d055ec1e26e441f6187acf818b73564e6e6282709e9bcb5b63f5b23068356a15"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:af2d8c67d8e573d6de5bc30cdb27e9b95e49115cd9baad5ddbd1a6207aaa82a9"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:780236ac706e66881f3b7f2f32dfe90507a09e67d1d454c762cf642e6e1586e0"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-win32.whl", hash = "sha256:5833d2c39d8896e4e19b689ffc198f08ea58116bee26dea51e362ecc7cd3ed26"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:a79cfe37875f822425b89a82333404539ae63dbdddf97f84dcbc3d339aae9525"}, - {file = "charset_normalizer-3.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:376bec83a63b8021bb5c8ea75e21c4ccb86e7e45ca4eb81146091b56599b80c3"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:e1f185f86a6f3403aa2420e815904c67b2f9ebc443f045edd0de921108345794"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b39f987ae8ccdf0d2642338faf2abb1862340facc796048b604ef14919e55ed"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:3162d5d8ce1bb98dd51af660f2121c55d0fa541b46dff7bb9b9f86ea1d87de72"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:81d5eb2a312700f4ecaa977a8235b634ce853200e828fbadf3a9c50bab278328"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5bd2293095d766545ec1a8f612559f6b40abc0eb18bb2f5d1171872d34036ede"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8a8b89589086a25749f471e6a900d3f662d1d3b6e2e59dcecf787b1cc3a1894"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc7637e2f80d8530ee4a78e878bce464f70087ce73cf7c1caf142416923b98f1"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f8bf04158c6b607d747e93949aa60618b61312fe647a6369f88ce2ff16043490"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:554af85e960429cf30784dd47447d5125aaa3b99a6f0683589dbd27e2f45da44"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:74018750915ee7ad843a774364e13a3db91682f26142baddf775342c3f5b1133"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c0463276121fdee9c49b98908b3a89c39be45d86d1dbaa22957e38f6321d4ce3"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:362d61fd13843997c1c446760ef36f240cf81d3ebf74ac62652aebaf7838561e"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:9a26f18905b8dd5d685d6d07b0cdf98a79f3c7a918906af7cc143ea2e164c8bc"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-win32.whl", hash = "sha256:9b35f4c90079ff2e2edc5b26c0c77925e5d2d255c42c74fdb70fb49b172726ac"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-win_amd64.whl", hash = "sha256:b435cba5f4f750aa6c0a0d92c541fb79f69a387c91e61f1795227e4ed9cece14"}, - {file = "charset_normalizer-3.4.4-cp313-cp313-win_arm64.whl", hash = "sha256:542d2cee80be6f80247095cc36c418f7bddd14f4a6de45af91dfad36d817bba2"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:da3326d9e65ef63a817ecbcc0df6e94463713b754fe293eaa03da99befb9a5bd"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8af65f14dc14a79b924524b1e7fffe304517b2bff5a58bf64f30b98bbc5079eb"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:74664978bb272435107de04e36db5a9735e78232b85b77d45cfb38f758efd33e"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:752944c7ffbfdd10c074dc58ec2d5a8a4cd9493b314d367c14d24c17684ddd14"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d1f13550535ad8cff21b8d757a3257963e951d96e20ec82ab44bc64aeb62a191"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ecaae4149d99b1c9e7b88bb03e3221956f68fd6d50be2ef061b2381b61d20838"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:cb6254dc36b47a990e59e1068afacdcd02958bdcce30bb50cc1700a8b9d624a6"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c8ae8a0f02f57a6e61203a31428fa1d677cbe50c93622b4149d5c0f319c1d19e"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:47cc91b2f4dd2833fddaedd2893006b0106129d4b94fdb6af1f4ce5a9965577c"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:82004af6c302b5d3ab2cfc4cc5f29db16123b1a8417f2e25f9066f91d4411090"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:2b7d8f6c26245217bd2ad053761201e9f9680f8ce52f0fcd8d0755aeae5b2152"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:799a7a5e4fb2d5898c60b640fd4981d6a25f1c11790935a44ce38c54e985f828"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99ae2cffebb06e6c22bdc25801d7b30f503cc87dbd283479e7b606f70aff57ec"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-win32.whl", hash = "sha256:f9d332f8c2a2fcbffe1378594431458ddbef721c1769d78e2cbc06280d8155f9"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-win_amd64.whl", hash = "sha256:8a6562c3700cce886c5be75ade4a5db4214fda19fede41d9792d100288d8f94c"}, - {file = "charset_normalizer-3.4.4-cp314-cp314-win_arm64.whl", hash = "sha256:de00632ca48df9daf77a2c65a484531649261ec9f25489917f09e455cb09ddb2"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ce8a0633f41a967713a59c4139d29110c07e826d131a316b50ce11b1d79b4f84"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:eaabd426fe94daf8fd157c32e571c85cb12e66692f15516a83a03264b08d06c3"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:c4ef880e27901b6cc782f1b95f82da9313c0eb95c3af699103088fa0ac3ce9ac"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2aaba3b0819274cc41757a1da876f810a3e4d7b6eb25699253a4effef9e8e4af"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:778d2e08eda00f4256d7f672ca9fef386071c9202f5e4607920b86d7803387f2"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f155a433c2ec037d4e8df17d18922c3a0d9b3232a396690f17175d2946f0218d"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:a8bf8d0f749c5757af2142fe7903a9df1d2e8aa3841559b2bad34b08d0e2bcf3"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:194f08cbb32dc406d6e1aea671a68be0823673db2832b38405deba2fb0d88f63"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:6aee717dcfead04c6eb1ce3bd29ac1e22663cdea57f943c87d1eab9a025438d7"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:cd4b7ca9984e5e7985c12bc60a6f173f3c958eae74f3ef6624bb6b26e2abbae4"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_riscv64.whl", hash = "sha256:b7cf1017d601aa35e6bb650b6ad28652c9cd78ee6caff19f3c28d03e1c80acbf"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:e912091979546adf63357d7e2ccff9b44f026c075aeaf25a52d0e95ad2281074"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5cb4d72eea50c8868f5288b7f7f33ed276118325c1dfd3957089f6b519e1382a"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-win32.whl", hash = "sha256:837c2ce8c5a65a2035be9b3569c684358dfbf109fd3b6969630a87535495ceaa"}, - {file = "charset_normalizer-3.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:44c2a8734b333e0578090c4cd6b16f275e07aa6614ca8715e6c038e865e70576"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a9768c477b9d7bd54bc0c86dbaebdec6f03306675526c9927c0e8a04e8f94af9"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1bee1e43c28aa63cb16e5c14e582580546b08e535299b8b6158a7c9c768a1f3d"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:fd44c878ea55ba351104cb93cc85e74916eb8fa440ca7903e57575e97394f608"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:0f04b14ffe5fdc8c4933862d8306109a2c51e0704acfa35d51598eb45a1e89fc"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:cd09d08005f958f370f539f186d10aec3377d55b9eeb0d796025d4886119d76e"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4fe7859a4e3e8457458e2ff592f15ccb02f3da787fcd31e0183879c3ad4692a1"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:fa09f53c465e532f4d3db095e0c55b615f010ad81803d383195b6b5ca6cbf5f3"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7fa17817dc5625de8a027cb8b26d9fefa3ea28c8253929b8d6649e705d2835b6"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:5947809c8a2417be3267efc979c47d76a079758166f7d43ef5ae8e9f92751f88"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:4902828217069c3c5c71094537a8e623f5d097858ac6ca8252f7b4d10b7560f1"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_riscv64.whl", hash = "sha256:7c308f7e26e4363d79df40ca5b2be1c6ba9f02bdbccfed5abddb7859a6ce72cf"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:2c9d3c380143a1fedbff95a312aa798578371eb29da42106a29019368a475318"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb01158d8b88ee68f15949894ccc6712278243d95f344770fa7593fa2d94410c"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-win32.whl", hash = "sha256:2677acec1a2f8ef614c6888b5b4ae4060cc184174a938ed4e8ef690e15d3e505"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:f8e160feb2aed042cd657a72acc0b481212ed28b1b9a95c0cee1621b524e1966"}, - {file = "charset_normalizer-3.4.4-cp39-cp39-win_arm64.whl", hash = "sha256:b5d84d37db046c5ca74ee7bb47dd6cbc13f80665fdde3e8040bdd3fb015ecb50"}, - {file = "charset_normalizer-3.4.4-py3-none-any.whl", hash = "sha256:7a32c560861a02ff789ad905a2fe94e3f840803362c84fecf1851cb4cf3dc37f"}, - {file = "charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a"}, -] - -[[package]] -name = "click" -version = "8.3.1" -description = "Composable command line interface toolkit" -optional = false -python-versions = ">=3.10" -groups = ["main", "dev", "shiny"] -files = [ - {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, - {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, -] -markers = {shiny = "platform_system != \"Emscripten\""} - -[package.dependencies] -colorama = {version = "*", markers = "platform_system == \"Windows\""} - -[[package]] -name = "cloudpickle" -version = "3.1.2" -description = "Pickler class to extend the standard pickle.Pickler functionality" -optional = false -python-versions = ">=3.8" -groups = ["dev-benchmark"] -files = [ - {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"}, - {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"}, -] - -[[package]] -name = "colorama" -version = "0.4.6" -description = "Cross-platform colored terminal text." -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["main", "dev", "shiny"] -files = [ - {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, - {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, -] -markers = {shiny = "platform_system == \"Windows\""} - -[[package]] -name = "comm" -version = "0.2.3" -description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"}, - {file = "comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971"}, -] - -[package.extras] -test = ["pytest"] - -[[package]] -name = "contourpy" -version = "1.3.2" -description = "Python library for calculating contours of 2D quadrilateral grids" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"}, - {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"}, - {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d"}, - {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9"}, - {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512"}, - {file = "contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631"}, - {file = "contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f"}, - {file = "contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2"}, - {file = "contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0"}, - {file = "contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a"}, - {file = "contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445"}, - {file = "contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773"}, - {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1"}, - {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43"}, - {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab"}, - {file = "contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7"}, - {file = "contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83"}, - {file = "contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd"}, - {file = "contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f"}, - {file = "contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878"}, - {file = "contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2"}, - {file = "contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15"}, - {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92"}, - {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87"}, - {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415"}, - {file = "contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe"}, - {file = "contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441"}, - {file = "contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e"}, - {file = "contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912"}, - {file = "contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73"}, - {file = "contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb"}, - {file = "contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08"}, - {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c"}, - {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f"}, - {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85"}, - {file = "contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841"}, - {file = "contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422"}, - {file = "contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef"}, - {file = "contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f"}, - {file = "contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9"}, - {file = "contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f"}, - {file = "contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739"}, - {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823"}, - {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5"}, - {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532"}, - {file = "contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b"}, - {file = "contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52"}, - {file = "contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd"}, - {file = "contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1"}, - {file = "contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69"}, - {file = "contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c"}, - {file = "contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16"}, - {file = "contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad"}, - {file = "contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0"}, - {file = "contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5"}, - {file = "contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5"}, - {file = "contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54"}, -] - -[package.dependencies] -numpy = ">=1.23" - -[package.extras] -bokeh = ["bokeh", "selenium"] -docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] -mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "types-Pillow"] -test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] -test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] - -[[package]] -name = "contourpy" -version = "1.3.3" -description = "Python library for calculating contours of 2D quadrilateral grids" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1"}, - {file = "contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381"}, - {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7"}, - {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1"}, - {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a"}, - {file = "contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db"}, - {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620"}, - {file = "contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f"}, - {file = "contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff"}, - {file = "contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42"}, - {file = "contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470"}, - {file = "contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb"}, - {file = "contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6"}, - {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7"}, - {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8"}, - {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea"}, - {file = "contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1"}, - {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7"}, - {file = "contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411"}, - {file = "contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69"}, - {file = "contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b"}, - {file = "contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc"}, - {file = "contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5"}, - {file = "contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1"}, - {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286"}, - {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5"}, - {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67"}, - {file = "contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9"}, - {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659"}, - {file = "contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7"}, - {file = "contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d"}, - {file = "contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263"}, - {file = "contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9"}, - {file = "contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d"}, - {file = "contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216"}, - {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae"}, - {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20"}, - {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99"}, - {file = "contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b"}, - {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a"}, - {file = "contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e"}, - {file = "contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3"}, - {file = "contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8"}, - {file = "contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301"}, - {file = "contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a"}, - {file = "contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77"}, - {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5"}, - {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4"}, - {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36"}, - {file = "contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3"}, - {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b"}, - {file = "contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36"}, - {file = "contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d"}, - {file = "contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd"}, - {file = "contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339"}, - {file = "contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772"}, - {file = "contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77"}, - {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13"}, - {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe"}, - {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f"}, - {file = "contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0"}, - {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4"}, - {file = "contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f"}, - {file = "contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae"}, - {file = "contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc"}, - {file = "contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b"}, - {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497"}, - {file = "contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8"}, - {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e"}, - {file = "contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989"}, - {file = "contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77"}, - {file = "contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880"}, -] - -[package.dependencies] -numpy = ">=1.25" - -[package.extras] -bokeh = ["bokeh", "selenium"] -docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] -mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.17.0)", "types-Pillow"] -test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] -test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] - -[[package]] -name = "cuda-bindings" -version = "12.9.4" -description = "Python bindings for CUDA" -optional = false -python-versions = "*" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a022c96b8bd847e8dc0675523431149a4c3e872f440e3002213dbb9e08f0331a"}, - {file = "cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d3c842c2a4303b2a580fe955018e31aea30278be19795ae05226235268032e5"}, - {file = "cuda_bindings-12.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:f69107389e6b9948969bfd0a20c4f571fd1aefcfb1d2e1b72cc8ba5ecb7918ab"}, - {file = "cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a6a429dc6c13148ff1e27c44f40a3dd23203823e637b87fd0854205195988306"}, - {file = "cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9"}, - {file = "cuda_bindings-12.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:443b0875916879c2e4c3722941e25e42d5ab9bcbf34c9e83404fb100fa1f6913"}, - {file = "cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:694ba35023846625ef471257e6b5a4bc8af690f961d197d77d34b1d1db393f56"}, - {file = "cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8"}, - {file = "cuda_bindings-12.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:696ca75d249ddf287d01b9a698b8e2d8a05046495a9c051ca15659dc52d17615"}, - {file = "cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8bfaedc238f3b115d957d1fd6562b7e8435ba57f6d0e2f87d0e7149ccb2da5"}, - {file = "cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f"}, - {file = "cuda_bindings-12.9.4-cp313-cp313-win_amd64.whl", hash = "sha256:a2e82c8985948f953c2be51df45c3fe11c812a928fca525154fb9503190b3e64"}, - {file = "cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3adf4958dcf68ae7801a59b73fb00a8b37f8d0595060d66ceae111b1002de38d"}, - {file = "cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb"}, - {file = "cuda_bindings-12.9.4-cp313-cp313t-win_amd64.whl", hash = "sha256:b32d8b685f0e66f5658bcf4601ef034e89fc2843582886f0a58784a4302da06c"}, - {file = "cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1f53a7f453d4b2643d8663d036bafe29b5ba89eb904c133180f295df6dc151e5"}, - {file = "cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686"}, - {file = "cuda_bindings-12.9.4-cp314-cp314-win_amd64.whl", hash = "sha256:53a10c71fdbdb743e0268d07964e5a996dd00b4e43831cbfce9804515d97d575"}, - {file = "cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:20f2699d61d724de3eb3f3369d57e2b245f93085cab44fd37c3bea036cea1a6f"}, - {file = "cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee"}, - {file = "cuda_bindings-12.9.4-cp314-cp314t-win_amd64.whl", hash = "sha256:53e11991a92ff6f26a0c8a98554cd5d6721c308a6b7bfb08bebac9201e039e43"}, - {file = "cuda_bindings-12.9.4-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:893ca68114b5b769c1d4c02583b91ed22691887c3ed513b59467d23540104db4"}, - {file = "cuda_bindings-12.9.4-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9866ceec83e39337d1a1d64837864c964ad902992478caa288a0bc1be95f21aa"}, - {file = "cuda_bindings-12.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:37744e721a18a514423e81863f52a4f7f46f5a6f9cccd569f2735f8067f4d8c2"}, -] - -[package.dependencies] -cuda-pathfinder = ">=1.1,<2.0" - -[package.extras] -all = ["nvidia-cuda-nvcc-cu12", "nvidia-cuda-nvrtc-cu12", "nvidia-cufile-cu12 ; sys_platform == \"linux\"", "nvidia-nvjitlink-cu12 (>=12.3)"] -test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest (>=6.2.4)", "pytest-benchmark (>=3.4.1)", "setuptools (>=77.0.0)"] - -[[package]] -name = "cuda-pathfinder" -version = "1.3.3" -description = "Pathfinder for CUDA components" -optional = false -python-versions = ">=3.10" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "cuda_pathfinder-1.3.3-py3-none-any.whl", hash = "sha256:9984b664e404f7c134954a771be8775dfd6180ea1e1aef4a5a37d4be05d9bbb1"}, -] - -[[package]] -name = "cycler" -version = "0.12.1" -description = "Composable style cycles" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, - {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, -] - -[package.extras] -docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] -tests = ["pytest", "pytest-cov", "pytest-xdist"] - -[[package]] -name = "debugpy" -version = "1.8.19" -description = "An implementation of the Debug Adapter Protocol for Python" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "debugpy-1.8.19-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:fce6da15d73be5935b4438435c53adb512326a3e11e4f90793ea87cd9f018254"}, - {file = "debugpy-1.8.19-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:e24b1652a1df1ab04d81e7ead446a91c226de704ff5dde6bd0a0dbaab07aa3f2"}, - {file = "debugpy-1.8.19-cp310-cp310-win32.whl", hash = "sha256:327cb28c3ad9e17bc925efc7f7018195fd4787c2fe4b7af1eec11f1d19bdec62"}, - {file = "debugpy-1.8.19-cp310-cp310-win_amd64.whl", hash = "sha256:b7dd275cf2c99e53adb9654f5ae015f70415bbe2bacbe24cfee30d54b6aa03c5"}, - {file = "debugpy-1.8.19-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:c5dcfa21de1f735a4f7ced4556339a109aa0f618d366ede9da0a3600f2516d8b"}, - {file = "debugpy-1.8.19-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:806d6800246244004625d5222d7765874ab2d22f3ba5f615416cf1342d61c488"}, - {file = "debugpy-1.8.19-cp311-cp311-win32.whl", hash = "sha256:783a519e6dfb1f3cd773a9bda592f4887a65040cb0c7bd38dde410f4e53c40d4"}, - {file = "debugpy-1.8.19-cp311-cp311-win_amd64.whl", hash = "sha256:14035cbdbb1fe4b642babcdcb5935c2da3b1067ac211c5c5a8fdc0bb31adbcaa"}, - {file = "debugpy-1.8.19-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:bccb1540a49cde77edc7ce7d9d075c1dbeb2414751bc0048c7a11e1b597a4c2e"}, - {file = "debugpy-1.8.19-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:e9c68d9a382ec754dc05ed1d1b4ed5bd824b9f7c1a8cd1083adb84b3c93501de"}, - {file = "debugpy-1.8.19-cp312-cp312-win32.whl", hash = "sha256:6599cab8a783d1496ae9984c52cb13b7c4a3bd06a8e6c33446832a5d97ce0bee"}, - {file = "debugpy-1.8.19-cp312-cp312-win_amd64.whl", hash = "sha256:66e3d2fd8f2035a8f111eb127fa508469dfa40928a89b460b41fd988684dc83d"}, - {file = "debugpy-1.8.19-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:91e35db2672a0abaf325f4868fcac9c1674a0d9ad9bb8a8c849c03a5ebba3e6d"}, - {file = "debugpy-1.8.19-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:85016a73ab84dea1c1f1dcd88ec692993bcbe4532d1b49ecb5f3c688ae50c606"}, - {file = "debugpy-1.8.19-cp313-cp313-win32.whl", hash = "sha256:b605f17e89ba0ecee994391194285fada89cee111cfcd29d6f2ee11cbdc40976"}, - {file = "debugpy-1.8.19-cp313-cp313-win_amd64.whl", hash = "sha256:c30639998a9f9cd9699b4b621942c0179a6527f083c72351f95c6ab1728d5b73"}, - {file = "debugpy-1.8.19-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:1e8c4d1bd230067bf1bbcdbd6032e5a57068638eb28b9153d008ecde288152af"}, - {file = "debugpy-1.8.19-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:d40c016c1f538dbf1762936e3aeb43a89b965069d9f60f9e39d35d9d25e6b809"}, - {file = "debugpy-1.8.19-cp314-cp314-win32.whl", hash = "sha256:0601708223fe1cd0e27c6cce67a899d92c7d68e73690211e6788a4b0e1903f5b"}, - {file = "debugpy-1.8.19-cp314-cp314-win_amd64.whl", hash = "sha256:8e19a725f5d486f20e53a1dde2ab8bb2c9607c40c00a42ab646def962b41125f"}, - {file = "debugpy-1.8.19-cp38-cp38-macosx_15_0_x86_64.whl", hash = "sha256:d9b6f633fd2865af2afba2beb0c1819b6ecd4aed1c8f90f5d1bbca3272306b10"}, - {file = "debugpy-1.8.19-cp38-cp38-manylinux_2_34_x86_64.whl", hash = "sha256:a21bfdea088f713df05fa246ba0520f6ba44dd7eaec224742f51987a6979a648"}, - {file = "debugpy-1.8.19-cp38-cp38-win32.whl", hash = "sha256:b1cb98e5325da3059ca24445fca48314bfddfdf65ce1b59ff07055e723f06bd2"}, - {file = "debugpy-1.8.19-cp38-cp38-win_amd64.whl", hash = "sha256:c9b9bf440141a36836bdbe4320a2b126bb38aafa85e1aed05d7bfbb0e2a278bf"}, - {file = "debugpy-1.8.19-cp39-cp39-macosx_15_0_x86_64.whl", hash = "sha256:c047177ab2d286451f242b855b650d313198c4a987140d4b35218b2855a64a4a"}, - {file = "debugpy-1.8.19-cp39-cp39-manylinux_2_34_x86_64.whl", hash = "sha256:4468de0c30012d367944f0eab4ecb8371736e8ef9522a465f61214f344c11183"}, - {file = "debugpy-1.8.19-cp39-cp39-win32.whl", hash = "sha256:7b62c0f015120ede25e5124a5f9d8a424e1208e3d96a36c89958f046ee21fff6"}, - {file = "debugpy-1.8.19-cp39-cp39-win_amd64.whl", hash = "sha256:76f566baaf7f3e06adbe67ffedccd2ee911d1e486f55931939ce3f0fe1090774"}, - {file = "debugpy-1.8.19-py2.py3-none-any.whl", hash = "sha256:360ffd231a780abbc414ba0f005dad409e71c78637efe8f2bd75837132a41d38"}, - {file = "debugpy-1.8.19.tar.gz", hash = "sha256:eea7e5987445ab0b5ed258093722d5ecb8bb72217c5c9b1e21f64efe23ddebdb"}, -] - -[[package]] -name = "decorator" -version = "5.2.1" -description = "Decorators for Humans" -optional = false -python-versions = ">=3.8" -groups = ["main", "dev"] -files = [ - {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, - {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, -] - -[[package]] -name = "defusedxml" -version = "0.7.1" -description = "XML bomb protection for Python stdlib modules" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -groups = ["dev"] -files = [ - {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, - {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, -] - -[[package]] -name = "dill" -version = "0.4.1" -description = "serialize all of Python" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d"}, - {file = "dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa"}, -] - -[package.extras] -graph = ["objgraph (>=1.7.2)"] -profile = ["gprof2dot (>=2022.7.29)"] - -[[package]] -name = "docopt" -version = "0.6.2" -description = "Pythonic argument parser, that will make you smile" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "docopt-0.6.2.tar.gz", hash = "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491"}, -] - -[[package]] -name = "doit" -version = "0.36.0" -description = "doit - Automation Tool" -optional = false -python-versions = ">=3.8" -groups = ["dev-benchmark"] -files = [ - {file = "doit-0.36.0-py3-none-any.whl", hash = "sha256:ebc285f6666871b5300091c26eafdff3de968a6bd60ea35dd1e3fc6f2e32479a"}, - {file = "doit-0.36.0.tar.gz", hash = "sha256:71d07ccc9514cb22fe59d98999577665eaab57e16f644d04336ae0b4bae234bc"}, -] - -[package.dependencies] -cloudpickle = "*" -importlib-metadata = ">=4.4" - -[package.extras] -toml = ["tomli ; python_version < \"3.11\""] - -[[package]] -name = "exceptiongroup" -version = "1.3.1" -description = "Backport of PEP 654 (exception groups)" -optional = false -python-versions = ">=3.7" -groups = ["dev", "shiny"] -markers = "python_version == \"3.10\"" -files = [ - {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, - {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, -] - -[package.dependencies] -typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""} - -[package.extras] -test = ["pytest (>=6)"] - -[[package]] -name = "executing" -version = "2.2.1" -description = "Get the currently executing AST node of a frame, and other information" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"}, - {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"}, -] - -[package.extras] -tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""] - -[[package]] -name = "fastjsonschema" -version = "2.21.2" -description = "Fastest Python implementation of JSON schema" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463"}, - {file = "fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de"}, -] - -[package.extras] -devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] - -[[package]] -name = "filelock" -version = "3.20.3" -description = "A platform independent file lock." -optional = false -python-versions = ">=3.10" -groups = ["optim-torch"] -files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, - {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, -] - -[[package]] -name = "fonttools" -version = "4.61.1" -description = "Tools to manipulate font files" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c7db70d57e5e1089a274cbb2b1fd635c9a24de809a231b154965d415d6c6d24"}, - {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5fe9fd43882620017add5eabb781ebfbc6998ee49b35bd7f8f79af1f9f99a958"}, - {file = "fonttools-4.61.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8db08051fc9e7d8bc622f2112511b8107d8f27cd89e2f64ec45e9825e8288da"}, - {file = "fonttools-4.61.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a76d4cb80f41ba94a6691264be76435e5f72f2cb3cab0b092a6212855f71c2f6"}, - {file = "fonttools-4.61.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a13fc8aeb24bad755eea8f7f9d409438eb94e82cf86b08fe77a03fbc8f6a96b1"}, - {file = "fonttools-4.61.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b846a1fcf8beadeb9ea4f44ec5bdde393e2f1569e17d700bfc49cd69bde75881"}, - {file = "fonttools-4.61.1-cp310-cp310-win32.whl", hash = "sha256:78a7d3ab09dc47ac1a363a493e6112d8cabed7ba7caad5f54dbe2f08676d1b47"}, - {file = "fonttools-4.61.1-cp310-cp310-win_amd64.whl", hash = "sha256:eff1ac3cc66c2ac7cda1e64b4e2f3ffef474b7335f92fc3833fc632d595fcee6"}, - {file = "fonttools-4.61.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c6604b735bb12fef8e0efd5578c9fb5d3d8532d5001ea13a19cddf295673ee09"}, - {file = "fonttools-4.61.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5ce02f38a754f207f2f06557523cd39a06438ba3aafc0639c477ac409fc64e37"}, - {file = "fonttools-4.61.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:77efb033d8d7ff233385f30c62c7c79271c8885d5c9657d967ede124671bbdfb"}, - {file = "fonttools-4.61.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:75c1a6dfac6abd407634420c93864a1e274ebc1c7531346d9254c0d8f6ca00f9"}, - {file = "fonttools-4.61.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0de30bfe7745c0d1ffa2b0b7048fb7123ad0d71107e10ee090fa0b16b9452e87"}, - {file = "fonttools-4.61.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:58b0ee0ab5b1fc9921eccfe11d1435added19d6494dde14e323f25ad2bc30c56"}, - {file = "fonttools-4.61.1-cp311-cp311-win32.whl", hash = "sha256:f79b168428351d11e10c5aeb61a74e1851ec221081299f4cf56036a95431c43a"}, - {file = "fonttools-4.61.1-cp311-cp311-win_amd64.whl", hash = "sha256:fe2efccb324948a11dd09d22136fe2ac8a97d6c1347cf0b58a911dcd529f66b7"}, - {file = "fonttools-4.61.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f3cb4a569029b9f291f88aafc927dd53683757e640081ca8c412781ea144565e"}, - {file = "fonttools-4.61.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41a7170d042e8c0024703ed13b71893519a1a6d6e18e933e3ec7507a2c26a4b2"}, - {file = "fonttools-4.61.1-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:10d88e55330e092940584774ee5e8a6971b01fc2f4d3466a1d6c158230880796"}, - {file = "fonttools-4.61.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:15acc09befd16a0fb8a8f62bc147e1a82817542d72184acca9ce6e0aeda9fa6d"}, - {file = "fonttools-4.61.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e6bcdf33aec38d16508ce61fd81838f24c83c90a1d1b8c68982857038673d6b8"}, - {file = "fonttools-4.61.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5fade934607a523614726119164ff621e8c30e8fa1ffffbbd358662056ba69f0"}, - {file = "fonttools-4.61.1-cp312-cp312-win32.whl", hash = "sha256:75da8f28eff26defba42c52986de97b22106cb8f26515b7c22443ebc9c2d3261"}, - {file = "fonttools-4.61.1-cp312-cp312-win_amd64.whl", hash = "sha256:497c31ce314219888c0e2fce5ad9178ca83fe5230b01a5006726cdf3ac9f24d9"}, - {file = "fonttools-4.61.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c56c488ab471628ff3bfa80964372fc13504ece601e0d97a78ee74126b2045c"}, - {file = "fonttools-4.61.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dc492779501fa723b04d0ab1f5be046797fee17d27700476edc7ee9ae535a61e"}, - {file = "fonttools-4.61.1-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:64102ca87e84261419c3747a0d20f396eb024bdbeb04c2bfb37e2891f5fadcb5"}, - {file = "fonttools-4.61.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c1b526c8d3f615a7b1867f38a9410849c8f4aef078535742198e942fba0e9bd"}, - {file = "fonttools-4.61.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:41ed4b5ec103bd306bb68f81dc166e77409e5209443e5773cb4ed837bcc9b0d3"}, - {file = "fonttools-4.61.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b501c862d4901792adaec7c25b1ecc749e2662543f68bb194c42ba18d6eec98d"}, - {file = "fonttools-4.61.1-cp313-cp313-win32.whl", hash = "sha256:4d7092bb38c53bbc78e9255a59158b150bcdc115a1e3b3ce0b5f267dc35dd63c"}, - {file = "fonttools-4.61.1-cp313-cp313-win_amd64.whl", hash = "sha256:21e7c8d76f62ab13c9472ccf74515ca5b9a761d1bde3265152a6dc58700d895b"}, - {file = "fonttools-4.61.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fff4f534200a04b4a36e7ae3cb74493afe807b517a09e99cb4faa89a34ed6ecd"}, - {file = "fonttools-4.61.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:d9203500f7c63545b4ce3799319fe4d9feb1a1b89b28d3cb5abd11b9dd64147e"}, - {file = "fonttools-4.61.1-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fa646ecec9528bef693415c79a86e733c70a4965dd938e9a226b0fc64c9d2e6c"}, - {file = "fonttools-4.61.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:11f35ad7805edba3aac1a3710d104592df59f4b957e30108ae0ba6c10b11dd75"}, - {file = "fonttools-4.61.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:b931ae8f62db78861b0ff1ac017851764602288575d65b8e8ff1963fed419063"}, - {file = "fonttools-4.61.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b148b56f5de675ee16d45e769e69f87623a4944f7443850bf9a9376e628a89d2"}, - {file = "fonttools-4.61.1-cp314-cp314-win32.whl", hash = "sha256:9b666a475a65f4e839d3d10473fad6d47e0a9db14a2f4a224029c5bfde58ad2c"}, - {file = "fonttools-4.61.1-cp314-cp314-win_amd64.whl", hash = "sha256:4f5686e1fe5fce75d82d93c47a438a25bf0d1319d2843a926f741140b2b16e0c"}, - {file = "fonttools-4.61.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:e76ce097e3c57c4bcb67c5aa24a0ecdbd9f74ea9219997a707a4061fbe2707aa"}, - {file = "fonttools-4.61.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9cfef3ab326780c04d6646f68d4b4742aae222e8b8ea1d627c74e38afcbc9d91"}, - {file = "fonttools-4.61.1-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a75c301f96db737e1c5ed5fd7d77d9c34466de16095a266509e13da09751bd19"}, - {file = "fonttools-4.61.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:91669ccac46bbc1d09e9273546181919064e8df73488ea087dcac3e2968df9ba"}, - {file = "fonttools-4.61.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c33ab3ca9d3ccd581d58e989d67554e42d8d4ded94ab3ade3508455fe70e65f7"}, - {file = "fonttools-4.61.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:664c5a68ec406f6b1547946683008576ef8b38275608e1cee6c061828171c118"}, - {file = "fonttools-4.61.1-cp314-cp314t-win32.whl", hash = "sha256:aed04cabe26f30c1647ef0e8fbb207516fd40fe9472e9439695f5c6998e60ac5"}, - {file = "fonttools-4.61.1-cp314-cp314t-win_amd64.whl", hash = "sha256:2180f14c141d2f0f3da43f3a81bc8aa4684860f6b0e6f9e165a4831f24e6a23b"}, - {file = "fonttools-4.61.1-py3-none-any.whl", hash = "sha256:17d2bf5d541add43822bcf0c43d7d847b160c9bb01d15d5007d84e2217aaa371"}, - {file = "fonttools-4.61.1.tar.gz", hash = "sha256:6675329885c44657f826ef01d9e4fb33b9158e9d93c537d84ad8399539bc6f69"}, -] - -[package.extras] -all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.45.0)", "unicodedata2 (>=17.0.0) ; python_version <= \"3.14\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"] -graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""] -lxml = ["lxml (>=4.0)"] -pathops = ["skia-pathops (>=0.5.0)"] -plot = ["matplotlib"] -repacker = ["uharfbuzz (>=0.45.0)"] -symfont = ["sympy"] -type1 = ["xattr ; sys_platform == \"darwin\""] -unicode = ["unicodedata2 (>=17.0.0) ; python_version <= \"3.14\""] -woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"] - -[[package]] -name = "fqdn" -version = "1.5.1" -description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" -optional = false -python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" -groups = ["dev"] -files = [ - {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, - {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, -] - -[[package]] -name = "fsspec" -version = "2026.2.0" -description = "File-system specification" -optional = false -python-versions = ">=3.10" -groups = ["optim-torch"] -files = [ - {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, - {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, -] - -[package.extras] -abfs = ["adlfs"] -adl = ["adlfs"] -arrow = ["pyarrow (>=1)"] -dask = ["dask", "distributed"] -dev = ["pre-commit", "ruff (>=0.5)"] -doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] -dropbox = ["dropbox", "dropboxdrivefs", "requests"] -full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"] -fuse = ["fusepy"] -gcs = ["gcsfs (>2024.2.0)"] -git = ["pygit2"] -github = ["requests"] -gs = ["gcsfs"] -gui = ["panel"] -hdfs = ["pyarrow (>=1)"] -http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] -libarchive = ["libarchive-c"] -oci = ["ocifs"] -s3 = ["s3fs (>2024.2.0)"] -sftp = ["paramiko"] -smb = ["smbprotocol"] -ssh = ["paramiko"] -test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] -test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] -tqdm = ["tqdm"] - -[[package]] -name = "ghp-import" -version = "2.1.0" -description = "Copy your docs directly to the gh-pages branch." -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"}, - {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"}, -] - -[package.dependencies] -python-dateutil = ">=2.8.1" - -[package.extras] -dev = ["flake8", "markdown", "twine", "wheel"] - -[[package]] -name = "griffe" -version = "1.15.0" -description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "griffe-1.15.0-py3-none-any.whl", hash = "sha256:6f6762661949411031f5fcda9593f586e6ce8340f0ba88921a0f2ef7a81eb9a3"}, - {file = "griffe-1.15.0.tar.gz", hash = "sha256:7726e3afd6f298fbc3696e67958803e7ac843c1cfe59734b6251a40cdbfb5eea"}, -] - -[package.dependencies] -colorama = ">=0.4" - -[package.extras] -pypi = ["pip (>=24.0)", "platformdirs (>=4.2)", "wheel (>=0.42)"] - -[[package]] -name = "h11" -version = "0.16.0" -description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" -optional = false -python-versions = ">=3.8" -groups = ["dev", "shiny"] -files = [ - {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, - {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, -] -markers = {shiny = "platform_system != \"Emscripten\""} - -[[package]] -name = "h5io" -version = "0.2.5" -description = "Python Objects Onto HDF5" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "h5io-0.2.5-py3-none-any.whl", hash = "sha256:657f85ecd0d0f307ccd2e13dc7af1c0aa546b1598065229aedab8a6afcacb8ee"}, - {file = "h5io-0.2.5.tar.gz", hash = "sha256:265bc9c24508b30575e8a8806b19cd4440643ff26f8b82b51d0280444807eed8"}, -] - -[package.dependencies] -h5py = "*" -numpy = "*" - -[[package]] -name = "h5py" -version = "3.15.1" -description = "Read and write HDF5 files from Python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "h5py-3.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:67e59f6c2f19a32973a40f43d9a088ae324fe228c8366e25ebc57ceebf093a6b"}, - {file = "h5py-3.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e2f471688402c3404fa4e13466e373e622fd4b74b47b56cfdff7cc688209422"}, - {file = "h5py-3.15.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c45802bcb711e128a6839cb6c01e9ac648dc55df045c9542a675c771f15c8d5"}, - {file = "h5py-3.15.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:64ce3f6470adb87c06e3a8dd1b90e973699f1759ad79bfa70c230939bff356c9"}, - {file = "h5py-3.15.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4411c1867b9899a25e983fff56d820a66f52ac326bbe10c7cdf7d832c9dcd883"}, - {file = "h5py-3.15.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2cbc4104d3d4aca9d6db8c0c694555e255805bfeacf9eb1349bda871e26cacbe"}, - {file = "h5py-3.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:01f55111ca516f5568ae7a7fc8247dfce607de331b4467ee8a9a6ed14e5422c7"}, - {file = "h5py-3.15.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5aaa330bcbf2830150c50897ea5dcbed30b5b6d56897289846ac5b9e529ec243"}, - {file = "h5py-3.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c970fb80001fffabb0109eaf95116c8e7c0d3ca2de854e0901e8a04c1f098509"}, - {file = "h5py-3.15.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:80e5bb5b9508d5d9da09f81fd00abbb3f85da8143e56b1585d59bc8ceb1dba8b"}, - {file = "h5py-3.15.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5b849ba619a066196169763c33f9f0f02e381156d61c03e000bb0100f9950faf"}, - {file = "h5py-3.15.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e7f6c841efd4e6e5b7e82222eaf90819927b6d256ab0f3aca29675601f654f3c"}, - {file = "h5py-3.15.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ca8a3a22458956ee7b40d8e39c9a9dc01f82933e4c030c964f8b875592f4d831"}, - {file = "h5py-3.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:550e51131376889656feec4aff2170efc054a7fe79eb1da3bb92e1625d1ac878"}, - {file = "h5py-3.15.1-cp311-cp311-win_arm64.whl", hash = "sha256:b39239947cb36a819147fc19e86b618dcb0953d1cd969f5ed71fc0de60392427"}, - {file = "h5py-3.15.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:316dd0f119734f324ca7ed10b5627a2de4ea42cc4dfbcedbee026aaa361c238c"}, - {file = "h5py-3.15.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b51469890e58e85d5242e43aab29f5e9c7e526b951caab354f3ded4ac88e7b76"}, - {file = "h5py-3.15.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a33bfd5dfcea037196f7778534b1ff7e36a7f40a89e648c8f2967292eb6898e"}, - {file = "h5py-3.15.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25c8843fec43b2cc368aa15afa1cdf83fc5e17b1c4e10cd3771ef6c39b72e5ce"}, - {file = "h5py-3.15.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a308fd8681a864c04423c0324527237a0484e2611e3441f8089fd00ed56a8171"}, - {file = "h5py-3.15.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f4a016df3f4a8a14d573b496e4d1964deb380e26031fc85fb40e417e9131888a"}, - {file = "h5py-3.15.1-cp312-cp312-win_amd64.whl", hash = "sha256:59b25cf02411bf12e14f803fef0b80886444c7fe21a5ad17c6a28d3f08098a1e"}, - {file = "h5py-3.15.1-cp312-cp312-win_arm64.whl", hash = "sha256:61d5a58a9851e01ee61c932bbbb1c98fe20aba0a5674776600fb9a361c0aa652"}, - {file = "h5py-3.15.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c8440fd8bee9500c235ecb7aa1917a0389a2adb80c209fa1cc485bd70e0d94a5"}, - {file = "h5py-3.15.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ab2219dbc6fcdb6932f76b548e2b16f34a1f52b7666e998157a4dfc02e2c4123"}, - {file = "h5py-3.15.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8cb02c3a96255149ed3ac811eeea25b655d959c6dd5ce702c9a95ff11859eb5"}, - {file = "h5py-3.15.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:121b2b7a4c1915d63737483b7bff14ef253020f617c2fb2811f67a4bed9ac5e8"}, - {file = "h5py-3.15.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:59b0d63b318bf3cc06687def2b45afd75926bbc006f7b8cd2b1a231299fc8599"}, - {file = "h5py-3.15.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e02fe77a03f652500d8bff288cbf3675f742fc0411f5a628fa37116507dc7cc0"}, - {file = "h5py-3.15.1-cp313-cp313-win_amd64.whl", hash = "sha256:dea78b092fd80a083563ed79a3171258d4a4d307492e7cf8b2313d464c82ba52"}, - {file = "h5py-3.15.1-cp313-cp313-win_arm64.whl", hash = "sha256:c256254a8a81e2bddc0d376e23e2a6d2dc8a1e8a2261835ed8c1281a0744cd97"}, - {file = "h5py-3.15.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:5f4fb0567eb8517c3ecd6b3c02c4f4e9da220c8932604960fd04e24ee1254763"}, - {file = "h5py-3.15.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:954e480433e82d3872503104f9b285d369048c3a788b2b1a00e53d1c47c98dd2"}, - {file = "h5py-3.15.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fd125c131889ebbef0849f4a0e29cf363b48aba42f228d08b4079913b576bb3a"}, - {file = "h5py-3.15.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:28a20e1a4082a479b3d7db2169f3a5034af010b90842e75ebbf2e9e49eb4183e"}, - {file = "h5py-3.15.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:fa8df5267f545b4946df8ca0d93d23382191018e4cda2deda4c2cedf9a010e13"}, - {file = "h5py-3.15.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:99d374a21f7321a4c6ab327c4ab23bd925ad69821aeb53a1e75dd809d19f67fa"}, - {file = "h5py-3.15.1-cp314-cp314-win_amd64.whl", hash = "sha256:9c73d1d7cdb97d5b17ae385153472ce118bed607e43be11e9a9deefaa54e0734"}, - {file = "h5py-3.15.1-cp314-cp314-win_arm64.whl", hash = "sha256:a6d8c5a05a76aca9a494b4c53ce8a9c29023b7f64f625c6ce1841e92a362ccdf"}, - {file = "h5py-3.15.1.tar.gz", hash = "sha256:c86e3ed45c4473564de55aa83b6fc9e5ead86578773dfbd93047380042e26b69"}, -] - -[package.dependencies] -numpy = ">=1.21.2" - -[[package]] -name = "htmltools" -version = "0.6.0" -description = "Tools for HTML generation and output." -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -files = [ - {file = "htmltools-0.6.0-py3-none-any.whl", hash = "sha256:072a274ff5e2851e0acce13fc5bb2bbdbbad8268dc8b123f881c05012ce7dce0"}, - {file = "htmltools-0.6.0.tar.gz", hash = "sha256:e8a3fb023d748935035db7ff17f620612ffc814a6a80b6ae388f7b7ab182adf7"}, -] - -[package.dependencies] -packaging = ">=20.9" -typing-extensions = ">=3.10.0.0" - -[package.extras] -dev = ["Flake8-pyproject", "black (>=24.2.0)", "build", "flake8 (>=6.0.0)", "isort (>=5.11.2)", "pre-commit (>=2.15.0)", "pyright (>=1.1.348)", "wheel"] -test = ["pytest (>=6.2.4)", "syrupy (>=4.6.0)"] - -[[package]] -name = "httpcore" -version = "1.0.9" -description = "A minimal low-level HTTP client." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, - {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, -] - -[package.dependencies] -certifi = "*" -h11 = ">=0.16" - -[package.extras] -asyncio = ["anyio (>=4.0,<5.0)"] -http2 = ["h2 (>=3,<5)"] -socks = ["socksio (==1.*)"] -trio = ["trio (>=0.22.0,<1.0)"] - -[[package]] -name = "httpx" -version = "0.28.1" -description = "The next generation HTTP client." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, - {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, -] - -[package.dependencies] -anyio = "*" -certifi = "*" -httpcore = "==1.*" -idna = "*" - -[package.extras] -brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] -cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] -http2 = ["h2 (>=3,<5)"] -socks = ["socksio (==1.*)"] -zstd = ["zstandard (>=0.18.0)"] - -[[package]] -name = "idna" -version = "3.11" -description = "Internationalized Domain Names in Applications (IDNA)" -optional = false -python-versions = ">=3.8" -groups = ["main", "dev", "shiny"] -files = [ - {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, - {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, -] - -[package.extras] -all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"] - -[[package]] -name = "imageio" -version = "2.37.2" -description = "Read and write images and video across all major formats. Supports scientific and volumetric data." -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "imageio-2.37.2-py3-none-any.whl", hash = "sha256:ad9adfb20335d718c03de457358ed69f141021a333c40a53e57273d8a5bd0b9b"}, - {file = "imageio-2.37.2.tar.gz", hash = "sha256:0212ef2727ac9caa5ca4b2c75ae89454312f440a756fcfc8ef1993e718f50f8a"}, -] - -[package.dependencies] -numpy = "*" -pillow = ">=8.3.2" - -[package.extras] -all-plugins = ["astropy", "av", "fsspec[http]", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"] -all-plugins-pypy = ["fsspec[http]", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"] -dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"] -docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"] -ffmpeg = ["imageio-ffmpeg", "psutil"] -fits = ["astropy"] -freeimage = ["fsspec[http]"] -full = ["astropy", "av", "black", "flake8", "fsspec[github,http]", "imageio-ffmpeg", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile"] -gdal = ["gdal"] -itk = ["itk"] -linting = ["black", "flake8"] -pillow-heif = ["pillow-heif"] -pyav = ["av"] -rawpy = ["numpy (>2)", "rawpy"] -test = ["fsspec[github]", "pytest", "pytest-cov"] -tifffile = ["tifffile"] - -[[package]] -name = "importlib-metadata" -version = "8.7.1" -description = "Read metadata from Python packages" -optional = false -python-versions = ">=3.9" -groups = ["dev-benchmark"] -files = [ - {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, - {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, -] - -[package.dependencies] -zipp = ">=3.20" - -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -enabler = ["pytest-enabler (>=3.4)"] -perf = ["ipython"] -test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] - -[[package]] -name = "importlib-resources" -version = "6.5.2" -description = "Read resources from Python packages" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, - {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, -] - -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -enabler = ["pytest-enabler (>=2.2)"] -test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"] -type = ["pytest-mypy"] - -[[package]] -name = "iniconfig" -version = "2.3.0" -description = "brain-dead simple config-ini parsing" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"}, - {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"}, -] - -[[package]] -name = "ipykernel" -version = "7.1.0" -description = "IPython Kernel for Jupyter" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "ipykernel-7.1.0-py3-none-any.whl", hash = "sha256:763b5ec6c5b7776f6a8d7ce09b267693b4e5ce75cb50ae696aaefb3c85e1ea4c"}, - {file = "ipykernel-7.1.0.tar.gz", hash = "sha256:58a3fc88533d5930c3546dc7eac66c6d288acde4f801e2001e65edc5dc9cf0db"}, -] - -[package.dependencies] -appnope = {version = ">=0.1.2", markers = "platform_system == \"Darwin\""} -comm = ">=0.1.1" -debugpy = ">=1.6.5" -ipython = ">=7.23.1" -jupyter-client = ">=8.0.0" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -matplotlib-inline = ">=0.1" -nest-asyncio = ">=1.4" -packaging = ">=22" -psutil = ">=5.7" -pyzmq = ">=25" -tornado = ">=6.2" -traitlets = ">=5.4.0" - -[package.extras] -cov = ["coverage[toml]", "matplotlib", "pytest-cov", "trio"] -docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx (<8.2.0)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] -pyqt5 = ["pyqt5"] -pyside6 = ["pyside6"] -test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<9)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"] - -[[package]] -name = "ipython" -version = "8.38.0" -description = "IPython: Productive Interactive Computing" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -markers = "python_version == \"3.10\"" -files = [ - {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"}, - {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "sys_platform == \"win32\""} -decorator = "*" -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} -jedi = ">=0.16" -matplotlib-inline = "*" -pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} -prompt_toolkit = ">=3.0.41,<3.1.0" -pygments = ">=2.4.0" -stack_data = "*" -traitlets = ">=5.13.0" -typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} - -[package.extras] -all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] -black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"] -kernel = ["ipykernel"] -matplotlib = ["matplotlib"] -nbconvert = ["nbconvert"] -nbformat = ["nbformat"] -notebook = ["ipywidgets", "notebook"] -parallel = ["ipyparallel"] -qtconsole = ["qtconsole"] -test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] -test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] - -[[package]] -name = "ipython" -version = "9.9.0" -description = "IPython: Productive Interactive Computing" -optional = false -python-versions = ">=3.11" -groups = ["dev"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "ipython-9.9.0-py3-none-any.whl", hash = "sha256:b457fe9165df2b84e8ec909a97abcf2ed88f565970efba16b1f7229c283d252b"}, - {file = "ipython-9.9.0.tar.gz", hash = "sha256:48fbed1b2de5e2c7177eefa144aba7fcb82dac514f09b57e2ac9da34ddb54220"}, -] - -[package.dependencies] -colorama = {version = ">=0.4.4", markers = "sys_platform == \"win32\""} -decorator = ">=4.3.2" -ipython-pygments-lexers = ">=1.0.0" -jedi = ">=0.18.1" -matplotlib-inline = ">=0.1.5" -pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} -prompt_toolkit = ">=3.0.41,<3.1.0" -pygments = ">=2.11.0" -stack_data = ">=0.6.0" -traitlets = ">=5.13.0" -typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} - -[package.extras] -all = ["argcomplete (>=3.0)", "ipython[doc,matplotlib,terminal,test,test-extra]"] -black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[matplotlib,test]", "setuptools (>=70.0)", "sphinx (>=8.0)", "sphinx-rtd-theme (>=0.1.8)", "sphinx_toml (==0.0.4)", "typing_extensions"] -matplotlib = ["matplotlib (>3.9)"] -test = ["packaging (>=20.1.0)", "pytest (>=7.0.0)", "pytest-asyncio (>=1.0.0)", "setuptools (>=61.2)", "testpath (>=0.2)"] -test-extra = ["curio", "ipykernel (>6.30)", "ipython[matplotlib]", "ipython[test]", "jupyter_ai", "nbclient", "nbformat", "numpy (>=1.27)", "pandas (>2.1)", "trio (>=0.1.0)"] - -[[package]] -name = "ipython-pygments-lexers" -version = "1.1.1" -description = "Defines a variety of Pygments lexers for highlighting IPython code." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"}, - {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"}, -] - -[package.dependencies] -pygments = "*" - -[[package]] -name = "ipywidgets" -version = "8.1.8" -description = "Jupyter interactive widgets" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e"}, - {file = "ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668"}, -] - -[package.dependencies] -comm = ">=0.1.3" -ipython = ">=6.1.0" -jupyterlab_widgets = ">=3.0.15,<3.1.0" -traitlets = ">=4.3.1" -widgetsnbextension = ">=4.0.14,<4.1.0" - -[package.extras] -test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] - -[[package]] -name = "isoduration" -version = "20.11.0" -description = "Operations with ISO 8601 durations" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, - {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, -] - -[package.dependencies] -arrow = ">=0.15.0" - -[[package]] -name = "isort" -version = "7.0.0" -description = "A Python utility / library to sort Python imports." -optional = false -python-versions = ">=3.10.0" -groups = ["dev"] -files = [ - {file = "isort-7.0.0-py3-none-any.whl", hash = "sha256:1bcabac8bc3c36c7fb7b98a76c8abb18e0f841a3ba81decac7691008592499c1"}, - {file = "isort-7.0.0.tar.gz", hash = "sha256:5513527951aadb3ac4292a41a16cbc50dd1642432f5e8c20057d414bdafb4187"}, -] - -[package.extras] -colors = ["colorama"] -plugins = ["setuptools"] - -[[package]] -name = "jedi" -version = "0.19.2" -description = "An autocompletion tool for Python that can be used for text editors." -optional = false -python-versions = ">=3.6" -groups = ["dev"] -files = [ - {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, - {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, -] - -[package.dependencies] -parso = ">=0.8.4,<0.9.0" - -[package.extras] -docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] -qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] -testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"] - -[[package]] -name = "jinja2" -version = "3.1.6" -description = "A very fast and expressive template engine." -optional = false -python-versions = ">=3.7" -groups = ["main", "dev", "optim-torch"] -files = [ - {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, - {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, -] - -[package.dependencies] -MarkupSafe = ">=2.0" - -[package.extras] -i18n = ["Babel (>=2.7)"] - -[[package]] -name = "joblib" -version = "1.5.3" -description = "Lightweight pipelining with Python functions" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, - {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, -] - -[[package]] -name = "json5" -version = "0.13.0" -description = "A Python implementation of the JSON5 data format." -optional = false -python-versions = ">=3.8.0" -groups = ["dev"] -files = [ - {file = "json5-0.13.0-py3-none-any.whl", hash = "sha256:9a08e1dd65f6a4d4c6fa82d216cf2477349ec2346a38fd70cc11d2557499fbcc"}, - {file = "json5-0.13.0.tar.gz", hash = "sha256:b1edf8d487721c0bf64d83c28e91280781f6e21f4a797d3261c7c828d4c165bf"}, -] - -[[package]] -name = "jsonpointer" -version = "3.0.0" -description = "Identify specific nodes in a JSON document (RFC 6901)" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, - {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, -] - -[[package]] -name = "jsonschema" -version = "4.26.0" -description = "An implementation of JSON Schema validation for Python" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"}, - {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"}, -] - -[package.dependencies] -attrs = ">=22.2.0" -fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} -jsonschema-specifications = ">=2023.3.6" -referencing = ">=0.28.4" -rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} -rfc3987-syntax = {version = ">=1.1.0", optional = true, markers = "extra == \"format-nongpl\""} -rpds-py = ">=0.25.0" -uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} -webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""} - -[package.extras] -format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] -format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"] - -[[package]] -name = "jsonschema-specifications" -version = "2025.9.1" -description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"}, - {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"}, -] - -[package.dependencies] -referencing = ">=0.31.0" - -[[package]] -name = "jupyter-client" -version = "8.8.0" -description = "Jupyter protocol implementation and client libraries" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a"}, - {file = "jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e"}, -] - -[package.dependencies] -jupyter-core = ">=5.1" -python-dateutil = ">=2.8.2" -pyzmq = ">=25.0" -tornado = ">=6.4.1" -traitlets = ">=5.3" - -[package.extras] -docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -orjson = ["orjson"] -test = ["anyio", "coverage", "ipykernel (>=6.14)", "msgpack", "mypy ; platform_python_implementation != \"PyPy\"", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.6.2)", "pytest-timeout"] - -[[package]] -name = "jupyter-core" -version = "5.9.1" -description = "Jupyter core package. A base package on which Jupyter projects rely." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407"}, - {file = "jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508"}, -] - -[package.dependencies] -platformdirs = ">=2.5" -traitlets = ">=5.3" - -[package.extras] -docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"] -test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"] - -[[package]] -name = "jupyter-events" -version = "0.12.0" -description = "Jupyter Event System library" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb"}, - {file = "jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b"}, -] - -[package.dependencies] -jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]} -packaging = "*" -python-json-logger = ">=2.0.4" -pyyaml = ">=5.3" -referencing = "*" -rfc3339-validator = "*" -rfc3986-validator = ">=0.1.1" -traitlets = ">=5.3" - -[package.extras] -cli = ["click", "rich"] -docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"] -test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"] - -[[package]] -name = "jupyter-lsp" -version = "2.3.0" -description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f"}, - {file = "jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245"}, -] - -[package.dependencies] -jupyter_server = ">=1.1.2" - -[[package]] -name = "jupyter-server" -version = "2.17.0" -description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f"}, - {file = "jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5"}, -] - -[package.dependencies] -anyio = ">=3.1.0" -argon2-cffi = ">=21.1" -jinja2 = ">=3.0.3" -jupyter-client = ">=7.4.4" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -jupyter-events = ">=0.11.0" -jupyter-server-terminals = ">=0.4.4" -nbconvert = ">=6.4.4" -nbformat = ">=5.3.0" -overrides = {version = ">=5.0", markers = "python_version < \"3.12\""} -packaging = ">=22.0" -prometheus-client = ">=0.9" -pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""} -pyzmq = ">=24" -send2trash = ">=1.8.2" -terminado = ">=0.8.3" -tornado = ">=6.2.0" -traitlets = ">=5.6.0" -websocket-client = ">=1.7" - -[package.extras] -docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] -test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"] - -[[package]] -name = "jupyter-server-terminals" -version = "0.5.4" -description = "A Jupyter Server Extension Providing Terminals." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "jupyter_server_terminals-0.5.4-py3-none-any.whl", hash = "sha256:55be353fc74a80bc7f3b20e6be50a55a61cd525626f578dcb66a5708e2007d14"}, - {file = "jupyter_server_terminals-0.5.4.tar.gz", hash = "sha256:bbda128ed41d0be9020349f9f1f2a4ab9952a73ed5f5ac9f1419794761fb87f5"}, -] - -[package.dependencies] -pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} -terminado = ">=0.8.3" - -[package.extras] -docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] -test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] - -[[package]] -name = "jupyterlab" -version = "4.5.3" -description = "JupyterLab computational environment" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "jupyterlab-4.5.3-py3-none-any.whl", hash = "sha256:63c9f3a48de72ba00df766ad6eed416394f5bb883829f11eeff0872302520ba7"}, - {file = "jupyterlab-4.5.3.tar.gz", hash = "sha256:4a159f71067cb38e4a82e86a42de8e7e926f384d7f2291964f282282096d27e8"}, -] - -[package.dependencies] -async-lru = ">=1.0.0" -httpx = ">=0.25.0,<1" -ipykernel = ">=6.5.0,<6.30.0 || >6.30.0" -jinja2 = ">=3.0.3" -jupyter-core = "*" -jupyter-lsp = ">=2.0.0" -jupyter-server = ">=2.4.0,<3" -jupyterlab-server = ">=2.28.0,<3" -notebook-shim = ">=0.2" -packaging = "*" -setuptools = ">=41.1.0" -tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""} -tornado = ">=6.2.0" -traitlets = "*" - -[package.extras] -dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.11.12)"] -docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.2.0)", "sphinx-copybutton"] -docs-screenshots = ["altair (==6.0.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.3.post1)", "matplotlib (==3.10.0)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.15.1)"] -test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] -upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] - -[[package]] -name = "jupyterlab-pygments" -version = "0.3.0" -description = "Pygments theme using JupyterLab CSS variables" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, - {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, -] - -[[package]] -name = "jupyterlab-server" -version = "2.28.0" -description = "A set of server components for JupyterLab and JupyterLab like applications." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968"}, - {file = "jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c"}, -] - -[package.dependencies] -babel = ">=2.10" -jinja2 = ">=3.0.3" -json5 = ">=0.9.0" -jsonschema = ">=4.18.0" -jupyter-server = ">=1.21,<3" -packaging = ">=21.3" -requests = ">=2.31" - -[package.extras] -docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"] -openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"] -test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] - -[[package]] -name = "jupyterlab-widgets" -version = "3.0.16" -description = "Jupyter interactive widgets for JupyterLab" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8"}, - {file = "jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0"}, -] - -[[package]] -name = "kiwisolver" -version = "1.4.9" -description = "A fast implementation of the Cassowary constraint solver" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"}, - {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"}, - {file = "kiwisolver-1.4.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:84fd60810829c27ae375114cd379da1fa65e6918e1da405f356a775d49a62bcf"}, - {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b78efa4c6e804ecdf727e580dbb9cba85624d2e1c6b5cb059c66290063bd99a9"}, - {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d4efec7bcf21671db6a3294ff301d2fc861c31faa3c8740d1a94689234d1b415"}, - {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:90f47e70293fc3688b71271100a1a5453aa9944a81d27ff779c108372cf5567b"}, - {file = "kiwisolver-1.4.9-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fdca1def57a2e88ef339de1737a1449d6dbf5fab184c54a1fca01d541317154"}, - {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9cf554f21be770f5111a1690d42313e140355e687e05cf82cb23d0a721a64a48"}, - {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fc1795ac5cd0510207482c3d1d3ed781143383b8cfd36f5c645f3897ce066220"}, - {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ccd09f20ccdbbd341b21a67ab50a119b64a403b09288c27481575105283c1586"}, - {file = "kiwisolver-1.4.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:540c7c72324d864406a009d72f5d6856f49693db95d1fbb46cf86febef873634"}, - {file = "kiwisolver-1.4.9-cp310-cp310-win_amd64.whl", hash = "sha256:ede8c6d533bc6601a47ad4046080d36b8fc99f81e6f1c17b0ac3c2dc91ac7611"}, - {file = "kiwisolver-1.4.9-cp310-cp310-win_arm64.whl", hash = "sha256:7b4da0d01ac866a57dd61ac258c5607b4cd677f63abaec7b148354d2b2cdd536"}, - {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:eb14a5da6dc7642b0f3a18f13654847cd8b7a2550e2645a5bda677862b03ba16"}, - {file = "kiwisolver-1.4.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:39a219e1c81ae3b103643d2aedb90f1ef22650deb266ff12a19e7773f3e5f089"}, - {file = "kiwisolver-1.4.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2405a7d98604b87f3fc28b1716783534b1b4b8510d8142adca34ee0bc3c87543"}, - {file = "kiwisolver-1.4.9-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dc1ae486f9abcef254b5618dfb4113dd49f94c68e3e027d03cf0143f3f772b61"}, - {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a1f570ce4d62d718dce3f179ee78dac3b545ac16c0c04bb363b7607a949c0d1"}, - {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:cb27e7b78d716c591e88e0a09a2139c6577865d7f2e152488c2cc6257f460872"}, - {file = "kiwisolver-1.4.9-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:15163165efc2f627eb9687ea5f3a28137217d217ac4024893d753f46bce9de26"}, - {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bdee92c56a71d2b24c33a7d4c2856bd6419d017e08caa7802d2963870e315028"}, - {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:412f287c55a6f54b0650bd9b6dce5aceddb95864a1a90c87af16979d37c89771"}, - {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2c93f00dcba2eea70af2be5f11a830a742fe6b579a1d4e00f47760ef13be247a"}, - {file = "kiwisolver-1.4.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f117e1a089d9411663a3207ba874f31be9ac8eaa5b533787024dc07aeb74f464"}, - {file = "kiwisolver-1.4.9-cp311-cp311-win_amd64.whl", hash = "sha256:be6a04e6c79819c9a8c2373317d19a96048e5a3f90bec587787e86a1153883c2"}, - {file = "kiwisolver-1.4.9-cp311-cp311-win_arm64.whl", hash = "sha256:0ae37737256ba2de764ddc12aed4956460277f00c4996d51a197e72f62f5eec7"}, - {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ac5a486ac389dddcc5bef4f365b6ae3ffff2c433324fb38dd35e3fab7c957999"}, - {file = "kiwisolver-1.4.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f2ba92255faa7309d06fe44c3a4a97efe1c8d640c2a79a5ef728b685762a6fd2"}, - {file = "kiwisolver-1.4.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a2899935e724dd1074cb568ce7ac0dce28b2cd6ab539c8e001a8578eb106d14"}, - {file = "kiwisolver-1.4.9-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f6008a4919fdbc0b0097089f67a1eb55d950ed7e90ce2cc3e640abadd2757a04"}, - {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67bb8b474b4181770f926f7b7d2f8c0248cbcb78b660fdd41a47054b28d2a752"}, - {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:2327a4a30d3ee07d2fbe2e7933e8a37c591663b96ce42a00bc67461a87d7df77"}, - {file = "kiwisolver-1.4.9-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a08b491ec91b1d5053ac177afe5290adacf1f0f6307d771ccac5de30592d198"}, - {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d8fc5c867c22b828001b6a38d2eaeb88160bf5783c6cb4a5e440efc981ce286d"}, - {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3b3115b2581ea35bb6d1f24a4c90af37e5d9b49dcff267eeed14c3893c5b86ab"}, - {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858e4c22fb075920b96a291928cb7dea5644e94c0ee4fcd5af7e865655e4ccf2"}, - {file = "kiwisolver-1.4.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ed0fecd28cc62c54b262e3736f8bb2512d8dcfdc2bcf08be5f47f96bf405b145"}, - {file = "kiwisolver-1.4.9-cp312-cp312-win_amd64.whl", hash = "sha256:f68208a520c3d86ea51acf688a3e3002615a7f0238002cccc17affecc86a8a54"}, - {file = "kiwisolver-1.4.9-cp312-cp312-win_arm64.whl", hash = "sha256:2c1a4f57df73965f3f14df20b80ee29e6a7930a57d2d9e8491a25f676e197c60"}, - {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5d0432ccf1c7ab14f9949eec60c5d1f924f17c037e9f8b33352fa05799359b8"}, - {file = "kiwisolver-1.4.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efb3a45b35622bb6c16dbfab491a8f5a391fe0e9d45ef32f4df85658232ca0e2"}, - {file = "kiwisolver-1.4.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1a12cf6398e8a0a001a059747a1cbf24705e18fe413bc22de7b3d15c67cffe3f"}, - {file = "kiwisolver-1.4.9-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b67e6efbf68e077dd71d1a6b37e43e1a99d0bff1a3d51867d45ee8908b931098"}, - {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5656aa670507437af0207645273ccdfee4f14bacd7f7c67a4306d0dcaeaf6eed"}, - {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bfc08add558155345129c7803b3671cf195e6a56e7a12f3dde7c57d9b417f525"}, - {file = "kiwisolver-1.4.9-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:40092754720b174e6ccf9e845d0d8c7d8e12c3d71e7fc35f55f3813e96376f78"}, - {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:497d05f29a1300d14e02e6441cf0f5ee81c1ff5a304b0d9fb77423974684e08b"}, - {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdd1a81a1860476eb41ac4bc1e07b3f07259e6d55bbf739b79c8aaedcf512799"}, - {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:e6b93f13371d341afee3be9f7c5964e3fe61d5fa30f6a30eb49856935dfe4fc3"}, - {file = "kiwisolver-1.4.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d75aa530ccfaa593da12834b86a0724f58bff12706659baa9227c2ccaa06264c"}, - {file = "kiwisolver-1.4.9-cp313-cp313-win_amd64.whl", hash = "sha256:dd0a578400839256df88c16abddf9ba14813ec5f21362e1fe65022e00c883d4d"}, - {file = "kiwisolver-1.4.9-cp313-cp313-win_arm64.whl", hash = "sha256:d4188e73af84ca82468f09cadc5ac4db578109e52acb4518d8154698d3a87ca2"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:5a0f2724dfd4e3b3ac5a82436a8e6fd16baa7d507117e4279b660fe8ca38a3a1"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:1b11d6a633e4ed84fc0ddafd4ebfd8ea49b3f25082c04ad12b8315c11d504dc1"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:61874cdb0a36016354853593cffc38e56fc9ca5aa97d2c05d3dcf6922cd55a11"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:60c439763a969a6af93b4881db0eed8fadf93ee98e18cbc35bc8da868d0c4f0c"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92a2f997387a1b79a75e7803aa7ded2cfbe2823852ccf1ba3bcf613b62ae3197"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a31d512c812daea6d8b3be3b2bfcbeb091dbb09177706569bcfc6240dcf8b41c"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:52a15b0f35dad39862d376df10c5230155243a2c1a436e39eb55623ccbd68185"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a30fd6fdef1430fd9e1ba7b3398b5ee4e2887783917a687d86ba69985fb08748"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:cc9617b46837c6468197b5945e196ee9ca43057bb7d9d1ae688101e4e1dddf64"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:0ab74e19f6a2b027ea4f845a78827969af45ce790e6cb3e1ebab71bdf9f215ff"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dba5ee5d3981160c28d5490f0d1b7ed730c22470ff7f6cc26cfcfaacb9896a07"}, - {file = "kiwisolver-1.4.9-cp313-cp313t-win_arm64.whl", hash = "sha256:0749fd8f4218ad2e851e11cc4dc05c7cbc0cbc4267bdfdb31782e65aace4ee9c"}, - {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_universal2.whl", hash = "sha256:9928fe1eb816d11ae170885a74d074f57af3a0d65777ca47e9aeb854a1fba386"}, - {file = "kiwisolver-1.4.9-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:d0005b053977e7b43388ddec89fa567f43d4f6d5c2c0affe57de5ebf290dc552"}, - {file = "kiwisolver-1.4.9-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:2635d352d67458b66fd0667c14cb1d4145e9560d503219034a18a87e971ce4f3"}, - {file = "kiwisolver-1.4.9-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:767c23ad1c58c9e827b649a9ab7809fd5fd9db266a9cf02b0e926ddc2c680d58"}, - {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72d0eb9fba308b8311685c2268cf7d0a0639a6cd027d8128659f72bdd8a024b4"}, - {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f68e4f3eeca8fb22cc3d731f9715a13b652795ef657a13df1ad0c7dc0e9731df"}, - {file = "kiwisolver-1.4.9-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d84cd4061ae292d8ac367b2c3fa3aad11cb8625a95d135fe93f286f914f3f5a6"}, - {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:a60ea74330b91bd22a29638940d115df9dc00af5035a9a2a6ad9399ffb4ceca5"}, - {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:ce6a3a4e106cf35c2d9c4fa17c05ce0b180db622736845d4315519397a77beaf"}, - {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:77937e5e2a38a7b48eef0585114fe7930346993a88060d0bf886086d2aa49ef5"}, - {file = "kiwisolver-1.4.9-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:24c175051354f4a28c5d6a31c93906dc653e2bf234e8a4bbfb964892078898ce"}, - {file = "kiwisolver-1.4.9-cp314-cp314-win_amd64.whl", hash = "sha256:0763515d4df10edf6d06a3c19734e2566368980d21ebec439f33f9eb936c07b7"}, - {file = "kiwisolver-1.4.9-cp314-cp314-win_arm64.whl", hash = "sha256:0e4e2bf29574a6a7b7f6cb5fa69293b9f96c928949ac4a53ba3f525dffb87f9c"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:d976bbb382b202f71c67f77b0ac11244021cfa3f7dfd9e562eefcea2df711548"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2489e4e5d7ef9a1c300a5e0196e43d9c739f066ef23270607d45aba368b91f2d"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e2ea9f7ab7fbf18fffb1b5434ce7c69a07582f7acc7717720f1d69f3e806f90c"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b34e51affded8faee0dfdb705416153819d8ea9250bbbf7ea1b249bdeb5f1122"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8aacd3d4b33b772542b2e01beb50187536967b514b00003bdda7589722d2a64"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7cf974dd4e35fa315563ac99d6287a1024e4dc2077b8a7d7cd3d2fb65d283134"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:85bd218b5ecfbee8c8a82e121802dcb519a86044c9c3b2e4aef02fa05c6da370"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:0856e241c2d3df4efef7c04a1e46b1936b6120c9bcf36dd216e3acd84bc4fb21"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:9af39d6551f97d31a4deebeac6f45b156f9755ddc59c07b402c148f5dbb6482a"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:bb4ae2b57fc1d8cbd1cf7b1d9913803681ffa903e7488012be5b76dedf49297f"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:aedff62918805fb62d43a4aa2ecd4482c380dc76cd31bd7c8878588a61bd0369"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-win_amd64.whl", hash = "sha256:1fa333e8b2ce4d9660f2cda9c0e1b6bafcfb2457a9d259faa82289e73ec24891"}, - {file = "kiwisolver-1.4.9-cp314-cp314t-win_arm64.whl", hash = "sha256:4a48a2ce79d65d363597ef7b567ce3d14d68783d2b2263d98db3d9477805ba32"}, - {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:4d1d9e582ad4d63062d34077a9a1e9f3c34088a2ec5135b1f7190c07cf366527"}, - {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:deed0c7258ceb4c44ad5ec7d9918f9f14fd05b2be86378d86cf50e63d1e7b771"}, - {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a590506f303f512dff6b7f75fd2fd18e16943efee932008fe7140e5fa91d80e"}, - {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e09c2279a4d01f099f52d5c4b3d9e208e91edcbd1a175c9662a8b16e000fece9"}, - {file = "kiwisolver-1.4.9-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:c9e7cdf45d594ee04d5be1b24dd9d49f3d1590959b2271fb30b5ca2b262c00fb"}, - {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:720e05574713db64c356e86732c0f3c5252818d05f9df320f0ad8380641acea5"}, - {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:17680d737d5335b552994a2008fab4c851bcd7de33094a82067ef3a576ff02fa"}, - {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85b5352f94e490c028926ea567fc569c52ec79ce131dadb968d3853e809518c2"}, - {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:464415881e4801295659462c49461a24fb107c140de781d55518c4b80cb6790f"}, - {file = "kiwisolver-1.4.9-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:fb940820c63a9590d31d88b815e7a3aa5915cad3ce735ab45f0c730b39547de1"}, - {file = "kiwisolver-1.4.9.tar.gz", hash = "sha256:c3b22c26c6fd6811b0ae8363b95ca8ce4ea3c202d3d0975b2914310ceb1bcc4d"}, -] - -[[package]] -name = "lark" -version = "1.3.1" -description = "a modern parsing library" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12"}, - {file = "lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905"}, -] - -[package.extras] -atomic-cache = ["atomicwrites"] -interegular = ["interegular (>=0.3.1,<0.4.0)"] -nearley = ["js2py"] -regex = ["regex"] - -[[package]] -name = "lazy-loader" -version = "0.4" -description = "Makes it easy to load subpackages and functions on demand." -optional = false -python-versions = ">=3.7" -groups = ["main"] -files = [ - {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"}, - {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"}, -] - -[package.dependencies] -packaging = "*" - -[package.extras] -dev = ["changelist (==0.5)"] -lint = ["pre-commit (==3.7.0)"] -test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"] - -[[package]] -name = "linkify-it-py" -version = "2.0.3" -description = "Links recognition library with FULL unicode support." -optional = false -python-versions = ">=3.7" -groups = ["shiny"] -files = [ - {file = "linkify-it-py-2.0.3.tar.gz", hash = "sha256:68cda27e162e9215c17d786649d1da0021a451bdc436ef9e0fa0ba5234b9b048"}, - {file = "linkify_it_py-2.0.3-py3-none-any.whl", hash = "sha256:6bcbc417b0ac14323382aef5c5192c0075bf8a9d6b41820a2b66371eac6b6d79"}, -] - -[package.dependencies] -uc-micro-py = "*" - -[package.extras] -benchmark = ["pytest", "pytest-benchmark"] -dev = ["black", "flake8", "isort", "pre-commit", "pyproject-flake8"] -doc = ["myst-parser", "sphinx", "sphinx-book-theme"] -test = ["coverage", "pytest", "pytest-cov"] - -[[package]] -name = "livereload" -version = "2.7.1" -description = "Python LiveReload is an awesome tool for web developers" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "livereload-2.7.1-py3-none-any.whl", hash = "sha256:5201740078c1b9433f4b2ba22cd2729a39b9d0ec0a2cc6b4d3df257df5ad0564"}, - {file = "livereload-2.7.1.tar.gz", hash = "sha256:3d9bf7c05673df06e32bea23b494b8d36ca6d10f7d5c3c8a6989608c09c986a9"}, -] - -[package.dependencies] -tornado = "*" - -[[package]] -name = "llvmlite" -version = "0.46.0" -description = "lightweight wrapper around basic LLVM functionality" -optional = false -python-versions = ">=3.10" -groups = ["optim-numba"] -files = [ - {file = "llvmlite-0.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4323177e936d61ae0f73e653e2e614284d97d14d5dd12579adc92b6c2b0597b0"}, - {file = "llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a2d461cb89537b7c20feb04c46c32e12d5ad4f0896c9dfc0f60336219ff248e"}, - {file = "llvmlite-0.46.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b1f6595a35b7b39c3518b85a28bf18f45e075264e4b2dce3f0c2a4f232b4a910"}, - {file = "llvmlite-0.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:e7a34d4aa6f9a97ee006b504be6d2b8cb7f755b80ab2f344dda1ef992f828559"}, - {file = "llvmlite-0.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82f3d39b16f19aa1a56d5fe625883a6ab600d5cc9ea8906cca70ce94cabba067"}, - {file = "llvmlite-0.46.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3df43900119803bbc52720e758c76f316a9a0f34612a886862dfe0a5591a17e"}, - {file = "llvmlite-0.46.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de183fefc8022d21b0aa37fc3e90410bc3524aed8617f0ff76732fc6c3af5361"}, - {file = "llvmlite-0.46.0-cp311-cp311-win_amd64.whl", hash = "sha256:e8b10bc585c58bdffec9e0c309bb7d51be1f2f15e169a4b4d42f2389e431eb93"}, - {file = "llvmlite-0.46.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6b9588ad4c63b4f0175a3984b85494f0c927c6b001e3a246a3a7fb3920d9a137"}, - {file = "llvmlite-0.46.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3535bd2bb6a2d7ae4012681ac228e5132cdb75fefb1bcb24e33f2f3e0c865ed4"}, - {file = "llvmlite-0.46.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cbfd366e60ff87ea6cc62f50bc4cd800ebb13ed4c149466f50cf2163a473d1e"}, - {file = "llvmlite-0.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:398b39db462c39563a97b912d4f2866cd37cba60537975a09679b28fbbc0fb38"}, - {file = "llvmlite-0.46.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:30b60892d034bc560e0ec6654737aaa74e5ca327bd8114d82136aa071d611172"}, - {file = "llvmlite-0.46.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6cc19b051753368a9c9f31dc041299059ee91aceec81bd57b0e385e5d5bf1a54"}, - {file = "llvmlite-0.46.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bca185892908f9ede48c0acd547fe4dc1bafefb8a4967d47db6cf664f9332d12"}, - {file = "llvmlite-0.46.0-cp313-cp313-win_amd64.whl", hash = "sha256:67438fd30e12349ebb054d86a5a1a57fd5e87d264d2451bcfafbbbaa25b82a35"}, - {file = "llvmlite-0.46.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:d252edfb9f4ac1fcf20652258e3f102b26b03eef738dc8a6ffdab7d7d341d547"}, - {file = "llvmlite-0.46.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:379fdd1c59badeff8982cb47e4694a6143bec3bb49aa10a466e095410522064d"}, - {file = "llvmlite-0.46.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e8cbfff7f6db0fa2c771ad24154e2a7e457c2444d7673e6de06b8b698c3b269"}, - {file = "llvmlite-0.46.0-cp314-cp314-win_amd64.whl", hash = "sha256:7821eda3ec1f18050f981819756631d60b6d7ab1a6cf806d9efefbe3f4082d61"}, - {file = "llvmlite-0.46.0.tar.gz", hash = "sha256:227c9fd6d09dce2783c18b754b7cd9d9b3b3515210c46acc2d3c5badd9870ceb"}, -] - -[[package]] -name = "markdown" -version = "3.10.1" -description = "Python implementation of John Gruber's Markdown." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "markdown-3.10.1-py3-none-any.whl", hash = "sha256:867d788939fe33e4b736426f5b9f651ad0c0ae0ecf89df0ca5d1176c70812fe3"}, - {file = "markdown-3.10.1.tar.gz", hash = "sha256:1c19c10bd5c14ac948c53d0d762a04e2fa35a6d58a6b7b1e6bfcbe6fefc0001a"}, -] - -[package.extras] -docs = ["mdx_gh_links (>=0.2)", "mkdocs (>=1.6)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python] (>=0.28.3)"] -testing = ["coverage", "pyyaml"] - -[[package]] -name = "markdown-it-py" -version = "4.0.0" -description = "Python port of markdown-it. Markdown parsing, done right!" -optional = false -python-versions = ">=3.10" -groups = ["main", "shiny"] -files = [ - {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, - {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, -] - -[package.dependencies] -mdurl = ">=0.1,<1.0" - -[package.extras] -benchmarking = ["psutil", "pytest", "pytest-benchmark"] -compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"] -linkify = ["linkify-it-py (>=1,<3)"] -plugins = ["mdit-py-plugins (>=0.5.0)"] -profiling = ["gprof2dot"] -rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"] -testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"] - -[[package]] -name = "markupsafe" -version = "3.0.3" -description = "Safely add untrusted strings to HTML/XML markup." -optional = false -python-versions = ">=3.9" -groups = ["main", "dev", "optim-torch"] -files = [ - {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, - {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, - {file = "markupsafe-3.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695"}, - {file = "markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591"}, - {file = "markupsafe-3.0.3-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c"}, - {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f"}, - {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6"}, - {file = "markupsafe-3.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1"}, - {file = "markupsafe-3.0.3-cp310-cp310-win32.whl", hash = "sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa"}, - {file = "markupsafe-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8"}, - {file = "markupsafe-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1"}, - {file = "markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad"}, - {file = "markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a"}, - {file = "markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50"}, - {file = "markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf"}, - {file = "markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f"}, - {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a"}, - {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115"}, - {file = "markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a"}, - {file = "markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19"}, - {file = "markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01"}, - {file = "markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c"}, - {file = "markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e"}, - {file = "markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce"}, - {file = "markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d"}, - {file = "markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d"}, - {file = "markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a"}, - {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b"}, - {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f"}, - {file = "markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b"}, - {file = "markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d"}, - {file = "markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c"}, - {file = "markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f"}, - {file = "markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795"}, - {file = "markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219"}, - {file = "markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6"}, - {file = "markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676"}, - {file = "markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9"}, - {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1"}, - {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc"}, - {file = "markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12"}, - {file = "markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed"}, - {file = "markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5"}, - {file = "markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485"}, - {file = "markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73"}, - {file = "markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37"}, - {file = "markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19"}, - {file = "markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025"}, - {file = "markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6"}, - {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f"}, - {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb"}, - {file = "markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009"}, - {file = "markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354"}, - {file = "markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218"}, - {file = "markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287"}, - {file = "markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe"}, - {file = "markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026"}, - {file = "markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737"}, - {file = "markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97"}, - {file = "markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d"}, - {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda"}, - {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf"}, - {file = "markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe"}, - {file = "markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9"}, - {file = "markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581"}, - {file = "markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4"}, - {file = "markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab"}, - {file = "markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175"}, - {file = "markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634"}, - {file = "markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50"}, - {file = "markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e"}, - {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5"}, - {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523"}, - {file = "markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc"}, - {file = "markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d"}, - {file = "markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9"}, - {file = "markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa"}, - {file = "markupsafe-3.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15d939a21d546304880945ca1ecb8a039db6b4dc49b2c5a400387cdae6a62e26"}, - {file = "markupsafe-3.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f71a396b3bf33ecaa1626c255855702aca4d3d9fea5e051b41ac59a9c1c41edc"}, - {file = "markupsafe-3.0.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f4b68347f8c5eab4a13419215bdfd7f8c9b19f2b25520968adfad23eb0ce60c"}, - {file = "markupsafe-3.0.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8fc20152abba6b83724d7ff268c249fa196d8259ff481f3b1476383f8f24e42"}, - {file = "markupsafe-3.0.3-cp39-cp39-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:949b8d66bc381ee8b007cd945914c721d9aba8e27f71959d750a46f7c282b20b"}, - {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:3537e01efc9d4dccdf77221fb1cb3b8e1a38d5428920e0657ce299b20324d758"}, - {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_riscv64.whl", hash = "sha256:591ae9f2a647529ca990bc681daebdd52c8791ff06c2bfa05b65163e28102ef2"}, - {file = "markupsafe-3.0.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a320721ab5a1aba0a233739394eb907f8c8da5c98c9181d1161e77a0c8e36f2d"}, - {file = "markupsafe-3.0.3-cp39-cp39-win32.whl", hash = "sha256:df2449253ef108a379b8b5d6b43f4b1a8e81a061d6537becd5582fba5f9196d7"}, - {file = "markupsafe-3.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:7c3fb7d25180895632e5d3148dbdc29ea38ccb7fd210aa27acbd1201a1902c6e"}, - {file = "markupsafe-3.0.3-cp39-cp39-win_arm64.whl", hash = "sha256:38664109c14ffc9e7437e86b4dceb442b0096dfe3541d7864d9cbe1da4cf36c8"}, - {file = "markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698"}, -] - -[[package]] -name = "matplotlib" -version = "3.10.8" -description = "Python plotting package" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"}, - {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"}, - {file = "matplotlib-3.10.8-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee40c27c795bda6a5292e9cff9890189d32f7e3a0bf04e0e3c9430c4a00c37df"}, - {file = "matplotlib-3.10.8-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a48f2b74020919552ea25d222d5cc6af9ca3f4eb43a93e14d068457f545c2a17"}, - {file = "matplotlib-3.10.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f254d118d14a7f99d616271d6c3c27922c092dac11112670b157798b89bf4933"}, - {file = "matplotlib-3.10.8-cp310-cp310-win_amd64.whl", hash = "sha256:f9b587c9c7274c1613a30afabf65a272114cd6cdbe67b3406f818c79d7ab2e2a"}, - {file = "matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160"}, - {file = "matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78"}, - {file = "matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4"}, - {file = "matplotlib-3.10.8-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d56a1efd5bfd61486c8bc968fa18734464556f0fb8e51690f4ac25d85cbbbbc2"}, - {file = "matplotlib-3.10.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:238b7ce5717600615c895050239ec955d91f321c209dd110db988500558e70d6"}, - {file = "matplotlib-3.10.8-cp311-cp311-win_amd64.whl", hash = "sha256:18821ace09c763ec93aef5eeff087ee493a24051936d7b9ebcad9662f66501f9"}, - {file = "matplotlib-3.10.8-cp311-cp311-win_arm64.whl", hash = "sha256:bab485bcf8b1c7d2060b4fcb6fc368a9e6f4cd754c9c2fea281f4be21df394a2"}, - {file = "matplotlib-3.10.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:64fcc24778ca0404ce0cb7b6b77ae1f4c7231cdd60e6778f999ee05cbd581b9a"}, - {file = "matplotlib-3.10.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9a5ca4ac220a0cdd1ba6bcba3608547117d30468fefce49bb26f55c1a3d5c58"}, - {file = "matplotlib-3.10.8-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ab4aabc72de4ff77b3ec33a6d78a68227bf1123465887f9905ba79184a1cc04"}, - {file = "matplotlib-3.10.8-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24d50994d8c5816ddc35411e50a86ab05f575e2530c02752e02538122613371f"}, - {file = "matplotlib-3.10.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:99eefd13c0dc3b3c1b4d561c1169e65fe47aab7b8158754d7c084088e2329466"}, - {file = "matplotlib-3.10.8-cp312-cp312-win_amd64.whl", hash = "sha256:dd80ecb295460a5d9d260df63c43f4afbdd832d725a531f008dad1664f458adf"}, - {file = "matplotlib-3.10.8-cp312-cp312-win_arm64.whl", hash = "sha256:3c624e43ed56313651bc18a47f838b60d7b8032ed348911c54906b130b20071b"}, - {file = "matplotlib-3.10.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3f2e409836d7f5ac2f1c013110a4d50b9f7edc26328c108915f9075d7d7a91b6"}, - {file = "matplotlib-3.10.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56271f3dac49a88d7fca5060f004d9d22b865f743a12a23b1e937a0be4818ee1"}, - {file = "matplotlib-3.10.8-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a0a7f52498f72f13d4a25ea70f35f4cb60642b466cbb0a9be951b5bc3f45a486"}, - {file = "matplotlib-3.10.8-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:646d95230efb9ca614a7a594d4fcacde0ac61d25e37dd51710b36477594963ce"}, - {file = "matplotlib-3.10.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f89c151aab2e2e23cb3fe0acad1e8b82841fd265379c4cecd0f3fcb34c15e0f6"}, - {file = "matplotlib-3.10.8-cp313-cp313-win_amd64.whl", hash = "sha256:e8ea3e2d4066083e264e75c829078f9e149fa119d27e19acd503de65e0b13149"}, - {file = "matplotlib-3.10.8-cp313-cp313-win_arm64.whl", hash = "sha256:c108a1d6fa78a50646029cb6d49808ff0fc1330fda87fa6f6250c6b5369b6645"}, - {file = "matplotlib-3.10.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ad3d9833a64cf48cc4300f2b406c3d0f4f4724a91c0bd5640678a6ba7c102077"}, - {file = "matplotlib-3.10.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:eb3823f11823deade26ce3b9f40dcb4a213da7a670013929f31d5f5ed1055b22"}, - {file = "matplotlib-3.10.8-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d9050fee89a89ed57b4fb2c1bfac9a3d0c57a0d55aed95949eedbc42070fea39"}, - {file = "matplotlib-3.10.8-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b44d07310e404ba95f8c25aa5536f154c0a8ec473303535949e52eb71d0a1565"}, - {file = "matplotlib-3.10.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:0a33deb84c15ede243aead39f77e990469fff93ad1521163305095b77b72ce4a"}, - {file = "matplotlib-3.10.8-cp313-cp313t-win_amd64.whl", hash = "sha256:3a48a78d2786784cc2413e57397981fb45c79e968d99656706018d6e62e57958"}, - {file = "matplotlib-3.10.8-cp313-cp313t-win_arm64.whl", hash = "sha256:15d30132718972c2c074cd14638c7f4592bd98719e2308bccea40e0538bc0cb5"}, - {file = "matplotlib-3.10.8-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:b53285e65d4fa4c86399979e956235deb900be5baa7fc1218ea67fbfaeaadd6f"}, - {file = "matplotlib-3.10.8-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:32f8dce744be5569bebe789e46727946041199030db8aeb2954d26013a0eb26b"}, - {file = "matplotlib-3.10.8-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cf267add95b1c88300d96ca837833d4112756045364f5c734a2276038dae27d"}, - {file = "matplotlib-3.10.8-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2cf5bd12cecf46908f286d7838b2abc6c91cda506c0445b8223a7c19a00df008"}, - {file = "matplotlib-3.10.8-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:41703cc95688f2516b480f7f339d8851a6035f18e100ee6a32bc0b8536a12a9c"}, - {file = "matplotlib-3.10.8-cp314-cp314-win_amd64.whl", hash = "sha256:83d282364ea9f3e52363da262ce32a09dfe241e4080dcedda3c0db059d3c1f11"}, - {file = "matplotlib-3.10.8-cp314-cp314-win_arm64.whl", hash = "sha256:2c1998e92cd5999e295a731bcb2911c75f597d937341f3030cc24ef2733d78a8"}, - {file = "matplotlib-3.10.8-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b5a2b97dbdc7d4f353ebf343744f1d1f1cca8aa8bfddb4262fcf4306c3761d50"}, - {file = "matplotlib-3.10.8-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3f5c3e4da343bba819f0234186b9004faba952cc420fbc522dc4e103c1985908"}, - {file = "matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f62550b9a30afde8c1c3ae450e5eb547d579dd69b25c2fc7a1c67f934c1717a"}, - {file = "matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:495672de149445ec1b772ff2c9ede9b769e3cb4f0d0aa7fa730d7f59e2d4e1c1"}, - {file = "matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c"}, - {file = "matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b"}, - {file = "matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f"}, - {file = "matplotlib-3.10.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f97aeb209c3d2511443f8797e3e5a569aebb040d4f8bc79aa3ee78a8fb9e3dd8"}, - {file = "matplotlib-3.10.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fb061f596dad3a0f52b60dc6a5dec4a0c300dec41e058a7efe09256188d170b7"}, - {file = "matplotlib-3.10.8-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:12d90df9183093fcd479f4172ac26b322b1248b15729cb57f42f71f24c7e37a3"}, - {file = "matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1"}, - {file = "matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a"}, - {file = "matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2"}, - {file = "matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3"}, -] - -[package.dependencies] -contourpy = ">=1.0.1" -cycler = ">=0.10" -fonttools = ">=4.22.0" -kiwisolver = ">=1.3.1" -numpy = ">=1.23" -packaging = ">=20.0" -pillow = ">=8" -pyparsing = ">=3" -python-dateutil = ">=2.7" - -[package.extras] -dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"] - -[[package]] -name = "matplotlib-inline" -version = "0.2.1" -description = "Inline Matplotlib backend for Jupyter" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76"}, - {file = "matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe"}, -] - -[package.dependencies] -traitlets = "*" - -[package.extras] -test = ["flake8", "nbdime", "nbval", "notebook", "pytest"] - -[[package]] -name = "mccabe" -version = "0.7.0" -description = "McCabe checker, plugin for flake8" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -files = [ - {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, - {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, -] - -[[package]] -name = "mdit-py-plugins" -version = "0.5.0" -description = "Collection of plugins for markdown-it-py" -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -files = [ - {file = "mdit_py_plugins-0.5.0-py3-none-any.whl", hash = "sha256:07a08422fc1936a5d26d146759e9155ea466e842f5ab2f7d2266dd084c8dab1f"}, - {file = "mdit_py_plugins-0.5.0.tar.gz", hash = "sha256:f4918cb50119f50446560513a8e311d574ff6aaed72606ddae6d35716fe809c6"}, -] - -[package.dependencies] -markdown-it-py = ">=2.0.0,<5.0.0" - -[package.extras] -code-style = ["pre-commit"] -rtd = ["myst-parser", "sphinx-book-theme"] -testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] - -[[package]] -name = "mdurl" -version = "0.1.2" -description = "Markdown URL utilities" -optional = false -python-versions = ">=3.7" -groups = ["main", "shiny"] -files = [ - {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, - {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, -] - -[[package]] -name = "mergedeep" -version = "1.3.4" -description = "A deep merge function for 🐍." -optional = false -python-versions = ">=3.6" -groups = ["dev"] -files = [ - {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"}, - {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, -] - -[[package]] -name = "meshio" -version = "5.3.5" -description = "I/O for many mesh formats" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "meshio-5.3.5-py3-none-any.whl", hash = "sha256:0736c6e34ecc768f62f2cde5d8233a3529512a9399b25c68ea2ca0d5900cdc10"}, - {file = "meshio-5.3.5.tar.gz", hash = "sha256:f21f01abd9f29ba06ea119304b3d39e610421cfe93b9dd23362834919f87586d"}, -] - -[package.dependencies] -numpy = ">=1.20.0" -rich = "*" - -[package.extras] -all = ["h5py", "netCDF4"] - -[[package]] -name = "mistune" -version = "3.2.0" -description = "A sane and fast Markdown parser with useful plugins and renderers" -optional = false -python-versions = ">=3.8" -groups = ["main", "dev"] -files = [ - {file = "mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1"}, - {file = "mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a"}, -] - -[package.dependencies] -typing-extensions = {version = "*", markers = "python_version < \"3.11\""} - -[[package]] -name = "mkdocs" -version = "1.6.1" -description = "Project documentation with Markdown." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e"}, - {file = "mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2"}, -] - -[package.dependencies] -click = ">=7.0" -colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""} -ghp-import = ">=1.0" -jinja2 = ">=2.11.1" -markdown = ">=3.3.6" -markupsafe = ">=2.0.1" -mergedeep = ">=1.3.4" -mkdocs-get-deps = ">=0.2.0" -packaging = ">=20.5" -pathspec = ">=0.11.1" -pyyaml = ">=5.1" -pyyaml-env-tag = ">=0.1" -watchdog = ">=2.0" - -[package.extras] -i18n = ["babel (>=2.9.0)"] -min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform_system == \"Windows\"", "ghp-import (==1.0)", "importlib-metadata (==4.4) ; python_version < \"3.10\"", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"] - -[[package]] -name = "mkdocs-autorefs" -version = "1.4.3" -description = "Automatically link across pages in MkDocs." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "mkdocs_autorefs-1.4.3-py3-none-any.whl", hash = "sha256:469d85eb3114801d08e9cc55d102b3ba65917a869b893403b8987b601cf55dc9"}, - {file = "mkdocs_autorefs-1.4.3.tar.gz", hash = "sha256:beee715b254455c4aa93b6ef3c67579c399ca092259cc41b7d9342573ff1fc75"}, -] - -[package.dependencies] -Markdown = ">=3.3" -markupsafe = ">=2.0.1" -mkdocs = ">=1.1" - -[[package]] -name = "mkdocs-get-deps" -version = "0.2.0" -description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"}, - {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"}, -] - -[package.dependencies] -mergedeep = ">=1.3.4" -platformdirs = ">=2.2.0" -pyyaml = ">=5.1" - -[[package]] -name = "mkdocs-include-markdown-plugin" -version = "7.2.1" -description = "Mkdocs Markdown includer plugin." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "mkdocs_include_markdown_plugin-7.2.1-py3-none-any.whl", hash = "sha256:30da634c568ea5d5f9e5881d51f80ac30d8c5f891cec160344ad7a0fdaea6286"}, - {file = "mkdocs_include_markdown_plugin-7.2.1.tar.gz", hash = "sha256:5d94db87b06cd303619dbaebba5f7f43a3ded7fd7709451d26f08c176376ffec"}, -] - -[package.dependencies] -mkdocs = ">=1.4" -wcmatch = "*" - -[package.extras] -cache = ["platformdirs"] - -[[package]] -name = "mkdocs-material" -version = "9.7.1" -description = "Documentation that simply works" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "mkdocs_material-9.7.1-py3-none-any.whl", hash = "sha256:3f6100937d7d731f87f1e3e3b021c97f7239666b9ba1151ab476cabb96c60d5c"}, - {file = "mkdocs_material-9.7.1.tar.gz", hash = "sha256:89601b8f2c3e6c6ee0a918cc3566cb201d40bf37c3cd3c2067e26fadb8cce2b8"}, -] - -[package.dependencies] -babel = ">=2.10" -backrefs = ">=5.7.post1" -colorama = ">=0.4" -jinja2 = ">=3.1" -markdown = ">=3.2" -mkdocs = ">=1.6" -mkdocs-material-extensions = ">=1.3" -paginate = ">=0.5" -pygments = ">=2.16" -pymdown-extensions = ">=10.2" -requests = ">=2.30" - -[package.extras] -git = ["mkdocs-git-committers-plugin-2 (>=1.1,<3)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"] -imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=10.2,<12.0)"] -recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"] - -[[package]] -name = "mkdocs-material-extensions" -version = "1.3.1" -description = "Extension pack for Python Markdown and MkDocs Material." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"}, - {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"}, -] - -[[package]] -name = "mkdocstrings" -version = "1.0.2" -description = "Automatic documentation from sources, for MkDocs." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "mkdocstrings-1.0.2-py3-none-any.whl", hash = "sha256:41897815a8026c3634fe5d51472c3a569f92ded0ad8c7a640550873eea3b6817"}, - {file = "mkdocstrings-1.0.2.tar.gz", hash = "sha256:48edd0ccbcb9e30a3121684e165261a9d6af4d63385fc4f39a54a49ac3b32ea8"}, -] - -[package.dependencies] -Jinja2 = ">=3.1" -Markdown = ">=3.6" -MarkupSafe = ">=1.1" -mkdocs = ">=1.6" -mkdocs-autorefs = ">=1.4" -pymdown-extensions = ">=6.3" - -[package.extras] -crystal = ["mkdocstrings-crystal (>=0.3.4)"] -python = ["mkdocstrings-python (>=1.16.2)"] -python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"] - -[[package]] -name = "mkdocstrings-python" -version = "2.0.1" -description = "A Python handler for mkdocstrings." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "mkdocstrings_python-2.0.1-py3-none-any.whl", hash = "sha256:66ecff45c5f8b71bf174e11d49afc845c2dfc7fc0ab17a86b6b337e0f24d8d90"}, - {file = "mkdocstrings_python-2.0.1.tar.gz", hash = "sha256:843a562221e6a471fefdd4b45cc6c22d2607ccbad632879234fa9692e9cf7732"}, -] - -[package.dependencies] -griffe = ">=1.13" -mkdocs-autorefs = ">=1.4" -mkdocstrings = ">=0.30" -typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} - -[[package]] -name = "mkdocstrings-python-legacy" -version = "0.2.7" -description = "A legacy Python handler for mkdocstrings." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "mkdocstrings_python_legacy-0.2.7-py3-none-any.whl", hash = "sha256:c24a0a5867749fd826dfa190e10afcbd4c415cbcb2f805fc4791472b4bf221e9"}, - {file = "mkdocstrings_python_legacy-0.2.7.tar.gz", hash = "sha256:1aa8a277a332fb0d49be3786de3fa18af7d8792e8d611f6ba8d550dc3a1ff8a1"}, -] - -[package.dependencies] -mkdocs-autorefs = ">=1.1" -mkdocstrings = ">=0.28.3" -pytkdocs = ">=0.14" - -[[package]] -name = "mne" -version = "1.11.0" -description = "MNE-Python project for MEG and EEG data analysis." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "mne-1.11.0-py3-none-any.whl", hash = "sha256:993f25b0c92e563c23cb272c42c6c0298be10f40ed50abe4dd2deeba8d184ac2"}, - {file = "mne-1.11.0.tar.gz", hash = "sha256:0a89b8fc44133b81218a35cdcba74ad0f8ae2e265136249b365b9ce04864c688"}, -] - -[package.dependencies] -decorator = "*" -h5io = {version = ">=0.2.4", optional = true, markers = "extra == \"hdf5\""} -jinja2 = "*" -lazy-loader = ">=0.3" -matplotlib = ">=3.8" -numpy = ">=1.26,<3" -packaging = "*" -pooch = ">=1.5" -pymatreader = {version = "*", optional = true, markers = "extra == \"hdf5\""} -scipy = ">=1.11" -tqdm = "*" - -[package.extras] -full = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyqt6 (!=6.6.0)", "pyqt6-qt6 (!=6.6.0,!=6.7.0)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"] -full-no-qt = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"] -full-pyqt6 = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyqt6 (!=6.6.0)", "pyqt6-qt6 (!=6.6.0,!=6.7.0)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"] -full-pyside6 = ["antio (>=0.5.0)", "curryreader (>=0.1.2)", "darkdetect", "defusedxml", "dipy", "edfio (>=0.4.10)", "eeglabio", "filelock (>=3.18.0)", "h5io (>=0.2.4)", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipython (!=8.7.0)", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.7)", "pandas (>=2.1)", "pillow", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0) ; platform_system == \"Darwin\"", "pyside6 (!=6.7.0,!=6.8.0,!=6.8.0.1,!=6.9.1)", "python-picard", "pyvista (>=0.42.1)", "pyvistaqt (>=0.11)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn (>=1.3)", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk (>=9.2)", "xlrd"] -hdf5 = ["h5io (>=0.2.4)", "pymatreader"] - -[[package]] -name = "mne-connectivity" -version = "0.7.0" -description = "mne-connectivity: A module for connectivity data analysis with MNE." -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "mne_connectivity-0.7.0-py3-none-any.whl", hash = "sha256:879f9041e10d9e1cadcbb02526fd79f2819af5b5d811934a3af2865aae530d07"}, - {file = "mne_connectivity-0.7.0.tar.gz", hash = "sha256:89f9e11d1843395dd67458f027aedee1a70fdfce97241a7d3f2710164d537864"}, -] - -[package.dependencies] -mne = ">=1.6" -netCDF4 = ">=1.6.5" -numpy = ">=1.21" -pandas = ">=1.3.2" -scipy = ">=1.4.0" -tqdm = "*" -xarray = ">=2023.11.0" - -[package.extras] -all = ["mne-connectivity[build]", "mne-connectivity[doc]", "mne-connectivity[gui]", "mne-connectivity[style]", "mne-connectivity[test]"] -build = ["build", "twine"] -doc = ["PyQt6", "memory-profiler", "mne-bids", "mne-connectivity[gui]", "nibabel", "nilearn", "numpydoc", "pooch", "pydata-sphinx-theme (==0.14.1)", "sphinx", "sphinx-autodoc-typehints", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinx-issues", "sphinxcontrib-bibtex"] -full = ["mne-connectivity[all]"] -gui = ["PyQt6", "h5netcdf", "matplotlib", "mne-qt-browser (>=0.6.0)", "pyvista", "pyvistaqt", "qtpy", "sip", "vtk"] -style = ["codespell", "isort", "pre-commit", "pydocstyle", "pydocstyle[toml]", "rstcheck", "ruff", "toml-sort", "yamllint"] -test = ["PyQt6", "joblib", "mne-bids", "mne-connectivity[gui]", "pandas", "pymatreader", "pytest (<8.0.0)", "pytest-cov", "pytest-timeout", "statsmodels"] - -[[package]] -name = "mpmath" -version = "1.3.0" -description = "Python library for arbitrary-precision floating-point arithmetic" -optional = false -python-versions = "*" -groups = ["optim-torch"] -files = [ - {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, - {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, -] - -[package.extras] -develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] -docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] -tests = ["pytest (>=4.6)"] - -[[package]] -name = "mypy-extensions" -version = "1.1.0" -description = "Type system extensions for programs checked with the mypy type checker." -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"}, - {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"}, -] - -[[package]] -name = "narwhals" -version = "2.15.0" -description = "Extremely lightweight compatibility layer between dataframe libraries" -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -files = [ - {file = "narwhals-2.15.0-py3-none-any.whl", hash = "sha256:cbfe21ca19d260d9fd67f995ec75c44592d1f106933b03ddd375df7ac841f9d6"}, - {file = "narwhals-2.15.0.tar.gz", hash = "sha256:a9585975b99d95084268445a1fdd881311fa26ef1caa18020d959d5b2ff9a965"}, -] - -[package.extras] -cudf = ["cudf (>=24.10.0)"] -dask = ["dask[dataframe] (>=2024.8)"] -duckdb = ["duckdb (>=1.1)"] -ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"] -modin = ["modin"] -pandas = ["pandas (>=1.1.3)"] -polars = ["polars (>=0.20.4)"] -pyarrow = ["pyarrow (>=13.0.0)"] -pyspark = ["pyspark (>=3.5.0)"] -pyspark-connect = ["pyspark[connect] (>=3.5.0)"] -sqlframe = ["sqlframe (>=3.22.0,!=3.39.3)"] - -[[package]] -name = "nbclient" -version = "0.10.4" -description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." -optional = false -python-versions = ">=3.10.0" -groups = ["dev"] -files = [ - {file = "nbclient-0.10.4-py3-none-any.whl", hash = "sha256:9162df5a7373d70d606527300a95a975a47c137776cd942e52d9c7e29ff83440"}, - {file = "nbclient-0.10.4.tar.gz", hash = "sha256:1e54091b16e6da39e297b0ece3e10f6f29f4ac4e8ee515d29f8a7099bd6553c9"}, -] - -[package.dependencies] -jupyter-client = ">=6.1.12" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -nbformat = ">=5.1.3" -traitlets = ">=5.4" - -[package.extras] -dev = ["pre-commit"] -docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=9.0.1,<10)", "pytest-asyncio (>=1.3.0)", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"] -test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=9.0.1,<10)", "pytest-asyncio (>=1.3.0)", "pytest-cov (>=4.0)", "testpath", "xmltodict"] - -[[package]] -name = "nbconvert" -version = "7.17.0" -description = "Convert Jupyter Notebooks (.ipynb files) to other formats." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "nbconvert-7.17.0-py3-none-any.whl", hash = "sha256:4f99a63b337b9a23504347afdab24a11faa7d86b405e5c8f9881cd313336d518"}, - {file = "nbconvert-7.17.0.tar.gz", hash = "sha256:1b2696f1b5be12309f6c7d707c24af604b87dfaf6d950794c7b07acab96dda78"}, -] - -[package.dependencies] -beautifulsoup4 = "*" -bleach = {version = "!=5.0.0", extras = ["css"]} -defusedxml = "*" -jinja2 = ">=3.0" -jupyter-core = ">=4.7" -jupyterlab-pygments = "*" -markupsafe = ">=2.0" -mistune = ">=2.0.3,<4" -nbclient = ">=0.5.0" -nbformat = ">=5.7" -packaging = "*" -pandocfilters = ">=1.4.1" -pygments = ">=2.4.1" -traitlets = ">=5.1" - -[package.extras] -all = ["flaky", "intersphinx-registry", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (>=5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"] -docs = ["intersphinx-registry", "ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (>=5.0.2)", "sphinxcontrib-spelling"] -qtpdf = ["pyqtwebengine (>=5.15)"] -qtpng = ["pyqtwebengine (>=5.15)"] -serve = ["tornado (>=6.1)"] -test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"] -webpdf = ["playwright"] - -[[package]] -name = "nbformat" -version = "5.10.4" -description = "The Jupyter Notebook format" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, - {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, -] - -[package.dependencies] -fastjsonschema = ">=2.15" -jsonschema = ">=2.6" -jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" -traitlets = ">=5.1" - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["pep440", "pre-commit", "pytest", "testpath"] - -[[package]] -name = "nest-asyncio" -version = "1.6.0" -description = "Patch asyncio to allow nested event loops" -optional = false -python-versions = ">=3.5" -groups = ["dev"] -files = [ - {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, - {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, -] - -[[package]] -name = "netcdf4" -version = "1.7.3" -description = "Provides an object-oriented python interface to the netCDF version 4 library" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "platform_system == \"Windows\" and platform_machine == \"ARM64\" and python_version == \"3.10\"" -files = [ - {file = "netcdf4-1.7.3-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:db761afd3a6b9482df018c4783e0bdf99141a41db1f14c68c89986effb182d57"}, - {file = "netcdf4-1.7.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:ad4c2d9b469248d83cbacb70ad9e7d3a6c0ba27febe839c90192147199745ba4"}, - {file = "netcdf4-1.7.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c6986d039717582071e55ae9c6fbebfe4e5bbbc3af122fc3db0c0c09c4d8955e"}, - {file = "netcdf4-1.7.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:348e79b4f26f2e403fe3c54364e9297e4ef326c7ee12f9be01c037db853d26c0"}, - {file = "netcdf4-1.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:6ab71f5d70e55e8584d168d5158efdb2fd8d350a033d0c27d942c3d399587f54"}, - {file = "netcdf4-1.7.3-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:801c222d8ad35fd7dc7e9aa7ea6373d184bcb3b8ee6b794c5fbecaa5155b1792"}, - {file = "netcdf4-1.7.3-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:83dbfd6f10a0ec785d5296016bd821bbe9f0df780be72fc00a1f0d179d9c5f0f"}, - {file = "netcdf4-1.7.3-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:949e086d4d2612b49e5b95f60119d216c9ceb7b17bc771e9e0fa0e9b9c0a2f9f"}, - {file = "netcdf4-1.7.3-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0c764ba6f6a1421cab5496097e8a1c4d2e36be2a04880dfd288bb61b348c217e"}, - {file = "netcdf4-1.7.3-cp311-abi3-win_amd64.whl", hash = "sha256:1b6c646fa179fb1e5e8d6e8231bc78cc0311eceaa1241256b5a853f1d04055b9"}, - {file = "netcdf4-1.7.3.tar.gz", hash = "sha256:83f122fc3415e92b1d4904fd6a0898468b5404c09432c34beb6b16c533884673"}, -] - -[package.dependencies] -certifi = "*" -cftime = "*" -numpy = "*" - -[package.extras] -parallel = ["mpi4py"] -tests = ["Cython", "packaging", "pytest", "typing-extensions (>=4.15.0)"] - -[[package]] -name = "netcdf4" -version = "1.7.4" -description = "Provides an object-oriented python interface to the netCDF version 4 library" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "platform_system != \"Windows\" or platform_machine != \"ARM64\" or python_version >= \"3.11\"" -files = [ - {file = "netcdf4-1.7.4-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b1c1a7ea3678db76bf33d14f7e202385d634db38c5e70d8cf4895971023eebb9"}, - {file = "netcdf4-1.7.4-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:d3f9497873454207f9480847d02b1b19a4bc81ad6e9166e1c17d4e2f8f3555d1"}, - {file = "netcdf4-1.7.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8e18294af803e80f8c0339f791901942e268c334c099bbd5f7ea8325a49801a"}, - {file = "netcdf4-1.7.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0b06c0b93fd0ecc1ec67a582f3ba98b7db9da1fa843c8f83fd75990e3701771e"}, - {file = "netcdf4-1.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:889ba77f084504aebaba9c6f9a88ac213431fef0e897f887cd35aef351ff7740"}, - {file = "netcdf4-1.7.4-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8"}, - {file = "netcdf4-1.7.4-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:75cf59100f0775bc4d6b9d4aca7cbabd12e2b8cf3b9a4fb16d810b92743a315a"}, - {file = "netcdf4-1.7.4-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932"}, - {file = "netcdf4-1.7.4-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a72c9f58767779ec14cb7451c3b56bdd8fdc027a792fac2062b14e090c5617f3"}, - {file = "netcdf4-1.7.4-cp311-abi3-win_amd64.whl", hash = "sha256:9476e1f23161ae5159cd1548c50c8a37922e77d76583e247133f256ef7b825fc"}, - {file = "netcdf4-1.7.4-cp311-abi3-win_arm64.whl", hash = "sha256:876ad9d58f09c98741c066c726164c45a098a58fb90e5fac9e74de4bb8a793fd"}, - {file = "netcdf4-1.7.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56688c03444fffe0d0c7512cb45245e650389cd841c955b30e4552fa681c4cd9"}, - {file = "netcdf4-1.7.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ecf471ba8a6ddb2200121949bedfa0095db228822f38227d5da680694a38358"}, - {file = "netcdf4-1.7.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5841de0735e8e4875b367c668e81d334287858d64dd9f3e3e2261e808c84922"}, - {file = "netcdf4-1.7.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:86fac03a8c5b250d57866e7d98918a64742e4b0de1681c5c86bac5726bab8aee"}, - {file = "netcdf4-1.7.4-cp314-cp314t-macosx_13_0_x86_64.whl", hash = "sha256:ad083d260301b5add74b1669c75ab0df03bdf986decfcc092cb45eec2615b5f1"}, - {file = "netcdf4-1.7.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:7f22014092cc9da3f056b0368e2e38c42afd5725c87ad4843eb2f467e16dd4f6"}, - {file = "netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224a15434c165a5e0225e5831f591edf62533044b1ce62fdfee815195bbd077d"}, - {file = "netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:31a2318305de6831a18df25ad0df9f03b6d68666af0356d4f6057d66c02ffeb6"}, - {file = "netcdf4-1.7.4-cp314-cp314t-win_amd64.whl", hash = "sha256:6c4a0aa9446c3a616ef3be015b629dc6173643f8b09546de26a4e40e272cd1ed"}, - {file = "netcdf4-1.7.4-cp314-cp314t-win_arm64.whl", hash = "sha256:034220887d48da032cb2db5958f69759dbb04eb33e279ec6390571d4aea734fe"}, - {file = "netcdf4-1.7.4.tar.gz", hash = "sha256:cdbfdc92d6f4d7192ca8506c9b3d4c1d9892969ff28d8e8e1fc97ca08bf12164"}, -] - -[package.dependencies] -certifi = "*" -cftime = "*" -numpy = [ - {version = ">=1.21.2", markers = "platform_system != \"Windows\" or platform_machine != \"ARM64\""}, - {version = ">=2.3.0", markers = "platform_system == \"Windows\" and platform_machine == \"ARM64\""}, -] - -[package.extras] -parallel = ["mpi4py"] -tests = ["Cython", "packaging", "pytest", "typing-extensions (>=4.15.0)"] - -[[package]] -name = "networkx" -version = "3.4.2" -description = "Python package for creating and manipulating graphs and networks" -optional = false -python-versions = ">=3.10" -groups = ["main", "optim-torch"] -markers = "python_version == \"3.10\"" -files = [ - {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, - {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, -] - -[package.extras] -default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"] -developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"] -doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"] -example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"] -extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] -test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] - -[[package]] -name = "networkx" -version = "3.6.1" -description = "Python package for creating and manipulating graphs and networks" -optional = false -python-versions = "!=3.14.1,>=3.11" -groups = ["main", "optim-torch"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"}, - {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"}, -] - -[package.extras] -benchmarking = ["asv", "virtualenv"] -default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"] -developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"] -doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"] -example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"] -extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] -release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"] -test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"] -test-extras = ["pytest-mpl", "pytest-randomly"] - -[[package]] -name = "notebook" -version = "7.5.3" -description = "Jupyter Notebook - A web-based notebook environment for interactive computing" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "notebook-7.5.3-py3-none-any.whl", hash = "sha256:c997bfa1a2a9eb58c9bbb7e77d50428befb1033dd6f02c482922e96851d67354"}, - {file = "notebook-7.5.3.tar.gz", hash = "sha256:393ceb269cf9fdb02a3be607a57d7bd5c2c14604f1818a17dbeb38e04f98cbfa"}, -] - -[package.dependencies] -jupyter-server = ">=2.4.0,<3" -jupyterlab = ">=4.5.3,<4.6" -jupyterlab-server = ">=2.28.0,<3" -notebook-shim = ">=0.2,<0.3" -tornado = ">=6.2.0" - -[package.extras] -dev = ["hatch", "pre-commit"] -docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["importlib-resources (>=5.0) ; python_version < \"3.10\"", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.28.0,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] - -[[package]] -name = "notebook-shim" -version = "0.2.4" -description = "A shim layer for notebook traits and config" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, - {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, -] - -[package.dependencies] -jupyter-server = ">=1.8,<3" - -[package.extras] -test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] - -[[package]] -name = "numba" -version = "0.63.1" -description = "compiling Python code using LLVM" -optional = false -python-versions = ">=3.10" -groups = ["optim-numba"] -markers = "python_version == \"3.10\"" -files = [ - {file = "numba-0.63.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c6d6bf5bf00f7db629305caaec82a2ffb8abe2bf45eaad0d0738dc7de4113779"}, - {file = "numba-0.63.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08653d0dfc9cc9c4c9a8fba29ceb1f2d5340c3b86c4a7e5e07e42b643bc6a2f4"}, - {file = "numba-0.63.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f09eebf5650246ce2a4e9a8d38270e2d4b0b0ae978103bafb38ed7adc5ea906e"}, - {file = "numba-0.63.1-cp310-cp310-win_amd64.whl", hash = "sha256:f8bba17421d865d8c0f7be2142754ebce53e009daba41c44cf6909207d1a8d7d"}, - {file = "numba-0.63.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b33db00f18ccc790ee9911ce03fcdfe9d5124637d1ecc266f5ae0df06e02fec3"}, - {file = "numba-0.63.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7d31ea186a78a7c0f6b1b2a3fe68057fdb291b045c52d86232b5383b6cf4fc25"}, - {file = "numba-0.63.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed3bb2fbdb651d6aac394388130a7001aab6f4541837123a4b4ab8b02716530c"}, - {file = "numba-0.63.1-cp311-cp311-win_amd64.whl", hash = "sha256:1ecbff7688f044b1601be70113e2fb1835367ee0b28ffa8f3adf3a05418c5c87"}, - {file = "numba-0.63.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2819cd52afa5d8d04e057bdfd54367575105f8829350d8fb5e4066fb7591cc71"}, - {file = "numba-0.63.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5cfd45dbd3d409e713b1ccfdc2ee72ca82006860254429f4ef01867fdba5845f"}, - {file = "numba-0.63.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:69a599df6976c03b7ecf15d05302696f79f7e6d10d620367407517943355bcb0"}, - {file = "numba-0.63.1-cp312-cp312-win_amd64.whl", hash = "sha256:bbad8c63e4fc7eb3cdb2c2da52178e180419f7969f9a685f283b313a70b92af3"}, - {file = "numba-0.63.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:0bd4fd820ef7442dcc07da184c3f54bb41d2bdb7b35bacf3448e73d081f730dc"}, - {file = "numba-0.63.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:53de693abe4be3bd4dee38e1c55f01c55ff644a6a3696a3670589e6e4c39cde2"}, - {file = "numba-0.63.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:81227821a72a763c3d4ac290abbb4371d855b59fdf85d5af22a47c0e86bf8c7e"}, - {file = "numba-0.63.1-cp313-cp313-win_amd64.whl", hash = "sha256:eb227b07c2ac37b09432a9bda5142047a2d1055646e089d4a240a2643e508102"}, - {file = "numba-0.63.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f180883e5508940cc83de8a8bea37fc6dd20fbe4e5558d4659b8b9bef5ff4731"}, - {file = "numba-0.63.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f0938764afa82a47c0e895637a6c55547a42c9e1d35cac42285b1fa60a8b02bb"}, - {file = "numba-0.63.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f90a929fa5094e062d4e0368ede1f4497d5e40f800e80aa5222c4734236a2894"}, - {file = "numba-0.63.1-cp314-cp314-win_amd64.whl", hash = "sha256:8d6d5ce85f572ed4e1a135dbb8c0114538f9dd0e3657eeb0bb64ab204cbe2a8f"}, - {file = "numba-0.63.1.tar.gz", hash = "sha256:b320aa675d0e3b17b40364935ea52a7b1c670c9037c39cf92c49502a75902f4b"}, -] - -[package.dependencies] -llvmlite = "==0.46.*" -numpy = ">=1.22,<2.4" - -[[package]] -name = "numba" -version = "0.64.0rc1" -description = "compiling Python code using LLVM" -optional = false -python-versions = ">=3.10" -groups = ["optim-numba"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "numba-0.64.0rc1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2fe361b3270a9dbc72cfc8cdf9932edc0bf96d46b4f6cf0a1dd96c73b774c7e3"}, - {file = "numba-0.64.0rc1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8300ca1f4c5aa11fe48aea66ae4b714ac8e545dac3b3d2c0a4d4e43983f5b9fe"}, - {file = "numba-0.64.0rc1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2825bd8bfaa35ba5a86a75e7d9d598d0362be01f6fb42129608b53976ee98876"}, - {file = "numba-0.64.0rc1-cp310-cp310-win_amd64.whl", hash = "sha256:398a83f9fe463f2db49139e49e995a536d0d14b1aad30034414b0e373c6acb99"}, - {file = "numba-0.64.0rc1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ad3d700c495bb697313a8334208fc3f185e16b08aafc7a93f9219e58b5294e5"}, - {file = "numba-0.64.0rc1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c1081628787dafa11650bb1424bb8d5e77fed7b8e3ae67e10225911c001c732e"}, - {file = "numba-0.64.0rc1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92de8a62362b52eae81013c39b87cd8cff91098f6249039977f1d8ddf17a0cd6"}, - {file = "numba-0.64.0rc1-cp311-cp311-win_amd64.whl", hash = "sha256:b75ef5506164d0b6166e6f5d6ca37529e602bc51b7b5f031c35b532cb973d125"}, - {file = "numba-0.64.0rc1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:08d74c327ced9143205ad82a93bfd7ce35acf244f9f302b038f9d4e7883f4de8"}, - {file = "numba-0.64.0rc1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6ae20beb8df7de754c981280196217744fff9c5966526e1a56a290f59635bc65"}, - {file = "numba-0.64.0rc1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bb6b8ab0cf6f01e887a503dfab46ea01f7f4d7db397d27699772bbf87de7be56"}, - {file = "numba-0.64.0rc1-cp312-cp312-win_amd64.whl", hash = "sha256:cf45fead238f82beaaec7fda5567c5c682a6b91307c8f16a2f25fc88ad9e966f"}, - {file = "numba-0.64.0rc1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6db0d9f1eb17a084756b6194b7436d5d2dc4998e9b74cfc10e0ae4407cd32e10"}, - {file = "numba-0.64.0rc1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:68cc12d5b71f82117a086cb6a9d992c779b9f830dd385ca7d7fc45972f0a1f21"}, - {file = "numba-0.64.0rc1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed14427664c250d23aae8047368b98a005cfe246bb1cc558dc8f3e866263f445"}, - {file = "numba-0.64.0rc1-cp313-cp313-win_amd64.whl", hash = "sha256:84eb0388b23cb7cd198cf48f35798f37677d569b2af6b73ad3f64dd82f54bc10"}, - {file = "numba-0.64.0rc1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6348e9d1b8484fcf4c1071700acb05fbf78c90274eda858aa4b31fcd236de128"}, - {file = "numba-0.64.0rc1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4bc2a22811d0cb6d075b4cd01ff277bbc8bd99f2351032b0c3c63f0ba1b4dd04"}, - {file = "numba-0.64.0rc1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:81b92e79d3dc3e2a0d8491280f47398c0b6bf9b10107eaa1449bdde2b929d3ce"}, - {file = "numba-0.64.0rc1-cp314-cp314-win_amd64.whl", hash = "sha256:eda7073d65ded76bca133f4a081f4eb9b989bd62f8ee86d6c589cb32863ca3a1"}, - {file = "numba-0.64.0rc1.tar.gz", hash = "sha256:d6ae88843308abbbaed38ff8a937e7630b90d1577c180b31095553c5f081f07b"}, -] - -[package.dependencies] -llvmlite = "==0.46.*" -numpy = ">=1.22,<2.5" - -[[package]] -name = "numpy" -version = "2.2.6" -description = "Fundamental package for array computing in Python" -optional = false -python-versions = ">=3.10" -groups = ["main", "optim-numba"] -markers = "python_version == \"3.10\"" -files = [ - {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, - {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, - {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163"}, - {file = "numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf"}, - {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83"}, - {file = "numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915"}, - {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680"}, - {file = "numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289"}, - {file = "numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d"}, - {file = "numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3"}, - {file = "numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae"}, - {file = "numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a"}, - {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42"}, - {file = "numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491"}, - {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a"}, - {file = "numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf"}, - {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1"}, - {file = "numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab"}, - {file = "numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47"}, - {file = "numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303"}, - {file = "numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff"}, - {file = "numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c"}, - {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3"}, - {file = "numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282"}, - {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87"}, - {file = "numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249"}, - {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49"}, - {file = "numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de"}, - {file = "numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4"}, - {file = "numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2"}, - {file = "numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84"}, - {file = "numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b"}, - {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d"}, - {file = "numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566"}, - {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f"}, - {file = "numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f"}, - {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868"}, - {file = "numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d"}, - {file = "numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd"}, - {file = "numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c"}, - {file = "numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6"}, - {file = "numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda"}, - {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40"}, - {file = "numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8"}, - {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f"}, - {file = "numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa"}, - {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571"}, - {file = "numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1"}, - {file = "numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff"}, - {file = "numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06"}, - {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d"}, - {file = "numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db"}, - {file = "numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543"}, - {file = "numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00"}, - {file = "numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd"}, -] - -[[package]] -name = "numpy" -version = "2.4.1" -description = "Fundamental package for array computing in Python" -optional = false -python-versions = ">=3.11" -groups = ["main", "optim-numba"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "numpy-2.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0cce2a669e3c8ba02ee563c7835f92c153cf02edff1ae05e1823f1dde21b16a5"}, - {file = "numpy-2.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:899d2c18024984814ac7e83f8f49d8e8180e2fbe1b2e252f2e7f1d06bea92425"}, - {file = "numpy-2.4.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:09aa8a87e45b55a1c2c205d42e2808849ece5c484b2aab11fecabec3841cafba"}, - {file = "numpy-2.4.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:edee228f76ee2dab4579fad6f51f6a305de09d444280109e0f75df247ff21501"}, - {file = "numpy-2.4.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a92f227dbcdc9e4c3e193add1a189a9909947d4f8504c576f4a732fd0b54240a"}, - {file = "numpy-2.4.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:538bf4ec353709c765ff75ae616c34d3c3dca1a68312727e8f2676ea644f8509"}, - {file = "numpy-2.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ac08c63cb7779b85e9d5318e6c3518b424bc1f364ac4cb2c6136f12e5ff2dccc"}, - {file = "numpy-2.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4f9c360ecef085e5841c539a9a12b883dff005fbd7ce46722f5e9cef52634d82"}, - {file = "numpy-2.4.1-cp311-cp311-win32.whl", hash = "sha256:0f118ce6b972080ba0758c6087c3617b5ba243d806268623dc34216d69099ba0"}, - {file = "numpy-2.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:18e14c4d09d55eef39a6ab5b08406e84bc6869c1e34eef45564804f90b7e0574"}, - {file = "numpy-2.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:6461de5113088b399d655d45c3897fa188766415d0f568f175ab071c8873bd73"}, - {file = "numpy-2.4.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d3703409aac693fa82c0aee023a1ae06a6e9d065dba10f5e8e80f642f1e9d0a2"}, - {file = "numpy-2.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7211b95ca365519d3596a1d8688a95874cc94219d417504d9ecb2df99fa7bfa8"}, - {file = "numpy-2.4.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5adf01965456a664fc727ed69cc71848f28d063217c63e1a0e200a118d5eec9a"}, - {file = "numpy-2.4.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:26f0bcd9c79a00e339565b303badc74d3ea2bd6d52191eeca5f95936cad107d0"}, - {file = "numpy-2.4.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0093e85df2960d7e4049664b26afc58b03236e967fb942354deef3208857a04c"}, - {file = "numpy-2.4.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ad270f438cbdd402c364980317fb6b117d9ec5e226fff5b4148dd9aa9fc6e02"}, - {file = "numpy-2.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:297c72b1b98100c2e8f873d5d35fb551fce7040ade83d67dd51d38c8d42a2162"}, - {file = "numpy-2.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:cf6470d91d34bf669f61d515499859fa7a4c2f7c36434afb70e82df7217933f9"}, - {file = "numpy-2.4.1-cp312-cp312-win32.whl", hash = "sha256:b6bcf39112e956594b3331316d90c90c90fb961e39696bda97b89462f5f3943f"}, - {file = "numpy-2.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:e1a27bb1b2dee45a2a53f5ca6ff2d1a7f135287883a1689e930d44d1ff296c87"}, - {file = "numpy-2.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:0e6e8f9d9ecf95399982019c01223dc130542960a12edfa8edd1122dfa66a8a8"}, - {file = "numpy-2.4.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d797454e37570cfd61143b73b8debd623c3c0952959adb817dd310a483d58a1b"}, - {file = "numpy-2.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82c55962006156aeef1629b953fd359064aa47e4d82cfc8e67f0918f7da3344f"}, - {file = "numpy-2.4.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:71abbea030f2cfc3092a0ff9f8c8fdefdc5e0bf7d9d9c99663538bb0ecdac0b9"}, - {file = "numpy-2.4.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:5b55aa56165b17aaf15520beb9cbd33c9039810e0d9643dd4379e44294c7303e"}, - {file = "numpy-2.4.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0faba4a331195bfa96f93dd9dfaa10b2c7aa8cda3a02b7fd635e588fe821bf5"}, - {file = "numpy-2.4.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e3087f53e2b4428766b54932644d148613c5a595150533ae7f00dab2f319a8"}, - {file = "numpy-2.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:49e792ec351315e16da54b543db06ca8a86985ab682602d90c60ef4ff4db2a9c"}, - {file = "numpy-2.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:79e9e06c4c2379db47f3f6fc7a8652e7498251789bf8ff5bd43bf478ef314ca2"}, - {file = "numpy-2.4.1-cp313-cp313-win32.whl", hash = "sha256:3d1a100e48cb266090a031397863ff8a30050ceefd798f686ff92c67a486753d"}, - {file = "numpy-2.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:92a0e65272fd60bfa0d9278e0484c2f52fe03b97aedc02b357f33fe752c52ffb"}, - {file = "numpy-2.4.1-cp313-cp313-win_arm64.whl", hash = "sha256:20d4649c773f66cc2fc36f663e091f57c3b7655f936a4c681b4250855d1da8f5"}, - {file = "numpy-2.4.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f93bc6892fe7b0663e5ffa83b61aab510aacffd58c16e012bb9352d489d90cb7"}, - {file = "numpy-2.4.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:178de8f87948163d98a4c9ab5bee4ce6519ca918926ec8df195af582de28544d"}, - {file = "numpy-2.4.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:98b35775e03ab7f868908b524fc0a84d38932d8daf7b7e1c3c3a1b6c7a2c9f15"}, - {file = "numpy-2.4.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:941c2a93313d030f219f3a71fd3d91a728b82979a5e8034eb2e60d394a2b83f9"}, - {file = "numpy-2.4.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:529050522e983e00a6c1c6b67411083630de8b57f65e853d7b03d9281b8694d2"}, - {file = "numpy-2.4.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:2302dc0224c1cbc49bb94f7064f3f923a971bfae45c33870dcbff63a2a550505"}, - {file = "numpy-2.4.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:9171a42fcad32dcf3fa86f0a4faa5e9f8facefdb276f54b8b390d90447cff4e2"}, - {file = "numpy-2.4.1-cp313-cp313t-win32.whl", hash = "sha256:382ad67d99ef49024f11d1ce5dcb5ad8432446e4246a4b014418ba3a1175a1f4"}, - {file = "numpy-2.4.1-cp313-cp313t-win_amd64.whl", hash = "sha256:62fea415f83ad8fdb6c20840578e5fbaf5ddd65e0ec6c3c47eda0f69da172510"}, - {file = "numpy-2.4.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a7870e8c5fc11aef57d6fea4b4085e537a3a60ad2cdd14322ed531fdca68d261"}, - {file = "numpy-2.4.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:3869ea1ee1a1edc16c29bbe3a2f2a4e515cc3a44d43903ad41e0cacdbaf733dc"}, - {file = "numpy-2.4.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e867df947d427cdd7a60e3e271729090b0f0df80f5f10ab7dd436f40811699c3"}, - {file = "numpy-2.4.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:e3bd2cb07841166420d2fa7146c96ce00cb3410664cbc1a6be028e456c4ee220"}, - {file = "numpy-2.4.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:f0a90aba7d521e6954670550e561a4cb925713bd944445dbe9e729b71f6cabee"}, - {file = "numpy-2.4.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d558123217a83b2d1ba316b986e9248a1ed1971ad495963d555ccd75dcb1556"}, - {file = "numpy-2.4.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f44de05659b67d20499cbc96d49f2650769afcb398b79b324bb6e297bfe3844"}, - {file = "numpy-2.4.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:69e7419c9012c4aaf695109564e3387f1259f001b4326dfa55907b098af082d3"}, - {file = "numpy-2.4.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2ffd257026eb1b34352e749d7cc1678b5eeec3e329ad8c9965a797e08ccba205"}, - {file = "numpy-2.4.1-cp314-cp314-win32.whl", hash = "sha256:727c6c3275ddefa0dc078524a85e064c057b4f4e71ca5ca29a19163c607be745"}, - {file = "numpy-2.4.1-cp314-cp314-win_amd64.whl", hash = "sha256:7d5d7999df434a038d75a748275cd6c0094b0ecdb0837342b332a82defc4dc4d"}, - {file = "numpy-2.4.1-cp314-cp314-win_arm64.whl", hash = "sha256:ce9ce141a505053b3c7bce3216071f3bf5c182b8b28930f14cd24d43932cd2df"}, - {file = "numpy-2.4.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4e53170557d37ae404bf8d542ca5b7c629d6efa1117dac6a83e394142ea0a43f"}, - {file = "numpy-2.4.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:a73044b752f5d34d4232f25f18160a1cc418ea4507f5f11e299d8ac36875f8a0"}, - {file = "numpy-2.4.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:fb1461c99de4d040666ca0444057b06541e5642f800b71c56e6ea92d6a853a0c"}, - {file = "numpy-2.4.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:423797bdab2eeefbe608d7c1ec7b2b4fd3c58d51460f1ee26c7500a1d9c9ee93"}, - {file = "numpy-2.4.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:52b5f61bdb323b566b528899cc7db2ba5d1015bda7ea811a8bcf3c89c331fa42"}, - {file = "numpy-2.4.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:42d7dd5fa36d16d52a84f821eb96031836fd405ee6955dd732f2023724d0aa01"}, - {file = "numpy-2.4.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7b6b5e28bbd47b7532698e5db2fe1db693d84b58c254e4389d99a27bb9b8f6b"}, - {file = "numpy-2.4.1-cp314-cp314t-win32.whl", hash = "sha256:5de60946f14ebe15e713a6f22850c2372fa72f4ff9a432ab44aa90edcadaa65a"}, - {file = "numpy-2.4.1-cp314-cp314t-win_amd64.whl", hash = "sha256:8f085da926c0d491ffff3096f91078cc97ea67e7e6b65e490bc8dcda65663be2"}, - {file = "numpy-2.4.1-cp314-cp314t-win_arm64.whl", hash = "sha256:6436cffb4f2bf26c974344439439c95e152c9a527013f26b3577be6c2ca64295"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8ad35f20be147a204e28b6a0575fbf3540c5e5f802634d4258d55b1ff5facce1"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:8097529164c0f3e32bb89412a0905d9100bf434d9692d9fc275e18dcf53c9344"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:ea66d2b41ca4a1630aae5507ee0a71647d3124d1741980138aa8f28f44dac36e"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:d3f8f0df9f4b8be57b3bf74a1d087fec68f927a2fab68231fdb442bf2c12e426"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2023ef86243690c2791fd6353e5b4848eedaa88ca8a2d129f462049f6d484696"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8361ea4220d763e54cff2fbe7d8c93526b744f7cd9ddab47afeff7e14e8503be"}, - {file = "numpy-2.4.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:4f1b68ff47680c2925f8063402a693ede215f0257f02596b1318ecdfb1d79e33"}, - {file = "numpy-2.4.1.tar.gz", hash = "sha256:a1ceafc5042451a858231588a104093474c6a5c57dcc724841f5c888d237d690"}, -] - -[[package]] -name = "nvidia-cublas-cu12" -version = "12.8.4.1" -description = "CUBLAS native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"}, - {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142"}, - {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-win_amd64.whl", hash = "sha256:47e9b82132fa8d2b4944e708049229601448aaad7e6f296f630f2d1a32de35af"}, -] - -[[package]] -name = "nvidia-cuda-cupti-cu12" -version = "12.8.90" -description = "CUDA profiling tools runtime libs." -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed"}, - {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182"}, - {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:bb479dcdf7e6d4f8b0b01b115260399bf34154a1a2e9fe11c85c517d87efd98e"}, -] - -[[package]] -name = "nvidia-cuda-nvrtc-cu12" -version = "12.8.93" -description = "NVRTC native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"}, - {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"}, - {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:7a4b6b2904850fe78e0bd179c4b655c404d4bb799ef03ddc60804247099ae909"}, -] - -[[package]] -name = "nvidia-cuda-runtime-cu12" -version = "12.8.90" -description = "CUDA Runtime native Libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d"}, - {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90"}, - {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:c0c6027f01505bfed6c3b21ec546f69c687689aad5f1a377554bc6ca4aa993a8"}, -] - -[[package]] -name = "nvidia-cudnn-cu12" -version = "9.10.2.21" -description = "cuDNN runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"}, - {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"}, - {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-win_amd64.whl", hash = "sha256:c6288de7d63e6cf62988f0923f96dc339cea362decb1bf5b3141883392a7d65e"}, -] - -[package.dependencies] -nvidia-cublas-cu12 = "*" - -[[package]] -name = "nvidia-cufft-cu12" -version = "11.3.3.83" -description = "CUFFT native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"}, - {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"}, - {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-win_amd64.whl", hash = "sha256:7a64a98ef2a7c47f905aaf8931b69a3a43f27c55530c698bb2ed7c75c0b42cb7"}, -] - -[package.dependencies] -nvidia-nvjitlink-cu12 = "*" - -[[package]] -name = "nvidia-cufile-cu12" -version = "1.13.1.3" -description = "cuFile GPUDirect libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"}, - {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"}, -] - -[[package]] -name = "nvidia-curand-cu12" -version = "10.3.9.90" -description = "CURAND native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"}, - {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"}, - {file = "nvidia_curand_cu12-10.3.9.90-py3-none-win_amd64.whl", hash = "sha256:f149a8ca457277da854f89cf282d6ef43176861926c7ac85b2a0fbd237c587ec"}, -] - -[[package]] -name = "nvidia-cusolver-cu12" -version = "11.7.3.90" -description = "CUDA solver native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0"}, - {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450"}, - {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-win_amd64.whl", hash = "sha256:4a550db115fcabc4d495eb7d39ac8b58d4ab5d8e63274d3754df1c0ad6a22d34"}, -] - -[package.dependencies] -nvidia-cublas-cu12 = "*" -nvidia-cusparse-cu12 = "*" -nvidia-nvjitlink-cu12 = "*" - -[[package]] -name = "nvidia-cusparse-cu12" -version = "12.5.8.93" -description = "CUSPARSE native runtime libraries" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc"}, - {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b"}, - {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-win_amd64.whl", hash = "sha256:9a33604331cb2cac199f2e7f5104dfbb8a5a898c367a53dfda9ff2acb6b6b4dd"}, -] - -[package.dependencies] -nvidia-nvjitlink-cu12 = "*" - -[[package]] -name = "nvidia-cusparselt-cu12" -version = "0.7.1" -description = "NVIDIA cuSPARSELt" -optional = false -python-versions = "*" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8878dce784d0fac90131b6817b607e803c36e629ba34dc5b433471382196b6a5"}, - {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623"}, - {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-win_amd64.whl", hash = "sha256:f67fbb5831940ec829c9117b7f33807db9f9678dc2a617fbe781cac17b4e1075"}, -] - -[[package]] -name = "nvidia-nccl-cu12" -version = "2.27.5" -description = "NVIDIA Collective Communication Library (NCCL) Runtime" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"}, - {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"}, -] - -[[package]] -name = "nvidia-nvjitlink-cu12" -version = "12.8.93" -description = "Nvidia JIT LTO Library" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"}, - {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"}, - {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f"}, -] - -[[package]] -name = "nvidia-nvshmem-cu12" -version = "3.4.5" -description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters." -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b48363fc6964dede448029434c6abed6c5e37f823cb43c3bcde7ecfc0457e15"}, - {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd"}, -] - -[[package]] -name = "nvidia-nvtx-cu12" -version = "12.8.90" -description = "NVIDIA Tools Extension" -optional = false -python-versions = ">=3" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615"}, - {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f"}, - {file = "nvidia_nvtx_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:619c8304aedc69f02ea82dd244541a83c3d9d40993381b3b590f1adaed3db41e"}, -] - -[[package]] -name = "orjson" -version = "3.11.6" -description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -files = [ - {file = "orjson-3.11.6-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a613fc37e007143d5b6286dccb1394cd114b07832417006a02b620ddd8279e37"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46ebee78f709d3ba7a65384cfe285bb0763157c6d2f836e7bde2f12d33a867a2"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a726fa86d2368cd57990f2bd95ef5495a6e613b08fc9585dfe121ec758fb08d1"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:150f12e59d6864197770c78126e1a6e07a3da73d1728731bf3bc1e8b96ffdbe6"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a2d9746a5b5ce20c0908ada451eb56da4ffa01552a50789a0354d8636a02953"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afd177f5dd91666d31e9019f1b06d2fcdf8a409a1637ddcb5915085dede85680"}, - {file = "orjson-3.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d777ec41a327bd3b7de97ba7bce12cc1007815ca398e4e4de9ec56c022c090b"}, - {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f3a135f83185c87c13ff231fcb7dbb2fa4332a376444bd65135b50ff4cc5265c"}, - {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:2a8eeed7d4544cf391a142b0dd06029dac588e96cc692d9ab1c3f05b1e57c7f6"}, - {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9d576865a21e5cc6695be8fb78afc812079fd361ce6a027a7d41561b61b33a90"}, - {file = "orjson-3.11.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:925e2df51f60aa50f8797830f2adfc05330425803f4105875bb511ced98b7f89"}, - {file = "orjson-3.11.6-cp310-cp310-win32.whl", hash = "sha256:09dded2de64e77ac0b312ad59f35023548fb87393a57447e1bb36a26c181a90f"}, - {file = "orjson-3.11.6-cp310-cp310-win_amd64.whl", hash = "sha256:3a63b5e7841ca8635214c6be7c0bf0246aa8c5cd4ef0c419b14362d0b2fb13de"}, - {file = "orjson-3.11.6-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e259e85a81d76d9665f03d6129e09e4435531870de5961ddcd0bf6e3a7fde7d7"}, - {file = "orjson-3.11.6-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:52263949f41b4a4822c6b1353bcc5ee2f7109d53a3b493501d3369d6d0e7937a"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6439e742fa7834a24698d358a27346bb203bff356ae0402e7f5df8f749c621a8"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b81ffd68f084b4e993e3867acb554a049fa7787cc8710bbcc1e26965580d99be"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5a5468e5e60f7ef6d7f9044b06c8f94a3c56ba528c6e4f7f06ae95164b595ec"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:72c5005eb45bd2535632d4f3bec7ad392832cfc46b62a3021da3b48a67734b45"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0b14dd49f3462b014455a28a4d810d3549bf990567653eb43765cd847df09145"}, - {file = "orjson-3.11.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e0bb2c1ea30ef302f0f89f9bf3e7f9ab5e2af29dc9f80eb87aa99788e4e2d65"}, - {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:825e0a85d189533c6bff7e2fc417a28f6fcea53d27125c4551979aecd6c9a197"}, - {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:b04575417a26530637f6ab4b1f7b4f666eb0433491091da4de38611f97f2fcf3"}, - {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b83eb2e40e8c4da6d6b340ee6b1d6125f5195eb1b0ebb7eac23c6d9d4f92d224"}, - {file = "orjson-3.11.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1f42da604ee65a6b87eef858c913ce3e5777872b19321d11e6fc6d21de89b64f"}, - {file = "orjson-3.11.6-cp311-cp311-win32.whl", hash = "sha256:5ae45df804f2d344cffb36c43fdf03c82fb6cd247f5faa41e21891b40dfbf733"}, - {file = "orjson-3.11.6-cp311-cp311-win_amd64.whl", hash = "sha256:f4295948d65ace0a2d8f2c4ccc429668b7eb8af547578ec882e16bf79b0050b2"}, - {file = "orjson-3.11.6-cp311-cp311-win_arm64.whl", hash = "sha256:314e9c45e0b81b547e3a1cfa3df3e07a815821b3dac9fe8cb75014071d0c16a4"}, - {file = "orjson-3.11.6-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6f03f30cd8953f75f2a439070c743c7336d10ee940da918d71c6f3556af3ddcf"}, - {file = "orjson-3.11.6-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:af44baae65ef386ad971469a8557a0673bb042b0b9fd4397becd9c2dfaa02588"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c310a48542094e4f7dbb6ac076880994986dda8ca9186a58c3cb70a3514d3231"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d8dfa7a5d387f15ecad94cb6b2d2d5f4aeea64efd8d526bfc03c9812d01e1cc0"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba8daee3e999411b50f8b50dbb0a3071dd1845f3f9a1a0a6fa6de86d1689d84d"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f89d104c974eafd7436d7a5fdbc57f7a1e776789959a2f4f1b2eab5c62a339f4"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2e2e2456788ca5ea75616c40da06fc885a7dc0389780e8a41bf7c5389ba257b"}, - {file = "orjson-3.11.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a42efebc45afabb1448001e90458c4020d5c64fbac8a8dc4045b777db76cb5a"}, - {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:71b7cbef8471324966c3738c90ba38775563ef01b512feb5ad4805682188d1b9"}, - {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:f8515e5910f454fe9a8e13c2bb9dc4bae4c1836313e967e72eb8a4ad874f0248"}, - {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:300360edf27c8c9bf7047345a94fddf3a8b8922df0ff69d71d854a170cb375cf"}, - {file = "orjson-3.11.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:caaed4dad39e271adfadc106fab634d173b2bb23d9cf7e67bd645f879175ebfc"}, - {file = "orjson-3.11.6-cp312-cp312-win32.whl", hash = "sha256:955368c11808c89793e847830e1b1007503a5923ddadc108547d3b77df761044"}, - {file = "orjson-3.11.6-cp312-cp312-win_amd64.whl", hash = "sha256:2c68de30131481150073d90a5d227a4a421982f42c025ecdfb66157f9579e06f"}, - {file = "orjson-3.11.6-cp312-cp312-win_arm64.whl", hash = "sha256:65dfa096f4e3a5e02834b681f539a87fbe85adc82001383c0db907557f666bfc"}, - {file = "orjson-3.11.6-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e4ae1670caabb598a88d385798692ce2a1b2f078971b3329cfb85253c6097f5b"}, - {file = "orjson-3.11.6-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:2c6b81f47b13dac2caa5d20fbc953c75eb802543abf48403a4703ed3bff225f0"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:647d6d034e463764e86670644bdcaf8e68b076e6e74783383b01085ae9ab334f"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8523b9cc4ef174ae52414f7699e95ee657c16aa18b3c3c285d48d7966cce9081"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:313dfd7184cde50c733fc0d5c8c0e2f09017b573afd11dc36bd7476b30b4cb17"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:905ee036064ff1e1fd1fb800055ac477cdcb547a78c22c1bc2bbf8d5d1a6fb42"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ce374cb98411356ba906914441fc993f271a7a666d838d8de0e0900dd4a4bc12"}, - {file = "orjson-3.11.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cded072b9f65fcfd188aead45efa5bd528ba552add619b3ad2a81f67400ec450"}, - {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7ab85bdbc138e1f73a234db6bb2e4cc1f0fcec8f4bd2bd2430e957a01aadf746"}, - {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:351b96b614e3c37a27b8ab048239ebc1e0be76cc17481a430d70a77fb95d3844"}, - {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:f9959c85576beae5cdcaaf39510b15105f1ee8b70d5dacd90152617f57be8c83"}, - {file = "orjson-3.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:75682d62b1b16b61a30716d7a2ec1f4c36195de4a1c61f6665aedd947b93a5d5"}, - {file = "orjson-3.11.6-cp313-cp313-win32.whl", hash = "sha256:40dc277999c2ef227dcc13072be879b4cfd325502daeb5c35ed768f706f2bf30"}, - {file = "orjson-3.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:f0f6e9f8ff7905660bc3c8a54cd4a675aa98f7f175cf00a59815e2ff42c0d916"}, - {file = "orjson-3.11.6-cp313-cp313-win_arm64.whl", hash = "sha256:1608999478664de848e5900ce41f25c4ecdfc4beacbc632b6fd55e1a586e5d38"}, - {file = "orjson-3.11.6-cp314-cp314-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6026db2692041d2a23fe2545606df591687787825ad5821971ef0974f2c47630"}, - {file = "orjson-3.11.6-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:132b0ab2e20c73afa85cf142e547511feb3d2f5b7943468984658f3952b467d4"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b376fb05f20a96ec117d47987dd3b39265c635725bda40661b4c5b73b77b5fde"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:954dae4e080574672a1dfcf2a840eddef0f27bd89b0e94903dd0824e9c1db060"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fe515bb89d59e1e4b48637a964f480b35c0a2676de24e65e55310f6016cca7ce"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:380f9709c275917af28feb086813923251e11ee10687257cd7f1ea188bcd4485"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8173e0d3f6081e7034c51cf984036d02f6bab2a2126de5a759d79f8e5a140e7"}, - {file = "orjson-3.11.6-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dddf9ba706294906c56ef5150a958317b09aa3a8a48df1c52ccf22ec1907eac"}, - {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:cbae5c34588dc79938dffb0b6fbe8c531f4dc8a6ad7f39759a9eb5d2da405ef2"}, - {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:f75c318640acbddc419733b57f8a07515e587a939d8f54363654041fd1f4e465"}, - {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:e0ab8d13aa2a3e98b4a43487c9205b2c92c38c054b4237777484d503357c8437"}, - {file = "orjson-3.11.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:f884c7fb1020d44612bd7ac0db0babba0e2f78b68d9a650c7959bf99c783773f"}, - {file = "orjson-3.11.6-cp314-cp314-win32.whl", hash = "sha256:8d1035d1b25732ec9f971e833a3e299d2b1a330236f75e6fd945ad982c76aaf3"}, - {file = "orjson-3.11.6-cp314-cp314-win_amd64.whl", hash = "sha256:931607a8865d21682bb72de54231655c86df1870502d2962dbfd12c82890d077"}, - {file = "orjson-3.11.6-cp314-cp314-win_arm64.whl", hash = "sha256:fe71f6b283f4f1832204ab8235ce07adad145052614f77c876fcf0dac97bc06f"}, - {file = "orjson-3.11.6.tar.gz", hash = "sha256:0a54c72259f35299fd033042367df781c2f66d10252955ca1efb7db309b954cb"}, -] - -[[package]] -name = "overrides" -version = "7.7.0" -description = "A decorator to automatically detect mismatch when overriding a method." -optional = false -python-versions = ">=3.6" -groups = ["dev"] -markers = "python_version < \"3.12\"" -files = [ - {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, - {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, -] - -[[package]] -name = "packaging" -version = "26.0" -description = "Core utilities for Python packages" -optional = false -python-versions = ">=3.8" -groups = ["main", "dev", "shiny"] -files = [ - {file = "packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529"}, - {file = "packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4"}, -] - -[[package]] -name = "paginate" -version = "0.5.7" -description = "Divides large result sets into pages for easier browsing" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591"}, - {file = "paginate-0.5.7.tar.gz", hash = "sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945"}, -] - -[package.extras] -dev = ["pytest", "tox"] -lint = ["black"] - -[[package]] -name = "pandas" -version = "2.3.3" -description = "Powerful data structures for data analysis, time series, and statistics" -optional = false -python-versions = ">=3.9" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"}, - {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"}, - {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1"}, - {file = "pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838"}, - {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250"}, - {file = "pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4"}, - {file = "pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826"}, - {file = "pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523"}, - {file = "pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45"}, - {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66"}, - {file = "pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b"}, - {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791"}, - {file = "pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151"}, - {file = "pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c"}, - {file = "pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53"}, - {file = "pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35"}, - {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908"}, - {file = "pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89"}, - {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98"}, - {file = "pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084"}, - {file = "pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b"}, - {file = "pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713"}, - {file = "pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8"}, - {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d"}, - {file = "pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac"}, - {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c"}, - {file = "pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493"}, - {file = "pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee"}, - {file = "pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5"}, - {file = "pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21"}, - {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78"}, - {file = "pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110"}, - {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86"}, - {file = "pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc"}, - {file = "pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0"}, - {file = "pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593"}, - {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c"}, - {file = "pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b"}, - {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6"}, - {file = "pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3"}, - {file = "pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5"}, - {file = "pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec"}, - {file = "pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7"}, - {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450"}, - {file = "pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5"}, - {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788"}, - {file = "pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87"}, - {file = "pandas-2.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c503ba5216814e295f40711470446bc3fd00f0faea8a086cbc688808e26f92a2"}, - {file = "pandas-2.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a637c5cdfa04b6d6e2ecedcb81fc52ffb0fd78ce2ebccc9ea964df9f658de8c8"}, - {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:854d00d556406bffe66a4c0802f334c9ad5a96b4f1f868adf036a21b11ef13ff"}, - {file = "pandas-2.3.3-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bf1f8a81d04ca90e32a0aceb819d34dbd378a98bf923b6398b9a3ec0bf44de29"}, - {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:23ebd657a4d38268c7dfbdf089fbc31ea709d82e4923c5ffd4fbd5747133ce73"}, - {file = "pandas-2.3.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5554c929ccc317d41a5e3d1234f3be588248e61f08a74dd17c9eabb535777dc9"}, - {file = "pandas-2.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:d3e28b3e83862ccf4d85ff19cf8c20b2ae7e503881711ff2d534dc8f761131aa"}, - {file = "pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b"}, -] - -[package.dependencies] -numpy = {version = ">=1.22.4", markers = "python_version < \"3.11\""} -python-dateutil = ">=2.8.2" -pytz = ">=2020.1" -tzdata = ">=2022.7" - -[package.extras] -all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] -aws = ["s3fs (>=2022.11.0)"] -clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] -compression = ["zstandard (>=0.19.0)"] -computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] -consortium-standard = ["dataframe-api-compat (>=0.1.7)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] -feather = ["pyarrow (>=10.0.1)"] -fss = ["fsspec (>=2022.11.0)"] -gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] -hdf5 = ["tables (>=3.8.0)"] -html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] -mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] -parquet = ["pyarrow (>=10.0.1)"] -performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] -plot = ["matplotlib (>=3.6.3)"] -postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] -pyarrow = ["pyarrow (>=10.0.1)"] -spss = ["pyreadstat (>=1.2.0)"] -sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] -test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.9.2)"] - -[[package]] -name = "pandas" -version = "3.0.0" -description = "Powerful data structures for data analysis, time series, and statistics" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "pandas-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d64ce01eb9cdca96a15266aa679ae50212ec52757c79204dbc7701a222401850"}, - {file = "pandas-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:613e13426069793aa1ec53bdcc3b86e8d32071daea138bbcf4fa959c9cdaa2e2"}, - {file = "pandas-3.0.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0192fee1f1a8e743b464a6607858ee4b071deb0b118eb143d71c2a1d170996d5"}, - {file = "pandas-3.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f0b853319dec8d5e0c8b875374c078ef17f2269986a78168d9bd57e49bf650ae"}, - {file = "pandas-3.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:707a9a877a876c326ae2cb640fbdc4ef63b0a7b9e2ef55c6df9942dcee8e2af9"}, - {file = "pandas-3.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:afd0aa3d0b5cda6e0b8ffc10dbcca3b09ef3cbcd3fe2b27364f85fdc04e1989d"}, - {file = "pandas-3.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:113b4cca2614ff7e5b9fee9b6f066618fe73c5a83e99d721ffc41217b2bf57dd"}, - {file = "pandas-3.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c14837eba8e99a8da1527c0280bba29b0eb842f64aa94982c5e21227966e164b"}, - {file = "pandas-3.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:9803b31f5039b3c3b10cc858c5e40054adb4b29b4d81cb2fd789f4121c8efbcd"}, - {file = "pandas-3.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:14c2a4099cd38a1d18ff108168ea417909b2dea3bd1ebff2ccf28ddb6a74d740"}, - {file = "pandas-3.0.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d257699b9a9960e6125686098d5714ac59d05222bef7a5e6af7a7fd87c650801"}, - {file = "pandas-3.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:69780c98f286076dcafca38d8b8eee1676adf220199c0a39f0ecbf976b68151a"}, - {file = "pandas-3.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4a66384f017240f3858a4c8a7cf21b0591c3ac885cddb7758a589f0f71e87ebb"}, - {file = "pandas-3.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:be8c515c9bc33989d97b89db66ea0cececb0f6e3c2a87fcc8b69443a6923e95f"}, - {file = "pandas-3.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:a453aad8c4f4e9f166436994a33884442ea62aa8b27d007311e87521b97246e1"}, - {file = "pandas-3.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:da768007b5a33057f6d9053563d6b74dd6d029c337d93c6d0d22a763a5c2ecc0"}, - {file = "pandas-3.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b78d646249b9a2bc191040988c7bb524c92fa8534fb0898a0741d7e6f2ffafa6"}, - {file = "pandas-3.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bc9cba7b355cb4162442a88ce495e01cb605f17ac1e27d6596ac963504e0305f"}, - {file = "pandas-3.0.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3c9a1a149aed3b6c9bf246033ff91e1b02d529546c5d6fb6b74a28fea0cf4c70"}, - {file = "pandas-3.0.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95683af6175d884ee89471842acfca29172a85031fccdabc35e50c0984470a0e"}, - {file = "pandas-3.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1fbbb5a7288719e36b76b4f18d46ede46e7f916b6c8d9915b756b0a6c3f792b3"}, - {file = "pandas-3.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8e8b9808590fa364416b49b2a35c1f4cf2785a6c156935879e57f826df22038e"}, - {file = "pandas-3.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:98212a38a709feb90ae658cb6227ea3657c22ba8157d4b8f913cd4c950de5e7e"}, - {file = "pandas-3.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:177d9df10b3f43b70307a149d7ec49a1229a653f907aa60a48f1877d0e6be3be"}, - {file = "pandas-3.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2713810ad3806767b89ad3b7b69ba153e1c6ff6d9c20f9c2140379b2a98b6c98"}, - {file = "pandas-3.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:15d59f885ee5011daf8335dff47dcb8a912a27b4ad7826dc6cbe809fd145d327"}, - {file = "pandas-3.0.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24e6547fb64d2c92665dd2adbfa4e85fa4fd70a9c070e7cfb03b629a0bbab5eb"}, - {file = "pandas-3.0.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:48ee04b90e2505c693d3f8e8f524dab8cb8aaf7ddcab52c92afa535e717c4812"}, - {file = "pandas-3.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:66f72fb172959af42a459e27a8d8d2c7e311ff4c1f7db6deb3b643dbc382ae08"}, - {file = "pandas-3.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4a4a400ca18230976724a5066f20878af785f36c6756e498e94c2a5e5d57779c"}, - {file = "pandas-3.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:940eebffe55528074341a5a36515f3e4c5e25e958ebbc764c9502cfc35ba3faa"}, - {file = "pandas-3.0.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:597c08fb9fef0edf1e4fa2f9828dd27f3d78f9b8c9b4a748d435ffc55732310b"}, - {file = "pandas-3.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:447b2d68ac5edcbf94655fe909113a6dba6ef09ad7f9f60c80477825b6c489fe"}, - {file = "pandas-3.0.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:debb95c77ff3ed3ba0d9aa20c3a2f19165cc7956362f9873fce1ba0a53819d70"}, - {file = "pandas-3.0.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fedabf175e7cd82b69b74c30adbaa616de301291a5231138d7242596fc296a8d"}, - {file = "pandas-3.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:412d1a89aab46889f3033a386912efcdfa0f1131c5705ff5b668dda88305e986"}, - {file = "pandas-3.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e979d22316f9350c516479dd3a92252be2937a9531ed3a26ec324198a99cdd49"}, - {file = "pandas-3.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:083b11415b9970b6e7888800c43c82e81a06cd6b06755d84804444f0007d6bb7"}, - {file = "pandas-3.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:5db1e62cb99e739fa78a28047e861b256d17f88463c76b8dafc7c1338086dca8"}, - {file = "pandas-3.0.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:697b8f7d346c68274b1b93a170a70974cdc7d7354429894d5927c1effdcccd73"}, - {file = "pandas-3.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8cb3120f0d9467ed95e77f67a75e030b67545bcfa08964e349252d674171def2"}, - {file = "pandas-3.0.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:33fd3e6baa72899746b820c31e4b9688c8e1b7864d7aec2de7ab5035c285277a"}, - {file = "pandas-3.0.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8942e333dc67ceda1095227ad0febb05a3b36535e520154085db632c40ad084"}, - {file = "pandas-3.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:783ac35c4d0fe0effdb0d67161859078618b1b6587a1af15928137525217a721"}, - {file = "pandas-3.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:125eb901e233f155b268bbef9abd9afb5819db74f0e677e89a61b246228c71ac"}, - {file = "pandas-3.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b86d113b6c109df3ce0ad5abbc259fe86a1bd4adfd4a31a89da42f84f65509bb"}, - {file = "pandas-3.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:1c39eab3ad38f2d7a249095f0a3d8f8c22cc0f847e98ccf5bbe732b272e2d9fa"}, - {file = "pandas-3.0.0.tar.gz", hash = "sha256:0facf7e87d38f721f0af46fe70d97373a37701b1c09f7ed7aeeb292ade5c050f"}, -] - -[package.dependencies] -numpy = {version = ">=1.26.0", markers = "python_version < \"3.14\""} -python-dateutil = ">=2.8.2" -tzdata = {version = "*", markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\""} - -[package.extras] -all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)", "beautifulsoup4 (>=4.12.3)", "bottleneck (>=1.4.2)", "fastparquet (>=2024.11.0)", "fsspec (>=2024.10.0)", "gcsfs (>=2024.10.0)", "html5lib (>=1.1)", "hypothesis (>=6.116.0)", "jinja2 (>=3.1.5)", "lxml (>=5.3.0)", "matplotlib (>=3.9.3)", "numba (>=0.60.0)", "numexpr (>=2.10.2)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "psycopg2 (>=2.9.10)", "pyarrow (>=13.0.0)", "pyiceberg (>=0.8.1)", "pymysql (>=1.1.1)", "pyreadstat (>=1.2.8)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)", "python-calamine (>=0.3.0)", "pytz (>=2024.2)", "pyxlsb (>=1.0.10)", "qtpy (>=2.4.2)", "s3fs (>=2024.10.0)", "scipy (>=1.14.1)", "tables (>=3.10.1)", "tabulate (>=0.9.0)", "xarray (>=2024.10.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)", "zstandard (>=0.23.0)"] -aws = ["s3fs (>=2024.10.0)"] -clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.4.2)"] -compression = ["zstandard (>=0.23.0)"] -computation = ["scipy (>=1.14.1)", "xarray (>=2024.10.0)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.5)", "python-calamine (>=0.3.0)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.2.0)"] -feather = ["pyarrow (>=13.0.0)"] -fss = ["fsspec (>=2024.10.0)"] -gcp = ["gcsfs (>=2024.10.0)"] -hdf5 = ["tables (>=3.10.1)"] -html = ["beautifulsoup4 (>=4.12.3)", "html5lib (>=1.1)", "lxml (>=5.3.0)"] -iceberg = ["pyiceberg (>=0.8.1)"] -mysql = ["SQLAlchemy (>=2.0.36)", "pymysql (>=1.1.1)"] -output-formatting = ["jinja2 (>=3.1.5)", "tabulate (>=0.9.0)"] -parquet = ["pyarrow (>=13.0.0)"] -performance = ["bottleneck (>=1.4.2)", "numba (>=0.60.0)", "numexpr (>=2.10.2)"] -plot = ["matplotlib (>=3.9.3)"] -postgresql = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "psycopg2 (>=2.9.10)"] -pyarrow = ["pyarrow (>=13.0.0)"] -spss = ["pyreadstat (>=1.2.8)"] -sql-other = ["SQLAlchemy (>=2.0.36)", "adbc-driver-postgresql (>=1.2.0)", "adbc-driver-sqlite (>=1.2.0)"] -test = ["hypothesis (>=6.116.0)", "pytest (>=8.3.4)", "pytest-xdist (>=3.6.1)"] -timezone = ["pytz (>=2024.2)"] -xml = ["lxml (>=5.3.0)"] - -[[package]] -name = "pandocfilters" -version = "1.5.1" -description = "Utilities for writing pandoc filters in python" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -groups = ["dev"] -files = [ - {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, - {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, -] - -[[package]] -name = "parso" -version = "0.8.5" -description = "A Python Parser" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -files = [ - {file = "parso-0.8.5-py2.py3-none-any.whl", hash = "sha256:646204b5ee239c396d040b90f9e272e9a8017c630092bf59980beb62fd033887"}, - {file = "parso-0.8.5.tar.gz", hash = "sha256:034d7354a9a018bdce352f48b2a8a450f05e9d6ee85db84764e9b6bd96dafe5a"}, -] - -[package.extras] -qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] -testing = ["docopt", "pytest"] - -[[package]] -name = "pathspec" -version = "1.0.4" -description = "Utility library for gitignore style pattern matching of file paths." -optional = false -python-versions = ">=3.9" -groups = ["main", "dev"] -files = [ - {file = "pathspec-1.0.4-py3-none-any.whl", hash = "sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723"}, - {file = "pathspec-1.0.4.tar.gz", hash = "sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645"}, -] - -[package.extras] -hyperscan = ["hyperscan (>=0.7)"] -optional = ["typing-extensions (>=4)"] -re2 = ["google-re2 (>=1.1)"] -tests = ["pytest (>=9)", "typing-extensions (>=4.15)"] - -[[package]] -name = "patsy" -version = "1.0.2" -description = "A Python package for describing statistical models and for building design matrices." -optional = false -python-versions = ">=3.6" -groups = ["main"] -files = [ - {file = "patsy-1.0.2-py2.py3-none-any.whl", hash = "sha256:37bfddbc58fcf0362febb5f54f10743f8b21dd2aa73dec7e7ef59d1b02ae668a"}, - {file = "patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0"}, -] - -[package.dependencies] -numpy = ">=1.4" - -[package.extras] -test = ["pytest", "pytest-cov", "scipy"] - -[[package]] -name = "pexpect" -version = "4.9.0" -description = "Pexpect allows easy control of interactive console applications." -optional = false -python-versions = "*" -groups = ["dev"] -markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\"" -files = [ - {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, - {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, -] - -[package.dependencies] -ptyprocess = ">=0.5" - -[[package]] -name = "pillow" -version = "12.1.0" -description = "Python Imaging Library (fork)" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd"}, - {file = "pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"}, - {file = "pillow-12.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a40905599d8079e09f25027423aed94f2823adaf2868940de991e53a449e14a8"}, - {file = "pillow-12.1.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:92a7fe4225365c5e3a8e598982269c6d6698d3e783b3b1ae979e7819f9cd55c1"}, - {file = "pillow-12.1.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f10c98f49227ed8383d28174ee95155a675c4ed7f85e2e573b04414f7e371bda"}, - {file = "pillow-12.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8637e29d13f478bc4f153d8daa9ffb16455f0a6cb287da1b432fdad2bfbd66c7"}, - {file = "pillow-12.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:21e686a21078b0f9cb8c8a961d99e6a4ddb88e0fc5ea6e130172ddddc2e5221a"}, - {file = "pillow-12.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2415373395a831f53933c23ce051021e79c8cd7979822d8cc478547a3f4da8ef"}, - {file = "pillow-12.1.0-cp310-cp310-win32.whl", hash = "sha256:e75d3dba8fc1ddfec0cd752108f93b83b4f8d6ab40e524a95d35f016b9683b09"}, - {file = "pillow-12.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:64efdf00c09e31efd754448a383ea241f55a994fd079866b92d2bbff598aad91"}, - {file = "pillow-12.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:f188028b5af6b8fb2e9a76ac0f841a575bd1bd396e46ef0840d9b88a48fdbcea"}, - {file = "pillow-12.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:a83e0850cb8f5ac975291ebfc4170ba481f41a28065277f7f735c202cd8e0af3"}, - {file = "pillow-12.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b6e53e82ec2db0717eabb276aa56cf4e500c9a7cec2c2e189b55c24f65a3e8c0"}, - {file = "pillow-12.1.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:40a8e3b9e8773876d6e30daed22f016509e3987bab61b3b7fe309d7019a87451"}, - {file = "pillow-12.1.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:800429ac32c9b72909c671aaf17ecd13110f823ddb7db4dfef412a5587c2c24e"}, - {file = "pillow-12.1.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b022eaaf709541b391ee069f0022ee5b36c709df71986e3f7be312e46f42c84"}, - {file = "pillow-12.1.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f345e7bc9d7f368887c712aa5054558bad44d2a301ddf9248599f4161abc7c0"}, - {file = "pillow-12.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d70347c8a5b7ccd803ec0c85c8709f036e6348f1e6a5bf048ecd9c64d3550b8b"}, - {file = "pillow-12.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1fcc52d86ce7a34fd17cb04e87cfdb164648a3662a6f20565910a99653d66c18"}, - {file = "pillow-12.1.0-cp311-cp311-win32.whl", hash = "sha256:3ffaa2f0659e2f740473bcf03c702c39a8d4b2b7ffc629052028764324842c64"}, - {file = "pillow-12.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:806f3987ffe10e867bab0ddad45df1148a2b98221798457fa097ad85d6e8bc75"}, - {file = "pillow-12.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:9f5fefaca968e700ad1a4a9de98bf0869a94e397fe3524c4c9450c1445252304"}, - {file = "pillow-12.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a332ac4ccb84b6dde65dbace8431f3af08874bf9770719d32a635c4ef411b18b"}, - {file = "pillow-12.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:907bfa8a9cb790748a9aa4513e37c88c59660da3bcfffbd24a7d9e6abf224551"}, - {file = "pillow-12.1.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:efdc140e7b63b8f739d09a99033aa430accce485ff78e6d311973a67b6bf3208"}, - {file = "pillow-12.1.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bef9768cab184e7ae6e559c032e95ba8d07b3023c289f79a2bd36e8bf85605a5"}, - {file = "pillow-12.1.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:742aea052cf5ab5034a53c3846165bc3ce88d7c38e954120db0ab867ca242661"}, - {file = "pillow-12.1.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6dfc2af5b082b635af6e08e0d1f9f1c4e04d17d4e2ca0ef96131e85eda6eb17"}, - {file = "pillow-12.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:609e89d9f90b581c8d16358c9087df76024cf058fa693dd3e1e1620823f39670"}, - {file = "pillow-12.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:43b4899cfd091a9693a1278c4982f3e50f7fb7cff5153b05174b4afc9593b616"}, - {file = "pillow-12.1.0-cp312-cp312-win32.whl", hash = "sha256:aa0c9cc0b82b14766a99fbe6084409972266e82f459821cd26997a488a7261a7"}, - {file = "pillow-12.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:d70534cea9e7966169ad29a903b99fc507e932069a881d0965a1a84bb57f6c6d"}, - {file = "pillow-12.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:65b80c1ee7e14a87d6a068dd3b0aea268ffcabfe0498d38661b00c5b4b22e74c"}, - {file = "pillow-12.1.0-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:7b5dd7cbae20285cdb597b10eb5a2c13aa9de6cde9bb64a3c1317427b1db1ae1"}, - {file = "pillow-12.1.0-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:29a4cef9cb672363926f0470afc516dbf7305a14d8c54f7abbb5c199cd8f8179"}, - {file = "pillow-12.1.0-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:681088909d7e8fa9e31b9799aaa59ba5234c58e5e4f1951b4c4d1082a2e980e0"}, - {file = "pillow-12.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:983976c2ab753166dc66d36af6e8ec15bb511e4a25856e2227e5f7e00a160587"}, - {file = "pillow-12.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:db44d5c160a90df2d24a24760bbd37607d53da0b34fb546c4c232af7192298ac"}, - {file = "pillow-12.1.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6b7a9d1db5dad90e2991645874f708e87d9a3c370c243c2d7684d28f7e133e6b"}, - {file = "pillow-12.1.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6258f3260986990ba2fa8a874f8b6e808cf5abb51a94015ca3dc3c68aa4f30ea"}, - {file = "pillow-12.1.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e115c15e3bc727b1ca3e641a909f77f8ca72a64fff150f666fcc85e57701c26c"}, - {file = "pillow-12.1.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6741e6f3074a35e47c77b23a4e4f2d90db3ed905cb1c5e6e0d49bff2045632bc"}, - {file = "pillow-12.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:935b9d1aed48fcfb3f838caac506f38e29621b44ccc4f8a64d575cb1b2a88644"}, - {file = "pillow-12.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5fee4c04aad8932da9f8f710af2c1a15a83582cfb884152a9caa79d4efcdbf9c"}, - {file = "pillow-12.1.0-cp313-cp313-win32.whl", hash = "sha256:a786bf667724d84aa29b5db1c61b7bfdde380202aaca12c3461afd6b71743171"}, - {file = "pillow-12.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:461f9dfdafa394c59cd6d818bdfdbab4028b83b02caadaff0ffd433faf4c9a7a"}, - {file = "pillow-12.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:9212d6b86917a2300669511ed094a9406888362e085f2431a7da985a6b124f45"}, - {file = "pillow-12.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:00162e9ca6d22b7c3ee8e61faa3c3253cd19b6a37f126cad04f2f88b306f557d"}, - {file = "pillow-12.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7d6daa89a00b58c37cb1747ec9fb7ac3bc5ffd5949f5888657dfddde6d1312e0"}, - {file = "pillow-12.1.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e2479c7f02f9d505682dc47df8c0ea1fc5e264c4d1629a5d63fe3e2334b89554"}, - {file = "pillow-12.1.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f188d580bd870cda1e15183790d1cc2fa78f666e76077d103edf048eed9c356e"}, - {file = "pillow-12.1.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0fde7ec5538ab5095cc02df38ee99b0443ff0e1c847a045554cf5f9af1f4aa82"}, - {file = "pillow-12.1.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0ed07dca4a8464bada6139ab38f5382f83e5f111698caf3191cb8dbf27d908b4"}, - {file = "pillow-12.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:f45bd71d1fa5e5749587613037b172e0b3b23159d1c00ef2fc920da6f470e6f0"}, - {file = "pillow-12.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:277518bf4fe74aa91489e1b20577473b19ee70fb97c374aa50830b279f25841b"}, - {file = "pillow-12.1.0-cp313-cp313t-win32.whl", hash = "sha256:7315f9137087c4e0ee73a761b163fc9aa3b19f5f606a7fc08d83fd3e4379af65"}, - {file = "pillow-12.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:0ddedfaa8b5f0b4ffbc2fa87b556dc59f6bb4ecb14a53b33f9189713ae8053c0"}, - {file = "pillow-12.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:80941e6d573197a0c28f394753de529bb436b1ca990ed6e765cf42426abc39f8"}, - {file = "pillow-12.1.0-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:5cb7bc1966d031aec37ddb9dcf15c2da5b2e9f7cc3ca7c54473a20a927e1eb91"}, - {file = "pillow-12.1.0-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:97e9993d5ed946aba26baf9c1e8cf18adbab584b99f452ee72f7ee8acb882796"}, - {file = "pillow-12.1.0-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:414b9a78e14ffeb98128863314e62c3f24b8a86081066625700b7985b3f529bd"}, - {file = "pillow-12.1.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:e6bdb408f7c9dd2a5ff2b14a3b0bb6d4deb29fb9961e6eb3ae2031ae9a5cec13"}, - {file = "pillow-12.1.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:3413c2ae377550f5487991d444428f1a8ae92784aac79caa8b1e3b89b175f77e"}, - {file = "pillow-12.1.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e5dcbe95016e88437ecf33544ba5db21ef1b8dd6e1b434a2cb2a3d605299e643"}, - {file = "pillow-12.1.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d0a7735df32ccbcc98b98a1ac785cc4b19b580be1bdf0aeb5c03223220ea09d5"}, - {file = "pillow-12.1.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c27407a2d1b96774cbc4a7594129cc027339fd800cd081e44497722ea1179de"}, - {file = "pillow-12.1.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15c794d74303828eaa957ff8070846d0efe8c630901a1c753fdc63850e19ecd9"}, - {file = "pillow-12.1.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c990547452ee2800d8506c4150280757f88532f3de2a58e3022e9b179107862a"}, - {file = "pillow-12.1.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b63e13dd27da389ed9475b3d28510f0f954bca0041e8e551b2a4eb1eab56a39a"}, - {file = "pillow-12.1.0-cp314-cp314-win32.whl", hash = "sha256:1a949604f73eb07a8adab38c4fe50791f9919344398bdc8ac6b307f755fc7030"}, - {file = "pillow-12.1.0-cp314-cp314-win_amd64.whl", hash = "sha256:4f9f6a650743f0ddee5593ac9e954ba1bdbc5e150bc066586d4f26127853ab94"}, - {file = "pillow-12.1.0-cp314-cp314-win_arm64.whl", hash = "sha256:808b99604f7873c800c4840f55ff389936ef1948e4e87645eaf3fccbc8477ac4"}, - {file = "pillow-12.1.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc11908616c8a283cf7d664f77411a5ed2a02009b0097ff8abbba5e79128ccf2"}, - {file = "pillow-12.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:896866d2d436563fa2a43a9d72f417874f16b5545955c54a64941e87c1376c61"}, - {file = "pillow-12.1.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8e178e3e99d3c0ea8fc64b88447f7cac8ccf058af422a6cedc690d0eadd98c51"}, - {file = "pillow-12.1.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:079af2fb0c599c2ec144ba2c02766d1b55498e373b3ac64687e43849fbbef5bc"}, - {file = "pillow-12.1.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdec5e43377761c5dbca620efb69a77f6855c5a379e32ac5b158f54c84212b14"}, - {file = "pillow-12.1.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:565c986f4b45c020f5421a4cea13ef294dde9509a8577f29b2fc5edc7587fff8"}, - {file = "pillow-12.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:43aca0a55ce1eefc0aefa6253661cb54571857b1a7b2964bd8a1e3ef4b729924"}, - {file = "pillow-12.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0deedf2ea233722476b3a81e8cdfbad786f7adbed5d848469fa59fe52396e4ef"}, - {file = "pillow-12.1.0-cp314-cp314t-win32.whl", hash = "sha256:b17fbdbe01c196e7e159aacb889e091f28e61020a8abeac07b68079b6e626988"}, - {file = "pillow-12.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27b9baecb428899db6c0de572d6d305cfaf38ca1596b5c0542a5182e3e74e8c6"}, - {file = "pillow-12.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f61333d817698bdcdd0f9d7793e365ac3d2a21c1f1eb02b32ad6aefb8d8ea831"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ca94b6aac0d7af2a10ba08c0f888b3d5114439b6b3ef39968378723622fed377"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:351889afef0f485b84078ea40fe33727a0492b9af3904661b0abbafee0355b72"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb0984b30e973f7e2884362b7d23d0a348c7143ee559f38ef3eaab640144204c"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:84cabc7095dd535ca934d57e9ce2a72ffd216e435a84acb06b2277b1de2689bd"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53d8b764726d3af1a138dd353116f774e3862ec7e3794e0c8781e30db0f35dfc"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5da841d81b1a05ef940a8567da92decaa15bc4d7dedb540a8c219ad83d91808a"}, - {file = "pillow-12.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:75af0b4c229ac519b155028fa1be632d812a519abba9b46b20e50c6caa184f19"}, - {file = "pillow-12.1.0.tar.gz", hash = "sha256:5c5ae0a06e9ea030ab786b0251b32c7e4ce10e58d983c0d5c56029455180b5b9"}, -] - -[package.extras] -docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] -fpx = ["olefile"] -mic = ["olefile"] -test-arrow = ["arro3-compute", "arro3-core", "nanoarrow", "pyarrow"] -tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma (>=5)", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"] -xmp = ["defusedxml"] - -[[package]] -name = "pip" -version = "25.3" -description = "The PyPA recommended tool for installing Python packages." -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "pip-25.3-py3-none-any.whl", hash = "sha256:9655943313a94722b7774661c21049070f6bbb0a1516bf02f7c8d5d9201514cd"}, - {file = "pip-25.3.tar.gz", hash = "sha256:8d0538dbbd7babbd207f261ed969c65de439f6bc9e5dbd3b3b9a77f25d95f343"}, -] - -[[package]] -name = "platformdirs" -version = "4.5.1" -description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." -optional = false -python-versions = ">=3.10" -groups = ["main", "dev", "shiny"] -files = [ - {file = "platformdirs-4.5.1-py3-none-any.whl", hash = "sha256:d03afa3963c806a9bed9d5125c8f4cb2fdaf74a55ab60e5d59b3fde758104d31"}, - {file = "platformdirs-4.5.1.tar.gz", hash = "sha256:61d5cdcc6065745cdd94f0f878977f8de9437be93de97c1c12f853c9c0cdcbda"}, -] - -[package.extras] -docs = ["furo (>=2025.9.25)", "proselint (>=0.14)", "sphinx (>=8.2.3)", "sphinx-autodoc-typehints (>=3.2)"] -test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.4.2)", "pytest-cov (>=7)", "pytest-mock (>=3.15.1)"] -type = ["mypy (>=1.18.2)"] - -[[package]] -name = "pluggy" -version = "1.6.0" -description = "plugin and hook calling mechanisms for python" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"}, - {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"}, -] - -[package.extras] -dev = ["pre-commit", "tox"] -testing = ["coverage", "pytest", "pytest-benchmark"] - -[[package]] -name = "pooch" -version = "1.8.2" -description = "A friend to fetch your data files" -optional = false -python-versions = ">=3.7" -groups = ["main"] -files = [ - {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"}, - {file = "pooch-1.8.2.tar.gz", hash = "sha256:76561f0de68a01da4df6af38e9955c4c9d1a5c90da73f7e40276a5728ec83d10"}, -] - -[package.dependencies] -packaging = ">=20.0" -platformdirs = ">=2.5.0" -requests = ">=2.19.0" - -[package.extras] -progress = ["tqdm (>=4.41.0,<5.0.0)"] -sftp = ["paramiko (>=2.7.0)"] -xxhash = ["xxhash (>=1.4.3)"] - -[[package]] -name = "prometheus-client" -version = "0.24.1" -description = "Python client for the Prometheus monitoring system." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "prometheus_client-0.24.1-py3-none-any.whl", hash = "sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055"}, - {file = "prometheus_client-0.24.1.tar.gz", hash = "sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9"}, -] - -[package.extras] -aiohttp = ["aiohttp"] -django = ["django"] -twisted = ["twisted"] - -[[package]] -name = "prompt-toolkit" -version = "3.0.52" -description = "Library for building powerful interactive command lines in Python" -optional = false -python-versions = ">=3.8" -groups = ["dev", "shiny"] -files = [ - {file = "prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955"}, - {file = "prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855"}, -] -markers = {shiny = "platform_system != \"Emscripten\""} - -[package.dependencies] -wcwidth = "*" - -[[package]] -name = "psutil" -version = "7.2.2" -description = "Cross-platform lib for process and system monitoring." -optional = false -python-versions = ">=3.6" -groups = ["dev"] -files = [ - {file = "psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b"}, - {file = "psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea"}, - {file = "psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63"}, - {file = "psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312"}, - {file = "psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b"}, - {file = "psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9"}, - {file = "psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00"}, - {file = "psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9"}, - {file = "psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a"}, - {file = "psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf"}, - {file = "psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1"}, - {file = "psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841"}, - {file = "psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486"}, - {file = "psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979"}, - {file = "psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9"}, - {file = "psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e"}, - {file = "psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8"}, - {file = "psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc"}, - {file = "psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988"}, - {file = "psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee"}, - {file = "psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372"}, -] - -[package.extras] -dev = ["abi3audit", "black", "check-manifest", "colorama ; os_name == \"nt\"", "coverage", "packaging", "psleak", "pylint", "pyperf", "pypinfo", "pyreadline3 ; os_name == \"nt\"", "pytest", "pytest-cov", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "validate-pyproject[all]", "virtualenv", "vulture", "wheel", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""] -test = ["psleak", "pytest", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "setuptools", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""] - -[[package]] -name = "ptyprocess" -version = "0.7.0" -description = "Run a subprocess in a pseudo terminal" -optional = false -python-versions = "*" -groups = ["dev"] -markers = "os_name != \"nt\" or sys_platform != \"win32\" and sys_platform != \"emscripten\"" -files = [ - {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, - {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, -] - -[[package]] -name = "pure-eval" -version = "0.2.3" -description = "Safely evaluate AST nodes without side effects" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, - {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, -] - -[package.extras] -tests = ["pytest"] - -[[package]] -name = "pyarrow" -version = "23.0.0" -description = "Python library for Apache Arrow" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cbdc2bf5947aa4d462adcf8453cf04aee2f7932653cb67a27acd96e5e8528a67"}, - {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:4d38c836930ce15cd31dce20114b21ba082da231c884bdc0a7b53e1477fe7f07"}, - {file = "pyarrow-23.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:4222ff8f76919ecf6c716175a0e5fddb5599faeed4c56d9ea41a2c42be4998b2"}, - {file = "pyarrow-23.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:87f06159cbe38125852657716889296c83c37b4d09a5e58f3d10245fd1f69795"}, - {file = "pyarrow-23.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1675c374570d8b91ea6d4edd4608fa55951acd44e0c31bd146e091b4005de24f"}, - {file = "pyarrow-23.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:247374428fde4f668f138b04031a7e7077ba5fa0b5b1722fdf89a017bf0b7ee0"}, - {file = "pyarrow-23.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:de53b1bd3b88a2ee93c9af412c903e57e738c083be4f6392288294513cd8b2c1"}, - {file = "pyarrow-23.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5574d541923efcbfdf1294a2746ae3b8c2498a2dc6cd477882f6f4e7b1ac08d3"}, - {file = "pyarrow-23.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:2ef0075c2488932e9d3c2eb3482f9459c4be629aa673b725d5e3cf18f777f8e4"}, - {file = "pyarrow-23.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:65666fc269669af1ef1c14478c52222a2aa5c907f28b68fb50a203c777e4f60c"}, - {file = "pyarrow-23.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:4d85cb6177198f3812db4788e394b757223f60d9a9f5ad6634b3e32be1525803"}, - {file = "pyarrow-23.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1a9ff6fa4141c24a03a1a434c63c8fa97ce70f8f36bccabc18ebba905ddf0f17"}, - {file = "pyarrow-23.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:84839d060a54ae734eb60a756aeacb62885244aaa282f3c968f5972ecc7b1ecc"}, - {file = "pyarrow-23.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:a149a647dbfe928ce8830a713612aa0b16e22c64feac9d1761529778e4d4eaa5"}, - {file = "pyarrow-23.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5961a9f646c232697c24f54d3419e69b4261ba8a8b66b0ac54a1851faffcbab8"}, - {file = "pyarrow-23.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:632b3e7c3d232f41d64e1a4a043fb82d44f8a349f339a1188c6a0dd9d2d47d8a"}, - {file = "pyarrow-23.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:76242c846db1411f1d6c2cc3823be6b86b40567ee24493344f8226ba34a81333"}, - {file = "pyarrow-23.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b73519f8b52ae28127000986bf228fda781e81d3095cd2d3ece76eb5cf760e1b"}, - {file = "pyarrow-23.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:068701f6823449b1b6469120f399a1239766b117d211c5d2519d4ed5861f75de"}, - {file = "pyarrow-23.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1801ba947015d10e23bca9dd6ef5d0e9064a81569a89b6e9a63b59224fd060df"}, - {file = "pyarrow-23.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:52265266201ec25b6839bf6bd4ea918ca6d50f31d13e1cf200b4261cd11dc25c"}, - {file = "pyarrow-23.0.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:ad96a597547af7827342ffb3c503c8316e5043bb09b47a84885ce39394c96e00"}, - {file = "pyarrow-23.0.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:b9edf990df77c2901e79608f08c13fbde60202334a4fcadb15c1f57bf7afee43"}, - {file = "pyarrow-23.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:36d1b5bc6ddcaff0083ceec7e2561ed61a51f49cce8be079ee8ed406acb6fdef"}, - {file = "pyarrow-23.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:4292b889cd224f403304ddda8b63a36e60f92911f89927ec8d98021845ea21be"}, - {file = "pyarrow-23.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dfd9e133e60eaa847fd80530a1b89a052f09f695d0b9c34c235ea6b2e0924cf7"}, - {file = "pyarrow-23.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832141cc09fac6aab1cd3719951d23301396968de87080c57c9a7634e0ecd068"}, - {file = "pyarrow-23.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:7a7d067c9a88faca655c71bcc30ee2782038d59c802d57950826a07f60d83c4c"}, - {file = "pyarrow-23.0.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:ce9486e0535a843cf85d990e2ec5820a47918235183a5c7b8b97ed7e92c2d47d"}, - {file = "pyarrow-23.0.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:075c29aeaa685fd1182992a9ed2499c66f084ee54eea47da3eb76e125e06064c"}, - {file = "pyarrow-23.0.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:799965a5379589510d888be3094c2296efd186a17ca1cef5b77703d4d5121f53"}, - {file = "pyarrow-23.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:ef7cac8fe6fccd8b9e7617bfac785b0371a7fe26af59463074e4882747145d40"}, - {file = "pyarrow-23.0.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15a414f710dc927132dd67c361f78c194447479555af57317066ee5116b90e9e"}, - {file = "pyarrow-23.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e0d2e6915eca7d786be6a77bf227fbc06d825a75b5b5fe9bcbef121dec32685"}, - {file = "pyarrow-23.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:4b317ea6e800b5704e5e5929acb6e2dc13e9276b708ea97a39eb8b345aa2658b"}, - {file = "pyarrow-23.0.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:20b187ed9550d233a872074159f765f52f9d92973191cd4b93f293a19efbe377"}, - {file = "pyarrow-23.0.0-cp314-cp314-macosx_12_0_x86_64.whl", hash = "sha256:18ec84e839b493c3886b9b5e06861962ab4adfaeb79b81c76afbd8d84c7d5fda"}, - {file = "pyarrow-23.0.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:e438dd3f33894e34fd02b26bd12a32d30d006f5852315f611aa4add6c7fab4bc"}, - {file = "pyarrow-23.0.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:a244279f240c81f135631be91146d7fa0e9e840e1dfed2aba8483eba25cd98e6"}, - {file = "pyarrow-23.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c4692e83e42438dba512a570c6eaa42be2f8b6c0f492aea27dec54bdc495103a"}, - {file = "pyarrow-23.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ae7f30f898dfe44ea69654a35c93e8da4cef6606dc4c72394068fd95f8e9f54a"}, - {file = "pyarrow-23.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:5b86bb649e4112fb0614294b7d0a175c7513738876b89655605ebb87c804f861"}, - {file = "pyarrow-23.0.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:ebc017d765d71d80a3f8584ca0566b53e40464586585ac64176115baa0ada7d3"}, - {file = "pyarrow-23.0.0-cp314-cp314t-macosx_12_0_x86_64.whl", hash = "sha256:0800cc58a6d17d159df823f87ad66cefebf105b982493d4bad03ee7fab84b993"}, - {file = "pyarrow-23.0.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:3a7c68c722da9bb5b0f8c10e3eae71d9825a4b429b40b32709df5d1fa55beb3d"}, - {file = "pyarrow-23.0.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:bd5556c24622df90551063ea41f559b714aa63ca953db884cfb958559087a14e"}, - {file = "pyarrow-23.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:54810f6e6afc4ffee7c2e0051b61722fbea9a4961b46192dcfae8ea12fa09059"}, - {file = "pyarrow-23.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:14de7d48052cf4b0ed174533eafa3cfe0711b8076ad70bede32cf59f744f0d7c"}, - {file = "pyarrow-23.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:427deac1f535830a744a4f04a6ac183a64fcac4341b3f618e693c41b7b98d2b0"}, - {file = "pyarrow-23.0.0.tar.gz", hash = "sha256:180e3150e7edfcd182d3d9afba72f7cf19839a497cc76555a8dce998a8f67615"}, -] - -[[package]] -name = "pycparser" -version = "3.0" -description = "C parser in Python" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -markers = "implementation_name != \"PyPy\" or implementation_name == \"pypy\" and python_version >= \"3.12\"" -files = [ - {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"}, - {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"}, -] - -[[package]] -name = "pygments" -version = "2.19.2" -description = "Pygments is a syntax highlighting package written in Python." -optional = false -python-versions = ">=3.8" -groups = ["main", "dev"] -files = [ - {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, - {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, -] - -[package.extras] -windows-terminal = ["colorama (>=0.4.6)"] - -[[package]] -name = "pylint" -version = "4.0.4" -description = "python code static checker" -optional = false -python-versions = ">=3.10.0" -groups = ["dev"] -files = [ - {file = "pylint-4.0.4-py3-none-any.whl", hash = "sha256:63e06a37d5922555ee2c20963eb42559918c20bd2b21244e4ef426e7c43b92e0"}, - {file = "pylint-4.0.4.tar.gz", hash = "sha256:d9b71674e19b1c36d79265b5887bf8e55278cbe236c9e95d22dc82cf044fdbd2"}, -] - -[package.dependencies] -astroid = ">=4.0.2,<=4.1.dev0" -colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""} -dill = [ - {version = ">=0.2", markers = "python_version < \"3.11\""}, - {version = ">=0.3.7", markers = "python_version >= \"3.12\""}, - {version = ">=0.3.6", markers = "python_version == \"3.11\""}, -] -isort = ">=5,<5.13 || >5.13,<8" -mccabe = ">=0.6,<0.8" -platformdirs = ">=2.2" -tomli = {version = ">=1.1", markers = "python_version < \"3.11\""} -tomlkit = ">=0.10.1" - -[package.extras] -spelling = ["pyenchant (>=3.2,<4.0)"] -testutils = ["gitpython (>3)"] - -[[package]] -name = "pymatreader" -version = "1.1.0" -description = "Convenient reader for Matlab mat files" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "pymatreader-1.1.0-py3-none-any.whl", hash = "sha256:0daac669d2eeef3c89d7c9d810e6d8fb1362d7cbf67d1e32aaba2528eb89d205"}, - {file = "pymatreader-1.1.0.tar.gz", hash = "sha256:d9fee72a8436557273a9ad669de3ed5582782467e2289a131396f575862638ff"}, -] - -[package.dependencies] -h5py = "*" -numpy = "*" -scipy = ">=1.13.1" -xmltodict = "*" - -[[package]] -name = "pymdown-extensions" -version = "10.20.1" -description = "Extension pack for Python Markdown." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pymdown_extensions-10.20.1-py3-none-any.whl", hash = "sha256:24af7feacbca56504b313b7b418c4f5e1317bb5fea60f03d57be7fcc40912aa0"}, - {file = "pymdown_extensions-10.20.1.tar.gz", hash = "sha256:e7e39c865727338d434b55f1dd8da51febcffcaebd6e1a0b9c836243f660740a"}, -] - -[package.dependencies] -markdown = ">=3.6" -pyyaml = "*" - -[package.extras] -extra = ["pygments (>=2.19.1)"] - -[[package]] -name = "pyparsing" -version = "3.3.2" -description = "pyparsing - Classes and methods to define and execute parsing grammars" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, - {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, -] - -[package.extras] -diagrams = ["jinja2", "railroad-diagrams"] - -[[package]] -name = "pyqt6" -version = "6.10.2" -description = "Python bindings for the Qt cross platform application toolkit" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pyqt6-6.10.2-cp39-abi3-macosx_10_14_universal2.whl", hash = "sha256:37ae7c1183fe4dd0c6aefd2006a35731245de1cb6f817bb9e414a3e4848dfd6d"}, - {file = "pyqt6-6.10.2-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:78e1b3d5763e4cbc84485aef600e0aba5e1932fd263b716f92cd1a40dfa5e924"}, - {file = "pyqt6-6.10.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:bbc3af541bbecd27301bfe69fe445aa1611a9b490bd3de77306b12df632f7ec6"}, - {file = "pyqt6-6.10.2-cp39-abi3-win_amd64.whl", hash = "sha256:bd328cb70bc382c48861cd5f0a11b2b8ae6f5692d5a2d6679ba52785dced327b"}, - {file = "pyqt6-6.10.2-cp39-abi3-win_arm64.whl", hash = "sha256:7901ba1df024b7ee9fdacfb2b7661aeb3749ae8b0bef65428077de3e0450eabb"}, - {file = "pyqt6-6.10.2.tar.gz", hash = "sha256:6c0db5d8cbb9a3e7e2b5b51d0ff3f283121fa27b864db6d2f35b663c9be5cc83"}, -] - -[package.dependencies] -PyQt6-Qt6 = ">=6.10.0,<6.11.0" -PyQt6-sip = ">=13.8,<14" - -[[package]] -name = "pyqt6-qt6" -version = "6.10.2" -description = "The subset of a Qt installation needed by PyQt6." -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "pyqt6_qt6-6.10.2-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:5761cfccc721da2311c3f1213577f0ff1df07bbbbe3fa3a209a256b82cf057e3"}, - {file = "pyqt6_qt6-6.10.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6dda853a8db1b8d1a2ddbbe76cc6c3aa86614cad14056bd3c0435d8feea73b2d"}, - {file = "pyqt6_qt6-6.10.2-py3-none-manylinux_2_34_x86_64.whl", hash = "sha256:19c10b5f0806e9f9bac2c9759bd5d7d19a78967f330fd60a2db409177fa76e49"}, - {file = "pyqt6_qt6-6.10.2-py3-none-manylinux_2_39_aarch64.whl", hash = "sha256:2e60d616861ca4565cd295418d605975aa2dc407ba4b94c1586a70c92e9cb052"}, - {file = "pyqt6_qt6-6.10.2-py3-none-win_amd64.whl", hash = "sha256:c4b7f7d66cc58bddf1bc1ca28dfcf7a45f58cfcb11d81d13a0510409dd4957ac"}, - {file = "pyqt6_qt6-6.10.2-py3-none-win_arm64.whl", hash = "sha256:7164a6f0c1335358a3026df9865c8f75395b01f60f0dcd2f66c029ec16fc83d2"}, -] - -[[package]] -name = "pyqt6-sip" -version = "13.11.0" -description = "The sip module support for PyQt6" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "pyqt6_sip-13.11.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:90b597feae3c374eb1af7bfc515836aa39829ff3a1dffa5fe92ba139d273946a"}, - {file = "pyqt6_sip-13.11.0-cp310-cp310-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:261f8f7063c862863f05629219be08be9bddd01d1a83181f8439d19852ae1571"}, - {file = "pyqt6_sip-13.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8532a5612762a5c1859e4b38359f847e07596ec210942221e22b10df5327fcc"}, - {file = "pyqt6_sip-13.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:87edd15791c7d20fa3ffc68e6f4825f989a6510c11019eb5a11c1622b8802f8d"}, - {file = "pyqt6_sip-13.11.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6e329ccc3a6502e2b774ef62ab843ac8b3f32191324e8230e6dde78c1c0df5a8"}, - {file = "pyqt6_sip-13.11.0-cp311-cp311-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:364424dacdee9e0a2a723646b5608139629ad9bde318dd755d86f5e0ba123c79"}, - {file = "pyqt6_sip-13.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:132ee69d935c14bb4ced2a811ef333200c7aa50324bd7caadefd7d5874495225"}, - {file = "pyqt6_sip-13.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:341e52e702d41872515794dea6265ee56b8625c9d3c74ea0468124f0bd675f8b"}, - {file = "pyqt6_sip-13.11.0-cp311-cp311-win_arm64.whl", hash = "sha256:489fdd0910f8c1d5d40255b4cd7b45f4a4549f9a599512bc6b2cc8d384e28852"}, - {file = "pyqt6_sip-13.11.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:6b3267cd93b7f4da6fdf9a6a26f3baed8faae06e5cdd76235f2acc2116c40a54"}, - {file = "pyqt6_sip-13.11.0-cp312-cp312-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c30248d9bbe54c46a78e5d549da50295ecd6584b965597f751e272f000fb8527"}, - {file = "pyqt6_sip-13.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c367b53a91e575ef66c1375f899713bdaf0a8b2c64b95ac226e9644854a4984"}, - {file = "pyqt6_sip-13.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:077958105c2ea2f62be2f1a7611ff8bd44cb52fb5ea8fc8c59ea949144acb7b5"}, - {file = "pyqt6_sip-13.11.0-cp312-cp312-win_arm64.whl", hash = "sha256:52812471619d3d3750b940d7d124cd0954107656924921ac177e098ba36362fb"}, - {file = "pyqt6_sip-13.11.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:929716eebde1a64ffdb6b1715db6a22aefd5634d6df84858c7deb5e85be84fdf"}, - {file = "pyqt6_sip-13.11.0-cp313-cp313-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a75144e8a0bcf9d1a9069011890401748af353749f1de1b6a314b880781edf9d"}, - {file = "pyqt6_sip-13.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8082b5f57ffad5dddf5efcf0ef5eaf94841395aa4e7c374c79ef24cf49b0f0ce"}, - {file = "pyqt6_sip-13.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:8d49b5bf3d8d36cd7db93ddc54cd09dbba96a3fd926e445ef75499b41e47b5a3"}, - {file = "pyqt6_sip-13.11.0-cp313-cp313-win_arm64.whl", hash = "sha256:293eac1b53c66c54b03266cc30015ec77454af679043a4f188b9bb80a9656996"}, - {file = "pyqt6_sip-13.11.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:4dc9c4df24af0571423c3e85b5c008bad42ed48558eef80fbc3e5d30274c5abb"}, - {file = "pyqt6_sip-13.11.0-cp314-cp314-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:c974d5a193f32e55e746e9b63138503163ac63500dbb1fd67233d8a8d71369bd"}, - {file = "pyqt6_sip-13.11.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4284540ffccd8349763ddce3518264dde62f20556720d4061b9c895e09011ca0"}, - {file = "pyqt6_sip-13.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:9bd81cb351640abc803ea2fe7262b5adea28615c9b96fd103d1b6f3459937211"}, - {file = "pyqt6_sip-13.11.0-cp314-cp314-win_arm64.whl", hash = "sha256:cd95ec98f8edb15bcea832b8657809f69d758bc4151cc6fd7790c0181949e45f"}, - {file = "pyqt6_sip-13.11.0.tar.gz", hash = "sha256:d463af37738bda1856c9ef513e5620a37b7a005e9d589c986c3304db4a8a14d3"}, -] - -[[package]] -name = "pytest" -version = "9.0.2" -description = "pytest: simple powerful testing with Python" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b"}, - {file = "pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11"}, -] - -[package.dependencies] -colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""} -exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""} -iniconfig = ">=1.0.1" -packaging = ">=22" -pluggy = ">=1.5,<2" -pygments = ">=2.7.2" -tomli = {version = ">=1", markers = "python_version < \"3.11\""} - -[package.extras] -dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"] - -[[package]] -name = "pytest-mock" -version = "3.15.1" -description = "Thin-wrapper around the mock package for easier use with pytest" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pytest_mock-3.15.1-py3-none-any.whl", hash = "sha256:0a25e2eb88fe5168d535041d09a4529a188176ae608a6d249ee65abc0949630d"}, - {file = "pytest_mock-3.15.1.tar.gz", hash = "sha256:1849a238f6f396da19762269de72cb1814ab44416fa73a8686deac10b0d87a0f"}, -] - -[package.dependencies] -pytest = ">=6.2.5" - -[package.extras] -dev = ["pre-commit", "pytest-asyncio", "tox"] - -[[package]] -name = "pytest-watch" -version = "4.2.0" -description = "Local continuous test runner with pytest and watchdog." -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "pytest-watch-4.2.0.tar.gz", hash = "sha256:06136f03d5b361718b8d0d234042f7b2f203910d8568f63df2f866b547b3d4b9"}, -] - -[package.dependencies] -colorama = ">=0.3.3" -docopt = ">=0.4.0" -pytest = ">=2.6.4" -watchdog = ">=0.6.0" - -[[package]] -name = "python-dateutil" -version = "2.9.0.post0" -description = "Extensions to the standard Python datetime module" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -groups = ["main", "dev"] -files = [ - {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, - {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, -] - -[package.dependencies] -six = ">=1.5" - -[[package]] -name = "python-json-logger" -version = "4.0.0" -description = "JSON Log Formatter for the Python Logging Package" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2"}, - {file = "python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f"}, -] - -[package.extras] -dev = ["backports.zoneinfo ; python_version < \"3.9\"", "black", "build", "freezegun", "mdx_truly_sane_lists", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-material (>=8.5)", "mkdocstrings[python]", "msgspec ; implementation_name != \"pypy\"", "mypy", "orjson ; implementation_name != \"pypy\"", "pylint", "pytest", "tzdata", "validate-pyproject[all]"] - -[[package]] -name = "python-multipart" -version = "0.0.22" -description = "A streaming multipart parser for Python" -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -markers = "platform_system != \"Emscripten\"" -files = [ - {file = "python_multipart-0.0.22-py3-none-any.whl", hash = "sha256:2b2cd894c83d21bf49d702499531c7bafd057d730c201782048f7945d82de155"}, - {file = "python_multipart-0.0.22.tar.gz", hash = "sha256:7340bef99a7e0032613f56dc36027b959fd3b30a787ed62d310e951f7c3a3a58"}, -] - -[[package]] -name = "pytkdocs" -version = "0.16.5" -description = "Load Python objects documentation." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pytkdocs-0.16.5-py3-none-any.whl", hash = "sha256:7feb2535a8582d891fa5353cf2f4ecc7840915e631d322dbcbc1c8cc605da23a"}, - {file = "pytkdocs-0.16.5.tar.gz", hash = "sha256:103cdb3f0298c392bc340ae9aa7cd8685b163ae2aec65660dd0018978ddf4fa7"}, -] - -[package.extras] -numpy-style = ["docstring_parser (>=0.7)"] - -[[package]] -name = "pytokens" -version = "0.4.0" -description = "A Fast, spec compliant Python 3.14+ tokenizer that runs on older Pythons." -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "pytokens-0.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:af0c3166aea367a9e755a283171befb92dd3043858b94ae9b3b7efbe9def26a3"}, - {file = "pytokens-0.4.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae524ed14ca459932cbf51d74325bea643701ba8a8b0cc2d10f7cd4b3e2b63"}, - {file = "pytokens-0.4.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e95cb158c44d642ed62f555bf8136bbe780dbd64d2fb0b9169e11ffb944664c3"}, - {file = "pytokens-0.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:df58d44630eaf25f587540e94bdf1fc50b4e6d5f212c786de0fb024bfcb8753a"}, - {file = "pytokens-0.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55efcc36f9a2e0e930cfba0ce7f83445306b02f8326745585ed5551864eba73a"}, - {file = "pytokens-0.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:92eb3ef88f27c22dc9dbab966ace4d61f6826e02ba04dac8e2d65ea31df56c8e"}, - {file = "pytokens-0.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f4b77858a680635ee9904306f54b0ee4781effb89e211ba0a773d76539537165"}, - {file = "pytokens-0.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:25cacc20c2ad90acb56f3739d87905473c54ca1fa5967ffcd675463fe965865e"}, - {file = "pytokens-0.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:628fab535ebc9079e4db35cd63cb401901c7ce8720a9834f9ad44b9eb4e0f1d4"}, - {file = "pytokens-0.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:4d0f568d7e82b7e96be56d03b5081de40e43c904eb6492bf09aaca47cd55f35b"}, - {file = "pytokens-0.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:cd8da894e5a29ba6b6da8be06a4f7589d7220c099b5e363cb0643234b9b38c2a"}, - {file = "pytokens-0.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:237ba7cfb677dbd3b01b09860810aceb448871150566b93cd24501d5734a04b1"}, - {file = "pytokens-0.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01d1a61e36812e4e971cfe2c0e4c1f2d66d8311031dac8bf168af8a249fa04dd"}, - {file = "pytokens-0.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e47e2ef3ec6ee86909e520d79f965f9b23389fda47460303cf715d510a6fe544"}, - {file = "pytokens-0.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:3d36954aba4557fd5a418a03cf595ecbb1cdcce119f91a49b19ef09d691a22ae"}, - {file = "pytokens-0.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:73eff3bdd8ad08da679867992782568db0529b887bed4c85694f84cdf35eafc6"}, - {file = "pytokens-0.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d97cc1f91b1a8e8ebccf31c367f28225699bea26592df27141deade771ed0afb"}, - {file = "pytokens-0.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a2c8952c537cb73a1a74369501a83b7f9d208c3cf92c41dd88a17814e68d48ce"}, - {file = "pytokens-0.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5dbf56f3c748aed9310b310d5b8b14e2c96d3ad682ad5a943f381bdbbdddf753"}, - {file = "pytokens-0.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:e131804513597f2dff2b18f9911d9b6276e21ef3699abeffc1c087c65a3d975e"}, - {file = "pytokens-0.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0d7374c917197106d3c4761374718bc55ea2e9ac0fb94171588ef5840ee1f016"}, - {file = "pytokens-0.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0cd3fa1caf9e47a72ee134a29ca6b5bea84712724bba165d6628baa190c6ea5b"}, - {file = "pytokens-0.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c6986576b7b07fe9791854caa5347923005a80b079d45b63b0be70d50cce5f1"}, - {file = "pytokens-0.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9940f7c2e2f54fb1cb5fe17d0803c54da7a2bf62222704eb4217433664a186a7"}, - {file = "pytokens-0.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:54691cf8f299e7efabcc25adb4ce715d3cef1491e1c930eaf555182f898ef66a"}, - {file = "pytokens-0.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:94ff5db97a0d3cd7248a5b07ba2167bd3edc1db92f76c6db00137bbaf068ddf8"}, - {file = "pytokens-0.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d0dd6261cd9cc95fae1227b1b6ebee023a5fd4a4b6330b071c73a516f5f59b63"}, - {file = "pytokens-0.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0cdca8159df407dbd669145af4171a0d967006e0be25f3b520896bc7068f02c4"}, - {file = "pytokens-0.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:4b5770abeb2a24347380a1164a558f0ebe06e98aedbd54c45f7929527a5fb26e"}, - {file = "pytokens-0.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:74500d72c561dad14c037a9e86a657afd63e277dd5a3bb7570932ab7a3b12551"}, - {file = "pytokens-0.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e368e0749e4e9d86a6e08763310dc92bc69ad73d9b6db5243b30174c71a8a534"}, - {file = "pytokens-0.4.0-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:865cc65c75c8f2e9e0d8330338f649b12bfd9442561900ebaf58c596a72107d2"}, - {file = "pytokens-0.4.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dbb9338663b3538f31c4ca7afe4f38d9b9b3a16a8be18a273a5704a1bc7a2367"}, - {file = "pytokens-0.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:658f870523ac1a5f4733d7db61ce9af61a0c23b2aeea3d03d1800c93f760e15f"}, - {file = "pytokens-0.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:d69a2491190a74e4b6f87f3b9dfce7a6873de3f3bf330d20083d374380becac0"}, - {file = "pytokens-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8cd795191c4127fcb3d7b76d84006a07748c390226f47657869235092eedbc05"}, - {file = "pytokens-0.4.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef2bcbddb73ac18599a86c8c549d5145130f2cd9d83dc2b5482fd8322b7806cd"}, - {file = "pytokens-0.4.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06ac081c1187389762b58823d90d6339e6880ce0df912f71fb9022d81d7fd429"}, - {file = "pytokens-0.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:278129d54573efdc79e75c6082e73ebd19858e22a2e848359f93629323186ca6"}, - {file = "pytokens-0.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:9380fb6d96fa5ab83ed606ebad27b6171930cc14a8a8d215f6adb187ba428690"}, - {file = "pytokens-0.4.0-py3-none-any.whl", hash = "sha256:0508d11b4de157ee12063901603be87fb0253e8f4cb9305eb168b1202ab92068"}, - {file = "pytokens-0.4.0.tar.gz", hash = "sha256:6b0b03e6ea7c9f9d47c5c61164b69ad30f4f0d70a5d9fe7eac4d19f24f77af2d"}, -] - -[package.extras] -dev = ["black", "build", "mypy", "pytest", "pytest-cov", "setuptools", "tox", "twine", "wheel"] - -[[package]] -name = "pytz" -version = "2025.2" -description = "World timezone definitions, modern and historical" -optional = false -python-versions = "*" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, -] - -[[package]] -name = "pywavelets" -version = "1.8.0" -description = "PyWavelets, wavelet transform module" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "pywavelets-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f5c86fcb203c8e61d1f3d4afbfc08d626c64e4e3708207315577264c724632bf"}, - {file = "pywavelets-1.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fafb5fa126277e1690c3d6329287122fc08e4d25a262ce126e3d81b1f5709308"}, - {file = "pywavelets-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec23dfe6d5a3f4312b12456b8c546aa90a11c1138e425a885987505f0658ae0"}, - {file = "pywavelets-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:880a0197e9fa108939af50a95e97c1bf9b7d3e148e0fad92ea60a9ed8c8947c0"}, - {file = "pywavelets-1.8.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bfa833d08b60d0bf53a7939fbbf3d98015dd34efe89cbe4e53ced880d085fc1"}, - {file = "pywavelets-1.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e10c3fc7f4a796e94da4bca9871be2186a7bb7a3b3536a0ca9376d84263140f0"}, - {file = "pywavelets-1.8.0-cp310-cp310-win32.whl", hash = "sha256:31baf4be6940fde72cc85663154360857ac1b93c251822deaf72bb804da95031"}, - {file = "pywavelets-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:560c39f1ff8cb37f8b8ea4b7b6eb8a14f6926c11f5cf8c09f013a58f895ed5bc"}, - {file = "pywavelets-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e8dd5be4faed994581a8a4b3c0169be20567a9346e523f0b57f903c8f6722bce"}, - {file = "pywavelets-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8d8abaf7c120b151ef309c9ff57e0a44ba9febf49045056dbc1577526ecec6c8"}, - {file = "pywavelets-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b43a4c58707b1e8d941bec7f1d83e67c482278575ff0db3189d5c0dfae23a57"}, - {file = "pywavelets-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1aad0b97714e3079a2bfe48e4fb8ccd60778d0427e9ee5e0a9ff922e6c61e4"}, - {file = "pywavelets-1.8.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0e1db96dcf3ce08156859df8b359e9ff66fa15061a1b90e70e020bf4cd077a0"}, - {file = "pywavelets-1.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e62c8fb52ab0e8ff212fff9acae681a8f12d68b76c36fe24cc48809d5b6825ba"}, - {file = "pywavelets-1.8.0-cp311-cp311-win32.whl", hash = "sha256:bf327528d10de471b04bb725c4e10677fac5a49e13d41bf0d0b3a1f6d7097abf"}, - {file = "pywavelets-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:3814d354dd109e244ffaac3d480d29a5202212fe24570c920268237c8d276f95"}, - {file = "pywavelets-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3f431c9e2aff1a2240765eff5e804975d0fcc24c82d6f3d4271243f228e5963b"}, - {file = "pywavelets-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e39b0e2314e928cb850ee89b9042733a10ea044176a495a54dc84d2c98407a51"}, - {file = "pywavelets-1.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cae701117f5c7244b7c8d48b9e92a0289637cdc02a9c205e8be83361f0c11fae"}, - {file = "pywavelets-1.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649936baee933e80083788e0adc4d8bc2da7cdd8b10464d3b113475be2cc5308"}, - {file = "pywavelets-1.8.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8c68e9d072c536bc646e8bdce443bb1826eeb9aa21b2cb2479a43954dea692a3"}, - {file = "pywavelets-1.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:63f67fa2ee1610445de64f746fb9c1df31980ad13d896ea2331fc3755f49b3ae"}, - {file = "pywavelets-1.8.0-cp312-cp312-win32.whl", hash = "sha256:4b3c2ab669c91e3474fd63294355487b7dd23f0b51d32f811327ddf3546f4f3d"}, - {file = "pywavelets-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:810a23a631da596fef7196ddec49b345b1aab13525bb58547eeebe1769edbbc1"}, - {file = "pywavelets-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:441ba45c8dff8c6916dbe706958d0d7f91da675695ca0c0d75e483f6f52d0a12"}, - {file = "pywavelets-1.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:24bb282bab09349d9d128ed0536fa50fff5c2147891971a69c2c36155dfeeeac"}, - {file = "pywavelets-1.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:426ff3799446cb4da1db04c2084e6e58edfe24225596805665fd39c14f53dece"}, - {file = "pywavelets-1.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa0607a9c085b8285bc0d04e33d461a6c80f8c325389221ffb1a45141861138e"}, - {file = "pywavelets-1.8.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d31c36a39110e8fcc7b1a4a11cfed7d22b610c285d3e7f4fe73ec777aa49fa39"}, - {file = "pywavelets-1.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa7c68ed1e5bab23b1bafe60ccbcf709b878652d03de59e961baefa5210fcd0a"}, - {file = "pywavelets-1.8.0-cp313-cp313-win32.whl", hash = "sha256:2c6b359b55d713ef683e9da1529181b865a80d759881ceb9adc1c5742e4da4d8"}, - {file = "pywavelets-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:4dbebcfd55ea8a85b7fc8802d411e75337170422abf6e96019d7e46c394e80e5"}, - {file = "pywavelets-1.8.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:2e1c79784bebeafd3715c1bea6621daa2e2e6ed37b687719322e2078fb35bb70"}, - {file = "pywavelets-1.8.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f489380c95013cc8fb3ef338f6d8c1a907125db453cc4dc739e2cca06fcd8b6"}, - {file = "pywavelets-1.8.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:06786201a91b5e74540f4f3c115c49a29190de2eb424823abbd3a1fd75ea3e28"}, - {file = "pywavelets-1.8.0-cp313-cp313t-win32.whl", hash = "sha256:f2877fb7b58c94211257dcf364b204d6ed259146fc87d5a90bf9d93c97af6226"}, - {file = "pywavelets-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ec5d723c3335ff8aa630fd4b14097077f12cc02893c91cafd60dd7b1730e780f"}, - {file = "pywavelets-1.8.0.tar.gz", hash = "sha256:f3800245754840adc143cbc29534a1b8fc4b8cff6e9d403326bd52b7bb5c35aa"}, -] - -[package.dependencies] -numpy = ">=1.23,<3" - -[package.extras] -optional = ["scipy (>=1.9)"] - -[[package]] -name = "pywavelets" -version = "1.9.0" -description = "PyWavelets, wavelet transform module" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "pywavelets-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:54662cce4d56f0d6beaa6ebd34b2960f3aa4a43c83c9098a24729e9dc20a4be2"}, - {file = "pywavelets-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0d8ed4b4d1eab9347e8fe0c5b45008ce5a67225ce5b05766b8b1fa923a5f8b34"}, - {file = "pywavelets-1.9.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:862be65481fdfecfd84c6b0ca132ba571c12697a082068921bca5b5e039f1371"}, - {file = "pywavelets-1.9.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d76b7fa8fc500b09201d689b4f15bf5887e30ffbe2e1f338eb8470590eb4521a"}, - {file = "pywavelets-1.9.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa859d0b686a697c87a47e29319aebe44125f114a4f8c7e444832b921f52de5a"}, - {file = "pywavelets-1.9.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20e97b84a263003e2c7348bcf72beba96edda1a6169f072dc4e4d4ee3a6c7368"}, - {file = "pywavelets-1.9.0-cp311-cp311-win32.whl", hash = "sha256:f8330cdbfa506000e63e79525716df888998a76414c5cd6ecd9a7e371191fb05"}, - {file = "pywavelets-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:ed10959a17df294ef55948dcc76367d59ec7b6aad67e38dd4e313d2fe3ad47b2"}, - {file = "pywavelets-1.9.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:30baa0788317d3c938560c83fe4fc43817342d06e6c9662a440f73ba3fb25c9b"}, - {file = "pywavelets-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:df7436a728339696a7aa955c020ae65c85b0d9d2b5ff5b4cf4551f5d4c50f2c7"}, - {file = "pywavelets-1.9.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:07b26526db2476974581274c43a9c2447c917418c6bd03c8d305ad2a5cd9fac3"}, - {file = "pywavelets-1.9.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:573b650805d2f3c981a0e5ae95191c781a722022c37a0f6eba3fa7eae8e0ee17"}, - {file = "pywavelets-1.9.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3747ec804492436de6e99a7b6130480e53406d047e87dc7095ab40078a515a23"}, - {file = "pywavelets-1.9.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5163665686219c3f43fd5bbfef2391e87146813961dad0f86c62d4aed561f547"}, - {file = "pywavelets-1.9.0-cp312-cp312-win32.whl", hash = "sha256:80b8ab99f5326a3e724f71f23ba8b0a5b03e333fa79f66e965ea7bed21d42a2f"}, - {file = "pywavelets-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:92bfb8a117b8c8d3b72f2757a85395346fcbf37f50598880879ae72bd8e1c4b9"}, - {file = "pywavelets-1.9.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:74f8455c143818e4b026fc67b27fd82f38e522701b94b8a6d1aaf3a45fcc1a25"}, - {file = "pywavelets-1.9.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c50320fe0a4a23ddd8835b3dc9b53b09ee05c7cc6c56b81d0916f04fc1649070"}, - {file = "pywavelets-1.9.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6e059265223ed659e5214ab52a84883c88ddf3decbf08d7ec6abb8e4c5ed7be"}, - {file = "pywavelets-1.9.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ae10ed46c139c7ddb8b1249cfe0989f8ccb610d93f2899507b1b1573a0e424b5"}, - {file = "pywavelets-1.9.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c8f8b1cc2df012401cb837ee6fa2f59607c7b4fe0ff409d9a4f6906daf40dc86"}, - {file = "pywavelets-1.9.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:db43969c7a8fbb17693ecfd14f21616edc3b29f0e47a49b32fa4127c01312a67"}, - {file = "pywavelets-1.9.0-cp313-cp313-win32.whl", hash = "sha256:9e7d60819d87dcd6c68a2d1bc1d37deb1f4d96607799ab6a25633ea484dcda41"}, - {file = "pywavelets-1.9.0-cp313-cp313-win_amd64.whl", hash = "sha256:0d70da9d7858c869e24dc254f16a61dc09d8a224cad85a10c393b2eccddeb126"}, - {file = "pywavelets-1.9.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4dc85f44c38d76a184a1aa2cb038f802c3740428c9bb877525f4be83a223b134"}, - {file = "pywavelets-1.9.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7acf6f950c6deaecd210fbff44421f234a8ca81eb6f4da945228e498361afa9d"}, - {file = "pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:144d4fc15c98da56654d0dca2d391b812b8d04127b194a37ad4a497f8e887141"}, - {file = "pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1aa3729585408a979d655736f74b995b511c86b9be1544f95d4a3142f8f4b8b5"}, - {file = "pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e0e24ad6b8eb399c49606dd1fcdcbf9749ad7f6d638be3fe6f59c1f3098821e2"}, - {file = "pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3830e6657236b53a3aae20c735cccead942bb97c54bbca9e7d07bae01645fe9c"}, - {file = "pywavelets-1.9.0-cp313-cp313t-win32.whl", hash = "sha256:81bb65facfbd7b50dec50450516e72cdc51376ecfdd46f2e945bb89d39bfb783"}, - {file = "pywavelets-1.9.0-cp313-cp313t-win_amd64.whl", hash = "sha256:47d52cf35e2afded8cfe1133663f6f67106a3220b77645476ae660ad34922cb4"}, - {file = "pywavelets-1.9.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:53043d2f3f4e55a576f51ac594fe33181e1d096d958e01524db5070eb3825306"}, - {file = "pywavelets-1.9.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:56bc36b42b1b125fd9cb56e7956b22f8d0f83c1093f49c77fc042135e588c799"}, - {file = "pywavelets-1.9.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08076eb9a182ddc6054ac86868fb71df6267c341635036dc63d20bdbacd9ad7e"}, - {file = "pywavelets-1.9.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4ee1ee7d80f88c64b8ec3b5021dd1e94545cc97f0cd479fb51aa7b10f6def08e"}, - {file = "pywavelets-1.9.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3226b6f62838a6ccd7782cb7449ee5d8b9d61999506c1d9b03b2baf41b01b6fd"}, - {file = "pywavelets-1.9.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9fb7f4b11d18e2db6dd8deee7b3ce8343d45f195f3f278c2af6e3724b1b93a24"}, - {file = "pywavelets-1.9.0-cp314-cp314-win32.whl", hash = "sha256:9902d9fc9812588ab2dce359a1307d8e7f002b53a835640e2c9388fe62a82fd4"}, - {file = "pywavelets-1.9.0-cp314-cp314-win_amd64.whl", hash = "sha256:7e57792bde40e331d6cc65458e5970fd814dba18cfc4e9add9d051e901a7b7c7"}, - {file = "pywavelets-1.9.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b47c72fb4b76d665c4c598a5b621b505944e5b761bf03df9d169029aafcb652f"}, - {file = "pywavelets-1.9.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:969e369899e7eab546ea5d77074e4125082e6f9dad71966499bf5dee3758be55"}, - {file = "pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8aeffd4f35036c1fade972a61454de5709a7a8fc9a7d177eefe3ac34d76962e5"}, - {file = "pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f63f400fcd4e7007529bd06a5886009760da35cd7e76bb6adb5a5fbee4ffeb8c"}, - {file = "pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a63bcb6b5759a7eb187aeb5e8cd316b7adab7de1f4b5a0446c9a6bcebdfc22fb"}, - {file = "pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9950eb7c8b942e9bfa53d87c7e45a420dcddbd835c4c5f1aca045a3f775c6113"}, - {file = "pywavelets-1.9.0-cp314-cp314t-win32.whl", hash = "sha256:097f157e07858a1eb370e0d9c1bd11185acdece5cca10756d6c3c7b35b52771a"}, - {file = "pywavelets-1.9.0-cp314-cp314t-win_amd64.whl", hash = "sha256:3b6ff6ba4f625d8c955f68c2c39b0a913776d406ab31ee4057f34ad4019fb33b"}, - {file = "pywavelets-1.9.0.tar.gz", hash = "sha256:148d12203377772bea452a59211d98649c8ee4a05eff019a9021853a36babdc8"}, -] - -[package.dependencies] -numpy = ">=1.25,<3" - -[[package]] -name = "pywinpty" -version = "3.0.2" -description = "Pseudo terminal support for Windows from Python." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -markers = "os_name == \"nt\"" -files = [ - {file = "pywinpty-3.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:65db57fd3387d71e8372b6a54269cbcd0f6dfa6d4616a29e0af749ec19f5c558"}, - {file = "pywinpty-3.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:327790d70e4c841ebd9d0f295a780177149aeb405bca44c7115a3de5c2054b23"}, - {file = "pywinpty-3.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:99fdd9b455f0ad6419aba6731a7a0d2f88ced83c3c94a80ff9533d95fa8d8a9e"}, - {file = "pywinpty-3.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:18f78b81e4cfee6aabe7ea8688441d30247b73e52cd9657138015c5f4ee13a51"}, - {file = "pywinpty-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:663383ecfab7fc382cc97ea5c4f7f0bb32c2f889259855df6ea34e5df42d305b"}, - {file = "pywinpty-3.0.2-cp314-cp314-win_amd64.whl", hash = "sha256:28297cecc37bee9f24d8889e47231972d6e9e84f7b668909de54f36ca785029a"}, - {file = "pywinpty-3.0.2-cp314-cp314t-win_amd64.whl", hash = "sha256:34b55ae9a1b671fe3eae071d86618110538e8eaad18fcb1531c0830b91a82767"}, - {file = "pywinpty-3.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:3962daf801bc38dd4de872108c424b5338c9a46c6efca5761854cd66370a9022"}, - {file = "pywinpty-3.0.2.tar.gz", hash = "sha256:1505cc4cb248af42cb6285a65c9c2086ee9e7e574078ee60933d5d7fa86fb004"}, -] - -[[package]] -name = "pyxdf" -version = "1.17.3" -description = "Python package for importing XDF (Extensible Data Format) files" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "pyxdf-1.17.3-py3-none-any.whl", hash = "sha256:c7c01d65e5b9144d544f886debc56b46f7807a014192b9f49bcbdb75b3f19a47"}, - {file = "pyxdf-1.17.3.tar.gz", hash = "sha256:8294353f2989885177277e4a02e260dc9430a60b53b463bad8cdc179fb2c47ce"}, -] - -[package.dependencies] -numpy = ">=2.0.2" - -[package.extras] -playback = ["pylsl (>=1.17.6)"] - -[[package]] -name = "pyyaml" -version = "6.0.3" -description = "YAML parser and emitter for Python" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, - {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, - {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:efd7b85f94a6f21e4932043973a7ba2613b059c4a000551892ac9f1d11f5baf3"}, - {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22ba7cfcad58ef3ecddc7ed1db3409af68d023b7f940da23c6c2a1890976eda6"}, - {file = "PyYAML-6.0.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:6344df0d5755a2c9a276d4473ae6b90647e216ab4757f8426893b5dd2ac3f369"}, - {file = "PyYAML-6.0.3-cp38-cp38-win32.whl", hash = "sha256:3ff07ec89bae51176c0549bc4c63aa6202991da2d9a6129d7aef7f1407d3f295"}, - {file = "PyYAML-6.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:5cf4e27da7e3fbed4d6c3d8e797387aaad68102272f8f9752883bc32d61cb87b"}, - {file = "pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b"}, - {file = "pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956"}, - {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8"}, - {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198"}, - {file = "pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b"}, - {file = "pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0"}, - {file = "pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69"}, - {file = "pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e"}, - {file = "pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c"}, - {file = "pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e"}, - {file = "pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824"}, - {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c"}, - {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00"}, - {file = "pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d"}, - {file = "pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a"}, - {file = "pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4"}, - {file = "pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b"}, - {file = "pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf"}, - {file = "pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196"}, - {file = "pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0"}, - {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28"}, - {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c"}, - {file = "pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc"}, - {file = "pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e"}, - {file = "pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea"}, - {file = "pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5"}, - {file = "pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b"}, - {file = "pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd"}, - {file = "pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8"}, - {file = "pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1"}, - {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c"}, - {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5"}, - {file = "pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6"}, - {file = "pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6"}, - {file = "pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be"}, - {file = "pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26"}, - {file = "pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c"}, - {file = "pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb"}, - {file = "pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac"}, - {file = "pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310"}, - {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7"}, - {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788"}, - {file = "pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5"}, - {file = "pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764"}, - {file = "pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35"}, - {file = "pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac"}, - {file = "pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3"}, - {file = "pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3"}, - {file = "pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba"}, - {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c"}, - {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702"}, - {file = "pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c"}, - {file = "pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065"}, - {file = "pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65"}, - {file = "pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9"}, - {file = "pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b"}, - {file = "pyyaml-6.0.3-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:b865addae83924361678b652338317d1bd7e79b1f4596f96b96c77a5a34b34da"}, - {file = "pyyaml-6.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c3355370a2c156cffb25e876646f149d5d68f5e0a3ce86a5084dd0b64a994917"}, - {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3c5677e12444c15717b902a5798264fa7909e41153cdf9ef7ad571b704a63dd9"}, - {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5ed875a24292240029e4483f9d4a4b8a1ae08843b9c54f43fcc11e404532a8a5"}, - {file = "pyyaml-6.0.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0150219816b6a1fa26fb4699fb7daa9caf09eb1999f3b70fb6e786805e80375a"}, - {file = "pyyaml-6.0.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fa160448684b4e94d80416c0fa4aac48967a969efe22931448d853ada8baf926"}, - {file = "pyyaml-6.0.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:27c0abcb4a5dac13684a37f76e701e054692a9b2d3064b70f5e4eb54810553d7"}, - {file = "pyyaml-6.0.3-cp39-cp39-win32.whl", hash = "sha256:1ebe39cb5fc479422b83de611d14e2c0d3bb2a18bbcb01f229ab3cfbd8fee7a0"}, - {file = "pyyaml-6.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:2e71d11abed7344e42a8849600193d15b6def118602c4c176f748e4583246007"}, - {file = "pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f"}, -] - -[[package]] -name = "pyyaml-env-tag" -version = "1.1" -description = "A custom YAML tag for referencing environment variables in YAML files." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04"}, - {file = "pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff"}, -] - -[package.dependencies] -pyyaml = "*" - -[[package]] -name = "pyzmq" -version = "27.1.0" -description = "Python bindings for 0MQ" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"}, - {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"}, - {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b"}, - {file = "pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e"}, - {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526"}, - {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1"}, - {file = "pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386"}, - {file = "pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda"}, - {file = "pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f"}, - {file = "pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32"}, - {file = "pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86"}, - {file = "pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581"}, - {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f"}, - {file = "pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e"}, - {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e"}, - {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2"}, - {file = "pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394"}, - {file = "pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f"}, - {file = "pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97"}, - {file = "pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07"}, - {file = "pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc"}, - {file = "pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113"}, - {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233"}, - {file = "pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31"}, - {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28"}, - {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856"}, - {file = "pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496"}, - {file = "pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd"}, - {file = "pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf"}, - {file = "pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f"}, - {file = "pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5"}, - {file = "pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6"}, - {file = "pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7"}, - {file = "pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05"}, - {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9"}, - {file = "pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128"}, - {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39"}, - {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97"}, - {file = "pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db"}, - {file = "pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c"}, - {file = "pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2"}, - {file = "pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e"}, - {file = "pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a"}, - {file = "pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea"}, - {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96"}, - {file = "pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d"}, - {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146"}, - {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd"}, - {file = "pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a"}, - {file = "pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92"}, - {file = "pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0"}, - {file = "pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7"}, - {file = "pyzmq-27.1.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:18339186c0ed0ce5835f2656cdfb32203125917711af64da64dbaa3d949e5a1b"}, - {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:753d56fba8f70962cd8295fb3edb40b9b16deaa882dd2b5a3a2039f9ff7625aa"}, - {file = "pyzmq-27.1.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b721c05d932e5ad9ff9344f708c96b9e1a485418c6618d765fca95d4daacfbef"}, - {file = "pyzmq-27.1.0-cp38-cp38-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be883ff3d722e6085ee3f4afc057a50f7f2e0c72d289fd54df5706b4e3d3a50"}, - {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:b2e592db3a93128daf567de9650a2f3859017b3f7a66bc4ed6e4779d6034976f"}, - {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ad68808a61cbfbbae7ba26d6233f2a4aa3b221de379ce9ee468aa7a83b9c36b0"}, - {file = "pyzmq-27.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:e2687c2d230e8d8584fbea433c24382edfeda0c60627aca3446aa5e58d5d1831"}, - {file = "pyzmq-27.1.0-cp38-cp38-win32.whl", hash = "sha256:a1aa0ee920fb3825d6c825ae3f6c508403b905b698b6460408ebd5bb04bbb312"}, - {file = "pyzmq-27.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:df7cd397ece96cf20a76fae705d40efbab217d217897a5053267cd88a700c266"}, - {file = "pyzmq-27.1.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:96c71c32fff75957db6ae33cd961439f386505c6e6b377370af9b24a1ef9eafb"}, - {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:49d3980544447f6bd2968b6ac913ab963a49dcaa2d4a2990041f16057b04c429"}, - {file = "pyzmq-27.1.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:849ca054d81aa1c175c49484afaaa5db0622092b5eccb2055f9f3bb8f703782d"}, - {file = "pyzmq-27.1.0-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3970778e74cb7f85934d2b926b9900e92bfe597e62267d7499acc39c9c28e345"}, - {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:da96ecdcf7d3919c3be2de91a8c513c186f6762aa6cf7c01087ed74fad7f0968"}, - {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:9541c444cfe1b1c0156c5c86ece2bb926c7079a18e7b47b0b1b3b1b875e5d098"}, - {file = "pyzmq-27.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e30a74a39b93e2e1591b58eb1acef4902be27c957a8720b0e368f579b82dc22f"}, - {file = "pyzmq-27.1.0-cp39-cp39-win32.whl", hash = "sha256:b1267823d72d1e40701dcba7edc45fd17f71be1285557b7fe668887150a14b78"}, - {file = "pyzmq-27.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:0c996ded912812a2fcd7ab6574f4ad3edc27cb6510349431e4930d4196ade7db"}, - {file = "pyzmq-27.1.0-cp39-cp39-win_arm64.whl", hash = "sha256:346e9ba4198177a07e7706050f35d733e08c1c1f8ceacd5eb6389d653579ffbc"}, - {file = "pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6"}, - {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90"}, - {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62"}, - {file = "pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74"}, - {file = "pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba"}, - {file = "pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066"}, - {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604"}, - {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c"}, - {file = "pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271"}, - {file = "pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355"}, - {file = "pyzmq-27.1.0-pp38-pypy38_pp73-macosx_10_15_x86_64.whl", hash = "sha256:50081a4e98472ba9f5a02850014b4c9b629da6710f8f14f3b15897c666a28f1b"}, - {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:510869f9df36ab97f89f4cff9d002a89ac554c7ac9cadd87d444aa4cf66abd27"}, - {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1f8426a01b1c4098a750973c37131cf585f61c7911d735f729935a0c701b68d3"}, - {file = "pyzmq-27.1.0-pp38-pypy38_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:726b6a502f2e34c6d2ada5e702929586d3ac948a4dbbb7fed9854ec8c0466027"}, - {file = "pyzmq-27.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:bd67e7c8f4654bef471c0b1ca6614af0b5202a790723a58b79d9584dc8022a78"}, - {file = "pyzmq-27.1.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:722ea791aa233ac0a819fc2c475e1292c76930b31f1d828cb61073e2fe5e208f"}, - {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:01f9437501886d3a1dd4b02ef59fb8cc384fa718ce066d52f175ee49dd5b7ed8"}, - {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4a19387a3dddcc762bfd2f570d14e2395b2c9701329b266f83dd87a2b3cbd381"}, - {file = "pyzmq-27.1.0-pp39-pypy39_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c618fbcd069e3a29dcd221739cacde52edcc681f041907867e0f5cc7e85f172"}, - {file = "pyzmq-27.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff8d114d14ac671d88c89b9224c63d6c4e5a613fe8acd5594ce53d752a3aafe9"}, - {file = "pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540"}, -] - -[package.dependencies] -cffi = {version = "*", markers = "implementation_name == \"pypy\""} - -[[package]] -name = "questionary" -version = "2.1.1" -description = "Python library to build pretty command line user prompts ⭐️" -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -markers = "platform_system != \"Emscripten\"" -files = [ - {file = "questionary-2.1.1-py3-none-any.whl", hash = "sha256:a51af13f345f1cdea62347589fbb6df3b290306ab8930713bfae4d475a7d4a59"}, - {file = "questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d"}, -] - -[package.dependencies] -prompt_toolkit = ">=2.0,<4.0" - -[[package]] -name = "referencing" -version = "0.37.0" -description = "JSON Referencing + Python" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231"}, - {file = "referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8"}, -] - -[package.dependencies] -attrs = ">=22.2.0" -rpds-py = ">=0.7.0" -typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""} - -[[package]] -name = "requests" -version = "2.32.5" -description = "Python HTTP for Humans." -optional = false -python-versions = ">=3.9" -groups = ["main", "dev"] -files = [ - {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, - {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, -] - -[package.dependencies] -certifi = ">=2017.4.17" -charset_normalizer = ">=2,<4" -idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<3" - -[package.extras] -socks = ["PySocks (>=1.5.6,!=1.5.7)"] -use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] - -[[package]] -name = "rfc3339-validator" -version = "0.1.4" -description = "A pure python RFC3339 validator" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -groups = ["dev"] -files = [ - {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, - {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, -] - -[package.dependencies] -six = "*" - -[[package]] -name = "rfc3986-validator" -version = "0.1.1" -description = "Pure python rfc3986 validator" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -groups = ["dev"] -files = [ - {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, - {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, -] - -[[package]] -name = "rfc3987-syntax" -version = "1.1.0" -description = "Helper functions to syntactically validate strings according to RFC 3987." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f"}, - {file = "rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d"}, -] - -[package.dependencies] -lark = ">=1.2.2" - -[package.extras] -testing = ["pytest (>=8.3.5)"] - -[[package]] -name = "rich" -version = "14.3.1" -description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" -optional = false -python-versions = ">=3.8.0" -groups = ["main"] -files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, -] - -[package.dependencies] -markdown-it-py = ">=2.2.0" -pygments = ">=2.13.0,<3.0.0" - -[package.extras] -jupyter = ["ipywidgets (>=7.5.1,<9)"] - -[[package]] -name = "rpds-py" -version = "0.30.0" -description = "Python bindings to Rust's persistent data structures (rpds)" -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288"}, - {file = "rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221"}, - {file = "rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7"}, - {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff"}, - {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7"}, - {file = "rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139"}, - {file = "rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464"}, - {file = "rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169"}, - {file = "rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425"}, - {file = "rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d"}, - {file = "rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038"}, - {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7"}, - {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed"}, - {file = "rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85"}, - {file = "rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c"}, - {file = "rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825"}, - {file = "rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229"}, - {file = "rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad"}, - {file = "rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6"}, - {file = "rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51"}, - {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5"}, - {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e"}, - {file = "rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394"}, - {file = "rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf"}, - {file = "rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b"}, - {file = "rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e"}, - {file = "rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2"}, - {file = "rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e"}, - {file = "rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d"}, - {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7"}, - {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31"}, - {file = "rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95"}, - {file = "rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d"}, - {file = "rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15"}, - {file = "rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1"}, - {file = "rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a"}, - {file = "rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9"}, - {file = "rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0"}, - {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94"}, - {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08"}, - {file = "rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27"}, - {file = "rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6"}, - {file = "rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d"}, - {file = "rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0"}, - {file = "rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07"}, - {file = "rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f"}, - {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65"}, - {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f"}, - {file = "rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53"}, - {file = "rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed"}, - {file = "rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950"}, - {file = "rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6"}, - {file = "rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb"}, - {file = "rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8"}, - {file = "rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5"}, - {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404"}, - {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856"}, - {file = "rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40"}, - {file = "rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0"}, - {file = "rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4"}, - {file = "rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e"}, - {file = "rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84"}, -] - -[[package]] -name = "scikit-image" -version = "0.25.2" -description = "Image processing in Python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "scikit_image-0.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d3278f586793176599df6a4cf48cb6beadae35c31e58dc01a98023af3dc31c78"}, - {file = "scikit_image-0.25.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5c311069899ce757d7dbf1d03e32acb38bb06153236ae77fcd820fd62044c063"}, - {file = "scikit_image-0.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be455aa7039a6afa54e84f9e38293733a2622b8c2fb3362b822d459cc5605e99"}, - {file = "scikit_image-0.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4c464b90e978d137330be433df4e76d92ad3c5f46a22f159520ce0fdbea8a09"}, - {file = "scikit_image-0.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:60516257c5a2d2f74387c502aa2f15a0ef3498fbeaa749f730ab18f0a40fd054"}, - {file = "scikit_image-0.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f4bac9196fb80d37567316581c6060763b0f4893d3aca34a9ede3825bc035b17"}, - {file = "scikit_image-0.25.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d989d64ff92e0c6c0f2018c7495a5b20e2451839299a018e0e5108b2680f71e0"}, - {file = "scikit_image-0.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2cfc96b27afe9a05bc92f8c6235321d3a66499995675b27415e0d0c76625173"}, - {file = "scikit_image-0.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24cc986e1f4187a12aa319f777b36008764e856e5013666a4a83f8df083c2641"}, - {file = "scikit_image-0.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:b4f6b61fc2db6340696afe3db6b26e0356911529f5f6aee8c322aa5157490c9b"}, - {file = "scikit_image-0.25.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8db8dd03663112783221bf01ccfc9512d1cc50ac9b5b0fe8f4023967564719fb"}, - {file = "scikit_image-0.25.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:483bd8cc10c3d8a7a37fae36dfa5b21e239bd4ee121d91cad1f81bba10cfb0ed"}, - {file = "scikit_image-0.25.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d1e80107bcf2bf1291acfc0bf0425dceb8890abe9f38d8e94e23497cbf7ee0d"}, - {file = "scikit_image-0.25.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a17e17eb8562660cc0d31bb55643a4da996a81944b82c54805c91b3fe66f4824"}, - {file = "scikit_image-0.25.2-cp312-cp312-win_amd64.whl", hash = "sha256:bdd2b8c1de0849964dbc54037f36b4e9420157e67e45a8709a80d727f52c7da2"}, - {file = "scikit_image-0.25.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7efa888130f6c548ec0439b1a7ed7295bc10105458a421e9bf739b457730b6da"}, - {file = "scikit_image-0.25.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dd8011efe69c3641920614d550f5505f83658fe33581e49bed86feab43a180fc"}, - {file = "scikit_image-0.25.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28182a9d3e2ce3c2e251383bdda68f8d88d9fff1a3ebe1eb61206595c9773341"}, - {file = "scikit_image-0.25.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8abd3c805ce6944b941cfed0406d88faeb19bab3ed3d4b50187af55cf24d147"}, - {file = "scikit_image-0.25.2-cp313-cp313-win_amd64.whl", hash = "sha256:64785a8acefee460ec49a354706db0b09d1f325674107d7fa3eadb663fb56d6f"}, - {file = "scikit_image-0.25.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330d061bd107d12f8d68f1d611ae27b3b813b8cdb0300a71d07b1379178dd4cd"}, - {file = "scikit_image-0.25.2.tar.gz", hash = "sha256:e5a37e6cd4d0c018a7a55b9d601357e3382826d3888c10d0213fc63bff977dde"}, -] - -[package.dependencies] -imageio = ">=2.33,<2.35.0 || >2.35.0" -lazy-loader = ">=0.4" -networkx = ">=3.0" -numpy = ">=1.24" -packaging = ">=21" -pillow = ">=10.1" -scipy = ">=1.11.4" -tifffile = ">=2022.8.12" - -[package.extras] -build = ["Cython (>=3.0.8)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "spin (==0.13)"] -data = ["pooch (>=1.6.0)"] -developer = ["ipython", "pre-commit", "tomli ; python_version < \"3.11\""] -docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"] -optional = ["PyWavelets (>=1.6)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=1.1.1)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0)", "pyamg (>=5.2)", "scikit-learn (>=1.2)"] -test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=8)", "pytest-cov (>=2.11.0)", "pytest-doctestplus", "pytest-faulthandler", "pytest-localserver"] - -[[package]] -name = "scikit-image" -version = "0.26.0" -description = "Image processing in Python" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "scikit_image-0.26.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b1ede33a0fb3731457eaf53af6361e73dd510f449dac437ab54573b26788baf0"}, - {file = "scikit_image-0.26.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7af7aa331c6846bd03fa28b164c18d0c3fd419dbb888fb05e958ac4257a78fdd"}, - {file = "scikit_image-0.26.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9ea6207d9e9d21c3f464efe733121c0504e494dbdc7728649ff3e23c3c5a4953"}, - {file = "scikit_image-0.26.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74aa5518ccea28121f57a95374581d3b979839adc25bb03f289b1bc9b99c58af"}, - {file = "scikit_image-0.26.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d5c244656de905e195a904e36dbc18585e06ecf67d90f0482cbde63d7f9ad59d"}, - {file = "scikit_image-0.26.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:21a818ee6ca2f2131b9e04d8eb7637b5c18773ebe7b399ad23dcc5afaa226d2d"}, - {file = "scikit_image-0.26.0-cp311-cp311-win_amd64.whl", hash = "sha256:9490360c8d3f9a7e85c8de87daf7c0c66507960cf4947bb9610d1751928721c7"}, - {file = "scikit_image-0.26.0-cp311-cp311-win_arm64.whl", hash = "sha256:0baa0108d2d027f34d748e84e592b78acc23e965a5de0e4bb03cf371de5c0581"}, - {file = "scikit_image-0.26.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d454b93a6fa770ac5ae2d33570f8e7a321bb80d29511ce4b6b78058ebe176e8c"}, - {file = "scikit_image-0.26.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3409e89d66eff5734cd2b672d1c48d2759360057e714e1d92a11df82c87cba37"}, - {file = "scikit_image-0.26.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c717490cec9e276afb0438dd165b7c3072d6c416709cc0f9f5a4c1070d23a44"}, - {file = "scikit_image-0.26.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7df650e79031634ac90b11e64a9eedaf5a5e06fcd09bcd03a34be01745744466"}, - {file = "scikit_image-0.26.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cefd85033e66d4ea35b525bb0937d7f42d4cdcfed2d1888e1570d5ce450d3932"}, - {file = "scikit_image-0.26.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3f5bf622d7c0435884e1e141ebbe4b2804e16b2dd23ae4c6183e2ea99233be70"}, - {file = "scikit_image-0.26.0-cp312-cp312-win_amd64.whl", hash = "sha256:abed017474593cd3056ae0fe948d07d0747b27a085e92df5474f4955dd65aec0"}, - {file = "scikit_image-0.26.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d57e39ef67a95d26860c8caf9b14b8fb130f83b34c6656a77f191fa6d1d04d8"}, - {file = "scikit_image-0.26.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a2e852eccf41d2d322b8e60144e124802873a92b8d43a6f96331aa42888491c7"}, - {file = "scikit_image-0.26.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:98329aab3bc87db352b9887f64ce8cdb8e75f7c2daa19927f2e121b797b678d5"}, - {file = "scikit_image-0.26.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:915bb3ba66455cf8adac00dc8fdf18a4cd29656aec7ddd38cb4dda90289a6f21"}, - {file = "scikit_image-0.26.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b36ab5e778bf50af5ff386c3ac508027dc3aaeccf2161bdf96bde6848f44d21b"}, - {file = "scikit_image-0.26.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:09bad6a5d5949c7896c8347424c4cca899f1d11668030e5548813ab9c2865dcb"}, - {file = "scikit_image-0.26.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:aeb14db1ed09ad4bee4ceb9e635547a8d5f3549be67fc6c768c7f923e027e6cd"}, - {file = "scikit_image-0.26.0-cp313-cp313-win_amd64.whl", hash = "sha256:ac529eb9dbd5954f9aaa2e3fe9a3fd9661bfe24e134c688587d811a0233127f1"}, - {file = "scikit_image-0.26.0-cp313-cp313-win_arm64.whl", hash = "sha256:a2d211bc355f59725efdcae699b93b30348a19416cc9e017f7b2fb599faf7219"}, - {file = "scikit_image-0.26.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9eefb4adad066da408a7601c4c24b07af3b472d90e08c3e7483d4e9e829d8c49"}, - {file = "scikit_image-0.26.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6caec76e16c970c528d15d1c757363334d5cb3069f9cea93d2bead31820511f3"}, - {file = "scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a07200fe09b9d99fcdab959859fe0f7db8df6333d6204344425d476850ce3604"}, - {file = "scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:92242351bccf391fc5df2d1529d15470019496d2498d615beb68da85fe7fdf37"}, - {file = "scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:52c496f75a7e45844d951557f13c08c81487c6a1da2e3c9c8a39fcde958e02cc"}, - {file = "scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:20ef4a155e2e78b8ab973998e04d8a361d49d719e65412405f4dadd9155a61d9"}, - {file = "scikit_image-0.26.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c9087cf7d0e7f33ab5c46d2068d86d785e70b05400a891f73a13400f1e1faf6a"}, - {file = "scikit_image-0.26.0-cp313-cp313t-win_arm64.whl", hash = "sha256:27d58bc8b2acd351f972c6508c1b557cfed80299826080a4d803dd29c51b707e"}, - {file = "scikit_image-0.26.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:63af3d3a26125f796f01052052f86806da5b5e54c6abef152edb752683075a9c"}, - {file = "scikit_image-0.26.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ce00600cd70d4562ed59f80523e18cdcc1fae0e10676498a01f73c255774aefd"}, - {file = "scikit_image-0.26.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6381edf972b32e4f54085449afde64365a57316637496c1325a736987083e2ab"}, - {file = "scikit_image-0.26.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6624a76c6085218248154cc7e1500e6b488edcd9499004dd0d35040607d7505"}, - {file = "scikit_image-0.26.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f775f0e420faac9c2aa6757135f4eb468fb7b70e0b67fa77a5e79be3c30ee331"}, - {file = "scikit_image-0.26.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ede4d6d255cc5da9faeb2f9ba7fedbc990abbc652db429f40a16b22e770bb578"}, - {file = "scikit_image-0.26.0-cp314-cp314-win_amd64.whl", hash = "sha256:0660b83968c15293fd9135e8d860053ee19500d52bf55ca4fb09de595a1af650"}, - {file = "scikit_image-0.26.0-cp314-cp314-win_arm64.whl", hash = "sha256:b8d14d3181c21c11170477a42542c1addc7072a90b986675a71266ad17abc37f"}, - {file = "scikit_image-0.26.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:cde0bbd57e6795eba83cb10f71a677f7239271121dc950bc060482834a668ad1"}, - {file = "scikit_image-0.26.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:163e9afb5b879562b9aeda0dd45208a35316f26cc7a3aed54fd601604e5cf46f"}, - {file = "scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:724f79fd9b6cb6f4a37864fe09f81f9f5d5b9646b6868109e1b100d1a7019e59"}, - {file = "scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3268f13310e6857508bd87202620df996199a016a1d281b309441d227c822394"}, - {file = "scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:fac96a1f9b06cd771cbbb3cd96c5332f36d4efd839b1d8b053f79e5887acde62"}, - {file = "scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2c1e7bd342f43e7a97e571b3f03ba4c1293ea1a35c3f13f41efdc8a81c1dc8f2"}, - {file = "scikit_image-0.26.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b702c3bb115e1dcf4abf5297429b5c90f2189655888cbed14921f3d26f81d3a4"}, - {file = "scikit_image-0.26.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0608aa4a9ec39e0843de10d60edb2785a30c1c47819b67866dd223ebd149acaf"}, - {file = "scikit_image-0.26.0.tar.gz", hash = "sha256:f5f970ab04efad85c24714321fcc91613fcb64ef2a892a13167df2f3e59199fa"}, -] - -[package.dependencies] -imageio = ">=2.33,<2.35.0 || >2.35.0" -lazy-loader = ">=0.4" -networkx = ">=3.0" -numpy = ">=1.24" -packaging = ">=21" -pillow = ">=10.1" -scipy = ">=1.11.4" -tifffile = ">=2022.8.12" - -[package.extras] -asv = ["asv ; sys_platform != \"emscripten\""] -build = ["Cython (>=3.0.8,!=3.2.0b1)", "build (>=1.2.1)", "meson-python (>=0.16)", "ninja (>=1.11.1.1)", "numpy (>=2.0)", "pythran (>=0.16)", "spin (==0.13)"] -data = ["pooch (>=1.6.0)"] -developer = ["docstub (==0.3.0.post0)", "ipython", "pre-commit", "scikit-image[asv]"] -docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry (>=0.2411.14)", "ipykernel", "ipywidgets", "kaleido (==0.2.1)", "matplotlib (>=3.7)", "myst-parser", "numpydoc (>=1.7)", "pandas (>=2.0)", "plotly (>=5.20)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.16)", "pytest-doctestplus (>=1.6.0)", "scikit-learn (>=1.2)", "seaborn (>=0.11)", "sphinx (>=8.0)", "sphinx-copybutton", "sphinx-gallery[parallel] (>=0.18)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"] -optional = ["SimpleITK ; sys_platform != \"emscripten\"", "pyamg (>=5.2) ; sys_platform != \"emscripten\" and python_version < \"3.14\"", "scikit-image[optional-free-threaded]", "scikit-learn (>=1.2)"] -optional-free-threaded = ["PyWavelets (>=1.6)", "astropy (>=6.0)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0) ; sys_platform != \"emscripten\""] -test = ["numpydoc (>=1.7)", "pooch (>=1.6.0) ; sys_platform != \"emscripten\"", "pytest (>=8.3)", "pytest-cov (>=2.11.0)", "pytest-doctestplus (>=1.6.0)", "pytest-faulthandler", "pytest-localserver", "pytest-pretty"] - -[[package]] -name = "scikit-learn" -version = "1.7.2" -description = "A set of python modules for machine learning and data mining" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"}, - {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"}, - {file = "scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8"}, - {file = "scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18"}, - {file = "scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5"}, - {file = "scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e"}, - {file = "scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1"}, - {file = "scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d"}, - {file = "scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1"}, - {file = "scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1"}, - {file = "scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96"}, - {file = "scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476"}, - {file = "scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b"}, - {file = "scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44"}, - {file = "scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290"}, - {file = "scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7"}, - {file = "scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe"}, - {file = "scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f"}, - {file = "scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0"}, - {file = "scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c"}, - {file = "scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973"}, - {file = "scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33"}, - {file = "scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615"}, - {file = "scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106"}, - {file = "scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61"}, - {file = "scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8"}, - {file = "scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda"}, -] - -[package.dependencies] -joblib = ">=1.2.0" -numpy = ">=1.22.0" -scipy = ">=1.8.0" -threadpoolctl = ">=3.1.0" - -[package.extras] -benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"] -build = ["cython (>=3.0.10)", "meson-python (>=0.17.1)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"] -docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"] -examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"] -install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"] -maintenance = ["conda-lock (==3.0.1)"] -tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"] - -[[package]] -name = "scikit-learn" -version = "1.8.0" -description = "A set of python modules for machine learning and data mining" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "scikit_learn-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:146b4d36f800c013d267b29168813f7a03a43ecd2895d04861f1240b564421da"}, - {file = "scikit_learn-1.8.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f984ca4b14914e6b4094c5d52a32ea16b49832c03bd17a110f004db3c223e8e1"}, - {file = "scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5e30adb87f0cc81c7690a84f7932dd66be5bac57cfe16b91cb9151683a4a2d3b"}, - {file = "scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ada8121bcb4dac28d930febc791a69f7cb1673c8495e5eee274190b73a4559c1"}, - {file = "scikit_learn-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:c57b1b610bd1f40ba43970e11ce62821c2e6569e4d74023db19c6b26f246cb3b"}, - {file = "scikit_learn-1.8.0-cp311-cp311-win_arm64.whl", hash = "sha256:2838551e011a64e3053ad7618dda9310175f7515f1742fa2d756f7c874c05961"}, - {file = "scikit_learn-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5fb63362b5a7ddab88e52b6dbb47dac3fd7dafeee740dc6c8d8a446ddedade8e"}, - {file = "scikit_learn-1.8.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5025ce924beccb28298246e589c691fe1b8c1c96507e6d27d12c5fadd85bfd76"}, - {file = "scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4496bb2cf7a43ce1a2d7524a79e40bc5da45cf598dbf9545b7e8316ccba47bb4"}, - {file = "scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a0bcfe4d0d14aec44921545fd2af2338c7471de9cb701f1da4c9d85906ab847a"}, - {file = "scikit_learn-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:35c007dedb2ffe38fe3ee7d201ebac4a2deccd2408e8621d53067733e3c74809"}, - {file = "scikit_learn-1.8.0-cp312-cp312-win_arm64.whl", hash = "sha256:8c497fff237d7b4e07e9ef1a640887fa4fb765647f86fbe00f969ff6280ce2bb"}, - {file = "scikit_learn-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0d6ae97234d5d7079dc0040990a6f7aeb97cb7fa7e8945f1999a429b23569e0a"}, - {file = "scikit_learn-1.8.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:edec98c5e7c128328124a029bceb09eda2d526997780fef8d65e9a69eead963e"}, - {file = "scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:74b66d8689d52ed04c271e1329f0c61635bcaf5b926db9b12d58914cdc01fe57"}, - {file = "scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8fdf95767f989b0cfedb85f7ed8ca215d4be728031f56ff5a519ee1e3276dc2e"}, - {file = "scikit_learn-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:2de443b9373b3b615aec1bb57f9baa6bb3a9bd093f1269ba95c17d870422b271"}, - {file = "scikit_learn-1.8.0-cp313-cp313-win_arm64.whl", hash = "sha256:eddde82a035681427cbedded4e6eff5e57fa59216c2e3e90b10b19ab1d0a65c3"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7cc267b6108f0a1499a734167282c00c4ebf61328566b55ef262d48e9849c735"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72358cce49465d140cc4e7792015bb1f0296a9742d5622c67e31399b75468b9e"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:80832434a6cc114f5219211eec13dcbc16c2bac0e31ef64c6d346cde3cf054cb"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ee787491dbfe082d9c3013f01f5991658b0f38aa8177e4cd4bf434c58f551702"}, - {file = "scikit_learn-1.8.0-cp313-cp313t-win_arm64.whl", hash = "sha256:bf97c10a3f5a7543f9b88cbf488d33d175e9146115a451ae34568597ba33dcde"}, - {file = "scikit_learn-1.8.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c22a2da7a198c28dd1a6e1136f19c830beab7fdca5b3e5c8bba8394f8a5c45b3"}, - {file = "scikit_learn-1.8.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6b595b07a03069a2b1740dc08c2299993850ea81cce4fe19b2421e0c970de6b7"}, - {file = "scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:29ffc74089f3d5e87dfca4c2c8450f88bdc61b0fc6ed5d267f3988f19a1309f6"}, - {file = "scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb65db5d7531bccf3a4f6bec3462223bea71384e2cda41da0f10b7c292b9e7c4"}, - {file = "scikit_learn-1.8.0-cp314-cp314-win_amd64.whl", hash = "sha256:56079a99c20d230e873ea40753102102734c5953366972a71d5cb39a32bc40c6"}, - {file = "scikit_learn-1.8.0-cp314-cp314-win_arm64.whl", hash = "sha256:3bad7565bc9cf37ce19a7c0d107742b320c1285df7aab1a6e2d28780df167242"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:4511be56637e46c25721e83d1a9cea9614e7badc7040c4d573d75fbe257d6fd7"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:a69525355a641bf8ef136a7fa447672fb54fe8d60cab5538d9eb7c6438543fb9"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c2656924ec73e5939c76ac4c8b026fc203b83d8900362eb2599d8aee80e4880f"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15fc3b5d19cc2be65404786857f2e13c70c83dd4782676dd6814e3b89dc8f5b9"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-win_amd64.whl", hash = "sha256:00d6f1d66fbcf4eba6e356e1420d33cc06c70a45bb1363cd6f6a8e4ebbbdece2"}, - {file = "scikit_learn-1.8.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f28dd15c6bb0b66ba09728cf09fd8736c304be29409bd8445a080c1280619e8c"}, - {file = "scikit_learn-1.8.0.tar.gz", hash = "sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd"}, -] - -[package.dependencies] -joblib = ">=1.3.0" -numpy = ">=1.24.1" -scipy = ">=1.10.0" -threadpoolctl = ">=3.2.0" - -[package.extras] -benchmark = ["matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "pandas (>=1.5.0)"] -build = ["cython (>=3.1.2)", "meson-python (>=0.17.1)", "numpy (>=1.24.1)", "scipy (>=1.10.0)"] -docs = ["Pillow (>=10.1.0)", "matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "plotly (>=5.18.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.22.0)", "seaborn (>=0.13.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"] -examples = ["matplotlib (>=3.6.1)", "pandas (>=1.5.0)", "plotly (>=5.18.0)", "pooch (>=1.8.0)", "scikit-image (>=0.22.0)", "seaborn (>=0.13.0)"] -install = ["joblib (>=1.3.0)", "numpy (>=1.24.1)", "scipy (>=1.10.0)", "threadpoolctl (>=3.2.0)"] -maintenance = ["conda-lock (==3.0.1)"] -tests = ["matplotlib (>=3.6.1)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pyamg (>=5.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)"] - -[[package]] -name = "scipy" -version = "1.15.3" -description = "Fundamental algorithms for scientific computing in Python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, - {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, - {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f"}, - {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92"}, - {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82"}, - {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40"}, - {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e"}, - {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c"}, - {file = "scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13"}, - {file = "scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b"}, - {file = "scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba"}, - {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65"}, - {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1"}, - {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889"}, - {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982"}, - {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9"}, - {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594"}, - {file = "scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb"}, - {file = "scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019"}, - {file = "scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6"}, - {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477"}, - {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c"}, - {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45"}, - {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49"}, - {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e"}, - {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539"}, - {file = "scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed"}, - {file = "scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759"}, - {file = "scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62"}, - {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb"}, - {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730"}, - {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825"}, - {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7"}, - {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11"}, - {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126"}, - {file = "scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163"}, - {file = "scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8"}, - {file = "scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5"}, - {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e"}, - {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb"}, - {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723"}, - {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb"}, - {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4"}, - {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5"}, - {file = "scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca"}, - {file = "scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf"}, -] - -[package.dependencies] -numpy = ">=1.23.5,<2.5" - -[package.extras] -dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] -doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] - -[[package]] -name = "scipy" -version = "1.16.3" -description = "Fundamental algorithms for scientific computing in Python" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "scipy-1.16.3-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:40be6cf99e68b6c4321e9f8782e7d5ff8265af28ef2cd56e9c9b2638fa08ad97"}, - {file = "scipy-1.16.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:8be1ca9170fcb6223cc7c27f4305d680ded114a1567c0bd2bfcbf947d1b17511"}, - {file = "scipy-1.16.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:bea0a62734d20d67608660f69dcda23e7f90fb4ca20974ab80b6ed40df87a005"}, - {file = "scipy-1.16.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:2a207a6ce9c24f1951241f4693ede2d393f59c07abc159b2cb2be980820e01fb"}, - {file = "scipy-1.16.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:532fb5ad6a87e9e9cd9c959b106b73145a03f04c7d57ea3e6f6bb60b86ab0876"}, - {file = "scipy-1.16.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0151a0749efeaaab78711c78422d413c583b8cdd2011a3c1d6c794938ee9fdb2"}, - {file = "scipy-1.16.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b7180967113560cca57418a7bc719e30366b47959dd845a93206fbed693c867e"}, - {file = "scipy-1.16.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:deb3841c925eeddb6afc1e4e4a45e418d19ec7b87c5df177695224078e8ec733"}, - {file = "scipy-1.16.3-cp311-cp311-win_amd64.whl", hash = "sha256:53c3844d527213631e886621df5695d35e4f6a75f620dca412bcd292f6b87d78"}, - {file = "scipy-1.16.3-cp311-cp311-win_arm64.whl", hash = "sha256:9452781bd879b14b6f055b26643703551320aa8d79ae064a71df55c00286a184"}, - {file = "scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6"}, - {file = "scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07"}, - {file = "scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9"}, - {file = "scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686"}, - {file = "scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203"}, - {file = "scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1"}, - {file = "scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe"}, - {file = "scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70"}, - {file = "scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc"}, - {file = "scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2"}, - {file = "scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c"}, - {file = "scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d"}, - {file = "scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9"}, - {file = "scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4"}, - {file = "scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959"}, - {file = "scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88"}, - {file = "scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234"}, - {file = "scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d"}, - {file = "scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304"}, - {file = "scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2"}, - {file = "scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b"}, - {file = "scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079"}, - {file = "scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a"}, - {file = "scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119"}, - {file = "scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c"}, - {file = "scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e"}, - {file = "scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135"}, - {file = "scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6"}, - {file = "scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc"}, - {file = "scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a"}, - {file = "scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6"}, - {file = "scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657"}, - {file = "scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26"}, - {file = "scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc"}, - {file = "scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22"}, - {file = "scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc"}, - {file = "scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0"}, - {file = "scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800"}, - {file = "scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d"}, - {file = "scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f"}, - {file = "scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c"}, - {file = "scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40"}, - {file = "scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d"}, - {file = "scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa"}, - {file = "scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8"}, - {file = "scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353"}, - {file = "scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146"}, - {file = "scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d"}, - {file = "scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7"}, - {file = "scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562"}, - {file = "scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb"}, -] - -[package.dependencies] -numpy = ">=1.25.2,<2.6" - -[package.extras] -dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] -doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "linkify-it-py", "matplotlib (>=3.5)", "myst-nb (>=1.2.0)", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.2.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest (>=8.0.0)", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] - -[[package]] -name = "seaborn" -version = "0.13.2" -description = "Statistical data visualization" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, - {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, -] - -[package.dependencies] -matplotlib = ">=3.4,<3.6.1 || >3.6.1" -numpy = ">=1.20,<1.24.0 || >1.24.0" -pandas = ">=1.2" - -[package.extras] -dev = ["flake8", "flit", "mypy", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-xdist"] -docs = ["ipykernel", "nbconvert", "numpydoc", "pydata_sphinx_theme (==0.10.0rc2)", "pyyaml", "sphinx (<6.0.0)", "sphinx-copybutton", "sphinx-design", "sphinx-issues"] -stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"] - -[[package]] -name = "send2trash" -version = "2.1.0" -description = "Send file to trash natively under Mac OS X, Windows and Linux" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "send2trash-2.1.0-py3-none-any.whl", hash = "sha256:0da2f112e6d6bb22de6aa6daa7e144831a4febf2a87261451c4ad849fe9a873c"}, - {file = "send2trash-2.1.0.tar.gz", hash = "sha256:1c72b39f09457db3c05ce1d19158c2cbef4c32b8bedd02c155e49282b7ea7459"}, -] - -[package.extras] -nativelib = ["pyobjc (>=9.0) ; sys_platform == \"darwin\"", "pywin32 (>=305) ; sys_platform == \"win32\""] -test = ["pytest (>=8)"] - -[[package]] -name = "setuptools" -version = "80.10.2" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.9" -groups = ["main", "dev", "optim-torch", "shiny"] -files = [ - {file = "setuptools-80.10.2-py3-none-any.whl", hash = "sha256:95b30ddfb717250edb492926c92b5221f7ef3fbcc2b07579bcd4a27da21d0173"}, - {file = "setuptools-80.10.2.tar.gz", hash = "sha256:8b0e9d10c784bf7d262c4e5ec5d4ec94127ce206e8738f29a437945fbc219b70"}, -] -markers = {optim-torch = "python_version >= \"3.12\"", shiny = "python_version >= \"3.12\""} - -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] -core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] -enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] - -[[package]] -name = "shiny" -version = "1.5.1" -description = "A web development framework for Python." -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -files = [ - {file = "shiny-1.5.1-py3-none-any.whl", hash = "sha256:5ed60168e94fce0b7fc65bc04b92398e2611a2410acbcb850f8ae3001b99de40"}, - {file = "shiny-1.5.1.tar.gz", hash = "sha256:482fa54635a6dc7e914cdbaa9099fe445790af3053d849b4e9a81e0f61677d37"}, -] - -[package.dependencies] -asgiref = ">=3.5.2" -click = {version = ">=8.1.4", markers = "platform_system != \"Emscripten\""} -htmltools = ">=0.6.0" -linkify-it-py = ">=1.0" -markdown-it-py = ">=1.1.0" -mdit-py-plugins = ">=0.3.0" -narwhals = ">=1.10.0" -orjson = ">=3.10.7" -packaging = ">=20.9" -platformdirs = ">=2.1.0" -prompt-toolkit = {version = "*", markers = "platform_system != \"Emscripten\""} -python-multipart = {version = ">=0.0.7", markers = "platform_system != \"Emscripten\""} -questionary = {version = ">=2.0.0", markers = "platform_system != \"Emscripten\""} -setuptools = {version = "*", markers = "python_version >= \"3.12\""} -shinychat = ">=0.1.0" -starlette = "*" -typing-extensions = ">=4.10.0" -uvicorn = {version = ">=0.16.0", markers = "platform_system != \"Emscripten\""} -watchfiles = {version = ">=0.18.0", markers = "platform_system != \"Emscripten\""} -websockets = ">=13.0" - -[package.extras] -add-test = ["anthropic (>=0.62.0)", "chatlas[anthropic,openai]", "inspect-ai (>=0.3.129) ; python_version >= \"3.10\"", "openai (>=1.104.1)", "playwright (>=1.48.0)", "pytest (>=6.2.4)", "pytest-playwright (>=0.5.2)", "pytest-timeout"] -dev = ["Flake8-pyproject (>=1.2.3)", "aiohttp", "beautifulsoup4", "black (>=24.0)", "brand_yml (>=0.1.0)", "chatlas (>=0.6.1)", "flake8 (>=6.0.0)", "flake8-bugbear (>=23.2.13)", "isort (>=5.10.1)", "libsass (>=0.23.0)", "matplotlib", "numpy", "pandas", "pandas-stubs", "polars", "pre-commit (>=2.15.0)", "pyright (>=1.1.407)", "python-dotenv", "shinyswatch (>=0.7.0)", "wheel"] -doc = ["griffe (>=1.3.2)", "jupyter", "jupyter_client (<8.0.0)", "pydantic (>=2.7.4)", "quartodoc (>=0.8.1)", "shinylive", "tabulate"] -test = ["anywidget", "astropy", "bokeh", "coverage", "dask[dataframe]", "duckdb", "faicons", "folium", "geodatasets", "geopandas", "great_tables", "holoviews", "ipyleaflet", "missingno", "palmerpenguins", "playwright (>=1.48.0)", "plotly", "plotnine", "polars", "psutil", "pyarrow", "pyarrow-stubs", "pytest (>=6.2.4)", "pytest-asyncio (>=0.17.2)", "pytest-cov", "pytest-playwright (>=0.5.2)", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist", "ridgeplot", "rsconnect-python", "scikit-learn", "seaborn", "shinywidgets", "suntime", "syrupy (>=4.7.1)", "timezonefinder ; platform_system != \"Windows\"", "xarray"] -theme = ["brand_yml (>=0.1.0)", "libsass (>=0.23.0)"] - -[[package]] -name = "shinychat" -version = "0.2.8" -description = "An AI Chat interface for Shiny apps." -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -files = [ - {file = "shinychat-0.2.8-py3-none-any.whl", hash = "sha256:6742a2354257280458269a8b5675f1254e5583be34b6eb1a626de44c0323286a"}, - {file = "shinychat-0.2.8.tar.gz", hash = "sha256:d27f28ddf1d512a05ef2cc2f0cffbb75b5b6e3157d5e3690ce4e63d18bfa7492"}, -] - -[package.dependencies] -htmltools = ">=0.6.0" -shiny = ">=1.4.0" - -[package.extras] -providers = ["anthropic ; python_version >= \"3.11\"", "chatlas[mcp] (>=0.12.0)", "google-generativeai", "langchain-core", "ollama (>=0.4.0)", "openai", "pydantic", "tokenizers"] -test = ["coverage (>=7.8.2)", "faicons", "ipyleaflet", "pandas", "playwright (>=1.43.0)", "plotly", "pyright (>=1.1.398)", "pytest (>=6.2.4)", "pytest-playwright (>=0.3.0)", "shinylive", "shinywidgets", "tox-uv (>=1)"] - -[[package]] -name = "six" -version = "1.17.0" -description = "Python 2 and 3 compatibility utilities" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -groups = ["main", "dev"] -files = [ - {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, - {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, -] - -[[package]] -name = "snirf" -version = "0.8.0" -description = "Interface and validator for SNIRF files" -optional = false -python-versions = ">=3.6.0" -groups = ["main"] -files = [ - {file = "snirf-0.8.0-py3-none-any.whl", hash = "sha256:85eed4f9e7bb1d98f3afb4751607da20dd216bdcb159090a212abc9815b12cbe"}, - {file = "snirf-0.8.0.tar.gz", hash = "sha256:e78f207608b986ab2df773bba3475895a792ee699451423ca5f0cfad50a17b8a"}, -] - -[package.dependencies] -colorama = "*" -h5py = ">=3.1.0" -numpy = "*" -pip = "*" -setuptools = "*" -termcolor = "*" - -[[package]] -name = "soupsieve" -version = "2.8.3" -description = "A modern CSS selector implementation for Beautiful Soup." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95"}, - {file = "soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349"}, -] - -[[package]] -name = "stack-data" -version = "0.6.3" -description = "Extract data from python stack frames and tracebacks for informative displays" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, - {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, -] - -[package.dependencies] -asttokens = ">=2.1.0" -executing = ">=1.2.0" -pure-eval = "*" - -[package.extras] -tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] - -[[package]] -name = "starlette" -version = "0.52.1" -description = "The little ASGI library that shines." -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -files = [ - {file = "starlette-0.52.1-py3-none-any.whl", hash = "sha256:0029d43eb3d273bc4f83a08720b4912ea4b071087a3b48db01b7c839f7954d74"}, - {file = "starlette-0.52.1.tar.gz", hash = "sha256:834edd1b0a23167694292e94f597773bc3f89f362be6effee198165a35d62933"}, -] - -[package.dependencies] -anyio = ">=3.6.2,<5" -typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""} - -[package.extras] -full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"] - -[[package]] -name = "statsmodels" -version = "0.14.6" -description = "Statistical computations and models for Python" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0"}, - {file = "statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9"}, - {file = "statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e93bd5d220f3cb6fc5fc1bffd5b094966cab8ee99f6c57c02e95710513d6ac3f"}, - {file = "statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06eec42d682fdb09fe5d70a05930857efb141754ec5a5056a03304c1b5e32fd9"}, - {file = "statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0444e88557df735eda7db330806fe09d51c9f888bb1f5906cb3a61fb1a3ed4a8"}, - {file = "statsmodels-0.14.6-cp310-cp310-win_amd64.whl", hash = "sha256:e83a9abe653835da3b37fb6ae04b45480c1de11b3134bd40b09717192a1456ea"}, - {file = "statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4"}, - {file = "statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6"}, - {file = "statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb"}, - {file = "statsmodels-0.14.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a3764ba8195c9baf0925a96da0743ff218067a269f01d155ca3558deed2658ca"}, - {file = "statsmodels-0.14.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9e8d2e519852adb1b420e018f5ac6e6684b2b877478adf7fda2cfdb58f5acb5d"}, - {file = "statsmodels-0.14.6-cp311-cp311-win_amd64.whl", hash = "sha256:2738a00fca51196f5a7d44b06970ace6b8b30289839e4808d656f8a98e35faa7"}, - {file = "statsmodels-0.14.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fe76140ae7adc5ff0e60a3f0d56f4fffef484efa803c3efebf2fcd734d72ecb5"}, - {file = "statsmodels-0.14.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26d4f0ed3b31f3c86f83a92f5c1f5cbe63fc992cd8915daf28ca49be14463a1c"}, - {file = "statsmodels-0.14.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8c00a42863e4f4733ac9d078bbfad816249c01451740e6f5053ecc7db6d6368"}, - {file = "statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b58cf7474aa9e7e3b0771a66537148b2df9b5884fbf156096c0e6c1ff0469d"}, - {file = "statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:81e7dcc5e9587f2567e52deaff5220b175bf2f648951549eae5fc9383b62bc37"}, - {file = "statsmodels-0.14.6-cp312-cp312-win_amd64.whl", hash = "sha256:b5eb07acd115aa6208b4058211138393a7e6c2cf12b6f213ede10f658f6a714f"}, - {file = "statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47ee7af083623d2091954fa71c7549b8443168f41b7c5dce66510274c50fd73e"}, - {file = "statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa60d82e29fcd0a736e86feb63a11d2380322d77a9369a54be8b0965a3985f71"}, - {file = "statsmodels-0.14.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:89ee7d595f5939cc20bf946faedcb5137d975f03ae080f300ebb4398f16a5bd4"}, - {file = "statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589"}, - {file = "statsmodels-0.14.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f1c08befa85e93acc992b72a390ddb7bd876190f1360e61d10cf43833463bc9c"}, - {file = "statsmodels-0.14.6-cp313-cp313-win_amd64.whl", hash = "sha256:8021271a79f35b842c02a1794465a651a9d06ec2080f76ebc3b7adce77d08233"}, - {file = "statsmodels-0.14.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:00781869991f8f02ad3610da6627fd26ebe262210287beb59761982a8fa88cae"}, - {file = "statsmodels-0.14.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:73f305fbf31607b35ce919fae636ab8b80d175328ed38fdc6f354e813b86ee37"}, - {file = "statsmodels-0.14.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e443e7077a6e2d3faeea72f5a92c9f12c63722686eb80bb40a0f04e4a7e267ad"}, - {file = "statsmodels-0.14.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3414e40c073d725007a6603a18247ab7af3467e1af4a5e5a24e4c27bc26673b4"}, - {file = "statsmodels-0.14.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a518d3f9889ef920116f9fa56d0338069e110f823926356946dae83bc9e33e19"}, - {file = "statsmodels-0.14.6-cp314-cp314-win_amd64.whl", hash = "sha256:151b73e29f01fe619dbce7f66d61a356e9d1fe5e906529b78807df9189c37721"}, - {file = "statsmodels-0.14.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4d0c1b0f9f6915619e2a0d3853e5763d4d66876892ad352e7d7b93a737556978"}, - {file = "statsmodels-0.14.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9e0fc891d6358bf376cc0ae1fee10a650478172ae9ba359daba1785fc496cd1a"}, - {file = "statsmodels-0.14.6-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f52ef0f0b63b8fd11e1ef1c2a1e73a410720b8715c9a83a26d733b6815597fe"}, - {file = "statsmodels-0.14.6-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b328eafa86a2a67303fdb1d25677d15b70cd2a5229aabec7670ec5ea840f1375"}, - {file = "statsmodels-0.14.6-cp39-cp39-win_amd64.whl", hash = "sha256:3bef39f8587754f2d644b2e831e102fa08ace9a5a1af4b583b122e6fd3e083ab"}, - {file = "statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a"}, -] - -[package.dependencies] -numpy = ">=1.22.3,<3" -packaging = ">=21.3" -pandas = ">=1.4,<2.1.0 || >2.1.0" -patsy = ">=0.5.6" -scipy = ">=1.8,<1.9.2 || >1.9.2" - -[package.extras] -build = ["cython (>=3.0.10)"] -develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "jinja2", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty ; os_name == \"nt\"", "setuptools_scm[toml] (>=8.0,<9.0)"] -docs = ["ipykernel", "jupyter_client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"] - -[[package]] -name = "sympy" -version = "1.14.0" -description = "Computer algebra system (CAS) in Python" -optional = false -python-versions = ">=3.9" -groups = ["optim-torch"] -files = [ - {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, - {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, -] - -[package.dependencies] -mpmath = ">=1.1.0,<1.4" - -[package.extras] -dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] - -[[package]] -name = "tabulate" -version = "0.9.0" -description = "Pretty-print tabular data" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, -] - -[package.extras] -widechars = ["wcwidth"] - -[[package]] -name = "termcolor" -version = "3.3.0" -description = "ANSI color formatting for output in terminal" -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5"}, - {file = "termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5"}, -] - -[package.extras] -tests = ["pytest", "pytest-cov"] - -[[package]] -name = "terminado" -version = "0.18.1" -description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, - {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, -] - -[package.dependencies] -ptyprocess = {version = "*", markers = "os_name != \"nt\""} -pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} -tornado = ">=6.1.0" - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] -typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] - -[[package]] -name = "threadpoolctl" -version = "3.6.0" -description = "threadpoolctl" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, - {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, -] - -[[package]] -name = "tifffile" -version = "2025.5.10" -description = "Read and write TIFF files" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "tifffile-2025.5.10-py3-none-any.whl", hash = "sha256:e37147123c0542d67bc37ba5cdd67e12ea6fbe6e86c52bee037a9eb6a064e5ad"}, - {file = "tifffile-2025.5.10.tar.gz", hash = "sha256:018335d34283aa3fd8c263bae5c3c2b661ebc45548fde31504016fcae7bf1103"}, -] - -[package.dependencies] -numpy = "*" - -[package.extras] -all = ["defusedxml", "fsspec", "imagecodecs (>=2024.12.30)", "lxml", "matplotlib", "zarr (<3)"] -codecs = ["imagecodecs (>=2024.12.30)"] -plot = ["matplotlib"] -test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "roifile", "xarray", "zarr (<3)"] -xml = ["defusedxml", "lxml"] -zarr = ["fsspec", "zarr (<3)"] - -[[package]] -name = "tifffile" -version = "2026.1.28" -description = "Read and write TIFF files" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "tifffile-2026.1.28-py3-none-any.whl", hash = "sha256:45b08a19cf603dd99952eff54a61519626a1912e4e2a4d355f05938fe4a6e9fd"}, - {file = "tifffile-2026.1.28.tar.gz", hash = "sha256:537ae6466a8bb555c336108bb1878d8319d52c9c738041d3349454dea6956e1c"}, -] - -[package.dependencies] -numpy = "*" - -[package.extras] -all = ["defusedxml", "fsspec", "imagecodecs (>=2025.11.11)", "kerchunk", "lxml", "matplotlib", "zarr (>=3.1.3)"] -codecs = ["imagecodecs (>=2025.11.11)"] -plot = ["matplotlib"] -test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "kerchunk", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "requests", "roifile", "xarray", "zarr (>=3.1.3)"] -xml = ["defusedxml", "lxml"] -zarr = ["fsspec", "kerchunk", "zarr (>=3.1.3)"] - -[[package]] -name = "tinycss2" -version = "1.4.0" -description = "A tiny CSS parser" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"}, - {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"}, -] - -[package.dependencies] -webencodings = ">=0.4" - -[package.extras] -doc = ["sphinx", "sphinx_rtd_theme"] -test = ["pytest", "ruff"] - -[[package]] -name = "tomli" -version = "2.4.0" -description = "A lil' TOML parser" -optional = false -python-versions = ">=3.8" -groups = ["main", "dev"] -markers = "python_version == \"3.10\"" -files = [ - {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"}, - {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"}, - {file = "tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95"}, - {file = "tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76"}, - {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d"}, - {file = "tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576"}, - {file = "tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a"}, - {file = "tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa"}, - {file = "tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614"}, - {file = "tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1"}, - {file = "tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8"}, - {file = "tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a"}, - {file = "tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1"}, - {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b"}, - {file = "tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51"}, - {file = "tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729"}, - {file = "tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da"}, - {file = "tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3"}, - {file = "tomli-2.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0"}, - {file = "tomli-2.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e"}, - {file = "tomli-2.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4"}, - {file = "tomli-2.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e"}, - {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c"}, - {file = "tomli-2.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f"}, - {file = "tomli-2.4.0-cp313-cp313-win32.whl", hash = "sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86"}, - {file = "tomli-2.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87"}, - {file = "tomli-2.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132"}, - {file = "tomli-2.4.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6"}, - {file = "tomli-2.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc"}, - {file = "tomli-2.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66"}, - {file = "tomli-2.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d"}, - {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702"}, - {file = "tomli-2.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8"}, - {file = "tomli-2.4.0-cp314-cp314-win32.whl", hash = "sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776"}, - {file = "tomli-2.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475"}, - {file = "tomli-2.4.0-cp314-cp314-win_arm64.whl", hash = "sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2"}, - {file = "tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9"}, - {file = "tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0"}, - {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df"}, - {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d"}, - {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f"}, - {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b"}, - {file = "tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087"}, - {file = "tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd"}, - {file = "tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4"}, - {file = "tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a"}, - {file = "tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c"}, -] - -[[package]] -name = "tomlkit" -version = "0.14.0" -description = "Style preserving TOML library" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "tomlkit-0.14.0-py3-none-any.whl", hash = "sha256:592064ed85b40fa213469f81ac584f67a4f2992509a7c3ea2d632208623a3680"}, - {file = "tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064"}, -] - -[[package]] -name = "torch" -version = "2.10.0" -description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" -optional = false -python-versions = ">=3.10" -groups = ["optim-torch"] -files = [ - {file = "torch-2.10.0-1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:c37fc46eedd9175f9c81814cc47308f1b42cfe4987e532d4b423d23852f2bf63"}, - {file = "torch-2.10.0-1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:f699f31a236a677b3118bc0a3ef3d89c0c29b5ec0b20f4c4bf0b110378487464"}, - {file = "torch-2.10.0-1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6abb224c2b6e9e27b592a1c0015c33a504b00a0e0938f1499f7f514e9b7bfb5c"}, - {file = "torch-2.10.0-1-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:7350f6652dfd761f11f9ecb590bfe95b573e2961f7a242eccb3c8e78348d26fe"}, - {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d"}, - {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:aaf663927bcd490ae971469a624c322202a2a1e68936eb952535ca4cd3b90444"}, - {file = "torch-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:a4be6a2a190b32ff5c8002a0977a25ea60e64f7ba46b1be37093c141d9c49aeb"}, - {file = "torch-2.10.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:35e407430795c8d3edb07a1d711c41cc1f9eaddc8b2f1cc0a165a6767a8fb73d"}, - {file = "torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4"}, - {file = "torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763"}, - {file = "torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd"}, - {file = "torch-2.10.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:b7bd80f3477b830dd166c707c5b0b82a898e7b16f59a7d9d42778dd058272e8b"}, - {file = "torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:5fd4117d89ffd47e3dcc71e71a22efac24828ad781c7e46aaaf56bf7f2796acf"}, - {file = "torch-2.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:787124e7db3b379d4f1ed54dd12ae7c741c16a4d29b49c0226a89bea50923ffb"}, - {file = "torch-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c66c61f44c5f903046cc696d088e21062644cbe541c7f1c4eaae88b2ad23547"}, - {file = "torch-2.10.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6d3707a61863d1c4d6ebba7be4ca320f42b869ee657e9b2c21c736bf17000294"}, - {file = "torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5c4d217b14741e40776dd7074d9006fd28b8a97ef5654db959d8635b2fe5f29b"}, - {file = "torch-2.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6b71486353fce0f9714ca0c9ef1c850a2ae766b409808acd58e9678a3edb7738"}, - {file = "torch-2.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:c2ee399c644dc92ef7bc0d4f7e74b5360c37cdbe7c5ba11318dda49ffac2bc57"}, - {file = "torch-2.10.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:3202429f58309b9fa96a614885eace4b7995729f44beb54d3e4a47773649d382"}, - {file = "torch-2.10.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:aae1b29cd68e50a9397f5ee897b9c24742e9e306f88a807a27d617f07adb3bd8"}, - {file = "torch-2.10.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:6021db85958db2f07ec94e1bc77212721ba4920c12a18dc552d2ae36a3eb163f"}, - {file = "torch-2.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ff43db38af76fda183156153983c9a096fc4c78d0cd1e07b14a2314c7f01c2c8"}, - {file = "torch-2.10.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:cdf2a523d699b70d613243211ecaac14fe9c5df8a0b0a9c02add60fb2a413e0f"}, - {file = "torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:bf0d9ff448b0218e0433aeb198805192346c4fd659c852370d5cc245f602a06a"}, - {file = "torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:233aed0659a2503b831d8a67e9da66a62c996204c0bba4f4c442ccc0c68a3f60"}, - {file = "torch-2.10.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:682497e16bdfa6efeec8cde66531bc8d1fbbbb4d8788ec6173c089ed3cc2bfe5"}, - {file = "torch-2.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:6528f13d2a8593a1a412ea07a99812495bec07e9224c28b2a25c0a30c7da025c"}, - {file = "torch-2.10.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:f5ab4ba32383061be0fb74bda772d470140a12c1c3b58a0cfbf3dae94d164c28"}, - {file = "torch-2.10.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:716b01a176c2a5659c98f6b01bf868244abdd896526f1c692712ab36dbaf9b63"}, - {file = "torch-2.10.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:d8f5912ba938233f86361e891789595ff35ca4b4e2ac8fe3670895e5976731d6"}, - {file = "torch-2.10.0-cp314-cp314t-win_amd64.whl", hash = "sha256:71283a373f0ee2c89e0f0d5f446039bdabe8dbc3c9ccf35f0f784908b0acd185"}, -] - -[package.dependencies] -cuda-bindings = {version = "12.9.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -filelock = "*" -fsspec = ">=0.8.5" -jinja2 = "*" -networkx = ">=2.5.1" -nvidia-cublas-cu12 = {version = "12.8.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-cupti-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-nvrtc-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-runtime-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cudnn-cu12 = {version = "9.10.2.21", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cufft-cu12 = {version = "11.3.3.83", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cufile-cu12 = {version = "1.13.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-curand-cu12 = {version = "10.3.9.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusolver-cu12 = {version = "11.7.3.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusparse-cu12 = {version = "12.5.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusparselt-cu12 = {version = "0.7.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nccl-cu12 = {version = "2.27.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvjitlink-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvshmem-cu12 = {version = "3.4.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvtx-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -setuptools = {version = "*", markers = "python_version >= \"3.12\""} -sympy = ">=1.13.3" -triton = {version = "3.6.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -typing-extensions = ">=4.10.0" - -[package.extras] -opt-einsum = ["opt-einsum (>=3.3)"] -optree = ["optree (>=0.13.0)"] -pyyaml = ["pyyaml"] - -[[package]] -name = "tornado" -version = "6.5.4" -description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "tornado-6.5.4-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d6241c1a16b1c9e4cc28148b1cda97dd1c6cb4fb7068ac1bedc610768dff0ba9"}, - {file = "tornado-6.5.4-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2d50f63dda1d2cac3ae1fa23d254e16b5e38153758470e9956cbc3d813d40843"}, - {file = "tornado-6.5.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1cf66105dc6acb5af613c054955b8137e34a03698aa53272dbda4afe252be17"}, - {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50ff0a58b0dc97939d29da29cd624da010e7f804746621c78d14b80238669335"}, - {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5fb5e04efa54cf0baabdd10061eb4148e0be137166146fff835745f59ab9f7f"}, - {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9c86b1643b33a4cd415f8d0fe53045f913bf07b4a3ef646b735a6a86047dda84"}, - {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:6eb82872335a53dd063a4f10917b3efd28270b56a33db69009606a0312660a6f"}, - {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6076d5dda368c9328ff41ab5d9dd3608e695e8225d1cd0fd1e006f05da3635a8"}, - {file = "tornado-6.5.4-cp39-abi3-win32.whl", hash = "sha256:1768110f2411d5cd281bac0a090f707223ce77fd110424361092859e089b38d1"}, - {file = "tornado-6.5.4-cp39-abi3-win_amd64.whl", hash = "sha256:fa07d31e0cd85c60713f2b995da613588aa03e1303d75705dca6af8babc18ddc"}, - {file = "tornado-6.5.4-cp39-abi3-win_arm64.whl", hash = "sha256:053e6e16701eb6cbe641f308f4c1a9541f91b6261991160391bfc342e8a551a1"}, - {file = "tornado-6.5.4.tar.gz", hash = "sha256:a22fa9047405d03260b483980635f0b041989d8bcc9a313f8fe18b411d84b1d7"}, -] - -[[package]] -name = "tqdm" -version = "4.67.1" -description = "Fast, Extensible Progress Meter" -optional = false -python-versions = ">=3.7" -groups = ["main"] -files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"] -discord = ["requests"] -notebook = ["ipywidgets (>=6)"] -slack = ["slack-sdk"] -telegram = ["requests"] - -[[package]] -name = "traitlets" -version = "5.14.3" -description = "Traitlets Python configuration system" -optional = false -python-versions = ">=3.8" -groups = ["dev"] -files = [ - {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, - {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, -] - -[package.extras] -docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] - -[[package]] -name = "triton" -version = "3.6.0" -description = "A language and compiler for custom Deep Learning operations" -optional = false -python-versions = "<3.15,>=3.10" -groups = ["optim-torch"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" -files = [ - {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c723cfb12f6842a0ae94ac307dba7e7a44741d720a40cf0e270ed4a4e3be781"}, - {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea"}, - {file = "triton-3.6.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:49df5ef37379c0c2b5c0012286f80174fcf0e073e5ade1ca9a86c36814553651"}, - {file = "triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3"}, - {file = "triton-3.6.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:374f52c11a711fd062b4bfbb201fd9ac0a5febd28a96fb41b4a0f51dde3157f4"}, - {file = "triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca"}, - {file = "triton-3.6.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:448e02fe6dc898e9e5aa89cf0ee5c371e99df5aa5e8ad976a80b93334f3494fd"}, - {file = "triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9"}, - {file = "triton-3.6.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1722e172d34e32abc3eb7711d0025bb69d7959ebea84e3b7f7a341cd7ed694d6"}, - {file = "triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f"}, - {file = "triton-3.6.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef5523241e7d1abca00f1d240949eebdd7c673b005edbbce0aca95b8191f1d43"}, - {file = "triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803"}, - {file = "triton-3.6.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b3a97e8ed304dfa9bd23bb41ca04cdf6b2e617d5e782a8653d616037a5d537d"}, - {file = "triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7"}, -] - -[package.extras] -build = ["cmake (>=3.20,<4.0)", "lit"] -tests = ["autopep8", "isort", "llnl-hatchet", "numpy", "pytest", "pytest-forked", "pytest-xdist", "scipy (>=1.7.1)"] -tutorials = ["matplotlib", "pandas", "tabulate"] - -[[package]] -name = "typing-extensions" -version = "4.15.0" -description = "Backported and Experimental Type Hints for Python 3.9+" -optional = false -python-versions = ">=3.9" -groups = ["main", "dev", "optim-torch", "shiny"] -files = [ - {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, - {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, -] -markers = {main = "python_version == \"3.10\""} - -[[package]] -name = "tzdata" -version = "2025.3" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -groups = ["main", "dev"] -files = [ - {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, - {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, -] -markers = {main = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version == \"3.10\""} - -[[package]] -name = "uc-micro-py" -version = "1.0.3" -description = "Micro subset of unicode data files for linkify-it-py projects." -optional = false -python-versions = ">=3.7" -groups = ["shiny"] -files = [ - {file = "uc-micro-py-1.0.3.tar.gz", hash = "sha256:d321b92cff673ec58027c04015fcaa8bb1e005478643ff4a500882eaab88c48a"}, - {file = "uc_micro_py-1.0.3-py3-none-any.whl", hash = "sha256:db1dffff340817673d7b466ec86114a9dc0e9d4d9b5ba229d9d60e5c12600cd5"}, -] - -[package.extras] -test = ["coverage", "pytest", "pytest-cov"] - -[[package]] -name = "uri-template" -version = "1.3.0" -description = "RFC 6570 URI Template Processor" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, - {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, -] - -[package.extras] -dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] - -[[package]] -name = "urllib3" -version = "2.6.3" -description = "HTTP library with thread-safe connection pooling, file post, and more." -optional = false -python-versions = ">=3.9" -groups = ["main", "dev"] -files = [ - {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, - {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, -] - -[package.extras] -brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] -h2 = ["h2 (>=4,<5)"] -socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] - -[[package]] -name = "uvicorn" -version = "0.40.0" -description = "The lightning-fast ASGI server." -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -markers = "platform_system != \"Emscripten\"" -files = [ - {file = "uvicorn-0.40.0-py3-none-any.whl", hash = "sha256:c6c8f55bc8bf13eb6fa9ff87ad62308bbbc33d0b67f84293151efe87e0d5f2ee"}, - {file = "uvicorn-0.40.0.tar.gz", hash = "sha256:839676675e87e73694518b5574fd0f24c9d97b46bea16df7b8c05ea1a51071ea"}, -] - -[package.dependencies] -click = ">=7.0" -h11 = ">=0.8" -typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} - -[package.extras] -standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] - -[[package]] -name = "watchdog" -version = "6.0.0" -description = "Filesystem events monitoring" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"}, - {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"}, - {file = "watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3"}, - {file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c"}, - {file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2"}, - {file = "watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c"}, - {file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948"}, - {file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860"}, - {file = "watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0"}, - {file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c"}, - {file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134"}, - {file = "watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b"}, - {file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e6f0e77c9417e7cd62af82529b10563db3423625c5fce018430b249bf977f9e8"}, - {file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:90c8e78f3b94014f7aaae121e6b909674df5b46ec24d6bebc45c44c56729af2a"}, - {file = "watchdog-6.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c"}, - {file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881"}, - {file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11"}, - {file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7a0e56874cfbc4b9b05c60c8a1926fedf56324bb08cfbc188969777940aef3aa"}, - {file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:e6439e374fc012255b4ec786ae3c4bc838cd7309a540e5fe0952d03687d8804e"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"}, - {file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"}, - {file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"}, - {file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"}, - {file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"}, - {file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"}, -] - -[package.extras] -watchmedo = ["PyYAML (>=3.10)"] - -[[package]] -name = "watchfiles" -version = "1.1.1" -description = "Simple, modern and high performance file watching and code reload in python." -optional = false -python-versions = ">=3.9" -groups = ["shiny"] -markers = "platform_system != \"Emscripten\"" -files = [ - {file = "watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c"}, - {file = "watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f0ab1c1af0cb38e3f598244c17919fb1a84d1629cc08355b0074b6d7f53138ac"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e84087b432b6ac94778de547e08611266f1f8ffad28c0ee4c82e028b0fc5966d"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863"}, - {file = "watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab"}, - {file = "watchfiles-1.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bbe1ef33d45bc71cf21364df962af171f96ecaeca06bd9e3d0b583efb12aec82"}, - {file = "watchfiles-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4"}, - {file = "watchfiles-1.1.1-cp310-cp310-win32.whl", hash = "sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844"}, - {file = "watchfiles-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e"}, - {file = "watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5"}, - {file = "watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f537afb3276d12814082a2e9b242bdcf416c2e8fd9f799a737990a1dbe906e5b"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b2cd9e04277e756a2e2d2543d65d1e2166d6fd4c9b183f8808634fda23f17b14"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bb9f66367023ae783551042d31b1d7fd422e8289eedd91f26754a66f44d5cff"}, - {file = "watchfiles-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebfd0861a83e6c3d1110b78ad54704486555246e542be3e2bb94195eabb2606"}, - {file = "watchfiles-1.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701"}, - {file = "watchfiles-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10"}, - {file = "watchfiles-1.1.1-cp311-cp311-win32.whl", hash = "sha256:de6da501c883f58ad50db3a32ad397b09ad29865b5f26f64c24d3e3281685849"}, - {file = "watchfiles-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4"}, - {file = "watchfiles-1.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e"}, - {file = "watchfiles-1.1.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d"}, - {file = "watchfiles-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd404be08018c37350f0d6e34676bd1e2889990117a2b90070b3007f172d0610"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8526e8f916bb5b9a0a777c8317c23ce65de259422bba5b31325a6fa6029d33af"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8979280bdafff686ba5e4d8f97840f929a87ed9cdf133cbbd42f7766774d2aa"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dcc5c24523771db3a294c77d94771abcfcb82a0e0ee8efd910c37c59ec1b31bb"}, - {file = "watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803"}, - {file = "watchfiles-1.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94"}, - {file = "watchfiles-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43"}, - {file = "watchfiles-1.1.1-cp312-cp312-win32.whl", hash = "sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9"}, - {file = "watchfiles-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9"}, - {file = "watchfiles-1.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:a625815d4a2bdca61953dbba5a39d60164451ef34c88d751f6c368c3ea73d404"}, - {file = "watchfiles-1.1.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18"}, - {file = "watchfiles-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f27db948078f3823a6bb3b465180db8ebecf26dd5dae6f6180bd87383b6b4428"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfb5862016acc9b869bb57284e6cb35fdf8e22fe59f7548858e2f971d045f150"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae"}, - {file = "watchfiles-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c755367e51db90e75b19454b680903631d41f9e3607fbd941d296a020c2d752d"}, - {file = "watchfiles-1.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c22c776292a23bfc7237a98f791b9ad3144b02116ff10d820829ce62dff46d0b"}, - {file = "watchfiles-1.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374"}, - {file = "watchfiles-1.1.1-cp313-cp313-win32.whl", hash = "sha256:bf0a91bfb5574a2f7fc223cf95eeea79abfefa404bf1ea5e339c0c1560ae99a0"}, - {file = "watchfiles-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42"}, - {file = "watchfiles-1.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:ac3cc5759570cd02662b15fbcd9d917f7ecd47efe0d6b40474eafd246f91ea18"}, - {file = "watchfiles-1.1.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da"}, - {file = "watchfiles-1.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce70f96a46b894b36eba678f153f052967a0d06d5b5a19b336ab0dbbd029f73e"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cb467c999c2eff23a6417e58d75e5828716f42ed8289fe6b77a7e5a91036ca70"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afaeff7696e0ad9f02cbb8f56365ff4686ab205fcf9c4c5b6fdfaaa16549dd04"}, - {file = "watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77"}, - {file = "watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef"}, - {file = "watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:f9a2ae5c91cecc9edd47e041a930490c31c3afb1f5e6d71de3dc671bfaca02bf"}, - {file = "watchfiles-1.1.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:d1715143123baeeaeadec0528bb7441103979a1d5f6fd0e1f915383fea7ea6d5"}, - {file = "watchfiles-1.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfff9740c69c0e4ed32416f013f3c45e2ae42ccedd1167ef2d805c000b6c71a5"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b27cf2eb1dda37b2089e3907d8ea92922b673c0c427886d4edc6b94d8dfe5db3"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510"}, - {file = "watchfiles-1.1.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05"}, - {file = "watchfiles-1.1.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6"}, - {file = "watchfiles-1.1.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81"}, - {file = "watchfiles-1.1.1-cp314-cp314-win32.whl", hash = "sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b"}, - {file = "watchfiles-1.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:c2047d0b6cea13b3316bdbafbfa0c4228ae593d995030fda39089d36e64fc03a"}, - {file = "watchfiles-1.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02"}, - {file = "watchfiles-1.1.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21"}, - {file = "watchfiles-1.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f096076119da54a6080e8920cbdaac3dbee667eb91dcc5e5b78840b87415bd44"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc"}, - {file = "watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c"}, - {file = "watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099"}, - {file = "watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01"}, - {file = "watchfiles-1.1.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c882d69f6903ef6092bedfb7be973d9319940d56b8427ab9187d1ecd73438a70"}, - {file = "watchfiles-1.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d6ff426a7cb54f310d51bfe83fe9f2bbe40d540c741dc974ebc30e6aa238f52e"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79ff6c6eadf2e3fc0d7786331362e6ef1e51125892c75f1004bd6b52155fb956"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c1f5210f1b8fc91ead1283c6fd89f70e76fb07283ec738056cf34d51e9c1d62c"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9c4702f29ca48e023ffd9b7ff6b822acdf47cb1ff44cb490a3f1d5ec8987e9c"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:acb08650863767cbc58bca4813b92df4d6c648459dcaa3d4155681962b2aa2d3"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08af70fd77eee58549cd69c25055dc344f918d992ff626068242259f98d598a2"}, - {file = "watchfiles-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c3631058c37e4a0ec440bf583bc53cdbd13e5661bb6f465bc1d88ee9a0a4d02"}, - {file = "watchfiles-1.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:cf57a27fb986c6243d2ee78392c503826056ffe0287e8794503b10fb51b881be"}, - {file = "watchfiles-1.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d7e7067c98040d646982daa1f37a33d3544138ea155536c2e0e63e07ff8a7e0f"}, - {file = "watchfiles-1.1.1-cp39-cp39-win32.whl", hash = "sha256:6c9c9262f454d1c4d8aaa7050121eb4f3aea197360553699520767daebf2180b"}, - {file = "watchfiles-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:74472234c8370669850e1c312490f6026d132ca2d396abfad8830b4f1c096957"}, - {file = "watchfiles-1.1.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3"}, - {file = "watchfiles-1.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2"}, - {file = "watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d"}, - {file = "watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b"}, - {file = "watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88"}, - {file = "watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336"}, - {file = "watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24"}, - {file = "watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49"}, - {file = "watchfiles-1.1.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cdab464fee731e0884c35ae3588514a9bcf718d0e2c82169c1c4a85cc19c3c7f"}, - {file = "watchfiles-1.1.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3dbd8cbadd46984f802f6d479b7e3afa86c42d13e8f0f322d669d79722c8ec34"}, - {file = "watchfiles-1.1.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5524298e3827105b61951a29c3512deb9578586abf3a7c5da4a8069df247cccc"}, - {file = "watchfiles-1.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b943d3668d61cfa528eb949577479d3b077fd25fb83c641235437bc0b5bc60e"}, - {file = "watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2"}, -] - -[package.dependencies] -anyio = ">=3.0.0" - -[[package]] -name = "wcmatch" -version = "10.1" -description = "Wildcard/glob file name matcher." -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "wcmatch-10.1-py3-none-any.whl", hash = "sha256:5848ace7dbb0476e5e55ab63c6bbd529745089343427caa5537f230cc01beb8a"}, - {file = "wcmatch-10.1.tar.gz", hash = "sha256:f11f94208c8c8484a16f4f48638a85d771d9513f4ab3f37595978801cb9465af"}, -] - -[package.dependencies] -bracex = ">=2.1.1" - -[[package]] -name = "wcwidth" -version = "0.5.0" -description = "Measures the displayed width of unicode strings in a terminal" -optional = false -python-versions = ">=3.8" -groups = ["dev", "shiny"] -files = [ - {file = "wcwidth-0.5.0-py3-none-any.whl", hash = "sha256:1efe1361b83b0ff7877b81ba57c8562c99cf812158b778988ce17ec061095695"}, - {file = "wcwidth-0.5.0.tar.gz", hash = "sha256:f89c103c949a693bf563377b2153082bf58e309919dfb7f27b04d862a0089333"}, -] -markers = {shiny = "platform_system != \"Emscripten\""} - -[[package]] -name = "webcolors" -version = "25.10.0" -description = "A library for working with the color formats defined by HTML and CSS." -optional = false -python-versions = ">=3.10" -groups = ["dev"] -files = [ - {file = "webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d"}, - {file = "webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf"}, -] - -[[package]] -name = "webencodings" -version = "0.5.1" -description = "Character encoding aliases for legacy web content" -optional = false -python-versions = "*" -groups = ["dev"] -files = [ - {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, - {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, -] - -[[package]] -name = "websocket-client" -version = "1.9.0" -description = "WebSocket client for Python with low level API options" -optional = false -python-versions = ">=3.9" -groups = ["dev"] -files = [ - {file = "websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef"}, - {file = "websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98"}, -] - -[package.extras] -docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx_rtd_theme (>=1.1.0)"] -optional = ["python-socks", "wsaccel"] -test = ["pytest", "websockets"] - -[[package]] -name = "websockets" -version = "16.0" -description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" -optional = false -python-versions = ">=3.10" -groups = ["shiny"] -files = [ - {file = "websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a"}, - {file = "websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0"}, - {file = "websockets-16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:583b7c42688636f930688d712885cf1531326ee05effd982028212ccc13e5957"}, - {file = "websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7d837379b647c0c4c2355c2499723f82f1635fd2c26510e1f587d89bc2199e72"}, - {file = "websockets-16.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df57afc692e517a85e65b72e165356ed1df12386ecb879ad5693be08fac65dde"}, - {file = "websockets-16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2b9f1e0d69bc60a4a87349d50c09a037a2607918746f07de04df9e43252c77a3"}, - {file = "websockets-16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:335c23addf3d5e6a8633f9f8eda77efad001671e80b95c491dd0924587ece0b3"}, - {file = "websockets-16.0-cp310-cp310-win32.whl", hash = "sha256:37b31c1623c6605e4c00d466c9d633f9b812ea430c11c8a278774a1fde1acfa9"}, - {file = "websockets-16.0-cp310-cp310-win_amd64.whl", hash = "sha256:8e1dab317b6e77424356e11e99a432b7cb2f3ec8c5ab4dabbcee6add48f72b35"}, - {file = "websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8"}, - {file = "websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad"}, - {file = "websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d"}, - {file = "websockets-16.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:08d7af67b64d29823fed316505a89b86705f2b7981c07848fb5e3ea3020c1abe"}, - {file = "websockets-16.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be95cfb0a4dae143eaed2bcba8ac23f4892d8971311f1b06f3c6b78952ee70b"}, - {file = "websockets-16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d6297ce39ce5c2e6feb13c1a996a2ded3b6832155fcfc920265c76f24c7cceb5"}, - {file = "websockets-16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1c1b30e4f497b0b354057f3467f56244c603a79c0d1dafce1d16c283c25f6e64"}, - {file = "websockets-16.0-cp311-cp311-win32.whl", hash = "sha256:5f451484aeb5cafee1ccf789b1b66f535409d038c56966d6101740c1614b86c6"}, - {file = "websockets-16.0-cp311-cp311-win_amd64.whl", hash = "sha256:8d7f0659570eefb578dacde98e24fb60af35350193e4f56e11190787bee77dac"}, - {file = "websockets-16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:71c989cbf3254fbd5e84d3bff31e4da39c43f884e64f2551d14bb3c186230f00"}, - {file = "websockets-16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8b6e209ffee39ff1b6d0fa7bfef6de950c60dfb91b8fcead17da4ee539121a79"}, - {file = "websockets-16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:86890e837d61574c92a97496d590968b23c2ef0aeb8a9bc9421d174cd378ae39"}, - {file = "websockets-16.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:9b5aca38b67492ef518a8ab76851862488a478602229112c4b0d58d63a7a4d5c"}, - {file = "websockets-16.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0334872c0a37b606418ac52f6ab9cfd17317ac26365f7f65e203e2d0d0d359f"}, - {file = "websockets-16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a0b31e0b424cc6b5a04b8838bbaec1688834b2383256688cf47eb97412531da1"}, - {file = "websockets-16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:485c49116d0af10ac698623c513c1cc01c9446c058a4e61e3bf6c19dff7335a2"}, - {file = "websockets-16.0-cp312-cp312-win32.whl", hash = "sha256:eaded469f5e5b7294e2bdca0ab06becb6756ea86894a47806456089298813c89"}, - {file = "websockets-16.0-cp312-cp312-win_amd64.whl", hash = "sha256:5569417dc80977fc8c2d43a86f78e0a5a22fee17565d78621b6bb264a115d4ea"}, - {file = "websockets-16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9"}, - {file = "websockets-16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230"}, - {file = "websockets-16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c"}, - {file = "websockets-16.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5"}, - {file = "websockets-16.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82"}, - {file = "websockets-16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8"}, - {file = "websockets-16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f"}, - {file = "websockets-16.0-cp313-cp313-win32.whl", hash = "sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a"}, - {file = "websockets-16.0-cp313-cp313-win_amd64.whl", hash = "sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156"}, - {file = "websockets-16.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0"}, - {file = "websockets-16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904"}, - {file = "websockets-16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4"}, - {file = "websockets-16.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e"}, - {file = "websockets-16.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4"}, - {file = "websockets-16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1"}, - {file = "websockets-16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3"}, - {file = "websockets-16.0-cp314-cp314-win32.whl", hash = "sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8"}, - {file = "websockets-16.0-cp314-cp314-win_amd64.whl", hash = "sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d"}, - {file = "websockets-16.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244"}, - {file = "websockets-16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e"}, - {file = "websockets-16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641"}, - {file = "websockets-16.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8"}, - {file = "websockets-16.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e"}, - {file = "websockets-16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944"}, - {file = "websockets-16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206"}, - {file = "websockets-16.0-cp314-cp314t-win32.whl", hash = "sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6"}, - {file = "websockets-16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd"}, - {file = "websockets-16.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:349f83cd6c9a415428ee1005cadb5c2c56f4389bc06a9af16103c3bc3dcc8b7d"}, - {file = "websockets-16.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:4a1aba3340a8dca8db6eb5a7986157f52eb9e436b74813764241981ca4888f03"}, - {file = "websockets-16.0-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da"}, - {file = "websockets-16.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c"}, - {file = "websockets-16.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a653aea902e0324b52f1613332ddf50b00c06fdaf7e92624fbf8c77c78fa5767"}, - {file = "websockets-16.0-py3-none-any.whl", hash = "sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec"}, - {file = "websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5"}, -] - -[[package]] -name = "widgetsnbextension" -version = "4.0.15" -description = "Jupyter interactive widgets for Jupyter Notebook" -optional = false -python-versions = ">=3.7" -groups = ["dev"] -files = [ - {file = "widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366"}, - {file = "widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9"}, -] - -[[package]] -name = "xarray" -version = "2025.6.1" -description = "N-D labeled arrays and datasets in Python" -optional = false -python-versions = ">=3.10" -groups = ["main"] -markers = "python_version == \"3.10\"" -files = [ - {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"}, - {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"}, -] - -[package.dependencies] -numpy = ">=1.24" -packaging = ">=23.2" -pandas = ">=2.1" - -[package.extras] -accel = ["bottleneck", "flox", "numba (>=0.54)", "numbagg", "opt_einsum", "scipy"] -complete = ["xarray[accel,etc,io,parallel,viz]"] -etc = ["sparse"] -io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_version < \"3.10\"", "scipy", "zarr"] -parallel = ["dask[complete]"] -types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"] -viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"] - -[[package]] -name = "xarray" -version = "2026.1.0" -description = "N-D labeled arrays and datasets in Python" -optional = false -python-versions = ">=3.11" -groups = ["main"] -markers = "python_version >= \"3.11\"" -files = [ - {file = "xarray-2026.1.0-py3-none-any.whl", hash = "sha256:5fcc03d3ed8dfb662aa254efe6cd65efc70014182bbc2126e4b90d291d970d41"}, - {file = "xarray-2026.1.0.tar.gz", hash = "sha256:0c9814761f9d9a9545df37292d3fda89f83201f3e02ae0f09f03313d9cfdd5e2"}, -] - -[package.dependencies] -numpy = ">=1.26" -packaging = ">=24.1" -pandas = ">=2.2" - -[package.extras] -accel = ["bottleneck", "flox (>=0.9)", "numba (>=0.62)", "numbagg (>=0.8)", "opt_einsum", "scipy (>=1.13)"] -complete = ["xarray[accel,etc,io,parallel,viz]"] -etc = ["sparse (>=0.15)"] -io = ["cftime", "fsspec", "h5netcdf (>=1.4.0)", "netCDF4 (>=1.6.0)", "pooch", "pydap", "scipy (>=1.13)", "zarr (>=2.18)"] -parallel = ["dask[complete]"] -types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-requests", "types-setuptools"] -viz = ["cartopy (>=0.23)", "matplotlib (>=3.8)", "nc-time-axis", "seaborn"] - -[[package]] -name = "xmltodict" -version = "1.0.2" -description = "Makes working with XML feel like you are working with JSON" -optional = false -python-versions = ">=3.9" -groups = ["main"] -files = [ - {file = "xmltodict-1.0.2-py3-none-any.whl", hash = "sha256:62d0fddb0dcbc9f642745d8bbf4d81fd17d6dfaec5a15b5c1876300aad92af0d"}, - {file = "xmltodict-1.0.2.tar.gz", hash = "sha256:54306780b7c2175a3967cad1db92f218207e5bc1aba697d887807c0fb68b7649"}, -] - -[package.extras] -test = ["pytest", "pytest-cov"] - -[[package]] -name = "zipp" -version = "3.23.0" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.9" -groups = ["dev-benchmark"] -files = [ - {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, - {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, -] - -[package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] -cover = ["pytest-cov"] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] -type = ["pytest-mypy"] - -[metadata] -lock-version = "2.1" -python-versions = ">=3.10,<3.14" -content-hash = "9abbd14c5fff30cf1a3cd335f2347584eac1492285d0587905d422c71109aa37" diff --git a/pyproject.toml b/pyproject.toml index f8852c5b..1a288376 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,95 +4,80 @@ version = "0.5.0b18" description = "The Hyperscanning Python Pipeline." readme = "README.md" license = "BSD-3-Clause" -classifiers=[ +requires-python = ">=3.10" +classifiers = [ "Development Status :: 4 - Beta", - "Topic :: Scientific/Engineering"] -keywords=["hyperscanning", "neuroscience", "pipeline", "statistics", "visualization"] + "Topic :: Scientific/Engineering", +] +keywords = ["hyperscanning", "neuroscience", "pipeline", "statistics", "visualization"] + +dependencies = [ + "autoreject>=0.4.3", + "certifi>=2022.12.07", + "importlib-resources>=6.0.0", + "matplotlib>=3.7.2", + "meshio>=5.3.4", + "mistune>=2.0.4", + "mne>=1.3", + "mne-connectivity>=0.7.0", + "numpy>=2.2.3", + "pandas>=2.0.3", + "pillow>=11.3.0", + "pyarrow>=20.0.0", + "pywavelets>=1.8.0", + "pyxdf>=1.17.0", + "requests>=2.32.4", + "scikit-image>=0.25.2", + "scipy>=1.11.1,<1.17.0", + "seaborn>=0.13.2", + "snirf>=0.8.0", + "statsmodels>=0.14.4", + "tqdm>=4.46.0", + "urllib3>=2.5.0", +] + +[project.optional-dependencies] +shiny = ["shiny>=1.1.0"] +numba = ["numba>=0.60.0"] +torch = ["torch>=2.0.0"] [project.urls] Homepage = "https://github.com/ppsp-team/HyPyP" Repository = "https://github.com/ppsp-team/HyPyP" Documentation = "https://hypyp.readthedocs.io" -[tool.poetry] -packages = [{include = "hypyp"}] - -[tool.poetry.dependencies] -python = ">=3.10,<3.14" -autoreject = ">=0.4.3" -matplotlib = ">=3.7.2" -pandas = ">=2.0.3" -meshio = ">=5.3.4" -tqdm = ">=4.46.0" -scipy = ">=1.11.1,<1.17.0" -mne = ">=1.3" -mistune = ">=2.0.4" -certifi = ">=2022.12.07" -importlib-resources = ">=6.0.0" -statsmodels = ">=0.14.4" -numpy = ">=2.2.3" -black = ">=25.1.0" -pyarrow = ">=20.0.0" -seaborn = ">=0.13.2" -mne-connectivity = ">=0.7.0" -scikit-image = ">=0.25.2" -pywavelets = ">=1.8.0" -pyxdf = ">=1.17.0" -urllib3 = ">=2.5.0" -requests = ">=2.32.4" -pillow = ">=11.3.0" -snirf = ">=0.8.0" - -[tool.poetry.group.optim_torch] -optional = true - -[tool.poetry.group.optim_torch.dependencies] -torch = ">=2.0.0" - -[tool.poetry.group.optim_numba] -optional = true - -[tool.poetry.group.optim_numba.dependencies] -numba = ">=0.60.0" - -[tool.poetry.group.dev_benchmark] -optional = true - -[tool.poetry.group.dev_benchmark.dependencies] -doit = ">=0.36.0" - -[tool.poetry.group.dev.dependencies] -mkdocs = ">=1.3.0" -mkdocs-material = ">=8.2.15" -pylint = ">=2.4.4" -widgetsnbextension = ">=3.5.1" -ipywidgets = ">=7.5.1" -livereload = ">=2.6.3" -ipykernel = ">=6.19.4" -pytest = ">=7.2.0" -pytest-mock = ">=3.14.0" -pytest-watch = ">=4.2.0" -mkdocstrings = ">=0.20.0" -mkdocstrings-python-legacy = ">=0.2.3" -jupyterlab = ">=4.3.5" -mkdocs-include-markdown-plugin = ">=7.1.5" -mkdocstrings-python = ">=1.1.0" -tabulate = ">=0.9.0" -notebook = ">=7.4.3" -pyqt6 = ">=6.10.2" - -[tool.poetry.group.shiny.dependencies] -shiny = ">=1.1.0" - -[tool.dephell.main] -from = {format = "poetry", path = "pyproject.toml"} -to = {format = "setuppy", path = "setup.py"} +[dependency-groups] +dev = [ + "black>=25.1.0", + "ipykernel>=6.19.4", + "ipywidgets>=7.5.1", + "jupyterlab>=4.3.5", + "livereload>=2.6.3", + "mkdocs>=1.3.0", + "mkdocs-include-markdown-plugin>=7.1.5", + "mkdocs-material>=8.2.15", + "mkdocstrings>=0.20.0", + "mkdocstrings-python>=1.1.0", + "mkdocstrings-python-legacy>=0.2.3", + "notebook>=7.4.3", + "pylint>=2.4.4", + "pyqt6>=6.10.2", + "pytest>=7.2.0", + "pytest-mock>=3.14.0", + "pytest-watch>=4.2.0", + "tabulate>=0.9.0", + "widgetsnbextension>=3.5.1", +] +benchmark = [ + "doit>=0.36.0", +] [build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" - -[tool.setuptools] -packages = ["hypyp"] +requires = ["setuptools>=61"] +build-backend = "setuptools.build_meta" +[tool.setuptools.packages.find] +include = ["hypyp*"] +[tool.setuptools.package-data] +hypyp = ["data/*.obj"] diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/update_docs_requirements.sh b/update_docs_requirements.sh index c0f6728a..f2a0b661 100755 --- a/update_docs_requirements.sh +++ b/update_docs_requirements.sh @@ -1,14 +1,5 @@ REQUIREMENTS_PATH=docs/requirements.txt -# Check if poetry export plugin is installed -if ! poetry export --help &> /dev/null; then - echo "poetry-plugin-export not found. Installing..." - pip install poetry-plugin-export -fi - -echo "upgrade pip" -poetry run pip install --upgrade pip -echo "poetry install" -poetry install -poetry export -f requirements.txt --with dev --without-hashes -o $REQUIREMENTS_PATH -echo "hypyp==$(poetry run python -c 'import hypyp; print(hypyp.__version__)')" >> $REQUIREMENTS_PATH +echo "Exporting docs requirements..." +uv export --no-hashes --group dev --output-file $REQUIREMENTS_PATH +echo "hypyp==$(uv run python -c 'import hypyp; print(hypyp.__version__)')" >> $REQUIREMENTS_PATH diff --git a/uv.lock b/uv.lock new file mode 100644 index 00000000..19d49362 --- /dev/null +++ b/uv.lock @@ -0,0 +1,5486 @@ +version = 1 +revision = 3 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] + +[[package]] +name = "anyio" +version = "4.12.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "idna" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" }, +] + +[[package]] +name = "appnope" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" }, +] + +[[package]] +name = "argon2-cffi" +version = "25.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "argon2-cffi-bindings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0e/89/ce5af8a7d472a67cc819d5d998aa8c82c5d860608c4db9f46f1162d7dab9/argon2_cffi-25.1.0.tar.gz", hash = "sha256:694ae5cc8a42f4c4e2bf2ca0e64e51e23a040c6a517a85074683d3959e1346c1", size = 45706, upload-time = "2025-06-03T06:55:32.073Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4f/d3/a8b22fa575b297cd6e3e3b0155c7e25db170edf1c74783d6a31a2490b8d9/argon2_cffi-25.1.0-py3-none-any.whl", hash = "sha256:fdc8b074db390fccb6eb4a3604ae7231f219aa669a2652e0f20e16ba513d5741", size = 14657, upload-time = "2025-06-03T06:55:30.804Z" }, +] + +[[package]] +name = "argon2-cffi-bindings" +version = "25.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5c/2d/db8af0df73c1cf454f71b2bbe5e356b8c1f8041c979f505b3d3186e520a9/argon2_cffi_bindings-25.1.0.tar.gz", hash = "sha256:b957f3e6ea4d55d820e40ff76f450952807013d361a65d7f28acc0acbf29229d", size = 1783441, upload-time = "2025-07-30T10:02:05.147Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/97/3c0a35f46e52108d4707c44b95cfe2afcafc50800b5450c197454569b776/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_universal2.whl", hash = "sha256:3d3f05610594151994ca9ccb3c771115bdb4daef161976a266f0dd8aa9996b8f", size = 54393, upload-time = "2025-07-30T10:01:40.97Z" }, + { url = "https://files.pythonhosted.org/packages/9d/f4/98bbd6ee89febd4f212696f13c03ca302b8552e7dbf9c8efa11ea4a388c3/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:8b8efee945193e667a396cbc7b4fb7d357297d6234d30a489905d96caabde56b", size = 29328, upload-time = "2025-07-30T10:01:41.916Z" }, + { url = "https://files.pythonhosted.org/packages/43/24/90a01c0ef12ac91a6be05969f29944643bc1e5e461155ae6559befa8f00b/argon2_cffi_bindings-25.1.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3c6702abc36bf3ccba3f802b799505def420a1b7039862014a65db3205967f5a", size = 31269, upload-time = "2025-07-30T10:01:42.716Z" }, + { url = "https://files.pythonhosted.org/packages/d4/d3/942aa10782b2697eee7af5e12eeff5ebb325ccfb86dd8abda54174e377e4/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a1c70058c6ab1e352304ac7e3b52554daadacd8d453c1752e547c76e9c99ac44", size = 86558, upload-time = "2025-07-30T10:01:43.943Z" }, + { url = "https://files.pythonhosted.org/packages/0d/82/b484f702fec5536e71836fc2dbc8c5267b3f6e78d2d539b4eaa6f0db8bf8/argon2_cffi_bindings-25.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e2fd3bfbff3c5d74fef31a722f729bf93500910db650c925c2d6ef879a7e51cb", size = 92364, upload-time = "2025-07-30T10:01:44.887Z" }, + { url = "https://files.pythonhosted.org/packages/c9/c1/a606ff83b3f1735f3759ad0f2cd9e038a0ad11a3de3b6c673aa41c24bb7b/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c4f9665de60b1b0e99bcd6be4f17d90339698ce954cfd8d9cf4f91c995165a92", size = 85637, upload-time = "2025-07-30T10:01:46.225Z" }, + { url = "https://files.pythonhosted.org/packages/44/b4/678503f12aceb0262f84fa201f6027ed77d71c5019ae03b399b97caa2f19/argon2_cffi_bindings-25.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ba92837e4a9aa6a508c8d2d7883ed5a8f6c308c89a4790e1e447a220deb79a85", size = 91934, upload-time = "2025-07-30T10:01:47.203Z" }, + { url = "https://files.pythonhosted.org/packages/f0/c7/f36bd08ef9bd9f0a9cff9428406651f5937ce27b6c5b07b92d41f91ae541/argon2_cffi_bindings-25.1.0-cp314-cp314t-win32.whl", hash = "sha256:84a461d4d84ae1295871329b346a97f68eade8c53b6ed9a7ca2d7467f3c8ff6f", size = 28158, upload-time = "2025-07-30T10:01:48.341Z" }, + { url = "https://files.pythonhosted.org/packages/b3/80/0106a7448abb24a2c467bf7d527fe5413b7fdfa4ad6d6a96a43a62ef3988/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b55aec3565b65f56455eebc9b9f34130440404f27fe21c3b375bf1ea4d8fbae6", size = 32597, upload-time = "2025-07-30T10:01:49.112Z" }, + { url = "https://files.pythonhosted.org/packages/05/b8/d663c9caea07e9180b2cb662772865230715cbd573ba3b5e81793d580316/argon2_cffi_bindings-25.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:87c33a52407e4c41f3b70a9c2d3f6056d88b10dad7695be708c5021673f55623", size = 28231, upload-time = "2025-07-30T10:01:49.92Z" }, + { url = "https://files.pythonhosted.org/packages/1d/57/96b8b9f93166147826da5f90376e784a10582dd39a393c99bb62cfcf52f0/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:aecba1723ae35330a008418a91ea6cfcedf6d31e5fbaa056a166462ff066d500", size = 54121, upload-time = "2025-07-30T10:01:50.815Z" }, + { url = "https://files.pythonhosted.org/packages/0a/08/a9bebdb2e0e602dde230bdde8021b29f71f7841bd54801bcfd514acb5dcf/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2630b6240b495dfab90aebe159ff784d08ea999aa4b0d17efa734055a07d2f44", size = 29177, upload-time = "2025-07-30T10:01:51.681Z" }, + { url = "https://files.pythonhosted.org/packages/b6/02/d297943bcacf05e4f2a94ab6f462831dc20158614e5d067c35d4e63b9acb/argon2_cffi_bindings-25.1.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:7aef0c91e2c0fbca6fc68e7555aa60ef7008a739cbe045541e438373bc54d2b0", size = 31090, upload-time = "2025-07-30T10:01:53.184Z" }, + { url = "https://files.pythonhosted.org/packages/c1/93/44365f3d75053e53893ec6d733e4a5e3147502663554b4d864587c7828a7/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1e021e87faa76ae0d413b619fe2b65ab9a037f24c60a1e6cc43457ae20de6dc6", size = 81246, upload-time = "2025-07-30T10:01:54.145Z" }, + { url = "https://files.pythonhosted.org/packages/09/52/94108adfdd6e2ddf58be64f959a0b9c7d4ef2fa71086c38356d22dc501ea/argon2_cffi_bindings-25.1.0-cp39-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d3e924cfc503018a714f94a49a149fdc0b644eaead5d1f089330399134fa028a", size = 87126, upload-time = "2025-07-30T10:01:55.074Z" }, + { url = "https://files.pythonhosted.org/packages/72/70/7a2993a12b0ffa2a9271259b79cc616e2389ed1a4d93842fac5a1f923ffd/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:c87b72589133f0346a1cb8d5ecca4b933e3c9b64656c9d175270a000e73b288d", size = 80343, upload-time = "2025-07-30T10:01:56.007Z" }, + { url = "https://files.pythonhosted.org/packages/78/9a/4e5157d893ffc712b74dbd868c7f62365618266982b64accab26bab01edc/argon2_cffi_bindings-25.1.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1db89609c06afa1a214a69a462ea741cf735b29a57530478c06eb81dd403de99", size = 86777, upload-time = "2025-07-30T10:01:56.943Z" }, + { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload-time = "2025-07-30T10:01:57.759Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload-time = "2025-07-30T10:01:58.56Z" }, + { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload-time = "2025-07-30T10:01:59.329Z" }, + { url = "https://files.pythonhosted.org/packages/11/2d/ba4e4ca8d149f8dcc0d952ac0967089e1d759c7e5fcf0865a317eb680fbb/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e", size = 24549, upload-time = "2025-07-30T10:02:00.101Z" }, + { url = "https://files.pythonhosted.org/packages/5c/82/9b2386cc75ac0bd3210e12a44bfc7fd1632065ed8b80d573036eecb10442/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d", size = 25539, upload-time = "2025-07-30T10:02:00.929Z" }, + { url = "https://files.pythonhosted.org/packages/31/db/740de99a37aa727623730c90d92c22c9e12585b3c98c54b7960f7810289f/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584", size = 28467, upload-time = "2025-07-30T10:02:02.08Z" }, + { url = "https://files.pythonhosted.org/packages/71/7a/47c4509ea18d755f44e2b92b7178914f0c113946d11e16e626df8eaa2b0b/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690", size = 27355, upload-time = "2025-07-30T10:02:02.867Z" }, + { url = "https://files.pythonhosted.org/packages/ee/82/82745642d3c46e7cea25e1885b014b033f4693346ce46b7f47483cf5d448/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520", size = 29187, upload-time = "2025-07-30T10:02:03.674Z" }, +] + +[[package]] +name = "arrow" +version = "1.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "python-dateutil" }, + { name = "tzdata" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b9/33/032cdc44182491aa708d06a68b62434140d8c50820a087fac7af37703357/arrow-1.4.0.tar.gz", hash = "sha256:ed0cc050e98001b8779e84d461b0098c4ac597e88704a655582b21d116e526d7", size = 152931, upload-time = "2025-10-18T17:46:46.761Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ed/c9/d7977eaacb9df673210491da99e6a247e93df98c715fc43fd136ce1d3d33/arrow-1.4.0-py3-none-any.whl", hash = "sha256:749f0769958ebdc79c173ff0b0670d59051a535fa26e8eba02953dc19eb43205", size = 68797, upload-time = "2025-10-18T17:46:45.663Z" }, +] + +[[package]] +name = "asgiref" +version = "3.11.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/63/40/f03da1264ae8f7cfdbf9146542e5e7e8100a4c66ab48e791df9a03d3f6c0/asgiref-3.11.1.tar.gz", hash = "sha256:5f184dc43b7e763efe848065441eac62229c9f7b0475f41f80e207a114eda4ce", size = 38550, upload-time = "2026-02-03T13:30:14.33Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5c/0a/a72d10ed65068e115044937873362e6e32fab1b7dce0046aeb224682c989/asgiref-3.11.1-py3-none-any.whl", hash = "sha256:e8667a091e69529631969fd45dc268fa79b99c92c5fcdda727757e52146ec133", size = 24345, upload-time = "2026-02-03T13:30:13.039Z" }, +] + +[[package]] +name = "astroid" +version = "4.0.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/07/63/0adf26577da5eff6eb7a177876c1cfa213856be9926a000f65c4add9692b/astroid-4.0.4.tar.gz", hash = "sha256:986fed8bcf79fb82c78b18a53352a0b287a73817d6dbcfba3162da36667c49a0", size = 406358, upload-time = "2026-02-07T23:35:07.509Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b0/cf/1c5f42b110e57bc5502eb80dbc3b03d256926062519224835ef08134f1f9/astroid-4.0.4-py3-none-any.whl", hash = "sha256:52f39653876c7dec3e3afd4c2696920e05c83832b9737afc21928f2d2eb7a753", size = 276445, upload-time = "2026-02-07T23:35:05.344Z" }, +] + +[[package]] +name = "asttokens" +version = "3.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" }, +] + +[[package]] +name = "async-lru" +version = "2.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e8/1f/989ecfef8e64109a489fff357450cb73fa73a865a92bd8c272170a6922c2/async_lru-2.3.0.tar.gz", hash = "sha256:89bdb258a0140d7313cf8f4031d816a042202faa61d0ab310a0a538baa1c24b6", size = 16332, upload-time = "2026-03-19T01:04:32.413Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e5/e2/c2e3abf398f80732e58b03be77bde9022550d221dd8781bf586bd4d97cc1/async_lru-2.3.0-py3-none-any.whl", hash = "sha256:eea27b01841909316f2cc739807acea1c623df2be8c5cfad7583286397bb8315", size = 8403, upload-time = "2026-03-19T01:04:30.883Z" }, +] + +[[package]] +name = "attrs" +version = "26.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" }, +] + +[[package]] +name = "autoreject" +version = "0.4.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "joblib" }, + { name = "matplotlib" }, + { name = "mne", extra = ["hdf5"] }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scikit-learn", version = "1.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scikit-learn", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e0/84/0471a888cb198b109dbc8c73fee04bb505600d4ee7f7bca50a4b76f4b94e/autoreject-0.4.3.tar.gz", hash = "sha256:bd977ea3c88dc68550fbd5dbb98515b3b811907ba78afe8e412632edde6c8fc5", size = 47139, upload-time = "2023-11-14T16:48:15.879Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/45/cf/f34035d2de261064090cb46491b1b999f0b9711bc57da189ffe1b50df146/autoreject-0.4.3-py3-none-any.whl", hash = "sha256:a094bebeaea40572f479b2b489c14c54a0be4d57ae7f51ea269c754d2433f9c1", size = 29855, upload-time = "2023-11-14T16:48:12.348Z" }, +] + +[[package]] +name = "babel" +version = "2.18.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" }, +] + +[[package]] +name = "backrefs" +version = "6.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4e/a6/e325ec73b638d3ede4421b5445d4a0b8b219481826cc079d510100af356c/backrefs-6.2.tar.gz", hash = "sha256:f44ff4d48808b243b6c0cdc6231e22195c32f77046018141556c66f8bab72a49", size = 7012303, upload-time = "2026-02-16T19:10:15.828Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1b/39/3765df263e08a4df37f4f43cb5aa3c6c17a4bdd42ecfe841e04c26037171/backrefs-6.2-py310-none-any.whl", hash = "sha256:0fdc7b012420b6b144410342caeb8adc54c6866cf12064abc9bb211302e496f8", size = 381075, upload-time = "2026-02-16T19:10:04.322Z" }, + { url = "https://files.pythonhosted.org/packages/0f/f0/35240571e1b67ffb19dafb29ab34150b6f59f93f717b041082cdb1bfceb1/backrefs-6.2-py311-none-any.whl", hash = "sha256:08aa7fae530c6b2361d7bdcbda1a7c454e330cc9dbcd03f5c23205e430e5c3be", size = 392874, upload-time = "2026-02-16T19:10:06.314Z" }, + { url = "https://files.pythonhosted.org/packages/e3/63/77e8c9745b4d227cce9f5e0a6f68041278c5f9b18588b35905f5f19c1beb/backrefs-6.2-py312-none-any.whl", hash = "sha256:c3f4b9cb2af8cda0d87ab4f57800b57b95428488477be164dd2b47be54db0c90", size = 398787, upload-time = "2026-02-16T19:10:08.274Z" }, + { url = "https://files.pythonhosted.org/packages/c5/71/c754b1737ad99102e03fa3235acb6cb6d3ac9d6f596cbc3e5f236705abd8/backrefs-6.2-py313-none-any.whl", hash = "sha256:12df81596ab511f783b7d87c043ce26bc5b0288cf3bb03610fe76b8189282b2b", size = 400747, upload-time = "2026-02-16T19:10:09.791Z" }, + { url = "https://files.pythonhosted.org/packages/af/75/be12ba31a6eb20dccef2320cd8ccb3f7d9013b68ba4c70156259fee9e409/backrefs-6.2-py314-none-any.whl", hash = "sha256:e5f805ae09819caa1aa0623b4a83790e7028604aa2b8c73ba602c4454e665de7", size = 412602, upload-time = "2026-02-16T19:10:12.317Z" }, + { url = "https://files.pythonhosted.org/packages/21/f8/d02f650c47d05034dcd6f9c8cf94f39598b7a89c00ecda0ecb2911bc27e9/backrefs-6.2-py39-none-any.whl", hash = "sha256:664e33cd88c6840b7625b826ecf2555f32d491800900f5a541f772c485f7cda7", size = 381077, upload-time = "2026-02-16T19:10:13.74Z" }, +] + +[[package]] +name = "beautifulsoup4" +version = "4.14.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "soupsieve" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c3/b0/1c6a16426d389813b48d95e26898aff79abbde42ad353958ad95cc8c9b21/beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86", size = 627737, upload-time = "2025-11-30T15:08:26.084Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1a/39/47f9197bdd44df24d67ac8893641e16f386c984a0619ef2ee4c51fbbc019/beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb", size = 107721, upload-time = "2025-11-30T15:08:24.087Z" }, +] + +[[package]] +name = "black" +version = "26.3.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click" }, + { name = "mypy-extensions" }, + { name = "packaging" }, + { name = "pathspec" }, + { name = "platformdirs" }, + { name = "pytokens" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e1/c5/61175d618685d42b005847464b8fb4743a67b1b8fdb75e50e5a96c31a27a/black-26.3.1.tar.gz", hash = "sha256:2c50f5063a9641c7eed7795014ba37b0f5fa227f3d408b968936e24bc0566b07", size = 666155, upload-time = "2026-03-12T03:36:03.593Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/32/a8/11170031095655d36ebc6664fe0897866f6023892396900eec0e8fdc4299/black-26.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:86a8b5035fce64f5dcd1b794cf8ec4d31fe458cf6ce3986a30deb434df82a1d2", size = 1866562, upload-time = "2026-03-12T03:39:58.639Z" }, + { url = "https://files.pythonhosted.org/packages/69/ce/9e7548d719c3248c6c2abfd555d11169457cbd584d98d179111338423790/black-26.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5602bdb96d52d2d0672f24f6ffe5218795736dd34807fd0fd55ccd6bf206168b", size = 1703623, upload-time = "2026-03-12T03:40:00.347Z" }, + { url = "https://files.pythonhosted.org/packages/7f/0a/8d17d1a9c06f88d3d030d0b1d4373c1551146e252afe4547ed601c0e697f/black-26.3.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6c54a4a82e291a1fee5137371ab488866b7c86a3305af4026bdd4dc78642e1ac", size = 1768388, upload-time = "2026-03-12T03:40:01.765Z" }, + { url = "https://files.pythonhosted.org/packages/52/79/c1ee726e221c863cde5164f925bacf183dfdf0397d4e3f94889439b947b4/black-26.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:6e131579c243c98f35bce64a7e08e87fb2d610544754675d4a0e73a070a5aa3a", size = 1412969, upload-time = "2026-03-12T03:40:03.252Z" }, + { url = "https://files.pythonhosted.org/packages/73/a5/15c01d613f5756f68ed8f6d4ec0a1e24b82b18889fa71affd3d1f7fad058/black-26.3.1-cp310-cp310-win_arm64.whl", hash = "sha256:5ed0ca58586c8d9a487352a96b15272b7fa55d139fc8496b519e78023a8dab0a", size = 1220345, upload-time = "2026-03-12T03:40:04.892Z" }, + { url = "https://files.pythonhosted.org/packages/17/57/5f11c92861f9c92eb9dddf515530bc2d06db843e44bdcf1c83c1427824bc/black-26.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:28ef38aee69e4b12fda8dba75e21f9b4f979b490c8ac0baa7cb505369ac9e1ff", size = 1851987, upload-time = "2026-03-12T03:40:06.248Z" }, + { url = "https://files.pythonhosted.org/packages/54/aa/340a1463660bf6831f9e39646bf774086dbd8ca7fc3cded9d59bbdf4ad0a/black-26.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bf9bf162ed91a26f1adba8efda0b573bc6924ec1408a52cc6f82cb73ec2b142c", size = 1689499, upload-time = "2026-03-12T03:40:07.642Z" }, + { url = "https://files.pythonhosted.org/packages/f3/01/b726c93d717d72733da031d2de10b92c9fa4c8d0c67e8a8a372076579279/black-26.3.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:474c27574d6d7037c1bc875a81d9be0a9a4f9ee95e62800dab3cfaadbf75acd5", size = 1754369, upload-time = "2026-03-12T03:40:09.279Z" }, + { url = "https://files.pythonhosted.org/packages/e3/09/61e91881ca291f150cfc9eb7ba19473c2e59df28859a11a88248b5cbbc4d/black-26.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e9d0d86df21f2e1677cc4bd090cd0e446278bcbbe49bf3659c308c3e402843e", size = 1413613, upload-time = "2026-03-12T03:40:10.943Z" }, + { url = "https://files.pythonhosted.org/packages/16/73/544f23891b22e7efe4d8f812371ab85b57f6a01b2fc45e3ba2e52ba985b8/black-26.3.1-cp311-cp311-win_arm64.whl", hash = "sha256:9a5e9f45e5d5e1c5b5c29b3bd4265dcc90e8b92cf4534520896ed77f791f4da5", size = 1219719, upload-time = "2026-03-12T03:40:12.597Z" }, + { url = "https://files.pythonhosted.org/packages/dc/f8/da5eae4fc75e78e6dceb60624e1b9662ab00d6b452996046dfa9b8a6025b/black-26.3.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b5e6f89631eb88a7302d416594a32faeee9fb8fb848290da9d0a5f2903519fc1", size = 1895920, upload-time = "2026-03-12T03:40:13.921Z" }, + { url = "https://files.pythonhosted.org/packages/2c/9f/04e6f26534da2e1629b2b48255c264cabf5eedc5141d04516d9d68a24111/black-26.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:41cd2012d35b47d589cb8a16faf8a32ef7a336f56356babd9fcf70939ad1897f", size = 1718499, upload-time = "2026-03-12T03:40:15.239Z" }, + { url = "https://files.pythonhosted.org/packages/04/91/a5935b2a63e31b331060c4a9fdb5a6c725840858c599032a6f3aac94055f/black-26.3.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f76ff19ec5297dd8e66eb64deda23631e642c9393ab592826fd4bdc97a4bce7", size = 1794994, upload-time = "2026-03-12T03:40:17.124Z" }, + { url = "https://files.pythonhosted.org/packages/e7/0a/86e462cdd311a3c2a8ece708d22aba17d0b2a0d5348ca34b40cdcbea512e/black-26.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:ddb113db38838eb9f043623ba274cfaf7d51d5b0c22ecb30afe58b1bb8322983", size = 1420867, upload-time = "2026-03-12T03:40:18.83Z" }, + { url = "https://files.pythonhosted.org/packages/5b/e5/22515a19cb7eaee3440325a6b0d95d2c0e88dd180cb011b12ae488e031d1/black-26.3.1-cp312-cp312-win_arm64.whl", hash = "sha256:dfdd51fc3e64ea4f35873d1b3fb25326773d55d2329ff8449139ebaad7357efb", size = 1230124, upload-time = "2026-03-12T03:40:20.425Z" }, + { url = "https://files.pythonhosted.org/packages/f5/77/5728052a3c0450c53d9bb3945c4c46b91baa62b2cafab6801411b6271e45/black-26.3.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:855822d90f884905362f602880ed8b5df1b7e3ee7d0db2502d4388a954cc8c54", size = 1895034, upload-time = "2026-03-12T03:40:21.813Z" }, + { url = "https://files.pythonhosted.org/packages/52/73/7cae55fdfdfbe9d19e9a8d25d145018965fe2079fa908101c3733b0c55a0/black-26.3.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8a33d657f3276328ce00e4d37fe70361e1ec7614da5d7b6e78de5426cb56332f", size = 1718503, upload-time = "2026-03-12T03:40:23.666Z" }, + { url = "https://files.pythonhosted.org/packages/e1/87/af89ad449e8254fdbc74654e6467e3c9381b61472cc532ee350d28cfdafb/black-26.3.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f1cd08e99d2f9317292a311dfe578fd2a24b15dbce97792f9c4d752275c1fa56", size = 1793557, upload-time = "2026-03-12T03:40:25.497Z" }, + { url = "https://files.pythonhosted.org/packages/43/10/d6c06a791d8124b843bf325ab4ac7d2f5b98731dff84d6064eafd687ded1/black-26.3.1-cp313-cp313-win_amd64.whl", hash = "sha256:c7e72339f841b5a237ff14f7d3880ddd0fc7f98a1199e8c4327f9a4f478c1839", size = 1422766, upload-time = "2026-03-12T03:40:27.14Z" }, + { url = "https://files.pythonhosted.org/packages/59/4f/40a582c015f2d841ac24fed6390bd68f0fc896069ff3a886317959c9daf8/black-26.3.1-cp313-cp313-win_arm64.whl", hash = "sha256:afc622538b430aa4c8c853f7f63bc582b3b8030fd8c80b70fb5fa5b834e575c2", size = 1232140, upload-time = "2026-03-12T03:40:28.882Z" }, + { url = "https://files.pythonhosted.org/packages/d5/da/e36e27c9cebc1311b7579210df6f1c86e50f2d7143ae4fcf8a5017dc8809/black-26.3.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:2d6bfaf7fd0993b420bed691f20f9492d53ce9a2bcccea4b797d34e947318a78", size = 1889234, upload-time = "2026-03-12T03:40:30.964Z" }, + { url = "https://files.pythonhosted.org/packages/0e/7b/9871acf393f64a5fa33668c19350ca87177b181f44bb3d0c33b2d534f22c/black-26.3.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:f89f2ab047c76a9c03f78d0d66ca519e389519902fa27e7a91117ef7611c0568", size = 1720522, upload-time = "2026-03-12T03:40:32.346Z" }, + { url = "https://files.pythonhosted.org/packages/03/87/e766c7f2e90c07fb7586cc787c9ae6462b1eedab390191f2b7fc7f6170a9/black-26.3.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b07fc0dab849d24a80a29cfab8d8a19187d1c4685d8a5e6385a5ce323c1f015f", size = 1787824, upload-time = "2026-03-12T03:40:33.636Z" }, + { url = "https://files.pythonhosted.org/packages/ac/94/2424338fb2d1875e9e83eed4c8e9c67f6905ec25afd826a911aea2b02535/black-26.3.1-cp314-cp314-win_amd64.whl", hash = "sha256:0126ae5b7c09957da2bdbd91a9ba1207453feada9e9fe51992848658c6c8e01c", size = 1445855, upload-time = "2026-03-12T03:40:35.442Z" }, + { url = "https://files.pythonhosted.org/packages/86/43/0c3338bd928afb8ee7471f1a4eec3bdbe2245ccb4a646092a222e8669840/black-26.3.1-cp314-cp314-win_arm64.whl", hash = "sha256:92c0ec1f2cc149551a2b7b47efc32c866406b6891b0ee4625e95967c8f4acfb1", size = 1258109, upload-time = "2026-03-12T03:40:36.832Z" }, + { url = "https://files.pythonhosted.org/packages/8e/0d/52d98722666d6fc6c3dd4c76df339501d6efd40e0ff95e6186a7b7f0befd/black-26.3.1-py3-none-any.whl", hash = "sha256:2bd5aa94fc267d38bb21a70d7410a89f1a1d318841855f698746f8e7f51acd1b", size = 207542, upload-time = "2026-03-12T03:36:01.668Z" }, +] + +[[package]] +name = "bleach" +version = "6.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" }, +] + +[package.optional-dependencies] +css = [ + { name = "tinycss2" }, +] + +[[package]] +name = "bracex" +version = "2.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/63/9a/fec38644694abfaaeca2798b58e276a8e61de49e2e37494ace423395febc/bracex-2.6.tar.gz", hash = "sha256:98f1347cd77e22ee8d967a30ad4e310b233f7754dbf31ff3fceb76145ba47dc7", size = 26642, upload-time = "2025-06-22T19:12:31.254Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9d/2a/9186535ce58db529927f6cf5990a849aa9e052eea3e2cfefe20b9e1802da/bracex-2.6-py3-none-any.whl", hash = "sha256:0b0049264e7340b3ec782b5cb99beb325f36c3782a32e36e876452fd49a09952", size = 11508, upload-time = "2025-06-22T19:12:29.781Z" }, +] + +[[package]] +name = "certifi" +version = "2026.2.25" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" }, +] + +[[package]] +name = "cffi" +version = "2.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pycparser", marker = "implementation_name != 'PyPy'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" }, + { url = "https://files.pythonhosted.org/packages/9e/84/ad6a0b408daa859246f57c03efd28e5dd1b33c21737c2db84cae8c237aa5/cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49", size = 180504, upload-time = "2025-09-08T23:22:10.637Z" }, + { url = "https://files.pythonhosted.org/packages/50/bd/b1a6362b80628111e6653c961f987faa55262b4002fcec42308cad1db680/cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c", size = 208811, upload-time = "2025-09-08T23:22:12.267Z" }, + { url = "https://files.pythonhosted.org/packages/4f/27/6933a8b2562d7bd1fb595074cf99cc81fc3789f6a6c05cdabb46284a3188/cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb", size = 216402, upload-time = "2025-09-08T23:22:13.455Z" }, + { url = "https://files.pythonhosted.org/packages/05/eb/b86f2a2645b62adcfff53b0dd97e8dfafb5c8aa864bd0d9a2c2049a0d551/cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0", size = 203217, upload-time = "2025-09-08T23:22:14.596Z" }, + { url = "https://files.pythonhosted.org/packages/9f/e0/6cbe77a53acf5acc7c08cc186c9928864bd7c005f9efd0d126884858a5fe/cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4", size = 203079, upload-time = "2025-09-08T23:22:15.769Z" }, + { url = "https://files.pythonhosted.org/packages/98/29/9b366e70e243eb3d14a5cb488dfd3a0b6b2f1fb001a203f653b93ccfac88/cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453", size = 216475, upload-time = "2025-09-08T23:22:17.427Z" }, + { url = "https://files.pythonhosted.org/packages/21/7a/13b24e70d2f90a322f2900c5d8e1f14fa7e2a6b3332b7309ba7b2ba51a5a/cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495", size = 218829, upload-time = "2025-09-08T23:22:19.069Z" }, + { url = "https://files.pythonhosted.org/packages/60/99/c9dc110974c59cc981b1f5b66e1d8af8af764e00f0293266824d9c4254bc/cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5", size = 211211, upload-time = "2025-09-08T23:22:20.588Z" }, + { url = "https://files.pythonhosted.org/packages/49/72/ff2d12dbf21aca1b32a40ed792ee6b40f6dc3a9cf1644bd7ef6e95e0ac5e/cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb", size = 218036, upload-time = "2025-09-08T23:22:22.143Z" }, + { url = "https://files.pythonhosted.org/packages/e2/cc/027d7fb82e58c48ea717149b03bcadcbdc293553edb283af792bd4bcbb3f/cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a", size = 172184, upload-time = "2025-09-08T23:22:23.328Z" }, + { url = "https://files.pythonhosted.org/packages/33/fa/072dd15ae27fbb4e06b437eb6e944e75b068deb09e2a2826039e49ee2045/cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739", size = 182790, upload-time = "2025-09-08T23:22:24.752Z" }, + { url = "https://files.pythonhosted.org/packages/12/4a/3dfd5f7850cbf0d06dc84ba9aa00db766b52ca38d8b86e3a38314d52498c/cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe", size = 184344, upload-time = "2025-09-08T23:22:26.456Z" }, + { url = "https://files.pythonhosted.org/packages/4f/8b/f0e4c441227ba756aafbe78f117485b25bb26b1c059d01f137fa6d14896b/cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c", size = 180560, upload-time = "2025-09-08T23:22:28.197Z" }, + { url = "https://files.pythonhosted.org/packages/b1/b7/1200d354378ef52ec227395d95c2576330fd22a869f7a70e88e1447eb234/cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92", size = 209613, upload-time = "2025-09-08T23:22:29.475Z" }, + { url = "https://files.pythonhosted.org/packages/b8/56/6033f5e86e8cc9bb629f0077ba71679508bdf54a9a5e112a3c0b91870332/cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93", size = 216476, upload-time = "2025-09-08T23:22:31.063Z" }, + { url = "https://files.pythonhosted.org/packages/dc/7f/55fecd70f7ece178db2f26128ec41430d8720f2d12ca97bf8f0a628207d5/cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5", size = 203374, upload-time = "2025-09-08T23:22:32.507Z" }, + { url = "https://files.pythonhosted.org/packages/84/ef/a7b77c8bdc0f77adc3b46888f1ad54be8f3b7821697a7b89126e829e676a/cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664", size = 202597, upload-time = "2025-09-08T23:22:34.132Z" }, + { url = "https://files.pythonhosted.org/packages/d7/91/500d892b2bf36529a75b77958edfcd5ad8e2ce4064ce2ecfeab2125d72d1/cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26", size = 215574, upload-time = "2025-09-08T23:22:35.443Z" }, + { url = "https://files.pythonhosted.org/packages/44/64/58f6255b62b101093d5df22dcb752596066c7e89dd725e0afaed242a61be/cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9", size = 218971, upload-time = "2025-09-08T23:22:36.805Z" }, + { url = "https://files.pythonhosted.org/packages/ab/49/fa72cebe2fd8a55fbe14956f9970fe8eb1ac59e5df042f603ef7c8ba0adc/cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414", size = 211972, upload-time = "2025-09-08T23:22:38.436Z" }, + { url = "https://files.pythonhosted.org/packages/0b/28/dd0967a76aab36731b6ebfe64dec4e981aff7e0608f60c2d46b46982607d/cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743", size = 217078, upload-time = "2025-09-08T23:22:39.776Z" }, + { url = "https://files.pythonhosted.org/packages/2b/c0/015b25184413d7ab0a410775fdb4a50fca20f5589b5dab1dbbfa3baad8ce/cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5", size = 172076, upload-time = "2025-09-08T23:22:40.95Z" }, + { url = "https://files.pythonhosted.org/packages/ae/8f/dc5531155e7070361eb1b7e4c1a9d896d0cb21c49f807a6c03fd63fc877e/cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5", size = 182820, upload-time = "2025-09-08T23:22:42.463Z" }, + { url = "https://files.pythonhosted.org/packages/95/5c/1b493356429f9aecfd56bc171285a4c4ac8697f76e9bbbbb105e537853a1/cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d", size = 177635, upload-time = "2025-09-08T23:22:43.623Z" }, + { url = "https://files.pythonhosted.org/packages/ea/47/4f61023ea636104d4f16ab488e268b93008c3d0bb76893b1b31db1f96802/cffi-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d02d6655b0e54f54c4ef0b94eb6be0607b70853c45ce98bd278dc7de718be5d", size = 185271, upload-time = "2025-09-08T23:22:44.795Z" }, + { url = "https://files.pythonhosted.org/packages/df/a2/781b623f57358e360d62cdd7a8c681f074a71d445418a776eef0aadb4ab4/cffi-2.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8eca2a813c1cb7ad4fb74d368c2ffbbb4789d377ee5bb8df98373c2cc0dee76c", size = 181048, upload-time = "2025-09-08T23:22:45.938Z" }, + { url = "https://files.pythonhosted.org/packages/ff/df/a4f0fbd47331ceeba3d37c2e51e9dfc9722498becbeec2bd8bc856c9538a/cffi-2.0.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:21d1152871b019407d8ac3985f6775c079416c282e431a4da6afe7aefd2bccbe", size = 212529, upload-time = "2025-09-08T23:22:47.349Z" }, + { url = "https://files.pythonhosted.org/packages/d5/72/12b5f8d3865bf0f87cf1404d8c374e7487dcf097a1c91c436e72e6badd83/cffi-2.0.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b21e08af67b8a103c71a250401c78d5e0893beff75e28c53c98f4de42f774062", size = 220097, upload-time = "2025-09-08T23:22:48.677Z" }, + { url = "https://files.pythonhosted.org/packages/c2/95/7a135d52a50dfa7c882ab0ac17e8dc11cec9d55d2c18dda414c051c5e69e/cffi-2.0.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:1e3a615586f05fc4065a8b22b8152f0c1b00cdbc60596d187c2a74f9e3036e4e", size = 207983, upload-time = "2025-09-08T23:22:50.06Z" }, + { url = "https://files.pythonhosted.org/packages/3a/c8/15cb9ada8895957ea171c62dc78ff3e99159ee7adb13c0123c001a2546c1/cffi-2.0.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:81afed14892743bbe14dacb9e36d9e0e504cd204e0b165062c488942b9718037", size = 206519, upload-time = "2025-09-08T23:22:51.364Z" }, + { url = "https://files.pythonhosted.org/packages/78/2d/7fa73dfa841b5ac06c7b8855cfc18622132e365f5b81d02230333ff26e9e/cffi-2.0.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3e17ed538242334bf70832644a32a7aae3d83b57567f9fd60a26257e992b79ba", size = 219572, upload-time = "2025-09-08T23:22:52.902Z" }, + { url = "https://files.pythonhosted.org/packages/07/e0/267e57e387b4ca276b90f0434ff88b2c2241ad72b16d31836adddfd6031b/cffi-2.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3925dd22fa2b7699ed2617149842d2e6adde22b262fcbfada50e3d195e4b3a94", size = 222963, upload-time = "2025-09-08T23:22:54.518Z" }, + { url = "https://files.pythonhosted.org/packages/b6/75/1f2747525e06f53efbd878f4d03bac5b859cbc11c633d0fb81432d98a795/cffi-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2c8f814d84194c9ea681642fd164267891702542f028a15fc97d4674b6206187", size = 221361, upload-time = "2025-09-08T23:22:55.867Z" }, + { url = "https://files.pythonhosted.org/packages/7b/2b/2b6435f76bfeb6bbf055596976da087377ede68df465419d192acf00c437/cffi-2.0.0-cp312-cp312-win32.whl", hash = "sha256:da902562c3e9c550df360bfa53c035b2f241fed6d9aef119048073680ace4a18", size = 172932, upload-time = "2025-09-08T23:22:57.188Z" }, + { url = "https://files.pythonhosted.org/packages/f8/ed/13bd4418627013bec4ed6e54283b1959cf6db888048c7cf4b4c3b5b36002/cffi-2.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:da68248800ad6320861f129cd9c1bf96ca849a2771a59e0344e88681905916f5", size = 183557, upload-time = "2025-09-08T23:22:58.351Z" }, + { url = "https://files.pythonhosted.org/packages/95/31/9f7f93ad2f8eff1dbc1c3656d7ca5bfd8fb52c9d786b4dcf19b2d02217fa/cffi-2.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:4671d9dd5ec934cb9a73e7ee9676f9362aba54f7f34910956b84d727b0d73fb6", size = 177762, upload-time = "2025-09-08T23:22:59.668Z" }, + { url = "https://files.pythonhosted.org/packages/4b/8d/a0a47a0c9e413a658623d014e91e74a50cdd2c423f7ccfd44086ef767f90/cffi-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:00bdf7acc5f795150faa6957054fbbca2439db2f775ce831222b66f192f03beb", size = 185230, upload-time = "2025-09-08T23:23:00.879Z" }, + { url = "https://files.pythonhosted.org/packages/4a/d2/a6c0296814556c68ee32009d9c2ad4f85f2707cdecfd7727951ec228005d/cffi-2.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:45d5e886156860dc35862657e1494b9bae8dfa63bf56796f2fb56e1679fc0bca", size = 181043, upload-time = "2025-09-08T23:23:02.231Z" }, + { url = "https://files.pythonhosted.org/packages/b0/1e/d22cc63332bd59b06481ceaac49d6c507598642e2230f201649058a7e704/cffi-2.0.0-cp313-cp313-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:07b271772c100085dd28b74fa0cd81c8fb1a3ba18b21e03d7c27f3436a10606b", size = 212446, upload-time = "2025-09-08T23:23:03.472Z" }, + { url = "https://files.pythonhosted.org/packages/a9/f5/a2c23eb03b61a0b8747f211eb716446c826ad66818ddc7810cc2cc19b3f2/cffi-2.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d48a880098c96020b02d5a1f7d9251308510ce8858940e6fa99ece33f610838b", size = 220101, upload-time = "2025-09-08T23:23:04.792Z" }, + { url = "https://files.pythonhosted.org/packages/f2/7f/e6647792fc5850d634695bc0e6ab4111ae88e89981d35ac269956605feba/cffi-2.0.0-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:f93fd8e5c8c0a4aa1f424d6173f14a892044054871c771f8566e4008eaa359d2", size = 207948, upload-time = "2025-09-08T23:23:06.127Z" }, + { url = "https://files.pythonhosted.org/packages/cb/1e/a5a1bd6f1fb30f22573f76533de12a00bf274abcdc55c8edab639078abb6/cffi-2.0.0-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:dd4f05f54a52fb558f1ba9f528228066954fee3ebe629fc1660d874d040ae5a3", size = 206422, upload-time = "2025-09-08T23:23:07.753Z" }, + { url = "https://files.pythonhosted.org/packages/98/df/0a1755e750013a2081e863e7cd37e0cdd02664372c754e5560099eb7aa44/cffi-2.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8d3b5532fc71b7a77c09192b4a5a200ea992702734a2e9279a37f2478236f26", size = 219499, upload-time = "2025-09-08T23:23:09.648Z" }, + { url = "https://files.pythonhosted.org/packages/50/e1/a969e687fcf9ea58e6e2a928ad5e2dd88cc12f6f0ab477e9971f2309b57c/cffi-2.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d9b29c1f0ae438d5ee9acb31cadee00a58c46cc9c0b2f9038c6b0b3470877a8c", size = 222928, upload-time = "2025-09-08T23:23:10.928Z" }, + { url = "https://files.pythonhosted.org/packages/36/54/0362578dd2c9e557a28ac77698ed67323ed5b9775ca9d3fe73fe191bb5d8/cffi-2.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6d50360be4546678fc1b79ffe7a66265e28667840010348dd69a314145807a1b", size = 221302, upload-time = "2025-09-08T23:23:12.42Z" }, + { url = "https://files.pythonhosted.org/packages/eb/6d/bf9bda840d5f1dfdbf0feca87fbdb64a918a69bca42cfa0ba7b137c48cb8/cffi-2.0.0-cp313-cp313-win32.whl", hash = "sha256:74a03b9698e198d47562765773b4a8309919089150a0bb17d829ad7b44b60d27", size = 172909, upload-time = "2025-09-08T23:23:14.32Z" }, + { url = "https://files.pythonhosted.org/packages/37/18/6519e1ee6f5a1e579e04b9ddb6f1676c17368a7aba48299c3759bbc3c8b3/cffi-2.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:19f705ada2530c1167abacb171925dd886168931e0a7b78f5bffcae5c6b5be75", size = 183402, upload-time = "2025-09-08T23:23:15.535Z" }, + { url = "https://files.pythonhosted.org/packages/cb/0e/02ceeec9a7d6ee63bb596121c2c8e9b3a9e150936f4fbef6ca1943e6137c/cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91", size = 177780, upload-time = "2025-09-08T23:23:16.761Z" }, + { url = "https://files.pythonhosted.org/packages/92/c4/3ce07396253a83250ee98564f8d7e9789fab8e58858f35d07a9a2c78de9f/cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5", size = 185320, upload-time = "2025-09-08T23:23:18.087Z" }, + { url = "https://files.pythonhosted.org/packages/59/dd/27e9fa567a23931c838c6b02d0764611c62290062a6d4e8ff7863daf9730/cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13", size = 181487, upload-time = "2025-09-08T23:23:19.622Z" }, + { url = "https://files.pythonhosted.org/packages/d6/43/0e822876f87ea8a4ef95442c3d766a06a51fc5298823f884ef87aaad168c/cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b", size = 220049, upload-time = "2025-09-08T23:23:20.853Z" }, + { url = "https://files.pythonhosted.org/packages/b4/89/76799151d9c2d2d1ead63c2429da9ea9d7aac304603de0c6e8764e6e8e70/cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c", size = 207793, upload-time = "2025-09-08T23:23:22.08Z" }, + { url = "https://files.pythonhosted.org/packages/bb/dd/3465b14bb9e24ee24cb88c9e3730f6de63111fffe513492bf8c808a3547e/cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef", size = 206300, upload-time = "2025-09-08T23:23:23.314Z" }, + { url = "https://files.pythonhosted.org/packages/47/d9/d83e293854571c877a92da46fdec39158f8d7e68da75bf73581225d28e90/cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775", size = 219244, upload-time = "2025-09-08T23:23:24.541Z" }, + { url = "https://files.pythonhosted.org/packages/2b/0f/1f177e3683aead2bb00f7679a16451d302c436b5cbf2505f0ea8146ef59e/cffi-2.0.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:737fe7d37e1a1bffe70bd5754ea763a62a066dc5913ca57e957824b72a85e205", size = 222828, upload-time = "2025-09-08T23:23:26.143Z" }, + { url = "https://files.pythonhosted.org/packages/c6/0f/cafacebd4b040e3119dcb32fed8bdef8dfe94da653155f9d0b9dc660166e/cffi-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:38100abb9d1b1435bc4cc340bb4489635dc2f0da7456590877030c9b3d40b0c1", size = 220926, upload-time = "2025-09-08T23:23:27.873Z" }, + { url = "https://files.pythonhosted.org/packages/3e/aa/df335faa45b395396fcbc03de2dfcab242cd61a9900e914fe682a59170b1/cffi-2.0.0-cp314-cp314-win32.whl", hash = "sha256:087067fa8953339c723661eda6b54bc98c5625757ea62e95eb4898ad5e776e9f", size = 175328, upload-time = "2025-09-08T23:23:44.61Z" }, + { url = "https://files.pythonhosted.org/packages/bb/92/882c2d30831744296ce713f0feb4c1cd30f346ef747b530b5318715cc367/cffi-2.0.0-cp314-cp314-win_amd64.whl", hash = "sha256:203a48d1fb583fc7d78a4c6655692963b860a417c0528492a6bc21f1aaefab25", size = 185650, upload-time = "2025-09-08T23:23:45.848Z" }, + { url = "https://files.pythonhosted.org/packages/9f/2c/98ece204b9d35a7366b5b2c6539c350313ca13932143e79dc133ba757104/cffi-2.0.0-cp314-cp314-win_arm64.whl", hash = "sha256:dbd5c7a25a7cb98f5ca55d258b103a2054f859a46ae11aaf23134f9cc0d356ad", size = 180687, upload-time = "2025-09-08T23:23:47.105Z" }, + { url = "https://files.pythonhosted.org/packages/3e/61/c768e4d548bfa607abcda77423448df8c471f25dbe64fb2ef6d555eae006/cffi-2.0.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:9a67fc9e8eb39039280526379fb3a70023d77caec1852002b4da7e8b270c4dd9", size = 188773, upload-time = "2025-09-08T23:23:29.347Z" }, + { url = "https://files.pythonhosted.org/packages/2c/ea/5f76bce7cf6fcd0ab1a1058b5af899bfbef198bea4d5686da88471ea0336/cffi-2.0.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7a66c7204d8869299919db4d5069a82f1561581af12b11b3c9f48c584eb8743d", size = 185013, upload-time = "2025-09-08T23:23:30.63Z" }, + { url = "https://files.pythonhosted.org/packages/be/b4/c56878d0d1755cf9caa54ba71e5d049479c52f9e4afc230f06822162ab2f/cffi-2.0.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7cc09976e8b56f8cebd752f7113ad07752461f48a58cbba644139015ac24954c", size = 221593, upload-time = "2025-09-08T23:23:31.91Z" }, + { url = "https://files.pythonhosted.org/packages/e0/0d/eb704606dfe8033e7128df5e90fee946bbcb64a04fcdaa97321309004000/cffi-2.0.0-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:92b68146a71df78564e4ef48af17551a5ddd142e5190cdf2c5624d0c3ff5b2e8", size = 209354, upload-time = "2025-09-08T23:23:33.214Z" }, + { url = "https://files.pythonhosted.org/packages/d8/19/3c435d727b368ca475fb8742ab97c9cb13a0de600ce86f62eab7fa3eea60/cffi-2.0.0-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:b1e74d11748e7e98e2f426ab176d4ed720a64412b6a15054378afdb71e0f37dc", size = 208480, upload-time = "2025-09-08T23:23:34.495Z" }, + { url = "https://files.pythonhosted.org/packages/d0/44/681604464ed9541673e486521497406fadcc15b5217c3e326b061696899a/cffi-2.0.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:28a3a209b96630bca57cce802da70c266eb08c6e97e5afd61a75611ee6c64592", size = 221584, upload-time = "2025-09-08T23:23:36.096Z" }, + { url = "https://files.pythonhosted.org/packages/25/8e/342a504ff018a2825d395d44d63a767dd8ebc927ebda557fecdaca3ac33a/cffi-2.0.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:7553fb2090d71822f02c629afe6042c299edf91ba1bf94951165613553984512", size = 224443, upload-time = "2025-09-08T23:23:37.328Z" }, + { url = "https://files.pythonhosted.org/packages/e1/5e/b666bacbbc60fbf415ba9988324a132c9a7a0448a9a8f125074671c0f2c3/cffi-2.0.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:6c6c373cfc5c83a975506110d17457138c8c63016b563cc9ed6e056a82f13ce4", size = 223437, upload-time = "2025-09-08T23:23:38.945Z" }, + { url = "https://files.pythonhosted.org/packages/a0/1d/ec1a60bd1a10daa292d3cd6bb0b359a81607154fb8165f3ec95fe003b85c/cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e", size = 180487, upload-time = "2025-09-08T23:23:40.423Z" }, + { url = "https://files.pythonhosted.org/packages/bf/41/4c1168c74fac325c0c8156f04b6749c8b6a8f405bbf91413ba088359f60d/cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6", size = 191726, upload-time = "2025-09-08T23:23:41.742Z" }, + { url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" }, +] + +[[package]] +name = "cftime" +version = "1.6.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/65/dc/470ffebac2eb8c54151eb893055024fe81b1606e7c6ff8449a588e9cd17f/cftime-1.6.5.tar.gz", hash = "sha256:8225fed6b9b43fb87683ebab52130450fc1730011150d3092096a90e54d1e81e", size = 326605, upload-time = "2025-10-13T18:56:26.352Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/45/dcc38d7b293107d3e33b3d94b2619687eb414a4f16880e2e841cdb6ac49a/cftime-1.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ad81e8cb0eb873b33c3d1e22c6168163fdc64daa8f7aeb4da8092f272575f4d", size = 510221, upload-time = "2025-10-13T18:55:52.976Z" }, + { url = "https://files.pythonhosted.org/packages/68/63/2875341516fcfe80f1a16f86b420aec9441223ab5381d554441c9fdae56e/cftime-1.6.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12d95c6af852114a13301c5a61e41afdbd1542e72939c1083796f8418b9b8b0e", size = 490684, upload-time = "2025-10-13T18:55:54.685Z" }, + { url = "https://files.pythonhosted.org/packages/80/7f/85f2c4c7ae8300b7871af7d7d144ad06f71dc0dd6258f0d18fd966067d1b/cftime-1.6.5-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2659b7df700e27d9e3671f686ce474dfb5fc274966961edf996acc148dfa094a", size = 1592268, upload-time = "2025-10-13T19:39:10.992Z" }, + { url = "https://files.pythonhosted.org/packages/6c/9a/72dbd72498e958edf41a770bbd05e68141774325a945092059f4eb9c653d/cftime-1.6.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:94cebdfcda6a985b8e69aed22d00d6b8aa1f421495adbdcff1d59b3e896d81e2", size = 1624716, upload-time = "2025-10-13T18:55:55.848Z" }, + { url = "https://files.pythonhosted.org/packages/bc/9e/2c4c720ad8bbe87994ca62a0e3c09d3786b984af664a91a6f3a668aa0b13/cftime-1.6.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:179681b023349a2fe277ceccc89d4fc52c0dd105cb59b7187b5bc5d442875133", size = 1705927, upload-time = "2025-10-13T18:55:57.711Z" }, + { url = "https://files.pythonhosted.org/packages/da/77/66484061dee5fbcb2fdcfa6a491d4efb880725117f4a339d20a5323105df/cftime-1.6.5-cp310-cp310-win_amd64.whl", hash = "sha256:d8b9fdecb466879cfe8ca4472b229b6f8d0bb65e4ffd44266ae17484bac2cf38", size = 472435, upload-time = "2025-10-13T18:55:59.092Z" }, + { url = "https://files.pythonhosted.org/packages/e4/f6/9da7aba9548ede62d25936b8b448acd7e53e5dcc710896f66863dcc9a318/cftime-1.6.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:474e728f5a387299418f8d7cb9c52248dcd5d977b2a01de7ec06bba572e26b02", size = 512733, upload-time = "2025-10-13T18:56:00.189Z" }, + { url = "https://files.pythonhosted.org/packages/1f/d5/d86ad95fc1fd89947c34b495ff6487b6d361cf77500217423b4ebcb1f0c2/cftime-1.6.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab9e80d4de815cac2e2d88a2335231254980e545d0196eb34ee8f7ed612645f1", size = 492946, upload-time = "2025-10-13T18:56:01.262Z" }, + { url = "https://files.pythonhosted.org/packages/4f/93/d7e8dd76b03a9d5be41a3b3185feffc7ea5359228bdffe7aa43ac772a75b/cftime-1.6.5-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ad24a563784e4795cb3d04bd985895b5db49ace2cbb71fcf1321fd80141f9a52", size = 1689856, upload-time = "2025-10-13T19:39:12.873Z" }, + { url = "https://files.pythonhosted.org/packages/3e/8d/86586c0d75110f774e46e2bd6d134e2d1cca1dedc9bb08c388fa3df76acd/cftime-1.6.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3cda6fd12c7fb25eff40a6a857a2bf4d03e8cc71f80485d8ddc65ccbd80f16a", size = 1718573, upload-time = "2025-10-13T18:56:02.788Z" }, + { url = "https://files.pythonhosted.org/packages/bb/fe/7956914cfc135992e89098ebbc67d683c51ace5366ba4b114fef1de89b21/cftime-1.6.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:28cda78d685397ba23d06273b9c916c3938d8d9e6872a537e76b8408a321369b", size = 1788563, upload-time = "2025-10-13T18:56:04.075Z" }, + { url = "https://files.pythonhosted.org/packages/e5/c7/6669708fcfe1bb7b2a7ce693b8cc67165eac00d3ac5a5e8f6ce1be551ff9/cftime-1.6.5-cp311-cp311-win_amd64.whl", hash = "sha256:93ead088e3a216bdeb9368733a0ef89a7451dfc1d2de310c1c0366a56ad60dc8", size = 473631, upload-time = "2025-10-13T18:56:05.159Z" }, + { url = "https://files.pythonhosted.org/packages/82/c5/d70cb1ab533ca790d7c9b69f98215fa4fead17f05547e928c8f2b8f96e54/cftime-1.6.5-cp311-cp311-win_arm64.whl", hash = "sha256:3384d69a0a7f3d45bded21a8cbcce66c8ba06c13498eac26c2de41b1b9b6e890", size = 459383, upload-time = "2026-01-02T21:16:47.317Z" }, + { url = "https://files.pythonhosted.org/packages/b6/c1/e8cb7f78a3f87295450e7300ebaecf83076d96a99a76190593d4e1d2be40/cftime-1.6.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:eef25caed5ebd003a38719bd3ff8847cd52ef2ea56c3ebdb2c9345ba131fc7c5", size = 504175, upload-time = "2025-10-13T18:56:06.398Z" }, + { url = "https://files.pythonhosted.org/packages/50/1a/86e1072b09b2f9049bb7378869f64b6747f96a4f3008142afed8955b52a4/cftime-1.6.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c87d2f3b949e45463e559233c69e6a9cf691b2b378c1f7556166adfabbd1c6b0", size = 485980, upload-time = "2025-10-13T18:56:08.669Z" }, + { url = "https://files.pythonhosted.org/packages/35/28/d3177b60da3f308b60dee2aef2eb69997acfab1e863f0bf0d2a418396ce5/cftime-1.6.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:82cb413973cc51b55642b3a1ca5b28db5b93a294edbef7dc049c074b478b4647", size = 1591166, upload-time = "2025-10-13T19:39:14.109Z" }, + { url = "https://files.pythonhosted.org/packages/d1/fd/a7266970312df65e68b5641b86e0540a739182f5e9c62eec6dbd29f18055/cftime-1.6.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:85ba8e7356d239cfe56ef7707ac30feaf67964642ac760a82e507ee3c5db4ac4", size = 1642614, upload-time = "2025-10-13T18:56:09.815Z" }, + { url = "https://files.pythonhosted.org/packages/c4/73/f0035a4bc2df8885bb7bd5fe63659686ea1ec7d0cc74b4e3d50e447402e5/cftime-1.6.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:456039af7907a3146689bb80bfd8edabd074c7f3b4eca61f91b9c2670addd7ad", size = 1688090, upload-time = "2025-10-13T18:56:11.442Z" }, + { url = "https://files.pythonhosted.org/packages/88/15/8856a0ab76708553ff597dd2e617b088c734ba87dc3fd395e2b2f3efffe8/cftime-1.6.5-cp312-cp312-win_amd64.whl", hash = "sha256:da84534c43699960dc980a9a765c33433c5de1a719a4916748c2d0e97a071e44", size = 464840, upload-time = "2025-10-13T18:56:12.506Z" }, + { url = "https://files.pythonhosted.org/packages/3a/85/451009a986d9273d2208fc0898aa00262275b5773259bf3f942f6716a9e7/cftime-1.6.5-cp312-cp312-win_arm64.whl", hash = "sha256:c62cd8db9ea40131eea7d4523691c5d806d3265d31279e4a58574a42c28acd77", size = 450534, upload-time = "2026-01-02T21:16:48.784Z" }, + { url = "https://files.pythonhosted.org/packages/2e/60/74ea344b3b003fada346ed98a6899085d6fd4c777df608992d90c458fda6/cftime-1.6.5-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:4aba66fd6497711a47c656f3a732c2d1755ad15f80e323c44a8716ebde39ddd5", size = 502453, upload-time = "2025-10-13T18:56:13.545Z" }, + { url = "https://files.pythonhosted.org/packages/1e/14/adb293ac6127079b49ff11c05cf3d5ce5c1f17d097f326dc02d74ddfcb6e/cftime-1.6.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:89e7cba699242366e67d6fb5aee579440e791063f92a93853610c91647167c0d", size = 484541, upload-time = "2025-10-13T18:56:14.612Z" }, + { url = "https://files.pythonhosted.org/packages/4f/74/bb8a4566af8d0ef3f045d56c462a9115da4f04b07c7fbbf2b4875223eebd/cftime-1.6.5-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2f1eb43d7a7b919ec99aee709fb62ef87ef1cf0679829ef93d37cc1c725781e9", size = 1591014, upload-time = "2025-10-13T19:39:15.346Z" }, + { url = "https://files.pythonhosted.org/packages/ba/08/52f06ff2f04d376f9cd2c211aefcf2b37f1978e43289341f362fc99f6a0e/cftime-1.6.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e02a1d80ffc33fe469c7db68aa24c4a87f01da0c0c621373e5edadc92964900b", size = 1633625, upload-time = "2025-10-13T18:56:15.745Z" }, + { url = "https://files.pythonhosted.org/packages/cf/33/03e0b23d58ea8fab94ecb4f7c5b721e844a0800c13694876149d98830a73/cftime-1.6.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:18ab754805233cdd889614b2b3b86a642f6d51a57a1ec327c48053f3414f87d8", size = 1684269, upload-time = "2025-10-13T18:56:17.04Z" }, + { url = "https://files.pythonhosted.org/packages/a4/60/a0cfba63847b43599ef1cdbbf682e61894994c22b9a79fd9e1e8c7e9de41/cftime-1.6.5-cp313-cp313-win_amd64.whl", hash = "sha256:6c27add8f907f4a4cd400e89438f2ea33e2eb5072541a157a4d013b7dbe93f9c", size = 465364, upload-time = "2025-10-13T18:56:18.05Z" }, + { url = "https://files.pythonhosted.org/packages/3d/e8/ec32f2aef22c15604e6fda39ff8d581a00b5469349f8fba61640d5358d2c/cftime-1.6.5-cp313-cp313-win_arm64.whl", hash = "sha256:31d1ff8f6bbd4ca209099d24459ec16dea4fb4c9ab740fbb66dd057ccbd9b1b9", size = 450468, upload-time = "2026-01-02T21:16:50.193Z" }, + { url = "https://files.pythonhosted.org/packages/ea/6c/a9618f589688358e279720f5c0fe67ef0077fba07334ce26895403ebc260/cftime-1.6.5-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c69ce3bdae6a322cbb44e9ebc20770d47748002fb9d68846a1e934f1bd5daf0b", size = 502725, upload-time = "2025-10-13T18:56:19.424Z" }, + { url = "https://files.pythonhosted.org/packages/d8/e3/da3c36398bfb730b96248d006cabaceed87e401ff56edafb2a978293e228/cftime-1.6.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:e62e9f2943e014c5ef583245bf2e878398af131c97e64f8cd47c1d7baef5c4e2", size = 485445, upload-time = "2025-10-13T18:56:20.853Z" }, + { url = "https://files.pythonhosted.org/packages/32/93/b05939e5abd14bd1ab69538bbe374b4ee2a15467b189ff895e9a8cdaddf6/cftime-1.6.5-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7da5fdaa4360d8cb89b71b8ded9314f2246aa34581e8105c94ad58d6102d9e4f", size = 1584434, upload-time = "2025-10-13T19:39:17.084Z" }, + { url = "https://files.pythonhosted.org/packages/7f/89/648397f9936e0b330999c4e776ebf296ec3c6a65f9901687dbca4ab820da/cftime-1.6.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bff865b4ea4304f2744a1ad2b8149b8328b321dd7a2b9746ef926d229bd7cd49", size = 1609812, upload-time = "2025-10-13T18:56:21.971Z" }, + { url = "https://files.pythonhosted.org/packages/e7/0f/901b4835aa67ad3e915605d4e01d0af80a44b114eefab74ae33de6d36933/cftime-1.6.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:e552c5d1c8a58f25af7521e49237db7ca52ed2953e974fe9f7c4491e95fdd36c", size = 1669768, upload-time = "2025-10-13T18:56:24.027Z" }, + { url = "https://files.pythonhosted.org/packages/22/d5/e605e4b28363e7a9ae98ed12cabbda5b155b6009270e6a231d8f10182a17/cftime-1.6.5-cp314-cp314-win_amd64.whl", hash = "sha256:e645b095dc50a38ac454b7e7f0742f639e7d7f6b108ad329358544a6ff8c9ba2", size = 463818, upload-time = "2025-10-13T18:56:25.376Z" }, + { url = "https://files.pythonhosted.org/packages/3d/89/a8f85ae697ff10206ec401c2621f5ca9f327554f586d62f244739ceeb347/cftime-1.6.5-cp314-cp314-win_arm64.whl", hash = "sha256:b9044d7ac82d3d8af189df1032fdc871bbd3f3dd41a6ec79edceb5029b71e6e0", size = 459862, upload-time = "2026-01-02T20:45:02.625Z" }, + { url = "https://files.pythonhosted.org/packages/ab/05/7410e12fd03a0c52717e74e6a1b49958810807dda212e23b65d43ea99676/cftime-1.6.5-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:9ef56460cb0576e1a9161e1428c9e1a633f809a23fa9d598f313748c1ae5064e", size = 533781, upload-time = "2026-01-02T20:45:04.818Z" }, + { url = "https://files.pythonhosted.org/packages/44/ba/10e3546426d3ed9f9cc82e4a99836bb6fac1642c7830f7bdd0ac1c3f0805/cftime-1.6.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:4f4873d38b10032f9f3111c547a1d485519ae64eee6a7a2d091f1f8b08e1ba50", size = 515218, upload-time = "2026-01-02T20:45:06.788Z" }, + { url = "https://files.pythonhosted.org/packages/bd/68/efa11eae867749e921bfec6a865afdba8166e96188112dde70bb8bb49254/cftime-1.6.5-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ccce0f4c9d3f38dd948a117e578b50d0e0db11e2ca9435fb358fd524813e4b61", size = 1579932, upload-time = "2026-01-02T20:45:11.194Z" }, + { url = "https://files.pythonhosted.org/packages/9d/6c/0971e602c1390a423e6621dfbad9f1d375186bdaf9c9c7f75e06f1fbf355/cftime-1.6.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:19cbfc5152fb0b34ce03acf9668229af388d7baa63a78f936239cb011ccbe6b1", size = 1555894, upload-time = "2026-01-02T20:45:16.351Z" }, + { url = "https://files.pythonhosted.org/packages/ad/fc/8475a15b7c3209a4a68b563dfc5e01ce74f2d8b9822372c3d30c68ab7f39/cftime-1.6.5-cp314-cp314t-win_amd64.whl", hash = "sha256:4470cd5ef3c2514566f53efbcbb64dd924fa0584637d90285b2f983bd4ee7d97", size = 513027, upload-time = "2026-01-02T20:45:20.023Z" }, + { url = "https://files.pythonhosted.org/packages/f7/80/4ecbda8318fbf40ad4e005a4a93aebba69e81382e5b4c6086251cd5d0ee8/cftime-1.6.5-cp314-cp314t-win_arm64.whl", hash = "sha256:034c15a67144a0a5590ef150c99f844897618b148b87131ed34fda7072614662", size = 469065, upload-time = "2026-01-02T20:45:23.398Z" }, +] + +[[package]] +name = "charset-normalizer" +version = "3.4.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e6/8c/2c56124c6dc53a774d435f985b5973bc592f42d437be58c0c92d65ae7296/charset_normalizer-3.4.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2e1d8ca8611099001949d1cdfaefc510cf0f212484fe7c565f735b68c78c3c95", size = 298751, upload-time = "2026-03-15T18:50:00.003Z" }, + { url = "https://files.pythonhosted.org/packages/86/2a/2a7db6b314b966a3bcad8c731c0719c60b931b931de7ae9f34b2839289ee/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd", size = 200027, upload-time = "2026-03-15T18:50:01.702Z" }, + { url = "https://files.pythonhosted.org/packages/68/f2/0fe775c74ae25e2a3b07b01538fc162737b3e3f795bada3bc26f4d4d495c/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:259695e2ccc253feb2a016303543d691825e920917e31f894ca1a687982b1de4", size = 220741, upload-time = "2026-03-15T18:50:03.194Z" }, + { url = "https://files.pythonhosted.org/packages/10/98/8085596e41f00b27dd6aa1e68413d1ddda7e605f34dd546833c61fddd709/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:dda86aba335c902b6149a02a55b38e96287157e609200811837678214ba2b1db", size = 215802, upload-time = "2026-03-15T18:50:05.859Z" }, + { url = "https://files.pythonhosted.org/packages/fd/ce/865e4e09b041bad659d682bbd98b47fb490b8e124f9398c9448065f64fee/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51fb3c322c81d20567019778cb5a4a6f2dc1c200b886bc0d636238e364848c89", size = 207908, upload-time = "2026-03-15T18:50:07.676Z" }, + { url = "https://files.pythonhosted.org/packages/a8/54/8c757f1f7349262898c2f169e0d562b39dcb977503f18fdf0814e923db78/charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:4482481cb0572180b6fd976a4d5c72a30263e98564da68b86ec91f0fe35e8565", size = 194357, upload-time = "2026-03-15T18:50:09.327Z" }, + { url = "https://files.pythonhosted.org/packages/6f/29/e88f2fac9218907fc7a70722b393d1bbe8334c61fe9c46640dba349b6e66/charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:39f5068d35621da2881271e5c3205125cc456f54e9030d3f723288c873a71bf9", size = 205610, upload-time = "2026-03-15T18:50:10.732Z" }, + { url = "https://files.pythonhosted.org/packages/4c/c5/21d7bb0cb415287178450171d130bed9d664211fdd59731ed2c34267b07d/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bea55c4eef25b0b19a0337dc4e3f9a15b00d569c77211fa8cde38684f234fb7", size = 203512, upload-time = "2026-03-15T18:50:12.535Z" }, + { url = "https://files.pythonhosted.org/packages/a4/be/ce52f3c7fdb35cc987ad38a53ebcef52eec498f4fb6c66ecfe62cfe57ba2/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:f0cdaecd4c953bfae0b6bb64910aaaca5a424ad9c72d85cb88417bb9814f7550", size = 195398, upload-time = "2026-03-15T18:50:14.236Z" }, + { url = "https://files.pythonhosted.org/packages/81/a0/3ab5dd39d4859a3555e5dadfc8a9fa7f8352f8c183d1a65c90264517da0e/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:150b8ce8e830eb7ccb029ec9ca36022f756986aaaa7956aad6d9ec90089338c0", size = 221772, upload-time = "2026-03-15T18:50:15.581Z" }, + { url = "https://files.pythonhosted.org/packages/04/6e/6a4e41a97ba6b2fa87f849c41e4d229449a586be85053c4d90135fe82d26/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:e68c14b04827dd76dcbd1aeea9e604e3e4b78322d8faf2f8132c7138efa340a8", size = 205759, upload-time = "2026-03-15T18:50:17.047Z" }, + { url = "https://files.pythonhosted.org/packages/db/3b/34a712a5ee64a6957bf355b01dc17b12de457638d436fdb05d01e463cd1c/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:3778fd7d7cd04ae8f54651f4a7a0bd6e39a0cf20f801720a4c21d80e9b7ad6b0", size = 216938, upload-time = "2026-03-15T18:50:18.44Z" }, + { url = "https://files.pythonhosted.org/packages/cb/05/5bd1e12da9ab18790af05c61aafd01a60f489778179b621ac2a305243c62/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:dad6e0f2e481fffdcf776d10ebee25e0ef89f16d691f1e5dee4b586375fdc64b", size = 210138, upload-time = "2026-03-15T18:50:19.852Z" }, + { url = "https://files.pythonhosted.org/packages/bd/8e/3cb9e2d998ff6b21c0a1860343cb7b83eba9cdb66b91410e18fc4969d6ab/charset_normalizer-3.4.6-cp310-cp310-win32.whl", hash = "sha256:74a2e659c7ecbc73562e2a15e05039f1e22c75b7c7618b4b574a3ea9118d1557", size = 144137, upload-time = "2026-03-15T18:50:21.505Z" }, + { url = "https://files.pythonhosted.org/packages/d8/8f/78f5489ffadb0db3eb7aff53d31c24531d33eb545f0c6f6567c25f49a5ff/charset_normalizer-3.4.6-cp310-cp310-win_amd64.whl", hash = "sha256:aa9cccf4a44b9b62d8ba8b4dd06c649ba683e4bf04eea606d2e94cfc2d6ff4d6", size = 154244, upload-time = "2026-03-15T18:50:22.81Z" }, + { url = "https://files.pythonhosted.org/packages/e4/74/e472659dffb0cadb2f411282d2d76c60da1fc94076d7fffed4ae8a93ec01/charset_normalizer-3.4.6-cp310-cp310-win_arm64.whl", hash = "sha256:e985a16ff513596f217cee86c21371b8cd011c0f6f056d0920aa2d926c544058", size = 143312, upload-time = "2026-03-15T18:50:24.074Z" }, + { url = "https://files.pythonhosted.org/packages/62/28/ff6f234e628a2de61c458be2779cb182bc03f6eec12200d4a525bbfc9741/charset_normalizer-3.4.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:82060f995ab5003a2d6e0f4ad29065b7672b6593c8c63559beefe5b443242c3e", size = 293582, upload-time = "2026-03-15T18:50:25.454Z" }, + { url = "https://files.pythonhosted.org/packages/1c/b7/b1a117e5385cbdb3205f6055403c2a2a220c5ea80b8716c324eaf75c5c95/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:60c74963d8350241a79cb8feea80e54d518f72c26db618862a8f53e5023deaf9", size = 197240, upload-time = "2026-03-15T18:50:27.196Z" }, + { url = "https://files.pythonhosted.org/packages/a1/5f/2574f0f09f3c3bc1b2f992e20bce6546cb1f17e111c5be07308dc5427956/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f6e4333fb15c83f7d1482a76d45a0818897b3d33f00efd215528ff7c51b8e35d", size = 217363, upload-time = "2026-03-15T18:50:28.601Z" }, + { url = "https://files.pythonhosted.org/packages/4a/d1/0ae20ad77bc949ddd39b51bf383b6ca932f2916074c95cad34ae465ab71f/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:bc72863f4d9aba2e8fd9085e63548a324ba706d2ea2c83b260da08a59b9482de", size = 212994, upload-time = "2026-03-15T18:50:30.102Z" }, + { url = "https://files.pythonhosted.org/packages/60/ac/3233d262a310c1b12633536a07cde5ddd16985e6e7e238e9f3f9423d8eb9/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9cc4fc6c196d6a8b76629a70ddfcd4635a6898756e2d9cac5565cf0654605d73", size = 204697, upload-time = "2026-03-15T18:50:31.654Z" }, + { url = "https://files.pythonhosted.org/packages/25/3c/8a18fc411f085b82303cfb7154eed5bd49c77035eb7608d049468b53f87c/charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_armv7l.whl", hash = "sha256:0c173ce3a681f309f31b87125fecec7a5d1347261ea11ebbb856fa6006b23c8c", size = 191673, upload-time = "2026-03-15T18:50:33.433Z" }, + { url = "https://files.pythonhosted.org/packages/ff/a7/11cfe61d6c5c5c7438d6ba40919d0306ed83c9ab957f3d4da2277ff67836/charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c907cdc8109f6c619e6254212e794d6548373cc40e1ec75e6e3823d9135d29cc", size = 201120, upload-time = "2026-03-15T18:50:35.105Z" }, + { url = "https://files.pythonhosted.org/packages/b5/10/cf491fa1abd47c02f69687046b896c950b92b6cd7337a27e6548adbec8e4/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:404a1e552cf5b675a87f0651f8b79f5f1e6fd100ee88dc612f89aa16abd4486f", size = 200911, upload-time = "2026-03-15T18:50:36.819Z" }, + { url = "https://files.pythonhosted.org/packages/28/70/039796160b48b18ed466fde0af84c1b090c4e288fae26cd674ad04a2d703/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:e3c701e954abf6fc03a49f7c579cc80c2c6cc52525340ca3186c41d3f33482ef", size = 192516, upload-time = "2026-03-15T18:50:38.228Z" }, + { url = "https://files.pythonhosted.org/packages/ff/34/c56f3223393d6ff3124b9e78f7de738047c2d6bc40a4f16ac0c9d7a1cb3c/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:7a6967aaf043bceabab5412ed6bd6bd26603dae84d5cb75bf8d9a74a4959d398", size = 218795, upload-time = "2026-03-15T18:50:39.664Z" }, + { url = "https://files.pythonhosted.org/packages/e8/3b/ce2d4f86c5282191a041fdc5a4ce18f1c6bd40a5bd1f74cf8625f08d51c1/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:5feb91325bbceade6afab43eb3b508c63ee53579fe896c77137ded51c6b6958e", size = 201833, upload-time = "2026-03-15T18:50:41.552Z" }, + { url = "https://files.pythonhosted.org/packages/3b/9b/b6a9f76b0fd7c5b5ec58b228ff7e85095370282150f0bd50b3126f5506d6/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:f820f24b09e3e779fe84c3c456cb4108a7aa639b0d1f02c28046e11bfcd088ed", size = 213920, upload-time = "2026-03-15T18:50:43.33Z" }, + { url = "https://files.pythonhosted.org/packages/ae/98/7bc23513a33d8172365ed30ee3a3b3fe1ece14a395e5fc94129541fc6003/charset_normalizer-3.4.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b35b200d6a71b9839a46b9b7fff66b6638bb52fc9658aa58796b0326595d3021", size = 206951, upload-time = "2026-03-15T18:50:44.789Z" }, + { url = "https://files.pythonhosted.org/packages/32/73/c0b86f3d1458468e11aec870e6b3feac931facbe105a894b552b0e518e79/charset_normalizer-3.4.6-cp311-cp311-win32.whl", hash = "sha256:9ca4c0b502ab399ef89248a2c84c54954f77a070f28e546a85e91da627d1301e", size = 143703, upload-time = "2026-03-15T18:50:46.103Z" }, + { url = "https://files.pythonhosted.org/packages/c6/e3/76f2facfe8eddee0bbd38d2594e709033338eae44ebf1738bcefe0a06185/charset_normalizer-3.4.6-cp311-cp311-win_amd64.whl", hash = "sha256:a9e68c9d88823b274cf1e72f28cb5dc89c990edf430b0bfd3e2fb0785bfeabf4", size = 153857, upload-time = "2026-03-15T18:50:47.563Z" }, + { url = "https://files.pythonhosted.org/packages/e2/dc/9abe19c9b27e6cd3636036b9d1b387b78c40dedbf0b47f9366737684b4b0/charset_normalizer-3.4.6-cp311-cp311-win_arm64.whl", hash = "sha256:97d0235baafca5f2b09cf332cc275f021e694e8362c6bb9c96fc9a0eb74fc316", size = 142751, upload-time = "2026-03-15T18:50:49.234Z" }, + { url = "https://files.pythonhosted.org/packages/e5/62/c0815c992c9545347aeea7859b50dc9044d147e2e7278329c6e02ac9a616/charset_normalizer-3.4.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:2ef7fedc7a6ecbe99969cd09632516738a97eeb8bd7258bf8a0f23114c057dab", size = 295154, upload-time = "2026-03-15T18:50:50.88Z" }, + { url = "https://files.pythonhosted.org/packages/a8/37/bdca6613c2e3c58c7421891d80cc3efa1d32e882f7c4a7ee6039c3fc951a/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a4ea868bc28109052790eb2b52a9ab33f3aa7adc02f96673526ff47419490e21", size = 199191, upload-time = "2026-03-15T18:50:52.658Z" }, + { url = "https://files.pythonhosted.org/packages/6c/92/9934d1bbd69f7f398b38c5dae1cbf9cc672e7c34a4adf7b17c0a9c17d15d/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:836ab36280f21fc1a03c99cd05c6b7af70d2697e374c7af0b61ed271401a72a2", size = 218674, upload-time = "2026-03-15T18:50:54.102Z" }, + { url = "https://files.pythonhosted.org/packages/af/90/25f6ab406659286be929fd89ab0e78e38aa183fc374e03aa3c12d730af8a/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:f1ce721c8a7dfec21fcbdfe04e8f68174183cf4e8188e0645e92aa23985c57ff", size = 215259, upload-time = "2026-03-15T18:50:55.616Z" }, + { url = "https://files.pythonhosted.org/packages/4e/ef/79a463eb0fff7f96afa04c1d4c51f8fc85426f918db467854bfb6a569ce3/charset_normalizer-3.4.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e28d62a8fc7a1fa411c43bd65e346f3bce9716dc51b897fbe930c5987b402d5", size = 207276, upload-time = "2026-03-15T18:50:57.054Z" }, + { url = "https://files.pythonhosted.org/packages/f7/72/d0426afec4b71dc159fa6b4e68f868cd5a3ecd918fec5813a15d292a7d10/charset_normalizer-3.4.6-cp312-cp312-manylinux_2_31_armv7l.whl", hash = "sha256:530d548084c4a9f7a16ed4a294d459b4f229db50df689bfe92027452452943a0", size = 195161, upload-time = "2026-03-15T18:50:58.686Z" }, + { url = "https://files.pythonhosted.org/packages/bf/18/c82b06a68bfcb6ce55e508225d210c7e6a4ea122bfc0748892f3dc4e8e11/charset_normalizer-3.4.6-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:30f445ae60aad5e1f8bdbb3108e39f6fbc09f4ea16c815c66578878325f8f15a", size = 203452, upload-time = "2026-03-15T18:51:00.196Z" }, + { url = "https://files.pythonhosted.org/packages/44/d6/0c25979b92f8adafdbb946160348d8d44aa60ce99afdc27df524379875cb/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ac2393c73378fea4e52aa56285a3d64be50f1a12395afef9cce47772f60334c2", size = 202272, upload-time = "2026-03-15T18:51:01.703Z" }, + { url = "https://files.pythonhosted.org/packages/2e/3d/7fea3e8fe84136bebbac715dd1221cc25c173c57a699c030ab9b8900cbb7/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:90ca27cd8da8118b18a52d5f547859cc1f8354a00cd1e8e5120df3e30d6279e5", size = 195622, upload-time = "2026-03-15T18:51:03.526Z" }, + { url = "https://files.pythonhosted.org/packages/57/8a/d6f7fd5cb96c58ef2f681424fbca01264461336d2a7fc875e4446b1f1346/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:8e5a94886bedca0f9b78fecd6afb6629142fd2605aa70a125d49f4edc6037ee6", size = 220056, upload-time = "2026-03-15T18:51:05.269Z" }, + { url = "https://files.pythonhosted.org/packages/16/50/478cdda782c8c9c3fb5da3cc72dd7f331f031e7f1363a893cdd6ca0f8de0/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:695f5c2823691a25f17bc5d5ffe79fa90972cc34b002ac6c843bb8a1720e950d", size = 203751, upload-time = "2026-03-15T18:51:06.858Z" }, + { url = "https://files.pythonhosted.org/packages/75/fc/cc2fcac943939c8e4d8791abfa139f685e5150cae9f94b60f12520feaa9b/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:231d4da14bcd9301310faf492051bee27df11f2bc7549bc0bb41fef11b82daa2", size = 216563, upload-time = "2026-03-15T18:51:08.564Z" }, + { url = "https://files.pythonhosted.org/packages/a8/b7/a4add1d9a5f68f3d037261aecca83abdb0ab15960a3591d340e829b37298/charset_normalizer-3.4.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a056d1ad2633548ca18ffa2f85c202cfb48b68615129143915b8dc72a806a923", size = 209265, upload-time = "2026-03-15T18:51:10.312Z" }, + { url = "https://files.pythonhosted.org/packages/6c/18/c094561b5d64a24277707698e54b7f67bd17a4f857bbfbb1072bba07c8bf/charset_normalizer-3.4.6-cp312-cp312-win32.whl", hash = "sha256:c2274ca724536f173122f36c98ce188fd24ce3dad886ec2b7af859518ce008a4", size = 144229, upload-time = "2026-03-15T18:51:11.694Z" }, + { url = "https://files.pythonhosted.org/packages/ab/20/0567efb3a8fd481b8f34f739ebddc098ed062a59fed41a8d193a61939e8f/charset_normalizer-3.4.6-cp312-cp312-win_amd64.whl", hash = "sha256:c8ae56368f8cc97c7e40a7ee18e1cedaf8e780cd8bc5ed5ac8b81f238614facb", size = 154277, upload-time = "2026-03-15T18:51:13.004Z" }, + { url = "https://files.pythonhosted.org/packages/15/57/28d79b44b51933119e21f65479d0864a8d5893e494cf5daab15df0247c17/charset_normalizer-3.4.6-cp312-cp312-win_arm64.whl", hash = "sha256:899d28f422116b08be5118ef350c292b36fc15ec2daeb9ea987c89281c7bb5c4", size = 142817, upload-time = "2026-03-15T18:51:14.408Z" }, + { url = "https://files.pythonhosted.org/packages/1e/1d/4fdabeef4e231153b6ed7567602f3b68265ec4e5b76d6024cf647d43d981/charset_normalizer-3.4.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:11afb56037cbc4b1555a34dd69151e8e069bee82e613a73bef6e714ce733585f", size = 294823, upload-time = "2026-03-15T18:51:15.755Z" }, + { url = "https://files.pythonhosted.org/packages/47/7b/20e809b89c69d37be748d98e84dce6820bf663cf19cf6b942c951a3e8f41/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:423fb7e748a08f854a08a222b983f4df1912b1daedce51a72bd24fe8f26a1843", size = 198527, upload-time = "2026-03-15T18:51:17.177Z" }, + { url = "https://files.pythonhosted.org/packages/37/a6/4f8d27527d59c039dce6f7622593cdcd3d70a8504d87d09eb11e9fdc6062/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:d73beaac5e90173ac3deb9928a74763a6d230f494e4bfb422c217a0ad8e629bf", size = 218388, upload-time = "2026-03-15T18:51:18.934Z" }, + { url = "https://files.pythonhosted.org/packages/f6/9b/4770ccb3e491a9bacf1c46cc8b812214fe367c86a96353ccc6daf87b01ec/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d60377dce4511655582e300dc1e5a5f24ba0cb229005a1d5c8d0cb72bb758ab8", size = 214563, upload-time = "2026-03-15T18:51:20.374Z" }, + { url = "https://files.pythonhosted.org/packages/2b/58/a199d245894b12db0b957d627516c78e055adc3a0d978bc7f65ddaf7c399/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:530e8cebeea0d76bdcf93357aa5e41336f48c3dc709ac52da2bb167c5b8271d9", size = 206587, upload-time = "2026-03-15T18:51:21.807Z" }, + { url = "https://files.pythonhosted.org/packages/7e/70/3def227f1ec56f5c69dfc8392b8bd63b11a18ca8178d9211d7cc5e5e4f27/charset_normalizer-3.4.6-cp313-cp313-manylinux_2_31_armv7l.whl", hash = "sha256:a26611d9987b230566f24a0a125f17fe0de6a6aff9f25c9f564aaa2721a5fb88", size = 194724, upload-time = "2026-03-15T18:51:23.508Z" }, + { url = "https://files.pythonhosted.org/packages/58/ab/9318352e220c05efd31c2779a23b50969dc94b985a2efa643ed9077bfca5/charset_normalizer-3.4.6-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:34315ff4fc374b285ad7f4a0bf7dcbfe769e1b104230d40f49f700d4ab6bbd84", size = 202956, upload-time = "2026-03-15T18:51:25.239Z" }, + { url = "https://files.pythonhosted.org/packages/75/13/f3550a3ac25b70f87ac98c40d3199a8503676c2f1620efbf8d42095cfc40/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5f8ddd609f9e1af8c7bd6e2aca279c931aefecd148a14402d4e368f3171769fd", size = 201923, upload-time = "2026-03-15T18:51:26.682Z" }, + { url = "https://files.pythonhosted.org/packages/1b/db/c5c643b912740b45e8eec21de1bbab8e7fc085944d37e1e709d3dcd9d72f/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:80d0a5615143c0b3225e5e3ef22c8d5d51f3f72ce0ea6fb84c943546c7b25b6c", size = 195366, upload-time = "2026-03-15T18:51:28.129Z" }, + { url = "https://files.pythonhosted.org/packages/5a/67/3b1c62744f9b2448443e0eb160d8b001c849ec3fef591e012eda6484787c/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:92734d4d8d187a354a556626c221cd1a892a4e0802ccb2af432a1d85ec012194", size = 219752, upload-time = "2026-03-15T18:51:29.556Z" }, + { url = "https://files.pythonhosted.org/packages/f6/98/32ffbaf7f0366ffb0445930b87d103f6b406bc2c271563644bde8a2b1093/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:613f19aa6e082cf96e17e3ffd89383343d0d589abda756b7764cf78361fd41dc", size = 203296, upload-time = "2026-03-15T18:51:30.921Z" }, + { url = "https://files.pythonhosted.org/packages/41/12/5d308c1bbe60cabb0c5ef511574a647067e2a1f631bc8634fcafaccd8293/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:2b1a63e8224e401cafe7739f77efd3f9e7f5f2026bda4aead8e59afab537784f", size = 215956, upload-time = "2026-03-15T18:51:32.399Z" }, + { url = "https://files.pythonhosted.org/packages/53/e9/5f85f6c5e20669dbe56b165c67b0260547dea97dba7e187938833d791687/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6cceb5473417d28edd20c6c984ab6fee6c6267d38d906823ebfe20b03d607dc2", size = 208652, upload-time = "2026-03-15T18:51:34.214Z" }, + { url = "https://files.pythonhosted.org/packages/f1/11/897052ea6af56df3eef3ca94edafee410ca699ca0c7b87960ad19932c55e/charset_normalizer-3.4.6-cp313-cp313-win32.whl", hash = "sha256:d7de2637729c67d67cf87614b566626057e95c303bc0a55ffe391f5205e7003d", size = 143940, upload-time = "2026-03-15T18:51:36.15Z" }, + { url = "https://files.pythonhosted.org/packages/a1/5c/724b6b363603e419829f561c854b87ed7c7e31231a7908708ac086cdf3e2/charset_normalizer-3.4.6-cp313-cp313-win_amd64.whl", hash = "sha256:572d7c822caf521f0525ba1bce1a622a0b85cf47ffbdae6c9c19e3b5ac3c4389", size = 154101, upload-time = "2026-03-15T18:51:37.876Z" }, + { url = "https://files.pythonhosted.org/packages/01/a5/7abf15b4c0968e47020f9ca0935fb3274deb87cb288cd187cad92e8cdffd/charset_normalizer-3.4.6-cp313-cp313-win_arm64.whl", hash = "sha256:a4474d924a47185a06411e0064b803c68be044be2d60e50e8bddcc2649957c1f", size = 143109, upload-time = "2026-03-15T18:51:39.565Z" }, + { url = "https://files.pythonhosted.org/packages/25/6f/ffe1e1259f384594063ea1869bfb6be5cdb8bc81020fc36c3636bc8302a1/charset_normalizer-3.4.6-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:9cc6e6d9e571d2f863fa77700701dae73ed5f78881efc8b3f9a4398772ff53e8", size = 294458, upload-time = "2026-03-15T18:51:41.134Z" }, + { url = "https://files.pythonhosted.org/packages/56/60/09bb6c13a8c1016c2ed5c6a6488e4ffef506461aa5161662bd7636936fb1/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef5960d965e67165d75b7c7ffc60a83ec5abfc5c11b764ec13ea54fbef8b4421", size = 199277, upload-time = "2026-03-15T18:51:42.953Z" }, + { url = "https://files.pythonhosted.org/packages/00/50/dcfbb72a5138bbefdc3332e8d81a23494bf67998b4b100703fd15fa52d81/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b3694e3f87f8ac7ce279d4355645b3c878d24d1424581b46282f24b92f5a4ae2", size = 218758, upload-time = "2026-03-15T18:51:44.339Z" }, + { url = "https://files.pythonhosted.org/packages/03/b3/d79a9a191bb75f5aa81f3aaaa387ef29ce7cb7a9e5074ba8ea095cc073c2/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5d11595abf8dd942a77883a39d81433739b287b6aa71620f15164f8096221b30", size = 215299, upload-time = "2026-03-15T18:51:45.871Z" }, + { url = "https://files.pythonhosted.org/packages/76/7e/bc8911719f7084f72fd545f647601ea3532363927f807d296a8c88a62c0d/charset_normalizer-3.4.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7bda6eebafd42133efdca535b04ccb338ab29467b3f7bf79569883676fc628db", size = 206811, upload-time = "2026-03-15T18:51:47.308Z" }, + { url = "https://files.pythonhosted.org/packages/e2/40/c430b969d41dda0c465aa36cc7c2c068afb67177bef50905ac371b28ccc7/charset_normalizer-3.4.6-cp314-cp314-manylinux_2_31_armv7l.whl", hash = "sha256:bbc8c8650c6e51041ad1be191742b8b421d05bbd3410f43fa2a00c8db87678e8", size = 193706, upload-time = "2026-03-15T18:51:48.849Z" }, + { url = "https://files.pythonhosted.org/packages/48/15/e35e0590af254f7df984de1323640ef375df5761f615b6225ba8deb9799a/charset_normalizer-3.4.6-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:22c6f0c2fbc31e76c3b8a86fba1a56eda6166e238c29cdd3d14befdb4a4e4815", size = 202706, upload-time = "2026-03-15T18:51:50.257Z" }, + { url = "https://files.pythonhosted.org/packages/5e/bd/f736f7b9cc5e93a18b794a50346bb16fbfd6b37f99e8f306f7951d27c17c/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7edbed096e4a4798710ed6bc75dcaa2a21b68b6c356553ac4823c3658d53743a", size = 202497, upload-time = "2026-03-15T18:51:52.012Z" }, + { url = "https://files.pythonhosted.org/packages/9d/ba/2cc9e3e7dfdf7760a6ed8da7446d22536f3d0ce114ac63dee2a5a3599e62/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:7f9019c9cb613f084481bd6a100b12e1547cf2efe362d873c2e31e4035a6fa43", size = 193511, upload-time = "2026-03-15T18:51:53.723Z" }, + { url = "https://files.pythonhosted.org/packages/9e/cb/5be49b5f776e5613be07298c80e1b02a2d900f7a7de807230595c85a8b2e/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:58c948d0d086229efc484fe2f30c2d382c86720f55cd9bc33591774348ad44e0", size = 220133, upload-time = "2026-03-15T18:51:55.333Z" }, + { url = "https://files.pythonhosted.org/packages/83/43/99f1b5dad345accb322c80c7821071554f791a95ee50c1c90041c157ae99/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:419a9d91bd238052642a51938af8ac05da5b3343becde08d5cdeab9046df9ee1", size = 203035, upload-time = "2026-03-15T18:51:56.736Z" }, + { url = "https://files.pythonhosted.org/packages/87/9a/62c2cb6a531483b55dddff1a68b3d891a8b498f3ca555fbcf2978e804d9d/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:5273b9f0b5835ff0350c0828faea623c68bfa65b792720c453e22b25cc72930f", size = 216321, upload-time = "2026-03-15T18:51:58.17Z" }, + { url = "https://files.pythonhosted.org/packages/6e/79/94a010ff81e3aec7c293eb82c28f930918e517bc144c9906a060844462eb/charset_normalizer-3.4.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:0e901eb1049fdb80f5bd11ed5ea1e498ec423102f7a9b9e4645d5b8204ff2815", size = 208973, upload-time = "2026-03-15T18:51:59.998Z" }, + { url = "https://files.pythonhosted.org/packages/2a/57/4ecff6d4ec8585342f0c71bc03efaa99cb7468f7c91a57b105bcd561cea8/charset_normalizer-3.4.6-cp314-cp314-win32.whl", hash = "sha256:b4ff1d35e8c5bd078be89349b6f3a845128e685e751b6ea1169cf2160b344c4d", size = 144610, upload-time = "2026-03-15T18:52:02.213Z" }, + { url = "https://files.pythonhosted.org/packages/80/94/8434a02d9d7f168c25767c64671fead8d599744a05d6a6c877144c754246/charset_normalizer-3.4.6-cp314-cp314-win_amd64.whl", hash = "sha256:74119174722c4349af9708993118581686f343adc1c8c9c007d59be90d077f3f", size = 154962, upload-time = "2026-03-15T18:52:03.658Z" }, + { url = "https://files.pythonhosted.org/packages/46/4c/48f2cdbfd923026503dfd67ccea45c94fd8fe988d9056b468579c66ed62b/charset_normalizer-3.4.6-cp314-cp314-win_arm64.whl", hash = "sha256:e5bcc1a1ae744e0bb59641171ae53743760130600da8db48cbb6e4918e186e4e", size = 143595, upload-time = "2026-03-15T18:52:05.123Z" }, + { url = "https://files.pythonhosted.org/packages/31/93/8878be7569f87b14f1d52032946131bcb6ebbd8af3e20446bc04053dc3f1/charset_normalizer-3.4.6-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ad8faf8df23f0378c6d527d8b0b15ea4a2e23c89376877c598c4870d1b2c7866", size = 314828, upload-time = "2026-03-15T18:52:06.831Z" }, + { url = "https://files.pythonhosted.org/packages/06/b6/fae511ca98aac69ecc35cde828b0a3d146325dd03d99655ad38fc2cc3293/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f5ea69428fa1b49573eef0cc44a1d43bebd45ad0c611eb7d7eac760c7ae771bc", size = 208138, upload-time = "2026-03-15T18:52:08.239Z" }, + { url = "https://files.pythonhosted.org/packages/54/57/64caf6e1bf07274a1e0b7c160a55ee9e8c9ec32c46846ce59b9c333f7008/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:06a7e86163334edfc5d20fe104db92fcd666e5a5df0977cb5680a506fe26cc8e", size = 224679, upload-time = "2026-03-15T18:52:10.043Z" }, + { url = "https://files.pythonhosted.org/packages/aa/cb/9ff5a25b9273ef160861b41f6937f86fae18b0792fe0a8e75e06acb08f1d/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e1f6e2f00a6b8edb562826e4632e26d063ac10307e80f7461f7de3ad8ef3f077", size = 223475, upload-time = "2026-03-15T18:52:11.854Z" }, + { url = "https://files.pythonhosted.org/packages/fc/97/440635fc093b8d7347502a377031f9605a1039c958f3cd18dcacffb37743/charset_normalizer-3.4.6-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:95b52c68d64c1878818687a473a10547b3292e82b6f6fe483808fb1468e2f52f", size = 215230, upload-time = "2026-03-15T18:52:13.325Z" }, + { url = "https://files.pythonhosted.org/packages/cd/24/afff630feb571a13f07c8539fbb502d2ab494019492aaffc78ef41f1d1d0/charset_normalizer-3.4.6-cp314-cp314t-manylinux_2_31_armv7l.whl", hash = "sha256:7504e9b7dc05f99a9bbb4525c67a2c155073b44d720470a148b34166a69c054e", size = 199045, upload-time = "2026-03-15T18:52:14.752Z" }, + { url = "https://files.pythonhosted.org/packages/e5/17/d1399ecdaf7e0498c327433e7eefdd862b41236a7e484355b8e0e5ebd64b/charset_normalizer-3.4.6-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:172985e4ff804a7ad08eebec0a1640ece87ba5041d565fff23c8f99c1f389484", size = 211658, upload-time = "2026-03-15T18:52:16.278Z" }, + { url = "https://files.pythonhosted.org/packages/b5/38/16baa0affb957b3d880e5ac2144caf3f9d7de7bc4a91842e447fbb5e8b67/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:4be9f4830ba8741527693848403e2c457c16e499100963ec711b1c6f2049b7c7", size = 210769, upload-time = "2026-03-15T18:52:17.782Z" }, + { url = "https://files.pythonhosted.org/packages/05/34/c531bc6ac4c21da9ddfddb3107be2287188b3ea4b53b70fc58f2a77ac8d8/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_armv7l.whl", hash = "sha256:79090741d842f564b1b2827c0b82d846405b744d31e84f18d7a7b41c20e473ff", size = 201328, upload-time = "2026-03-15T18:52:19.553Z" }, + { url = "https://files.pythonhosted.org/packages/fa/73/a5a1e9ca5f234519c1953608a03fe109c306b97fdfb25f09182babad51a7/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:87725cfb1a4f1f8c2fc9890ae2f42094120f4b44db9360be5d99a4c6b0e03a9e", size = 225302, upload-time = "2026-03-15T18:52:21.043Z" }, + { url = "https://files.pythonhosted.org/packages/ba/f6/cd782923d112d296294dea4bcc7af5a7ae0f86ab79f8fefbda5526b6cfc0/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:fcce033e4021347d80ed9c66dcf1e7b1546319834b74445f561d2e2221de5659", size = 211127, upload-time = "2026-03-15T18:52:22.491Z" }, + { url = "https://files.pythonhosted.org/packages/0e/c5/0b6898950627af7d6103a449b22320372c24c6feda91aa24e201a478d161/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:ca0276464d148c72defa8bb4390cce01b4a0e425f3b50d1435aa6d7a18107602", size = 222840, upload-time = "2026-03-15T18:52:24.113Z" }, + { url = "https://files.pythonhosted.org/packages/7d/25/c4bba773bef442cbdc06111d40daa3de5050a676fa26e85090fc54dd12f0/charset_normalizer-3.4.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:197c1a244a274bb016dd8b79204850144ef77fe81c5b797dc389327adb552407", size = 216890, upload-time = "2026-03-15T18:52:25.541Z" }, + { url = "https://files.pythonhosted.org/packages/35/1a/05dacadb0978da72ee287b0143097db12f2e7e8d3ffc4647da07a383b0b7/charset_normalizer-3.4.6-cp314-cp314t-win32.whl", hash = "sha256:2a24157fa36980478dd1770b585c0f30d19e18f4fb0c47c13aa568f871718579", size = 155379, upload-time = "2026-03-15T18:52:27.05Z" }, + { url = "https://files.pythonhosted.org/packages/5d/7a/d269d834cb3a76291651256f3b9a5945e81d0a49ab9f4a498964e83c0416/charset_normalizer-3.4.6-cp314-cp314t-win_amd64.whl", hash = "sha256:cd5e2801c89992ed8c0a3f0293ae83c159a60d9a5d685005383ef4caca77f2c4", size = 169043, upload-time = "2026-03-15T18:52:28.502Z" }, + { url = "https://files.pythonhosted.org/packages/23/06/28b29fba521a37a8932c6a84192175c34d49f84a6d4773fa63d05f9aff22/charset_normalizer-3.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:47955475ac79cc504ef2704b192364e51d0d473ad452caedd0002605f780101c", size = 148523, upload-time = "2026-03-15T18:52:29.956Z" }, + { url = "https://files.pythonhosted.org/packages/2a/68/687187c7e26cb24ccbd88e5069f5ef00eba804d36dde11d99aad0838ab45/charset_normalizer-3.4.6-py3-none-any.whl", hash = "sha256:947cf925bc916d90adba35a64c82aace04fa39b46b52d4630ece166655905a69", size = 61455, upload-time = "2026-03-15T18:53:23.833Z" }, +] + +[[package]] +name = "click" +version = "8.3.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" }, +] + +[[package]] +name = "colorama" +version = "0.4.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" }, +] + +[[package]] +name = "comm" +version = "0.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload-time = "2025-07-25T14:02:04.452Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" }, +] + +[[package]] +name = "contourpy" +version = "1.3.2" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/12/a3/da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737/contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934", size = 268551, upload-time = "2025-04-15T17:34:46.581Z" }, + { url = "https://files.pythonhosted.org/packages/2f/6c/330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875/contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989", size = 253399, upload-time = "2025-04-15T17:34:51.427Z" }, + { url = "https://files.pythonhosted.org/packages/c1/bd/20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2/contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d", size = 312061, upload-time = "2025-04-15T17:34:55.961Z" }, + { url = "https://files.pythonhosted.org/packages/22/fc/a9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6/contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9", size = 351956, upload-time = "2025-04-15T17:35:00.992Z" }, + { url = "https://files.pythonhosted.org/packages/25/eb/9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e/contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512", size = 320872, upload-time = "2025-04-15T17:35:06.177Z" }, + { url = "https://files.pythonhosted.org/packages/32/5c/1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c/contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631", size = 325027, upload-time = "2025-04-15T17:35:11.244Z" }, + { url = "https://files.pythonhosted.org/packages/83/bf/9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52/contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f", size = 1306641, upload-time = "2025-04-15T17:35:26.701Z" }, + { url = "https://files.pythonhosted.org/packages/d4/cc/74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d/contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2", size = 1374075, upload-time = "2025-04-15T17:35:43.204Z" }, + { url = "https://files.pythonhosted.org/packages/0c/42/17f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8/contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0", size = 177534, upload-time = "2025-04-15T17:35:46.554Z" }, + { url = "https://files.pythonhosted.org/packages/54/ec/5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df/contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a", size = 221188, upload-time = "2025-04-15T17:35:50.064Z" }, + { url = "https://files.pythonhosted.org/packages/b3/b9/ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78/contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445", size = 269636, upload-time = "2025-04-15T17:35:54.473Z" }, + { url = "https://files.pythonhosted.org/packages/e6/75/3469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1/contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773", size = 254636, upload-time = "2025-04-15T17:35:58.283Z" }, + { url = "https://files.pythonhosted.org/packages/8d/2f/95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2/contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1", size = 313053, upload-time = "2025-04-15T17:36:03.235Z" }, + { url = "https://files.pythonhosted.org/packages/c3/a6/8ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9/contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43", size = 352985, upload-time = "2025-04-15T17:36:08.275Z" }, + { url = "https://files.pythonhosted.org/packages/1d/b6/7925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6/contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab", size = 323750, upload-time = "2025-04-15T17:36:13.29Z" }, + { url = "https://files.pythonhosted.org/packages/c2/f3/20c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b/contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7", size = 326246, upload-time = "2025-04-15T17:36:18.329Z" }, + { url = "https://files.pythonhosted.org/packages/8c/e5/9dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5/contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83", size = 1308728, upload-time = "2025-04-15T17:36:33.878Z" }, + { url = "https://files.pythonhosted.org/packages/e2/4a/0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f/contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd", size = 1375762, upload-time = "2025-04-15T17:36:51.295Z" }, + { url = "https://files.pythonhosted.org/packages/09/33/7174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80/contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f", size = 178196, upload-time = "2025-04-15T17:36:55.002Z" }, + { url = "https://files.pythonhosted.org/packages/5e/fe/4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b/contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878", size = 222017, upload-time = "2025-04-15T17:36:58.576Z" }, + { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" }, + { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" }, + { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" }, + { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" }, + { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" }, + { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" }, + { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" }, + { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" }, + { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" }, + { url = "https://files.pythonhosted.org/packages/2e/61/5673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2/contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb", size = 271630, upload-time = "2025-04-15T17:38:19.142Z" }, + { url = "https://files.pythonhosted.org/packages/ff/66/a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39/contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08", size = 255670, upload-time = "2025-04-15T17:38:23.688Z" }, + { url = "https://files.pythonhosted.org/packages/1e/c7/cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8/contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c", size = 306694, upload-time = "2025-04-15T17:38:28.238Z" }, + { url = "https://files.pythonhosted.org/packages/dd/e7/ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0/contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f", size = 345986, upload-time = "2025-04-15T17:38:33.502Z" }, + { url = "https://files.pythonhosted.org/packages/dc/49/ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78/contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85", size = 318060, upload-time = "2025-04-15T17:38:38.672Z" }, + { url = "https://files.pythonhosted.org/packages/c8/65/5245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661/contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841", size = 322747, upload-time = "2025-04-15T17:38:43.712Z" }, + { url = "https://files.pythonhosted.org/packages/72/30/669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9/contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422", size = 1308895, upload-time = "2025-04-15T17:39:00.224Z" }, + { url = "https://files.pythonhosted.org/packages/05/5a/b569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3/contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef", size = 1379098, upload-time = "2025-04-15T17:43:29.649Z" }, + { url = "https://files.pythonhosted.org/packages/19/ba/b227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1/contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f", size = 178535, upload-time = "2025-04-15T17:44:44.532Z" }, + { url = "https://files.pythonhosted.org/packages/12/6e/2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262/contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9", size = 223096, upload-time = "2025-04-15T17:44:48.194Z" }, + { url = "https://files.pythonhosted.org/packages/54/4c/e76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4/contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f", size = 285090, upload-time = "2025-04-15T17:43:34.084Z" }, + { url = "https://files.pythonhosted.org/packages/7b/e2/5aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8/contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739", size = 268643, upload-time = "2025-04-15T17:43:38.626Z" }, + { url = "https://files.pythonhosted.org/packages/a1/37/cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823", size = 310443, upload-time = "2025-04-15T17:43:44.522Z" }, + { url = "https://files.pythonhosted.org/packages/8b/a2/36ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5", size = 349865, upload-time = "2025-04-15T17:43:49.545Z" }, + { url = "https://files.pythonhosted.org/packages/95/b7/2fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532", size = 321162, upload-time = "2025-04-15T17:43:54.203Z" }, + { url = "https://files.pythonhosted.org/packages/f4/10/76d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b", size = 327355, upload-time = "2025-04-15T17:44:01.025Z" }, + { url = "https://files.pythonhosted.org/packages/43/a3/10cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52", size = 1307935, upload-time = "2025-04-15T17:44:17.322Z" }, + { url = "https://files.pythonhosted.org/packages/78/73/69dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd", size = 1372168, upload-time = "2025-04-15T17:44:33.43Z" }, + { url = "https://files.pythonhosted.org/packages/0f/1b/96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21/contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1", size = 189550, upload-time = "2025-04-15T17:44:37.092Z" }, + { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214, upload-time = "2025-04-15T17:44:40.827Z" }, + { url = "https://files.pythonhosted.org/packages/33/05/b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033/contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c", size = 265681, upload-time = "2025-04-15T17:44:59.314Z" }, + { url = "https://files.pythonhosted.org/packages/2b/25/ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03/contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16", size = 315101, upload-time = "2025-04-15T17:45:04.165Z" }, + { url = "https://files.pythonhosted.org/packages/8f/4d/5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030/contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad", size = 220599, upload-time = "2025-04-15T17:45:08.456Z" }, + { url = "https://files.pythonhosted.org/packages/ff/c0/91f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848/contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0", size = 266807, upload-time = "2025-04-15T17:45:15.535Z" }, + { url = "https://files.pythonhosted.org/packages/d4/79/6be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71/contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5", size = 318729, upload-time = "2025-04-15T17:45:20.166Z" }, + { url = "https://files.pythonhosted.org/packages/87/68/7f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1/contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5", size = 221791, upload-time = "2025-04-15T17:45:24.794Z" }, +] + +[[package]] +name = "contourpy" +version = "1.3.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/91/2e/c4390a31919d8a78b90e8ecf87cd4b4c4f05a5b48d05ec17db8e5404c6f4/contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1", size = 288773, upload-time = "2025-07-26T12:01:02.277Z" }, + { url = "https://files.pythonhosted.org/packages/0d/44/c4b0b6095fef4dc9c420e041799591e3b63e9619e3044f7f4f6c21c0ab24/contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381", size = 270149, upload-time = "2025-07-26T12:01:04.072Z" }, + { url = "https://files.pythonhosted.org/packages/30/2e/dd4ced42fefac8470661d7cb7e264808425e6c5d56d175291e93890cce09/contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7", size = 329222, upload-time = "2025-07-26T12:01:05.688Z" }, + { url = "https://files.pythonhosted.org/packages/f2/74/cc6ec2548e3d276c71389ea4802a774b7aa3558223b7bade3f25787fafc2/contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1", size = 377234, upload-time = "2025-07-26T12:01:07.054Z" }, + { url = "https://files.pythonhosted.org/packages/03/b3/64ef723029f917410f75c09da54254c5f9ea90ef89b143ccadb09df14c15/contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a", size = 380555, upload-time = "2025-07-26T12:01:08.801Z" }, + { url = "https://files.pythonhosted.org/packages/5f/4b/6157f24ca425b89fe2eb7e7be642375711ab671135be21e6faa100f7448c/contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db", size = 355238, upload-time = "2025-07-26T12:01:10.319Z" }, + { url = "https://files.pythonhosted.org/packages/98/56/f914f0dd678480708a04cfd2206e7c382533249bc5001eb9f58aa693e200/contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620", size = 1326218, upload-time = "2025-07-26T12:01:12.659Z" }, + { url = "https://files.pythonhosted.org/packages/fb/d7/4a972334a0c971acd5172389671113ae82aa7527073980c38d5868ff1161/contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f", size = 1392867, upload-time = "2025-07-26T12:01:15.533Z" }, + { url = "https://files.pythonhosted.org/packages/75/3e/f2cc6cd56dc8cff46b1a56232eabc6feea52720083ea71ab15523daab796/contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff", size = 183677, upload-time = "2025-07-26T12:01:17.088Z" }, + { url = "https://files.pythonhosted.org/packages/98/4b/9bd370b004b5c9d8045c6c33cf65bae018b27aca550a3f657cdc99acdbd8/contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42", size = 225234, upload-time = "2025-07-26T12:01:18.256Z" }, + { url = "https://files.pythonhosted.org/packages/d9/b6/71771e02c2e004450c12b1120a5f488cad2e4d5b590b1af8bad060360fe4/contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470", size = 193123, upload-time = "2025-07-26T12:01:19.848Z" }, + { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload-time = "2025-07-26T12:01:21.16Z" }, + { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload-time = "2025-07-26T12:01:22.448Z" }, + { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload-time = "2025-07-26T12:01:24.155Z" }, + { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload-time = "2025-07-26T12:01:25.91Z" }, + { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload-time = "2025-07-26T12:01:27.152Z" }, + { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload-time = "2025-07-26T12:01:28.808Z" }, + { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload-time = "2025-07-26T12:01:31.198Z" }, + { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload-time = "2025-07-26T12:01:33.947Z" }, + { url = "https://files.pythonhosted.org/packages/cf/8f/5847f44a7fddf859704217a99a23a4f6417b10e5ab1256a179264561540e/contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69", size = 185018, upload-time = "2025-07-26T12:01:35.64Z" }, + { url = "https://files.pythonhosted.org/packages/19/e8/6026ed58a64563186a9ee3f29f41261fd1828f527dd93d33b60feca63352/contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b", size = 226567, upload-time = "2025-07-26T12:01:36.804Z" }, + { url = "https://files.pythonhosted.org/packages/d1/e2/f05240d2c39a1ed228d8328a78b6f44cd695f7ef47beb3e684cf93604f86/contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc", size = 193655, upload-time = "2025-07-26T12:01:37.999Z" }, + { url = "https://files.pythonhosted.org/packages/68/35/0167aad910bbdb9599272bd96d01a9ec6852f36b9455cf2ca67bd4cc2d23/contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5", size = 293257, upload-time = "2025-07-26T12:01:39.367Z" }, + { url = "https://files.pythonhosted.org/packages/96/e4/7adcd9c8362745b2210728f209bfbcf7d91ba868a2c5f40d8b58f54c509b/contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1", size = 274034, upload-time = "2025-07-26T12:01:40.645Z" }, + { url = "https://files.pythonhosted.org/packages/73/23/90e31ceeed1de63058a02cb04b12f2de4b40e3bef5e082a7c18d9c8ae281/contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286", size = 334672, upload-time = "2025-07-26T12:01:41.942Z" }, + { url = "https://files.pythonhosted.org/packages/ed/93/b43d8acbe67392e659e1d984700e79eb67e2acb2bd7f62012b583a7f1b55/contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5", size = 381234, upload-time = "2025-07-26T12:01:43.499Z" }, + { url = "https://files.pythonhosted.org/packages/46/3b/bec82a3ea06f66711520f75a40c8fc0b113b2a75edb36aa633eb11c4f50f/contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67", size = 385169, upload-time = "2025-07-26T12:01:45.219Z" }, + { url = "https://files.pythonhosted.org/packages/4b/32/e0f13a1c5b0f8572d0ec6ae2f6c677b7991fafd95da523159c19eff0696a/contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9", size = 362859, upload-time = "2025-07-26T12:01:46.519Z" }, + { url = "https://files.pythonhosted.org/packages/33/71/e2a7945b7de4e58af42d708a219f3b2f4cff7386e6b6ab0a0fa0033c49a9/contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659", size = 1332062, upload-time = "2025-07-26T12:01:48.964Z" }, + { url = "https://files.pythonhosted.org/packages/12/fc/4e87ac754220ccc0e807284f88e943d6d43b43843614f0a8afa469801db0/contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7", size = 1403932, upload-time = "2025-07-26T12:01:51.979Z" }, + { url = "https://files.pythonhosted.org/packages/a6/2e/adc197a37443f934594112222ac1aa7dc9a98faf9c3842884df9a9d8751d/contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d", size = 185024, upload-time = "2025-07-26T12:01:53.245Z" }, + { url = "https://files.pythonhosted.org/packages/18/0b/0098c214843213759692cc638fce7de5c289200a830e5035d1791d7a2338/contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263", size = 226578, upload-time = "2025-07-26T12:01:54.422Z" }, + { url = "https://files.pythonhosted.org/packages/8a/9a/2f6024a0c5995243cd63afdeb3651c984f0d2bc727fd98066d40e141ad73/contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9", size = 193524, upload-time = "2025-07-26T12:01:55.73Z" }, + { url = "https://files.pythonhosted.org/packages/c0/b3/f8a1a86bd3298513f500e5b1f5fd92b69896449f6cab6a146a5d52715479/contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d", size = 306730, upload-time = "2025-07-26T12:01:57.051Z" }, + { url = "https://files.pythonhosted.org/packages/3f/11/4780db94ae62fc0c2053909b65dc3246bd7cecfc4f8a20d957ad43aa4ad8/contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216", size = 287897, upload-time = "2025-07-26T12:01:58.663Z" }, + { url = "https://files.pythonhosted.org/packages/ae/15/e59f5f3ffdd6f3d4daa3e47114c53daabcb18574a26c21f03dc9e4e42ff0/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae", size = 326751, upload-time = "2025-07-26T12:02:00.343Z" }, + { url = "https://files.pythonhosted.org/packages/0f/81/03b45cfad088e4770b1dcf72ea78d3802d04200009fb364d18a493857210/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20", size = 375486, upload-time = "2025-07-26T12:02:02.128Z" }, + { url = "https://files.pythonhosted.org/packages/0c/ba/49923366492ffbdd4486e970d421b289a670ae8cf539c1ea9a09822b371a/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99", size = 388106, upload-time = "2025-07-26T12:02:03.615Z" }, + { url = "https://files.pythonhosted.org/packages/9f/52/5b00ea89525f8f143651f9f03a0df371d3cbd2fccd21ca9b768c7a6500c2/contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b", size = 352548, upload-time = "2025-07-26T12:02:05.165Z" }, + { url = "https://files.pythonhosted.org/packages/32/1d/a209ec1a3a3452d490f6b14dd92e72280c99ae3d1e73da74f8277d4ee08f/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a", size = 1322297, upload-time = "2025-07-26T12:02:07.379Z" }, + { url = "https://files.pythonhosted.org/packages/bc/9e/46f0e8ebdd884ca0e8877e46a3f4e633f6c9c8c4f3f6e72be3fe075994aa/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e", size = 1391023, upload-time = "2025-07-26T12:02:10.171Z" }, + { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" }, + { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" }, + { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" }, + { url = "https://files.pythonhosted.org/packages/72/8b/4546f3ab60f78c514ffb7d01a0bd743f90de36f0019d1be84d0a708a580a/contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a", size = 292189, upload-time = "2025-07-26T12:02:16.095Z" }, + { url = "https://files.pythonhosted.org/packages/fd/e1/3542a9cb596cadd76fcef413f19c79216e002623158befe6daa03dbfa88c/contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77", size = 273251, upload-time = "2025-07-26T12:02:17.524Z" }, + { url = "https://files.pythonhosted.org/packages/b1/71/f93e1e9471d189f79d0ce2497007731c1e6bf9ef6d1d61b911430c3db4e5/contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5", size = 335810, upload-time = "2025-07-26T12:02:18.9Z" }, + { url = "https://files.pythonhosted.org/packages/91/f9/e35f4c1c93f9275d4e38681a80506b5510e9327350c51f8d4a5a724d178c/contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4", size = 382871, upload-time = "2025-07-26T12:02:20.418Z" }, + { url = "https://files.pythonhosted.org/packages/b5/71/47b512f936f66a0a900d81c396a7e60d73419868fba959c61efed7a8ab46/contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36", size = 386264, upload-time = "2025-07-26T12:02:21.916Z" }, + { url = "https://files.pythonhosted.org/packages/04/5f/9ff93450ba96b09c7c2b3f81c94de31c89f92292f1380261bd7195bea4ea/contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3", size = 363819, upload-time = "2025-07-26T12:02:23.759Z" }, + { url = "https://files.pythonhosted.org/packages/3e/a6/0b185d4cc480ee494945cde102cb0149ae830b5fa17bf855b95f2e70ad13/contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b", size = 1333650, upload-time = "2025-07-26T12:02:26.181Z" }, + { url = "https://files.pythonhosted.org/packages/43/d7/afdc95580ca56f30fbcd3060250f66cedbde69b4547028863abd8aa3b47e/contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36", size = 1404833, upload-time = "2025-07-26T12:02:28.782Z" }, + { url = "https://files.pythonhosted.org/packages/e2/e2/366af18a6d386f41132a48f033cbd2102e9b0cf6345d35ff0826cd984566/contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d", size = 189692, upload-time = "2025-07-26T12:02:30.128Z" }, + { url = "https://files.pythonhosted.org/packages/7d/c2/57f54b03d0f22d4044b8afb9ca0e184f8b1afd57b4f735c2fa70883dc601/contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd", size = 232424, upload-time = "2025-07-26T12:02:31.395Z" }, + { url = "https://files.pythonhosted.org/packages/18/79/a9416650df9b525737ab521aa181ccc42d56016d2123ddcb7b58e926a42c/contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339", size = 198300, upload-time = "2025-07-26T12:02:32.956Z" }, + { url = "https://files.pythonhosted.org/packages/1f/42/38c159a7d0f2b7b9c04c64ab317042bb6952b713ba875c1681529a2932fe/contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772", size = 306769, upload-time = "2025-07-26T12:02:34.2Z" }, + { url = "https://files.pythonhosted.org/packages/c3/6c/26a8205f24bca10974e77460de68d3d7c63e282e23782f1239f226fcae6f/contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77", size = 287892, upload-time = "2025-07-26T12:02:35.807Z" }, + { url = "https://files.pythonhosted.org/packages/66/06/8a475c8ab718ebfd7925661747dbb3c3ee9c82ac834ccb3570be49d129f4/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13", size = 326748, upload-time = "2025-07-26T12:02:37.193Z" }, + { url = "https://files.pythonhosted.org/packages/b4/a3/c5ca9f010a44c223f098fccd8b158bb1cb287378a31ac141f04730dc49be/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe", size = 375554, upload-time = "2025-07-26T12:02:38.894Z" }, + { url = "https://files.pythonhosted.org/packages/80/5b/68bd33ae63fac658a4145088c1e894405e07584a316738710b636c6d0333/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f", size = 388118, upload-time = "2025-07-26T12:02:40.642Z" }, + { url = "https://files.pythonhosted.org/packages/40/52/4c285a6435940ae25d7410a6c36bda5145839bc3f0beb20c707cda18b9d2/contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0", size = 352555, upload-time = "2025-07-26T12:02:42.25Z" }, + { url = "https://files.pythonhosted.org/packages/24/ee/3e81e1dd174f5c7fefe50e85d0892de05ca4e26ef1c9a59c2a57e43b865a/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4", size = 1322295, upload-time = "2025-07-26T12:02:44.668Z" }, + { url = "https://files.pythonhosted.org/packages/3c/b2/6d913d4d04e14379de429057cd169e5e00f6c2af3bb13e1710bcbdb5da12/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f", size = 1391027, upload-time = "2025-07-26T12:02:47.09Z" }, + { url = "https://files.pythonhosted.org/packages/93/8a/68a4ec5c55a2971213d29a9374913f7e9f18581945a7a31d1a39b5d2dfe5/contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae", size = 202428, upload-time = "2025-07-26T12:02:48.691Z" }, + { url = "https://files.pythonhosted.org/packages/fa/96/fd9f641ffedc4fa3ace923af73b9d07e869496c9cc7a459103e6e978992f/contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc", size = 250331, upload-time = "2025-07-26T12:02:50.137Z" }, + { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" }, + { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" }, + { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" }, + { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" }, + { url = "https://files.pythonhosted.org/packages/3c/37/21972a15834d90bfbfb009b9d004779bd5a07a0ec0234e5ba8f64d5736f4/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989", size = 329207, upload-time = "2025-07-26T12:02:57.468Z" }, + { url = "https://files.pythonhosted.org/packages/0c/58/bd257695f39d05594ca4ad60df5bcb7e32247f9951fd09a9b8edb82d1daa/contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77", size = 225315, upload-time = "2025-07-26T12:02:58.801Z" }, +] + +[[package]] +name = "cuda-bindings" +version = "12.9.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cuda-pathfinder", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/7a/d8/b546104b8da3f562c1ff8ab36d130c8fe1dd6a045ced80b4f6ad74f7d4e1/cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d3c842c2a4303b2a580fe955018e31aea30278be19795ae05226235268032e5", size = 12148218, upload-time = "2025-10-21T14:51:28.855Z" }, + { url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" }, + { url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019, upload-time = "2025-10-21T14:51:43.167Z" }, + { url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628, upload-time = "2025-10-21T14:51:49.905Z" }, + { url = "https://files.pythonhosted.org/packages/a3/84/1e6be415e37478070aeeee5884c2022713c1ecc735e6d82d744de0252eee/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb", size = 11925991, upload-time = "2025-10-21T14:51:56.535Z" }, + { url = "https://files.pythonhosted.org/packages/d1/af/6dfd8f2ed90b1d4719bc053ff8940e494640fe4212dc3dd72f383e4992da/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686", size = 11922703, upload-time = "2025-10-21T14:52:03.585Z" }, + { url = "https://files.pythonhosted.org/packages/6c/19/90ac264acc00f6df8a49378eedec9fd2db3061bf9263bf9f39fd3d8377c3/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee", size = 11924658, upload-time = "2025-10-21T14:52:10.411Z" }, +] + +[[package]] +name = "cuda-pathfinder" +version = "1.4.3" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/59/911a1a597264f1fb7ac176995a0f0b6062e37f8c1b6e0f23071a76838507/cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c", size = 47951, upload-time = "2026-03-16T21:31:25.526Z" }, +] + +[[package]] +name = "cycler" +version = "0.12.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" }, +] + +[[package]] +name = "debugpy" +version = "1.8.20" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e0/b7/cd8080344452e4874aae67c40d8940e2b4d47b01601a8fd9f44786c757c7/debugpy-1.8.20.tar.gz", hash = "sha256:55bc8701714969f1ab89a6d5f2f3d40c36f91b2cbe2f65d98bf8196f6a6a2c33", size = 1645207, upload-time = "2026-01-29T23:03:28.199Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/71/be/8bd693a0b9d53d48c8978fa5d889e06f3b5b03e45fd1ea1e78267b4887cb/debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64", size = 2099192, upload-time = "2026-01-29T23:03:29.707Z" }, + { url = "https://files.pythonhosted.org/packages/77/1b/85326d07432086a06361d493d2743edd0c4fc2ef62162be7f8618441ac37/debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642", size = 3088568, upload-time = "2026-01-29T23:03:31.467Z" }, + { url = "https://files.pythonhosted.org/packages/e8/60/3e08462ee3eccd10998853eb35947c416e446bfe2bc37dbb886b9044586c/debugpy-1.8.20-cp310-cp310-win32.whl", hash = "sha256:c29dd9d656c0fbd77906a6e6a82ae4881514aa3294b94c903ff99303e789b4a2", size = 5284399, upload-time = "2026-01-29T23:03:33.678Z" }, + { url = "https://files.pythonhosted.org/packages/72/43/09d49106e770fe558ced5e80df2e3c2ebee10e576eda155dcc5670473663/debugpy-1.8.20-cp310-cp310-win_amd64.whl", hash = "sha256:3ca85463f63b5dd0aa7aaa933d97cbc47c174896dcae8431695872969f981893", size = 5316388, upload-time = "2026-01-29T23:03:35.095Z" }, + { url = "https://files.pythonhosted.org/packages/51/56/c3baf5cbe4dd77427fd9aef99fcdade259ad128feeb8a786c246adb838e5/debugpy-1.8.20-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b", size = 2208318, upload-time = "2026-01-29T23:03:36.481Z" }, + { url = "https://files.pythonhosted.org/packages/9a/7d/4fa79a57a8e69fe0d9763e98d1110320f9ecd7f1f362572e3aafd7417c9d/debugpy-1.8.20-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:7de0b7dfeedc504421032afba845ae2a7bcc32ddfb07dae2c3ca5442f821c344", size = 3171493, upload-time = "2026-01-29T23:03:37.775Z" }, + { url = "https://files.pythonhosted.org/packages/7d/f2/1e8f8affe51e12a26f3a8a8a4277d6e60aa89d0a66512f63b1e799d424a4/debugpy-1.8.20-cp311-cp311-win32.whl", hash = "sha256:773e839380cf459caf73cc533ea45ec2737a5cc184cf1b3b796cd4fd98504fec", size = 5209240, upload-time = "2026-01-29T23:03:39.109Z" }, + { url = "https://files.pythonhosted.org/packages/d5/92/1cb532e88560cbee973396254b21bece8c5d7c2ece958a67afa08c9f10dc/debugpy-1.8.20-cp311-cp311-win_amd64.whl", hash = "sha256:1f7650546e0eded1902d0f6af28f787fa1f1dbdbc97ddabaf1cd963a405930cb", size = 5233481, upload-time = "2026-01-29T23:03:40.659Z" }, + { url = "https://files.pythonhosted.org/packages/14/57/7f34f4736bfb6e00f2e4c96351b07805d83c9a7b33d28580ae01374430f7/debugpy-1.8.20-cp312-cp312-macosx_15_0_universal2.whl", hash = "sha256:4ae3135e2089905a916909ef31922b2d733d756f66d87345b3e5e52b7a55f13d", size = 2550686, upload-time = "2026-01-29T23:03:42.023Z" }, + { url = "https://files.pythonhosted.org/packages/ab/78/b193a3975ca34458f6f0e24aaf5c3e3da72f5401f6054c0dfd004b41726f/debugpy-1.8.20-cp312-cp312-manylinux_2_34_x86_64.whl", hash = "sha256:88f47850a4284b88bd2bfee1f26132147d5d504e4e86c22485dfa44b97e19b4b", size = 4310588, upload-time = "2026-01-29T23:03:43.314Z" }, + { url = "https://files.pythonhosted.org/packages/c1/55/f14deb95eaf4f30f07ef4b90a8590fc05d9e04df85ee379712f6fb6736d7/debugpy-1.8.20-cp312-cp312-win32.whl", hash = "sha256:4057ac68f892064e5f98209ab582abfee3b543fb55d2e87610ddc133a954d390", size = 5331372, upload-time = "2026-01-29T23:03:45.526Z" }, + { url = "https://files.pythonhosted.org/packages/a1/39/2bef246368bd42f9bd7cba99844542b74b84dacbdbea0833e610f384fee8/debugpy-1.8.20-cp312-cp312-win_amd64.whl", hash = "sha256:a1a8f851e7cf171330679ef6997e9c579ef6dd33c9098458bd9986a0f4ca52e3", size = 5372835, upload-time = "2026-01-29T23:03:47.245Z" }, + { url = "https://files.pythonhosted.org/packages/15/e2/fc500524cc6f104a9d049abc85a0a8b3f0d14c0a39b9c140511c61e5b40b/debugpy-1.8.20-cp313-cp313-macosx_15_0_universal2.whl", hash = "sha256:5dff4bb27027821fdfcc9e8f87309a28988231165147c31730128b1c983e282a", size = 2539560, upload-time = "2026-01-29T23:03:48.738Z" }, + { url = "https://files.pythonhosted.org/packages/90/83/fb33dcea789ed6018f8da20c5a9bc9d82adc65c0c990faed43f7c955da46/debugpy-1.8.20-cp313-cp313-manylinux_2_34_x86_64.whl", hash = "sha256:84562982dd7cf5ebebfdea667ca20a064e096099997b175fe204e86817f64eaf", size = 4293272, upload-time = "2026-01-29T23:03:50.169Z" }, + { url = "https://files.pythonhosted.org/packages/a6/25/b1e4a01bfb824d79a6af24b99ef291e24189080c93576dfd9b1a2815cd0f/debugpy-1.8.20-cp313-cp313-win32.whl", hash = "sha256:da11dea6447b2cadbf8ce2bec59ecea87cc18d2c574980f643f2d2dfe4862393", size = 5331208, upload-time = "2026-01-29T23:03:51.547Z" }, + { url = "https://files.pythonhosted.org/packages/13/f7/a0b368ce54ffff9e9028c098bd2d28cfc5b54f9f6c186929083d4c60ba58/debugpy-1.8.20-cp313-cp313-win_amd64.whl", hash = "sha256:eb506e45943cab2efb7c6eafdd65b842f3ae779f020c82221f55aca9de135ed7", size = 5372930, upload-time = "2026-01-29T23:03:53.585Z" }, + { url = "https://files.pythonhosted.org/packages/33/2e/f6cb9a8a13f5058f0a20fe09711a7b726232cd5a78c6a7c05b2ec726cff9/debugpy-1.8.20-cp314-cp314-macosx_15_0_universal2.whl", hash = "sha256:9c74df62fc064cd5e5eaca1353a3ef5a5d50da5eb8058fcef63106f7bebe6173", size = 2538066, upload-time = "2026-01-29T23:03:54.999Z" }, + { url = "https://files.pythonhosted.org/packages/c5/56/6ddca50b53624e1ca3ce1d1e49ff22db46c47ea5fb4c0cc5c9b90a616364/debugpy-1.8.20-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:077a7447589ee9bc1ff0cdf443566d0ecf540ac8aa7333b775ebcb8ce9f4ecad", size = 4269425, upload-time = "2026-01-29T23:03:56.518Z" }, + { url = "https://files.pythonhosted.org/packages/c5/d9/d64199c14a0d4c476df46c82470a3ce45c8d183a6796cfb5e66533b3663c/debugpy-1.8.20-cp314-cp314-win32.whl", hash = "sha256:352036a99dd35053b37b7803f748efc456076f929c6a895556932eaf2d23b07f", size = 5331407, upload-time = "2026-01-29T23:03:58.481Z" }, + { url = "https://files.pythonhosted.org/packages/e0/d9/1f07395b54413432624d61524dfd98c1a7c7827d2abfdb8829ac92638205/debugpy-1.8.20-cp314-cp314-win_amd64.whl", hash = "sha256:a98eec61135465b062846112e5ecf2eebb855305acc1dfbae43b72903b8ab5be", size = 5372521, upload-time = "2026-01-29T23:03:59.864Z" }, + { url = "https://files.pythonhosted.org/packages/e0/c3/7f67dea8ccf8fdcb9c99033bbe3e90b9e7395415843accb81428c441be2d/debugpy-1.8.20-py2.py3-none-any.whl", hash = "sha256:5be9bed9ae3be00665a06acaa48f8329d2b9632f15fd09f6a9a8c8d9907e54d7", size = 5337658, upload-time = "2026-01-29T23:04:17.404Z" }, +] + +[[package]] +name = "decorator" +version = "5.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/43/fa/6d96a0978d19e17b68d634497769987b16c8f4cd0a7a05048bec693caa6b/decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360", size = 56711, upload-time = "2025-02-24T04:41:34.073Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" }, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" }, +] + +[[package]] +name = "dill" +version = "0.4.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/81/e1/56027a71e31b02ddc53c7d65b01e68edf64dea2932122fe7746a516f75d5/dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa", size = 187315, upload-time = "2026-01-19T02:36:56.85Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/77/dc8c558f7593132cf8fefec57c4f60c83b16941c574ac5f619abb3ae7933/dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d", size = 120019, upload-time = "2026-01-19T02:36:55.663Z" }, +] + +[[package]] +name = "docopt" +version = "0.6.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz", hash = "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491", size = 25901, upload-time = "2014-06-16T11:18:57.406Z" } + +[[package]] +name = "doit" +version = "0.37.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/35/f6/3a817d438799bda4d4e5fd136175cf7c328c074fadc1422dec3b374907e7/doit-0.37.0.tar.gz", hash = "sha256:d3c72e0e46a8fa1ddabea8f830762402dee090caf33c30c2295ac7010db8f09c", size = 1450967, upload-time = "2026-02-09T07:02:15.578Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9c/38/3d6dcbf8379cb86d71a2325210ca3469a33767d8254b74d8c343db26ce87/doit-0.37.0-py3-none-any.whl", hash = "sha256:a9f181566aa90faac515e276f85e6526019554ed7e13c12cf9dc094ffecf3e1b", size = 85780, upload-time = "2026-02-09T07:02:10.155Z" }, +] + +[[package]] +name = "exceptiongroup" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" }, +] + +[[package]] +name = "executing" +version = "2.2.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload-time = "2025-09-01T09:48:10.866Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" }, +] + +[[package]] +name = "fastjsonschema" +version = "2.21.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/b5/23b216d9d985a956623b6bd12d4086b60f0059b27799f23016af04a74ea1/fastjsonschema-2.21.2.tar.gz", hash = "sha256:b1eb43748041c880796cd077f1a07c3d94e93ae84bba5ed36800a33554ae05de", size = 374130, upload-time = "2025-08-14T18:49:36.666Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cb/a8/20d0723294217e47de6d9e2e40fd4a9d2f7c4b6ef974babd482a59743694/fastjsonschema-2.21.2-py3-none-any.whl", hash = "sha256:1c797122d0a86c5cace2e54bf4e819c36223b552017172f32c5c024a6b77e463", size = 24024, upload-time = "2025-08-14T18:49:34.776Z" }, +] + +[[package]] +name = "filelock" +version = "3.25.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/94/b8/00651a0f559862f3bb7d6f7477b192afe3f583cc5e26403b44e59a55ab34/filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694", size = 40480, upload-time = "2026-03-11T20:45:38.487Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a4/a5/842ae8f0c08b61d6484b52f99a03510a3a72d23141942d216ebe81fefbce/filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70", size = 26759, upload-time = "2026-03-11T20:45:37.437Z" }, +] + +[[package]] +name = "fonttools" +version = "4.62.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/9a/08/7012b00a9a5874311b639c3920270c36ee0c445b69d9989a85e5c92ebcb0/fonttools-4.62.1.tar.gz", hash = "sha256:e54c75fd6041f1122476776880f7c3c3295ffa31962dc6ebe2543c00dca58b5d", size = 3580737, upload-time = "2026-03-13T13:54:25.52Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5a/ff/532ed43808b469c807e8cb6b21358da3fe6fd51486b3a8c93db0bb5d957f/fonttools-4.62.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ad5cca75776cd453b1b035b530e943334957ae152a36a88a320e779d61fc980c", size = 2873740, upload-time = "2026-03-13T13:52:11.822Z" }, + { url = "https://files.pythonhosted.org/packages/85/e4/2318d2b430562da7227010fb2bb029d2fa54d7b46443ae8942bab224e2a0/fonttools-4.62.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0b3ae47e8636156a9accff64c02c0924cbebad62854c4a6dbdc110cd5b4b341a", size = 2417649, upload-time = "2026-03-13T13:52:14.605Z" }, + { url = "https://files.pythonhosted.org/packages/4c/28/40f15523b5188598018e7956899fed94eb7debec89e2dd70cb4a8df90492/fonttools-4.62.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c9b9e288b4da2f64fd6180644221749de651703e8d0c16bd4b719533a3a7d6e3", size = 4935213, upload-time = "2026-03-13T13:52:17.399Z" }, + { url = "https://files.pythonhosted.org/packages/42/09/7dbe3d7023f57d9b580cfa832109d521988112fd59dddfda3fddda8218f9/fonttools-4.62.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7bca7a1c1faf235ffe25d4f2e555246b4750220b38de8261d94ebc5ce8a23c23", size = 4892374, upload-time = "2026-03-13T13:52:20.175Z" }, + { url = "https://files.pythonhosted.org/packages/d1/2d/84509a2e32cb925371560ef5431365d8da2183c11d98e5b4b8b4e42426a5/fonttools-4.62.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b4e0fcf265ad26e487c56cb12a42dffe7162de708762db951e1b3f755319507d", size = 4911856, upload-time = "2026-03-13T13:52:22.777Z" }, + { url = "https://files.pythonhosted.org/packages/a5/80/df28131379eed93d9e6e6fccd3bf6e3d077bebbfe98cc83f21bbcd83ed02/fonttools-4.62.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2d850f66830a27b0d498ee05adb13a3781637b1826982cd7e2b3789ef0cc71ae", size = 5031712, upload-time = "2026-03-13T13:52:25.14Z" }, + { url = "https://files.pythonhosted.org/packages/3d/03/3c8f09aad64230cd6d921ae7a19f9603c36f70930b00459f112706f6769a/fonttools-4.62.1-cp310-cp310-win32.whl", hash = "sha256:486f32c8047ccd05652aba17e4a8819a3a9d78570eb8a0e3b4503142947880ed", size = 1507878, upload-time = "2026-03-13T13:52:28.149Z" }, + { url = "https://files.pythonhosted.org/packages/dd/ec/f53f626f8f3e89f4cadd8fc08f3452c8fd182c951ad5caa35efac22b29ab/fonttools-4.62.1-cp310-cp310-win_amd64.whl", hash = "sha256:5a648bde915fba9da05ae98856987ca91ba832949a9e2888b48c47ef8b96c5a9", size = 1556766, upload-time = "2026-03-13T13:52:30.814Z" }, + { url = "https://files.pythonhosted.org/packages/88/39/23ff32561ec8d45a4d48578b4d241369d9270dc50926c017570e60893701/fonttools-4.62.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:40975849bac44fb0b9253d77420c6d8b523ac4dcdcefeff6e4d706838a5b80f7", size = 2871039, upload-time = "2026-03-13T13:52:33.127Z" }, + { url = "https://files.pythonhosted.org/packages/24/7f/66d3f8a9338a9b67fe6e1739f47e1cd5cee78bd3bc1206ef9b0b982289a5/fonttools-4.62.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9dde91633f77fa576879a0c76b1d89de373cae751a98ddf0109d54e173b40f14", size = 2416346, upload-time = "2026-03-13T13:52:35.676Z" }, + { url = "https://files.pythonhosted.org/packages/aa/53/5276ceba7bff95da7793a07c5284e1da901cf00341ce5e2f3273056c0cca/fonttools-4.62.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6acb4109f8bee00fec985c8c7afb02299e35e9c94b57287f3ea542f28bd0b0a7", size = 5100897, upload-time = "2026-03-13T13:52:38.102Z" }, + { url = "https://files.pythonhosted.org/packages/cc/a1/40a5c4d8e28b0851d53a8eeeb46fbd73c325a2a9a165f290a5ed90e6c597/fonttools-4.62.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1c5c25671ce8805e0d080e2ffdeca7f1e86778c5cbfbeae86d7f866d8830517b", size = 5071078, upload-time = "2026-03-13T13:52:41.305Z" }, + { url = "https://files.pythonhosted.org/packages/e3/be/d378fca4c65ea1956fee6d90ace6e861776809cbbc5af22388a090c3c092/fonttools-4.62.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a5d8825e1140f04e6c99bb7d37a9e31c172f3bc208afbe02175339e699c710e1", size = 5076908, upload-time = "2026-03-13T13:52:44.122Z" }, + { url = "https://files.pythonhosted.org/packages/f8/d9/ae6a1d0693a4185a84605679c8a1f719a55df87b9c6e8e817bfdd9ef5936/fonttools-4.62.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:268abb1cb221e66c014acc234e872b7870d8b5d4657a83a8f4205094c32d2416", size = 5202275, upload-time = "2026-03-13T13:52:46.591Z" }, + { url = "https://files.pythonhosted.org/packages/54/6c/af95d9c4efb15cabff22642b608342f2bd67137eea6107202d91b5b03184/fonttools-4.62.1-cp311-cp311-win32.whl", hash = "sha256:942b03094d7edbb99bdf1ae7e9090898cad7bf9030b3d21f33d7072dbcb51a53", size = 2293075, upload-time = "2026-03-13T13:52:48.711Z" }, + { url = "https://files.pythonhosted.org/packages/d3/97/bf54c5b3f2be34e1f143e6db838dfdc54f2ffa3e68c738934c82f3b2a08d/fonttools-4.62.1-cp311-cp311-win_amd64.whl", hash = "sha256:e8514f4924375f77084e81467e63238b095abda5107620f49421c368a6017ed2", size = 2344593, upload-time = "2026-03-13T13:52:50.725Z" }, + { url = "https://files.pythonhosted.org/packages/47/d4/dbacced3953544b9a93088cc10ef2b596d348c983d5c67a404fa41ec51ba/fonttools-4.62.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:90365821debbd7db678809c7491ca4acd1e0779b9624cdc6ddaf1f31992bf974", size = 2870219, upload-time = "2026-03-13T13:52:53.664Z" }, + { url = "https://files.pythonhosted.org/packages/66/9e/a769c8e99b81e5a87ab7e5e7236684de4e96246aae17274e5347d11ebd78/fonttools-4.62.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:12859ff0b47dd20f110804c3e0d0970f7b832f561630cd879969011541a464a9", size = 2414891, upload-time = "2026-03-13T13:52:56.493Z" }, + { url = "https://files.pythonhosted.org/packages/69/64/f19a9e3911968c37e1e620e14dfc5778299e1474f72f4e57c5ec771d9489/fonttools-4.62.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c125ffa00c3d9003cdaaf7f2c79e6e535628093e14b5de1dccb08859b680936", size = 5033197, upload-time = "2026-03-13T13:52:59.179Z" }, + { url = "https://files.pythonhosted.org/packages/9b/8a/99c8b3c3888c5c474c08dbfd7c8899786de9604b727fcefb055b42c84bba/fonttools-4.62.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:149f7d84afca659d1a97e39a4778794a2f83bf344c5ee5134e09995086cc2392", size = 4988768, upload-time = "2026-03-13T13:53:02.761Z" }, + { url = "https://files.pythonhosted.org/packages/d1/c6/0f904540d3e6ab463c1243a0d803504826a11604c72dd58c2949796a1762/fonttools-4.62.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0aa72c43a601cfa9273bb1ae0518f1acadc01ee181a6fc60cd758d7fdadffc04", size = 4971512, upload-time = "2026-03-13T13:53:05.678Z" }, + { url = "https://files.pythonhosted.org/packages/29/0b/5cbef6588dc9bd6b5c9ad6a4d5a8ca384d0cea089da31711bbeb4f9654a6/fonttools-4.62.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:19177c8d96c7c36359266e571c5173bcee9157b59cfc8cb0153c5673dc5a3a7d", size = 5122723, upload-time = "2026-03-13T13:53:08.662Z" }, + { url = "https://files.pythonhosted.org/packages/4a/47/b3a5342d381595ef439adec67848bed561ab7fdb1019fa522e82101b7d9c/fonttools-4.62.1-cp312-cp312-win32.whl", hash = "sha256:a24decd24d60744ee8b4679d38e88b8303d86772053afc29b19d23bb8207803c", size = 2281278, upload-time = "2026-03-13T13:53:10.998Z" }, + { url = "https://files.pythonhosted.org/packages/28/b1/0c2ab56a16f409c6c8a68816e6af707827ad5d629634691ff60a52879792/fonttools-4.62.1-cp312-cp312-win_amd64.whl", hash = "sha256:9e7863e10b3de72376280b515d35b14f5eeed639d1aa7824f4cf06779ec65e42", size = 2331414, upload-time = "2026-03-13T13:53:13.992Z" }, + { url = "https://files.pythonhosted.org/packages/3b/56/6f389de21c49555553d6a5aeed5ac9767631497ac836c4f076273d15bd72/fonttools-4.62.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:c22b1014017111c401469e3acc5433e6acf6ebcc6aa9efb538a533c800971c79", size = 2865155, upload-time = "2026-03-13T13:53:16.132Z" }, + { url = "https://files.pythonhosted.org/packages/03/c5/0e3966edd5ec668d41dfe418787726752bc07e2f5fd8c8f208615e61fa89/fonttools-4.62.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:68959f5fc58ed4599b44aad161c2837477d7f35f5f79402d97439974faebfebe", size = 2412802, upload-time = "2026-03-13T13:53:18.878Z" }, + { url = "https://files.pythonhosted.org/packages/52/94/e6ac4b44026de7786fe46e3bfa0c87e51d5d70a841054065d49cd62bb909/fonttools-4.62.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef46db46c9447103b8f3ff91e8ba009d5fe181b1920a83757a5762551e32bb68", size = 5013926, upload-time = "2026-03-13T13:53:21.379Z" }, + { url = "https://files.pythonhosted.org/packages/e2/98/8b1e801939839d405f1f122e7d175cebe9aeb4e114f95bfc45e3152af9a7/fonttools-4.62.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6706d1cb1d5e6251a97ad3c1b9347505c5615c112e66047abbef0f8545fa30d1", size = 4964575, upload-time = "2026-03-13T13:53:23.857Z" }, + { url = "https://files.pythonhosted.org/packages/46/76/7d051671e938b1881670528fec69cc4044315edd71a229c7fd712eaa5119/fonttools-4.62.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2e7abd2b1e11736f58c1de27819e1955a53267c21732e78243fa2fa2e5c1e069", size = 4953693, upload-time = "2026-03-13T13:53:26.569Z" }, + { url = "https://files.pythonhosted.org/packages/1f/ae/b41f8628ec0be3c1b934fc12b84f4576a5c646119db4d3bdd76a217c90b5/fonttools-4.62.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:403d28ce06ebfc547fbcb0cb8b7f7cc2f7a2d3e1a67ba9a34b14632df9e080f9", size = 5094920, upload-time = "2026-03-13T13:53:29.329Z" }, + { url = "https://files.pythonhosted.org/packages/f2/f6/53a1e9469331a23dcc400970a27a4caa3d9f6edbf5baab0260285238b884/fonttools-4.62.1-cp313-cp313-win32.whl", hash = "sha256:93c316e0f5301b2adbe6a5f658634307c096fd5aae60a5b3412e4f3e1728ab24", size = 2279928, upload-time = "2026-03-13T13:53:32.352Z" }, + { url = "https://files.pythonhosted.org/packages/38/60/35186529de1db3c01f5ad625bde07c1f576305eab6d86bbda4c58445f721/fonttools-4.62.1-cp313-cp313-win_amd64.whl", hash = "sha256:7aa21ff53e28a9c2157acbc44e5b401149d3c9178107130e82d74ceb500e5056", size = 2330514, upload-time = "2026-03-13T13:53:34.991Z" }, + { url = "https://files.pythonhosted.org/packages/36/f0/2888cdac391807d68d90dcb16ef858ddc1b5309bfc6966195a459dd326e2/fonttools-4.62.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fa1d16210b6b10a826d71bed68dd9ec24a9e218d5a5e2797f37c573e7ec215ca", size = 2864442, upload-time = "2026-03-13T13:53:37.509Z" }, + { url = "https://files.pythonhosted.org/packages/4b/b2/e521803081f8dc35990816b82da6360fa668a21b44da4b53fc9e77efcd62/fonttools-4.62.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:aa69d10ed420d8121118e628ad47d86e4caa79ba37f968597b958f6cceab7eca", size = 2410901, upload-time = "2026-03-13T13:53:40.55Z" }, + { url = "https://files.pythonhosted.org/packages/00/a4/8c3511ff06e53110039358dbbdc1a65d72157a054638387aa2ada300a8b8/fonttools-4.62.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bd13b7999d59c5eb1c2b442eb2d0c427cb517a0b7a1f5798fc5c9e003f5ff782", size = 4999608, upload-time = "2026-03-13T13:53:42.798Z" }, + { url = "https://files.pythonhosted.org/packages/28/63/cd0c3b26afe60995a5295f37c246a93d454023726c3261cfbb3559969bb9/fonttools-4.62.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8d337fdd49a79b0d51c4da87bc38169d21c3abbf0c1aa9367eff5c6656fb6dae", size = 4912726, upload-time = "2026-03-13T13:53:45.405Z" }, + { url = "https://files.pythonhosted.org/packages/70/b9/ac677cb07c24c685cf34f64e140617d58789d67a3dd524164b63648c6114/fonttools-4.62.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d241cdc4a67b5431c6d7f115fdf63335222414995e3a1df1a41e1182acd4bcc7", size = 4951422, upload-time = "2026-03-13T13:53:48.326Z" }, + { url = "https://files.pythonhosted.org/packages/e6/10/11c08419a14b85b7ca9a9faca321accccc8842dd9e0b1c8a72908de05945/fonttools-4.62.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c05557a78f8fa514da0f869556eeda40887a8abc77c76ee3f74cf241778afd5a", size = 5060979, upload-time = "2026-03-13T13:53:51.366Z" }, + { url = "https://files.pythonhosted.org/packages/4e/3c/12eea4a4cf054e7ab058ed5ceada43b46809fce2bf319017c4d63ae55bb4/fonttools-4.62.1-cp314-cp314-win32.whl", hash = "sha256:49a445d2f544ce4a69338694cad575ba97b9a75fff02720da0882d1a73f12800", size = 2283733, upload-time = "2026-03-13T13:53:53.606Z" }, + { url = "https://files.pythonhosted.org/packages/6b/67/74b070029043186b5dd13462c958cb7c7f811be0d2e634309d9a1ffb1505/fonttools-4.62.1-cp314-cp314-win_amd64.whl", hash = "sha256:1eecc128c86c552fb963fe846ca4e011b1be053728f798185a1687502f6d398e", size = 2335663, upload-time = "2026-03-13T13:53:56.23Z" }, + { url = "https://files.pythonhosted.org/packages/42/c5/4d2ed3ca6e33617fc5624467da353337f06e7f637707478903c785bd8e20/fonttools-4.62.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:1596aeaddf7f78e21e68293c011316a25267b3effdaccaf4d59bc9159d681b82", size = 2947288, upload-time = "2026-03-13T13:53:59.397Z" }, + { url = "https://files.pythonhosted.org/packages/1f/e9/7ab11ddfda48ed0f89b13380e5595ba572619c27077be0b2c447a63ff351/fonttools-4.62.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:8f8fca95d3bb3208f59626a4b0ea6e526ee51f5a8ad5d91821c165903e8d9260", size = 2449023, upload-time = "2026-03-13T13:54:01.642Z" }, + { url = "https://files.pythonhosted.org/packages/b2/10/a800fa090b5e8819942e54e19b55fc7c21fe14a08757c3aa3ca8db358939/fonttools-4.62.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee91628c08e76f77b533d65feb3fbe6d9dad699f95be51cf0d022db94089cdc4", size = 5137599, upload-time = "2026-03-13T13:54:04.495Z" }, + { url = "https://files.pythonhosted.org/packages/37/dc/8ccd45033fffd74deb6912fa1ca524643f584b94c87a16036855b498a1ed/fonttools-4.62.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5f37df1cac61d906e7b836abe356bc2f34c99d4477467755c216b72aa3dc748b", size = 4920933, upload-time = "2026-03-13T13:54:07.557Z" }, + { url = "https://files.pythonhosted.org/packages/99/eb/e618adefb839598d25ac8136cd577925d6c513dc0d931d93b8af956210f0/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:92bb00a947e666169c99b43753c4305fc95a890a60ef3aeb2a6963e07902cc87", size = 5016232, upload-time = "2026-03-13T13:54:10.611Z" }, + { url = "https://files.pythonhosted.org/packages/d9/5f/9b5c9bfaa8ec82def8d8168c4f13615990d6ce5996fe52bd49bfb5e05134/fonttools-4.62.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:bdfe592802ef939a0e33106ea4a318eeb17822c7ee168c290273cbd5fabd746c", size = 5042987, upload-time = "2026-03-13T13:54:13.569Z" }, + { url = "https://files.pythonhosted.org/packages/90/aa/dfbbe24c6a6afc5c203d90cc0343e24bcbb09e76d67c4d6eef8c2558d7ba/fonttools-4.62.1-cp314-cp314t-win32.whl", hash = "sha256:b820fcb92d4655513d8402d5b219f94481c4443d825b4372c75a2072aa4b357a", size = 2348021, upload-time = "2026-03-13T13:54:16.98Z" }, + { url = "https://files.pythonhosted.org/packages/13/6f/ae9c4e4dd417948407b680855c2c7790efb52add6009aaecff1e3bc50e8e/fonttools-4.62.1-cp314-cp314t-win_amd64.whl", hash = "sha256:59b372b4f0e113d3746b88985f1c796e7bf830dd54b28374cd85c2b8acd7583e", size = 2414147, upload-time = "2026-03-13T13:54:19.416Z" }, + { url = "https://files.pythonhosted.org/packages/fd/ba/56147c165442cc5ba7e82ecf301c9a68353cede498185869e6e02b4c264f/fonttools-4.62.1-py3-none-any.whl", hash = "sha256:7487782e2113861f4ddcc07c3436450659e3caa5e470b27dc2177cade2d8e7fd", size = 1152647, upload-time = "2026-03-13T13:54:22.735Z" }, +] + +[[package]] +name = "fqdn" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/30/3e/a80a8c077fd798951169626cde3e239adeba7dab75deb3555716415bd9b0/fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f", size = 6015, upload-time = "2021-03-11T07:16:29.08Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014", size = 9121, upload-time = "2021-03-11T07:16:28.351Z" }, +] + +[[package]] +name = "fsspec" +version = "2026.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/51/7c/f60c259dcbf4f0c47cc4ddb8f7720d2dcdc8888c8e5ad84c73ea4531cc5b/fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff", size = 313441, upload-time = "2026-02-05T21:50:53.743Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e6/ab/fb21f4c939bb440104cc2b396d3be1d9b7a9fd3c6c2a53d98c45b3d7c954/fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437", size = 202505, upload-time = "2026-02-05T21:50:51.819Z" }, +] + +[[package]] +name = "ghp-import" +version = "2.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "python-dateutil" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/d9/29/d40217cbe2f6b1359e00c6c307bb3fc876ba74068cbab3dde77f03ca0dc4/ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343", size = 10943, upload-time = "2022-05-02T15:47:16.11Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f7/ec/67fbef5d497f86283db54c22eec6f6140243aae73265799baaaa19cd17fb/ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619", size = 11034, upload-time = "2022-05-02T15:47:14.552Z" }, +] + +[[package]] +name = "griffelib" +version = "2.0.0" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4d/51/c936033e16d12b627ea334aaaaf42229c37620d0f15593456ab69ab48161/griffelib-2.0.0-py3-none-any.whl", hash = "sha256:01284878c966508b6d6f1dbff9b6fa607bc062d8261c5c7253cb285b06422a7f", size = 142004, upload-time = "2026-02-09T19:09:40.561Z" }, +] + +[[package]] +name = "h11" +version = "0.16.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" }, +] + +[[package]] +name = "h5io" +version = "0.2.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "h5py" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/78/17/3789c0c72e64d59ca2433237ec325b19f283b13c61b0ecfc0671afaf609b/h5io-0.2.5.tar.gz", hash = "sha256:265bc9c24508b30575e8a8806b19cd4440643ff26f8b82b51d0280444807eed8", size = 21000, upload-time = "2025-04-14T16:41:12.159Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/81/3c/e7260dcdbdb166a8e85b72929066f33a2892930eb81bd9080682f97c4855/h5io-0.2.5-py3-none-any.whl", hash = "sha256:657f85ecd0d0f307ccd2e13dc7af1c0aa546b1598065229aedab8a6afcacb8ee", size = 17663, upload-time = "2025-04-14T16:41:09.186Z" }, +] + +[[package]] +name = "h5py" +version = "3.16.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/db/33/acd0ce6863b6c0d7735007df01815403f5589a21ff8c2e1ee2587a38f548/h5py-3.16.0.tar.gz", hash = "sha256:a0dbaad796840ccaa67a4c144a0d0c8080073c34c76d5a6941d6818678ef2738", size = 446526, upload-time = "2026-03-06T13:49:08.07Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3a/6b/231413e58a787a89b316bb0d1777da3c62257e4797e09afd8d17ad3549dc/h5py-3.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e06f864bedb2c8e7c1358e6c73af48519e317457c444d6f3d332bb4e8fa6d7d9", size = 3724137, upload-time = "2026-03-06T13:47:35.242Z" }, + { url = "https://files.pythonhosted.org/packages/74/f9/557ce3aad0fe8471fb5279bab0fc56ea473858a022c4ce8a0b8f303d64e9/h5py-3.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec86d4fffd87a0f4cb3d5796ceb5a50123a2a6d99b43e616e5504e66a953eca3", size = 3090112, upload-time = "2026-03-06T13:47:37.634Z" }, + { url = "https://files.pythonhosted.org/packages/7a/f5/e15b3d0dc8a18e56409a839e6468d6fb589bc5207c917399c2e0706eeb44/h5py-3.16.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:86385ea895508220b8a7e45efa428aeafaa586bd737c7af9ee04661d8d84a10d", size = 4844847, upload-time = "2026-03-06T13:47:39.811Z" }, + { url = "https://files.pythonhosted.org/packages/cb/92/a8851d936547efe30cc0ce5245feac01f3ec6171f7899bc3f775c72030b3/h5py-3.16.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:8975273c2c5921c25700193b408e28d6bdd0111c37468b2d4e25dcec4cd1d84d", size = 5065352, upload-time = "2026-03-06T13:47:41.489Z" }, + { url = "https://files.pythonhosted.org/packages/2b/ae/f2adc5d0ca9626db3277a3d87516e124cbc5d0eea0bd79bc085702d04f2c/h5py-3.16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1677ad48b703f44efc9ea0c3ab284527f81bc4f318386aaaebc5fede6bbae56f", size = 4839173, upload-time = "2026-03-06T13:47:43.586Z" }, + { url = "https://files.pythonhosted.org/packages/64/0b/e0c8c69da1d8838da023a50cd3080eae5d475691f7636b35eff20bb6ef20/h5py-3.16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c4dd4cf5f0a4e36083f73172f6cfc25a5710789269547f132a20975bfe2434c", size = 5076216, upload-time = "2026-03-06T13:47:45.315Z" }, + { url = "https://files.pythonhosted.org/packages/66/35/d88fd6718832133c885004c61ceeeb24dbd6397ef877dbed6b3a64d6a286/h5py-3.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:bdef06507725b455fccba9c16529121a5e1fbf56aa375f7d9713d9e8ff42454d", size = 3183639, upload-time = "2026-03-06T13:47:47.041Z" }, + { url = "https://files.pythonhosted.org/packages/ba/95/a825894f3e45cbac7554c4e97314ce886b233a20033787eda755ca8fecc7/h5py-3.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:719439d14b83f74eeb080e9650a6c7aa6d0d9ea0ca7f804347b05fac6fbf18af", size = 3721663, upload-time = "2026-03-06T13:47:49.599Z" }, + { url = "https://files.pythonhosted.org/packages/bf/3b/38ff88b347c3e346cda1d3fc1b65a7aa75d40632228d8b8a5d7b58508c24/h5py-3.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c3f0a0e136f2e95dd0b67146abb6668af4f1a69c81ef8651a2d316e8e01de447", size = 3087630, upload-time = "2026-03-06T13:47:51.249Z" }, + { url = "https://files.pythonhosted.org/packages/98/a8/2594cef906aee761601eff842c7dc598bea2b394a3e1c00966832b8eeb7c/h5py-3.16.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:a6fbc5367d4046801f9b7db9191b31895f22f1c6df1f9987d667854cac493538", size = 4823472, upload-time = "2026-03-06T13:47:53.085Z" }, + { url = "https://files.pythonhosted.org/packages/52/a0/c1f604538ff6db22a0690be2dc44ab59178e115f63c917794e529356ab23/h5py-3.16.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fb1720028d99040792bb2fb31facb8da44a6f29df7697e0b84f0d79aff2e9bd3", size = 5027150, upload-time = "2026-03-06T13:47:55.043Z" }, + { url = "https://files.pythonhosted.org/packages/2e/fd/301739083c2fc4fd89950f9bcfce75d6e14b40b0ca3d40e48a8993d1722c/h5py-3.16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:314b6054fe0b1051c2b0cb2df5cbdab15622fb05e80f202e3b6a5eee0d6fe365", size = 4814544, upload-time = "2026-03-06T13:47:56.893Z" }, + { url = "https://files.pythonhosted.org/packages/4c/42/2193ed41ccee78baba8fcc0cff2c925b8b9ee3793305b23e1f22c20bf4c7/h5py-3.16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ffbab2fedd6581f6aa31cf1639ca2cb86e02779de525667892ebf4cc9fd26434", size = 5034013, upload-time = "2026-03-06T13:47:59.01Z" }, + { url = "https://files.pythonhosted.org/packages/f7/20/e6c0ff62ca2ad1a396a34f4380bafccaaf8791ff8fccf3d995a1fc12d417/h5py-3.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:17d1f1630f92ad74494a9a7392ab25982ce2b469fc62da6074c0ce48366a2999", size = 3191673, upload-time = "2026-03-06T13:48:00.626Z" }, + { url = "https://files.pythonhosted.org/packages/f2/48/239cbe352ac4f2b8243a8e620fa1a2034635f633731493a7ff1ed71e8658/h5py-3.16.0-cp311-cp311-win_arm64.whl", hash = "sha256:85b9c49dd58dc44cf70af944784e2c2038b6f799665d0dcbbc812a26e0faa859", size = 2673834, upload-time = "2026-03-06T13:48:02.579Z" }, + { url = "https://files.pythonhosted.org/packages/c8/c0/5d4119dba94093bbafede500d3defd2f5eab7897732998c04b54021e530b/h5py-3.16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c5313566f4643121a78503a473f0fb1e6dcc541d5115c44f05e037609c565c4d", size = 3685604, upload-time = "2026-03-06T13:48:04.198Z" }, + { url = "https://files.pythonhosted.org/packages/b0/42/c84efcc1d4caebafb1ecd8be4643f39c85c47a80fe254d92b8b43b1eadaf/h5py-3.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:42b012933a83e1a558c673176676a10ce2fd3759976a0fedee1e672d1e04fc9d", size = 3061940, upload-time = "2026-03-06T13:48:05.783Z" }, + { url = "https://files.pythonhosted.org/packages/89/84/06281c82d4d1686fde1ac6b0f307c50918f1c0151062445ab3b6fa5a921d/h5py-3.16.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:ff24039e2573297787c3063df64b60aab0591980ac898329a08b0320e0cf2527", size = 5198852, upload-time = "2026-03-06T13:48:07.482Z" }, + { url = "https://files.pythonhosted.org/packages/9e/e9/1a19e42cd43cc1365e127db6aae85e1c671da1d9a5d746f4d34a50edb577/h5py-3.16.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:dfc21898ff025f1e8e67e194965a95a8d4754f452f83454538f98f8a3fcb207e", size = 5405250, upload-time = "2026-03-06T13:48:09.628Z" }, + { url = "https://files.pythonhosted.org/packages/b7/8e/9790c1655eabeb85b92b1ecab7d7e62a2069e53baefd58c98f0909c7a948/h5py-3.16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:698dd69291272642ffda44a0ecd6cd3bda5faf9621452d255f57ce91487b9794", size = 5190108, upload-time = "2026-03-06T13:48:11.26Z" }, + { url = "https://files.pythonhosted.org/packages/51/d7/ab693274f1bd7e8c5f9fdd6c7003a88d59bedeaf8752716a55f532924fbb/h5py-3.16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2b2c02b0a160faed5fb33f1ba8a264a37ee240b22e049ecc827345d0d9043074", size = 5419216, upload-time = "2026-03-06T13:48:13.322Z" }, + { url = "https://files.pythonhosted.org/packages/03/c1/0976b235cf29ead553e22f2fb6385a8252b533715e00d0ae52ed7b900582/h5py-3.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:96b422019a1c8975c2d5dadcf61d4ba6f01c31f92bbde6e4649607885fe502d6", size = 3182868, upload-time = "2026-03-06T13:48:15.759Z" }, + { url = "https://files.pythonhosted.org/packages/14/d9/866b7e570b39070f92d47b0ff1800f0f8239b6f9e45f02363d7112336c1f/h5py-3.16.0-cp312-cp312-win_arm64.whl", hash = "sha256:39c2838fb1e8d97bcf1755e60ad1f3dd76a7b2a475928dc321672752678b96db", size = 2653286, upload-time = "2026-03-06T13:48:17.279Z" }, + { url = "https://files.pythonhosted.org/packages/0f/9e/6142ebfda0cb6e9349c091eae73c2e01a770b7659255248d637bec54a88b/h5py-3.16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:370a845f432c2c9619db8eed334d1e610c6015796122b0e57aa46312c22617d9", size = 3671808, upload-time = "2026-03-06T13:48:19.737Z" }, + { url = "https://files.pythonhosted.org/packages/b0/65/5e088a45d0f43cd814bc5bec521c051d42005a472e804b1a36c48dada09b/h5py-3.16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:42108e93326c50c2810025aade9eac9d6827524cdccc7d4b75a546e5ab308edb", size = 3045837, upload-time = "2026-03-06T13:48:21.854Z" }, + { url = "https://files.pythonhosted.org/packages/da/1e/6172269e18cc5a484e2913ced33339aad588e02ba407fafd00d369e22ef3/h5py-3.16.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:099f2525c9dcf28de366970a5fb34879aab20491589fa89ce2863a84218bb524", size = 5193860, upload-time = "2026-03-06T13:48:24.071Z" }, + { url = "https://files.pythonhosted.org/packages/bd/98/ef2b6fe2903e377cbe870c3b2800d62552f1e3dbe81ce49e1923c53d1c5c/h5py-3.16.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9300ad32dea9dfc5171f94d5f6948e159ed93e4701280b0f508773b3f582f402", size = 5400417, upload-time = "2026-03-06T13:48:25.728Z" }, + { url = "https://files.pythonhosted.org/packages/bc/81/5b62d760039eed64348c98129d17061fdfc7839fc9c04eaaad6dee1004e4/h5py-3.16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:171038f23bccddfc23f344cadabdfc9917ff554db6a0d417180d2747fe4c75a7", size = 5185214, upload-time = "2026-03-06T13:48:27.436Z" }, + { url = "https://files.pythonhosted.org/packages/28/c4/532123bcd9080e250696779c927f2cb906c8bf3447df98f5ceb8dcded539/h5py-3.16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7e420b539fb6023a259a1b14d4c9f6df8cf50d7268f48e161169987a57b737ff", size = 5414598, upload-time = "2026-03-06T13:48:29.49Z" }, + { url = "https://files.pythonhosted.org/packages/c3/d9/a27997f84341fc0dfcdd1fe4179b6ba6c32a7aa880fdb8c514d4dad6fba3/h5py-3.16.0-cp313-cp313-win_amd64.whl", hash = "sha256:18f2bbcd545e6991412253b98727374c356d67caa920e68dc79eab36bf5fedad", size = 3175509, upload-time = "2026-03-06T13:48:31.131Z" }, + { url = "https://files.pythonhosted.org/packages/a5/23/bb8647521d4fd770c30a76cfc6cb6a2f5495868904054e92f2394c5a78ff/h5py-3.16.0-cp313-cp313-win_arm64.whl", hash = "sha256:656f00e4d903199a1d58df06b711cf3ca632b874b4207b7dbec86185b5c8c7d4", size = 2647362, upload-time = "2026-03-06T13:48:33.411Z" }, + { url = "https://files.pythonhosted.org/packages/48/3c/7fcd9b4c9eed82e91fb15568992561019ae7a829d1f696b2c844355d95dd/h5py-3.16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9c9d307c0ef862d1cd5714f72ecfafe0a5d7529c44845afa8de9f46e5ba8bd65", size = 3678608, upload-time = "2026-03-06T13:48:35.183Z" }, + { url = "https://files.pythonhosted.org/packages/6a/b7/9366ed44ced9b7ef357ab48c94205280276db9d7f064aa3012a97227e966/h5py-3.16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:8c1eff849cdd53cbc73c214c30ebdb6f1bb8b64790b4b4fc36acdb5e43570210", size = 3054773, upload-time = "2026-03-06T13:48:37.139Z" }, + { url = "https://files.pythonhosted.org/packages/58/a5/4964bc0e91e86340c2bbda83420225b2f770dcf1eb8a39464871ad769436/h5py-3.16.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:e2c04d129f180019e216ee5f9c40b78a418634091c8782e1f723a6ca3658b965", size = 5198886, upload-time = "2026-03-06T13:48:38.879Z" }, + { url = "https://files.pythonhosted.org/packages/f1/16/d905e7f53e661ce2c24686c38048d8e2b750ffc4350009d41c4e6c6c9826/h5py-3.16.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:e4360f15875a532bc7b98196c7592ed4fc92672a57c0a621355961cafb17a6dd", size = 5404883, upload-time = "2026-03-06T13:48:41.324Z" }, + { url = "https://files.pythonhosted.org/packages/4b/f2/58f34cb74af46d39f4cd18ea20909a8514960c5a3e5b92fd06a28161e0a8/h5py-3.16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3fae9197390c325e62e0a1aa977f2f62d994aa87aab182abbea85479b791197c", size = 5192039, upload-time = "2026-03-06T13:48:43.117Z" }, + { url = "https://files.pythonhosted.org/packages/ce/ca/934a39c24ce2e2db017268c08da0537c20fa0be7e1549be3e977313fc8f5/h5py-3.16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:43259303989ac8adacc9986695b31e35dba6fd1e297ff9c6a04b7da5542139cc", size = 5421526, upload-time = "2026-03-06T13:48:44.838Z" }, + { url = "https://files.pythonhosted.org/packages/3e/14/615a450205e1b56d16c6783f5ccd116cde05550faad70ae077c955654a75/h5py-3.16.0-cp314-cp314-win_amd64.whl", hash = "sha256:fa48993a0b799737ba7fd21e2350fa0a60701e58180fae9f2de834bc39a147ab", size = 3183263, upload-time = "2026-03-06T13:48:47.117Z" }, + { url = "https://files.pythonhosted.org/packages/7b/48/a6faef5ed632cae0c65ac6b214a6614a0b510c3183532c521bdb0055e117/h5py-3.16.0-cp314-cp314-win_arm64.whl", hash = "sha256:1897a771a7f40d05c262fc8f37376ec37873218544b70216872876c627640f63", size = 2663450, upload-time = "2026-03-06T13:48:48.707Z" }, + { url = "https://files.pythonhosted.org/packages/5d/32/0c8bb8aedb62c772cf7c1d427c7d1951477e8c2835f872bc0a13d1f85f86/h5py-3.16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:15922e485844f77c0b9d275396d435db3baa58292a9c2176a386e072e0cf2491", size = 3760693, upload-time = "2026-03-06T13:48:50.453Z" }, + { url = "https://files.pythonhosted.org/packages/1d/1f/fcc5977d32d6387c5c9a694afee716a5e20658ac08b3ff24fdec79fb05f2/h5py-3.16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:df02dd29bd247f98674634dfe41f89fd7c16ba3d7de8695ec958f58404a4e618", size = 3181305, upload-time = "2026-03-06T13:48:52.221Z" }, + { url = "https://files.pythonhosted.org/packages/f5/a1/af87f64b9f986889884243643621ebbd4ac72472ba8ec8cec891ac8e2ca1/h5py-3.16.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:0f456f556e4e2cebeebd9d66adf8dc321770a42593494a0b6f0af54a7567b242", size = 5074061, upload-time = "2026-03-06T13:48:54.089Z" }, + { url = "https://files.pythonhosted.org/packages/cc/d0/146f5eaff3dc246a9c7f6e5e4f42bd45cc613bce16693bcd4d1f7c958bf5/h5py-3.16.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:3e6cb3387c756de6a9492d601553dffea3fe11b5f22b443aac708c69f3f55e16", size = 5279216, upload-time = "2026-03-06T13:48:56.75Z" }, + { url = "https://files.pythonhosted.org/packages/a1/9d/12a13424f1e604fc7df9497b73c0356fb78c2fb206abd7465ce47226e8fd/h5py-3.16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:8389e13a1fd745ad2856873e8187fd10268b2d9677877bb667b41aebd771d8b7", size = 5070068, upload-time = "2026-03-06T13:48:59.169Z" }, + { url = "https://files.pythonhosted.org/packages/41/8c/bbe98f813722b4873818a8db3e15aa3e625b59278566905ac439725e8070/h5py-3.16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:346df559a0f7dcb31cf8e44805319e2ab24b8957c45e7708ce503b2ec79ba725", size = 5300253, upload-time = "2026-03-06T13:49:02.033Z" }, + { url = "https://files.pythonhosted.org/packages/32/9e/87e6705b4d6890e7cecdf876e2a7d3e40654a2ae37482d79a6f1b87f7b92/h5py-3.16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:4c6ab014ab704b4feaa719ae783b86522ed0bf1f82184704ed3c9e4e3228796e", size = 3381671, upload-time = "2026-03-06T13:49:04.351Z" }, + { url = "https://files.pythonhosted.org/packages/96/91/9fad90cfc5f9b2489c7c26ad897157bce82f0e9534a986a221b99760b23b/h5py-3.16.0-cp314-cp314t-win_arm64.whl", hash = "sha256:faca8fb4e4319c09d83337adc80b2ca7d5c5a343c2d6f1b6388f32cfecca13c1", size = 2740706, upload-time = "2026-03-06T13:49:06.347Z" }, +] + +[[package]] +name = "htmltools" +version = "0.6.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "packaging" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/cd/1d/c568d17e9fb5ad5aa0ca3531c58d36fe69deb8eee4e53ff6425c1f99f210/htmltools-0.6.0.tar.gz", hash = "sha256:e8a3fb023d748935035db7ff17f620612ffc814a6a80b6ae388f7b7ab182adf7", size = 97152, upload-time = "2024-10-29T20:21:43.378Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0a/ba/aa99706246f1938ca905eb6eeb7db832ac2e157aa4b805acb5cd4cd1791a/htmltools-0.6.0-py3-none-any.whl", hash = "sha256:072a274ff5e2851e0acce13fc5bb2bbdbbad8268dc8b123f881c05012ce7dce0", size = 84954, upload-time = "2024-10-29T20:21:42.067Z" }, +] + +[[package]] +name = "httpcore" +version = "1.0.9" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "h11" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" }, +] + +[[package]] +name = "httpx" +version = "0.28.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "certifi" }, + { name = "httpcore" }, + { name = "idna" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" }, +] + +[[package]] +name = "hypyp" +version = "0.5.0b18" +source = { editable = "." } +dependencies = [ + { name = "autoreject" }, + { name = "certifi" }, + { name = "importlib-resources" }, + { name = "matplotlib" }, + { name = "meshio" }, + { name = "mistune" }, + { name = "mne" }, + { name = "mne-connectivity" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pillow" }, + { name = "pyarrow" }, + { name = "pywavelets", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "pywavelets", version = "1.9.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pyxdf" }, + { name = "requests" }, + { name = "scikit-image", version = "0.25.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scikit-image", version = "0.26.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "seaborn" }, + { name = "snirf" }, + { name = "statsmodels" }, + { name = "tqdm" }, + { name = "urllib3" }, +] + +[package.optional-dependencies] +numba = [ + { name = "numba" }, +] +shiny = [ + { name = "shiny" }, +] +torch = [ + { name = "torch" }, +] + +[package.dev-dependencies] +benchmark = [ + { name = "doit" }, +] +dev = [ + { name = "black" }, + { name = "ipykernel" }, + { name = "ipywidgets" }, + { name = "jupyterlab" }, + { name = "livereload" }, + { name = "mkdocs" }, + { name = "mkdocs-include-markdown-plugin" }, + { name = "mkdocs-material" }, + { name = "mkdocstrings" }, + { name = "mkdocstrings-python" }, + { name = "mkdocstrings-python-legacy" }, + { name = "notebook" }, + { name = "pylint" }, + { name = "pyqt6" }, + { name = "pytest" }, + { name = "pytest-mock" }, + { name = "pytest-watch" }, + { name = "tabulate" }, + { name = "widgetsnbextension" }, +] + +[package.metadata] +requires-dist = [ + { name = "autoreject", specifier = ">=0.4.3" }, + { name = "certifi", specifier = ">=2022.12.7" }, + { name = "importlib-resources", specifier = ">=6.0.0" }, + { name = "matplotlib", specifier = ">=3.7.2" }, + { name = "meshio", specifier = ">=5.3.4" }, + { name = "mistune", specifier = ">=2.0.4" }, + { name = "mne", specifier = ">=1.3" }, + { name = "mne-connectivity", specifier = ">=0.7.0" }, + { name = "numba", marker = "extra == 'numba'", specifier = ">=0.60.0" }, + { name = "numpy", specifier = ">=2.2.3" }, + { name = "pandas", specifier = ">=2.0.3" }, + { name = "pillow", specifier = ">=11.3.0" }, + { name = "pyarrow", specifier = ">=20.0.0" }, + { name = "pywavelets", specifier = ">=1.8.0" }, + { name = "pyxdf", specifier = ">=1.17.0" }, + { name = "requests", specifier = ">=2.32.4" }, + { name = "scikit-image", specifier = ">=0.25.2" }, + { name = "scipy", specifier = ">=1.11.1,<1.17.0" }, + { name = "seaborn", specifier = ">=0.13.2" }, + { name = "shiny", marker = "extra == 'shiny'", specifier = ">=1.1.0" }, + { name = "snirf", specifier = ">=0.8.0" }, + { name = "statsmodels", specifier = ">=0.14.4" }, + { name = "torch", marker = "extra == 'torch'", specifier = ">=2.0.0" }, + { name = "tqdm", specifier = ">=4.46.0" }, + { name = "urllib3", specifier = ">=2.5.0" }, +] +provides-extras = ["shiny", "numba", "torch"] + +[package.metadata.requires-dev] +benchmark = [{ name = "doit", specifier = ">=0.36.0" }] +dev = [ + { name = "black", specifier = ">=25.1.0" }, + { name = "ipykernel", specifier = ">=6.19.4" }, + { name = "ipywidgets", specifier = ">=7.5.1" }, + { name = "jupyterlab", specifier = ">=4.3.5" }, + { name = "livereload", specifier = ">=2.6.3" }, + { name = "mkdocs", specifier = ">=1.3.0" }, + { name = "mkdocs-include-markdown-plugin", specifier = ">=7.1.5" }, + { name = "mkdocs-material", specifier = ">=8.2.15" }, + { name = "mkdocstrings", specifier = ">=0.20.0" }, + { name = "mkdocstrings-python", specifier = ">=1.1.0" }, + { name = "mkdocstrings-python-legacy", specifier = ">=0.2.3" }, + { name = "notebook", specifier = ">=7.4.3" }, + { name = "pylint", specifier = ">=2.4.4" }, + { name = "pyqt6", specifier = ">=6.10.2" }, + { name = "pytest", specifier = ">=7.2.0" }, + { name = "pytest-mock", specifier = ">=3.14.0" }, + { name = "pytest-watch", specifier = ">=4.2.0" }, + { name = "tabulate", specifier = ">=0.9.0" }, + { name = "widgetsnbextension", specifier = ">=3.5.1" }, +] + +[[package]] +name = "idna" +version = "3.11" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" }, +] + +[[package]] +name = "imageio" +version = "2.37.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pillow" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b1/84/93bcd1300216ea50811cee96873b84a1bebf8d0489ffaf7f2a3756bab866/imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451", size = 389673, upload-time = "2026-03-09T11:31:12.573Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/49/fa/391e437a34e55095173dca5f24070d89cbc233ff85bf1c29c93248c6588d/imageio-2.37.3-py3-none-any.whl", hash = "sha256:46f5bb8522cd421c0f5ae104d8268f569d856b29eb1a13b92829d1970f32c9f0", size = 317646, upload-time = "2026-03-09T11:31:10.771Z" }, +] + +[[package]] +name = "importlib-metadata" +version = "8.7.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "zipp" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f3/49/3b30cad09e7771a4982d9975a8cbf64f00d4a1ececb53297f1d9a7be1b10/importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb", size = 57107, upload-time = "2025-12-21T10:00:19.278Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fa/5e/f8e9a1d23b9c20a551a8a02ea3637b4642e22c2626e3a13a9a29cdea99eb/importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151", size = 27865, upload-time = "2025-12-21T10:00:18.329Z" }, +] + +[[package]] +name = "importlib-resources" +version = "6.5.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cf/8c/f834fbf984f691b4f7ff60f50b514cc3de5cc08abfc3295564dd89c5e2e7/importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c", size = 44693, upload-time = "2025-01-03T18:51:56.698Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec", size = 37461, upload-time = "2025-01-03T18:51:54.306Z" }, +] + +[[package]] +name = "iniconfig" +version = "2.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" }, +] + +[[package]] +name = "ipykernel" +version = "7.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "appnope", marker = "sys_platform == 'darwin'" }, + { name = "comm" }, + { name = "debugpy" }, + { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "matplotlib-inline" }, + { name = "nest-asyncio" }, + { name = "packaging" }, + { name = "psutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ca/8d/b68b728e2d06b9e0051019640a40a9eb7a88fcd82c2e1b5ce70bef5ff044/ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e", size = 176046, upload-time = "2026-02-06T16:43:27.403Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/b9/e73d5d9f405cba7706c539aa8b311b49d4c2f3d698d9c12f815231169c71/ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661", size = 118788, upload-time = "2026-02-06T16:43:25.149Z" }, +] + +[[package]] +name = "ipython" +version = "8.38.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "colorama", marker = "python_full_version < '3.11' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version < '3.11'" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "jedi", marker = "python_full_version < '3.11'" }, + { name = "matplotlib-inline", marker = "python_full_version < '3.11'" }, + { name = "pexpect", marker = "python_full_version < '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version < '3.11'" }, + { name = "pygments", marker = "python_full_version < '3.11'" }, + { name = "stack-data", marker = "python_full_version < '3.11'" }, + { name = "traitlets", marker = "python_full_version < '3.11'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e5/61/1810830e8b93c72dcd3c0f150c80a00c3deb229562d9423807ec92c3a539/ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39", size = 5513996, upload-time = "2026-01-05T10:59:06.901Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9f/df/db59624f4c71b39717c423409950ac3f2c8b2ce4b0aac843112c7fb3f721/ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86", size = 831813, upload-time = "2026-01-05T10:59:04.239Z" }, +] + +[[package]] +name = "ipython" +version = "9.10.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version == '3.11.*' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version == '3.11.*'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version == '3.11.*'" }, + { name = "jedi", marker = "python_full_version == '3.11.*'" }, + { name = "matplotlib-inline", marker = "python_full_version == '3.11.*'" }, + { name = "pexpect", marker = "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version == '3.11.*'" }, + { name = "pygments", marker = "python_full_version == '3.11.*'" }, + { name = "stack-data", marker = "python_full_version == '3.11.*'" }, + { name = "traitlets", marker = "python_full_version == '3.11.*'" }, + { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a6/60/2111715ea11f39b1535bed6024b7dec7918b71e5e5d30855a5b503056b50/ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77", size = 4426526, upload-time = "2026-02-02T10:00:33.594Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/aa/898dec789a05731cd5a9f50605b7b44a72bd198fd0d4528e11fc610177cc/ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d", size = 622774, upload-time = "2026-02-02T10:00:31.503Z" }, +] + +[[package]] +name = "ipython" +version = "9.11.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version >= '3.12' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version >= '3.12'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version >= '3.12'" }, + { name = "jedi", marker = "python_full_version >= '3.12'" }, + { name = "matplotlib-inline", marker = "python_full_version >= '3.12'" }, + { name = "pexpect", marker = "python_full_version >= '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version >= '3.12'" }, + { name = "pygments", marker = "python_full_version >= '3.12'" }, + { name = "stack-data", marker = "python_full_version >= '3.12'" }, + { name = "traitlets", marker = "python_full_version >= '3.12'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/86/28/a4698eda5a8928a45d6b693578b135b753e14fa1c2b36ee9441e69a45576/ipython-9.11.0.tar.gz", hash = "sha256:2a94bc4406b22ecc7e4cb95b98450f3ea493a76bec8896cda11b78d7752a6667", size = 4427354, upload-time = "2026-03-05T08:57:30.549Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b2/90/45c72becc57158facc6a6404f663b77bbcea2519ca57f760e2879ae1315d/ipython-9.11.0-py3-none-any.whl", hash = "sha256:6922d5bcf944c6e525a76a0a304451b60a2b6f875e86656d8bc2dfda5d710e19", size = 624222, upload-time = "2026-03-05T08:57:28.94Z" }, +] + +[[package]] +name = "ipython-pygments-lexers" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pygments", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c", size = 8074, upload-time = "2025-01-17T11:24:33.271Z" }, +] + +[[package]] +name = "ipywidgets" +version = "8.1.8" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "comm" }, + { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "jupyterlab-widgets" }, + { name = "traitlets" }, + { name = "widgetsnbextension" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/4c/ae/c5ce1edc1afe042eadb445e95b0671b03cee61895264357956e61c0d2ac0/ipywidgets-8.1.8.tar.gz", hash = "sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668", size = 116739, upload-time = "2025-11-01T21:18:12.393Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/56/6d/0d9848617b9f753b87f214f1c682592f7ca42de085f564352f10f0843026/ipywidgets-8.1.8-py3-none-any.whl", hash = "sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e", size = 139808, upload-time = "2025-11-01T21:18:10.956Z" }, +] + +[[package]] +name = "isoduration" +version = "20.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "arrow" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7c/1a/3c8edc664e06e6bd06cce40c6b22da5f1429aa4224d0c590f3be21c91ead/isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9", size = 11649, upload-time = "2020-11-01T11:00:00.312Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042", size = 11321, upload-time = "2020-11-01T10:59:58.02Z" }, +] + +[[package]] +name = "isort" +version = "8.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ef/7c/ec4ab396d31b3b395e2e999c8f46dec78c5e29209fac49d1f4dace04041d/isort-8.0.1.tar.gz", hash = "sha256:171ac4ff559cdc060bcfff550bc8404a486fee0caab245679c2abe7cb253c78d", size = 769592, upload-time = "2026-02-28T10:08:20.685Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3e/95/c7c34aa53c16353c56d0b802fba48d5f5caa2cdee7958acbcb795c830416/isort-8.0.1-py3-none-any.whl", hash = "sha256:28b89bc70f751b559aeca209e6120393d43fbe2490de0559662be7a9787e3d75", size = 89733, upload-time = "2026-02-28T10:08:19.466Z" }, +] + +[[package]] +name = "jedi" +version = "0.19.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "parso" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/72/3a/79a912fbd4d8dd6fbb02bf69afd3bb72cf0c729bb3063c6f4498603db17a/jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0", size = 1231287, upload-time = "2024-11-11T01:41:42.873Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278, upload-time = "2024-11-11T01:41:40.175Z" }, +] + +[[package]] +name = "jinja2" +version = "3.1.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markupsafe" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" }, +] + +[[package]] +name = "joblib" +version = "1.5.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/41/f2/d34e8b3a08a9cc79a50b2208a93dce981fe615b64d5a4d4abee421d898df/joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3", size = 331603, upload-time = "2025-12-15T08:41:46.427Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/91/984aca2ec129e2757d1e4e3c81c3fcda9d0f85b74670a094cc443d9ee949/joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713", size = 309071, upload-time = "2025-12-15T08:41:44.973Z" }, +] + +[[package]] +name = "json5" +version = "0.13.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/77/e8/a3f261a66e4663f22700bc8a17c08cb83e91fbf086726e7a228398968981/json5-0.13.0.tar.gz", hash = "sha256:b1edf8d487721c0bf64d83c28e91280781f6e21f4a797d3261c7c828d4c165bf", size = 52441, upload-time = "2026-01-01T19:42:14.99Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d7/9e/038522f50ceb7e74f1f991bf1b699f24b0c2bbe7c390dd36ad69f4582258/json5-0.13.0-py3-none-any.whl", hash = "sha256:9a08e1dd65f6a4d4c6fa82d216cf2477349ec2346a38fd70cc11d2557499fbcc", size = 36163, upload-time = "2026-01-01T19:42:13.962Z" }, +] + +[[package]] +name = "jsonpointer" +version = "3.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/48/bf/9ecc036fbc15cf4153ea6ed4dbeed31ef043f762cccc9d44a534be8319b0/jsonpointer-3.1.0.tar.gz", hash = "sha256:f9b39abd59ba8c1de8a4ff16141605d2a8dacc4dd6cf399672cf237bfe47c211", size = 9000, upload-time = "2026-03-20T21:47:09.982Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e4/25/cebb241a435cbf4626b5ea096d8385c04416d7ca3082a15299b746e248fa/jsonpointer-3.1.0-py3-none-any.whl", hash = "sha256:f82aa0f745001f169b96473348370b43c3f581446889c41c807bab1db11c8e7b", size = 7651, upload-time = "2026-03-20T21:47:08.792Z" }, +] + +[[package]] +name = "jsonschema" +version = "4.26.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "jsonschema-specifications" }, + { name = "referencing" }, + { name = "rpds-py" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/69/90/f63fb5873511e014207a475e2bb4e8b2e570d655b00ac19a9a0ca0a385ee/jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce", size = 90630, upload-time = "2026-01-07T13:41:05.306Z" }, +] + +[package.optional-dependencies] +format-nongpl = [ + { name = "fqdn" }, + { name = "idna" }, + { name = "isoduration" }, + { name = "jsonpointer" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "rfc3987-syntax" }, + { name = "uri-template" }, + { name = "webcolors" }, +] + +[[package]] +name = "jsonschema-specifications" +version = "2025.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "referencing" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" }, +] + +[[package]] +name = "jupyter-client" +version = "8.8.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-core" }, + { name = "python-dateutil" }, + { name = "pyzmq" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/05/e4/ba649102a3bc3fbca54e7239fb924fd434c766f855693d86de0b1f2bec81/jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e", size = 348020, upload-time = "2026-01-08T13:55:47.938Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2d/0b/ceb7694d864abc0a047649aec263878acb9f792e1fec3e676f22dc9015e3/jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a", size = 107371, upload-time = "2026-01-08T13:55:45.562Z" }, +] + +[[package]] +name = "jupyter-core" +version = "5.9.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "platformdirs" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/02/49/9d1284d0dc65e2c757b74c6687b6d319b02f822ad039e5c512df9194d9dd/jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508", size = 89814, upload-time = "2025-10-16T19:19:18.444Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/e7/80988e32bf6f73919a113473a604f5a8f09094de312b9d52b79c2df7612b/jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407", size = 29032, upload-time = "2025-10-16T19:19:16.783Z" }, +] + +[[package]] +name = "jupyter-events" +version = "0.12.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jsonschema", extra = ["format-nongpl"] }, + { name = "packaging" }, + { name = "python-json-logger" }, + { name = "pyyaml" }, + { name = "referencing" }, + { name = "rfc3339-validator" }, + { name = "rfc3986-validator" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9d/c3/306d090461e4cf3cd91eceaff84bede12a8e52cd821c2d20c9a4fd728385/jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b", size = 62196, upload-time = "2025-02-03T17:23:41.485Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb", size = 19430, upload-time = "2025-02-03T17:23:38.643Z" }, +] + +[[package]] +name = "jupyter-lsp" +version = "2.3.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/eb/5a/9066c9f8e94ee517133cd98dba393459a16cd48bba71a82f16a65415206c/jupyter_lsp-2.3.0.tar.gz", hash = "sha256:458aa59339dc868fb784d73364f17dbce8836e906cd75fd471a325cba02e0245", size = 54823, upload-time = "2025-08-27T17:47:34.671Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1a/60/1f6cee0c46263de1173894f0fafcb3475ded276c472c14d25e0280c18d6d/jupyter_lsp-2.3.0-py3-none-any.whl", hash = "sha256:e914a3cb2addf48b1c7710914771aaf1819d46b2e5a79b0f917b5478ec93f34f", size = 76687, upload-time = "2025-08-27T17:47:33.15Z" }, +] + +[[package]] +name = "jupyter-server" +version = "2.17.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "argon2-cffi" }, + { name = "jinja2" }, + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "jupyter-events" }, + { name = "jupyter-server-terminals" }, + { name = "nbconvert" }, + { name = "nbformat" }, + { name = "overrides", marker = "python_full_version < '3.12'" }, + { name = "packaging" }, + { name = "prometheus-client" }, + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "pyzmq" }, + { name = "send2trash" }, + { name = "terminado" }, + { name = "tornado" }, + { name = "traitlets" }, + { name = "websocket-client" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5b/ac/e040ec363d7b6b1f11304cc9f209dac4517ece5d5e01821366b924a64a50/jupyter_server-2.17.0.tar.gz", hash = "sha256:c38ea898566964c888b4772ae1ed58eca84592e88251d2cfc4d171f81f7e99d5", size = 731949, upload-time = "2025-08-21T14:42:54.042Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/92/80/a24767e6ca280f5a49525d987bf3e4d7552bf67c8be07e8ccf20271f8568/jupyter_server-2.17.0-py3-none-any.whl", hash = "sha256:e8cb9c7db4251f51ed307e329b81b72ccf2056ff82d50524debde1ee1870e13f", size = 388221, upload-time = "2025-08-21T14:42:52.034Z" }, +] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "terminado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f4/a7/bcd0a9b0cbba88986fe944aaaf91bfda603e5a50bda8ed15123f381a3b2f/jupyter_server_terminals-0.5.4.tar.gz", hash = "sha256:bbda128ed41d0be9020349f9f1f2a4ab9952a73ed5f5ac9f1419794761fb87f5", size = 31770, upload-time = "2026-01-14T16:53:20.213Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/2d/6674563f71c6320841fc300911a55143925112a72a883e2ca71fba4c618d/jupyter_server_terminals-0.5.4-py3-none-any.whl", hash = "sha256:55be353fc74a80bc7f3b20e6be50a55a61cd525626f578dcb66a5708e2007d14", size = 13704, upload-time = "2026-01-14T16:53:18.738Z" }, +] + +[[package]] +name = "jupyterlab" +version = "4.5.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "async-lru" }, + { name = "httpx" }, + { name = "ipykernel" }, + { name = "jinja2" }, + { name = "jupyter-core" }, + { name = "jupyter-lsp" }, + { name = "jupyter-server" }, + { name = "jupyterlab-server" }, + { name = "notebook-shim" }, + { name = "packaging" }, + { name = "setuptools" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "tornado" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ac/d5/730628e03fff2e8a8e8ccdaedde1489ab1309f9a4fa2536248884e30b7c7/jupyterlab-4.5.6.tar.gz", hash = "sha256:642fe2cfe7f0f5922a8a558ba7a0d246c7bc133b708dfe43f7b3a826d163cf42", size = 23970670, upload-time = "2026-03-11T14:17:04.531Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e1/1b/dad6fdcc658ed7af26fdf3841e7394072c9549a8b896c381ab49dd11e2d9/jupyterlab-4.5.6-py3-none-any.whl", hash = "sha256:d6b3dac883aa4d9993348e0f8e95b24624f75099aed64eab6a4351a9cdd1e580", size = 12447124, upload-time = "2026-03-11T14:17:00.229Z" }, +] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/90/51/9187be60d989df97f5f0aba133fa54e7300f17616e065d1ada7d7646b6d6/jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d", size = 512900, upload-time = "2023-11-23T09:26:37.44Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780", size = 15884, upload-time = "2023-11-23T09:26:34.325Z" }, +] + +[[package]] +name = "jupyterlab-server" +version = "2.28.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "babel" }, + { name = "jinja2" }, + { name = "json5" }, + { name = "jsonschema" }, + { name = "jupyter-server" }, + { name = "packaging" }, + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/d6/2c/90153f189e421e93c4bb4f9e3f59802a1f01abd2ac5cf40b152d7f735232/jupyterlab_server-2.28.0.tar.gz", hash = "sha256:35baa81898b15f93573e2deca50d11ac0ae407ebb688299d3a5213265033712c", size = 76996, upload-time = "2025-10-22T13:59:18.37Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e0/07/a000fe835f76b7e1143242ab1122e6362ef1c03f23f83a045c38859c2ae0/jupyterlab_server-2.28.0-py3-none-any.whl", hash = "sha256:e4355b148fdcf34d312bbbc80f22467d6d20460e8b8736bf235577dd18506968", size = 59830, upload-time = "2025-10-22T13:59:16.767Z" }, +] + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.16" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/26/2d/ef58fed122b268c69c0aa099da20bc67657cdfb2e222688d5731bd5b971d/jupyterlab_widgets-3.0.16.tar.gz", hash = "sha256:423da05071d55cf27a9e602216d35a3a65a3e41cdf9c5d3b643b814ce38c19e0", size = 897423, upload-time = "2025-11-01T21:11:29.724Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ab/b5/36c712098e6191d1b4e349304ef73a8d06aed77e56ceaac8c0a306c7bda1/jupyterlab_widgets-3.0.16-py3-none-any.whl", hash = "sha256:45fa36d9c6422cf2559198e4db481aa243c7a32d9926b500781c830c80f7ecf8", size = 914926, upload-time = "2025-11-01T21:11:28.008Z" }, +] + +[[package]] +name = "kiwisolver" +version = "1.5.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d0/67/9c61eccb13f0bdca9307614e782fec49ffdde0f7a2314935d489fa93cd9c/kiwisolver-1.5.0.tar.gz", hash = "sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a", size = 103482, upload-time = "2026-03-09T13:15:53.382Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ac/f8/06549565caa026e540b7e7bab5c5a90eb7ca986015f4c48dace243cd24d9/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374", size = 122802, upload-time = "2026-03-09T13:12:37.515Z" }, + { url = "https://files.pythonhosted.org/packages/84/eb/8476a0818850c563ff343ea7c9c05dcdcbd689a38e01aa31657df01f91fa/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd", size = 66216, upload-time = "2026-03-09T13:12:38.812Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c4/f9c8a6b4c21aed4198566e45923512986d6cef530e7263b3a5f823546561/kiwisolver-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86e0287879f75621ae85197b0877ed2f8b7aa57b511c7331dce2eb6f4de7d476", size = 63917, upload-time = "2026-03-09T13:12:40.053Z" }, + { url = "https://files.pythonhosted.org/packages/f1/0e/ba4ae25d03722f64de8b2c13e80d82ab537a06b30fc7065183c6439357e3/kiwisolver-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:62f59da443c4f4849f73a51a193b1d9d258dcad0c41bc4d1b8fb2bcc04bfeb22", size = 1628776, upload-time = "2026-03-09T13:12:41.976Z" }, + { url = "https://files.pythonhosted.org/packages/8a/e4/3f43a011bc8a0860d1c96f84d32fa87439d3feedf66e672fef03bf5e8bac/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9190426b7aa26c5229501fa297b8d0653cfd3f5a36f7990c264e157cbf886b3b", size = 1228164, upload-time = "2026-03-09T13:12:44.002Z" }, + { url = "https://files.pythonhosted.org/packages/4b/34/3a901559a1e0c218404f9a61a93be82d45cb8f44453ba43088644980f033/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c8277104ded0a51e699c8c3aff63ce2c56d4ed5519a5f73e0fd7057f959a2b9e", size = 1246656, upload-time = "2026-03-09T13:12:45.557Z" }, + { url = "https://files.pythonhosted.org/packages/87/9e/f78c466ea20527822b95ad38f141f2de1dcd7f23fb8716b002b0d91bbe59/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8f9baf6f0a6e7571c45c8863010b45e837c3ee1c2c77fcd6ef423be91b21fedb", size = 1295562, upload-time = "2026-03-09T13:12:47.562Z" }, + { url = "https://files.pythonhosted.org/packages/0a/66/fd0e4a612e3a286c24e6d6f3a5428d11258ed1909bc530ba3b59807fd980/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537", size = 2178473, upload-time = "2026-03-09T13:12:50.254Z" }, + { url = "https://files.pythonhosted.org/packages/dc/8e/6cac929e0049539e5ee25c1ee937556f379ba5204840d03008363ced662d/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4", size = 2274035, upload-time = "2026-03-09T13:12:51.785Z" }, + { url = "https://files.pythonhosted.org/packages/ca/d3/9d0c18f1b52ea8074b792452cf17f1f5a56bd0302a85191f405cfbf9da16/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c", size = 2443217, upload-time = "2026-03-09T13:12:53.329Z" }, + { url = "https://files.pythonhosted.org/packages/45/2a/6e19368803a038b2a90857bf4ee9e3c7b667216d045866bf22d3439fd75e/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede", size = 2249196, upload-time = "2026-03-09T13:12:55.057Z" }, + { url = "https://files.pythonhosted.org/packages/75/2b/3f641dfcbe72e222175d626bacf2f72c3b34312afec949dd1c50afa400f5/kiwisolver-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:94eff26096eb5395136634622515b234ecb6c9979824c1f5004c6e3c3c85ccd2", size = 73389, upload-time = "2026-03-09T13:12:56.496Z" }, + { url = "https://files.pythonhosted.org/packages/da/88/299b137b9e0025d8982e03d2d52c123b0a2b159e84b0ef1501ef446339cf/kiwisolver-1.5.0-cp310-cp310-win_arm64.whl", hash = "sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875", size = 64782, upload-time = "2026-03-09T13:12:57.609Z" }, + { url = "https://files.pythonhosted.org/packages/12/dd/a495a9c104be1c476f0386e714252caf2b7eca883915422a64c50b88c6f5/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c", size = 122798, upload-time = "2026-03-09T13:12:58.963Z" }, + { url = "https://files.pythonhosted.org/packages/11/60/37b4047a2af0cf5ef6d8b4b26e91829ae6fc6a2d1f74524bcb0e7cd28a32/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb", size = 66216, upload-time = "2026-03-09T13:13:00.155Z" }, + { url = "https://files.pythonhosted.org/packages/0a/aa/510dc933d87767584abfe03efa445889996c70c2990f6f87c3ebaa0a18c5/kiwisolver-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac", size = 63911, upload-time = "2026-03-09T13:13:01.671Z" }, + { url = "https://files.pythonhosted.org/packages/80/46/bddc13df6c2a40741e0cc7865bb1c9ed4796b6760bd04ce5fae3928ef917/kiwisolver-1.5.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2517e24d7315eb51c10664cdb865195df38ab74456c677df67bb47f12d088a27", size = 1438209, upload-time = "2026-03-09T13:13:03.385Z" }, + { url = "https://files.pythonhosted.org/packages/fd/d6/76621246f5165e5372f02f5e6f3f48ea336a8f9e96e43997d45b240ed8cd/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ff710414307fefa903e0d9bdf300972f892c23477829f49504e59834f4195398", size = 1248888, upload-time = "2026-03-09T13:13:05.231Z" }, + { url = "https://files.pythonhosted.org/packages/b2/c1/31559ec6fb39a5b48035ce29bb63ade628f321785f38c384dee3e2c08bc1/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6176c1811d9d5a04fa391c490cc44f451e240697a16977f11c6f722efb9041db", size = 1266304, upload-time = "2026-03-09T13:13:06.743Z" }, + { url = "https://files.pythonhosted.org/packages/5e/ef/1cb8276f2d29cc6a41e0a042f27946ca347d3a4a75acf85d0a16aa6dcc82/kiwisolver-1.5.0-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:50847dca5d197fcbd389c805aa1a1cf32f25d2e7273dc47ab181a517666b68cc", size = 1319650, upload-time = "2026-03-09T13:13:08.607Z" }, + { url = "https://files.pythonhosted.org/packages/4c/e4/5ba3cecd7ce6236ae4a80f67e5d5531287337d0e1f076ca87a5abe4cd5d0/kiwisolver-1.5.0-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:01808c6d15f4c3e8559595d6d1fe6411c68e4a3822b4b9972b44473b24f4e679", size = 970949, upload-time = "2026-03-09T13:13:10.299Z" }, + { url = "https://files.pythonhosted.org/packages/5a/69/dc61f7ae9a2f071f26004ced87f078235b5507ab6e5acd78f40365655034/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f1f9f4121ec58628c96baa3de1a55a4e3a333c5102c8e94b64e23bf7b2083309", size = 2199125, upload-time = "2026-03-09T13:13:11.841Z" }, + { url = "https://files.pythonhosted.org/packages/e5/7b/abbe0f1b5afa85f8d084b73e90e5f801c0939eba16ac2e49af7c61a6c28d/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b7d335370ae48a780c6e6a6bbfa97342f563744c39c35562f3f367665f5c1de2", size = 2293783, upload-time = "2026-03-09T13:13:14.399Z" }, + { url = "https://files.pythonhosted.org/packages/8a/80/5908ae149d96d81580d604c7f8aefd0e98f4fd728cf172f477e9f2a81744/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:800ee55980c18545af444d93fdd60c56b580db5cc54867d8cbf8a1dc0829938c", size = 1960726, upload-time = "2026-03-09T13:13:16.047Z" }, + { url = "https://files.pythonhosted.org/packages/84/08/a78cb776f8c085b7143142ce479859cfec086bd09ee638a317040b6ef420/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c438f6ca858697c9ab67eb28246c92508af972e114cac34e57a6d4ba17a3ac08", size = 2464738, upload-time = "2026-03-09T13:13:17.897Z" }, + { url = "https://files.pythonhosted.org/packages/b1/e1/65584da5356ed6cb12c63791a10b208860ac40a83de165cb6a6751a686e3/kiwisolver-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:8c63c91f95173f9c2a67c7c526b2cea976828a0e7fced9cdcead2802dc10f8a4", size = 2270718, upload-time = "2026-03-09T13:13:19.421Z" }, + { url = "https://files.pythonhosted.org/packages/be/6c/28f17390b62b8f2f520e2915095b3c94d88681ecf0041e75389d9667f202/kiwisolver-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:beb7f344487cdcb9e1efe4b7a29681b74d34c08f0043a327a74da852a6749e7b", size = 73480, upload-time = "2026-03-09T13:13:20.818Z" }, + { url = "https://files.pythonhosted.org/packages/d8/0e/2ee5debc4f77a625778fec5501ff3e8036fe361b7ee28ae402a485bb9694/kiwisolver-1.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:ad4ae4ffd1ee9cd11357b4c66b612da9888f4f4daf2f36995eda64bd45370cac", size = 64930, upload-time = "2026-03-09T13:13:21.997Z" }, + { url = "https://files.pythonhosted.org/packages/4d/b2/818b74ebea34dabe6d0c51cb1c572e046730e64844da6ed646d5298c40ce/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4e9750bc21b886308024f8a54ccb9a2cc38ac9fa813bf4348434e3d54f337ff9", size = 123158, upload-time = "2026-03-09T13:13:23.127Z" }, + { url = "https://files.pythonhosted.org/packages/bf/d9/405320f8077e8e1c5c4bd6adc45e1e6edf6d727b6da7f2e2533cf58bff71/kiwisolver-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:72ec46b7eba5b395e0a7b63025490d3214c11013f4aacb4f5e8d6c3041829588", size = 66388, upload-time = "2026-03-09T13:13:24.765Z" }, + { url = "https://files.pythonhosted.org/packages/99/9f/795fedf35634f746151ca8839d05681ceb6287fbed6cc1c9bf235f7887c2/kiwisolver-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ed3a984b31da7481b103f68776f7128a89ef26ed40f4dc41a2223cda7fb24819", size = 64068, upload-time = "2026-03-09T13:13:25.878Z" }, + { url = "https://files.pythonhosted.org/packages/c4/13/680c54afe3e65767bed7ec1a15571e1a2f1257128733851ade24abcefbcc/kiwisolver-1.5.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bb5136fb5352d3f422df33f0c879a1b0c204004324150cc3b5e3c4f310c9049f", size = 1477934, upload-time = "2026-03-09T13:13:27.166Z" }, + { url = "https://files.pythonhosted.org/packages/c8/2f/cebfcdb60fd6a9b0f6b47a9337198bcbad6fbe15e68189b7011fd914911f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2af221f268f5af85e776a73d62b0845fc8baf8ef0abfae79d29c77d0e776aaf", size = 1278537, upload-time = "2026-03-09T13:13:28.707Z" }, + { url = "https://files.pythonhosted.org/packages/f2/0d/9b782923aada3fafb1d6b84e13121954515c669b18af0c26e7d21f579855/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b0f172dc8ffaccb8522d7c5d899de00133f2f1ca7b0a49b7da98e901de87bf2d", size = 1296685, upload-time = "2026-03-09T13:13:30.528Z" }, + { url = "https://files.pythonhosted.org/packages/27/70/83241b6634b04fe44e892688d5208332bde130f38e610c0418f9ede47ded/kiwisolver-1.5.0-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6ab8ba9152203feec73758dad83af9a0bbe05001eb4639e547207c40cfb52083", size = 1346024, upload-time = "2026-03-09T13:13:32.818Z" }, + { url = "https://files.pythonhosted.org/packages/e4/db/30ed226fb271ae1a6431fc0fe0edffb2efe23cadb01e798caeb9f2ceae8f/kiwisolver-1.5.0-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:cdee07c4d7f6d72008d3f73b9bf027f4e11550224c7c50d8df1ae4a37c1402a6", size = 987241, upload-time = "2026-03-09T13:13:34.435Z" }, + { url = "https://files.pythonhosted.org/packages/ec/bd/c314595208e4c9587652d50959ead9e461995389664e490f4dce7ff0f782/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7c60d3c9b06fb23bd9c6139281ccbdc384297579ae037f08ae90c69f6845c0b1", size = 2227742, upload-time = "2026-03-09T13:13:36.4Z" }, + { url = "https://files.pythonhosted.org/packages/c1/43/0499cec932d935229b5543d073c2b87c9c22846aab48881e9d8d6e742a2d/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e315e5ec90d88e140f57696ff85b484ff68bb311e36f2c414aa4286293e6dee0", size = 2323966, upload-time = "2026-03-09T13:13:38.204Z" }, + { url = "https://files.pythonhosted.org/packages/3d/6f/79b0d760907965acfd9d61826a3d41f8f093c538f55cd2633d3f0db269f6/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:1465387ac63576c3e125e5337a6892b9e99e0627d52317f3ca79e6930d889d15", size = 1977417, upload-time = "2026-03-09T13:13:39.966Z" }, + { url = "https://files.pythonhosted.org/packages/ab/31/01d0537c41cb75a551a438c3c7a80d0c60d60b81f694dac83dd436aec0d0/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:530a3fd64c87cffa844d4b6b9768774763d9caa299e9b75d8eca6a4423b31314", size = 2491238, upload-time = "2026-03-09T13:13:41.698Z" }, + { url = "https://files.pythonhosted.org/packages/e4/34/8aefdd0be9cfd00a44509251ba864f5caf2991e36772e61c408007e7f417/kiwisolver-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1d9daea4ea6b9be74fe2f01f7fbade8d6ffab263e781274cffca0dba9be9eec9", size = 2294947, upload-time = "2026-03-09T13:13:43.343Z" }, + { url = "https://files.pythonhosted.org/packages/ad/cf/0348374369ca588f8fe9c338fae49fa4e16eeb10ffb3d012f23a54578a9e/kiwisolver-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:f18c2d9782259a6dc132fdc7a63c168cbc74b35284b6d75c673958982a378384", size = 73569, upload-time = "2026-03-09T13:13:45.792Z" }, + { url = "https://files.pythonhosted.org/packages/28/26/192b26196e2316e2bd29deef67e37cdf9870d9af8e085e521afff0fed526/kiwisolver-1.5.0-cp312-cp312-win_arm64.whl", hash = "sha256:f7c7553b13f69c1b29a5bde08ddc6d9d0c8bfb84f9ed01c30db25944aeb852a7", size = 64997, upload-time = "2026-03-09T13:13:46.878Z" }, + { url = "https://files.pythonhosted.org/packages/9d/69/024d6711d5ba575aa65d5538042e99964104e97fa153a9f10bc369182bc2/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:fd40bb9cd0891c4c3cb1ddf83f8bbfa15731a248fdc8162669405451e2724b09", size = 123166, upload-time = "2026-03-09T13:13:48.032Z" }, + { url = "https://files.pythonhosted.org/packages/ce/48/adbb40df306f587054a348831220812b9b1d787aff714cfbc8556e38fccd/kiwisolver-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c0e1403fd7c26d77c1f03e096dc58a5c726503fa0db0456678b8668f76f521e3", size = 66395, upload-time = "2026-03-09T13:13:49.365Z" }, + { url = "https://files.pythonhosted.org/packages/a8/3a/d0a972b34e1c63e2409413104216cd1caa02c5a37cb668d1687d466c1c45/kiwisolver-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:dda366d548e89a90d88a86c692377d18d8bd64b39c1fb2b92cb31370e2896bbd", size = 64065, upload-time = "2026-03-09T13:13:50.562Z" }, + { url = "https://files.pythonhosted.org/packages/2b/0a/7b98e1e119878a27ba8618ca1e18b14f992ff1eda40f47bccccf4de44121/kiwisolver-1.5.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:332b4f0145c30b5f5ad9374881133e5aa64320428a57c2c2b61e9d891a51c2f3", size = 1477903, upload-time = "2026-03-09T13:13:52.084Z" }, + { url = "https://files.pythonhosted.org/packages/18/d8/55638d89ffd27799d5cc3d8aa28e12f4ce7a64d67b285114dbedc8ea4136/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0c50b89ffd3e1a911c69a1dd3de7173c0cd10b130f56222e57898683841e4f96", size = 1278751, upload-time = "2026-03-09T13:13:54.673Z" }, + { url = "https://files.pythonhosted.org/packages/b8/97/b4c8d0d18421ecceba20ad8701358453b88e32414e6f6950b5a4bad54e65/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:4db576bb8c3ef9365f8b40fe0f671644de6736ae2c27a2c62d7d8a1b4329f099", size = 1296793, upload-time = "2026-03-09T13:13:56.287Z" }, + { url = "https://files.pythonhosted.org/packages/c4/10/f862f94b6389d8957448ec9df59450b81bec4abb318805375c401a1e6892/kiwisolver-1.5.0-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0b85aad90cea8ac6797a53b5d5f2e967334fa4d1149f031c4537569972596cb8", size = 1346041, upload-time = "2026-03-09T13:13:58.269Z" }, + { url = "https://files.pythonhosted.org/packages/a3/6a/f1650af35821eaf09de398ec0bc2aefc8f211f0cda50204c9f1673741ba9/kiwisolver-1.5.0-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:d36ca54cb4c6c4686f7cbb7b817f66f5911c12ddb519450bbe86707155028f87", size = 987292, upload-time = "2026-03-09T13:13:59.871Z" }, + { url = "https://files.pythonhosted.org/packages/de/19/d7fb82984b9238115fe629c915007be608ebd23dc8629703d917dbfaffd4/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:38f4a703656f493b0ad185211ccfca7f0386120f022066b018eb5296d8613e23", size = 2227865, upload-time = "2026-03-09T13:14:01.401Z" }, + { url = "https://files.pythonhosted.org/packages/7f/b9/46b7f386589fd222dac9e9de9c956ce5bcefe2ee73b4e79891381dda8654/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3ac2360e93cb41be81121755c6462cff3beaa9967188c866e5fce5cf13170859", size = 2324369, upload-time = "2026-03-09T13:14:02.972Z" }, + { url = "https://files.pythonhosted.org/packages/92/8b/95e237cf3d9c642960153c769ddcbe278f182c8affb20cecc1cc983e7cc5/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:c95cab08d1965db3d84a121f1c7ce7479bdd4072c9b3dafd8fecce48a2e6b902", size = 1977989, upload-time = "2026-03-09T13:14:04.503Z" }, + { url = "https://files.pythonhosted.org/packages/1b/95/980c9df53501892784997820136c01f62bc1865e31b82b9560f980c0e649/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:fc20894c3d21194d8041a28b65622d5b86db786da6e3cfe73f0c762951a61167", size = 2491645, upload-time = "2026-03-09T13:14:06.106Z" }, + { url = "https://files.pythonhosted.org/packages/cb/32/900647fd0840abebe1561792c6b31e6a7c0e278fc3973d30572a965ca14c/kiwisolver-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7a32f72973f0f950c1920475d5c5ea3d971b81b6f0ec53b8d0a956cc965f22e0", size = 2295237, upload-time = "2026-03-09T13:14:08.891Z" }, + { url = "https://files.pythonhosted.org/packages/be/8a/be60e3bbcf513cc5a50f4a3e88e1dcecebb79c1ad607a7222877becaa101/kiwisolver-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:0bf3acf1419fa93064a4c2189ac0b58e3be7872bf6ee6177b0d4c63dc4cea276", size = 73573, upload-time = "2026-03-09T13:14:12.327Z" }, + { url = "https://files.pythonhosted.org/packages/4d/d2/64be2e429eb4fca7f7e1c52a91b12663aeaf25de3895e5cca0f47ef2a8d0/kiwisolver-1.5.0-cp313-cp313-win_arm64.whl", hash = "sha256:fa8eb9ecdb7efb0b226acec134e0d709e87a909fa4971a54c0c4f6e88635484c", size = 64998, upload-time = "2026-03-09T13:14:13.469Z" }, + { url = "https://files.pythonhosted.org/packages/b0/69/ce68dd0c85755ae2de490bf015b62f2cea5f6b14ff00a463f9d0774449ff/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:db485b3847d182b908b483b2ed133c66d88d49cacf98fd278fadafe11b4478d1", size = 125700, upload-time = "2026-03-09T13:14:14.636Z" }, + { url = "https://files.pythonhosted.org/packages/74/aa/937aac021cf9d4349990d47eb319309a51355ed1dbdc9c077cdc9224cb11/kiwisolver-1.5.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:be12f931839a3bdfe28b584db0e640a65a8bcbc24560ae3fdb025a449b3d754e", size = 67537, upload-time = "2026-03-09T13:14:15.808Z" }, + { url = "https://files.pythonhosted.org/packages/ee/20/3a87fbece2c40ad0f6f0aefa93542559159c5f99831d596050e8afae7a9f/kiwisolver-1.5.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:16b85d37c2cbb3253226d26e64663f755d88a03439a9c47df6246b35defbdfb7", size = 65514, upload-time = "2026-03-09T13:14:18.035Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7f/f943879cda9007c45e1f7dba216d705c3a18d6b35830e488b6c6a4e7cdf0/kiwisolver-1.5.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4432b835675f0ea7414aab3d37d119f7226d24869b7a829caeab49ebda407b0c", size = 1584848, upload-time = "2026-03-09T13:14:19.745Z" }, + { url = "https://files.pythonhosted.org/packages/37/f8/4d4f85cc1870c127c88d950913370dd76138482161cd07eabbc450deff01/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b0feb50971481a2cc44d94e88bdb02cdd497618252ae226b8eb1201b957e368", size = 1391542, upload-time = "2026-03-09T13:14:21.54Z" }, + { url = "https://files.pythonhosted.org/packages/04/0b/65dd2916c84d252b244bd405303220f729e7c17c9d7d33dca6feeff9ffc4/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:56fa888f10d0f367155e76ce849fa1166fc9730d13bd2d65a2aa13b6f5424489", size = 1404447, upload-time = "2026-03-09T13:14:23.205Z" }, + { url = "https://files.pythonhosted.org/packages/39/5c/2606a373247babce9b1d056c03a04b65f3cf5290a8eac5d7bdead0a17e21/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:940dda65d5e764406b9fb92761cbf462e4e63f712ab60ed98f70552e496f3bf1", size = 1455918, upload-time = "2026-03-09T13:14:24.74Z" }, + { url = "https://files.pythonhosted.org/packages/d5/d1/c6078b5756670658e9192a2ef11e939c92918833d2745f85cd14a6004bdf/kiwisolver-1.5.0-cp313-cp313t-manylinux_2_39_riscv64.whl", hash = "sha256:89fc958c702ee9a745e4700378f5d23fddbc46ff89e8fdbf5395c24d5c1452a3", size = 1072856, upload-time = "2026-03-09T13:14:26.597Z" }, + { url = "https://files.pythonhosted.org/packages/cb/c8/7def6ddf16eb2b3741d8b172bdaa9af882b03c78e9b0772975408801fa63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9027d773c4ff81487181a925945743413f6069634d0b122d0b37684ccf4f1e18", size = 2333580, upload-time = "2026-03-09T13:14:28.237Z" }, + { url = "https://files.pythonhosted.org/packages/9e/87/2ac1fce0eb1e616fcd3c35caa23e665e9b1948bb984f4764790924594128/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:5b233ea3e165e43e35dba1d2b8ecc21cf070b45b65ae17dd2747d2713d942021", size = 2423018, upload-time = "2026-03-09T13:14:30.018Z" }, + { url = "https://files.pythonhosted.org/packages/67/13/c6700ccc6cc218716bfcda4935e4b2997039869b4ad8a94f364c5a3b8e63/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:ce9bf03dad3b46408c08649c6fbd6ca28a9fce0eb32fdfffa6775a13103b5310", size = 2062804, upload-time = "2026-03-09T13:14:32.888Z" }, + { url = "https://files.pythonhosted.org/packages/1b/bd/877056304626943ff0f1f44c08f584300c199b887cb3176cd7e34f1515f1/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:fc4d3f1fb9ca0ae9f97b095963bc6326f1dbfd3779d6679a1e016b9baaa153d3", size = 2597482, upload-time = "2026-03-09T13:14:34.971Z" }, + { url = "https://files.pythonhosted.org/packages/75/19/c60626c47bf0f8ac5dcf72c6c98e266d714f2fbbfd50cf6dab5ede3aaa50/kiwisolver-1.5.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f443b4825c50a51ee68585522ab4a1d1257fac65896f282b4c6763337ac9f5d2", size = 2394328, upload-time = "2026-03-09T13:14:36.816Z" }, + { url = "https://files.pythonhosted.org/packages/47/84/6a6d5e5bb8273756c27b7d810d47f7ef2f1f9b9fd23c9ee9a3f8c75c9cef/kiwisolver-1.5.0-cp313-cp313t-win_arm64.whl", hash = "sha256:893ff3a711d1b515ba9da14ee090519bad4610ed1962fbe298a434e8c5f8db53", size = 68410, upload-time = "2026-03-09T13:14:38.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/060f45052f2a01ad5762c8fdecd6d7a752b43400dc29ff75cd47225a40fd/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8df31fe574b8b3993cc61764f40941111b25c2d9fea13d3ce24a49907cd2d615", size = 123231, upload-time = "2026-03-09T13:14:41.323Z" }, + { url = "https://files.pythonhosted.org/packages/c2/a7/78da680eadd06ff35edef6ef68a1ad273bad3e2a0936c9a885103230aece/kiwisolver-1.5.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:1d49a49ac4cbfb7c1375301cd1ec90169dfeae55ff84710d782260ce77a75a02", size = 66489, upload-time = "2026-03-09T13:14:42.534Z" }, + { url = "https://files.pythonhosted.org/packages/49/b2/97980f3ad4fae37dd7fe31626e2bf75fbf8bdf5d303950ec1fab39a12da8/kiwisolver-1.5.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:0cbe94b69b819209a62cb27bdfa5dc2a8977d8de2f89dfd97ba4f53ed3af754e", size = 64063, upload-time = "2026-03-09T13:14:44.759Z" }, + { url = "https://files.pythonhosted.org/packages/e7/f9/b06c934a6aa8bc91f566bd2a214fd04c30506c2d9e2b6b171953216a65b6/kiwisolver-1.5.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:80aa065ffd378ff784822a6d7c3212f2d5f5e9c3589614b5c228b311fd3063ac", size = 1475913, upload-time = "2026-03-09T13:14:46.247Z" }, + { url = "https://files.pythonhosted.org/packages/6b/f0/f768ae564a710135630672981231320bc403cf9152b5596ec5289de0f106/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e7f886f47ab881692f278ae901039a234e4025a68e6dfab514263a0b1c4ae05", size = 1282782, upload-time = "2026-03-09T13:14:48.458Z" }, + { url = "https://files.pythonhosted.org/packages/e2/9f/1de7aad00697325f05238a5f2eafbd487fb637cc27a558b5367a5f37fb7f/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:5060731cc3ed12ca3a8b57acd4aeca5bbc2f49216dd0bec1650a1acd89486bcd", size = 1300815, upload-time = "2026-03-09T13:14:50.721Z" }, + { url = "https://files.pythonhosted.org/packages/5a/c2/297f25141d2e468e0ce7f7a7b92e0cf8918143a0cbd3422c1ad627e85a06/kiwisolver-1.5.0-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:7a4aa69609f40fce3cbc3f87b2061f042eee32f94b8f11db707b66a26461591a", size = 1347925, upload-time = "2026-03-09T13:14:52.304Z" }, + { url = "https://files.pythonhosted.org/packages/b9/d3/f4c73a02eb41520c47610207b21afa8cdd18fdbf64ffd94674ae21c4812d/kiwisolver-1.5.0-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:d168fda2dbff7b9b5f38e693182d792a938c31db4dac3a80a4888de603c99554", size = 991322, upload-time = "2026-03-09T13:14:54.637Z" }, + { url = "https://files.pythonhosted.org/packages/7b/46/d3f2efef7732fcda98d22bf4ad5d3d71d545167a852ca710a494f4c15343/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:413b820229730d358efd838ecbab79902fe97094565fdc80ddb6b0a18c18a581", size = 2232857, upload-time = "2026-03-09T13:14:56.471Z" }, + { url = "https://files.pythonhosted.org/packages/3f/ec/2d9756bf2b6d26ae4349b8d3662fb3993f16d80c1f971c179ce862b9dbae/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:5124d1ea754509b09e53738ec185584cc609aae4a3b510aaf4ed6aa047ef9303", size = 2329376, upload-time = "2026-03-09T13:14:58.072Z" }, + { url = "https://files.pythonhosted.org/packages/8f/9f/876a0a0f2260f1bde92e002b3019a5fabc35e0939c7d945e0fa66185eb20/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:e4415a8db000bf49a6dd1c478bf70062eaacff0f462b92b0ba68791a905861f9", size = 1982549, upload-time = "2026-03-09T13:14:59.668Z" }, + { url = "https://files.pythonhosted.org/packages/6c/4f/ba3624dfac23a64d54ac4179832860cb537c1b0af06024936e82ca4154a0/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:d618fd27420381a4f6044faa71f46d8bfd911bd077c555f7138ed88729bfbe79", size = 2494680, upload-time = "2026-03-09T13:15:01.364Z" }, + { url = "https://files.pythonhosted.org/packages/39/b7/97716b190ab98911b20d10bf92eca469121ec483b8ce0edd314f51bc85af/kiwisolver-1.5.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5092eb5b1172947f57d6ea7d89b2f29650414e4293c47707eb499ec07a0ac796", size = 2297905, upload-time = "2026-03-09T13:15:03.925Z" }, + { url = "https://files.pythonhosted.org/packages/a3/36/4e551e8aa55c9188bca9abb5096805edbf7431072b76e2298e34fd3a3008/kiwisolver-1.5.0-cp314-cp314-win_amd64.whl", hash = "sha256:d76e2d8c75051d58177e762164d2e9ab92886534e3a12e795f103524f221dd8e", size = 75086, upload-time = "2026-03-09T13:15:07.775Z" }, + { url = "https://files.pythonhosted.org/packages/70/15/9b90f7df0e31a003c71649cf66ef61c3c1b862f48c81007fa2383c8bd8d7/kiwisolver-1.5.0-cp314-cp314-win_arm64.whl", hash = "sha256:fa6248cd194edff41d7ea9425ced8ca3a6f838bfb295f6f1d6e6bb694a8518df", size = 66577, upload-time = "2026-03-09T13:15:09.139Z" }, + { url = "https://files.pythonhosted.org/packages/17/01/7dc8c5443ff42b38e72731643ed7cf1ed9bf01691ae5cdca98501999ed83/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:d1ffeb80b5676463d7a7d56acbe8e37a20ce725570e09549fe738e02ca6b7e1e", size = 125794, upload-time = "2026-03-09T13:15:10.525Z" }, + { url = "https://files.pythonhosted.org/packages/46/8a/b4ebe46ebaac6a303417fab10c2e165c557ddaff558f9699d302b256bc53/kiwisolver-1.5.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:bc4d8e252f532ab46a1de9349e2d27b91fce46736a9eedaa37beaca66f574ed4", size = 67646, upload-time = "2026-03-09T13:15:12.016Z" }, + { url = "https://files.pythonhosted.org/packages/60/35/10a844afc5f19d6f567359bf4789e26661755a2f36200d5d1ed8ad0126e5/kiwisolver-1.5.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:6783e069732715ad0c3ce96dbf21dbc2235ab0593f2baf6338101f70371f4028", size = 65511, upload-time = "2026-03-09T13:15:13.311Z" }, + { url = "https://files.pythonhosted.org/packages/f8/8a/685b297052dd041dcebce8e8787b58923b6e78acc6115a0dc9189011c44b/kiwisolver-1.5.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e7c4c09a490dc4d4a7f8cbee56c606a320f9dc28cf92a7157a39d1ce7676a657", size = 1584858, upload-time = "2026-03-09T13:15:15.103Z" }, + { url = "https://files.pythonhosted.org/packages/9e/80/04865e3d4638ac5bddec28908916df4a3075b8c6cc101786a96803188b96/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2a075bd7bd19c70cf67c8badfa36cf7c5d8de3c9ddb8420c51e10d9c50e94920", size = 1392539, upload-time = "2026-03-09T13:15:16.661Z" }, + { url = "https://files.pythonhosted.org/packages/ba/01/77a19cacc0893fa13fafa46d1bba06fb4dc2360b3292baf4b56d8e067b24/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:bdd3e53429ff02aa319ba59dfe4ceeec345bf46cf180ec2cf6fd5b942e7975e9", size = 1405310, upload-time = "2026-03-09T13:15:18.229Z" }, + { url = "https://files.pythonhosted.org/packages/53/39/bcaf5d0cca50e604cfa9b4e3ae1d64b50ca1ae5b754122396084599ef903/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:3cdcb35dc9d807259c981a85531048ede628eabcffb3239adf3d17463518992d", size = 1456244, upload-time = "2026-03-09T13:15:20.444Z" }, + { url = "https://files.pythonhosted.org/packages/d0/7a/72c187abc6975f6978c3e39b7cf67aeb8b3c0a8f9790aa7fd412855e9e1f/kiwisolver-1.5.0-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:70d593af6a6ca332d1df73d519fddb5148edb15cd90d5f0155e3746a6d4fcc65", size = 1073154, upload-time = "2026-03-09T13:15:22.039Z" }, + { url = "https://files.pythonhosted.org/packages/c7/ca/cf5b25783ebbd59143b4371ed0c8428a278abe68d6d0104b01865b1bbd0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:377815a8616074cabbf3f53354e1d040c35815a134e01d7614b7692e4bf8acfa", size = 2334377, upload-time = "2026-03-09T13:15:23.741Z" }, + { url = "https://files.pythonhosted.org/packages/4a/e5/b1f492adc516796e88751282276745340e2a72dcd0d36cf7173e0daf3210/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:0255a027391d52944eae1dbb5d4cc5903f57092f3674e8e544cdd2622826b3f0", size = 2425288, upload-time = "2026-03-09T13:15:25.789Z" }, + { url = "https://files.pythonhosted.org/packages/e6/e5/9b21fbe91a61b8f409d74a26498706e97a48008bfcd1864373d32a6ba31c/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:012b1eb16e28718fa782b5e61dc6f2da1f0792ca73bd05d54de6cb9561665fc9", size = 2063158, upload-time = "2026-03-09T13:15:27.63Z" }, + { url = "https://files.pythonhosted.org/packages/b1/02/83f47986138310f95ea95531f851b2a62227c11cbc3e690ae1374fe49f0f/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:0e3aafb33aed7479377e5e9a82e9d4bf87063741fc99fc7ae48b0f16e32bdd6f", size = 2597260, upload-time = "2026-03-09T13:15:29.421Z" }, + { url = "https://files.pythonhosted.org/packages/07/18/43a5f24608d8c313dd189cf838c8e68d75b115567c6279de7796197cfb6a/kiwisolver-1.5.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e7a116ae737f0000343218c4edf5bd45893bfeaff0993c0b215d7124c9f77646", size = 2394403, upload-time = "2026-03-09T13:15:31.517Z" }, + { url = "https://files.pythonhosted.org/packages/3b/b5/98222136d839b8afabcaa943b09bd05888c2d36355b7e448550211d1fca4/kiwisolver-1.5.0-cp314-cp314t-win_amd64.whl", hash = "sha256:1dd9b0b119a350976a6d781e7278ec7aca0b201e1a9e2d23d9804afecb6ca681", size = 79687, upload-time = "2026-03-09T13:15:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/99/a2/ca7dc962848040befed12732dff6acae7fb3c4f6fc4272b3f6c9a30b8713/kiwisolver-1.5.0-cp314-cp314t-win_arm64.whl", hash = "sha256:58f812017cd2985c21fbffb4864d59174d4903dd66fa23815e74bbc7a0e2dd57", size = 70032, upload-time = "2026-03-09T13:15:34.411Z" }, + { url = "https://files.pythonhosted.org/packages/1c/fa/2910df836372d8761bb6eff7d8bdcb1613b5c2e03f260efe7abe34d388a7/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_10_13_x86_64.whl", hash = "sha256:5ae8e62c147495b01a0f4765c878e9bfdf843412446a247e28df59936e99e797", size = 130262, upload-time = "2026-03-09T13:15:35.629Z" }, + { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" }, + { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" }, + { url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" }, + { url = "https://files.pythonhosted.org/packages/17/6f/6fd4f690a40c2582fa34b97d2678f718acf3706b91d270c65ecb455d0a06/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4", size = 59606, upload-time = "2026-03-09T13:15:40.81Z" }, + { url = "https://files.pythonhosted.org/packages/82/a0/2355d5e3b338f13ce63f361abb181e3b6ea5fffdb73f739b3e80efa76159/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:51e8c4084897de9f05898c2c2a39af6318044ae969d46ff7a34ed3f96274adca", size = 57537, upload-time = "2026-03-09T13:15:42.071Z" }, + { url = "https://files.pythonhosted.org/packages/c8/b9/1d50e610ecadebe205b71d6728fd224ce0e0ca6aba7b9cbe1da049203ac5/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b83af57bdddef03c01a9138034c6ff03181a3028d9a1003b301eb1a55e161a3f", size = 79888, upload-time = "2026-03-09T13:15:43.317Z" }, + { url = "https://files.pythonhosted.org/packages/cd/ee/b85ffcd75afed0357d74f0e6fc02a4507da441165de1ca4760b9f496390d/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf4679a3d71012a7c2bf360e5cd878fbd5e4fcac0896b56393dec239d81529ed", size = 77584, upload-time = "2026-03-09T13:15:44.605Z" }, + { url = "https://files.pythonhosted.org/packages/6b/dd/644d0dde6010a8583b4cd66dd41c5f83f5325464d15c4f490b3340ab73b4/kiwisolver-1.5.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:41024ed50e44ab1a60d3fe0a9d15a4ccc9f5f2b1d814ff283c8d01134d5b81bc", size = 73390, upload-time = "2026-03-09T13:15:45.832Z" }, + { url = "https://files.pythonhosted.org/packages/e9/eb/5fcbbbf9a0e2c3a35effb88831a483345326bbc3a030a3b5b69aee647f84/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232", size = 59532, upload-time = "2026-03-09T13:15:47.047Z" }, + { url = "https://files.pythonhosted.org/packages/c3/9b/e17104555bb4db148fd52327feea1e96be4b88e8e008b029002c281a21ab/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a", size = 57420, upload-time = "2026-03-09T13:15:48.199Z" }, + { url = "https://files.pythonhosted.org/packages/48/44/2b5b95b7aa39fb2d8d9d956e0f3d5d45aef2ae1d942d4c3ffac2f9cfed1a/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737", size = 79892, upload-time = "2026-03-09T13:15:49.694Z" }, + { url = "https://files.pythonhosted.org/packages/52/7d/7157f9bba6b455cfb4632ed411e199fc8b8977642c2b12082e1bd9e6d173/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:daae526907e262de627d8f70058a0f64acc9e2641c164c99c8f594b34a799a16", size = 77603, upload-time = "2026-03-09T13:15:50.945Z" }, + { url = "https://files.pythonhosted.org/packages/0a/dd/8050c947d435c8d4bc94e3252f4d8bb8a76cfb424f043a8680be637a57f1/kiwisolver-1.5.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:59cd8683f575d96df5bb48f6add94afc055012c29e28124fcae2b63661b9efb1", size = 73558, upload-time = "2026-03-09T13:15:52.112Z" }, +] + +[[package]] +name = "lark" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/da/34/28fff3ab31ccff1fd4f6c7c7b0ceb2b6968d8ea4950663eadcb5720591a0/lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905", size = 382732, upload-time = "2025-10-27T18:25:56.653Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/3d/14ce75ef66813643812f3093ab17e46d3a206942ce7376d31ec2d36229e7/lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12", size = 113151, upload-time = "2025-10-27T18:25:54.882Z" }, +] + +[[package]] +name = "lazy-loader" +version = "0.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "packaging" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/49/ac/21a1f8aa3777f5658576777ea76bfb124b702c520bbe90edf4ae9915eafa/lazy_loader-0.5.tar.gz", hash = "sha256:717f9179a0dbed357012ddad50a5ad3d5e4d9a0b8712680d4e687f5e6e6ed9b3", size = 15294, upload-time = "2026-03-06T15:45:09.054Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8a/a1/8d812e53a5da1687abb10445275d41a8b13adb781bbf7196ddbcf8d88505/lazy_loader-0.5-py3-none-any.whl", hash = "sha256:ab0ea149e9c554d4ffeeb21105ac60bed7f3b4fd69b1d2360a4add51b170b005", size = 8044, upload-time = "2026-03-06T15:45:07.668Z" }, +] + +[[package]] +name = "linkify-it-py" +version = "2.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "uc-micro-py" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2e/c9/06ea13676ef354f0af6169587ae292d3e2406e212876a413bf9eece4eb23/linkify_it_py-2.1.0.tar.gz", hash = "sha256:43360231720999c10e9328dc3691160e27a718e280673d444c38d7d3aaa3b98b", size = 29158, upload-time = "2026-03-01T07:48:47.683Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b4/de/88b3be5c31b22333b3ca2f6ff1de4e863d8fe45aaea7485f591970ec1d3e/linkify_it_py-2.1.0-py3-none-any.whl", hash = "sha256:0d252c1594ecba2ecedc444053db5d3a9b7ec1b0dd929c8f1d74dce89f86c05e", size = 19878, upload-time = "2026-03-01T07:48:46.098Z" }, +] + +[[package]] +name = "livereload" +version = "2.7.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/43/6e/f2748665839812a9bbe5c75d3f983edbf3ab05fa5cd2f7c2f36fffdf65bd/livereload-2.7.1.tar.gz", hash = "sha256:3d9bf7c05673df06e32bea23b494b8d36ca6d10f7d5c3c8a6989608c09c986a9", size = 22255, upload-time = "2024-12-18T13:42:01.461Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e4/3e/de54dc7f199e85e6ca37e2e5dae2ec3bce2151e9e28f8eb9076d71e83d56/livereload-2.7.1-py3-none-any.whl", hash = "sha256:5201740078c1b9433f4b2ba22cd2729a39b9d0ec0a2cc6b4d3df257df5ad0564", size = 22657, upload-time = "2024-12-18T13:41:56.35Z" }, +] + +[[package]] +name = "llvmlite" +version = "0.46.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/74/cd/08ae687ba099c7e3d21fe2ea536500563ef1943c5105bf6ab4ee3829f68e/llvmlite-0.46.0.tar.gz", hash = "sha256:227c9fd6d09dce2783c18b754b7cd9d9b3b3515210c46acc2d3c5badd9870ceb", size = 193456, upload-time = "2025-12-08T18:15:36.295Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/a4/3959e1c61c5ca9db7921e5fd115b344c29b9d57a5dadd87bef97963ca1a5/llvmlite-0.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4323177e936d61ae0f73e653e2e614284d97d14d5dd12579adc92b6c2b0597b0", size = 37232766, upload-time = "2025-12-08T18:14:34.765Z" }, + { url = "https://files.pythonhosted.org/packages/c2/a5/a4d916f1015106e1da876028606a8e87fd5d5c840f98c87bc2d5153b6a2f/llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a2d461cb89537b7c20feb04c46c32e12d5ad4f0896c9dfc0f60336219ff248e", size = 56275176, upload-time = "2025-12-08T18:14:37.944Z" }, + { url = "https://files.pythonhosted.org/packages/79/7f/a7f2028805dac8c1a6fae7bda4e739b7ebbcd45b29e15bf6d21556fcd3d5/llvmlite-0.46.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b1f6595a35b7b39c3518b85a28bf18f45e075264e4b2dce3f0c2a4f232b4a910", size = 55128629, upload-time = "2025-12-08T18:14:41.674Z" }, + { url = "https://files.pythonhosted.org/packages/b2/bc/4689e1ba0c073c196b594471eb21be0aa51d9e64b911728aa13cd85ef0ae/llvmlite-0.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:e7a34d4aa6f9a97ee006b504be6d2b8cb7f755b80ab2f344dda1ef992f828559", size = 38138651, upload-time = "2025-12-08T18:14:45.845Z" }, + { url = "https://files.pythonhosted.org/packages/7a/a1/2ad4b2367915faeebe8447f0a057861f646dbf5fbbb3561db42c65659cf3/llvmlite-0.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82f3d39b16f19aa1a56d5fe625883a6ab600d5cc9ea8906cca70ce94cabba067", size = 37232766, upload-time = "2025-12-08T18:14:48.836Z" }, + { url = "https://files.pythonhosted.org/packages/12/b5/99cf8772fdd846c07da4fd70f07812a3c8fd17ea2409522c946bb0f2b277/llvmlite-0.46.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3df43900119803bbc52720e758c76f316a9a0f34612a886862dfe0a5591a17e", size = 56275175, upload-time = "2025-12-08T18:14:51.604Z" }, + { url = "https://files.pythonhosted.org/packages/38/f2/ed806f9c003563732da156139c45d970ee435bd0bfa5ed8de87ba972b452/llvmlite-0.46.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de183fefc8022d21b0aa37fc3e90410bc3524aed8617f0ff76732fc6c3af5361", size = 55128630, upload-time = "2025-12-08T18:14:55.107Z" }, + { url = "https://files.pythonhosted.org/packages/19/0c/8f5a37a65fc9b7b17408508145edd5f86263ad69c19d3574e818f533a0eb/llvmlite-0.46.0-cp311-cp311-win_amd64.whl", hash = "sha256:e8b10bc585c58bdffec9e0c309bb7d51be1f2f15e169a4b4d42f2389e431eb93", size = 38138652, upload-time = "2025-12-08T18:14:58.171Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f8/4db016a5e547d4e054ff2f3b99203d63a497465f81ab78ec8eb2ff7b2304/llvmlite-0.46.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6b9588ad4c63b4f0175a3984b85494f0c927c6b001e3a246a3a7fb3920d9a137", size = 37232767, upload-time = "2025-12-08T18:15:00.737Z" }, + { url = "https://files.pythonhosted.org/packages/aa/85/4890a7c14b4fa54400945cb52ac3cd88545bbdb973c440f98ca41591cdc5/llvmlite-0.46.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3535bd2bb6a2d7ae4012681ac228e5132cdb75fefb1bcb24e33f2f3e0c865ed4", size = 56275176, upload-time = "2025-12-08T18:15:03.936Z" }, + { url = "https://files.pythonhosted.org/packages/6a/07/3d31d39c1a1a08cd5337e78299fca77e6aebc07c059fbd0033e3edfab45c/llvmlite-0.46.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cbfd366e60ff87ea6cc62f50bc4cd800ebb13ed4c149466f50cf2163a473d1e", size = 55128630, upload-time = "2025-12-08T18:15:07.196Z" }, + { url = "https://files.pythonhosted.org/packages/2a/6b/d139535d7590a1bba1ceb68751bef22fadaa5b815bbdf0e858e3875726b2/llvmlite-0.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:398b39db462c39563a97b912d4f2866cd37cba60537975a09679b28fbbc0fb38", size = 38138940, upload-time = "2025-12-08T18:15:10.162Z" }, + { url = "https://files.pythonhosted.org/packages/e6/ff/3eba7eb0aed4b6fca37125387cd417e8c458e750621fce56d2c541f67fa8/llvmlite-0.46.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:30b60892d034bc560e0ec6654737aaa74e5ca327bd8114d82136aa071d611172", size = 37232767, upload-time = "2025-12-08T18:15:13.22Z" }, + { url = "https://files.pythonhosted.org/packages/0e/54/737755c0a91558364b9200702c3c9c15d70ed63f9b98a2c32f1c2aa1f3ba/llvmlite-0.46.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6cc19b051753368a9c9f31dc041299059ee91aceec81bd57b0e385e5d5bf1a54", size = 56275176, upload-time = "2025-12-08T18:15:16.339Z" }, + { url = "https://files.pythonhosted.org/packages/e6/91/14f32e1d70905c1c0aa4e6609ab5d705c3183116ca02ac6df2091868413a/llvmlite-0.46.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bca185892908f9ede48c0acd547fe4dc1bafefb8a4967d47db6cf664f9332d12", size = 55128629, upload-time = "2025-12-08T18:15:19.493Z" }, + { url = "https://files.pythonhosted.org/packages/4a/a7/d526ae86708cea531935ae777b6dbcabe7db52718e6401e0fb9c5edea80e/llvmlite-0.46.0-cp313-cp313-win_amd64.whl", hash = "sha256:67438fd30e12349ebb054d86a5a1a57fd5e87d264d2451bcfafbbbaa25b82a35", size = 38138941, upload-time = "2025-12-08T18:15:22.536Z" }, + { url = "https://files.pythonhosted.org/packages/95/ae/af0ffb724814cc2ea64445acad05f71cff5f799bb7efb22e47ee99340dbc/llvmlite-0.46.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:d252edfb9f4ac1fcf20652258e3f102b26b03eef738dc8a6ffdab7d7d341d547", size = 37232768, upload-time = "2025-12-08T18:15:25.055Z" }, + { url = "https://files.pythonhosted.org/packages/c9/19/5018e5352019be753b7b07f7759cdabb69ca5779fea2494be8839270df4c/llvmlite-0.46.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:379fdd1c59badeff8982cb47e4694a6143bec3bb49aa10a466e095410522064d", size = 56275173, upload-time = "2025-12-08T18:15:28.109Z" }, + { url = "https://files.pythonhosted.org/packages/9f/c9/d57877759d707e84c082163c543853245f91b70c804115a5010532890f18/llvmlite-0.46.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2e8cbfff7f6db0fa2c771ad24154e2a7e457c2444d7673e6de06b8b698c3b269", size = 55128628, upload-time = "2025-12-08T18:15:31.098Z" }, + { url = "https://files.pythonhosted.org/packages/30/a8/e61a8c2b3cc7a597073d9cde1fcbb567e9d827f1db30c93cf80422eac70d/llvmlite-0.46.0-cp314-cp314-win_amd64.whl", hash = "sha256:7821eda3ec1f18050f981819756631d60b6d7ab1a6cf806d9efefbe3f4082d61", size = 39153056, upload-time = "2025-12-08T18:15:33.938Z" }, +] + +[[package]] +name = "markdown" +version = "3.10.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2b/f4/69fa6ed85ae003c2378ffa8f6d2e3234662abd02c10d216c0ba96081a238/markdown-3.10.2.tar.gz", hash = "sha256:994d51325d25ad8aa7ce4ebaec003febcce822c3f8c911e3b17c52f7f589f950", size = 368805, upload-time = "2026-02-09T14:57:26.942Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/de/1f/77fa3081e4f66ca3576c896ae5d31c3002ac6607f9747d2e3aa49227e464/markdown-3.10.2-py3-none-any.whl", hash = "sha256:e91464b71ae3ee7afd3017d9f358ef0baf158fd9a298db92f1d4761133824c36", size = 108180, upload-time = "2026-02-09T14:57:25.787Z" }, +] + +[[package]] +name = "markdown-it-py" +version = "4.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mdurl" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5b/f5/4ec618ed16cc4f8fb3b701563655a69816155e79e24a17b651541804721d/markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3", size = 73070, upload-time = "2025-08-11T12:57:52.854Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/94/54/e7d793b573f298e1c9013b8c4dade17d481164aa517d1d7148619c2cedbf/markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147", size = 87321, upload-time = "2025-08-11T12:57:51.923Z" }, +] + +[[package]] +name = "markupsafe" +version = "3.0.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e8/4b/3541d44f3937ba468b75da9eebcae497dcf67adb65caa16760b0a6807ebb/markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559", size = 11631, upload-time = "2025-09-27T18:36:05.558Z" }, + { url = "https://files.pythonhosted.org/packages/98/1b/fbd8eed11021cabd9226c37342fa6ca4e8a98d8188a8d9b66740494960e4/markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419", size = 12057, upload-time = "2025-09-27T18:36:07.165Z" }, + { url = "https://files.pythonhosted.org/packages/40/01/e560d658dc0bb8ab762670ece35281dec7b6c1b33f5fbc09ebb57a185519/markupsafe-3.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695", size = 22050, upload-time = "2025-09-27T18:36:08.005Z" }, + { url = "https://files.pythonhosted.org/packages/af/cd/ce6e848bbf2c32314c9b237839119c5a564a59725b53157c856e90937b7a/markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591", size = 20681, upload-time = "2025-09-27T18:36:08.881Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2a/b5c12c809f1c3045c4d580b035a743d12fcde53cf685dbc44660826308da/markupsafe-3.0.3-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c", size = 20705, upload-time = "2025-09-27T18:36:10.131Z" }, + { url = "https://files.pythonhosted.org/packages/cf/e3/9427a68c82728d0a88c50f890d0fc072a1484de2f3ac1ad0bfc1a7214fd5/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f", size = 21524, upload-time = "2025-09-27T18:36:11.324Z" }, + { url = "https://files.pythonhosted.org/packages/bc/36/23578f29e9e582a4d0278e009b38081dbe363c5e7165113fad546918a232/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6", size = 20282, upload-time = "2025-09-27T18:36:12.573Z" }, + { url = "https://files.pythonhosted.org/packages/56/21/dca11354e756ebd03e036bd8ad58d6d7168c80ce1fe5e75218e4945cbab7/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1", size = 20745, upload-time = "2025-09-27T18:36:13.504Z" }, + { url = "https://files.pythonhosted.org/packages/87/99/faba9369a7ad6e4d10b6a5fbf71fa2a188fe4a593b15f0963b73859a1bbd/markupsafe-3.0.3-cp310-cp310-win32.whl", hash = "sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa", size = 14571, upload-time = "2025-09-27T18:36:14.779Z" }, + { url = "https://files.pythonhosted.org/packages/d6/25/55dc3ab959917602c96985cb1253efaa4ff42f71194bddeb61eb7278b8be/markupsafe-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8", size = 15056, upload-time = "2025-09-27T18:36:16.125Z" }, + { url = "https://files.pythonhosted.org/packages/d0/9e/0a02226640c255d1da0b8d12e24ac2aa6734da68bff14c05dd53b94a0fc3/markupsafe-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1", size = 13932, upload-time = "2025-09-27T18:36:17.311Z" }, + { url = "https://files.pythonhosted.org/packages/08/db/fefacb2136439fc8dd20e797950e749aa1f4997ed584c62cfb8ef7c2be0e/markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad", size = 11631, upload-time = "2025-09-27T18:36:18.185Z" }, + { url = "https://files.pythonhosted.org/packages/e1/2e/5898933336b61975ce9dc04decbc0a7f2fee78c30353c5efba7f2d6ff27a/markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a", size = 12058, upload-time = "2025-09-27T18:36:19.444Z" }, + { url = "https://files.pythonhosted.org/packages/1d/09/adf2df3699d87d1d8184038df46a9c80d78c0148492323f4693df54e17bb/markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50", size = 24287, upload-time = "2025-09-27T18:36:20.768Z" }, + { url = "https://files.pythonhosted.org/packages/30/ac/0273f6fcb5f42e314c6d8cd99effae6a5354604d461b8d392b5ec9530a54/markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf", size = 22940, upload-time = "2025-09-27T18:36:22.249Z" }, + { url = "https://files.pythonhosted.org/packages/19/ae/31c1be199ef767124c042c6c3e904da327a2f7f0cd63a0337e1eca2967a8/markupsafe-3.0.3-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f", size = 21887, upload-time = "2025-09-27T18:36:23.535Z" }, + { url = "https://files.pythonhosted.org/packages/b2/76/7edcab99d5349a4532a459e1fe64f0b0467a3365056ae550d3bcf3f79e1e/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a", size = 23692, upload-time = "2025-09-27T18:36:24.823Z" }, + { url = "https://files.pythonhosted.org/packages/a4/28/6e74cdd26d7514849143d69f0bf2399f929c37dc2b31e6829fd2045b2765/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115", size = 21471, upload-time = "2025-09-27T18:36:25.95Z" }, + { url = "https://files.pythonhosted.org/packages/62/7e/a145f36a5c2945673e590850a6f8014318d5577ed7e5920a4b3448e0865d/markupsafe-3.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a", size = 22923, upload-time = "2025-09-27T18:36:27.109Z" }, + { url = "https://files.pythonhosted.org/packages/0f/62/d9c46a7f5c9adbeeeda52f5b8d802e1094e9717705a645efc71b0913a0a8/markupsafe-3.0.3-cp311-cp311-win32.whl", hash = "sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19", size = 14572, upload-time = "2025-09-27T18:36:28.045Z" }, + { url = "https://files.pythonhosted.org/packages/83/8a/4414c03d3f891739326e1783338e48fb49781cc915b2e0ee052aa490d586/markupsafe-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01", size = 15077, upload-time = "2025-09-27T18:36:29.025Z" }, + { url = "https://files.pythonhosted.org/packages/35/73/893072b42e6862f319b5207adc9ae06070f095b358655f077f69a35601f0/markupsafe-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c", size = 13876, upload-time = "2025-09-27T18:36:29.954Z" }, + { url = "https://files.pythonhosted.org/packages/5a/72/147da192e38635ada20e0a2e1a51cf8823d2119ce8883f7053879c2199b5/markupsafe-3.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e", size = 11615, upload-time = "2025-09-27T18:36:30.854Z" }, + { url = "https://files.pythonhosted.org/packages/9a/81/7e4e08678a1f98521201c3079f77db69fb552acd56067661f8c2f534a718/markupsafe-3.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce", size = 12020, upload-time = "2025-09-27T18:36:31.971Z" }, + { url = "https://files.pythonhosted.org/packages/1e/2c/799f4742efc39633a1b54a92eec4082e4f815314869865d876824c257c1e/markupsafe-3.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d", size = 24332, upload-time = "2025-09-27T18:36:32.813Z" }, + { url = "https://files.pythonhosted.org/packages/3c/2e/8d0c2ab90a8c1d9a24f0399058ab8519a3279d1bd4289511d74e909f060e/markupsafe-3.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d", size = 22947, upload-time = "2025-09-27T18:36:33.86Z" }, + { url = "https://files.pythonhosted.org/packages/2c/54/887f3092a85238093a0b2154bd629c89444f395618842e8b0c41783898ea/markupsafe-3.0.3-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a", size = 21962, upload-time = "2025-09-27T18:36:35.099Z" }, + { url = "https://files.pythonhosted.org/packages/c9/2f/336b8c7b6f4a4d95e91119dc8521402461b74a485558d8f238a68312f11c/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b", size = 23760, upload-time = "2025-09-27T18:36:36.001Z" }, + { url = "https://files.pythonhosted.org/packages/32/43/67935f2b7e4982ffb50a4d169b724d74b62a3964bc1a9a527f5ac4f1ee2b/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f", size = 21529, upload-time = "2025-09-27T18:36:36.906Z" }, + { url = "https://files.pythonhosted.org/packages/89/e0/4486f11e51bbba8b0c041098859e869e304d1c261e59244baa3d295d47b7/markupsafe-3.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b", size = 23015, upload-time = "2025-09-27T18:36:37.868Z" }, + { url = "https://files.pythonhosted.org/packages/2f/e1/78ee7a023dac597a5825441ebd17170785a9dab23de95d2c7508ade94e0e/markupsafe-3.0.3-cp312-cp312-win32.whl", hash = "sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d", size = 14540, upload-time = "2025-09-27T18:36:38.761Z" }, + { url = "https://files.pythonhosted.org/packages/aa/5b/bec5aa9bbbb2c946ca2733ef9c4ca91c91b6a24580193e891b5f7dbe8e1e/markupsafe-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c", size = 15105, upload-time = "2025-09-27T18:36:39.701Z" }, + { url = "https://files.pythonhosted.org/packages/e5/f1/216fc1bbfd74011693a4fd837e7026152e89c4bcf3e77b6692fba9923123/markupsafe-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f", size = 13906, upload-time = "2025-09-27T18:36:40.689Z" }, + { url = "https://files.pythonhosted.org/packages/38/2f/907b9c7bbba283e68f20259574b13d005c121a0fa4c175f9bed27c4597ff/markupsafe-3.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795", size = 11622, upload-time = "2025-09-27T18:36:41.777Z" }, + { url = "https://files.pythonhosted.org/packages/9c/d9/5f7756922cdd676869eca1c4e3c0cd0df60ed30199ffd775e319089cb3ed/markupsafe-3.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219", size = 12029, upload-time = "2025-09-27T18:36:43.257Z" }, + { url = "https://files.pythonhosted.org/packages/00/07/575a68c754943058c78f30db02ee03a64b3c638586fba6a6dd56830b30a3/markupsafe-3.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6", size = 24374, upload-time = "2025-09-27T18:36:44.508Z" }, + { url = "https://files.pythonhosted.org/packages/a9/21/9b05698b46f218fc0e118e1f8168395c65c8a2c750ae2bab54fc4bd4e0e8/markupsafe-3.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676", size = 22980, upload-time = "2025-09-27T18:36:45.385Z" }, + { url = "https://files.pythonhosted.org/packages/7f/71/544260864f893f18b6827315b988c146b559391e6e7e8f7252839b1b846a/markupsafe-3.0.3-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9", size = 21990, upload-time = "2025-09-27T18:36:46.916Z" }, + { url = "https://files.pythonhosted.org/packages/c2/28/b50fc2f74d1ad761af2f5dcce7492648b983d00a65b8c0e0cb457c82ebbe/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1", size = 23784, upload-time = "2025-09-27T18:36:47.884Z" }, + { url = "https://files.pythonhosted.org/packages/ed/76/104b2aa106a208da8b17a2fb72e033a5a9d7073c68f7e508b94916ed47a9/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc", size = 21588, upload-time = "2025-09-27T18:36:48.82Z" }, + { url = "https://files.pythonhosted.org/packages/b5/99/16a5eb2d140087ebd97180d95249b00a03aa87e29cc224056274f2e45fd6/markupsafe-3.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12", size = 23041, upload-time = "2025-09-27T18:36:49.797Z" }, + { url = "https://files.pythonhosted.org/packages/19/bc/e7140ed90c5d61d77cea142eed9f9c303f4c4806f60a1044c13e3f1471d0/markupsafe-3.0.3-cp313-cp313-win32.whl", hash = "sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed", size = 14543, upload-time = "2025-09-27T18:36:51.584Z" }, + { url = "https://files.pythonhosted.org/packages/05/73/c4abe620b841b6b791f2edc248f556900667a5a1cf023a6646967ae98335/markupsafe-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5", size = 15113, upload-time = "2025-09-27T18:36:52.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3a/fa34a0f7cfef23cf9500d68cb7c32dd64ffd58a12b09225fb03dd37d5b80/markupsafe-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485", size = 13911, upload-time = "2025-09-27T18:36:53.513Z" }, + { url = "https://files.pythonhosted.org/packages/e4/d7/e05cd7efe43a88a17a37b3ae96e79a19e846f3f456fe79c57ca61356ef01/markupsafe-3.0.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73", size = 11658, upload-time = "2025-09-27T18:36:54.819Z" }, + { url = "https://files.pythonhosted.org/packages/99/9e/e412117548182ce2148bdeacdda3bb494260c0b0184360fe0d56389b523b/markupsafe-3.0.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37", size = 12066, upload-time = "2025-09-27T18:36:55.714Z" }, + { url = "https://files.pythonhosted.org/packages/bc/e6/fa0ffcda717ef64a5108eaa7b4f5ed28d56122c9a6d70ab8b72f9f715c80/markupsafe-3.0.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19", size = 25639, upload-time = "2025-09-27T18:36:56.908Z" }, + { url = "https://files.pythonhosted.org/packages/96/ec/2102e881fe9d25fc16cb4b25d5f5cde50970967ffa5dddafdb771237062d/markupsafe-3.0.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025", size = 23569, upload-time = "2025-09-27T18:36:57.913Z" }, + { url = "https://files.pythonhosted.org/packages/4b/30/6f2fce1f1f205fc9323255b216ca8a235b15860c34b6798f810f05828e32/markupsafe-3.0.3-cp313-cp313t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6", size = 23284, upload-time = "2025-09-27T18:36:58.833Z" }, + { url = "https://files.pythonhosted.org/packages/58/47/4a0ccea4ab9f5dcb6f79c0236d954acb382202721e704223a8aafa38b5c8/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f", size = 24801, upload-time = "2025-09-27T18:36:59.739Z" }, + { url = "https://files.pythonhosted.org/packages/6a/70/3780e9b72180b6fecb83a4814d84c3bf4b4ae4bf0b19c27196104149734c/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_riscv64.whl", hash = "sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb", size = 22769, upload-time = "2025-09-27T18:37:00.719Z" }, + { url = "https://files.pythonhosted.org/packages/98/c5/c03c7f4125180fc215220c035beac6b9cb684bc7a067c84fc69414d315f5/markupsafe-3.0.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009", size = 23642, upload-time = "2025-09-27T18:37:01.673Z" }, + { url = "https://files.pythonhosted.org/packages/80/d6/2d1b89f6ca4bff1036499b1e29a1d02d282259f3681540e16563f27ebc23/markupsafe-3.0.3-cp313-cp313t-win32.whl", hash = "sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354", size = 14612, upload-time = "2025-09-27T18:37:02.639Z" }, + { url = "https://files.pythonhosted.org/packages/2b/98/e48a4bfba0a0ffcf9925fe2d69240bfaa19c6f7507b8cd09c70684a53c1e/markupsafe-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218", size = 15200, upload-time = "2025-09-27T18:37:03.582Z" }, + { url = "https://files.pythonhosted.org/packages/0e/72/e3cc540f351f316e9ed0f092757459afbc595824ca724cbc5a5d4263713f/markupsafe-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287", size = 13973, upload-time = "2025-09-27T18:37:04.929Z" }, + { url = "https://files.pythonhosted.org/packages/33/8a/8e42d4838cd89b7dde187011e97fe6c3af66d8c044997d2183fbd6d31352/markupsafe-3.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe", size = 11619, upload-time = "2025-09-27T18:37:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/b5/64/7660f8a4a8e53c924d0fa05dc3a55c9cee10bbd82b11c5afb27d44b096ce/markupsafe-3.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026", size = 12029, upload-time = "2025-09-27T18:37:07.213Z" }, + { url = "https://files.pythonhosted.org/packages/da/ef/e648bfd021127bef5fa12e1720ffed0c6cbb8310c8d9bea7266337ff06de/markupsafe-3.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737", size = 24408, upload-time = "2025-09-27T18:37:09.572Z" }, + { url = "https://files.pythonhosted.org/packages/41/3c/a36c2450754618e62008bf7435ccb0f88053e07592e6028a34776213d877/markupsafe-3.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97", size = 23005, upload-time = "2025-09-27T18:37:10.58Z" }, + { url = "https://files.pythonhosted.org/packages/bc/20/b7fdf89a8456b099837cd1dc21974632a02a999ec9bf7ca3e490aacd98e7/markupsafe-3.0.3-cp314-cp314-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d", size = 22048, upload-time = "2025-09-27T18:37:11.547Z" }, + { url = "https://files.pythonhosted.org/packages/9a/a7/591f592afdc734f47db08a75793a55d7fbcc6902a723ae4cfbab61010cc5/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda", size = 23821, upload-time = "2025-09-27T18:37:12.48Z" }, + { url = "https://files.pythonhosted.org/packages/7d/33/45b24e4f44195b26521bc6f1a82197118f74df348556594bd2262bda1038/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf", size = 21606, upload-time = "2025-09-27T18:37:13.485Z" }, + { url = "https://files.pythonhosted.org/packages/ff/0e/53dfaca23a69fbfbbf17a4b64072090e70717344c52eaaaa9c5ddff1e5f0/markupsafe-3.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe", size = 23043, upload-time = "2025-09-27T18:37:14.408Z" }, + { url = "https://files.pythonhosted.org/packages/46/11/f333a06fc16236d5238bfe74daccbca41459dcd8d1fa952e8fbd5dccfb70/markupsafe-3.0.3-cp314-cp314-win32.whl", hash = "sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9", size = 14747, upload-time = "2025-09-27T18:37:15.36Z" }, + { url = "https://files.pythonhosted.org/packages/28/52/182836104b33b444e400b14f797212f720cbc9ed6ba34c800639d154e821/markupsafe-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581", size = 15341, upload-time = "2025-09-27T18:37:16.496Z" }, + { url = "https://files.pythonhosted.org/packages/6f/18/acf23e91bd94fd7b3031558b1f013adfa21a8e407a3fdb32745538730382/markupsafe-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4", size = 14073, upload-time = "2025-09-27T18:37:17.476Z" }, + { url = "https://files.pythonhosted.org/packages/3c/f0/57689aa4076e1b43b15fdfa646b04653969d50cf30c32a102762be2485da/markupsafe-3.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab", size = 11661, upload-time = "2025-09-27T18:37:18.453Z" }, + { url = "https://files.pythonhosted.org/packages/89/c3/2e67a7ca217c6912985ec766c6393b636fb0c2344443ff9d91404dc4c79f/markupsafe-3.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175", size = 12069, upload-time = "2025-09-27T18:37:19.332Z" }, + { url = "https://files.pythonhosted.org/packages/f0/00/be561dce4e6ca66b15276e184ce4b8aec61fe83662cce2f7d72bd3249d28/markupsafe-3.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634", size = 25670, upload-time = "2025-09-27T18:37:20.245Z" }, + { url = "https://files.pythonhosted.org/packages/50/09/c419f6f5a92e5fadde27efd190eca90f05e1261b10dbd8cbcb39cd8ea1dc/markupsafe-3.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50", size = 23598, upload-time = "2025-09-27T18:37:21.177Z" }, + { url = "https://files.pythonhosted.org/packages/22/44/a0681611106e0b2921b3033fc19bc53323e0b50bc70cffdd19f7d679bb66/markupsafe-3.0.3-cp314-cp314t-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e", size = 23261, upload-time = "2025-09-27T18:37:22.167Z" }, + { url = "https://files.pythonhosted.org/packages/5f/57/1b0b3f100259dc9fffe780cfb60d4be71375510e435efec3d116b6436d43/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5", size = 24835, upload-time = "2025-09-27T18:37:23.296Z" }, + { url = "https://files.pythonhosted.org/packages/26/6a/4bf6d0c97c4920f1597cc14dd720705eca0bf7c787aebc6bb4d1bead5388/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523", size = 22733, upload-time = "2025-09-27T18:37:24.237Z" }, + { url = "https://files.pythonhosted.org/packages/14/c7/ca723101509b518797fedc2fdf79ba57f886b4aca8a7d31857ba3ee8281f/markupsafe-3.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc", size = 23672, upload-time = "2025-09-27T18:37:25.271Z" }, + { url = "https://files.pythonhosted.org/packages/fb/df/5bd7a48c256faecd1d36edc13133e51397e41b73bb77e1a69deab746ebac/markupsafe-3.0.3-cp314-cp314t-win32.whl", hash = "sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d", size = 14819, upload-time = "2025-09-27T18:37:26.285Z" }, + { url = "https://files.pythonhosted.org/packages/1a/8a/0402ba61a2f16038b48b39bccca271134be00c5c9f0f623208399333c448/markupsafe-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9", size = 15426, upload-time = "2025-09-27T18:37:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/70/bc/6f1c2f612465f5fa89b95bead1f44dcb607670fd42891d8fdcd5d039f4f4/markupsafe-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa", size = 14146, upload-time = "2025-09-27T18:37:28.327Z" }, +] + +[[package]] +name = "matplotlib" +version = "3.10.8" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "cycler" }, + { name = "fonttools" }, + { name = "kiwisolver" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging" }, + { name = "pillow" }, + { name = "pyparsing" }, + { name = "python-dateutil" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/76/d3c6e3a13fe484ebe7718d14e269c9569c4eb0020a968a327acb3b9a8fe6/matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3", size = 34806269, upload-time = "2025-12-10T22:56:51.155Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/58/be/a30bd917018ad220c400169fba298f2bb7003c8ccbc0c3e24ae2aacad1e8/matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7", size = 8239828, upload-time = "2025-12-10T22:55:02.313Z" }, + { url = "https://files.pythonhosted.org/packages/58/27/ca01e043c4841078e82cf6e80a6993dfecd315c3d79f5f3153afbb8e1ec6/matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656", size = 8128050, upload-time = "2025-12-10T22:55:04.997Z" }, + { url = "https://files.pythonhosted.org/packages/cb/aa/7ab67f2b729ae6a91bcf9dcac0affb95fb8c56f7fd2b2af894ae0b0cf6fa/matplotlib-3.10.8-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee40c27c795bda6a5292e9cff9890189d32f7e3a0bf04e0e3c9430c4a00c37df", size = 8700452, upload-time = "2025-12-10T22:55:07.47Z" }, + { url = "https://files.pythonhosted.org/packages/73/ae/2d5817b0acee3c49b7e7ccfbf5b273f284957cc8e270adf36375db353190/matplotlib-3.10.8-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a48f2b74020919552ea25d222d5cc6af9ca3f4eb43a93e14d068457f545c2a17", size = 9534928, upload-time = "2025-12-10T22:55:10.566Z" }, + { url = "https://files.pythonhosted.org/packages/c9/5b/8e66653e9f7c39cb2e5cab25fce4810daffa2bff02cbf5f3077cea9e942c/matplotlib-3.10.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f254d118d14a7f99d616271d6c3c27922c092dac11112670b157798b89bf4933", size = 9586377, upload-time = "2025-12-10T22:55:12.362Z" }, + { url = "https://files.pythonhosted.org/packages/e2/e2/fd0bbadf837f81edb0d208ba8f8cb552874c3b16e27cb91a31977d90875d/matplotlib-3.10.8-cp310-cp310-win_amd64.whl", hash = "sha256:f9b587c9c7274c1613a30afabf65a272114cd6cdbe67b3406f818c79d7ab2e2a", size = 8128127, upload-time = "2025-12-10T22:55:14.436Z" }, + { url = "https://files.pythonhosted.org/packages/f8/86/de7e3a1cdcfc941483af70609edc06b83e7c8a0e0dc9ac325200a3f4d220/matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160", size = 8251215, upload-time = "2025-12-10T22:55:16.175Z" }, + { url = "https://files.pythonhosted.org/packages/fd/14/baad3222f424b19ce6ad243c71de1ad9ec6b2e4eb1e458a48fdc6d120401/matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78", size = 8139625, upload-time = "2025-12-10T22:55:17.712Z" }, + { url = "https://files.pythonhosted.org/packages/8f/a0/7024215e95d456de5883e6732e708d8187d9753a21d32f8ddb3befc0c445/matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4", size = 8712614, upload-time = "2025-12-10T22:55:20.8Z" }, + { url = "https://files.pythonhosted.org/packages/5a/f4/b8347351da9a5b3f41e26cf547252d861f685c6867d179a7c9d60ad50189/matplotlib-3.10.8-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d56a1efd5bfd61486c8bc968fa18734464556f0fb8e51690f4ac25d85cbbbbc2", size = 9540997, upload-time = "2025-12-10T22:55:23.258Z" }, + { url = "https://files.pythonhosted.org/packages/9e/c0/c7b914e297efe0bc36917bf216b2acb91044b91e930e878ae12981e461e5/matplotlib-3.10.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:238b7ce5717600615c895050239ec955d91f321c209dd110db988500558e70d6", size = 9596825, upload-time = "2025-12-10T22:55:25.217Z" }, + { url = "https://files.pythonhosted.org/packages/6f/d3/a4bbc01c237ab710a1f22b4da72f4ff6d77eb4c7735ea9811a94ae239067/matplotlib-3.10.8-cp311-cp311-win_amd64.whl", hash = "sha256:18821ace09c763ec93aef5eeff087ee493a24051936d7b9ebcad9662f66501f9", size = 8135090, upload-time = "2025-12-10T22:55:27.162Z" }, + { url = "https://files.pythonhosted.org/packages/89/dd/a0b6588f102beab33ca6f5218b31725216577b2a24172f327eaf6417d5c9/matplotlib-3.10.8-cp311-cp311-win_arm64.whl", hash = "sha256:bab485bcf8b1c7d2060b4fcb6fc368a9e6f4cd754c9c2fea281f4be21df394a2", size = 8012377, upload-time = "2025-12-10T22:55:29.185Z" }, + { url = "https://files.pythonhosted.org/packages/9e/67/f997cdcbb514012eb0d10cd2b4b332667997fb5ebe26b8d41d04962fa0e6/matplotlib-3.10.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:64fcc24778ca0404ce0cb7b6b77ae1f4c7231cdd60e6778f999ee05cbd581b9a", size = 8260453, upload-time = "2025-12-10T22:55:30.709Z" }, + { url = "https://files.pythonhosted.org/packages/7e/65/07d5f5c7f7c994f12c768708bd2e17a4f01a2b0f44a1c9eccad872433e2e/matplotlib-3.10.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9a5ca4ac220a0cdd1ba6bcba3608547117d30468fefce49bb26f55c1a3d5c58", size = 8148321, upload-time = "2025-12-10T22:55:33.265Z" }, + { url = "https://files.pythonhosted.org/packages/3e/f3/c5195b1ae57ef85339fd7285dfb603b22c8b4e79114bae5f4f0fcf688677/matplotlib-3.10.8-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ab4aabc72de4ff77b3ec33a6d78a68227bf1123465887f9905ba79184a1cc04", size = 8716944, upload-time = "2025-12-10T22:55:34.922Z" }, + { url = "https://files.pythonhosted.org/packages/00/f9/7638f5cc82ec8a7aa005de48622eecc3ed7c9854b96ba15bd76b7fd27574/matplotlib-3.10.8-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:24d50994d8c5816ddc35411e50a86ab05f575e2530c02752e02538122613371f", size = 9550099, upload-time = "2025-12-10T22:55:36.789Z" }, + { url = "https://files.pythonhosted.org/packages/57/61/78cd5920d35b29fd2a0fe894de8adf672ff52939d2e9b43cb83cd5ce1bc7/matplotlib-3.10.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:99eefd13c0dc3b3c1b4d561c1169e65fe47aab7b8158754d7c084088e2329466", size = 9613040, upload-time = "2025-12-10T22:55:38.715Z" }, + { url = "https://files.pythonhosted.org/packages/30/4e/c10f171b6e2f44d9e3a2b96efa38b1677439d79c99357600a62cc1e9594e/matplotlib-3.10.8-cp312-cp312-win_amd64.whl", hash = "sha256:dd80ecb295460a5d9d260df63c43f4afbdd832d725a531f008dad1664f458adf", size = 8142717, upload-time = "2025-12-10T22:55:41.103Z" }, + { url = "https://files.pythonhosted.org/packages/f1/76/934db220026b5fef85f45d51a738b91dea7d70207581063cd9bd8fafcf74/matplotlib-3.10.8-cp312-cp312-win_arm64.whl", hash = "sha256:3c624e43ed56313651bc18a47f838b60d7b8032ed348911c54906b130b20071b", size = 8012751, upload-time = "2025-12-10T22:55:42.684Z" }, + { url = "https://files.pythonhosted.org/packages/3d/b9/15fd5541ef4f5b9a17eefd379356cf12175fe577424e7b1d80676516031a/matplotlib-3.10.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3f2e409836d7f5ac2f1c013110a4d50b9f7edc26328c108915f9075d7d7a91b6", size = 8261076, upload-time = "2025-12-10T22:55:44.648Z" }, + { url = "https://files.pythonhosted.org/packages/8d/a0/2ba3473c1b66b9c74dc7107c67e9008cb1782edbe896d4c899d39ae9cf78/matplotlib-3.10.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:56271f3dac49a88d7fca5060f004d9d22b865f743a12a23b1e937a0be4818ee1", size = 8148794, upload-time = "2025-12-10T22:55:46.252Z" }, + { url = "https://files.pythonhosted.org/packages/75/97/a471f1c3eb1fd6f6c24a31a5858f443891d5127e63a7788678d14e249aea/matplotlib-3.10.8-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a0a7f52498f72f13d4a25ea70f35f4cb60642b466cbb0a9be951b5bc3f45a486", size = 8718474, upload-time = "2025-12-10T22:55:47.864Z" }, + { url = "https://files.pythonhosted.org/packages/01/be/cd478f4b66f48256f42927d0acbcd63a26a893136456cd079c0cc24fbabf/matplotlib-3.10.8-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:646d95230efb9ca614a7a594d4fcacde0ac61d25e37dd51710b36477594963ce", size = 9549637, upload-time = "2025-12-10T22:55:50.048Z" }, + { url = "https://files.pythonhosted.org/packages/5d/7c/8dc289776eae5109e268c4fb92baf870678dc048a25d4ac903683b86d5bf/matplotlib-3.10.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f89c151aab2e2e23cb3fe0acad1e8b82841fd265379c4cecd0f3fcb34c15e0f6", size = 9613678, upload-time = "2025-12-10T22:55:52.21Z" }, + { url = "https://files.pythonhosted.org/packages/64/40/37612487cc8a437d4dd261b32ca21fe2d79510fe74af74e1f42becb1bdb8/matplotlib-3.10.8-cp313-cp313-win_amd64.whl", hash = "sha256:e8ea3e2d4066083e264e75c829078f9e149fa119d27e19acd503de65e0b13149", size = 8142686, upload-time = "2025-12-10T22:55:54.253Z" }, + { url = "https://files.pythonhosted.org/packages/66/52/8d8a8730e968185514680c2a6625943f70269509c3dcfc0dcf7d75928cb8/matplotlib-3.10.8-cp313-cp313-win_arm64.whl", hash = "sha256:c108a1d6fa78a50646029cb6d49808ff0fc1330fda87fa6f6250c6b5369b6645", size = 8012917, upload-time = "2025-12-10T22:55:56.268Z" }, + { url = "https://files.pythonhosted.org/packages/b5/27/51fe26e1062f298af5ef66343d8ef460e090a27fea73036c76c35821df04/matplotlib-3.10.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ad3d9833a64cf48cc4300f2b406c3d0f4f4724a91c0bd5640678a6ba7c102077", size = 8305679, upload-time = "2025-12-10T22:55:57.856Z" }, + { url = "https://files.pythonhosted.org/packages/2c/1e/4de865bc591ac8e3062e835f42dd7fe7a93168d519557837f0e37513f629/matplotlib-3.10.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:eb3823f11823deade26ce3b9f40dcb4a213da7a670013929f31d5f5ed1055b22", size = 8198336, upload-time = "2025-12-10T22:55:59.371Z" }, + { url = "https://files.pythonhosted.org/packages/c6/cb/2f7b6e75fb4dce87ef91f60cac4f6e34f4c145ab036a22318ec837971300/matplotlib-3.10.8-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d9050fee89a89ed57b4fb2c1bfac9a3d0c57a0d55aed95949eedbc42070fea39", size = 8731653, upload-time = "2025-12-10T22:56:01.032Z" }, + { url = "https://files.pythonhosted.org/packages/46/b3/bd9c57d6ba670a37ab31fb87ec3e8691b947134b201f881665b28cc039ff/matplotlib-3.10.8-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b44d07310e404ba95f8c25aa5536f154c0a8ec473303535949e52eb71d0a1565", size = 9561356, upload-time = "2025-12-10T22:56:02.95Z" }, + { url = "https://files.pythonhosted.org/packages/c0/3d/8b94a481456dfc9dfe6e39e93b5ab376e50998cddfd23f4ae3b431708f16/matplotlib-3.10.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:0a33deb84c15ede243aead39f77e990469fff93ad1521163305095b77b72ce4a", size = 9614000, upload-time = "2025-12-10T22:56:05.411Z" }, + { url = "https://files.pythonhosted.org/packages/bd/cd/bc06149fe5585ba800b189a6a654a75f1f127e8aab02fd2be10df7fa500c/matplotlib-3.10.8-cp313-cp313t-win_amd64.whl", hash = "sha256:3a48a78d2786784cc2413e57397981fb45c79e968d99656706018d6e62e57958", size = 8220043, upload-time = "2025-12-10T22:56:07.551Z" }, + { url = "https://files.pythonhosted.org/packages/e3/de/b22cf255abec916562cc04eef457c13e58a1990048de0c0c3604d082355e/matplotlib-3.10.8-cp313-cp313t-win_arm64.whl", hash = "sha256:15d30132718972c2c074cd14638c7f4592bd98719e2308bccea40e0538bc0cb5", size = 8062075, upload-time = "2025-12-10T22:56:09.178Z" }, + { url = "https://files.pythonhosted.org/packages/3c/43/9c0ff7a2f11615e516c3b058e1e6e8f9614ddeca53faca06da267c48345d/matplotlib-3.10.8-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:b53285e65d4fa4c86399979e956235deb900be5baa7fc1218ea67fbfaeaadd6f", size = 8262481, upload-time = "2025-12-10T22:56:10.885Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ca/e8ae28649fcdf039fda5ef554b40a95f50592a3c47e6f7270c9561c12b07/matplotlib-3.10.8-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:32f8dce744be5569bebe789e46727946041199030db8aeb2954d26013a0eb26b", size = 8151473, upload-time = "2025-12-10T22:56:12.377Z" }, + { url = "https://files.pythonhosted.org/packages/f1/6f/009d129ae70b75e88cbe7e503a12a4c0670e08ed748a902c2568909e9eb5/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4cf267add95b1c88300d96ca837833d4112756045364f5c734a2276038dae27d", size = 9553896, upload-time = "2025-12-10T22:56:14.432Z" }, + { url = "https://files.pythonhosted.org/packages/f5/26/4221a741eb97967bc1fd5e4c52b9aa5a91b2f4ec05b59f6def4d820f9df9/matplotlib-3.10.8-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2cf5bd12cecf46908f286d7838b2abc6c91cda506c0445b8223a7c19a00df008", size = 9824193, upload-time = "2025-12-10T22:56:16.29Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f3/3abf75f38605772cf48a9daf5821cd4f563472f38b4b828c6fba6fa6d06e/matplotlib-3.10.8-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:41703cc95688f2516b480f7f339d8851a6035f18e100ee6a32bc0b8536a12a9c", size = 9615444, upload-time = "2025-12-10T22:56:18.155Z" }, + { url = "https://files.pythonhosted.org/packages/93/a5/de89ac80f10b8dc615807ee1133cd99ac74082581196d4d9590bea10690d/matplotlib-3.10.8-cp314-cp314-win_amd64.whl", hash = "sha256:83d282364ea9f3e52363da262ce32a09dfe241e4080dcedda3c0db059d3c1f11", size = 8272719, upload-time = "2025-12-10T22:56:20.366Z" }, + { url = "https://files.pythonhosted.org/packages/69/ce/b006495c19ccc0a137b48083168a37bd056392dee02f87dba0472f2797fe/matplotlib-3.10.8-cp314-cp314-win_arm64.whl", hash = "sha256:2c1998e92cd5999e295a731bcb2911c75f597d937341f3030cc24ef2733d78a8", size = 8144205, upload-time = "2025-12-10T22:56:22.239Z" }, + { url = "https://files.pythonhosted.org/packages/68/d9/b31116a3a855bd313c6fcdb7226926d59b041f26061c6c5b1be66a08c826/matplotlib-3.10.8-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b5a2b97dbdc7d4f353ebf343744f1d1f1cca8aa8bfddb4262fcf4306c3761d50", size = 8305785, upload-time = "2025-12-10T22:56:24.218Z" }, + { url = "https://files.pythonhosted.org/packages/1e/90/6effe8103f0272685767ba5f094f453784057072f49b393e3ea178fe70a5/matplotlib-3.10.8-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:3f5c3e4da343bba819f0234186b9004faba952cc420fbc522dc4e103c1985908", size = 8198361, upload-time = "2025-12-10T22:56:26.787Z" }, + { url = "https://files.pythonhosted.org/packages/d7/65/a73188711bea603615fc0baecca1061429ac16940e2385433cc778a9d8e7/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f62550b9a30afde8c1c3ae450e5eb547d579dd69b25c2fc7a1c67f934c1717a", size = 9561357, upload-time = "2025-12-10T22:56:28.953Z" }, + { url = "https://files.pythonhosted.org/packages/f4/3d/b5c5d5d5be8ce63292567f0e2c43dde9953d3ed86ac2de0a72e93c8f07a1/matplotlib-3.10.8-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:495672de149445ec1b772ff2c9ede9b769e3cb4f0d0aa7fa730d7f59e2d4e1c1", size = 9823610, upload-time = "2025-12-10T22:56:31.455Z" }, + { url = "https://files.pythonhosted.org/packages/4d/4b/e7beb6bbd49f6bae727a12b270a2654d13c397576d25bd6786e47033300f/matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c", size = 9614011, upload-time = "2025-12-10T22:56:33.85Z" }, + { url = "https://files.pythonhosted.org/packages/7c/e6/76f2813d31f032e65f6f797e3f2f6e4aab95b65015924b1c51370395c28a/matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b", size = 8362801, upload-time = "2025-12-10T22:56:36.107Z" }, + { url = "https://files.pythonhosted.org/packages/5d/49/d651878698a0b67f23aa28e17f45a6d6dd3d3f933fa29087fa4ce5947b5a/matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f", size = 8192560, upload-time = "2025-12-10T22:56:38.008Z" }, + { url = "https://files.pythonhosted.org/packages/f5/43/31d59500bb950b0d188e149a2e552040528c13d6e3d6e84d0cccac593dcd/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f97aeb209c3d2511443f8797e3e5a569aebb040d4f8bc79aa3ee78a8fb9e3dd8", size = 8237252, upload-time = "2025-12-10T22:56:39.529Z" }, + { url = "https://files.pythonhosted.org/packages/0c/2c/615c09984f3c5f907f51c886538ad785cf72e0e11a3225de2c0f9442aecc/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fb061f596dad3a0f52b60dc6a5dec4a0c300dec41e058a7efe09256188d170b7", size = 8124693, upload-time = "2025-12-10T22:56:41.758Z" }, + { url = "https://files.pythonhosted.org/packages/91/e1/2757277a1c56041e1fc104b51a0f7b9a4afc8eb737865d63cababe30bc61/matplotlib-3.10.8-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:12d90df9183093fcd479f4172ac26b322b1248b15729cb57f42f71f24c7e37a3", size = 8702205, upload-time = "2025-12-10T22:56:43.415Z" }, + { url = "https://files.pythonhosted.org/packages/04/30/3afaa31c757f34b7725ab9d2ba8b48b5e89c2019c003e7d0ead143aabc5a/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1", size = 8249198, upload-time = "2025-12-10T22:56:45.584Z" }, + { url = "https://files.pythonhosted.org/packages/48/2f/6334aec331f57485a642a7c8be03cb286f29111ae71c46c38b363230063c/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a", size = 8136817, upload-time = "2025-12-10T22:56:47.339Z" }, + { url = "https://files.pythonhosted.org/packages/73/e4/6d6f14b2a759c622f191b2d67e9075a3f56aaccb3be4bb9bb6890030d0a0/matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2", size = 8713867, upload-time = "2025-12-10T22:56:48.954Z" }, +] + +[[package]] +name = "matplotlib-inline" +version = "0.2.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c7/74/97e72a36efd4ae2bccb3463284300f8953f199b5ffbc04cbbb0ec78f74b1/matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe", size = 8110, upload-time = "2025-10-23T09:00:22.126Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/af/33/ee4519fa02ed11a94aef9559552f3b17bb863f2ecfe1a35dc7f548cde231/matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76", size = 9516, upload-time = "2025-10-23T09:00:20.675Z" }, +] + +[[package]] +name = "mccabe" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658, upload-time = "2022-01-24T01:14:51.113Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350, upload-time = "2022-01-24T01:14:49.62Z" }, +] + +[[package]] +name = "mdit-py-plugins" +version = "0.5.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markdown-it-py" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b2/fd/a756d36c0bfba5f6e39a1cdbdbfdd448dc02692467d83816dff4592a1ebc/mdit_py_plugins-0.5.0.tar.gz", hash = "sha256:f4918cb50119f50446560513a8e311d574ff6aaed72606ddae6d35716fe809c6", size = 44655, upload-time = "2025-08-11T07:25:49.083Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fb/86/dd6e5db36df29e76c7a7699123569a4a18c1623ce68d826ed96c62643cae/mdit_py_plugins-0.5.0-py3-none-any.whl", hash = "sha256:07a08422fc1936a5d26d146759e9155ea466e842f5ab2f7d2266dd084c8dab1f", size = 57205, upload-time = "2025-08-11T07:25:47.597Z" }, +] + +[[package]] +name = "mdurl" +version = "0.1.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d6/54/cfe61301667036ec958cb99bd3efefba235e65cdeb9c84d24a8293ba1d90/mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba", size = 8729, upload-time = "2022-08-14T12:40:10.846Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" }, +] + +[[package]] +name = "mergedeep" +version = "1.3.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/3a/41/580bb4006e3ed0361b8151a01d324fb03f420815446c7def45d02f74c270/mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8", size = 4661, upload-time = "2021-02-05T18:55:30.623Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/19/04f9b178c2d8a15b076c8b5140708fa6ffc5601fb6f1e975537072df5b2a/mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307", size = 6354, upload-time = "2021-02-05T18:55:29.583Z" }, +] + +[[package]] +name = "meshio" +version = "5.3.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "rich" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/20/1e/caa4f15c020de3e3486b4133ca689236bd3863a3d6dd0f58e97ce86a296a/meshio-5.3.5.tar.gz", hash = "sha256:f21f01abd9f29ba06ea119304b3d39e610421cfe93b9dd23362834919f87586d", size = 490922, upload-time = "2024-01-31T15:09:41.731Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/89/5f/39cbadc320cd78f4834b0a9f7a2fa3c980dca942bf193f315837eacb8870/meshio-5.3.5-py3-none-any.whl", hash = "sha256:0736c6e34ecc768f62f2cde5d8233a3529512a9399b25c68ea2ca0d5900cdc10", size = 166162, upload-time = "2024-01-31T15:09:36.691Z" }, +] + +[[package]] +name = "mistune" +version = "3.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9d/55/d01f0c4b45ade6536c51170b9043db8b2ec6ddf4a35c7ea3f5f559ac935b/mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a", size = 95467, upload-time = "2025-12-23T11:36:34.994Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9b/f7/4a5e785ec9fbd65146a27b6b70b6cdc161a66f2024e4b04ac06a67f5578b/mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1", size = 53598, upload-time = "2025-12-23T11:36:33.211Z" }, +] + +[[package]] +name = "mkdocs" +version = "1.6.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, + { name = "ghp-import" }, + { name = "jinja2" }, + { name = "markdown" }, + { name = "markupsafe" }, + { name = "mergedeep" }, + { name = "mkdocs-get-deps" }, + { name = "packaging" }, + { name = "pathspec" }, + { name = "pyyaml" }, + { name = "pyyaml-env-tag" }, + { name = "watchdog" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bc/c6/bbd4f061bd16b378247f12953ffcb04786a618ce5e904b8c5a01a0309061/mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2", size = 3889159, upload-time = "2024-08-30T12:24:06.899Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/22/5b/dbc6a8cddc9cfa9c4971d59fb12bb8d42e161b7e7f8cc89e49137c5b279c/mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e", size = 3864451, upload-time = "2024-08-30T12:24:05.054Z" }, +] + +[[package]] +name = "mkdocs-autorefs" +version = "1.4.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markdown" }, + { name = "markupsafe" }, + { name = "mkdocs" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/52/c0/f641843de3f612a6b48253f39244165acff36657a91cc903633d456ae1ac/mkdocs_autorefs-1.4.4.tar.gz", hash = "sha256:d54a284f27a7346b9c38f1f852177940c222da508e66edc816a0fa55fc6da197", size = 56588, upload-time = "2026-02-10T15:23:55.105Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/28/de/a3e710469772c6a89595fc52816da05c1e164b4c866a89e3cb82fb1b67c5/mkdocs_autorefs-1.4.4-py3-none-any.whl", hash = "sha256:834ef5408d827071ad1bc69e0f39704fa34c7fc05bc8e1c72b227dfdc5c76089", size = 25530, upload-time = "2026-02-10T15:23:53.817Z" }, +] + +[[package]] +name = "mkdocs-get-deps" +version = "0.2.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mergedeep" }, + { name = "platformdirs" }, + { name = "pyyaml" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ce/25/b3cccb187655b9393572bde9b09261d267c3bf2f2cdabe347673be5976a6/mkdocs_get_deps-0.2.2.tar.gz", hash = "sha256:8ee8d5f316cdbbb2834bc1df6e69c08fe769a83e040060de26d3c19fad3599a1", size = 11047, upload-time = "2026-03-10T02:46:33.632Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/88/29/744136411e785c4b0b744d5413e56555265939ab3a104c6a4b719dad33fd/mkdocs_get_deps-0.2.2-py3-none-any.whl", hash = "sha256:e7878cbeac04860b8b5e0ca31d3abad3df9411a75a32cde82f8e44b6c16ff650", size = 9555, upload-time = "2026-03-10T02:46:32.256Z" }, +] + +[[package]] +name = "mkdocs-include-markdown-plugin" +version = "7.2.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mkdocs" }, + { name = "wcmatch" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/3f/03/cd5e4383e677a3192127c4da67cb6046a8b1ae32ef6201f4faffd4b0c7a5/mkdocs_include_markdown_plugin-7.2.1.tar.gz", hash = "sha256:5d94db87b06cd303619dbaebba5f7f43a3ded7fd7709451d26f08c176376ffec", size = 25395, upload-time = "2026-01-25T15:02:27.861Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0f/0f/73a1d330183e79b21ee1b1a5dd4102fad1bd70231cf3b0620a7391b3c813/mkdocs_include_markdown_plugin-7.2.1-py3-none-any.whl", hash = "sha256:30da634c568ea5d5f9e5881d51f80ac30d8c5f891cec160344ad7a0fdaea6286", size = 29512, upload-time = "2026-01-25T15:02:26.333Z" }, +] + +[[package]] +name = "mkdocs-material" +version = "9.7.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "babel" }, + { name = "backrefs" }, + { name = "colorama" }, + { name = "jinja2" }, + { name = "markdown" }, + { name = "mkdocs" }, + { name = "mkdocs-material-extensions" }, + { name = "paginate" }, + { name = "pygments" }, + { name = "pymdown-extensions" }, + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/45/29/6d2bcf41ae40802c4beda2432396fff97b8456fb496371d1bc7aad6512ec/mkdocs_material-9.7.6.tar.gz", hash = "sha256:00bdde50574f776d328b1862fe65daeaf581ec309bd150f7bff345a098c64a69", size = 4097959, upload-time = "2026-03-19T15:41:58.161Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/01/bc663630c510822c95c47a66af9fa7a443c295b47d5f041e5e6ae62ef659/mkdocs_material-9.7.6-py3-none-any.whl", hash = "sha256:71b84353921b8ea1ba84fe11c50912cc512da8fe0881038fcc9a0761c0e635ba", size = 9305470, upload-time = "2026-03-19T15:41:55.217Z" }, +] + +[[package]] +name = "mkdocs-material-extensions" +version = "1.3.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/79/9b/9b4c96d6593b2a541e1cb8b34899a6d021d208bb357042823d4d2cabdbe7/mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443", size = 11847, upload-time = "2023-11-22T19:09:45.208Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5b/54/662a4743aa81d9582ee9339d4ffa3c8fd40a4965e033d77b9da9774d3960/mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31", size = 8728, upload-time = "2023-11-22T19:09:43.465Z" }, +] + +[[package]] +name = "mkdocstrings" +version = "1.0.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jinja2" }, + { name = "markdown" }, + { name = "markupsafe" }, + { name = "mkdocs" }, + { name = "mkdocs-autorefs" }, + { name = "pymdown-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/46/62/0dfc5719514115bf1781f44b1d7f2a0923fcc01e9c5d7990e48a05c9ae5d/mkdocstrings-1.0.3.tar.gz", hash = "sha256:ab670f55040722b49bb45865b2e93b824450fb4aef638b00d7acb493a9020434", size = 100946, upload-time = "2026-02-07T14:31:40.973Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/41/1cf02e3df279d2dd846a1bf235a928254eba9006dd22b4a14caa71aed0f7/mkdocstrings-1.0.3-py3-none-any.whl", hash = "sha256:0d66d18430c2201dc7fe85134277382baaa15e6b30979f3f3bdbabd6dbdb6046", size = 35523, upload-time = "2026-02-07T14:31:39.27Z" }, +] + +[[package]] +name = "mkdocstrings-python" +version = "2.0.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "griffelib" }, + { name = "mkdocs-autorefs" }, + { name = "mkdocstrings" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/29/33/c225eaf898634bdda489a6766fc35d1683c640bffe0e0acd10646b13536d/mkdocstrings_python-2.0.3.tar.gz", hash = "sha256:c518632751cc869439b31c9d3177678ad2bfa5c21b79b863956ad68fc92c13b8", size = 199083, upload-time = "2026-02-20T10:38:36.368Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/32/28/79f0f8de97cce916d5ae88a7bee1ad724855e83e6019c0b4d5b3fabc80f3/mkdocstrings_python-2.0.3-py3-none-any.whl", hash = "sha256:0b83513478bdfd803ff05aa43e9b1fca9dd22bcd9471f09ca6257f009bc5ee12", size = 104779, upload-time = "2026-02-20T10:38:34.517Z" }, +] + +[[package]] +name = "mkdocstrings-python-legacy" +version = "0.2.7" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mkdocs-autorefs" }, + { name = "mkdocstrings" }, + { name = "pytkdocs" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/39/4b/3b1724ae9d82646c81f9dda3a7e3a0101f433e0b9e4344157b6e3a4e48b2/mkdocstrings_python_legacy-0.2.7.tar.gz", hash = "sha256:1aa8a277a332fb0d49be3786de3fa18af7d8792e8d611f6ba8d550dc3a1ff8a1", size = 99605, upload-time = "2025-05-22T10:58:41.657Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e2/25/b353bc04f24502ea0afe129b3045b73f3297e828e4baaf33c286417a9657/mkdocstrings_python_legacy-0.2.7-py3-none-any.whl", hash = "sha256:c24a0a5867749fd826dfa190e10afcbd4c415cbcb2f805fc4791472b4bf221e9", size = 29263, upload-time = "2025-05-22T10:58:40.161Z" }, +] + +[[package]] +name = "mne" +version = "1.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "decorator" }, + { name = "jinja2" }, + { name = "lazy-loader" }, + { name = "matplotlib" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging" }, + { name = "pooch" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "tqdm" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/9b/4f/ed4c27b6179665235a7ce3a738b24a05cafe9fa67f728994361598b27c2f/mne-1.11.0.tar.gz", hash = "sha256:0a89b8fc44133b81218a35cdcba74ad0f8ae2e265136249b365b9ce04864c688", size = 7152794, upload-time = "2025-11-21T19:34:45.907Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c3/60/a9b51009f6df38b491a874b3ca5db1ce37395c6327faca1008e71e9814e6/mne-1.11.0-py3-none-any.whl", hash = "sha256:993f25b0c92e563c23cb272c42c6c0298be10f40ed50abe4dd2deeba8d184ac2", size = 7451119, upload-time = "2025-11-21T19:34:43.463Z" }, +] + +[package.optional-dependencies] +hdf5 = [ + { name = "h5io" }, + { name = "pymatreader" }, +] + +[[package]] +name = "mne-connectivity" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mne" }, + { name = "netcdf4", version = "1.7.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, + { name = "netcdf4", version = "1.7.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "tqdm" }, + { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ed/50/f6dde9b21140caf1f53bba0126bddc1890bc766c8119c05b4f59d4dfda31/mne_connectivity-0.7.0.tar.gz", hash = "sha256:89f9e11d1843395dd67458f027aedee1a70fdfce97241a7d3f2710164d537864", size = 157293, upload-time = "2024-06-12T15:29:00.628Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/40/06/a8d2fe4f73c12350b163c7b6c8fd32abb40774720de5249234c143b44a6b/mne_connectivity-0.7.0-py3-none-any.whl", hash = "sha256:879f9041e10d9e1cadcbb02526fd79f2819af5b5d811934a3af2865aae530d07", size = 115207, upload-time = "2024-06-12T15:28:59.036Z" }, +] + +[[package]] +name = "mpmath" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e0/47/dd32fa426cc72114383ac549964eecb20ecfd886d1e5ccf5340b55b02f57/mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f", size = 508106, upload-time = "2023-03-07T16:47:11.061Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c", size = 536198, upload-time = "2023-03-07T16:47:09.197Z" }, +] + +[[package]] +name = "mypy-extensions" +version = "1.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a2/6e/371856a3fb9d31ca8dac321cda606860fa4548858c0cc45d9d1d4ca2628b/mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558", size = 6343, upload-time = "2025-04-22T14:54:24.164Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" }, +] + +[[package]] +name = "narwhals" +version = "2.18.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/47/b4/02a8add181b8d2cd5da3b667cd102ae536e8c9572ab1a130816d70a89edb/narwhals-2.18.0.tar.gz", hash = "sha256:1de5cee338bc17c338c6278df2c38c0dd4290499fcf70d75e0a51d5f22a6e960", size = 620222, upload-time = "2026-03-10T15:51:27.14Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fe/75/0b4a10da17a44cf13567d08a9c7632a285297e46253263f1ae119129d10a/narwhals-2.18.0-py3-none-any.whl", hash = "sha256:68378155ee706ac9c5b25868ef62ecddd62947b6df7801a0a156bc0a615d2d0d", size = 444865, upload-time = "2026-03-10T15:51:24.085Z" }, +] + +[[package]] +name = "nbclient" +version = "0.10.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-client" }, + { name = "jupyter-core" }, + { name = "nbformat" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/56/91/1c1d5a4b9a9ebba2b4e32b8c852c2975c872aec1fe42ab5e516b2cecd193/nbclient-0.10.4.tar.gz", hash = "sha256:1e54091b16e6da39e297b0ece3e10f6f29f4ac4e8ee515d29f8a7099bd6553c9", size = 62554, upload-time = "2025-12-23T07:45:46.369Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/83/a0/5b0c2f11142ed1dddec842457d3f65eaf71a0080894eb6f018755b319c3a/nbclient-0.10.4-py3-none-any.whl", hash = "sha256:9162df5a7373d70d606527300a95a975a47c137776cd942e52d9c7e29ff83440", size = 25465, upload-time = "2025-12-23T07:45:44.51Z" }, +] + +[[package]] +name = "nbconvert" +version = "7.17.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "beautifulsoup4" }, + { name = "bleach", extra = ["css"] }, + { name = "defusedxml" }, + { name = "jinja2" }, + { name = "jupyter-core" }, + { name = "jupyterlab-pygments" }, + { name = "markupsafe" }, + { name = "mistune" }, + { name = "nbclient" }, + { name = "nbformat" }, + { name = "packaging" }, + { name = "pandocfilters" }, + { name = "pygments" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/38/47/81f886b699450d0569f7bc551df2b1673d18df7ff25cc0c21ca36ed8a5ff/nbconvert-7.17.0.tar.gz", hash = "sha256:1b2696f1b5be12309f6c7d707c24af604b87dfaf6d950794c7b07acab96dda78", size = 862855, upload-time = "2026-01-29T16:37:48.478Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0d/4b/8d5f796a792f8a25f6925a96032f098789f448571eb92011df1ae59e8ea8/nbconvert-7.17.0-py3-none-any.whl", hash = "sha256:4f99a63b337b9a23504347afdab24a11faa7d86b405e5c8f9881cd313336d518", size = 261510, upload-time = "2026-01-29T16:37:46.322Z" }, +] + +[[package]] +name = "nbformat" +version = "5.10.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "fastjsonschema" }, + { name = "jsonschema" }, + { name = "jupyter-core" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749, upload-time = "2024-04-04T11:20:37.371Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454, upload-time = "2024-04-04T11:20:34.895Z" }, +] + +[[package]] +name = "nest-asyncio" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/83/f8/51569ac65d696c8ecbee95938f89d4abf00f47d58d48f6fbabfe8f0baefe/nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe", size = 7418, upload-time = "2024-01-21T14:25:19.227Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload-time = "2024-01-21T14:25:17.223Z" }, +] + +[[package]] +name = "netcdf4" +version = "1.7.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", +] +dependencies = [ + { name = "certifi", marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, + { name = "cftime", marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0e/76/7bc801796dee752c1ce9cd6935564a6ee79d5c9d9ef9192f57b156495a35/netcdf4-1.7.3.tar.gz", hash = "sha256:83f122fc3415e92b1d4904fd6a0898468b5404c09432c34beb6b16c533884673", size = 836095, upload-time = "2025-10-13T18:38:00.76Z" } + +[[package]] +name = "netcdf4" +version = "1.7.4" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "certifi", marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "cftime", marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/34/b6/0370bb3af66a12098da06dc5843f3b349b7c83ccbdf7306e7afa6248b533/netcdf4-1.7.4.tar.gz", hash = "sha256:cdbfdc92d6f4d7192ca8506c9b3d4c1d9892969ff28d8e8e1fc97ca08bf12164", size = 838352, upload-time = "2026-01-05T02:27:38.593Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0f/07/dfdd017641e82fadaf4e043d91fa179d34940c7d69175a3034dea877df9c/netcdf4-1.7.4-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b1c1a7ea3678db76bf33d14f7e202385d634db38c5e70d8cf4895971023eebb9", size = 23499427, upload-time = "2026-01-05T02:26:54.13Z" }, + { url = "https://files.pythonhosted.org/packages/a7/6c/8cd98d166f30d378488c5235457d6af7df09f9925ab5ad03d6840543f42e/netcdf4-1.7.4-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:d3f9497873454207f9480847d02b1b19a4bc81ad6e9166e1c17d4e2f8f3555d1", size = 22886591, upload-time = "2026-01-05T02:26:57.113Z" }, + { url = "https://files.pythonhosted.org/packages/08/1c/ab31713a95160ebc6b4ec495cd4f03f38b235188a7e955bf33703c5039ca/netcdf4-1.7.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8e18294af803e80f8c0339f791901942e268c334c099bbd5f7ea8325a49801a", size = 10336881, upload-time = "2026-01-05T02:26:59.382Z" }, + { url = "https://files.pythonhosted.org/packages/26/d7/bb16993af267acda23fe3de4ead2528cbe49043e391f732a1a4a15beec20/netcdf4-1.7.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0b06c0b93fd0ecc1ec67a582f3ba98b7db9da1fa843c8f83fd75990e3701771e", size = 10182772, upload-time = "2026-01-05T02:27:01.545Z" }, + { url = "https://files.pythonhosted.org/packages/9b/a6/e6fca338488a896c5e1f661ba3007e83f46700e1a59552b05013d501bc45/netcdf4-1.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:889ba77f084504aebaba9c6f9a88ac213431fef0e897f887cd35aef351ff7740", size = 21363337, upload-time = "2026-01-05T02:27:04.21Z" }, + { url = "https://files.pythonhosted.org/packages/38/de/38ed7e1956943d28e8ea74161e97c3a00fb98d6d08943b4fd21bae32c240/netcdf4-1.7.4-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8", size = 23427499, upload-time = "2026-01-05T02:27:06.568Z" }, + { url = "https://files.pythonhosted.org/packages/e5/70/2f73c133b71709c412bc81d8b721e28dc6237ba9d7dad861b7bfbb70408a/netcdf4-1.7.4-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:75cf59100f0775bc4d6b9d4aca7cbabd12e2b8cf3b9a4fb16d810b92743a315a", size = 22847667, upload-time = "2026-01-05T02:27:09.421Z" }, + { url = "https://files.pythonhosted.org/packages/77/ce/43a3c0c41a6e2e940d87feea79d29aa88302211ac122604838f8a5a48de6/netcdf4-1.7.4-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932", size = 10274769, upload-time = "2026-01-05T21:31:19.243Z" }, + { url = "https://files.pythonhosted.org/packages/7b/7a/a8d32501bb95ecff342004a674720164f95ad616f269450b3bc13dc88ae3/netcdf4-1.7.4-cp311-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a72c9f58767779ec14cb7451c3b56bdd8fdc027a792fac2062b14e090c5617f3", size = 10123122, upload-time = "2026-01-05T21:31:22.773Z" }, + { url = "https://files.pythonhosted.org/packages/18/68/e89b4fa9242e59326c849c39ce0f49eb68499603c639405a8449900a4f15/netcdf4-1.7.4-cp311-abi3-win_amd64.whl", hash = "sha256:9476e1f23161ae5159cd1548c50c8a37922e77d76583e247133f256ef7b825fc", size = 21299637, upload-time = "2026-01-05T02:27:11.856Z" }, + { url = "https://files.pythonhosted.org/packages/6c/fc/edd41a3607241027aa4533e7f18e0cd647e74dde10a63274c65350f59967/netcdf4-1.7.4-cp311-abi3-win_arm64.whl", hash = "sha256:876ad9d58f09c98741c066c726164c45a098a58fb90e5fac9e74de4bb8a793fd", size = 2386377, upload-time = "2026-01-05T02:27:13.808Z" }, + { url = "https://files.pythonhosted.org/packages/f1/3e/1e83534ba68459bc5ae39df46fa71003984df58aabf31f7dcd6e22ecddb0/netcdf4-1.7.4-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56688c03444fffe0d0c7512cb45245e650389cd841c955b30e4552fa681c4cd9", size = 10519821, upload-time = "2026-01-05T02:27:15.413Z" }, + { url = "https://files.pythonhosted.org/packages/c0/8c/a15d6fe97f81d6d5202b17838a9a298b5955b3e9971e20609195112829b5/netcdf4-1.7.4-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ecf471ba8a6ddb2200121949bedfa0095db228822f38227d5da680694a38358", size = 10371133, upload-time = "2026-01-05T02:27:17.224Z" }, + { url = "https://files.pythonhosted.org/packages/d8/2b/684b15dd4791f8be295b2f6fa97377bbc07a768478a63b7d3c4951712e36/netcdf4-1.7.4-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a5841de0735e8e4875b367c668e81d334287858d64dd9f3e3e2261e808c84922", size = 10395635, upload-time = "2026-01-05T02:27:19.655Z" }, + { url = "https://files.pythonhosted.org/packages/37/dc/44d21524cf1b1c64254f92e22395a7a10f70c18f3a13a18ac9db258760f7/netcdf4-1.7.4-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:86fac03a8c5b250d57866e7d98918a64742e4b0de1681c5c86bac5726bab8aee", size = 10237725, upload-time = "2026-01-05T02:27:22.298Z" }, + { url = "https://files.pythonhosted.org/packages/d4/9d/c3ddf54296ad8f18f02f77f23452bdb0971aece1b87e84bab9d734bf72cc/netcdf4-1.7.4-cp314-cp314t-macosx_13_0_x86_64.whl", hash = "sha256:ad083d260301b5add74b1669c75ab0df03bdf986decfcc092cb45eec2615b5f1", size = 23515258, upload-time = "2026-01-05T02:27:24.837Z" }, + { url = "https://files.pythonhosted.org/packages/dd/44/bc0346e995d436d03fab682b7fbd2a9adcf0db6a05790b8f24853bf08170/netcdf4-1.7.4-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:7f22014092cc9da3f056b0368e2e38c42afd5725c87ad4843eb2f467e16dd4f6", size = 22910171, upload-time = "2026-01-05T02:27:27.166Z" }, + { url = "https://files.pythonhosted.org/packages/30/6b/f9bc3f43c55e2dac72ee9f98d77860789bdd5d50c29adf164a6bdb303078/netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:224a15434c165a5e0225e5831f591edf62533044b1ce62fdfee815195bbd077d", size = 10567579, upload-time = "2026-01-05T02:27:29.382Z" }, + { url = "https://files.pythonhosted.org/packages/6d/d5/e7685c66b7f011c73cd746127f986358a26c642a4e4a1aa5ab51481b6586/netcdf4-1.7.4-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:31a2318305de6831a18df25ad0df9f03b6d68666af0356d4f6057d66c02ffeb6", size = 10255032, upload-time = "2026-01-05T02:27:31.744Z" }, + { url = "https://files.pythonhosted.org/packages/a6/14/7506738bb6c8bc373b01e5af8f3b727f83f4f496c6b108490ea2609dc2cf/netcdf4-1.7.4-cp314-cp314t-win_amd64.whl", hash = "sha256:6c4a0aa9446c3a616ef3be015b629dc6173643f8b09546de26a4e40e272cd1ed", size = 22289653, upload-time = "2026-01-05T02:27:34.294Z" }, + { url = "https://files.pythonhosted.org/packages/af/2e/39d5e9179c543f2e6e149a65908f83afd9b6d64379a90789b323111761db/netcdf4-1.7.4-cp314-cp314t-win_arm64.whl", hash = "sha256:034220887d48da032cb2db5958f69759dbb04eb33e279ec6390571d4aea734fe", size = 2531682, upload-time = "2026-01-05T02:27:37.062Z" }, +] + +[[package]] +name = "networkx" +version = "3.4.2" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +sdist = { url = "https://files.pythonhosted.org/packages/fd/1d/06475e1cd5264c0b870ea2cc6fdb3e37177c1e565c43f56ff17a10e3937f/networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1", size = 2151368, upload-time = "2024-10-21T12:39:38.695Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f", size = 1723263, upload-time = "2024-10-21T12:39:36.247Z" }, +] + +[[package]] +name = "networkx" +version = "3.6.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +sdist = { url = "https://files.pythonhosted.org/packages/6a/51/63fe664f3908c97be9d2e4f1158eb633317598cfa6e1fc14af5383f17512/networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509", size = 2517025, upload-time = "2025-12-08T17:02:39.908Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/c9/b2622292ea83fbb4ec318f5b9ab867d0a28ab43c5717bb85b0a5f6b3b0a4/networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762", size = 2068504, upload-time = "2025-12-08T17:02:38.159Z" }, +] + +[[package]] +name = "notebook" +version = "7.5.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, + { name = "jupyterlab" }, + { name = "jupyterlab-server" }, + { name = "notebook-shim" }, + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/1f/6d/41052c48d6f6349ca0a7c4d1f6a78464de135e6d18f5829ba2510e62184c/notebook-7.5.5.tar.gz", hash = "sha256:dc0bfab0f2372c8278c457423d3256c34154ac2cc76bf20e9925260c461013c3", size = 14169167, upload-time = "2026-03-11T16:32:51.922Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f8/aa/cbd1deb9f07446241e88f8d5fecccd95b249bca0b4e5482214a4d1714c49/notebook-7.5.5-py3-none-any.whl", hash = "sha256:a7c14dbeefa6592e87f72290ca982e0c10f5bbf3786be2a600fda9da2764a2b8", size = 14578929, upload-time = "2026-03-11T16:32:48.021Z" }, +] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jupyter-server" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/54/d2/92fa3243712b9a3e8bafaf60aac366da1cada3639ca767ff4b5b3654ec28/notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb", size = 13167, upload-time = "2024-02-14T23:35:18.353Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef", size = 13307, upload-time = "2024-02-14T23:35:16.286Z" }, +] + +[[package]] +name = "numba" +version = "0.64.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "llvmlite" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/23/c9/a0fb41787d01d621046138da30f6c2100d80857bf34b3390dd68040f27a3/numba-0.64.0.tar.gz", hash = "sha256:95e7300af648baa3308127b1955b52ce6d11889d16e8cfe637b4f85d2fca52b1", size = 2765679, upload-time = "2026-02-18T18:41:20.974Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/4c/5e/604fed821cd7e3426bb3bc99a7ed6ac0bcb489f4cd93052256437d082f95/numba-0.64.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cc09b79440952e3098eeebea4bf6e8d2355fb7f12734fcd9fc5039f0dca90727", size = 2683250, upload-time = "2026-02-18T18:40:45.829Z" }, + { url = "https://files.pythonhosted.org/packages/4f/9f/9275a723d050b5f1a9b1c7fb7dbfce324fef301a8e50c5f88338569db06c/numba-0.64.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1afe3a80b8c2f376b211fb7a49e536ef9eafc92436afc95a2f41ea5392f8cc65", size = 3742168, upload-time = "2026-02-18T18:40:48.066Z" }, + { url = "https://files.pythonhosted.org/packages/e2/d1/97ca7dddaa36b16f4c46319bdb6b4913ba15d0245317d0d8ccde7b2d7d92/numba-0.64.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23804194b93b8cd416c6444b5fbc4956082a45fed2d25436ef49c594666e7f7e", size = 3449103, upload-time = "2026-02-18T18:40:49.905Z" }, + { url = "https://files.pythonhosted.org/packages/52/0a/b9e137ad78415373e3353564500e8bf29dbce3c0d73633bb384d4e5d7537/numba-0.64.0-cp310-cp310-win_amd64.whl", hash = "sha256:e2a9fe998bb2cf848960b34db02c2c3b5e02cf82c07a26d9eef3494069740278", size = 2749950, upload-time = "2026-02-18T18:40:51.536Z" }, + { url = "https://files.pythonhosted.org/packages/89/a3/1a4286a1c16136c8896d8e2090d950e79b3ec626d3a8dc9620f6234d5a38/numba-0.64.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:766156ee4b8afeeb2b2e23c81307c5d19031f18d5ce76ae2c5fb1429e72fa92b", size = 2682938, upload-time = "2026-02-18T18:40:52.897Z" }, + { url = "https://files.pythonhosted.org/packages/19/16/aa6e3ba3cd45435c117d1101b278b646444ed05b7c712af631b91353f573/numba-0.64.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d17071b4ffc9d39b75d8e6c101a36f0c81b646123859898c9799cb31807c8f78", size = 3747376, upload-time = "2026-02-18T18:40:54.925Z" }, + { url = "https://files.pythonhosted.org/packages/c0/f1/dd2f25e18d75fdf897f730b78c5a7b00cc4450f2405564dbebfaf359f21f/numba-0.64.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4ead5630434133bac87fa67526eacb264535e4e9a2d5ec780e0b4fc381a7d275", size = 3453292, upload-time = "2026-02-18T18:40:56.818Z" }, + { url = "https://files.pythonhosted.org/packages/31/29/e09d5630578a50a2b3fa154990b6b839cf95327aa0709e2d50d0b6816cd1/numba-0.64.0-cp311-cp311-win_amd64.whl", hash = "sha256:f2b1fd93e7aaac07d6fbaed059c00679f591f2423885c206d8c1b55d65ca3f2d", size = 2749824, upload-time = "2026-02-18T18:40:58.392Z" }, + { url = "https://files.pythonhosted.org/packages/70/a6/9fc52cb4f0d5e6d8b5f4d81615bc01012e3cf24e1052a60f17a68deb8092/numba-0.64.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:69440a8e8bc1a81028446f06b363e28635aa67bd51b1e498023f03b812e0ce68", size = 2683418, upload-time = "2026-02-18T18:40:59.886Z" }, + { url = "https://files.pythonhosted.org/packages/9b/89/1a74ea99b180b7a5587b0301ed1b183a2937c4b4b67f7994689b5d36fc34/numba-0.64.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f13721011f693ba558b8dd4e4db7f2640462bba1b855bdc804be45bbeb55031a", size = 3804087, upload-time = "2026-02-18T18:41:01.699Z" }, + { url = "https://files.pythonhosted.org/packages/91/e1/583c647404b15f807410510fec1eb9b80cb8474165940b7749f026f21cbc/numba-0.64.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0b180b1133f2b5d8b3f09d96b6d7a9e51a7da5dda3c09e998b5bcfac85d222c", size = 3504309, upload-time = "2026-02-18T18:41:03.252Z" }, + { url = "https://files.pythonhosted.org/packages/85/23/0fce5789b8a5035e7ace21216a468143f3144e02013252116616c58339aa/numba-0.64.0-cp312-cp312-win_amd64.whl", hash = "sha256:e63dc94023b47894849b8b106db28ccb98b49d5498b98878fac1a38f83ac007a", size = 2752740, upload-time = "2026-02-18T18:41:05.097Z" }, + { url = "https://files.pythonhosted.org/packages/52/80/2734de90f9300a6e2503b35ee50d9599926b90cbb7ac54f9e40074cd07f1/numba-0.64.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:3bab2c872194dcd985f1153b70782ec0fbbe348fffef340264eacd3a76d59fd6", size = 2683392, upload-time = "2026-02-18T18:41:06.563Z" }, + { url = "https://files.pythonhosted.org/packages/42/e8/14b5853ebefd5b37723ef365c5318a30ce0702d39057eaa8d7d76392859d/numba-0.64.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:703a246c60832cad231d2e73c1182f25bf3cc8b699759ec8fe58a2dbc689a70c", size = 3812245, upload-time = "2026-02-18T18:41:07.963Z" }, + { url = "https://files.pythonhosted.org/packages/8a/a2/f60dc6c96d19b7185144265a5fbf01c14993d37ff4cd324b09d0212aa7ce/numba-0.64.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e2e49a7900ee971d32af7609adc0cfe6aa7477c6f6cccdf6d8138538cf7756f", size = 3511328, upload-time = "2026-02-18T18:41:09.504Z" }, + { url = "https://files.pythonhosted.org/packages/9c/2a/fe7003ea7e7237ee7014f8eaeeb7b0d228a2db22572ca85bab2648cf52cb/numba-0.64.0-cp313-cp313-win_amd64.whl", hash = "sha256:396f43c3f77e78d7ec84cdfc6b04969c78f8f169351b3c4db814b97e7acf4245", size = 2752668, upload-time = "2026-02-18T18:41:11.455Z" }, + { url = "https://files.pythonhosted.org/packages/3d/8a/77d26afe0988c592dd97cb8d4e80bfb3dfc7dbdacfca7d74a7c5c81dd8c2/numba-0.64.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f565d55eaeff382cbc86c63c8c610347453af3d1e7afb2b6569aac1c9b5c93ce", size = 2683590, upload-time = "2026-02-18T18:41:12.897Z" }, + { url = "https://files.pythonhosted.org/packages/8e/4b/600b8b7cdbc7f9cebee9ea3d13bb70052a79baf28944024ffcb59f0712e3/numba-0.64.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9b55169b18892c783f85e9ad9e6f5297a6d12967e4414e6b71361086025ff0bb", size = 3781163, upload-time = "2026-02-18T18:41:15.377Z" }, + { url = "https://files.pythonhosted.org/packages/ff/73/53f2d32bfa45b7175e9944f6b816d8c32840178c3eee9325033db5bf838e/numba-0.64.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:196bcafa02c9dd1707e068434f6d5cedde0feb787e3432f7f1f0e993cc336c4c", size = 3481172, upload-time = "2026-02-18T18:41:17.281Z" }, + { url = "https://files.pythonhosted.org/packages/b5/00/aebd2f7f1e11e38814bb96e95a27580817a7b340608d3ac085fdbab83174/numba-0.64.0-cp314-cp314-win_amd64.whl", hash = "sha256:213e9acbe7f1c05090592e79020315c1749dd52517b90e94c517dca3f014d4a1", size = 2754700, upload-time = "2026-02-18T18:41:19.277Z" }, +] + +[[package]] +name = "numpy" +version = "2.2.6" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, + { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, + { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, + { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, + { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, + { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, + { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, + { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, + { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, + { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, + { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, + { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, + { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, + { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, + { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, + { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, + { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, + { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, + { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, + { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, + { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, + { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, + { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, + { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, + { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, + { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, + { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, + { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, + { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, + { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" }, + { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" }, + { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" }, + { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" }, + { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" }, + { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" }, + { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" }, + { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" }, + { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" }, + { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" }, + { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" }, + { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" }, + { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" }, + { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" }, + { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" }, + { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" }, + { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" }, + { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" }, + { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" }, + { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" }, + { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, + { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, + { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, + { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, +] + +[[package]] +name = "numpy" +version = "2.4.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +sdist = { url = "https://files.pythonhosted.org/packages/10/8b/c265f4823726ab832de836cdd184d0986dcf94480f81e8739692a7ac7af2/numpy-2.4.3.tar.gz", hash = "sha256:483a201202b73495f00dbc83796c6ae63137a9bdade074f7648b3e32613412dd", size = 20727743, upload-time = "2026-03-09T07:58:53.426Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f9/51/5093a2df15c4dc19da3f79d1021e891f5dcf1d9d1db6ba38891d5590f3fe/numpy-2.4.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:33b3bf58ee84b172c067f56aeadc7ee9ab6de69c5e800ab5b10295d54c581adb", size = 16957183, upload-time = "2026-03-09T07:55:57.774Z" }, + { url = "https://files.pythonhosted.org/packages/b5/7c/c061f3de0630941073d2598dc271ac2f6cbcf5c83c74a5870fea07488333/numpy-2.4.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ba7b51e71c05aa1f9bc3641463cd82308eab40ce0d5c7e1fd4038cbf9938147", size = 14968734, upload-time = "2026-03-09T07:56:00.494Z" }, + { url = "https://files.pythonhosted.org/packages/ef/27/d26c85cbcd86b26e4f125b0668e7a7c0542d19dd7d23ee12e87b550e95b5/numpy-2.4.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a1988292870c7cb9d0ebb4cc96b4d447513a9644801de54606dc7aabf2b7d920", size = 5475288, upload-time = "2026-03-09T07:56:02.857Z" }, + { url = "https://files.pythonhosted.org/packages/2b/09/3c4abbc1dcd8010bf1a611d174c7aa689fc505585ec806111b4406f6f1b1/numpy-2.4.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:23b46bb6d8ecb68b58c09944483c135ae5f0e9b8d8858ece5e4ead783771d2a9", size = 6805253, upload-time = "2026-03-09T07:56:04.53Z" }, + { url = "https://files.pythonhosted.org/packages/21/bc/e7aa3f6817e40c3f517d407742337cbb8e6fc4b83ce0b55ab780c829243b/numpy-2.4.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a016db5c5dba78fa8fe9f5d80d6708f9c42ab087a739803c0ac83a43d686a470", size = 15969479, upload-time = "2026-03-09T07:56:06.638Z" }, + { url = "https://files.pythonhosted.org/packages/78/51/9f5d7a41f0b51649ddf2f2320595e15e122a40610b233d51928dd6c92353/numpy-2.4.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:715de7f82e192e8cae5a507a347d97ad17598f8e026152ca97233e3666daaa71", size = 16901035, upload-time = "2026-03-09T07:56:09.405Z" }, + { url = "https://files.pythonhosted.org/packages/64/6e/b221dd847d7181bc5ee4857bfb026182ef69499f9305eb1371cbb1aea626/numpy-2.4.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2ddb7919366ee468342b91dea2352824c25b55814a987847b6c52003a7c97f15", size = 17325657, upload-time = "2026-03-09T07:56:12.067Z" }, + { url = "https://files.pythonhosted.org/packages/eb/b8/8f3fd2da596e1063964b758b5e3c970aed1949a05200d7e3d46a9d46d643/numpy-2.4.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a315e5234d88067f2d97e1f2ef670a7569df445d55400f1e33d117418d008d52", size = 18635512, upload-time = "2026-03-09T07:56:14.629Z" }, + { url = "https://files.pythonhosted.org/packages/5c/24/2993b775c37e39d2f8ab4125b44337ab0b2ba106c100980b7c274a22bee7/numpy-2.4.3-cp311-cp311-win32.whl", hash = "sha256:2b3f8d2c4589b1a2028d2a770b0fc4d1f332fb5e01521f4de3199a896d158ddd", size = 6238100, upload-time = "2026-03-09T07:56:17.243Z" }, + { url = "https://files.pythonhosted.org/packages/76/1d/edccf27adedb754db7c4511d5eac8b83f004ae948fe2d3509e8b78097d4c/numpy-2.4.3-cp311-cp311-win_amd64.whl", hash = "sha256:77e76d932c49a75617c6d13464e41203cd410956614d0a0e999b25e9e8d27eec", size = 12609816, upload-time = "2026-03-09T07:56:19.089Z" }, + { url = "https://files.pythonhosted.org/packages/92/82/190b99153480076c8dce85f4cfe7d53ea84444145ffa54cb58dcd460d66b/numpy-2.4.3-cp311-cp311-win_arm64.whl", hash = "sha256:eb610595dd91560905c132c709412b512135a60f1851ccbd2c959e136431ff67", size = 10485757, upload-time = "2026-03-09T07:56:21.753Z" }, + { url = "https://files.pythonhosted.org/packages/a9/ed/6388632536f9788cea23a3a1b629f25b43eaacd7d7377e5d6bc7b9deb69b/numpy-2.4.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:61b0cbabbb6126c8df63b9a3a0c4b1f44ebca5e12ff6997b80fcf267fb3150ef", size = 16669628, upload-time = "2026-03-09T07:56:24.252Z" }, + { url = "https://files.pythonhosted.org/packages/74/1b/ee2abfc68e1ce728b2958b6ba831d65c62e1b13ce3017c13943f8f9b5b2e/numpy-2.4.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7395e69ff32526710748f92cd8c9849b361830968ea3e24a676f272653e8983e", size = 14696872, upload-time = "2026-03-09T07:56:26.991Z" }, + { url = "https://files.pythonhosted.org/packages/ba/d1/780400e915ff5638166f11ca9dc2c5815189f3d7cf6f8759a1685e586413/numpy-2.4.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:abdce0f71dcb4a00e4e77f3faf05e4616ceccfe72ccaa07f47ee79cda3b7b0f4", size = 5203489, upload-time = "2026-03-09T07:56:29.414Z" }, + { url = "https://files.pythonhosted.org/packages/0b/bb/baffa907e9da4cc34a6e556d6d90e032f6d7a75ea47968ea92b4858826c4/numpy-2.4.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:48da3a4ee1336454b07497ff7ec83903efa5505792c4e6d9bf83d99dc07a1e18", size = 6550814, upload-time = "2026-03-09T07:56:32.225Z" }, + { url = "https://files.pythonhosted.org/packages/7b/12/8c9f0c6c95f76aeb20fc4a699c33e9f827fa0d0f857747c73bb7b17af945/numpy-2.4.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:32e3bef222ad6b052280311d1d60db8e259e4947052c3ae7dd6817451fc8a4c5", size = 15666601, upload-time = "2026-03-09T07:56:34.461Z" }, + { url = "https://files.pythonhosted.org/packages/bd/79/cc665495e4d57d0aa6fbcc0aa57aa82671dfc78fbf95fe733ed86d98f52a/numpy-2.4.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e7dd01a46700b1967487141a66ac1a3cf0dd8ebf1f08db37d46389401512ca97", size = 16621358, upload-time = "2026-03-09T07:56:36.852Z" }, + { url = "https://files.pythonhosted.org/packages/a8/40/b4ecb7224af1065c3539f5ecfff879d090de09608ad1008f02c05c770cb3/numpy-2.4.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:76f0f283506c28b12bba319c0fab98217e9f9b54e6160e9c79e9f7348ba32e9c", size = 17016135, upload-time = "2026-03-09T07:56:39.337Z" }, + { url = "https://files.pythonhosted.org/packages/f7/b1/6a88e888052eed951afed7a142dcdf3b149a030ca59b4c71eef085858e43/numpy-2.4.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:737f630a337364665aba3b5a77e56a68cc42d350edd010c345d65a3efa3addcc", size = 18345816, upload-time = "2026-03-09T07:56:42.31Z" }, + { url = "https://files.pythonhosted.org/packages/f3/8f/103a60c5f8c3d7fc678c19cd7b2476110da689ccb80bc18050efbaeae183/numpy-2.4.3-cp312-cp312-win32.whl", hash = "sha256:26952e18d82a1dbbc2f008d402021baa8d6fc8e84347a2072a25e08b46d698b9", size = 5960132, upload-time = "2026-03-09T07:56:44.851Z" }, + { url = "https://files.pythonhosted.org/packages/d7/7c/f5ee1bf6ed888494978046a809df2882aad35d414b622893322df7286879/numpy-2.4.3-cp312-cp312-win_amd64.whl", hash = "sha256:65f3c2455188f09678355f5cae1f959a06b778bc66d535da07bf2ef20cd319d5", size = 12316144, upload-time = "2026-03-09T07:56:47.057Z" }, + { url = "https://files.pythonhosted.org/packages/71/46/8d1cb3f7a00f2fb6394140e7e6623696e54c6318a9d9691bb4904672cf42/numpy-2.4.3-cp312-cp312-win_arm64.whl", hash = "sha256:2abad5c7fef172b3377502bde47892439bae394a71bc329f31df0fd829b41a9e", size = 10220364, upload-time = "2026-03-09T07:56:49.849Z" }, + { url = "https://files.pythonhosted.org/packages/b6/d0/1fe47a98ce0df229238b77611340aff92d52691bcbc10583303181abf7fc/numpy-2.4.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b346845443716c8e542d54112966383b448f4a3ba5c66409771b8c0889485dd3", size = 16665297, upload-time = "2026-03-09T07:56:52.296Z" }, + { url = "https://files.pythonhosted.org/packages/27/d9/4e7c3f0e68dfa91f21c6fb6cf839bc829ec920688b1ce7ec722b1a6202fb/numpy-2.4.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2629289168f4897a3c4e23dc98d6f1731f0fc0fe52fb9db19f974041e4cc12b9", size = 14691853, upload-time = "2026-03-09T07:56:54.992Z" }, + { url = "https://files.pythonhosted.org/packages/3a/66/bd096b13a87549683812b53ab211e6d413497f84e794fb3c39191948da97/numpy-2.4.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:bb2e3cf95854233799013779216c57e153c1ee67a0bf92138acca0e429aefaee", size = 5198435, upload-time = "2026-03-09T07:56:57.184Z" }, + { url = "https://files.pythonhosted.org/packages/a2/2f/687722910b5a5601de2135c891108f51dfc873d8e43c8ed9f4ebb440b4a2/numpy-2.4.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:7f3408ff897f8ab07a07fbe2823d7aee6ff644c097cc1f90382511fe982f647f", size = 6546347, upload-time = "2026-03-09T07:56:59.531Z" }, + { url = "https://files.pythonhosted.org/packages/bf/ec/7971c4e98d86c564750393fab8d7d83d0a9432a9d78bb8a163a6dc59967a/numpy-2.4.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:decb0eb8a53c3b009b0962378065589685d66b23467ef5dac16cbe818afde27f", size = 15664626, upload-time = "2026-03-09T07:57:01.385Z" }, + { url = "https://files.pythonhosted.org/packages/7e/eb/7daecbea84ec935b7fc732e18f532073064a3816f0932a40a17f3349185f/numpy-2.4.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d5f51900414fc9204a0e0da158ba2ac52b75656e7dce7e77fb9f84bfa343b4cc", size = 16608916, upload-time = "2026-03-09T07:57:04.008Z" }, + { url = "https://files.pythonhosted.org/packages/df/58/2a2b4a817ffd7472dca4421d9f0776898b364154e30c95f42195041dc03b/numpy-2.4.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6bd06731541f89cdc01b261ba2c9e037f1543df7472517836b78dfb15bd6e476", size = 17015824, upload-time = "2026-03-09T07:57:06.347Z" }, + { url = "https://files.pythonhosted.org/packages/4a/ca/627a828d44e78a418c55f82dd4caea8ea4a8ef24e5144d9e71016e52fb40/numpy-2.4.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:22654fe6be0e5206f553a9250762c653d3698e46686eee53b399ab90da59bd92", size = 18334581, upload-time = "2026-03-09T07:57:09.114Z" }, + { url = "https://files.pythonhosted.org/packages/cd/c0/76f93962fc79955fcba30a429b62304332345f22d4daec1cb33653425643/numpy-2.4.3-cp313-cp313-win32.whl", hash = "sha256:d71e379452a2f670ccb689ec801b1218cd3983e253105d6e83780967e899d687", size = 5958618, upload-time = "2026-03-09T07:57:11.432Z" }, + { url = "https://files.pythonhosted.org/packages/b1/3c/88af0040119209b9b5cb59485fa48b76f372c73068dbf9254784b975ac53/numpy-2.4.3-cp313-cp313-win_amd64.whl", hash = "sha256:0a60e17a14d640f49146cb38e3f105f571318db7826d9b6fef7e4dce758faecd", size = 12312824, upload-time = "2026-03-09T07:57:13.586Z" }, + { url = "https://files.pythonhosted.org/packages/58/ce/3d07743aced3d173f877c3ef6a454c2174ba42b584ab0b7e6d99374f51ed/numpy-2.4.3-cp313-cp313-win_arm64.whl", hash = "sha256:c9619741e9da2059cd9c3f206110b97583c7152c1dc9f8aafd4beb450ac1c89d", size = 10221218, upload-time = "2026-03-09T07:57:16.183Z" }, + { url = "https://files.pythonhosted.org/packages/62/09/d96b02a91d09e9d97862f4fc8bfebf5400f567d8eb1fe4b0cc4795679c15/numpy-2.4.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7aa4e54f6469300ebca1d9eb80acd5253cdfa36f2c03d79a35883687da430875", size = 14819570, upload-time = "2026-03-09T07:57:18.564Z" }, + { url = "https://files.pythonhosted.org/packages/b5/ca/0b1aba3905fdfa3373d523b2b15b19029f4f3031c87f4066bd9d20ef6c6b/numpy-2.4.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:d1b90d840b25874cf5cd20c219af10bac3667db3876d9a495609273ebe679070", size = 5326113, upload-time = "2026-03-09T07:57:21.052Z" }, + { url = "https://files.pythonhosted.org/packages/c0/63/406e0fd32fcaeb94180fd6a4c41e55736d676c54346b7efbce548b94a914/numpy-2.4.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:a749547700de0a20a6718293396ec237bb38218049cfce788e08fcb716e8cf73", size = 6646370, upload-time = "2026-03-09T07:57:22.804Z" }, + { url = "https://files.pythonhosted.org/packages/b6/d0/10f7dc157d4b37af92720a196be6f54f889e90dcd30dce9dc657ed92c257/numpy-2.4.3-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:94f3c4a151a2e529adf49c1d54f0f57ff8f9b233ee4d44af623a81553ab86368", size = 15723499, upload-time = "2026-03-09T07:57:24.693Z" }, + { url = "https://files.pythonhosted.org/packages/66/f1/d1c2bf1161396629701bc284d958dc1efa3a5a542aab83cf11ee6eb4cba5/numpy-2.4.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22c31dc07025123aedf7f2db9e91783df13f1776dc52c6b22c620870dc0fab22", size = 16657164, upload-time = "2026-03-09T07:57:27.676Z" }, + { url = "https://files.pythonhosted.org/packages/1a/be/cca19230b740af199ac47331a21c71e7a3d0ba59661350483c1600d28c37/numpy-2.4.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:148d59127ac95979d6f07e4d460f934ebdd6eed641db9c0db6c73026f2b2101a", size = 17081544, upload-time = "2026-03-09T07:57:30.664Z" }, + { url = "https://files.pythonhosted.org/packages/b9/c5/9602b0cbb703a0936fb40f8a95407e8171935b15846de2f0776e08af04c7/numpy-2.4.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a97cbf7e905c435865c2d939af3d93f99d18eaaa3cabe4256f4304fb51604349", size = 18380290, upload-time = "2026-03-09T07:57:33.763Z" }, + { url = "https://files.pythonhosted.org/packages/ed/81/9f24708953cd30be9ee36ec4778f4b112b45165812f2ada4cc5ea1c1f254/numpy-2.4.3-cp313-cp313t-win32.whl", hash = "sha256:be3b8487d725a77acccc9924f65fd8bce9af7fac8c9820df1049424a2115af6c", size = 6082814, upload-time = "2026-03-09T07:57:36.491Z" }, + { url = "https://files.pythonhosted.org/packages/e2/9e/52f6eaa13e1a799f0ab79066c17f7016a4a8ae0c1aefa58c82b4dab690b4/numpy-2.4.3-cp313-cp313t-win_amd64.whl", hash = "sha256:1ec84fd7c8e652b0f4aaaf2e6e9cc8eaa9b1b80a537e06b2e3a2fb176eedcb26", size = 12452673, upload-time = "2026-03-09T07:57:38.281Z" }, + { url = "https://files.pythonhosted.org/packages/c4/04/b8cece6ead0b30c9fbd99bb835ad7ea0112ac5f39f069788c5558e3b1ab2/numpy-2.4.3-cp313-cp313t-win_arm64.whl", hash = "sha256:120df8c0a81ebbf5b9020c91439fccd85f5e018a927a39f624845be194a2be02", size = 10290907, upload-time = "2026-03-09T07:57:40.747Z" }, + { url = "https://files.pythonhosted.org/packages/70/ae/3936f79adebf8caf81bd7a599b90a561334a658be4dcc7b6329ebf4ee8de/numpy-2.4.3-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:5884ce5c7acfae1e4e1b6fde43797d10aa506074d25b531b4f54bde33c0c31d4", size = 16664563, upload-time = "2026-03-09T07:57:43.817Z" }, + { url = "https://files.pythonhosted.org/packages/9b/62/760f2b55866b496bb1fa7da2a6db076bef908110e568b02fcfc1422e2a3a/numpy-2.4.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:297837823f5bc572c5f9379b0c9f3a3365f08492cbdc33bcc3af174372ebb168", size = 14702161, upload-time = "2026-03-09T07:57:46.169Z" }, + { url = "https://files.pythonhosted.org/packages/32/af/a7a39464e2c0a21526fb4fb76e346fb172ebc92f6d1c7a07c2c139cc17b1/numpy-2.4.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:a111698b4a3f8dcbe54c64a7708f049355abd603e619013c346553c1fd4ca90b", size = 5208738, upload-time = "2026-03-09T07:57:48.506Z" }, + { url = "https://files.pythonhosted.org/packages/29/8c/2a0cf86a59558fa078d83805589c2de490f29ed4fb336c14313a161d358a/numpy-2.4.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:4bd4741a6a676770e0e97fe9ab2e51de01183df3dcbcec591d26d331a40de950", size = 6543618, upload-time = "2026-03-09T07:57:50.591Z" }, + { url = "https://files.pythonhosted.org/packages/aa/b8/612ce010c0728b1c363fa4ea3aa4c22fe1c5da1de008486f8c2f5cb92fae/numpy-2.4.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:54f29b877279d51e210e0c80709ee14ccbbad647810e8f3d375561c45ef613dd", size = 15680676, upload-time = "2026-03-09T07:57:52.34Z" }, + { url = "https://files.pythonhosted.org/packages/a9/7e/4f120ecc54ba26ddf3dc348eeb9eb063f421de65c05fc961941798feea18/numpy-2.4.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:679f2a834bae9020f81534671c56fd0cc76dd7e5182f57131478e23d0dc59e24", size = 16613492, upload-time = "2026-03-09T07:57:54.91Z" }, + { url = "https://files.pythonhosted.org/packages/2c/86/1b6020db73be330c4b45d5c6ee4295d59cfeef0e3ea323959d053e5a6909/numpy-2.4.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d84f0f881cb2225c2dfd7f78a10a5645d487a496c6668d6cc39f0f114164f3d0", size = 17031789, upload-time = "2026-03-09T07:57:57.641Z" }, + { url = "https://files.pythonhosted.org/packages/07/3a/3b90463bf41ebc21d1b7e06079f03070334374208c0f9a1f05e4ae8455e7/numpy-2.4.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d213c7e6e8d211888cc359bab7199670a00f5b82c0978b9d1c75baf1eddbeac0", size = 18339941, upload-time = "2026-03-09T07:58:00.577Z" }, + { url = "https://files.pythonhosted.org/packages/a8/74/6d736c4cd962259fd8bae9be27363eb4883a2f9069763747347544c2a487/numpy-2.4.3-cp314-cp314-win32.whl", hash = "sha256:52077feedeff7c76ed7c9f1a0428558e50825347b7545bbb8523da2cd55c547a", size = 6007503, upload-time = "2026-03-09T07:58:03.331Z" }, + { url = "https://files.pythonhosted.org/packages/48/39/c56ef87af669364356bb011922ef0734fc49dad51964568634c72a009488/numpy-2.4.3-cp314-cp314-win_amd64.whl", hash = "sha256:0448e7f9caefb34b4b7dd2b77f21e8906e5d6f0365ad525f9f4f530b13df2afc", size = 12444915, upload-time = "2026-03-09T07:58:06.353Z" }, + { url = "https://files.pythonhosted.org/packages/9d/1f/ab8528e38d295fd349310807496fabb7cf9fe2e1f70b97bc20a483ea9d4a/numpy-2.4.3-cp314-cp314-win_arm64.whl", hash = "sha256:b44fd60341c4d9783039598efadd03617fa28d041fc37d22b62d08f2027fa0e7", size = 10494875, upload-time = "2026-03-09T07:58:08.734Z" }, + { url = "https://files.pythonhosted.org/packages/e6/ef/b7c35e4d5ef141b836658ab21a66d1a573e15b335b1d111d31f26c8ef80f/numpy-2.4.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0a195f4216be9305a73c0e91c9b026a35f2161237cf1c6de9b681637772ea657", size = 14822225, upload-time = "2026-03-09T07:58:11.034Z" }, + { url = "https://files.pythonhosted.org/packages/cd/8d/7730fa9278cf6648639946cc816e7cc89f0d891602584697923375f801ed/numpy-2.4.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:cd32fbacb9fd1bf041bf8e89e4576b6f00b895f06d00914820ae06a616bdfef7", size = 5328769, upload-time = "2026-03-09T07:58:13.67Z" }, + { url = "https://files.pythonhosted.org/packages/47/01/d2a137317c958b074d338807c1b6a383406cdf8b8e53b075d804cc3d211d/numpy-2.4.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:2e03c05abaee1f672e9d67bc858f300b5ccba1c21397211e8d77d98350972093", size = 6649461, upload-time = "2026-03-09T07:58:15.912Z" }, + { url = "https://files.pythonhosted.org/packages/5c/34/812ce12bc0f00272a4b0ec0d713cd237cb390666eb6206323d1cc9cedbb2/numpy-2.4.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d1ce23cce91fcea443320a9d0ece9b9305d4368875bab09538f7a5b4131938a", size = 15725809, upload-time = "2026-03-09T07:58:17.787Z" }, + { url = "https://files.pythonhosted.org/packages/25/c0/2aed473a4823e905e765fee3dc2cbf504bd3e68ccb1150fbdabd5c39f527/numpy-2.4.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c59020932feb24ed49ffd03704fbab89f22aa9c0d4b180ff45542fe8918f5611", size = 16655242, upload-time = "2026-03-09T07:58:20.476Z" }, + { url = "https://files.pythonhosted.org/packages/f2/c8/7e052b2fc87aa0e86de23f20e2c42bd261c624748aa8efd2c78f7bb8d8c6/numpy-2.4.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:9684823a78a6cd6ad7511fc5e25b07947d1d5b5e2812c93fe99d7d4195130720", size = 17080660, upload-time = "2026-03-09T07:58:23.067Z" }, + { url = "https://files.pythonhosted.org/packages/f3/3d/0876746044db2adcb11549f214d104f2e1be00f07a67edbb4e2812094847/numpy-2.4.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0200b25c687033316fb39f0ff4e3e690e8957a2c3c8d22499891ec58c37a3eb5", size = 18380384, upload-time = "2026-03-09T07:58:25.839Z" }, + { url = "https://files.pythonhosted.org/packages/07/12/8160bea39da3335737b10308df4f484235fd297f556745f13092aa039d3b/numpy-2.4.3-cp314-cp314t-win32.whl", hash = "sha256:5e10da9e93247e554bb1d22f8edc51847ddd7dde52d85ce31024c1b4312bfba0", size = 6154547, upload-time = "2026-03-09T07:58:28.289Z" }, + { url = "https://files.pythonhosted.org/packages/42/f3/76534f61f80d74cc9cdf2e570d3d4eeb92c2280a27c39b0aaf471eda7b48/numpy-2.4.3-cp314-cp314t-win_amd64.whl", hash = "sha256:45f003dbdffb997a03da2d1d0cb41fbd24a87507fb41605c0420a3db5bd4667b", size = 12633645, upload-time = "2026-03-09T07:58:30.384Z" }, + { url = "https://files.pythonhosted.org/packages/1f/b6/7c0d4334c15983cec7f92a69e8ce9b1e6f31857e5ee3a413ac424e6bd63d/numpy-2.4.3-cp314-cp314t-win_arm64.whl", hash = "sha256:4d382735cecd7bcf090172489a525cd7d4087bc331f7df9f60ddc9a296cf208e", size = 10565454, upload-time = "2026-03-09T07:58:33.031Z" }, + { url = "https://files.pythonhosted.org/packages/64/e4/4dab9fb43c83719c29241c535d9e07be73bea4bc0c6686c5816d8e1b6689/numpy-2.4.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c6b124bfcafb9e8d3ed09130dbee44848c20b3e758b6bbf006e641778927c028", size = 16834892, upload-time = "2026-03-09T07:58:35.334Z" }, + { url = "https://files.pythonhosted.org/packages/c9/29/f8b6d4af90fed3dfda84ebc0df06c9833d38880c79ce954e5b661758aa31/numpy-2.4.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:76dbb9d4e43c16cf9aa711fcd8de1e2eeb27539dcefb60a1d5e9f12fae1d1ed8", size = 14893070, upload-time = "2026-03-09T07:58:37.7Z" }, + { url = "https://files.pythonhosted.org/packages/9a/04/a19b3c91dbec0a49269407f15d5753673a09832daed40c45e8150e6fa558/numpy-2.4.3-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:29363fbfa6f8ee855d7569c96ce524845e3d726d6c19b29eceec7dd555dab152", size = 5399609, upload-time = "2026-03-09T07:58:39.853Z" }, + { url = "https://files.pythonhosted.org/packages/79/34/4d73603f5420eab89ea8a67097b31364bf7c30f811d4dd84b1659c7476d9/numpy-2.4.3-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:bc71942c789ef415a37f0d4eab90341425a00d538cd0642445d30b41023d3395", size = 6714355, upload-time = "2026-03-09T07:58:42.365Z" }, + { url = "https://files.pythonhosted.org/packages/58/ad/1100d7229bb248394939a12a8074d485b655e8ed44207d328fdd7fcebc7b/numpy-2.4.3-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e58765ad74dcebd3ef0208a5078fba32dc8ec3578fe84a604432950cd043d79", size = 15800434, upload-time = "2026-03-09T07:58:44.837Z" }, + { url = "https://files.pythonhosted.org/packages/0c/fd/16d710c085d28ba4feaf29ac60c936c9d662e390344f94a6beaa2ac9899b/numpy-2.4.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e236dbda4e1d319d681afcbb136c0c4a8e0f1a5c58ceec2adebb547357fe857", size = 16729409, upload-time = "2026-03-09T07:58:47.972Z" }, + { url = "https://files.pythonhosted.org/packages/57/a7/b35835e278c18b85206834b3aa3abe68e77a98769c59233d1f6300284781/numpy-2.4.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:4b42639cdde6d24e732ff823a3fa5b701d8acad89c4142bc1d0bd6dc85200ba5", size = 12504685, upload-time = "2026-03-09T07:58:50.525Z" }, +] + +[[package]] +name = "nvidia-cublas-cu12" +version = "12.8.4.1" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/dc/61/e24b560ab2e2eaeb3c839129175fb330dfcfc29e5203196e5541a4c44682/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142", size = 594346921, upload-time = "2025-03-07T01:44:31.254Z" }, +] + +[[package]] +name = "nvidia-cuda-cupti-cu12" +version = "12.8.90" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" }, +] + +[[package]] +name = "nvidia-cuda-nvrtc-cu12" +version = "12.8.93" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/05/6b/32f747947df2da6994e999492ab306a903659555dddc0fbdeb9d71f75e52/nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994", size = 88040029, upload-time = "2025-03-07T01:42:13.562Z" }, +] + +[[package]] +name = "nvidia-cuda-runtime-cu12" +version = "12.8.90" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0d/9b/a997b638fcd068ad6e4d53b8551a7d30fe8b404d6f1804abf1df69838932/nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90", size = 954765, upload-time = "2025-03-07T01:40:01.615Z" }, +] + +[[package]] +name = "nvidia-cudnn-cu12" +version = "9.10.2.21" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" }, +] + +[[package]] +name = "nvidia-cufft-cu12" +version = "11.3.3.83" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" }, +] + +[[package]] +name = "nvidia-cufile-cu12" +version = "1.13.1.3" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/bb/fe/1bcba1dfbfb8d01be8d93f07bfc502c93fa23afa6fd5ab3fc7c1df71038a/nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc", size = 1197834, upload-time = "2025-03-07T01:45:50.723Z" }, +] + +[[package]] +name = "nvidia-curand-cu12" +version = "10.3.9.90" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fb/aa/6584b56dc84ebe9cf93226a5cde4d99080c8e90ab40f0c27bda7a0f29aa1/nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9", size = 63619976, upload-time = "2025-03-07T01:46:23.323Z" }, +] + +[[package]] +name = "nvidia-cusolver-cu12" +version = "11.7.3.90" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-cusparse-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" }, +] + +[[package]] +name = "nvidia-cusparse-cu12" +version = "12.5.8.93" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" }, +] + +[[package]] +name = "nvidia-cusparselt-cu12" +version = "0.7.1" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/56/79/12978b96bd44274fe38b5dde5cfb660b1d114f70a65ef962bcbbed99b549/nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623", size = 287193691, upload-time = "2025-02-26T00:15:44.104Z" }, +] + +[[package]] +name = "nvidia-nccl-cu12" +version = "2.27.5" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6e/89/f7a07dc961b60645dbbf42e80f2bc85ade7feb9a491b11a1e973aa00071f/nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457", size = 322348229, upload-time = "2025-06-26T04:11:28.385Z" }, +] + +[[package]] +name = "nvidia-nvjitlink-cu12" +version = "12.8.93" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f6/74/86a07f1d0f42998ca31312f998bd3b9a7eff7f52378f4f270c8679c77fb9/nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88", size = 39254836, upload-time = "2025-03-07T01:49:55.661Z" }, +] + +[[package]] +name = "nvidia-nvshmem-cu12" +version = "3.4.5" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b5/09/6ea3ea725f82e1e76684f0708bbedd871fc96da89945adeba65c3835a64c/nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd", size = 139103095, upload-time = "2025-09-06T00:32:31.266Z" }, +] + +[[package]] +name = "nvidia-nvtx-cu12" +version = "12.8.90" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a2/eb/86626c1bbc2edb86323022371c39aa48df6fd8b0a1647bc274577f72e90b/nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f", size = 89954, upload-time = "2025-03-07T01:42:44.131Z" }, +] + +[[package]] +name = "opentelemetry-api" +version = "1.40.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "importlib-metadata" }, + { name = "typing-extensions" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2c/1d/4049a9e8698361cc1a1aa03a6c59e4fa4c71e0c0f94a30f988a6876a2ae6/opentelemetry_api-1.40.0.tar.gz", hash = "sha256:159be641c0b04d11e9ecd576906462773eb97ae1b657730f0ecf64d32071569f", size = 70851, upload-time = "2026-03-04T14:17:21.555Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5f/bf/93795954016c522008da367da292adceed71cca6ee1717e1d64c83089099/opentelemetry_api-1.40.0-py3-none-any.whl", hash = "sha256:82dd69331ae74b06f6a874704be0cfaa49a1650e1537d4a813b86ecef7d0ecf9", size = 68676, upload-time = "2026-03-04T14:17:01.24Z" }, +] + +[[package]] +name = "orjson" +version = "3.11.7" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/53/45/b268004f745ede84e5798b48ee12b05129d19235d0e15267aa57dcdb400b/orjson-3.11.7.tar.gz", hash = "sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49", size = 6144992, upload-time = "2026-02-02T15:38:49.29Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/de/1a/a373746fa6d0e116dd9e54371a7b54622c44d12296d5d0f3ad5e3ff33490/orjson-3.11.7-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a02c833f38f36546ba65a452127633afce4cf0dd7296b753d3bb54e55e5c0174", size = 229140, upload-time = "2026-02-02T15:37:06.082Z" }, + { url = "https://files.pythonhosted.org/packages/52/a2/fa129e749d500f9b183e8a3446a193818a25f60261e9ce143ad61e975208/orjson-3.11.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b63c6e6738d7c3470ad01601e23376aa511e50e1f3931395b9f9c722406d1a67", size = 128670, upload-time = "2026-02-02T15:37:08.002Z" }, + { url = "https://files.pythonhosted.org/packages/08/93/1e82011cd1e0bd051ef9d35bed1aa7fb4ea1f0a055dc2c841b46b43a9ebd/orjson-3.11.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:043d3006b7d32c7e233b8cfb1f01c651013ea079e08dcef7189a29abd8befe11", size = 123832, upload-time = "2026-02-02T15:37:09.191Z" }, + { url = "https://files.pythonhosted.org/packages/fe/d8/a26b431ef962c7d55736674dddade876822f3e33223c1f47a36879350d04/orjson-3.11.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57036b27ac8a25d81112eb0cc9835cd4833c5b16e1467816adc0015f59e870dc", size = 129171, upload-time = "2026-02-02T15:37:11.112Z" }, + { url = "https://files.pythonhosted.org/packages/a7/19/f47819b84a580f490da260c3ee9ade214cf4cf78ac9ce8c1c758f80fdfc9/orjson-3.11.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:733ae23ada68b804b222c44affed76b39e30806d38660bf1eb200520d259cc16", size = 141967, upload-time = "2026-02-02T15:37:12.282Z" }, + { url = "https://files.pythonhosted.org/packages/5b/cd/37ece39a0777ba077fdcdbe4cccae3be8ed00290c14bf8afdc548befc260/orjson-3.11.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5fdfad2093bdd08245f2e204d977facd5f871c88c4a71230d5bcbd0e43bf6222", size = 130991, upload-time = "2026-02-02T15:37:13.465Z" }, + { url = "https://files.pythonhosted.org/packages/8f/ed/f2b5d66aa9b6b5c02ff5f120efc7b38c7c4962b21e6be0f00fd99a5c348e/orjson-3.11.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cededd6738e1c153530793998e31c05086582b08315db48ab66649768f326baa", size = 133674, upload-time = "2026-02-02T15:37:14.694Z" }, + { url = "https://files.pythonhosted.org/packages/c4/6e/baa83e68d1aa09fa8c3e5b2c087d01d0a0bd45256de719ed7bc22c07052d/orjson-3.11.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:14f440c7268c8f8633d1b3d443a434bd70cb15686117ea6beff8fdc8f5917a1e", size = 138722, upload-time = "2026-02-02T15:37:16.501Z" }, + { url = "https://files.pythonhosted.org/packages/0c/47/7f8ef4963b772cd56999b535e553f7eb5cd27e9dd6c049baee6f18bfa05d/orjson-3.11.7-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:3a2479753bbb95b0ebcf7969f562cdb9668e6d12416a35b0dda79febf89cdea2", size = 409056, upload-time = "2026-02-02T15:37:17.895Z" }, + { url = "https://files.pythonhosted.org/packages/38/eb/2df104dd2244b3618f25325a656f85cc3277f74bbd91224752410a78f3c7/orjson-3.11.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:71924496986275a737f38e3f22b4e0878882b3f7a310d2ff4dc96e812789120c", size = 144196, upload-time = "2026-02-02T15:37:19.349Z" }, + { url = "https://files.pythonhosted.org/packages/b6/2a/ee41de0aa3a6686598661eae2b4ebdff1340c65bfb17fcff8b87138aab21/orjson-3.11.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4a9eefdc70bf8bf9857f0290f973dec534ac84c35cd6a7f4083be43e7170a8f", size = 134979, upload-time = "2026-02-02T15:37:20.906Z" }, + { url = "https://files.pythonhosted.org/packages/4c/fa/92fc5d3d402b87a8b28277a9ed35386218a6a5287c7fe5ee9b9f02c53fb2/orjson-3.11.7-cp310-cp310-win32.whl", hash = "sha256:ae9e0b37a834cef7ce8f99de6498f8fad4a2c0bf6bfc3d02abd8ed56aa15b2de", size = 127968, upload-time = "2026-02-02T15:37:23.178Z" }, + { url = "https://files.pythonhosted.org/packages/07/29/a576bf36d73d60df06904d3844a9df08e25d59eba64363aaf8ec2f9bff41/orjson-3.11.7-cp310-cp310-win_amd64.whl", hash = "sha256:d772afdb22555f0c58cfc741bdae44180122b3616faa1ecadb595cd526e4c993", size = 125128, upload-time = "2026-02-02T15:37:24.329Z" }, + { url = "https://files.pythonhosted.org/packages/37/02/da6cb01fc6087048d7f61522c327edf4250f1683a58a839fdcc435746dd5/orjson-3.11.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9487abc2c2086e7c8eb9a211d2ce8855bae0e92586279d0d27b341d5ad76c85c", size = 228664, upload-time = "2026-02-02T15:37:25.542Z" }, + { url = "https://files.pythonhosted.org/packages/c1/c2/5885e7a5881dba9a9af51bc564e8967225a642b3e03d089289a35054e749/orjson-3.11.7-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:79cacb0b52f6004caf92405a7e1f11e6e2de8bdf9019e4f76b44ba045125cd6b", size = 125344, upload-time = "2026-02-02T15:37:26.92Z" }, + { url = "https://files.pythonhosted.org/packages/a4/1d/4e7688de0a92d1caf600dfd5fb70b4c5bfff51dfa61ac555072ef2d0d32a/orjson-3.11.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2e85fe4698b6a56d5e2ebf7ae87544d668eb6bde1ad1226c13f44663f20ec9e", size = 128404, upload-time = "2026-02-02T15:37:28.108Z" }, + { url = "https://files.pythonhosted.org/packages/2f/b2/ec04b74ae03a125db7bd69cffd014b227b7f341e3261bf75b5eb88a1aa92/orjson-3.11.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b8d14b71c0b12963fe8a62aac87119f1afdf4cb88a400f61ca5ae581449efcb5", size = 123677, upload-time = "2026-02-02T15:37:30.287Z" }, + { url = "https://files.pythonhosted.org/packages/4c/69/f95bdf960605f08f827f6e3291fe243d8aa9c5c9ff017a8d7232209184c3/orjson-3.11.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91c81ef070c8f3220054115e1ef468b1c9ce8497b4e526cb9f68ab4dc0a7ac62", size = 128950, upload-time = "2026-02-02T15:37:31.595Z" }, + { url = "https://files.pythonhosted.org/packages/a4/1b/de59c57bae1d148ef298852abd31909ac3089cff370dfd4cd84cc99cbc42/orjson-3.11.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:411ebaf34d735e25e358a6d9e7978954a9c9d58cfb47bc6683cdc3964cd2f910", size = 141756, upload-time = "2026-02-02T15:37:32.985Z" }, + { url = "https://files.pythonhosted.org/packages/ee/9e/9decc59f4499f695f65c650f6cfa6cd4c37a3fbe8fa235a0a3614cb54386/orjson-3.11.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a16bcd08ab0bcdfc7e8801d9c4a9cc17e58418e4d48ddc6ded4e9e4b1a94062b", size = 130812, upload-time = "2026-02-02T15:37:34.204Z" }, + { url = "https://files.pythonhosted.org/packages/28/e6/59f932bcabd1eac44e334fe8e3281a92eacfcb450586e1f4bde0423728d8/orjson-3.11.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c0b51672e466fd7e56230ffbae7f1639e18d0ce023351fb75da21b71bc2c960", size = 133444, upload-time = "2026-02-02T15:37:35.446Z" }, + { url = "https://files.pythonhosted.org/packages/f1/36/b0f05c0eaa7ca30bc965e37e6a2956b0d67adb87a9872942d3568da846ae/orjson-3.11.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:136dcd6a2e796dfd9ffca9fc027d778567b0b7c9968d092842d3c323cef88aa8", size = 138609, upload-time = "2026-02-02T15:37:36.657Z" }, + { url = "https://files.pythonhosted.org/packages/b8/03/58ec7d302b8d86944c60c7b4b82975d5161fcce4c9bc8c6cb1d6741b6115/orjson-3.11.7-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:7ba61079379b0ae29e117db13bda5f28d939766e410d321ec1624afc6a0b0504", size = 408918, upload-time = "2026-02-02T15:37:38.076Z" }, + { url = "https://files.pythonhosted.org/packages/06/3a/868d65ef9a8b99be723bd510de491349618abd9f62c826cf206d962db295/orjson-3.11.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:0527a4510c300e3b406591b0ba69b5dc50031895b0a93743526a3fc45f59d26e", size = 143998, upload-time = "2026-02-02T15:37:39.706Z" }, + { url = "https://files.pythonhosted.org/packages/5b/c7/1e18e1c83afe3349f4f6dc9e14910f0ae5f82eac756d1412ea4018938535/orjson-3.11.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a709e881723c9b18acddcfb8ba357322491ad553e277cf467e1e7e20e2d90561", size = 134802, upload-time = "2026-02-02T15:37:41.002Z" }, + { url = "https://files.pythonhosted.org/packages/d4/0b/ccb7ee1a65b37e8eeb8b267dc953561d72370e85185e459616d4345bab34/orjson-3.11.7-cp311-cp311-win32.whl", hash = "sha256:c43b8b5bab288b6b90dac410cca7e986a4fa747a2e8f94615aea407da706980d", size = 127828, upload-time = "2026-02-02T15:37:42.241Z" }, + { url = "https://files.pythonhosted.org/packages/af/9e/55c776dffda3f381e0f07d010a4f5f3902bf48eaba1bb7684d301acd4924/orjson-3.11.7-cp311-cp311-win_amd64.whl", hash = "sha256:6543001328aa857187f905308a028935864aefe9968af3848401b6fe80dbb471", size = 124941, upload-time = "2026-02-02T15:37:43.444Z" }, + { url = "https://files.pythonhosted.org/packages/aa/8e/424a620fa7d263b880162505fb107ef5e0afaa765b5b06a88312ac291560/orjson-3.11.7-cp311-cp311-win_arm64.whl", hash = "sha256:1ee5cc7160a821dfe14f130bc8e63e7611051f964b463d9e2a3a573204446a4d", size = 126245, upload-time = "2026-02-02T15:37:45.18Z" }, + { url = "https://files.pythonhosted.org/packages/80/bf/76f4f1665f6983385938f0e2a5d7efa12a58171b8456c252f3bae8a4cf75/orjson-3.11.7-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:bd03ea7606833655048dab1a00734a2875e3e86c276e1d772b2a02556f0d895f", size = 228545, upload-time = "2026-02-02T15:37:46.376Z" }, + { url = "https://files.pythonhosted.org/packages/79/53/6c72c002cb13b5a978a068add59b25a8bdf2800ac1c9c8ecdb26d6d97064/orjson-3.11.7-cp312-cp312-macosx_15_0_arm64.whl", hash = "sha256:89e440ebc74ce8ab5c7bc4ce6757b4a6b1041becb127df818f6997b5c71aa60b", size = 125224, upload-time = "2026-02-02T15:37:47.697Z" }, + { url = "https://files.pythonhosted.org/packages/2c/83/10e48852865e5dd151bdfe652c06f7da484578ed02c5fca938e3632cb0b8/orjson-3.11.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ede977b5fe5ac91b1dffc0a517ca4542d2ec8a6a4ff7b2652d94f640796342a", size = 128154, upload-time = "2026-02-02T15:37:48.954Z" }, + { url = "https://files.pythonhosted.org/packages/6e/52/a66e22a2b9abaa374b4a081d410edab6d1e30024707b87eab7c734afe28d/orjson-3.11.7-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b7b1dae39230a393df353827c855a5f176271c23434cfd2db74e0e424e693e10", size = 123548, upload-time = "2026-02-02T15:37:50.187Z" }, + { url = "https://files.pythonhosted.org/packages/de/38/605d371417021359f4910c496f764c48ceb8997605f8c25bf1dfe58c0ebe/orjson-3.11.7-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed46f17096e28fb28d2975834836a639af7278aa87c84f68ab08fbe5b8bd75fa", size = 129000, upload-time = "2026-02-02T15:37:51.426Z" }, + { url = "https://files.pythonhosted.org/packages/44/98/af32e842b0ffd2335c89714d48ca4e3917b42f5d6ee5537832e069a4b3ac/orjson-3.11.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3726be79e36e526e3d9c1aceaadbfb4a04ee80a72ab47b3f3c17fefb9812e7b8", size = 141686, upload-time = "2026-02-02T15:37:52.607Z" }, + { url = "https://files.pythonhosted.org/packages/96/0b/fc793858dfa54be6feee940c1463370ece34b3c39c1ca0aa3845f5ba9892/orjson-3.11.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0724e265bc548af1dedebd9cb3d24b4e1c1e685a343be43e87ba922a5c5fff2f", size = 130812, upload-time = "2026-02-02T15:37:53.944Z" }, + { url = "https://files.pythonhosted.org/packages/dc/91/98a52415059db3f374757d0b7f0f16e3b5cd5976c90d1c2b56acaea039e6/orjson-3.11.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7745312efa9e11c17fbd3cb3097262d079da26930ae9ae7ba28fb738367cbad", size = 133440, upload-time = "2026-02-02T15:37:55.615Z" }, + { url = "https://files.pythonhosted.org/packages/dc/b6/cb540117bda61791f46381f8c26c8f93e802892830a6055748d3bb1925ab/orjson-3.11.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f904c24bdeabd4298f7a977ef14ca2a022ca921ed670b92ecd16ab6f3d01f867", size = 138386, upload-time = "2026-02-02T15:37:56.814Z" }, + { url = "https://files.pythonhosted.org/packages/63/1a/50a3201c334a7f17c231eee5f841342190723794e3b06293f26e7cf87d31/orjson-3.11.7-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:b9fc4d0f81f394689e0814617aadc4f2ea0e8025f38c226cbf22d3b5ddbf025d", size = 408853, upload-time = "2026-02-02T15:37:58.291Z" }, + { url = "https://files.pythonhosted.org/packages/87/cd/8de1c67d0be44fdc22701e5989c0d015a2adf391498ad42c4dc589cd3013/orjson-3.11.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:849e38203e5be40b776ed2718e587faf204d184fc9a008ae441f9442320c0cab", size = 144130, upload-time = "2026-02-02T15:38:00.163Z" }, + { url = "https://files.pythonhosted.org/packages/0f/fe/d605d700c35dd55f51710d159fc54516a280923cd1b7e47508982fbb387d/orjson-3.11.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4682d1db3bcebd2b64757e0ddf9e87ae5f00d29d16c5cdf3a62f561d08cc3dd2", size = 134818, upload-time = "2026-02-02T15:38:01.507Z" }, + { url = "https://files.pythonhosted.org/packages/e4/e4/15ecc67edb3ddb3e2f46ae04475f2d294e8b60c1825fbe28a428b93b3fbd/orjson-3.11.7-cp312-cp312-win32.whl", hash = "sha256:f4f7c956b5215d949a1f65334cf9d7612dde38f20a95f2315deef167def91a6f", size = 127923, upload-time = "2026-02-02T15:38:02.75Z" }, + { url = "https://files.pythonhosted.org/packages/34/70/2e0855361f76198a3965273048c8e50a9695d88cd75811a5b46444895845/orjson-3.11.7-cp312-cp312-win_amd64.whl", hash = "sha256:bf742e149121dc5648ba0a08ea0871e87b660467ef168a3a5e53bc1fbd64bb74", size = 125007, upload-time = "2026-02-02T15:38:04.032Z" }, + { url = "https://files.pythonhosted.org/packages/68/40/c2051bd19fc467610fed469dc29e43ac65891571138f476834ca192bc290/orjson-3.11.7-cp312-cp312-win_arm64.whl", hash = "sha256:26c3b9132f783b7d7903bf1efb095fed8d4a3a85ec0d334ee8beff3d7a4749d5", size = 126089, upload-time = "2026-02-02T15:38:05.297Z" }, + { url = "https://files.pythonhosted.org/packages/89/25/6e0e52cac5aab51d7b6dcd257e855e1dec1c2060f6b28566c509b4665f62/orjson-3.11.7-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1d98b30cc1313d52d4af17d9c3d307b08389752ec5f2e5febdfada70b0f8c733", size = 228390, upload-time = "2026-02-02T15:38:06.8Z" }, + { url = "https://files.pythonhosted.org/packages/a5/29/a77f48d2fc8a05bbc529e5ff481fb43d914f9e383ea2469d4f3d51df3d00/orjson-3.11.7-cp313-cp313-macosx_15_0_arm64.whl", hash = "sha256:d897e81f8d0cbd2abb82226d1860ad2e1ab3ff16d7b08c96ca00df9d45409ef4", size = 125189, upload-time = "2026-02-02T15:38:08.181Z" }, + { url = "https://files.pythonhosted.org/packages/89/25/0a16e0729a0e6a1504f9d1a13cdd365f030068aab64cec6958396b9969d7/orjson-3.11.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:814be4b49b228cfc0b3c565acf642dd7d13538f966e3ccde61f4f55be3e20785", size = 128106, upload-time = "2026-02-02T15:38:09.41Z" }, + { url = "https://files.pythonhosted.org/packages/66/da/a2e505469d60666a05ab373f1a6322eb671cb2ba3a0ccfc7d4bc97196787/orjson-3.11.7-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d06e5c5fed5caedd2e540d62e5b1c25e8c82431b9e577c33537e5fa4aa909539", size = 123363, upload-time = "2026-02-02T15:38:10.73Z" }, + { url = "https://files.pythonhosted.org/packages/23/bf/ed73f88396ea35c71b38961734ea4a4746f7ca0768bf28fd551d37e48dd0/orjson-3.11.7-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31c80ce534ac4ea3739c5ee751270646cbc46e45aea7576a38ffec040b4029a1", size = 129007, upload-time = "2026-02-02T15:38:12.138Z" }, + { url = "https://files.pythonhosted.org/packages/73/3c/b05d80716f0225fc9008fbf8ab22841dcc268a626aa550561743714ce3bf/orjson-3.11.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f50979824bde13d32b4320eedd513431c921102796d86be3eee0b58e58a3ecd1", size = 141667, upload-time = "2026-02-02T15:38:13.398Z" }, + { url = "https://files.pythonhosted.org/packages/61/e8/0be9b0addd9bf86abfc938e97441dcd0375d494594b1c8ad10fe57479617/orjson-3.11.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e54f3808e2b6b945078c41aa8d9b5834b28c50843846e97807e5adb75fa9705", size = 130832, upload-time = "2026-02-02T15:38:14.698Z" }, + { url = "https://files.pythonhosted.org/packages/c9/ec/c68e3b9021a31d9ec15a94931db1410136af862955854ed5dd7e7e4f5bff/orjson-3.11.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a12b80df61aab7b98b490fe9e4879925ba666fccdfcd175252ce4d9035865ace", size = 133373, upload-time = "2026-02-02T15:38:16.109Z" }, + { url = "https://files.pythonhosted.org/packages/d2/45/f3466739aaafa570cc8e77c6dbb853c48bf56e3b43738020e2661e08b0ac/orjson-3.11.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:996b65230271f1a97026fd0e6a753f51fbc0c335d2ad0c6201f711b0da32693b", size = 138307, upload-time = "2026-02-02T15:38:17.453Z" }, + { url = "https://files.pythonhosted.org/packages/e1/84/9f7f02288da1ffb31405c1be07657afd1eecbcb4b64ee2817b6fe0f785fa/orjson-3.11.7-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:ab49d4b2a6a1d415ddb9f37a21e02e0d5dbfe10b7870b21bf779fc21e9156157", size = 408695, upload-time = "2026-02-02T15:38:18.831Z" }, + { url = "https://files.pythonhosted.org/packages/18/07/9dd2f0c0104f1a0295ffbe912bc8d63307a539b900dd9e2c48ef7810d971/orjson-3.11.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:390a1dce0c055ddf8adb6aa94a73b45a4a7d7177b5c584b8d1c1947f2ba60fb3", size = 144099, upload-time = "2026-02-02T15:38:20.28Z" }, + { url = "https://files.pythonhosted.org/packages/a5/66/857a8e4a3292e1f7b1b202883bcdeb43a91566cf59a93f97c53b44bd6801/orjson-3.11.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1eb80451a9c351a71dfaf5b7ccc13ad065405217726b59fdbeadbcc544f9d223", size = 134806, upload-time = "2026-02-02T15:38:22.186Z" }, + { url = "https://files.pythonhosted.org/packages/0a/5b/6ebcf3defc1aab3a338ca777214966851e92efb1f30dc7fc8285216e6d1b/orjson-3.11.7-cp313-cp313-win32.whl", hash = "sha256:7477aa6a6ec6139c5cb1cc7b214643592169a5494d200397c7fc95d740d5fcf3", size = 127914, upload-time = "2026-02-02T15:38:23.511Z" }, + { url = "https://files.pythonhosted.org/packages/00/04/c6f72daca5092e3117840a1b1e88dfc809cc1470cf0734890d0366b684a1/orjson-3.11.7-cp313-cp313-win_amd64.whl", hash = "sha256:b9f95dcdea9d4f805daa9ddf02617a89e484c6985fa03055459f90e87d7a0757", size = 124986, upload-time = "2026-02-02T15:38:24.836Z" }, + { url = "https://files.pythonhosted.org/packages/03/ba/077a0f6f1085d6b806937246860fafbd5b17f3919c70ee3f3d8d9c713f38/orjson-3.11.7-cp313-cp313-win_arm64.whl", hash = "sha256:800988273a014a0541483dc81021247d7eacb0c845a9d1a34a422bc718f41539", size = 126045, upload-time = "2026-02-02T15:38:26.216Z" }, + { url = "https://files.pythonhosted.org/packages/e9/1e/745565dca749813db9a093c5ebc4bac1a9475c64d54b95654336ac3ed961/orjson-3.11.7-cp314-cp314-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:de0a37f21d0d364954ad5de1970491d7fbd0fb1ef7417d4d56a36dc01ba0c0a0", size = 228391, upload-time = "2026-02-02T15:38:27.757Z" }, + { url = "https://files.pythonhosted.org/packages/46/19/e40f6225da4d3aa0c8dc6e5219c5e87c2063a560fe0d72a88deb59776794/orjson-3.11.7-cp314-cp314-macosx_15_0_arm64.whl", hash = "sha256:c2428d358d85e8da9d37cba18b8c4047c55222007a84f97156a5b22028dfbfc0", size = 125188, upload-time = "2026-02-02T15:38:29.241Z" }, + { url = "https://files.pythonhosted.org/packages/9d/7e/c4de2babef2c0817fd1f048fd176aa48c37bec8aef53d2fa932983032cce/orjson-3.11.7-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c4bc6c6ac52cdaa267552544c73e486fecbd710b7ac09bc024d5a78555a22f6", size = 128097, upload-time = "2026-02-02T15:38:30.618Z" }, + { url = "https://files.pythonhosted.org/packages/eb/74/233d360632bafd2197f217eee7fb9c9d0229eac0c18128aee5b35b0014fe/orjson-3.11.7-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd0d68edd7dfca1b2eca9361a44ac9f24b078de3481003159929a0573f21a6bf", size = 123364, upload-time = "2026-02-02T15:38:32.363Z" }, + { url = "https://files.pythonhosted.org/packages/79/51/af79504981dd31efe20a9e360eb49c15f06df2b40e7f25a0a52d9ae888e8/orjson-3.11.7-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:623ad1b9548ef63886319c16fa317848e465a21513b31a6ad7b57443c3e0dcf5", size = 129076, upload-time = "2026-02-02T15:38:33.68Z" }, + { url = "https://files.pythonhosted.org/packages/67/e2/da898eb68b72304f8de05ca6715870d09d603ee98d30a27e8a9629abc64b/orjson-3.11.7-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6e776b998ac37c0396093d10290e60283f59cfe0fc3fccbd0ccc4bd04dd19892", size = 141705, upload-time = "2026-02-02T15:38:34.989Z" }, + { url = "https://files.pythonhosted.org/packages/c5/89/15364d92acb3d903b029e28d834edb8780c2b97404cbf7929aa6b9abdb24/orjson-3.11.7-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:652c6c3af76716f4a9c290371ba2e390ede06f6603edb277b481daf37f6f464e", size = 130855, upload-time = "2026-02-02T15:38:36.379Z" }, + { url = "https://files.pythonhosted.org/packages/c2/8b/ecdad52d0b38d4b8f514be603e69ccd5eacf4e7241f972e37e79792212ec/orjson-3.11.7-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a56df3239294ea5964adf074c54bcc4f0ccd21636049a2cf3ca9cf03b5d03cf1", size = 133386, upload-time = "2026-02-02T15:38:37.704Z" }, + { url = "https://files.pythonhosted.org/packages/b9/0e/45e1dcf10e17d0924b7c9162f87ec7b4ca79e28a0548acf6a71788d3e108/orjson-3.11.7-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:bda117c4148e81f746655d5a3239ae9bd00cb7bc3ca178b5fc5a5997e9744183", size = 138295, upload-time = "2026-02-02T15:38:39.096Z" }, + { url = "https://files.pythonhosted.org/packages/63/d7/4d2e8b03561257af0450f2845b91fbd111d7e526ccdf737267108075e0ba/orjson-3.11.7-cp314-cp314-musllinux_1_2_armv7l.whl", hash = "sha256:23d6c20517a97a9daf1d48b580fcdc6f0516c6f4b5038823426033690b4d2650", size = 408720, upload-time = "2026-02-02T15:38:40.634Z" }, + { url = "https://files.pythonhosted.org/packages/78/cf/d45343518282108b29c12a65892445fc51f9319dc3c552ceb51bb5905ed2/orjson-3.11.7-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:8ff206156006da5b847c9304b6308a01e8cdbc8cce824e2779a5ba71c3def141", size = 144152, upload-time = "2026-02-02T15:38:42.262Z" }, + { url = "https://files.pythonhosted.org/packages/a9/3a/d6001f51a7275aacd342e77b735c71fa04125a3f93c36fee4526bc8c654e/orjson-3.11.7-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:962d046ee1765f74a1da723f4b33e3b228fe3a48bd307acce5021dfefe0e29b2", size = 134814, upload-time = "2026-02-02T15:38:43.627Z" }, + { url = "https://files.pythonhosted.org/packages/1d/d3/f19b47ce16820cc2c480f7f1723e17f6d411b3a295c60c8ad3aa9ff1c96a/orjson-3.11.7-cp314-cp314-win32.whl", hash = "sha256:89e13dd3f89f1c38a9c9eba5fbf7cdc2d1feca82f5f290864b4b7a6aac704576", size = 127997, upload-time = "2026-02-02T15:38:45.06Z" }, + { url = "https://files.pythonhosted.org/packages/12/df/172771902943af54bf661a8d102bdf2e7f932127968080632bda6054b62c/orjson-3.11.7-cp314-cp314-win_amd64.whl", hash = "sha256:845c3e0d8ded9c9271cd79596b9b552448b885b97110f628fb687aee2eed11c1", size = 124985, upload-time = "2026-02-02T15:38:46.388Z" }, + { url = "https://files.pythonhosted.org/packages/6f/1c/f2a8d8a1b17514660a614ce5f7aac74b934e69f5abc2700cc7ced882a009/orjson-3.11.7-cp314-cp314-win_arm64.whl", hash = "sha256:4a2e9c5be347b937a2e0203866f12bba36082e89b402ddb9e927d5822e43088d", size = 126038, upload-time = "2026-02-02T15:38:47.703Z" }, +] + +[[package]] +name = "overrides" +version = "7.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/36/86/b585f53236dec60aba864e050778b25045f857e17f6e5ea0ae95fe80edd2/overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a", size = 22812, upload-time = "2024-01-27T21:01:33.423Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49", size = 17832, upload-time = "2024-01-27T21:01:31.393Z" }, +] + +[[package]] +name = "packaging" +version = "26.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/65/ee/299d360cdc32edc7d2cf530f3accf79c4fca01e96ffc950d8a52213bd8e4/packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4", size = 143416, upload-time = "2026-01-21T20:50:39.064Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" }, +] + +[[package]] +name = "paginate" +version = "0.5.7" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ec/46/68dde5b6bc00c1296ec6466ab27dddede6aec9af1b99090e1107091b3b84/paginate-0.5.7.tar.gz", hash = "sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945", size = 19252, upload-time = "2024-08-25T14:17:24.139Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/90/96/04b8e52da071d28f5e21a805b19cb9390aa17a47462ac87f5e2696b9566d/paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591", size = 13746, upload-time = "2024-08-25T14:17:22.55Z" }, +] + +[[package]] +name = "pandas" +version = "2.3.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "python-dateutil", marker = "python_full_version < '3.11'" }, + { name = "pytz", marker = "python_full_version < '3.11'" }, + { name = "tzdata", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/33/01/d40b85317f86cf08d853a4f495195c73815fdf205eef3993821720274518/pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b", size = 4495223, upload-time = "2025-09-29T23:34:51.853Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3d/f7/f425a00df4fcc22b292c6895c6831c0c8ae1d9fac1e024d16f98a9ce8749/pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c", size = 11555763, upload-time = "2025-09-29T23:16:53.287Z" }, + { url = "https://files.pythonhosted.org/packages/13/4f/66d99628ff8ce7857aca52fed8f0066ce209f96be2fede6cef9f84e8d04f/pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a", size = 10801217, upload-time = "2025-09-29T23:17:04.522Z" }, + { url = "https://files.pythonhosted.org/packages/1d/03/3fc4a529a7710f890a239cc496fc6d50ad4a0995657dccc1d64695adb9f4/pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1", size = 12148791, upload-time = "2025-09-29T23:17:18.444Z" }, + { url = "https://files.pythonhosted.org/packages/40/a8/4dac1f8f8235e5d25b9955d02ff6f29396191d4e665d71122c3722ca83c5/pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838", size = 12769373, upload-time = "2025-09-29T23:17:35.846Z" }, + { url = "https://files.pythonhosted.org/packages/df/91/82cc5169b6b25440a7fc0ef3a694582418d875c8e3ebf796a6d6470aa578/pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250", size = 13200444, upload-time = "2025-09-29T23:17:49.341Z" }, + { url = "https://files.pythonhosted.org/packages/10/ae/89b3283800ab58f7af2952704078555fa60c807fff764395bb57ea0b0dbd/pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4", size = 13858459, upload-time = "2025-09-29T23:18:03.722Z" }, + { url = "https://files.pythonhosted.org/packages/85/72/530900610650f54a35a19476eca5104f38555afccda1aa11a92ee14cb21d/pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826", size = 11346086, upload-time = "2025-09-29T23:18:18.505Z" }, + { url = "https://files.pythonhosted.org/packages/c1/fa/7ac648108144a095b4fb6aa3de1954689f7af60a14cf25583f4960ecb878/pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523", size = 11578790, upload-time = "2025-09-29T23:18:30.065Z" }, + { url = "https://files.pythonhosted.org/packages/9b/35/74442388c6cf008882d4d4bdfc4109be87e9b8b7ccd097ad1e7f006e2e95/pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45", size = 10833831, upload-time = "2025-09-29T23:38:56.071Z" }, + { url = "https://files.pythonhosted.org/packages/fe/e4/de154cbfeee13383ad58d23017da99390b91d73f8c11856f2095e813201b/pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66", size = 12199267, upload-time = "2025-09-29T23:18:41.627Z" }, + { url = "https://files.pythonhosted.org/packages/bf/c9/63f8d545568d9ab91476b1818b4741f521646cbdd151c6efebf40d6de6f7/pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b", size = 12789281, upload-time = "2025-09-29T23:18:56.834Z" }, + { url = "https://files.pythonhosted.org/packages/f2/00/a5ac8c7a0e67fd1a6059e40aa08fa1c52cc00709077d2300e210c3ce0322/pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791", size = 13240453, upload-time = "2025-09-29T23:19:09.247Z" }, + { url = "https://files.pythonhosted.org/packages/27/4d/5c23a5bc7bd209231618dd9e606ce076272c9bc4f12023a70e03a86b4067/pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151", size = 13890361, upload-time = "2025-09-29T23:19:25.342Z" }, + { url = "https://files.pythonhosted.org/packages/8e/59/712db1d7040520de7a4965df15b774348980e6df45c129b8c64d0dbe74ef/pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c", size = 11348702, upload-time = "2025-09-29T23:19:38.296Z" }, + { url = "https://files.pythonhosted.org/packages/9c/fb/231d89e8637c808b997d172b18e9d4a4bc7bf31296196c260526055d1ea0/pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53", size = 11597846, upload-time = "2025-09-29T23:19:48.856Z" }, + { url = "https://files.pythonhosted.org/packages/5c/bd/bf8064d9cfa214294356c2d6702b716d3cf3bb24be59287a6a21e24cae6b/pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35", size = 10729618, upload-time = "2025-09-29T23:39:08.659Z" }, + { url = "https://files.pythonhosted.org/packages/57/56/cf2dbe1a3f5271370669475ead12ce77c61726ffd19a35546e31aa8edf4e/pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908", size = 11737212, upload-time = "2025-09-29T23:19:59.765Z" }, + { url = "https://files.pythonhosted.org/packages/e5/63/cd7d615331b328e287d8233ba9fdf191a9c2d11b6af0c7a59cfcec23de68/pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89", size = 12362693, upload-time = "2025-09-29T23:20:14.098Z" }, + { url = "https://files.pythonhosted.org/packages/a6/de/8b1895b107277d52f2b42d3a6806e69cfef0d5cf1d0ba343470b9d8e0a04/pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98", size = 12771002, upload-time = "2025-09-29T23:20:26.76Z" }, + { url = "https://files.pythonhosted.org/packages/87/21/84072af3187a677c5893b170ba2c8fbe450a6ff911234916da889b698220/pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084", size = 13450971, upload-time = "2025-09-29T23:20:41.344Z" }, + { url = "https://files.pythonhosted.org/packages/86/41/585a168330ff063014880a80d744219dbf1dd7a1c706e75ab3425a987384/pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b", size = 10992722, upload-time = "2025-09-29T23:20:54.139Z" }, + { url = "https://files.pythonhosted.org/packages/cd/4b/18b035ee18f97c1040d94debd8f2e737000ad70ccc8f5513f4eefad75f4b/pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713", size = 11544671, upload-time = "2025-09-29T23:21:05.024Z" }, + { url = "https://files.pythonhosted.org/packages/31/94/72fac03573102779920099bcac1c3b05975c2cb5f01eac609faf34bed1ca/pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8", size = 10680807, upload-time = "2025-09-29T23:21:15.979Z" }, + { url = "https://files.pythonhosted.org/packages/16/87/9472cf4a487d848476865321de18cc8c920b8cab98453ab79dbbc98db63a/pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d", size = 11709872, upload-time = "2025-09-29T23:21:27.165Z" }, + { url = "https://files.pythonhosted.org/packages/15/07/284f757f63f8a8d69ed4472bfd85122bd086e637bf4ed09de572d575a693/pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac", size = 12306371, upload-time = "2025-09-29T23:21:40.532Z" }, + { url = "https://files.pythonhosted.org/packages/33/81/a3afc88fca4aa925804a27d2676d22dcd2031c2ebe08aabd0ae55b9ff282/pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c", size = 12765333, upload-time = "2025-09-29T23:21:55.77Z" }, + { url = "https://files.pythonhosted.org/packages/8d/0f/b4d4ae743a83742f1153464cf1a8ecfafc3ac59722a0b5c8602310cb7158/pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493", size = 13418120, upload-time = "2025-09-29T23:22:10.109Z" }, + { url = "https://files.pythonhosted.org/packages/4f/c7/e54682c96a895d0c808453269e0b5928a07a127a15704fedb643e9b0a4c8/pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee", size = 10993991, upload-time = "2025-09-29T23:25:04.889Z" }, + { url = "https://files.pythonhosted.org/packages/f9/ca/3f8d4f49740799189e1395812f3bf23b5e8fc7c190827d55a610da72ce55/pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5", size = 12048227, upload-time = "2025-09-29T23:22:24.343Z" }, + { url = "https://files.pythonhosted.org/packages/0e/5a/f43efec3e8c0cc92c4663ccad372dbdff72b60bdb56b2749f04aa1d07d7e/pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21", size = 11411056, upload-time = "2025-09-29T23:22:37.762Z" }, + { url = "https://files.pythonhosted.org/packages/46/b1/85331edfc591208c9d1a63a06baa67b21d332e63b7a591a5ba42a10bb507/pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78", size = 11645189, upload-time = "2025-09-29T23:22:51.688Z" }, + { url = "https://files.pythonhosted.org/packages/44/23/78d645adc35d94d1ac4f2a3c4112ab6f5b8999f4898b8cdf01252f8df4a9/pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110", size = 12121912, upload-time = "2025-09-29T23:23:05.042Z" }, + { url = "https://files.pythonhosted.org/packages/53/da/d10013df5e6aaef6b425aa0c32e1fc1f3e431e4bcabd420517dceadce354/pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86", size = 12712160, upload-time = "2025-09-29T23:23:28.57Z" }, + { url = "https://files.pythonhosted.org/packages/bd/17/e756653095a083d8a37cbd816cb87148debcfcd920129b25f99dd8d04271/pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc", size = 13199233, upload-time = "2025-09-29T23:24:24.876Z" }, + { url = "https://files.pythonhosted.org/packages/04/fd/74903979833db8390b73b3a8a7d30d146d710bd32703724dd9083950386f/pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0", size = 11540635, upload-time = "2025-09-29T23:25:52.486Z" }, + { url = "https://files.pythonhosted.org/packages/21/00/266d6b357ad5e6d3ad55093a7e8efc7dd245f5a842b584db9f30b0f0a287/pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593", size = 10759079, upload-time = "2025-09-29T23:26:33.204Z" }, + { url = "https://files.pythonhosted.org/packages/ca/05/d01ef80a7a3a12b2f8bbf16daba1e17c98a2f039cbc8e2f77a2c5a63d382/pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c", size = 11814049, upload-time = "2025-09-29T23:27:15.384Z" }, + { url = "https://files.pythonhosted.org/packages/15/b2/0e62f78c0c5ba7e3d2c5945a82456f4fac76c480940f805e0b97fcbc2f65/pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b", size = 12332638, upload-time = "2025-09-29T23:27:51.625Z" }, + { url = "https://files.pythonhosted.org/packages/c5/33/dd70400631b62b9b29c3c93d2feee1d0964dc2bae2e5ad7a6c73a7f25325/pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6", size = 12886834, upload-time = "2025-09-29T23:28:21.289Z" }, + { url = "https://files.pythonhosted.org/packages/d3/18/b5d48f55821228d0d2692b34fd5034bb185e854bdb592e9c640f6290e012/pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3", size = 13409925, upload-time = "2025-09-29T23:28:58.261Z" }, + { url = "https://files.pythonhosted.org/packages/a6/3d/124ac75fcd0ecc09b8fdccb0246ef65e35b012030defb0e0eba2cbbbe948/pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5", size = 11109071, upload-time = "2025-09-29T23:32:27.484Z" }, + { url = "https://files.pythonhosted.org/packages/89/9c/0e21c895c38a157e0faa1fb64587a9226d6dd46452cac4532d80c3c4a244/pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec", size = 12048504, upload-time = "2025-09-29T23:29:31.47Z" }, + { url = "https://files.pythonhosted.org/packages/d7/82/b69a1c95df796858777b68fbe6a81d37443a33319761d7c652ce77797475/pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7", size = 11410702, upload-time = "2025-09-29T23:29:54.591Z" }, + { url = "https://files.pythonhosted.org/packages/f9/88/702bde3ba0a94b8c73a0181e05144b10f13f29ebfc2150c3a79062a8195d/pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450", size = 11634535, upload-time = "2025-09-29T23:30:21.003Z" }, + { url = "https://files.pythonhosted.org/packages/a4/1e/1bac1a839d12e6a82ec6cb40cda2edde64a2013a66963293696bbf31fbbb/pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5", size = 12121582, upload-time = "2025-09-29T23:30:43.391Z" }, + { url = "https://files.pythonhosted.org/packages/44/91/483de934193e12a3b1d6ae7c8645d083ff88dec75f46e827562f1e4b4da6/pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788", size = 12699963, upload-time = "2025-09-29T23:31:10.009Z" }, + { url = "https://files.pythonhosted.org/packages/70/44/5191d2e4026f86a2a109053e194d3ba7a31a2d10a9c2348368c63ed4e85a/pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87", size = 13202175, upload-time = "2025-09-29T23:31:59.173Z" }, +] + +[[package]] +name = "pandas" +version = "3.0.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "python-dateutil", marker = "python_full_version >= '3.11'" }, + { name = "tzdata", marker = "(python_full_version >= '3.11' and sys_platform == 'emscripten') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2e/0c/b28ed414f080ee0ad153f848586d61d1878f91689950f037f976ce15f6c8/pandas-3.0.1.tar.gz", hash = "sha256:4186a699674af418f655dbd420ed87f50d56b4cd6603784279d9eef6627823c8", size = 4641901, upload-time = "2026-02-17T22:20:16.434Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ff/07/c7087e003ceee9b9a82539b40414ec557aa795b584a1a346e89180853d79/pandas-3.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:de09668c1bf3b925c07e5762291602f0d789eca1b3a781f99c1c78f6cac0e7ea", size = 10323380, upload-time = "2026-02-17T22:18:16.133Z" }, + { url = "https://files.pythonhosted.org/packages/c1/27/90683c7122febeefe84a56f2cde86a9f05f68d53885cebcc473298dfc33e/pandas-3.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:24ba315ba3d6e5806063ac6eb717504e499ce30bd8c236d8693a5fd3f084c796", size = 9923455, upload-time = "2026-02-17T22:18:19.13Z" }, + { url = "https://files.pythonhosted.org/packages/0e/f1/ed17d927f9950643bc7631aa4c99ff0cc83a37864470bc419345b656a41f/pandas-3.0.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:406ce835c55bac912f2a0dcfaf27c06d73c6b04a5dde45f1fd3169ce31337389", size = 10753464, upload-time = "2026-02-17T22:18:21.134Z" }, + { url = "https://files.pythonhosted.org/packages/2e/7c/870c7e7daec2a6c7ff2ac9e33b23317230d4e4e954b35112759ea4a924a7/pandas-3.0.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:830994d7e1f31dd7e790045235605ab61cff6c94defc774547e8b7fdfbff3dc7", size = 11255234, upload-time = "2026-02-17T22:18:24.175Z" }, + { url = "https://files.pythonhosted.org/packages/5c/39/3653fe59af68606282b989c23d1a543ceba6e8099cbcc5f1d506a7bae2aa/pandas-3.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a64ce8b0f2de1d2efd2ae40b0abe7f8ae6b29fbfb3812098ed5a6f8e235ad9bf", size = 11767299, upload-time = "2026-02-17T22:18:26.824Z" }, + { url = "https://files.pythonhosted.org/packages/9b/31/1daf3c0c94a849c7a8dab8a69697b36d313b229918002ba3e409265c7888/pandas-3.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9832c2c69da24b602c32e0c7b1b508a03949c18ba08d4d9f1c1033426685b447", size = 12333292, upload-time = "2026-02-17T22:18:28.996Z" }, + { url = "https://files.pythonhosted.org/packages/1f/67/af63f83cd6ca603a00fe8530c10a60f0879265b8be00b5930e8e78c5b30b/pandas-3.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:84f0904a69e7365f79a0c77d3cdfccbfb05bf87847e3a51a41e1426b0edb9c79", size = 9892176, upload-time = "2026-02-17T22:18:31.79Z" }, + { url = "https://files.pythonhosted.org/packages/79/ab/9c776b14ac4b7b4140788eca18468ea39894bc7340a408f1d1e379856a6b/pandas-3.0.1-cp311-cp311-win_arm64.whl", hash = "sha256:4a68773d5a778afb31d12e34f7dd4612ab90de8c6fb1d8ffe5d4a03b955082a1", size = 9151328, upload-time = "2026-02-17T22:18:35.721Z" }, + { url = "https://files.pythonhosted.org/packages/37/51/b467209c08dae2c624873d7491ea47d2b47336e5403309d433ea79c38571/pandas-3.0.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:476f84f8c20c9f5bc47252b66b4bb25e1a9fc2fa98cead96744d8116cb85771d", size = 10344357, upload-time = "2026-02-17T22:18:38.262Z" }, + { url = "https://files.pythonhosted.org/packages/7c/f1/e2567ffc8951ab371db2e40b2fe068e36b81d8cf3260f06ae508700e5504/pandas-3.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0ab749dfba921edf641d4036c4c21c0b3ea70fea478165cb98a998fb2a261955", size = 9884543, upload-time = "2026-02-17T22:18:41.476Z" }, + { url = "https://files.pythonhosted.org/packages/d7/39/327802e0b6d693182403c144edacbc27eb82907b57062f23ef5a4c4a5ea7/pandas-3.0.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b8e36891080b87823aff3640c78649b91b8ff6eea3c0d70aeabd72ea43ab069b", size = 10396030, upload-time = "2026-02-17T22:18:43.822Z" }, + { url = "https://files.pythonhosted.org/packages/3d/fe/89d77e424365280b79d99b3e1e7d606f5165af2f2ecfaf0c6d24c799d607/pandas-3.0.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:532527a701281b9dd371e2f582ed9094f4c12dd9ffb82c0c54ee28d8ac9520c4", size = 10876435, upload-time = "2026-02-17T22:18:45.954Z" }, + { url = "https://files.pythonhosted.org/packages/b5/a6/2a75320849dd154a793f69c951db759aedb8d1dd3939eeacda9bdcfa1629/pandas-3.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:356e5c055ed9b0da1580d465657bc7d00635af4fd47f30afb23025352ba764d1", size = 11405133, upload-time = "2026-02-17T22:18:48.533Z" }, + { url = "https://files.pythonhosted.org/packages/58/53/1d68fafb2e02d7881df66aa53be4cd748d25cbe311f3b3c85c93ea5d30ca/pandas-3.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9d810036895f9ad6345b8f2a338dd6998a74e8483847403582cab67745bff821", size = 11932065, upload-time = "2026-02-17T22:18:50.837Z" }, + { url = "https://files.pythonhosted.org/packages/75/08/67cc404b3a966b6df27b38370ddd96b3b023030b572283d035181854aac5/pandas-3.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:536232a5fe26dd989bd633e7a0c450705fdc86a207fec7254a55e9a22950fe43", size = 9741627, upload-time = "2026-02-17T22:18:53.905Z" }, + { url = "https://files.pythonhosted.org/packages/86/4f/caf9952948fb00d23795f09b893d11f1cacb384e666854d87249530f7cbe/pandas-3.0.1-cp312-cp312-win_arm64.whl", hash = "sha256:0f463ebfd8de7f326d38037c7363c6dacb857c5881ab8961fb387804d6daf2f7", size = 9052483, upload-time = "2026-02-17T22:18:57.31Z" }, + { url = "https://files.pythonhosted.org/packages/0b/48/aad6ec4f8d007534c091e9a7172b3ec1b1ee6d99a9cbb936b5eab6c6cf58/pandas-3.0.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:5272627187b5d9c20e55d27caf5f2cd23e286aba25cadf73c8590e432e2b7262", size = 10317509, upload-time = "2026-02-17T22:18:59.498Z" }, + { url = "https://files.pythonhosted.org/packages/a8/14/5990826f779f79148ae9d3a2c39593dc04d61d5d90541e71b5749f35af95/pandas-3.0.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:661e0f665932af88c7877f31da0dc743fe9c8f2524bdffe23d24fdcb67ef9d56", size = 9860561, upload-time = "2026-02-17T22:19:02.265Z" }, + { url = "https://files.pythonhosted.org/packages/fa/80/f01ff54664b6d70fed71475543d108a9b7c888e923ad210795bef04ffb7d/pandas-3.0.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:75e6e292ff898679e47a2199172593d9f6107fd2dd3617c22c2946e97d5df46e", size = 10365506, upload-time = "2026-02-17T22:19:05.017Z" }, + { url = "https://files.pythonhosted.org/packages/f2/85/ab6d04733a7d6ff32bfc8382bf1b07078228f5d6ebec5266b91bfc5c4ff7/pandas-3.0.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1ff8cf1d2896e34343197685f432450ec99a85ba8d90cce2030c5eee2ef98791", size = 10873196, upload-time = "2026-02-17T22:19:07.204Z" }, + { url = "https://files.pythonhosted.org/packages/48/a9/9301c83d0b47c23ac5deab91c6b39fd98d5b5db4d93b25df8d381451828f/pandas-3.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:eca8b4510f6763f3d37359c2105df03a7a221a508f30e396a51d0713d462e68a", size = 11370859, upload-time = "2026-02-17T22:19:09.436Z" }, + { url = "https://files.pythonhosted.org/packages/59/fe/0c1fc5bd2d29c7db2ab372330063ad555fb83e08422829c785f5ec2176ca/pandas-3.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:06aff2ad6f0b94a17822cf8b83bbb563b090ed82ff4fe7712db2ce57cd50d9b8", size = 11924584, upload-time = "2026-02-17T22:19:11.562Z" }, + { url = "https://files.pythonhosted.org/packages/d6/7d/216a1588b65a7aa5f4535570418a599d943c85afb1d95b0876fc00aa1468/pandas-3.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:9fea306c783e28884c29057a1d9baa11a349bbf99538ec1da44c8476563d1b25", size = 9742769, upload-time = "2026-02-17T22:19:13.926Z" }, + { url = "https://files.pythonhosted.org/packages/c4/cb/810a22a6af9a4e97c8ab1c946b47f3489c5bca5adc483ce0ffc84c9cc768/pandas-3.0.1-cp313-cp313-win_arm64.whl", hash = "sha256:a8d37a43c52917427e897cb2e429f67a449327394396a81034a4449b99afda59", size = 9043855, upload-time = "2026-02-17T22:19:16.09Z" }, + { url = "https://files.pythonhosted.org/packages/92/fa/423c89086cca1f039cf1253c3ff5b90f157b5b3757314aa635f6bf3e30aa/pandas-3.0.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:d54855f04f8246ed7b6fc96b05d4871591143c46c0b6f4af874764ed0d2d6f06", size = 10752673, upload-time = "2026-02-17T22:19:18.304Z" }, + { url = "https://files.pythonhosted.org/packages/22/23/b5a08ec1f40020397f0faba72f1e2c11f7596a6169c7b3e800abff0e433f/pandas-3.0.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:4e1b677accee34a09e0dc2ce5624e4a58a1870ffe56fc021e9caf7f23cd7668f", size = 10404967, upload-time = "2026-02-17T22:19:20.726Z" }, + { url = "https://files.pythonhosted.org/packages/5c/81/94841f1bb4afdc2b52a99daa895ac2c61600bb72e26525ecc9543d453ebc/pandas-3.0.1-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a9cabbdcd03f1b6cd254d6dda8ae09b0252524be1592594c00b7895916cb1324", size = 10320575, upload-time = "2026-02-17T22:19:24.919Z" }, + { url = "https://files.pythonhosted.org/packages/0a/8b/2ae37d66a5342a83adadfd0cb0b4bf9c3c7925424dd5f40d15d6cfaa35ee/pandas-3.0.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ae2ab1f166668b41e770650101e7090824fd34d17915dd9cd479f5c5e0065e9", size = 10710921, upload-time = "2026-02-17T22:19:27.181Z" }, + { url = "https://files.pythonhosted.org/packages/a2/61/772b2e2757855e232b7ccf7cb8079a5711becb3a97f291c953def15a833f/pandas-3.0.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:6bf0603c2e30e2cafac32807b06435f28741135cb8697eae8b28c7d492fc7d76", size = 11334191, upload-time = "2026-02-17T22:19:29.411Z" }, + { url = "https://files.pythonhosted.org/packages/1b/08/b16c6df3ef555d8495d1d265a7963b65be166785d28f06a350913a4fac78/pandas-3.0.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:6c426422973973cae1f4a23e51d4ae85974f44871b24844e4f7de752dd877098", size = 11782256, upload-time = "2026-02-17T22:19:32.34Z" }, + { url = "https://files.pythonhosted.org/packages/55/80/178af0594890dee17e239fca96d3d8670ba0f5ff59b7d0439850924a9c09/pandas-3.0.1-cp313-cp313t-win_amd64.whl", hash = "sha256:b03f91ae8c10a85c1613102c7bef5229b5379f343030a3ccefeca8a33414cf35", size = 10485047, upload-time = "2026-02-17T22:19:34.605Z" }, + { url = "https://files.pythonhosted.org/packages/bb/8b/4bb774a998b97e6c2fd62a9e6cfdaae133b636fd1c468f92afb4ae9a447a/pandas-3.0.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:99d0f92ed92d3083d140bf6b97774f9f13863924cf3f52a70711f4e7588f9d0a", size = 10322465, upload-time = "2026-02-17T22:19:36.803Z" }, + { url = "https://files.pythonhosted.org/packages/72/3a/5b39b51c64159f470f1ca3b1c2a87da290657ca022f7cd11442606f607d1/pandas-3.0.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:3b66857e983208654294bb6477b8a63dee26b37bdd0eb34d010556e91261784f", size = 9910632, upload-time = "2026-02-17T22:19:39.001Z" }, + { url = "https://files.pythonhosted.org/packages/4e/f7/b449ffb3f68c11da12fc06fbf6d2fa3a41c41e17d0284d23a79e1c13a7e4/pandas-3.0.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56cf59638bf24dc9bdf2154c81e248b3289f9a09a6d04e63608c159022352749", size = 10440535, upload-time = "2026-02-17T22:19:41.157Z" }, + { url = "https://files.pythonhosted.org/packages/55/77/6ea82043db22cb0f2bbfe7198da3544000ddaadb12d26be36e19b03a2dc5/pandas-3.0.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c1a9f55e0f46951874b863d1f3906dcb57df2d9be5c5847ba4dfb55b2c815249", size = 10893940, upload-time = "2026-02-17T22:19:43.493Z" }, + { url = "https://files.pythonhosted.org/packages/03/30/f1b502a72468c89412c1b882a08f6eed8a4ee9dc033f35f65d0663df6081/pandas-3.0.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1849f0bba9c8a2fb0f691d492b834cc8dadf617e29015c66e989448d58d011ee", size = 11442711, upload-time = "2026-02-17T22:19:46.074Z" }, + { url = "https://files.pythonhosted.org/packages/0d/f0/ebb6ddd8fc049e98cabac5c2924d14d1dda26a20adb70d41ea2e428d3ec4/pandas-3.0.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c3d288439e11b5325b02ae6e9cc83e6805a62c40c5a6220bea9beb899c073b1c", size = 11963918, upload-time = "2026-02-17T22:19:48.838Z" }, + { url = "https://files.pythonhosted.org/packages/09/f8/8ce132104074f977f907442790eaae24e27bce3b3b454e82faa3237ff098/pandas-3.0.1-cp314-cp314-win_amd64.whl", hash = "sha256:93325b0fe372d192965f4cca88d97667f49557398bbf94abdda3bf1b591dbe66", size = 9862099, upload-time = "2026-02-17T22:19:51.081Z" }, + { url = "https://files.pythonhosted.org/packages/e6/b7/6af9aac41ef2456b768ef0ae60acf8abcebb450a52043d030a65b4b7c9bd/pandas-3.0.1-cp314-cp314-win_arm64.whl", hash = "sha256:97ca08674e3287c7148f4858b01136f8bdfe7202ad25ad04fec602dd1d29d132", size = 9185333, upload-time = "2026-02-17T22:19:53.266Z" }, + { url = "https://files.pythonhosted.org/packages/66/fc/848bb6710bc6061cb0c5badd65b92ff75c81302e0e31e496d00029fe4953/pandas-3.0.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:58eeb1b2e0fb322befcf2bbc9ba0af41e616abadb3d3414a6bc7167f6cbfce32", size = 10772664, upload-time = "2026-02-17T22:19:55.806Z" }, + { url = "https://files.pythonhosted.org/packages/69/5c/866a9bbd0f79263b4b0db6ec1a341be13a1473323f05c122388e0f15b21d/pandas-3.0.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:cd9af1276b5ca9e298bd79a26bda32fa9cc87ed095b2a9a60978d2ca058eaf87", size = 10421286, upload-time = "2026-02-17T22:19:58.091Z" }, + { url = "https://files.pythonhosted.org/packages/51/a4/2058fb84fb1cfbfb2d4a6d485e1940bb4ad5716e539d779852494479c580/pandas-3.0.1-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:94f87a04984d6b63788327cd9f79dda62b7f9043909d2440ceccf709249ca988", size = 10342050, upload-time = "2026-02-17T22:20:01.376Z" }, + { url = "https://files.pythonhosted.org/packages/22/1b/674e89996cc4be74db3c4eb09240c4bb549865c9c3f5d9b086ff8fcfbf00/pandas-3.0.1-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:85fe4c4df62e1e20f9db6ebfb88c844b092c22cd5324bdcf94bfa2fc1b391221", size = 10740055, upload-time = "2026-02-17T22:20:04.328Z" }, + { url = "https://files.pythonhosted.org/packages/d0/f8/e954b750764298c22fa4614376531fe63c521ef517e7059a51f062b87dca/pandas-3.0.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:331ca75a2f8672c365ae25c0b29e46f5ac0c6551fdace8eec4cd65e4fac271ff", size = 11357632, upload-time = "2026-02-17T22:20:06.647Z" }, + { url = "https://files.pythonhosted.org/packages/6d/02/c6e04b694ffd68568297abd03588b6d30295265176a5c01b7459d3bc35a3/pandas-3.0.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:15860b1fdb1973fffade772fdb931ccf9b2f400a3f5665aef94a00445d7d8dd5", size = 11810974, upload-time = "2026-02-17T22:20:08.946Z" }, + { url = "https://files.pythonhosted.org/packages/89/41/d7dfb63d2407f12055215070c42fc6ac41b66e90a2946cdc5e759058398b/pandas-3.0.1-cp314-cp314t-win_amd64.whl", hash = "sha256:44f1364411d5670efa692b146c748f4ed013df91ee91e9bec5677fb1fd58b937", size = 10884622, upload-time = "2026-02-17T22:20:11.711Z" }, + { url = "https://files.pythonhosted.org/packages/68/b0/34937815889fa982613775e4b97fddd13250f11012d769949c5465af2150/pandas-3.0.1-cp314-cp314t-win_arm64.whl", hash = "sha256:108dd1790337a494aa80e38def654ca3f0968cf4f362c85f44c15e471667102d", size = 9452085, upload-time = "2026-02-17T22:20:14.331Z" }, +] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/70/6f/3dd4940bbe001c06a65f88e36bad298bc7a0de5036115639926b0c5c0458/pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e", size = 8454, upload-time = "2024-01-18T20:08:13.726Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc", size = 8663, upload-time = "2024-01-18T20:08:11.28Z" }, +] + +[[package]] +name = "parso" +version = "0.8.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/81/76/a1e769043c0c0c9fe391b702539d594731a4362334cdf4dc25d0c09761e7/parso-0.8.6.tar.gz", hash = "sha256:2b9a0332696df97d454fa67b81618fd69c35a7b90327cbe6ba5c92d2c68a7bfd", size = 401621, upload-time = "2026-02-09T15:45:24.425Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b6/61/fae042894f4296ec49e3f193aff5d7c18440da9e48102c3315e1bc4519a7/parso-0.8.6-py2.py3-none-any.whl", hash = "sha256:2c549f800b70a5c4952197248825584cb00f033b29c692671d3bf08bf380baff", size = 106894, upload-time = "2026-02-09T15:45:21.391Z" }, +] + +[[package]] +name = "pathspec" +version = "1.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/fa/36/e27608899f9b8d4dff0617b2d9ab17ca5608956ca44461ac14ac48b44015/pathspec-1.0.4.tar.gz", hash = "sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645", size = 131200, upload-time = "2026-01-27T03:59:46.938Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ef/3c/2c197d226f9ea224a9ab8d197933f9da0ae0aac5b6e0f884e2b8d9c8e9f7/pathspec-1.0.4-py3-none-any.whl", hash = "sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723", size = 55206, upload-time = "2026-01-27T03:59:45.137Z" }, +] + +[[package]] +name = "patsy" +version = "1.0.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/be/44/ed13eccdd0519eff265f44b670d46fbb0ec813e2274932dc1c0e48520f7d/patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0", size = 399942, upload-time = "2025-10-20T16:17:37.535Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f1/70/ba4b949bdc0490ab78d545459acd7702b211dfccf7eb89bbc1060f52818d/patsy-1.0.2-py2.py3-none-any.whl", hash = "sha256:37bfddbc58fcf0362febb5f54f10743f8b21dd2aa73dec7e7ef59d1b02ae668a", size = 233301, upload-time = "2025-10-20T16:17:36.563Z" }, +] + +[[package]] +name = "pexpect" +version = "4.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess", marker = "(python_full_version < '3.11' and platform_machine != 'ARM64' and sys_platform == 'win32') or (python_full_version < '3.11' and sys_platform == 'emscripten') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523", size = 63772, upload-time = "2023-11-25T06:56:14.81Z" }, +] + +[[package]] +name = "pillow" +version = "12.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1d/30/5bd3d794762481f8c8ae9c80e7b76ecea73b916959eb587521358ef0b2f9/pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0", size = 5304099, upload-time = "2026-02-11T04:20:06.13Z" }, + { url = "https://files.pythonhosted.org/packages/bd/c1/aab9e8f3eeb4490180e357955e15c2ef74b31f64790ff356c06fb6cf6d84/pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713", size = 4657880, upload-time = "2026-02-11T04:20:09.291Z" }, + { url = "https://files.pythonhosted.org/packages/f1/0a/9879e30d56815ad529d3985aeff5af4964202425c27261a6ada10f7cbf53/pillow-12.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b66e95d05ba806247aaa1561f080abc7975daf715c30780ff92a20e4ec546e1b", size = 6222587, upload-time = "2026-02-11T04:20:10.82Z" }, + { url = "https://files.pythonhosted.org/packages/5a/5f/a1b72ff7139e4f89014e8d451442c74a774d5c43cd938fb0a9f878576b37/pillow-12.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89c7e895002bbe49cdc5426150377cbbc04767d7547ed145473f496dfa40408b", size = 8027678, upload-time = "2026-02-11T04:20:12.455Z" }, + { url = "https://files.pythonhosted.org/packages/e2/c2/c7cb187dac79a3d22c3ebeae727abee01e077c8c7d930791dc592f335153/pillow-12.1.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a5cbdcddad0af3da87cb16b60d23648bc3b51967eb07223e9fed77a82b457c4", size = 6335777, upload-time = "2026-02-11T04:20:14.441Z" }, + { url = "https://files.pythonhosted.org/packages/0c/7b/f9b09a7804ec7336effb96c26d37c29d27225783dc1501b7d62dcef6ae25/pillow-12.1.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9f51079765661884a486727f0729d29054242f74b46186026582b4e4769918e4", size = 7027140, upload-time = "2026-02-11T04:20:16.387Z" }, + { url = "https://files.pythonhosted.org/packages/98/b2/2fa3c391550bd421b10849d1a2144c44abcd966daadd2f7c12e19ea988c4/pillow-12.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:99c1506ea77c11531d75e3a412832a13a71c7ebc8192ab9e4b2e355555920e3e", size = 6449855, upload-time = "2026-02-11T04:20:18.554Z" }, + { url = "https://files.pythonhosted.org/packages/96/ff/9caf4b5b950c669263c39e96c78c0d74a342c71c4f43fd031bb5cb7ceac9/pillow-12.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:36341d06738a9f66c8287cf8b876d24b18db9bd8740fa0672c74e259ad408cff", size = 7151329, upload-time = "2026-02-11T04:20:20.646Z" }, + { url = "https://files.pythonhosted.org/packages/7b/f8/4b24841f582704da675ca535935bccb32b00a6da1226820845fac4a71136/pillow-12.1.1-cp310-cp310-win32.whl", hash = "sha256:6c52f062424c523d6c4db85518774cc3d50f5539dd6eed32b8f6229b26f24d40", size = 6325574, upload-time = "2026-02-11T04:20:22.43Z" }, + { url = "https://files.pythonhosted.org/packages/f8/f9/9f6b01c0881d7036063aa6612ef04c0e2cad96be21325a1e92d0203f8e91/pillow-12.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:c6008de247150668a705a6338156efb92334113421ceecf7438a12c9a12dab23", size = 7032347, upload-time = "2026-02-11T04:20:23.932Z" }, + { url = "https://files.pythonhosted.org/packages/79/13/c7922edded3dcdaf10c59297540b72785620abc0538872c819915746757d/pillow-12.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:1a9b0ee305220b392e1124a764ee4265bd063e54a751a6b62eff69992f457fa9", size = 2453457, upload-time = "2026-02-11T04:20:25.392Z" }, + { url = "https://files.pythonhosted.org/packages/2b/46/5da1ec4a5171ee7bf1a0efa064aba70ba3d6e0788ce3f5acd1375d23c8c0/pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32", size = 5304084, upload-time = "2026-02-11T04:20:27.501Z" }, + { url = "https://files.pythonhosted.org/packages/78/93/a29e9bc02d1cf557a834da780ceccd54e02421627200696fcf805ebdc3fb/pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38", size = 4657866, upload-time = "2026-02-11T04:20:29.827Z" }, + { url = "https://files.pythonhosted.org/packages/13/84/583a4558d492a179d31e4aae32eadce94b9acf49c0337c4ce0b70e0a01f2/pillow-12.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d4ce8e329c93845720cd2014659ca67eac35f6433fd3050393d85f3ecef0dad5", size = 6232148, upload-time = "2026-02-11T04:20:31.329Z" }, + { url = "https://files.pythonhosted.org/packages/d5/e2/53c43334bbbb2d3b938978532fbda8e62bb6e0b23a26ce8592f36bcc4987/pillow-12.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc354a04072b765eccf2204f588a7a532c9511e8b9c7f900e1b64e3e33487090", size = 8038007, upload-time = "2026-02-11T04:20:34.225Z" }, + { url = "https://files.pythonhosted.org/packages/b8/a6/3d0e79c8a9d58150dd98e199d7c1c56861027f3829a3a60b3c2784190180/pillow-12.1.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7e7976bf1910a8116b523b9f9f58bf410f3e8aa330cd9a2bb2953f9266ab49af", size = 6345418, upload-time = "2026-02-11T04:20:35.858Z" }, + { url = "https://files.pythonhosted.org/packages/a2/c8/46dfeac5825e600579157eea177be43e2f7ff4a99da9d0d0a49533509ac5/pillow-12.1.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:597bd9c8419bc7c6af5604e55847789b69123bbe25d65cc6ad3012b4f3c98d8b", size = 7034590, upload-time = "2026-02-11T04:20:37.91Z" }, + { url = "https://files.pythonhosted.org/packages/af/bf/e6f65d3db8a8bbfeaf9e13cc0417813f6319863a73de934f14b2229ada18/pillow-12.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2c1fc0f2ca5f96a3c8407e41cca26a16e46b21060fe6d5b099d2cb01412222f5", size = 6458655, upload-time = "2026-02-11T04:20:39.496Z" }, + { url = "https://files.pythonhosted.org/packages/f9/c2/66091f3f34a25894ca129362e510b956ef26f8fb67a0e6417bc5744e56f1/pillow-12.1.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:578510d88c6229d735855e1f278aa305270438d36a05031dfaae5067cc8eb04d", size = 7159286, upload-time = "2026-02-11T04:20:41.139Z" }, + { url = "https://files.pythonhosted.org/packages/7b/5a/24bc8eb526a22f957d0cec6243146744966d40857e3d8deb68f7902ca6c1/pillow-12.1.1-cp311-cp311-win32.whl", hash = "sha256:7311c0a0dcadb89b36b7025dfd8326ecfa36964e29913074d47382706e516a7c", size = 6328663, upload-time = "2026-02-11T04:20:43.184Z" }, + { url = "https://files.pythonhosted.org/packages/31/03/bef822e4f2d8f9d7448c133d0a18185d3cce3e70472774fffefe8b0ed562/pillow-12.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:fbfa2a7c10cc2623f412753cddf391c7f971c52ca40a3f65dc5039b2939e8563", size = 7031448, upload-time = "2026-02-11T04:20:44.696Z" }, + { url = "https://files.pythonhosted.org/packages/49/70/f76296f53610bd17b2e7d31728b8b7825e3ac3b5b3688b51f52eab7c0818/pillow-12.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:b81b5e3511211631b3f672a595e3221252c90af017e399056d0faabb9538aa80", size = 2453651, upload-time = "2026-02-11T04:20:46.243Z" }, + { url = "https://files.pythonhosted.org/packages/07/d3/8df65da0d4df36b094351dce696f2989bec731d4f10e743b1c5f4da4d3bf/pillow-12.1.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ab323b787d6e18b3d91a72fc99b1a2c28651e4358749842b8f8dfacd28ef2052", size = 5262803, upload-time = "2026-02-11T04:20:47.653Z" }, + { url = "https://files.pythonhosted.org/packages/d6/71/5026395b290ff404b836e636f51d7297e6c83beceaa87c592718747e670f/pillow-12.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:adebb5bee0f0af4909c30db0d890c773d1a92ffe83da908e2e9e720f8edf3984", size = 4657601, upload-time = "2026-02-11T04:20:49.328Z" }, + { url = "https://files.pythonhosted.org/packages/b1/2e/1001613d941c67442f745aff0f7cc66dd8df9a9c084eb497e6a543ee6f7e/pillow-12.1.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:bb66b7cc26f50977108790e2456b7921e773f23db5630261102233eb355a3b79", size = 6234995, upload-time = "2026-02-11T04:20:51.032Z" }, + { url = "https://files.pythonhosted.org/packages/07/26/246ab11455b2549b9233dbd44d358d033a2f780fa9007b61a913c5b2d24e/pillow-12.1.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aee2810642b2898bb187ced9b349e95d2a7272930796e022efaf12e99dccd293", size = 8045012, upload-time = "2026-02-11T04:20:52.882Z" }, + { url = "https://files.pythonhosted.org/packages/b2/8b/07587069c27be7535ac1fe33874e32de118fbd34e2a73b7f83436a88368c/pillow-12.1.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a0b1cd6232e2b618adcc54d9882e4e662a089d5768cd188f7c245b4c8c44a397", size = 6349638, upload-time = "2026-02-11T04:20:54.444Z" }, + { url = "https://files.pythonhosted.org/packages/ff/79/6df7b2ee763d619cda2fb4fea498e5f79d984dae304d45a8999b80d6cf5c/pillow-12.1.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7aac39bcf8d4770d089588a2e1dd111cbaa42df5a94be3114222057d68336bd0", size = 7041540, upload-time = "2026-02-11T04:20:55.97Z" }, + { url = "https://files.pythonhosted.org/packages/2c/5e/2ba19e7e7236d7529f4d873bdaf317a318896bac289abebd4bb00ef247f0/pillow-12.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ab174cd7d29a62dd139c44bf74b698039328f45cb03b4596c43473a46656b2f3", size = 6462613, upload-time = "2026-02-11T04:20:57.542Z" }, + { url = "https://files.pythonhosted.org/packages/03/03/31216ec124bb5c3dacd74ce8efff4cc7f52643653bad4825f8f08c697743/pillow-12.1.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:339ffdcb7cbeaa08221cd401d517d4b1fe7a9ed5d400e4a8039719238620ca35", size = 7166745, upload-time = "2026-02-11T04:20:59.196Z" }, + { url = "https://files.pythonhosted.org/packages/1f/e7/7c4552d80052337eb28653b617eafdef39adfb137c49dd7e831b8dc13bc5/pillow-12.1.1-cp312-cp312-win32.whl", hash = "sha256:5d1f9575a12bed9e9eedd9a4972834b08c97a352bd17955ccdebfeca5913fa0a", size = 6328823, upload-time = "2026-02-11T04:21:01.385Z" }, + { url = "https://files.pythonhosted.org/packages/3d/17/688626d192d7261bbbf98846fc98995726bddc2c945344b65bec3a29d731/pillow-12.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:21329ec8c96c6e979cd0dfd29406c40c1d52521a90544463057d2aaa937d66a6", size = 7033367, upload-time = "2026-02-11T04:21:03.536Z" }, + { url = "https://files.pythonhosted.org/packages/ed/fe/a0ef1f73f939b0eca03ee2c108d0043a87468664770612602c63266a43c4/pillow-12.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:af9a332e572978f0218686636610555ae3defd1633597be015ed50289a03c523", size = 2453811, upload-time = "2026-02-11T04:21:05.116Z" }, + { url = "https://files.pythonhosted.org/packages/d5/11/6db24d4bd7685583caeae54b7009584e38da3c3d4488ed4cd25b439de486/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:d242e8ac078781f1de88bf823d70c1a9b3c7950a44cdf4b7c012e22ccbcd8e4e", size = 4062689, upload-time = "2026-02-11T04:21:06.804Z" }, + { url = "https://files.pythonhosted.org/packages/33/c0/ce6d3b1fe190f0021203e0d9b5b99e57843e345f15f9ef22fcd43842fd21/pillow-12.1.1-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:02f84dfad02693676692746df05b89cf25597560db2857363a208e393429f5e9", size = 4138535, upload-time = "2026-02-11T04:21:08.452Z" }, + { url = "https://files.pythonhosted.org/packages/a0/c6/d5eb6a4fb32a3f9c21a8c7613ec706534ea1cf9f4b3663e99f0d83f6fca8/pillow-12.1.1-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:e65498daf4b583091ccbb2556c7000abf0f3349fcd57ef7adc9a84a394ed29f6", size = 3601364, upload-time = "2026-02-11T04:21:10.194Z" }, + { url = "https://files.pythonhosted.org/packages/14/a1/16c4b823838ba4c9c52c0e6bbda903a3fe5a1bdbf1b8eb4fff7156f3e318/pillow-12.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6c6db3b84c87d48d0088943bf33440e0c42370b99b1c2a7989216f7b42eede60", size = 5262561, upload-time = "2026-02-11T04:21:11.742Z" }, + { url = "https://files.pythonhosted.org/packages/bb/ad/ad9dc98ff24f485008aa5cdedaf1a219876f6f6c42a4626c08bc4e80b120/pillow-12.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8b7e5304e34942bf62e15184219a7b5ad4ff7f3bb5cca4d984f37df1a0e1aee2", size = 4657460, upload-time = "2026-02-11T04:21:13.786Z" }, + { url = "https://files.pythonhosted.org/packages/9e/1b/f1a4ea9a895b5732152789326202a82464d5254759fbacae4deea3069334/pillow-12.1.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:18e5bddd742a44b7e6b1e773ab5db102bd7a94c32555ba656e76d319d19c3850", size = 6232698, upload-time = "2026-02-11T04:21:15.949Z" }, + { url = "https://files.pythonhosted.org/packages/95/f4/86f51b8745070daf21fd2e5b1fe0eb35d4db9ca26e6d58366562fb56a743/pillow-12.1.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc44ef1f3de4f45b50ccf9136999d71abb99dca7706bc75d222ed350b9fd2289", size = 8041706, upload-time = "2026-02-11T04:21:17.723Z" }, + { url = "https://files.pythonhosted.org/packages/29/9b/d6ecd956bb1266dd1045e995cce9b8d77759e740953a1c9aad9502a0461e/pillow-12.1.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5a8eb7ed8d4198bccbd07058416eeec51686b498e784eda166395a23eb99138e", size = 6346621, upload-time = "2026-02-11T04:21:19.547Z" }, + { url = "https://files.pythonhosted.org/packages/71/24/538bff45bde96535d7d998c6fed1a751c75ac7c53c37c90dc2601b243893/pillow-12.1.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:47b94983da0c642de92ced1702c5b6c292a84bd3a8e1d1702ff923f183594717", size = 7038069, upload-time = "2026-02-11T04:21:21.378Z" }, + { url = "https://files.pythonhosted.org/packages/94/0e/58cb1a6bc48f746bc4cb3adb8cabff73e2742c92b3bf7a220b7cf69b9177/pillow-12.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:518a48c2aab7ce596d3bf79d0e275661b846e86e4d0e7dec34712c30fe07f02a", size = 6460040, upload-time = "2026-02-11T04:21:23.148Z" }, + { url = "https://files.pythonhosted.org/packages/6c/57/9045cb3ff11eeb6c1adce3b2d60d7d299d7b273a2e6c8381a524abfdc474/pillow-12.1.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a550ae29b95c6dc13cf69e2c9dc5747f814c54eeb2e32d683e5e93af56caa029", size = 7164523, upload-time = "2026-02-11T04:21:25.01Z" }, + { url = "https://files.pythonhosted.org/packages/73/f2/9be9cb99f2175f0d4dbadd6616ce1bf068ee54a28277ea1bf1fbf729c250/pillow-12.1.1-cp313-cp313-win32.whl", hash = "sha256:a003d7422449f6d1e3a34e3dd4110c22148336918ddbfc6a32581cd54b2e0b2b", size = 6332552, upload-time = "2026-02-11T04:21:27.238Z" }, + { url = "https://files.pythonhosted.org/packages/3f/eb/b0834ad8b583d7d9d42b80becff092082a1c3c156bb582590fcc973f1c7c/pillow-12.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:344cf1e3dab3be4b1fa08e449323d98a2a3f819ad20f4b22e77a0ede31f0faa1", size = 7040108, upload-time = "2026-02-11T04:21:29.462Z" }, + { url = "https://files.pythonhosted.org/packages/d5/7d/fc09634e2aabdd0feabaff4a32f4a7d97789223e7c2042fd805ea4b4d2c2/pillow-12.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:5c0dd1636633e7e6a0afe7bf6a51a14992b7f8e60de5789018ebbdfae55b040a", size = 2453712, upload-time = "2026-02-11T04:21:31.072Z" }, + { url = "https://files.pythonhosted.org/packages/19/2a/b9d62794fc8a0dd14c1943df68347badbd5511103e0d04c035ffe5cf2255/pillow-12.1.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0330d233c1a0ead844fc097a7d16c0abff4c12e856c0b325f231820fee1f39da", size = 5264880, upload-time = "2026-02-11T04:21:32.865Z" }, + { url = "https://files.pythonhosted.org/packages/26/9d/e03d857d1347fa5ed9247e123fcd2a97b6220e15e9cb73ca0a8d91702c6e/pillow-12.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:5dae5f21afb91322f2ff791895ddd8889e5e947ff59f71b46041c8ce6db790bc", size = 4660616, upload-time = "2026-02-11T04:21:34.97Z" }, + { url = "https://files.pythonhosted.org/packages/f7/ec/8a6d22afd02570d30954e043f09c32772bfe143ba9285e2fdb11284952cd/pillow-12.1.1-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2e0c664be47252947d870ac0d327fea7e63985a08794758aa8af5b6cb6ec0c9c", size = 6269008, upload-time = "2026-02-11T04:21:36.623Z" }, + { url = "https://files.pythonhosted.org/packages/3d/1d/6d875422c9f28a4a361f495a5f68d9de4a66941dc2c619103ca335fa6446/pillow-12.1.1-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:691ab2ac363b8217f7d31b3497108fb1f50faab2f75dfb03284ec2f217e87bf8", size = 8073226, upload-time = "2026-02-11T04:21:38.585Z" }, + { url = "https://files.pythonhosted.org/packages/a1/cd/134b0b6ee5eda6dc09e25e24b40fdafe11a520bc725c1d0bbaa5e00bf95b/pillow-12.1.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e9e8064fb1cc019296958595f6db671fba95209e3ceb0c4734c9baf97de04b20", size = 6380136, upload-time = "2026-02-11T04:21:40.562Z" }, + { url = "https://files.pythonhosted.org/packages/7a/a9/7628f013f18f001c1b98d8fffe3452f306a70dc6aba7d931019e0492f45e/pillow-12.1.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:472a8d7ded663e6162dafdf20015c486a7009483ca671cece7a9279b512fcb13", size = 7067129, upload-time = "2026-02-11T04:21:42.521Z" }, + { url = "https://files.pythonhosted.org/packages/1e/f8/66ab30a2193b277785601e82ee2d49f68ea575d9637e5e234faaa98efa4c/pillow-12.1.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:89b54027a766529136a06cfebeecb3a04900397a3590fd252160b888479517bf", size = 6491807, upload-time = "2026-02-11T04:21:44.22Z" }, + { url = "https://files.pythonhosted.org/packages/da/0b/a877a6627dc8318fdb84e357c5e1a758c0941ab1ddffdafd231983788579/pillow-12.1.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:86172b0831b82ce4f7877f280055892b31179e1576aa00d0df3bb1bbf8c3e524", size = 7190954, upload-time = "2026-02-11T04:21:46.114Z" }, + { url = "https://files.pythonhosted.org/packages/83/43/6f732ff85743cf746b1361b91665d9f5155e1483817f693f8d57ea93147f/pillow-12.1.1-cp313-cp313t-win32.whl", hash = "sha256:44ce27545b6efcf0fdbdceb31c9a5bdea9333e664cda58a7e674bb74608b3986", size = 6336441, upload-time = "2026-02-11T04:21:48.22Z" }, + { url = "https://files.pythonhosted.org/packages/3b/44/e865ef3986611bb75bfabdf94a590016ea327833f434558801122979cd0e/pillow-12.1.1-cp313-cp313t-win_amd64.whl", hash = "sha256:a285e3eb7a5a45a2ff504e31f4a8d1b12ef62e84e5411c6804a42197c1cf586c", size = 7045383, upload-time = "2026-02-11T04:21:50.015Z" }, + { url = "https://files.pythonhosted.org/packages/a8/c6/f4fb24268d0c6908b9f04143697ea18b0379490cb74ba9e8d41b898bd005/pillow-12.1.1-cp313-cp313t-win_arm64.whl", hash = "sha256:cc7d296b5ea4d29e6570dabeaed58d31c3fea35a633a69679fb03d7664f43fb3", size = 2456104, upload-time = "2026-02-11T04:21:51.633Z" }, + { url = "https://files.pythonhosted.org/packages/03/d0/bebb3ffbf31c5a8e97241476c4cf8b9828954693ce6744b4a2326af3e16b/pillow-12.1.1-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:417423db963cb4be8bac3fc1204fe61610f6abeed1580a7a2cbb2fbda20f12af", size = 4062652, upload-time = "2026-02-11T04:21:53.19Z" }, + { url = "https://files.pythonhosted.org/packages/2d/c0/0e16fb0addda4851445c28f8350d8c512f09de27bbb0d6d0bbf8b6709605/pillow-12.1.1-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:b957b71c6b2387610f556a7eb0828afbe40b4a98036fc0d2acfa5a44a0c2036f", size = 4138823, upload-time = "2026-02-11T04:22:03.088Z" }, + { url = "https://files.pythonhosted.org/packages/6b/fb/6170ec655d6f6bb6630a013dd7cf7bc218423d7b5fa9071bf63dc32175ae/pillow-12.1.1-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:097690ba1f2efdeb165a20469d59d8bb03c55fb6621eb2041a060ae8ea3e9642", size = 3601143, upload-time = "2026-02-11T04:22:04.909Z" }, + { url = "https://files.pythonhosted.org/packages/59/04/dc5c3f297510ba9a6837cbb318b87dd2b8f73eb41a43cc63767f65cb599c/pillow-12.1.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:2815a87ab27848db0321fb78c7f0b2c8649dee134b7f2b80c6a45c6831d75ccd", size = 5266254, upload-time = "2026-02-11T04:22:07.656Z" }, + { url = "https://files.pythonhosted.org/packages/05/30/5db1236b0d6313f03ebf97f5e17cda9ca060f524b2fcc875149a8360b21c/pillow-12.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:f7ed2c6543bad5a7d5530eb9e78c53132f93dfa44a28492db88b41cdab885202", size = 4657499, upload-time = "2026-02-11T04:22:09.613Z" }, + { url = "https://files.pythonhosted.org/packages/6f/18/008d2ca0eb612e81968e8be0bbae5051efba24d52debf930126d7eaacbba/pillow-12.1.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:652a2c9ccfb556235b2b501a3a7cf3742148cd22e04b5625c5fe057ea3e3191f", size = 6232137, upload-time = "2026-02-11T04:22:11.434Z" }, + { url = "https://files.pythonhosted.org/packages/70/f1/f14d5b8eeb4b2cd62b9f9f847eb6605f103df89ef619ac68f92f748614ea/pillow-12.1.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d6e4571eedf43af33d0fc233a382a76e849badbccdf1ac438841308652a08e1f", size = 8042721, upload-time = "2026-02-11T04:22:13.321Z" }, + { url = "https://files.pythonhosted.org/packages/5a/d6/17824509146e4babbdabf04d8171491fa9d776f7061ff6e727522df9bd03/pillow-12.1.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b574c51cf7d5d62e9be37ba446224b59a2da26dc4c1bb2ecbe936a4fb1a7cb7f", size = 6347798, upload-time = "2026-02-11T04:22:15.449Z" }, + { url = "https://files.pythonhosted.org/packages/d1/ee/c85a38a9ab92037a75615aba572c85ea51e605265036e00c5b67dfafbfe2/pillow-12.1.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a37691702ed687799de29a518d63d4682d9016932db66d4e90c345831b02fb4e", size = 7039315, upload-time = "2026-02-11T04:22:17.24Z" }, + { url = "https://files.pythonhosted.org/packages/ec/f3/bc8ccc6e08a148290d7523bde4d9a0d6c981db34631390dc6e6ec34cacf6/pillow-12.1.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f95c00d5d6700b2b890479664a06e754974848afaae5e21beb4d83c106923fd0", size = 6462360, upload-time = "2026-02-11T04:22:19.111Z" }, + { url = "https://files.pythonhosted.org/packages/f6/ab/69a42656adb1d0665ab051eec58a41f169ad295cf81ad45406963105408f/pillow-12.1.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:559b38da23606e68681337ad74622c4dbba02254fc9cb4488a305dd5975c7eeb", size = 7165438, upload-time = "2026-02-11T04:22:21.041Z" }, + { url = "https://files.pythonhosted.org/packages/02/46/81f7aa8941873f0f01d4b55cc543b0a3d03ec2ee30d617a0448bf6bd6dec/pillow-12.1.1-cp314-cp314-win32.whl", hash = "sha256:03edcc34d688572014ff223c125a3f77fb08091e4607e7745002fc214070b35f", size = 6431503, upload-time = "2026-02-11T04:22:22.833Z" }, + { url = "https://files.pythonhosted.org/packages/40/72/4c245f7d1044b67affc7f134a09ea619d4895333d35322b775b928180044/pillow-12.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:50480dcd74fa63b8e78235957d302d98d98d82ccbfac4c7e12108ba9ecbdba15", size = 7176748, upload-time = "2026-02-11T04:22:24.64Z" }, + { url = "https://files.pythonhosted.org/packages/e4/ad/8a87bdbe038c5c698736e3348af5c2194ffb872ea52f11894c95f9305435/pillow-12.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:5cb1785d97b0c3d1d1a16bc1d710c4a0049daefc4935f3a8f31f827f4d3d2e7f", size = 2544314, upload-time = "2026-02-11T04:22:26.685Z" }, + { url = "https://files.pythonhosted.org/packages/6c/9d/efd18493f9de13b87ede7c47e69184b9e859e4427225ea962e32e56a49bc/pillow-12.1.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:1f90cff8aa76835cba5769f0b3121a22bd4eb9e6884cfe338216e557a9a548b8", size = 5268612, upload-time = "2026-02-11T04:22:29.884Z" }, + { url = "https://files.pythonhosted.org/packages/f8/f1/4f42eb2b388eb2ffc660dcb7f7b556c1015c53ebd5f7f754965ef997585b/pillow-12.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:1f1be78ce9466a7ee64bfda57bdba0f7cc499d9794d518b854816c41bf0aa4e9", size = 4660567, upload-time = "2026-02-11T04:22:31.799Z" }, + { url = "https://files.pythonhosted.org/packages/01/54/df6ef130fa43e4b82e32624a7b821a2be1c5653a5fdad8469687a7db4e00/pillow-12.1.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:42fc1f4677106188ad9a55562bbade416f8b55456f522430fadab3cef7cd4e60", size = 6269951, upload-time = "2026-02-11T04:22:33.921Z" }, + { url = "https://files.pythonhosted.org/packages/a9/48/618752d06cc44bb4aae8ce0cd4e6426871929ed7b46215638088270d9b34/pillow-12.1.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98edb152429ab62a1818039744d8fbb3ccab98a7c29fc3d5fcef158f3f1f68b7", size = 8074769, upload-time = "2026-02-11T04:22:35.877Z" }, + { url = "https://files.pythonhosted.org/packages/c3/bd/f1d71eb39a72fa088d938655afba3e00b38018d052752f435838961127d8/pillow-12.1.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d470ab1178551dd17fdba0fef463359c41aaa613cdcd7ff8373f54be629f9f8f", size = 6381358, upload-time = "2026-02-11T04:22:37.698Z" }, + { url = "https://files.pythonhosted.org/packages/64/ef/c784e20b96674ed36a5af839305f55616f8b4f8aa8eeccf8531a6e312243/pillow-12.1.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6408a7b064595afcab0a49393a413732a35788f2a5092fdc6266952ed67de586", size = 7068558, upload-time = "2026-02-11T04:22:39.597Z" }, + { url = "https://files.pythonhosted.org/packages/73/cb/8059688b74422ae61278202c4e1ad992e8a2e7375227be0a21c6b87ca8d5/pillow-12.1.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:5d8c41325b382c07799a3682c1c258469ea2ff97103c53717b7893862d0c98ce", size = 6493028, upload-time = "2026-02-11T04:22:42.73Z" }, + { url = "https://files.pythonhosted.org/packages/c6/da/e3c008ed7d2dd1f905b15949325934510b9d1931e5df999bb15972756818/pillow-12.1.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:c7697918b5be27424e9ce568193efd13d925c4481dd364e43f5dff72d33e10f8", size = 7191940, upload-time = "2026-02-11T04:22:44.543Z" }, + { url = "https://files.pythonhosted.org/packages/01/4a/9202e8d11714c1fc5951f2e1ef362f2d7fbc595e1f6717971d5dd750e969/pillow-12.1.1-cp314-cp314t-win32.whl", hash = "sha256:d2912fd8114fc5545aa3a4b5576512f64c55a03f3ebcca4c10194d593d43ea36", size = 6438736, upload-time = "2026-02-11T04:22:46.347Z" }, + { url = "https://files.pythonhosted.org/packages/f3/ca/cbce2327eb9885476b3957b2e82eb12c866a8b16ad77392864ad601022ce/pillow-12.1.1-cp314-cp314t-win_amd64.whl", hash = "sha256:4ceb838d4bd9dab43e06c363cab2eebf63846d6a4aeaea283bbdfd8f1a8ed58b", size = 7182894, upload-time = "2026-02-11T04:22:48.114Z" }, + { url = "https://files.pythonhosted.org/packages/ec/d2/de599c95ba0a973b94410477f8bf0b6f0b5e67360eb89bcb1ad365258beb/pillow-12.1.1-cp314-cp314t-win_arm64.whl", hash = "sha256:7b03048319bfc6170e93bd60728a1af51d3dd7704935feb228c4d4faab35d334", size = 2546446, upload-time = "2026-02-11T04:22:50.342Z" }, + { url = "https://files.pythonhosted.org/packages/56/11/5d43209aa4cb58e0cc80127956ff1796a68b928e6324bbf06ef4db34367b/pillow-12.1.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:600fd103672b925fe62ed08e0d874ea34d692474df6f4bf7ebe148b30f89f39f", size = 5228606, upload-time = "2026-02-11T04:22:52.106Z" }, + { url = "https://files.pythonhosted.org/packages/5f/d5/3b005b4e4fda6698b371fa6c21b097d4707585d7db99e98d9b0b87ac612a/pillow-12.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:665e1b916b043cef294bc54d47bf02d87e13f769bc4bc5fa225a24b3a6c5aca9", size = 4622321, upload-time = "2026-02-11T04:22:53.827Z" }, + { url = "https://files.pythonhosted.org/packages/df/36/ed3ea2d594356fd8037e5a01f6156c74bc8d92dbb0fa60746cc96cabb6e8/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:495c302af3aad1ca67420ddd5c7bd480c8867ad173528767d906428057a11f0e", size = 5247579, upload-time = "2026-02-11T04:22:56.094Z" }, + { url = "https://files.pythonhosted.org/packages/54/9a/9cc3e029683cf6d20ae5085da0dafc63148e3252c2f13328e553aaa13cfb/pillow-12.1.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8fd420ef0c52c88b5a035a0886f367748c72147b2b8f384c9d12656678dfdfa9", size = 6989094, upload-time = "2026-02-11T04:22:58.288Z" }, + { url = "https://files.pythonhosted.org/packages/00/98/fc53ab36da80b88df0967896b6c4b4cd948a0dc5aa40a754266aa3ae48b3/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f975aa7ef9684ce7e2c18a3aa8f8e2106ce1e46b94ab713d156b2898811651d3", size = 5313850, upload-time = "2026-02-11T04:23:00.554Z" }, + { url = "https://files.pythonhosted.org/packages/30/02/00fa585abfd9fe9d73e5f6e554dc36cc2b842898cbfc46d70353dae227f8/pillow-12.1.1-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8089c852a56c2966cf18835db62d9b34fef7ba74c726ad943928d494fa7f4735", size = 5963343, upload-time = "2026-02-11T04:23:02.934Z" }, + { url = "https://files.pythonhosted.org/packages/f2/26/c56ce33ca856e358d27fda9676c055395abddb82c35ac0f593877ed4562e/pillow-12.1.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:cb9bb857b2d057c6dfc72ac5f3b44836924ba15721882ef103cecb40d002d80e", size = 7029880, upload-time = "2026-02-11T04:23:04.783Z" }, +] + +[[package]] +name = "pip" +version = "26.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/48/83/0d7d4e9efe3344b8e2fe25d93be44f64b65364d3c8d7bc6dc90198d5422e/pip-26.0.1.tar.gz", hash = "sha256:c4037d8a277c89b320abe636d59f91e6d0922d08a05b60e85e53b296613346d8", size = 1812747, upload-time = "2026-02-05T02:20:18.702Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/de/f0/c81e05b613866b76d2d1066490adf1a3dbc4ee9d9c839961c3fc8a6997af/pip-26.0.1-py3-none-any.whl", hash = "sha256:bdb1b08f4274833d62c1aa29e20907365a2ceb950410df15fc9521bad440122b", size = 1787723, upload-time = "2026-02-05T02:20:16.416Z" }, +] + +[[package]] +name = "platformdirs" +version = "4.9.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/19/56/8d4c30c8a1d07013911a8fdbd8f89440ef9f08d07a1b50ab8ca8be5a20f9/platformdirs-4.9.4.tar.gz", hash = "sha256:1ec356301b7dc906d83f371c8f487070e99d3ccf9e501686456394622a01a934", size = 28737, upload-time = "2026-03-05T18:34:13.271Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/63/d7/97f7e3a6abb67d8080dd406fd4df842c2be0efaf712d1c899c32a075027c/platformdirs-4.9.4-py3-none-any.whl", hash = "sha256:68a9a4619a666ea6439f2ff250c12a853cd1cbd5158d258bd824a7df6be2f868", size = 21216, upload-time = "2026-03-05T18:34:12.172Z" }, +] + +[[package]] +name = "pluggy" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" }, +] + +[[package]] +name = "pooch" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "packaging" }, + { name = "platformdirs" }, + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/83/43/85ef45e8b36c6a48546af7b266592dc32d7f67837a6514d111bced6d7d75/pooch-1.9.0.tar.gz", hash = "sha256:de46729579b9857ffd3e741987a2f6d5e0e03219892c167c6578c0091fb511ed", size = 61788, upload-time = "2026-01-30T19:15:09.649Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2a/2d/d4bf65e47cea8ff2c794a600c4fd1273a7902f268757c531e0ee9f18aa58/pooch-1.9.0-py3-none-any.whl", hash = "sha256:f265597baa9f760d25ceb29d0beb8186c243d6607b0f60b83ecf14078dbc703b", size = 67175, upload-time = "2026-01-30T19:15:08.36Z" }, +] + +[[package]] +name = "prometheus-client" +version = "0.24.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f0/58/a794d23feb6b00fc0c72787d7e87d872a6730dd9ed7c7b3e954637d8f280/prometheus_client-0.24.1.tar.gz", hash = "sha256:7e0ced7fbbd40f7b84962d5d2ab6f17ef88a72504dcf7c0b40737b43b2a461f9", size = 85616, upload-time = "2026-01-14T15:26:26.965Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/74/c3/24a2f845e3917201628ecaba4f18bab4d18a337834c1df2a159ee9d22a42/prometheus_client-0.24.1-py3-none-any.whl", hash = "sha256:150db128af71a5c2482b36e588fc8a6b95e498750da4b17065947c16070f4055", size = 64057, upload-time = "2026-01-14T15:26:24.42Z" }, +] + +[[package]] +name = "prompt-toolkit" +version = "3.0.52" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "wcwidth" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a1/96/06e01a7b38dce6fe1db213e061a4602dd6032a8a97ef6c1a862537732421/prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855", size = 434198, upload-time = "2025-08-27T15:24:02.057Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/84/03/0d3ce49e2505ae70cf43bc5bb3033955d2fc9f932163e84dc0779cc47f48/prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955", size = 391431, upload-time = "2025-08-27T15:23:59.498Z" }, +] + +[[package]] +name = "psutil" +version = "7.2.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/aa/c6/d1ddf4abb55e93cebc4f2ed8b5d6dbad109ecb8d63748dd2b20ab5e57ebe/psutil-7.2.2.tar.gz", hash = "sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372", size = 493740, upload-time = "2026-01-28T18:14:54.428Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/51/08/510cbdb69c25a96f4ae523f733cdc963ae654904e8db864c07585ef99875/psutil-7.2.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:2edccc433cbfa046b980b0df0171cd25bcaeb3a68fe9022db0979e7aa74a826b", size = 130595, upload-time = "2026-01-28T18:14:57.293Z" }, + { url = "https://files.pythonhosted.org/packages/d6/f5/97baea3fe7a5a9af7436301f85490905379b1c6f2dd51fe3ecf24b4c5fbf/psutil-7.2.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78c8603dcd9a04c7364f1a3e670cea95d51ee865e4efb3556a3a63adef958ea", size = 131082, upload-time = "2026-01-28T18:14:59.732Z" }, + { url = "https://files.pythonhosted.org/packages/37/d6/246513fbf9fa174af531f28412297dd05241d97a75911ac8febefa1a53c6/psutil-7.2.2-cp313-cp313t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1a571f2330c966c62aeda00dd24620425d4b0cc86881c89861fbc04549e5dc63", size = 181476, upload-time = "2026-01-28T18:15:01.884Z" }, + { url = "https://files.pythonhosted.org/packages/b8/b5/9182c9af3836cca61696dabe4fd1304e17bc56cb62f17439e1154f225dd3/psutil-7.2.2-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:917e891983ca3c1887b4ef36447b1e0873e70c933afc831c6b6da078ba474312", size = 184062, upload-time = "2026-01-28T18:15:04.436Z" }, + { url = "https://files.pythonhosted.org/packages/16/ba/0756dca669f5a9300d0cbcbfae9a4c30e446dfc7440ffe43ded5724bfd93/psutil-7.2.2-cp313-cp313t-win_amd64.whl", hash = "sha256:ab486563df44c17f5173621c7b198955bd6b613fb87c71c161f827d3fb149a9b", size = 139893, upload-time = "2026-01-28T18:15:06.378Z" }, + { url = "https://files.pythonhosted.org/packages/1c/61/8fa0e26f33623b49949346de05ec1ddaad02ed8ba64af45f40a147dbfa97/psutil-7.2.2-cp313-cp313t-win_arm64.whl", hash = "sha256:ae0aefdd8796a7737eccea863f80f81e468a1e4cf14d926bd9b6f5f2d5f90ca9", size = 135589, upload-time = "2026-01-28T18:15:08.03Z" }, + { url = "https://files.pythonhosted.org/packages/81/69/ef179ab5ca24f32acc1dac0c247fd6a13b501fd5534dbae0e05a1c48b66d/psutil-7.2.2-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:eed63d3b4d62449571547b60578c5b2c4bcccc5387148db46e0c2313dad0ee00", size = 130664, upload-time = "2026-01-28T18:15:09.469Z" }, + { url = "https://files.pythonhosted.org/packages/7b/64/665248b557a236d3fa9efc378d60d95ef56dd0a490c2cd37dafc7660d4a9/psutil-7.2.2-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:7b6d09433a10592ce39b13d7be5a54fbac1d1228ed29abc880fb23df7cb694c9", size = 131087, upload-time = "2026-01-28T18:15:11.724Z" }, + { url = "https://files.pythonhosted.org/packages/d5/2e/e6782744700d6759ebce3043dcfa661fb61e2fb752b91cdeae9af12c2178/psutil-7.2.2-cp314-cp314t-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fa4ecf83bcdf6e6c8f4449aff98eefb5d0604bf88cb883d7da3d8d2d909546a", size = 182383, upload-time = "2026-01-28T18:15:13.445Z" }, + { url = "https://files.pythonhosted.org/packages/57/49/0a41cefd10cb7505cdc04dab3eacf24c0c2cb158a998b8c7b1d27ee2c1f5/psutil-7.2.2-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e452c464a02e7dc7822a05d25db4cde564444a67e58539a00f929c51eddda0cf", size = 185210, upload-time = "2026-01-28T18:15:16.002Z" }, + { url = "https://files.pythonhosted.org/packages/dd/2c/ff9bfb544f283ba5f83ba725a3c5fec6d6b10b8f27ac1dc641c473dc390d/psutil-7.2.2-cp314-cp314t-win_amd64.whl", hash = "sha256:c7663d4e37f13e884d13994247449e9f8f574bc4655d509c3b95e9ec9e2b9dc1", size = 141228, upload-time = "2026-01-28T18:15:18.385Z" }, + { url = "https://files.pythonhosted.org/packages/f2/fc/f8d9c31db14fcec13748d373e668bc3bed94d9077dbc17fb0eebc073233c/psutil-7.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841", size = 136284, upload-time = "2026-01-28T18:15:19.912Z" }, + { url = "https://files.pythonhosted.org/packages/e7/36/5ee6e05c9bd427237b11b3937ad82bb8ad2752d72c6969314590dd0c2f6e/psutil-7.2.2-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ed0cace939114f62738d808fdcecd4c869222507e266e574799e9c0faa17d486", size = 129090, upload-time = "2026-01-28T18:15:22.168Z" }, + { url = "https://files.pythonhosted.org/packages/80/c4/f5af4c1ca8c1eeb2e92ccca14ce8effdeec651d5ab6053c589b074eda6e1/psutil-7.2.2-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:1a7b04c10f32cc88ab39cbf606e117fd74721c831c98a27dc04578deb0c16979", size = 129859, upload-time = "2026-01-28T18:15:23.795Z" }, + { url = "https://files.pythonhosted.org/packages/b5/70/5d8df3b09e25bce090399cf48e452d25c935ab72dad19406c77f4e828045/psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9", size = 155560, upload-time = "2026-01-28T18:15:25.976Z" }, + { url = "https://files.pythonhosted.org/packages/63/65/37648c0c158dc222aba51c089eb3bdfa238e621674dc42d48706e639204f/psutil-7.2.2-cp36-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b0726cecd84f9474419d67252add4ac0cd9811b04d61123054b9fb6f57df6e9e", size = 156997, upload-time = "2026-01-28T18:15:27.794Z" }, + { url = "https://files.pythonhosted.org/packages/8e/13/125093eadae863ce03c6ffdbae9929430d116a246ef69866dad94da3bfbc/psutil-7.2.2-cp36-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fd04ef36b4a6d599bbdb225dd1d3f51e00105f6d48a28f006da7f9822f2606d8", size = 148972, upload-time = "2026-01-28T18:15:29.342Z" }, + { url = "https://files.pythonhosted.org/packages/04/78/0acd37ca84ce3ddffaa92ef0f571e073faa6d8ff1f0559ab1272188ea2be/psutil-7.2.2-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b58fabe35e80b264a4e3bb23e6b96f9e45a3df7fb7eed419ac0e5947c61e47cc", size = 148266, upload-time = "2026-01-28T18:15:31.597Z" }, + { url = "https://files.pythonhosted.org/packages/b4/90/e2159492b5426be0c1fef7acba807a03511f97c5f86b3caeda6ad92351a7/psutil-7.2.2-cp37-abi3-win_amd64.whl", hash = "sha256:eb7e81434c8d223ec4a219b5fc1c47d0417b12be7ea866e24fb5ad6e84b3d988", size = 137737, upload-time = "2026-01-28T18:15:33.849Z" }, + { url = "https://files.pythonhosted.org/packages/8c/c7/7bb2e321574b10df20cbde462a94e2b71d05f9bbda251ef27d104668306a/psutil-7.2.2-cp37-abi3-win_arm64.whl", hash = "sha256:8c233660f575a5a89e6d4cb65d9f938126312bca76d8fe087b947b3a1aaac9ee", size = 134617, upload-time = "2026-01-28T18:15:36.514Z" }, +] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/e5/16ff212c1e452235a90aeb09066144d0c5a6a8c0834397e03f5224495c4e/ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220", size = 70762, upload-time = "2020-12-28T15:15:30.155Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35", size = 13993, upload-time = "2020-12-28T15:15:28.35Z" }, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cd/05/0a34433a064256a578f1783a10da6df098ceaa4a57bbeaa96a6c0352786b/pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42", size = 19752, upload-time = "2024-07-21T12:58:21.801Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0", size = 11842, upload-time = "2024-07-21T12:58:20.04Z" }, +] + +[[package]] +name = "pyarrow" +version = "23.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/88/22/134986a4cc224d593c1afde5494d18ff629393d74cc2eddb176669f234a4/pyarrow-23.0.1.tar.gz", hash = "sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019", size = 1167336, upload-time = "2026-02-16T10:14:12.39Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/bc/a8/24e5dc6855f50a62936ceb004e6e9645e4219a8065f304145d7fb8a79d5d/pyarrow-23.0.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:3fab8f82571844eb3c460f90a75583801d14ca0cc32b1acc8c361650e006fd56", size = 34307390, upload-time = "2026-02-16T10:08:08.654Z" }, + { url = "https://files.pythonhosted.org/packages/bc/8e/4be5617b4aaae0287f621ad31c6036e5f63118cfca0dc57d42121ff49b51/pyarrow-23.0.1-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:3f91c038b95f71ddfc865f11d5876c42f343b4495535bd262c7b321b0b94507c", size = 35853761, upload-time = "2026-02-16T10:08:17.811Z" }, + { url = "https://files.pythonhosted.org/packages/2e/08/3e56a18819462210432ae37d10f5c8eed3828be1d6c751b6e6a2e93c286a/pyarrow-23.0.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:d0744403adabef53c985a7f8a082b502a368510c40d184df349a0a8754533258", size = 44493116, upload-time = "2026-02-16T10:08:25.792Z" }, + { url = "https://files.pythonhosted.org/packages/f8/82/c40b68001dbec8a3faa4c08cd8c200798ac732d2854537c5449dc859f55a/pyarrow-23.0.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:c33b5bf406284fd0bba436ed6f6c3ebe8e311722b441d89397c54f871c6863a2", size = 47564532, upload-time = "2026-02-16T10:08:34.27Z" }, + { url = "https://files.pythonhosted.org/packages/20/bc/73f611989116b6f53347581b02177f9f620efdf3cd3f405d0e83cdf53a83/pyarrow-23.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ddf743e82f69dcd6dbbcb63628895d7161e04e56794ef80550ac6f3315eeb1d5", size = 48183685, upload-time = "2026-02-16T10:08:42.889Z" }, + { url = "https://files.pythonhosted.org/packages/b0/cc/6c6b3ecdae2a8c3aced99956187e8302fc954cc2cca2a37cf2111dad16ce/pyarrow-23.0.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e052a211c5ac9848ae15d5ec875ed0943c0221e2fcfe69eee80b604b4e703222", size = 50605582, upload-time = "2026-02-16T10:08:51.641Z" }, + { url = "https://files.pythonhosted.org/packages/8d/94/d359e708672878d7638a04a0448edf7c707f9e5606cee11e15aaa5c7535a/pyarrow-23.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:5abde149bb3ce524782d838eb67ac095cd3fd6090eba051130589793f1a7f76d", size = 27521148, upload-time = "2026-02-16T10:08:58.077Z" }, + { url = "https://files.pythonhosted.org/packages/b0/41/8e6b6ef7e225d4ceead8459427a52afdc23379768f54dd3566014d7618c1/pyarrow-23.0.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb", size = 34302230, upload-time = "2026-02-16T10:09:03.859Z" }, + { url = "https://files.pythonhosted.org/packages/bf/4a/1472c00392f521fea03ae93408bf445cc7bfa1ab81683faf9bc188e36629/pyarrow-23.0.1-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350", size = 35850050, upload-time = "2026-02-16T10:09:11.877Z" }, + { url = "https://files.pythonhosted.org/packages/0c/b2/bd1f2f05ded56af7f54d702c8364c9c43cd6abb91b0e9933f3d77b4f4132/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd", size = 44491918, upload-time = "2026-02-16T10:09:18.144Z" }, + { url = "https://files.pythonhosted.org/packages/0b/62/96459ef5b67957eac38a90f541d1c28833d1b367f014a482cb63f3b7cd2d/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:26d50dee49d741ac0e82185033488d28d35be4d763ae6f321f97d1140eb7a0e9", size = 47562811, upload-time = "2026-02-16T10:09:25.792Z" }, + { url = "https://files.pythonhosted.org/packages/7d/94/1170e235add1f5f45a954e26cd0e906e7e74e23392dcb560de471f7366ec/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:3c30143b17161310f151f4a2bcfe41b5ff744238c1039338779424e38579d701", size = 48183766, upload-time = "2026-02-16T10:09:34.645Z" }, + { url = "https://files.pythonhosted.org/packages/0e/2d/39a42af4570377b99774cdb47f63ee6c7da7616bd55b3d5001aa18edfe4f/pyarrow-23.0.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db2190fa79c80a23fdd29fef4b8992893f024ae7c17d2f5f4db7171fa30c2c78", size = 50607669, upload-time = "2026-02-16T10:09:44.153Z" }, + { url = "https://files.pythonhosted.org/packages/00/ca/db94101c187f3df742133ac837e93b1f269ebdac49427f8310ee40b6a58f/pyarrow-23.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:f00f993a8179e0e1c9713bcc0baf6d6c01326a406a9c23495ec1ba9c9ebf2919", size = 27527698, upload-time = "2026-02-16T10:09:50.263Z" }, + { url = "https://files.pythonhosted.org/packages/9a/4b/4166bb5abbfe6f750fc60ad337c43ecf61340fa52ab386da6e8dbf9e63c4/pyarrow-23.0.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f4b0dbfa124c0bb161f8b5ebb40f1a680b70279aa0c9901d44a2b5a20806039f", size = 34214575, upload-time = "2026-02-16T10:09:56.225Z" }, + { url = "https://files.pythonhosted.org/packages/e1/da/3f941e3734ac8088ea588b53e860baeddac8323ea40ce22e3d0baa865cc9/pyarrow-23.0.1-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:7707d2b6673f7de054e2e83d59f9e805939038eebe1763fe811ee8fa5c0cd1a7", size = 35832540, upload-time = "2026-02-16T10:10:03.428Z" }, + { url = "https://files.pythonhosted.org/packages/88/7c/3d841c366620e906d54430817531b877ba646310296df42ef697308c2705/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:86ff03fb9f1a320266e0de855dee4b17da6794c595d207f89bba40d16b5c78b9", size = 44470940, upload-time = "2026-02-16T10:10:10.704Z" }, + { url = "https://files.pythonhosted.org/packages/2c/a5/da83046273d990f256cb79796a190bbf7ec999269705ddc609403f8c6b06/pyarrow-23.0.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:813d99f31275919c383aab17f0f455a04f5a429c261cc411b1e9a8f5e4aaaa05", size = 47586063, upload-time = "2026-02-16T10:10:17.95Z" }, + { url = "https://files.pythonhosted.org/packages/5b/3c/b7d2ebcff47a514f47f9da1e74b7949138c58cfeb108cdd4ee62f43f0cf3/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bf5842f960cddd2ef757d486041d57c96483efc295a8c4a0e20e704cbbf39c67", size = 48173045, upload-time = "2026-02-16T10:10:25.363Z" }, + { url = "https://files.pythonhosted.org/packages/43/b2/b40961262213beaba6acfc88698eb773dfce32ecdf34d19291db94c2bd73/pyarrow-23.0.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:564baf97c858ecc03ec01a41062e8f4698abc3e6e2acd79c01c2e97880a19730", size = 50621741, upload-time = "2026-02-16T10:10:33.477Z" }, + { url = "https://files.pythonhosted.org/packages/f6/70/1fdda42d65b28b078e93d75d371b2185a61da89dda4def8ba6ba41ebdeb4/pyarrow-23.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:07deae7783782ac7250989a7b2ecde9b3c343a643f82e8a4df03d93b633006f0", size = 27620678, upload-time = "2026-02-16T10:10:39.31Z" }, + { url = "https://files.pythonhosted.org/packages/47/10/2cbe4c6f0fb83d2de37249567373d64327a5e4d8db72f486db42875b08f6/pyarrow-23.0.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6b8fda694640b00e8af3c824f99f789e836720aa8c9379fb435d4c4953a756b8", size = 34210066, upload-time = "2026-02-16T10:10:45.487Z" }, + { url = "https://files.pythonhosted.org/packages/cb/4f/679fa7e84dadbaca7a65f7cdba8d6c83febbd93ca12fa4adf40ba3b6362b/pyarrow-23.0.1-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:8ff51b1addc469b9444b7c6f3548e19dc931b172ab234e995a60aea9f6e6025f", size = 35825526, upload-time = "2026-02-16T10:10:52.266Z" }, + { url = "https://files.pythonhosted.org/packages/f9/63/d2747d930882c9d661e9398eefc54f15696547b8983aaaf11d4a2e8b5426/pyarrow-23.0.1-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:71c5be5cbf1e1cb6169d2a0980850bccb558ddc9b747b6206435313c47c37677", size = 44473279, upload-time = "2026-02-16T10:11:01.557Z" }, + { url = "https://files.pythonhosted.org/packages/b3/93/10a48b5e238de6d562a411af6467e71e7aedbc9b87f8d3a35f1560ae30fb/pyarrow-23.0.1-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:9b6f4f17b43bc39d56fec96e53fe89d94bac3eb134137964371b45352d40d0c2", size = 47585798, upload-time = "2026-02-16T10:11:09.401Z" }, + { url = "https://files.pythonhosted.org/packages/5c/20/476943001c54ef078dbf9542280e22741219a184a0632862bca4feccd666/pyarrow-23.0.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9fc13fc6c403d1337acab46a2c4346ca6c9dec5780c3c697cf8abfd5e19b6b37", size = 48179446, upload-time = "2026-02-16T10:11:17.781Z" }, + { url = "https://files.pythonhosted.org/packages/4b/b6/5dd0c47b335fcd8edba9bfab78ad961bd0fd55ebe53468cc393f45e0be60/pyarrow-23.0.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5c16ed4f53247fa3ffb12a14d236de4213a4415d127fe9cebed33d51671113e2", size = 50623972, upload-time = "2026-02-16T10:11:26.185Z" }, + { url = "https://files.pythonhosted.org/packages/d5/09/a532297c9591a727d67760e2e756b83905dd89adb365a7f6e9c72578bcc1/pyarrow-23.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:cecfb12ef629cf6be0b1887f9f86463b0dd3dc3195ae6224e74006be4736035a", size = 27540749, upload-time = "2026-02-16T10:12:23.297Z" }, + { url = "https://files.pythonhosted.org/packages/a5/8e/38749c4b1303e6ae76b3c80618f84861ae0c55dd3c2273842ea6f8258233/pyarrow-23.0.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:29f7f7419a0e30264ea261fdc0e5fe63ce5a6095003db2945d7cd78df391a7e1", size = 34471544, upload-time = "2026-02-16T10:11:32.535Z" }, + { url = "https://files.pythonhosted.org/packages/a3/73/f237b2bc8c669212f842bcfd842b04fc8d936bfc9d471630569132dc920d/pyarrow-23.0.1-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:33d648dc25b51fd8055c19e4261e813dfc4d2427f068bcecc8b53d01b81b0500", size = 35949911, upload-time = "2026-02-16T10:11:39.813Z" }, + { url = "https://files.pythonhosted.org/packages/0c/86/b912195eee0903b5611bf596833def7d146ab2d301afeb4b722c57ffc966/pyarrow-23.0.1-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:cd395abf8f91c673dd3589cadc8cc1ee4e8674fa61b2e923c8dd215d9c7d1f41", size = 44520337, upload-time = "2026-02-16T10:11:47.764Z" }, + { url = "https://files.pythonhosted.org/packages/69/c2/f2a717fb824f62d0be952ea724b4f6f9372a17eed6f704b5c9526f12f2f1/pyarrow-23.0.1-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:00be9576d970c31defb5c32eb72ef585bf600ef6d0a82d5eccaae96639cf9d07", size = 47548944, upload-time = "2026-02-16T10:11:56.607Z" }, + { url = "https://files.pythonhosted.org/packages/84/a7/90007d476b9f0dc308e3bc57b832d004f848fd6c0da601375d20d92d1519/pyarrow-23.0.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c2139549494445609f35a5cda4eb94e2c9e4d704ce60a095b342f82460c73a83", size = 48236269, upload-time = "2026-02-16T10:12:04.47Z" }, + { url = "https://files.pythonhosted.org/packages/b0/3f/b16fab3e77709856eb6ac328ce35f57a6d4a18462c7ca5186ef31b45e0e0/pyarrow-23.0.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:7044b442f184d84e2351e5084600f0d7343d6117aabcbc1ac78eb1ae11eb4125", size = 50604794, upload-time = "2026-02-16T10:12:11.797Z" }, + { url = "https://files.pythonhosted.org/packages/e9/a1/22df0620a9fac31d68397a75465c344e83c3dfe521f7612aea33e27ab6c0/pyarrow-23.0.1-cp313-cp313t-win_amd64.whl", hash = "sha256:a35581e856a2fafa12f3f54fce4331862b1cfb0bef5758347a858a4aa9d6bae8", size = 27660642, upload-time = "2026-02-16T10:12:17.746Z" }, + { url = "https://files.pythonhosted.org/packages/8d/1b/6da9a89583ce7b23ac611f183ae4843cd3a6cf54f079549b0e8c14031e73/pyarrow-23.0.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:5df1161da23636a70838099d4aaa65142777185cc0cdba4037a18cee7d8db9ca", size = 34238755, upload-time = "2026-02-16T10:12:32.819Z" }, + { url = "https://files.pythonhosted.org/packages/ae/b5/d58a241fbe324dbaeb8df07be6af8752c846192d78d2272e551098f74e88/pyarrow-23.0.1-cp314-cp314-macosx_12_0_x86_64.whl", hash = "sha256:fa8e51cb04b9f8c9c5ace6bab63af9a1f88d35c0d6cbf53e8c17c098552285e1", size = 35847826, upload-time = "2026-02-16T10:12:38.949Z" }, + { url = "https://files.pythonhosted.org/packages/54/a5/8cbc83f04aba433ca7b331b38f39e000efd9f0c7ce47128670e737542996/pyarrow-23.0.1-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:0b95a3994f015be13c63148fef8832e8a23938128c185ee951c98908a696e0eb", size = 44536859, upload-time = "2026-02-16T10:12:45.467Z" }, + { url = "https://files.pythonhosted.org/packages/36/2e/c0f017c405fcdc252dbccafbe05e36b0d0eb1ea9a958f081e01c6972927f/pyarrow-23.0.1-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:4982d71350b1a6e5cfe1af742c53dfb759b11ce14141870d05d9e540d13bc5d1", size = 47614443, upload-time = "2026-02-16T10:12:55.525Z" }, + { url = "https://files.pythonhosted.org/packages/af/6b/2314a78057912f5627afa13ba43809d9d653e6630859618b0fd81a4e0759/pyarrow-23.0.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c250248f1fe266db627921c89b47b7c06fee0489ad95b04d50353537d74d6886", size = 48232991, upload-time = "2026-02-16T10:13:04.729Z" }, + { url = "https://files.pythonhosted.org/packages/40/f2/1bcb1d3be3460832ef3370d621142216e15a2c7c62602a4ea19ec240dd64/pyarrow-23.0.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5f4763b83c11c16e5f4c15601ba6dfa849e20723b46aa2617cb4bffe8768479f", size = 50645077, upload-time = "2026-02-16T10:13:14.147Z" }, + { url = "https://files.pythonhosted.org/packages/eb/3f/b1da7b61cd66566a4d4c8383d376c606d1c34a906c3f1cb35c479f59d1aa/pyarrow-23.0.1-cp314-cp314-win_amd64.whl", hash = "sha256:3a4c85ef66c134161987c17b147d6bffdca4566f9a4c1d81a0a01cdf08414ea5", size = 28234271, upload-time = "2026-02-16T10:14:09.397Z" }, + { url = "https://files.pythonhosted.org/packages/b5/78/07f67434e910a0f7323269be7bfbf58699bd0c1d080b18a1ab49ba943fe8/pyarrow-23.0.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:17cd28e906c18af486a499422740298c52d7c6795344ea5002a7720b4eadf16d", size = 34488692, upload-time = "2026-02-16T10:13:21.541Z" }, + { url = "https://files.pythonhosted.org/packages/50/76/34cf7ae93ece1f740a04910d9f7e80ba166b9b4ab9596a953e9e62b90fe1/pyarrow-23.0.1-cp314-cp314t-macosx_12_0_x86_64.whl", hash = "sha256:76e823d0e86b4fb5e1cf4a58d293036e678b5a4b03539be933d3b31f9406859f", size = 35964383, upload-time = "2026-02-16T10:13:28.63Z" }, + { url = "https://files.pythonhosted.org/packages/46/90/459b827238936d4244214be7c684e1b366a63f8c78c380807ae25ed92199/pyarrow-23.0.1-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:a62e1899e3078bf65943078b3ad2a6ddcacf2373bc06379aac61b1e548a75814", size = 44538119, upload-time = "2026-02-16T10:13:35.506Z" }, + { url = "https://files.pythonhosted.org/packages/28/a1/93a71ae5881e99d1f9de1d4554a87be37da11cd6b152239fb5bd924fdc64/pyarrow-23.0.1-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:df088e8f640c9fae3b1f495b3c64755c4e719091caf250f3a74d095ddf3c836d", size = 47571199, upload-time = "2026-02-16T10:13:42.504Z" }, + { url = "https://files.pythonhosted.org/packages/88/a3/d2c462d4ef313521eaf2eff04d204ac60775263f1fb08c374b543f79f610/pyarrow-23.0.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:46718a220d64677c93bc243af1d44b55998255427588e400677d7192671845c7", size = 48259435, upload-time = "2026-02-16T10:13:49.226Z" }, + { url = "https://files.pythonhosted.org/packages/cc/f1/11a544b8c3d38a759eb3fbb022039117fd633e9a7b19e4841cc3da091915/pyarrow-23.0.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a09f3876e87f48bc2f13583ab551f0379e5dfb83210391e68ace404181a20690", size = 50629149, upload-time = "2026-02-16T10:13:57.238Z" }, + { url = "https://files.pythonhosted.org/packages/50/f2/c0e76a0b451ffdf0cf788932e182758eb7558953f4f27f1aff8e2518b653/pyarrow-23.0.1-cp314-cp314t-win_amd64.whl", hash = "sha256:527e8d899f14bd15b740cd5a54ad56b7f98044955373a17179d5956ddb93d9ce", size = 28365807, upload-time = "2026-02-16T10:14:03.892Z" }, +] + +[[package]] +name = "pycparser" +version = "3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1b/7d/92392ff7815c21062bea51aa7b87d45576f649f16458d78b7cf94b9ab2e6/pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29", size = 103492, upload-time = "2026-01-21T14:26:51.89Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0c/c3/44f3fbbfa403ea2a7c779186dc20772604442dde72947e7d01069cbe98e3/pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992", size = 48172, upload-time = "2026-01-21T14:26:50.693Z" }, +] + +[[package]] +name = "pygments" +version = "2.19.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b0/77/a5b8c569bf593b0140bde72ea885a803b82086995367bf2037de0159d924/pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887", size = 4968631, upload-time = "2025-06-21T13:39:12.283Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" }, +] + +[[package]] +name = "pylint" +version = "4.0.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "astroid" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, + { name = "dill" }, + { name = "isort" }, + { name = "mccabe" }, + { name = "platformdirs" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, + { name = "tomlkit" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e4/b6/74d9a8a68b8067efce8d07707fe6a236324ee1e7808d2eb3646ec8517c7d/pylint-4.0.5.tar.gz", hash = "sha256:8cd6a618df75deb013bd7eb98327a95f02a6fb839205a6bbf5456ef96afb317c", size = 1572474, upload-time = "2026-02-20T09:07:33.621Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d5/6f/9ac2548e290764781f9e7e2aaf0685b086379dabfb29ca38536985471eaf/pylint-4.0.5-py3-none-any.whl", hash = "sha256:00f51c9b14a3b3ae08cff6b2cdd43f28165c78b165b628692e428fb1f8dc2cf2", size = 536694, upload-time = "2026-02-20T09:07:31.028Z" }, +] + +[[package]] +name = "pymatreader" +version = "1.2.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "h5py" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "xmltodict" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6b/a4/0248a06442ee4f3c133e40bd38d3f1329d6c7941ea1c88f0a12b879f109e/pymatreader-1.2.2.tar.gz", hash = "sha256:29a5224705fc5648e84c385b43a0fef2de80a99a8f7e7f7ef60631a94fcab403", size = 37061211, upload-time = "2026-03-03T15:24:59.035Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/66/d6a83f1dc71476f3e5140374115c48f8ba9516e319c1c9019a1f8416288c/pymatreader-1.2.2-py3-none-any.whl", hash = "sha256:7362e5180145e2462d7ceb74e88225a48490907298697e7d25726d9254098d79", size = 10250, upload-time = "2026-03-03T15:25:01.285Z" }, +] + +[[package]] +name = "pymdown-extensions" +version = "10.21" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markdown" }, + { name = "pyyaml" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ba/63/06673d1eb6d8f83c0ea1f677d770e12565fb516928b4109c9e2055656a9e/pymdown_extensions-10.21.tar.gz", hash = "sha256:39f4a020f40773f6b2ff31d2cd2546c2c04d0a6498c31d9c688d2be07e1767d5", size = 853363, upload-time = "2026-02-15T20:44:06.748Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6f/2c/5b079febdc65e1c3fb2729bf958d18b45be7113828528e8a0b5850dd819a/pymdown_extensions-10.21-py3-none-any.whl", hash = "sha256:91b879f9f864d49794c2d9534372b10150e6141096c3908a455e45ca72ad9d3f", size = 268877, upload-time = "2026-02-15T20:44:05.464Z" }, +] + +[[package]] +name = "pyparsing" +version = "3.3.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f3/91/9c6ee907786a473bf81c5f53cf703ba0957b23ab84c264080fb5a450416f/pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc", size = 6851574, upload-time = "2026-01-21T03:57:59.36Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d", size = 122781, upload-time = "2026-01-21T03:57:55.912Z" }, +] + +[[package]] +name = "pyqt6" +version = "6.10.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pyqt6-qt6" }, + { name = "pyqt6-sip" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/96/03/e756f52e8b0d7bb5527baf8c46d59af0746391943bdb8655acba22ee4168/pyqt6-6.10.2.tar.gz", hash = "sha256:6c0db5d8cbb9a3e7e2b5b51d0ff3f283121fa27b864db6d2f35b663c9be5cc83", size = 1085573, upload-time = "2026-01-08T16:40:00.244Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/fb/3f/f073a980969aa485ef288eb2e3b94c223ba9c7ac9941543f19b51659b98d/pyqt6-6.10.2-cp39-abi3-macosx_10_14_universal2.whl", hash = "sha256:37ae7c1183fe4dd0c6aefd2006a35731245de1cb6f817bb9e414a3e4848dfd6d", size = 60244482, upload-time = "2026-01-08T16:38:50.837Z" }, + { url = "https://files.pythonhosted.org/packages/ec/3e/9a015651ec71cea2e2f960c37edeb21623ba96a74956c0827def837f7c6b/pyqt6-6.10.2-cp39-abi3-manylinux_2_34_x86_64.whl", hash = "sha256:78e1b3d5763e4cbc84485aef600e0aba5e1932fd263b716f92cd1a40dfa5e924", size = 37899440, upload-time = "2026-01-08T16:39:09.027Z" }, + { url = "https://files.pythonhosted.org/packages/51/74/a88fec2b99700270ca5d7dc7d650236a4990ed6fc88e055ca0fc8a339ee3/pyqt6-6.10.2-cp39-abi3-manylinux_2_39_aarch64.whl", hash = "sha256:bbc3af541bbecd27301bfe69fe445aa1611a9b490bd3de77306b12df632f7ec6", size = 40748467, upload-time = "2026-01-08T16:39:29.551Z" }, + { url = "https://files.pythonhosted.org/packages/75/34/be7a55529607b21db00a49ca53cb07c3092d2a5a95ea19bb95cfa0346904/pyqt6-6.10.2-cp39-abi3-win_amd64.whl", hash = "sha256:bd328cb70bc382c48861cd5f0a11b2b8ae6f5692d5a2d6679ba52785dced327b", size = 26015391, upload-time = "2026-01-08T16:39:42.946Z" }, + { url = "https://files.pythonhosted.org/packages/af/de/d9c88f976602b7884fec4ad54a4575d48e23e4f390e5357ea83917358846/pyqt6-6.10.2-cp39-abi3-win_arm64.whl", hash = "sha256:7901ba1df024b7ee9fdacfb2b7661aeb3749ae8b0bef65428077de3e0450eabb", size = 26208415, upload-time = "2026-01-08T16:39:57.751Z" }, +] + +[[package]] +name = "pyqt6-qt6" +version = "6.10.2" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9a/eb/f04d547d8ed9f20c7b246db4ef5d93b49cab4692009a10652ed0a8b9d2aa/pyqt6_qt6-6.10.2-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:5761cfccc721da2311c3f1213577f0ff1df07bbbbe3fa3a209a256b82cf057e3", size = 68688870, upload-time = "2026-01-29T12:26:48.619Z" }, + { url = "https://files.pythonhosted.org/packages/ce/c8/d99e65ab01c2402fb6bc4f77abef7244f7d5fb2f2e6d5b0abdf71bb2e4fc/pyqt6_qt6-6.10.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6dda853a8db1b8d1a2ddbbe76cc6c3aa86614cad14056bd3c0435d8feea73b2d", size = 62512013, upload-time = "2026-01-29T12:27:24.642Z" }, + { url = "https://files.pythonhosted.org/packages/d5/fe/01fd9b9d2ca139ef61582f2e2da249fa169229144294c1bb27db59ad8420/pyqt6_qt6-6.10.2-py3-none-manylinux_2_34_x86_64.whl", hash = "sha256:19c10b5f0806e9f9bac2c9759bd5d7d19a78967f330fd60a2db409177fa76e49", size = 84028760, upload-time = "2026-01-29T12:28:03.267Z" }, + { url = "https://files.pythonhosted.org/packages/f4/20/a0d027ebb267d3afaf319d94efe1ff4d667004ee83b96701329a4d11fb95/pyqt6_qt6-6.10.2-py3-none-manylinux_2_39_aarch64.whl", hash = "sha256:2e60d616861ca4565cd295418d605975aa2dc407ba4b94c1586a70c92e9cb052", size = 83063975, upload-time = "2026-01-29T12:28:48.928Z" }, + { url = "https://files.pythonhosted.org/packages/06/8e/595f215876d507417cc8565e05519916d3b0b76baedea6a1e4e5105633fc/pyqt6_qt6-6.10.2-py3-none-win_amd64.whl", hash = "sha256:c4b7f7d66cc58bddf1bc1ca28dfcf7a45f58cfcb11d81d13a0510409dd4957ac", size = 78433821, upload-time = "2026-01-29T12:29:35.493Z" }, + { url = "https://files.pythonhosted.org/packages/50/5f/2196e2b536217b87cb3d2ce13ef8f7607d08b02f1990a4bd84a88d293a3c/pyqt6_qt6-6.10.2-py3-none-win_arm64.whl", hash = "sha256:7164a6f0c1335358a3026df9865c8f75395b01f60f0dcd2f66c029ec16fc83d2", size = 58354426, upload-time = "2026-01-29T12:30:02.95Z" }, +] + +[[package]] +name = "pyqt6-sip" +version = "13.11.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/90/24/a753e1af94b9ae5b2da63d4598457308da3cdbf0838c959381db086ccc86/pyqt6_sip-13.11.1.tar.gz", hash = "sha256:869c5b48afe38e55b1ee0dd72182b0886e968cc509b98023ff50010b013ce1be", size = 92574, upload-time = "2026-03-09T13:01:35.418Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/10/5b/99ffdc6382fcd3bc9da24a024ce2ba61e93c9d92ca85f99f381f2e2c8cac/pyqt6_sip-13.11.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a2456a8a68de43f400ffd13f7f8728713434ded374e45fa7754afb9e087b2421", size = 110999, upload-time = "2026-03-09T13:01:01.107Z" }, + { url = "https://files.pythonhosted.org/packages/48/ed/1dbe26f5757ad19601b260cebba0b40c0d868639e3253b26f80e8a1cd9f8/pyqt6_sip-13.11.1-cp310-cp310-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7a1b08421967e68a821d3ea97fcdc8413671aec817a0dc46b844ab4bb2ebab66", size = 280567, upload-time = "2026-03-09T13:01:04.616Z" }, + { url = "https://files.pythonhosted.org/packages/ef/30/cded90fa556be3f6836c44bab5dd06b47664a20ffb47e7fdfa9538d7c5db/pyqt6_sip-13.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd8be768799be1a29857ea0125b1d365021a8a014c1d746f0df6b7ba0400edef", size = 304088, upload-time = "2026-03-09T13:01:02.89Z" }, + { url = "https://files.pythonhosted.org/packages/ee/bb/05665db5d674c557562ec47e5703823e37c4bc943f7b3466c730a0fdeb15/pyqt6_sip-13.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:7677fa1d0e3f933838e5dd8e03ebd6cd4dfc994c9e9b24e8aabd1b3ccecb2430", size = 54032, upload-time = "2026-03-09T13:01:06.316Z" }, + { url = "https://files.pythonhosted.org/packages/46/fa/049879f61888462099dcbab495ad16df770cca2432330cca0767ab8e87cb/pyqt6_sip-13.11.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c0ec2128c174db352bec1c8d23a437e970e8d5a78ac50315d8dfc671fcf7a7da", size = 111056, upload-time = "2026-03-09T13:01:07.998Z" }, + { url = "https://files.pythonhosted.org/packages/d5/0d/6ee861c53f3f7e6c5dd34a441d17aad1dfb3d50ce1f1a024cc9194ac3db3/pyqt6_sip-13.11.1-cp311-cp311-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:6aa6c15ad3a9bb86e69119baff77b4ac17c47e55ee567abff616a4652051a6cc", size = 289930, upload-time = "2026-03-09T13:01:11.122Z" }, + { url = "https://files.pythonhosted.org/packages/ca/39/c975733d7204a594e6ae51d3a810aad539d09718aa3ceeb0dd28cb3276bd/pyqt6_sip-13.11.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ee652b272373c4f9287625ef32ad4ec1f0755c24928dc958a870b7a928b288c", size = 315827, upload-time = "2026-03-09T13:01:09.48Z" }, + { url = "https://files.pythonhosted.org/packages/4a/d6/c40e8ae38a6e2bce9e837b64688f55746bfdad1aa557eb733fb5e90edd7c/pyqt6_sip-13.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:98db8ed37cf08130e1ee74b8ff47a6bfb8c3cdfe826310597a630a50e47feedc", size = 54029, upload-time = "2026-03-09T13:01:12.261Z" }, + { url = "https://files.pythonhosted.org/packages/fb/63/ec8c21ef9edffb55af42c637325d72eca4ea90a73ab714aaa1429c757e85/pyqt6_sip-13.11.1-cp311-cp311-win_arm64.whl", hash = "sha256:3af7a49dce4c35c5464309232c81cc1da5ec6074f46d2957831ee4031b8eefa6", size = 48458, upload-time = "2026-03-09T13:01:13.689Z" }, + { url = "https://files.pythonhosted.org/packages/46/27/47598e701d284497216bf97bf8b6a69f5e61412e716c232ff2b7e6cb2100/pyqt6_sip-13.11.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:ba9d362dd1e54b43bc2594f8841e1e39d24789716d28f08e5c9282af9fca342c", size = 112564, upload-time = "2026-03-09T13:01:14.628Z" }, + { url = "https://files.pythonhosted.org/packages/95/cb/116f9b328636765f3bce97d9e10ec041c54bbe92beb0617edb86c2b615c1/pyqt6_sip-13.11.1-cp312-cp312-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:0df15849946cea969d3ff2b24b76149262b6044aea2c5403e4f70c24c973a4c8", size = 299564, upload-time = "2026-03-09T13:01:17.292Z" }, + { url = "https://files.pythonhosted.org/packages/1b/be/fe2321285e8f683e705d199dbb458131f1850dc5966155a19c40100c85bb/pyqt6_sip-13.11.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c52b2b27fc77d9447a8dc1c6de1aaccc22d41e48697aafb2f2f20b8984bb02a5", size = 321210, upload-time = "2026-03-09T13:01:15.904Z" }, + { url = "https://files.pythonhosted.org/packages/ec/9b/7d4b10f9cba1b6f581dfb4860b9d11898da55a5ed3b8a6e7a1bf9f7084d0/pyqt6_sip-13.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:1d1c67179c1924b28e3d7f04585639e7a7c0946f62390efc6ccf2a6206e595d3", size = 53351, upload-time = "2026-03-09T13:01:19.327Z" }, + { url = "https://files.pythonhosted.org/packages/06/72/6c4e6f21cafa4bed40d2b0c1563525b0d8bfcb5734493696f4cfd043b45f/pyqt6_sip-13.11.1-cp312-cp312-win_arm64.whl", hash = "sha256:d83543125fe9fdb153e7e446c3b4d056d80ab5953644660633ab3f80e7784194", size = 48746, upload-time = "2026-03-09T13:01:20.248Z" }, + { url = "https://files.pythonhosted.org/packages/ee/0b/dc76c463c203e630b2c6417d4d5e337e919a265ac1c10127ef413551f5de/pyqt6_sip-13.11.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:0c6d097aae7df312519e2b36e001bd796f6a2ce060ab8b9ed793daa8f407fe2e", size = 112552, upload-time = "2026-03-09T13:01:21.493Z" }, + { url = "https://files.pythonhosted.org/packages/d4/e3/65b605759859d38231ce7544065d4c61f891eb7766c351318e2a0b08a473/pyqt6_sip-13.11.1-cp313-cp313-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:a72f4ebdab16a8a484019ff593de90d8013d3286b678c6ba1c0bdb117f4fcb13", size = 299932, upload-time = "2026-03-09T13:01:24.912Z" }, + { url = "https://files.pythonhosted.org/packages/60/f7/c10d2dd5bf503a1de83bd163467bd323f12af016866c2814743b5b1efe1c/pyqt6_sip-13.11.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b68e442efc4275651bf63f2c43713e242924fd948909e31cf8f20d783ca505e9", size = 321497, upload-time = "2026-03-09T13:01:22.724Z" }, + { url = "https://files.pythonhosted.org/packages/e1/1f/e7e5ad77a76c00db5c8c1b9960f2b0672ec1978b971bb3509858cd7a9458/pyqt6_sip-13.11.1-cp313-cp313-win_amd64.whl", hash = "sha256:ca24bfd4d5d8274e338433df9ac41930650088c00018d3313c6bd8de21772a02", size = 53371, upload-time = "2026-03-09T13:01:26.286Z" }, + { url = "https://files.pythonhosted.org/packages/36/ef/a7acaf44980aed6fe26f1320e265db528fecb6a47ac67829c7cd011e9821/pyqt6_sip-13.11.1-cp313-cp313-win_arm64.whl", hash = "sha256:f532144c43f2fddcccf2e25df50cdb4a744edb4ce4ba5ed2d0f2cef825197f2f", size = 48745, upload-time = "2026-03-09T13:01:27.212Z" }, + { url = "https://files.pythonhosted.org/packages/20/1d/62c633faedef5bb3b8c7486a72e8a6466adaa2a14efcfccf85bb23426748/pyqt6_sip-13.11.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:cb931c1af45294bbe8039c5cfda184e3023f5dc766fc884964010eedd8fd85db", size = 112678, upload-time = "2026-03-09T13:01:28.15Z" }, + { url = "https://files.pythonhosted.org/packages/03/72/5a3d9ffef0caa7e1bc7a35d6300f6099bfccd1d8a485b4320ba20013a2d9/pyqt6_sip-13.11.1-cp314-cp314-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:353d613129316e9f7eda6bbe821deb7b7ffa14483499189171fd8a246873f9ac", size = 299560, upload-time = "2026-03-09T13:01:32.134Z" }, + { url = "https://files.pythonhosted.org/packages/98/f4/886f901f1e04da717a11e180ba19a9c7fc62da170966d57206006f173bda/pyqt6_sip-13.11.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcadd68e09ee24cdda8f8bfcba52e59c9b297055d2c450f0eb89afa61a8dc31a", size = 321846, upload-time = "2026-03-09T13:01:29.817Z" }, + { url = "https://files.pythonhosted.org/packages/96/f2/b68fd566f7f86dbb53d933489e70487cabaea0e0161690e4899653bbc7fb/pyqt6_sip-13.11.1-cp314-cp314-win_amd64.whl", hash = "sha256:581e287bf42587593b88b30d9db06ed0fccbf40f345a5bd3ec3f00a5692e2430", size = 55055, upload-time = "2026-03-09T13:01:33.467Z" }, + { url = "https://files.pythonhosted.org/packages/8d/42/efb7ced69f7d1d31eb8f19b2d778aeb182be7e070569d02b9057ac478e3e/pyqt6_sip-13.11.1-cp314-cp314-win_arm64.whl", hash = "sha256:42b62530a9b6a9c6e29c2941b8ab78258652da0aeae4eb1fc9a0631d19a7a7b2", size = 49597, upload-time = "2026-03-09T13:01:34.49Z" }, +] + +[[package]] +name = "pytest" +version = "9.0.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'win32'" }, + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "iniconfig" }, + { name = "packaging" }, + { name = "pluggy" }, + { name = "pygments" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" }, +] + +[[package]] +name = "pytest-mock" +version = "3.15.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pytest" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/68/14/eb014d26be205d38ad5ad20d9a80f7d201472e08167f0bb4361e251084a9/pytest_mock-3.15.1.tar.gz", hash = "sha256:1849a238f6f396da19762269de72cb1814ab44416fa73a8686deac10b0d87a0f", size = 34036, upload-time = "2025-09-16T16:37:27.081Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5a/cc/06253936f4a7fa2e0f48dfe6d851d9c56df896a9ab09ac019d70b760619c/pytest_mock-3.15.1-py3-none-any.whl", hash = "sha256:0a25e2eb88fe5168d535041d09a4529a188176ae608a6d249ee65abc0949630d", size = 10095, upload-time = "2025-09-16T16:37:25.734Z" }, +] + +[[package]] +name = "pytest-watch" +version = "4.2.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama" }, + { name = "docopt" }, + { name = "pytest" }, + { name = "watchdog" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/36/47/ab65fc1d682befc318c439940f81a0de1026048479f732e84fe714cd69c0/pytest-watch-4.2.0.tar.gz", hash = "sha256:06136f03d5b361718b8d0d234042f7b2f203910d8568f63df2f866b547b3d4b9", size = 16340, upload-time = "2018-05-20T19:52:16.194Z" } + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" }, +] + +[[package]] +name = "python-json-logger" +version = "4.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/29/bf/eca6a3d43db1dae7070f70e160ab20b807627ba953663ba07928cdd3dc58/python_json_logger-4.0.0.tar.gz", hash = "sha256:f58e68eb46e1faed27e0f574a55a0455eecd7b8a5b88b85a784519ba3cff047f", size = 17683, upload-time = "2025-10-06T04:15:18.984Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/51/e5/fecf13f06e5e5f67e8837d777d1bc43fac0ed2b77a676804df5c34744727/python_json_logger-4.0.0-py3-none-any.whl", hash = "sha256:af09c9daf6a813aa4cc7180395f50f2a9e5fa056034c9953aec92e381c5ba1e2", size = 15548, upload-time = "2025-10-06T04:15:17.553Z" }, +] + +[[package]] +name = "python-multipart" +version = "0.0.22" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/94/01/979e98d542a70714b0cb2b6728ed0b7c46792b695e3eaec3e20711271ca3/python_multipart-0.0.22.tar.gz", hash = "sha256:7340bef99a7e0032613f56dc36027b959fd3b30a787ed62d310e951f7c3a3a58", size = 37612, upload-time = "2026-01-25T10:15:56.219Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1b/d0/397f9626e711ff749a95d96b7af99b9c566a9bb5129b8e4c10fc4d100304/python_multipart-0.0.22-py3-none-any.whl", hash = "sha256:2b2cd894c83d21bf49d702499531c7bafd057d730c201782048f7945d82de155", size = 24579, upload-time = "2026-01-25T10:15:54.811Z" }, +] + +[[package]] +name = "pytkdocs" +version = "0.16.5" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/19/fc/f991897d8f8ecdeb61c4835507c5b07bc6bb6a024558ffe78cc5bb59fb38/pytkdocs-0.16.5.tar.gz", hash = "sha256:103cdb3f0298c392bc340ae9aa7cd8685b163ae2aec65660dd0018978ddf4fa7", size = 84010, upload-time = "2025-03-09T17:32:42.398Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/29/b2be72ba559df54647e6ad2ff6cf1a94d488857ee67eeae28b252a6e734d/pytkdocs-0.16.5-py3-none-any.whl", hash = "sha256:7feb2535a8582d891fa5353cf2f4ecc7840915e631d322dbcbc1c8cc605da23a", size = 38823, upload-time = "2025-03-09T17:32:40.9Z" }, +] + +[[package]] +name = "pytokens" +version = "0.4.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b6/34/b4e015b99031667a7b960f888889c5bd34ef585c85e1cb56a594b92836ac/pytokens-0.4.1.tar.gz", hash = "sha256:292052fe80923aae2260c073f822ceba21f3872ced9a68bb7953b348e561179a", size = 23015, upload-time = "2026-01-30T01:03:45.924Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/42/24/f206113e05cb8ef51b3850e7ef88f20da6f4bf932190ceb48bd3da103e10/pytokens-0.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a44ed93ea23415c54f3face3b65ef2b844d96aeb3455b8a69b3df6beab6acc5", size = 161522, upload-time = "2026-01-30T01:02:50.393Z" }, + { url = "https://files.pythonhosted.org/packages/d4/e9/06a6bf1b90c2ed81a9c7d2544232fe5d2891d1cd480e8a1809ca354a8eb2/pytokens-0.4.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:add8bf86b71a5d9fb5b89f023a80b791e04fba57960aa790cc6125f7f1d39dfe", size = 246945, upload-time = "2026-01-30T01:02:52.399Z" }, + { url = "https://files.pythonhosted.org/packages/69/66/f6fb1007a4c3d8b682d5d65b7c1fb33257587a5f782647091e3408abe0b8/pytokens-0.4.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:670d286910b531c7b7e3c0b453fd8156f250adb140146d234a82219459b9640c", size = 259525, upload-time = "2026-01-30T01:02:53.737Z" }, + { url = "https://files.pythonhosted.org/packages/04/92/086f89b4d622a18418bac74ab5db7f68cf0c21cf7cc92de6c7b919d76c88/pytokens-0.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:4e691d7f5186bd2842c14813f79f8884bb03f5995f0575272009982c5ac6c0f7", size = 262693, upload-time = "2026-01-30T01:02:54.871Z" }, + { url = "https://files.pythonhosted.org/packages/b4/7b/8b31c347cf94a3f900bdde750b2e9131575a61fdb620d3d3c75832262137/pytokens-0.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:27b83ad28825978742beef057bfe406ad6ed524b2d28c252c5de7b4a6dd48fa2", size = 103567, upload-time = "2026-01-30T01:02:56.414Z" }, + { url = "https://files.pythonhosted.org/packages/3d/92/790ebe03f07b57e53b10884c329b9a1a308648fc083a6d4a39a10a28c8fc/pytokens-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d70e77c55ae8380c91c0c18dea05951482e263982911fc7410b1ffd1dadd3440", size = 160864, upload-time = "2026-01-30T01:02:57.882Z" }, + { url = "https://files.pythonhosted.org/packages/13/25/a4f555281d975bfdd1eba731450e2fe3a95870274da73fb12c40aeae7625/pytokens-0.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a58d057208cb9075c144950d789511220b07636dd2e4708d5645d24de666bdc", size = 248565, upload-time = "2026-01-30T01:02:59.912Z" }, + { url = "https://files.pythonhosted.org/packages/17/50/bc0394b4ad5b1601be22fa43652173d47e4c9efbf0044c62e9a59b747c56/pytokens-0.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b49750419d300e2b5a3813cf229d4e5a4c728dae470bcc89867a9ad6f25a722d", size = 260824, upload-time = "2026-01-30T01:03:01.471Z" }, + { url = "https://files.pythonhosted.org/packages/4e/54/3e04f9d92a4be4fc6c80016bc396b923d2a6933ae94b5f557c939c460ee0/pytokens-0.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d9907d61f15bf7261d7e775bd5d7ee4d2930e04424bab1972591918497623a16", size = 264075, upload-time = "2026-01-30T01:03:04.143Z" }, + { url = "https://files.pythonhosted.org/packages/d1/1b/44b0326cb5470a4375f37988aea5d61b5cc52407143303015ebee94abfd6/pytokens-0.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:ee44d0f85b803321710f9239f335aafe16553b39106384cef8e6de40cb4ef2f6", size = 103323, upload-time = "2026-01-30T01:03:05.412Z" }, + { url = "https://files.pythonhosted.org/packages/41/5d/e44573011401fb82e9d51e97f1290ceb377800fb4eed650b96f4753b499c/pytokens-0.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:140709331e846b728475786df8aeb27d24f48cbcf7bcd449f8de75cae7a45083", size = 160663, upload-time = "2026-01-30T01:03:06.473Z" }, + { url = "https://files.pythonhosted.org/packages/f0/e6/5bbc3019f8e6f21d09c41f8b8654536117e5e211a85d89212d59cbdab381/pytokens-0.4.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d6c4268598f762bc8e91f5dbf2ab2f61f7b95bdc07953b602db879b3c8c18e1", size = 255626, upload-time = "2026-01-30T01:03:08.177Z" }, + { url = "https://files.pythonhosted.org/packages/bf/3c/2d5297d82286f6f3d92770289fd439956b201c0a4fc7e72efb9b2293758e/pytokens-0.4.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:24afde1f53d95348b5a0eb19488661147285ca4dd7ed752bbc3e1c6242a304d1", size = 269779, upload-time = "2026-01-30T01:03:09.756Z" }, + { url = "https://files.pythonhosted.org/packages/20/01/7436e9ad693cebda0551203e0bf28f7669976c60ad07d6402098208476de/pytokens-0.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5ad948d085ed6c16413eb5fec6b3e02fa00dc29a2534f088d3302c47eb59adf9", size = 268076, upload-time = "2026-01-30T01:03:10.957Z" }, + { url = "https://files.pythonhosted.org/packages/2e/df/533c82a3c752ba13ae7ef238b7f8cdd272cf1475f03c63ac6cf3fcfb00b6/pytokens-0.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:3f901fe783e06e48e8cbdc82d631fca8f118333798193e026a50ce1b3757ea68", size = 103552, upload-time = "2026-01-30T01:03:12.066Z" }, + { url = "https://files.pythonhosted.org/packages/cb/dc/08b1a080372afda3cceb4f3c0a7ba2bde9d6a5241f1edb02a22a019ee147/pytokens-0.4.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8bdb9d0ce90cbf99c525e75a2fa415144fd570a1ba987380190e8b786bc6ef9b", size = 160720, upload-time = "2026-01-30T01:03:13.843Z" }, + { url = "https://files.pythonhosted.org/packages/64/0c/41ea22205da480837a700e395507e6a24425151dfb7ead73343d6e2d7ffe/pytokens-0.4.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5502408cab1cb18e128570f8d598981c68a50d0cbd7c61312a90507cd3a1276f", size = 254204, upload-time = "2026-01-30T01:03:14.886Z" }, + { url = "https://files.pythonhosted.org/packages/e0/d2/afe5c7f8607018beb99971489dbb846508f1b8f351fcefc225fcf4b2adc0/pytokens-0.4.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:29d1d8fb1030af4d231789959f21821ab6325e463f0503a61d204343c9b355d1", size = 268423, upload-time = "2026-01-30T01:03:15.936Z" }, + { url = "https://files.pythonhosted.org/packages/68/d4/00ffdbd370410c04e9591da9220a68dc1693ef7499173eb3e30d06e05ed1/pytokens-0.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:970b08dd6b86058b6dc07efe9e98414f5102974716232d10f32ff39701e841c4", size = 266859, upload-time = "2026-01-30T01:03:17.458Z" }, + { url = "https://files.pythonhosted.org/packages/a7/c9/c3161313b4ca0c601eeefabd3d3b576edaa9afdefd32da97210700e47652/pytokens-0.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:9bd7d7f544d362576be74f9d5901a22f317efc20046efe2034dced238cbbfe78", size = 103520, upload-time = "2026-01-30T01:03:18.652Z" }, + { url = "https://files.pythonhosted.org/packages/8f/a7/b470f672e6fc5fee0a01d9e75005a0e617e162381974213a945fcd274843/pytokens-0.4.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:4a14d5f5fc78ce85e426aa159489e2d5961acf0e47575e08f35584009178e321", size = 160821, upload-time = "2026-01-30T01:03:19.684Z" }, + { url = "https://files.pythonhosted.org/packages/80/98/e83a36fe8d170c911f864bfded690d2542bfcfacb9c649d11a9e6eb9dc41/pytokens-0.4.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:97f50fd18543be72da51dd505e2ed20d2228c74e0464e4262e4899797803d7fa", size = 254263, upload-time = "2026-01-30T01:03:20.834Z" }, + { url = "https://files.pythonhosted.org/packages/0f/95/70d7041273890f9f97a24234c00b746e8da86df462620194cef1d411ddeb/pytokens-0.4.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dc74c035f9bfca0255c1af77ddd2d6ae8419012805453e4b0e7513e17904545d", size = 268071, upload-time = "2026-01-30T01:03:21.888Z" }, + { url = "https://files.pythonhosted.org/packages/da/79/76e6d09ae19c99404656d7db9c35dfd20f2086f3eb6ecb496b5b31163bad/pytokens-0.4.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:f66a6bbe741bd431f6d741e617e0f39ec7257ca1f89089593479347cc4d13324", size = 271716, upload-time = "2026-01-30T01:03:23.633Z" }, + { url = "https://files.pythonhosted.org/packages/79/37/482e55fa1602e0a7ff012661d8c946bafdc05e480ea5a32f4f7e336d4aa9/pytokens-0.4.1-cp314-cp314-win_amd64.whl", hash = "sha256:b35d7e5ad269804f6697727702da3c517bb8a5228afa450ab0fa787732055fc9", size = 104539, upload-time = "2026-01-30T01:03:24.788Z" }, + { url = "https://files.pythonhosted.org/packages/30/e8/20e7db907c23f3d63b0be3b8a4fd1927f6da2395f5bcc7f72242bb963dfe/pytokens-0.4.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8fcb9ba3709ff77e77f1c7022ff11d13553f3c30299a9fe246a166903e9091eb", size = 168474, upload-time = "2026-01-30T01:03:26.428Z" }, + { url = "https://files.pythonhosted.org/packages/d6/81/88a95ee9fafdd8f5f3452107748fd04c24930d500b9aba9738f3ade642cc/pytokens-0.4.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:79fc6b8699564e1f9b521582c35435f1bd32dd06822322ec44afdeba666d8cb3", size = 290473, upload-time = "2026-01-30T01:03:27.415Z" }, + { url = "https://files.pythonhosted.org/packages/cf/35/3aa899645e29b6375b4aed9f8d21df219e7c958c4c186b465e42ee0a06bf/pytokens-0.4.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d31b97b3de0f61571a124a00ffe9a81fb9939146c122c11060725bd5aea79975", size = 303485, upload-time = "2026-01-30T01:03:28.558Z" }, + { url = "https://files.pythonhosted.org/packages/52/a0/07907b6ff512674d9b201859f7d212298c44933633c946703a20c25e9d81/pytokens-0.4.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:967cf6e3fd4adf7de8fc73cd3043754ae79c36475c1c11d514fc72cf5490094a", size = 306698, upload-time = "2026-01-30T01:03:29.653Z" }, + { url = "https://files.pythonhosted.org/packages/39/2a/cbbf9250020a4a8dd53ba83a46c097b69e5eb49dd14e708f496f548c6612/pytokens-0.4.1-cp314-cp314t-win_amd64.whl", hash = "sha256:584c80c24b078eec1e227079d56dc22ff755e0ba8654d8383b2c549107528918", size = 116287, upload-time = "2026-01-30T01:03:30.912Z" }, + { url = "https://files.pythonhosted.org/packages/c6/78/397db326746f0a342855b81216ae1f0a32965deccfd7c830a2dbc66d2483/pytokens-0.4.1-py3-none-any.whl", hash = "sha256:26cef14744a8385f35d0e095dc8b3a7583f6c953c2e3d269c7f82484bf5ad2de", size = 13729, upload-time = "2026-01-30T01:03:45.029Z" }, +] + +[[package]] +name = "pytz" +version = "2026.1.post1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/56/db/b8721d71d945e6a8ac63c0fc900b2067181dbb50805958d4d4661cf7d277/pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1", size = 321088, upload-time = "2026-03-03T07:47:50.683Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/10/99/781fe0c827be2742bcc775efefccb3b048a3a9c6ce9aec0cbf4a101677e5/pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a", size = 510489, upload-time = "2026-03-03T07:47:49.167Z" }, +] + +[[package]] +name = "pywavelets" +version = "1.8.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/48/45/bfaaab38545a33a9f06c61211fc3bea2e23e8a8e00fedeb8e57feda722ff/pywavelets-1.8.0.tar.gz", hash = "sha256:f3800245754840adc143cbc29534a1b8fc4b8cff6e9d403326bd52b7bb5c35aa", size = 3935274, upload-time = "2024-12-04T19:54:20.593Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/65/7e/c5e398f25c70558ca195dd4144ee004666401f6167084c1e76059d7e68d8/pywavelets-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f5c86fcb203c8e61d1f3d4afbfc08d626c64e4e3708207315577264c724632bf", size = 4323291, upload-time = "2024-12-04T19:53:01.836Z" }, + { url = "https://files.pythonhosted.org/packages/d0/d7/2fc8067c3520ce25f7632b0f47b89d1b75653cab804a42700e95126f2679/pywavelets-1.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fafb5fa126277e1690c3d6329287122fc08e4d25a262ce126e3d81b1f5709308", size = 4291864, upload-time = "2024-12-04T19:53:04.659Z" }, + { url = "https://files.pythonhosted.org/packages/2f/17/a868aa26e45c104613d9069f9d8ec0123687cb6945062d274f20a3992436/pywavelets-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec23dfe6d5a3f4312b12456b8c546aa90a11c1138e425a885987505f0658ae0", size = 4447532, upload-time = "2024-12-04T19:53:06.383Z" }, + { url = "https://files.pythonhosted.org/packages/53/7a/7f5889a57177e2b1182080fc2c52236d1e03a0fad5e0b3d7c5312070c0be/pywavelets-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:880a0197e9fa108939af50a95e97c1bf9b7d3e148e0fad92ea60a9ed8c8947c0", size = 4487695, upload-time = "2024-12-04T19:53:08.84Z" }, + { url = "https://files.pythonhosted.org/packages/f9/e6/04d76d93c158919ef0d8e1d40d1d453168305031eca6733fdc844f7cbb07/pywavelets-1.8.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bfa833d08b60d0bf53a7939fbbf3d98015dd34efe89cbe4e53ced880d085fc1", size = 4473752, upload-time = "2024-12-04T19:53:10.848Z" }, + { url = "https://files.pythonhosted.org/packages/3b/a7/42ea5bbb6055abd312e45b27d931200fd6eed5414a87ec5d62020a4c651b/pywavelets-1.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e10c3fc7f4a796e94da4bca9871be2186a7bb7a3b3536a0ca9376d84263140f0", size = 4504191, upload-time = "2024-12-04T19:53:13.912Z" }, + { url = "https://files.pythonhosted.org/packages/8c/7e/52df87a9e77adfb12c1b8be79a2053f2eb4c2507dec96ebfd2333b15ff03/pywavelets-1.8.0-cp310-cp310-win32.whl", hash = "sha256:31baf4be6940fde72cc85663154360857ac1b93c251822deaf72bb804da95031", size = 4143794, upload-time = "2024-12-04T19:53:16.296Z" }, + { url = "https://files.pythonhosted.org/packages/01/e2/06e08230c26049740b2773952fbb12cc7186e5df655a73b1c30ba493e864/pywavelets-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:560c39f1ff8cb37f8b8ea4b7b6eb8a14f6926c11f5cf8c09f013a58f895ed5bc", size = 4214262, upload-time = "2024-12-04T19:53:17.998Z" }, + { url = "https://files.pythonhosted.org/packages/6c/8a/9f8e794120b55caa1c4ae8d72696111bc408251615f351a8e54a5d8c4d4e/pywavelets-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e8dd5be4faed994581a8a4b3c0169be20567a9346e523f0b57f903c8f6722bce", size = 4324170, upload-time = "2024-12-04T19:53:19.66Z" }, + { url = "https://files.pythonhosted.org/packages/3e/b8/f6246be5c78e9fa73fcbba9ab4cbfe0d4dcb79ea5491f28d673a53466134/pywavelets-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8d8abaf7c120b151ef309c9ff57e0a44ba9febf49045056dbc1577526ecec6c8", size = 4294254, upload-time = "2024-12-04T19:53:21.767Z" }, + { url = "https://files.pythonhosted.org/packages/2c/dc/ba1f212e9b43117ed28e0fd092e72e817790427400f88937ea742d260153/pywavelets-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b43a4c58707b1e8d941bec7f1d83e67c482278575ff0db3189d5c0dfae23a57", size = 4447178, upload-time = "2024-12-04T19:53:23.525Z" }, + { url = "https://files.pythonhosted.org/packages/58/10/e59c162a11d2fedb4454abbf7b74a52390aba5edc9605bf829bfa8708dac/pywavelets-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1aad0b97714e3079a2bfe48e4fb8ccd60778d0427e9ee5e0a9ff922e6c61e4", size = 4486799, upload-time = "2024-12-04T19:53:25.238Z" }, + { url = "https://files.pythonhosted.org/packages/03/ee/90c3d0a0a3bda74e6e097e4c06bff9446ff2a4c90b8617aaf4902c46966b/pywavelets-1.8.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0e1db96dcf3ce08156859df8b359e9ff66fa15061a1b90e70e020bf4cd077a0", size = 4486403, upload-time = "2024-12-04T19:53:26.954Z" }, + { url = "https://files.pythonhosted.org/packages/05/54/58b87f8b636a9f044f3f9814d2ec696cf25f3b33af97c11811f13c364085/pywavelets-1.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e62c8fb52ab0e8ff212fff9acae681a8f12d68b76c36fe24cc48809d5b6825ba", size = 4515011, upload-time = "2024-12-04T19:53:28.832Z" }, + { url = "https://files.pythonhosted.org/packages/a1/d0/f755cee11ff20668114942d0e777e2b502a8e4665e1fdb2553b587aac637/pywavelets-1.8.0-cp311-cp311-win32.whl", hash = "sha256:bf327528d10de471b04bb725c4e10677fac5a49e13d41bf0d0b3a1f6d7097abf", size = 4139934, upload-time = "2024-12-04T19:53:31.421Z" }, + { url = "https://files.pythonhosted.org/packages/7b/0b/f4b92d4f00565280ea3e62a8e3dc81a667d67ed7bd59232f2f18d55f9aff/pywavelets-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:3814d354dd109e244ffaac3d480d29a5202212fe24570c920268237c8d276f95", size = 4214321, upload-time = "2024-12-04T19:53:33.183Z" }, + { url = "https://files.pythonhosted.org/packages/2d/8b/4870f11559307416470158a5aa6f61e5c2a910f1645a7a836ffae580b7ad/pywavelets-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3f431c9e2aff1a2240765eff5e804975d0fcc24c82d6f3d4271243f228e5963b", size = 4326187, upload-time = "2024-12-04T19:53:35.19Z" }, + { url = "https://files.pythonhosted.org/packages/c4/35/66835d889fd7fbf3119c7a9bd9d9bd567fc0bb603dfba408e9226db7cb44/pywavelets-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e39b0e2314e928cb850ee89b9042733a10ea044176a495a54dc84d2c98407a51", size = 4295428, upload-time = "2024-12-04T19:53:36.962Z" }, + { url = "https://files.pythonhosted.org/packages/63/1c/42e5130226538c70d4bbbaee00eb1bc06ec3287f7ea43d5fcf85bfc761ce/pywavelets-1.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cae701117f5c7244b7c8d48b9e92a0289637cdc02a9c205e8be83361f0c11fae", size = 4421259, upload-time = "2024-12-04T19:53:39.119Z" }, + { url = "https://files.pythonhosted.org/packages/6f/c5/1ce93657432e22a5debc21e8b52ec6980f819ecb7fa727bb86744224d967/pywavelets-1.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649936baee933e80083788e0adc4d8bc2da7cdd8b10464d3b113475be2cc5308", size = 4447650, upload-time = "2024-12-04T19:53:41.589Z" }, + { url = "https://files.pythonhosted.org/packages/b9/d6/b54ef30daca71824f811f9d2322a978b0a58d27674b8e3af6520f67e9ec6/pywavelets-1.8.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8c68e9d072c536bc646e8bdce443bb1826eeb9aa21b2cb2479a43954dea692a3", size = 4448538, upload-time = "2024-12-04T19:53:44.308Z" }, + { url = "https://files.pythonhosted.org/packages/ce/8c/1688b790e55674667ad644262f174405c2c9873cb13e773432e78b1b33e4/pywavelets-1.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:63f67fa2ee1610445de64f746fb9c1df31980ad13d896ea2331fc3755f49b3ae", size = 4485228, upload-time = "2024-12-04T19:53:46.778Z" }, + { url = "https://files.pythonhosted.org/packages/c9/9b/69de31c3b663dadd76d1da6bf8af68d8cefff55df8e880fe96a94bb8c9ac/pywavelets-1.8.0-cp312-cp312-win32.whl", hash = "sha256:4b3c2ab669c91e3474fd63294355487b7dd23f0b51d32f811327ddf3546f4f3d", size = 4134850, upload-time = "2024-12-04T19:53:49.101Z" }, + { url = "https://files.pythonhosted.org/packages/1c/88/9e2aa9d5fde08bfc0fb18ffb1b5307c1ed49c24930b4147e5f48571a7251/pywavelets-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:810a23a631da596fef7196ddec49b345b1aab13525bb58547eeebe1769edbbc1", size = 4210786, upload-time = "2024-12-04T19:53:51.546Z" }, + { url = "https://files.pythonhosted.org/packages/94/73/7ff347d77c6bda11330565050c3346c54bc210086380abeb84e402c1c9cd/pywavelets-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:441ba45c8dff8c6916dbe706958d0d7f91da675695ca0c0d75e483f6f52d0a12", size = 4321474, upload-time = "2024-12-04T19:53:53.369Z" }, + { url = "https://files.pythonhosted.org/packages/b0/70/c58937ebbca1aba3475ca5ee63c7bcebf09f3c93891ae5942eaec7e95707/pywavelets-1.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:24bb282bab09349d9d128ed0536fa50fff5c2147891971a69c2c36155dfeeeac", size = 4291502, upload-time = "2024-12-04T19:53:55.396Z" }, + { url = "https://files.pythonhosted.org/packages/da/55/87b4ad6128b2e85985908e958e856e0b680cdcc03cc490e2cc995164b13a/pywavelets-1.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:426ff3799446cb4da1db04c2084e6e58edfe24225596805665fd39c14f53dece", size = 4412669, upload-time = "2024-12-04T19:53:57.393Z" }, + { url = "https://files.pythonhosted.org/packages/bf/1a/bfca9eab23bd7b27843b0ce95c47796033a7b2c93048315f5fc5d6ac6428/pywavelets-1.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa0607a9c085b8285bc0d04e33d461a6c80f8c325389221ffb1a45141861138e", size = 4454604, upload-time = "2024-12-04T19:53:59.105Z" }, + { url = "https://files.pythonhosted.org/packages/c3/23/9ce38829f57159e812c469c4f9d7b5a16c1ba922c1802985e8c504468206/pywavelets-1.8.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d31c36a39110e8fcc7b1a4a11cfed7d22b610c285d3e7f4fe73ec777aa49fa39", size = 4445507, upload-time = "2024-12-04T19:54:00.78Z" }, + { url = "https://files.pythonhosted.org/packages/e5/d2/e78a976b0600a6ef7a70f4430122d6ad11b3e1cbda3c8b3565661d094678/pywavelets-1.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa7c68ed1e5bab23b1bafe60ccbcf709b878652d03de59e961baefa5210fcd0a", size = 4479078, upload-time = "2024-12-04T19:54:02.46Z" }, + { url = "https://files.pythonhosted.org/packages/85/4d/1c4f870010368f3aeb0bdd72929376a1988e4a122e76545bd8c56e549c96/pywavelets-1.8.0-cp313-cp313-win32.whl", hash = "sha256:2c6b359b55d713ef683e9da1529181b865a80d759881ceb9adc1c5742e4da4d8", size = 4133763, upload-time = "2024-12-04T19:54:04.016Z" }, + { url = "https://files.pythonhosted.org/packages/c9/4f/0a709a5732e6cf9297fc87bf545cb879997cde204115f8c0cbc296c5bdd3/pywavelets-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:4dbebcfd55ea8a85b7fc8802d411e75337170422abf6e96019d7e46c394e80e5", size = 4209548, upload-time = "2024-12-04T19:54:06.61Z" }, + { url = "https://files.pythonhosted.org/packages/de/2a/4cac0bba67d3bc0ad697d0680539864db0a6964c7ad953d8d9d887f360b3/pywavelets-1.8.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:2e1c79784bebeafd3715c1bea6621daa2e2e6ed37b687719322e2078fb35bb70", size = 4335183, upload-time = "2024-12-04T19:54:08.349Z" }, + { url = "https://files.pythonhosted.org/packages/58/d1/3abe4cf34a35b09ad847f0e9a85f340c1988611222926d295fa8710659e7/pywavelets-1.8.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f489380c95013cc8fb3ef338f6d8c1a907125db453cc4dc739e2cca06fcd8b6", size = 4454723, upload-time = "2024-12-04T19:54:11.007Z" }, + { url = "https://files.pythonhosted.org/packages/d5/62/f05dd191232ae94e0b48509bb0ee65c9d45abf5e8f3612b09fd309b41384/pywavelets-1.8.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:06786201a91b5e74540f4f3c115c49a29190de2eb424823abbd3a1fd75ea3e28", size = 4472192, upload-time = "2024-12-04T19:54:12.754Z" }, + { url = "https://files.pythonhosted.org/packages/20/6a/257c95ad1e0fd395cbccd4ffec0d01cc9b51a3bb91e67d8fa10ffebc9c72/pywavelets-1.8.0-cp313-cp313t-win32.whl", hash = "sha256:f2877fb7b58c94211257dcf364b204d6ed259146fc87d5a90bf9d93c97af6226", size = 4183968, upload-time = "2024-12-04T19:54:15.099Z" }, + { url = "https://files.pythonhosted.org/packages/6c/58/7179fd6f87153f2e339171e8cfe9bf901398a89045eefd7a3911bb9b47ad/pywavelets-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ec5d723c3335ff8aa630fd4b14097077f12cc02893c91cafd60dd7b1730e780f", size = 4265431, upload-time = "2024-12-04T19:54:16.928Z" }, +] + +[[package]] +name = "pywavelets" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/5a/75/50581633d199812205ea8cdd0f6d52f12a624886b74bf1486335b67f01ff/pywavelets-1.9.0.tar.gz", hash = "sha256:148d12203377772bea452a59211d98649c8ee4a05eff019a9021853a36babdc8", size = 3938340, upload-time = "2025-08-04T16:20:04.978Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/bd/8b/ca700d0c174c3a4eec1fbb603f04374d1fed84255c2a9f487cfaa749c865/pywavelets-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:54662cce4d56f0d6beaa6ebd34b2960f3aa4a43c83c9098a24729e9dc20a4be2", size = 4323640, upload-time = "2025-08-04T16:18:51.683Z" }, + { url = "https://files.pythonhosted.org/packages/b5/f3/0fa57b6407ea9c4452b0bc182141256b9481b479ffbfc9d7fdb73afe193b/pywavelets-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0d8ed4b4d1eab9347e8fe0c5b45008ce5a67225ce5b05766b8b1fa923a5f8b34", size = 4294938, upload-time = "2025-08-04T16:18:53.818Z" }, + { url = "https://files.pythonhosted.org/packages/ea/95/a998313c8459a57e488ff2b18e24be9e836aedda3aa3a1673197deeaa59a/pywavelets-1.9.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:862be65481fdfecfd84c6b0ca132ba571c12697a082068921bca5b5e039f1371", size = 4472829, upload-time = "2025-08-04T16:18:55.508Z" }, + { url = "https://files.pythonhosted.org/packages/d8/8c/f316a153f7f89d2753df8a7371d15d0faab87e709fe02715dbc297c79385/pywavelets-1.9.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d76b7fa8fc500b09201d689b4f15bf5887e30ffbe2e1f338eb8470590eb4521a", size = 4524936, upload-time = "2025-08-04T16:18:57.146Z" }, + { url = "https://files.pythonhosted.org/packages/24/f7/89fdc1caef4b384a341a8e149253e23f36c1702bbb986a26123348624854/pywavelets-1.9.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa859d0b686a697c87a47e29319aebe44125f114a4f8c7e444832b921f52de5a", size = 4481475, upload-time = "2025-08-04T16:18:58.725Z" }, + { url = "https://files.pythonhosted.org/packages/82/53/b733fbfb71853e4a5c430da56e325a763562d65241dd785f0fadb67aed6a/pywavelets-1.9.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20e97b84a263003e2c7348bcf72beba96edda1a6169f072dc4e4d4ee3a6c7368", size = 4527994, upload-time = "2025-08-04T16:18:59.917Z" }, + { url = "https://files.pythonhosted.org/packages/ed/15/5f6a6e9fdad8341e42642ed622a5f3033da4ea9d426cc3e574ae418b4726/pywavelets-1.9.0-cp311-cp311-win32.whl", hash = "sha256:f8330cdbfa506000e63e79525716df888998a76414c5cd6ecd9a7e371191fb05", size = 4136109, upload-time = "2025-08-04T16:19:01.511Z" }, + { url = "https://files.pythonhosted.org/packages/fd/33/62dbb4aea86ec9d79b283127c42cc896f4d4ff265a9aeb1337a7836dd550/pywavelets-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:ed10959a17df294ef55948dcc76367d59ec7b6aad67e38dd4e313d2fe3ad47b2", size = 4228321, upload-time = "2025-08-04T16:19:03.164Z" }, + { url = "https://files.pythonhosted.org/packages/5c/37/3fda13fb2518fdd306528382d6b18c116ceafefff0a7dccd28f1034f4dd2/pywavelets-1.9.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:30baa0788317d3c938560c83fe4fc43817342d06e6c9662a440f73ba3fb25c9b", size = 4320835, upload-time = "2025-08-04T16:19:04.855Z" }, + { url = "https://files.pythonhosted.org/packages/36/65/a5549325daafc3eae4b52de076798839eaf529a07218f8fb18cccefe76a1/pywavelets-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:df7436a728339696a7aa955c020ae65c85b0d9d2b5ff5b4cf4551f5d4c50f2c7", size = 4290469, upload-time = "2025-08-04T16:19:06.178Z" }, + { url = "https://files.pythonhosted.org/packages/05/85/901bb756d37dfa56baa26ef4a3577aecfe9c55f50f51366fede322f8c91d/pywavelets-1.9.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:07b26526db2476974581274c43a9c2447c917418c6bd03c8d305ad2a5cd9fac3", size = 4437717, upload-time = "2025-08-04T16:19:07.514Z" }, + { url = "https://files.pythonhosted.org/packages/0f/34/0f54dd9c288941294898877008bcb5c07012340cc9c5db9cff1bd185d449/pywavelets-1.9.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:573b650805d2f3c981a0e5ae95191c781a722022c37a0f6eba3fa7eae8e0ee17", size = 4483843, upload-time = "2025-08-04T16:19:08.857Z" }, + { url = "https://files.pythonhosted.org/packages/48/1f/cff6bb4ea64ff508d8cac3fe113c0aa95310a7446d9efa6829027cc2afdf/pywavelets-1.9.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3747ec804492436de6e99a7b6130480e53406d047e87dc7095ab40078a515a23", size = 4442236, upload-time = "2025-08-04T16:19:11.061Z" }, + { url = "https://files.pythonhosted.org/packages/ce/53/a3846eeefe0fb7ca63ae045f038457aa274989a15af793c1b824138caf98/pywavelets-1.9.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:5163665686219c3f43fd5bbfef2391e87146813961dad0f86c62d4aed561f547", size = 4488077, upload-time = "2025-08-04T16:19:12.333Z" }, + { url = "https://files.pythonhosted.org/packages/f7/98/44852d2fe94455b72dece2db23562145179d63186a1c971125279a1c381f/pywavelets-1.9.0-cp312-cp312-win32.whl", hash = "sha256:80b8ab99f5326a3e724f71f23ba8b0a5b03e333fa79f66e965ea7bed21d42a2f", size = 4134094, upload-time = "2025-08-04T16:19:13.564Z" }, + { url = "https://files.pythonhosted.org/packages/2c/a7/0d9ee3fe454d606e0f5c8e3aebf99d2ecddbfb681826a29397729538c8f1/pywavelets-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:92bfb8a117b8c8d3b72f2757a85395346fcbf37f50598880879ae72bd8e1c4b9", size = 4213900, upload-time = "2025-08-04T16:19:14.939Z" }, + { url = "https://files.pythonhosted.org/packages/db/a7/dec4e450675d62946ad975f5b4d924437df42d2fae46e91dfddda2de0f5a/pywavelets-1.9.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:74f8455c143818e4b026fc67b27fd82f38e522701b94b8a6d1aaf3a45fcc1a25", size = 4316201, upload-time = "2025-08-04T16:19:16.259Z" }, + { url = "https://files.pythonhosted.org/packages/aa/0c/b54b86596c0df68027e48c09210e907e628435003e77048384a2dd6767e3/pywavelets-1.9.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c50320fe0a4a23ddd8835b3dc9b53b09ee05c7cc6c56b81d0916f04fc1649070", size = 4286838, upload-time = "2025-08-04T16:19:17.92Z" }, + { url = "https://files.pythonhosted.org/packages/5a/9c/333969c3baad8af2e7999e83addcb7bb1d1fd48e2d812fb27e2e89582cb1/pywavelets-1.9.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6e059265223ed659e5214ab52a84883c88ddf3decbf08d7ec6abb8e4c5ed7be", size = 4430753, upload-time = "2025-08-04T16:19:19.529Z" }, + { url = "https://files.pythonhosted.org/packages/e5/1b/a24c6ff03b026b826ad7b9267bd63cd34ce026795a0302f8a5403840b8e7/pywavelets-1.9.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ae10ed46c139c7ddb8b1249cfe0989f8ccb610d93f2899507b1b1573a0e424b5", size = 4491315, upload-time = "2025-08-04T16:19:20.717Z" }, + { url = "https://files.pythonhosted.org/packages/d7/c7/e3fbb502fca3469e51ced4f1e1326364c338be91edc5db5a8ddd26b303fa/pywavelets-1.9.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c8f8b1cc2df012401cb837ee6fa2f59607c7b4fe0ff409d9a4f6906daf40dc86", size = 4437654, upload-time = "2025-08-04T16:19:22.359Z" }, + { url = "https://files.pythonhosted.org/packages/92/44/c9b25084048d9324881a19b88e0969a4141bcfdc1d218f1b4b680b7af1c1/pywavelets-1.9.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:db43969c7a8fbb17693ecfd14f21616edc3b29f0e47a49b32fa4127c01312a67", size = 4496435, upload-time = "2025-08-04T16:19:23.842Z" }, + { url = "https://files.pythonhosted.org/packages/cd/b6/b27ec18c72b1dee3314e297af39c5f8136d43cc130dd93cb6c178ca820e5/pywavelets-1.9.0-cp313-cp313-win32.whl", hash = "sha256:9e7d60819d87dcd6c68a2d1bc1d37deb1f4d96607799ab6a25633ea484dcda41", size = 4132709, upload-time = "2025-08-04T16:19:25.415Z" }, + { url = "https://files.pythonhosted.org/packages/0a/87/78ef3f9fb36cdb16ee82371d22c3a7c89eeb79ec8c9daef6222060da6c79/pywavelets-1.9.0-cp313-cp313-win_amd64.whl", hash = "sha256:0d70da9d7858c869e24dc254f16a61dc09d8a224cad85a10c393b2eccddeb126", size = 4213377, upload-time = "2025-08-04T16:19:26.875Z" }, + { url = "https://files.pythonhosted.org/packages/8b/cd/ca0d9db0ff29e3843f6af60c2f5eb588794e05ca8eeb872a595867b1f3f5/pywavelets-1.9.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4dc85f44c38d76a184a1aa2cb038f802c3740428c9bb877525f4be83a223b134", size = 4354336, upload-time = "2025-08-04T16:19:28.745Z" }, + { url = "https://files.pythonhosted.org/packages/82/d6/70afefcc1139f37d02018a3b1dba3b8fc87601bb7707d9616b7f7a76e269/pywavelets-1.9.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7acf6f950c6deaecd210fbff44421f234a8ca81eb6f4da945228e498361afa9d", size = 4335721, upload-time = "2025-08-04T16:19:30.371Z" }, + { url = "https://files.pythonhosted.org/packages/cd/3a/713f731b9ed6df0c36269c8fb62be8bb28eb343b9e26b13d6abda37bce38/pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:144d4fc15c98da56654d0dca2d391b812b8d04127b194a37ad4a497f8e887141", size = 4418702, upload-time = "2025-08-04T16:19:31.743Z" }, + { url = "https://files.pythonhosted.org/packages/44/e8/f801eb4b5f7a316ba20054948c5d6b27b879c77fab2674942e779974bd86/pywavelets-1.9.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1aa3729585408a979d655736f74b995b511c86b9be1544f95d4a3142f8f4b8b5", size = 4470023, upload-time = "2025-08-04T16:19:32.963Z" }, + { url = "https://files.pythonhosted.org/packages/e9/cc/44b002cb16f2a392f2082308dd470b3f033fa4925d3efa7c46f790ce895a/pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e0e24ad6b8eb399c49606dd1fcdcbf9749ad7f6d638be3fe6f59c1f3098821e2", size = 4426498, upload-time = "2025-08-04T16:19:34.151Z" }, + { url = "https://files.pythonhosted.org/packages/91/fe/2b70276ede7878c5fe8356ca07574db5da63e222ce39a463e84bfad135e8/pywavelets-1.9.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3830e6657236b53a3aae20c735cccead942bb97c54bbca9e7d07bae01645fe9c", size = 4477528, upload-time = "2025-08-04T16:19:35.932Z" }, + { url = "https://files.pythonhosted.org/packages/e7/ed/d58b540c15e36508cfeded7b0d39493e811b0dce18d9d4e6787fb2e89685/pywavelets-1.9.0-cp313-cp313t-win32.whl", hash = "sha256:81bb65facfbd7b50dec50450516e72cdc51376ecfdd46f2e945bb89d39bfb783", size = 4186493, upload-time = "2025-08-04T16:19:37.198Z" }, + { url = "https://files.pythonhosted.org/packages/84/b2/12a849650d618a86bbe4d8876c7e20a7afe59a8cad6f49c57eca9af26dfa/pywavelets-1.9.0-cp313-cp313t-win_amd64.whl", hash = "sha256:47d52cf35e2afded8cfe1133663f6f67106a3220b77645476ae660ad34922cb4", size = 4274821, upload-time = "2025-08-04T16:19:38.436Z" }, + { url = "https://files.pythonhosted.org/packages/ba/1f/18c82122547c9eec2232d800b02ada1fbd30ce2136137b5738acca9d653e/pywavelets-1.9.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:53043d2f3f4e55a576f51ac594fe33181e1d096d958e01524db5070eb3825306", size = 4314440, upload-time = "2025-08-04T16:19:39.701Z" }, + { url = "https://files.pythonhosted.org/packages/eb/e1/1c92ac6b538ef5388caf1a74af61cf6af16ea6d14115bb53357469cb38d6/pywavelets-1.9.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:56bc36b42b1b125fd9cb56e7956b22f8d0f83c1093f49c77fc042135e588c799", size = 4290162, upload-time = "2025-08-04T16:19:41.322Z" }, + { url = "https://files.pythonhosted.org/packages/96/d3/d856a2cac8069c20144598fa30a43ca40b5df2e633230848a9a942faf04a/pywavelets-1.9.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08076eb9a182ddc6054ac86868fb71df6267c341635036dc63d20bdbacd9ad7e", size = 4437162, upload-time = "2025-08-04T16:19:42.556Z" }, + { url = "https://files.pythonhosted.org/packages/c9/54/777e0495acd4fb008791e84889be33d6e7fc8af095b441d939390b7d2491/pywavelets-1.9.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4ee1ee7d80f88c64b8ec3b5021dd1e94545cc97f0cd479fb51aa7b10f6def08e", size = 4498169, upload-time = "2025-08-04T16:19:43.791Z" }, + { url = "https://files.pythonhosted.org/packages/76/68/81b97f4d18491a18fbe17e06e2eee80a591ce445942f7b6f522de07813c5/pywavelets-1.9.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:3226b6f62838a6ccd7782cb7449ee5d8b9d61999506c1d9b03b2baf41b01b6fd", size = 4443318, upload-time = "2025-08-04T16:19:45.368Z" }, + { url = "https://files.pythonhosted.org/packages/92/74/5147f2f0436f7aa131cb1bc13dba32ef5f3862748ae1c7366b4cde380362/pywavelets-1.9.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:9fb7f4b11d18e2db6dd8deee7b3ce8343d45f195f3f278c2af6e3724b1b93a24", size = 4503294, upload-time = "2025-08-04T16:19:46.632Z" }, + { url = "https://files.pythonhosted.org/packages/3d/d4/af998cc71e869919e0ab45471bd43e91d055ac7bc3ce6f56cc792c9b6bc8/pywavelets-1.9.0-cp314-cp314-win32.whl", hash = "sha256:9902d9fc9812588ab2dce359a1307d8e7f002b53a835640e2c9388fe62a82fd4", size = 4144478, upload-time = "2025-08-04T16:19:47.974Z" }, + { url = "https://files.pythonhosted.org/packages/7d/66/1d071eae5cc3e3ad0e45334462f8ce526a79767ccb759eb851aa5b78a73a/pywavelets-1.9.0-cp314-cp314-win_amd64.whl", hash = "sha256:7e57792bde40e331d6cc65458e5970fd814dba18cfc4e9add9d051e901a7b7c7", size = 4227186, upload-time = "2025-08-04T16:19:49.57Z" }, + { url = "https://files.pythonhosted.org/packages/bf/1f/da0c03ac99bd9d20409c0acf6417806d4cf333d70621da9f535dd0cf27fa/pywavelets-1.9.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:b47c72fb4b76d665c4c598a5b621b505944e5b761bf03df9d169029aafcb652f", size = 4354391, upload-time = "2025-08-04T16:19:51.221Z" }, + { url = "https://files.pythonhosted.org/packages/95/b6/de9e225d8cc307fbb4fda88aefa79442775d5e27c58ee4d3c8a8580ceba6/pywavelets-1.9.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:969e369899e7eab546ea5d77074e4125082e6f9dad71966499bf5dee3758be55", size = 4335810, upload-time = "2025-08-04T16:19:52.813Z" }, + { url = "https://files.pythonhosted.org/packages/33/3b/336761359d07cd44a4233ca854704ff2a9e78d285879ccc82d254b9daa57/pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8aeffd4f35036c1fade972a61454de5709a7a8fc9a7d177eefe3ac34d76962e5", size = 4422220, upload-time = "2025-08-04T16:19:54.068Z" }, + { url = "https://files.pythonhosted.org/packages/98/61/76ccc7ada127f14f65eda40e37407b344fd3713acfca7a94d7f0f67fe57d/pywavelets-1.9.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f63f400fcd4e7007529bd06a5886009760da35cd7e76bb6adb5a5fbee4ffeb8c", size = 4470156, upload-time = "2025-08-04T16:19:55.379Z" }, + { url = "https://files.pythonhosted.org/packages/e0/de/142ca27ee729cf64113c2560748fcf2bd45b899ff282d6f6f3c0e7f177bb/pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a63bcb6b5759a7eb187aeb5e8cd316b7adab7de1f4b5a0446c9a6bcebdfc22fb", size = 4430167, upload-time = "2025-08-04T16:19:56.566Z" }, + { url = "https://files.pythonhosted.org/packages/ca/5e/90b39adff710d698c00ba9c3125e2bec99dad7c5f1a3ba37c73a78a6689f/pywavelets-1.9.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:9950eb7c8b942e9bfa53d87c7e45a420dcddbd835c4c5f1aca045a3f775c6113", size = 4477378, upload-time = "2025-08-04T16:19:58.162Z" }, + { url = "https://files.pythonhosted.org/packages/f1/1a/89f5f4ebcb9d34d9b7b2ac0a868c8b6d8c78d699a36f54407a060cea0566/pywavelets-1.9.0-cp314-cp314t-win32.whl", hash = "sha256:097f157e07858a1eb370e0d9c1bd11185acdece5cca10756d6c3c7b35b52771a", size = 4209132, upload-time = "2025-08-04T16:20:00.371Z" }, + { url = "https://files.pythonhosted.org/packages/68/d2/a8065103f5e2e613b916489e6c85af6402a1ec64f346d1429e2d32cb8d03/pywavelets-1.9.0-cp314-cp314t-win_amd64.whl", hash = "sha256:3b6ff6ba4f625d8c955f68c2c39b0a913776d406ab31ee4057f34ad4019fb33b", size = 4306793, upload-time = "2025-08-04T16:20:02.934Z" }, +] + +[[package]] +name = "pywinpty" +version = "3.0.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f7/54/37c7370ba91f579235049dc26cd2c5e657d2a943e01820844ffc81f32176/pywinpty-3.0.3.tar.gz", hash = "sha256:523441dc34d231fb361b4b00f8c99d3f16de02f5005fd544a0183112bcc22412", size = 31309, upload-time = "2026-02-04T21:51:09.524Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/62/28/a652709bd76ca7533cd1c443b03add9f5051fdf71bc6bdb8801dddd4e7a3/pywinpty-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:ff05f12d775b142b11c6fe085129bdd759b61cf7d41da6c745e78e3a1ef5bf40", size = 2114320, upload-time = "2026-02-04T21:53:50.972Z" }, + { url = "https://files.pythonhosted.org/packages/b2/13/a0181cc5c2d5635d3dbc3802b97bc8e3ad4fa7502ccef576651a5e08e54c/pywinpty-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:340ccacb4d74278a631923794ccd758471cfc8eeeeee4610b280420a17ad1e82", size = 235670, upload-time = "2026-02-04T21:50:20.324Z" }, + { url = "https://files.pythonhosted.org/packages/79/c3/3e75075c7f71735f22b66fab0481f2c98e3a4d58cba55cb50ba29114bcf6/pywinpty-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:dff25a9a6435f527d7c65608a7e62783fc12076e7d44487a4911ee91be5a8ac8", size = 2114430, upload-time = "2026-02-04T21:54:19.485Z" }, + { url = "https://files.pythonhosted.org/packages/8d/1e/8a54166a8c5e4f5cb516514bdf4090be4d51a71e8d9f6d98c0aa00fe45d4/pywinpty-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:fbc1e230e5b193eef4431cba3f39996a288f9958f9c9f092c8a961d930ee8f68", size = 236191, upload-time = "2026-02-04T21:50:36.239Z" }, + { url = "https://files.pythonhosted.org/packages/7c/d4/aeb5e1784d2c5bff6e189138a9ca91a090117459cea0c30378e1f2db3d54/pywinpty-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:c9081df0e49ffa86d15db4a6ba61530630e48707f987df42c9d3313537e81fc0", size = 2113098, upload-time = "2026-02-04T21:54:37.711Z" }, + { url = "https://files.pythonhosted.org/packages/b9/53/7278223c493ccfe4883239cf06c823c56460a8010e0fc778eef67858dc14/pywinpty-3.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:15e79d870e18b678fb8a5a6105fd38496b55697c66e6fc0378236026bc4d59e9", size = 234901, upload-time = "2026-02-04T21:53:31.35Z" }, + { url = "https://files.pythonhosted.org/packages/e5/cb/58d6ed3fd429c96a90ef01ac9a617af10a6d41469219c25e7dc162abbb71/pywinpty-3.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:9c91dbb026050c77bdcef964e63a4f10f01a639113c4d3658332614544c467ab", size = 2112686, upload-time = "2026-02-04T21:52:03.035Z" }, + { url = "https://files.pythonhosted.org/packages/fd/50/724ed5c38c504d4e58a88a072776a1e880d970789deaeb2b9f7bd9a5141a/pywinpty-3.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:fe1f7911805127c94cf51f89ab14096c6f91ffdcacf993d2da6082b2142a2523", size = 234591, upload-time = "2026-02-04T21:52:29.821Z" }, + { url = "https://files.pythonhosted.org/packages/f7/ad/90a110538696b12b39fd8758a06d70ded899308198ad2305ac68e361126e/pywinpty-3.0.3-cp313-cp313t-win_amd64.whl", hash = "sha256:3f07a6cf1c1d470d284e614733c3d0f726d2c85e78508ea10a403140c3c0c18a", size = 2112360, upload-time = "2026-02-04T21:55:33.397Z" }, + { url = "https://files.pythonhosted.org/packages/44/0f/7ffa221757a220402bc79fda44044c3f2cc57338d878ab7d622add6f4581/pywinpty-3.0.3-cp313-cp313t-win_arm64.whl", hash = "sha256:15c7c0b6f8e9d87aabbaff76468dabf6e6121332c40fc1d83548d02a9d6a3759", size = 233107, upload-time = "2026-02-04T21:51:45.455Z" }, + { url = "https://files.pythonhosted.org/packages/28/88/2ff917caff61e55f38bcdb27de06ee30597881b2cae44fbba7627be015c4/pywinpty-3.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:d4b6b7b0fe0cdcd02e956bd57cfe9f4e5a06514eecf3b5ae174da4f951b58be9", size = 2113282, upload-time = "2026-02-04T21:52:08.188Z" }, + { url = "https://files.pythonhosted.org/packages/63/32/40a775343ace542cc43ece3f1d1fce454021521ecac41c4c4573081c2336/pywinpty-3.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:34789d685fc0d547ce0c8a65e5a70e56f77d732fa6e03c8f74fefb8cbb252019", size = 234207, upload-time = "2026-02-04T21:51:58.687Z" }, + { url = "https://files.pythonhosted.org/packages/8d/54/5d5e52f4cb75028104ca6faf36c10f9692389b1986d34471663b4ebebd6d/pywinpty-3.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:0c37e224a47a971d1a6e08649a1714dac4f63c11920780977829ed5c8cadead1", size = 2112910, upload-time = "2026-02-04T21:52:30.976Z" }, + { url = "https://files.pythonhosted.org/packages/0a/44/dcd184824e21d4620b06c7db9fbb15c3ad0a0f1fa2e6de79969fb82647ec/pywinpty-3.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:c4e9c3dff7d86ba81937438d5819f19f385a39d8f592d4e8af67148ceb4f6ab5", size = 233425, upload-time = "2026-02-04T21:51:56.754Z" }, +] + +[[package]] +name = "pyxdf" +version = "1.17.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f3/1e/60ad39e13262040b693475619c55efcb8d5e52129f2bb52c911e434da829/pyxdf-1.17.3.tar.gz", hash = "sha256:8294353f2989885177277e4a02e260dc9430a60b53b463bad8cdc179fb2c47ce", size = 34372, upload-time = "2026-01-20T14:34:45.21Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1f/b1/da571fa66bc52bac76702cdadfd734aad9ac4f7313da1430c3fb5203eb2f/pyxdf-1.17.3-py3-none-any.whl", hash = "sha256:c7c01d65e5b9144d544f886debc56b46f7807a014192b9f49bcbdb75b3f19a47", size = 21191, upload-time = "2026-01-20T14:34:45.957Z" }, +] + +[[package]] +name = "pyyaml" +version = "6.0.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/a0/39350dd17dd6d6c6507025c0e53aef67a9293a6d37d3511f23ea510d5800/pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b", size = 184227, upload-time = "2025-09-25T21:31:46.04Z" }, + { url = "https://files.pythonhosted.org/packages/05/14/52d505b5c59ce73244f59c7a50ecf47093ce4765f116cdb98286a71eeca2/pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956", size = 174019, upload-time = "2025-09-25T21:31:47.706Z" }, + { url = "https://files.pythonhosted.org/packages/43/f7/0e6a5ae5599c838c696adb4e6330a59f463265bfa1e116cfd1fbb0abaaae/pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8", size = 740646, upload-time = "2025-09-25T21:31:49.21Z" }, + { url = "https://files.pythonhosted.org/packages/2f/3a/61b9db1d28f00f8fd0ae760459a5c4bf1b941baf714e207b6eb0657d2578/pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198", size = 840793, upload-time = "2025-09-25T21:31:50.735Z" }, + { url = "https://files.pythonhosted.org/packages/7a/1e/7acc4f0e74c4b3d9531e24739e0ab832a5edf40e64fbae1a9c01941cabd7/pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b", size = 770293, upload-time = "2025-09-25T21:31:51.828Z" }, + { url = "https://files.pythonhosted.org/packages/8b/ef/abd085f06853af0cd59fa5f913d61a8eab65d7639ff2a658d18a25d6a89d/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0", size = 732872, upload-time = "2025-09-25T21:31:53.282Z" }, + { url = "https://files.pythonhosted.org/packages/1f/15/2bc9c8faf6450a8b3c9fc5448ed869c599c0a74ba2669772b1f3a0040180/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69", size = 758828, upload-time = "2025-09-25T21:31:54.807Z" }, + { url = "https://files.pythonhosted.org/packages/a3/00/531e92e88c00f4333ce359e50c19b8d1de9fe8d581b1534e35ccfbc5f393/pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e", size = 142415, upload-time = "2025-09-25T21:31:55.885Z" }, + { url = "https://files.pythonhosted.org/packages/2a/fa/926c003379b19fca39dd4634818b00dec6c62d87faf628d1394e137354d4/pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c", size = 158561, upload-time = "2025-09-25T21:31:57.406Z" }, + { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" }, + { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" }, + { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" }, + { url = "https://files.pythonhosted.org/packages/10/cb/16c3f2cf3266edd25aaa00d6c4350381c8b012ed6f5276675b9eba8d9ff4/pyyaml-6.0.3-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:850774a7879607d3a6f50d36d04f00ee69e7fc816450e5f7e58d7f17f1ae5c00", size = 882114, upload-time = "2025-09-25T21:32:03.376Z" }, + { url = "https://files.pythonhosted.org/packages/71/60/917329f640924b18ff085ab889a11c763e0b573da888e8404ff486657602/pyyaml-6.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d", size = 806638, upload-time = "2025-09-25T21:32:04.553Z" }, + { url = "https://files.pythonhosted.org/packages/dd/6f/529b0f316a9fd167281a6c3826b5583e6192dba792dd55e3203d3f8e655a/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37d57ad971609cf3c53ba6a7e365e40660e3be0e5175fa9f2365a379d6095a", size = 767463, upload-time = "2025-09-25T21:32:06.152Z" }, + { url = "https://files.pythonhosted.org/packages/f2/6a/b627b4e0c1dd03718543519ffb2f1deea4a1e6d42fbab8021936a4d22589/pyyaml-6.0.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:37503bfbfc9d2c40b344d06b2199cf0e96e97957ab1c1b546fd4f87e53e5d3e4", size = 794986, upload-time = "2025-09-25T21:32:07.367Z" }, + { url = "https://files.pythonhosted.org/packages/45/91/47a6e1c42d9ee337c4839208f30d9f09caa9f720ec7582917b264defc875/pyyaml-6.0.3-cp311-cp311-win32.whl", hash = "sha256:8098f252adfa6c80ab48096053f512f2321f0b998f98150cea9bd23d83e1467b", size = 142543, upload-time = "2025-09-25T21:32:08.95Z" }, + { url = "https://files.pythonhosted.org/packages/da/e3/ea007450a105ae919a72393cb06f122f288ef60bba2dc64b26e2646fa315/pyyaml-6.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:9f3bfb4965eb874431221a3ff3fdcddc7e74e3b07799e0e84ca4a0f867d449bf", size = 158763, upload-time = "2025-09-25T21:32:09.96Z" }, + { url = "https://files.pythonhosted.org/packages/d1/33/422b98d2195232ca1826284a76852ad5a86fe23e31b009c9886b2d0fb8b2/pyyaml-6.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7f047e29dcae44602496db43be01ad42fc6f1cc0d8cd6c83d342306c32270196", size = 182063, upload-time = "2025-09-25T21:32:11.445Z" }, + { url = "https://files.pythonhosted.org/packages/89/a0/6cf41a19a1f2f3feab0e9c0b74134aa2ce6849093d5517a0c550fe37a648/pyyaml-6.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fc09d0aa354569bc501d4e787133afc08552722d3ab34836a80547331bb5d4a0", size = 173973, upload-time = "2025-09-25T21:32:12.492Z" }, + { url = "https://files.pythonhosted.org/packages/ed/23/7a778b6bd0b9a8039df8b1b1d80e2e2ad78aa04171592c8a5c43a56a6af4/pyyaml-6.0.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9149cad251584d5fb4981be1ecde53a1ca46c891a79788c0df828d2f166bda28", size = 775116, upload-time = "2025-09-25T21:32:13.652Z" }, + { url = "https://files.pythonhosted.org/packages/65/30/d7353c338e12baef4ecc1b09e877c1970bd3382789c159b4f89d6a70dc09/pyyaml-6.0.3-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5fdec68f91a0c6739b380c83b951e2c72ac0197ace422360e6d5a959d8d97b2c", size = 844011, upload-time = "2025-09-25T21:32:15.21Z" }, + { url = "https://files.pythonhosted.org/packages/8b/9d/b3589d3877982d4f2329302ef98a8026e7f4443c765c46cfecc8858c6b4b/pyyaml-6.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ba1cc08a7ccde2d2ec775841541641e4548226580ab850948cbfda66a1befcdc", size = 807870, upload-time = "2025-09-25T21:32:16.431Z" }, + { url = "https://files.pythonhosted.org/packages/05/c0/b3be26a015601b822b97d9149ff8cb5ead58c66f981e04fedf4e762f4bd4/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8dc52c23056b9ddd46818a57b78404882310fb473d63f17b07d5c40421e47f8e", size = 761089, upload-time = "2025-09-25T21:32:17.56Z" }, + { url = "https://files.pythonhosted.org/packages/be/8e/98435a21d1d4b46590d5459a22d88128103f8da4c2d4cb8f14f2a96504e1/pyyaml-6.0.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41715c910c881bc081f1e8872880d3c650acf13dfa8214bad49ed4cede7c34ea", size = 790181, upload-time = "2025-09-25T21:32:18.834Z" }, + { url = "https://files.pythonhosted.org/packages/74/93/7baea19427dcfbe1e5a372d81473250b379f04b1bd3c4c5ff825e2327202/pyyaml-6.0.3-cp312-cp312-win32.whl", hash = "sha256:96b533f0e99f6579b3d4d4995707cf36df9100d67e0c8303a0c55b27b5f99bc5", size = 137658, upload-time = "2025-09-25T21:32:20.209Z" }, + { url = "https://files.pythonhosted.org/packages/86/bf/899e81e4cce32febab4fb42bb97dcdf66bc135272882d1987881a4b519e9/pyyaml-6.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:5fcd34e47f6e0b794d17de1b4ff496c00986e1c83f7ab2fb8fcfe9616ff7477b", size = 154003, upload-time = "2025-09-25T21:32:21.167Z" }, + { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" }, + { url = "https://files.pythonhosted.org/packages/d1/11/0fd08f8192109f7169db964b5707a2f1e8b745d4e239b784a5a1dd80d1db/pyyaml-6.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8da9669d359f02c0b91ccc01cac4a67f16afec0dac22c2ad09f46bee0697eba8", size = 181669, upload-time = "2025-09-25T21:32:23.673Z" }, + { url = "https://files.pythonhosted.org/packages/b1/16/95309993f1d3748cd644e02e38b75d50cbc0d9561d21f390a76242ce073f/pyyaml-6.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2283a07e2c21a2aa78d9c4442724ec1eb15f5e42a723b99cb3d822d48f5f7ad1", size = 173252, upload-time = "2025-09-25T21:32:25.149Z" }, + { url = "https://files.pythonhosted.org/packages/50/31/b20f376d3f810b9b2371e72ef5adb33879b25edb7a6d072cb7ca0c486398/pyyaml-6.0.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ee2922902c45ae8ccada2c5b501ab86c36525b883eff4255313a253a3160861c", size = 767081, upload-time = "2025-09-25T21:32:26.575Z" }, + { url = "https://files.pythonhosted.org/packages/49/1e/a55ca81e949270d5d4432fbbd19dfea5321eda7c41a849d443dc92fd1ff7/pyyaml-6.0.3-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a33284e20b78bd4a18c8c2282d549d10bc8408a2a7ff57653c0cf0b9be0afce5", size = 841159, upload-time = "2025-09-25T21:32:27.727Z" }, + { url = "https://files.pythonhosted.org/packages/74/27/e5b8f34d02d9995b80abcef563ea1f8b56d20134d8f4e5e81733b1feceb2/pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0f29edc409a6392443abf94b9cf89ce99889a1dd5376d94316ae5145dfedd5d6", size = 801626, upload-time = "2025-09-25T21:32:28.878Z" }, + { url = "https://files.pythonhosted.org/packages/f9/11/ba845c23988798f40e52ba45f34849aa8a1f2d4af4b798588010792ebad6/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7057c9a337546edc7973c0d3ba84ddcdf0daa14533c2065749c9075001090e6", size = 753613, upload-time = "2025-09-25T21:32:30.178Z" }, + { url = "https://files.pythonhosted.org/packages/3d/e0/7966e1a7bfc0a45bf0a7fb6b98ea03fc9b8d84fa7f2229e9659680b69ee3/pyyaml-6.0.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eda16858a3cab07b80edaf74336ece1f986ba330fdb8ee0d6c0d68fe82bc96be", size = 794115, upload-time = "2025-09-25T21:32:31.353Z" }, + { url = "https://files.pythonhosted.org/packages/de/94/980b50a6531b3019e45ddeada0626d45fa85cbe22300844a7983285bed3b/pyyaml-6.0.3-cp313-cp313-win32.whl", hash = "sha256:d0eae10f8159e8fdad514efdc92d74fd8d682c933a6dd088030f3834bc8e6b26", size = 137427, upload-time = "2025-09-25T21:32:32.58Z" }, + { url = "https://files.pythonhosted.org/packages/97/c9/39d5b874e8b28845e4ec2202b5da735d0199dbe5b8fb85f91398814a9a46/pyyaml-6.0.3-cp313-cp313-win_amd64.whl", hash = "sha256:79005a0d97d5ddabfeeea4cf676af11e647e41d81c9a7722a193022accdb6b7c", size = 154090, upload-time = "2025-09-25T21:32:33.659Z" }, + { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" }, + { url = "https://files.pythonhosted.org/packages/9d/8c/f4bd7f6465179953d3ac9bc44ac1a8a3e6122cf8ada906b4f96c60172d43/pyyaml-6.0.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:8d1fab6bb153a416f9aeb4b8763bc0f22a5586065f86f7664fc23339fc1c1fac", size = 181814, upload-time = "2025-09-25T21:32:35.712Z" }, + { url = "https://files.pythonhosted.org/packages/bd/9c/4d95bb87eb2063d20db7b60faa3840c1b18025517ae857371c4dd55a6b3a/pyyaml-6.0.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:34d5fcd24b8445fadc33f9cf348c1047101756fd760b4dacb5c3e99755703310", size = 173809, upload-time = "2025-09-25T21:32:36.789Z" }, + { url = "https://files.pythonhosted.org/packages/92/b5/47e807c2623074914e29dabd16cbbdd4bf5e9b2db9f8090fa64411fc5382/pyyaml-6.0.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:501a031947e3a9025ed4405a168e6ef5ae3126c59f90ce0cd6f2bfc477be31b7", size = 766454, upload-time = "2025-09-25T21:32:37.966Z" }, + { url = "https://files.pythonhosted.org/packages/02/9e/e5e9b168be58564121efb3de6859c452fccde0ab093d8438905899a3a483/pyyaml-6.0.3-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b3bc83488de33889877a0f2543ade9f70c67d66d9ebb4ac959502e12de895788", size = 836355, upload-time = "2025-09-25T21:32:39.178Z" }, + { url = "https://files.pythonhosted.org/packages/88/f9/16491d7ed2a919954993e48aa941b200f38040928474c9e85ea9e64222c3/pyyaml-6.0.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c458b6d084f9b935061bc36216e8a69a7e293a2f1e68bf956dcd9e6cbcd143f5", size = 794175, upload-time = "2025-09-25T21:32:40.865Z" }, + { url = "https://files.pythonhosted.org/packages/dd/3f/5989debef34dc6397317802b527dbbafb2b4760878a53d4166579111411e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7c6610def4f163542a622a73fb39f534f8c101d690126992300bf3207eab9764", size = 755228, upload-time = "2025-09-25T21:32:42.084Z" }, + { url = "https://files.pythonhosted.org/packages/d7/ce/af88a49043cd2e265be63d083fc75b27b6ed062f5f9fd6cdc223ad62f03e/pyyaml-6.0.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:5190d403f121660ce8d1d2c1bb2ef1bd05b5f68533fc5c2ea899bd15f4399b35", size = 789194, upload-time = "2025-09-25T21:32:43.362Z" }, + { url = "https://files.pythonhosted.org/packages/23/20/bb6982b26a40bb43951265ba29d4c246ef0ff59c9fdcdf0ed04e0687de4d/pyyaml-6.0.3-cp314-cp314-win_amd64.whl", hash = "sha256:4a2e8cebe2ff6ab7d1050ecd59c25d4c8bd7e6f400f5f82b96557ac0abafd0ac", size = 156429, upload-time = "2025-09-25T21:32:57.844Z" }, + { url = "https://files.pythonhosted.org/packages/f4/f4/a4541072bb9422c8a883ab55255f918fa378ecf083f5b85e87fc2b4eda1b/pyyaml-6.0.3-cp314-cp314-win_arm64.whl", hash = "sha256:93dda82c9c22deb0a405ea4dc5f2d0cda384168e466364dec6255b293923b2f3", size = 143912, upload-time = "2025-09-25T21:32:59.247Z" }, + { url = "https://files.pythonhosted.org/packages/7c/f9/07dd09ae774e4616edf6cda684ee78f97777bdd15847253637a6f052a62f/pyyaml-6.0.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:02893d100e99e03eda1c8fd5c441d8c60103fd175728e23e431db1b589cf5ab3", size = 189108, upload-time = "2025-09-25T21:32:44.377Z" }, + { url = "https://files.pythonhosted.org/packages/4e/78/8d08c9fb7ce09ad8c38ad533c1191cf27f7ae1effe5bb9400a46d9437fcf/pyyaml-6.0.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c1ff362665ae507275af2853520967820d9124984e0f7466736aea23d8611fba", size = 183641, upload-time = "2025-09-25T21:32:45.407Z" }, + { url = "https://files.pythonhosted.org/packages/7b/5b/3babb19104a46945cf816d047db2788bcaf8c94527a805610b0289a01c6b/pyyaml-6.0.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6adc77889b628398debc7b65c073bcb99c4a0237b248cacaf3fe8a557563ef6c", size = 831901, upload-time = "2025-09-25T21:32:48.83Z" }, + { url = "https://files.pythonhosted.org/packages/8b/cc/dff0684d8dc44da4d22a13f35f073d558c268780ce3c6ba1b87055bb0b87/pyyaml-6.0.3-cp314-cp314t-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:a80cb027f6b349846a3bf6d73b5e95e782175e52f22108cfa17876aaeff93702", size = 861132, upload-time = "2025-09-25T21:32:50.149Z" }, + { url = "https://files.pythonhosted.org/packages/b1/5e/f77dc6b9036943e285ba76b49e118d9ea929885becb0a29ba8a7c75e29fe/pyyaml-6.0.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:00c4bdeba853cc34e7dd471f16b4114f4162dc03e6b7afcc2128711f0eca823c", size = 839261, upload-time = "2025-09-25T21:32:51.808Z" }, + { url = "https://files.pythonhosted.org/packages/ce/88/a9db1376aa2a228197c58b37302f284b5617f56a5d959fd1763fb1675ce6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:66e1674c3ef6f541c35191caae2d429b967b99e02040f5ba928632d9a7f0f065", size = 805272, upload-time = "2025-09-25T21:32:52.941Z" }, + { url = "https://files.pythonhosted.org/packages/da/92/1446574745d74df0c92e6aa4a7b0b3130706a4142b2d1a5869f2eaa423c6/pyyaml-6.0.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:16249ee61e95f858e83976573de0f5b2893b3677ba71c9dd36b9cf8be9ac6d65", size = 829923, upload-time = "2025-09-25T21:32:54.537Z" }, + { url = "https://files.pythonhosted.org/packages/f0/7a/1c7270340330e575b92f397352af856a8c06f230aa3e76f86b39d01b416a/pyyaml-6.0.3-cp314-cp314t-win_amd64.whl", hash = "sha256:4ad1906908f2f5ae4e5a8ddfce73c320c2a1429ec52eafd27138b7f1cbe341c9", size = 174062, upload-time = "2025-09-25T21:32:55.767Z" }, + { url = "https://files.pythonhosted.org/packages/f1/12/de94a39c2ef588c7e6455cfbe7343d3b2dc9d6b6b2f40c4c6565744c873d/pyyaml-6.0.3-cp314-cp314t-win_arm64.whl", hash = "sha256:ebc55a14a21cb14062aa4162f906cd962b28e2e9ea38f9b4391244cd8de4ae0b", size = 149341, upload-time = "2025-09-25T21:32:56.828Z" }, +] + +[[package]] +name = "pyyaml-env-tag" +version = "1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "pyyaml" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/eb/2e/79c822141bfd05a853236b504869ebc6b70159afc570e1d5a20641782eaa/pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff", size = 5737, upload-time = "2025-05-13T15:24:01.64Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/04/11/432f32f8097b03e3cd5fe57e88efb685d964e2e5178a48ed61e841f7fdce/pyyaml_env_tag-1.1-py3-none-any.whl", hash = "sha256:17109e1a528561e32f026364712fee1264bc2ea6715120891174ed1b980d2e04", size = 4722, upload-time = "2025-05-13T15:23:59.629Z" }, +] + +[[package]] +name = "pyzmq" +version = "27.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cffi", marker = "implementation_name == 'pypy'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/67/b9/52aa9ec2867528b54f1e60846728d8b4d84726630874fee3a91e66c7df81/pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4", size = 1329850, upload-time = "2025-09-08T23:07:26.274Z" }, + { url = "https://files.pythonhosted.org/packages/99/64/5653e7b7425b169f994835a2b2abf9486264401fdef18df91ddae47ce2cc/pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556", size = 906380, upload-time = "2025-09-08T23:07:29.78Z" }, + { url = "https://files.pythonhosted.org/packages/73/78/7d713284dbe022f6440e391bd1f3c48d9185673878034cfb3939cdf333b2/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b", size = 666421, upload-time = "2025-09-08T23:07:31.263Z" }, + { url = "https://files.pythonhosted.org/packages/30/76/8f099f9d6482450428b17c4d6b241281af7ce6a9de8149ca8c1c649f6792/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e", size = 854149, upload-time = "2025-09-08T23:07:33.17Z" }, + { url = "https://files.pythonhosted.org/packages/59/f0/37fbfff06c68016019043897e4c969ceab18bde46cd2aca89821fcf4fb2e/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526", size = 1655070, upload-time = "2025-09-08T23:07:35.205Z" }, + { url = "https://files.pythonhosted.org/packages/47/14/7254be73f7a8edc3587609554fcaa7bfd30649bf89cd260e4487ca70fdaa/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1", size = 2033441, upload-time = "2025-09-08T23:07:37.432Z" }, + { url = "https://files.pythonhosted.org/packages/22/dc/49f2be26c6f86f347e796a4d99b19167fc94503f0af3fd010ad262158822/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386", size = 1891529, upload-time = "2025-09-08T23:07:39.047Z" }, + { url = "https://files.pythonhosted.org/packages/a3/3e/154fb963ae25be70c0064ce97776c937ecc7d8b0259f22858154a9999769/pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda", size = 567276, upload-time = "2025-09-08T23:07:40.695Z" }, + { url = "https://files.pythonhosted.org/packages/62/b2/f4ab56c8c595abcb26b2be5fd9fa9e6899c1e5ad54964e93ae8bb35482be/pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f", size = 632208, upload-time = "2025-09-08T23:07:42.298Z" }, + { url = "https://files.pythonhosted.org/packages/3b/e3/be2cc7ab8332bdac0522fdb64c17b1b6241a795bee02e0196636ec5beb79/pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32", size = 559766, upload-time = "2025-09-08T23:07:43.869Z" }, + { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" }, + { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" }, + { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" }, + { url = "https://files.pythonhosted.org/packages/b1/c4/2a6fe5111a01005fc7af3878259ce17684fabb8852815eda6225620f3c59/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5bbf8d3630bf96550b3be8e1fc0fea5cbdc8d5466c1192887bd94869da17a63e", size = 857038, upload-time = "2025-09-08T23:07:51.234Z" }, + { url = "https://files.pythonhosted.org/packages/cb/eb/bfdcb41d0db9cd233d6fb22dc131583774135505ada800ebf14dfb0a7c40/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:15c8bd0fe0dabf808e2d7a681398c4e5ded70a551ab47482067a572c054c8e2e", size = 1657531, upload-time = "2025-09-08T23:07:52.795Z" }, + { url = "https://files.pythonhosted.org/packages/ab/21/e3180ca269ed4a0de5c34417dfe71a8ae80421198be83ee619a8a485b0c7/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:bafcb3dd171b4ae9f19ee6380dfc71ce0390fefaf26b504c0e5f628d7c8c54f2", size = 2034786, upload-time = "2025-09-08T23:07:55.047Z" }, + { url = "https://files.pythonhosted.org/packages/3b/b1/5e21d0b517434b7f33588ff76c177c5a167858cc38ef740608898cd329f2/pyzmq-27.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e829529fcaa09937189178115c49c504e69289abd39967cd8a4c215761373394", size = 1894220, upload-time = "2025-09-08T23:07:57.172Z" }, + { url = "https://files.pythonhosted.org/packages/03/f2/44913a6ff6941905efc24a1acf3d3cb6146b636c546c7406c38c49c403d4/pyzmq-27.1.0-cp311-cp311-win32.whl", hash = "sha256:6df079c47d5902af6db298ec92151db82ecb557af663098b92f2508c398bb54f", size = 567155, upload-time = "2025-09-08T23:07:59.05Z" }, + { url = "https://files.pythonhosted.org/packages/23/6d/d8d92a0eb270a925c9b4dd039c0b4dc10abc2fcbc48331788824ef113935/pyzmq-27.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:190cbf120fbc0fc4957b56866830def56628934a9d112aec0e2507aa6a032b97", size = 633428, upload-time = "2025-09-08T23:08:00.663Z" }, + { url = "https://files.pythonhosted.org/packages/ae/14/01afebc96c5abbbd713ecfc7469cfb1bc801c819a74ed5c9fad9a48801cb/pyzmq-27.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:eca6b47df11a132d1745eb3b5b5e557a7dae2c303277aa0e69c6ba91b8736e07", size = 559497, upload-time = "2025-09-08T23:08:02.15Z" }, + { url = "https://files.pythonhosted.org/packages/92/e7/038aab64a946d535901103da16b953c8c9cc9c961dadcbf3609ed6428d23/pyzmq-27.1.0-cp312-abi3-macosx_10_15_universal2.whl", hash = "sha256:452631b640340c928fa343801b0d07eb0c3789a5ffa843f6e1a9cee0ba4eb4fc", size = 1306279, upload-time = "2025-09-08T23:08:03.807Z" }, + { url = "https://files.pythonhosted.org/packages/e8/5e/c3c49fdd0f535ef45eefcc16934648e9e59dace4a37ee88fc53f6cd8e641/pyzmq-27.1.0-cp312-abi3-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1c179799b118e554b66da67d88ed66cd37a169f1f23b5d9f0a231b4e8d44a113", size = 895645, upload-time = "2025-09-08T23:08:05.301Z" }, + { url = "https://files.pythonhosted.org/packages/f8/e5/b0b2504cb4e903a74dcf1ebae157f9e20ebb6ea76095f6cfffea28c42ecd/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3837439b7f99e60312f0c926a6ad437b067356dc2bc2ec96eb395fd0fe804233", size = 652574, upload-time = "2025-09-08T23:08:06.828Z" }, + { url = "https://files.pythonhosted.org/packages/f8/9b/c108cdb55560eaf253f0cbdb61b29971e9fb34d9c3499b0e96e4e60ed8a5/pyzmq-27.1.0-cp312-abi3-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43ad9a73e3da1fab5b0e7e13402f0b2fb934ae1c876c51d0afff0e7c052eca31", size = 840995, upload-time = "2025-09-08T23:08:08.396Z" }, + { url = "https://files.pythonhosted.org/packages/c2/bb/b79798ca177b9eb0825b4c9998c6af8cd2a7f15a6a1a4272c1d1a21d382f/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0de3028d69d4cdc475bfe47a6128eb38d8bc0e8f4d69646adfbcd840facbac28", size = 1642070, upload-time = "2025-09-08T23:08:09.989Z" }, + { url = "https://files.pythonhosted.org/packages/9c/80/2df2e7977c4ede24c79ae39dcef3899bfc5f34d1ca7a5b24f182c9b7a9ca/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_i686.whl", hash = "sha256:cf44a7763aea9298c0aa7dbf859f87ed7012de8bda0f3977b6fb1d96745df856", size = 2021121, upload-time = "2025-09-08T23:08:11.907Z" }, + { url = "https://files.pythonhosted.org/packages/46/bd/2d45ad24f5f5ae7e8d01525eb76786fa7557136555cac7d929880519e33a/pyzmq-27.1.0-cp312-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:f30f395a9e6fbca195400ce833c731e7b64c3919aa481af4d88c3759e0cb7496", size = 1878550, upload-time = "2025-09-08T23:08:13.513Z" }, + { url = "https://files.pythonhosted.org/packages/e6/2f/104c0a3c778d7c2ab8190e9db4f62f0b6957b53c9d87db77c284b69f33ea/pyzmq-27.1.0-cp312-abi3-win32.whl", hash = "sha256:250e5436a4ba13885494412b3da5d518cd0d3a278a1ae640e113c073a5f88edd", size = 559184, upload-time = "2025-09-08T23:08:15.163Z" }, + { url = "https://files.pythonhosted.org/packages/fc/7f/a21b20d577e4100c6a41795842028235998a643b1ad406a6d4163ea8f53e/pyzmq-27.1.0-cp312-abi3-win_amd64.whl", hash = "sha256:9ce490cf1d2ca2ad84733aa1d69ce6855372cb5ce9223802450c9b2a7cba0ccf", size = 619480, upload-time = "2025-09-08T23:08:17.192Z" }, + { url = "https://files.pythonhosted.org/packages/78/c2/c012beae5f76b72f007a9e91ee9401cb88c51d0f83c6257a03e785c81cc2/pyzmq-27.1.0-cp312-abi3-win_arm64.whl", hash = "sha256:75a2f36223f0d535a0c919e23615fc85a1e23b71f40c7eb43d7b1dedb4d8f15f", size = 552993, upload-time = "2025-09-08T23:08:18.926Z" }, + { url = "https://files.pythonhosted.org/packages/60/cb/84a13459c51da6cec1b7b1dc1a47e6db6da50b77ad7fd9c145842750a011/pyzmq-27.1.0-cp313-cp313-android_24_arm64_v8a.whl", hash = "sha256:93ad4b0855a664229559e45c8d23797ceac03183c7b6f5b4428152a6b06684a5", size = 1122436, upload-time = "2025-09-08T23:08:20.801Z" }, + { url = "https://files.pythonhosted.org/packages/dc/b6/94414759a69a26c3dd674570a81813c46a078767d931a6c70ad29fc585cb/pyzmq-27.1.0-cp313-cp313-android_24_x86_64.whl", hash = "sha256:fbb4f2400bfda24f12f009cba62ad5734148569ff4949b1b6ec3b519444342e6", size = 1156301, upload-time = "2025-09-08T23:08:22.47Z" }, + { url = "https://files.pythonhosted.org/packages/a5/ad/15906493fd40c316377fd8a8f6b1f93104f97a752667763c9b9c1b71d42d/pyzmq-27.1.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:e343d067f7b151cfe4eb3bb796a7752c9d369eed007b91231e817071d2c2fec7", size = 1341197, upload-time = "2025-09-08T23:08:24.286Z" }, + { url = "https://files.pythonhosted.org/packages/14/1d/d343f3ce13db53a54cb8946594e567410b2125394dafcc0268d8dda027e0/pyzmq-27.1.0-cp313-cp313t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:08363b2011dec81c354d694bdecaef4770e0ae96b9afea70b3f47b973655cc05", size = 897275, upload-time = "2025-09-08T23:08:26.063Z" }, + { url = "https://files.pythonhosted.org/packages/69/2d/d83dd6d7ca929a2fc67d2c3005415cdf322af7751d773524809f9e585129/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d54530c8c8b5b8ddb3318f481297441af102517602b569146185fa10b63f4fa9", size = 660469, upload-time = "2025-09-08T23:08:27.623Z" }, + { url = "https://files.pythonhosted.org/packages/3e/cd/9822a7af117f4bc0f1952dbe9ef8358eb50a24928efd5edf54210b850259/pyzmq-27.1.0-cp313-cp313t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f3afa12c392f0a44a2414056d730eebc33ec0926aae92b5ad5cf26ebb6cc128", size = 847961, upload-time = "2025-09-08T23:08:29.672Z" }, + { url = "https://files.pythonhosted.org/packages/9a/12/f003e824a19ed73be15542f172fd0ec4ad0b60cf37436652c93b9df7c585/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c65047adafe573ff023b3187bb93faa583151627bc9c51fc4fb2c561ed689d39", size = 1650282, upload-time = "2025-09-08T23:08:31.349Z" }, + { url = "https://files.pythonhosted.org/packages/d5/4a/e82d788ed58e9a23995cee70dbc20c9aded3d13a92d30d57ec2291f1e8a3/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:90e6e9441c946a8b0a667356f7078d96411391a3b8f80980315455574177ec97", size = 2024468, upload-time = "2025-09-08T23:08:33.543Z" }, + { url = "https://files.pythonhosted.org/packages/d9/94/2da0a60841f757481e402b34bf4c8bf57fa54a5466b965de791b1e6f747d/pyzmq-27.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:add071b2d25f84e8189aaf0882d39a285b42fa3853016ebab234a5e78c7a43db", size = 1885394, upload-time = "2025-09-08T23:08:35.51Z" }, + { url = "https://files.pythonhosted.org/packages/4f/6f/55c10e2e49ad52d080dc24e37adb215e5b0d64990b57598abc2e3f01725b/pyzmq-27.1.0-cp313-cp313t-win32.whl", hash = "sha256:7ccc0700cfdf7bd487bea8d850ec38f204478681ea02a582a8da8171b7f90a1c", size = 574964, upload-time = "2025-09-08T23:08:37.178Z" }, + { url = "https://files.pythonhosted.org/packages/87/4d/2534970ba63dd7c522d8ca80fb92777f362c0f321900667c615e2067cb29/pyzmq-27.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:8085a9fba668216b9b4323be338ee5437a235fe275b9d1610e422ccc279733e2", size = 641029, upload-time = "2025-09-08T23:08:40.595Z" }, + { url = "https://files.pythonhosted.org/packages/f6/fa/f8aea7a28b0641f31d40dea42d7ef003fded31e184ef47db696bc74cd610/pyzmq-27.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:6bb54ca21bcfe361e445256c15eedf083f153811c37be87e0514934d6913061e", size = 561541, upload-time = "2025-09-08T23:08:42.668Z" }, + { url = "https://files.pythonhosted.org/packages/87/45/19efbb3000956e82d0331bafca5d9ac19ea2857722fa2caacefb6042f39d/pyzmq-27.1.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:ce980af330231615756acd5154f29813d553ea555485ae712c491cd483df6b7a", size = 1341197, upload-time = "2025-09-08T23:08:44.973Z" }, + { url = "https://files.pythonhosted.org/packages/48/43/d72ccdbf0d73d1343936296665826350cb1e825f92f2db9db3e61c2162a2/pyzmq-27.1.0-cp314-cp314t-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:1779be8c549e54a1c38f805e56d2a2e5c009d26de10921d7d51cfd1c8d4632ea", size = 897175, upload-time = "2025-09-08T23:08:46.601Z" }, + { url = "https://files.pythonhosted.org/packages/2f/2e/a483f73a10b65a9ef0161e817321d39a770b2acf8bcf3004a28d90d14a94/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7200bb0f03345515df50d99d3db206a0a6bee1955fbb8c453c76f5bf0e08fb96", size = 660427, upload-time = "2025-09-08T23:08:48.187Z" }, + { url = "https://files.pythonhosted.org/packages/f5/d2/5f36552c2d3e5685abe60dfa56f91169f7a2d99bbaf67c5271022ab40863/pyzmq-27.1.0-cp314-cp314t-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:01c0e07d558b06a60773744ea6251f769cd79a41a97d11b8bf4ab8f034b0424d", size = 847929, upload-time = "2025-09-08T23:08:49.76Z" }, + { url = "https://files.pythonhosted.org/packages/c4/2a/404b331f2b7bf3198e9945f75c4c521f0c6a3a23b51f7a4a401b94a13833/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:80d834abee71f65253c91540445d37c4c561e293ba6e741b992f20a105d69146", size = 1650193, upload-time = "2025-09-08T23:08:51.7Z" }, + { url = "https://files.pythonhosted.org/packages/1c/0b/f4107e33f62a5acf60e3ded67ed33d79b4ce18de432625ce2fc5093d6388/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:544b4e3b7198dde4a62b8ff6685e9802a9a1ebf47e77478a5eb88eca2a82f2fd", size = 2024388, upload-time = "2025-09-08T23:08:53.393Z" }, + { url = "https://files.pythonhosted.org/packages/0d/01/add31fe76512642fd6e40e3a3bd21f4b47e242c8ba33efb6809e37076d9b/pyzmq-27.1.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:cedc4c68178e59a4046f97eca31b148ddcf51e88677de1ef4e78cf06c5376c9a", size = 1885316, upload-time = "2025-09-08T23:08:55.702Z" }, + { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" }, + { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" }, + { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" }, + { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" }, + { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" }, + { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" }, + { url = "https://files.pythonhosted.org/packages/d1/db/5c4d6807434751e3f21231bee98109aa57b9b9b55e058e450d0aef59b70f/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74", size = 747371, upload-time = "2025-09-08T23:09:45.575Z" }, + { url = "https://files.pythonhosted.org/packages/26/af/78ce193dbf03567eb8c0dc30e3df2b9e56f12a670bf7eb20f9fb532c7e8a/pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba", size = 544862, upload-time = "2025-09-08T23:09:47.448Z" }, + { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" }, + { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" }, + { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" }, + { url = "https://files.pythonhosted.org/packages/a1/cf/f2b3784d536250ffd4be70e049f3b60981235d70c6e8ce7e3ef21e1adb25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f605d884e7c8be8fe1aa94e0a783bf3f591b84c24e4bc4f3e7564c82ac25e271", size = 747371, upload-time = "2025-09-08T23:09:54.563Z" }, + { url = "https://files.pythonhosted.org/packages/01/1b/5dbe84eefc86f48473947e2f41711aded97eecef1231f4558f1f02713c12/pyzmq-27.1.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:c9f7f6e13dff2e44a6afeaf2cf54cee5929ad64afaf4d40b50f93c58fc687355", size = 544862, upload-time = "2025-09-08T23:09:56.509Z" }, +] + +[[package]] +name = "questionary" +version = "2.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "prompt-toolkit", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/f6/45/eafb0bba0f9988f6a2520f9ca2df2c82ddfa8d67c95d6625452e97b204a5/questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d", size = 25845, upload-time = "2025-08-28T19:00:20.851Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3c/26/1062c7ec1b053db9e499b4d2d5bc231743201b74051c973dadeac80a8f43/questionary-2.1.1-py3-none-any.whl", hash = "sha256:a51af13f345f1cdea62347589fbb6df3b290306ab8930713bfae4d475a7d4a59", size = 36753, upload-time = "2025-08-28T19:00:19.56Z" }, +] + +[[package]] +name = "referencing" +version = "0.37.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs" }, + { name = "rpds-py" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" }, +] + +[[package]] +name = "requests" +version = "2.32.5" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "certifi" }, + { name = "charset-normalizer" }, + { name = "idna" }, + { name = "urllib3" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c9/74/b3ff8e6c8446842c3f5c837e9c3dfcfe2018ea6ecef224c710c85ef728f4/requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf", size = 134517, upload-time = "2025-08-18T20:46:02.573Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6", size = 64738, upload-time = "2025-08-18T20:46:00.542Z" }, +] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "six" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/ea/a9387748e2d111c3c2b275ba970b735e04e15cdb1eb30693b6b5708c4dbd/rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b", size = 5513, upload-time = "2021-05-12T16:37:54.178Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa", size = 3490, upload-time = "2021-05-12T16:37:52.536Z" }, +] + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/da/88/f270de456dd7d11dcc808abfa291ecdd3f45ff44e3b549ffa01b126464d0/rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055", size = 6760, upload-time = "2019-10-28T16:00:19.144Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9", size = 4242, upload-time = "2019-10-28T16:00:13.976Z" }, +] + +[[package]] +name = "rfc3987-syntax" +version = "1.1.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "lark" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/2c/06/37c1a5557acf449e8e406a830a05bf885ac47d33270aec454ef78675008d/rfc3987_syntax-1.1.0.tar.gz", hash = "sha256:717a62cbf33cffdd16dfa3a497d81ce48a660ea691b1ddd7be710c22f00b4a0d", size = 14239, upload-time = "2025-07-18T01:05:05.015Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/7e/71/44ce230e1b7fadd372515a97e32a83011f906ddded8d03e3c6aafbdedbb7/rfc3987_syntax-1.1.0-py3-none-any.whl", hash = "sha256:6c3d97604e4c5ce9f714898e05401a0445a641cfa276432b0a648c80856f6a3f", size = 8046, upload-time = "2025-07-18T01:05:03.843Z" }, +] + +[[package]] +name = "rich" +version = "14.3.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "markdown-it-py" }, + { name = "pygments" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b3/c6/f3b320c27991c46f43ee9d856302c70dc2d0fb2dba4842ff739d5f46b393/rich-14.3.3.tar.gz", hash = "sha256:b8daa0b9e4eef54dd8cf7c86c03713f53241884e814f4e2f5fb342fe520f639b", size = 230582, upload-time = "2026-02-19T17:23:12.474Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/14/25/b208c5683343959b670dc001595f2f3737e051da617f66c31f7c4fa93abc/rich-14.3.3-py3-none-any.whl", hash = "sha256:793431c1f8619afa7d3b52b2cdec859562b950ea0d4b6b505397612db8d5362d", size = 310458, upload-time = "2026-02-19T17:23:13.732Z" }, +] + +[[package]] +name = "rpds-py" +version = "0.30.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/06/0c/0c411a0ec64ccb6d104dcabe0e713e05e153a9a2c3c2bd2b32ce412166fe/rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288", size = 370490, upload-time = "2025-11-30T20:21:33.256Z" }, + { url = "https://files.pythonhosted.org/packages/19/6a/4ba3d0fb7297ebae71171822554abe48d7cab29c28b8f9f2c04b79988c05/rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00", size = 359751, upload-time = "2025-11-30T20:21:34.591Z" }, + { url = "https://files.pythonhosted.org/packages/cd/7c/e4933565ef7f7a0818985d87c15d9d273f1a649afa6a52ea35ad011195ea/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6", size = 389696, upload-time = "2025-11-30T20:21:36.122Z" }, + { url = "https://files.pythonhosted.org/packages/5e/01/6271a2511ad0815f00f7ed4390cf2567bec1d4b1da39e2c27a41e6e3b4de/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7", size = 403136, upload-time = "2025-11-30T20:21:37.728Z" }, + { url = "https://files.pythonhosted.org/packages/55/64/c857eb7cd7541e9b4eee9d49c196e833128a55b89a9850a9c9ac33ccf897/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324", size = 524699, upload-time = "2025-11-30T20:21:38.92Z" }, + { url = "https://files.pythonhosted.org/packages/9c/ed/94816543404078af9ab26159c44f9e98e20fe47e2126d5d32c9d9948d10a/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df", size = 412022, upload-time = "2025-11-30T20:21:40.407Z" }, + { url = "https://files.pythonhosted.org/packages/61/b5/707f6cf0066a6412aacc11d17920ea2e19e5b2f04081c64526eb35b5c6e7/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3", size = 390522, upload-time = "2025-11-30T20:21:42.17Z" }, + { url = "https://files.pythonhosted.org/packages/13/4e/57a85fda37a229ff4226f8cbcf09f2a455d1ed20e802ce5b2b4a7f5ed053/rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221", size = 404579, upload-time = "2025-11-30T20:21:43.769Z" }, + { url = "https://files.pythonhosted.org/packages/f9/da/c9339293513ec680a721e0e16bf2bac3db6e5d7e922488de471308349bba/rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7", size = 421305, upload-time = "2025-11-30T20:21:44.994Z" }, + { url = "https://files.pythonhosted.org/packages/f9/be/522cb84751114f4ad9d822ff5a1aa3c98006341895d5f084779b99596e5c/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff", size = 572503, upload-time = "2025-11-30T20:21:46.91Z" }, + { url = "https://files.pythonhosted.org/packages/a2/9b/de879f7e7ceddc973ea6e4629e9b380213a6938a249e94b0cdbcc325bb66/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7", size = 598322, upload-time = "2025-11-30T20:21:48.709Z" }, + { url = "https://files.pythonhosted.org/packages/48/ac/f01fc22efec3f37d8a914fc1b2fb9bcafd56a299edbe96406f3053edea5a/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139", size = 560792, upload-time = "2025-11-30T20:21:50.024Z" }, + { url = "https://files.pythonhosted.org/packages/e2/da/4e2b19d0f131f35b6146425f846563d0ce036763e38913d917187307a671/rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464", size = 221901, upload-time = "2025-11-30T20:21:51.32Z" }, + { url = "https://files.pythonhosted.org/packages/96/cb/156d7a5cf4f78a7cc571465d8aec7a3c447c94f6749c5123f08438bcf7bc/rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169", size = 235823, upload-time = "2025-11-30T20:21:52.505Z" }, + { url = "https://files.pythonhosted.org/packages/4d/6e/f964e88b3d2abee2a82c1ac8366da848fce1c6d834dc2132c3fda3970290/rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425", size = 370157, upload-time = "2025-11-30T20:21:53.789Z" }, + { url = "https://files.pythonhosted.org/packages/94/ba/24e5ebb7c1c82e74c4e4f33b2112a5573ddc703915b13a073737b59b86e0/rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d", size = 359676, upload-time = "2025-11-30T20:21:55.475Z" }, + { url = "https://files.pythonhosted.org/packages/84/86/04dbba1b087227747d64d80c3b74df946b986c57af0a9f0c98726d4d7a3b/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4", size = 389938, upload-time = "2025-11-30T20:21:57.079Z" }, + { url = "https://files.pythonhosted.org/packages/42/bb/1463f0b1722b7f45431bdd468301991d1328b16cffe0b1c2918eba2c4eee/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:07ae8a593e1c3c6b82ca3292efbe73c30b61332fd612e05abee07c79359f292f", size = 402932, upload-time = "2025-11-30T20:21:58.47Z" }, + { url = "https://files.pythonhosted.org/packages/99/ee/2520700a5c1f2d76631f948b0736cdf9b0acb25abd0ca8e889b5c62ac2e3/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12f90dd7557b6bd57f40abe7747e81e0c0b119bef015ea7726e69fe550e394a4", size = 525830, upload-time = "2025-11-30T20:21:59.699Z" }, + { url = "https://files.pythonhosted.org/packages/e0/ad/bd0331f740f5705cc555a5e17fdf334671262160270962e69a2bdef3bf76/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99b47d6ad9a6da00bec6aabe5a6279ecd3c06a329d4aa4771034a21e335c3a97", size = 412033, upload-time = "2025-11-30T20:22:00.991Z" }, + { url = "https://files.pythonhosted.org/packages/f8/1e/372195d326549bb51f0ba0f2ecb9874579906b97e08880e7a65c3bef1a99/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33f559f3104504506a44bb666b93a33f5d33133765b0c216a5bf2f1e1503af89", size = 390828, upload-time = "2025-11-30T20:22:02.723Z" }, + { url = "https://files.pythonhosted.org/packages/ab/2b/d88bb33294e3e0c76bc8f351a3721212713629ffca1700fa94979cb3eae8/rpds_py-0.30.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:946fe926af6e44f3697abbc305ea168c2c31d3e3ef1058cf68f379bf0335a78d", size = 404683, upload-time = "2025-11-30T20:22:04.367Z" }, + { url = "https://files.pythonhosted.org/packages/50/32/c759a8d42bcb5289c1fac697cd92f6fe01a018dd937e62ae77e0e7f15702/rpds_py-0.30.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:495aeca4b93d465efde585977365187149e75383ad2684f81519f504f5c13038", size = 421583, upload-time = "2025-11-30T20:22:05.814Z" }, + { url = "https://files.pythonhosted.org/packages/2b/81/e729761dbd55ddf5d84ec4ff1f47857f4374b0f19bdabfcf929164da3e24/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d9a0ca5da0386dee0655b4ccdf46119df60e0f10da268d04fe7cc87886872ba7", size = 572496, upload-time = "2025-11-30T20:22:07.713Z" }, + { url = "https://files.pythonhosted.org/packages/14/f6/69066a924c3557c9c30baa6ec3a0aa07526305684c6f86c696b08860726c/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8d6d1cc13664ec13c1b84241204ff3b12f9bb82464b8ad6e7a5d3486975c2eed", size = 598669, upload-time = "2025-11-30T20:22:09.312Z" }, + { url = "https://files.pythonhosted.org/packages/5f/48/905896b1eb8a05630d20333d1d8ffd162394127b74ce0b0784ae04498d32/rpds_py-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3896fa1be39912cf0757753826bc8bdc8ca331a28a7c4ae46b7a21280b06bb85", size = 561011, upload-time = "2025-11-30T20:22:11.309Z" }, + { url = "https://files.pythonhosted.org/packages/22/16/cd3027c7e279d22e5eb431dd3c0fbc677bed58797fe7581e148f3f68818b/rpds_py-0.30.0-cp311-cp311-win32.whl", hash = "sha256:55f66022632205940f1827effeff17c4fa7ae1953d2b74a8581baaefb7d16f8c", size = 221406, upload-time = "2025-11-30T20:22:13.101Z" }, + { url = "https://files.pythonhosted.org/packages/fa/5b/e7b7aa136f28462b344e652ee010d4de26ee9fd16f1bfd5811f5153ccf89/rpds_py-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:a51033ff701fca756439d641c0ad09a41d9242fa69121c7d8769604a0a629825", size = 236024, upload-time = "2025-11-30T20:22:14.853Z" }, + { url = "https://files.pythonhosted.org/packages/14/a6/364bba985e4c13658edb156640608f2c9e1d3ea3c81b27aa9d889fff0e31/rpds_py-0.30.0-cp311-cp311-win_arm64.whl", hash = "sha256:47b0ef6231c58f506ef0b74d44e330405caa8428e770fec25329ed2cb971a229", size = 229069, upload-time = "2025-11-30T20:22:16.577Z" }, + { url = "https://files.pythonhosted.org/packages/03/e7/98a2f4ac921d82f33e03f3835f5bf3a4a40aa1bfdc57975e74a97b2b4bdd/rpds_py-0.30.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a161f20d9a43006833cd7068375a94d035714d73a172b681d8881820600abfad", size = 375086, upload-time = "2025-11-30T20:22:17.93Z" }, + { url = "https://files.pythonhosted.org/packages/4d/a1/bca7fd3d452b272e13335db8d6b0b3ecde0f90ad6f16f3328c6fb150c889/rpds_py-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6abc8880d9d036ecaafe709079969f56e876fcf107f7a8e9920ba6d5a3878d05", size = 359053, upload-time = "2025-11-30T20:22:19.297Z" }, + { url = "https://files.pythonhosted.org/packages/65/1c/ae157e83a6357eceff62ba7e52113e3ec4834a84cfe07fa4b0757a7d105f/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca28829ae5f5d569bb62a79512c842a03a12576375d5ece7d2cadf8abe96ec28", size = 390763, upload-time = "2025-11-30T20:22:21.661Z" }, + { url = "https://files.pythonhosted.org/packages/d4/36/eb2eb8515e2ad24c0bd43c3ee9cd74c33f7ca6430755ccdb240fd3144c44/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1010ed9524c73b94d15919ca4d41d8780980e1765babf85f9a2f90d247153dd", size = 408951, upload-time = "2025-11-30T20:22:23.408Z" }, + { url = "https://files.pythonhosted.org/packages/d6/65/ad8dc1784a331fabbd740ef6f71ce2198c7ed0890dab595adb9ea2d775a1/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8d1736cfb49381ba528cd5baa46f82fdc65c06e843dab24dd70b63d09121b3f", size = 514622, upload-time = "2025-11-30T20:22:25.16Z" }, + { url = "https://files.pythonhosted.org/packages/63/8e/0cfa7ae158e15e143fe03993b5bcd743a59f541f5952e1546b1ac1b5fd45/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d948b135c4693daff7bc2dcfc4ec57237a29bd37e60c2fabf5aff2bbacf3e2f1", size = 414492, upload-time = "2025-11-30T20:22:26.505Z" }, + { url = "https://files.pythonhosted.org/packages/60/1b/6f8f29f3f995c7ffdde46a626ddccd7c63aefc0efae881dc13b6e5d5bb16/rpds_py-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47f236970bccb2233267d89173d3ad2703cd36a0e2a6e92d0560d333871a3d23", size = 394080, upload-time = "2025-11-30T20:22:27.934Z" }, + { url = "https://files.pythonhosted.org/packages/6d/d5/a266341051a7a3ca2f4b750a3aa4abc986378431fc2da508c5034d081b70/rpds_py-0.30.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:2e6ecb5a5bcacf59c3f912155044479af1d0b6681280048b338b28e364aca1f6", size = 408680, upload-time = "2025-11-30T20:22:29.341Z" }, + { url = "https://files.pythonhosted.org/packages/10/3b/71b725851df9ab7a7a4e33cf36d241933da66040d195a84781f49c50490c/rpds_py-0.30.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a8fa71a2e078c527c3e9dc9fc5a98c9db40bcc8a92b4e8858e36d329f8684b51", size = 423589, upload-time = "2025-11-30T20:22:31.469Z" }, + { url = "https://files.pythonhosted.org/packages/00/2b/e59e58c544dc9bd8bd8384ecdb8ea91f6727f0e37a7131baeff8d6f51661/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:73c67f2db7bc334e518d097c6d1e6fed021bbc9b7d678d6cc433478365d1d5f5", size = 573289, upload-time = "2025-11-30T20:22:32.997Z" }, + { url = "https://files.pythonhosted.org/packages/da/3e/a18e6f5b460893172a7d6a680e86d3b6bc87a54c1f0b03446a3c8c7b588f/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:5ba103fb455be00f3b1c2076c9d4264bfcb037c976167a6047ed82f23153f02e", size = 599737, upload-time = "2025-11-30T20:22:34.419Z" }, + { url = "https://files.pythonhosted.org/packages/5c/e2/714694e4b87b85a18e2c243614974413c60aa107fd815b8cbc42b873d1d7/rpds_py-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7cee9c752c0364588353e627da8a7e808a66873672bcb5f52890c33fd965b394", size = 563120, upload-time = "2025-11-30T20:22:35.903Z" }, + { url = "https://files.pythonhosted.org/packages/6f/ab/d5d5e3bcedb0a77f4f613706b750e50a5a3ba1c15ccd3665ecc636c968fd/rpds_py-0.30.0-cp312-cp312-win32.whl", hash = "sha256:1ab5b83dbcf55acc8b08fc62b796ef672c457b17dbd7820a11d6c52c06839bdf", size = 223782, upload-time = "2025-11-30T20:22:37.271Z" }, + { url = "https://files.pythonhosted.org/packages/39/3b/f786af9957306fdc38a74cef405b7b93180f481fb48453a114bb6465744a/rpds_py-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:a090322ca841abd453d43456ac34db46e8b05fd9b3b4ac0c78bcde8b089f959b", size = 240463, upload-time = "2025-11-30T20:22:39.021Z" }, + { url = "https://files.pythonhosted.org/packages/f3/d2/b91dc748126c1559042cfe41990deb92c4ee3e2b415f6b5234969ffaf0cc/rpds_py-0.30.0-cp312-cp312-win_arm64.whl", hash = "sha256:669b1805bd639dd2989b281be2cfd951c6121b65e729d9b843e9639ef1fd555e", size = 230868, upload-time = "2025-11-30T20:22:40.493Z" }, + { url = "https://files.pythonhosted.org/packages/ed/dc/d61221eb88ff410de3c49143407f6f3147acf2538c86f2ab7ce65ae7d5f9/rpds_py-0.30.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f83424d738204d9770830d35290ff3273fbb02b41f919870479fab14b9d303b2", size = 374887, upload-time = "2025-11-30T20:22:41.812Z" }, + { url = "https://files.pythonhosted.org/packages/fd/32/55fb50ae104061dbc564ef15cc43c013dc4a9f4527a1f4d99baddf56fe5f/rpds_py-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e7536cd91353c5273434b4e003cbda89034d67e7710eab8761fd918ec6c69cf8", size = 358904, upload-time = "2025-11-30T20:22:43.479Z" }, + { url = "https://files.pythonhosted.org/packages/58/70/faed8186300e3b9bdd138d0273109784eea2396c68458ed580f885dfe7ad/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2771c6c15973347f50fece41fc447c054b7ac2ae0502388ce3b6738cd366e3d4", size = 389945, upload-time = "2025-11-30T20:22:44.819Z" }, + { url = "https://files.pythonhosted.org/packages/bd/a8/073cac3ed2c6387df38f71296d002ab43496a96b92c823e76f46b8af0543/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0a59119fc6e3f460315fe9d08149f8102aa322299deaa5cab5b40092345c2136", size = 407783, upload-time = "2025-11-30T20:22:46.103Z" }, + { url = "https://files.pythonhosted.org/packages/77/57/5999eb8c58671f1c11eba084115e77a8899d6e694d2a18f69f0ba471ec8b/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76fec018282b4ead0364022e3c54b60bf368b9d926877957a8624b58419169b7", size = 515021, upload-time = "2025-11-30T20:22:47.458Z" }, + { url = "https://files.pythonhosted.org/packages/e0/af/5ab4833eadc36c0a8ed2bc5c0de0493c04f6c06de223170bd0798ff98ced/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:692bef75a5525db97318e8cd061542b5a79812d711ea03dbc1f6f8dbb0c5f0d2", size = 414589, upload-time = "2025-11-30T20:22:48.872Z" }, + { url = "https://files.pythonhosted.org/packages/b7/de/f7192e12b21b9e9a68a6d0f249b4af3fdcdff8418be0767a627564afa1f1/rpds_py-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9027da1ce107104c50c81383cae773ef5c24d296dd11c99e2629dbd7967a20c6", size = 394025, upload-time = "2025-11-30T20:22:50.196Z" }, + { url = "https://files.pythonhosted.org/packages/91/c4/fc70cd0249496493500e7cc2de87504f5aa6509de1e88623431fec76d4b6/rpds_py-0.30.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:9cf69cdda1f5968a30a359aba2f7f9aa648a9ce4b580d6826437f2b291cfc86e", size = 408895, upload-time = "2025-11-30T20:22:51.87Z" }, + { url = "https://files.pythonhosted.org/packages/58/95/d9275b05ab96556fefff73a385813eb66032e4c99f411d0795372d9abcea/rpds_py-0.30.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a4796a717bf12b9da9d3ad002519a86063dcac8988b030e405704ef7d74d2d9d", size = 422799, upload-time = "2025-11-30T20:22:53.341Z" }, + { url = "https://files.pythonhosted.org/packages/06/c1/3088fc04b6624eb12a57eb814f0d4997a44b0d208d6cace713033ff1a6ba/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5d4c2aa7c50ad4728a094ebd5eb46c452e9cb7edbfdb18f9e1221f597a73e1e7", size = 572731, upload-time = "2025-11-30T20:22:54.778Z" }, + { url = "https://files.pythonhosted.org/packages/d8/42/c612a833183b39774e8ac8fecae81263a68b9583ee343db33ab571a7ce55/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ba81a9203d07805435eb06f536d95a266c21e5b2dfbf6517748ca40c98d19e31", size = 599027, upload-time = "2025-11-30T20:22:56.212Z" }, + { url = "https://files.pythonhosted.org/packages/5f/60/525a50f45b01d70005403ae0e25f43c0384369ad24ffe46e8d9068b50086/rpds_py-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:945dccface01af02675628334f7cf49c2af4c1c904748efc5cf7bbdf0b579f95", size = 563020, upload-time = "2025-11-30T20:22:58.2Z" }, + { url = "https://files.pythonhosted.org/packages/0b/5d/47c4655e9bcd5ca907148535c10e7d489044243cc9941c16ed7cd53be91d/rpds_py-0.30.0-cp313-cp313-win32.whl", hash = "sha256:b40fb160a2db369a194cb27943582b38f79fc4887291417685f3ad693c5a1d5d", size = 223139, upload-time = "2025-11-30T20:23:00.209Z" }, + { url = "https://files.pythonhosted.org/packages/f2/e1/485132437d20aa4d3e1d8b3fb5a5e65aa8139f1e097080c2a8443201742c/rpds_py-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:806f36b1b605e2d6a72716f321f20036b9489d29c51c91f4dd29a3e3afb73b15", size = 240224, upload-time = "2025-11-30T20:23:02.008Z" }, + { url = "https://files.pythonhosted.org/packages/24/95/ffd128ed1146a153d928617b0ef673960130be0009c77d8fbf0abe306713/rpds_py-0.30.0-cp313-cp313-win_arm64.whl", hash = "sha256:d96c2086587c7c30d44f31f42eae4eac89b60dabbac18c7669be3700f13c3ce1", size = 230645, upload-time = "2025-11-30T20:23:03.43Z" }, + { url = "https://files.pythonhosted.org/packages/ff/1b/b10de890a0def2a319a2626334a7f0ae388215eb60914dbac8a3bae54435/rpds_py-0.30.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:eb0b93f2e5c2189ee831ee43f156ed34e2a89a78a66b98cadad955972548be5a", size = 364443, upload-time = "2025-11-30T20:23:04.878Z" }, + { url = "https://files.pythonhosted.org/packages/0d/bf/27e39f5971dc4f305a4fb9c672ca06f290f7c4e261c568f3dea16a410d47/rpds_py-0.30.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:922e10f31f303c7c920da8981051ff6d8c1a56207dbdf330d9047f6d30b70e5e", size = 353375, upload-time = "2025-11-30T20:23:06.342Z" }, + { url = "https://files.pythonhosted.org/packages/40/58/442ada3bba6e8e6615fc00483135c14a7538d2ffac30e2d933ccf6852232/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdc62c8286ba9bf7f47befdcea13ea0e26bf294bda99758fd90535cbaf408000", size = 383850, upload-time = "2025-11-30T20:23:07.825Z" }, + { url = "https://files.pythonhosted.org/packages/14/14/f59b0127409a33c6ef6f5c1ebd5ad8e32d7861c9c7adfa9a624fc3889f6c/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47f9a91efc418b54fb8190a6b4aa7813a23fb79c51f4bb84e418f5476c38b8db", size = 392812, upload-time = "2025-11-30T20:23:09.228Z" }, + { url = "https://files.pythonhosted.org/packages/b3/66/e0be3e162ac299b3a22527e8913767d869e6cc75c46bd844aa43fb81ab62/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1f3587eb9b17f3789ad50824084fa6f81921bbf9a795826570bda82cb3ed91f2", size = 517841, upload-time = "2025-11-30T20:23:11.186Z" }, + { url = "https://files.pythonhosted.org/packages/3d/55/fa3b9cf31d0c963ecf1ba777f7cf4b2a2c976795ac430d24a1f43d25a6ba/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39c02563fc592411c2c61d26b6c5fe1e51eaa44a75aa2c8735ca88b0d9599daa", size = 408149, upload-time = "2025-11-30T20:23:12.864Z" }, + { url = "https://files.pythonhosted.org/packages/60/ca/780cf3b1a32b18c0f05c441958d3758f02544f1d613abf9488cd78876378/rpds_py-0.30.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51a1234d8febafdfd33a42d97da7a43f5dcb120c1060e352a3fbc0c6d36e2083", size = 383843, upload-time = "2025-11-30T20:23:14.638Z" }, + { url = "https://files.pythonhosted.org/packages/82/86/d5f2e04f2aa6247c613da0c1dd87fcd08fa17107e858193566048a1e2f0a/rpds_py-0.30.0-cp313-cp313t-manylinux_2_31_riscv64.whl", hash = "sha256:eb2c4071ab598733724c08221091e8d80e89064cd472819285a9ab0f24bcedb9", size = 396507, upload-time = "2025-11-30T20:23:16.105Z" }, + { url = "https://files.pythonhosted.org/packages/4b/9a/453255d2f769fe44e07ea9785c8347edaf867f7026872e76c1ad9f7bed92/rpds_py-0.30.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bdfdb946967d816e6adf9a3d8201bfad269c67efe6cefd7093ef959683c8de0", size = 414949, upload-time = "2025-11-30T20:23:17.539Z" }, + { url = "https://files.pythonhosted.org/packages/a3/31/622a86cdc0c45d6df0e9ccb6becdba5074735e7033c20e401a6d9d0e2ca0/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:c77afbd5f5250bf27bf516c7c4a016813eb2d3e116139aed0096940c5982da94", size = 565790, upload-time = "2025-11-30T20:23:19.029Z" }, + { url = "https://files.pythonhosted.org/packages/1c/5d/15bbf0fb4a3f58a3b1c67855ec1efcc4ceaef4e86644665fff03e1b66d8d/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:61046904275472a76c8c90c9ccee9013d70a6d0f73eecefd38c1ae7c39045a08", size = 590217, upload-time = "2025-11-30T20:23:20.885Z" }, + { url = "https://files.pythonhosted.org/packages/6d/61/21b8c41f68e60c8cc3b2e25644f0e3681926020f11d06ab0b78e3c6bbff1/rpds_py-0.30.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c5f36a861bc4b7da6516dbdf302c55313afa09b81931e8280361a4f6c9a2d27", size = 555806, upload-time = "2025-11-30T20:23:22.488Z" }, + { url = "https://files.pythonhosted.org/packages/f9/39/7e067bb06c31de48de3eb200f9fc7c58982a4d3db44b07e73963e10d3be9/rpds_py-0.30.0-cp313-cp313t-win32.whl", hash = "sha256:3d4a69de7a3e50ffc214ae16d79d8fbb0922972da0356dcf4d0fdca2878559c6", size = 211341, upload-time = "2025-11-30T20:23:24.449Z" }, + { url = "https://files.pythonhosted.org/packages/0a/4d/222ef0b46443cf4cf46764d9c630f3fe4abaa7245be9417e56e9f52b8f65/rpds_py-0.30.0-cp313-cp313t-win_amd64.whl", hash = "sha256:f14fc5df50a716f7ece6a80b6c78bb35ea2ca47c499e422aa4463455dd96d56d", size = 225768, upload-time = "2025-11-30T20:23:25.908Z" }, + { url = "https://files.pythonhosted.org/packages/86/81/dad16382ebbd3d0e0328776d8fd7ca94220e4fa0798d1dc5e7da48cb3201/rpds_py-0.30.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:68f19c879420aa08f61203801423f6cd5ac5f0ac4ac82a2368a9fcd6a9a075e0", size = 362099, upload-time = "2025-11-30T20:23:27.316Z" }, + { url = "https://files.pythonhosted.org/packages/2b/60/19f7884db5d5603edf3c6bce35408f45ad3e97e10007df0e17dd57af18f8/rpds_py-0.30.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ec7c4490c672c1a0389d319b3a9cfcd098dcdc4783991553c332a15acf7249be", size = 353192, upload-time = "2025-11-30T20:23:29.151Z" }, + { url = "https://files.pythonhosted.org/packages/bf/c4/76eb0e1e72d1a9c4703c69607cec123c29028bff28ce41588792417098ac/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f251c812357a3fed308d684a5079ddfb9d933860fc6de89f2b7ab00da481e65f", size = 384080, upload-time = "2025-11-30T20:23:30.785Z" }, + { url = "https://files.pythonhosted.org/packages/72/87/87ea665e92f3298d1b26d78814721dc39ed8d2c74b86e83348d6b48a6f31/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac98b175585ecf4c0348fd7b29c3864bda53b805c773cbf7bfdaffc8070c976f", size = 394841, upload-time = "2025-11-30T20:23:32.209Z" }, + { url = "https://files.pythonhosted.org/packages/77/ad/7783a89ca0587c15dcbf139b4a8364a872a25f861bdb88ed99f9b0dec985/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e62880792319dbeb7eb866547f2e35973289e7d5696c6e295476448f5b63c87", size = 516670, upload-time = "2025-11-30T20:23:33.742Z" }, + { url = "https://files.pythonhosted.org/packages/5b/3c/2882bdac942bd2172f3da574eab16f309ae10a3925644e969536553cb4ee/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e7fc54e0900ab35d041b0601431b0a0eb495f0851a0639b6ef90f7741b39a18", size = 408005, upload-time = "2025-11-30T20:23:35.253Z" }, + { url = "https://files.pythonhosted.org/packages/ce/81/9a91c0111ce1758c92516a3e44776920b579d9a7c09b2b06b642d4de3f0f/rpds_py-0.30.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47e77dc9822d3ad616c3d5759ea5631a75e5809d5a28707744ef79d7a1bcfcad", size = 382112, upload-time = "2025-11-30T20:23:36.842Z" }, + { url = "https://files.pythonhosted.org/packages/cf/8e/1da49d4a107027e5fbc64daeab96a0706361a2918da10cb41769244b805d/rpds_py-0.30.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:b4dc1a6ff022ff85ecafef7979a2c6eb423430e05f1165d6688234e62ba99a07", size = 399049, upload-time = "2025-11-30T20:23:38.343Z" }, + { url = "https://files.pythonhosted.org/packages/df/5a/7ee239b1aa48a127570ec03becbb29c9d5a9eb092febbd1699d567cae859/rpds_py-0.30.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4559c972db3a360808309e06a74628b95eaccbf961c335c8fe0d590cf587456f", size = 415661, upload-time = "2025-11-30T20:23:40.263Z" }, + { url = "https://files.pythonhosted.org/packages/70/ea/caa143cf6b772f823bc7929a45da1fa83569ee49b11d18d0ada7f5ee6fd6/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:0ed177ed9bded28f8deb6ab40c183cd1192aa0de40c12f38be4d59cd33cb5c65", size = 565606, upload-time = "2025-11-30T20:23:42.186Z" }, + { url = "https://files.pythonhosted.org/packages/64/91/ac20ba2d69303f961ad8cf55bf7dbdb4763f627291ba3d0d7d67333cced9/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_i686.whl", hash = "sha256:ad1fa8db769b76ea911cb4e10f049d80bf518c104f15b3edb2371cc65375c46f", size = 591126, upload-time = "2025-11-30T20:23:44.086Z" }, + { url = "https://files.pythonhosted.org/packages/21/20/7ff5f3c8b00c8a95f75985128c26ba44503fb35b8e0259d812766ea966c7/rpds_py-0.30.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:46e83c697b1f1c72b50e5ee5adb4353eef7406fb3f2043d64c33f20ad1c2fc53", size = 553371, upload-time = "2025-11-30T20:23:46.004Z" }, + { url = "https://files.pythonhosted.org/packages/72/c7/81dadd7b27c8ee391c132a6b192111ca58d866577ce2d9b0ca157552cce0/rpds_py-0.30.0-cp314-cp314-win32.whl", hash = "sha256:ee454b2a007d57363c2dfd5b6ca4a5d7e2c518938f8ed3b706e37e5d470801ed", size = 215298, upload-time = "2025-11-30T20:23:47.696Z" }, + { url = "https://files.pythonhosted.org/packages/3e/d2/1aaac33287e8cfb07aab2e6b8ac1deca62f6f65411344f1433c55e6f3eb8/rpds_py-0.30.0-cp314-cp314-win_amd64.whl", hash = "sha256:95f0802447ac2d10bcc69f6dc28fe95fdf17940367b21d34e34c737870758950", size = 228604, upload-time = "2025-11-30T20:23:49.501Z" }, + { url = "https://files.pythonhosted.org/packages/e8/95/ab005315818cc519ad074cb7784dae60d939163108bd2b394e60dc7b5461/rpds_py-0.30.0-cp314-cp314-win_arm64.whl", hash = "sha256:613aa4771c99f03346e54c3f038e4cc574ac09a3ddfb0e8878487335e96dead6", size = 222391, upload-time = "2025-11-30T20:23:50.96Z" }, + { url = "https://files.pythonhosted.org/packages/9e/68/154fe0194d83b973cdedcdcc88947a2752411165930182ae41d983dcefa6/rpds_py-0.30.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:7e6ecfcb62edfd632e56983964e6884851786443739dbfe3582947e87274f7cb", size = 364868, upload-time = "2025-11-30T20:23:52.494Z" }, + { url = "https://files.pythonhosted.org/packages/83/69/8bbc8b07ec854d92a8b75668c24d2abcb1719ebf890f5604c61c9369a16f/rpds_py-0.30.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a1d0bc22a7cdc173fedebb73ef81e07faef93692b8c1ad3733b67e31e1b6e1b8", size = 353747, upload-time = "2025-11-30T20:23:54.036Z" }, + { url = "https://files.pythonhosted.org/packages/ab/00/ba2e50183dbd9abcce9497fa5149c62b4ff3e22d338a30d690f9af970561/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d08f00679177226c4cb8c5265012eea897c8ca3b93f429e546600c971bcbae7", size = 383795, upload-time = "2025-11-30T20:23:55.556Z" }, + { url = "https://files.pythonhosted.org/packages/05/6f/86f0272b84926bcb0e4c972262f54223e8ecc556b3224d281e6598fc9268/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5965af57d5848192c13534f90f9dd16464f3c37aaf166cc1da1cae1fd5a34898", size = 393330, upload-time = "2025-11-30T20:23:57.033Z" }, + { url = "https://files.pythonhosted.org/packages/cb/e9/0e02bb2e6dc63d212641da45df2b0bf29699d01715913e0d0f017ee29438/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a4e86e34e9ab6b667c27f3211ca48f73dba7cd3d90f8d5b11be56e5dbc3fb4e", size = 518194, upload-time = "2025-11-30T20:23:58.637Z" }, + { url = "https://files.pythonhosted.org/packages/ee/ca/be7bca14cf21513bdf9c0606aba17d1f389ea2b6987035eb4f62bd923f25/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5d3e6b26f2c785d65cc25ef1e5267ccbe1b069c5c21b8cc724efee290554419", size = 408340, upload-time = "2025-11-30T20:24:00.2Z" }, + { url = "https://files.pythonhosted.org/packages/c2/c7/736e00ebf39ed81d75544c0da6ef7b0998f8201b369acf842f9a90dc8fce/rpds_py-0.30.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:626a7433c34566535b6e56a1b39a7b17ba961e97ce3b80ec62e6f1312c025551", size = 383765, upload-time = "2025-11-30T20:24:01.759Z" }, + { url = "https://files.pythonhosted.org/packages/4a/3f/da50dfde9956aaf365c4adc9533b100008ed31aea635f2b8d7b627e25b49/rpds_py-0.30.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:acd7eb3f4471577b9b5a41baf02a978e8bdeb08b4b355273994f8b87032000a8", size = 396834, upload-time = "2025-11-30T20:24:03.687Z" }, + { url = "https://files.pythonhosted.org/packages/4e/00/34bcc2565b6020eab2623349efbdec810676ad571995911f1abdae62a3a0/rpds_py-0.30.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fe5fa731a1fa8a0a56b0977413f8cacac1768dad38d16b3a296712709476fbd5", size = 415470, upload-time = "2025-11-30T20:24:05.232Z" }, + { url = "https://files.pythonhosted.org/packages/8c/28/882e72b5b3e6f718d5453bd4d0d9cf8df36fddeb4ddbbab17869d5868616/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:74a3243a411126362712ee1524dfc90c650a503502f135d54d1b352bd01f2404", size = 565630, upload-time = "2025-11-30T20:24:06.878Z" }, + { url = "https://files.pythonhosted.org/packages/3b/97/04a65539c17692de5b85c6e293520fd01317fd878ea1995f0367d4532fb1/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_i686.whl", hash = "sha256:3e8eeb0544f2eb0d2581774be4c3410356eba189529a6b3e36bbbf9696175856", size = 591148, upload-time = "2025-11-30T20:24:08.445Z" }, + { url = "https://files.pythonhosted.org/packages/85/70/92482ccffb96f5441aab93e26c4d66489eb599efdcf96fad90c14bbfb976/rpds_py-0.30.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:dbd936cde57abfee19ab3213cf9c26be06d60750e60a8e4dd85d1ab12c8b1f40", size = 556030, upload-time = "2025-11-30T20:24:10.956Z" }, + { url = "https://files.pythonhosted.org/packages/20/53/7c7e784abfa500a2b6b583b147ee4bb5a2b3747a9166bab52fec4b5b5e7d/rpds_py-0.30.0-cp314-cp314t-win32.whl", hash = "sha256:dc824125c72246d924f7f796b4f63c1e9dc810c7d9e2355864b3c3a73d59ade0", size = 211570, upload-time = "2025-11-30T20:24:12.735Z" }, + { url = "https://files.pythonhosted.org/packages/d0/02/fa464cdfbe6b26e0600b62c528b72d8608f5cc49f96b8d6e38c95d60c676/rpds_py-0.30.0-cp314-cp314t-win_amd64.whl", hash = "sha256:27f4b0e92de5bfbc6f86e43959e6edd1425c33b5e69aab0984a72047f2bcf1e3", size = 226532, upload-time = "2025-11-30T20:24:14.634Z" }, + { url = "https://files.pythonhosted.org/packages/69/71/3f34339ee70521864411f8b6992e7ab13ac30d8e4e3309e07c7361767d91/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c2262bdba0ad4fc6fb5545660673925c2d2a5d9e2e0fb603aad545427be0fc58", size = 372292, upload-time = "2025-11-30T20:24:16.537Z" }, + { url = "https://files.pythonhosted.org/packages/57/09/f183df9b8f2d66720d2ef71075c59f7e1b336bec7ee4c48f0a2b06857653/rpds_py-0.30.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:ee6af14263f25eedc3bb918a3c04245106a42dfd4f5c2285ea6f997b1fc3f89a", size = 362128, upload-time = "2025-11-30T20:24:18.086Z" }, + { url = "https://files.pythonhosted.org/packages/7a/68/5c2594e937253457342e078f0cc1ded3dd7b2ad59afdbf2d354869110a02/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3adbb8179ce342d235c31ab8ec511e66c73faa27a47e076ccc92421add53e2bb", size = 391542, upload-time = "2025-11-30T20:24:20.092Z" }, + { url = "https://files.pythonhosted.org/packages/49/5c/31ef1afd70b4b4fbdb2800249f34c57c64beb687495b10aec0365f53dfc4/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:250fa00e9543ac9b97ac258bd37367ff5256666122c2d0f2bc97577c60a1818c", size = 404004, upload-time = "2025-11-30T20:24:22.231Z" }, + { url = "https://files.pythonhosted.org/packages/e3/63/0cfbea38d05756f3440ce6534d51a491d26176ac045e2707adc99bb6e60a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9854cf4f488b3d57b9aaeb105f06d78e5529d3145b1e4a41750167e8c213c6d3", size = 527063, upload-time = "2025-11-30T20:24:24.302Z" }, + { url = "https://files.pythonhosted.org/packages/42/e6/01e1f72a2456678b0f618fc9a1a13f882061690893c192fcad9f2926553a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:993914b8e560023bc0a8bf742c5f303551992dcb85e247b1e5c7f4a7d145bda5", size = 413099, upload-time = "2025-11-30T20:24:25.916Z" }, + { url = "https://files.pythonhosted.org/packages/b8/25/8df56677f209003dcbb180765520c544525e3ef21ea72279c98b9aa7c7fb/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58edca431fb9b29950807e301826586e5bbf24163677732429770a697ffe6738", size = 392177, upload-time = "2025-11-30T20:24:27.834Z" }, + { url = "https://files.pythonhosted.org/packages/4a/b4/0a771378c5f16f8115f796d1f437950158679bcd2a7c68cf251cfb00ed5b/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_31_riscv64.whl", hash = "sha256:dea5b552272a944763b34394d04577cf0f9bd013207bc32323b5a89a53cf9c2f", size = 406015, upload-time = "2025-11-30T20:24:29.457Z" }, + { url = "https://files.pythonhosted.org/packages/36/d8/456dbba0af75049dc6f63ff295a2f92766b9d521fa00de67a2bd6427d57a/rpds_py-0.30.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba3af48635eb83d03f6c9735dfb21785303e73d22ad03d489e88adae6eab8877", size = 423736, upload-time = "2025-11-30T20:24:31.22Z" }, + { url = "https://files.pythonhosted.org/packages/13/64/b4d76f227d5c45a7e0b796c674fd81b0a6c4fbd48dc29271857d8219571c/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:dff13836529b921e22f15cb099751209a60009731a68519630a24d61f0b1b30a", size = 573981, upload-time = "2025-11-30T20:24:32.934Z" }, + { url = "https://files.pythonhosted.org/packages/20/91/092bacadeda3edf92bf743cc96a7be133e13a39cdbfd7b5082e7ab638406/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1b151685b23929ab7beec71080a8889d4d6d9fa9a983d213f07121205d48e2c4", size = 599782, upload-time = "2025-11-30T20:24:35.169Z" }, + { url = "https://files.pythonhosted.org/packages/d1/b7/b95708304cd49b7b6f82fdd039f1748b66ec2b21d6a45180910802f1abf1/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e", size = 562191, upload-time = "2025-11-30T20:24:36.853Z" }, +] + +[[package]] +name = "scikit-image" +version = "0.25.2" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "imageio", marker = "python_full_version < '3.11'" }, + { name = "lazy-loader", marker = "python_full_version < '3.11'" }, + { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "packaging", marker = "python_full_version < '3.11'" }, + { name = "pillow", marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "tifffile", version = "2025.5.10", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c7/a8/3c0f256012b93dd2cb6fda9245e9f4bff7dc0486880b248005f15ea2255e/scikit_image-0.25.2.tar.gz", hash = "sha256:e5a37e6cd4d0c018a7a55b9d601357e3382826d3888c10d0213fc63bff977dde", size = 22693594, upload-time = "2025-02-18T18:05:24.538Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/11/cb/016c63f16065c2d333c8ed0337e18a5cdf9bc32d402e4f26b0db362eb0e2/scikit_image-0.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d3278f586793176599df6a4cf48cb6beadae35c31e58dc01a98023af3dc31c78", size = 13988922, upload-time = "2025-02-18T18:04:11.069Z" }, + { url = "https://files.pythonhosted.org/packages/30/ca/ff4731289cbed63c94a0c9a5b672976603118de78ed21910d9060c82e859/scikit_image-0.25.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5c311069899ce757d7dbf1d03e32acb38bb06153236ae77fcd820fd62044c063", size = 13192698, upload-time = "2025-02-18T18:04:15.362Z" }, + { url = "https://files.pythonhosted.org/packages/39/6d/a2aadb1be6d8e149199bb9b540ccde9e9622826e1ab42fe01de4c35ab918/scikit_image-0.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be455aa7039a6afa54e84f9e38293733a2622b8c2fb3362b822d459cc5605e99", size = 14153634, upload-time = "2025-02-18T18:04:18.496Z" }, + { url = "https://files.pythonhosted.org/packages/96/08/916e7d9ee4721031b2f625db54b11d8379bd51707afaa3e5a29aecf10bc4/scikit_image-0.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4c464b90e978d137330be433df4e76d92ad3c5f46a22f159520ce0fdbea8a09", size = 14767545, upload-time = "2025-02-18T18:04:22.556Z" }, + { url = "https://files.pythonhosted.org/packages/5f/ee/c53a009e3997dda9d285402f19226fbd17b5b3cb215da391c4ed084a1424/scikit_image-0.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:60516257c5a2d2f74387c502aa2f15a0ef3498fbeaa749f730ab18f0a40fd054", size = 12812908, upload-time = "2025-02-18T18:04:26.364Z" }, + { url = "https://files.pythonhosted.org/packages/c4/97/3051c68b782ee3f1fb7f8f5bb7d535cf8cb92e8aae18fa9c1cdf7e15150d/scikit_image-0.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f4bac9196fb80d37567316581c6060763b0f4893d3aca34a9ede3825bc035b17", size = 14003057, upload-time = "2025-02-18T18:04:30.395Z" }, + { url = "https://files.pythonhosted.org/packages/19/23/257fc696c562639826065514d551b7b9b969520bd902c3a8e2fcff5b9e17/scikit_image-0.25.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d989d64ff92e0c6c0f2018c7495a5b20e2451839299a018e0e5108b2680f71e0", size = 13180335, upload-time = "2025-02-18T18:04:33.449Z" }, + { url = "https://files.pythonhosted.org/packages/ef/14/0c4a02cb27ca8b1e836886b9ec7c9149de03053650e9e2ed0625f248dd92/scikit_image-0.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2cfc96b27afe9a05bc92f8c6235321d3a66499995675b27415e0d0c76625173", size = 14144783, upload-time = "2025-02-18T18:04:36.594Z" }, + { url = "https://files.pythonhosted.org/packages/dd/9b/9fb556463a34d9842491d72a421942c8baff4281025859c84fcdb5e7e602/scikit_image-0.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24cc986e1f4187a12aa319f777b36008764e856e5013666a4a83f8df083c2641", size = 14785376, upload-time = "2025-02-18T18:04:39.856Z" }, + { url = "https://files.pythonhosted.org/packages/de/ec/b57c500ee85885df5f2188f8bb70398481393a69de44a00d6f1d055f103c/scikit_image-0.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:b4f6b61fc2db6340696afe3db6b26e0356911529f5f6aee8c322aa5157490c9b", size = 12791698, upload-time = "2025-02-18T18:04:42.868Z" }, + { url = "https://files.pythonhosted.org/packages/35/8c/5df82881284459f6eec796a5ac2a0a304bb3384eec2e73f35cfdfcfbf20c/scikit_image-0.25.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8db8dd03663112783221bf01ccfc9512d1cc50ac9b5b0fe8f4023967564719fb", size = 13986000, upload-time = "2025-02-18T18:04:47.156Z" }, + { url = "https://files.pythonhosted.org/packages/ce/e6/93bebe1abcdce9513ffec01d8af02528b4c41fb3c1e46336d70b9ed4ef0d/scikit_image-0.25.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:483bd8cc10c3d8a7a37fae36dfa5b21e239bd4ee121d91cad1f81bba10cfb0ed", size = 13235893, upload-time = "2025-02-18T18:04:51.049Z" }, + { url = "https://files.pythonhosted.org/packages/53/4b/eda616e33f67129e5979a9eb33c710013caa3aa8a921991e6cc0b22cea33/scikit_image-0.25.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d1e80107bcf2bf1291acfc0bf0425dceb8890abe9f38d8e94e23497cbf7ee0d", size = 14178389, upload-time = "2025-02-18T18:04:54.245Z" }, + { url = "https://files.pythonhosted.org/packages/6b/b5/b75527c0f9532dd8a93e8e7cd8e62e547b9f207d4c11e24f0006e8646b36/scikit_image-0.25.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a17e17eb8562660cc0d31bb55643a4da996a81944b82c54805c91b3fe66f4824", size = 15003435, upload-time = "2025-02-18T18:04:57.586Z" }, + { url = "https://files.pythonhosted.org/packages/34/e3/49beb08ebccda3c21e871b607c1cb2f258c3fa0d2f609fed0a5ba741b92d/scikit_image-0.25.2-cp312-cp312-win_amd64.whl", hash = "sha256:bdd2b8c1de0849964dbc54037f36b4e9420157e67e45a8709a80d727f52c7da2", size = 12899474, upload-time = "2025-02-18T18:05:01.166Z" }, + { url = "https://files.pythonhosted.org/packages/e6/7c/9814dd1c637f7a0e44342985a76f95a55dd04be60154247679fd96c7169f/scikit_image-0.25.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7efa888130f6c548ec0439b1a7ed7295bc10105458a421e9bf739b457730b6da", size = 13921841, upload-time = "2025-02-18T18:05:03.963Z" }, + { url = "https://files.pythonhosted.org/packages/84/06/66a2e7661d6f526740c309e9717d3bd07b473661d5cdddef4dd978edab25/scikit_image-0.25.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dd8011efe69c3641920614d550f5505f83658fe33581e49bed86feab43a180fc", size = 13196862, upload-time = "2025-02-18T18:05:06.986Z" }, + { url = "https://files.pythonhosted.org/packages/4e/63/3368902ed79305f74c2ca8c297dfeb4307269cbe6402412668e322837143/scikit_image-0.25.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28182a9d3e2ce3c2e251383bdda68f8d88d9fff1a3ebe1eb61206595c9773341", size = 14117785, upload-time = "2025-02-18T18:05:10.69Z" }, + { url = "https://files.pythonhosted.org/packages/cd/9b/c3da56a145f52cd61a68b8465d6a29d9503bc45bc993bb45e84371c97d94/scikit_image-0.25.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8abd3c805ce6944b941cfed0406d88faeb19bab3ed3d4b50187af55cf24d147", size = 14977119, upload-time = "2025-02-18T18:05:13.871Z" }, + { url = "https://files.pythonhosted.org/packages/8a/97/5fcf332e1753831abb99a2525180d3fb0d70918d461ebda9873f66dcc12f/scikit_image-0.25.2-cp313-cp313-win_amd64.whl", hash = "sha256:64785a8acefee460ec49a354706db0b09d1f325674107d7fa3eadb663fb56d6f", size = 12885116, upload-time = "2025-02-18T18:05:17.844Z" }, + { url = "https://files.pythonhosted.org/packages/10/cc/75e9f17e3670b5ed93c32456fda823333c6279b144cd93e2c03aa06aa472/scikit_image-0.25.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330d061bd107d12f8d68f1d611ae27b3b813b8cdb0300a71d07b1379178dd4cd", size = 13862801, upload-time = "2025-02-18T18:05:20.783Z" }, +] + +[[package]] +name = "scikit-image" +version = "0.26.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "imageio", marker = "python_full_version >= '3.11'" }, + { name = "lazy-loader", marker = "python_full_version >= '3.11'" }, + { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging", marker = "python_full_version >= '3.11'" }, + { name = "pillow", marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "tifffile", version = "2026.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/a1/b4/2528bb43c67d48053a7a649a9666432dc307d66ba02e3a6d5c40f46655df/scikit_image-0.26.0.tar.gz", hash = "sha256:f5f970ab04efad85c24714321fcc91613fcb64ef2a892a13167df2f3e59199fa", size = 22729739, upload-time = "2025-12-20T17:12:21.824Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/76/16/8a407688b607f86f81f8c649bf0d68a2a6d67375f18c2d660aba20f5b648/scikit_image-0.26.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b1ede33a0fb3731457eaf53af6361e73dd510f449dac437ab54573b26788baf0", size = 12355510, upload-time = "2025-12-20T17:10:31.628Z" }, + { url = "https://files.pythonhosted.org/packages/6b/f9/7efc088ececb6f6868fd4475e16cfafc11f242ce9ab5fc3557d78b5da0d4/scikit_image-0.26.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7af7aa331c6846bd03fa28b164c18d0c3fd419dbb888fb05e958ac4257a78fdd", size = 12056334, upload-time = "2025-12-20T17:10:34.559Z" }, + { url = "https://files.pythonhosted.org/packages/9f/1e/bc7fb91fb5ff65ef42346c8b7ee8b09b04eabf89235ab7dbfdfd96cbd1ea/scikit_image-0.26.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9ea6207d9e9d21c3f464efe733121c0504e494dbdc7728649ff3e23c3c5a4953", size = 13297768, upload-time = "2025-12-20T17:10:37.733Z" }, + { url = "https://files.pythonhosted.org/packages/a5/2a/e71c1a7d90e70da67b88ccc609bd6ae54798d5847369b15d3a8052232f9d/scikit_image-0.26.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74aa5518ccea28121f57a95374581d3b979839adc25bb03f289b1bc9b99c58af", size = 13711217, upload-time = "2025-12-20T17:10:40.935Z" }, + { url = "https://files.pythonhosted.org/packages/d4/59/9637ee12c23726266b91296791465218973ce1ad3e4c56fc81e4d8e7d6e1/scikit_image-0.26.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d5c244656de905e195a904e36dbc18585e06ecf67d90f0482cbde63d7f9ad59d", size = 14337782, upload-time = "2025-12-20T17:10:43.452Z" }, + { url = "https://files.pythonhosted.org/packages/e7/5c/a3e1e0860f9294663f540c117e4bf83d55e5b47c281d475cc06227e88411/scikit_image-0.26.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:21a818ee6ca2f2131b9e04d8eb7637b5c18773ebe7b399ad23dcc5afaa226d2d", size = 14805997, upload-time = "2025-12-20T17:10:45.93Z" }, + { url = "https://files.pythonhosted.org/packages/d3/c6/2eeacf173da041a9e388975f54e5c49df750757fcfc3ee293cdbbae1ea0a/scikit_image-0.26.0-cp311-cp311-win_amd64.whl", hash = "sha256:9490360c8d3f9a7e85c8de87daf7c0c66507960cf4947bb9610d1751928721c7", size = 11878486, upload-time = "2025-12-20T17:10:48.246Z" }, + { url = "https://files.pythonhosted.org/packages/c3/a4/a852c4949b9058d585e762a66bf7e9a2cd3be4795cd940413dfbfbb0ce79/scikit_image-0.26.0-cp311-cp311-win_arm64.whl", hash = "sha256:0baa0108d2d027f34d748e84e592b78acc23e965a5de0e4bb03cf371de5c0581", size = 11346518, upload-time = "2025-12-20T17:10:50.575Z" }, + { url = "https://files.pythonhosted.org/packages/99/e8/e13757982264b33a1621628f86b587e9a73a13f5256dad49b19ba7dc9083/scikit_image-0.26.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d454b93a6fa770ac5ae2d33570f8e7a321bb80d29511ce4b6b78058ebe176e8c", size = 12376452, upload-time = "2025-12-20T17:10:52.796Z" }, + { url = "https://files.pythonhosted.org/packages/e3/be/f8dd17d0510f9911f9f17ba301f7455328bf13dae416560126d428de9568/scikit_image-0.26.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3409e89d66eff5734cd2b672d1c48d2759360057e714e1d92a11df82c87cba37", size = 12061567, upload-time = "2025-12-20T17:10:55.207Z" }, + { url = "https://files.pythonhosted.org/packages/b3/2b/c70120a6880579fb42b91567ad79feb4772f7be72e8d52fec403a3dde0c6/scikit_image-0.26.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4c717490cec9e276afb0438dd165b7c3072d6c416709cc0f9f5a4c1070d23a44", size = 13084214, upload-time = "2025-12-20T17:10:57.468Z" }, + { url = "https://files.pythonhosted.org/packages/f4/a2/70401a107d6d7466d64b466927e6b96fcefa99d57494b972608e2f8be50f/scikit_image-0.26.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7df650e79031634ac90b11e64a9eedaf5a5e06fcd09bcd03a34be01745744466", size = 13561683, upload-time = "2025-12-20T17:10:59.49Z" }, + { url = "https://files.pythonhosted.org/packages/13/a5/48bdfd92794c5002d664e0910a349d0a1504671ef5ad358150f21643c79a/scikit_image-0.26.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cefd85033e66d4ea35b525bb0937d7f42d4cdcfed2d1888e1570d5ce450d3932", size = 14112147, upload-time = "2025-12-20T17:11:02.083Z" }, + { url = "https://files.pythonhosted.org/packages/ee/b5/ac71694da92f5def5953ca99f18a10fe98eac2dd0a34079389b70b4d0394/scikit_image-0.26.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3f5bf622d7c0435884e1e141ebbe4b2804e16b2dd23ae4c6183e2ea99233be70", size = 14661625, upload-time = "2025-12-20T17:11:04.528Z" }, + { url = "https://files.pythonhosted.org/packages/23/4d/a3cc1e96f080e253dad2251bfae7587cf2b7912bcd76fd43fd366ff35a87/scikit_image-0.26.0-cp312-cp312-win_amd64.whl", hash = "sha256:abed017474593cd3056ae0fe948d07d0747b27a085e92df5474f4955dd65aec0", size = 11911059, upload-time = "2025-12-20T17:11:06.61Z" }, + { url = "https://files.pythonhosted.org/packages/35/8a/d1b8055f584acc937478abf4550d122936f420352422a1a625eef2c605d8/scikit_image-0.26.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d57e39ef67a95d26860c8caf9b14b8fb130f83b34c6656a77f191fa6d1d04d8", size = 11348740, upload-time = "2025-12-20T17:11:09.118Z" }, + { url = "https://files.pythonhosted.org/packages/4f/48/02357ffb2cca35640f33f2cfe054a4d6d5d7a229b88880a64f1e45c11f4e/scikit_image-0.26.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a2e852eccf41d2d322b8e60144e124802873a92b8d43a6f96331aa42888491c7", size = 12346329, upload-time = "2025-12-20T17:11:11.599Z" }, + { url = "https://files.pythonhosted.org/packages/67/b9/b792c577cea2c1e94cda83b135a656924fc57c428e8a6d302cd69aac1b60/scikit_image-0.26.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:98329aab3bc87db352b9887f64ce8cdb8e75f7c2daa19927f2e121b797b678d5", size = 12031726, upload-time = "2025-12-20T17:11:13.871Z" }, + { url = "https://files.pythonhosted.org/packages/07/a9/9564250dfd65cb20404a611016db52afc6268b2b371cd19c7538ea47580f/scikit_image-0.26.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:915bb3ba66455cf8adac00dc8fdf18a4cd29656aec7ddd38cb4dda90289a6f21", size = 13094910, upload-time = "2025-12-20T17:11:16.2Z" }, + { url = "https://files.pythonhosted.org/packages/a3/b8/0d8eeb5a9fd7d34ba84f8a55753a0a3e2b5b51b2a5a0ade648a8db4a62f7/scikit_image-0.26.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b36ab5e778bf50af5ff386c3ac508027dc3aaeccf2161bdf96bde6848f44d21b", size = 13660939, upload-time = "2025-12-20T17:11:18.464Z" }, + { url = "https://files.pythonhosted.org/packages/2f/d6/91d8973584d4793d4c1a847d388e34ef1218d835eeddecfc9108d735b467/scikit_image-0.26.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:09bad6a5d5949c7896c8347424c4cca899f1d11668030e5548813ab9c2865dcb", size = 14138938, upload-time = "2025-12-20T17:11:20.919Z" }, + { url = "https://files.pythonhosted.org/packages/39/9a/7e15d8dc10d6bbf212195fb39bdeb7f226c46dd53f9c63c312e111e2e175/scikit_image-0.26.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:aeb14db1ed09ad4bee4ceb9e635547a8d5f3549be67fc6c768c7f923e027e6cd", size = 14752243, upload-time = "2025-12-20T17:11:23.347Z" }, + { url = "https://files.pythonhosted.org/packages/8f/58/2b11b933097bc427e42b4a8b15f7de8f24f2bac1fd2779d2aea1431b2c31/scikit_image-0.26.0-cp313-cp313-win_amd64.whl", hash = "sha256:ac529eb9dbd5954f9aaa2e3fe9a3fd9661bfe24e134c688587d811a0233127f1", size = 11906770, upload-time = "2025-12-20T17:11:25.297Z" }, + { url = "https://files.pythonhosted.org/packages/ad/ec/96941474a18a04b69b6f6562a5bd79bd68049fa3728d3b350976eccb8b93/scikit_image-0.26.0-cp313-cp313-win_arm64.whl", hash = "sha256:a2d211bc355f59725efdcae699b93b30348a19416cc9e017f7b2fb599faf7219", size = 11342506, upload-time = "2025-12-20T17:11:27.399Z" }, + { url = "https://files.pythonhosted.org/packages/03/e5/c1a9962b0cf1952f42d32b4a2e48eed520320dbc4d2ff0b981c6fa508b6b/scikit_image-0.26.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9eefb4adad066da408a7601c4c24b07af3b472d90e08c3e7483d4e9e829d8c49", size = 12663278, upload-time = "2025-12-20T17:11:29.358Z" }, + { url = "https://files.pythonhosted.org/packages/ae/97/c1a276a59ce8e4e24482d65c1a3940d69c6b3873279193b7ebd04e5ee56b/scikit_image-0.26.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6caec76e16c970c528d15d1c757363334d5cb3069f9cea93d2bead31820511f3", size = 12405142, upload-time = "2025-12-20T17:11:31.282Z" }, + { url = "https://files.pythonhosted.org/packages/d4/4a/f1cbd1357caef6c7993f7efd514d6e53d8fd6f7fe01c4714d51614c53289/scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a07200fe09b9d99fcdab959859fe0f7db8df6333d6204344425d476850ce3604", size = 12942086, upload-time = "2025-12-20T17:11:33.683Z" }, + { url = "https://files.pythonhosted.org/packages/5b/6f/74d9fb87c5655bd64cf00b0c44dc3d6206d9002e5f6ba1c9aeb13236f6bf/scikit_image-0.26.0-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:92242351bccf391fc5df2d1529d15470019496d2498d615beb68da85fe7fdf37", size = 13265667, upload-time = "2025-12-20T17:11:36.11Z" }, + { url = "https://files.pythonhosted.org/packages/a7/73/faddc2413ae98d863f6fa2e3e14da4467dd38e788e1c23346cf1a2b06b97/scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:52c496f75a7e45844d951557f13c08c81487c6a1da2e3c9c8a39fcde958e02cc", size = 14001966, upload-time = "2025-12-20T17:11:38.55Z" }, + { url = "https://files.pythonhosted.org/packages/02/94/9f46966fa042b5d57c8cd641045372b4e0df0047dd400e77ea9952674110/scikit_image-0.26.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:20ef4a155e2e78b8ab973998e04d8a361d49d719e65412405f4dadd9155a61d9", size = 14359526, upload-time = "2025-12-20T17:11:41.087Z" }, + { url = "https://files.pythonhosted.org/packages/5d/b4/2840fe38f10057f40b1c9f8fb98a187a370936bf144a4ac23452c5ef1baf/scikit_image-0.26.0-cp313-cp313t-win_amd64.whl", hash = "sha256:c9087cf7d0e7f33ab5c46d2068d86d785e70b05400a891f73a13400f1e1faf6a", size = 12287629, upload-time = "2025-12-20T17:11:43.11Z" }, + { url = "https://files.pythonhosted.org/packages/22/ba/73b6ca70796e71f83ab222690e35a79612f0117e5aaf167151b7d46f5f2c/scikit_image-0.26.0-cp313-cp313t-win_arm64.whl", hash = "sha256:27d58bc8b2acd351f972c6508c1b557cfed80299826080a4d803dd29c51b707e", size = 11647755, upload-time = "2025-12-20T17:11:45.279Z" }, + { url = "https://files.pythonhosted.org/packages/51/44/6b744f92b37ae2833fd423cce8f806d2368859ec325a699dc30389e090b9/scikit_image-0.26.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:63af3d3a26125f796f01052052f86806da5b5e54c6abef152edb752683075a9c", size = 12365810, upload-time = "2025-12-20T17:11:47.357Z" }, + { url = "https://files.pythonhosted.org/packages/40/f5/83590d9355191f86ac663420fec741b82cc547a4afe7c4c1d986bf46e4db/scikit_image-0.26.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ce00600cd70d4562ed59f80523e18cdcc1fae0e10676498a01f73c255774aefd", size = 12075717, upload-time = "2025-12-20T17:11:49.483Z" }, + { url = "https://files.pythonhosted.org/packages/72/48/253e7cf5aee6190459fe136c614e2cbccc562deceb4af96e0863f1b8ee29/scikit_image-0.26.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6381edf972b32e4f54085449afde64365a57316637496c1325a736987083e2ab", size = 13161520, upload-time = "2025-12-20T17:11:51.58Z" }, + { url = "https://files.pythonhosted.org/packages/73/c3/cec6a3cbaadfdcc02bd6ff02f3abfe09eaa7f4d4e0a525a1e3a3f4bce49c/scikit_image-0.26.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c6624a76c6085218248154cc7e1500e6b488edcd9499004dd0d35040607d7505", size = 13684340, upload-time = "2025-12-20T17:11:53.708Z" }, + { url = "https://files.pythonhosted.org/packages/d4/0d/39a776f675d24164b3a267aa0db9f677a4cb20127660d8bf4fd7fef66817/scikit_image-0.26.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:f775f0e420faac9c2aa6757135f4eb468fb7b70e0b67fa77a5e79be3c30ee331", size = 14203839, upload-time = "2025-12-20T17:11:55.89Z" }, + { url = "https://files.pythonhosted.org/packages/ee/25/2514df226bbcedfe9b2caafa1ba7bc87231a0c339066981b182b08340e06/scikit_image-0.26.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ede4d6d255cc5da9faeb2f9ba7fedbc990abbc652db429f40a16b22e770bb578", size = 14770021, upload-time = "2025-12-20T17:11:58.014Z" }, + { url = "https://files.pythonhosted.org/packages/8d/5b/0671dc91c0c79340c3fe202f0549c7d3681eb7640fe34ab68a5f090a7c7f/scikit_image-0.26.0-cp314-cp314-win_amd64.whl", hash = "sha256:0660b83968c15293fd9135e8d860053ee19500d52bf55ca4fb09de595a1af650", size = 12023490, upload-time = "2025-12-20T17:12:00.013Z" }, + { url = "https://files.pythonhosted.org/packages/65/08/7c4cb59f91721f3de07719085212a0b3962e3e3f2d1818cbac4eeb1ea53e/scikit_image-0.26.0-cp314-cp314-win_arm64.whl", hash = "sha256:b8d14d3181c21c11170477a42542c1addc7072a90b986675a71266ad17abc37f", size = 11473782, upload-time = "2025-12-20T17:12:01.983Z" }, + { url = "https://files.pythonhosted.org/packages/49/41/65c4258137acef3d73cb561ac55512eacd7b30bb4f4a11474cad526bc5db/scikit_image-0.26.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:cde0bbd57e6795eba83cb10f71a677f7239271121dc950bc060482834a668ad1", size = 12686060, upload-time = "2025-12-20T17:12:03.886Z" }, + { url = "https://files.pythonhosted.org/packages/e7/32/76971f8727b87f1420a962406388a50e26667c31756126444baf6668f559/scikit_image-0.26.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:163e9afb5b879562b9aeda0dd45208a35316f26cc7a3aed54fd601604e5cf46f", size = 12422628, upload-time = "2025-12-20T17:12:05.921Z" }, + { url = "https://files.pythonhosted.org/packages/37/0d/996febd39f757c40ee7b01cdb861867327e5c8e5f595a634e8201462d958/scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:724f79fd9b6cb6f4a37864fe09f81f9f5d5b9646b6868109e1b100d1a7019e59", size = 12962369, upload-time = "2025-12-20T17:12:07.912Z" }, + { url = "https://files.pythonhosted.org/packages/48/b4/612d354f946c9600e7dea012723c11d47e8d455384e530f6daaaeb9bf62c/scikit_image-0.26.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3268f13310e6857508bd87202620df996199a016a1d281b309441d227c822394", size = 13272431, upload-time = "2025-12-20T17:12:10.255Z" }, + { url = "https://files.pythonhosted.org/packages/0a/6e/26c00b466e06055a086de2c6e2145fe189ccdc9a1d11ccc7de020f2591ad/scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:fac96a1f9b06cd771cbbb3cd96c5332f36d4efd839b1d8b053f79e5887acde62", size = 14016362, upload-time = "2025-12-20T17:12:12.793Z" }, + { url = "https://files.pythonhosted.org/packages/47/88/00a90402e1775634043c2a0af8a3c76ad450866d9fa444efcc43b553ba2d/scikit_image-0.26.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2c1e7bd342f43e7a97e571b3f03ba4c1293ea1a35c3f13f41efdc8a81c1dc8f2", size = 14364151, upload-time = "2025-12-20T17:12:14.909Z" }, + { url = "https://files.pythonhosted.org/packages/da/ca/918d8d306bd43beacff3b835c6d96fac0ae64c0857092f068b88db531a7c/scikit_image-0.26.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b702c3bb115e1dcf4abf5297429b5c90f2189655888cbed14921f3d26f81d3a4", size = 12413484, upload-time = "2025-12-20T17:12:17.046Z" }, + { url = "https://files.pythonhosted.org/packages/dc/cd/4da01329b5a8d47ff7ec3c99a2b02465a8017b186027590dc7425cee0b56/scikit_image-0.26.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0608aa4a9ec39e0843de10d60edb2785a30c1c47819b67866dd223ebd149acaf", size = 11769501, upload-time = "2025-12-20T17:12:19.339Z" }, +] + +[[package]] +name = "scikit-learn" +version = "1.7.2" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "joblib", marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "threadpoolctl", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/98/c2/a7855e41c9d285dfe86dc50b250978105dce513d6e459ea66a6aeb0e1e0c/scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda", size = 7193136, upload-time = "2025-09-09T08:21:29.075Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ba/3e/daed796fd69cce768b8788401cc464ea90b306fb196ae1ffed0b98182859/scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f", size = 9336221, upload-time = "2025-09-09T08:20:19.328Z" }, + { url = "https://files.pythonhosted.org/packages/1c/ce/af9d99533b24c55ff4e18d9b7b4d9919bbc6cd8f22fe7a7be01519a347d5/scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c", size = 8653834, upload-time = "2025-09-09T08:20:22.073Z" }, + { url = "https://files.pythonhosted.org/packages/58/0e/8c2a03d518fb6bd0b6b0d4b114c63d5f1db01ff0f9925d8eb10960d01c01/scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8", size = 9660938, upload-time = "2025-09-09T08:20:24.327Z" }, + { url = "https://files.pythonhosted.org/packages/2b/75/4311605069b5d220e7cf5adabb38535bd96f0079313cdbb04b291479b22a/scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18", size = 9477818, upload-time = "2025-09-09T08:20:26.845Z" }, + { url = "https://files.pythonhosted.org/packages/7f/9b/87961813c34adbca21a6b3f6b2bea344c43b30217a6d24cc437c6147f3e8/scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5", size = 8886969, upload-time = "2025-09-09T08:20:29.329Z" }, + { url = "https://files.pythonhosted.org/packages/43/83/564e141eef908a5863a54da8ca342a137f45a0bfb71d1d79704c9894c9d1/scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e", size = 9331967, upload-time = "2025-09-09T08:20:32.421Z" }, + { url = "https://files.pythonhosted.org/packages/18/d6/ba863a4171ac9d7314c4d3fc251f015704a2caeee41ced89f321c049ed83/scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1", size = 8648645, upload-time = "2025-09-09T08:20:34.436Z" }, + { url = "https://files.pythonhosted.org/packages/ef/0e/97dbca66347b8cf0ea8b529e6bb9367e337ba2e8be0ef5c1a545232abfde/scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d", size = 9715424, upload-time = "2025-09-09T08:20:36.776Z" }, + { url = "https://files.pythonhosted.org/packages/f7/32/1f3b22e3207e1d2c883a7e09abb956362e7d1bd2f14458c7de258a26ac15/scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1", size = 9509234, upload-time = "2025-09-09T08:20:38.957Z" }, + { url = "https://files.pythonhosted.org/packages/9f/71/34ddbd21f1da67c7a768146968b4d0220ee6831e4bcbad3e03dd3eae88b6/scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1", size = 8894244, upload-time = "2025-09-09T08:20:41.166Z" }, + { url = "https://files.pythonhosted.org/packages/a7/aa/3996e2196075689afb9fce0410ebdb4a09099d7964d061d7213700204409/scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96", size = 9259818, upload-time = "2025-09-09T08:20:43.19Z" }, + { url = "https://files.pythonhosted.org/packages/43/5d/779320063e88af9c4a7c2cf463ff11c21ac9c8bd730c4a294b0000b666c9/scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476", size = 8636997, upload-time = "2025-09-09T08:20:45.468Z" }, + { url = "https://files.pythonhosted.org/packages/5c/d0/0c577d9325b05594fdd33aa970bf53fb673f051a45496842caee13cfd7fe/scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b", size = 9478381, upload-time = "2025-09-09T08:20:47.982Z" }, + { url = "https://files.pythonhosted.org/packages/82/70/8bf44b933837ba8494ca0fc9a9ab60f1c13b062ad0197f60a56e2fc4c43e/scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44", size = 9300296, upload-time = "2025-09-09T08:20:50.366Z" }, + { url = "https://files.pythonhosted.org/packages/c6/99/ed35197a158f1fdc2fe7c3680e9c70d0128f662e1fee4ed495f4b5e13db0/scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290", size = 8731256, upload-time = "2025-09-09T08:20:52.627Z" }, + { url = "https://files.pythonhosted.org/packages/ae/93/a3038cb0293037fd335f77f31fe053b89c72f17b1c8908c576c29d953e84/scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7", size = 9212382, upload-time = "2025-09-09T08:20:54.731Z" }, + { url = "https://files.pythonhosted.org/packages/40/dd/9a88879b0c1104259136146e4742026b52df8540c39fec21a6383f8292c7/scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe", size = 8592042, upload-time = "2025-09-09T08:20:57.313Z" }, + { url = "https://files.pythonhosted.org/packages/46/af/c5e286471b7d10871b811b72ae794ac5fe2989c0a2df07f0ec723030f5f5/scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f", size = 9434180, upload-time = "2025-09-09T08:20:59.671Z" }, + { url = "https://files.pythonhosted.org/packages/f1/fd/df59faa53312d585023b2da27e866524ffb8faf87a68516c23896c718320/scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0", size = 9283660, upload-time = "2025-09-09T08:21:01.71Z" }, + { url = "https://files.pythonhosted.org/packages/a7/c7/03000262759d7b6f38c836ff9d512f438a70d8a8ddae68ee80de72dcfb63/scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c", size = 8702057, upload-time = "2025-09-09T08:21:04.234Z" }, + { url = "https://files.pythonhosted.org/packages/55/87/ef5eb1f267084532c8e4aef98a28b6ffe7425acbfd64b5e2f2e066bc29b3/scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8", size = 9558731, upload-time = "2025-09-09T08:21:06.381Z" }, + { url = "https://files.pythonhosted.org/packages/93/f8/6c1e3fc14b10118068d7938878a9f3f4e6d7b74a8ddb1e5bed65159ccda8/scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a", size = 9038852, upload-time = "2025-09-09T08:21:08.628Z" }, + { url = "https://files.pythonhosted.org/packages/83/87/066cafc896ee540c34becf95d30375fe5cbe93c3b75a0ee9aa852cd60021/scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c", size = 9527094, upload-time = "2025-09-09T08:21:11.486Z" }, + { url = "https://files.pythonhosted.org/packages/9c/2b/4903e1ccafa1f6453b1ab78413938c8800633988c838aa0be386cbb33072/scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c", size = 9367436, upload-time = "2025-09-09T08:21:13.602Z" }, + { url = "https://files.pythonhosted.org/packages/b5/aa/8444be3cfb10451617ff9d177b3c190288f4563e6c50ff02728be67ad094/scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973", size = 9275749, upload-time = "2025-09-09T08:21:15.96Z" }, + { url = "https://files.pythonhosted.org/packages/d9/82/dee5acf66837852e8e68df6d8d3a6cb22d3df997b733b032f513d95205b7/scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33", size = 9208906, upload-time = "2025-09-09T08:21:18.557Z" }, + { url = "https://files.pythonhosted.org/packages/3c/30/9029e54e17b87cb7d50d51a5926429c683d5b4c1732f0507a6c3bed9bf65/scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615", size = 8627836, upload-time = "2025-09-09T08:21:20.695Z" }, + { url = "https://files.pythonhosted.org/packages/60/18/4a52c635c71b536879f4b971c2cedf32c35ee78f48367885ed8025d1f7ee/scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106", size = 9426236, upload-time = "2025-09-09T08:21:22.645Z" }, + { url = "https://files.pythonhosted.org/packages/99/7e/290362f6ab582128c53445458a5befd471ed1ea37953d5bcf80604619250/scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61", size = 9312593, upload-time = "2025-09-09T08:21:24.65Z" }, + { url = "https://files.pythonhosted.org/packages/8e/87/24f541b6d62b1794939ae6422f8023703bbf6900378b2b34e0b4384dfefd/scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8", size = 8820007, upload-time = "2025-09-09T08:21:26.713Z" }, +] + +[[package]] +name = "scikit-learn" +version = "1.8.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "joblib", marker = "python_full_version >= '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "threadpoolctl", marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0e/d4/40988bf3b8e34feec1d0e6a051446b1f66225f8529b9309becaeef62b6c4/scikit_learn-1.8.0.tar.gz", hash = "sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd", size = 7335585, upload-time = "2025-12-10T07:08:53.618Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c9/92/53ea2181da8ac6bf27170191028aee7251f8f841f8d3edbfdcaf2008fde9/scikit_learn-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:146b4d36f800c013d267b29168813f7a03a43ecd2895d04861f1240b564421da", size = 8595835, upload-time = "2025-12-10T07:07:39.385Z" }, + { url = "https://files.pythonhosted.org/packages/01/18/d154dc1638803adf987910cdd07097d9c526663a55666a97c124d09fb96a/scikit_learn-1.8.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f984ca4b14914e6b4094c5d52a32ea16b49832c03bd17a110f004db3c223e8e1", size = 8080381, upload-time = "2025-12-10T07:07:41.93Z" }, + { url = "https://files.pythonhosted.org/packages/8a/44/226142fcb7b7101e64fdee5f49dbe6288d4c7af8abf593237b70fca080a4/scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5e30adb87f0cc81c7690a84f7932dd66be5bac57cfe16b91cb9151683a4a2d3b", size = 8799632, upload-time = "2025-12-10T07:07:43.899Z" }, + { url = "https://files.pythonhosted.org/packages/36/4d/4a67f30778a45d542bbea5db2dbfa1e9e100bf9ba64aefe34215ba9f11f6/scikit_learn-1.8.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ada8121bcb4dac28d930febc791a69f7cb1673c8495e5eee274190b73a4559c1", size = 9103788, upload-time = "2025-12-10T07:07:45.982Z" }, + { url = "https://files.pythonhosted.org/packages/89/3c/45c352094cfa60050bcbb967b1faf246b22e93cb459f2f907b600f2ceda5/scikit_learn-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:c57b1b610bd1f40ba43970e11ce62821c2e6569e4d74023db19c6b26f246cb3b", size = 8081706, upload-time = "2025-12-10T07:07:48.111Z" }, + { url = "https://files.pythonhosted.org/packages/3d/46/5416595bb395757f754feb20c3d776553a386b661658fb21b7c814e89efe/scikit_learn-1.8.0-cp311-cp311-win_arm64.whl", hash = "sha256:2838551e011a64e3053ad7618dda9310175f7515f1742fa2d756f7c874c05961", size = 7688451, upload-time = "2025-12-10T07:07:49.873Z" }, + { url = "https://files.pythonhosted.org/packages/90/74/e6a7cc4b820e95cc38cf36cd74d5aa2b42e8ffc2d21fe5a9a9c45c1c7630/scikit_learn-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5fb63362b5a7ddab88e52b6dbb47dac3fd7dafeee740dc6c8d8a446ddedade8e", size = 8548242, upload-time = "2025-12-10T07:07:51.568Z" }, + { url = "https://files.pythonhosted.org/packages/49/d8/9be608c6024d021041c7f0b3928d4749a706f4e2c3832bbede4fb4f58c95/scikit_learn-1.8.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:5025ce924beccb28298246e589c691fe1b8c1c96507e6d27d12c5fadd85bfd76", size = 8079075, upload-time = "2025-12-10T07:07:53.697Z" }, + { url = "https://files.pythonhosted.org/packages/dd/47/f187b4636ff80cc63f21cd40b7b2d177134acaa10f6bb73746130ee8c2e5/scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4496bb2cf7a43ce1a2d7524a79e40bc5da45cf598dbf9545b7e8316ccba47bb4", size = 8660492, upload-time = "2025-12-10T07:07:55.574Z" }, + { url = "https://files.pythonhosted.org/packages/97/74/b7a304feb2b49df9fafa9382d4d09061a96ee9a9449a7cbea7988dda0828/scikit_learn-1.8.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a0bcfe4d0d14aec44921545fd2af2338c7471de9cb701f1da4c9d85906ab847a", size = 8931904, upload-time = "2025-12-10T07:07:57.666Z" }, + { url = "https://files.pythonhosted.org/packages/9f/c4/0ab22726a04ede56f689476b760f98f8f46607caecff993017ac1b64aa5d/scikit_learn-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:35c007dedb2ffe38fe3ee7d201ebac4a2deccd2408e8621d53067733e3c74809", size = 8019359, upload-time = "2025-12-10T07:07:59.838Z" }, + { url = "https://files.pythonhosted.org/packages/24/90/344a67811cfd561d7335c1b96ca21455e7e472d281c3c279c4d3f2300236/scikit_learn-1.8.0-cp312-cp312-win_arm64.whl", hash = "sha256:8c497fff237d7b4e07e9ef1a640887fa4fb765647f86fbe00f969ff6280ce2bb", size = 7641898, upload-time = "2025-12-10T07:08:01.36Z" }, + { url = "https://files.pythonhosted.org/packages/03/aa/e22e0768512ce9255eba34775be2e85c2048da73da1193e841707f8f039c/scikit_learn-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0d6ae97234d5d7079dc0040990a6f7aeb97cb7fa7e8945f1999a429b23569e0a", size = 8513770, upload-time = "2025-12-10T07:08:03.251Z" }, + { url = "https://files.pythonhosted.org/packages/58/37/31b83b2594105f61a381fc74ca19e8780ee923be2d496fcd8d2e1147bd99/scikit_learn-1.8.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:edec98c5e7c128328124a029bceb09eda2d526997780fef8d65e9a69eead963e", size = 8044458, upload-time = "2025-12-10T07:08:05.336Z" }, + { url = "https://files.pythonhosted.org/packages/2d/5a/3f1caed8765f33eabb723596666da4ebbf43d11e96550fb18bdec42b467b/scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:74b66d8689d52ed04c271e1329f0c61635bcaf5b926db9b12d58914cdc01fe57", size = 8610341, upload-time = "2025-12-10T07:08:07.732Z" }, + { url = "https://files.pythonhosted.org/packages/38/cf/06896db3f71c75902a8e9943b444a56e727418f6b4b4a90c98c934f51ed4/scikit_learn-1.8.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8fdf95767f989b0cfedb85f7ed8ca215d4be728031f56ff5a519ee1e3276dc2e", size = 8900022, upload-time = "2025-12-10T07:08:09.862Z" }, + { url = "https://files.pythonhosted.org/packages/1c/f9/9b7563caf3ec8873e17a31401858efab6b39a882daf6c1bfa88879c0aa11/scikit_learn-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:2de443b9373b3b615aec1bb57f9baa6bb3a9bd093f1269ba95c17d870422b271", size = 7989409, upload-time = "2025-12-10T07:08:12.028Z" }, + { url = "https://files.pythonhosted.org/packages/49/bd/1f4001503650e72c4f6009ac0c4413cb17d2d601cef6f71c0453da2732fc/scikit_learn-1.8.0-cp313-cp313-win_arm64.whl", hash = "sha256:eddde82a035681427cbedded4e6eff5e57fa59216c2e3e90b10b19ab1d0a65c3", size = 7619760, upload-time = "2025-12-10T07:08:13.688Z" }, + { url = "https://files.pythonhosted.org/packages/d2/7d/a630359fc9dcc95496588c8d8e3245cc8fd81980251079bc09c70d41d951/scikit_learn-1.8.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:7cc267b6108f0a1499a734167282c00c4ebf61328566b55ef262d48e9849c735", size = 8826045, upload-time = "2025-12-10T07:08:15.215Z" }, + { url = "https://files.pythonhosted.org/packages/cc/56/a0c86f6930cfcd1c7054a2bc417e26960bb88d32444fe7f71d5c2cfae891/scikit_learn-1.8.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:fe1c011a640a9f0791146011dfd3c7d9669785f9fed2b2a5f9e207536cf5c2fd", size = 8420324, upload-time = "2025-12-10T07:08:17.561Z" }, + { url = "https://files.pythonhosted.org/packages/46/1e/05962ea1cebc1cf3876667ecb14c283ef755bf409993c5946ade3b77e303/scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72358cce49465d140cc4e7792015bb1f0296a9742d5622c67e31399b75468b9e", size = 8680651, upload-time = "2025-12-10T07:08:19.952Z" }, + { url = "https://files.pythonhosted.org/packages/fe/56/a85473cd75f200c9759e3a5f0bcab2d116c92a8a02ee08ccd73b870f8bb4/scikit_learn-1.8.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:80832434a6cc114f5219211eec13dcbc16c2bac0e31ef64c6d346cde3cf054cb", size = 8925045, upload-time = "2025-12-10T07:08:22.11Z" }, + { url = "https://files.pythonhosted.org/packages/cc/b7/64d8cfa896c64435ae57f4917a548d7ac7a44762ff9802f75a79b77cb633/scikit_learn-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ee787491dbfe082d9c3013f01f5991658b0f38aa8177e4cd4bf434c58f551702", size = 8507994, upload-time = "2025-12-10T07:08:23.943Z" }, + { url = "https://files.pythonhosted.org/packages/5e/37/e192ea709551799379958b4c4771ec507347027bb7c942662c7fbeba31cb/scikit_learn-1.8.0-cp313-cp313t-win_arm64.whl", hash = "sha256:bf97c10a3f5a7543f9b88cbf488d33d175e9146115a451ae34568597ba33dcde", size = 7869518, upload-time = "2025-12-10T07:08:25.71Z" }, + { url = "https://files.pythonhosted.org/packages/24/05/1af2c186174cc92dcab2233f327336058c077d38f6fe2aceb08e6ab4d509/scikit_learn-1.8.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:c22a2da7a198c28dd1a6e1136f19c830beab7fdca5b3e5c8bba8394f8a5c45b3", size = 8528667, upload-time = "2025-12-10T07:08:27.541Z" }, + { url = "https://files.pythonhosted.org/packages/a8/25/01c0af38fe969473fb292bba9dc2b8f9b451f3112ff242c647fee3d0dfe7/scikit_learn-1.8.0-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:6b595b07a03069a2b1740dc08c2299993850ea81cce4fe19b2421e0c970de6b7", size = 8066524, upload-time = "2025-12-10T07:08:29.822Z" }, + { url = "https://files.pythonhosted.org/packages/be/ce/a0623350aa0b68647333940ee46fe45086c6060ec604874e38e9ab7d8e6c/scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:29ffc74089f3d5e87dfca4c2c8450f88bdc61b0fc6ed5d267f3988f19a1309f6", size = 8657133, upload-time = "2025-12-10T07:08:31.865Z" }, + { url = "https://files.pythonhosted.org/packages/b8/cb/861b41341d6f1245e6ca80b1c1a8c4dfce43255b03df034429089ca2a2c5/scikit_learn-1.8.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fb65db5d7531bccf3a4f6bec3462223bea71384e2cda41da0f10b7c292b9e7c4", size = 8923223, upload-time = "2025-12-10T07:08:34.166Z" }, + { url = "https://files.pythonhosted.org/packages/76/18/a8def8f91b18cd1ba6e05dbe02540168cb24d47e8dcf69e8d00b7da42a08/scikit_learn-1.8.0-cp314-cp314-win_amd64.whl", hash = "sha256:56079a99c20d230e873ea40753102102734c5953366972a71d5cb39a32bc40c6", size = 8096518, upload-time = "2025-12-10T07:08:36.339Z" }, + { url = "https://files.pythonhosted.org/packages/d1/77/482076a678458307f0deb44e29891d6022617b2a64c840c725495bee343f/scikit_learn-1.8.0-cp314-cp314-win_arm64.whl", hash = "sha256:3bad7565bc9cf37ce19a7c0d107742b320c1285df7aab1a6e2d28780df167242", size = 7754546, upload-time = "2025-12-10T07:08:38.128Z" }, + { url = "https://files.pythonhosted.org/packages/2d/d1/ef294ca754826daa043b2a104e59960abfab4cf653891037d19dd5b6f3cf/scikit_learn-1.8.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:4511be56637e46c25721e83d1a9cea9614e7badc7040c4d573d75fbe257d6fd7", size = 8848305, upload-time = "2025-12-10T07:08:41.013Z" }, + { url = "https://files.pythonhosted.org/packages/5b/e2/b1f8b05138ee813b8e1a4149f2f0d289547e60851fd1bb268886915adbda/scikit_learn-1.8.0-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:a69525355a641bf8ef136a7fa447672fb54fe8d60cab5538d9eb7c6438543fb9", size = 8432257, upload-time = "2025-12-10T07:08:42.873Z" }, + { url = "https://files.pythonhosted.org/packages/26/11/c32b2138a85dcb0c99f6afd13a70a951bfdff8a6ab42d8160522542fb647/scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c2656924ec73e5939c76ac4c8b026fc203b83d8900362eb2599d8aee80e4880f", size = 8678673, upload-time = "2025-12-10T07:08:45.362Z" }, + { url = "https://files.pythonhosted.org/packages/c7/57/51f2384575bdec454f4fe4e7a919d696c9ebce914590abf3e52d47607ab8/scikit_learn-1.8.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:15fc3b5d19cc2be65404786857f2e13c70c83dd4782676dd6814e3b89dc8f5b9", size = 8922467, upload-time = "2025-12-10T07:08:47.408Z" }, + { url = "https://files.pythonhosted.org/packages/35/4d/748c9e2872637a57981a04adc038dacaa16ba8ca887b23e34953f0b3f742/scikit_learn-1.8.0-cp314-cp314t-win_amd64.whl", hash = "sha256:00d6f1d66fbcf4eba6e356e1420d33cc06c70a45bb1363cd6f6a8e4ebbbdece2", size = 8774395, upload-time = "2025-12-10T07:08:49.337Z" }, + { url = "https://files.pythonhosted.org/packages/60/22/d7b2ebe4704a5e50790ba089d5c2ae308ab6bb852719e6c3bd4f04c3a363/scikit_learn-1.8.0-cp314-cp314t-win_arm64.whl", hash = "sha256:f28dd15c6bb0b66ba09728cf09fd8736c304be29409bd8445a080c1280619e8c", size = 8002647, upload-time = "2025-12-10T07:08:51.601Z" }, +] + +[[package]] +name = "scipy" +version = "1.15.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/2f/4966032c5f8cc7e6a60f1b2e0ad686293b9474b65246b0c642e3ef3badd0/scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c", size = 38702770, upload-time = "2025-05-08T16:04:20.849Z" }, + { url = "https://files.pythonhosted.org/packages/a0/6e/0c3bf90fae0e910c274db43304ebe25a6b391327f3f10b5dcc638c090795/scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253", size = 30094511, upload-time = "2025-05-08T16:04:27.103Z" }, + { url = "https://files.pythonhosted.org/packages/ea/b1/4deb37252311c1acff7f101f6453f0440794f51b6eacb1aad4459a134081/scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f", size = 22368151, upload-time = "2025-05-08T16:04:31.731Z" }, + { url = "https://files.pythonhosted.org/packages/38/7d/f457626e3cd3c29b3a49ca115a304cebb8cc6f31b04678f03b216899d3c6/scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92", size = 25121732, upload-time = "2025-05-08T16:04:36.596Z" }, + { url = "https://files.pythonhosted.org/packages/db/0a/92b1de4a7adc7a15dcf5bddc6e191f6f29ee663b30511ce20467ef9b82e4/scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82", size = 35547617, upload-time = "2025-05-08T16:04:43.546Z" }, + { url = "https://files.pythonhosted.org/packages/8e/6d/41991e503e51fc1134502694c5fa7a1671501a17ffa12716a4a9151af3df/scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40", size = 37662964, upload-time = "2025-05-08T16:04:49.431Z" }, + { url = "https://files.pythonhosted.org/packages/25/e1/3df8f83cb15f3500478c889be8fb18700813b95e9e087328230b98d547ff/scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e", size = 37238749, upload-time = "2025-05-08T16:04:55.215Z" }, + { url = "https://files.pythonhosted.org/packages/93/3e/b3257cf446f2a3533ed7809757039016b74cd6f38271de91682aa844cfc5/scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c", size = 40022383, upload-time = "2025-05-08T16:05:01.914Z" }, + { url = "https://files.pythonhosted.org/packages/d1/84/55bc4881973d3f79b479a5a2e2df61c8c9a04fcb986a213ac9c02cfb659b/scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13", size = 41259201, upload-time = "2025-05-08T16:05:08.166Z" }, + { url = "https://files.pythonhosted.org/packages/96/ab/5cc9f80f28f6a7dff646c5756e559823614a42b1939d86dd0ed550470210/scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b", size = 38714255, upload-time = "2025-05-08T16:05:14.596Z" }, + { url = "https://files.pythonhosted.org/packages/4a/4a/66ba30abe5ad1a3ad15bfb0b59d22174012e8056ff448cb1644deccbfed2/scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba", size = 30111035, upload-time = "2025-05-08T16:05:20.152Z" }, + { url = "https://files.pythonhosted.org/packages/4b/fa/a7e5b95afd80d24313307f03624acc65801846fa75599034f8ceb9e2cbf6/scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65", size = 22384499, upload-time = "2025-05-08T16:05:24.494Z" }, + { url = "https://files.pythonhosted.org/packages/17/99/f3aaddccf3588bb4aea70ba35328c204cadd89517a1612ecfda5b2dd9d7a/scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1", size = 25152602, upload-time = "2025-05-08T16:05:29.313Z" }, + { url = "https://files.pythonhosted.org/packages/56/c5/1032cdb565f146109212153339f9cb8b993701e9fe56b1c97699eee12586/scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889", size = 35503415, upload-time = "2025-05-08T16:05:34.699Z" }, + { url = "https://files.pythonhosted.org/packages/bd/37/89f19c8c05505d0601ed5650156e50eb881ae3918786c8fd7262b4ee66d3/scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982", size = 37652622, upload-time = "2025-05-08T16:05:40.762Z" }, + { url = "https://files.pythonhosted.org/packages/7e/31/be59513aa9695519b18e1851bb9e487de66f2d31f835201f1b42f5d4d475/scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9", size = 37244796, upload-time = "2025-05-08T16:05:48.119Z" }, + { url = "https://files.pythonhosted.org/packages/10/c0/4f5f3eeccc235632aab79b27a74a9130c6c35df358129f7ac8b29f562ac7/scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594", size = 40047684, upload-time = "2025-05-08T16:05:54.22Z" }, + { url = "https://files.pythonhosted.org/packages/ab/a7/0ddaf514ce8a8714f6ed243a2b391b41dbb65251affe21ee3077ec45ea9a/scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb", size = 41246504, upload-time = "2025-05-08T16:06:00.437Z" }, + { url = "https://files.pythonhosted.org/packages/37/4b/683aa044c4162e10ed7a7ea30527f2cbd92e6999c10a8ed8edb253836e9c/scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019", size = 38766735, upload-time = "2025-05-08T16:06:06.471Z" }, + { url = "https://files.pythonhosted.org/packages/7b/7e/f30be3d03de07f25dc0ec926d1681fed5c732d759ac8f51079708c79e680/scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6", size = 30173284, upload-time = "2025-05-08T16:06:11.686Z" }, + { url = "https://files.pythonhosted.org/packages/07/9c/0ddb0d0abdabe0d181c1793db51f02cd59e4901da6f9f7848e1f96759f0d/scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477", size = 22446958, upload-time = "2025-05-08T16:06:15.97Z" }, + { url = "https://files.pythonhosted.org/packages/af/43/0bce905a965f36c58ff80d8bea33f1f9351b05fad4beaad4eae34699b7a1/scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c", size = 25242454, upload-time = "2025-05-08T16:06:20.394Z" }, + { url = "https://files.pythonhosted.org/packages/56/30/a6f08f84ee5b7b28b4c597aca4cbe545535c39fe911845a96414700b64ba/scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45", size = 35210199, upload-time = "2025-05-08T16:06:26.159Z" }, + { url = "https://files.pythonhosted.org/packages/0b/1f/03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555/scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49", size = 37309455, upload-time = "2025-05-08T16:06:32.778Z" }, + { url = "https://files.pythonhosted.org/packages/89/b1/fbb53137f42c4bf630b1ffdfc2151a62d1d1b903b249f030d2b1c0280af8/scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e", size = 36885140, upload-time = "2025-05-08T16:06:39.249Z" }, + { url = "https://files.pythonhosted.org/packages/2e/2e/025e39e339f5090df1ff266d021892694dbb7e63568edcfe43f892fa381d/scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539", size = 39710549, upload-time = "2025-05-08T16:06:45.729Z" }, + { url = "https://files.pythonhosted.org/packages/e6/eb/3bf6ea8ab7f1503dca3a10df2e4b9c3f6b3316df07f6c0ded94b281c7101/scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed", size = 40966184, upload-time = "2025-05-08T16:06:52.623Z" }, + { url = "https://files.pythonhosted.org/packages/73/18/ec27848c9baae6e0d6573eda6e01a602e5649ee72c27c3a8aad673ebecfd/scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759", size = 38728256, upload-time = "2025-05-08T16:06:58.696Z" }, + { url = "https://files.pythonhosted.org/packages/74/cd/1aef2184948728b4b6e21267d53b3339762c285a46a274ebb7863c9e4742/scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62", size = 30109540, upload-time = "2025-05-08T16:07:04.209Z" }, + { url = "https://files.pythonhosted.org/packages/5b/d8/59e452c0a255ec352bd0a833537a3bc1bfb679944c4938ab375b0a6b3a3e/scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb", size = 22383115, upload-time = "2025-05-08T16:07:08.998Z" }, + { url = "https://files.pythonhosted.org/packages/08/f5/456f56bbbfccf696263b47095291040655e3cbaf05d063bdc7c7517f32ac/scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730", size = 25163884, upload-time = "2025-05-08T16:07:14.091Z" }, + { url = "https://files.pythonhosted.org/packages/a2/66/a9618b6a435a0f0c0b8a6d0a2efb32d4ec5a85f023c2b79d39512040355b/scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825", size = 35174018, upload-time = "2025-05-08T16:07:19.427Z" }, + { url = "https://files.pythonhosted.org/packages/b5/09/c5b6734a50ad4882432b6bb7c02baf757f5b2f256041da5df242e2d7e6b6/scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7", size = 37269716, upload-time = "2025-05-08T16:07:25.712Z" }, + { url = "https://files.pythonhosted.org/packages/77/0a/eac00ff741f23bcabd352731ed9b8995a0a60ef57f5fd788d611d43d69a1/scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11", size = 36872342, upload-time = "2025-05-08T16:07:31.468Z" }, + { url = "https://files.pythonhosted.org/packages/fe/54/4379be86dd74b6ad81551689107360d9a3e18f24d20767a2d5b9253a3f0a/scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126", size = 39670869, upload-time = "2025-05-08T16:07:38.002Z" }, + { url = "https://files.pythonhosted.org/packages/87/2e/892ad2862ba54f084ffe8cc4a22667eaf9c2bcec6d2bff1d15713c6c0703/scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163", size = 40988851, upload-time = "2025-05-08T16:08:33.671Z" }, + { url = "https://files.pythonhosted.org/packages/1b/e9/7a879c137f7e55b30d75d90ce3eb468197646bc7b443ac036ae3fe109055/scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8", size = 38863011, upload-time = "2025-05-08T16:07:44.039Z" }, + { url = "https://files.pythonhosted.org/packages/51/d1/226a806bbd69f62ce5ef5f3ffadc35286e9fbc802f606a07eb83bf2359de/scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5", size = 30266407, upload-time = "2025-05-08T16:07:49.891Z" }, + { url = "https://files.pythonhosted.org/packages/e5/9b/f32d1d6093ab9eeabbd839b0f7619c62e46cc4b7b6dbf05b6e615bbd4400/scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e", size = 22540030, upload-time = "2025-05-08T16:07:54.121Z" }, + { url = "https://files.pythonhosted.org/packages/e7/29/c278f699b095c1a884f29fda126340fcc201461ee8bfea5c8bdb1c7c958b/scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb", size = 25218709, upload-time = "2025-05-08T16:07:58.506Z" }, + { url = "https://files.pythonhosted.org/packages/24/18/9e5374b617aba742a990581373cd6b68a2945d65cc588482749ef2e64467/scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723", size = 34809045, upload-time = "2025-05-08T16:08:03.929Z" }, + { url = "https://files.pythonhosted.org/packages/e1/fe/9c4361e7ba2927074360856db6135ef4904d505e9b3afbbcb073c4008328/scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb", size = 36703062, upload-time = "2025-05-08T16:08:09.558Z" }, + { url = "https://files.pythonhosted.org/packages/b7/8e/038ccfe29d272b30086b25a4960f757f97122cb2ec42e62b460d02fe98e9/scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4", size = 36393132, upload-time = "2025-05-08T16:08:15.34Z" }, + { url = "https://files.pythonhosted.org/packages/10/7e/5c12285452970be5bdbe8352c619250b97ebf7917d7a9a9e96b8a8140f17/scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5", size = 38979503, upload-time = "2025-05-08T16:08:21.513Z" }, + { url = "https://files.pythonhosted.org/packages/81/06/0a5e5349474e1cbc5757975b21bd4fad0e72ebf138c5592f191646154e06/scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca", size = 40308097, upload-time = "2025-05-08T16:08:27.627Z" }, +] + +[[package]] +name = "scipy" +version = "1.16.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0a/ca/d8ace4f98322d01abcd52d381134344bf7b431eba7ed8b42bdea5a3c2ac9/scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb", size = 30597883, upload-time = "2025-10-28T17:38:54.068Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9b/5f/6f37d7439de1455ce9c5a556b8d1db0979f03a796c030bafdf08d35b7bf9/scipy-1.16.3-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:40be6cf99e68b6c4321e9f8782e7d5ff8265af28ef2cd56e9c9b2638fa08ad97", size = 36630881, upload-time = "2025-10-28T17:31:47.104Z" }, + { url = "https://files.pythonhosted.org/packages/7c/89/d70e9f628749b7e4db2aa4cd89735502ff3f08f7b9b27d2e799485987cd9/scipy-1.16.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:8be1ca9170fcb6223cc7c27f4305d680ded114a1567c0bd2bfcbf947d1b17511", size = 28941012, upload-time = "2025-10-28T17:31:53.411Z" }, + { url = "https://files.pythonhosted.org/packages/a8/a8/0e7a9a6872a923505dbdf6bb93451edcac120363131c19013044a1e7cb0c/scipy-1.16.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:bea0a62734d20d67608660f69dcda23e7f90fb4ca20974ab80b6ed40df87a005", size = 20931935, upload-time = "2025-10-28T17:31:57.361Z" }, + { url = "https://files.pythonhosted.org/packages/bd/c7/020fb72bd79ad798e4dbe53938543ecb96b3a9ac3fe274b7189e23e27353/scipy-1.16.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:2a207a6ce9c24f1951241f4693ede2d393f59c07abc159b2cb2be980820e01fb", size = 23534466, upload-time = "2025-10-28T17:32:01.875Z" }, + { url = "https://files.pythonhosted.org/packages/be/a0/668c4609ce6dbf2f948e167836ccaf897f95fb63fa231c87da7558a374cd/scipy-1.16.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:532fb5ad6a87e9e9cd9c959b106b73145a03f04c7d57ea3e6f6bb60b86ab0876", size = 33593618, upload-time = "2025-10-28T17:32:06.902Z" }, + { url = "https://files.pythonhosted.org/packages/ca/6e/8942461cf2636cdae083e3eb72622a7fbbfa5cf559c7d13ab250a5dbdc01/scipy-1.16.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0151a0749efeaaab78711c78422d413c583b8cdd2011a3c1d6c794938ee9fdb2", size = 35899798, upload-time = "2025-10-28T17:32:12.665Z" }, + { url = "https://files.pythonhosted.org/packages/79/e8/d0f33590364cdbd67f28ce79368b373889faa4ee959588beddf6daef9abe/scipy-1.16.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b7180967113560cca57418a7bc719e30366b47959dd845a93206fbed693c867e", size = 36226154, upload-time = "2025-10-28T17:32:17.961Z" }, + { url = "https://files.pythonhosted.org/packages/39/c1/1903de608c0c924a1749c590064e65810f8046e437aba6be365abc4f7557/scipy-1.16.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:deb3841c925eeddb6afc1e4e4a45e418d19ec7b87c5df177695224078e8ec733", size = 38878540, upload-time = "2025-10-28T17:32:23.907Z" }, + { url = "https://files.pythonhosted.org/packages/f1/d0/22ec7036ba0b0a35bccb7f25ab407382ed34af0b111475eb301c16f8a2e5/scipy-1.16.3-cp311-cp311-win_amd64.whl", hash = "sha256:53c3844d527213631e886621df5695d35e4f6a75f620dca412bcd292f6b87d78", size = 38722107, upload-time = "2025-10-28T17:32:29.921Z" }, + { url = "https://files.pythonhosted.org/packages/7b/60/8a00e5a524bb3bf8898db1650d350f50e6cffb9d7a491c561dc9826c7515/scipy-1.16.3-cp311-cp311-win_arm64.whl", hash = "sha256:9452781bd879b14b6f055b26643703551320aa8d79ae064a71df55c00286a184", size = 25506272, upload-time = "2025-10-28T17:32:34.577Z" }, + { url = "https://files.pythonhosted.org/packages/40/41/5bf55c3f386b1643812f3a5674edf74b26184378ef0f3e7c7a09a7e2ca7f/scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6", size = 36659043, upload-time = "2025-10-28T17:32:40.285Z" }, + { url = "https://files.pythonhosted.org/packages/1e/0f/65582071948cfc45d43e9870bf7ca5f0e0684e165d7c9ef4e50d783073eb/scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07", size = 28898986, upload-time = "2025-10-28T17:32:45.325Z" }, + { url = "https://files.pythonhosted.org/packages/96/5e/36bf3f0ac298187d1ceadde9051177d6a4fe4d507e8f59067dc9dd39e650/scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9", size = 20889814, upload-time = "2025-10-28T17:32:49.277Z" }, + { url = "https://files.pythonhosted.org/packages/80/35/178d9d0c35394d5d5211bbff7ac4f2986c5488b59506fef9e1de13ea28d3/scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686", size = 23565795, upload-time = "2025-10-28T17:32:53.337Z" }, + { url = "https://files.pythonhosted.org/packages/fa/46/d1146ff536d034d02f83c8afc3c4bab2eddb634624d6529a8512f3afc9da/scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203", size = 33349476, upload-time = "2025-10-28T17:32:58.353Z" }, + { url = "https://files.pythonhosted.org/packages/79/2e/415119c9ab3e62249e18c2b082c07aff907a273741b3f8160414b0e9193c/scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1", size = 35676692, upload-time = "2025-10-28T17:33:03.88Z" }, + { url = "https://files.pythonhosted.org/packages/27/82/df26e44da78bf8d2aeaf7566082260cfa15955a5a6e96e6a29935b64132f/scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe", size = 36019345, upload-time = "2025-10-28T17:33:09.773Z" }, + { url = "https://files.pythonhosted.org/packages/82/31/006cbb4b648ba379a95c87262c2855cd0d09453e500937f78b30f02fa1cd/scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70", size = 38678975, upload-time = "2025-10-28T17:33:15.809Z" }, + { url = "https://files.pythonhosted.org/packages/c2/7f/acbd28c97e990b421af7d6d6cd416358c9c293fc958b8529e0bd5d2a2a19/scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc", size = 38555926, upload-time = "2025-10-28T17:33:21.388Z" }, + { url = "https://files.pythonhosted.org/packages/ce/69/c5c7807fd007dad4f48e0a5f2153038dc96e8725d3345b9ee31b2b7bed46/scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2", size = 25463014, upload-time = "2025-10-28T17:33:25.975Z" }, + { url = "https://files.pythonhosted.org/packages/72/f1/57e8327ab1508272029e27eeef34f2302ffc156b69e7e233e906c2a5c379/scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c", size = 36617856, upload-time = "2025-10-28T17:33:31.375Z" }, + { url = "https://files.pythonhosted.org/packages/44/13/7e63cfba8a7452eb756306aa2fd9b37a29a323b672b964b4fdeded9a3f21/scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d", size = 28874306, upload-time = "2025-10-28T17:33:36.516Z" }, + { url = "https://files.pythonhosted.org/packages/15/65/3a9400efd0228a176e6ec3454b1fa998fbbb5a8defa1672c3f65706987db/scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9", size = 20865371, upload-time = "2025-10-28T17:33:42.094Z" }, + { url = "https://files.pythonhosted.org/packages/33/d7/eda09adf009a9fb81827194d4dd02d2e4bc752cef16737cc4ef065234031/scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4", size = 23524877, upload-time = "2025-10-28T17:33:48.483Z" }, + { url = "https://files.pythonhosted.org/packages/7d/6b/3f911e1ebc364cb81320223a3422aab7d26c9c7973109a9cd0f27c64c6c0/scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959", size = 33342103, upload-time = "2025-10-28T17:33:56.495Z" }, + { url = "https://files.pythonhosted.org/packages/21/f6/4bfb5695d8941e5c570a04d9fcd0d36bce7511b7d78e6e75c8f9791f82d0/scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88", size = 35697297, upload-time = "2025-10-28T17:34:04.722Z" }, + { url = "https://files.pythonhosted.org/packages/04/e1/6496dadbc80d8d896ff72511ecfe2316b50313bfc3ebf07a3f580f08bd8c/scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234", size = 36021756, upload-time = "2025-10-28T17:34:13.482Z" }, + { url = "https://files.pythonhosted.org/packages/fe/bd/a8c7799e0136b987bda3e1b23d155bcb31aec68a4a472554df5f0937eef7/scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d", size = 38696566, upload-time = "2025-10-28T17:34:22.384Z" }, + { url = "https://files.pythonhosted.org/packages/cd/01/1204382461fcbfeb05b6161b594f4007e78b6eba9b375382f79153172b4d/scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304", size = 38529877, upload-time = "2025-10-28T17:35:51.076Z" }, + { url = "https://files.pythonhosted.org/packages/7f/14/9d9fbcaa1260a94f4bb5b64ba9213ceb5d03cd88841fe9fd1ffd47a45b73/scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2", size = 25455366, upload-time = "2025-10-28T17:35:59.014Z" }, + { url = "https://files.pythonhosted.org/packages/e2/a3/9ec205bd49f42d45d77f1730dbad9ccf146244c1647605cf834b3a8c4f36/scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b", size = 37027931, upload-time = "2025-10-28T17:34:31.451Z" }, + { url = "https://files.pythonhosted.org/packages/25/06/ca9fd1f3a4589cbd825b1447e5db3a8ebb969c1eaf22c8579bd286f51b6d/scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079", size = 29400081, upload-time = "2025-10-28T17:34:39.087Z" }, + { url = "https://files.pythonhosted.org/packages/6a/56/933e68210d92657d93fb0e381683bc0e53a965048d7358ff5fbf9e6a1b17/scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a", size = 21391244, upload-time = "2025-10-28T17:34:45.234Z" }, + { url = "https://files.pythonhosted.org/packages/a8/7e/779845db03dc1418e215726329674b40576879b91814568757ff0014ad65/scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119", size = 23929753, upload-time = "2025-10-28T17:34:51.793Z" }, + { url = "https://files.pythonhosted.org/packages/4c/4b/f756cf8161d5365dcdef9e5f460ab226c068211030a175d2fc7f3f41ca64/scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c", size = 33496912, upload-time = "2025-10-28T17:34:59.8Z" }, + { url = "https://files.pythonhosted.org/packages/09/b5/222b1e49a58668f23839ca1542a6322bb095ab8d6590d4f71723869a6c2c/scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e", size = 35802371, upload-time = "2025-10-28T17:35:08.173Z" }, + { url = "https://files.pythonhosted.org/packages/c1/8d/5964ef68bb31829bde27611f8c9deeac13764589fe74a75390242b64ca44/scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135", size = 36190477, upload-time = "2025-10-28T17:35:16.7Z" }, + { url = "https://files.pythonhosted.org/packages/ab/f2/b31d75cb9b5fa4dd39a0a931ee9b33e7f6f36f23be5ef560bf72e0f92f32/scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6", size = 38796678, upload-time = "2025-10-28T17:35:26.354Z" }, + { url = "https://files.pythonhosted.org/packages/b4/1e/b3723d8ff64ab548c38d87055483714fefe6ee20e0189b62352b5e015bb1/scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc", size = 38640178, upload-time = "2025-10-28T17:35:35.304Z" }, + { url = "https://files.pythonhosted.org/packages/8e/f3/d854ff38789aca9b0cc23008d607ced9de4f7ab14fa1ca4329f86b3758ca/scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a", size = 25803246, upload-time = "2025-10-28T17:35:42.155Z" }, + { url = "https://files.pythonhosted.org/packages/99/f6/99b10fd70f2d864c1e29a28bbcaa0c6340f9d8518396542d9ea3b4aaae15/scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6", size = 36606469, upload-time = "2025-10-28T17:36:08.741Z" }, + { url = "https://files.pythonhosted.org/packages/4d/74/043b54f2319f48ea940dd025779fa28ee360e6b95acb7cd188fad4391c6b/scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657", size = 28872043, upload-time = "2025-10-28T17:36:16.599Z" }, + { url = "https://files.pythonhosted.org/packages/4d/e1/24b7e50cc1c4ee6ffbcb1f27fe9f4c8b40e7911675f6d2d20955f41c6348/scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26", size = 20862952, upload-time = "2025-10-28T17:36:22.966Z" }, + { url = "https://files.pythonhosted.org/packages/dd/3a/3e8c01a4d742b730df368e063787c6808597ccb38636ed821d10b39ca51b/scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc", size = 23508512, upload-time = "2025-10-28T17:36:29.731Z" }, + { url = "https://files.pythonhosted.org/packages/1f/60/c45a12b98ad591536bfe5330cb3cfe1850d7570259303563b1721564d458/scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22", size = 33413639, upload-time = "2025-10-28T17:36:37.982Z" }, + { url = "https://files.pythonhosted.org/packages/71/bc/35957d88645476307e4839712642896689df442f3e53b0fa016ecf8a3357/scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc", size = 35704729, upload-time = "2025-10-28T17:36:46.547Z" }, + { url = "https://files.pythonhosted.org/packages/3b/15/89105e659041b1ca11c386e9995aefacd513a78493656e57789f9d9eab61/scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0", size = 36086251, upload-time = "2025-10-28T17:36:55.161Z" }, + { url = "https://files.pythonhosted.org/packages/1a/87/c0ea673ac9c6cc50b3da2196d860273bc7389aa69b64efa8493bdd25b093/scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800", size = 38716681, upload-time = "2025-10-28T17:37:04.1Z" }, + { url = "https://files.pythonhosted.org/packages/91/06/837893227b043fb9b0d13e4bd7586982d8136cb249ffb3492930dab905b8/scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d", size = 39358423, upload-time = "2025-10-28T17:38:20.005Z" }, + { url = "https://files.pythonhosted.org/packages/95/03/28bce0355e4d34a7c034727505a02d19548549e190bedd13a721e35380b7/scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f", size = 26135027, upload-time = "2025-10-28T17:38:24.966Z" }, + { url = "https://files.pythonhosted.org/packages/b2/6f/69f1e2b682efe9de8fe9f91040f0cd32f13cfccba690512ba4c582b0bc29/scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c", size = 37028379, upload-time = "2025-10-28T17:37:14.061Z" }, + { url = "https://files.pythonhosted.org/packages/7c/2d/e826f31624a5ebbab1cd93d30fd74349914753076ed0593e1d56a98c4fb4/scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40", size = 29400052, upload-time = "2025-10-28T17:37:21.709Z" }, + { url = "https://files.pythonhosted.org/packages/69/27/d24feb80155f41fd1f156bf144e7e049b4e2b9dd06261a242905e3bc7a03/scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d", size = 21391183, upload-time = "2025-10-28T17:37:29.559Z" }, + { url = "https://files.pythonhosted.org/packages/f8/d3/1b229e433074c5738a24277eca520a2319aac7465eea7310ea6ae0e98ae2/scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa", size = 23930174, upload-time = "2025-10-28T17:37:36.306Z" }, + { url = "https://files.pythonhosted.org/packages/16/9d/d9e148b0ec680c0f042581a2be79a28a7ab66c0c4946697f9e7553ead337/scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8", size = 33497852, upload-time = "2025-10-28T17:37:42.228Z" }, + { url = "https://files.pythonhosted.org/packages/2f/22/4e5f7561e4f98b7bea63cf3fd7934bff1e3182e9f1626b089a679914d5c8/scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353", size = 35798595, upload-time = "2025-10-28T17:37:48.102Z" }, + { url = "https://files.pythonhosted.org/packages/83/42/6644d714c179429fc7196857866f219fef25238319b650bb32dde7bf7a48/scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146", size = 36186269, upload-time = "2025-10-28T17:37:53.72Z" }, + { url = "https://files.pythonhosted.org/packages/ac/70/64b4d7ca92f9cf2e6fc6aaa2eecf80bb9b6b985043a9583f32f8177ea122/scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d", size = 38802779, upload-time = "2025-10-28T17:37:59.393Z" }, + { url = "https://files.pythonhosted.org/packages/61/82/8d0e39f62764cce5ffd5284131e109f07cf8955aef9ab8ed4e3aa5e30539/scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7", size = 39471128, upload-time = "2025-10-28T17:38:05.259Z" }, + { url = "https://files.pythonhosted.org/packages/64/47/a494741db7280eae6dc033510c319e34d42dd41b7ac0c7ead39354d1a2b5/scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562", size = 26464127, upload-time = "2025-10-28T17:38:11.34Z" }, +] + +[[package]] +name = "seaborn" +version = "0.13.2" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "matplotlib" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/86/59/a451d7420a77ab0b98f7affa3a1d78a313d2f7281a57afb1a34bae8ab412/seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7", size = 1457696, upload-time = "2024-01-25T13:21:52.551Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/83/11/00d3c3dfc25ad54e731d91449895a79e4bf2384dc3ac01809010ba88f6d5/seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987", size = 294914, upload-time = "2024-01-25T13:21:49.598Z" }, +] + +[[package]] +name = "send2trash" +version = "2.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c5/f0/184b4b5f8d00f2a92cf96eec8967a3d550b52cf94362dad1100df9e48d57/send2trash-2.1.0.tar.gz", hash = "sha256:1c72b39f09457db3c05ce1d19158c2cbef4c32b8bedd02c155e49282b7ea7459", size = 17255, upload-time = "2026-01-14T06:27:36.056Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1c/78/504fdd027da3b84ff1aecd9f6957e65f35134534ccc6da8628eb71e76d3f/send2trash-2.1.0-py3-none-any.whl", hash = "sha256:0da2f112e6d6bb22de6aa6daa7e144831a4febf2a87261451c4ad849fe9a873c", size = 17610, upload-time = "2026-01-14T06:27:35.218Z" }, +] + +[[package]] +name = "setuptools" +version = "82.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/4f/db/cfac1baf10650ab4d1c111714410d2fbb77ac5a616db26775db562c8fab2/setuptools-82.0.1.tar.gz", hash = "sha256:7d872682c5d01cfde07da7bccc7b65469d3dca203318515ada1de5eda35efbf9", size = 1152316, upload-time = "2026-03-09T12:47:17.221Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/9d/76/f789f7a86709c6b087c5a2f52f911838cad707cc613162401badc665acfe/setuptools-82.0.1-py3-none-any.whl", hash = "sha256:a59e362652f08dcd477c78bb6e7bd9d80a7995bc73ce773050228a348ce2e5bb", size = 1006223, upload-time = "2026-03-09T12:47:15.026Z" }, +] + +[[package]] +name = "shiny" +version = "1.6.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "asgiref" }, + { name = "click", marker = "sys_platform != 'emscripten'" }, + { name = "htmltools" }, + { name = "linkify-it-py" }, + { name = "markdown-it-py" }, + { name = "mdit-py-plugins" }, + { name = "narwhals" }, + { name = "opentelemetry-api" }, + { name = "orjson" }, + { name = "packaging" }, + { name = "platformdirs" }, + { name = "prompt-toolkit", marker = "sys_platform != 'emscripten'" }, + { name = "python-multipart", marker = "sys_platform != 'emscripten'" }, + { name = "questionary", marker = "sys_platform != 'emscripten'" }, + { name = "setuptools", marker = "python_full_version >= '3.12'" }, + { name = "shinychat" }, + { name = "starlette" }, + { name = "typing-extensions" }, + { name = "uvicorn", marker = "sys_platform != 'emscripten'" }, + { name = "watchfiles", marker = "sys_platform != 'emscripten'" }, + { name = "websockets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ee/f2/d75ad19f6fa0cb244ff04990c61aa28d88300c69d6220dec3ffb8f3e29eb/shiny-1.6.0.tar.gz", hash = "sha256:54bec20a9cfde0dd3a36a9873863be7dbb4729a33fe7abc9ad9488df6efd6f58", size = 5079489, upload-time = "2026-03-20T20:42:58.2Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ba/30/d442d84e873786cd31b4bdf69b5981119953ebcbdeaf1988c98bf5a9703b/shiny-1.6.0-py3-none-any.whl", hash = "sha256:8e8ae840f565ecf4fb856a843fdc2d73c39e8ffe78141ccc29d802ecfce3657b", size = 3908742, upload-time = "2026-03-20T20:42:56.535Z" }, +] + +[[package]] +name = "shinychat" +version = "0.2.9" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "htmltools" }, + { name = "shiny" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/47/34/4aae4d21ae2603b40a99ce12d34848f271c076cbb112aac528242093751d/shinychat-0.2.9.tar.gz", hash = "sha256:59d48522dc0d04d0a89bbf33d3e1a9b5b21378405563d0692f1abff151f2d1aa", size = 547957, upload-time = "2026-02-09T15:58:09.117Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8d/27/f1115e431e7156b268c5792b15a3abbe12ed5b45dd9f96f041da93ae9335/shinychat-0.2.9-py3-none-any.whl", hash = "sha256:20e2101b22dfa2eeb5318e95b622e62ddcf5f2dd8cebe870c36673dd8eb4d901", size = 561839, upload-time = "2026-02-09T15:58:07.279Z" }, +] + +[[package]] +name = "six" +version = "1.17.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" }, +] + +[[package]] +name = "snirf" +version = "0.8.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama" }, + { name = "h5py" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pip" }, + { name = "setuptools" }, + { name = "termcolor" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/94/18/3ce90a74443e9d598473f28a18fbbbffa6b7cb30ea6eb58b56dc5530dcc0/snirf-0.8.0.tar.gz", hash = "sha256:e78f207608b986ab2df773bba3475895a792ee699451423ca5f0cfad50a17b8a", size = 57904, upload-time = "2024-05-28T17:25:43.425Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/8c/10fe07c52104f2be8efec7dac377248a9f5be3096d50b1418f115242cbd0/snirf-0.8.0-py3-none-any.whl", hash = "sha256:85eed4f9e7bb1d98f3afb4751607da20dd216bdcb159090a212abc9815b12cbe", size = 55164, upload-time = "2024-05-28T17:25:41.496Z" }, +] + +[[package]] +name = "soupsieve" +version = "2.8.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/7b/ae/2d9c981590ed9999a0d91755b47fc74f74de286b0f5cee14c9269041e6c4/soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349", size = 118627, upload-time = "2026-01-20T04:27:02.457Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/46/2c/1462b1d0a634697ae9e55b3cecdcb64788e8b7d63f54d923fcd0bb140aed/soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95", size = 37016, upload-time = "2026-01-20T04:27:01.012Z" }, +] + +[[package]] +name = "stack-data" +version = "0.6.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "asttokens" }, + { name = "executing" }, + { name = "pure-eval" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/28/e3/55dcc2cfbc3ca9c29519eb6884dd1415ecb53b0e934862d3559ddcb7e20b/stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9", size = 44707, upload-time = "2023-09-30T13:58:05.479Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695", size = 24521, upload-time = "2023-09-30T13:58:03.53Z" }, +] + +[[package]] +name = "starlette" +version = "1.0.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/81/69/17425771797c36cded50b7fe44e850315d039f28b15901ab44839e70b593/starlette-1.0.0.tar.gz", hash = "sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149", size = 2655289, upload-time = "2026-03-22T18:29:46.779Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0b/c9/584bc9651441b4ba60cc4d557d8a547b5aff901af35bda3a4ee30c819b82/starlette-1.0.0-py3-none-any.whl", hash = "sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b", size = 72651, upload-time = "2026-03-22T18:29:45.111Z" }, +] + +[[package]] +name = "statsmodels" +version = "0.14.6" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "patsy" }, + { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0d/81/e8d74b34f85285f7335d30c5e3c2d7c0346997af9f3debf9a0a9a63de184/statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a", size = 20689085, upload-time = "2025-12-05T23:08:39.522Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b5/6d/9ec309a175956f88eb8420ac564297f37cf9b1f73f89db74da861052dc29/statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0", size = 10142419, upload-time = "2025-12-05T19:27:35.625Z" }, + { url = "https://files.pythonhosted.org/packages/86/8f/338c5568315ec5bf3ac7cd4b71e34b98cb3b0f834919c0c04a0762f878a1/statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9", size = 10022819, upload-time = "2025-12-05T19:27:49.385Z" }, + { url = "https://files.pythonhosted.org/packages/b0/77/5fc4cbc2d608f9b483b0675f82704a8bcd672962c379fe4d82100d388dbf/statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e93bd5d220f3cb6fc5fc1bffd5b094966cab8ee99f6c57c02e95710513d6ac3f", size = 10118927, upload-time = "2025-12-05T23:07:51.256Z" }, + { url = "https://files.pythonhosted.org/packages/94/55/b86c861c32186403fe121d9ab27bc16d05839b170d92a978beb33abb995e/statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06eec42d682fdb09fe5d70a05930857efb141754ec5a5056a03304c1b5e32fd9", size = 10413015, upload-time = "2025-12-05T23:08:53.95Z" }, + { url = "https://files.pythonhosted.org/packages/f9/be/daf0dba729ccdc4176605f4a0fd5cfe71cdda671749dca10e74a732b8b1c/statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0444e88557df735eda7db330806fe09d51c9f888bb1f5906cb3a61fb1a3ed4a8", size = 10441248, upload-time = "2025-12-05T23:09:09.353Z" }, + { url = "https://files.pythonhosted.org/packages/9a/1c/2e10b7c7cc44fa418272996bf0427b8016718fd62f995d9c1f7ab37adf35/statsmodels-0.14.6-cp310-cp310-win_amd64.whl", hash = "sha256:e83a9abe653835da3b37fb6ae04b45480c1de11b3134bd40b09717192a1456ea", size = 9583410, upload-time = "2025-12-05T19:28:02.086Z" }, + { url = "https://files.pythonhosted.org/packages/a9/4d/df4dd089b406accfc3bb5ee53ba29bb3bdf5ae61643f86f8f604baa57656/statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4", size = 10121514, upload-time = "2025-12-05T19:28:16.521Z" }, + { url = "https://files.pythonhosted.org/packages/82/af/ec48daa7f861f993b91a0dcc791d66e1cf56510a235c5cbd2ab991a31d5c/statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6", size = 10003346, upload-time = "2025-12-05T19:28:29.568Z" }, + { url = "https://files.pythonhosted.org/packages/a9/2c/c8f7aa24cd729970728f3f98822fb45149adc216f445a9301e441f7ac760/statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb", size = 10129872, upload-time = "2025-12-05T23:09:25.724Z" }, + { url = "https://files.pythonhosted.org/packages/40/c6/9ae8e9b0721e9b6eb5f340c3a0ce8cd7cce4f66e03dd81f80d60f111987f/statsmodels-0.14.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a3764ba8195c9baf0925a96da0743ff218067a269f01d155ca3558deed2658ca", size = 10381964, upload-time = "2025-12-05T23:09:41.326Z" }, + { url = "https://files.pythonhosted.org/packages/28/8c/cf3d30c8c2da78e2ad1f50ade8b7fabec3ff4cdfc56fbc02e097c4577f90/statsmodels-0.14.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9e8d2e519852adb1b420e018f5ac6e6684b2b877478adf7fda2cfdb58f5acb5d", size = 10409611, upload-time = "2025-12-05T23:09:57.131Z" }, + { url = "https://files.pythonhosted.org/packages/bf/cc/018f14ecb58c6cb89de9d52695740b7d1f5a982aa9ea312483ea3c3d5f77/statsmodels-0.14.6-cp311-cp311-win_amd64.whl", hash = "sha256:2738a00fca51196f5a7d44b06970ace6b8b30289839e4808d656f8a98e35faa7", size = 9580385, upload-time = "2025-12-05T19:28:42.778Z" }, + { url = "https://files.pythonhosted.org/packages/25/ce/308e5e5da57515dd7cab3ec37ea2d5b8ff50bef1fcc8e6d31456f9fae08e/statsmodels-0.14.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fe76140ae7adc5ff0e60a3f0d56f4fffef484efa803c3efebf2fcd734d72ecb5", size = 10091932, upload-time = "2025-12-05T19:28:55.446Z" }, + { url = "https://files.pythonhosted.org/packages/05/30/affbabf3c27fb501ec7b5808230c619d4d1a4525c07301074eb4bda92fa9/statsmodels-0.14.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26d4f0ed3b31f3c86f83a92f5c1f5cbe63fc992cd8915daf28ca49be14463a1c", size = 9997345, upload-time = "2025-12-05T19:29:10.278Z" }, + { url = "https://files.pythonhosted.org/packages/48/f5/3a73b51e6450c31652c53a8e12e24eac64e3824be816c0c2316e7dbdcb7d/statsmodels-0.14.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d8c00a42863e4f4733ac9d078bbfad816249c01451740e6f5053ecc7db6d6368", size = 10058649, upload-time = "2025-12-05T23:10:12.775Z" }, + { url = "https://files.pythonhosted.org/packages/81/68/dddd76117df2ef14c943c6bbb6618be5c9401280046f4ddfc9fb4596a1b8/statsmodels-0.14.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:19b58cf7474aa9e7e3b0771a66537148b2df9b5884fbf156096c0e6c1ff0469d", size = 10339446, upload-time = "2025-12-05T23:10:28.503Z" }, + { url = "https://files.pythonhosted.org/packages/56/4a/dce451c74c4050535fac1ec0c14b80706d8fc134c9da22db3c8a0ec62c33/statsmodels-0.14.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:81e7dcc5e9587f2567e52deaff5220b175bf2f648951549eae5fc9383b62bc37", size = 10368705, upload-time = "2025-12-05T23:10:44.339Z" }, + { url = "https://files.pythonhosted.org/packages/60/15/3daba2df40be8b8a9a027d7f54c8dedf24f0d81b96e54b52293f5f7e3418/statsmodels-0.14.6-cp312-cp312-win_amd64.whl", hash = "sha256:b5eb07acd115aa6208b4058211138393a7e6c2cf12b6f213ede10f658f6a714f", size = 9543991, upload-time = "2025-12-05T23:10:58.536Z" }, + { url = "https://files.pythonhosted.org/packages/81/59/a5aad5b0cc266f5be013db8cde563ac5d2a025e7efc0c328d83b50c72992/statsmodels-0.14.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:47ee7af083623d2091954fa71c7549b8443168f41b7c5dce66510274c50fd73e", size = 10072009, upload-time = "2025-12-05T23:11:14.021Z" }, + { url = "https://files.pythonhosted.org/packages/53/dd/d8cfa7922fc6dc3c56fa6c59b348ea7de829a94cd73208c6f8202dd33f17/statsmodels-0.14.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:aa60d82e29fcd0a736e86feb63a11d2380322d77a9369a54be8b0965a3985f71", size = 9980018, upload-time = "2025-12-05T23:11:30.907Z" }, + { url = "https://files.pythonhosted.org/packages/ee/77/0ec96803eba444efd75dba32f2ef88765ae3e8f567d276805391ec2c98c6/statsmodels-0.14.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:89ee7d595f5939cc20bf946faedcb5137d975f03ae080f300ebb4398f16a5bd4", size = 10060269, upload-time = "2025-12-05T23:11:46.338Z" }, + { url = "https://files.pythonhosted.org/packages/10/b9/fd41f1f6af13a1a1212a06bb377b17762feaa6d656947bf666f76300fc05/statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589", size = 10324155, upload-time = "2025-12-05T23:12:01.805Z" }, + { url = "https://files.pythonhosted.org/packages/ee/0f/a6900e220abd2c69cd0a07e3ad26c71984be6061415a60e0f17b152ecf08/statsmodels-0.14.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f1c08befa85e93acc992b72a390ddb7bd876190f1360e61d10cf43833463bc9c", size = 10349765, upload-time = "2025-12-05T23:12:18.018Z" }, + { url = "https://files.pythonhosted.org/packages/98/08/b79f0c614f38e566eebbdcff90c0bcacf3c6ba7a5bbb12183c09c29ca400/statsmodels-0.14.6-cp313-cp313-win_amd64.whl", hash = "sha256:8021271a79f35b842c02a1794465a651a9d06ec2080f76ebc3b7adce77d08233", size = 9540043, upload-time = "2025-12-05T23:12:33.887Z" }, + { url = "https://files.pythonhosted.org/packages/71/de/09540e870318e0c7b58316561d417be45eff731263b4234fdd2eee3511a8/statsmodels-0.14.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:00781869991f8f02ad3610da6627fd26ebe262210287beb59761982a8fa88cae", size = 10069403, upload-time = "2025-12-05T23:12:48.424Z" }, + { url = "https://files.pythonhosted.org/packages/ab/f0/63c1bfda75dc53cee858006e1f46bd6d6f883853bea1b97949d0087766ca/statsmodels-0.14.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:73f305fbf31607b35ce919fae636ab8b80d175328ed38fdc6f354e813b86ee37", size = 9989253, upload-time = "2025-12-05T23:13:05.274Z" }, + { url = "https://files.pythonhosted.org/packages/c1/98/b0dfb4f542b2033a3341aa5f1bdd97024230a4ad3670c5b0839d54e3dcab/statsmodels-0.14.6-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e443e7077a6e2d3faeea72f5a92c9f12c63722686eb80bb40a0f04e4a7e267ad", size = 10090802, upload-time = "2025-12-05T23:13:20.653Z" }, + { url = "https://files.pythonhosted.org/packages/34/0e/2408735aca9e764643196212f9069912100151414dd617d39ffc72d77eee/statsmodels-0.14.6-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3414e40c073d725007a6603a18247ab7af3467e1af4a5e5a24e4c27bc26673b4", size = 10337587, upload-time = "2025-12-05T23:13:37.597Z" }, + { url = "https://files.pythonhosted.org/packages/0f/36/4d44f7035ab3c0b2b6a4c4ebb98dedf36246ccbc1b3e2f51ebcd7ac83abb/statsmodels-0.14.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a518d3f9889ef920116f9fa56d0338069e110f823926356946dae83bc9e33e19", size = 10363350, upload-time = "2025-12-05T23:13:53.08Z" }, + { url = "https://files.pythonhosted.org/packages/26/33/f1652d0c59fa51de18492ee2345b65372550501ad061daa38f950be390b6/statsmodels-0.14.6-cp314-cp314-win_amd64.whl", hash = "sha256:151b73e29f01fe619dbce7f66d61a356e9d1fe5e906529b78807df9189c37721", size = 9588010, upload-time = "2025-12-05T23:14:07.28Z" }, +] + +[[package]] +name = "sympy" +version = "1.14.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "mpmath" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/83/d3/803453b36afefb7c2bb238361cd4ae6125a569b4db67cd9e79846ba2d68c/sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517", size = 7793921, upload-time = "2025-04-27T18:05:01.611Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5", size = 6299353, upload-time = "2025-04-27T18:04:59.103Z" }, +] + +[[package]] +name = "tabulate" +version = "0.10.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/46/58/8c37dea7bbf769b20d58e7ace7e5edfe65b849442b00ffcdd56be88697c6/tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d", size = 91754, upload-time = "2026-03-04T18:55:34.402Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/99/55/db07de81b5c630da5cbf5c7df646580ca26dfaefa593667fc6f2fe016d2e/tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3", size = 39814, upload-time = "2026-03-04T18:55:31.284Z" }, +] + +[[package]] +name = "termcolor" +version = "3.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/46/79/cf31d7a93a8fdc6aa0fbb665be84426a8c5a557d9240b6239e9e11e35fc5/termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5", size = 14434, upload-time = "2025-12-29T12:55:21.882Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/33/d1/8bb87d21e9aeb323cc03034f5eaf2c8f69841e40e4853c2627edf8111ed3/termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5", size = 7734, upload-time = "2025-12-29T12:55:20.718Z" }, +] + +[[package]] +name = "terminado" +version = "0.18.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ptyprocess", marker = "os_name != 'nt'" }, + { name = "pywinpty", marker = "os_name == 'nt'" }, + { name = "tornado" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/8a/11/965c6fd8e5cc254f1fe142d547387da17a8ebfd75a3455f637c663fb38a0/terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e", size = 32701, upload-time = "2024-03-12T14:34:39.026Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0", size = 14154, upload-time = "2024-03-12T14:34:36.569Z" }, +] + +[[package]] +name = "threadpoolctl" +version = "3.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b7/4d/08c89e34946fce2aec4fbb45c9016efd5f4d7f24af8e5d93296e935631d8/threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e", size = 21274, upload-time = "2025-03-13T13:49:23.031Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638, upload-time = "2025-03-13T13:49:21.846Z" }, +] + +[[package]] +name = "tifffile" +version = "2025.5.10" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/44/d0/18fed0fc0916578a4463f775b0fbd9c5fed2392152d039df2fb533bfdd5d/tifffile-2025.5.10.tar.gz", hash = "sha256:018335d34283aa3fd8c263bae5c3c2b661ebc45548fde31504016fcae7bf1103", size = 365290, upload-time = "2025-05-10T19:22:34.386Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/5d/06/bd0a6097da704a7a7c34a94cfd771c3ea3c2f405dd214e790d22c93f6be1/tifffile-2025.5.10-py3-none-any.whl", hash = "sha256:e37147123c0542d67bc37ba5cdd67e12ea6fbe6e86c52bee037a9eb6a064e5ad", size = 226533, upload-time = "2025-05-10T19:22:27.279Z" }, +] + +[[package]] +name = "tifffile" +version = "2026.3.3" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c5/cb/2f6d79c7576e22c116352a801f4c3c8ace5957e9aced862012430b62e14f/tifffile-2026.3.3.tar.gz", hash = "sha256:d9a1266bed6f2ee1dd0abde2018a38b4f8b2935cb843df381d70ac4eac5458b7", size = 388745, upload-time = "2026-03-03T19:14:38.134Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1a/e4/e804505f87627cd8cdae9c010c47c4485fd8c1ce31a7dd0ab7fcc4707377/tifffile-2026.3.3-py3-none-any.whl", hash = "sha256:e8be15c94273113d31ecb7aa3a39822189dd11c4967e3cc88c178f1ad2fd1170", size = 243960, upload-time = "2026-03-03T19:14:35.808Z" }, +] + +[[package]] +name = "tinycss2" +version = "1.4.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "webencodings" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7a/fd/7a5ee21fd08ff70d3d33a5781c255cbe779659bd03278feb98b19ee550f4/tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7", size = 87085, upload-time = "2024-10-24T14:58:29.895Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload-time = "2024-10-24T14:58:28.029Z" }, +] + +[[package]] +name = "tomli" +version = "2.4.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/82/30/31573e9457673ab10aa432461bee537ce6cef177667deca369efb79df071/tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c", size = 17477, upload-time = "2026-01-11T11:22:38.165Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3c/d9/3dc2289e1f3b32eb19b9785b6a006b28ee99acb37d1d47f78d4c10e28bf8/tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867", size = 153663, upload-time = "2026-01-11T11:21:45.27Z" }, + { url = "https://files.pythonhosted.org/packages/51/32/ef9f6845e6b9ca392cd3f64f9ec185cc6f09f0a2df3db08cbe8809d1d435/tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9", size = 148469, upload-time = "2026-01-11T11:21:46.873Z" }, + { url = "https://files.pythonhosted.org/packages/d6/c2/506e44cce89a8b1b1e047d64bd495c22c9f71f21e05f380f1a950dd9c217/tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95", size = 236039, upload-time = "2026-01-11T11:21:48.503Z" }, + { url = "https://files.pythonhosted.org/packages/b3/40/e1b65986dbc861b7e986e8ec394598187fa8aee85b1650b01dd925ca0be8/tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76", size = 243007, upload-time = "2026-01-11T11:21:49.456Z" }, + { url = "https://files.pythonhosted.org/packages/9c/6f/6e39ce66b58a5b7ae572a0f4352ff40c71e8573633deda43f6a379d56b3e/tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d", size = 240875, upload-time = "2026-01-11T11:21:50.755Z" }, + { url = "https://files.pythonhosted.org/packages/aa/ad/cb089cb190487caa80204d503c7fd0f4d443f90b95cf4ef5cf5aa0f439b0/tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576", size = 246271, upload-time = "2026-01-11T11:21:51.81Z" }, + { url = "https://files.pythonhosted.org/packages/0b/63/69125220e47fd7a3a27fd0de0c6398c89432fec41bc739823bcc66506af6/tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a", size = 96770, upload-time = "2026-01-11T11:21:52.647Z" }, + { url = "https://files.pythonhosted.org/packages/1e/0d/a22bb6c83f83386b0008425a6cd1fa1c14b5f3dd4bad05e98cf3dbbf4a64/tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa", size = 107626, upload-time = "2026-01-11T11:21:53.459Z" }, + { url = "https://files.pythonhosted.org/packages/2f/6d/77be674a3485e75cacbf2ddba2b146911477bd887dda9d8c9dfb2f15e871/tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614", size = 94842, upload-time = "2026-01-11T11:21:54.831Z" }, + { url = "https://files.pythonhosted.org/packages/3c/43/7389a1869f2f26dba52404e1ef13b4784b6b37dac93bac53457e3ff24ca3/tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1", size = 154894, upload-time = "2026-01-11T11:21:56.07Z" }, + { url = "https://files.pythonhosted.org/packages/e9/05/2f9bf110b5294132b2edf13fe6ca6ae456204f3d749f623307cbb7a946f2/tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8", size = 149053, upload-time = "2026-01-11T11:21:57.467Z" }, + { url = "https://files.pythonhosted.org/packages/e8/41/1eda3ca1abc6f6154a8db4d714a4d35c4ad90adc0bcf700657291593fbf3/tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a", size = 243481, upload-time = "2026-01-11T11:21:58.661Z" }, + { url = "https://files.pythonhosted.org/packages/d2/6d/02ff5ab6c8868b41e7d4b987ce2b5f6a51d3335a70aa144edd999e055a01/tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1", size = 251720, upload-time = "2026-01-11T11:22:00.178Z" }, + { url = "https://files.pythonhosted.org/packages/7b/57/0405c59a909c45d5b6f146107c6d997825aa87568b042042f7a9c0afed34/tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b", size = 247014, upload-time = "2026-01-11T11:22:01.238Z" }, + { url = "https://files.pythonhosted.org/packages/2c/0e/2e37568edd944b4165735687cbaf2fe3648129e440c26d02223672ee0630/tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51", size = 251820, upload-time = "2026-01-11T11:22:02.727Z" }, + { url = "https://files.pythonhosted.org/packages/5a/1c/ee3b707fdac82aeeb92d1a113f803cf6d0f37bdca0849cb489553e1f417a/tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729", size = 97712, upload-time = "2026-01-11T11:22:03.777Z" }, + { url = "https://files.pythonhosted.org/packages/69/13/c07a9177d0b3bab7913299b9278845fc6eaaca14a02667c6be0b0a2270c8/tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da", size = 108296, upload-time = "2026-01-11T11:22:04.86Z" }, + { url = "https://files.pythonhosted.org/packages/18/27/e267a60bbeeee343bcc279bb9e8fbed0cbe224bc7b2a3dc2975f22809a09/tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3", size = 94553, upload-time = "2026-01-11T11:22:05.854Z" }, + { url = "https://files.pythonhosted.org/packages/34/91/7f65f9809f2936e1f4ce6268ae1903074563603b2a2bd969ebbda802744f/tomli-2.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0", size = 154915, upload-time = "2026-01-11T11:22:06.703Z" }, + { url = "https://files.pythonhosted.org/packages/20/aa/64dd73a5a849c2e8f216b755599c511badde80e91e9bc2271baa7b2cdbb1/tomli-2.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e", size = 149038, upload-time = "2026-01-11T11:22:07.56Z" }, + { url = "https://files.pythonhosted.org/packages/9e/8a/6d38870bd3d52c8d1505ce054469a73f73a0fe62c0eaf5dddf61447e32fa/tomli-2.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4", size = 242245, upload-time = "2026-01-11T11:22:08.344Z" }, + { url = "https://files.pythonhosted.org/packages/59/bb/8002fadefb64ab2669e5b977df3f5e444febea60e717e755b38bb7c41029/tomli-2.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e", size = 250335, upload-time = "2026-01-11T11:22:09.951Z" }, + { url = "https://files.pythonhosted.org/packages/a5/3d/4cdb6f791682b2ea916af2de96121b3cb1284d7c203d97d92d6003e91c8d/tomli-2.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c", size = 245962, upload-time = "2026-01-11T11:22:11.27Z" }, + { url = "https://files.pythonhosted.org/packages/f2/4a/5f25789f9a460bd858ba9756ff52d0830d825b458e13f754952dd15fb7bb/tomli-2.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f", size = 250396, upload-time = "2026-01-11T11:22:12.325Z" }, + { url = "https://files.pythonhosted.org/packages/aa/2f/b73a36fea58dfa08e8b3a268750e6853a6aac2a349241a905ebd86f3047a/tomli-2.4.0-cp313-cp313-win32.whl", hash = "sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86", size = 97530, upload-time = "2026-01-11T11:22:13.865Z" }, + { url = "https://files.pythonhosted.org/packages/3b/af/ca18c134b5d75de7e8dc551c5234eaba2e8e951f6b30139599b53de9c187/tomli-2.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87", size = 108227, upload-time = "2026-01-11T11:22:15.224Z" }, + { url = "https://files.pythonhosted.org/packages/22/c3/b386b832f209fee8073c8138ec50f27b4460db2fdae9ffe022df89a57f9b/tomli-2.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132", size = 94748, upload-time = "2026-01-11T11:22:16.009Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c4/84047a97eb1004418bc10bdbcfebda209fca6338002eba2dc27cc6d13563/tomli-2.4.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6", size = 154725, upload-time = "2026-01-11T11:22:17.269Z" }, + { url = "https://files.pythonhosted.org/packages/a8/5d/d39038e646060b9d76274078cddf146ced86dc2b9e8bbf737ad5983609a0/tomli-2.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc", size = 148901, upload-time = "2026-01-11T11:22:18.287Z" }, + { url = "https://files.pythonhosted.org/packages/73/e5/383be1724cb30f4ce44983d249645684a48c435e1cd4f8b5cded8a816d3c/tomli-2.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66", size = 243375, upload-time = "2026-01-11T11:22:19.154Z" }, + { url = "https://files.pythonhosted.org/packages/31/f0/bea80c17971c8d16d3cc109dc3585b0f2ce1036b5f4a8a183789023574f2/tomli-2.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d", size = 250639, upload-time = "2026-01-11T11:22:20.168Z" }, + { url = "https://files.pythonhosted.org/packages/2c/8f/2853c36abbb7608e3f945d8a74e32ed3a74ee3a1f468f1ffc7d1cb3abba6/tomli-2.4.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702", size = 246897, upload-time = "2026-01-11T11:22:21.544Z" }, + { url = "https://files.pythonhosted.org/packages/49/f0/6c05e3196ed5337b9fe7ea003e95fd3819a840b7a0f2bf5a408ef1dad8ed/tomli-2.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8", size = 254697, upload-time = "2026-01-11T11:22:23.058Z" }, + { url = "https://files.pythonhosted.org/packages/f3/f5/2922ef29c9f2951883525def7429967fc4d8208494e5ab524234f06b688b/tomli-2.4.0-cp314-cp314-win32.whl", hash = "sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776", size = 98567, upload-time = "2026-01-11T11:22:24.033Z" }, + { url = "https://files.pythonhosted.org/packages/7b/31/22b52e2e06dd2a5fdbc3ee73226d763b184ff21fc24e20316a44ccc4d96b/tomli-2.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475", size = 108556, upload-time = "2026-01-11T11:22:25.378Z" }, + { url = "https://files.pythonhosted.org/packages/48/3d/5058dff3255a3d01b705413f64f4306a141a8fd7a251e5a495e3f192a998/tomli-2.4.0-cp314-cp314-win_arm64.whl", hash = "sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2", size = 96014, upload-time = "2026-01-11T11:22:26.138Z" }, + { url = "https://files.pythonhosted.org/packages/b8/4e/75dab8586e268424202d3a1997ef6014919c941b50642a1682df43204c22/tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9", size = 163339, upload-time = "2026-01-11T11:22:27.143Z" }, + { url = "https://files.pythonhosted.org/packages/06/e3/b904d9ab1016829a776d97f163f183a48be6a4deb87304d1e0116a349519/tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0", size = 159490, upload-time = "2026-01-11T11:22:28.399Z" }, + { url = "https://files.pythonhosted.org/packages/e3/5a/fc3622c8b1ad823e8ea98a35e3c632ee316d48f66f80f9708ceb4f2a0322/tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df", size = 269398, upload-time = "2026-01-11T11:22:29.345Z" }, + { url = "https://files.pythonhosted.org/packages/fd/33/62bd6152c8bdd4c305ad9faca48f51d3acb2df1f8791b1477d46ff86e7f8/tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d", size = 276515, upload-time = "2026-01-11T11:22:30.327Z" }, + { url = "https://files.pythonhosted.org/packages/4b/ff/ae53619499f5235ee4211e62a8d7982ba9e439a0fb4f2f351a93d67c1dd2/tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f", size = 273806, upload-time = "2026-01-11T11:22:32.56Z" }, + { url = "https://files.pythonhosted.org/packages/47/71/cbca7787fa68d4d0a9f7072821980b39fbb1b6faeb5f5cf02f4a5559fa28/tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b", size = 281340, upload-time = "2026-01-11T11:22:33.505Z" }, + { url = "https://files.pythonhosted.org/packages/f5/00/d595c120963ad42474cf6ee7771ad0d0e8a49d0f01e29576ee9195d9ecdf/tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087", size = 108106, upload-time = "2026-01-11T11:22:34.451Z" }, + { url = "https://files.pythonhosted.org/packages/de/69/9aa0c6a505c2f80e519b43764f8b4ba93b5a0bbd2d9a9de6e2b24271b9a5/tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd", size = 120504, upload-time = "2026-01-11T11:22:35.764Z" }, + { url = "https://files.pythonhosted.org/packages/b3/9f/f1668c281c58cfae01482f7114a4b88d345e4c140386241a1a24dcc9e7bc/tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4", size = 99561, upload-time = "2026-01-11T11:22:36.624Z" }, + { url = "https://files.pythonhosted.org/packages/23/d1/136eb2cb77520a31e1f64cbae9d33ec6df0d78bdf4160398e86eec8a8754/tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a", size = 14477, upload-time = "2026-01-11T11:22:37.446Z" }, +] + +[[package]] +name = "tomlkit" +version = "0.14.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c3/af/14b24e41977adb296d6bd1fb59402cf7d60ce364f90c890bd2ec65c43b5a/tomlkit-0.14.0.tar.gz", hash = "sha256:cf00efca415dbd57575befb1f6634c4f42d2d87dbba376128adb42c121b87064", size = 187167, upload-time = "2026-01-13T01:14:53.304Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/b5/11/87d6d29fb5d237229d67973a6c9e06e048f01cf4994dee194ab0ea841814/tomlkit-0.14.0-py3-none-any.whl", hash = "sha256:592064ed85b40fa213469f81ac584f67a4f2992509a7c3ea2d632208623a3680", size = 39310, upload-time = "2026-01-13T01:14:51.965Z" }, +] + +[[package]] +name = "torch" +version = "2.10.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "cuda-bindings", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "filelock" }, + { name = "fsspec" }, + { name = "jinja2" }, + { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cufile-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cusparselt-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nvshmem-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "setuptools", marker = "python_full_version >= '3.12'" }, + { name = "sympy" }, + { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "typing-extensions" }, +] +wheels = [ + { url = "https://files.pythonhosted.org/packages/5b/30/bfebdd8ec77db9a79775121789992d6b3b75ee5494971294d7b4b7c999bc/torch-2.10.0-2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:2b980edd8d7c0a68c4e951ee1856334a43193f98730d97408fbd148c1a933313", size = 79411457, upload-time = "2026-02-10T21:44:59.189Z" }, + { url = "https://files.pythonhosted.org/packages/0f/8b/4b61d6e13f7108f36910df9ab4b58fd389cc2520d54d81b88660804aad99/torch-2.10.0-2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:418997cb02d0a0f1497cf6a09f63166f9f5df9f3e16c8a716ab76a72127c714f", size = 79423467, upload-time = "2026-02-10T21:44:48.711Z" }, + { url = "https://files.pythonhosted.org/packages/d3/54/a2ba279afcca44bbd320d4e73675b282fcee3d81400ea1b53934efca6462/torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:13ec4add8c3faaed8d13e0574f5cd4a323c11655546f91fbe6afa77b57423574", size = 79498202, upload-time = "2026-02-10T21:44:52.603Z" }, + { url = "https://files.pythonhosted.org/packages/ec/23/2c9fe0c9c27f7f6cb865abcea8a4568f29f00acaeadfc6a37f6801f84cb4/torch-2.10.0-2-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:e521c9f030a3774ed770a9c011751fb47c4d12029a3d6522116e48431f2ff89e", size = 79498254, upload-time = "2026-02-10T21:44:44.095Z" }, + { url = "https://files.pythonhosted.org/packages/16/ee/efbd56687be60ef9af0c9c0ebe106964c07400eade5b0af8902a1d8cd58c/torch-2.10.0-3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a1ff626b884f8c4e897c4c33782bdacdff842a165fee79817b1dd549fdda1321", size = 915510070, upload-time = "2026-03-11T14:16:39.386Z" }, + { url = "https://files.pythonhosted.org/packages/36/ab/7b562f1808d3f65414cd80a4f7d4bb00979d9355616c034c171249e1a303/torch-2.10.0-3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ac5bdcbb074384c66fa160c15b1ead77839e3fe7ed117d667249afce0acabfac", size = 915518691, upload-time = "2026-03-11T14:15:43.147Z" }, + { url = "https://files.pythonhosted.org/packages/b3/7a/abada41517ce0011775f0f4eacc79659bc9bc6c361e6bfe6f7052a6b9363/torch-2.10.0-3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:98c01b8bb5e3240426dcde1446eed6f40c778091c8544767ef1168fc663a05a6", size = 915622781, upload-time = "2026-03-11T14:17:11.354Z" }, + { url = "https://files.pythonhosted.org/packages/ab/c6/4dfe238342ffdcec5aef1c96c457548762d33c40b45a1ab7033bb26d2ff2/torch-2.10.0-3-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:80b1b5bfe38eb0e9f5ff09f206dcac0a87aadd084230d4a36eea5ec5232c115b", size = 915627275, upload-time = "2026-03-11T14:16:11.325Z" }, + { url = "https://files.pythonhosted.org/packages/d8/f0/72bf18847f58f877a6a8acf60614b14935e2f156d942483af1ffc081aea0/torch-2.10.0-3-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:46b3574d93a2a8134b3f5475cfb98e2eb46771794c57015f6ad1fb795ec25e49", size = 915523474, upload-time = "2026-03-11T14:17:44.422Z" }, + { url = "https://files.pythonhosted.org/packages/f4/39/590742415c3030551944edc2ddc273ea1fdfe8ffb2780992e824f1ebee98/torch-2.10.0-3-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:b1d5e2aba4eb7f8e87fbe04f86442887f9167a35f092afe4c237dfcaaef6e328", size = 915632474, upload-time = "2026-03-11T14:15:13.666Z" }, + { url = "https://files.pythonhosted.org/packages/b6/8e/34949484f764dde5b222b7fe3fede43e4a6f0da9d7f8c370bb617d629ee2/torch-2.10.0-3-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:0228d20b06701c05a8f978357f657817a4a63984b0c90745def81c18aedfa591", size = 915523882, upload-time = "2026-03-11T14:14:46.311Z" }, + { url = "https://files.pythonhosted.org/packages/0c/1a/c61f36cfd446170ec27b3a4984f072fd06dab6b5d7ce27e11adb35d6c838/torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d", size = 145992962, upload-time = "2026-01-21T16:24:14.04Z" }, + { url = "https://files.pythonhosted.org/packages/b5/60/6662535354191e2d1555296045b63e4279e5a9dbad49acf55a5d38655a39/torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:aaf663927bcd490ae971469a624c322202a2a1e68936eb952535ca4cd3b90444", size = 915599237, upload-time = "2026-01-21T16:23:25.497Z" }, + { url = "https://files.pythonhosted.org/packages/40/b8/66bbe96f0d79be2b5c697b2e0b187ed792a15c6c4b8904613454651db848/torch-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:a4be6a2a190b32ff5c8002a0977a25ea60e64f7ba46b1be37093c141d9c49aeb", size = 113720931, upload-time = "2026-01-21T16:24:23.743Z" }, + { url = "https://files.pythonhosted.org/packages/76/bb/d820f90e69cda6c8169b32a0c6a3ab7b17bf7990b8f2c680077c24a3c14c/torch-2.10.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:35e407430795c8d3edb07a1d711c41cc1f9eaddc8b2f1cc0a165a6767a8fb73d", size = 79411450, upload-time = "2026-01-21T16:25:30.692Z" }, + { url = "https://files.pythonhosted.org/packages/78/89/f5554b13ebd71e05c0b002f95148033e730d3f7067f67423026cc9c69410/torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4", size = 145992610, upload-time = "2026-01-21T16:25:26.327Z" }, + { url = "https://files.pythonhosted.org/packages/ae/30/a3a2120621bf9c17779b169fc17e3dc29b230c29d0f8222f499f5e159aa8/torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763", size = 915607863, upload-time = "2026-01-21T16:25:06.696Z" }, + { url = "https://files.pythonhosted.org/packages/6f/3d/c87b33c5f260a2a8ad68da7147e105f05868c281c63d65ed85aa4da98c66/torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd", size = 113723116, upload-time = "2026-01-21T16:25:21.916Z" }, + { url = "https://files.pythonhosted.org/packages/61/d8/15b9d9d3a6b0c01b883787bd056acbe5cc321090d4b216d3ea89a8fcfdf3/torch-2.10.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:b7bd80f3477b830dd166c707c5b0b82a898e7b16f59a7d9d42778dd058272e8b", size = 79423461, upload-time = "2026-01-21T16:24:50.266Z" }, + { url = "https://files.pythonhosted.org/packages/cc/af/758e242e9102e9988969b5e621d41f36b8f258bb4a099109b7a4b4b50ea4/torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:5fd4117d89ffd47e3dcc71e71a22efac24828ad781c7e46aaaf56bf7f2796acf", size = 145996088, upload-time = "2026-01-21T16:24:44.171Z" }, + { url = "https://files.pythonhosted.org/packages/23/8e/3c74db5e53bff7ed9e34c8123e6a8bfef718b2450c35eefab85bb4a7e270/torch-2.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:787124e7db3b379d4f1ed54dd12ae7c741c16a4d29b49c0226a89bea50923ffb", size = 915711952, upload-time = "2026-01-21T16:23:53.503Z" }, + { url = "https://files.pythonhosted.org/packages/6e/01/624c4324ca01f66ae4c7cd1b74eb16fb52596dce66dbe51eff95ef9e7a4c/torch-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c66c61f44c5f903046cc696d088e21062644cbe541c7f1c4eaae88b2ad23547", size = 113757972, upload-time = "2026-01-21T16:24:39.516Z" }, + { url = "https://files.pythonhosted.org/packages/c9/5c/dee910b87c4d5c0fcb41b50839ae04df87c1cfc663cf1b5fca7ea565eeaa/torch-2.10.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6d3707a61863d1c4d6ebba7be4ca320f42b869ee657e9b2c21c736bf17000294", size = 79498198, upload-time = "2026-01-21T16:24:34.704Z" }, + { url = "https://files.pythonhosted.org/packages/c9/6f/f2e91e34e3fcba2e3fc8d8f74e7d6c22e74e480bbd1db7bc8900fdf3e95c/torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5c4d217b14741e40776dd7074d9006fd28b8a97ef5654db959d8635b2fe5f29b", size = 146004247, upload-time = "2026-01-21T16:24:29.335Z" }, + { url = "https://files.pythonhosted.org/packages/98/fb/5160261aeb5e1ee12ee95fe599d0541f7c976c3701d607d8fc29e623229f/torch-2.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6b71486353fce0f9714ca0c9ef1c850a2ae766b409808acd58e9678a3edb7738", size = 915716445, upload-time = "2026-01-21T16:22:45.353Z" }, + { url = "https://files.pythonhosted.org/packages/6a/16/502fb1b41e6d868e8deb5b0e3ae926bbb36dab8ceb0d1b769b266ad7b0c3/torch-2.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:c2ee399c644dc92ef7bc0d4f7e74b5360c37cdbe7c5ba11318dda49ffac2bc57", size = 113757050, upload-time = "2026-01-21T16:24:19.204Z" }, + { url = "https://files.pythonhosted.org/packages/1a/0b/39929b148f4824bc3ad6f9f72a29d4ad865bcf7ebfc2fa67584773e083d2/torch-2.10.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:3202429f58309b9fa96a614885eace4b7995729f44beb54d3e4a47773649d382", size = 79851305, upload-time = "2026-01-21T16:24:09.209Z" }, + { url = "https://files.pythonhosted.org/packages/d8/14/21fbce63bc452381ba5f74a2c0a959fdf5ad5803ccc0c654e752e0dbe91a/torch-2.10.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:aae1b29cd68e50a9397f5ee897b9c24742e9e306f88a807a27d617f07adb3bd8", size = 146005472, upload-time = "2026-01-21T16:22:29.022Z" }, + { url = "https://files.pythonhosted.org/packages/54/fd/b207d1c525cb570ef47f3e9f836b154685011fce11a2f444ba8a4084d042/torch-2.10.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:6021db85958db2f07ec94e1bc77212721ba4920c12a18dc552d2ae36a3eb163f", size = 915612644, upload-time = "2026-01-21T16:21:47.019Z" }, + { url = "https://files.pythonhosted.org/packages/36/53/0197f868c75f1050b199fe58f9bf3bf3aecac9b4e85cc9c964383d745403/torch-2.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ff43db38af76fda183156153983c9a096fc4c78d0cd1e07b14a2314c7f01c2c8", size = 113997015, upload-time = "2026-01-21T16:23:00.767Z" }, + { url = "https://files.pythonhosted.org/packages/0e/13/e76b4d9c160e89fff48bf16b449ea324bda84745d2ab30294c37c2434c0d/torch-2.10.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:cdf2a523d699b70d613243211ecaac14fe9c5df8a0b0a9c02add60fb2a413e0f", size = 79498248, upload-time = "2026-01-21T16:23:09.315Z" }, + { url = "https://files.pythonhosted.org/packages/4f/93/716b5ac0155f1be70ed81bacc21269c3ece8dba0c249b9994094110bfc51/torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:bf0d9ff448b0218e0433aeb198805192346c4fd659c852370d5cc245f602a06a", size = 79464992, upload-time = "2026-01-21T16:23:05.162Z" }, + { url = "https://files.pythonhosted.org/packages/69/2b/51e663ff190c9d16d4a8271203b71bc73a16aa7619b9f271a69b9d4a936b/torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:233aed0659a2503b831d8a67e9da66a62c996204c0bba4f4c442ccc0c68a3f60", size = 146018567, upload-time = "2026-01-21T16:22:23.393Z" }, + { url = "https://files.pythonhosted.org/packages/5e/cd/4b95ef7f293b927c283db0b136c42be91c8ec6845c44de0238c8c23bdc80/torch-2.10.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:682497e16bdfa6efeec8cde66531bc8d1fbbbb4d8788ec6173c089ed3cc2bfe5", size = 915721646, upload-time = "2026-01-21T16:21:16.983Z" }, + { url = "https://files.pythonhosted.org/packages/56/97/078a007208f8056d88ae43198833469e61a0a355abc0b070edd2c085eb9a/torch-2.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:6528f13d2a8593a1a412ea07a99812495bec07e9224c28b2a25c0a30c7da025c", size = 113752373, upload-time = "2026-01-21T16:22:13.471Z" }, + { url = "https://files.pythonhosted.org/packages/d8/94/71994e7d0d5238393df9732fdab607e37e2b56d26a746cb59fdb415f8966/torch-2.10.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:f5ab4ba32383061be0fb74bda772d470140a12c1c3b58a0cfbf3dae94d164c28", size = 79850324, upload-time = "2026-01-21T16:22:09.494Z" }, + { url = "https://files.pythonhosted.org/packages/e2/65/1a05346b418ea8ccd10360eef4b3e0ce688fba544e76edec26913a8d0ee0/torch-2.10.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:716b01a176c2a5659c98f6b01bf868244abdd896526f1c692712ab36dbaf9b63", size = 146006482, upload-time = "2026-01-21T16:22:18.42Z" }, + { url = "https://files.pythonhosted.org/packages/1d/b9/5f6f9d9e859fc3235f60578fa64f52c9c6e9b4327f0fe0defb6de5c0de31/torch-2.10.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:d8f5912ba938233f86361e891789595ff35ca4b4e2ac8fe3670895e5976731d6", size = 915613050, upload-time = "2026-01-21T16:20:49.035Z" }, + { url = "https://files.pythonhosted.org/packages/66/4d/35352043ee0eaffdeff154fad67cd4a31dbed7ff8e3be1cc4549717d6d51/torch-2.10.0-cp314-cp314t-win_amd64.whl", hash = "sha256:71283a373f0ee2c89e0f0d5f446039bdabe8dbc3c9ccf35f0f784908b0acd185", size = 113995816, upload-time = "2026-01-21T16:22:05.312Z" }, +] + +[[package]] +name = "tornado" +version = "6.5.5" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/f8/f1/3173dfa4a18db4a9b03e5d55325559dab51ee653763bb8745a75af491286/tornado-6.5.5.tar.gz", hash = "sha256:192b8f3ea91bd7f1f50c06955416ed76c6b72f96779b962f07f911b91e8d30e9", size = 516006, upload-time = "2026-03-10T21:31:02.067Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/59/8c/77f5097695f4dd8255ecbd08b2a1ed8ba8b953d337804dd7080f199e12bf/tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa", size = 445983, upload-time = "2026-03-10T21:30:44.28Z" }, + { url = "https://files.pythonhosted.org/packages/ab/5e/7625b76cd10f98f1516c36ce0346de62061156352353ef2da44e5c21523c/tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521", size = 444246, upload-time = "2026-03-10T21:30:46.571Z" }, + { url = "https://files.pythonhosted.org/packages/b2/04/7b5705d5b3c0fab088f434f9c83edac1573830ca49ccf29fb83bf7178eec/tornado-6.5.5-cp39-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:e74c92e8e65086b338fd56333fb9a68b9f6f2fe7ad532645a290a464bcf46be5", size = 447229, upload-time = "2026-03-10T21:30:48.273Z" }, + { url = "https://files.pythonhosted.org/packages/34/01/74e034a30ef59afb4097ef8659515e96a39d910b712a89af76f5e4e1f93c/tornado-6.5.5-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:435319e9e340276428bbdb4e7fa732c2d399386d1de5686cb331ec8eee754f07", size = 448192, upload-time = "2026-03-10T21:30:51.22Z" }, + { url = "https://files.pythonhosted.org/packages/be/00/fe9e02c5a96429fce1a1d15a517f5d8444f9c412e0bb9eadfbe3b0fc55bf/tornado-6.5.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3f54aa540bdbfee7b9eb268ead60e7d199de5021facd276819c193c0fb28ea4e", size = 448039, upload-time = "2026-03-10T21:30:53.52Z" }, + { url = "https://files.pythonhosted.org/packages/82/9e/656ee4cec0398b1d18d0f1eb6372c41c6b889722641d84948351ae19556d/tornado-6.5.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:36abed1754faeb80fbd6e64db2758091e1320f6bba74a4cf8c09cd18ccce8aca", size = 447445, upload-time = "2026-03-10T21:30:55.541Z" }, + { url = "https://files.pythonhosted.org/packages/5a/76/4921c00511f88af86a33de770d64141170f1cfd9c00311aea689949e274e/tornado-6.5.5-cp39-abi3-win32.whl", hash = "sha256:dd3eafaaeec1c7f2f8fdcd5f964e8907ad788fe8a5a32c4426fbbdda621223b7", size = 448582, upload-time = "2026-03-10T21:30:57.142Z" }, + { url = "https://files.pythonhosted.org/packages/2c/23/f6c6112a04d28eed765e374435fb1a9198f73e1ec4b4024184f21faeb1ad/tornado-6.5.5-cp39-abi3-win_amd64.whl", hash = "sha256:6443a794ba961a9f619b1ae926a2e900ac20c34483eea67be4ed8f1e58d3ef7b", size = 448990, upload-time = "2026-03-10T21:30:58.857Z" }, + { url = "https://files.pythonhosted.org/packages/b7/c8/876602cbc96469911f0939f703453c1157b0c826ecb05bdd32e023397d4e/tornado-6.5.5-cp39-abi3-win_arm64.whl", hash = "sha256:2c9a876e094109333f888539ddb2de4361743e5d21eece20688e3e351e4990a6", size = 448016, upload-time = "2026-03-10T21:31:00.43Z" }, +] + +[[package]] +name = "tqdm" +version = "4.67.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/09/a9/6ba95a270c6f1fbcd8dac228323f2777d886cb206987444e4bce66338dd4/tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb", size = 169598, upload-time = "2026-02-03T17:35:53.048Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/16/e1/3079a9ff9b8e11b846c6ac5c8b5bfb7ff225eee721825310c91b3b50304f/tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf", size = 78374, upload-time = "2026-02-03T17:35:50.982Z" }, +] + +[[package]] +name = "traitlets" +version = "5.14.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/eb/79/72064e6a701c2183016abbbfedaba506d81e30e232a68c9f0d6f6fcd1574/traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7", size = 161621, upload-time = "2024-04-19T11:11:49.746Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f", size = 85359, upload-time = "2024-04-19T11:11:46.763Z" }, +] + +[[package]] +name = "triton" +version = "3.6.0" +source = { registry = "https://pypi.org/simple" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/8c/f7/f1c9d3424ab199ac53c2da567b859bcddbb9c9e7154805119f8bd95ec36f/triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea", size = 188105201, upload-time = "2026-01-20T16:00:29.272Z" }, + { url = "https://files.pythonhosted.org/packages/e0/12/b05ba554d2c623bffa59922b94b0775673de251f468a9609bc9e45de95e9/triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3", size = 188214640, upload-time = "2026-01-20T16:00:35.869Z" }, + { url = "https://files.pythonhosted.org/packages/ab/a8/cdf8b3e4c98132f965f88c2313a4b493266832ad47fb52f23d14d4f86bb5/triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca", size = 188266850, upload-time = "2026-01-20T16:00:43.041Z" }, + { url = "https://files.pythonhosted.org/packages/f9/0b/37d991d8c130ce81a8728ae3c25b6e60935838e9be1b58791f5997b24a54/triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9", size = 188289450, upload-time = "2026-01-20T16:00:49.136Z" }, + { url = "https://files.pythonhosted.org/packages/35/f8/9c66bfc55361ec6d0e4040a0337fb5924ceb23de4648b8a81ae9d33b2b38/triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f", size = 188400296, upload-time = "2026-01-20T16:00:56.042Z" }, + { url = "https://files.pythonhosted.org/packages/df/3d/9e7eee57b37c80cec63322c0231bb6da3cfe535a91d7a4d64896fcb89357/triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803", size = 188273063, upload-time = "2026-01-20T16:01:07.278Z" }, + { url = "https://files.pythonhosted.org/packages/f6/56/6113c23ff46c00aae423333eb58b3e60bdfe9179d542781955a5e1514cb3/triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7", size = 188397994, upload-time = "2026-01-20T16:01:14.236Z" }, +] + +[[package]] +name = "typing-extensions" +version = "4.15.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" }, +] + +[[package]] +name = "tzdata" +version = "2025.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/c202b344c5ca7daf398f3b8a477eeb205cf3b6f32e7ec3a6bac0629ca975/tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7", size = 196772, upload-time = "2025-12-13T17:45:35.667Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/c7/b0/003792df09decd6849a5e39c28b513c06e84436a54440380862b5aeff25d/tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1", size = 348521, upload-time = "2025-12-13T17:45:33.889Z" }, +] + +[[package]] +name = "uc-micro-py" +version = "2.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/78/67/9a363818028526e2d4579334460df777115bdec1bb77c08f9db88f6389f2/uc_micro_py-2.0.0.tar.gz", hash = "sha256:c53691e495c8db60e16ffc4861a35469b0ba0821fe409a8a7a0a71864d33a811", size = 6611, upload-time = "2026-03-01T06:31:27.526Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/61/73/d21edf5b204d1467e06500080a50f79d49ef2b997c79123a536d4a17d97c/uc_micro_py-2.0.0-py3-none-any.whl", hash = "sha256:3603a3859af53e5a39bc7677713c78ea6589ff188d70f4fee165db88e22b242c", size = 6383, upload-time = "2026-03-01T06:31:26.257Z" }, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/31/c7/0336f2bd0bcbada6ccef7aaa25e443c118a704f828a0620c6fa0207c1b64/uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7", size = 21678, upload-time = "2023-06-21T01:49:05.374Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363", size = 11140, upload-time = "2023-06-21T01:49:03.467Z" }, +] + +[[package]] +name = "urllib3" +version = "2.6.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" }, +] + +[[package]] +name = "uvicorn" +version = "0.42.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "click", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, + { name = "h11", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/e3/ad/4a96c425be6fb67e0621e62d86c402b4a17ab2be7f7c055d9bd2f638b9e2/uvicorn-0.42.0.tar.gz", hash = "sha256:9b1f190ce15a2dd22e7758651d9b6d12df09a13d51ba5bf4fc33c383a48e1775", size = 85393, upload-time = "2026-03-16T06:19:50.077Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0a/89/f8827ccff89c1586027a105e5630ff6139a64da2515e24dafe860bd9ae4d/uvicorn-0.42.0-py3-none-any.whl", hash = "sha256:96c30f5c7abe6f74ae8900a70e92b85ad6613b745d4879eb9b16ccad15645359", size = 68830, upload-time = "2026-03-16T06:19:48.325Z" }, +] + +[[package]] +name = "watchdog" +version = "6.0.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/db/7d/7f3d619e951c88ed75c6037b246ddcf2d322812ee8ea189be89511721d54/watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282", size = 131220, upload-time = "2024-11-01T14:07:13.037Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/0c/56/90994d789c61df619bfc5ce2ecdabd5eeff564e1eb47512bd01b5e019569/watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26", size = 96390, upload-time = "2024-11-01T14:06:24.793Z" }, + { url = "https://files.pythonhosted.org/packages/55/46/9a67ee697342ddf3c6daa97e3a587a56d6c4052f881ed926a849fcf7371c/watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112", size = 88389, upload-time = "2024-11-01T14:06:27.112Z" }, + { url = "https://files.pythonhosted.org/packages/44/65/91b0985747c52064d8701e1075eb96f8c40a79df889e59a399453adfb882/watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3", size = 89020, upload-time = "2024-11-01T14:06:29.876Z" }, + { url = "https://files.pythonhosted.org/packages/e0/24/d9be5cd6642a6aa68352ded4b4b10fb0d7889cb7f45814fb92cecd35f101/watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c", size = 96393, upload-time = "2024-11-01T14:06:31.756Z" }, + { url = "https://files.pythonhosted.org/packages/63/7a/6013b0d8dbc56adca7fdd4f0beed381c59f6752341b12fa0886fa7afc78b/watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2", size = 88392, upload-time = "2024-11-01T14:06:32.99Z" }, + { url = "https://files.pythonhosted.org/packages/d1/40/b75381494851556de56281e053700e46bff5b37bf4c7267e858640af5a7f/watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c", size = 89019, upload-time = "2024-11-01T14:06:34.963Z" }, + { url = "https://files.pythonhosted.org/packages/39/ea/3930d07dafc9e286ed356a679aa02d777c06e9bfd1164fa7c19c288a5483/watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948", size = 96471, upload-time = "2024-11-01T14:06:37.745Z" }, + { url = "https://files.pythonhosted.org/packages/12/87/48361531f70b1f87928b045df868a9fd4e253d9ae087fa4cf3f7113be363/watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860", size = 88449, upload-time = "2024-11-01T14:06:39.748Z" }, + { url = "https://files.pythonhosted.org/packages/5b/7e/8f322f5e600812e6f9a31b75d242631068ca8f4ef0582dd3ae6e72daecc8/watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0", size = 89054, upload-time = "2024-11-01T14:06:41.009Z" }, + { url = "https://files.pythonhosted.org/packages/68/98/b0345cabdce2041a01293ba483333582891a3bd5769b08eceb0d406056ef/watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c", size = 96480, upload-time = "2024-11-01T14:06:42.952Z" }, + { url = "https://files.pythonhosted.org/packages/85/83/cdf13902c626b28eedef7ec4f10745c52aad8a8fe7eb04ed7b1f111ca20e/watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134", size = 88451, upload-time = "2024-11-01T14:06:45.084Z" }, + { url = "https://files.pythonhosted.org/packages/fe/c4/225c87bae08c8b9ec99030cd48ae9c4eca050a59bf5c2255853e18c87b50/watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b", size = 89057, upload-time = "2024-11-01T14:06:47.324Z" }, + { url = "https://files.pythonhosted.org/packages/30/ad/d17b5d42e28a8b91f8ed01cb949da092827afb9995d4559fd448d0472763/watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881", size = 87902, upload-time = "2024-11-01T14:06:53.119Z" }, + { url = "https://files.pythonhosted.org/packages/5c/ca/c3649991d140ff6ab67bfc85ab42b165ead119c9e12211e08089d763ece5/watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11", size = 88380, upload-time = "2024-11-01T14:06:55.19Z" }, + { url = "https://files.pythonhosted.org/packages/a9/c7/ca4bf3e518cb57a686b2feb4f55a1892fd9a3dd13f470fca14e00f80ea36/watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13", size = 79079, upload-time = "2024-11-01T14:06:59.472Z" }, + { url = "https://files.pythonhosted.org/packages/5c/51/d46dc9332f9a647593c947b4b88e2381c8dfc0942d15b8edc0310fa4abb1/watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379", size = 79078, upload-time = "2024-11-01T14:07:01.431Z" }, + { url = "https://files.pythonhosted.org/packages/d4/57/04edbf5e169cd318d5f07b4766fee38e825d64b6913ca157ca32d1a42267/watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e", size = 79076, upload-time = "2024-11-01T14:07:02.568Z" }, + { url = "https://files.pythonhosted.org/packages/ab/cc/da8422b300e13cb187d2203f20b9253e91058aaf7db65b74142013478e66/watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f", size = 79077, upload-time = "2024-11-01T14:07:03.893Z" }, + { url = "https://files.pythonhosted.org/packages/2c/3b/b8964e04ae1a025c44ba8e4291f86e97fac443bca31de8bd98d3263d2fcf/watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26", size = 79078, upload-time = "2024-11-01T14:07:05.189Z" }, + { url = "https://files.pythonhosted.org/packages/62/ae/a696eb424bedff7407801c257d4b1afda455fe40821a2be430e173660e81/watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c", size = 79077, upload-time = "2024-11-01T14:07:06.376Z" }, + { url = "https://files.pythonhosted.org/packages/b5/e8/dbf020b4d98251a9860752a094d09a65e1b436ad181faf929983f697048f/watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2", size = 79078, upload-time = "2024-11-01T14:07:07.547Z" }, + { url = "https://files.pythonhosted.org/packages/07/f6/d0e5b343768e8bcb4cda79f0f2f55051bf26177ecd5651f84c07567461cf/watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a", size = 79065, upload-time = "2024-11-01T14:07:09.525Z" }, + { url = "https://files.pythonhosted.org/packages/db/d9/c495884c6e548fce18a8f40568ff120bc3a4b7b99813081c8ac0c936fa64/watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680", size = 79070, upload-time = "2024-11-01T14:07:10.686Z" }, + { url = "https://files.pythonhosted.org/packages/33/e8/e40370e6d74ddba47f002a32919d91310d6074130fe4e17dabcafc15cbf1/watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f", size = 79067, upload-time = "2024-11-01T14:07:11.845Z" }, +] + +[[package]] +name = "watchfiles" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "anyio", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/c2/c9/8869df9b2a2d6c59d79220a4db37679e74f807c559ffe5265e08b227a210/watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2", size = 94440, upload-time = "2025-10-14T15:06:21.08Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a7/1a/206e8cf2dd86fddf939165a57b4df61607a1e0add2785f170a3f616b7d9f/watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c", size = 407318, upload-time = "2025-10-14T15:04:18.753Z" }, + { url = "https://files.pythonhosted.org/packages/b3/0f/abaf5262b9c496b5dad4ed3c0e799cbecb1f8ea512ecb6ddd46646a9fca3/watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43", size = 394478, upload-time = "2025-10-14T15:04:20.297Z" }, + { url = "https://files.pythonhosted.org/packages/b1/04/9cc0ba88697b34b755371f5ace8d3a4d9a15719c07bdc7bd13d7d8c6a341/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31", size = 449894, upload-time = "2025-10-14T15:04:21.527Z" }, + { url = "https://files.pythonhosted.org/packages/d2/9c/eda4615863cd8621e89aed4df680d8c3ec3da6a4cf1da113c17decd87c7f/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f0ab1c1af0cb38e3f598244c17919fb1a84d1629cc08355b0074b6d7f53138ac", size = 459065, upload-time = "2025-10-14T15:04:22.795Z" }, + { url = "https://files.pythonhosted.org/packages/84/13/f28b3f340157d03cbc8197629bc109d1098764abe1e60874622a0be5c112/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d", size = 488377, upload-time = "2025-10-14T15:04:24.138Z" }, + { url = "https://files.pythonhosted.org/packages/86/93/cfa597fa9389e122488f7ffdbd6db505b3b915ca7435ecd7542e855898c2/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e84087b432b6ac94778de547e08611266f1f8ffad28c0ee4c82e028b0fc5966d", size = 595837, upload-time = "2025-10-14T15:04:25.057Z" }, + { url = "https://files.pythonhosted.org/packages/57/1e/68c1ed5652b48d89fc24d6af905d88ee4f82fa8bc491e2666004e307ded1/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863", size = 473456, upload-time = "2025-10-14T15:04:26.497Z" }, + { url = "https://files.pythonhosted.org/packages/d5/dc/1a680b7458ffa3b14bb64878112aefc8f2e4f73c5af763cbf0bd43100658/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab", size = 455614, upload-time = "2025-10-14T15:04:27.539Z" }, + { url = "https://files.pythonhosted.org/packages/61/a5/3d782a666512e01eaa6541a72ebac1d3aae191ff4a31274a66b8dd85760c/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bbe1ef33d45bc71cf21364df962af171f96ecaeca06bd9e3d0b583efb12aec82", size = 630690, upload-time = "2025-10-14T15:04:28.495Z" }, + { url = "https://files.pythonhosted.org/packages/9b/73/bb5f38590e34687b2a9c47a244aa4dd50c56a825969c92c9c5fc7387cea1/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4", size = 622459, upload-time = "2025-10-14T15:04:29.491Z" }, + { url = "https://files.pythonhosted.org/packages/f1/ac/c9bb0ec696e07a20bd58af5399aeadaef195fb2c73d26baf55180fe4a942/watchfiles-1.1.1-cp310-cp310-win32.whl", hash = "sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844", size = 272663, upload-time = "2025-10-14T15:04:30.435Z" }, + { url = "https://files.pythonhosted.org/packages/11/a0/a60c5a7c2ec59fa062d9a9c61d02e3b6abd94d32aac2d8344c4bdd033326/watchfiles-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e", size = 287453, upload-time = "2025-10-14T15:04:31.53Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f8/2c5f479fb531ce2f0564eda479faecf253d886b1ab3630a39b7bf7362d46/watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5", size = 406529, upload-time = "2025-10-14T15:04:32.899Z" }, + { url = "https://files.pythonhosted.org/packages/fe/cd/f515660b1f32f65df671ddf6f85bfaca621aee177712874dc30a97397977/watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741", size = 394384, upload-time = "2025-10-14T15:04:33.761Z" }, + { url = "https://files.pythonhosted.org/packages/7b/c3/28b7dc99733eab43fca2d10f55c86e03bd6ab11ca31b802abac26b23d161/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6", size = 448789, upload-time = "2025-10-14T15:04:34.679Z" }, + { url = "https://files.pythonhosted.org/packages/4a/24/33e71113b320030011c8e4316ccca04194bf0cbbaeee207f00cbc7d6b9f5/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f537afb3276d12814082a2e9b242bdcf416c2e8fd9f799a737990a1dbe906e5b", size = 460521, upload-time = "2025-10-14T15:04:35.963Z" }, + { url = "https://files.pythonhosted.org/packages/f4/c3/3c9a55f255aa57b91579ae9e98c88704955fa9dac3e5614fb378291155df/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b2cd9e04277e756a2e2d2543d65d1e2166d6fd4c9b183f8808634fda23f17b14", size = 488722, upload-time = "2025-10-14T15:04:37.091Z" }, + { url = "https://files.pythonhosted.org/packages/49/36/506447b73eb46c120169dc1717fe2eff07c234bb3232a7200b5f5bd816e9/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5f3f58818dc0b07f7d9aa7fe9eb1037aecb9700e63e1f6acfed13e9fef648f5d", size = 596088, upload-time = "2025-10-14T15:04:38.39Z" }, + { url = "https://files.pythonhosted.org/packages/82/ab/5f39e752a9838ec4d52e9b87c1e80f1ee3ccdbe92e183c15b6577ab9de16/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bb9f66367023ae783551042d31b1d7fd422e8289eedd91f26754a66f44d5cff", size = 472923, upload-time = "2025-10-14T15:04:39.666Z" }, + { url = "https://files.pythonhosted.org/packages/af/b9/a419292f05e302dea372fa7e6fda5178a92998411f8581b9830d28fb9edb/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebfd0861a83e6c3d1110b78ad54704486555246e542be3e2bb94195eabb2606", size = 456080, upload-time = "2025-10-14T15:04:40.643Z" }, + { url = "https://files.pythonhosted.org/packages/b0/c3/d5932fd62bde1a30c36e10c409dc5d54506726f08cb3e1d8d0ba5e2bc8db/watchfiles-1.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5fac835b4ab3c6487b5dbad78c4b3724e26bcc468e886f8ba8cc4306f68f6701", size = 629432, upload-time = "2025-10-14T15:04:41.789Z" }, + { url = "https://files.pythonhosted.org/packages/f7/77/16bddd9779fafb795f1a94319dc965209c5641db5bf1edbbccace6d1b3c0/watchfiles-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:399600947b170270e80134ac854e21b3ccdefa11a9529a3decc1327088180f10", size = 623046, upload-time = "2025-10-14T15:04:42.718Z" }, + { url = "https://files.pythonhosted.org/packages/46/ef/f2ecb9a0f342b4bfad13a2787155c6ee7ce792140eac63a34676a2feeef2/watchfiles-1.1.1-cp311-cp311-win32.whl", hash = "sha256:de6da501c883f58ad50db3a32ad397b09ad29865b5f26f64c24d3e3281685849", size = 271473, upload-time = "2025-10-14T15:04:43.624Z" }, + { url = "https://files.pythonhosted.org/packages/94/bc/f42d71125f19731ea435c3948cad148d31a64fccde3867e5ba4edee901f9/watchfiles-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:35c53bd62a0b885bf653ebf6b700d1bf05debb78ad9292cf2a942b23513dc4c4", size = 287598, upload-time = "2025-10-14T15:04:44.516Z" }, + { url = "https://files.pythonhosted.org/packages/57/c9/a30f897351f95bbbfb6abcadafbaca711ce1162f4db95fc908c98a9165f3/watchfiles-1.1.1-cp311-cp311-win_arm64.whl", hash = "sha256:57ca5281a8b5e27593cb7d82c2ac927ad88a96ed406aa446f6344e4328208e9e", size = 277210, upload-time = "2025-10-14T15:04:45.883Z" }, + { url = "https://files.pythonhosted.org/packages/74/d5/f039e7e3c639d9b1d09b07ea412a6806d38123f0508e5f9b48a87b0a76cc/watchfiles-1.1.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:8c89f9f2f740a6b7dcc753140dd5e1ab9215966f7a3530d0c0705c83b401bd7d", size = 404745, upload-time = "2025-10-14T15:04:46.731Z" }, + { url = "https://files.pythonhosted.org/packages/a5/96/a881a13aa1349827490dab2d363c8039527060cfcc2c92cc6d13d1b1049e/watchfiles-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:bd404be08018c37350f0d6e34676bd1e2889990117a2b90070b3007f172d0610", size = 391769, upload-time = "2025-10-14T15:04:48.003Z" }, + { url = "https://files.pythonhosted.org/packages/4b/5b/d3b460364aeb8da471c1989238ea0e56bec24b6042a68046adf3d9ddb01c/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8526e8f916bb5b9a0a777c8317c23ce65de259422bba5b31325a6fa6029d33af", size = 449374, upload-time = "2025-10-14T15:04:49.179Z" }, + { url = "https://files.pythonhosted.org/packages/b9/44/5769cb62d4ed055cb17417c0a109a92f007114a4e07f30812a73a4efdb11/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2edc3553362b1c38d9f06242416a5d8e9fe235c204a4072e988ce2e5bb1f69f6", size = 459485, upload-time = "2025-10-14T15:04:50.155Z" }, + { url = "https://files.pythonhosted.org/packages/19/0c/286b6301ded2eccd4ffd0041a1b726afda999926cf720aab63adb68a1e36/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30f7da3fb3f2844259cba4720c3fc7138eb0f7b659c38f3bfa65084c7fc7abce", size = 488813, upload-time = "2025-10-14T15:04:51.059Z" }, + { url = "https://files.pythonhosted.org/packages/c7/2b/8530ed41112dd4a22f4dcfdb5ccf6a1baad1ff6eed8dc5a5f09e7e8c41c7/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8979280bdafff686ba5e4d8f97840f929a87ed9cdf133cbbd42f7766774d2aa", size = 594816, upload-time = "2025-10-14T15:04:52.031Z" }, + { url = "https://files.pythonhosted.org/packages/ce/d2/f5f9fb49489f184f18470d4f99f4e862a4b3e9ac2865688eb2099e3d837a/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dcc5c24523771db3a294c77d94771abcfcb82a0e0ee8efd910c37c59ec1b31bb", size = 475186, upload-time = "2025-10-14T15:04:53.064Z" }, + { url = "https://files.pythonhosted.org/packages/cf/68/5707da262a119fb06fbe214d82dd1fe4a6f4af32d2d14de368d0349eb52a/watchfiles-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db5d7ae38ff20153d542460752ff397fcf5c96090c1230803713cf3147a6803", size = 456812, upload-time = "2025-10-14T15:04:55.174Z" }, + { url = "https://files.pythonhosted.org/packages/66/ab/3cbb8756323e8f9b6f9acb9ef4ec26d42b2109bce830cc1f3468df20511d/watchfiles-1.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:28475ddbde92df1874b6c5c8aaeb24ad5be47a11f87cde5a28ef3835932e3e94", size = 630196, upload-time = "2025-10-14T15:04:56.22Z" }, + { url = "https://files.pythonhosted.org/packages/78/46/7152ec29b8335f80167928944a94955015a345440f524d2dfe63fc2f437b/watchfiles-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:36193ed342f5b9842edd3532729a2ad55c4160ffcfa3700e0d54be496b70dd43", size = 622657, upload-time = "2025-10-14T15:04:57.521Z" }, + { url = "https://files.pythonhosted.org/packages/0a/bf/95895e78dd75efe9a7f31733607f384b42eb5feb54bd2eb6ed57cc2e94f4/watchfiles-1.1.1-cp312-cp312-win32.whl", hash = "sha256:859e43a1951717cc8de7f4c77674a6d389b106361585951d9e69572823f311d9", size = 272042, upload-time = "2025-10-14T15:04:59.046Z" }, + { url = "https://files.pythonhosted.org/packages/87/0a/90eb755f568de2688cb220171c4191df932232c20946966c27a59c400850/watchfiles-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:91d4c9a823a8c987cce8fa2690923b069966dabb196dd8d137ea2cede885fde9", size = 288410, upload-time = "2025-10-14T15:05:00.081Z" }, + { url = "https://files.pythonhosted.org/packages/36/76/f322701530586922fbd6723c4f91ace21364924822a8772c549483abed13/watchfiles-1.1.1-cp312-cp312-win_arm64.whl", hash = "sha256:a625815d4a2bdca61953dbba5a39d60164451ef34c88d751f6c368c3ea73d404", size = 278209, upload-time = "2025-10-14T15:05:01.168Z" }, + { url = "https://files.pythonhosted.org/packages/bb/f4/f750b29225fe77139f7ae5de89d4949f5a99f934c65a1f1c0b248f26f747/watchfiles-1.1.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:130e4876309e8686a5e37dba7d5e9bc77e6ed908266996ca26572437a5271e18", size = 404321, upload-time = "2025-10-14T15:05:02.063Z" }, + { url = "https://files.pythonhosted.org/packages/2b/f9/f07a295cde762644aa4c4bb0f88921d2d141af45e735b965fb2e87858328/watchfiles-1.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5f3bde70f157f84ece3765b42b4a52c6ac1a50334903c6eaf765362f6ccca88a", size = 391783, upload-time = "2025-10-14T15:05:03.052Z" }, + { url = "https://files.pythonhosted.org/packages/bc/11/fc2502457e0bea39a5c958d86d2cb69e407a4d00b85735ca724bfa6e0d1a/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14e0b1fe858430fc0251737ef3824c54027bedb8c37c38114488b8e131cf8219", size = 449279, upload-time = "2025-10-14T15:05:04.004Z" }, + { url = "https://files.pythonhosted.org/packages/e3/1f/d66bc15ea0b728df3ed96a539c777acfcad0eb78555ad9efcaa1274688f0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f27db948078f3823a6bb3b465180db8ebecf26dd5dae6f6180bd87383b6b4428", size = 459405, upload-time = "2025-10-14T15:05:04.942Z" }, + { url = "https://files.pythonhosted.org/packages/be/90/9f4a65c0aec3ccf032703e6db02d89a157462fbb2cf20dd415128251cac0/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:059098c3a429f62fc98e8ec62b982230ef2c8df68c79e826e37b895bc359a9c0", size = 488976, upload-time = "2025-10-14T15:05:05.905Z" }, + { url = "https://files.pythonhosted.org/packages/37/57/ee347af605d867f712be7029bb94c8c071732a4b44792e3176fa3c612d39/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfb5862016acc9b869bb57284e6cb35fdf8e22fe59f7548858e2f971d045f150", size = 595506, upload-time = "2025-10-14T15:05:06.906Z" }, + { url = "https://files.pythonhosted.org/packages/a8/78/cc5ab0b86c122047f75e8fc471c67a04dee395daf847d3e59381996c8707/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:319b27255aacd9923b8a276bb14d21a5f7ff82564c744235fc5eae58d95422ae", size = 474936, upload-time = "2025-10-14T15:05:07.906Z" }, + { url = "https://files.pythonhosted.org/packages/62/da/def65b170a3815af7bd40a3e7010bf6ab53089ef1b75d05dd5385b87cf08/watchfiles-1.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c755367e51db90e75b19454b680903631d41f9e3607fbd941d296a020c2d752d", size = 456147, upload-time = "2025-10-14T15:05:09.138Z" }, + { url = "https://files.pythonhosted.org/packages/57/99/da6573ba71166e82d288d4df0839128004c67d2778d3b566c138695f5c0b/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:c22c776292a23bfc7237a98f791b9ad3144b02116ff10d820829ce62dff46d0b", size = 630007, upload-time = "2025-10-14T15:05:10.117Z" }, + { url = "https://files.pythonhosted.org/packages/a8/51/7439c4dd39511368849eb1e53279cd3454b4a4dbace80bab88feeb83c6b5/watchfiles-1.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3a476189be23c3686bc2f4321dd501cb329c0a0469e77b7b534ee10129ae6374", size = 622280, upload-time = "2025-10-14T15:05:11.146Z" }, + { url = "https://files.pythonhosted.org/packages/95/9c/8ed97d4bba5db6fdcdb2b298d3898f2dd5c20f6b73aee04eabe56c59677e/watchfiles-1.1.1-cp313-cp313-win32.whl", hash = "sha256:bf0a91bfb5574a2f7fc223cf95eeea79abfefa404bf1ea5e339c0c1560ae99a0", size = 272056, upload-time = "2025-10-14T15:05:12.156Z" }, + { url = "https://files.pythonhosted.org/packages/1f/f3/c14e28429f744a260d8ceae18bf58c1d5fa56b50d006a7a9f80e1882cb0d/watchfiles-1.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:52e06553899e11e8074503c8e716d574adeeb7e68913115c4b3653c53f9bae42", size = 288162, upload-time = "2025-10-14T15:05:13.208Z" }, + { url = "https://files.pythonhosted.org/packages/dc/61/fe0e56c40d5cd29523e398d31153218718c5786b5e636d9ae8ae79453d27/watchfiles-1.1.1-cp313-cp313-win_arm64.whl", hash = "sha256:ac3cc5759570cd02662b15fbcd9d917f7ecd47efe0d6b40474eafd246f91ea18", size = 277909, upload-time = "2025-10-14T15:05:14.49Z" }, + { url = "https://files.pythonhosted.org/packages/79/42/e0a7d749626f1e28c7108a99fb9bf524b501bbbeb9b261ceecde644d5a07/watchfiles-1.1.1-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:563b116874a9a7ce6f96f87cd0b94f7faf92d08d0021e837796f0a14318ef8da", size = 403389, upload-time = "2025-10-14T15:05:15.777Z" }, + { url = "https://files.pythonhosted.org/packages/15/49/08732f90ce0fbbc13913f9f215c689cfc9ced345fb1bcd8829a50007cc8d/watchfiles-1.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3ad9fe1dae4ab4212d8c91e80b832425e24f421703b5a42ef2e4a1e215aff051", size = 389964, upload-time = "2025-10-14T15:05:16.85Z" }, + { url = "https://files.pythonhosted.org/packages/27/0d/7c315d4bd5f2538910491a0393c56bf70d333d51bc5b34bee8e68e8cea19/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce70f96a46b894b36eba678f153f052967a0d06d5b5a19b336ab0dbbd029f73e", size = 448114, upload-time = "2025-10-14T15:05:17.876Z" }, + { url = "https://files.pythonhosted.org/packages/c3/24/9e096de47a4d11bc4df41e9d1e61776393eac4cb6eb11b3e23315b78b2cc/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cb467c999c2eff23a6417e58d75e5828716f42ed8289fe6b77a7e5a91036ca70", size = 460264, upload-time = "2025-10-14T15:05:18.962Z" }, + { url = "https://files.pythonhosted.org/packages/cc/0f/e8dea6375f1d3ba5fcb0b3583e2b493e77379834c74fd5a22d66d85d6540/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:836398932192dae4146c8f6f737d74baeac8b70ce14831a239bdb1ca882fc261", size = 487877, upload-time = "2025-10-14T15:05:20.094Z" }, + { url = "https://files.pythonhosted.org/packages/ac/5b/df24cfc6424a12deb41503b64d42fbea6b8cb357ec62ca84a5a3476f654a/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:743185e7372b7bc7c389e1badcc606931a827112fbbd37f14c537320fca08620", size = 595176, upload-time = "2025-10-14T15:05:21.134Z" }, + { url = "https://files.pythonhosted.org/packages/8f/b5/853b6757f7347de4e9b37e8cc3289283fb983cba1ab4d2d7144694871d9c/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afaeff7696e0ad9f02cbb8f56365ff4686ab205fcf9c4c5b6fdfaaa16549dd04", size = 473577, upload-time = "2025-10-14T15:05:22.306Z" }, + { url = "https://files.pythonhosted.org/packages/e1/f7/0a4467be0a56e80447c8529c9fce5b38eab4f513cb3d9bf82e7392a5696b/watchfiles-1.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f7eb7da0eb23aa2ba036d4f616d46906013a68caf61b7fdbe42fc8b25132e77", size = 455425, upload-time = "2025-10-14T15:05:23.348Z" }, + { url = "https://files.pythonhosted.org/packages/8e/e0/82583485ea00137ddf69bc84a2db88bd92ab4a6e3c405e5fb878ead8d0e7/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:831a62658609f0e5c64178211c942ace999517f5770fe9436be4c2faeba0c0ef", size = 628826, upload-time = "2025-10-14T15:05:24.398Z" }, + { url = "https://files.pythonhosted.org/packages/28/9a/a785356fccf9fae84c0cc90570f11702ae9571036fb25932f1242c82191c/watchfiles-1.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:f9a2ae5c91cecc9edd47e041a930490c31c3afb1f5e6d71de3dc671bfaca02bf", size = 622208, upload-time = "2025-10-14T15:05:25.45Z" }, + { url = "https://files.pythonhosted.org/packages/c3/f4/0872229324ef69b2c3edec35e84bd57a1289e7d3fe74588048ed8947a323/watchfiles-1.1.1-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:d1715143123baeeaeadec0528bb7441103979a1d5f6fd0e1f915383fea7ea6d5", size = 404315, upload-time = "2025-10-14T15:05:26.501Z" }, + { url = "https://files.pythonhosted.org/packages/7b/22/16d5331eaed1cb107b873f6ae1b69e9ced582fcf0c59a50cd84f403b1c32/watchfiles-1.1.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:39574d6370c4579d7f5d0ad940ce5b20db0e4117444e39b6d8f99db5676c52fd", size = 390869, upload-time = "2025-10-14T15:05:27.649Z" }, + { url = "https://files.pythonhosted.org/packages/b2/7e/5643bfff5acb6539b18483128fdc0ef2cccc94a5b8fbda130c823e8ed636/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7365b92c2e69ee952902e8f70f3ba6360d0d596d9299d55d7d386df84b6941fb", size = 449919, upload-time = "2025-10-14T15:05:28.701Z" }, + { url = "https://files.pythonhosted.org/packages/51/2e/c410993ba5025a9f9357c376f48976ef0e1b1aefb73b97a5ae01a5972755/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bfff9740c69c0e4ed32416f013f3c45e2ae42ccedd1167ef2d805c000b6c71a5", size = 460845, upload-time = "2025-10-14T15:05:30.064Z" }, + { url = "https://files.pythonhosted.org/packages/8e/a4/2df3b404469122e8680f0fcd06079317e48db58a2da2950fb45020947734/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b27cf2eb1dda37b2089e3907d8ea92922b673c0c427886d4edc6b94d8dfe5db3", size = 489027, upload-time = "2025-10-14T15:05:31.064Z" }, + { url = "https://files.pythonhosted.org/packages/ea/84/4587ba5b1f267167ee715b7f66e6382cca6938e0a4b870adad93e44747e6/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526e86aced14a65a5b0ec50827c745597c782ff46b571dbfe46192ab9e0b3c33", size = 595615, upload-time = "2025-10-14T15:05:32.074Z" }, + { url = "https://files.pythonhosted.org/packages/6a/0f/c6988c91d06e93cd0bb3d4a808bcf32375ca1904609835c3031799e3ecae/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04e78dd0b6352db95507fd8cb46f39d185cf8c74e4cf1e4fbad1d3df96faf510", size = 474836, upload-time = "2025-10-14T15:05:33.209Z" }, + { url = "https://files.pythonhosted.org/packages/b4/36/ded8aebea91919485b7bbabbd14f5f359326cb5ec218cd67074d1e426d74/watchfiles-1.1.1-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c85794a4cfa094714fb9c08d4a218375b2b95b8ed1666e8677c349906246c05", size = 455099, upload-time = "2025-10-14T15:05:34.189Z" }, + { url = "https://files.pythonhosted.org/packages/98/e0/8c9bdba88af756a2fce230dd365fab2baf927ba42cd47521ee7498fd5211/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:74d5012b7630714b66be7b7b7a78855ef7ad58e8650c73afc4c076a1f480a8d6", size = 630626, upload-time = "2025-10-14T15:05:35.216Z" }, + { url = "https://files.pythonhosted.org/packages/2a/84/a95db05354bf2d19e438520d92a8ca475e578c647f78f53197f5a2f17aaf/watchfiles-1.1.1-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:8fbe85cb3201c7d380d3d0b90e63d520f15d6afe217165d7f98c9c649654db81", size = 622519, upload-time = "2025-10-14T15:05:36.259Z" }, + { url = "https://files.pythonhosted.org/packages/1d/ce/d8acdc8de545de995c339be67711e474c77d643555a9bb74a9334252bd55/watchfiles-1.1.1-cp314-cp314-win32.whl", hash = "sha256:3fa0b59c92278b5a7800d3ee7733da9d096d4aabcfabb9a928918bd276ef9b9b", size = 272078, upload-time = "2025-10-14T15:05:37.63Z" }, + { url = "https://files.pythonhosted.org/packages/c4/c9/a74487f72d0451524be827e8edec251da0cc1fcf111646a511ae752e1a3d/watchfiles-1.1.1-cp314-cp314-win_amd64.whl", hash = "sha256:c2047d0b6cea13b3316bdbafbfa0c4228ae593d995030fda39089d36e64fc03a", size = 287664, upload-time = "2025-10-14T15:05:38.95Z" }, + { url = "https://files.pythonhosted.org/packages/df/b8/8ac000702cdd496cdce998c6f4ee0ca1f15977bba51bdf07d872ebdfc34c/watchfiles-1.1.1-cp314-cp314-win_arm64.whl", hash = "sha256:842178b126593addc05acf6fce960d28bc5fae7afbaa2c6c1b3a7b9460e5be02", size = 277154, upload-time = "2025-10-14T15:05:39.954Z" }, + { url = "https://files.pythonhosted.org/packages/47/a8/e3af2184707c29f0f14b1963c0aace6529f9d1b8582d5b99f31bbf42f59e/watchfiles-1.1.1-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:88863fbbc1a7312972f1c511f202eb30866370ebb8493aef2812b9ff28156a21", size = 403820, upload-time = "2025-10-14T15:05:40.932Z" }, + { url = "https://files.pythonhosted.org/packages/c0/ec/e47e307c2f4bd75f9f9e8afbe3876679b18e1bcec449beca132a1c5ffb2d/watchfiles-1.1.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:55c7475190662e202c08c6c0f4d9e345a29367438cf8e8037f3155e10a88d5a5", size = 390510, upload-time = "2025-10-14T15:05:41.945Z" }, + { url = "https://files.pythonhosted.org/packages/d5/a0/ad235642118090f66e7b2f18fd5c42082418404a79205cdfca50b6309c13/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f53fa183d53a1d7a8852277c92b967ae99c2d4dcee2bfacff8868e6e30b15f7", size = 448408, upload-time = "2025-10-14T15:05:43.385Z" }, + { url = "https://files.pythonhosted.org/packages/df/85/97fa10fd5ff3332ae17e7e40e20784e419e28521549780869f1413742e9d/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6aae418a8b323732fa89721d86f39ec8f092fc2af67f4217a2b07fd3e93c6101", size = 458968, upload-time = "2025-10-14T15:05:44.404Z" }, + { url = "https://files.pythonhosted.org/packages/47/c2/9059c2e8966ea5ce678166617a7f75ecba6164375f3b288e50a40dc6d489/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f096076119da54a6080e8920cbdaac3dbee667eb91dcc5e5b78840b87415bd44", size = 488096, upload-time = "2025-10-14T15:05:45.398Z" }, + { url = "https://files.pythonhosted.org/packages/94/44/d90a9ec8ac309bc26db808a13e7bfc0e4e78b6fc051078a554e132e80160/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:00485f441d183717038ed2e887a7c868154f216877653121068107b227a2f64c", size = 596040, upload-time = "2025-10-14T15:05:46.502Z" }, + { url = "https://files.pythonhosted.org/packages/95/68/4e3479b20ca305cfc561db3ed207a8a1c745ee32bf24f2026a129d0ddb6e/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a55f3e9e493158d7bfdb60a1165035f1cf7d320914e7b7ea83fe22c6023b58fc", size = 473847, upload-time = "2025-10-14T15:05:47.484Z" }, + { url = "https://files.pythonhosted.org/packages/4f/55/2af26693fd15165c4ff7857e38330e1b61ab8c37d15dc79118cdba115b7a/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c", size = 455072, upload-time = "2025-10-14T15:05:48.928Z" }, + { url = "https://files.pythonhosted.org/packages/66/1d/d0d200b10c9311ec25d2273f8aad8c3ef7cc7ea11808022501811208a750/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099", size = 629104, upload-time = "2025-10-14T15:05:49.908Z" }, + { url = "https://files.pythonhosted.org/packages/e3/bd/fa9bb053192491b3867ba07d2343d9f2252e00811567d30ae8d0f78136fe/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01", size = 622112, upload-time = "2025-10-14T15:05:50.941Z" }, + { url = "https://files.pythonhosted.org/packages/ba/4c/a888c91e2e326872fa4705095d64acd8aa2fb9c1f7b9bd0588f33850516c/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3", size = 409611, upload-time = "2025-10-14T15:06:05.809Z" }, + { url = "https://files.pythonhosted.org/packages/1e/c7/5420d1943c8e3ce1a21c0a9330bcf7edafb6aa65d26b21dbb3267c9e8112/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2", size = 396889, upload-time = "2025-10-14T15:06:07.035Z" }, + { url = "https://files.pythonhosted.org/packages/0c/e5/0072cef3804ce8d3aaddbfe7788aadff6b3d3f98a286fdbee9fd74ca59a7/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d", size = 451616, upload-time = "2025-10-14T15:06:08.072Z" }, + { url = "https://files.pythonhosted.org/packages/83/4e/b87b71cbdfad81ad7e83358b3e447fedd281b880a03d64a760fe0a11fc2e/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b", size = 458413, upload-time = "2025-10-14T15:06:09.209Z" }, + { url = "https://files.pythonhosted.org/packages/d3/8e/e500f8b0b77be4ff753ac94dc06b33d8f0d839377fee1b78e8c8d8f031bf/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88", size = 408250, upload-time = "2025-10-14T15:06:10.264Z" }, + { url = "https://files.pythonhosted.org/packages/bd/95/615e72cd27b85b61eec764a5ca51bd94d40b5adea5ff47567d9ebc4d275a/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336", size = 396117, upload-time = "2025-10-14T15:06:11.28Z" }, + { url = "https://files.pythonhosted.org/packages/c9/81/e7fe958ce8a7fb5c73cc9fb07f5aeaf755e6aa72498c57d760af760c91f8/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24", size = 450493, upload-time = "2025-10-14T15:06:12.321Z" }, + { url = "https://files.pythonhosted.org/packages/6e/d4/ed38dd3b1767193de971e694aa544356e63353c33a85d948166b5ff58b9e/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e6f39af2eab0118338902798b5aa6664f46ff66bc0280de76fca67a7f262a49", size = 457546, upload-time = "2025-10-14T15:06:13.372Z" }, +] + +[[package]] +name = "wcmatch" +version = "10.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "bracex" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/79/3e/c0bdc27cf06f4e47680bd5803a07cb3dfd17de84cde92dd217dcb9e05253/wcmatch-10.1.tar.gz", hash = "sha256:f11f94208c8c8484a16f4f48638a85d771d9513f4ab3f37595978801cb9465af", size = 117421, upload-time = "2025-06-22T19:14:02.49Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/eb/d8/0d1d2e9d3fabcf5d6840362adcf05f8cf3cd06a73358140c3a97189238ae/wcmatch-10.1-py3-none-any.whl", hash = "sha256:5848ace7dbb0476e5e55ab63c6bbd529745089343427caa5537f230cc01beb8a", size = 39854, upload-time = "2025-06-22T19:14:00.978Z" }, +] + +[[package]] +name = "wcwidth" +version = "0.6.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/35/a2/8e3becb46433538a38726c948d3399905a4c7cabd0df578ede5dc51f0ec2/wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159", size = 159684, upload-time = "2026-02-06T19:19:40.919Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/68/5a/199c59e0a824a3db2b89c5d2dade7ab5f9624dbf6448dc291b46d5ec94d3/wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad", size = 94189, upload-time = "2026-02-06T19:19:39.646Z" }, +] + +[[package]] +name = "webcolors" +version = "25.10.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/1d/7a/eb316761ec35664ea5174709a68bbd3389de60d4a1ebab8808bfc264ed67/webcolors-25.10.0.tar.gz", hash = "sha256:62abae86504f66d0f6364c2a8520de4a0c47b80c03fc3a5f1815fedbef7c19bf", size = 53491, upload-time = "2025-10-31T07:51:03.977Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/e2/cc/e097523dd85c9cf5d354f78310927f1656c422bd7b2613b2db3e3f9a0f2c/webcolors-25.10.0-py3-none-any.whl", hash = "sha256:032c727334856fc0b968f63daa252a1ac93d33db2f5267756623c210e57a4f1d", size = 14905, upload-time = "2025-10-31T07:51:01.778Z" }, +] + +[[package]] +name = "webencodings" +version = "0.5.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721, upload-time = "2017-04-05T20:21:34.189Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" }, +] + +[[package]] +name = "websocket-client" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/2c/41/aa4bf9664e4cda14c3b39865b12251e8e7d239f4cd0e3cc1b6c2ccde25c1/websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98", size = 70576, upload-time = "2025-10-07T21:16:36.495Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/34/db/b10e48aa8fff7407e67470363eac595018441cf32d5e1001567a7aeba5d2/websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef", size = 82616, upload-time = "2025-10-07T21:16:34.951Z" }, +] + +[[package]] +name = "websockets" +version = "16.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/04/24/4b2031d72e840ce4c1ccb255f693b15c334757fc50023e4db9537080b8c4/websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5", size = 179346, upload-time = "2026-01-10T09:23:47.181Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/20/74/221f58decd852f4b59cc3354cccaf87e8ef695fede361d03dc9a7396573b/websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a", size = 177343, upload-time = "2026-01-10T09:22:21.28Z" }, + { url = "https://files.pythonhosted.org/packages/19/0f/22ef6107ee52ab7f0b710d55d36f5a5d3ef19e8a205541a6d7ffa7994e5a/websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0", size = 175021, upload-time = "2026-01-10T09:22:22.696Z" }, + { url = "https://files.pythonhosted.org/packages/10/40/904a4cb30d9b61c0e278899bf36342e9b0208eb3c470324a9ecbaac2a30f/websockets-16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:583b7c42688636f930688d712885cf1531326ee05effd982028212ccc13e5957", size = 175320, upload-time = "2026-01-10T09:22:23.94Z" }, + { url = "https://files.pythonhosted.org/packages/9d/2f/4b3ca7e106bc608744b1cdae041e005e446124bebb037b18799c2d356864/websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7d837379b647c0c4c2355c2499723f82f1635fd2c26510e1f587d89bc2199e72", size = 183815, upload-time = "2026-01-10T09:22:25.469Z" }, + { url = "https://files.pythonhosted.org/packages/86/26/d40eaa2a46d4302becec8d15b0fc5e45bdde05191e7628405a19cf491ccd/websockets-16.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df57afc692e517a85e65b72e165356ed1df12386ecb879ad5693be08fac65dde", size = 185054, upload-time = "2026-01-10T09:22:27.101Z" }, + { url = "https://files.pythonhosted.org/packages/b0/ba/6500a0efc94f7373ee8fefa8c271acdfd4dca8bd49a90d4be7ccabfc397e/websockets-16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2b9f1e0d69bc60a4a87349d50c09a037a2607918746f07de04df9e43252c77a3", size = 184565, upload-time = "2026-01-10T09:22:28.293Z" }, + { url = "https://files.pythonhosted.org/packages/04/b4/96bf2cee7c8d8102389374a2616200574f5f01128d1082f44102140344cc/websockets-16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:335c23addf3d5e6a8633f9f8eda77efad001671e80b95c491dd0924587ece0b3", size = 183848, upload-time = "2026-01-10T09:22:30.394Z" }, + { url = "https://files.pythonhosted.org/packages/02/8e/81f40fb00fd125357814e8c3025738fc4ffc3da4b6b4a4472a82ba304b41/websockets-16.0-cp310-cp310-win32.whl", hash = "sha256:37b31c1623c6605e4c00d466c9d633f9b812ea430c11c8a278774a1fde1acfa9", size = 178249, upload-time = "2026-01-10T09:22:32.083Z" }, + { url = "https://files.pythonhosted.org/packages/b4/5f/7e40efe8df57db9b91c88a43690ac66f7b7aa73a11aa6a66b927e44f26fa/websockets-16.0-cp310-cp310-win_amd64.whl", hash = "sha256:8e1dab317b6e77424356e11e99a432b7cb2f3ec8c5ab4dabbcee6add48f72b35", size = 178685, upload-time = "2026-01-10T09:22:33.345Z" }, + { url = "https://files.pythonhosted.org/packages/f2/db/de907251b4ff46ae804ad0409809504153b3f30984daf82a1d84a9875830/websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8", size = 177340, upload-time = "2026-01-10T09:22:34.539Z" }, + { url = "https://files.pythonhosted.org/packages/f3/fa/abe89019d8d8815c8781e90d697dec52523fb8ebe308bf11664e8de1877e/websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad", size = 175022, upload-time = "2026-01-10T09:22:36.332Z" }, + { url = "https://files.pythonhosted.org/packages/58/5d/88ea17ed1ded2079358b40d31d48abe90a73c9e5819dbcde1606e991e2ad/websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d", size = 175319, upload-time = "2026-01-10T09:22:37.602Z" }, + { url = "https://files.pythonhosted.org/packages/d2/ae/0ee92b33087a33632f37a635e11e1d99d429d3d323329675a6022312aac2/websockets-16.0-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:08d7af67b64d29823fed316505a89b86705f2b7981c07848fb5e3ea3020c1abe", size = 184631, upload-time = "2026-01-10T09:22:38.789Z" }, + { url = "https://files.pythonhosted.org/packages/c8/c5/27178df583b6c5b31b29f526ba2da5e2f864ecc79c99dae630a85d68c304/websockets-16.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7be95cfb0a4dae143eaed2bcba8ac23f4892d8971311f1b06f3c6b78952ee70b", size = 185870, upload-time = "2026-01-10T09:22:39.893Z" }, + { url = "https://files.pythonhosted.org/packages/87/05/536652aa84ddc1c018dbb7e2c4cbcd0db884580bf8e95aece7593fde526f/websockets-16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d6297ce39ce5c2e6feb13c1a996a2ded3b6832155fcfc920265c76f24c7cceb5", size = 185361, upload-time = "2026-01-10T09:22:41.016Z" }, + { url = "https://files.pythonhosted.org/packages/6d/e2/d5332c90da12b1e01f06fb1b85c50cfc489783076547415bf9f0a659ec19/websockets-16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1c1b30e4f497b0b354057f3467f56244c603a79c0d1dafce1d16c283c25f6e64", size = 184615, upload-time = "2026-01-10T09:22:42.442Z" }, + { url = "https://files.pythonhosted.org/packages/77/fb/d3f9576691cae9253b51555f841bc6600bf0a983a461c79500ace5a5b364/websockets-16.0-cp311-cp311-win32.whl", hash = "sha256:5f451484aeb5cafee1ccf789b1b66f535409d038c56966d6101740c1614b86c6", size = 178246, upload-time = "2026-01-10T09:22:43.654Z" }, + { url = "https://files.pythonhosted.org/packages/54/67/eaff76b3dbaf18dcddabc3b8c1dba50b483761cccff67793897945b37408/websockets-16.0-cp311-cp311-win_amd64.whl", hash = "sha256:8d7f0659570eefb578dacde98e24fb60af35350193e4f56e11190787bee77dac", size = 178684, upload-time = "2026-01-10T09:22:44.941Z" }, + { url = "https://files.pythonhosted.org/packages/84/7b/bac442e6b96c9d25092695578dda82403c77936104b5682307bd4deb1ad4/websockets-16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:71c989cbf3254fbd5e84d3bff31e4da39c43f884e64f2551d14bb3c186230f00", size = 177365, upload-time = "2026-01-10T09:22:46.787Z" }, + { url = "https://files.pythonhosted.org/packages/b0/fe/136ccece61bd690d9c1f715baaeefd953bb2360134de73519d5df19d29ca/websockets-16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8b6e209ffee39ff1b6d0fa7bfef6de950c60dfb91b8fcead17da4ee539121a79", size = 175038, upload-time = "2026-01-10T09:22:47.999Z" }, + { url = "https://files.pythonhosted.org/packages/40/1e/9771421ac2286eaab95b8575b0cb701ae3663abf8b5e1f64f1fd90d0a673/websockets-16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:86890e837d61574c92a97496d590968b23c2ef0aeb8a9bc9421d174cd378ae39", size = 175328, upload-time = "2026-01-10T09:22:49.809Z" }, + { url = "https://files.pythonhosted.org/packages/18/29/71729b4671f21e1eaa5d6573031ab810ad2936c8175f03f97f3ff164c802/websockets-16.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:9b5aca38b67492ef518a8ab76851862488a478602229112c4b0d58d63a7a4d5c", size = 184915, upload-time = "2026-01-10T09:22:51.071Z" }, + { url = "https://files.pythonhosted.org/packages/97/bb/21c36b7dbbafc85d2d480cd65df02a1dc93bf76d97147605a8e27ff9409d/websockets-16.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e0334872c0a37b606418ac52f6ab9cfd17317ac26365f7f65e203e2d0d0d359f", size = 186152, upload-time = "2026-01-10T09:22:52.224Z" }, + { url = "https://files.pythonhosted.org/packages/4a/34/9bf8df0c0cf88fa7bfe36678dc7b02970c9a7d5e065a3099292db87b1be2/websockets-16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a0b31e0b424cc6b5a04b8838bbaec1688834b2383256688cf47eb97412531da1", size = 185583, upload-time = "2026-01-10T09:22:53.443Z" }, + { url = "https://files.pythonhosted.org/packages/47/88/4dd516068e1a3d6ab3c7c183288404cd424a9a02d585efbac226cb61ff2d/websockets-16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:485c49116d0af10ac698623c513c1cc01c9446c058a4e61e3bf6c19dff7335a2", size = 184880, upload-time = "2026-01-10T09:22:55.033Z" }, + { url = "https://files.pythonhosted.org/packages/91/d6/7d4553ad4bf1c0421e1ebd4b18de5d9098383b5caa1d937b63df8d04b565/websockets-16.0-cp312-cp312-win32.whl", hash = "sha256:eaded469f5e5b7294e2bdca0ab06becb6756ea86894a47806456089298813c89", size = 178261, upload-time = "2026-01-10T09:22:56.251Z" }, + { url = "https://files.pythonhosted.org/packages/c3/f0/f3a17365441ed1c27f850a80b2bc680a0fa9505d733fe152fdf5e98c1c0b/websockets-16.0-cp312-cp312-win_amd64.whl", hash = "sha256:5569417dc80977fc8c2d43a86f78e0a5a22fee17565d78621b6bb264a115d4ea", size = 178693, upload-time = "2026-01-10T09:22:57.478Z" }, + { url = "https://files.pythonhosted.org/packages/cc/9c/baa8456050d1c1b08dd0ec7346026668cbc6f145ab4e314d707bb845bf0d/websockets-16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:878b336ac47938b474c8f982ac2f7266a540adc3fa4ad74ae96fea9823a02cc9", size = 177364, upload-time = "2026-01-10T09:22:59.333Z" }, + { url = "https://files.pythonhosted.org/packages/7e/0c/8811fc53e9bcff68fe7de2bcbe75116a8d959ac699a3200f4847a8925210/websockets-16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52a0fec0e6c8d9a784c2c78276a48a2bdf099e4ccc2a4cad53b27718dbfd0230", size = 175039, upload-time = "2026-01-10T09:23:01.171Z" }, + { url = "https://files.pythonhosted.org/packages/aa/82/39a5f910cb99ec0b59e482971238c845af9220d3ab9fa76dd9162cda9d62/websockets-16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:e6578ed5b6981005df1860a56e3617f14a6c307e6a71b4fff8c48fdc50f3ed2c", size = 175323, upload-time = "2026-01-10T09:23:02.341Z" }, + { url = "https://files.pythonhosted.org/packages/bd/28/0a25ee5342eb5d5f297d992a77e56892ecb65e7854c7898fb7d35e9b33bd/websockets-16.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:95724e638f0f9c350bb1c2b0a7ad0e83d9cc0c9259f3ea94e40d7b02a2179ae5", size = 184975, upload-time = "2026-01-10T09:23:03.756Z" }, + { url = "https://files.pythonhosted.org/packages/f9/66/27ea52741752f5107c2e41fda05e8395a682a1e11c4e592a809a90c6a506/websockets-16.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c0204dc62a89dc9d50d682412c10b3542d748260d743500a85c13cd1ee4bde82", size = 186203, upload-time = "2026-01-10T09:23:05.01Z" }, + { url = "https://files.pythonhosted.org/packages/37/e5/8e32857371406a757816a2b471939d51c463509be73fa538216ea52b792a/websockets-16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:52ac480f44d32970d66763115edea932f1c5b1312de36df06d6b219f6741eed8", size = 185653, upload-time = "2026-01-10T09:23:06.301Z" }, + { url = "https://files.pythonhosted.org/packages/9b/67/f926bac29882894669368dc73f4da900fcdf47955d0a0185d60103df5737/websockets-16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6e5a82b677f8f6f59e8dfc34ec06ca6b5b48bc4fcda346acd093694cc2c24d8f", size = 184920, upload-time = "2026-01-10T09:23:07.492Z" }, + { url = "https://files.pythonhosted.org/packages/3c/a1/3d6ccdcd125b0a42a311bcd15a7f705d688f73b2a22d8cf1c0875d35d34a/websockets-16.0-cp313-cp313-win32.whl", hash = "sha256:abf050a199613f64c886ea10f38b47770a65154dc37181bfaff70c160f45315a", size = 178255, upload-time = "2026-01-10T09:23:09.245Z" }, + { url = "https://files.pythonhosted.org/packages/6b/ae/90366304d7c2ce80f9b826096a9e9048b4bb760e44d3b873bb272cba696b/websockets-16.0-cp313-cp313-win_amd64.whl", hash = "sha256:3425ac5cf448801335d6fdc7ae1eb22072055417a96cc6b31b3861f455fbc156", size = 178689, upload-time = "2026-01-10T09:23:10.483Z" }, + { url = "https://files.pythonhosted.org/packages/f3/1d/e88022630271f5bd349ed82417136281931e558d628dd52c4d8621b4a0b2/websockets-16.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:8cc451a50f2aee53042ac52d2d053d08bf89bcb31ae799cb4487587661c038a0", size = 177406, upload-time = "2026-01-10T09:23:12.178Z" }, + { url = "https://files.pythonhosted.org/packages/f2/78/e63be1bf0724eeb4616efb1ae1c9044f7c3953b7957799abb5915bffd38e/websockets-16.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:daa3b6ff70a9241cf6c7fc9e949d41232d9d7d26fd3522b1ad2b4d62487e9904", size = 175085, upload-time = "2026-01-10T09:23:13.511Z" }, + { url = "https://files.pythonhosted.org/packages/bb/f4/d3c9220d818ee955ae390cf319a7c7a467beceb24f05ee7aaaa2414345ba/websockets-16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:fd3cb4adb94a2a6e2b7c0d8d05cb94e6f1c81a0cf9dc2694fb65c7e8d94c42e4", size = 175328, upload-time = "2026-01-10T09:23:14.727Z" }, + { url = "https://files.pythonhosted.org/packages/63/bc/d3e208028de777087e6fb2b122051a6ff7bbcca0d6df9d9c2bf1dd869ae9/websockets-16.0-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:781caf5e8eee67f663126490c2f96f40906594cb86b408a703630f95550a8c3e", size = 185044, upload-time = "2026-01-10T09:23:15.939Z" }, + { url = "https://files.pythonhosted.org/packages/ad/6e/9a0927ac24bd33a0a9af834d89e0abc7cfd8e13bed17a86407a66773cc0e/websockets-16.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:caab51a72c51973ca21fa8a18bd8165e1a0183f1ac7066a182ff27107b71e1a4", size = 186279, upload-time = "2026-01-10T09:23:17.148Z" }, + { url = "https://files.pythonhosted.org/packages/b9/ca/bf1c68440d7a868180e11be653c85959502efd3a709323230314fda6e0b3/websockets-16.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:19c4dc84098e523fd63711e563077d39e90ec6702aff4b5d9e344a60cb3c0cb1", size = 185711, upload-time = "2026-01-10T09:23:18.372Z" }, + { url = "https://files.pythonhosted.org/packages/c4/f8/fdc34643a989561f217bb477cbc47a3a07212cbda91c0e4389c43c296ebf/websockets-16.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:a5e18a238a2b2249c9a9235466b90e96ae4795672598a58772dd806edc7ac6d3", size = 184982, upload-time = "2026-01-10T09:23:19.652Z" }, + { url = "https://files.pythonhosted.org/packages/dd/d1/574fa27e233764dbac9c52730d63fcf2823b16f0856b3329fc6268d6ae4f/websockets-16.0-cp314-cp314-win32.whl", hash = "sha256:a069d734c4a043182729edd3e9f247c3b2a4035415a9172fd0f1b71658a320a8", size = 177915, upload-time = "2026-01-10T09:23:21.458Z" }, + { url = "https://files.pythonhosted.org/packages/8a/f1/ae6b937bf3126b5134ce1f482365fde31a357c784ac51852978768b5eff4/websockets-16.0-cp314-cp314-win_amd64.whl", hash = "sha256:c0ee0e63f23914732c6d7e0cce24915c48f3f1512ec1d079ed01fc629dab269d", size = 178381, upload-time = "2026-01-10T09:23:22.715Z" }, + { url = "https://files.pythonhosted.org/packages/06/9b/f791d1db48403e1f0a27577a6beb37afae94254a8c6f08be4a23e4930bc0/websockets-16.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:a35539cacc3febb22b8f4d4a99cc79b104226a756aa7400adc722e83b0d03244", size = 177737, upload-time = "2026-01-10T09:23:24.523Z" }, + { url = "https://files.pythonhosted.org/packages/bd/40/53ad02341fa33b3ce489023f635367a4ac98b73570102ad2cdd770dacc9a/websockets-16.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:b784ca5de850f4ce93ec85d3269d24d4c82f22b7212023c974c401d4980ebc5e", size = 175268, upload-time = "2026-01-10T09:23:25.781Z" }, + { url = "https://files.pythonhosted.org/packages/74/9b/6158d4e459b984f949dcbbb0c5d270154c7618e11c01029b9bbd1bb4c4f9/websockets-16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:569d01a4e7fba956c5ae4fc988f0d4e187900f5497ce46339c996dbf24f17641", size = 175486, upload-time = "2026-01-10T09:23:27.033Z" }, + { url = "https://files.pythonhosted.org/packages/e5/2d/7583b30208b639c8090206f95073646c2c9ffd66f44df967981a64f849ad/websockets-16.0-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:50f23cdd8343b984957e4077839841146f67a3d31ab0d00e6b824e74c5b2f6e8", size = 185331, upload-time = "2026-01-10T09:23:28.259Z" }, + { url = "https://files.pythonhosted.org/packages/45/b0/cce3784eb519b7b5ad680d14b9673a31ab8dcb7aad8b64d81709d2430aa8/websockets-16.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:152284a83a00c59b759697b7f9e9cddf4e3c7861dd0d964b472b70f78f89e80e", size = 186501, upload-time = "2026-01-10T09:23:29.449Z" }, + { url = "https://files.pythonhosted.org/packages/19/60/b8ebe4c7e89fb5f6cdf080623c9d92789a53636950f7abacfc33fe2b3135/websockets-16.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:bc59589ab64b0022385f429b94697348a6a234e8ce22544e3681b2e9331b5944", size = 186062, upload-time = "2026-01-10T09:23:31.368Z" }, + { url = "https://files.pythonhosted.org/packages/88/a8/a080593f89b0138b6cba1b28f8df5673b5506f72879322288b031337c0b8/websockets-16.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:32da954ffa2814258030e5a57bc73a3635463238e797c7375dc8091327434206", size = 185356, upload-time = "2026-01-10T09:23:32.627Z" }, + { url = "https://files.pythonhosted.org/packages/c2/b6/b9afed2afadddaf5ebb2afa801abf4b0868f42f8539bfe4b071b5266c9fe/websockets-16.0-cp314-cp314t-win32.whl", hash = "sha256:5a4b4cc550cb665dd8a47f868c8d04c8230f857363ad3c9caf7a0c3bf8c61ca6", size = 178085, upload-time = "2026-01-10T09:23:33.816Z" }, + { url = "https://files.pythonhosted.org/packages/9f/3e/28135a24e384493fa804216b79a6a6759a38cc4ff59118787b9fb693df93/websockets-16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b14dc141ed6d2dde437cddb216004bcac6a1df0935d79656387bd41632ba0bbd", size = 178531, upload-time = "2026-01-10T09:23:35.016Z" }, + { url = "https://files.pythonhosted.org/packages/72/07/c98a68571dcf256e74f1f816b8cc5eae6eb2d3d5cfa44d37f801619d9166/websockets-16.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:349f83cd6c9a415428ee1005cadb5c2c56f4389bc06a9af16103c3bc3dcc8b7d", size = 174947, upload-time = "2026-01-10T09:23:36.166Z" }, + { url = "https://files.pythonhosted.org/packages/7e/52/93e166a81e0305b33fe416338be92ae863563fe7bce446b0f687b9df5aea/websockets-16.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:4a1aba3340a8dca8db6eb5a7986157f52eb9e436b74813764241981ca4888f03", size = 175260, upload-time = "2026-01-10T09:23:37.409Z" }, + { url = "https://files.pythonhosted.org/packages/56/0c/2dbf513bafd24889d33de2ff0368190a0e69f37bcfa19009ef819fe4d507/websockets-16.0-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:f4a32d1bd841d4bcbffdcb3d2ce50c09c3909fbead375ab28d0181af89fd04da", size = 176071, upload-time = "2026-01-10T09:23:39.158Z" }, + { url = "https://files.pythonhosted.org/packages/a5/8f/aea9c71cc92bf9b6cc0f7f70df8f0b420636b6c96ef4feee1e16f80f75dd/websockets-16.0-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0298d07ee155e2e9fda5be8a9042200dd2e3bb0b8a38482156576f863a9d457c", size = 176968, upload-time = "2026-01-10T09:23:41.031Z" }, + { url = "https://files.pythonhosted.org/packages/9a/3f/f70e03f40ffc9a30d817eef7da1be72ee4956ba8d7255c399a01b135902a/websockets-16.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:a653aea902e0324b52f1613332ddf50b00c06fdaf7e92624fbf8c77c78fa5767", size = 178735, upload-time = "2026-01-10T09:23:42.259Z" }, + { url = "https://files.pythonhosted.org/packages/6f/28/258ebab549c2bf3e64d2b0217b973467394a9cea8c42f70418ca2c5d0d2e/websockets-16.0-py3-none-any.whl", hash = "sha256:1637db62fad1dc833276dded54215f2c7fa46912301a24bd94d45d46a011ceec", size = 171598, upload-time = "2026-01-10T09:23:45.395Z" }, +] + +[[package]] +name = "widgetsnbextension" +version = "4.0.15" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/bd/f4/c67440c7fb409a71b7404b7aefcd7569a9c0d6bd071299bf4198ae7a5d95/widgetsnbextension-4.0.15.tar.gz", hash = "sha256:de8610639996f1567952d763a5a41af8af37f2575a41f9852a38f947eb82a3b9", size = 1097402, upload-time = "2025-11-01T21:15:55.178Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/3f/0e/fa3b193432cfc60c93b42f3be03365f5f909d2b3ea410295cf36df739e31/widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366", size = 2196503, upload-time = "2025-11-01T21:15:53.565Z" }, +] + +[[package]] +name = "xarray" +version = "2025.6.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", +] +dependencies = [ + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "packaging", marker = "python_full_version < '3.11'" }, + { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/19/ec/e50d833518f10b0c24feb184b209bb6856f25b919ba8c1f89678b930b1cd/xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0", size = 3003185, upload-time = "2025-06-12T03:04:09.099Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/82/8a/6b50c1dd2260d407c1a499d47cf829f59f07007e0dcebafdabb24d1d26a5/xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b", size = 1314739, upload-time = "2025-06-12T03:04:06.708Z" }, +] + +[[package]] +name = "xarray" +version = "2026.2.0" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "packaging", marker = "python_full_version >= '3.11'" }, + { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/0f/03/e3353b72e518574b32993989d8f696277bf878e9d508c7dd22e86c0dab5b/xarray-2026.2.0.tar.gz", hash = "sha256:978b6acb018770554f8fd964af4eb02f9bcc165d4085dbb7326190d92aa74bcf", size = 3111388, upload-time = "2026-02-13T22:20:50.18Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/99/92/545eb2ca17fc0e05456728d7e4378bfee48d66433ae3b7e71948e46826fb/xarray-2026.2.0-py3-none-any.whl", hash = "sha256:e927d7d716ea71dea78a13417970850a640447d8dd2ceeb65c5687f6373837c9", size = 1405358, upload-time = "2026-02-13T22:20:47.847Z" }, +] + +[[package]] +name = "xmltodict" +version = "1.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/19/70/80f3b7c10d2630aa66414bf23d210386700aa390547278c789afa994fd7e/xmltodict-1.0.4.tar.gz", hash = "sha256:6d94c9f834dd9e44514162799d344d815a3a4faec913717a9ecbfa5be1bb8e61", size = 26124, upload-time = "2026-02-22T02:21:22.074Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/38/34/98a2f52245f4d47be93b580dae5f9861ef58977d73a79eb47c58f1ad1f3a/xmltodict-1.0.4-py3-none-any.whl", hash = "sha256:a4a00d300b0e1c59fc2bfccb53d7b2e88c32f200df138a0dd2229f842497026a", size = 13580, upload-time = "2026-02-22T02:21:21.039Z" }, +] + +[[package]] +name = "zipp" +version = "3.23.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, +] From e5e30f75dd4ee96c0fafbd59931387b4db9db9eb Mon Sep 17 00:00:00 2001 From: Ramdam17 Date: Mon, 23 Mar 2026 16:15:03 -0400 Subject: [PATCH 2/4] ci: add Python 3.14 to test matrix (experimental) Add 3.14 as a non-blocking CI target with continue-on-error. Some dependencies (mne, autoreject, statsmodels) don't officially support 3.14 yet, so failures are expected but informative. Co-Authored-By: Claude Opus 4.6 --- .github/workflows/Build.yml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/.github/workflows/Build.yml b/.github/workflows/Build.yml index b129ab9d..6929c50b 100644 --- a/.github/workflows/Build.yml +++ b/.github/workflows/Build.yml @@ -6,8 +6,14 @@ jobs: build: runs-on: ubuntu-latest strategy: + fail-fast: false matrix: - python-version: ["3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + include: + - python-version: "3.14" + experimental: true + + continue-on-error: ${{ matrix.experimental || false }} steps: - uses: actions/checkout@v4 From 959eae0e0fec9267bd93a05fcfba9fdbea43cf5a Mon Sep 17 00:00:00 2001 From: Patrice Fortin Date: Thu, 26 Mar 2026 16:34:42 -0400 Subject: [PATCH 3/4] update fnirs_getting_started.ipynb to avoid download huge dataset --- data/NIRS/sample_1.snirf | Bin 0 -> 714864 bytes data/NIRS/sample_2.snirf | Bin 0 -> 714864 bytes data/NIRS/sample_3.snirf | Bin 0 -> 714040 bytes data/NIRS/sample_4.snirf | Bin 0 -> 714864 bytes tutorial/fnirs_getting_started.ipynb | 915 +++++++++++++++++++--- tutorial/fnirs_recording_inspection.ipynb | 9 +- 6 files changed, 810 insertions(+), 114 deletions(-) create mode 100644 data/NIRS/sample_1.snirf create mode 100644 data/NIRS/sample_2.snirf create mode 100644 data/NIRS/sample_3.snirf create mode 100644 data/NIRS/sample_4.snirf diff --git a/data/NIRS/sample_1.snirf b/data/NIRS/sample_1.snirf new file mode 100644 index 0000000000000000000000000000000000000000..fa187a1f045179b43d5ab8fb85359ef2950153f5 GIT binary patch literal 714864 zcmeFZ2Urwaw=LR$3SvSL%!-&%%#uWFsEC-zh(u|!k{ba5ftGG_&N=6tbIv&@FrtDv zpn^HvIjfrgce8t+d*A!M^WM4lp5EWKyCzj#y;iNY=A2`UxyCvWsj*kpe1GZlJl%Wtl+l?b z-(T{sxlEQ`OpDj zip0Tjv23p;Q#ryvEY5!;SKj;T<^R0D>d4AUeXr>d9huZqCH|`N%PCOUA=m^^b^~wX@=BxnM^Z`WbIn> zD5my{|H@=iG$E68)b6&f)cI`Uab!_XaIWD7lFPS#-=)oa8 zFG`L}?i-^yubk$+#4b)MvXxAOlHcQ$CY`8h(!aj19@*)BlZ2+co{)q_kbr|4mEVHT~bLv|ZEx%}d)g{og`kFPTqHu7lcjq-S8E z#omdgKuc|Q`mR>m>~wESZFXuyYi)LFLmO>&>Qia<$z*^2&Q8>)nr8gfPJOCr_FwJP zr<(5jtDV}b>At_%t>~tj$N5(~-Bj~9|7xe3Y98lb?Q~PkiR z72UM6Hap$aUYnh6+C`h4ZrW9g-J04fXtPs$q0LV1?WWC6?d`73PVMcX%}(ug&}OIh z_S9yl_Bv{_Q+s=9vr~JWwAgK^y}h;Bsl9!)*{QvKwb`k?{j}Msz5TV>slCqH?9^Tt zZFXv}t2R5e*G-$9+Uu^xZcFX;&}OIhdTO&%d%d*Tsl5ZV*{QwW+U(Tcf!gfUULS3C zYHvwg@aKHDrS|%1JD=L?|95-)w$$DLZFXvJpf)?TcaSzawKqtco!TqcW~cTBYqL{( zL$ukcy`kFd)LxE(`1MCWv~Nr84VTP+v9pVe&}OIhMryNDdk1T?Q+tPKvr~JcwArb> z(c0|P-qP_J`Iq+XsJ)!K^Xt!cwWIdNN#?)WslD-9?Cq(&3EJ$`UWGP0wKq|lo!UE8 zo1NO5q|Hw4P1a_o_NHjFQ+tPLvr~Ihwb`k?ny~dR{m_Bho37>j4%FV^+U(Tc3~hF5 zZ>BaowKq$fo!YC^W~cU!&}OIhW^1!kdsW)()Lyj~dq-;TNNsj%?KFCYVUY$c53egZFXw!L~V9z?<6gDj;|(bvr~JgXtPs$r)slPd#7o$ zQ+uatvr~I#XtPs$XKJ%kduM60Q+sD?vr~KLXt8sAHCLOR+B;91o!UEJo1NObK%1S~ zyHJ~*+Pg@bo!Yxto1NObM4O%3yHuN<+Ph4Po#U(J+U(Tc72537-j&+y)ZSIv?9|@X z+U(TcHQMad-nH87)ZUWUKjEbDHKjAA)Rx}=XEKUDJl|NZ`dM-PZI!OE@W`c+zW&X1wZXj!S>PfyVBn zxuE2{(&ODsbKbB~hT^A^^Ok6ikBpJ*n$!NbfBVnFNuA83&M_+0M{`OY|JOQ{#+AXp z@|s~Kz{o%ROdE}TV2gh^L1P}Kd3P!SNdDpUl5y%<_a9Esm^H&#wx<4nd|q?SpPfoR z{KM%^8hfP0Kb%nVcg?#^2>|pDr~l`TtAS?HE&ul#S0(GDtb+9Gx0Kg(+)?R?|I_+6 z@PxGP4Lc>h|I>M6E=qr2bNR39q~4sV z_heh?Yx#F*vz5M{&nx|#`M9LNN`5yVm%f&5rLSe1wrjb6OTLTWx&KR_$2R`I^m*E@ z<>&L~d3;Xk^Z2;*d3;>@9&9Up9`}3czUN~egMZ$aZ9F|n+bWi_mA;P8XItreu&wmD zd|dh-rH}dh*jD;l{vFzErLX7nO8;g)u0;R;*)~2deJ$HcU&}Ua*H$U@eU-JG$2R`| z&-?PRwrhDs{qsCNr}TMzT>3mdE`1NSl|GNZo99vKx%9s}=lJ>ld2Pw(lJ`HqzqGCN zwI%cK&+|%t$DcNylYCs-R&s7hfAM)G=l*HqdHLtHd|dikww1n?ZQ8EodHCn|mCXIp zHnx|xX}gx^>YwNFIi=6z2g*^Y72^V_WHK`FCiumHs|Huk>%`W1hc%-h+=zU(2@A*RoC9wLB01 z{63z4rO#s<|6lq%X-@xV=_4Y|=$7>2+5hM3zjoaJpBJwVGn0DZzx#vxK~HDQfAK`UgOj3l!gvAae8C;m`k7LilF<~-~q~IZ8AwzpRXwL5!78@}% z(kpiGP|3h2{riacUqx6#Qdn$As>T>j`p}`ya{4Ce)!(`2ppdvYMW~}fG_tSdS99s@ zAOHRP{FX9k9UbW#O1`J${r|l_Y>k=pBTCQrG5`46{{Q&H|MUJZ5@SOna`5cqWip8W z{#z%fD|X$#$MqgF@dVA;(r5m6%D+GU7y2aO+%^7D&pw7Qdwv;d21tB;j*5uC)EpN& zNXJ(+$8(~j4j<1v8!|_%elkRlT2pD!63bkypsN|)Eq}vlY04#=Ge$qI&RK^ zBE9wul8(n{j)O)?$5%AR1{Im2NA0uE)_6@uiyMDHhUkj^^0LM>;OS zwKQM*U*_%a^QF1?+jOL1FZ-o=?%|qWT>7|VJ*jFY{A>PntRU<7Tl0MXc^+LMR)}9q zd^C?jI{X*&tU3Ju_)Wq|_5U@yhY{EHAHB>pf6OU`)0f8gzi7@oQzW%k)2*^X&9TvE z$sQ>UFIoH$Y21{YH%D{4Ct9*AHRqj4{Ofsznq#A6$v#JOo>|6U&vVioM`lU(lKF4; z>#x7hNpl?eFQw{#)Eoc)o0abSeVMl+@bkecp|d(0-VFLe16ynk5A9p zZ+bTa)t?)uPOIjQwfz^|d-vEM>QEiyJ;fG~C)j*kZ)=Dgi=&SVb&{p?8e5`Ix81Wl zo{ocwd#3vv-#D}_yqCTwKSwy!X^WR`1qDKk2HNhp=Yu!JZzrdWQ=t5~1|e@>gkk5G z>ar(OZD7$UeTm8VU|hL5;PvM7iFj34Z`D_!L z{N#Z*yDD5vs$DEp-_+|-+Jw$%wAAvM`#pW6P8)hLUzvqV&gFWYy=#eQos!4CG!KVv zn8&8V4T0#<^?B}wZ?^>N_LF}c9T)-g_8T5g40XXdlLrOM>ZQW`=clB+`f0Gb*xC8& zMHfWv4v5_JE&-KS$-j&_W(KRbf<%p2GbpBE7h#yCfB*ryPz;mb8 zzZ(WbBPqGPjp3SX1b-Pbr&{j<;dZqT-7YsZMZ@G(SN1klA-+jxD_y}0?;cHi;ygo+ z%(&}|f3C5EakI~ztCuxJVTaar$1GFh$jsL{2A=lfbBgbp0kdmygY@U5V3JPmtNRU} z2$L=}%4*vv1H-O*PYE}O!pPxQw&&JWV#T`h%ic~(!rD&Mke064KYz7dsDC`HS2b(( z-c5ydEf*K0#;9?2(nQ$5NkX+BaZNgJaKr8U_BWR{O2YlXYc)59=%J$h=lZRq6nHgW zz02Q41!HPP_|2Qb*v4tKMlMvL&43$0wV#Hd=k?sPd1^ldczp_}`s257Y2}`EuP-~m zeo6E>lSRhp-(F#w9H5q--#04+{Oa*7W`_cAn@qfF=N*murbGIFoOECC9yWXYmoL!> zoxSEk?IqrDEId3jTCT!HYG!;J6|PP7|J7sHAWSRUFYnfeEGV50XVhyQ2Cx1`NrQG| zBj5Q&(9e}IuphIq#n2!hv=%!?g{i6eRm$l^BJpq!x4iAy2pxE`&fH#kLfb{%di>5e z!nSwg@_zrw!0)b4j*YN#NB5?+Y%A0Yz`W4>RH-Q(MvS4}-JUokRe@0eoY^SYVk57T^k_1LQRkvax&TD@ubtfN^-zw>DGS;N+N zP@7hSPT}wn;w;?X1j3WwY7L+NGhr z-pu#!Ub$fS_KOn->ndPko@cZ!#{=h9`9BJv`Lc4!-M+Q!$YJk%b*lddNBk~RqvepA z3Fw+Sa80Kb(b(6ni@f}^Y>4aH(R`s}>$(PKvrSQ_+UJ3Gjw%G-U3Q^dmKPeX_v_N^ zgdB&Ehc2eV`0&u_dAnS z(zuwQ7U%i9D#>WzYE@u((+!KyOkeTJD+!;{KA%pXsRtgmIZG8{f3%_Nx{4F~mM~~e zKa+}ERJi(v27JX(R6lRIany4^eDoZBucEaK9z32NIbb(0YcGspd0DkTalRU16Vt{x zHnT?FmpdKKUr}I6tu+&}Hbmpm-p}!86CMgv!&}X})FKAmvT4P??2X+!YFD#PQ{j&9 zpvFUcs&M6l{hrPRgRrpb%7Y^+De?T%v{RAZVK_qlw}<8d&&yBSV{jmq2B@zO+PEF; z)RxwVM8_GQ%Ds)i`V71JAE#tP;d-p!-NO$AU0!xJ8=)}f+x7-~GqB?HyO?i!?)Y%6 zf3VRte@yt|d?9VC1vYl1CsN-K^t2AXdz2(S*R8EEubIZtITC1lX%a{VM-F924$F%HoddKyj}{y$ugzv99Tu zeJ(mm>`1;l@~Pc*p||6uV~fr!(Ma8^POs-dcx$oZ$BH!`NPEZ~UL>5@+B$Z*PG?w6 zkK47koj%@2J{hyKeinv|KHM~Fhb0d0esMXod^jS>olWZ$h?2<`2d>N?=Q*cdI%xS2 z);T{7ctB;joGp~bb6+%S0}4s3co z6we65UiNk=+@(B zzGyaPUlqLkB_#G;-!P$v1HxDKZt>jISn?lwY8dc9y>1169(QvT(t2=-a28&m3vBj2TzaMz z23^$2wjCaaJsx%ge<#I(m%oE?Il}R3RhrkSra%?TZ42Ms_rdIQcdI(96j*zp-lHAo z!|-}k%=q?+HX!fg`8^>R(U)75zp^e7-NJr+uSoMnAU8LqTm)LP4|mq8dal04%<56oG# z<%Hh3BH{OC`Jn@CJLCD$`#$?)^if!6PT-#I_(S& zglSx8{jaLq!jiFD9=-62fNjrSimwlyQT6n`J(cuRac0i`Sw>q@;ah2JdaIEx*#0tc z=gdOSy)2TvDn!mHQRZQ4$+7X{--=9AEL%ifS?W19TZ1BMxmbBoaOozmDty+ zsnuedFW>f9c}~!C#kHf~gwZr#LV8wOwX~568;?x6X-V^?=<(1n%tHF+DIr+K zo=N5hx0T^lc4Yq+ny}-JaKPho!!v6(G{%#O7a9q*)o7+#o`3U&6%21LkMA-?0rmdv z$#>sIVTXN{x0mkR7aS{5;Cne5m-6Sw#L|4(T4$GKAM(d`S2uMZw~zYsibGDJ!ys&` z)~a&E*epbs|GFgNU?>(wdN&Lkoh|jhZ47oV=$qhW;sf1JSJ$?zs=}h_53CQ}iNHLI znlo?A%0^Iwh5J7EzeuxiZDyOA;Qz$@GSBq@m~9S|63*>2g<3 zj*cDZ_0a=2E!d{!hpiK2E=uA%nku>q`s7J6BB0-Wo3cDy;6mw6%T}q_|E7ClJ;O9qc?nd=p3*AlSfm<_ubyu{t0)Pra<^6;Gv5u{=x0}| zpCtJ!r5+-uz8Nkk6wq;>Z(~dIqx~fgEOG>zovUosDk(la5Q4EUH;&jC>xXgEzt;1Yz{dSwzm4$=wWo71r8+WtdvUx_>82vEppmoh_ zZ8mf(FYR-2S`0o@78Tdm2aX1lt(*s_(9q{dnb?Yvm|7*xYW%(!VYGr@WeO9g@`o*3K%@SR)O_h)(>I8B(*j{FPdcZK(^3n2mb996%S()w#G$0^RM8hFAf^8DWF-o?Uv zvzJ|Eshv?toVfa6cYX9k7S8vX?taCxHC}(C0HsklM)0sL4#a4$1C;vZ3SvCCG6Jf> zHM^Q8yNLP7JkM0Td`5wOpEUSySaY=F7Z((oI=TKRqY(Yhl&~$J*HLAHB ziR>`-df}uVWj1yRD7$=`oz9kMgq?OYTl6CveSJpR+&Y;ri0y7;D#j5Vx~s5xE@eg| zy}-@S+a?F6Z|>9W;9*XgTY@Pzg`RfIyQCJ^_n=IgFK<(t8~SCy~6ljThsH|Qv7#62K(4Cr2D|C+l>t6copc&dsplfi7^zW z-*}o0r#ihhoLrqJ*tfbd@99q?%(_g8QM*jI1bl6E*~c9&11U4?8-Um&&qh}@ZwZFi zj>Z~-yD6<#GU~UseLG{4CG0xas@vpS9G=wbSmg334$GQfY4)MO~mLCTDwFN+f4Z`SR7h*t^>TN9Adi}IKB zDzod(7O>hg- ztxeXp)sqW!$QI`Uh*DhJ0-m7Ix_}Hv6 zR@|Oe8TRL^f5x$!fpq3f|S~mASEbD^!lv}Z#+oVGDSDRCDoB@GlE@J$C z>p=p3P&yDc$^(hC;Qp{rhrITv$z#3-f#D|QB}eqRSU<8X#bbMaj4rzSEgJV5mm6`j zl?omE>XHl37sT~fVTyszYEC&AqLSjV6JFThR^{sRd^vheet5TNu^kANy#9WUDLR<; zk9ejx5{eGwp?=$AQ_i5|%ZoE`zC8un^@o9B&Lrz6!md7BY!)2KKs$pCb$zEtVS-Wp zn0uj0Des^-tB|~qZ-gs8>o~;(&x}WPS_ryLREhl*y;P0Dad}zm+b4rzPTw0eUnoDT zIWP&%A18SX4b_8l)~7~2Co05vepw2&hj9zt9AP%~>q?ah`}a&NS9l@>pJ_R65#a|; zM@N*Ap>uxt9-Tx7X7gBXp*Em z&mbZOM{OJRNpIvM<{1r5Rp4g%y@|kE>fI4@v%#=U>&FiTvliyZEfyJJ%)1jCYMi2c zpK(PUcWJ!t@Q2f*wCbC7TVQyz@Pjq`7~+8ciIm5BI;3_2$D`@%eug(=j_cS#^isKAiK&^eQ>yj$2zZI^gN_p7<7m%9>y!|8r z&IHH1&hQZNo_W2~v0z!Fy+3s15`LWP2wE=f59-joTKoQ5|I}zS82QT0=5RI$9U8p$ zK)yhzVR)4y6U;d3_Ti18io z=aYYE&c8E18$0IY4ELWn2p^Kw*RvmFVN8pu4sBkAO1R;MYPvKDo~a&VB2?!|NYFmwcDBvW?$+}&J&bDlj=fzUAJnKk69Uqr>VU1<_ZsJy)@~h zz@4*s%~NanLYzi(74Up8Dc<*W7-+R^F?E3rCM6}*sYLTd%v1L#B7f!l6J~8vkiF)+ zY(=vO6!+}zcPT)?@wqf1%*nsdYHvDG2a(SgQ%D#Gb_;#2mDsg3n2^xx0gyu8q)#(S@r|QbuNBMy}cP39VX7{wH&JKhd!-(5%31YmlH3CWNpRM>@&jk!q^@vXe!}|AYq`{hjhe8)jtUwvg+XQqV zn&!fG59}weJTN+4!vBbWk*|6)$cOTm(=F_#oo|?c_l^VvOo@i$t2IN8-O0vP^SfU& zhZG2Bc2a|Wo8Y?ftYI?3r{vbrelvP`!Gr;t6gfB?=-kpyjN<}p5Kp7u8tK5v2-87;jvWBSdFRy<$r7naH0^3ZV?pSbm)Ri^uZ=r&?E)!903c+RAtb zEDCIK-YCKtavGK?G(W@mhqzcHE@xNs4rdfn{_PQs4ZjoTv}yA|V7KyqPz*#EbEvl% z$28fb!f=OvWAj_6;5fHZ`?J>uLAjU`T*6UBKUgyik9Oqse0VV%a~TKP5`%Yo#Nc`O zASC!>f@P2jehlE$iA14m_2(Y+T=-|Y9n2HV-g&h&K4b(FUf26)VlMSwGvZ&i=slaz zyh;ElXrl>lfencj&jiL9q7DzlPRWv=OSHs$<+c{LtHguY!9DS}DL&$LwR(>5g3{4( zw9b4z7P>CT&KH|2nLPQiS%G*1uOXi*hl60h2323#fKbHAE2jlxV{Gw)q1TD8JQtB# zziSF?mJ&15Jpvr1_TC{NnE_Pd3$J}Yb$iiV9dKCLgZ!Du4|ppf(stjj2`l2e7}hWu z0dc)54#J*B3rr8R_XNZ1qv{k34H#&%>MT8nXXIaqxAi)kg*S{l`?dzHMs+N#!?Cz= zK!>k+f%r|!!sqy0f#KA+ZxO)JljCaB(-!%Xm8qE9>sL@vXc}5E;8o8R4n+4H(NVyh z7obtC z?^+;?VPK$#sW>htgsJdr_q2L-rg}+y#8x>hIPrI~L(rL*11=9XMeNC6+xEX!LrL&O z)hqTWpzvn#t_*QKHZvY3t%GNt2pz^1%(`_r1BHxhO^Sl*{+5`ky_6s{HaYrO5(;`# zAQa__@Xz`3rIf!A>VKzwINhK6A!VEzzJ<#+o3&1se$OK}Fj~BLcoKS#+&a>%mmZ4p z-fjpura;z;F%_eBs!+j^Bc2>#U-*ZMyLM1q#|yyz5UKy)`(c$swSyCaWf+is^3jFa z4mcJ|6XQC?W0a;$*h2T~i*S0`~ShsN11>#|b?WM@6UJy)Vlrc0^;&?9tGUQ>HJ)p#L*KjVPiZc7l%xN%V@T8CT+Q7aRV-Xg%1D>UzY zyI`j!(rw+4tw3UsBO? z1OeT~uBgBZ^lRc@I_^{D5RT3CRl5=CAaJgKPXo<3KjVmg1S`G%MfvpSf#0r}#h|G6 zeuqwkCow+I`A30J%+n^>6keSu0i8kk7{OJuuX;fY4-4gBHsz6<9hf${vD_5>BPdcb z87c8!ExU;Gc`V^KR-AzM8U|vM$Q2d{;<{*(iLwkdo{Iv>2U0KkDM6!Mf90zrRM>ZL zMY}n~SJHZVbwNB9U0iqhCgEBus|2_Xnx)3#G_{z9;=Ewyf|LiOgv`=B8~>? zfu~39FA6cg+;Eq0H5QJ{$`Q)js4a?bs&JiXy@Ag{B>&pqUs^{zWnkF<$r=YVCHj8d zH)F&Xjyzj^n;N(365u`B8X2^Vohl&y`^D?f_{q`ev(x2tNVx|Bhvi-iV{m;4jo1Kh z5x>p6s>0EY`%{M)(eEZ1h}gP_egbVZ)g$H@UeI_PUMk4-T-!cPWPZ6o1%#J`YRA2@z_qJ*DSNWt0Klz_B}kZ}DW z0tf~juWl6~#r^I&U{rsKQ=I5`8#@plDh7nt1#_2an`*sMqCX3Db_U@{5Ct+%J+Pu3 ztyI&C1d;zBTuH<=dgx;(2Z+6h$6A~1*88U=X40^9D-J`!5}IfsfhgZ)zSrXQw*}Uv zq|$uhpRwzRGk%pPKq8j%7SavHolceFh|ezIaNoWl0b=_ndSLd(;-1HbrGwLjM9TNY zb#%L<$k&h3O+a1d+jd5adC>VUgxCD|KB0pCQ(+qGF$hntOm6ui@dbtmtP^^jN`qTQyexn)XzXUY64N!yW;7?VPQJVqF z)x^^geDKvi355D=zO+?W!YMN;9=qe^lsa7nXU30IcZEn6B*m-H!hsNf-w;XXG{6sE zNfuRW$8TXMg)i?69VDEshq0&&n$}$nW^ca>)*$yXd(8#~Mj6n=Gl`aX(m{DbEYa*O z#>F7|eGA#Cmfl!KVfk3{W8!@t6CX)(m&NA?VGH5QwSQ)zD-$^{LSesBRV>`fM(1_& z%wDF(pa#)NjfsD$Rc1itjcrwMjhdITpj;#>5Y23Lmw4plX@6qGG&+ z6Hy)`;wIhi2;%q~t3VAV%*y(rkl@S@vlO7LcXZL6Fex6qXd~tIgM(4uCc*i|0Yc|LOdppn=@H1k%sD~}-!VtjAOg&;MuOyDwnbwj<6h+Vvqd4s zQ$ZQVM7N2U=ebclolMJ16@M=$vi&4JX47w>3c2kg#t!ggo`Ldxj=$G=lYcoG z(@{zD<=(=bcQg`1EH0P*P`^?>Ry}_mo~d2+#|VDtvw2qL2k9prNN*|fDb5k#D7D^t0eVan2Sy< zI2|xeK7LmmSeDs4g!pL@;JYqxd^4rY2x&a$1mP0NAgA{6#Ec<}C!MZXEbugp+-HY( zlSxT-Rv*kO@7|Rqt%Js`ac*hPT^~sgbDjC7>w%aBGXdi#0}@pz%R;d6UJ@R*UXK2Z+ZNfv;l94v z&fcbA6n`-3$Ljr>x4~_;J=Dw-9n63Zp|vM#50iKP!~G`Sr;Xls2b-_!5Tx#|x{r zI~xcmO7nZ!0e2=g zk9nY7lWETj)})Jh@cr^~i67tXD8^sof5c01eES$tHxihsg2;!}dn$-=pT8-DdXsBK z&Z7Ck0M<<}uu2?n<%rxwh`R~tlSKgERKzp)$wo>%<12e*%daH!>-<56))z)NuyN=V%^hbwWy=| z?VgP8q&j|9*&QDlr(KhT;t0Xrp`0GBToI1;te%Jw!vYR3p}bqno6~ZI1z&I0&D%wJ zSW57%@pnT&BEAD~e+lFcj>)Pp=gLUlyE%36jphA_Cv1lA_*R2Q1TA8W{(6n^Sv}9_IM)RGm-P1sc_p z3iFi`uDdHp(m{Uq0H>`3UKa^PCM#-2#Hs}?F@E@d8D&!P7b&I%~Vk@=~3*0912Seek4FJC*)_b z2RabV6Fe(jTK6l-!O{GF(p!ppK3Rg)5BH+MY0|5Pq}%V_kR%#326%jbG!f(R-V_gI zvfuad0;xGd0_Ms=vY%YN`?iuE;kyaiG9k524W`EvWcJwVm3>m)Eo@;SIp+bDkvVaZ39fFcT%By`3^Bc zx*AN^HY}5jx;)`FxryWATo2L(&@}u0L>HsQ6cMYr0_OprNT(8$ z7?O4@Bt*(Tv;4s295uK77TC?4HFc2kct>Nfn{@F|gQ^2;-;y3i%!k$~5O9JfT&rm4 z&t>8KL!sJAiqusx$X5|E(aT%X3sJs5DPURJ`uEvl|CN6-2n=J?rabKv(Q;;nVMrl) zDE zQ*qeAiPgM20_!L0j#glx9}(#teKGS>xj}P?ue|k`zW81kSeDcEunlOMnsg%ln1}}) zNJK>zXj!C4`oyjg*rFhUJXDbM(3Jm+^#^Jl5ZX}5BsvbH$~v)?)(ug|HsG4T=I`m2q0%c1vhDn&fihw5L-bKuh3RjQ*H5)VSbZ&>$I;c(>z z9fDKUsLwk7#>se0dTNjDZs29^dG92QVV%xLT`;WBh}Ov-T(CfXQRLV1a)qxX&nO^V zoa>z0j0wT;J^6b)Ci#JBjKpd(Nw3w(LCPm47-KOzS|2qCo@)KOoi)}Hu@t(O;(OK) zSx2L;D9p(d#PO_%k$84*Z+szL!sGoa`0M#K$tkY_sj<#4C>n$v4O*D%)lf?PQ9TSJ zX7(8Wn($;%XS6Ox!hbA%u$SW{Tk=oUy=P{$iA2Nc6Bdkok_}OAxhPNIvW(?BjU+u= zjZ7Rk-*b4g=I+wGeB+N+LAtx&uCf5F%A~Y11gk>dyrq1faB9~Vtt36u<2ayY+t8$= zabP({l}2}juB1{PK2jm!1l@e`sCjDAr1c7^o{H+l7%m@h#s;2Gh@e~;EY%GW|3ad+ zs;?|lK+TDMM)?bsA9QdXD@bv@Qv}#8T$-VSpT;EAm=gz_n3*H5Zb!wmMd*U$TWYvoWk-TM7fcpfS&z_M5mZdH(wnRgIz%|10 zkmTtLw*_K>D73mQT%7o#eBbjCcwf}VXOxo*7@ki{PlZ1h7FegDEen3@xJvw(kpd4W ztr&aO11yK_ur3`8w=8QT2dN~^jeY8f976NWh_Bqsx}`EP7(#_#>6Q{Nebcr;Se;6Y zrn{-=7gh_jE_0$Yk?=7}8x*VL=*b04wsvCNVLHYX#)PxS5dLazP0E~5d%Vd0Hf!&s z3>+w1t-7E)OyWrg7YO1oyPtun^B8FOM1p_h}rPBZ zvJchyBu%ebW`JWDxLiR|mewKuzM>dxBAG{KppV4IQG3Ps*DF#QpM)E96bbS?;qf{K z7>v-i5-~XqGo|mN{AIYD6SDxQi?b?!TxlWY{Ywo+U2=2NWSp`8psy!bV&9!{Kf`q6 zVaNKPr*UAm^0{%Yu(iX;OHqp`U)gi|+Gt;2RG_@->_G)$2X|`xwp=(KBoMIn!3JEt z=)X4@BZ+R<^)V6VXS$W|fE20TA}9h(NBeK2`9jk=iSm6yQ?q}Qe(YXV=L&)Q;_!@g z`RO!Yo|+#r-X3^E;Bc_P3nfB%VI=*Ss82WXl=7r1#llT;2cBQ-aGG`HzxDBM1_3$t zS*XfH>M2VQEZ=>~w=jI(L4_y11M&Pj3s!Ojs!}PKHIwvX%yU0-2K^e(PJL5FeDK5Z zR0%&JeqXFd_>>^=vXeaUbf{0i=Z>S!xjB=V{ReUlk8dZ%J3FYplFM43s3m>NX?u~U zC_J7450;m;9tJ}3N$8X>*c|$FVOp(BQRnY*JW9;VhXyEN#549vlE|ZPAK{7?EU4QY zkFiwXH-4H*)a?f>QA_&10m*p6EZaf)F@|*;oi>(mU)qi!l0AhW&cWWI1mOpLYpd-cYo^d$*erLoiGbNt< z=-=Go$aR6sSlq5DrEyI4CXY$}*6WoA*3qaBHYyf!Sr=AdC*ch@^iifvV$m1JEF5CM zX{ROMe%OVVVTk%f9@9AxAK0JRkY14B#`=>9uRE*TG@j~Tb_ZwWb{QnqSGNC}3aYLk zh}{*tvIq#K`O=GlTB=hc^08Cy&~&7c+%v6(90OPYbJ-EBGq_}sAn8r-M}r^Ra*DUx z+w`Fnxj?wG-KTi3FUAJ^h#`b?HR5H*j(Atj zH%7#Zc${@V6{u|V#n^b#r!Y@lFIn>6JKV&$HvK} zAQefK`{qg{b78h=n5Zl0mzyo=&Thm=qxh*A|g5n9+alF`6%8y}{D^ z0;lOut{Q>Vm%; z5~mU&qk{P2swrs600PaAkR6k#gi-*Ncck2+cx)8&z!Z-id_qDKAr8~LpVhq5Sc#R) zM;c!fSZ-kaNQsvuA4vEX1SM}MaL+^9Z(wMV!0_u>qeYn-43T*!@X&kJ! zgdr2T1XyQwiyOG`0MXHNmn+l$vQ#+?g^$6u%#eEE7 zh<~wf_v)nUHV=uvbxDUcCn7`S5X&71PZoK+<_Qv?^D`Pu51^r*)bEplqr~Za|FF6uET&rgpf@`wm2zqMMUxTOGn*38fn4Xbdu@6OB7u`VF=bTY7Nf^vR^)NmBq-6`F6Eq><>bFV-E{|@!y!OeJF@L%`YR7$FKJ+ z1J6fSJ+|D%9WyA*tE?9QF-=aU`bsJXZavFTj5CruBujkrI7{TF^ej9~c?8i^=c0d* zK6!_3j{&>y2y5f!UN3M_-~+?fgeNZ~JkgBmh(uhM_LC6#79(58nfSXBj9Da0FeANX z_Zu0qYsJY@yia_kSch;;kiLIW1gPvN_4HaDsUFfPPV_%Bx++Coj8*Mx0-;!MDw&QD z*L9!9as)B)mFI!l_q)CBx3owQbwG;FIIB;H6y-0K$e%7t$pURUKvbnAh|P>DPx`UR z#7@nodStG9qY^z~#4{?mT^j+Ko>LA6yC8|ysi+!hQeE-HG(0k*jEwX!?1uW1eyqkP z3g}K!eI*lJJxR~c`&g`#gV34eRX-dh+`^UW_q_=aagM=x+CRg*HpTZ;9#q%hsUYHa zZ%xH~@>vrVM7{DcFHrSfqXqlrQeIfg4oqXd-DE1(={_to5{X<$qTdC*2!_-hm;n(` z>^2MpBU0v~y4YE(RN&=#zkiM(&i4bF zdgQX9AoU0p+W27s>*ft)()yO?fW8f=;-hSJ5E}U6wOS1>S02*A8lz8inRV!yLgZl+ zdq$&mS61{ql=S?*G1ys~8uq|jrFz%#J|gZkjr5wlJ%V~_B#bF=I7B*UR`YjmmnT%>y6)yxA;u}q zGNti3%w6KooC2hEpZI;Qt6%%j5QMUha|%udhvi-0T7up7i_LLhxtD)^(nEX6k@gkN4LIPi8p$pp#O>J&osI7dV_9Z#e=?qpxc%hilTAi}Ck8 zr26XyMZ!rlLfoicOyNZ{eT%+0Z*I2D636}I`NY3cHRTqn7rV8QDpD^8AeYy@Q8|J> z3kwzyzRkqrS!WQu`uiNs7gCR6ebY2>ne^?~E*MQ^)^%V+mwTW$2@U&OrK3t# z|66ND$i;g6PE`LwD!qwUt0#!-x&z_=9%QKGtU?*lQ5Oh@DNWnhxQ57EwWhi!vF^OW z0IWIH*Lv(1xzrzm9Vkc^;$E6!z~c2AYxWokQm5RkJFE+msVu;r>cT8|1C>$3#QOKR z;rW7V{MKcozGg^y;pZr^{^Jbk5XJp)>LyG3ew=az=bx`W$73259977cc$8iJ)#$?o zmi=hI6QZ;ANSB+)0(S$#m&HI;52WrZK6zTw)mjnX!cnTh(;Pv>{T>ls-iw%>+M!~7 zz4sA6(5RwPB^fF)fb*LC3)ASIjX_me^`7-oOZnb2D@-D|#s0biy;;{tc~|ofjR^|4 zFL1ePaUIInsouxM*IV+dl=u9q+;hYs7ZrLgBH?W1AiQ=XfUvew^0VY$c;A6os-F<+ zS>j`H_y7q3;Um>+Q2fbdq<$`uVm)t{)wJKm2}Tt21UD`WdTa!)QrCHxfej>ApV-b_ z!e4UzL89p+UF|Hu-e_tiX zClj8WPTQe)S)@TM?-J6aeDJZ0RIieoAnr5KamE)_^FmXiv3C*w5;~2T z-*>iPb|YetDY(qtwonZb)}3!J>J@K%91eD?4eL<8U!w;}pq~gV6Ii$<10sDvdP@

@Ko8A{Fh3BifYVqKTDOacZf(0YMA|P)@Dud|Dd&C* z;=DdU^!gO{r>bPv>_7Bm)0b& zX*!(h_emu)*+Y%0`AgJ3gQ+f=XlYfYAY^^Fi@!wtOFtIG(|ie_viofmXNh(9G+!Pw z&gbSM>2~QlrmeRGL}J3y1(COpXCvD-?Z<;v4~0Ua)vaF`K`bL|kO_*0*C)EVOSs%G ze~?!UjrX(wKfbEN4bkMnj-TrrC4)8@if(9QDfP2oEIPPSB0zOxVqV;r>Z@30OZyW{ z<_%m_zG8jZ>NcdqV?ecTxKtDMm-aWqb(7rZNg+;@eoh`gQ&_fpu=3jYoh~8_wluKNeB9c*6svcD!9p zLGxt{70!<7j6^QL-mH&e+Aio>To%M_&E^sR!g$U7P)T<(G7z=J0*f3$+%RZKgtX5~ z9~bcUGaG)VVzF+Jy&mN+>0J0>>IxpVqoBZc-caVM2kb7)u926RF7aqya`-XtLGhT# zYdR!=q7CC_y<^079Wz$p*0UikKg})>M4t1yDa2*8uL?JNkOGY2F+!27zwD9YN+t>B zDc=|C0OCy1dgG`QUB0Rzmj6z*7wf-kg$>6BhH2iUfVT@tX`U~LdSjhTaa`N~jsm;) z+&x*~eH$`~-|xl+{_|a7`FikZ;c~pVF3hy2aYr;;b(vb+Pc7dp8J!py`rw9!glBF) zmjq(3yqs)lzYE&`ry21E-Xt&UFkJ`nFqRTYNp zs4SE6jgJl>)n+@h@5bmx=}lYGt8wCJYDdPAgj#XG^%8Q>>(G%l5&Q z-tX!xo}~h(d2OO-zL3ED8|j!?wNi6qo*=rJ_eS6_B6L(3km|N} zSzsUwhb9?H`zW+X2G@hlr1}?eI}h3i>^1Gj_jyMg*qz{0jv(%vGQW5s5%XDSydhbtgNu*AH|E1DK+?1BkAOMzBNKI` zdO6bbv-c||JekV{+*H>E+Fk6%<$5Dff1GZH`A5=0^jBAM>Ea2oOq%K|dHaC6Q#woa z^Ggjh@nn`%$9};QLA)Jl$Ws5PZP1wxv~RFZnvzy+#LXh%H8@^T~$Eb>Bql55$0lH+Gv+Np4a9Y~#+_x6IR zRF_Qk$ecD!|7nk8DzmMF3~`@|?25xsTNIGz3tR>=^j8K%`A~ioWHg~?S5tyv{5N07 zzwr8ez!e_6v4A0s&+g}3hGeM3@jAIFt@rfczQrd?`~GxuM+m`$siaqDoyFDrdeVM- zRT4qvEB%^oS7~sD9APN|u#UvLi~A(xgowJhTfY7f%P+^tFfn-V%A3`DVip%_&99Cs z!4Zb_HfZK2)gwo-{4Y>}k6TDN{5x8zo2v3qh%}_iIB(KhvViWVw^%*a zX{AFvGVN0t|Ma0C4u@J*@!fmCyy~wradlQ=i%n{G={c+kko@Oo3sm9)mK;NjAvj=S z_hhLqWtXK`UpKI7JZM)V^Sfbj7*lcmutp#62m%u;BWS-Ucf)-LDIQx&ss}sLV-pK_ z?I_j1h;grA3*K&Nb(;_*P$5zqlc5mnamuEM`xQ;3_~#4nuh$q7ZgP(Hx8cItvpSN# zwPw6HkM9UdsjkNTy6|{25$6<-iQ6WUeyk>kA@QEzZPm6fE*5Cl%GNb%b(Z$AYHWbp zZa2$Z?VknS)uPHQ%Ex#^7n&~-OBi7f#8(@FtE5!W?M-_XB^(tkyrGr@PYu~9Jc^M1&E;!;KZR@esJVC0<*&c&4 zRL49!QiIFT{+4^VEU|eFvEE7jhWKWp!|l2ckm|$w1%pt!$EWk`K;`#!w|+7eYT#TbV3(ai)^c@B2J7X{u12*kgz7wABK zV>jdBxvuyhM4fkhj(7Y16M_guh{Py0Y6sO4lHfX##Eytagd~#4AbUq-=e~m)wX62t zEo!f7QR*?OVkGuR%o?S(;&+_qncwT%f1cO#JZ&ZSeO;f=IgaCfw7_xLr+1?4n}!ve zi1`JrW}9`MwKYxop();~$8Vgb+{ir@Wv+6{2XoF8RPx8b#pG$pKPARY3a(MbYCWmghL&00q zn?_gpv;NRW0s0(azrX*v|I#X5ZAj#CMbJNB4EXaLN1cN%LEplL`wN&eu%55QCByRl z{qyr$Cu#rx+@IdVrmzzIzRXL{hZEa1pWf|8VJu)fA4*@a@a=puU16;2!!(`e#YO7* zz0)AZV4RAGRNd1AOJbWwjv0b~}!L$tcPAlvy#ZOiC z!l=uOwNox+%jf;8D$>t=sGqC8o>A?|jsdX^!c`x+D~N`RakRvc@seAl&LNr((fvn@ z3}QOrchFn%oXL#$MfkA&Fi+*@0GtiMw(ZE&^S37UjI5`+>OuApOtf@L)IFOwhP6^l^LP~#9l>o^*G7`#!|zjxc}W?4E7Ij|00CZ25?^cgO!$#m zS26dJVT}Po4fxK4f0Kp#g@2s;qv#`WykU zuYM9eUJ9WMc(7MNXPmy{s=-*<)^}qln&;Nz{b&gu(5&yk350wxytzp^5$@Q-LCrDY zTkIW}D=|4-<|b9~KEc)SW89yy6v2f+sK3lDb0?bA=ZF2v-!m88ItFem>jby8xnZ!Y zz3Ylv#CGA+@i{cH34YQqz4cyv8KCvlrnV$@nZY*HiFs1j!8>4H-Wf;jci{_We%Z_? zanu3p_~Eav7>hATv+10qTq5{ixNq$Qz9mH12M^o{Cmtsa!u!JV_}jNaX={(|U(&r~ zdJG+4^s6-WW2Zu23EN5b2}ApS=#!r?2YI2T`fv8c6XR(*Hp(OOKMblYGI;OO>1`fu z1%9N`nPA$s5{1lHKD37glj~m?n;8i3#D#WX9eCNsnt~vdc{Ci{kWF}lJG3WRQzVCp z{&35kAgaRqsH_r0?$rS3b51VqFx7nsiC@D#gRoZk_~EMwREvRNhL@bHTl|t}Km4~& zRee;yayV1=C>J`1sDAvFhx*$vPnJ1->sSf~u<7920>Y;PfL56i>pcJVM(APKFFY$B z{DoN|b>r6$C#YC*>KzOrnbS;w&YJhgN%rE$|7;!3t5E9PJpL zu61z3Qsct-2Q7d0%cdA^Jp7~S9ei1+HIw#@sjGmpSbEBy-#B1BF zzh4u7wQq%3)i;pT5`(;y4zbnx53$J#tH|=17zhj{8 zA(ulB!{-3>Fl=KQ`&pWNzaQ(jC#Ff?gRfG2wB6#%xki@_<_O-y{)M?E`y5Bg9J$gg z@Gl^LiM5MRed(9Z1XXA^_xGV>!s4smhh*vmP(fAfE8$)YZU8=>*G4GF(7*6@WZE|P zlUb0o%aXDfgmNuj{H-PE_kV!=ZfHZLw`5@XJWrh^~I1GUC|30rJi&zwZ%6PFjmxIR>s-q2Zc7)P{n06<#vle|&CMpk13^E=+=8;M;KAb0t^X-i=WzSH zh;3$`RTC*6jp>kGCW4$dH5>I9$K{;B|txyB#Ux>oSSk*f3y=_`Clu{)Q0Eb zzd7l1jedVW+uoYS(&!*o{9ZR$S9Y)$?q}wTRT@DxVGJMo8vHRHWL|>*g+cL)f~gb! zfnWZ}qdyqG*dRjAuX&go%lv*#oa$^&`^))mg}Dao2*F)vjwR-!oCX(;<+IDby=n9a z`L@d3&usO)+L5DNpzpj%vgD~&++J)44hAF|bzI~K*O zE_+$L?i1VKJZ4@4_LKh1&mAz5+TiQH0X^9Q=4})yB{d5c;>aP7xn= zY14FKyVKfC@c4Po)rv^u)VCs)|7cZ#4#RF)sY(J}gKTOK^n#50{-(ougE3O3UitEU zP3jb){N-dHVtd(@`|u;PkbRV^^3*e}hewk>t-iTyP% zydGARJ*EB7WOBs%X!Y+Vs?7$V@Djs;7Y;SeqLbV27N)%O8v$~!wf^0Lc#Su{y1V+U zf3*`H-W%{OrOun=L~l*l82^cRA}=0R#HcTz_BG-Eer*{`4>;%GTR&o*+Vq>)H=>`M z)(d+haH?mF3zj-4X-%H$@6LtGUU4w$v5Nftj)G*nj7FgmNGF# z{&iu2>J5z>2Hd@uyB)4YXI>90Z2{jMa~EE=^`_HX@WGb_5SLNuJ=%(%z_=8zCYF}b7&#HI#BpS(clY9QO?BUEsA*0LrFqlus{egN+ z?!B|2^b}acsk@S?Hue$6E~F8!m&35H6rIE|L-lQi@B{M;nqsN*C9im5jNh6XdGw`# z@6H;$7V?L`Qs#LNg7qA@Ka3dDb|dD6!7`YccU@FZv9XHy($7A~QNPDYM`HQt>kDDz zwjM&5?}F$nF*cPLvKJf{NrH{I>nZw>wIw7*mTB48+G``P+w z!?THH>OJ~IE3fcfF3sa>0DF4rzb1N#|Fvmxg7n$VLQN#T|*zRo|%8fdZGRM+PEGzMKa}qxC6YRBKF<+}wjPOMpth#3Wf%R>#vKXxgv9Dy_ z^R4qH;mWq@jsA%j_1?j%C(h1OpY7Ig<>}Oi&zgDFZgI+AHT%<-2zHpi8u}kLUgCX` z`*Uf5`mevaY4EyXXHhMgvveAOxe4pzdU_M60$nn#!BgV><>o05N6U#>{eh8NOeT$tB$-t%B3(32PeCwio_;Xc+x3%|E4zbPE zIO|AE|2l9nO#ATVL39kMA0LBD4B^!Gk0dt-7&4!M4}f$Df;y7Wd@f! z_o_S4;)dty*r%FQ&wFk-F~;Z2g%IVI5&V@lP*(4>Cn>|=M-&}P_3qSwh3r?eXbEEj z!5inX;Ik#AMt>|w6QiJeVtm_R^e@2ZG^qeC7q}EdE~5`Yn-sR#i+&n+J<;ax1ew#8 zrGVd!NyQmYGaUptl#o@w)CdY_}(r_rQU3K*;G+{^Cf4IJAw6sXCnN_VvsI2 z*w6LwfQjle!1cixl5)x}fcUr$ZEvBR-yhv5kcB6s>?i^l)Ase@PeVN!(a(vx0*5jL z+|Vb`eJvOaK0E94Jg*xpGuZZb46Wo~lyQENchV2@;NQV1;C`-y_2dKMiN^&y zK3p=c@SFs7d?NG4YK_#nL~auCaxupX5V~ zI~%t0g(3b!^e+#Y%NbxT`Um$Rxdiz7(kk~H32*QB$-jkB0^*4J)qxJ2c|Ly>8=w%+ z{c0rUbAzBv>^MaCmh-`Z1<&gE)CtOMi|``0)t80Ck9@&u=;-YSe^NxMzubSU6MDN$efdC6EDudpZ^Bm%9`4ZfTwQJT5 zRh?cscuH(QDYMsHoHDa=u6uPCJ!x*YY(iNzw%NgSo!cKPGdS+%9&#AiWx`Ftzg_Ai3P&Uj{V(H-Cgy{8!2;Nc(8I8=B-mU0;8SX+5wAg7 zpdRCP;ZS36ewfR!1oaNogcCeVjCqW)d}-3>t6dl!=6&O_0QtPaMpzJI#;(10)B5y@ zo%rB)Mwp4mE8hk>5!3OPUP+{@#req|S7MZ}{PCJ`lR=aXV(G*XG`hR|gv;9G752U} zVI;vkTl(eA!E)cN|0RzEf8G=Q0P_V#-;$So)>R7{H3q{v94L?_S44FX~=Bn zyf4r_@QRxTX!msj9Bswl|KfHIHD_?!a&Pr-9K`;GIatTqYJc#=Ms%?Gj%k{Y^U{&V zKj{&WbUL0GD|0e0p5Qt}XH~4+Rru^g$Jz?}7cQLEC20bZ3Xw_W5u`(GailH4HMLanf}T|xFF}h#QcFd@QY%EAJ%*3HADQ*Ph*r{=;KGdu?P%3j{Pp{ zmfTG0SDF^AJfQXE_lr%0@&vm;FU|VX-f=VmaZQJ2`BM)JEWcd?z9sXu{l=2$?4jou zy;s$nhWIDSYRNuzN#7jm#5_?qZxSwb`#`NTGTRc{u4@mmA;x-K`ZJYy9rasdM?&aI zw@8?Dqv};+2oC}Ke1iwafBLIlEfSm^7Fga2C%#@S?{_1P<*R=&ls;p@ z1o$vK=QxM`3zySbnBNL_9P?z1MYqgF|KHPXmFwg{OPSAq$d4zM1@*JYBNtg56dAm3 zaj?$UItcutreA`b(awh$qxN*&3xn^+cnepOG4aJJ)Df!Fzfb3=ZYsu6xhvpN|G^gu zcuKR`@7Cd>A^z<)k;L&H&3AYTZ)|4&49&m$kfFNcZqV~X-X4NFRCqj}`3UD=^%2x# zSj%te4ZS7epNc{He(YM$;ufjZ;{RbDJw>(=3gHD|HazBkr zqe5U1!y9@NprQY~#T;7Z3B?tq?)12lB)Wiy!Qe{@0OYc9;zJGhLwhhcXapj*v-a5zf57atfaa-m8ZnRNd z$Bk5CU1RSMM>^8>`tk0*@x*eNjg|k8pWFfs!<7u=Ixr{r4}Y4%!At2$s>^sDuKe)I z&Lr*N{ZQpcJxHdnpzC~4GhKbY<8YpHAjcDf`0H6SrM%zYVM!d5GkGKKvl9d66ruj+ zyd|$;=L{a#rQ7Bc(t{?hs~4i279SsCdym)Q7n(y^%T;wY-&m6)gZ-Z8s2^muqjKZ# zhEXjBKEwuTU!QToSpK1(ZT(7-B=zgBo}zo|?2U-jRPOC-j_UYHcCISiFB&k-O;nZdgFy#5Zf8(iw2R+^OK zR>hY<7q9QoBvf*Xk~f1l&itIW_B5r++`(_5A2|VBb?RDI`jUkkZ?lNi7X32Pb&pY{ z%#gf^#o5F$Hdk9j(?a0MqoC&(zYO}2393A1qCieLUav+h~5)0B(r z;w>DLNf+_HAW!hyzE;Z7{4a^b1_AxnF4%>)`xhHUE*lpHpDgFYei^155>o&%?PA|> z3#!VCjbh}BN#KH=^2chKb^lq(iQfN(7Z&}#9S1$YFV;Z>7uOBW@o2I+hDNdx%h^x! zZ13w{N;~QYJ?#@2nvy=WAzq|M1?D;QE^LzBHZ~FSHdLwmsPM zpX+zdkle+N`N&Sf#@`(}UalPH`4Ho|qr1K|xR3lP!j+n_;ckhwa_zlyRgb>ak$B7% zUO$}bbG{(_`%{p<`r_-$hUC8d8$paK?q6|;?iq)I3&XsD^a<38b@fqRv;uJ*4rxjB zp7m_t&~p5W-P=qOdrfGF>N=hJ5@>;!KQ2fl&=5!5-VjU7x9IT&_;SA`BhvMb^6kbu zP&*8mA488K`jVc$>~1=6G9Z)~lQI=^3&~fl@1S`}=gp#fcB|1{cyYE)+0+uR!=bK(Bpaij~X>rZ^>&4aQP#;CPK-9!ZB1gZ%{uDwrvo zjhcyJB>8*Q0@dGk0Q@oL{j_qY%QNg|g}lW3f`c?1^JG>98{arlGd3_;fyd2!-JBQ_ zU&gE(22=CvA3?qa*Hbh6=m>D#KEEJ85SWziJ4`f#7ef1kiEW{iPUne^^w(h#@_k3( zefD4=-FI=+hZ~@GdafVr08S_{1};;_ivPCTxdLL0+0VA%X)t`K!tn&)WH4)e#xp$@|5pC8~SASjrYd=!u%RMpW?II;zNwlJ#y}aA$%*m zFOz_)YdN=EKh_-n7Y1T%a@4s%B=*0Eu^sny5LK4oi4uctV%PtQ(D}kIp2A(UXq%xq zvbQoQih~Bhg_L3xEhv57z_UI$YCqxmXAvo9dP&xJdeCL zbyog?eJjlGn8&awOnvFY1L--i>u+9L5Zu<;m3p}=f1qYvy0O-Hf3`c`7mj;q=tSr7 z{}*CTFS`AA(R3ErfTL5c8nRJ@K)Ad|`s_i_hSk zlt6m~dVC(M(@hqVR1Psl@BVqeJ%oYqs)Xfzv_;1?6SG5Xm` ze6IAc(!KiyaE?)!?(L5}Z`h)$PAN8o(|iVf7&k8Nm_On**gq&h@_SkqSSUaJk{dOW zMXeoe<^aii<$mTDUF81jGzB~^j2$iUo{LXo=`}<6z&&GB?=aYpW*)}Est|cK;9KnN zVWQW-F;HPJv0kD%^e}=A2QTXbxIzw2Cb|;>eMGhbT&WuVm>B<^A`rky6iSwRaem2nwnrf_3UGg^8eR5DhK+%a0+Ii z=DtAH7xXPQL|%U=LizmGLkRSW=-_r4lnQXg+OH>2IPYCEgdIw|XwlT5fSu6F6-)a0~C38j_E`%|UX4w_|THf_Zia zhO6(|CzRk;7&7~ni{1kp?B#s(eT#h}%a4%9C)oGSIrP6Tp;S7YMw}{o`I}NhIC0+D z#O2(I;wYL4JZuQ=XUU^_no6QugPvdV2i_-ewf=+a3G82>o2a-$`9`A_rzw}+3*0T9 zLxJmmtvV(JCM)GqJxvn-+FoCi`p&VxssjN2-KQpM#9wS2{K(7?orirm3w>hC{gt)c zNqDs@?1*)4&ulRt!?8H+O&6NO`sv9@+E34qro%X9sm={U@*K@E^q%EV$$k`#HD^8C zFT#0%UP5e+3xg%UJ`DGZ?03Oem3*9j@U3!8c4VCL$FBLy-u9@qnOJ@_y3bh2>uZg3 ztiJ?i-86*j<6$egFm<-&C@-pmH%U8nEKqZuueTMh_vSPk;`Fqm$!X=eobBcFs*|6f zxk}CBh;2RdKfhvdPW33v$9gcZY!c=Uys%lAM8a?SGD7v>UpWhRaAeIf^f?d6TBlGK ztUtdSl&<*~D5ls>O(_W#D0Pq4pN}m2aO{cw`P$omnIN z9+2;Ecw#T}uV+0AiMJgSin|N9q(epySs@0f|BEyl3>D|G7q<cYBguRcM7=Jqt6_$KgQgKBa!qGV=3QWq`3k2B54{29`-`sEAvm_yWt%B8Q@B> zd^fD|IfLcdUHa$i{2~=Oj|`kT_<#B_k!6o|)&8NkwfOzERL<4h)n6QGZ4N*PJK*o; zdH0Jz>L~|Ou^}?3){z7`f%hV_r}CWYX2|E|cOyf&x7fch-N7vmTu<(EU3}Ev{3Mee zoCi3JLWpe+XBzaC`zC!%BH`PAmr*HB^5%YvL0%nf^KWe?XP$#E z_SL-5;!w)p1|=eX52=r*JBZ%&tb3ty%@1}LU0t{H*^ZKp;@UXjOGWqG_CvPn z1R6)vF@6lvao)gh^W`Aq`mn#E{!r!dgd~cN#L6(!quKxlVZVd;(s%ZF|K6~#aGy8v zIHhk$n$FceuSC4&wT(!Y+@PfkOv=NWRcy54pv2C|zq~cO)bp<};<%U}!UL7t^uR)O z+#c@QuYR)AT(f#+!nfR`73O1%gKP)gxA^5YN9%j@?wTQdlH)PzC#vE{>%m!BgZH#A z8k#Ta;$Gz36!b5=Cw%@}9$jWWORETa+;__Hf4spLU>|VjIQ73C^_RV6@?X<!CSr z8}yc(Td<~}y#Kvs9N^pvdt2S_A}>k$bH0lDszvYtEW&sVAUKjALF{}&v}u$|Ft0ERJ@|;k;+GXW~o0f>M`M!{GF@0sMpUK zx1RiX?bR3g#4`RYJfD1zZx8e#KKAZlzb{;{Ca%Hp07J{GwOpMPaMbo)GKxBUNlnA-+(MS{j;Yu~UWO7F?m zdE$3E3t!XVwKg6te)dvd*M|h*sg#~aKL8zh;VCms;sWev@JLvXKiFGyP;RBF&-Ys^ zz3(0+k#IkJFt6o#k;g@YdBa^Fz_-YL!6f*-8F;cHfW+^W1D+Dn(>GOcCm!dGTxKV^ z8XG^DbUuXri}<=RM|s4#KO3XV^NOz;o7hmhFNPk%Hb2+Rk3u2GJCtJrgJkl)A=pPs zuJN2;a#&U&_`rcYI*)iW0?&l=mpq{N=Nypg6j#m*$6N}y?j_JSvs`bbF;;TwCxeS2 zxf!`PjI|hlRA_EXdwG7oA%{5LF|v=h>Z^7JlDz;O+tO8jG0Zmf7UTaK$YV?4{8c<( zg2{x>QLdG^IMr=6y<~gJ5v$j&OW>g z6(7{pFH)!z3X)Ml>6#-2e$rkx=s?e}yiDkoMQBk$a}nt3xn}5!w0z1@jMo)ThnRwmDSB9K+-?-I|Lpy^BDKT-_7TI z3*4{Vu*Vh~h<|sj-zAc;opl@c$y0T=%`-@H*V;{>OT7^&Gr~)`FQz2*!Tb3L7p}T( z7V)@$wO_d(*|o3mMz?;SNW8{sIyqMKM?tm0nG*pk^kbaUdD=mA!+UO*=OxwlRbDFc zJ{kA)3Gcn+XH|5N?|slS@KiYexeD@MFo(LjDO>YYtEa0j)Tz{vT(`n(0!^^wv-MHJ zLrQ`^VjTqjoA0J7N9CxOhHA+&ZwnivoDApYB?iYEcv_k12Jl83=7&k2+V4()^3nEK==0dlov@{a zqQj1S7tSq+`vUqK&h`1&g-&AcG#|Q&B`nY?Rh?)I_WP@t1N={n%)OUK`O!VN$n3tu z`2u`s1pa&n24=1e*8ISW<^Gq!5yFcbm<N&c$yKY%)g_2n(#M`nLzPiGlNxIzyjep``G86c z-oi|Yij+LZB#$AQ6FL|KQe?or5iMl&T)#5aBN>vmcEY@LX-N3oMaolZ-uUANLB~7e(FOB4QTIsDh2+;G39P$ua_-!A06vXEZ_a^>$)@w zSVo^@GqvRbQfnviEe4>@{g!jQV`Ee&J@J~+h!=O=!Gq=VZnvNC8qPpR@CL`a`JhSb z{R_dwa;=q>^VLVcGJ;kzpAb4^@k#tIj;?uNpiU!cw>y$)5|N|ELAKM!N*(jN4RiqZ zykWU%+=u*lOSUZyVjysB%$Yd1c$>G*mj*$f%YF}wc9KgyyK*(Xclu!eA~|jC#Xoj` zH~3?W1F(vxAtD&LY%oWu6#c#UDSiMqkPozL*uU_it`GKpEU@=;CdMz0?>&YnzODDI z@D$y@El#H+z#avkiB#^eE9t#l5=l-x&_F#VJPXu;92dIMK99a{$sJUY!9Miu==UYB zB{_sLITmJ}k8+wHzc3`HsFy3X72t=p`cW|-lR6Q8QOQNx9IpP3{{pEi^dR3iEit%l z$_M}aDu1qvJt-RbZyxpGL*`uI;taa_0s$x^TF{ls{;Ri->ax)9Oa3D2F_~kd z9+UW{)I{abIK+`1jBd*_HJ9i~lRJjA=jM8%o6hZ9uA@KUOPm(+p~4vPam`3~m7IsS z8ytxBZFS+_=QxVQ{O+`agQJtPsR#e~3)7V=G^o^oS~WHC6?`$wt*QoIA9Ve{e3wVC zqbJ!81jhu^-!IU=@HnVAHjzpZv-6Fw>YfX_6cS_XHln^`uCUiG_zJnuN8clymM2!i z+yB=!S@Ju7Kp(++&Q9Qu!Oi9O(a}sPkhz~c8%B)DsSZElM3nvOS6dLrNjLB4u6+dj zFBc#ajlq6XeCQv#P)#g4#z1FOfXAZ3;%F*nAF1CpL;Qr$^GklvXMV~}M?DsVFX~NI z==EU(yfZym^4iD$g?fzh89GNuj^Y-~&sdk{&?}C9{|rW;tNx;s{P%B@%rDz@9V?&T zt(^s$A6D_EAp^sPw%Xs#Dc4aA@}?GS=w5~2=Wl?{;1?4=Vzv#z%;Yx{b9#xr9^|Nd zeQ;SImRl zLE{v<^e2osQR%8fT@9WR%H4NWNO>p=BZ={AZ|_=C6bGGdiznV5$61%_1veKN{J(Gd z8v7S6&jLfpVixwalYNNC=KD-9j2V2B;{fZ-DiUeSQsByh3WsfJn+(-!*-TLW1?I^dL-DX6N#{V`K04oTn5BEkp&_a> zb?K|T+i8h3ngcykV}+N006bXXKCDCz82bo*a}fSbYKckr!u5P*>)I|gloss&er8P@ zSE|YagK7@MeB$#<%`yibTIfnwARpd#F^e_;kFx8lbk##NDmAXeIxLL#&(^*6yeQgJ z8A?Iy_t}oN5;-Nc`5?eNS-5Yui3GRq(7UL|j%QvtVSa&r{nvSqMjR`@hft5POs()u zs_<>D7Fnq;u~M@5EQ%sblmrzum6hgX6!^2+IG0xlXiz*U3i0GljgX*T=Ydt;sq z!(SloHO@6_)!jsQ`5agrOn{c$-gz!hb)thJ<_kra;f7{x=QI$=TA?mYCjNaet1!Cw|@}c$Bk&#PKp|7uyPlX~NGo!o|Oi zexI>B|E+K&i6^}fPuMDZSpN{GeA7oI2Go(^)}G+2vChxmU;UHNCo@i|A^611Q)pYw znRx8;kIfj}^LI$mb0IZd>jmW9%iP<6h}X95)}!BN{&Z8!$2dpnNIXeyUDZ6o6deuN zS;HUvNdx+1zSd_$KficJbf2R?_^8ju{-wcfa*b%*FQAoq^|Kb;*EI0?6aGZO)1*D& z)4#X+MY!fi7(v3l^Ep&v06WsWmMiizSR35UN@=90tuioRg&ibMjIvSc*!dEB`r3-o&moB&*KX) zr{cL~J>(Rz|Dj9y9&7YidWm_(_J;+k)2RzSKV%#`f^Df7^NDugDIM633pN2dI=fY1S;1zRD z0`&ZnOMW&|=Mk+cC~v_cf#4R*U50&|=vyt%8^A@!E%DE%hgj=|PYt1B&I`SOexGwb zqhD$s-5OW%%Z5#|rpA!V=1tF4PP7N~3Ot{#5kZpIx(xdl)+@~|HspPUA4lfV@k2z{ z;tlr0FUZF3y?FFeoK z7E7)W%KPIy^kM8+uRBH>%VIvOM^7-WnF#LJZ`-iZ5A`L%MS?dCwE+w(u7s@`q#F*@ z1K`=O?Fuzdrf+vzgm$?j`WNQ2Tp65BSz=r%HCWa(Z9z71e9VFyQNk_m6rCqNldAR8 zWG|8bFZ`9@Q%1mV0Q&vj*LZ$vKvtL5p^#X<(o`=1n5M?6TQ=v*Je|Rkm|fN z6a5S8>YL3piT{0YWU=uB`^|?S&kuO~YwyFPZn~HosP|JR@UZ#(o$juAC!Oj_onn(^ zCecg#I| zgC$4etLpjGfd?16Bd8<$X3^(h%RE2sRGj2iMhzHAv!K_i0Ir9uCufY6J#qg!&~5Vk zq2ohqj`WN82Ud#gjhwIwi;PG?rku{MEb6safYCZGNlEnA&eY|q#D*hjzUvzTq z^7Z||JZcbMK;b@`hd1MeA-OGWTs3C_g`V)rEOLc|lJLQiw(mp`I`);4>y3Hx)b30` zzFqmOTNe=mY+W8 z6(V|OhfaNUUXzafKIgzzk0Yu#{z-PCi6Cc1z}Fo^d|+Yqgui!g5IC>gKOOW{-D{;W z%Db8ADtx2dnGW;{vAx+3aUKf@vAg81_n3-)AC1Zb%o{UUk2tl|U|Yw5k=fd37e&eE z^wd93{D5mwSBa1L7JSt#P;^Wb4$3IhMfea-r+r?iJc_H(kMTJWMdKpt3oXsmgMm&<;rC{r>ihuWu|tnm(DTnlkb7O! zW1OoRX(#n+gBN(-IXAk7lkyfYrx#vgc651e%5_8Thg&h4msi)10vN-Pj5#B7{wBu|MJ8G!q@V2f+R}aWs^LE7$!cUvnVl-fSC4bs8(&t;zce zG)K?py76W@8;ERaHTn;~B{`}y8S1U`mTiGDKe=?KEirbY@3%JU&p4Gz2T(pw@O31P zb$NhXJeF&G_eUIY%#L%lOVTGa>zzcl99)I@*yqge2PahcO&^dS$i8JOXXQ@54kg4} zPO^1OA;IuMPs=fC9kxYEF3Omiq&%7>k(%@CP(k<8+vCOmIs*HB$qATOWWaR$!_IE` zBzD!v5Y3&LFXxnjnvFVMVKdUt|!+2DBOAC7j(L%#)7-qvqZpdQ0Hp-Zjh8 zd!b*5a=tK6X8whh8#tXm0*w63o_Gz=YMNQ~3UkZ#KL2Hr$g#R0Z<@jEJxYzwkPGp_C7a~;*$_oh z05vuMFGT7d=tq%p+Kk1OI*w*3jJ^K%b2BaqWND->~iy zJS9+mC;0qXKt*`}$2_=U2sa1*$~731_1Kc5_bB?f|KP)#d?HYDARo1*>A)jA#yna4 zRwq;GF!FuIm>lUQ;~(LpN6P)F*_YzVbBRifaLB5?J(8$mFbF7F%0c^toCB5ttg3?h zg#k?HUxe@bUnpHbJm1Z(DbxtJ?814Nzc4?17xM4ec5X+?^;ieJB?GovS0FAc2Aqml zUOoI9!rk&aXK*Y`xCiEA*c*(+e*Z&!3sB8@Mtfc=OCw3 z@>%1te_@?XuPn_Y2niw1rQ18aFA0`@VA<8pL(_>FlEqHBnJ ziTy_lBwsoCYQHuc`ecsj9`361avKNf|IbV{6UWM3U+qfyYCEI-z&X5NAk8Y z*01TEb$zmxU%D+yc*8>mg4YI~)7zV=nuCq~i|`GrCz2!9q=(R_^XrrFMIkXCZ$0jp zxy;K*^d`AJEYp;eea1@lWYv@DHRQt6aDGet6ZERww;y(dUXvH@n2)gz;`f??nlrS< zLURL?+|>tv&Q5fShmi*$IXwNHh_OFgz_07*49DC1Xq{`myl#l@s7)*#<@?FqPjnI% z^TC_u0}}IwW_*2Z2qxiX-_0Yo?XFLapc?Q!`a^#pzVV6J8!|7f{z&;AzjVetnT@cq zW2qX1W@|8q5sY@wO=ICd0K1K|CARfkx|bt+(C%}*HUFn>5OI5Rvu-=(h*zs7zTy8t zUnlWS;HfZHI1Ri$-aCx>ES_R8zMXpHlJPkL{Vs$hk#LmP_$#NND2YIsADQJCK}|Wx z75rqtFkPKKA47a!d-$ek-@F6+7xsH$-y(XSb`ifGPiJ+)G1p27YqY9PXpm^Z?k}tJ})&m+|ej zUdH>}hC#kR1t~vZb+Ph*mPL|qJ8KTndDD;#<+X)QpkbWTm*}PYSKOnbGsXUeWu^D} zW$E`G6G9vlmW}siIS218OC-V8>`;H@NEh(OcyHbXc}a+II(*AP`YO*hX5EWV^i>@K zcskObO~agz_W~mvNbb$O$jf71M78eXbGioq{%PDRlg6hj$G185m5}S(Ps}D6lRw1! z!ko!?_$yg}Y@4R~%)jB^XM8UBoBZ4lg05cf-F}6_PmTSMCjR%7Ro=w1k?CE*SL6Xt zze+OCs?aA{IctmH+d9e%t`dX!aJIwI?{i~XF`PJdxIgwUqG#V{A)JEMbKRAjRI#q+ zrA;yG9BRB1^?%!c=a5B7${+EG(RtaM>xS@;!EclNNboHsXJ)gB{=gn&!6eMdppOYZ z5-fVHkstFYlZB^i!Mi`*c&s~oWik(697oI-NU1%NTwu6q*}_bWX*WE_(jCrSK3Smr z$UQdd+P^Q6zFeH=sWdAM34d%1gTzN>ex}*baIa*7N746XQ9q zEQnOS)ICG}Vo8yj6H%vv_)qfUb{~zk@4X;|sR5ium>avd)$KfL6`gE4SrzIGu!!(EDK^T}7Pn`STYgkHK$v zq&_!3o;nAvo}vDpJsDKk8|1fdyoBf10J;X@i8S@06&%!FElat}9YbhzbtL&fKgM>~ zk)es2H<}QudjRlZB*%JDnZdbs7k_pTuGuH-14J)^dQ7;16GJJK1B||MRUh>uduj+H z&G*m=^1QA=TUYVL*EpD^{>O&t+8+!pRlQXiejesfw<Eb*W4e>H$<0tKU{OKFLxtL*gA8rgi8NZY@ecj5WFuOBbQq0rGDMZYgt)xjak&mQeVxc$>Z zeP0@lIiMOk#fHBjr~6qII>-X&X1VHDYSW(ZExEnKeqZ*_l`tRV{Nmjg4DOZ>j*3+M zc7P|bY<6$03_8jAvwvlXo;1J-ddvE8zePr4zt4qHOCRlnth3Y~^)>Qdc`x@xU;6Vu z1b0N2`-5ttf8o0AP=U+`FQu0$=eU)FyoUvU0twEB%BRQ^=O7i|P=e~o|Jv8C$}>7{ zPi2Tf$sTG}zHU!f%5u!UUtxb1HH7Uf6z_}pUmM&uVsSw`z0A@)wd^Qje%GN^dBhm) zQ|rLzXHLdUaBd(Uu5%?p^0DKtz~9Ln|NqR?Z_4qlQ=lLFox$;4yp?CXJC%eh3jG-C z?<{_S4hr*`xnAfGM88yG@Oggpy@~4KF?%^VOgVL70dx@fY1eS@$I}1xne>&r=7|qN zJqEwk-B-x%0YV5_n9!B(3jI^}W8{GoQFj zG>^gaiRy5{bRXhwtx~Ga>wFG0 zFE%(<)@nTT$-t^V-s-78Psa@67=;JTC(zG42J%7fBkMk(D=kAzdJ`|qlX=Y0G)r@G zJwwz7<~Ci|cKJabDf*vQ?KcCrWY+ z6Ts7zeeQu&-6O2MC)#_CtK3JDnRH6NiL6P_gILM$^LhdIG92^g}X z_17DeY`hCj_QD^Bp27Y_{94fS=fEiS@8@Q%%YO`$`)Bpx0M*qku+V!DdYIo)HD8}) zCtT|vQ3q~(gkZ@bP9$+0vE{nF!_jmX^8FJBZy5bqXHqLxb&VFtdj*%)l#97M^mV!4 zn22#;JI%r3W4V6_T$E~=mv158E*UcZ^O+{qeR;>}?^Eh8bLvp|Uw8@z6EWF?U$O#u zd_12%I}3V#KDfzN_KlO_GZejL2KFy}{$2{Ce$0h(Xs3Cq*uU_4=eu*Mw3WZlpB#zD z5c5*v2^8j#E6~G8uF`+ShU8^nU+Ik)w7*yQ3%|4X|B^^_@eQF5MU3{Srp_dFy44u* zeGTZ7LVp3r9JK-Z4PbzSp&ygnhx$aj=VO4sF;a6nx>Zo#((QQS^D@mbk4~rZ&3?|{ z7`}=F^ND5Ai_=0h5AbIn%`0p4(%@Y94d`DkwSW=R$y#`9zenWK>S0h0k7=*m%)8-a z;)2K}Nd1M4OAN_B_CbBfK%rz$!kVvBMa+|#%lly;{*wc}kt-}YFG=9wFrK!p4+(z# zWv1q&I%59<>{_5rUt)~UUjs3J;R)op0n3V4d#W< z^vqV>)X^yEx33HbuN}Oa$orU&AwFW=5ii<~c&)!aL;e}(tV36iF0;b3&V>Z3)h|EX zNYis8#asJe@ElT@e|y79eBp0vCkrpYb0YY*{O_ApVo05d{bL9lc20#6<8E4j2Pxdp zjTSOj=#}nH+u1mZ{1?%AcLd*(4dy;hGG9qaNRoV0?|IQ$zdpNWu)Wa&dVa|n+UrYO z0M73oVj`9$T|b8UmW8^Z!Nh*@pbf~g;Qd;4^_9PY|2q+5^FLn4N`9L241eKJcA94* z#z#56i=;Wsi=I(HNWDOS;&tO8b1VO@MUtE31D+Ci-`{@jEk4@V{@^FGKmq(Q$@%GH zqx+LQ=wWzq^Qav$-lS=rc;)zRiId-Rw#5~L^{NdkCTVU@u)lI4rh*g7KA|(=s#o0B zO@Ge=p%lb^#W%^ar?DBEuDrDDNa?Gbw<6vPSmR0kBXy4R$WrIZ&hhj+_%sJTU~k0r zQo(t{w;vkA+W9({!Sh+h`Fp5~c%47l;-$gkx{uD#k#H>h{wnlv;s3f`0pF7G$#XCt z6MyvHaMfX+3Zx-evw!S!(Gb6F=SX7w(osiGTFki#Z^jeHrh3hQkDv7%4ZY|r+sdJH zssrrlUgVeyucatc=Nxt+n!|{EF>44O+x1B#sF_AM9E+i1&N-P_un1tugrd9OPZ*Lfs)`_%sQ7QqF^Y zisu;=jZ)9s2HVYdtqeU;D58#ViMxO!c7p5O&zyw2_qcl!tzHvjX%@eXt<<2mV0ln^(^((A?gX>xSf`?Nfg8nxGtVVc_T&&}nnN zfE)BMi2cn6@1kV_9Ntkj;zMsYF_m=x?5OWqZOoH_JKnexzD^N5UNV@sFx(nBhEX8E zqTf&BAm3@=doaJTD4deGG1^_8C%!k7Dsj#!-j^#phX?P1V_9cSh@=sm6T8cxyZ4`E zE*cQ2dFKZ#N!Ez{<0b!LfmNRB9)CJ#>~6ii*V@nFuVg(jc;j2K=8W&+qx|;b7e*xx zaD>0|0rOB#!~eoLx=nMHPX_;+2T#0RSP9Njx|<5KPH@YPkWgcy>5y*D06o$ zTnSIn+U--b$c*vMkbl!?g%rNGjUF6O@MD&KpLk#1K(5s4Q!cT}Yjjeo_VFXV=p}O+ zS0yMHcAbf;S7HB`iIdx#8d{p7)6o`+SY=gx^EuY)LnBaZq%WNcwS%MGEoZ#$u@JM z%uaLb#P&=Q4)-ni+%*5`iZO~8N-N9#`}w}=@9$%xGVB#vtS?ZXp<}uKB@X@md<2R9 z6fQaUb=ueC-TqAXQXRh zFL+~;>wd?e0SvHb9+~a1X5TihpxnYq@x=6@G1$MP&fx&`a|XxY*>}#TBm4&q#Cgv7 z-Elt3EBgWYVl0T-3mpmCn{)72PU#hV$16Ek&+F;!H5Uaux9uFH0R0%(!JlT97{GwV zI-?#FZr>zN;rQ2SmLYj_w*O^N#TqLHoJKt+d$wTAJ=Z}I&_ubK?Qdr)hYS6_w;M=Y5wOg2{fn6!=?*=H_05Z0{k^l`xW+IkVfMg4If;qk+*QV+!v=3(zS2{ zSt-A6e-cH!E(^Kk3mrV?*!M3n7?b??Bl-pQ=cI(`JvJ&p{Tcxltl%xR({nJ!hB7wxiK~o!Psv|d=t$Vw z&+H!@uX&Vj;;4oc1eXoTZN>fBj|E7Z{HcT&HTWF4%vc0{7XKW!Z@Ll3Y)?YJ&+pkv z`1g;L^qyJqyL8R{L|)`g#Q$R5LOh-`7evy3h!G#$tb#s&2ji6s+%8Yg)%E8L&h5VM zny=g?@FhleghP9l4{2`oO9R^^_tA%3X%F{9W3B1qvLjg;naBs`dm8y166<+8oVp;c zBdvQ7E$8>!7XNL*@f5ndh>Q9(# zL2!S6wRD_2iGDH~`+aZ*lF+}1uO`un_Cv2Y2XlI@52DFY3iN9Rx`II~*2Rzwe-5jC zCGY*yQ23GgbHx3U*AIhU*I??17qKi0zH82dIucG!z=QtQ0NfkMZ(1FUrAQ74_CY;{ zaks-*=v#Tv`6!Zn*bqCXfX=Bur+azNj!gV z8ZY^7_7-_sr)3ox(-Fvbu0p;(H?>1(4aZniL(Z4vsJ<{5t5)3GRr#uGs;DlaTCVbQ zkYD>aABsl!D<#hZypR3Md5~9Z@ch`hZX^Mpdg<@>p2RZ4wa>=W7+!=VW$4dq?IrxV z3oVjJ1Q-X05l+o|C+1{o?(%!&1@QhId3qWPXKb=5en4YCRHLoZtPT$1)?cq*9@vvQ=17jf)_vnfI5Z_`lE+hAZ? z>mc+joVy7gtjsfthU#9}BbDsffODau%uBkC22YCb@z$v0q#(Fx@E$PYC*(vhV9z#8 zbkUvWjiNqWS0YcGalmhGxe>=Td_SiSwdc9vVe~sJ#OdfnI}kUOgxrG})A8s)Cn`A> z!B>o@BYXF}pAbVS%qJM_EB>plsIxd1=uKFGDz9$MxHp|m&g+bR&M9Lo;i}cy2Zwu z+Hn3wr9jOYe+B*60{rD~qdwi~sj4IB5lHQ+k<_f89YGSC1w&j5#reS~9%6RuxV?PDRt@)gH> zE~;azZZA6cvFP_D$ECWfa_I}Q=qj)WUp_!S2x7&;hm{$^lV6ZU+^%;S5v6<6bGd|+ zr>e0dQVH=~vsz*AT8cTzj|B-bKe&(gh5fSM{bD9mhZYv$X>{u1yJjm+4<(qjKMin8 z)%>F?6-n~SaSyO9C%Qd&Mj|k~WK?AS({AV+8N`V9Mdl_OM=5{L$wGCPRorRaNd!Xw zTt{?XpRSpx3m>QhoQOa6n{G)I-WbVAmeJ(LI*;6I29Du6HsfQI&xZbGA^5n@Fh>^t zV19v~GoMD&OxQa1^n~7$?=jzS)z7>tpstXU^?@I}@*t3To&3ofh2_F9lW>N;Un1WQ z{rG|H1?4*8n}*KGYRSI1bzqMARnYHCKhivqTJ!nn+>U8T7;{y|U ze2n+=gI|nsM!nOJkIeeW9R?kPEPwaFNST|?g8zlb*uk0L_2K-w{W<2zv)Sl)&R|=B zJNEk=o14=igu?&uXcFXyeI?eMJ6paqgl~oZWhmb>-qzx8Nd7jL+OSY`Z+rTj7m1g{ zH3y@25EU}#9Qy-4c3X6h)V#$Rp5l)WXq-X25zz6=-|+Fn=1eWUl*7|2i4O9>_wg_~ z0F1-Mb(xgQpoqpH%3pl%p*$)7M4H37HFIK!`FvljEGXxtlo~uY3lCwnqONdA34v-YX*_XHt!cg>D0ojcS5p9<~&oI|$^$)f>> zTzF%%qBMs9^Ag@8jmu4?L#%%sikvje`-+w(2)EL-N_mei*UXxqm5n?;#vlGWROd;F zsbr5>iEYiTXzz^`t-UrTDQ5}13*jAYFE%762K~MR3)8xXY3^o|0NRezC^y=Icns1D zdP|u{^sv+U0=TS<&l&cu6J>EeIqogqC)Li3ran@5UNb}ob~Hx!=SO_iCk9escg&N$8*Ym%fnv11lLr}wdjA4XEmYaSef$= zgzkbdAw}>b*D70XUht|G`E#A0n?t^AU>fMH{JQ|`_gVMg)=qi-88)I{X;6}?dpzVn z#IT^N2kIieFq+3}eZK3m!N1RC_avS76!}vH*dCVshI5yL+iFD+rr^FS%a6UGr!?)*xZ#4o5|Diq@GlL~>+g5fzNMEnrJi@V)+^z3BQnqJNRS z!@=FuXxcZON(W$a(<;6s{wI!ieH$A_ku`(sND&Iv!#I-7W0 z(C2g%A*H9%Z`faPy@3Vbz*P#UAAX{PIy$8neUY3Pa8Jtg#MQL=P8G=t5 zc$0~B7wGpbP7avk?PaBTgV>R+~oWFPrrh$|_ziB%30 z^vTlaL!ZnXO~2-NANWA+7c9AmR}1n~|A+bpvfc(3sN4AKNv$2HydrQ|nKOUlFB4@h zLSQj?eP#q)PpNDoxyNj887yz;TH99j5Ro|~JiEc(T6c^Hq&SOPzVp82 z-PG6eQ>gHQPTWscy;}%)O3cjM=g$CpU^zf9@Si!gMC}i=NQKAg8$k=3}6- zBKqK*u>(J#>3JSu8vQs6^-n+M-_`LUmah(Vd}+u$u}isM?2jt+3AVuQ{c_2flfJjK zSKl-I`;R-~Myek~D`A&tdZ*YBELhV>^A8J{8kzeBHvXl|e#d_GkN zc3-}DnDzlNnW|s^Czu!?z4U|!aqhWA1Lfg0sg68rVB~+T1Wq>VopbLPC?C4zZnsw+ zDbDwASm=9hIL+q92k(n=`CaJkWel8Cu;2GOJZRA%=!m&sY~@NrIB0f!77gr$O>ejK z^8B?@gAJYw|Arsui=z0^yQ1WMTZH?C$GIV6QD2pb?%9CL41FW!>QYfT9$tl7burw6#5tTv(`p_B|iOK z&L-9U|BL-J@GJ*^!JI$o{}FZG@jc(&`%egopjITP8nq*d8YL3EPf0_K>>&}dWROIb zB(nHOLQ$h?wxzZjMQfJYd(<8oh!C^Xj;b2J>ztGC@9sanA9q{g^LdZgIoEYPFP`); z@9*FMcU|I`PP>NV>D@{w*Y$jeYe|y8yTR%DafVe#3a-C&^?XNbn##sS_>AOv*B$eI zS0q6G8bh0yi`WQrKhlT|{w^|PE^$hsTpoB2qvwo$o;Z&cjhvA+8ITO}rY(UMwnoOk#HdjAnl?gt!+Z7sF7 zLw{i|pZy4WJNr|hTnY`2leYUbhS-jD-P=RYO;(xezb?om!PETXNvPjW>Rk`}R32P^ z@Fj$#Eo~yRm23JUO#Moy-F5%nB3X0M6XT_yBx_Y3ebSqW7PpNZs7-J3prPbzD?IbH zr#swVdzF`A&&IMj`YaefO)nY>4{f6}xZr$Hg%4AD+G2AkmU~O=GxXfkvE1Ok9IHn; zk|*1P{0qK?F26jVKrCbAMqqAdzCwF1V!1vvJ&70tw*&JNUr*Qefo}vm(3DW{_!-c1 z$eZ?}R(_Ln8YSrGe}VjkUZkonzM+%MeoJgcpV-f~}4<0$3-U&vFPEh2$xv9YId5H$*G zzBtPbyfwxfn#BsgqwC2$;yUY^BT5a)lN_&09Cr`wG@c%wjLB@)%tv`&uR^4!_Vp89N8$4Mr`~l}A8~)|laV(|#r(1gem9HldDMk( zu(`Jl9zT0kG!%WnCKP)mj(LyuS03*#;e=DmyGzGils8t#R_AS>0zwM=?SI&3Fm|Es z4>_t|xn`)ZbX&P0xuI7%!fz?sHCpD4Z}EQNkAE5T{W(WtKk>(YjQzDY$0rfn4K~9U zpO*Y_?XuGa!YxmWPp7?H8(8Qqy3P;2X~J9mVSt6s6&q7ze>xa@S#KM@VvCGTSc9zF zgzK1t?;njMsGJ{%nuicD9X6kanJJg4>6dy=eA__!TNe}j{~Wl-dF)meK=u(Sn!8#V zr}<;_BMZmtL_EF5Ir!GK0Oin!U~YojW9#8Ond@w8glTVRKa+BLeWNrt@Bmz~o2Win zn?T3;TsJ6)%(=)E`wiHfa>qKwN}t{r*rPFqtW*6mBLQR0!RK{VkAc1~J!Iq~Jh{($ z4kut@Yj?rC-`oj7otZd~L2k(XyV9S0*@5`>&V&9UI3wuo;#(@Xs=W~|DZ=wkei=l* z80ZEZNFmU|dseR(t+~u&&g!E(8KLKS%dygL^9Ax6k{g~7qq(eo260@Zx)1y?!c{QW z_Xjvml4I&+k{;6j{ud3lrR=nsNN|CiDQO>0Eg0aPsI&aO$mY$TwpN13L*P^QSmwn5O&}52i->$^}UcBxNps&euec>JB zb1pUtw`I&!c>L6S3bVxGW|zPIx;Ml1obuX5dj|3EO-BwWYeoSDRUnvLtrrC`VCGE@ zoxK6Wdwd2B3+3kIazoAmopMRIkk3Xd2LsRD0uJD=2JeE;3n5W_SqoWP|%s@RR?WUemJsm$Ij5gT7bJFT|x4C};3}cj53|nwO$`zpCI{T)hSd zL8&o=1+Ty2b+6GUP@fO*QEo?%+XC}^<%?q8mmDSL{m1qoQ|Cv~In??cGt1ZB)SC(F zvrZ49S)3O}er7W3D(DyE-taq(!Dr$=f?Z|CUS4N4tVgIR9XT|4JV`D0a39*d96;5u z;k5cPiZi=(R1V-NYvF;tuLHdb>%wO}9f|AaYphBnu9+JZnOK?QD>n84Z#@?KKTkfO z)eEL6v12VeU#i?Qc8XRG8T!P9!&MHx>Fwy>&B3=6Us^$i-lsDwd6H)hVp%v5_Y31Y z;$Op`jM&2J*_dB`_jMWC6+Ug`zCsc%8a(&>V>VIwgpIMkW#b)sSom@A*T4#cdw-|7 zyQ*G()sj{Y9W!cM!UWNAt~7Mg{&(;NNkJiZ~ zw4AQnF*;MZY!5w&V{U;pQ>Yy;Sn_-c^paB>{IYfK|2s_2jYr*S1~6ea>m(D}+8tYV zgnx-a@*Oc(3mEK<0UPaOID$JvP~w&DZc zkA1JahjV+;{&Cf7=fYPh_x0Qi%8;O1xe<%v-%o;asUHuJt>P$xG3#HLXdevNw&&7R zx6AUic`2 zOUvP2cdY88=b(!r4mll~I;VWdZ8sn-{|3MW<= z!UJ(}rEc;8SkYJLA-g(lg7(BaI%!XqZM5!x+(*biAC^&QU@OvPmQ@UKJ#12uhxm1q z8)Xvc{)?7legU=XXxFEn>ie`zp`bCNK5uRE)$`4eY?|@}T*fD1>Vr7pF1fQ_w#mdT z6N8q-lPhyV;8PNRbNX#V__XzG^?eH;)>zi*-oz92<8H>1E$ zM%_=Zf36se{jP((mGpq!i_~9#-!SFptTEI5>t#3L9b^?YARe=ugR{a#%l7=BCOeNV%8+_cT6Gs)TbJQ*abAhUj7%SZLT>mkH7hr4Qa)cGEL7GkRa@4^qhioQ=B2q~UaQ(PjUEw|hT{gtwx z99Lup zDEttnd77?%G?oDx8?jGjzqqd}aSZ&*2TKY>|HGRNB-APpUa~Pv>*8m`qIy$NCSSDZMfbVbk88+{nslu#I}NbrOXrH!FIxy zy#f3Y@_ECz@dUA_!|l8XrC{xEW+W+(3)i`DDGoyqMZrWW^nLM}9QIb8U%xc1ba5&kUoo4-}R$m#PMm@WHaR#KX+68yNQkTo7BZT zCfwC`-6@Z8znFi8C%PSZG43hzFEym!F&l6-fk zMC$L%1k56XZP8m>rO+0{IlrkItp3M+Da7@jms>;=*IKwkuS8i)#=s*H%6qIbR(WJ& zGlitUoi4uXBllik+=qQ zM3Zo`Vs1v9AIX|Fy~3!^0UY>~s|vWtO75$%@CUFB+9TOXb70_yNY3oY2#SP$T3A%5 zdl=-Qkt+T2dvj0v4&W$@L78&hEVj!M9XRI`TxVDuM0}P)!MsQN!&f-57t*tdYtgHI z98Qe+^M+o@pI0x>WbJeLJ6`%yYd~-2$4khp+lKhteQmYZ6aK+&9E)D(PX_`(96l0G zL6e=Y9J%a56^r1^@VC|6*U|#b8Rqq(3b+KW4$P&WnCFaqgm7>(%MBbZyUp&Ht9^>~ z;PW+K(tL6oMec2gBd&}^NyKZ`KJc+{uJYu=0_iXPX+}D&KYKag z(KBy?oYSvncAEBJjjcYQ-Oi5*>>^`I7$OxnPow><@w$7El)s!gcLIt$9#5oI>ZZ7M$NAp1MlV_?pp-gK3{7 zkmSZ(18Ky+4rlXmU%vUhyI-x3@?~%ENt-arf(+*#Y*Jl0B1-i4eB1|b5D#8>4)Z>9 zR5OC8KCa8jKjh0fs(oOr@K48Mekp^EukLqchV-R(ttWn(EU)p(2lYY@C>jQ|zQal4 zg`ae!506lo0X__KG&VO(*WAELN9DRbOC+w>S`Y}{#l8RFh%7cv9uF$=h2N6Xx&fZ_p>c8+qYdO~*<<$QkgIg!?}?hPtvr;-Wz)!yfx9 z{4v5s{-}!fkAZuJE%@(^hMTC{q%(1k>R&WwwEw&IUh9ea9EZLi&j%&sD_MQnv9-eZ zeN)wY)5oFDf@>Aww-ink^8ezuneIfOTujXd-&uOdalc4k$%89~)GK4Z-5znuABsJQ zzxFw4~yskY-`4}70=@19J8~G?75PJgAi<2z~Q`qM#Tcir-`rl*V zwD7!%^F~zwlo#xWzY#IIrd}hZf92QTLzMGlZ?1ak=U>Wu_PaASlC$f+xIq1-gL@F; zwQBweUOfYiTE#0Lcg%G|-lNbfML&XGISOjoy$o;y*?B=?n z|2(^wD}2C(AH20kV1J0t30v%mG01HPApe5bLiB0y$9VsL*MYcxBBSdbhae<7E^r;$W=FS$h~~Mo4esnaioP>c-xWn)+rC z*JZp9iy;dZ@ca$3;v$S%F~o5=(=X=gKl4nKJ;XsL^kEO?P5niq9ps|>r%bxHyA>w; z_(RqGXb71JManEm)A5``bxL;&XB(3+2?Knxm!|t3%rDZ56_TVrrlfq~PaW6~J|%wt!-mf z{$KEvxX@r`iaxg|#LCVG~dEJ>jUVegh40&l#wA0}tqFT&@a6CoVx z>?^6_M=FPZ<6+aPn+u`u^YJY;*wDOJZRB6Lj~V%WnI}fT55s*iolTlA7=6KD?EK!d zCguCx1ZSFcgL;0%U*Bu+V7X@aKlHt>LS5=t;KPVdZrcRiZ+kk?GtO05V}Hk>+2j%G zqt68|n~T%B$LRiPnFqm@_*G!*OgeGLSQ)xHlW_O{Zhpg4{e*ZJ~I`w&%f)Z#c{{4KXAm#T!?}VCA?`^YK z;g~GChg`E17u_&+l}vjVRalpp9KX>qxIp2)DSOymf)rKyPKKIVeQbeEb{gbb96Gvqe z+h3+zK@Va-5%Mq0PaV=DS$*TkJ8=%H#@~6Gn@PHDtVMmaWoKLM6~j4A`qL-*>-z%x zFeg)74zRbC$J@$5ARzNJ%l*IL-E0BHDy>qD!8;+AQbWU1v%b1MV{GYbD z>Yr#EryPFv6Cqx9XiFOP9fszazFvCX$Vn0o$)fKuKjR!*tE7PB{hXanHQ0c2*<1Fl zX7B~bdupPEoHJhEN}*nS?puo74C|3)MF!VBd~C|6dEhLqd>1KsvSr;u)c3j9jHUy( zFvuKy81y!VOt+Do(~SAxfbj#YM-S-<8~|Q@9zUpB#?#Tmcd?niZpeECexf}LYU~)O za|ZOr?@(vx4L!?wDguFaVVe6KjJ^2)kda-GZ-Vdn>)UzCaf4ntIN85ABLO_v;2di+ z+~=SMjQzqZR(Nd7nxZELxaDflE9KAAq8?ow5>dCP?RfgWBBFh}K0bu0^dIwD;9D}U z>7Bhizc!fFR9=g1x^R8xL^+CH=XoWOVz?F+eqqMC9$Zmuk|A-(5koRzb;A3Ru4+#A#!E9ZuK;3;k7fjtlWBIYf_pUkht!q-tD55kLM6d+XakSWFU@fTMWOn4G&_@p28jZd{id+a-mAE zEPBE|{MO(OGpGuBWnaeP!q3mS!QPXysTB|SEzx%d-+mR#{DBmaO$M>-+46X~(Wqa~^BbYdaBS=Ch&VYHIrlaZALBF8tH=554hi7% z1Bi5LS(0$!BM#-OpX9#+LdxSSmmkvA4}^0&(zta;&Pvms#-$d@-LgxS>u&!6^oeus z&81j!uK_>iD<8PcNX`At$Nj>4W+!vq>o)q5mT)lRu8rJ3r_LA1KEge=hxm*iY)AhV z3qrHv)#vuz4e2eL`9%Ubac*&Jpv+Y}R>P0L!gg=uLiuy2Fv3+hZu(eUC(Jd=j-s=u z*M9dN`F_?*?j?`~8#{jtq7TehUzSfWiJIq)ilsN4OKt~_niL3>8R9Q#P*2XEYa5JL zZgv+RTJa|c8E-@MzPf;ZWae_sw-&y4!JRbf!$J!9-2AbRhHl6W2z|G=F< zpPSvx3Zwst^{KVixTxRipe5mH_jcuy37S{+aw5K+oC~Aq8E`MRXO18_YDnXmx+gfWFWD zQOUN-O`KhzegUgql79^PBv;RQ=+FI8z}@8r=U-1>%ON=i;QeCl6mY4`+C;Kv`Vl!6 z&f_B|`Yq>cMkXnb3;X0MklT8}KPJ8z_{VJdp!~D9^vg|l#GW9Ro3$*+jX{jq`|>_) zD7Z#B?DL&gWZZ$RW91k5+F$rbq;fKT8AjX-{O6z0_c=E^-i>1M6x&wOKze2t_A1cc z`G308+5A7Yq>o9Vb6CrD+8L*Mc?bBp3Q)YgIbL%}$Rl%}_ES7x24SylO3$Os*I>BZ z6{>kYJQu}RaAu_TB5lp1*WE$ZfnNNiH-up5FV=XFcCDRH*q#g>V;f5^EUTW)y^g&B zbl%0=ZWy4y1qPJVCC2VG+MlbrjeoqgFKcFq@(<_P6Wj6b_q8VO-@1CR>1^nZ3=)E`hmY@x{z;M>sz`zV5FDUooAK*|CjCty{4gwBu800|+V_*^ zUDLF`rmuxO_jkcR)&;Sp+t6Pa&+tR-uV99P*}kG^8gYixx-hPe~x0*G;p zMiAyE>kHGXeFLrw=dMqN3dg4|_U3y(!^BcNlCWhtQ3ZZI;ih9h3D@8`x3=h6Wgct` z`23lZ+6Me&@Ir$hS8_8>l^Rl?b+E3^T^GQo=2(HH4_#v}?(z`P84C8;Q&0RltM^$G zW5=JOS4aAZ&}T8XBQ`su5_R7JonPj2?30C4))=`|;X4GYE`S^n+_VkC(U&CrvDwaK z#X-Ee=tl-#rtDg(-cQi?r57|HhI*m4+HH)XJ>^Yfh`BsdPn(PGec&7H7a)t*aW-jh z_fha*`MHMu*hIE3VBQa7gQ0^TF>dDXw=azqt$2~|LfyLJuNRiuU-x_1Q9^~8mS zDe5OH@Rk06qQGpzmix2sUx(2|7C3LX>t4QfGI8BUo%`{`Ypv7I@(2`cR9xIKghyV( zmTuy;*`yY7B%H^~@K--^Y`FGrM7ofi6Tyd(-Z${ahO;pF!c{pyPmr&Kt+o{W5V4~_ zxn)Qm7=BB%wRf7_E{=o`Qqx4j*I1LL*Ksc|>D{_KDoJ_OUsv)juphe%Ik+qKW6>Tk z@I$X;|8j;;n)>z=Er?xe(~44P1QsiozR9Qmm`k@D{goVa8=kK|k-|vrGqDTNy+;Fc z3S+Rw8MjIfybZm+9lmV-HwA=a&rnC^9%#{Jb~zSXrkRF8wKStu>VukF0N{wOP9Hy^_L8?nmYsv5$1hfMD@y5pT+PvLaSL`1orWw1DB*JuVgfO zIQhjkKS}yp^S0-!zILmCKEL3T`NyPmD*nFjz0Y5IYcG32nw&d^U$Kz;>()o9l+26y z_4(w%x@SR=^nTC9xh{tDw-zIbY1i>tA%xU+&j;_!NaTPDH;QKf(;*w;_{0wUd6>pF zXiyJgPFCCWO5XT_c-1+lfoIHpIpBjz4tr>z_A(4KYLB0|#x#pwKM^I}9_=2C@4MJsD zPKG}3Fz@53arP_tlb5s64}MFoQTY2;bK+FWjI)Wt+qsDSSf&6}FB)9WR`ZgHxYqRJ ziZIQ0_4Ly{<-actIX512p#|&{erQR~2x5K#KaAL2-JIy%koIo-*F@0*9uUrtpqjh( ztn3_&ek=}dB9F|Eqgz`&$TDYqqh;79bKiCM>6xnAAM+HB^Iptt(tkeGS9@07vQ_UW z4kNCausrB4zQvbM;s52}bY21tgkaGO&o${g&%0x=O{v9YTk)O$G%TN9a359G0D0b> zyBtp2*xg;<{btk{;iz}@f){^5V2YfnGai`FvF9J=H*;80r@XV9}qZh*OMa2>eV?~<27tdIT5B??k#J54!-v)oB`Y?+Pem%ZR&!^5@cvx+u_(09S z2+?`Q1^g23Io#tWzg`cMjqr`81;P)+U66#P14|p;U1rA_wy?GNH+`z7Rrv*mE6*~-*SoVwI`o@Yrh!sqM!`n|FI{o zb7>c5O-GqeU7Du3zcmiTw@Wd6kK+5q{4G61f0P)Dng3Wfg`V*_**2JNpnfF@eoNW= zJOj^$^LrDWRfiuRLH+okdpuS9>WmEHy14#sF;tK9(tQl7&U?lW(ImK`jpp>AZD*@r ze4zWF=4c#zbkbw<=LLgtkvrCybdEX{CLGE26~1zA^W5~(kX+{!?3K9J>YgQ8+JjiM z0rS3arJM+9%ot-@lzz|0N6mmt-rv&$ie4l1NsZsGS=x}LBg5G-uHM1m+uC};knGcf(eDffB7B0 zU*X!Vk0iFk`Ro`*a4n!%(5&*`bJKq2el{{!h7BpuUg-zjX~pnKbDMWh(VX31aWq8= zRIVGsyZ4mHV(h>CXP2E-;(kenZ`15ds`h$N1|9ImqOWh|{uuhc@a3zaUz`s{ z>&*$R$4O_R6A5n3Rqvof&1GDl;{`+d$$m4bzIrN*LaKsz1%3Z9UynO0c}nZBR}uq^ zrSQfa_e~(Sd!4Qd|JbYZYdd}&MT>cH_!s>AQtW+2IV9lI;P`Uu*d-4VE-2nFTyJcD zIFmrJS-R}1Cn1$uwGaIK<+o8t2EB3~T%A2VvQ@V)4D#=A4AhK244bm72MFrhr#q&b@T*C9->V9#cI_fw1h`HT!kJy2LpqhkM5@q zgs5+Skv*{wylkhn<^ijwllWYpIOyj-A6!=MFU&|(zsjSlhUj1R_}my^*%N-tk?X=P z{gy&lUwmlUIGW%d+`J9>O7Rgdj*!0E9*s|dMlP^K?uO^1Gu=!&*G#-%aE_)WQ{SP;U>D>;_&ud&wS}kl-u2BSIiA~Q zDX*`#7cu6)amN%|0J$r7vGT_TVt$dmr&&00%)R`TyPVUnc1|X)VPDZLfnI{MKe#!3 z^G%pUe%s)+VZ&@&;*`?wji6WZ=eP;;3!mS<4kxj-hPluT1{yE56&`33u4n0KZQo0J z7YD!(a|&_U5ctR1i1KyIVD9A(>s+cju4e1@1LA~x{%sSJ_P?G=6Mj?qNH6Ujodka} zFXGlBPr{(+lLfjz9F4vt=6&AtCT!P2OOw;6;V0~Lu#op`?N=%4KL^+5SJ?I1|6OQc z%X8>rIC{w$Jn|?~-;0Ao)K5`lrhWs=`_jw%(1!lpX%pCRNrC2ctb3>)>Iwah?}w~- z^%0{_vMPg$q4!EZo&o&@Hjef1+lfyRpPT3{m|vKGa6J|NWCk2ZM$vz$Y3+jd`BCO| zElHq0tWVCv`vpOOnG^Gg?M-W9V>O5033*NSq4q5^`25)edZqOwE9U~M@l-z_&h6el z#JHS{4LX1~?d@YeUM*d%a6CGq;{fbKl=R9i`nY2F~*XL5^YRCKOp0!_vaT&EZ zou9gp1q0{CAYX|e@3W>Rz0O)V5h!S9_pFZ6Jl@Pu@imk)$a`-J7&-GQPr=Bw- zGnLC4j{Ajq*&V#78339`2B)ZAe9V{F-P~qzHZk5W1U#h&9npZ$u)pdfzRBue&rP5o zFvg9>oFaUl&^yK)o=Z>LN^h@yKin_&pJy*c{|m?D=I;w9w1BMoD$|9`fi;MJVoTi^ z@C^N3xDDyOgfE#3f3lnl4`q<(20xS=EUS$ioJ%qvjREH#_d#9gl{+DS&VQ9gRha8M z%S+DdJJu%=$M}oRfg6t8Kx_Du*{4wJ>vYxE>-&g~v1J)@%v|()+Cq4YZQ7^OFyshN zAb(tj^`CJ>r7tMT8?-+2$IbRx~~*`Vw+Tyr_oDtUdy*0Rq_vP)N833+7Ur{g&c&)JTlAv<9Cu0+dV|v?KgFiNufo7KsIqqS85q{b6Fukwe`d0SaRv0swr;O*a z^rtSeq#=CX0)GsuU+3Pxp}&$3RD+_Z1MkB=jG(!kXCHFKVEcT63wTaE$L#YE--t8x zNnV5tkwUK?13-bCne^R3-{<^M z)6er|pV(?or1ZLZT^OeQqX*0+kKH@mP5hnpd~L`AkC$aG$cq9q|9)k6N@Y9?=3$xZ z8eyL-|D)7kj;{C0c{PvsP6-B094NWQTR^vWMO;EZ`+a%$K|$)0<-p}kPJ zUnHj$i+m-=C6g0LFe+`a4?czg^VE5Rsn;#nRr)WFg=z0e9Y13HlF6^a;H$Auk_*)x z&dP};opXS)vTg#o^7(hXqxL%PLp}pIz~t_s6q3UYcSVL72hW3Ih_M(=e(|7iye3;< zevuycO_{1Yo%AHO1uwOOe~kN}NBC-Q6Y|K|s&m|q5P&qLxMa1Xn`I&o#lfWWRR2t@tmtL4RSr z_Q#(w@AKXQIm!=g-@?9;?P0ZF-x7XK|Ci`H<9@jo(EWH{WN9MCDvX5wBDO+LFJiZp zO*f=9fC57-I!i}xT4LL$Bm>{Lr%jg!Igjk3--`;GcgZ_Ft$8uY&u9`<9*!Gm-R8 z*Tp`W?{myI?Ei1qD?xil!Mk8i##o%cn9JY^-uTxk%ZFF1lTV<(qwu=SNa7-#^K~Up z6m>FJ^K|eh<1zo|f}J6h&cMBWPo>pEkXKT@FdDPn2Gy^ah%@YMbLKST_Z1~Dt~SO z@|6sDLY`6bRf&dj4(r7zuPzV$FU*^UFIx5%$XANaQhLDve#&ynR`BNe;D0fUb|Meu zj{H98fB<^EH2!#w;)q!;$^%(qNuf{PkLz@Gg8KAx9d&QmF^cNp_PXR1sy!~N3XLSz z6GCH@PgjCI@w_pe9=K(S{xH5)79A@@5#mcvnvEAwgKm}FpKp8#>cRSDDcPDocoU}Q zQ1D^6xB70!WMZtq$u1!DmMSok-uiVhC$s)Pv4HBb4S7L#<$gR(re$mh$%&^)+)KCWx&b;vvxF=0R0A?hhnj)HRa=7n zgmB|(=2NL93TPa_hXF=njtTEk?nw=fl04*qJ9#t@-{YuR3G_2+CY&Y*NuNMl=tLaD z+XlZSUzf}S5WV_MnIW9O#`Tn6Z#`b-w-M;^6rV-C;mV61WnX#zwWe!@6H||NOed?K zt95#l?m zFhH9+-TJsmeT>iHhv9=3@|Egqt1#Yo1Q7$e#b91+-?7xa5}vP2VKmRH7Vd@N$=8A z@cOv#>TI~`iP0_;Bmo9nLhPsgwBiEoOE~IE!ec`3p6riqX3%+Tlb2`RHrQtrI4f5< z<$-a^j~-;wy!=b_9&w;)qL=g~+MzEAcJDJ)4(1cfeyvL3AH!|iGY0)jwT_Q?V(mjS zfUWiaCXJ>5cYAz}h4AeITc*l$=*d!WA%C%h!?Va>&Y(+LzV=nt9!VVkH?2hPMUpGK=IXk|7g7!6g z2GX79%`a?%pSm^2Gy~xGL=DPz5A4Ul?^=X&`d92D`YB3%g_gK4IEPh|pg;HaAn{FA zhd#^r=V!^Ww1WRwiQp*iasVReruw0~)uY+40q1lB-;xbhzCP-Q^&3vy+u=CgUU^x& ztmVA6X9)Zd9AxEvGV_Ik5=m-O(C>{c5>`pY2G__%Y)PSTt`{E_OfMl*j(VS>{`G)p z)e(+5(a?a>MC{<^n4Sogjg{}s#W)^}mzMgd3;n66|bj&Y4nXU(OvUHz~ zoYm#c+x8xZZzByDnanG`ay~t?5`9U$U~3aj;`6cYul>*N$Rl$ z(A9JG+|qQM`foRs8%RZOpo_Vx7kwK?CwY!Z#`}fu&(`S_iN4%P%e_R`?^~E8eWmda z^3{(5J`Cfq{R+~_nvEIVd}tWVLpKV!hznZ4RtQZenIr@1Kl;R-XewUnPc1^{U4n;F?!wD z%6r6q@Ut+VY*wJ=rtvwp#f`TL@3-E(z)1*`o*aITiVvtLioWC+N`2&H*cbdy0__ij zfo*?~a)U6hah>gfs94SO4nn?EjALcSr62GCTh-IO*vni!Z#MJMoJY;!#4X(2y4h0# z{PuHvtO+*Nx1}}H)$eDCeKLP<8^#da{PV{lXBpC)jmyQxMV^CG!0SWIs;zghavG0g zzrh^wM$yWfOmiky(Uvbj9vR2YeTAuH!-nC(8Ok|@zcG;woZ;ZZv;%1fdZo;3)6JC= zjDBQ(owvmNBE1;@o|in-KWk0$d^v*i*a3X1cRu#he9YpPhTzb@bfE$cJVsmU&s#8o zQ0sZKRToF{fV|(bbCm9(8--GPesEhC8G_Nm`>r{Il#Y53uM^jOo=J?!IC?cxdvMQs zD!0)A`9ih@jrA43mqThci9GZ$O!rqM?z-blOkkwi`MHAzO9%ni$|8ZUfIkI6JeoN_ranB&Q885!VJ}M~#K+!ORma-q# zEQZjE4k_Q9 zT{6|r_%f6J;X0jSPu1ZZQ>X_Q=H~he-}xZ)muU=g{5wqZV&KDYAI%}VWYr;}6Q~Yk zHNqZ@V>8($cMP<=!+2>cdzWva%kUaOLm}a3SW0_gimE`1*bCV;)EB zuVY?+^x0Y+ewdZ2^M2T-49TJ2e|F1|>%t{hd+?&-C=E8QKJ87S2W&i_MqI<#B^-G% z^pj-ceqm1O>&5V4fxFos=OgaX>M+PIYsqUyccDE z^kboscdztN6rR(|`Tc%BQhl7YLufgJI_H`Z+6phMoZ_baaeZv4E%)%@ei2SuM0d&O z->jlNOz#F@pZuZayH{zYhH!v?iI<+Oe6v91QpV=fPS}D{;bW2BjizCmXBcPFeIoi_ z+@J27_sgw3_0^6_(7aN1km`)^H=~_pqt(Dz*+)EuuWz&zZkHLnChcZcPq+eu|H@TA za8n=UHvJny){H9{4SzChk((2(g^yDWJ|m7R**c?N46)Mi(_^$xbw?s0^^C=CiS(~+ z7>;}o2gOGQ(_r`-%fR;#UrXm`n#7NzdCt_457bK{=pFcAfsa#ljttJw9_X)Pv{xwK z(0oec7`^V6n-l8Y{Sxu}2?wU5Nqf+Zi<0MdJA!==^P1teT*REy06#+e4uS}k`u=h} zmtPJHn*6&ZRpnx={S!zq6T=({ZMt!fMnq}eJw8-CRz z!J5)w=;7M;c*l?)CM!G5!(tCGihZr6{yP614=2=Af3$NH`jQxY^8vXs;H(y79{ho+|Zb(F?(AX`gQ3DIxz~4SUb&kl7|@ zcoEl`<$@2xwwxb!fFp)p)j`--vwd|$NIG3#3-H~$Nu0kVTTQ!h5uwJ@(DcdzQum* z^n=X{i*O!mz`dlnKZGL(9;~dD!BcAd?Vi$im|u84Z-sr{9gc?^mG1>N_@XfOH&_Dx z829@uiW2@oG3FQMaasO?{uf^O{R;gBv4ZaxAP36*)~T`d+_bsFf}#1^v+Gi3h%9T= zBe=|ecCj6={%`_+Y$6O+;K4G^=FkLt$vxCuX)T-s*G}o01N+)R&Z{S0j#2(9crB}WuE(vk-%5Vj=s~aVBcFoWybtBB1Pa8FS-a39#z4^b@Z+%$y|mn5{jt$RJQoq8 zuCXRg_5inhOvJXGKf(QxbNnLQ_xK<~4#LmR{U$eYox`ru27XSSD=l-<_59Qld`s93 z-otk$x&2)hG!H?I30+c!7oD*(UpYsX#Rj_;zQvyH2*-)~k0i#&rJoDYUgq;=>TAdR z!q}+I4I65n7k)MI+pp`c`EBrqY#GRCj{Qg{9$>B;(x2Kefj-oL6Z~83$KXpngFVAE z20xq71_fMYas8gP*Mr1LB`1NNz5yG)VrtYRA#@#K5d?W2p`n zu3zI^iHjOf-ZJ9^$1QNbu-`TC%kji5hf$F}#Chu4cz9V)`wWs!|8(IxN%vLT! z_D+{`>!KpeFGst^-tP$x*ik3%J++hc{q$3b_F{rZC_2ni?8jhJeE2Md7*BgPKAODi zoWK7OcuK%?*9s~@e zl0*k-Z&jdqHuS&9d3+vtO5FF1dA}tt|9bEz??TLB-VO`l=r?GZD!Nt!?5S)8$XsNw zpYBsU_xT+3sP{rVDKAUWBlD1UQc zJpGFL$ELkY4Vj$$@BdX6h+lJ zmV>;J=n&vtv|$4c<`?#9EClaD_L;q7=@ZV?HptiKPvgxS{ELZ;=$YsM0 zSbHjXu(J1PVNXoKEeo)wK;YuKzDU!5{;`8Tr;d(MzA^ZD!bA2eF=~x?*|2q=6#D&7 zyhsNI3-@>J8uVM>b>h`9TJ?|&XFV4oU)ht_E6`tp*pP&N()p;rTMGS!`xC4J4Px6> z$&+Z}bjWYs=G4#!%`3>M@xM0A#zc(W$ZCAifGd4q>y0K#z6tJnX&5cUG4hFxADxZn z1HnrJEd=)(;oLtC7@es(mejw+h{8^O6O^;r&{2O~+%MAGQzMl0!Ynl8oaPuqFJa5O z{@8sw4gBOEuL z)sy$S;r`)3;p0eRjMEp;E4hER@3&@juoGUSquq$Vjv_}J$ssRq23{u{9(=lM|3)43 z2eWamQ@lQh##}QbhciE(3h=sgdLKaBfzkJYUMV@vqCD!x1qhh;Mb}CPXPck1m|vvF z>~0=~GADURg7WMVk+1yj)PyPEiL%{lZqHch?KZEAy)*0?HusSigu4}l`Uf^l=E@$kqO7;+hSwF=lH_9 zrzo!weoM|D&WF!i^2*?^2**6nnYfNQF*ic>GUh4q{o6N#KBO+})X6nQeK{V6=3rh& zs}37vuD!8Yi8K|3cGkAgTV(Ne(Ln0|=r=n}%HjPhO!;A*{D|Xoogcn5I3{XjyU2)Y7_t^^AEO-m+MdeEbIg=l*XbW; zDS!Hjr{wA0;yEEbp0j(f@+9!~Lkp1nGx}9GtIQ z(?_=r#^hTxu%k!JvuT=7(l@rxU+;VP$HdRq$AwE!cAq+8OV0Q)?SCxLIoRJ-`X)Vw z<cbxb^lI^gM$J6@#zBJmwzO)!G;qyGrND_Zd z(}l?2V7;~ye$K48FsP#7H8O}5d>B5D-0731JnBdb;&CVwKEag3!8s>K!p9|Goht_S z#h&xW`HTy9KSUD8Gw)i4(6vZx5HRlxH*KDq?r+C{cY$?X{jSQNeS!VhqJ%Mn&o)n? zZ2bNfUxNS2eN^$+j2E!g<}Ha=-%GPVV!V8_2>8}ukGN-1*&ov(j1Ff+Tsf6*QeI0! zl<=kBZR3`$dy-@T|ji{}Wy5Pd@n4klIu9 z49U6pmZkLhcx{_NjbOK35aFojvPn^t%7Z{qDE-X3<-sckmYe5(Z&?lTwzzlxgz;nH;3wfU6_}uNSuW}iZD%KZ%|+lF z%ev*TtMqV;{U%4|zy9SJ;+MKHu-xF<;@{va!}K`56#Hc1kD*We;QrJnH<2^H!u~kq z#dz)Nj(MN|+>Z~V{}k(}ZD$KKcO05dS9u*-)kpgVQqo8`BF8O=ZP}-)<2;5q_}7^C z<$QRy&=`T*pEBqnF1$DDF_LUoHvVRHZV0h$Wb1J=+Q|lrOYrlv5BgUd%3;4qD$aqt zr^LL!0R;^v$eSbOkFGU6_e+6^P5DZ*j;Qn00K?|=i=}qbe zy)ut~psnanWez9w7x8}|NKil1?jXr6Zd#d7jJ+yNij_TyC-!>cBTp(bwAj0z^eOLb zJzn!Q1AOQ;=Vicy?al*2xV`cK7Fz3bsWbS7tlNTj0eeJ~P95QgVc*Le@W({3E;in> z{+EWFA#*222TKpc55J#asQRGSgL5A}FBmMt54mfi8CwBDY89@2&n12o&pDD$ zD-7Wf9d)5Z4qTwWG8S9r$;f~3$8#L>zVKA>etA_B0JuBgR5OS6eW4+kn4B2V?e?AV zB#!T2j7P5+`+~M)sZQSoABjcJe7&f&0rU|qXZHyf*!JmxxY1P%>>2Th81$vK|kC7gxzRyc0 z^5#MX@FJNn9)LNe78i!vj-e9NOO`(jqCI%cINSmEiH)W6W6AAa>9>R4>>_jP3ya)zvvjt!<&h#~nOO3_~*{CnZ2E_5bd-%p$qK`wk?xSvV`7bDS$ z{EPU*4D7==w?E7vysZLLpGMOyUQd3DeKO}N#w8L?Z!haWe-R%u_?Dp6yN2#C>AnK< zwfO8i`Vp`9ZC<`K4s(%ZPZwIu&-DyT>8Cainn2SqHjn?*QF}ZZMUnJ}cMDa{eXU|c zdc5Js5d-&Y59Qu|nyGv0l1$x?pMcMwdkyiua;~~8#aDbMKbf-0#C>pg!j!*0^XlvG8q!PkQ6uq}r+=4E1{;5~0< z+ex35-^Buweenucn#S)R&a9y3x>2o@pQcwlXI^bl5@#JevB9NZvrS23!NMIeSD(x z2X6+yQhISe3M27-WSZ3P+b@cC!Ix41z0!pr9PkTtW)N0z5dDR<_3kd1*O*WHNv!DS zz2JA{I^#*dl^N1!^GjXLlkClv{pF_>-l}Kp0Z)nV-)hLeNZ*6C^23TS-|-FpzN6+z zXN;i>{~ay-X?h~YkW2X0~BmwxM5OOhIlkrQYF1EB9a zXpdT-DB8*WD33?b7~!WQPs^Z!`slM@J@}S~o?p->4j1^*f6*t-*yRn-_qnbn2%N&- zft~m#-B-CuS=q$cCQtl4(x;32g^xR{Y9wpk6!~$Plbz6u#q&dlJBFMuo7%~9^?S_w z!t>tXPiMF~gsCujp4pjgwU<^84JI^S02Ceg*g~$FPs!Nu+XO z?hMnM@K7^7Psh6{N3ns87FL!MR-1@OWy; zFS7CgO6&xKKh94-Ve$Rp4EjJ>_l7^2YxWH60fig-MU?nCrxfQA*B)L5?~geL%Z3I~ z&@J<*2GDI7U+3QvJXl;HAFQySmMZ&r;(CFT$zznK`h6myEgVEB2Q+1GY=O!#XY2ZZRs-qnDFz<{-&)f)#Y`4y&TEW zE?AQxJk{ftw~cCuU0=k!FSya}|DD*)NuP3)k*(KlovQIb77!Lh`2;7g8jr89BO=lish;U|#jqn0!6A zT94HChC>Jm-nXk6K~3A7J>QLHb1)wIzBP~Yo&^MYt4-i1-LB#PJaHLvW+6bi1nlr%?2u0AsqVf3W7$ z!BeWuuhE{-1lK^;s+G>f>mi#(5#$d8dC9X>yg@u>v$V;*zy;eB=%es33`o&O>*mv_w<1@x{Z*!q6 z7CQd3q@szb?sIP;FUE_zmX7os@uWxLQM8Ib7|i>79n58)z@RZPovp6v^g!5i>>UAL_}3P z>IaZYJorOgryG{+|OK1#F!B8 zdui%7nBzrW08+GHk|ccJyn}e}VKFi9e1Yn;@WTiXv$l_X-vQ`}6^?e61^omeZ>x2x z^tOz}dr5Nj&58_u-yHuIxs+lY?O{-=c@`uy1d{RLz2_2X{3Km6H7_B8LO!EcQ= zp>N&0Yo9Il$t9>2ShNQFF$;bYUpIbc0r@~Y9fO^?Ls%fyK`rogT<;wbN4<>uM)J=C zuutZ5!msdQbHV39_$^UCKfDp<7cLM3Pw5S6WB%9@M9o359JURy~KZ1DORQ{ARcB@Z*iki8gI0dJ*hdayG+!ccz7TW zh4;Ygz7g6hi#^|`%#Cuilb&`f==+ST@W1FP`N}0@a)|Gbf#&0s?|Sx@G5a|L@YGzY z!G#p?!?53Chqp<6As>N@&76WQUNSfCKaiyPio5y5&x=U-g)0i$G&>iaPGh_=Ab?ZH zb)NrX-q*aU1)=SsVQG(4;p+dq9DGYTHx(Jech~|y@Ei~s#*CyNcLPt?Az5bk; zz6a1Rru!8e>InW<_@M&rRY>iwyfbj!`m&G)o(}gnP3uu=;2~(LQ4vq)5c_DoERa08 zz;79JQQV+4@OffQK0YxnjK0Qk;_5k*ax~4Or4M6oSM+PZH`LN{3}vvOcRh&O0Xr0O z13x$KBPYg6?!YWKU-MV9%M2d@ywxKr%*?0pv}hwa*$n zrCt9dok*S*L1B2B9w|yCC$3p@%OIIEaQ+F#Wt|#jC@1J%G@bE4vNH~Te)gq}Nz|N7 zeG_fuW8j!e20w0m;CtB19CnZUX!<<_MZL7aIKW<-)%vK26Lo>{p0G9$9Lx{>{{V`6W;4WcO@wqkhmI zSTCL8OQ1Hv)|;(8t@wlGQegtR!U4w6f+GTds zhK)D{`8r2_89-cv;oBeQ*IyI7qgS{PbBRZGvXlM!6zGXH8Q{{vRej-oFu!oI?~x4U z@7G4(E1z%vA5-TYmgU)Odr%^Z4I_dYdl#^aA{d`h5ld7M5Jl-ylqS6k2&hqGFR>(c zjWIEn&lY=cu`6O1!QPG7VmoVQxXwBIzrFVr72fxG?t9j(^;_V>WV}0;QP3q)`%$5n z$oCKX7vX}YxhtPKAM*?HW${bVKZM-312!+KxG=#!nSA)1gx_-6q0BVXj!DEdbHBDj zUJP;Hft%pF$KvnnFz}RkAF<@J!MxPd{_vTAi?p-?o|jFdot!bh^Z-`EVUUUX{}Wx* z$8TmOxzE=1%lclcb)ml?b8mkir+yvq$Jk$1RQaYcpFyd?QPLyed)-@oRG436Pg8)t z0~Ssz1=6436<3Ad5_Y(2j$Wbk4GJu)73I=64#c@cYrZ+yhoaFMUbh$ch|{1Pw-_xy zM|OE|prjzA$Z+8gY@sC`&nP%)1|BTi`mB%x6253jNb!sm|*?HL5vyeVBL8E(8CTi;A(|m)@`p zN8<5p2zW|6@M4cVpFpSB=hr<&eT&!+V(T$=GV;ihlX@DaJj{6TlNscKJ^;q{gjUPZ zT)!FiFVM%9!f#oP3k5MRh+hf)mAo$4dKP|5T;H}}Zy~*IQ_SfX#D213vx#Fm3%}ay zIX^s9-eux8A_>!p7SganzQJ5)9RocVf@7r#^rgeeM~IpYnlD%r?M* z?eV;Df5qvc#5I^TZwJvC@a6Z6aw4wzn7PZE>T_YpkNJcakLUL*IScp2-8xga5GQ`e z^CBRpVgq%7#a)hM5>q?fzKf(oyjQQ0qkNW4N!lBS`9*whNwLBMd^s0>kg8Gh8ZFN! zj!!jfl1$?nECqdxzh5J|CaJ#ZW=4RH%y#-4ym4HELp-oA>Gb;n6Est%3ZWC=xrQL<3hntkyOZXU*8)B=faK* zi=r?tB){oR(;rp(A=4#~>cVDpyCj!FdGIt3B+$_wZI8u$j0H*fH<-IW_FAs;N06Vv zts){f%ty|5d+d#6&H%5Ebz(E~Jk{0Qz*9u$#&xKw3b=Mm9n&ZRs!uY)!nD^Nil^k`=;Cn^XcjyzF3PHc=2<_8_ zJ|?{HdSSZ9nCPh7%1Ob}1J?T{{4j7g|I|B0e0yKph07j1G1DN4wZhLYoVWj(3di?< z$Pci;v@iDi!VP(H!Qfba%fcM>W1!E1IjK&;Ub2@qtNg~0-tz5Enm_-hBE2|qs8<{8 zE5)Y_|Csbqj1E=Z-8z8Yp8|(!>t#c@yXc!04p9p?`pp0!5q^Hz-v+0vFWt;t^Vmbd z!NGAfYl|nHCup`ZAH&<|JG>V;zO=^oo*_C~ zw2kDbmUqMV4r}eHcZL$bp1q!+2b1&SDd2Q+p6H{s_McM9dRD}VzufTQ0Z^0h?WH;da&*qsC%fAn=$ICqNJLax$89>tIig65_N7HQF zYnYqbDTH9lm{P8HGP?-@`fYR$Y{fP!au=^N}?0 ziBdf)_=dsu*|@wYisgZ}=`iA2!Uf=ualcv&aziqo+67WqVEE_$RL1p~6H3k5Ao(_z z2D8y+QncJN-Iw^N4{Ao9>Pg@yi*MBqep3NF6d8Q3&Kg?_Z zR=|e=ozMN#?s$qsEa#DPnDXDZI?}1<_`)s^rYAhVfuGE|d9RTv1i7_&68w$QpZmK( zT&wKZESx}_dpdEwDKQP$_vTp1qqu?(Bf9sS^9EWKgD*eJA>k;u38H<>W1r(y#ua#D z2zKSRQ&}#nqUfUi;7?Yrc^k>I_)iWc>4kL*phY6^UNvM72>yobK}VxE9Q>vUgVMz3 zRJ<}>IhYOHrSE18@|A&HTvX&qz(Vfpx($3w_OBt2Ed5VbeKkipJdQYC9F6=q<3T!N zPT^h{`%Cu>*-QM-h5`|ziiQvV88AXmI(w_`(k7UOSi#7R{fp>@zR;cF4{5X;JUw3L zq&aJD&^wbHIjDIhMRPMwB?k9=Y&OxJ3%}mr!Gah54*PvuG0rB@Gu924y9+nr{OVYG ziS@|E^Z1^_Q1tO1-1m6DjC}1Y24^?&AhxyEpO~ck+ihmzkIk=v`Q^8Nf>%JlXu$O^ z8ww5aL#@U+$$HUf^hp5II1D@`$st}ap#<(rf8s(nn<3BxelqV(ZP1s*wOow?yU;Z5 zc|@*A?x%l&#}AeI!2auo^pP;{f_V<1!^GcLANxhYI^y{h+@f0`u?$`Nj~rsWK-$Gn z&2iR(-+*}%*cV@Cp2cbOM#9GLdnixm(oFDRVOu=c7e9v-RNXcPNHJv%YA~hTxF+4R z=^VYm_CXip^&U7ZjOsGT<&GoC+HhYm<-icNwN9e=5d0HTsAoS+qQT+XA6snD zel8exMPCswCJRhek3=4sIlW1pvEK*w<>A!}2KTq5q8}M@;`JH>f~X#Y26uRA4!Xk| zV*$_ekDavNw;lZaGdiTKFVg<`0i)Y!e-rW%qZtHI2m5_c=x*=5Y%p%Ev;p|%+>Zrb z-wXymwN4|%y!MAXq$^Lt!kw7TP|pWFw>*aIhTjtM%cE(~llcR~{ZR61PhEB2Y!#3a$(+Po0qMEir_b-g=z+pvOdNPnl;9)nTJE{QT0#a@<{e zn9tyRL40k*=RE0m>HRog@<(&y;7>*$WWRwP#PNa|=v5Z3QGuD{qb5)SWrIID9XYd_ zGWc9I__=R$B2V)~i$j!O0lpom$Fq+dcOO;wW6o&Gn$l7Tw}D}yNl{- z_&yC{p*^9@FJ^Y#5M3-OilnZi&M?Vgm>~baeC6KX=4qa)OQ7`DRhyS1edn|?lzM_6 zIOh>~u*`{pKG~Ly8Q@)TPr9Eccubrh?=+gmVBWI<7ejJ{{fZ3nZ(g*d2e)8cI*Q*T z`{v=d6dmS*ulD}@*IM^fh6Qm6^=W4_JX4}LQ5Z|}5DAw2a<>*73N zIcIubgF5gRwJ1zD6NbO3_H+C&R{c&dv;S`%na|BS`@x6df7ts#?H8-=rG9})rG`1` zP3)tbziibvslV(jXL)IKl!UK6Z)9+<-#A$^4OPSgQXY6!6Z%d zlF!mqzc}C~J%ui06>{Qy zK29w$q(>{$M)C^dF~3Ov+{vLNc%pkjl#Jtl_aNje1>9>b`I!d(`MN*8=|qdTm(e^^ zbkw+9_`P|I_~VWtoUFi1!fVFiaZ!Zmbz|OVljvsiz=MrIvG^$Ti*er=`Ye)pu|Em= zEH1wBlk=s&cAX9KFTlNgIz2@BudR{@Q&5vyu4bZ}otmxr(xNVT%7y;>vgmya;pghk z;NyxR+8@4QBz53{FwsPLE72}Aoef%+R(jw4FHd`>9yw@lZ)qGI*@TI2SET0MoUR*d zm}82*WTe&e#%%MZs1~=QUboB>?y~ElTpGc8F1E2kKQjBlE~4jsb#+|zZyD=a{J69FGE0Iu7;lZfq)nU(NX*pyCQ;x*I{xD^L{HN37Vy-kMFy1?Ts2>knlurg%M-D zX7)E#eFwbpp8?{3buXJ9a2z7*ym7t>3fQo(l(`=B!ehiZ;+l9-j2NR!4dGNz1*e;H ze_PFEo;y4YeL?*FtKUZFQ{*cBpB+v* z|Gvqfstgc`Ng-DbiY+KMu*M7y$32bfUPqjakUd`Gl5F8tZ=al`-&^?k8Pnt98!Pw3 ze{oObz1I2Md;(_V;Hk>sogk;Y2-#GlHYrw*DA1y5-n*7X|- zBMI(I7%HwC7O3Z5+%Sq#5mWiP-&^kgzvB1B*Pyj`(F4wl@6Q3E!*0U!A{=|{_u*Qt zHSk!j@>n_|Zw8yhlPDkYLybaypVwG_V88zjjJXx@=k%5f<88x=1%OqS+CzeQUviI_ z_l0kH*H`@!ZEcC$lrP3w5Z7@>?nj^0E)-2jJF*bbIh_U+K2me#<4|pF0 za)Hh#A7ai~F5Wxc88B2OOnc>~IttgV&Uo~_@_pb=0*!^-^POV~0ozj30`tE3e^SA> zWKe}^I6Z}ov38d!HABqhJofv-(=y2+t{)$F^t>UMlG{1N$JNP(LDYkdKmlIbf3UjL z;QjQ-<4&3nwW&z05&S>CI-B6OYI41Q8|mR~m=>zv+YkO^7RX7&Ld}_#2hSNXP`jpX z)C{!_qwAt4iG82p=`@oMaC3L+3$9)c^yHeXKW^|;u6SMsxpR=TTo9r5XI~5Ck-4{` zz$uP+oa>Fxi~Hl3W3CjRdr67pM0bv~5$?1X=P~$2STdAueSYP?75-$I_rZsez|<$` zV}Bw65e9!EbK;*m3AcD{!%X@SAlvTaQ>e-Do|QU97aP3K_MMn1y}kbTBeWmR41ESw zuUp^yEr~X8-g+E#3&sb)&(B}WXTRssZVZOS$O`~(@ykPSWTamMJ#_q>&jo+1Azpun zr<*D7=xn_7XV=2LpLV*RnJc_A*6bawLasb&+9xZ z?FSePKR@S!>vfS{muA>kvK~~$B}(VF**6U4q!=Diw3U6fmcyhsz!~}&^P<0lU*cc( z^VtTwMjd=Ro*H+0o?9fZR1cbZP15e&=Vw-^{+={-edOe$xW| zeo|b0+mLhUnWg4Et7efruf04pC)do6(0-NPWh8hP+}rZI1;zadWA)7>-Gg_v*M0J} z80`Z}LjNj{tBbA}8+h)i3a$`?^{qxoKhM}dkbePgTc281;jH>=9m{ zQ%ZA$53(?~6|{p$&1(kkzl? zT`(WMO#lrNgHeIz=^KU<+E9((N4OEktpDniCVb%qYtuDPSr5+(_hb6PKLwuHyFyRh zJFm)+UZ%kMK@=aow)TVX;7`W>KHL|1G1wjdOb2fqIW)hJJSxW8rv3Q4#>DcCefA%= zk^R6{!I6*_{8wMNFE;ZzW8ZEJd`8m@29!5 zNL$IB&O%?(drv49AE77n+IyBgfwE@%dtGpi_y7P;N$!Wpzf5EMNh3TTpqpm49U=eS zci<^Wp1OA!fj;49ebG_#f?I=y>-P6|iPRnTm+Z(C?PKu`CvL;*dB)H@OSf>%ng47` zvl%>r{0m>3%&O+-=NWv#2&y}AM#We7y+nDB`>S)1aA}r?dJ$eHJxY4LG1&dvc$1U- z{^JVFrN_V?_c8IQwQHmLVLtrHk_Y#vi?~qqJ9(bl(?_r*uR;?*zXIxuY`^n+!x$>#3T27P14-dId|f^xNF$& z^B%rSIsCcMNjKg=e-ZYJTSJrez1-77_hM_3G&gm{j5e};yfj|8D<80*%w(KyUCgrp z=e5H*CH#@NviW70um1eYOf)xl%7tWoH_%G>CjPjOaqaKXj}G((Hn9g)peM8LaynA^ z%=4}r(vOIK3(2GI@TS&S_%3aT9*qzGmb3o{^9lR3zX6Ar^Hsh%%G>V`elqh`59aFr ztxYs-V57wtANjs^$Na)nuxC|AOOL|hJ-LKiEy($|4e4oGZAs=R#2UPFoa%eve#mpM z-IpL2)OR$uRUUP)1;KqYW!$tff89bmlHQYWirMIXfzc%!W@euW|?M}pz z>^si-h)xrl7O#88+qmy!qFHQ=BZ0DUHw=1@^q?I~ko|N-gB0~Cz%M4>$DW4j;a9^% zH%ZF?e~k4#|bs(HzdiQI;L>*-erTi4q4~J2ycg)=XMNMKI4N_ z;hMaBg?XO^ygl$?vfr%^IBUGNg`b~mF*mto2&cQn${$#+9CHck_8!f!DDSzh@uLJDf-ZsSNhWSN$b1?6_ zz;=H3^AM8jF8IkaSr@2ot35?_$nTqd9oZjqq43Ej+iC6retux#hAypw{uc@GUombY zm3ZYO`b~I`biju;FwZG5Ugz$jP(6>}=f|yV&9h+W$s8PkpMMEt_!sq|kMSP}{|T?7 zzQE5f_n13jLA^q)r$+8WJeScUewPF9q&;Hbk-!lsf474JTqBCK% zo&8<~gOv;XG*$e4_3Nk81hz*OxTy}%7+g=b1x$iI1}t3<@W#2u?jh!VUjIKTa;5w$ zNDkGBBecPN+y8wOF&AP4daSazmfPp9A^mu^HllZQ!CWK0lWjwZWonNLK?E1d+w(!- zUGVfIo&~r%91ptoCtE1Q!VgiAst2>iaWI);>w_`Up7Y-1bQ{iO)sM z`;0@IIw_v`*H))Sp8Dm+6&lRZYmfUG_kFLZ9YXfN^7cG3QhBs(Oq6f9z=hfhc-4xS z_t6GAHt&CGo^YVmh+DjeekA$kGm-i}d~w~l%6;6=BIz*mMsU95tpqvUGLPbz8}br- ze)Kt4{x3jt2K~_Yiki^P$iHwtX&L&Fr8l~DG@a`Y@^p%i<`khzFkbb84R{w=)0RUn zK=%J@ZyQH}1G>N8k{G|!;Su_g`HP2p>5nzg2=Ks{Uf!8qGPs*9q1~atCJd17Frcvm74R^t6qtxIzDHVF_8kPtD1#cWWNtGqpnpbjeL&C9) zM}H;n&0qLax(rH%MjtMIc^F30m)O9KkU}r~wqly{lE(m%X#buop(f(jojv2ot|pq0p=V0oyE-_Mj2r%|#DMJ&n=BiOF20-9*Da4G zbN}3{p>#16!qjKv_hGAkJKsrpgy57Rc5}5wuY6*e$!xikc=E=+|>lcF`W)Jf_DtHiM z{^P(O6Q5Ir8L{2(SKPa0&T9wmGv{Rd3ynsQNowN0IhA#FclgH`SB?F?^bqBi-N&xD z5Zl%NnPx>iZqMzVFI>D+r4ICx1HJ#nQ3z^c1~?-BA}`wO2KWB`1AR=mGiJl6A@G|C z_*Q!kWC3v#_WK28`6c#KL`7L z-UqJtM!#0^u?4$sc@ox$6{f)t!>+IZ=yknWAVwaU^@X*eam3d%Gw@-A?}N`*{F@u^ z8lv~_vmuTh{xc4|1=Ij8=;p1txo*LPm`~4FyPTxA^8PRz;@-4{k?8wId@Arco)Y{{p%@;!_y$XB-J3#fw!?W|4_bKp-FuK$9v`Q>B0^eYl{S>fp<7aE-B z{cU?5ec*nSeDISQ+_n|-J{v;{&|k>|lxZIl{@yh!>d5=HjC}3SY}iHbH#N)p_|`;G zJqdK)Fur3DEc|1FH~nE4ZD3;^@|A68E_)yM6a3!bIiDC9C>*xnnaJ<+=W+plC;amt z;r_dkgT;rUiLW^U_k1V@IhIcMB2xFK4B@u@$L74;lyj< zlb7I6=A6g(=o@3-vaAx~#?&ek59a&3eI9|S(X7yAYa{dHb!QfO4=V(7v!-7j7o zEc^5d&r^xze~Y(i(l4^o9;=4WAKac%OGx9?t3?oHnLs=zhw!y zA73rvgu@cMGn$f`!H7H!J;Z2B8Q$%lAvsCR`@t{*jopZOpMjH;y_Lt67EFv4?{^D+ z81B#d#YXxaPprcCnIE)P&cdrNU6LtzCzJoB=w1!_m~iCYW)iP8wzNjR5`q+MbM|nod|u_NY+ug{$Pza3;=_~vw+_DGsVQ6nj|yRJPM#gUrV-t0|C)9z@7dtg=6bGx0-r8K@D zVBTj;R|D){@V9ih?-42-?yi_iWRGC0{Rr>Ue8exZwGZ+DY!s}5=LPqx>4!1raQ=R1 zk+Cw#%c18MOJe(Z`xE1&KkQ{i58^mq*im1dUopQ3C%PBE)N(|t95=Ijn;l|n7RQ*Q1$5QKaE&pwXzE;%v;e@_mES-)3 z!I>Q5wW2-pV)Yp;)7^_C_W8Wjh-5H89{BtWj^1ldm+Vlq(=J>0IGgQh4&0SdheMR7 z@@;_bX?`v=7~^&1ZWy5jzD~EVgEjZ?ELHiA@FxrJ?lf{SeWx66kLN{nQ26=z^B6e- z{xQyH6eEX$`st3CU${o>VC^_!JN#R-Xq`XNVx$Wt!_SX9b3e$Zgd+sr~{WX^!-*nh5qH*qTzQ8u4OOn zl}UUZc>G(0<|3e%$Xp$RdllsWTOsc9e(n$uOIQxvzc~Z%YZ&7PW8P<*Z#(m3TFuz7 zdqarng1$zQeoqWDYBBA+)4Hi;J#rP%FD5VC0?mm>=-&Nk(-7(R{_*KZ<=Tgu5YmdV z6{ooxTwp=h6AD>W&{0nOKO09zEBKnKh#lb(uw%1*5 zdg#d&AuBY5pC6~_ld1XkgzoyD_ zx^_sqp2x**+Q-s6UU?cTJ*f|Pj#050+B;VYo-^-DOI;}&n5JIc;z)XtzJd?*HmT^w zmt0~w=NIdHhVXn^+35TXe|a|!8Ws&zU(I{;BQuv~tP_1I*#ifQweW-YG)KOk0a?eo zQA-%VK00U6dH}3eK20Y50gDZp`-f(#ujoL8@@USXFN%9*CnS;o&i+-(jd7#VefH2HM@__jpE<;s_a!$A&I5lw>F(&`6L6;)A;n!jbxXYF+;EQ(?z7cp zL->8TSBfrz->>B2`ukEHo?m;JC`VzXi|)zWTG11(yG4HAF(1X9!ySm%vF*SI5&!6d zDEdYUpRO8vh5;=6GLlxb!i%%jFzKxs)&Tx7;In7gq8FTtyDJ82FH~fX&T$FIYe4RI zIhCs%7q4itWgQ0oWaHu0KhvkfZ^;0kdZQ)({Ruv1;mq3>X>RxrOELwe!lH2&t>B<} ze-G;SC9vr44t_H4{nEo$^Eg2k#5n%*;2?^QKHN?*|KCRwulIW#h#|OiplDt-#Ghgg zJ`5YAI**_X=Hx8~_mFdF&5*;#e!v!acjKUmvn@`*YGFvdwL`ImZE3v zHHhn%yR--=u2<_l-;_K!7lAGP?C7dnq z?WG2&)|*yb2B(_?{qS3kW1Z3i-F0dJ6s= zu18oq*iE<|xh>Mj41S>g3)3l;`S_OZ#8ktm5y&m@z<90fd|8m8y|lHEyJtY5O<#ii z;d~|l`WWo3Gg?N|M7Ur^V@~B7`$yYL4CY1#4YU!ye=qn^?(jXlgEw(~T!B+CNsaPa zC*fdqYimO&7yPH#8~PRRoxXGv4$FYY>BM!jwjYzJ0@mP1Zxk7F4bRCWT%P)5nn%iG z^n*G4$(ZwQz_-D9uT#h)3mR=H zC_uTAh&`|PuLJ2KYMI-?&o8`+L!ks)&%nj6pnEZ&_BZsq@r&Y$53K_Q=E#{m>a+rc z1N4iDZ>|ygF?cT8bKBq;y?u$LoU5bZO zBZ=7NRTX+NRQH%S?aFwX7h|-?`Q#PD7vt!tir}kp&>DGU)*DY^zc0D#9$}h8Kk2AC z%5TBqM>e%eq!bLyE7RalX5)=_xc2HjG>FfQ*YGFHF$`Xx^w7KozX|@5`UIu&=}WafYV7>r*&Ow!)+zui^GSrL!IUN4ymYi#cpFfYe zJ;ObSYsRwhoXI_Mv6Do9%NODAl(BRw?qi&v`xvX|bgyW7Qjd$aZW@;nFWul4MG>e+ z+2lV=`n8V-z)uZ5J#1Ybb?61BoDcfNa9~8Q&yoE~8_OMc-%Fu5|H#6D5(CBIBWKQim*qr+AId1nx|7>PZ5qfeZD zs0&PW&v6cY7QBBl%^}7QG&yv^;5Gh1lkvn;=7hdM`g>gFrTLtVrH1g@PC8K*aCP=4 z%qeFn-lQ(s%EgPa*B+m=5Lz$rB41ie*qM#Xmx zv43LTU+`a==d2Rsl_~>Bz1N$#2GL?mu;#E$ob|lMyw8vI+XeZmJ1jyU6#HlK_cE7u za$Jh~cbXR)8!CR;{_XNiTFeDkKG<6@7N<)Nam`t8+_Sj9KJo_cW6V!F6)T+Dl7{)j z*p|J|@(HzkCEo{?@hyWql*bQ0zpPD`nu#B*G0qo0CTyJG-+Ihn>_THZ2Ha~$@+fgD zz*;jyD4O|+JAL)OKF@?0OSSk0`o(}Lc^Pb_euekQGjp!KkAwQQ;kT3hTWl0{6tL7a z;|SZik40+EZNE2#;Nj z0<;+dP3S`bcuJB_#q-jEfhqgZC(gOI$r&WEQ|w=ai(I}h!Cbp5%^{AsMsqd%$&$}| znoAsS-IiTqa4XdN7#o~mSLZ&#ocuF`R^PyH$v&of!G!eYx%tTN%lq+*HE}OpL2c|S z7>~KW8{NY-*tRNiHwvo-*q&*<; zTMCyYGM2KjcW4M+AGd^U{S|ou#B`1{O{Q*al=xQjV!uYfKPEX!GwEHk-5IaFtd-7o{*gfNnc}QKf+W#AY+uR_5%EZ{66d~i~}=eHGw!;y*ni}>8r?TOp>N=rhNV=_E|%3-dX(y-9zc>k~FcMpeY zpYeBY;wKKOfF29n(>8{sD`%<_dWL|Lm^THBLecuII}`wYBcEUyLN|ItXzW4!Q|+-6~Y>`PF@ zQx*Q?ek{z}1oR9Kk*5@g=x$9`k#hSVj zo-4__yuD$_b9B;D?|I*636HUshX(-{ur$sOeVo9Tf0<&dIqq2IAtjE4k6n(+f1Vz! zy;$f=lD~IMis}I)!<8F$!650cf#32u*2k`kOz92#)b^ks8TE$$AWtlPC2{Jv>{oTX z_>Ve`02hMiv7KJR18Umsjj{S2z|c*dHOJ*rQFY(x$Rl$gV2{1-$E`xi2EGx`d3avL zFn-yP9xCM3q>sYijTqnMjd`E#OS?9vt3KDvomkJl6kf(3`{XJ9x6ykt2ow>MlJ-F) z*WfOFrH9xnK2G~r`a>@nxcv2^s(Gq6W?f07JvV|Y!AFO3=smAV z0S3DAZ{q1Rz7BWc<6*h~(V{}pVPEk4g8SdmH6g^k?-gJAQodZAP1IM_tdH_Z&RZ$B zpa=Syxc70ggX+GUk>AFc*WeiP``m{Ve_i(jUn13K({&gX!rpKm`G*_e4EMyo@(Sad zy#mE|({6bVxpMKxr%>T+-nGcnUS#ljwgSU62lI>U_aEmG%Qw6IN9%bApOVhUMaGY8 zaDHt`QD^NdoeR%WzYXSn`F+mwBY*HCew%8m{ftK}=pg%Qj^p1yjJIa52kATJ!p}r z{3z_B#fO;|PPK5o|G|Wa>k}OO!j*4~{XVFF_|2pLg%7w7*}?6^wIpaUVI4^~w~dHhS+o8cNc~ z(K&!JrBJTWXt5d%2Mgf0WdHgr_>gfdlmj1zZ4|fXr)%Gf9sDp1Kp!1XPF$Q(-iw5T z{6F+ruz?T$oE_{dXw+BsjmHOK|Hg%>bE1Wdw5lWab1d^Y-8F<;{}6qAEL@$2FP%9Q zKf-^@O5NOG-8WQqmiuJ$RW_n)PWD5-ieKE%kXHbAbUu!wyM{uW`Z2d&;hx8__mGl&;g!9MN+x3% zl+IKS;$^*QQ4()E#+B2_{`JHbKz8k9kCVmX|{aG3_xQ>-*84 z-VhA;nP@Jwe;>*d<9aO$LCu9#F!+OrUWo5n;#?N)dQc#BfMMtJsvOOyA%DfSz5btbsR0|McA+1Ed&?gB zh%fa3bOO0VhU}>}S`u1i-Jev*Qoc6MS?MLQ_M^2A`?dYr6Mh)J zP=XJ`{;3U#IJY_IRANUQJJ@M6R{f|u!0qFGeAH!w?|X%9u#aO9`8prX9|p$Le&&AP z4OJgB`d^&6h%h>s#vEPo=xK2RIis)UIHhQwWnj4W7Q#O!{E3fc{$yuUg3CSV5IE-{ zY)JbVeH5tSNw{#{;Cu0^yE&>iw+^CThC(1}>!s&{cd3C}NbA3_-

=g1PwQe=y4? zk)saS)3VRF5YG#xMQqdx_ou&s9ZEW0UShyeHechJ17-mU9wY#u3-DyJBA^W8=D9y26~H zuo6T3r;}_X?-ZT}-y!oto(?6J4g7E)yV`u+_6p$jF{aiMd>HXJzRsiiT-etV^F9k9 zO)`}~b3K_Hr1<={!DIZOE*Yu=4T;b^O>Q<#257Jr_Laf|PKMu-^M)hAM__Qs7UYq! z=JiCrhU*9KBQGZVxNkh@*o)}@{^yfK+^b~mW2SR$JUIH;v$a7Ui)#$tZn$KyzcFwY z&M96@dV~!q#5Rm6{Y+HHKH#EzX!Ij8K~`6vxYbbFL?CxIOz$Pk{?N# z&>i+fTsN$N_e^${}^gj1MmG1t$Ch5eUx7jn@5fL1rL8RkLSb3<%&P={?QwT_>KOuq=o!HpU27h ze++Y+a1zS<>0TkqR&%&f7G%i_RXi_}Greo4Ir%ThSF%B3Ta5G~c$O3zFE9rrqTgf* zaQhQ~^%2hEN$_D&`&T&TUa0gSPMYONVyKQsexG$9%=?g?t{ek@jIV)<27q4#98t`4 zL-|K$xQ{WXHqBIXXAQ^FG4w5enwG6PW6ui)Qup4Ko`HAC#iY3ZM6mIri{i*h=Ul+UyzHBUK?rV0K z`q{yUk$ZbdD*Xlwn{~5vYR7eopWT#O*)5*tapCk{PvV*ni|HBKd;Cohah+9!8T4e< zg*(UTe(`Y>E!;JKrrW$+I=z95=I$E&v9{`FL)@dWEIN;JQ78KSouTx&2b^ox!4%3t z%)QXXIqy>5hS)~C4ELr?Ufg$dqUqe{Q6ZE1o;kSWZ9y_^0si>k$3?~rHoCZHXpd(1 z2-Rydk>79GzwlIK5F<$Gm?6Inp5C5R$s#4R<<&hTDI^n>f1Yk>-4GW@H)PbRCEb}=xyJc{%P2XLXn)mq@eoMXxw1OXo^S_P!Nc_t=w%WTDU_pE>sSAFN=w=Pk z|8gDR!g}c8Z+$T&Tpz@=p#b-l6Ra`E8%Ayha-!M{1`dn`Yg z*xu>)9{L#jQ3j=u;N^V6#Se6MzoGu<#^Dsq2KW=0Ur?vyIApBk$Q`%gd4bL3@TLm} zQ`|P2ji;FX4<^-c3!*Rlev0-YtnJoqpI9nffqRXe={Wlbsw0mK?7nFz@*f=Z`e08S zbIbV$`W@>~r~Rp}1k4HzxmN56lir}D-EK0!bu&xTUc0Pxs>Ai{@LP({XLvlBagg?< z?klfv%}_sgt001FJR_`iU&-VC5Bo~Vm%ojoCXmV8mi)hY|9du~_}LJ*403O&aB*IE{MwmPJUR{0(?nhJ5SndSfnK^%5Jai8~ zGfDVm8z!3(T-2j}hOd@wwFAKOt^mJj)z1Y+FAQk^gP!~|7nRQl(f;nSz9f6PfzXrD z$8xz*AMG2MY9;=MT#J0=l4dzb@4;2@ALTw_9z}`FUmAPekREvGW9MOOU*R!K{=0)U zktfDAZP-Zc`CkJ3)E{|d_@?V)Un%(#ysyu)Z{=eyy)*3>UA!@xgd6m)kLpJM;6BHo zH)qWI>%X<1z9+Zr{(sA0f7;zE;3sq5eE|5$43Hn@p}h%Fe!4gK)mHTVZP3R+JCARI zxsc`Fl|lA|HtX!S)y5K3?!)CPL*L~b@3BII_eUKTVt!%&2kwQ~9;{k8J)T6C0}oc> z_BR~~bjNSL#lG^Vd<0JGCMq{Ax~xwe^9$>lOJ5qA_wJAUJmLKeK5W-hx$K z+fW_YXDVGq-!zW-L(KxHqJVk|4cYG&htVz`tX8-Y=U`{IOry5z5&S)xuDn_YcR6=E zC&iNk9>0Zku_t98`i%_P`_;xih58UhldB?h)P z|1;l-y$UW+MR>ng=L^d{KN1tP+e9vpRk9F_A^L`!dlO}SI`m*qJzkh;#3?J9~ z;pbfR1@99x%MHrNZWqBV?~UY%kP&@cslKJk2w%?zid0AhYFa#abu#C zM}zwjUzdiIiy{mDKz)bNJ5W8UbOk5$uYiqn0Gpn{W2CBH*rp}-y-U!A^!E-W%}5NEak|J z@z7jyF8Im(o||T?ddvX}<#~a-BR#GU?SvB=cp-+?P8ywP{vn12$P2X4=*@yJ^qnrRJ#`l)}57&)S zBY<YBO=d&-qb%v6tn#lt9bjW!Ua0mbMfp=j8GH*2xZvi!8Xu;d__Kp0 zU$OFhs`7Xrr_p47Fdn#Ro(gj*_b&hSJNl6sADoZ;3pm~G;5&(L{h2Gh2{$|r+r-gX zKHsyVsSgK6kPGC!bc+smjZ`k4zhOhuFz^7tqkh*!Z(`fTsUL&2R~Q^i;lw55-o`$G zs?d|z&)e8Z_eZxfh;gZl%cThKvZim50UO_>6=N{JaPV_P1bxqa+ViuO_X1rw{ciON zOJ=!i9&dE4_&`3Mg^vYt+J>3=B)xs$TfPVO`Zo&?;Vt#^Oj1sCJ2Um~yT^+k+62B{ z7XgDcPnotd5K@Jzm@(V>|Z3uQy8cD z#nF+%v%B;2HA8szKSa_i$hNcd;kSex=q>bLzQ4`enM*&tAABmkBJ#*E1~%{kKbiH3 zlu+dh;om15(zemmnG3;w_7R=1*aP~?1Q>g-gLjV}8N)AEdFGXG8PX>aX-TgN0iq}v zrySUiLud!@3&0=yWCAC>hpqZ&zPAwF>V9AnNnPw5J7W9Q@3UjHFJpg6rXGL)9{T5g&nF%J8fH}dHG;zQqS2OM~g4(PAs??3kWjF*{` zVUR2AU7KEq>3eCispgkIhy;&yr1rTaLfVZEBP8>ms@JE zzoYg8C)$U-oyk_@kx{SR@ETxlK8`jg zK-Xig`I*5~k9nS_Qnlaazcl4`-E))tUPt?Q0tIf*AUrSZ=lGO{^MyHv?*i#{9Do~&u>n&^HP3(8eqmiihsI+M)N$>7c=xn@~ z*a&|z_9FA(Pi7xYv%_V1`9QzU(4{`9S^P!~Ad!3(R^E)Qx1@9hMzUocm@|6cxJ(>Ps7%HHo>%ec+4cJxuHV@WTM_`QM>9_0LB}QpoICXllJ`uzc#(A(BjaAqu|` z&k-li=F&09M|bf&aE>6>JWz7aM+WEUeGPs~?$f!y3-?6^RNF=C?{}ULAqH^v{fIox zpWY0oroeNp3&mm8>hLZN*>gU`%S@5ZdK5u{){wR3?zAG_wP5sxKJwW4*~CK0fxsZz(?H-d=JK54==r++G9lab0K47ril;JZVm&Y~@;h zvL~(~X*MC0sxc^gqd)yF2MhLX+*g+tMqG2*y#jnM3=Y1RDtznR{nDv6FS5Y5T+G1~ z@Wy2yRNzUBgBd$NgU~WJWJj$a!kBjRboIW(y-k)bal{y>4|AiW*P|1jmqubtE;g9Y zGT^ke=cxLSjR^H2dt__xLa!vwOTM^eMuiOtlIdcMn9W+Oe^F`*S4UziXSl=)hyRvC8 zdeM1L`#*2tAzNbaYl$2B1I#gZ5p%S+4bQ(gjUj-%Zg%%>+43B#!xYE_q7{eG5*84w8{*eFRm45bot9i za!^;&<4N{C@bfRY3D7nCmdt+}h&(dqt)0P7egpq-lYkWB7{fvTaOE6gUny%thj1!l z-_2}O3S|(d8}cs@UZ$Hzc3i zf9A>yjf6j$|J@zXUpb`u`G?a&rH^IzV}I!(`t!fbhCkcl)`Y1ZmEcBLSGjvOOcSo= zzq8U+r^LRJuWwPI@cqmOND%uMw#BR}!1KcVF!&AP*%#fiul7+y#}Q)bsZFm%N#6Dl z^f9Q*_=S}i-FPw89=aFrU4G8f{AVq1>gWiPfD`unyx+2P*8E9J8}X?&g-=j;+_msWVQg>>F0OFxj_DP*cB7QAqjj&fv%@gqXTjB(0hJAtLS^2qJf0Fpcrj-oWdn2GYh$KUZ`n zD_?9-63z8KUM-ujB>1y4^s#eUD6+))BEHrU{`4Moh2Oj>Fg6ZFfYu59nVBdIso|!6 z%g3oSkB#w|U)G@h@z@vi@o`=O=Su%*JgM6C4X4Al#3u@wE{JV5tKtdHYo6d-;#BkRmfj*j=K*0&j0X2dn)#XXaSz!jofrr#O}oH;lfXi z>zqrVoIwz~Y2=8})>8d4ugB@W>%|Zn#~(zYugBsT-TGAX{Y>! zMKQ$JpSPlxxBKF~XZ;B&74BKM9^n!v>^@Q=m7Cf3;}Sk4Fg z{RzTPv+kNA`o+6W;kwUE2JeF7`IujXOVb+uWG=>76GQpHrDpjc?F4pbi>I&rUI6ccd%_m} znn9v>f$t=}qc>f}Phim^PW^iDqjL|KMQz;oxsRtCdcRqBin69;u1yNX`NBOCbB2;N z8&A<^!8zp@$iIlLx5irX2Q4ZdN`4>*LJR1o8(ZV(=@1ksSC6D{&Ov!!H?o{C>HQv| z{HV*`(%0n}_st=x2TKZ-_wT=_(O=0I3hax=GOrbR;6dzkJm{+~X^cHhw*(3b=d)|%GnuVmj3dOW!vV=?$Ja_<^pOLKX# z@U#-~`mrVY3Ple)U`Jd(yyH>~HRJ(5I7WHMEenl>FiI`9ilZ3r4QcD6{y^jo(K2Xq zbQkzfd_URXNRv2F?-5LQxTkhYg7#b*DJ0{FeK_&!^liGKy*l7c2tVMn37Il38GZuc zN_b@}-@@ji!C&JXlQKX5{Xpu>xgYqrWFK3n)DZssVJF$|1%9eP?i~A{l_h%p&v)(h zey}x^s&H?^azCmf#=gsjfRhZl^0i8C4Rh}DtwDJEiu2GUA8>i1U+`lm1-GJ zv-W`8y2Dd^)iqaV=-v)ISbpzLL>`%YN6xj6BWxR+hJ$ay`fJ$N@$!D$aECr9(82>6WC=&EWE6hI2i-9QFq2)i{}vtG!!&E*nn~e=pcj z)+hON6tRn;AZa8G70%EXL;A0vk8ysf<_lm*;S_!Pjq+t6niZ3I7{^0{1k2wIrUW8{$;5Nr`BoSsd+a>$a$J?LYilU~f# z-c5&S0(E@$Ur9c)NBbobJ#U;(n-MO3=(#vwWS@8NrXlyJ>XsyHxuh&={jBQV_K$`r z_oT9)_RjukTju|*MBW^`nvq1@A{2GgPW@jCVu-QVP0*7pdG6l|jB~i(U&Q&6RUea2 zC-^PFIob+t%8c9BOT$lxYX0?zBVFabV(`a=>$x{U=87TxQbj(>jgOJBA2-l%TjATrxN2x%lA&#_h>bD z;W4^`^KqXqtd~8tSM1LW5czTPX5e-iz?Dsoc5er*m<(%fHidChkZ!TyDTO_OppCs((?*ap98Q{?ei z^FPosg!tHOb8w{QAGUol#8=d%kKT{tYs&p|+i=|9Kux<~==|oR{T7|&mV|@?>AR-X%6a% zhI*Irle2u3o0$#{6w>Q{OTr}&yYKs4l6(gC``EV4@6p*(IOENK%hLDcze9At-NsM* zC5PD&WT;M^URM%6Ld~C&^c*>6M~ubUFg`|oJ`-Zfc#u~N-beq~E{?i$Fs!=|MOL#s zH6#pvxk~^Y<9QMN_K+iSOs@;}Z=wSnNKijB_WLZ4-D(pq+~|=j4MMwm)$3Me`^$c& z6dr`;3i!tynDZEvU8WabG(gGg{~~<6_|S7l1?k=b&x_bIT}utF#X6DRoqm#wySesI z-p6}_dq{TJ>-`Y^v7U(i+&=F|3#352(BK-kT^3>5Q{2o==H0M=Q-u#Z<4KxwOJ89B zf*KQR?4hM+>2FVByY{%04CPnie35+UAy?vKuh-{Tn#Jdcb(HvIf3B6Q_v>3FhVUP1 zS&L7)=3TsJIUhP>C=J^@s;Ol|?Dx5!XNj}=1IAg?J=n0TAV(|jmz~{c7juq=X3#ta zH)JF$7tFQDaJ+tFL4zCV%G<>A!vFh{KKT7%t^6Z6`_gBc{}oAbNF)qaL!l#=f@Dq zKl|c&;n)3xDqju3%T#jJ&v|}L&8KI9zs~(3A3Kxu?QX&S)gL#$dl8x+E_dCS-vW*k za0i8NI2-$yuO|n1!WSkzdVl0<&ggA`+z&(Tb98SMfqpT7+25_nrQJ=CO!^M_eFhjf zq5lPozMZx52y4%QwMHVZ2%M?Q>G3+BUbtzvFj%&drSw4F3(nGg$(A9?A$smhjHmdv zioNzrY_3GXyg=xfq`c)`b`-{j!J09|SiXJ(V(1$&PU82&`-*L`();q48G1DU(%jGl zz4UA=PRG0zbbZAse@Erfw+bfd-_C?oX9b- zo_!?CUi%xDhH8IsPe19Ks#meV5FdYPsLsh722<0$HUD>Obt?T0idi;#lKFb+w#JR@ zftwi)-BaFMqdXT`S+d>G;Jt#hTL?0b6(J~8jPXGbbuY5e%I`(Ls8yf)M# z=|5ju=I6H>s+_>9L4@1T!`vp_X)hZYnp;yOYFpmm-pxL+f%hF%FM;ns{Ai7nX|w=t zZW;XJ&jIh5IeV{c$4Cyb%Hk|SJ!RmlzY_Ic*aSJAV0_Z(i|aM=%<9x;dDNywmxjYC z=M!Hy?PeuOf69QBm|u8cyqQSyJsMM9{1KC(`@Mnfy^~F@?x#ClG}0KfG&Em%L9rp! zuM-x8lSU}t)#-}?8EWMBGhBs3akxrN@vrYL&J|zu-3^_IIZ!QD$7!yzVMH0%Omn^ zKH~T3@m`-d7pHJq%)R!j$Ls#w?xum3s1-k-ude!2XcjeleY|0no#1>jFy)D_`oYjs z39P8ww8Bc-OVlojKD9?MdX^oroowa&7()G8@ax_&`hKu3G^F=oQ7o+hzphPlAL;>s z^QS8D%CSfUpBS;nU#B<{Fdk%STo+r49-PBhP-BWsuz=M?@S-j^N8|e5dP<8zSuEaQkYG%-rVJ~(b8A+g+ zxHRw?uRPyAcZ@E0J=`2$i-td_J@fP8Jl&(357j*Hu^?hOcz{iJ^+&X`)_G)lQClx>a~^aO#6QT38Z;*aHu479V`{85~yJdl24#4l40_i($D)m`6v zTgJ+qxuQd!?z!KAQ-c_3y|qcgGq>F_MEal?yh@axXS!#3!f#>wkn}jo)AneTtLKK;4fi5jq_$aFU&pv;kv;*v8OMp z6Vh?!R@lD?-|*BB!C$-iz+L60cE8IwJqV z!KBM9BM%MPuXMCzcCy0+usOC?oXu1T-=aH zxNEP?jj_UAy^lG9<7#`W=M&t)V-B1Hr;P8XkB6uq0Qa~!4*Um}m$~=oUvcvO_v@9b zI;GzwgK;vO9)ahH)J*N3Wd>~}{^_51yR{0iEG%{n^J zsVyjY`38F(Hd>sBpr*^)pn3kPu`CK808{8=L0Gh`^%ibX&}!@#p|1~wo;;Po#hCZm zCNQgdj^x)j;6BFlL5=lgxt6}sv;?-cR^dM4U&{`MzQIKa)5GZ$j)4yM#uGnI*Wzy& z38;67YiCJ^FHb?Pr~wFW;C1m@r6Y2| z(i^7A1uWBqbFq5=o8m(?m#vxK23%qBVf-&txuAE^$A{jap(BE+J3fZW z7ZPYgCXCs8(PU;5u6q#|Q{`qZju8&aGvx2(dprER0aIM#er?99 zkGf@$?!~Hl5xZn-`o1yjfmw=u;7n7w$f4L=?t!1bW)b6*JN9iucsUPQ);LV}g!cZF zE#T)x{2i)XzCCWl_HxT7sdA6X#=I}RAmGDD9?Ty3LKZ~c;~t2|ZwvCj!Y}F; zMEtl}n)a34hsCfs<>(eg3O8`Y*70TY%N;{G1_AV|D5b~ zN)u^dT@V~6yQ^QgZY*(+@R}*$)4=xhq+7o7xIQFNEY?{4>SJGt#eOsYB-J}-lvm#E zgE(4a-@D!)QJ5bXkTRvf5Z&i-p7cyTY#*Y13zJ7G-y`^|A-%V=`>6g~+e&)JQ{jhc z&qaTJ4$47k8c+3L@9y6&QgaQzTr*Ci*dg5=ZtaA&W^(SKF@ux zHRpA)xV;k2rSf3CV5~z>bMdzv-524$(1-m+zk3pEPk-{pJehMXUQU`5X=+7w$e&ja z&7uyzFa(;nq?4|Ab0F^>%wx^GArvWK^vlNk2SG~;ehE`9VKrC%+;1MGbBb|knnS(i zs=1$!@iZT6ntn??H3xwA3&*!lK0|)2%U@2>`&`sF0RCJH+zYPSjga&2y4NPmaqI~g9m#$G84pE!dBURx-aJP{m9>?P}BuH+-Ypi9QQNeDjT zTq*p_!yzQsskMH(Pl^6!aNIG^(pl%sy{pQ-%iJ1Wzgug(k7Q`60Zw0X=SnjE@%B6pIO*~&^9>%Hf z^)FxA13t}&S_$e~$_yjcT<2_YB(zB9Rp}6{-n_+$G?$Bv-%^D4b{Kqdwv=|t0pD^l zzy|l>Rp#J88*{>^?teqt#ZnqDG@~13tIweA1p`(;kE}{2f{m%_g6Dyn&)?=rl3(oh z#t>flA}75E#9Gm4zBkX#BH^$#Y^hwU!(r;dx;%t>p^qCs@v_1Dulh5q-l=yu`4ZKYrQnq41TS@w|1$x)>C^u@bPg!aVGr8yx#WO@1i+p>v-io z!c)wig;zsO#8}ZEciuDD=dhub4Kc6R9QnTv*ejXU^d|PJ9Ge)VUci4lOU~e01meeG>Z28E%n{sZ>$oL@Xr>z={+Mt|3I-9Oxnq+u6pY-ot{7@!^@ zv8$4Z=UCCcZuDgwit5L~FTv;dP!D)qfam!WeH7*so;Z?BBYEA8?+bHcr&dX(k|Id8 zr16NUZypyfyrO!2vA4jyYNkhl@hK?(MN_>01n_tFg}$ zpZJ)nWRHE(2h14~pappKql4s84xNh^{^Y0mQN{eM8wRkkEw>a#(is9ksf!PBuPJs; zE{#IZ`<^#^ulzwhGmIGfQ{ip4_B7g{zt4s8Wx15TwrA|v_apT0)7+P~f;L&bA@Z$U zc=L;(Q%LC=2f(vqe^80L>izv(kyvvVT{eqAIJ$Lmk%?lv@I&Xbyr#uhWGMXnF ziFq>nZA!OL4-@8M;;X_u`LKvdt{SsYlV4FPp8lMQqTUP49k_>$bBg?&CV^)&6&v+G z9f@@U9lIbuhWYW(m5K7bEmty?-g6G6Lxj$We>Di=3V&&J{_YC2$#o34#H4f)# z;jBA&>+|ZjAQJp^StrexB-u*;)_e|lj=cX}-ib;95Mrtio)X6HfA&hz{ula{j8Qj@ zP1ig}ttevL=1AP%9$WYCQg3?_@tC>;e6J{BpNYFXQs=?_^2o${YP?^BuXie$dSY(& z*9&*?Jb!PJtX`}iEyXvvaaBC+0nWS-pI7lMBTpo`eB>u1c%J$yg#72f=>N5*zj~TJ zelr+H_+OwinK%fss;Y2GHjV%n30SFtjT|&j{6{>k0T*=OkKn&bQ0}@>h;^P(CyGY# z;xE{TnA6(tc&_-|AOA0xTzOt#5h&k-LG|J3WZzvp{FM+PxZ^)3^Blhz<@XMQF9`?8 zZRoS2bHj^a z3;{B*u-&0#%Had=s20TWYh!JU__9LbedXBh`l73b-2Z&zsSGa&$xl3zH-i#r0Q(?M z;QhkE$b*iA;mGxRX~E)GUvwl<^IrC;#C^Qi=eV$R?!O5cs)Z@aMfT_LactOu1keL=74Ih5n1|-!0x6;(NR7q#U%DR^&AJ`=d<* zv#A@nxt~VB_Zo#oCGyj}&ls>~DEZ5aw7?ME5cWov&{3zuU+Kv_T3h%lQBQB>f_w@5 zleg>Q+z$-iht>(&PshDU=F6WlNcc!bkovVs_LjV>y>~outbO~nXo{PEDeUD@6R}tN z@3i{{=a;8nv7yJPyM4s>KzeVpy@`)oD_;buH>9x>wL-mn`4L&2v~$2_*kkjHi94DC^kj?#Gn^4Y={`<_JIpfL+YA6fQgt>Y+yy;`H; zZAA>?wF`P<5HYlPo=hkI25`b2-g)LjhbL=aF2qu~rO)G)Yir6Sdl8ft7@W2qdM}R# z{Qa!-st%Zsv1nq2KV8`B3j)V?gY{Ha`S4kAp}!1#770lHU{5Rlr+f!0&*Idl_#QH@ zYeF;yLLbv9{f2Rn#n<2vNT1_>K9XyQ`!`qjPw#UnY9uCq&ETm*kJjXrL+=>3wIA~_ z#AW+iV;{==@_8}xJ)4N$d~M(-*5m#npVNW}Id6CW;s59Pr9Xu9GhY|x_0J;qKyB&_ zjsY){TMeN~NQZZ`YOeR9dGJ}_>kwR&to#c2xKRI1_}CfyO6Y0(-Hk2wM_)6f$AbPo z?|<7)^P>q26pBeukK)5Hd9Js44Sq6XcfmXPh+0pZe-i1?u7JbuvEPTyxx}PQ%qO7b z2`@>?oi`%X2miCV?tAXXQUd%9w`XLFw>zZNMFanq`}13v=s)&6;qxiJE@!XeJo_7i z@rut+IO(3pwlvu?paOm5h^+wLt!PQ57%Z_kOy|&#hSKjMIJ#nBJMhyU%7Bf?k8w}`lDD2q>jx_zw;MP&oCEo4 ztNar1`MH;P_*`c_FM4LEr($u6%;Q3+$iQ^+jz#qh<+$98q91Xfs@6Z7da^IOc`~(S zPt$TY$psztj8iW8TKMh8ly*Ek0`C{}k`IAD<^~Lgowo-CBWOeD4~mCypQYx5>L$os z{lqHtPb4^U#Ss57zR&FQd^Rjpc~+nNsVWC!Y|Myppj)RoiwE~n%WBehuXqle7IQn0P!2+{UXn!5MQ02yW~+ezYlV-e*rJcX`hMk^+5ILwvq830pF7q z37^_t%L+27B=~Eox7~%OZSh-xa)Nf*X`if58QHrJot8|TMvbi9LOm#pV~A^PZIa;S zlRn~AgY}Z#9>?i@G}uq_hh5MoJ;OY(1@NgNUp;@Gqw>u92dh`&H~7SP-iv)D==r>kbN!sFESTLKTCKtXFav| z(Eg1fnC0P4W$%Q7!-`aVyY2jX zzVezN!vC{IiL>xmg75kZ_WLt%4Dj4soXb4biE2S-QM5H(?p67%QfN17Zn0wv4ek|r z3{NN4hW?cor8&GESyV3N(DoyHl9bmsz)kl`MI(jxGqGEq_y{_nzxnSGw}I_(-*@2v z(H(bca_qN@-7Dh$f@^1VS4(0H=czgI`kW8Tr7xX1sd3q057cY)EBiAT`yL)b&e()n z`YQ+5`n&Fte{@!!@R+KaYagGdK3gjX<+r?u(|*+N(Q>~TRqDDSz7lJ22p&HTjT`Di zRUyJ$a41(jm}$sU^1ku@F!c>L$kE=LcbL52UOd1&ne%pz;D5tAFcZ1pc331Xb;kMg z5x}Ui5#-NavMVOxU3Z&tyO@t!QTO&AGKqC9*8jSb^hC}CsE_DhJKE2D-8a_CH#wb5 zi!ruL#r{R=+2EV7mbpIWV~qRR7kJeWj%e3-%HzBYzAwyIDLW*AOq_p0o^c)fkg^^1 zbM7BZ3#LW)bY7Y$&#@A^h5suC=PP=hE1s*ga20>=@8!}6<00=Z_tSL$@egukz`A@y z9%h`|itviKzeIL+`l0sQ3}S5CtA;_sk16%Qg&3zA2!68EyMBwN3BdYPnr0$id;gSI zWK_6m8`fdG4NYZzdIB3Pn+Sd{@z{RjIS7f?(bUMe_2~q`jvd;>6ettcBw@lSNcVLA2boLm86wkF6 z=vN}8IQE;hx$=>g#nN#GMoiA8?L02sao&)=XB`tkuU=n;JgZz~K9K9$TuZgNPMibWn_w@`S#<}({)0=?Ta%&7;pS(`a zMAKq$F=tISDTghz$mqag!2>pW9!8Gp?Gliyqr6Gt@ps{YV$N7A>?;w2*fH0Z{y@H^ z%}4lEP~)td+?lRJC;R8$>9TJvKO}{CtUo*Op20M*^*hq_pMM{vz1mM%gfhvKy`R7r zWzJ4KdT+cpsSzhVrR;e0s#2Ehr~uw1Z{x4OE8b65^AO(j+uq4Kufu+y<6NgO_x0w_ z$NXGsD;MF*#tvNbT`uO)7T~1%v=1fLD*d|LUwgZYz8k`2!+DIgN#1tozc9Y%zdSPI z|7q<&S0^o5_z&i-j{H1B|DmT0{%;tdyFAG15=GzmetXl0Rzuib?_;jy5N+@0(suL< zKGhE-#(3}Vn?q*2xWMz8`OlMUV2* zk1+`C7WiY}xwi%H!j{1vqaz43@3^zz!$_W>afJ3~=9&{89|uGKj-?$_O1+qKD7)C# zbICY~f$}dcvEPrZ(XBzZAgad!Rv-A1P5|I$!u|ysv^5W$DEA~Dz=KMQSNK|CwsIC* zwUqs0`(B|`mJhz>fs`y4p{s`Q=h4fP^Tst-0$jDjNxr&E>u!oU*2v z6TkZL;vdMt3%C2AxArxVw-jzsAm(G7-z`y{xZd}&75tUVeLM>O81MgUBA?8;plQgD z2?wmmh-7ZhyL8Hgo#ANLXad#sjZJU(#c*8gjr)uAjOV%OKBjvdv5vOme9Rj-XAa)v zxmQ>qAz#Du>SXkAxvsb)C7DXG*W?!RFzDqv*G!PP%~70-CfhIp`-;K*;ItQc$^!&{ zOgK@c0+jPp#!NX&>zw6%z1zJSaSXI|gM97j4{{Jr&f-ULRE~L9Yex|4F83U`X>{cI zYIGFc#@Fyx!$EQ%98?pzQ&>k2*3Q%Zc%MMc+ehWlQ1&^!3X`7VuU#a2ejLHw_qfISjYTRu-)-8Gm8nD2%>KL^W`vgoDD!x;v=9u2(K zT(=AwLV;faG;7ve`AloUQ^GW3V%ZekbK(1fw^?e$n;7DcL8W`xxAS~p&~;-l#3qd^ zBX`HoMKgcl{dFFSxe@OVZliy|!X(Vc#1EDgEPaK!r{POVK;WP`{4Wd)h0lU@;e|YwnN3``cYJ-pVBC;Be6L&wjxQBNNBO_+o+rJW zXFB;I^^LKTMX*s$`Z@Bm(t8X(FVJwIFw#Of8t+2rGS=6XBZg59e_zKJ7z_KydtXQI zTl&BT&ST&@wkw%Nb%Af)xhaj7G0&h796ttK;Qk^xf+LX5hIX-V5r+twe{QEKHjzE8t`=9&2B;;NFDxjql`0n{y5eQ2-yA>^xkz@>d~HJV^`0Z{LnAwKWBk?Kvwc}#p4r*r8e z&yj+1)kF7m7+K-hlix6h{^k67P?&fvQ*j=f!w-O-F|_A?wK^yKeI-wJ-2hMN8ESh8 z5p>e)!0J%!UzE##%eaDgeV^48iSx@quXx_pimLN*y+3tybI|e-hdyO z`9||v5ZaL!J9fr@v^V%9oba~7sL@>dZB4Rb)i=5zo5GH{)Ej#B zf`Pd3_XtZ9jc2iJr6BPDjx+NjxwePDF}O~8ZJd+zADq`(X+H+MjNkZiwW@`3y0?eu z{b)7(FS2O7Vu;@y`C0xUUv#X@(zT$M6dJ~?xk~4d#(HHB-LNwf87;m%g zYX-@B7Ux6R(-yf9rWwY82Jr-2ZFJ8?(S*1Ei9V?&FeQ zlX%1r1!)edqLbd&r`hVf{9T@MKHGGr&d(t{_>e9<;@d-0XcM;6?SCsYcnlX0KDy*l ztHYCupmd3sSyTl-ut|kUw5?0U=VynyDWCbvNXf}1x*`vQ+Oj1)Fr30mdXlW?sE_V6 zFdJ`3(!9*0~L=gM$y8v+_cN%t7# zb`3{g%)fNPba&(s_<5d%c{1-O?wW`-A+vwIYY2btVMXDCbg<0QJUgBn;$=A%KwM{E z_m3Uzlm%xQ!Z_r>r+di+>Pe6Kxh-@~ja)syrlU{CQUzede{Nb}@Z704ctLA%O$fH| z*EuEnVzvJ*>QM7I&SOY>c3gt{KDM_P`yrqFE%Rte%djxDal z^~pQ!($sTjo36QC`1piB+&O`gc&_)(Q=g-_zle^uZ;<*3EP6}M*|kr+@-R1m4}`Hs zBlHktPV>3Q5Pr}K8}Sw2#r|w654yv>^&WXSNd0LooW%P(bg`}W{K31B`E`@dWXZtn zE*Z3d1NVt3%71Eo&yafW73^hrKGisyRs*}+qI5QiN9u8s=5Qn3h%rSYAC4rB*)2ux z8C3LzO>y26ZZ!5UF+3LnM~FEGFFU|P&b^6&mNW`F5bG=PlJ`Feo)Z7sa5pi~;+@g* zP@XBS6iL*A169Qb}qj_N6VNo6tcY!spI%`osSc>sG0 zoQ*3GCOyp79#_r(si}Li1U^A-d0O97xZ%GZ_1-A@{SQFyggl0Nx{vDQY@6jYjcg!ZV$oV4OLt ziJSKL@mzR@G2r`pUL<{!Zlkq_5)q{Dt=hfCUr{qWUcX=8qlF_s=eCK&Gxep&IF2cQ z{*ShFfb}V>kkf}A^wd6Ypc% z*qHSx;+34zu*l$4uXmdaIy%O(zHe-_dg1-D)l=I5Jq_MBFLWccg&#%XzAsv$DS4bW znLG*nfA$a6{UJrUfZaXh-a8Xq89eUBST3;?pQWi{0tt5LYOeYY9$Ypit=u}(^ej)m zzr#a`V~f9j_b0v%SMFk_T+7YQBt7h`YVy4Q5BW}>?*{jDpb-qHb%~<}ya>B8f-$K7q_KUc`aBh59NRINrpTQ@N-+N&P%*okr z`zVG2ur{9w{|ozX{>As2dw+ATMF?+ckOR0-sNX(rQfP3THPxq*aKzpW$)fiAezh#& z??H^uPIeulIdALc6vBnD<7J3z?K>P(Xb#de-)prb#)FI9k~@bk7=nqwejj?j5951-zsh1%NAO|p z4Y4nBdTa1F`~6z*lc7i32Y#~n02gHwtbQF`y<3vR==+9J&n-FDx8}hoj=cXcs{#W! z;FJB5wU^fs_ZQ)Q)JdZVEZqOMF-^~1;KRt+27JqEe9pS-srLwLaEz~-5?wmr{=%P= zyDr2yj@wn^2^7NNo!v)J9iF?|P3Zn1v4k8r<8_ zBbc}jz9H2~d@Fel)g>?6Fe+bj1m;fq^PZnU7W@}`kV1@Y|NY55L;9`w9(Cd3;$q$V z6)eF#{q)@Gf&IbR$7$OA0QzFkjYo8b?{#L>q6*uQE5^aHOin%lAGy8ADTPw`FA#?P zK40V)CM*A7o2BF_-XSL_zFqX=hvKK+=HDxZ_-I}t2giG?)KKli-}0v)d~jn1ukQo2 zJX@zbQzQosY^u?G4yfMA)9-7H`uKb>A8V2fVraDyng@S&L%k_maDTza%4?#Jd_L1| zoG+wd;N)Sj)DLq2@or*1 z`?CMn-I23Qk|Qbdyk*Ge@l-|i@SM$5&%qUU%{^gXd6_TDf7y|Ec5KTKm$X7FuVCkeU2YSevJ7T$R`iP94{x(PkAHoZV8`xVVH2Oo=$KiS)bPp zrmBeVE%^ogN?;+smrGUuC-VG!4?Q-JL5ksqr8z;_w+D;c0YAY12Q zD=!+1Rr7q6LyS!wg8nb_R7*_oBu?|MZ~DfNSbvfeU1eZLZ!7gexMu5oU>&~yyoj|8 zr+v+Hzi$X0Dn0Ou4GRq6oV*OBWM4ENdbko}2n#BvQ6FfW%S^|;KL%hA@L-vzQX2ag z@$DXkk8jR~w?{r?knB@h1}U%ix(jvU!VK>F`|D${k{3C*1wnYYWO}FRT z5aV>__RUkyOA~KGoS<^_|AL5P9$p_ilZnAC<7}lzIH@pCb3-#a3-@kI)My&afTxWq znzO%AXz;pvendLSe0*dSajkLH3wVDJTiUrfNqW00JlzOZ6#OejQY(me9=FXS#;8`c z%BMOHPnB(bEm=8r$Qd#Rqh#sgKEI_U*+C>&HUjrD6m=F4$MEByC-GdM1AzrQn~-kknJSXFxAR_&iln9DJ4qiB|cayF_Z(0_>i zm8}#_jw}{5yJ;+ajR%QOr1HZ?`H&qRJnfF<%ICWQ@}4{5>NP5hJ~DgXyldppZuXiE z126J(QkRD>a)o=h>*p9s0Uql85MMH9?-}mWpAv=!?EeSvVA8Id*BUvAx zkJaZC{B`+UoZKC!{zP}=$53B#bp>CY2Q5pHw`3qcc(9@=s}oFHu=n0QGm-A1cH>Ys zRrdq<^8%}r)M%Wc=M?x>qqtCleI<|8)85C>YwmG%NB>;JpqC7^f_nXdJiqMiN(ZUO zGt-k8TeWrQ8)GT76gDfIbkFH(MLUjRfio+cN^wEDoIOciW`4MS?!OKp*&CF;YOoh+ z*uhZYNY>ruN?b47ST;?4c)QayAM+kQ3+$O+;QJ!+;**|KmPM7{GW2ua5q};IbmP8n z5$3t^MWcAa*U7m@T(so28ns65jmMU|?iteaA7(?2*mwLeEKlDLwULKm@5#O(67Ka+ z;PnA}b`jr~85q2`{sf*9>~4!ZowOf3GgErOuX9qAi+J;{A@`3#>C}S{T;TKbz3kz$ zEb%_x{WD3Q+sG#`;6V#|O)?*D58oEYD!~7j^UalHY5}~{A?zzf%UB^<^IgL&i9c4= zhZgs-@q8D5X-cQx|UEZQj@O2^q7Gs#c#ah+~|GkDBfHpy9eAjtCz7v%)< zmMm60jXXcUZ?TUMkM!9n^`M-(ZWPqVjlwZf_irbBC=Y+383%L4gH(anG8aTY)=jBD`g(n$(-Ce{9Wch`&b(O3>OUWDkOgQ<*dOqJ(azTlKHg3~ z8lpLee0TjG1dY=CD)yDaeYye91#9kaAV0+m$uv)bjr8Tws-x-62)r-?g7iFU2A>6w ztK8AA9Vwb`2%gW4n9$QCAU#d{b}2AI`=8!>V#VH^cox z_8_e~NbhR>sszm^H;5$R4VSuW+&KflPu6gK&Y<@`sV$N>J>k(gefo4cGx)-pTM7PH zGzW-w<>2Q?1a2ql^vU~U=mzwQ_i^8^h%Zn%tSMY_)%WydV~jeDvlvgw5+xrM3cuKYxMj>vM?SeXgq`0E;<`~f@-h4|ToG%sZnMujL#ZLSLVL=&>$&a2DB=5s)laAIO{z60tmmeF ztW)rxFevX1co)Fkf9^h7_i!U|j>7AHnssjy-`=oz;#xu3v}pa@hhonvgSa9?IJ#$T zgb(!Zdhm?+p8KDda^Y}(<=9xA4BW%;d0%MQ%AC1_Yrfv!7k808#IeL2@sCeDlO%b6 zQ@29(mfcCC>DAES^@=8J^{Pz6d9(})QkC`~Z^;3%m2R4Q{wYrKBE5&`{%1_jd}7Z2 zh;k|Fs~qS-4ghIg8VAo3Ymuf{N=|vuCgjI(0sYYzd}5Ac*cTX*Yx;tm0t-;WLuncp z*Y^1lsEv5=eKR=j7I)NHzK?%ISCzR|g&lc%UcvXpmO-K86V!k8AyVgCGr|AHcy(kb zdT&Qda@m3SzR1thB~ZCryK}^A{d{d0WujQoyK&&$-Z5CxYIwe=Ea8e4Jl>;FckILBMxd4{lV5<;^lLE77La8mC1X&dqQRYZOm zc8prROLQUGOH|HQ9&%sghb50%Xvn%9`B093A8H>(NMCs-?adM|N#P^pVVIX61fO_` zPECWR!KaJ4zF%GBbs2c}C{OrHb~}|P$n^M(5;HQ@~Q&^bdRyyPWxo_td&vkvK8x2llK6^|@8EfO-ONPV&OV_}=xZr9NEZA2Jat2-sI@q;=e$83H;`RjUI&7 zP{W0`Z;T%q@VL^6Lb9(TQCW(v0;{nuu(KLCo?H(M4HaaX1WsV|F->!`wRObTX;$j$Ng{k#W*;G{=VeP z_qb@Dqg1?dV*iK|u4n4C9J(#ysUid8+p<;-Z0HwYIc}rhc)BITOl`dAEOP{=1`&T8 zcT{l_5BQ_mxaT0ou`4fMyz*&XyJ&B(SC-y8)+AFyXajR=-!u50UBR;WJXWii69HZ! z*Cm&rkIZ%Rm)KWIY%T^qUH1A`g%5Cgi@+X5=p~=~D{k?&WSvvt+&(S_Cm>7A$GAsQ z0z4(0tDFCfzZdxb_da3&ialq~@0X2PQ2bp&2B+KNaet9L z!Ne-$1YE=!a3-X`|EGiYTUsR2Q8#SL=0#8mxd0a`4|~LL^>sV>%71?+yIk=vANR_o zS$vL~f*c_BBG=M$^nJB4RQ5XqZh^PN2P-e|`59o+2K+JhK%>{mIG;*O!>I!XrtR}g zqt@UjG^2Fw*df*0^>N=?Slg2NanDZgGiqr{Yv4lGz7Ps-&^1( zANoDzL$r4=jgsO~qV5r^r|Nkhd<)4<%rj^p50GDk6YJu-Selc(-dtid*A|{lmT~~P zXmCzyX=xL&UT=QMAnMG$WaO=d6EOLm!Fc@tZaGQ6`}D|?#P!;*c`1Z;oPBLa@RTl} zTQJcklK#g7z*HZa&M)45Hx1t^c=P0iP+?mv1R8nhd-ijxi<_e%^H~FnFH3;cy-$U4_uL zEb=g%7jzsf99!RV=E@D-?M$$AL{&InnFP0fWwh>Zy0n+Mhi{`K^@U`I7IPvV7^RqZ z2M?I=%wD1&iDE|D2NUtW=fD;8I=GHrq@6lyA`jvd{`zM50W4Wv(axX1#Fy9zM z)A>AtekJG29FxGY;rO!~xW%}J)Hr6+`QTr-4e@=ot4J5%v7Yq}^D!2K^mSF<)v*8) zU)Lk}UrwM<_apj||bLfu5J#v)+ai$7at}ykbbNaMK7XLhNbSF@NG1 z=UD?B1jO4WJq%Z0g}o!C4+JQoEBp-bT`jzrK>P6iaYr9n{75w;2$sHh?+b?dM{46d z$)30);9cN)badMYnH%43oufS9e=i%U`ImAB;l3~ai7G+T@Bf1D%P!WBZGUeF-~6JJ zdfoe$q$~ib5VX*o#7p=q8Gw0oIJrZkehR$A+VTUwWr&yfK7P(T_`K>)oO;ShKwk`N zv~~q4!u_0?lFdokdLqLsL{`@?AIu_k6^(k5WDR%7ld{IObY>QOv9lK83m zxYY8tfyxhNsBr6B?C-9RQq&hZEo@Wb@w_J@F$As?J z49RukJom5+-mvXL>G@~??L7ul9tQyCm{TGTAP+gyucNn~nR22snSkvt*fE-5qhIZ@ zpuPHyA0^T)oWeYQ4<(H80pfUI( zN9XUzNAutJpC)<2!M%w&>oyJ^&x9WtF|x)R@`%Sp-Jasy#)4tYoyEI?`68&t6NZkh zs6C)s@NDs3wvmNyY@o`BD!Z?0Y#a9Ug zdesE0Ymv&I^DIz5R`N)CKLp~GW&X1NXaUbQYks1vH7C6*$Wgq&6=QoTcPfG2%Lae1AKc4P zKGmH-;qrVq>ru=@eP>`=QXzPdlb(C>N-3uhUTE3xw`omy+ih{d^Xe%J4Ey_2oATV; zFEC_|H5R>4_IommgmuV;Qr0pd6M8T zFn{MU&3O_c# zr~h#$)(kbMoJ?-)1(<1}e=p3*b8y_9H#kqd$Cd?#aO{y2@Vot_)8k7a`n*c?rLn+5 zuMRcSoI?+1o#SRy5uVNJf555a=kuKo+RGf1NF#be@V9U{?L;qnef8T0f9z)6j}&iJ zm#D$wXFZF13H!uN^G$R)5Qehz!-St#R40cpp0c_BIF$O~Px}XYGNKFY8>74!@L_nL zQ=$$2<4oPI!#!W-|GpYoPHxYFs4AvxZg73jepBv5|Oq+e4(ay#ax=b^R%B)#hK zcE$PM(zLrXI4`Lw#MkbP-|cn2xeD(M_O!&t5NiIhm7a$;MiyIUgxit* zk+U(fhuMMWD&y%~*IqD~H!u`F3-Nl~2oz7&t2Z752@x7LZw=wpO~d}hnu$53gb%S2 z`#P*s(9CV6e1IwcUfP4jrdDY-C)V@dHyfGIoz)kpxyG&{N-aj;oj?aS-{E(|~ z)u!UUFCX|Ecr-XybufeOtn+E|r4I5iWs$tzuYF{4a8*+5%S>NWUZBDlx%)BER2 z4zn>Ahi3AhqapMk#;-f(`)W>T;dev!eNoP|%n28PSyc!r`5GTQ@+4Q&YIz5$&cN}q ziPG;ov@25H1ApVb&*!|By`!|B;W|kAZ}(s3%6sedD(tiPIkRdQ@mRF%$87oqc-Zb= z;Az|TDZi`)}-h;>7%`V9^&G)KWqzL zivT7I430U>_!dW(z%!nS@5@f;vfSF?`{IrNz=ts6$4q93BUR-52AX6()9czj!;Aweh1H04aT|MMAHe6V&*1+t-yt1bXskb`c5ov8 zaXBoo(S5urpKy!Xa|ieRWmpT0+o+tV^H?>cBC|5>)jQ5}I!{`-aE2GZl%K2zo`xrfMU|tZ9IKbded3p{5 zuUq?;w7`00Blwll3w{+-LtBy5Xhy{A{3$M0Jss-{44H#kfm?^#$@@S2bpP&^p#I^q;UwC*sg88IECS#T z!SsnejLC^qkr&CBC-YvQVt4pn7<{%7Tm$a`>C147*4nq;5J8h_ z4mk8;)essapz#9X-2HJXOrJx!ZaU|fitovs#AfzG!Mk9Nn_2PxB?5oXPDmW0cO&QC z=NWo`Y7|5kSO4Eca_5papehh8zbwtw^pc!KW)8Yw*&V+CIo13Xs#ZO!RV;*r#uv1|N;XiM$n<)9NlS`rqpBhAKZyS7_aEXed zfD<_JY#${3_y5Z0kw=-Gdm42?9*6Ukr30xvw1-=}<`68BelJqcM+Rp9@xxsGd>{{# z$RbeWVc4J8C?HRGWmEBdmU|8I$)R*QOLF3r-@gaata}T~kfx&g?HxXfa9%$jFe1V#2LqWr&k3PRMNcqOG#dC|tHu8JDG66nT?qxUYqC9Cg?4{tF zn-4z!D!KUGGi2|D^O*GV)<+RP#wTq<9)@!|;Ejv_y&`hf%zx`QQtshLFXd9VIcSzH z&LfVqoXJn7Gei0xxBA0f_bum=sDk`OErjFcdozwM;PpEvC0F~g<1ZU6pe_93iRU(p zWhRHv;wNaFD#8^R_A~Z91t_%i>7d__oe9dP-VsS@z?+s{ zf6EYm!NEwn&z^LPLF$oQ0{&Rqv1Xs*Ou`#VZ2=Agum*|e(A(hq*{M+3ha~)-s~))# zBec(ZeXx2GagUTaZ(O+Wp^X_P5}sh)JI1@F_~0a0AYRYhoSjLrTv+|;rrxwN0kj-E zyEfpDF+bp7BWs;Yz`ygV5q`mgu-|8}%;q@a>*v;xSjkm}oQ7Wv&)bvmHH7kbc_;c} z%&`T>PBd!hDKgJ$tAnHF;Ti=~CLU*zE{WnxShpjEV6_dj!2Lz$A-xQ8=D;z&FN_Ck zz1)oc0hg=OoESL|56AnV(S=j^CSEicD_!DXPH`?VPLsYhDA7~AAo0sHwD*DUuk`8gePJwf+KD)wFM-z}_vX(z(&t+~@SefG z(wi%)$sE%Y`@;0Ws~yg~_EbL|dJ3$EKi%F*e7<4vHo}+K(IuabaPN8v^2vSdzb_e; zDfff!wa|Y7S8K#{|ZzgiGu@)z8W(>_1;hQeQ8cg2wBFF2jz zi5(xJxqj?lgsaf=yY9s%;=V6@p(@JD>5927KjzAGP=EHX3Hp9s8!7j28;@HCsYNji*D&5dlNC{+8wU_tc7MI*vXYK z+Bd~>gYkm)wJ#d%ms)o;hc+`;;Y6VN+`c2X!JO{yZw=nNSv+!5FHG~~o6ddu@shdjXjgD=)*o4A*2hVENQ-SGKe4uDK8@uEGV%*QAif>&akR|e z!`xD|zr3T+;Map`9P-KRgWeHE!o}Z&oEc8Ay~iZcW=v_PeQ+hN7upRNDZh6=ykCG7 z>h;@3oB&O`n4{;|<2WpND37}2)9?#w~qPcLTy}wwiw{BpH`d9INxdi@NOkNy4 z_v_K^pXagEMFywv*z~~@7`&j;ECj9UFFcL`u?Yl==GA3$!t{ON=t!U!f0_e6%wjJD ztl_VG2khMq=T!AohDH!;Ks)36B3#Qk;Uv7YGUnP>ZW^oozTdJbP=NO54gT?LSe8TV zIca_|knA|9;RY|>I|x~4yftKwci2gLvCph@-UhxuYYL`au~+`^+;FPIy#7N&$dN%u z=L?K=v+?Ad7N(p#++T!$84SM|_m5wWBE}uXEOn*6z|ob4r}GU1bl?-8R~@4H4x@?d zT^`Bsz48ZahYPV5XEyHp;)fmu-kf`0U{W5j7N|?Fe4RfXFP@K`cGq4^K@x4` zfX6or+0Xyy6)#*52N&GCQF|Nq1JacN`)lHT36Ozr7=x+~AKXMpahCpXtQ*?ns&&li5|ccpLpdkf<0__MCyBJgu} zV65h_-WC{~A4)zKM}OFT-dMV`KPAEwQ4ich@xS~KrhS4%9jWfBfBM+l2Fveh&8$Sp zXNH3ha~^-p8g1YYWbi^(H+`PfL?0RTKmck;dMv-iNFHti^5{Gd$^CR*`steka>PXd^4-BgMkU$3C{>Ey)$w!CBYCXaRe_x(^{AXd-(| zzha0tu3H!#=RS6IH_6{F+Mi1EKBak99ym(91@&E}=YFUto{+v;`D_Y&e1Mu+Ta4Dc zUZX(bW0lib7pe(?sMYy6?UOl15x2wlV9)w*Z5EN;Gj5>988fDuaD$sTVei4`j$ki3 zc-wc^v)CY+OYOhsM4(;=u6tlZ%&ToX0^UC6$e-^dz5M)bqbait40Fg6^PckA_CkaI zdR1$|XTd#Q+i3mg#)6y8p4M-P${A_ys{Qk_n2+Iwcd!i3Vf^#M_oWPr_A-<8^V`8) z-)CJhSDTEB$pj1KT-}dTUf)UNNF-=|$zaautJ|3Kaz3$R2uV#j)t8uq`d8?8LwNF^ zdeP@J&lzPbtI|BgZwdTKd4HHYh{v`6Jmj9a@Vhcn@8#*&4XMFIMiQt?W@bBm2y{N{ zXLC(5Ke_V*{JEU(+c#8tYn$tW1H@pflcC}%tc+adVZ3k6v%t^bIN{mBk^?+?0(ngy zEA`d;%Xj4YWlpr_mhlichLd~CtN&qB@%^Q{yKt9wefKBHCmwFDy|9zk)SCz6*yqac zrB4g80@nLs^hjF8+$z^t!s!aZ-vXl_d(|)EzK^x(=S+WEj=B1p@5mML!VTXS>HqKS zNQ|XBUM5(c8+*4W>iug%D$QlUKE5xK*Ng5(tcl637p`;6OJXaM;%_Y@&b)b6NYk6v3{mUDpFDPZzz`Kxh`cNzC$^89xS(K62YQRdr zmb9KhF;l=l>^8WRL@YAescy;*K_JTIagRpSM?G97#+ZKDp)QyGvF3jTcYQzhPSU*JISb8k{)h7hY8HR)G^s~tz(wOumn-#C!8!T` zJ^H~>A$ks5h$%$5ny)wpSmUiJTKQ1N22&v}Ac=S2Rb~&6FZhsH%WXtHd65L7z_(=4!@lyw*OoJ1*Gj(&E%xq26$Ta$1+dL|QNdQ+>Q@6P;v^ynpLjC{TNJ+F!HV*qkQ z;?dmiPdA`1*jF||=fG{llsj;}qjE*+2J4*rY@*~^YHm(d&Q`|=;uuNn)Nb0>bqd#g zPX%-0dS3GR82SoM$nSW+ECYrw^uc)}quR#a^;hSR#4G;_Bug$P4DclUEx&gQd8;0$ z{Z6z6xDl_(R>Fsm>y0@Q`?2b^lw44?K=9kSkUnz=-GX-e-}aXc#zAiC97doBIM4rx zoEXFuLl31ATC*otMvl_HQkpCATHVtuLGp%64tmO*vEH`~Vy)Vp9)TqJ^JOm7m4#&$ z;4ekrcPjSNXdw-6a3V)MpRI1+GrqF#@MTqM$RPF3c{-o*g7=9R?D)ROT(4Fa>Vvw& z#z!{7)%_cLY3UX9=|o#91NbsJL%3LZx0BV|0G|cN^qzXB>vIiUP3cX-TgvadaW#_k zyc^|8pw_my44>`-UOWxR6P|V1jrp2Wos_Jcnt|^0PwQbr&0>>?%L~gVPbF%V6XfyxZKKRlJ7W9t%W^CtuFnAZz-@!bY&zGLq z`*6OgdS-j&Gr=d_2xHg_k0Nz0XK~HA2h4j)V5IiWSNlj`y1`<2bT}8<#YA%%sMvTI z4M%*k%3z#3`SWCh`v5K;{s(e(pLZ@=@}w3Y2U7`P-fisQY2x?ZlyJI^+|YrgCiV3u z-!g&_7Z~5H0&(yCDRLp8E414;*57RvNr;fsfp6nb;At% z+j8VwJrVQUXRUVqR1y73xrQ`&tN!^TINu+`LjJrJIdcJaXqNVH-h&6r`P@EXbQtTz zJMbePXKwMPONPupeZq8Zj_=DJ04LsEM9z)(H^}u%pKOz>a8oZK{8er= zaV;_`sCa+6&PDtOTd~*UIK__6QN-)|l&_fU1@k2Eo*^88=G7#ZP$M!=bNlPPsEGgE z!-J^VMjUjhi{?T**$S7TdQ0%;`2&~KiSpsE${Lv=9FuA9(HEA0`aR+Q7S2tVJjlrZ zqJ>xW&-N^t?={$S8t8nFuvPTkHv_UOKqlbd`(aneX^1Q0KDVgl2BUv-bosw7p zw=jvA)ASPiO2!8+?-WnX_yG#;u=pICUNYDd`!D8WvVU3_LZEHzFA?BJ5BR)#{<|?B z@ra7QI%{6>SXJT}K;yUQ74uv&q`ll9Dz%TNt>~-$VIQU3piwu}i<=)Q{P1o&e25=I zUALKpZ&)iB?*$%o#SSB0CqJ2h?+fpl@q4r%bz#u?ley}bEHgsiGv$4W^^R-M-O!jwy>a z%8Tf{!LgA~6LNIlor8HY^Zl!ODsQXiTZ6|+HIN@mWPYJxMU63sw*4iOcx?8+3N19} zwJVg$Gf1%E5ZWR|#!CiY|5urTi^$K3&jTf2_;PNloY%|0PbD6kJKDKQ-}dgVcpAj} zAACQzx3iSMi)JS^Z*3`PG>dj7`?4NQ-gt+lQu z?~z;RlS|$?&P&g;o#7>qSzY7NdnfIUKd})$iNpVLi|6l-!Z-f=cDm$=B4#F2YXO)P z8my5x(Kub7J8RH`#^e70-mg4H@AfH?(pNyF*U?q?8#iNVI%<0-8ovJE8vBC{-e9@d0HjW6JCcbv>?WrZo%(e?o}g9()Zsq?V`c++wK+fXbV*ZjPn=k zgeEPyW`tM6N&N5OWD6YAm2=+8-;M{j9sf054(DhN9$peoN$*7t`%4mn;A=uuz*ZKYI0GB;gB z;+S;8Liscf;3@Gv;Z$HU)%@P={=uH`&f`8fD=101l?4`*nP&dZ{m(dp1$S`e2$Rme zI$kh(0{nKuIZr>ALqc>;Ji%AzNDaRkvl+ac>MZ=ZAKz3V)+hW{2m5#4OEzjJ{J<7# z8oWD{Ea2a4zCTNO5$8jx z1cOMiPkpil3+wn|pZJ-DO=2KlwE+4&r_+!*ofEW=lN_e`Stm!$@m36`tIIHHHYL(|2LENI64&yR zKZMJwPMLKgPuXZ!gVrR0tx@t)E@y zBwFeW-1o2rOP)!z{9P8^pwgIoaTGEDfsU@CJY zXghkf;9s|m#$KFb_jtd6HsF3PHIIH^Q0?3h?Sb#|B}~OpS^jFsy$5|{=|Q!qN~Iuh z`K3uNIkLa}LtEngM9HIZB!9i`k+f6>y4Q@RSGv`ic7C|#YL0koUa?^=F}HC}I}_p9 zH9fpN`23wNY&=*sTlxvZDuiiYI}`jWK9IDG(VRBUW6gOmgL$NA825#Xf6=N9&UZ=gUDIsUFc3dWbzKz9va}vMsl~DbARUbmx z0=5Hhj`;zt!*o8lZJ_c&tR*Xy)N#r{!&f6BU!lb|HOTA++RS= z{5HxXNaw**oWzq`ubVBQ6*zt_&g0@)8|^6P>6VAmHK${lLbrzV!KP4iN*~jeXZ0mo zd5E^zv=NK6u!%|PJw!gaB!fEwMk=QS+&jj2I5f)FTzhP?`gqs6>)!TDlKN&|SkM&a zFdUB497vW)eX-Ln8=MPlxFC;aR76the<6gH*VE7vesqL;A?PE^{r{=6_Llss3UBRC zhgvk_ zQ4a)6FSf~6E^v2vN!SCITAb%!6r*{MPQE(72hWrFvHtJFiE&m7>zlN%8+5}Eo|b(@ zVtjvJ?Dv^loBW%*awIwiCe(n6EPjp8JrZdxV>qs-5L<)F z-3`~g-9O!kH4N<+hwI#Sml=r{>34X!*!$2N=ThJbG8>#T*dAtiBuBaAYXixa@wC%D z2*YN4^JM%8B@E({EELT85lYk13<60)KIb+Y!>=pZ}Q@V#%KR1_$82&S|8&&)ZOcUR(^0Bgt9x9Zp;)t8RVO5Wd6s;o2|z*Gtal zK7qN!b-F{C&p$-W>*KMH;sLqciC1!=j{D5l@rn5UFRGZ{gq2{#!jDucdQ9immwubCXoQ< z7uXS~IC~tX#%LeCO{_kDM->=yZ>SbeKQL!`4mj-armO>(OM1RBVI;ave@ET(SOn8p z3{1!leKFkUBG;!7W4ZhD=gvG)#Q#a?4H_HO20Yw`WQ^T*6@X3m@_ z?03Jq-BzIe-HwEyX{e(50#2SA{aV|ZDcV^>VM>@eCo3Fx^yK^s)?zH6t@@a#6AER%E z6KgHTuNtm<6Pqk*QtMiWx=ESD7`Lb%Uc_2ByW)zR%WPj_eEqF{InpDm?HfW&7aIAe zJ8==^F#45}hpCJ_I%qwA;CazJ(KVyx<1gFQUt%Y7?IjP)$|>mqZu$?GhBdAqqJ8d< zF1k-RU@!e4JDm50Pf)q1^xZGq$P!-p(uwKnyGCD3KEG$d>tmnp*jULy9bAgf5esSE z(uiXrldpJ@;ACni3TL#%Pv})a>-j#um{|Wl1p7DX8RzLdc~nUn{r3hceKcuXXxV}6i|FqH0CnPQ;shF8kqhW(tGujjjq;p!RpFw-nvaHqwqzqd*N)dVfuu?c$D9Dx7LBRNvZG@bJ(#<(=9BL;l?M{;MXVLNzc88J@;Y=oczyhX z56>Z7602Ru-bCifxWDk8r~&*1y!Y-2UN)a=D%UKm;B}!l44hZ3J9e@!@NQI0+gt%k zpXjH3p)W&-`>PW>yH@l-K2dJO0JH9KyY!?h7#BG=LeGWgyg#K=ODWo4H5kjWV?>VT zFBioUV+fnVr~U&Uqf^qf$J2NO{nHNu*sw(5WUV@d`vCu9=M)pH-y`fWPZnOv8gJ?U zPOF-(oW~lK2)2*@E6qvt5w)(Tw+iWhQdB=<@Z&l9Tl9Dk10MEUnDS>H2GH|l9*n;; zFlDx0a&(~f_+0Bt-fBJWKkf{6kLn_v)`8%mEjrxu(&gDv)K|ol7Yz0}wAdO&yr;hY z*_ZP97>2nzs2kRnql?IsKPauniDw}RdnWOHeG;Mj)_CwY*)R56yv`rH2gvtD_2KXz zGJmzyM4~&ZTBJQy`%8v!)kEqK$EvC#KPH}dfa{c@Kb^}GyDi`+~8jwk8+ehq&##%6YSUaou(VeQsH;o|&+=SBEvQ@|I54j^6P1T~eNS z9%F+~8XQlzScCi+{~%@s(^Ae&{QxdD$H!hjHQF;^4SAS0iBg=RrILbS%xJ=l07Q)!03rxW3=@f+zKX zK4r9bGOc8v>M&oz_JdVI_fSKa^NzK^dlBd8PjK+J7gi9RCcX`wIR z)ntEIcDitZp8t5&;5BEp{yD@H^%L;SitibG&>vWI5eA+T&);hxf6ah>Hy9HyS^<^g(tD}QT9F4uKng%8k{R^*rawK@sD3-ca!cBW4_sQSMII>mem@UEoS zm0fCxH~5Pv^~+&?DCgyH^!|HTJ#oSOgt<($0)uq#ZI!Qc%lL3PS2n{OO}JpM;Y-_8P827mouM_x3f&sJ7j_P--~pf84=^Ayb0<>$E_ z9*QYnZC3yJiI*_Khq3=V4kMrjzsq{0Bd+olsOC<$1=3pK=bbj@Ft}n@IAJ@xq}6>7?cW^F z)Vb02@x*bKxDrn)Po6w2d`L14<^#t-U*Xv%*Uq6Ge9>zVLR|m1`^H^8jM(dmFKll# z1p{RE+zXxn=KAk1H)^nedx)Lnx*Tx-tiyi#x_+`(+zGB4woVD#Pq}E$X}Ud?0mFE1 zI`)GM=<({V9Lnigw1M}n&(f502ObdTb@$iGQLkA-EKP5O3)A#`8U)+a`qpWhQ~eek zwWSEU9Z68mE#|K5cWv#5IT;r*Tcy)JJPr?V&*eGSt?%&v#{i^hR--{>s50vvlmHD>Rp23Fe3W;B{ zEBbb(@ysDP60g1gKO?CrJ{~iEC@~(erngCy_V)VuNk8HEI6U9~D^0acFQf-s)>pba zG>BLOf8&0hdPhRTsVb&DubYB=~EhOQD zw7zI8at6WYUTt|#(11MML*wTldobw`x>kJj4>N$hCSyj`Mg(Kd3Avnb75jE+OLfMF)h9yQ2uOmj0Gs(Xl`-Cwtm~~ z!6cvaJ3ewh^T7K>_NUnMEktkm&;@JF`CiN+AO1nibWnfoFQGJ(|32_72=B38i2=(( z_n;ra0pi|-&2ZVvzAn$CJIpbEKVJ99FFXlb{ga3N;k{u{L8LG7`pWh*d_Gx_jQJQ^ zhes|gch`Lk`ln27@!SHBRX5FZ&C8;@>oCZ^nWh|^UEpW&9;|l`v7Y*BW~}A}=HzQG z?29xS0_?_~$zH_uri_2U+vU3RS2&O1i=y1Cm{9AxZ{wIwlG8=ba5UDVsXwLB`6U4$ zw1E%9`Kr(1%>xyT$=xo}bd-R1nly0-@Gihp03 z0v;@L@Bg;d-U)gcc+1b&TD7zKK=R^co)B{(lG+P!tkjTxluZdZg(0{+tN9z`CM*XYoM(-ZhkXow}iK zDsjKyGw?Ldf+u?eoU%&&M{db(V`$I$FOzbVDp{&e={meAcr0Tp=P56$$|-|Agx{Pi zRQ}#M^ci_hW$R0zwqb$t)DUl0t=<*;*Q#_Cx{PL(a`l|`yMyizPKRpltkxLvPU0j) ziGj8C=~c_aHK*8OxbU6rU!f<)fCHCI6|e&S^K}Ud}$4M*HNzEUBI@}WkiUc zyZ5@QKdTbF4=gITjGI(EZ7~m;@fOJwi z%;f*^OfZ%6TnqUz;lG}LYHY(b{2AUalCS@ws`dcp=BRgmhJ*IKeh8yK`NEqJD4wdt z;Ao)j+PR-+IKjSkwnLF8&9B{O#1%1CowkkH_v3rwe}tDOT5Oo zT{Va9p{_U;{AAhlf9+0Ox0w1De7~H_cZ;FNhxhjDFu#Df?jJU`+>lylLwnr=BF~@0 z9O4DY^Rw?QCPckV?%<7czPHXN)c)nXD`(dfX)b7Oci{^yn4Lul&^*-#|0qm;pjQp{ zzCRk5Lk=7)#QR0K6zvM+dpBev<~SVa0IzRo(D%5+B`Qz&I?gBHZq}GlOgKds+)e{; zjJZ}DywwYf`#y91#+6&q0v66D>b>j-$3i_1mz*?u?}^@hGz0l$e$gxp6Hcb*OYpwr zV)@n(Kiiyvn$xkXPZ_{|&KZYu^>zfH7Icz6%wH#ve+M78Swy7v@b{G(V=(sF{2Ms> z$JXDmc!S?FI4LK`nuV9xDiq$hb~xCL!}|q!w}j_;x(7ES4}qz1!d!9(RUi~jW7Cf*D-}*Y#N+!=pqG~LXY#pe% zyq+nV1N$jL`z^>hacm>9R;Y4J-=t6#Sv)hU5f_U8xSwoy)2S z@32W&w%+$IIViuTB%D&+5KQa<9+Xt@{ng`c{S z057i?l9LVwhwns}macov`rO>|)#nu)b>YYCav>haZ}G5~=WrFc(c)3}>`uN}u6v?? zLGOn7`MAG)E&$yt1}MfgOVEF@w}1iVZjAUBdQZzI4gyaLPNSs^EDZ7@#{cfa{)PK# z@wg9g4)Zc{mpm_+)FhpDAa>doeX+Xu8vi9XP5mdiR`dricHmiZfw0~U9$Ddw96x68 z{@KH>n6`3}+zx$YTra=L@>jm6*Bb+=SxMx3<`y`e0nyAMaC+5v9G1po8^dpF~$L)O_03GGmz(gliMt%H!9z z&m+mld_6+IBiVV;!p!)XkyfD6LJ$Op94@5QlvX8U)AZ~viN(b>j9{(prdQV$pGc^B& zzWxrZxi*x#DSr_8v0@QbSSS~vYn=L^KFh7>znw79#@c)e=hnbn6bpYqADKC8g+3&j zrJGNTIt55Nu6Lyu&j7lgXia-iL|FMeTltxN9cXhw#PT7{BGg-596;X%Gg0WY!F;a# z>tV!r-@2K@l@Gi+lNcX4_}+Lz3wVt4HBZeCx+PN`enEWhD?Q8jx7m6Qg&+Af@T7~T zy3;#cXP%x-(w;?=XmSKLr&hIm@g60eKu%qR33lT7J%s0F5g+WpFXuS!#DDPj!kFu0 znTvS5TF$kT`Sd88B9eZ~*6w;AY>3>0#j+kxGL^eiH1e{X_v=r|BG!d%4UN_Jc45A9 z%6FwnPHRGxm-H(tTPG5>zSBDUnbq&t8vYjE|KNFX<-d0yZ(76a`$=h7&h5n!+DbXr zDTxFM+J`4M^XU(0)H?(oHRjEzlfAipv3`zwgb~O2;_vyB!Q#oLZ;X2}05A<7sOO?V zw$hvHSx`W7Uzp!f?x(l<;pfGB_=^#Q6ahv%=M0$-Cq$|@J=ITst{aEJqXD4nKT`@R zxB?<`uKHf|PtCoY08;rfU zd;&Qv=AP{i*8J2BA3Be9(WC=U4B_8ga8=IJuhul-Uo5%;b7<2CytrK)=*?3UYaWDC zDSO`skEYq2N4`>Gz!JAV#W|c-;QD#cWw?5^Ze z48ck|_|2PqIbV9sOC!b|UHhwIKGrl*JV_mvzz+eg!a{%W!?+04E1fuXSS{6C<_J&s zVQ<4f?*&#A#UHF&xc6XS@w`?6-KlbZ&@bzb8P$*vtsPvf`^ls*<=M{)(4Io?HwLzi zuk9ucR1eDzTY^31L#$OHF}CD#aYwS}xk(%FAGzo7Eqqq|eRrV5koha-%ghPSjQ686 ztB?Skh@Kf10JHEpcy&MX7%d2*69+*kt(Q-k{Gwcp+$^w0Kld@Kk1;2nhOsF0Z-4a- zx4@qhd6agOuzvyO(679Zgx53Sys?-;A^vrAFO2+HG2&Z=h1kDv;2igtt>q++(9^CJ%0|TGE8g7bP1#y!`QTZ){uP1cj4;OFoug?<0AZ(@_voUB>rPx zAMQm{aZo&3l&pM%g}%gJ!@CCMXucpUM9wqSj<{<-tp(o8e2#q_O);=V4p~{CeQS7t z7+165svVuU`c=OH_+B5t{Eieq&5H$x5GdTgS8WVV=Z>$3P1|lSxw9ini_{-lxjU^| z=1H^jvNV@g1m7ey^b`7AGqApncHEPrT$f3);wPRt1i1p{;qFPJRs4IbGD6RrnTf=j zm4Xtp?nx#i55qx+AoOdY_Z{`4w{W$$zDW~L{qnuwTOxn@XXhm1*vW;U0`(rAJZj8l z&KmYN{62U1CQS1aO-ECG5i-6pczo_SYoK@~O)cvSe|1)`LiHN_(UBJY-R+FeheW+c z!wa+uxjd)cB}V-rFd4Uq()`*aKRqx0VJ7Z3kE>mzo}ueO;-kD7g7ON>HZ|tfuz^eDNgd}e;Y_*%gc~WFjF3WTaYRLH3Zm~$zcOshEsE1Oq?D~b1|k^zvh(Dd&vJxPs75A z@uFXJ@X)!yUzy?~{$|;D<=-Fh6#np7cnIX&?&vG?*f}53m*?P8vk>JWpf8rlg&pM6 z>#^7Z_x&K`jIP}&p#8juynfY?d1xbh>I+@@`%V@9m+5}Q>+Si;A#@eL_L)|$;zMkQ z{8$z2)rKQKvXp%i8QrKI`z5hY74A+?aKuF@eO2fDeRFi4GA5Sp&5?Ruoa3v!z(_M~!S&X@Kjsa5{%sgU zCeCB*%p<+VOOfyTg*RQIUUi)}B_4Q1vK&mP&VT zUL4V7R)+Q-@VxMArDmC%@Cov9f04Z1pB6d?Mb8Iy>(UO5ay6$Hdeq=~Xw}t)Bwke9 z_oX*`$VYQER!t1YkTWSFOMyvB->eqWXnhy5`uSDcL0h`4H}d@K@owu&+{)YcGF!Q0cwTsI zW|`%#xxf8Mx^G+&t=^k`IFCu;quk)0md!vrx#!KjXx5(aYhRkiyq|Z$GI#&!u#5Jo z;_QXPdbw$l@U2&^=%zU;uPhpYddk0<>AD9zf5qU`^Pm&iB$(UV;1B~ZU4VJ=62vgN zVZYymb!wSj+Ml?WAl$0#X=XxO-PYa{+Yg1ug>n?oJ;ywyl1+{U^+6Wgb>5O!LP>!5`y&u-j_`w&Rz)grBCEo$8)g=M;MaW%sXF)T zZP6D)T{d829yM;-di{wW;l#PK#j)+WT^J{|0rM;xbl3}1uH4eke$VExWGQ9NqHPkd|$c1*wS@V)RK zKjoSOv3};x&NxDxW9gyD1QPE{gHnU><_oLB&xkm#%fF-PLGXvA{R2~^_nxsdLb>k) zo#{&kR@M$BH|$yM98$@eL2h`zh(`+VL*X1qD8Fv#NhPbyCbeNivvsL*0Se1TAr=B;-hVe z<0>a-htW-Z4Nmq6)I6T&Swr~ZW5cPO`-}ZO=q}^s4`j+d-QvY~8qIm0511$80CvbL znZ9MA-Ehn|QPf&k6MbavCv*)V#5|Vmnc+@z0Q|DJnM9lGBI)o$H2E^`_gH>~FQwe5 z0&GI>v37K7Yf{TwSK*E0Ud&5h-M?Fe5TC17U3Ss^yN|tmFKlQ4?*g9-7j%Hz&8}6WTuOM>pyq`Rk)T3A(R; zW77G_H>E~zKG5!pRK7QSQvBZa&cvS=YyD$iRh-McgQz{g<(^mb)I%2=F8Km~2k@2o zxj>#v=B&u`^WJmH6Z9e)AdoQMMC+Ktex#7(yy$Y#5O0l39oau;ne!-}2lOVqUw97S zJVyHixbIIEaG#CrO)}A2WjxmYj*i4Nf%r3V(r5c*W`gq7un)h47uw-=$z;h3)GC3J zW9T(Lg=EaID?+#e_tAgh7}+MrP}vjA9*`=$=uR6mw1-h^(;eSRSif!99=bx(D|MQwA^G>R=DT-ovd=4B;@}!~Ug^ z{~gwJ6UXpWpRfCb5Ga8Eds@$x+_=W@y}jg?#tbOZT<$;J z#5=IOPnP_?^Y^7!_;JeheuuxW^hT=3YR}1`fbjKu!E<&R-P{8b?;$VU!*qp@4@HTg zJIo})jI?4|XTBSfPHkBTk>V|R!Cc(;9{{`b!$a)%S@30%L?iGTjfl^uo#29G*q;zS z|4MMY9oVB17p6Jr(twKJ%WLIa6%VAgsM*j1TQcKVa`+XV(xK$ z-ua!YncnhzCqJIPfrq}+U4P2K1*f2KF$vCmKX^*WQx$;ID|5&57Y#m_R#}gIB@YDW z<9T5(oY`CXt3hKl|9sP_;#_S*KcYtU3^^k?Uk`EA&o%D*AN#-k=WlRgP@_PyxYUsU z-XNKNI5c}%tVJMw(ellIszZIqid?}*S?2;m;I7>zew)< zjGK57f6XxIx$J=jwdMuLSa3ZURP-PC#N3+*J!x>Sc{1_~vKKCb7Z;Se8moLr`0u|x zF{Gag{$n)o9H9fPbQ-<)-+lA}i_wQlK zB}6WH-{{=x7C(%q+noE~xQT|D!yL!3T!;fQ& z3v2rrjYHmp`-bB}NHh@O4xWT}Z_p)s zn%~X+?|XP&8nbZkdN<)ib{>)?{qnle z@NXVH^j&)ZJKmKYB)2FS`qo{WWWgMHV;*?jSVUO;iG3dDD2H7z zxZTkR`7y>@S3%xVdJG-CiS;YjP6pC@#0~cTEqLp2|D@SBg|S;zS=B_Ks})C(hYuJwg8)!~DbCGuKZ51#qD zMJiRoxTx>!4COIy!#t0JY&+eEbpWZECcVd2wbXq&xawXU=(5Nqo{o3ycGTeh`1M~3 zl^-%Em`qpgcmMaNkNR%rKQWL_sM_*-SK^jj&#l(VLr34Rh(CB`ZFLS*7Di8lQ0#sO z4+pM+HD;eR#Lv|!T)n7IhG`#SX{LCG?)+~&sW#hFd&xbLDTKfOkt^Wu?Gxa%$oDq# zmVAAQNW?rDpKph)N$RIs6RkP0r}^3=b-ZE}J$&(K`Y1d3-%s0*{2=pRZ}?I??}={* zt7mf!@?&_Km-Moyg{>`P9$^2%Kkkb&y3w8~JI#MI$Pzxs$UoC7I9^u_&gJ*T^UHCn z`Zr@F$6s^_JSmLH&xC@fgmvs+K3>96iaVJ=oN9EQY*v3Ac&^;rd)6{tJ-VH}CCAhS z&kHE67&%x`BGwIy#wO~0;7p$8#LABw?Bl%$KH9H5FtQKR-&e-~;XcOeP(Wgato7`10J&CtReTBqDbKr{yqfr`}}2-j*WtkkLMSz z*zfcAv}F)QfkzWQJ5TqCEyIa(9>4#G^DDp4tm4HFvG^;0IvSbPeDNAHaXs<*ER*(V zFCYgeK$Qyy=cm5+siV&u@|OH-4(N^dEYF!A1X2`>@isdVKc?xEkcYuz)C=b^(L{$i zs^|Vv9I@_Z(mLEzRk+QfM`UlF;AB`1G(}UuR<7>&9x> zS8~p{T`EZrU}1)GGj@SDfH?ZH({9AS-U0b0D(Ag$eM@32!%f^@giDM2zU-xT95<4$ zqv^7#P;*TygEePd>O+%c5QY30_vrV#(roqv9Jkg!-T7<+2BO;ZPaHI7cq@#y-P-Ew z;vT3z?%`*QH4PA;!t=uMo~m6vl!Nm}CUrufuy?IY;&{;9s$PV3ZgAf4WaZ2B^;K`z zQ}`per``oQ{5gYvn)j_cF@E#k^XS*|+#5ay{(xR@RX}_l?E=rpC(M;Xzmjw7%TAb; z2m9Ptdv?!)mBWeszWA3q+tX!erSIDp5!M#%+HLBlUSy{%YRCsz^pQ1(e#H=e_q%M8 z>)fjt$%!6+m@o5H%hWWwYq7g&ACniYfQD%M)dT`v?$%+<$5^lO9{FTW>s-cs?7NLM zlh5&O!a459!}DIPhU z*`WclPfdRM%3yxx3h*rla{lETTWW-bXWl3IBs!c!?UjSFGJ)E0A!M^jy$aPzbzZd~ zQoVy_a82OZe4l{+OSiJ{ zpW5L*zT&2txQ_5(pGk7J3+;;3V{3g$Jpu`Ji2EJ!Y2XU6H!{wf5Gu7ZI*y@WE_hvZ zA}1X0ex7ebtnu!P+ywtv^B+4>7@ufc#*^sYZYHQF@5?e{8*oLZ2crMN`KnHVvsv7!zw8BIyfXDj# zGfQ&JN}py~8b=HGA|H`k;i)=l@U_K%U!nH&{tVXnHF7CZ-|zd>klyTlSK8171nGy? z+Jiw}cP&2;(;SHH*OfmFr`-%#TZ$Zy@NUi;(Y#O_5w3IL0uS{vAIsD|SlXwZla%e|Z5N<3;rGtA=o6 zw%bW>;lVqzaDBFrpPoP4hsb^-0DWZfwZLZ~^WHCu^#1=@ce=*+xwI^bV4<2#Mn%r% zs=+zeS>8GNUU!M5;}GV&?OH&B1z!#SFpuT8ddZyrz<@;YEG8b(Ue(x4yk8(zzcd28 zOfD3}daFNtcba+_)>^4w^=_j2f?DQFkNLOBCk^Jq?Hyc9SsZ-zt?0k}FMtL?kKh~i z+BnRfiG+dbAvtX;{UPTm`Raol+(FMh=zB^|yGA5kcaRT&A$+pak<^R97JJ}x1K8@) z6z~SH2#-93_X78!=LBibwr0NOnHGjioxWWcGi^%7iFy)zNxV3|?oZ-(s0Y3XAH3e< z^9Jvzrx*B^%qP5a*$`je{W`?2VK?xUgu^r2Tk{+NV@S@?@QF*Wbf=BxnvoaE23B*T zs}oh@0oTxY+;TTA1s7Y^5Ns+wLpZg;8JRjgp$D4y- zhCIx9aDPE1r!xGtEtcXu#>cC}CgS7N$USbFvrVbs=HIo@`9*Xbbw$CdThCnmzBHdO zMqnIv0Q}_2ytqsWmN|ZpZ+*1Su=$Bm=CSj_9h0lhCsV9x3HGhFE3%0-#V1EP5VkY* z_6!QwJ=axup123~@{A#S_*&um`@BC)KF3azGRc~Yx~s<%PSLJ=c6;ia3UiJh*{k}> zhr~Cy8~tBC7h8uA*IzvY-N~IrXtR7aq^8BdFoNQ7cyuTON?{nXB@%LVub8VJLkq9XCMgCA? zPJ!?xfpg!zM>>sVo*T|%?A!Ci-ex}Mzg?`9>)@0~GfN>7-;zfi1k`=pIC2diaOC9o zf{VWKTBvv~>)rNOFWq;qi~$@txIREV01a&ApR;K^^1lq6`5ByU^i`ajC(;7;AUL3R z>ym_##TkRGKIXtky7m=) z{tJ)GTYGCBZ&@HU<{);V6G=U3j16%NG1wLTeeQc7cGS=5=kdgv?v%&ST7_{@H@qdRS*roa8B*f0|oy4m@Ts2D*Gkq0S}82h&~VC}sN)Z|UvJpBTc| zp5jUmIoA_tE${0o-)GC7yI!sXF~-;Ce|V2X4v0=%IGX&W2!2+5e1C_L;KA%Xv^O(3 zlSaI6m^y0Xc;(`POD6L+cs#^2^Vo+3OSBRH`FxE*N>2dJmZ+Lorx8g+O6z&!ODY-q3Z`Ck%= zd+s;yfy-O*e!;ijf#>}q=_m^rx?}%>>+shDkcZj1v~gmKLYg%Olc=L(g`YetB#++g z7+&!5W|-tt?_ViW4#oL6<>QV(evI>pcwYEEKVgnZ_|%W?6{=4z{DQ&PPv1wiiM=WD z4f9Ceiyuc&I|ewc3nUCTzG$+nf)CT&M)rl7JJR&`g&vv25>gZNo{^G3u=t?>Rcf%e zF9W^?;YB)(JHpi3d)c^wgcU?LG_kalS6+=952jEMB#mIa;Msvd0bFlZm7P#Tk zt8C?^_lxZbRGWRG*k|xPt6i^R>4P7ynXbRTI^Npj$KIwJ2cvwfgvT89I6*m#>3Q^( zfUu7lk~@2E)_wRRJTJTe2ajdWve-6PAHFnX{@-w*KKI?#Cw^~v9p_uFu>c~Tzj zYKMY3^2zdZe_SMfI5YP9Pjhe*9gqDBeoixR-{0(JdmJD1KM-!aTWI=vRuE{ya4ZN-2{=Oc2UCw}&>#J(~Uz=2+7@Q!#8^xA>A-c!{Md}nYgO|F47s5Kib&Kh$5 zi4NEA*R>v+1K5#C|KkNgpG>N456~GtXU$;)c0s>V{^R=iQX5|oCog2{Tn+n5!ORu8 zlP7~CN|KbLe=A!148Ipt_>s#EZ1vub8Ez+fOpoK}qx13O4(10e2)iFl(55e$y#n`r z);d_&Q@7_{NnK_a(R$|D?LdBPcek1?yfDXRQCRJa3g7xwgYlYI9C8R#v=Lq2#YorF z9jNogIkwV+aq5;&JZ3tC{XWlYgBv8#t79107n-yeU~|q8|MJO5<$GOU*(aWyKpDQj%%80I;*R~Wc#$3Z{N0L2vq@jAM{ipW#${@9BC3;LD97yHXeIPZ1l*^qcs(bwY~VCBW_Nah|> z;C*3kMU6yad|%~mWyU9<^oM|_zJ>SK_0g~V@mXWnsVRh8`h~yY6AwZ?r%N$-eO=#} z7P*EB@AjQnDm|`*i^rx6lJVq4lkOeCACvDVzVGvb+{%)eGWxzOPIC9*=X2FhGx>zU z$Lhr^(A#GJ@AP2VkGJ|AzNDeJDNT54NPh@^$1KjNj;w8y9%LW|Mby-0fXmOkt7BWotAG2TC$X-&cb8@!I6mPYMaY3=q7^4e?$T+sR(;`h7Fq zm#5|)5;c#CeggAnt4%*4`LS!rk2U588~HKGt+xxP@Y}vJgg;wrpzKyv0nNs<#8`~&l_5uWtvqv+w`YrMsM z%$YF<^KP3!!3+$8zmmUR*Ka5_#AEa(N&Jbow~rRihy~7LpGN{Pi+M8Rr`Fd;KACx5 z4?~2H_i5!+YQE;b)P~6!%9q9bo9C4`6WsJ1*54#vkh94a#9wdChQ`qq;C=4R$gS`h z9yj=&Rw<)`v*Hm<`Rq>{)$ALZjkL<(FXp!rZE8-1l$Hy6GAHX|i}y|10rP zUhC9sl6=eS3Qk3DcY^ihV9l@4=iox(pV2b!xRg^sA@UEpW^CRD5YgfKbQS!JWyq)3 zc$`x2>Rex)3(g3p@N}5qJGl_7ep^0YY)432r7am#r1{(A?qmhbcK_PhRB2(gCe3fA zS8x@|4a;};O6I~RF5cm_G2%Ucw>DpWbEY(6tWnNgPdRVY!S^7)r^bbX`_1v8R`Apz z_TKsxe*c_zzYA_GUU*lLS7*+^nj4ndQ^Q^%oO3`q$nSFStn{eCyun^u&GeYPjo*ao zoB{hm*=MhKXggOk5Bo~a$(FaL4IfX2?5v$cG3+^c7(tcf19#St zUL)@N!r^f7mFK%7ndunTIU5=k%6a+xim{T%+6zA+?`LXm3Df=J&LZWu?~0S0`s^?K zN&2VAEi>gQah*x_{_8!8bZ>JP{z?v@o~^BUt`E7|AFmGXI`p~D(*p?<($H;loz&~z z%SO*ZU(a@xSHrpy*OJvldLcqsq#n@shG-WX4;bEQ+Bv;hBV z1Wuv6N6LM4FY;|RNz56!FQ)$P80JpjRbII&Vr~*~Exr8rX!Ux3S0Fvd+KaCk@}4fK zuY0u#X4=XAm<8~Y^Wt_I?qytX=;k8xtKIwU#P?eiiC!W1$_l&FsrE=d;(6hIeA$z9 z^$EQ#S5F%D`)oC=w;@L64*NId6Jt*taDNdl%VSUJi6wmlPszRw9Xm$BPlp(0%XY{N;US;e~y3akr#fgUK{Yd@q=Bt16d&uv=sf9RotJ#`$h8eJxdJfXJtfc zZr$5g`#6}7$@AH}P@muJW2qYaG|7YVh->ld4~5B`X5L<$UwI#g{h|2a2l&(bRZq?w z&&7S8`{>6_G>-GwY49VX{@!fzWka~0;9W4*V^y;}Cf2QafG6|_`n3iBbE4Nh z0QT^+A?W4i6`)@yKKW(s=qtWI#3bl_=w*WTo35QRq?g<(S?A?9M+?W&FFr+kMdcBM zR$HYb?#{A@9n>I{ns5*ldCS|Tt(GljWDv*1R^xrhDM8U99>z_7jw-d;a-EE%*Txl z*gJ9GsU31__@}&hv^-n=Fvuqh_u1r5JQnoZmLxtU=j+i_#24NN1;V92GZph>)Tb;e z*{Kf|eXXg$SM1*FOX5*l6Rh+5FI`CVRJ-lu+)?m-k@O2}-gH;bx<|I=)mmmK|MaV? z!nbVEF^8Uig@G0F$ud7e@Aq4POaJ~cP4@-PUdj(aKAAm8U1q|=0`Svi>`%J#BEBK= z$t;p<;7y@B0W3w1rWr5~SL;|w-oa!f(zg)zxxLI&AKud=Mjeb#&p$M44(4^6 zY5f=_2eYF&O84|7av- z;C1_Ik+1YdU&ojUDUV~F(63ZKLl80EJZUO8bH&W^rNRD zhU2)|thxD0k&^F<+)$+ctzR!1S)apvJGBn6uGyu39--AfY9u^sG7o4~8)c5grfeGeV(jZ^YN@%8 zTJh8oK9s}Ya?1O&-*JQaf}4LXR4)gtq zD4dA*3;+K8GSrXWwA}ce`@yj}#PzMQ4Ptf9*Asm)_L1QJBEG*|FS-|j=5yaf@j?`g0{%2QWFn;8iWfYC$AoB@do!`$fQ(L~soX0r>xbja%2N9@gx0;;IQ$O1<xbT-kF#uJmJGR z-pY^cHb(tP`<2#di%`++UuTsM*`uN;dy^(qU65+yjNyiM5~#*rjNcpi z;8tpW{hP}S&p6X*RrvemOvxZuq_ZuTUNeL@`6cda!1Q=Fik0); zv(5#&H$-ol>w}&NUIhDjzE5ZP#My_o&MdsaJTJ}jzxW(JaXu&Ep36_eMD%8CdCgL4 zsX4k&6R9@?%ev$%AMWaLgE^m1Ojd*z5Kk@|Mi^umzt+ z{4BV?++%J;pFGV|EDzIj(Z(V&nA3{;OEU&DIQbLz3O0>^=Yl!F*TIj#n0o8-A_DFo zC+Ew?cOrJGt@rk)xdfZw2;XMNIq(7#dG_i8oN|&szjbdLTFycSe7`VG)#YwG-CLRx zh-;s3wX%&A{v90`~dQw1In2!6`adI~Jk)#%9ihVQrHol|z+Ff_30zl+TNS!6p){coj?S$D>E^880|~K#oTinrS8m3E)-r| zf+zBpcwBzW_0jj_`=^F@B-7zX=E0(;wfJBiN8%*z03EhJtq?_-6Dgi!o1o-ZEMEMzeQd@58;)_-yeh zE_#gpDQZM#y13Ip3^+GsCh2_$dHw?AkW845ar`P0`+dgdP5h-kwSDhntj{o07yg1@ z=Bpe|c+zpZj2!T$7jc~A9`5_xYmZrhxhIYbH6M1Ddv#RzY+?-H+;$n7Q(1J)VD9jX zx;e__D~Tcg$Fw~IK1}C9)31VCu{t6)Z|1+azwnrDV}j;|z!`?7bDDn__$Y9(ig}+# z)fh;4b%f>?;71B!pB%WK)D39Y=!rIfbt2anZk!vI?^-l?fjLf`QJk(S_c1EvwbCo_$YTr>N&QR zFZIOzb<3CNPviG%*SSzVJU@(;dF9qG@}x(%W_}oj;)~a3brDIfb!!}TVVrm?^u>U$ zZHDLVLwy8OpMy6JUiOT`$mJo{WZH4rkiGGh+BEU{=b=OY%hkS=gSY0paNnQQ6^Yb2 zP9*x^;WorNfn5J|{T{SxPmD`BhW!iUc01wwi1pNA*(Js{#KZpU10Ee>CML{fJK^=v zFd>Dc4u2^^_rC3&_486URQE*<;eWyJt6otC@w&1M&x_>kGToFPIm$#wP`f(R+>$VE z+4c&(INs}~-hii8gej*Coc=5x7sA)Uxi{SR&mH+{+=Cx|^nM-t)Zp>Xx7b&ThjgVi z-Qk!6_?TSV+uE`n@fyVeoUspIqu~7uJhjYIU31pRW1#+C^j{bhJ>7#~#ZHI@A0`CC zoA;eEDUl0h_dSV^a5gXntaLXon?$!*HG~#5!Dhn4UGEi(lmnUYE}B@6 zl+qm@LFQ?kxoXI~dQ*MzIK0d@(2R+-A1PrgKeO&i~mxLwvz4TU|9|uI~n(GZ!ZQjiEUR?6mqPU;E+6!)##@kfoRU zDKNj`{Qs}`=QDoVxlgh9U5;C&)B0NYNj)Axj5iwQpQdxH+VCSE>ix88I{L^g_>0LG zp4ZJu#|@5`?%HmqU)j4eANN)M;(P8dJ%Npduhf@RGC=P6C&T_fPl;`)IT;zL#6WNz2^ zXqcRX{V^Y#g2%kwlQ_+RdHHJ}W|EokX-I0>I+7+pXTG4aS#xK9l^c@t393UJk4XSe zN%+8l-a3yy6-c3Vc~kGCdG#qmKdwY|<`Fn1I^DSl3xw>ob$;6+t3 z^85^}_#{v{I@3~UGQa4tpOrklzq9a}f;)!N3*hFRT~c-L2%iP_W)I>#Cg-*FZsN}> zLmxrj&v;%E_(c#CPv4?P@RfmH5%=o9JY}%2r`F6u;`qPH2s&SySUI&2Dg4 z)`!?0lAHQ5B%78vLP#(HJZd?(Tr=doxdih-4wAHw)xBmfoX1WUZ|{06jqucd^3vZ+ zc~%V*iS=#$S7YDJzRk#D%^iUU+l<9b&ApX}JuQt`|FB`PmG<^Nf=hvm?G3!QHpH_j z4c-Ly1Ya^MPhwXn#gD|lAqshZT+^OEd}S~uYG0Lsi`v%;oWE8u*Xid{qbUb*;J1+c=dal3a`E>&v*a`nZi7FU7jJEp4|C&}JoRxQ z2gshNxw!9{@H#!!JDyr|@wUjH8p0lbW*7P|+k>hDMRpNiwb3a@xMvIw2upkjeNB) zJ^PvQC$!bs;KKyV1*a-8H>HY0K5ft6op63+d*!pjXOYYgz_hWHz;n8dXN@wfpFhPO zljG*Ah7K2gT(!5Ew9OM65cDj$r#~RdOF0eTu`yS2wwte<@2+poCf1V~14C#o2jVBW z6R$@KuEOuhbFW1)R018_8}tE7n1kzo%@F?X2s`4uN6&p``hs5s?tXf{f@e^;?cOe$ zOF{pI$M-Mrd*#>TfO|cJKe_ssY~_^fME_1e)$qR{-W2{QN8byPvARbpDxf&Gb+zn2 zrYSFbr5CaGc42s;_zcH^55uqJnbV8K%XY*wUHfug=)W*{XHS~)VSTI!;i0sczDdeU zaxb6=xiFqG3h?9I{1o?S2E1JkrAXYST3idDs>~1g^R*#f?Ir^&`hd3Lp|b8;NV3k` z-ifv#))e0=QMp$gqjdf|^_;=}W}Cbya^N0z6+fB|UFt0SyqJ^M(zZy?V-thaw`!5E zf4|YlCj&4)7x(?v%*px|UJ1_aZT2T~(>a}IzckaC?z0m&&xoW!z{Czp#`D5?xJy@z zKW>ki{A=~P!uNjfou~8vY2LJwu@&}XXfXHASE9eawv+9}jrx9>wm+R%+nu!+y*Ccf zFGOBQ?w{Zq;$t1$qReQ8!bMtUvi1ua1=0~{X(Q$sKx9bDCS@x3**XFz9R9^qRqZe*YK;(d>}8BXK* z;&FQn-CE9~!Q$dguyU$!-$z>Ph*y3^Uktr1zHW~Ar%-s=c4^lQ*+>0=d&$=wS3btx z!V|BhF{AzHA!^BAVs60K#pSLpn#bvBPc1Q+406DIn!UM8d(ai=(*H}&rXA2z`TdZg z{5ZdB#z+V?9e>Ip=!4(g>=~=Qk1q-&UpEH1d^uNRo(v0Z;Nkj->Iqwbye|6aUxpTo z_iG#aV$84j?D+`7ZM=DvkTm*-V^B>hc;kB$DGc1Ky5PIWK4;5G13!hFMabFvLNDes zGL%3i{racZ{`z}={>l(<_V@ubnZXiYpkImNO*nYcDF2&^r*=}m+U-O-%>GW~#UxK> zTWZMrxRScuIm(sx?1yNs z*qVkGE*#xsRi2)gCbXy7s1wJHfnO7~DEEVSzk=s__QF|%UxPj1<6}PRKbt*-OS2Zd z3qS(nZ-5Ic-T~~zxqtf)=7N1t1KV=kNBEpw@VVu^)qmi+Bya%T#a;H~%aMnX`%F-b z>?@CAUx06Uydtg{qMbQVUwZjXbIj`dyXUK30_>I8KeOsmFU>a}wj&c>Pg@&R_!$4_ zp?jSagF;(hmM|m``M2zV@WXVpB89e@Xs{$r{G-4aluZw zFK}Mhah6%{@nOXT{FL1=b@hZ z#E`l1r%}qINb@D0D-OkT*@XjJX@&Hec#p;^XDuU7{db$f^xnL=h%kLvwj6zW;rzS$ zi_a}64)Z_;`s1H71-Yx&49x-jX3`un=E<8mXrBxpI`?WCTZ;E?&d=}w z!aFhgK|aYG{`1oYe{WCE!~2DSgQj3Q;ftc@DIYz*{fPSuFW?urQgX{yHRfAXrS6=o zZ4Mtf_hGNMCw}Yh@`#|nE2FXIIhMR-u@Ap5v30F`f}ah}%(6E;Zu{Li$PgL(F z`uq4gJJv0=m{6_>`vd)buDv#@<*oPRBKT#v-|cKA=cVHflc+Uq0NfXr{f7HK7n0F)=Dz6%oX76Cun-mdE9UPZ zZz=mJ@W-SdKGB;ZxS&>PjC$DiIZ<~OAfK@zq&PD@njvq`z1%Gw2=$zES1b~VuNxDN zCF=a9yv#7eldxd{_?EyLb?%4v6wkBQV?M^91}Bs9;xnB|?rS43k7xdce=7Ck{=~@) zeXdTxXVE6dQO1<1$Mvt8~rWmXPzfkPM{-vpX!VIs(>uc7>uud1il*EkDW1h z&Ex=NHDBGwKYL~f&kX$J;NMWNtX`E?|Jm&NA9z1We`9C|;(ArpHW4(M_r?duR^&NK z4Q$~~{xB>;{aUHR>H4EJS6)`nBK+-^?7o3L411k}y=1St1?Nz?e>(b#_wLhG6?}=F zA;Mv5llBLb*>dhZ5VsM{D}n$^H55X7H1l@95=6!3-cP z0auNAC>>mMuGYg|yf{xXu~+2Zds0uT$@}9o*)$Z`tl`(dbCVy?HG{9QN$+!XFP$Ar zJNbKbN&!i1%_g1Xy0O?x^9jkg?;}{Ws1$i!p0h437XEq8m+2(=Ef;U%ALGzJ(r6GD z(g#}++f0s*O;V5C;R1cGz`Kz9%4K+m8C1V7RCC#f1N8en<&ELM;(|8=)Q5G~R(z1N zaZZqPoT;D}m%@H3-(LLU9aM1XRaIrHncCbNWsBk}CWu($r)O+F| zW)R0KydIi#FIf$JWahtte=(&oOflY;>PrhqpsVbwo?AdY7|-ALjKO-!DCA+9^0*BB zmsbp48|bU|t+UUJ_T2Z|=}JNTK?tlW{mNM`1?mUf-$6N=SHr0?Kfta**AdN4xDd=EU8@PN(&_V5aBrrnQ>sr+FOY zoFP>j*J^-^&Yx54^`86(o+}Q5UF#|S$S<1UxnQAr{qe;1lBOr{eqj(0c%U3>OxO}j zr*Q6Cf3iU5_SmcO>(BSP7kRS)cUPkB#j%%Xes}zVihgBYy7sE0y@~ab4!6^&<6Ve) zH(TkvZ%LBg#~b5(DMIj5MjCRe+uxY=`{$ofIro$g94&mqRx95a!U1YNkm|9YrA>X} zxy;*R@D#CN__xk93NQ4`DoM&CKM0_qmd(;ga83THUPot4;AbPdejIj`(_g58sX)zs^Qd)mk6wFa8tf zJD#^JD>rO7z}TcNRk}OXA$~agm3%%~jQ0yK&XDI9U+V%V5+=b=pDEw0?Lff(21IWP z*E!>?v1G>wo!cdbaGc>$=!IJTo511Jdxy_=KfcXWANSW4_n4+$)P!@T!O3(K)GeP! zKFUj*g8K`9FVqQ9F8*+L3ain#_K|r>nrFhfi06Lodlu0xJHGi|HyA^|f0Lculj8T9 z={)zPbHN|uJrj5r@_l3HA|4V~PkZ9y?WM2a$HrK;PexCgh8)AIOWE2dD$gKp%f;ZF z$9buhS8_?^58vC&R=x&m}{>4i7sJA19`KmMGqZNoNyvUmsLvoPp-!n?=b~iFGHbdHjBVp{xc{*D_GSm= zJnajoqeJn;t{+RbypQ>$R6X386k@*p?UDwJ*>bJOc%}B=hd1_}n8Zu$Sgy03( z7w!arrN5v0q_KbD^>Qoh_jxUU$?pG%I`4oi%czZu3&n*ZIC7h&qynxG)cZKVv=k69 z8Oo9&h`fM^3}w8STB&Kya;KG+dvCK`GH`V7MxCEGkFTXur_mIb~nI~R-Lx#M_BB+wQvQdvoj^TtH z&DVZDPJG7!2|nsC9Fj!ekK6EO=0W%sA+VdY*h+SjtGO5WAb*Js%uar)pO`+50@&x= z2mK53UrJDqvCN>S9e5Mm7I)1>1JwI79w2}m{r$>UE1@(gHd%b|Z;7MkyzqGCPsuROdxEFK zd$+A8bEz{MygWt{W3`9;JCWe-xO4Ay6!HA_(M9O=w^Zym47`?3d?1V)F8kTL^WgWv zskQR^Sn)ZwSOIP<^WBk?DE!~7I>bM1?GGkujyw97PdE?oVTkVa*E&-R4yXd}V&b^J zev2J8UUgOPcT(=mM@h1 z6G;;oAc+0Tojq`1sf}lh z;CDaGRo*rH`=>4@HuxGGFwwz8KQimXP;rAlrsudVP5J(l-#Yu{=(+9LNp*L~ODY3K zGNI8(S}reAk!i_umW9!(Q!g4UJO_vNcwYec9#IuJURWzV80|y+F^5e_R*nt$3v5Hm z-jJ!jJMfgguY!rscyFC2{$|mf;1}`K0=li*PI=0gSz2lYuP~%Oc{T!J2|AJ>zW6au zh8p;G;V=A zRbLq4Vg1uzeaFx0Y3?OBtiq|f?n*njA^kT==FB%{#g*s#o;Ur0i9B#Oj+P+y@+1EM z;iVAvJe;4s`TacMT-=#6Qs*sRljMB-8vAJ0sa1Vh?%z*Iq!XEV@sR(*c}NW|f-}Gi zu#3no!`h?UANk6WO+r2!^I7iI5ngqZ7|h3@_Z_$m{mUGXLVAYMao)S0aHcIh;CWG9 z`||1INpxCEJCPjQ)01cj*TvN>>gO~iW=PJH)?P=GX&!i@c4I>5N7gf*Owl>0FLYt- zi$@+GTn__MQow7+T?yFqYH_ZsAz3cFTeCSWrFYWr~`(2NWyrzTrM9$%8au@kxECl*Jnk1*B!w})u{V+I#VB5{^BJ;vrl5b51ZU8@RY>QINMwOb?9FtuWvBwA_j&G&!gI$ z`!}J~2zMKEV&(uoI1As%#>p*gR|ja0O~nX;y823TUk~L!PIAEWB9OG zu<>uC`j>|XYtAM-@1oQ=usm z9^FPuf7NkO0QqA6V$;AXd5k^bTao+!)<|MJ`jM}Ycg6?NtWlD?eXmiz=0|Kxq%_Wz zyf$2P+NW!xPlK*|b)`7k4;e&PJMdwr)1Gz6dFS@IuA9B~odw{{Ffi^9Kh;mAhSH2R zZKv+q@2on&mUhbB{AD~@IKa1s3o&N=t3ye|wt}}UpzkR6BTHX&1-w2Mx=#hSd~SI1 zj@v0(M~nkkYy%v{``tAkeg@`?%zv4eDm=Eeb<+vsqD7sm#?l_(3?e%j^%cUOybHF& zX;W-S{2_P763eY-chA*4#p~zf-XE|ym*Q9$zA9YvN-X}wWrXuqIFkYJRz zN#BdM(q+!CLj5j&;+>s{#buA7a_*#}kv4OIN|4 z*r>Z{d8X=r93!X)2ap7KYhLtHaVbBG$Yz+Maa)ZXBXu};*ZYP#-Y z5=)KrH_x-k9WgRX@-a_FE^`HI4lx#VLpAvFdEPtThd6%h2J(^^)4T5Xe4SgZx5{%A zg?g;}0w{FRzc8QbznSB-FSAtC=YN`o20{K7|4FX;sHdGV>~~*|J|Kt#=9WateERbG zAX?5cu*c7hd&R+Vq^sSg9f&&H~c_*}m7SH8YxMDKaJ4spy?N00CwafXJCdB(#hqvigEMoIWItWwK@u%yJmZmKlM8?Df#u+hSA@~J zbBH{bp{rAf%9@h~GS`pN(?xrKc3)kilT;cueUG79LTfsQ-WR&slieugGAq)bN;V-lY13@}iIR>wMvStxgFbwp(pH0?sW5K0NIqI;+ED z9VOR(&J}PlS%>f8E;=E9%2EzQP55(Q2bhET*d-kEXJ2ONUTb0kN$yHP4hhD$RvKB^ zU!LznyxvJGND_bHdw5>>=gr+=jkDnh*Ra=kgMo_8;vsV7vA5k1aDGuF&86$cEyOvgwY(% zawRC~nwiQvq)PV0@#6#fO(b5E&iN6#Qx2+Z7D}M%BsN&%tbcw-bz;0`{!innGA|ly zxe%9qBQfWbyy~hJ^+CK}VtB38dkb`j{1?#gi>_f`it^dPt&ki{=q*8SKKnEFFOd*< ztg&GK;tu7;{qZuFIR(Ft_{%Q$7JXYb^p@iVlxCy+%WY#N-!QaauIg@Do-?e|{}}s9 z;X2L?m)y)A#-Bz>0sF{c%RH|K`hCg8h_@wf|2txje9ayc!#*x@o_2aCn);y3T)BEA z{l)&9*M$b^K<{ecEO5WmIBW-h%tKye@fO|rH}oI+tHmz z;ooP0go&WFoVW3*x6X4fS%_`f-}xq}-YhJSL_fH{)X006R9|#$=eOn4G@hR>#{B}H z;5WCz%XKUsvgceh!%_VKb*$Q7u5;I1#`G)-Lft;VC7sUU8jZSh&EP5TbiRGI>JV2Z z$o{y_t{lm^e)>V0@&=FlsDJ+m=AK>RZZCa>^EUd`%j2i5;xpO-zu=Dv=^?*-Voa}V;V2@7YQMyhYhFPH{P0sm6<6E(b~ zu5=7^AaCSowg}489EdzO+Oz_S)*cq+{Wlv;vro?hdgQ#h16kS|8chdyowh4Ld_c}k ztfF(jW`!S&>)%HsHP>nz@|)NnJaZIn06$|=L+Hd97`HT$nzBIf!f^VC10P@J>z{Lq z6F+kxa-sD;yJlE+5!u6@^2fT2t{D%$CF?6oP>(S$DLhp3fp6 zrMQsrgUXULH~Ae49bo-;*Al~Xt}|zofk1@9DjNPu6slWGQj}906GM}M@9ewQoj7iF zE9Q%JS>H4xRXIl0(@FG=ui;zffKCTPJht8kpU}__cv6Sj5ZlIYzZxt3PthoxL(IME zS7@&LSNP(+1-ZI+{UMxI0S7lG*`Ln$fKdGDBQw(iC(lw(^)0QmCB{819F!|Mp;yaY zw5~G9+hD)4T^Qv~;SR0HAmzfnpneQ}8~|Y4#vuf1j{S|a49SK5WoHISzTRaY<-Yum z`kiGU8Q_zmJhJ~QlQ_2Z+K33*TRZ&Vt^3e77830FvINob9$p4N@!yZ&Y$#PO#gqE_ z`@_A_i-V5PzhDdA{*!kjNPdn19`s2|Bx&q(r0tOXPJ_RmF(t9}d(fm=r|12*C5whZ z@IO2qST-{p|HB;o#VMny!mLRzJuK&q@GG)LtA5!wkYZ7AJ~dWi{ed_1E=^$nD;N}}+?eX%Mj`iZ zV#z4V=XhEVaG|-5`YVwxaNbV6AUXsv+iCP`Ec3eBKaL`f{x!_!V=JNSfnf8h5q@{1 zJ#E5TC=Wb<_Po$~<0tof{cl25H~uqt7o00uV5hmU_0y>UKANCEU6kKj$3olNZSM13 zXUs)d5Pj~Vkv`~7vg))7Fi+}oVmuLSQ4rr>!IHmdi33m-Jf(E($SgFBpW@H2+zFZtlZ@VYPXn{awD z2@N|q`E__f_5CB0&0y_8p0tN``A@16y3b2Z(f^2EZmtWl+}PhUnxZ%d>a&rQIf8`% zMdod9BvMq4Az*?UmvkQ@ypJH0K~Rz3nd^|D^--3O%)ftImP~V>R1I4IzaL|$zJQ)z zf`(e4f8iX^=})nccLh5+kSmM=pMqn=xigy%xY4OqJJyUDYM~>~QE2}iM`AE3??|2p>%A~i{{!EW<%So7BQ-BFI91QLvhliKJcoHQbE?1Vt-ek4FTAH1(#eK6&Zzd6xLTviccY_|u%9{r-(#pGk19^}W?NLUWbyzOc?Tb)7|h*AWSH5CW7-k$E&j z0OqBJ@utrv*C$l9*ZZR1UjTgMmKg!WIHsgi;dGDZ5YQ*j=Yd#=qdfnYoU8=;)vBTm z?vhj1AS8?Sj{B-%0nVR(BDA_@LKgR?$#2>g{$iE$Ge0SfTtOKa(Z-Kh{V)%{OyL*rt*CiR;NINd-Rjv@qi#sc0xVI>-b4~+{lZA zXbtp3+z>vGqtKIhf$kL>w$TpiHd^z}W(UaJzGp@FK<|XVzS;*l6#R?bGg5iX3nwYZ z$bXdVy+5n~|HJ11P9cwPB%h%Xmj=!u{ z6E)}UTR*A`TlgNkQ1x>|&yN&O2*9h$`Q-yY7i0H*I=c{GpV41{1I-QF%Ov7<`tFMh zW(bU#JJIi#LLPCfZU|K>EZo#>O^Wg%U6AX7kKv1CcNz(KW3RAC@yQGcPo;0>pfdb( zJOOgLvU?%&_?QE?sW&mdX4jM$^*Ob%AzX(xdsag~#`foE>?cJaea_V8fhYFDl20%x zTzOf|{0T7*5Hdf~J^fHm%|9GyD?G#f-E!4W_^S&+jW*PDkEY6;fBV}=%9jAIBExpa zHP!I_Fc&_42=REg`G5>!mF&0S8LC^xbH?q({qMlV;e*!QU-C@$?}87d8M5Zj^$mVn#I zxm+)MDF0!!BXLf8JLHb9X8-+Zchy%Rx1tZ`mkr-dCyu$Eg1(5ktAX%~y=EVIR08qZ z&&y~r@E06H_20dG1x)@{2X>1O<(ff)uq@}B|zqh z%Q3g+Usp_8p8oke$V=kSbN3|m0i;8}0h{`Jwc*F%uLobq{FdmrkY5=HLF(7o&la*S z(>9Kd{Wa`Vb@W60TK-kJRDB2S?3F*^1AQ|4M1S>De{ZkQ|I0_d%p6Gv)MGPYX!{rQ zWWn?aSW}k-8xN=M(}QwEK*q<@=YV z?&QT_mF!5mJ=n{+W?m|7IO*0R>(zLYT-MvjLuR4=BjhFFV+p~&Qu6ZL!5{k_fRo2# zX&F-WrlbCvC6s_pkrqBY;3a~Rn(@E!9$;W2lMQO@$wAtd)rbcW7t_hgjkU-*!4*A6EO z$7nV3D{UZaZh0Y-xLwWmiXfKBFZ;%u&JD(a@&Nl?)Y+d}6XfUr82cCDD%USFpgf;l zSy-QT53E@+;YdDR1ctugRDkBzR*Rr1eBgKWApSKpUG7L1!p8fIMBaq(qX+b$8+#$t znVu!}@`jJn%lZ7J;@3XWDw{t19!Wl*ClKSw2OiE5e!>{|CXewTuad9&EU-^!Ugv5@ ztq^2 z$0+aHyU4E`4@2JKV9j&5_EPgf9lSJGG2cP=G=<=@@Zh6CXF2zKr$7(E`lA)2%lB=? zX6@zi%Xb!xrjabjMgQ_U#_%6?w2EH1*~vV*o4VEU<-joYk=KHrjrlysM$zT09XFnJ zK>iEQcef{M9rI$i2KJ0>*zJ`bWhx3>NmG46bXN!#ucsHUq=~!aKXMG}B_p$vk zAA=#=AN{`g$t*F-wL1u29|J1pM^badnS?A&r3>hHFF;Sr7^;&MVl`*IgAqUMnX};c zaXp(`&KvKML@QUpURX!OPu!0D(D1PV-FV=xd7d5C}lDTV8ur2^WYfu)3op*&{974nVdng z{s2c(_#$?`!n>Mx3;P#&kdQx$zIe~`OcKs{B=V6FzuaN3H?jTqx_z>8C(b3vo^0vq zJenfGPS*{_QD4+}559cd&jT^f6fS(-K;n3ht3A=bFxLtDO69UR(wD31j5s~hsy^D) zJ(LT0EQp5{*1 zIA_@B_`HQx=U9PJ>JI^z?&=5F0M&bCB!|AM7d`9+((fGyoo}`Tckk`mQAc7r)5ok& znF&1v`-ZE>m)ET&MtI@}Moa%~Gdz%ZZ#Bc$N^HwJ*c6;gZg9U1qqc}u`5-(;x%qXY zbq_HlpDM8dAm-oRTmZt&OiL3Kix5Jn9FLl{&x|l#juS zt0B;a0}f+<$^O3Ip&t_ta~<4kXU2{1yd;-czVOdk-C$Gzs~i3&ZJh%%WMt*ep_r5(!I4`+-A`|@;hS) z^z@$()BvYgfb3;P_@dJsB^P6NT`RGi$0IaQ^@&*##Bn2Wnb0S5Zb)w@$!~r7o0V8r zNbh)1ch&{jW)rBh39r|pf8l!cVyQVChXLyBY{Kj1d-Ym^<{~!9Ro(Z}G|f*B@D)Gh z_r1_xvyckDO1{2FH!h$bCxF=WEBHXLYp;clo%h~_mC|S(FetHaDoVa|S;J&oMDdN0_b7>#FQz?ElPbKS;3UTfkL=ncnlVDroZ~lJ2}X{Z1uK0V!KHx zbrufB)3FxXh*;M90i#uKyuVoZjN{Ws)AMB@2A>GfJ)AvqX>onVT98)(44r3%&Q!vpQpx=yyld!@de}In^T)RnNYEI30m*Zo}?;!fCYkO7%F|(=}@jA2u5bo?SDr z6P@V3y$+oNe{XTEi6lI-wSI(lW9vTqP-0xh(1Fg{Z#~EU1%3962ji(b`^WNKG>3aB z>RjGW+E~Qj-J@Nx>T4Gz(|X1bz6e&X5A^(8R`qg=A-HqDoRo@wzifDe?V}>;7sOK! zib)mUO3`27F|skQ2>yNckt6R_=E0xEC`bEk1=SzJ*U9?YcTs<#jleJRoEZayz}N5@ z4P+xlemFUD&}lVd zS;VhftAGUJ9I3fea_AiZlE;Gk@)4h(XMB`5zBh?5y`IqE-+X$4YiRsA@GT)2s{-9j zi{ei|OYR9SJqJUBZz=oEc9lf;bL%>CT3|5T3myUI3+Hz|Cpkk7C-W(G874$8BULZm zD_G{nt_xopq&EIiZD)V+BOY(zKrc5pZy$+zO8V?Uok{W$A}tid4@}HxeZB`5YaZYD z(PYGM7eLY{A%DFTyvU_f^VAP&A4dB)xc<&0;&k(&@W0T?tNTvY0ymT!h`>ZT1^LJ| z^e?=JdH--e_2fW^T5+_Uxl@>@?~sWS?iZ|`X1BE`sGpke0*6?9i_lyC1)SQPCZW2Y z_|#c_rAMnvKcDbyJgo!HZ^aT9GTe}Vi#ZAlFe^Zx&YZ;^CFUK*0^xmO4oA_y!8DKq zLRO|w6%O3$f!tZdJhh(auD;@wNLmk!RrJ_Y;TtW!GhTJ|=h5G{!UpCWX;mgl{h9TH6WUHWMcBxA&k1R&L4R;NUu9ywQr32A&ZC51H`bq_+${` z|El_L%OIvwjyT~X`~Tm5hL3^g1)=`LW1WmcnVPHCAwqp`Uw9K-xrMJwEV|d4oIoMj zcDWlD=Sg1V`Z=YhCI>V?Z^=B{zrM@YK5}<}&i(#|o}cIFbv?8`T;wSHzclb#$8lit zupY`CvcTuUaT1>C#JJZXTdo=Abt4k<9gDg3Gy^FLhpjyT9!9JNi3_AGh-}^y|PQrC2)C`O1Dz^U%LY9r88mFI*dq znm`W&SB~Q5~CX5OJX4+CSha_fh(Hh&^}K5cmt3N&Eusi^{$C-g+8>WTMV`UPf7Hn z7qPeH{^XNT_4C93!nud7V(e6Z@m@Opy<&Zf6V+Um8&{Y__%#07SI?q)>wzVPbr1h+ zOs3wf7r=as%dl0uQuH1eiTn-@`1`?Kb+F$=QV4&+nW+R-$S3<=k0*{TwBAMi!$ALf z&|7le>~84C3ITAKX+u(1I44m)^CY+CDqk6U66W_*os+A1s9SLkv)%z51dg%2o&4Cy z&-tmR>=#}X*wTshH!J+SF_)epUf`QCu3Dd8Mt(Ev^Jj)B&n>^mh+a7sIo2$&^6;U0 zQ;Q#eo|Hk1DVyq;NsNPCP}x`Kyf>5Sc2eJ#6_E!fxlgw<=@IP3mp_gmj5(M7vH|xC zVvcevB#WLg2z>O@@m#+XTR(>J$Fm=50de{9qM{|U* zuk_(Yttsj;HexlkP_LqvAM}HcQ}p`(Y2Itd!Zdn|c!@pve#(itHBPzV*uP}qn3(`R z4)J7vT*p4kKQ3 zZjQ+z#?tkz3Z6XAkqA0g3GhtReBP!(bP>Gb8sK>Hc>TZ7II?iCNQzbc6f>@wR-6Ml z!k$3o>i#48eLfGLR~SkUk72<*D^xi=;9an9=v0IqF}7j4U%KW8d%8-#{1Ch+(nqwh z5aUPNuKNG^*nG}ycn@4z-jAP6(Hz$N7`-pfxhp4WU!}M%C9YCWeg0>(a6s)JU@r_zL3(VlIfP@#>kHg3++Td| zL(2;mZp)d2xfloOj>=SSVJlza_5a*zDYOF^g1dYCiLqFt>t-qEa&!b$=76svZ^G+V zV|*KMF*vUtd&5-3+5Ch&_-V2LEHe;MPumdTs5;UA;Ijh8!mVc@p;x2ARtW!gRi_8}ohwnn3-#xzOtWi48_6iZ-aH~IF8P366?d?U+ zKsnxAxjymq`{wL??Z;krCeT{@4}WTr{PsPW@yho~DKX4{{ooDwpnDtsHf>X&_&chD z`y}%L3;ID;RJ{nJlHKOY`|xc@jGtdLorS$=V{E?GP4A3_R}+K$;2_~y%^7Re+?4z{ z-T!|FJjP}iAM%=dMdk%_c>xA**OPVsgdF>1$WUA!q-d_uq8Q1k zfBhExF{CLkx)4e3!211jER~u<9WcHl_R%clY#yukU8Es@21CHl|CneLr85xL2gJhZzs$SU_y+-?G<(e&z4WEt^`SoNaRw z`DfBlml>I#evz#lwaW=4|DShpzj9s)_V&ytkDA~sIUsiEubB&XDc34>&|;SY68_fZ zG|f>s>PMi~)aceOO?Z^i$(3}z7n;l%*}FCT^R&LR78=Q$X>FxDJg!NMBDU%M`Z$;_ z^7s4aD^oRZZokj}?oS^#{x&Tj%|Z39UE#yd4t>Y@d}raT{kf`K4{>_5@WV=vUofI) zI6j)1b1+=HK+zR_iaiwbu#XEaJh|J#KayZ3l|5~0fU?OV+vew{x3E*R!fH-{ft^b0qG zsWSKg_pz^J+5eIOF*3inHOpOfVDP`lzCSaSyq&-3Sb+ZMARCJB#K;~!>3(mW_d#!I z&p_h$z=MSyd0*`$!j|mQBIqtMUokNCoRK^q#v|X`i9gQ^`zfx3DzsnOxM=mOricAsoh<#rj2J>#z~!&r@gd;> z<9*@1^v@+3>aYFFN4c=@{lxNo0q+Z+yJ6VB{BRh9CiE})%+sCkO%4oDzic6nO)ox> zAbQBw*f(%LRj2B8!)k;PA3D;{mB(J5{uA`+1=|*VR2raMu$mFXIEqbgduSfoc1QXR zb|hDvgD)XJ_~W-8lm{d1pt)Jp4`WF8k?G2jzEx@@x91*oWz1#wPZ0h{;ffqe%?+Qi z#4k;CZFPMmkKEhdLbx1iRp)sV8r8^q$a`f@`0O+q$YAj(6!O3EiM8k$hCwDB`#`n^nQ8uRZ?Ch#v2FfBG~Slc#YGnrHt} zzWRM`b{5`f>jf5a;*0d*Xz>q)R4Xx)am`0x9IbVC-#`N8|J+raFU(7re=Cn3vFKF%5PG+%Q=y2B^%IHz`M1mQaESem;bvU@3&{?{M2{t9V&d_LrKmg^0wM`1SmQXo$1857;6Pr^+o)gMC)PW zaJI9kZ?JlaVLj^?*zb#f|3)yqSqg%}PbtLsH81dCq;8n+u6_>aEfcv=$w?(=;0$)b zKPy}n>?`@Yvp(-lKX88Oni$PDX=_8LmMzc8e;_<_>S>)dd6lD$K}qdn@M&Y^i$E7*xu6OF7|b7oB7;d>)Bi2^Yeby zBZ4FzXqC6z;~9@FG}u0^dG3h>na{PmlUL5UDKjp}C*9D^QF2P=?<+s=9tY5-ng|xb zoQ<(rYg{}upZK(+&TqD3eia#OxA`PVg+O2Saj|IH%m+&hN0VrhoKUU4r`znpZ7m@5ol8^EG zIQ9K@sH9woZpb5KECKXiP|E=za@I`PIrU+G%&nfYeYAfRA)VvHx@Uq_uO9Nsunce0 zv;M@dv030CdiP1=kgLZ2oGM*JAF_3^Mf;^@@#2&I^w(k|xz~7qN?`Yy6CWsi`yAlKrL=ab@BgwX;Hmd-|>#)Hv{$cI27J*hYD^8)~(eV3?wy*kia21Z|<+svx- z*?>4oLmRT(Y9)L*I0Z3J7LcDkv0U_MRC&Mu%#Thn7=28CC~>>XFN$#KMM58Tvp|7x?uXSFl9$F9by1(l@K~}+WhQwD21N6VE~gD zqjQ%-?$n9{Q&&e)01rA>q|yzn^Qt#Wmz;&~v9AUQWrGhes9vFP6pv&7$j5l>p>WmvedkYyxO_kJ*hrp99Qgd=m$8++jM7TwoZWq{ zn&WW_A^Q69pS48l)8eMBt!dBj82Z0W1-cg+;_ zL+^y;YiOA$Kiy1 zrR1%24WycEAQ}=u8+Z?a{)MZ6O|Kp09C7^{`#|;yC3q;Ov^0xGvw(R{x^m>YUN=Zl zd+{Ff*CpR@N&c^Hi6$`<(3Wd-b$ZW&Q(sQR;sg0^cp` z&wqJk7~8YDo0s%wJbG1@xh&APdqJ~Gi9Rw{pLgIB#x)C+d}oTl@Um9`D2wkHII7H3WB8#p=)CALIO@5F6r{)WVHPgssMp zYwJMwFpS^uA|v@3>yQh<^QsHsvY;aeAC(@czUqPqg39Cf2eUlX*A?z0IqvT?FQAaSpBHSqk z6-4rV$*MbU5+eSB6U8ZnDaLq5=q7obeEN|)Ni4xp_)|Ay(Yg=%WDY`WmrhXCSNRrt ze%1>v=x2y+J!#nQi+8v$?_bDOz22{`G$9fSkj2sT@53&gnxGz=DnR@5hRc># zCt}op8V$cLzMZ9(3}Vbwj4k|Nh*@Z5>q~4SuJJlq_22XS<$lh6lBqgm)MN5|uJI;* zExSChkmLg{93y^=M$@4G5TWUH)1L!5dN`^6(%q{2Pn@4z=2?G^pe1JkiCFKUxtU)( z(PqRHhMEGZ2K??<@LThq;&Mnf%|TGgs>|u+KJGFj{@0K2zC6Q)vL%7S5esEkH&^E? zThr)OHwf`FeKm(6!a|=wf4V=_s+@ri1rYs@N_+oI8i}v*C*;m^?kTwbYia{Hi}!`) zn=ZqX#qSdiy`<*77Mar!h`+?19Mt8o6Y){%d-^+=PC+iX_vI_~7hdnLdBH0jgg^bk zXV3vP$6_?73)Nwu{So*!dB5E;zC5S1#GIH7;I(tS@X-$E1xl_@P0Zm8>=*V8@~IB{ z@OOrhU6;hSgEr^T4L**VL4Q8EQp*b;=F@yOxUWtWJ=P!fgQx=<%jWf_n`2D4Hr9rnfb(2q$j)+_uuURXAUUySR_ebCYHg5pCP;#lu>!SD}Y@H44mp8ACQ z6d7LQrp?F|es0Un$Q9xOWQso_76Oq)j}5zilA3$!+<2xfu??%&1I(XUI8p?C5Ardp z{1i=XSZ{P9jNZi@WWZ0wM)Kw`&lbJj7e49}8K0rNy>^*YhXKNMe2G8Rhm}&OC8pI| zmitp12zO55eUaP(PxxOVJNB;flehQ?RzI@ne7NQq&B>^rul3r7>xS{B*P|Wj2Gk@I zkAuU=F&9k(bspUV+&>;*ctH=t9PT%c^7oqFw+hFt0_JAlqiwkJ8u~GC&U2=LA0mRZ zQX_M~XIaFtq}lNa!XIdRG)Lwo`!nIoM~uVHUcNGaNqryw&q}wxi0cZyA@XAmV4jS0 zzH4i@AaD5^z-_br#7_}?Z=7(_T1=@#jKS#^k*ql;tfnsCu&pPm-_`gr+qW%7P3v~`25aI|m7|bhP>y_n!k{deDSjpWd?dWv(eD(32DSuxM=8zo=XF5gGJ;+uvFi&X6=kia9 z)bCce@za_G35Tl${R>pOZq-J`(Q&lX?w?tS<9pu+2Yy&}rzu^U+Y|4L#vyOHH|&!^ z5B)SZWHk6NtlL7ruUt<%`Ud>JH!gi^8vlyo#66$KY9i7lJ@GV$bjHzgeSa$(VtmZ!mL%eJ_Q+a!#A~c)ZiR;ZKL29hFW>jRaGDCc)V;<2 z1lRQ9r~{9U<4|G?Ei<;4!e{v|o^!qc355;;>9E9e`#KC_fpx?m!@p2UM0a+($*<;theqa3GqwTa`$Np;&bA4vG(hx5UfV)~G z_h2-5H;8S8;l0=(6=JOmeC*v}`#5A9LM%5<6Ee zu@LKAvgnt*FFSs7y@_1|?zy?<(1Rd+QZ zP&rYbM(CX5M-SndOpbG+Nyw>w+r2<_a^9XYSNjC@7=J1Yj-;38VV4=G|4X-cX45(j zid&T+JjmTOa*2Pw8#~g7Wr0Iev3CWq&pq5CzRs?RR%*=AF&-w)U41J(q+;9fx zYEa3!87^tcyFO8gP8`QSYvDsjq0;AY9{tPyX>jzJ*ZNnCl}2(v*6t|fH*X42-mA?U zvxr}tQC|97b+0dT)_vI5xB*i)v9Jqq?)4LgWU9f&0fz*Fd;m|v1tWU>HSx*=Yd4Hm zalbUdN;MGpbnsX{A$4b0hmPT@Gi;tq-7qGLUlvV|pY0uNCg+n2&qLdd)xBnBkkn}l zr&yI&w=t&4}lFggvEjqYq@#U~ZTOBF_;&Uzt}5 zZN^hFANdm!+uAvc*mm3l`~5FDDEz9o=%=nW!~Mb>(`93b^G^oO%P;pMVvfbnnY)wd zv1@e19GCY-+XCq^c&;b6Mo`wj8+;QEqVB?R>#@m6=Jb=J3kY=X@E;d>(ge=A`zo7$ z<&Wzz`c38*ZYwjwU(L+c+_vHbnQJz1M*qfv@YmDy99ihAe35*M5e1Sr zv*k@1Rbc`4Yd>;vIndi2b6T$NtbY&`oeX)V$0%^CC13ybEB^;`>h|q>%!i?MGf5Xqtw+)2P<=>pya) z(~t{Q@U&B%1m?+-YaIk`I*+9qVQv8(RWeI|2UgwnAm#|4Y-3BH)4a&R zJUUoF3$DuHD~{HDkt<=;OMvR<4OBE~N2_7J%|heNK2-Co)%j;KGKlvw@4IA*&u9$p z9mX#HSUW{IXgY|IQ+~)?zoqkIenSxnnsxm!6oWdt&k>(R+GW#OGJB3%Hh0jNC#! zc8_z!cBSe3aw_up_?-A-9A!)JPbIyVM`HiN1Ge>f>JPb7XxKh(56;Q~U@|&jzc2a_ zn-F5#Z{35h&F8NX{QhTuQvQ+yT|tc6`?wzlGM?vf7umN}1P8DSWM9W~F(1RR>s9Nb z5xz%qJh47)>z+WmkDT}IWEI{}yve64yr;hqrg;*j;L@{zuUj;UF5e${pPYvPJ`CSC zIZfb?hE8L0eQ*z%Ob!3bEYw|X=UQnY){;*fT{BYWqkn;#U|%%)eaYYc%TM{3!$Qe} z`3zysT7NiVo(z51cgg9RJ2}!-@?wTyo-Fks-WLqr(1Bbq%pKSPANytI`j!P#GV?Ik zr4Y)7oD0KZl(YT4JMnmC7v2}CtD(2#J#s7XEgP_r0DKtfW9*FTc#&r@P8JXq^qzr! z4Bgu77tQmCtKLoxiVW9{t!L&^0OXUuVm?-Z|CtIuGOFn1zdbgx?`h(xelFx$2p6#e zbitfkQ5jqX<}IJcKC90^QOB`=5guPgv61<$lji62I_yJ8n|FLSKSTE+gEQ$r-nTpW z5|1IK)=i;BJm>zwpLWa!Q20$Itzr;o_XujmfL7=&Ik)N+^iWc#zB@*8()M@H*Z;n# z%rLI`@^nYN_lxqW;*&G0-|rGggP>xHLjNNBz<3YU`BZbFM!bkYKh9gp$QK^M@jKiS zoMhfJEKV=yG?f|d#;g^yiQ_U_rGQI=F~WTG`|PXgl#`~MBjc;N6nI~FAC!T9pI^6? z*uSjo4zefa&cbH_*AZW3pTo6rT9@~)q`9V}lL^(^#>j1X)L#}#XAI9>e}j%u&hv3m zdjHo0AAjC@=PoVaL& zGh7g_bLPT8d5@oaK_7~sr5}RxHMjUinDA#mxRpa}OTO6$`!)7`4+960^`PG;Qdb^S zwFnab^uMSB?@TyO(Xq(QfDEbCGVCuU(4o|buDQRxp5w@`+{k;@SIFbzfP*oigfy{X zr=~fV?_up^?zH^VbPDF@Jk3?#uT~cN+v!8!>;~xj1)N@N`1xJ8Dw(_(JbEXX*dDS8 z`eb>2N5`mddZ#;qYS}DtbENor55Ql^xjVa?r4y!esqLY+l)9^%p>{k-1OK8KgU#Ml zAf~!bTal!k!R~p)_?}kJiVSYc58tlJC6<@|_*=N{eGm8($JaUdJ~6^2_w!W#%tBky zpG|kkQ$1#LH_iEd0lg&)_}s!Nlns(S!G~g9aaVjlY|zJhu@_kMy(==*H@7yE?l{0v z*~M4$uUt~dh5?<$$p2=)MYAmNPsRC1=$zq%H!;SkdkgFZ z8+raWL2n68$6f3zOR$Yy_FqT&*AO9np)yM<6`bJ2}dQUI4Bb;#Z&vHj4nUgKUImv#$m*?|H@|f)kjSKcq zVb}vUXYj%DD7ueprZ5xSAj}n9*1tBwRUhP~pMR73>PPJWKM&{EHtb4SC^HK>g2&AT zN&N)nm~FUVmMnN2*=|p~2FTo-Y=r-X^;+|tsWD%ies=nNY)Tj3aL_te>ASzf-lZ7%Bt9K*e@mfUV#Yy_ z)a*zy*|X5ER*1}@&ljeUxq^Tr>|f*_y6i4G(SMFbk|P&#*jK*K^TeL`{j%+@MJ!2P zVY*SD?Bkg7{kIKCzRvX|^~d<;QA><77B4Q;edLy0-Dh0`Z=8Ad5B-UKmt*EWG15mx zc+xBe5nr*TL&!brjQ&OVgycp}Jjk^NH|Y=-TFAqY-|x~A!*-s$5wXfq?B=Vyu>Bdt z_!%$g^`-tm|H7P~(t#<&dfd#n{=~Kf>XoIsvV;gK1~sJPU2oc6<3w8Hp5Pl~)tTQU z5BCe!M5R;ym)mp02(P!MllU+%H?dN97Dzzz;O}7m-oglyc&OtZ#JEN4Tqo({eu*j| zn+ta@H(%%=_D?br=Nz7+zFNcui^vy&6!b0>UFZD%5*C)1*l_o&vDPWbZgzCI; z=0N0a^F9W1@TM#jTYA9=XXK_Cle*Ahs#W%oZqR|rexz48-2{%tsRwj|e4rkT zrlNa!!mp#pwu4Cy4&vOcb$QgF9s_56yh1_khGfudzA3cRW8#xS@-z_u3smVZI z5@cz`-%M2fqxVoccLf6LtL6I_yf31k$pUYj`=G*f?ca~N%HFQ|U<)b zUNE~kuMaw10lc&=*KMQU-^g6ldF45KZ`^fH2z@f+wJw}Y)jg;;^l6+M+dh_fOlyrX z#Hk2HnCHqmq>2q;+qYuN8t8DqF{#@J_e-*f-`P{b52rn9Q0O84ANg$33wsZtfhl3I?rxB>wOGcvK z9|c}r82bGOb0D;sVO8E;PytQBfs+0xjfB5c;!VVuo5b6be5rYZQhYn}`!iyZu+w2=n zm8yT%ymeqc*>Hh5KT*GL`yh&9U_n)ILiy{3#0hs}3HJS{E|4HqYGklm(_ZvK2b?BK z4qE0VKbi|{W^SiY&2Rk>`IXE&`?or6?$fr>&ct*&&bEdT<$m|t7Gk^nchxMq=RI)2 zNS^83WX-EN8ca}c9P76V`efjWlDuNb%8mCtckTPX!hRpJZSQ>OVSs-hhWK*l0e?s3gg8Epg4$eb5zf^r1%@GdY()UtReWdQ0I*=Yne_ zMy$umQGDZ3&fm4wJ)bRdrdYp-dW_4gZm*)rmkn#R!^uYq!D1tRdCcpCt9i|bU`x7m z82Yib>@yvhsXC|nzM2P6KZUyUz!>l8Kpt@am#K5;_aX?PZm(9Z@K!(Z9Sd>3gp<=4 ziUT;kn;Y^cUpqh|a$Px`GaYFxF2LP~kY@s4!0N_<#B2YBm>bk$18^YjPP~9@jGSRy?J~{0>Mr=^6-uvYK8L6ItKGG zo>RH_3ctE;TjU;Ly}J~9dENsQpnu^qKOcPl>~G%O8<6RzT)(5^v`=~t|31f3MJ5x= z0qsxZY0gc%^Tz-5{Wd3@t@I4Es29;u#CXkFuY+~Ikn-AyoY4mJF@Aj}IS_OAZC`?) z&I82vx@w+l*JN7$-MqDre@6c@=R-JlFPcye8vHh1xm>pbg)ed28+;1*(>J3(k$lv% zVUoL8?*{TTc|Fh>yk8v1^#&u?g-wmUo#-~>($nSMIvnRp z*MPmOT+^Z))9MzQEdZnvQ}61up!JKPhhhC5-WQo0f!8OzpFuIo*9K2XbiDH-Wp0`I zX{vBpKEQsTaSojg^+b6%9-d?s-H9#naTeAjPq^6uo!r!yf&PVaTk1hSCVqt6 zVk7*_ezCfrs^KfX_W27kbWd-EeykNv{1(2%7?5MlQ*eeplF4kYGB)q<|ZI~yI= zR1eAF`pzD_3!XE)TR<#Zs`sv^>LT&Ja30p@%(vuu;Hpy796+&?m9tfUI3j^gK}N7@ zKb|Ari&&6n!Gj_6VeAj|afZ$b`IbrOf7xez-3j#`%3H^ups(b7`8+>je0I|_xO5&LMQ-c^Z4p8qoWD`$jbWMKVeBgp zv2JUlgXEpJ#Ct0KkG@^i|Lci-dd^#U5>FEE+u@?&G1ZX$@tP0hFpOS-4_ECIEB#gd zqn_8mITWtXqcG}l0RhRcb2OI>elgCqYL0yuk58(u0k4mR>1~3DzkD+0fxs>8@XtW* zAA(W-`NgVvG$Tt5(miL{^|M#*NyJ3W4XQmt;$&xR$$6b6t z(K{n`9=kGC@|$}(rxS|P*B{o5C9!{!A*h7Lti2o~dXuETD-dw+i7(E8AHVIt*Y!j5 z2sV^H+vgV=w!sZpn@fy^`s4)aG0uDY!(Z}Cw$FZI#P1N}NtZc4cBQT6W(>*GJw{(Q z625577|mM`3fFwg5hX@=dug%4g*u1+h4&-HJHZ>rdUpAlOqzwY@jtzN2`Nd3+=eSM?4tV?n$wjofyef4Kr$_4a9$GlQ`mnx zue@l4t8E9)4f{T#hsm7tQ|P@oAFl@HYvOBY9WFeV5v?#cWp38|Xvww9%)))ndT;dm z!cPncq9XRG;QK5@e-n<}<PI{XP~!y)~G@4%6-yF_;_t%Rd+tokYJgi@0Z-l-Zr9ZUXJ>Y zIV*L?|F2G|$oS*)6hSzpYGRjx~zFEK`<`=t!o)4cDPr9AB6n2#Y2!fAL4F}`zW z^#I+I8_dVp@Pp?Zl#0^Kd)~y?#CKlF>Q9|AM*PB+e#|e=vASV6PVw+vN8u|D#QC1U za$M-6q+D4NK_ZvE0$v~ge0ff)`$hjEyy&~0IqLlT_TP$qCD&uyyHefh2(BCpJvSSlz-wEva|jZC|1g|K-K0-~a#FSr)4mY% zU*0D=W8WkBt={2;HZm>RJ6ClMh0$_P7JXgbzjPm~IoZ}Ao$oHOimq_)zBqacd*Br8 zwWQB~UTUrb{~eNRuld8{CQ`p)+cSrBA4=aaAbB(DF#)fDKgL4*v34Xp#_!T;EH6kh zU1c900^bYEf&az7MHe}{*ucI}!5f^EIase9xf!f_k-aH&qX?kG5>nGk?8hsMQa{k zGw6;uKdv777d~D_#?s)+ZN@kZ5>10UW_@AU(O@EVWtar%Sn9w_gbPZS+l+B zwl%27#$a=@Izs0ezd$F(fud8KBo}uS_WQE_O7m3T&yZ}Lv;G2q1h90Snv|Kr0A~*E zolS@@jvMz`0BVQl; z{S7}MD8zOcfxb0k`cUj&AbY460zW4k)K7-#dw(~F!r^`n?GjBb@C_`1-jZVtKg&*} z6kiY(-y&ZO_f~vm>{VIdfqtKL6_IO^69s$8aojH=_iAcS9DA{?;Y1RhANG|IJP?2% zS@H&kIg{|PD%;VW!nvnXrl(U8^JOir!f}YLWg$1#jiT>oncCvTC5Cf%E+2sIju){- z!F04eCV5-R_b-Ft7vsWgvAfQ_7DkeADGO3Xr`HAji{#0?0C$OVzpEJa8*c!AjPsTs zR3LfJ7bX#}-D?fY)4YfWg@$cx!#>Z|+|cjC$(858&|3;8Yw;5!xf6{rPiEohBwO*L zHg26q81Gm9{3AE@zu$=_sJ$v~Zx>GXXKv#+R$@R6-fc$3Qhg43gI`zlmy0s!BxHIf zER%$z(a4v0T>i=_g?90Ra;d-i!ER;}j}^n4MUddcS9+5x_yGN(ALR0^L)|grH!VT` zIo_w4Q~coTMtqAC9pzkHg*|sB2T`Mc5g%yh2;$h7&^|AbZB9#|Paxp@hy@%tXq;FgbeX^&3X5SbzS3B0!_mZ6MQP3yX#e(Vr{yfLtILz!y6L24PgkR|I z6fCMLCeS!O#_C)&dl|S^7B9Z(X^z8WkNI~1cuM^K#6!OdozbzQVT81zUcT3IbdT3D zT73GG2Y`phy#BOA^5%UD-WQ&?J+ZTDE@>S6FUZ@ww#!QM`f;M=HS;&ts?FQmQ#cDO zx=*C8d~iPUQ$2|ZRh}90#Tdh}+}BR|%FtJM@h>jVRrROP!_2r-{i8k5Cx^=cU1I)0 zj7im_$(o~r{XWZ$7Vk_U#w!g5S54CB- z81a8cc~Un4-`WzdB?k_|+*1V1Zqje`eH~34BeC8$oF?<}cj$uQHtw%UvGf`9`k|{t zTFv5KaB7*oxmaB{Dhcc$^#vT`8&?L5B5W!%>G~K%q5@3 z4tbi)F^P*7pWW67)ME@%L*DCQ2ETU-q6zS2eaU`O)+IncHg$j7ggJjgCo00cQZopz z*S2By)B^gCj}s;m$Kjo6IaGDg)=<^WehdGL1lXeA=RH02uA*C`F+3l zea>}VpNspEayrpC%yrF<22sX3Q`0UcWv;eOK5Q%lz5T zBJWw}p6G?*7x6PM0xhXvO6_D~x!u|Vo)TXe@_SJO9_XM~hwx$={xRW4<32qK_VQ9E z3(bXLC@#2VPa6UlzkEE1FDXE9WPqpbJ_C0A8&UIvJhPQ0kubf zSBzSdZ9_2sqQ3Q2&n#jYWF`E`@w{j|i06gBr&Z#VLlKKSGW!klq6z7Zh0iwO5Wbasu+} z?8lx$z}Yu+4?Q%3E;2`9{b1b}%){IREYs=_=s{=UyE*O&xcJ@pB29BdE6~4y7hR*& z4Dq|H#Jn%}A1`0oTeX2cd$cYD(VgMaGqnfvi}>LGEif-O190wZt9{(*sj9n>r|4v{ zm|ujGyx38F635CbpW-q2W3V^g9d;5@?|*7NV9rPrix z6F-{d`RtFEPtcDHyG=##l=zf5gM1~Z72n(E1&Pj^1fEh0)RX-Rp8S-v0PVF6qc}DK zOfjO9A1M_^Sg(T53O+w`T)=T+zgwdp(u?;$*}@e)voB42)1w|^{@^*Q`XIu`*OY!Q zGO|Zcb0xM5|Mk&Ed!xeBslh*ygHvZYlk}?83002w@BsCJ<>edE`xk|&e-Zf*K%*k= zK;IWX-RvaoW$a|pd~UlKn#t!zwihw>@%TSU1Q%K2Fx;bLO@)0jbKEMu1rL^c+*U`@ z3*0l#p35li0lR0U-?OrV`e1SI_u?1sR&UKstPZ5398h@Qg@lW?!a?u#$Fqq03C@MO ziNB%7A1PE7IE`yn6R9W&3mET0!+OeyD=FGb@G3&MNGIE-(F6YH?#EG`JjbJVvn)D4 zOp2nBTd^6KgnTcrdoUkK-TB8js?0{`2Od-j_zgeTIO6;{9kiA_cil3`%VGTe3;wOu z+`~K`Jz&fq|2~uEpgw9+UNA`>?!BM%AU$>ctbOe%*e4H#)7GQ9_ACC1TqFO$Z97PR z?!^hkz0-3d=o9LhCvU%DB!|~FLV73X#SW$ikUu7;WYRPU3jLR&uY!ZP6$2<9LAL<= zG-}KMhh*pl`}fW~<%9esVxdQnuPo1iYV?c!hx2<#&0>8rK3sbN4nU8Q0!R2Q`9kev zOI$xOu6ion#4!=~+(UVA&?}b#2ftzn<`+MlKuyY1DGrp*NuY;5xZzH8BDnkdHO09i zx(ntP(XpoI8R3Z>jHU;uJAZzAD7|c5<7K@aG1{kWDdr^2?<75<^uHj=#r*kCW-Jxr z{nZ%rOJ^3AKcSxpe$zMqbyHsUx=`h-l(Qn~%Yc8ZKLEh}a32e3z>|26L0W2u>$Efy z93TA2!k1czK56{)|FOCz{Q3@U3xwn`4{2zCOH%18a9;+Rj#&60A1Y5 z#-Ln-x~pEzvckxR^L4o2BZZn(Y1ahVD`cc3DgVB)g^+q|)*JJFZG0_$1}Cr~8zTyn zR3B^_s9cauy|h>8?{Qi@U^6u z3OWwYk*`v^kSl{lKiSiZ2OBDP#y*+Hw>?W-X&PTZBf;h4{=}ULByrX~cMYhCjve}@ z=zKN#@Zc82OJv$MtTak_0LC2+7kG+284-hCQMlaAtqU;oie=Y>l( zcfD7ww4+53I;ygdi*@F=?TPI=k>CJ|kFGs9gRo;%_qkyvGheh}1Uc~n%wsV9US{#g z)$q}gPb*p74im)Cm2_?KXpVA)K)i#CF}Ew~eFGQx7-a z6p^lcukJZUYPaEsk^BvKu)?cY?N!VxC{jNE2s|%hn6V-J;}P?^A#c`u`k8GR&QxtV z1mtSyVg5XLM{th-{oY6CnxiKH#G4hSd4wJo%@zDMLAfuBl63!!?-_qy-_?ns7%mjv z?4@~nJTDi3Q~LG`aKqxW{>Z@jG8Fafuis-I&IexmNbw(U8k<3z5Hq`Wsn7_gVV?F> zSaQ+-B7MN#B>u0?fwYx-a(?L|-vit34$`OaztQkp0z2q-)K&RClT$=rJ%_v!=O}-? zU0|dS2fB=KTz-Im47~w;ZcHLitexIuVSeG@a7&B$nWuFCuMg+^Bkbp-pBFq0?inA6 zT-mKO6iJQuAdVN;J2IY*F;+a-nh@XLS{=Ds#GpT0nu6!bebUH@v#-|&bAcxt9%6%) z_X2-1^S&y-{-|>__%Pz5T4*Qp)6rz`&Um3(v4hNoGjJc1+`3l;g#!Ec%M|#N1K_-E z7oq+K_{Ui9d=!g+ZrJ2`fBu|7SNs9yyFP;8qTYEMzEX~J)$0uX1^e4F*smZ3{khca zF%<3(g~P^I@?)EzlcLVZIuU%!X1pN0tao@GcmiTF?u;zBZ#~ zudAm1;V-0^Ub*28WCEWejhF~KK z-h$^%&gnJI^b7mnTEK_Hdib~iY7RVZ=+a!na^&z`VcLfqV-ZfEcfkbli@(6WSp0gp zrwP8MV~o5X=jM4SC)OIgFV4C33{<|}rCu_3QDgX_7?cCPC8yFl!f*Kyr&-sD_l$7* z*V&5>IR!o{$s>7r>%C`Cpz=trcaeR-LU#wzSttLPMbhWv=%#%v2U4i^_iK0B{h2_# z?hZ4BhQA+KGgI{Ec`Sl{!r0v12DwAzzh`WTqcuE;_O~d14tk~RN!^j}%zik!r7QAc z%ni$qQx5WS5A`kmJ)R=CSbUzfo^!urj}dnH^5K3N>U-IlW9p^^ww)h^y)<)6*95D+ zmgT4Kkz1b(?}O^ayVKkjeRIG0WG6n)dgq{npat)2?+(ftLY`_iu2Yqc;~ptssGFuf z3q%vplg4`X>A|$;^~Y;(7iDTs)W7hL@xbK}Kr>NP)wx!h?#(BK&_?V@C^CcgoklT3 z&KNzH-F&GXd^%VB)&J8Ie3)f*kO+I9DO|JA>;mPR``8j=ZDx#1rRS)dYy!Pb5ts}2UifRrBIJ_Y__{hg-w2nYC|ci_ z4g9DEF7i)qqtAjbEbv>N;(kczl}wYFo*ks`Kj@Xxlh74;XBz;a9KloK;O}swK8EL^ zbQm%J1wE~3Hgv2}HKRz@UQ5vn3XI;8hB-!hVD{pk$~lvJ0p!L-NM#0*U|xQBqkGHM zm|wUrtA1G;g?i?$fSy>+kH!i8PA`u7E-V%2c(pzo!s}nLh9SjUcXbPimG%?3U>S zP7+)Z4{JtQ2yXPMJtlzj3*EF#B=ii}%ooCMDg3>E<7fjHvz+wMdvRUp``k0UwV0>$ z0lf@d!v(*B^60R)gp6`4Ba_;5&%&8tYR^H`n||cNoQ9I0m3J}Qo%nd{JG8p=P7Sun zq9>jIN-a$8AU&+FwnU3>!4CVx=~5VX!%So&EVxj~Yg&C>*UpEo;rcb^5cE}GqEoPs zmUTkM0Ljn%**T2_Q@tBJM(93Mzt14%3OuSgR{5l(eKpSme<@>S-dqf)eem(l#U5R_ z^mUyxa%uPQX7let7W0 zZBCL8viFWse!&;uoka5u{JOc^s+`3uJDNJ7*78FMKjp`Q*C#nT_+c1NJ#beiaqiu+f^X1OzdcT?JOuk&RjQK_S zADjZ{BlF2#HF{`(T^TNe*v}Z*I89!s2Kw~fAkVx z)|x+(=*CR|&}sx~9^ohSS>R*0{Hf2o&GksC>v-y&-!t6zQG1>+>7L;@#9<$t8!!r7 zXqc(G<3Y^(%->oUC_NN2KZ2*ky^qr!gePUUB}=(D$PR}Z0|u=jK7hWi-a?!o9w8jX*2?V};Gch378 zTz}>{4i6Wf!hf6LuaHI29a9d+M(H~6TXOECY$|=hFZBB!B!A!DUws^jj-p!~s|g9{ zkCOj_KbhycxjzL-Z(j%KmEupcO(3qTJ%D^AZcT9?A9vIKiWRuWG3UIIm7epzj1yn; z6!>BM7+dXs&2TK}{j4<28Ey-pKUqIq;zg*7fMxWJ;hyQ`$cr)8(YuljfkrfOIOdm8 zTqlC(g>5Vm=nd!Npo1&&Gs0oY72P6ZRT%x10U@@pMdt|Y$K+l=AxZsQ^)2KKeRw1I zmOpdP!7ML|M`7Qov*3-_16jmAQ1%n&@Vv0C{kOs>V%f0(e3&os!Y?}_qd3og&xpSg zJf%$F3`*?5_l_63)se6Ky?%Jvlrh{kHjp3+qO#516SRvElHuT zQGn43?>E^qZn>*E2l6j$A6vBwJsMbmjL)B>eu&9&^fz1pW$Rgp+wH$~iW0x^)f$=f zq42lS_v>d7+t#0Aei8m^sE79d?Ho_iuV$>3NBko=C&1Ue0?$ZlSy$y4@wK-HpP&2W zgM;Zc&vEaE(!W@1cN+Z3$d9$LyXNRK?PUM35AS(iUp>TqjPv-t6QfD`iafx9Vu0nB zw+!#+ZuHSU!v=|i>EVXT`||O;uuuQhB=BJ0{@E{nBl;_$o4A~qB!0~ADumGLsIKLG z@I2%7nmc9K7}a+Qhe(h7S4HSiVoniwN-gl;pMo!E2y-;Mfj`Y-Q&U@7yYxgur+TUS zd_VP|4`{a=(9~bgsg*ci*w77q|1R^zS0qq5HV|xb61{g)cih9U{=Qi~s+eb(W10dh zxAg*ep}N<@K3VcSm(l+Mw?&(bbjsqs?hZL}-*SXriI`mHUylXQooN6p{R&?S zYQ_G0R%FDVgT7bZ$JaS+Bf7=T0PtWr5V{ugJ{ukFke3EdV#&||dW_fT=DImX{E9om zlw%uhk>B4FaK_8@KD+7l?@5$1_-UI1?T{B^e>nWfAGp^U{$%MByOSin7JniCBK)Bv zy_8E`7JBXqI7X32ZUO=1WjLM}?hPATXxPu)GQwW{LdP@c27}!jd28MPy?&c6!8p9N zi*O%reXy6G&-?GPD4rM9_1xrsYqujs`sMxxpI>ssU*9!c<2^VwMfcX*Bb0acXp;6F z&5NT9zAs~MQE=r{)h8xOdM*EgzR$U=f8c-SSh>>?*EckKgu5mQ2kHr39<*xV0Y*WdqO5PX=wv|1I!#FWz_9DTfjB z3uCjU#dVOmy2=drcbV&q=ln}47P(=BgBKG)PvB2+IWd?n;D6s2&)F%?0iut2BI~|? zjUcSe?rnZOiI#9-0`kb6fd6p>FJUtSB9@JzyO4ui?R=?0c#2cJLtKl|r8 z(YZq{Gd>TGBE~ws1mEora~oIY8S#5R@ zhz*Y0oo(cvhk0LmKEQ(&U&#|ZFXDfBV+M1t&N^3_>*l_OKN)t4HP{zO|HVmXy2-qO zFGJNIlM+CSIS=12&*0R0bS*DTbMx~ogx7=r#5WVD3l<1f?2@(54|6he+AejDp$n*~ zUUADy^sCYzi}{v)z#9jaaw_yn@x!!;CXNF+j)|1q>{qKXzp(yy?4FSv;GgzXgXf~> z;Ei)VOqjRwoBaZ%2Wxl{xUXm>n4951HBbQZ=dmn$m!6j29Z|f8Ld%KDH+jGIu|PE+PA~b8*_gYOxTf49Tq) zgFnW(!Z)7`+YBovx~mS^v^sIEZD6G=TFAvjJ3A1sE#o$!9~U*Dhd)Ko|JZ;2@VaTp z#wk4a9^8vk(TAK6(ED#orf_x6<6IQJN{s-?b#JPjMwX4KUFuH^(LQR-SHiivJ%+yE z8uuQ)nu7?%ya->#!foMn4zf~8nJfwx5L$uZ8Y9OzTb)lwrV`n~$?EE5rE(A-dL`eBdUbtcE`xi1atHGJ zY%8i&R_51yaDD~rQQ%DS+wX;WpMA0D!#E_x7>jA+^qF4Tk5~@#ey6VzuWXH^<9}Cm zUXu^~1vu(TZSNcD2`KF#`T3d^;9qKvFXReun#c=A%=_ZUw{}&I8}v%9J)80pJPPJ- zy>}zVG))A*gzuv%Z4zl4>$L;!8sSL%ouWRRdbkH7IP<)Hn$Dd?afInQ;?j7Fa4f%? zfnL2TO|op@k6&K`&fxGY%4J`>O}yq3!52E-*}QjcREt zewirDFHGxb4gZ+*X*>E;33*{Ts!soPc{-DveJ*QBg6t`O#QgH#vnNOP^+fLFjmt-0 zJ3Kd>8#t3^O0%wcESgs0bx;m`OTLGO?Tn#_<|yRB{IbmQUE0@kI#JvifCZNa(Gq^2 zVSZsP)tHB>bYwD9JUc~snKcb5aQ?eSga@Bi`n~l7$n|Dd4d{D8g;XWq!Q-@GuY+_-D z0O@sZwIt67A9iz?=q9lq7UjPlMPCw9i+9E)={?3C{A7G@d*MBSbpEIfDPGC}{w+!G zj}-%nYr_gKzwlZtArJ2t-beZC{L&{QLwN*i?it|@?6RkY_~SqREraYiP|(_2@0snu zy9i#m{`L=D=n-f{tG;p&9`Cr>S?W`(+vI{=Wbf-3~I)ldG|5&?LI7qa)wBrE9ZWO<}iK2 zmAkVcQ@Am0Puwwb4|B35UWctJkt#ma?U?uZULIS~pWvz=>H4!H;g)i3&o|}iCUDxr z!RL`am<3M6HqqJLqC}5zgkGr}(|q-BpN^&mt)bL|pZqKLjYHp$XJeypDBVF_K#L#H zC(eP`pM%sFfaisCt23)4P^T5PR#Tzxi;w3?H$sTsqssq6bwBy4guVwik0V~k-$@1M z%9b5u*9?#CAv4mXC-=!O0aSziI@piFwF?kqkztvA9a=6 zS38qI4|><~=q(2p;c$-ty2d=V{5&JJ^IyX#l8bNr;D=!x^Lg+tkgxLmAxZPvbuA<{ zUZrDXzkdYJDf3&#A54-y?hUqq(pzEmb1&jgw-56B(id7?-z2CoIj_YTO5aUdt$PVb#KC-{Bg_{?_Gy0( zA%8YfzRgfS2>kpv+Vw9v55Et7%?BqH7+#AdR<$MeNj`<2pKY!AuRMsadF>h_zt4NM zGmbP6K^uyi}Kd=wTzwo`H*$;W5|ouc69=l2J@UKGLlbQ;Yt^= zW}33uh8R=38T;tjQ78;N?5yw4TF5=)zV*de_$_%p`z6mX{x<${nBHqTHoYp>`AS$Ht8PW+3(q!vDISL_8i}YJxj+0%K<|6`A4DDR@Vx9WzN_r)i2ri=27+c{|e>aHw3 zk7L}#@6+RE3hl+$W!ql~I>+6*YglheoSve6>ewguVr(J$D_O?%!#~YL}bX` zAmU}N`I&WQ%==F`FP#>w?|Jg01;9Rk_WNvvgD}{gxZm9Vww-V`=atPOv_w|kccp{o zAU8y7ui0Pdml7k>4f7oXa{d=V_8gcm) z%gu)0^7`33UrcaMrGZ=|i~bkTpZi`7@uyAfpGD!Tu5QB}UCW6Aq(h)XQk~huec=2qXEC8!^N&tL!m5qyetpb|FektseiDB0H-ZPtoSo<#gR$md zg)M2sn9q8*!OhJ?^7n5q^(VeAGTg8JWUDK6;fs2evf8VMeZj)-0YJLyta@zoP{POd z`P_^Edd{3I+{bwBRpnKf>=C!^un}fgx z0NIbheQ1IP)+ldEz#6s&bkA5WlmX`kTa+JX_&d<bIDq)62owxHg!$re@jC ze)J{@fkE%j2KJOw?Z&%H|K01-;K8;W?NkYQ9(fPF=|DReh=n|r^d}>~-K7G+6kGH4 zK9(1uyzv1(WW}6~yE_yx-#6=LuibNz*(5{FdCK)^{v;N^B?qZ+t1% zKyAPqKZ?Go;qW2Ing{-5=A_N50xk}GQ`a!R@MHLErmf^fb_Apn_fX94?y0}erT)Zg zI=5$z)Qk%`D^yVKn{}e{tp0N%oEHD&LH+vBBjtMzUm3@r{&YeQG@nmry!5@Cn?%6ZxqkR6ki>?tzZY#laqf>rQ6yaE z{gK2zs4#F}MON?uZydO!@pcZv<1PfRq%{M0HhUAtrQgg5B(^)1uINhK6Z-Qe2gx11 zYcQGGG7!Y8EAiLuYxKnh-B@{H$~TF$UJBCgng4NNCgxP8DSy=kxf{Ok^hnd(c*S^{ z$8nVui}+d{7e@&{umrfrXvwRYI9~f?+uO(Mp6Ql{_Iq@W(|u#Cwe}|9&yPcSvw@t0)`%pzWg zm9uxDg8-h?yNrGmzQ?zYq?5P~f4}0Uk)COA)TBqLwhy7z>O+0#i}Ly3g#ODvkWvBa zudDC@d65US6^>`nw)ddB)KK_q?v_${SB zvr=*Ya_KPouf^UW9PpX;0}LK)Z~h_-NY~G2yEB0bR&RRcP!enwa^Jsh zV*pv6nZicH6UeXeIy(k_OYB28=S)z)_Y&kQ*~U@_IVxO<`?1b z*#&A2ZCx+I+qHi*^h&XVbc-Y#*u-t2N6$OzfhyN~Mt$D)#ra71Hu$fG-s%Hw5UBkF zGrMTtrImyHe70_bf0+4!1KnsS02L4aOrc#|TXHu+&a-B51?CHUoS6|R+M@vf7{}UT z;X{=DHu#qEJ+!kB$4j4o9VL16?hcvKAAA~lG4a8jh|^wXe-FCJSe`B8X$mj6u9YN? zF;qofjDJp>gEHug-#FovZDgNio2fqh{?PX^5BVZ@TZwrJUw$&epM27jdi{NP{!`5R zYzuplk9_5usI$?R;D=%G&Dv=Fc`S_(e@x8E8|EX|{ANZ_HgmWy50?D*knb{OFWh~3 z290E)?nme^%;nxai4d>&`sAyT#O`Kq@T-LD?m0%e2lt1NEBsSapjQeH5%UW_r^B`* z4}-NFn!(L?3?gc0D|70NlBxR7z3?D;>}&W7cXrQeN9DtfFHg8Ov>1wfEBoopVkesW zEXC}?^CBOM1M)8de8@N418@WSzU-|Z4HaFW1fCb^=M4dWh4BlR_i@V~a(73Nas!}O zvj1&M1^720zYoCkB03wM7x7K63Dw+WCo8&s0s_+Mal|%?CGdaAJbp6Uux)1${QS}f zyA%D$EO^1sFMY=LMdm&5k`G6_iVywq1RIigxoWt+}<>Z&}Y<{KRK!1`=^65%J<7p>xbO1A{w!j9U}BV;=9uoKNFMy|!vyU$o_E)9Z2UxAisreGMrckI&kNVM z9at8pb3%2TpA3S*&z1R>^=d=^TUVmyK4u^ zsu3g{Bygj+clJby5aCG1xS$`C`$yr2*_;SK^UEQ^5&MY!z2KQc!e!3d1wX&?&cM@c zgPU}7Tj7y5YLrUi^RxD(9aVACb@ZpFCjp>8??`K8P$*9rlE=m&UkSA-_0cgWl6qJF zDDev{0!LYN^WJ%;MXk;i-XmwXn_t)^{Ul$|<9rMWUnwh;Bq#P8`1~(X$PB$w^49BO zDT9NlnD^PHbD#$DSLvXqBmXWka8HDn!2B|UFOo-X2R$gj1p_M$&RoVQP?4GtvpBs)jaYUE8kGcz;?+W4O8MAPj>huwNAgB%zb z)YY39W1i=X{TS+^tNzi2_W)j!L zWGo1mUf-s8Zds>onSaM{kMt~yt?<67FZRjIZ~Mwq^_2vFa^eEtY)9=YonM~PS-^Ud zpnHKE&|hFr{3<4j_*&W?`+DK7{Bqs!uhZ;pG?-2aSO%W@*ayLeLv@YYE_=*9G z4?5AUT}XO93DR8L3FY&z?2w?`)plVNvJn^i5$NM%-TOr-E#ktFBr6I5z>;%njB&lT zFI{=>^>YkkP?l{@)BNbe09t_hXb1R&C2uqEjk)O3aczr(uEpnmSz)&&h zy~V3$xG!?QJoFnE(Ac#Hj5 zzaKp<@bh<@Fl2p)sou(K99_))Ll0*GYVnrLbr65SBm2qp;V6m=8+D~N-%tDfv?W!1 zMr%7JlHdw_3Qc7!3V*+wqWR=Hk-{^2`(>K=Rz|~jEPsyS;PoNLH2nwoXW{3x4u@Vh zA5YNGEb)0vvyP{u%uhMsK}ao6sbU{T4OXIQewMY&ZzGWZ>4X6x9_ONPlMlc@1~6Jy zP$tFmi)~vlrTZnk9)vvdK*YoMtom$t-Z?$iofz}m@vR;4_NH5AmgsushWGD$ z#*WR5l+Ukc-c8NTl#Qgl_%R<`<|928j=0A$f6Z=W@qa?El>8$8oZC@nk~t%Ub^s&) zVL}G^aqjK?7#hU|FC%<4kB)gw{JpOil=-fvT~EwOBqJUW$FUdZ(H zRA1UQf91XBI|?TwpkW2&Mj+pc)`_;8G4Bh<;`=D^d*@>RD1Cs~C*P=pz(chd-KY2P zqy5~^{3(XG7CHNLD8X*n^_gvFVmt4~ioue5X@5Uf^*hY_(u+JGO!t0JQ_DAHHzgKQ;IABj2@w$7LRiNq?tp{mtrOz89@6Y3|#Q5t2 zb;}ag68Gl+k}kcq*Pl4+J)tr5A^slXd6DxP{vNnAr){$fS0BMSi|B1xRg#D))Mem@ zal-4Zf|rGUK_Q+y^83tPvAyp_Y`bpbG3m~9)%=;+9`=eF7@+Q6mw*zzImEXX{MxkE8 zf=onpX0I7I3Hl4?;=hd7K5OU>(hoJTm|Hf@T5}--W0aGUmqAB%pjc{ruHk&}dFUb& zcoBIgn9y=CW^6<7xmkZd{n>~Pn(nT91@t9VXJG|A0_MW@9^oSW$A#!&TD1Ol?YxDN z)U^3i%x%C#t)Yk1BZgS=Q!TQo_)w=Mju zW8iRu&vOj=i{xTgbyEKL*&uqybI0OXVjTFwS_#B**lYBya9lUAoS|@}(57IoCb{XR zR_d=U7)QKLpYgwRU)C#%< z1CbiWPy&O7R>7al=RNjg?mWk0PM3YkQS>7tzIFIrlydGyz(0om(S1K)&g9;a4~5DF zK4>p|4+rd-#V3LLnDpef4-|fW=%Oy#hug)0_TytZdn-%#{m8%k!ZqEA#ajvb^;j7t_vf$w` zw2fn7R%M`A4;~U_?vH|tP2x9px@dfmK_6ODvk)8wggUWqr(irvA zl=s!VULEws^1^joxZGDOUqHn|PcCLDFp~3WV=H^MuqvsVBP;Dmh%b1JZ|_eItn*>s z7vJ;r^2$Fvl%RfuB~HYBOecp#5o7AFV}6kykBj*xfeR=fMJvzc`A`}G|HkmsF?5BK zy~)T)a$W*`uX2C87^FRb%VVXNuS1;#V*A`moF}q(sAUM0!O26xQ-EBkbn6w^`9Hty$E61E92vfjQ9b=!Bb)$_zoNK zwN(yHSHI8(@WwgE_AW&Cfzfy`$pMgOBrfnVj4E@n?0RsL!Ewp@1bzRmSBZ*mljtaP zz5DGf#2D?JU&c_!O{}bf2m85Hjh2{Sgqw^!vh>ZK??q@a9rYgmu_1F1^!heZd})OX zGUxze4|%)q8SSaCmtKgj2a(4>ZZOf^ySNVr`>_jLq}_$&+-rpV3w$+0USx^=ujMap zk~W`wWo5y#~(*OPr@-MRg^&r$b_;kw|FWh10hSuUs`xUvTN2}k=Y=b|K z_9JI&-vIb~6?g$OI#~H!4gKgF26XQFWW;|}vv{98!;TX0xD+~qZ_fRa*e8F!6nMyO ze>7djIMDk`+{Xmqc*}6Uw(wqr=1aczp;xHGZm}biBB9Ie{D?ks?v=|PAso^tRybcS zq1YU}@k3Mb340gkk>`z}-IDk4rGGg8hd;0MIVOhFZRGmAZ)J+kf9={G-Ank}(qiaw zv*FJZpJQE5Ie)A8`s@Dqw4?H#|5u*4ez2%8LH*^sz#C^ij$afp*0riL=6=pC4$m{< z$FxCz1q{0>=@}+9eQOT`;*$EUxx1;$X7B( zVXdbj{@6}F3RND_Oe^i5Z5Acmm$Xyq+B13~$4D>7iZsn*Uk9&(_xVL$^iwbuCA}#! z@?L_z&;3NcFKp!d`{S~7I_B*M@b2q3^R^?inNduhI{_Bp+I?d@>zo+xCEBKFkyB$I#;t)G=E3 z^}&&%D-GU;e5@Sc_YA-8H!rcLD!gdGds3cz_>*OCh&(dt8GgHcs|)d3Yk|c<&-;3l zC8vq5d-|b#aD}5zsoE3QAyGJ%A6ph0_JMSVZXkZrQjx+%kkhktpWM+!doPd^=)kYN z9g+0Ftp4**<=aN`NYG>QInJ@%N9NtDcQCKxfjWVC2{mx5YvDd7`y=Nx`Y#g+-;5B+ zD@TE+BwXqj(Dyl4=HW~Iu@9e{j`;=l>yUNf#Qv$<;CgcH&L`ye#Xk~iOI+JME(U$C zh=cC`2KoIG8wM=f;ZGd%%FA(7p6XBKwO8qjL;?+|X_M3F-$qPwW^5FJiqxSd&Kaok zNDAed2HXSIBSw4e-Tfr5T(d$fy*RPC#@9F}#&HlIeXo3->Q^CHbXK3-Sml;~lRz&Z zGydWhrv3%YF9pv5eyS3t{Lo0uFKnR1yu|ft>kHs7mY{dG;W4`#{QO8$flw8o`KJ!h zE1CCsxX8%$YO^aXN30>Dd0FChLJR1fnsaj|;K6&GyBi|=t9RJ1F}G&CO}>#F3;cI- zZ!5A8KW=R-Nx~idVQDhu9ziqvINbZ$e;OU5_t|QLq{pU?b20(1c)5Hy_{pdt`@Lds zLdvk*7~g2QS67E#Srvfkvq{^;( z5B~78Q;5s z-pXH_`2>Aw_-)sJmusZ|CMHw&W#@ybA!4D9U!d=m&%fKBjpXSf-SzyaQ=NvuV0-^O z_~v{;9PdIozz4)b-yg;RpnBlxbDx0gZSxK_EtSVcQgvRC-1kx56MQtRU!7iy`Gx%h z-EdC;sNLB&jckV@(Qp#|am?*nnL*Xy-g?w&EX}~$blfyw@qgWeJ}LXh{BXL0b#qWq z7M0^bPz3lov$COaCL=Y@HkxsJ*|Em=Xn7YhOtH81(rNphjn zIz=fb+$*Y>V}jmV1Weoc#V7}8o*(UjJeTc=^Mj4(4?|TCXxf?BHuy*LU|NsAmAFbY|iyqbUn_R`(qHWvu3X1U7UG)ZeXWy}Yt|{5lD~zK$lpSJkhk9(6hptU9Q+PG9Nu?>N6s~E z55EaiKl-Cy%86_it@o;`W2gy?K_z{lBNuUV;(gV7`a*}~91Hfj%^6ToeXu@fx1rse9YHB;h?>ByCxIM2n`N)l^oJeuT;9cH>zRNS&8bS_^QyX}O{`iXy}j0z$B#<(|?FT6m1rxe)&jJ-k+`@|UW366ku1(*4oL#{tJFj@k>A3cn>Vz7_sX zphnDLo#{kO!?|wwrgil6#rpTOLm=9oWQ{+w1y11~5k^b!wIiVDVT!PtRUcW!NE$a<{%nlIQp- z&JVtC2H_sV^QMmuUG#j1{=)p0h_;iJ7kk`| zu5bI6au82RX@)21xMtvk@OoS$E~@VczFFlm-49@e8@RNRQpmxQ}gT;Pg-M zb91lL?3+gVgIpu!{x>HZz3SsC<%alXPfK=M0xT#E0VDIv6XVf$X2 zCZf-c^~*fuUwFR7^TONgW23ER510I=r=*J9{GaC4wXU%DJXt$4AIIYRPg zpNkCSyHc@{t|UG5^KC@;3WHvm$abV<;K6e5(Vro-hym@(1E{ zgrC;t8Ve$Izj+mWIWczKH1IkNk`4 zWa4A@nN?Rh%zcaC!!*Y|BpUuP#!oL8Tqyqc@%vKfFx#%nMAGYMyutB3V$90ocX8SS zi|3wWL~|EJ(FVSb`ew>L?=yIS%p?24Dqed@cX|-l-ThEHPW`SgOX|E>6a2O5NDk&? zkZ}1+g=F>SzS!?h4eE!`#eQgxf1aC`P|Q0~qP0Czp2xt*TSk0&eIltpzj&AUP)l53=ikeu1AAwdaq`9N5raerW_D)R;p)1G@PM!k(E*n%Hj-ewgbff=;=Lo|-H`bpQhSO2(_cGq2A433M z1xENmcwRVn)Fd*MlG(`I){}s}|2=ArKQWe|#w|yE-!3RmEX(~@HjyqOp4|V06R{in zEb{wE$6WXeej}M{f6X_n>yE^}oPVDsZT&Q7Y86X@Ip2$3a0ZJ!??j=_a8`W?qV@dZ zy&Ow6j7RAUza`hQ!Ead|?Q}=83`rk6{Fc{;VpG-3O7HE^U-IC7J##<3*ax3&7!P<1 zeoNT6hK2tdpnKH@gS4k?${WMDq*ps#)dzduh8TzZ#}@c$@O8ZOi!%vk41Smf92mj* z^c(Ze!MA05%Wv>UROOh>D~sk>zDbf^iy!7E3&$`t8h;<_wQX_eOXB_>`$59(aCJ>q z|G>yV`kl`q%rCeE540K_t$O&zNIHOfuh-oS8qGPJf9@ISGlnm$KCX48E5c{Xb3gKx z($}ycQ2JR;*t^Pmw0oL^i7uv7yjkq@T0;UBmq;pRb~K zjDh%HMN%pbke|Ly6aGVPqj=$L&WyFtbSx6*?L__$J)(6cW)f~EJy#`ViQnKwy?E_8 zyX!$7ya4MGN1t~9L}zO)KIa-ZUsqiyv-sY7@COAHnPWHyI3gatU-n63evuxW68>~c zio8CXDSZEqawo}6)T}P^{KN}c>bsiYqW-a`$e}S9t}b}`Vm!QIq_2ERBw5%W{lrJO z9mkL#=GVC0>P)>?e;q(e5o~)Glt!)n;EcW)LhbNZ?0WDntk68tdMqU{_W<(?^FGeN zFDALiQ{mEUc@=v)8JAoNjL6qvw#2o}>lUX{U?fPAKAzMWct*Mh-UVdt7Ox%kzKD6B zd3HDIC(;%MV%~PrerxD2z_;K1!vp7xT!g@9;|m)2W2I3$8PU>DxqWuA+V6T9I(>Wm ziK}%cOaW`Ms{~UJbNiphQa|qP2}sbMZ0|6+M_1Wtv}XeMv(}#*eJtu=CHc6s*vl=! zT4Z-oI<4h?`>XINA$JpY47@&mk70gk$}gZEgNSXn2ZP@j?kjga;;LLL%rA_ou6r_F z{W3?K_4BPCsyX;S!Kq%zgtZ%{2N#7*4Ajq6mz<2bgZl@*>`mM&Q7tN(Sj|iRFOonE=L5 zR`{lM#J+|BB@eub$K=}=1L+C$nhDU6K9s;se20VP1u`d-VeQS;@+!D{o+;6nFsylEP{zw@NXQnGgqQ}by@`AQ@syaBzydoE|PQITp@``dz1yBh&AT`b5&vdC_(J=0{^Lfb`U`>r=-qDvCdFr^Q6w+)ONMIB>NNKB ztnZCNKQeP!cKgzJHjv!Jc><2g)`#$qAs=}gz8voJ*xvuHkv-u8TLNA&;q~5B-Qy*C zD&MruFk+lh#z#lxL;g`-=bGk;RGtCucb%vs>?N&+MQPt1o*T_o=b8Kz|2iB0#U37V z>VYsqQfIk3zbI+zYt6u&ogkV1p%*qO&irrZ$$v4tBi+O)6&!0yuBr&9hNyK)^ z>5Y+eBWkZ zPT)S(lFjcI?_nG$&ITKK>;Z(&-*m9%fUJXvkKOiz;8S3K$V~_J<;|O{xx}+wiPtz4 z&=)5>_SK2n@90%%+;~y-E=7Bsp_58~^T;&f`Z7Dr@zQU;5c(4K2wg9OV**>w-c^~Z zdr!mjg8R+Rui|MF*2;Hoc!+*m)HF`{b}rZ_<25?ADRNHO;~&O;O!_FwH{4E{|y%mdb!a5>v_y0eLg2r{h-@# znni5L8yZQ=xaeb+4-Lk9;55GPl5=R6Nt`RWhx-`6r&jjHIf{DT=kUWcMSVxz>F94~ zzQYaVky&rF_|n-172Wn=4=uO@@L-z&AmE#uNh77my}-zi$H`WEZrxHfzh2!_?;|nA z`F-#$qaXOhrUjJO?@4Zg@CQmQfRC!;nDS?H;W9U}ac;8GZ z;F` z&^9!uZ*sci>EC?kta_sj_?w3>?Ty0x(w*1*%kqunlLNvj0C*1ftMJ3HuLt@I_Ym~& zn@mp-<9+XkUSSjl)(wfFL0kTAT?0KD!jo*4tiAxuFXGR84Sq84f#sdRy8u4=ui25p zC)x~MvYNcG(JzL2=FB7Zs=GhTpka)Iiu2Z9gSbFqE@AHTF1il|4_5pSohGZFuTEFt z?sch7Eol@0b(GoNw1OioilKu6(@gZMOLq`xn+m5nQHy zbCL6kLSdnAB=VaW5Ia|k*ItQJ9&#>Z*Nmg7Jnk;uMH=$1u$YPcS6? zUT;H*V;K)dAuqm2?}*Lll2$1t9L|1Y>-@ErXzfX1;QqvRmsTA?}FMMm;8 ztKd%tKGSD~jqc^=q$^Klp0nNuYKKx4zK87(pmfyZg zOs1>vPv!pa%dVmW{!uAa`x`BoUzoc)NPEk=pGeU@yGD_cdrj++rn-+qy!Jo_gHM3# zWSy;gzjlFc!pCZl*epWp_Vb1{fnQa6y8iZ|veuV=oBBCZ`D80HX(ks0bw^JF=O;#`DQ_6_ z3!m3ze#xK^jG5_8#%lg*sxS4#aX$lonmt!a+%CB*Tzo0@!F3WJ^r!+O`6uX=+(&+O zb}F6a#c6*}y2ZA?T=XTe0R{65->)2}lqaVB^o2iM@-&$DSs!_WxtlqO|4@|b3zToR zA`n~+{^U~ppf>SSE)woz(m#APlteD9(wXXWFvvbw_MN{!L;eLkgxJ6Y^}i1a)BE=} zqt8i`Fp?VZXe)XHnc|3Nl;&SCzsSC4WVYeQ`^E7z?NP1@|2zxnT?T31ANyp+sjj`| zs(sBiWr?xBS37_D6i*PfubMZdH z8oUF(KkPQFvn-3ov#xF8sR?lN*D87v=ZJTXjMLtQN!G+RsAmZ=a<4qr0{Vvp^>PjK zaHHmfZ^XsbpM#0NrVo2ypERgL_iJ5CC@*53yWa1es|ydL?0;DV`uL&z-7d1vh-n)` zQ+W}QJVx)IDYs2)^v!zbMpCzD2tIcnLM|KtXqZJ&JsOq#wjh(f;l=2v0OP%C_hZ{`G1k5vD{XHqjzpxxVDonZjw+(UK z)fDW@_VdB9(28u4%YHW!^AZ+mP2Z=hj^UqcSho(w^YY-)%jBgFfpiKr6vtf#(Se@- zqCoJCX}Ovc$gawnyJe%ix{2tC=X<~$^uO>v9sS7s+MD__`uHRma@|PJ#prPDBfM%+ zA7YCn3g^M5buvlMZGeTw!+85_e2j4XW|tl$J;qPlC#zqt5AI_;H{w3V@5yV8!GYx7 zrq*L?}g=T;5rr}y=@nlA^!qh=*hD&>L(uJOO;TwGH`gN_PED|Q)?FPe#DKe0{e<6KA8|IlB_IYskp0!iQ2P$y!0L5uR} zNn!w|U6kg459XRCk%>vo&P7uj-e={b?-gs*WrgT@;QY$>q2zO^?~6KzJ86H_A3<~k z<3ht7vD5}Y$C}{tBL@0YFZjpAkJ!r)RJtMUvqLpkR?muF4d2x^utJpZnQlX`lpJpF z9K&<}2fRn{>6Tf1B|z^*hrN`qaiPet&Cw^+l^Sw@vA&J``|^gOk8eLFf&^z819|Hr z{FWSZ@xi=rBR{A-Gmec{@WZs_VDTB`LmESnuLn+F&{y3iw@g-^+8~SeheO|&-pfL8 zX^<12(>z%|-~T!V7Uze0(N2uZpX)^v;|Oz7;U5J5XDs{~k{|o>o)O)1rM>KL8iC^{ zy$r*>l`Am{z8dEEUhAU0>D~^qFYVlTGV%33_=Fo};TYL>Ek*Rm`OOlk?ug{jzG-(2 z`-dJaOwqoN=MmD6ILj$bIE`NLkHO7Yr}sA&?G2d>@3G3?^<(ZQR>W z-%~?AtH0FVoun^pgq_S?p}7As)+#m5MRe~sxUWc$)H*yLVr;l+SPlq@gr6U4yWf8D zAq(sy`IyhY!v!D`z6jhR8#ylj2Sp`P!OI>Z%U(`KS_MAUd@T4c_P(V4>pT6Zl#tBE| zYrvl@-1=P!Q~|N4B479|x&OQjauPT==G#W;{-*@`x6v-T>O!<~CC&~Np6E$DFQQ{X z-yhD#iSwOE^3Zr*q_<;NEID&;aF+yPER;*LFzqiLXv7CR;|Bc6vRJp$^Qu~u`bmCA zUQEulYlgosg)7rk563>Z1pjr>OZuFwY~C3AdS~yOWv+zQs_z#4U_*>uA^4N6dGRvQ znU-)2@mYwT$1?+{x9s`h@8NvY&~OUp3w5?d{PBC6qX%hWjewuMlc@)KzU|h~epYq2Edx)9gLQWz#CQBFo)_uG_#3>wsTimRTBv&;G}26ql3vOOnA0Z> z$XVYT&kOs0V@t%-=ftf;7ys%(jECItaXh^Y1^~9Kwfdeb;e26z^zRJiP{Yu~`?~)4 zb>#lPGFW*GL4LH7Uvwuwn7<6!HQ0GhUckQWl?^5%%=?xPHDf#4lGO8sr_v(m00qILA{)3f^Y^Gz%R!C z`kqq_87`;??@~G3&?`9)?h+;UgWb?8g>ByqDTzBR**VdFfP*7kF!&m5=lyME4iF1L!I9vRYl29NO<`;mS`b;XybyY)AG1 z=YsFG>yo7xZD0!elGdT2eR2%BGk3JvAmX~w0Iy`i+HBcBLEw!uchJ5!^=tzL*#qY< z1J0*oKgxNuLm4z(1kFOTn+rzs?e%>RALft1V9uHAt$ow81F1g7t;TI!sR_95ZDu&o z78J}p>^qq%GOymLtMVkQQfUL?RgRq#B}dsQ>#mV~&FK_E`+!Z^j}f##GjH*+{@VYt zw^qFD$IC;nl=bN*@E5;)R8%bm{zIe;9!<_te**MMna`kCO3#UNoW2J~Sc{+H-hde8 zPB_3H%ym`x!OpgRMU z-50qi?zyP&AcU}`_|X-gx77Nz9ZMDt%+2q%%QJsfbwUwiNVb=33!M0w>6f&UiCfw)ypWXpPY z>nMT@_9`Fw7s+Sl;e0{wM}-&BR2%g|7m*iRf(u(E_>=kAsC^#&!yOM5U8vo;cs~+M zYf*O-0sV#Z@y$aM)K`Xlr4t7)HXF^wfJY`hql>Jh7wkFo9?mm#dXr9|nBoM^Gb}fI zo=GF%aR*<*ynmkg_gx3kYz~^e!1Kb3${ViA^P;lK>%qJ)d78b>#I5dMJjMBfdY7VH zNqp}+cO_E|E-?MxA~~r4&5NO=nJ6gg4u3ND_Y6xW zsacN*R3A0=V{j$K{oE7$Pwtt$9!Y<-?9*;A@*3jL{PCUwbp}rk7w6Dn=u2Ym?3_ZwcHs%o zUu0k2B9gdH`{$4}%D`Kpa<6##eKgfD)kx3%8WGtf_f>sg=n#rv=YdFC?KelwP3Dt8L=zRc~IU&Nm#%mYt&4FGizQQc@84D2Zwh^82aU{J3F8sf?Lns;eyx2Nf!h5=n zoTcPd!=Ve{ytJB|CO*y*nD@uY z$By4IY^Q(R6aC0vBk)YAssmN>R6cm3zv|7~9H|cn(|pRSFY$*2YFQHwUUCv0`$35) zc6OFMYCYXar-=uM0Y<7o~sNP*=8p4rDwo{<+<(B zi2&-!uZ3T{2&XVMA4P`OI#2t$(s9n!1lbT{rIvS3r!i8r;jHesj)r}}m`3zda2;7AhsEPyNW=!W+z{selk00C_=NoY^$4dI-0L_E zJsbiayJO_sX=p3?_-CzC)tCC(gU+Kjt3oe-f=m0xP4Hk>aJ_vs=KTiO1aF%!t)~YHl7z53-G)M2k>+d?c|HZ z+F0Gopw9xY-v()RVZ?I0Z71;h7$5{+0OM4?gx^y9pqQIL-R!vhXu9@@;hxObjJ2!M zXdi6s72vlNAIKgrnqdpWw(}b!x+3%!;b?iz7@Wmxr7`%Q1aQPu4!AwQh3X90h)IUFItlBv9a;eIR*(|63_?en51J=uZDf)OiO~ zbvE4|u%OsQvBlVX1C3Zf_oxAll_FA&bWl17C`At(&=^f(i@n!3#;CEy9%DE5O0go? zdnM7Rcg+m<-u(A|Ut-~$y`N`ht@T?kH=_TAb9i5v2%+GiUGtOmJ!Zf^#(by=y7%mg z=fx3Rw_2lei08jQ;bUh1`47wBw`4=bE%d$C{LB7$ z><#V)t-Six)DU8KB|L|h z*grHUTKfdQxnanDYIHO$pMx9AOm7mK49*qyiIsPN|AvE-H3Nk+unIcU32;e^6T+w+ z1l2lI;fG;?WJ3&93XSn7EelorfGai6%$pRL5eMnoZaR8rR_;o|=wKvBKei-&K<;Bq< z=KOf(8_Xvehw5gr%j{d@C94G7+uL^~nS z$AS;z!$mD$MySr=Z)kqxX1MU+zw2U21DhgH0A9d41_HnjGh~hjNacCPH{2ujhl$3s zaCbkDOpvRn#8Y`>RZ5Ll{XhiDbE5HlUi@jTIn9tP^?_!A*T?fiX_)4S7a^Ai{(hhp z^vZwGPc|l!O4*nF7=5qIaqg0)=ftFRy)VbO(QGcPLtae!voJR`1+ZzVGxUAtM!N>- zIr#y7e7GOq10ROR+?U`3alY3xEt^J3QBSeKamDCS=zC>jJb3XpQKQp;ApFUwCLyuzA|gsh3L)7+`V1S-DDQGw3erg+syf5#Q=pcMMSd8~V)1AgQz5 zA0_vQ;mB9YJo^Z~7UrwLpNw`MpCwb`wYSmDEOXRxe1AC(Pyin@`^|p%!<{w_EJ~aE zVLX9WhJ(aPdqY|!>Ks-MJxdJA?{(GS{_nZ*W|FyVV+h$YE-}-exL$dEEk#k3AenZw{Xc5 z^kl-A-*Yr1HiF zppP&gVtxIOg!Qs883{a~m+vV4T@v0~AWj2Gf*=%bul9Q?4% z|FtvEz|`{1=F=vUKI5l>+G9|EBr)c@B&gI7UPcM}wviX<@XlIt>+#@?b1v)DbO-H) z2Tw`3{^}AGybGgT61hzTK_o9#ktxIetaR(yKTFXd?8JrTvlDWj^t+81k1O&~-!j`}xrn z&tQ~hK9UpNUpq(o5iHIk|I8SfAoRq6<2w@fbm1w%AILKBA?)e-W9aJ`t9{@zd}Ti$ zw+Fod;3a(kf9(FIRwai^Fu#dWAN#RJ12-PU^TNGH6SrlmuhPYXpz_>)b}T^m7$@6P zaXcHyZ0O^#wqGBF{&KhDld)6B;CTV2JQ;g2{@ORW7N1l z1z<05h<=Kb+$Kc#!QQ{+d(ZQs-ga4AnSGfbZ1lcG36fgd; zpGTUtmm?niMJPJyPzt^!7cu{W-V^9k%^!?cpTTG=xyN>Ugt^uIO8Hr(*;Em=H7!Ty z8H_vp<{Pu>Km$XRYh1yf__~O)Y6CIy1Gd+`*4*Z!+Ts`4-Z6)yM$zo3dc0$zatgrD z6`%Hr>jtk0NBBl7H)V`B?PebDZRDPLP^yHSB=bG01PY&E)c_Oi<9^TBFsg$&B4cj0 za(~S+^d)45HRXJjC)EV|W8Oozi;2*0sCYE9Q2+DKEK>gTmtD^DW1iBj5&(nPd^O9ANY4S z(FIcbq=`>tan*G45fjYh==$Caz%c@ci#k5S_PI%#F1kjVvo z{ymjUJQleJV4uPKxY6;-WyLwcy|X4C^lCGfrX-oh;x*W2rMu>9AC52commmr?0x*0 zAUbXZd|wN(HY{G7XRyw`Eg3!&4jg)iP(3zib@UhCO7&)+4e9G{>7qT2^}$bWb$n^< zemT;QnYhqVdyjjA130Z;;9c-^v=95HA^GCmXevQ(K+_a&oiAUQN&3TZE-&X|xmtnJ zXSA&!I5<2h#)qj7WX!*yk_9eGJD%>6|3F|IccX zD!nXEupi_3{a&D<`&sz;Jp;VnjlN((-we6?v=a8$HDM^tz&=^@&4yPE##Pj~Z=xz3 zkh~s9~rx$o$S=8^)GooRuyKh5JJ`h;wMOdvjr=8J z5ZZJPBF1q$;(U=fcT?oi8HCdyT6zxuosz9QwZSEZ_;=pbp%vI0$2T<7N(R68@X|Rs zFo?L$F6V7;?ZJCdmm2?Ww>-O6F2Qa5>J0iUcx_MEkBOdLkg8mbQ+JHX$f=x$?hkyW z&BcXL;#2&$JoFcS?_EyT`$3$W_KSPRtG~WQ*}Z094te8iv<>sVh{SCdnxgogu>FQ1_TJ;r_kk5!c*TN%)D^kjDeA?NtvC^+n$ZAdXw7RPCTXA72~wjiaAB z7;BE_-`Nvl1lQ9)qSu=Pt+*e(h7HlvyU_RumsUvUM4AzO|HCiXk3C0i%=FWV1l9V- zQ?blJG&2Bk~`puJfHF+RD})>87~ z?T5#U&OV`DHc9RG^gIJ@uCQM#Wf9xZhgJ_#PG`%J%4xg&&JcfR7iaBFKWR;ivF3A+ zNB_&wBln8OIgt1&3$agTe_L)Ky+Lfwe&99Z5DPp-k;;ev$Bo!-mcIe>K64m1rjunH zn$aLHoRg?Ik6t5*|L64(@Gf9y`xFpFo!B2(=t{yB?3bWD^4ZaJ()pG3;oIP; zF!v$9#E|(R7(6Asd>%j-Z_eZYa`48vFlSeg_DyzmQqE|9JK3kS^Ufu<4Yo+_qq&1O z8FZ8jnUL?hgf*j2uVSfB3m6JtE!X{`Hw9mJ@ABY2%08h=3S~~jhJUr2>c|u0iC>eK z2Espvz@gnx__@FZYf(Oha`=5w;!d5AEAVzg9}MKyqF=0t&tdQAM44|l_&~Q1V`9F+ zzO$Y1Ki+Uf6V;Ot^|gKQCnp9HSGUl9>)%~y*K9mcyKF^gbOsNab4HPm94Q5HUvo|H z9(mtYK8D1X9DK`=9)^}NbRXD;=!QO`Yfc1bK)6eXz`bDo-yd@*)=sChP4tBOAWFjM z_^O9b)|^IfIP(7f9b%PR=@-v=gauJ1j(ub5NutG)CiO}5rPz76ohh(D%( zfia6QbWw@4kH5$V{irEwfezhFB#EbP3MXKO3;K-hr5wH^!IB60ejEIlSYOw#pGt7s zJe+{%V>&-?3k~Jn)r}yoVLkT={%^#MH}%3k8F=gg*66)q{l8_gM(iui~?_*gIv!%h08XpQ#x@Rsb%vZ z?Q{Owm3Ry}|0Z7NjN8%b%j#g(`D5i>L*~$Zo09$~W zhB;C4-EGb_ezYS%tP*SG=BoeTbRU|B;CDoWOgjE1r`4AOC+NH|=8hpgIrwV3v%wsF zNqj6W>IHu)_pLTbA$tz4?{?FB;f#0^z8IcY*<-uHUyoviyB5fmanUpSU&PP3)_?Q@;0y`uC*UDFIDb!J-@N1 zfm~dd7^l6c`{M}oA~c5=8qAIO?&e-)JTFKopZs{%NqouCgRQAH_6ZmJW)UA>zj-*& zcf7xZzvzFb@Wme-NDD}W;Z+VP2h@3x(L6e;JVBu2KU}I z`m(O%BCBH#=#STIZ`{Y=!p$rm9aMH+_SWaKnjH;i9Up#6j>i?ebe5jd-%`P`L@~pb zE7&)(@uh#UAvw3vnZ)%Sv@VLCRa#$RGkWUqR(k2NJ6Zi5@L4mqH@{Cjx#I^Oi9W}% z50>A)Q!7V%MUEy@0PJ*A7r1L46?}eK6b8U=iHqQ(j*0Sq`v@IFdW8<;8Qe1(IKRxd z2>pfok{x{fb^r6_XM^+Evq${@=S6&;^T0bpAJ*Kxj#TZMUD!_KsnUTHyOM^y5F1)P zTvPvJNi>~DZ@@VCExAW}G4l4@`&FZ-nUdJ{1iz*9Vt-@OKEUKK;bk;ioJ~`>pL^9U`nKL{%4b)_Us)% z{+bu3V=;$t;YWjB1b6==k6FRA z@TlrcC-E3JjI$Qqb%a|M@p>@c+d=cVOTxsj(j+vHI5xbZ?se^v2LC|(P3O?J4LP)a za+>4`LPw+vKe`|8{cz7)w?ZEIF8jVKk0iL<53d~weP$nwm@R|!-h;j*c^}q5UW@^6 z;C_ovaW-4^zLVgMGw|%Ix}qa)ZHb;>=3jfmZ^^m4%pfXcgHHt~y+5_H6Ylvj%2m!> zxjr=De)p8h&?QG>4x6szUe1cD>%=Wc6JK zyAj(%s}II~mwl6;vNhNF1^kw{zg#<(EZp&yE8KN2b$>ju?zMBC70GEaD3OFy?Peyy z?(WGmUTtxUYKZrAL#`9s5~6;VAFxlBVBTj#I7FE)(sN`9e=_gQEcWH7PJPKyxkPsp z=u;*N)v-@x++eBWEdws}&=TCw+VBtZgtzi&JLjlBKf+9dnP=Y#90vURe|RA;#zN^2 zVLCr<2VWU=C*N(4p%=hGu0&sw^xt*GIlrXV+Wp{-JA?1A#4<WTTD@i9NXMUNEc3hv>&Nq}Q*CU_V8-?#5YQ5;y=7fch{+PtX@-nj6^ zF~2|!e6p;1g!W6%G-&04u;KG7MF=NzfsZ9Ij>Fy$y3g;cDtdkiUMlzQ_Q*3>mzhy& zqKl0YM5`D?J`7&yI#P3Qo~4H9;_aN36Me;+vbMJK-i7==&oLJ!IA~6}IE*+?J#Ky= zy=&ou==L=OKem8R_i(;^Tz)v?r5iD3bUL0Fo&pP|rc)>jf#12Q4+?oH;k$JjNqsn= z0sVzB@NQoPNgv|nL$1X5xMiIZ=);4{KcAZq{v3h`-`Sdpv9a5G+%x1kO|C1wuDjqb zmt5y6FZCN82%-h~2=MiHqNsfU*o4{%x3?rKm(C8y!Z!qYF*^jx24$!pXlE+57Xx>( zaPq6vn52CHJ;CjQZ?pt?WM0$N#Xh+%=K*qXuWW(IG(BGC)nlEo&j#mnJNohD{J0Np zEMK#(xKm61@iaj1CFqgMI~qn@tM?drvECdszY{}2T)2#R ze;aBQo`+x`&BcBjz&GKw!dE#oc*h8A1d0vr=km*{N&LEZs62^~3Rz}7#zX$RN85}R zZuI8S9d!RS-A4SZ{p(K9{MJ`-ykjrn__-DY6LaJSZBG)P$%UTqTk?Vn`iu15&PD$V_o;q{F2XvG zt0iIGc=4|h@ze(b$E51;jW1=wO`aiNw*r&u$BzOj9?#PyfnQbb1Dn82dbxB#a{DyhtKCRb zJ`?;ftgp^;g%6uAWS2a(|GP&z;dL<0*$O=r&=t2$b=5iKUOZvDVqNZ8wCH+YU_O@K z*4_6E?dPdW!14H3$M;V9Ebn^}S{Ad9z6#QuLL~GTUPt_7M~qLXw=3sHgxw?O{u<$JI$Du21mVXQlle6BE@p0PdamPNVV-o|}(i zFKfevBD+JB2eQXs|NJ#92<*`fF{LU=UZTBG`sCX-oLl7>rTcq^b55#k>2gn^mxYEyRsLq<3 zsrQl3?!kN0eW({$NQQCa z8p20|zJDtL$hC!?;%)y;uSVQ?ld#(5pN>C&J$+{ZWvaYgghv-g5O zjlQ8_;9Cm!0r|=SD4x6bK27;sqp&yQ3q#*TYO{95wINqMiQ6gCyQdQxr-w|uFKuk5 zJ3df);2$di-Y%hsiQcdgWk49Q-D(r&ebGC|#Lyu2V;t}y;Z|F~&yRS@Z{W=_4t#S7 z`gizVWOK(@!F&A*HHk5_zb-)Dn+wouc+fO9O#K=_aP{|y9@0U5lA~;tH+3>qd)PYJ zQ_hr6l{?prr9tblp>7Z-y%v583k}Jg<9WgMXkM@9e&PqSx(f~j`!o}fe_^nBVNaUF z!1-0dG7ncaCn;wR{V$@YSVX7~y{$pBAY(5-60SKRFH2%sF3~w&{2uOAv*|nLi-7}w z0*tBn_ zhe_{!=gH7-#5Yu62&aB`q;eUM7h}0C8~Q%uT)H<)SB~{qH|a^53Ezg`Sc*IeILQC4 z>6T7hf7z~FkopOix@xY@3jL+1cZ)~9l5aDAy+xipl>w!94en=u^)>d%tlPk6`BrsR`F87^f?yy^uEq#LY~B|hbgP=e=kdOfNxVG`$Na)vKL7UtB!wc=J7_K;(MI); zm#O;P``S}Ge5@_OHy6%&&p3h_2?e;oU~Yf4MTvyRutRoZf90Qk#2gI!6U_>zM}1KM zP`;P?dXEK5PwL3k;KLwKybnBB(ILKoKbZ>xpjXOX=U%wn3mPwmKN&fzO+ny~;X?iH zi)^}zW7Tj*HC_ zj>k#NFYi!#grTFdsjHdoihOX=eKP|R~SUBD@ zlnYr`I1Syfmu*^c8#mnksgO~$iMKpcmL}i#A~t+|0Rh3W>rj#_POo2 zZrtY2$16s8PAz=sdn}MX*}zA`1=i3}Bo8_ey}jT%rUaPu+?*Olhfz~H@^|FL_`b6~ zM)iuyzS_f%J%#X@aR2Uw#s34$FYGI=v+0iUEeqOy$X7B4?OvwlX8k;fYp4fz8clnd ze>1NG!TlFG{BL- zwuGzSC(}~-XdR*Z0O+>%MHcNo%}$uB;@5Zj4L(!`d|V3@&d3Sy#znt=|IR4S3*{Y7 z%H5b`ExhbA4YQ~{=XnM>&>RLzfma zuiJ-~rKx|~8M#FCFs!YYNQb#^bEc>IY%0Ld&w+w-=%c~7FlBQV~`gU&iTm% zGVuatW3-;D0XGfdVnKhoe+ofb%rESdvEPY)BkVf{oy?{~cVK+HG=^}C9n}MSK*=E# zgvwsgJt|xCYwx3}1skkq`{?KRS2q0&ti8#Iq~9?vHiK@Y+|fG*Oz=Nkcwd7+ff&^= zD3iE;Va_9WMOxMPWtEH#}eBd>NhJi zq<0>jn?`u3FT=R8vdn#9aO|aZw=B6jn4CXVpOr;uZ0KojhdDz+a z`bs|Yhq>X>oBlKAmoXRX|JI^C{9`CKdk%l{WcJNGxMIYzz_#5)8$Ty4=<*W&F$Ro- zH_meOyRS+`XMXq8N$!1Bwpddkd?iQPWf5Z(_YQWT0i5F*4*x1@A1+Toj#UQi0)uU{ zp%Wu%85?<_zlcs(Fp(Jl?6^5i`&5w|5uaV1M9ok9;7MG=)96(ic`+#DQlR=)Gh9_y zxrqL*(Eu4B?<9R{$Fs}&b4rX4%!6oAS9nV`im~@(9jmJs@z>Q7K7koX84YRYr1`-? zcEt9WR{g<)<($GF&bk-Dp1S~XoGI9!@b$E2NwFd4V|=F0`{+w@;XMremfW_s=eK0# zL)UiGJg7&!aOv;A&Q_h)BZv6o3&KA6gew9SzV6aP?>}=qHQ+&^RyjG}p2Kg-=j`QC zn7g@1YgV4Y`H{L~%;d#^CHVR67(6i9pL+0GvzY~+qdOi3T` z-jT9LAu)SAfzI*%?+WxP@IoecxMBRrK!T%Xdp`78Y&qHR?aXb+M|SF4!Bhwy^%`8r zuA`3+{fdE=Fz+V=2y-!1_~?HJWYYrJaKE&Sp~n5;bYG(LOVqh+eXoNre~)$Gt!AA= za*B+WH9`2RT2p++Z@_s)Y@qTD*K>JePdPs)?F?2<`Lrae z1tV}P z))pAj=U-rXpP$Sx1bKC32llWoU zl~cY{40JXuUI#+|kUm1>D~C^h*CIC_-(wbJ{|uo;e4wLWjAfuouRa_6Q{E5#h2{U| ze}Sijy-9_<9P(r^W`iEY>g3Yv$fH7bc5M(NIl3RJ9#b|WL5bjg|n#8ZKhSM^M$J60W(J#gqfJ5M^abIa>2jvTFwIS(?IFm}F zaZCH#6Feo@U9N796~9Y=_$~FmpJyN?u-?=?QT(2*!Mh0KBCl#m)W)IG#xK6Z^TLC4 zNl)DmT|yrpj7A$aC8@4I9R6npwSv#b@>Uk|m7-IE55s8|Y z(0#_;F8A&KcB~7p@Od zH8+Qx0LR>(z=zKK$u^CmsR2MCCnHVdiF{TS_*{6ewi&qu@o~?M7k^TIZ}cT`-VOU* z-m28WKKVT7TUNWv-fcYm$&C5?p-Va9_0Y8qiNvvpigV#hKs@jMxB^3R(F?$hMw!ca>=JB1HWI0c^`A->ryiDmPa1>BnPy@V=0C~)Jx;E*Z4$%@hk&R9PTAtBlqPWe$+N--P2q5 z61CrWbU2MHh5`FvPrV0h2&Uh@LXtEa{bKMB+hac_=g_Bc624SXUxLly+K{E;Bt7lW zU&a9_Ft&O;4M#2b^(R@>nECGZ`3CPVU;Sdzy~uIo@A|%$Q;J4%t8eE1nV7I4)c@kQ5D$G8RruQlM*|-Ppt3+4AfA)R$!FXbMA;%(y z_&Vg}jQlL?L4)oZwXsgKfKQ)oOYTkK|Kk9_E-w7Jyr8t>BWX{)0*Kv#(s{MQR4e|?qgEl4(?gvE9i>8*C9A5L*m6x zIUhQPCw#JRzs@18xjICYYA6?}f!)vUqilD-f4Q|0^6 z@RlLpqovp{V$Q1ZgE#%kMxT3T3OnxF^ycAg+68}p>)*y`zk?Ne=kS03c3G(K7GCx! z+b37Y&!2VL3?IU+eft3H0bKUlv@;r@KOXn#Yd9yRS7~FBA%2lFHOLD3$TNpBe_p;j zNquq;@Rax*uhW4zwl%Mr4avM?PNfl82QIg@r%2#w&S0M`T$!P9gth_v;0ncea~{vY zcLh8|{|o2EU92et`}^g<>80n-hm`nS_UKU_M`Ed z^XU>zyaw1f4f!hWzu8w}NWSA`9pRC;+nY^K7>i)-MI85f)GUZlGx7Ar@!ooFeE~mA z?NXn#?zx0kp{>vFIMZI(`ghJqrwZ^_R8LM--gZc_A^i2v8N}G^&#r;3_+YQY z&o8}fR~(7!YTDy@5m|I9o)7Gs*A(6|K3#?pZFjWlIGeoXd^*)NN4UtAmiYbHfU$Xu zW83`1jR1@xsw**=noYJ;D*^bhrjq~-|LZj1pxn)@Py zii~eDt^`)8NsOUP_RiFM*gJ3xILPi4pg!UM+G|eG)rQ1Q^?fSYa}h#}J;k7YtnTa> zx{Uh1zoA!N{}zMz>U@KJa&^upD8KSoKY|>$&IWt=1AhUG5FW0-jy>{~?5i9RtXxQ! zB;xVs*2EO`jbVNfyJIRg;JEc=x=Ict96D{DFeTuQ4tS-OXN3?2c4a+-#z?&pT* z1%JKb|E?Lruc$eeJW!v|aD$uPhgzp=FIs52?nBzUQ3?*URybccuQY19r}hq=0oQNy zJ&V8E1}XPF%ayo}JD@n81UoPapEu(umf&;ZwdKIOMoTFwuPe`S(@WW^H?;O5?jJab zd!4KU_x0B2dWaqI@%*i4F3mxlD>}0ev3h&HU%L89eNsty>4VYtirSV}mdI`J*X?zb zzR%Z9)_eUy^oetB06G$CmhR;>j;F;i*i7A%P3M96_SuZ{g8e|}l7&ms`dfGXemost z)~97fFW(IIt%#foQdwL47lG@KxpnXPe8U&@HT8?p)7=h}#L*C%&bi3e{+gdV^~n%F z>J=B||GL_0PY8I;q9-15B(A~C-3ZTZSL79IISn=yM=`f_J>NkMcwg zy~2Kb@_e)Uc8bPOxl2B@#*zNkkAnZ|4zZd#@49z}|0>d>v6wdu7 z(D#L3I5txG1T)Oqm))qykY4t7HEBsq?9dU=v0xLZJfyXU-b>N~l%HVPf!eXaIL(H{ z2D};m3g!+x!hXyIU`?Y~$-k|B9jiT5PWcA&EZ(k3Af)iF^u6IH{-t`&%lgHqg)84> zZ74TgFfCdRkS@aQhr0uPO2zHJ}p<6tK|GU)m&R`lx^8#n#oUNN|O^p!D zn%5vp_qDI==@9B_p8AI=uL=9)+gywL@|v-TjaivvwMQ5E5axC@S(z?*kG!qv#B~8L z`?--bgiXJWiS&0@1UvIRX*_B!hO|s4rZyLQ2GIb{Wvy~0w&BNGCy;!dz~>ho5PKQn zQn$Ek@YV#~(Za)d*v3rU2J9H_MO-^K&o@Z*!SlV9w*o&5a}nNupG!DZFAehSOBX5t zxO6m~#P>QPRdd#^#fIddUu39H%N4p0&lf``%XxSU`((~}w%zY0KBfRyaDK5kdxf0H zW3()KW3SD%mi`q}s3{A-Timr@(>qynIIFBwZ=yu)4Y-M%qkI7h48~G+8=fQmq!pis zXdiu$zxrA&J{yv&He3m(TU_WQTLP{1$fB(|%9noYDCcj-`w5i92K^2(bbZfathR3& zr-?|Q_!q=vCH zfPce$ANo)M0qc(NB|)w)Mn4w&-6voUl3vH-MFvs`o}1ii>VC4yB;vTh$UYw855EV# zrQ|C9M86mt1fJRu|M4>Cr0TuuqrHBwhs7$Veq*fmfp5$=F7bWSK7ktX;Ew!@^f7`T z)puJ<8iw;ldgT`M(mm|RV0r-gx@v3i`B|Uc2EG+y){d1URBr))Ot_KV@%+HIH*SN4 z`gyj;DPP$a++mr=;2#4wyWGGm+K=`5lZ)^{ylQeWt}*&6k5`3+^45?ZIuB=h(Fj1{ zX%*EkvLE+1=8tW)mpzc}H(}cIS|N}a&p9ULno+>IL65OCkiW?Ay-43fR=V_bO|73! zpD`Yu_-6!(z0D$##Gje!NqmYQc$-GNZmIlbkp3LJU4>U;wYjV>=Tx-%d$0$SHP+3$ zhMdDk>xy4=DE6@8hne9e-`l*2@S&aILZaT(oPlZ^(J%IUt?%kh&Lym-MAeI-NK;LIB|A*6)#P6~QJ{OsjHn~wI=dzsQ>EE@J zZeCuQO;)ye1HvaF_prQVTFWnhD0i8AQs5tB%+BI8_P zOua=>HHhmjrlsMW=6uvickN?6>QA0hl-!<1aE`x)jp&-O4ylCW%ye$Kz3P>BQIlpE{%8 zoOuBLuG-7^C-$}L8-H4KFN#*pckh_mAY1nm&Ue*Mbf^xYMyl@E983x~aeIZ5-vc`qFKuC+>p`kp3;3UgPz1Ye_Oy z;=M*MckLT{KAw0TGOwGJ=D61-5WB2<{?ANole+&G`b=Te$O5PJ>-SF|AB+y6zY$Np zRNb#^5A)HG@8bg()mg6A7M}j?2AE$ESE`=tsQj;j1UmRL48C#T^NAnsrXjtM=;xDM zG4x8lcUd<>ZVol3drim{^NVfT82U7*Rs*}1@L}^s;8Cb>l>S+hO}Bx|{cAJ&l7_&+ z6X_$psx`M}Q%5c|zJvSBhDA-s-ON@_b^qIj9rty3){yhh4}GsZCSN+_PH1J>{QDpN z6wYAOdF_d(Q14DQgtyh8ZSBG9<36BS_VgI*vFAlGG=_ZwO=Af(g7eLy@Sd-orp*y5gWpp0rT} zuD1r;23p>5F4H$F3b$wTMH5MV)GqKk(YCrWEsWMNK*uFe`-glB4YWZO&GsBiCI;tD zh5ijJ=kmGf`g!AC)|~rbp<5vB`oRR>`Nt111fw4rDWOP<_3%A1-`p8<2jqp7(_HBe z4>T|036%23|2r8abJz{*Y~rQ5UVz(B z>iDrBEtw{!t?f9#2Ywjjj1FV}IGK%RZqO?+g?up^+;cWiElXDYYM47o@A-e@sV9S@ z$cnacA?M!-gf#cI|9*w<41E}@Hs@1TOH8*V}|;p21m%8W~yOHU#_~)`0Fp> zPsW@!wq>^7pZvie<37kvS(J~*^w$f4^0_(xUPV;V_+pX9Q}VaC4#ZVO~Z`Klt)l!o;gJR10!Hz% zQxlbIOCz-p>}I<9ZS8`TQ~U>bN~p)1>ySWKcmap=h54+n24pL*G^WIm_uKk9#62F{ zaSsxI*u#;k(_@dJ{IuTcgN0tnn8Zuna>pvTSC;sv9g9|NsG34XEleUr%D|b4F*dABdt_Pt_=-+VUR+j-Kn-&>U)?;_u z7|s`l?_$)C+S*6oTkvV}zWblMX0l*G*(*>u#v|64=)f8nh4zOjkJ1tO0=7FH#`9)| zGya(mU4Y-E7WUw>=YA4F9M2z?2HjHv*+oVv{CY+x)MVBg5ZSpDxi=Nn%$pMGuvF;3z0H9zt9 z^;-`97`E*(p5cUe>g`VOj|pedH-v;!x)Qt#mQe~*NOHrCBeakHXM@m6vhnD%aN>I0 z-rrghZa@F5jl}y8x5_!sv&fx=^sQHo%{cxo_knN9zNBq|>RW-IpE-l0H`&If(3 z2s+k#j`@WH0YxeL{r>lkA-%T~Gc*s2K5<(Pl+-j4)JyZ~JIMq!%A&rn-ZzidO;El% zcuLJs!_cc^j{4F{lS!^axQD#GS8p5x~eo=TGMc(wgThyW+(D%!8?^G$cpy2EGs1ztVK+6=9<`ABS(hy#p+{3&N zS>*6j ze{lx=weKf-&O*Mj0SoPaRVJ3FU52G9_cpGx-p_;KALEPvxLD1Z#auOHUphH~xR$|p zj30dojLr?{zFY8kRsjEA{Qg!wiPwD3?*jAAM5@YW!3{9hcVgG%Y(Z`LXR;MIEe6EL~SK^j7<4zy&`uP136DWILw;WeO z%Kl{FnRvpt|K;o;izOpPAN~Fcay@Juf81O7 zx;yHMPtE@gcwGz*O>iPTPSa>F7sKvI(ffP=c(AO`RLG!$N=F{QpBP1qQT*_6GKowY zo=ohfzdCdTalE$t_uwZNY=YTwKUIQpU_+I$Hi~{E|@|PTlwD;KN5~)nuT&K=YOr7`z5y0BQIeULw0jQe9vE`T~b zhI(Lt`m}H|aonybHB|OEP3B=w?tp?M_)bfie?HxZ8bQa}vn!j1t$f{ZZ*GM8iieqL zI``;ZEHVZQ*rU4s{+^lI-wdAvc9}ByQ=(*!-<*gZG5&R478|H%!y5~}cEmBqKtB^d+~JYB zXMvAY_KWdO+8_V0F4e&W;)m+Fr29YkNly))<8eHVfN!=wdnbjs{HJKi@#*Nwv zeM#Wto~|&S#x~}Lj&hol2u+mpDx@|1mR-51A9ZAM)Gjc4MTqJ?Z(lO zWdQTxc>&I$N9*0tA+d)&6AgWZ7yPHk=zZbfB=raM3snv&{{Nx}*+)}8_b}plNrS!k zOZb{)FR&T?+>j-2ry_SIfj{)U@|^5iLpdkte-T^GId{=Rtw#nBS{BAtx9=!D0k?vFK*Q*NK|H@Vo)@l-JCg24lMqKa(kMyq@m}Hj zeRS+ea{Z_kqVI)ENpubCy2s#|$bjD^BL%-@djULF68_WmCRxNa ze23;a$oyN>C5*mcz*`plFk+;;YH$t3|GI^#5A~Fra=}+m5dYWGzG>3G(q;^J(s%5#EMhC%d38g%`W0z`NzXjVEdJJ^OW9 zr%JCvVYfR*RjwoYIz#i7tD@Ae9%mw!-3#u)55qx)KSzk~yUPjmBg3HC4|!zar`Ul1 z&%K`b_hfI{!Cn3EG@jN%UUD#(Q;rF8f}DTOhW|zRjrj)4Jdbd%6yN-$5Y^G(=hytL z1x>qn^LCX~7vcTX9#KbfBo|)h5XWQ9t9#JDiy;)?d0}qfvis3x`>Jck0leN8P8~}f z7)x@@TY4Ubzz4%NZDS_*hb*6$50t*#X@5^54+eJ*3ngAB9r4bl6TJUGE}MI7pCez% z?}2FK_GCZ$F@n-qaQy?EK^fSKj0ci$t4S=2@7j_{n1*BDR`pOn(fR=8dk^m@eD9&i zi%Fe2^5Bvad)Qg~<9Z|C#=;HqFXBIWpJ#Ai;>nc>#CW1^zxfGgrRlIFy7lqpw>uVx z6USa|{?L>Dhjr>krx5iq{+p!t{I{txH`+TzXg^9}U)jrbOAII8wlqCssq?C1yzZ+` zWl>KC8uYtjgjw3|+Hn^BmHgZl1rl#5JgSY<{4}1I7k^?QImo%puV0BuqRw@k)+bAQ zAb$q0FS9u6oO>AEz6OxYv_Rsue0bqi<44}}AQ!{ElatT5X|Gbhi3E3xdFb3U^&_Ua z5pXcAj$cTiuBmt;Vm-+tD7x8+8)<~s$DUVv0_h`jYY(^*bBw#yPmr8P8_#IjpPZ>? z7H(g;b9i1Pz)@HAM*QDpZ;bvI*whbBNDoroprW&KnwQwoIPQ0unX7*9U}x3Gu*YUj zQSJGunwKpuGI)>Db!rCTI(fY+`YRX0mX^2?90*>p^-7^@yua<_M!wt+SrLB^_>w)p z2d4rHuh-Zouwm1vlR_WbpePvn%TwU02F)H%SGbS%L^;(Pz*`r;2llzZpaIo{^BM2a z=nONRgRlPf@(>D?-@w0&OKM4yU*GQ{{eSB`>yR_#nVC&;HUDt1hw>sGC(u8f!>k>n zd5Ip^49VLq8cUNZj6JsMp||{b=M2EP)?;0pjhIiQXQUH)6_Gcd5j~l>1?bj{P+}j= zz0uipgpG7B;TPcG#X}$6yY_@1nR$$TBE`ox=(3sEF2AsSk->57>5XaWky8B1(e-(V5{|L*&YCEVi*|26j< z1b_#N8tma6lZ2OOyCz)ndM@Y_-^&9w;;OcV0WE%&%!*-PRVS2x=4!$Mlmv`nHaEYb;cdLvOJI;;Zrfd{{Y$EwG z2)I1%Jy_3H?&v1-z59*?O2%s<*TR#2=e3brn&x~C;C{Dz?Uk9Ku9|Z`g8LZv7om@l zZL+)ZIZLiD_pZ@X0%3J!KYh^0Obz%&wH^Fq?w{QkqAPai_Yg}TiIWH4uifA4A%E`;pa!L zZpa@A1d3{d&yAxAcmNQy3XP^bFI*o>3H%~;^_G3#zpU0eCBXK>}Y%IV-mfdHfS< z5P#g?r@#-xJn2pD>VvNqpuIU=JJ653$huvbINq}|HC6fS>0LC}RV7w?k8Z>%-^DxM zc!xOi*_(L(^TOf2uk;s9-<7ESF+t%JxCP4ptDc1M-tyhaV7fH|7yVH9#~2iIK7}}M z_5}N|BfK{`)K~Ok=au2YDV*$UNmn7;?S)>+d$i2|@b?x&2&%szX+5@{+f@_-c#K)u&@8$k#h5SDLSnCfbsJ>F_p*iIGY3iG~6R7iVf-5Bh zk8||`_O)Hc&bV49nz$~nW)Aw2WYG?OGSBIGb+niIGW?F5>%KHn^;~dfcun@Qw6}5) zDfH zh}R(QIA4Y$R+#FNFZ%r~^kPUqPQwuL;NGx}e$+|!E}zxUn&v{4v4*ISZY%HOZNcch z=bjk&VOXa8dR+qj%ldQwXx-x-uV%)Xf0ZFrHm zW{mnc{U(z&#~CYx%6)j_u`KnEA>Vok@zkNoK2-9}#qO8>&eq=Q*Ae1ZiGy!kbf?VQ zMgfCrey$-o79ddlGs73mehh>f`-y$AN}&_H>c$RUKog z1#^9$#u2aY4p+-JnD?@v0`?ieX)h`ArS@3Fzn+_@xq!fM&BJu*rGDS@!O|;T;E^Qr zcPRXpJb$jc7p{C}3*=w8*XepV0WZGq*fR^V&qqLZd7N;%C)#C`r4&(LG5C3#_SU4l z|I|Pl%!`yn_#UOu;+-LUulwM`zy>la7<`yZgNB6NFwy&fn4_QG+mk={z0?gOkww1% zkBNJW-3ko0gN&#cK@+&x5bs}}(wc2dQ@#6I8d>l^{o%s|zpBga1Oh!{^_R|`(pS79 zAdTcTTLC;+_CqdoCDd-bsAZF&IbmnyVZohR0{();bCH8AW&7BbvUwl+@^Wh^MAt_W zFjZE6e8#;0H|F{O_11hwLp$-S#m1HCm5uud4`?^|F!H(7oS?q)-gk@*NHIKv9wa?z zt)i5NV{Ia-o4cQ^_iE&Lc#KI}7cV^gweTm`g3K}Z2zu&(mmG{-*?7pe#lh~AO|5e9+d(Bz-aCLdB=_sa!V21AG0`xESqw+v211M>8|+;bMxKk<^&M?V)Dk zF}~*M+lKJ9PuC!>bNIU9Bx1j!!yV}Rj1lq*AXb~Fp}$gc5pOEX`=Dq;s`kga*=rvm z@?wlNp7bb=xGrnYq&$OdytBO$bnpDxmpnNLur!fcu<;@L|K^c<5#!9G9|o(hYD^Nr zW%>E+kAAbuk z;uv6uZ-NMN?UA!fdQ&17FgLX$!F#UH)n2x<=zC?|vS|jL#e05M^9ia$+Z7u=Yy=Gi zmyEGxm*dE)%}n$Z_BVU<9^adY0r!X-ZD;<@Mes!U-uV>$naDwY_a}NDxWB$Q znHcZ0r_i1FkJl#TO%7mv|WWa?Ga-mL5;#f_Ch)D!W;K;aIWqg>O@Fz1s_Ck9) zdk71=4mQNKP+otfDo6ZBd#cUG+4^znud5WVIg*GxV=#ah&o?9xuj7_9^HZ+YpNZlJ zzB(_w%%|N;b758?w25`Oj3n(T3Q3{HeBDN$g}kR<8QP8cx`je3}p%NQg@!a++^&eM`T+5!9_w=WG{E3g%u zhEImq%-x+5DS`p1$2_&y_wO`9O^tiu&>*UY^^)C5SJhLyBmczD>(yv^A0KXRR)6fO zyGDphwRJ%gz*FMf$U^WYfU|5r0eu!6TwWfeym0havj3}^$&MOfpV#zEuI|zN`jRyU z+}Gb{&~{(|2Dneq=c8G%!8JG&!R<#1Wc;ILQ8a~R(SauE+sbxHp$Oz*GGDo=5Ac0F z<-z7+stX+jafIuqFh}z_UnxaOp9LxQ`Oz0u~KC=%e zYOiQu3?W^FfANO#HSc4-il!s{VvNVU4jsPpg&b-PdrP%{&Dv`f8%XyUfISR;evW&7 z6-LeRgYyr`rt95c9BUk_+&&v$$=h|0Hd9{?fPtUPdD`@)X33Rry?EQW3j55>9yN(& z{HCunwa4a_JK?doGIM5taxrhVCv0&M)v{53Pf{u!umzZ zu`i}dz5(ps&p#i;`+)f#k9~=;v4^&UN5=YBuW-WKq;X=0UWAg+*}Y4GrElbrZ<5{< z@w`ZH-g|IkIZxi+Ahyd+grCeI1Ik|s^ez5AFNhO;!vpzB8#hjVUp5AEk?d9zowUZJ z3w@9=-A+S1mCw-Soq@MPuPUpNuS8t=x3Sj31Ni38rhn3s%RuBF@?HPnkZ z4%|39Nc;XC;CvB)y&Z*tr@ka2mweGq`_`)uHDiNS{|xPSD^8_|#VqvSF@#_JcLvR8 z&O^T_nHO@~m?TH+k6b>Fk0&z0w`2q8zIf%1T}96$KtcC+n~C{#&%r6%!Q9~tcj7VT z){XHr81dwE%rD|&c$GjLqo_U8T;^B6J|6WdE!@hUpDH2peQmT2dZnB{pAGSM^>ZO? zsTO~~-IhS5c-(j#_!`)HJ*m?}bob*ouyXO5;kh5h1;J0eW!~sg zE{Fa>OOrozBk4J{3Y1>56YwX?`8gp}a&cZBcwRUcP&bB#au5mnKJ%X1KFlWJ2w9;| z4uRI*;P!M9AYPHdsgZe;Y7lCnG9z;`Rd3nnPK4WNFx}TS zqwkfuj_W=IlMV1*GuI>$YC-FG-%BC!O{4#Xa}1F+4dwIx9IoF3@L{l}?KjObo;sjj z^T?Jgx`}yWT1d4CURc^h$Gl>d!ABi7~ZTo}*ukbu9}o63m)okk03oom6K=UQB-dKDoLtyX7pLz0Tl`%li<#3&tI{ zGwv9?=ZGtpsqag-DCz&5I6Q7*mcIBU-E)M0nF7x8 zL@p|u0FDs29;4QeSHJFmR>b|^C*2aI&(0n^*hyH=cdVRm2&bhUIMAH$Xca=kfWNQS z%3u4P9N{--99(M`^+{BzBR%i87v>P#Wv^H1LA=-d1$~aZo_(_+T6;gIfdkL;`=Th} zJC7gcBRwB)Cg2{%fU2sPm$(4Bav*h@aKZb$gGtYm??Z{#&%a<^lsRlowBFD6`-nci z2>;#Fy=Xpqgg!_H!(*R581;IGrW6_6x3XYa4JxWK=a+2o`K6cT4|n2YW9fhZ^5%ku zF&*geUKF`Bx6yu^9;tdSs?~*V0K?K^S)Ar-4#pB>GekY|jYQz_=h-EypUlsXCV%K1 zKm1Li_5I?Nl=v&A)m)|6bAO3bW_}I(?Ga`s>Bn|2sbc%yF{^2xH zikvOw=hqH;r6aH$Ggct)1v&k8@D<}I>i3F+Of+f`61QUmiQ`}WZAVglHnIno8se`* z&(M9;tvj5xrXOHTsr<@BjE!1W#X;ZiAHwJpt`jlK0_nt@HK@M3YH$qU8u%NM%OB`2 zT55m+`oYRaa;Nelp%Z6QGNWZd28ZvKYYQ5~RMo5GUzHS)6D`hy{M0S0DZ{ z^n(1d0Q^qYP4hB{YrC(uOC?~CiniarV@Um*MW*I7H%HMy%$*0qOsWenP1bp|xf@}d zW6mmqKM%j4SEiYM2LIrzdpXpR_wWrU~)rxqAs6d;&wJkzjY^uC%BOK|I* zTd}ghz?85(yFnsxJj3)4`jL6A|0hwoFE7HhXJ|@K;+}S|?jgiI|*0y*aSk{@LK1t>BP2;AJ)2&^iBUCqRu<2s&o6=AXaRs2*wsmG>Q$4 ziU_z@RKzYI7!Xv76p`K)(1Yio#uiP~SYq!j8hft2#2Age09H`!#@=Eq-&|`ke&7A$ zj&XAnLpgiD?^<)tXRb?D{?n_$#5Gkf;1lM4mGcwP+rwauPrV3KnH*D662T;TekJ() zv1MqE8KBoVmzi$hp;GIT%s{xX1Ag<4d`**9_^$^#(VceO+|}WzYIWEwkoDm!X#ewAs~`5a}~px&re)`z*uJ z$A@|T#>WZTSAu@>>A)1$4-KSgz~D6e13aF^Xxi|KCN~H^^TC6?;?FN&=#}h)ordZh z?32#58YjI5bHGz#o2%8Y!P+PHzgC(b&aHcj)g6gLE;E+iX zaG`-Mj&lim3?&yBA4L2bsL&*Z9x=C}HFOkUE2sY6g;wug|9DSOxZF#JOi2|E`I6L3 z`koC(CiIE_4M8ZvkUppCDc^`$09cIU@mQx0-(#n=iilWBB^hf z8A4rtLBqmoKjPZg6}j&W+MkPz^K*PjOQh|(YMdTw?;@G z@T;RCdftwKe!#{+bCl+V2SK082e{LmNi5q3!k;Y9$#m%ZtozPSCXVej2X9>NBhWjT z7grR79z{MlG4D(7Zwv4nxG1xH95EK_*PqQaI)np+B}OO*`bXh>3BwCzf|(Lnr#Xpv zp9h-l;AU_S=nFRznf5D3>3RE{fq9=V+{qqPhkbZ`bI9h*zDXxTGt|#kbX$CI9)3Bx z*Z((`TEXY~&w3LvR(Mr)+=Kb+OzKIYL1=Fq37>*wL7 zkMs%6fg>X)k$ zDEz2-n6spp&M}(S^SQjqtUSuRVuSaHTTWCX?nODWEr+nhsh52OzEjv#J5~=??)rDF zDAN;8lGe7$|8U5lGKeuhTilku2IeYZYdlTo1wmYVX^&05A%5>u*q5_GrU!Vi@WFIC zkG&CW<0a6^#eP4ui{7t3gbDv;Mz>Vz4!&e<_e^3{_?lOg&f$gK2*>A|W8aqcz4}-a zeyf##>Yk{33!5Ugy0&kTmd8pjd8n0clvg|o3_ zcLh3+2grQQr2VqkC(FE&jQk6OK9_{h6X*fWDym8GS447%cge{GYN2rBu!%;I|Z={&X+(EhGO@hxgyBVu@w(CU`G) zlzZhJ$t4`RZZG}81M8tbl7qV){e>$u$vIT_XvuE+exBe!E8r3;fIpc(2NU3rW8QL! zS2m@f?szHYLFM}1G6r(t#jX@Ps#Ro=_tc@aOv@=AiR8R|zS!~;6j zd1ru@w6jf3H|dpKeWHTw*J|D~5!WKDZPA|Ck2q=!?qlpz`z?ezim|uAfEtuAKP!s9 zK8)X7UmwlMMQ5r{`@mS;4@~wZ-a6F%A(?o7b2vR%xTT+0WD!*AW&z?y(PVPMH{pA^9jzmTjJ@-HNk<9 z9O`c9_6!JbI6wtJOJNIE%JDgSDTr$Vzp$H$ByN`3;_z<^Z+f z`DZ(6N`Dvax3^E$9!KOUg%7y-s=-*j$Lu{ zTXm9JQ{=c2I~u>_sgLGjql0xGUDZn87b9$CZ&kND{I1*a3vAj>?;BC^x@XLer`1y6 zd)bip;mIV*NBp+U^dMq9>x#$8#Bs6sT9L#bC+GQH=xpfzy;g0*>8~%VxM!rN68Bz? zOU@+FP|7@yLS6?k`du9ijcvk@@)~t|J&)me;UcTZM0yY3->mJq)E#vOD@R{8q)&JX z?pJ0s;mr>ruIupp(NFgvr{5ZccxxFyH`SvWR-~QF!hSJoGB*ddabb zyZ?VbhIW`n!)He6?+<$+cRaQCr)H|}4g8l|Ki(erV5_(GBH{fie11ni@x2WBD~q_! z!fHBru$<4TS7SMu}FDNl9KgYI;Of3FR)^&G(b!kD*an{OGCE8mx`JYaAF z=V480HQGch>pDJ6BdgST?b>;J%iK4uGW-X?$}g{H5&qJGXL-_(uqdFEgNc0Q#uONP zkERmWojH{+tG#B{DKr3sSxw9j$|cJ;7=t~r7y1WyKZJZ`V=3ef{=fI%VAfAPJ?R1q zQtRvqZi}sM-{xsv-{PVih91f4`^Eesd$aKCh6Bd$`rzrFLeI{BUj@=6#C4}Unm|q{ z4l|aRwWk&L1YWCL!X8w5)|N*o?*@C6A_gGZ#*r=a_R|9?3&-y^_$zT+nD{9wnm$)* zJLKX6v!3J2iwx-_T~u9qC(3jkM_m6J*VtG5H{-TppUl0VTaka^?`N4UaVunOE}-o*!Dk7a@F_-9g$@@0g-~LJx5G*iUn^i}qp;4wv4T zD+^OeYL1aB5$*!!mrMpp#2UgU$lMS~{diA)$6EVICM42V$k*OJolC(o7+o^Xj$1i- z+5!`GdfLU)YZLN}kQcWdMW2Nmi2q058PZ1{*)`5LjFa47d$fnU6-12hZ;deU#(8HBDU+Zy|lnv@)xVYA*jj%k++}j zn_gtmcQa8Ky)#7br)|8%2cEV#Nx4QIam2N6&Bh{U!Q2$@J4POQRT}2iCOpmu`pm+; zg1G_L{j~@FU??Fi-mh+DcUo=Rt65qTN5Xfx<=$w_v_YW3t!Zz}wpOHjCsD+62wn(q@(yu4d zHW(l8k4vZapqDSb??b!}#bt$_B5pOOPg&yic#lpggVyriDG2kV=d4fOx2Il+3ANA8BhbZ$4a*Gs*-vz=| z*n#tfdl`?<4iZlKn~Evw=W7_L{Jx!Cl!Hv+Bz2@|sWiD)hTWd@Ogh0}mtoNN`CeDo zP(3sX=MoF;xz>cbjGeAtiQ1F8I+tFUP(+z|$zZPkzp*A7$ii7lh`#p*`jztd-x@N9 zUF)hp#|0JS>)LtMr2ET;?WsNsvuh(XFSICx#AjJA-w^K3x+wKUV18i?OMxj{vZUdnUnm875hx#)vqpZ5;< z1O^uu1^ zRF31VMlj`bPV23eavkz}(ocBq*Lc`Vz9jP&`pj6E>gS^KKYSCNIM|mFM_+QCPqiz? zUiP<##8McpDgSK^p!ryktbx9IAN$B3kt6<@7ci+I(pO#KH}uSNZa6N2=Ar#^nicvr z8I<)Qmi&3p>K3SThZ*}o*718r)1qrosu!Dy$IR!$i||h5fM<2l)1RUjgx3$FANmm2 z^H}=?lk^Fvwj$g*EBZUxl5pzkWl%%pn?^lts~oS6@nq&AhacjlCx@W#tz`h~KIA8g ze||qEBZ#=wq%ro%T(393Mx^$~uj-=xDs}O^@FK@QRrTFrncAn&2l;*G(ljtg#=Epq zzS4SY$-f*KkSIOov72-02j(T5xoG^rx-fqK((^YLdEx&=&{v4L^2+i| zy89jYm!1+UOJK3woQ{#Pila-J$bw-@-V5?Kh7J)%V$EH{F9DfuA38`}=zE zk06ivWs*Bx$GG|u|6bT>!tPbfpe_=my=CBI^7s3N+4^(2g*_^RWfM*0$^{TbX>MefoDIk9}=S?DwL9OZxyr`o(cpMf;f1>7R%S!Zxa=vFsGz9}&wHf;{zF(eSS!6U} z4qqJReb^30-a(HJ2iZRPD5o+hSoAjU&{oQmon%XV?ezFMgPwFpF?ii}w2=KKed1{; zj}MD+FB1?|zA>8@o`*5N@cSb-NPV?cQZy%k^Q9#pJm8Hdc_63({mQluL=HfzrDHo-gtD;xQ^FB3+&mY$8tvq zF-H9RY`;=Y%v(cvV9@t>a4&~#MbXceAz#Tja`(3FWq%*&9U+{iB}d@r7Z7csAw9bL zqqOHB!bkj|E$(1`VSq-zEaLd@*+bsqm#cpZdL8H0`uZuq^xrJ?eLf1IDUe_PXzr!C zj;Tp9_cv)8M+FF``E~>cpZzRtN_0P#Q=1s)yc7FPejWd_&|h;blR~Ku17i-m5yuDD zKX8z}K)H5#nyZFh8N@(@J6YNr<(MITOfR2Q3UK@ zT}Pph54m%<3doxJxZ|K9Bnm z_9r)@SGnekZ_h;L8yp+mJF?UlzdD@yRRDl|WiZ{I&P~kLGH;9z@uUXKFIZ|Xy`ate z=Mks%KE=5ZAER@StKpC9rh9SfTkCq&ko)tvSUS$!yDtOjDPChoTf=vQLa_IT&9sz3 zjmRDG=l>jh>+CB#^$Gb|e*ZXwPsaDBjp!ri#l+%3;@8-{m(VMH;WN%fUlIa=M=qP` z4)_0TE;6#2cU0F-b4HEE5n8K`+I02RoXMqNrhC>tGo!}aHtlB#>; ziJ8P$WC!S#;x8LxD5vHx@RPaM8S}p61Tzw)KX3QdTzW1&5El)}neH`_%=Ngp@;H+7 zKR=ov#We2>u4~!57+ibi75`R|I^ZII7(C1Y`wQ7)VXQ%rR<7qy%9Yb8>Gh}lXwPo<|U2pw!YNsflV~U^T0)pCPlVB{sx15>; zLvdd(g6kk<(RSpu`8i98llf?KU=oe$X`g^>mfkWK>(O>WMDk5+PVS z=?wf3&;g&gq*HyK_tuu?75XI6SlB#Xx6=FA;Lmy5n>R9@@M*t$^0|-n%RF~XBcx0_ zBo8SoeuOTqQpDdr=Zcwlj7p)Zwn7H#3}hjhUCn>>~w$IXPk0PM*9-4PcM8iOnR86;CvB3ibrKi3+x};4Ll0S z9I3;Pw9|X_FY&aUL5(&E>Wgo3#fXW4@cdtr^vAzD9VDED-tj5KSo!?aNJ2e(#d_fN z$?Fv7^G)P`513OmuQ)rC{@`AZxG37l`_?rEt$I6sv&X|oqSGV(Eit=(?YUV(EV1h?k;9*h07Z+z`rgXh&~%=^rh{_Iduc=^pgAYTZ1 z^rc;Ude64f#u2oY7ci@_&k_(-z9HZ5lPK+LY2!mz(I@(#`WQNU);Q#8l||oUZPjj@ zH%$c?XuvpmeLz&dm_FXe-WB+=%IaO|Fe{)TW8QsMyuHv{oYOQ-Af&bYnr}YnWs7ZEDw4P zoO1*JY}FaShi5G9UaMOMbD}D?&7sEJKZ!YaKHiV!Pw-XMz{D4oPPN_!yg!@oO}wY= zJuXT6cKcg2UtvE{a=Bla(kTr1_W_Q+Bsg|TBetpdWR#_$coDqpkV1^Pu*%1|#65=>TYu{Onr}n-qv?rv=&hMz6r+v(WUC54uPgkH< zanH+!IOXoyT{p^>O?mb12lP!bSNTYQ=r<|Y!>xr&Vqpe2VvG&hjL!j{zZd0mseHTl zw&!gliR+bZ+ncEi_W_~*MRXkO3s@&Aw+{V>3``4;*1X*UGg-?Ay2u!^Yb+!z@GZF@ zetQnVh4J~5OrnYoF{6P=Lk8#Rx{2tG#{NVD9 z>L_e&@LQ7hv4sc8&&dz>G2!^sj8yL7t}ZmZEjB`S;l%d6Dt4)aZN|{<6*4K012|tr z5!-EQcQbUJMUFX31aND4@1AZ2zaltafBc?Ht9b70amlF7!0II?)!kNxh~NIOlb`I- zOZvPuf6pRRrcwH$-uHtZom1)Y>PG~Ymr%pu3( zDCJ|@`w*vsic`kWFR&e5?UqH2VGH=St}uoL&e zNvQ80vL=ME{*Qk0&_o{(VQ|6oG91*Ok8RB~WG{-+Uc^y1F2u`)j~@Ae)xVjAGdwjj zTKE*_kaJ@<%%DGu4B^x?x6?gv3G{u|U%vEJPWaql^$Gstr1PN3mJs@{GsiwdeGt{# zDZlekob>6W&59?+&%X~YG&1;w0Nw@0oqaL>LE?Yf_-`_a-S?YF<-2|CB6Zlo(0iF9 zcwaZ0?nSs?__V@Yk5<8(gYFp3 z`67Cyw)BjD3;!74yI=R&<4;{!@LN&Z$2ZE2?4cstmvbcM@P@hM39l~0&z-pb({V=xEbnxC#Heh_K%HE>ow2kZ<6Y;}QhqdgkLNNF>j&)lx?ll- zd7t;w)o0>)#r^gBudz=6?qfs!bls!pV^4@2=--vnG-o@?Mswo}lVwl13A#Arn-ZGk z8%UkBO2@v8eFy=Y!)X@po9YD9vSk3x&9S1kVwCr!hn0Ac1vh%&uzw#vvgkdgsf*4F z1xeaJxGYY4lzQDT*oSZdeM!PaIHAwW{u`JBVF+AT1b-*{6SpEq!TUbzT)N9X?K+XP z{P%%P;~L;O_!Ls~`-pf70M@wP!azB1kDM`6Fzd@dM3W!)11>iUFZ&PwVuP{fC&TQB zWv`_BIVAO*eSDQ0c@%z_JLL+z@|`sAv=IE{)Sv2DJTf%z_Y?eMEbQFC`!N-7m~-*; z+4b+A9YgXBevNG3nWTEo;2_n9tWt<=+_gtXs=gZHsyazMTv6C?QYKaRu!k~;*M5)M zL}}mbT|@gtz)vnG;7V)F6SqNsFZ-^Me=#9`6R`G@QFrRS=tV-bJAE4b4`ysoa+uSl;g%^J?ElB*nqm(J9uEt+u9mn1!dOR>*lu6eyH2I>Q* zwdoQq`TVaN_)q}WV%0{Xml6x7{(G{tHvoF2^m~<{=Z4=CWAP4IDt_p{ z`g>7CXBb|mC+Y9q0^SK-U6*wAzgz=voPkweBvC&OTf$K%Y48C!xOx7p|@|J*b9@ zmsbLLvY~lT0#zNf8BzoEO60r4C!?Q{@sQwvFrLQ)`(*Jm{!p6BU+YTeSl?_DPLgZ4 zO{Jy0r&^Uk^6~E-rFr3|L=7Ec2E0s+D)miTD_0JEuk6cQ0Zz9U7n@YfH-y88_lV?* z9Yd81=8D`qFIvXEHNP|zPoz~Uzt|<4CcswtRiT;Sbq^~)rk^>G6#+l<2LI~Rd ztf&f&7eB=;nK3+C_3!3B(z}Xy;>~^D(tCEW2>Vo)2Y>b>wrg#xmQB3g zEZ7Dgz7>7qPd8pqU-r9)+-odzvS}sv0anV?dqAUG26IL>jm_5kw@)l> z<~pd!CSp0QBtBj8$ItLS5Z*iV%9YGZK8HR!?58f3&m)x4?hZhnPx_9ceI>V3c~_eD zzn9q1Hq@20!F?2X{&(HWS(MW@KHoqa?u(Jwv$^v5*a!TtFHnH|OE5L#{l-Zv?MLm< zi-xhVU#~Wyp0(nq&Uu=z3wI$t4zIt5zr8Om5a5H$oO%0(;lK+X=)KcwcbYd5`!W1? z@rpSX+1p1B!`#JtvpXTe9W1~eROaFN(EniET8DFc#&*9OGb$!f0`DQN1kyI}7oI*a z(@i!it&JA{1M_*DZr_A5Uu2|mq1O^S;`>wd${h9G*Y_o)w&vuVfxgc^*kmW&W397Q z|LwDApgubuV@KTQyBUQ(|F=`nbB__8sN@BI~%Wd2JTJyiX>E0PJe^^X%;MUwR9 zc6SxN)>-8DrQc;I_{pfFxZnnUCI{Ocqa=?#Zl6Koo41eB-uI7I(`5U}1&bn57-6(nCbc8*DUyU)yX zmR`{X@IiA8ug&EV%71-PV6eZa_&6&&-$8OV^Y9*&*W3U6 z)rWR7l=!+(znYu$RK70bNPG<+gwNNh%?J*cxYJ@BY&CD87YVi=mmlF@lHg;pA-TZG zS;`CBHCp()-+pBx{@6T&A4cY)y_okGZ1nlzZX#LZgS~wi_^McA-J1$uJ8*X$kbjZ= z;aeYy<3YMzn)(VdZDh~+xoxuKTC<>AFvibjPQJmIIiJbkNO14ru5dlidIxE~q^=cx zZI33K1)dbefXedr#5H<>2^Oj(LRV+P_9^1GH_3VqfOpYBiV?3FuUwYdS+7Iy6Cbcq z0aO;Z=i2=&RCNZ3JA2IJ$pOY0A;d8%&%aGnh5;}2q2n2c{^;vurU{wD4up)0*L?1{ zK+$grd%QRfV4z=&xvFP7p=Usfgo=#1Jg@lJ>7H(Nj^@d1eU-DZC75^(y=9gY)kEC< zR-!HO>*&;b@OaTzT4s7X+76pc<24C{Hn{V3S|$+3l<)KeCqMIVif~U-o@~dVB#$S2 z?v4zuYaFS5`Jt}LTPY6He$u@ugtxnGD)LQ|$E_WuKi@OhCxdGe58h>U0aaORj{A55 zStB1~cOaK4GDvdTMWZ8ZpR>=Ih<)gWIr?L8c|B$6TweR7BM-VAt zM>2gJ(4yx-?8hos3A`Tj9=&)REX@d|CP@I!H1MMPxK=n0Lti21Q~JWskJs%p_+@1e z{={4d-iCPSlMZ>Rhu(Hqo#&Tq z@w2qf$e{a^*r8Tz2-p8;md^Frqvid+wJ!26tp8m{9+{0`htZb~>|ldyiMsC!H`7MQ zi5_DusxQ__mt4pfAAN{p3(q>I5vQKUPe7kIj9TSAN;yE#{e&Mpx4>8iIrnG$?{z#! z{uNG=BjM+T$CbWT1p55UrQ1Dq4`OXkGAH!GUYBhpOoln44uo z1d3R@iLOzav*>G0yMax}eUhNPm++6R;zDlpiC;v!un*?XAQQi=AU~J$d+_&jPWGL%`ah51xoC<7Lf8muD@C4#24iR~i=t>2 z_l0ct5stxsQDgNvdx04&b!F#&vW5l2FZ;^zf2= z`9j>s#Q)$7{xk;XfE^PkRst*~##-3dkG6LZp2v64`I5o&a}9%D$vr98Lg~>AqNNctS8Mwg54;n|!a6P(OJA;57_8~`!X4J)W_$%#a~$eb0SRzZg6iLbjA+YETXSi{6THgiEZ5LoP3Fo z_Zr~C$e+K=M&4%~!;)2pIf(qpn)|)mBLBizm%(Sv%B%YjuJh=xLDUP}^`dAi@!wDR z>`4nb7#3|W`sXC@VWdAX)J6K&#~)8opGa~nDbMhRQI{7&OJnIhu(5l#1=3g8vrdEG zjr|@i11!1+Jr3O&J+B^Cr9MH-FO1kV#RkuB)-iSjH-N_&^zq5(zMik<5}_x_HRi07a{M;h3g<3iT88GlTRH0< zIXaPKpYvZlb(aM-&R<-(t&)=HIt!qlLnVhWYip_QO_7?Ho$gAoWv;zpA5NfkEkAcR zh0rp)>{b`>V9`sEf#*Xo;!TJkf<}xEiK4Zf-weh4g8qy$^^r$r;Ly!n`hbt+##@&R zes6U6Xi|=KRrK9+pyk70YApiR8w0BDSzC8^x&&%b?-muQ3jqFs&rHNJ?TKpbwP$xp zl=@(9k06dKj7umqFn+$g;}9)8&2(^3vAp(KI&-Y*0&g(C0GEFO^9$O3-`PXo-+}v0 z;+E36sb4k$x}EZLJNC(3a31PKpo>&!wg~z@j=eJpaoT(D2)-9;IBu1c7_01|=pJ#< zzwamPJ^6j~C;Ir9@6t3(b?GT?rFkp|;%R>1!91D!9~F40?yxmSc_ZMHIa#fM$AW!*DQx<+iE^fg@0 z28RY~ueWg)YRX^?_{=$vvlR1-^epU%6n;=|=t0M#0ZOlrdkPl~z6w;nD$b|ToR?f0 zEpz#k@#tNW0{0@L7TXne*hxM&w(&T6F&uy>e_!oo2pvZL__Ytk^CEurB3tP>tec#n zeuoCmWX*u0CfGYNXy?lW)t~b7jcv@Ch2KMbarK7^Z`*clvhKm!MUv!hCb$w>@(S-( z4kwmj9^FVGh;>Erjp0w@_mWeT`qiyTd&jUJ!)b$eGoq*h z-|y;=5Z&!yN}<6vT8Im}|APJ^xvZ{Z30t;nb>N4Y&Hy0zdc}{pGFj)1U_Z&ppks#I zcmT-^rM0{W$9;_F`uhEo^xg-(OzHv#;`hQF@eSyEt%F9xs*c)21pQ-CKR7s>4k4^r zTc7zZjM#@=WvZKC*-v^p5>(ieu3PhTUR>p&bF~}xH(V3|z48lL%oiK%1HAN2HnAS^ z06iMJ;79+b6LPxDHT;l9E4hg3J^U~TD7CXo5?%7t&w5V$iu;)SJike&{#^73A3Jl7 z&-TWCj02I=ZDfv{*)f?I|Ii70CFU9~dwJRL=GvZl$d7`0ckXgH`LQhP9HdP3HnrD|`8Tro~!_IWzfK8Wy?ZW?vDXXV#eY6-j0h+P5l z{9SEgk$lPK-_7ddLykhm9o*CRa&b}nNaA?mRWd6#2>ui+9#r5D5H2J3-iULa9*upd zeEs(LK6-J$sK|f|DXh(KJLw(xc6pBYrfWSzPXW&>m|t3P0BMqw?jJ(YFNXN$A>=DT z^9!<>+K&EVuE&uC<-+ZcS3e!}3f>Pji%(L&)1g4x!E)I+=n~uq^)f>Hzo74fT0Fkm z)i9cay1hR(rN}(f*eZiEn73a8{u9=1ZyMBScz(NrhEdYXWnbA^`w4yn_Y5^jFLuJ8 z%(j(^mkjAAJ#EtaTLCz2tPi4JO#C%Jy)oqb$#)};c^n*9f&NP0zhvl2lj=m*o#~H8 zTau$kM~Q#JBYXr+mV&`TgYo_)@1m4T)DT>H95>~9kCi-K=b>2?ZHqVKRB!29eY6T3 z9A3na^3&e&irF-mFS6O8oLIjW7pjze&FI>~_KYvXBe5uZGjc z#u(&~yOsQBbt~<&+XdbQWB>lEMT~d7Jk6q<=N>MEwQQ6vo)?ZUJ@$?Lzx>Nx)-i6x zQYQBVo(Z4>uqm%?XQ6)SAR_!-+RyZ3h~z&L&zjWthJHKF8F%anUFFaJ?Vdg{o_t6Kf-m3i%OSLi_1|B~mn46CELh){ zo1E0AGTfH9ZD9xcjKuE@{}`)f?*}B1^bEa=SFY;Te1peWm%oxq|9R*@3@A1sr^>md zClMrbXD>W2oa49~MxvK*Pa)8u2b-`@(E9=MCZRB1{9`EhqHz@6M%~YpM%Hu@`cB7U z z`?RyrU)aCgC{pk19>{$I12SWMfg!&1uxRzKS%I?+zE!rcJ-3yC^t2Uppqnb)ru2N|C-zAc@d6ciNQKzI_7=0 zOPuRp+K)WLpV(c}=*ejd3eFaoE!Z!iJL9y{2 z2X(ra_P@M}(S1`{ljwpsz=x5%({A=!J5BcEd0}kvrDZs`*x%xh`>O;`t}Ac6cN|%OolHH3 zK5$??tK+%mykNsB7Tvq84UzM5^Ih=zxSuEi96R*&WsX1(8FNaH#8V-IcQyvnTo@Mq zf=+am_kbbMGS42w_s?|xI&+G|7a2OoPWn{dzR4k}g>c0=i<+4$HHOg@*xxLdob-K* z{0qd*u$K)obdI{#j@I)3o{^yaj~xDZ+r(e@@M#h~tQN97yx=1EXjs7naSpCaxnYascn* z!Pa>N#kq8a<;qT%4AzTJzBegHpmHd&&HiT_@L{9~>y6Qwi|yLGlY!dEwf!rK-}RrT z;FEJ-Qjs%#!Hcyrk?Pw)o|*GnmGY23=XJ--XxZCV$MYgRj+4gHgwLBs{&@);e5BMr zZSq$BGB^c4@x^$ZpY}LCi)7wXRK&I909jlu>BnU+*)vVZ_(74Cs|#@x{W;QT9PAkbjZBE+-GV!nTA-*#vvt zhA8;`x(YzxmLYRf68!uT?SK3CKb$XYmuO_tzRDBejWe&c1Uz*Zvnzpb$$g>=u?H4E zI_^h&P2AKWUHu6?eI@_*eP){U|NVTxhMcP&@j5ye{bJ0chK_NSxjH5J24fVXpCISU zg{U1zs*lVuSbLvLR(jsm=~dbR^NV;s5h_jfx$d9|rH2Z0kteb>@55s$w zfy30ddCrMyu;1;Nt@<{4!_UwC*6-U<7|xqcQ3>SAcF~au)B>>q^C7tZyJYYx854OM?^6EEfJ42M32T;-h^ zak8hHiuWDogAanIRN#ds?#mAJ0F>KttH6Wh{yfYtEF%x>5vKeVlN&W;U1N|Vaa(Y! z8R!LO-5~^g7|th;&!*^qc2*wnTLv-S|MMpBExGuyI9tD8aJoC7cXvS#6U`d;U)N{w z!w6ryypQmN9Gk%32ry~<2KY)CaPYl_SVr&D7d%+bQzk*D!^h_8`ZR*g=4RA28-lH} zWxosX5tnJ6IJ%XEu${o@R%pl`!`ec3`C^K`qChU<`Z1WgK;HZDpcQ?AxK!g$o~6By z$XD_M=8#7hoB=fTaZ#=>&MnFF?~Bu(iorJwk#|GlsEGR=?gvmV^pvI8kNpEqZMKy~ z`-PSxM*-02&9b@F6?n6S;4v~TI6o4)7IXQJ$5T2VfHS~{0rqs=dh8`|p7|Tm@;<2^ zZWeyK>#$;DA@COWqwQqxF>8Ge!8N{NW=&u1LE95dPO#ms$aJDtMNgm{+p0el{ypj2 zu!H^rU)_=S@s!KG6*$+5WT9MO1h7H;X_E9P8i|3LLrq0rIPz3ui%WZlz=IWD&do3a z4!U~$>J;MF+xv&$Uh}=Q4D>;quV+qxH_kyP=#}C8y02)h+_#bhvbyg)Vlnz&e-eY& zWrO=qUz{-!$Ag{DfIo)qU(8kXSEByy=*Bn7M_B4cB`nv@tRVZLpZ+juj(D>(@m$)l zI`ZAX&o%`ANVzA42IH(-ti<`uJ#fdpiN9?p?31}hz+rqAWuZ2v*yOEycI5Y)aPdvD zpYV|?J7GVDk5zsi_{nV8ZS6%}fw{JcNFr{Xb|XJNIJP(lZ=*?@JmQbp+J5eu&$r1YBlX*ylhreb zvCEymEH=)eU;IpBHu3B5;_et~!L@d;$Lkz989rkkq`^_+^xY@$VZ?6%pU!HYGd(QA ze{r%-*L@0dQX;#wNuyx)UADH-y$n9ryzlh6XI7p;pDSXwxwg(s*dn%yI1l}ReRvy# zh>!IywpQeddhZsq!5e4(`ny^(=N>$aJrx(+H$`6(_Ja*>B&m*;8b=(@&S-JX;FhfC zv2hd!il(<7=UvSb$9Z$E>>Qln~h)Zh+1pJt*KliXRxyiyeb}R>sp{9teKW z=VjDx+|xL4g!zT{Kk*YvpPyF6hWH))?3B|4zoqm)w)55d-ed4?_&J&Aq&bIhTjDxq zfB5%=3v1O*eJ2m%33aZ+4&XUOiydA;1qQEA?z~H)MpZzh&xCG@9PXM7@Ne1n^Dsj5 z4Q*XDe+zw|V|2qX?+36E=SezsLrw0t<>Gn?qb}@sqqF$&4nA2yIeVu} zBy~bdob~*eKavKv=y|YlIQq#XmszO3)b-JN|K17xo4?JJvEtVs4_=b&52kn%a~+Q1 zc@bS1{xRwGbIT^Fqn?Qz@mFYwZ||l02j&;xYT3$Ax%_n5T@fh)0wZ^hl8M)<&W|zgvy3@4-;f@%Kj5Edoa*&(?JvF- zL__%(-@rQvZ4zEr0fPJe2qLfP)3_b$D8Z{au z5`S5JKIPJ{2N@WaZ_qTmhMSP*5MTb=5Y1`9&wrTpy=`v{@n?K=qffvgkFl;ug%<#@ zeuH_3LBKnmiQihbe~u*X-~8W%5S>@bUoj@+ohjndkqE&emMQx==D>PrG@bm*~DH=OJH$wUl+IIO28uabM_S z?DIKYVhpgriRb5_^XFXTc)KI9^3tC!&D{Ox`5NexX0Ew6dh>i!II&5`u_gS zogP3XTy`x>d=t++{>nB}9|R9GBP`mF3I3S$6nOg5H(acffq9>O9Tpp6Ebaiz<-QP5TcKY`dZE84 zGx`q1n zD%&He0%FWF;XCGDh(XA0vA+A{VxV$d!LzjI#rxQ3T7maUt1ak}0S7dAW3ll8ww9db zcGA}|4tX)*nG` z7^lUj3JjL>20ba|!=wfhubp~9m+<9+hI*085ufa;y<3&S$%3)%2=vOgKOT!-)HXx? zw+8%U%z14|1iN~ZtFck~`9gkG_C)OxWuD9^H=)#@f5`wH@X-INf)~S_%4(q$hWOX* zZhkb6`FW4t7}7UU#a-VYjVr2;{JDu3e|`{sNv{W?z#Q`+KZljZhY(uH(Ib1sfGeYB zYwX7+vVph``U?A8Zu2|gvQpYIM;9VN(1 zxj_q)h>tP9yg21Q<-vDyivzlM47A5Lj6*M_^sgO*9v}h#Ar#8sWxp`pL+7|@?vxxQ zFEC_6p7M>q^PpJ1pFsEF@wC&-4D~}t-7>hxB4$Un>Jryt#3ysx)kK)mXCFuYr3x2I ze+EC92a;;gD^Zv72J@5TKz{%~nR|T(rPBl8i5=p6_5HjmP5q_|ZRi^|v>pYA63@lG z#yF2;0a0LxkH40MDxaU`dBJm}_Ow~hU$+61)nO~*>-?V;dr<@aH65@g&{*qdw9Qk0 z`FR)dgU@hI5stvTTFAZ2z*%H4_oW|rA?uw1tf?7DEdV@;gsv+2%XEwCH8(xkR~RWglYHb2gzw%wfu{1;aktd3S=~ZCz(M*xAzJ#JHYVdf%K5y*MMfM>nZrNY z5!Xd5Mt|jZWzkgK+?Ql*Zvnj$t%Mb3I+1W_0&RuQ{-#NW>e|QJsSj;;0&V7;`KNg0 zTf_gbor?$kleEvhejt5;y-J(pWav!;Y?WVI_p@3t=bhfECB z`wQ~>TsLEhOi~}zs5t56s_F{;Yzr4&mKc2PT(ii5_^Whff&_uVM$$Al+r1wRb>S-<%)n=n<4oeiE6+(Wo97aL-?#(CIi-ikk;2F8#J z7NSf49Z$d~UCcD4(E{exLVscZUiD*%#J#RH{LP|gEXQ21{doHRFCEfp+^n;6Q$G99 z@6Z#MV}23Lyn_wN7~_&m98)?2{X_T3g$DO})Z9_p&xiS?Jo^oi^AMgF?qlM6nC_`_ z_Q_flIS@@3OOYq$A3(0oFN?aQkmQ@LK(8!nfkfX;?RozcOK~g+&VgQuK9V9Yi<~p{ zaIcbn*r_4HeQ~)CodGh|rs3*OZi)Mt_(ImiQy2rjX5k*hJ>HmKa?WlGeC-h}`PcIS zxSyepyG>*4$2h2xYA1Sqzkf^lFm-)3XYnt1<7}MT?xa1C3ATjW*Pf#_GL&y{vmL#J zYimLxdieMr0ly`WCl%M^8?y(%pq7(Fj9qBcJW%x2uf`Yim3&7=N4FBQGZVBFrzXbM8-g5B)_r1$NeYuZ7?8E__*^{>r5u60prT zn0u3ix$X}S3_#aI#12<^^I+n~BnUTvYn^R}99#7sH<{9EAJc$~pDJ{8D@67nMW6vtU4^#ha$%0qyW>DNiZW zPx8utIA<%T3Y>~_i1A&=^TNFtt45(0mN_sD<5aJ22yQR?D}F99I8Jyq*nv)?CTAP& zL((ILzE{)pDs|t##@>Jne4)SWW9uvEjB7|UPVfL`eYVSA_z@xdADhB}_`T>o=RyEHFU;xu65qe*1v$lr=!IrG;pJW^KaN0oj2MjP1?ksW zw&jLtPxfgi0#+s=JI;;sD-2a~B|4SWT&{fIx_Uqc^c`M=rHP#V}K=+RX25*?!r z@0#NF$X6uL-VOqij6ejyNkiWV1J(p&r4q{D17ZqdLF_DCi5aV zH|+cCc^P~J&M%EN(*~>!x1kqO`uH%v2uJ;EU+Mxo{iL8Y<($RZXrFf!_yxdoW;`hM zzuYb~7~{3}1$u{A*Qh;Gc!G6y1Zn zTeyz_TfF5Cc$Rqi7@{Iae6OY;XwUN(YKmV;<<-3=^Y$QO?8Hf2L2er%RYJ?K7aek9-45p*p z8&>A6A-u%;?)0~3Hku`rKh_LCN0}G=+KYdCM7?N2>%rV0=Mg0MZ_h#l>ffbJ6{D5U zGucP-uA_#JrM{d$+>Rbg_Hi!uCS31pW}LttkZUOMyf7D`k_&jn>}Q=HO1+CwSl-Hu zLb-n_7Q74QtA)l1hbcJ7Of2VB{a9kKI@V{agZKs}{06Qm_X~XXC#bl!wz-B8+pD*Y zcO$umzHpHDuz4c(W1MGv?V)oS`d>0&TR*liLwoK#ZyWr&8-V?T=s2@ts0;JL+n8h? zZiPMz;f+7^Cdp&GMt(JSNJz!mX3>dL;2*odAn88fC&z(^?dvN&;Jc=zQ4oWLH`);X z_)~7kBlFMUZ3Xmvt>TM+fx#Tu+f^;}hI>H29jSbYM?pGQt+685epbCG--{-2t`qz* z=Agv2FXh{MchNn0n^fw;VB~qRqVFbq7a3I;ybpc)Cdt+G-!?f9c{Q`}XH{#Pv?@ z&|mo8*RxTAa-ECv4YnIMIFdv-1}8to^CG=;3CT2%12AVID8Lmjz-q36Ngr~9q6_hm(b`WLU~QU>gmF#|3c^56nV?Mf6!mKmUp^m5oGjxD-*n>$L7uAWID<@XmHLsj?k|fR ziBXQ({qY2qE#S$BG~r1fKraVlPM57nlsV-aH+)^p`!S$dheMpKEDuX%#rEi8i=$xe(l{`zJg|rVrmi*hBw^_+2~RH2#LYBxxMZJV~xOIgmmT!|=o2Ome!N zqGb=<8TnSx@d}F!#?kDHvmYG1+?L+(>6z}I0T;A!+b;<|hWJ>imn8=R%@(`0W#8Ch%! z-mjcT{5s4}IlmRN39?Z6Y*VQ2I~sZsQsW)}2c8nP3nQ|?yXIc(v_8nU^Ygm*jv+lU zEgk5}(Z4>Pj)G5yzi{L$rPuR1_?BxAb*uvYr8!?L7C1<*G8gY-&FQ*ROYZLlHz1Jj z*VtzY=dI-}LwE*1WXtmrzcq$9Ch-w^1`$?DyQ6Ii9PYs}3P4R}p9+~z1y=TlMT-~G)=@a?#cN1OY{Q-JWBu_uktX!bE z&_TGzHY-qaCSk~hzQ$ZS75YB!qyC!;Zo2U7iw!{gGR9}yDIW#-{b=qVb@A04?)zX` z%f-|1!!T~fAd%S-F32&{x9+UGAG*1bCGUK1WX^H(9 z4}>w+dcU?w)cwx8TpA2H;`q1uqKnV@3|?am6gxqG5uZUBKh0erFDCuM$cy2-0YIdJ za8p_zL!UVNg29Io|2F)VyvBZ=8X|ep0WGc=j8`h$hv$X+=qeyr$o$&0vHItuKdeGU zBs`F>rsGIQiIn4e~=yiF3`H z?-hrkH-$|%$D>1{KXjU<*00u`<2U#G*M5#}#9At2aLn zdy2gU8&fKeq`%x>RIqsvB)p6VtF5G0cIr(}S>M&`Y){f3|H?v~`~T{Y3o(`D)<*p#heA3SiP3;^|PN5dL`VG{?4~eRE@y| z+2F(Az<-B%zuILGTEM$#0eQc8U7+~P>)b_e4P!=Qb)OsyKTx+O+>lmmKvj9$d66B# zrvL4(=HrNK>#hg-iXUQJw_%!td*h`0tl73m>){tyCxaOKd#SZEl`OT)-+4Zs#velA zLQVo*W@AV50_jc2f15-QcWZY7XA^kQJ#*p1lRc&b`26dzFdylvy+@e$=Waz{=3)xn z<@-7O=klKKius=Rrd3Ekhu~lI;U4EnIA555Suaug(I3CarHN9Ih1?D5;X8s~@#Mnu zdAZPEx-;O(-j6sXy$5}-Z1YZQ=B~XU=PS@lUf&!x5$NPAzj)*@FH&0!ZXT~e9%BCFy0XO;?i&40HHy`g_xu8*Hwts(0BY92=B zQFXdC8Rw>a^k>)$pg(63_+Y?meADlL9`w060`WEB!(pG^$_(|lfj9mE^-+flu?OIN z|H~M9)VS{T+?FP4g|zwI9cijF6nGQM)tw6yrMJNQdoyh_Rl4>b^NZyBFu$-r?2)^# z<^-Wv%5$7)BlpffptHdpR?V)FMfO}(_ZJvTAtdEi#65}c&G1|P(+? zt@{x^OU{LU*ofXq#?p-q5kJ0h5L^%TL7_*8WuQX%jO00kpMS-<21ic^2TCq(!?@Bt zMYCu+j2IpbG7AT_d)ZDZ5QHe=Ya)b!n6Aw`3BG^PV~Ksyek_-tfMHF3xv$b@ADVs0@lEM8k-7cEw5^Aaa4uufR26=yZ4_3}e>KlXYNEf!aksSlN zDpU~NbgjRMr2qVrGrfvMLDU+|P3#x_bvQ|kcNus}oZDH5^N#e~y=an<}Nc1}pr?qgZXog9YzORE^?sxNyH+s($dPa>G%x>$;0 zg|q#uHTt@xc&)_n<$XUXNfb`m=DOG?BX<8B`zE;;!j~!Y^#LE^z1My8@oj{iIOb*<<#@bEQaxog z?lr%>+W&kK4F||NiK0{Pm8`+F1e7@ zJsnFC{)G2mqe<=woxz{rT*iKI)47)mym9f*zXi7$Y;Ht7437j9rnz_$$kALenc{~8BBzxWb=N}x>cdF~BPj9k`r*m)`$_mCf;zI%^uI1-;X!;p^0l0g%tO8svdN)~>5>bd z^*&Pdx5HsS9hpFv*mt)imo7JU0on7i@r>_rcd+l`BAIg`gcjCe z%ZChBpWFO52J=HMy>?T6S(6I%7BPc8Q6}ZBly5ISjz_Pew5K&|ICYg`sw;-b>&Wl3 z{pu%WE!?d`?q-60!~27`zi=oPEeO>fm~w7< zPJiVZvKUw!OzHr^l56*d&JW;&HL^5AslPh-Cw7w zPO!cVVSANmewn0w2kX!$j$Z83lM4(!E_*?*4B!Cmu5db!IBKJ{L#aRtpFbPon}S}+ z`tzrDwTP*Or$%6(%zD&K7nxVDe@Iau*Ot+=4A+|R5k*Ea=O50XpN$JaD?=COMeHjx zUCMmWy!}qxBYEC1Le#IBZlad|RNe3VSA_6Wo>T*$pTVDA@uJK6xCZL?lVqmuY$&lo zUlO0w?ZCC>#m&hggP;DWAW!KfLfe!Xpm_KH=DBFQ-iS!>>KC+2<3OU+h5uVfzP z(91>uK;U=&Gtn1(;rtMyy(&?Ig)?Uz1HF=cB5v-Qb8e4jOH5m3=a@8C)VIC*LEW)8 zmfXy6(LY}Qa>ZcVxz)-j?LoTYBRsZFR%6BgFllv`<~hfD(+tMVV=isM#Bp-rzJ`*_BHl)L-C981c#e*U6-q*Q*&N47W=5b z9`n9%-N{CK4Lc=kt`qwyxi3v9l-F1674%{Nhxq1oxa!k)hpM0ID=TWu7w~iN^K))G zxfVTtg(7v#`y8vS+OG?N*8F?-ZmBeLG@6srMr*(DvLZurn(t%Dok8o518Ea*8EfC+ zTm$Z;2>u(UA&iR(A;gQ4XD-6M8*y&)#|Ux;&ivPA(Erl_Q~<|#ErUs-1BEBndaapm zFb23zwB+XJburU!=AYazGPu5H=_othXFtp#{PupW2>uCZw3{Zr38p_^S(-JpYDL5I zW~1_<5|wa}1A3+07tT2ouN6Yi;$FdggW@=a@v$gS};qXYKI zoT6#lvh>^_S3)~Q6)DrAn zqu4OZKKWnzC0%NrPKBs5E??1?*tXN4KlGPuThsIYHj+Qy6N>NukYn=;7r>K1UEXZx zLIZW>$Ns<^-GqByY)9%|tSNdMc;JFwiT0r8hp%{Qj(A5c;#%N2e}lWnb52kf;lwN- zlu8l|a2QQ!7l!lnhG7E6U<1yVUEB-tD3DsRAMd;@Yr!O1a zpH^#WqV#VLdKXAzfFt`*Jz3ws=1AgrPPJ2AXbW(<9an_WB=pgSz#qh)&a(T`mACRP zlK40nJlIff`}s)O_s2Ix|1|8vM_d!ABMV_ExwKe7#(E!X{+CI=?!6&Yo&!gpd}%J{ z8$Y}@q>uW7o93MI%S%q8vbTxE=IGpB`;Zz&Ykv4cu=opWBA>wH!tdrN+0V~j;zJ_) z?;b-a|DJ!dP8Q9b(|py^PNjS1JoU3b+c}t+T5OvI-WT6LT|!mYzSN5%{vT229ah!3 zb$g16;EAG$Ews1d$>|I!Kdhj9p{z8jTub@3BOUy(BhNzyhe) zYgBA8-ZAI&-kX2E=bYz!Q8s(6_nmW$@f)x+xY@<1p3*Tw{P~{<~kEh!c z$4LvUu~*`YLyRY3JG}YD=m6sJ@yahr^6^B2wRg&ybiItiF{?rmeY$HWs3jA zerf^{U0dW|5J$-_NuW*)dUr7qKh}v6(Zaj$csN_W zUly3xg$E4oQaS_mX1gnI+<2G@f0KkZfv^qtE5a5V~$cL3B|z{Q)_wv1_rBF$saCinf#oTl@Dp z>BP3s0S(+W&oT!5F&02?v{b&ss}F^svJ zXCRza^XRx};yS5Woqebd(if9H#}KYv*F#SS(`znjVL`JYGYe!E$m`0D-fyl~zx z8uN?f@;nXgt-Ktp{FGMa+N0GYiaw!!u>QC#dJkNEM7cbJbIqOwnaY1I^e5Co^!=}* z2l+5R{;M(rt#~)wzD9pAe}V2)5Keack(t_S-@QHk1RG(CMxn$p5m&2`#2A*}#$Pui zzPaK{U%+yAVt4oYy)ZJ0|vM%oKMb-)jYr-9t5|D>6a+*zIZ=@=SBLG3f+Xq zva^1Sa2Joi4kwO1ru>kt`ofDlMhgy-kF}To{zG}_GOP>r@+55Y(=K=f5Kn9WK5(Xb zyl`x1uRN61xg`9Xzq?D0`gBX2o4l`cOHkiz!(sz9VG9#}Poam1;r)a6^eEmNzL}so zfUj{6=AJuellBXTfj`Czk4@QfFUc8Xys5KnBIskz63fYo>U z;e3qvTW=&{Zf5_>y#j-AxJB>@ltZ1->D7Vcap7sx=?yTya8In;XVteRxKcN`PQE%{ zO}YO*xr8?DN`G~Bq%J%_e;rSZiJKK0rd$v3S$n|Wwc>gNUB~;O4s^cWo5tSShB=A% zfV~!jcfq{+O8&&_RxsI^D0dYwSaVIB(uKmJauTake;^IG%53>7;(N zL!*ghwaxwFXbt+9hGX8B{*C{I5Xak_XBnE4dmXGfP4u@l;yis;6oDeTVQy{~jTd9X z6@%|->t3Mmm0wIBu}9>b$Y2j@7|MmyWyYygcKo>L`)G<4algZg#hIcPb{^hd_f6iR zRF@6($406TX?>x=GT6m?A)2RM=}!LMV~0+8l1xpWp?D@IRXNW=CMpj<(t*fW>d61R z1@{c!mvLFC+CyOqAjbZ^c;`ku=DZ-}pZK)}J`mE~iyyDfCaks4SaZkVk8^Uez2w4w zv%`Ld`x-`h%D%G|_6E|2S+1MvwjJ@mV?FB$^1>Luuk`OBd&mP#GU*|%zwYpbaXdAp zJ@{j=z0IzXO10zA{DtR*dv=Z+8B}wHh5rHPM42P6V{gGZtOZk|We>IXS~l&#g|%iQ z%-`^J&jNQz`qFp13m@SA$9QrO;GYFaJwwG<uLNsj}rnqPIcBWuL3kAv68_SiWQj>7po>KU(jwO--0Pz;X6Mjw9B z^opc0aNP}9=uKOYxB8_BTur>UCOyP+!~1kcf9b>hHVF507TRY7(MmkO4RFtr{Y{f` zbe}DnI{;;tOm-M-52 z{HE2HT#vQzDE2rdsV`=$1Mzdw9Q%-L#6v3gMb3?Vs)g4K)=5^jh@n>&PgZ+uLvIu7 z-ebXs*|Ke*=cHiu>mZNJd%nn9qe-yz@Wb#pnD89;?R*5*;kV>{tRv=q;r=0yEIoU@ z&2>L<2%K~D-8wJLB9jQzSB;x^|JuSQ#5~hwmI1`ryTBjehv8npJ!OXU+{C+3HGTo? zwxVdPo9F(KNuWl2y=YW>TFn=@3!&OaJkn3O@!#Dr*r&RpUZ`^0C%eQAVZmP&9vp7~=)fbyW;y6HW(Q;hZ=m?DJ# z*AV+L;c!g5YjDn_+8%r5hjz}PhHhxY-HCob1`y5;AeJS}T0non@#(+Po>riDZtmcT z${&B+gZLUd)&2`V2=j*USdW(&XIHuIjys)7ESEJu5Jv2S9&s{*SbnSdG(mN_i6-$e z)ZH8{K2*>4Ib_EJ8GI&OTUN79BE{WkQEy{`yKsMIew(0NWqV8UZ6&+J61N(Rfe%Y~ zT|Ej6>B%{hqxb3ufvS&LeBmh#F;hM0lB?zhXWHrc^f8y3G1zU2BOz7iuzY_!9sIT5 z#BEQ*iPy(fu}^m7pal92q#t9Nw{T^=%yT7=n)yCQ?}vl@MIW9OoJlpfmwQK$a9obz zo+ZB7#^b0G`(c}VORqr024$40o7(>7uoV5j~gXh6v1=kGrH`VJI zqdjILy@_$_d*Jit_peJMoG-k8xa_FBqNSs04fwy~qT;AJbb+*!iL{7|o8H5B>SK zgBaJGelqwAf7qOU!Be@;AxgiuxQ{)NK-X1cDZZdR;1fEvU4p(OF6R5U0tNh5ZffrlnVNsB55Fbr7h6J=b9Zy3_MJyvH#kl(ANd#AN5Y>B zs%HCx$CBk-PCpJG85cFSFzKGMRxFJ~-0%H74}yxaYQ0k`asArjDgoNpc)(5egVyh( ziI2ZiP0;rP%#F*DZ0-H}>#o6L{E4ad1Uhe}NoL4h@}eYB{hO2B14wGmjyh9oUi|k( zuM+>$WTJdu-@oimeY^Krz5n6_(W?m0i_BNoiw)+t&i*Bpi@U+dII%kgJ~jqaIjCOgYnv*=5Il8!EZc% zEJo*<<4+WHT83fobPB?LNTB+Dn)ncCZ?m7KeKt6amEXaY3UQrC-c?Pw zCxss1Cj*0UqmHBcUMHik5xfS!=HaqG+I|UqOE#c<6G?W3v2BkZ^wPZ{?qky-M^0{= zL!CJPd2*EOt@E(|;63d14`V1CFPLe|vq=V>j7VC5_pBx8(T{PyGo%nBD!PDkJt+%iAHKQgQ>q5a7Vf_`lDaY(mhoX0i{pHZl*|k0(-%F&Em z7#rG}*z11pUbfEhxR3EM*tbc5_7v=LR=ybKmk@AVvy6!}^G6f|7Ijzt3H;{In&Jf= znW%ifo+ZX;6h24YOw}Bmdl)g!#49a>fU&u9H57XRe%(2lh+iw)hDB2?%sZW*XG<>l zp>3}CEFR}0=g)@CWZk1yI3BNg!AJ|@IKqrmG3t}W^CIu*nuP{Tlk+PWMj(A; ze?}`G^)Y&XRvpmGm3BcDNPAR`Fs|2akNM>?{P|VCaa3Q~^mvlKLPI&Wmk-=D25?_b zlSn%K7mS%zyh(B-JCQ$_XMHGdAapCt(Y?=(qW^701Jmma;@{@~UX7s|u!r57pRIe~ zoJeBccgss&WVU(C$sa1>Ipcf>^l84Ijc$crSSjQyG2l)%)ox%by$0r4>BKb-ri16>HJ6wzp0aKl{Tr$iDzP(`rOC@$GT!T=ZD-{_;_Q!TH;m@iD5O zrFcufOheqq7z0)hJSF9XI#M?VTta`rb+!EdALD2rY(SrGCK7Ysp23gI{YP`g8mj9* z4wmoLnPKMYBODh+T^_;Ek)1{R`*S1xRRb*?!*k&iYRwner~br`=NUibEBSLxEHgxY z40WN8h<7`|pM2>=)$nbZ$Puy8-L<{mcg}|DobT_a`qh;JgLODdyHM?&9|QkGwS&`c z-%Tc_tNZs%C4Ak_*bgv?@A!JlSmlNNiRT5qNUL4Z^W{3K=i=4@@_Sl)-;H{sUb?U) z^hz#Ldl{~Mdl$0l=2ljYOAW?lr`4VW>X1d{4gt!|Jm)Mq${kDX ziEDHQI8IdV!Qt-IgY!zJbjc62ElQ+hqy+2$4naz@@M~~m+A!ZKDNJ+Nn=^Eemz$vT z)nM$!0ZNL;yw6<3o!HM^8a^xd3Hnpn-n-`^diywFunf5d=IK6-7r*SUb1XC`@NW#+ zxS^0|c@C|7$3-^z2Kyr3FG4Q{upUp=2P$`Vu@8mt;`qvE18U>b#|vHQ4eNnj>~yb$ zeV_1;Jss&G_ik>Cr-jYs?y&u2Jos#cXsjz&7ujZ~Wzij5-)MwV}bL$VkE9W=d zp;!K8p6wJ8t-RSQ;|QS=kQoaNJ{Mk1j3Kl)j5Mu6E&;)}6_aAMk6>^xaV<_N{K=xv z!Eb4Xe=^s_iSJ_DJLLC%b0UWtA=HX5aw`n&#e-jY3HG;Z0^bj8SLg)j`16U2cO!C}6-!@ib ze|fhv_?BD%y9NF+=9j~tEdPHy6KG;nD5S|IT93lH-Ls>q4E>?=I_1!ffe>B?=L$dY zqz!nm&=I;}j6LrxHdr4FRDb#h z^a4pgi5W>h)EZaSZL{ozD-d`iSNF2B90|0XiTBW3-hhKC%_C?z)|-LYkKeLtxNGv- zNYPV|XW@Kd!^9_W5b*Um`6fs6`VRiW(QDiV??nz6#RjPl@ULv*YuvD^>OuCB~1yVr9*-rHSmzI-Rb3^uOGt5A5J6U+MGs zp=m1`EempMVmYV<@?v*kH)-wYpgO|nXma5KVQ?=b-`okgVD9t6eGD$=f~$RP zqd5`8v89k+=uPD3d}FC0^VJP|>22zb@2kv19f#5L|Hg0e0hdYoydOI&hqj#hGEW6e zR3Dgi59wKdmy#}h(rdp4KZJccF~n{ z5F%fDtiH#7jC0$jKw|f6i=IB}Tc7gTu;V~OZCBMBimTB~E_UD9S0 zWO1N;HP4)E(IY1!AK=3S#4#_)8SKE`WfAii;eX3AtE3a z8jRJO^KGckf#&GdV!z$VWcANN&k!Fbo|ki#w$A+fDRS6s#7y>(_tzDhRMlP0aF62J z^FwaJORx9}^8p7_%fg9keDk0SYQKA_!5Hg;d(}zmMlNQnUw)OR^#47p7@#`ABxku_ z-=1Pm9A_W;0lr)w=*M=~zLIxo%7?z4NF{hov)ykSdz$a)x%P6Z-rG~ci0cpUEzQvV zc36Vkhto0dW4qGm{P)qq$NcJ_Z2AfXg>l#?GuNaG=KXdodz`@SnXthGPxNuu6=%i0mw zly7efUp*IF{yL73Mjd={cD^C}IOGSVFC5&!;V=wDzz@UNnr!roi9h9@BXLc4vo)iM zu|(lnajHY&zRetX`iSRaV)v&nMj2$zpv(Kg6fFawIZfcf>-#ABaHVd;{0UjqQVPzl z7!%GeZF?5}WbuhXuM{1{%Y!zu5I?HS_>9-{A}<&Ewmm?oKJbt6=Q24{{Oh{|+Y>Nu zUG0BBZkx}04?mLHl#ka94|bBcg;LHB_-2E5;pEykHu-U~=J@hbl%L%my~3z1J6$eT z`K7;ksQzCsRlhg2;LlkEQpF87f=a#hpBgbFbvfn{1b6+Ebj&Z(f3@$f!K!$eoxSv} zy)MY6%oS)@-t4LTFZ(b3$cvn5(5C~q!P^t46*d1ZkNy|d&n9;lu1PiPbUKE$`p^gP zdr99%iNU{~s-@tivHv9p`(#`@hiuBw91VQ=Z}&e#`;&j@^1$!oy} zAbzbG?!sU7FO4UAS*%zPk8ytRCv&R9b0y{#=Gmka8ry!ZaCs~4HJKdb&4xdjb;IdC zdO!NgjPQ2cGcp4EG3Gwo+Y!^@JN*tG4KHf>hTchaNC!AMoUeTJzM-E!}^fd~_H@-1BM*U*Dyh-e5(_;yAk#Dac z-zN6R>fnvDq5Q~b+H1a|!HE@dvd0Yhkf?otb|Jd2nF;*`_?=DAFYg`<3;Hw4Ty>DS z*pC70VKFC*76A_w`QeK3vTe(Ib6Pa=Vhmz<4c|V4udS5_J0JcM_F+xy z^W}N@I#zqcE_+Zr6jC&S{*P_hg1Qa?1lMt=*YNW*&a5*0{46W<91ua+G8R3-T+NTu zDeqE4eBWvI1bWQ$DD0CZ_xQn6`Ih|xWPY7?$e9wjQ0SIDp^f0VZL5izlYHHsy!i)q zO&6Z&<_1Y5ydKQ^UAXY5MH+>0VD$Ge<-B8W#GK<^>oM>1+B6LF3+FB;MoVwov2U?w zLS4wILFkD<-D+X~zb?i(bTefEDoV2sd(G4$1rRfBy8tFf@Et$)qXVPtr4prhtc2 zvMyWugbE`y-`?0;=F#Qe@HeyX9efjKD6!|^-#CW_w!|&qD-NU+<9S@6 zL$Q3newQzyX0!b^r&g54g$&47a=r84)zD|ed=bMz`$OELrAMVs`6%KT;^UhI29KTn z=Ad7f1G)v?%4c31OBYbb(8L#g&g@t3OZ%5@Uo)iV6umfd9$oV%w)MA;^-%8X%`$^I z3T@zrk^JWfE9u9on2i2Pj5QNSw5N9CP?Xy^l-Ne&AL=K5mp*R_4ax2F4VB+xhb<;z zJWcVnWWp_XadlG)ZAUJ*b`9kExu6C5?Gff!<2hwJNr^=&@xT5t<`>!H;Xc+3cEv6a zqDkzP^WYytZO2#e?GHk&a?YDlgKI7vH`&WMx4Jg=J#0_tI!rkikpb!hz2dBSI{5h$ z*%m%_tFPlb^zq4qdB->gT>FWDH0?!r8Ycbo?`vfeUxR%wB+&Ja zSfqlR&b;DfYon<=#{;mJmH9asynD!AcN!$pzws`?EA!onPwl@P(BsGF#howyv3AH; zvcKeH4!L11xGgl_V7=;7W{z@grUj}m|C|rO72D@#Uo*`^c)DtTTMIkkF)dh?t6aW6 z9Eov!4V~htBYc|^alY`pw{G?=V=&$mrb&_N_ZZ?Odga1v$ak@h4MGmm5 z?K_mAI#k{mn#eT|3E8^01+RSE`das+&Uk4L-ra2dUT+D}_jCjJ-UQ@cY|N6qrLFYi zMvqEYF2i(ponzYj>U;MM`o(yjegS`S|4W_c>`s*4deiQ91Q+MZ`?cX?<^2DyaiY7W z`Cc;wj|ZN%@QX3;%eamEm^t^`RR_<8xwyrS>ML6|TKDakUtBTh@4$TwDX|@oa3A}- zD7RO+J_Z%^!Uo}1FaiFLV4*qjn)wLymlt@=Y){OhNuW^f^t@_>04UUKZziq8^`+k~ zyjPf?M&OSL5UI?teYj_frIm~H$+zlfB|2Thq)hb>3~aCclxCsCYU%;xUu2K>Pocr< z1da3y>q4eg^&J9e^71!$gO_ zyFNqwr7a^9bU*C~{bd;nPcgqdhuvrDi)=~(Zf9)sTsqck(^$VEaLRb^mL3gZ=@S!_h`)mlurM0W_ zEk9Qy6ELGE;D?*f#;o5QwYRiEyv`fYt0c$jU2I6cYGx!=<)E;qmv9%73v$G-aIFIN zip)7!G>TSmFblaj#+KeVJw|%Bd&FgH4+EYTPws=b;6-zBz3YN`jr%Vj?g^pAI4@$_ zfD5;f1@vNrYZv1C+7j1Jm_??mk7@yQD4vYneC7UoscI|L7wX#(($gb1Z%s>_*5%a~+pg0`k|)J+BQu2kdcg@Vv-40>354 zmKRQlQ_jtuMCDrHdHIWdR`6REtwliLZZLtmlbGvaPNQ%wE$bU4KIPsi=zrm!q8eAl zZ`~jBeqj;{z+v#~p`TvApRD|e>=ddobi&Z5^-Ss~ejP&%*$_3?gLs_mQ7M(M zjrHto8=!iA0rVH>(vvF0XsCxZJpdQ8N$&c7DT$YU zq_}Ao!iB1f^ObYpt=A#1B^S}_#*Nn@#wFwyMF$QI)cZ+}5BbW${aN?t-?>W8!5!yI z8~Aw!?#$Pq((kk=3%+9p=>GtoEMI7!dC}JZb&wWfJrWV6#a zzC7s5;l-V5wR?n->ahrERA{5^Q#ybqqA zg69=@yN4G3%4@0s4v;I72aSRV?qAmz%d#nt{di|0=^y4QHu0AG;O_p&?Xd6#{e|}r zCir;Z_BglY9{xNAkj2?*&iL1K>c#@xRd?0jfAN(Z_T|Qsk|?Eaa#_Js%e49jrV@^j8Yk^V(=K2d+PMcN~fD zyK<8F!Yd#jCjIOC4B~&yktQMPhuC3GW?Ue#3;GLc4VNLmf3Z*gi`N6L8D;E4h=uQ^t)Jx5bAG z;Sm%XY?DsrK6ZZa_M5b)yfj&QY^Q(=`zwz92G}PvXYJCb7}X7yco4^XmRUp3WPKO; zwQAV9KKRQ`a&UF;MQi?jdjv5q;EXFc`~pn4XB>jeJ%5e8^wV6n$f4dWXt@j{mOVcE z1Sn@`i?edto7ND%YhHtiR1^J1n{9fK!=SY`Ct9b|c;Eor_$O(8qQ-3lEr~xzy&dvz;(r1eG%pt@h`()&isV?eUW23a?`sTxGSvJ^lh3**IDN) za#xNCa?Fy8?_x=xnL{}uR`O&&+=riDiktHd_A@M=0vi@?*w%4%B&}=!Lu#TI zje^~5=o9o8!bpFn3jE2;X}vg#dhBRI-`&d~;U+yBBkz;0>DVW8-&8dCGR!f%?nP^m zM{v6h{e^j0CqgIzVDaCZ=V-pgzr+xo*4Uv(tL zrVa(~;&jZqc!&5nLV9%4&o>f@>yK9>FNP_khC_QpIjI+e=}!(w-Z4`yPW>p_%KA-c z7QGby=2e3^aXCL{QWkT}miZIxlt&k}@F0#UO?v;v5F0r7$+ja+MIFAi5?@N4A(`rv zHg8XUT#RxHzEtj;>FTH7_htD8WS$ibxQRT?=u^SW>Q(PVYj3P)gm8GwA7&Hx<^&A}!_XXp zT6KG3xxEzm6OqeKcv3ttjA!9n;F#jUcFx*={-?e20CwgQ&xGGndT5|m^7XYh^h)NDZ*(`O z=iQ-%e;Xxv`U&t`E)iqLHG}yX>$YUlACPrCcKZ`ltWz$XJhXQFTqPG0?(QHf znu!=L@ePi=bDE{yGS`A?)KCKFd}P z+@-sQaIZVq3vYhqPR#r4=g0FR_pmqqB)v!9ITPFt#~RMEmt1(s9`xODp-9{A(wDtt zdm1qxdog&_+{W7K0Q{D`zk8f2&+BaPU?qovIhgmL?cq-rodNSc_f}qqFEF>=ptVz= z-z8yfy&OC*$phednZ^K2_zZa*jl3AI_o;~%!lya)Am&RxBZoNtHDn9&-1q@|fM2wZ zbMgZM_1+)mLvN$;rhNU`5Z-)4S8_ppaG(0f@8jNFb8;@#XI*26qdwnwUU1p}`P|NM z`W)p0?sY}iw9|+9WKxf=X<%2CYMshA=pe=!>WBooconCOC z)LM7K_S1c@uP=et^(h;ArTo4s+Yo3-#p}(ReEwfXT=)g*PAf%9A*@n^!%6kXHXSD9)Me zsx)5`3;!6$5IPp*>U}ZwOW$i=n)(l$B~dOHXfAGqAN5QWfEU;&5UR=!D#xT7C2rA_I}$pSNZkt66iNJnr?7c4xvQ?bzq|!_Q_o9 zo!$hz59ky_pufnyA}U{eibq1ho8+SAOz4&9oByQ<`U`(Bsb*x$K>R>gs>}tW3+;&4 znD>$27rbbiBXO+6s%AV{;$!&mYOEx!sCJ+h5o{P)F)kY$dbp%k0HV@`Zg$s zBIQ9SHl){mx~=%6nl4UP|JUE{nlD(0J{xdnr!;D%IWB)2V$S4_pA(5?-y?swBgQUv zX^1^N3ySrk2-7{3@dEY3tccO~_6=_;#{~teV+mtlbdo8U4m5gKGywC9oP*~_6Wgud zZ;jLU1Lhau9yJcp{^N~?a*6AJ*C#$>bKS2jjUwrRnVm&*9&iBhieYJullnCL{Jcnm zz7JZj^^`>(RQ-V+A|rTSI1hm5#g}t?=d5TX_A|3*XVOp}xUJi(|NBJvcyZj%Bz@y|n#F2=>rD^p1Yo)UAn;>WK_KoK zpt&5ozQQ}d*A;pt8=p@{h`#DM2s+0mR(wkhm=DHuTVXHnx$8K0L_c#LraX)R0Xi?w z!+nhNl;5C_4>6h}Z*tX-dA7Uyk?qsSH?Xs z4Nsvj3H6C>Cz*tkHhoPrbpen!5WY6%jBgp6tKa9^i4?(rhAZyEajAg*7xvjSt8FRs zS?KUs=|!7-H-{weeyYHD&;Ent9L;+#4phIpF@hQ+MirK3rsrC`D{*^!vj=wK7f&cR zQS{pO`!`W}F9XXl(F?j5$G4{$J=&71qv zM_xm<&!q2h4Z75A&L)rRyR~Sd*oEF^P@V&R3`z!FAd2*jbUGTD7_paLte{Z(Q zUj1BbNRQT1TLQK9=B;_?du5Od=6&Y9-9EgD{8zQ|qJ>kj!9w}`OYwW+y1$3k_p~?b zn!WmmkU#my4NZUjhAEHD6S)BJ#kZ$A6CW=VYl3eHkWGdCx$3*^jQl?Pf&WS)t_!Q( zK8bwTaPz6e;FmR8 zX)+i3)%K!I{6#*KBmB|X=d+dDGj$Z52KS-__pv-)+^iTwZ6R!|g8m{r<=&ChaV9p? z$cqWT>I8gz__Tr!p&tt$(19l4KuzU_oMMCH$bYuBmG@F_7x*pjop_xK{}@l3Mh##6 z+>f{X;xn}tU2$74_=nlBd%vyv9WH{CKP_WL%+qmS`X2KQ#B6T2%!(n&Gj2kzI&J>_ zo-tqgkt;!mWbXP6N72XU&Ks@zYf_xfwIzuJck_Sq{t4E6owGqulRNweJ`89bxxMldc%t7cp*0ruL36^jH1_@?zsYF!-a)5Dd?mZuEUCG=4U) zqIc%~B7bg`Nn8uF3HfTY2$lbUT%F9V<@`u$F!mH0vZnxlnz_VvCz@2xJ(5f-8GDFx zMsoKSCV4-u#q%PZWz74G@BCCDmH2U7_Re4T=9u@Hb2$A0uAV&+4kM@ugM z#$7}19hL3LfKi}uVYcWROOIfF!5A|G=O#`8r)Sljg@>^((_VTvr{sbM2_4({pbOpS z9?hv~%7e5^(%fG`iSP@`y-ZbIds&$9AmiX4ll%hwmf}b2W>Vg(Z?td_zr+0UCwMIj z;2#qX$z|{Wc;Sy+gXsQvUf3QqbA|;m-Xj>#3*(d@FUB60Yee>7|HC?ObM*Q#|FLBt zz2%=f$VYpUE#M#H0pN8X-8Xc$Bc@H)7=a!a@UrTdI|>hJ*?H&Z<@VDkir|Y8{K-wYuyyqq;yBRK#BAk_4}tyy z8Pe*Cm*$qC8%q!J@enz0pS6IFBLUZ9qdOZhzOy9@2Ag@N6Jx}_hF*!~toIL{d}$YI zJiI<2U&%J}&(`ASo6#qc>h90 z$9XPrs9|$`bqeQ;_*vk$lwLLHl>_Gty%3obN4TACUIc%j;2GWq%l-NnZ$osSy`{mL z%N=K~eFt5lwAU&mi;5XYJ^G4K0k)COn=|$KW_|xO7MgvqAL~3PYPVCF!8ni=7B1A9 z3)qKS5%YIm_CdcEvCq%h5F8}{N#`uvp141=_vDQR_)x*5c>%b?`DHP1W zw)!SI4{$}Dk1>=Ae{FN@lNp;c7y1kPjT+PmP(D5KV*L?lnp+Y5m3)m!j38$Y$d$)@ z%>IWc==)W0gKun4ToZL}9du0o-d*!lpUN|To!5IhE1!LrJ#npeyuuU7)RXyd9<`#n&xEJg()ZLXolwG(h^9x6DAXZ#(8G#xM&*BMTXdC zw?O)1mt(GS$!{iTFUe1sU$_A0c03`r`P{L*CGpxk8S@*DSK*s;voc5onZKOUByJGH||nh9=U@OL)+Gx6}F3Dw-l;`+wO0{(9K?sumSU zE@{kqFYZ>S~+Q}<4ELf>_0g#y0$8Kee7df zU=ZV@kD$*Yhc9^Fo6`-hVNHyZo|Wn8S(J?0@mS==X5z2EU|%NP!mYmRDS!3JrFhW0 z>07$*SW{*&CfK^R3wiNk>klj8L%ak}iE~tA4meO}_JM$##CgRt@WX%-hKtm7BN4qr zZsS8$*Zj*w*kX_LElXBk%+3_$+&Y^i-*^l8eg5knKIG-`Nw~HtE-JA7gC#RJZQxo4uY!n}Dy%bWb9-!xjI2$9RFBo8S7RX)k0k z{FVSlcQ2o*+^o$Bbi5&ik8~5QLlNh`CDHTd3zwyNuiw^M>c<8~^2vf4DXfz2xQ5)CGTX5({e$ zMo=v&%rcXG){~L0)P;dNN8lf04%eUH19Gosdq+aM_o}*Y<8)pJ?_k<1eo+@0GWTDM z)aPQGm+a{rEOVvD>fEFpvS;pO1AnrI|DsJB$;3uA0Zp40!`(eIn zrTx(zZHQ~NkN%jb_fz=CKz|wjM~7(bZ66Rta^JZG|45qA`PSbtn!EeThXR*k69&Cf zo~Kd4#27NOAx^|~vJG#K7Jl65V{rtR?`Ws`N%X821TOe3|1aN?<;to2pBeB5e=`4` z(|1PE!-9<;d?#m7lo(|5jH9Skor~wCJ}+$HhtZxd585Yxu`+}GzFR(_zmoTFtE`CY z4MLqWRrgryKw|TsiMujk*I7aA8J+nbGo&!4$~E1*x{xcdEEviQl$cTCa! z)7K_SseL^5Ed2b}cnn|QA-&W8wMZrLtyK#k=|cdokAFRVpueyVms>qj^KUUF z_yM^VD?5p91oFgu+u+{!+tbr@zG@sUzR$9T>bJZBU)WX-w*87eaRB5N9E+yf%u$7p zrFh8n1<%rRNpe6<66t&9#=mmc`+4sKA=8GoYrhUlQ<@bmF~ z5&C`>3qm7DX#Q*m`22id^>8H*HppDG6W;myA9MAdYlHcPeN3fsn%_PVu6oR;A_G6I z@5~wCs`7={!%O?luuo=LzqM5k)n#DWyHQkxh0U~@;1?c*0j6w>@IP<-l&wDYsqiPW zq5ZX&_;px+xp56(=fV)-Sv~$n`G0k{6&pWs@VE!^mFNMBa!4nx1-OfIme)wv8>9aP zZA_E5p&wbmQPu=S6X<% zn||cIGPqo_=cp2_{_?wy+RFvr1;-)7;J0KqWi$B4Bxmw6Smv#N-3--vG4G2G{EfMC z?yb@H%IDe8EIP&gbPcW;O;My*1A4vmh)?h*)FBnOse`$jxfhko40cfrPVGkfdER+j zLHe@0RDmA`{XPrh9F#vcEQFW~@%-eyOIZv4 z*h~a*^_ve^B4FZ_DXHqVq zp82Pn!WyhDq(nCHF|#-!6cNh2lET-P>o^|gs*hn z%|vYLeHMwFIf8Rt;UDAkCBJ0 zth@+*Ysu#n7-$hFU5cNNW4=K(1GO(O!bkmtxQ|KS?wLMx`=>jDACk^5^U-I9txt`D z-CZe`zn~l9l#e+qoEQ(VxFUFcT%?G6q(5Wt>UdGmNw@ zv>m?2>2IO$Gv^R_G2!!pCt87l>EqB>#pljLFZBi7fP+=|{7y9uXc z8hA?5AG{cPB_8Vw_&y2uW=^RgpIb+qFEB`)UY1S$m{WxLMQl^h_Zcgc+0!fz>ie#|eTbH+qdX#idvpR*|$3y(S-bBWjU4bG!?obPwo3&}ZjE}rUP{atk4 zLibsi-}*N6yS8No^7{OHs9a!hjrSJ#&}1Ll5qV@bOw9J7b+DPccQDhu#@jxc;|;YV zkNMxscmrOuJcrx666lOy`LB%=zT&8qaOHnAzGXzP-)T%Fd4Im|Fv`)3Rstte8~ZWN zt1Q7jj&sM=OGXj*LyoMJNkf=_aBqzCITg;$rrT&+{okBO;U=B5^p?;6?5Aw<0A6TK zQHVTmpV}g)$^9bWo1>0&vddWXB{8seY`Xfjwz?Bz(XT_V6kk*c`jTKDyoS6O&j&U8 zB`R0Zt{wG65$%cpMXN4n7DctiV0F!q{)L~v_z53)OD_8X`o+W#+BsM`*_EA$W0U9M zx5T&qx9dydw5RBOB5|Cwo@I#iy|4JmkRHgh;KR;lql%w7{RcnE>=Dp=FcAF}ltpiG zP2BBz#o+G&ZNRz9g2yI*)$xKo2x$~VX3LE1I5fT8>!y1e@W%g!4SAds{F!_Jr8&@3 z_9qO7{=)NF8$Vk5Gm}yZ4esat1>8&V740(-*D$4E-ao*BA?TG$k(Z3^U?OboUoHbr zTK3VWJtTip#f1JB=DIls2>&UuTwmISIQ(}_k&|I=9{RDlUb+Z=5!r9gD>XJFP8Kr3 zo>+z{!aaK`8`CNdBe-(hDk7&D$vGq+XXSVOYcG7|-sr2B_))v=s-NFZ(_We$NyP1S z2Tt5Jcx-6XI!$}YZ-yx!;&ujYV?Nr?2|9<5Hz{v#Sv0Xe_XK+_)=|yix0HF|X@c@8 z4!Dc&`75&o-CLHkqz{~{bBZOexJ>`b$HB=5p1}S@zQLdVHWT!a>L4~o2I^dCJ3{y2 zNoJ~V7_P+e_1AapM7JuQpGz`!q0eH{p=RNE`{SsxEJSgSlmKdx;j#hbLiop~a{v5X zFX=a*_ZYc-3_8&t}#40BwBT@HqhIF56sEZ{({!$u~%e+^4C7vhdDczq}R?XSakLC-JH~C z`WXCVtl@9|9!GsSCh8Kk1naUyh(SfG3p(r?nI{RUx zH_nf^=5}YDLW6PcdpDeM(BxmJl4yYly-8GkTm7DdbyZ8|+ho@_W+=5vfx$iC4k0h@uz`4uKGT5 zu1=uxSL&SiW#9L?tL~Na;)Emc$`yPN0TmP(S2;gl5GgtP`vqQvU&r~qRdb~uvf!^A z^`i~doNdb3OsaxhNj`Y6GEd&k);(OWar9ede6zs);+`u%;aGb=JZhsoiHj2H8^+`uY^VBi zzi3Ja?(Bqr6mgtj82AS4_k4LXh9u7K;6uO-o-W=VOK78Y+ZGb4 z13m-&a(o|M?yr5J-+53jgRm=r2g^NA5#6*O>uW3Z?foxP`Fg`0lq=IQM0twGM-pgI zMIF`^7_zVH7fJ(h|8I_d6zTigm#kcj&MEW=_Pmw2kHPIcCf_Djb8ss>wD+Q4s`lj6 z18PIUPdFWf zzs3`KE!)a!zeY}y4Zp`t;xDZB5d1O7)s5nED2MY=so-0}O*_73qWWQOyVKh(C@4k$ zi`=s+S?YO=_r-UsFuCDgr2Vz|hBxvyUf8qYHgvhw*g)0KpZjS4Zb1%M=P?#c=DlYruLb9?;!ntdvK2N zrEy2*_oHP(L;GK z{Jbm#!0DR+d0(Bs=cc(Uvls%cws+mU2+0#sd-a_}Eh;qv7|e!!GS@VYo0m=aQ(J|- z25+2m8{osRtla?fKL0+)B9F{mvl(-8$$DM+b{{UeXm9M1GBj%MC+X)}`HsPy z(T`Qq2wTZrlP`yf?_fW8O0(W>m^XPQ^cU=Hmj;{U+&Z}c^9$k$QTX2RIefAY`Z7=h zlzIcYW+@iRtKA7{xI4YTy8v|Rmgijy;#!_C@Czi)x&wWx++%}2kgFJwqu@ikzV1$Y z%YK1WmjhLoe1w}h_6IXM-2hIUt9_IQx&(;H@#eaNsb{ui6%MtU72WpwKkgpU!_e6sj zgIO7RKjUml+JSG$hF7;J=}Rs*EQ`v?g)z@a#2Ty0tW0X+3WE3|f8zDr;b9(x(-0Hb z8v`}fqZZEXrks|3Rx|?roW3__m`UKcZJhG^d4#YjR51=3rAA;0(Tp_(Jz z1V0SwkcOR2R{!bD6w0Ut0zLeeDbYz+pVfnpf%64_d#Iilkg9!D=(Aw%_6W=`bvelP zO^oi<(O=2-B%>$Jedc97Dm5Cm03c|&y}p;$XOjg3#L5q&t{eoY9YAoeJD+Ustk01{ z4Ps2=DCFHGzfj~tYq`(mWE%ax;mQ7=`z2{Ez~;8$!*=;*=;`D4@~tp^u1Yi1-vqy9 zGC#nHCh=$aEJvUCwvH1kW1q@n(|Pdv*blkkc7pZ|?sAtN$j)!Uw`9HPm4)g89np(* z_Ueb9|A4CPU)k_SC zsYct%d2-|j@cFqYr_f#VrE`7tzI3Q1MRSm@rw!q0_O*#lq~Cc_T&o>%9eQ--Xp#b< z4pFpn2q*lnN$=Z_r(y{0Jx$M5_Mv}&eR=7-MX|&wg2A4_+8@%xNqcI*yWqH(u`^Ec zlg03F6hc;s#QjU=yvqi;@ehXg{#)F4yj;!I-!~(Q_Wilvx6jxt^#M6uH6pRrzOoK{ zOVpy5-{-HKqFN4G&OXVB@};|Lz;3`ee;WIfufazq~=68xk+ZE(XXJ+7qV4dV9fBlGg$HD@FhQ zK0tZALC!P`amsZ68U$K*FWbUgl78!v-RU`O?51+*RGR^VX-UHUvmAfh;Qgpe41CMX zeXkZysc%oFUa0|2D(7A_g>kc^`O*{5oi5u#P^M(7H4{i}`GsZETC*&PF^l)0zd&u?VTbQ6*VC6DRA?~HDQskpp5v`IeL&>YgIy7UoUgy~yDC z$qf0(7f{J3gAc=lr?m}o+3b77zM%~-SiSv;YjsDOd4BSPY+4H0_jR{% z)R6u7m|wofMR-~YeAFELXd5bg$PuyNDYK6KQ?c=WbU-%#Sw{25k@Hzb_xCfY0^DlSs z5$^i?t+A?;CIr(kToby6I;r0X^9x!}?;M0bNa91^f;Y>C&o&`?&Y6?u!+M5L8Dlv+ zW1s8-BgIMRm9Qm09iOGTW#koudz3Hk%+&kzC4b2)mmc*{-K%ApA^oHWyJ;`meJky? z4ntms`zaF~)R#yhn(v(8N05VnN-8i+46F(ZRgUFL6PaUuVuL;lv`yQUR0qEj$J(0F(^_vH!U~jeDM?9 zGngB8sb>x1uk#e}zrJH&*xX^lEsLFwo@E9z=QtCv5EU+8s6lM+equF|_}Bk#Q+G0B zLwnbB`jY_*m|xJ=4u$xRA$iNqX(YVP-rLqL7zXwd$l^=%K3G`oCP^F1YD&Y22$txllUdpXKGK) zlOW+(cC-fHiSPLn$LStm6Z-rhtiIR)p9TNx;eTp@TU7!0u=1V^DKVs{^RO*RpU8@I z@f|ER8>(F0zkCVpe)Zqaf&Rid+bA35H3cQA-hZbpG2XLZMdVtTbYK3SfIr5)BiE}t$$fLhW%MJX_xgubaiZImzz-vJw8-m=4{(J+ zY`09uJhR6Ygf44y^%tOzdCrN@dh-Tn(ORxEymZB2AIFD`OiDNKqM3(&F^*lMPdrf! zn{N#96LjuIbJ<8$*GhbBckFN;@#oeX`!UV|RSY2>HwK_DN&Sz=zky?&)agqed6`ML zEx*E_%yaC*;1t@6xW=^RCW=E$H|Sf;FU*NJ@1c9+FzAE8Os6;p5a&NF|8o;RU_#9p z^|!(QWQ&9Tuivpxk|5_j<7-~Py4MgcP}E!KZXC3q13wJw&hr9@ZSOx~pF9Pag?Za+ z5X;NS*pF4o`0ncZ2HmL?d#R7_)0Bgm0)8*lr&8m#(HZ{y#{JWXkNut2;nWy@z1qly zSfj{&z<~tq_nwRQ0eo!#9g3zf3~=*$u#IKU@Aj-A8#&JME;GeSdf^ z?Zthv(aNqQJl%im#&<79XsBvFW=}Z0v ze7=q)3qB9$0pY7gM2+`h?5$5!W^AOm_ac}U_@3QDH=iSlAC%vfCGPQ5@=P%r$ zF&>%|=m)mEMc=q>CVQ9~VyHd`!@h|mw%dFR#)k z6Uj%xKX#e(-cFXpb*lG0Vug$Lg(ZUuAkpuWg%$ z$fR!Z_OoQev!V0 zuR^IDW1{fBkbbQ$B?iaUf6GN*5`W)g(urlOjo=t~3`bG=6kp8)&TXlE6W`c~FJ)mw zqWbsE+Y$d-zWZOa_QrRPBE;~4e!pg11Qst2{xQTC&*#|tXl`|8EOAO@<*;CaxQK(o zi3EdIIGO?xPuadDPI}Z+Fu%m`x)6P0yf<_E+n}m!6h~exuiwDZr~S;8&yGGm?gN=R zJWKLd!3XmUdCpg63K!? zps~zPz}(c9^A0urh+l8-it-J(f_nO+XI##$lP2OAfyK>a;lGT!m_moo?~QH z2;FyN78{2#PKIoXl=;3t@+-`{`v>@HOqN^DE(3;l)tsc9Qq>Rg#=Bi!R`^u3DjVqiNGj70rt?Qg*R(prKG`3BdM`9F_Q zzG-_O5-thuwZbnSk3ARX+5MeV&wDdkc=H1<#EHMCv~3cB5*yXBRR~ps-QKMN={$w` zh5K4wjx|^R&~2k(-F zi|SWCRp&H6e9sv4?-#3irVi+9LEm5AF7U>=UnwboDxgl`tNwinZKXcnOJ6{XE}6vg zd2c)iY@}WXVn638dGM4f|U8DzB+N{2F+^2DrNtu%EjJ%&Jb7 z+pq2ajJ#-P_A9^aD*58Ao8yR&(+{H~G{;d`WXQVuF8r#ji(7kBM-HAfLyj5iPEQMP zVVOhnqrdhP?aBP&Yep^v`H9ZeF;9&INp8|OI?U^!KfLLEVaI{lyTG+!UBx|=s=^Mt z2=j~N{C1ZZckw!WdES0GH%^H9!aXQ3xIQ5ly`QMn9F^GDhsN;NZa?nz%+;G5tUaLVPTC7vA&|K4 z7Ey8;qXuapT}@#QmPJlC{xi!PlctUMa-2_obL$xc4W#6ZpYgsC65D zOXMTgOaM<(INkxuN2%CXdr#}c=stQ+B%#glWXjbX-EUOAXZ#LZ$*XHM$OkF7`_14d z=kLwaVS0bP8lb$9b-0;w0r`9=v04 z&*rq}X~bLqn80;}%8s~hz76~YqCcq{qOUT#T` z#FuSDXV4e=$_u<{-f#TYR(YD>Dcwq3_4{DtUznd)nvBl}{KLA(V{}e8^AW#%>4aG6 zRqWO~Sbtu7C*{u|zc0GN@;Cy7rr(8%NyK$~b1-+qb&40TA${)6F~8i#_-Ei@&jnaA~*ziq#S$QDxeu@51;RJcw|GPX&| zREkpiB5mJPO7X34jNjOou@A=B8H2Hou`gp8j3pI=M8?>+?8|eU=h^){|J<+NeZQU` z>bkDa=RA+&cprmukQZgpQ;m}Q*ivv{kYnhM_oWmH_u|K=DSsdH3+F9ov^T5oK!rYl`wtZYF#l|@YUL|lscH4+Oo zhY||?g*i_j$EeS^6y{*&A|6Ph^J_3+|KLlKi$5Aq7dh|N!z$mg2ov})SKc-H3G+Va z%1_o^9;A9x%_QBcCD_T&d-4#o^pc*#eMq>Zjq(h}KL&KcT*1bih2UMVkE{Ps?Pr7^ zM&7G?@F#N*Q&lI)zc^-P3paV?ba#>%-MB=}NA8R!P)Wk6evJ3Al}tK^oJ9W%bIFh&8-_8xsh2I)yuACb|03h49{?X0 zx@A&F?uYvs`AR$=y%$=P^Rz3BK>cZ0WF1UT@fmP0|H`;H9nPH5UfM4ZVlTR7`4$${ zA=|apeJ6C$1{dRo+usc(1;yqXFvb0QqrxclFKqQCUVqs9nM!<(a^3>&1p_I&!-vWJ zRXxn=_bQ8iRt_>_e&K7-N968hzIFAX8K{SE-#dZW{#n*NMs(#7L-BiN&U}p`!;kq* ze$I5MG8SHcWs&=)?%xg#4^TcvL^z4u;q9rtb<>=Q*Wo+QXDhF^W;fc!ABN}Y(sMdL zDTRQUf>W)~$ZxuF_molTdOs^2E&j)6Wh~O0c#IK|QQj0ZR@@yVeG37uN%Y&!1ARvIvlGAD>QT_2&}(ty4EkNUH~zOg z!*|BQSib>QdJp;H`Q`{3%0-fCL!~zlU}@soiC5LUwU4`z5{TTXn=Fhc|J%7j# zjihtv1MdxvNc(`ct{dE9sU-&_(64+PAfT7YR_&c?I7)fL#{c;)ZW*9@y?eCDkyt)Y z#6DSkc@BQ$!nwC|A<8+N<4S&Pz%e_Bz7YFeGG#D`w|pDjmpEZR#tTWGIAUzVFOm7u z_d4ue2@e*2OW|!Vh3?JVhH+7vOAGW+fA*UZ!kZ5{ok)yhSl={-7{hMY6g+-D@9Z(Z z@Sfd3KQZc=Dt&FMKFQ5-v;ubGVBbugBYiI$+)MTNHw$&+LXm4>y017kSnv7HuMFYV zE%7Sh|JW->YoLW1EJ7hhKwFy2oEe;JuagRvRc$&zmq@ldV1xq352lpi-d8wNAbO-pAT^@Lai|g>WfC- z5BFsJodpiR6n@+>8c0yznPP_E0R51q&&kFB;w{(1AK`OmP+d0W7hV|Lbtbk0)CW(6 zZMHFq-K3wOM(Yd;>uQ}cadnFN_WrqLaGhEaIDRr;w2c;BzoV-~`2F=uB~xSe_g(f? z-`VSU+0R<7(7Tb69t{0Op7%!J1946t^NZy9F~10pd$%3oEh$=sTp-8gUpz*yGvB*n z^9+tpwSbS&kL{~ZBeWl|bO>>5szzg5!qXJAFTh)M##K&KgY%+A=x5@649Zx6qv^e89YFs3@^pL>n_toSG&1=3z{04~(XmObx(cyDAM_P;QBpPT=VoH_@4 zD@Wv{yB)>n&f%tl6S(_}r;0t})5X+`JTfq0tV24q0be;V*xAToP zFvy?!oIv<0Zadf|Sak*XEjO|cbZ(Sz-4A4X5cev@+ehfUdn?_ERoDes-Nho&j`B;2!s`30%AeG4$ZNN#PdC#{)U5l93V;$EA7 z+%Uhe+;<6j<%tfX?x8P^Yp8miN1wF>XA2F{XZ}kkshJ3lrlTkXy!*9!tL;JbdEc* zjQVV4A{}BNr2E*CJ%540dDec&uefl29sOXuCi&VXo7i?fAAfJ*Cr^Tp5Vfb@LC5Bt zXsm6N?%|8GXbEHYJz~j;7g968#fRT#%&?MqAN{^{*r;3|a~N~)|0yt}4{jCC7p!lF zLVw{}?N{i3fsK51H1^5-V_(tMRqus$9pqlrXaM}lkUvv1+;s2oFi!bZ<>H8IfVuC3 zIl-g;0H2=$7w}v1k7)_`{E~;FC}NxN^jaPS_s+(Le+_Ta&liY!oUC{8d!M*EWPsMkHiy_v95!bTRH4UbF zD|oOdHkfDP^MzLlX90OJYzbF?o}|4a4cpRld>1=hjv^lG3$3BVc>AsEat&P&3M3EiKq`I|#sWsjI}GhM!qmhcqHb>U|0LPNf1-(Y@WK;Ydml1KacJvc+y)5q*f zqDj}_xV|<_4yI}G0<>}kHg0-oM807h+iD@3*)bxgY49|?PDh1 zvK4K`K8)+dI_De0R|N-8dK4E&P%5w|UvwEtt0n>Pl2pR?&HIXyxQO;fbxfr)f_CN2=zQ?N~P-2HzH;qCQ^(erm;p!7@ZJP+wQMzS1AU+Oi7Ac1PhQ2rj4MU~Y@NT&vnW@2 zTNth41y}N5D#st*_r(Td(bD|A=u75G_O+Myu7>`kaAh$B&iE%2e9M203$@`rA5!3yHjZ@6KlJ5qLRR`yQhVR!2eg3pG&>X9a4teu%kJOa>^v%f=6u!W=fKh7 znn&#Ass7%z&cw2Y?_v16Mq^`ewyXMTkr!jmcW_t=F;3E2e9Pdq$l9=U0zI{&|E)2y z$36WPeHOTFcpXe4F~qM#FFG#__ruQ*T;*}h9ik6IuM{p8-j@cS;pdmU zd4!#EKmE)koTy*XH^Bba$9V?6t~2WOfiH_W%o`$K!jw5@{6F|@Xa2v&W*Ai3*{17Devd!odmpvMI7s3VX>ml>x+iN4J z8>q`se!&~HESgr^>j{FPn5B+>)5Bf`hS@qxM z{@T;I9{VvK$RoqGCyspdyAhtCzpoB4vw<2Z0eA(_t7-`DYBmb`bn zW(CkR&c%HnPEWvjX_@LNy+8{uI}@+TI^6^hmgmk=-DLlpQZ7UDmE%*?2jBd*!SCrk z@GfL;^?3|E0j@BonuU1Hv;-VJUk1G&_EoM}Zampx5ts`f=w4h`c7ku#;0Xr*D#`Nw zF7N0^%nM!R53WByhfC~a-aa?YtbHA4G4FGJIU>&xjxXluWidFpiz4U;2JBoOs=dr- zY?OD{*IW5eNlwIg$N%lkCdMsPSm3VnVFKp;58u7KhW;0+d&YiD`YE7ay`N)0DE`#_1%`0Dj=-OM+LXHd_Y6HRzw{IS#gk7V;$w*%@2a_=;|>IhaK@RL z;OPMCdgYUw`nBtVQ^lYQilg_e56{gv3SJy7cMCageogc11(OXAhO0Dpw{&8Z=B461 zv^V+n2tC)YB}!gDrE3axW+N>0m)acEsX^420b<}#00Xz_mq1%W3N-c4gK@(1?EDq< zeOWYIHl)Yl0Q3a(`fPd-Mp83;e=r>r0P-tCe9D+#B!|>(*FInQ-?-0C0%mv9Y4oG;J|Hhu^nvEDp}(Nz=*Spf&5a{pc;|KJ zkNJcAm4o$HiJqAmP94n7uXYUgQI3cOJ<7-he^sdqTd6WN^ly{MS zWLMmu<$Spjpx^Ct;l%c`c56IoCNJO}U1%=m$Ip(FDQ7z`s=A5)aGXzu@V45lPod+V zI5=_J$l^f8C2+{$_b-KcU-Il7Eb0rWmP}W;m*9!7_W6B^7jDE<%pGO(eAYc)oh^Uv zHq1FUdGFQDPxi`RPE9Jwhu9Ivd*>WBORr`1$H-H1&i&hb$s<2ofH~}E0RNpMg-bEa zKz|*0Kzp0ol5j{&-g+P3?L>@`+4&+{b+{Am>hqqRsNC#t#uDQ#mIUK|!~;C$Kj}Mq z4*dl-sp-g9a-Y^N=={>-2wxO){Jbw(bU)cWO7E-9&d>y(~M2m2tPddyAyuQAwg z`+}oL{8$4#bnkFugzyJ~_a~A&#}FE%5Z6(dYT-VH+PjgL4b_z$P3m7fZKK@(u5sEs zQZtj@@bkMSNAiO!XMn$lwR-QZVd}R^7)*B&)9-&CdLH_%>ldv_*jE(iTj z!dW^NrM}Zqp|qTN&sXvc#$f$-0lGi;UnZ3B?53qkKPkDVsgI#0baD2pbTVr%=R@?1 zu^-F=KR@gF@LT@DwTsR^+Dp?ofmjV42i`UJ&TPP5rX3gO>?ks%2cWl$?7_&xs{4^D zLkQ`{v^6io=_9uGJ2rT#zBkxKb(weB6mWR`>VXZq(K@8&o!ey49pU$vJy2KCXMqdi!X$8BI3G3<^FANM<&vp4 zgTdhE-}b$G`zprRq>6mw3G&$Cy`aDF#p2fp%4Z;C zpP{{_E8UwvtFAd4dmI!1^C!5igco#pv(f zE0ECQop^CS@{qX5vhPcJxuCzWeSR$NW0!%k>i_dd;qFh%MZXw-unJ?S82Ibo}gY-)~=VvpFh$N;wIfV8zz^AFJ_C7^B zXkUppc&+?F?Cqw!)tk5%G2ae6C0_r!|1aOz159S-UkS=DFU0)9f^DK%^SM2uh+8SD zH1r_8&b~elULOicw}RK#nS-6^dzHQ_2NQ99aIZfNJ*Tm^;%oDkT{grRh;NKIVwo|^ zDU&*haCgaIKkCN$7UFAH=$=n)5nW$+p^FIz9k3S&<_mTivMA} zFU+^IIS{42&zYfAN)DbpLwam;Of-v)P!oJL_whgQlhK#v*)NTb2SZS3<4d!FMfw5r z%L=}jJ{~OdgeUaMbDeSX#k`-$Tp-LZ%v%a+lR!Kk?zE4gBU9FW>(Bsu7|5}Q>lPVz zjoJ4N&fL_VEE#?=d`-cCPt$d|rUB#FDOHMjHMBm%3uTv;a ziVq77zOFTb-%@eYV<-{*(Dk2zlL{XBsNa*6qX$2!%vpQm>0k6?9EJWe0`Ztmm?yBU z2tA1TMS39bA%}}v$SEz*8?&^|rRqcM=usq+Y?xnU@4CiHpuZ0AcFi-GLbe2R5dVB? z?2S;KPvlVP-Rv>TM*C7qp)ZMj=w+RV^=*d`^K&O&_s4vdsOJUp$c%66|Gyi? zL++1ri=n>EDMgEc$Q*MUS^* z$eqD>sX^MGg}>)V{@=e>KUP`rafIXXqQL0OFX{qE<*g=wj{x~+?Mvi<8lj=!#}M_W z^mWx<9IJ!mbW^{9KN)eAF#&GGYxpYv#nBVSm%qTd#$1QJ=)=YOv2Sikzu3P)+J}fd zaw-Gd21Kb(!NWuIjORuOPjnCbLGELR&d;xzqJ4UJKbVuSwa8G8auXAMDG!z{-R8Y& zXdFcV2lPXoOy%{TzhrQKUx(Gmb1=Z?R2Yeju^#UW=f7INGGy*f@zVXoReKuDfuHIY zI#&x9zlv?epI`GZ&cEM=RV>;QN*tT)G9uStIsXjieZfZj;H%ug6{*T^nG2p0?`!(_ z%J=x&{_tBeps}{U=5Q8GP)>LN@|7&ickvsj;&a{ktd0mQV}OKIUc|Bdj}eFXetppZUIJ&5O-7kYcT631g2L*Ku`xIyqO z2ejrUg+e0*viQP`bnQz99|kRyZv$-b@5lSR?o<->U=G_h@L_N&JUIqmAR9(;ACdjm zIB+C5_Y1vJ{8}FeiSJ@Pf!7D@cGKl{I+w+Q55o)T?N(xYG!4iV&UsDf7|D!_$c>;z zSckq@KUDWO`8J~07IpyNk`3WKFu&mUacyQc$^9qHoj`YJmOda+bC>u{+@lkleNEc=|yk?(TB0_NAUW}ohsEVCQN*q=H(W$r~uRG^1pdT=2Z}t~f<$i?}7|b94Z~**d?x)z8p+D~?espLyz(o&2 zM8C}$2HwRVo=0L(lO~t$qZrgjz`+|wJkEdKN9IX>a`isdk@Rg3se3zi}Pvv0A zwI?kyYo8_ZVoalL9_vAZqklF+b^S|;gx1^&_U*xw=f0L!CSn<8OI4!T$V0UnWGd-R zuqBT7{k|qn?>}uaX_owAE*Z=@aeyub`R>NayU_PxA9246KED)HyfWlFk36!R6IIH| z{&1eVg}DBwVN>KQ%c2M?5AVw(*VP|Bg_7{!zsNVF2g7a@O+%cx+zwyW!7%UhuW8?@ zG}U23eW^beyGEJyUiFo~_M`8cpyzO0I5FnH$KOZw`DFAcv!L$_UL1`1(?XF)6i{`M z(X&}Cj|$hE)elw8s`~i_@Gh7ab}*c{X6*4|PnuNS0mxq$G6C$?WRcbI#z2Im=v&~k8j zwpF?Rj*jnD<#u3lSE2Fo$cEG;K`4=J#{Di$dW&8fi)-Vt#Kym+XBUuy=~QZ ze=&}3ai3DhO#MDAzifO!?fXg0`hK+fpT793KJi3Hd^lhX;AOht5ZT4*&n3=u3fxxX@vKSwo)_$K%6kYa52#f^uO?c`HQFaiG;gI|E62x$#fgj zb>jGLIwuYWe-V4ogInRp6T@|(A$oxw_5fUD)i;`c#h>43K8#1TOKn@LS6B+$mpj zR!5gwm51FdlD^;=u2+cmhuGU{e>3)D?bw(Z=|mkZyV04QEnKyu*eA2UZeRaIogWuQ zm-q_*G0faMj68(o?*js95AqEw4q4UL1O251^YtRoGq*hX&88K&r!)89)=23!@I+4~ zW3NKr!%xFO>Zw6;zQy1k$Ms)bpubp<+iLP6i@M20vA`&Uh zeJQg;Xb#k-O_f~Q66?P~ zm|xhIw{igZ$y~tE0eLaVr@gv@*T=ru&x4hhG-U#D9ZQ)W;dB%AR)-t;PzWDfo(aV6 z;@HYDdLOC-K7?>OZyUm|-0w_?j|Nn_1ig|A^HKsx{J6*ki0;$TQ~6pqoe7t%T_Ic1 z{{@Vgdz$uHyg8aqVUUmS^+@^u`3=+{JZhSlPH*=QnDi=V43)Ek^YX)uM{8Z zI_Q;%FW>t;o~l6LYV42R0PsBrdACXpCh5gi|0((?zN68lEKjG+dj%1qhZAG|({Et4?6hz=2i90D&M{KF^^ zbb)Tj5$@g#1Lm=jBt3u7U)r*t_DKva;UbAyLCR|xVWq#BbMqN}UBJ*szRS|RQgVUu z25Zk*&@1_Q*bZKma27rdqUAWJ9k+!D=e&PsS2`hrgah%Kdl9}bmDyL>+)eg(f1QaF zz4QUzm#?O9k!7CoYs#cQa{ocUJn-ko?*|dbeWNFsRZkumrF|xtU!*4v^9!%f?6)RT zGtMJ{_bcB&?89QYK=YPC+YZ7Af%yfGX9N2p?CY6x2fq0!*bt&B;y%XxoGULI+b)5%Rm`$z@*oHZLz`YsIEi2Xf*q@ez2Dwg8zM-L?2gQU3dFg8*)Mm*;%|V zy!IcqB$VJ1fmJfs0OoP*FDFdo01W$V==*Rbx;LAXN^iYk<{r$nhB{B-;tR2dA$_&id)pR$N8B$t zGLTres(TE1p?2Hej-P-$G=F%)!wBi?k1ZEkgoj$``bZj$pwi#y*OeSjd>Y^+^SU`P&d8~R>Q7+ZV2~yBt)s-D%^txaDUhR5ybrGf#(w?kFlXs3O(m|aSIdOt_32cBPl<`7kVM* z-kRBJ|MRRk;`)@m4Kpc43NLevFwlq^?gMX}!P@_#N0=9<{|zQfOBBA8du4Fl&VTc~ zC=haR!DD;j?5DzS*o%WT)!M4xd_VFA+<)>kl$U?r-ugZmcGh^V#V*ot(W0wZN`F$XrSRN>EA5D+ZAD&+i`w;+XH{sln z+}3qp<=p=ZJ`DR9W?=qhpCjfMw%O*_OQr#^3)#B+sgE`-N%Mx!?BsjmxYkUd;x0-8 zuMcekn5^;)?%#MZ(@H-xFw_b6F)nCnR>HS?hx|S-F&DE{idYP!fq@Hcf#g|;q<)6`6&4L3z>tpGmz@RIO}uYNb0k=bc>B$=)-0n=cA68honfg!1(Jiibfte z$~|kdtX28V{9HuxFyvyCql1ejuG@qwjBal=pOo)8&*P3NCt{B zaX*stVA~br2M*?=2Sqq_uEENOhTpOx0~hB->GuKii}1fOzc42~^fB@;5Gp(erjQ*! zAiYd zU9(iUesAmf(@XBPS@_Bj{5|rO)tTGYw4CbD{h)6$KcW%(EV!=(ei#`eIu4VZQkTA% zS5bpo4tWT^T^NUaiEDAznCpHhy{191H;`@5BnBZyPxcksrcQ_ky= zOw)lkIc)MHjy;^)1|Au6lV8{oV_o0fGz%{w96CEhH$*q{4B-TAhwjJRf!>kS2ywMK zD?)@A!xR-$U=uMpI`cYOcaIS!ZNI_mHKpnGkke0 zZQ=TOhhX8;{`xQa#L$~G20YUxjBUdF7%PHrf#x}1Ig;FK_hb;)V{Yo;N0KLY2vxpB zOIM0xU?1jvuFa+Oq(B7~ZQL2-Ex0%E5Ba%fDJ|;J6(-w5}H| zlmaY!vga2X^NVs=kr(B@+9gpWeI+wP^*qM?TX?E}n}}olMajOxmHT&Is@%W7>y;+G zO_e&spNw9P`+dyn>#lKpsDq1e2F9O59ue5hLyNl# zFEZt7y86@LACr8aSD}%_0oi%b_c_4vbPO?;V^|f7a$$0ls4?hK`;Yiak3>*TJk`VY zVQnmWz=6$ln37E>^NnzUUMZZ{(tg5|E`@zEuPd#K>(es(MP)%dYV?By=K8m}8B zs{eLkv~mfDUpFMTi+NvqT+#p1VI7ha$E~yqbtG>vzdU39`>-(aT`$Ky{Sb3eZjPh{ z06bTDieAu*IB@M_$&(k2xQ{V*^Y2ug^RTsBZPCAowbL8$`uUu$Jfgs0OkL+CjJ|AqWM%TEhVgplMfJHT%#0d@yMi*#6@Z?PZay;?i;SMmq(WE`D9z3NrGFRWAl zwxxU6iZ8&#zE=)OVdj?a13FNqH zuMFP42Ka#oyT$eWmXr1*Yd_rIf5m?+ccYEwaTY}pE^C{wuMMRd0wB6-#PGuAl8Lqy zd-oigh5J4KUZB57FV4_3?Jw!>OGt07ZaToMydIouX)K7Xnn3*H@f{paqd_t4=i#G0 z@`Dq!KdLtRO3??{(G5O90m~H`qAOo@rXZKy7Y@D2(j57Y0L?wG4%fZTQ1C9;aP-!h zq<3Q=)R6VKK3IGhu>Q+dW8nt{p;*VCjlA186$k;LMIC~Wg{;1eer*u zfp4@fE;f1Km|*(wNGai^pdT+7JkSP?$-4imjodn)S3yadW4~laT=#6niN)NMRy(cQ z3x6xmkY1oM&|esI@+g85@cDjqZm9Oi{br+jw~M!)``%8}jCD5fVK}c^3G)lmWN9gl zupi?Z(q+-aRLFU8H;lXBNWJYEqxpas==+F$_CAk42L{ix`2LLI0+mr=#C!CXGlYzw%ClOj?Y3snm^^4AzPApugaDKQ8Eg81Y(Z+k?T< zPgJedD+8i%leAPX<>(aJD>toi2{**Ht@7#DMX8?lDpdPsa`OzR(s7Z6=r`j&BIw_| zPWkUhs{DShtx8i4PZ09^+&eeYOmn#Aw70+X4#ggypnNlPI349$%VF4$@r83D&RzsTTvv4xmlINxfE-m%wp^p|cDpok_L17Grn7UeHteqqkg zc+4-rDVIO^AYOW2!oIgs0{hw)BUgf=>JJT*sXEtfc=+jg5B)`Q%8%@5BjV_9kr!jX zMq50$%>8NKCC}i!&t%Lm=eVb-R-|$ez~>gf)*Bn$FAetAd&-Z>=Py2xt+|f`ckyA= z_ke#4Tb;3G#%k|L;dMiLRz`u}#)iUu&?`AeS!@-(^a%FKqZpJmCyW?t^2>4fEgxL} z;z^e%=`sAW7UnDVxtLJ!gxv6U@RYi+FJUaWU5HiA%RuiS`_-b+&x*Lry9X0w|M%Uj@DkpL5204z z7l9PuXY)A+*r(N4pUu{bM`9 zyQqtac%Tb0em}3;Wc8JMcO#_i9Pf0_plx+_weI_KN{QZf%eV_H%a;{1bZ-ehjM%fj zvWO2oxm7ZC9f%?j=r8{=AEp-a((sjxMUIUN);j!=O^nr<=aWqLI1d@)M`2s*?D}O_ zlIHyemX_Y2p?A#EtJdkcRnOydxd!*V_S#kQ+zpJR`{yUFp1L_i{epvRbxut4Cg~S_ z>m+*I=J(l@gtx8l7VyWweV!DAd7rW0-;UM2YR(Pg4s7s8*2j==G+qbNF1Ssn)kF@6 zdpciPX#(@ycZN}8QIKSHq_Mbk34+Goq zg(aBxSP(x9K0n8hs>hS`I}VE@wtIdWpKGw3@k@O(v74+%?_gri(V7F$U()~nEeQ7= z@vAKKAW(ew`_)7r2x`M}pC=Mu^A7h-A?fAuHqqLpC?cv)%HJCT9vO3XKiN?0%S-Oo zOOK<;h(Q#&WYS2$d5x5WO6d@TpGu7@e-;W+e4_Epz?WsG8=FZh%9y-CGo2c3s)Z*{QPn~f*(fiKk!>htZEbH;g$R)E;4Qa zV;c3di_9VJqroTT{?~{hbea9f?j!VGf5wyQufxV=k_!nQwe@7-?3a)0Ci>xo;ThV; zcNF<<<`wlQH01kVA%o6gjng40nu4)TyYe;mM#xnihhEtbb+2<=2C4u53-C#CA^+_t zd^-Gl|E(nd0{u<;=KJ^w*RZTLNjc3&>`L~;X6b)z{U^9(>lk>PYjB;wg^B1P@g!wz9cAmeb`2(&!z6Fuza2gf{_&QNBK8~jmj;KB@5?P?X>}4d zZpb6EG4nZm2;zeSuP^HLo$&BdRzm$Wtm@b&!;aW3(~%?wyD)XT}!(o=cCU%C+RUK^KO&erqjWLN30 z4k=F8=L`2Sp0~>!Dm26&iTfDO1F!2vOV8Z!M&R`UHGzM>OPd>Su()Z8=N z8+670ErCzIV$oM#*rQ3#0(&9x-KHYHzZDml-F7lB`>rsPaOrU$lY3+7s|H*F8QxQn zgU9+e2m9m=%#p5z{4PH?1vc~owBh0I-pc(Di?D$3)b^} zjahhO|IN4Wun)LmtLB#Rm7XBukWBt(o0y$+W z<`*GK->@I!UiNe^-NSscr?#+%Z>WvE z3G*pmwo$JBnkbSQv*J)iX`5{gDkl*^sUU<-G zGfleTzxs%;Ki$IG;8o59?LSTrrzR{6A^#$_XXIam3xw|@$7jm+wGwPGK<(c#m}+0p z*@dQk9QisDzc08tzWyEg7uGQn{|YDmURRywDg9ub+qn>K70;VseqnBn1@p@e*mM5( zIi21&`l+=kHH8pLz=L(mU_W?DUOKVNHmqqhg~2D<@k{VPpS}&xhL2Ksc<_%2m-0ot z^t2to_qG}8RZpVt?&$-1cyrzM9;C9J^EY}e3 z;}0c0kj*10hA%KZLTDHJ;K~Cq2W(8K5O12pptmhfa_@?R{|4@-6Qd?Wf8m9BmqhhV zmmW)OH!FU8-N=5oz#}v+hAQwLXHOt`B0lnsZMN|J7vLWG18l$^i^GU(H5|@aNQ|3( z@xI`N>)aH6>8UN|d^IkXmNU2FV-RsncnSXA(HuZUU+LHE=WK7K1rm(BX^7u_zoYI+ zZ)WH|$=8pt#VLB!9{XhG=1y=Wk@q$`5T8nCEXkCJ$2@43oAS9z$I}Po3pV#dABzBs zat+}zG%yoiUrzUh-x7J$P~?dCeI2$mO81xFduY#Ul?dS?bijRV9_n!mLQ@F;BkUvI z4-YPKYD>g1&!mYaD!!JRnON4Aa5?;AbNPMRa@pYh)3hrV+6a8uUzNhC zbX|~c8)Hu;h2*ac!FsOtQr}*?a^g?R_Co(S`6^B(`Ymcy>Y&hqb+YW>-R3nU->NWCJ?5_Wvdo~ zdkkz%sKtjkKKk2=1m#tu?`PMDN%{Mev4;}F`CWsrKlQR*sNWaAuk4N-uOqKBTMSX& zqr(Uq$HgEgJm~;zEsZB*-Uqj$8S-M4dGYMtjTUm=y;p{wE1SRzMJzEl^S03(eT&U% zWf1cwHx7@M++-){Ptw=iK3VhN)wDNkLrv%}T#R=F-)W39p?_v8KM8sCR&10^@Y8dN zIpyrTuU1;}x!*r9lZ;jGao-VOV!pw6>Qk7%rDr4}Qum?((eHa(rq~~>2)p)AP z-@~zS+W(CCPJANm%*3&znL)u+4uV}v`0$d)mM%=f{%Jnn`+xKxw!^yBjv%-oemedU z`F-eUY2Y((@2*P_-j5ncjJgux*7j^sl!+#Cj?BZB7P2so{uh4!f53h0V<(=hat!87 zH2=dw_h6T~|0qm)A#@Q*d)zX0xI zq9ZH{rRf4h$~AuFd+>e}aZlE-iN5k2PTrYH%$q4_ohH8c9Qa`tF(?%C3*$+D{L)|i zb56LAaqHTX5#f}FU(4O@KH5j@m!SQidt!)fHcK|*_hZRDg;EjrN$a*;G31`|2Y8!oaEAUOy{+iuW6;3NZ_<=E_m!{AYehpa?{fiL zTYus8f57{KYyUn652sXzKNdl@tqtK1bYwDkkx|fk_R2R^ zU9_jd20cp5lid{{Io+h~;i9*DCwS_fq0m`$|Fpx|;v4fsUd)pVI{r;3wj*UlrqH4` zobbJEu+8;{-_tcG1wa38*bvs%w0#o^0D-5YI-rUn8CzHUgIw>$b@_?(>( zD7>v^|A8-v++xZ&oY$+|A$qO+g$5+1pRzE{T9V1ALGV}=89 zE%xoNlhyy(%1!%Qa4(YcpmrSbmbssQuCamh&(L2O^U&!F`1v7V)n13bBrbrBk5W!n zKM(2!JZ1*`W31PW1Fw%=EhBoSP$gV@j$+=IeSJk-Z-G;6_O*!uq)5wF`!{3bsETP~ zCwu2iD$hRKewPjI`&o|jg=^eAABK@FFLJJdZ}|@gF^Ub*C(^w1o>6QseJw?0k;es& z&&#f@?jKfRzG5(EeyI9p>!VMOIX`$`zB=AzQuVp$c|qUU+%u{293Dtdqwr&ct;dm#X0R&%JD?(2vYH$CvH`f6%umo~A<> zD8`(=it|Csvqk1?`DL>DsNMWDCzAmE1w8#9KHBN~ywoiHaKD_xxhO(Hp5(*}W+Bhd z0iec_D_wk?m>T%-ubHzs*A)Y>pYZQ!c+PXM_F7b)Dt`~?%yqyZ?G(OwibMc zuxH=w6--j6e9SC<%`W(Ui+()GLpcZKBBTec|AR#J5eBEIZxi{j+esg@uD2orEhGNi zIFoX;Tx^x^vK{jhfB0Q9>G3YU*yb2)?~BN>=-;nGIB|W~f$ILm@_M_0uZ*D#B*6S4 zy>Cs*(NDm;&23>JxRrCd*Jw)|n~OadrN5{8;PvqwyD;Ct+h5>)%fzj*i}ryJBRrx9 z;3vb!*aCjbKbThz-i6!`p}#QZyhEHnp$&Lstv3^dE4UFoN6cd_JJE;mmHRkzSpv;T z#mUGKsZs`UOml^AwD4P2^uav^z*tkWWYrH# z4-$Rjn+gfE9sO4gcA+nc$3vW7e^tN*pkK1~+`&J_*yZmwC6RDinwD0cQ=aOTTcN+S zVZ*~3`0r3~SZhCWXSlwt8x|=X->S>e|G@sb5L=36A?tf@?JGIyB>lsV1>o!R{JO`T zDx(KHa8RP|H9f}?$EqI0-Y}*Bk5Fwc_?EEycD@lP`|$;};M?I3!%gIg*k=v>g*m)k z;2#qX=7cE8w;k$vKc4)-4&x#l$RT3 zqLIANfnJHV>Y^#h_`Y*q0Q1ZFo7p`}F9q)c59p5inPh^0dr#-f#@}B*sq+PN+#xOT z=D!cq{=4ggiDTn&k*^H6!-hqC>!tJ76?>i6{+vY8>rvE(xZm-QpQChNiTsOj=<@Rn z@qex}X?_Loh4_bmNhPR5=6lskc;m>6A#Gdl7V;m3Sob!8PRg~n<9AOWiRXpl9>ts* z_+gl@cfBuoL#hA9g3a$YA-r(>m2(c8`E=0r$tQuZJktrqu}bectud z=QG1a`n$cFPA0aioV9e*o<#8ZV_lX!*l{w2zKD1n+_QV3@h56J=Jw3cyEt)4{=RwhyF5te0{MW6;2LxI(Z*{Nm3uBduf@I z)AyMPUv<-@0xPv**=KjI&829GfTlww1I`b0fEA$xrF@|`!*}PBcH~3 znz%60l?H9HXx~Ixsfv54__POK#ZXr@0LtlXKDMi zwf69Agb(Hw3cGCM2)6+ojJXE$OS?Ww&>XH~u-DQ5(2 z1&)69Z;7hsA&<;?jyCY~GiEyKv7uZP^ug#~6nZ5aU)#lrzR;sgCMAkN>ayfThpn@y zpZZc5ah%Swb}%`zf9ShngJY`+-r&PDBVzGl|O2LZj%uHgxOC^{zQTLU3G0XF(&QkxUTdg=k~x&+H^i=$k_fVk}r(jUT9RC znp<39Rl2@^pT-c<)17RqTF4RO<*ai_^e6IZ19o9=!Sl|Ec$w$wL_x1aF;>0rus7m? zxN@@ebI-O1XB*u2(Y=zCvvJH$`tJ9@55)4>-W|Bd@gVXt*Wh@bJA9kMuXz_ik^EWR z4gMJS>uj=7F3T6*x(BM~Bz^LcL%<(|f6fMc7>+3{sGUgtf~Iu2g1ne#;OBqa4*$p4 z&PFxx4wD$v?;j}Vdk)^07r0(;@+tA-MTN=FYw8jU;oaf1 ziq&*gIcIfd${l@lv zAZ_{QKsuy^-fgS{i{$Khjb-K2N=>gG6V%?D9w^jf&Har~-Lna{`P33@J6 z4_3d?aNkewFWZ8D z!RLFCjc`tFz&opnfoG?ECiN0Q@Ul@8Ki=irEXt3(5vCl>y(M|%v&9DEj22{hsUEu5 zUhxz5DvqLujHw+0Te>|*#WSukA_uKg`bJ@wz0?@XE9i3FF#u_*Xq zYH-j8`>>UqhpbKNzrlW4{d>0bnp(DvoD!!!JM}Wjo{NAgUN)qEBD)_N~A8=4V2$lwL<`I4zx@729UC z57p#F(9{G%*rn{#=VRr&cfT(9KLQN6W5~VR&V{~*ujgnZtKLJ-2N1RxwgdhSr?Xh2 z>^$bF_euBwnB)H{CtLVZJ@0oV*Lrxet7niKV_{P8^90_jbjRBUbNAdHqhIXGp&{iv zVtzrsX?q8YazO3i3q)PczMJUffK7Mq{doH7-J=HtosspnS~$Nr2jdOjjPS^M_-PIq zdL?7`*3>Ai{`pO2@t0P?`~Z9t2CY1U`|qZ1!2O2{Zn{U(G~hY&`-PBjqCeXRmvGEP z?~?vUCt|Gf&Mn!}16DlKUH8&G5+#m3;VJyd(qDVSkUSXlO5ugWZ@GdE4EErDK%Gh2 z0zW19ur3TEUI$e;Y|-8k^r=W54L{ctJlIZ%CHqW(Fy93UPwUWitLWIHT}M$b#1o^M zSk=GbUSJ4!{j{TSg0^1H(4W7LpUyE2LsgHT=StF}3SOVw*OQXzIrp?Ka#PM9=KYLR zB=mgaN_si+4ZJ;N(i)ppXB-wx37ng`WY+J;>L|@WP4!SeM8yc@C&OW&w@Ehc`@Ibwbv2*WXTV#n?T9eCg1fO9!?k8 zuIuSTjCClD`9%78t7f+{&E6TZNOJ{k1xd8vm#!*40Qn$HT2g1*UPvzw!5 zoPE-f(PRf)>uq0)`ZjUTmVBPwAnMKB`0@#K76mvHkQb|kIOe@0*_!hQPpd0~1ta}r z-_;Aei%McNDowl=8J=U7duGkonD-^echwk-W8laA;1Y3f1m=Co|7GEQVNh8cTlFnu zd+WSD!-)dGTi-e_Tlb>b?vnF}?3Sqhl8w=_=bb(R{$$Rlw}_#lJ%c?169ToTpwLQJ zfonHm3iFHfU@eYQ|NZM&VjS6yQn?0mzbfBM&^}W5`MHkIWszAqFaA+-U#{|nhu-H- zk08c0v|pD<>rk7trAZ2%n}I-nBNH)BFFDU3R;Lr4O~moX`6q3t6!NnzkspwJ-#ZJ9 z;m=s)Wy7EI@5?Oe8#)n2Y>R$8dob1Ix$#i3A^nm*nD<$4OSV@XY1$;=2>-CR4UJ_% zb4C=w?P%>E7D~Kz8@=I*0eah`|`fnrzzLEg|Be`dblHB z$h`hi{uG17bI;imG$%IzetzB`y7|bTSEDER2HYFJZmjkbU(PDYeHIzQ0bS-yTn9J- z9FtwyFshCYAdYKPoE)w_IM83VVaGgNWM`63s{ z+XhkqrDMTQmVMmwF~k^{tz|5dm(7Dt&wkMj%Y2oi^=rIvWq0`Ex#N8d^7OdQ)t~$! ziLUS<`*0BL#bY|D5%$T<N@Ol4c5OH1Sj>RFA!r#RV zSLMSR4kT+R?BC^mv2oMfHuh9~Iv}b2A@=|Chj>ixaW{cJa{j+YFgfr-9QhaFNeqpW z+~~{ZCGQJ(7vfjllt?ew56}pC4ZaW7HNg#p1^Pb*mF0j)9q?f|7glUTQ`u*RJ~L;? z|II#GXe{%FR$n%X`vy(fv))3pqkA3i@;CY`At!wT?_wr;E>4BLGQ|Hm&5NWj%xX_8 znSGb+6cBRVv-mqC3&1T8uGP-zEQWy=P+HXAEHg=6&wjHqRa_y<{iAf#K_!bDtuE zYXqEPorz=2`@v-pF2a}q0xi4K*=+P#2(JVEFZ_A>*;(@2|IE*(xxAmA*j4*j{z{j= zU^DVWV+5Fg+hCcf<Gyr?sUZcgZU@k(b5Zy1+u}E z%O(|L=p=A~^?d`0|MMOA5oF(i{a6rwTwa61q{qb#?@NCU$etTX15qrx1ALfjESSB; z`NX*5r9l*nT%ZMWmgqy^H83aL7vHOeT+6Ykz~JwrT{iN_Jg6_u(0(4wagv`s5<+b_ z&%MT#F5u@jbcuuH%e#OFD|3^9{0sX755*Dp?{%sN{Sg1H-NBb;H8~0SO4-MD3KsrC zDdhK21KM?eT9oc>`*;vjCpO<1A-RLf#}kD+@eJQX?%@e-XVM-)8=~ty5Ku5o!X+$Q z%a&en-%|v*G`xqamMQ=KaZPfJ)v%$AK7`%^a2ysxuRMXi?DT&IlQaAEdc896wFo+N z%!~T6KJ*HGugKpld^}0-1@QB8kM`;yP6zs5ICt+?)~fl(|G{s`J+3RliFK6uM?9%1Q&SUF!zXR0o);v%FBZ_y`|#3z30^9Z_y*lDvHiNtZhG6PZw>X_^M-X^^d*CX0q z5s9f#6aC5nu}ZeO|5_HOy&6q2=?4K)UN)Fx+Xz0?b*X>0@U(?KX!pyZ+2#E;-{13< zA^YreUi38=b#yLA-(fxbQw@urLlxRmc?M!1j}pINWrtxUIk`N8Rk!CyOp+hEw-KB% z^hkXHy|RyU+svWU(zN$1*jM)pqs%&Y`}u3{(vAtl_JQa$^yqQl9o`pit9l=oKvMVc zc&y%6;g`*0e$bF2Bag=>aFQU4>|fr>DmkB#X9C0@T<%i1`a-UG5@SLqR&=4rKYKT* ze+M}y|F}wHJ9VQ8um7Bo1HDo>1>a+SVM9tnp~1N2yU4#VCa2e+XgUu3S>x{L^WYwB zr)0U8|9it%`PG>Br;ZwD|7;PsVd!0OUz4rhfsV5Sd+$B?FrqVm1`n1wV*k5otYw3Dd<-4K=lcHHKw>%fXyt6_yEyiGuVhR5f-m87S+W@aFDRC-!j_eLAxQRR37g<^;~WrprY`vP?#B5pd3)ai z?WddSsOM~EhUTQOS7%+T+V&6%;Js?RD=}s|EX9F9%YJgKaWZvcUFmsi_0_D8D|tTS zh$&6o$K@I)4#FUxm!MqhCc&Ej!hMW6SCerco6I2UdLA^_fI$xTF&;1Pfj2I_7+<6i z*PCub{|iDJ{#NZExDfep{ z`uLcGmsV^rZlf0Zk~T2tDcoLin4PmGk@!ycx1m-nugwR4lP_-Jp~N_Wr7?L1+iPsG zZxCBVsITbdCd@CgFM6J;Ik<*+UtnwQ+#3EV9BY3+0iPcq#si5Hg#X~%GhBPYn}RnE z`gYlm`aL*dS1sveRW2=5BF(rT)7cqTtxbkaf zcq&)>J9k{x(wi%pIO3(GBih%pF7{vG(d+DM{~_ zS$2A!b}&;q27^s&(3{E!@Tq)bJ?CA%u_`zBG`c3*!|C(&P)cARK$s1!=f0it-a7Z4 ztgd;iX2^>P7{#4H>227xN}}fMYvDd7L9Ocsf38yQj@A8Bt3c_gu71)g{PgwUgnz=1 zcXG!tnpywg?hV7xkIeJ%qLJzwJenoFcePI;pUF9_6ud9UyLQIB#{cdwun%Q^Va1bK z^pyx-xQ}uEEz(i?=w6M@(EG@XL4*>@=<`!UG>0ufcpPq z!inS7eP=^|;lKC)oau72fsc11&n0z!^Sf%l9^RKM1XoY>0?!S6!L?uBHW;T6{44eV z1Cg8te~fceHsviefkDDYl5{VG_l0w6i`K@=&%Il3TzB5OhC)_{gy%>30?gI;jkI}o*+VD#eI+u?aN^?1gv%EyF zY=gWQ7cyer_rSq2#|!5R=k=iPv)uPnCGaho|JxNDTb{Rn`Nxob$=k8YVeko*9*$<0 zt(t?V58oYPJx@Kuq%ZA7n1vofM@{`{r06~;j$tn3?_e%?*dmUEr*Jk;zmIPdi0jaL^$3<6dm7GZ;ZI|Jk-UlFq5JW| z5wb@*vK###DAJt;K8*OTo12sy_}(D6b=%#AUYU(r@1sp^DGS)*TEXDK@*WTK%jx6; zD{8mNF`%}tc<{SLb0!60!aXuw0pAj;$Mh@3#umP~T=5b<*BgdrEo*w+kEL+;eCJ@IacO{Qi?(4-Y?Q29{YyclH{@}sF=5ZMM zzHooT0+jPSDV#XPHha6L?v<81ORseE-QW*l%`xd(SCZW9yL7VQfABE$>F~aP1NxB} z3zD0zJ`C4r&4tvp5ZA^Wx`lZkxvJA^eCal1y-EAxW$zk|=X@gK17}jR1t(vjY_iUq zwtmXzHL6P)YCC1@{-z!`p8n5Shok5XWey_m%?C((`1#qd@L!0|@uyvt2es0H zcr8ojWSVv7`4<;gxasqLCr)@y=aJuE`aJ{e^Nb^mLxA5h8FtC7(KuhYZ|Jg_YOsG9 z`4YzNeT?={UyV(K`2GIPNu;(|7j5}EMf-1&-%)}Sfa7_s3~f!F`k&%yC`4*RP4qQgFX7Lnc;cQ zhv)g74>=mxdtcYgTI;{G-+B!8Q_Ml@XGwz_p-K5W-2V{p3vN3@dvG7;8#{ohJbBzC z{EvID!U))uwDC56$~_+R(hxjxG5E>6aH?;ke)onZ^%25vxsnT_k3PyuAW#Y-|&w?@A5yK!eME5Q%)>NEt!VSdDZ>Cj&? z32`v@bm*0g`zwz2l>XKYa}tTyJwG3hl|TP%ee5w&Puu#(I|ldjZTQhq^ZCud_pt#v zc*|&3X;XeUh@NH0rxy!c$$=LX@XZLf;%T1f^h1ZZEB79}KAsD{UYw>r`K`ANq%;40 z-6WeBgXjWSL&sVxVb^QhdDe^Xw`#j#8fDx(p_poI0#dhU=b`^vZK4$?dSAQV82&(|#BrnxXj;2da)a`A$ z<{Da}2ZDVI-ICN-S?())it6#1+Pmg~e5ED8YwbK`Pv{QbINa55Thxpr#{66!UeQlF z;I46u_t~Y6#DCvSeRH+n@6KpqzTV1*;e{wz9Ex=$sXrM`dPW7PMb1&>AFKSbkyYftF z0_}p(8ubPG97CLM9RPof`vGb;L0=Z{VJrC%T6MNluM`SmgIuf?)pEG~egyV|oRbYZ zmaF%^Z;A}rrv`&V0UCm1QH1(orUcRdU{lG=wNO80bq~#RKd2}BocjaO|Ad~Uz^vW` zmHq1UCdqow^^6gYsQsxM2HLwz$Nv{gpK#$bc;j4OzpWU5Zo-MgXz(n!4`?UmmpWVX zANL!F94!l~-$qK$z}Q1(uw#;k1SkM_$|X>e7^%eKle&mw+0`E2ffzO z${{H>h~u{-G0#{**8lv21@ZaycQ5#FVDMT~a|Yd#BJ+IX3I>5x%rD{_JP}5qfBH4p ziT)SqpD#B+rE`1#ts7|mf>`AIrH>E&$WY5SPi}%fan^O)TWRk(-WTZy#oW#K ztKgdjhHxwc&?n9Ts&f&l$EODoTo{h4{=f&Z9-e@f9)yMC#%|re0p)TNE@cdjoPR@nB(dZNBK+0WwUs#UD{DKy_XU@Hm8wAJr z>k#xbBK76AI8u3f`^_|c2a@3D;cw>sPi6o$<=|x~`qTMV{LDgj ztex-{hnuqX{sKO~^ieGiCe*au@37fP`T#e7Wve|1UdUH+PPv~mE#koOkMYVs_$*$1 z>xtm0fL}BWeMzE^jt-=*yqEz`X(^_{nK@Ae8ED}@-CcAZyfI$p;?3KW=@(vzwo6ma z0nU?2yih~GSVIuxVaU;a#yvDw zkVAb7AmT~zV42@|pxj`)VCUl%dE}ec#P-Xf5+9iBlMvi%AdY!*t@htt~zoGyFpayW>8Fnwf`9 z;UD4`sU$^vPQLcieDd}LdEcXl<(Z|$(J%%zBVQtVe<046wIMUVc{iRw z(f<1p_?E1%`Qkn%{%6cDH6Sm{tx3uWL%vctb2M1&%%iN#^!wV)$fnzOYI+g;zlW)BWPknHu!+mYGTs8d9yCs4+7peZn;ZW zf_EYO>x4q1HXjswz~5j&;3wQy7~^S^A-U>1voeT#R5y(D5}w*c|0KHSiht78k68A2 zz9f?v1AAv$IDG*eN#`I>YEf#pH9s5kKKmYjh$XJecv=#tPxgaxK6)DVW6(jb;`!xy zaRvMx>)3eP(1%#|{A^qbG0y1Gek=7?ZcNgAIp*$zEnb%lg`r9I9t$y_u>fW_LG_Y) z!NQNVLjFZ~D5)M~!$zPWd*WEonG47xpNw5N8SPgHyi31P(4(0y~!FUFwQ*OB6V+JulAQk;|* zdD52nuQy;ts_F~3oi+DXHGwv94t_~IvCLNWSM@I!O z4|210KYK1s=35$k+u(~s%=m2WU)&ZWz9Vxu&STcO`lTvI3I1fR73>L~Qf&sBE=S)h z3V6@_kVl>F!9b7wsOVL0KKdOugLlCf>0{7e8aW+J{~f&y(9<@YE1dB8bnA8y3Vh?bF72XkMeWz4jl^haZm5?bE&WUgVifd<;DNA%?J} z#1U0ue1+P`ui=N8lZj2vbbs-61b_>}KG6f%pIqZSM!zs(jI3?6iI$>HW7qmf>Cw#k z)vW!;H^49B{wMUka=xG{{6B}dVB`+^A+X-@#NP5d<_f4Quw9!G|h*)<4l>z=mDS`!$5~ zRBoVt?3br&-L!9azcq0!!u-M<_08CHq3izwEU`O^_^&Y$`(){d-%wx(wk189PL`r* zb>d?zhFc7uVXySN!@R)F7 zTFDPduF9@69=H5_?$Pl!|^g zE8#mH9hoHh`^|H?Bz*uoiVV@GvCoixg~RwhGUsDl5ZzyofKIjram`ar0Ahk0M_&F_3k zK1*Sl#P+*DJm&@c-1hb)9y@)(Q{vd%_n2RpZ@LioY5AV|-7(~xf8#))3$C}hY9>#t zW86N&eT?U^@!=$OSBs(VvrlfaBeB12-x>6?z>e{(uDhJC2byNIpx}cVQkOy|&_df%0MI^iS4&$>|tsz{TimZ%B`< zeI4|Ru`sy7U;TYnIF}$h7kTE=HU{8-hP@AbXo*24YW3oH(;DAI>K=ZNnS|5$9K3Qq zN8wNYuK&HBzh=U($vD*iqNQK)2>L7A$)cgu2uFN1YndG}-Y9Kbw)zBcFU9BXqR)|F zJ*WS6B7+xok8M>i&#vGbZgHl6n2+>#JPDU6J6^a|>065o@m1DJqMbYjeu47^Sn=yR)b%vl72Vfx15e+GYC9H z;r>m>xdvR={+2T+0{ENF4KAtva?C{k@V)D4nCQ%2|Daz?3V~iqe!Z?uU(L@{wUL}h z*JdWFzY2kxmR-n=1II;C)QlI%LqnCTc;t$4n)$p-qm_S+yzYZq!M`F3h8oof8J7Pzx{{_8ETq~4tvZ9Y~qoedtxB7rNmk&bhlX*Of9S7bI zpM%@eDte2c@8fmo(+WLu%WqcA`T{*FVSYZFFu!1HJHf3%D$NLka|HSl`>?D|qt62O z^X-_^%VO|CBabY-d*CVYTyxLHNB1v2=pknw+L!1T;}735a7`gpJ;(fV%Z-CFR}I7x z-u;^g-gxt-|HfKPpnsSH1b#B-qUPFJQU-%0l0ArPeF}Z;_1wP>-Z;jc+O_&nI@cmb zR`i>?#8TOGHdq%MYooDg9Ti7r_`?=F_owRkFsH&tBmIP!mn3gE0rxQ$w6aXX?+7c5 zq=w)Fth#KLTuh$Z6y-vKpWGS+Ds6V>>YljsM4bbme?5Tg;5g!@A-!yy?TCNOm(OHV z3t%Km$wxUYZ-WVL#mn12IMD>Rl2P*tz#rp02Id#ZDL!%*pGi>l1gc*Piahqp(wF^b zp)s$zb^mVdlC=MLYam3f4hM(5N}}c5KYuKWux|N$L4u3+*7% z%)tzZ)_i&+61})_ShVtP&@U!_{+;nu8MpPyy^t5<@15zg!M@8@$cv3w^P=Ga>u|yp z5#PU&pX8Ry$G9yP(w0-k0z z^nKwZ?eUTv#a7HM;>(V$;KK|;uO;5oX`_;qd(y^FIZ82^bgLJdDJF)~rxO51@9Rmh z``zm|Dv^p40UjugC8*ue!R?h(eB$^WqX8F+COMKtaiwZQk-I$2yrLgQlN~Qg_lDDT z4j7cVs_*r0N8yE6=`d6JB=1~ur)Q1EW!?o3Th5CcX{rOH-8Sz0je|5STXSXyVrW;T z0b^c;Az#@Pn;rPhU-JGT-;0=TnD8Wl98h=VgMAVE553{H?1A-eZ2wd`%v@UN+WbB1 z2EQfuWxB4nBF1VQI-W#)Y&372r@Z;FBEthg^E}K!qUSkH(EBs;m7ij~7~RE^5*Vnx z(1X(Cz_r&N59^tl7wXoBI3BfNdb0X&;2(N8?KCD7+{bpdq7j~PRF#WCUilN>&nC6b zqt&PjT7^BuiUn{y;C*3xO5Ggrlwfn3hW<*fnXd6av!0)yVBY8R;d}H~;sMW3$yMF@ zZ8U|VF#ZVk$q88u&cuFf!qzaqBs=v3PR^!wY(y^iCc&%1KPJ!jQYY0*+-wP|kon6I zsU*FjeVvIZ0IB=q>4!G6_t*A`Cw?rN^(!z^0ld0+Gf{h|q5@@~@e}43#t3eihCWrq zYUX|FLi~>(f&L=Bm@ATr*IKU|r;+e>+eB;re5axBtrh%aJhs=fq$j{#&VXO-G1kal zmNV!SbNfHLZ1DUvV2Md{(g(w6KL^~3@WOOnQZuSWEu1{7?=-UL80b zd1UU>YO@FD3mXv5g;eB{3JmG>9Ev}m=L7I9dCzn3TDr`qt;*A>XXySRHSE1)KQyUf z65U1b?6lLq#6A;p%T%tuOE}%bcRRPCCz%)!eO~UZ^vp=itjui$TxybI=+SF8u6=)cEp zZ55)u$fq~^$mSV3bM(Z0!7y~T+jHOBZ zVTE8_*K*Y=@GP3}z26~B^&VFf<-q@Rb!a3l#5#N1S7!AiY>cDH{NV}< z5RUqL%xltrSQIUL`HO#5{QQ3^F?d{RJlszApzvEt?gjHczlPPbz#Hd9`c)_O`6K_r z>);JOsWcPmoL-}y>2o~xyYRkDZh*vhFgRrO`C@s+ki6}^MB@6nos$BIYuo?B`|=cW z*SFAL`tTs%%!PJZ0~Cw*Med8Ml8M`uCp1i>^Q<$rK>qh7f(iQ!;ft=fi6$HN+c&bL zcj>;1Z0jS}$>%%Xm#?H}=(2GTK#L2|_r(u}d7o{5k;{DPs2C>Uw`36h|J+E7UvsU6 zn>gn}j-Eq!U!?!!*C_3a_&bD#R?0_(M4`cy#>G^ThsJ)4Z`r-e(n;*n;3+Y_Y1JoQ z+8+a7!$>wtT=b=~sJ)g=T{E>O#4TKV(cw?#o{la(6KN$E%l41eJi#Wj=9cG`8It$j z>_D^Y{IPBX_5k89Xf&GGHokgbIPGLWA9&+`@PgUbQS_C~=koMEjrm3H$8EE7<9dl zK6zAxI)atp`Uw}{kT+pFzRtf2^8374@vx%Sa3k+QUQYaacwbJ+V!qJe_v{K`ZvgC~ z{Wj>8?33smM8C3Od|5@lvW16oG36eGapA_K0c-x|QbCVe9ty$J2cp3|#jsE#o) zLwf>ydud*?Cwe^FY_ z_V<%d?-)0*F1dc&fzE6N5UBwCE9Q#fd?J()*Fq4#LU_PUQJqW^^po2sSi|L$FHLMw}@v@7^ye2#CjBCer7mXIVop(FRu zi&n(Jm?DG6wxyH7&tqRyaRi-U4$+z*Y9JRu3;HJ$H<<_zvgV8Fr}lIOg`SJxALF{7 zDwX@_ekU|p`FmYrr4Kp|yuSC$&3=LYSJXk2UPeDM^0K`g^F*&Mi_KM?d?0-4IOcsZ z@89LV>*bLYj6hn;pUvdR`MpZ;kKsIOx;}uUA7eiBNxmo7ok(Q>P(J=>*7I*_sUg15 zZ|pR`wGTWc@NtH;M{bV$5{iPA8&s)71-HbOxSwj%!c?+jpwuyE?dhqMApPvmzsG$H z^+$`F7aH?X1GByc@?jgpU(a3}NZdX$?QxR!1MiKZar|?g>_YF4;)_`=LiyL1k_jn- zj@A0(J_gK3)nU;z^BD>Op;r!liVHdZyY%diwA6bG`YirjHttNn)-$NN^x0fCIL}`T zdL?R#?N6112g^N~|M}7mUOa`qRBlDXzO<<=Hh$e~#J}y|1%2Y2cj(qd^Rthmh->Q` znL-I_NBO?1g@!Y8oMPa|;lT~OA>l1H&!8hPbiP`XK~W608SbV0Rm?B4AHn>>`H-Vi zGl}I*C+L+eV^QQV!INMXZ0!UdEK(%5V^+ly*DlmR&SfL>5L?_agiH8|Bb|b(8Vr58 z8v}|{Mia)3JsAtb^?QECl^nUSc&DT4xXouO5B+y{8h|*r!~AT?>2JtStH_JoGFr2s z(=A)>`R#YaP+R_sje@=l?C;QSsp>=D>qXlbkY1EPm0@QI$G!+5X|KM>J2GbIV#ib( z5C2kR9Uskuho@+6^iM0|`1sVd=p*EF2l@+t)~+TM8Z0YR%SA8w0W?EZoB;+dRIw4t7wqP7>NBYk zK;J@!9o`GvC;a`3x8QthSZ+5jGEDBDH8V}Lo&mv^BV`V5h<#*O>Zm4;9#g0<3+?#< z+An`Nm-Zqq@e}$int~6|y+tn7XXEniQbYEDYwQRz)0^dIvkA3J_EW)!ksL+k5CY}m zhvfH8gy|bkcy;NeZ?h1mYmT;t7cuVeLd_(y=77^)^aA`arcGAMOyys7g71rU;JTigH$mUsUwluz9jm$L zHqa-8|8Uok{Wg4IOgrz}0N*?GbZ6`sE$7;Y{oxh9EcA;pkK~-A!7Y;pF9@_Lmu=e;Z(yvHblVn zg>tT$JK?!wy<%Mi4QJ3@oghN2-*-oXh35XB4kX5PT%J*nm|{mb&;CUIbKT9}#4dqY z5BM#)NP9_)>NJgu4XMeBk5zpiybJDK-G3`r_O1(XF3bMFI!t}~?Z9>57-)w`$saw> zM4pVt-dS;8vnM*e-Um?`=4;Lia87 zCSHdv@q^!*_1s^b2-D_IHz(N&XW4Hs_Q|+@jc{?MRjsgq+Y_&SWZ)@DZ3O%y?1MOY zB2jo{Wzb*N;xYSnFYaTobZT{{?^MK2`d>(zTyx7~HqkjG>U1&1r`F2JTY76h@-wYwdh5;(SqPY>AJ98MU z>f@z+qWpB>-;BGTPP}bjiT4FhU7oKsc-!oYg3mK|5(c~anVQRPA5Q)Z#=!e>nT?>I zCaR8DJ67I5?`dW#sLKspW!hIi-$CzjYs_>PYt<(Y{fKcFZcQ-(E(2Z8N4Y@b1&my!~eP;vx#gi8kwM|rv+K3MD zTTbQPjR_Up!FdVP0fXA~R_G1D_)xcBp71x^q0{W-1^sq!FFj!cnXX$_;HkX0RJ0tu;gze=r>ms9#sjV=Aeuoj)6nQZ;Q;u{kLxPg7b#=tW_6#m_rR1=m|dz`|TS27NvQ(2BGwv@711# z22vrTzIqs?{@++H;`PGH2kF9pa_*6#y@V~jgmW|xzBzd=3w*V&sADGKR=Tt_43Yn`gA(jR)7&XOT{`V~4hlxUc(tZ5B zdpLh;bD}YFgTMq?flGLR`zuC95?shrdd@P_E*{AD#ZfiBK*66ZeN#cX)F1xUk9XmR z;pg|1nJTkP)TGo9y(J6N2)I^rzsuJAo~;i(?u-F-O)!->{O{wKx*cdbaN`3X*ir<* zy_ca^O0IRWv-r?2L$8$kof-EdS&*Wy9=yd~4-%;a|Kd$#9~WXflQSBEs}`LvIRXOCza#sy2LHRf3ElkUg^2L;yrBGZyw!3#YJ zKf!Xy0K2NspdtL-D#$kmvH{_ciF~+_{&pC#`@dSgFI_pAH|}BdOW|SMY7D+GFF2!Z zXd7g#J9u8;)*l|*qzmQ#b@TL(=cAN2KZ@d3W^jHPVeKW#M= zyH&T0xMMs+zi)?q4kWm4==+F`{;<8U&ufBYNKZKJX_)*ZIUTl}gwj@ST_P(hesG*ZoiA zD<9(X-5d8K#%K(!nW}xF*rWDg-OEVPUI^UB#4n0@U*;Y7>Ls7zQ6N2F|4zjG!r+U- z2+2=AT!p^ZA|!u)w9vgphzE7&A6QF!VmwX>`UP)y#o*SqkL+C^L?zQj$j1Nq#A@Gt z+hRj{z?R3-5zcq)_m|%5gZ1*H2lJyh*3BKD7Q zG=a&PTLNUCT?(D^En>_Q?IwyJd+k4FlKtqIQX`jxajAARcp@4+c7xB)0X*)jJTVBj1MoY^(X6@8M77KG}R{xfe!2uZ;A^#%L4x{LFdSSzsXTWO39YNquHN z1?qG3GKr!&*aE#$IE>)KT;||9^h#e|EEgw}{63L4$9lZuIp`h21FA!`7qOhB{?WuZ zhp7`R)u)~tPg5_xJG!LN4Bb<<$TuDU*XMl{IR_JhLNCLlXT=H6t@KbhzBFptL8-6Z zmr6N5XtoiK?KjwuaqMFt^nJ;XU5-)?%HU8MU%ekbIRysjech5CfIDCVr*9(k7hV*D z4rV-!vFclw=wq1&>BpJjJ1P4&<|w+;49Eiv8GR0O|&sB!_%I zF_QS}dNJEfo2ztwYm0t25BBj!2guxa68m%Mqdy)^JJ9D_dxcqhT(Q6An#+5A?5G4GKj@F7om|Gj9T^LyQO)??g z_U$iK;NQUSDGv9qwva(-twC(xnEonCd}b#vTafe#U78~M6Zf0&opO()YresD%Wbnw zbesF9x59790`z2G;ce{rwcG&h;nyom+$4wlZnL%Y(VAD~P&{+*Z+52rkkPZj8y8Fq z=6$a9`g}C>BsK)ELeCQ$M?Abpdbv-ei?6sEILgvbTh&W_j~^1rhhMOb=+Q|3YU+rp z&|i2AY96k+jq0A_uYXrRQRi3O#~6>YCJOiMmP}eIGnRAl$zTWJX67sf2ZI-^H~o~; zTR)tD4+tDL+*S7l&mD;Qkzw$^|Hi8m0rP|V}fyJ z4R{yW=1qGzwc_4YNw_z2Dko7e3P2icfL_Txab1g~w|;V+TuQ?_YI0hHaGR4ZAg9hf zwow)|kHHp&1J!@BsvZG*aIAeqp7v^=?M++*^b_*?;zwN_Lv0wK5LjYx40P-B7;1s< z#hC8?bQyi?voFFY!2=r3WfOQkzdjj9xd3}x)G<*YY^ynyA}J`#*3>n^toybpaXOz2 z3ZNw{JT*cOI`?z!j1~^(&G}~G#1p#zK`_=-9o(b!MiB+<)AO= z4nE&Kil!)+palF^9LN2WFByKw_pV)v{!;i9XYWK#h%wtKzUmj=T5d4TH4VHA?nR!o z+gj=lgLmfW{r+}m_1<>MUW&u7y$@AhB1`qXN9 ziLZJY&eagFl5U%R@RhxDp;aa^*7$V0aB7HH(<}#1?GbO8NPGDMbUQ|L-yZ&E{pU`V z8GPOxZ|fj@-p1c!53nx5-S&nbvAwpQT{z9+e02=Y7e0qxI}mQozeE(}Q60_+S9RAM zA@qImv3{OLyf#_#Bn*$eQ#h~LsDMxN`XwM@$OFMtlod6O`3J6K?vpFmzI$ItxK z3_f4P?5HbxRJm8}Vv63gH+vJW`*%N^N`ALDEdR5#lJr|Vut_4u57b_dJv7g^?F)_X zT3b$b!uPpD=Bb4WIBamQ*aoXZ*LEI~I-pWII#I}E4j|RX9l9`GeJ_n)lq3<)` zvO_XO!j9sDyjU6c0k67Y)M9RP8FW`(ll1e~`z3sytVg}Xe*SOR%3i%6N4&mboox&o z!)rxK&iN|d7p_gaGd)hZA$|dpJ01i-LlPg0hoXgBH2gcW>P=%x4C#w)X(zslN$J_d z{07Iru^(gXLTYe@?%hH7*m=uriRIK=lT($?GS*r5nSaI09mOrTR-`LceR_Ww4CR-LlcAhy%J zY8tJaC0|QA4!-2?_VIe(eg?m!6mwlRgopT(N&01fI3Grg@j8O%_5>p~YVA@^kxsNH%3|=r~}-I?VeLw7X?|20GmTHf8BNgj}x${$px`{UUxWV?L(n z_jiVu>Ydw>uS9R{4fvBspk}r1usrb*-+i1yCt-`cbl#h?P)Km8S&H`Be`clJWCPqR z?7v+x?~9KktkB?n@HY7QMQ{E&f>xvM&T?oF@sI7=VhfrNTz21q9#qKt!K(I@*sN9c z28Z&fH7}AX^-*3g=6&Hibcm&8&xV2AR&3xYJ=@g*d>sa=eTBRj=33h~;D`0tpWDDI zmnL(6Rr@gM-2`M)Iqah&b&oy+ei?T zc}x2);FmH-x>q!v2cE>UI?-wN!}p6Ov=gW0^tGhYZb*6#MUMst5iMp=0oyJ2g#AZ;p2YUXqG<47p|@HNh$Z%?rC`thofKGBs$%{ zm|z4Cxf07!e;|j6ucj%#<4pDY{scb^zgNg-NUrT-8Zq8t_nKP<_u2eX20skv6}H4^ zuZstAhunjOxkR{h&|kRD$MHgf^bFpBE?;}!CsRzw@1y1X&$F2Kg{%4ATRD`YQpmFz zz8L;iG8cRmpG1fYM%+N3#TG8I?NVr<{LQb%c=${>7g7{Kk5QWuzAi|4Gmk7PIKm#v zKl#jF?ghL4%_ElI=3#!ppK8B&oH{&A^$9-{S+LQ0Q6%wNco)uXIUnmy(L6JFO2SE53(f%V6EW{|j{Y+E zmgS6R?p0#cXQNTBo&NrQugD{V2P?Ur`@zarYtVtJ0q0Zak*#ph4lPa9{+;#C)Z#dj z&E+n?ZdHmw~{oEwH4thqL<;kwHXx_^UjkiVNJ z)8OZyknqjHx#1+S@Bg{#J$J1m;V~JL?>h3KB;vv zbci|hjr?g58+}gaDt8I`eeTEY6OKI|C%%h0)lKRbdx^d#=Aw)?(_`MpPmH4k;dBKE zPx>u*$&!;@3!dqG${IsE>te?n&zK50!)LVS4b6wLc9`|iV@O7QP)@WBcgqs&ka z815zD4=sjHAb!-p&>zcOnh)?Tu%D+t`jJJqbCkXJZ1khbzWGgG>VvO(ue#aV!w3Ck zeM}o%k!~3{WYfQzm_@uk+!+)@Um(Z38Ta}(%*nlxBK;gzRiAJg=I+@4aS5Oo%J+t?AdY8U5*XA@rQ;6K6n zL>i$>mVdD1@7|W9ADI^b`)vuS+I=OV==FW%n6tQ4jAv9pohRU4B%j)Q3JRP z@2!d2&k_ON1^*(!8*j=7`WI2;#vq9%*eA2jeRsTkU%y$IOuZ^S-~Yijjau-$Xp6oV z?nQ@QiI%z5qcHzJX+7_PtCJyAAwH$+eR$Ble>ki2QF?`eJx{WuOu>@%I|HuH+`zHpqUUae5|S2ry%K75M+ z{g@~k!a@=JFl(6?b0eMjAKTtLgDNvFzA^eN5F@Vy-`ro!5&GSie)fv_?v+iZ?r-7e zzra0sPM*@6KyHbuW1Wg2{#Pv!;F>e+i=Gf_ypYqdfq2sVW zFv?Z9=c`H`RM*G-#ba5`ZYONq<Q?j&YBoh2F6qSx> z4BZ>JvMZQNgntS>mhTr%Yr#{(TG|h}9PZ`Y3}4nb_RnM9cjF+}Z{B);gI>w__Ln`a z2vm@^CosQpFG64Vw^#-!%qld@W8hqA2md8_#HZ&*XuoK+AezDkP_u>lsq1;rAT}Hx zuSc=?05wA1hSTQMflUaeKFP2@1ySs zag`a^3kz?lewgSW@0w$N;eA{?@RTs_B*cIt?u9{OEBG?pXF4@Na@9lpkze2<0bF{tTWU>7sp>m|yzw zKm)y!b*}gA(g>%QxkuY*?Rl^v>drwlQ!#D@?{$>tj6`_ZXjRVM`$o=2>rNQy$PvKAIb0M#_4ZVr^Wzc`{gM8q=&*z<~ zSq(Hle;Gx`jcc1pb9ikEo$+%v77q5LWfRIe#*Ryr`%re>Sm7F6o{1bKUn^_D zkS)eF2i0d!zz4;Fp{Aor_6~!>Y3yfc0$J%we`0KY>Fr1>(N@u;>rCBG&2gt2oW~f1 zJk#=|nXgWyk*^2@w+zx;hEpWLCq*0dsyXZ8+EqOHh7EjW+)p07LH1yu=Vb)%_Ui#=Nf8{*sexQ$0^OgKgjwO-0+)LANks8~#GfX`30a8wdYbP}&Ro z+4w%OzwqBU?GxV+pd5@v@V5ecWsSTT_jXmsJy|)#rN%*91USdoiOzm@Pqy-1oPCrx zdLvjljdeO`UbO`M$mkQ=^kb^_HbUQDz&**wkQZY=Jod`Gmj507(ahhRiM}M+4{Z!o zo@C`@YQM8zn@`S0$@~2*-9`Dvts|%zV=}HMOCPlFXZRkXw&=IM(enLY-h|Y@2VM-z z_T$@H(pAtoH)9_+1X%IXDl@1R_m_bO%RSK-4w|TdIi3H65!~99KO#rZWA?U><%ZO8 zHRww*TA{%nrTq(5 z8N{}r|E6U~&*Xr<;6%X3?+L!8aJJw0YL8gcO!Z6phHGBCzbCuD7)8w4S?oZwz+M03zFE)pkkRVbhtFB&hYhZD23VuASV!W=(kgtW zp7$r*g@5#2ayHfFU%;C*Vyx%izuq#Ko_FI-7V)pa0W#x_+#kj>Gp3f zaSek9_$SOuYdtBKcnll$EJA(t&x4ew^udCJ>+I`6i5w6JL!WqZLEWTgGilAC$dOCn zPZoUX@MJm)`^8=4!<=NXbIp+N8}^IxJnZooKf^Ewa0Z~e6+$1CoDk-H_6hk;qZ@fEz-<~<0;#~m*=}=qQ*zi#i9t<*tTx(>|sXQ23M0vr z!}nAJwyXn|k<<#gJkc?T4(M zruq@)6~?R0gP*@Q+88=wp2=m9NE=Ifz&WzQDRd6}=diOT`VaqJ{eQ_f`~f1VG!H)) z&gEg=mw!Inmz-H(0G}V%^_r!>x#|6EiZyM;I6Gx~j{d!Ncc#Or4G#*a=yS3OC15~+ zFf1_mGxt}AD7{~G^`a3N`v$?E%yQ@=a4-HC&H{y(`mLdF%e{C9?qfqP_N@0B`AY^H zz|SxI?xvo!7zI!rosoYDajdueL5%oV?8cdu`_|-+!PkLr{s#Af!Bp6LW-wm=sUP8O zKGUQzax^Sx1iLEFsEMQG;2rADq-+L&Rdbg;vmxBH> z0D@A(jwbbCqi1g%*82xiy(Hgv_QwR;^8%oFXWXlhhS=RZkGSUJHRhKm-0N@{d1UZf zA5}(PY$U*PuPVuV|ENw9q27FFD&80I;bY$CbD}=l9J6rb!|9NX}41KRMZ`gKFKTIC>$-GB2rKGXHtkIDTP_c7+qO&*)5T&Z_4a^F7}Zzi_6wAxi>zz)2;Q9TFgS?vkEQvAp^qg5~N z7OtG299QubcIoaY{_40+Gbw}5uL17FHMddd6PG#Wa2jomq*N`C1x9zde9?SL~Gz{OL zI*#_l@=@AF-2bqK^04YdI92<2fS)Wqf-$ibea|;ECxjf&UbHr}nddJ(l%7@cM z16}~`>2i?8kVoRuV_!IJdecKzZo!%gJ~7U*&oAI|<)R zr^-NQma0#Eq@DQur|r#FeW{%f@p#+5Fj#ZB@Fxqe^{}n@wy&;9)qT}KXXULfi>FHr zzyhC@W%qM?3k}w57M)Ji91{G=?Eg&rfE*R`J`YC`+EX3YPjV4%^XbMB#Puv=E+!Ml z(iWn>5;br?ckc;3ANlop^@&y>4l`hQG;w^bhK;54t1a-1mpS>{M<(T2?YLwN!$m20 zmx;W%VDt`tP8Tr&+=QPWHf85AFSQ>S^S&L=LGUMw9~t}93)~C+urtkM&h4Bi_3!3{ z5@URZ{ddJU!k|LGD9T`dT%4EcCbcruFS$BHIUfBgIDYW6{|cG$)JN>GSAo;iBa_|+ z!&qR-X8iG|m6jxGg=B%)5{|6MNY;z*X%J zGZ854J&OjW(v=_>zmOkY&2gEh3Dk$<8Oi8v#eN}dN}h0!)2pYFKd@FO?0jTSSQ?r_ zO9ecRd?oTUOH-2cTrJeO=j(SxhO7g|()ap~VV$(T^^tmvru<`bNKG`h*uEKUegL+1xNvUt?hd9@%r$+uI!TryvGAfDgmI z{c-TGP2^m}*f6;dd>&}hp6Pj!+TZmp{H>g`YCeU=F$d&K05vn^w>b-*l5pYcPZa%Z z%{?>C5+io0A?N!nSGJrDVp!@TE3 zzt|$wk<3CLi}aEp|021kJ&CfHu=^sAIL_M|JSFjG!fzsD!8jMaS31I<%rf=yWaaF& zOr!s1p+UTPMZef1gMLBG&JyR1WF~6{nvCca9VR&!D`pXV%o}Iu? zX1%JBC-LXZtvT+iTxjuaETPri_HYUGO01bibb_CMEt2wk9i-=E$p`o`fD`ydSExVwd|(7<^g4}DzJ?LumiE3a%hG+v zuQ*@K5cK>_gf`t54ZEk(5bn9&=|#_*`gz#*YCwMxzqcd!puE1XkxO=LtTRW@0@S|lC<(0a8(C02 z7DE0SsQWSa$2b@NMSPy>OVD3f#hFqyS-FcBkfY{Y=iBSXVE%p%h@tH+AQw0G7awAy zV!WrEi+o~Mzpix{g~Bl04D*XT7a!3-gP`eRZ?oo!X2j9IYzN2uB0M?dK>58H30^k) zS9-w5EL`8zVncN454D9?x;Hc%1PU~G-|;54_Z7qht3ULLlj=mlw$hV)Ej*R}UfH)} z{>e_%q4;>;f1p!}j5|1# ze1mn&e9SLAAHLohrn%oNUt+%El+NWw8}^6pccb-uPbkCtg0Zy0eCU zMQQ#S`AXsGy~q8V?_pJ;`}29x5_~S?gx|w&Y0Zn_${E5h@`vA&^Sx%gFMN;Q2Y)hP z`$;pOX6POa?~6O? zyHRKG^({aBj@1n(vCEBiC9XUBskS4XNZd3v0r?l!h425{SNh?8Kp$T!F7AHdU3iO7 zdDFO$ZPncVSvt>8jiHf{aa$rsC3%{6DHP26kt{Fu!yZVWBf!s&g8z^?Q+Lsi$F+SK z`6+Z5IkD--z3Cb-jE}0PkZ@DZSCW3%uCBeqog>J>pMl;5h(xbs^pt?k8Ai6-kUUs_bQ^mmUDc z=b?WG*T7yA0_Z33Ja+ZbeyG~NN6Q{)U7ndHaGyb8u_3+iwsv&qe2Z)8so)@RjO@8L zagEQK>|phGy>k*y+hg=uVC*Y@fqvv>Tr6>@llCk2hi?o$2W#Qy;`q4DpO+2pL%WrS zd6s$hK7l%y6hnXE0=%!HR5!=GFZr>z47Y*UkLa&s)`{6L<8GHpk4DX5OAdd`nDD|lupK1GX4itm&u{TCbnqU0AbbW7! zWsu+k@g5BVNXETxlIrxwed#3p6xHG97ahJoc(7QHxWI2I{oU|ea(&dqa&TF}Gps%a z`x+VW%M6x{p1ifE4Y}nx^VgcC$9?Y$KkYkf7OuR9c+C536sU!LG8@tyW-6Z(d1O#r zzHeNTMcc4P?Fzpo_le$Fe9K7V_t+&%{R`NSah^57)kKWzh^m~b{okK^$#Z4*R|5SL z0i!gYAMO=hhCDLY2`?*5q1ib8XI%1@eAvnQDVi^Dsr<3WnBTaTecYN{?XlibVDR_l zV4GZG8}a3DBd8XGEI$p>+g4^wAvgQF`vst;#1tkXSYwg_7$H#NePUK(soNMAk zlJ`0ltbVGt9Z2Mhown46pa1#r^K(JKC(e|^KwZrH0qp-yh$qm!AS@Ob!ngiDQRni6 zK;=chK~9(ZPr&!$y3@2s7n*x*qDA~C5vqTjOcp<$lzt;Edqjg_an@H@a{i8K6 z3wgvK3g<`e+=}*#7k+~uUY?=A^f}KEMj|RoAohtZ0&=`twK%2 zs!wm1RO*4cx6g1N6P@i@g6PAOk&DbJ_FLaS3jJd6T`T}^JcAeg)qF$`O&gh_{I%Xz za-W(MoFuw<@L&JOgDo^TKl=L!a59;LcsfF#&#!|B?xfk@Z?Pc6{t8z1^B`=^=%uSY z{Q!(q$Gg~HvyZJ>AA%d{^`mysv$?-DCszGkcW)Rz?DL%$LrqbCb#1M`}^JGOOhUAnd+bQ4iTsEPNss3|!AG%nK2AKbXD|{Xu^m|&fy5uq)x295c$k(-8 zohh6TCd~P=Pn?hZenTdZ6dIhb2>22C4#opv-WP67ZS0HLpNjmV^r+{#s4t^ugyb;- z%915FxM@(D@UAO=7OnjStx0+z%|X~#fCBn%xTSI_2FA<#I0o-amKdBb8Jy$J+hHPW zHVWJflYWIa@TG|UhO2s z0p{R7CY&1RFVauhD3QKpkP`Snd>?9Y41HIe`<`^im?yz?2f9BPPLmgA{qCDa(`+to zo)=D_1NL@+-%@h>zdP#QZ0bzi!~V~mwn0^2HY}TxcrbdGrn>(xm|swglnCC1@JlX& zpA4NjC>z|zS!=0jWUA(^ui@W={h#)Uq8Apx=X;;`dAT@W7%zegv&z{WL2`@+CFqTPXMP6Ayw- z`t|!~xQ|&J?LN_zM>ZVjJk^`fVmu-b`(*L!l*AC+NGL?TZpgWgesS?BeCjWGqH^q$ zFJLYhgZYK^lm76-aNWfBjlffC0z+1vNNR@%vD+}b2mBqI2|o&tqdWt1?8?T(Ps_^rp7^TcVk+>fHMYlkL`rtVb`4`Sh_@=>Ea^gt; z?R8xA`*MFgy`4V!;J;ttec~PrLouYji z8%)$(KJ@uU6+TBY!GpD0c=gZKVUml_8IAcxz^vs)0{;S*x(V06({^jslf7~%fP0NU z>rD81&!5*Nig;V*vL-}(eAZs6;CDo7o(sC9?2~>^7k|P%+{^khkgzg(#yL+_o=DP% zv=DrL=FDEppfm7Q41+(JbBF%+o^t+lX`D!mlRkbkh9oc0-K@{))Z2#SIiA_exp4tH zv;_yY3jGLFmqshA;y%Xz>EfzfvU>1avOxbLkNEhjys|G{*Ji9wpbD~Qt(MkMTCzT|Me)={wSADX`r*msV=5w=hu)-rKobQjT z0*P@@wd+{uef`it;iG?&Q;)d*{XTe_;?Mf7w{YSblvVJB;74Y>N-ewVh8-7qyqrwE znR{2opF9vV+<7@y{EEx&n&}Jv@I$Yh{eAnXO{|cU;sr$61mTg*Gt6Ymz=26|nuqrd zppHd9*Ex=RqxigbL{o|1`ahONnd$RKTr68+jN!$Eg`M=BeSluc7&5OiZ~Z-B-UqFs z)|IDD1lLQKl{0K<;ShYG(O((c97g_#PIMDA?v3EIh##eXJfU8s&g_EA23(O_zw=Eb z#_#{=6i6)@@O&nT*d99-ed6-(S>J^~S6KTa_?FDqiG@Fz@dr=wzDQ5^>nP=L?l;Jh z1B4%=sE!+)P*p97v4oXZO;PUodJ{Dhu-GNxYgx>JpP%=NTf&If(3>at>hl|0Zivn7 zx|`0`zgz3RX$`b%RZ{Qq7T$3|;LkMwwVBn=f;~DQO4@Hu1i!VY4HTR;l zeY2kqJf5!HsTvu|iK>BpG8ShW-X*H;wZ@ltt-SA6261iFn>OJzp(Q3@=#>Y6=Pv7- zNE~DBRf=9b;GGusH0vC<{IZy_ z>cqM(^h)02*ZehsGI3wO-?W0K)FF=~_Pswv_b7Y8Q>qPO`QKB8bM|#{CAnw60tfg2 z;^~EHxjF}06^Os*Xce3{9C)7+K~}t&-HW}cfOIT$j(e)#bH97Bwg9cNu^h)({`WO~KDnr;1Q2?oYm*pDFw{3yp3ei)uR>x2E5R#~RuMsFd_d~ZU=9llVe_~&Rmy71Mt43(vc2~0SvQITl(|rm0k#J2| zb^M({OmTN=7cD&C8{@#cVE!lOea2`7?J}D0;glesUjD3W&8 zz?W|T`nQ;$i*toBM-xIa^m#^K66@D5z*9o0dXg8oG?109T(HQb4XY7oflu-Ub1Mdb z*T-Ng=#|m~VG~PSgEYz)?*$hS&%15N-pL-mW4u=rz==JCI&(LN(ewoQh3h@TiRs}b zU%65wA577XlBddOI8*sU&-)5jXFPNkzW7bxXbo z=sX0xLoD1Lp&wcPoK@)OL|(qjRq!pb06LGkIS7V~X(RGz1LF8UUrSNm1$-bpPSt9a zLU4&xUDnEq76Om`MXMyqpX~lFSMv0OCl(mu7wwU&d$f%a)P)1y;3@IhL> zQ91a(sQ2!)0eK4UnIBtf2uCc$j)pG9Kd?VreJ#){dos`KYOuWLpLOn_{qo3*@p?23 zJf*O&dp>M_wUhQggv3)i&x_z)2&bW4p-~qf>?LW5>RTEcNRuq$XHw%6q7mNnGDn#|P(23P_#9;7{fp<>*A>*u#*(Sc048;)Jivnp>??W=!P1 zy_pUKI>U%7@W(pxFC=KR=6EKD>wX$~CHG2xw+(%-+`lqlrf{eq4{;Yi?6&{M-kZS3 zko^DugCNKfciiKibp{FJtVS^IK@f`-1aSvJoEzuH9RxuTS29SLT#U2hSi-X6SYlmS z>xet+jAPfoXR6-jGyR>edHjEmHZ%SCbRG|Cy5}`rRj+#2yPwn3Q}b!2>3coTxb>7w z>x;g*hfM2Xd(ULJcQ=DBtQgG{F#b^T2<|?2?($hFW(u>MTfSx9Y3_RYcifebFF~gJ z6}`C6D~-SF*lG-SAER-dEAIV1UU#r3!(H|HkViY&^!wJs`sHD`)mL9c_u+nr@pRGA z6Ap9hcp1N6cIY}X4*xIQ`>tGUJV3*Im{h-wzh9z`qaFy&e92zJc8LE4hX2 zw13QJ4jS*X=dO<#=ga#llbG4YA9fo&2Hy|e^)`A^x$N!M1G#mejlch~!_V}+AO-h+ zztg7B8Yj58UuXP*wtn1tecb&4dE0aAT^N^nm@^BWLg%or8{H1{IX}_EXMTnlOKC9+-fF< zUf}~6BW{=fjeGwR&#iD3SCH9ykh@W+{uKQAaLu~-zOFpu@$YJJ>rEOj%kK!ghKzS{ zudg!!zpp9%176SY)I^3`MRw7TW4QZaPM!UyaLK03Fz)Mu&7KZnj6d`EE_@QcKk&;G z{5fCtaK?1qF9tEjpIfc@l)KN~_&({bg8AO~Lw}>jnSM|FPww-Um%kZ*km(BI?w&_G zf ztm3{G>|J)a>AtX{odz=8YFFHf+1C-by3@SFk=*-z4Y$7X8ZIvzzn6cx2KRX{ zx1hwM>yvSuj3Zph@mNnIP?X|+SChM~WM!54`1@mfx!-r?en%vHXAj2sHg9BlFup!E zHMi;hQT7=AUF^YJemDL8dXH;}`!&{WRWrH!wTvH}b{)!`GTtx2-B)N_7PfaK1zv9@ z-iI+QKr*v9{++`z^YJ?MzD*e8?daaz``;zTFY>e+P5AOQnr!@{YSJiXANTc*yoy}L_lTzdjD?4BOOY!V-tjNl4`m+idE>64N~CZ#DH(-VA%)kMJf;oq zXs)K`bLY-&dZjBlUY=Y*Yx0>S*+sAt{ttr(PEq>yY}d}{!WZ5jG)}b&_d*3b^m)J7`z^~LH~c}DV}{$e;$RqY2LYWyIo8NQJVf2o{yAz_6 zLnnUJt6O&;qbF+8#-JEW|M^YVkR741bREuq3PsRrx(>UqPr|v(|DALlzrFU_ z7C){|DRJ9z6q@@HZGPy)k8*Ld$T+7U4vKQ~%J>(q!{eumz@<WE}@;i_uVH-n9KRSd z#I>aZ*nSCYBjK;!^XHq`p$jvu;y2hx}HG)LWWqI56z@N`pN}{biV`qu0Bgd0mFI zqbzg8xPJP=a-==wnOtFqrhoX{VAI+3)>| z1zAec-pb4pZkgR136)8^t1x>f_>fSas-z!Pnb(uc{CnlQYNS8a zm{R|2U0?HhHPWx@_`Zbb>ZE@)nEr*5(tjISgY>foGkaC@F;yDXB>k<)M3*_0f6C{Y zq~9v$WOSG9XMa(V{(sLr-}OK>Ji`SF&Q_)e;V#y zpZHgw`Q%@w+@TxwiI3dxA-&PwT-d{t`00s%M|Qs_@zs-QFyqFQKgu>B{x)Dv9^2$I z|EC7T=LU>#?jgnM-ETnrZpb`nS0nSfrXlgYAv1LmcR?k-A@RQ<<9cE5jM~K-k#T6m ztaqQ(@%Jf>$apkjYWX%P{nO1xWL&(MBkMlhS212>e7wl_b-l`ebF<*pYBKI>X6cD~ zi!0`+$@n*AD&%|JH*G*u5(iD0y&Vr!pLo0}iHD{Pvuwueay6QfxM+sgH(1<^#0R$? zVF{NN<6kx-al)+=&mFCdZ*vka&6x!om)1IIXinm$IaBJcHfIdCUKXD3-0%Ewzw2CT zZVM7eEtsamZ>&yz$bFx~H1Aq6=XPxxJgRd`5?3vm{?7;3FTt%xh4Vy9=DBB$e~y-D zMdGX#GduXnxe?P^k$7vx6fx|LEPAIEi95t>{WNj-;WmiGA7UD!CSJp05s5>@3_1Q! zX#RW*iARR4)60;!WSG}3C%Pq!Vn}>4%#j*9yz^~hNSrdve9gl0{Vy^kUb(NEj0()7 z&()g5ZEL2KX@SbtBz{{ncjD_@>NmVKiR0Ex?8U-di(8X;Zp{S!oxM5FudPX3w`SDE zuPpHUr!|T1Hu(2r>$f3s-iA5XXI-z{L)wsdZ^Nt#nbxdtL>m(KZJ7QW`d5xS-G;<} z8>ZTkmae%zv?24LE%S`~xTtsSwq!oEWm3N6y0&{@TQV=&GP5e*Kk{WoTQWb|GVR-* z-tK#%Etw~6nIgk;e3%B$ zj05UJ=93Te@w?*R_00Am^Qs+llDpk6rb;_9zuGZNdR+hGlW#jR&)PA*lMWu&{@jkt zw{}d0H5+w14|4Z$ndV(P=E441D?UDLN9JF9(|W?)E4C-|ust*NW9xxCwC%}!Y|o(b z#uH9^GB4XRuC4Ob?v~P?%+L1Br9oLmw?Ar6<|%ibkXzmDeVGnqzII@SY>&I!r3?3a z>!x|zfvNq=^3z*qcOdh(1M~V}Q2aZ62QrU4Fh^W_MRfkF1DVeqm<7h)MK7r#^IF4n z?NWNk+YTBszcoy$aUV3DrfbMN*D!Zi+^oMPPDAFqhKWr$TI$Um4Vm{ECWu=HT2r(m zng1P`rf=um-_*7v$pamkT%`kkeKolw$p;;obL#eq9dsQ@Ug*fI{z0`q>W_{jKXk4ew4b?r>@NoS@=hrW+rH0wC8kgE_WbuOJ|a2Ix{2V{@L{W zQfHEHIx`Kqb$QyjbRl`C3-j^i@zLuVcOm(w3v;sQj-Jl~yO2E8g<0BYVbj(dyO4a; zh4Jkjs9bxY3&~4emw@#!_aAcTl#k+d952W zWI_K{t5$U*`K=pMJGN!@N2j`xJlBnR!~MK`i}&3~zU$5$d6MgO`1jpO-s{dRaJzrw zLI3U~|8-}&)jOTqYA3mnr=V~x z$)j4P-o63jH}2Ase5z%NrCzxA3%C9`&a2!yiRrESWOMiHV9wGqH;uoq@|OF)t0~WN zzpwF1*|J^X9wgs#_aEe0r5|6j2g$oVn6MIgs%>C;ko?<&8B;xY-Kl;(NFMINaChZ$ z-^A!a@^KHwyF;JZWtR3JdASEu#_!DEZMo}$nCp5l{{*UsjpKgD6X)q3%)M#5G9tP4 z$1#WW!0T=rf5*U-w|g+VH!fkHbNAh0j_t{;i2K~oqiRo*$9po9j*g9K)1oKI=RKLe zzuhS_ws%jG*LyN8j0@Y2>q+u^Pez%YsyOj;Pm}z6Ut^Sx<5v=*g`0dDnVv-d^N<(2JSgdqhfV#a`sR z(2MzTc!ug}6Yl#lCT{J;w4K^9s$`E|qX8Ry_oD> zQSTzS-BSg+oqhW;cfTj*u3pS0(?Xlveg3BNN-t*4bN^GV zxZk&NseHJ!NvmV_kg7dB+#8XEDr|oPT_o z_grs_|Kv-~L%z(-p82P>jPxbvBVUFc8uDyJ0(YOY>Ad92>&@JIqTooVH#x8MW=?;a@ae(o-sJq&o7v;`*Esk1-sC*jn^{r8 z_g=Hpy~+8mw`qOGVRyOjnVQafy%|5$`0R?D-sJq(hiRcTHn0yl5B6b{gFW>3YxN=L z!#+&jiHoWh@##a(i+%9-+6VR_=f^(Gh1H`A22ANg&XawZ#2vS0Enm@xoG<$@Yg4-Z zZP4{0=gmIM^wY-z{yN@=oIm?8gG>wD_95rdK1|!J=+5dleaQK=FH`eFQFh38eaU&X zFH@-CyoSqa^d;xlzD#!6H#-lYzT`aH7ymx3Ute;*?aLTiTwCfku`fCA_GLD8?VxC~ zq%S%D_GRY$XqYs3M_+Ot?#m1t|NWySNBffVabKpBX~F%z0^dskYKgRp}ytjY6 z>_^V?eoUEWQ?!eo`jPX!AM5}%t*5^S%arinKT<67eLH_@L#Q~w~tcH6yE;4qL>#YKx8|9Ga!7s6|7sGL( z6hHr8RpMhyGyn5HN6Oe|d0iZQgHl5tWa;TT`24^SPuJnIjY8qShpvPClD3zwgLc}x z6hE#ql(-Mlj4Sc|xF!3+1%#O^GG#w3{J1Y^KWuSUbPCRUkO#T0%YXkv4hVhTt|p&% zgB4=)llXZ&ONrYm&GQXo9CGLYX<4Sx#vSmNGfH3pY8`%#FKXN4Phb>-8KZf%j?T0O1Ql#O$2YJw5c}=dzIUEq;rO4Bk=R@b`C3i{B zQ$8;R{%YwzKU#p7LeA55z)PC5bRF_rpW> zg9~OeFO`@5u<%1EX+Lc7lIJCy_aG12E3e7*IEMp5yp(p)@_gw0yi`rn^OVm^kykDK z=SK_hlJ0l94tOc#GF=C}q)eylAWwu{q3ihVwb!=ze4vtaT#4^T9oY{qn9aQ8Df?mJ zhnK|tu)Z!s<~5SHA`Ix*^bP>`ysxZwG^LA)RK8biV$||9{eTU-|zIUH6s$ zZ_#ydJ`1}`*EuTg#E+{Ml8!6!{a|E2xZpPPzmM#Pg&!J8`(cagvmW5Q2YJv@c}}j^ zF%F2IPrFEZzVNw4`V;m5=Zka*i z2U_L)*Dd`eJ)ikprF%u^7T_wwYq}1&DlD6>1FrIXLDxZ^i2R$bgSfGGDLzL8NII^> z_ajjDg9~aiSB;VVu<#>D;(l1?s_Zv7-?_iXr7fO6EEa8)L6++qBoggl{fp&t+Q_AbTeh^3N_ zEAjmZm;K;^+RRlEvL6s%F`ALqN&0=TrrRhmLr2l>+8c~Gv;u?`4vRVIla zXr1$ORg|RXGoP#Uh3VV^T$Ngct^=+LccbfotJDSQI>-~z-_dmtH})>Y=ZI)Y$Cdbg z?2!H7g4)bgI@u2kKjI|rhjp&XamV@2qc|>Yag~;Q4-E39z4M@4pJN>m;wm+XA84KP zb5(W~+}8h&^;|s<(76S;iZRf2z*X)kbRBS2IB(ox{Go(Aq1;bD9_Z~|8na?9u2SfC zQH8sy3HrIn@Ypxu$B={gv%5Z?E<`R#@A(s|I2$A6u@ zw#DbZWQm{G#s1!fLH2_SW-|vLk^QjnBURFV*y7tXCC+=02kn*DS!ymjF8c`XNE&2|Z88 zUq8e-MoG98;`70&%DA@wlJ^PKEaRB(BycBFovs7!bgx3!0e2cI(RGk-l~w6FetYe; zEq+|3Njk2?_v5_m2N%p{?o5~cu<+xmr2VkPojKp*ya##EUU^Nf$2lAj;?8igZX2{x zZ0;04k7r1Fp7O8L`PZfM2=G!+J-QBfiK$K30WW3o#vR5VO2`x1I`rd#-rlA7adk`5 zaV5SVnX(^TP@8$_zU+sEA6XLj!}{kky81ZZr8U5%Ew0iw!aB&8_RfQHeU5cNh^w+l z{6OoRpR1lpdOq{H%Fvk3Ex=W2P3St{sz@)o4!DYGNY_E0(0S8!5I6QN#pj4@NynA= ze!P+W;DXxBRXMUB7Jht|xF6QJO3@VOJ7sfR+Tto*3#@~DY41EJ*XLLVgt&?!@dK@M zey&pdSKSBb&d|99xJucYt^=;hZb{bxS4Hy19mXHZuXzH|j|X~tm*R7Ti=^X9d_P=e zKe(VabCsLyhlL;R68FP8SNXNU`7XoEhGG{m(Dpy}Rw*Xgp^rq{8tFn5~b--2Oym9A8CFF^mp7i7KUuUmv@#CtFq~l6_KRjhW zxL`JOm6z;?g&%5(`(d4{w0&^C3-ZIIEw0MxhjoxI?Un!JdYr=nA+8E1@dK@Ney(aE z>G{m(D*u6WZUL?e`jM^!u44Mrb--0wym5!|hZ6FHb^!f&ptpA^K1VQ;jw|u~@R9xC zg4)bg8rcsEKe|ZV59?f|8-(*++F)GT;wtS>tb=@M?>s2i=U4}XxGIap546ttxk@YP z`ON1k!*Dvc09U1rpzDCEA_M3;;3{SaT?ctWH;k@>xUqLBK1cXUItE7Vjbj5d*?y9KF2yB#8nK5A84J}T!lHpMWH4Y zghp7dYZk7<+d8s8i`-YHBG+T#{xkmdSw(Jqz)v6Or7fwv4Wc;gP^4<+OY?Na*jKyU9-e2&;5>9`W# z51s4>7u061ij)1Y@Ixo3dunzL2z4M@4pJN>m;;JkXKhQd{ zxe9ZHtHLukt|5ecehv4F@juVj5M4UC9t%4D^;v(SQ<3)=*m@t&^+Zs{cEF&r=bJ{e(E?m%yj)>*+e+)66w=9q?(`YPt^cZT4Eaj^AE;ZHv!i z21&=2_?uT`*;$LU5#Z{VEoF5@y+B*-*^*Po7A+E|K*Qua& z&d*i1Bt4(`T&3Sl=N90q)ID?^a8KW;OE@` zrEQ_}XZT@DZWRCgDRv%rk@P&}U$6B~we+7KlNz!k=r~;m+`$~9>wrSCc;n8mS4DPc zS^Dw#ud~;-_`KvQ>9`W#4>#ElE||@{i13HU&l7yFP-u5ZBiM)=ngQi(3~2|lxfPDi%Wp5gr&M3?c}Qm1%>x0Ua3 znN4(_|5)n$$acsVyx$dneMAwKuYjqcP_LeBr@P|)jv7tz&xan8&UX-3YBC@h=Pcux zKTaC5BkNbX4!F~hM%Uq}Q7HUR({(CRZ`xV9j^AE;ZHpgQ!EN!$mXm+EC0#$IEMp5Top*-2U;mMS7DBDQK<9a z8g%6S0Ne-0e}AAQIt7Vu(DCCvkm#acN&3wTn^xs)a z@z0xqRdHXX`8_5+pN9TTA4lNR@K8N}t*XtMug!t6;o#lB`Y(5n~ z-_MlveCBgi#z#y4`OyJfmGz0P1FkaU&~?C7{=9ML*9&`e2ZXrFpLgBM`MD}w z(({?mRh}+DI@Uu`Lv}NH={n#l_uOMJHK`n*`dq>uiz^jyDdIPL`XWW#P=go z_Ja#?Ggn2)epvVsEpb1rb5%$_obMuCacPUIlm)R)<=Av6*X|$(gt*E;;s=`L{9Ls| z(({?mRbk)Zc?tgWOAXl(S(vT^t_mzf*TJ*y1>h0CM!c;eyF=XQI_t0g_It(W2%V(k zN_;=!WIwntHglC;_QS%DWQqG>ovYG|;Cz=|6qmNRDzyaGslI*6lWTB72ZXrFy%>%Q zXtLN`g*n1S5t#?qpe64I;Jz~c`vX1E=}3Hojvw!Vq`{gscp)^hE~ z;(mfIh-`MHFTZ`} zlWTA$2ZZ=k&*L+(`BeOTe_qn_na@?BmFe7~Awd*gg{}jx@~=eK!LzOv;F0wxRgv96 zO1jSatH1qT@#898(s3oeA6I2RxG*+zRfg<`g&(&h?uT`*N~?8m+TyC9npmg$ z_9;)U!3iA@;wsk~I4+>c&d*hulAh0euF9xo=|7AElp69Nt2SK+TxC$vb?~e|Z``3i zC{^S^+V}7Zc*Z$O@j2qYq~l6_KeA*$xKKB9)ic=-3qP_Y?uT`*Qr5-!j;W7JTU?dq ziFGRHNQ-hS?CgLLSNW6pf#x_rSG|$+eCBhNrx%`=;6K0AkR6OST?bs{-jJ??XAQh@ z=hv$uJCu#!6?}zbx5ej(97)HO_F2ZXrFK;j3QB{o-Kj&M<1UdWbK39eI!1EIP=a(9?BfKYF z2VCXfovwptUAw{~evNorMRo^i={oDL{`Pyt=Lj!J$CdbgsAWI6Fg9~l3)v3~KNyMo zVV$eedf|MR)f<<#xGJbG)~UXI%9CqwLI;Gn%C!%U3uvP-@!v-T5navz9M_=Z&xmz4=z~|GDVf1m-kj{h+r|W=E{f5$YU!NWP^^sM(RAg^p09|MG#dg>!eq0TZ zbXhm3~o$Q)1C0axkA&~@;vA8*|G^{U8@)UogizQVEF;>T5x zq~l6_KZ0dHxDYpURfz0|g|?uT`*@|b}0oq7^3ZE;mZi~+m z^CcZu;`}$niAf z{RQaw?>EwkE}G02(DCOFsn%%=@z0w&N#{jApDLGH#xZ{&HDrh9GP(}ZtiSr(?-f6;;v^kc;`^bO{oumb%%{n+9~OQXB<_cGJ`G%s^Icdt zE^YCt`zowcefyLr*WiQ>2=S?o#1AxCY(5n~-yf0meCBgi$QnE^!GC_KAv?m>(sjU9 zeyi!aug|Xh`iNhpXG=ex}HxU|Jpfg7<-Wrv(6SK)jP2yvBS1C9%5vGa3Px}@hbpR3Y0Tlx><0HuaJ z$lOBL0axjx=sI}Tk2mg6ACxNcAaxVG0-kY>QhbiMD(Scq-;WI04=&WrTy;zK!@`eD ziTh!lt30;ie5c-yOIuu(x&!M}&XE@7R@m7AA+GWx@dM3qey+MN>G{m(DwPh;OYomx zYRC@tF1il5$~A_rgJ<=;ap%{oB0D@{;T3#^W4FcUh%8CRmH2)F2ZXpvPvQrfB{o-Kj&M&V~@!xNF5}k(37trzN5A@$zOYzT}Ig-wcd_GM} z#Bm@rej4&bMiN~Ie5%vab?~fqFFdkdvx@9CB+zx%U;XX(iXT^>B^_7d`=O|gN0B7J zuR|LB^^r3_5Z@0M*$-~O&Ajd^aX+l{se1~}cb*4uX^T${2CP##^JI|Q_RSm+;!`b& zAE;PtJ{3Q|xk-9H^SMfS1kX$GpI>Uo4$q@>9dMQ65M2k)>UiVMuUAEOxF3dB@D+~T z7C)}sB^_7d`%yyng9~vpM|jA7Sol$1;(l1?s=#A7--V^((iT@m>+_ouA>>QPW<|Mn zdpjV+RXP$s&>pe53XU5vIC!w{$g#tE4VyS}*d&D_n0st|ZtSqZlO|6bHg?#!;4UL4 z1vdaaZ+}C9{fz|ndkO6K7TDidV1E;V{c3^zO$GKh@FY+0`qcnB%-;_k=I@6N^Y=rC z`TL>6{Qb~j{(k5%e?N4XzaKix+uu;2zYPWY+fbmt4F&q!P@umJ1^U}ipuY_T`rA;T zzYPWY+eo0ljRgAJNT9!s1p3=Zpudd-`rAmLzl{X?+eo0ljRgAZCD30lf&O|4^w&$E zzg`0U^%Cf>mq35L1p4bG&|fcs{(1}a*IS^!-U9vg7U-|HK!3dj`s*#wUvGi_dJFW| zTcE#<1^U}qpudd;`rBBbzl{a@+gPB#jRpGKSfIa+1^U}qpubH7`rAaHzfA=C+eDzh zO$7SeM4-P-1p3=VpubH7`rAaHziNU0ss;M17U-{9pucK?{;CD~s}|_5TA;sbf&Qum z`rA~XzfA@D+f<;xO$GYfRG`021^U}mpubH8`rA~XzfA@D+rX1_n0H=o;7L0CfA*6O z!{?$}cmO~nm;X-=h=0AKj>O;3=2e(Ni^Nwh?#hMn55g^v!rk=Po!gB+DN~xB&&%nI zn%uc_o22IJ9iEc*!`AzD?IrAw{Jz~32LE&aiJw2bBt2jFpGz37;`t#I7#i|K+V6Co z2hl}drt9EYCLJDGuUSQQ>#ops)?fYY_lh4^YDveH_$4k+dJS zxFzi-&U=stzkNoNYj7q9gg$TZxM6ud6#MfA-~&xw>_%2Ht`FW{@b5?RCpw0Fo(4Mp z=W8KE=bDT^M+2SmH++0gvOk>YbUau>5V;u2)`F2z3| zYO3QtNb~+jh%2}b<9Qd4qtLi$$P-K^T?gFhew(g?XAOVABkMJ*$Zq8wy3YEmzx`hE zbf^q(Iy8nPqkFRBD;0jbe;8AfBU`S zb40MD<4Sx#LS#Rr~%9<;gWTp#wr( z#gO=cCObb@&6o6i=5v+%Cp<5~e}1VUJCvX4I^e489J&skjpU6xzg`vW_z16n9nMjT z&k5biwly{O6Y%vLhrfT?bsH$xYYcY@twO^TwTDFXRco zJoMx7UuUmv@i`(&(s3oeAJMWOTriutYKQEHg&#VJ`(d4{^!aeUOLxVkEv||#gmsWF z?Un!JdYr=nA+E|M@dK?Co2!5$l;pN}RZ$#=aNoR^YzGy``_)7jTGmphBim`^@qR7Q zWmL7)DXQUZWer>g5}jvVOPwFt4ylj#hZ0>_V@sW$Y^SU7e(=fOrTFK~I7#P4h$}T2 z2-hO?@c};daHs2lPqWh$`ILWNx5cM9C2)R(dH_9c~Gv;u?`4vRTjC92CZ{`uDUAe`ON1kLuER*09U0| zq3eLFA}i5#z*S5Ix(@P$PD$56+}OJmpCd9P9arM}aZC1t3u-f0Wy*e7_;Fw2epu%! z{^v%vxJp+O=SRqw_RfQHeU5cNh^rX#xg)gB`MD}f(({?mRqnOv+yY#stV7oUS7oc{ zI^e2E-nhf~L-{pN)S@2`^!6^r=ZI&Ljw|u~$d>)!g4)bgZ)86#{K%2GAJ(~wf1iyl zu2M9>`SEMMw09zu>vO0BLR=L|?$d(CIX_o@mh^n)b5)=hom+sbLcHlZ;3`c+x(>K1 zn>X$-{!l`m@M}ar9_Z~|iq8>>8n_SAT#r|LKU`!#xPUNom8VRr(s3oeA9Z9uxS%$3m8a~7 zg&$rL_rp3@@vm>#;wo)7oF5@y+B*-*^*Po7A+E|I*T*)7T_x70J;viD%+2) z1FnkXjXOU&zvhV_=*Q!~&R*N%bA(pXaV5SVzOo-&Fq^r`PxiyYj{y?*!#Y>_4aE5_ zWDqWGag|~))_u*F_DX{PzbrL>ETl z8+815ch8THr<#D{8gyE+9W;r=JJE$sx76v#cG^t5ANudCrTFK~U`gjiKA*adr;j7> zsYei92Yi|}hOPrX4If3Fn?!=F)5J|_C_=WM z6*Gmd1Fp*AjXR7#l#nO1Q|ZS8y}e8E<7%m-<4Sx#!eu|Wpf+<=gzSffACVIG!#Y>- zuUpvSD(!5XA0c1bI}ghBIo1IouFB$F_i}!&ijwqv=5v){4xL+otJ3Dub--1TKhbr- zRm?294)TO9l&*7BREy6M(UOiU@%`8#`@sdbnX7cN9~OSZN!$K1k~i)! z{!o6+6N~A`1HHXV@i`({(s3oe9|qYEE~w31bwu{V!jDvm`(d4{{FdQ-7qSAEwzx{O z3hTb+OM53mxju(FAjDOXBz~ZAVsjPd2p0uI?ib6LhvN|LE91XE@FO};65pWX$9oXb zrLVI*UJlvz*nsz^k&fwi=QBNm;~DPZ?F_OX`tPiz_~*@2lFo~KKGmxA0J3`=RNuO&gFm*pQ;JRL2Je4Q}OeChNR~+pQ~KA(76S;$|IVt z1Fp)7qU(UG!g=Ek;}0d|iJVRJ6DGm$tYnX9w0nzO;89l143LCPT~hz=loptOw#k2&sF|9I=28<1?{5i zfUB4ox(>K1i#P5t{!l`m(8kh_2YP##;&Vi{q~l6_KivOCFLR^(a;s;vi{9L7|iQD?$@q3kq1Uk0>SEVJ= zb--1T`{+90Dkh$;gFK#T6U82`F!G|`2U z_YI)qzmG5wT}Bd)YtZrMMLN-i9JAC#lkL=0ydV1Stflzp%@Q?nU;jJ!)b9v=9Dz>* zkJ5F(r|Ls=9q?)90lE(It>!RY=cu?7Kdw9^9arM}QC{|g3vM%?DrG+`{HP{zKdkd9 z|NLr;Pclg=w_%xHpXJYfI`1xKX>G{n6JXQY-om+sbQcu%$z*XTV z={n#l^>Mlm@s*y{2Io7E zbGWp{Rnfm<9pp<#K1>pWct zTouk6cNl*tAy4F7pdSzP_AbTe2u9LzCB7d%vL9Sfo4HCO`(fcn7m52}ovXB$aJ~z= zf=gRmm2(yAAYa-$56bm9)&U`|3McUct#f{^(n@+h^SR1DgU&6$RY5oCI^Zhi8eIom zmBkx(7=I`sPiU{xj|X~tm*R7TucYHjd_VkTKe(VabJYOZ4+}s1CGLlHuG0O1^Ih64 zT-xHQ$h%kv`O@BbP_ECh4hV5o7KtBdo!DFj_o-#&$2Fvr>#T5J8UMN~m&i2eH=ApVBPQ2 zb-<^YnRFcqD@E8Hx=uyv&Hj_Fb5z`kA6J2rjw|u~7$f_^1-F?`gJeG}{0Nq~AJ+Ml ze}1*ar`cIJKSI8AR6dmJb&LZ-d>Y2%GqL$p{CpoG>G{m(D!*rRZUL?ed`{N^SE--S zb--1bym9A8CFBXsQ~L4vud~;-_;EE;(s3oeAEB}zTriutYQF4;g&$!O_rp3@MZduL zE;SpMwzx|33hN+W+AIIb^*DzELR^(e;s;vk{9LtE(({?mRr;SB1Z( z>wv4&f75l4C!*ibbr3i9F2(1Fa7o9N_ zT-xHQ=ucP&`O@BbP_ECh4hV6Tn#2#Z&iT12TGI2G&sDBp=-dKa<)J7DLu9oCuFCpM zKOS&ZIB(qf2ZcP5^AG)a{MXrQTYQe#A?dgh-w&Pa2N%p{u8NcWu<%1KaX+kcl{Od7 zvq5=qX^X3vd{_th(q8#buE#kX5aOzE5d@6pvPm}a~=5v*zIGtO7 ztK3V_b--1b?sOe+RTyvFVf>+lJds_Lemv0IyA(gJ&PzJ3#P=gz_Ja#*Ggn=e{jl&O zL*jl|=PFG}obLil}k=sJiSdza#K#2ZP+mH2+-$bN7^ZRV=avL6t!(sU5{zyBErgt$sg;s=Zno2xKK zxG2KO2|bN`ehv4F@juVj5uK7;j|Cn7`fMuEg^>3bpyR*a$RN6OGG9Q)pFhxlXD!7) zZ@Q>(U!|EB`FyJNr1PJK46J_xx(@QJXFa-(gq0$rHeE+dRxtJHI!DEw_;KYb>9`W# z4>#ElF1XEn>Mr|X;YSIH`(d3=BOBs;XYj(MEk0!$V;wQWQRz^w*Fg>l@o5H$A83}? zd@6pv_mK2_=5v*7aOm$tYnTZ47P411?RxjqLwAjDN+Bz~ZI z&d*hhq~|lAtNeWF+@c`^6WE)s1FlkcqU&7A@iKYi4&x6c4Oj-gaf)b`{=sRo-?r-gX&o`#;-PmbYDww_TpM zU4geicP*Y{5K zZN80d7~gg1jJnBa&c3W`qo;?X<$g=L=knalw)yVvi9>(yMZ3R0+pPS+cog${xZ%v@ zBsOX0z=dCeSEGlOd$n@uy&An~VQ4=3KngqPQvCHd(c$dM8h3JSP7Y^t?k#y2QaOda zkrlP&o?6Gg(Q8LPv1J}h^s<Mhr}1YsI##{^-TE<0%~@)&$?c@SF!W2K7Urb$Tl=5WFYI` zBpID)u&QO73*o5lrGCSUF5ZNGDw%osLb-itaF3#~tH;En!FT@ZQha|Bx^}kA;^ucE zQ2h4Y1-89djmEex|JAT71^G-kv+;AOW$cl^N>n)eU@#w_yJEy{@g zvB#5j-6#H>!oHd{VOOXAOIgMJ`31K3TaV_ID&~3UNCF$xE%EmU5ju9juL0`K7xgIW z{g(+R=BKb_|9sxsH7%B%G3xE_z2_`u2R2;3@>$VDcIWM^p{vNeqaS6!V6p%WWZNEx6AQyLB?|$1WZc9NwA1cC( zDjv(WsJFYFPlH8l;r7ppGYt}vrpJgEmH$j)_x@h-U7K7R5uOn8|FQ#)aX@??8X##N z65kJhiTh#wx=M5(OueaoxU_X$CA>e@!TTl0M7vz8qZ|;ru98XO2ihg}brpOaA)g}K z71t0%?q7rZ#rgNMxsqkk)5zzspyPi&t0X!lxxNTG{`E#R(S?xt0y_Tu(Gs1nUJQ_QUgTe&%J~tGkI*=1$P=#qbRCRu#sIpGgtH>_ z2f7aOZPq}#PN?1AdcXK_6)5Sr65o$8vL9R!n?LsplKrsoBUs{oSm#szdD9l3W(DB< z2>J3`=RNuO&gFm*pN10dg4T-7r{d@P5J}HxK38c2>D&TbL?b1Yp4 zc_K21u7kL-cPTzcgiAWE#P=gY_Ja#*Ggn2*epvVsC2>Ejb5-^vobTMH;L;XXMNY*! z$d~rcgK~Y2bwG%#JW2dO>ztpfq9r|_`CO%#LFX3WD)*Um9dK1<2wewU6~-HP7=I`s zPh?M{9}o2QF2(1F9g>bK@%_-resDo;=BhZ^4+}r^68FP8S7~P9d>8l=E^TpDb|}_C zzO;89l143LCM&bur=looiEa~~o=PJMXbZ!Bz3S2D;(l1?s_2C{-=&7((iT@~7GoXc zOMB-*xjx4_09>Uf%?Kf7X85-~Z~otWj|m`GE_{c*@jJQ3KPdBXzsO*GrVRI=ai8%Y zR$?N^%Vj#_cJADGw>j^nk$Fz!oCg1e!2_o#F<0gP`nwb1OX&V}n1zm^TRw&eq=sGpjyNs?=5nc3Bx{k1?j57W)3a>&6uP??gq;r4fd6wJM@Bf%*-LM}pW3gVLaCSd%1m?os`Hy^q z+Yh}V-RHiSkMq#~e}6KFKcT#Mfs6}&*|+?^@nJ7N{Iob;q~%8)GI|gX{O$ku_y}K# z{ZJa0bNG)x$HoUV1YcL_GI+?aF_Vn@0)_<-8yY-*BJ7zuc*?Lb!^VvW4m3TjzWs1eUPH*UqcJt{jqu*Dp9=e)N+6@GnCaJ_>H)qFn8 zEmaI{itbu?OYnZwtzE69bzK$-uJ6!l&-sXJcdM`mGu{53-5?2N$DZ!oWYI2EId|c$ zoi5a48&v5L*zf&5f~SaX#T<5zs{QI#a5^?u3PmyI`s1Xm7)FfB_p5MN4Nd7 zYSzESyoLW3*o=zInp(RvSO2d1ott~FYtAMX4ZHrf&_XnQ*}!enM;lNB)WmC8EMirc z|B0IWIf`WmZ);s}^C9H6C#34@G{o*%mDVaPQO7QwGr2tSJ%kz?ms7aZl2y93cwezz z0=x3J)U;nW7|_(w>)p=0Zpt>Ecst_N4=L;%*9i}vZAw9<{@Kc{%;ClU`2DZ$XAT)y zWsN`ER6L%5#x*(Kr0bTttat0HvlKlKv+OUtWttY6v5gg4zr+3El=|<_rl8pLX`C~Q*$FMS zJ#X403~?$pLX_396M}rQ`crcEMWVtnbp_j zOA?yy`}uCsl8Nk>m5evsbf1 z>!(!wYw?op6O-8Npypn6+HXS5@_x9HHd%OGm3N`j(jtnau%oWePd**pi=EqC8{6X0 zO4h5`)}mtutY9DRxj%I3oMUY78&lh5vkQ=C`)UR2KHbb7%(=N)nQ)XnSE2FB^@V1l zsvlF{Uim48HBOdg`HrxIKYP8nFg_5Sy7*I(9}mZ|wLi9P)P3(kwqwIRQw+liWg9JIGxp=5M&SjonD286Rh z>-8A+Mi#wOQI8ttu2sHut$5_V;?%EK4z6N_){A-cxx|?{eUnhbhkL8vpSKz1?3{ha zcZcvgGI;%*Wb`rW@WA?ATcc^pL{0IR;q0P9%=X~NE6{h{eAxZ7kFgK-&sy>E=>ini z&aL^@_RGU4lWy3I2D81ww&eiZ}wp}_{X8^bazG}-^_q= zhCK0T+QSF>PsvR{;|DxbMFkA-z@!g%Z2?EgKk(XsmbQQP>DcP1>}%sw0S zD&qIxW$f#`b*uRYZ)J}aPx{gAK{C3$do4F}rm>ZdOc{A{@OrlF-O}rJC#RrOhH^fm z+l@x5p)(_oj#Zsm{{^$@RaPSM?H#CGd!dWqI#Vt!ukIgQB7z+?BJz)(`BTv3C+9{?s~Cm4 zJb3OJn>Q92vtr(yM0CT&V=cPdSa7|ks9nZLT8&D?-zs#zU<#U$ur1#e&nQ$+J&zr9 zelLrC+l#VGCsp55WhT4FXw!{2_F}-77TmhlE3|doYGCDPAwfB?CyV;QSgSW@s z)uZLgHA6c56^`D%j;T`ebPQX#PKPvRa{^kImUl$<`;DmD=4Zp(qiyVrMx%~(YL$q3 zDU*`2Hf=+jxYe$*N3CZ^RBKZ;!;pxMZ7Ey-cC{F^aaG*OOT8DfP3qTOuZxo$|eBo6K9UH7pn|915IfN`Ez2k&H8 zXdCTVd@mkd&*}2+;uW3XdSt<>w!ORTT)~zPShX@qzYm36soVS%(i8s^(6NqJq5~`H zP_f$ES6-|=PH?@d^%*koY-Dqx^Ui#BF z;*b$avKwwkABPz;{Z6FS#jZ%Lv=@zi(xTSCFLi?Jj+tb$m!n2qGiEnDy$`99<362f zqetmQs?P6FE{R>wMgO#x(S+LuvF#81cxB$)M7HI{Esb|y*^1r5m4s^TDxU6>5seyMau&v- zHdl-z6pLoHE>yr{U<^82$q1r*5nf*`8f{S~+-}LlB5pGMJ8(+^%6j!MDE?hI!dw`O zh9-2aRd#d|nz%H83!P-Pv&-(E+|Pz1)%SWuj9UxAb?bs>bR3$zJdsU4Q|NKF`&v}S z7@ld{(6HV9zCCN|*}So>!jDXfL@WNOv$o2I-RKcltG@JZRuS~<#-#Nd(3G+xcO9va zfbvZ7o_223Huk5thVd!gqR_jVe;+LVED3G!S6}yRyP91XbUv}>oK0wO=E3(t9FLZ| ztIZixAsJOUS?f+(i&f~HaXGsoJq6dN>-D&1)a@Sk+DoYyj)#asBI_ zd*h_+D0JXrtwuZFCZU*ivsN`9vkJMd%G)LL+9veu!-fZmmr~H2%6s~^teL`=8uvld zX}X4t`%u)OlJU%u%swpNqWFet!%@-?{wo$mtVMt9I(W-pm&9h&%{_Eho=K>}#SzTW zGCNWBsW|SPKmt4OR=db;1E!VBvk0-#G-c> zO+&9{-O;zDtv=El#x6aR=zZQdCpHz@juuvm>Rw^bd=yi&&flSlDd z*KPc@WEP(fx3JkKTepd*uS1tYs)W4`N@NF?@huk>wwYa>`5kAa9&v91`k!4M&ngRi zno_LjX0}<&m#62RNJcF>+&>&~Xb0PL(6ggC+cvSTr;qO(`r84tdA7Fn_YrH@20wJ@ zUEF6Ad+_tmZ*E>ci2A3`80xCnkLHKYEKsuiW_HS{%H=erXQ0JP3u{gsOF`8J71(iV z?q2n?#}F8&`~O`%5y~R%hm{_|BWy{!C!Ynd^1PxSFI^n}`zKE9CBwdlP&4 zWcri)ZV9O10^`h%Mj28TFmBx2s0g%dz0c9iD^cvl`km4TWgSFqs_z{-U_uJpn5+*NQ1QdOIge%|{<@Q| z$-0x>qHev^mPlsTUM;{~LC~?`fw|k&8KV2TPU0rsI*FbKdj!O9jbkUf1SN$e=-7TE zdlo!&G#POxtE2*+J6PXcH}b@%>e$YC(C)$P0krdv*uNU&S;J{GF9gGjc` z!*jZ?>mfpaVLilr*Cu?{j*LUT%}-uk+f2vK=>8x%_I@&&(QW$OoIkcBJim18%e=!E zRJnZsz0u{cRcl3{6&}Vnv^sX~isOrW#UDg?UCCs&*_qI1Z(r-!>DlKw z_1#_4^z7WUDqWA{(WC9>JYVFyw3}U+d;h$mpY&|ZrTatN;*!vU>J_z(A8cbcuUouq zS_SU3M?lM22{LKhdT{P8N+{!xbu92@yD3jJbCKbI0w#=((|y0z7_?h!ZN zwR{qbNV^dSiEHB)>)FL;%lSWSu19y8Mr^GWvl|WX+^3!4te*9aE6ZJ)NkT23XI~Fk zwhg^%yR&E`uKlgwKR7>S!G09me@fU-8LQCXaqlN?DWAZuzZR2lw3Gq)=RWY_;jTos zU7$<3>ueG`Q*~+8nJaUV&^nua4ov4pOwTT={@}%=naS*+wm}0}v{%Q4yW9}30#G`Zn4lUeOsiU%e@aB{%xV2of4#P(xBP_ zc6nYSkr68-yq?`_Yxdhq%106Pth zV`nCAL)Fv$dp+v03*Fr@QtMU3!2VM8?^nTlb;xwNuEGxF5$}(h7hm;U-$U%CA{UDVxI~~%&)X$e z=oQQEe0#tpbIT#N)9W+IjhAgg%B$@P4*PRE+i-H8J z_l|c~=fmvHk{|ucl-rHoS8W&I_sbp>H*xE$eGd+@$$pFP*Pb&U)!@#Sl?v}hx2ta4 z^RVe5_MGuD$;t?XuYbj&Vuw24iwir%x=*eYdbP%8l&gNDF%fUKqjDpz6ivNwi2eE4 z;WgEpZAY~i_w9GH#1`~(BX&a`m&5Ee^~U9jaWSZN@!7k!G+Bd8Z;R_3W?Q_Tm@(^& z4m}>wqmyf&1*nwi4dP+8a#mpP&dqkCw{yEsdR1jR`|~ztOWNuqu#PaQ_h4qi`+FPN z!KMCadLj2wmaQ@RYFn=j=vkBER~Gm!W2<#^-y7QIC>vwg{p@g+XcYGMhQ5>gY)AD> z7b=giGu(5(s_q+(4!eDMoUdRMNI%_D|g^8T-Pzt%j=R&YI=yGGD<_PR%Ko2=+PY}oIWxFI#L>*5v% zt?sdt?NPT1momA$-}dA4r>Wfhz1#J`Gxu1wS7Oxs%cT?95H}+^C$ec=lsr$-vC+%V zxcQz=Vpqq;#XMcKmtF2scFdC&yV>J;^0-#&l*~>rUX~lUhjoASr%TM0-E5DywYkvS z&6+NgoZgGRpl*?#8{*mhLw>r^a+;p?|Ft%EDRnp6>YnRo?asZd_l)S09*K$UfqeTr z>D4>Xx?kIKmyq_cBa(Y}45*aMau>xbU2V4k8FFo@)ZTU9|JUA`M@Lm(ar_ApB)Foe z0Yp$h0|c^YJ-YQ?PIIyP;seUlMuK4@NI|9-1XJ1 zM#Q+x$jINmGpo^l`*>(%#z!j;n%V7-4`>!%VkY$AE%0i)H61Nzvbx?(`#d>2`C_RV zv#}*@f!EmGOS*-8IJCxiP8Xz>o8`3E`oZ65zwG9BDZyVgJid8PR{_kk%77gXB3cm2|rZkrAgC7y|@GJQR7aMgCFh|T+Z zXI0t@(jp_>L)>OX*>6(c%&xILn|%ev_NcG2Cx#t#oA!K|Be>4K^LqL#nR9m8(QA&K z{rC;H32B;}*7uV-dv3yyuCrO2?D965$8JQqy~nBR?YYB~s@7dzU_PRwJf{n)%ujQE z_+Z%7H1mRIgYu|3*r#*Em=Sc$=5nUX8nefEc9%C&JyUo`GS%?jSMaG)bMe7(6WU}S zHcPH$H~ls=!~Ek+@?T?0_M2KdijmXyka3;x>=2ocX1rB+;jL=Zb6k@znmqO^<4!2J zvV4A?IeN$}J^f~l2_GHu&;I9X%tKjWpIv(+-^4u}H$Lo2t(g)3ZuhG{xXrI0I$L*U z@NQF87Cm`l%WCt-b<5)aRJqSSJuN%$)1O_Y`PAMy)lb%#1Jfg)3TabfxAUBsDK-as zeeY^@t=5>w2dpfL%D0C!`?-0)*kaS{y;U8@9jG%w=gxfE;!MqzDRj?eV)$@u+imu=lPB$WjvY0*OTK9QP5ZT`e_MV>+GE?T56u~# zbi^$790yM|OK-XMyNWJlc1)wt12dN$HjB3Ze(kU;=_Yy2`-`tzRd)Ks#E^>X2ThA3 zsj-Jjvd#IKIn*K5_SLBR%`fHC>y5U?-Wrx~ z2Jz;|9d&l3^|gD_V7Kw?)_hWEPBgl7XK0gZd;a+KC#(nd+dq|lTie*}^6rP!*d3el z5z7+$>*xWuFTCV3?|=ICwi%~t?KKg_V^(Jt*dKa!(2C8mC9z*_DXOzQhvhnKwf`P8 zI<;$_%MA21Se>20r!^vmn2Tc{{W1LNUgLkh`$5ksMfu*5oX?e8IiLHVfA6TezTtfC z+kE*0$N2C1K7?b%0(S!y2vi_Yfj|WU75Klc0Do_5-tmS{=6!VE$(6)>wJ7<01#lT~ zIq+U!7jQ9f32-TJ9`UX8BkQvhco%R!Z~<^3@NVEez(v3tfHwm3mW^|LHvw-3-U6Ho zycIYNcpLC`;B?>&;7s5w;B4R=;9TGxz*B)^fnNoV1C9qy0GFTJ>xem-uOsGUzK)oa+X1%+ zegybY;10kYfja^7b=jQH|2S|caA)8yz+Hi#0PY6dowy18$oq2`a1Y>~z~R8XfO`W! z2^<032e>bAB=A$fPXqS@?hnit$#Uj@26zDQv%mv^2LTTT9s(Q%JQR2s@NnP}z$1Z2 z0Y3-)Jn(4XF~DPiUjTj)_$APgwd-So%*``cHTWEMNLhelPteEd3`e{U_^`IbaEo_4B(l-vw&v<&jFqbJP&w2 z@B-l1fENNU0$vQf1o(B}B;cjM%Yc)CmjkZ=UJ1Mkcs1}E;I+W(fY$?W0Nx0k0=x-$ zGw>GRRN$?^X~5fnw*#jGX8>mcX8~se=K$vd?*PsN-U+-5I3KtGxDa?Z@E+hI;Jv^u z;9}qs;8Nf+;Bw#!FU$7vEx?U{8v_Rc-wMp{HT)yXZwh=Ha5Law;O4-$1K$CBC-7as zcLU!8+yeMs;QN4E5=RYuek9k?YR7-bzkzS41M|?)lY2(ch6vY|2iJ#($I}K0*O-UX z_X%q_?&aruH0)pb`JTW0eV^roTNclO-{X7n|3jkq-j>C4!oz1dw4udw!^6kZ1{co} z446RQeK`r9zLG(@*MK;@syY6l829{yga8od_3jlx#i*GDKF14 z4oy(^?NGo}TvK|E~b|5D$JlJ*^eupAEc+T5h z@tl{l@o>BjdxVkXY&?8CNzTT@$CKo2JbXM!&c?&XljLkXd^}0c#>2;xWidCEIP^OQGA^OSd}<|*$m%~Rgtny0)YG*5X)YM%0r(mdsTPVwQC_j%1z z-qD(;ykj&^dBO;oOizB zIqw3+bKch!&v_Rrp7SnJJm+1kc+R^-@tpT{fBz)sO;SAPU8;D_yG-$%H(BwVce&y@ z?+V3p-j#~yysH$?c~>i*^RDst5uA6e;yLd+#dF^Eis!r={Cy8zpN)#=^-1yf{PALK zQarEEX2tXRY*9R~Ppaa%{#zB#^-ohg*MFPhx&GS~&w0}o&v`TaJ%7AdnTqGUS&HYp z*^1}9Ig01Jxr*n!I~31(^SnODdrRB@y!zHoFFW2>dGp8GrFdTde8uzn7bu?BzfkeK z{<{^=>%T|wy#7Us=lR;}^^RP;c+2JQdGS`UzvsnUCH|flZ%v`fFK`>EK%fGF3Ir+;s6e0sfeHjF5U4<) S0)YwyDiEkZpaTD^75Eo7#aw3q literal 0 HcmV?d00001 diff --git a/data/NIRS/sample_2.snirf b/data/NIRS/sample_2.snirf new file mode 100644 index 0000000000000000000000000000000000000000..2b17abd6a517b4368f932b7b94ad5735adac5454 GIT binary patch literal 714864 zcmeFZ2Ut`~w=LR$N-%&D%!*k-5F-NW8X^KlqDoT9C^;iZpu5dE=bUrSIp>4|DuN2; zoO8HyuGRd%o89}|``-7R_s+fd^#0u4HL32ks#b+L#~8E5IXgI3)vKc?O&a6RApBx$N)$st+2f_pz$?wVKig4H^F@lhsn$tE+y$d_7P1o;_t$v+VcF z-c?_d-K!{l(kV0i_xt}cB4yDK-?OVw&q)%#i1I8zm6(Zk~t_;YAXd{jWxTa z;W5!vE*qbn%PRgazW>wsb=H!8V3=xL{?Ep*PF<Hp$&|GV1%Sv^pG{I*mzZ>(zk zl(jZ0Br(7tAThu*AWR&`!SuN;{V_H^CNPBF%f_))*%$sN?;ibK95iH_|60{sYX8Sy zC|h4mRpYztdgaIafBY-|=lxYfR#EDERflNEq@F74A1&J9_;YRgAMc?2Px_lwuOijw zvZkhF)=}+fzE?Y_F;rQrl%R)i9E^wd7Gu z?HB(qlS$r$OxDh-T_+2x_7+y{q(79^*HzVPYh~NEgKY;ZA62=6>b8F0{p-HVe!uK~%IbUANcGFwQFcEbZLP#VRF?ky zuix=#E49DM-|SMutNzX2UbIyEo4tc*(f^yhqi87`MgP8^PNKcKs{X(3U#c#vQQj_9 zml>9~TT2F`@^;mRYFyqf-M-AEyj{9|SKOBb&HH@nn;27j|l4QTi`yVRkkf3r&++DK(D>wgDT|2HmgSM`6B z@^)4KH!W{h^?$SSc2)m3FK<`%e~a>VRsXjvZ&&qyE0w)$J~_J%ZQFsKfteb6N16iW z>g@Det<~A-+7{~U)CNm+c4|W#b$04gY4*uvf8J+D>QhxS{%WT_RWOFS36x)^*H}(r;Dl{=U?q~QPt!8tDP>Y8t#9!(?xC7^g}1QsGT}H zU9^ijJ6*J^Iy+son;N?{wO3GQr}jdfo!Z-7ot@fiug*^G?V-+2?R8LRr}p+#XQ%c$ zsz0PXvovFRO)Y+-Mz17*Ny?xZ#sl9#G*{Qw#)Y+-M{ngp2y)NqP)LvJ0 zc51JiIy<%3U5(v_+UudtPVMznXQ%cKP-mz14pe8S_6|~Kr}lcOvr~J$)!C`NWq!e* z^WBEp>#MFlwb$?O_I6g(-ofhZ)ZQWL?9|?&>g?2Be|2_hZ-6>GwKq_mo!T3u&Q9$O zR%fU7a%{k_Kl-7a6}2~1GXKTSTV$9zJGFP1Iy<#@xH>zvH(Z^a+8d$HPVJ3UXQ%d- z_t$8DY1fw8%dtDZ{%luUYHy5W{;QqZ8>`0Nj@lci&Q9%(S7)d8CaAMhdlS{!sl7?+ z?9|?5b#`iRiaI;BcZ51SwKr9ro!YB%TmRAz?Ww)#YU;PA_GYNFQ+qSj*{QuF)!C`N zS?cW6-fVStYHyA@JGED?&Q9%BsIyahm1^uAsJ)}q*{Qvw)!C`NW7OHHy<^qcslDUW z*{Qwb)!C`N6V%zMy%W{hslAib*{Qvg)!5m;nxf85?VYO5PVJqh&Q9%}uFg*FouST7 z?VYL4PVJqg&Q9%}tUrb#`j+e06qe?*espYVSgIc53e;b#`j+ zVs&PazpLImmjOWkQ2jq|TzQ#Fm;B#rT$QbpvdYrkZ`DCOVZ!hUis@fsk+MF-gp%&;{!D5Gv7{GS&KgNzp`=#`poNKS-E1lGGCE@qwMe6 z^!d;4OD!ZLz4&*yF2DczkL&+g=Fer<{nO6(`Da<(Z?Ubsoy+CFtL~a?EB{@-4|TTk z-{*Se@0rVG{Z)3~TrU4zww3=b+thuR`?u`3_?`Q|d_A`Dzw-6eeV3olpY^y-`FdO~ zUysY>ufewR^|;^5_dS<+4E}jtw(;~RZ>v(yR{ncjpKax@!M5^sxm^Al<;(ngY%Bj= zz7KV_^55rrpY^y- z`FdO~UysY>ufewR_4v1W9+jU<|EqJ3pYNaFE&E*d{^#$Px0U~H+5G#nUfF&8Y2!J` z^z@ZbHx{h*~W_P_gs`r+StqPhQD_6IdVeDwE9*df8#^q zl0u?`QdP!K(uXGY51?O?Uj6#_92yi86CdmtFB*BT9-jFO>aG z+57){eb`!4=_bn0_p$$YZ~uS%;s1Gm7>K^10d4TS$IE08|Nn2DoTk`y{~p(SO~neT z+R|tK|I~kf{4exL!nteyqn>>%VfOqoPz{jS2J96Pf2k_JagfSaRpq%6Qn?myzVyO$ zsq88hWjAlL_au{Wd4s@&OIDwp9}s-OKY^Y-`o(o(!P4QbfR zeyN^&sOpZ(m&?|Z>ZZcK=1+&pvJSsh&-b6_(N$uF__fqq^(ds`znEuL@&DsD2`AP5 z*X$laT-Sf}GFAQYW;vX`Jih-$RqyNvskN$ZmAz4w4L(cuVbbuD#fD4crmWsvRe5iu zWY1RBJDc#=dT&%^gJj7*S5?n6^RM-sRpnt>lD%yHoBsOi{W+`3!~UgI{f~O%-+#*+ z@w9o{dttcNxbW-YbUE%6H>@2Rx=n;X*iKG^Fq z)el;}&AjSeHpBBxIh$&1)WfoU{hL^{Nk+E+4QVIXR=?Mj7N2k#^Z)WhNAG~xu4aHZ4eSW^PuhX zKy(PYmiTFE0v3+r1ekJM*LU(r`8p+us=fg>(a-TnEo~4V$V}Dvstv%U>9UTy+6Lgp{73cIc-f-CnkUYdf(h!MylnLC zz7mD5Z7<&q?t+CT2cK-n$-tX6r~6oYr$Eng;0^ye_XYXd@3N-T(_vqsp8c#=5$IQV zWP5J&Y;3C0y4vG{B#7fA+7-5Twd<|g9Siro3T~fG6xdX=ht0IcN<3ayZC~xpNq7;x z_}SD|ZtyO8W;6V1BFqg(u3M6#iL@WZtB)Lx!^qR4v;u}GaB`;e@;Pq#!u*tl%bVPj zBQd>K(9V8AIQgb}+h(CYIIG=t!GMM`R7m*n<?{mgru#%t_17|$CixQkB?m&gwIb$Ts(S2fw@I9 z#*Er3N8teHuf6ULMc+Crl00u_p`=pA$Xfe@v2cy;gVoLDcyg@B`#^^%JnK>O#-4WG z*sAq-VoNOr&J3$Rpx^v392=->;v~qix$l=%Ba4fLgMKGd0`v7@oAhu;7ne+o9&m74 zYQ7uh`|QrI>E%RgcvJ5C0`ilTpy-X4OIy3n+)z>el#WG)mHpHaitZ zW8*i!s8hf4g*U@W$98NHhha~a+zZt8!5EWUmp>nk$I$Ncw+$N>ikJge{npgBLF@UK z`&TLr#Oo=a*Uy@qfQ|Khf)9L4M*gX&4%yE_ar^$3b9Gh;IOAwKq~LWZl07?izwuLs zH7|#H508k(@8(90myXSbX~F36aldkfVJ~-Ao|KV|5rO#=md*CZgLe&cW9&R2wezEJ zAuP4QokMnbZJNCLYN|FaKHWa|=C6@(S5QMrET!jW7>eQUdixLc9gNt^V{?n|6$tkX z*57zBEd&|*bLyqMbHS+rA$N_}r{d=IYFU>qq+;=qRu>FjyPzm}*}ls(U&P^=?SX>6 zhi^SPl7`3O=AY)!e9>J~vCX$?POx|}e9RH!IBef_*m>BA2ps-&aXJj-u+Vk&xR75W zFjx>*$IYaN*PQ>ngG&&Wc-L6En&ykxKb2%y($G<7O0fehXj$5kY>48?u|98%mDsdmz3y^H zYxK_TI3wnCJd(Jfh=BVJZJ(S*g~BZJgBN;k4M%^T_xXcx&tmG*y+;)|>TBA)?P)nW zd<|Vt_wi6{9$p+b{zeuWd#<~sbu<|B7H>UyqJ%4N2Rx2(?fAjNh@4q8#weG*EH>IAT&N*TW7u` z0daM!-rJ;;0xjMEzJyBa=vhH(mu?u|Co8YZYib~IZkskoXGWvJulXC@W@ckY!2zLo zL$0toZ|dGNR1UJ}R`KXoe;m+jC9E6ffyMjZc`qLGQJ`J4QJj7kES~!@u;m(UJP4%$ z)+GxI2Q1mJ>5C<3_c(sQG!$VYJ8J7p9*jL(c)=+UMl^YUw&AJ}Y^3E)-p~~6sJLRft;YLA7zwBE?5d!JdPCDg zdp(W=t$w;$F$x$@+U}f(61U?mX=$=Xtywp8huw}xt?m2s5|%_@;=T zEboP*Sxfq*W?n$JVT(O?>ADvzHdSh>fKg*w>FWFA3*FBVy=;8GNE@_v2nM^}Z5KxK z;JDknXZ5B=VPiQFja+ogS0d!YzSW7e2)&QkO zs#mbzOJ)N&bwbIWGSQuV!#j4=EOn8Ya3XV{tk!v=%s<{o>=R zrZJEY^gsJdBL=;@@0ruVu|U}IEMeCy$2i3E`q#<_C!c?-c;HbywymlEYyQGeOj~fj zQbvCpxWByqcCJAXUeR{pek1{k8lksGnx-J6)7hp?s)eEP3A5s}GN6<9iU!Lq!leDY zng;au)s8-TL)zE0SJC?TLTs04Rk=>XYZ}?S(v=jvv{&W8|ioLLc#9j&@+QUvw?Qz0-?pbrcdXe z3_+52-^gyAT*dZ=-%W)xuM>f37~e4Hl}~e5BwM>AIoFCuBkg7vci!?qa=XsGi@&A8 zuddnYuRQ}GZiDtt@G8*=@faG1X49X97+FLj_~PI`&Vh1h-nc}9m>ld)jkXzp4`G74gA?sj?W2C5pKl9u9!P6Vu=4KVY6}fUNxy%&3mi^$&YH14 z1J5!`BU}vn1?lcYn?|8!gdK zz1)EO?lb%MPMV^?Y~3R_t}M7I_$<~=X_YDu?xwzos<+K#iCl*C zrN*_k+xL|Gyt+pC5_>Lg%{ZmFUJRdWjT(n02JZV3j|Sv-+P;dA_SYA8gqE$}W^b<( zfq-O}1}1@Cm=<6h^WcX9Jsx*V?iHv&g;{T3w}(GMXkNW)nT@cYB{_9sI|;n^dI(2RKO%AxWU)2VWK~pGDnW~1FX!}85RpudEXdfAnl7s zGr_mBrK3AUH{`h=bZFPxU~Z1aaZ^_57wLh${-M#yIO06)!oHOj2&ZjsvRe#zIGt-8 zgSx@fr|sBUAn>}~&_51YOXBXs-Un-@%|7q@IUY~x`CZu*3hR6CPw2$ipqWN^_^l>E zXt;mr;fJ{iNIH8dR?9pE(JM3#R;(8W+6|_x`YoV?S$E#SH^Z1Mj$iR>iZoO5&vFOYzI{mRDQE?@q(Rs}wj^ z3_wcZs7JOGztpMm*(*&q4m}bUIr^kT;?&7UrFG`Xv3=2NiZ~t!qW`qb7+X6p{5pXA zeh>CPQU`!m*WB-E0ce^<4#Wmq2%D=Km)Cq zXN_)0EAWx$_vixQ4c*7hUvj*quw{BwkTmWm`QRxpbFF3QdoRDJOOXSbp`V5C1Vf~G zOw%jw1wd2U2 zAUH#3W3F)S*}yC3qO)=7BE97PSYmCw&Z@BovUTt5U(n*CaO3UVobyZVr1)@=HVkMT zta@=I_TOFB^6DH*jO94%dx+@A#?pMD)ycA+PJzI?Q&Cn3cCy=C;DV03A~&^}n+ozG zcDLM>3eUu*bAI1&0WU){3gdA2Sk2}hDIQ?Ax!Tq=_-;G$VsWJa%w1bt=jJa*ob<`i z%dQp&@(NqrJ{JMnMZ3gTl0(;IO#37AONHiV7UdqhZ3J@fDou)%hjGFT2~H@>C-6#0}UziF-XCdW)BpLFWnay zu9-D39UmeGW^R5N4vuQf>u1Ak(1<^~FfGBplQ8HZ7iUa1a`PRphkTu0Z%F zm|Ja=qbU1|ev=zRaYWuB$ZcO1mTD4!v^f~coAc~j)RJTJQ{6sYETfRe$au=j%3#F95yf$XVde}E3dgp>s&uS zRMEEIp8eGf1w~!*8l~ugO1gfU$*`(=!s+CV);Rrjf$P}o(Rigpf$YL)Fw7LTBVU-_ zxZTD;?Kr%n<>SR;Z|r5ihvrMS9Zk{CKNL@I%)0Wfij5dodc6;n_Voz~Fl9gHRWgbg zpnDjKt9xTjo30SR!{9c>|6gyn@1tp?f%;n83l8**Mz?@*+C~Z4Qhe4XS4dmmBYJdZ zHlp1^6@4f9BgTn53v&-Vk{zqp_16bsT}VXcw3~LAlhA6jS-LhD*0C-g2^j|fQ!Vk* zi58UKA<}s2G8ix46wr>7FAS%+c)mOYeVSgo(DIiH-f zKbhP*`);Me*hQ@phm;y&raZdMI*Rvi5w6hhswZ4yw=J*q)*oGNcMi00w1qNQ!*Fj$ z6LI|X->O97r3VY5Ds>T`??kH%FdXSvDMj)VeD4eS17EbUb4^F=a{{r2N7T)xWz z@Ezea<1X96QRJvKqH@U~=+h6y99JMQDDAlWBe~??eIJVF1F!UoDab;SHX$WfgYkAh z1xz##ifLF|`$XZ}JIxm>dU}g^$&$7TWGLG7UA-v`PppOx0mV7*yX>`#*i$6rGSFGu z0J>2&b4o^MVrKY~$!9*fVc(B29}36#!TkGXonJN0afAcSoq8BY^EtbDGQ`JP%L1?I z=|1@xjoT?b-yGQ+4R7*O!(QGHR<3%NT)~X?W$s5UAKVY@S#|Zbc*InVoaHYM#Sg|; zZEf&8fdF6QAXIz*u%g$71hnfKFm4RR`{I775r*%!giw_T(mGHh3tQmYE@2LvU+%%N^b8 zxq@M>3s+LXVd>egy zA_1{ABe0M01Z0C|;q|Sbl8{(X<6ZY@u4uB%;&JYySe)uQyW0nAT5oxo>ZC-h&VcYw zN0ZQMNB8EnX!D*m7y4y?{ZecIjZErNP+O=+1(P4ouc^H zHDZ3sh6q$)oMZ1D;Zy$6fx6$rQH>shcS|okbRdN1g#wI&F0@fVkKBqi&HPby^7KJ1 z^s_N~3eE6(Ay}My>|2(L9Pf68&91N_3X_}Umw2RkgJ6Qu%5VifE&Oo!?X58AJbLo> zK(ZX2X2k5?*Y>U;!pa>C5Wo*;QzjOivo5?-#~qap1Qaem?T4$xrc|kHj;jHO56Zsl z!NhREln94pRG;+9G>FuX2Vqq&LYmGcfZ?WLEmKgL_ce-NMEtE1 zKO){n3|k z#^oL`CHS*{H1RJfSqBIGw1X|IoTfC?!QS;R4m5VlLhEXTh!OwdGn$^9W++-W@6@p1 z%V6*}^nLS9f#GZSyVTFS3N1Tybp^ZI1M*X){jhHu?iErb-qaO~FRj0lXB>}9UL6)K zy5|8AS9_C&RuzketZ~~0+ z@TJb0Qy1jOCmKYVcM3|WGmZ!X#j$R+yjeqDKfktyzoOvCPE%|rNl2K{+>E%y%x`OEv zo9c1sOE=IWSb;g@ry2Px;X**g!-q-uJz|T`ykBmZxNub0mu-?H+^M6Mw7xcv2akfg zQxzbVLjTp}d_ly?S}AZSCgbJ2SwZOH@#Ns?&c1j{ZrQHAGQ8hl1FIfAv1IE>t@DmX zSP(xdC3S>S6*pL8Ql&R0&a~e4xzu1-#k!H8Xn{Pz+k(RiyRnO`Be2%*{$R^tUbq{X z5cKW40#69PALOZ!_AiR}ClI`Mi+HAo3n)_S6M|9mc4w^`Acxg(>XBVhSj+ed%@;ia z5_Jh5>qj)e>B2BLT|U0}Q)@Y%i9l(w5Xt`2dwsnAMIGRm3G!mv#pk-A|ErXidc*v% zy^m*1)r)4JSY+b_Up;gq-e?#3W5;si&n23ANj0dd(H?Mny;xxs#x1V$d53hmEf>4DPhVjI|FbsX;WwNv%zYG=q z@<($8yvrp*pePiTyI1QycbyCjL-@9ehWR?ftI8qSSi^v9?lr-z{>I-4-q|=egI3aT ze{fh;Xy}1%7vA4{)%v4AC`x$0AUlc2$<&tO_3efBuT<=2D*aj=sgc(5n^}OrC${V z&QlbUR7(kBJ2G0VNWvy2nr6GZ6|!RNZ8+6 z84nBQ>zYP@;VVT>k+7L~*0AH@*lJG*{gpvTC&I4RI^tg%5z#_CuNWsBABs`C7xsC3 zDhoZCzt|oO^5TviX+nGu)7Z_UPgF)4XhNRW%^ciV z^3%C`?P6gb$Bpy#!8FCE)|qHKlmLg_ZV-8Y3qSN@fcOFN`{#Ls)5FY9m4?p!l_Wi< z6&A4QQSW)l)fiOgjXIL}b_&bt)W{P8tRsDA+QuQh?M%a$BYY&>Je}}!#?c3aN;pAD zXEd*EQ#qaDKbmAV(aRI?si(c~W$hH~onF6g&c{#*@0%w`JYRk&$XleXSSI;n9ilPt zR!YyU?kYU&Y_72Lq2KuD{j*WG4IwL0{utQ&hr3YS15avAJyiVjgFx(u#}lO;epTZQ zNgE#ZGXnCoSUCmoZ=J=-6GJ%fjBzV10#!t1&f2rG}@w4XXY1m0^qUb3s> z3NbzlNfrG?9pWu(e%g6r=n)sN4#4gs@%v1elCTy#(?F=RcC#OJKXkuuDm%fR z0O2fs;wkKi@zRRK%Cpu3!4BnSI z+Ty7>MLrfLqCfs>qY~aV_gs_h?t=F5CZ9U|%0Q$)joiXy81Q(=zb6pN@OENEIvR|k z6=7lo9?~}Cbtg;YOS6v?E=({+4Nq4Q=WPEx7CVPjd03%|0v*^PZ%2Fx!;l-2FfEjr z=J{^W=Wg7R2toz*oUfB^2x9XueZQc<-F9m(1m5l>jf0GM+~oC(=DEb{ z-WJ4lcyBmz*rBiFg+tR)AGi>X&HK*a&2qS}3f13vaHxpyPI;Jxz9&dna3EOpbDI-B zwwLhUyG^6emgvg8R^G_BsT90LS0VC|?H+}R&$;AO4ldF%5qhXtn8^-pq`vr^4>Zk0 z2I(}e9dSc!N`CYKOFz^;KQ7t$of)21qXrIE?Jpma(3Axi=9UoYmPWB)KS-Gr4PK4& z9_I^RCT;23zIGfKX1{9fEBd8vedD1$FZe-g?@$m+pDCmHvX0`&i}peIP*{-j{&WIr zuwzj(MT%EsVQAQgkY>`u?Bso{Fci8BCto0bU-&+)@rY>rNbC~o-!vPUFXs_7ohuYS zvw8ZnXSNh?XGplaWo-`-YEXGDJ_--@UdLBIVh7ov?LkehYGdQtV;!nA%Yx>?iZzUm zSYk25xinvh2KqH?$zV{}SVN!qN-vw8XOqeAUBdWExGO4E{b}guk_tjIoW>Im(~IDB zqZ2OT{@aoGm#O^+e{H>w;(gvozNX>g&Y$My-~2I{)DPR+IDuHdh zWnI?8FoYJs6AyE+nEi`EMZ$=kaVLEa>N73+`G9^V40vEXaRY$?gNHf#VYn+x2K_nG(KR3Ho(bEk?m`5Oe2l}wuJ z3mV<+T1Uo#E~Yzc{!tjf_$uLJV!t=nK@{U?!?JKn>-=iJMs4t!V8~#?lSTO8%3v^lFd?!) z;OH`zcrK3r(nq2P6U ziSV)W8xpFVb$0?Sx^uU5j+6M%^O2ZC1k8#PIf%K=8-J-_$}+MB#;8b+i0u&a)AESu zsXhQKyP94l08H~~X4}GF+>lH}yjgah_Lrj-qKhVVh2qrxi){{NqA7*3*|h$=3}&HT ziNLUvBh8o58>2riJQgYH0EI_cShjH3pk=?4AcoP|uE-%RF~;D+i%JZU^mgb0HxH1T`t$nUnl;y_XP!jdoYfBCbg$Jgnr*eQo2 z1I$iAn9n##fDfXGE_xU!!~R~h(KPIdMB08zs~Lgm4VM@ty1xy&ICzCMh;=$WXiGfK zEPwhU_)dg`JD^D5@$zCyIJQlp1uEAITjPgKi@K>m>YNE*stF2+yl(@4Fg~BtIvdNg z;I(;uriuG#1gD{}Xf9)1vp@{Re}iR)iAr8c@8a-Y5I$Vd>Y&?JAm zC7hYqJ{AHJF%^z77>t=qJijM)$rtK1+j6^89bZxVSgEz-reUCe@-flpG$5&10#Xkw zFj%O>M`g1HuGPANb_p68nV?;8<67dgT8To5`{H_Re>4px>$kriKQt0gIgXu^h0g@D zEILenHsh-OTydq>>$-P8#p37-BItT5px}meQ-ai2n~q*clH&A8;3aE4S8-ZFjEVIb>d1}NI@(SdMvQO@?#SJEY% zG(%M;U{xDOTd+6QaTL)##&n0`qeXj>k&8VM||#d=<@? z`xG`#?h%SrhltQS(HTS!RjAoE2;wl=odA|ESn8&Tc=>CSFo`FfEr{z_&e2dQo=TLV z3KRL-(MTjbz2f~WDc;M>6}Z0_kbkzHwx^I_f3%$K>r?fBJ7SyJb<%wML13D+^He)g zm-i)38%%Q*?;D8)>~N2>lyFz_$4*HI{I*Ygk2gs2yp7Kb&1 z&bM>8BnP_(QzG&NaymYqikD0J&<}w)V@R}^_CU~>pb}$s9f9byJE5|REdA*6mK@Q*@y~TFbxFg3) znzmY}!f?2lgyFMt5SGV^*&<>5!`TCSG}Z^xcC(&jfL4#Gc`MvNvbqg6I(~>sAP=76 z7ZJbk)PrknLXwJ-!0_y=nwEG*I{)c3U;6$$xXxKldP@q2`(G;%?z3L`Tr3DZiCU}a zi&j_3;q{4^^dRn`IM9Lu+E<;Wb(!LqT_?x`Kb0Wv>vig+pnzmd7UYi^kX)zR9swdx zbTbqb#_l|ESBCDN(mtOdd@Pn^yz@-5p+RorsVUb4kxz5XMq7LGG!y+nL6&p-7w%|! z*l@>?Dj$Vv%X(jGaMlhNDURM)q>X0eaGm%%5~oaQCtqd>xi1N2@B=RyP%*(Jm zc8w<{Cy^qxz#kOF=Zu)L%nV8RlqX)^j zAqr*h3nDLhGYz7wt9m3pdwsh)YEzc9{+&yL|Fg&adiuDcg@TkBT5-@NH{(=a!i8y_ z9!mO0_V2qtOTunSlX$hs4ZGj}yzymUB1jds{Ar{n9KOALj$Lt>e6dNEm4*T=htO=v7wFkjv_0O-DikQ$b#xNy2tM52VXe?jR|Q}Mqv&Uqm#Tr?B$6`oe76#{P|v(w0`I2U<&JHw-k%KqVl>v z2xY7pXO=19yBCSK-A^%%iy!9Q%M76u6!p9}j2dY&F|Qh0Wt{b^>%*q}p} zQat)C1Wd=-4jx4bs7Ew7o0o$5>t+-~^Td?{SF(%hVP}L?Y9+L3@L}IS|t;CX@<` zn+|UOwYf2log&9SPL6g2Gn&2fM9%pypKBWhNO=xPwy@bpLY`O?kj!D`rOQfu?X}D0 zjBi&-=e0HyDPJPCJ2p*0KT+saB3N-6M#pq8O%SOa2^!u<_mOUwb$&-HBuhNoBv&YN z9v7dWe1k^pPbMqys6}44qI9LSuNWjFi}e<_-C#nAPu<=oLhRRVnv#D_`edu%qz!9` z=PcUF5n{ezK#rf{j9khWu?xZ_noe(mec<|_S8hi`8T{f2NvqWpMzpFuY-%K~mz!vQ zP9OBR*3^F1VAv^lTRi-Te(F0p0-V-R^G2ayPw64HyTdVzC-@>S(C)KK`GVpX>faQa z=i+){6_?m~uhgp3>{Xp3}e(^8NAf_?w(?g>f#87=p zLUYzhuD1ZGB5TZS91H#Y-!>Q5N24Y?2JZ@lW%(Um@7*5@YfiTs;{zThKdHSU&O`hQ z%lwnxbe8f=YEk^h!jF9kl0Kzw3Ro6YY8r-xCu!lIDuC21BV$g}JmdBqkwJs#@~b6L zc+nx(eIM;F%SB<-b)oZ@ctH_rm<)nh)q~GbOVxGjw ztuCPKrzIQi(E7^zK)i>zU#vNo2BuG(v;!pFTootL|J3{t3x=65&Wl9uN~1(OnH(}P zQQ?6g@*Ja$F{RUFuM0VHkQo2nC4&Lr^r@X@0U)<3$vVasEI0KDHW77>v0Ie*7NC4H zY(^J&I8Y`N@o8&Fk35+45_4F$W_Di)q(7IQPm^>!QzFolWNEWaX&en929DyAha+jA z1d&c*IS~)HV#Viv*-nAw^gO@xQi8&+TIchUaDde9+7ndk>Vib6y{4LCTsS#74li>C z`a4s+FXEer3xpVw*(H!aCVuZ^AT*h{kM~CJxwKQ~{}LK;hfQ)oOkZL|8ySjv_VoP< z$)CT|37n=9mlTh~WBN?Cn;nk6Jl|*C7R0=;{^7_KXl1!N2s{i6RuDcxyY$-(IrLbb zHFqdxkP5iP`YgQs_-e}MrNJ2Q-DdQ=hH~trF!fR6C_Ldn!qQvhbxz!tOM1%8F#IN6 z_legzuwuR|>8>E^Qrz{y)A&$nhKNtSAY7f~#D&%KeIe3ZOU)#HSX&R#wBb*?k%WMs zOHO2bZ4Dk)Z}!IEm`#)3=_%2Y|5d9%sIqlR|Dsc|qMk3J7wP$FTd8?C9)yzLbP{O3 zFx*Cb<<;55puY;lG-4aaQ2vV;M^n5n;w{EuQaq*zWyLppyK8cci3`Z_xpp;gYy^SNuSK?RHQaq zoA>K|Y{E!fdqRMDZ%brzTHLu1a2S4q^bNC`vqz9Gi2CnlAqel-^wqX6E(j;V&!?zzbDc0oeCgj-GxM?VA3Si3D~-g;itkmk#Dc6?3`f&n4D zVM`TYmBfThIcgCP{BibB+~UOHF$kSvD8}yis<}6PQl9(m4ba zF4cCc<|^s)=cS4~@$ajtQl16nDIaY7B6INIypTu48f|r2OZPIbing*5y*cj`D$1W~@oZjwW-{c49m;(gX%&pB<9R-LD{BpZ}fk5(@p~b6Jx}MvCl1~1b zH^i{=;ctP|s&jtdalilu{;~}r$kz2+_);P1a$j_k{OZy1P}HOZn!<1?uiddwFp-tk z?jR3GOOCfb4g#kSbvvLCd5#B{<&wU!XebPtD4iCp&XRDSE5uild$qS6>64k~ag0JN z>jiwhG4H_asV>CNin^6`VUoV5y&?_SE#i@`GQx$)L0$hZVjSc*Qi~qZrKQg?LIdNVZ2IO}^+Ct#25IuB=B6 z@ey^N*-zrZv~?=w?{gkvrDismKys2FCPCOtFqQR%1PmY|{kTmEczGDtISl7X&NjDL zko02|zxYtP*5;}jlAq@gjl-0t7en#Ad;gt;kY5wtbfyT1^7lF4{91}X*d3hK!~>O> zmm5ra{ymg|eAQ0UhvsQZxcT>y7)WW}yRs}Lp6h)GL>;p;;bV-$)y@+{UV8||FVSs= zPi*Zf`b8bKrD89iS5P@k(mm->9vT1rCFSK4KT~0k2Si=Kt2FSj0(YASNH{8-z%))> z#NjrdV_+HymO(x3ME(IM#(XOkME~=;k(7r$NzSZL(gxDQu#8?ox|*;67rP%Jwn!xz z*Bf&au#7(Gpb`r?|2V4)j*nh5sJB6;=!ZA_nv4mncg#5Ec2D5pl}P!>N111jiokWs zd!9Uq^h2IBP@gAB`DSUZAXS25MIrgw288I64yzdnCwfOHLF$K18t;-My)NZflA3*J z_|rsC_PTD=KGIvV<9CVpN^+-fbyMJ2Ni0b(^99i@I7|2#C+unlA%p`~8y~#kbO~J< zD7#>HAjSJyFIIRAI&3KNl#d!KQHKfn+SbruAZL9%Do|QT1>*OWVj@7HK&qwZZl}Vb z&qD1^UYNp(A$bb0+CNKQA>mk-TxGGv$l%HlT>Yjt|Q! zKO5r>n}uKV>J22lCG)@+!Z3p!FMm0@8?wTZ^p@-g=IKki$COM-heCOCq{55(7UL)4 zPqp8g!RV^P%{Qb^4x)68JmM?!8HcsDfWU%{(inUvc-~}Qw1m^P%@+pBi7+GnnzK2y z2Ks>AlcV?J@!=;04xXXl^q$WKHWKcm6(r(&n-3&_b*!09QZSGOK8?b_X_eO|2@*bc ziSV)Zq)56VgRc`YkGE)DV7+X!Y;g>I5Fg)yXZ$&KmI{r z8KRf9orDM1(iZg}(?dt1fX@pcyiYvu;&ce;bdHa&R{4QMsU%>|6If36oba&~oQOfV z@taXJ!blHO?XcB6Gv`z>pW^W}7w|G-w>D0~CmcN_-N(8#Ea*&u`AvUVGJpBXQS!U) z#Y%Av@gPh$6_J0>D(XqsN`;0;=;V-Y#^AK3O|&jEO!2n%04a}v<{hbgV$9NPahnf< z7+@k^uk@%AZ8{VTUpb(QgoDz2iQoe+ekJ3TJtwB!7dS0pW_CK*O$qdhKpW<}NI%4~ zB{Smp#rBhafy~c)9wmQ_5?M59+;636Iia6Y(lO;Gp$ZGN#<_v$t47t9C4$oouE%PE zer07wWE_a4Kk|ZfC87P9i7gOVM=_DwSAlq#mx}|X^EW7dSri09I)4dbycFgj<;C5v zA?Z2hE6|yRJbOEVWwM(nez9lyh*!ACe{U?I{iXCrzm~z_I6~`Yo76#KK7^e3ea`pz z?jT1j2cEt|MgQNEaGkL{9s`20k%UsYT5?S1Jl|81*uswPZ!b}|t$&d6060zz3xg*C zVS|3=Nc)#fvB2%`|#zD7IK^h4iu!bJS#aD*WFt;D}Pr1Z1kEi&|ENB?pZ z7JAtkdFc%mryOl4klt=ImP=F=Di9V ziTQ8({5+^j`IUT*2gNUju4NvD2<8| zRX8OBh9ppWG>h;o&U1CXFD#;M`;uci*sVFO8zJh}w-Ihc*)~BnrzD|&ASpaZXD#vt zqhjGrGV6;!>HLR{ z(uF@!-o{x^&fUUxOVo7bDQB zQF_Ro@-KLUN%BN{K5%C_;eM=NHn5fQK^7W|`1jW!B|e{_guj_~c)-GeX&G>&19{pm zP6i)SQghFJfoZVeDd`aNv-Bb`c)+K@ZkB|P3?kve64FtU>SKwes}%Q7jzvE65mkw= zobxSphK*8;>ksWo!j8E#5>nm3r%~Kpl8DVWhmtaf;ulV{$&P~vC)H3$Jj#cBLGl|{w3=3OhDks=2i@`l( zVxUQ%%x+ffxdMUD>6t$y4ix4GtnTT9DaSvyyz@35TUdAP8!Db>qorpf>Iq%7gK(G7 z&hAGOuqQC<)}c-*693UE49tE`J1B^{_Nt^GV_3D*XBpbjDJq?;qcM_r3s-y6(TNA0 zT^CLf4p$JIjS76A)nI?{veAIzml9$plN)^$I`p9vC5}@*GT+A`ZRvcMha>S_j}$CH zmgq?C%&JF(kIkn+PZEp3Z^uK~L$Ngc5)7F)?2T*ot`p>#iG1&t;Jkl-^RoO}h(b7F!?wbUFi+)%_}z z;(d|FIdM;PpIaBDgXt+UOE(uL8Nn>Ksv1F zjp`H~qxr}(hX!{D7vMzet#pnM-SGE63f$0ZJDG;gvv%33YrV9^vV4LDYvoC4DjrQz?I+RAHknswhFHM!l%C~DL0uxvsW#Pb1; z2ZPl+>6F(}i4)_^qA;G<&w<{OzhXu4&o&BZj)WoV@%MGx2$!}O6Y}l~q7F>g0DPRs z=uw%Xe-i!14V(sJ672_4tC)uym`nL08|SLB`BMuei2!$4CTFq}WGUJ&>=mVQ?fK=jFa z|1K%uWBYWPg`poO8to)K3=3$UhN8>y;m0QYqGL%3HmX#W@{u_or&Bi0Po6~3+jXHU z5f$-5w$z`U{ZZeP5~3cu<1~fUJ##(?9)7f-_OcUslPr5}a5}XtWu$a2Kvhc#Z(JAx zhGk9f_<`xDOOx^hO15}h92o*W&gDX?3yk?-K(AC$2Xe1NIby&G$=Vi^N_!kZ(Hanu0K<6#)8vW3%W*%epTKCIVOJTe=)7?17SQ1C*B!J zc?D|;m*rzbv60VlZ2MOBd z3F3St-gUJDo%Av-5b*;jv0&#F|JitQ_l(oEmJL!k`*s=XO ztwp^=#U?SL4&m6qXfaP{-p~R;JTD-I^!yA=lRw72)}}BXOm}u|N%MshbdPq1s4Kid z@gJXeK=F&H&o)Yt^31-4B8StB!UXv9fg=>ZFr8~RkMhMh5AuHyb>8tk-`)F{7$K;T zM9tbeF)Jm(>!=u|WDztGC#Z?uT<7P|`}{p{>`Cm`9G@Rf-LM{c)-*`>x6{B=V}T$U z`F(%v8_e1?&QE= z!e>oH7ahGPpL%hSZlepG;vnLvBpS*_p|7K8a^qL=o!m-|GN7@on_@OiKeqsIb zv!PC!>$Qz1c9-N#i6f2!q(RSRo>brTMB-~@VV3~$HN9Jwr2Ac$2;!K{R~H8mC=(%V zO2c&TxiVROd+?8a$Uf4l2!i~V`6R*U{`q`_p7#%HP%axV;7{(=s_vm`RJ}J9IZEa!gai@G z8DE8$m|eVY%nnz*X_E)B4d9RI>BRn}`>E;FnFl`nea1j7`YMqsK7oPC(}$X4oszT( z{4oYfoefdn@}m*N(?sE`1l1ppMH4V2A;0y&J{j?fEZf^ga_Gi^swSP9*Km?W@5L5h z)$g{15M!A>Y2d0kPYZki@HgE;epmd+L)|oA?UqF=a6C5LnWjF8Y2}9XH``m8nmclg zrgZ=e)EWRkH*#6G)}~SggE`uI5t*I-dkCcPk5Vuc`V2vVO!p-H9{(LhPz!NTT+>|LsVHg&`)2Q%e)^tV zoGcy1dXOat)whIh`Tj-xa4dxe2_Q8M)tSM0}*fP?w?XbkmXFiZn~`ME5- z4=!e7mq9oFPQFo^llNUI>vsZdIQcIxrjHg zqQ>mYniwZ}+C5&#Wiv0a*G0oR)bofuJ?H&G2xbwtoA3A#;@~hmRtk6Fzn|PxM?Pvp zjTm(JcMfH;@p?>8)y-#z6Vi_M?)!s?@fzcM7aPg{1@>YH?${qp zSKh-756zRDO4Rc>$47VrKf@2qdnA{K*lRJs4f#qQKL)o>R6l2p7~GxS}#o?lL-zc`l;Kfipp^W8%m^MVbNoWOr4i!>H~!|Ndhm#NT7Y>z@L(Ltz2#}Kk$vj6MCDbb2N0&9 z-k&%m(-Fk3+Ga$kU$N^z%~QTHg^+^1nshmt#INCn{7dl8mV0|fs$Z?hD8~W&GO>r( zw9@??`~;knbswKc|K1#(7E|kjIn;mWcng01l6&pH4?wE>m1o~n( z?8k&_);*ox=Ae46hx#qoB$7RY)cW}dziZ%<3}X597u?4rr&>5dcu@l`CJdO~AcpkU@+{3IHJ+|~w>NGX!F`2h5!(>bK8cp|=aY;)+JJ+0OwBafd8)-TyLeCK zzno5>+mJWhgYxMr;>Kt43v@n%uIbN4(UV@nLGKS9>@MWWK0_W^^s^g@#IM)&(EV8U zyj=u-GUoUPpCbRl1JL#`?K$x`+L6nVNT;dww7}TMc0kw1y?pAj)VT< z41Y50I%6=$N#5<*B)#W@*Y^PjO@`Zw&!Gf+lXjt@`Sy&EIdS7p12pf9eTi_emtvpHehc_5U)6x1`ycLO?6d#C zD1Q@v%m3r`3IE(Kju76R6YQF&xr)^n40EjSKz|WGNskZ$<>qXir{1)Q`2`h~Mq*{r z@WWuuGQNimA&vB(|MDE+AtXL?CgDU)2q#{z7EKKz#xmADR%Cch7q}r@by++Y?6)43 zkS-j?DMK;8@SrryLwz2fW1ou0<3t}H)n^uD5b$t!`yT=ijSXc*Bd9L}S~0)KYw|`k z@%Wq2&!XI_$_m5yolTw&1X2D;cOQ#zf&ZE5ONepY&i@j*QJ(XE8>s%(S&qc(>K$nX z1QjIv_;@#(1Ur(0eU^Oh&VLX8m;fNk4co}mZ)Z}C#+ zU-&xZ6X$JG-@$&2=g3ft=0hUG=owrSA8+tiec|wH^J^anZprQx%D$y~_QEaw92_y` z1HZ=nf@|%Qp}mr584G;(aQ_kzd8rYd{3-loe4n1=M{W?B`_IiMj_G$A48HEmdzY5r zd8y4@!+N>IbcClaQz;O|6PGc+$h~7}jPiHxO(eJtms=mOP#M2|KaV6&>{lnhZ=v)2 zVx3fGIx}GNbR&6hKNy#-`qCaRng4!l99W${>aH9EFYx)fK;mku=98y7Q3PTi=g-E` zY6iXJ#YxW3bJk_UGTn#M6Lo($B0%QKlh={c<^7l|c;g(uzA!-eB{O~vBgv7%Zz=rN zR?~@9&-yhY)ju)=`()rI@(Ux#6ZZF^IA6r?)Gm&i<8zxmB#(|TZ_xds>4lhA?+M^t zu&rbWbP5g-)d81Pa(tCW@;PhWs`o24GDrXR4fbO!5c~(;4bKlzcrGe%!LtNOZhTA| z@CcZz_+>a1azJ<~o(ljD_rafR4}I|o&Y2nDN>@VnmpsshM5?h6x!ln{R0DtIt;(P^ zKY@$@y%MKW;hB3Q=x_*tAn+%1{B~SrwE9tpTeKJBL51Oc;V+>M#IdN3A6Tdz`y-b4 zs(y@fit7{_HFYKaW1j!eQT;6014`LQTK!vk!t`>(eHmLH zA-~4he79)PldfVv!Z!Fg(NQjg7zT zbC%wO-o?g}Zz8E741E(Yzg%bD+mtf%7QSU4{Mm^3cJH2*O`Ph#d&x`l_2UBdd)~2! zd@t*@hyDVv;;p|^=_TvuwHFp@*4>7+;Ec8_k`i*mUQ{(6e zuqFL`(DwpAGy>e_AHGK=g4fT%l+X~8-2EW%`8iK=r_%5_I`+C7ExFS6)48QK1baZh z%||(O7xCCpLwXX@)9#l)3@3bgvv-~fBH^?778|x*xI@Qm&xQwZlE;2t`sev|>4Y?R z|7FNo{vRin?@j;x2rf=Ez$}?QgxF*Q%f1Zxc~5&3qTkz^BT4YI4vECC4evHFgm35b z;BbrjelArQ$@i^ka}3OZKY0+&)6(?` zlng=gw|@G)e-Mnm48C6>SLVz7!3|zCjq%9EDI{{9FZ{_oSlqGtG;Yjy1=-~%#uu-qF;F1(Tosl&610{V;BOER@PTw?*JvvVIhsOEVc1 z_4!ol16gKvGYicEW}>WqEWN|VxOe=?5jNvD(Ptt0ODVp8{G8@m$ilg!H^CdndUZe> zJM~$wgg=>qWzWE21GfBB9{4bP?zQhBe3~zi7n6Pvy<|K;j7)$-<)QnI{SyBqrW@L+LW+LHgZMR`xP$7`+|^9y9? z@;WiD+RIeoC^@sGX9|d^Tz4lAqWd$D#9NuA{U_ibCJE58-0(3NG?!n-P z5bp4JCz<0LJ^(+N-ygH$sH=QF#fGtokESGQKh@9x;&0tx^uO>v>CiegW%3UA_?oNZKT7;p3y=9k;7NA|YSc_Sl-=Ch&vS7#cv zd3)AU=r8;@zUmu9f^l#wGLrB7CY-k6de< zIc$JA6CL!v<%#@0`+ReKiR<86Zw%4r4f9KFUZli2>b`z5^1FyBTjS5i`S6o%aE@>v z&o61jc<(*nDM>!~SM((@SQ=bN=CsU0{w0t3U7x4wJ+_Xg>|0zuNT3_oZ?=1Gq1sq% zp99}WxST7%#lY7-&(DkghoJth4^v3+W?z6i3OvKi`S2}(!*K=sWaa`FTr4*13%r7R zO-{=F(~&`8lnjnX7W}}xCYpcrwGo_mlsi3UAM42`gcb*v+WDkeuMYwA4 zzr4odJKEn6<17cCz}&4#R}A~H!;b;X{n|}A+~8fXTC{p$j`}1XI8#doG_8aF!t>|gAmW(!p~ppr?XmCg zK>rK#sx9y*!=BkKJzetp`zNQOn3z*PWs7i{Ho%d1NM4Ed}3__rPaDRKL4C zg1CO9?{5jjbyXcPzl?o4&!^JOBIl9k%?iUkJC*M{$bGj4=4APEf8r~>eSY7B=)R&p z`o#oj=}3(8=!1PP$7XhXg#91x2k&*wqBEe)@xDWxl3geKEG|(QKlko}a`$i6*KbJ4wF3`O4s#LP(Md}nUn#>>YrzzyYHwAlZ z;dabjn@C&(H@Hu}=2qK-2Mhb_wls@=4>H1NEbJqHZ}BI_vOKY_GQe=o$XE{EIP?4M z?Io|5k9l8o-*qm;^>!cd~q!fME(UZ?X$m6h@d*WIIbK(azCgDqki~n zH}n_Dsrg;ZDeHlcpO_Iu zKa0V!SbdsT!ew9j->)9TF`kht)0G#tJ6(Stzj#RAJMQ~LlDdUNAITZN+?7FMhsONE z{_r>d8zH{JwEBs}agQP3!*H!a8GgR(Gxs*PC8tt3-+?eDc`mjfAIpVR=(FIui5}%4 z(py#O?yA1MU5?@>j++O+J^M}2XTdt)o2gm!{ZbHHYECDX)ei3}H*6c()eyN$#JLT0 zjK3h$cYY84G3>vu;pghaLFj>=#Oj8_iUd6mz^^-ob;Vv^__+X>%KR}^`JgK?zu=fS zd?rPGXA`YS@&d?Xi+(f_eMKy|esbBczhV123k~Lin(x9SuQ{jJ|{=#Xc%>A;uWaUIE@X`f!TcMiVG&2r7cl&pEn)XzIdx@m@dem4W`k z`2zdh$VKwvKR;OfxpTsEH8;6vDs{N_Z_fS37RlERtrbfnIIraFPmE8TgZ&0$m5Z)M zYM&_f6ki|~({|ZS!Ozb?UlIfC znhm52ywLqGjK2Ecv=o~w$(rw_YQIzWNczVLLGQEZd*uPZ9(^35!&}iKY}4_0}Bv zguxVzd#ZkVKU{m|T!QEo^Sge$WZ>4hdaN*<%8(WugY!l9y3qHTL*y|yU40zLzc7}q z8}>ts0$&e%f%Ap=y8q3~AlRvP#-0kH7mX0eJ267JO5o@4+VWOHjJ_{$Z)SQ^!@j?n zE&|SWkY2pr_@3EvO;?@q1X^9fV*60_e}%XTKR?B)sp#rI9w^XWQOqygqgG>I76rj@ zKB4b)eQsQC8Ns#=&(eMC!f0ZS-Z0F2oI9Oqo2I$#AWzM^9!9>B`$PQm$pZXEr<4Na zSKL9qlCh{id(oTF)p!1zLg#VK@0Dpy98T$mN0(=n$ed9iMhU)^b=g*QN)tiP>MBU*}W*gIAZL@Vg1Ak2P?EfYy zr+9yN5}f~FTlxJyS(8c}kN|ZU+{}J-DkgXV5RZnxzNK+^HTTf zX#Oey&kN+&qMevuxIf`6d}65cJ6#ee{;=j%mkig&25$)`7hW3-_mJ=PCxO-Zmv-rz zmx%C?`@}!k3*G>Zd)%8odLCzIsQ!sPu=Gjp9-;oBW8i{vfDL^Xk}K|ueXA7fRhSQf z-E#?d&>TGW%+g~3Kg@}4u8YpB578X#uLJ2M|LNF9+sa-T_MQrY@JVx9sKB6iQzo_3EXRV4w~l^raJT# zf88(EsWNhZ7>T?X`(YP0A-IFihhc6Pe`l-<@qO*Zj3kn|&Nqra;)U+9QuCVMXYj{t zVxvZPKROS);R*OH+ajP91^r&$PrpwV-r)5IIW!1shV}KQN}kAEpQ(HhOAO89{K~P3 z>UV{1EImK7BE|RI#>qmjP}?&$?1pK?0E!chh%s@S24oY*fwpe+lHP)F=r4J)VCqiG z82sXDOQ08C{C-`k<|w_KXgM%PVQu2|{xc8$6wub=o?SL_kMK@Z9!2i}&E=v`O?;ou z5p)OGvs-%yP#N%fcE`gAr^`3HKT9UA$qPgtP<%5_kk{vnnTH|aV*e09->1U?js2MP zUDl3MK4Z5$O52^T}}_vV6?ks%~C;y1jNtFfihG5cx{x+?)teZqM-%#P!P?z+aKL{sZkt zK7yYM+U6id-!|+QuLHf3>uUUb;9uf?vyXgB375YFBS8O=hQT$+Y@w{*x z;Ypku@xCP%&x`cG6sBqJa$~t+Nu5Rw-R1jcdBW3r4F4Eo6-I-j#=Nqy zMDPUR$FBcUxna(4A^!ppr}yGi+QMI-059oHSn$#R&%X#i1iU_WQ4WHy1oh$oY89JT ztY<+Fk)DG@_@6i+VezMq8Qf%FW!MEU@FREf;)TVnCZcP;3xBfgXEI$#dU}!Hm)_ch zDD@)^EY*AKizwop=!0Q?#CDzk^75$)SnE-E&(vdsmrbzpSZd~~zq{*H@h5IUK2P$O zYhuWr4~Ux+wI|^_3w_Q!iB*yG7<1}ZIH&l(cXHrN67X;sL_aPa*3KpI=5;<`R zw%#_PC#E|{uKiXF_M!};-t9|p3%iSfHz;tGiISEYq++BX%I zMRig5{O*%9lKu3sTZVmx8O52}TLnJMe?J~c?$tj}IHC^cQi*Y6W4n6l`(Q}|jl?3q zdl&ROaG$JOf#`Vc_oS--eYTgpXRaMcQJ%(7YvJNFJB=Pjj13ymOr(EO|0#I)qRzxBPFj?6Q4h@2S~i%G_aop&KYATeeo+YvuP6p zv+sFn?^|vlWiim81$YM;i1{t*`wNEe$47GV2=v4)mu4Yf37qGiaX$1K za^sP;&y4I7|8S!l{6ctYBR?(L!g+K2f=TN+N0XN>W3U;E-($fvGQ2?xhn7Rfg{0v zK5PBw1**$*9Hc(`4O!9?JiGmL>Gk_yZn@##*48Fj%Fh7rg7X@`K(9m_K%JW}Q)vn8 zw*$v{YL0Rr`YbRNro%Tm2z$3b0}H4#3y$z*j>E^pw$SLwAP5YLr5|~LFx+4IKgP7rr}r2Lcq>xw`x}xhbaEM9 zjE!!X_ql)=^FDJEmru&p+;5SW%vX=lm&81+%v;@+w-RSdZv*G?9`0jZn6n(xNUIzeryc?qlN5S({8( zkazBmeGX$_{h;Ryf7{zguhIH_5!IiQ6*Xo1+w)ke{HbnvA@b*&xxeV>1;aL>>|uE{ zpN+G~Bg_5dk~d{>uJ?YW;To!2!`!H}l!H??($8xDUXJ>7S2*jw_!{`_d`~zNNPR^x zDmM9?qum-#C7fUE=Ru6cuIZglpr*&IZ;5_nzMtTp#`vx#a}zbE-Q0)xmpho5p+3&T z$XBwl5c5kLzPKJrAjwl?$7pU4c`<%1#nifO*dO$$6>^hUqulDE1ZwK~J>v@qw4EQ1=Sp z>dJ-I=pE_^gN|35Jlextnk}h%zSZ+oT{#_nN$6MFj$Vp6_&|o^`zst7_{`X!8w>q~ zTfQO+Qi$c%VYjS^?bkPFC(57iA@VQ(cOT=mRx2;?Vb}*YEll&lso>#@p!wST1?*&- zvF_DA!6w9ZqQ7Q>kI8eO4|sjpAGXa+qJ~@`;2u@Y1-WWI=3F6qYsc`x+sse)zV#FG zwcoe}?y;P!eKeVFF`xKFj&k`OrV3{(_v%dA!u<4EG1P?x$V1Ryz;&B9&mumUrZXdn zvDnW$SSUn<<(uZj7$h&spjYDB@VY~``kYpI={>zpAdO@$Bl0itO+fr=XG_@5{v5g> zwYnd|iPoR3vwUi+c;!X>FHX-x>ta)0A7C@^f;c9c*a`eGHZ<%{lFz@V6LMf|X#H*g zMRN}85c2z2|JbgA{*T(dt1r@s@xe=>R|123wS1(}z9`HusXR~&vC_VeSFtj0%xj)U zOQp#8f(b{Qpbq92?!A8Q6{0zj&p{a16Wk#&BxKi~qqMG==wY=zkHuK|lDEdCrUR(C^=TrHFjx8Z%kI7FvLcwTsJIa*{u{heDs(n8q&Hcm)~Uyyy! z`Tiuni5IU8LPpWq>F!j@xt?#E$Q@qQ z>xn%0lVe%vYwbrz0g76S-pu95^*i)KzLGh-|4!EXRE=Ei&+9Oi`m(@vbEfn{)L#)J zc@x{S;K_owZnx1wR_xQ9gZ&t6FeR8P$MB2c&UM57%eU<9G#^dbB>j%yNDCjNTOe`o z(eBFb)xEv8lF!(%4CjjguAJ0g<`hrEvGxxGe@yiBA4&}OHAfCftmb0{$R6Sz=6%u2 z2S;eX=J^52*M>j2Ho%B8w&RxN2o7rj1^6)i$M;4OX(AA z4_-3+tlO9~<2+YXJg^&z%7FML#K7#p+!`(){5f**!!mv+I= zKY@!k);N$I&k0w zJXo&bYqm9!rZOfd$cLD^>9i(8=Pu-5q(`=51abZ>3Vch!oBbWF90vS+8%v?_ZSx`c zx!E5&2!CKz0Ol87gfI6cwyS*vUyY1a@LS&X;~>1F^k)1HUaRC-GTn%Ef~~Gu!pq)% z1<#B8bxZoN?=Q|&&TVtdFTg)6YMrOO9?+pV2fM@3leqS0czy!;U`)J?J=Zb#eZ!p! zWd1zy75Mx-aO8j+oVTl6$(9sa$^i40)^fkxx-*f`KC*8a=6$qd!RQD6e21{nxAETo zbN)YDmTV1EzRNX#+JE#QkkM6!^HH`(+=*o-y9V~eYphj=^NA^pZ++lGj3?jnNfMR8`KBzCvRiEz^4|?eqIo%%0x%|Oab>$ML7^d7phkQ{yFv+YEXopk!z|C^paR;7FgCsQf<6`+N#VSe^*Ly{v#-cruFP%G`1 zhu>0ohyC&>m9d&bE*O4qdFJM6K5l*p)do&t)KDLq3w!+@@Gck&ms{?p`trBn!D4J$ zbTWrBgoER(+_Tr%gK>dCWRUI|z`KxrF1Y=CJ`X^T80#-JKT4PWxLH@ysSx?y{dYX1 zhtn4GF6zBLi(7!a7;K!|F~4xz&T8}=vF?7V#z@U|Auq;tFn^AUA+8OsjK{tedFE!@ zD$EN^V<}G^i0vTrW?3j5amP0IeM#!=UW8~4e3&b7+`Ubiqx4&Kg+H0`u%7qagi|pl z4|589FWYRV6aTVhUCRyEz%MS$B(8P%;QeShx5$8}%Xs}qI5!v==&IWoKMv}_%~j%cY0Z#qB_BRYt;kq<30*|(P7G0pHWq@VH^IO9k?IC zj{Q647vVaA6CA?@z!$5`a2Be;yI|RH;52*UwZ`aw@=0)#b6p7Ogx06NN+KWTvw;J} zG@#!eT{X;0{%lk#=@TR+-UHayts>wNMDhW39qEwp_q3edg`CP#qC`!7c?6klAy zyRbr?VQeet|KM+@4~?Y;EIcAFR@na9zppz%?_`kaP4JTupKFf$u=ETT-Y~dsFLE7f zNAmstB%5HLsM_|*i;z}WS^jmP&J#_0Xus-frnXEp_ z0qFDPUw>dEIlAunX3T9vDa^NR7fBL#><+yWJnNIlbMpSN5_#Hh`1r^wG~9C#f_Yy! zu%97s!oeCmFZ1MJduG^Hd;U8&5-oG+Z?ogYIyjx@qPhhq#w-?(jr>+9$!T=qTi_5RBkjPB!!W6U*rhLXsD zk*+k0_xl~dyTCEpbsPG`*@!)K5MAQq=};CGa}BO5&TGEkE+{vQF-fbRrTyjqi>4_U zpoRy7*AAQH*0<6$HxTPdJkDQ2KIb0lF*+a*pZjCn<+OwXy?6bSsygHi_@+27-KhG! zSz}Ft>!_O~Icw*!c+U8~e*3aP8`9!=yDiFj_%n=Na`tzB2& z1MiIU6N7>!k5CDolJK5F;OD>FKds)=naZmzjG@jPEJuDH>hr{PUt_Pvd8cKO!aLg! zT`Zh=$^Tq8a?gFzh+YBne6)Es#T`5!xOu&o_9eH0ABOvXzeisZgFNolQ~fPJl~585 zvV@cRv^pcd&-)R~FC62ayT8bYp4m5%Hl;&h>li?c`M$b6iC`l+(GBy9a3S{%AbuQt ze-4vgz4DF8w3C5%HIRSd!Y1%v#kM-x$bNAr@?z{Zdf35=zQ=EK;lJ2xz`%Ro27DOy zqrC?20=-&Cz4K@)bK!zRl!tcDyP8v3X$14@k9{)u5VPL2QO@q@92$?YF)7cP_M)z5 z_w8^Joc-NEDl0tRI2!&jnG4o}gTcW#=#|{Aes47R$;|2YL@yuf-T58_%&>Jf{9|HM zAL2vPF|KxiKUwh8SD~BmAarVk_NiS?pjjNiXaap19G?3FE$SEARbgaKNpm2kRJ=a| z+#k-lFY_g~7f;w9LX2nLR60;~Dd?4;d*mO7AJS(jNcRKXh`FjIm|yt*{TcL1>6!ns z+{hfA3cZqpp~#W2>(;$~9xY1w<#x->sj4H|AYaMF?#RDLFOPk`aP!w;-j{tK{=M~V zGyty;?Okn-f0m+ipNF;jo8~1-u5>^4vch%4_krtl2TnsCh5MW4h0%Z9Q?%Nj(%6Xm z!)wFq$H*9W?H9b?gcuuh1oJ+y{=0{|xDcN|D>IYy+z$e;Pq?Gkw8sGXG4b2>@}uO& zH)mhL{PG1{f2qFUDRJ*j$6(>Y^n$)Wfq@*JQ;FAAFW^spj`~#kIfhn&6Sb;hqWB4e z_aVQ}!RXH-iMjb-yp8!^KsGmw?BUwmDL3hzY?9p04sdb#z0@E5m7J^mtvlgb(X%Sl zmW=r5Q`J}A+)4X#JH=}sW`3OZDz`2MEEoespF{#(t>Wri0mSpa^-lDO^Y^-M1T|(s z4t`6?Wu6X`eANNWFN}Y4#C}Y^cXhxQWX^9i^nLClIv=6^FD_2@6)=VwFVGB;|$zzHw-`T71BoTGlcY-bwG zoJQ!C*#?bYIA7TAGVxZCk^ZGM;o2V`7U^aaPR;ZLp!n_|YeGQ%~E zzolf-K47Gm*+ffzFQY*op@n1H-oGYkZhZ4UO4s?`*yJb)oj^?0&s2jj@~(7OPKBf zPWuzqz8yQ!bE=KVf=p#)Ef$HmeMrDg^` zhVy?$(YMSG9OFlc_*~qkgMW-1)Q)_Ma+TkQ{=&fgvAGn*0E6jMNqipY4>tf=XOnh;m)lrukPd98Yy~N=xFGdtj9IGX`C^Q9qw#LaaiYdi$H##d7$ULi1DVD zIV8-@hSF=boe@!!5=O#wJo{_SJI_ zF8_1*`DOn+K7tr)eCPQ9%4Sf^1Ng^~)0+5eGPwd6Q-*$@Tn5;o|3&VJdyV!7V15z4 z!Eh^jn>ml*H~k7j!h5aq)F;^Gf_Z*BbnS$KJiVtbhd#*thhva`;eoy3GxP8x9QYUA z=m;A^Fu%xNdtVOuu-|O0v-%;*!-;D)x<>~QV+5Q}Uoudk?%zEZt~t$Z9>Q6=o}4av z(v_R(svlqT5FNcE^cSuXeQ&9ca=U-YAhy{La|l&mr}ap3{bFM@X+;i^3cryYrHmhHoluf(2l&SE!e z2VB7y9$Az!CFAHK^jAuM;-xYp`NCb9w1;yW{lIa8v9Pdb9=)u6FmzIRs{Xut|M<6 z>7ANtr~7>LgFa=S)Jrd#!r-L6fz=#{9-{YTAFh5r12EZ z|9*_INR!UF(cA03edoD#UF~ssmZQG-!_G8~`AL{xcs!r?bCAyCElUj7@8sPLm;23| zPdsQYVsa&m(}~}kO}c}R%v@LS`MDRd=aWSGWd|;nXMMCs`tJ<&RrU|n{`mGIN%Gpm z6P3q>`Gs)^%Q2@YpSwbPz&be++qwI0wP;^%pYhToHujxR{r4hV=?+rH#XZ622S_n% zWdVK97l1o%^fS1=^)c@=hyHe_>8ck^D%ZKYRu(Zgetb$at!Bdp?yu6rWS>Tdfq&RP z%~SRkbHGCvohmP1=9~|+3JA3IZ(Bgud>3ECpa)(gyona@Uvf|MZfgob&|^+ZaP%RB zT?H4DV`1yxDmHu{Z*kE=c5KLRKSg=>*8`NtH=qVV#XeHYdN>VZL*r?C=@*y-|IJg> z&-&!LNY1P-_?B#MzL6A7zB1^Qnu%?B-Z%%f+AY=QPFoacxw-_O&;dragrC{KXf1<)+C4E@|Q{ zJDmsDW|QP@-}2Ub=pTW~!9*WlZ2>ab660h4JcD_U`&N9xhr#pbFd<$!J9u6gsY8-!x&!G%i-i5f%H8nnoE^|NPCsE`lL4j*V<{{`vGeMoc1^*cPc;8FU7yWHthK2TX-$h`s z_Jd{Qs?YkTHV^a|#Cu3txfpYJyzqbw9G0GOMG zd!U{>*bxr5CINl3iS7CW4tkM%uO;%3o_APp5x+ zciRWZi*em?kEmjE9$(A3@Q-~Q0|2dC0JUIF#<$QbvEG|Z=mq}8N81SZ%V%;9EzQPHAljKO@#6AgxbESc zf^?2*Ut-vXxa`Mp;`+yMZx7aihVL* z+)blihNvESeFTkW;OajKx_@>@?<(RwT`;EzhjwR$!TJW#O9!gKe@y}Znt7;aeN~UT z4~_@>a4^3}uOj9bwpTA0iFus)9;4i73^)q0&RLoZzLBQ9uVrP%76FeRzRjfCTr}J_ znug&Z7~d3q7Wm#=J(;RphaR4UHp#DZw`&eufxH-u-VJ<^-^4jG4}74$3}^#K zNPKeVQi$>RqkXJt_puOy5f@x8cPfO44X zR~g~RuBguMH@ByCY^;MnS$qRcTnH)Ts?R@2QVz$aC<+W{2$a+{^9r)!uZ_?L!vG%4 zFU-HZ41aQ06b*I8uO~U;*kG#9e{M@Ijbh;VhN;S}u?J_D&)Fuil7DXA0{lP(vD<^! zCqD86k<(~Rp0R3}GB1s>|N*`kEahK8zohw>~s?P+x3-Pa^Urh9u@$kojI@Bo2B0T8+zf>qs z_>}|I11HxGd8G*0AfDdwRi21dD7EK-_ib0r1zm9@9+#RxACW%VA#Nl!m`+&~h3Pc< zR$BG@$zE7hUv!KVoi24R&TH7XtQU-j>89ia;$;)$=G~ zoaM#8ubIjCT5RqSO_4kwF7PA7j_rqhivCKRgMA<4{lmP@L&1{!k3ODD+;6(&kE!Z+ z?1MgW&I5$S>b=$*^FHv{kC2ZW&A;A_NIC_1^ff;JUzo%C#SJ6eiV=3&OEf=Q`db~U zyvPE1bsyuq!$DVVZYgjz}z`b$c^+`?Q?GnRr)3?!^ zBl8RL$im+TPf7X@z#A8iRQrJhn^3~Jx>F?I|HG4H^(~K?uDSn_k=6G$BH`qMe<6No ze=FL|!aVX~{x8ng?(c}7w}9?0n5Mv5ZCX*yQ#uwx4m=1!H`E^TN+bB1U*H#+i2&|V z8_8oOl;-I7YrC`Ltn&Ut-!xv+&AtiJe(*nv4eJrUe}vP&8(~ztB{)joSQY3!7V|!1qy3jAkr!g- zpMwXZd6ZHk*RuF%iBun@9#~I*Z1?~IL)QcDKYZAC4)Q7 zoGZToIxr5wHSmI*-35%pHJpj&XMP!3* zUOO-JC8MTs&MYgE@6(w$`nncKU7ho2A_pbgTreMCZFcKx_&b>6kKTvU11mSX9)oVk zcA4JKjPMgM?@JG$Rb65{@1;L-RIfVVtn-O&1o3{)4m?=?(ZS+p2G$a&~DygV}*7UXgxedKRs5!*J#PX{Lgi_jmif4|Rj-M}>A3-6AN8Xu#Fbush5Z-`Lw`fAIDvtz^+Ke- z;w7FJxknBG&twoD1Oxvv8x|MD>b)Y=pAKA|^IxZK`6L_|==Taj!_50|5;eg=0`wQg zjn&UAHvF7d80ZkZ_qPj>obluXNxEmi{IX#SZWh~=FR?}QQ5-u&OsB};!m3-FW0 zAK@BFayeLhX*1^#yf2sv=-3mo^VBy1Un0j#J0OoN z`4@+0<|z9R1EA;eTs+xE_-qrrm z`utUzxi7^-ePGB}at+359zc1>@xaKicna%%tw0chuzE2_h|c2LdjXT zGw{Pa=X1(2QTxvp#Sr5uJI@3^Spssm4X6v@4m})+?OfkrPUhV3PcM9l<41#AhZ1A7 zzH9DE{tO^I=Sb|%US|# z)cOIf0c^=_KsyW`Ko|W_o8+M67Zxa33o|Kj^S_@CN|@`_A=9 z?VtU?LfHbaxnbHKSaT?RoSo{qaoGgg*t$RNdZ};p%RuFMgQq0^$~m^gHRI>zVt(OZ zJm#0PsIUCGbv*G?auqx!?xAt>DK^Z13WELu7yO5J-UuL88=GQ&k=#D!7wHpyHGmi& zwF~|TzVBQ@eqZvL=zm$uAR1HM|APF!@KkLh=>cr8C754?s}m4Mu+n|zcP z^SGKn);(1AOctCkXpyx1(IJuQanKe#(wETXmd`@YLI$P^!@l6NeI4~ag8RUF_N%lQ zulZK&rG<|)(N%poRgS_z4;odV`^GMAnnUT7CHwj%H`C}rG8>A@jNCKVWoi!~d|2!g z`mR%+_FLfI(438|zMjPXlw{-$gwKlmNdfQ4k>6kWHHs7AhuOEI=H0oMyr>h;c~+?; zeV@Ntt8W(i3;S*tKC{pU{(dKym_dk#)ha|U1`GMvC-c7h<4*&$=Od`fY;Oofs>q$z zfkW#!-kv~f9{&B8`81h(<7&DHZ@)YtiR8y|D@wWgQ%a5S!$(9@9)lAtel!3dn>U^p zj_ZB?92_ym>=g&=b8;`2vRF8LBb@s45Aa>^t4a=<8#%FLL0##5oG;6tg>}6<0DEu- zh~AE*1)xAajI$7^JLmeey=i1$nq(*Y%z{PP+N1p%oKN)j9W4x0p5C+W1WH6;(&x6i z|3dyn{`oK`;X2v(kJtP<`d&}*p6o`Ek-Y5WMCnER4Enz0v(G1q5Bj5!2;v&u%a~uJ z@3+nr^{HZh!FGE43GeBIHi+JT`9xOdtB7WE|5@Ki^`S;s=^XJ{oah`w>*moA0lgI( z7x>lR{xXj`@j~`;2z@mQo47B1$XyIMmC_Hh0(^e)E0o)i)TUhqpPy^5KX%riPbGL4 zET|j{qVIrnPd$0jNX-Q1ny^UQFG|jW1H*%BX1eB4+%i;uXyi#!OIIU_&T{X~H6KEV zbB)h9@}TWyRMA^%+TQ*V*TZ=Zb~RuVRR=sS}o3Ncj0>6|(n@4R9o`9Xx&z zzCh*=4;@eJ^X)h>l%x-1mMd8!|J9>SQ}r7`uPg?3;$X0w%pGmrv*Gc)*%?4LG({5}m;{zz#l|TkNk4DKd@l!3EXKr`p_89X>^W9&b(3 zds&Sd`g3kGoNC+y_pZ#I_`KQvcfRTXJ<$I$?-Lp{D~UcX%k6PxYBbG~0-LL*Ex%wh zqbY-V4p;q1xaQmQC5O-eoQ{42kO*rXLP#G@4r+sYI$!i6!X?KwJJLeT5nPVm;80#* zg6GVy{k1dk|6@*_!!+r8@?8b4HSF%|zP)K?@^kf_o#-cc_SHw?@SSsalLC-WN-TO|09|qWr_@Coc#~55<{$ZVcW}@yp1_kIn8+zqf zzKG;RP;Cx8j2%ea!rBe*8|e>foT7f8*y$v3mbggWuXG|p+l-f!U!?Xrcw6bu>q;E) z&wpC8Jn9O3Yx(bmX2pZIFDyEcCwr2d$`IXO-Nf_4d%fn*jOfs3alc324(T}Ms5Hx^ z+q_l>@8UcM!y3Rp%{~l=$;8KX7pD@#IN6An5wwxHPeT-oIl`=3>DGgnN0(AaC_$#N)mp17A()>s#fMM2O>*{o5NnSh--98173M z1AZT;NX{&qqP+W$CrKY|gkuez-v$q-TkO+q=Rk~m8_>IeKoLr)Il)Eqn(LFKcdYq| zXyJmtdl!654yNwKyw5-`f`4pp-}291c*Ut-`(iG&67Y7R>f-Rjoal)pIPPO?->sPJQ=P-FG#rbV z=Z=09en0iI(K#CaWa)$VbEaMF$0!Y#`=RgnAOcMm8|Y$_$siZj_Zbj9-h;RXtN+M! zLW*lx*YCl-U>@)p&C<+TBQ>|~0G}1x zcO7EY-&zbFmMqdMG&g<2QTBg(E?YFufO#JuQ_<QP zzQ#-B`p1qQ`dy1GVjx_3MOt-UuFUY~T(m5c*1_g*=S39lMBVQZ+{a`-Edj5O&(ARM z#y>#;!SMvm{b%IseboZ~80%(r(x^Fuw9C9?PMA~^oD4ZIt%X0DBa=Hz%}@@aVSd@keWbyD#4foP`29-1V2OoXQM0-d{gtaBlZ<|pt3KvN;o_sJ z=U(08nv9-0_Spvc(^+6o0^s9Wh&|`ll1Ms;*Iy>u%nD{Rn-bf}MI|jTvo%(GCcnZ(UarSH8 zGvce<=NPHJr_ok)^g06g5pkNIK9@@=vZyXJzQ|oveVV7-x*tP`ZCGEV`p`JJSymdn zox?Y#yJ`M7!-n{8`@~i2`(vHy4Ew~8M`l&OO+*keKDXDwBEzwze~}|&zuKu_5794n zjYyYX$96^OG>-M~%O2F0gG3dH$`{=TeINXd{QolO7WWT2g({b^{z&nqZG-+I>m$tj z?CW<+u_%Yh!GUZW}T*XMkX0^z3z z-*(mhiPxFpD>;2EP5Xsgl$()v7Mf*?GKuYb_b>;%i|^&FmU(oB`Jb5gMX#9bsXRaE z`^+2Pi0|K4@FfT26=)6%oMquk{pm$)Q)}Hcm3U3s<0SNb)}wz1rx9GA%{MJ1_1j~M zO!EnkM?~DQ=>B`e6unm;3ef%X)7h>PKubQ2Wzfh7nY(*jA5{^`13ux_+*n zk<<!{kK`F8Xt$zFS`6-{Bk1$bxdf2emOmp;HXHtyL4Qy)72>aEbL`C@WCgcuj| z>t-Kn#rGl1`w~Mq;70Gkrx3XrygnEZGWX<&PiS?#v+isE3Re#Jjv!);?y!MHhU-yl z;O{TvJ4Ay351yy4&Aeyn$wR2bnJjBupp;CB5Fd!-LJAob38<#mq_ zCAM)){n%Cabsd|^d*OPo0+L?4yRLN93khNP#H7z0&kMe;cv8xZ@EdWya6Ma7JTC*W zj}1gVm9MMIZ>G|%voO9TdrH1&)P)2Jgh1SVLB9Bzn=J(If^+VeU!=#gkvHw(;MqH= z%BeeLP3&KNRzHdC5%Bxzp@kwP*ikI~$axLHIbwe$_Q{D{2-9kk&XH@Y4A-Z}cNk7J z5o1|(!(RBBi_hf~*GSHK+Mne04u3M9rYAOoqR9hw>8pRbYMS606*VQAO5qQ?guK`j z)Qp8<-r}Cx3FFWo!+e@n&=tPG@3bwrTkwZIh!0m^Z?uIv@_~OLR`Xe3`6~xAC!YlK z)NmTba}etzi|z-1zizPI!Gi{WGJ*#Ee#j=S7g`Se1zXB-g>MFtyjP*W2=ArDRykXr zqtAegBFKpb@r9e>g*)9B^S7*%ua+3`?ZH3xntRgf2ax!JG4FG&i52upSvQOsC|uPO zZ%!ephkql5n)8DdJ)Oq#KoA3-4ev*~5OK@j^ofzW&!2Bah0F^)7e{?L==dU+dT=hU z>qX%vtUi=ShB5x|pP-$i*@EjnstegZGvdzyZ;0&zo5$3p*OzAez6pNIOz;yQZE+^h zp_XU0h|u2RM?u=tu(-&e_3gs|hX{J}?{9w!uJF+B0r<&seTvSI9t6LR;HvO`yLFP@ z&oICIx%v2*@7yyrXB!hrrKlSj@%~78Up9+P6duK>hcU!8)4O(7^Xv0&8`1NRI|_g7 zGvs4Au2b^yc;a}{!j++VPx{GKdG)zX^}Qbqy&@h;D*9}fqJL%1m@FFptoTUr<1|va zt<0e9&c5lTOwC7wJ3J4ImA~Bch+8D5H$qMZKd$nP&|UcgjJz~H#fF2Aq92*<=-;95 z6+z_!w=~+o0J9O^B^89j7Yk1ShoO{HMc;Dw&tA8(E?~5zqh#&u&zZMy;YitvcNPG<(Qsqx& zYrCG`d?-nMoE{OxH9xic4-~%09h)h11-a^s8Y#+AnmAp1FeX*|k*$c>PIsbZq|OC> ztn@w*97l`~FW3RjrwkB


bAg?Z9zupRn7+SLOGBw&6KgIA@II0pPx;zz;!!uPXI z$cssj(L`tAI{bkB80&C5!Gi@o0)&QQ!}rx5*fTfAxc2=7aQVQuS_Cft`-}_OnofH$ zHdLJQAYS{{x}8WPaI8FB<3ntR?Oi96Shl&{4bKbWu&J0|m@kvxG*SEjTb*JFYVgUkM2A=+Kn%fsyrs?j|{nW8*bna6DA=%x7G+*Je{w;y8BBqyp(BU(&}- zxxt?3-2?Yy2KZz8y)85N)qVHC4YyeFH(Z+Vmf;7dJq&b*x<+~ANM z@RzXf{EGtOICgToG|fZQ@g{!EPPd2ulE2s`*6J_63ZD;r|1(cn2;cq=`(J_Aj!%*I z7N8&OIpj5kejMVO`rFn3^|iv!KMuVaPtLe2Uvr?naC(EM!4Jdu{-66RUnv50ruIB_3$H3+Z>saPmEUzI|Kcf1K!vtOF!a&x!UW|F zgtYO*xRrsjSLn5_yMBLDZHYOA`-g*z06an7%pP>2vY^vj;3mts{cfE0Gc+kS+{e>x z5d6s;ls)P%ebCd9CzV`fy9jE=2hI!hC9OvBR%w{-y-Jb^_@16`Vt#4C_mB~hv=;rn z?vIS_r5qwj9bWzm+o$oo1o3Ye^NaXg zk>6(<{L`EmDmgNt-qLXvVp+e{xe7Cid!^rT)Sj-j7R`M$9WVQqrmmr?6M7)OFPv`h z$8fKAdz7y{9psdm^LgoXCS}2R^~RhuI(L*EbT`aI=H7&2U&s5b72v4i4^{)`GuCrm zu7YDBy`=u0niJoaK+@BmnonyO1eybWGVa~~S*NN0s?v)<`>ge5vsC3*;6BECh(h@1 z_;YV~0MCaQcuS1bz&}N%rv3dzpW8 z^&aFLF8s|b`1v`-Zl=dd&qH8>Kb?TB{5Je!;upibFMBfhlh+Dh=!QYPR&YmOJHk}_ zXP1m@@r9?~_aacn!~5(GBs(^09Pch1fE?)iV%Hy$s=1o~^&n5?@m9pq-Gu;{xM82n zw$bcjgY8R-{{V2P7P5xkBXkh5rxU#b*pch>j!BWOl``&!ui`5cuGNS%ZFvsnB0$F!&$( z3#-~MKl7nKvN$kVX{2BETQ}MVck<2|HdOrfp9B6MQRf*~)wykb0Tm?{B49VRSOP+< zsGzQCL5z*62%=JCqx1~|!WKcmUg9y-3@ z`cynG*AP#-g&ZHpBu0L5*OLw!XR zYf9h8!3TNTUxVj`dF6LcTC~?Z2lLCNFf>EnR&Hhp=6$|z&xlc<9Ohu*nt(r6nIEJm zUmDy8q!I8g&SHPJ3i%iL7{H(QKL&roKlazUYWwQod=VakGq{-BVbHy9E%%s8;9UrJ z47w4IrQ2#23V*&O<`>D4Cr7H@1^?Jc&c%ZdBXR)zFw)02&w0MI&oM{+Mp043 zwU|z(T&e-=mFKp2{d_D57T&^>Somo8^ZzDVe(s9!!}v?l!wo}x<}>ZZPrhbnmgv!& zYWXX7@MEZQavnL;=Q8Km=^POQ9xTrj=Ur$wZ0QxNCJOiI_OJwE7uU}}78$}%7z{m* z^FIZ_(rdUL`F*wz?e1x!$_$2R+gZqyzN{)_vV^k)nQABKGr;ozmQJlv4fpVB{? zo^#*hXe-@+?o1%STF3kUo=uIVNT|SIUJB1IYxu!H4siejdx`=Gv0ji|UmKE7F80*< zv~nflF*D$g@nlB*;>sjfnvex0q9$?!;3b5d97b$Ux0zRHAXWIde*+WU#P!Go9xVS@ z>j!5D_qknfJTDkGFV*!`zDdnw%^&_7px*~si0zu|hKCc}Qt7T<-h^M$FHs}Sg!ZFp z*1O}#t{;@NRP2)(P!x36=qf=-CvrUnM=8E zwlBfW+IA!K%FwwWLSr7_V{hQveEH`hT+);e+|{2JAcwj>Dpm4|o^5R8KDobTvb?uT z;YXPbd{X5@MTXp4JAezu;M#SOG>-T4Nka*Ec-#O>4bejec}f00_?d%n9p)D2>G$!n z1Id?}l&pIWzgT@vjcW$m^?sWZOFOx!cu$b-7vT>*gkqfr@Fiq0;H*7*8PQ9^y};#x zmu&|wmT=bLr?czv_MMkjLeiH1c9{PX2C34$L8*mP*lVys6kq@)Pq~CW=ojYC-~m{s@3k zu`!eHKdEN*n?4AZeA9+Q$%Gi-e;xcy+HVtreKPmnJ4OnhV3$35cYr~0j7EPYpVOn1 zFW9Lm5!cVp@ru^@zNeM!G3=&cPUCNELpFWld!1E*`qfu~pUeer*O8a!z{VWxsaPjE z@Y(>KW_2j`$+E9bv6XxJa2l_Esy43la2{UlZ=>kgi0?W)>^O|LCVt@$MaHdsEUu8d zlzT~CAL*BGTR($D&sm&7(>I*{#pR@r@)#bNsXXTe;fG=T(4f!IPsF{A&BE#Y%PxC8 zaUWwm-TyGZ$eQPEoN%VDAzz7W1Dptd8Y_UwaDC%MNO6BM+2tvpchex{VeStXF3Zdk z?30m}j+I5dyqiBE^*bC>$% ziQoMr&Nu0qzcfPb#m?n&=q=Y@wTn_7mVd75Y>Dy8pBf!Z|EH@mpYY((XgUb2$=nW@ z_j#Uaa8vt*`r2#m96VT#A-^xeKAC-z3quJMCcmruoweUF+D`kE;op|;ua66@VZiEU zaP#;asFR@ksDsFhA|ptv?9ama!ahc8lfLhee>um4^z8`3w6?DY{Fc(s zioRF211;ob z7-$BbB&RP{W#fF23(#wWYZjd|J;k?ME#8(GN7L00dL_cx&FIiJ91z96uC!WC))&U*)P#F71vXe$Z}C(!;QHWiB!9C#KRM0)5HuE98;4 zV_o(p(nGnycbtfix3&kc*Wq5v^3X9c7T?IX5aSc-2Bwj4*T>#AyxM(7H$pko@VUql%#y+2z^LZpVvG1Ey2gV0R2VwP*<%r zr*#VbVz{WyhVKn6$S@cd8n|_y{q=1wjbTu8a3p=hMPf&g-^V!j=p{4XopnC12FPyh(M6e>!RJ%U=<) zuepCIMfu7d(v{~5za_67Mt?Mjr;l&I?-O1S_G9fQ{t^2aeoIcV?VFmd_fYo&BMiqv z)?VyUA(w9Y7kfw4>GaC7&>ZG54M0CHdNpsZE-~N& z?K_~mMfZ~3V~FEhPYz~lzsI;#<(UlfC9B%!er&uYiQMsPpOKPB6JhY|1HYx21=)|O znnNk)ue?(1$7Cx`%>dK z^rM^!Q>$A3NGp2Jz7X)u zxkfx=V>a~_-%5c|9R;!v4&*4$^(DBe%)K}rK)?6{%=PBA`ep8UiXZPxfi3ac;mpqQ zRLBFsSXWBtd8j_P=Ij&SjecZ#0TddHaoz%5hU*ny<@-o(=f|$#^syniQ6_C>qh&Q; z`P}z{UMIPuY1>yOT9ts;`TiHlE=#{`EPdSjQIlv=@20yONF~5l4bUFO|Y>4YW zRC>*%^ycMBFP~lcQIhL=l#xra-`{z|aAtedT6?{({+=bApkdDb%7+6#Sboj*Tr?N4 z&yKL=8GaY@T|3T;Ty)X=F#IsWbsUmFY!jT(ve=NG@-Q=PWib2RVC_L(pRD{GcjStB zzu6N!SpHA-NZIFJtTIOOPQ6Bf&ww@3Zul*QPtuBH-&!*;T6Ln~R@5mPjb)hk=g({Y zQ=_ffG*pV+E*R1uxF<*FjA!Uc;hv%00lJ^x_u7!>l=+tIYl+44!uiI)@f5?su|QWE z2kgQ3@LPiVX*IxqnBFI`Pi73pGwjX8A5hUp`BR@`ZUMJyK8)itH3dO-PneV?rIAmOY%wonhg@P3yj{U?_f z-8L|t%$v8|qI>x%G4h_fjlEG5?m<6+dlu)mmih{ZwC{r?It1Bx4D?F&{lD9uFFJB> z_$^)eedz*D>Zoi9_;2NJ?3X7IcWb$Ah>%h_^#=oT#4vp!Y%Z(v}G~$p4SMMt{9A8 zpWg|+Pc@NH{%^4Madbnk84ITCay8F&egt{&BK9qG2lme*FUGmmaNNfvrxh7b&k<|f zhxvu;8bhJK3>muZ(Bu8l(l>k>xn=EnziHfm0C09Ud#cU;IrzuWO4jHhat)KXs1@_e zV!U=AoO0H^Rew8~&zIClReiXti}aN(`!PZKum_^=i#cMKpBEX@C*g|y4`OBy;mZ+! zJ@N~}!9+i#Jk!F6xD?g+Q0Mz6*IV_Mg_=T%>vG_> za4~%-^vc-?)a?o(vHyJk$zXf&&lSAL9{OirZwJW*&Iv$HlKUYRb|A(k`voUci+3nm zS{Fm7m=oLZiXpuM=zZe8@;Wxq_ji1EP4cc#?ei&h)_ng`J3xX*Y+Vd}iZKe80$gY_1F=^oP~U=qzh~k84IJac(-({_@Tod)%Au2}t$A5k#)F+5 zpuVW?uMO#IJ_jBIu$gyf*^(!0aQ^UH`tTn-z?GiOg;H%}BEjZN8m8aJ`%4DWH{Y$R zWKv#b3m@WC+$hZZ?1QL(5`E%q{J#bLg>yLAkBM*oU;xQpsD?%N#NZx_9@xxVxqR4% zNN;_&IAR&mtzoX_60hGeINn#%&WT`N4QO&Kmxe+feo=7{@tFTv_i)YSE&l(!iww`B zqpi@RE&G65ooNe$2JyV0eSJa^_P;WJZYwclPX5|LNY##9|5*%ipTYPA*^;ko7Lcm@ ztA4)9F`k_y`xXc25xiIV&74oNZo#}SKHLv}#PqC5byL;fS7@z07{|;s5w_K;Gm#q+ zV|J0jIM~sS;O%#e8#*^OQga`_hmhpVzWroyEzCKbFMT)w741MQ3+@chQ-0g(4${-} z9rj~)IREo|jOcF9rd>DI^1jI@mfT=>&BuO>b2c}6*8Fk{E6+&!H+@-_M^d--CgK2`4`#|)W&qE4RUqWa#c1mzvKPEa4{y<&rV z>Z<#h=_B`gO$eso_Dh$}n4$ODO138DqC0e^gY5sgAE7WMeAlt)8Is(g4Sd)vX#Wj9e>;FU+$_ou!JK{`b+aQp zy$P@L(!N1vT5fMO*%$jUP&#&e*EN?yxi}^6jv={?6er;)-U270JABj^;kOij%;<39 z_x1B458);~sZf(x7I=;QSPTo$;Km47a*2i9x>Y#*-Y<=SO961IM0z=@##vOq_&P@C z^b6TCS5LE~Qb#WGGW!zfB^7_zmLz+|8aTI@1NZx!eC?61ou=O>a#B(!Fd$X?(m%J+ zea;6n&EtUNX55FQsIkc4b$f1CaQ~Peg!`C0Z(W8GC_r@&4=pvMM?Thz$}!;du!Hb9 zN`HXv2y9#3!Va>B+?$@PoCxq>gg4yos=>Uc+?lbuR}TpytSOcs!gIzxu$7JSs1Acd z9m6EYRuw%#vIm+TC13A-8uUuOpdO5;!sY{?rtb_UUL(z!k*7X__tCQdamoQ7hI1FK zZW>5||9$QU@W&7fKYlJt`+^(#Yd>PmVZ<2zA#N^Z`35`bDG3TsCANdVxaLBwS)hHD zAfNO0@N>zYXhEUDGJPiUP_iz=yw4oK_ z|9%;suID=Rml!T|Z%OnyK2|^VjV|kDw$dIL^ks7Fr`dY+tjXT;g27z1qsWWNd5Zak zueGhWV6Q6%=r_hUy)ikR^rWS@rr(RUCFXQj#QY+;cJRmS7^L;NiO?Q4v{}rsGOjh| zeO@e7Hc`E=@c_L+Isg}gxpo=)zE8>^7sy3U2Yi%6h5UzLf|g@`0ViQF{QR89p6?V+ z#~IvE!CQONKQogJ3m@p~LHk)uR8p?~ymRjuD>*-Z+(~n-m|rB1oHR)D{&T~%m+rj> zJ=xDU#hS$N!ut1d-(g?-3=djbe7TwPISbjqu+&zHYMjx zr_9AMU)zYEX~BQUDWKr!68bCTz1O$M;PY<+<`?0VejiEI_rZBxVJJ!6=@+Gj^cJ-D zlKg{>kAw6+m3GJHo&m+{pzlN8_#-lz>Vv=0d}$1Yz+SWhe#_!omE$|Z53`H+_16bW zPA|80p7?(Mosdg?kXzfgVFYb$gyg|**)*Q}Od3QH-nzxZk$(~W5`7kTxZf)vn6fH> zv{)mLI9>B6_{pmmA8*teym95}-Y~}GfSh31%bp|;^9wLBx9OB0Nj>V+Q1!Dsb*2RZ zRj`}W;(}Q6?`9;Q8QX83VaWq z_X?tv`+upE@(XuI2=8Rw!4zWqeui_p&L{1orN`F!tU-*^8(OZ6cZq#6^L;+HO_0y$ z_4sVf`vhM!q*r=Lj&hNXh7r`&xh`?&ujG9Ggx3b=QkQPqF1;K`u)DVR$Mb?U<(rn{Gh`m|+T$br zxK+VV7GLGu0PUxFn@Qa3_1Ym^`Vps>_LlwPE(bF)-aHF^uiS(4vK;!7*wAtRjv;^N zTHuHyW;JznE)}w!%8d;pBVcq z;lFCCf9f2Yz9tjpg*UTh+Yz5g4dIou7_(sTM2{REsFUNjcI>Shc^ykv;p{T}=x z)(iVZ(puIjCxnm%b5bnk7xAl?_EOGS6$jaqbqCLtUu!Lvb|7A(uJwm+fO8uQV<=7v z5w97}EEs^JHfIMKi!Tq>eY|s?=6j~&eB%RW-Uyn^7x8u3^r00RQ0?GrLXG>7Zn>&c zcZ#P^xiGfkb1MF<26=>!?;o*vUiiIr(LirCsJ1IE+%VA2J*i$2^827y*3HYJaj1_x zdBKkumzDEFsJ@mzcPaDh;XVc#&dDCWJn%tt2f0uY2+qz{ZgCVcH{^6`=dZ4zG(#_*(4xgjrU3LDgZX&J^tT}ra$#tPop&@-wnD^Ike`yVHU^oC)GlQ5D zL@P6t-vPan``~V0GE)`q^?=`!v0taa9|N|_byLG|J@+y1bDvOlOU)t9t{g`!Zx`Dk z$H#tZ`@6=hRCB$m<(!D^@Li$52xt8k`d+z^vw1k(ZvrRYd=K?`ed|PU$u&5Q=LN@1 z=*Cm<8KM63T7ZQzV4ygL`;+EHO0>7Tj)f*LPvz=p;*Z&nqRE1RO_3;18nwH~w^w|cp_B4+}k0AFx zeRs(K6?m^F-rK?z9~P-R-XBB6uUf9)lfg1yZTQDnx9!=|f!x+6E^@$gDm{o>I%pno zcrtBGM{&x}G0HI+d&S7+;2X}DK73HW9ISa>%_^!pA6ZLhqwI_s}bucl|GXYuqdS7Jf_dEq4v4S*Wv^)!JLRcKyKd z=Yz!+e17IHwL;Im6sg@Yq{p$nlk|l&#@s6J_iBT5&Krom0T-R0@X&MkrW0X(>wa%( zp6VB^J=BLg&mw)}rXFcJFC^VIIQHt}XVLdT#Ta7Sz%2a!cx@FwD3!J>8n@#t{K=eS zf3YBmHg*ddx-A?1$jE!-XXmSbv|1W%;T~@Xf8lBtbWA0z-I^?aVoi)oY==C)ApDlh z)w%{B7Hje>U53yh3`ilHqDpvuRLsF%maL5Z6dd7R}ii!GuPlg|caUjSCZNn*> z4nE8h29|vntoiGO$;$JEpOI^SvcBl7KE06+-q2_GxQSR-p;M}ngJUxIAYOMYKQKoW{tA%Ud{Y%x%0jUv257Yxu)m=?@u8o!(5*{ z59J12ut?wC`Q$Y1qkVAO;I(%Cbc^(fj%pJ_T>EnCMz-ul&STz}zKZd_#6tIW@L>6K z@^A%wkHE5B1ONXY#C#Sxr_oO4WV!jv{%T5KDvc4t4f@5nPw}Z)d+gW3zm>-?vORW&J}zc2Q}G7lf>KnqYL6q%Atd@cTV zehjhwq#gWYY^zCkj@90Z{ezY3+AL4{pB4`*>p7k{LO41bzRRXxAa@458>#=l9em%b z+Jtzwh*#aBb1-p?pP4tVgul1vQuJU3WZW@zt{d@*qAM*)jhh%A=+HODf z@5hB||KKxclA7SkcEoGQ5}dzWFZ((Uxl6v#tU-?j7rZnb?-C_{x z+^Q8lG|^(_Ms%{G{csz**GtejAUc~i2#E56?ECgC%F#T_&tb$ez`no$lHY5}YeP8W zM?L8v_Tu&2ZKc2V%OT_SoWp&L`wAD;F{wWQ`Ta!#uqiaS{;3^!N`C}2NN#s|pzy1H zt(ZX^Q(iR`It7o0qaPay#s5b=n zb_Tlr+?o14EZ_crm|udJbB6Qa4%SR>>`OG4^lv8dEvfd;qY0&-9&fs3%k%10F_r9_ z=6lzx=PSG>zknqAf_)e`7p5Tq>eN4~j zBfnr2?mO}aEi|}}JM#(pi8v?L4*5#pG^==nv&DP9nx71|FS$PJCA_@6+72YSi&lBc z^;_S8{^5Ha_Q}gIK7Mb3pC4<=2UoyTVjpR}SZW2z%KdeNWp6nP^9R;AlRn{j5l*-X z{A7NA;oh0c7wgL-g==8bP`yI|>a<38wYT(g%gh!&o8DmZ1%<=EkT z!w@c53ww&-BKR>`%Hcogr~JL_P?CPnW-jzUE<~wjr~CZRQ;BWMF=JiSU%wt4V=jKi zK3VQP;HNSleRVUl=8o~aV5{6XaA-2UZVTf2sVEX5^>`=E&u)&O*gn@I|K6S=T#HV% z)Aioy8ck?Jtv6zaL2QHi<%LOlJT9Tnq9y9Rziop&GIN@tSH9)E)1U$)1;=wA%rC5~ z6#O2hK5$b2^=FRLrPl`PBsU$d)P?r2uPvi2|B^ah^SvuwDTWOr*x&IrDS6s30(Bh+ z%0+{}dY=j=5{~%40|`%w`wNE*@!22B$xy%UZXW{8wsMmrX63U?4Uit8AHcU{Owa`T zaP5gHhx-`haa-v7Tr2ALM=UWPAm`l#^>1{&V{~Vs>zX5tGW>h>#(TOEFS7Bx2*0s> zxcE&f&Gb+oU9uDL-fuYkiISTv=&YX?JTEVpN9&lT{Nep2MprB{D%n_+GrDuMauo5r zFfQ|N+f+Tr8~75(BF6)hm`RU*{FmLL#A4$FM<1vKw7mTUa)C?c{ zYyX4a6gjLz$>@({qtlckb!JxA}^VBc2t%LMWj=}sZpJV9z;?s4xsyS!um$?_J#)-kgp`6h&PkYa>2VTgW zyPOfy=Q|)hTm6BLM-s;r&OoRj zxAZ(qu_wOPR$Y)KIUP%}AE5=&Tn~9MiD3O>gY$tHT{$a_9$*3zg%~r3cweS zxCP%M_h&>T$o*sN(_$m7?&x)02)tAF%fV;BdbSsM1^mAJ4!JA1vyRqy)=7NHM^A#! z5C2w+^C{|^X`N0ZneN;(T6u2hOOp6Xt!U+V=UJ(bE*<y1)}Mhdh701K`skkRhM5Grd>}ym(a0l< zz6)KxA8G>cfHyArLijC_1}duc9DSw0>o%*4dl%Ouue@W(98`i^6^k%rBkVe*0hd+3;I3AiQUq=51$|XdfZ`mU7Rz zGg^51rT85E$_D@T=qZ8C*Q=K=A>A1?d#v)5=11jGCm6~OjLz3QLAf;Aeh6UL_voF+ zeL1rc{Fclk-DRzR|FdRdT-UXQxtjBXpP%zJO|a(`-cxQQ_2W7Ba)|nL>XaI{pKiR7 zX7-}1e9u8%42Mo1`lmwjRQ0bJd_D0?K>mdnZMA}g zudu9t9)$wrwDK%|Zw$7*FhY2>&*3YTz9RUOrEdj(7&&Jx@pK8jMv2+MbZy$lsE%RC z&u~v0@|E1D*atoZ@e#a0{)N8)@-K{iPT!kFjIFo+=tr_Xeh{j^?_n-fi*=0e?35#B zN+p(0O53-h%UIXEbV#Jx2XB6S0so`+z+N^u2D&5MOvju3y0qZiVBt%&_%4}>ZvgaM z4RZh+Fza+y?tDpv^0ywQ&`^Hx`=o2`dss9fMfv-ZYNYvH_h@2QLX+`U>TlVWKwP(% zRh&($*|)y(f^cb$ow{;1_rd5`_RLHd)Vi*JgDhvH1z#up#gE- zHdh^+COzBTzrSrTX0cMfg%WsBst%6VzFW&%VsF%g`+~z#l_Q6IWh(PF7bVGiedkp0 zgkdB;iE{%kU96 zFIK+mIC0_Tvd|PTrZ)%>G^5npWVXVu2R!L1rmv;_Bg7CPV; z`=7iYuNt$tml}M2xo3SABs%i~ir66fE^j2+}HD&Bx~Z*FzthT&|BuQ!Qij(xjyq^ zEFD?9YT#iT!e)F z;d#n$y55MO%f534J%=@6eEZmRhh5Ms(HelXIt;!-i zFWh!M6TC6eH4^MlfQ}FVmrR6d2-%fPYN*_?TbDuz?Go z+ln$kzc$cX1`QW~0I{szFaB9rG z1uuFlXZ16)@RmBRj#cj9KNIx4vAb&oaM8jxNA=raFU$38;ph_|$pgeY_|p+Pc!E7x z_y!bu1UnJm6F$Hf$;a5+H=T*?HQggEv<3JObB8p_N4)b~VTr+R*fF&%gnAY8piQII z_tQ38b<=XGdM-Qq(l3+y&GPJ-M3=bd2A^BbQ#Lm8iS3EDcwVHB>1RL5d8Cw#p%bhV zT(H*pY^GWHP0(L#)1#m4{;beo4q12WJk|l&gIdLr2hwxd3r^XHx^_Vjmc(_YU~=ME|HBPji{i9F_vc1S zFM7sk^a?OH&HkprKJ9eqm8^fYo1I0V%FNt((vR4FS{r!`xQEZ?U{77jZGlhT_5uJ#AGWy;<;Qx{L`im%P#y~Xm zS@3+kVs8X77BB#MCF`p`;QhMsLJWBq3j_Zz8nmG?4Ci(@AK90>%!=&USU(o|H1?mO zH;VT+^R^clivjS7{541NxU1kF>$7I_xcSQhgp)GM`HjIbl!)P7C>*h|`+wUC$GtxK zUx@Q)k6r0oHs}m6X+Lzm;S`j@28d!q@;)8WBgi@F0X~wy`(R{f&U9Y}E$0IW{bHa* z`26~ZS$lF<1qk===Qo+k>ve%YnZZJi-V}i?^|Q9%OGB0{0sogVtV0}f)t~v>9iuM` zhHo9!rvSZj58o?x1?qdQ7WQNNTVNFPps#DaSh{eKll)yfPsbjM_f&m7bgwkiqTHIH zY1-#B*T$C+Q$CzBB8grWz>qR9kNo%_2+Ei9 zb>>^>`;llGx$P&M@YrhLjZ2WzM)d6^C(Y8UIDaMbmH*>SO_3q}vaWgRqsx!f{NR}o z%|TZwHDo_L&P(Se?30n!czy!B3;fhyJ*enT(tkM{_j%YEYc`Kn{|V;(2T-XczF&V0<4-T-k?)00+pykVa#;`ep#Oynj-I2(llMt?LTM-m ziN?9mNH!#lvXj0JkDOE*#TRL>Rs{FXf;){8mFIgofu^xQlYH6WasFHMi=jRF^ZynF zt8WB(F~MfkGLf@C3cM?IRvvFb1kGe44)`#li*`*{UuQ@(F(0p7Fu1n-)43e7V&kC=`iK$Z`r>>5p|ube*w@B%xqo)i z=jbn6Qe~7 z9;P~z1n(MYi0y10;H00=Tljmi&*i^B;k}>fA5Q$%K6}GM{V6NqV`hNj5%5>I=WVkG z{TTS~m;=yX#HT$cO>%Yrw7O$hF{o#TMYwA}*~Sq6wa%~2)_EOzrCb9;e2I0r$$3fS z3E64@^t&U_b#gPox5PfFxNaKlV6OUS{)F_xv}M@;upQ)a2OH7*AN*^UKDc?mK^KRt zQ1x1ofaOYk3FE=YN zxL<1AvK)E>yw#(VVT2ER^`}Yb^=93A=4(TI;^^ZG-}^4V-m5eYipl4^~X)k)p=z0U4!v+`!MgzeFeE% z$@g^`L~O^MZV8t;$?u5=IhDIxr~M`PGU1bZbPYKt0aJQVt0)jdA6bay6z{FjD+P#f zTi=h+E2W>La*XI|!K<^?U-k`h_-tq&?5li@%p~nujKzHnAD{Bk==TN=F111$onf#R z_NXan*}d}57}fopY>0bY#$kSwdc@_J1H|}UXfW5q26Mq8UeNc6RL;{__+h}!|GGx0 z;m-B8RlP)C^>uKNxn|lh>@V1d@w9{TLXcxvjLg3d7C%r9FxDw{^qp3lyvhBQOp>#*y+Z9b2utqgK#7A*Yd zFQ8Y7e{V)KIit7fX?iZ5U(6@LO+y9<^6nCk1b~a3VOuZj{{zEiYvTs9cmAN|~(8@%SNE`5X%Zi7~dne+VPSi$ub2d6)}izH}ly6&p{?&eL9V`1u3)IY;i8b3T#K z_nF%gc(TOc*L(g53pHV5$f?nk&>oxKP@K;^r#Pi*zNo%0C5(ncv~QB|OrBy7%+E!g zzWJ2R3t0FqgBWCT!jG1sXS4X(80G3!w2|JEq#e*-fbsoo9eTMXAYEj*gO8bKgYWMq z64m`9$!##cz`_tcuMZM2bn(|GV+u={;mTt#-W2HnUG?sRL?4w?%=gm z#SB0H)%aT9hsIJze%_7^*510V_}>8s)MY66mCSdJA0eOjg@dyxg9}1;j3l0~yEKQ7 z(i(-f4ddw+_r|vhrfx7yEvkY(K8{miev$JN`(&1wKKdEpn}gqR3iq*ooLAd@!9WZ3m+KDaP<_<@4*D}pa{}Px_uyKE-(MT-D=z5K zg&OjKu*H_J%}mR$mrcUis^Ugh8Hh(FVjSg);NgVh9Zt+5Lwr!+K+WLZ7e61pKL=&d zP{f+|J1s80^_%ZzKI$|Zga{RO_y+R)Pld*m9feum24B)r@N;*2CKa>v5E>j*9eWXV$-!RzAz z3fzA2p-i%n^hkf3CjF$h>9)Z(%4_2-RD>Az7Wge??*skCWpd3c16!cCm3ttaeW~(4 zKSsA3l0@aX7phyH?k@uJMF$=K8eDS7J|hbK=mGCjt&x9`f!;>;-rrm_i;kO(d?UxZ zAu(w#2|A!WFUgVGw*dWxuRnX{lp6AVBzkF|fWL#}+fQ#pUWSbkwcV9lI1T3u=Nt#e z64!$4{qw3Jeb(b*gvms z@I%TGf$}tEA^b6XpRRh&N^*gpZlaGF{VpqO6Mdh}NS z3IC($wITYTUl)B3KenYRTrh<^z-XRVoZRReHq=9}zd!smI3 z`4#K+SqbQWU>_s;#KkX!=YZGgtMBIOJcc~7^lRYj2tV{s5AtT?(LyI00Py#N*T^|l zM$-Hj{gM zlaeTmffC?F-sgL52J*=4Glk#zTV7PaXUKX%81jRYA;+}Mw;{wT2b`#rEV{y_N4fM7 z{aR-(6pByLyEphSd@o#C)-N_3`4<6xmKxHVxztN_qN@(lJG@T=3wuigyU40fM zQ!wi#M`ATMXS!zCv;O>RtonAmg0!za7r8mS*X#ZR{g<&Wm|ujW1fQJrd@)Z6T&Bs>j6V@mI(p8Y_~X*-ZkFbE z9R1Y~&}tZ=2C)9z*)H0ngXe|yr?uFR2rp=LE1JMu#7f{@WZ*YEE|H|Z?(AiQDJ~O^ zBbUm0&4plkwE;yJ#mTDMLl5LN=%N;#rO)=j`w02DIz3O39%U!+EiKILPJ+IVdeYC3 zuY7>@@)q=4aBeR0Z!1az9{v(~GwX8kOzRx_Rt$&*Mr$10>#jiG--L|?@+Q(JRzI*z z&wOJ@{vFRtA+C>II#r?|24q36tG@`1SiWu)z`>?46Y*Nz`|sh}3+7v7aIe~#O(yM` z-seLs^POLqL0pe;qfVxr{|Bo0%04-*JbX?ZM7xZf8uke3O)T1r6pS8l9DA*sc&ksl zpP7Wq>={SG0mnHa^XH_y#^)?F&36)BtrvVGUNw+pHU<%61mdQlM~3s)A3VzVkxtSt z<<&M{_bUxOX%rSrNmtS9iue8@`}DH+@ohu&oqFSlKi=%r+! z{5W5kO9Q}DstDlzpY!t6C;tQZWAMRT0iQn^_VT|vqemO>DYv9l{qINMdEq)5^ouR! z{h1?l5a^&&9~K*YU#u_!{2J!Ao{ba^U}z!ceU^pll+*mo4lm&#ZvWST_&T@^`)mBw zyY3k0u6+=g_lL1g>=Z}e0894q?KOkdzAgX7k{4slGJ@pq`rlIQw>YL+6aHqtr+pD7 zxuQvSIl2#vh$61vs%XM}tuKfy=i^G!Gt^j&DIHt}Qa)rCrWBW}* z^z&Kv(rY{7yDYt*V2+a*OL3^?nmf6uZyxgtOlQl&_NHo{s&gy#x$aI-|D$)J=Fk(0 z4awclK@UCZX|FCvZ`0G?jvZZ#J~iI|IheG^@?0n7#QhRMjDxC<`D4J$AQn!b<5A+juxM2 z`_1s}g3r7V=R^hvHCsck zi-Z0icfps!I%_L;+QEJo@E)1Y{h$x@e6B~Yc+F_V#?=L}Bs?ADUpn)Pc{Dh%XP}tP zMLz)h)R3mA!M7e?K~2`{o9zZ>s|Qa^k1h6D@tZZYOi; z3HlUlhTbqjfsOfL9C)y}P?=X|Q63i&U-ToSe@)d3LUoTm#)U%mKk1Ruz>XMSHRoa~ zU1Tsza4V8tAmsO#0(;UZHj(UQVGRG+>hl>@mz&i;wIi5h&fK1??=kSlq&Ks;6Gii) z?2icX^+xSak-frjJTKCBH87gAr`sULQw&62O!|7kPZs~zt_0!7&IJ$18rL+REd|Em za{z0?&%gdagWEgrhN_F4E3hdLw7R{~&z@kI^3wob+k*i~XOzFS*;+PLfxca~}ChHtt;yq=h^{Qn>cb zTtfc~>u+IB#5HnNKY%B}3+m+_lHd4xvW2!WaP>hN{RvF!J@h59{PX;TMf*g+yO5mi zp=^rbL9Tx)l`!|#!-w#Y^Hn$d(mXe+=|ipSyt^9$&}kNP1u z*9&~|+MD2qX5PjxBZ#l53Gf*vqUUJG{gH%}ZDdaWTmn3xQFruN^krjcL@;f{i*?R7 z&`FU8p7Lw7>{HI+x%U$wafu=P?sfLUckj9%eM!9M2j7xwFk3wi)&A^FF2d(;08a{y@0(f0Jlt+3e=fc(4kpITPC1lJHGz}c zj(x3g^TCIa`{d0CV$8$iKT@;EjQF-lqPey3nOPXa3%P*;eP` zDcLm8KDA*^pquI(5hlHFZ5vM9E_Pw_B?JG~Ry}8$G>5&)N5Age4DG9}mZ`aNru-T>md(N`@j#5VN%=miVnJn`4w(hK?%cp#$ZS;vV_crfy_l8@SUNBX!9 z*K-m-?k#-or03~HAU$yD)2`;=aP>!)^Hlw6qLcc*!5fDwpiM}zhw=l!>+6GikXHrp zs5w}058N3p^aPiTeP0dSV+hmm&#i7}%Q+S?DwXa5b72VpH$7diWTi)$0y=epbuZyl1kz?xD6OYwqd{co*Vtx@NGA zd6Yu5dKmP^%jfh1A*#=S*87$uza!#gpp-2Hm+Y)SfS+DVa zeT06W?las-@@7*^dLRF5xau5*=&waxK=m~yvgY96Up~aVqp-~xy07VzNsakE=in=T zXlw8-nYZn6EkNIAeek?+P(LYLd0c(G)mIKZSN6`nam4n;wuf_x@dz>5!@uzht(dX?{EAZvM(5V%Sh%w&vWRND1`aJYCIk5v1#
KM=oyuYNvWJ^7|b3EmP5pxL)r({QQ!i z9$efnb`pJjpxAtTlB^u@H_hlbHZu6c5X&@?U1HU59(C2o;tP78IL%|t@Kf%=_IT}I z9u`LDDx(>^ql@g!G%`^~5mr+q=6BgKc`A356nT>D+>uEDCs ziaL&z%ed6%=;K5EVTOY*p{22XzsV-;tvlF(%JB#InFDd{M@V1%d#ul`X(ODKIbJEs zB`-=M?kjKk__|So1CiK|oz4RY;#veHASluvTs%*!7E2D5PNI3d@4q+}2*l)AY^y;j^ zIFHNFUm}1rUkCm#^O@}K_>+82Qa>B6ynqUI6CPlf1bgLGjKzM84f*3+=>7L`G^H>& z1N=Jv*ka{nuy49*B>XX4TvgYTJ_7rFus!^i@R6^1o1uHsl0lM_yoULo=dTp>mGF;y zQ37}u{NfIaBH-7$UEPm_uZ454Ax${B;@x6fNe{!Kx4iAZHn*|of|dRei*kH61~YOmKcxL@y<1a zV>wA7ar&Oe95ryOx!yGF$GAUqOLCa%Y(0>F;kn>voG*}%TE0q8L6ZXj* zFAT!`k`B)OJjtT$IirUw@GG+pLX619-!9sA0!BTVHxPg9-1?WqXa}M)Mr?f$9 z+n)5M+1#JUnb^Tm5zK?-;^SKjxt4$wP3lIlo%Um;Od9VGn*C>0`UtLAV)J zA3A8y`*8HDaIy1=HZ+WZ7#{FVuY5Oo^VOtcp8a)$`y=Q4kw$lbcV7HDg7(37aM=xf zOVkUruaua+nM2z|lzJ9!AVBl3TVUiC*w>oHczv z3=L)QUH68OWma3f=OLfBK2TtY-uDAIY8)I-N6!K8liv6X&!q^@i^%6w-INO*V6Xi2 zRTlaaw#TgtTBxq;4j&0G1ktbU$pXrS0^z66O$b$fs*@+l+8oad*N^(zLMPw?PRAhO z0&a!A&s_B>`$C9crvp;4uj9cQd1S^qdFA`*eyTI_alEMM3O@{byGFrpD!ziEyM}Os z-`RPsdy4yVOp5(rw6-e{(GQVbR>7|lX*;c zU6?|Q4_kxzh2`9dZAtI-$crH@g+;KH@;}~3i#|1f0QlmVLxRejH=H4`{r?t7Xm*X3cT>cbU=08GP%RPYD6-{C*A z&Z{kZk#Fc7heQA3UdsCjQ>yL-F~9I1cQ)pi?>KLU9Q14M1Hk-p8192gi%f*nZ_3b- z?!r<2X+WInil-v=Tz-U{6Z$xOs@^r8LJ!^h(n0tMC7~}%{HTVn@?EEx)GzQ)2b~9> zJJA2opV4^|IH=r%VB1#ne?jPFXI}dq^s~UfRXhELQ4@l6WMP{4RjyVYMss%6TQny$ zOXrUkN!oKV-;?Hpvv3M~F81@8uum?4?XNfT`?6<_P9~&e96tGaslR$nl5ngCWLQh? zsB=H`Bg0-Weqc78gluemuF&8XWOvLj(&PENnZg<1hdiG6(dvC+cWhLROKud)1ssRa zUx^;fsQ+1L7hb#7ueDH}zI(KC?eB)sZW#o@>E=cBGVGI~@4dwQ!q}}bzS-LQuql(^ zF0{{#3Zel35XS~*if!YTPt&E zSK&9eOO(B9ROA;+l}ggj{K+O$_*qdMyp;2UeldPuS6@|}3)yH((i09J`&<_oZa+2G z`}e9C^|!gl(l_$gRltNGfFcJX`@wSl1o^VU{ipHDf8QNO!YP>OqJE)x=r5da{UK5M z=KElNVG7UOTjAuKS~zf;7b!1oPB{H31s5e~DI4Uv#Hdc1U?EiCVSGg z$7BzXja?*!_#?3RdsG(Tf`QL1q;^LHO2}yL^OL@ z5M!mPK#<;)cIZWE2YZS&QDg7Dm#DEM_O29r0W=yDjmCmr75&Y%7T=eD?ilypVeoMF ze&4m`oX;eVHCj1K0oNqq)ONWyViznE2$ReFzom>Ak97w)$(@ z+v$6@XSDhO2BFWQyti6%KzP52FLjTLoSR=HfrEf?$`^St(X00QDIaA+29*M*vlsg` z@v9(TDLvs$qe*yKUwca*d^X+>U-80rML0=+*#-DSInG_P*x2HVZ*muF8V@i<%{Cci z-3y6naHQG&-ReMj|I4Y4njdtqqOX~k4ZT5Z+F#phfBKsk3gp73z*ypW`@*RkhUBK< z3lYu*dI8z@@ZY!NlwSUpfsF z-7EP?vhZ1JS5DFI={@jaBJqL;uTT3F+=<&M0us|{1XR1y#Pa;haA)HB4#y@Y)g65z zl|w%|M|06BMaCtZ28YsZ=w(uF{(wGa&2umIRK8(pfcEGOaumPDcQcSj#yMtH!L0LO zQBUbLE&eB2xT5jjBvD-fquw#bAy!b!NF(4{CT3(skQFYjg?Zp`F9&cSHIc-&e$Ry( zPO2PnvKM*WW`EMKvtbHMQQ8DbJ{L*KA$ z(u)V?KiEk|BVXBojT&>%_rrOjhCb!FuMY-)Ji9ZUh~@LL@Vdg;A9+2CssZ2d*#}!% z1N=?or6}z|TO3;6i+RNu!2Y}iAzCjtz=c8)5Ukw|IUw{QHoZPcITp43M0c1A-;>O# zyMl@FS96omZw_9`<%B5R%OCTif501^|5f>ZWk5I~#nQPt=6zW&d{<-$Z)I<7;uyo~ zo$!xwa0>phOkh`*HT2c*cN+39TmZQgeHJ*F#tp(e4q2<}&aO0v^Y05|gy;65CwdFN zXNSObLwu5PCguD*@FHM(_y6;29ObXBmykXwlo*RUa*%`eFxu-r{s-h=m_z&PtYpG9 z!REJJ;0-Vk6!}Wwn2f}Jj05QhEOZZ=A5BR0PrvJxMO+JFyw5k7YgXf8mh#L#_$wz3 z?|I1!K6+&c-!87N`uKjUO45Jx3%FFwF|B2*y2&@_r{Vk4JzpwAJ>YIrp6G4!EQ59b zZ9hzN5q~BNSN2TJ6k?lO(}$yoW0R%3OuByvcGtW)`YY`bTkVttUA{gVmt37m#yrgX zCHUGl1V0(=pTnQr%O-0HYTq-&e{l*N3oa5V$RRTat4lrfxsM4@4#eR;#H}tzz`>l0 z{Jr=0+N15*vM1qNcKZN)c)~3!fxk-%iEionx;d4C*~n=XK{l}E|F26XHA2mGd<}5@ z*f5&qB7G&{;JVJ|JkcVvoWt+u=MrPSr$OHrPWYGT34(z$H!+cZmOv2tEZ|r7Y5|=Z zI`Ycl*z3ZM@ZtSsd4ImH4~_(C#~tF4r{#dtLvP({o%vvJjHv*6rMxGD>+0XDAd95W zr_7e>qy8lZd^@BtR%A}cK3R$m$~lU$AvBVKhP_-g57Z)CeXDz3>aJPrMzOLueiDdow9D6DDm3A}J66PZg2^UU&@)z2<^E}f!lGMcQsxCc6MZ@qtVJ>YYTe=S!+$S%Fj^y+R za`lVVJ$KMGqeF~y?=9iDmjGj6dI7zX{jPXk)&pZY|NBsyjQYzEPX}6#wPFp&AnhA} z9k0I!_)MhVZEu+B|80qOGcW=3{wC%kRj5b{xZoFk?7zd0eQHb=F^=%V)I90sXwuYdY6Wg8YMc{qx@(V}zf1Im|(62mgIA2VSq=H28IWds!;6 z{NBMjLVEMAbj+k7>$Xn(sR{PU+;=h4Mftx)u{5U@Zs2Ro#2nN4;PXr01@>dow+-Fl zHC&-9Cnst@{Y*=`h#0E@AL(DbhaZwn$7Eo;Y{>fn-$UU>tONg-bFXFI%ESKWgCU%o z-A*JmH8FK1hZ_ALOZ&6C*wGUH{SJ-M{2uyV;snf{XJELTof;6LeE#7s%2#cRy-7}k zNt3%GXU%bPM?YHlI$S6Y${+Wff&d+~OqW7&}WNL;v4)(RCA->x4zPlssmI1FiF@4`L z1$hrHjCHXkY^h8c&0-1k?SGfg#(#1y?dml{_B3V_aUJ-k8s5Zv>(&KvG`TGZ=ler7 z&zj>vS2&R9A4JlBYm-2|5Jc^~Jz4qX7t!a;i$P~1=iZoP(8DHrTA2l*b5YI}`oyKz4*ivA zU39qz{Y84swgwQ_?6sQiEbr-R*dN-V=W6jwL0dRstgzn4Xw;acQAlF1<`?AGB7wtW+Vbb2jeDpa&FsO1kSN8+RIWJ=% zMS>fp@)zZBBE3WH*{M~Qv;%>Vs0k+G42 z{JvIZFvhD!sgv-{ax2y&Y^D9&`(|q&Pqv+MGY-U%$JXav8k`BG{sN54GtO}UcTosk zYXHZ=T+A;BivQFfIaL6t0?uU+w&MRSnCnOX!WGg7`F*Zm`>lNlNu9uo9L;Z*MQNWi zc(BZm^Ytu<-4K5G7L(?z?Yz}b`!D>K3?R4{ zs=m_=4s?Al3aQOO!pSSc{KDHPYv>w+Uw;@TzWIZ`r2K=GVS3+vZ=rk1#29J`7nsu= zW2jtvz6O0BtUy#dU)s@z3a6hz2~3zBXf@+Nbl9u7cnY}g1Cq2s4ZP$ zexPTV<~FB}E8i338@P2IzTp}yJeXDX!-;XpUkpgmy?_<^RQSD3F3PR6iX%)P@9!78 z6GX1#=H2P)=l&x=`C~sh6P8~C;-gKPOYIR!xv1rt)CazOE*u?RWFQ7v?_87(m9!2V z8r<4U98dot%9B9vi2v$Ffc6x-I4bXXgpIz3p5cAT#-4t?NMdgGDdJ;#vK6^8+*`*D zzGFxpzi}FIJ+*IegmQ7$W~xsVdttf%JplI(?H`qTn~3RPOWz{D&w!8XxfB<*zTu;V zNd$^gob@X0uj~dtr{wovTWSvMC*(4biygTjTl+~$E*s26sD>O(6bJEMgEx+S#OT95 zqEnywv&@h=^^3v8c&0eJdc<<_!s*EKaN+X>JL39JQ-fI51MRivd(5Le6LH^*jv%v&=a_(oFT;wNy%^uq`=z1^?^vDpZ4ZY+7IIl>G_8=hmvP6-?578qOEF&w2Z*u9wx39spll zuYwh|9-40MikuYZ3;!KstA33BvC08j6sw%u3D*tr15Y*)en~rSfAmtG)PXqaGP=OO z@h_ny{fW4biI3?U=;rW&{Q4@Mt^ni6eMx({7#i~n+95N4YYsmQbCJ-;Cpoj#7Q}pj zanP@%Hy9ie**E-^XYkKC?@Sh*g3W!zTYqAFPWU!=)uGIrCrl!nbv6hq=RKZu#Z~xV1Qc8l#U7 z^swmyk#D~oAbfI`uOR>C?_iD2*Yx37p728{?8j^?^7wTDK2YSB^^%^hEXxjklH0Y45;T-Lo$Se@7N@*Nu*MPxpUEA`=jl;+n!v3LG z$?5|bosq%J|e6FYQyokO#9{VvYR@Mil>-{=4fY`=3%fp!>5xkw>-b7*C*NeVa zmK|E&%`VRm-8BLjU*ueKc2p13abfM;0B! z{etbqRd4oGem{CP#IJ%7~5D&`eDwPM+@-0I0M8L zgS;qn(c0C^Gh~n1!Auiwc>A?kfL;)m{SSC6Pi5iINu*4*8J#07Inn~-taW^ea=5%KgK@n zO?k-MbN*syuXQFi$o-Pc_nm1gy#5W|=xOJ;?`E7Y z7aIXNc->$dveitJ<|8Y3(-Ht9`$OMn+j7=U^u6*6D8WJZy>3C8KdhJ_{h|ePFz-7f zK)p3g^bFW$bj}G4lh0wnYYXi)M?RHncKuWE`LLi{SRj1^m*FGd!`KMuFYGI*{ii#D z_U2i7=e7F!-uBge`WMycci?*lbkCywJSU&VJl5k`Z>OPQw2V23y~mY5FZnv}cMB%m z9@{ngY`E~)?_hr6Z$m50FRgF=FJpXT7Xk+I)aTbt^a=lU(Q@P~A-sLaO;;}5@&MZV zvaBE_)mie+&7fC)i`uNQ$0ms1Ver#z{d=FdXJm5W#ar~h030&?KKSs6H}t6FNuzU4 z6rTql1~Ibzc3(JZ-tcC9s}<+ujVP@16wi!oEYXv_P=d3#5KRc-c&*= z>1Ovj5yCzGU)xNb+j=MJc?`d$^z*!pC66!Sx_`UdEcd#|UvlXfa6Yv>k|>o04?oQN zxow+WUX(~^g)50&Ye_fo+P=}pM2PD*njH#$pa6ib7}!ePoG}XA72t9PpZltesK%*FIb>?68Xv(*w^RWj3UNy z=R+r4gTnEgX=dfJpie3ZvV=eUroy4IE;gQ^wkq{~ZShzCfO%i;A)VX^u7={><9%tM z1dlpuzf&VC;x)>nUCDahoU>IvgE>}nr)Og6>LV`jzG3jwUlYC%S&V<_O~Jevz6O6X z^XzV7e&Js@^cUf{z;B5y_HQSlSIW7t3He^ccQ&606K-dQ7imxC%rMoJo>rew{bt}%Q?sBYO)s# z3BmKle#we<%1=ziUXG2YTgFMBNcAQ825wVlhlU2LZz^s$3HH}1MS472f#!Y8+pE8ynqh?n1*%JdWoNTEBeko z@z=U}I!QR70rl?~6#yu@3%{lG2@Hx5Ze_#pO!>W+O-R)D`85~K4`MIO_kClQZZmFK#VC36lgB+_cGtJ-ZzjWK9@Lr35}#eMKP_n26T&NH5O@6vP{ za*DieiG2zVHQMbyrTWkeTr>CoQD&fxVXqbD7vTa})ze(@V)U)SX7^W}ZmOfVM_)7d za)IL@`r>Bz#=8UDb}WP#SM$GfF2rur_Pw)-*Z2Qb$t3YH?e?SR#dGeD9G@Y%Zv%OM z=ITVQ%Td2nJ8<%u*V)gTgwt{a=O7o2?h2QF!O*8>0`>w6%VI;$?^f2jN2;7bJocVO zzEb?S@K5nIWcs;|)SG*xVy#p^`72p{kk)qUbKMwAtgE;AE0+B6UU9v7!{E7eL!n9e zu4BDrFB$kcj^=P-@W)VE13RVNIR|pwxTwY7-v<#+)lly~391(yOD6FX-3}AKC_i?h zgKWb-nfq8rRn)m>1)dk!mw(*(|NJlo2ImHbSIgF(8#m;US(hE@p?)d1QbY9h=KVD1 zvZfj_7VJ`LdH;AjJKd{wEAJDn=coGYq(Wm8aBBrW1QYOGP5Vt5PQ1o^&_9LRK3;TY z-=!4dTuEq07ZT3NYm@TQa1Z47>w5H+xBdCktc+CwbcuOK$S0phu z@+I<1-y;U}zvV>+Qu4|B*V_>rsKgqkps^ALh|_ zf=Tw ziNv<_7)w|26*qw(ung7qoLWaUW*=iQo{TZ|v1d zKkXA7lR+F$Jk%+KV7F}QKQ%}B@+DE4)2if6xc&YyHdy($4b9=|FUI-Gy_Tlq#fI!_ zAAt|Uy2A2F#MhT?mEF`|(!f`HAwxQ?b?O3e( z{7zgmq{k7x4kdW3A2;K93dMU&a&L(cEVyi=X@1 znlO@UM0@nTvfd3o|1dUouCdUb!wNC9o%1AF@U!r}eL#UB{@=^EpD|FUVgRu$9RIt! z@HVF3eQikJKxSWR1w2KQ3sr?9=H^(=TmH*d@4J^nl_RoXoZioz3k>ebbdL$v+(z%= z`o3wKLK!C~Tdv549|qXoi5A$;Fevb-N&FmH@$T|GUkXd7v#`-*=OACe50sy?_AGXR zAC<8q@F#Ph*I#v!U*da2>mq}D+y=I{5nfI2t2xTusO2f#`E9t5ajnof%rB@hfO~(6?IgQ7>)yL;iW=O7ZjuSP4O|^bp zU3xq6eA*7|3)*sE>ZKitU)wE)rg-Q7cK=Oid5=M!0eWJa$16jKV_lyo!N-Ha_eYCt zI{qBsa`ZIvwZXfUpXR;uCsFP5SMI+#8ca0-O8yT1ROZjMo*kvUoZDUmndZwyL(B6n z;DIo1qQg$J?mG_^8^VW&Kbh~z-|U&B@9)pth}T$Cn)njTjTuwtbkzOwh3XWrsnX1W zxGzb*=8UcOl_p@H48LvBxme1TMb-_YIbX^pF(8N}c_T=UD=i}5x1(njboj0>yoLfDR+ zJa@uGzasX$8hYhRU_|mKq|?~Zi{|Cb3=kgq^l)e4@ML~%BG8!AZx&4u-M2{{z#TaokNx4N8ZW_Y?ykC4NReK%VM##@q@$*bt&p?+>@PTpv&l(q+UASdwT|6&` z(EF3J$}D-B&u8S)abE29Nz%P6?jbdJz|TyiCEP!qVyV0y>@k=-z0j0R++sIx$Yq1C z!9(rM#BqiL&@0P0M_A-7Jw`^uGK29M4kw+cHy;qQ;J1W7XGL5#ZDI~vg>KY^`%Ldg zD-ZIkuyS8oz9C$<10f`Rn$umhN7gc1xia7<`Lpq%kDu;mZ=#=-=f8qra)*vH2K?kK z*x<&ljS|01-M_u)`}R+391g_%!iEi;FR~Yhe+()%2pPr3L&O-)-mOhb0YrUwb`qUn ze<5<&;;a4ImmZ7+0qRIc)wv&6*L_WKGI2d#z2~-+#W7$!FOuUv8cSS5_eaDHgWbX- zPnrm^%}eG{-sFqiebE`@#l}7Rm;${?dfz5H5abEVvw=a>gN32!A*Z5dcD57zC)~T&z=O5` z*SmjYsUf_J}Ej_?ff?fSz^il~2VROF0ex$``(X-PF zO%3_OwND@A&vV-sKzO@vSvu31 zs$%#jMDX-oyMf2f@lFIwBZX4ghk5lD+D&+u&Ug{Y^fsrjw|L&McU3tzL znW#CEKV0Y*VsU=ZD|w9bJ!aM(#MQaf9Y)3BE=j5jWVn&`gCr`K;k+ez50Cu1ODOi_ z$ZZ8L%9cFyrk3y#qp#c#-$SJFemnO#h}Hv#`!dLfW+4~RviV1Yu|LiY2UEf`3>p{f z5^vi+yOu5Q=VR!vy~Re?1JPv5dmV64x-)n87eA77$RUG%;4dQXW0#m$J|BMmxk#GUjF$KL(hlBahVd~B=Sdv6a=!b+ zX*J{A>*W&HYMiqwF@%@a!kV5mcrqpG^(5hX%oyXQJw;~ZUvA*ydc33dl!sZ7b=QJ05)MR@io|R08raA4 zpIhq$I8_1^EHuoFkHNhEH*?;GA#cJw2zQV2zQa;OI0QBNss6FNn&f~-!*3=%seSCk zcltwMsN8?&pYtQMIAc^VG@|&TQYl2g_x(pu{*5z5>zAhx%QUa1r>ajE{42IEgfxm% zU(7%5BsJ#;(n+{gR|B+%e512)C1%3E4OuX^gGVGSUGO^auPHgiDIS|;#fJ1~W!lL1 z{ub^ru;1i9pXN!|-ob!T41J&H+jK|uS($Ap{bupD&w|X#<@(&7E+Qt`eV6VdRzAag zAwbc)hH#SI(qvECcU=Sx1b?T~{7f=~KJ7RqQT+_hU9_Lb(L`6a4mdmNxtaL5zI!HD z{m#fE3!iO|8^z#4F!|3!{d`N%mjq+n!F9-SZ~^J5Y?A)JmdIJaXx{+7MafNA1k>-F z%ev#E?_bRO^}jgtr(ru-`E^e92(I2qR&8^XLzdi)>LdP?Rvb-|3j)_z^GtXSc~9#a zs{6xEu6iH#MJ^M()`n9smvQ0JV?WCLJ^FgDxfvw=b4ej`@0@cmhoIs;`{*0393($) z0wsOha{PVUuy64Jco(?djvSm@{&SWXoDck^r?vKd!oSI5j7_$i`s)vYr^J4uV;wb@ zu)>Pk!B)@#@2y}4SJ>KV@5;VdI>EZ&^H@En2j4QJx4Ctk`t8uW#xj^+y?Esy+k}zq zHLf`juSG7b1W)$`0xW|Pq<`=kxL(2$zXd-(pTlWHcnq@IVZSW-s>&7VU)UV7kxza5 z!FIsg^VkQo-uPvKVFkYPqW`j#-)|qFxkq~s`V3#op6R6qek-f*?d_|++v$ge>OR2NPwyY50)ufj{uM(cADsSdxb!wBA&1O$i$niRQGR9v7up+! z1l$w&*;z;X#ho}VIoX^}^Efd7OMv<$qQK`zY^KUUllUqQEsrFQ?XEwCol0D06&^@4-+0yQ$^QYc`^L)>v&OiOWaWYrkM=igL9& zCDRuz7OXn;?4Gd*GS=Tq()2#|HiF_2FTPQnsk+AgMEyNCaiveFsWk_f#8>OwBv*CJ z$GJ2mdH=K+`1ysCf6a~hv5;6Pi4Kfx-Ff~SORCO6SIql@OTUb~m<*J8255<6W`rV_ z!2V<)tzb-LfsQ3c<1$i(*zn~po?Dj=#US?;Q^b8)p zk!J*3AaU9;RQ(4yUl>#Qk8QSc=f-6a$2n$2`bl3(!!I+`Z;AIF@3Fo?@3Hi-T#VB9 z_FFIMAxs;O_YUW!;pY!Uu6OY#GY#e!Wcw0B_ILl()_#LElL&w7eXWr*75`mpU$Q}+ z#bNL**@n5gw7U3m$9$He{q-kosXBz-?%4AMgKwXFFqVE0fZ0uhbDl^PuM zmVNw{i*b4nI~hvAZD%b)pSb89V}hiw^TV5X$+=g-K0$grR)i7D6_5K6A(dGDE3Yu( zvHHu07W!VseT?JmU+&E!$+g2D!Fz$St6AE=TO)uZ9$vvi{SiG%jV&c8&iJt}wM_&0 z)T$a)v%GZ3c~O@7Nb1{ZPPB@EZ3FjSp2OCXrCXS1y4F{);{Vi=Hr8n_)XpZhP z+7=r>JwX7WqYbS_fUnQJ9PMYd_tg6_{v6?CH+7W0`vUBfrLV8QnGpN9Q+0hW*{f}@ zpCWw_FOML<58vRr%6E+a_?~2!rac|oBj^ss&X;{Mm8<5ID7nPKo!BQ=95~v(ELMAR zH^Co*1^wlPxw5C9_;nKTaj-hXjg}#%J?n==0^KTi@3)q;g}JmeuF#22M)byeTG3SSd1EWEoZ&tZPF z_NJT)qrF$zFqUsfUmbp5p6?U-hW_Ou^WR4T^!&qL#`3?|9zZ;qQ`Fvmp#&{y4Vj&@Tu64y$$9Uv^ca) zg#TIghIZgev5-T)+C#p%BQciH{eE@f92PZ8A-P{8_a^gSomlGH<61KxKL8T(2_mSjy_)|oUj1I+^NSs9Nf>dx zQ!VsaRNy={c(6WPXm{R%?!mo3J2ggmXveZt{~w=kur9acDLAB@du|z^d;TUK+JoA( z)DW)a&A#*uHPc(ZswO#~m7B|Xm~HH6G3=pR(C2>UG>R~e`;qiK4=ga^7^K!3y@~95 z4je&0GPi133Nij{XYW)J{9!8>VhrDjx8MnhA;z7i^Zj^sI&ti#@9F^6EudGT#kB9Q zK_=p3{|Wps;o~Ts@VSv?)OSXwYAzcf`X+ zI7I!%f|JDsglBundu3hK6uBqw!~F7*dBHpG7(R&Q{Wm0ynsmiC_*Mj!!YA7T^Ggo= z=xfm9!u5Ukesz&P+?SR(C*b4F+6Etfg_GUG7w6Im1hKb(2g^A5o3U=%qX4~9@{PzN zOK&gcGHmZMPh+2~{gioz_)a{``tSWcNS}ZBEtzvRDXYwoz3dw&ZFKOheTsZhG?|{GTlAj?yiu#lNv=^XD zhTMDGHx40=>)XQ5E&HHHQJQzR@g`Qi2Q7pDg>#7~!nJ>@OD+X+edRYL$~UiWt$ND4 zN!r8aTQ&b;rVki5fovmXelmDuHBPDL;B$0yI|Ww zo1-Jd-#PnyinPu+E={F%TwF20MfSYI@b{j^_jmNpaDK7vo^zFV&E<31+- z?(sI_m!3S^tb0r+d+}jfcS)gDoCAHAqcgZj9Ac@!pWV={8@Iewfo8iSerT{#MdMvIO(X znYk!@p9-G>TnR6a#S+u8S0XR?u+`zZyT;u#xZkU1l{oFC{?l80P6sQ+Yrh!gm%Kg@ zDi1gisBas0&J5E0nr#Ac3tcGmO5p~a44I_|qXCP>zhwSA?IhPvWau5UlWMAfFAFL+xS@@?c z?Wdk)M-Q0)h37Pe_t)M0%X^^<4AG+_LJ006WbOy#;dvkZE&50J z_!|_b{;}E~1nRQ;foti~<8}0Y0R6#+rvtiA{)D-h_s#C>BDG&^XO8-JwiOxj`5wVN z3&;K+L%_p=E^u?dr|M(Yf$9fZ@2I`ddyub$+)!r?e9YXtRc23)0KL26=Zj;%PINN) zN-*@Uv7PtfcwVHB>z@ePex~v3S-UfZgA%kkQFW?nuCgDx<7A>5d=ajYD>;j&*K$?& z%Ss}~-lbf0qsOIlPX6@~djj5bKD3k`2&bFalXI}SVh$}oCe8K+^Zi!N2ltN)EbF5W zk6!>^eoJ$Jt9}>tQSW13gC&=}E4Ci-*CGZy3gN(2?yh{(39%&p@+0VV<{pafg@$m< z4x;ZBHL}OIxXS*tI(!A}8(I8WmilDsqbD2hXbZsFOTNifpL2^6LweY4!5`xV2=>*&#gB8-{;2)FbOCiX z&v75av}@|!-HJ+}=x-mW=e&ImbR^^!zCVKJrRd+yzLnt@>(*^c z4gP-APV8HrYpE*t!X~(n)$LR>EF;8@*qw23T9|S>FZ+=<`|hFZ2&cmfzCISf){c-K z=XQrv2(HKErVgoO0UXPTFIzFtJZ&e%3$8zXbB44)-zXEgED={TXZ)1^yZj{Fv9} z{Zl*7ko_p;tG@hN*$Tc1`$&8E$oJ+>QknKcopvILO|Pk|=j^*|n$8RJbKS_;Q2ID! zV65gE>w?QUpi0>21;)IStE}{qL~-*dIT@A}QUE9&*7b_Q|Zb zO{^axy<;noN4?9nF5q1}f_oxFtSAcSAom+y2Va`~5|=CIs{ijnvBA9k#TBh- z8*E|yq34Lt51bsvRQZ9w#q;n~@GXUZe!DuYLf?2tBSn4D)9fgY?LjAERmZPnqVu?B z9q)JB2x9|O%Q!$W0hC+et$ArYF9&~`RV%GHRNphn4$58k1yAYy{X>6$iYMNtR$P)y zeHf&-A&jI)yg#X49u}tl)>jtFx%wqW{8K~me6Va6wZ6cphc>&@;EIS(tu;8qoY#f^ zqCHoohV=BI&jJ|J%EMb!BYy<6pY8)cmUD2CcH)0Xiw@I$PZfWVZJuA(zTx$&kI_w`}-$4 zYkqEwNqyj(!X=%SO5iZKGWo=ytoh> zY6tsT4fxI_=XT#-dV)`2Z?}Kiv*VoxBrD(h_d7-zumO9M)3ld*K?LP;L5>&vmYjDC zNhD%W$yxYHcu=cm5?+L6Yy!_0ztf zJ{g)1X%a#lANT$thaOCTqogp3xL&O~{Fc&RIo(VxSU@}(F1hdG2D!wwF$=nu7_vXY z{L+Lk%ugoiJd2#E)F=k}k{25Vx0Lh7!Gje}Ci1t!DfhT=X3ch1ev5{To5ZB{1>uV69u z$JQ7}lSY#IN>kwP2mU4&`AXqdoQA*q?Y*I;;3q*1La|7Jkpz&xZ6)|97)(7dfb#Am zxI558``!na8rKo~dRW?5bAvzV{Bq+>7R54AC@1G=s`^9wxe(juyxYYQ*U0t1?oQXZS8NCJFWfWmTLAHEc|G!C z;)|VB?uYSa`_xCEjHEw8`dx0Msy*k=IB%CIAUo3Fi-UX6{7!zecnGi zYJU#?e+%T#H7jqWL2uccxYkS6zOQe=3*Ey2{yT>7u@|NhUt=pQiIBPZMRX>$WdL7n zqVnDHT__R*rA>Vkoi$<6amFlM>mgfnh2y@*BZ;IZ8h%S34xS%Mqz$WaVOU{FJ&wS! zwE?;f7VRl7z|CVk@|iqCcw_L7318)1kp6yl`OqHr;rIDy2#?!gu=t4k)Tu{+1Xy$Vt(0C{CNHg+{dJE_*StY z-`^hA+9!kgg|QanCb((e*+yRstr%2JqK^;w*&tsl`MDitrYJYA*p7a$6n$qzb(83w zPkVqnRnAeIhw$E|#1nf4K55wT8e5_NnD?ml!qhjk+kraySKRmS)F9&g_U!fv zgw)-ld54pwht&RLnEE{@5MkRG@g4SMmizt%v96-beH*IB3P1WP=6kqOVNonJ*vGP? zHtqrJKNuZAU$9Yhl818U=9C(3ebMA()lYj#_E!^MZof9!)Dt#-=RfS|4d2_IhSGa} z-$eVDMrh6et zcGpO8f@Aktn(EQ{5qj_c75y)KfGtl{e*Q<~#n|TuKPcm}*Stag1;WGa%emB*^KZ$> zi=hrH|Ck$H!q#-ni$vOvu_UHOB|3@6*#5qWwxJ(5sS$i{VzA9O`1KjQ#H_!UmcitW z8s5y--;xt#0%OBRgJpuyh{5GKrFz1VYO^tiS`0>Fc64{~kK|s#euppi?V+=B-f~8P z!MMZ8y>Jg<-SCksvHVeY0rW~3DW2BE-t%l&YO|XD+ADA=Lwi`^H(QNCvi9X1U*&#Z??}-RJ=^?iLLQlWEy3FoUS`#9#4hKQwk8S&mhQBtN%hMUw+-Hkem)QR zu!#ZPJYRY1dDb#sxnQlr2rlTP!x*#;U_GGezuIc+Rw}N7YY=g zzITx${lhu64>r0tt(q$wg%)>vEB|7Bs`O~(-%8eeOLURJB=puG@gzCgZ0HpCUC``yL!Nl`f`8h-9$oc z?D4*B;Ez>uXdeLIU=jc))hu(!fsMc|@(hmcx0qli_FrT@3L@bjPWK_f)-?HOd|$Jmd7!c-;%4r(3>P3&Y5<5t6&zh}bsL6a3@^HZUBvP>u%9XYRT98a#g92j$%@ zF!(Y30IrDKiyMMh%!b&;9_pi*QfgGjuXFAEzVsCTy6x4G7sI&Fx(Gafeox?e`NVq9 zG4OeD&+paUpCZ`5)3ZQ(*w6zf^1IJSYKRNer1vSx`_4`kj_}o%;6gqhR@S#xoaC@l zq3@%XvfXp|`I#sF{0Hbk%*TPgf0P%0gTU)!j=FcG^ad>eFMK+-{I9x|7@#drTk?&K z^uBblz`-x=i{v>bzm6qm^r!xfy&Lhto|lJ{EeoLY3k}I%R}NF( z&Ky_qGwun_CX1eXB0F24M~ml!G(X`Djp~K-g@2tjLS#STiu@DV_Tcb{SP;dK-6ze83P^+eB8~pc$4_A?j!%g`@<`t z)Sb^!9|!HF934b6BOks03Vwdh;od-gUpT?=i*cRWYkQ&;?zx7(zi+=?zko9qG!N_b zzmLSwufE}1^WlHtb;}>u(aX&HAe=YC$8jh>U+g?6mJd$5QsbY|xaj2fReh>YHO(O+ zk9pG)C-@pWY2D>c|(D%h8XX2@7_qg(T5BZnnxL6FHn^T@oD>ioU;%%ah z?6W^$-VZ=+&Abtw+P8NsKy~jKj#Ql4@x~65jpX*3do&BLzxwvQi7{}N9a5FU1rFJ# zOAK(nXH;F9UaP_OG`-jT9HD)2E}5!V4N4^Lofx{?Me@bT@8CCw|L{xb`=eo$Pei}i zl2-r?fcMY6j^9P2PaNE!`STO0ju^Ep#aI8`&)^Wk=UU@+w)TTnFEG%0XFVaxOp^2X z6TAyH+D`PLhip68R%W0kaDGAC!6ZDqt97NazbR3MY;qC%`|(_qSQ*5~Cd#Ms~0!$R&F|dyjda`;EqepN#n7)=9qV z|AStMl)%vRfmZYqex+`+QwVFQYMv!_w2Av{E1KwY#F>2iq0fZxRef$7IcML#S(p%~ z+@s6hgkRIoO)cV;xAGeOUCiH|=|I_h5laO39`%fitrMi*FnJ^N%2X5qz=z6q%QeVX za*W}5P8cygIio6gu&hf~L;oL)-?6oDUlso`e38)q8h@TG_vn3?Uru37*etDk zo*W8&aiNzz=6&`tU2*m%uJ2fM*{u2P&m&~t&?r8aSRctREit5?!`_>pQy0dO z@UC8Z>-VNbJIj8Wg?FUtBW~Xe;u^#~U2!OTIbQGimz9KJYUmt}^Yso%nA%%n7B{Tx@;BUpW)M6&n3{F^=9buKD_L z)F|cbyQhk8s#mi#?O$?np^Kbr^N5q&)XBfyr6+jyM&!jfC$%$x*jDn_RA=J46ki_` zNe=g7r1niCPh882pNtZN%No9@)PNZ0nKs%?UJU>iJ&8UG7J^#`YCp+!M_PfFimfMX z=yMjVKF55~3#87f4(e;#l&XEe_i!JRfXQ9s(wbj4KIxXOIy?N9(ld|#&vB?D^;inM zlKZ+UxRSwv58M~KzN?-$9P{rvjLqK`AV|VU+Pt-#fL?{ZfyF z>w70hd|z#rb=Uj+^cd;U{ApW+_Wgzz7}D#yD2x~n64BdD-b4RvL@twczn9=Cu@At~ zUwjHl=zo#@mKpcz*168N)_@Pg4|dgP!u4juf9<@5_wf)uiD>3N{TWX8Pc1k&+Q^mu zyeXSY4BXNy{@2)=EOF5M3*LqFM?im(eP~}_a(aFB=xEF@JtWv{r92PhKBPx{ot>T^ z@FlYistR&Ky>V^0(c+e|4ZSc&{o|B(yw_WwPv|ewUvVTuo zhWVHGV-+gr&OVd`oBzj1;`OY7`GD)J8_rGDTtE2yY_A<=>XZ!{2J{@QXA$5KR*_aD|VPk`ssaot8eR@R62PCpuX&6nvS~6)-UfG z!+^s&zdKDnx5>DV`2ly8=ai|x59Gyw39t2d75J9R>o@H7G*<41Lw|uE2DzgdQ*+fP z+&PIZoX02I)Qo zeoO8%AF;p8*p9vJ&H^W5EZL%YbtM;)is$VUY9|V8y9+PI1Nj&6vB78GUVvwXhODgy zgsGl)%vJMMG5Gg#-tkp=-o*p{F+4sQjWd+%ayMA?tSP1(;(FV!lF?tups;)|`fB!| zu0ilqtbB>d=2!T~Fs5DqDwlqf#dC>))XU6n;9az5;3;^pGZ}n`d7tIHqBh|3BR6y} zw>-aZYo+sJa*A*hH|~aB!GZc~v6RDK^v_MYpWJcV;5w})k(lq%E;nbtH%ZPM&&zfO zmE(E&y`hl4lHemmzN;go&*Af8yRp9cQSGfNya(AnjE+LovlFAfIdT!LP@>9_^` z#%svKG0Khmm{s1FR%q~=CkJ{ApO*_dV;{8yLAYif+6TO^)TqtI+iiVm^@r6r*R`&u z9BTN-+A@%CrX9WKUe;!z+QXjWPueeg)e!&Z;85Yf=03sv0$jri+f-s);^f~_mH*nz zMefo0*pG?sIN4o%Lan0G^?nSFYxl_)Cp;PFtUeD1lk)%jMiSR5*#3y$-(nsRijAFv zQLyA=qyFg1X3YyZcxq3~HsoLUUYFoVXd7uaa-@yq>_d_3lD?X#-qI6P&kmgAIkR_d zN3VtCx!>P2{zHx?_V+ZBKCgKZGzfL7e|(*(+~{_RGNE5}(RryHC*^)0k(;<`Ks<1yC=tu7|#{c#T{m6X0FZ(-Kbbq&)9GbENz$oyP zsxv3+u9xKI&%(FL{ZMn^w>*g$&5!+ZmBas2i6QgU-?izI`QWb7!bv1{AM`}CJhpG3 zuX17+!_N;D;%+;fFW*1@?A*c>l6>whJK{ObqX>K$ti%4sK1KU+ZX5WvpD9a=)APN+ zo4B?w;J-NKaTJD9o2w=66@ne8GcP8`29aG`I6II>mYyu|$3O$y|7L!e=E(Yz`qhJ= z$1n%xmWA>J-o*&V^KQLto%hZa7}MD=h&*Z?sPa~$pr^Bs-4nbE_A{?6)&9y)eU(pR zswVu%HrC+$@;JBCj=Hh#>lsSlb3T2YKeZA-LZJcK;hz%;q3Ww~MGrD^qyxNDm3!Pi zO}XZdE;NvN8}@O^LEVr27z-jlq${^;Nr3Lx%+AX148R^~ea{PyBO+-&_bRQ%{eXKu z9~T*Ci@4awMtMXwI5(JU0Dm&taldMHDnR|$KY<6k9ErMRHnd@Cc*4|&X5|F#=q-L6 z=i$&%aZH7cNTzrR>fO`dOHmq0A20kck{=4lRKB*6NcA}|zQ=_E5VxE79z01Fp0}9Q z-|}NF4Sm&ZMu>e9@jA-|ewcHxfp>v!Blpd_meLo|>i~34*uNh)gPs&P6xCt{2Kz}L0Ft=pVD0$?4^{;0mB?4~oSEF6-toG+Ta5UoD(77`cauDQ$f9iRS-Fee0S;Ck0zaAiY$jx=&fYVGTI2gict1&fdlTF5afaU@wdl3KD+W%B){K`h_+WmBY zdZ`+*+bygIxIO(rq&sUzyIizC>$i;{**naK zKN$myb#adFJ#Lp6(#LqlM*5ozzcy>1;Q~+M8ui@wc<%7A96jPlu?)^FwjuVJ{@W~9 z`^K#uh~p@WC!sf-ePHp)($DSuvBvTdYspI&f2;DcV%cP3HiESF6NL;gb z_O=UE;D0ce^8O&~D*BRm9@&n5WZW0(fH%(A(!AwvbPLx6k4uR(fdjF}EhRUS_rye? zj7=#VkV7L8BkEi!-{7xR!OwW^I2hYFSoa?lz9nBNO8sac4zhYp++gu-2WQtKw8C9T zzm-GP!&^nBY=qwu|MQFR7|j!&ix5s##dcQ>@k`ysz5TH5!VckX((nB5(QMVTdP1+{ zxzxg6eNp?6hvWr>DTLtO`27I%ec6vSjFx-#f@3!fLeKGRl{cD%|^fx$=*jQ!+>3_COklfTB z@Xb2$7x{1)0ekuL2|O>7m(B_!O!4o(s9uqTGyNI3ny?={Y>`d8cFwF>Xr!=V3j1Zg z_qXnj-UnXvkq7m8Jn8;~OQpuf8(8El?@K$wL4yAld1U1Otp3eX9}M=%>{mZOE>!rT z3%~c*Jj17}23!HZG?^DlaETtvA2^C&cN-rvCRO)x=-s~$LC$RVEXc3=7pI={6c=>_mNtG=7> zNxtmg=nyD9@u_$5yfEP4xeZN0!BczJT*B+4QjZ7+JYD^*&l-JbeYc!}f=nGznvs?e~e~3Jm0|4=%*>c{N9q@Uc^0L1%=&V)&6<8qK{a z5lMttdx`sMH#v`Qo=(*H0OyNv7>=4W@6|1bemKvD-8>`paXY&q*e6S_z6kk^Rxr9G z`;_;pd^Cj(r061+%u)GE6PuND*wPgCR~z-!Sw#*wWSLuo0m&v{qivj!CKuw{p|`Yb{^R*`~rj#>OuA$5;pH zJS&B`UOf1a9nDAa_?2_96vGeT-B@ZPV9Hy@sV=UE_TwwOnx=e=2g_VP9L&_3VIrJ9dh+n203=!kygR~YMhLa*t;V7-lY>fZwI zA{_S14-5Ruxx+YLmpkCeDzSjmIyOLg2Tulw0d=BmF+}-{;V^JJ=+2 z_0)5CWjRM3dZnD-V{K&4|D)KfbMy-MVPMb5>y=7^&*+>?$59_}(z?iSG`MhXL z)h#f;u&<}GHS)gvUil;6;PGH6d_8>___ia6*6{rJl@E>N1GCacLt>a8oRoVGza{He z3nt}I5MKX;wD*uyE|2 zslI9CE2Y=8Wrm!G1y_S*5Axg(esJzh3yh*mH=`OXI)(m9;4!+BS@SXn!sYi-1^clN z71+63Vu)N)$y)rZPDdxvy&|i*8``_+KBk$k_G~WbNH6vvnBLxsegU5RyCo^gD?e#R zu!Xd~dNx+LTvzeDNFV3j+eYUn5mS#$i6gm=V}9Y5hTopVX-daB`UP+gcNiK(a#TLq$+<5^UK7-v$=k@E(F(AqtRXC zG&lK^J2hj$c6_?_NM$3xhWGpCKxZ1y#d%I94k2$Buq|p`!vfG6H?0 z#POgHMaE&&KIhy^qrV>^aJ?)-??r?0ys#mo5qw~rcla6mG3*~J-j1a&u=sVKsXoc| zrd+Cw!q$J9BuWml$off%kAGrdhW2^B2`0GBH_wjBp`l5Ul}ctr z5!`cwA3pMu9Bc3dv-+#9L*M6K0{>jv&3xgF_YLvQH@7Cf-QNP=j6a|JQEv3T69WFD zeRVDXKbc?qa}%x9|B;s>e5hi~FVQDH?o7WEOS><8|9Cp){gzS~bjRS{#RnVXG?)3o zTX~8#;tAB(F0Oxu(h%-*iE)rTRiD5h^+COlSMD+L`?3#T7N)%~$iE1eF#&rJ#x``W zNPj{`Ip3(98_+$Q=1t{6tkBqn0^;1y(96x=i?IQEo4Tv(tnF z@eKM4^E*bs*RX;I=Tq*q@xQzgf#4~L4!%Bk{1tu} zT>EUn=l>t%o;AoLr^O~;jW)Z{jJ|08-Gw|d^I`G4aQ-vwo=NokfkVL~;O}E%z7fR- z9enb<*NCVVtUj9pe*aSIyVA(oMantus9(rfsGwNfXr9amrKbp?x?XnF0{04)EiM8xe z_$j(@(R6VXz1;|-PBU-$`>fq+ra%^Sz+-2AN&7ju+7laFVxS$YMSoZ1#rV4L8Tw>V z=RQ5rO?vGw&cJ?*YeJD1W7}HmR4aMj94nRIKfdgyxqs*{a7DiU7jukomeBJq`GTv^ z_wBHWZ{|a67dzZJUf&DV;REAd=${-2YQnHTGlJ;$t1u%Ed1U4~9@~~oxNPrjzb}j! zJJES85##lr{|w$G&u^bs)V#T4Ed8%uh5L<=cM#jvj6x$57ff%Q7vi7v0S^}WvH#W} zUnxS>8$-@r@W-U*EJ1e-xazE zTB!ahS?f%o{IskI-^hHneea5t`|~l(FDspxNPgeA#QapN273Se2LC;vy8ChhsUOT8xzr=I`R&bbo zUENK__0M?I_?@gb0@Sz02P-rk`Y7P9!KedBX9rM2A^X$K+c072$L%x!~ zUy}zD$GGR_)+4sJcXBlAeBQDL;jR2)d(~Lw$Br9MdCYm*SZMI;KQ%C1a*%hfV&2Df zvT4;E;=Z1RGqXr?5iR`H=l&r>_gu3=XK@Gfu5=NB7rgLw}W4*dmr@Bi(M)BUN1kMvh8s1vWbapVtHZ#Z9A2igff%m%c^bwGdR6ZCF+f^W%l+oDcH8Enk=1UFX-%Pgn^_VWi`#mISO z-2ogD^d?R2S7;1G?5^-umh!l31ZeK0lLzrJ_yYO;6O6aZ?kheuug6tIKd9IQ_c;MP zfuGC<-b109--W)<_rufu3k~Mr)~W@b6Mvs~k5XM@d#Z458h64xP*$2))WwBZmK^06 zN1b^=Kh2%E25o3~y7=;^Kz|Ybq^mxbK5N#Q=re#*`}EBrubJG$n{UW|V6a(z z1FM5{u66RE5C;4_DloT!dtt?tLDBs z|7Ua*9`>%fR`Nan>=67gs3WTV+D_lMIA4Big+Hm0NqKguw+!hi+!;q=?*Jd>O=8jF z*_Gqz&B>}WLw}JumGw$s#%qlUlir6a z&n>7U3yv1C(tr7VXY@%Gqll|bp~3s|e%Oz_#rO1V7tAlb2X*u)?-hDuAO_rY-qF6A zOM~B%{hbTH%%+bwu*kjvJ`8g%@|5*6B{q^GE8^K?r1pMS(c&oTT-xp5A zqgZOrKCxNgp8w#kwz?YwsI$S!cpAm5~7 zpZt(}$nNDEeEoC7o=@^$r_d+PMOWWq-siUb&1z%wij}=uj_4h zs{6~26OL7hr7yXV7JeA%OO7uzS^@iKX&X*>Di$0?zXtO`KR=%>I&%@uP5JZY`KeFG zCqw+fiGKwXV>o;RbBN{Akklx`7UIVV*Sw_9Z?p&IHTEN(3m1QI+PGZmA%o$4LwXk9 z))tOaU#1UV6C%*Njj#y`BKz|W_*tJk%TZpZ<12tp7z6biH*$@6Go_>Ly z{>qGGy{}?V$TDWV?xft3kT7E0c-tD7Upir-0FD#)T9i0s6K*+Zo-H)ESLjnE=rR04 zgI;Mc=f>MZ_0Q*}Mm*;cS`+Ltn=YGyL2KHX-d1e{oJK*1!xs^Zo_x$%jpUivssOwq6 zMLJx&zyOtR_0XT~Bu^sd8?*ATJ-mr!`WDAcS~o9ok~v%95<58$6T$rv4)ric(RIf! zpQxPdZSboCgR*;mzOjiLU6&Lp#lbjdLq$hpnvqVsVE3Bsi1`@S-Oa%tlbp$aq9p(L z@cD|-kr&&O z%(~Zk7a;vo`{lkR{_C%Xf|-_xxt?lr_pT=GC3?xkfjyr3hl11gn$P2`Sz!Gk{9Bz3{3IbPIZ5EIru z7_whR{>$5lVL(>FF9vK|4djwa9#{hh_3zaT)_lKa&_{B87L{vw;x(N;2k#5~q!$f0 znUDBZO(w>X+W(tO(_njl7L5Ldfs08o`v1oYneh?*mZs2h&b!}_`2+8R=DCUwatrpA zG2kn-TNy#a0TMrI1HOw0BMJ=ZlM3ue@;LjMX)AN^R(K2FeCVeVF7#iRC!?F&f<2Ao zcLn2q;eFsmM;Z>f+{S{5WQV`VRG3IVeBg%mp5cw-c-v1YbcDg1@QYRWx_{n^T*|4j&0LvtxZeU`2;7t{xwN}{66i>OTue(ns3imNuEeW9t6dqY z0iCy7Mfl|~04&7wn9I4+;3}{U<{jQU@y*l@R9$@qKkY->6dO`!%ym(pRl zbX*x+?}T)wn=HKRAEo{D_%PiwRm(N@urV5(;|2`ydFnxodpUwRHsg|pnlothK`4mp zpnrkw=F*cilAO4ZAi^~B$;M^KuSA?imgRWzU{GlHk#vv+%kW=Eus*+bsLp$Sf$yg| zE9eRgsq=Q1uw9O?iGBn+jq>07((t53*aXI^{-JU3|I2%oed}~+ys*zHY80n> zilfN0;QJc>O3_^g5Mc`Q&qeTJ*iQRw1o+8SvI8?cqlmAi7U7vByo8fElApDxVTs;2 z2zlbDzt0@>qT+=M(P@4#s0%*9W<6C0dfiI-anaz1vJrcngX)^BLrCWObxkF?n7Iby zip`0^nx}x=H+Tsj&8n6xewN(_l9f9b=thi5_%ktvI4&ypqNmJV1Cmqpd%)ggWFR(R z@Qd+!XRim&Vb-7IM`#WW`j;D=FE_5xz?QensiE*!qP=tpz;nY3Ebw4O&);mU@(>D~ zh;2lcy=&0`l%0nbW|y1`Jv7%7bMCp^kkm@jzh}WcgE_2q@>8^4>JcWKiVpDYO5P~$ z3CZIr?M}PUIG-_~2V|WJ=G2^PH1TXU)fyb!(sEJ)@!bCCA0F~P-nUGkvkfabf55&{ z_+mX{gzuI3Gxjgo3;I;QW-wQ-&R#P;`vf2y^vRq*|5u~yig8it_|HG#m|C|sgcv_o`ksg0<9J_WzdaB+ zz8q8rj-2E>{GCQ?twCf0M-JPxy8BYIXevP_Cl=`uf>`CGRhg1|_XyL#lidq1t@L~r# z4&HnN=Qw)G^ZXZ);>Qc?f898ggNF4$lABH23 z9q}FgC&a3bBQTNpahbazSf7hFq#V^z$QNgu{(cLp%;2%VC(sy-*&5VFt|(#{4j<1k z7M;6QZ3y@<%Q&&<Y$jdDrVnG?nET&=trWvg;_4 z_ZRyY(7C#lKU0x5;`h4qF-hl~I~{~S{>!g1a^KiTMu}dxZ1vj)uV21L-zzx+pL}&M zUOQIL-C3A>F$g-uk=U;GWMY7F@s7ue{-k$yBJFj!zvvVEF1%GK>_Eiw%vqtqnsa~J zLh=${m5!ou>%VXP82yW!Yro|f!o9IVZV3C>+L|=qvy~UQKiT*?BjDd->n)HIkLf_8?jF z2S&RoM`bMh$iP0gScCh8bzaj`=o?-uOg9maA5zA<5?+^sX=5=TVQw(|$oFs!6kkA| zBGxrFBMJ=0JN=h~J!H|i1IOE$wI6EZt^1@4CK629GAF$!GVO?STY}uO#h3VaeGl;& zecvXP-T>o1=3WAo5s=h9L*@(TlC^%?97em5kM*q?d>9@yT#eUx+hM%-EUd2)EjjOp z6TnA>p=*C~HeDHx3#w}Z^@MNXM34u4!gTBIs(Ae#60qOrdj`+7@U#81=oiGt^(vKP z@EE0grkT7L=yfqb_+O3P!RKcgQ|woR=O>K~7h?W`?ams)L0u1D>0IWARqaBcay@DW zU7F|sTtlUftY0_JXv@4V+yjW0{q}mer{wlFDwietJ}18n0=2Pp-%|d{ar!k)c?wm) zx5W7OVOEyrIjxMO5A#lk)Gs@dcJJ6&zZd*3!cWTyAuG5I`i#vk$*nCk#_@Xfy^ZK9 z&w+QrIW_m2dl0*>oB55R&&k>|{y!7@Ug-9&-HR2USl6xKnSdXA7J1@~ zyLgBGMb1a)P|Fs?gP3HYJkf8X)ZcG{UJ{tj8#{9h-p781{!(%xIwN-*@worRdPzP} zG5f{3BH8enGjR@mUZ@p0Gd3Y9Q}5|(4(h|t4y6xGA?P>{{|juykN6@e$cc;H)5=5=jAbygHWZcm-Xu@y&#%tQD&gE+GycOIarPnTtXX&RG(dH%_k2}PFuT|gJzj!~@^!k}iq0_87w;*2 zK^r`}2!Am6OSJlvONXhC8S`Yed;QxjRQ+mRp2W7HM?Tr4%>z@5Fm!XB7hiGocd^h4)x31@th5L3hJw-XA%iJh{xte=R<{aO`r^b5V_bJqo z^>=qo6v>OArLM$rJ2TfrQ)v#Uy%-^N?dT3>nj=XRg$9pJE55a(r@)R}fiF>X$j7~@ z8wVF)|04a(CFEJWM3AagE%B>`AIsKrDA7rEj(t+(K6Y=EMAal%rof2b@%57FyHw)% z=~K(X=+;*>c7JOA%c0ltw4N8L9o&`A&>@<5?|v5jKIe$FMBZxwxH|dK394f|i(D;k zCz~bEVFs;FwiG{RrS9-Kfp1vn3i4GX@Hj_)p8>^Y68%c~K>7n?%hVBmG!$`MtNIoj z4s-uIer%nKauCC8>FtIlHK$-s6$SZIQgj#P*jdI9Px+3|4I?w!pSXnUMg)T-p@S2? z+j#J*!Oh->zNrJS%){PgXwKwFe`2})e^b-dca#@IaOuR`7G=@Wz@oO#Oyh~y$X)%w zm4u$h`9Cua=J618Y6}tXRQ3$^v@(A!G?+)Wt1a~WtV>;weu(S3EDy=MUU_g7!G3zw zKhd7r@IoH?F~)qZXfjcJT~?nR=n60f(MO|+<2Fmfk1V{U#5)FXI%h8W$CB9UgMC#O z^iPcHEC-hOt#3Lix5)_5I{Q5Ql`MD)O{6hw7+Mmndz0>@bqe;ETYqg4wym~xzONf1@RYeBNq7u5)(mB=d zW;rjdUV9U_3&Z=3)$`zx6UASI!MaK<%`IP%O}qvPw{fD3p!MHxev~Zxm@|!&C{_kI z_l-la8xN_QN;rL7cDjU7O9sh+*O$UC3OJShGJE~lvKsnV-W$J~+quhE>RM`g+$JHeMRI=aS z5vl(4vp)0#{BOUzVNS`<;e!zUe3P=38+W$Q2*T?XioDlp?U69u8+<1I{2e^#3**S! zjiT3Fcl5VcPV2pja{j-4ounLydk)kOILc28qKW5DXI)XZB7X1C?z;x(j^<8`6+QTG zn2*6d;+uF8d?nnIR&BtoaNRDWSM^a>0#e-x~Fe$V~&oY-{T;I`f32kfu7z#Ra73fA!NZYC2S zlWy<9yN9niafF-Z1O&z?ANHIlF(t3bp%h}hb{EXYSRT~I*;Vz?j?p^L`5}UOPlAB7 zGWag5*^pmo#5<2$?Xc30903}24>oIE8|qEFA(!$y2c0vw(UDHHiv5GRc61c;-HG5b zh`#?`52^3^Zcf%cpG6Y&mLRJM|GN$e88;+*G! z`l%d)$D0Wc&1A=e#`^)p_RuoxeQ7@Pp9X(5nA1Ke*hS|uS8LF2=n>Bj!JLElL1ns# zuXJ}o6dn5RUGA}VVf2w>-`?dJEMGZ|{iWohV4lpm>uqtrh`%--xh9aMo`wH~$6r^# zBOB2A@%wpwf@mQI62C#uDL&;>k*be6<3oHL*^MykJOO^O4Zt0IhW|zR=0%#XU8|bh z`}4-6k@#C(JP3d5>5$>02wnF?&rEyb*S3CLYn^LVRh`9ydS(ZyHzsvcJ`XXSsOZLsF)U3JvG=eGgm34Ei)Ug(q2Ky_%EsQE_l zBQri}I`o!|ss6gJWG}MGLVTqS9it={K5ilMaG!DkmS;%aF*=iApZYa*h>7^R4V~?! zd;0_LjiJ17t=m)cwI*B9T;y2SUjjb>(mb8_u`LAGF!~*G7COS7~HY%hWhTIq6 zw~0O`-Hpb>=(zc7GBM6P)*tm4FHGXyl&>;9hFWvr$s14AGha_pf7d~i=Bf>Kr5P}s z2Ks`h1R2H9O%cR?{jK(9?ZclJ8pGIsj+}7zy9`T*P7%Hdckp4{c@goqNp)tkoOCaZ zIhy3zfDg7k5eolzJtRM`!JK5`w!HF(MB@GNT-yR;^1kH*U%RK$a$XSHV=l`)XZv(& zg7UavGPtfC_SqDbLp=t)b$(Hl_-~d(V$TSbQ%G(23=u~@2=5DAo+sKQd(a)=w%S8K zHi;kb>6Yq;EEA(XJnZL1&$&OxV7&BKa5LU=&_ne=JrAq-sowREuj*gLJlT`uPr-+I zddh9c+n+FBM?2-yq6r$ggBIjE~UrQAyAEq-un>8HeW)&pM!Bt z$A+QQ53;x>x!IaKI={#e{$z)0!f`)7JB?|A0 zIB4r{2ZE}@ulrKmFN0xZ=o?Kl#CUhtV65TllO_4!(Z0IpgddslR*MG*%Y9kTqKC}6 zqC5gFU1nOaUC3>=l1|17W`K(uh;t#fwBiM8TuI(Ru@?im;EmT;I{#wZ_t5E z^)U>(VTc?kE|Y2iUo;~IdBmJMmFuPRXzLG#_}N{1YQFaoE16H`9L%ID+^~l@=w9#Z zI1)~NoT-GXb<23ffIh2G-S_Wyqq6v(7PmSozHmXr8FK%>}y?erbHJyI8^qd z$u%aEokyC-^Q%RMaH_*f`22g*l#8{~gIN7JsoZGQ1>M5_g$3omT2p@Xj5&e9$OC3D z*gFR~2lfn#*7_0uE%Ozhdqy?10nNdyIOEw*95-boF)12V{~xUmT?zs1xTB z!QU;MEAY$2=UV%Qag6u+e}<5YEU4Xt57_5e$$tNNvgYW)k6fSk%oC6k#d)~9JT*rW z{R__(53DjNC%&00Rl`0b4*H>t{zoU(_kjNbc`1q4%yduyWe*Jbd?(kEz4op=Go?OX z(%iyjnDW;$#}fBx^BOp7e%;(!#Bp0Q%T1{py(UnwN1rjK)iF5cDuuTU@yxN^N){-oaD! z_m5}8_YWg$z46$;WH#R7i=2gdY&$AWBf;;q2Hz5T!x_jI<9q14eUZwO+~Fg6S2KH< zHDCHg2uWT!a-vu_vZe6@ojDbMb)_N~I zOj4d1a-NxcF|#mAd8g1_iXJEQuE9RF*qyQJn@{$o(*J{#{jV6EYeDCG6*`pp(4E)d z7p8B3<}R&`Ri3g6hhBeI(DZ#2^yJ|tL`G9X4MQ2_{etNSA^I*t` zYIeD9d<*$pelzT2hNEyrJ$1?wgn)1_n$L~d^Y=z)eo@ys>%BS4ifRL7V&k1j!r?CJ zNTIMP*Sip?`82WcXJYD>u;zv#JR9t<&cRMKd##(~l6|u_Sve;EK|jVh=-9uA|J@Wr zy&2TL(UUkX%{&YD3-fT6g0uH%R;%aDT{W)=dU^Tzc194#yEhn#a}DFdpztCC__lwm z!oOb+fpKl|+(^#JLT^f7Q1301=vS-Fb|Nl|?mou;1p}68=u3HOSe!xzX^=) z=gEn*eIE-l3ygQH0~(o1-=dw`F)WPcLQZW_Kb_WMU0)#}o;Y?a0r@YN5YLwMR5@8L z=p&djlK!=X!~F(%$jqxC$@1-G9Fltwxo%0Jw`o_CjU7Nj_$t-y(NDx4RQ=% zKOLuRH`7PN4(z@OJ`CsIUi8)b%%a$6!d$+#F2pg~BbwMsJ+lseO!2ub=uESLSKfuW zZ#4#d6oe_)uEura+O=JKk3eTVmwa%-2}H)KU3Nt^vBw*$^unQ*#CM`zZ5l z;)5k$vPmP-xe5H1Wo5x?A$`jphbZD0ok~AvQhy0F&o$aY(D^^?Uk2Ygy6Z}J6S2(V z@)R%qyi0vBWIX(bGf6%T^kdw92ad^9eb?iT#AV!rp9AR?V$FukH)*~2@P?7Y`ZW0M zGFg|h-;Ln9_~pd5WWrj$@;&Di&B2LqlYPsyVDS3b7jn>(xE)vxznI83wwQ?J$=5o& z61Klq5BnkC9^>+&T@k`9je!4f2j>9vd|=4`z7>8kJeVyr((t z7sThZ8Vjx~xj?^R@p8)wvt?l}tCk4xLMT z2G{S%&^?WvzxdU|z$249rnW&ckGO5dzAFKO{qvD}4_x#iq<{8#1b^kA(s&aqh7zx@ z$KT2(@e8+jVBq!``bX1h@*b_TPougVfEnXKOt-5#VHAa2#)d84o>q&|)>`yh4{at= z5*sk$9EjuM8=j6*9nFU*vKGVHJp-n?FIm_>KG^MC^~D_ZztnygLmZd02D*6R&moTw zbcSkOLy-ppdi06I*w^rZSw4~GFi!z{8qqQLB1&EM^_lA)? zzgcXjI{y&lCH-;m!0g-JG?je|rN?Ujw#|wDMr_vCwzb5^_jy~k`gUja5WiEeCli(P zu{u%evcDICo5_0dL#gr{v`+|APIY)XmBBS^no^P{{skO@^DoZ!trIQzq%pCm6Y;q} zE0s-W!3~c@zXI5k#SQ2Td0ueuPCPYX!`KB&dL9U+RA1!$Vm;Nflv%j`*Z1Wbj32fv zG|PQ!*)ouxuXJvEEx}K@3w28oWK}EY&p^M=eyYE0iBqc1@4$YaK_-tntDgDaNX;`y z3#Tu9Z`{9b2q(T*nC7!=_9VEX4qV)jB{{5~(0K?i^gDmy-lrnhwmgHMQ-dVeH5+-M zyys19K3+HpIps!@U~O>^4ju{ze3ww+$Ryv%R{nUaA|oae1MP3C(I6J)3{2BJ#kttq zGEaBKDCNL_*C%_lC~L{Hn%aG$av2Ufh|gpI-WSo$RREvAVcwJ((f5>No&#R8D>&uT ze3iRYF_wfsYXs{YMr@-_gIkUJSBgp21v$kpoM3%5JzHc#nPCi^Sji;e+n!KO!G_E(E*Z zS0F#c0}|%ZXV@Rw%|ZRUQ9=6mt~8b0mp2XJi2f2 zIK_=Pj%^_Hmdpzsf7_GT)_reL3S9;k-{~mcKlXKZan=3+dPd=;w?iHr^n!gBnrSg} z$m={bppx>B9#Kp56~m^2W5GJ6YQv}$gYE3c>fH7ZC-v=5s3jcI-27}}RqKT|PU@F> zk3AXdT+StGo^s6sqtQ!m`}r4AWk1t8J&a=5xQhM0#>zcdMudor>^}@cg zBPx8%sd&HkyA9?ED0pT;KPH@{9Uh`XeAp-d-%)#Ye-Az7}&Qy zE=c?oG1Ib?`wHEo^b6R(@D#DyXy`n7z70J;?}zu##D1T3hW;gWa)oNt4aVfv@b53; za$oUHTlki zejoaz?R|YEZ!zX-jBtN8!C&&2c^0!BiE;hUT>_MYxFA+_0Ou1lr#2>-I2Jb$d>GO3 zA|F}iSko+M;VQ4sZ?Uf|gzIG){KVKU1I(Xmw8vnrW_j?Y*?08XpFjov9M{N8?}@S> z4EA|c{?1uHpW^bghl9z!LtZ=*A=6359sVSO2w5BA_0{x5Z zn>%4&#roQP5mW=Qcnh2V-@X!D1?H$g4|5;CRh@6m^gqrqoZ+qYJN#mz3vchFd!D;? zGN*Z(l1+>$pOMl-^cbgyAXk&ICfyS$UKR!Td;fxww|A=K0j{eZroOEP>C~44-ulF= z?&AXd$nb4!ejY{b8Q;f5$uC@&QHF{EU# zy>JD27U$FZAAJ-kpI12goU~cLg;&@VNvYol?3sgppUcs*gOO*!L2$?cs1HH;s;F#| zyoBY22GslE*G||-o?xtHntsonJY?Vg`xig;*|)bRmc=(KtVoPUUX5JD(-^~_$Z#NU zjMMkKMp1GD1Yi6TRpQsqH;_6w*%t2$AGdSB$xVaoyzv9%^KrddSdw=K{|oP-TL*zR z4jI+SRk5Pq|K`sG%@>~#Ot6I*6B>}#qp89A-Y>I|-`l7aCHwz4=<&NsK=E}$`hQFK z#n{jD$Y1=|+q-&cZuwux7sD|&)Yn<=<1+46;%hh^o=KZvXP^GB1N{XV+^^tU?PNeh z4HK0TA<<2v*>b!8Jx&QB$-~HV(|oFv$y5$sM3W&Y>c2{LlRmI0D262e0`&o^@|HQ% zz~|=!b74uJ-p*BZX3!7G`8zj4@*f6U;rvA`(y(Xn@iBjXnw{iVoHoq*d8c}-{%V6s zbLsjzX@9cKj%K1=bk58smdmW!(L-`5f}z7O;(AXS*d~!Ur?*39ff0m-!D**d;<)S@ z#i7c5bxfzT-aOW|SmxP{ySfTR}hgx;F{{;!b#f_%)8*|;xwpfDvs^93jQs=u`Ot0DFElYWFL z`^7)r)u7bNyM6YKH&d&Bn*F`>eizAO{`eAlHqKXx38SAdR&Ek;-RREy@83dI2Lk^$ z@aVH9Ps$>;BZlqCkms{oO@HOo6s1vrlsms7|D{EKL~P;2EV|5wvn7#a%MIcYAF9d5 z;xKUFcB8%Ngz@x^U$l)2+K<^W<$S>ajuWmp#Y2J_0F5#WgaUgoGhNO`T`unU*%q=o+e z@DItJb6F;d&#q>kQH=QPM&K(w=l-h<_9q-Dx5P_xE!;kc?qJwTXU(^`V2Yz_H|c5x7Lcz1Rc)B67x36kb;fO@sU@FR@n#wU3V5G? zz(e8zhE)Oy_7hwb#(pe47Edy#A8RT1_JVI?2(cnJ9iSf-`{1h_L-hTquc8rOlyMOC z1RKO0{e)*~T3BpI-fl648yuW|u98Pji4!v$L zPvo;l7;)ZExg1aW%$zXja5&xTMvYAB!NKH%{8g{sBb_7{J}8J-ZhmVq_%och_^QNT z`PGLw&Slqr=oz??K^`Bkhhu)rCLXt+Nhma00_)egPBrzX490$+^9e;R)ougfLJ5`Uq@18g|d5-*|6pV^Y1>T`%D>yhXo1fP)TCJ8PZU zvH~&g-WvPPb9fvV|LUN*z2$;w^gtxM902D_7K^uxQx6f8Hzbry?2~BfE?j{83MrzG z`}0)_@yB=&93o2;7J2Jql=qHY<^%{&o}2_fnf+0Jl=#>DUA6D|5k7Zd>k7fUIEdKN z2c{C;(%>RPbeJ#gh%o}Avr6=`McxF8!6>(PCe1+vKbgl&cLvlFz0F?iDi+^CMsn$z78>7U-P8Slsp7wE*)L3eVK>sL4u4U&C)h<)s~++!I0j(|@|)S` zu+pshgSy$8pVB%(=i#ftd0_wPzwxvOw(EAwEa@O*<*y@Sh+}&yG{ihi>cCus`>(gR zq37qofExkS2+y+*d{K8e&%0?UJugSPki;z9wxudC`tAFQJTiX-L7(X&_0Wfv;0Iz| z@323dz29Gc*`aNVmFL<(rX&srqCqyr;5{!1>7j<1fg)k)LaMk- zBKZb$sUGf$C2L-og2O%@D(=p>Uw+}=|K+$6J+C7zhl|*ELIBNRq1CQfN`Wmr3G-z6 zbLp5nvjDjX5p$8}fS>#e=i4{35Po>I&gh%Kf6d1I!uFWp%eh7?2w-QRe~}!z&G4b_ zsuaBydj4<$<$N%nA?|GQXD8(rH?-1wUwyyD@H=7D_! z?O#&yJiY^sKlm>4D{<`ld*ECXK|`StC&pUnVQ_GKoCZz=4^p>!tFJN7r20KK`1iSO zyJ;tR?N=9P(?m`V+uDP~uje|Eke(G6HYkw-U^n{V0QAX-Lo7QkRk@)R!f5nS|85a; z(p8rUJ`7(^;rVWKKlhHaH_mhBg6HFY6P+4#yC0*@Mz{PJPmt~QOLg@SUeRIfU)WD= zyev%#rI%VQ`y5S-rQUcOJUp}ozkqYRrX3o~>Bu{0&RDMi;<1JQ9bc*gAo4s2@J~uObrPCO&0<6fYXkYAKMBf~%{)sQ+l+%QI3~>-;tIrIe zq0ozVJBIx~@JXv}6NzJgf)@sp0}JxOyFglTfHnLt?CT!jWI<6JJdD2S=lmm8>S6yf z>j)p<*Nq)m2ySYUNdqrJk+9NVeJ9Y5^;rnT#0=zFa4KmnXDY*SSkKF=ZrUxA&LZx( z*LDZh4Son#y|J%JIWB%TjR{zz6+nOY7yDPPxe>>skG+vhT!zK@rcmCeCTrR)bW?rU z%oxgL%t@gqjYQt|fjcS6eT_B|+c8huyAtaJU4k)BW*%yAgz7^(o9PA0-LS9+2HTWl z|EVea%jRaxlX2az5AjyN&`&1Scc6dS%i}iWkco~7{ujxw4C|%?^h@iC*`lM# zsGLAN-k&krgQB=#-j04I%>MnN6_{HhR@`J4BhU4_2hb<4;UJYfgV%5UF(0h({{HciQa9Z= z>_cq7UNZ+i0{*>Dh0v>$TWg)bd`$AWa|@N*<71=Wb3q!Jpz@nm8N9w&2y<*lDHpv3 zco!`2@vTTPUt8F&eUn6I9~eL9?{lEVY$tVyR(;ZT=!HxBBPi}J5LQF>*xSbvb#R@V z-_w@_k6$NN^_lfbI4hqWDUl7za|6_uc_EhWVI7s-1Uz}FR^_H8|j47R6iJXVutB-Hfyiu!;*jw)lll{XeS%5PS@wu98VG4c%UAW z^No;q4a`*I1heen+cwJ9oF?ckxu0&c-h)1)zdlurJ*VUumXp8Ra``mUCj-7e13J?Oj!?IN)`f{EV>Dw zbQ{oHZnAMk0UF~Ak|m<7KF->0j- zd`FP-quyoFYTz{bABrTT9RF*Af4_0*Dr?R`m-H`>k3WRS-fDA3wsLjT3k~5(q}yn& z0RBEMLwzkhNaA$IjG_vBu!KX;&)=6@MbXjNubfDdYqzJ9_};TU!9&4(&^-YBWY))} z-7!G@oRvEumN140NRIO*<~Dt<8cU_P&~Ob_o{>)vDqO$pWTTA%gfP<2A&+Bq&hmYt z^7gTR;W*d+tB8=|cgCk-3HQ^(Lg%luqNvNu?)|2oMgE=yisl&xa3qg^1V0z$xASR# z`uiCcXyX9*=lAv&@?IG@bHbUvL0V{qCRQZ#fs9PL%?6?copes{bEwWckD#6tA>b_o zTeI{k=R(MmgN9$YYyL^U6yg}y$3LWM-UEDzoFBg8e2j7{N5j{Nf#A%ksXBN13v*xw zbcDe##=MS0(dx(879l+CmQBD}sK-Q%LW4QQ;q~pPGzagr&enZr81(%71${QDUioJy z;fz`SVJG$UFO4S?$FY5A-&6cy9XqB9U+8sl0{w{CL zzZf@`hvTU)2VIPJ*K>6oc!H2?zh8|$o#(eBvekFdDS@Est9a!te7Ibv3`o%W@Oo(q zB@b=bA*)r6r>#S{_wBmqrn+Co}3ZyJ%F1?%Pe zceC~0NiQ;#17jmP(bwRa|I7ZBJa^4=SvX3+PgnaA-f#s%Oo;uen#t6MKiHWLsuzWB zkoERyv(dkZ@FU-l{JF|;ItTtVQurmGzt{arY;)-Hx!$|sNGvNeveEBz0lPJpZn4n4 zWg^j30E)mD|KN!?%8hi7g8hCb@WvZ!SrGf`wuVO08=U74{{f#;0K+$o>KIH0cw{Qi zaUyhf;MBaZ@KTQ1`F95A{XY8QRKgo9NAv5~&HPvi^Dz#hne8BcsH|J4TVcC@C%iXe`UbefFk3+;bL%ZG*o3jqV|=mpjkpP+NB%f=7#rp-JL zYCBeaC6k>{ZYqN@U*{Rv>J1$80{Lg$$5af^`n|WW>i#!=HH7E9tDoj= zOvfo*786!jjRqu%kEI(_NU>B+r~b=5b@q0L+oIqR4 z!TDpqk!_~>dr^-`K6OGmVJfiv?SLTVWPXJn6tQ@T2O@>9>afK}bY158CH|M;A;d8# zRo7;#uen^2KG#ESXe{vf)z75q9-)srojUuaO20RLn*05xjq1OwDu|yZw_LLH*(bdm z^!&y5F8qVkDCHqPzpJ@2_hXfpRo7SNuc*&>{O$Tpu=1U6J5o0uNC)D5;e1Z`#l&~t zAW`|vA;H9B&di}iD}Y=|J{e3MIsf@>DPqd-$EldhK{s=?V;1omtHyymL+&&5?^ReR z`xAH-EZD)EitY6QcitPXu`XLd&dLM#E>GNc-RYl6xsOnQuW}%ykv9M3XejZxWqGha zMRMS7liP;O%fE(bZs#3$V$4*jo+;{wxs^h~S>Nm?c?P{U#Ss6Pac@0|`M&=esU$q6 zO(t5*V3uC4y4Os^UXS_fnD?;%>OvRjVK`TIOObKt!0d9b_SFe?ngdZIQG5X>AA&!|0@K~8 z1Ukcuo$!rZW8DC_sWKmg|K%s%$6C4zxA+e9FuaD3#``j+(u40(>Sfad)*WGADLhm7 zKA3kgIzOJ)a^BVC(lm~R*5KhXcH!4Fv+lFn|!{plS8sC_ReHvGZ6fFJ8n zlVXGC8c8qv5#w|%+-j&UKG>}JqrY?^wgJxykI~$ize1_C2y*TiHlQ60fNqqz0rt1N z2sG=8?s#9ALp`Yz>U7vYxAcYog>xlS(+OMOu3LhG2y3bHw=I#U*#`u@Ti_`%kK~$< zeh(Yq+rzcheQSttXgx3=(*bdz!Fk6MXWIzpZO5@R8gvhXk&Euijl+DbQzU|7`+{%D zf`~p9H5c&GM6zZ8#C@E{EQmEl(^RhiE=JK~0fgT(gm3*9`W0Y@TY17S#syQGSmkTA z3YL7s-z$NW#RdKN0L??ljn#a2^rs?(2XE{K8;v7L`ziDgIRXW9a&zBR3v?=S5Ik6%PnaRh{?$OvE2=j>(l6H~4WywEo<#5qckvG1I<}3{d|+ zKe8P$zHbuVm-p#a-aM$~O`H$rehImpcpaaFIjK(29o!|15f*t(mOuZcinHp#p>LC% z!x@SCer+i*3P;r1@4hpYME?x_80Q`=J(*4?Qzu#^EJ3aw>oZ%rlO2GVEm}qk$Ka3j zlD?`{w(dXMCJ^K8c5Or5j`H%MMFKsF^BELzq_osCb%sL^!#oB&@64G@P0KadmNBDz zHr2#HW=qH7W)_B7YEx4Z^^+jo5Ci%ntax;D@mNh_c8k3 zHw)K3vE@y}iVYjK;hGP<2zxf>LSc`^v9g~aag6sNt zfz5c5IM>P}38(4eE)S9a!q{i@FEWs+Ho4@zE;7bKm%8bIjpW3{HcTg8e>?TkoaogV zqeRc;9E?1^Y;0U_R3ykEVFaA0`5YBGX}-gH>?z>}etIEF&zXMt#yr-~H;I#6flru& zh%db>@+@jhoEJALm=J5#VM&i3%0WWEFF9K8FmImJqrvXpi6lDWizRx?IVFDNY9Xq} z9Bn~uuPuF8ANAj1#QlA&iuqw78-H?*KRxTmyh($~lD6>-Gd!Vr?s`AF4A zPNx3cSdVd*{lP8pp6;H3VPi=morcY!=J7(~?^XB4o@zfy?$!F`!^w;1j{m^Fk2(HF za9$3xA<@^JK0xPI1AMe6jHB3w{R`^gM+4zUX1yr#_^PH4&fW9~x%1G4b?S>eOA+W; z%AVl+%oz2b;5}1+)pdjGw?9!=3Xf@GfWAiu{UqlybaW|V%9MlZS$Ah z)cD331UJTuMlHq>Qu+RUhVw~$bWO(-uw!EuqkqBHZP~(4IJba(dx1PYV3t=jwV6zU zvxo1M=Q8d~Z6trW9DER+*tpW#gDNGQ*w@b(rFFl(J^jE&f(aE>=lk76;yBfW6Ar>_ zZ=VvSx`QcE)Qx4pJM#^WM=Mh$PWK@7{7CYDY>@B5d3xP~Npdp_9f{Xs&H(|c`~N*w z_o$AEWXnM=;C;#U=T3Uh!H+C_l>4Q0zvmPsI_u&B^e;#E!%2SKutq@@)E9l;PAFW# z4-+2q2(OYk%zNcMJaSUL>9q31YtkV>nI!jzzk_nLz~f+lM5mr6;x75&=Gz8y91sVMh(om$j{$t>5PYZ@q`XQ+ma|`w%D1 z!G%vo{Nw*%p3LXeDJSI{otj99srYSY-9*~3nuCiA4ao<6n5ufk&tX&-jMB=% z!TyE!LYa7O?Zn`mYj93y(+AMQ@F4xuSo#_98?7%xw=NIrSK|S5$@lkD4p=<+{M@gt zGpnz9Qx^h_vfa7gqtr)UKb*QqaOEvSxEOd}crCW7ycaQ+XmDfjrXjf4^i8JZLey^K zulequHMiq8=##mt`aA%-YwlAoL{ilkf8LDT??dQ|YooF*6=~7zSB`Zz){N{?4kGK2Tot@JABBhvEAw-9b4z;A*&W;~Q?G zHq0GMx@(A?9=dU<=X$vlW4Jm)7sfKGi#On(gm3udTJT`8p7r?@L){q=gd7cQCGONX zovM6|JtlcS|8#LB*qGN?gP$z>xWowIwzf=xPE78B2ZrQD6x5Wx(z;ui=dvHj!<#S; zbd5O)odEONyqxsC_OX+B&*@5&3DfdDrRO`*#S8e)w-a>_+96TrX>ALQ$>3w!I!+>d zOxAlX!!?KCT{>NwcIB@BAMvX5c_NtG{nsCPvH+~VfF4Hn>_2)? z)0(I4O5X-2gol^tE^Zj9he0mG`@*Rs63#vJQsc!qFjns$gf1(c@Ft6qW_s@BhPElvox}WoalHH_~v+UIdBvWWno@`J?&v| z$S)ODFNgc(GuCsD{&Aox(4D`={lY%>HFKhf?OA>s?-{a3Ef=SAnMr<<@O3on{OD>hyNEUT#)L!+%=~exkIdfe(Rj7`BS-W#4%8#JH)Ea zB^tT{=2pK*rH$N3W1ie%+QF)n;7W)QNO#^4t-6#G5yUq9@yk#*BOi8P^aDfou^sK? z-(&U6O#ItjobF99T`%eL0&@eztVJ$`PJ!n@JM2j0O;(c$a@a=mJ39+6C8=m4u`I@^ zTOtLD@3PRSbTPip-(@DzyRiTZhlUe#r>9-U`@$*Ef5q!wqp>@Eg70c^n`oNd3YGH$ z@W#Ojde;v*^c=uFI6?Q;`#n^TUphhekj15ye?1hs+Lq>Z&Af5HNH9Q-A$w@-Z#dWT z)XD&2e&67+C3=3_Qk1|0i|H;>-@e^yOTeFG-fx;sX=R}p`>`u=9P6H)(R2nln4^D& z>wKv)`WF_`M~7>!cafLs$(x&L68^b@1({Up^W$p^=lIJUKC*9ya`noN(>)IK2B3TI z>_p>LU)yFR@!HyW4L<+(D>7R2KyC)#%QYuc8^k!I_s3q00T8e7zOc?8dI8Z{hI$ZO z5ElOfuTOk}KijK+u7$PeHy#B{BtPJoCv@(lzUo8RQ?gHdGwv5LROTB?urTT0AWomF z3w|WBvO%%x7lMD^{0ZR97Coq;fcpdF^Xhj6wKT;Nx+?++#1DBc1+Wh(GYPv-lE9 zSyUidv;7b63-8(Mb)sW@AcchJ9(k8Z-#5owhWG<&hH0KzfjhBHxp5`4_1v;3n*z*PRBJ`s-JxN06(|fFP+=`t@;_gP(lDXxu?vn|!*%f;aIZNMkB_LUH z*qTQrDhDy8Q1iuxOwyc})8Ud|WK_w}9E=a~GB;X2%$?e!p}Oyeyancv;^$%;z+B{6 zR6(P7ae4xQUL8^j{GxwAGi=!^p+qNYsk!vqH2)?Lx)QGAreA~(7Tl8Ncwcy{Jp2Xj z7udd=zw^_%_vTW>Yo@!qT<8SWgkBCc$p^x+*65dnXYfZ?dJ4ed^MlcPe|!wrc}$y| zMxSewN_k8Tm$rOnZS;4LA6>qbCHkaQ!!zj%y4quNkqeK5#%BWZEgbQiyblte;L#tU z*W-Ee>qr93;`L(dkuqm`^^2K~a35!bxi#w2k?*pVE3u%+m|v>P-iU2BQh&}#NYi_^ zp@-(bwjZVS$69*={`PRj~Su=71N*T*_uQ4dE++6DRlF5zNOd8~Yr)luU42 zzx!ctiq@f<+>}2w0=^&SS~vBQeeCK|$OYy6vI!>T-ubu^!p+-G#~fbX`=SVfJFI)B zRd~J_M>Xn!ak$X7{@EZqiojU2cm;A$nD>?<+ z8APv>IUJdQoJ&Gx6YLgSTB{imDi z+TfRE{&CtS)GgQ!jsZV;LD;G}u0xUc%H?^22OUKDUNbwMUNVmJdrP{I`>9D|pBSoi zX7tOnO3;4^@H5w7H$mOGX3hCb3!pGIk~H(9sV95>)az}rA-{K77h1slvsCCUu>i~X zXeJZ)kC|PCU)4GwTDkkv!AG=%d5ojOiDP6lu6xNI@CZ1x?1!(~2)=Z_=mz@} z);|po;(l2P{8Q&SLBukh>`XINWIbPcq@KfXe6+5@&v}U#f2haA$Mif~=kzm+REMz7 zM&`1;W70Gyx|s*Tt>3na(@ zN_{Ti!yp}E^lyPK(He*&CT04fVwci!iZD7+S5eU z7edE%Ck zRlgMWFYJfAwIG=~bKeP`67y0Y9YC%nI14++$I^7H&Ax5vMOY7BvV4-N`psYy{mI`$ zu&d~fSEfZPm*{i^CD!yvyRym501Qm9+1Hk^6EN zUBNzx4V)3-k~g*XeL7X*eD#QUsn4vgxKTq4GKN|r?-h00!u#L{1W#<>cQae&7R5ox zujITf>?_+hZumALGhTVqr!46MWIicVV~DYWx2l{K92$)O-+d;GPAZG5avG^9@kOLQ|fgzh~gY?|zb(YZ)6$S1}%+ z0N#Z+gSuBcs=puoi)G(o`#&Ybi4L}xb5cppR*3p}A!lI@vHK+S`#+j$PAIZaebDkK z^>1!~Zuq(EMP75nSlqO>=i+}95!;zz@a17MdpOHNv+^H#z^YPUI) z4poJ5uwf_qZakDkwL&ys{CAV=CEovaOY;@6S6&Z&=kjXUYa?Z@0{D^da*qw0UOrWI zRX35B#9-ndVujyR;OnL5+RIc*X2Iw}+*fSFTJ1`lBT##Hw9fA^ACp|A|Cy;f`-w6h z7`D&RDC2#BD!lyCL-4)Ni2mAQpEqIX+i9TXSm8z7wrK^D{zi5qmtZrt~ z9dIo#A$B98>tu3gpVFKJk~PsL5Ak=}?~kYVkj2$3S4ML1{13*^Rv4zPIAP9&9C_!P zxyCvOlU|)dJ|}}n?*>p7Fh@N<`)Tg;yHe_B4s)Ta98d5~O+vWSwYdYbX#(r2?sp}A zE!x2U;LZb$|H4c7wl}m+?h>wg^Wom29}i8;BBow%#Qp_SwqwJ7@K;V>QU+};17OO- zAma7-5zM=1uu&BG$a4OHpUin-AIoM_49a}F&fv~s-sszEvffigMaD*~Z`v2ws4nFQ z@?P05Fy4b0ukQ%|{x;SRG-xY1>pNnsDT@off09W0<|z*953LlfpA+h`Gf##gGBV$g zIs)%YJvJ6L8AZ#Or*;VXe&+Q#2TOi-z@Lu9-M`iT0O`+~Y>N|L_%>6La;Q8)lsCML z=&!N}YMvKN+-78VEv>)jCio$OP|@vy9v`~IG><$Z3hS+Fbuu+)%g&^IX?<_4TiSj! zI4|bzF6{GoE%??-^#Q+?=r!ASQh%gHNJ-8!=D*lq-#u~55FSrXsQSnoBPWr|&g03% zw)0EXQYo%Af>4Xxh+{*(EQ-~-J_@{X2w{J_41F2vIFFhL+kmETwz>*mH|wWp)f4uK zq(;482h76U|1|7ImsUS8M6dACPU;r>N61%TJz3RZ!WUUJV65_xCOZ?Sb$?k~OMTkl znD9QnBlJGMa6x04qI!$eMB4fT2lo~lj}b2$_RS>av{a1HdnzG=7Gq6575uTo&?< z*Ef&zI?-P-=k2FR+*?@l%!!&zKQqANN&;PC9(y%U6233?{rK@OjIu66A1(Svj=d41 zb5!*E?B~rNnrA#&xT{jfeCT0#tZf}g^Lf$RZNqzW9c6rQc` zTj_4fjhP!wCgwD`N6<0EdcO|1X~_Jm2JYW8jsh!`5@@F5cs$ayf@B8-d;Uac+Ay*haL&zvhy~W zC-XV~gAF|c-^->)8iiND4G29y;~G}tITu||0r)T*FyJX`O?MH4Ib=!_aocq6TL*gF zVa(`KHqq*X#{MNifG~Fr_7^P6iWMJeQk7B4eO(wUoR0tg9!GM_cJ#UHqekc5=2Kr&f7JV>!z>7hkl0tkJS!ZcYYeD`H;8| zo}NP?a{HF%uI~$_MO^ru!2TPy$fv(16WatTf)Dd%hgRo{@mJ_1A+K%!gRAa+;;^THJ7ikfNXZ4>178?FSJ7LGjBlhMQUCtUY~*qQ=kKt@ zn|Qob_qj>?;BTFY?c{ws*OK$m7tgii8+CUQ-o^`X1i8+=3;o!+2qtOYH+YZx^XOFZ z*@owZi(fXgSBCh5W=)7Ed99APsqeiWILNSNW?E#+`%wQwHr=U&H)LUgK7WTj=){zb z!v}=LQzeeym~KgrnFESFJg+qyzt2*=et3=n_ny_zWV7nimjuvY_DR|M(F9=SmNhO# zsM5AK`nMk;wyWmm4z|Q&tFm`X{Mm!L5^wd6o{FLx{2;Chrzj4l+Ih?9#UPY&;RF@p z>Dy1ebncj(rM!I`a7@7MTkhm9c`^_1d)jh+5*Z}ixPyJb-(@}8-AKyf{-YcAl{oJ! ztTod^=%nhu2_f+xgNwkj#o^})jcGhkn{PvzDCdoCY0CSl>Y=(1^!t*x^4y---f-t? zMe5oc1Bq2hdcT3EQW@uE?EmQ|7Dtu5_jipqIL+pSAU~Y>~BY+;JN7Df*=J9bfYt8bIJgX!^9D!YsGxP{hw_ZiNDe-`T!Stj>N2{&3Ei{K` zM3m;EOvHSQITjIl#v<77+gN1EocW(pCc+kaYRGagJuen~FvQn4-kJP)0XD!&T%@e0y+*z7#|d%hGRQUja7? z7TQII?5X|jgo~Si_vi%vI&&8KedbbNUn%o_4`<@*I`p$0aU4R_v~2aWjd7ysz)sbw zokA1K0T2a0a(I949KpB5SoBQ4RATu~t9Rj)iny8m&Kb0w^B$7p_5Qx>rkn)ZXvy6< zR2{lx2Ec#GrZqeV-ISo8(<$W6vmP3C+=a1FiafWZLiE)=pd*%b*Ox5iUKQjR(l2gC zjt%Usc2@$ZVJA4yzw;w@ebuR7O1P5eU0pPPCCZiny#(y8#E+cPl{mKIL?hfU{6NnO zrw70@1a7}!u${mCzhUZ&w}an-zyI_sV(jAjmYMW>=<%6H+`)szc|2rLhR(z02NAEI zT6m#tfY6TnRa0oFhKfkr;m$oE<=N-OY$2c4roLOHxitfB3Wb zd74eimzouxUOnQ$2{?rI@cI^$=2DirX)Jex;$%yx za?GoHXrEt{Ecau(R;iLx7ywShpSCde%|XsH>&!7vMk?R1p&wFdI^-Nq+f2k`xI24X z32CJ9{r5$y9;`+r)oZ@}&*-6M$`Zg-ks-&Khn?hRjX?j&ZP#n?`ee>lZmjZg&Ca@y z{l1p)U+s2ce#P?*%*|5JcIQCfw!&p(o0k!Zen+3*5&I?FQReq>b1dYIh{HJ?{ z?ypzIQ#m%4y#i0YbH@H-@HO$=adY=<`hMVp=Vv-h7N5eMBk1>ekdqJH6y&MhuEi@C z^ns=F&a&Z`VRH zlr6QiZF282^lDZ4g9P9C_>q* zodUlYkA=Jb;vhVn>+#X*(?1Zq??NXjI?d~@1p2#G+ndpn!)GK$iccbc9`x&ce|tPI=6b?ObkvSe)|k@3 znQ&);*ni&Qqpj;TR`VndJD1d_wZvau`9-$owwRn{pE3GS3fmVkarG@>?G8At<39+yeCYi;-y>N=N5rC z&V5W}Pdz8>O7dPCl%Zq05O{SYhQxDoilD2S3Cgp4}czqWdz&2 z)n|zP3zui{S28spd#^vu=7s5w4EiSp&d~425yv(^-i3W7FRc8=YyRYck;HK)kNaiQ zpS-u65Gww+g_p8R=2(S>_!}?Ukh#{RvVY%3-ZJYy(maIQF#Oyo)qizvOXB;SWKDei zbUZ}90yt_6ICdNzzbvk1@by%RHB6uGQY-tri z2_+s;68 zN+q_Nzx4_i&SAA2B5tLgF)NI2&tgH+QhHx2`o~fm4ASdTvNbQiqrm8cfLzeOCi)94 zDlL(Z6x`-AZ{?Zzlp0@gA&-MIxk&-H71clvZHZepiBEeg{MOh;b)YciTO|Z(-+@)3 z^!)uaCqn(5xQ~I#>FjbkP0sZVxQ|H>*%o(V9L1e9>|Yqrh<-7yFA98fBLlTcUJY%DuP-BQ!B@mTI`#CG-kGGlVC`ut zawfPRx;k94)x7pU(8rix8Re`ziudXC4p^K0$5JR=g1W_qybo3&zt8yW6;Z^T)|ja# zN?`sKd|+rN9329Ga@K?^t1|JtJlVPU`oH03@vV#*o<|#vf95v7l1z-p8d=~eT*LbC z1r(sR*z!zyIrsm>{)I82Z7YKF$BXMT`34`aSH6c{&VdR1zISsGyPH2DT?(|Gh30~s zTxl}zwZ>YDU)yvUdbIRgI!cf3j*4;AA9(PhMEH2P2lvG_L-J`K!MEgs(q=w%;qlJJ zi@(Vcedvu{HZitn{fI!h_uU+4B7flRM<8Db^<`-lV9&F6!MqR3{HJCu1L#-${nu~V zX^+OvsuaeB8Q-O<4$#|y{z2?%I)1LwgSifQdVcS$MUDr4u}1jZa6QebIRV6RkyChn zYQr9yY!RlMj=b&!+VfJs@DM$>CMFW|P^))ICE()P40jCId`JXQERM5s(~*Y}zmX;N zKQX_5^U<-yc=g86LBwZWAN?=zYiy~3{v_twqVGud7(aTeF5+9N`D?s?r7yzOilTwv zPKMvCfDimB4m6khrACF)C*~Z_4bmQ%p9+miJWwu*P@V6M2l2IQ(C=x)@pqqV>C}#m zncLl|=Xn$ZniFUT&V?gR=xJh%*k2i%qniRg6Z@9umGNM|i6eO~+C) zs0%wAgM5U50*Z~xXtPR=&QN{OKZ-b?eF<~$6JQO(=0hLj&(BkL<+s#TKWHp+V$E0p z`!Y{?_dDTFW`E)~Pny60hO^+q@aO;g^3tQ*CpexMGZR`Fz7#Py6c}9Jllu$&mdvL- ziM$vOXyg3#ewtxHTvPZu%9R+;IMdIX*fziTF??$*B>Oo^kI&FvlV@a>?7*wpxnv0IAR<7^)2WR=MPZ+ZA0EK;Ppwa3HQ1x z+_$u%Y#)R9MXnudyVJn|m;fh)NM1R8a-zg?Zn>uFeyUrz`k4{a5U%So+><7aKa_aI zk_O;$&Ww(g`@;+9W7;p6Z!jgs-8x(Qv_3$0Uy21Cdbp+kW@@SN8yBvoIqTkUsTKW# zb#kK+Wd84ao#gi46pA?iqf-27Q{Fp}vbyJTDADA7IkF%35&5*R6k@{I9$8 zokTZ|Q=P&|`x}>H|I#`9k5z$tlS$T}2e7Y1AsY9@N)GKZczw{DY$nE&!~?2<%QMBYYpiTNr7fKUeTzxo+Uha%<7ij)JdIpM}Bkj@ql^ z8>^hoQsiA8^aV2MhM|0xNRl4k7#~7SOK_F{fvqb&0K(r5KkA}wqBq^D^v zo)^C8hlCUG8qM!6CK~63iT51(#(qJuHRc!T%fkHfU29y(%-O03h7}mO+-hNyEqupE z<%5)y(ZomjB3(ZimAHU-2KX>ysJ9Y5=tMUD|8o#ic_{~`b_%7`Hz>k-0)M0! zs0x*zjQNFeLsbk<>ATsCK0de}R!7BTkmMmTC-XXUSAGJ;@Zx>DH?hree^MsBMBV(Y z89~}Zbl{ujO=P0u9<)WkS?KQLrJyw8SM|9OGWjm(qiOOkz`S1`3_ zff&9~mP;nCv=#2<&3k65%K+a8J#_zMouT{8wJCJr02j-Y7?PX4f&D4}g=?e8g@Z(C zCe<%5z(2;ovlbpS40Wcj$HvjFJxBU)$}tPyyu-pg$yK-iBU$yL@?O-Lzo4ec1e`Dy zBISu`CzE~#?*eXuJMGXL!v!+%T}YqM{aoG4{}&?nybS2CYzyD`hlTnqx4Wv}s75{E z&xXT4)`bU@rH_hHmNUfw*-)57@Kc5#E z{C*AnBAfQL#>TZ~5CK2Y_#S-lp!AmJE-5vzdH^2$p54vHnUv18A@W#J^;N8_z^Qddni1CYc@wt?q?P7OAYtM(F zg$bGio9j*KZDDZt%_LADtv*jhpC^`|Y#2+P^&afq}AfyyWp!`7|>H}U7M^)L7atOXO|BZ7O ze$1np0H_bBmO^mPcZ#<2(z$m~vVI<7D~SH^>-%`B1z_|1LAmN{Jyu|_UuOa4{Xhm7 zHX5tv+uQ)*f!3^KNx~&Q?@Ej{sM@CJ z4bfRCl9qFE%oZQX5f-7>h2xsf;R|H9w-5G}{B@tj^CH~p{-LTXz&9a$f6R~WoCk^a z6aQ_+r@4e}ZH<8qA|#)1Faf;ru)Yx!UX>WyM+Ltn=dj_2k^MkJ65@4 zM_pL(uxt`u_4#~*{gDIyFwrkucW@?9eF^X<3-`2Fsgcc#Y501%Zr0V_iausya_tB` z4YBo6uGqgIN81X#&>}9*+k#$IaBKd!T4?b7Y0i=e`VqLH_%A%^9t_Iw`=I}Y_p>L{ zsUPcm=!M~0o93qzl;`E=t$v4yO!Y6fMsDRAF1Rz?h|_H?_Qes$z2|j`rd7Z~#bX~X zocdw+4Vm{6Z1g^JH=QNq(3-`hlQMy{-!GBJr5Z#5G>g{g1xm12H5 zg4fK~A!g}|&sm=*_xhwm$;#D(A7&i*3YLeGl($f>f^h4bPL5YT;jY%h z;?Jw#>*0&d`Vbn$gXj1D)ce`sHE)($=zFt+tMa-hS!)jkzHi}E4s;~zzD1Rr?wO$X zz9RTUSx5WxrXf5cg zjB}`$PKpLk3~R0r(8s>!1zA9X`i(D#DrXRUe#rw44N<@DkwocP~*pKpKfx+iS-umS!Nwn1Ndjj<(Ll^o=Vny#(7WexhVv%k3kF1%S#Wz+|}{) z>oycW)ygf)r{_zbYaVhu4Vl-rDMWL~bq_=L3=!!Md@?ne$)6F_{Q`ek#uD|7P6~+=sXN9?pSGOVxO7AGnvv^w|z zymyTV*STyJ5$lm&XTqojYLqOhmlL04^!Kqe0fku87nk{2ppOA7)IDYdc$ds8cmaPh z_kAS#X#Q;M2V*n(+L~lL(|D|XbKoC?3Kn>CDE2q3>)AO_f5gasD?g5;rx0_s_Tv>A zqSL?+BOK&ZPZEqnW*Q-tFu~HuAfDO+|8pn4W*#k{NTaSCDzQH4t^4g|nZ$DEd0*tb z&{yrd(~W+G%)X~my!vlGM#=NrJUy4{$iaucBniOOlh0}RG_&TMu3*2w0qW7gG}#Y- zfwPM~2jRAac1^E< zjHV`?OIIZk+KG>S)82zt9|r)VUYY-3lbJ#gFY~E8S@ioB_rMz)1aMXjFVPqGHcZys zK$8l@`QXOrk^Ap`(%t3#a;XpO)PCT@7#5p{`1b&hiT8MqLueZhGB*fezHhWJ{KR$Hug}_H*foAYNU}QifJ!}rbP99 z;koyV>jv+Ww`FEic{XtWihC>P1Hbd3v&@su`e2ysu&^BAti4c+;D-Sp;;*sUdJYZ5 z`NE&Wa^q+Z*1oY{29tvrP;MF0JArwB5g+smJf)Ay=VTgjyvNAOP(Or?2YukZPs>F0 zg~4CWbIY;|ncBY=9He>C<8H)#^A}phD^G4{G_`<1#^W&f5b{BOVDNk3T#$`$C8OZ? zYmYiUm#=(v?pqp6{MX*@Q>}X74#qE{e>Pa^lk5afSfI4p|O>-Rp)vTN>^6>*WcqS?D2b8SN!{a zG|AVu)lYa`F1zt_yan=A&j``!TO35LRD{P8LwMle!SWory@^TtrDMU#;iAxA0|;x5 z?-p6M)qYgWFTyLxEt|)yIOtw{Y`ppx@5E}({M#a<0c>}fm|tZ73LmQMC-A)V<%7v4 zOwa4KPIB%J>=&YaGY1oiV<-K~S`tIQAX8MjX$T(kqLVd$f z`1zR{_Th#n-M}^FSfgYLHorn*xxAiN3Gu`=N=}`iKLJD0wO+o#uldY@X5GhC3n44E z=N$Gg<1SmsJ?Ns9t8%(u)TQa)pF8sOn_THLcYfN1-Xxo^q$2c{?dz52QqXP*t_}$_~CW5>5V9l=J-5>hH?#y*? z2)UT%Kje=XJo@DLgX&dYT$FRSW=MncY@ew)Z8;sSq+LBFa+^^^oC_MR%c+V@Rw$u>) z=#L)iFI!ew_k#~iG?aar_wDID`^>tI6~BT5{E^MYPQA`$qwaj{UVPsS{#x%%S8{AK^JZi!XZ2nnab0}PZf=C_$@<*GaoTq? zC5jjm(B@(eNv`riiQ&sevJUlxYm@i8S#uxlebi@nF-UTRALlu%zjmgL=B7KEMell3 zy$AXI^t|_*1sN28>z6}P3RRQ?q1fQ}Y>SE+y4Ui-&lIXKr6<|%5TQg7=Azo`-px%zz2T*+IObizf^<@&R=q_>(1Kg&$qaW^n8xAPt_b*mc8cUBanYtfeikHSmn9iFB0AD zKyrfaHEP12JfO`V$zcfuo5g?qt-_QS1>S}9mA-+05Z}(2QHi4e;|8{eS<;W(Pn;4fx{||IyhnuFoNrtOH@_IX7}3vK1!^v)p$~DtMreGg zA^i{V!?5l%etl&^o7CIc_f2HQfSp39AyHTwkU1B2vxG$2sf^H%Gl6#?Zb8+qtXYo7kn`|S!R4aR%HMexd ziG)|PR?j_)9w}vgkN1o#Sg(BHo}vAkzekeKKZ(v?)i+W3%;v-DY)BG6{Gsk1dY?QP zOUEEHde$=wUm1u(6hwF zQlIjTUFom4*TTI{_$_CG>1z%ot^}9vG6b2P7TW7O3+IdI;&tVIvu8@K`d6NHA^xv> z;@%{Cvg?slw0p^jvN9AZ=Cv;Qp)ftx*NOSO-Td>?jojJ!l z1NmMKr2UKg;`LW=2R?~XzO1Dm;Z||rW*@WY1LLM6HyFF)yUA^FzDk0<*bu$IxhBEw zHPJK5MEDr?iTO~*Z`|uoy$=02X8Th+-D7=GRert?`=k=ug;s8#Z%-#s?671^9Btv; z!oXPSD~7ouqmBRUUy`;YsE^bmfQ09shdv87Msy9Mmb@_Q;Y8=LUVT$FM0vgGi3A$Y z!UIoJbd6_lM_{P zlmqoeAfZ08@ef_gxRB_3b!1=KTxab$ISU>vu3w4evZ-Y?kXuX2p8slNl{k8FJ6BD8L(xIM&={>mkK$`Yy<9(gRgYuv5B=L=p@MW{Hu(prpRPSUe2edR$dDp?{ z<4fuH%BT=eaI+npg!~iR1zWw%Df6w|2lWOZjq>2UcI=&+7?vk<<2LkJupBWQzD?mY zzHk=*$?;7#$}NWO%l#T}EqhQlABH@R_~e>L(S}L4 zz3=xjQDgX{?eC(Ok~!3|;Ee-o`2BtC(|K)!{g3#=is4TNaL6JknY4z-i)y}kP;tbB zWV(s(=V*R8`W!mVo=Neml0MThkg``xYI{)#sw3BMsoW8qbUH@w!4E!*d?G`nu7GdknxG<49yGljhF8i;oI{9hOQMOt86E}p@u}4#C zm&1EV?&D!4hV&E#*Q6ZSUiQv3sc#H^5BYpw@|RqxC-TU!rPlndbyeC2d)YnT)UrNs zd$||&ii(rGz!BG2DnXMV!IP3ZScV*&w$s-?3+V6(>MRI?Y#_Ak?2K{2P zNV;jj1sie9JAy!)NWa<3Q~Fj)k@saxZqD!N>Wh8iPM{sWiTjX1(&vlkMRJn)nZ$88 zuls=nw~6@*_{qY}gPuH*jmo)E^teWF*tvSSG=V>8bMG6%{clu{KHAw0sk$mp`QR&k zsNGj+phkY5e;mu}y6C)F)mCx_hwytA-$FnS&D%lemhZP|igMd_!*2o$(YL~}mjGAiTGeE-xdFn!G7l;S$Ro)nPI!eIf;1=aveIPQjPvh7S~79F-$^Gg zea~!7R$f=N@{|Qk)~e<4#4*H<5oJ8QDc8ggbG=QT_F10Aec~4sk$f3I-MN_Sl7;p~ z)O91I_$E#8vX;-^_-(l~eChn0n3|62^C^lZuKzyJJ4*M#*KQdclfQOtyymBl`4F$w z{+yH}z2q^_lZC^$ERf*(8oc48NqvIgM{wM6m^I!5%>Q~9C49kNFGh;bcQ@{}4Y@$U zFI+kP1-aUjaJ$%G9eV578pJrs6Q1B@qIb3L5f4HbCnc++KXv53l0D$_1E+WSyDHjK zb}L2wnhy5Fb&so?$0;|zd@N;gT)W$CgKbVvk{b_e1&Cfp7w2b z)m45ECdi?U<9jD6Z)s^NG2SM7Nf@zAIC?A*XsgqbZ-!}Z3_ss))9?lLj-^MyVYEbk zMfm>h3k>cn{pDZuelUP#*BIUJ9tHQ1^FL0dh6xzris1E0e_o%;Bs%90$YXLp)@*yt zahwgI(|;{0@9mu#=zn1!OGY}q1Yc>*Hh1l#2B(wl zHbahi6UzjTa38Z{kkExdy(c$wBZLP&emEPaf8NJPn#?@r={cG+_9-zOIOjj#nxvP{ zIgh^NpF>q2>N6*|PG~fG&)69LGq{6exOvY;b57W^WibG?zZ02I476f!y7VvZT$)Vr zy!SQTGkU_%c;7OETp8GYK2my~wt@$HX2tKv(k3UVza4qx)Dix`8|kFT_U#t3LV9 zs4|Y?CqsNs^IeJK#*Zh|75{!{7xeitxMNlq=>v?4j3(}jZwNlj*IdAK=7u5s>h$rn z${EI<5kADS;yuj!EX%soN3T3;OTOzLsB=)RiFz~8dVDDHF`=?6vM zD;|TsJ-}6uK#j_vF1U|j4=@NijQWU+jfYsf7muzX`a+zyi3FF9=Y@Yg)sYuH&-bBU z?KID`y^8QC{R_~y%Y2%S_QW#KV)*ie8~hIXID-U-7a9EP?~MKm;Tcv1hne$X4hcH9 z;CT@)#b4d2J1>5(1q;u3PoG5HGcCsR0@?8@o)_<9o7N4*^TPc%ZbjI?ND$FN{ecuq z9T0#S1797-T_$zOH>4){ZMJf`){jwc=3a00>wwSC`{?X3&dQ&O!n}_f|KNqRK>)0Hf3zABVjU4C=vLk-Q9*d@IZt6xIEAPPLzv4{M!NP(vLWEW-?jG zf9@G^h;_`s{ZaU>$B zPrCNW6uFb&V@u&{;G%?DKEyS&b6#W;*8o0xAE@_E4>#f%MkCBGY@?ZYHcF?2|f%P46o5d*ZG1iwAUD0g-tK5d7j!M6gp zT>ZLH>L+{$|5y|P8R&ccb|M1fr+f%+RiAm8nD?P(dBcb6J`=?@lkvQ8Ao-w)o?S;X z^^H&hJ>}rDmS*L_){iFG>qmIh^&`}yc>N6jiy3Rb_R;9)LM}2HK2f%>7Zev8{Q8@+ zy9P1ta%v3n0bc>s{2F~g%QiaQ5BDdyeo`wH+0jM&rs;=!R244o;J;Gzy&P;$FEWfS zx4XsB2@c{mi6vgQUcYkN5Wl%M&KDN28-ovnJ#9O1xp$;Fx#sTY5cToj z3?k_*>RV`V4`FkM2=TrC4So(%6lb2~gC~Il&0}DO>JcB^$pXIC?u`=l9PRF-@144n zXe*|t-x>sIFG#W*!40vPzK+*(t`&a&I3Fr+hdx&S(S+X3?i*-nxOEVm`YPCiB_-z( z$D}F;`Y2}xI=2IZC}3>Xhy&Pyk*@pUf5J{~sR zCT)t1V)XBv?wLWgIAHZGk}w|se!Y`P{O}vkBxw#{q6hK*>_71Om^W$df?f%5*lJwO z(;nr)@FR1dZ8a~^dD>u}kz8Pxa>D7#aEn)6uQB>8#7CTONdHycJoRzL2WxNp41e`= zjIkiNxhe0VlC|({+JB!*CjR~2?V|qwY48nkusAu2_+xQ&C*EUR81dV9;#kVy z8os(WT%SYR7-;-!8TWK|p!Dobe*`WazXuzIQGXN^&xilnf)}7;qcwLo%#YB*cyjg; z=-!-Xgr00*finpHe(?{CE;hd45Bkd*!hN}j`<>(gz`GEgVy(Zv_u#h_?$PTi#C7H` z-=*len`E!tiZjTGa!(ihqXT7Nxn+RzlM~>WKwRq^1s#O_j;-O35r1t%%q1*zM?oLs z`(9`GE%_kGPNZY(kHzyclVdce!U*B1;?v7Xd%Uc}mG`#ILjCN0W2qK{DZ`#% zq5q|Y6k-(`>^nF%I9&I5OFfAn`zMKM!VmMn=Tds_kGd14zC+i*^&Es)bL$h{gc{p@ zUmnj?KjND}n!Y%nXamY#$>=(v(AU5@<% z7fxIZqWf6SUF_gOjM?t=nXT;6lc3{Bk7xTHs-K2t5X+H$CZy058RYL7%*ie4n4!Au z;Yi`uPsTl*xr{j{lSp_Wi#*5;diiNv^c+J6Z0?EPW#}#`1$iXB>h8$|8j0hXN?!B~ zaz|_5Wa$x)YgLZ6L&oe}E?)Z5D_#d@64;!S1H^1l`th!C{C<1Nu zvuWv{j5`|;++6CadEqH_W$)kc3-Ff_H)&+;NUu7zZ#4A<`hNJHGa{0@FaHaK=bMIb zO`k;2EDo}M@R9f9?S47LxcNq3X6t=xICvKT=$9@wss51~N-!Je4frdUwsVixnnnoz=)YRTT0-Dz>10dF0!zv6kh*}z2YO%6<@?LR;%|2d3=CjvcL z>P6rmlYRXS@ZA`|*(R1=15f0S9Nk^?3miU{Z*ZPJ{|4rLUMrs+Lpy=Nf0F4_y-HVJBla)C4SAG6o^AK-Ziu;wZJJefBQM5WOI!Fiaoyhu zJ(Qm$$4a8F}j ze_)+Ry7Rs7R~g{J+VkSPT@tnAykScZibEXmJ^Xo+n|YV}e|=0mS2sjo(vs|RA4br0N5$PW9#o#41`(6oGmeQJaEn)P`K4W?**&^L}Mn+rY} zT;F|sm#gZh%faV|Ek0!^<_7LNp65u6X&)aGuRKm`aBW^Qz^c#~h&b%ZhY@-&?CVP$ z-*}7ph4&JFg=K4R%Xsa3y|)znG4|&n{~~fK{G7X)b7B`Q_oUHv(D%wh!5A}5MxE29 zuHh7en84!s*wZk8dC5IP@+7Nj5MxnV)-Vy;o{eMsu)juM&b&;2^()=6qhjp!hP|pn z>^s}GAw}mrCwm&i3#dBrl83zNhkh}{Z9Y44%MeaDdQT^A!y?baUp~JJ27$}9WX!LY z^F!&o{f-oxD!^KVL*MU6J zze6ld1ZO9=XEqr#YN2{B->8RF)S~aRX#j)MItL1m=>0Zt;?t+W$@j)AE-o`UYrpH& z%9_{syDabT??7X@E*?Ff&seYZ2%>Tf3^`h8@Sc1pikf?^Ix}w_e7XF`4?mkm_-=9z zj7Og<&%5v3m2-=p0qHNm`NEIKsnwap?LJ=koQv;!u^Vv>?k~2;Ayxy3^$zkI;Lnr~ z%Aps23`8zAB)4$ZS~yMTUYjWsc7~$QaKB^h*6JW4#ONI=xDaf-14n1t2v>Q~6ZEC9 z(P5vH^4Di)=sq0%hQCkXrk{HT&n4?~(@A>SD@KwfzU&1bvXt-FI!X21b{^6@?*xBd z7W}%iY|OL{h4MvX@+g6OyF8Og;wSaJXb$=!Pt;4+_jEux;gOyD7$J~|G(dNKvDCAi&@0DgGC=bXnk8W z92Bv7Gg2v-g9f(Y>MQz# zgbP2!=6|`97R2`5tUQNI>Pz~@M|=3b45qfL9!!jF z;zAv`N1>vv^eX&2%3QYh??Ip;H>g%KQ+wOy;r`5A3(cv5&{2g?>7qjO2mKWLHCq?pT5W=v)%xGY%wrYox$fv`s!}$An+~!yD@uyXtL&I zc9qkgt7|-=P0gdq>m0g;`RPz%zR?Zx=;`Iqqj-TbEreEM-PYi;zvdd-S`e%KNtW6p zHRPzZ>bJgTy}wuLDx9be+vAmYf&LHC2OX~)yat%y5UKv$wZ5X?hcyAW3H#ZO2|3E? zgw7)GhYRR`LH|hN%TQYSwDa$t$k$jfKt45w4x>i&@L@lFehcBl<=a3{F>nUaOYuFYHfd(WX;_x=x$mslH+4R>aS?+D>$Qhy1E!W}z@7m2B;xFqU_a zoKkCWI$7U)cO{lAoVdC6j)8Qh`&8uh#W(sFIEKg%blQ=i+^Ra@?(ydU^NaYlmxstX zSTGfRF}Ma^TAeC>s?C+dwZG#f(e83cWT2NtZ0;2-_4!Z2`GS4l)EU{-P42S=2HSjI z{*X6Z)!CWa+u6^97&p80U*uod zINI7r_zj<#Gu0>8I+(cj?A<3fVrpjNQRpFSjtQ?(wD{s3!*a!6d3y1EgJZFujYgk1 z9-q%O)|c^Uwb`-SlXWqgkp2fb4!xp$ zp?Vrgx1IBwbv^DY{W~j{f!l;U?SI#D=qT?O?Sgc#^xC9882d0{In)XFF|Iit&~O5A zjI2_nQN(!3N_FxGHvY>-uL#XU&%wSnCk76Iyk+w!ah-r{YeC%)Ai=N9d7=XVeTFm># z#^KuUc+x_8>VLxg!hH~*VcuuVR_@>egL!kEe308_Yy|eY^0}YwEjfW>w(pH7OrPJ? zg`T`8Y+;4gR`hR|k!wdgW=lW2^=f;)Z!{dMKGDC>dk5a3-;!H~aMSKYP%+v|>tny4 z$>-^P*M zajGAzi6*uY-aY_7KldR0{lMTU`MVMuVmY7i97rB2%a_E?dL>x7uiMM?u`{;Rv-yU; zp5XQ6ux@vxhdf_ZqSMtsy9K<9%(<5rCKMY3pbJ@_$k6ZaXr%N8KKjfgdBYbolcay6 z=~(y&*-zUtPT#xOzcA;>^w3Ng+m}`Cn5_4Nr=HSd-hEgy4V3_LIq9#vTr*zg*t*b@ zCBHa5UwYpLA@|1nvOCCctXz!7rXK!u;l22xFpA-3O~Ooo393(E@dGc<fuS)n$%AniarYl`c$!_5n>#vDm}41z@H4`=ioG-FxFVLU-mI?i^AdXq#{X9x8G4mzKg`E^mN8hJ{B&D)NzzxENSp zlm4(xqrqw8JOcLVn7Zqf?)E0e@U^x9KN&LU4o_zqCJ&aC%#Gg<&ZZMQSAAzsZ}FNt z^=}9*VxtCfzjCi_S!j5|{`mAkgz5slJ(VB!SGxF2-{)uOKJ}41F&=eq7S2)j2k!C~ zzv#W<3_V9IgNfJ_OGT>xbQJ^`DX3kXrSvJt!7~_Tdru`WV2Im!iF{$On2e zAQSyf60?EN_vORQHM-x*5-#|dZ^2K-^{@)^`-2e&JA=F!*FvVi_bz=T+reu=pd_MY zvig0Wdn)&KTr&0GqL`26q(8<3es$5C8n}Q9 zy$%*MhQY8~TyRVwAr<%a6F$ zt_AY?jtuyD6|Ni{+((t0USddJ+mc#3r&P^SzVQ%Gk{;Np0m@(OZKr<+MA#39?6;|1OlA*K<ImxddLavMtrXNUs{YJR<1o>Mk=NoLuoHwtu8Pes3%Wj^e^}XR5?}fgh}tyN!Pz>S&8E_t`6- zx%^n=>v#s2aheJZb`70=6`}Wr@t(wW_5}TBag_z?z9I6VtLyx{)WAM zQHx5J@KK75t&%VC`oMo;FyZaD>Obff!W9{8D_kU-U%>t0MeWTV1Y6~$!z<9^#0T2h z6y>5GLH`T$civ}c@0uCht^=j9RVtcv?=m-uxK8NW5Dz+sTtt5-DKS#`};44ABP8ndx5$?{s#X0W=MXX3MF5@Fs6dP%h#-b zVrT?|3Ul%%_+^4|ngF3z<0J)w1auAgm2ivlN4}Ib=2xNVorN0L=xKjN6+zBAG znVj6{ZbzbTwy&o5@tMe{pii^*8++l`uk-__iZ4(VN39Q0o{wvy`2QMROi?aSNtpBtJU$1Fe}IQNn@EikTey?sQs`Y3FI=sVb-{{x4bYeYOSzntRdaDP|Cn3t|UKy-9;LclyxlZWKkL|{bFDY|_Co$IVi(VOe9&O81 zf3mFyF-~m2wgfs<6(`>-^zpHd^>>E)HT;4p3)Answ{FB3o?nc3`i5T+InmNTw>d9Y zeE>5a7~*ppXiHCv9UEGFgZCRh7!kh2^?udi?-id2<}j%r{@GSJ7>)C24;R(PqYn!B z%0HWBXrDNEp^{^KRcwe3Tt8Ft{tp*L%3ObCn2A>L1s?ks;jATj2p{-mLL4RV2L!%E z(a~|=lU#mGG9~bW-^)wRms)4B59Rm4fbvwAg`TCVm(KUkr975P*28a!nDN(fX1$j< zj+I=^tkLilaz6W}h4P#$x={uGAZON-+}eV3=#hZj`**A(oyJ(*D=0>Lqg-QXi4<@a z8v9|Jn9(kZ*cNzw7xJff3g14uluO)ea~XPraI&ihiJ$V=K9hXTKVcrg?IZmz@@NYg zeB?Vp->;Zokd_`d^o?0L%kB~MEpD-ok(ZM`ieV+j65fA&U7I%lW3kS$Qx-8+KKB<- z$(aRq9<7{u^u0=+BD5L-$29NQu~Y(0t4-tT4*K4*K@TJQ#cP2FEk2Dq2G<~)EECmN zx5{7piQw<=!GlicFcLcx{K*JMj5@m~MEBz(6UiOL(_1cq$B6#7JI}&MFl86fU)coY zGCVH}dGR$$`z)$szt8*Lk??H~W?^kXfx-EJPC?n~f3AnTJYPH>dYA3RN)36=6P(H7 zR3}94tVFM^iv0e1jtP8YPv3I^;+YWo1K6YYU4vf3%5G*{J&>iBefW zSn5G@fZxrU1HKnyH1HG z##Gym_+KB%HG|is^McVw&N0s}W9b~upP3Z`l+SR@f<#vN)m858YhGCkcgYvJ)ZG22 zf1mP&Be89|q(?XLd$h!A<6c72v8 z{e1b^DcZ}tGmKypDB3;~_c7q_zHJ2_886nyTT%+^aYJGy7dCnt@|E0!<9pqJ`O38` zKL6ZjGpAAz{ni);hI8KP2Zw)bL0venGMowR+}~EbU?u*m{bRBv7xir}@}gal?AaZn zzROX;#QU7#748@>T7p=Oe&p1wL&LX%&&D>zCiOB1ud^_tFZwCD7wCaI@%qLJIXRb5 zoUr@6wTBFOliqysZ5OPZ{bO##wTx}5#M2np9k+hR?_YYLf{^!PX~Jv23ttCjsgF1Sc+j|A^RbkKI_UBKQr?|iQC^IDHI)1o;w z)An{wR_^5Ap7a!PmI=|xdhRSQFMSt}$AAxWe_8a819J7=Q1`mQ@#Q-`kvCz(RgJOg zhroSIxE@*Pd*yr4MOQ-lCgvS-4BX3FF5XPzxY)6Yqvr4$V$R@xlfBXOi-7uY?(-o3 z5PMhDv+fz~D>vPqgh&_xy8~osN#oNuaI?Y6a$yf=oYvo z*}MJJH?_b_dl=-^I6``{e#Cw3{c?7iml)#LyHiX3-Nlpi>&EAS*V4BRmGKAr+YwUE z4LdZhru>}v)H1!mo*u*Jx#mJ_+4)$u527XH%Ynx%&H@~(2$`{^Dl$;)<+#reWuN}Mm! zib~6CHmP4kc<18 z3-^wA>pgOFhW3*ey{=a3qSwMZN(o|6*nb{J&93#- zCpOzmg}@RGaB&oWj$6|h-`zBKLyy?D#TS?*Wz0l=xPaBMVsqi(6 zzzMdnvI-7V&ZZUzR5ou|QjXwED}(*=avk{c5z9W$zWK)RQk{UC<}Y zd+Yb$DKST(4Y=cc?(8cvUXR}65EPt13%M?>!JIXVM|k#qXqse$Gis|B-NkCh3owIpQZ2*t7gR#+Q#~g$9{65fZneeC9pkb zrDrP-Vpx!JJutrr*PvmkA^o_Qob{eky^8R8-Y(51{(A2j4yun&52JF7A;9N5ifzqa zMMeY{UL8gMO9wPL;dxu;IT%lcJK^w@D={CjW-`RDz>n-Z9>dOAb< zlSc=WtUv#A(;lRL@l=V8vOA*17Z8W})1Hm&S05PHfq(hFz*hFCKOqOkpZlNUe2KvI z{|f%0CJZJjK))FD-RW0tiF>f>_Rdq?0=}{a2!2fa1imF>7gnZH%>s7r6dRj|EWb6O zD1!voHYifKN!fNL_054J#yvtCCU{WBfRNp@660tCa^&x8o9SzC<0of=s|4=jxzWkW zK^f*n78n#PF~59>JsY>Na|O!9IZ=IgJY56-txrm><`>ppH^u?*_4{12`Uqx>l|JpM zkpTqvR=}-O7P{~6=0z{#nPavR7Vq7k#gM-^cTkC=~(_jEC@+K_%ZAE^+GK@wGcBIgb6XnlsK)#aQ&NZ%(e*Nj;WqdbF zYK%Ib)96QDha#(Q7QweYl!3q33}4`?>W>58mG48&K{^Nj>8(9b+rfw7{={f!lHQwr zR?_D)!7rO`aGzNX2a5k3O24%_pV^(hbck_P+oG(Ua9 zMea38b>Z`54CJj;8iV%5(+811=f0q!nZl{Ih>sM%YuE@A4f^$q@I3Um%zzDO&??-= zn6t7jj@q)I3?JuI1T8YKpXYvtRiKy}-D;9YPL4gCE4`>)rw9<{(iYg3Gw?lBMN zv7_ucQ<}xo1O{?FM2@;|ox?MNi;S^Y4_?iP)X!rDU#bX@;lGP=38lF^AA>{2xOv-S zfzpfm9QQHyKQ=>tUycL#07P%Q5Tm_2>-@wQSu;-0QBMo>SHh;;tD>1Wl{3+@#1OqI zzn1jDG+jDL^LgO)33q&20CnTP93llAtM zVZ_&fl*y#$ebaF5N9tuM^ZaN1!A}PE$00MDSdM!CxWIs1@b#DdvQ-yu6r_0)>|dm3 z;Qf2!^(s2wkq>IZ91c<0+5{6)*mUTW zoAgaPz-PrW+2q)0?ax3yO8N?>+&6@)lVmHo>1)Vo{QJ+0YL(0RDqnR*u%5S=U&N<8 z##ZydZS&|~U_8b_FPEM~yA1V{ho_Rwx(1MHpeJJuy7pLx=6_C&r?-#;W+49}`qSbh z<>fuqMXzUB`J8{(Nt> zUspI1*P@pn8LJ$d;%U zkAgo2pVzf`6QLb>%&$qI;!n(n|Je`i?T>$p(Y*}(Fl>`9o@Lg43-rBmU+S;z%oNJ! zplgZ2?X@#YYf&0%mb#ptr1QZTPvw`L4Isv_1$491oam*hlC!wE5j-W>cD{aMFXzRM zy>XgH>=UP4$zFF1SG)jSR^mQ}ZOr^Vqv)R>tv+_e{KDAWBJ^4C*k<>dX^I@`HyPOuU^(DL$YR?FG;}5~X+L4Yu6N9|gdJF$(PG$x@ z1rF*T$6(@`iwlKr!dnVwpDOzj=7Z0V`_ozY#<68a6VH7^xb@)h*`a_fa)_C(UfsFp zNKaqAU;h+Lh7-um>zoO0&2VnhL%p^T$7xr#8qdJ~hP??-M4E%+;RtFRmF}lk^1sHrdC8jMe!EoUNVV zXqsFOJ-PbGq9@N?iDPsZ|FtHTRjOl-=-L&N?p#OW*V2ll3FLM8dCQr4Kgx_WOM9q`W!kQOtGPi9E9Or9mGP?g98?(hGc)G=GQrMV|9h zmXbGnmm4cRaSJwpcOk-3fx$l98u8iE>w7F1zIW!#HuVwz!148^2H&q|9C6mUs#+E0 z#O}%_uFV~L#9sFhXOZ9MBEU7lW&Y9IMl{z8KaWr!-d0ay_u{}2;CQua`=`YpnaVRS z@1Z*5rUc@AsrwCY0_|;`J@hg0+xbIp;|oRk{^SS0>bM^9n!EccTKe1;K?k*#7t8}= z-i+mWF3&N?bFLfr1Acv+g&&5;s#Sjm6R%gpesflR>5i@RKy06sNApf0(b>{Peb5CN zG!NL>sDD%GSrHp7ON;@yPZ#1oCOnP$kOTiIn< z{ul7!BW4$keWNedgY$xu38#K=0roHLI0k+tS-3H#s0!4C7p6bQ3-8BjdMrM*AM#7aG?y(1=(YycjmBJoJ?wwu677F9&0gQ|nySYbyrH9{$yS6NNK4^+Bl4 ze|VmSPwY8?CXRseXg7*L1+;Z}Z>ERLc^X-E|IRWKuUReo-!~+;8&_NNzKya-_>afY z|H4HWBS#a`d;JIb*ikp(M^+=rDO8?hOr9Z)PbpnB6H_kdFjI4k$-|OY1d-n?=G#s({UGVdNdem{uZR7=lII#98 zj1J~wV!lmO;suiJ%y4SDXWG1fiY#T{Ic;^U^mNX`=Uw@g*A4EoYXZGXa*|O&#Q4{# z9emVh;ZbTZ@44PGXBxSd4eC}@2>EP7TDIogX4zA14(6Cc$eIVsk>Coz)>86IksTlf7rXtSC2RRclzrLX9;F@04Z z=?b0_*P1;XP@e+u`CWJ}PyO(dz>R@R^zf_<;_HL$hg5w}qEBwq=5dk#?aNeNRAeNj zvEeqzL`T7wPi&n`SpQpWhToEL^wYP-3GeSU^f|7nb%xJn3W@I6p#uGd>-*jN@x--DeOIAR4?SaFd0jL7alvoC2>DOk0xq2#tMkW(0L>+| zwWPcJ^K0NH_ZL5NJwgd;jo@AItKr&jk>p4LAN&0MynGDFzWG5kq3r~L>03q`f6k9Y z(q8r@MEXiT?EB5Rgmmh%jX62Q^6ZH7frM+-kbYB4v={uXN{i7Cf!xz@+g#0MUX7vo z^|2{E?k7Ei4e)*v|F%_x=-~^##JMV9;`@f=-D=gAenWHmB;5nJd(zQAVMtsYKvc1ZrO!#3{PI_N!T}N*#d=#s|>k|Jeo-3|ld-T?ma@Y@t`9=D<_LQe==6U(Y z6UxlKpXiw@zPQdW3k;r~u5EU_;?(U-kiZJ(~e%SulDO|(!=*;Ln@tsTJRqCec_FP zBf@*(daq(t2e7zffEqW=`EUYpN-O@}DB1hO42EBs_aVq5i{BPJSlGY2wVMH6JFbEM ze3_`d0(f4ezk5R%S>AYB)MODUU&ao3YW`sSU`bzceaq-ry~oeWRzE;tfiWC=n{P0` zl!A{v#WzUL!$NPuwiC)tsUiOPmDpPh0oY=>mFNsj$D_}WjYhHd2L@wtXczYT0ES<8gFl(EBwoH0$NI^M zVBHt*E92b!U@Lw$ixGM1lfiQYxvOF&zcOx3Z}|E7`h83DPCHv=s?Ja+QuK*#7AASV z3V%u>U?A&FaKOD1@zokb<22v!3cVCq{LaE2g5x5wj+pQH{)T>J_B}kDoUFQacm>_- zWX2PyPdAT@%a#51CGcRm2hSP4UpZf(Co|{$z)R$Jhj7ryLifJq+{$=;^|Z%(HFz@o zq6~DTi+2DJDM0T8g95E$Xe-xn*SKY{9inIwH{KTh{lPJflrbYlqsccFF^%zXy^tEu1cQmW=+OY8|TpedJE z>Rx~LyIAV?t^lvl+lKTRU|%Ubr8@q^xA9lw62uqUs2{k<%zJI%qZO^>~r#!v*tt^RFQu9$KRIaWpE#JVvt)}2z6%RWqq*pK^%WoWGwk< z;hdURB9vR7@2NfYF5na2axMR%B$N7bps&d2i*ug6}QQ$zb^T`CP8i zpIya^dvuJKeB6R9(aNp=Hdnd5$QH7lruj2l(eIayH;b>;GtXDKX78}CnpU()jZzYK*>`SZv{_@``+?H ziE+NE*zfaLUc3DSs>+M3_M_zQpHzZ<%NCHahD4~3HN#9v&b**Np9N}-W(CzImK!_O z%%YbY5g0q^NsuQ7e;6}b^qKF&?1ayIJFuGYD4SV;pO1BTr>YLB1Fr)&&*E64!{yNT zo6iK-I|gGSZau~M(hnf30sd6XLKpVl6?tq*2~!=uj}zhPt{HGTM0%Q9Vt(Ozka5TZ z3g6~lnDlr=-vAF5KI^el%I25G<>(0)N8&mCVbihBGtR(o$@`n13yd$(AKfxHTXWL$ zg48eW3oD3k@q1M?GT19L2Y_7?up>JZEkTm;e?x)#^S-E||x z_6Fr3zc0E+g&5)aeRb>q=a=uvX%i?Vs3w@T68!Zj7>6KamPKSvH7 zdh4EJ@Wb)_$L5;B_}04zpeM7D3jI1SpN-h0Jfz&#ojqcPG1ML>FyB27T)O{2!%HP+Z$jJ<0tu^TJcz=D|A zW5pKz*358z-}&cU*ST_xyu5oq&#YPNUiU6dc%Gx*pI^JuY!8qp?4p!wgt=dOMqk`C zBnAUN4EKRtdgLy>>QkVP!G_@Cem0A$@{6iS^Dl3gWa#(mXfUz7TBQ#9srdf+I7+#- zk34CYfBKEo>>T=ZvFzKnmBUoWXqBU!q{>AGZoxHzYFMe?Y9h`T_N(}~5L)P~-Q44? z^KBj6$1oq+)UqVDpB7_&xfzQfajqTpW?{iETJJmXkI8wIaK}K6_4oP9;s~nw$fo~} zR8CnJ@RND1i2Imu*)R3bK7*71?Om)HPd>nuHSL#3jE{SWK4jr3rIYxuCLy0Jy52TZ z8UmWmW%&8c*gy|GnYW7LkLDS_!T!B;P$t=7&_u;ve{!lko0`k47IK3l~{##PP@B;1}iFKtZhKPt46Jxb7(2{<2SFq|dco zZlv7%)*)Z1`R8KIr}5q%+~@`Ep^t^Y@diCv=KJ0Lls5xL#QFBb{T;#Zk1@|^tYfZn z4m+aXW+S?Et&$}Nv=jU*+ufJYtZ?5jWdjfLYqCdd2)-r%y{@LyU(CzcF_zelZc@)# zzRz{K#b}S*eQ?0=zD=lw{XAb-S|w0kXDmEQT(nmL{;{^K%hoX0{ygtkdV}~xOTW@y zXZVwO&ovz9Qxs#J#s_MTz*aBy*~XhFXQE&L%|NY8!#mc56jF^W_{S2ssHA^a-Phzt zs!!o`r0}BKJVg&L);K0B!*##9(Vb>KOEKQg&sLoaJut!t+2l(m9@_#Mhi4E}^YU}N zgN66<>nHdzxwm*@6fI%U|0Pf9?^qcRUIORb%Y^BBy*2s~@S2ajUt|ccqNx=PXM^_U zH0`a6chMf>V)To#AHk_LRpb8fcNL`y|j_PyVy2m+o`B!MBUr6DRnS#i#vG59xghnH@k($>`8Bp8iJO{?vDg#5QQ> zbs>c7p3`dNE172Td#h00bL=rCEGLuBVScHDb-WYu#2nWH8Q2g`a&RV%c?*NwI6v*p zyzWL=_hJw&F*c(9vC~C+isbjfs|w=RZ|#(+{o%1s>+p!s{`k>O^5#kasHoQHX`U6VWHmd>arNxwh5{zJECnoA`^r>dj+E zY5?JTA~=xJ=bap>edJNdWAqsRxo}Ofq4zl((H-hz|H9Y34fkK;_tc@dFYtQ4B%6*^tJ0!2bO-5;gnvwQ$||nZ&?mqB@ShUM zoOLxXrhdmvDI_8xjkkB@1z32{qs!`hA{ z{aseorJvDaYL0SsMt0Tb@n3K$z-{-i_{FNqsMZuU~Ztxsc)rV3IBre9aCawp3^qnPzV_*97ktC|j z`pOYIn#@J8S<&PMx%c8l+>fvZYu~=m;1=n5d*VoH|N43nT)3l8K_B~PNdHzp4+|lr zbDnRi+*5U^)d9j)+6I0y$Fl1OCo1RfUJg_@oEedd1oqq-1iC5G<5u( z_lq`U5{_S3<*pe#maR|6K81rw3;p!o3GRf+d7DD?PFr0K2G?}e&e1H z=wlaoffW`&|K0=0Xs&;0zeIr{zT`t;#CEm;=C0(+0+1c_WagIsUFti5-%|ECE91zQ z2a0oUqQ`CHJbjB?Aop;O8u8Fjjy(4J z>|YK?E`RIvAH6f(Rlg|lr`xbayL`4Mu0`zfz()N_lX7+MbOL=H+&?-7`WWwbTcJ+@ zI{TfRBI6={?LQmPlUdkDUX1@<9m{3V9hRFuk5xafi?i<8M#o5AHVN~KJ%ETaF!wIU zq+cmF0uEew6B_*uO|FF7}qe*W~p3 z;gb8^@8dyS&-n~`9>*d>F2evpy3n``ZRx!Qo>cL!B{tzwR)S z@bt_&do_oC-2sP=eVFK@gCdc`6F?^T2h1bzwbGonWxBrSj<~3AEWn2tqg8EUYhvu? zu9cSB$MG^r`!})QPlZh8j6DeVQ876j2<$I;(UulM zi#SHqrzdg!Q@dT*S7MENCOBU1>qizQ66#21ZMhXf!r93qa%EvGBUJUDdS(QC_T*)^I!7bkgzw#HPDVuEq*ADiOqu&oBM-EuOFEMVzJ~p%>2X^N z;%nnMn!YS%#Tv{F!2SM*_b2Org9ii<$66|Z4^zzi>w322=7E6VpSk+` z?&d%fBawjEi~FK=eDe1pNy48xg*@`f{G}siEl4F^H%|E@TzW~OJ7iEIxJ-rc=}W$S zg0u8lT1<|SJ=IL79J+9F=ZZ$DIqDP2OdvT1)A2b}u3nU4l1TS>pZdEwwFH1~YH_Um zo&%0$Q#mpA%54kJvsL{p*b@z?i3 zn#Gmz@ttW=M^m!`Z`@Gck!^|-l@`qaHz>t4C3C2ar?tuy?t(pNXmPVV1ZqN1fA zqst%2BQwA4dV#SH`LkVk&x#MIiWj|XY4YcG+{Z*V2cHAe-iK>XduY!&=9eJgi1#&* zC+UqCnMnO?5ENgFa|k(wNi$)~jlqksb|{@(`RHljR#R%kpx_^)rEg#W^eyR?`7Y0R z!oC>nQ@-q;RkyacAJyl;1?KMRQaD^#x3Gj*xyk%r6NHWc(viIb*jY|4&cu%!2gha6Q*Ax=U}h&5CRSrR_ua zwdhG^|Ncf_$^huVAG~7|{sY6{=jZn(?qhZM;`D} z*Anw1Fsl(`l{iFnZ!1;xYoonFyazqu{*GMitC?5X zA)Z*bogR>=c?0;z4l?g;1<|q*Ae{FMrCn^u{(!s~bLv8)>9-1aGFE0%APc)m`3Co= zt-$?CzK1jX^uF`hjd-t}YE@#CF!%f!c(8mfW53TBfoTIX^?TOIj>|cZrv>g3n z>`VF~g`P3zx|Kh*p8yijGe=_CGXZ`}v55yo66aA(BA}1S15s@7bMkJt4V^$Hjpn(P;T2ab7Ftm<4Lh{4!xcLeVosYn%52Sfh^7;A6^?522yu65+Psd z%LeZ8CWI-!{u}sVI2Zrbw7U9L7J&N|ici`F{$$p<4n~sn^&$t;jR7hvZW?l)Tm#n@ zwy}M0+?Btz6FGwNn6SWe>&w8Qz2G(?5AkUnxKV5i03U{9tOKyGWZ5bRe#<#7Fs428 zB(#-u=G=k2pDe=kdkNl1%%&-@j20Q(!#1m(m7b3{UxYXKlMBh-qp^?V{g?dQTKlm5 zEw%UMc#`^ur`ypqYD9?c z6Uz1^P*1lwE(lQF2RtQbfQ0JAClXxeKdjgbP8lx%cMx^v7leDL>d|e@>Z&^GLvUd@FS|TSxfReY zxwm=Z+i+^ghC62u>1C}{oK5_?nco4uHO!T}3l1F&zTYkb$Fu|&u>--v<(c0Rc?0xw zoM|>jd#0L?lpM_6{2WSVU}d{7>6twm2Hps$Xr@CR82p}G9brXiZO{8!KV5y*hg^v9 z|I^0#DDPr|cPd{qL7V-80<|(K+TCDVH`Ul*GT? z&y1KmunqGIa|kM4!t)^jzI06Rpky&jTF@XA z`Zb<{^M#Fa0e0HYgZbbA`+yGl>pir%z~Fwm)}L^nyuS)h)E*0 zgH(J|WL&^wz4mx2MKb_sCvxvF)+hGP5M6n%ks$l*^jv59Z`IAU0hnLdx3U^KFz1mT zrh$9Wqw%0mm|u_vnwOO2D!He6L-NLFEprG@NlYa4M&Sim_(^}L+ldUC%f7CU!GzY`7K<_8?8Dd< z6E%k1fjL?4JyLb@%DKw3_YKp&s)g{0ia=6iNPZ&SN_(byrW4D=O$$qP_0>L_2VaW* z7uKz(TB<+qKJt1T$enMe`8&Mlx$nB}qiBlMU%0Uyu}aGVyk|MD{hgQk>d^NpJxpOC z#Im3{c(Ahf+<^TX7iBxeQxP~4uagt0DuXeOg%H;=EnkDL3xf~4hN|9m$du%99~mv& zs}0LDwTG-yzQLUFYd9~?vtKOEPv`4PZq%Q9%)?3yo|AgQMD@~>Ol zQQ)QcgpSq$x>s=WCr8-7M=dCQkF5^VxgB~k+coQ!gFhL0iIoAV%85SjL{h6bHctBw z7Pt}GuS+WTMV=9uxwqh3UaSb?`h7?Jejt}B`>g6wn&ZX2r}wMsz4}JMQ)2&opP(e=B+e=_giD6| zqnvZ#+{wP6Nrvjq*5D#DfF=UZJ+FTwV~G1eb2=bTz}Hu|9O}e{vz`eQa}U;oHm zCpu+K1F(R-Faf>Hy*)<$9@3Rw2H;OR8%gqOtQzR8?`9|O5x;` zz)!+GUoCQEPM!ci|Ggb>hBmYk?s=mNX(a3UL>E1u;D@oQ>Hc!S1oVqBch?H@KCo=P ze@jxnz-T+Ym*IO06((TEg=qSPeYO7-8a)8uScm(V@NC+l7Y71J2J&L4cWD+4Jz4(w zFFoWrZHxR%F=C|;y2aDWB@5o(kAdIP0pG0sA-caayv7dUC!Yxy;F#G>r>I*7)gry~Is?%oh?%jQOnN)^?yT!1ubptU&zp-@*Jc3TyOt z;HL+3zPM(9=AVO z3OGmQd$`6;@iO5tnWjB&kkD*UjOJ;-!F`N#jo;_c z4S;R_a7`ezi7$?9=SoL0R*l=3pd8=^=JY4ebMr92FdhZ|gg{tsC9FxFv^n^g$AMN>}0>^^1Fvy5Afg zrTG;2#+m#50(!FKXW)n7`n@RZ_hE+}QFK2`b3TWC#b4Yz74r-0g6J2Mo}P+0&pBvO z7^Qt9Z#;?X{&vpK5x&kn_$_&DV%s}MbCbT{C*xdLLRMssn8NrNn$7_~nfLVBJHY3IO>$YSeDST_UIM-=?%l-){Rp?3_txlr6h6ho z5<~W@BXM6Dj}!Ty3dHqJv%$ys9d^oR{p@HIU!a-=(7~A~teWLd9Pj$=;ca6%zfezv zQ7^=_?6KEIxOdOg&M74Q(gmrS<9zHy!oQvwr}{5=7sB23#yR8%Lhb;6)s4#!)ciq% zSmnB=l( z32u*(xOF4Jw-8;xmEKt<9P7FV`7yZ=n`;lmx>)IZTa3Qe zaj9yDzMN%&TouBJ05=W{mI>&omk-@AH4p;_u0Q5iQ_H?;E#dfKLu_tY}Ep2Zr1) z2U*F!eqyb3I)wU{#(P~vPuM@!M?dEq$XBvacoh6&jF0{&i5OSXVh#LO%yUGJzKq4> z`T?(^b^i1&G=zh08Lx8%_Ah)5I+-1({YJAww2!=VPvK2;J{lmrAJ;(eF2ITSdrqSM zdGL=3P7wUDeq3;qgnT9PQ#%~Y=;^O`6U~pNeCKQCGcROn@1N~;gME_Iw`I~$E(*Hp zM-6!(?mvt^z^`TI_TCuWXZQTh2@doRZ0IMwEeQ0P9-ZMglU^7=e` zMhrBlCicj{w$A+!rsuhtE1?W;ZGaD+1LVjn)k)L&z}#7L9N_h}MP1HeaB1@4KAo4I zLbcid?B}of>?Q-1gGaI2e|I2~7~j9@NOoy&^+QAY-OAZ&zaQSqJ-A5ioI8!?V9ECZ z6pnGWz}0~SEB48TRzrrkhdv|OQ&>4@Zu>wof%X+Re0)-=kL!W458N%M7pc0JJR43| zA%FDmmq8OampK5>0p|nLoN0bToRFAbxOQ>p;2e65x|N&buy4e#|L5EU;m2=Jbfw!E zSO5I*KR%2(ot>0W-Q|8PIl_P3<0d#voGU$h-MEAV;hE3KEn=*!<`krV&p*7CGvZ-N zzYmsII@TwEovV&f{boj?A#;jr1o7Ie>0}Sl zLH3o;A@MH;L!SrcbK)0Yk~*z@;PvtR|0tNa)+E|7n`}8Z?^C+3bQwtl;g9QNl1mo6 zkO1$ZCknz|;e3~zm{pMhE9|N}Y1mg{J^oFfbi#V<9$kfB9W{9e*83-TXc^f6#C=VIP($-&tJu-9_2{g0t^8g;q7zk;94 z`{0mh$qoI!B2#lT|K=I4Fr3!?349ptPeN~<;A)U_6d%I265~e(eL+{MCE&pdn%AtK zNqH>9x5qrjKFPL$%1^-kNpPn*K31 zPI~YT%yA>o|7Li0O3_}lrs$#IpmC9-K5sA3`^mWNvhdx4ld~GUK8`yyTm8@wf1$Un zazSsG{=Uk3Xm1kc7da=!IOw_70{cqlBHzj-u7xPZb5x~&W^b#B;A(<5UD#|KeMbDh z@3sfV9$XlkY)B=vp0u+`3#T$%pW&WC^&#-YA!iH<eb65o3LdLVV zfy#G%?p4ZwPvehyG=M+zR;las7*0Fh+YYK1ZrQ&auFN3*(V5 z`f{cJ}! zFz@r%?mJI#Ecn0#ukSSTU#4PT&HliS@p8YZIR^U|&Qn59W*b()BBGUuD^|z6ujjiN znX>&RAe!#u6N+A+NsIxph|D**_u79E`e4`(xZ6)T_-f`%QBbJs={L6*v^FWIEg?Yms z8L0%k`m=?9IZ00B0_Od$T-3Y}`F#|)jcb>p{+s6h1S(p+P7mP2>em4-!< zH|Gz1v*{Ug?FKzGSXP`DtsK7hc)!W_X{h>dEx}WgIi;?H`go?=s6LjHOOKP_Bms|5 z_+{XafwsD6PE=|B;@2W$6azJ8rYh$)C|tNN2WmrS1(xz)$ymu{I&^m?;Y@!QLvK-w zei%9g>xe}Ia)_@LUz`#&XN~=f@EkGki_UDAi@zpz2J)5B4i#Xs-ybw%2%fh{0}wuKo?{`_o}Yyo57sF92ksIK~bgL z{{o{N>Xo+q8?L#n79RTh#yQRBulFtVCUI@UHecd+TZi}z;##49qJxPs%q{S|NDlE- zl+I_E_oa{IC-86>h>U$D+o?TT{{Qnu^eg1Wior9#4nF_l?ikcFz*AxXSu>wfzi4aX znDn0?D$-uyIolyGCi@L{ypI=S@!TKW4g_u27Dbc!jGG`q7aG!2QW8i1=AziFrx!g( zFU4i}b~#@8C*~K~Q-Rkf_w_m8;dA^C^FGgMjbjsu>wpsRya>N>2@%)iZos~>CFjsA z%!F5z5gskN_Oh*+)Rm3KcKHTWfJT$>`~)(Yky7?#=Otx5}p_F`D6dWT!h7KQltma;YcbC zgZ**RO()_yq+yRd1?heWgpJk(dg*mw-`<03I$}{!> zpP#<~uF(Gl#Ph&-S9R+1<-72_KnM5D4wrhX&-F8C*eZ~K&ENy$9?0I#^oe=2nD@E$ zz^XzH4TS-y!k`@b4z|KzXXKGNfY;oWYGE(EaYcge^|Q=rI*h29zr<1vEGVCB1Ahgt zmyl<9MlAq?n%v7#UPZGY?Q3r2Eu4*4J=i+*@-$4>|)*k>nr(|r!wtKg1(CHEu44^RYK(iWVT(xcThfEHi)v7963m(Q>xkEm8? z6fD4I3w(ai?8cphe~j_hcU@AH%UCW=`6w@)2r5CjrN6{ceeOxW;6`jK_Cp?7coW00 z|Ad{eV)cO}{FnBz@*d5b7b&^n*T|hqFU`7QgY92|mu-k?v|rceX#dF;cj6k_>}~;? zV+(bVK6C?qOU^ru{419>{&mg$=~sKvPtRljBHY9r@Ww^xE;6dKFp0mf=#RL^Yy;;e zvww!>eeKa3_U^Y$ox`2!919xYWML|OezP0)jEAy12jD(7gY_5qU!;d6z*YKS?-wLc z7TdT_n$tHBHY!|0-yCY~EegP25peJggFlX?6?2sjF*1l=@V;-pHznU>Maq;ICvx;T zIP9DkNvJM+=?V>U_1yf>mHuO%R5zS2th>}3BYW*%R^BnBr)Xe=&LtZ?h}REazGf3+ z-JW`2&(FWNVqfX$>bEjO^FzmjX-M9>iT^YQ&kr=7o4v-6^a6Dmsr`uXkNw6$82Bx@ zPh@0F4lx$mq2B{Tcp_7+h%s(IG)-4s;-U*Nwk>8MczvvI{nwh#;F=w_)ROG*fwp;p zK349*-E2pGhzoVYz7i0SzrIvJp9x|bv&!Bz3QyU;n%Fs>_;q@AmY1HVi{q#!KWOl| zJmT+7|DJk3yAeQ`!UsHwh*z#W_?Eoo9#;%51{YtQB|5~|1iw(-Z&fg(Mcm_*w- z{1Vl`^<=L85%kP*opB*@{!g)Hi?s3AJP-2w!V$R@L!SIXg-*)8D+}zUPYZbWp;3ey z>d9m)JoERb&@0USX8*d&p885C^3p6g=QwC@dV5>x7rFB;S9@^W9H=oDQ@=Wa!7}P2U^tN~Qq$e7T;Wex-Tla?fqOC06?GE+5aPtG)~_$v2n}HWBB` z9K<57v=5>ieD2zMYp!CO32j?~q~dhkQ@Q8ig|+Y?a+c+Y4|mY|uEh4f`mZ7-SM#Vx z6g}m^@kxR9avcuWylX`dl9)O6FPv*Rwmgf5aj<)yujDx+@N)`ReNeFQB)*`3Ot?qO zqUZo{qVD@Vb&rWX({L`(zNY)WZ6C5r^N2-;)brH0qJg}qU!6v}R&!CV{v&VAZQW{3 zw!9c=WU0L}iAkDEfZu8mYBOITx5cmBmS>}t>+e=*2nXpF?q9G?KC<^Bma%6z$7%1f za|lW8;+Y;gpJ9HH+(rF(?Ux#sNT^BNQ47zN^fzad@@TC>shE43G4G2F(lJ_kWQRdN zMlBTjrt*z=%$dCwWa?h{fS>L~4!TjZdT@YGE|Fe^4XFmb>3q}2pQfOG#v1wk&Rj&hB8;T}`Lqjh{rN{c2huy^4W1I~k9(aY=Vay) zr@n+3H}waUB&!}&-JduXz6{R`V?O@96Qdl|R*`fT*v$L^=(pye`+)}r%e4c7Y=~vH zHA8W}@IAAQJAFL^Fwr@G-6z>N&?UqG<2-HTKC(74m-aJH$GtQc6P>I+y|(bja$oF- z2ZnE-MZf=peWm2jQqjjZI&0m2b8u3*zx2UalDg8G&XmRrdE~{oN24pAtUl^1zKZ-cr zMd0;upKgpdIM2P2T)i1ei~-yRy)8rpxFUmbW^V1R^!v3fO+UwI@RXS6Z0bW$pFLZ> zKz^Tf)e)BD-?n#IN=_oARvX>wfq9?L8*m5fx9joT`ewBDiuAl=wA_wG(+Tv@7eA}8 zwmJO#XeF&S0=g0BFq}fD889ImZuZdqApB!&bBsh^65~r^hbC&T6P_17UiMES&Ba-V zDxb^RjC#Sx?E^kc!3!trbvc=Io6p@c*A3=%IIYd34?mt8ZwH>M=!rX#LlIzSi6K6P zoet#01-Vx$2#@}xd8VFMH9Kma@J1;0<$^Q#&%SNLfUN@K9dxe?yF$qsd$)BfT}dz? z_mb5o27Q)gCZ9i?^qvddTzG8mZX{TSXUVGHHu6_pv=Dt342FIcqkHc5k$QiDKSTHX z#fIcp@w{*k^Zb#}iB=+LN$$EYzwJ+dK=$3$$wB9n@isaajLnt)i&bOog(Et9O0x3$ zz=tuDAX<^Z{S=XjsrudnPl35E_yEpA4a%%Zsz2OeaO4;Sm9vp&(0>{K%+MS?G?{`Z@^E(fA3mB)ETnT z)iquO8aE19O^ETfXV6<9Iu!IVt{c9Oy_24+-3VLrhgP<6bdrOu(<8}73cT+a(ks_C zT>1L8!(}c!x=6Xr&+2DWHQu++_oaDHuUE(k1+S0ythT}8v;F3LR_Xf*JTop*I`1iZ zVmmI)DYrz`uOrab+3xP73N@-gFYs@XLurgU|Z{n5Q3ThkAn3$U$|ce{bJHvILM5) z!;Y8^Uo=$IjOpt#!B}O$UY_){tl67M%h*SU`9<R%} zGs11#YDY)G;|aJCM4yp2Uyk0ptH3;4)hslkFZ^`5a5s3meKAoQt^_LoUH<_o%C$00 zQ=Z5jCjxc(n_p7kPlm3P4jwG$s)M1U@w^*I{)86w;^rS5wKvW>R?p)ek@U3v{^rx$ zWUEe`UTpMiJSaJPx{dhEKfzxvJVkqV&7Yg${)+3hgP%ibF5HIrT>W$)SN%5I9Egwg zZP-h`MXc;Nczxc8MI8dK?-XKbQIAt}p93F>a80Rn-fs&%87^6~ZuH|kgn#TU#+iBZx)IxtjyD2# z7`4+kmqwNH815Kv_;aowL0q>u?~(_h{mj4Ot8CeW)%qcu7(W(;dH*snhe7beyxYq} zxL^vy9&6X@Eb%in0-s;zR+Ev$`1U!N_oZhY`+dB=Uk!mTTl}`2i&T&EvZ9% zIE~`@f`R@lzMt>(^PxuI7X4nQjphtvETy-lelh&6TpW-2rPyyp-VWp|2eAOyB8IBr z+Tb&wz^DQ&{5s70BiXQ<WEATCOv2`Xue@|ZV(*M|XQX-w7 z1u!G>V!W<;cZAeOIxPg#b%pE@kNy5J=u_K}-`~od!r=jQiG5z9|JVOgpy%af zUWNY{K40oCKer0w05%XNl;4!DGD<=TM_=$11=>Z;k0=N2^E_rlTwk^66?o%pcg0-8Hjz&MB~uUzasC8vT=JGV4~()55U!b~`uh{` zEn&NzIud*DssI%tH+d@(j`q>c(nFjy5q-1>RCmC<&pC^~qQJcvfB`Wzfv|0#_y&DR zqSsyqkL=kMGzx+bgU8|J75FXTq-&%;|s{XF_tC&s@%Dvvx53+J`FX}{>CD9wc~iPHVe4~2&C1OUMQbNA0P9&7W>NYZKp?u?#(G!_~4)Z$fE8H_`v*P%ew74Pn`qtUJxI`?ojEw zyL~HLIRfYJ8!|UmvZ595?H+DPPtzXIK`tb?l{4Pz!@r7rB^zDtSELERB6(nb5&v{s zJLy5F(KcH4?T7NBC2x~gP^f*cPveO384=yQ$cl6L@bfR9gaGr8Ayl6Cm^;89R1Z7MO~@Hto{>o=0#v?c zY(4_R$gE7^{Wkf{Pv?5ZRVzvP)1)id8k&_aMsM>fbV?J+Jkgwx#GMtqS^I>W!k zg@R?=l>@sO{gpglm^x@quCWa*U!15pF97St2v?-qS#ZPgUUsMf4j1^g z09FY%s%oAKc`%@>SAz7$?yZS=AJ^bH{Zt?OemZ(r*}(04-RKrEa?V2RQ^be%EKqsd zqrJ4ZeyoZ1VWv6ixjzoPaf}mB*5=55t;6ZAw2zO4>ygR<>m2oeyzw7cD83u6{j*g( zWNzuWE?apGi?T>~4nDr3(D%~NmHIg^9~wA6jktzwnTLyVRPT9{)CHNeA-+Bje^XI= z+B1^0&kp-=*;luUR$kZ@aFrw=T4>q4 zA;07q-Jpw$3c2_zpZCOxvXcV=W4%ProC|fY+aIR_?eE!f45H}doC z|G?rII&}CqRZ$IHMsrl?dqw*9@kq=OA6dtb%Qv`g_#S*&;-f1G)L!9SFX10qW@7)s z{O&D|#Mm*bdDbMjnf>UI(^ zCN^5fyYz9h6E4VYiY5zwA)r_MV=xz`zz>7k=sfVpr0>YrOZw4%4Fe~Y4ec=@(&w-Z zeHJ3m{}dqo1A|+j?-lXGT<=8n6Rr*+xC>_&P9foC41_)=+=(B|#Lt-O9!*Cu{`rE} zC-Zknp0R`ngzd<~@Z#dKA02B2VWrSb{hPB&jAMZ)?y1;Yd*>Qi$bIJ?_LcH}aj>IY zM-&h~Mec=r-Y5GLV@@JJ78tUR&kNHz`HhRr;rUHc2(5w}H*Zd*Khft^ai^2?qfh@a zPW>?<@D;G`@K>_>a;y0h_c*%Va#Y^<+ZffyUq#SYti6Bgl1<<6V(_P8qZj{T@Eq{` zc-tw5R{nw?thGBKMfbYapZIeyr{BZ8zYNs<>;X3V`7O&Ou7?anPMI-uDVX==z2lxl z+pHM${lH)!ljF`*^&e~wCwv<}|641AzM%H-*;nw!S?90oOu{c|8$;86bJ!mE5S)GZ zWwy5im#fi=wjs#*^XtCki;M0@f)Z#WFwC_(n5+MALag+q>^+=KpS&VZeA$+7Af8$4 z*XQsjBi?+YaS%ZrX?gaQm-OBD`(z@1uB|T|rAIvev$dXIWpZidUKn(%cjLI%mDXP) zm7jAnO88M-b`}~5Y;0^8L6!_iNcJF5dw>3#U&`l)|5)}WS-#S%vEM#}xK?DQb+Gi; zG}((jSUv~VL@Cb}`WRnJM~ub1h&=P22ca?tSFD~xd!u=CU1UgKVPEhqx!~_;8WpEa zTuF1WzlQ&4W_us?DO$IoW-OqNw-lXxz@8*(hxlkj0`6n%w?U62a}v6|L>^f{5(Nfh zNtVEGiCeN-V_bK20r$Shcn4vj1GCyqj7L|CUxY(Cd~UR16M0Q zj0B5R{=FeSSDW6#1-m{FeoOxUMQ19n2Y!XLf3iN#EAdwj?oNNn3yiH*U`TG_RhV)^ z>$*z6UpdVCJSGi%l1k@V0Q7LeNp!=J!RWI<|L*c!H{ok8e~_#>()Ru&_OLgOv<>H% zOO;sVn%hT;e|-k{Lw!Yfd}v7DdXxCiqF2nnAO64)f7jbo8q9HY_~7#xuh=_7`*FY(clAfye-(%iqesO^baa~SExq+&S_*JLwh@F)0 zo=Yc~chIAo`W2f;3BS8*?=d=O_bxQPFdxt(Lhm;xJcwnP<)5(M=eY^`JoljuTH>qk zDbEb$Ab%H3TqoZCa+dmJ|Av1o%(i!Q(i{4n?4tz zC5G^!W}@$b_n)~Hq~|o~TRdM3vbIK_1^c7Z&I@4rriqs2z3zOUR(to z2%xB%TajPn0WBtyq7b;wm<>OzEGixv%mw%Y-gp=I^}E6sEcwpa$XD`xvPyvH_j3j~ z(54wI)Yzzx;@4dL+|Jq)*BI!c{mDDM$%YNiW!jL7@ck-ke{yh=_Vi%CCpeQ%@LM8xv-MQ8 zo>RVs2I`RCzCIPFc{o=u`Up8V6nU|?IZf+1VgDk0Hh3&0?vWUvoNDxop)Jk+rje+9 zaX*I;*K4N3el4{UcwTOvzT0A47c&axoD6h^K37vsE`y)MHSHJ6qL&BQz{^WBX*`3Z zcKH$806xGcEd0@NB}N)ArXM-z-X44y$m53_)X5Z1e@sm~`WLcP8uo$0`}zUAW9D9L zC@^?kGka+maouDa%rAURnEN>PDRU&dEq7;fLq@ z5nN#3zgX)?XvaAgy(30_pIajIz58Dl^^{F?8!{Cm6 z|)M%=0xv+!Jbq_`>zUj!Kc&Y(W28hXP#xc`wpyo^#!hn9fn0Q=GGS5~%OvQRsVR-%^x`_Qhj< z;W$*(bZhY?cKAJqW`TG0!*lSI*ob^1Qv1|~!PhSrm)iy?3C;K9g%h@&r}{MYAg*^f zwNiZre@)6F(^c5?ck>l4VqQ_Ya$J83Qr~+l_Ak6=M85TcD-7OV$cvRjVITaZ!a<=psq5!ypHG{f^!2{k5R@Fz=e z#nv7KY);yz_yFNs_o@<4Q1w=Z^-HApQ*m*g8KU>75YoKO6Z9-GXYyM!TEpC`9^fhQ z`ybDT@F1t;8<3+CH)9{e{@DCOe)NdBHe223$|{_wr%Q~#QM*#JUT-=MS@`k23Y3iC zQ#0_C+VX+d&5m~P1+c)MI&;1^3jN=#w?Q8ZUX9{Y@GZr!^2CMuL1sEq0enlmpJJm@ z$)4wpIZnjK|AM-4)R`AFZQR87a&|UyDB}SP_}h=zo^bf6Bk_7}(xn*XJa3B-JtMhH zHr)p1c9nIpA%5()HH2G~Rv$k4K+|vcydI{0oGJdw;{dPEm4joZHu8N9PRpgay#Cu{ zPcBHgPFsLHGGp|hkICHTQe^nCP?eLax!B*Z7w0@txeT&od<^W9PpBAnJ6j)d0O_^pSmRUd(mOZrC|cT;~-IdG0Up^*oEOX&%?aNA&; z+J`UU1X{+7Jux1{HGa!5H?d#5=8Y^ut7DZNLwyOagSmIhWN2^9Hk>bvN1vEQk_YG? zMebbilL* zuDX?Y%RParwNbxhOH1t^#k`N{rup}y>?D8s#V?wU!)AN=KJ;X8Nk2YAUp?wxLLZg( z1kXgDIAds#3y~gC@cRDv8^M`dJ#=oKi+LZlM)_^xb)O6V*xn5QZi5G#@y+XE$ekp1 zj!K~fYR;<>K4w&oLG2#V^8Q^7KFt62`!8@B3`5>hdaf?`$@8%0z8eYG|6Pe8=Y6-{ zv=nw0!_h)|c-p#Tl7-9zb~KDJJ?QUZtfuW;@F*p4T4)G=6?}d<->h6EKfJne3b8zM zdVQ+;gVs7xAn!XmV&3Nm#Mw>t$+gMKq5F*fCicBz-e+E1&eIs0i9JjT^yHs_jauC! zTlUb$pA;Jvx?=*WZ9}kA9NB|?fb=>W?#iP$?5}z8>JH-9h#g@=c~e&W^3RT3;x)p` zh7QtOIp$F^MFOwVH#&(p{$Tv^z>r+>U#Y}t!LcvFQN{IgVRQK0@%Sd-+yD)*{yyyY zeOdVHjy*K{h#q8%9^V1{G43533O|g*PM^C_TkPTeMhc`Fsg9ma zfbm#=2Z=A(2m08V|4>Mn9z`QCZdcmkNsPt%2YE{A`@w$S1P910b8w&}Kylw-+t_?( zE0X%Ky=eqY#gtnM^nM;&*N4XPb5^enjTfW0C2_sn&233w8^K|o20uUd(WQVp(G@4_ z8{|<00Dad$df-Y>`FLVm*5HF)#IMtLQ}Dd-dvZyLa+g2#P#@h^@V&!*H|C(vg5zof zV-hvre>g<-N913`-wS>+%a<+U%!oOI$B^IW-e1R4xKE*0U{as!2Iq1jvEP^6_$|E8 z*$7-_7;VQ}JN{FN@!P1awRd&ttv;|`7Ssv8^h?7tDTec(!|muQ-{0PW@5Kl1eCW1V zOErB^VDL3L96TlFG_ES+N=RL#)Tjy{CGIDuMx`oGbg2`qNh@?~(lU(1pYnqwYx^jz3#7Y%=^9nxv>fRO3=>Ad-~ZB<8wOsBmcs_ z9ORK1?=|CZe-aK>GvtxQz)-rcyq&Auf+Pnz$obzEDcak-IH|PnvB+o(V0l!vG(y?r znL&0Da=!O+M86nhk5KqruvU2Ry}dJCaRE6IJf+^iYg8_eTqW%8ZHH(d-?#1w#Mi3t zY+c3w+ixQDGUghLHK)HBBYH5FI3F5_dyR4ut{d!|jxfumdThurf+&OY2rl00OZG8U zJ|#H0!fgw#u6^5WbCpLJ*G+xl?$D8OJy~x%MtQ`xg@!qUb1?H)28U>F=jR^U zSCW9|1z@G5uW{llYt=rHn)0S?LWuHihmiKmo(-XIfcHxM$5eUGHL)jUeHHV*^l|y- z8BPdf`JkUd_Ai+Cxvs5Of*W~iv8^$Ujk?zz=n3lw5fvnd^;eZl;Tt`wYo~sT3;xP0 z$G*~n-}A|Z#`(rboM7G;U*8$z9bo^BC`u;Ay^S(YrPb_%iE)zLe8#`Anlt;?l>{dS z4w&eU$NY$K7w48Z(v(T(Pj*=yqkqm(ydQzPz4s+cbEmV4jsJ$=guhpV;Fiw!LHuGqJ?3fJn}4KXgKEPRLmhx!216A5k5wq z>nkLvk9QGtAsDj%0=F!UYuG-N(f+*7v65qHyD3|J*;B3?jEi^Qh;x#2K$ikZxFems zbbeiAqTIH*j)YX~A2t)LsWxi1SMJE6aaccj*6F6XT(iNJRC1l|@N>)s{?{9QQ<7`2vXUOk@BGq;<><~sU5I5q?{(h#Ubk#R+-rZm zKJ;YP8T?B3U+};4TIan}G>v9|$jNBslOxCDir3Slzv5^d2a+eCHySpKA;aP*kp*$r z5Pd%_>LK&!o%8_mf{micJYF~f-fa{0K06tFOMY*_{%6WXr-d>^@ClS$II zg6H3f18bP~rS=6pC7r(u49-)JUlk_)_7v>30bjSd`Xre??CI+EbL~{Uw?{is8P3Z+ ziB(@h(mqvd%vbiyBPt@7BlisW+MN+>Gb$#~ zYkM?jFLt3a3?4KGpPvh7o|mDw4BGAkE;Q?Hm|tdz!7x z3!akXd$&0%@A+42f@`_^TI3i`4QSw#-@Kdp%q-B8GrB|NV`)(oDn&Yl2HVkI{ui$L zcz_2Xm6hhQS?8A<%d#}@(#%);Tvw#inT>IkPW>1}9~OgHGdzp1b(~S6B;IC&Dw zYK8EhwPr)j+)(i!#co6HO^h`~hWN(5u~L6$a2jzB_(3n^k4}G*e+V0=Ho57!;8S8W<^Xn^-r84D%R>4qCb!5W z2NrZL*wJgKv(xND)kk6CPx}S9QD|Vg$bQ>AjCOGE!bouH0CN2V9xU%uny!Q1#QMTa zC*pNRNZB~ro`J^EZ{3Keh7+Tc_3w@Qn8c&t!{s>gsH-uW%ib43NGUtjw9KaQ@&zk4 zvKjpHu7>C>zgNS3j5)E`?@K?xPyQtMn49)AiG}u#Hq;+L^sh^Db>H9HLAY+)>mt{Q zqRRZ0@WV*aL6O0}IPYwnhrB=puWuLxZr8Tx4TfKR_`hS-zxTmO{d1jTh%piyFh4UV zWkS^)s*Rk~xhB}Rpypr!dbOA@T?6~eUr;YO)YhEl1Ao3WE>^gU4u58AzN^M{gYz~Y zFz;Uj2HwszNcYZLy)?gc$AlPn^UXs?>N5}p&Y!GxU;Y7pe(q80+Ff(d72>pq8vA|e zmz-Z0yT-W;hG^@K@el(c)rr_|Yo^r`QR;QR(5!x^JwX7#d&R&Px4?Kc^AKk&JC) zT!?KN13r3d4%VU#{c@Or>Xxd{A%7%&hIaCimIqdZ++q)6#+tntbhh_h`4d0dZm;P3>>yGL(eHlX&$}}8t4d-RG2@@wljPs9-)DKfMscp* zb00X+J=7K^grY~R`JUmIT*p!O>gzk8TEbxY_IaCB^_yW|DeoQk43hT<_9{OzFsFet z#Ul2zGAxGPp$=lvL+C@CpY94j7dZJp4@@A&$JBo9Lb7KIfu1bf6!4T7__#KfP!C(* zxdc2`@Dv(#ylKF0@OjK*oRhp?Z5pI~?X|qsk8PN0pZI%6&7BUcPAu~}7`fU@^01rg z7eixoU(sX?UD`eZ8}33wd>jc8bcFSzmmb0+dWX4*d&++sm`z+Cy*|p9LbwLNDnq{~ z$Ac)uZ)mTS8ClBnT@Xc#4NKYKNsRMN4bRd1Zvp(h=*_K-pMzzLb~eaEFtK&G6`kUP z>9;iEdiuO&E+qYK*zfN!`_6rLtv1S$`^i%I6!5$9{jmB*JI(Vfgb#+#w;y6?G_Xgf z-R>Bc;BI7@#FNAZ4tt3Y%yKVyu#jPUYz$GZ+2P$DIfggbpY zM0+dd!9T_Tx+bACg#F5$&BVXj63+|br-xQ=%Otq|U~mV2tZIbDD|`AzuCSUT&2)h^#Gtp%=>KLI~(RfpeQ?R z2JeC~6QK)n-(rJ*OJACXnwSoo(nY@*;tGEO;?-6|vXskJ9=aRqsC|F%RG#)fKz1@< zIyF>t!wa)X^q0*0hW2b#r5m^wE$xfXk#n~O`18zzp5v{(g!ft#Z;_{!x1@=$A? zOmvDic4WhTsP4#Zac<)8XwBz5EHJp|JNqX5Vz}n+o`QKF9F2x?amq!){zYVgDLr(* zGdX~`{?!ii3;RFf`=C#Rdo|~U5T?D9icXkc_`RMVqB+iwrlM0dX%Q_xnHt!?`~Y># zw>ZyWjANIH$V;M4Z2ks6YQ;RJ32v$vxRe;1(RW!X-+?CcMfY+ALhE|lj?FXGU)#`* zZhDStvg5KpErLvZ%EzB}2zdRDVZ{UMS@erB5BZ7p*ZeKu1arOcubWEG>%$^da{QP{cUFsq|us=eF77n|gIo$yu*9v{&{qew@$-}*f`Nv~!8WD4`sM}K7Pw_C2 zM)Ew6=%wf0Mfk@!_&wiIxikB$i4Q~H_t=A=-tO+OZkm5;8>PMT$D*`v=We0l!^Kke z5$gK}e@t?yr?cg`zpyJy@=Z>dUw9w6ePO!vJvDI%5Uzx^#5at)v7qBNm9J%S+8uETU^%ect z{62u6UoiU_$Rop^R(-j>_I%Z_p_7=4=WoxY6v&d{tsLaOdI`L~kJkWJ!~1O-b6KtPZ03O~Q( zfYzbs6m_X1YbQu;*;`VoSINqDUEp1r*fo;PALxAJcYuW#~!9QB#M4Aecy0x#+N zy#CHadk=TOZ^>M{O4XHXh`h`w=G*vV|HAih_*O(GejP=BaZl?=@Gc-5e;pJ-eR-hV z?IHSZ!7a=ikm091%+j7NJ6{^m>gTrR8`D+y9vmbb+UmoyL^u1sS(LuV!aa#&vX9`y zmOpQCC{0G-w;4DD3o|+3f%gsHmm64-JU4M^R8kMY;wTs84Bqut-g5aiBv|AhEy)f0 z>FUIqeKm0HNdtUDwEq;=hPogO|)miqR-W}+KN`vfS;+58P0oWDDq;TQoe0evbjp@_x!&MnL-Ne6 zY)IbA4Z*o%U=H?`F2L)QY(dX5`sQ+u+Y`2*CkJHM5XU`FJk6z}6V`g1ndKn&OFQIq zxWBT&vLq52KI?(OJv_adr)kftQv@BuHL7G-hV-w$#vCu}S!-u%3L(7hVD!^)-{_re z?c3;|BmEc?F~4vvr`;VF$;J75V*kSTpo;xm|-gIOo!m+X$R5@238|p;3CCMU0_c zLr;RVgnT9U*G-F{3-us`RvJ#cb}=x&Fh6n={NBQ89O+AP4!uoRU29qp)r1V@5Dh)@ zGlcsDoG)B}y9)DuoeQ5^x#eij#K}4n+nvc8~qWjYsM4dh$D9|EQ zIbsQB>R&-$(q7n|KVHlv#sGHScg>Jk_ZsMBXn_pF`&{hO|KWL&3;TOxs1$+priZ|r ze+`bY@N&QLSH9yDNA**Dh2IiA><%3w#joU( z01k;1jXX4@zhN_S`OxKC4$RSe)&zH&3J&<12gn&Jp~?H#)9 zKpa~SZiam&e6Mv+C6Qozet01F&nWz(w~tqicWw|zzfV{=G2;dWv<35KL)w0 z7`DM5xnc12@!Z=S>5X07KZtC&NOzn!F)nK4BvTspEr92k_eJ+#U7gU5=Cv4ko};MY z>3pS|@{zNmWRB`~e2n_4*55UFOz(Fff>?f?<35~zWu3BVj{4=|F+XvCRx0>ocnzl2 zL4KcsY$t+*w_Sf?mT+U*>_fj8a4<_Rc+zxhG?0QDz`X>=?}e)Fgr9#j?8|HV6&b>P z4YN|e=7Kc!oy>Mo-fsgRs*f7=ThCk5`_))n2jV`4I-#NH6UVfdn`mc8EcZ9-6)pL< zV%*1eao_gjLW4Obmp{kpeg(a2vd2VzpKH|)Muw>Vyt;?>EH4bu`*yu};u_T+q419# zMNnl+2;uEf?#ghI=YBNu$+B1OX+~8zrqL8USmuC1KkiwMojrL5=UwySGwCM|nk@1o zP$!$3V*gUtfs4XRjI)SE_MGRS&+Fz2((4flfAU+F!D?Xt!vDhU=rv-#y_>)I?k|73 zZ7}EK$i*_~popNo=udDlunuRj`xnNrDSvDf!^1qJtM)Df`z4*Y?&=Rv#SZ zeR)5ucGUOL<`~(l|KkxUIoM@Cfd_eLAV})PhVW<5mvnsLsPlcm$rGN}RCjvr;1zrO znZN4iNA1;je+)T)4!jiR66$=bJaPp8=6t=-T=10m+-`#3m-He$d0;RHXF%CB?fG(u zpaYoF@4J@zEiDoV?ZNRQz=7s^*$?*cTjJ|lbS_)CK3xoOVc}=-K|YLQmFeKr9l&{S zg?Z*X2BT~+7k|&^z*s`cd~eC~Y~c~dLAR7X3iyrLpL6t1p!Ney@*<=P#{Oq!svMN) z(mXPF7aZT)@Vc~@IHH^8cN#{i9&|pcw1=(Gz&2@AANL5&t?lrTeNXLc+4^}L$z|E=ec#0|ZGgYA4E~eRgoJRgKd32mHzGYaNU{0O!M_CWaCl{~WR3uPlWt_th6= zp}dQ&*zfbP^0$kN=m(b$dFx#DZ)@f1ce5n!=lTzM3dw6@KIZwgUF&G#`i{E!|KFdS zzK*CE#-L9%T&Xb{^z6^dRX2oQXb0?vJS(Pj(zAj7X$UXP=)w zwk8H+pe7;;?y(XRV-OG#L8$^t2LYvc;DEh%jT*bg*h`GP_Yz|VDM~T6 z#4dKfH8b4rz5l&8iENPLXuYpJ^wApR937jG=AcXqc-%GSitAIrK+#O%avZUjQzBa=3BkB zCB~8V?_fm}5MTFpa-#a6TXdwWup!;ToQnN;E?MA#NdtVxkh~-G?^S{4?hE}`cgWhm zSOrch;&`eiV{eag?(t>^^1qFQ;iUoUe{2>uoTx zO!&2HS;}h&AVd#6pJkx0WEx?-S`&6J$X1T)2v(Cip1F!4R#PZA2 z*TZN91{NRMg4f08c5JaBT%#T~gg|*g3DANgZFigy2pXuQuN{Z zne;Ao)PcBRPQ+`gl$<1*HM;l7t}~FABzuq|gZ*(y9g$nYb7S-`%zJ3=YtmehdhyDG zD>q0u4L5s7|Ns4;aI@TyV~KcxjGw?4=R)eZtG@4Wex%=eXi1i^UC&w)Bf3E=%+ug1 zg91IvU_Isj>lr$?K%NECMvOJ(eCYH`Hh5U*KJAJ#VNKH8V~DlP^=@JR;?94-B75aj z!uKNFA=gOtyL`fXj5&hS!-(;{>uo#<)UXN{Kba+0cWEm#jbebbi!V8Ffq-0F>F4}| zh;gk?hk!@U_Z##z*nYKrJl{)lkk|A;{mK6Iec1OQhU81=lZ7V;eX{zBYmzPV(vnhD zzmVyw=iPF+<~qFrZ(QnqEA_=eZz-Hr@Km~u`+$uHbe4$eIr#*>G2V~t$~W3$5q-9C zocbw?kpIGs*%6!<)*r11R_-4B$g#<8#Vr^kFBc87k9{h~ESk(mL|t=x$54zlst6IRX$@SD-X9Dfl-1JE_q52sR)+C(z z0!+R$&`fa2SQ%Ed>LK>8kM<8f7kwS;>HpqfO??1}`8qn2 zzTyY;Z+m(N?B&+*2s+RCLhB<-=OX!r`1UV^5wBqa2YV8z0r$TBCPVy{9s$s?Fd!ky zm!9Kw`?#7(^KgF&qJN#IoQaA~C%Aa;bpvk(7}DXpPk4#{d^7sA;S7Ap4-rn*LEJaj zfaAQep~zSWtaPnmHOU@A2A7tFncGyBScTp1|w z7kEl90m>Q?r+JoJ67>A1$qO;J)n^cjb}1D=~zZy~;`I($nuN>0Gr!n)<{nI_jKeed#_BddmtO z-c`9WE!W^R&LZ%XHUSSGe-nN>-mkreZxUFxN6(Y#2@A)3FozApApT|y73K$fcRf<7 zW3GZZ73VJ=^&^gv{q`4U`YwL*!*)xfN%WH=;YZFM{QX<(#khPOw!PSp_=G1m%C#PV zd@ByLJK&-Da^R22{Nt)4iHz!ljpRgMF(we;MNhhZ-9vI4e)}m|_ShdDqTeq!thr}{ zVnaAHOH;KEJrX8*^Cc@ywBmU3Sc~X*n!>?VF398KfTL;Aw0HnO)h#nb7dQ@FCw|WC zrXvrT3n}a?Mdv;l{5}r=Wj|XI^Am#h#t_So-!#vlY^;&OPu?=tcJy+-j(sKK&9=>K z6-2jLNL15@OuqagL;u3Tc(dTs<^}fvYXV(o%Q5U<9`P5QVNXqXklZ0c=lPeQUlGtm zo*{WDBXC~WSaf^{0e8}SP?njNVtrl?`_>mSyQr;r8cU>XMzryXy# zODC8NU$uj;M)HLQBTt+ckMILX{}vx2oDcU!@N2^6_tl63L%2fFj}66tIOeNVYRZA4 zU2$Hx-=5+_mw$m{?Yu25;XD}jzd*)4ZbTxr zI|m7D@>WjU>{#ORWs*m*=7LOcP(Ms&fcQT9!7ql}b!R;M`}}&Jxe5M#o)cnUDf{m0 z!K$CdJel=)!8TFE{@UiySBf6<*P8}^{_sffVEKDn_>upQ(<{2Tv!V1B*K>bxQQ-0%Qw{T4uD4^M zPi7tBVNVz0a{qoCP|*NZTtOnezw$EeRRvBiQ|g5{t-qTcY3~}nM|P0 zx4vI&$Xo~WWY%Zhz&=5YA{9KepO3|ytpyZd0ggI%8)!qbMz&otaDS%qY%4ga-rz8J zN<6L|ov1k*wTle4Bi?$ELU5P=^B%sDiBqCK-5Y3<+=Bzp$Ebg-*hTeZZBQ@5t}yBk zyr;2N8ulYN{jinVgP+7ylLZT0X(r_9uJDgBccjr8_{E+-Y+y#e4@}FUZBL<3&gH@x zc@_X+cUzUA`7O@_=?{$84$p+HkPQ;ekVndfW#l8vngjg{<0k$nf!-1^ZWT=Sx`+Qd zLhGWd5tR7C9g2f|L-I6y!-VI5<*y;caT#ZB;^##?#@SQpvS0IU>MOaF2WO0@`>dz5 z3=;pzxVGsO$3m(%;c}0kcJ~r~e?cMUY7F#F2$6G}z8pFwHpD(H(7dEiHKbnK-#E22 z2i=vHa^ttyM|G=z+Y;O8wmz#u_`3G2#(5DR=f8Hk55Rem_rkF#?FYSc4atoyh}HKj z&I`-Bm9I>s&V@!h9U(n6)nzHXeQvPH%a>>Mh zSXT2*zlJ^;W86O$rV-=0?~K20*kbQe5`+0N>s8j_etC<9-8gs6eT{{F4A{E^2b_py z%MrUPNsdE$l{EEZf3lPLbhkzRR1vn+#smE|$I>Owh=82X6aE*;zj^3NENdvlexL0X zdpo2^o<~bR7uD&5PcOQTy>7xu8CyAt4*y!eLoWE|t$5J&n=`SDHXQza;TY@+qYY*1 z{?(|uS@&uV#fJE@yMhmcJxd?#KjgWq<)Qf>iT*T{3&99Sx`y<#fx1s$o}I(Z(#4v z><}&f+1UM>dldgOxK0=&ws4B4){tLVKsP0G6!4XVYmjA0*Rsyu*${>P1?|xs=&m$x zD$5vxhUdiZ8OjIv7)YF-{or?R5xFf{#rVG1=kY9EeJkyK#iuqL_Y21-Bw6FUAWryH zmvq{~ftO!K5Zfp}hk41|=#&NKfZgVtA3r5Tcpz<{PZoZ2#X>{&W?$E&=?E6{>z+y+ z=k5c2@-_}CI_#r+i~?Kwf%V6Ot;84E%bciOvbr6mpFfFypVxynSE9&6fDX`EW3Bh` zMJ)B^g8quP?gKW(Y95mb`C{x#+JXHG=iIFe5S?K|@ce-}xUg_$g6!Y=o(Lwy%=y7a zqx!3|Ar!$p3H19%9xr#?1pb)h4s1#z#z^$Jb;IDkJ#swwmLmYx{?ku&+Nj4w$DUte z$i5VOOKc6HpsS>L9Iex+C-T|0)#|8q-0%LXhZ^Hg4VrJg)Ui>nv7j=5f{#M!*dV+> zt=*^|H)M^I3EKxM3qOhN(SoRZ<6VT)e)U-lA^qDs2K#+>7r$(tM9ya+Bro#Q{`frV z4$hCh8m;=a9OyYXwyFd4BaAn{16?G?yM=(01X+>mTeEOx8aaDt?mGH?(M7_iFMRN| zHmdJ>nyGz9j1x&4iFr5oztiU>$~?hwWTEj7FhF;jBYy+3hs3dABHy)&hL4K(9j%dP zfqhIs^+EbP4~Z6z0>KZ$AMa)~{P)PG%>fTqp0_Kml*ogR!SQqtF?EM7S*rhZV~oD% z&_`fg0mVj^@dNz7r_Uo-h4r~Dp$|qb%88~v#IaJdms$}1lub6L(eE>tXuUPD|HtGE zek|)j_S!3N&MQK7Al{J#brGCcdBz9U|G^Idb?R5nRU!UcSV* z_Ppog)u#i#W;+-pp1Fh9$J|ig2=!C{>O}`w5AB$t9C!5l!Wl#^2j>(d_bD(A{`P(5 zcJN_1w<+Hl1Wtj6A*uyf~Od%GqulLLxKXP?pL;2Ko+t6LaV+52n#!U;bn_4bGDtY)&K4Tpv21 zUpU*as$x;P$mtphzjC|j3G%DZd+lWh|9 zdwO{O;|G44AA8A}pi)?H?gDtg9Gn9_KhkV0zYQ^KzFE{gLwwMOY^2{FT@O4~=H_O4 zs2}^Rzxo4~Icgu6Ya>6WQ|$?o1N`Zzlj;XMChPuVAM%k!Usq&&`0d%1pS)8ghuZ(Q zF!7U=n{J}LZrwb`gOjwL`E}n8QoZ=tXc`axNPYNkIDY5G+zdJZnRSGzRLA_zRrt(( z@V{@uujpV?Uh-ciVP83N;KGxAFlTCWo`Ynv47MM4&%wL^Skq0tgXkbI-DhKcD2fYD z@Jd+@kpus}^nd?Z({ikbLt-;&G7mr=p&sM8%d`l(fwq3@x=6b9ih~jJ4dz=^$_^uR zlLJ=9dJ>Nzu7Y>K{_IxX-~~dTJt)ps_QD^bPiDJH-I+mhKfUovS59_JgyvJO^&-Zg zcY^Plxl=EH4UsvQ2lg+FMb5cWV5E#i<=-0lVu%O40IqHijBi@^b)}q|03gZ}3-Q%5J|h(ScZ{@;oDejw0@5W3@QtBB35bn%H00;op}$sGg+tAnqHn128Ycan4TlQ(kT#1P7g&PdhB|4kUT`JR zl_h1F=$8akpm*&w_an_;e^1t!XR%IrT#g~{gRP;olmQ~(JXB^Q)vYArAN%;3WcAba zbs@oM?gww1=iU>*C5J$H>HTrq=Pmcs9OntpTVlzv~*TGBag?0$+7-&;QPV}T5E zxSwUPt#U|GhUOWZ4b*+`U~gjFNjEzSn!l&%(mH*d=>pbnz5cCDA!EPE$%S8R6x-$k z?Fp)(lV4SfAjAR&RG1J!9mMdSYn0(YwZ37>-P$`u_2%&12;Y4{y6p9PRP&WQwL9_S zRY!C=ka)fQxo$euWib1paFY3FdoRgrZ;taJdBB51gh$ms34JB!Zged$B%kGZ4eI*} z03C4LB>$l?>hniv)cnAMX8p%swo-SbgP+Wp(uPR?65quoJHp#P>QTigdB1)9J&GD} zZqO(At1$Hl#d(o^)LL)q)Ce2z$+5~c?hnpuB~CE{g-eI7yUy?g%OJez>mzB$Dkjv-{+j)o{o}R z+8+B#*5jo7o~iHM{~YDtzi==~Ie-Ha32PC&ND7Ta)am1Iq-efp&oHg;`kQF=gU5kS zp-<-5l*bJh?MH2+X%*V?$?z-ML-w-*Is?{0Siv6#^@wBJ3|Fc@DEq7Aa`E&}BrXcn zW1_!wi=mmvUbV`>-l8e%+%IGqoXc=99lY`<5a`2?9LWJEf!@j;v$Rk>YM`^ugWlAZ z90#Y%8MKTI%8~Y(ANU3OjCKG;&Wa%68CJ_Tc#Zc8=Y{j?*B%=}jKQvdPJdqC-_k`t z{}A<(RcPDdF>v8zLMvHULlkWO5Y5VS^fOw z!BgS|;hh?)%XyokI)FB=stXSCA&EaZZA*86)t=DFO7~07iOLhaZAX(3l=nr|D5-z; zZp6M)f~RtgS4&?WdUh^W>)0LM>Jyv`zZml0EQSVaKLS0!*ku+3Xii_fIKr59b6Nt< z3v&oI!~ep12Uk+QRemsqvLB^+S!%{}Jj@xmPhNq2KHIm~bh&BB`5Bf*({X*(nCqwf zdd$aMt1u|L#2CU2)mA6fqd=d`djtCtlkSn8*wHNpyiE3|G8|OU-M=)KEZ1Ni)xKk) zdY<06YJThcB;v<+aqkq(YYuQB<}KRYLSE38#mPH&L!XSs<;CZ5v>P(dNr%8611IdK z4bH@Ch~-c}SD`=EI-|&tJTfaAc}{%~n$=hQelT$y#&!6lB^R!*qxy-= zHp0Q0wKr4!gkK>S2F9H;my<|*&F+a*p1BYyMaD&+AJ0_0Tk1a;9H#ST=wZgOobKHi zik`W)y3aiqc^>xkh!#G{8~puTFL`_7c?a-oeXn>r-xrk)`hDU0H-bMIvgjpyEM@<` zIx&V`)ZgD{H~KEwS1-;o*na7`1bYqklRpBl@74HfFQEGn9s+n5!m(cDOo-77i!~#U z5Bwh=&;A26HecjtQeXoR?DHlSaW1GWTCIwc|l6 z=8e~o8gLH0zQ@2sH8?h2c{Fu`Nbo@4rPBg_KSK|*2Qf=!!@Y#7Q4#&V%!Ma}2w%4d zeg@`|UU`4l;GBZ$-D+yT*C3VdF)!TRmFjV$yUa&9bXRQ&&CYg{L#V+=F24bc*)O`?3ClL?mlI1NtiO{XFDp$pRUv%StIw((b zcK|Ub{J2A$>bhqo5Kc?z`%}T{cZ(uId2lMkB1HGRz02x+u0xdixt698ToP#EZWzCm zvy6Q?B29CYmtx-$3nRipcgdHT@C*De><2mQM2W2=I97FV)zTyfFuGz#-E%JSr;J;R zd;R0>uemPZDu{ouI8^JWdTz>Ts*_BN!~TGNU-+qGU4#R&{RQ;=Y&gyZ?*jX?m-UlK za%QvqbdP+}nfUeWj{aqLeUJuo!<2h~exLhk?-RwEmy&El7^`-fhk8tMtI+SW-}jq| z{;Erka+G}2Zs>EcrA}Y=AXA?Q^!v=id08=;Ks~#DE-jG~crQ1-(5S(UG3KC*u{%5& zdKlzRUK@k=#eN8pG_IgNgwxxH6IqNyo@?B_f{4lT;Y*5kmR;6{Y~VhsF8Zetoa zzaHp&B(Nx}V1OR_g$KFI#guQI3)&wKV|8;lRGvl;aqxH}a9uUN$;yEjd#I!Go2&!i)BF7q87FBO<6ea4b*yMbcr|%wJ~Y8{=wkalX49 zd!*+Gt{&n^95a*r1@gb~f=uaa)_Vi}ek>L}dEk$2f(#?wJxKDnpSq;eJm4)Kx<`=k z7#DhpkMck4huM}{?e`Fw-(7`%ZeCWSxzm;w8jz*W{|owLmJhjgMV>fhF!Q5bX$c2w zob}Os>ug)i4P0kMknek1O-xju82FaFj-3B(l8yJ_Tde!P2{=C#g&evE%(RK)R^n08vZ(GI-YBYUU3)rFc=?vbIX;Gj${2E zxh~>2%Sl$fn2U?nY1qHWeq^B=aTyv=I8L7*%(tQbSsXacS$r0)$4AS)(5rE{{OCCr>jSM;;jE3SDaJM}NnIB}t6Wbyt;hyDrQO5-6FL^#(xxD18k^Ui~%L;3X`vtOJyX3pZ zI0hu1uR-Hk;BYd9R_(HXbL{yb^@DZtQ7*_9TgmrHK2$~f`3i}u_qFdRxiv$UL=)^T z7ko}e(NGa)+%|Z;|Lt!vIxmd#R_;FXUd6|21WTTKz(@z>DlQL@J;dpfSp7W&BLz#Zil>N{yaf`%6WO?MsW2Y zk@vN+nxEG`$V-A7`)UX;cW>02+Zfd&wT0Aue|uqG3369 z4$<7Zxo(8C^^xY?Njlf*pF$V7K5=rP)yz|P6GIPdzwcaUup9BZwe8h$kWL;u)Q`LpQw4eC+-@YlW8+AnQHPl_W5Xf_VS0J zr+zTeTy8Y)fQtn8;JtI$zhDZy-hlrTa{K;s%rx|fWyCV*lU=a~INKqfGBB<qiNWs zwSR8h;7MP?C*5h6S$G_t|EBAEwxTcbJbPm9c>0OS;E%EH7&#e|OWW2< z@~wyO#l6HYY}*i-XRT{&mi^TA*t-VvaL=5pp*n)IDFiIm?v+;tscz4~NAh!9ZnLF7 z5%0EWQ5EvR9P|g|i3rb@I?|Re(cwIbR{!w%D9uG0dD}o3@t~QLVu<4_avi-X2r&|_ z^J0~o@g4S%yF1-o7~`Pa)U5&97k|P($AIv*KlEcD z@Raxh-4{t1dL_5SJWO)RORgKjhqFWe5znuJ{gm@&0g0Y^B996$v!A7}mJ2RCh2woKPsRGQY#Pj2e^P%_S zI^y|VBLcjsB)??MCpbA;brXF|^q#p2x5m&9EU38PLPuCXF)&(u`a7Tp*$e>*QeuSD zPzL8ka(zs$Gy&~M(%Uhr&)#0jx3r6q`FEq;X4TPsmt`==r1ppm<&tgUo-56S~vK6|%tx1kU=mU%P6)Q(`QA<~ZCH;gYA>zaMgi*>3e>wEo^U zdJ@u4><`@np91j$tHGmgiEUPmM!s72?-;Lpn&W}Qv8Z<&!Y>B-U1j9RW^f=xcQ10j zJFfPBH_XbFa1NomEX)~&oDo?J-Zk1W&$mKN8V{~!H2Og154W>%C6=|0ALb)G+7W-) zD&M&(^p>!7JPb|L{1K~;B=^(mDB}3Q+ts3FFEVamj={LmhH>y8b8dwhx(5`>vHN3H z$1*%va;vT^b)cQQVffe=Kv0<{E`&Z)xK*hM1e#piJv)OnKL&dKI*{2Nf}USE56#LF z%i`bEM8AY}*t3*0<&>SgX>cCns~&0cdwf6EkM94}x6QOrUz&szFk!wi(_cD~G^TBNDMtproApeDbj>PyB z)dPgNNdBSwfAFvKym7yq`j)Mdl$ZXOAKl`B^v%w)hv{$>dE#7XXM`ya=?U_!8Fa9+ z$UyiID#tp)m(N0dAayMGV;ujJJ;oW#eJbvT)1!1^wc zsxR$~(xK3pi$>aGZi>ti8g+n?t1bH5fwEaTk~<|(<=`>-cv{K-crGc7l@I5wfbFWt%LWw{hwb@_d^4$^sFKin@Y z6zdm3A22P7j`t#7qhD!|K~FH&-fTjC3i>9mt!AC$ohUFyvLF@br6MnqDy7Q4paFQ} zo?KTg^3nJ14qMfAA|ILCt(M5MSjKs+Hqa+xvEhi%Q8Wn+0sJq*m4sh}efw?SL0`#> z)VS@ko(|Kbi|b|Um+3wp%is|SA!pL=`nH06I|o_xA0{*7PUX%zB3<10?M^U|9kFNvSqS9Y57d)%LrSa$92uRfXTx%&LtkJ5Uxm7AXXKFKtn z7xf3h^WuPzG#7%Je(oZxSQ6YG_%N`8xBjtBlInM!_)*Ag1gczgW^?PB(FM^|gTYVt zz`KCY&BGZSN#+nXDK>cDanH*}>*w2MVw=XEA3bP=J-|p){q-LAa3qci%7Q)_Q>B1+ zO(sxFHmE&wQh)rrB=tEWucsXccHJm4E}?uV_&!zih`rOpXu$7{qkowSd2d=72NBT$Z!eg2Q^Bkg0v> zTYGZiU@CAfcJsV+Nu=uYkK`Ex*pFfxt{i{`p5kLO`ruq*5&R_Gtox*JU+J^9w?)2~ zH55Z(LBhYk7nDx5c|bomf{+q9e+Tj_IVWR2{K%3=g?=B{jTL?1Ka)Cce1Q?dM%AF2 z#P;O|cBzuHert>?IanoS-~G#n>=O%1W-i7Gat)fU| z4A-H%gzoPW?icp2mT3Xr3(tEVdecb`cFHNu-NJrfd_nmR$~!3tAReE`xX0<9W?cd? z4(=6rFp^V`zfSsj%Mj&G*DWjhg&vs8an8<>j5K1~%xtpuTk>MY z)1BDX_hohPljX(ZNSgZq9_%kON1Lyjs4710)}wank4X2YFL_aK=}#S@v;DIu$GF2l zn98G+lYSoG59b#{ZzA!w|0NT!u=&>gT_h*V4*KMnDFEfpbR(9(ZG1eAkXAYI#~psu zkAa|*oYfD7e)`oR00O#&%l@F)4BrM93V!zt;W(YNQJoa@^fF&x>_I1bZ4S*l=C3^E za7WGaDqojgV?5h@&;-?yI``1I(pSmEHjVGkCzkdR#fCH6c@}{C%lE@6&C%HOyGeMy zJojQB@K-cQ{6)X7Kpr3B3BCbOiTTw17lR*$akEQuJT>D5Vj;c<+=d&#Q-1M~L2%{i z2YkS97Q{&3{|)^6Ja_OtbIV{(Tk7x(`j!paM*`_3=lbmTmie2jw}s}~H7oU3_O%wD z@>fqYG$&x8J=ya-=cfp|&TBUKhuP;gvn0=GpZNEXS(n39C;DoLa)T^0h3?w;h<*iO;K)qRphLJ^02`c`s9|Vq^H=H?rEz?K6-{jBJD$rz>33m)S7_~ zDfv$i&fp(FW%}Ohrg0J10Q>VchPC)hoeyrssoxEAaj$0@RzY1 zX%qCxY`;oh7fc49%RZ#~QtbETy}QqX#^P%l`8JYRZ}$ZHO2Gv+gq|PU@fG#cl)ZwVO1YQ!+UYzVydvh(RjrMErF;RVLr=G}na@;6=w;k+<5?CXc)^n2OqM;;O!?o6EH z{BcgS=5%4MyS>h@W$&QgmK>G*Vnh6SPwI%iy7FB3lwr3|ygQgU=5;9geX++>aio8_ zz{5QxT>jIUGz9jZ&d3*Ix!?8KNhG|2UhpHc-voK$&U{`iQ^|pasMx=N%5VK8{9=;J z^JEN(yx^9L=*!+X!M~67#^nvj2j;vZ^y{7GVUp|se^z+vUYhA4^MM*<8%Q5o?FoNooudeBUlU0A>^DjE*7~KF1py~K`kJk?>K+}f ziLvhXWiqLK4=CUk*i$Gko*X0e_mUSu!{4$|EY}eK=pE#NJn7okxr(QJP80NF&xh~s z)VLs>kbb&yX=7j6YxOQ3Pcx^Z04>6P{}zbxtKV6Z?Jw( z;~enA1JDB=EZY}@pyw|Kxj;m0g3QamSre@ME@vXiZ8;OHe!Wi?s!u3~96F0t!#;G3eg(fQJ>u8>E z$c~s_|6dGvtGwrE=1=uSXr66weD-ae7tW>1y07__L#&g94;S7ug&Ht;(#wTj!Ibnp=&B8%z~)M<37m z3-=d*PXY|-cI@{hw);EeHZ$Mq8%LT59NiBYHYC`mQ<(%>NBD-WPL#lSwM9vi+ft=R zBBct@u+Vsm^5t5^RB95IIBqTGuhE)@H(~6CC&Pkx4LEL~GqF7-XtXu)dMw!{lRC2Ae-q9N@2Pu7s1Fx; z79*+__t{@1-{5QQ=JPOOTb^G>Px|L*?$9LkFPwvYw4RxSd)*QKefUAgqkjPvee5^o zf{1baA05(ZLwOjS+DFhNQ|}F~L%oP)l6PO5={VxP*7>1-0dK--7C18+aA!!~cg33G zzpyGmt{e-tI)SGRTgD^kVMGtS%2xH#?ZM~IDz}*iCd$u~cE^sE^8ou=q~y6aT@ppY z6L$hf4S5;cpTuf@-#KsLt~>)D<`_7kHAe+Y9&nvi;Pvr+gnqvZ`*hpIX+Jw7K{fEppFDIL^u@waykVdmpIMCgm{WgjPRIC(e|l^x zcztzaZ+;n5Vm#vgy0??^j6PNpy-@Kd6YT)TwD~nVFc{8W|#ah^vzM3KQpf9xv- zbG#1wO4K>%}rb7u6z{e$Ak|x$cfgE#pK_$GKpT#I;~XaWk=gN_j;DU z>OX`1b-n~1bTc-tIFHi#PJ7IW!413RldQV6>nW;pndTyOY^$c=6k?sx?!6mz4ek^A zq-T=sFLKL5SIi6OTh3ayJ&vYkd~wwbC&op&g~4BWrWpu4_YBU*jQQP$xJ`O;!>oIs z01utJO-H^MgFwB(w`5S)Q}8a3PSB^;1kHH@&x1LiyHPKSu4-zc>LrF08+EyG%Sa`* z8_&Tx<@sXtYLoC4rn{8pCAAtP+&$BbX!AC^HZN4ki6 z5wgnh2hx3I-aXaRB>UI)vw}pYGHrai%wyyJicnq2J};8IGRy%_0;_7;8KS-w%v+?N z_J?1L^^yZ?N^bjh=wUeCd~=km=92yi{TKro7TRilH1sf%3+kGvT(L8D+K*m{B$j#Z z_!W745@?ibI6?@YihT-mbcbHX+>nj+hhmB2c9`!Fn>DEFPbv`bY3p* z97En`bw}xQf_}d-FYsz56UUdPR!Wgv$1~W!aK7EQ_hP6C3nsDGWPSNu_$wtB@Cf*p z?DL!feKKroFXu%Q=Wiqp4Hu5U>J?^^yu7SpL-J++wGn?z^*7*?{LyM>&*dIu$$#-a z+<#EDwg_}2$+xXmSNwek%1t1N8J!3H82iuv!Mz4MXdHO3Z2#PGrO3F#TuqNuvS$PO z?_u-|*XEZqOv>GF5wFkh7lTN2negxPT=^FKik$ON4|~xFh#RxXk$SJDN9nyCl5YrK`B5wZ8+UK^9&dtOW!%7xvC0jFKH0iVVZCpY9f)I5 z3pPLx!~Tw%ak?K&N>G2^R^%wNv9vGIGzQ_F1cwRogTOXri7}w(%14QgXKs9&=0;4p zVQ{_ocMZ&!=eJn9Vlesz*czKb&oBPQW+jH`Nj^H#`>`x+s6<@u-#TYf4k^yd--w@> z0&cP?9XESrf9frUx?H0*8|=RtrGAp@t|WM!y2)CX)`kBC`HW@UpdW)C%e^Q@`IZaZ z2xH-EianQh`p_Y7b7HXZ7N4+C3| z`#dv6d!Z9}I#~28=8pcFYlHp1)RMavWkkv46pJ@3{+eS#YD=Zl}MiT(cb%Oh{#r}3|wuC>>>X`cwmPyF}42(ABS z%Foe^SSA(hpp#JY4$eCsx4*Gq@ zPz-9}qg>#Lw&ckFLOUzjhpn!iD8A&TOYKy@u_#hF3C~laG{@62M|4_4@1no|5=tHL zl%Njz>7Na;`W_w_EIGQH;Ya3vW9=^FC9!d;P8>Uc1$gf1s-`d^L6bsD2 zij85!*W>JO%*rteyl03^v5}2(w{Tu~eB+9JW%xM&QaWM(!T?M3`@*YUWuv@1oEMgT z)B%4?>fb#{%3XpUV=)Qq3eUAV&I`tXz2HYa$~i;< z(VBz04}SI?rpn%^Q-l|Sx{YJ#Gv~U}G!}%^h^L*>@LEzR2NKN2{pt=fPd)Hs-*-$Que_>uk=fkn$vxtfbrc-zELPkC^zm6y7f_H-d+X+9iYabBKrX&#aL#tj0 zCdByMYCe+mJ&Jz627_*G$|}d8O_b<5JZEAawt_GCn+9X!r!_6r8%Kbrg!TJ{40qK# zAYV-WUd)d~=TH`TNoYHFyf)F5uR$m{XGc#lmW&zaPh)uT3_i@F4eU70HRL_ndz9S6 zZVlX&?=>))K=~;bygh~TL{R3Ux{F$|bcqLccihCk*!#OA;S3kN^`q$w8b9GI`rB&A zOOo^dDol9iLk1(CR0R0<4B1=2FUGtqU-(~&U`H(O?xA^o=&PPV{zIHY46WIvgG*)IT{^N7YGbtCZnUM%`z@1(BvX6nYVFpgXio8T7ZTZQlUTwUwD-x^Zp1k4Q{N)zl6}kX z{fNi0;d`8EARA-;h^8aBUViQxPW_={UoqLN&%=&;hVTGx+E6e+EOXKCv%O(RoCoDz zfx&)`zv%eRjds+Z+p4Z|!|P8_KhXmx?fW|?%RD#?JXrBGqjI(zin`iP5UJ9`nZt)5UBIv`99kJHz-SSkb9p`#r|dG z-hoYjsw4dGo6|BikIb&C?893giXdOUII|-)-+ChW$-D@f8m{N!j3@obdWHB5iYnK` zs0y7ZXs6L#GkuBeQenX+if4h=+#mvUx3*0j=3|^|yFY@eaUgcOm%NYOLXTaE0~tq! z&`ij%_dzEh+~a`-hH_$RkRN=n$5*E4&-bOP`nDST5I>HGzPA;fM_o%R<<>t*P##c( z9dSEWc^T$oyhjgtO#PI=~*m#O3nL(GKb>KY+X> z=;M>%_m{dcwDi1ef*vLrN#frjmWvx__>)<$aDBan^7aZMC4X#TKpKT{ozmon!F^7L zN62Sjpj8Jy@#D^K=w8Z4C^3A2!3bI9sPDt5N_3wCCO4U=HxDAvkI6h0eyowBQ)XX& z=%?J6I;byK;2>hZFL}miUA51znM`maKHgfAOlH0q(C@P!@+5e$i99#SKyDug-&rJ4 zA}`L+?{k?~CCyp>|L4=-$LfG5s4z_RFiPxX^8tO4Dl7fPxX$%H8&yjz!5ccDa!*D+UbNb|m zc;(WJ0!L_lx1xLZ$7sIJ6-#=JxT_UGF~t0|Oz6j^ROAOQ%V2%b;Hnv_dx#07XLz08 z3iGB(NV`ajwIJSax4qF%^W(c(t3UNVc>dhyZnCFzZm6O2;@FC$3ph7YNaY)%uSCBu z_gPC%;&Iqb`0p84`2hVsaP-|goBOJsuAWK#JNE-shtVrt_C&2aMG$kQJX?DampcvM zkGqX{#vWZmWS-RA2fic$cNZ8)C2>5sqlWGoW~HeA>f<1KTh+-y}e{#OTA^EzHM6zcsRw zjpdVwyMYU*pf})!7b?^YHA$7||00q|j%+u3uYS-A7Vg5XC6 zrnE_)c;#HT|H7-gW~uvE?Du&M@DOuo@zFKCZLsg`N^SHn?2k$f)aNVO zTYcw?F&~4@?)=k!nlskcTKrN~pCeZdc)x+0OZS!F!HUl;w{%}JKF^rPxy3cY$tAzj z`tw~piPw9zzC)e?FhfJWz`m68$y)iU{_$%Qwcx;t7lHCQ`#WR5&x4De5yUaQAED>x zwQ*zcqJ;>3NgkYy1Xm#Yq*=0kMcrC*dh>* zpGYgs^?j3|eB(qr@?`+SFOmBD#{D9?lDF{F0n_~!=f#J?Ezk+QJPyPDx>(h@e;+J* ziMQbOiEd*D^p+@#7sHRta<%!B6I7r72Y9fsVZ@=|7rip{Fyd!+1V7pFdgDD+qR0nd zR50`~f}j54rm+!md3!C=D4F%DKZAF{fc~G|$xaG^(tiJ`qi`gSXH}w2h)1e;*+i1F zy~0lG_`#+33!cm6uvPC4&M_osxXCCIJNjo=-LE+$6We>8l2Ygwp5tL($?K|S-nyoZ(4B!GC=L9RkbV zts>33A06aN1*Z`>*%$9ctk*6WL2?fb8I?}#{#-FHf*2#VDn$AG=h5#!fxU8X5b|Dm z5HSt8PwXp8C@@5~YgvPAD-N$18B0idn0m?Z5 zKeiR?(bgsq+mV`M9>%u5Wqzcb;(Nj3=lH2fS>chqY#Al_>UNoFvKNeedeab{RYmys z_d?({#82l`*zYq9^-^+)a2DU8USZDP>+dQH-*(+UCXzgxU3SVp34q>`gS@)!GcPIdv8k#*7si;eJqV2p~fk^SX*)I%{W zm}%!B9Eg;m;BT@o^*iwSne%wTM&^GDA7;{Fj>AZHqODxV!jFt;-0AOzB@*N48r&-~ zcz@?OCROg$saM132wrEu{A!{yU*9`F75Zded#_7T7gW4gG zV93~b?UVMpQXcXft$W0)kDyL@(V;I#zt4N%!fqJ^8zYn_H;w*37XSM_=2k1#E!h0( zP@wXDpih)s^g9;BF_S-#v-;^SVV;aK*2_PWddNj-Pom$O4qhMgxt2#N2d>;*gXtx}4-KzSzYbgbWoXbWv)lZTS-xFfX90o!U!~J}m53xP3RfH|EJMr^a zD~g|Cku|zYqJFQKze;`lC{pHS@iU`nR2~Z*vJJ^ohko+2rH$>Vci_P?AnJCkm!T_+u0BiJ`yy$qK$9*uWYGxDc;BUHcWNN{=Ix$)6PIDxfnCa8b$iWBX}`*323U{!#a{3u5UJ>?N2RgMJ@f)2@#l29e|(ZHboL_ncZ8nvZZ;^N;E-h8~8wU(oY2 zm-t*T@?Xv&Sm&K3mEi?`c8ts$ZuP~#kG^|a4LlFCjk<3zcWR6H?bZk27lT|kxE-D^ z0oRn(+|t_4#CC;0W?9SLp;DDh+QTuv;El_lkNX9w?&GUj{4ZaORhK&(h3me+75+*- zkkA!)pPeziObz56Fi*6*FL7M^=N{1g^niY|QIP792dC4KYk&PR1^MKnAF=gP9S`P_ zQV)F_B6-FsKbwi;gU8h?Fus!kK@Gjnut$)7_wgY0hvQxl&O!%U;`?IM)hfzuJ%f5| z-~-=}h8_9U2YDQNp08P6GdN21$Ir42;jtaSK7ZWWw!M*GiDUN2XFmKeFHo4Z2v$9S zr-SNa76vF^0Dga|tKb*o^}P40V8U%PG_(cjocotx^~W5xAe=(GFD^yOdoUY$deV-) zL;r$tWH9QhpLzcDm7n(A)!a4r8+l3MQ;BsX;19kzoKT7C!Je^skxBOfW9*c>Vuzep zUO3(IBgwB@3*I;jyWfXWha+f&(eGo-RL&CnO6kwarqDqK%nt^)3!Kdp_haaL*mkyL zx>0Qgb5%^Dwj7*w&`;kN$h3v zoAZkUgO%_2(NBNh=erX^-jU#0$|;+hNfNJm&QW!;+u;9XFk;0-_09ZIXjnlOl@Fg2 z%Y`G-!iaH!oAKUd-S%+M+ZV1<8x zIjYnXH^xv2&m%J|=_#nZzq`js?u6qbv({ZbvJ77Tdfvw#hZj*l2MUMq_g>zm{1OZ0 z6mIB8%@H@;+sc~WH(A*(_zwJ)tmA~9-cU91#pmHuiV(km-v|UYhhCT&cA`wYQZqC=|7|suRDsM8xTEyJul%e zSK4i+OYDOO-~PW|vCAs_h`i+H7O(=`HDq46vxe;9YsRGzuu#43ThHi%EUhUx*ga7jxd^27glXKC6#^<@O zId(gem^!!-d`zkZ|xV69XXYTy3-`Bn@lsK>aJ^1__-!K993#jNF6Ks+H zVh@AD2p82SK8+!$JD>Mlh`NpS>t7`4oba@tazrLO6R2s;J*P#J?2S^OO9B7&!K-xY zBcR-3LpaFC>PW8Zb?62qC+*L{nsbV|^x(W1QC_#YtDpaS8}+Nq$)r`RyS?B@Jl6Pa zeUkboEfT3K=$~1Qii{<&RmVdoC^`gi1K5B6G{_`;I_Lk!2v7dqK^Ns)^afvm=ljc{ zAHyEU9(xVu%-^(+r>#yqo6!(gVqR$ZtTEIZn97w?Ea~k*EaZJ+s3&6T>psOCmIK!# zvJK%Cy*AU&oYUhMNGvD4I?P+^$pPSvvr+AIKjL$>sD-s~yk0%SoQrKs$bad?;4$!% zeRxoP7dd16!1c^CWWP}re&SFB<{^)dsf@{eGKA;!T|4A%qOPmo##gz`9ZXuEl|?=P zbGY4*kNoEt`=19zXn)=cc@`Zy9Qkw!y5{mwu5}Ml&eSlo&UrT7HCWc&wy=isohGHw z2sXS{z`l~};7{IEh8JdJOSKta*vyKg&dN{FI@80Bs_^0`JyLZ_-cjVs2B|hVhHzU> z#*)i)IK43+V}50uwXvE*4LyHOdkD3rIcUxf`h8rVpM zeii;ow&D6tNYOdsco*%jYsab&;jEkNvzxU~Qk@d|ea34AtaB!b{XoC(&jA#R!(=Zt zy_%WMEMqcOu>l&sQ_I{s)MakuA7jUvg(tr+Z!qmbtn~3Z{sj1Qdz-i2mD`2ArVoT@ zo%TRKauh%UYbRpN(7V5rl%s?B7|W5y`OnR z9Lo1J(IVK~cMS+4#v%P33%?kj(^cTX;(Olfqj|3nq2qbVwv^xyshj6zm`izw1(L`0 z=5q~N#ytKFDa5a*YvA>n-(gV&K8*M}Tx^ve^rIDR<~Wb{3Cf!au~S{o%1HHlV?HKx z;?_CFNB|rf!!I_ReF~?%X+GwDxv0-%ujL<1;`76PU$~v%DRErFLG=5QKZ1T=-jBzE z)gL*Wl*dtsJaO1*mOKW32X)aaRCGsTYH^#^gZC+1J=XJ~~y3kh`1G30&I zc@(8X{#mV|o90c9OeTJ;51vjT_K`#_M8D5`txl!7pO@gnF!XCASTD8+dP~{YuMbooeKQ}~$JVM-R`)O~#@wdZld2*BsPi<;z5DhWHUmCM$$K2@ zEBeX%crQpl1AQ{f+BeNl*WcHD)Oj9A-llu6!efpI(# z;FeA`r9M1=0o(@OKf1WmFxDZ2_>e1(WBp#3C&Ol5l4K?N&2ON$tjq)Rsdm(b5B}eg znj1AfN_j93a}91kxV>(p<|M2Fp1P7MN6*;c;SV?nl@VxL|t`q7p=4)rS@uw7wmvV3W(Ewm(&RORe!aplFN`3h^ zTnX3Oe{EYQ>t5{36j}$HZhnXh-Q`5Ps>mVWeaUZb^7+33uTON~7yU@=QK-k*7P}@j zTI+>&;lermBMBUSS;Q2}J^3mfdQ0vPk0RHS^;07}g#R`**bNA5ivk&F`G4PErr|&dBUUJxLTnFc2GaU58_LGKkOe*BXnNYE8oc84uRO$;i^{%@|3+$NBHjt0&@}$4wC4o zyJ5eN2lyWs)Ez9CY8E8E$=`;f{$<@+0P>Q!pKs_zEH|6F2k!?C%w(KqG4xhD5ujiMeF^0gE&Rvs_j{C)w_OdLvUFE2~~xL^FC!;g1*<9fuFn$Uxa%k zK}DCnz8~^mBzP;wkhv!ED&OQ457iAx>c3Tomd1XNy!S~Dk@rEnVMPr|J>BltnbIiUeoV!K)P2%(G zQw_Xg_IuWLC&8|?DluXiI1%hflCw3t5}o^4t?$ukCY_%Suv0#LEq^-6c{iA6<#6s* zvs|MWFP5K$(z8q$Sh25^d300UFR+uj*Gtiy8Gjea5lj9ULnbyL%y*;DJqnLm)J&o< zUMw8rz2VICJ(e+iya76)<_D~E1>9pwyom`Uc#n+EH9{t39{ z>|5Q3eI*CThJrWF9J{HR%5&W9NMd{5oFv@2$PWpsw_a3eNbcf?6y@21OH&co#AWD2 zm>Yf@{r*-j2nu$)D1UrlH2ntsaWo6(07#MCS>wuqphhUCjE@k>#@~m+e^PSatnDaZ zDc%eNBWV`=YJGY~mFnPb8^N$A{EmJFDpAv4lfCtQG#x%F=Ge6iCLSL-`#ESn^risf zwduUFaXJ^nexLJaM}ULr!@4e9Zyb;AxE%a329s5Q-U#v4ZSF==He)&mLZ6KNv8(q@ zgZ;15;b&p)!tzFb^zshCq>aGm=l9U7*T%1GNLt`X+%7*|1%D-IBOT}9eqp2PKs#E( ze3ELVdj1=j7r<_teEGH^oXjVodjDdM3VJ}>`t6dn-|CY>FXoQ=bq4gwn1IBqTsz9`(Pe{Y!`EjkvP)G*;YH+zvzJkGVXEi&YuKTwBQ z&equrdX#gx7&Z^4p&Zou9KHZPznG7~y}kUQi;d)#J3wzGddB^ZbQdX@>AxkBjQ2|t zh;7o2)r*Y5NaeDBk)r+y{JmV?dIiG&!(hRuW7H?H%SG~mVg@6R4?c?(n2+%oqVlK= zxj(wWzb|_W_zH(}4oUVH_0w#(RDEA?4BbzEw_xmZv(B}k9}_;_ZL{W~xdhU$+?e`# z%N%RxC<|(IC2~Z?E&X&p*wR||(Eq%E{)RcCQ|)OVVuDg?MbKu};UXXTnfRRZ3<+MS z8!mj^Yl)tkCo&|1Kv7yh1p4IXR}e`2oiEKna-HS$A5yv@oIhP>&hmO-Pa z8hHliM>q!-I)_A#26HDiLO-T_i0j50w1KB?nrJ5G*STGgN6ZD_PX#Vqj4L|p zsQCvrmG%5%{}RfACm%cdk}vSD{b@Mw?LYVtQhlIE$u%}igQFICuf2h1iLT@(@2AZ_ zq22-Ja=_9Qo!d=?-ja1%En+E}Ij7m+E|UTtJIOhU9VVu0!m$stG;`^KuW|9IQEQHT^Xwskl3pO=YKkpBo@g8l4B%P5oR4Q&E~ z2vdXnKIx@-ue&3J+gN^tm*}Aik?RZy)Q)BTm?z8L5x*A+{wgqd$~d=bP1SENhaLuT z?ekh4NhjMl>tcNB)EP80QFJK6X73q_G8&^7+0CKwhx~!si%#Uw#Mw z@w+}Cg&=30Ccb^1zBiUQKBX@Fm0elDfqq|nf;R)?HSwc;oZgRH66gySz+oN+s#m}+ z*n&mB`cE)vuBe6V>o~`pb87~`U&%5!*9A8X&Zqi2&qQ6gFzoI}tjif|cBh7%vyob2 zJY+!{=B>DuGM&OJtG@|;G2xU)*{L21{fp$%)dROk1fID@@$-gPB5g;JaFtrP5!+Rt zMJ5weFqQw!PElRLY8Uk-_l?#3nR4#L_|qNUN!rK4f5v0ab!VK3+lb+}!0Y4rLs6LI z=bh+{eqREAi;X+CVa)GjLu2vH{5~K2F&Y7PavEOI> z$(S;OB-d=tT<|zpfc@A^b6D=TC4(Nae_>2K)nl0(`u&=$`z84P`PXS#UiUl~V~FQ) z?Hs_f6i`=|Avt>BG6}DCejp+J_NP|uebiTZ#Dbt!9Q{`rXS%ZzilQsl#PQ&{==WDM zx3S1x{kOrmU-)81UXt{OS$T%cZKsFRM&!u9sXUb6Lb-N*d4|?U_psmR0dR&d@woHT z0uy!me?*;kSXJk?^+hqFSg-)r*ka{GP-755*R+8eqlloO7}*p7rHX(`aRVD$?7jDB z>@D_gtck{6XeuJc*rO3kqJCq}$$h^2$GOkB=iJ1=TI+r19Ao?j1Kih#iLa^hx=hh& zKmQj)NS!|Jf_b00>rTB(?}0x?(0tyHCS_3x*E99JZzQnn<6K=iD8Hr=+s>+X_mO#H ze9$oM8^HOpzDJEC(}Hbj9rJ-dCDQ@^1MYCqJWHQA;-2Rx5-=we^S<s&?(hhFr_1(=zW*RS$H?V> z@Q>hlbHH?5DE$FC`FFX2gvU7j-|<$&<8RRsPu)XLuvedVKKlHa`!>2GF^)HBHtu=M zD;&kK({RW*fX$koqXn&E&?0EA#3Cbi^V>hUq+=eyN>2yqQ{nO~7dW&_375z-U74s#IW%ZGHkZwM#*h@JG5E$WZn zDdq;<9iTjclYxZxvfrjWY^}buPnDFjw<=k=a&=s^FDffmb(cx-kBI@dKzi;gm=b6N z|BpZN$Q&44g}yN!eCma3K03lp{U>|C9|Mo*UAZypvxeU?frAXt^QAA_g-DLy4dJT0 zlrO726Zx@(*3LH7Ju`^0ksW@xX)FQe;3D{Q!h!rZNPQb$`Vwe^_>z|xvZw10{Uskk zl4Ul;`@!o|%<9|d<)S^+x51@gaM;f#`Wdx(dDZg`7cVYoi&XB_NAQ$5hwqU}9HY6} zCynkx#+*IIn}8jBl~g-H`Tko6ir=JuE9mUJ;P}I&`AfVn%w1|f1N~j>YyT0tAr{M4 z_t5Xde3UPWjofk|T+MgTT#a`Yt>mES8b5O3MLOiI@;Ed7518VH;D!t5@gRCQ!Ef%3d?oMe z-mXKR3f^1q42$U9o;~3gV;|E{A1YJc(dltTgpra++=U0BjMeoY)`0b>It@lNG`4_4U|so+LGqmF=Z(!*~b&Ec-I|x@uq1h*)}7 z0|i-^V@UcD1MeEG8SK<0n%Mrhe!o9C!Vcy?3Y_G8Rd{|)=GFB$L> zd&gMFxpnyYg|G0$hq&IfYR^=CAK;4sKCQSC^h*BUQ^ALkz3i_82{E9WyIql^=f^e2 zM643ETI?kpzvXM=i7~8M*pI>1xOfu$FfxD6D>j73H^)J^OYMI^{)J!Hoqpnzcvu2% zIp2pixfA2sR`hYCO_)Z5mt_-Z`8(I#@lZeOycBAM{>V;Wj-~&$*?ihJ=Yi1$dzD%a z>H555Klbo<+a3MU|MI~E=Rf@X^|*NOus2m?n@v!>@Y@=}&yT0J%U}y~@wd<`06%{f zzEB1GNS@LUdxEyj<~$0UXH6kIPgq8)pSOZV&#lfm2KPJP_#OTj9$34Es;)ORQ1|2g z@%!Z1{z6Z}ziyugzGXW5H|(dB0#YjJS5?vx5^IuMY!N zO`=VexG?9Ex~`rwr%*JIL(vwzH5lj@lt~7F-roax2MnU1X{u0N$@UY zkGINA`E8d&G;iK)jO=$apjV3TX%~F|{NKm59Tb`W{>?{!5+AfJ;pe|Nu)(V@(;k947V5Y`gNZ8UO_oH7Eed$&K0syXWji&rx+~PruDd=3OBK-o{ZpbfY zYRJBG>@S4B`O%~t#Sh@Q$X~a>2)4(Q{q0EcwNJ4ds5ztXRPCQSl}1-*gJ`qFn?`3R zADHZko&oNsM~?=_B5wwyDE|+6$X ziv!{5|Ki#N@L?pr;wQXG?}q3XV=nOxcikf*FUI~+hYQ&h!N5E4E*fw__TCib6uXY4 zo4;95&0b^-#lSViKb_u#i@bI}c(C}&1k6WXjsv%Cl89~HtBSpa*MDGgJpIExVK?DF zWTV!43puVV8*~`_B;jc;MGlB_l=%P4W}{QFwdmk0j*r&ozpaHD0t2!C%N&Dwr6=EL z?kqk&RQalSz8J$-9BoCYMaA6WNx~1`YA?Rpec+EtuiI8v{hs|VM&}{iXJr2AaZmTV z%cHd?s9b>bUO!)o_XPmp%zX5Ka6l$Gh*|)&_-T<@xs}LQ^89*aRi@_ckf&jJzis>w zo%8VLHh8fg5kZ|$bomxPf5c$UB^@m^>}Q+oW8vrL-><_jX~gTY4efnMYA9)#`YBpD z30JCOwk^3o7_r~#S+eF)ySdQDNdPZ`KX4m%ss5Pvg>T-Wz^Jgd&yM}ikr!kCa`VD-3ex0wayk#_myixC_nSQANL7K!u0&6<9Bglm zF>I7r0gfv7o3^eoPl!ndnsoCWYr2!u0`v3^5Vg9XUS2zj}=O7_aGldZuX}7WXm6h&Jhf?*uRAuMU*? z{!I_~E!ppt3%@1z3(v>-!WX*5;PdlEr$@BviMT(Ae`9m8AsoJ0j?%-l{&JS~ipCA1 zSKJdhEtqOCP^7*Gea{#R>)P6v(R3n#ieapSzHc?j`=^K1@#h1jt7Izt$=uV>;eo+^ zo*5U@)dvpUA_M^0t=NxM&xo5TOsd!oenJc!wg_uhnblpPznL9QwiG){s z&WD2Aq4=nO5*ZAz$Na*4zwO6H%lzF6ewa#Ppw2P4Hf2`T;8 zo45K4ud;#}?`in%#|bf6BsE$CgXI6;8oy`R=l&2z#+}WB9!|<6{)~Ihj!`c0w?jyL zDR;A|H*k4FJ48qi$TvN*NWPby?i>6W58i4gJX-gWX{tZ`JwSaB1(?V97yNH)Jtv`8 zGB@)(%r8m6j=g>6OgYzZfkgkN^t^SAqb;-e#mqOv=Zkz8TBK@T&I}aYVE@Jh;@UMo zmvH^wCAkS--+U;9dT`HoP4F#wkF+{j?@{nu^0?QfJ5e_Vw82k?ZETMkAL0L=exd2- zO4!E@|LT{Y0y3mmYIODugRyZPc9>~8VmvKB2hnvL_s{zHN^aBM^R4#W{op}A7qu-n zf2R#$Yv(k~;9A8B@LL{bFmFn%qdbmb^)M7|RD`3F<+^Rk6PS~E#(Pwp4IsWX2l;^Xyu zdlbC$ceTo_MP7{i3&$CJdD9c(Xqlm(92bYu)}o_JsGBTn{} zZHzv*4P&V}+v|ti6~Ew_anaO=g+%Z!xW=u~Bnu&perLq2EIsD~f+H_p#n@R1M_?sDBRnmb;fto_O0k8x~d z5_o-8cz^@1Z&f@TS~sz;hfiRET^!*vI%4LK49N%4;hVUvuKKD3JaC=lt~NS2L|UwF^f^=}XDUtgA@{#E$>Heh|%q#gKU@TLB*Te{w7@b{g?_r)2QgHhYI zzIGBJt-Jluc%4Q37%|`{a~$IQ1RuS};yoL}hVxCH;-J2AB4Uqc4ebAAgLpBHUW~UD)NRdPW%X zVz|$Sw#-%@7y2vNuRE+#jP^%#ixr-qUrpSTnYWc4t$luf`xDpZbefNQ7~ANu7d{Pn zq-S&xp_Th^`Nh}+vfp)bnDjqZSedCh?#USGO*6xvJaJ3Rn`PLan^~UL%9aY*IFGy-yGgd=`O0Ix2JibD zd`>3xNB%{Aka-5j`0nQ>5Vi>`Qhw5Nx51eN&G!$&xxw$rb~i#x{jB|WLWqy`jp#?_ z^>qp6mw(w`06l*WUjO@%ME>`!!Unz$*Z$T!R=THb6DM4j%CQ-Qc1MtPuJbY5{P1P7 z>O`1dgl9Y5mnsWz^R4k3Hlb1bJZK?<-2b(adHL>k^wEuh;S&1`#L)w8P5Y#>9QxXeLbV>Msh{DILMpuhO6bh^p~Acaxl zLph7{Sb71#t<*fMx9*`<#1q&4eDx1}Sh)D}{KCHd$5~0*i?q*&=Kb4XY9{)|xWD54 zLu-oX4{*_F>09Xs9~a~d6l>)eQt$Q|`V#BQU#T_cg)fK6UgC%2$RkHUFe)EQuToHyIdh1fL(nVbInIa> z4%WxXS#&}Qe+rEh2};;WU&>tUdDw>RPVfaWz-5tjVRUW$_lr&68vg_U1qIK2Tw@~LvI-`u!g@3Kg=u+ zzI8AWkBND^e3gIu<6ENzJ}(n@d1&skZ$^ar;aD18izr{jGASo?g9bh^!;v6J2ex0rcfY67M3MX0;4>RF3Zr~=w` zd(;gkKNc$QdJ*aihYkU6T=a>i(Ny$p-Q)G5z#o%^S+T)3mu=8hP5~1#5&l2%!O zVSTYGiMV$9P67BZ2ny6lPSQMU`|{G8*rieeG4?eNelyMULB^^4eEO_o4;+rgAou1)yG;?j5XdiD>eKzq%pkJi5eD=6wDK%rl^RpV@XWK{(H2QUmo|g1zZ-dWc&-yH@}0|hdFQ?_%J*-Sa2VczU!Ug>O<{Jgy}u!$-Z#iYi+Vp4hMMS z>^eBmJA>F>I%?ky<0X^t+{TX^kX zf0Lkm*h|R2V4vEtKX~KJ9lL@(HQtM%v%Kidf!wKS=u49Gp&9Pq>?8Hh(jKEm4-N5e zdO7O*wjztRGjG1mAYz=!(E+7RYqbzjDt*^U$kOs9ue?{^Of~ zugJPcuLs5*^cSSLrc)XlB6mm8TEw2ba32*v5bk4)eQ0nAJp;Jc9s?hZc{tNBcZeTk z1Dn-D7kO}%*?lP7WP%Aviz__As}x2SJ;lq;=18rE-NLA3M;HOP&jt6cAy zQ(%YP#j4?cu{jB5urBxVt|D|PDk4o*^f&Uy&RR{QSKCozwxm5%ks0TUlsueP#30cGMFO-u+Q& z#Hv<<7XyS_H8~Htd(6*oKDX9BojSH;g%6tjkIA$buHD@SoR!~u9o%%tm9g!R-{-o* zT{*^er?5J~&?|o(KDWc;*gyiFz0tq$E6ZLN`F-g{ig6?1(4P+>tR-t(gEzi6ugy1u zS0sxsfwqA+&JU&s33sLPp>XLdv3X@h5o~lS7e^dxU)3u^d7_0kjfZgIKHr3W7tbUA zw;w~lnBTgSx4X?MG1$*h6Fm@I7v5~T4XwcE>i1D*-GlwxH#{5mq{$=wnc83>%Iq>9f&^%#n7oWH}0prz;`A> z+AwA5UU$`l`MvtqciQd+*@W1MIq0Z|+;cllOc8!$5cZi%x#yu*krCjy?~3{BbXp#P z!Y<@1kE7Nr3-kVD@DO`}pZxd1^b;|BPQuT#H4T1#=II{JqBX#bHHI%s`q+lxd`YIH04&l8&Jw&3lu+d8Tk1xJV#+Hc;n2u zJ~J&@_Y|9)iMN^G+(lpJXaq~}zDQ2*ex5NNIHwPIKc0D^=qD~v_L@mQCumPr8~BXb zP?qARy*}4Mbl!qLnK^Xl)+B46GxSPqt@T=a z>Iigw)a^8xa@3@Gn~;1%xKf`YRkwTNLyQxs-534CxWFcF!9Mv@^IA=yS8^?MnZ60S zCx+h=>ygoIqEob2hH$FU#dpds{r9u^je6&FZUE;FU(lfxrsrtmp-!IOv7J%8oPbH=8>y!%@m&0Q08T# zUhb1=2(i3)x1L4)*TW-Z{+TfZxd85WcfD^&4gE_y+2h{&DUAfL-OPt%p9z2R9}GJ8 zaH6Yn;kFeYK_dLapeVkzDg(b22WYFrD&L@I95Ftncz3ShgYj$z?qkCB2k%01#@LsM z&u&0C?MKbe4)~L8IT-OgMEPl*#}J@s;nByFi7`O?z#l^ke2>U*qDVGQz6qxj!n3lX z!;hSL?fyEhbpM#4eIBv!!?4i_`eQ2UyfRyxs65xb{phQEj45vo;lgkAAjU4#{JNrW z?N{RdhN-Pq`5G>C6zlHHyC$+{V>I%WvOh+?Qus#T^E2-Awe3LSHhYh-ROv7A`x804 z_SkT2^VVL&5%4usYijZO+E?_JLqDb{C%rCklgo{jalalTyIA9oM?4mn?XC#jD59=SKfuEU{M zau4F-cj%|{IyLXy1@z9Mka^(bB=t=m1lN(d76VHAlK!-&6yPaZf{(+x#u?1b!2ZY5uh0Izl&5sSRecpLVzie! zEtdEiReRQ5gQ*1X_C*uinr+Lu2k7~{(?VA#0T_=#ITx{~kluMqg!H?w9GgYyQcP25piQFMFuUsXp&Cf@C(vVp z+UhGkd{lS!9;WwW=#|_*R%e;5~b3{(E?js(B6W0pQ$RhD$ zr`L#}FM!)B_z!)2=+D_maiYtOh{zz0Q`y3A$^UtS^UxD+0*u+RvVH|^hE?$2qMUv{G|{KvdpV;lE2J&h#1 z1@*ix_z>62W#+ly3Xb5F8X&*)v@;2 ztG^R{ufrJtl<7*tIgk1U^cU2f&w3G4%4sSvm{;BN2jr@mXMVz;IG!^k%|h&Ux|Ibz zYe4Vi<`DQ{5bX3`WhTB>7S9eNj;)MZm??cREoa1tZ)p(x$;{#DdKPmJ2LW0{Xm5Hg zoKwGW@lc_WKG^#6(2aJQfB!CxScaK%Zvch;)VtNAUARYazU5JC8qJFb7w}*aN2@g` znfTY{_MNll9MSK*2t_aC7)KuebpWw3*N}bK_ypqE?2=xAlK(p}1NVB)ftCxWmizq& zWCgep*Mw}{5uzN>GGoY#0fFQ$H*dRcu>27?4}KV4#20~U$QUI%U+r;wUSc$2!J`d&Q+Odf$42zHIo-{~_3M>) zI@3VjPwm7#j(y{?|L5n=HAKHT8%c%0TAbhNLwIXFZa_cp$41Pr(v)upf3h3uFy1#y zP`=Emfs`BVxMWl}?5VhKE>%bCRS^2#^|gqzvl zLHt9ZeM*uR)b@tKQ!8U z2!Y~NbHOiJbOC&ZEwv()BLp4!JH!g^Cl(r^Xh|-&$WHgOzTk~RHwlKHA8pf(7NHkR zzIV{~g9Th|OW$4mG9vrCWMa9bCOK1CmRUE&h@NQ={jeJBqCZc{H8_C3J}!aS&bh)B zJXrKccbJ->y@j8#&*NavF!(Lu^ZBqnMCO&y&k4eV95E+Z`xTH!=GvOn)}%f~yf3mp z#k}7RH5dJ^#fqQoL5mC;Rh64EZy3CuUyARD^bdXvQlBey5FXP5)|MEY*UyOY5YA^S zvyJq$ZuBzizHYlSO}TpKp6wQs?s1Y#rMZzjgE{M~PeoD`gOK+4NWX4c%~a*0_9~rU zupfJZ1sFNO&(EMp?8k(Q);)zTHifW#%0yhx(a+)~@6nT4@#K%s)%l@O;v@R*SSBrG z;|TmPp52E2@l!_!&F%MwzZ`AgE))G!zrJqLzQ~pC`qys^jtu6lii5IcpL=vD-WTxR z9-2}J*zZlv;g4Nchc~rFhTtSmr>U+vEK2)laK73z*RCK@IC5Rrc~d7WG)zO{g{ScX z`#H(w&a%+?3Z0kU=#oT?n=R;%K5(wZlHSI}+2&{AnHv!pekNnB%lVs$nIyHxkukI)>D{PZc0<%pj(P1M=UTo*e+rKE;_6w-OL8bQq|fz~9m(?@ z0iF6k0O{Tg5Kg)2W}t8l8#izwA1+2jUW|3C)juSwU&P;8{E=-~AKi}yP3<_%ncL#4IhcU_lhd){TnDE0$KD`$y zXZ&oq^xK7%SkcL~)0++|A4gSL_wSUU^V!uK#v|CJ9N{0cg6$~Xp_Dg1z*l{OPfCnW zz*(7Ad#H|g%|^~?<~^`)vrmpQZNeYx!9nyGU%qUdz<%smC|6 z2bp7BQfa^|G+M7plljUq1*t4*A*j;_d z4ISz3ug%Ujh=ab*c{2R-@%1mklA=7&hwv9ku(QbMuqSHkcFbEmcFrFcMYS0Ok!4mt zQ<)_7ZJh8X&iU_4ikEz+6L{mir!U-O(OyIUB$_Y@lXSWdy@&0+w=ME8T%0q}nqI@- zR(JhqIhWo*Czrm+Cpm`vd@tdC#Jv=Lp~`u~{e^Q3Ug=iED*w~Hp0tM-sw3g&$KY!H z(V~5!v93BV6h*5)?j8JBoaa1MU`W0$JevN;y3n8g#5HV3v(PgGIm{FOWbJ(mk~z55 zTC;M`)`ZEvr{_R}OxD@r%^3|*BC*SQqePO$B?cv+tMySz_uAc*59~(?u#>jUd`vmy> zu(521UrhAjA4vNg9-s$9dgQHy(_FPd9NhzE=yjhA;u_i1N;i#h%%8=6jIo7@4d9zZ zAKr}dzM6jvd}~ncvCljI;z4#ih*YR3_si=k$YXN9eUUS{@xI`^iT+|v%OR8YHhr6C zNFU7mNa+P|eXsoFH2BBZR^S7ls`OLtgf7m3>#zhG47yM~CtvYrt;;CQBZCJZ+=;VZ zH0B2wPH)8%@RD&mci=nk{a@|fWwSJox(Rt?-qU3`P$gWX_rp&<0(Ox6`+k}ehj024 zU-a_aMW1^)0l8%?0N%{YR?gLH59Pn_2JeFJtyRX-eE!aQpudv&Pz}?G`{Zt8pF9P6 z->j8p0yv32B%K4}`OwY$cEA>rW@l>ArJbU5n z{MRg-cEVno3_r|4&KXoeuMrPW@WY6Ix~Ra&XU_YAXu_>KG_FYiv8_5}HF^M8Fo8eW zhjX9Pa4!dMy!RRK$JkI%h&(cU9E(n6s_zs2N6ED$4I#8}9=Z>mGl=)H(GkRb+aLY1 zgsb-MNTDGOX|%NU{9KQ8v8Ns!}Sa&UjIeI&(A%4?Vo`^ zw($O@T|LJT*Bte_oUFVl?2pCgjr|xX?6sQQ2`8!Bz68G!=UBgp)9>lG=o6D3-W$d= z?qA36e;60~y$;g;2v=Y7TwDb|q7tJO2aCIUXucYJ7>+e`X>TT$UGB_s)}EV9@LRG! zVz^1?<-%Np<21_;M(W(O%7<{`PK^4xkMis~}}=75>}aa>tElZb6x<0}lH|9Bs<8GL8(7*eb))QpW$xfbfpAgSym z%_VH|(R|JSl5~HWXe~XuQ&*1`zS;x$0)!9SG{@kY8n->@QDLLl*P-Of&s#RjVAs3 zxT&9caR>oR_`2821cJNTW+wPBY>OB$J)FMa;;BZYeh~co2-vju%m;7x3JNDT#uD2e zzO9)-f(dJS!(d(q=ZiU)TDu^KDsy2wbP(lRmKbI>5O?$-+=`Jnu+cnJYcpY~m$7xU zGfhO?>&0Rdg>Z3lfQb?~|Meo*z?Ltl;l@by{V(y+dFNdUiR_EMB;lNm_SU}8M)1wC zpB4QtY|nWQ9xSol5qkvLr;PTZHmCi(3h+d;MTx3|HoRl|s zj}~Bky+7Pf{TaWYM+SCMbAmf~zg!9D-u6!^)78!`jD z3-}xRK{w$2)xi!?>I(=mYrgzQA~l5nC18%X`s_X8CHLAA{weNpsPQ9sN~neT=WFPi zsK@>8TlA`9Y}t4)QT2LfYvJnd7&MwVuJ*YAeVmR$Zf>4o#h^gEFCRFUxB+=&E~YJ;N*tdp?wLkScrl;i zO~NN_fxRH}xUYe`#M}k96gr3TV;1grXO2PezS=fvBx%lNH zyf3`(EW&fnoWibCER>FYT9ejE#C7N6aSst*-_b<BG083T52GKd{}&sE zJaP%2&x61(=YF$)0;oMe_e)P=&SHRdr3l*NduN7ANv7&eBMOZ@>&KmKwZu+z;@`s3 zlna6U3;uG=+|NO01V>|a4JZ0T`qe9`-^w+aPB((0U)`Bzo~`VAW_t|zvB4Mql+S2U zy&jZn6vIdVAOZJy9{3stY94GB&W{=Re<&NSeem$}OMl_E5Y1yFUsj1P*z1$2Imafj zPnKSn?(kb;Pn^FeT>1G=tf(V{zFx)39`gHE8H742B*AVO>tP3bu-Qy2dEZeUy$|eL z^#Tu;ivXULX#RRV{O+7LziuNrZ69y!lYwoSG259I@I__4Nqa{oV_#6Z-)T3m=Cjt= zC*OzNz06tgrP-$5D3!R~^AUOs8Oz>ifw%O(?tq_Pe4kdnv@*Vs&iSD)33;6f&|mm^ zP_G>!q+jJ#+fe$*KH3?9vbVVz zY^6Q+%RT8a#;Q~gdm0$%S5k1-qWs^1u5^hDaxX-a@N6%|P%jAr6&SC6*we0X0Q48; zC*+_{94*8n;fE1lWDd9ktY;1duMa-=HOtHdIq9d~^TLEHdTntgd2pf367(?fJq^4I z?tLBk0e*%=C?DWm$e!P^w9h@gkY%LZ9`N(?{iEfiH0{x-2JQ#zjQ^o`lF#$6owUam zdgYu-nCu28D=#9HD>_s0Re`o{Yw`AYPZSeZ}BJjHv zjlCIj=raC(tA0%#m(dY@77{!GPl@|;cbn-2FwM3$;1#n0I>A?Y1)bg+k8004atHc8 zpe29ps$Efhg4HAObL1T6MrX2TgT`l*<`%IZ>jgW{RM&h%b0v|qg@eS{kFhW3eD_r4 z$6ZNNKJpH4`STSZk1Sky==hQT9{Eu^*H39z571oz9x0 z;EQIA+wG^xB>KnFB4gR7r(Tt6rfcs`OcXib0B?+3$R4EA8^S*(T%#Os^~Bd z4cv;|wt>5{c07#RJwxd%V`85M5~~1jldP0;u?PA-^njsb?1^RKdNs0jUL5bL_kM6( zgj-iXR_BtkcZ|vG$C(qYy};E12=eQs1IV=CXYLkH?~Z3vFpQ4pU=PoH&jfGb%q@prIe>xQ7Y35_k+x0IK0Dl_*fv%-#!K@e z*w+^Deed@u`XA~9PS|5V#{Q-u541mHmV@v~_AJfPKTnN8k|!B1-1o+S|+|{3gsL z&zqr$u>^b=Ht?^DC)DZQPkIEsbnTo@U7?4phk!9~RFdrT67X}F$3}tj=vC&$e`{;u z9?hFPT5@{p%2<>$)#SFp=f(25m?zl4|2af`dIJMXb9`1LvD|K+%7=ekOZK-X=fQs? zc|}*r_5OY;n$Wg=+2|TWt5NH+HZk8|e%5qH^u1z@wk*k?;Ci2VcM#^6KPOf17KB`6 zEgZc63sR0=nwc`5zIi?qd>F@2HQ}^7D3k|V(kF(Q!wi|eT?8CV@fGQqCQ5nw5w%|6M`lmJZ;i9{}m1qP6?H(19 zNjNt9+XzoPBPvFHAX?JpR9jYK|IuKimHA+!#UMvTdfTTj@C* zLVSIk^$=W0$Z`)RCKK02gij17uAi;ffb=_+9j?6Uc~RLFhV&(+OCdIna&pUgezRhyeN2khxgb57C=p|>_clWfggr1hBJI5r_-<`MRJ*=8l=$!#GC()_on^eb+kc$WnDHFfu|&# zLiD{#&*yd%!S&VVn^9iMCrOT1A4AT?^Z1q%=MS`J^RzvIQa7b_t1P-~I(oRw zU_bSTtTs^x^Z*YW;x6-3*f|GkgvG|4TG^VP_`-wm+b@5-a|%KA+~0apGQEIZc5CE) zVnYcKx zUAKBk8ST?^L0=N`?nZ*0M?hQx++fu92nskW8Pf^IXmY%WfgKe~@%s+;lxv1zGdTdyI$<8&H7k;;2g8JD18Y&!%xmm~&G0zk4 zi{vpq-Si&3Dugz5kD0jiuLR;+q8;c%d9@HAOy03Ar z@qXbY_W#VU?y{}OxP@zM;PTSGnyOKfBWpeac~tZU#q3Iyp60pJy~!SZOXH1r8qc_` z@yHX58#sF^=6%W4HBKV7Ic@3SLvQC`K*4*q1HJcyzqVFhaL8zSv85o%1b?v1apQ6f zzSo36Zc zzRz~T@2&TLb-zHr}TTkOYp-}!~Ja^S|r5M$*xTg6cb>N&^x=Nf#jbbKrLH%MMM`*q(-Ay@Q2SSvOhJIMa8078%ZyY$^&G5f~9`RtmLFxlVe$11N zWsj_MUyJ?qRs@k7e3c=+s81)}Ft(iDQ06vtT;Z3!4^mDy^84zWEHT8Nve<)UUxU6^ z<_RwGGpnyU#96sO3ry-So{9b!^w1^u%s0f31^p!mah}F!dT|yaJ-NU% zZG)d5IN_%g@txSv#Qux}dNUD+Nz8=bQtrp_eQ`bHMDY69UcBvCymF8`;X9AN%Z|;N z#QVLHg%5O(SJgpzdHu2|;}Q(dv;CA~cEzOo?3wO*9=vlP{=6LPldaEhnuk7zp(#55 zgST@P>-SoniVSPm33eBy5mPk^yF?LxFAFAtC&i#V_{TT~IB7rnE0L0`5Q_a6J`XM7 zV-a8H4vXYg^D*yB??$AL_8L4%)E>*edLOH`Vl**6_&)N$!e!_Tzaop-V!Lw*m`~+MT@EkJNm`Ma!DN{C zBO%MbcFiD(fh@ma@ct+rd353DS(yl!loLOieM@=#Zw-!*Th@7$a#t%-7~;|!W3W%- zV%~|)G(8xB>s2P%H#XaW{h9=x^9@i4sx7<}seKF&eUw|{3BM(Bds7Qbd9ZuE3HG}3 z6QiNaa&05HnmAsr%uY!m##PjRV^Te65Bgs)r#Rn_SD!aHlk8s|2VD$MEuW3rF$@^sO z+rC_6aIfda_-pq_A_5sa>pK1mACwg44(9(IC zG21ckbG@?LEFaCWA(yHA6l+SxHQVaKXz>lzbg~dyJx?4@$T7Gsb@8uR%A;}(rE@Gd zS`8DfQS-xA`dqB>q>1Gk2OJNzC&Uh-c0=FyLM=&BoU3w}|3VKk&lUZl?{h6r)4K+* zX=hJCp1Tg55*-7Gaodx&Sg7p~FTa7EEEG0<{AAB;_z3yj1(!~IO%K9|*H%@L--miW zwA^#>VL)H;1 z{vtY5{WRqoLw~7{7+k&f2{iFxr|G|dr_>xEv2Q!2XkYaK6T#)=bw1XMxTo~EC7x=s z;D&ks-9Q9=8)V6Ovg#f5eeQKy=^*-O4)lHLdu=p`4noJ@Lcz*gJ?l_ND6`CHs2R{WaXMYFr?@Fd*sE~kBz-tKeS-k?Sj4!uH0DcxumZ1 zA8*~?{ur;k`rBE=vRvdj_`&dN%lILQI7U!D(MNnA{cyg-;qj<*r5tsFFK+3i(egev zva%@Wr+bdU{GlTF>!oM%VTjI^0m$8ULlJprEA7X1_SEm|?OMcfTLO6-$vgqZnE2*ATJz4g?F1y;0^rG|uPYLVd7}hJ(_(je!lIlio zJRFojj{JQt9!gRZJqJ88{!m>XAw0}W&?{vgSrMW=sE-nq54bX!{$_5+%y8`=X-3*V zgn$1>+eRrz4#EG;Joclpjk_hFRdUvH$FP5WzJbR;Q&e z9bUl3-x7nL=cV2rlC$4B&4x07JA2pOOyWEJ%2~Pn6HN3K|A9xEXb_K;lxJMzeA&9l z(z(ZnLLqPWs+21G+YOle?%qQ|k=dJm#F()X?+g15_U3^wDZFidG|-v3hPM@v;5qv6v&qn#a>y}z*s zdkD7on7|*C0R{6u`YRu|fFFhrt`;8BqvL{kpY`=$cA+mxg5dX!o^Jpo_&rT^?AlS{ z3#vTcOebL+T?X9|OMyG_xL0y6@7wO^vp~Oel~m-_xHovIMYsvuz<(84)!m1Bv%whp zzT}KQm7}pJEQo+V8FR9jx$}xn8hJ3K(bnioNW6&IYxDN$HZAEAabMFUz zpP$#y*pCVJ-TiGKRrP$pmV&1 zx&ui5zYW-vV2pM42$JvOta&&`nO8I{jNq23TX{kzMR5V|uo%tn-U*OA{H*C{Mo(16LOZ@NiW6ASa7rX2T?dcbl;EH0|{+4J=WH9BCa)xd{aqu zta5dd=@D>5hmN!%o6+7U`})RESB$&U{`o(yZN4FTVmSINct84RsQi33&P|XW(XDq! z&`9{-&Ih_lE@2qn7p@Pi^EdPw_9<*iR_^yg@cGy%^)-?77c2-@-ufOZVp-$o>#@WX zhXalo+S3|x(>RI!`}-AU?L~bSME`ueKK3sUUz&s-mUgE~4Cy7v1V5P%2=Fe%|KGz* zUdi}H_i`4WLBeE{_E6xQS%tNH^37Z$l>@V@B6YvF6+POA8x;Q1FjdaQj%jJ~{kjER zd?$anp;wB|^e_1Qcwk}&rs%nO!9-lQR&A0OZN`41-nMw^0vo{hO``~{%$B6J@XJc! z!UID%i!bd7`1HQ3dS_|=aJ--7jE?^fP82V=W87&b7Yg5XAdYE|Z<|eA`!J;w<}+La z^S?_Wv~d6P^k_20OTpcJI{o>e%7zb7i!cs>05{Kf7O zFFdVLc+UBL`|CRBmDsC{fWK0>7(IQILw+)`bk9{z_mVhY(6Zut0r@bgOZ)z|@U@yO zDc$px4;4LfSTy?UxTmV86>a7N68b*7!OxZfPYKtRpYknq33iU1?yl0acWEy;$^4?B zk576qdlneN^Yo0?y;=eM$*8%D1+S0K{l-P;0p~xccaZ2-pEiJ}#KH1OVIQ{lDI{)4d1gR`EI5pkIu0 zYc+>yE}fhx8XSP)Cb*C7f|6w5KFs&FGS0g1$%>&eV-`7YuN)`-&L;2j4C%L?l0dPM zAeh^N2h028tqCMPEUR!z=GggsH#&mH?%vT5dX9L*)v9CESB?9aD+`ynfAQM1NpI}O zc#t>>os%#6@2%t>;axF~)?%W)=9Hm6sxNOE9}!3Rcc+=yHrN)t3mkTJK9BL$`|qa` zL-eI>9`qTQkDu<@&;ac1>xYv%uaqQx+=u25_~7!%jyMucN1e z5AzAHVe?L@bb|N%$fd$YQSTb~V?5W|g(L_Md3+0B>d9cPMC4!ieEJJK=Tn^*bXn)6 z+@y=~%EJ$elKjD^E1BwFj4w8rk6YN;fkwkV#heosmwrQjpYz28y;A&jYcRh6>)h!p zN8-3-QAjqyZP~EZCJ*s79h;US?}goqWWASS-e(?YG5W=XZyOLLoWX7Iry7HY?mYG} zkp#DR#asPkvGK~|-<>6M2%W_~c@RL$;9XQ@0WH~w4x?83w-1S>y^Yqw-ADirmY<_e zP2gt<;^JscpzT9Nd5Vtx_dz;Ju%jT`BZO^ge^7UN3a zuwm*kxE8>X)%Z4+xYhu>DPt-Za7={0&pkiQ0*Lw9dGI0dzu(i!LTnoGP6-TvoBNkv=?JEU-Zoo*_#;na|^Hen+W1^#G zgaeau1m`bvST-f7&$MMAasT1@Gn!L9*cdt_2mSZBkpmaIVIThk=XzVIpTGPq?30-T zd>-=(YVZn!h-z@)1$=(yia!4c{{#mX8^+08dZ2R#d2eTB@P@(tb+eC}iS1p7E1Rez z2W^)5(z6vTNS7G0?>+**2)3(L>?=xd(?_a`}PPbXm9potcgnab9%C+>l2kk&@M)v6x;(CQa&@1Kp<5Fa_1pu~U z1oTSIqoGGb&NuwLp1^K8$ElR_^2VF`!LXUXK%bwXZoqzwU;J4)Yq+SeR-B@BkHqf&W<-rsIyYHu6-^-_a9WQh7>JT20L>+Oj?3oHT;I%P3k z5Q(BfLwfJt+3D|lFTRuiLx828k8;6WhKZil&&5eOFMVuDdXHOzN5R3>OKtR?0KcX1 zi7LdE_Q&TL1`p=YC*MMU41F_{)*R^9bnCJNLaRv1D)=p>AA6J=ecx`hL&ZWRA;kf&RjMoz)D z7z4uEaTC>LV^_Qv@#j2hdOWq}IqYzh_5)XfzQ+60&|*XQ9(x=#4?H7_KCYrp4%9SPgJ`fssM78z=ohxA-u1ZM-(lZtH$lL-_Lpk9lN7JPvIhn^qS z1-nK`4kuz7`k@&FhI}R0|9E20$3E~5!@%E!UbAc#`hxj?BQM7P9N%?Kq7*Ln>V$qV z&L8YfR4(P`a*{i2K5n$+@20-bDm@2o8(fnRG8VmpZU}B(4WT#&cwl}Rz=5wCR>U#x zY8}9bVcy8;T4LAu_ppWHBv9{4l6yWMt-AAa=oeow3G$9%2m8XH?#NxbL+Cy1FS+TC zV=d}a#@sGEDC8@vA;?#GJ$&eJoj!_IeSbUrt-==$jnVsbegK`BTDNbxgW&ISUIPAP z9vgou$|R(wkz~GSCsw{lAt;i{QUA=1b_iH36FDg4QjYs7v``jxK4QarE*O{-;4HwhBmFjk@; zq5C2;!M&Vr!M3T&b@MEJ{<6L4DEg_cxhCjd`td-`)xmH1 z5qP-cM@&?e1DFY3;x7wD9!vIxZc)N@%-EhuEK4@L`oIvbp^Jm`Z@%}=BB^h%_~{&U z5k2Q@6i9U^2M!v)b|9`-AL$N%GS*)4;H#D0_xxe2$tl{ij`Lc4Q+Is1b<%8GcKqjjl)jJzW4LcMSe--^BbP_p(#|%9R?A z^MU(Rj%3jh*z1pY21%axGWO>3y&oMWy(}4XGU*lr9CC zF2B0iM1t$eHqljJW45)N0$AdN0j)?NAH23Ujhpc4C&Xv`@$HO zkH{kn&t)i*{yHoZ&6?#-T-%Xj>queHqZfA1rV4CyP4FOI8{S$3UjfFI{CnW} zASKXsNs+<#o+Xaynnxh$KG^3J%`g-9A5Vur`P3E|FphZ>rx;TF;??IkPdR&y4_Sz7 zG`<1vf@>gb2Kvw)Jnkp2CsG;yAF`%fKdxT(XzgfX88NK}`d$S%a@%-~z01aJS=ygk zFI2fW>jQ;18?eGkeQq;K^Od#iwJ+^GdXIR272>M&zC_`wS}*1RP~xzsg>P<0f6 zG{YVoqH)38CJ~}b+^$@@Z;2{2_VPc-Uv_dX#2-a2q6HQZwR|XjBQ6q7!_>d&>7@SM z-nPW;ba9@^bh2;Wv0Y7^ssER7IQ$W#Juda*=oRa1;dzGeRB``;dvDW{+JO|Z>{!L} z=ofFn4`|hJ=>vTTy^`a>ffqw0ZxI1Le?7jh+`xR=xNOzc$HK)=eWWj`Fa1n-DSyL? zwqT!9r#kL`xL`hQok4AxE8F9yvHUv-^83IK=bi%0`xzo&VL!%m_L#SZXKRqb4|qtA z(f_Jdq&@&bv>pK-D);b=b0&T}{@rFG$n7tW!PhT)F}(khQ#%n!)8VUlmg_?UVb569 z8Tm@qsc)yzj)y2JIp8h5gX1C-bbjsROWbe%1?CqyKmRe&;lNYL!MnW372lsf;ZNSj zKmTm(b%9-<^z8ro_#SA!GS-1?IGFKc7D4SeWXkcQw(S3Q3?|03pFQZV&r^3tdEToe zW-A{EeHNgQ&&j@ndmwmx%c_Gn-kX~SiVVpU`=Q^7{h+B)GzV*rVc3r_|Nl1n#6SPm zXRgmvk9LSF@XX^JJdZqN2bQ>Z(=sCzy3kR-8g!Y1djT|-eY{Ci+`Rr7$PBKvBq-o9+ zxw+YF90Y%iI-grOYAc6KFYe+nR=xE5DeR-H35gxkVxLg7ZOb$H@LP=mGjtPIKDG27S;xuuAPjn?tpr|g80R^=P#alD!)MiR$E_v1O?@pBCP$#PGr zlSVvsOo#sBi4Tx3?qj@v>GW`*@}~!ZYsBXh@?vbWdlT#>`=qE;3oZ8RGMw4&FGw=;(iG435n|7jPe&?3rwbdlutJlI;eF zFQ_~EX*h>u^$FpUU_ei$}meTy! zZQ)$yLw9A&`Bzm!_4~0pQ2lZto_9!ml+US3GYd5?9@Ws0VDMi+(n%p9%M| zt7oc@YK!|A`{texg`UHD+35gEX3W+K^dqq^`eC?oRnC>>{AU#!(odNL{RJ1bngQ^w zGC$zL0P+Vt@W{`B)K`GOt@WI^S4r<1B}w|co7<2-RE?bzW0Yg}cdY8MS8@#LZ9=bu z-1n~z)m#(qXTqsJHG-mN_4fP&dE~icE4l%4_XMZ>y$HYT zCPTp|77iNpO2)d(o(4XQ93T%2&i~FS<3MazK8idt`+b|6{KP-7bgPM=`dT}F=dO9v zD-Ps^_uUMCvh;E^@z8s8W(x6mn|U%>_YN-i4bJz}ziKOx5SSz%SqEw6b_#fO1igM;6>H_OUE?{(B~qI4-cJDf(r3 zZ@S1%e0(e5w_L>-k*k-w+J%a_PO#vDWT#du#1^?;!K$57EVFW`Mi2L8$M+z8D(`ngd6^K@p0=)SlhLAdx& zu^$r~8uG}DE810)Xd;8865;3P{na`vE z#nRA07`xOlp~MhQdz6Rn6C!Pto6y{>`I4&6#F)D(ndt8VPvD%tNjXyYbB(jGou!V6 zRKLM&_>*C~tots7CUCEgcN$5bu?7BQ>>tNN-~R}F)&C>vJj1FwyLBysiW(J-f?Z>a zQ9)xA z@#4LhoJm}paCIv*gbRp1GUMs0cv^H`+rPJ-SGY&Rzh8qqiuYBH6pEU9e6=h}A9Qo_ z$`+pFj4|gAcwR6xFZhIhrJEGq3Jl>);CY$b97(Ynab!hLbT^(C_5-~-nyUHM<=~C; z@wH8o%w>NEzqvLFbKUqAjPi<%o_qHA<3Qu=^1?0!LX0`C9!8-S6YvEnP7GsL>hy0WuP<@no1lAy@+8Cht)jrz0@CSDgT+&=e@Wxp{n3h2=V#XhBk{71)+6msu zN7|c2R~z7q-a1Zv!0$I^64E{x)D;?&nZww?QTfY(@C-3e4}IkNEaJT#R{TBkpez>t zymO>D=2mvZ^TNGAt0!$^e!|`i0!?*DSNM4)5Aj=p!F<=XU-v_4`s9X9DQW&b+kZ#>LGC8smIat<(?Mq`>cN$7~rS5>uagX7y2GPaqj7^ zPnKRu{jaQ)30(2_={W{y)O#*%Lhp=!AF2(O{7vo6A;kKjkpVU&F=hC~8RNRTRW<3^ zwEqZy4D)WH+?1E~E}lLQ0hrMtQ8_9t^9|AR4UO0HIQEqtIDThj8RQW$!o? zUK7S5fDobRJgy#V->I@nh- zCMpWNarQ8*or>QZj@wqicbEIS*zYqIz|}rV`r_4gyOS*bj)xPkIp$WwejnQJ{kiER zxu8Q)+8gaf^pW>Mzenl04*eI|Qy@>kKCEW-#wrIAygu4x`J6$9{;-HCl7ue^ZS5 zy5W1Z#~dp1`%%KTdzfb;PX<>Wg2xW0sJ-zig#UEa^YCc=y$-?tX&J;i;FmAMXu(ft znlADt#=?f40^gF)y(8lYFV;|$_G~c{zs+}ugP7&>yz(0 zIDdjQjkXh?!SZX#k`JEU!b*IcFqO(NLZNf*gE=j8CK`jMB<~mGlZ9t=34BX%q7T8x zC-sS;)rf!G0nM{0Y+{)?J!iTR)6HTUB`6;xB9Wwr9DdKJ$>NIT@ze}>s_4N%B)ryL zR(jn78>2J>*ECRbnHWapZ6DMF;}|<-}mK4 z(Zp-B+MhE?bRaGdjQ6P^!##4){v-PPd`%tt(N{RsBb`EJXL~Uj5%08*-L+MlP!98?6b*nAs%-f z9u`JxBT?l29_KP(O*)i7-WqX?6yF$~Pe%BWD+cw^*E8r}#7`Q$9Hsu%SRbm1F@C*T zDZ-a8wclTSrPg*C^pM|g%Wxj!^KJ)kD*R@87J`#Bt@vY5#WSo79 z;2`E>tf|^D81r1tuWsxu=eGD)VFYc4IeWB+_J*G5-1(OpSu~t;6^%S8j0Jwk^H1B} ze)pQI>9qD|o){Dut@xmP1UYmD*W%tJyyYabatgsyVtwz;6+UD}jp=qPoEPDr4U7hV z8@-*tf}y}tZ&*Ka~)o@6%;x%Kx5f;&e@f3{;;)i6@DB!j?^B6cd<`=6#8P=llMKJB6*^ni_!@?qU~o#M9J?nj$g{D41xcJ z7yOfOKjcL)o|jYvSZ>}oQ$0E8W(y~y)_1|87hwGOmn95zXII z?;Tz3rI!|4(oAicGkM%a_Xy}!GPcaUbukzAfob&F9S0D4k?qE_d91;39N2Q9EO z$^OeG(TBD`8(pD#iuOAX`qNiD!1y79Ojx@%!t){=6Ay3Ne-lN}2;@zee|066c&%}v zcP26JbEhM`-@Ir)RZV)Ufz{Dh^80qh#Adx^9=H~JA>m_o@F3hydNy6-C?4m_@2txC zf8jxExmXyJL1r#uqJPI@+P!%X4L5)^-hihhKEIE#6gVTYMQ(^${Z8vsmD4-TN1kJ& zW)jWk0Xz6K{-|%f1ApuUVtuVJKNep3XJ2B^=EY?2$Cz_`*;eM~<9a5`KGW%}Ma~^d z4`DurIBls2i_Gsg9S&E28+x~rGyhORxwCD&)EhUds^+q-RuX@ny_@og7RM7Vsn2hB z#XL)V#dnR%oLB!6M+bl}Suih9_8}#HLM{Mt-Z|hm$v(6J{9;((jmGbV^c9*#h?nC! z_+wlvDv#$ya>iqWXb)b0KO(Qk@2`*8XRtQnBe=10&;M}Wkolg;LFR3@dzzHrf81Ad zj!Q$7msGELF<-bG{R2ML+Q(_ik??m>|I0A&VA)6g3ik<2_gZA<8a(f*?3qGunCo^V znEGKY^B8?g;7S60e~+X&oYTU6Up!4y!5ha5^t)Rrv<^MeXG_vGPcj<&eD>~gN*xr4-V|C#rK7| zk_$YEt*R$6AL{~8XsO!8_rUuu#C1-8d|#NF9vuJn9b=Wq-e2NG8|LaY*EcU^?TR4h=#rw+5jx-o`*?J|j)X!Vq zQ|3T}hG!7;X+8F1|0{W#odrfg-5&M+x6UN_wPU4`!vW8E;6HE(d;(n!mOXbME(ghYEKuX_;BMC@~Sl z_@tlV7nA#CSOPh+?-}zk@k#BqP#ObyA4Tc&jB^{u*r@A$3?JX^ zWkG1Pc@k{Ck&EFM!)1PW4>vO{U~m=Y$w&!ix=%!34E4058Tiid9<5iNF^mgDaWMqR z%-_{^_>p*TZATH;nSAm4hues!1?QL_XIQHI(GxxkE__xA5H5Br_{I45@*CXKAMl!e zgtz87w&VTHz98@}bRVCoy^DZCgV(spwH?K~8`Km1#*3RS-#{KldQ(@zv`;$ML*Kiv z9d+*CCQI)T!#xSK^+f-D83apNkLI}Vi?6IlfidU<0O5B{;$?e{Jj{P6c#OjQUFJ^c zeM!Fv_x-WZPb>~dqDok2n2}?V{WE@lpFjinrEMCqrYFwZj|vJ$k8f}+Rk`dRZT0y> zADMH=|NIO77jtvq7lT!(MEwRP(n{RL*{chiQ-Pbh@Qcun}^xEKs^>ViowBM6I#D&rx2J)XU zE5~6=1Qh{)unB%KzP4V*eqZumPlIS2K;BJX7JJVtMiVeB4&z_p`@;O+Kkpk!$wzO&28hp zk8LC-sX0dej(FcloWJBAR{~sFo-;2?p;2!Da4!|5dq3oprB{1AT=r5gaNlRIVnlX2 zonjCCjwsn*-tUfeDjv^=hoi)wdLaM*^ZDgm?l6`n+~L6G4dWU5kNKP63**A<+feZX zAD9rJ+>dibhIm22=i+Nhx$odd#@@TTkC|flK-sn>vBoTQA$Uss9>IIOhWz5@8p4a2 z8bcE6KIuo#kGVHIS8WvCV9(e=llpML8~@{l{rW7-(Ys%3J3Fyefad2?GDz+tcf)k= zlj^PeLhJ*1pYdCGobIhJW>RFV3CXBJV-Xj4gB+;`3h2SuTgcD-SZ}I@*JMnB<$c&0XI8sA|oT4 z;GWe7i^Yz<;BoT2X-cSY5Z&&Yb#9O!A)F)Yu1w`R97LaneMp5tB)X~_7W#S5<{583 zMA0zjgq+UQd+^Qs#&{oo6FbP<@eKNv5+u3ftNi-ku$SjN@w;Z4M|fP08Zh4|FHQIO zEnSG$i+4sQXipgDF|192(#|zF*7ALm6y3A!4wm=mar7ZlBriFj7Z}`|>y7*vzkU|C zwUA)%hV-VVCWzsX6F`fqM?f!+;=Hz__ywc2f*g3yLq8eY{)bBbZeC!>~ClwhTV4b>kfesooD7v^B%)ou;{1m>u2zuz?^$MG_b z?D-%(Jy7=M<2x2Vr^pdiWziz;FT(#Bjoc67iBvm+4nceMIv)Kz+}rIcBA>!P5A*?e z-w@Of?*|TI;(g72_;l=%c@8_I)qR6&pjT%)&?sIQxS5nkf6$lsACr(3qP(6D&D6_u zyd3=wt$n3z^o1D2_^k^)3d5!r{4vnqs-Ht2S?azMa*f$60&D<(CEuGj1QXXI!uzFA z5TBzqM{2&kv%C0BvPOhUU&Zqb=1S;Cj+m3K`w84vwlVm;$RKPVvY-3odxJdO+I2R> zTj6mjiSm1wj2_VER&3t5Y4Cg@5&c>o)8_vIe)5or<1N8u6%R4`$l?!0epkM)(f0Hf z9`a|8#^{`OoeS|A-9I#pq=xJqMlad_vna<1W=QVfTv?O) zpK#yjyg&^+FMmD52k4N$%oCb}YxD;+K)V;Ak0S?6Z{g)v4@;tPc-+eT603c>E}4Xs zF$TB=#@8~CucjXQir_?W5a!$7Gz4p$SaTR5t$k!8d1xMO9yplx?W|A#LO%+zp6ZW1 zh;i-7_^#nL5;$m2y5=xk3JgEcCV$N|5z-6(!(PWy8}57hndwU8jmJ;drjp=&=J?Ra zzzuDCIwsK-)T6%cVG%y==S(Xd=6&ivskEsHife!S%6_X(XsX_i&)KS{uXD2av}PYc zp8v^@h+y27UXpKL^v;;8yDeNfFt^e3kON5x^^AFd*T*@FkyVMQqPtS9x)=Z3l}d8H z6Feo!c^l|=30U}!!B~`OScUM3bMCbh=3_Fi zt3sMri9?@y1xS?TOX_!XS)zL2^3BS9zIVf5|N6S=X8rEnLaz=wuRSdT^t|F#WJsc_s*m!&+hC5)J%s1}I=AhUA@ioAzl0HE@w)|hD~D)$5-nvN#rarT z3hZuA%*Pm)nRlnSr*a6-3tw<+TL^SLYbVd%{Epc9^yfKJR6IiOcV!@?6L?J z<6brno+R<0tPIIbes>amCDgdujd^JBcf0&NoF6%Wjr;yq%;mlcg)a&5%U#Ij<8xi_ z?=3!Z-k<1_M8^5I_g%n=Az15qm43BRIQQnL7j zyP+TEIy-US!S8dVXVq>b@^Le6Y+aTUPVIT|?-rt-fU@AnbMRucm%ayIRwa&^)!AdE zmOR*~;6~ynTpO?cfF0PEuwJ3`9YfCdjpFtD@-|R@KT8g=l0O3jDp|?If`Z~n{{84rH2Q1j-?;DdJ$4N8Fxnq_ zV8FWaa?&ve;mb}MV^VI>Kj2+3ckfvUah+*+?dH^9#DC}`cfbaxDtN8zC(m-xJTvld zosWGJun~MCw947xpl3sp)9)I3J>ZCPdX}v;S9of=9|}F()GOu zt{LYKz5g%~#|JXeBe;n*eX}gHoVQOGrIPeh@A;_L6@4+@mnGu9FZ&++{tAB|e1497 z{@UG7e8ZLSoH1vyRSi2mZ)^f@oNLJ7!45gXq?cTSH6jO)6A+Jd5%L@iB-|82iv&1e zqd!;N_l4K$R!zQ}50UQ_FR{BDaSZ?w*5sC^o>;#zDY_e#%XTPh9qe=)VY$dt!O?w?9Ge)6ItxTVywd-Z8}2nt*)^^FBTXQxhy6B5>blAJ`9NqlkMdUmZao znK@V2!-+9cFC2&I-U_}&jwROL7DXJtcSo&6Vj|e@mllnIjhq|1Ab-={yr^Fq`jx_~ zPrhlCLi}R?MziK-o`tH{4}IhvoVRcP-gw8~zkToubKmKmJv~Ih>VhxM?~G;n;6jX* zNkp*Zi;p)q*T~>O)9@HVYPi zkY7%=WQOIyfbXcpJ3* z5b_~BPrMEv3;(tCOjB<9SokYBANT=tH6HVqx05{dqdUn|4Y8wP=+6tMBqqmb%~+q^ z@DQ}^0OUdTiTklw2c}I504f{PaLZ%rkDG?(6HCqW<$=gT?o- z0?&{1!%jx3H+-18@?yY)<(}nxX^|vMAUTrQh=kq|Z-iac^dijplH(5{da! zf8N48OkUjC24go}qs_$n%EY;$>PN&}S2*MKz=vTkQaS7=I0r`ddY^nThL+xW=~H!r zi+W6vv@0ia^-c)pd<#eY=-BL&s*)hsWkK7hQO!FdGsmZUF1BwI}o`(u0MtJE;J?uwS-d6 zQMhz#V$ersF2VWUbl!RExD(|Dsb_YghjP%qb)uE%dpoy8ADK12Z9NG(w{oZEXArL! zkN=&n@7-nvMt>G+?l4h*)NpQs4|4!<#=%32eFisDwaz$b!Y$cE8F(6s?gw8iCGUw`=m18j9*W*Wv&P6BU z{LKrh(jmH6E^VWIf?8h07{&?nt15S7f|c@Tqbc{yReT-Bw0Q0N;`}6eoY9X-HG+_V3H{EhSzJEFgjb7&9vEQIIPF@kO%23U7ortTGS9}>^GDTqpx za%%oG9dmFVgo3ZaI-6$jSTR<{rS^S;>CS(RbD&thKY5#^Z}Abl@rDi{n=T6x9_`Sg zW|}jvSzb71bzhDw6(u!{D=Ipyy;8 z0+ytE+Vn*I`?`Vqs%SH>8;`JX`wI6u{OvBkzcZA0d{yR~0QJEARAk7xus8bc>{AG} zr&*|Njw~9Z9`Ug*%Hi!9CjR5kMi|*H;>K2DyGt4am2^8P36E1BzR3ucbuh+E5^Hk5fH}PLz^~GT%I`~c=1RTwb7RNAmMi6N<^85#8)u}bsUhgjl z(lf-9;+T)~EnoZ}78t^v-fE&U@QhumfIc#R-y)Gu#@x2>M5^YF_hZfnk^8aMNd%gn z=}-{%`v6c4o@%9N4B)DigujA44PW^wr#S`lFy$ zp}&O|EyVvIUptr^`n5u+I`3gi+7QR_>;F{Dw?v*FkMSCN+?RyE`_xtYQPz0c{T((c zV-ti=IPl_KgMA-CmE+Zyemqd}B-;lnPibW~_EtPVKt7pk*xxQPYfimW1o7DEFFY@d zyP4TBL452B%;+QIKzm}WMSCsqr?SSNI`S~$VaS8eVpK@2W_Vu24~IQ9PfyR}_)x#eNV;a>KlGpj!K~zKlV!+as8rscNb#J@o?|~8BZElVJI)a6c{d;);fYv3dlMHef z=F9xqK4e>xxIXsJUid7)C0JTe%n$oB+h8uszB$ODa*g#`sB*fy1yFMta17#sAhRkRJV^6DDE`%>}18;i+sxe$2Mw%I-aH zrV`^_+MV1}b1|ik^g;wp4mQ9m6cV6RSAK$c8Vr}-Al6F)PzO{%+ z$;5Fr%M0AQL|Gh(w%E5B zAF8}G>?>ui&-^j;KK?=;oINXc^TD0rgYuyu>TBAz@8Lz{sChyA1bs2YZ8u{t#(1Be zUG5vQC%x`Ktlg;v&jEWe67ii~F%e*=YW<1p0zPedCj4H5B?<2Gl#p#d+pbx z1me$BB>c#{7D%jcM{_p)Q*{4)BUt9cAybR<{OIp5;Q7-kcb!`u443)djn66CSNJWR z#{U4|6!!UCvuV_xh+`&OS4WB8{#c%k%%=;A5((B$_covKec`#;;l`+)uY>5O0tBHXTk} zn<^V!V7ScP->^3F{2aGD)+3Il^#{mmp;`6^f5DeDiT8{D_$Y@Z34H^IQ@bp}cY=G^ zN3F_P{y)AY=IZkMdoh(dPewrRJ3GyvoJiLHzD`!U`2+Zth>7&wAFqFoFFX+YmY{il*BFLz zZIul0`58#+8>IWftyW6m!D@z;B=4~xlxBY0?bd~7X6*xBiJ(cGXG0&EJ%hhJ1V1AY z!A$u0*mJc8oOB0X>^Me~tX)225^xmwK|e5tbIt0x12L{+68Onj-;LV+1Li;6V?rNU z=4-g`%Y7!Wyz(;pq!;gFT$GzT2m4BhA`99NrBA4Z235&5_*yg}8GU44O#K~9{HLv7 zpF%ZQ_)rPwEbe=rb63wY_{lTAPj_BfYZze~+G^RIbi(c9`f~7-v1Oe-WFS!@_gOAR z={fZj_WR5qt~ylbbQQ;HFRUQj;Jr-gz1ZV2xEuF<=I`eo3{YN9Y52w16TZ}w!n-iR z#9nfHXZxAyEP6Nbm|qB%HxZn2_MYRuzkMv5Xz~os0ZhX4!ugP6zoWO#xsZ;dbWdMt zH2uYUnsYwtON3WVa#8RC{D^u{zY`fGJhn>3obVOi!d=SxGf8R`2N#gT#k@`!IYKTyTkY60XLn1@LiMJK5EK z>M7s<&G(SEx3zQ4GMjOT4W#3Vf<`Z}2Xlg}>*Bd^r15O%Dvl4p}QyCR{h`y?kyWxo7&p2gLcB zEbzzpU{Sw0vHso5QeNi}Ug`RC#XPz2=O>|`%?Zkt3LHwn0K=S`XUP1sQHu6X&Ii*e ztkHVSM*b4Gm$OeIg>SoMlRMR90sWD1+KKp#ZOLJp_lA!z5s&Ll*65y#&Jt8Xahe7IS9jvtqVO7GB_0_Z;+FV3_oGJ12) zw}dApv-h~Az2vxlD1-AH-s)dbXhsBS-e7 zpKmeW+Xq*%CyQC=3;ibQNl`u~(V9)f~;$Gy>-umx3DTz*UA@XhwD2Z;l2L<`lwGkZV;g+oSl8ngPt~F5QUTQjDp5zQAG}V z@Ao9u5V@X0E*e3a2BzV}YwaWOzwAd{?Cfci-ov_qcY(R}yVYg_H8I7{F^yogtrz~4 zul_udhZ&CldJk5@3jq(NfxhGXK0iKOhVP5?>N|py!-cJ-sU(>BceeUHotjMid)4`s zMfrDl-*EmfFw8;^t|9@l9y}%H)(#FKek~ zkb1L5MoI7PGx%e;4o>(Aym98tzPM|q(E@_LVcf_2_0BA_csHu-3)MYS*8tka--&5O zMgU&ZSHK&GjkxW_413``KB{P@KYMm*Hsu!=Vr}Tl=7VTr8UnOs-~;1(D0ph}-TpB~ z`%giB((}IdI)l11=pQ`@#QLkxmwRuyfg$gmr^Q~Z7IDP&xj9z6Ul8-T_*bgV|L(wF z$$dA!BsoVfNrD#)_acYY*tcVSvct76S zjaXM;JU|X64U@or;JM)Q{@gp?Xp?m*_Br@taxZ@vD04r@Dd2J(Et_@5)=Eoo{GEsU z3!e%bgQp}O;IR=j6kF8xTQK*+-rsjpf_V7)Z406g*iPGR!hGx=%)GbI-$&}E=jKde znterw2L`uQj;?kfwoVQkZPFgXAHKwOjgb%FZQ=cU)#l0>$cIlH3(mx9@Kte7xvmQx zoLc&o;|~eqJ$P1kD8WL9AZo6`EyS`A{%14>U9t{A762I$evTFn*zqb=SGX z+Hm=~bSg}twm3kP1aI7vp@-Rx_JaP}@S44oBX9$PhErv$2xN5wg_Mh1&&Ky81co)2A1t&u0e0Wccu7gAa zI2*WqUF|V5L-YRk!j$u!=&gD7O-ba>#je_M#CqHLS@6APSTG7MG~QvX*v{2a`LxJg zvBttFqc@3;CL5k}20SnJpeXirJ37fcw`94nP6v!u+<@?i{ROz)Z$G&np0x$myPErm8=Bs?H9J0nr?IC*HS|g1> zseG{A-A}m2)`h9`U=R+t-@q@%=bfd=^80=C2{@4=B)lzN;ZIBPy@9{0^9S&<`+VDr4uS<@Da__dA2#3w9b&yZSQ`cgDgZ`R(g8zkkdX1>O zp6C7to*s{*qg|8}0$u>>e2Ay*Kwj)OI}jg`=jWcl;3@D`@Ikf+ zela{Q|E$CF!u-8c;RJfb-Hv63Nsn(FcqY=j!~LFP^3YD{_isZKf%<~vw2k&ZJ|z-+ za;6s+=kc4}Fy^d@ZBlQKnfUs-@p&laV7gU$S^$Y3Y-*7qobZ+K2XjyW`%3XDb~Mvr z=Kmo-#&N2K;KRtVa#9#gWp1o*p7HNI_x_F{@L8|`1o!;_4D3Q`jM7}wIru9rNZfDt zA&xmsN6#ngneTzR9s%mH-k07iqJ>ijokUE{>VMz@p`fs zybBq~KQd18^E17RP7BW*wK5$iEm#?#@TP+j>YAz#JKp0 z19FWG7~q%v6&@LmFEkiTIJDpBVB4R3Ip_nv_ZFIF!+41_!s0*xoGx2lvocw>~Mg3&kKr- zp3w8=FYzSkb8d|*S5~-kpS{sjjm5T#1OaF zeqIRw3-1p~kD`s-cfy|6odG?YeaM-G!gyZ9`vwlJjIUO~FUIqoKhcZi^GAZW`m8Wd z?lm71-!*Z<;coH-oeb3hRb|1NW1!YIwGQ@|_4#1dVX)4@2lv-p(^VUtcQLrANWChk+HYrzvfB1 zLkU~n_Ksi7!ckiOcZ6`~Jm7H^ZqTg+_17W~!@l27XDm8@gf9t@!+GsaKm7=l{!*yx#v!(|ylXXZ?F@l%TzS?DqxF z{acPvmM?b5TZ)fhQ?PK`x**TbF`~j>Bel;EhWQu|+HoF}eD_V{Gx^+weWmP|vES#O z?pKva?|azqA9=w*8yn5tAQ!=0w>3x5rxkI*4PzO5qLJGc|IW%#y1F~)-9Z=dE~MyF zWJrFxx+jS~Db}7sxgYj?jQTa&yC^@aJM!`zw4*Tki*xu-a}DXaw1`pfV>dtg2j{t+ z7c-P^;b;>6+iUDAC0BvGC12mZd*DxUKg796{Idtch--Vlbn#Z7S!xmuT#7CO=E=Ml z963Bw{OF0J3XT4~F~A<>D1JmIHw$sS#5}gQ&JC}I5vE|B=7OgrUP5~(+JZS^v({O} zYo&;{9<&dA=NCi3yMS){$v^4zNqXW1hKU28>rHwNX%Hv-pqk(vG-n{xJ#fQ0KXT27 zys@t@*&BT}yA2y3MOvhXadNtq{I~~>{R?n0?;OA%V=r2*gjC&2-L<8TjF*p377v-t zC3sUUKY=KpYc%FO6z1YGFWeeV?r68RA>?_Hukn0eLVcy}yr?t>;BbEteg*O@`8;Sxo;r#&~DIF z2g!ps8)70W3t#VnKZe-#nlmB#e*f4^`*+AE^Rd3JZ8|9i#+evfaiw+w$ygfC%RF3D zSD-Hjdeg3qrYTgOy+o^msXT&;0|%y1XC7Q1M<1CNW^wL>^xBw;n3t^NVhi?_a_>PO z8L6{#-A5JYEvu5AqX$Qka5PrfXijcMqU0jpU><53!8hI;hG@m7A#cmak3*rFlL41i zeAu0e4Dr!)^CVtNuIP;WKE}$!-;JR;9N@(BBE9)8cuv^Ajpv4a^Vc);jCCCJZxW+9 zmYLu@C5LIw zOrqL2o?6S``|@B`!KHqg%0oF=XfQ`_Tu0nr@N?SN4)a{b?hM8A!Xm^IVFW6p?TnEg zoFf=UeqI3^`0OnCY+cf3F=ic=Ns`XsBQ&c5|91SN4|_4+lrLp z-a$z#b>xHLQ0!k8KPc^q_o{GCG9su4e6auE9{(fz)X=AQU_t5jAl*~oo+an6%Te+k z-hke+)CW%8H+T)!dy|9CHQ>n-&faTZ?S&PD&~>EfX4h!0x%?01WbRW7_x+tGY|pLx zy790)5Lk{)@jEslC|=?#k=f z9!~3CAh`K5g(?7)m$DoCmu?`};l9s2g`Um9Q{pj|73VVsMx3)DsXfAH!Bk+!vu67A zKW_GC8{(xE3jGt=>wz~e z9D%$rg68j2+l3zD+iO$BNj*iqvIyzROS#C8Aq^1Rcx;B|HNG0IKBVUl4M+AO|6(G1 zh5WZ+KE}PQeVJx@&~!v<#ZRfkb)~=F_~<<=CW&ymIzDzhd_gz>R@h>t^&Hd1eV?!Q zVP4>k14o#QdGbI8*N(KKf}t41u1F@1<3&HRP_3~noXXK0(i)4Lf7@eUDPD5qN4WlY zaG(v{;@IJ8FLD-OOEvWn{bAL7D)#%>0_=EjD4tm3Jf~$MCGh+B%^ia|$Qy#=>F^Cq zXk5W_?GEDlT&wUGUx(w~kJxGWvQXh!B_anRKA_VP$`iYcJPf}dPABL&?NyL)r1A}s{kRg zjWHN=Uf+rD%N>B%pM(-p0k;RP!kmh|o!}|ScW9!g`cIperEKtn`m`}qTNV{0yO12e z28Su%7CEg<5#8q+Wq3go7^6PZxqi}Li$k7&D=-&-Up3JL7JR`2u?w;1RLlY8_a8YN z@uU5oL94M&+x#ECS1j6|qYH!HHae<5V7P_Q z8kwD+*PD2JY_5g-3kyRpfj`EanGsGhms>X`i+D`4XA<(3EQs5mp*d5J;l=yCLc<+# z;0d`hPs{R5O_@Q_& zx>iA+pZ6d4&HCQ!1l~CK-D9?!iE+Jy9>I&t`K3((`kyN*GJa(r4}3zru6%g{{4wNM z&R}2Jf`t%$U5MkopZkXCd@DGNPD^kz*SN$0F!U>5`9SdF>!)5MJO?~i`mTXVeeF|x zbpMXt596R}Rtg}Fla8K}q4SVSVako^1OE#ITs^_VlitntILVp(d^?kx3810Sc)~cf z3h*G|@u;~F^JHlFhJ4e9a@*rg-+hqsHE`e0yiT6b6UUz|C3 z^#Xhq3CiUwudiLa@;P1x3THPV%__dsn9mmVnodWK5b?uacW|#|KivKZs>gioLz(n7 ze~8iF5+2XtAn7kHfWJd(uxF!a8tyd>kn3X{+1A7N4A@sLy-#tF{Yk8ciGnzglI=^W zo-oy{387V-w>{BJy?i&y=^W%K@~M&&cBUU#U{o?e^NH{!33sz&t}zfo!oM*m5r1h` zu=;6`LlmAi`pDuL4{_J|+HCOpaBP})BSp{qD=~jNj5ktBl;&E>kj?{oMHO=tZIs^= ziT4bicLO{aKY2iI7@=7j*A?5Vr$no>FUQ{2~tFM<;m3={%5mxPW>~ST~3hO)=6Hk4c zeDX8KB7ct_dF=kXhUvw^#x^D5>B3DE0rv)qzq$r`Vr_9u+mvh3oX#NZE0Kq&iub78 z&%+{w+iJ5alM3Ive$Mg5`H1r`i-KqXzvuBi7Y)xI@bA#BC<;PuTnhRR49QJ|fX@#= z(O&S!Fs*MoI@eeIAn3nIp6*ezV$XOvnu4I)dGwLlC-;1`GqL{8`F*_R%&`yQb=0y( zIR>V>$)#T4dEq~2crcv>M(bCc&+0G;brbr?jG-RjuKUip;nbFe8JLgpx_dcz7qXu~ zf4?K9s#D4njpB8#UzB)n_9G7?^V+yX-3Kj#ABnwC8P^TzEle;I(!tqH_J+!S!5w{M zduZx&YZV!nux3r@>`831{G-1;&FA^>$uZ=@1IN-X#Cp*ph<3;s|yll(-)U1#8E7!;(UbB6>(?fe=-7^UAV&|3F=yx-($MVn+k7rkt_5}-LiG48b z`=T$G>elNWJjb*6fN4*VD(Q4<%|S-32)%xgQ~>i zk^iCp(u4(m$6X2a;qD9YyrAW={n8TfT!h?y*N_~_f8gsJ{(y&>qf72kUYp&n2+^EjQod}z9co4t0Bs(E!~`0%Vhei9DUDV zTjcqf6Y}#f&a{Pltu+#eG4#pyL-k&9B-f~mSfB5|$@+7j5KO2+?&|{{narO~N2;G@ zhC4~mV^{Hg|1bDqdqOk{KEKofM@MN7xe;l83VE2vQ@HtRqrK;~iINA%+=e^{Vw_ce z$u@ZJId-L)I0iQC26Eiv0fvtapl>*!R0rS;7OYs2hnb3C?lXJk&)VX?18$IQV;5qI zUmLG5!W3jkQ8?zda-hyJ*!MBJN(?RJ0z@S8Fc8|DK9@o1e1JnPg7f(E7y3wldNTI= z;^C?tpy%)T;3xB*2KRLFyu@Rkj6q4)bxG=9{ySEEJ1sLc$MQp=;lp!be@Edq{M#OR zCia0_dy`!-64IC_a~`YuA`jVrJZ$HrzGckEgbV!YMqADKNytzJDe z>hOg)-lVxH+c;va{iRql{jVXWS5H&bkNp?=FVMM`iPCvQ8glq+{QGt|kG;9@L@`h1 zzurpi{fPVBTPLS#j;gX9^{yUl{|0$}o-3#RW}$RwTwC6~ZLlZ6b0vCb43hpYoEQrn ze*pa#j)Qc<`;WzRE4_$gx=X*SCi~O_$V+y+^%F?LuG%Z!7!MX5c(&!Re__sR<$H$o zTiV2H53d1y6j)PUG{N(VT0{4~=<6_8Yf-4?-0qs`5C^t@jgUQ1CieDYu%_O(KY`}5 zj{-cU2Dqqwxdk5qUld#2NL{NxamUkG+cmShrh(>{SNCFUGy-Rk-iVe7$;cpJg5P zFW9>_h)$u7JjVu~Uvj?N-RaF&xS?DGA9NRrK)CP!*93#4-_tdRvN($V{WE*+j zC)yu*e%4OyLVis2YquX7oYRZiVp1Pzt2mio1Wz*4_E#=WNtk;H2c)Jiv7VsUj3i>O z#>Ab-v4A3U=a^Og_m^9wDUUnakNQBXPzL>d_9=&Swxi$9LCkP4S-!td?-hG$cjg$l zO(*v_gmVt}3~CRin>@cjUqpPYW*gm;A4Wd;Are(Hs}ZJB0Uh63sWTUQs<;vBSGU|o zzj83XfI*3xiz=6Ic=%(35EUh5hzv5hug6N;vSNdSA z81w~v7=Y$xU_Z>QmS#no=ZbaeC;Rn-$R#js`g)aUDuD%1_uZK!SgkYnjAu?LYCdxy z;XxlT$$WMm&Kojs!hK9Qgy6wS4tZdC;xT5>kLk1uZIfzkT{Oos0)HNUb1NYabF~hi z{PGMr|FuLunGe8MgGsn;qu~)6YTLo67)AA>OO4x-@2_+&WRR9QxiUj zwbK56N%ZoC7xwok^%jirA*A~-yiFlY%L=Og=dU?a^tR+4eEw-V!|pD}-fnO-qB_NO!g zWpLlYF21tAYw$}Fow2>lRq3e*W3zP)WQR=4$T3-M=ihr?j?9oggeOD>=`RKR_O30?$y&5~&FE|5Y# zR&F+)Ps_1$D=)gL-*7>^`Vm$n6zBi$8lzG7iTXEAdY`j?FXoT+ffs;VYib&6*s8=QvGoChK{;e=sp^;Rl@SC0DgPk_0b_KJqc(qwVK~>-h_P zWcHb@or3cN-+LpXh&6E@w%{k%$ArQQeK+B&*yvugd!o!Q`;9ZpdDJUC+u*v~uwlq| zFo$~v_%NK~uNk1quU*ko^NY6j!r9q8eT?RlPCM(lxHkG&jGM0oE-cb;feGMs zaxV5pwC21WanD6x>Gh-xO2N5)f8i(sJfnPCJm$%KKK~{~=g~L)N%A+L86>@N_%PM) z>a9Nq>^Iz?!5Iyn66ZzwzZ*-em$$D~XfVfPAM%#cbFE|{##B(B-W0|l_Z4Bng9zy1 zq519)j^ayvV~^*BK^iF@#PPH$t{LLnwc>m2B_fytgTL!k$3z@QO+JBp6YqPvn5iOu zU>EnK5^LaVpZ1}7SUU&f{=)pW#J>2wgD~jZ;h4`tH1yrWRALSM9`MG$EdPDfh|a0R zT&(Y< z9MA}+iHqQ8&7nBA+)^gR!<{UQjrkWyYaXNmXG4Ll_deohLK=OR17LaZs@ zkG>*n7DqZ~Du=PbeZ#$J*t!>E9OU=%a2J#CM;Bl9)t>005Mr&szUR$o1%50xMdgTN z)qAg}i7$FWJ7?mtLU+vhgrj{Ay*B~<-Zt2OFz$RZ1#$kgJ9tX?zF)@N2sP@*`HLe- zazA)pgy%LbT<^ztUfADxZ&tc|SFa9;(te&jQ5FX(eu^U8#q&yKKpy6M{^u0PcCl>;e>hE=CjM^0ML8lAPgm>?^s5Qr;v!%fC~6q(Ahg zA@-F#zyfc4007M&@Vp4e1s+-caW3iMP5ubp+l+u;B@rU}J+ZQnbb36NIOR2PK%pUi zo*ItgleGhXj4et-`t}wt;a;iIkAIwREB67{ACooTHrhg0CCGQnV6Nn`WDA8e z5b(Efy$Aj;gnnHElGKe7^v66DYy7;_pLx70F}9&*0{nmA=9I~DRqw>l@tWVxNFe31 z<{RSAxg1B^u-=c_5=aF+$M%9>41u7D;2?8eXK`349Rc2A-Wu%b?&8H48X^1Qk>Kzh zZH^mt_XOpTE(uc4(nRF>`J#!u@9DiO2ZiAKa>AYiUiS^@`{Q}xHB!fL6J0qlw0@&! zzQSusKOLf6ib~B%JY?Wq@Vw&R7ilyZc#5jY&cw0*8V}IdVNMawN5E~q{jsfap=E##ahkgZ_EwAd7k{>y9ITtv7n?-EBY`fQk_!{8b34DI$tz$kmSO6vkhBx=rzcVRU9N)E18(&}R z*~cuL?&xc&#JZ(9Pr$i>2hb0GG5(HzKguF`ck(913S3wqmNj_Ya6%XpkR<4d^q&bNio`#?0N+S=$`d4U(P{-h;U zBb+|{+>s~fItir9?XH9^Y02j!;%RdSOlILT#&0P$B6khO6IZa0ryJbc{t~Dj!6+-a z1B*MQt5x?2Q$wZaIpDlm`*@qM&_isf?EXyhW|8O81f4hJ1<7;w_yYRZ(9oa7zK=gU zfyiBmmk9m+b$pQD<)H8Xi6-J}+X-+BS;PFte<8|`LLNr;=nh_Qr%tD9pJi&4dQUo&{&T?V<6~CmV>Z;1=ZENv@inIs?kg8dbCK?*!CWS{ z&DbaK@B6(_^+nGFuaD2E%Zd#7-{Zb7dluyRy>Z-|jeVu;56ZacbLkOA+zS47SQzcV z5n{+b*=q<<3)?!b? zJ?Lj)>SLVYO&#Ey{d6LU8gW6Ub{t{YQ=<>|FLx@l0ieK;xzbWcV!dK^F!;q-Cyqy+ z|3UfL8#6zLDGy}72mOh!k=dmE{hGeT=P_GPVm$Xu%&}z*@)>oc~}fK&ua?l8o)gJc<8% zR!09%_;Kj(bA9sIkZQ{D$^&16LBe^i$|Kr@UKsCNyb_7)rMvdtF#<5Qd+QF4ALm{= z1W9hHI_A*K1Kd8*sy;`YGyKrXNPmeO1M}~mL=gYq?as;6oEQ509Q&P!Jbw)8!Rzg; zGze3x(*HyeFo}{eV;kE|K^1gbX|YGZaz%U4e0Mnz69Sx$qfb&al9gYW0dBX(`|@9vnO^W%6$F( zJmlzZCLF#Jazpu*v&@9o6Fy+Ye&nbCD%+09=|zU*ygfa2jx^VverDk9j4|rn!+C6T zA1uTgBF~Sw;ac2ZDlsRzZ>|y3012Yw(K6>-Rnd>S;yT&IltIk9uXSsb_}n)P^AX-c z{bng-;#@HL$lQ-R9-bk&lP5dyys)S2CvWuv$0tdDr&mmz?BQR8MkE5DNML5~?ApRfIwA?7U2OAPQNq%x?d8RI=s4^v`y53i{qJGw}D0@!DSWW`r{~E7uTA_go7N zpP4vtsV$feXiu z$D@d2!_#ozKOXbjuKi34h?vATdg-;oA%17p* zCc^#d>nokBmhi47(}}o`)OYIHw#hU+V&FKw{-R*Y-386-Gu!<^P#YJlzZF=SKS|V zji=Xq{~m(-1}{d++%-~ne7PKUI8N>>Wx*Tg`@pJp=pp+|F#mqrLZde>cdHf@D)+^) zOE3rIxq@$meqX`emmI5m0#)SKz?>jD2H#g)8obK*j158Fm$!X895RXZX}wP0H)NiY z;h_F@GAZBdy06Zw7Kdoh=}R;9A>A)0yy&`kUiesb63>fxw2$H6gZWBFvELU!?QP>_ z{j_yH_%6#F);XA>8E{<_`OC8SMVW*BK7Vh(8~6TWrcoVv7|A;$&kx(iwyCqz$qG!@ zmw{2rkwE`NxVt`4>bDQKp_1TbUBrAWk>`$y;PbCx0o@IQ=Njpg@xJ7~@u5(9&L5h# z0pyYT2;|fv;Rl}%@zfqcioN#Rr;RDjS2+{wtJmOpk+ps!oXdDG+dt26CeH3A3X@v`IYDDW>8E4Or9&!mFHRFp)mpZr}XSmnqQw8tKOE@W^&{K5}udp zyeI?b<~=7LJ0(#GF1X?Md?AFP_9KgVUf^KfYI(atUTHtsd!6cz=Y{+GrR->ZIj_d= zIwcG5?i2P#a$mcK=OrBnfOHF8<3Hd+xN?Sih0uD$2pha9L2}&b<3*r3++O&wDxn?h z@G{1#_tG)0(&sPLD_;2+=qJi|=i?niuoAz;X|8HdAZ>*Hq9lA4yvMlwA9CIN^TYRr zb0S~izF&of!%-20^u*&td|xCNk37sbj04{qB;48G=UE8&fKtb>|6^S2>xP-cnzGgp z?irxj7Q9cx{so%*zA+~4_r3Ae@7Sdf!rL;l&DYJzmW!Nq%abqbV(zCY55U7&{bo<& ziS-wE?(-G`U=?Z3&-V*4e>R$?1V(&v_)V(CO!J-Y(w(BYt5wCEAaUl zQ<@Y&o&q8%GWgoFcb;c)|IJ=~QkTYv7o+t#XXR7jIgyw!xP5z=WB+fCaRJd=Ct?=SZItRr+;>OoCe7Z~G2Ykzl3iP)=d540+FGo=Pu1uRb&?<04`674o6HFxelg{GXrAvcEocIhFpxd+y3R zd?z0wm_H~<&Odj?gB!*|jb&EdhZm(%CIfS^r%Pr`(|Gj7kfZbcY)czTRKHw513o_N z1Flc85Nq|EvTqrTOZ>3PqPe_MgVi5)HiR~=VX_~5e5lQhobRRHvbNP|GxB_Jxgqnu!DG15 zdmS`qGZQ=|{$7HgEc}hK{nh7!{r+e!-gPTa)wy8y8S^o|s3kcom#%z*=4)(*5>7i< z!Q>f&9lw=KnHZP19~i9rlCCL|*Zp!SQuj;ni%Cuz_kFIJo&s;Y6nNq9FQwBs1`vbK zzw0YBC%uW3lBo=vwGMFVOS3lL*siJI8ZsEJA-K4Xkv7Z6kglucK9 zM*-P1WACxI*WNYu7Q3-`kRmFIJsNw9QO}wg&N=z(yRI*9#La%5`<_{A{TBN9IFGl} zLf`MZqN&2hpyMtx;X9R{%RD0%7oH{?&`-gfy)yWd`9D0*lm0~9{kxFYMkO8-7dh*_ z?xq!0Mx3z5NAO@_tMj|*K*Im%Xi~i-9Q`k-#VcuX)e!E}oiOe5^zoqcbH_rK+Ys*u$ALSnt3Ep6iD|KJg)Nkv_SoO`JrVb0k@I@ZZX29~AH2d&dYxVm%cg~hWga^3MO(mg@r1rFJpu=u$dV008|-Nm3so+; zvWK1b)JdMNpR-bl;|T2c9wNY_TShm?55M+IS8gc$WAV_YjJoF4l?s4zH(R2 zNKUNwh(q7sjfK?dBRSFsxaf-{_4N$*klvUPyAvs`H6|S7U(UjIUuPBcO2`jM>+rnr z9QLXy&njtxw){%4!aV+2N-r{pPoSP%u*aGxzUSZ7EHhzT!N4;eAF|Ki-k(@IJABMM2 zN$9g+>_^f1LPI$JkK%|q2jh}`Xdmh^a^decanWy42p!Lbbv=YB)#U%6GRtq zJCm$j5a>lxe+EB{!N#MBq0(b|E5?H09?rK+iYCs9{F7A9`FxnibtV6-&w}rP&%sUb z+08+b*RP%wxB!41tJji`nen|dRbqg2l$G@4oea+)H(&z0&TvqFTwUzNI1l$Z`iun} zSY$jy4D#vPFzuiG504-|_kJ9lrTe^1WyTqPyuY?5;fCa9YreYvK;^b|2~hqV z=6&%cmDo%F-;;=3>dFiMR?gagu`QK2c9T;th2XM>_41a%ujzha>BQ?cyUG#Dhs!Wi zI2N3nYb0sUbq9C#UO;p!vLE_w!@m%Xe@Hb^4=dTbejoGJG)%}Z3CNMB2R?tz*z!1ecJKP28t({8FIwO!YGRs;<}3Li@5ixX=Iw4#RKBv5R9kAA}E< zfPOK~uMUZ%ZXDbWh$4PG|DAQskp0A-2#VN(Cw=Z;m7gy?qvA1}b_JVQ7mW;4mYVTC_&KB{?V z@L>78PkyC7Mkn-HoI??Nu$AVxMrP3WA}~4-aKpuJ*3ezp&s-0@3+D4IfFFkSnRQ{r z@%1cg56vrKUn~8*57UV2D?Uqdqe%WB8zP6z9{}c;Hn;|-K(FMsgAKeNGz&Ro_nb+rzE1#b0(8{Ny)St3)q>?#VpY0ZzJ)Y6RW| z^wxEc(2vT#l(tUF6aO+*_|*0Ac}joH%$o*thdX0_0p;(jA!EY{^til~4$$$Kf4&r) z7dAj#K#m8t#zdD`YJde-Kp^Bc(c4ijYGbp_~_PY#3f*(fmhR`eLA`bHAw@_jkb&)lClx1MQVMvZW$42^? z9`r;13mYrp=VzB;hgH7HF?rjPDoh*w{->u^>2xRnE_;$RPyVnqNuS7;NZku!-sf7I z$peZFmK9E~jHCWsH1@R*UE?}d%=^PD;7OYuqWQ9j5ZZZv_a7Rqe)DkXFZ|wqoM&)9c=s82e)tOupIrz8O58kk z-}~^DahH33qMWslCDDrdpt$P0*%{P_<;z?LLR-UM2k^YWPLaQ%4S1BY*eNuUkHERO z8v8Ns3IEbVc*2o6shVGazhoKKE`!H_KX&xzS^MFelU(6vo-_k;WQW9Ze=_p>g5!#C z)xPgpvDAcx5bVeJ^Nv51S^nJLHl%O2j~x|5wux+j954F|g1wXvigQYO(^8#u|K7n~ za{9HN=MX^O4R*_Lim|tH7^L|&Ni6VD7QAfwSa!jFRaJD${%acO7-;S)r5b$oBRE6gG920)LjPkt_zFkm zJ#WQ*%%Vr+t(wSJGIsV9`WFxMzFqOSpwD z`9=ilg$J(1^TWd1HGkR?hDl-~`jQx**7vn>iT9P@jY}>&&r0$o{V!&a1rIKp9Ow%M zFTg*>G2{K7;P$aE_EVAZH~VTXh6z{XKg_wp^IDclRdHNc2B*_8)blznc9R~#!^l@k z&jR*xP1puLFO^zs#Z9TiL=x+SUdg_#YWuLS#hT`qo8iPVb)zSllqI}?GDGqNW;^Z6 z?4M1Sv+UC=uk%u$^%Il!(d}@ebNu&AvsYi$x4AT6BaFt-{oC_}6L~SbCF|MeW8UXD z>H0E*?@zao2Nf@f zk4~h*05!~lP%HKA*m*9*v9m$FY>8jHGq&c?r34hSukA=*BE6J`dH-jwOZf_1Q|bA; zX7D}Hx^AR$9U6Gkb_Q<816Bh1bEQXL;)k_Q`Euy|{ZOOZyXd zMNt;tS1pDJckQ!RxPK07y6w(caK1TrGboFga-84ghQYdg5axaEwHvc0UHF%uH%I?3 z^B|l0>Gz;gADepBKp4B7vTo~7%y-uqfZ?Bwk^>2Ps{)???$n~bwh{m z$CdAod}KbEHXxojw)Z>c7x9B$bRDp7Y*G<1S;Eze)}Zpv zJqi)Gjkf&r=i7;2@@NA3#1X6f{E3(H92y6xetX)foR4cS+?i1DE+p^r&`Eo`;Rj_K z#k7hkR6z`5Wd`#BU66B<_s!#Q$q!dfH*3!9^CV)t!g>dHnhN}E>jkm&3VyN|@P~BZ zUM_IFKY$;;$RUY9Apy$DgKlxrC;VhQ7T7Mb)LzPcamqV_A6a#;LgPF>@Q#>+gp-3j zGWW*c3G~yw(X?`Z(>51kO!bB>wzBWDzYQKN@7FJN)SlZ-$Ro3%aTIzOB}jD55WbKz zdXw2m6YMSXvh`f#bdVPe0jD2NTd$#i`77VKGJ5CP7+NiaRsvJH?s=BxUM-{PG#6I< zIE4P<{*TrnF^t5|&-{-C z7TVVk8covUhW*YyDNxEYI3KnNzkj$8CN^K~FMirJeLacCiIZQxHrDbYv=Q=^>{E0= zp9T8>6Elcy50P08BwS(}llI-)ny5OT^DT;vwKZVuT@$7{JDwBMxsk04j-&3}#G(3iw}yYvX+dW8lM&t0qjAq%&AA+Ol78MdW6(1@ z6^&RQlc`FfD}J@NjB{)t?3hmc+swQWF5I9>!?7=c`)=j^L=yabeRuWALLWK}ojqy` zdX8Y|strHPPYgcCUI5p(fPhXO$`Q&;RG&HWFEY2HUyN=3jbkydpf>PSM4`bpt+(Om z<71;b@|6wQsGj3X;`=VEpgBSC#-)b1pe`Y`{l5}__>=hs2E9_w$6=AG+l+}Kv?k&t zyK0Q#pfK)Z6@j~X3jKvSKbv~x(Bq((na+=p3q@}KJb2^m*WIz(Of6CKv?n82^p@`6 zDM?N`D5^Zi=`Foa9TwyBW>DyaPy)Ws`Og|z1or}}D{mNb--)nM|L!1g+;~q~<}Q8E zb+-6YCJ(Z2S`u6rT{eDRP5oPkk|?i7?>mnRTkGd{E|M4%kyQX+5A$<_3k~*_H8~uo zb7dPJLYu|u0DO;xe*r(g_?;&^l06UJ7{+;TbM7O0hVTNZb|_i7G+FTPut3p_^q!Ym zuJ?ynXrDlAwD>Cihv%gW>*hb_8Pb;lKMZ638t(I_LmX%yhF%E~JYE^RmaZ7$tlu;E zExEU{`h*O!2Ntpi_G3L*@U=q@8K(+;XQENJYl2KwWLySb^Ec@GqGQ1ilMGwJ2){AMb(N$CK1;RrOTf9egvA|2m9wi+!Q-t`y69H~Nv8FBp9=T;`@v zXEW93-mlD%{iKH-fyx%VqIotkPOWa5m+W&J95oT_XK9beIng-Wvh2Ir%YN6XLM~0` zImgS1QXYKUZfv(y;&FcXpUK2^V0(7mGFWELubWOVbGLktJ%i*$`n9G%<<|04c7KYdK3x!lv*)`P5Iuy2)(Jv0XqdRWp^{5VI# z(f5jL(^;I0p!{O;FEDuD7y=z<6z5v61=9EYLSExbYk?6M`Mrg5P=Po+7 z{RHG~*q1Q|eSB=Bi;g6=yLb5`N;n&hW3L%wILA{GLH{s#?aW}&^MA))jX8T0iGcp{nvF^7s7r*xac@vglho)nDDOREp)!iidHUhf?4vXRjcP4Wyl?^f?l~j z0tFxi{_1y0_SBvd?334W57Hc*FQ}JrJ7+~)$56bvypQjH4#b$lP4JD?VIxIX%rVRd z3n((0aSm%o7@fp5@yk{o>KB>|za?k|*M3T;FDJmciac^8-YUPl#49JN9aJjH}jXjQjWX?0ZaiiT#lNcH+e!ZqMv&j|X_AqdY@HXw8XPHDM=2L+; z&i!DkrX(ttJ_pYWFJPfp%6yWET&4t$3JuT@I(J{5tvs^|L5hpa2M>}L&AqViWIn=V z7u7kM+bV|w_bTyYFYBm$jWLnB$9WqielUCRE>eGN{xLoo1^I{jd~`h%1oa=Q*rCcn-|Xu=k?_{EPXa6-kXxXf^d~|AT!p z@2A>1XkV076nS%zMU@y5yaD`{{Cn_u87KU9OD`Ydab^ti`@(ZQ6+&$9U470`xj(p% zvCn@G^cM&I05QM(%Ek!hjdLG~2ayv4%eH{8#Kpg{7Q}MKVfd3J?~6Pw*N$(Va>-yl zGi{Gq?|;wyiPzaZH+zz$fIMCs;uqcKOw!wBWi9We>kn|g@cD4WfndYf^f&fmj1}$_ z1V0Sy5BMaE5dMCag~|Ch!No&*G#qxM3jg_LOuF(7pjR@_$q2$eneTA}JXLSopGpZ_ z-1gK&M<7RsuXUyLs(5ppkEK-{dbF`!@8&QhN2=G%t&n~&HL)0Fe0F@N%Vx7bVj z9qa>$Yr*`lI#Ds=-KSUB6Sg9)|3rTO1LwC6p*I;hLC-0v#P*FH?~=>=ps^pj|9bjg zN$JXKEe#i+$ix)0_G*CF$7}Pm=u6_CZzArC+&|?44pKYRlv~3uEIEJli6dp1@qL_! z`Y_NhCfx0HmdbtH5+}T%uUEql^9`R2g$85AzQY`3;vewGAkBmH@>BlQObf!c>a@)P z7vg%WRnRM0hW0;K-cOd-QTYYXEf@n;*DG55#&0aH8@*9uaK(t!y;BcwntkukwR#i5 zk$vd+;O8-V&b->;FS(gB|C!708Nt%;*W>Rj;<{bu(kS&Swj3gUj{I84LGwcBHr~(R zeq9`%CI0)M#8N~3@iufA`+{$epht%TAU}EN_v}|c5`T_UE0X)WxtjDryH`yXeqg&O z2leZ=j-qi`$S?aMM!7gOiloQJsz$u}V3Od6fnBj0dg`pX_z!)2h=conEWAfK zes!vAg3e!Waev@N#-HeWi7%-Ad^php&I9I!601~>*DTckc|V#2b1@J3Fsy$U&B!yj z|Mbyea1EHZ{~r1a@0IgC=^+=!Onhy~yuKMcJ1%g`x1vj2b8$DLoC65`1#z2Y9l(>| zi!C^0Lj{0TWPEJZs&B76?2~y>+!Fde^xdCvZd_x(M=kX6LAGhP)Qu1y-s(I!UN}0v zyD5L{!V5;aK@l8@l ze*Ugy26NTDHl~vc8%yz=N*&ZJvp#p=^$DKB1^HUO&~C%?!oHoqv*|YM;QnuOgvb66 zxn;-~yAl_A&^qS6;5n0Cza^HmAGx-N@O6kk=r7Foa^Wa67Pi0}67TK57zFJWr2Rg# z{HO^Bg!Wko|9J%X{IZwNvz6z(;~DTYF($pZ*-`yz`y$nM&0sk9@*|QXw9QhT)3(&O^2zbc>}2%uL8rUW2RRPTOJRON3i-pnoxaiod*fA0 zV!p?JXR9i={f{JlF88&j`M_XQKOafv9tYCDE{;}y=Y%5TCDsLh9gm|4ccAz*^-+HV z_~XI_`aOh-tl+>#U($U(@NggF_(C7}$JjkT5P3lHOF>_SYiaq721JM1#}*Z;x*z?EtHA#>1NxtEzL4Md z0APDdyLf8KJyDghALBkD?5T=)@AjvOxQ61pB=D5*RM<~|ABJ-W7sIJ4`_M0BYQLd7 z_E^|{JNVcsukgEU<@aKKvE#kVX%jK#@MD@2Nq@S5c^|$z%fE9dlwXVvPK1<<`^jHY ziSI$jb|?Qo-bK!`+xfdOzi_OiY<{@rZ+nQX6jRqfP5FGgJENKtq;R^%fXcl7TmYDD5{xai=0X)Nv z(2>yF;m1ro6{vG9^nJ!pK7n4zn51?+TnKTR{I5#u3Lml!a$kdakBj+5&R1|P*hkuH zc9izSbSp8c^eMe^?P7%boDU6FpOgpo1n}XGe}+8;e4-~}{HZ4Qt{pIop7bs|SoG%J z=nnxMw@JV-{P*~u`fpO!Zsw))@%Gs$|8$ql0+Au&{-BUpV~WcHDwJqWYs~88aTF*AK-yDhSbjQvM6i!v2PxzjJ`s0gvUvdO^UU=*MbraIQ zfrL;hto^*}dCdEaiSY;qF92Nr`ypofM!*4ihV-`1HxtWS!%kt&e9dGz8 z+0T*TEWF_tJHZ=AjLskPzVP?Qmiv=yARo{9%f=@1mZFLxV>YnCzsw8M9>vPw^JAab zEIU;=y9=Q2gI0B_e~z2(alq%#e+06ujVE=%>%@Cfs_K%M_d9X_Qi`kco@c~T6<$;B z4<{=QkX+0p>6diBZ3vGN`AU{&Oh097-|bj0$^%B@>nq?qZ82MytaYMSoNINlSFY9@ z_@#h@G8;~G8#PeB^hG|0_dD=gHaNh}>oTMIS%5m5!yn36_(j+=z^-(tw^?&idlP9# z00P6vR~|s|$wct^87tltzDd4kEXRJ9$VA%4Sko^p<@-3& zKaRK+y%p|}jigYlz+nIE#A(?yp;P-Q|2+&Oi6hPN)n2)l(9<}+6z@XKSr~dym-sas zfOFyw`>>~U)Ojl+Qt}0bo1@C_m)8v8xm}1LssB1Rm_~S1-IG2zM>y7d(c3C(=Olk> z#)ZeYcU0hirUc99=ew)Ck2)-h=HCVA^pdx{C+b5dlAHqO{iWdjxHg2}66@eAw{94q zK|OJsi9SBqS_3oFwZ{hU&utA`d~@WXFU@CvW{Xz3-)&rtrVL1EIve@@In3$(w>62a z3_YAf+QLxsA)5GW<#X<;!90O6MRDqPbMg_6Tm7HV&&LNa{K?X9@qjqZVM7oE>`6&GZIKLS~xOZB#`b}~Fz75-Y-3s}_({8+@ zJm-M<1#L+?dQJDFWe*+&#ngRm2p4RhGa-G@Blnq=?pZHqP;353iv!p*C{q1415|`y94_ z8_RQ8nTcL;LFOV?>G7BZy;AtgnD_a9^W&{d>W5lD2g}A7`d$OTw*;OJhRibK8#exe z*LO7+6Aqr!OW^tBnc#+eA)_(5Wgmj2a8eTs~ysMqRoAe$^Xn9wSSIPY=clP}Fc zdO9M~Lht+gT=acA)Rv}=yj^q5&K%vh{@GEuW^wZ)Rd;S4t$DA8*Oa4EIg)0bM*y~k zxA4w8m~+JMa4{%H^G8elNqle*%*6G3t&70tXHez!ED{6K-YDhG*BC-6LiWKOPc%he5@Wun9|tc4 z`;k3ACeRpwhyq_GOP(raQ>gB#yh;2KgZ78&-e8plK}A?_;6$|En&iJZj=U?fh1KgRP&gVo6IqYt7H?lC7n)aai1j~9K-`fker zov$#zNZxL(J%K7TvH|64@AWMwVtd5&RjD+z%`K-t>ZZ_$>l}Q$CFje73F#z#f8Yf2 zpR*_n`5_M|IM7wt#;~A`yY%3`m>w&8cB?|%2bs(HC`bE@Iwuitrzef}pq1Q5ay?Ob zYtSoG*dMd1(*u`N1V==<7#~@LF!U2>Z@U6T4r| zchPfTg01KihwtW4AGFg)Jnl%hxNzopq<$|)M$^B*@@%Sf&3MqG&8Nng_l1uT;7zZu z92|IZF>;`|{~lTdUkvxc9m74N-5>AXR?pOao!TMN1NQb~mgYd-MG0Tcx62Um!(}wh zArtCAVjhPQ*Wm3>$Rf}|U{om;&Q0x0Hrk5^y%H%PyWoDv+p>V*7Mep=pFvN=?JGJQz*+Sr##e?YPY;TBMsmKrTw)9uh-HviEZ zpX?QbdoQ~}?}y3a;XUZO+$&w|?@5=iUg!q?nE1^4!oSP>*I8CNw?t>qRm9i2z(0oR zySFpu7g@Jg1*e}Ek?>otW*s*pO!6()9=Pi~04_57J)9S(X`Xtdo6K$(YW9S6+kxb{*@P{_ z&=w8@mH*)#p#GQ7oh6sG@1;G#6?L{NczvQ1H*?naWJ?!v9(XzAfuz z4_azo41KTCqq{Pxyg#C~`U{Y+Ol0Fh8F-TtbSg6B9*Vq}=tzx_f3ZH0*B?3E%bc$p z7efC4|Ct!)s5!7nfwTz6%%JD!6-FOTKIT(i8$U~dKa>M7^-29f@LLLJw!ek?Eq=s4 z8GhB(gUmGkEDP6p2K%wMOfjpEd#^ve#WHvb{QNV;81~vY!k~*0&SZK!c24baR+{UM z%bc$Qyg zOa=G2@h9}2LXVtnhkFd`!9HHf9mju1^p`PCbf_^V)F$Bg_YB;24*7b7!Jo~kt8+Ok>|Gj z;`f;;m|u|F*oXJ_dDM7K{X3BuFIxXI^dlqIUCBRDd!Vf>wMXvfIN=m*MJ|&$lf|nF zw8swqe(9~h7)V^75IWdb?<;pJ=+6ValAn8vTXjkP{-zxLo{aBE@m#0?eczcuW51z~ zTL3ZF4SDUMXJBeJ0=cUPlMQ6nI9K#6p*FepW#lCHgZMcVIopGdO-^kx%bvPXSTOxP zb^gsU;3xM^0?-$E6yd|I_ZALG8gtWlK7`*Ft&DcV;OFNWA-g&_U+~&%fafL26C2cC z|=JUOCpxTJM3t!eETCfC%IP@^S<=yy(uyp0r!1w zXB_q83ml#oxxd4oEWPVfLbP8v7W2zZ`0}O&lK6(-LZ4w@3!WG5(Qchwz7K0i%8`jc zexJ`J_>H9BrE4^O$-$!`;Em&YwRqiSL-_AigJ9ID}=L%E8V!tubl2|V2L?1TRD+R$}dcXXL`#lyv z-tf7sM9e1ZS{ecSYVV)zMm~@`mte0U{UOlzIWL?(wtPPZKMcp8N|CSRdG8zCcgi@Y zJ~CYHM=2XJiG7J)dNAR(c4&!uOo@m9Ql_!jtKY=S9u|_#Bwu9r|7@Dfz8$whgX?@Q&H{gY69AhPgQy|zA7Xsv=dST9^h(sZ4ToMSz2Fb)64pK? z?^D3%=boPh9jT0S0g;g;oF4d-WvpylVu*gc2z?;fZyW}1oclCydFBxJVDJAdhkj=R zEB0f;afctKConwEupi@otrOdj&*T0jFXRJ&dANAWn~LzBX|N_+e0!F;p;Q?@qBixj zh~>+?d8J1G2mT)xXWM8VIzF8yauLCQ?j$_u`{-%?6-H-=R+>L(Q;lw*Zfwo@B+W&B zXs!J^Pa}!_$a(Nvrb_{0u^~Q_3vucn{MASJi1(oH3&&+kh;kuUIchHw=KbTf;4G?_ zKvR)39(TFCPZoR*rhg@OA>kJGoE=Kow!;W%L5!__k{&JGiKEf*k4dj(o*{gtU1k!F z#|MAi_raemee0&zhCEkSok@D>E?bd18_iE=&=am*KIuT9eq9^-m5GpMwEwo}|M$ai z@7asoFy(|c@gU(6!FPQ4VEhvkI3c*)bxBx=9tbX~MUIqt-&^5NmiNS(RPB8(GKnv> z{ajb=OW%R-BmY6j@AGrgqac%5P7M1RT)n;^I`pt3P*N{U?UqfR{C~{!qE*bnyaUcZ z_ds0%uaA9>L+wd0_f>O=Ut2q-I}yKD@28~d`wsV8?j3wPw#<+|Vgo!_ek}hAS8j%{ zS$hsk5=qvNAKa)t2L{4og%8#p^ZxSN`Ho|d7n_RoQU>N6P_3UkL$~EV-Iq%el@C2y z`;iBy#i`yf20kp_pA{AxQLx#(JeW;OyCZS)Ly+>kOMMB{j*gwaML#?T=})>SZ#dAF zuvKnUxCMMb1`HqVsCw#xNY&ZwqKPpnBl?1G$^J?BVVDn*f*hBLc_5HN}0`rUX9fwq-PW)bd2~HLBqxw70Hs%n2 z9Yt?8t^Z+7;~4Qvct&3}<}TWNG#mNKCmb6M_MrmQU^(`Qr@@d1=UobszM~yy9ce3U zQ3=Na=_tsk|GxyB z^v@kckGzr=S7S=cvvSuegFSBNl)I{`RIF%uYThCkGbkwEO8<}eu_7w68q({ z8l;fO2gh$2vY$&&*Zcav;grEXiBz-j8(plDh-*5|H+CoPH~ItmzVszs%qE@_2HwW~ z$ZA#PO>N8jk)ZEO4-Rtw!tqG3lyjs1ia6SK$9Md?mGFW<+Lm{KA{D0^99WN+#>RTugcF$LBj;&V zk9cD2QuJl;lXhDiqg^VuOLDoSx;kb4H?qk5~zle&ZOfHIbjv%&KMfJ_1 zwahuf^CG(G-*&{;)y2?1+|8mEk&^EKxTrf~ed=@)P@5ja@2BU|GbgZ$~v^M;qA(c2(=n1EpM zL%OfXqD^zrAl*2MDlqtPiMR5H@pDTr(vVPMIcns~OsXLUC+y>RAKJ%8eJCx_BhPu| zv&ajvEq9Wy?5*Ed!t;WjtlHoy$^CLw5^)XG=rygCb8!rQOUU$-{*9(NsPoAkg82pi z!i+!SXvt(G7MuGh&%idGKGcB%k{hC2uMv)#1ImV~EMPw-FYMcY%wYKx0f8jS`0m&Nk3tqSR1B;D#?(=FJrup3> zcfxhQ&()!+>Zci(Ms>Fit$ruMP5Cdip;z*K<<NAw~YF{NO_;8`=mMHG8bR^(M%_pH?Sa) zxISUxQ8($O=;#ou_aFY=!=A8mb`DwKBJ5k5NHC#h6uo!Xy-a`fCE=JVJY0z`0%P6g zn>g7IwQ)o5Cg+0&7m8kaCKY)Y4)&G=N)EM4YxKS1nt9<<1^qq`bD_QLW13Z$xNobw zFZfW9B`RZnK^&m7!(iy*RbYr58AaKM&kg^p#1Nkl{6v!9n>ko|cl$c!=-%Z|==8i- z>x(`<;EMwm;CsR6elPfwSL|9FF*{3hJ=XBUYykLbmN&U$Ej$~!Q0Y@}4<){iRC$w0 z?7Gb;x?xBiZ9f~mH~g5c_nu4Gm-2fA`!NeHV5!+kdGg1q(vwP4i+|miq&*Sv!^pk~ zdvW1mp^r~<)y0NS8Vq}z<0u-k?JDrc;;{XXvy0dMqY3CsVm?r`BboSuHztr6H*w?@ z&Yz4LFYcfp8MT{l|BDS(j>Z?HIzRSf92cyCzC+0;HI0^htJ%X`zW>TI`0w}EGVozI zFZ;k>{b%T1m41SDuT?kS?yS6rxmF}R8SwcRKg7ah7Wf_fpndYECm&Nb4S{a?P%i3) z2G_#(X%OH+_@>-&vj^9!RKcm*od~V^lY=(!IZqAmcC52ykn+o1d$CIb!kNr+!tP{8p-*0C5a;N*UqQ} zy@GY)7m>6GIHc3|F~rxbPxp!q;p3h{uQY?e2Ko@<5PcoNA7dRR{f`i0oZyKCj%3M2 zrI`1bTe;dcf!O9#fcN2k_%W&@FD5(z%=^OEoE)k=)om68`hKM?f#B*uc#Q+^;{F#? z|GfU;vcdg^8JPEZF6mj(B)#itqdhhE?ep4L&-Z{E&V)MeJ^3%J2rWp1rk=^5M*N`f zhd-HpKJdc`$H~P+ZUVY2G7hGH-8mHZF%*<^#YivZ0bVdESMY+9>bPC)gjh2`o&8A?fDY;4>_l}13WO)dNiq&L@WoL zhA)?UuHH^bq;bo&^Mvi-=SNLj z%N@Sz*YU8RnlJ8DEmT*+B^Mac^=uSykD$GEA5SSswRHP zuihsS*8P*$4s@XJctL@AU-+hNVpM;+SZoM4PO)|21?{R?2UwTo)@A$u}2)0 ze|S8QRgV?gBkn~Q2rm6Rz8_(p=3LKA*L3ZHUE@Z_xX;xqUVCEt zcuJo@rM;=NhCZc#@fxvmXGt7UsiFtmRHm>!Xkkym96dzdxQW`{&VDpaZhsvI+D`6B4)3 zE1B<}d=T?KaE)gNSW1p$$wcf$A!8Z~aj%i$K=}Cq8t-rcJXqGrpzq7`R>MzuhPYqb zG8eVfMfbD*wuE(2rK%5ew1>5JC*2Poja2S4a)O;jP$)50^TPC4gybqrZr;K_OrM5c z=8m2dJ7nchV=j_h=}%V%K5Faq5BSNPQz{EquJ>K=Ex8D1C;E|jpsPDXxJ;H6bBN{J zJEud5>u)E=XA#>|4`-Gd(v!K}hB7hE*M#nC!3FHyJhUGMetyS{I#p}AwIX%{TpU%6 zcEOJIeUoI(zf5zW9s6-I_m5HzboUsF5HM4bA%4lv;x%`@$VYlsS_dFMc@;^)ry=6E zh=1UyoW7fZ(zi9RcLMc(Cx_RD@IfazQ@5``B${VMcFcRu%}}58 z1_$cRJ;s$y%Ao-lHoqGOaf*xptcioI!-Na-82VIu$cc+F?@M1$N}BQnV%#Vkej`8J z$E26#)d1pj_Q7QEEqUL$68SSOUJiC8wD!Hc8XHR`C36;SwvQlo@!R(Tr}4Lg~rd3DVD+^@7LGER8AlPBPL;m`j>fx$KOU7>5l9UYQZ z)jmjlVJm!)cf4jDB{|UR?zo_ zulO@QKL-0PA55kFC(Yj2JxB5yU3X(22W(uJ7w%(-JsPXA2c7m!`}L+^J zr2y^;22W|ja2SxzRV8*ejQul7b36I1N%*VqC(Av`26-{A6)h<;n8(<48|D}0k#zIX zegp8wgzE?1_+DPTV}22T%-BGRoQlGUm+)P|=X-t&<`)LHg9nTDwvXp+N$>T3p#-{4 z$n#0)uWW7YHlRkd-rwDEo-|>C(`AFdZok3b!8KO*PWsayh=c6^0X!vHu)b1$XsWYv zr{`D+|8{#$2JPaUDfokElR3HWt-pS+!R`C1u;rm!F@?rvUPwI&r9N!byy~ug(P62w zulUcLMqCeS#=OrtmuH{D$G|+78v|(SjjJ#3g<#%q03z00llHRu!9NC!YYXtkgE^qw zGo09V=&&x6Dhy(BaGCMzCrkTQYi;QQ$9DeBBB)|ZLOXb=Pw97)^0AOd-o?CUD|-Tb z`;V>oKI8a!l-bWode#s4!iNJreDs54^)GaS{xTNI5b`?fuujbbA0{7#~M3;7?}%@7qWU4Z%N?y{R&M6oGA|qAd{TpU>DpIV;I2M~#lDorKiHS8bPrg$n(!HC9801R zMMH))z1>>>|0R+16l3CI+ZbX@lI@R$#?IaCe!jUqPJ5rwFII*9x_DkBkBs~a0RvVe z!BO{|;{$0txF8P5zXa}Hk#DmtS$%fsOWMf`y{}2<=fF_qxX*>Y#n15<(W1Az4m7L2 zw(YWk)6>HHe`eh)+(+(#`8C}=X;J|HhjAa{9M~3T%?-s_5zi&}=4FsC@Ue&2J7^yG zJ@#X4uxo0f(P&k>xCZ^`40yX6s&mv`==*#h2u)R;bWNJRZ*jgz|0wojSX2M-^6>z2 zV}4n5s@~U@n}h>l8t$t5+pJjX$H0^B;ldG^xGj_X1jt)v2;cUiE%_jblwL7gc|9Gy zXplb)$qP)npZXoTL1a!LWBDd`<^TB&580Mey=r0j!MqWJt3OYSnQ~N%vFK% zxu)1BNG|Upc(C%`9ABP4{+X0Rius>0EeG#eCn-h<>r$nTtK&TM_4ftgmN?KG*KGLpjgFM4}h= zGtn{b^KD#c+=E>?rBWDOG*C!h-Gdh6e%)(aDsj$!;kz{DqD^)aK3sq7HKq@`_r=t& zJvFyCB~|^b2TaNX8}CZrqZM=bs#wkQL?eg7``qG8&G#F(g$rfz)Rs7oSMQr_z5fpP z(pNL*|9Lkml)$NenGiwTz$`F-hei7GH^;K3dNzLM}>S_UaUXBqm%Q19|D{4nD8 zIt0GudkDvkY{f@t`xo-h3{Lv26W!&WoBu^pHeYC4M3Zm|PL&wq^B5XIcC0VicvH|B zzurAC?~DH#du8e88R;+isPlh9cVJ;1&fcCM*~VIQsn=F! zS_0iB+pZ1q)A(Bh6QKk?VQ38eUcB$AUTj38hGl-eFzxq19$9iYYf>c-R)jq~uMdwP z|8kRMj=u497&w`C@Od6ay?b-yU)WDlrNl(iAGz99_V*u;gHOy{R^(9FxBlphEa3<( z2)k|EnI9R|r@tL#LFmqM$yVKKwU?f6&%u>tL(?NC$#2g0uqU>;{yHF+_?o}5tuuK} ze9@`#<@Gxg39U3coA_E1$Ia(wV=oHXd>Qx_ zqNDv(Y%u<3ANXTj6Oqy-hlR6JXvbqWD%Yh$i-36*I!g*XJ?^u-r=tw!h+CGLCTr5^wZv>-z;c4j_-f| za3QEAUFWs4RsX`e9J*Hl3n;rz^ey}1mPX3wI|u!F`aZdCNMCZx2>P4zKc@z3P7Z#{ zt(XGa=4aCm)*FNTiLbF!wn5+T`Lg}^QNe_-+pYJ@v*^+q0G+Vkjeq&}&%U^iF)wrv zdTOG1Q92@&&`y~gfZQu%>)VgNW=Pz2n2m5G?OLSk`MeMJa|Yec@+GVzv)fj0MOg#! zCtiWRKl+Qt&NleGU~fGg-$p;rVR72umL64pzLfWUG{Sxb-2 zUl_Yr=Ja>e_wbBB!sEJV`J#B$&*vtq&(j=AUTnN+NZRKU8mjxdO%?>%^ytYaQQ8;y zow=ODb=kPc_i8*pSOa*_|pSl>AaTcOdONAmue*(y($$mv{(94Tjft`0IzNqy8B0FgjaG1P8TQF+uUou# zfV}ViGGX2aX7$P<6a9s_@Xjz-O5}q*75RPGSN`w=rv*imRnjsE%MvJ$w~TQd7d>K2 zEQ38ou8He-YkXDCQ<`rgj-`8>k+0;v-EKSL+O?ZQa+E99=4bIE55ruy2sy7VSCdF` z?#`u#@Q9sLm9KIzLUi31cQWYmh#nKd_9G_v+tG(WAnj^ZNordMw}*5MAR`ASH6Zt1Fr$2pt(~!4DWrS^w9UMJD_>y0``gQ2kzL0;=`sr{%;6+eu0l_06hfTM}Y7P47R7t0`F9MEw1^{ zbbh~rn<9Q`w@{kSUx3k$Bv_{nfpTB(I9slf=A@vF?z*Bk#LuzL$ zTEZ9R+TinJ4*Ds-Em?3t<9sO9V&T5ZFzs`CSY+g~zaKg)=O}tX5R%`|vr%*pvF{$u z(ur|lAF&_X37qfaG0ONS zH)g6H5Lafj29BodPV@#r?n{BbFFveyp2~e&1z!yZ^H(@gm9`)&R+h%CL>gHtm^D-9SGPv$}L8~-+=z|-xQ-t=ag_-5|ofMd)J_YoP{ec*GO*inz zm}d=twD2Wo<Ko9lN32NS6Pui(!;r03++kaE59ekEFtn0vr~vBEPMh37@?ZH>9o1!Q&;%aU4DXJlDWh|oe6P*`>hV6 zw~c#}qauiFV%s$-|Ryl<^@g+7n1h&r=vWFJ~S&|=W!4v zVSE@1KMY!D7A{0SSmyYZ-jdU8KNEdBz>lm&e#CuA|Jx^VPv&~g$xfw))Mtg;sLu&~ z;@f#Y0)64=Ie;#&`YK1DPpfi&EBG*c>=q>vWA=|VY@>Q(wOGAhgvAi!-@n*UWC$0t zb{r+Y4d3E2z(@0d$hGr0x8#dZ<-5&v)c&E1fyyz!evJD(?wm_jK05OIqC2>f<_+eC zYL0QQh2{w0>t2T1ujP(r{*d;e#N(HB_W{a@!T!kuyv6<5=>!+U@)dL3 zs6X~p-4;XN=kxo-0LsI$Uh99U%7s3Go^lTUO?D;3n%aN2D^~73-9xb-!y0lF&i!y% zaFrSSp0s>tE1cM6Ewgo>I1}SZLQjmQ zZt(!0%}F74TP=NX%Xo=;+vRC#(!W>%JXr2M`!~j{JXh!{EDr}hawDd=+TgzE)S!dg z+_Y@rUpnu}5w3ATl_dJ-Z@f5u@u0f6hc5XY`(?iOJgh{s{E_5$0Dla1La9B`hb)6R z^j`ENIDmV<$qExrqafwvboSLe%3l?PUz-emGS^zyf!~tX4{pbEh+D%q?Cng$xL~9t zUVChsAqOLYwHt=qbFSfhW;y1_5K00LeO>Py@wYFBKY%%8>A(5QJ+%Sy$ilJsF4qnl-1^E2OU*!X`%hcGopnL`Vo1`t4BHEp09m#@ICZmjvMx4oGYlb-&4Pb z@vjX|m2J2Ho)Yt!%Bwx0aTR%dg$YO&N}1UV&e$&LBhi5G3SQN z9_sh|2fT51ZxMVzw(|FRbmiE zKYQ&B9g$0L4UWFPz*+hpbD^WM{`=u&3Na3*_m{WDXEXa?I&sZqZ`}KtN85J3S$%Iq zlZYwHv+Ugobj1Ff#>FZh7`h+-xsK4=nP-#P0{Iv2Ax-e0n_N?V8hJ4m4h>7~-I^4q zy@q%`B;VGf&=6hX3Z6R#C^-fxhrXpBO@GWFR}0P2pKwt<&ahSAn`bWhTm}&5RVU$x z)n6J-Y%_IU7OlF(ch?Q>4R8A*f@-sI<00;2xHmNe=a0EIx52a7$M=%8{>1B@jd)%} zhr1lCf3FwFSF&yZzO2kgUk;&{v5~9i)X7nuqbO8zky{UdgDD2An+C^?uCD;!lJC(s z)2T9_^TRx7yXW=EF)4l|xk2p5l#c;EKlof9dMB$6V%>6tvmn&U9UbyGnpj?ZvD>Wvl)0A;2i})oH51!XyM2cK7Va6Vf!=y- zoB!<{|9ID-~+R%h3^wj{P zdVPsM@z>MFB9p#hf6N2uFUa-3eUPPnoD-syH-q_ydpbWM?<2iC$S3l(d|*0!|I&w2 zYDmrjdE~7eSRVy$2=DbjxNF|?iLd7Ws;LEDIFMp6EKElrR9MqpVJ(BkH#KiJz zjLgB4{7Q^R*BU;_uNzODftxx6{e|uBzZ&s6-`okIK%2pi+r~O7A82tP@!p|Jr3C84 zz*q2pWZ!`MnDFPFkVif-^vOr`@yT4BYe5|E4;&UP{RpSVnze^@O}@eY@fGmHa2?@{ z9sbJy$@Qc(t{FjJ66>lBy`43`k!>X$z-{+4=nCkV*FS4RTzA$Cdoj=^H~riTdgZhW zaHtm>Hf)rd9Y#p4yROIQ!~4f&+fs=!DPwk}5#yz|g3r%-eDz<@3x!&5n|hww3%UvV zOZ1N2?e>}IU!;R3{^lyVk#z7RI`A5NCHP}^??2o7eU@+@4!Pek*mtz~tu66!IJiqT zp+%}uQ}`|aU_Ld@Dd{7b5;NzZ?9 zgg!@|UDXWulMz!$pH_+5V6D6W`is1d7iH`FwqcRMxxV7L@F!zU^WiV#1Npwc%9qx0 z{n)1p%GXBzh3lD@Zmdh7!Prc?0sa{8)jM@k9%yN#`XkVb{RI~Wcwk?}2Gd6ony;?! zP1C>YSJk{6UfIIe9|}-WpugmHPhK#S^y-WaR$n9dmeQZyGfFuU;PoBhK6spq zjN4r|BUEyv|KUC+T*QVq4NiAW9AHCysGhZgcovS(J#h%F6VfebIqO|LrQb1n$15X}4fW9XF`ds_?`|cz?r>}9 zH4GleYpZ_Fn!$wDhV!lG`BOvGKHR$we-8&_UBfgdw9Z}j&SBsuvrQvsdK&SsX+QSK zV^{|560dv4FFeHu{{}iu6c?l6d0|{bdX_7t_5-103G_-{d@m0df3VXJS=3H=A$N=e z^D03Zx25NhryCE*CdS#V%Jd@dTL29_1czDn>Q0&)eQ&3n!*;ovtE`~+&22uZ#P*aO zzobadReLY+$2f4e8eDnKH#LpWc@@t~Q#Q1r|3!LB?zxFirHe-_{RSDXG3IpULTBK; zT>|@GQ_L@1Us)Z`3qL>MqZ0KTxKl}a$iKwN95o$!)9+t3?)UB9@(k{E`({n8 zIqFj&wT2uJWPoo8F8yaGDo{gSKu>p3A9Ye)@%JUY%+Vg6(9XnojH*Y_Kg;)8N8}Sx zAK5qHy7qGIjL_Wv`oUz6>%(UF5ID#G%{%y^;ajr^@R$7a$unkxJMhP@$nQ%p!RajG z_>Ivcia3@&{iwI(d%pSu+%zsKnG;Hk<@6naUM11@N)53`h1kd~%4uD?z7MUy*Wy4W z{G&40&(s^q!yYseGNHSB7x;KRWAv zWrY=)FrNO6{7h4}pQW~y=QXT(pyspSyNr^6Q?c`k2M%iVqK7DQ)(xW#PeSBDV)yzxR zJ=G5$^7)+e@Y8!#YAfxNbF8Ku8qE705N{f}75;a=SKp3Q9VIx1PR6oBvdHkjn&}Pr z7Sg}*r;qr0+K0rekMeVHE7^a4-jSZ%T~lNCnLz28w{43)3yj%AK1UIId>yrM}oi$h7*PghBcVJSka&*ww z!TL-Q?tv^@@1BuDOR%P^H}JOMhj#RZpN&?3WDNGQuzQ@x=XZVyoPRxW&xX8K+`yf_ zW{}zVSmoLt$d>-0w71C9Gq~sn^pJ6Xd!q6!%g!V!zqf~_<`kB|2L%CZ<2mq?*(bWS z(BQRSJl^;77|hW-h<;&VqN5*4-x2&U+#|E@stZZ~a7SCwv27>kYA&L%lb-AMB9%9T z9523g0KJzQlDqppQul7dyycu*Qh+@)8#~cYD}Jt3{^DO8{&^;GeX#w%!IX9H`jHj2 zv&ju>y_Tn=bieV<5L(>Sufse09GyR2q5lP#{+<`XRS==!rol0wh0APcGxu>-7)@7~ zVnI8^Lpkl^{glf(9QjH%+;*=foWB)qkmtJo0Zujts?Uq?V(`Y9^Ai+9a(y{cWN>~b z0?!M_d+%b;F8uN^@GfAh`tvjRCL!Or+$zuSpA3}uNGNz0lEbK!LT@oXY~28!4TCD( zNqfbR=ZD(#P3cq%)!zq4Q*{UlKj3`fdC99)z9IfZ5 zB{%W+lwAGZFLRchyZg>m<$BLgQJ&t`+lKV2R~oH*@w5oZW4~U3_X~hvw_K8RKi%A& z_Tl`h^;<0c4_mcB^jXZi9Ng~NQ|K=(v5>%i>{~9V^Yqa7_rgSC-mBHgN+g`YUU9@2 zo259H1WN;c8^6A0ZO$gHOMUZqAW6?riZ5|ZPx12#w5$O>u^<-$wZ3y`PF>>bu=S@L z)d@y*BF3Ay^+T^PzmV%k(@kKCvfOVNT&L`IC_?kK8wQI{Yswt5y0vBrFKK6fzI`8|UM`=Zeb0KW%E;kQk=KQQ_4P~F=l_$#;S@oS?Z2iMkn z=)8eE@-BQJm!NkFzkPgbVw+dQBjk&?x1bOBFnHZWEzCFSv%okwhElmu=#USsL+x%u z_`>)a?v*}9-xJ{TbFTIn<}|ju4rz?JiT!byb1L&c@BsXqy!OuXqRYwW|2wuKQT#lm zF~9I}Y~3hFbJF=m2Kxq29IsA{zi0^mm~i*tx3pn<$(1mIJ1O$R5qIUVesUzPf9u;m zkNE5MjkSmH*w1@`Z<)T@xd+lB(w|kT$Pf-rb3z%zaNzwkYw>H|x&?`y&1xx2yX#cU+ zsIa+e+yhv356&scLs&)7c)kvxub%5#P4BEU4>-k>kYcY`dx3-cM;hc&LNoV{rRKZJ z{&a6N`YZVbj9%=z65PLGOk|@!Bba?(tG(b~y-D)OIHYQsf79bB}p1iiJ=%VH!5mv+?Y z>*7akg?V4Ths%SNpWhpKF|PHy9i{!JnD?be6#nEKF7o{XeoJts%OYPXzKGe;$_XW+ zomd}_!SgPBoJH2O+~sfIkPz_4V2ivv)=W=PJLFs8qVWjt0p~MjeIDM!2f+pEIsTek zyZG9W-oMix%9Yz^D}Iljoy;^^ULdWhFJELUglP|D0P@K0Of)Po4&a*T)gOLK{s$D{ zeBlr72XQ3%!zk`+LDt zdQ$aL@V;1T!LKh@@E2g8_;zNIA-*hYN6Cwv_OWQr*c_mH$-l!?Z@lVGa#4HuXV;E{Kpf}BH&ypfIqV>u+Yj9^zlc!~e#>hx z?5;CWeFhRviYLZU&-J-!2-o{=99?^!GA<^5fc+TzP~%7F-2Na)^o{w@i6s94pGQ3uU|L~***TFPfI{PYUIcHn zSDxl2^crI98`IvG;O77OJa|f8%-tU4L>rqUcx+{-_j-pk;;+fp3>T6biLEBu!@1pn z1nmWzUts)*HSBui47oQX{ZO!SjUu7PaGzaia4X@G+6~^g_;!wjYYqzj9A zaS$8xi*SvGfY-->NAS|QzHa9MYr?mp<__pr_g|Fz#!<{KG9T6k-ouQ430vCdF{xqnfv;nY^NmOb z6{N=y*OjcrK4jsv*d9HvXQ+Sv;~4s9K7d2;T{!@M(`|UN_9MjjOJ7y>XBotEb`Mvn>6Jb8+L0DQa!#4lcB$`0Xffu^062%Ju^dk$O^MZsV{m|kzrHg{UBTzvaUhApJsV zcy54&y|e~;<&Rb!Qc8`bLiSa^iljlW_Y{0<3*Q86FT2o>!M&9aYYw6zs5u*N2i_kK z`lVusZBnlba&&(-^0vXYiYtHE3#Tl)Ocs5`z})YBh3{T<`e6Ej1Ct5p6PKb=JLM04 zokk+7?Qqdvg7ffMSAjqTKaBJhK!4%KcukvRTE-m4o589}j)mS2+m}b9Xp)}ZS8mGf zE({mnRNKBIDFSPNAuUGf=Z5_R|K4*mNx7(hN7D|z2%NGembdO+ikG}V*EPtQZegRv zC4=MC&)^dh-K{~G?(HA@s~_`7vGkrzcnw}3LVRE5x&Xtx33&w#d!! z3nL8rKI%4Gz-Pz%qG>~8h|_TMuKLJc>*=Npo#Rr*C?^xViwd|H7~aXcKkVsG4#u(T z9S&#c+++M=Ju6@rCZqzJC`Cb?AfR6+i)w;C? zs2?U`sJ?I9JxKN!TWS!4HD@l#Q*J5zK7347JC;E>-dZl+G)lOJwa48vq+j>TEcI_} ziK8uS2>2bJAKnWe6W~wg3laG!KY4v3VXC|N!{0imcW;y@b9y%PO8(eNqhD+w`p44W zfFq0CZgym8a%G@6xY;~iOuPdwCfBC;6&QT&cY^@~~O#QDPh zhjXbU*pwU2>XRH`BJS~y2d@vbPb9@l_8~WMk7eUpZZNgvoP%q!=3vn$E;?KD32cIH@*ox3A$McJRLbT>3nv-(ilcNc1SP01_e9K1hqFekIZ&uy;(*@%q z))Ggzm`V6(=R;{27i|RitG*6>UpVH;9@-ZIfAUt?LL#4Mt4`h)_b~=0-U(G5sVVqJ z+(#QD_^RR(dawhwq0oOAi1evz@e$s$J& z=+YnCb|3XK^cUvB*B*vGY3{wdpQ8Df)84e4eIK0@#eaM((L(32zMk_N_%Oh8r@T&~ zyL{hAZf^gUA=?&$r<4L)V7n|E`W%d;ecdGKGfl~{s4w_HzOiK9>!IrwpcjMrd{=Rw zz}jR|&k)H`w?Aq{XdgM^1%EPQcTWs)5Prq-LYxo0w~KXE|6H<(pi-Y6TsmGp_rjsK zj2e6{tc}w=@v=ba%f1a=pLNXZ*pnb_@6@(?sBkBquSSlLi`)B03STB*A9P6W6}5uj zlJjBUk5xm#)+IBzWx!DWIvxF7;4hvZiN06PYqcmeL|+_WFMPIN=4VR(SWi4J($`iT zLYt1RwW_Rf2L>2NoF7%vmT(qA73t zolegTmOkf@cF80<2J)4%KgxBZj5o(KE{zYT6Z7`XvB&cw7{Qy!oAZ4Xetz-SIFsgg z(xa*3_phq2LLNCKvCbETE#f7o(=ru(V)J=}ddVmYjMUIy&B|rOyw99j>!JSYgS9R; zm`nM`J`Z9%fX^~pTFiA(PqV3D8VgCS3Af#CxBo#O6~;{7D<{myVrY9wpG{}h_x z7a!tlPr%#^;is4HJBHTIK~q$mH~o$Ec&*OKRF6Tq3~o#07+jx=KXQg05Ci4 zPInlOaodr8!Xji5-v473etP0{(w%tS6WTO`4qiOFutKv@s^?$4Yg}13K4xT2rp&+h zYwLY%;83&ppL2>*)Ng+Zz8;(k<_?Jzh=An3CJVj6*RJSS@L*y0x(Po&(k9mzS4O^) zgB9>6w-Ljsjq0rplZa`}HF1wroiE>D?rHG`i|lcmJquTUxNnGZUjMby`91^s3+vaD z9EfF>8FzB&*reLu9SL+L#G;SZ8IO6NUmOj!S1!itmeG)lK=Hh^0N!^X`oueK3&<&h zoEY0*UmU}JjOUY{q2eD*!S^DGedB(Sv;=Y1>^(WUM?yYWa??wLG`BVleb79Itcxbb zc3qi(o=ZGFcO43i;rPdJ(Fh=@#=3yWzbH4E}TQlX;EsCHQ09 z)AieI?SFYvWu*FPi_>T{^SEY26WfcX^&mo;72)_+#8dvTdrF z{3S?co7&VSyH6N^H-}022S(lQ81C$A;i3iO!0i7|AJi%OhNhR`&)shOz0st{H?F{_MDx z|I1Svu1;>&(vwsEH&5w}sq(-pxM2wY z??#+*e83wQuG@TY$B_RY*Cdzzin{do@c2-A;@$LddwL~^*xvIHd+5_o|2We9Dtz?FHRkQcImGw>ez%S27H}lbwiln++#Bde=J64H zEnf4i8#q{f|FKR4`rXd{RYUquzf1NXF_e<>el?s0ny~%=hZsni$LP2Va2bjg!M@kN~F(4Ds6}#i;+Y*oVfke;)g> zF3hVb8l!z*YtZ)!e}7l#`&=uMf_tFw4gbv0oZW>IPSYkYLMpm=>xD$k>srUroxmEq zd`9PJp5RT9A^pj2jyf0MJ>^N2K{sf{A&QU0o0Ty_#xBzh}~jJmrr1duU(V zaP++bXYrs9K2NSSXi%hc(G%p6acwv|G*0zS>`R!pcj7DfVR+E3=tIJfi%+CjzR$o< z#rcxapU{^CS>=6`ROMhr`qKNTg?0SUmsFPlIaZ~q8OCzQvDlA6O}q%b(n`Pq`3BeA z^}~L*FZ-vvMiAWQ&De%RqNpuQzTAj0?zwiqT zx`g<#4@FT`F3_CgMjws=%#8U(dd(}1q%LULxc^U@+{Z7E!#9 z>t`$Pll3#Ql_zz~MR}@i|0sRES#Pzn6id z2zhsXrF*KYCO8t?M2F9@(00yK-w)7zde@=qZ>`}$d$FyZomPX#{R@x#pwGg3`0#x6 z^f8z5P}dB4!2@g4QOd1+ch~63@1JRz#C72fTEx+=pKDijO;mnz`oAf}vE1xJZ>rd> z(zo-vBx=3|eoM{;XF`9;0XFih=PA^Ii-jwoSDpKlz*CYrVU>-%7iX1DBCgSSmTS@d z@4>4E-{0R(wGdLJS^r@lD*a>*AY) z$D7nYiJag927v_KFl7Il9jCmZ34!8g+vuGud%N|cEpl(Z)C75CJT~9LmwO@upJ=T} z;`*_m89B=F#vVa>2I7On=btzLJ~zx|b@JdRVcu9cIAyE{tSvNJaB*BKd(90dWJ>O| zF76xhYdaJ|z_cxD-N#Aw=@k`duLBgCJ*j%HG&>V&bBh+*L4V<5%y;pcXY;*gh`;h& zlJ+bO3?`PhQkx{xWG-l19!1kSBKQsd7;L#23*(^o@_qbivT$>X^D)1$!4S^}(;H00j44}5+$#M}=h*EKDi|HbnneJ&SX zYp&#|ho1i-w&Gt-LSK^PHx9x-%7M2<;Ja}i2%O7)%U^26!BSdpCc9pT}x1Uw`!Hpr`62_QG=S+v=^K ze>L>KfScAjz#{piK3j9i1X@7ig%stnzV;E{=f%z`>d#$bBYX4v|0N2a@+7{mpz>_4 z>U`B;op20t2}!&^!MrbeqiqNY7IU$c=EoyFN#^%<4g^>2kqJw3Npj%zT$OuY(WKnT z=Oc)5b%&SSG-gyrLbtI=_(UTI2TGrM+aB7p^ayjiaNg^L3g>*sV6*UJPLzw(o^bf| z`CLD@);$f@rt2tTpn;Zy>pX?npbXWG>hgSM@SPWm5Ox9Tl8Hv$IAHzX%`DT!*b zabf`aD*?9J*aH3-=Ebj#qG-Mzq`Ju-XGB^!mFGPyczyCYUI8zQftrcvtHgaGrUg+e z4*X+3Ci{o8*7SPlmn{k$;)NgZ59WR8eQ$BmsD>id1JH4W-~TpLeY_$5l!)4^ecr{! zMBwUt?Ye0HOr9;BEx_jZr)=`$L4UgoaeeXqRiWyeHNwb+U%+p!8fRE3-XA0P`G3tm zy2l%Yc{=Co@N<2}5PywV$9k);yf8_1AMh<(Ag6T-K4Hl@P6c0<-#4*d%6prUsJaz+ zN^F~HULl8|*1-~3WbAXsH$1Jnd`?T7fPekZ^D7Z90mN pGe29Cxp~`hZS3s_s`M zPwx%Wz=K7wY4($JVtab2YiT8Yg++$+dnIP7zvE@B?kD`s${BzUEI19ut6#j8W7z=w zQT zs}=lX%xCwA*Iw2AHw@v^ePjz0uL&C!-$h$k&m| zp&y?^i`D`t3qP0iKFHFS)W9-wNqcl1Nb2rGlu(^aFp7ZbZ)PhAbmP*-d~k`<)Bwdv;y{I z@3dfASm#2uIX#j|a)YO$)K|3y^FFZU)fR^9&x=0s?fkuYkw(MT!wG`tn`5C{dJ=KJ z?tIMql3y@eQ#TG4fIr6P@!n}>?U4a*950>J-8V3gaKA~#Flxd^fLYLAn2&U~*ub>^ z)&1sOXnT7BR8wUAcNS~#9>gzl2Rvv7PacQ9d zNYziFd3JBC_^f*M$|>Qt-ZMV(dus=JwSiS=;0u2S_cx^m$h~=bVHkm~cA?TUclCeO zs3ATB?{D%5+tGM0`1zS<)TDU^an0h#vZLr4Qd>5&iww>SG~Am>To>P}CAh<|>qOx` zE8Lh*DcYxa+nd6e57j48pQDMG+k3d3YkeV?y7dKM@IUw~Q9tutM_)2dy(}CtHbs37 z&upa6qeD+{vxBNGYrYxti-5nc7#=vN_FP5J9WShEM9{!db0@z=|HHRjoYT=-eXqZI z63Z)r>l}nf(&BY45p1lrLtIr~PBW=rV@|y40q!>p;m1UobYF5kP`{t);66ci?N}w3 z>LZ4f5)>-?*T2BGjNt`uLL@ED>+(ra%qI|?#Sb;Rgz3Em zeWgcju=z=gA>OKO&GeD`ea*-WxyP?8KZbJm{giqQ=gUZzIX)*5udg!x13!5oUSK`p zPv-Z&YG`sq#1S(jSTVcMM zE8m);{1EuZ7B+m;)ha1TbhA#_Gc^{23;IA%U+@6BC-2z;T9-U8MIj_I_-8BPvFe}w zp6aW*;UIlk8_(ww$BOd1y6Qe5-K2lM9(Z2h{{qq3VE$N~?R{Q~P!@VsE&tbEF(^XsS}?H3BO2!H7;{EB>?M+p=0 z`1!7Pp&|NfdwXIW%rNv>i0=XY$W6K6YkP=tX}@uz6^mjJ>8n7`c}=hd91-3}`#URt z=V6@kz0blgEP_+M!RKn@Ka%vl{Y|jk^PTFzZ^`*>^u3ltjyO5QP5INY;d1}_;$bq` z@{9jun&ipLMj{`^eHiwL1289JKs0eIzT@@% zu}`sMUuIeCZJ%yO(zw8o-pKJWx^L*?LyTAYrxV`a>+@|~u4HKLq$hGCcw7$dNg}ua z#@*iOM_&BChYlip%?RY2S?B!5OZwzf!V~rVIVM*42G`5wQ24o#XqqlEg!7eBop{Wv zTp9Optd;y70;nYy8zU#pb<2lv?`p^VRQLe6fA=T&RfK04;!eC)UVlEF<_-IA;DCK; z>eq0%Yy1cs{){2WZEykE%~p(Eio_{?uSI_JB9hE0s&ZPUv zeIs;U`u?UNyrGYAREC98*FfUqI=5{ueZ;eIKe59NO0)A7`GVDR>X zPp%qlLmmPitZ=5fgAaobVpHv8`kT3)Go#c;5b37q zd#(JnpX9-7V*~JPqn~?-|Lf=|Tk6jMfT7vcg!7wmF1oLn6iQpSBhXYejLxKU68)-S z!wZnvF~sqZPW^n8ztcKH`oPO$Kh}>6!uolu4zmgOQ1(Ur>L+=zfwePeEuR-LVak2& z}#3x-yk-Yena3mw0w?mzT>7B88RP6R40x#cc^5c+08KsRRM>9`|Kx$5!ZFl zR`6h@7~GLKrZ}Ng93!DlUq@b!(D$@Yj($$rCe4?G22pF^tV{b_NbC^EEA~X8UKi{I#{JHP zzJ&(r-D~s+vKL;+DfnSHo^tcCkM_1+!aT+on9)vz^x28jPZj6})|%JPq^hpJ%vtk3 z|HY9j2Mh1UljJq;=Np`>tBJYySRHH%z7N)Z2d8B1TiK3$B?q=9y3uErAE$=v{lFUi z$ei!Kl&1Zk(DRux^2Et|P5f(Gj(#!jac_}_{n(K)qpgcC7`%VZf-WUK z-FKntM?(JP0Q0J67aQDDGpbz|VoX4{?bs*dVliWFHaQ;pJYdI47v-|83ss&V=KY3Z zM7U}=v#>ueM)L`{kD)2S zOJb1!(lGVi?sk_RuKHUXX+327@lEq&zq9ZscjCH%@^8|Kaf{#K^Avuq$6aG3@MmL| zWYRy7|4-P)Q9tIzVsC^k^q^Z;QwZu&<28G|37Gnv!R->oxB4UsoJx<~?vJq_V|@SP z+bJYCBRky3AXhrW4LmM|C4KEE3RDB{=cyz)_&d(ZaRU!ZjNqlghha`brvl?dIRMjalEt62zyf_A^|LLJ zfB6~s$pYy6F>}!5xYJx2{jQWD2AAEfEekNYFr3a)s8r^FnNmC?j8+&P$E z7TBV3Cp2F4@RS8+`U~Td)qfWa@h4p~YYqf?V&SdKM1Lg*%|eTf5awWbbWxq9L3z!0 z7GzU>j`N>&A*pxWA4>chuM!IVWePWk6)10fTMQjwJ#)PeWx|j=c4P*%!Jf$DhcT+F za{h%uO!uKXfv)j)HGgUYtlbbiSHgva9|pBn_a994qCaotcF+AKQRl>>Si&~`Mzy#c z%>}^EUy0wdyQ>qn2CrItYayIdzQ<{1@PYSj=TEfs@EWv$=~_qQ2~SWs(TPW zUh!=*r0?{*GNVZ5uiJNxinwT3yqBqbq8@Sbb697AlZyBA&GM3Fz*8sWjhr8 zm7FV`j`uW*Z05kv&$+ue8p!2v;cP9i{44Xp}l*^LOUf8 zcGckZLVfJ3q(`V!gz9(mLeziU*qUUnJm^XBY)C)kK#!Pz^DbAofzvSW3&#=ji}3s4 zx5O!dn`5DYt;maRCX?o*KLygiE4DVAIx3fPL0z!a&sCm}KRBfj#Ey@KkDV7Cfss^` zjcM4A4QDV9`YWY3`a}>_!hNs{eAU2BI_ATl+yccyM{eX0j{%8Eg@))uTkW-X6@LCV z+)GNn#J0e$-wh_HgW*pnIq7{X!A|EMhcunH>$zwT3UY4}bEus_qslV5x4=kc9)8PY z_2X;`CLRMOhk-xFe&1(N^bG^e&$&rI*xGa9;&-|2K2rE}O+Kd)0Uz6YEBO2j{0|}B z5A2C1js@BLZmn~~(0F}M%{7jVGpjK+OTe1w@U+LN>#`($1Wei26YVra`ZI&iQhD@Nz*!QgQ}LC~^ehURKc zXHaJbIQI6YO}tm$nM5b~5B?kaUc2uwPpq1uy@NwB4#^%2@b*Yt*PXKI&6p9OXXSIhic`+lsd(ab z?UrT*2DVJ?UOYk%2=^92uay2$%=?nN{4q-PkHK!#lnwsl!j&72`GtF{hwo0)_Y(9M z&L5;yA6dv9CeR*fB$O{JIv8}Fj`=oz8nt8&IZ`q6?v@QD@}(w~zMLodN| zs~PMgJwl&x&*ECzwtrzy#^;8C^JTRA;fHII2rWGBAJ+ScetEz;gRb4)`bTZ#&!n~q z^L_{OE_mq@l`k+Yme2x`RJRd$zT#8AYsme!TXkX{-LsE5I=@v2Q0_%inEFM{?o@eE z`xQUWb(EgBK9!NL;tO}CyY^N;OBWvQheK(!Q5J?pMl}Xbt;|#(0em>QjPdGYre+Y{ zKkZG?ycoD0KVd7;q$&KCxS)5z{KEG3UNdr)4+p)H@%j_;eaOV%s-`KLhl{omo}vFU z%w@oj#KU(c`Dst^98kaW`!tUVQ3R#cvgM>={cPpgrG_=bm%&lUct zrIM@m12;11+`_I>Q*8iMDg0~6aSXub}5r9AHworS+u_EQ`+0&Y9+V!Y;n z%>{<+o8KqVAk?_87#v)Zdr2m^F1t@(6s39V6gTC@O$(=4Xd(A|kt{vQJ$_BoJm|=1 z&F5j>mtM}H(ZuV@_2?Iq8ncfhh~Hbs&1M<~oXWu2mkgd$I_@(Q=+pN?Zb9E?fggS1 z%spJ)so3D2<`-`~bpM=TD?N+Zrfi+75?$yr`=ar@u#EY*Ci+@R_#N*YV5}M*LvwiU zjs^dbeFxppdmOgrpIeysv-yJHsrvqbjd)&Q^K;tmC%m@wvf%acqCO-{=RD~9>|;BH zeR5&DwWo&8jU~TRm*3xMm!os=;UYuwrmodBw^znOToc%#dVq4M(lPHd9~=8I;VCY4 z)E+YM^q%)Y0ortT$v0JfmrkIO*Sd2&jlSZ=anmA$^A)Rq%~ZX*T%6ov&EDv*(Bgrm2ln++|; z*UHW+NzTb{kw@l~%F@EC2KQZrBZmY7qR&-Hl(iS0J@rXlxe=;igfCwyuk+2Vse4laz0os*!Wu(8Po{Z|b1 z?r0{q^Q4`PkX%r`Z*nM=eeUo-%DpU3^O+QCA-1RQ{ViJcjum*1N#Lu{5bkP!d#dj^ zyzk5DnKXcnmH$EC=lk285dHm*bt1OazIl8bUuSB8?{4Lrl>hJcFUuVsV6xESK=>7ZFYyV*y`)i!nQWSC5kRBoHEQ%>JZWB^cqBlNGHp};S9{gjX2mJ0$ zX6S}jJrh;8gs+ABr|TcYz6vqdVee9iYgVo6AZH5sY-@B1P03{-yN&Abozug3S%%=1jb3y-d`PbL4jdsT=3!kbl_*;Gg#mi#)%RTZal?;C(QB z*!Z}1J46!KK71Ym-!b#0lf%g@`;(M<|0{301yl zB>XF|`Tw3)V8~u&Ner#pfWo#tKFZS_pCNnHyu2~=!54-R@GWf_Fj$0n7u?IT_Wtx$ ztM%2qjSS+P!M}6DD24S6@Wx|c`y6*5QTaWNB|XK9vEO8$PryAxe04Xg%UrO?$D;YL z9|Dx~Q4prSr@!23vrlEL2y4h5rFKT1f1N5FcMw0*O#3|Dn}QD`KBym&v*Lc?bI8^5V0Y-I!TXTt4BXSWr>t!dF$Q%M z&Oz>T|GE)+UwQxN7pgf++(R1hi^4Zja`A(*kT+r@8u~0`|9?41{Gp34fLFl1FzCl( z%uPD(!{TF%EHqdxS@Nqr&1L=WpG;yr`_JFO&(HbX@WHxAUgAV+AeXJm0dJi5Rc+I> zpRF7AuWWdl2EQd@V^+-)h}Y9@=o3HMa9h#?^q|Oo4}123c+32hnyk6C4^iT`?(o2k z43=sC3@66WQJ<0Y^UOm&Np(ii1qM$Xjn@8~;Uw>agV^tlVZ$w+7mi(*T^_GFhhNOp zP>jeI4dEeNH4~8HIj{!PFH-Rb-wS@t(c7on3>qc+ zs_Ao)A-zD8@VsC;Kl^i>^it13j!N=2zNyOdaP*pU7kRXA z*@4J@=u48Gnk0NrlF>K<{Ze#R==*$+`XVn$@&iNOqHk5s%K`)S5htdeg6;{N;MC9I z+EU)n2AYB+Kc?EARoqdgEmhmiPL zy_}RsS5QIx(4{Y@svlvpv+_Qi@Z7(}1^;op_8Jb$H+YX_!F(^zZ+b8>zS8S!^t-UG zw<3zfCzlA`I3MHYaN+H?`;aW>b#3?qC9gO!TJxH9NP2I7O^Bu#&g)#VCO)R7Rgaf_ z=%JaoPq2>O>4K2}BfGvWfo*mHwLS8L*FX`@854o z5)_Khx;r8%uG$nWF(QfIiCx&xST{vvuP;amA~HMq8a0u<3AQGJwQ=u3iu zaMLg9=igq8`xh5MKJy{RoA(+Y=$b;@vzs4lqdetWNdz@@sV(+n=Vc#%)!-OZS3LK^ zBU}-#Jh;cf+H3yUiiY4=*xJ=oIh;Kls3!vI$?$hdZ(mzif-7KHhe0M9$%R0T<4bhV zn+9{m3R;_}E!GyE`vaw?yGBqhwdJvSj79veeM*OlUu}061nHvmV0vB1FiWZK0ja@l<4sREYJVtR;u>$EpS$!eMk7<3=|%}j3@rF2Z0a6zutOZqKBRf0LBGNo^qXg zvfks@MA09t&%n;wOVUdh+6;#+CjJ3K9#gd^Ovy{T}z(ox#3-Iue4- zkgtTFJ9dGY4v8`Rg5k&Mqu-$Ts%KXD-rcH^J#7Z#*Yq&r_;=83cM`ty0Y~Eczg@la2r0FXIrrRE zpYg=}!bSk(Rb>z6iJUWHB>ie;5w-w5nD+vAyBMak5>dLTDy)*gsn7eJsqA(9XN#*|!eFwv(g-xw`L#e+;QsBRn`@z!sBxTW7b-rCKM4I|++%wwf+i#8 zoPhI%>%`qHCheoi3Zm~@-*Hb&w9vTw05}##6TTIVKAz4|?y491+4vrh{QkZdK}*K3 z$fV;fk>CY?jCJoSA44dF{oR;fdUMf>tDW!`4_c)W(!z1U=o1$nZiGoWWp)X~c-V(M zt{Ge(8HxPy8}4mcAFT6{Kl&^gz;GP*G47FBhCV(P-j;?FT+FMZ>Wvh?&n^6Zncw%< zs%T<+{m3pve*hQNd~vkqDF3onJ~H_HyneW_&8)p!r!N?sJI=#>jB6jBl?tQi3Rnn@ z^{2560`Mv}UU1LemtB;H`p%YCbKSzhZ0W&1J=28*XYx}?e&0K+q@Sd~D8PJpaAu5h zxqtFe-T~$V_Ek;mF-EzinDh7f%+8_u!0ipg`667arPV36$I(tkd+bG-e>)_AMshCpr!ZpdLm%k-mDrex zc^_`yeigxkMTY8;TQ?8+-tQfY92@(S>W|Vq)1JFV_p=D-`e*5Unu-2O$jhUqL+@q& zKXgd(lb-da;qY7S2cMsF&!In9=qunTe$UUPF!)!4>tH|1_malG!uhM8op_ZbdU z3pSJe&?|#@F+0Ll`I+-g%0=4@y%Hbe_E$Fy_O~4$1#Un4MO=bp9^5kly@Z_8y$>D5 z1!VmWq120eZNkhtmm)7Fd!Vo!vSI@T{FYpIGwY`y;S&A65zjdXzbeMao-6r74)O8% z_(q|@)5ew+_L2*CIGw5e6|H?q*1)cVsUm~c<~ym+<9j>FrR6tBEActN&&vjZACTX7 zs+P6BUIH=Kprb#|7sRaJ4^5`sP(8+;2&Vslu?&ud-VYmR?42m}K^=0F+{;1e`?a}% zro%{*`g!ojq^A%1B>Ngoex$ydebMwa_wJP{MZErhHY1*z0Qhm{F#H?>b^$*bcJouW z&H5gy6sA3H>-?2xeYseC8CTkO5zf)h-)-q44w}XHv*|M*i`!fXL*#GChe8Q%m$zTV zh0(lqH_<4NFZ_;v+rgt^!1X!kQ#fs_PQknn99q}RG5T|l^rkV~OL8Si?|)_dB}Y8p zEkih8HRgrsJ!S^@V<>2>doYo>Z|`mYI9h=hLlpAl*m|KD?Vjdg5`Fj-S_1KQ@Io41Y-k=wf^Dv!L ziLoI^zV)Rl9I#lGLXviTWFxxEvvEoE=Y;b&m)WC#61dl-*7*j1?JHe`Ul_XVK)VRC zp~q zAfEY)$xizVT+?(;|IS5ww0D^3Ur#L5of1m=N(&6(qK*JRi5I1pf^}bv|1BI?JTH5{ zg0U9;V(c?oekfdgw3ppRYA=EHC~C+8@h{*FFyDxXoVX}yPBh``!^9WWQ@f)t69?Us zHD>wV9_V$^;OA%RPVo1R?_56gawyH_;41Q!!k6_ZHXK@Dld>87WG;LhV=H{MZGqVo z1Poox?_G%7D~>?l$0<>-6P~wT@(V67To8+CX^A1U_im3FQ;N4O9e`9g)mp$a2019S+YQ3R^KSgKvckX27KWJbLl9&NKrg0DFPym7cXcP?*^z9j62YmZDR;ZWM>Uf3;3`P)U75Ny1J_GKGj6sIrmgKUi-T8ZyNGF z!aiBJT?Yc?9@t=TE-eSnv2y_Wn)to(d`>IZ;!#9wqe805;N@D@D;X!-+ z0F;TgrC2s@MP^ffUa~udeq3?3y!*ty@qTi3N&xhT;#DCHV&&wb-nm>pY z{&IcrF1U~EnfE5#K+t_Gfek2$Q=*l{LnN<&5iry zsZZr^cjCBP$WZXc;jZ5BUz+rLxBePA=RF0JGTUZ}E^}i@9Bsh!`zpyyUm(Z00=hlY zhhs)B_7?rx+a*zahf$dKr$H|K5q*%7@3KN4AOCso`^a9~$0LQDd+{Q{M);AJn)mDSk0q#*Z!lH2{&;X#xF>82@=kp0+zlo6r~@FC7ci+%NWH2Zl!;jvr_tM+QSY7(&dy zcW!J}-u4Rg1Hk@r#|8H+?rHWlQEgz9BL*Tb#y;U5=&$5Ll(W&qxQ__*@yUL9bfHn2 z1=TLtk0m@FQ9lKo9q75u?)YfF@wX6){TCp{WGD4?fS=rl!6!wjnj2m2ths4CFY=y) zUU{GUf?HoR);Ra5`xwuM^w7@^rs2TqR_cQN7=ImBMrr>m^nGqSc$6D1dC2P@la)V= z{C*NIfS^yx{RsQ9{@k04JhJ#Hi_zc4K=D@bl2+A^mCtKEBx*&W3%bh@}9rE9PFa+#rdK7z5Eh+WCn^KziO;y zJ$pMOK+ zWJN3BHmPp%Eb&)5i2tDW(Ol)iV%`@YQlg3Eb^IN;+2~0>P<)eH>U&oVz&@GxC{F{G z69K)l*~0~Y?3!TF{4ex%TUf!D`D^@9=G=j4u_3NDs~f9w_NFDj-5>Ag7?eoOv< z|A{8*<=EExdJfGl&m^}(gYmByC)(3HU_nwBWU4O!{ISDSQ4_EnJSFk1x|06;kVpP)$N5zbudJyt7goS; z8UIDx?1s2c2zP$|WrNq|Z?7OP$bd5FFN_iUl;TfC`|-kQQ*2!4zK*6{h}*l~ezc`V zIIq6jnXU8Sco)KHw0Ri({IVzL6-L#>@SAUZ!C2TuG0Jz};6v@fldEFNketXD^~Y#F z(cfGAHJ{-hsSdZwyoZ)@paXx88Ilo~i@$@(47Tv_-xiI#18b&|WR@`o6yoE=s62;-zVw4?lX9>kh|lO^9`;AcZP41Z7Gfq z!j&uJ7oz^r^2le*LoqM%`|8F$BMW{#$yIrnnD-?|y8>Jl=IX4tWz-!L z)-GVGiP(D7jk|U8vHc~oMBHpa2=k%8#z^+GfS}d5Z)*B zeVONfbkf{aYw%#t9jo#f^L`Wqs~uhFO$r{|G4Sue4}T7Mr zJOS}Re_6zG*$j||3nBKeHYB&wwhQrk z&KvqZ>x$)XWzzw~WOG(yeqn#;PRuV{&<#KTG})6D7}J=u0N#ag+kf+s9n?gt4$$-Hd>Bc;HaM29Z1_ZfWg*`G<=5uvK4Cu2 zPt-Hj+zS6R2EYs7j-n6&xfL10qxd09e4K6e#>sQ&jWd*KiC%Zv8w;UV)Q$uB-N(f_ub% z!E)e@!_0wE@0KxubEbQdCxH*AtKtGtfJXd*h*e|dREUOdzvurpR1db!;&Fe%; zkGNky>{mF~_$zoBu-)~VA4I>jyFIsa9_B3ODZY*-S;PIAqkUj63Ju}IkF}TlQTe1y z^-VtXA=v|*3{gG-c(4PwV4|`eJp}&f6Zpx}vo^+A&zmMDn$7d`gLwUU8(uRc=VF&k zplR+irUYw0O50>&Jk#VEQ6%#~fE!63B|DthzuN2HWaV=mP1E;1_{owhEJq~yfC16! zU%zfmtiBnqMhKVv=?`YIZODxS7bFk$>niB`$kz=#5=x-f^ds!4#GZ`#MK}P9Jan&A z75ik=R0MpPt$Sj37Xp>y(2cxMf{UTe)qg^%joZ^%l`iKSqU(o%r^Eqa_>);zn%yje zIDYotANfhx)H^$PYfdpNiF%-3Ju%Qvxd4aLDUlxp=P<%{=l+a3UaCWb@8twcQ}yO? z;sY-`7yLNZUAo;f!eo%BPDtTQm|FqL1ngjpMa;tIjof5 zEd*C8g11-2w`UcJ|IOG4{JtBpZ+3JrIdBnhu9e;c%Xm^AbNgRaBmVjxMIM>^)X#na zy^=YQeZlAFd&yDsvo>Ji`KIv$>?*OfP1Kk#j?)6={rI9Mp6fCQ+UF@Bb1mk5*xAn42Umb)cjPNiU|qQA;9cWl z@zzaWUx#kMzlTn7>PHI!Uk49L;OZ33jgBhuTb6@fdBpbijBhNIg&Kjs;pdnA?cXT` zmurMObf{9*KnSXsqJEG;Hk1qZ#hzD*gtquB-+dPPmN8+eR}IG3rwzj##&hLZ@JyLI z8W~JQu*3X0#7gohCmlR>-~7B9aox(v#9ZyGFXgJfC3ll@iuaEov|q-}4!vOrN9YTa z_E$^{B)&GS{U%rVggZ(>ALZxDGK6^jKIuxf<|;iSC^BKzujysce~9$wCu@`Lb!r4r z8onN_?BENPUbtw&wb1km?=h%(oqBrRHY@@pw%6z3yG-rvJqBJ7`{X8vNT2#o1Dy2y z+g5?jHNN)l)5%obSDT!v4Br!M@O-lH0v{Z&IcwFuW(4v=%Qji(`N_f3NBz(xS$b;* zApdffg@Rx=n#>pJk!Zi;Jw!43l(>KLG|m_PfWfzvJk1x#i=jSm3V40KTvYwSngl-w zKMdz^z2<<=F9oX?4gMIH!OzcfeWUBxCv)$fvp=nuJi=?kfpb))yJ#=mOk2&XApgQR zz3Of*)C~FmGvh)@VlNfLsJ7&<@{M>dT1UT_@Yb*&V;MEy1AZ8MjWbqf5Z8tDZ{=Om zAD=|$IS*|1lboC#a`fUW>k+1Yu&!Q`+g}=$NM@erb|Od5m|8z@6vYQqWJs^ha|fBP zH==ie$NeL>{dFJTJ&f3P^{3&k`?x4a;aOU{=TU!NK<;xV#+z4elp(n*FFY^eYu`|0 zBu!gg`NqRc&Do*{koj^|qRiUIi~K&Tj&E|nApmHpm3^Xc==%DDTk$;RuIO!dGFP1lA^un790AP>l3Oc5w?VD+|Gm72j1PXxT^-^s^5%-e#u;`1>ppG zta-t_Tw^&;!Bz(v8?BOPs#j zE#oNr6+4*JX9V6j-)}#J!Ossq%k6J1#CV3}!$V~6=T^q7{PQspa{scelS6JpUAmSb zlX4S0gT&AK8F?|5XJ=iG7XRDpUvredS*6gB_h_iS>LIv~fqq!y$rB%aFCPif+$MMz z6IrKiVyE0!?8o@{YQEZ;xIXZ30~4KjxMSYcXYnL;6Z7(oQRo?UtCuW&f-lww>m1Y_ zd?m&!Z;B$0r`<+=A8qzW*NzXTd%LmVg`c1I$@T81Q8fnOFN&7D+q!1xf8mQ&ZZzc} zcK*n*l7X_x{IPb(zwA0^RUi7Yv>d*HU z_(6sD`6i8EQ^5tb$f$_Gv3sp7@@9ZYd>r-0oVLu2{TOpBT3_XBXCi&2C4i*q6! z0ao29%|b(Vw!3}hw_MR}hT5mVZ4X0)f~5tAK6CqH^Rm#Q*n*|Q}7G8SA& z27L~I4{9M#Xg3Z1*RKdQk^ewApUVa*e=j>%`-Lswa`Hv%;}H4tj&E4f+p#r5_OPYC z%2D4Y_G9urhTh3NT()6 z^bWPcl}0)#pU$w8dvemJR0`nW*I&+r`q)4GyO}iqhy1?i&J_v_>4*I)S^2WZgVnzr zl&pTPlTkFD_X3;TNcsp?q3@OZi{ae`4{s@w+L}!5 z7po3`vh}4oDNQLc;n4&K^oKZ$=f6*2IH zTqt!7no4J(@0A6>vSGAQg30-YJrl!%VrUWYG(AQjC&l2)%C%=&-q^X1Y{qU<*t2a#~igcbX*>-VNewIW6~#)oy!H9<#`%Xj$@dE_x{tqsKE4BO z=Wjs2nC$Iq`^x+5%TeI>ab9ko4Ygq28T|a$+V?5tP%&3~dz%&*X!H5`@JjHL*-v~r zoOYka3l_W!P~OiJU9(b7K(MEBOh-A;n%x_o?8AAM(iFkZj^OiSjkOZrYv~ELjxXs? zylF`95cm6U&wF z&y67Q@ur&zHFzLsUoyC_Zt4s(@sEENzWmGF+i=5=WM8-BwdOx&co55#e<#=~FYhJv z2nHCvcP7T`H%>*r4)@=lg%2Eih!frNjo&$_*dj*xqTRs_u3GuaI#rNE=3Fu61eR|f zeCV&f7Oy1YxYNkCev}Ji;+zHP6#;7lcv4A6Yd)PJ*~MklN$44tx25h$>MvNX)`{)DHiCC{GuF;zE@zF-CriqTi8_& zwzW`OVCZLL;(XynEqu(f&zb1Q4o%4-M z(0i(MLccgZ&GJ3N)%Q~~Sob(4@cP(xezYfHYvd92TQ#ZzP}p6}?F+b|Bfq2i&z+GQ zW{_wK@|7IVSbo#!TIRP=Wv|Ck|G_ZsLaEEKB<^13MZxRn?RqYAa*mHdvXA;}> z9)f=&xfJBz_EkUk2&xU!4Gz=lr!=5g$yKdIUj{E8W1{H- z)(tc9yvUy04gCTVz_+GcFWltLj}VTeJM#OSb4=cQ-eA8?vw3D>{Q8pZp_(tc=SM+Y z>~!5+63s8QI&|c+2neW$z^N<-%h(Kk0uPJ3C$9*YFDKUrZ;o6j09WG}R-=-Zf@Eh;%qL6&xVeL8`||fA(g>Oto+!`3vX7 zMCLv~M=~=2^;rTnfnO@p3BHoM`-k64&XxQ@IylRWoxDHENBU~76^+!~P;=z>F&?hU zN3RV4Q0wr#$R0X3-(XBYS$F6-Y{2vkSI$nOV9j&(vQmHQ^`5ku?>~Q5BeXldn(duS znY^#O-I1!WA-AbX^BK7#sIC;ST{kjV$h{Uv3B0FC4x|rw+zKg|Yyc4YK0k-@QK#Li z*AT+ko%Lu*Hr-nY2a0V3O+X!9{=>2Q{kR2w9()=V{|ywsP5T!)^as|~HsD?0E%@uW zJmittkG1xeA^kjZDMFjZFE8!lC3jqPDmVt;e!m#5B!gwt zb{mk>#yZsFc&OfEYWdT4tU(qy7aKEikNye$m7w`0zXGq1dH0n&XA3W6ek~W`*Z8yS zP-3j+s{cZ12>jh&J-%YJgFPs+LyY=vW8t@i{L~S7U(x9^pmTul>RuQ57yg4sBx(L6 z(ocJ(Hl@>Y=74kz)AQHWi?|1SWJn^-;f49KSlP>+@XR6W{~lbNefF-wW1SUrJE+dC z4R_=a<23%==dV01=t|-be$ZKaiF-N9y}ldzg<3L~J;q&nc%FmL?+oB)I?fl_{~o_< zNZPfjvU~GXO2CWaKr{G=WW3Ae^tgGsFz0o_tzV(|U$U_PpZyM1r z&UAFeerz7+0CopTPs+-n;4op`KB+N$`TU-qK7?52%Db7Zy?@w`WubRHw^R<*;6d=q zl6^trAnMOpC};Sw`S*Pid6M#Zw!1f@R|&YFzsKJ)?4kPBiMA)Wm1^w?$RxIJ?z!nh z(t{2@jO=02XCe1aJ3Bh|`~ACvj-(R19L@}ImOhx458`Aly}3W07z6Nw-&F%GPCYKa zMSrFAsRv6ws|Ds6SvM^KABN}EOgDPWeFu}nrI(^#<&oN>b2g2H?~VLE$Krp0e+<)W zkI$o!-)DfpHEUuF%rfL4xDPuG{xRuMkGN#;bJ^f$v*wjAgc8m*`H$Qx~>tl;@ufmE9!6xDN5l$lZJ97WMj^1px znVc#^3t&r`*QTHH7_;nTo_B};M)Z8g?j-w3_(+83+b&K%hecku42O<6fyq6QS7dJA z>k+yq%FC0_mCxu>KL7a;s)Be*W7}-)=gtn-UhI09jPZ$*h-uGti;)~Bd#0Mur}=Zg@7QJI z_SGBiSKzmlf4yPSoOzfZt%UkeseFkc*PRk~;puF<2tPk+mL_%2qCRY7uGfxQgU@D} zZX%K2UYV3*)2_&nub-kMH+>NLi*S>`gDn6qZfJM(hryQ75qjlC_&zp9nw57Fti18? zA5!J#b*p2jp0o8lb?$dYUpMDj+D20#UwC(5&(HH#_xpzI)BNpeHjD$6N^&*#j=Y%c zxyIu@#sz#W+)De_9Hg)JBW9bIO6@&2-E)h?k|$%eq+B1{Vz;FMP7_;=}z;I zudIe<#JSnpul08#{l~o2177r^?2{iaVcthPVrJd~@Mu91TX`~1d!L#nsUBX*M|dS| zqY|~x@Q5{`CG2b`eEnFnzpIU2ZqONLd>C`h;4z|Rs)YnUzC29%5sicB$y>hImm!aW zXDWP`o-9W8~oD< zl6_f3p741d|A`(7tXtPi3(?%(pIH>dhF!OC@dGS)o}-*S2keuXEB1Z_wZs9j4fin~ zXN$m(@P>Y2$wKax{XidY8S-;RUlQ<$yKmLX&_1u#-r7fo{@ST`nvWh}=cvz3ab=R2 z<>VwiS1&sfQuI3ptcq3+UuN9@`L~&adH$4{-k@*i@903`UA2K8BfV0iBPa*;?^iMJ z_bG>)=%_F{_++WO)13slR~4@X9~=0fUXhXNPr78NUfDfTdysOh=zL#%gU`q6ypdGO zm)~*O;9ktN*pD)1pu-}Q>W2BgrF_d*Mltj7Qru}qSvbz1?^j}j&-F}7-~X<7f02{E zpU0Vq?W$HsF~1;=(6}n{V%D1u&U1*OH=HkV248wsQrQ%roN!3L#4kl z7<~?WD~)UEOKzZ?)t#EEJ^{=xj6bhd-c$Bl1+C-hAYucNTgDUDoIXO{Z*w>k67Ctv ztoO~fBj8Ev&0mO|1{d;Se%Zyk@V_R#zpr)GuM6`&V?};IK1KId*qfcR?Ck^?~Of{%+sS{334Myn>P)( zj5e+f3oy)B*>#2XiWo25N=#bLzvABS5xv=Mfg zB4Ju&X=bn_12x1wjY7ZBkD}%%2o_-t8i*RjML4RT6oheduuSxla%#Ts7 z&|87wqb*j-)d6?<#Ko!YTVp@Q`SK^>myMb6A6xmMcTMVCkz;vV83}UC`@&uJq>7p5mIYk_xaJ49%6iNSIt3u zsR1wYw5P3{o9qXNu1zIp@Ygn`C2K$5+Pg-%uR*9npSW-^t6@%tPB_Osn=*%&`xH1K zQTvSiy@apw%aaLo0JXjiTUjJuJ##`H{k&szRv|cLNC~w(j_2h^=BnSGsP`;9FW>Ql ze-CpH^Y^z~r2k-G*&+k&eWPbM;6BDBHF?b03 zvD?f?Uz?@=#^+(Q4aS@M#W^}(fj7x(zb21HP%iUnaGn=CoblgCAP(tiTw`fVLZELK^9xnAAX$UMBF!#HXJYK{w$4s2%R2xww=tdXHF7 z@7L(-W4}4(eNd^Av&@kMdSq{m<;0k+T_KU8CvAIcMJyACA^*bungPhu8WP~XZ1B8P z^g}kWEzf$FN%Or;{V15P@9$q3(x*`9PF(XfJkLh-Syu zYr#I~21Uld%)#ptrM+hX-lDrd1}EvtIo#ah(u4!Bq#km-_!xvlo7KlZ+E@1jt5fBi zH$#_aJn{N2o^*6!|CP0ofBE0}0y(>LBzPC+#NUk}jMp(g+DUKf!lk*&^~63|bgvI4 zVjSFtt***bX^Q8C`Tn&gYwoz0axfAOq!Q9LdxNkaW7}#6=r6qYsJAME=FUb%V~1$< zi}`2MLil_4f1Rj#wj}gE0r#=6Mm+69t&Iofeep9*M_!EUS+6B3=M}mG`xH;qKz}6* zz<$>B{;Ou4H-b0Le%EG2=--pViC z&O^TeFFtEc6y3_}qU;*3_MdE~4};yUO)SFLCj&)Yt6a-Z`45k76;b03;6 z8O#eVhTbndTku;-u6ZctWD({|q<`$qV|QYF*5}V{=q+Z4<~%uG@;Adj>3yv254d-w6@eUk&k&vNqa9rXXLCGs1mL=F zp7`iT-MC;Ay5~LiL*%>a-a5xY`bXx155qFhzBz8f2kQPbRsGW7g^DjS9(x4TM8Ch4 zA)KUZ!OG`vodBN*VyvqUBv!72stnSDS&bHHswdLI_qYCd#UhH{q6`Ka!3KZww(Q)U(XW3118-?<9i zK;2-a8{oRtHZ@){(n)zT*k6nMc?ui?2@n?n!W0pwvAdl{Z@Qtsz8KT2X=L2!w|K9r09xD(qy2Vb=ju4@kXW1X;OdC?Vo zOYX&)VbYu^{KU;9SW&24<{0>4U`ubB;Vt^uP~@?~MkC3z5Pf@bAZB*+qBy=@EHsmF zBp1V<%;(zP)Y5(*@c%IHjP%5Q4E~R5QSs8xQy!ca-tQiSuM$%ofP(i8z!cM#ce9sV zP(RF{ay<6&SN?QNC_Uo>v@&kA;8;{c|34gvx9KJ57nA$UBR7Iexw20y@cD7xk3gPC z^5S)n7Xyd#bgNA5{KGs45fxj;QU6}eK zcE(O9sNEvUfeHV0Ddytp%PvjG?k5_L*akJI`{7f zRyrSB$5FF6iSggVpDekArk4%APh~;B1nsczQhe^EkNT5uDNp2;aR)e@qyTsELw)ON zBf3nze=~_~<$X6e5!(nogH6hP{R3QB=D<1@8lta4f8jBAYe#Py6}91TfbmV-VG<9o}wx!V7M z^M!GKN-KKIJA=;-zQI z%hf_}pJQP*D^K`0A8;QNAMAJD6v4$7ZzqyB>!mfVsSo?jtDB|wwXgvC2lvp~6&g{K z8eP8upL`uQj@yS3us2z?q5`$=W_lTYkLP-j>}x;NQhv*@Jk_Bw?+@aF+lDckW1SyM ze7js-`KEAYU)6}A7zRnDj-Z}!qispb6J2T@-an#u4u`(af?RPH;Z(bMANqcKU}IXn z%ArYE6ZU~`fNi$xKa5cSD*Q11Jg(q<&7AHAUqMHfqQlz;YA>JV_qEl0MYjwBjpfs+ z9p1Eu*MQ@Ll$X}SQTvHrR2EM5z}ZRU&4A*Sj_S9zMC(2>HLjEcUu3YKX46A6tpE=3 zTjU&2ciXj}LxSeM%n@`Y)F3mhKOT9 zpL`>!EpSg+C#;0e-3)r=uXEP7I)Uef*GF|{UNrc1GRlH|4+lfwo0L5h@-OeDzvGo5 z`L#@U?N7F~Av3O(4(~Fxr{Y&9s>KgZ5c;RNQ0k(Is>%zfz}S^KB=uIODCK2$@>c${ zbDHqs^4p|I&!bN{?34LD4ZX4k1M~X$(nc0Qm!(oNV|EC>;@M}KXElL88TBqB`p1jU z#QWNKIs**F>hxT?DMho`k8yF|emm*yzJmEh{$5A?l;>YARCS`Iu9_R}>p*e1*hhjt zDLIR};PoLc@#EH1!fm9{Bs?#2k2e<^J9h&#vMob(hwjnZ|1=_-hM*3r_E+fHpQVU zeh7HY6?<>XKIu$r8Q6^HMfPjUWB<=@DV+XVxKHtYA#Vh2&#rVmH4S|hu%E4bluKJU z_YoFCDZtUpe3GTTWYxk|zbVO~YV4abpm!p6`ISw8=(kqb<28pLVBFS7;yS#Z-{i`? zQ`YgeA^kIhYzZx%ee0ZyGvvnV}`?A6Nn}F|- z-{%+D4wLX>qC5FX4k7c=D?@C|$J|Tb7dATQcgv#T41~je3>dd(pT$Do=S3{${UHL< zDKu7pkHuGi^ye_(+|QeeMxp^=a2j#lVibIh;^S%LCA|KS472KD3BGzSL;l70o2GLT zF~2-$_FJv({XErY9~)0*$gLia$BQ4m6MTKGkovq|`JTbYtLJe$g513D67B;yHGYjO z@DmQgoSLDU8{F+m5r;dxdI3Mb3k>|b8%$RI$UryM$@gK8&HSgO$)*0Md&b!b);)~_ z8L9&hj@JGDxNPkY-&opvG|fx)3WqE zQI5$S59zC)H4eOS=!j((<IP|DMR z7VQha7)e||{(dL=#RQ;o+n5mmvQ@6F_zRE4W{||5iqW6N92N9eie41$NHe%_<#}c8 z$N4#lM3#8sNQ~*8y;#rn220{-G;{KL6dGPASXuhsObeOYwk%L{LOl{_0qm&XgAenJ zIhf${i~nO8`uOlU8Pi}QU3ro-?Dn-}0&S_{!iDI2MQu$#C!(>q{tTQ6o-OY$@0I3P zBjcox_ux<2dS2OFHu!pX0`tG2rSFfg z%$hg;)>nCk=P~cIUo<(C;NtmkIS70h$YFhF#ZyD(-oTf_`;}$C<*JU2yjTTZkXN-= z-!k&Bi~+K8@TWl>Od1fX&)Y*+`WEY@TGt#1_|z_->yqS@XSfl6EXrL^l|Rq#w`A2z zwiX-R06H#tmZ3bElxX3(W=_eLoaJKpD5W26vlnrj)Q|!3l3!|@Xd$>}=0!tqXI^{r4Pw7AKZmJe2AQ-o-K&#;t|-I(vL^OL`!KL;4zT0JHzm-ydga^oQ4`bh2D=}okT1!CkwMF*~1 zR(qO$DCPCR|03(J|4R4C>oD)L4tdt3oQzCA)%)9*sNWJirH(9s-?O0$-yo3E1H3+t z^W1jQ{@GNM`WRlC=mYP$w-p$|6Yz=B^Pw;9V^{#qas%(8C~M_eH+nl1ja}fED={(Wg6l(l2b79f}@dv@buJ5KVHw|L1@6{sZF;+_zUJ+KbP| z>R;q8SvdFg*PQ00P~|{YawAZRR$lnvApG#T(Dy+Jt?^5doBH@2(ulFbE#a5o{MY(c z_YCR50Z&Qhu{HR);T-=L@0)xS!(OmTQa%2X7d=NEmM!x8(hs`CLStA)y@Gr&#@_C& zlQiFM=R;f0qBng~qUKgES5`GizaYM_c>(w^9Jt54 z&)ltl8(EPHF9xw6V?ArvB|Gtnk46q(eEj9R(_2s=XTi6^_SAhg*eh|5Ue_CjSJF%$J4!GK`Bh5^zuDJ|@ij++(?J zLWJ@*hqw@)p0cgd!icXSGmx)*23+g3gXsG!nSU%QJ(AjB>)XPL)Wcb4 zl}}xnO59rVZf3If#kk)!$~1g%x(fW39LpYOMAL2l7=@zGaA)%$zCkZVAQxGudeO3q z08loL7awsgvIy@!8+qiNw)d8ogWr0uCJMKH}VQoC)|cWaFCAx z*K_lNv+{ePzla}bQ>^YIJKZp(U$`mu%p7!_KSFY?(=oq1s~?iq>LdEX{Xw+I4N=~Y zRkrpYv@D%pKIF(be8wyI+xUgJ&K9!WgLq$9sCK1=YE(K5NICgvC6 zwe-$V9xU#qeBF-E0^b(B?p^vhY7g_J%EWaS)zgwxr_6AqDqIj6r9D+;#>ElKSvgG$ z4d!Xy#q%QlpYZc@E+`z&3)T5ws#M-2&c){CAsEDGagK zgTq4A#{hq_%=N+Of8m^XrD)+m+y_7TI$}|Ye)kQWzC9cMW2b)SRk^~uKT+(bdHedI zB;SS|u2jr>GWadU7gAxe>Rqp0bw7qZLlg(a<|eCtfAX%;j(Lc9URb6sc8!+%%Fm;- ziT4Y~mL}?6AR9UoaHr$Z$H%;sROpqA8Qi-dkGjLaz7Wp~;?r~7HhI(QhcFmdOVm9G z=9lq|=j>wE{r7zf8KwR5_3<9d!yGL&t?pr(v)vL%i9AnlE~B5@tsa`kivq6?_Fy~s zZ-lFL-C22_&M~TAABipHr{jIkVAv)xWN;DY$`QI>$jl=*q~cpPgx?eKl#K5~WPjJX zN;XNql6$y(AHB=vYM&waMxu+i4-nqz1k72I14X|WAJ5&EVa@?}B>&YdgX@UTfe(Wk zhMRMsSBj2y1^NQ>NPY?;Yre>ig1*lS#J?+x?*08&N%|h$;i&zCS=i&V&muiedD>gA z8sf`-WF`yhvnJ*RYTtD$oF8idK>1&O--3NI4-}YRKJeUUKau()*5Yv?S@to3^WYEV zi*j2cP|gldnGvZyxy{Qe&thbpa6_Xo@87?|MOBv!p364j-`TeH3Httj+}k_Mk4&Hv zf2>rZIfGx_38%iV>mnPvdJ09xeY1qSd-MSAmu!T_ypNB`+ey&TS7H5K6Z=r+JUR4^ zqR-Y}ev&iNn|K|$1N;@{O`b%4UwAbgy=Vf~9=Xsf#os#LSMunQf27iWuJgq`im}#X zOrDa9Ycnlg&zsNHPjmu(ucEt$fTzUs@JM_5G!Hy%%r)})sp2o6>wefv3#R(ItL}NX zJ18ga^T~wzoac{_e_`Lo*YJ-?&V7Bd&h=-DjnM$B4L_ejY(wrgI$HXH8m1%vf?6r_ zN$~lr;l;n!i~hzx>*BuHn2YVAp)(%35wLe-9?iUs=IBqQdL_7y-21t#H+(eT^NZY? z9C4lB4SxgY-|Z^p5!*m)%td;SaY0W60}{+(s-JfXqH^%PHK=YSe&*C?9-5aqVn?7j zCj9yf{F>am`VsR!zvxHB=yTHv`F$yxzitSA#t+PjS(Pjky zc z-uG3ZA$`*$!JlUSYO=TZk6H$$(PUg_dOt=V67Tm1fDZ!>&1vxZ@b>-5a==$|Audl+ zsX7A%7KN&hInz_}M61`uQ+r-eCZQJ(-`^{b(J#h1hi>q*Igur&SLc^R>)L-!&lM5 z0p5&#qU0RV>mv8ii(axv$woiTjec-Ker=)t3`D> z;fqN#a0>C3`c#a(nCO_`TSETvodpgN@13!SJ;6N^SvQRrtRqf=j=6Bmw6JagRAxAo z`9pbx663;!M=ZqnnxUVAKgJ7&z-;aDM4ttJUS?4)r5%P4-#AwJ*{cF{Pq+nqem1hy z0$-j782nsh&Kh;wkY0gfwz4PvVS9%9INJCS|2E&Z3Re9-(vfa)9~b(?q!;OElJd)t zujIX9_fzO~%Sj17uqRIQ*Wg{q{uO@Y37n(f8c0VU6c?TEl|aLRs~EO5g6?x)=}ycq zoRixhMqHbD&V8cx@8Wr3PIFy6FSy;mJJy{v-+}Xn*9Xh?TM^g!T7@qti zk0xLN_Z^-W$v2dMi;Hn?;=n}xJpOL2{aC(cI*j9}-G3I<%PWCD4WD5F^h%}&wd@?G zenaG6IDX~%qzvr`hW++*58aa`+L82jk3c^%TD|U^byiMd-x%f0FN&oz%(2e6VKC43 zY;Eu(I9~|;<*#v$CAFbf@;o&N^Gguo2s@UBNdDQnCVGMR=i4)!e#L7ku}m(NXMR1n z0E^fVio94FfYY1s{boO26ZlEc+VJc&IR4TT3;vkc;k<1rjs5IS8S1NsUMc@O{FaC@ z3?Ek6QMoKvE9*VgKS}v6O&tlQnqE77qcz8dJs->84$BG*`E}@_UkI$*alb&CabnAi zoo_J*vrjHKf;uzs*Uv?Dr}1IR4M0CK`z04c-Jadc3776; zEbV9qM_M#^u)P0<{vvx==n3b~8;6d<2PV2-ML&|>d9PQ-9>m4I?(R-}T!npRqdn8- zGpP$N3KN`&aj-Z2OsdEI^8fi`8*mL9hCUEyKJe_lX&Li-Kc&(yCz5_!hUZ0i&K13= zXyeR^a{zsRJon-Z3MKI$Vcvhpx#TbL{)XxGMU~QgYECYl98gU59|~!y1=0qIr3aTjf~M= zQq23@JK3TZ`jL4+`7u(y&J79JTjJx|_r@&)Y6Bd2wuB|H?Ox{$<#p}y)*gu1Amw^B za#a3RVP*MsM~32g!S&(|o)_^k4vHp;)f;izGy1;J*#6Iq+gV%8y8j#;NCkV1n;YQ2 zl=C1oLb-)wz#Hejqu4OL?_%C(?rQ|*eO{{_K%bcS^sAEYUBV+ZAHLX1|J<5*J~3u> ziOHtjQowiFNCy666nZ|8uCG~y{EIxkP5kH%j{iA1uZ)U_N85+H>(4pLMtwIAGqtBV z(n$CISrU@UkS>{oj?Uihsel5zObJ1T3d;Ye_Jnd&$=S+MpIR|bRbNh#` z!~Kal6F6VSv%&Fig4 zxysl1CPv>=y#jQ9i?3JqyqNbvW#7|k7XCZFe>mJW(0=iEa+EDysRXiVIP#TT&<7og za~$R^&?|Yb=?;G~UkL50D2FB<{xKHNyd9Na2>oCN8@SQ;CEUXLg`!U%KWwHF)Jq&5 z6R3Nr>IvEtV2KdUZT<`w$+=yc9Y&1HeTIH9#vazco=l4`A^3>h<<_D=~_A-@3$| znD$uds123Hg*3fM7JV)NKqulcW;FK6EQ8N_03F7qHIN=$V zhe=`{2Y5={pEu`NF0osxUps%*2?pXm#`%grT{XW^;GnvY&17ob7ld}`m`{Ou(oLibJu5O|ixc-MwHnrj4{g!a)(b~`i{9Rt? zK8n#?VNQVd5>B_M4-)gfytcN(mnr?Iw+zO_HQ8h<+{F7cGvv>?kDRG+4;}^4!|K?m zeBoG{Z>T~~yg`AUo+SE~_f&BETY+$nxsm&iyTCujwR$yvDKMn}5quac=EXAaqAUn6 z*pG2uu;vQz$9TcG&qcpa>%xd@DF*~W2R=XBa$>x|Pv*}L^ds53*_Wl7 zd|$!b$1+#kY&e2 zeg%GhDdxRrFrT&H4}0Mf{`q&V_8uhqtN(m5de8VCUe--}2%TzcPj*M}l(@*UyPNd( z{B|>ypmNl)hrX}<1jUB*g&v1)z(9w1yqAF;j+q7CAq<6%|0ELEQ?fs61NGiT|cv+|86 z#%PayXq@K87Tq+23+@G81?u8^G!Iao!=^mxjcZtJQGbrRN#7^qp=0x6{A0N2k@4VH zHD$n$5v%&o!2nwO)iEHNzM+Ql+m5UDn zyViA2hhWuJ!B4hu!DmtxVtH}G(j?WJ*1}iD`H(Hq%B%P`PPpvvjsbuKJ=^oXnI7Oe z{r8kW;p2~TOd!@1^Oi+uU*Sm?og24=sb1e_BEc>6OLyq|a^FLKpVugJa11erf62Fz znzIH!S@xHm;ft`TzjP_)70J)dzhp2!>lOZ8_5vv;?ag)cqqm_9%zI@>Pph@N`aApE zNDsiD+cT*_`24T7dpRlpX^2TV(92Eq4fm5(%{Qb+qFj{r5m)qENTlMB^$pRSctEKyHES;-u-AOftH_F?Q=Knu}!EgeK46r(Dx0T%b8Jbgj3~% zdqwmk<2t|MPBOjY9M|2u26LW|T*@G}DSeR}P5xN-K3|wk8<^MlB2jsm&%LM?j#-z9 z%I9}QuJ{`BO!4{MgBqB4`1y}8m&(dV{7m-45=r^m*3w^9jCr4X2oSn&Fg`aAXm<`C(DKNceUwOUQ!lS2(~QDnI6pS-|_5#0>= z7q~wg?{N=Mj$}Iv;cd5m+qy`}t}Rfo|p#tU@JFMREY!~7yS#t85(7}U4N zim<&iPsY5@{TLgEpa(|;iOZr#jvbq=`<03C!?4f1o}cPSXI~jR_##%b^c6r$jeBR)@33vQ%1zX~<7_W| zj_bzLeZ~O1Qgy6RxdhuBHv6}g10P^Z z*p7}^3!akfQ%=FBT?G!g$w8X)sNzVNBC)^)?*iM^&=yI=bw)odYAdvRuS&04ql*UPa{aL{V_W?IoG%MmzXMN6 z@;uE;4ADv4-RZ^_294Ng-fCN>o)7*`dM;t!XZ&d50+Z%0`xhFP+91}PizLP?hxYfT z`P<=0$xJ25kv310e!UfrUg~qjeMI`HvVE1Of}Ep#Khakvy5gAofk*sBvHKkr8yc|G@k0s^m$ZQ6cpGH$P$FRT84}06r(e&z>Ak+)L4| zJ)VOuQGYFi{|xD+)3zZ2stZP7FTwftpYi#F|9tI`T#^{n;F|{fPMw4^oaRzZ5 z;o=2va^m8V{XwODB#x?Y;C#VSt>SXKBuW96brbdgvJZtm+6e1&j}yp?$wjWv5WQuo znJ#rhv-H3~%~M@A(;5RegH{oGPv7mL=i}-ynh2RCKYSu}y`FupM!ghy->oi!pPF;( zO-bj|x!?~l$K$q@aIhbLHbHdjXZG28PkndM=n7ER5$ICb8hq#3-K4z_;6w;lqE?9^ zao@LY#BmC%Wi}+b%GFHearw2QUzuaI!bE~kjK%qa8gI+NtEz`!Ki7zjVwb&jKChgr z{3q~~e24cY)VwF*Qy3tKa}ik5gw)N@KvtVf0yGt#i9Uv~W+x zqR&F+>1y{3xhJ%+C&}|PN1r&4g--qy%AEd)Pyz;g{I*tZr92`B&A+e2J%s0qqprH& z-T@9e2TkGkhN=j%_dVlqY{8DTff?Gv+b~*q=u5k0%e-s_-7$cJr`NowkZYrGU*!J8 zd50}@C;{N7@{_4D9{A7uB#-5}*8L50YAvcXra(y)Y_I?+t^x3$G@BLX7SYs>GJ^Os^X; z{DH;2vLE*md>=r)_H7Q?a?B!ol*_%qZ(^Tr6XeS=uy;6vd?g2ftB%oo5_~RPAG#lN zocO4`1L!{6T#s6GuYN3&VB>HO@yR8wv%eL6%MhQ%z#8&(yx)|me)3!1gqE2KArFGo z7l1jX6Z?6?E7M8*!qqsBh0DDky)cmHbEn49Chr;-{z||=lCB@$~*hkM0Ie@xagB_NR9%2w&0kfAGe{0ZWHzb z+1DqjA2&2j=ev>ckD(`WYFGksjI?HipK@IPN>hFg?s?MdGuV^FSN{t8WCp|%xJK{^ zcY@w5z3TAYk3cMS&Qfsd`C_--LKm5f3x6`}ao>IuN^n_@sk;($3im0Vbf8u!oH>ZT z6y`DZ2y!ECPrFa0&jolpvTwZ&KmSFaNp7EID32o#`z9_1Lx1NFz-cu_u9)#Zjo(6l z!Et5=U zi_!b_m{@|F6h)6Ww8!pPwDyVEjgslO46dma%IA;|KBm>z zkD(t?Th{n#uHMr-MGOD^VO9WfKgOh5@KvvXV0#jLBK+rfkAN2gyP;i~Tf(1SG@^#) zYP_ARY@)FC# z2anpziSJ5`9eL^Jx5v9t^>*8q{IkYJ{I{0|WNO|F{V!(jljwuo49EM&VIR$Y{X+%P z&#@c%HQ<`;nw|Bg4Nvwqd*cWCG52I1OV#J2zZdO-4&TBxLAcIo9)7}6^~V0}6=U~1 z!e_&N+_s*|2|p39zG(kw>5cvoJ|*RH+&5&8a0Ogct6UdX_~M0&@QXi*pXh0*auHg& zYfn?>+QdB`_EWJ(KPjI4ng1P;Cq0+T>rWvE#^vlu(%wIBAK}yfw-Wh%@o`&| zcU=%>(-TAweLKk_I(oN9`3C28TcSrsauY?PX(GRn?Ss`9V6jsDG|huJ7So`LJ=t1K z^}3J!+7$L>H|VZ;P;iqN^Si$&MtS$4H;gH4zgiYe1Kk18$Ow@4Xkt(FG-0mV`x1OA zVC*ipGf^6@yY^SmtHtN@#4+MCn+vYEaK_$`CyV!&OR}8<#8>=sANt(*1uz8sVdk56 z$yGk&hMUIV72GUdovl z_PY!WqrN{v(3^w&3kqN&_NGW~B)w9U_J1N@DRax%NRocrT2`vB*O@?VVf3l}F^kX! zhTrj`!Tmh9=i%JtK+U-jVocY}Eq?T~6z#n-go7IHR?4NZp>O#`H7HZR&T{RDaWPJH za1Jnt5%;kIF%acTP9QHAeVP|G_dfNzHwCth^W4>MlK6do0`FCH1#s;*LEiUhpP)U! zU;0UJeXMOdm1pD6Xp`pPJUoeUj010CKgNs4Z0MET3krXEvKaP?4dGp%t3_KF5VsdS z+}yA8$d4qC&>6j)46^^tjX0i=2tPlqLNNa}{3juJ!U|o)M{L(CUHd{-fKMU6?_DF9 z!Swsm332FxOW=2}VWA3n>_;%34Xuwko(HTwUi#;}oIvx>BOvq;_jxRGdK{jtewQ%J zuUv?G-dni<_;qOa?6}m*TIP%i*UggaJT%mzU+>^T^(jI>6i&vB(Rx1_8${dC-{THH zjP%|6dJtpWYwiI@iZ9d^^Mr4|@4U16FlR?AH}Xo1=FMYD&lhkzwl4yJU`&8;k%o4} z{SknJ+BiQ<+*^oyx%4F-&sN`4(irL68UVim*L|%268;o6NcaTMeAK>9xsF}|q=lyW zMCu-Y4_#;#L67$isCOnJbLHb_5?nti@M``F^S@!`kiJDhh z(N=q^vSMYAU_UUHSdJN34}HS$NjNPqQ%w#OObL>?>vA(Qor;Ge`pOuc&ofFK`H~^c(ie@@ zSLW^V+=_o^pPsdee&(Xb-~Ff=bJU)`GWG*I|7MdLp;fxpdGN=^BbK*!LMB}YZff>D zC*s%DDm*V7V{n*jq69H;=NspE-GTn5x_5CCIqI!FKjS7z?&mCgF~Z@U;zgiRKE33g zpg(W)GBdv+scSl2bd*+XNNl$sozY~Nv_~$K1+i8?=_kB{%Goo_;S!@+wCdjjbjTa<6`t-}*@^i%FH z`*pPDkrxKhS>|_DwNkDe_?E)oDYPTdK5AN;K_3NYX8(R?0X`$)_v~pa9FV%{;7oGi3b=!U>-wxva&I${v-_M4 z4x5A2=Yk#`@wL4hqjTSHF2r%Lhv8u~7y;HYzo0J(d+d=9QYex+WA&nlV@MANkou3e zz|Vs^zHP&;Xg2DjpSGPK`%{|^*~+b+anX>T3(R$lZC{OZSbS$T{^ZFuif>*St+?2} zvOCS<{LMidx`k=$-ib`A$IrpPP6YROzlF_lZ({!cCG^0cM&LMp-m*VF6RCU3XWr8H zSg?1J_D6mTUq1^X;0|-m@%Z=zV(e9;y?)x8WlpDYsFhg_zq9B@7d$mr)XPjefs6cN z)p$B;eQNa&=!aw6$bbdKhWIUd*b(;)m`}owg4p;jiDHCI17JM9h zZM{7oc`+%PylSwWecfVky*M9d9j3Zi^Wf6Gla=&Iy1wvGu1bQv<|N|s^xk{iSvY!s z?uw?x>D&L9y)%|DJ)!XMx&eI4^|X)3D+1#&{WR`V%z<5Gk^GN6e8$pG{;NrQ?waIK z9R_nZj-Z~n(DcWAB|PNiF{)cu94WceeB^G#r@k{%dMB35$tA8;?rgqk2$wUYhP)s4 z!FMS4uEsv1_gw!Jq(0h*;93;*7~Sq8@-L8QqxZu9z1kzqn%=`RWeVb=Re+@=*y2k`s@YVJ$pF3fn+=~VGOGXE9shQ8u z^(|r1=&yvIFu0LF&5&Z05<~iCJl*y4mQsl@rL3)38$F;5F#6kx)-(9u#YCVo-25H; z-;NC2{Pl|A#``q*Bczt8gOA=P{+gscA$8OB+I+ZMUc|rr=yFCGpZW{abVTdeS8_o06kZh4U8uIqCMp3=p2j?3;BgIn%Uc=okRg63%(MJVU@ zhzlXD^Znd&VS1jx=L(fPv3t2m%7Fq;G9LSuc2PtP`Qi)xNb>)Ot#m$bG=Y!`>skCJ zOM89aU_XYS@xEaA`*D0wu!$V_f|Tz^2NAm%8eU@5VxjY>oAyoAsU)1%=W8;x_js-o zDfSW^S;n;di9I9>)i_@sbMCS@Qu~fBdDBaL>=wx^`_a08adlUI-5<5Zx4j1QKFbKl7rP1v_PUWSeF;?);2*=7neb1s zA$%+3D`hW!I7aq{{g>nZ%DqI36UE0jp^-QB;+*_9$bUiy?4FfJ$511+v%wU}rIkIH zq`FC<53PqjJtzlUOnfe^>XswWk1AaUCwm#{Hu{7jXD0nnSB)>B7uIZoTmly<4iBT+ z_&E4}2vQERw-sIfcTvu%T^{0}eGzLfKI^%?(F+ch`1;HAOO(K;39GV=|v@05GIQw~XN@XZ+Vz`Ps`9bfvvKaZu0z{&J+ z7%6!NB_l z{S%U-ziS+Snb&e@g$%OqhMRGx7~&YrW_-W+m}}>R=LP@&M%%oofPE}|<7orV+sJnC z@q@D)RybMu%*Me#h<5js#y*Hu zALHX2MiCoN%f%?qcy$2PgbbfO%0gUkd;&Q)>Azi%Jt_V#+ZFp{o-aR)p$J?%u0zKc zu1lL(63&$KNZ|r*9fI?;5**6#_u7td`NhUNm%0mZ^p+t!;72v6BZRKae;_Z$MeqN5 zD@X8NknXk5JF3t3c4g^fxsj1bY-@dYr;Yag6r)#==cSeZ^H~=f{Q4;V8gm~PWlRbZ ze&Y8}&HDGp^CHjvU>Efx{1iqf8&`FI{pUpaJh{A1q2W(D?EM^kZ`qG_L;ni{(!m?& z>v7=+E9DtNuM}Smo);T2l3X<0FjkNA!+wl~_emx?wx&#-b0vP7&$lZvWbQc+u8Q=O zRZ_kARHpK6ra2MQep_D!ZMcRHyN1L|KcofQUmc;5l z@P}&#u5+D?D+v>817x`XFz>xz)up@|1_tV+w_*9G^v89sC-szoL&1L+H%uPwk1X zu@9H!(YMT9NpRMEX?C>gLu2A7gag;EHw^JzcZ-od{?RfcRWJSCLM;GddHMyoN(>nO zV3PBHSay!|q`jD0+Bb}So!rL?VoCJj#UqKic{lgu(H#%`2_GYg*DNVF8XLcwfIeVRz;aD4o9tu4vgsZp$QPs+t9p9g$t z;R+luE05`N5OIrrHNOPSM-PvnLexnGJb+$_9;q5exb$akDn!2+IQwJkO`>SH4-&dY zX@BW2MDc7W!g(Wkhppg^^MbzC1mQh2@19MzSf>r!dC_1l!lTp3zwqMVfQf$Ji;H4= zf11n-CFEZW*iZgW$9{}~)txG7u9dQsL$%n6*fx3{IthOq2Yen%*7(OCjS7sq<%U&n z=NqND?g!p>x?Wv=k5s@^X)(j&giUYzP6KJireu=v^*S$~-JL=GKIyjEP?$(>wz z&^cF|c#mEY^NaLEcXgHg-NJI|%JGj()?DL>yT%^mHJ!$1Xur{B^w|B@KWgT|Z0)DI z0?sS*se3|CU}HrMvwYqSaE%!I->>ZyT8??<^*;FdxftS*4-Ew9_m>t)dM`{XM>X&o zC~lKL{2E!i61)lKqSwhc4r6*+@jH0q3{HK6{5k6ekAq40sZ*_#<2b#a_NlzKC&n^Y zIGRV9UqJwxlyj~IqSjT^H+?iw_igLj zlEi2xfkVJ^+@o0HYfPWo1qSF_{bS~ug$q-$7j!8eY|fkMeM2;R)sIjv@@*I8k>EbY zzOFA5CrbaV*Z35Q`lj64b;r^7%0f4gLlEc zr$q1@;37!-KEb4Y3L$>NHM9Bhl@ZTC?K1AA=e`a7g}B)$k4$O>OuNl#M*=1A@43iJ zAl3bcRicTuGfyw@s=<4tN$}?|W+)@gn;KvZG4IDz;n^JBoJNvEn~M7w)18P^I>8U3Y+Y`VQmxVmI6nx)}cc3v? z*wq|uA&%`|KM&po@E8$)hboW8?56(p#M1l=-@Dm=v;)1LFdLFIqMk}~jb2EDEM*Z6PPUTqfiQbC7VQ@do zdVK#Fb3U?t0CDVSTuq~C6At#n$-eKIzq32p-*FFc8LkRK}JJ_a0!RT}om%=rR;LHa2M7aPJ` zyJN3?Fz^ksKISzO`()0sYz`HklQVK*7noDfwzlRBaNkemxw*(i_X6YK^F$!EZ0lqK ztpr58yM~;@xQ~fX??be_SL)kj(^`yq%hM7`>eRsV5bi4SFLG{T4&eN6oA-Id^}VUR zlgN!<=mUJH%1b16&nN0V>JMwGjRSXIv|0KS+8W>zeY+OP%c};a?0@Ubw9sYt8BGjR z{dIZ}@#B3qy^QuMweCl((~PZTPaV)teXqzu-Tvv};hEb_&d=l1qBU=i`@i(rue@$t zK)vb8*U{AH)X?=A;Dz&k!)@$_~2_1_2 zmixYdPm&kMuiKK$@AoSUAAEZ;-b4H%JJXhU?fOq=8bm>*rDau_&d8QX45$V$XzmgSkNrU)?TG=OvG!Z?F;=#_{Yaz8SHnc zkm*j`i}U1=jm+c!q@w?n56I?D#If2#Ug&+{{{Xu16JT54oh~rK*#B`PQuZ%p(3iyT zr^*g##A~MJ-s$QS`o&B40Zs|(6WHM=dGZC$>GTzIPdks+y+*VC>Qm}urfD45M4p@b z)yjf@Jsx(-8_+A|`TE>}%HyD(HUYW?&u{DeDVpzP=fPoSZtqw(-Gh#-E&1@Uae3Bpbc#*KMjj1p?>(Q?)$l)n0SIoA`ysPl_d9 zJa>y4#A?q; zhp$h3(2a`?!Qbt2AV3wXIPb(>7P!+VAN{EY`$RjARxZyPH+lg4c=@@tCAa5``?~P@ z2Dy^Na~`DWz4b{l{V98xyT*Dfp8is46TOE^6_u|h~rhiZ?{+79r{ak4xr3)Cb$J` z+h)h>x%~?LdAD~X>3PGD9`x?<#cZhCb;2G`hDg|&RBo!-dcsu{C)EG!_AY_@9XHOIk)by z`s?i{D7V+SP&xT|W|H2@C4urD8GFGjx$>T_5%eefGW(&wgt@~lrkG^SLY95%B)~uh)yzy{gkF8mtREL)O)Q zM<|bbjW^xlAJ-n_@)3w`R5M-ghnQbbKhr1%dqD9ajPsLR$MfpY*%|QEel%5LLFz4d z7jVCC|2v+xqV`}LdQG~lIX(JrN-j-n&rM~;hV<$-t}T7JmdkigA9?(?y#Fvt2fihF z63!|3>la;hBgu^vqV%LgE#OsNX z&gEzl51jqYgci>h6XE|A{+v~T!FaKw@W-Tli=ZI<=)y0s3M&0Mlo5Zm|A2mk^>=a6 zGdnr2p1|MyKmHi!_g}$in{yC0V?pVGeU$_cgYl1_?#^h}ym5VV0oYboahgCW?M)NJFT*S|^CMS$Q@2EJW z^+dXZ3;6LZ$;u4`&rj-Wlc$ zE(uoNz_Y8y00z=tilAN?7iYn5nKT_q!1bvz-)DAC*ZuHZFY3lcqHoP~f_oTZ{KyG` z(L>eJX*wG%yNuR8?2n#Q1%u$6|Hs~&hv#@l>%SsFP{fd!YMvAG6p_TUP!Tm{L?V${ zB8fz15}DpNC`wUtQA(?&hEg@pGd0AJAchDy$9WpdQ|J-uqP$H)G=vR5P{vsNN&Z)$_{Z#ZX zQfC}S-YfI+f3(!R>aqmUmA(1KL>#+(dhS&Ns;Sp&lAzb({I;cG>Staswp=G$W-tf% z_+U5Mdb-g|n@#no5dz&?&o$F!*f25<_a9Yf0pJnWS^^QIwtgex(c zix}lcN71GYL=HLEuIo85Z%}9912LoBCpbT*@LCjFpF+6$1R?wRzqjz=C6CQ zw$NL0j6C>bn3nV}-jGWh%aVW?xoI$N=iO8r5**oXrRhor7@E4g^o4wQQ&wfX<`kTB(wx0TVT3KsjKvL-B`0p+w`nq8$=QQ^WX_qMiv9)e=@ZZ^ z%g?E!1wk!5*767N`fR|92M=j$8XG<@8Jru?Z9ATq49dq|mvd%YpYkTRWi`5=b}wah zg=@ep7rm~UTMKu@)+S5!DHl4?ZRU6$j-=kKkHYi9S%fLbE9JSwrtuWd3%y7$;x**` z^mJm5XV=83gs$~%G;&gTtnFwd5yw(TV$Q()ktTLimFF`wRC5Du-F5y~KatKM52-GA zbzw? z&FCxl)tr@?+RqG1)BMMMw+*bhD^zGTm7aa}_l8B|V?-~zY(uu@uz03WUp8u4dD37W ze2&Au5_N6?u3NZ(yEIsiJU*-k{hd-Z_b3$eF|G%$<9^}X(o##+%UC25u((5GJ~z>p zWh{`qYH%*>!-eoCGuIUL1XKKeUNTnq0|{lur!08ObR($5fAl#}PyEFV7n@b*w6!;3 z+7Yw-0`ycY_&yX}&i}n-Sn(S1NDQH!pViFUUv!tJZSsU;=$w?NoPzDa%JW12VnR%* zPp$EykNv1I<_U-yHs!>tULn?>wg4#LH9Ak{AB!V}?>lr$F2%E9bY78Rb>^FZyO}nc z6Z|w&=Tpl(iPvc9Z349}wQ$fpB6sAAVX(8yI+Zv^z4o?_l9SeFeuD1duAr{qJ!I%r zLlNLuw(KlS!7>dXOn;E(O#y829->fdff zD*qGxi}1esM~QA@QyBO#i~A+_$NZXoHj~?BlO5#1ug&=ea}5vVL${3_fw`BEM}hXN z=$5zUn072RghR03MR~%}*7ODI`8={Hix*{noz>rk`|=`U!W;YpP6yVs&Bt9gI4^Jf zuJOcc_IX8KbPSZ^$MDCC!9Hm!feP~D(Ji=NpbHtXCrSO50Y0in89bE=a4g=A4kf{t zJG;~Jp8x_j5~-Wq@W?4f`!*8ii{u-hxND@ij9=Y-m7Uh36QPUe9D_Q(Y;?R z(9!dLa;C}*g!$f%mf;`2$>7^@FyU@zYQ_O0yR#`0bNLQ=|LT*A4e?oHp2y?9!NR>X4h?#_wCeR0n<$gx|=3)rj1M8@!)$2rM4OE%%e>20A;$Cmp=%7ho& z;Iy0iNiiQQg}<(4fmwN|){eqk$+Aq=T;=}J$_b)7>PIe(QI1B8g`lw4o*`?e6mOq`KRNasF(q&D~wz=aPQYNmvR`}&?d7f&xaziqR>ppW;Ae}1m(SYrFRXja&{>KQ?$uY;zrl{**s$6XwU(pY@(Q<^s`gXCkLGMLsd6af!9Rv>=Xu zsR5o6wuswSj?31(*1cB@S1c;u!sj6To=3srS02^The~A7T52%%zR>{})sOfiADR0T z@RWEDmo~mLA=d77t*7v%F?iVnIv&mskG^I!X0WLhcp+l}7@g^*bK>xHnbSMsc`b9| zmC%oI5b0uYZ8<;CA6(59SUkZ0@*_9m-f$jsE~%ZnaHn_HKu!v_p;3Xcl3$#CJ(uD{ zI9_5rdJISHjvdXN!{77H=cJ!I<$3}%pPG8+$;D6!spk{sb3Ej%0Y9C{aAZ=MZo54^;`-Y+DTdh&y4ftAkNQWNQG_94M9+EE(H0)yYi4cOyk zaA2crxN;b$1`w}JrdF$hl<9E7$F{1~|_+Zr9e4fT{UB{#g=jMEg-ZE1Fow zaKGbiV+s$pTgB?nd9FWwgmHbwdovYtUhW|L`A{Tg9u1}+f5B!cG*|su*5ic>bfg#Z zGOcRyl$Fjqtl7B8l6JyI*KF4VAK_nkzR7d5!BKKfU=&TWP3k=a;Aa9PjIDa4V zr;{iI4?88QpFMND*7--A^uEXoQy%$aJeL7($^SY{bC^*V`Et-}JW%0>+-r zDKI2|C=$6U-9bWKA4Z>Z43)!JiesY3S{+R*Crox)>fT<^;=JYI--^FWgVSzwd_i zTta2c$ye@q?$;H(fA((~{seXKrBB--2mK8OZbqc=*w(Df)#pfqn}+0xO|l`G|Du2S z3-ZzP-ky4$KLC$_u{H1Q^}PMHs`eF@;DNFXc}hpgIZbd+AY7du-Wd~h4iJ6SIDkBz zz2GHO;XtU>(6K@19ndF{jxzWE)A5o+n|l#@{`CL~eilYd)3Zjt80)cIHmA`l25_E= z)ZE6&q`Loi;HM!E_HBO);qBNYDpzOe!7Lig+>LMZ4bBNLzRe+y+uVk_Rpi%SdD9VK zl|HmARX^Tb7p+%nS`#Q$3;K4*qQ=ud`=mqv&iZk1b4NPEk#Th_`E#64jq8R#`?zaH zlE@rFywum$5nSXARlkZmk)h{&vImtQuF3h6B-Q1%@ez)$Uxlgqyy_LIzUr#(^c{kL zk6<1m&%u-!;gPi)oJ;p_c)+SzY}heasg)gJtAELUpjq=;zVT6B$c+#h0)KkODrXuY z4< z$}bMZd<;1*pM7d3Pv-va=}nA58M!%0=V>n{C5_4xQxj>GjI^4;?2 z#peL!4~`_Hz_>eYM~<=tDq%m`l7nb$h}S8fVZR^8xv}A%>U*gdsB_QC4g}R(;~LGY z2@iQd<5bN@`>vzzXYjrrKmD%ep!A8VyDq$99D*(T`#A~9Q~uIl@a?`uO6xDtGHBbRAyoSiVQu+>|NTdeXT$$hVys=mArtt9s_@s9**jsfc0VI~TLKC@Q)tH$S_u9%j& z7yAy*m97=8y1oNrb&elWW-zw7`ffMM+lxE)cs-fJcfVEMU%cwA`{lDq>aVU9t(>a- zJBIi=!@z;Y8hX`yf0Fp@``~dN!v$F@2T4ssgaK=}jIv+?2 z6rN0II|l-F5+l88#F(OQgHs79L5r3*>7@147;r;b&wps5awA;|4N&q|-rJd=KAKhj z%D0<{d_HbWuZ^eo?zJ0^a_X!3UO$Iv9)L6Q#OL0B{w4Ys$+LKix(MT=-%p@_;XOO{ zmBN{ew^0A!OZYjN7t$n~u5+DpBH#F`{l#{P=wBxD9^gf=@@1TTWRA7h$dmx?0 z4Lw!G)o-fm|1Nrv1M^ouO(K@3;%H7KdP;T9wGDGs^es`n9X=%GZ z8EGqelC|hR_}HJ{+L0DAhy?wM@PW1Ut_NB-42dl zbGiPs47t6)7JnF#OHgsydWDUrMzg=!?(G468tc7F;)N%Zal&7DZ+IVtgR&u#(9Qnp z2rl^q_LF~f(*S1X>X~CU#OL&Ii!99xgTDjg?{JIAK;>rKx7R)_tD3&gsD~vl(X*rK zX=h9#mPbZFuONI+@cDN`5V`nxg8FZ_`H8O7Y7%%ch!-pBHePdL9y$?z>RoHB4Wm%@ zyAMtlp2wyOY5MiA;Cx}DS{kW7s5Fu!Ps-7P{%QqCH z-RQ^p=Gb4MOu3o!r6+NjdmMaA=8P^teIs@3Y!Bh`RQRC0FZK4JUFm3WEvBkY5d90= z{hC<23nwbA?mBzz`h)d{bF0Vhmlthd*ewGzY++H^Rqe$X0hC$bJyBQ`M;Ei8IT-B$q z&BS_)R$rTyn>7!B(4q)wmCN*e|$WpynJ{mWte2*25$_u0o#$6fL=2iYcS9{ju*$(tGky*cy2Tb#OUyyJ7C zn;qHq-SWd(cQf($xnK2`@L$o^sW zA?OP%FYF(TdQ8qw-&E=vG%hDI(TmP|;|YT6LAXwBtW=+KGeJ1W*L#}ilz^WL43--P zz`wss=4xSDcf1{|JPg}1gL4>r=DF$5`&d14!k}_DuJ^AvcVt>`YQaGQc}e8JgSvni zop(IBZAeaIt%+m;KiV~SjPRs?!d&e-W470tm0vtFm>S|>@x{J!Jl4(C!H?j5*<VpiQZv7QaCG2_toQ)>4xQ|LpHb4s2>|x ziX)}pjb2FV%V`*;ds@tsIUn;yew=cAz|Ru9*!z4#^n9msv~K=Am?m%l+*ltPGjDvy z<>yO{narsxa#3E!CTqI7=)!ZCWm(FZ*wl%*O*r#lJPA%={W$s>GS>C?3XK=MFSCv! zwqtboz*9L=(8GkTDd-uGegIpucQr9juFm=2&62b~*yKYz9U5jol};kxX3|I4?_Ug9 zKfkxT+^0Wa{=s?nJNIGF-ubw1o7L!FfWz8Zxx}~wx!Vpe>?=8!Dja+0Y@DdkzB;#s z&Kb7IpwvQV3TA+6qx!^soAHa8?D>t4bW%>{xeS7xWAU1(G|kDqS1kA8FzjF0Z`bhN z1loo9W!ltidVo3o{2Jhmvmc?3r|J*-C&=?K^#-_RyzV`fM_hIlhNX%R?a3T3vO-YS z!51ks2zYe^`jCcB|;;fAVBxYlc_0m?IJUnaV?m8ab3 z7IU*KZH0?ig8hr+UqxWQ&-48*Nt#OrUYO=F6dBxo?}MIb1Q*b=#%P{duRPTkT`Jc% zZw;0@{^{!+)sY8{C+1;y=xo-yIu-L|#D~;a;!lOZjD+Oosh{!3NMd|l>;UMLU|)8# zEH)(1Xoro~rOmU5F)499y<`u$YknZH&*yG;2hFi`tS%h1!UHLKU$zJL61-xoU2*EO zy&bRl?H#WhqN9X9st7!w?(u%2&*%%i^2Z$fS!X;w!LhWW74m*KcM|i(C;+r8&&0kG zJA@jG;4%=>O0M0I3t zS!hTONw+AvhjJ*pCAjne#NWH59P#t{<^GqQ9@1~5gX>YmW3C%M)Qy1%9^hT{LXclb zC?Umn`{%yy%HKf$BG0?#vBWmECphuzvQcVn)rLf z=TOx}_g3lkbuV5yk9bR9JI6_R*vB#m^oc!Re3Pa=nU}?e=;yI7f~sTRch=D)d$P0H zG#NONvOeItG5~F;r{)F6B+xjFWt-dO5kA|!QfVG}i~%|GGw27|uYbjho&rN!!zGpS zAQyiTVWqmXL5Z~6yYHCnWc2%-GwgoVaQp^fK-|xj_(2{RPJ$7t6iAf?@Kizfxi8#Q zSC(K)y-&4n^$_~xaL8QmeAZhzZUd8)A9FfZ=6~T$i;TtWkBG!vmT#y7W5^S4yOmEK z%|I~pd+hmzCysq(BaHo;AsozS3CcT<^waq~?icCH%OZ4MV~;#JF0|3V2seFtGC|${ z$7bj)fj9Myei=!OBVD};{(Uw+f=9LwW8IZ*7KCl!a_i%9%A0tRrTdl7E*ZmZkLuD?T2R#hSuj8vH%JZy6UM#))^5|5jPT;{p|K>8}p20pbufg?c3b6BA zp{EyKTKiGTMPD6Cpm8(~YUM(_mfE(cKK0;$w_12EG9MYa2cH3iyk=zv4d#Ymdz$1I zh2JkW@(@4d)NHEqi(gL=ec?#(4{9Jrb6~R++Q7ba+%LRWoE(xsEgA3&-J=pW=wI=Ar>yj%dB9->l%{B3Yi%W*^%cJ*5UUM`^)b;q6DJ`Q7(7<|0(wi~==>d~ za|M?G&F89AW{6HK#f_Hbo_Y26^?C%=O^umJX4Uz9(3^M--1Z3iUtX9rjn(tf^QMu8 z@poV3y-Hv4_h`|%_O(Qg0NRx=ypco6fMD!jDgo%Rv>=Caxbf{Up0Z$Qv8ih&UW@O= z{^cefpIcFntp+!ApOgOi#?vDS>gJT@b|&gw{Nkwf-8+WlSfn5y8RLYI3z^E5d*i8o zHt^KM|7q)>yn)}Uk?5yGQk2I=_PRGdFj3F{_;>=&6&C($2G73=en!980k5>PA3ek6 z9soTI)7sk|icmgMp%cM1@ATu8Fv;z>=$lN8r5XP-@)y_#cOQBL=9kPQ^&i)Yq8#QV zeF8lUY{MNc!v_scQ`$S+=K>VSH-swze=W9n-}k&9Or0295bi_FiCrCAYRp2c&hbmo zk5#XNm5{aQgS!vOQr`8gj>PeeX?_vPCk+dtsZt1BGp>Ro_JwB@oy`k+{199|sK^p_ z%}l3DpANe0=K`KM8|9{XC>O2*`WGJLEb*ac$aT0-Zz^?R@O95n?Pr_1(_1_Tnm0_O z5ZHeo9E>4A$0FM;&DEdZloCTY+n6UKEh)c#0O~9b8bLhanuhO-p=e9`A-d6CAUr4VC6J|Zji zkG)P1J;ESIPdmY^7e#p!IL}>AhvC|{5{FZ0mOE^O!!}!5XIsFxFWiEbV zhFSe&S90r$jJz6#}>ppB?JT+$_M4Z3o!DEjld9lmk?*$-aO$X$V{n8Gb zJ%k z={~C84#55ec&D$Ub#epHsK` zdd}x!?@$_Pc*XV+KEc_0=~53}?Ukl=WY@dGwVsUrMPxopCr~dgj0R?t@ZNVP6WYgl zSF3x9e)DAO1Pa5x;v)Kp2*~JeqfX)R)%(~~lHAizy~v4$Y&c&KD_**0sFgfttD}G6 z9ODYuSL*!Ys=+z7vyPgTH}4cqml#jEJV1N`mD0yzlYRr9QeU1=W!*72)gtMrjqV{a zSM`6n`^GF+FPg@I2w#9dD0?&qLN(HIW>ff)xn6@0uf^kj6~4=~S3l0tiK_oz8(*$R zFE9#m|L?}$O86(Cexl2%JTsBZy!gEnAv)fjE&I|z$SQWv4x{hqJ^%c1ZZaLlg>mm0 z_;Sp1sUD?$z>h>_pbBqwi_+W@^!o=QMl3n*5HG%<^LReW+~wLOV+aHnZJvX7!i^6& z2g2vx;X|`I$F|~2L+dVAoriRD`h9nf z%SJwe%;CVhV4Kz>^!q&KyHYhz@~}+BdGr~BbD$r?RAF?|F)wO~<0H09DnZruL+8y_ z$~VLwmfy!pF(%>T{x-Y7VA0t8b!RH)X zN=INf->1US#reYcf=fpeh{q#=ohQ;C#}GW>bjvt0ef{V&pMiH#ACu>xF`_?+?twiN z@X9sNFR|X^AnNjFXfGPq%q4EqK3qATQen6_Is#mA;1#NVA5RVVxcb?jd?7%$1>aJ1 zfUhEn<=zKBF%ha7ce}38M=&?F6#YKysfTANKPuWwd0IE&f8+g8Jo3c`U_1 zEKE_|(-eEXem6{1pFTJnAIU*;O}Vyj6KDYAh(i3thj;=07vbH(|FVvs-}U;^lS59e zKE^y*_HUV(k0I{I_m?!$9~$WQh4Z_Z)L&LJillEO3*`cyixYm=t196CiabgRo6Hdh)kKItaPz;;BCB1BZTW1ux>- zU~eM&LU-v4+)=l@V!kbWTimXtwnF|3d|P8Yk<-FHngR8Nhq>?~bWXstHElUc{e>$- zl?#VG(tX57HQ!nvv~qw2_nV31o=%_bLu|Xc_%K~LkVDewBxv!&ZIE9H4oYUHsah9b zm_R33pqG+ORRDZAb~2e5do#ktQ*sWUxF!hqbdVMHcNlzD%vT;*2U99R3_5qxEH7FC z8TZ&Uj7<@A zj5!vkoit}*beM1ti`l=k3?Z^3ot1-q{gB};HvsUiC$%*P~0d#|}y6BUfcvk5#tkPMtjg(&Q%IdSDp5obgjprANyf_llP6D zVh#u$M0->D92@tG8|$92ulyDEpBCu%|C!=Fzgne4^5A^E)iLxGw&E_+ay1vhv&6`8 zXD78CJ%k+WYxJ$Mmhtta`fP-M9isW-x17}{^~jE#G1#o{4BZUoRdY%lDe{ZPm+N*& z7jDG5-KoSnOLx1w2Ip2>xCtLM&W(kk6KEX^8J}ed-zg_3nXnbu_z)bmHL%+yJ)cDE z-`@L^ndZSRQ*}M&w0JJ{3``}!f*KEoe(Ylym#UmD_rLVCBGK91Nf7_#_Z>|nyrh#? z4e@cp7a)3=cHydn85*Gb%erMoZ5}8baU+SPyjM^AwE@TaiEb zl5l;e6&V%`9&Chs3-ndVQKQKZ=$en>a!o4f@R#+1y#~>dWI>#(J^C0#w z6PPDh1w17V9IGEsBN=Qs+Mj-URj)#;&UsXd?mquh=;PsQJr4gqKh{24b<+@?>!&u# z9V*OJJ&>gr&A5voIrsAYKJFLMr#GrD`uQf{8S+)z_G$;^2$g_4h`z9cbvz+071oME zvA3-FH9^n$cHlxWzZZOM=EOQqi%>lZ^p>Je4}~9@`FkUi)h`48%U6hZ>V*D9@}*(3 z75+-4DCG)Wvd|o@d&tSf{$yXLY@PRfoo@_2y)o%$^mY8WiL(tM6C1bUedq%bdXyUD zA$Klo>q^-HD=oCEcnhs-HPzMDimRtW?jhRe4E@V{BF5EPNBId{okRD<)+;1}aH z?x3z#^eec6H=idERHxlydYiOPDZOIwWgmjQCsdUy?A*fDzcM*M=SVT-`lAoj#i0*Bq34;4$hf_D@WJ zK7b3hZ0MpePy7;nEuR-(x{N0e$ip`@F{`d}SiExlO#b5Q4H}oH`OnCM;CPJHV@$+0 z^{`)W8B#Bvvypl=s(P00Ydd?<8Q4PS%nc+YXf1Szbs#efXxdh%W6b56m_n5h+x+rF zd(CZm9jo)$KJnrgg0$Y?{pCx`L@H&Y;|M?U3}jCZI9d6a!3fg>_d9 z;ln=7kv+(pt|0_0&$_QSW4|wa$5P`W&Ut5VSLz_fsH*fMVq4#bX3;6m5k=j}@n7RM z1(Vn{2Lw}JF~k%a^H`u68>RV9^F6fhT9i)hAiGK{Kn&f?-#1`H!pYDWB%M9Im(DX8TKSb_U#{?%hiv!x@Ros+@oc7G9TT8Ijme~ z+kEx@AC9^X@djVoyQn_Er9Sbx=3pH1A~;9Qxeu{?`9ZgI;VDkOf&4rX_}n$vH{TNd z3sNh7X}My8=%<$S&ZgtQ|F^Q8H^?I3IgMHbm_5r(3Nn=U!ce{SC`^ zA4C#p#&<&InTWAfvl`ttSm$@hqBg;8cR#C379oXv^?}jgesDo}GLS0VYuK|C*U<|6 zSVxYju61@y3PCn-Z$wpl)yY4KrI*0GB=yGqa)pJp*9^(A#dC(`)Q9@`sV)b+n0p)p z_DKXa-!b#^e{MO^WzJ=sggkcW@hhSpkeCh3$Nv0kOY?Ks7X|dOSx^aje$hwcyb+&Y zxCJ3Tv?K+4QppR0ANfWaCv99ZjCgymHSi<5@!sJr}V&C!XVyPkX#FH+f z@0d~Dn$E#@6b@d!aF{BV^E-lql^4Gui1x6be@3D5jKS*@A6p9#8c-EUEl%m8W1YG< zUG)Ke*jF+j4qOk(JsAx@G7mt1$)L;N6P&Lbs(Ax%k^jPe<9i9zi2r&cmY(vS2f7Qv zD9$P|e%;An+4|xeyaYZB=X*_l<*U9yQz$|0WB*TY7y5zswo~iVE7*HRj)#Ajb>|iO zP}xH$RvM=hFkD@Jy_iZ)BK){(^sNkoMJe|FtlOD1fwn*v+0-&y_jex26wN^l6+KlC zQ3<|T?7f~BLO%vIrQJ5PwpLMrg(oqY~-~55g9C1+tHH?y0`) z{@}E6--NtLmRD_CS!6JG^TZbAc2v7NintHxwgtK{&c8loQm%QwU_$w2^a9sG^!tSo z@_B#$YLe%3cu^cRXCF*w|NmQmCUe)wNMcOMaa-sufnQI}yJPTr>&OHf;_=7~TsNZo zy5*_+ew#p@=MHnAnVgeaQcZPc^-~B`udVAdJ7`XJF7jzPANG2j=2==47`zrgaWX;j zD4V<*qq$UW<-DyS5#)<++kdGO*>ZhD;3=`7q&Wn%2U&+A3$|17%x!DW*eJQw0jj|^INj7j5 zF6OQ|)_PuipGhqk;PJaXv23NeOR&ygcLm8D#j;*`r=f=Li4T7y{io zrXKu%{CMft_pUJ=_S8ZvJJqM6&id006*%-`;#VpPAzte>Jn5`;?iM=&jm+uW7bfCy z&rlynnLAZQ-UbI?+XSWRytG!a!TwfSo1r?S>JyafxgbmQTCblcDGw2Oe4AL9a&!`b zLa{z)F`n}XR$DR~z7V*Gwhc>F{n7w0+QvHfwJCG}+^Q>#5SBag(hmu z9ERpS>FZBE*f_ZYbd?)NwSC(K*P9qi3dOLpz|W+ zG4s5}cgJSuieZfdq%Q6kOq=?I{xgPzYy5Gd_7xvT=-zp?lk(Tx!iX_MEBYo= za}2DHU>_}f?UG2%5lTvhit-CFm_7c*%H=lngiCmstg>k_Qz>60K@;rk_| zT7`y*=Lhd1wI1l@q5O!C(`E1d0Gvz7ADiGooTvJ6A-IH`V*@@6`zh`}%pmr!AF&Um zmyDNfYOoe3WdRlvkm>Z%**qNjQ|+M4z0@|;3|Jb z)D|5?dT|c!myRq9d6-0O7rwFIL+bMFCnrfB`^qoP^8S1_54pjx#aKXZDSHM_FUegE z-R6dxG@%|#ZMi#y1Ibb~p&GGCR zOmK;3J2V9^V~i(SH|P~O$GL746~pdjHOiyBE=?DmONE9R%I(K~e^cDc6{UY9(iPz5 zOBTRi$$mxvZrE4;k6S45TCY0vmMvJ|*BUwX4-u5M67#XN_SJs;3VtT`rF>GNJ{^BM ziiL6YBKlVDi~daX)jY>0(4h%%#6|f;)#{61-v-`mvyyQvxsf5`|5)CejmUH%*RAu`o|>k_l04eeZ_s~FP(Pe zQDY9wfF4G8qBFc`05JJ`eoY~Xn|8AzJN93^!=4(s+B=|A6bwl&_%M9#z(*sw6v5%d z<>2NS0m=zVDKq@|ZN~n^iw6V9RpT#{&=&gP9%xKFdWtW>!y39VK9>&bzG_Qak-@Pf z=WfKRFJvJ47dFyCA3B1CBSSQo?`nK7fd*Le7v^Jf4t5+*)1Zs5XJe+y+=qL{6U+Jz z&+r#t+@i2Ny7kPX-lId2#B$tMsV1K4;Do$oh@Sqqjp_~_W-4D6JXrBB=L8bRW!}kh z(C2+8^e<@zan3F&+DC8epngyA8jx~axayBM8YhAASB($gV)y{(a=|EU(#ytZJvAJD zF|KPULi1BrIZ*_tF1a{gg!9-ZS$$gIDakwpd`rO@jU)175XQks$w~P-(}H+y_i|<& zC7ecpEd1v$QaJ!P-?;iDcT_R-W0KeQIG8wRv`U#beS>(pbw^57pNDxe=kU#FZ%u8X z2L35BQ+@uc?bToScaZWrCkAN_7WBzczbJQm-CNpzjVNDDrv?EyOtI@z1%+{lWQy zo8Rx&EIaLc)3ASm{k8W3U(N4;uNi9Tv=wz+$c`7IrFJqG%fa)saIbNDW1J&NJbnBW z;_=3BsK*{kK5DUHgR)w!nrZJ&)Qo4t7VZP`|h6Q zIk1VN$O47W^DMLO*TPKdW3&jSSvQ%S8sXC;PGZvZyTwT$EIh}H|T0EAA$as_n^hdon(HehlA#vd|OTY zXRE5GXg*nZ2Yo&DV>LJGC+PY)MsjwcA@?zON|GB|g!=`0_(ok4r4Fv&C_;G?NlwHV zrNwP9PX=zOVv}UOjy_MLDvbX)7fCq-zxCQal4!m0&-|9~Yl#lCw*|56==EIW4zh2i zS++j+y5$>Ozc?Mtq3}7_5L<;1Zb${ef@kiQ{KpTqZ3Mql3Nb zbIt~l@S~H0=x1PQZmuje4t7Pb`uFfD^Z9gRBsD=yz-8Po`;l*G)i<3$-%4)n>LGsa zYhS?E!aSRLK9XzE2)f4@E~s9G5Y%VG2R#_9Iq2}Y%iQx-G_jn#s8g;!=SSZ)j)R(# zGvAi%+5c73OoKnWQ&d{yqdci~AtYQB_+KQSteu^3R0kqwk!=9ot2z?n+4t0*q8uXI zROwHvG%q$PvCzslL-Ut*MUgEJbf7m~2*2=tQPt)V0KfilUV{ES|H>ua+C^0=FyKPpy)WCW z_59zczd6S+cdT;A0^b`Ao=l%OdxINcJC4AOdIVK}tKV_IOy)oMa}Ros^{>^K808Xw zAEUhX*WiJ%&$kWu{QP;LqlC*oFQa^(7-16JXU2;l;<0_cR}Q)G9wjP*czy8kCKJi^ zKLdHit>Iw9{lfYmo5SG7@C7_DQgV{=YMZF01gPIML{6M$BRavv>6z3%>(kva=RB3` z^H%`5aN`!|K>P668U_Cg>nci`K#$4`xlcNX9=B_gSj|~K8K>OkHps`}ufHrod4V^_ zD9;Oi58((ji%=hEt`lu-4xpVw7;R*~T&rZACoM_SJjqLu!i(|rC;Efyqmz-!W4U8N z99wy0Yn;@N9Wf7O`|x+y^9?>%b1&o&(#Sq=tQ(?!uI890bNt|*Qe#-7wJAQ+T*a6E zquE+`ySL_LlH_Duwx`j&@F)&eZiy*K_XNl*y~(<)d685Fad);AJ!HN;u}8Xc<>0dv zzrK$LrNFj-W~-gLS|85L_KLAmM%ye|w)?o!{>( zHu%R-b(t+4d1K7j4IM4(6}#Q@A<2XLE<|;zyPP#wcreZvv?HyKn=}`up`%=PAK6SH zEGasj!Mu0JQC7MX8_c&F?w6r^;cZd09KM!Q-LuGy6zIKElZbI#IiGk4muv9cNwflM z&w^y|`EkBe6!^{$)hV1w%s+Rz92>rGl0{nJDFL&y_gne(hO zG0GR+bi?4s$t%puq+XgfN__Oei*U~3`P2Ao<-x=XVeeLubw7hE^|b8wdEgxyVNKTw5_G;%@|g zF&>wm=^aQ&C0aIku7hwwet1-ke#3aA@Z%KS4;6Hv5PbQC2V#{MfjSVe>u`n^8g;P7 zC|#7G^X?a8#83PVevi)mDjk}Pe*XaD05*XS!+9ga!f4j#|1_D^KUw(A2hs1dPj)`$ z$uoghFHI%oU_Oh~_j|vE>Sun76aDMqplnKFUS3eX!TRP0x8UDrpl7QP3S?ZxQ0Rmu zsNto-^P+j{Tt(mA0Ddvy{qD@9O~6@vP|JY?0}>Z1Ih3pNf+${iV91l>U`6O7B!8(X z_AJmp?ea{gK%SEvOjmAcjEC&A(+(!;JR;CX`|aZyw0Qyw0r)FzS%37QyKrbt*zZeD zg%f=A;Nw4t0(X@4^j%7fjF{k!R=?RQ-`m+tpswAS*}_-rrduJBOY-opv)0S2?1<&o zhyFCtwVx1-ndK<;NXsQtG?yFwi{!L?eAmbTc=BvA&O7||voA&o4?QLs`Z)%HfVV2S zh?_AlN1d?w$4RnB--dpl&%y4Pk9Fa^=zvsWbxn$&7v*9h*bZD7@gY>T(wrjbY&rkI zucb-%XW+p$<3+`0__MeWY8y@+cpzW}-Y{eYJK(RB=al7OO2W74x22xc*+1r+=owrm zYx?&T9__#d@w61Nx+|Z@kcB+pt{ZGSZR8S5GoL|Fc5;;L!M?}dWex&=*F1tB8aT#= zJ%VL^_A)z%IIrLVH&NRt0J&p~-(cGamWbFT-a=-ljw4uq|DQ0w$q zog=r27vFZrD+R(KxQ#lNWhR5~juD<=33Pb!d~Jhy9&;I!k(b0EmwsV%2>9ktS|*b< z1FUAGQBK6yLpmToT-H8rq^|=!TYlcYPP8Dn4!b=_gHH`{AsyOhE6*bFlCh!Y?uJj- z=g`I$Acf$ZU|vYzHE){4-1NhxhWLltyXsul2KwY*Gw=Nto~h^WQhUuis~N05>A^uX zS_Zk-49S(B5UF{-^G8w&%CG{Ixn1nUu{-ER-V%*E@CAlOq_UlRv$@gqxN7dlh{PW{-pZP#vIt;m8 z#)}Y=wZcgE0Nr zv}!&45u9J&73WLYrtp&!l4v#GxH-_lVI0-%^GWpe-*dKPCYWU&RCN^emaJn1zk%aU zCO`+$ix(0jQ#7|D!;;$YKm)!R+>J-C|CUSa=Gim;iUEp3ui;*1`ho)+w}EHM-0B8n ziO0o<3f>tqUrfL}nJ>UIb@lv@Hfg=Or-yPN=EP{OGyKT4=kUhrhQaY*TfhtH$^wS^ zqljfoJAyF}=5qx3AmUqG6hyLyXqiKJ_iq>5Mo={zR7KNJujK>SHZV?oW&3omo{2qa z!Mt53FExpzg*6MxcE8RgxEvt_y=91vsuy@lsjp(XkIf{`v7NUbd2_KKXYL75opOYO z`Z*R=Q++Xf-q<1zE1up#bB4Res_)}b9R0oE1eAT?!7?{4J%KLs9N_dA(Swg`2j3lH z+WS_+JP&2wh+$636KWqO^;Cz-$;vs6OH<#=5zKFa5sY>vN{Fjj=v8DbNvUgo$ zjw4s|^!HW!WUCGh`342d2Cvl2 z3c0(QOWV~}Ie!mPXG4zHXOWNkRii_cdl%=dTOm&K-3{R7fTWD)5O`9^bEMCk0Rki2ghjBQ}9?=C-U@)k$?di z!N()|+r44L*t46B$0B$E0Z<*$?{j^>)J^vjKh-6UOKpz1R5UN9zVD&F@y;=_m;Ed? zhMuft;Ldg9JmOA53t}XP&8y)k;lwxu!Dj}}jT8EgDh%}eBuMy9_v~_%XJs8h-!^%_ zJT?n?I~?$ie2Khk2&UWVC;8y(X2N&FIR$MZiDkjZs+&mSGM#T3ay@z2XzpZmCN)91 zwRgLx`VdY9Xs%nlgK(rxv#Ze%4%Fz2JX|&sZ0tY*>XYjlCUakh8p+g!;~bKax5)W^$QR?X;piYD z;pS|Pr02|0n_)r286^LG9IZkeM$gb}GUQ;*HzddDL=M^VA`v;C(%)J6$aB(ld#S;D z>QP_0Dwo~Ins}j|b}Ex3cVoLf33zjEkm~JDpnqA#iS~t>n-CwVea)4T#B}(_ZPKZI zt?E0zLBGEV>hk;n9#S_|otCIPs!Be}$H>8ckl&Zm5ak`*9!$pp2&#WBL4Qu)M9V&- ze*Ih;13dHo+r@^J04imPbjxt2tqhF6WlIm& z{XOT|Zp?!i9ACqc7BwofBcY-|`De?o@-voc~p|&90Jn*BHH=lVdJY}YRQ$V2c ziqyG1d^{Y(IRD~p!)sU5X}=}FFUED&>P*#77kjD?xMm=gT?jd_5A_&hgFpYEy5xZ@ z%1hDu&e~q{)&7j3T%Kdqi&sC034TPL>+VTVZn1@*aulIY7M;)t=q>qto9U$U_n~3L zIGC#r$xN}i?64wDc~aoRAXOvCZvyTY=I`8yBy{V&`Y*H~ZU^QfM~!i+4ZqD+U5w8q zgLzF~U|%Wg*yS?ZNyxMIuJqCnzsELL0$mV;U-0=cwn_qbZ9YHOpV})=cTSM{ zWo@C0*~dX>g@(+xQO|PToJ%ba&9U@Or$0FdWCnD=Tn~)(5N_e|)#bj0u0HhJrrb>n zz{8L{4CrB)nlRbYUH47!2mQ`D15cs}U0vmKV{(<_U!}xo&ILX=!u-1ha>#(`%(XHr2P4f<&!dNviLsyUDOI`9zZM&uo-kxdhWc2x zm)|c&7CAInbfs#1l0JXT9;&-QJ@!4{h*QkOG4tO|%#;490{%X3Z$EbO(&q#G9kqB- zl7@btpHs*1eXVloSPyzjgfjvNe8rG_y-#r+^L>9mOnE^U$CBhuFMV$?MsL?0H^P*8 zVo$0kbydn=CK?XA=w7Ry1lL&CRh?oeWh;z@Zn4B_u3<-S8fKOaQmpJpPpuk7!c~Qj zljRz&m=`?p#072%{uuKIJagzIVkGKJi4fgoGt85P1CLy9;k7i>eB@OX^K{>3j+8mw zrX-x(>}z>;+h7@6orN|sr+s`lQ|C~Xyfo+4Es%mZP;}0QD+1X5Nw|Cj#NL;3N-Zz;9pX-`RxSgpXuf`5J#jpST_kFuyY?9NLkC278UHgX17-#c>>i61q|OiRub)jl7PC-+Yc z^e-~6ui~XVQtYoeE+KQMrQ{L%$0v};KB0#b+epb3gZH2rqEzJ~rs`_0u_ZiN``Gro*3k;`J9EyLu4ELhgJJO+|<|xq>~++k5-r zfGjd@Gf(E{7};|lwjQPTeH3y4AoIWQI9GXF-q1C%?#&WD57@_oi^2(NLXU+Lv47#h zt9cy#*c#D;%ls&xIb4{Zi!ToS3;W`>L)W7@1Gfz3OgcKUW_Kd;~B+o(2cSJA0CQg0!%L)x_bLX!54E`6M(<6toF9$#L z!oHHhBwcX6aNpO*N%bE#VKQfWU795Pwzi4Lf8jmn50QjZKdB7uIh+oRLi{?y}Q5-{AN6;+7okdv6De9)8OmZ|cL1#Gz8-dz5#}B3()Hj%!#8 zH@xIrrgBmC+Uq`I1o}hff9(vSfg*S+P+z7G&O7!~uN*19o+i!GRcCj33JF&GL)87R zJ6^C1OjM5LA#bgNhh~rm^O(U27yZPx!J1#aJb_|ZCY~2f;tQ|+Z;n;5Azad}^@M*t z>-zB@_&mJJcZxoARDW6D$vP)L2R$U@gsZCD zH7YYudq4)g#CZIpc~Qbqh{?|s|J8YLpro(p27TN|t6JZpNuul61l<6)0aM{yl-%z*$)Al%V%;>-*rYcnG-IX zgZ>T}iMG}4RR`jV91)(|tOu_JX{9r!6&R9lf_ZWYxP%|H@sm7qE7wHj>|($F7i`b( zT%A-`WgA9FJ9(e^Hin-!n1a1<*}yly|8}U*sKEij{+K_o;P>iC;ab*#-f|4&a=vxbHJ=;T zSseu3?1k>97B_atohgRhreJJ_a%1m>5Ga|$cb^}u`q15|^ErocPPEj~d98Bk4sgdm zFDNlS7v^Ezy=Kxp)ye2zn2+inLfGoTkn60zaQJt5{y*zC6ER-o5;+pO`4vI(krTHeL^$q;vLe z$oU!`YO@r%U2?zHOeK!d@_gv2ezpE7$~SCeDY}$7GZKVPH?IY*N6{%28l1N@W<>cO zX>J(x+l~i1`23)cBo1|Wujk$>H+sqgsq1wq9YT_)=S}n+@dh@3^q?&M`Mi!+pWCAt z$)h{pu*i_-^otnf7YrFi%p-eiHd7XGrj0wBXcw7EPEHOY=2J~aj<)b4UW5xT^34?J zE%_iDj+{E)Lmcp#YAf$v}XWjr5wo&MenuLF4H(~h?c$+e5N(Y(daGId^k#gjlo z&7c1~K=+uiepUefHv=eY%ZdC}k9i6hB*guha9iNR0q&x<7R`ox|R zoJiv5Ool$0{iKte)Nkk%CV7L|O_QZwiN=1Pb(aIKK%dM(o8CnGf#rCGeWlLlEeMZs z^WNI=bO9LAA$POsa6fMNFBv}btA!0cokNv*u=*yLS_8LH0r@Yh5qsaY_e-OMbu@=u ziRD6`iPkb#{30+*{W$#`XgvpTFAmb{p)+_)V%)l>{r433*Elz$4*C?{zx$^PSMsrM zIw4)E;qi|>)E6-$QF$@w_l1+5QqC)WkKASCJH2`|Sp7NIz+-1a)TL<3srllUK>^4a zkwCq>hUm*`*h>D%#&;&=PVV&~FRlZpgy_6A#+m9>gW}<;t?UU};vC>{@~NL3W&d6& z6ZZ@Jx2r3qYEHzfVnh5x&>Kju-7itfw`-b3?%02Oj!jYyVVH;RvtlO^b44EoVm|w2 zqb`A{$L@1ZNUv0#yEOEYJ*PADFr3rasgET+VmUJMEF}MBsEMXcLE3d-^T{=?mdasj;p%G5Xam(c*c_G z9!K6Z{?+%7WWfLYQNnXO`?Xnk_>S==&BxmxL<6|7wa*b=Z%*e3g6yqt#^)yb6=mD= zdEjt!&evo3fZaXbE-iq*ly!I5x3RtDmu!>pN2e{kWn}yffbuLG(Kijd0NWaK~a9_t59TZZYK_Z@RT3Z|cP!FAe5L z?~HdP(dpH-mUCxI!{; zFh=$_zbwk7Rsu-7Yh329GsIRnhi@7|&kvh%`g0$8!ho?gA;eUSoztB~Z(pH-9WmxC zf1Fw7eSbIZqvz4C$z)-2N}r1B`Ko+@$V>3NHi8xlS zVXlYrg=S5nKOqlZ2|X6*?ExK=^OUDJB9%CHIHecmhj4j4TgqxnQDiXTS%&IJUg)DDjCtOoKj|{hZfxHRrZZ5OECV zX*^e`UlmF6V8_#-@gg?eL$jej=dtZFSU14U3T>_6U)%rQH4$>7|dt?2hThdUMh zzFZ$yyoLMQ!u_Qo=UtL30fYC)P*-d5rP{a8Qr!>E7vcJugOtNnC79aEU=I8a)~9%s z&&Mu|q^97GSHK)u{E_)nh~pT}q2Cw%q;I171~+<3uH09y8T1XtKPP_MR_|vPfH*;}%vl%XKj%$x(A#eJ0EP?5Cm>?Q3Nm?&9!Mur|s~z)bC>!;xF&|?-;Au}{SNpp5DUy@&x+=~WtVut} zOrS9cQmBY}h~)q~))W{g>`WhCX$76YMu30hXIjd?P2YwM%m z{|LI|-ra+!eMcl3Udkr6`Hx#4PHeZR6=2ezAMO`k?{}HyM??B>&E{{MP^i4Lsr#vjfRqBcPh_0*s$i^!d4< ze4dmA{{{wLpZL?rH#{nRL<@_LrHg(zEJm zp56)64O|Dt`e>aFpS5sBT04^mbCtqu31agX^=!?=>2^759EoG-evgM*mgXHJeWfHvsp15aAGr@NKp???T zBXb>#{zd#M7d>eS=Q8xbycD=9Q&~ls3%o_{56dq$yFv%gf!Bktitb`Fa?;RUHP{r6 zJaGm)|Km^2Vi)0ZSmH++AqWZCVMgXD=Xp4#I%Z`l|j!UD@aJ^$3wZ1O)KNw#x92rE7oT_KsC_#=kFqX&mfftB{xefFK zoWD1{R~&JEK-xM#`TTm=?^{%;RKbF?aphn9O9TGD3Kkanfp_H}|Myo*{62rEc5|bG zwR|R3=vlo&&oWE-AN+0B^7|DlR+K+!UHZ@+psM>1Y1??@#{ykN*+B`gjc* z#P34cfBNU&7x!weei!Zk{lNeE^?$2(zk>??=)?QX^s`;v$oy^dsRR$ss;dCPn=F=l}ixe?R~KeV^*x z_wU!YtY9Peoee&0C4WhC`S*W)KOWLgDF1BvWckwoneSX%!3 z@`v!R|Mky-|L@m#XtTbq;;s7YfAxL*u~UEFW{>{*@9XrrZslY#O(>~B`gLnjp>2;NMP?h) zzqd9uY5mb_lU<$izrT*oYrm^o{&nindKw>@?~J*HyiVi`j!0WI`Mh2E*R4<813$Ui zETlpC*KbH^G0Q$U`J!R@>u999ll!osw*Jxe-{j?^#cWailD{Ni@+scQZ2?w}wK-_2BPDIyIvHH4^^vE?@EB^+wc3SE0m9&l?N-xKck|$#v#^ zuGCjoq4BrZr~X`_G4;2xaQtYP$NcXaQ=c0PUipW8*6?0q>UR_2ey3WQ*K|#&?@e<5 zzI{$?6Y75x!SP(&xAi`2O2?t8u+eEs*DF(-((!02)b(mn?z9~m3fj0bgPb)N| zTUX zi{^A3n+r9JzpEPBoQ`L6A=z)xf^(V{bX;2qos%l}n>IrH`^?-M16v3gZ+>y9dZq;( z=N7`~){)Q7G<2uq?Vfvn{7t!P}d5-#LExTqD4k5z-8yZJ#gq9<(uStE-hQ?D{;moeEp<}wY zrE%3(`10w{Mx_mHX?(R6p1Rih`$*|_G|t+Q`%|X3qw&^GD3KBuQu1~?8h1$8_SfW* zhdLk{e@JM8S~MFGg=iciVc4<10}B@tXgmsn__G+J2D=M1F2(1%IDFqLevCllQxFc< z+Tm6xOrUWp2=jFdD}8xhe4co29uOb5JI1$wAzynMx9!Q_+cs-Y$*z|j>3s1JuI2u2 ztp}Yq9zuBZIDNlC9(4YA2&2#RLeWb-=sfZe8b2`(s0W=-9>UvCN`2Bd+k?)lPQr2V zF&UB7I??&nNm$zF+RuM^b)xgEli)Swz%kE7o#=e)Bvf9vIeO=TPITUN67KJtwesz6 zo#_1Qocn!p?<$??JQV*P@@@MeJ3Kqn`Pf-Nm5d8cXF4xC3y$py)$1ib_l2x0orMcu zXO)b2*qP2#@$cqxA9T}&&etx&u!xvDJ$iJZ^R|mn?}rs9x6STC=WiF`#RI?C*M=^1 z9*fVVa_qOZ`>$Q-eC{GF$o(M$9i7)Yp=XbB!(Md}pZAu#j_HK56aLh7o1vrgTqoRF zd85(R7#*GOIw30lNZFUSb#&hA1iwqhzZmOE=YLnB<*PaO!a8=Pd7!J1ubj`1e|*!G z=7X-n8TZZ!U81|vywFux^M!U}=+9kge(0L}d*Z(r??&@PH=)LsCnGzfZZuzX6Q1Iq zdTyT7jpmJRLh>($X4w(lX#VIX%r3B|VyCO!XddY%h!0^De;A-U%_rT35?uy9de*8t z%`4r74BwXN9mjX4`K7xMzNF&*kgeTmp6M=(j`=(6>4okz-*gw6{B&o22ZtUs@AMGf zK0h{gL-QUq|MU=!m)z0!iEj^@hk6Lhnl5bFesd3+k9r7R{e4~5pX)*MQV;Sy(EA=V zKlKzIgw%hAn)IZ3s;3Zl@Y5@6eR|S-)l-;uGyBk^^*w3c5^se2=i>Hur+d=;)sy_) z$X`8a9_uAsXurWPt3fZC&w2@)hEE^Z*1H$YYrTYF3%+c(dUY?F-+Br4qT1Gcc%m20 zbG?L@#^+AG=|%IMc;C+Bd@q9Q^rm^Qx3Hl2z3cbC>`n7uZ=qMilc}v%^rm^Rw@}tI zI%;KVZ<-H#3wLsFNa{`VqNi}V>%N1b;`g=NlzhkY{<6XJ;di2 ze12wb zUKgK_nEQifeQAF0E4XB*YQ7hrJ3{ij_rn*aL>xzD$K(wD9SeTDTNuiLLL*pIFU{e&6)M+C=||Uze&ji?WBSqcqMuM~W4(D}=JliNMn55YSLo}t;tdG7 z_gU=fCtN=G$rzm6kFF#Agp?m=-+J^@Kf0du%e`N`bXGsQuJjY;JoP@&E}s`&U%Z47 z|6FJ>x`G#7XS{@NB|7d|)6|QuH(o+Rm!v93dx-Zd1{*2=z8QO;NbyJMv1?(LDnTNVTb>tuUDV(qU)2F5VYWnONYh3dnW6Y z_`LM>KX!ij&Wo;B{e?bJZ4QH5}R*i-!12~M&7={nb6SXtTYZmX01 z>3Y{c_je0N-04r(z5aq8H9x&le2yVGKN=vk@iZRb0J;ti5L|{j8}8K|K-a?oLcz(4 ztC#Q?K-a|q!Xx8zxrPj&>*E07+?uiC&!rEb>*N3-VaLr`D^?Dm>*WApeR9v=Q=$jZ zb#s6)*oOB>)Z!144~`i0HI@6cz5@g1L%4>P^kT9Nj&V6fplFRC=@F? zugUUS1L^uYP{^+Ea_4?Dkgl@>$#aJE1L=A@P)KQWby@Mr1L?XuPzdYUMbl!b_#CNR zejX^y`6^|~&>aKmIy_JqF|p3WrAG$R^?0C=`}=-Z2hw$UpwMttv7a)Z52Wk!K;g6P zGusy{qNnS$UU-x6G|8=+p03w=;l}Z=wBD`tblujIzYq7))Ad^~?6@zKNFJ}J>$qMB zdL2La&O$w1&-KE%!qs0F3D?tgUHm;b=e47o9T1;Sn0p?lC(pOKsHf|^UMSycs^{Y0 z^mM(~3-Vv*Npm6B4wQPGhyC7zT+#c#Ur#-&`XL5{>HD5^Mf+jxdm#5+4<|I039-^$GY?Dt3EG3M99!8a&% z^o1douY>Om0(bLuWVO*~w9$MWtI8txNgiD#L~JL78zSzaKYMKg57AaYd%; zhnXMu6zzvK&hkwlc@OfS*md>a|BwSx{G^FDUk~NxC;9VumJ1m+Wv**1FQq4&`_G0X z@KWYJz7BZFkjU2oFX@?aXWNB5k($KcANx65)#ZTXg{p+Qph2a_aG07U04784>=&kORmiQe)i8x?_9{RDRW(8c}au$JOaGrl*-ou zFJ&I)>wuSnm~m&P0_2J8BmDibpR-k6em>AtRdQU(?}vlxhZqnhUUF3ZF!Q6hqW!SO zOKB%a-h(`7tGuSRV;>Gk@sjs(^YzgFdC5u9^OWT!*EDng*=PY?5>E4Vz)Mai`8wdG z6lUDnb|Fu=oZ|0~{hY1p^7BDyMaPx=emJXsh{0^)rAn$FW`4LR+7D~Ilyi>cJ;;N$ z%4=#n_ThjOF9n}9Uk~k{mue__p0d2;eZky+Hd=s}{4Vl!z)Qk;z7BXPiy3#eUC0xj z>HPh%pR-k6em>ADI^P`!<{jmHzhUiNq-=$q4rB$xFPIQnj zZI%DjcI?9eDXz+*@dHO`|6FDGubj`}&V_S_AhiN1rSAWCu1?-}uSrV6X%3o<{A2_T zpTXxz-FY9?r;sw6>M|Ie4wLtNkCD=mK5s4cG^yvK0g^@Qj%Ues7pil;C2c489K5GtZlRU0wyA{BhMr(Qzfe zAA;(K7~CfQ_fY*X^Fya-Kdf=R;V#L0kO%WB&#CR^jRW%M(;kYRFD$n>Kj3o#aEtaK zUkBWh^DAEm+!Fo^UkCHm@jhRdH&JDLLb2S>FYr`!T*>c;m+FTY+$L_(tA3dIF<9Y# zSiWxQokj9p;A2u+;~U2(LwFA4m0jB{!l`m@P5YMALwme%Fhu#ijFJ!{qR-&5QEypRpV4Y%>3|E zxF43eD&=>Q?=oJH(i&HJzal!wm$uG>YI}L>fD~8d(D;F)vwyDgSM+>lxhgG(&n>`J z8GrJ1z*W(&`8wb#&zF21zD%txNeiB0$k`CBGjtRX@a_HgQ#;>W7&h^A+xg zWv+7ii{v}kze#D0t5W_UI>?u{&Vy=udFy}_S9#L-fupm3t_o80d}g`IB|rZ@G~g=N z0(>2Cl}5wY0aryc;|}8wCFBXGeEj`^-qxl39I;H%aV5VW!Kxo(P@A}Ft?GxFA0Z0& z!!lR-I*@!9REU(;xXQ_q=pbL(IuEMt<*fr!Top~@2aeAExhhoA^O@zUfMR@Z0j>%v z&es7~>5K4nz*U;Ud>!No-=cgS#Eq>>`8gt7(QzfeA3Ib(#Gp2DRkZ4dnIAC<_ro$* zrG7&4U1kYVTH`9`QbY&&($;xUZ7**fkm4$hlli)7|6G+_jX3$=@jTa@M05YyC;_f= zOy=u=t1{yGI^ZfjGwy7=kSDSd`1@l&XREp~E9Mg$gMOFPIOR6Y{vE88j{Q4WspDoj zIIt|=4;ZiDa(o>ew|8m24#rEk%KttV#>=k^e}7W_{Mg&&=e{I`uj_LE-9?J(hZw{r z4nC~p($2M!u-KGK3fuXod` zhQ0nR{(y4szYu!<20He9PEX(Pyhhf2(6P@C@uP19Fgo`6A<%z&E#>Ef6IDrH|4Ysj zT=-lE-04`2uLJJPsKVC)cLrAC>mc7|ea_eARouxRS80llEBXC6tNI}Zw~0H`RX@!9 zxU6VDtZ`>*Et2;j59U>#Q`^lO2c)=DPoLWcMvY<>d>#Q_a<9kN z0WUdf`8wbw12gV0{!l`maIVAOALwme${$xZ6&+Xd`;n>oAqKUHm+q;4nE8>Va6c@6 zFXLCA3hqA(%12tz(d(?Vs$s9YhSN8~ z>3IX_*z<@K`bJJW64#((=S4bwBc!XjE|u0ZyOZtEe|s(EUpGrDIxn)<{Q|o1#}W86 zNXOR!pXxjDb-<^Zj(i>DTi?!nU0%hV{Bh;1=(v*Kk4mZ^VsM-I)J65f%#Ruh_ro%u zvg@lgKK1QM@+0KSyvm1ayLsb)6rXB(n6I01^Qrv#UaRQ&%yLz_r@8-ZbO2Xn_TlS* zs|>yPI^ZfjGwy7=kS9`m^Y_Po&Q^8#Kin1Whh?sE z?nm;Sdw)_|?;=c+b}p3f{-X}{oe3viYDmwX*? zm7|`o1FkYK;|}8wCFBX`LHzxJ-qxl393dz=uH^T_L-j)pY7?u{&Vy=udFy}_R~cyhz|q-1S9vOWKC@gEIGoQdz*WIMd>wF= z_fWnLxXSTsz7Fz)-!Q%o;>Omc{2bw>=(v*K554M#7}O@N8m#(Z=7+b!{jkhcX(LF! z%Nj*WYh0BwhUg$)+By%a?d7clQe5TeYrbyE%~gaW95n8<`<|=JpKGSyN$LS~dltQ~ zEW0l`F1Y`Uy*{hSPj;xI=NF)3&o`W@E}YI6(6RF;Z%4;^>+-LgK8ntZET6heFpp!_ zQQ%Y8iF_UKsb(Bs2Yebmny-U=>olIPV~^KXb@}7USJ81LzaQgNKg3`*@u{EchnXM# z3irb@pZfZdd>1sCl-Bsv$)D&TU)n1FsqNT@15$h%P2&fSQf@w#Ki>x^dOovU6)=s@ zEx=Vl0el^BmHr#P4!BA)g|CA=;X9SDgSfGEDSuqeRCHX)??<5OhZxi*u9~mzO;27RNKp22c)=4Gt+$Cw12Kzrs(<1a#ebux&LgG z09R$s;p>2_472$<;3_>c?rgh|CsM!T?~nbQt?Ke~M6jacN`61qs(y&UY~rdA)ekd2 zLKW_ZWv+6bNAjKf0#aJzs?>!<2l>)g`A==fJ{*wZDm{%KI7<8Hs&GZmXO^q9OZeOZ zT;;x$uLG`f4C3p6s|?Jz!}vo9dBS-ye}AC2btykb>`-)E$?r$B>W3KACa#K6{V?;x zpm0AdbCusRlJA07kkT4gd9NZm$d|UxgKB$u>wpwj8EE{#(aFtKgd-d^uK7s|0{#9P z?iXXf&(=|02)!N)I`;akH`Qg&C2U4CzfR3F%!Bm&E-h6*f8%W)CBPpY) zP6#*G`OOyvz>r!bwa}U|>NsZ5D?%zv|BlquR8sNS@xqsg}sTyhezvK5j z)7BC{A&%J+_%vf3Uk7{|y_&BBKJ^Ud>mc8ztl{g}?ejZCvbX>{r$6?hEF_=w! znyUI?=En(z`(c?+*>%$zpQdag`4RG^t@5ARj(s>F#iyQ>yWlA0=2Q9eeVU@@Gke|7 zWecBMfU8`$@^!#fnozzDxGI_%cNl*tAx}7k@%IOMTbJ_3)mcTymHd9BtA2<I zepu!z_Inv?T;*Gm$?u0&;eJ?NH?z)=8IWTj zaV?b>o#V~pUjDpj`S`*wk>g9fLQ12`cn=87?~)p)+$rXKo4oIyNlK}CCx2YLR5(w` zeP2qB>W3J7rt^ z-+;d_VXr5oQl0K0S=mA7N9)0l$o34X3(q#!rO|rUA7pzr)#dzYu5)=y>cTrxI+8yh z(Rdapl6#=gZUC)^6eQd8YBc3v51kdA?;x(+>41cvGLK_+oOE=9A&svC?hO2auOm^T z(P)qJbz0hP@JYUoJziVY<&UdMijFJ!{cutJ5QEvooi$WH%>2+Q+z-p&6J(tx`Ofhy zDXsBo@HwJ`d}*uvr?z7s4oLB-mc|bprQCcff4;A;==scYRZcpeTY#$^FYpXvdptp4?e_XjLIw^8A_4Ex=XYH~2c>D%T9Y z4!A0V8Fv_eC?QV>*ZKPcy{$|6Il@EHaV5VWI@J#`s7+keL-oVV4^M^rVVSE!ZjyYL za+{RaxJt+*I>?u{&Vy=udFy}_S7p%nfupm3uJTg!d}g^S`d2=;09U2lv^!qT@<_KL)FQh(T@QDsR;fGe3M3?uTWr%DzwXol_Pm zt#MW6W1@q6Y3n?wwwJdKNO6@bjUPBVxw(pPgoDPt0BOOGo)5r%VC?yUC)K6V_y!#t z@4i&$n@!>xbiuT4_=9W@q`K5U&2?F{?)Z*uhyL4ZDgV0ZTb=Y(nSaN`@~Q3_e;k2N z_0Rb_;8X1rz7F^_{SjXW`PTg@Uzb;LCx2XxQ*>O(?}wl2hZx)@KJ{1qF!Lio;eJ@= zQ+6G;#;5KtNq&TUnOFHxZ8vWmkmA#H%5iX1a`UPD`F^IN=QGPy;cxid0$gRt;p>2_ z0$=fUz*X88d>!P8;MaT|#Eq>>`Qs{3(QzfeAM;f|#Gp2DRgmh3nIFp(?uTWrVy|0R zG;ANx65)#c}iwTg}_`TYn{{SbrM#8siHA7*}pE8GvuTqP7B8PdBT zDXno;Rw1H;d}*uvr?z7s4oGoTAdMe5O8e)k9g3dMELV9JCG!&eXGI`z8B{;a{76!`AC|c)q&UfU zDW8(k8dn9CBsy*0rbD&$JaRyat1@W(z+uVFRfHoPG$92@3(oX>0PZVe&kqb#=SSlk zbZor)(gSv0O&){>y6pX=?sSlpX>@;1Wa6c^bDZ9Q}NTe1fSr1&&|;WN4URQ`N_R?+jBwv4YmH0Y%H=P-GHb%8{gL`H81gpr~y8LmKuIRXu-;c|xA7Y4`xGF>S!_1GH z3irb@R|UI}d}pXeN^4x@UW4egd7BQ^*7L{#DXvPV@dJlt|6G-+==scYRd{VOFTsDd z)X@zFEnf#*66+NF>uF7#G z^Ah}LOC8b*$_PT2h)uqz&2GFtR5l%F{In#LnI(A-YsV=20iGR>#(z-?<+oAvV zTFRdn9TlAySw0PE%^yb{9oXnLd>!y^vB;Se_Rz; zbX>{rhm-1u7{(?(Ev@=t=7+Pw{jkiZ?D}erPlMW%{0RB-<7Ym#1$%Npiceh_K9ieI z<U&oxUq6t#MUmH=@(pM_N>m!p06raa90~A2=NQ z=PFl4&u5mabiK&D1pnDmM>ptu^L4;g+8%rzyqnI9JKL_7ZgB4jpI{YvTbG|BnkhQ2 zeq^_l#g9q?+mOuURx602E zIz`8o{C@OM{Sd?0#8sZEA7*}dDcldsT$MG5o5F5e^!`fwbU6ud~AaV(fKSJ=OWr^9Ind=MjEXmrCaW=-7D?M0MUiB>q7c zMC;Kb$#&?!y_WK?oBA50uhgJ_J0AY;D|>#y@~JS4KaM)u8PDN-9q_4(H(v+urVW8t zmfh0Q&8|cFI?JE__*>;^+ODG6IU%${V?+*SmAzH<|_ATB;V<$lhPVj zWzHZvt$n0L^(buYfD~5+(D;GFv45^wtLXX6a+Pj2nU~-{Tk7Zr{dasFaFuo@UkC4| zGvm&-tEC&!y<+Csh#-u0UguPnE$rJFMr@pYCz{qeWTA6GGojw|{7FsOcrVQk{lB-IZyKT;I# zhh;u>T}twu=Wo=u%hQP%T>Z^GB3e@ zw$#xLo@@9z;3}73z7F0^W5%6rS4%gzu7XdnioC7MA6Kc0jw|{7IHCF>hPa8V(o{dp z{5Y#{KP+=q&{~r3qSuqs8dtf75S=z})1lgW9yuVzRcSPS;IQnUtI`!cpINR7*-Yjo z_|KL)x*A~OO$0q@vHDL+SKDLSs?_v4A`hZyQ6 zuF6*ZF!ST3!u_z!RqjzF-|2Ue(i&H3V~9>`A8AoN3L85h#Z>_`e&BHA<|@Jw4w@_n z(t;!X{u=HVW53VV6eK!tdOa3&?Dbh^s!O5g7ocO$H(aUCiOv_$vGWJ|Z?C2N>t>Fk z^CHWq!Fx%5lNvuAeIwk!*8!jU#qxFVuJayvWw~W7-5eOl*IEAb$KNV{T)k6tT*>c; zrY0FhngIVD((r#@+4Bqe{cuqI5C`1E>y8Td!!n;{#FKoNlSoQyd>WWcbXt3!4C=9c zGzX;k)H#X71vD%-pUR)#iYt0Pvs{&xV(veT1C%=YBIf{K2V9l5kFSGw{g`ow_Mp_# z7a9BE6Y!3Gl=8=wlcM8Fem_d9eu$xN;s|He4>Lb1DcldsT;+O*DX#LP@dL*pH&?-aeTMoE^%^~XM86S}M~|4I(fEt6jqi;gF?7l| zlShmnF~Psb=qdhM1Pw~^tY)*f1675x2Z&bn@RMy znM8k^N%XgwM1Pw}^tYKrf1644x0ytLn@RMynM8lxB>L+n(O)--{<=x@*G;0oZW8@< zljyITM1S2R`s*gq-{uniZ7$K@<`VsFF45oS68&v1(ck70{cSGM-{uniZ7$K@783n! zA<^F!68&u<(ccyl{cR!9-xd=6Z6VR$783n!A<6FA z+)TbHbIEYs3a8<=k2*+@IUuI`SV9JMb8)Zdx^jc zWPV5mhK{}we37qnraJHQd>y>&cn)4!Zdpq=`=#@BmOuURx5^(^?uw2p`Tc04`XPp~ zX`L2SKg|5_P_!S`xFtA){rhmY!q7~&>g@>TsX^JARC{jhxhu-`+H?}8tZ(i&Ge|3-A$ zyiJE{>v`mW6jvE&{J>$^KUeuFdOovU75I$IOYom9b#z1UbG{C^%KHgl2k$yQhF5Hh zq^_l#{hso5mOuURx602E{)&z(`TYn`{Sd?0#8op@Kg|3HRJb3OxhgH2Lca74C;+ zt_mnX@?A(lQd;9GUq_;Yd}*uvr?z7s4oGoT3XLB)O1ZfTIKqYA7N7kIi9@(=-uY8f zcXy&C)#=Ka>-=avxIEeJNp;~a=DIXm&#FeY`%+y_9dn&aT~Zh7lQNL%Je!*90%$$N zjcf;>Y+cH~ZpJ7&FG5_o(}74Y#vdOY)nyjv>wr%UMff`4Q+;8+4)SekQNGUB@dWM3 zA6EuN$CdnkB&mLg!DhPdm!kS%=Eq@$`(c?+*>&9-pQe^1`4RFZea6c?_6?+}T8do`2B>55YrLFUz+Fsr|AjMS%dL0dp z&i=XTvZCiR%T<9@_}l_q75q702VCV{iLV2$a;(7DL7wod%-2EO*t(RTBQg{nSMvLD zQ}sg(Y7#w12L8r|9|2 za+PaiKDPi@2~GGq;3}s^d>wFA3N!97{!l`maB=1D5A?P!<>v@ZEz$>NK95&^KO9s) z#DFkym80s1nIFX!?uTWrV(&|~##O%VBtJsFv~?a-+sj)Aq_`@DxvyPrt|A=apfS+y z2VN?a`wH&=kEZpsD`a~JDKyz_NxXv2xgDvy3#2qqovw?y&X3lEyOQl`R2S}Pu1ll! ztiEJ>-j0s-*5zL}oobO*mB|q-pQg9wk0bDDW*fc^_|(vnuLC~Sx8Um_-=?#Rq> z$5F^1SEUslSMvMetok8_u8B`8seYLG;i7OqEb}S5UR&eS)b=DlLcaVs*-qW7y*ePp zr+UhJaNKh9sr>oAhN9;)%T?M=d~N}*a_`L70arP8W7&hI)(dTnXB0EgRF6tpBKrGkS}eW2i5lS)&VK5a_ncmZrVRr z^-%PDX1OY3pt=8SlmJ&{>G?X~s+9hG9dMO5Gwy7=kSEdx@b|}l&Q^8#Il@!XaV5VW zUaB8rFq^naulix;$6$r~VVSF3z99Kd7)(lQT$MJ2=pbL(D*vhN*oOmBT;)yU2aeMI zxyoD7^O@x;*P(oF0j?5;@pZsePG9qNz*Q;CxWo8E33^T-e40L%KaRksndA66;8VkBz7F_QKZ>t|e49Fkugj~rlRvHk z6dhOc`!Q4XLkw;cp9ZRanE5eZ;eJ@=Q+6G;#;2*1NPdKTnOFHxZ8vWmkm6H4^Ff`OI>a_8UI809UzB9T4!FvDCSM0!c8it2|L z%qFfntomW*N2?u{%71D*_ThjOS9#O;fuoe0s|ZIp zXast{SU5c&fcwwb^8-EAr(!> zN>g-P$?wNm)ekYKO?;ZJ`eEkBWrh1;nNQhu*czYuhLHRS`O?;TP;D=79gyNv%?9&z zQ*J($Ki_94dOovUmA={Be>O^ht1?6RI^Zh9M!pWXO3#ct+b-mZ)J^>Tv7fV5UH-Vb zspz6ccTy;wF=ff;uge<&eOIPc)^5A?P!<>!cO zMaPx=e!Nuu5QEypRXM63W`4X=xF43e$}fuKyWm}XOJASV+FpkeHz*WI}`8wb#?-;%gxXN)iUk7=@FP5)^xUqF9KSwwy zIF9X_=-Bg!6silS^8j@0yhx`y;gET|zO){6 z#JvA`J4({6%fD`xu1#9|@8DCH1N?CWK6O3F*8!hu_VabXr_o7#9pqc56uwS+QD_`1A`bNS<{zM|tw zem`7QKg8fRaaA+b4>Ld974C;+u1Y;Y@?GXhQd;9G-!!6we3@7IP;EDF9FXEF%_;MB z)Bd@tjiTo>%T?(=n)}a22XIy9S-uXq%5a*m1Fq6DW7&hJrwSTWv+7miR3%?bW&R5s?-Za2l>)g`A==fJ{*wZDm{%K zI7<8HDo;hvXO^q9SNPllT;+b1uLG`fyu{Z5R~eXbhw+CJ@`Uqc{{BF3>r#G>@KSVK z$?u0=^+OD56ITsZ{V?;xTj73K<|@ByB;N&JC#5y6^1exQkS}eW2i5lS)&VK5GSK*e zqm!Gf;6Ami!lZ=|dYu*SD`T&_iis@uU-mf?ub^YkBb=#DN9O_P*m>bfby>fd@6YKj zsk`1ICG_83OZnGLA4TUymQT~}@W)X{2R0*LpQhX=`4RGEUgblz-Mn!?icdWm zK9ieI<{l>tntSxJvVouLG`%X2zY3O2`vVS^WL6pR-k6{jFQzO+^TQ`@l*2c)=4 zPvZxUQf{sy9O0nR(FI+g*ID7dGWNQwH`RsE^9Ind=MkCofZekS<-P))H?0RgCfft( z{<8lj^96M5{DJ=4YbpP_nWX5v$nvRQA(G#u#!pAz2rSIk0iSw0@O3n-G&%YBIxTJ2 zyC7dDb=)6&yZmvLqUgAi-;cwpA7T)j_%v1Z!_1Ep3irb@pQbpHe3wy_l-BsvyExH7 zzWmsEPu;(LIUvQSIW&IYXyxWp`SX36qUSTqRcR&o+yY#c;l$SgS4Drq*8x{~7USz6 zPo#Xx*FoIax|Bbz&MG>tZYRSGs{&j<@wwKT;*DUuLG{ql;i7wtD>24hw+CJ z@`RH!e}AC2btykbWGXtYW3KACa%g-{V?<6iNgJ`%vHV>NxloJOiF89<@7nx zLB6zg9#q@QTL+}LDw@U*9G(4hRkot%Gs{&0)%e^3ToqKEuLG{qyYO|uRhlY%9pnk$ zs(c;9jjc=hIpU?F<4S%%a#TOWpf+*UJJk;}KQuH&DD(I2j8tX3w+8ZNNsUu(3QMg) z@?B;vQd;9GLmi@ne3`ow^?&~}4oGp8rndRIDK}RUj&RTf(*-@4et!-3i?QElM^jx^ zNpf7EW3SJqQk_80FF?nhZ)8wi2%RsWW9N^(2ZH?Trh}IBS($l}u6YM!nJ%IHCf|WpRZ$&*H(4;2DOQ+YN&pg z`Jq*~AC|c)#hv84j8>$y##P>Jh>n_J>olmgm&XoBaa9hDA2>Yw=c@XOp3f{-r6E4I z=;**?2z(uIRdidv&XMlVvo&7_c_O79Uk7nx>r#G>a8-0%$?r!q)ekYKOwF=rVC%^NcR`bj5~}!l#nN!bo~8+-qxl39O0qpxRT!wm#$>wmHB;pelZ}8 z_f8o9`&9hTco))#+e(OaR$T3{x-5)Jrn; z&zO2Cre2z<8=r7gK>QDm$2g83){8Oq;!OP$rf%&2ho3k4_F)~ofcA_N>BIgTZ}9uD zUX!WUV(L|ydNrnAovGJg>gC1yhsRfesaIs`m6&>Ere1}qf6mlh#Cq<()I~yW8N5W; z_1TDtbsp})oBhA6RxUIieIEYTepPYi6m9XE;XIsDrONodaAtgB;Z1fv!D zrM>gHZowTsx%2(O-{a8kI;UGz8WM{luLP%@x|oO)XAW8T-hT~xP_hyH8O%Qh*k z$L>$YUtfs5_A)#euc~!B-wv1s_{HyW&%TJ%wE3qBT2^fOCTO^@VjaRqra4r}%xG-pB$t7XvyE2)F z&Q;uthW05LwPsu_8hZQJ9;NmrqN}INFKK;yEsBlUU1a;SHE5jUiXT&UB_oeXr#8PU zyBr_>wRGjv_gCV|wHHiZ*)$oIe*CC<_M#}f^v?s^>a-3+Q=QlR^HtGAG|6FC>DCnz zalKdd9q-SYiS;Z08t~hRSoHm|+b4oUld$ht57$o{#-iVSe+^2`alo6~rWY+fC>c$N ziYOaE$Co0mILz=(3i z;|{FBDa#9Gm(?ZVhH2~X|JGy~>i?I2n~~wG@v)@n-jf$4<3DCi+STpLWmt1>evybl z8_~S7pSd199FIeLC0x0`HX0B9(Z_wuc>@Z4^M2Cz^OJFfU!JyiOpC(bj(K&Z|C}Xw zNRt(-o|H_$J8xwTZ|9PPJ5IfQa%7iH=u!Ljb-p-I8x0uRG_~OMeJJ(pwCqxa1F@s~ z{JL)68qmzzBab+r*@X^2T3`9@=L=DlzXsLs^hZ2;_uhTz_r8(nWu;Zm`#xTcKRGt3 zd<(ZEG%vE|fX>xdq8h`K|NQRCDjZ`dpE-A2GOBlUTlV!BiKg)b$0hf56>=S+kS5!awBSzfUxWL_+56cX>0{A@>G!dqW51tu zp}MU0B(6cnUT<`#I)Tm?(6RH!lj<^unD5W=D>`qyNeS04geBy8t>D|oF6GaQ^%b2L z+3QoOUy|{W8V4PHBYiMm2jd$)h_9pJtkDhR>mc76zToSmj{9S8mp`st6&+Xd`_WAG zLk!{%zV}o8F!Q60!u_z!r|i0EjZY0jNq&TU`LXk!x_|p}K#EUwl)K<)<>piQ^Sz+x z`OI>a^9Vk-09R>8@^!#fIm7rm;Hq$D++qBoggoKs!`~n1ZC%PAS00LvEBXDisZY%(WJD-RgPnc4)Ud~^Pt*Z-Z~(~RpB&#;OOk1tGpCF zpINT*o51H5;Htohd>wF==QzF&xGIMkcNl*tAy0UZ=kE{nwl3x82)&}?N`5~EtA2<< zZQ?3#)ekd2d=&17Wv)u`Bl#|4GAXTbmA609LB6zg9#q@QTL+}LDu>1o9G(4hm9L`b zGs{(J)A-y1T$K^P*8x{Wf5X=SS9wn1>mX00Oy%n!Zfsr3&k^Gk9ar-E;ivi`2DOQ+ z{8c~9{0LCEAC|ewX$Hx6t}{t#jjK{-5gp`9TjxQwy}WfmimNb}u{8*-NKP+>V?>v(4f)&!3-cHs!rwI?t(G)R2Ec z@WL)i!c~R;{oM(D5Z`|t^kOMr=Sy_~yZJgj)rBnM>xkQ;cp+cs4(%@C>$FtoyO^(| zGOL9RcG!S{!T{zo!7oD^mR1dUKbV5UvE*_>ql|ow|^L)M1j*nM?LA@ zyd5t7u);{+HgoXKd9S|v^u+x?}G)^A`S7WD6=WYg)bTV*9%qb#Lvq zp*2n@8FcMcv4v>H@*&%2j7>p}QHy3Hq7c?z{5y2+yHJdWZf{?7%Ry9pPeAn-X$bFG zoz^ZbAsR26^Gzk>br3Z-K2G66TkKN2&6_F>-B|q8i;`KYsL17ksPM&3Z2e9KiwFqAwS>*@n)XdX~Rt!PiGOpKfvEX2?;z zr|P7YJ4-A_`hRAAY49qCcI?`67QH=+M{alAb>sRpy!^4h%WvXyI(+Wce=>T}O5CAV z`Ig1L-HxT6-{JINYNI!&lTlRqbkUh5cv73K`Cg6mM|&imH*s6j^v}DH(-*+(rO?lI@-4~&A@Z>vV!cr>jN8??FjQgU_T6FEk$hs%0&%u|v zRSoW5=>T%>JfqK{uh-!o$FoZ|t~nQ9|Ek!GiNz0~H;)3&3L|#lzR%j7>auhm{_)K+ z4_}A8Ibv;1Nq&I=1>^0Uo$+)&%1u(9HU? zvgW>Bh##y%&H>NDaD^6b=`(*yM(-*n4g9>sa!lfIC*I({cHVV|B($jUqvt!bgR#`} zYrd&$d@_vzZ!0@*(daudC?(5h*Q?oUu+;NYs{FcSX~g72obA`TS^dsos8zu~ucv(@ z{alsTfz#90mPp29uFX$68Qu@iZS5J==HM#a?6Ykp#|>VIAMCj|eA=9&xc~KOowD%) zbr5+r*l^<#5GEIlpTFH3>B;OkM{A|Wc1ajj{j_IzYMSZ zq4_S~n4PHg+pps~6-z?LN0ez^U~n*&dR|XTTu8~=RSc*}{<@Xg*NsI^D^L7*>A-3% z^}Lve?@FJVGcXY~c@S6g-n=a+XXotOUOS|pBSW5_lZ4)e9vaf9XL~f=B|%r}c`#mF zOo;G*v=V*N%LDJ5eH7o{H*4kF-xi>tPQ_a<>$(*ctJe2Y!^k7}u>0><(3y);s%e`+#Fge z9tDT(kH5ZZA9lSSVEAFeM9e-Xs6Ks8&@+#&x*g+_&@`vk{jv_n;rA}9tDd?#55se9 zf|%#p?7I@v^k}1fsAKHt+mn`T!B58gvG$7pa{QuTgBsrc+wjp+iC-1JpM);%UN6p^ z>G<=*Q%4^kx)E2nQ*OiVq-1m=rJ~2!PGgaF_{@+aUuORTx4+DyF1Xw&r=eBS4Mn@^m@ z=OMWTe7&yNH|WIIYup}J-Hih_4vmPpV?Zlh)(z|OYcP8CBC=YUlact-`d!k5E%9hW zTES7-Z#JVETb_*UjJD%%n~pi!tz81@=aQJ16}BCPiBG%A91 zTQwrl=G8IBFZ5r6D{e8aoQbGqQKy1UBcoA>`yYbOsyKAVIe*~r^Koct4 zEEgDw+-jW|+&4KMRS*BZ`8+azZO8sScCN&g zd{(bYH0(tImm0J_feh6DcyzSurEuRW(de^!5v$JEn;`kTs*M>l2Un~che|(a`%|-_ zd(h}|mwLQuwGnl`?6Gxalig@;`F@6z*JF?oO0t_optmE8nSLkojE-8F`gt50|F})v zf1XE6K6flvHhTqX+B0KzlaqUqHYw(>QymN_y+rl-T`DHxjbijqZyQdz?Q7h5|5umh z%}u~<&u?wM`_eY_%6E6|7b{nwB9WU0b9Ju<@41BdaG zb9VH@^~M!SarrUI)35On-Qp6u?_t* ziie}GHZNZnGAb4g+jh0tbN8L7$oFML3!_knOU4n3LbKWzE8;vP5}p3s2%>R_JYOsv zZFPyi)mDf?;$-?~$kuq2^~VFh*w?{`aA6c09^bQWg|Uff@-iPWbdqp)huz;foeoCY zItEQ-@ivmrt@Ho3>+qx%2{`Fgu}9fX>rr`Qc&2SfBX)ax^{s8d1*6&pAD$9|R{mXo zeYHP#qlaRvhH|^H#_!4XDH}JTsTD@=I$Sv(6`1Na{mhu{_`6pr6O(&|qSv*5KTzsP zBHHBbe$BPx8obc&Y(nihVQ6UPfj534kCwgTnKQ0(5~_B*?(MWTtI-+b_O*u z^t{qGVHZlfJmh-8d7IIhK7rbh#_-%cv46euZ=RAJiuRwc+jQrvL=@R+*6P;dRwJj? z1$$&(4MR`<+;l(TLNc0Db(S4<4&3yPPQ)1v@(-U?U<#^yew1*e{7#g8B1SwDh{yA8b_&@(cm~RDJ~6cP zgIF{=cR}5Qy{k?c;W<7K?eBPe*yZE|^nB`(W}N~faM|1Us~s&h50%%S`n}`MWVE4x zalu%NJD+dhUo-y#RR2<=k`u%Bqr?s4#V6{)`#$K+nZy0BZ5xBWFaPfEVf&KMsD$sf z6e>O$^^7?EgR_1ES`j>_&7qlzsMzz#CGRYrj{cZ^bM~J;JJF1&{LiNUV?ZTyIV})% z>iP0dZS^=bAaqQFvmN%JPp=CHGm_?_LWhRl*nTzvy(#$e`>fijU;YacLi2*fFPnoq9f7)f>qi3x)qfTZ1DL(OP5+>{6R-ApjeTTJ;qS1wbYC$jj z67Z1nUKK-ww%|3HpNLi(ka!aC<>?i%*rmu{Q$H)Y1-EMZ{N&v4lTe#3_YSQ+xC6KR z`pJ=;?P1vQ%=Ro-XYD%N_=_(6OL>Ih1Me2Sym9RS`ZE37;f|VpXnx?# zB4sLV!BbCEt*9&aEn2edQ{DGRlTnSYi|jZN7lvJDS9tTFMJOt@dF9xSKO~{;^=HnC z?H-1|6nxvx+!&3FPm}cYOh5@vmGgJWABHa;Pk(%`cswe)z&NvG(Wr}&kE>h{#ebJ` z%@G`xZTTBngR&Rbmm>9oTEv^#ZY}(YSj7 zw0kJtk9PhX^=sn->u}bn$KNa!w{I`8K7QNg11LDO$IZGy$>>;It=@xrM&a8Jb9^VA z3`CVAo-bLd&bbGZoRiRjxA9$PpNPVZLvV)&XQKao9wPJ?o`+cI>ZEs`qhpX)>*JT# zw~EH!_P(DKbuS5h+iS+1oS!2QnP1WPdBKqjs@>X;UPkBO>UGzmmCnW!+Gsp?<*_CG zVhQvy9SI_q1=L7Q{y>WOB&9jMEf7Wqgi4F!FUfFL*k|M6{r070>4Px8p4vmMouMS-k%6bS859Y9Bgt_n+#QwynWejrc2G zmw2$I%<(JvQqU*mSN1I;o~N%|cICnQ{(Etpcg5d*TFgV+b#JB={UZ^bU$E+{%i{5m zIaK86=(nNh2V?rVkbp7{jBeViqX9duz45y3<0wRr8;Ov(K4yslFF9S&`$201y4`Z^ zwz`qK(a7!tI;EU8V6T`8;-#5H)b?riHJ|0%(H|XmmTW2>fBQH0&rV&i4@G@BHR!vH z)oAF1Hrn9;PQ){{7gnFTG#5!dXLG>*8RCc; z@Zy^HpG}#Wgum|SH~3`Fok;4rsNO58;Qf!HaO}G#&ecCl#z(IkuRz43@vZWw3_2W+ zD_ttJK0rvuRVFvR8F)Ss?Pxw}GVZtvM^EWgr>b7mcWXDboHiNd;^?UaH0ajjmXBs7 z;=Xg%jL-aZK9YK#X8rw16+U}oK-1%%iy0{iAG#D)drRU@#6JIYG=2VQ&9z6JCf|-i zS)KJ>Cmto?`d11bK5K|aF|GC#d>s;wnm^3km|i0pFS=R0Mdph{R4!K#jMh}_bhSda zWGp@`bnC!2$>?JLgNJ@vXuwnb3@sYh*pF8fG!p4NG-&bk0T-9-#bR;_^O(OMkI5-} zb@{XnG@r-dm`Y#xw7#<+@4K!SmD^E9ZpU`vSr5zA%xaW^d-f{XX&)Zyv=soQJp zz*D0mYy9Syf_v8p88fm$EUNuFz1@K9%{XdCllNJhQ}D2yppehR>pvMU!^2C*F2i?S zs-7vAl!AL{JyNTB#iL`Z_vqh68qo4;V?WvXdLO=X^wZF$+vlUh2IGaBy=d{-!I^*P z_v4@3&ZY-c3qk+X>A(Gn*bZ3__v7hk0-l+$9o0|P$&FGi*iND=ml7e>!e!B&YH=s%> z1->~Gu@r3^sVnoto)mns@ATH+kB&#zQU??%yJ!zC7XP+-@d5{NEBB1e&a3C4U#9QM z2)VWk`#5;H&-FTp!%Ce0%*SCZ>h`o#QssV8c;~DA4w+jI;%+ZaB{g3jhFmUpDmvnq z2;AhGfm4rV9>ng4U8=b~-HwJj8}8LDyA>Z9AK9VJXNPc?0s+NpXd}^>*Frs4pLO_N zse~8Jn;*h|MnpG#6C90tZ7S61g=QhHa_6>NR`)~rMwz$Xo3l(f_aq#Z2Dz z$KLw~aFTw>y?S%zqgvu>`T3{2(XHy6_dIBM5T7w#CRw!>k?UVk=(B^}@5Tfj#7^IQ z9(cLd7L>11({XEGMWBkKE|p9@cMvZ+dT3qERuQP)l7WM6l-`OKHN~3>I2^)P-8Zk$ zOo&AFO3mK2wZ%G=dslGv(dg0OKHVG#EI?&*PY@5`s#(7MySLhnUd`=2 z<&SC+c+qxYYucK_@El>(@czvBH+MJVp=Ez=c`pAEjBAa(+_Bjv^rS_pOAGYNagDA{ zae*C<;K-ESPYzWJM?t@D8u-nC2-Gn5LgiuntyBI#YI+5uL&e`eDpWKSB_huWH{Kk^ z4+`WD>$-UpI=W@=poSHfqiap)4`1K*2%h^s*5_2`aCCdwroF3IF2}9!^j^MU!cjc? z#9saJPFwKtmq!+6ri9{@6_bAWq0bR4UeqdCw#+vCjq$RZb0l8+=GWIh);@$QJD$#8 z%P#_7bN26$6}|@tUHM!b(iFTQW{KaLK09%r2GzurDdzo-Z=e2_D$d_KJ@-Fxio*R8 zLg!yBmw*F`8_78Vr-@PWG&vfFuQ*lQ>trHc6BQHr+u}I9!lA;r$8C1wV+9I0e%>t! zPcmMX8?pyGJ^aNX^3rbH=T$v1^mgOi%Ooe`(0kM?#C20F-Z$*K>uskSu=kJk#7n8W z(Ke@ii#&J6VYhF?%Qz<_;QfX6bu+l{KpTGSEM7v|i$^8(@9Oh;5*9Cte}1{sCX|wI z>*t*v_u^rnHN02yW)i;Cr0?@xp$pN7vfDC>Zi>U}>pXDD@=eBr@1_-4)oBLy`2Nj5 zg`URZ*isvQEfcf?%?rAmv~=`Q{6p>u&lcP+>$b>`T({4pr4POH^FewTvBS50eQr0GsP*xg9r z22@eJT2N?CG9Gn#=DL|rB5|KZWkdo`K#g`bEPqOufOEetSQd?EiD#`R{}j*5{&^l$ z^hzxLr&j4|nNGX$-#63OhRsewyBcPWSh##QzEgTY-RS7u`0R#q-k*o*TLjSqBZc$-qKa3f10+<3@)4K5NoOeDnaGadUqHZt7Y7eY;;1aOJhGmtOA;#Xg_= z408QF5sw-1eWO<|;_%_hza(XL+KOYN27EoFi~--6|Lus|yZ4}*qt+ z&^!Uh`?hLbzS2(QlKaKX4jkVsJEFqtM2xlVzuVR&6m>50wpiO?J8+TXfi(xlCt-(Q zGcPuNxEMJXHLgSvxKe1)?D2mm;h{@!iC-D{;Dq13#a9tnZ@e5^WhEMwo{oQ#SG_2t&tE5g?6-&TH^JBDb^U!6 zo;ml#)Hj+~v}(xc^1I%o;LnaM8+KslI{a|#dU1vr(5vlJanbB#JhGwR^qBG+agiLi z)egTTpxw!?#h!+W@g~yP!LFg$!-ylFB%xNCyK!H2io?05HRreBbNQcsTBnc!O&YY| zoTgk1%87iGSRgKfo`)o$nuU#5EO(;21KJn&e;R>LTufa#CLr$AtG_V_n@O|$8|9wXR3FQ0SRO8PdeDKe{?uYo`z|@zj1F8e61F8e61OK%S81LJ1 z|ADN`d&Jit)_03_f4!m1XJI^)ORxVNT$9~tQQpjgX7u6)HgHr zP^KQn)VDD8txP?fsc&QI3z_;Nrfwvg507^-Q(wZ=mooKbOno_1U%}K@GWB4lzKW@@ zX6kF0`dX&Gj;XI_>KmAP2vZ-*)Q2(k;Y{6!sgGdlBboXrrtZtsM>F*?Onodn)`LJ&M9kCDV#@`Y9ux|Vv zu@CFU8&5y18-GXa!@BWz#6GMWe@E=Yx(idU%G9ed_3BK$22-!e)N3(ydl#Y3#RVQ)LSz3 zR!qG$Q*ZPC+B*-Ws;)2!??f}{F+G#sdlS%Libh2N6$P>ru^BeQ>G_K!SN=EMH+{p=r^{Uft~WcH8TEXQa6_I$tKQjAAX8*|S zADR6lvwvjvkIep&**`M-M`r)X>>ru^BeQ>G_K(c|k=Z{o`$uN~$m}1P{Uft~%wmYw=}i4VUFn|{KfwR-#Z6zYe!doW88>fwpf@CR*#Px63iH@=m+)h{dcdDuj~E( zs^se*e|&bFhLo@erRNX8&ml2>U`p5%tn4^(qlLY}%6!~#VUMsfA9=A?SecK!*fXr6 z|2gtv@31l-d9jCBnUB2KORUUCUhFAW<|8lm7Ay0S7kiAA`N)gC#>#x;#hznjKJvcV zt9!ox#hbCejq$SSE#u>5|NFTD=nxj3A1|BU?xDx~3?DC>-Z4I2Hoa?nj5)nm_PDIl z`^LwZ(+9@KnA3;G$C!D!7xNB6-jB`mk@pkhk@r*Mk@qv>k@s`sk@t(T$7PkiG#+`s zG9G!qHXeDuF&=rpH6D4tGah-rHy(L^Fdlh-G#+`84Xbb+*7XmGY*?8OiELPz4~cA8 znGcCFy|xhaOWd$lk<^xgz@!}cck-?x7qo~+v0rWZFN5Kj&eToj&?rs zj&VNnwmBbp$2uQ*#~I%cdE1?jydBO*-to>y-cIKu?*!)~??mS#?yBX76!k#|nb7rw4F#M9GU4tmGQ{C+IZw$V?6S%H6D4_8IQc{jYr-M#v|{>vi}KrHyMw-n~g`_ zEyg47R^yR(oAJoI-FW2PVLbBgG#+_(8IQcX%f1nL_ZW}7dyPllea0j2{<5#b`5Z7F z=X0>^@#Q5QG9Kr1*m#`J5#w<_M~%n)j~S2oA2%NJKVdxPf6{p5J!L%do-TWQc}ZuC zN8Yo>Bkwumk@vju$a}$fzO~1=|HtX4%QY^1Ud8QCx?()e|Elpg|7*tM z{I462^S@y{&i|(IIR9J5W4~_Kd?6POpYD`B4xjFpJr1All|2rh?w36-hxDNAF^2T8 z>@kM)sO&M$^jFRIsXcaf^xouR1>HsP)(qkKsAAC0@Vbn S2~-oPCQwbFn!x{c0{;S~wQ-{W literal 0 HcmV?d00001 diff --git a/data/NIRS/sample_4.snirf b/data/NIRS/sample_4.snirf new file mode 100644 index 0000000000000000000000000000000000000000..179d69c1c0dd4bcce4b20c8c122bd14877beab87 GIT binary patch literal 714864 zcmeFZ2Urwcvo1<7ASM(r2h0I5f&!xb8VF{RD2OtEFyt`6kYSj?oO8}O=bUrS3YZmh zj+n($)jj;bAK!fYoO_>V-@DH_dwgVO)vTWGTD{h)s<+@%rLal80?nf8Oe_I;H0eU*XqL0^ym>FL$b%ByI9zhplz4<{!*>RJ5z z#qZj~^zN6IJ{c7Y{`>v^su6H?>gvV{57KIFp?yE4ooCvnUUZluo>69Re!Bm{T`$i;a)j6S!eFJl!kfx+}%JdfKHAMihU_w3idhrXV{zjpQJW&h&? ziuYFw?ffo2U&;CYAOFh#dEe^mm6pa{J0SXc(nuALk0Dt&{#=v(um$D+(sxq7($t^Z z1_qMYNNW)d_3gAn&PV+Dn)PSnzuae@9t5rkNT~ALtjr7{K;#o}k zi+}a>ByU1buU(sV9jx25w{Fu;`l7ghIc>kTZ5-O#IM}rD)wWA%-;0;cu$0IE-rtMc z#pjLE_A8@(FP4joie$yhp!j-RQ>BhtmHzd6#lK&CJ;nV!?WO+3dK6!`XWKU77v-g| z|E0fYTS@;4f0Ij!SNxm2y(p>lH@S@{sr)y&ttcs;MgP8@4x+q@w*SAbU+S(`wWM6? zu4h_O-cb^mm6U4@s(DGdboqMKO3J0n*Q;JquD$;?O3I~S)2mrR-a|Y7wY2hLeS2uf zUu$mvHU2%c<6q}*{iPGv{hM4;px)o)k^=SrCYJ`(;%{+jdprLsr;}=L=U?S?Qtj>htDH`%o$h~?(@7n4j6(-HX(wHB zI;o>BIi0k#E;*gFiw=25(pS(WCw-wyPWpD$B`1Bm>5`Ma-F3-H-yXW;q_2}MIqB=H zOHTT_=#rDZt~%s)q;F4Ma?-b#E;;GjTbG>l?W0Rh`u5c&Cw=?rl9Rsub;(IzH(hel z*Ik#K^!3mowFcdaPWleiB`19c>5`MaKDy+jZ?RwS=X$p% zeFy96Px|`(UEZz@={rQ1ob(;4OHTUw>ynecGF@`gH$a!1^bOP{Cw+r-$w}W~y5yv9 zur4|28=^zbCQ`0TPWp!Gl9Rq+y5yv9xGp*A8=*^1`bO%KlfEVWHL@@5+LFHP+wtp< z``fN9=^G=7|0*YaV|B>ek-l-dynec8eMYIH%EuuhV&h-OHTTZ&?P5*N9vN3zN2)>N#D`BXMVb({#y6-|4#Kr0)z}a?*FE zE;;EtONX5OtJ%8br0*PEa?*FME;;EtPnVqZov%wy`YzBVCw&*{l9RrRbjeBI#k%CA z?-Cty_OF)el9Rs6bjeBI<+|jg?+RUV(s!jUIqADfmz?xntxHb&7Qg-pCylKk^_Wyk zdjFr{q_VnFzhXO7{QLj?{(r{^6yv0uwCWb`$D_1?<3G)_LE3d$RjM1zT?f+U$XdzQbw@h(=J z4=|w5d^yE!L;76$k9H~g%==*R_x#GPk*OB#}pUVI$)<@Z1T^Ev-) z^XKC8{we3{{Ijj=w^&wE&h3)N>N+RON*>GCp-Wcscy(Ud7kV?UKi`tmLsQ z({(J5Z}D&OJCA?Kek|kvCHv_*mhaD>{kTube%vnEkJ}~B!LpM5c-%{lJ-2xd{&`-O z@$x7st58B#@;L6#vXbXuS;@ZKE_sfUZT>x$l{}WOLzk@N@!YTEHFLWn{r^)pZkIfk zWhIYgnXY3im-xL(I{LAU|NnVjZtFUhcho=oai5a?xLvXzw@aRbWhMLZZ}U1Txt9J{ z*Bsy9KaVZ`T>Sp$@0XO7JhpiK{n@YhI{uXLn&fs#S#jUu@#22PegBm4y8QE4ZkIfk zWhIYgnXY4b9sc=y#cRK$jO8U|x{l?w`e#4xQ?ehoOZMY-$#bx*WIrDFl4H+pUPphP zmu0*bO3HXG{3$D5eS;=Errt4T<^;;V0PKzyPiI4U?gfoO2SdVjRN!lHupJQD-M zgM$)!_R#k46C5p12ptd|mLLhZ)4yAk|5XIXB?dDx>*+!K`){6{fjD&kp4Yo9#17it(r5lV>E9p!3w@Gs?&|-@XCFnFJ-9xyWYLC*kWh12aC2iYiz0_{QP9(izZ%FN8D_rBabUq{LGW1-_ zu?MB6rz&pSOYKv|?J%ib%tw7UQTx4k6yFZM zw%TFUd#7!ie39g#()7}c4VUIkalcvG_O3`tuG02975~?M@3d_br6ixF?Prnk*M6?r zc4(F)FJAu^MSs0MS8Y4=Urg2iXf*!)-9fcY(B&?2c)Y&)ewLFO0bfVWs@n6eP`-t* z`g2bclzVXbM3tc#7_xHmj5DjN|Jk#!2k`Ee89XGFZPX&&j z{#D5-C>X|}4I`7=*<)>TqmQS|f?#m%+LrBw@n|{Dx|F>l32~?6RwnF~W9#+i@_Dw#k0 z*>{RR3Ix;l5*R8bh=id zNt*yXm;G9Jv~ef6jh`7^HOL&|RNUcL%4x%D?1}nWa{(4sM@_b!QG(s(%~cT{Ty?pX1}O=xf_2 z8#=4u`XJS8gUfYcO{Lv6H&|+LXXuq0>xTuQgX4aW89#i{NxyGS#r{RY4wFZVaz;C& z;N+~mGd7u`tkIKa??0;1&LVC9k4`oyO{a-y6oKQ0XIA)CjKt(!C$Efbbz8VT{o)75 zQjr)?W3Z88kT;rtX#Bj^L=6sR)U{h_s>Y0D+?dwiAGPeur`;^b!kt+QHXYkH432GI z9ybYBW8=%}uSVELW3yYtoTOzwVt=#Y8r1yV<>3*T9IM7U+Jo5!snKV zO@BSR$@U0Ltx?LmQpFf7i|uTjw=`eKS~jYJ<@q?I?|QV$bCnMqhEy}H9j<^^T}Aub z(}Gd9<->dOVfHBXd+_NA9fG9!Z<>J7L!CGKO-e%dQgymbzb;4JV;9UET!6^#$L+HA z(RvyCwcok#`e;+}sLQeDF*sGW^W5o`RVWzJs-RQbt3t&Uv=i)8q0^DD!((5`Fmy?3 zgsip~KGoXWqtLrhIN{cB+uB2&u_E)X*D|#ceD}WY_Hjj~v@ejJ9+fXYt8~C0_f6JZ zd*v=endm#`J?rKQ;=D?fqiWkGQ=T<(!_x$xK9SL>sC8(tMb|#5c+`((u#+2#_N{gu zo~%H|Gxhfwk3GeG;cIXj@<)t`EBY27?K3xBkiS>ByY^%p_I!yw9d|Vx13nL_@-sXe zO@_4p7BcsNP|zr_SL4fO=29u>fQ;_-?!Fp zal{p6pM_|^VSaj%mE#pvc4W{+oeI(5*2SXIM zThwi<#NuA(>xGu~!0Nv9ZpVZrqP4hR8DeRp-9O8ojRQ~jG@56YrkSf3cDydgl>O^f zbEWn2!v1;2=pg7N%xc{_d@$x$S-$`9%pzd|_HFRr<&3!l7Oq`i!we^@M7(d&QG;Eb zB6bc*w!xrDAy#t+MPP(o?(wLMNEmhIp0|WPaRY87IYr`Aq<6-KRo-~NWTVCTEgJC8 z!(WY4FT5}ITj8J3bO4`sh(RfLh_3(xdHiX@c zGv2R3OyRsw2PVpq)1;o8a*i77v)5O(s&r2nul>5J3rm8 zcBLV(v`t%NzRME11)h52nw7`)6)7iM*eWqy7H9Xdwp5SwTapb0_u zZlOYpfEBO(eXa_w?W^^bA5p=b=lvHM9#Ycru3GvU#PgO*@3GXIi4F8mCyWa1%1kad^Rhmv!Jl;=&`8b!%bL3wnClc^g* z%+6Y`ADW5-%i8+7d`W@F^-}I%Y~8S7!PL7QX0SU1 z*Xf)Yv(W_?zj!`uLi_OS>@#1#)QZ5Vp>KDS7IHZ%uW@0qRi zG{`tRuhrNaUTDDEmYUYx3%Y}WoxpBE#Cvl%(MDmX*1*2Zu#HJEcIesS+2<+ul5r-- z|Hae3N=%I*L)ZC%aB=yrHId)bkkFNWv1=I8=N7#>>75C2pH|1?Ny7uCTNQ4|^?ucQ zZ(1yF%=h#2Ja`KV`%0^ms!wI@;`MepP1J>Zoq6GHOdrP$M3PaFEr#0-O&Um zR_fKb*q!Y1FH^sDi`Q~tshoe<1H=j#(ZvVjbeZKZnAa(qZC8>&F z@G^Q}W{=C{B`v8O1Z&!mQ=i6T*G9vq<06vK^~N;IecR;dVY5e*UlSOyF1m1DmK^z2 zKXkpgLLa9#jp^9#dNk%$+xKkk=PU$tj2t}e#uZ_IO!{k|kt%$jVLznWCK;yfqdU99 z6YCnpO$bHi}`p{@!X zt@!n48?`4EZaQXorhOU)zIT2y`B(rvnk^c=X|@ZZN);q#q{X35%M;(`ZU~3D-ou)o zdS;{LYST+S@(TnFZ#+sf1oZFpGjY8d-~FPF7kPW(Df^K%1K?t3oqYMJ18Qv9b3NX} z99Q)28uVFSo@ZGI$TL(3l*z9FQqs_6Mwf)H zPealAPUAA!$1`x4rv2l}@#u2)5|aG8QVIN;}~v=iqnr~B=Yp0MPM3D^Q-%A2}fzS*F2Aa&)EL@Z5+Iz`rOEAnM#94`@@5~UCf5j z#10b%8T#XyY08v@1z9-llYg~R^e|isII!=KC)uAC4pYwlj6%QiLqC~E`=IBic4L-z z*Pwsmsq?YD<)B$&cg9x@@*W#ZNW3GAp8BKim~JNMH7o2#Ue64K**1Q&d5ODZr)a$- z@cN!$iO!YZT)1g%jGX-0-Q=Z|Fk{EClqII>*=~>A9f2+lSM;cA9s_gn2IdN<(ypJ$ z*&PSdU5Oq0Z}buUpT?dFG^}-}>#NjY)Ux^1KemBAetk~7KhHb}y!*d+5sw4m!ADw0 zC*l3@(_V*n$YC(YsP=+dz=F3cPxKxkN6Uf9GshsSr{R>-ZzbY zMkcC^e`BFsVTn}_+Zs-v?~eu@X~wsf!KV&entY)R&#SI-EcB_mXhl(f{2b^#$ILxd z@<;EdNcOz8o9H+G?xjE#a>r*+@TCu!KQ-5>VV02AGlHaJaM*RcdMHzP2`4Kw z4U*Q;CSUM2BGf1n#BHL7GuqW2Hf8cuQ@pxU|LyeB8qvPldfT9me_BXS>j+#R`}nGQ zB?kKkQ_ zIj1|$HO8)b!(U#uR)WK@ zhkY&KJ!hIa`cVWvylvmAjzbJ8iU2{L5K+nGocozLd~ddEkURNfY&~B`DlqZUhx%8R z1tZZhWKlb3d)V{F+&&1uo0>J0l}f;18jzNwlf?Vi_<|hqZy!u~=m4~`e>1JpS~;Aj zeJzYsy70}!q=qWQc57fzY4H`of(_mx6@HHVbSv+Y49-mw4d&>1q4n-&{Mr~JX`be1qQ#8Cz7?NaVswkiJzAgl$Ih8H&M$|_w00>^n05Tv zlZS)k7)I{mJ&Nl^dzY9h+W9R)Dz0@WL+I#+8%D=oekVOI3x|)7Ipv8>PxKDg8AAS8 z&!BA+J_TTx{=)js=UgzO>GDOlcEn-a0Rm!nhr^NLjCo<%7^5`z$n$|vD?#O(C=o3*x2NerrxnQ zT&PKraiSVuJs&Qgd+eGJRGt=~8Tpl^!%i&m2tw^blksmF4@RSQ>k7u7D-x{sopnmr zIHPS6AxCCr*iAREwg>rvd&yy5Yy&oHgyS3DH;K#szYOFAc--iEWc!r>muSRS_-CuR}g) zdUF1iu8TBSDg2n+aHbr)`!%vQr~Qh}ia`dg7thJYL1Rr&kHU{3!!t0sa%zXQkK94g z_MFb2{7`t{{dPI+yX20xnf=08jDxxaDA9-=lXaGm^8{!RiG(XZPUI-8TxaYG{5yl31Tq=GAe|Z$( zZFI>*Q0~~p^J3y5;vs%+*iPo_QA{ibU)}f6jQsi1?qBqcVsgZNz}S`i z3*p4=?R7j*$N}+)L|hnkgB!eMU}3B76ftITo6iW%z*odV5}Wolfd4cQ6N|IW2RbB<5vMu29^nbDsk zF{1P9cX`8Z3AGr&3W}80#dmLzm21)ah6dyfcl$a^jW!FqcK?0OAM75zra1SQ#U@3l zSupa#mM!11Kn+5*0<8~5;{!%+3OwgDEfejhbe5mMwD*7YcmbV!qwYOV>;oVJL%0qK!Q`BXR5})qBS$8Mb5-L|h z?)uU7Gj6do1`Iz3(RyLDDxxqBhHR*t`XaKysjlVbC~$z(Ro)54Jic&RFT7433mko_@h;T>wj7+@Y z{otl0TyF=l;{a>Ai-;5Y#l>M7?^}TpXtA|x z)0(fc!EW4+tOB7L2MUeMk-DaPbQvQJKGweyh;V!QV)i9~2 z^MxaaHK65ie86=(u-n(CUJBTpdW}({7k#}zd0+Tt>$7yhhcv{r^azL?8irllYE}K> zm5I`X173}ahsV~kzS#k8Fk%Bi>*ea_jq4JIYB2C(&$qSxb5NBXeLKQ?-jhQ?_Jy(x zbuRQu1fwlsRSlttT2A|S$TEh0gyB<=xj3m$Xr zcHjFJfpg8tLGba$ufEND=uOc;pMjOD+307ISYKsA@hAsM+p@rL!?>7XAXK1SLqED6 zzOUt@(Ss8O;Xde3FlT-8Ybk8$HFSvN-!zI>V-t__xO;+kCF?EoTbm%3;Q>elfu3 z)GsH~@`P7QJqI2*NOPlSd@v|pC7TeW5cgHZ%wP$psA`YX9JkjAl5pCGbiY{t z_#}Ls;F-{v;+NlNdQJ7H0hp3|xjtJC8*yVGe~cZ!FVQ$XVLX1;RN?g0Wf4v9T@k|c zVzQ6Ls<4~1`?yesdq05-;IMbOY9~9>I69NzrTohmeb=ZZ8ETMK|5$79UE$04 zjh(mlFu{Vf$}{KLWxycVbHlq8?jSTaP(I2}!uJC$;TF4jNtvm}C`hD<)r0n{vM+zv zQCdp4YEgs~zxl_YNOphsm)JakVS|LDabjNJ%m*Lbda&{IoG1m}-6r60O)$j#UlV&c z%q&>5rA3gKH>>p~9%8y9B?%E65bT!Y+MFkKS6Tpe41Z0MBloxcxtTNdkv+Zp*vRTJ z=vBeMvTSn|)^?8`QTyFhfp*mcH_}xY&v^bu8J2UPeAyF*TkrEb-5g7J9bT<1v4Xl#3TaU+*Y?zH9() z&){yeh|}6ALDsaOL#+n_=Q}5j zNrUULX|78s|1$4Ene?Jt8Q4s-wrTZvDgS2fhP8~ZTE}7~+YO34Ub~Dr6>FP=24$O^ z+h(i;!&!$ZPe-WJ`A6*%L94*%K@~&f#$Wm2ygClgEM42@#;Dr?*p!8Ds=YIa+tm%V0S#bT< zb9?{!!$iLrv1$~4r5oHc8ry$aTK1jegRl2`DPJiyAg4l6ZM+;5ZO7DKrG`zbI!31r z?h6y|-TEZYG6C&EZ;L`QMBMPrWp~haGOqktKQ!VW7-tD_{TCSH&E`*w%d3<)$_b1s zmQr53OC-)NcG~fAR*V)8$rH{~qO8ijILY5?>DPKve@X6U(NwDBVey$wJ&5b{e?g8XQ@4e)ANV~sp(#He1R%=7~mqr9{ zG;va)GQm9gE>{Ikx8+Y%L39I7$nbmm^rp)zd11u|WzJP~p&;hf`gR6^=}kM_Gm`ua z%PfTR0`Fl3LU-Lp{q#pr>XE9IXUb4RR)7AU4|zfY50I}M49gGhO7Sqc`_Cq(;w$Yx z1#zh&9&F>`h85Q-v818=KDnRmuY1Dwt(}ugd>TGqUTwLsOrR7;U3GyAxksOm#9`o; zphhNN!bM!V)beZ?iwTJWfz#>3_L||ycVT480X2xc(D=t6|Q##-&fV@u% z0P_XWKI$uANT}ZwZ(k7~c(F}^M|}UPgrK?Ad)1cF_889RPbB-yKv4SxL{r#xXlD|> zFggpGt6IwcLdKFoxUde!BO*65VwOo z89K#MBuaivD-mES6vX||vooHBTYjE-$4KNa^oYyC5Id78rPHl&l5z0rGEjIJRh`yb z?WKui$#aFgLu9BUDs5yM!E!ik5(14?#U~_vgI)2GI zMaow!Q%XFCwGRZhPCspZ%B5op=a*B$q&!n%rik-Lj*bVTjJ*=wu&&hDqcz9G;uocD z&nYN=BL8@pItMNN#mr1E!e- zn%heG{<9I_H1UYQC=i{6m>RdFI4?93wA+1JY&#Gm2ke{t?W0D_KX19Hmg0nRGAyVt zVamWhDiQyF-z8YWGk2$lA_{x%JYhO8+Tt+qYJ9FN+I!|z6N8D*}&-;G4`0rj<_rc zlWrb6ol!dhoOY@=Hwi-+FuW!Qv6Vi&upvB|^HfXZC?h6R^^vrD)Z1g0G2%KfcTnM* z=r>&zyeSRZ$4`YrXUO2?$Phd}b(Hf_Pmv$>(X~)W8|9p2veXgeo*ydJ$_V!j6`OoqiZ0L5T|C*WuFp3w}#sG2RljqrfrlUG_3s8*X|;|aJ_dT zrVb=z@0WoT_fejj$P>ZSh7%vA&9KC^PjdyL5xAV$qQ-!`6JmYe1d8^s>sDVe?-p)a zB>VC!3Qn(G??!m?g2qGIAGSefcDNEFBpxH}&*!$W19e+?(VYOm-w{Y) zVoI7fW*u6;H)Sc=7Xm69f6j*Qg0e|+7k`AN)Vn?ZZ5Ajw+SX#?FzB&iCx6kI4WV_k z6mMvJr2I4afn?2+c5CQiyFH#dgj z7p6~jvqbo^<>b*Ai+PtIrBaIP_gbPEZ}fJN(s>rfNdEKQJmL2%a(HjWLBaGMD_@EC zIGpl$Y;Vs6!<+e1t?i}t-7yGP50m5ZJ|0ZNYcMmvO2lzyk_9_D_*R zgm-u7gJHqR#2;(aD^2s(PKD8Ij@n%l?pz6X^$Ssf;eo;_GU$D2T?wq6K8n=A`a!b+y(nycZ;7t zIt~-{Z@j#7FC1^0jKAzKDH}D!1Vw?co9Tq3%rKDxv1p24h-4(IHONcCi>d^GX2I(n zTOF{Ti9h|!MI3C}42_hp%CrNa6>GdMCZno`b`HXm4?X3??R_C|blGX=7o}kX^PyUV zp&M?ut8V zF)z^}5g8otQ@-*iu?Ti2g~QJ&wQ1FeG z9}{_>8N?qWp4^?qWFLyQq_rzUd`)(AJp4tzi2 z#|R%V{Cvz$gUVTbb61U)WBSfU^K#d!(VTg^$#(@Y5A0_m;q_h_$PjFY?%D4SViR`R zu-Fd~JP@9iB2M3WmN7U@Bg|By!Q*DvyAYnlC~n;jk?`n2JKW9~ar{5l$`eFf;v>Z` zYM#vsH(q}w9 ze24I4krzYxN(-W6)!U$tFGLHdGAIVq3BIoDrb10lym?#`*sV{^P+`U-N+d0kq5klf z?z_HwYI%%>0@Gd=esC21(kqm&)Q`z7b-Y~`KB%^|7}(qjf$avgX?fUR+NWpBaE9_J z_YUMrc(R)uF;^Gfy5NZw z6qWi9Pm}iN!T^ase46r=6wj{P8z-9N;OOv z-zR=D^D56+1b|VetEU`roQc-%<}l|Cb-M;3{90j$7Y&F=aXuNt$vfVWti*)~Hh2$& zbWQ6%O^>93>4yv2harT}f4`cUVjOQ{6Az|4YaHCf{AQwCEV9Y5`rT3k%F1=g^T+|y z{l1tgA=0+ryQ3??Dw}-CzC2{YsR53xTGkIY;_#D}ftvC!44=<#k|z+$sk!wXwS@at z3PN25V5$rTr`6X}ywCKb`gNVLne(GRO(D|fCus0^7bQYZ+Mr$MfYD{$B5=J+-HA2d zMnWk%ayNxHFAv!_GK&P~`&RAs2II0tXNdo$a63{#PUFVcyT%_(7r#UKmwRLuS3ezw zj7wX6Y>7vi9zZu-6)o}FP7p3d^y3ffG!k!Ts~qf(PQI%~5#`hGo7@)&t~6_?GLiVk z>oU;vk!Hd9ckWUi`IjHuh)>Zq$Pzt6&+azMGX_uBR(F&L;f3UEg@H^k4vEAYf>Aua z$KYmrX13)E{g|LvSAh+~2$>s3`^f6|SNa}RNW4^w5L7*~bbO-;6z}r}9~&g)c^W6+ z3KNodC&B$lpIZlSl0UXu?cOsO5)MQ03-f;T_UdCM=i9f%i2L5jcopVUYIK@piBeZ6?2e_(xKU?B*)uR_gsl{AZ_Lg@SH{5yTcH8l zt+)PYHFos*lc!`TEAs5}1vQ2FoipVkk9R;XHyGdEGk4|wRP>($nQ6# zu=(Lmg%r0C&cL^M+Rile+7t5OeDy#H_oRF!u@!Q&UJ-AEaYma6i16LhZ0x0I_g%Gz z!phREzZ+jM1JmUr-l`>D;&Crb<~&O*NbyTud&xg7 zp8}>&zu&Edy|_^n2vMBpt(=arM`!z=j|szcb#&`6ieHAi)OJ~y5-;Hh$!;P(`gC|K zx)I^RZkPsw-s-+}D1H&~w9ZQGZC1Jbb~_IcE8Tj_%0w`Y@n(BN(O*5>P=RZ&vc2zL zP=mZ(iiqktGErwu56S#&?psbbULf-MvJdO2g!Q7Sm_HWSy|kt-T0 zZ&b!s;zf?7^};+SS(L=XU3gm%^Tk6V@rYP{Ruu+fM!AF6CKhV2Z30D_2i4d>tYUdZ z;+glkpL>VmT(NGXS1=Y)_GT2}+Z?W)&x^+1o&>ZS`l2k+B-ee_z>pW-b2*qEe5kqx zTwYPH_dS7-H#|=$$Va) z5PeS9~QJ zf3rFYh(PrC2#L?sMvZBlMv8nWbSF2&x0gAn%BD?+)*3LJc-UkByov6fza;?mxiF?_ zCuB2G_lvpoyFv~`dgwTNkd;oE;+BG>c}p7Ee^5$x>FWc5VeyE8>0nq?SRW?(t%*l6 z!P~;Rz4209vDpnfsUD@&##rRLtlY3~k_LT=HW|Jl2akJRu{968^2^hQquX7{|ldR^dn?pAjVdQi6ikV}x1?{4k~N;eZFL6?QU#cpT+pD9tw~ zU?6%>*@q|b+;&jZxq;?6=ZkIo(Y{C9QqzShh`gNb!Qg2*&XDR{nD|I>a02tLynJy; z)-kfSQ;x(VXcP*LUN`jDi21CGAMOh@8@orZFadcb6WfMmiuEJ|`g`C-G6DayhJd25 zLtT6=CBBh;c_?dzt#)jYglcymH$3pr3PkHr9DEWf=4FO7iIw=2ee#5Nboze8ugtR{ zKy|$@&O}b?c_L2%8=hFQ5UeyNX4eOMaJuwudXU7gu_OCJJlk?NlVDxW&GYPQ;%gCX zxhVpOKiJ)U(MLJl7xjPC(?egvIoHOZwflbCcf?12%=yxTR|Mu~T$)DqhG=cAon+{H z>)@6v7G9Dc>{}?=JsU?UFZ!UY$g>$~o&`59B=EF?0q-lOGNf}pCWH8Ag}H=`Z5~TVyb8wYOnK2sN=en+l0ocfK z|E~bdrMyX|T_^OStb1D1YG9t}p}{o281_75k8!&r%B4(6L7)DE3iN4zyE%X}4+Vl4 zPx_^cd4|aSVKALLF{1mXOmID+`+mw-GLPeo8*UTaQE^Eu?v3_oU1k*3ixD1mVQCHm z<;L^#1}HIj^TAgOx_O}8lMPKCZAg@GcJjxJ>9%>7QAjvC`7t7Ysdk>wI&567JFTCS zjGt}~1YdTD`(TXU=5=?%yCPu`6B>6oNqB3%shA(zm!yH1w|zqS$~P0gtXUT!#mR>v zLEt7a@ox*ncAU7J_$8uWy4D+gCUjbU^rZ$46xbT}Q$ufZ<`0MO{$l-E9N|FgndpsR zj3Xdq>}@rEZ%O;GDI*#dypLV*!MA?rQr~aVNcA*Vp{ZVss$o}Cv0IE~t~P|&YIzbto@{2N;%d}1C!Ls~CuG92o~TcLKv`__}1%S4=RK|1AM z*v@+731Yp=RKgp$48n};h%H43hY3d}$NN6j!H7Kk9OA)K7HH*G1?n;(zAdd&DreRI zm4>vM#}&PA1&H-kZ+E#!@yzi!tiD?-zolmcWClCmJke8Qi>e%XdIbWf!HpK1f$8y+ zI%q)7VeNqdv{0=#CW?MqX1;+KUoJ2uUM&slK=LDb`A*uEComjx z%~69B56*3TvMEr)XA%ZWe$D+Nf#8i(2BpN|SqV-E8gs>-DJb(l)RWut>}ayTKR zABdk!VaCAdXxxjV0;mH%B94B8>czx;jp70FLTU`4d@Yxcz2AOM5a|l-O+eMRdUrE3 z!DRr;p1Q-xV*BW+4{5zHKZMqc$lv!e2B%G0Q2e6LME#3aAePB=Sz)A<$09tL!-H9e zZU~!;E(RRvq`(EDL8LD5#dg{t52q`ty|)8kx0oXLZ7vdz`EDGRa$T}t1m=@l;ZsvB@isCFgh3n^Mw@|H>?&WS zMyi+C>m|i?!vetcov7yy7;u;ZY?V2fu2We*2V8zRFUwxSH&ar;ZbQ;~rD&%{ta~7s zaNyn|U8?U|947HTjWcn$f!AuEG4bGX#J4BiB>O&?`1}-jSPNv|tS2qn6_+FN5xObC z+s|oF4-gx;fjTb{JsG$;VSo!AI<9Eupg{Lk9$QBe4ldTO49^q9`t?i=_UtEz{8XTr zhyAu_uvB0Ey+{ywhP9m0FVJL=J@J#dzG=%U^4~;Wmn}s5o)IbKO}10KFBZ(*7Q}cn zIua(^47z*Y@J1xjj2fEdAnNIl)$bRo!P{Va+BXkYn%90wmI^N}W-c3bAQ)Yk$X8PX zvCNq2E5$ODGd}ouzC*{5XXMARpJ)(@wUmdt;Y9V8jPq1^ATVB5jq1ggWRZm^mxZ3a ziAY}81GC(%c5d?>f(=CD?H_H4G{RL@oG}*twd=-7s5N%Q)~W8+V3>AZ_b8D!e$Y4; z6fM6_7j6k6{vlI9N#V~+;ys9VXS4!Tz3E~X9|8`mU;8;goWK2p(3F9#8VUH`V?pCP z8wtHpw%@Miljs3iV;tz6+S#XB!rXM@w~ ziWC{jF&@0!3om&d)c!1J*bcsN#N!@B6hCN$7MGfRShgq&J9#6%VI}ckLuFE(%5E6~ zsqQJbX1*ZfiF;U%a-2w_JU-{s4;zr(AR54`f>em*ofqAJk>5TTyi!Ph)k-fUumkLw zjwH_Kdu+89Ls-9sTdnmnl^#2=$H)XV!C zaQM~BbO1y-@zA)MylSsbupk;{*$Y&UOjlW8NBm*NOKLeFFP{o-&! zPg^JcTM+9YvYjEO?>3o%;H^G`zi4pa?yvVlgKc5W6Sa3FO52d785SkgA)AfmU7N?@Y zW?uG)T){}A`W~|2nCmOek405u6H%zV|G-4LiiZhMS;>6FB^3ykkLZUSt%T!2p1qHrR zoyT+qdU2iX+z`xNM~Q<)4iX=e@|B!7ozoxz`%koT@4O%hZ+*LUc}DTQ$T!FZ$}yld zHWXr=vr1p$3s8Pw%;Oo}M_;R?Jj$x;0>_(5pKS1Uzc!WZ3+L4zdP#QVaiP$KY2dFN z#r0Nn)JTd`w`ZY%`8E31Al6uwwsahqgYP&`aSYe3tjQP3P}#=wH)Nlg0O#cf8%hV~ z)Jy|qTc)|*PsMLCr~96`!Gr0{v|hyLA)N67r&*uGri=d4gZlxvNObG{GhL*-@WVJH zzBnUKDNXgY-JaTZ*re};doyoNA$~^wG9HpW3p3z5czza_0W_Fzr^Q1 zJeCTA49!Kq?@5&$5ZmZc=0sb}qH?5FREIq8AOWBYqrh~EEUK?$zCkDA_qQiH#PIe5 z@tevA))H?glpc7}_$B#cG_J}yG7*nHxtG=p<66B##5$Aa9^_|Id^loBv{dJ{*9TqS z2c4V$UL)asW}&#^ko)4Xz;?52EfWw7v%{oA79J41x8jSt#CLI|`h8vq z%`CyQrm3qj*bF$3KeoL;2gueEE?X-K#+*<)A0ySNrrZ#ipR?Xw0h1wa_u3H;^#RfU zm2L`9b$v69U5Hqxt=E(VYs3=fA)FTP!nZfo-4noye2Tz5>pRo*; z@Mt}K2_JtN11s8AXYE&M>$Zn$m@}1#e-qhkzd`!I^;{;V=J}lipT4xO?PG#CV`8xx-u(5KUz%dRfgcRg%17MS784#Q zJ_qNr9Mzk8mJaGg_1KiRo!9=p;PK%_9m5Zm!Efz?vZUwqP`wzZZL>QJ!M=t>xa?pF zLQ73&*cnT_@B2zTqw+eHwKYC5zq4)>$}><$`AROUy}9z1zz|T zplYjS9p39h|*O}@n7B|Y|G${7^`MIzi)f$R2Kb)h^t=Pyl&&%*qYC@*v;SSe#q zq3|J%m>C@%5k8WLC1ytA^DvBmXJX$azm=17twesSyO&ISj!xVV8InXIK)xX6SGLGO zX}8xEiOUC)U)Y^Uikbs+IM*v<@4OZnA$4+Zi0Rq1Bn^55o_b3ia$Vc;PzL@@1bU4WGD zCp@_?7tReZ7wf{t{nUW6EkWn@+k?}lUgJ_ko@>Lg#P?!+;!c6ksa|`x+3xAm^CBjN zp)BzP%dg0QKxx2L5%J)1|BB_^#r%u$WEC6@$)2#A(BF|syQEE3)<;&rZ3xME9B1gYtRfs|$$ zyOZhx_%T`sX@BGg2ZU>+=V@3y5E$nC`L42DM4w4&NKR1gB~*$cdT0!f_Y12w)SJ+~v9;$DI|Cr$Mg^Rcc} z7jlAl3LiRzNb=(jQXSW>K=5O6j#K@9vJ*Yo$|?!_{Ej6B+J$226bJpj_la-GyxYJ~ zDNpLHkFX6_UC$cDGX1Gmg~uwX&acCD;n&?2!rr885X*7Gqk1xNeVZQk5}yP0sHjll z|MYVNJxf^_^lp zEakt&y61#c%xR(@{$dox`<%Ebbb}r72m6K--|#U#AS2HUxl{-8xkI|7&u6L+;QH+D zF4)EdHDd+7b}}pd9T8%EM>i$qo5^jdQ0tK(KA&ZznONWbIEiqnwNICQx#uOt3G|#9 zW?3C@=!Cb5D)&aGn1f;C<)sPlWrs!2LF8w&+Li(ikA99)N_DD@9|@zke>KyKONWRf z&J4o^ejd)u4CwKT?2E{wB!5h-3oD9|cy&}i)r}NdQYi;*xqxh>5`IinJL~}iDz7%G zM)48DM=K35JpIzv8@(ys=lmP-S$>q>OH(daV7y1)G6x;`0aSYeC0y0Z5B&I#2hV>C zZ;U8ITg_R_r%hgB2C7Es^J+82NhS%XNri8tX}v6>$0B$sLZy6A`L0qt zGdomzo=ZD@)M5OJ@;yt5MfCGG#rsr_aeT}*;Y%Z@VY60dOLb-n0;1WF77|j6|Gk(!?xW;pdk4T1)&tl?+=Qse<)}49)qufA;ypIxd%~5sFq^ z2tc@TU49J4(p2#|Ivt**ViwUk=C`8fKTx&01^Mq><~+R80DdaotWN3ah-CtPKmho; z4~>tzU{XIatQ{4|q%3QX`4J*6x8w%#&nfT!+y0@z!+I#!46o>Ma_bF;;~t*t3J;HQz9+XYGd zgUf!BpB<)$K%#B@Smi9$^E5UGmz8IH)JQzlQ2vVdQ5lvUX+vv zzUL$I35HT0ODxAFe2JchV20lsa5>zDmh}7salx2?AGFRY<{diQ9P$SBO2O|KTQV7Dz9w}f<}#rv;T;0n`F z4){v>LaIkzN89B1?jaaYEW0h693))BFbMyHsPhb~@?N?=h*1f41uTgsc7tNaQ1l)X zMeKkeil7^iB2u=1fYdD;drxAG#@KuB8WVf3v4Jfj_G9necg>8?^`0;1Iyteh_g(%o zYpvg6JZ2xvn;$&PC(B^}CVq|HnD2QoTu0QG!5W@1#N+$gs9QAz-DE-;HB{tmb> zk{3IPy?rN6ViX#Y%<=pHy^50h-I%eszxXX z{#f74S_569I>0~;kf&wt)BOJG6HEDQbPj~WqrW#*VZ%#gRoOTFHXgcROKfz!+t6YL zlNArq>&`V^c~w7MF?z8NXJZ_7;P=48K7?&{lcyK4$HqQ?wHNr7v)i5idLaB7>^JbY z=zDfSB>jPT$m2~OMRG9sNjwS1BEBDST%hDM@R(o=Tk%y4aSXK|?t95iwJ9?2)&zN? zB0bz$=gmNW^djABAkQz)i_W&hW8u7ui4=oeaU1v?T-iY2ea;Xr+CdAk z-M-sWlja{h1H|8vU;ULK^TOBdblxq(`~nP5ogumUUftJ(BH0(`Xd=ellqm=Pkr;#u z4c@OhIK}9B1wOHf(9hpa%b?%kBUqc6K^6FV{@qvn_kS%-BHqZ}UIkDj zAIzY8GCpWQx~Fg{2HkfQpVymmIJdD6@u52bj}_F%dpI>%v9;8e)2Z|=V~u(h8+<-Y z9iOFK!i2$+D?H(qLu^y~_!G`!JmLCR0S{lar|*nR^=W<+AVyyBvxL-s+Yhot0lf`%x8vc-PX0QCh;rb<5=9JDizFbFmzX)Gs zzq@ibVj^U2=<+(5=0l!-?ghUk8=xLX6U#2AI}=rA91!$=q^g@0OtdAzBiWcGw>9^7 z3l#ugyl=}{gMXd-bPK_4wr$utlk(a61<-f_{Jk<{ZZ7a5&?Mlrv{zsEid=H#7hI{P z${TEe{TOIvM>>R2ycp~X4dKAPiPk;LLSI^iF+DatgG|^{9k`T195*Vt+?P%w?Uk@A zNqNI910)Yq;Y21ynh{7wzEbvpyE@Cc(;nO*Uj~Gn7$P~(%ggg94so;b*kg(R`j#WP zL70pGl&9~(vVl6UEDfW7;B)Hl zDK;iPZ#%!@#4KVe;FE~KwEAl5e0TUQV{mSJ(l=SpOVC{=?BE$oyQClU2oPvI}#pXU=m>qxZkBL&T)t9)r}6jXyEDUG2%P; zhB=QN9ie-{GyRqGh{aERu3ze`X* zO_wVM@9PF%!}FRAsM$fX@66tBCHBXDJdsCitGdt?evP<0?;BeznlqgcDLI;INAqZS zC_c%hxL<&g90I*^1b9BD@au&$+A@X^uRa*G*sA%aI@gVM5;(0STn##vt^1cw{;FSw zhAKbrfD2g}7}>{xczx;g1N0HBhv)ZeDx8M-jpOw?A~P{Y_4pZFU;K09{UZCowZU?p zJJJRD7L2zY+eImV#Okh`v&|8Dous4)KQUr?8f`$Hwtm?d+JN{o)&L|NL+@zK|JEx( z!@x8Brh}Qb!_IqQqJ>T~$6@?gqcm`;Mer+goNe(H6Ln<68FWMD(bcQ_S~-=_E5#1J z&R*V={x%k>!m`K6ro@<-AHFpycXnzRRhGG@z?jIneCU;K9JDU>6<+OSaQb>8-QTHh zrubq{ZTF?0@VMAfDOouKodYztdplF-v^wG9pWO1Hv-}+4H-^$t*jX0Y#L0VQ>A&z> zV%>eH>`en$pkoy~JJDU>e7ZYZsrOwzVFnUDy+7)KTP|GP-JZJFo9;v>e!&K|W4`8x z%6kyo2KLVfcN2!Vv*pt$8@Tf`%WoLMy_=V%@6)uwG#UAU5$?J40CC0Ek;&@&p6x4o zNUb|&JxA|DzL2?*6T!P+p9*-eGC#%o3;%X&lVJopFFxs#wC`o3kP6#yzhI5rt0K7H zIJS=qC@?rjb+xpWYBNY~ZG_I{145J=zQ#uRvqQXvXPq4CNG#XCZl154#UpK$*LM-T zao!j0Pf#AP-xWiAt+(Q+Dg!ki22qKpJ90V%S!ob2sw?39c-v#*rZ5wYfN=8syoDC` z1UPXM{4mHjO}vw*d0}ucgpX7xNc> z!6k#QB5ivEi*>Xn^Q>lxY5zXWB8?}C3G%NGt-;u&gJ(fSjd47%qz|s%qi>K%0h7UR3E?9 zBpkYlPXjbRclMQG!#|L-7xCJqPME#wi0~&12WfRvYRe0f*8_#OvmiZ;TsU9&V}ZeW z`_vBLZSVtUv#&f)rga-GevlI2_6e5{&t>-6jVqh1`_2jh)N!Hbn7Pk0X+G!ItYOMU z!@Mug>L+%~LK%>x)J{#(@fZ@>Hju5kbODJQ+e9Ppb8mt@>9_bW*NB zn4@yYZSd!^pQWIU>hd$dg+%+qu7L?(_6wI~ANsyeobEYugQy9BO9L+LsJ9y)g z|96LO4L#@K9t-jMH#;m+x#`%iNG|kpyyjsq_ak2hWz4pcaJZ50J;Hz;=t#UiA2{H; z!RvuXJu6aYyL5+oy|bytsL5j*-@=}U`N(TS2wT2)U++b}635}$RUL>iQR&lDHRtBo zgwAp<)j5I0)&)P8%;%;{24kwGHBKV7;ct5zOw}OJJAa$3yrDCZIxnC7QMeH?y>Oo8 z;Lhw6niHSU{Z!|4oku&w=$z_86zGr50hXpKiC}T`hEnzyC*P z4CXcrw1w30oX}y+FC1fC;Yqa_So(JveO{)(&(A!b33$KoFN_^X zrFab*6-G@2{9Rx$hh}u!XsXVJsV%bEkRIuzE-aesWYk!wf6I-Z|oE!H;y=DbmfSZHD|k+D!&;K^D9> z494u`&(0(q6Q=i%98ACPg7riWd9y(ge{a^a_g43%gNPRe4>!{w1R{SsZ>4_V{m=Yv zr1C`~Q;D&T?QQ*O1!B&vccf4#Kah{vslK`-NqoCuzu1CrhPt*xW_XRoR!n19}_yiM8NQp0SLLvDXdBDL1M}{{uF!6wYHZ=fiI)d{6BAmhS;L zyhRgw-VZ_OhTvVWzBmGW5C&C)2icZ6`LPL-+jJ^OBwmB|vA<+I#QAlIV-np*Z1+^p z{>n*ylSE68fn0SvQhC$2ek4ymXaq;-dwN}p__(vO)78I1F(k3`Mns@fCjL+seq}Zu z+h7la^uxiv@B;!9nBr~G`RdBQ#x-o^hv0t;uY0mdKKFZf1E?JHZ{EBzV9o%E%!>j? zUn$%6dKnr5T=TFoxzvPx3|pIO?rZo!$$u{bSAzGbSHZgweRB}_fxrQsfKN>B(=F-5 zvij(t44uCh`0AhYI*GD6B53ojxA3XVWwR(R86;b9!iCGav$O08%bgiYm*FF8-x<6M z-WS84T#5rHSvRyt;6zp7y^qH^M!3Q!0`&Qm0G|MZa^HK3-*Z+|C&^K|Wn0x}iu*-4 zV&)8L!p7$$===P=S&`p|oZN8OmwYAsmPh&dIXZ_D_(At5iCD%xhx}+P_b!Zp9|ot~ zz$aFD&W`CblAgdmlQSq)xd0#i==Rr-lct_cp$65NKx;=QIe)M>4Er(R20NJ~ce(^~E+1z@e}JDKDb@kF zU+QsfNW*wyOu*a2{gmf_0P_lRvHx9+7T?h{>@7es#6 z`jR2st0vGFxQAhLe_|}-lFG@NPp=b2Q4F3b@2=PLNbsl_(|A2adNJOtPgnk|e+)Ts zK*J!tzucqMzuLNla?ggDX(QqbzVK-)hvb|wKA>9v!!Z_;n9>Fl1u(w1Ng&+>*8b$c z*M=if+m;U`JQQ0u-VsL47(3OVzbRwuv_2jSB!^fU#EZ-AIW!-S=YN|d z6W22=>*h;6Aq&QAGz&Mb26V<`zCfmpq-((4wZ-$2*P1UH`O`=?=2RR;kAXc}J-8&b zVovS-B<(SPvHT<49>py#8jQ{Q$E~G*meO`cXDSa`{j>Puh zH{axIuJCyq-M@7hLIxLcY)T;Ui+f!$92ju1B2M=VkAn!5q3cbP^CX{f4g1D-=K-Sa z1)m282+vq(I0IA0N7Bv;NGz7ZK7kj|dGXYq7jBh+Q4%z9p2U1-$DR^(Jy@RK;!{S|u3cu(Fbnc%8@)&Y8@;PN}TQver*t%#88zp4E& zN@U&rPP+1$pjUE@*xbIP`d&=5`WWk!An`{|GRt|lF?`yRZ@%!a!RPkX=@#OzJ7uSd zo?aX@F~bx{j7z_K<+UN_!(m>8Q_Y{z$@ao$ob|PZoEb#j%2j!tmjjMT#~iQSS^yrbJQuQksR9SXZXhp<083y*KJ5hV`~CTmGIz~bkxGm! zIM)YxWHt(d2fL}?%k7uCmZa-!1E~t1GX}0sIL8Q|^fY*f>=VacTK3PFUl4DebER`A zwUYnXs&5AQeWb_C!DdI|x~ISW@@ahAmXkj;cGI4+lp#9*ewV2IDH)dy;mh5N(>$J6 zU*dS-QsnYkH~#Y>c(2Td%QH#;*-vFg5Mx#niy|dga=x)u_FTJfz&{54u^aN0oRd3& zpO+u+54~alRt?)%rN5Q9=H}K$%rD$W1YTd${s5T;<&e~I^!F#O8w!sORSs}k6Ftu# zcMyL6)AOm+m;vPWO$qkP9XSmXl?w;Iu<$)DTry-2hWjOq*Q51As2Ur&20)MG96#W_WsK`rtxcod6S#(dMY2`UK#OUP5d>N_VU7~ zxT*G|*B&Ku$@pN;+(#5EUPLSC0StT>Ok?73l%^2{L61eZ=-=1UtN zkGuXE^ZwNHtN-}*6Z*wCz*RF#bN2P%ljMTD4V`HbTmz#HgU`?0F7z|Vc^Cc-(Pu^$ z8^TxHg!c>cc`R1pXdfFFsJ@;zVZ_*h|K)nopL`xDE! z&+d_;pN*W9N^qUTwTJ#9yo{2==Qni1?n5oU~CsvZa&qRo8&e&p9`o$9OL{=x`hDFRV61?xXfUCeZ#ZSSYl-Y=}M& z|D~KGCV)TYyEv)>IInz8T3IJgd4e@e!lQY#(Lx+cd)X$E)?-k*g#DQK23p5c6TWZ{ z^wYkL?eK|m5zYzd)3DP7-Ug>r3IVPgwSQmU* zD_8ee?#;F5EFfC*LNx}^S=m<=7(a5J^M8@lf&==0`G4`-A=khMZrm?2ua5CmpZRX& zu3(?6mC{>tZrCS>vv02ndh~cM-rAYkV!M6k^ib-;eQ5oMh;P396ZjIqTQ?3CDR-b=+a%dM17}&=!kLpSrUmDDS?sT*8vSLc*(?JC2 za#BZ96Mk`Ge&ITd;o!qq+3)ke6q?Sy$@g~R=lByo4#{^6!n`6N%nJrw>Px%r&m)cx z{61G_- zbMc-Q9ehr-%qtVBxYI?PBm8nBi1A7GzA54}_%AJ8d97|SnlJGt@sSS(pM|mE)2`dn z7S0nOF9tXI$=BU1#60W?4rh%V8~@+aM_WjG2WFczzdAI4_5(M1fBq{&IAn{w#HYRR z-!jB|sFm0!GwlTYbugEu6rKlwp#S`2)}gA!S)@2&ol7rWM(Ja0yA8}U^VMe_?K za0oFjvfU)~VR7#x`YU_#3%{hJGPk@pq9c<+&oR zt>)hsChL3BG(>xj7Gr*4U;I_%?bv6!0{vi|`vLc*GuLN9&yxN>!sM3 zhWAS%___%1Y`f+MY+x7KwS6WY^3RPu6HxpH=esSRQe%?)HExn^~FVlxt=cT zu>WCSZ%T;dk3Vcm);V(^dQ*Af46vB+qfSH+w_i;iopV5!Rdu|h{ zUS}7h^HQ-bMWFpH@CP%&eZH^sE{p#2g=dAcQU0(+dGWiD_u@JDcmVb0o`&yV8=9~1 z(mY%}d+Gn()YPKSo$JjAv|8WZ)dmqCXT7$WXd7bMCG0O4;=6_)XYW-Q2u*&(SongO z8MGZ(%Q{Y(#PRV>k9}2#?3hf_4+397kO@IPNtHnhI_ZdO~CbX1NztiR$(I1a*i=|ls%9WI@X zJ|p4B@Ao8bCAB7?_nG;YFH<#dwx-Ca!PwyenS?sG*ebhYm9LJx9QQA}wM-G6aO+9% z`hZ(({=!V(11r1z6!vpCAS6bPq*&OZOY}-59y6Z!`qS_kNL-v6MvR|+G2f0VGav)` zAMTS}QrAk`(Fe0Xt-z4J0OVPuAIXY73-&ur2%&R%*nljzA?fc(^Cr>Hn>s4z4*jyi z`Sxf_Tr0Nowpr(fU*k!7gz_&Nj90u59+~u$<@J^4y$ANtlIOx+OZwm@nxucVtnCQx z&pH)JR$!ziJjhdSOJM>r-Yu#_u%7$c=j-*I97BM%+4UcQJPhh8|D1o_hymSw)U=A4 z18_M3au!&24T%?)2li^n3HrU&S1U!O@xqe#MUN1hKen2fl zF7n81H!q8rF3azWyTi}V|G8}|JsxFU&BFJ8_QIn3=%CYgb~s;hhCxnokJ~qf6XJwfLg?&ep}K zj?utR^R9I=sTJa|t%qbv-sId%@W+@h=rC63lH}5KlW~fzwy^CEbxnZVyA*I?U;kA6aFh z_uOadFoL+&&+<(aiU0d6D}6wmYG_cR=0vlDwMPk@0_KMlEr}tn>u7=ZE7!~0Tq`n! zQ|wTQkn*cPtbLC9zDM|L{w6+D{b9)O^IUi3AoNP$N@|+Zh#&7hZ(WsZb0C4n!alli zhnYAY+7o`5ji|4RDg1Jd^$4LqP`}U`^FH^KTxbGrID>L4d1x>2%n02>c26Nb$2G2+ zuJ>nQG=biFECI4)&~=b<*AS(7K-6w)HY|0HK4<7Scvl&2O6*! zVcBn9U;rIqkVE1tLwFm%coD~8y^u##KO_{W|sh4Xzwobb?MF;@yVdFD++_-s3!grhM&8C+EMx2z1LEzG|w0sb%- zRQ%y7`R!ef&cxJ&m(ww4@Il|lle$;{COej)y!KOR1UwHKly0ccdKdIl<|O0&BK>-u zbLIO!`b~=Vu)p$Ee&I2*=t=FDT1oQQC*X7EF9`j9j8&P|6!{kz#!vkZ1TwXaBWEyf8zS!ANPjPL*5&DxM=@IcL(|&cmG!%(xhMG`6O4p zF46xd=c_Sh;u_cW3$7S~`NaE0a72~BnPKj9hh*(tDjiLo*^p7-uKJ}Vf*6OH-zbH+ zMr_{AG|izMi`IR5cM{))k8O;;zX#h2FQWbVM9mQ&08dE_OlJ-5yBWO_^FKe}pjR>` z;@2qnlVK<8viz0tYWt;eA6I*69_48nl0N!^T;Mz!O7B`s(guUPXO)ctGBlJYunt%{_(i9dpg+Cp-t?+8XWpEPyI7 zm?}0*=Y?jT%6A*>L@bN@h2|^I?xF{A3^^8gHr_ASNJ;zB^LNAe8Sjs$%d!Y@yKc88 z#HyZBCRg{t50fbu^3AXNeI*|`bfuX(A?M_mW>v1pT<~Z9IkoLcb@<2J5d8YVpEB7_ zkNbsV@ur@3%E4}!M4*a{3d4Df|Gc5&E*OmIb8lf)A5FUm<(6ITFFu^JJ~o{Umx$#mjqr)EY6>zr?ibB zseNdTJsp28)rt)H_s3UMEji#-{6vA#!MOlAdd7hS1-*En{&`k^O*UG?nB5>yx|kgGWb5ANA7a znD;>&JA5upKUch8gyTGz)JNJNM*G}5*pk$_d`uJ$*rf{=I?8g{wX+7x61Jx-B=&_7 z;Ei*E(UbuC$UK##SH>C!uC4JRek>U8%SaFVL~y7%*WRM9tMXAEnTX?P*IR^9ENtr! z1{D}~oO9n9LvXR0Rvz>vxbyyrYY1*7_`%JqWfIHz87F+n8}ZP%$LLXGj#Fj;{mpet zrLt%_&mZN(Wnc2BgbxYE{MAtDz25tBi1PGe@>E}106sr+-`_Zj@3~`raJaaC`>Q}o zEz!WM$ZPoz#n8sLoiPs>YPNVOPhb;M=QZK3zRn=k-nE%26#$*JbPZ1*j`%6KA$-LI;_5%%xCTH#%Zp#W`gzxet%W_UdJJS#s0OO zL1e=RSNDA3eolV@{fBFQ&FGa!jr991;E(Y<^*EA{p4e6HIeae6huD)q^*HC`8BEu^ zrpD!0MlOyY01+|5T{W4&Pe82l+=J@|$4Mt|!9JPu3Fy_99`t_x%KdK_N&zV_D4AW< zw`6jVT>H~(@Q%0-(Wx1gWdPUp1j)&@oM=z=O;5psD^d+Fz z9MlLLm_3xMvo3-bBKA1C2lRd9@)uuB)7&}oFU%qAHkYUd^IitUNUwY3EL+)Ar`I); z=(`V~+w%Lf+j)b1en}rK+9w5$Sb6SiJ`CR@Kj5~%GNgajwjBvZa*(~|66(Mw!Mb>| zD|Kdr-8B<&oGPJT7}*MVuh0cp)IklyGy$RkS+Lfdfl`+eslI(nn(N$OWO;)rA2m;Qt`>rair0|V99djb4p-qU7!D#!S?lk9IVVt$dHz64Ln{dIkqL4zO*9G;p+USg0f zHkhZqp;or&aAz;ZN}i@3^4Of~ul`et@_-uo5%;q$#C*;7W8Oxq@D10KwHuz#(o-FMP5UIb z#M7&AObG9T$bf9(ik?l5f4F&DHNQC*xpIuHpg2+y@fJI(8kwwF2ep<&U_ zb*!uEMX$l%;RoS_Fsg+bo0-iD4d&|hzaK-VdY0;Z#MY16Z>&crqB2#lUjiMSl_C7| z2W+=(1%EO>z|RI~Z!PqF@nd1$XPeQBWLU z)uT;LlAr0d*-C6LE4d<2`JPq7wWne;<`)Jg^>LQ>plJMI;iN)khzWk(1!#$FFqZB z_sf6zKb3qOuXFIveJK@&7?TA(HLNG+gR@r|g&zA&#PRy1ve0EhYW{FAJBk>;9O#Mt zJMU#piPRmfP63mH>E68S;a{1+`(vKgG|bDKU&YVC({aCrMTYcIKB-8Iw>{q_M|M7paaY`8!S|Y1uppGnSVI$ zbsi-$*!ehkee9d65iET=F*m>DLXn4;_((7OZ#hU_H^k4lu%bNgGQb5DKQwv@*tTBc z1@sqwPI|hKaB9~%5Z8lWi%iqr%%!fhxC_W{(-LGp>V*46@`Ko0uwT@nZL;(Ozi|zb z_j}#m$(l!jFJ3rdB|T^&@I-&(c_Y_BvlQX?A6k;8Inw{YW8wbRBvSpL8T|cH#B57g zR@6RN0(vFuWtdmwy&87jScX0McQ~gC7kaEo^?!2!9YUPHP4icVYzz=thQlvxYCfPjcp1HGxu+Ag#Qj>P8r-6{M=jwULWgMWlLw0 z7*u!pk{okif&0SuZ(IPa0N$ao6L|QTmZmoP!V!9dz9i`Q|Dca=2zuQZ#I zr+U`bn}+Od+BwO6JOS4kni2GV)d8U4N}j9C6y(92VKD|?)XPd)XK=VHuXxALBn z%i9lqpJQZkiD|^!SKr0O246ofTV<>6zcg0#)&`!r%FC^vqI35P^ba5wRpBc9P4Lfu z8V9`_al7KUeDNJka7&eb`}9Hn)Ef8U(&xhnuBv&5d)tvaT#38A(dWShqV85&D+N9m z4YqYu?hJn$^ToX*qz7^T+x~=y+(J*x`%lJUbKAz7c+8C~;YfcO*H$`#4>gU!gC*Sv zw4Z0SSH=lv|MoWtBwX(QT{hUSQ#L(b`XO8w1_`(Flxx25z>i$Xqu0#ei9!yF|NLF> z;W9W3{`d!smqBh-^qxBj#4(4g=E2mFZ3-W;U%~a|Js?K*PWhN$#74ZM$dEkC`ikNM z`&1)`1W(Y#U%BHILuo2vxAS`9JjQm4MGk~5{H1MKX|x4cp5pDU+J7)BL3%qkjWv^C zG~Qn_25_BEPt5nsMfM7jKEj09WQwkUp5zTA<@0db9F&C#p~kbd{;J;7sP zKerK1aE~8r)WAo5s8y5HXX_Rx{nS^m&r$CDP0fq^=tL)bf19+iEBZ&dV5DmxP3QCR zF7%YKP95*5+=yFFa^CK~7(ER9`MP>)&)cR9@dbT9I!*oa*Ncq}yh!httv%OUV`&|N zG@GJwg@2y(a|$^jX1AoYAKl$^wV&rRv&`2kz}aKGT~(ZOgxB9SRr@bT`_oITL+eyU zUoysuwoB|ZS3VqiWyazr`}$ZlFFCis;5z1u30ArQTivzn2<=rH971tFqk!U98@*14 zdlTCQBLW;xJIEcyKKYliTr=EYOlepm0izYU_@ zz)UoRZp(d5B@E;cxbJEjdgU=T^}TDMvcRlZyrQTb_KrEtp=Yv@u2~}WV8CrwFqMSu zIvu~BYr6W4iy=EKDyDFLA8X>-w~Gwz=cq_%Th6E&g`Qk~aAo)tU++H2p#;j%?32)6 z(jT?M2HipPlk3umV`FC;HY11=<32u4kaLzV_@T!-aRKZlLvs8X$@;v4zR&yf^;47e ze$J0p|A65^O-~^a_%wnTPrn@VOTFCYPeKaPwD-<2hCtQ!i`q!)vrmg5Lj4(xmDGNC z-(_t&nx!{q_Z#Rh(o22L;F#qP*Dad={>P;H)T039e_eQGtU8K9n2TOI7kS#teg2}g zMf>feTnVT1m8;KTPr$}v_~s=i2EK{#t8T<-uii)OlX<_0d7t~%{#lht2heWlj`^iN z2eH~GE63wffco~qQ~Jnj!@l8EjR)wiK7`o&jAb54J)w zwarQRoDmbPniu#pP;)<(!u9;T%2W47p3Zvyxsk7XfQ6n^l?^QAp`&8YXWErU96PC- zd(+?^yhnfFeqj#LhgcGR*X~?;$pBny3I*}P+{2Fqx7u{5a3R`X1LwkRQr~XN^OgIU zmMZ7b2gk5SW$*@gN{8e3H4^ zQ4ZNP8#>Q53{$*`>*`j`b0oN~7wyIQPyD!{ZgdM+gziOg>fe5uKs*LC%DH0jc=qX9 zJQc35H0GjvU(K_Fi_8AcNh82(Ms4M0%rD|Qa~z>P+2AQLpZr39^fxiS#+;~qpgV*0 zT!nLOD9_E?V+d=Q;H(X}&$*YSbCJO+R`*X8WnUIBJ4bcoKX4x7x`1V&gj(Cr-}G_O zo~FMYB%jq9`zuZZkfoXW8(JiazwPQa@RQk3{VjU_Fb>kBWD3Q2^>$u}_&`6dL9U$_ zqv)j^Gcx$>UsezDXCri_LBcUzIyOal$}iHC&j9}z+f)0VAllLr!HPejw_@K{a)GVR z1(C?xY`u5tQ~43vYZ^P%}q z=_&S92f*^BbuDz2eLjO+iDjp*J516)`!OE9cii)~ywDKdKJ?0D;PLvM^(Eq(<{vV} z=eDI@ruL6N0w)5tipfo}ALAbG9XO9M7d9e`n0Hsl0~}8VyVdkj&dG_u!qwwa0y@r~3PYoeB25&o!%# z)c0IXFP-~BG70#QQRr?cHnY37JulmKZT%bhq{{m zG$+?*D7`mEzuf@7=Bz)~?f>~C{+s=e3sc31)VV}&vgZKq)Ks0Ti|mN`Zdu4_GH3e7 zc~%k}di9G2<3qlK?{^H3gQp@?k8T^P++{mkJvaQ~tvcTXN9kvX2Or9VYv6jhQ5Xk* z!A%k#(?aC;#h7-@=nc&2MCkjrf~W6HLLVZFyHKpQoX9HB(}U(-q$i#eFUYlj{bkS~C(hRFq!soA8f` z-=2_v;XKgSp~`*z)`b9pukIJ@K<_rzZoD8Zjk+;-X|pSp;DP2=g6tDlEHl%k$qbIW zYV1M3=ugd()%WiZqP(cl$utGAnjZ&1ujB_r84vZbACDkg7>pb}Q)E7SiSwBF%HSWX z#lY(v#KZ9>_2Kvg&~Vg0 zeR%)U2x&UubsGWjBY)n-V5@;QC8=s++|4(%}Sv%#mDk8(6^ zl2m^Tj-zH+#C+I*{4D#;b8i`Am?IS7MEu;@9f-XrFx(Mc0@d#bKMcENs|0vzPt!Rk z;u`C}vG4t>7(w!;*eA2VbSHxtFH&n$nsDqUSB1|8``-K?vI(M+`M11Sx{JK+wW+zn z=^oNEg*f(j-Of+%`;Xv8P?gZ4 zzO8S8Rs66n^V+J9eL}MCmHp$0Ki*#xuNn2(zdk=s&n-qjS_a`Z4jgI5FDH6`dHzhm z9E&mdHlC}ZtGtRN)`R;twW=Q<_e&9KE%Sy1(;_ZNYJy(dI=y~blZt&Za_`P~4@sZq zi|YocyjWaU6kWf8J1$J*n*Y}Wxw+pEOm7{kb2fOeq8lxC5MH<)=9jssE8cU*Rp;Ca z@O?8Nv%*mAh3R$KkmtasB+BJM@WvP3#j<1)zIaqLbz?BPlZWK2?G8pz0FNJ-UpQZu zeGKzH=d5jFXg(Lpk0jMOJAyCC0@P+(>Wh4W3Hbr8`*AyNp=~o5;C{|1gw60@==~h$ z+43j2Q_ve)jt&t2|Ef8!4CyIc3tpcrR_tj8_Yy*Xc?3LfY*+ZaR6nb2yueec`=nvCmz z*nlkYzf9?h-V^4yVt(O$*wXSzw2b>`!s0|{T(<~4R#H@Z)2PLU{K-zjRet~QPud0!^^WtIw3US$?{s<>#(-(? zEjf_>3H-nkxFSMgg-=s&PcHHO85fkI^LS-HT86yr<#%R6`=R%cweVYF(M^-VjjV8Q zYqOA4lKv^oFU+BO;0XOi_K0@E7dwVNKCbOJ+79P2=9{!EkiLP^gP>yo&)Irdgznj) zSDuG0$0x>y#K!FJO;}H#I`8C2h?%#xLBF8u9e-33yAfVb*Be>Q`g~X!|Al9K#gP4{ zcRX=CenjWKR1rp~-=Uuz0%osrBdhjp{b7=Qv<=Q3nBKgst)hrypl7j1;p?SxyF~44 z%mKF;cC=d^@=3VzR`kEX_}$Km--mt7>xvBNJ3L-dxKO*17vodQx9BC5zTxmt>1jJN z$c1)r0r?CE>4Q0i`9=Er9>5R7dD^21%HRJNJa_RuUo~!>cP}*v=P|Bds_q#=D`De( zvocxtnhTEJPQzHhHT9bvqfUn*_vfCT?BJLL*4(w?96B=oiNeq;JYgLUi+ zv#i>Gfc=j6$qt3kZ3$x8$mh0yzW0}$k|S}As{53DTE@n$;cm2x3kUkf6UR#;F)ufk zV%4k0v&IN0{2foym)g58JwO}W_N093%zHNr_?iq@IBp`wg5)@j(0u;rDAiX7faAe0 z=HC;EKhDp)gGHC?I67Z>gqvarINtbUJMeP|$nu6Ex!s19WWTU|IC?)BSFyyOS};f) z^NaA;2IBp~d-U@T1WNFZq{1|s%=^p=&9ukr-vrTN?;JOi$a~GM7z?n5k2;zx9J-om zA<};_Y9I1Ge11O}t^Kj7;Pdld={5Ex+_#sLLhjrDo8Rbl8hP-7wrPy&!-vq9^eq~+ zrpC}r_Hkv{s{dwyS^AiU*pE;j-KBHFqw4n?*!Cy!g2D z$xHiJSK3o$ye6GPEwqxkJr-Budhy90OvKcQ=^K$(VJ;{1wr;4Qe0wK`1e5W-A4zRj zVy5WO+4nNFf3&)v`g!_8uVlUVeE@YoT)JJ&C0WW{9v`mff&?GE-vV&Iu>bjZoN|q7 zK|d3)`z`GkEAK4#g>?{Q}56w6b8stNvVIP&~Qyda2HC`q50e|j~Ecpnyo z`vdkE1k><-!54oVb2DQqUp$M@9;_DFCrR-v@)@wF#_#sl>kk}U!LM!3S3NP;jTqN+ zym>q&J{fr=AUsj~fL2^HnBuYXBl=(Y0F>QV{n+F4MW-RmeY3eY`w9H~czmyIJ3{l& z2QlyC1)qd{z$esZ_5r6Qih264f~h>dsP@X>b;!I}FM6;W7XbWYE%CUI1%K%nUw}PbN$l0%g%R4$FWhMM|Mz2k-~+8a zBS!pqE714A{qH`|D{WY~uAfQb_bTw!z8mLc)#1iregO|Xt6vtK!Q6P&CtUCI?|mq? z2S7`2hEjPBMwW}0{C%bFR^^;H-ZrEcCKC4ndW=8svy%U|S|k7G+=nC|nGvr1rvG^= zcYd=ovCsTdiIKVouzJd#qv@**!nWpiw?}ExQ|6LaY%rIiDfr?^sD=FWAeOc;i1}u& z_<8?bfcy~`gSGQhF7~%WB`47PvQ>E&v%$~A`RVY`RN{E*{9lpZN5MyYwN$D)oSU-j zs2Ol_0|zI`Ic07atL|GCUND$j%6oCxF(P}8ilE;hC*6mREq?pvHUvCw$%MwWk=-fa@v$G)7M|$SFJ+nKj6id|Kvh${T9|*Fx7#$ z)-v>PGZNIF^M{%EF>`9yRq??N{RQ(Gzwao7BnLbL^FQYRrba6#92`dJ z+x;8){n*I8YdhmSX1C#@C*~K)VSN=t+=h2!4Dv7hKF0kLa1aJrv#oH6uhuckp12O~ zm){b%Ao6|QxCx;8Z+k83v)F2)gz<1%EyElEx$9r}`G4nv?d4v&=YLT~_y2glZfuN$ zPd8WU#s#(kVaoe!8b(dAzIuoAguMT=Vzhs#grDg5N0Ad-!o{SmGYKsf*1Ff*{l3gL=oEbJAD6Fs zT6n77r<47u9SlfGHByP!z@InTkqZlY!;&;-(Ai3N*pG4YqQMySC-7T7Wq!%@2;#@` zk=`N1ZcG;!8{tj%2=JC1?&q40a$arIG+%fkZM@x-6SN|pdgHh}%rilC&M{XF;hZGL zD;KmxU+FK%hhE9o&w^4`&4sf; zGN1m4)}EKD9_lCC8$rxLbMJ-y492|+r_+eXi+c`upP;TObqY}g_w4$CmyTb)^nOn2nXlZ)vfX3Iv7BcNs=en zFQD?waqVU=KB=<}EW~oxy>F2h;~VmjN%Lu`;8V=yOn9Nv3hastRH9(zH4yqx(bKrk)c(z7TDb+w@b!nGfyvk#qszxY@9-v490 zYhWC~CG*#}$MfV|_QwhISF%32!HF2>v;;aI$1Y-r2a@!+yb2?BwKZGjNu%(%++ELE z{mR()f}$7H|9ekjyHnkj8Or~|evFSh%c|WHo_+AlY~`UJiD@6B@kKip%Lx!^74{i~dFh)Sh?4C476eoN$Pjx+`zV9z^a^maSZ<@-!X zB9x<6cN%CVcHt~UUW{{^!*Sh74tjG0@mjvwq!8j5kK1e;G693&J_+YB*7G_!Y7b)& ze3Q%ruj@wAYkee6_XFsgWSi62U#}X%HyaZ#y*nqG^rdg{+XZ*Zr$yjMEXVsy&QH(> zB%k#Tx-@L(+lNHagLf#V@ddAj_sFrxJF+orO|a%JWAk-C{yY3vTr<7Isy^xzoW~$@ zm;9;{fyPm~YCQbOTtG0xUwtjpLg^ynQ0{3injbvkpnSojX~g#R>gQbvcC9ismnV>L zR*@HzKGfNljTwluRoR?OgLto-8$z9bdsS-Su4IzD&6#NF_1n?si|_nFg!YIGP0{xU z&JV)dYZ#-sc<7Zfk7j^>!TX<;wv_%HH;NzLXP8Gme*phjfcEE%BwQ6spIYb!gVpbw z^!-pGknSU1{O5yLhVTMPx0CyKA1SdgO#H5oRuvj+ z8SDi8g|XZtaUPS;-8+-MW1sC`naVA!ggq?t1mKh7^F!K9y zez$?X%Y*IF6wN)sZ^>hFY3P-r2R?^hSqnN=iv$@x7Pm=PU;5!=ypU>m{;5l$#5cX`+hllU`H2Ww^hDy)N$11kk|NEEs7fuBH z$?$ot$J{Oc4j(s?V+A<;J9^e_I?W|fb(HqkjPeY~IuNh^6Y8s6S@fihIyur_>cG#D}tyQPx zQxkEmOm?Y2>Wy>7;SR5jS-e00*Gu@cGr;S+j``r9N*3jgK5Qy|Tv;1T#C#i<$S}GO z`oyOPg@*LP&5EIth&dkF<4X^)uKva$Q+&W1;3H$da*zLk+m8qTTI`dh&li4v*)Kq^ z6drb$aQ(S!`_NzxL_)93;koZdoaB1ywnCqx6bRfhHq~xiXJ1!m)xG|KuY(V|rTdWh z*rLOUaTR-B!Y4LlE6B&r#Oo5H)ku>0_p+yQL2G1c@60#ghe)uzSbMvjb2MK_Lx^1- z-$JjoW5MAg`gWOvlIcf_fcr@3HB@||wQ54oU{LIZe0`6vOeM%`dl!E8*M6VLsoG!X zUXn&^#aDJIiMS^Cn_r=`qE4vSii-y0Xq#`eQh7FFe~8dt9O!$iVT(B9YD>bonh8G) z9}`j>iE&idTIbVD4l;f1rhSBXu83|iDS<%ifiv!k?qMRn%r%>W2(5bCpEktaoA>7r z^61cxZ4*l^g`Xb}Kzlq#S)Path!P&bW1PoWjw{z3`aTC8F~6`aVpHvW;#hjM#2DdV z=bPaZwP%Osbwkdr`znf0wX$7~<}-Tw6DaECFH{fJd{!kF-A5)m$a!@Am^A6dIpgLk zeaY+kCJ@^~uFo;6Fa7K#qXHMFS>WgA2VAcZ$$!m;ALc7wEP)dl$@z)T?)tph5TW@I zw-ntU?nzVLIr1+o7oet|T5(|J2jqddk9nFct;J>5ubf%^4W}*2EvRzd;25sc-xlTF zt~6=>2Kvhwe7zIvzS0~Uczx{4YIUWI>gxA$g=60vJXn@RbAK}t+k0D57>z}aB6VMZ zA)MjyG0Od1<*WMz%+tN_xZ8?7l<+$Xed!iIkjf`3pKlEEV$AXD0ly{p1G7V~}yDNep>NbhjRcpAko^f5s)x22cEeZ9EJ&mr(zy7Ct@ z8XP+Kfg+As)CcQ?^BBKR>%v#bPvkO*+CMxfSaVv{^HsM)-il?p6}Vrt_q)h|-2#z^ zio`YA_0coMy43Fe{<_y_2K~h+=GgX*F3Pjcb08dd?mV8HMyt_QbD+H|?O?82uLQ{% zuf@Dy{`sx13OZjkB=?2Bs+N!^)ikYCw`i=e9qFludXN`fdWeqq3-Z+2o z$iFxOn{LbwP@h8fDi2HfZkjr3irV{(hMu*UwhBOcGxae3%Ux^jtYvIUB!We&L?QZduxw&>>uN z>h*jy4`844<$8f1hW8EY^W<;Xc*cWiwgL*dVxO;w922J3;mlbKM!=3?u43E=kG1;19Tpvq61F&L0 zC0Bj=xL>$V<~{D0ny|ZexM3#llP-_@r9bdDi_Q5|5nzF(-l@d5<*GRNrZCU1e?5#A zvr%%Po%FN%_e!E~5gVuiy;81^(yH%w#C6BlMg3V3n)_=UqJ5`bZFHXy?5)0+dsXGR zTdfj$j<=$?sIU!*Yp{2m&WYU;v}bY7RYUxEo#SaH1IuOyiM}3<`{gIhr)zM&W$w7$ zFDCI<*F9;Wb8LV>-|)_7{r)&q&#HTZnu(Ok10>!r%(rfX_gZ&0T7VD3IAZGv^wx?I zx5%i^2jTk_HOJ!t-UaK@$^N>p=nMZC7qv&ZsDJdH199AV%Z4Y?Ym3lYTYS{wfq;ft&|nI?T! z8_@qEe9IZ6eQ1H`d*Yn>DO>6DUe?k~@xVU>!*@Cw$K&BQ&l)@j9(e%&Bm+tBnaG_B zatj0K4&tSz@~_nof_|}RUU&4d*K-8UBXOt|n-0Du#~{YcHW9~)-VP6=F;X~Ls6Bqj zzu+?bKH!!wF?GImrA*~oOv%(f99(Cd=U#<*U-H<80#xUX%c4J+=Q=Q4`zkv5kQao0 z2joPUhnWk12g}%7(BA{q2nyp(L-yw@!4c>F)MTsr3nv8XT=^b3HZFqr+f(*uGrXL| zcd@S+c|^7&)%GMl&a_>SL1F{K=PCQljyDbI?U<8Ir8&TJDVBV39Di~kS90_1m#3(& z7WvA3tjm`ksy?`bR+^MC#yf3nzV2JW=LcCj4S8_ zAN*4bKM4vAV7CuCz)yA)cKyAVB9uEfKjcd@(z)I zVc+nZEc6!gL1sq+#r0>B%r%31n|o)+)4;MQPI(YS%pb1@-t%YF#H_#c(l=^pA;nywC(evwVkI|Xm?C$2Z>xcygy3&nHO)*?gv z36&}l_Y8eMAV+wHjo`PGzOWgg>Zi(fp+j^3#RjCT`sL1IeqlrWdRN^u!Ow4TDO^8w zzgf?nZE>z-oesRQ%5Gk}{HKJ7&emvuGBM95^+hx>F488@LwjA`AwPs(O-o`5F{Spe zYiWd7>7!M3;cvv6wbWYD90Trm(ATSf1HR=G2&2`g z#jr^%)N{;w_*KDGTUp9a^Ahk|a<9=8@GQi~1ig~?&lz2lbq;?BE)8=n#%0kn?gLK` zC#m%g^P$JLmzQ_%k)(YVbI^~4{YA)E;P!}d7h6e!O7le$rodF_1o?o@Q$6 zaN-)z-)?zo&MV(pde*L%9ZBa*Feaj>k9EP6!VKj%eMr-OzS%d8dhEwIn@v(@f_b0y z(GH(-bdt7)FU%R(fgXE&{rPVrXfuP7--RgGw?~_kcyLg}c zX$GD%EGXSD$@{{t>Ii*)ua2Tj1_ENgy_ADRixP?BPuH&n6YTL=5Pa;{8&kN%`m;==+juZRMdH z*~<}h9oXxQy;CUa(x++D_N5Wy&yq^V5Vk}ecczl|yGDPeIINN@=rj`HL~X ztYIGIqq7FrhIZa>(O%e1m|xZ}D0Mb3KzUuzUzj5oHNlG*v(oTL8S2g8J3L<{H@%{% z=3>T}l;7(TMtwxkFEp0F2dFAMMz}m5z=4UxYv|y=88n`YUg108I@$#ImK!2wwc9pX zd^%290qXB+kwq<7=WY^CXhlp9t>B{^rMuu=Z~-soeg12j!6A_~-{G6aVZkAKQU7?yWT`^puM`!Bb}+a+>{6`aO8dg&7B| zbP+=ImErj$e=qp=r9U_czA5N~QBQ_xzQ}Ax$MKwN;+{lYPjSZ`y=Yv-XM53L+vUjt zIM;!)@No?MwT!=e-CsE$ZIDOiKJe=BTjq^-Y_qMZ^!!{X2G@uOhkb37w}UxP_GKU9 z^?6tAnjyX;yLjDG4M7sPP3E7058%J&UaP9dkfcTY>|<}MU{sulB~5pLic4pEpn!3fX|*@ zHdOn3p;xY)W)D)3gXZq6X~Zt~NEcV-IP^)NA6Tcty#Ie(D7IOjNl8|Hp>GJyDJqrq zX-u;A_pO2-1{nShr970Uv@L=J!{VAEy&esbuN3aa(`fQIKEoOKPvUh|^KZ~M#yZ4e zTk6;v4NYH}Y4*vUr4C_^4v#$&shj244(zaeMw*5B>1>|QEd74l_5Em zGhW)ue!h%+Z{Huy)m*`brnHldWg|@5mkmCQN5aLpT`A6Yp64Z`(vbnu}L7#qF*H(2=Ca@s|kg8!8c^oN$wk@~%30(?KT`eXpx3^U0(;c(3yOy0eYuufYY8 z-n7!lzgJ~q;T59*t#VtR#1UE!zWFXCNc{VQZdhq5=eEFw#mlYI-V_ss^ImujdQSPe zdlxAj%h~Vp)Q@)NOaIc(!88}Y&-IVcjW|CR6hn2NAFf?C+WLjhUt|bh_5tP>?(MYC z(O&XEe|pG!>+eFzob_;4{h==OJJ&%JIA~Af_%!82Vcy>jTz%E_1p0_L$)@3XwN{v`Te@Z(l%og)1>Gx7cQWdPpG zXyO{yiw)uNCOQ$?5Uq}C&` zS$pP0B>>q>s$iFaOYp}m^#{Y*tzW=e&(N6Qt zJ(EcAj$U}qbKm9Y0)zQUXU17cFpvAd&tg3k97ox^ZLrb)%1m$d(Z8)qeC+L7IbV1) z`Ph$PytSOeye~S1UjlJVxyjaRs_WqWat)Z?pVkKv*Dm|MR3DygRV#^(HQ6LRcR%jK zUI@I(^)BFGmnc8~XnEu$m`j8G7-QrYnS*uD*!GKW6?&h<5GPpWe0XKrL zKFW_dx>vPgpUjK%$WZY~mYVG%{%Xr>2ZCyz@xQH@AGt>ke%=(=W*=`&pp#}KH@BK8 zh--)cA5rHWm({s!VNon7Di*}vVn?u}p}0qlh#e465tJsNAiXJwpA=1OvBhYtu_ne| z5>4zT_TE4d6#;v1nAq-`8P4yXf6mQ4=S1@H?ft$pYprK(%`=j-E@#-R!u-O$uiyJA z=W%nqaw?yNN$$I~lOuKIFT|T*xo55LPLR3r=RL{l7pac?0pFt+5)s<=T!z3;pX~y4 zjG639`(obTy?)~HhxegZ@;$E`@?tPp|N0(t9WRi+1SoIymY4R|b}KO~*znoMg*eW0 zV=4NP@jmmakMoH2)c1CpYh4;ZpkOT+KPixQA^rCGr(C1OfYi(m5#S&2#T?vM<};Kj znMCzHkQi8u{^NQ86XSa(es9}S?%gRb$=?t1NTaFjZ}$qK8P52o_k^FH_X+LL`@ns4 zBO-N=kcT|E1U!oj@d@SDQU4g;%Ry|%U+b-N_vb)jIcmWf_+j`Q8)YN=vLlbPC=F^+ zzur#7^?z-^;o#i+%6#yyaqTMuKYx8*)FNLgT94ww6-QN` z$JJfFCu>Rqvc$`c^vsl*dtnQa+QAK?}sBVhCy*a zKivO#9$W>ebra;Qmh<-keH4=8em$JZK|XJcy&C`bV@H+pVQ?>J zKf!bO)+Hwy9x6SFZ)~BTvQe>LG&SMi;c8#e<-Nv%j|n;D%g^BTx!3!Wj{C6q))Na1 z={1C2iQi_}M2~dsd;8UsPJOD@cj{t)V!3b2dRyU^HBGb>-$b*U$<+L4yIUu2+7q^$ zX*-`rk(`V0CuecrXf`;Vd_Ou6PlJIyxV6Vmd-qP3_Py2(SB^o5BXON}uuX`(SL~th z@9zHoNXYqQ*?+ZZ6HahRO!~Nm=s08ZV#1ZFuFnCm!D^A0F~i? zfunp0wW;xc<{IZX=Y@TP^tv?kptAV6(yUUcs8hKgVv#dp`|{Pgr8*z{{DsVaeB!14 z{m?Y+?U@jy{Um;FR26lYb&NRb%G?>~aNOh3*Xn=sagibS`zAJ;m;5$UbA|W3C7&MF zE{JT{D1O&T^|)=AbI_~(EBwifUl|X6GV{0IHBS}pDynhPliqq{Vsu+8r0a!L-%HVW2p}0F7Kz9Bk=upo}Z=Xdqxr=ZdvZs8SQ_$ z>5)W_c@JI1oSO0%W_z6OQ8Dj}9=ajdVBWzw=&s^Rs2xI#QEX%3PlLHor-d2S|7F&c zl_y<^>r^6tuqHh9Gu)9!w8|Hl;=N>nTR{m_Cd_#2DkrU{`D-=o?Bd8(# zSz#Trq(8)U8S*U*h`JsioMw0QB_Um0*|a)TbJ2b9pL32mBU<&vlgNuX#KsxlW)V_o zOB;Z1B6Sekkgw$TKKhZ_7QUug4apbgHBTqB0}NOU-zo1yswMhs4^Wb=`pAo_kYMrP zALDpeuhI6zcFpoTqlo?c_cq0-o_ICS0QKqTf70U#ZN?L9viy{v4*wYUN7!Bt6J4uE zS@2=_z_=GIb25FMpuOTtp@%}I`tw7W>fNJ>Hb((4R3)4qanEL&8Nn4}>sAu2xnbnP zd^=2wTkU_@;9G6&L(pG%4#WHs$pEz}UR2C>%Q5c^=_lXmtoO^h78J=nV}DMe`G`l= z*kVTfE>A?p(}W>+*>y&*J#d#F?i0o2dqE(UYTn(VD}_S#~L~wx+S|!KAr?W z8Lz4I68ORx?;YtyX~0|mWS&L=%(-qBL~OHfUd~PWGMeYdk`;eI;3u=&VrHfP`TB~C z*psmv5<1!tutaM+;r=ZBkjK3BdjbBK^d0VWq76^Sj2stdqx$ZdEZuAV>nQW>%qx?K z>um?XPcD4t*@XtLWnDZb6WSzKq~?wnKBf7>DI{E-pA(2}JkI7G6ahoX+VZi~1Fx@* z_}=mJoIRwJpG-+qf%mDHb7lW^GLd);Yrnr7agTPYT^w=!!c}{mit*xFU^!Ha84kLR;nn19$fg1#i?=R9|eq_y0KRy|5N zT*WsGjw#m1=l6oat+B%;*U{=+CcO;M%7eW-mX0E~_ZfW_ z+jtH<2>pm?F3ue%C?66RcHYZaO_X!`xx@>!joDXrM)xABMbkrX1>9(fv2hQRDoa5cwTHE z$n5(mUbyKom%=nR2mYAw>Fx&0{_jZV1nu?xF`3Zn{CW=bO0<6eY!^)G7pfXwx_>jH zivZEsgQs+b{mXb>q_6VjCF8dMFVFkuO@!-2gOJMs#N(PX{QUppTXO$+))Qy#fqPwv z{1#%3kNps1^?UwhM^7sukdFBf)BWu{=Rnopy>pGDE0W$v;LjJk3V2Fv154XEN&CMn zQc3Is=fH=VUpQpk>o^j>BsfmL0y~!aZz_%9!KzUZeLRNXUu8Gld)$wu<^13`i6pey zv|F}gHc5pe5~L_9XP8s;fEiP+PLG>rd-KV#mvZDg=_7gHNnK|)k_uqlt;0&jP}$zyXu~HNp0On6=%x6%lbk$^-Z)z z4;%kJ8$}Ug7Dg}6GvvHk9jScrsNpmeJlW3hdofSs!MP08{l_9N2IGI7RVMWx-5yJ# zE1*xD`(oPv9;H22F23{>J(s>EnaTsjyf1Mp{M^z%(6GQL;eNj&E9K(8n5@3ZU{8Io z)%PdyW1`Puj2Oc$39;w81F*kh*(e~{Ub&&0qSTMS4ZJ>CfaV!1VEZea98WWO!1@8t z3v7s&(RVY7-$M_=bkAbxsC_cegGsmrMuKvsaejfOnlkA#d^6x)eHBmob2JXuJ|pxc zEk!KJ!y0`vK~^L7V%}dNf&I(ILj)^*&}YG1uvsMm+Eetqmwpe{zB4MqrtIDx^FFZC zvpZOb{=U`BL?a+)&Ut1>BDl0l?2cc4L57 z%}e0aaX)-DC;Bl82jJOB!kejeCRyJHrwgSos@cfN$^kDLFMUkYmrS9ij0N6_`!MHW zz*Ca_devCrJp8*Fy{K5sH1I$l3v>T^Cn-Mwei-fKlJ+5_-Q{-5;vm=F1go0`nLP$@<*9}O}UX|aI z#c$HnCY+Fl|F8T^(miW$@VxjO_%nJ|rqrrj<1@II@I5ST8n6DMeO~&0w1>X$ ziVw^^h}aJPPaikgpPsajqpLrhf90GKNplio8w`GyK`8>LEHYN{y{Li>Egu-`JretW z#s`c);!V5xg7q#!4P0lSTG)Sgz(rdBL?Adk%UuetDpioc;;3Ne<<=a0L_ zGtN0LpGZ9QV;`G0jjlVT7rnjDMXE%@BL zq3=td#xhUM0VDq+b3iw9^4os!N#h^lh`HQDBjJ}9K5(wgP0cay?_mz!2k_<)PrrQ* z{VxnycvVLCSgTw~)?V;i8ja9w<&~v9do3JD`b!hQx8x$&+fmB@+LCWbzW-SyRY!cM z@cD2G=3-+@%pc%OdqiZC*d?|E=<}X$(mp_+P`Z0&>%BwOOZ)!5jutNF!u7tI2ad`j z#*4oE4SYzvhdh7JB$Nzbb8^S1%O7y(8ua~aAY{OU*ClqZJs66*N-uirgQ)2vc5{rzHE`%+)+4x5mk|VzB zXwtmt*Y?Et!yOv~)L(#mPgw!4<{D4g|3Tp-*em3z#HR_n^b9Fq(H^k}o zP^Wm}Sj7SC;pLEskw?FrFu+1b1L~Uf5G&>{munbH)JYr{c3>dFlF&Qxx+l9xuLR8 z@7fAEJiZu!KPI_~6TZ|03$ZEFvSYu~B-#iw< zCggxn3;V-Q5&n8^PqNjytiC15x)}a3uDKg9-Cj9u=c5Qqjeyv{kPnvN2l_04`}sRL zUiVYK`{{lh`hK@wS0YvEyAZje)_SgG&OtMHf3Q0neO$nq|X@sg!?@ zA?c_0Gsj;K1Q>dunfe4(?PU#%De_K82Q}{;*Q69pSCAJ1hlr58u1{1kzW$2XxLgF0dR5-X_OlT5W;8 zkNxqFe@>$7kjtil2P-|anD-~eBwu^>0{thk>)^_*ds}&HY6Cq_gwBLL95AeM?{2-aQ{`E!nU4!wJT`=$S$6L<=etz!d*)&Ca z3XUP)%7Fyr;iTuWZY-VWB0Sv3cyBg(Fu0LyJL;Q6pt`NuI21k*E@(WJNaEk#Tu$f8 zzH#CkdfYpca?!WmEh$HG&`;&_fZE|@GjWj{%`3X8hsZ0>rcZzA2CLsCmjk5@fqK;(j3^+ z$+V(ka@f;wPXhL}M^IIN~%awHoLI=zN}jO!S&ACtTd=6$Yt zo4`34teK8rKPLJd_G8&>5QVzu~4Vpt7)qC3!KpYmnZ0d`NTf2abCn+xONXxl_QMj<;*h#=<&P= z=i_-SwL@O`&;Ia_IA6gZ;}oR&*v>fjt%eb!b2qWw(Rjq*oFRU?V;DLfNQs+jJ$7 z3Xe>k+x`yt$;_u89;f{{{lSryMdo#bF8d)w+uFqIuy4viH|&Gvr^nrB8t{&VnD@nhF(yiNt66ylb00=$U?0!Dd=rN&7a#|I zV))>D<9_?97dGtS0n&@QW{pYneRy7i?Ru6sAEj;`gS(wbT6;#nZ2BU^?li_l|?{(mU7ADqMBx`i`2`mK3-rZtu&2 zM(wt=`>+N4WZC1}xrrWByFnZc9KAf4pjUDYSLMs_J25}|w<1IGqfhD()+WKjk!zCo z`5JFp3p~z$rvnMGrmmLXJ5e10uGWeGke z+MnhteWND$7^F`fJR;GBaj)CLe(wVX2G@}KmaQTC;mY09CEpSao)Wj+Rx$Y#+a7Cd zwIv)T`3w44QaubHn?FN;;o$6Nd*zZpijurmPvncle~jK*>6ZXMsgOCn@BAo?52X9? zsvlr(7oS`&M}k|ZOKO!TvcJ)tPCEk^tJbJp~n2dpSPg098l?o z{6EhX|Jmt14EoD*E`G)Q(io{S)A{R0Yv9J)z%LCO#elQ$SBcJsd)U`Oc0IEXr>ee< z{670XJln-<-g}Ri=-gx4q$xLMR1nFvu^;?nFN4qIJH;u7byFmvb=N!1CR6<%y^D=C zBTx|Z4LBBj9~zH65BE-d@K)b2^cTi|UD@v>y$k~`+lUW#TAyrU-0j+9PQ-X9clf8d zzUg$Yl+qrnc`2q zp8<(!BYaaZ|inXgNNxm*5Ach#jmI|MC z0($s*oxfsq{Ht~KftdFX!Y|mqPN4E!x_Xmv5&nE<2v^g=MfBqn+bo3NQpv|e(aeGB zWKY1mhkY{-99f=Yt^`tjDb%@ctl|I~=6%VvhQQ#o)o@KO~^3;*vm)zysNICzy;eF^TAje_@X{?66 zYi)$9S8FEx^bG7HAA*Z!sXMq#^1PgN(tJvfx|)kl%GMlNOJ~t960qmyJdj0Fit^AJ z6dCN3D5{e#dx+sbMX1ly34S|X^o>l^Tpswzu2>j!`ZiW_%hAYRiC<&`^cOZB|Byr+ z`J4g&Qn~OJDbPAPr19QL1gz|xsIu5c^9AIx zo$^Sb2lLYx8WBispf{cRF4tJYy_FBchBQ*lnT8#2zf|Jl&j44n8Xn-FubnjPgtc>DTBF* zYYJ^sRL?^HOK%8#$L3Gg_q7qBIyCA-KX0%S zzAE8O!2cpXvj|T*$VCPZ6LlZ_cR9UJrp3uVee8t)`4n>u);TiAWhw`CYq0j#FY+VC zC;w+c0EW!R{lMgD8S*oz3cmoZMbQhy)Iy_uwTGxp7FB11e{wi+ zeCPOl@NlI-vcQme`?3`=uH@S)=`@~SfN7rUBXsen1svEwUhEEP&l;AslwQUs;9ZFC z6wk{DF2*??C4C`(VV^7HDSa{J+}zNA-^wsA>4<=zp&X%df?8ti6NxzYgI;`aysmS6S`h8 zcpPvjFcDM2zq$sV66dCmc4;&!Ba&|h{Szxl->rSx8e9$C~PPuMk?xQDHh zM+7nMB&L!{c&0C_Bq|@Ig@^F$=Jtst=6ddh?~Ch7e~-?hT*evrBx$}A-;;&hH~J}& zstBm7oN%$T7s5ZrJ_gLmvgf^@qr4#Kl`}YS@HhDU{0lnlN2>(9WJWA^E_QR(IiRvN z!Nt=n**Qz~7)uA$&+Q}ieu84Shx0?Y{*wY| zCAiGqN3b_#qn}x*oCh_~AHsbCAMw1%o@tUVm9v=9q_8XYfb8>52j3nX`n+Y>>j~%P zj=_B8b@^7poBgXpI$5$D3xD!<_D%WtQ`PR61TgOpWB#_8C3&EzsSV~AxUP0Sx{UmO zdo02*fA!);F#16Ok480nz9H`k%=fq+RoPwEpN=73?fV#g7TC)Dg?o+gjk-D#w(B>a zHwdAgTmUp8L3rFf;dhFBQuFF4__Zwg&(9+5(Qq#P-$j~f4$UP-`52!}bVMGIE2=Nx zuQ`5E^%Zno-jBTW(p;KbiNSf*wRK%s-NAziKR;?TyW5+HuS-r}?1BXaw6eHqGy9`%q<3{(ALKccqla7kPB*l z3VTpKXD37m&#k+Si5yZv5^0%8|7K3Tf2+F(c>srgdRVOFboSx?F5ECvmiEttCaDh> zdZp-S&A^Lce@j(!7$;U3hLm|xgmI~MsD_Vq8r`Q2*Bvl8DJVh+uN8dHh6r>Co2 z5kLR9s_27ZzDvbG5-fESZ@So=o2yF<;ZL=3k=`h)6&Cuw>St0uQy1{YIgd80v@hvz z zx};Z{>ZZX##C118!`*bxJP7j(_x0jF#x>#1uzwZKCGKN=SG4f&vcyLFx$wOc5TS#Q z?)|Z6ll$!@@W=SUs8(0}B-WF&^`2G3nGnnUY>hrz;Us6KP~FMpAq5l~3ui6M-Vcr` z+7BArZ;GJ7*0Tn*bAdmbb?niJ!kwpa9`qac)|g_6`_VUHuPge>x-8-FPoJHn9G#1v z6wiaXZ<6+RMw(N92#MdqKgTs#4u58r=H{+T|I@MS;9cT1^r&fw%qRP2`)kkgk7mjx z*zHQ#R%0V(E%)``wxBPGa~fkE=rJ&1h3Lgajr)@o3&9JM{6@YpjSI`~M2bIii|YuI zuQkpkzMt;>3!FjLnU4h!8hIUuJCjQ)%%s8fUDSnkhEC)TreUiMU8;Z=V^OYg#J@biD*+*FVy z{RN!Ui$N*+e8hL4k?f=E8BLIpK@N$f6ag&UH26KZ!z@8_?B4#u#fY&@&^$Ick@E9o zJL)++Bt-9(3lb;<>6yo6Qnc@20Q$SRNb>-x4`LSh0|mS8^u3My81MaKVu=5;Nvo-P zkN@+s!F`uY>VnJ07mmh(#46p%A>O)I*i>Rb{u}Po&V}&WaH_Y=LhgwxhQkkozt0#C z@RM0jU4r}z%Sf2_FCo6%9{CsHEx^Af`w`6h+<&yXZmRYkA55hSEN5AGD9_9Ry@L!? z1MeaT0r0~;(#Ur0$F(=GACq1*@GjWrl-w5kF`g?sPmsL*u2k^21*}!9zn5z^np55h z-xciY5s5zPqm2$CghqD%{K|k{)pPDfh)z@^$V3(S;`BXolI)wA?Va(1O2-<-$4 zb3T1*65&()X<>z7G?L(fyVP6h`q7wfsd5-=Y5lJASD*R z{3dw13|b#Fg3J)io$H8wFt}4;&{-u%b~ZqA7`19n6}|2g`22j2%ddw%Sq|QKMpHIw z>tm1lQXdHQ))85>VmBJ+SHMp)W$ZeOP3WPK#cP4lcF`!`st>K?e)Fkjx<3C?JPC2z z7XE|%wFhIQEp6b1=A|mqd$jFUGL>W7=>hOzP@9&U8%1?-+E*!xp&weY!}_MdHj>-8 zk5%L%2;9e52D|eTeMyinKVk2+pZB4S9F<#AF@zSbjc7Fn^9$z}uUtg_g@a4a?JCKSoHvc{)$B1X23HoPa zo5FZ=%boaZ)gArz()Shs-wFFepv$y?n9PE%kvEWot4mbqam{9`vz`!dlE`!Tc>c@K{yzHVIp2tT|m>hcWPQ>I0d^bTAfPVLcS zQnfNT8QAX@^uk^da$D!`z{djL#rryX7&uqoAXGR|FJEU6*Pev^8>O7$CBEc<0A6_i zEaf`S2q&Z|Yb{%k9QEfEtWF9H$%9=(ev~9 z_wRQm%>}1kF=TIu=STdKcS?0#^sq=D+S_+Va~AfBoz=Hi!9srD6Y86UYuFWfrR*yb z0`&epH;{%-;YPq~hJ62X!cY&P;O?GCYIyGB_;Ypt*I!p`2rs_74edmo zP@8bvpLvdZ?@gT;#84%O`0L~LtCRLTow5=A!_zBUeZt$EWMA>zK9yJ&uRSJ(o~0RR z{=93P*^9=kTa$_7Z4Dni4jhVE* zGEV-x;3;w67j(I)%pL4!Mlfe>J`@fF*Ne*TmbU1tM#v5oXS{1ul?7j}+( zyZ0`*m&j>FQ!0&Ma7{{z-us=44Cxy)Pp8~5Nkbbiije1M1@xEJC<4nFmPpe$IOOR; zg*X;x_@U1NvA`kEq5E+U#IISJA4>&qtPcVP`#hB^;g&>Ac_4~17oV3`ew^mEkmCjZ z8$na#Um(A(%|)(+x!%n~$ddD=BU9`e_H#4omV4%g)%%=-rGwcn&DugtlF_Bd4q?+h|72KK7-$LbPW&-TY4zx zxoxU)4Uh+$$iPSVmf6Rb_;tMU%g%a{yw5$;=r0BnW9|_AX(;qcxRFMWh?89Pn3@x) z3a~W4!&k{Tp~cgR4e0~kY9sv~sqn{w&OM{PpAXIF1x;X(a6mtnIO+3Bb%p=)W^J}| z2A!Oh6O)`OdD*(ZrH~WnMV}QK!dV!YPFPwDsd74k_F&IaYqUw`1)FaZ$r63+uhTq~ z=aCsJzQxnvCo}Kk>}lxj(AU>5Poe_k;vPQpq!{32PfSUo44#{O%rysHC7uSMDD4FF zN%5)8$~8DXHR&}toeUQ07ef4Nb2x^3x&xec$Y;p+@C5uYh(*Lau%;9Ib-RSTC}iJd z-#MsmzZu*qaH1maMC<-`&`pE)3Q1QZbuOMTLh`Q`gV5iC+QMYaPm54ru?c!*Ym5mq z8&6dq`l3*o=Z192q#islW=3ltSEW&Ol=q>Bz(L>(-`#NHKCw6dA%7-@^8!QtIyLAq zZ0y4qrxVwET`2Zcf7>hU$9NpsXsb2ey)AVf4#0hw4YK|n)UVbyTJ}0g4Pptk>!>KW zDLjyQbrYz~s_(WH3_~se_S=FU3AB*!*9*dRe>>e#eahI6$@%#`_%NJLtdK%B92Dyr zPVCxww~CbiJqmt$_>g|UKAH2L?VMxep1tl9{9@dLj9#8rSnMr<9s|0}oY{{8loytZ z`xxhn?!7alR}gyTr@^@R7gQok)H{x=3|=2|=ZftJZ;Nkg#sv^#h22sEsi*YWOiXhD$9{}sW3 zX3j`tUE=!Swx_d+)zzd4&cwDW?^UVF%e<7LKE4{o#uwO0T1KW5YLbVXc@#k%YuFZ|7X>Ef^5GAXd3=_TWsS?s*TMmv2~5UY10{-@E3iefH>ol{q8P zoN5EJl6Ejoc-i%TF710+oMXI2J$eexn_W2mZkUBoJ_mT<=e^3nXE!rSfUUOXKv&{8 z)Nb^@@ax`fKo-F^DgX&a1k=ol1UIaoTutMFCzi*E|k#yh|7LEId%emnT9unt+ z2Q8t!eoKMp0o&tRzIn6e6 zGKuS2ZCVu=9DiQ3+e*J5mDAPV83jKKb4t;dCcWT(w$vCk81@INXirrMczSHiooBCp zQs}MR|Jth{hP)2{vUUi;KgK<2$K!?b{_K+qs^)2%I9Op#-1#u>;A}ery8H5I2 z2y=yY^hpptNcF4W%Wh6TXW@DI1_sB}f8&T- z95zLurwQPE*D`7Ji2cB}L4dC=wjmzUR$ke z+UW0X5Z=oiG`s4pIqt{kbLu>!c+oT`y3usOtYzzL#EJ{37?KuRJt2;Sj5O=~4J3VN0kmBa0%h z^y%t|=i^unOf*@Z+P72#tW@GT`D zKl!H7fDN4;BlWpGK3w?7%ip7inQK})mFA(-0*Ep4wZN$hS`Xks`B2>(Bfp=|Jx^Dm z@3Sucov->WI>S%H-v{XXI{>DdzaX=e-*m@d?p%xgR>XbgmC+|IKUadM_MQ>+O3t;U z*lOR{;VRO5@-_6zy~AK=g`Yps8JNtCQM8HqL-1RwKlz67&pm*s@w|wy0MCo$>`K5J zXMeG4sV}Ulqw>H%B99Ee{}%XRc+ayK`!Tiyjjt3=VSIik5`nt>;$K_vS=cw6ZYI3u zK5b)Uzv%SBM4_Bp4!dkHSDduIsW<+HQ)o?op*BY{Ks z&;zm-x6Q+wks zJ}JWA+LKshbVSW#BAyps=k$w@kUa4%JTJmCbW9|XXo z??>Q$^k+-xQXniQ z*Gy2|Bq5wCvk~3XQTNiw+i~6c#c>ImM@PPC2I~t=!zBkbVG(H#-#1)*0yi$0DUV@5 zjP!weRG6y!+5J}xzIDxnUddQ`vzqw6b5DD9Z{Zd;ty`iw-&QWfxb$|e7NUoJ#=Nh6 zu=d2)`q7yI#5Jtz4hGVBV9FY#V~t59#u5MKgZwDxox)=&4gjJV@Rw}jerEVB>o9P8 zViK`EzBPDC+!In2=glIX^9Ev{%pB}n$cu4*4d$-gsZ7AWW*{w7;ZY&{{rtQ-hG=(|$PP{wBLHZqfehYsx_ermaCf3=m-@9o9 zFGJ98d?a;(J%5h_`o*}i zyuJ(ES32HO`xg7)KFk5rW*wA+Q$AYG-vDqk$Ux1RtNCM zcyEe+Waj=@4+l4d`2)x!3pQg>07;MeZT#;A)PLPr=8oUs-7w8J!Cxiwdc9QTb3B3m z!WTvOlck3f`u=GSYMu6?MQlJa(saKxCWt^;?l8{JP5T9qN50BFP4F4H|F8n~pT{P! z!>rg4KJ|PX>W*oq`>*)k@xE<@kM2Q722pFC3&Bqo-M3L)^5h`(rfkA(|3t-Z=(B}z z={7M{`r3MIO`%prnW(leGT2trycc}6jEBsL5Uz5IG1#Z0cJa)LMCBEuFUbOHx9o3Y zCGWGZG0v5->-vv727VsmH#>h!BF2_XeusWBfG0XoRD{nKdCXg9Go_Eb z<(XW=mciT~GL;wU5u*N$!~Vom$g} zbS>Uj`$nsu>pA$zoada6^NIWVHi6f7@TYQFJHg3pe#dI#l{*HHS=Ap{Q62|>;UAOS z#Vl~7aSU3I_ZM#bP0TNs2Lr_NFXk7#_nW;rXFDzhMCT zU2zrsmXfRg;74c|-Fog7{Fm%g#(j+I=Dum*sD92@;K6d9qE`atzIZcWB=TsoA4a~C zu}o#d1-Ur8Qa*eyWClM<`*l`?~HvcnWE?W6+7ioV1C)bec%%UY1E6=7`d;BU!ik! z7zySK{bG|@&H%57b>WxIpzm|e>oo3Z3}kzZ92oohhNE`|7@Do{`>*G5v2Kv&C#$*9 zre?9E;&=V3Ke~n6N-H@-xIdL zKgK+8o0H&_VH~+SC|h$f@lL|yzg9CujIW0|0L$g3y-oyECA0!hUxND>3o>uZ&}#k%?S#H0_E{9v z7Tv$OLzbSu4IPBXa*-lw4}+u8X9qV5fO2^T_nF_l7D3mzz+=sDx{iCpqkQy)!)DaE ze5Uf@!UKqF_`cl(A37UYipSE-?w!BicPWFQl6B9+{C(su2M~Sb-WF67J)JFJs74-{ z|J{31Ch=OfLDf6PrC&jI-)klNmoHV*iScGmp`PkPYvQk5=`dU61YM{i_oJsTl7%aI zJKbJ;!ZyI4%-;+6`T4$k?)D9XeTI|%jHgqq$G-6s4osux=;LGGUqAG6bKe#6$kJ!@ z41MA(#2~*feykJVHL>vrIe(5jT^mod0d-sUjlv0S2 zV0+Fj%>NSaDGX3w&u%aE7fyeteFXW=1Q{^=^uLuTrlpfZ*)k^OTb;L~hy0+70S}Si z*NK6YB7=L5A?M@RFwyn@fInG$uLmZn-{9+1&4r$azKXG?3>@` zt@*mVKth~jY6^6G**7lN{>m=>vWfA=rUdl#L2wJL0RAR&0w3H`i1D5MJ{KBq_@26D zGBGZ^Vt53hrlq{AjfoPG^C;gVk&qVIVcE!o)-V0LX~&MS%B|doeBs-^y+?u1FFlaR zBcl%K^2*7cniD9SMAI3ZbETZ{5ARQnBetbR$7GiFSzj|ig*4j-y^=9Xe-s5PS7)^! zAyx5jW-l`m-7(Nr{Whm+6Jrp^xn$}4*4lxD`_%>W3-{AQ9~VB$m>Y)h;EqR72ao;T zw*5L>_D|Jszz59+jyk3KFW!G|K3z!}x6?#1OD>P?R5Vudgn`KKvkd+Q-(R*Rxut-g zjEkcy&Qsxlg`tlD*WcQi;PneY_>Sa;j~}zr?@QBk-G9e;D%bXFf9a*%HU-bicmVQW zR3X?T#*V?fe;IOh^b&i**LHgNcKmrEFzn%ckvMG%IBLvu13yW)lokAG7VvrV|BKgq z59ScbZ?$uz?R+u+5G?&Io&yr3ueRV)vhtt5gwbR4L@t{GyJw6`*MV19GhPfT^Te1o~yco|5`}2>#Glc7I>q2lR-(TC^ zLiB@gG4J={fcaxP?XevXeg7GPxS02+ieW5Ad^Xi%!*pJI?oI`~U%LT6Kl`WVrD{LN zQ+M_2n#U94?}ui2(UE+Bur1Q)*$Xr=bq-P;x;y%kxX`XiobV8y1V^fm{$_^q$krpj z&-=D>bqG_b???aA-ujc?+GmCR82gI?b~({H?o(M{BXjjxpKRhacHenU1Z>Wz8`i1R z=4sUf+q~gV1|Dj~*}KN+0Si3c;fG-#b&b>rTGFAzq4ee^5iml=~;9HcA;$a@i7Kx_Hs}4@i&D(hV_)%=DJ^9k9i+J!{F)YvyppK zuE8JE_H&seJlc98bQtl6>HqqPzL8MTjQ(Lx>pE9z$ilU|H8CF2B_)eSa6qZ2gYJ>A zPnJChc*lZ=>2TAS0J-ba^9Y(60HQ(3aP{Gqz&FNgx2R0vZB0QQIr$n2IWC#hU;b4n z&HOaBqzHLr;UhkYqOmb}(`@yXe8Kh6S*pXKA9*VRMHhBt5?Vg7A-=1;aq!0+D}-z< z@x=22mHc<)#iajzN~s@im96^k+gl2sb7qSa&1qb)r&;(q4=jq3{m#>uF{Qkzn+E63 zdf$!LeNS6|Y6ZG+FPjA2>t}@%ZnNF310A*h67zm7Hr`|2Kf%4F$k(hJ0^~~laN@OP znH8jYT0CcC`Jy%5jQSyu@ecF8^s3|eki2!v%Le-b&8tnNkqlO{2_)Fq#FQ;M|!f`B6o&#ZnF~)oitbY zNO^sp-(@SG6Fy9qJu7&nDis`^>9&jCsE)$@(<{rN_|T##?pb8YM=)Yq^vvwOxqixnH8uCyoc^Y&BCUr^ZgWUEzuN zd|@AtFa?sGa1?V5;pzE&*UMDh z12zdF#wGNw<0kWB$2YOGjqNXQBP9>@asas2+)EFA|3|(sr`pKAiExi$Y`fPG9~#2N z4qidZ$@!$dm*;islGOL^%GMsXZ=8wo@r@UNQ;UALOFL4iEB_y!MaBr!#d^D@tIzdW z1mSBvXMPy+sIbZJ+m%Rghub_!_mH{!=nV5k(Tc{JRA<$njB(iXnx<37gs&OGZZ z&F_v6C&qVq#b&Dh*ZQs@zlXI}^8IxK4_0`{ex4-jl=A+R$K!~Xt>${~R3WZUU7L?S zcV6_21V5QMsK0e4;x}PWao%joPx`rk>Aev1 zOHE!-y$P1QPHeXX?M3^mv>)?DnC=P2lJ;nUUo8I1K4x^-90Z#xG30?4gprH<2A`+L zFB!rUxnrWU4&B$c&I!=I({*0j1AOA0A^Zm9EBWVL^}dqcyPr)_?mgyx>B|@uAbgV7 z;{vH4bCrI{5x&U}9l~f77w2JqX^8l0|E=hI^=!S$0=^jLDSyPgUk*JiyYI#+pWoe! z_5&~Hf_%&a&V5(~5g#vos=Lt)(DL`bh}C=t?irajlgmFmnjxIJ$A^jx$;%zp{>mke z=;g-R#$uH>3197aAZ2*;Uv5frQf^A3jrbUxdt@sg!q17ybC3!8i{wNdQ`86iOQFG- z)BGPN6R+!o;7?|b(8rpX_t;>Fd0+C(@b&b>LiBo*i*aTw?E*IU+~ExEzgYmk0ADD= zeTmnR&1z&3w`ZF$zwlrGoLG7v{;|LSuA$DpU#vt2>s%pSb5uc|vOo9;pCq?K)dYV` zdSWhD(Lb*!S^7!eO(^BTu8SgG7xh0ELyLho%=XPQxHs_NR?PS4{l1R<*ztkgzdMY1 zpZRqm;Jj3=55)!gzT|Y@2Frf`7M>T_$3hz%O4h!>r|_RZ4?7V~bZQO&obdNEhVShZ zGrbRCKL(iItK+;6lYT+)lz>T{_{v0Zf4O|~4n8n1Y!d$Pq8P+ryn2-wvhS~k`xyHM zK35W-;0nz9vcLb^j!;+D@1$>l?mZLGhrxbSBiGnF0wB`X=r`x@{aJUK$rpy-ClS}r zR_~umfUQm%as|CG(2+cf<0Mx($=8dH&8R=9&#hGT-&qF{<9cV-22Y6#N#KWR$Pez2 zNa^FqKbfI>51a$o=2aVj{ueoaT;cCv-o`K9>cc)CNQ{+uxWq}hP#NHjb58)3wx%JuYl!n|3-hnXYgP*a)BT8{dzC}nIq4@J!8KaiNtYNcl2@ykGNAT z-EzL#EE&%W_tXU<7qS%Z$*p!tB(e&)Te0|bEMFzkpAjfJxL;0qg;8*)`)1%Tvfp@;E6K5Oxwi5OzClin?^i7ylGmZl)0;6r4-4*bUb2D@|wo;erG^ZWY+B%?VGHe zZ{XC)n+Sbh_zjKGi-Fwo%8Chc4*n4zP9G4ztnB1SJGk%zd>t#`9;$mJ$USz{m1O#R z$(XZdnD-?onn~*Cg&xBx4!<2{^gHjjy2Q{@%wcWtd|*3?V9Zrx{=}l{uDFlwYlO`t z_%I(9eeGWdd1UTy?$fu#=sW1U7Lz<&)Q>gBLj2_BU!hN#jaL=yb*}?`AE(9OHa`ba z7ZIed8M_%jOkwIjL0{5KJbs6-P7=OI(h~4185sN;yo(NNMmz)W0_*0TQ()(1)fXFqBO`vKaoPIZ9C4Cd(g>$i;&Gtb*c5$#Rw~jwat`)m?EhRD zA>4<64kjvWj7cLhk=Pzk&Dn#b=6X=9aHoQ}0~6+S=2ydSDO?l>6y;9_6dT77 zSBnEriO;>G7bEEB0{~7AHc>q9d4EE_k^>aM9yD~)?e{lgW9h-Iqb)09-nZCLzJuc$ zaJbpGHa>~Co~^+JPvJtn0WZe0{U5vPdzvdZ2lGB-OS|AaVfoDHmTPcqH1R3884Pyr z8KV961O3U0LEFf`$b53cRrBi$t?3K`7YlY|k>rhMfp@{25BTh`HTKT5sxc_{c}tm7cR&uO*^t)rDk zdDEA6;#%?*az3IDp&yz37B<)5Z;)VjfgzkkqXwPh{7-zk>bs{sbq;~PFMhIZw!}8i zo6(lytLX`SUv!4f9f?|UY~EcWC$PZnMwLCEjGzT;(QJ6 zW89Zr{BVl;6p^oF8|W&(0PP6@;4_}d8DfqJdP5X}3?`E1*cd)3knjz#eEi=QGR zR&wu0z#sGAK;AdaAFy__@+`zZla zT{n2`n}K_s_&%QpYwmNUAI;~-sj->%MT~YOP!~3w#{4q<-&bWL!D&h4J*K^b_H`SP z%3nSnrTeFpn+EH=*MlOI=dx_LoWG4vY5#=Hs|

cg^JtaVO zGVD#`IOniBL~<2fE`Xnmp1y(wQS=Arfa;GRP#V)5s^dP#MlbkKc;8wwK8v_kW!Bwd z!=Eo`sWyaZw!u%orE70OBlzf0E7!I9C>jL2`0d&D1pGfXG1hctJ3u5)l9bnkd{s?e z7=owNocja@!Ve<_D1}A<4)o;(@#=dSfj&NPgFmmCpuGGd@Gj1=fyS!90-A79efzZQ`tecX(2#7@Gdwm2tGgizTbm4&itI0g}KI$ z8*kq8!Tf?2gMvoTUxdSW!JD{0vBjV=qZSXWJ>1lXlV?R&fEOLqW0K~jMmlIeCiwgu zE9=-Rknpd=4KLqV$oFWQFnzBg=i&uH=)bk8IyX6`Y3~z$Q0~Jzb|+5y>Qgg1|E*vWRXH+>nKL;O0(%!1#Ndy4L)X>UkG3UNLA)%CXw zjC+GKpwIGJcJod6`C$YLvCCBMDsmdaZ7|?Z#`*LYcpRPpa#>?eXIXs_`YYw!MZQwF z#RCTu+b*MDK;P$mm%pX@J;6_AtmP8iztFDQZ}#9T#;VfGPRGH$mwi{CU|Px-a`e9l zmIb^Y;ePdkZyUCvGi$IH?A>j*8TyO#O9nVnGRq&`Bh>f*Yc#3rn0?% zi7$2Tm9lly6!7{u?s^0LGv9#pv^hZTPff0%@0IOb|Af#Ky>=17yV#KY+!7mtd#>W5lj-!n4mQ@%ZRK}vR&i>1 zydMoifcqclE9_$Gg*~xySkQyT;DS$s<=*HFz0!|?ZolvwSbD{rxiLg6qxxf> zkvx-SMM4{jZTIKV^z;A%-)SbYW{&8HT!Z;^`AConybRRFZ;mJ|L0G}y5NdG`d=91U>c5jUpRny2J>L8#EPa5@Fz0LdYn$9Y zeL5kFQlL|ub-888YoTX7+28#z-b`}M&G#X;(;uighS=}heWqu9<|klO`D#lgNe#o**yj zf5`YNmf#jC`0+XB_BU;IF8Cbxy*DsAU@sv1y9D$CyQA>58SZBcB>&w~a!W@t{#*p}27O8VKHZ#6Y^O;7 z&XJIYsefuj1TErVc1bib_I;2=k(^swCr40C4t{O-72e<+%=^sOX;grHcJZL8^Y;g6 zE*X1s*8h9G3n2&2z5SC#p1in+AMLMg0M&IIp}Ah0Z1s_E3zKtV67FLo*pD)x*bwdx z_Q^j$motHPaeF3+Ic4a};l^O-u5(sc_R_ll9!9byeGXzckPvX3%@1%0k&g) zVQypmk^+N!kXrv4PmB}p3jbIO$g&Z);z_tfOVG=WdReDjC-otm57N22WrFG%&y&?( z`8tfA!X{Ry0jb~jSQvqVSN7+63u1NhE9jMsDID9^Bzb~Lr!E>6$RYo?1E0$SuboZ* z4j@*G4@P+t_bAPL^vYOufJ}vMv#1CcU8I5_M zy%(zdjG^%DbJ2QKDpde5{?A`ibuT@|lV;(Iw*>kNU*{5E50U)SCFqq~wqb)%7)Ten z#vS^L0{~-7w#Vu@c`uw~{aE*Z&zBP8HW%IRx1~_j@$GDCR(?vbkM=Nc45S}9_W9g} zvV)O~=nj1!@5{(eIeMS@*O@j}x-;cB+{Yvzk3Jpg?Osx9a1YfVhceXfxHN)L-+uA_ zeUtd!Vgs<};v%3*ULu8-jTEqhudA|ED5D__*L*e98RyCcbh$T=N8%1AgCL zIG0no<}xIJ4xZZ?6R-$+B?m)7LTEi~oddUKsqboFl;$t~8BWizSRZu^z5wPbq`MY#ijAcvlYcj5Tuj*w@k1|o*cQ8ry zi%0e(aVq#NITf_RF@_?!#%6Yb!MWjKd*TW0U1Mjq^P_9%63-~PsTMfOEYxR=zEJz+-=#?FDP}zTL(td%Q zT!ZtJy-u14P^V2r_X3nRp8-w_>_C3&Um5)R9QMLh=h2Y23B?&(Z`o0T5f>U>bkHY-E zO5TLF%x`x8kw%O7ep4K%KNp@C?!W4OsJzc&L%8(c#5~PZeQIur5%d^0sPAocjlYpm-%uGOV_`o+0(vf4kAhw)x$otP zn%nMTDZaTOX>oF2OrLC4KD|%A!8nCxo6O3m{1Bvm@M6FJH^0b!=dQbQO`%uvzNqL+ z?8nk}mhQBN-;#aX77^4AwdI{EMJt~rzQ_pR2e)YiJ%oMzU`Jp1Jye6=lKZSXj4{(3 z-t$ESP&IHRIxI#13l|W?g$TEOG4x8|hmDMqp58@IhU=eu3H~F*03xv;Th}*dQ)O55 zjtii(*kC*A$PqSjkG!9qPR^{e;&YI^be8pV-o!k%k;`nAztI}} zWd1=Sk>3Y?xyzq{$~kH1N)q?=vy=1W?m+NicwlvPDd*3p5!W=e`zD17xwjrYvRAnX zsw{&R;c-pc4L?8roJJo^+H0JiL>7GEgI>wDnN>f=iXS#dth{*K{0A2diPT*kY9SVE$oW z&a2FsClfSa^3}=mtG9Wad9Jrr!49qUn#u- zUX$oP_ufx*AmNZr@TYtH-@O8*kM8yNc}6?~_gjb2PA_YM(cH8yO_{K9R2So@%b8&Kr4gG#mv`9gdr+9xs@Jz#jvawF-QU zGZE9?(I5RK`~_Y)O7$4L|0ak*)PoogwiP*S)<@2)!W^;ehmAKg9hHL`7(rHCX!ut& z33su_HDmwVl6~W+KzC*1@DX2{0pnocqHN*XO?->qPuM!g?g^kP!BbQJx?`f9yjFh| zqWrB_S=55>5l^Bt@9j52d~2i7|8kmpukMFQpVv3w^~wEs^bKPO^ZRGm5aW}VpG((0 z81^2CXG<4H_J!XX`;RBskExz&t@^@Sd|sSy9_T=~Pg`%Cj(MN+P(#sQSyuobh3M?r zGogJx@|6s#_Vc4pIMC01mQ(V)E`w7kIf7=+#P*YFZ-VGDV)(8;39>I=Vx2;8^)>B) z{IU2czeH?@_qE7VOD=i8h4xsDjVANT(#yLBm?%jW)EAAn!2CSl1pgq9gC_%27aos& z@>vF5lo>LI{p?B`xR>KwD_UI)VG;Lv@$olukbd1T^jUCi+S6wNR9k>RdBz5oMV^Hc z>aqt!4EEF>$1reV(Ery5d>E|t?gsiaUUwO1qO)iibd*JZmulaXPdx%AzjihF7N^IcnHqYf!GdptG1@oh zje8~YAMe`9{q*4vIr>HrIjJeQH2uv3~Ga6;F(J{0fC z5iaYm`dkT6zjm0na10hbcx8wW7ChJ#DX_C5)O{CM`x||)+;@pS3)w@12P=C$%=@C} zuFN;8cg1ED&x`1f!#rsV01+MWybNca!?IM(r{;j8ig~ap^ljn%-ycF;r|ARVqvZe3 z1qvtm+x;Gz*WrCF1A4NM8-(08@jxaW7Gr&hF$*!0e+Jr09--!&EW#~d!R6rHWs?G#Ng{m{GS=bG5Xp+ zL=eXrrxut9ZV-F>K1uXf&uU#GUwA4vJSbNDL~~7Moi9%#?})d~lpy$+fsv_q$BP(O zb7^v-atJF~64&&u2?S4RaGPb{q=DllFSsj)yho5bi^Hk;9C}+TUo`n_^wa&SqlM1P zN8R6>dMQP6c@8R@ubK3Jx>&<#kj1Cii z`FEdYX}?8}VuP{NJ)!UOczVGPyz!eT3Mlo`xgR_w$=jIhX&J90L&3Ma^e{7TOA;*u z-^n}Ap4hf-jpyZaEba?C#!vxsN>>*enc$*Dt&XR8%yVntC%(P^&f&lF-f?Oer7}nY z`aaiS79R_u-+{0F6?x>%FPB@7zn@HB@uL4x7(EAG`Jo-r5!h$~kVlri_g~o8GZzf| zG43s^gY!i=d>wNQKJSw;?+dQ~5p*j2`|eNh);^LxWd`@OJ_ZlACl>^zSxL`Zt5+H7 z3;f!FV&K#B?&(j`e^e(>dK}sx&o?BuQ5Gs3ooA7r^ao_FIPjF}F(9xwRlle3!*IV; z+KxEACs*-SzaDr>(j)dypm6iAUIA|$&+{?tYkm3skr7VJ=^1}GQ@KXq!wAQ=pRLSc zX%*0C0lUt1XCJ+%P6||B-81xt^IX==PIK|#C$rD7*L`R4Lr=hS$~7^^TBfLfXkDp+ z^+x+uTQl_ih3AEJ!c6#6d0y;0Ac@dIz9k7fShkn^8WtqxbDL3e75!*ha}1O zU?}*>9Irk(Gm*H4`evJ6b zWVvs?tf2n)m+tDXZ*5EYs59v^Fq`n${jkx=ks=%GD%pVEG+O=h4T@ABXpeu+ zJb*sFqI-86nN4h??2hME@^9k;i0ej=FEP{&(S4okD*lgF<@6D8Dzo(C~q6HWYlAeUKM68GiJVxd_O=NWb@{ zFv44*@MTqJVw%ob$3EVQ{1MRH-?t1y}^g;f=mBd{o% zhC{B{gLz*#Jzrcjc&%Rbs)=BCYSpwtAUSei=}&Lvk64r$qhY)6jQK_GpVrkhU)gyQ zL8iJk8h%UZ@dO`6d_hiu#5IxK^3gBGV5P>GyO_fVu7&iPVBUYt9EnzG(i1dgqo?Zd znD^lVXxF5RxAu1)2A?1N*YoHThZ==fvWN7?w73tR5@UeDALD$w!;?(uFAB>jH3o3s zP>wAzM%K3t=6wcer2EiZ z03YNlB?s2{mLccCvkb`_yC04qsaO7JLIoUt;7Qnzv5egcyhh$n%z~ev?Ooe(F5uVq zEBwiPE7|=+lI~66%Vj%N%d?5Z^U3iExR0SP1RQmKb}yJR5x!JOC#;(n7x1W3K_Tnq>4bc-C*IX1tDACwcUvhB@taA?37X}geQeqO#I<{oeF6!kDcGFl8ROX?-Zo76W79pA^E@M! zUUC2Y$5diG`w{HNcn)^Myz9mS3;g`TZ$gyhw=QtKili2S1F`T&e z_d}~J^;xVbHFomC!V3MBuzTlun5Bp1)eaxcjTM3O1m4iiF0OQqx!34>MHtNQN6hc z2z*QF#hBwqlbM5${>nHG%EVafeR3sytlUGf9vlq5-z)-$7x_A;HZj!T4j*_0hS$6L z@x!LatKRsjAFW{yG5lm~uPI5z+|K#EeNLK#*bm+z3kUE4?qlh^h)Xt;@On1~k;J{m`RQ}=Uj?ej#qHDFiK$N( zTk2A6@M}-wJuf|2m|uk7gLz*#Qk$am=X(H7H)84u)zI_IK)koZX#R{^sg6$YX~M5p zyP;WqT3-eb+8Il4B%73{+B}4!?C`&sfq9<|o7Kwo{Xd6GA58>$YZ!-AeQ22K;*T@s z?=#lTXTo$z5*0zYK66ik;I z%es6>cb}f2`L*N-Vhnm`%zJR@d!5Ad@}4>Vw>#2CN@G+n4h5wN`SDr~U zkd2_1ya;LZYp#)r+W%EniJCORNrUHwc}hFRp)U#e{K|XsjXry-xBG~BMs$VaLHhn1 z??-G4v~O>r_k^wP)Q%0}_v#X;LVboe&!)$){fzG7sJ^ti5p;%)PA8!63)t(Lk$Db* zLYoL$$UW;;zS2{;!VUQq;3d{{0w;ud!p;H2<93xK6aB~+r1l}yl7otPUQ$@^u#KX( z6JP|`F`N(!-F0g*atFNU934iyUa$IZroKmliVd`OU!T^=M(&eSz0=j^k9mJ?R#eAv zv;3$R|Al_C*Z1ry`1zTWy9b;q)RU+GV^4_9Y_o+QM*L=-;ZFvp%l_(B!FZ1ejEY0RZRljig zef_vHlf>q=ro>qOngPqUG@HMGFSB%?`lXNZcB3$tG2aLC{t5<9!Vkkf#VMV0gsXC| zI`YUI*WZvPzQ0~=a35n%T*ndvUt44Cx(s^sG(ULitO(+|m~`yNq@MuKf#i%a?|+5f zhQ{#2Fb?wO6f-4ajs5}rWRbZs?@QhT{m5)zbOwJ6Ef(KDv9u)AGMs1<87IB#9^WI! z49;nV!B-8gm;Vj=CG%|?KMo=}7fz$M;ZZ9@%`Hg4n6KTHBZvG8^P-adv#FhcV$jFO zpeMHoI?3FL&e0@&9!Z79R_;^rz&@T0TBCf0JLw#NUS$N%qVVSnFEKbkdwu4cXc_xM zqC$jo_dWK>lGDPxFFZK#lR3Ze9qykzwx|9SMvO0r{T%l(=vyOCUN?BGTNG=fT(Qh_ z<<(fD&w@eW=trK+2AWm&bQreUPjju6JA6Hfq^GZ)gZlFeB9#}`Cx#l!MYhn8xp^CS zO1yyVH+{PuDSy@V!cS@t-);4&JZd3zEFf#6AhK2d!N(h1d;!3_MQB+kZvE zyKM%aCflhTFM+qq2l~`#5*aAKq<;Ac=u2u;^TwkKCgl#51!!N*Z{8&Ryq;xx?zy>X zPhh2LvwR!^n;NKH6U0!%H%0 zoD75|hV=Di+Nuv3{xRV(XZlb$a|KofYTs!CSN*w{*eP$qKZm|%VPqUQ80@=+KUsA0 zp((UN3}m+q#`>>A-iI*+1;@aLd4&bge2$^5`{v?QqH5!pY-(Jl00Ze43uy*@18$XNT!m$v)N z%BigptX%WfqljbafpHd^BdFt{TnO~Nir;-&w))(rI;uZ(9CCH=zjZ+0tMoy(yl#BM zK{QhYJ!9YPB45d;x0nRZ0PI#3Pnfl5*&HByDwmxm`UmmOd%uRzbG%T0IspzJ`si-1 zjv`;gC2X3EpalTiUibv}Iqt{8eTI9hd-Thqc>)40mLASJnKqIm%UOZ^3;PQ&@5}qL z;wa^%VNMaw;HNcY|8V^yK3CW}b|gD!j` zROsWAJk8lKlK$RK&dQsz3Z|N@PmW2Db9iAx@P3)U+I%eCJ`bQC=6#k;yVf2{Da^yK zQBnDpYolozieyTIO|%^MjN|Z+37;S5i(n#gzEsa&8RNFVTh5_*Hf09C|9^*n>`w+3 zAivLh39DNf#4^~h@eZ_(Ir!uKX-ZodmEHvqw`5%XJKqqFoK+ZQ!9I82&yzU*=@^hI zdyI-xQ}sQV?n#`&`DR6&-ji<+As_Cqn3$%0P-ozG=6wm~7v`g$SQJaOc`^QPxbz{s zXplu;aN&1ei6L{_eOo;r$xLwHFSxSTM|)*128!>ky@RXjS%2G6PcB%QnnOpHqS%Q2 z$=KW1Z84F!w$;`Qzqb^Umm2)oo@zHq_s$>TAA^qYX`@W(F>42XU*5CO_ql$4`tDfz zk}u%J&`XhrnNcT4_Z{dnk*N+jT@6a4%#hxUc9 zlEGf^TXKEF(c~f{odJ;GEXg_3*q2&21u5G@c^75aD^B5F&EA+_@N+HBF;NB=1N8}^ zK#T)*r-Pr&KE*cR^K-Ei<`>3nl!99;?~_4cI)@g6FD>AS8;0oT*5HqEKU~{%eeREX z(J(F;8R9)FsI_gqhPg!$byqGgX9;AB$$p<%AUwV#`?XP2D8HhfNe!S4*;BW&S+Y=31e{_Or& z6%M(o9})A5T(3`O5U5Wx`CZ=HQLw9QC{qEXWdug z9>}#h*KN@E$~n8A!I=fM!E-_eNxdBA7uF@Jz*oiC($}rP5qChs3fy$I$M^U)R(->v zX5!lO3%j!kTY67Nk0ia19`O=?U+>|GRG&G#n=28=^wPeF)BdcnX8LS4CrxyIF#?fK z=0eVeLD~<~!%usj3o8)P;kzBO+$Cq9d7>_H?Bf);6OzmN%8_JT`z%6z5{JQ~AY z*OUX=Jc7EikH*?p@&+|9zwkBu5OQ|HDQgEl494IHxjzjtP_AzYIWwM5r_)D3+}JYb*oq9$yd$Nr)- zbBVL<>8mYJBsW+S-d>yCv3HanbMVJd^Wt}NcBJS%3&0<6obd<^dqE+-RXDMInQNI#i1Q85=_{0{vE zYhs_X7RoC^5A+?_uAdnu^=sD3m3ve6S`%@-c7u}vs@sw`4V6XyEA7{L2;UXIhx%EO z$ZVzHJ#rq`+kvieQHmRQ7oWgMhVzBj{;XFr2ebOeQ2K`b6r(-0$74*Y=H8Km5g!ir zW8BwxZe|?Ke2yd{_G6;AMy07=>M!`wa#1+F(}QXr4mE< zkq_$1T;J|;mgZaQ`VfzQ*W3g3K61oG-_KR-DE`ypAFejZA@-fDyW&iYlL*1QFTQx& z6xt!h67Z#gpSdR^gLuq+m<0c#qxY1qcwTt@wxNBwZhzI2U?*>xJvdhKoU`z~XO2pf zJ=w&v+On^cr0*{Hw3pmlzX(huvF|m4UWwX_P^UQIu}q9Bzkg-s8=T|n9BWn{+@C?} zvmfH8dFqPrTXONuZ|<5OEv-vXD>nVpBU^oN?vBK3xkUJog_CtBiqOi2mE3hhIP)DN zs3V`tt$oGEIJ0jy4Z=0j{55*ndJo-^+BHCO#Tw|2?)Tz+mzMAX>*oXDQi2(js zF1W+(&tU%N{~_jmnKK_aQ8PBW?bDVUnFn$B#buUdbqzWczt|9%ST>| zjqLxTAGDxr|BA!V|H8V^Q1rb@!A-959bcpOoAi5i1Adl=OI;mOy~!@C@tjUW$_&XX zw06^Z_l=eK_#B}}z&+DzWQK#z0hssGLb0f|4^;hrOTO@cUVRp(J=^H7JQBPv;L>EA zFX#<7V@KH60{$55{coqFsekBhAce zVtpo|WeFe6Ekp8L(78c54Lbg~yw|6vkMgOdiVp#zi=LX(KYnkv95r5f1mRS(?j^!d5^ShG5Gxa-(OWCw1w_!0R9+r z?wT($6W31pWaS&O2c8dqGRC9HH-d)$4b8<%xyRT9VcR+ z%!b|xjND*v}UkL518GJ;9f*0~`2BH1tO3(wng73I%=P z#mE5NN6#~<9x*ONds0?sk=!?s-=E2WYw*W-?woQPdv6A+VczGSySHtT7ZY%Fu^~Fj z02^Yz(wGUjkMR#$1G+6=;QvP7vv4l#)i3mmHF1l|%$G@Yo%bre9SG~x@N-upiR&*4 zy}*OzIio|7VL;dV4t=k3ANbaf{>A51^>(~+N-*!Eb*y-QJ!eYi-i;SQG=&fRz6o@J z_a#=~GjL!QeVe?m4ew1PIwSZO;)|(Rk$7xgH$9p@1=k`Z+(ZMU0Pdo(61IsGM@__Q zz)BAS^!>5gTYK+Elo@jVHFKl&{6+YPJ_`n!1efmU!A=-#UXb7VQm_9=l?^M zF$5WZebj#*%GWQ8rKz9`-`p0i+>j@kw2TeGwxx#bwKL#r2Pd+somuy{-}|U<CWO0kYfA!k{HmP&uT#oG)LE>KZ~@Lx7m z$Rwnytb0PY7e6rceJ^~$lYfa7zNqJJGx0T{^9T5aIR^+ozsv>jvGW>lHS~R{_x{>a zxZZ!EkFYA@Q?D`KOAnHJzQH=staatRU2lSv?+M;8yRklIV}HZ4Q<*zqnrR(_dH)Iu zN^fjLUW|3~b&ksYOo^b;ytvvGO^ll|zq)2f{&rOaHDD0kQD3qE5ao-R*~GuE*lT9# zZHhGo2p{A<=KWQP-raky3Xz@=|0D2&GZ1Kj2=6&A3 z&4i!-6hNP^aNqtN_L@uJCq*!j-h-6e{y2=P@WTI{1%aM9=mgG}3JCaJ^fgf(UYxJa zHBRI&9X<=WAikzX?g&tR?@(`YX#hd%+cHDAz36{w%78NDE1A#kbTfl+%jog}erxGV z^71EHbAp$_wfCFQ|5Al7*mc9yPwfvsKX8rjf>Y^Z>$)uhzDw0!!ttKk(>WtfbI5-W zp^*^K*N;up`R{n3_UW$k(B~99?-bOpe6)&Czp_IX@oVIhpW%n$p2u6Z+Mo6n_PM|u z^!wXK_22w*pL0uBy_cM`llxz@-*d{(ZScp?b2GF3MD=U^l0rv)n4Esg5N=e5@_nFn zq;NheK;P#WP6f>Ic3f26+lv^NGavds?|BbH@8+7h0m$#m`8NYP4fhMS8B7w>*^{Vz z5f|{sShvDHdBm06PbMux&dh@ykNE~_J*pp!G*cT6C~XWP(CovuO!3q6zpe#wt$cL4 zyUx$ZS8`9x7Uadcvk*1HQTd0C5#mb=DTq@4@a=1c*x~!2cMN~rz_z}`_z1TF+0yr! z*c|>fHpXFo;a;AH@PVx7{7Hil;&Ceu^NVn;aUUy24ey~9=zkdupD5;iIS>2eeuG?< z{hdsD$h!2%8^(ved?BwT|NOz{>B@6I=B0a|;eMKH3bI$dWsJ4t4U5n_E$;*PEn&OB zo4B0M-z}!x2V7vx2hOqSW?b$e78F&3%zDJT6r4DNpfsUEp%VhIQoBxI`6Qm&TZ?1 zs6nxyg4nx81vPdB%$gbnV+8~SMcIgm9y&-71UGww#u{UdJ@(#fVoR*CcTvF>(AZ)C8;_K|*89#m#`p~i>rsC7z20W!?%aSs8NTW3ICobbzTR!dHWOJ9 z^Z(i1pWdMcb`APoxkv9X_{q|f+tHrNaZd16CUxKo4*Wf+JO0V&hP)WYsU@G$_bOoY z>qZU8pBwPJ$UStV4+-yRH2lebfr|*vWnX6`!=ikM<1Lq`BoJs!rxzU_ApDPZA($gj zlQ{HfsLto>yyZP`bUEgI=0W$5Bz_!*{hX!e;`stY`Vszi694eoljs{|V??C@_5XJX zrE#ye`a~`VH;D(VvM$6e#An;)h;MWKD|g{oG+vahx5*qh8qe@IK_6 zFJYb3$Yo>_@$+DQX{YB>H_UIDAKbS>|6m)RPlp=@`=$K`S@nKCJFJ)|6RbX;Qns4+ zALpf9vWrf19`C7muWaRO4C$acUDGJd;lGY4=KJIs%!zE!D~gEokR1Z4A&TKj^v|Xd z5KR5sSV{6-O-wSce;jQl;nHH>mpLL0JWY;8T z=(#Hi-eOKPRiAO-c1Gto&3C@NVQ@aG-IPS-$Tkg@ewO9Gfv*HC$h>6uu-Mpfq_gsC z;7{&>nEkaXV~B0@z3!&aS>B)CiXg@yoT!9(ANK2kzeW&`SDmmQfma%jk^W|zk z^zTXW%4Op;W2sh|^?m`~cqcB<>*HU%Cnz$+kN3AHaU5lPlD%-UW>g-p-{&wl(f!Wg zc>yLVWjyj`$_u!zd`lPjEg2Xv4!jEpFTv0&*(USLxirmfCHqJ&$sRl*DR#IyKzkW5 z?@Nyd@-L!a!q4wkC39WfL-EQL@{go#=vCaa621%IuzEBvG&ZpD!p2#+{K1zksyo%f zeT)}9-k~IUoP!?HkNKd2i|8U1DMx))l|AJBy9oWr9EW&pU*b> zd06VDT;0!3vX`F}o=uFw2@UN)J-L{>O_cC*w!;U-^&?|~@(syB42hyHJkOZ|X*=R@ zw!^d4$BI2g0bXaD;fJY?+Me%I%-X*LeV_N3naF{O{?i-xG1z~e91W8D_CJS;c|4K0 zPoQXQb!7`leZ#ZchU7)v93`K%*_5FsDJc*3I%g83%m=C6%Xn_RD-{<2jI$Zzw8U}`Pu)5{Jy+TuqV_U)+NIZ zc9z?}nu)RY`|?dR`Rs{Z%O-%!D!`Yw#&?L}PAc1ltXzomz+Uc4ZvL3}8DooiU-fI~ zm0Yk0y>hyMb*>wyHo*Amfpd}fkBfaY=R7}+{1L=k?vk!Pl%ITvWhocv`|NLNR>oiM zVXLR4(<08FybUF^ntE+3^wvIrzv6W-G%Zr}(~?)SNUlv^3Jle~owdLCy@hz4eP~Dk z@wYR4Y$(02_-M}-a4eev7ua*Gi}V8ROUlvxL7E3K9=lCmy7aL7{SSH;^u`K33JvKW zxdVPO2etmfJivO;3o}VwZUX$4kij}5zmJr`^NrKNLkG^xb1C**%#lSNnXx;2!Mk8C z#9}8us)=IQyIYfV?s#IS{t@ic^L$#L3)yF-k9=>#{Kxo3PrSEf?VKN`x$Q^6B)unt zz?0)*ol9OMJzBoblH2=wIr28Jx%K=Bym8K_4UMAMR&aRC#r(o~sPKG)`v-oU7e&vw zuxCS{{{C{n<-ql9Aaqs}10X_7+IP7SJz5+jj189_0FN~mYQll}d6*|y@B0u$$^Gk8 zef$AF9_}ew7(wOmTaQzb?7kg0C^UM+~G*Y`_Z_YRArrJ!e_N!;kfI@ggzLVCq}GTtNeP$x7Ced3b) zhEIAnxNj#Kxf93RE7^`vev8i-!drjWLCi0LMMeJD!u{C&iGY=uU7-x-88!mjm7vFL z*nm&^uJLin9s&IcViicxub8L;mF$gFmVukIeJ<7jNl}bu5LP zKMO{;z|qD7vBVkuJyN)a&ov*cYn*leSr5I!ToAr6fH;o(VPmLrFUoleXa34g^dqO9 zq5Dg7v`_Vv2dz0he0XAoaWofW;Q4u}bg_Vc0EGtoRu6+$Ao=~O(UKErQ87#V+Ljjg zRJ8FG9{-yi@ybJnPR?=V1?6%y4>l{Ax`+@A{ut{m_u#i=W1y*|>`Oi%|5J+#mTy~& zxve)0)~D;j4S-SJ;}xY~N~E?`{9|7fK+$UUhOOtc2Ly5WbwJ>{S4 zrf@0*xU|G^3++h9#kMd;`p5!W57z#~Hrd4Xo}+)FzY@A#OeA~&ykEV1*AO1l97jU! zLdvgmGU%5YAaNkqAo-RL!P+Bd1%FIFH|6x63EsH;drjQ*-g-8gZcj%-6Mla6apf7J z+bl{{?l1Q20T?I_W1lR~!_)|p$LdXI&86ae5x-lDF%-_A#3w1#tN}K%@Q=Z6p7F2- z(W|Z?YoZ?wTd(s6PT)Sq20B;x$AIzvaS(nEsIwio=aRwuvQ-nz#DB~(&!qRumj2og zbfU%7%m(FMAZ3v=sI1n#j4}OGwO7L6mX}GAW zXDJKS;-Z6p?if7p71jiQj1T748MGJe&zCX3NDo$6u;vpZUA5OS+d=zSbCZ>GW9LSU zIXkoy{VzCvY`Vu$Zz(3bX)s@R2>i)%j!-atMo(9zKN4vl2V*lLh>um@tDUJl571Y_ z$P3q>h3FfX+~oZfou81e6wYQX(w?l}BXoYl{L&I~a1)PMVvO3EA>f-xzT=VsRjcmr z^T3&6e#;J%a%{SSHy#{-70g@ty`fx(q_=aVJ#imdxzgiF{N_P!bb=Qc!6AgUxY6xP zBFBhcft#JK8{F4k7rcuPsH^=u4nAZqsEJFHd)S55X}T}Ob0q$a9}@KI{&Rrnu!At~ zHyZ!Vi~I}leK9U`m$&xxLa&sZKyoB;UHRdIS>z@Kg$3FxTH0BBx7#tl2=5gBWZ`Z0 z3?;~D4esvsP`*3neR+=2$H#RaA)P&_0R$QA>2zY7#y>u(gxV&cqzVj9Jq<#>QaI7) z!M{VT*F^X&8Jj;EeoOA*_I&Q6d>!<^yygDUOe>+)I(j(X_xw6JKP*`}U(o5;P5sCC zB+be0wUhp%CY4l(#HO07ca6uRyU`|Cuu=Y9DwN>9(idS)O zhLhgEkdx$VienV!m;A6t-(jv7z0wiBj%92#y=DCH1_3YdEq~$*r(Ym3_T3+UE*%9= zEqYjmgXn;HU;G&n@LL`kH`ca7IB`#dV+Q=m40J|*|1@fnTW$`L+-U)xbHp_Ys*l3F zADaE*p`(Rl44ZYw;J(kg$nPU|-K5*M8FYmGch`MMu7}CsLvdj|{QNwA>_GmdAuw{c z@1cK<2eJBYgj?8}&4;3;mttwpIQmTrM)C~iJUPrnp9O<7z2HNIuu$SyBJn+TKl1yn zpB(e)SBUuqvCodVVVa);uWu(86F*DQKB!mdcVhkz_+!jBYXIMw@F}<05+G+&7xj;& z{-wQ7y23vu94hzA2Jm0y`>!?YUhAw$dl!cKYp?jyBF$mF@D#3px4rhn7~5&^TS}fX z9(pBnbQ3~|ZAQN~38fG0!)|cHkb8BD2r9$D;n_ZVZvcM2HS!Zx4Ge zuGPG9H(PqXCgXhZ^l=I5%ioFTjQ5gbt{d#POHRc9 z4qp@wg~=ZD%u@8DqUO0J<`=#n9p2zYENk3pk3Bl;df>W>KWAbG`X3iOjf~QL5;!Nq z%^Gpbklv6VqEy#j6eu~G5h>t4!FG5M=c4?6dV*U5fvA=R?*;5(S9^!kQ9L%u^DLU9 zvcyo*EI4`!gQVZ+0Pc}o_tk$k^p~Ya#=Up95WCfeU%O-QJ@>V*qxRl`*Jt7%Kxsea zTpkV<{z~Twt|YeXJO}Ap{q3t1^|uXn6FyVFC()XZ9vVlv65zgRROc7Z)Q|}muH1qbVd@k18l!&R3aRp34l6f`?12CO!;3Tz{XT*Y!#3aa zwJkA*+I4y?&43Tk2YZj7!0)>G`Le-}XP@0><)q#+sjv4Zf6ZC^@2w$uldrlEuLH_H zvZug-3uc#y8L#ueBJ9UlkeeBzenjk{gg0w{-I&7oWxojVd3{yP8EdjUjh=&7Y}+wi z`Yut8DewD}Wi7;U zx|=?Q2G<>R+FG1{DQ_jgS0j(izJOhGLbY$A2%O~RaAst=5aV)x1`k#^e>is}m*Q01 zUpWo^FF1G2SMD2(8FT|*U3wRsqNQKMR62_e?nl%3kICw%X;i!?UV(jbVa3vQpjUEV z;_k9J#CGECQ^1E|!-|`q^0m&P&w}${%}NSq)v(ZMopyFqj*?6!Sj& zRE`v)k8l5=O?{y6$^B-Ct?(j;UG$QD+sZNU^T&639eDtI;nHY++S5VzKgb{WFmK{$ ztnO#Ny={Qvbam4SaG-hLnHMPjsBLqy=~$=nRVLp6=MYr=O;IM<`-QGF(^l@~oDi<} z#~qkU7!dbo4E@7_>`H^FBJTB7!5?EB*Rw+r!arFUVIihN&uV|yz{kZB6YEHGVDKM5 zD}x4dJ!fM-ou^&|Yd=vI^h)M2J#)~WuO=xv53F$`wjE8V979|aI5jp-^RG|yjV!#* z-XZT|a8DLEGt)U|gFYC>Tr4~ZA0>F9d%krij&IejG=e1W8#YGg>?WxMx3g+8T+7LG6xBM7~uPToWSej zTy~<@TjAE6c#Q)$!&shJ@Ow&El;WRppI)VHwAK_NJEKMLxQ6nq97(iPZ7h3B?qaT^?H4j3S zM|sGb=I{ZzJ)UZ#&aDP~QOpIp)7?Uh8{66OzQO%OIsZDVp4ZAsj2rEAFo3uod?9ok z;m$jF5_5@R%9ivxei)#!{DC4YRj#<&;2({`>6eflGv&y*=m2) z1uxC*&vMrL>ilfgXI6Ef0lYB8IWm&}NsT3>b5Wpm%aHuf>?q~HPYk5XsDo}5kNgYp z)>GgUt#%$4o9|7;w(`07oDl250paxA9>6{9lVuMLKMdbr?T!S|0`}8_rzAdt)CfY_ zJMm}iVVG`LGvtmTT#fpU%4u@}54QX0*cV6C7t|hmV9uAEZRtvGvH*8bE(!D(;bPu& z)t>GR(bT8Lili&>kI8=TPM*Q{{D{m%V*B=n4#AX&U))FdEtzXmY9w;TVnFSzJ@ALa z=sZ52sg7gl1^P^n6r>Q>xK1emPcj4tUU|}7<)#Q?8h5{+Y{`d%h&5t0-|YkL2mivm zTsGiZN!c{sEWIb?klU6yvYx-5pV*Jd&udI^?!7H|N}NA_mPr@+^VG|Yb}%rle+V^f zF=tQ1*CxWTjs)8^gX6N9wIfJsH^Y4N=NOho{BfuQ?!`KuH;4Pstz9VCO-rD2sQGET zeE`h`R;|+z?8i7rb2e1@1zWu7Cj3s%;5V847(~^dBk2(gkI!%)V|n7fQD{g{X&+|- z1?~O4!xn1Eea$rjRL_83DV&AL9_oj2agkn?KHfR%gRYJJ81rZTNLP+)k5q!|>zk}0 z_YKCV9h{x1?~7AW(tp$Q0&<6+!v8Jw#9Ycgr&~UBA@tyWGxQhEy?q;tz9hVjmRy1V zkpZ55$vSsq&P5x*sdvyTAtx>Ec-2n*Jd~iHNAQ!RpK5rn!ExnE9jxTE+528vWEjok z_g~{+61#}ny`J02RQ1|f>^NVnIp}%0ufP~#01F;&s@*QO#8Qv^I{o8-~>OFHP_)xIv zj~V2u{J&ui>cfWLl4GZbY}}~NCjjR0yx=vuwZ~@${%SPOx$BM z5zhg)v6M$fh=7Wejedm{$Q&; zaL6Oey>oz>)|O&&{1v0z)*t%~1!wAOjKhu_P1^t696ev|>|`r4>NALWlP5`EcbL8S zS0e1jtFH}y81Y5ndC|R2F^8vRuEBn>Sv4Yb{}}5d{I^)>`(m@%4ZTwGGd|*1jy9u@ zj`uOY51{XH4?Z89uACeASfrkEC-VDe(pt~n5>H$3@o~z*eQZvXRd-Kkkv;GL&j%MM zR}j5Hy!Tpi#zJg=-3+}_`X9T3cft44g&uSVK9w_VTnOuun$`Q}C@0#@Lww=8e@Cww zpU+;YG@tut#v;GZfW>*4>Qg-mP6XC8Q_th)hr#3Kx5>m$>q_XAe4S`9GG6?8^)Pqf zr#5uTCHU)k0P2tP1@g=-S z$a5xz35W1|_h72Q3$}|kgtkGa)1hA4Z~M@Rj)Jf0g*}(>uA%RXK8xoiogX;lI7GMK zly5k2zG+w#)w*0|ZmNHv^o(>Kluc9kc^Zfw4$e8%Hxb7;9t|_=eWX-4@xN}yek_;2 zPrn%Y+1G8)&h0_c|1bnTw`af+Z^ik7l*fnP8d#L;Tj{O=S9{ri{2b|2)Qs1%d#z_b5SALuDrQHyaMvcUKLkiw68RHp?4t*ag)o%w*qUWd^|Dy|EtJzxgk7LAzYeqrbgF!p++%cbN3Fdw2o!Swsx^s{% zH8}y2Irx^$ZTh=ExN8V7mtP29J_q~KJ7{isM3m-HkguE!jQhw}w~U3br|18O^96Nx zCpHEuZ!{g;W%Oap-hqBG#$oj{2}kYA1T$UYdj#%dyKxP8z0{(*^2Qj=#k>v@4sz-% ztL`u0znWR9&)tCoE%XiY2=Pa6>)r=>KbhxP_>(0kjywaeo6aEzFS+XaHj!cbKrXtybA`^z@IFABU7RXEzv(Lz8Op77=-42+jw*ZAYq)7 zHMpSQ3CjvbJFX9C-JDhCr4;`{l2_AIc#8CBb zK@b9ejC~kQT#?UY;rnWYa-y(z*1g4D<8(G0OPd@C_MX6)1sSU2wf3VT?i)iM*_rLR zV_en${nmlltzWBEisp*fyQywhDMtKdJ>%naPdG2n;5>5&oF~HH$qJ?gcrC3eN~C)K zps;Um1OdY{Xp^VA_I{NbA^z=OkVlsHA$W|S?2qtp8AaRp3->4T;G#_I$KYy%5yV#c zi`Xl2taA+Z$^4u|1Ya@yfKxa!$*g<3l_qMzg-G4}wfF9LkumKx2Gy~inoAvPPov#E zsxSIGQ}eNH-NaXt4n9Ay)%EK>H4$0}VO+g#)Mlf31KcCorxxm?dv)+(Bwsfrjrg%% zJi>==qo4FuW`gE44h+!T4(?;p7kE8XpY!eB;{TqE`DFqFb-x40f&Dh2xF7KRzPr#6 zKmIfHYGb{f+1W~r%^GtF{N&^LyRxr_%J198##8+US6t{4^!o#+azrl}1>dsFRleg0 zl-cfQ{z#RcJhwgfb)Wprc=cQMh!!87eG{GcyX;J+zqy{-$Cnt})8O}b)qU^77Z2NH zGWwD*#@zk{&hqdU-B#@>Eb zoh#>rY5p)JSapjEw)8&+PIvcGuFq*F@jvZ{-*PQuY`Y>~iFm$!SM(#Z?uz*ZbTbrH z-ZrFfYjBkILwW|vy`;QPHp%_w8}Kz4cU}{G80Kk%^I(PymR=h3{`|(a>&IE>c?b+M zfiX0S`=eF{$$9-5^NaLV#YGUy&A(N#5UZ|#e{o5CXqH>twPZqxC`b5oZ z4g!BH9$<=Nor!D2PVWpOcNUh*jiG_ARWh6XouVB2>k$O|-kb%Mh;aPT{`C>s>ovue z5T8wL=mOn}3#)sY_4yrq*{F%Z@)7pS8~MUN#Z>G=@z-41w?&5RpJP3>|FDz2_yhVE zWD;NBRzgpb{vGg>#lQ93MEqm)vd=ZnVBIpQ0{SyqFEaViQeeZr1%Hg=6U)FGXO2i~ zJTHm-JSQe7XMV!~<#+g{)1CV$Ktk@G_mE#Uc+(wlR2DCbr&6GfOrL^23ykw4Ph}Nz z6blUTJ2!GBP7#m#)uLR?uL9IR>J~~%fPZS5;-NZ4ITxCXk5kESbCmmN<00?U7i-}w z;5}l;RP`-RDlm9WGBZB2IM)^>zUjp$%mn(F+n!d?)ffnq>qDy+;zB(jUV7w1;FA;| z-PLT87zXmlM_~W9V%|rZ@bav%B#LC4SeTvmFLg+u51Z{jr@$AF`ZZX_at+SG)M<`6 znz0xx_8OALIKU^2pF5a?D$88>s%d9@&!Tn~nW~_~a@EWt;(Ix2wU_O z>-R(uS{5orZnGtBc{~N5>dXss6Cd>g&y@YC(=Utudgli-$;W)HN%3h=E1-LWyy*Km6&f&lUQ_C-Q}8 zVkDtm`(@y{EY0hWMo$a(DOGiroWV8ZnxwxO`F-huZx3D{`m-z(J&50WA$45DU%dzZ zWZ^|QdJt2Ko2*P%PH~4+;@3fI>=C3F1-f0|YI=#(t`xX^qby%!FR z7cS#L%pIJcubvA%1Onotp5Tu$$1vYl=8-z^CyVcRm7VyF&v+%!8OVCAr(21!Ppy&P zUt55t%WhVx$$`qOF!ims(cZbIXKW;YHw*KANd`3^aMJzSK+GXXoiuLRff}=exe}Q>ldNbhX=lQh@{K=9(Z3rJB?)~2lg^!)TAn5y& zAGLsskb;RTHiojXUVD8gNX`e#K`RM91->n=kuBFAeoN#TVt&74h_2EXed4@7?3JPX zU+~BF&II^sda&j^{Lv@QzUzYyx@UistX%VUZX{y?{4kOW0#8Z&pugoAV1PYM!afM(}J0Sns%eMy34!n{9}x%mc3 z-Y4qs2x45wyK}ah{~Zx4JsWP=d(@KRy-P;F=P6Bl{et(%3>YepnkbaPi(&q>2Jubb zS4BoCUO3+#}C}(+Wy86p)h7-#awI6yD*M~S1K!4!{ zA^6EH0KWSA9e91>=PlG;j^Xf+At?0EV~gfSdIiwteF)}`gpLY7*B`%o5ZAA4@pV!E zUu+JEpLDbbz3lyIf3utEvX^%VO;xU<&3yyzg!S83X9^F_^=1^^#3Fgm|)oz45yX^bkXH!g{{(-}zq0?|s%f(N99q6;baeMG>xst>-w27Ga*$**h ztChI@ux_*K2IopQN8vxS@doz^>3Ld@J`46~h1%+zGvA9=@x|dg=r5>o%mGh{^^{oO z4wSYEfYg3bw5!d%dH*FA-z#e0GGvdG7A3s0J?MMo9?84NBY$T80`7xHf#8ua}vF5IZ=PZtJ*f-xmC={9{2D;?<)b9uf4w7gWUL$iLJwFK_6r_!)_yN1tMsvco)MsYxMiU_ zSLS;NU+(x67itgC_r&=*+Q$Z-(nD~-S5z7&=e-&FJ}5Fs$lf=ApK3(ldk8PDd^8>6 zBEB+N#5BJZ@F$B*)6rM>_xHEOQ#kVPiRaOCgf)b3wH)F)_=TAFg_F|DkIEvze)aDp zntIUEF04{XeSd{4=uyJ!4M9*eKomoQc(Yu;VR**B)Lgqlo+L+7}i-FEg`+ zJKWGFTj$YK6Rm_FuxO20I58XNBQJ(JxE8-#s4{cxu%EU-?u%+aSab%z&e_^q^B5c> zeE)4HTPR9iG2_!m%IYTk0lLoa$IF@}yVh+MGo7f%OkoeGd5-$&daVL1K>tZ#??g=k4il!l*?V zp8=<_A8TTZ$**jx@;*Nz=MURTGY``J$Yu0-0~b1JpDmd@aY1SmD>;S_-e$URU?L*j zmyK44WmHQ5e~!6Q+3**0aJ?Gzec9U;31_isF#O33wyAGVHDKiGcr=s7^5W^ED{arI z_f=!eFOs9oGpX;dTdvXd28zx~p+A#-(f&TP0{pw{-=pW1eV^Hw`&lS}j>$aD-xA=r zWG*N4%1N+&Uh+w&m&^GNgc7e+M#Gido z{IQP=dM%W^!!H*y=@osH_rHN9vB3k*k{B=>(CeXk;GyL6yb-VebCkq?|$){z+PD+z{P z$zMUoC_VQZ1kx5P0E52G7Cqa=)v9}{Dkf@$0iqDOLXO*Qd_O`s7W?cX%WhScd;mk!{&~0j`@>rj`ZqmhmNbOWT?OVAb7A`36;7<B z6Qh;A^mVoYKN%uRnYPc0-wSm^wCCxriTKvGU=0nO8!Ug95#>E9YgfuVr7uJLvnEvX}L` zm__>@y243OXvn>P=KEE;n#NW=|7NOcF7v(`K(jt)va#3D7c(8m=*!0j{ z^~Aa9v;jqX)@G^2y&MI`?*q$J{c1#}ay-0A?tDOjM{o^}YW{ZyF^r=1Z8h>epV*TZ8 z4DA;qM4nNadoj>!`H*=7jd8xfruY#YCcak$bVBZn^XE<`@wH}x8+>UDlHbtxMYm0` zh%RIJ$51~8^{ow(_v+n++NbuXC4#u7<_q-7DcQRh^^U(|h4V?Tym-uC0Z znu8b|Onteh2Yi0<$F6b^pY!}*leHJ}oGSq@QTdnbXzj&qjy^sCf94sFQS)eTLf;GW z>;vqY;uhKG+=$V(z@D<}?@Z<(`4eY)4^i9^U|Cukb|M0mvNqP4(?FjYa7oOpKVI8F; zasaZwX>!c~ZR(fqUBQjy`)g(x0Y4FSs&g;}vw&I-JUQmXn7oveW9zKC8hXNpp*_Y_ zr32OE`Lt$~=2>iFi~EXi8C|$&pe=l5-1`SVzky)R9PFXt+F2c)f;~LeR$E$v3ygzq z4dz^?Y?lY0e-Aj4pK`#ZW)9xO7&5c}^HLB^iTeA)=nFU(dG1{mK@zL#ik?IrJPdh{ z2RM?{HVg)Tj03sIBXfQwZyEOE3=)iSCF#|?@1Wea{A7}zAk6!Wu`9PNT6CB+_{YS@ z^ZJHy6@OvHH1J`73A=*)zVvVZ4*w+=mSW!j8(i>x&hGRSF|1w%VKTQ|L0^*GLrWL) zv5UZaMk?^foGd#Bm8Lz2QK#%8N3H94Zr0P_Iev=pze)iKchG43tR180MEl%Q04Cp^eP!^H##;x)Xb0CRRSsG z5A2hr0LM;xcn4W=zQA_p2|kSYru*a?Z0Gne+A5#pXUOjhCw5~n$k$_3Qv6+k4;^2qj1<~9KjMG{cWCSB)}*(cVQx#;LG078=M&wm`%8mNPNxxXAN|f7%aTI zxNA=Z=6&H*3>%~QlRBxIv&6i=19enm!iYpyMPHKQ&A{K`KBPslGztrYOQE=bi4p&j z;R%Xct@Yqrjzz=FX_Myg=fGDl7q_>@7CxV#?|0b?B1-KtG#znH_9qK}sU`Tys6)#c z5u$w`*xR!2X}E}9>5-ef$n9;X@8d`mH1_nVS}DO ztcOZ~H!i*AnD_Y_SiWo)v3>ja`ec2ddn3P(8sC1q;|Wyqd$G5y#8}dV`Z>~9;5Vn3 zKQ_dVTEMq+_1`4n^n|{%qXV4BhQ5FL-M`i69kQwpK04Rn+|&{)czvv7o(rR!_qLp@ z;XIV4%00(cxj(zTlxP2gGYv<;VBdyp`t{?)H+lU#5L(!_wL~rqDWFwu2V*H4wSjp# z`GzCZYrBQek(lFh2Y!AomYbZd`MEOSbMQSl2l;)R{}nfxwfAg8IBg&0?s4M}JO|uA z3E%EvytdQ34koTeE9?f}&t;2C#%uJaV*OKdqNTWJ;I6^g=Z2W~+v3Z4Zq88uY;8ZX zW8+t0FyYhHw<-3?J%9sh``&@L?)vxB@F&m3#RvXmYacW~FOAlF8uZGEz#B)m%Qs&5 zI6bTqmq@S?In{>#!u##SEs4To3XYB-u0!7Yp|j}HpRR`Ky}9KWu;e^!c|)wR?JN*C@{|VLlDlPs-BC;@2}&cmMsDLdHNOkO4Hq6|GnU$@0TSm z(rfNNFh}2m-=I$%zJ}pP!B1xWv2QBz>+dxX&}S(BV-wiG3QmGU+>b;Y;HXK;55_q&c{$cEZs;i1~&41oyz# z%(lB9TjPAe*KrPeK91q9q%h_9l?~SC_;(vhWWK)x=6&9`XFCzs$)B&BtvT1i_QbtD zyGukV-)nV@_)~w$%QL2-u5-I9{4m@%;2cQIZL9cAw)l^8T3hw}uW6!QX4Fdgo9QlM zMUJ0GNbd7C=KaT9R~;Hd(lZaSCb-$}4 zA)au(e8UXwse?bcDzHQck-KlhzL0jVBIV3D-u-)8-gB9jJxT#IuoZo-u)3qW7&XLXAB*E zQK|JRf>#+H~mG!=R!+YhaHUit~J{h~alm($Dy zn@g?6(@Ye?{F4U$bd&K>NkxYAz0L9@TMm|n*ehRnO(wC8b?AOq;p|?v3DNoX0_H^a zhrplQm;(&&M(RGZANIz~(Qb!1A9&i1;KU4nje<_-m`eeeZUY{w?A!K(HxB;Ly}s$9 zYreRF`GwcTzj=#~>gv{b^>c3rZyZ?H*n8kyE#SYgz>xiWKWDj5uY+DWsjKP!1^D?T zN8K@0xpfu~s>%amTlBrc4w&tx`IM(G-HF!^^=GEb=WQ4KMZisY9lS_l z@@Ji-S7=VPY}HwBwpTvb>qzBj?~WYmD ziP$YUIKWKXQHSDRGF*DT-=|oV3p+AK?q~CM!*2;)HfS^adZ}o5pAEn7-yhb+x3cK> z_2IT5@@rQ|?bqp)p*b1&v_G)y5D)$J{?}K(9qOukX7IGS*2IF7s|kbl$Q{c!JuMCIIm8A97oyLxXO{4l^94o0p(_Ki4SIL^E6Oc;5hPUL9w zF_eKiDffRDUn>=&dR~!< z7)xIEpKHc64t`)iCi`II^pVnjR=r=E=B1yd5lR~zzMAYq4v=>SOi$1r*82mfLev~n z{AlPeER4Si)jrF=yr~=)dfkerPHc!e97*`LfBXJr7JXTZ2j`yxLwc%uJ5vt)z^krW zr0;hZ`os^hkkS{=3;%r!Jak{zz=h6kd0^AEQ;zm>!w)ly3!i47#~cBgv6%O{&S3G+ zg@$l~CSiVYIGa>sZ4`0M>Gbnv*{_5LqVE-Ta+_>@39do^e-h*6oaqdIGUspN!Bb)k z$M~RR;@F85zFe+TF)d4yUexA4+bIt;T=#>m$03)AzSQQ`a*Z#*1ljktQrG>PL$*!` zQ=Usgu9wy1*&VWx!)=}M&-)CRv919`kw5aM9 z^po=iAALz}Vesnl2EG9PXMY6MWh2jE3w2K8h5Q|Z$HTeM_uC^Ku@C%Y_V<0ZM?W(A z_fKHoC!kK`k-5g>w1eFHJ0idDmk9?)B{$+2IbZxdoE5Et9{{${GQGtC`}`F}fYCH>|JE$J<&oLRazC5d)|Xh` zDuer?6}5^(&sd3LF6K%(#MjqlS;^Fk1E_uci0ks)?;v4ieA z;UAON7xaCpv09#Q{LVa`@ln#B{(ecI`d$8)EqZr<dc1I zWf{bE>VLwY{Fr^?C5O^g#5qz@T~%K}Uy|tf=u6_)K-d5`lILw#G+~S7^i#h$x?PtI z$oa-s%!k~TsC$O);KOjAaX})1HW2!5TLiJqWnrMZ^o0&8i~bx2fJBWU&Y7LV`>-cs zRGX`g(!R7bQZ7MTVZ8LPK7o!S(I1k=9 zzqq&gYma&Nw?;bmS{8VUz8j4`@e{~(#I+i)Tnt+`I(-m<-i{&418o#q?C;4nrf~kS zE%KghheFQfYpf4Xho@05ej!vuj~4@8)`Dx#zW?p;Tk=3q!(aIy@WcGg2BdPsiDlVq zkGN-=!a)kef?|sPcXmg`}{uRJ+msO~XF*lM3B^nKx?t#g(h zhv4}*CwLHb>ma=1NQzPp#A5Wy2`J;1aT4+D0OVgX803TJg)uxI@VrRA2ss4t`9j|p zJ!G|6eX!8?nO9eO1^E2T5&J8KZgYQmnZa^@ScmUd^od`Qubf`^s%|d}aZI4ZcXthb z{k|FIDBR;39WzM$(SLy}#ePjoFlBMz1^#5z7f(u_;~>4Rfvb=g!fSNEPp*<@8ygU< z`5sex_`#}!ZyGG&@06r{dZ^jfkEp>!?c&P(HI)) zbEnPMZ&UQ&zZaqRQdd$A8Te_(x!Q>l(iaoN-MdDGZ6b`UceP%-e(`c zY4FGR^YsUKO02)zMd^GA-*_T$xodA17;U&fWQ8+LNB#N!n-&s&U*7=Djk13XdELSv zz_A23=o$Dh!sSE0UUD+m+_g71C0+eD^-_tks4rR;8rTXOUyaYyzOF@4!oBxBjn5Ga zqR34O@9HDwFn=_?#KjY@@q5GH&OHhZo@NV&=G-7~mbqW(BXTmxS$j-PB2WZtPqx^J zpS*@og7B{_;4TBIjAUP~!T9mMwZZvk9#s$cExC{h{&&WSy~xG950_zUe255_aoJ>v_SvFC)$j%1 zocCjHCaM5~qf?}r-lM*#OYLyF7PIfdBCAFAwxz*`iDPca#UMhs?ZP4W8F;;V1NzH% zGpv=HbhBvwaOE9?ec(qi?{j=Asc(ktS5xr3tOj=FPIfT)eUBHYpR4+WH#rFB@a86P zM0ip5i>vC`fzj%Ns~bnZiZS?x;f{+;6Z9pCO$E=(NAw}Q#QY+hMiY7gIau&tXW8Ga zJQXHB2V3mN#LxoKwfyfZ!_=VXC#tuqsxk>BV3(7!FZhvz zOy$Wfiz37auiZj^U;5TDmy9U~XL?!O$N2u46i*zx*o6HU$Gkhg$R^y1Ys?&)Ox`>Y z!w3`DguC~fo%W9nNszwjzwo?B->z-0!8$@KoRhrwsu&7?Eib(MgEeP<*oL@{ zVAXeCJ$44fb&)zLwXE$k6=2Q(t2Jr0UvW#WYVNX+ z^t=^DUvp5S>lm8Dy$WSg=?MEu-$qbA-@ANB^S;Q7Nl)DkTjCgIgNRs)WxwpVW^&^m zg_KLi73@KOT?pPhbnSV2z)xoGQk1{;ecM8R2|?oas;Blr#n_84`YZ4*B>%C~RXF1L zWkZPL6k}~eWlvtc-F0IhXubWAe-Rxr$%pdR6tuPmrqMj~fKIeW-k627`98vnsSTbG z+X&{C@TXP`E`nYuKHRT{>)cV~O_L#L^mv2MBjUM_{{x>NKD`^YE#f!1kDUE=e&CTa zoQ(JOsSmh6vwt!ofR1snCoQx%fA683p+4YUpw4Xi_c_FmNkUZ*suhwx^5oCyl1H!E z8N40wmlqnmXKA%Rli6QLa<xR~BYYTpo|UB>1kDud&E` zJU$Qoe#~pDHdy%VduwD9sH0C?!C%6B_Y=sK=^T64n0y}rbc>_*4=>K3;cOhLi=P7v zQANR;XGb1c_I7_eknGd$Cad1zil2NeXb!KKk)h_w=ly;If`S_^t|bceoE9_w*r?; zbf!ZI6!k5fJJ2gd7le;1jlbb~!&R@T*i-Lwl@llpe6J;aqX@6<${kG>0uCCaqeATi zdE!jF-#OW=Xax=t3zmBWXge={4}!bNT)+3|uf+eq;8z!d%35z?3jC0;+x?R6p}jh% z)5YI1C?b{6nmDxOUxfzO*nU%TJay+ns(;Y;%J@!1qQ33@5{yRy1{i1 z&9cB(Vodn4Fhbm;=y_e_cdOw$YHKST=S}Op$O*2U`y-r*dsUBE!L2~;?8h=4)X$7w z*HkVNoEl5gUtH#v@hu0Gp;wNFE#}kKKvsWXJ)vP?1#V~yzsZ*4|=5|@29>) zUlMRnmMM8gDF$JnUyRqOov>&3fsgtA;CFJ1bozqSdd3Pg&d`4 ztyFU6;!68bbO7tenuAGoIrw9`is9T==eEA^C$n$@{UwL>*ish_=6ofmo2lhM6dd9{ zcAqaGo&9MF&u!qt3}q~Al&AKreq&F2eV-Zvft8ynxJs?K=>z`19?$baDTGjQ)!C{3RU z;F_bS=3idA=)H1!4y^j!q!1&-EB%75{kpfvZLh0RFz|P|P2XL|+mIc83S+=U|78=CxXT(K;?N+vcSE z*|Oln@Bp==JuPF<#*;{LXoe=%^)ccTa$R~${OCVp4^WHwt5pNlhmQN$4#uMNu+m8` z*2H~`Ul$Fa%Sq2b%WxW=xBScm+{eU+J3U7Ikk^n$hL83=<`+J;)_^m?cAv`K(I0w| zjheTO|4l>!!rxK3FUX5=Ow<#;)4@f*-kh8jtoM^%uFAcg??A(VSMIqaS@)I;(bLDc z)IQOg$9G2GD|5Og-qg7}Cy^L`9{F?#`61qU75x^2_dV;DI5dK`An(!}eHPM7jrYwp z24RB_BfVW;Qk1)a{!00re_MPXyAwf;@bP*WiM}N04SyKuH8@*m)G^Ha9TA6#2)%4D z=WN^rGlAMZ>yNo6dIG#xW#sqE%7UcGD9<0XwRm25VeVs3{KxJ=uVnjg{9^ci*cVYg zg#J7W$LHX&A7$BrLqwOy3?siem=^{$NZA(QYQM>b!oz<+nDJiKK^UqC(C(r zb%1c?$6+hu;+bd4QJ{K$QMZ&*5(w=@|;o@^7$(|DP%hP=gP{EmR%wqu_TxI4Le8T)9eW#tX z3GSoElLuRAKH`bJJdl5}-CybweCwr|U)&~~{>R3gi5BTypZ#MD`SC^ec98gUUE#MB z|IhXax>WnoO!dL7bJcu} zbBOMXo|^QY7J1DO{qL&?<@v(5KO3LE0r2zhWIXF%Y1(6e{uf@iR+@)?v2-+Sf^Yd5 z{fEzDu-9E$!sPieRCxoBytN0l5cx{xf!Rc99+qh^)Xd9kCE;@nu+dTq549m2mC*~U7s86~)$f|qJ*r{K?sF#USUYK31>dCHo#%HYgLkD7?%$&NwK+Ped zANglCmd>)0a2NdGA45$4+Eg?7183kjIGlE(5VG!K3oT)N5c$g449YGA9xP(VX5=gL zFX3hZzh#O2r7AmN&oBJoW_OJ5Stx?vlH1g#&di`P{628-Q-5MXFij3ZP%gn$eUJMb z2<|~+*pXyf#=vsudvH(O?g&5sSGXo@Y>Ihb_S83xUpQB_I+3_F<1KOy!JNZHAB=FP ztl)@4t_g+TGLVZ;9)!^#2FVW^qyBc>$2v3l1p4Irf2+Gx7(w(E87k3e*Zb|LDktr$xAjFFvv%}D2aL7NDjZ*zQTAs0O$zc0PZ_0mO8PD8#j zmjfoyUywq%9s>PkS;UUVuhEZu61JH(Rfp^Evt&?Y+jY7D{x;W8;yxyvSNJWZ|7;-67hZt8NYZ=IZaej#ElZ#zfEqgfWF@3z z;3&y8xTT}{c=+HL7;rp{s_}yQE#_Jd(tFubV=lVh;ia6NKF-RC8kMa+hX2}A9s?CH zzeKUWz!a+-P3K!i++jn~+72fClm|C&n@xKz+T1RI`#es$*IEu!zz?w<~6}#%v)}yp%Ymcq^RyM{G*OVpoG?SNr6)zdt*xvuR#!P}iI%d+m z&?J8fl0adR@r?5yH$AB?Y<)-1+3WMaHIw+-vw5wn@>{Bh5M%zg+%PG}({$Bn&;3@; z5hUX{_Q|Ys6tqs${>LBF2p`v7d1mm&C%|y}V}kl_;fG;2wio&=gd6uHROgtJ-o&*@ zNA{t=ivznE@LMiPuQ(5Sfb=$1xNivGxI$Io2siYylK4KLSMn4Vn;%Lc3;?O&sdLjV zdA4s)DPDUvL^Y zCUQ?5;VXR^CfpZUZ|IKq?HB~_!#t5k@|oaVn- zOT;O^<>d{-21V|VQxl1?QAaNhA?H&6b+3bbGTS91C_;S=H#?I%%M3fh=og&d)_P;) zy%`68vc}DkZ^JdLbW7y<}t}NWTpC zR2~Z-@m>UWqdwr~3Ad_Bk>Im`J@db?AuUc%(7e`>0pf3a zh zMGfG|W&z5j^a~}yZqE0h5dL5^cOka_?EDNq1nTQ5EdvJ;{?mML&n6=6dg^5gjpQQ6 z2L%S#PWPXPJ`2b$o>}0laxwb>_*F4j52j)r@{JF%oVa&bJVA|mZ#TtC+(za8H~26N zsDY1J&ehkxBt0NGNhGn*zIKvZ`_Uso{ETD!ShcsYKKjJ@BJwr3<)~SV^1(itpR20D z#JA7J(`=|Ow%~8udFgv#vJ>q`e?)`#@N06=c~yJjV`LljO4J?BYxi>uNsi}Lp22m_ z1#VGPhru6qfl~Wgt4X%-(mG(j@EA3yYy=Gx%B&Of!LJ&=t9QD5Klc7GytG>GDpM*Rz_h5jZd<)~m z-dPSb4S&$ink>3@Gu+d-r!=KwG+jnaCEYGgeP7?*G?)jmFC$U)bpR`FGshaw%RL87 zHsIXLUixKc?GM@;MkYR|8jsPQ`PV6g@zZVw{QP~mXT1gPV{BMF8=<-DqwpJH?a;eH zEWtH6dUVZVpY}}blaZVFFwsnn7{Ic^r2P@#DX|T9WW^$beNexj_M~RumU@0~FJJ$^ z=s)ebX7jkY^N>e|9l^scL^+R_!FdxvM6MCL0t4gwk;Hv=-JtJ_AJH{Udtg?jXFWpmZb|SVFzq8L)pTz3+gtS55Umr)3D+fGx#wb_vk33@- z7bv!ll3wFb?8n$Q-^VSRc#V16&#H5JYv}th7(IqwDO`fa;o>hphIwE3WIx1E8}1{z zg7XFOukX%U30ub3cj4PA_+i&O{{V~X`Jd3A!TB`!VbZzqDFHks7C?||5P#*qU}7xS zfmm1N3oLTb9ysjBWdFX`RreG@(Zra}W{z=^qltlD$sC6z&@0&{nD%6da$Ue56HX)Y z$ik7X=}ufX{P293?!mi_(fg(Y?qfX2!f#oYK@RX7e0w=rBvc`<@~||Lu^3@ zGWGtt3VC?e_ip0nl|1S3rg(6%f!Q2Z7xPP<_g33%oPXei{IbWYy%*3c4essENLCIO z?(N(|6pVc`RP&OFJMD;ZS*KDGs1yuUvtq2o>UENTt|5I_(EBA{w<(OSoaF`dtm+-<{8mNFz>UQ zIQlzx+R4U?$6?Cz8#;!v5D)mP0rVH<(86yi-1R6@9$M{D+CQ<*R{E_+{(!z$_IGrJ zzmofoM_x9VKQeB!nOwQ382Ocq3p;{}roku7y`12UXPvLuFuP(GGE32~J*`AOX)*kV z?E7f(!d3a6Jwpg7$xl`4hZgswUNyuo3BM)(8u!7s&#~p#!_!Fm&Kji?kBg0W_)ty$ zYxX3Nd^yl7BT!fJU{bpFcUK>-d6zHVvL|2qF`la7$7G9~ZBYc0=ff?;cGElPuT)OH zv*ZGQ{Kl&M@D%}iAK4d5!YL`~spnm`i}Zud?g#%E`+K}Rh_QH%2h-_2>|Yj-RNeRY zDKz-UFyTw4@b8abjv}Zm+jd~yfBor7>gdJbFtXs#4IDlgSt_r=*N6U;FLyC_p#SzW z_SN{UC-nq(sWe~c2Ky0@f&Jbksh{D39U&z+b|&V154^}L!(Z8~6gL*-8myZnXX8Ew zyj$wYFy&c&M(&mu*><*i@BhuKnCGP20_P<3S27>vOM6;47~snucwX3ul^KgJd3NmO z8L^|=H+sG_ioP%&dnx+Gu+Q?3%vQh6P523LZB83+qHDYk+GW-r=QZIJgBM?wy%xD| zT5V&MyWC_jfvz(-ylye)9Fv1^3R5k_e|?$%N7Q*oRe3gB9K?d62`Xr;vBVaz#R`b; z*dTTgP!JRl@SyaLAc!2W#NK1?vG;D&*jtQUP_Uq)F}B2l=F_Nm&kSqb{Bu|CO7aQk zyzleO?7e?G>YgDy%w$_a8(6o2IA5lhNAtzMo>Y$mKc@n;&(;Tie%1*KZB*ZdZ$j>c z0l24eks$747^f~y`lRps`CIZ0?zMd$m7x5CWBxRqj~Sdd!jtP{(%<6~C+$ha{Bja< z+V+Nt6c1X}D%{6}=lBGCKJ?rS{+9Iqfjoln?Y%4s_|(T+KSvYu#$s)=sHH5nt{Ti` zh=@VnlINSTK{T8ThRS*Cc?}+{{Cu(C!LtA28*AwW=mp**E-SqPp;rno;2r#yoS)l= zd?v3$f6G%|K6n?hFKh+>Sf2{d#@VImetmEn9bmvN_RNQPvlSDsKHAM*RHFlcIaJE? zyBMtekM-`vIh{)@uzzBISC>e+*ZuWlHeEDx(6-oMF7Afk?8P?~_7ymHow3=9@*%0= zoENO;KJxn$QG?z!v8L#Tb3f#$k8ZA>FUdjal+8s!;D@k%a^#AK1|W@pR!GQHKS?~E z7l21v?av}S4qf{?C#!Gq6}aiZ)eiEH6aC%(C)`gkRb572jC*22hvMGGA2@UeiJ>GV zQ5p|GwXKAod%6+!9l+#zIGMGl_s=|I*ykP}UeqvauX^VY8htkoD{g;6D}1dlT`iQS zT-A+YssX&#%}%&g*Wt(C39RAMIUO`ta3_KoL(yVXwEA4o!~KT)f9>JtN37yO!4T;q z3PC?ubF7ztDvSFd8;fm&WbQBUh3|uN2>*mi4`@92Rl;u?5KV13$hO!|xL8M~n)N<4 z*+geymrZDwO|15IPc1T7N4QqkmgLv&nn7Pup(LL6qy^j$3Oz~mP)`SakH*-j9~t|1 z&M!xM!6(BD{pL}`vG)cqVyJ-#{NmS*WvQ=kA$&vL$JVd0^`=zTeF91h_8Elj>OwQ{$6oNI0@Xt6&Sm&@rGII* zgZ6op3@5>~91kM4yEVUj!^q(L*^80HvDf?Uz!m4??3*-tggK!4=rr}kMS4ijM-x0R zg2~w7MSiG_{SMEI=&|T~eZLLGlv~_M_{ivcl|B0A2qBY_ods{QY2^Z z^X`Gcc+0=zGpQC2(m|2plOD6B^n7WXEPD2!Cm!^K4gDT*!lf#Uy%uwvQg5Qa619h! zUdie&#`D7Kpd(|FXfqomT3hL!ty#SIG6!Ma=D5MfA$bPJq<(3EUJSG#pYRP49{Mu) zaG7J?G0cMaWASo!Q+;Wqo%*WbE8x8J>}egS-Ty#p&W}*8XiBvBhu-_%HkK`|JbiZc zNE*vPfCodQ@2W1I7d}^oc(G+lnqtj9rDPhhO%-JN_SvO?1|^)1lyd^|1y^M z9!vbxAGydZxyV__X~CX6a%fldheD@qcH^#*!bUsf#e`2ZFoXC%-vIea;fhTPpzWNC z#5tn9UN-831V==;0|^c^p25SdqO^DIO$=o^^Bd!qv5EOL(da|w_w5mX&2vpnps~D= z>|xRz+22m&!^T|j$GFe&MYBY@#6VQcr-)njT=tiVUb61+1N>uLKnfn2_RCljW7ke0 zkIa2$1M8w+4A-GEOD_u__{co?ExE`D=Y#Z~cJ!tPz$=u@EHOA1wBFKH{fqsrMK5dv z{~^avyf-@#$4ToUzt44n<(~x+=$p8Cjl-<-}*WC4fdLxeR+k))3Cqnb3|Ba`S zVt6RlTzUh0nd^SPpRM_#nm*clKOk7o-)%1HSN%|f{z4Aj{JNCawbWVpV1v`C77Xr_ zZ>JEy&0l}}$XHT!?cr{CKQP}oE;5o}@~;`UH%t5y-7xPfKhZ;bmarc~ZDq%^Gt9(z z;LZ9of4Eo8oEHpYzxFz|nk9dS(Q8T`rOmxCXMdl#(WOBG)N{E>VNt?X4` zRAONV`c*U5Tfg_ELOeDFZQ=hy|NFym^fR-5>J+5B{RHHsn7;#kzYp5=($U9vi*p8x zqsfuq!#Dhh`}X$THY-2nut~T#HWAsxYl@UU_YK}d?9Z{4p7l|=8PxGo(StJ&$GdFy~E;l`BxDwaA)Fs;DIm+s67KtG{JoFd zE5I9P{06u>yr$jOCW}4-f8=StW-x9b@s})OnXc(s?1TB972&PQAmtU~`h?^$pUWGqlgGWuRQzy+R?#B^S|(`+tMEs3K8JP<(NmzbDS zHlY<51X*w>nco9WiuB&&J$YqTz~>$#edstaR4=9kmvY@*l*{d0lNd+Y0P_XMY5pna zBF}9f^vq&=xnx!4RBG?W$@*f0?UuEU!4Jc|&$#!qtbX`rmfi!Blj*+=cp)_KB*suB z=i8o!2!QPo;#>f@QobyK#@%mw5GW?bdW=et|hI#W5W?~%r z@T?n#zo^jS8NBK&>YfBIKXuxsY1z&>ry@m%-KU~ZG@gDt$ zgK?Pm**}!Gu5|Bs2YDLgm(#3=3h(az*U&3pKHl&Z@|At|3_R0#R<`=r!io&W9XYMA zCC2K#-H<`jzlFY6*4a*17^YmT90%p9-n9|m*gN!DWN;9ulB4GS;7=AVY=c-@hik;B zK?O#)4<+qmu?tr|J@{k7l?8u{^Pl@#XHhCXrpaBd8LR_4EJUC9WEc~62N7EQvg`K4 zeheRvBlctR{f3`kIJ1Vea(AX@Qh^T|q}O79!9ByZ1BvYeC%`Lb-{42*JVSDDZ%67s z-^oL`5Y=m?Q8whOT7GHNsP>(1&#^bFg7`=#_Ct*M`SZ9JjYI6Oz<}SMFD!Y%vd7HD zeQYdqjaJ8Le_juK4*;SsgzrLn9=a48(%bmZo_IU?UwiaNA~#wFJf#q}V;%}t9)5|7 z_TwRs?1Xz`xCfpW*2{;x&@c`%{E;p>n4O(c3DXjY^58PFFW^(A=6|k7%3j&)-z?Ds zzh4bL3>!*&dlJ%u@w<>mW}j3g^uKVc-WKqbINmgARWglbU!cbz;@3vblO#P)c3A0L z1m1@y9``4Bzc*#WOrJc1_aJV*nE%-bH$6mp$t#Tv5H7{HQ!S_r_qT?)X|884@-L{J zcYAB5Cftv*sRN;{VSWPME0T{fN9%l9c-s&TL0$Oyu@*e{aERpXd)LfSKc1CYbCz}B zhe7Y*^}sBO<{T_|7u@eSANR2iZ2Sp~CQmN&4-F5#qO7*h* z8108%d`o>?L$D9yHO4xB?L~)vdG~CW*A<$<7taF}`Yc3OToxkF_lIhUa{ri8l%jlN zUP+ePL-Hz`SWbUYDNDJ6cdr?!6Ti?nIZOR7KLyboz5spl zlKj$$=EzsFk9B(&lJ|s#H8D1N;RNUryqH2>jHwt-$iFP*doi9D;o+s;Fir#W{QBWY z%`dk15I)w&>S@|H5SXUCY|Jm*udyK_UO(53UL<&w4(aND`y*KW*lXOyw=omXOE<&@ z-mi)ver+9n2Hu4j$R4T>p_0Aq6B15mE6?S%w?41ve-YgpTt4ZUJz9e%LhdQNg1kHT zw~qqHo$JXkH%YJikresd&MbXsu>9K1JCiDKp(%86>Ayp+9c{`@N*W}SiDS2U9>jQ* z&n|JafbE~y3-h)5@%bEL+i61YWbHBf-IE|TUU3diQtsNPGU^-oDqeDMRWYx~{?rlv zG040X?2yCao@dPaoab+T*kA88{VbIG-N=plaS)<|oqn#EUt~|eyaOT5(>v>Ngz9&3 z_FCI8KoO-ve4eE9FD4#1!=1uqxn> z{SMv4qr^blbN%p=F3M+|Xid>mKuUyO`EzUBoHjb>oKr1OdE8gf7t4KBUdKNS2iS3Zvt&}+$ocD!F1H$Ul!7u|;bP|_t`{I*u$jSHS`kGt*} zz{88;zN{4y`g?dkp2X(W<)L9K1En2to!O4d*#vA{Vfeq^#A~K!9ie;T*y{X~3o*xg zMt%)qjz`=49O50?!NM)Lt#m z68_`(rpd(gh0H?em8g%1aK-Zsyk1GXnHobr-FP8~_?k1PZ?f`vG3W9*)NXWX|4S1q z@fY2#9WS}yM%aT}uIY#ydcMIiuYt|Y+7pF&AMq5^uABbEF`OI_a4(x76 z((Ce{ncyydT6S{>-H*e^Eq<@L(du9KFEDQQLoyn=%ndeJy&a;t75JJf!mhT*0enF0 ze~#A<(td6q%=^rle-la;09K{pe93|xH#8)g(wH~D%8x8ih%sb?S@$E$OxjN}D4Y1} z8f#T#h##)EE%DdId1MBKvQGEdlVptUN;Trf8 zcjDp+KmP~@Oni(H{^|cR3k>OT#C}Zr$S?TI9%;@joHyL({lt3B8iz zMumOz4C%)#YtmfQNDuYH8fj$RV9(_0H_~V%+i~XNd&Z!@S*6d*OE22a#e?wk%O2z3 zVCu@c+AVkL3~cD$+i?`m^Tvq?Vtc`#=&_QYujrw{bHjr+_Qcre{V&n$!@ViZd_)K7 zIvnQN9~4%pX8#zvsx6R2VwGVN^0bc+5+=O<&>7hjiW-4u;3>&I>82lThS7K86U<$_Cq8dd zZu$6ZLc19Vkwu2|Q$gRC-^a`h!zq3sF>Nu04*pc6-WKj#PGL z!O3$Gfy&ix6ike@+Bolq(UD*DnD;wz9tM0E>9xi^tnm-H0oF*@T+|j18jLZh!ug#KL#gNSehU3}5uWTwowdvEg53a=PPE zd*SxdGE9X&Qo)pIhb9h307dXz44f$N6m)~iIg5a8~BsU3(&F9upfek z!<F<>rMgcr< zBIhD})Au&Qr? O8kqv9EfEI^T;UW8ab?1kRTd%d=a$^-c)g_r`9@e+9x_BlbXWUlR+Uri*K##~F{nyu)M z(b_)={Uu2T+N(OhK(FNSyI)2S_2t6CcV2|;%HF&MC5CVV*K|?;$j1tj&vu9Zkk|b6 zes$3O68iXrn~d{`_1#-m`G)uw9*v|VsD3|m^w4vwW}5Jaw)TgAj0KBu59!rH%UFwXS%>`bZ#%=cS-&!SK_bnzhkFc1!Ufp00j1{Ual!F9Ir5b&PxI_Ni7^T0uaY-^?5?W*y@VJ>QCrsPljMMNJTKmb7%%zB^w zK1BHzJN%VXlV(92``BjZCVhIRYuTy)xY$hI3=-OpJ`2wIU``SLd{{K?|BC}S1%_~Q zYDH38=4am;BK>6lR?i{E3A!LRBs{&!=v7R;Ku!9B&kx-^;##QmJ@0^@;t)TV-J|Il z*23M!`UyXEd2%WDc_RFaZ0B(XZv^p;QB&_4Jz*=p34b!rcbVW@3U?3lzVLd(0>mG+ zA`$aG#@+2RZG><5#gt5A7$h6%pzr0bQN%G>$6GO_KE?v00}srYUtlk~y=T8aIq^K3 zl0a}zmW*@2UN#fX>}yUWI6%z%&d|NO)=DH>90(6E@3T%+!1pf}Q0z$kf_sq<<;B-& zOX9WUcIf+jZtueLB7B68R}Ho+mK&EvJO)}U3R3=vg*VwS*C(ySsLnm2;Ejt9ytXwR z?SY!zxzH=I&sl%ffmU$hGg5QhSkI5bsJ;`_) zoSK7sDSoo>cw(P)!wp`lPlD%niU(hC!$7AU{Ue^2M*J8qjT1jZqn{&0j|})Qo?i04 z)34Zg2k!30N6;Y{5OgeC{m@15jq)A|Tr^o*#JEU)`_RQ2g!SnBhIz<~oCbjGCuiY1 zIESE*4+h7Y$5W`kEToGK$z_CRYHk6X2)-wjT>*bLeh-(LB@@;J%>yvMFpgq$=Qv{f ze?ct#I7qMeItR`w^9BYb(=Uu;hL4>w>sv#Tw7;d3l{~lgYs3o|qaL0Yt{MF$Am0G} zL8DanDD4?|fd18Bo-_)LwhZ(Q zP0*gjYG=D2REHmCMG~uM7cYDE zh3;nJF{|mlJcIjc_Wl5$JpVDmLx^jV##zEY!U9~Jh3XFJZkl&Vx0AhgpJq9FKfVK= z6902{=&$@`%$XJi(F9u_{<>`l2c{qT#n^ZZy>b#8;@YFfnRz>2;K4HRv`rAT09b2y zcowm%W2Q|Q{ea`TdPcVR`$pzMuY8BZHhAOQ55E}qI3ACG!ag>3$Exyk;|=lB)UQaOZy8*T{610;UANjhQ$+^8T?nBx4qQ

_*Zn`Yq;v=Dw$#veX`)kQn8hcLJ{uJz1~kTs54r{;Y%d zrR1RCXOVLuz?=9rICg%C`X>xm?I#CM=`3u;hW$7?IuoF6D@W;FT;&<4JixlarM*)5 zhBfo3um_h~GUW8xPV&Q0oGUz!y$0u!|G-N;=n_D(ZQ)PmxcxKiv4>avFJ|pX?5P-3 zTxNv!T-S##cXjAq5!dmd;n+{=03DZ!OleZQ-Z z>LZE4nhV+EqUU)F<@3*lUg^sVy!tM(=Sy0YP8`3kULlpL%0XXjU>p4Nw!BQ?`Hk5S zsrTrsS;X}fchL9B9H!niJc*BIi}*NVe(YrIix_{g+cYWU_aNEq<#wiWCs>-kjs|)$_MbFxGx19h@A{1u3VWuzd~WmAIUV2!K9TP zNw66|MG;8l$Pi199aD+I`XJ?kKNN?5o4FB2RwHfD8pCbmWN z{xgIQK^LkQkVwLL_$F2Mm`UG+Qy>@O4kzs)$KS6M0FR~45p$Fev${Xt8_Y)>chx9> zepYr9{7^+NH{Zd13S;lhYm>YQSR4cvN{qK$YKf?sawsQOlP zAi)h+p@|cERe8}=J>U2bajg@5z^B1}HE9NN`tZ#xg>Nhv06F&avkdrlJ#toTG~5=i zeS-Gh!dEW{1#gLUTJXo1ud|`Roo-p5e3o`AjvBJD6MXrlA@t69Vm7^xJr}nwvDn~v zNb>{W2xIMZy`EY5R_Q(@`Mx#qO*6mqd};qnOihYHAL&!iT#_DLfeq# zXyjG3|K*XvYwm+~;wd-dpqgef~3-_h8wTiEQ7mIe*yOC5&V|IDgP!>ds3mlH044o_>;w-TAj4F6Muf? z&sY+V9mQ2*gdaAsK^ATC{2Eu`tCD|d5u2s=KKPU6`Lgm>zu2@A<7fVW4t7!ATt#b| zg==v4eVN*mcFuv`@jk3cpyoOYgCu7?B`41)WMgg>ljaP-Q(AlxBUO9E$^9`C^9$DI zb3S5zF=Kkag8SG<(10tQL!Si~PL4>@Tn7Bfk_-4Qo)#ncKe#V=7aZh&pKtJk|yy#!LueT6hdR`MZLfe|}l!11{^3sC};O@0TK;%pZs>~OxO7Ok#!e>#m z?s3y@8}j{uj%4P=>*pb=Kefia6oqCltH3wOd!~9pw6j(8>TW}`NO)y8Lq#V$7n!a8 z%fZo_&z;~$Y?}_9qP*y?b4}WJJSB>n7y4Qd|nPs{;x1BVniTz?S2T;&o=@tm$^8FO`wZd=7Tj0fYh$Odi4CfN_p^-

N;#j_xl512{H<}yuh}0Ve3-XCWE0n9z3GI$SJs8Q z+EXMK(O%6a(8tQW`ru7Hd0|J;g_whvh~7OmZv0(?nz3O6`N}a2s`}lTs;xbIY(Z=~ zF~{r``g67Kr`V9^Vr!=IOeREXKfqqxQzEyto((_$)gd!SI>Mj4_#}!uyTwWG?JVqz zu$`>c_m3R$Pd7onQuGSwm9poIN|NWluB#QDT8Bkg+j!~oiy34lwgYt@kuQB|%WIpp zuX#X-@Q%*k_op5Vo^-a59v)BRD}_Ti%8pXrcu!nX3wbg0QvG+egZjDQLzesao@l+7 z{Ea>f-rM^{Qgk#xr?$SrY1`X5hrWVQbZ;ZG>LN{oh+~QOhN1rjo-2+MojG{d5TAUEt@2GqVBY61@;&(NIKcW# z0Da{C!_^MdmW8HJ_+h@8d3ZRuZij)*eZI$mc*~aO86~;tCDyUD_V~^2GtC8tJ$O?S zCMFQaRGQrNr@y%N_vZxd9d zhH+lJ9qGR5F80e@aP^xdF;>iRP>kg9W_LzDjC)SkT`}0-Ib%^4Nv!YJAd>t{4{yyC z9|i9Mww~?Iu7sxsi2-X0LymBK)p5%8D&wfRb>BeZ^{-R)VD;tS&okT^aNWWrb9GUQ z2X)4xzuNFLd(gc(pC&Tj||~@I@qi3axYtagj=fk&@~1KdX@gUkl!D~zL3{7 zgfls}7WB$70BM$WQNBF#mCPx<{V|0wCH@+WTn%66_x+x!I>c)DlX2fZbQU~V=9zjY z>pkELd_Ew6W-vYAvvn+ zSLjHNENFC#q^JIHw%|P}deovjhU|?nzYJjhbf~Z9gadNu&xZvbug1Wi%(}cs5ZN&p z1@F;V1{^dCqrJH1f0zb7BLCm5(X@f}zH@#QiD3WYe6!}%pjR@E)nZ{bas5go`yvCb z^W7(w+v@!SJf%N;+b>-T-B$LhPXg!@_k-?Knd0S40P&j<-q5Tpy zKUF1FbfY&_!zpS@>uLpkNcAbJaJhFnVW0etb0iaEB&Qw+UrLgp zwLVwoOpwlN(caWVZdN5m2@BV5uBH9X*2=}~HcsZ+-W?rjD?f*018FVu*0G0ToW=D^ z`NnwEs;2feQ6>Xa=Xi*3VnJG(=EJJMA2#hJNb=}S=6MPIFRh~y_^;?qm*5)?0w-TM zid9Fbui_cr(@`1RIp&`X@zMEt zX0YB%e{<3NY_FOWipI7S@RND^**@Gwd(BU!)AvJC7ubBCs{WIw#fE&JktgNrZ122C z?Vo%Kz9B$h5205kf#TQ)dS!(j?Q#cT-bV`j+nW2##A9s#vbo|Xcmw@S&fBJgh--Dd zPABO(v&>3#aOQFbJd*hMT1q_`}K&nuM>_c;u0#$Lk34V*Fqo zc2m8qhCSiif4wPqu;PR6(2@8UnH(LdIm6f(V*H`qlRL(5!0_HV7fCC)SY?$j;jP@? zgq~RTul%zc=L83VlY;0B=;S5HsrO?)X;2sy^#NgjBlLX+uslP4pZB@%{Ae_T;&BfY zY(99A{J5D9WRrZo#ugcpm)VK?*gEIp$NMsfVbKUU-_g-*C$2sI1{n?P%+C&x2ktU$J+Z^6(?zx8!1*L=QrmvhfJ; zF48$~2>+M|7v}Uzr#5`9+yf^Z=iepxEpKwbW@Vh}GQN?LgWQOGENt_b93B~H$(i)? zYkTqg6tsda&YY_`KAJB&8cfd+*Z)}PLdX7O5P404TJ?Dz_{lQ&9dx03Git4`Y&ll? zY7YCP(rZ6fA|Dyz>l`qSq&EV6ubk6ON8jrZ6xsIPkgR@K@RQjV@cT^gH?gL0MIMAX zE|2Qu65~zk!rvi0ePa-@3bO205>;beYn~M$zC11)KmTcu0lOWhLtkeQj`K}}r?Oo= zOZ&!fzR3H{CqTK4TP%ogDK`?`#Fub$j-B|x!W-q#`iE_;=KZgO@=)O8{+f#b4@N8Z za`kOvDF0Yv(JROx=eoY~`PKL_haRK8u~juQJ>+q^1M>IZL^tz`2w`WM2#TWRte1}sjr)PĩW$-N--?pO%^84Q-a02}$ z{{xCTpud1VzM*=SgWfyaAdd{ba%H?l&o*qeJjD3qZw^xE`YI_c2r*{Qyl{XKB6$JSBdww86Q{wT@ok!E$}@K^>) zq$lJ}7h)T4x38?}{E6;cMipfWU;7~P`@pjPvG};Vv&Do4gYoWSnw@5_=Nf8C)mF2$HWu2w|(5@MOJLo?4C}4qn`72A$%;}-}qZ& z-se8+nwaBSiDHfB6&M&TSi{TTlZwdJS_^9(IPE^w4`l zf9YTN+s> zwn4$eoShh@t)@R;$A#2a^IU9 zB0ieXdWjUlTw8p;>{pru{|@J+j(tM}Ri@5AC*gc zpg=;}xp#|CLA3b;7Zm0hcX|KU3iA{D{-dx50|v_txfdtYLGNCdrurUq89z31L$Bn# zh23c{Is=*CZ(zE<_x}pk9KddO_3s>rqn~(j^?QW$bG{pZdotJXdKVi-+*33HeMvAx zB*CA|=X&=NZ|ci0`kui$uT6B3-pXUQYY1QFe5G8?ecgAaNr;(u0cS(LZ-1uJen!)XP2ds%Dwyzc`@b*bWGNL%To`!gW%++)^Wl~XqAW@2>@dWS91t>*rY`x zk(1%VplhD03&$o=JI-sFt>oUq`AXI?uVa7Qko(Q6+%(wNR2}D}Jg-sE_jytG1)MDo ze(to;yp9>X3(n21vm=g|*Ky9#{f1>ny}$g3{51D_6-VnmV9{-(4DvYEQ^8N>Jlz0a z`hd5BFXkTRssG#u^Adv(dIrh8^mq8As`EMgFZhu8t7AXGM=5^X$3z(@hk~()5d)gVq}jn z7(NHt!zW)e0{{M;`u7_6>R|VraSC%De7hTmdK2&K{y0;jd7lBU>g&e5e-GT%vF*nZ z<3B4pJ8FJ?QlR!{HA7AwJs}T@^9*YS1i)7Os=s}m^ zYO1^}o)C9B-RhMWjYW*1Dfr2Y8{lL`z7kJk*_!$8%5A+HCq2nN?;<4E6_58Fum>Qk zJu-4Q&^+H>c_{y6(_>@Jy(7)RyI|jDEOKY4-5RqN{V!aI=2%nr3{K!%GT^}7MS0!F z(uJpg61?#ptjqUB&mZarw|vah9?`3j^m6W3dE@Sb*Opf6)NA;h9_08@=SXVI_OnYdlNyIG1kfb#=pqj#Py|0fF(#@nz7%KW2teP@-MggkEAW$haiJD} zzMQ9T6iyfNa53~D<+6SquD#C>ET!jT`Y$ocpYX>%xfTPFuNid#L*GLOs?1i&3(;hiP?x_p+QQzg-VA;>j zKI=k1K{m;ZuPHg|uR?MqC!09eMSZ@n(nYTb>YhqB<@_x+kSaR+)M=dd5`RW65%%#G zmg9+Q3+vBL*5|>+lZGT@1${Lpj#v&%K80R8;J4OS%O#eDzhKT81-ZXnyFoM%;C}0T z@RZnqRAi;k&3g1jxuD5#m-=WBU@#=_f%8WA>PJG9A9WG=eeAt!KDMCdY@ED>=Y{pv zKIl=0yf=3(d|=Ea3h79nmY*0q2D~)swObcMGVWKuW4u94z1O=)5^nc>U+I%{TMnHF z-@g%`w-~auQOM(kk>-oy0y_dO<(If5Q9(+{a{(iuuKBK2G=@mdXog5u;ph%rC4r z)NFdq$m44?^h&XPWq{MhdXlBL>cjAlEknL+**5egp^oK66>H`AV81$k9+E&69Cg11 zeIN9?@mn4QDL?LTp27a~6X1=@J!`NB#p4zPgke6fT6!gh+p`R=mUJUau*74QGjz|G_0^lR|JN}+49AwA@sYtUH6 zihgI-`Cx*N`gYNm1b1?`SHHRt-UiEt_pV9U>U`JUC6_({7jmJki|#vqPbYr7Gr(`> zYi?*#v7z|%Oq#>SuoID@>$SRxKK51RuWj#_EWF>JD|m_?Q>|wlNzWSg$$VXTelLeA zaNZ{s`ab8zE_o8CDEvkx5p&=Ei?vdYA^c;^&3qF9KaA{QZyKM$2fI`reoNMux`GG9 zhI#nbg|9H)f&?ql!cBVvBJHTD<>=A1s^uuJ`QHwu`E~e1F(zazi&kH0HTcIE$Zd|) zK8bIAsp!D_*xvneq+j?K_$?XlR=rIS4Q2mTP!^d{2atF^RCL9!60<3azqrGrr5B|f z{K=Aw9BI~m!s#aY`JIMm>wK{Eo*{Dq{K-5=4C#_V^BJ)Gt0(dG{8?;(>`iN8-sgJ0 zHr=pKX5iEu^ibjc=eo#2_pshkB(>51#n6+F?C>ry8glR=EkQXsSK%K+f8Hw0|B|a| zY*PN*F((3aqrx-nOPm5JY<*Sti~V70F!Z^(eI z@{YQn2?Or}|JWVu$Dq3W8?iIb;Qir9@cOv7%7pzGb3pIndEvS979v41#Pc|3~Pa?K2_FQU3SGIOPe+kbE=M8=E@3j|jTE4+OPoXu?Lxk&03;z)1 zokHKgyqGs2@Q?9*YLHv$d)$sj!Uod0W{&dHK6fDLUBP}#{61^Z|IGoPn|BOsxtsUI zynhfJ%9G%Y%X8T`hYq9O@)Pm{JpYxn4x)LmhgThnd7lf;Plf7U7Cx72A7SVo8ckD} zzmn`HJ{_0Q=q2O9YnDklIoOX$JhfVp!LNy9aki@Ox@D+u1zkvn}G7q$Lp@W;dt zfq7s0CEj{WbVw3L3T~s38lcbcrFf z6+F%CkVRPny18mF*JcyueXc3ky*Ws^cummj&3n9*5(60Y(QTTzQX78n`Jf*eFSt{d z7GqqQbhaE z5WWHCeU_*G{we_8jg7%s@$H*&zxx#3uUv@ zg%ehn>hpR`*=(hAd2gIAsLk69Ux4tepWIYmL0kA^7@sgU zMCT&-lZ98k(1JiADzj*&8#O}BbkQN?_t_xS9Xbf-nZNExiC6K(9v(?--`)9lwD!uk zKwlDbb-}qg$A%2>V6m3VjvkpKeX0L>qpyh#HiLr1Z`M2!`U~q?pF@SGQGP0T)onr4 zSQ1S=`69pBPtUvc$br6vP>1{o=WIg3@t40xznJzN+Un<8Q$snB^bHs<%vq6Uz+2E4pxTvz~dJN(Jwn})tGeaAz*RbRbXVu=5tldJlICtIt( z825Ru5qQ=I{TvJcUJ*zwQ?Cq}iTAj0VyfgB_B7 zXo*{{yt+-hQ9Zz43ggA2cN)) zVjsmO@RM0L{nJJ`?L&%_^`7kMsGO=@Q3T3Yx7tl(^}W!u(5T3Z?p+Dm*N%C=4ldls z;7|UAdEtpTCm7u701hJ;y`2mZzun+riJD(P|Fv*29l~XPJMBT*(+r-n=y4w`^**&J zM)vHT;0xNu``fM84B-_(-#=i7pepz-!Zn}hExl@X2TRod?c}O`0u?Kg&B4QKb_9$Q zTgsvFj&ybpei0{1_hayBJ@Dll?M3Tp;~eGy zfI{w~FKGztDtnW)zoh*j^^@O8(wsx{vid&5&oA$*!)Ep2w!3LC$GStfS>CI5$3qC> za<6}`1Q5r@Q(jnTpX~)VdRmc*PWHq-0vqOIe+^k+eOyOs*#if_o=EM-nGz%YG)1I3L_Yb3%oQr`^UwAs` zli?h|&Xazs4{pQzf%BXjO|r+&PQv-}8#l8ckNlsQ$*&i>N>>&Kzan=}!8OX1sJ_oo29 zr;JZfpH)NjzcAPKxRcIrQ6ZGbfR-BY!*Gt+B9(S?4-W2QXampw^2yMClr8Av;G&9P zOUT^sBDuQp#bdAijv4gPFwk zuzzhFHGdHqsQmweAkDLNyJ?6JhWTZ6V*uE}x5PRts%FnLV(draz%)Xdc5{2=$nv@P z40&YXFwXU&_25wzVBTL3_kH2@V7<5GxKnQ6(?9!9jH66oO*(^f%3OebgR_ZkA_;EA zhH$4&*i$@$k44B=a$M7|*js#pL*0Xw*YD&)z8oZbS%dhvX$pQaUxSw&bQXR2Z|voS z?^BpU3j{z^Y=}MU=S+GHOsDM<^qL_rv>19NTxHwL^^-NXaT~d64zQMs6CeDjP%|MW zIK{sR_Z%mj;LugOap|c(Il2X@)nBr(1}d*B@afmgnA|$v0Tv?u8tW z_y9VF5ZAp&ulJ|FfyF!EXCYkmf#4}|ug7zN zem}1#w+-RfL*HM(^9JU9&Nc3XzRw)hiGODk*XWFD8Kn8J!C8_Qt-U9dwqfB|AM^et z9(2Kj6~E;uKgk=}4?&+B=NHGBh_7$uz*Ug`-OWV?$Cxhq*%E(!%Q$D~+`ivadSVYC z&l3SWmJ59QT%Qx$0R5HRe~I&0IDB)!Sz`W*M--u@q05R_F*FO9j^)z}jY+F$`HwLP z`W`s#ul<*p|HZe{2)%af?>ps0g4v4=(f(3AFa5b*<86xeVj;gTzW>h#NgqA(Zadv@ zVNbUteouZ^D~1>^+`Vb(9QWH*gX@Spr_Y>GojeMmubC(Oi8|OvVOn2cuf1DeqKF~SfXyZL`0siEj zu<1G36dQ7{_p>J~wKkb{Wa}Jw+*^5lEs$g5xf9RJ76w-RR)ZL86@Y$8;eVb*@3aI2 z(naron3p2l1(-Kv zP`jgf+3}HdAQlb*8)3Fa5Q_g$83K?cx*k z`;g}^ec2J1_d$0}y@I)!?f7kxM;88cHhzD&7LIR`NNhv8f%8Rd`~NekUWoj@?8E^uNaWn&GuNo7$XlokwWvp+l2~z)XOK;s9mU(A<00-gM#;(c- z$h4+V-ji1xr<~LJj?$CY1M|LcmMaGnU}~_G-!yh&58tJiNjdO29<%|VNZ(QLjq$$w zR2oIFQDp+27k+TiC+^6gKlCI2$(*>bbc#ZYtfdH;nhl#31FlPeop8Fa-YukCIfb&B`(3l_PGc@7uD6VA7idSFX$ueTVMXK zv+RoxBVQ@`TKp_ z{8u?l`rxY1&({0~`j>9aGZJHYvZi@mE|EsA7?fC;m1VfQ`Al+(d*z(mi<{9(tBlz z=Bcm!gMBjl;j&`LpKs82C z0{ieWCyjnUa5KFuIQaaaFZB>#N7vQy#8{CIU%aG0xQ{uVhO)uLZiN1GSKLYRr$uq9 zlf8@!GyHH#2S-b zqz`-z_{ofe>e?e$d8|WSgoj%m`AYUTjRjAsiUgXA4Xy)j_99bzBmO|Y81|YyA7>Hl zmglBJ-%sWNzcIL#Y@k41jOXJEYt71qFP}?D8xBc;p1|?+unL3dC|>}!B~g9O5q(vb z1`PY3<3Q{O`CdO_1$ZzL^v*Y!?-@?Y0|NBh+>}r8 zgT3;0Q^40?&{dC)^oV;qaUTB3#ZKtS5`C=NUE@v&z|@a1@3Y>z*O$acJ~M~VTKTvh z{@n7t!u*0-mq&w_WvM^0f0*)mc4n&&_+2#pih9!S55c=Y-EuJWeVGpnP10+92>%@S zZo3>WGNiBMv~6iVCPV#e&26n z(Obm4>b)gK6z8vO;2&d~QkJ#uk3VEeAC{M^qxODJ2_$S=R{ZiAoHr@_xv9B-ACulw z;2+ys(yMzR{9~Kgzzn~o=F1;zh)%c}IYGu-#0B{%*I*O!VnHCvUs=;LFb^7|I!s4{~m%7N=s(lQ|p z{$$3h#laWIbaOy)dlr*~J0si+yWBP=zKB zU*twC6a3o>J?i{k0Ix5GL1ZmDN{_&+lt`Mx0TAr7Se?3+QfT-v_+w+F<|I9RX&dtq zu}@}P+t9jZ`h^!;{z2+%8@Ik+|W(<5Ll*~3_c9% zgD=esz`czR)`xeEvp@ejeZSjZ%@rj>1=ua`QOa2e{GvRXAF%fS2 z54?^#(TUKFLEe~O7C;{KgI>wp+gX35P%7u3;TL0ER%IjC9&owJNOLe-KATqO`_qCV$wI-JsL-+xLzMsTKr~2THL&l$d zB2)W3!B2mTwEiy4`|bFz+d;%@sYXBK8N#7zYto(~%r8DXi2jJ@gb!TIFB37Zoi%~m z55MVW==%@(J-o(?`tV%PKb;OtLlM>OVBs$|%5^8yivD|e2Kwz82)H(akOuhotP^~& zd=6z48&&J05qht^o&#&LiS0L^4tcBI0$&@bj5VKwYr)vUv{N;t=XDn5eHS)l|K?0w z?`$^~yz$;kvzlH_A&%?yH-S5Yx>+-LYjSR9MUo%lPE&Vg5!+gu+oR8dIYoCpgbNc@ zK2G{zzZ!<`Ic(}P&*o@3i;GcX8#OX(Y% z5Ut$fzi%5MypYDvF@^_WM_+n__dzGm9O=LNy1bc$d*1~<59FrL`{Ulu56JOQ;=1cH zY1#Da*RYHZGz3>4``Zg5^mCW$Roq8kAeH1a$85h&(H58%=^+4f7p{e z*mwqhviP~iIH<2Z&PMa1=wCmI>%1fGX?ROpeB&CWxu9n;s@GI6FvfGQ9(a94oM+zS zFTFu)k`jpBw-Yh%%ku}lQs(!>5c-?B0r2ySUj_GV=4j^qiJlnNt-lz`r`l&Cyq(^f z##s_$q_$z+XRh{>X81k8Mi_eLs=r>!m^1TZ8MESW|xrlD#JQ=Gh5law(WW z>c{ZB;Cf+7NLSzCjT92wXlAj&e6iazGik{xEc)=i=Gu>iyU}L=Ov{7X=yhQr3HZ^o1~x56)QPs&N{>s-zN`aZWb&J z_y>%c_=5SHUz@?bLxj)#?4-Z?piCBoQ)R$~0dA_RFSetZZP83p2mB_^594_e|Fd%> zNw3JpXnkKyC^Y2#ihJ7mGT02d`3hGn(;xmXaE9C*%<5-y4eeTiD z_f+4-+5qk21-G7YWRufvh}RX>4ki<)57+(fK*_j0tQ{CdT!-vY9{rWf<4-D(`%5+O z#)KaO-$Oai_m*eT$F~mnC}+&gTxWd){m4&l!B{mXL^#9w?Gv?U5IiNuF;Dsre008u zG$i$1+&5968;Ez{!ScGY2JW#F(A%5unnhKm`24EDeAgbB_qjg#(b6EQ!wajP-m0ta zD=`i;J`#R@=4X!{i@X@`ft!sZ#tP=tbtLI2!F~*H<>M1-f$NPN?I!eLJF}73*Ce@L z@97@Ia@~gnJSP|cJN<=upY>hjktGMUC|+}RkG+V;f@#U%Omg1}{K?Yiw%?t^XK*Qw zra^vraVSFgv;p@?4HTlTEOr+#34In?77FSJKimSo^B{T?iPS zLBY>!5Zkcr+U8OY2gmGP2yTMlrgPItE~p<;XbQ01?W-0Wps{$gJ&pGR^YNkYGyc%+ zS{8wBKlu8O$;uP6@g&9-__m3Y-Wt1!ntz%62steL`#Zp&lYR0NPvI`UosmTCIna9C zinz9Zktv>1U<1866Me{P$TsTZ$A18QAF<7g5o1buN<9LI?X_cykr!kC<}^2Ic6`FR zA@C;)e4&&5?Q_56bn3=*1RXi}M}r;XM^e@4=0l13pYYUc`;hQT}@_ z`u{utVuY>$w?NOB=~@?wn9gI|&N zER|Mfm-eL>>3(62E!E*7+zAru^|-telhp>%(PK%{UiA8_@J!n zsON(zide_#i#+n%O#n8#-!Z&Ut6l~EeU=T5KJ}+bec|K*Unz*c=Oat^UUlKyfd0K` zJNk35_o?fdNGsULR0I4U#ywRFS6!wnUh}+XtPrmIUi7{4INo9|es9>mrh8?n59{_7 zLw?WDae-4D=CLk_K-;K2A<0|&2ydhR1$f)B^;|{Yi&l);rsh z14;IVuEDYgyZKL^A>Zo+6G?7tllDDi&W66vV9@W=b#J*IybIpjpzl@uBUP0fux3uW ze(sG%=>GhcI~|0c`U!bt`MkhAk>0pv+0+;MV%sK<3}C-{yM0xI82h*H4en{|Z|&lv zT$1U*^uGw4%wt_>H)?cW_o*rKOalDL!VxyXhlz3M*F)*rE8~z#ONAd@Y+y~1{&kgc z%FFycQhY~#@8IW$z2Y%^lpN1Bwa0V7JXJsB_t~es9ljRsok2e`<9TD|Cu<%8{4vH> zC7(cF5`$tZl+|8Oyf08g+Ni-E_!gyr=cd8)Rzh!_Hw>Oa-bs8s>jN~mTWCR$5n$YQ zqXIUT!#Bq~^NYbYlA4%LYP;G2XDKG!7F_+2@Cc(RA>8td4{0#?PaDjO050d+SGxd#wfChwH8OJwV?p zgDp>IE0?-Tks;^nHCqDJW5voH8I-|3L*$W#3*Tgz>=CVSzAz@B>Ma{`nYP<|csclo znfKJgv2_0vCBAFR*0I8Mej5p{E&I1lBoMb)|6~Eq6zaAP97&*ZYzV{mPV~u+&ctyL z2h97zog9%!6ChW_)JxSoWUX-3&$^KA>)x9vjsxnk;E$mn;cN7ZabEL}?*Fe>%A6CI zrM%OGAoVG=zZ3F4EGQn;WBuA+`Dxu6@31~-<+R}{ul89=9E4!2fWk=;FnJRERcY2 z$#~aQ)6vI=Ua7ypgYCp|RPf~`XPBQ&vzh<6^pPRF`@|Y_4mf~|m|M@V-vj>S3H<&! zAFT5>=6&hkURqP$V@GD^DyLwV3xRqvG5kro_)hu_O(kAuU+w?M;M(x<-Np$={M|p` z4)Y-M^?2EHPJ*sB6*ZJGo}RQAb;DO;pE;PV z@w~XAux*c>`0CH2k5BR#FFUBN)Es&d2e39H-z7QJLZbupq3l(WR0Y@eKfCw}SLr6^ zefH5VstLX(`dWAO2j>ShX9WM4IIw3h!j87{}RAqY6`_U z*QC0M34549e3IWYq@TspR=G}?U)Xn4_qZov+j71S^h)XDi$~vULlAHW+Q|N|_ts?P zM&^|Al^?|>v|ML`iKjdTHmz={#L!XnwCgSyR%G=7G!nH8TiU}f26s(Zt?LGl z%dYVAi%%2husm1Dp-7)-s}e){F^+a2+1sD2K<8_h*j9O+so$@+4$7}+AE-vytm$OFW=i)$ScA0(&xJyxL5Mr z)&crH=f@km=$vU)lh|gstwApB42RM3khA2NU&80<#)d=uKFdj90sds(L+{E|{!nJ5 z=s_(`Wf8v)7q&=NefhbE^lH`nCQhFBA53OqKcEkIO1!qc9F$CzStx*y9c}Fg3PO`) z{u!~#ijaOh66Y2#K2HzahZ5&}0~9Fkv-ltml`&Ht4tO|+kS$;6U-{EX=1R}9kU6w@ zdpBCe#Xfjmc<(v6Wsdk39^-lGiP!yw26!%5K0Y0-oTbt5kGTd5G4 zIm9u#$}P=S{b zy?Ykieja=Ns1rq?rEY3z6-!8CfYel|e!;N`w1&CznD?vW@pXb;$*nV8;ZK%*EBeLQ zm#{1=gg72h>AOVQ0L)(;^0UW37!&{Z%0!F0W8+?tw14Q7iQ0Y6IGt;@R3D5HBRX|K z=PdduoeP?-NdJ_k%Stzb~ZnIOX3W zFUq}f<0So&3v&v71pm6HfSigA&Sy10Z?Arn zgYaXp5Av}$alLM{UctocaEs0^+5=O*Ch_|E;P<)88NTIA{J5op*H^_G&WzV7l*C+- zD#-7Hul!+uCW-EriylCh-_Jw$<{p9{lF5$sv=ZzyFxQlCfc!qQ=T+EcIZEiVv@8k_*X0SMS0^s7WTe)C2}+3EBXGW!8rS=wZQ8`9BS~; z5WRQX1`x(g0Ld*#daOpd={$bMPR`F{=#`?Y{?|eCU9C%X{I}7>wwcvlcZ@2)I=$H( zNy5#KLVqRliyo;tx~~s0Ypx|Mh#avW{38oG6AMBW!ieM7_vc`KVL2N8FF)Xz7`g&{ zO8{95*Om6vtThp1!A?$xuSN>Q?itFxwbfqEv(_ciS+52K^ZRWX8UQ-|!dyV!0Iw`uRe~ zaOW4x7bo2}FAJeX&{4hJ5-A)-NZqW_SHc0mO5s!!^}OFXkn&oQ=RbxRa{3A6_gR?6 zJ@$8Oh3oc5enUXg*Nv}G^H*kmmU7OZ@5_53)SF~1m|bFI^n|0kwksJ7P?>72_r*Tr zNa7|f9Etm4-v$M0k5B7h;c(6Q=BCjST%r6}_{V@v3!Uwu{Po;4?FFlh_c$BSmLN9* zmvqYJc#>K&B`lpF+zDMr`_ot*5CyXFdwkqfIRYQ;QnudhqZ@w^M%ER z>VL?!0Dlto5Ij=;J+$y4uJx#u7EFV)Pu;%&KEH5$!Ba{DVB@!8xspE_*vCbC%va)n zmw~q5f=|V~pp(T0D9!zC|Cg!y)1gSo+ueH!J}4GKl}05~pYN{x-nKub&cKKDo8D{Ss|vl`lqUa|#q`{Kv-);($7QTH~(B6SZt z482_NO+UMA9tlWbA;OXML?H8CxFR=b-iqDtV z#zup1y_dP8UksQ&1AVX3`?TFsa&+h5PqqWD;870@+f0lR>pARr(TEE|wcKw!H!*fsXvyT;yPH}(>H11mzD4b~MlUu-!w_@!L`2oI^O8?BC^``Lv-DBMLqN;2h{s`U$2j|bR=hU`gOXVIyxaPU7d$^Gs{sS(6D>jvQd@ZNQ$mk;qZw|Gn(;WKt= z%wcema6#`1zYUKw%hx0m*GbL+e~d9Eepix+<=q*LipqI<6?tsgvtP#lPQZ(K247oR z2U+#`ToobyXAkU?#NQKatGRvflf}P3umYU|R_ODVY=TN>Grq4YUFL$Uu_oaPgzbnW zu2mgT>!uOTLFFpZsyDt1Ahvgw*a1#Ca$*0xu+m@LYp^|xX26a-<1aJSXJg#NNa~1M zLmT{kOTSU`So(@07du6f9>^cDZLmzw+u8>L{up0-#*EES zp16ZA1#Q3LRPq`8{E#hk#yQibu^5c@I1oPu2aduw!E*6BXX({l(;`~;`K5+Y`;5Ql zH691um5tTb1p14O^@oCpd2OB(k+%fia|m=l$oQW-Uu{ENJNju<1Wm%%KFcLhxvjWA z@G+3~HcEXTwz!Y6Um5euGUjJ?uvMOx3;Hwg=Qxk~Me;sXE*KTD2HXj~lHF2foWsID ztmLOWJ8Xg#P_JDeU9Jye~XH1AKnw^1TcrEIYAM$~D3{c-t5IMbN<} zgQvtjA?J`o=Ihbk@o5D4JJliHo1znt+#U@-JMRy`AA5`S%e_A7$_ED@MtXt9d(jvC znBOmeKa2SZ_-=Bq)fV(tltzsG*JJk#>F-Lwehm1NUhwrcx5MHy#9#9>OT+bhkMl)* zSUsJn7wmYKI_1!@Zmq`r4F4E^wmOYUCzd<1(a-KE1Jzw)0}MBRVxP?QCIc`hW9xRN z^ffabgT60(il+nB$AtMsdXPuO2q!2Rd1T%neVYPbXrqK(E>ofir{LaY zm|s{n*?S=0;Mm#%_>&iK&Ii14*%zGm(S9+Um&K(B!dbp^5or#}=h~aBz9sOK`1)dM z5KVsoKy(5;CC=&gH(xbIziA1-lrxfnzE{*q zOl_E`{Swbph-)iT@xIjK;GP{3W2asmjG})%@E4O}OR)dhooy4VKaZBk0bOR`{zW6+ z`(XF$@YMmP?q)kWO#Nwf{FHN7`HgYd9)#Ab9whVhe`zUeXo2i90@q1vkv&^_XGT7(eF>%3D@mFpLj|Gj{Gk4m&N=Gbjp?avD%{jPEOIfzr|ud+6%hyu zADk_HnlD?UCyWO(KYd@~;>}cwfdtP761#Id!mpRbxm>(2qu2*z2_(ka1mOE1@vP}l z)GzO1X(Po#jIrIkE8i%J_NTuw?@MoPa0XUxVH2xEuav#*EcA=9-v{%)@O&mZ&{M{I z{h6#h;4{v|GE)wCa&46l@QXc_Ko8=i1q@*fgq)#}LgFnn!_NnFST0J@kimTwL&^ zH_hh-UvxSxV#7kQ0W|h^1adY*uVkO+i8vCzdcjZ%h8*mkfS;fI0}BirUbx#-6kpu8 z&?`Y(@$UJJzxE^fg8Rq6&H(p9KZ%p{KI9@_DSdjy-RaMgFzU=iuNl{SflmeO1rqZ2 z435d~!}}sRqTi8M1b#B@I`myGB4#WiJL}JvZW@v+ zx@scnlb#+xd>q7CFlWI|6^wm@^sS|b5wDT{#&aS2jYg5u)BV?6%q6I2`TJxH1uz(V z2lAD;kJjIVISa4B{{48~a4*b&UWs)m1ebgR)U;Y2a~$bC*5{=sW)SCz+7CbPL$j>EEU5zNEq+{rNQ^S_GVqE%biDG|sZ6 z{ro(j2ZX;n=X}g`r5z9O7mWU>)4Md^tej5FFTztu_ak1T9Ix@#Xv9AI8f|GS;=_lA z*wZcM(gor^kNPy%9xm#~8xtz`iul&y$_e=Iitue;XM?B2L5PLk`uiRQKMe0#8sIz5 zgZCP5IiH7bi>I6ENZyw7Bdj0V|2GC)BkohJHbDDKkVoFmMMO{HD2cx}&2b+?om@A} zpB&TQ=zq^(dGbupisG9%2fb2&8h!oMe++)I^c-in>w9i?qDQE;9UGIQ`b=UWxBo&q z^@gkV5&BjCFc@cC5Yf@u-FqIeJj;-o(>ph8IACF!Yj7RO)UM%z=!*RRD**%n0xqhWPzV#Ef)|RuuuZ`$s+$EewMwC>RVZ#K_9qK zp`NewLBA{;qCInqowcufg98C~)G^5}g$^^&^=Ih&v+{-qPmfmLtjjQ+@1N%xoOhVC zH$lG}4#C2`ZwUsU+Al*}TKwlDb zJ)rk9uC~z*TY7d8MOAZRX&VZF?D4*EK73-q1!DrfBjNatRObuTyu!TLFMg^+Aipnj z^idD(ckFLZF(|H?kNX&pBQwgm&@9d&f~Ul)L8I4U+Pe^yt37|==r`aG4fIO>-k<56 zMvR+oHa3lhvvDHTn{LB)KWSXN_JM$RaR({sW6)npu>SEF=K|Kgzl`+~eS7z;IGWCW z(j*fxCaCz|7K#vq?LC9*hTo5`D1OH?70?U829R0)#P-r_`*E*h!{a=6<#8@^BBb3` z-I|p{?K$vu65JRzwAv3R-WMJW0dHIu&IJZs8r~QEvec(hHku@tQf&nB=Q8{EWc5J= zgY$}>VY4-k*p`!g(@KF5m?k5S%(33jJCe!kJ_-k1!0Y3`sB1}t*YIHXszr&hW9Qby zOMlz&qgK_SDA%};<9|szoHwkOU|tn|;cvm}vvRjpu3(I(@V)K6fNzQCp`sgj7t9Ms z{zdl9ktWS2o{OOrF~D6ns&HWZPwW90)Z8P0dLp0@9hFT@v6vW%`9*q*;7?}Wc*`ua z?yri0*T;W(!; zJfkx};1v@R^!~UdhFTkuTIweE_&E_Bfee~0TiZ}rlB zA>J3^_g#fQ83DDY{h%Yu;P- zU2hxxOWo_ZyDRu(u&EV8zEb*2Py6WJXGE}`4>J&O2xvKe_~$!jM?kcq$V&?|rE zo>BOd83#}S`o3T*-y0-&J@kulA7nk`k^8gnvH^MxfUla{$V?GZWOl(QkNEU7%=??S zfn0)|P%&P>!w-W0?5u zx|X3Opg^1mb*Q`OhEo{u{_9 z= zFfQBpQvzB$h8xH=vk}V0oiHZ6h_2!!J?%5<=IGBY*G+oZ%Vl6c1{?JN=)XD4uLqZz zQ%{38WYSaS=}tiY3jCPuN6i!qQ1zuI$-3W#zRxujuWQFCS2oT{jFE143VT}qE(}Pf zyUYVdexG?f3qz9#*#3D-mfA@kb0G4S@*Iq{lEfj_UNP7g(bTb!*VjElxCZ^cL!Yn! z!@yHw!;H5lJ?h-}Ypwa^H8*5rYpx3K3-8_H(d)|nI*+f%5Z1x?6WlUHAB0{hKD^)n z&CL$Xmj2$#f#`Wc>~4LZFyel`Ye{D9U->vtaaZblbReCX@Tlat zaaLk{_QSbR1lY-~B4&&F@>kzBO7H+P+)=qXF&SiK(8*IDa%HZ>reNB_eGb?sYtNX2 z_C=jarmyhR-9G0`Xt6vs6TES*JIVP5{bI5|xMob_THNde;@a$Wr-HPH9s6X-LH``3 ze8d0R=$t$`LikzLJ0g$FoW?IH+S^oQkn%yQk#d0wqUZ(p4(znm{;ywRg~#`~1I`on zQM9~du-$b1G&3<4>=68xlK&p$N0<2pdicgrUtn9Aw^P>HQx)X@4;on{*VEQ6$_qmO zi};Oy2q(nyaFfV0O38jYN}s2(-r6e^pCc5&>U@#B0e36Q>r}_PgMc(U3 zSAW9SYOZ%wxcchBALBejgJ36_(`I?+&_~!JUNuL5B|t`ZHm4J?EN|K%UkUpnl4SP` zu1)uaUyj!}uXme7FD`k{ObPQn`>nybae(uZ;3rG|5qc%Z`szWijO0J zJu+Kzwcl*8k{bgAt?=EVxPCb1S}O;FxS3%3`2%d1x-cy%O@8gLHmlvQ{J zQ~rt~#uqxQv#1|2DBoZg$%pNZ@;#qE9eO3WZ`I2b@{?Z%Q#{A!aPJbo?GXp{?;&5= zoB_w>kw@e`ct$jVaurgh#xRn8jPPp)??FexpIi~2)fG>IG*5^AB*}+i4v-%98g9hx zx%W0kPz&^Gbq`OZF(}5n1zuLo7yi!Wst%&{sQb-yB@+IhJ^GWF-+9oMK;zjz9rKIa z*ZP{N($kS}FkdvfV)6NUVPU>@6MU&$fH2)peKg1;?_r>0aqPz+j~w4_FM7-2#4O!g zm|TPxHfKpF@!J1p*Km^c?!zm_!)5O#Y)FeD4<1}F*XPXMo)rn-81JP|^-Nc;HMq)H z+LqmW5cxvna?jSo9y<}iwDIXQg#&r@2WWpZ{K>e*PwVjx-)|m_;Zwg0S*|{Gu_$@b z3JkXW*!>LsrAU~^p)c?+@w{O6SAAt6dYn+N+Q;m!_vaN(!reIiYYuHm$KnclC3B~K zev~fvg;eA#rS@s=J!1wJq}KvJ3bNW0=#{*e-Upu21q36@{gzA+0e=rNd^G=zz9g3E z*BuAv1??Xv%jD2%a9)bxKF%?VxQf1V?tD3kelf@c^EwqJu4{?g37%A3{C?{>D~%tp zbNS^-c?RdkH}%FGG_IFzQ{>M%_q!N^9NNBE^GD8+3LqlbEPxf z=Z$kj@|o*mg;O=;?G5>L|0xqqkI|OA_H}@8l7d%(cL9I)$JbW6#r(qG!}R<=WTp!b zu^1U2DZOt`cBAKz3m>bYHyHKiS3d?y{_w#UD@ooF`Kx}=A;(I?MI{#agKX#=>B0b_f%*zy=bKXP| zsJu#vwxS7~yJ0c{E4)iHm zaa3hL<>_>MV+da)$b*C*S;Ss);V&*{>N!-zg2 zTm-~t&(ZGQRG$s2ggr9smnYKFs2KwwhIq?dkFH#;%hLu ztM7D-6S2Hfv?KiXWkAd=U8wJ`ODAqC`w#m@mP^WgQ()kFcIPGhmTwV{JGcV8KCD^I zm(9du;<2BTwa@H}xANv)MO`I+QD9z1n!{pJXDOJQ(Rzb#gsq#rpbMsutofx=hl)8^`XlE3Irv=HtCgtF6?nhg zE;$ePFZr$%81(({@aF!Q_eD={g8V-Cx;v`GO0FQefth~bd%$1kMNe8Bhx-^(#A}C# zsjgMaPv@U~Zw%p*FYur+T!U*>v8M(Axir6%N#Ag=w+i;-ut7cO8A@nDXm$NjnEu}z zR}AUt^@!3vtPl8O%#lamE9Z`;k4e+#AjVtfWjFLAi;lgqH;uz$^7l62_wxXGIb8RS zneba;K)N>x{asv$vsd}aW-klzmNXDO#ys}MuBkx0PAb2;upb$EknFfO5>u)q-8;M7cF{L)yniRJ;n^4(s& zk2P$NOpVwdc-vdKsNg3vZlYVPl{khFgLxk@OWV%Fa1-e8)WN! zsS@-T=IMHxRFBvcqdeP;8|sI_99D*Za7_Y)FS@T=Hf=+EEU5wV(6GbJa0Bmxxo%-* z%4B0n?m%h=RekRui|&v5#?W8PxeE;x-g-bkD=~(^l7W3F`zbM3qFs_F3?mV>Zh!T3 zl>T#bmkiA@qBjaD@1+IM_s8(h8Ge4LDemo{J##D3XTU!o=$KG@W`1Z1elmKPE`dKL zc7PezjXlrWC(OtDBD}$sLE=B_jC~pR4Aia(ogQPgM{XP9t-}uF?Kppb1%0o~^M3F+ zg&t3u`*(5hUxlY@L(1m>KUsWS;PnZg)-_gg2KSo5Z;7~L?ZxK}9!ExGn^oVO7ACsl zZR9JH*q(dnAxRECP!Q(L3h;EPjyWjz?!OzdWHJ@}^I|+`xSB2bT^docM z&;an0-8lGsW~k;{{BS>D-rnN^>Envdub@2@nD?dTqLe=gZrvlCc&(oLqr1+VZ!5|_ zZvl7|^1R=2)7;;xtYpQ7;Pf1#r*NGnHa-#yLGbmB|i5S zUc?-iIO4JJO{SIBj=MhS&r8{aR-zBl@Fz>p4gCDZEo=aw?_(I ztM&=h%rnZt7J0G?<{&P52#6qe7WO=#zdS7W>y+0v%6$&wRpP|P_2-?CVDB!S_B<+_{3t1!Rt z_hf~m+*_{?N1r(7X5c#&EDCr^aU2jbBQM6e-PH~x@7HPYVL0ame==Iax^Da>TDi6G zkC`Npe_gnF|AEJEa~B(~6G6(KM85^>UGJ@4;08{`La2zF{yof%5PpUa@|D63fInIM z-{?z1dhT4un&=a6H@SWnygyJuYfao{tLH^ZEO8BO8!zO5BmjQFV41;fx>^0kE5e9t zb)B;Oh+DcBJH9op0+amVjRz^m#$Gtdj@{A!!htGZ7tOOkuSB}on%6X3eP|`~jG7!I z83JA)3wu-1FNO>9F6jG<_eJ(}s+msG537z0sCJL`oyHu>=8&*eLFz+ z$%nj%u{rf_#nJnG6pvOh5eNT2gLCyq0D~j%8D)Dqz=~W^eAUbEqt}PIn!*0cYlJ^p zczQwZ>YI#q5`8;N>X3` zeLLm;!QZfg^Kj5P{Uh^{0J>tZZnh5d{$zgOvT*-qLE!gb%||rC{^r`>8%|g}l{40` z0`cDF`2_G`%3A+CIoOqeec22h3rTzuXZ(!eg{Te}NtD z&LQw&cu>g3o)fi&o#4Y|T->UVNZ}}Kz`XB-y5msrX2e&1CQvygSFGA=aXyN;j>!f* zCF$2JdfQkM0zrJMqvlQEPiCIh$Ev<0TvfXe^{Z#WC&tF5qYnD~zQ8?~KUA3aj{)0~ zJ2_f;xz&d$fAGmQqbOp4+4B?V)@K;@kVj@-UEJ>px|bdlrFx{Zn{Y^;!Jo{&l8&*7 zw2gh0HB*VPG+$~BA`b?@w@1u{=MbksB=zOfZACvW0e>?0#~$hjy^=xmTakZZZaDTJ zn2zcl+YqMtg{9yrU4AgcIr*)@JS*tG+kgOY`na;^-~cREL>}F-X;pSP0YsNM!{E+y@PBjjl*hkohOtTZzZ}um%3q zls{Z+!s!+V%M#pa8uxpR$NU1f#@7)!>W^OQF8QwMcEj~~?2$^ajp1Mf4|XLc@|szi zhkIp`-1V;xBM55MG>=8tC-b7u(?^~Yvqk&F%U!oBC%IY<@!BDEV=}F90nix!WKc>T zUk5)~^pqM!iQVbn9E~Tmer$Q1i~dT!H@oH;qVIZJ)vq-xLVbTlLiD_du%#jl$QtRX zy>@-jFUIF$dbaWn27#x<0j;SfGV>Y~y$ql(;v#$95Wd}U6Ma4a;!%2la(1Ct*29JR zj}R+KZfQsu)y3!L^#u3~nd9maDgD*M!G~cT^$vKMryM~_84*ZaU+k9OFHOl%~N4yIeMi#fM&*1S%XgZ3)H_bqd5 zva@n88b?z<4nE$ACFYK;y$PNYrsVXX1o?fpnjS<&xEL}jLHMl)OGVKV23GEABmG`O zVycEZdE_!*)Doxw1&<2>M#!)%Efo(?1g{uV{RtZ;^6+ z#1w|_Fz?IfvCkEQ{U+bEj-s0UAouj9`Gfk_y4NC2dzwb3Nq+Vl%rA`@&=wajIopXH@~nhD^oBA&hX&QR6)e89Ql{c^d2Lf-}Y#L-@FfFsZR z82i%x+Go@pe16WKeRWf=YE>sSO=D@Fc6JvLGBQM5vL}!OV??$~&^^@7;#)3;ovT|w` z_>lMoz*B;43&}t`;e-!v7cV*9sPw`fj80dLk(gJPKD3Z^Bre{iBM7OSedX>25o1lZ z?XaN;7A&83q9d%QhL_j#w@$Y70_9e9RlY6w$=s{=!;%=udxh`2VVr|sq4ziwtHP@W-SFdUFNQ=NfLb5N;jDs4|6m zCEgd|dX;mh-fS@Zr=p%$6>{i3Fn5(txrsi}6Mae2=ldvy*o9tpQGvnxnMxxwiLoO? z5=_zu-haDU?;pq`3;ygn@}uB%KdKX_{fSBc>q`QK_}kC@l2w;o2Cg6Uws7eCviBKp zM=dR&_6#m6 zFTRU9t+Tad8b!GTZoBMZ+Y|AxU_ajz*R8p{H9y8z+R_#&4n{?LwAN@7qY z=6&|fyu;pf0`IpU43xamJk0y&IZz!DLv=Z56B9_E@%TlU;Ah}PCG>s91Fjo_oCWT4 zIVt&u%q4>zwTBx1WTvU7=YyZjJnN;wv>dWS+XUyro@(VOP1%x6!Ux*yOt5W7IDj`U zIUMkltvD`cjl62e-)m%o{(Y?mhn@Fl(D$2+j9(Jc2)XF4>DDGs+lcRa*ysq+?U$qf zMZO>KCo}f#^;_&G4ujxRiZth)2i^pJ>MLg0lGteiVx>p>f`^$r1qgY;xWRb)v1U5K z{*(Fe4e@<3;(z@wZFzpb@1Y#ROnVxDn)@lZkMUZx7yOn>SlCVsRsKg+=r6#j`~I41 zr1HY9H@MHk0Ng+?65A-|1*B9ovtPqDI} z!in)S{Wf_iXBqzFYMUx9EOKusg<^4%i#)RFd-)Hv|8HFd`UjN0)rT$GFVn(bIaEE7 z-v=*lMKgEWf|y{UyOTU$5w6hppYE>x-*@PR8N6(HJod?a{q!%MO3m1Qlu%%>+;M#s z_R0L7Vh_vM=YrE_pq8KqLj>)s222a?pXy@2`xgvb;SoB=#RU^n2v^&qUoi|D zvVNX450C%YhvkVM&sJ&KbnquMq6N9Co{#fTau%&(2}@`gz;7CRa4X9>VxrD$T$&6& zKd^C6kbhy^;=cjDBS1 z3&T&s7`}*E;FO7Qoo@&i3H>k3>sv7@gANphbE$;(c#eJ$tbQ)c`=1zCeb9k6c@LfQ z?s76USTtti-|w9@Zj-hQAQ;YUmN~79whnbYts^h6B^kwia5qy zvZ5PZD{B$Qv|(0@*n6+5?$N{wo~NuQsM9a%@&1D3vCH4J>~oU z7E7VvP&e#lrbWnA{pNbX;PqkE8OS*>&~r8NFKn2Y?5BNO_1+rga1GAH{33kjUG{Vu zSke*$vk16z+dYvk+7~l5lt3-t`ne7K{Mmz+k@pJ=2P z?%&Xx3^^cgGk6d1RdlNYKE?MnXVr;MSNDkS{*+3cn0paWV2Cdh{AB6v!*j-KjldT;pIOitft&{9w9Y^HNM7&5VDJSHG|9)@ zEIc>+916ij`u0rh1$fZ{AN%qhYo5CAN+Om&eRkN&9A})e8 zJgnM7i+Nx4lC#0YQ+sZATN<_<$>$_b)iEm~_k+5N3oEnrdpF9JkT!1dei8b`_|G>s zmO$~rpnlWXSs4zt_sAu1t`+`d=7Q&r%@+Szg}cb_^Tiw-2et!UT8|tqbHb7$$qZb` zd0lL2mVK2Q^2p5Za~f2*XCE3SIlHZHek2_A#cvGBA7Xy_ zr6-64KiJDWeFpvz*d`ZNK|VqDU;&}T>w@{W!wUCmxkfSIwTE_y(j0Iv?X&pF6@E+P z!g?ad@52T<@L>)d8C&HP^h)U^1s_KE=9pg^03Y)H3g#E~*NyU0-`co1-48;qlsw-> zi~gL#3XIllh@DhXd3qJ$XW|_9L4W1x?F}cq^({-Jx+{NVrW5%9j8rr`M{>!tXS&m8 z_H7m)E;;m=fK)>J&%ibKby-9(6-QqZ=Z%mX;lAxIAI#$aZZfd?z!`??WS%Hv)2#?^wAPj%l$b>PRH)W2XZPe`9H3vHZDBVgazQXl(d=0o;2 zDNpnF7-FpL(t_&-_exZsjrX2Gx6mu?xscm4Tjm{~`shnyKVOS5%7!0f`7dVWLp~fx zPo18QTsP1{f&4;4f06w3FM+~|Pl6AD{Rsd38bw<D%1T`hhK=6%Kkc!oRE5Dp&IiPrvr`_Ky{=&=sg1Si|`Bo zPSL%?eQ+_PpV82J_;&b%5hJpLe?t1P>crtDG=Kj+?8%ES-v7dX$iFW7lDe_L)jpKw{x-D3ktgWY<P_x&l}beFk?>G3oe_JX22d+WZsDg0%KM{UIW z639N<950;*XT%Z5lKz1H!k>>N9l*n?!omImgKgWZ(PzQ?_@7qb-p_rrnD>RJS|9I= z_#WJ}|MY!DVi~Lr^7YG@BfA@X81|1LUnzS*_>-lt;Ew`>^@mSmG6|{WuzN8kT925E zX`5O9eqEAj<9(Y0-(U8o-}r-yd?oXLCZu2w%*O!uFw8UR0KHQ3*YGE&A+BA$UlMU0 z!XHiS^xoDxp3cEeoIeVF`sV&1>g5`o+nW6k{0q#Rs1ZS!Vmh}d8?5=;-8NL`KP=W? zcOu4!RT@^FZerSupls!=)OMvX?t%Z=L_<2?he%hiD;EV9QiT6d$@1cRj<8;+<=tR3* zesDEoZouzrJN|psBuIW+brK&(@tyDR%1|8&{$ziwb^DDi^pANvEBCw+`d%4`yfm2( zIw6pOxkmW+m7-OLg`Z!!*jEiXH-{u>?ruU5Atk(jvnhe377Bj;snxJxJ>5q2%n{%p zpk}Fb<3!;{{tACGbE8w>-;thA^d)_^+}s#_Buf3J$vD4R*6S3jd#qOG!oB20gZG<3 z!_CCCIInRIFXdjfK7PbBn5>0wj0+6LJm5j~kSD&^)t>6|;-GGp^7Wzbn-Qn02L2eo zW?9fH@$_K;$9;lduO3mVqk^BzbKPF=H0_DJlSac(J5_m{x9SMsqX_rpYH!+oIpM;` zPU*Cc_o477V;l5e`9)q-pN$XDEBR?EcV(#fQpndr>>Fu$`mVusP{kKlAWS!5!?FMW zh8Otgvk-q}t8n#S!1p4(aYfN*0arkD?HmG~t;&aEZrY!fkS;l^b{|u;ukM!u&6mzc z-iHk`anN7DDJZ(P(4Xp&thwx)@QpGEw^bZ*9crY-N?#GHx|fSQJ*W@k;L8M++OsWs zwPe3!N>UEtdON~bbW?ClJncr|NcWjm5?*yko-vRYOeN7@#D;}-5fmJc&0lxyU%9XI zu8ndjpzljx+WPWz679#mF^7Pzvw2oiR{|CDb=Ni~LhZeG<T z&q_rwZkAsFKRRl%>W#F}7S4H9y={159BwkpQT&%#nHicp_~1kN9KX5}ti2H_&gwrs zA(xnz35^EmutviJ6g*4%fQVcM%!{hGmi-c^`i#Lu)bNO;Kh$Rl$s|5T?a@?oRw zhc;A)?_=vC2vobxcYPCyaV8^>HwWfwTz1hx`u%T!{66-TFpIMaOYO!JdGd%X>Bj3Ecc?Xwhk5WA_$ytF50F20M% z((gl47rMZUvHqd-CJIHfEifmb*0#fkT%!T|y1-Ln8))Vj=qxiq3L2J1j8DG-9<1p8 z%P}W|yY=_)@wC~D08HceIE-`4_z@n$=5|CIi-)h3zqt#{1C*R!K3$@<;?&PVnE1*SORlGty@o(c8t zKYWBgncv4T$Un}EHU?e&W*@iEXa+N3$9^jP&x^}T7x z=j?@v@K)sw-x@$njp_#u(|FX#I>GNLwMr@QkM;O>V((>U%|Z2#lsW0|nHIt&)z3FC zh8X+$@5Mku`)lHYt5!M>Om)KPC@P8G>Xuvay@JfJe@?z3Ij8+NUt(upytg=mYR=#F zDzLh*`uD#LQUA#ZXYIpS;6QC*^zQczeuzbjvn(I6A7f)O`o(@@etF$t`o7}5hr71c z)g=k^fw^kugOppo6#t&NtOKHG6ZdtwxGC@V2>jj5H!vkqGvEhWS4JL?FNWU_()^u4 zG=vR>l?F+#?3_)u#8^ZhaCHU(bX$G^@-JLal6ui#oilTRS^D2Az@IEU_9K3J4}AN^ z5Ir5dK5P%_{A*uQ&;MCj+Kb%Jh5osLAaQo6_TTx1Q%BCRtj;q6QR7{AT9k5=pyT)4 ziNbgI#u&#j4*5ykc1u;+<1OFYS%>4P?C9J#4vqbk8;$S0aImWk(D?&-WZ@q^h$FUR zMGr8^dD-xwg*Ybvs>D5G@7?m%PIOY9(%s_V#j_r}#$TRmPw1862aa?nPW3z;;iTsw z<`>}{THGZc(BnqB=E;Kp_r5R=`!4dx!geqi^?MI}Eu>T*2&huZ78cfgxKek|vN z_K8pFVWlISPn{ScJlw$zL(~`bhb2bwO?=7E>Ug6^K%#vl$jEJt39_s&Bz z)K`Umu|!@7o(m=yUO0GxlUkcEm=5AcDZMtCaP9cx2^!<-sH``8H3GEsP}S8yLY4J=;4 zEAaXFfc@9d`4s#C>6iS`me?-5n_^{;c^>yM@k^$iH&_SyZ=hNG&<2K)Z5%?#xr(nrrMtO#5GdoG*s~ zg6@lcF|Id2|BLi_Y)sQ!MJ9Udfz|vMeMw(2FYh_pTfS$R*q=!c<}KtRGce&GFZPb@ zMa$r4pe9+%{!(R*g`g6{VO3yot>D(S6^Uzl>fEqs-pu4rvKIa|T>B#`V{goT zOP)@`;T+UFhXiAC+Kt#wupgX2=HCu3ldAe?wE|=BQA~IXGu7WX0{NGxO?E#xVwPTl zN8t1OxdnWE0KX;k<~nzaqsG7tlms_|ufOMRX44pO?wbq)2a^HDTYZRaSn-3C2-|pU zwCsq-+Gc~}<=(LY{ABt6cgr}FqQ`VloQwt)`fZ~kU$GF{tL zW^`_nv)<_Je<4IBWCJ$H)E<=r7z~`k-zURp(q?ej6IZ zAeU(o+6&>9NL-^f~!N3<69i|v57yAtIT701!Z>#!R5c-)ATk~#<`9DbOBcdnlUPoyc&Hpg4~Br@T*6h9hxu$(_? z*FIhMsQ1E!pK@WYm+qt2V?V}%!AJ0u5tE%Y*rNL;oG*x(4UV0Jy()S$+>To4D6S=6 z+QZM!ep2sn<<^#Q*ZWC1^}`q*Ihq%F>_$ll)?XQ&uDR&%Q;F@csgLd&+(-7uflT#@ zz;7ve?UT6I!&cMX4;%~BXpVm9O&lAl<{c+FvLTp5a7g%#fc{bpa>K>sWa9CD!!aM( zuQwl_M7Xp*dqQ@?ZTbOu?1lhjc3TSF2Kmre8}p2j=wljG4E}xwX1GSsIyN*02TP7R z{-F&qX7KLkPIL%0)kCM0r+Rn~HxJ0B;$Cp1{N$?r9UYMuOnA z&JHBB1=j38#!8{gLzojqivXT~nTcGI6m8}k!eul&%J=$lKf_Mt|g&Qw2IjO*jL3U7_ga^Ni3dIUh58Ub^I1 zuQyDk*UTAtP+&;@9Xut(^G?;l{RZyW5m8scgXQOUNHSfXe)g5e2XA65$E(md>W&(c z4r{HF_p^uJl56xzVDHR2=d#B>sw*r`l3uQjW9^8!>|KyAZGwyUsl8Tu#eRt6xd!*B zIySYcA2%j~w(tYJ7yDPv&0u~hh8UpbXHWh0ZB=?$QL39ar zwXX1A^4OIK?j5h2tJZR(y>Ln1-W{R6xq}ncXX6Atn)fo*2I;xrM%pie{@0$4Jb6NY z;lW|Q_9M50&jHgYz{QsgwpC2UT*o%0K0Cu`4PsU?hyCaogMF&JHRK%m^$LpaT(c>jNpv#8jM`uK-4{wn-*|3ocy<*JUZ5XP#-<`X>HBW_+w*v5p8iIwzHoYo+EzgnMv-{hK0k+=`Y!|nEWZj$Pm&+H0&IpXCz6>%Hyhb-!^8ev!;o(E5f?K{nW zgFkty@407nLL{$y3ik!+10U$A=XsL~^cB~SUVmk4AL3Y7%`f8p<~7d~^p=Xy)&07` zl&n&iUz}M7dK5r?IB>f-oATKHQ#_lRv440<7<~iKtRwE7;{TiysXmM?;D|g$AtLr| zd%?r8`L>_v%no+QnV$7dBZ+t7+^LIt%_C#tb)H6_csyeGOW;p-V*?QGV^w~7-D}ulFXfysjw9ez${bvV z=Kx!-YxgaBPyOzm!8|gDB=m%%zM_>2_;GJh-1*p_aQnYCF*lq*fjk$SU{Dvdl0_kLoZT!ZZZ*};YU9b5Xr-L=R+&?_aM1^-xM#KRW*Wh;-@(^dF6 zYlBRLzjd$pOPDvL5Bs_yyxtQg;y9Qm_?Ezrl@1QgrZ3LUJ;q{w5#N*ne=^>y?jyiY z#{GC-*+^o$NS$9T#J}A8v=}PI@nPg&7!MT{dFT^ozgH*hlO-qVAbFra78ml`esLxT*oN|}M-$fqoGCVp zuHbrgtJO7wc@b{lTOQy=-Q*zQJ|2usP@f9)mkb8YoNuFjG}xEGwRZVr>qKhH!p-Xx z%ICb^hbSr$I;(qyqD0f#h;#w^e&Zwlk?_Mv&)>jU(N&C}&Dwjq{DRR11t(tFW@4Pu zw2|m<;UcyKKZ@kN;mS7#=T&B6ei80ov^|*_1X4DO7~8U^j*IFD;K7Pc^EQldE5s9@ zXRP6%PeS4O0>33+Z>t2S>HB*ojg}#Q_@RMFDe{d2@?uvL#@S*VFgAOzaYCa zX#@9on$ahY0>br&z-vRj?2PWv_jz!K{v!Uq9>}w?A9))5RHz3X1>Oapdojb4wI2xc zi}Yq#lavDzY^VDL>^p>$x5i2*r5GgF;C-Dqq~!L@WazdHz3tviNE*;$F#ruf74=4+K9y*9|7X zS1q<|uQ2sJfIs$-^RtyBiEF&3SuIqG`((0Wi0k}XqR)c&$^Emz9bk^>?L@p+ zwSXtcX`64z9z5ESP|n=xCGui&kA&Y+-jChrOX9vsUuWvcLWI?UYGH5l6L<&X8GHzR zA5>uLVC0dJD(G+p?+eTEqvu~YoPZIpgn31PN!X8_#)3Qmd4AzQB3~(capWtx$M3J1 z_};ML$vshhwzjFVue2!h=v!EO9Nu-Y#b4GA+Gm97eE! zrekji8F}`MFx}^m_tSogRd0;#Tx5R2gJ4I56lqU?gCpIxSr$o5<0lv8tRufK-|-UY z@e;$(72S)(Md`VQ9^{TOBdZR>{K6cnoNsaOVPF8}7xrbHni@}UQG2}RV{gj!xm@&o zYPx>!KZFw>cRwR9#`W_~r{eS+D`FCEZzat8Ckt~bfR3X{Sn8_dSAu7FZY?d-o&+c{sG`!pv|YmTlxU2HTx?o;qeRpMW;d5xK+@i{!x;Hxs zelqa2InYrg-`L$%{c(ZdinEctdMwoxfb=ax`t@!iU&*>=e1P!Aei)ujyktjn9?nqZW4@L`YMkf6bOg^ABbpdO+6KE9fu;-$xk;FB&X| z1@49)hI3Tw!_>EW){p8j_x$47VX z8ed;F5MG`T0=-xMFMRuq>!>$BP4d^D0@I1@6E#kF6LCHldZqNSHStsK`=WHoiS&m4 zQjhN)cf6Fh@j8x{IzdjZn*lm zySo$D+CCfPL?sa$?et5I=9ap-i@s*$A-~Vy*lwws>z-F&h~8QvOSn%lJJFvCUAX8o zv*c!)ppQ@HvYI}^kKLLRM{|HFSaT6NJsZC9J~H?B1-_Ru-#Ph8p7YhEB;}kOv=d(Q zjf?U6{@p`=g#<9J8q5_7ABg-GuTRn=lsoWK2vvhza52=DI`Bf>*ONpRw5uTB<*k2Y zt4}DymEi91`DFrnKlno)7pwY$=M95n@dL4+<@(@SO9N;}Z!E-DV-IZ`+50*47uicp z2Ztf-^Fq7LX3gDUe&HOS5Au1NnHTmohMs;4qM%Jb;+n4JACY6`-dcR0xlhyatVQRC z_O}grO;wwg>)Mxth-*>5VBQxF80G-^-i5dk+ov9#h|s>z zghVQie}Jb)s^oSiHXKA_JmH|}OR9?-gLKZrd?@|j@6h{+zlc!GD_vhy4Nd>$q9HZ) zxn`1DyFbE|JBwbfWZ1FxRC{Zfx!Ccc2k|xb>I!?hdu-P38R$n|gji8!R~MNJC#7LO z#(L_rFyb|DlO}nF_}FJ-KgS_6SKXfE?pf#JlUxY`xfcM)WzX+suH zJa*fk*uI~BGn|&PkrA9^uATP)A7(VxtG3f}Xej%umb%mC8~9>=GhFr~Hp5e?y%dGs zGngm$)iX*hN}L-jb0nGGVeD<$+edsh?N`K+SHFg_qn@J|0-x_nosoBD z{M&(KVmx`ZF20((a)h6d7b55Fw7>pKyyPI?d`Eh z8WEy>y2GFku-zE?zVIeLp-&umw3TL@XS`5`pI`E-I1iSs z$(n*aMJgO5Gr=Rm>-{*%qWPxMw+!L*fOk>-@R{c~ZAKDx&x=-tt&dN*3 zanL>r_)}A}aB~fImi=_o;?dNe3w1ul%Dr*R&(~BJgFY$zxZy$Ci|La( zeP`@F7(jgVqQUjz1CbY$JO=z@1(k^;X5vFZ?e%lm7REz=5gHj^P4B`pyEOb7K!W`Ckih z{rR4b{@Rn)Gn^Rz7yQ|cj&V=4jg#oQ8!(R-0cG>kJ~!!?aK?MeJ&;`-Qc1A3xQ_{E zV09)57d8rgUGUenUkP0Taf(E*WbHM0>Mg#APj2Az!#;X03%WdH+Fx&H6Z>fAo063e zx7|nghnQc)XYOGqePyBW&$+?2`)UdLEV{CDInQ_n8%_Pr$Stz2-Y9}D@_Qc=OpKGW z+(bVza}40Olyk=kjQYqY-Y{hEeF?r%=8roE zNN)ED{QS)8vcf+me6!AB^gViTiei2dzJB>g{r-Ss!E%%5`WWq{hW;YY)o817BB8&C zFAIDA+xYDjy_0W0;6t{|MLrU&T#5e9%7Jr+-x3Rsy2wAc@S+X6 zjO0D-qqTqSLoD%{VEycC2DkpK2Jb@hy*WX8&+3&R{W^bFj8Z@E=Qh-tg$npBf8+%$ z_{ra$2T<*N3UR%_E%=j#n_rStH-8jGye2OfY^yw{rLly!VPib@V}m51ao%7XZz}wQ z(pR)3j7q|OHE@id{yklTUdcYsn;zQN*ukFokGUWEzQKUgr_RK(&lmXlxm{%S(=ZbJ zYRf!Bc-0HxONhp1&EK0)JM}4jQJVUE9N`0=3ugiL%pv>3TAA>?h@OG`zWjER(@8*c zrJ%oX-`MY7(w7{$J5D)7m|xg$_95Itz)E2OQDAUyZ27nf;y>L9AN(2i%lrB3o}za+ zVNIOYth~GS1Hx~~d6BZ{dlf&+B{%ht#HG_V*r`5&AA*)}T!ae@`Tb+wm!1RY8NB}6 zz8v2h6pA(Kl1wbSg+D@0bRLK@o#Uhz=yjS^_$#l#gJs{(oWVGU0${X0;X@V(xD%%( z>G|Kuj^L`juxw>KJ>)_iUIpf5!*9G`9U`&PqK zeSnGO$p`lRzu=n`zd}7%$@4b|H&O73i4*8yjB+1+ZyHj^_SQsu7!24ufIMN;_&hJ0 zCPDCW+=6_kCl1KKFyYh|Aiv)aw#4nOk>XD}j=T}J$?w*n&*CC#=YQKCNT2TR9kP6d zmCnJQVY3SNpoLYM%pZfjfEdPa89m@{w9P^O<=5&rs-4Y{Jzlttuim4;>pNZwn-$D2 z{F#bKbRdZ_ZcLUvY3+^9x-V`PExxK?==pnYnygQRciZa6lXycdOD zITY86Qgz*wk3A=XIEMAYBT;y3yKkq6Pkh0DQM3{e_8BQ*2v})x}{CWoc1U?L8DZig{Nbsvax(n~V zmztp49JJ|sPrgW~A&$?VXE z%dEm3C~-fV&f@R6OHMMOJ;3GcS07^e;vM*wqQ7mh)4A;e@^Z|h%(d#C2t3`vz&?K+ zX{8ceU@|3w7V~wWYKZEit!-&9`f2}*_EfG7@|BC?09Hj_47HP&i-xT~@R+yU+}z8NLCwh{*{sv|VJZHTV}JlJ$BN}|8Z)Z9yBU-kQY zg^=|QU+|qtXl2kVB?Stel5ZCPr*MCf`&MW)F(#QX?+bV9#&v^xnX=X;==-xNNcUe! z3G`|k7F5Xf%5&oHrrfn{5ps_{+b2==ytgS-n}t5~S4jTHi>NLaLA4&FIk(&BujB;? z<`+H}&S8F$9w+CE2IowMy*AV89`kOzxDGxH?_a^W;}r9{H*XB#LbqwF=jIoCdVqa_ zH91S>t4tRc>a!5dwM#>Vo7=56zT=#S|LK}Bi@^u?qJ;Z&euTIB$j+rnAMZJzbe-!@ zc@x`NKkkSpjwgq-hE9s>;e;9Knh(MI!g$5(eem<7ar96)cH%;?VS_j#P96* zmsNa&XOI`;zJVP)?{mL-Ghh0I*lqhF$=dU})=qm&KgUxpaEq(Hpf^SY_*^3h#>o>K z!2w_p;?@ZDO=O4Y{vsQFKKPE`oa9NMCoS&eT7l*RAmxGcjBPGI4~Kt@3&P=hVI0QK z*|8)sv@tgf;bR6Of5rB-jRBMgUroe?Y`VY2n~y2cF@GOUlH(l{QIM-O(ZQTCI zP=D4#ALVg?KX#jcAJ`|04vIc;+&=HxqgO|Ayx{iRj`Cjqi*2;}aPLAt6a(BfgL}D0 zf@dlGlR-hmZk4fZ5_B%KjiUKEm^9wCp>n)ngunX&3lQZJ2`SL9Ionc*>xTcsyn;6J zaveV#G=%?)$nWoiy}>=wR(p^JAiocJr$tZr_oe9lg2DH?#s}fQWS`MY+{ZYEJM@2k zOYx8G^-w>EVXynSE19&B?+JUIMTe;96-s;z`5p=*ZjbsiHP1lXW7gFrQOdn)=}pbK zJ_`4-(p=PVF-`StaLE{#mWR9;Zb#NX^Li84LVb=-S0CJa@Rax*n(Rfr&poU6?ZP zQl7RUwp16qiynNj{?w8Hx7lau1>X>Z$$pEGUWOq18wP)td)x!JpZ(2c0ti^5kAI>c znQOyx6Ty9EKZGZGvoIH~{uMo)ya02IByQDvKHWlMlUf)Ycu#`iu|)H(++v$bdb)Gf4PAg zWZ&cnYK4J#QJF;XkI()+MZXJ|!MAJ2H4bXW>o zE*h+ttiA#s@Lm|lwuTYfyUq-?ppS1hH~qdbgd_3+`()Ty#zU`MgfVx|qfG71Iqggj z(eLoK3wYz4Lq87=k1G!n$Okgt3f~*yRkZb%Uf~T(3iB`jq)9LDvBmh$5f3{Gy-s|j z&w5kkbxYTbLC#V1?62Xvms+6vIeM=vUT~-7SRij z_4KFSEC^tJ;dS|`vhLCo8R6hWT;~>EB8OPc%}4*sZ9J~^2c^>@TzmcCUln~2J>_hB z{j@Zb9DuPa0{rHddL_s97GXZ`%zgATZyK^r_+X-r z9PFtN{ROz(rgO6;@84!Jo_oHy`-YJR7DAa8GjUwc<_GN)_gf5K9{aA=#t_;$!ir!& zCOp;g$cwT68GRPqzuIo3h2{$&G~eLk<^E_#dW^iyr`s9or+$n5JLkt=1#905`YdEm zJJ><{oTnE0zTqpAJ_78&cd%ac1bRr{1V{(h4DqXv1n+|Ljiw;l&wtcB@GjGU$Q@iqQ9Q(I`tv=Fy7eE!f$EMgW-G3+hd_vq}UQuAlq%k zJr-+|N0DY~Erp;L4cI;Yz4zR#yo`(R<8$%OAwT7sIKMTzFj(8Gt@c4|v8PQORBxQ6 z{cA5U@3Wp26)Jn-S2p1US3D+!T!Vdy5B`Kdf;j@ecvBp%y>-Cpv%rAUq;tCJPDj1v zyn4SRo;C3b ziuSC=6&ReaupY_OJxgB`oosdeMy0vP3n6~A*c&`p=B0i0mL9cUed6d-rG#AHvEb^n zF#Kn>_Vi*uCiz?B_hCC;Rd-zyH4=ax{A1jMyC+_FEDfOB6qR7pRig)Jyx-2Y5|%Y< zS51o0p4bv0*qQ*O;)VMdbGZ}YALCrj+47>tjv0r(B<{m@cO^ch=BJs&_v2G9mRfV3 z`rHje{0B{;XRy&fIe-|u_wCMXy0PR`@!5~8lIx1hfgc6|kZ9}yNAq_&Ig%KNTyWSz z(sTGahOo7*edtCY1pq|n4_<-n#o&kMo-*#+6?y;JEd#Wb8ZV|hNRhNvHQpEF795A(|~6uwQ|jD9iRV?wXQZ*M~J9?{YV+phR9V#?%g@Yy&97_>1# zbK}S(OWrUnf!MZ?*$R9Z&M$hpY5oxNi}a*+OH{7b)f9bi>;|cSw+(3@2J}ne?;M9e zj}6@~VpRu9H>>V^_@W^_gUCM(--3kxqcEDl#p0j9ALCw*rf-c+=)eBk)RqJvU85uo z!Mf^65O_+!pO>%ZLc%{B6)HNYwMICJob+3+A-*Hbf5Ci@&i2+m!Xs%q$NY->7VGtQ z&|m3SDQNUA^v^T*%G-}vUcIv~UHfn94bb!XvX}IJe8RlX`K<_W95{}UxV4afeH%Vv z-aEXkAikOiZ}_*^FtrEz3l|>k3RnK|aCh}V|LjCKwGT9gK2neCmU_D@C-Qi@_>_A7 zn5tZ?E%ywzIo2zOep}}3j54Xtx*vHV_fUYT=t#ZEl=e(YzJ=g2)r~>!f{G)lfzuqBVDFqr=4ZeR(+Xdbw|7%Z#&JD>S zde5-fQco^=S%iLME|zIp*!Q|Cn;1{LGuoBH!M!TG(xhCuOz@MX$PT=G&La(qCQ!e& z)ZH9FGf?EP5~4Cj0ngzEP%NQTFT^j>>7Qn5o?Q(!L~I^=2U?{&&p# z!g*QcAo}3Kv}7vF1(bcz)7J(GsG8Bb?>Zh!Twi)-=rsf7c-{PlC#YUBAV~PL{L+{IM)--p!9V5#gHnML`d>JYv^9mK#}oH2I|kpqHHdS@oi8E3!}*g;TSAT8 zgO;(e6oTMDb3eQ<&%T*ABliWN&=fL;Ypo zU0mt&w2Aw+Or494ptpkqY<)tNm$5NS^|FLKLogKcqeyCpn!=yVi-qhonZKrOQBKU6 zCE#>pfmIrP;-W7W^p@|#m+|SuG2Z$Q!l@Q70>HcAn0}Axar7Kmc29igp>AJmx6)GB zmvYZ2!hh~F6^QYtd7aQl!t0>f{=}dE`AfrzU&sD!-3hKWyGiI5WBXAHn;c4pt@ijf zH<_;r{*S%)j>_`>wtYeD6(gV~c4Ng}P(gf_4eZj3h=NE_=~Y4L7<=y}F|pU!yRmDc z#@Ks7#S%5fSg^-C*IG};9(&)re`kz4_BiA0ad!TQi6Qv%zR$O;wdVXx@GXDin8F(= zG(`%k0)sKreHNtax&ZH=v`21M__oF+VW&UeYlDy7&#Z?dEiTX|M1Gtarz3H-11%}zn!*ZwsSE7wVl&cN> znD~wVwxG}KpTYcvx%zDz+tBK^zdB8+olEI#)Gg&eEHkM&5c7RD)P+Z@&S%XHL+TyW zFXBu3+gEjz%ufbR)$oFkg$JB{gCv(U5q%+~9yIoV-jc_;1J`5|%VFZ7A1h#fT8_W= zJwo9peUAWm%-h7ao10CX^BCPc-$2^;xOpDdQg;pbIEMBE>%ab*I~5@J=C6wbwI2(g zi{@&VksPsN=sSw8&&yu)po^-bKgI{kt{7td>&yFB4e=q&O`whpUPb-FzTl7T6O`9x zfm|0pm`g$r!@iQqA#{=Xz+Wax-q`s=DVk?=4|-ts8pU)-mp@?d^VS8fC9 zmpzbCmuNSbcJl{&0)3TI9CUHTkb2?AaP7-tUdi0R`ryFw^D^N#33@7DEHOyR?de9c(9!FQs2qUf3y?+(Z|=hw3&T7>l|rI2$aQGFWio)a3)1_ z6T93uMAv;Rou=@>ylW)=iwxGbB>|j7a!3d&|5MGq<**OgOf>g?ML0|5p0N+$0yNHCOx`hUI`&mr&;k-35~AWKY`cB92>lUoj8vSK23}b zbDz6}Xinxj@W;5Z{fC9}avHkOX*O{6u~FV+yIkVy&PJ>kq{VevPspv{eR^IrF@LK? z7S0!*W0r^_(8y=_R`nz7cGj+#S8}dfqo^F!;SUNTjzf8#nMp`Jy>-7yD1j2R)D?YV z*?*AtT7`{P6a8f$Ng4y4Xn%m3py!a>y2Z$=!WhT3eZIjq#|m-a^JC84q-nb3(RYIn zs5U=PxL@XtMxxs`dqS5IBZ)Ga7d$qZqAP>^IK-ZCJ2@5DIEp$mm-k={32qK^SH^;# z+nYchh#USgI)KhWo^Jy_>^Rl|m&cr*eN$gLs@{A_2yv?Fwx)^1xXgpde-S>_pW(!9 zVYjbI>yh{2bb<9!xR1dNTd?qW451tR?c^BL`#f){eZgQkh*i-ngWUN*Mt?kr1?$}gtN!m}5Ph|$8(QwrTLSa; z;b=Iq%((&hFts4WnmHT(O5XU|m~)Ox;3oqMI|ceNF0+rd2FD4HTNU_FWc@)8gSgAD z%I$R}w!hk4iPOAl)cZ0Y8I!H|!LIiWOkpFY_q7!s-Upm7l|$j2^7p1V7RG{iv5<4B z+?;d{dfkpVKGU&Gp6Y#XIMPlG2FuO^hXd<({`C~)k=!gWzC~SpmkaET{umovE!`z&|F9gWClhVmA%Z_fixg?Rb`bBIcE7tZs+@ z1w*qUPf$N0-f`=F_+Oa1mC`*0t-7T@gXsB~gk&)_;9)Peaak(j@*(Crd2bd ziz-8mMYDqcL41)L?8$=%@}W_h?}>Us>{Zoo8uQ+d@~n72ftWhGYgT~X)4_)kf0#qK z>LooLN%8@H36Z+BML?qTd1`}qF_sPNm`_UXbWb9V2N;Wdagm8WuvEQ0=A%+}fnt z?tK~+XTVVPA+!)NOgC=0(gCRJYkiE<$Clp9Hig@O|B zz9BvX&kXI$&H#59TuZBm$S>sF(OmHP5s$b9ybHdjZ=WA0^?JLXHTS5TeIETDYIAZu z_}QX21=sQQPk(I-f0QJ7k-gSf(XKTB(teI7FO*+rismY3w%S$WPreSHM&2s}l`yXy zz;Qgw168j$!IHW&z;eEe)+HTnB|q!_`dsb9$2sV|9sJtk+wg&8$Ivs$@40FGR-taL zYep1xW5C)jKY1M|_MmQYxL>-tU9Rc|j)13x2hHnZCP6%Oto7kgI`aZSU8PN3Wi9YC z7&KCP0JS=OJGV=jT$;!M-mj3y4Sa9aB00(pEOEz>+@mAV!|=UwMY{Os@?AVs-?J%@ z4r19|eTf|8bWV^eqy5FL;7zl@VwF8v@L(`DiWo!J6#6mAcj$h@VBL}1^#tV!%nTq< zx!Wg9OHgh`9poGXi&V9%qjI>8hR_HWlKLg8UlICq#3qGrDUSR~J}~PMjbq&<_!k^k z^I$dfFnqDx4xK9Iu;s!tHD}@3d4ussy9+Xj`EdTzf+!d=hjIJ8wC>#g+L$^SVA9JS ziQ8O{14>FR&HGd7%Bek%Tqw3ZfOo;i(4mX)F5; zWpfBFeGCfk8+Z!m6n$h%aEm3Q9Y7%J zeYsyd;@sh!#n)-7o5%js1YFne+TAyf;^2DJHiMe-oMi&m3j+urWlCT5ehlXJ?AvGx zJrvJ9k$={f^@#_}918Hw#K$%X`N-Uuec>*zH)t{VFk*bL(w`qZC9c~;&Ot}hkioH+ z4c3p`%*jz*M!OJVx#5Xx12qrX8T@3PtJt{^0(`D+Kl>Co?N zzex4{td2JOp*IcT2!4tDROTSyKE~M0cL}+44l%D&2j-}sHy*ja=)?RxF;nl6j-kTi zPduGXZ1;+r6-|uAPMqaWlXi_L)d4z$9vrxb`&hq*-45JYo=q?fLYtp&aIEZ+L~F^j z&hC&dzK-Yj+{uT79Kcgz9gf>?_B#LWQ%2`rBavUp;Iy9h)SeA&xR1#^dtZ$DOzT}Y zr2dA#QgXx70z{ANoeF(2w*8hR!bx%nD#540eTwBFQeT{Ghde&cdjtk){5%-9a>rb!E4`Xrvet3yp`s zH#*mMCdL@I8VNoObKM@Nt55KaJF%dd>|# zN{qMNk&ld6+v4Z1r0V?wdVbEI_&h&eeGb-M+7H^7MjP8hv4#AXiieg?u8a8#UsGr7 zL_RVXoG(WZ+m^;n%GUgbJq3pRek)s@yY|YVHC!KJ{=)er$H9l0%)ygE;PZ1n_#Hc9 zIcH1o!Tx#$qw!AM$L2ziupo_ioLc2l3Q4Zdy#j;%yd%nFh+b?x?l(Li>Uk3VG4!pg z^-2~$OGOKJ?R!EG!*k}+vva5ggkU~jOj|=2(C`ZNa&$)yx-0W zk{qtbGmtaC7zvbpLPbyWCv^I7<60cVJcnaXuKwUJ>mztExage2ig}y#e|Kk_&sV;& zjP)}));e$OolcDPGq7(6kFH%HbpyV(#AAEnX3i(woo281S=T6< zz(UcB$SW2Q_;n+I2R8Q-)PFe}{ueH{(J$j%wh5KsTVnxIO-JIfLcet()DOb4qummf zuLz!rlvgDph;w8Gi5G8;C$_KbaPlHt3;vA1hI@h&iMYlwK1f%_O@N9OzIsIGH_x9-bx zg7x{&aT5M}O0~+wZHgV>fs0PNxRdfF_kec+8?qzv4TXQ+vA|#*-l;Ab#4c;fga7K} z%lzoykT=D~D}T(P*-%u@olZ4`;4UGK82|BpDb5!F-=BO9KN{bwCMGNI0K7idxp{0% zqBZPen`TAz4~<>v3;h`TYLlOX4xKV%8BMUKbWte)3il;Zzp$RTQF=O^X8}SZ57lW*45T5pNYE?QL~~v*lo6h! zCF&R9EB#`x{KdQ|nOh$z8mm7264wppH!OUap!ul#0)+Ga9rzcb<3?^O^T>A%a8$k4 zl@Q_D`;ABxzPVcm!-zb>jLP;8=qb*`ID?E%0HQaDZOBCh7;t8BE;X zI_rphR+%4MHe?R?9C>`qt;8Jv1ng7g)~1S2v@7Q5tYf{2`bBgQ7tHe|47xQ4dEHRI zNNkw>5JLAZFyeu$)?G#7iObP};5Oc8z0<>NS~Y#niR%^b8wLA@haURTR{7VMH~+@q zhQr>(*Z2MT!BW>IA8;bLRklSUkB>1ie|F8In}535JW6m9pV7}{M-%Hr$3t%^c89zI zgRik~$7Cok?NFrdqn25sEB$3wvhpapxoh6*+Bo6gi~;XL_;h{qh-0a`Z%Y>b%cQm* z%IA8Dd8OpfS!r%w=>)ACtK@1Y#psA0w5oxH5*gP2St?LdI!TC{`yvI?-vOHuFN={~sg z0)OOLus-+(@^T}pd;bc)CHLFEZ#7c;ZgnFFX`h3CZA-?r$YEIzE81Wf~ z#er`kft=?I(LFuQB*|yS{N%wXD1=XVQ8w!x+7%iykFau9F4KC`k9<8{|Nm$9n)?es zvTz?B1gTEj|B4~J=!4;!dm8}G7^uphqEd<5cQ!k~RYI(I+#WXq)hBEHqIk0Poju04 zq?hy&w;oI*#yrsTVCwUBdHStIu96Sx0sp?_1?-O$KH|UzIaFVQDIXY;E7Z`AxP0EZ zE=P6QrG1FwH;X|haGvv%?l=*T+diF#-V%jRt$}$2lldRd=Q>e+1`aeHO-;T-a8(!R zlbK`L`higmk7HyS_)#2CbRtstwY5uUNq+3xsmYp`*h{%$o1xd?^JW?LTjnH<$9iNe z`c3SY(&sAUK}^@Yv^7c3tF=}Hm$Cb`J@I4(qe?l<*OjYx)nK3H!&#Vz@Pfd7j8z~t zUJg_aNf%4n#P`*1F3OWyXG0#yI~ebhOWY>>qnm^Jn4=>JRD*IqosTA%QP?vrFWkqb*-Q_<=!^VH76OhAqE1`BrgF2)+>Xwn!rdr;K3jbW;Qe!% zP!j%q_K`nEe?|IUs8?|s6{c>=)*PlkZX5SvS;1mWQU}&f7v1G<^pi#3S2K`)28JRR z>w@D@>_?QLCr2Sr!TnWql<}C$3`SCw5k-*<#=RAz=gD8!4Y)IARXUR(y!6FW;NRyB zAN?`LXlJ2*5g%#^N9Crh3L%#FU+A1jPY-mcdjj{d6yC7QMQGm@^~<{TR|Y5l6|VF0 z^EN?%w?Mry%-Jj2l~54DsPYAHmqM-oxAoVG0*_C2751>q07Z zzA(nZ1A6{CES&xhd9Qq-t>~qF~5hQGL%z*`xuw0#;r`%0YDGKSfvf6-6fCwdTboshrxH= z68I!J;H&}qW1Qua^La^u?WP1H9ye6Z@Ms|2gAB>9T5m<_I|U*@2lvhEw4FF4I1#t~V|(B}1}xLk z@_Dq2b-{1o^X7_aZyJG;KFaky^4j>EUsGU6{*PY<$;UJ+lFDJs7ydYtyg9HlC|UDp zE4!;sDKk#y?XNfFXdXjLD8)p*Sduz+8N z`*}~U2={I9L2zZUANE=sBEF&fs9$9N7-K1XqIN&RkIeeor#9pXP}Vr;$2gYFCdGkz zan8u}NX^6OAEWifoLi#1x(+{y@LiVq(JTfc{g6wHA&J`yo)YXF(a^*2+_MGdFQQk? z2o+99mp`&KXW-9h>cjz{`Tn$f`Ne5((bp5c?Xz&=7^geM>R;M~+&2E8PuVLsBOd+(?AL3{#;U*Uw;RTM z4i0;d`924H9)ms^aRE2BCTPFQIb8h`1EHhk2jC|BsTgywf`6a+8C`pf)cH!=2(o2> zE$SEHo;8V}PQC%K)>|sqxniv7`|9DG<(#C;L(dx_5P+^g{UUv6%o`=2*uk45=jNwE z&Ffp_tiGc*rNl3~EHHyQLw~m{pb5otXZ5aeKO|Z-z~{dzVgLLnVSu?%_7D%JYSehMN!WG($}53W8;q86eqm2 z77ueomoPpMdK+Mn<{wX{z?CSp+IbM;)LK4IqKa}cv(j_0VuE~~e?#yv`JVB|6=OYk znoDs%V_Rj=?GVi+-501_$SaoWA9>_L&sU;g7zQ81$g{rI(02;|cBca&eWOz8Q<20x zllkDx_Y&j$ZA1FOE5YmI2Jl~)SMoLDcrMwXeg39YuHHMY1<{YETh?;I{3V@P#zk;8Ff5By^2MtPsJS6xdE?vKEoy|s;{70f+t zb={~Bx?krH$VUd2?BkIDsk@JCPN0gDF==WRPSsf0;|5L^2lt@f=kAtwOrq);ok!}u z3-ifxJm_dbRE-4<&?ig(6ncLC`O^-^sLmMm3+JSC%sFT9b*U!m7tzP>0%w{VF5vSw zkYEVRD>+d6Lr3Mogq2i%@7Z+mLrt-5LcN%S5j0r2_NZT&J2z_bWdn4kdX~7)3Qu4F z^t+7n3Qwh>mX&tCUYe@9i_P#OV-8SZX1wwh-+M|P?LO2ma?bo7taGdxuCxhQn5o|? z53lm=NP;Y&ydCEF%(LzM^uEFI9aj?U=tqDhJg~oi!F}i|KI%JbHbnUfADz^{y|OYP zB_J}~H&1g4$2if;Ume=juRfX{L;qf@`$*cd?I*M@?;Ec$&<>oNL1S2t3T_w6IzCm( zQXlYyWa4gsG=_-e)Y@XjY}|Op&|W0_$zr_z83x$nM1>$d!t#K%fsMDX8&P>fWanz zCP=yD1y_uT40hQQF8s}3q37q=*iNYTS)WjIZz_F^!NIf}I)5$)!H41UDINS|&I9w@_l?(EnY<*XzG-8Zy^*M!$)3SAG42zr8Fgmr72k z8L|O=c#%Ot&(Cw9FLE=LTLJ&R^aai$4}pUrkx$O?P3yjc|Aj#!sP{P*{=p&akGSt{ zgl}2;OlP6Dyog}d&DN?Hf_{v1f2+N6Cr;@NYL9s(gNr`fD`x@uVv>`HdVeSD@KC=n zS3IqAlyY64#)w`fXXyA>H)rTRG;>y5K7JmIImx# z=7>3sB#vqA3?3|2`O6hGh{WayKR>s9cU-nqj?kqT;`VIxs7yL%!AVu;4bGt|T`r3l zSMcE;_%0hz2fX?>o|5>h!<=<~@VF!`2S0QX^kbsyYSDzExbKoYSo_bm(9H{&<&uHx zN~{(3o5imn00H-v^;wg0Qi**~-xo_$&eU1tCd0nG75Xtg$5R`5iN5E1%wJ^wh`GG* zn|Ep+Un2a-5(CjalGtYJjJmSR(>~bA9~d&PJ#Q<1nht$(h|_GR#G~HlM!~9JttXZ` zY5%(^`eUrWhhJE9f`yKBWsh-d?Xfh~dA&(dfAYcy#%I`Edko3Ye3K=S+GmA6)di2Q z*T7@~UFOyb)Gu=HNsZGSX6U}SessWnuL=iCtV$-}j=~K*Cp^AA2mKiH3!jg&qD-i5 zi=B#>xxt=~IV7=}URR8rTfh9`4Riw1|6UV9s}eW<{ad3zO6LH>@s@htZF8aZJaDdH zOYINCk&SagFbla3#BoRi7e>-u?oXlr%ee?wr`|F)^SRkOitycne_G^6&le-1Zvp%- zXj?YK`V^eoYH%F(3_S8?5p?Vv;1Cr`s6r=xg?tT}4?sT#$Yi6$3;wcyS|81!Q;@fh zF9;{3sx*nb55L|+26*Hf!rKNvSG6Kp})Mt`ZmXKVmZu2 zA4kz!H9j9gzk#QCF*#BFyhBHl=p39QNapdqkSET-e9T`&*Zc@PSfoh@qF(BbJfr>7 zGBr=}>k9_+6g$+-lKk1;=x+&Mt&O)ipN0R0`K<)-h_bgl^hi|`1pyV5p1K7NI9l>Pw+_4r85jkScoszXCW+!Pp+&tYRnJl^xc zekXPP5pV5(y#_y-^QUj4p9~y}O=4w2%Fc-g&UwVw(cL4RsITp$UXN`?(^fvHnvJCQ zP1w+N-_Z4(LBdsn4xanEgKA`HJ_62-=I}?kfIo(D{9~WhxR2r7Tl@r^Jq*;wjLOsb z%!OoPd`^ot9(u3-GfDf`C#;`p!Hx67!mZdbDM)F0VPp6RqX@QY#2;qz52F>Ww+)(wMw$A6bhRGt!eKHo(qxO?9OS4B;^9ui{uS;jG(Q+!@Oul#P{D%e?u=yeVYcX zg};(>xuA#Pao-8t$BIk9@CAd{{TS?*!s~<{MtldDzno;_-Q+@}%3s)k9(Sad!YM8( z`lc1faUVlESsCapB~Lwgu=@D#BbN$s)!$USVo3hqGW5rQnHdkBlJM<=Qib*%&*TQ+rBMOYHBGcU-}Tqz}+)2>pq)pk1Xp(kRQqv#Zxu7GHA(?>yKdF=DsFW_4Wr|Z`OgZq#Nw}5Zy2_^Vnk@OO=Pv6zaQa%vom8_GU z?gw5U?94A##?d{*UhGF5!ak(k33;N!=zbdfIc~5O_YnQsG0b1M?%(u-mE89$Z;mHF ze8EWclOsjAe8q5wQPX!(4ta7TCM|>(FbL@^@{z^3hxrSi4_+=*$aawBHp2Vc2L2e! zpf?P4kb2>Z4ERC0;dMBgULfyu%JCZpUkj&Ij-q#*W9Q^Y$G9($l&gOA=ID=c+*N9j z=!Pre9>UlC=e0vc&psUIx$LJiqiI_&D3-?i6CY#OqjE^N^xMJzW#BF5FDnJ`ns2b) zIA^J~^76h)r?$YL49C5+^~#e&hExqC9*^z0V^55IeGWZ;MFvxcCeu~+Yr!ujIS*~4 zG{^CJjG04!-QdT1#DxUqra+&}^6}27Ut|CdzZh0;z^2a~$cp2b7KISY*lfBaQXb;W z`*t0v{D@i++6Vsvd3+yyeHP$+6raEzOU%rq04)ZyH~c#@SsxopL0dDhxs5vTqZ*f^z@CtidEWOzcb2m%(~j z=nOIrcvRB1?&n5uQIE-l-ct0)%QQFXD*P{bY{;FAdLQwm{%<{rWq?l(r^#IW=PJe(zQ%1vy6eI7vBLVPZG_aOkfZ=Ah{3&$>7@%_EP{6&0*{lS9;F8t?N!K%NQ z3V$Wf=_*#H$vnq>#uM-N4dYduNV_xAGXH)Me50n5X$HK9P;ZH0h84q^^0(5GhHZ2jP^E^ z2LRe%t#XNFkQ>t-R3C-cEA!Y*(ZsTr!ql6_JI=d?|4Pq0KLSOuYQvE@m(b4mh2UdB zK5ZG)`->pBT$qqaZ^Lj?Xb?)wk8?u(BKiRMU*!8v^`|cNt9Ix;3OrBtE$sroo9p~_ z;KEt6Vmsdu|Jed-Vw{v!_jKh-KyUd3E~mVd$+YI@wl$BYZ$dg zKKCfw!OFpPyJ`rBr7%o&g3ybIAF+F?% ze7<{YgY{m&&WRSefn4^;jyNWv=Zjq3w=JFM5#}*}oXZt!kbl9A$oB0-pZC}!fspF(Zs9TbA2!T~<@~0>;|3e}l#4KM zIM!cyhoy$%K841S3!Z!7qRfXL293=2-zle{HuRRM2!ycxGn@D^w7_}AGQ)3n`O_-M z?PK=jNS&U$J6!xs{g4ym$aS4@+gLE4|FYIO$q(riIAQIHpU$F=V?)kD==qUb90EN* z!ju~y+f|x=Wj*KZWLgWI#@pLXX!HvdGA^<7hywuO-^b}y(V^p2L-bOC3Htff4j>-a z9>cs}=31qoJ4U-;-U!tD9Gr4V^O8!$ClaWDTc->ksk}Fj2-?nthCAwg&PxVAS?14c zEU7w!e;s0_e^M3x^Pytox@2&!*yN^JI_EhGJ`C3@9$w0kIa_Ef=0dQ&vvMnwO3+Gh zbvA4rL%hq~J=j$GZPg;fwIA|1Q2J93CtWkdN3bzW?-S@BZb8}b3imN?-yO(8UJ~pq zU&EKkIaE)JCJ_BxZa8p@$(KnLVRzDef z*_I-pC@?NFKl`$+?CW>YPnMkA!QQF^E;2-OUw?KY-Ub@~Vy8OZV9fV<(6*za=1vX4 zx_~ak7V}@_Ti!RAliC$L9C=@>M3Nh9go9dU5kI~q!Lg9}VF>c%F~1!8W1P&}(=a#b zjsxz8vB)ojkRsu6vi9M-c!*B@OfgfhKHrKUJL$W=b^;-#>OeU3_^wmAGjQFwhqr0r zyBuPCeC)UIzi<$E=Yf>Vc#GMVL&7Dxevak zqdsS=i>u!D=4fKf&b?AiDZARN7Uvg+OTTbo^MN!3KHR8PSM=UGJxujX1E3c|>~Bwp zRJs8CmCycE?MLr)6Tgo?=KDyWORD(@c}ZwE+uTi)e1`6C!Ou7gV@3|@eb%>bM_vRM zV9g_?ewv8;gTBuNhH(2U*b&FVFM5i)lnc+|-s-371pf;Q6s|fckIBo9T6RH_cJDmh zX9_xsKD!@$#>_=boti?3D?%k-V6d(u4SMYDuvuQdjq{}vlC*kd5!-|s%>(BZ@{x+O z(H~F^-~V8!PeYtymr} zxs;pXyOMhI$yH-2s)f>Ko+F_@CO*m|(8DlT{u_Ut*J4gIhlAQbhN(aB z+ibn3AA_C%am^jtS*y>hSGu0V^W5kQexdIM(#dcbeWH-_0^ESh&n5MK`aX$9@&I^} zJ(np@%9M_$Qd|&Sid3Fs>NSJg=1WhX-l0k|b9SIRrbP)9*M1^@|v)FB)zzdetqN zMUtN~3_3gZhbN)#7Ldqm;}-^X&h1FteXhB*IN8H5yZ+#4YK!>BL9Ln+w;%3o2&bCN zPr~O3mkFHW*NiL{s;>(pT#r{xigOqKQ$V{^ox@yCRer-RH#&<8U9%nWnx_GNvJLQk zvG?JBxr0gc-@(ME`iI%B^ewi-lPBR9*rvnQNmdo|8VJmsu#X@ta zGwkul_jqbQZ9*_@Wg{7UVRGJAvn7r-Z-RTf@Q4g2(Z4T9%T&MRt0a0QL5+6|&ihQc zIEDtXejs^->d7C2Kh5li}aZ9j5+v$2*2_tHIZK2Rw!Q zam*W$i~P1L^2KoMT$+kJ3*P^*Ubrv(bS8WYJcmTR&->52XW7KE-%Xf*4rk-#Tz|=> znEWI3KMV+b8Ad5EB%WNBt+@pKZW~BvxY@C-wQ{q@rPD~(drrZent_2_TLwtZZsV{7+QN-*@cKlL z72`-5+)q7*{us)tzLZFud-;2fk+hc!kzNrx|8*gn`|#jRq}ix{V5lW=8>HgnXu`B} z>ow%yNDge%iw5f(W;V;xT+gB4TZ+%alTN|zJEr<;;{fxV_IA{BYguus(+-XP zdZwxJG#f@}zS6A$1j;0KtSg4}aW;n$+5>Mq*Saeg+DIji<6Kr8xkPL{JK;u*hxR)Y zFTRpzxR32wh)!9l(USXmw=h_B%v*3DTMA{=Q}9;VpldUNkjmYAE%?_w-U**`&wxl` z<;gm>nhTH5UHq?WJqfB;`@XZmA7hY(uaolFZ`ufVIBrI+-s|@{Ngk}v!c6t`T})Em z!nr#}1P zoJz4P;K=YC&CY{BbvdvLdVZ;Q_ZE>kUswhB_wnC*;9O*%*khlo#x2NfXJh@a|Mh+8 z5c221j#C4)Z;$oD7}AM`i|)IRd>18CXgx|e>yoRiz)_m7zTfMxK>hLq`C9{MrHCR7SQzF2@&!2R;@!Hvew zi+n%fW$g1;pZE>T_j$nlK1}+oJ13z(hI@OnyEl#2{FkRST{;@oCbLuq;rR953$E!a zj-RGL?UNlwz8Le0DwU%8%wxNjM5P!M{8dxYw|;I2A0;oG(j!y{S^KgfzDnpR0Dz*eE%nPiN4-}+2vJ>IJ^00#?+-mc=eC|75g}Zy=vhR2F@Ez|89^<$ zAojLYoksl_V%%A=Y;dI{IPZeNzy1^t-UZ87#|0@zd7~#)kPG!|BaID)AsJlVw-is?rVnhX%2;Hf9{UE_E8g%X93woPoFfp_V?`B z_2IK(&ed?tU)WC3BGya#VHJZ$t4^~x=9O&Ngnxf`KM+`OE=wP~-UyPIl=<1}pIUm) zxZeBArAcixFR2#h7K|^Lfb(S}2fmyFN05JA=0q_ZpxN10IQm;da#bIC33?w4u46K@ zBu_r@LL!xu!ugJ2#{#ppqX|XkK9BZMs_*dtUk9>?3L{de6bB)#beG(;Vh7@cgA?{$ zj__>4e2^!Lv3IkgDa7;;hb#|$9av}5U%XsI`Wc(M#A|(mezNEm&@bu04;bart$bYM zTtZYARX>1OuF_?th2GE3xv1Y|eYFOjUgn^Ac1g+|3>rrH7&Ev2A>Ux! zlK-Yi&1s)HfIv@LaBX_7@MgWL=Mv+NhQ3AL2W{YxU73`N*vuM7Lq%u#$q)Mw_j{pt zW=ya12Y=1GEuE`6CYNy0r!V{kxv&Dtxn)R>D*VWt8`(c5L-QgZV}2cogb47U=W#3- z{FRJj7!z1ZIOdbqB$EvXE+1)1Aq^W`y9m9I%uQZJ62_M33|}#r$Fp>Hyvzf`?hTN9 z)jG}zH04y?j20^}H+?;%VS`pql*6Eu*CFDIsq2f+m4)BkMpDs)S8wd*IlZOHxQ zR7cG%s#t=Mig~JX#u(*Rq8?+;;B~KXYQ!9Hr$CY%yv0`y(LDr5Xr5l28{xM8YV+Tz z#P}G>Ox5#gJ9NtoMjL1H9>D8kJwV&&(PV||U&zj2YRL`XSXXm@k0asb&mJN7le?HB z^ZuQea^K+gwf`7f>W$cuAEL$jj$Xw2g1P{?~%=7{OM1Y1xr2cek6i?l73_O8< zMf6&&uNz#~Pwk#djIo_jfShOs5KjtF{fC={YN+}Mv0k9$nvCxf+p42Db2o*zk1?s`R zx$fZ9vmhJ1AjvhlF;KYALx+QRA?HyE%p{4`p9IrW-Q5kBA|!$>&nnS%&VIS>KY4C&85i%?yDJvU;z z%R<*Q$t9aVD^=&XKVTgpXR!Lhc;d&&r9=ycq)fog;+_L4E$77rg;zohNx`Hd4(j^bBZ0iv+U-W&Jsr>o%$;7cGTYcO$ zXKw-S2k<++Lfy=^YWH?|!h1XiJ(TFHI(g_k#VXn4O%~D5zZK@SI39e!0Xu{8y6oC( z2J11ZW4*}SdBqUICHLCO=>fzseAhZzP$)MZy1I~?01>{BduH;>Y+@P2`{!+y4-Z~F zw~M9>GWp`)=Np~b$n6xZ>!6IE==;hw&m&O4Ucc*?Ln1Fq3L+_^CS_`F3iL3-w+{yQ z25pAe^k{0{7^L{&{^E1DodW(X|3Ul0r2anhMULirH_A6S=WoOF3S^G~-}wH}t#aTA z?qkh?QJiNPC^;8@V7>Ig^}wrbNva?FB)Ue)6dLB}RJB@O6U~oq5vSbWPBFyS?jb|2 z8*DEu8lFH?8B858fSxlZXn2C^()_|H45>hm<~WMps?Dwt_0!Z&RJ}3seS|B4`kwuu zKIEHA2ImolrDqXTlRYnY3R1mATkw;` zu=v{GT%h%K&N8nUf3>*kemjhz#)*SM=KkD7Ii;!L>KmIgh&aY#c=j~|ZPyyD>%rd% z%*NU0Zsfv2gZA*{qpN=63Feg*0Ny(6Mo9TMRQzzf_V0UmQB^iZC688r>iTJ-S^AyfW$$7!53+RVD zJ{BCTw$by(KaV~PAp4To$R;~nh$pwzIF)2 z{=~gOj)@p|V%*tM)GxwqpNzR<^X3QA@fcSBq`aDm5mcWa1oX$mU)(m9D$K2x za-va|e&5&&2FoRyVZHG8n=}LbG30rloQ67rb>-mmkK({D_+Jt^xQ`vJ?|;Q1gmlGb?svfFhm5tt?{QRt!OQ+52(GV^7klIo<0!Xc z4lnte@wPgzuA58QEKG~=BEd)81AmM;kvpA8@*J_sJyVyM-RoZ@$ZpMCoBRng<(;IS6z2$G1~IheZN0{y6N%DAQMS%K#la zvs9yKf?MxR!5cq1mGtGXVJ-5AF}n+(FL-euikgBT%>@JpN9y!~Py!vO{fV?3Vt-+` zuaN)3{#(>99KT!PF7!Wq&w##`^H^u%>vEYNUkE)643LJl53-0>y-SZ+V*L1XyBq35^G~4uoNHwS zCZ5uD)fx#E)IQKGqB8)7*i6lLhJXT!puO1bIZl8|@sa zx%S_Jzi<(an|k+E5B;|-@fgVo+&j^q_4KBii+8{9uRTP$N){bek95OM{D7Cw<*9$w z!C8G`Ek=tzHxqiiFW9)2Twn;_=w!P3TESc4xqdg~C5bL&S~B6OS-vwHdGee`3;kHp z^#`VTgExNk!M$tNxQ{tNml}8z{5cP-%x)f1r{`Tt()-JlBDDGz1ZsohX)}TdM#C?r zd4|`F9mp9R|8owNj7|_Z@XrI~6=~w0aVlVt47evpKF%g`zD)e31IiW!Pv&HzOhxFG3GD*IB;)~m+&aN&Iwk% zA?g&4g*xGFM~vUyb2?9QUe_XTur#hMUm0oC0rG}L@b9Cog@U%gU`~S9&UBq?`b3h* zHIHc?Tg;GT(VYxOKY1zQAcl^OQ(Y(Y1)P6ey(#oC2o^g5eTVRdns`Y5@#SsEf8iMP zD@D|2lp0T4_`$|L&Gy=6KFS|!jCsA}2ckbFyu!Z*s7`yg1z~!UGi;d)El0I8@^B@| z!&o&Md`spx;d~L^JMvEW+O~Xnr0J*4H$<<#Jc?u-3%^*Kd1LR?9RWWw^8H4Zfd7V{ z`&`VeG3TlM3vve;^VuO(`s1(Lpe}(PU_@v%*`r_H7WpsLU}Wi%l0#MSzwPb@E(>JH zVU_XkypD?G8Wfg(6s(bHAzj zj6X)IK7Ts;yAq&t)mX~8Qs^@aFf1Z~nA1GfD?xMc?u8MLGi$VRB#y)GiSwmC+snr# z(ych0K$!2#_;FH%>f!^5_}bYMJSdT`r&+4s3I2WVvzB(q6d#7isPhINqtC7(Pad+# zV=IC*f9Ip8>OPAW8nt*m!~b#-T>d=|OQ;Xwj|@UeZW@&oHm#I&a1Z<(pOl2Sz$11qP=7jx*NU66c%b56Mx#Ym%4D?WU{_CfVmc zV=f8#_T!FrR0$90@^`9-{Ov1ex&QC4nnvev@z|M>V*2HfQ;q@N#ysRhp-uTb8~H=r zFFKe>JO&%*j64fA_;z-ee8mIPQ8)spz5sfD_LC1pUU^Lh#+6IaIY>JXVwXVStR&Gd zekf}t`Fc6vTQ^2qn-*J7Dps1Lm=z{w*<*ttV-D|)sJt)e4q6*@j1k{unm2pRSyRK*jvczGOpqO;|H-m_?FL7 z8cuM5-c^JK`3C0{1@r??i4B2U)Ae%(KUdlmv4NDyalNaWD9@xrY2}%oPoZ%)%C^ft z-&FGsBcmvq1z5S%S9QxXhs%w27Lc+a! zok%GF70rD=l5F|HeJ4Ww=ov%}aGtig0iPM-)Ly_}*@3}p*0I7}T3jcS*d9?nvSw-3pDL5Ia^Eygrt_EofJgkh)YStX?LS;fq4gX2i?vRSj^( z3x6MZYQSLilPtMnaNjztj@fU34*3@65yg!nwxPO!qbz*sPi|z%KR>$!{(lHdEadk*0?1OQ5bA#>Edw!-u4x*ePdl%*%9 zd#PXSO)!bva7;%+C`tIJL3YCVT4OO*x&7eZ@aMjN7IMrduGmtkYKobcci#}6ZA)-X z`15`nsX8{?>us3BWhCnyqQ5(Rk2(2H)Gq@N{OJ>}b;Oa*WA*+So+9h$%Ty0~RuaMv z_{AjmYK#>z-tWfac)I;_#}~(OzeE}}0x+%`%zyg?ZY0uaoIXwqA<$O_m4)7D^JN&@ z>@8`k)AF3x;ExH%e~b-v#~AReFZ?zUS;U`hl9K4Xv zXZ(oiy`dLOey%TcU!3=ICx|$Qth;L#p>5I0@vl(f#MjKsQI2ixXv$`}&?D$!5QzCD z^m4^m;P-c!y0Ss9ygNBFC=q=A4T!Uvv!Mxb9`uq< zrInxFIz_n;Gn!EOUh{^1s2Zht;oGBi{`BywA@9e;cv{l~K)ee9I`{t=FLT#=-ADcl@WW-Qj-tn%KxSSYA-a*?t%+K)pgJj>&JV}nb+x6=y}?tm zX2b5w3}T#R%Ub6RxzF51AB4dSxQ}&ZP(>Xt;@FVXL$3{)6ZUsD=Nu)J%hV}D{hWiL zw`7j*`Y_ttphB5#O9q*~vdhMtr#L7sV1C8h!EiT9L$Giwt5LeI)JRpm`9U|;V>%@e zT<{5vkoU^>(aos$>sn())e6?vxyqF=B^h6MA&&eI3%uNMgv?EC>g1>ozIK6uTS?uQ zJ!~a!_Ue)xYW}(Qr^5bTgz1{ycWZ*pzEel4%XM`VJ3558z&oya6pFFIpyN&y38BO1 zT4^MlO!WU1uz63;{VQX}=+AK?QvDT?nD@5%v;EPBNm^Haf%_P@={(|u?^(P{E^*m- z(S0oKEC67sW(x86;8`&bef`an%$!Oq;#l@3Q@~RKe`_t~C%(V+{PU~9mkrKIX_}EE zIo>^bhv=LlH$Zc2Zd%Y5Hl9pGJ~I1A=T)L8fPV_XLFP7Zw|Net|1Ip9p#HNLBd7>$ zKlb00pkEbT7UnNoJ63qs4?Yjc#qtTIq38-n z`{WSIfVz)~qBn=2*ad&=Gy~07L7yx_;4snY9JAB&^+smC0ZhWf55HHSwj5mb8}zK~ zKQ7}=e!$`^ct4ONPuQ}la*13^E8nPm3MI3xX>k+!lR4>Kqg0;+?wN2=I$bwFWBhP0 zDPHrm>JC&s=A(GkaY47ZpdK1s?>dMMqvP@r&9f_&qd_J)b*fD6jADCd6aP)uX~_654{jmky$V5+r)rILg4#E64+3A5}6q$>1;6 zeLPZlQYWjWlIZ@Bk1YFiuLR<_qkdhyRF^erwB9@Hf{CwLCx3L+djoW;$Jk)^X*fMY z;OHXgKR|Z|Xyl&3u?zWjwzLa;pY}Vzn_$jgH!sb-S%`H9SybWvj>;zvwWF#yM?CB1 z5zB18IE6Xp;&TU6oso~s1NDNxQf`+UzBQQrF0*`Z^IQ*4V@iqd>9|4hxPFHBP3 zbYpPDf%EO?7bo|=9g(>-8ZmZ<(#H~C51uqlp_0E8sUKSxxmt)bpVc!-`|IPZBsX&< z{K)nnHkAB(Am)W%acAe6(FpdO=Rf4AZf{VCa(S)6!E}UHLUl+*LOT9`sfAht_XOaBUyzv#_-CA0H)aF6!han(xv9c{SX)x)H7U zC`+zNo>XPzOu==7tnz(cWRPrQY3B@%kE)G43u({e-pXaO>k=<| zQxJ?RMxim8jg?oONiZyBOX@vpa|TuPtTTR4@us?dD~Hj^UP!L1H&}AIr{O*}iG?hW z(5Jw%H85w9{IEYp5>gOed=s0hIVZ2&)bE&r+)j25j`gBWJowl>nn3ZKf4(JneH^@m z``Faj0ndM^98be|MzQ*lYZ{}V$gT7k#@h6%$*;!PNRklvVDqqi3ryVj3vOwp4*r@$s~Ejy)=*S=;X>5n!F~nnLv$$OVp&>_6E_bRRLT zLw~dqJ>E#@=aLz4i|0}DHRG=sYsy2AblmLUW{0TnXUIVHv4L+X`%_g{`Ujpsy!7x?Z;p$s-#VMQjUcdlTygI!hm%FK?0eyS;G^ zNeu9%AgQm?x@Ez5h@kDCLuD?qE-#0WZaO{LiodSG@y0x_5Tt zAK1_QsmqVrTyAuhVzm!lKIb zfBkh0%|AD2`M>_U|M+_Ucm4Z+{d0AsmcDj<3jgirSn_ZG_HCsEBpN ze@$DZpWmuk`s;tT5BzNYcln?2xBvQm;Q#yez1^g*tIAgW^*{SL8tyS)|33ZopV#SC zU>%px_!mQey=oY1PtCe?`>y%#zZ=7pECyqZWQm%SlYX?My`Fg66<+wem zwpFW}ud6z_&N;Pd@7fyX>#IpF=b~S=tXa!^owaC~|C_0Kk7}8(w>Ak!Zc}aZb=RQ{ z;U$kZNvmVN{yKE#*|Z^<-Rhb@M_qcERQ2!k<-Rt5p0CO7)A#cmT>jepx$3E3c1b<+ z=c`WvWwx9-J*>X@bJnNy8BURPS~oC%-UhU!>X8!39~+oIcSAb7q|ee{jy5!Z{zmkG zeR)$GneRg*D*0pJwOGH#=KIl@>>VB?9jR?^zAx~f?TfBh<%zxd{(#Tg?ajIoTbr2g zQ&XBLLTTs<Dmy``nVeiVXRpSwTzl{cc6~ zyVuXZ+@qEGzPF+j0ra;r-~U!r^4AS%_FuF%KZn*d-#Ve^#pKrJ=h2!Pd$p^aalN(q zxwN6Zb3YU`Bq-nIxo#u8y>rXjn4eP{x>X}Lb9AY;=I7OxVu$qTS3kO~`MI?v%N1p- zojKRm{QMkf#_wl-ABFr!{TxvTaE|LD2lMlEplz}KdB0k;Ge6gM1aMD;CAA> zRrPW*pBE>}TR5rlVd#SNxp5-9+iq_ot9LY?pN^W>k=@aJjyh6@u&Xl^4rjz-cb)s}>;CC{gw@y@H=Z1L|Z*?-C zJA=Oe5FfUui(x*02DLKUwFzBmn9rd>Lk@n*EK!`y=aF=d*q+SilIUg8L;W@lC-eD4 zTeJSMw#64ipU?cN?L@gf##RgX4S5x^4-oYo9$~f7va|Wzb|yQiQ#+f_Z)du-zR6kt zu+HXl+?iJXRvxdov-v!Crr5upe`|HJv-wzj8mpYtws z!e_2$ks)2o=e-Nf7&*$(cUBkkx$i;&3j%7dJJ!W~{=3lEd!0*KzUyMHgRb;cK>uCM z_0W~JeYU)`Ca|lyF1pf~+68+*Pwi^1kFMm>_1IFcLtV{v(v>QNu9~p=RabMpbTfTC z-OP2MpttkyVBm0p0j%2 zb2ZnqE9G&%r)>{&UH72AeJT%m?b^d!-#y4K`dyD+sXfef-h*yWz25x0bv?}W-h)S^u^ zJ!$5EhVvI)>uK%}Jt<&xX-N2cnfpX9`uf|aVJ=25bHC_Cf9yZqcVS#FbKmGi+wN>^ z^L%M9bN}c?=~gqp>VB!0xsUWxZb-@A=6=$fD!BUo{>-trxv%u5D-j*gzV2=AFTH8W zgs*nY`>waS&-A8Y>pm_1<7{tpzv->{okjbY`%WKv|L4IGa~=Aa`%fP_TydGl(}+Ii zKGcUMwI17{^TIyne${mM1dw8UuxzF{ZSJ2gTeACa|@A}i; z$CfXrHR^Bfd;KY|Y{Aw00sYPWuRrx`cI<%Tl>X*E*q`j&R;`?Rpuf2v_NUvdw|LRt z+!x_v=(&COqA#HPk$Vq(QUe+^J8ti0?vrk`XvDnl|LW#u?w4+qHM*2-wLxy?zUfAx zlT#5z>SperZq)PJCm&*`xtaSY@}++q7_)G-o4KFD7k}W_yGIYfS0wu?{Htd=`8>bw zX6~|*Y5$8_&fPIT)O!NvNLDj8#x!s@_g!}yXJhsC0&+L^Uw4YE zmpJ!`zq`2)yGu?ioD1fD>`rZ6ebTE=ayR#7=wAGe|J8N5ySYEZR~OMfH2NpZ_hp}U zr@Nz8UzrEal-@(!g`W=)nYnMf)0%}7_y17}d~&(RdeGE$A6r#HUtafd4@%euXSt!I-iG5R_^&8w5hdpV9j&DgXVNA>^!HKr+FTDQmS|OwgWXh&2zz% z28CT|_@teuc|Lej*OZ=%Y~4N0bHbAvNPdy0d0u!@nfdlP!*e{%bHkIKuU=F*YmujU zet6P_-Q|Yw-{xtaBc8PLWctnDPkWl@iKqD5ZNS0MbH$Ug{s=nK$@0c27Pj^tu=n?<7J*Z$S-SI4_0h1^ZY^I96xQP3@`H>LXL+= ziBZn;Fn`^PL#fAp8hY=bk9mIj z&|onf`k3da4|RRCq<8yQKIVDqOAX#t+&`q8uX(QeQkl{@ttQv^HP2UHdj93Bt z^PKgSJkGm*zUF!BOFKJWnp8I4*F1N9X>ngyi*^%z&GXlnvIgx;2wvuEp2NNr8q?_E z#C^WzdF)HQ1XSj0p3A<}YTa+5E@Wwsri>^V*ND zA0E^&2wX%xxBZl};pJzZ-+r|0K2_Kj-|zXkmi7?-yY_qj z{uk(NRumAPW)scx#v9Z^PK0t=gzo+J}9KFJ^l|dAoqQ{7yZ5) zs8CuzDc{F)Jjh(td0u1nlIvl<9s#}NeuR$$y_9p1j|06F#;iN6KUnA!d58GN1H8Sh z@^y9JgXEyjx>BBxT#XN*AS`<6vBrlLA92O$?FTg9s#{%_>zwUz2u(G$AMl-XV#tF3eYF?C;7)?-)Aphd3~U( zt>(H?o(~s|51}9|ddXGe!-|j6s^-I%UeaZdz6X8KUVTj)$2k~~(@POwTb~b|UoW|- zdY`g-Dc~Dx{@H2)y%cR8VzYDbI(y z#)nYM7QIwmD8L3{NzZ5-!dKu#}ZoVPw7I=^13r|Nym>ZOQF z*8H>80(!~#10M%^Dfj{(2YSgPlaGTw5qgo2W9MrxUwM6?S9M(}&qouD522VXddXAc z!-|iVD(6G`z6{xyX}`NdtW8~Yjo_eP+N=L*<2VNca=OZc)(_0m`E`})e{w%(RV$vq z1bH=xmHYj_PXqFLpq^Nw(_DmG#gi4xsR-{UzRzKbKT2#a#kp0o#)W)A{OD7}y3+fu z<(;#}d3;NJ@AJfZP@KdRTJ^18%J)ph!s{?F#?>sR{!7e4Nl{=d%0 zz0&_z`8YVAh2G%f994J9*Hs5q*Ol^ocx!wJ#ck35T{S+e_%NuN4_mrE=N9RE&<7pW z=d^Jh!+`Srw707F3#(gv?(%g3=oY_wd>rT&&pUh^=$5RTd>rgo?;JkPF;ykrsaWaz z7x<{Uu9W9vfX0VV+!o#9tMOsQ#}JkCA${F4;&;;T%zqGTOW%0^NpR3F9n}xDaUH{e z+;z(=T0bx==f7_0r|SL8>MG+yzHR|sWq!oRfvyV8<>NqCc|PFdpie~n#m7P2*xM?v zBm7leSIYAdpz$FTwMAD=(D<<8BT(ghNb9QH$E4r6JtNkZu8PPbIOv!5?t|KRj%7ej zS9#Lq>b(=4gBfMQzblAsQc6d@NQuAJV$Y@E_@S0Xp(K7F)V1w-CWWzqEHB)W&lx z19G}5l-3W-&iQp!sH*oftE+sA@_&a0x+p#)lOj5h~|HT31CEC;cwH1hKYsm7x^DLBF(jAJoQk zECX`7Dx201%+C3BRivu-GpnmiW%#-UbX9s;J`QwMSZO{Ebd^_0J`Vas^jmx!)Q!EZ z@;V|~)peyjAGkjJ=7W#z8LH_Xo zZ*MDh#X`cMkaszqTmBT-e+MgvWB(nj-27P`Y_7uR1J)~}Djx^)j;PGX!FmNV|9+dD zFRYi*oqs&`efIK|*L|rfKd&qO?=H+5A3`x(bnr2a4=X;>Rn3PjeVgGy`X2N_d-XMK z9Oqy_PT#uMv_2myt#64waM9@t5gvl+^=|6w*z4cIA5hMJWYW)XfMY+;`O+6ce>TB9K z&cT43?hK>%ZG%}Vtvi+P<5{ZSr|fk)zovXW0(vR%T|N%3*Ol^oWNUl~MQzbbH#I)2_{dQ?AJX5;7~doPE~6Q-wse(G3xb1w zY41L$jptYflV;e8EyDD&{YvF`8d#3-p%qt`y{+;(B3IRQr92;xH9mx*w&N3Q^$Em3 z9^mb5mDdq2s;(>L`Eb?v5Q^HOt4eEpSn=Veaz3PWm2YR#?}ED$YfD!ddJx>JerfMU zsEy}P2IO>A1g#&KoYJ}qet#BPh>Q?Iud`BD$6j}hrY~f9k$MFj`#Hi)U+|>+0C4QS z$fPf1_O?D=9`)TnB5}yyS*`Nt%?hgSi|lnjQ&0Xnf<8^}#m9j@4Kwg@pijNJ^KsB` zqd(x|994J9*Oj}f>q>b(s%v}*#ck229vUB3eAH7pAJY1iJ-^!0r_ny7KSIBBR6o?l zbqoV?`qYcjXG-f+<@>!})%%&%Rjvd0x&?HV`#?SpbX87YJ`QwM7_;tdRYIT0>&HJH z`#yX5%GXsBRo9jBe0XYn2*qsCRV_6>toZO!IUmxx%4ZPicY(gd+R{~d9}^t(OMCS{ zZ5-!dKu%YM(fWZ|I=`;!pz8h1>MFmXeBA=ND)2Kt4s@0Gr+ggfsvKtBVg12EpYR#N zKOW%iZI#y%-m0!E<@xBU@gWqoMOPU#KCJlYt#Ur3b(L`#>312!iM6Gxd`1!+^hanL7>qxd+e z8+%*jb;JNw*Ol^o_-cFzMQzblLo`0D`0!IXAJV!?HnfrnTy$P^fRJ$O`rUgugQEI=+o>8 zd>r&!Lm(d~H}5wcSH7+SR9#of^D#l=Lnva4J`L3Pu;L>~<$Or%)97iW-=%*}tSx^8G$o)%%&%Ri;^d-2%EQeKsElx+*M~j{{xh zHJy)xJ`p{WkAu3gw^hEb=BT=^l;_L%@nOYBsLJ_})>V0PNWXKRPpmCn z6&*rw&@b)X2et7W%YdA&@}l(vvvYo3wMy0dnblRUi}|_*bd~!OJ`QwM&H_FTbX6F$ z?y&w~p-<#3$*XYKyLl*Z8pF!=!RPq;-{XE$Md|>xi|b zt0KY)4*I3N`=Bb8ZC1AUsk zk&gp?8oGgxgMOR4iH~FFYcF4UJ!V#QT`AAUF^vzQm@WD=UE{-wk5ek=Lt3A*=S^Gs zG&hR$N9dRK>VMie&cT43J`JV13udXbK2^ToXQ+BVv)BE6ck*=$=&FESd>rU1uN{0G z=&EdH-C_N~LZ2{1^N$C3dt2q}>YS?UN_jpqH9mx*w&}g#0bP~8pN|7w6=vk)Kv#Li z@^R27qWAJ~P&f9r%Ik=1Ro9jBeB9Ld5Q^HOt8z3xtoXREaz3PW75lx6EnO8|f%He{ zm-g<1+IWs-Ku%YA(eL$OcFwP>JnECV{*QbQcn*{ftbnyOP}l8SJ`QwMP7+@S!BN7P zb+;Z>r_<9wUNZl9?ECEHE3YH!sk*L|=R>b@KBUi^9^a82;F(J5TCOkp(AS}!mG6tv z^UJzS=9ia6tcVhS+X4H#oX#zON;Fl!sO8)tXF0@#Q{E5Q2ChBLp zlDMN*Q~C3uyQ=#g)Rh-qkgT)TbBAG4~-9@m@T@qp2mk2A9|JZA^kmp$G4>4d7mfNmOjnMBsl1o_UeDy zIL^U?xF=U4{hbd{Ob56sT_b(OcO_cN=jLa*_43+Sqd>wFyOs(_#QIM7vYSNJ&S6Tw&c zIH((YTjg~`S5?=Q@_ZOHK7^vS=&IftA69($sGJXJU6px*^t;?&h_$7wf`218=$H2H zgW7nGWk60>x&3N=-gJIlH9*z-nblRpu zZ}E@EzRzC1@;bs-)peyjA44=ggkrYnDnE@6D?a>H&WE(F(%&Wh&hR_2wse*I1A>Eo zX|MjLjpG~)$myy8T0byLrF9k25iUBfB4h+3{X77_17klQ_)wgV);HkTdJmwu=trck z0hdAjoF^n6LUDO7tZ^Ry65snJv5>#BTIJ810d+~P>il<1tUe9-i@%PbPs1MaaiCBA z{^a98pSu3R$3edh%;n=8Rd>qQ)dW@7mGXQ9YJ3RAZPBMe8Xs1C1go46X?@C`hi&Q8 zz-OdCLcerWKh(x`3Z+{g*8H>80lF&ZA3hFrl{t@( z16}3EtUEg{^ofkW`Nw15XD?s*x(ZQsT`AAUVvP@>m@T?0RO7>nk5ww?Lt0m{*DY-6 zstln*#0T`td`J7={}~44bd?`--OKrPRhX*xGpnmST|ntbm!g4&y^Hd3psU;p^KtO1 znOS#sbUh7t6oGfJ2*>)$>xghw*Ol^oL}+{nC2rAGks2RXd_=394{2Q$T#WR)2v=fl z=_-$s1gCdwJJd#Z5Cd|$%1rAArse#)YPYKQGpnmY-y-`G_-Czw1|rJvaiFULO7U^< zs#^(o#*RpQJq-t!=HsN_{pO>}>jq>b(;x#^mGPdX{lg5V?AE_$mLt0m5mL>fz zw;ZvybX9ruUBHx;)>TADxacB^kP&?7=K=U#8Tb}V8Q@uNX z9Sw9ry{hnWpif;Z@p15~sXRQBt{6QHyI1Dpq~HDKqsrISF;&-<@_eLgdW7ZwU1FNS`GTwoAz$?ySmDdqBRb5xg^O2+RA(XmB zSKZh6u;L?E<$Or%Dvze5-+8}BtSw!Y;Yo0M=V*)CEbPpHoUZbt^#jv!eqHrg)%%&% zRh})$z6AbRYoGz|R(u@jD!1l*9K32~)}0+!PXit;;2kW&vA*&;B2U$Ir92-mG(Ln9 zx9BQeJyP-Nyibnu_2Hs&KBRS3aBI@*Kk1BEDA_ zVj+KLwaWKJS5@~#R-b0R&tFFaUD#~I$ALaIb>QRRRo`~-OuBOPG@Ra%kCT4)n~y4A zSEW^5SIYC@rtu+^u|=O&(D<<8!(HWkNb6Jf{Ax>|rgtU%5&Gqu?|j+_&cuM6KJ{hv znbP`H`F>wr)%%&%ReA$ow-{&bg>%4=;@mp^PoMs)NRd6(8Oz=R;aoW%MWgE@vRIwsckCV1m=X`Ie`R;Dijw z=_=Pjq%L5}&abPws(L@Ox+?1vYyM#!z#8b2oKN{U&{bw%J`P^>W7ZwU1FNS`GCqcP zz$?ySmDdplRo9jBeDv1%5K7&mt9&#*toRt9az3PWmB&!h@4SZ*YfD$TjUYI^bF@Wm z7ItPpPFMNS`hn>vt*eNRaM5|YkP!^@IxGCHjJ@vaOL5Wka|7Vm&k=zXmp6peHQ?BN z5lV3pW2|xM)XyGE;*h_yTIJ81zV%41l%Q9MN56XJ%uiT-8a#@>js}`c=x9C;^r`Pi zKJL}4!(Tm?<$Or%Q}+C7 zOP>aeC;bunr5#$IHiQ!~Ag51tm9MKnRo9jBd<1EH2qkXORlyn`R(#A+IUmxx%6$sy zcV5$owWX`lg9uLV*mkIm?jQ!_bd@iyADEW&>#7h{?`Kw5>4V9>1pZlTpaHL$d>rU1 z*Xev5ylP_BogG(C1MV~69W27JzVbR^v8wAzc|JllK736^RsPZ}@Le+JpJRgx7A3_;hbXBy*hZP^YRnCXB zuF6--+ar{MsPv~EL}RpT;v#*RpQJq^39}*Hyf#>q>b(Od20T z8C&#es>X*EA7+*FA+1jX){uS|8b+)wed@NJ;Ph|4&y)JW?GrmVC+RleUJ zQ}upkbye_2vM+&u)*5IabQ2#3y2^J0ANT6jb+4YWL+1N>8Vv~N<0Ri~hoJIxm9FZ# zQl5`f8XrO(TXa>1#)lOj=Ty#zw603uO!{5+7GiDbs(@_-r?*4T(}r+92IO>=ZY!w^ zn6dNgs!UbyXI58bZnx$i)&Z=6KFQv}$APXgMe=d*sxPzdFdkSveUcsp?|@gF!z!;M zE~&b%l;|t=@nOYBw#xaC)>ZC1Nx$=oA=Z|zO5aUzdgo}1+AQqMfSj)K zrS${TaeiHOQ`P&K)m3^U*_XgSYYjBuwU>_rUF90f$HA*6X5HCw^)%of2k&4Jj`fw- z5jm=^E9LpPukj(2xJ6gxYJ6Dn@mS@2Nb9P=eWc%o#S?2wSNRXt_Oo#!E9 zZRu09nc(!!ycx8)y)g#l^r;W69~f9^eX4waE3NAN%<3wSV`N_f|Ex98fah^O4s@07 z2pHBF}r z5}u2%O&m3R+UHY8O&m2TsQ1`uLCpZq#GA{+Tgb#)%EVjA#9Pb6+sMSdWa4dQ;>|qi z3rt?kAYnER3A1rXn2kfiY#b71iHgCf`;v`L>eDx0Ou3 ztz`0TC6jL}nS5Kx zOulVo@@*rNZyT9>+sNeGMke1jGWoWV$+wM6zFsom`$~ zmrTB1GWmMRS0Ulbh4_GSE24ADf9@uP$v0&l z`L7oha3ZE~;llY)%k>UVRr6u%bGy&?gdgp5dwv=GpZlNk{iCI-_Y3>Ig!vNLA996Z zpf6uK0{k&lyp_nVI@UsqnLt}EsF=%Dc-l(FSJ?XB@) z#Yb0F^I=Q3Wc*C}9`wOC-_f)YoQVOs?;G5&Sf3A-{=Nb9fuSg2BPW%N2cIw4-y``^ zoHzYG4RGxDYrz!fno7P$1DwZq*yB1M zC;jd>A634tdaJswl;^`o<3lK8i|!nt@nOY>ud4a5r91O(lD-Fh@XdELZ3JgxKu&jt z{bqeWR9bf`-^YijdY`g-$uGy6f3{`}G!S@~j|08reVdPiS96$kXUEmkfX^Lx2a9m5 zuY6tksk*L|=fhv)Lnv{JUJB6ou;OEa%K4D~{jl*K>313TiM6Gxd>#;--m&da8{I(+ z$myyaT0bx?=hsz%s@~76t}_2c_9gJoS_2JaJmlj*S4I5E$HA-Kf50<#MB?jd*qF=5 zNx%EeN0rwRL8`7R<@pHK_z=q2qO0a;d|2@jqH;c@b(QWh>31GaiM6GxjL!&8|K?ks zHi8o}Ag8OmY5l;IonKciR`q^nb(PycWM2aRtToVp#|u6VbX9I19|x~SFze2atB1gI zcn1WW!z!;MLRDQ?%JZ>G<3lKQi>?aO_^{$5T;+U7>nh)WNxutzNvthhr7Kh-zahTr zm(I~1wOQDS0Xbb2LF)&m;rzNPLe=}3)l~s5WM2aRtToU;a8W)Ebd{knA4j@{PM6E9 zJ3B7)3Ev|8Worq~B$_5^GCW zMVBHt=$H2Df7&?C!GN5u%BA%Kvs7AFfsXK?Ka1CwBXtPBoA;r9V0jYvqPUQ%);J^e zGpdug55;BGwZ`e{5#OT$u>ln4+0+{6Oa0*YNIZn%LR(woOw`ZxB5~l!-d6eZX1uEV zBGi=^T?p5*{Ph8S>h8wJfj-SC&BuX04J*mVLBGv=i;uH+J;8X&*Of`tb)`HXsTvwZsk7Fw5Lt3A*=XG29G_L~bkI*lnKWX;=1_N^XG>qy(U_ohps(imsSM`2o zb(NnxU$=m+3arA%fv)nd#K(cI%3;+U6oOXj{{v5QHzfQUFBVakAps8^x)&5ZtQK9*AZE&t}EsFxT^6X6tzWHWovv` z@o`h-d`Rmm_Io2+y2{v)^hfBI_U?n)c#dU2PFH!;?;T-w&abO-RK1^BUFFu8uUkM@ zc{JhUKv(7J`8d#35zM;7`h$JdCmQjO2Y7p1<#oh;Ro9jBeB^3;2t{qtRgX13toX=N zIUmxxiv699EnTH+M*8EcerfMUsEy}P2IO>A1pS>BOwRdr)eBYcXI57QwB+j+&{e^$ z_&Cs2hUR=6=&D?1-C_N~LZ9$$!9O10?QNCU5xNE>2X)?$S9v~MG(Loau;?mRjSnk6 zN~@d?Xl@if&K(BlJsq_d#tu$1)(Nt8$s&wJWWwh>md4nP~dv%f<4a!SDaG zsjs_2;t|B?^qok(0?vo}fn7-4L~$WKt#L-`XY?lV42sL@Z;jIpAil>SVja6Wwnta~ zyy@0}jH*r@!Rk|2#9v3yr|#Z-9O%=W4tyNw)3A1Y9Q50~j(nW$3V1UJ)9M-@R(yDC?Qfq(4Hxd^6onJF2rXAg52msNRElE3HqJ z@Avgoy`NcK5tGa?cE2p@f^#5oUY2D*T-OX&abPy zRK1^BU1jde*Dau{GWzjxpsON2;^RP9dH3PtpidZm_&BH=dt2poLsIDeNY?Eu?)!RDsSfdMCaF4y;Z%RSzYD! zDPOmMuJRbd$APZO_2uJ0S4A-E&Q|BEKJf|vc~t3 z_^{$*h|2kp)>XbkNxusoMyxGer5jFgull9E8lX0gQ!pT>t0HLqz$BetSNW-WKeM_j zz@M*MKvxBi;^RP98AkANpsRA3b%*r_3w^?OB>#ATx3^VZNBFC{u9W8^K;uIwYKyL# zpz&eFN1)32kk(bE(WKvH1`umYS4EE}IOv!5?t|KRj%7ejSLM?Bf!QgotB8(p(PbAS zBY4u!1Ms_k_VYm=#f8%P1{_=OZpF#*^ixP(1I~x~fzxQcQ(VX_Yn+k#8FNS+@^@CN z{CP7-)qRoGr>>Lv>j?VPJ&=zBeVQ|Yj{|)gHja;jew#Ouk8@PrDPLE?s;(>L`Iw{e zAr!YopN43BSn;t~<$Or%Q}#S;OP}Tik^Tt%(oy|T8`m)m$m!ECs^ef*O6ybQ`+caY z_cN=j{DS$q1$0&5Og;{DmG^W$4s=xxv+l6|V4+X=%-|mn@b{s{fj-hEIT&#?^1>8c#&x|j3osz_DuXI594 z7w~lp=&Fo`d>rVii1~aR=qm5Id>r%%V+bGTsH#?8M?|Z-u9W9vx5kH1+!kGB)cCOC zBVOfvNb4%yV$$zCmJ(}AR~eTP9P~>^^+Ro3$1otLtGsFbz^t5KSD943pIKeywvw+~ zKv#LJ;^RP9<%aTcpsOO7b%*r_`>Ic@;2#h0_O{CFh*VYAmGXR;H9mx*w&<#38Xs1C zq^q0{XtoXR3az3Q>DSIBarB9=`k^Tt%@=fix{>DnBD%w}7q++{?#-uJVrM<3LyCFzXKM4;K1_PaOYvfVa0*UPt7rx~`Px zJTOb)`HX zt{NXgQCoCXX^jsnKHOB!hqSKJrILQR9aL_O9-3PVt9Ls>5uJWe!1G7_F zSHbVpLW`3T^z=F_{9cT`?ix*TA@p+t;MmU*W{S&7A$1Knc3)&tT<{5NTr~C5(@7li zcUG(Xd9y-8lI#D5KJ`7uUq{fV0mu0`(5GHU_&Cs~*@yTz=(mQWe4L}|PWifWS9M(} z&qsBQ523g%`qV??!-|i3D(6F5pR(syTl&=S1?i8_FCEnnwQ(K8fSf+fX7riT`c(OT zuUGYcX1`B0eZ|);psUiq=HozDg?-7#fv)m8$;UyTh(5)~Ii{L*I_2xCiK^>Lc|JTf zK7``7=&F_)A69&LshkgKU6ps5^gH*n#M;tT(ccgp^h-zeLv38gFd(O^ylDNvtejt0 zbx`$wW_6Y8dA@D|UFDw1$APZOImgF=t_ow;9o8Q#^ohK0`Nspiy{+;(!dumKr92;9 zH9mx*w&*H@#)lOjy;aVKw65~`p7guGi^ST}Re6^P4*I3N`=BBAG zUyTo;s4co`h{lH%AATz5Lt0lEe?xF=U4{hbX5+mADEre zx(a@$mQ$RJkV&tz!tcu1>#jm0%YW$U=LW#BpCjBUE`;s_z_I(nlj1yXk@^Rmf%*Y= zNF4HaR;&DZ(_htnk=3WV-}vijpbP7ElaB*^nw`zZ(X!HoUgzWVblluu_&7(^o$_@R zpz69(o{tF{A3||k^l6~RhZP?|D(6F5pR(syTlzFNhxAA2myYU(+PIEkKu({AGWtwu zeX4xF4_5VlW_6YCeZFo1T@~;L9|yY1>mDBmx+L z`3Tqe5Q^HOt0FW$toVpjIUmxxD(@NTcka)LwWX_~{~T zs;(>L`7mmH2*qsCRq+}hR(zOL&WE(F@+n06Y+w;$ZRslSVgv{M(q8>f8^<{qkkeIR zw0>ZgO6w}3BV2R_dO{DT*ID8BV(fKSKZ?twpBn(jevZhd6At{nSpGA>MNr@T2Z;yM zr>_XeTJ&{Gpnm~<@ve=bd_5LJ`QwMwi_P@x+;`ecUXV0&?j=s z@s9_1dt2q}>YS?UN_jpqH9mx*w&+ zjek7A+uJIyBeGRpSIYBoQ{zJ@YKyMQ(fF|9 zIOwyU@A7f9taMq8`8Z0l&ig$+&QW!zd|kP!x~`PxqqN3{P}~-M>Zb8w#YY8|^C7KI zBbt+bXKqQXEq&_Un&2oIj%tV6xDH}KPM>Dc`hjUFtxuKj_wK6R&#bO8w&m*<16>$% zJ3bC{RcISN&Xpd|vlSl)eImk(kAu3gw^hEbs;j!Ll;^`k<3lKFi>|7t@nOY>Ugdm9 z>#E%Lq~E!{PpmCn6@dtjl40*QsEy}f2IO>=C#@ftp7ZOfCaT`gtgg~^;p-LyT^P5n zd>rViY;Qi!l^!pYS$9}}u+S%RJMoVPczavrb%dv?>q>b(T55a>EyA5jNIhX-CT@^~}2d3xzy2@MC`K+JRiQj$;zwq`}V>@L5jbf z5dSM9{3rejsbH+E;EVsUF%~EK;`i2UzzbMGJYk-FUR1dCU%ia@vB_ur))|rL_U&rlcl@Kt*cqsO3lZs9^Ti>zsw_&L1_aBcgw;~G7ub6%G+iC~U@V@2Z zHcUuB!>|9=yZpfvbooq`745HwqlB1!C3Zd7fF`)E`Nq6A4RxJzdfSUitMRelD%3c0 zYb~zPaLLTIEz(ehdw1*RE{nq}|319)o%T^^y8DLzJ}a4mrnu~_(7tL4Zv3Q)>#ezS zuih3H6sqs9{1#jfeTjPq0QHCtHbgdr_J555$1tG09vY%*J)}Gzek$if`npQ=AfkHHeTlVoT_x;Of`iXXj;VHS zR7Wu&cU>i$)(^}}>FX-wIzlmBt}7WKkp6xRelO1cp3Rls7CnQ09}774`&kc)^Ptxk z0moi%^rE<6x?cdt?jIkDb01Fj3E;e`?>Caf;rd13YI46;;O$LY<@=()s{0~)eJbxW zvOaR_V4yF!`tfnFzF9-~I9krSkWctH=(jmT`8c_Gzv;O0brqoMx>BBx2^t?l5nI0Z z3)J|q;v-1qd`Rn4_Pl9JpXT_J{s{f@P4_+R_|CNqCd5-4eKv!ik>kjJ=7W#zu82<49Z*Qx7UCmK-T`A8;h{lId)D~T} zSmVQrk5HBKA+4(-#*uz!oLnvyCu8Pq3 zu;L?9<$Or%s@!R$-?>dE)|Re{m_cyRFYVn2wecLwfSj)Kr1b-{bADYFt?K>E>MGrA zzHR|stUp-j6NW|n;{o2@R(Ty^R&`w|&&M&1522_nx+-1c z!-|hnD(6F5S4A%+{VqL}SX;Wvu!7*AU)sA5YU4SU0nk+@I*njzv%}u(dGqytPZU6* zLgW|r;=joiA7G0Jf003arHb%BF(&>;kVFv_6*`^h7cNY~mcExk_c?_N81e{(Cr)9B zt}6cO?@olRb#|2QFDS?mkrMS$sd>mn0r}J9Q$9ciHtNA!R#YL~;<0#Cg zv148Jp))3B_-baMubw%>6I*z(mM(mEOZgjG8b_jQNiW8Z|O# z@>Gb-7(RW}gi({m1O?>3tRr}z$#!Sr;cZRI38>gIFG&q_mU`v=wA{4xytpBvgMqj&;t+NJvM zzqW3NK6!HZrxpLEp`h;JPm2vR(s(0Ox^UxVm9Ct?DYGAnccQ=UI5lVWqcGRCJ#*JAw|P54$y5)zoFV?EM|y-+wOr@{Kz9 zaCYhc<~2(}xp80jYO{PVs$ICu&Ys`Ci<{Ny8}RY71E|&9>FJ+;WkQP&U;Ae6)RwqL zok<_oFJeT0-n=;S(_*QpYuue{zCK>qufw9H|CQK|%Fdn9xR)^g-uHU7Z?(BSPA(Vv z)RC4%L3R_-3ma%^1I>^yx=!aqFqq!XJK;h8MU_ zxphA(4ORMgr*LPEmiV)GzHvK!#Ed-}{L;DR$s{zX&B-=>b~MGUI$fHp>vt3N9}PN=gY_jJFYmAuojv`aaQ&iBPi#BW=I5&sC-DB-Q`YV& zyBhiaH|JB+fXZn1-tFhm^AmXVF4w(3Uzved-wX2iUARw&|IH@%$1YooJ2$A(w$$uh zSnmEEZnvku_v}m>ip!iSFtY+r>9C{FlhHwFzs&t6uIpOdIQda3`c7Bb|C@(P@WFRm zbw>T;(B!E3NALfbgsOBrl)2G$G5)q~aD$c~m{6fFmc89{W<2^VdUtx^h=us}*N+$1 zubGN+TW3D2b~pH(_o&^t--Gv0_gJ|IfAefr*8rD8 zD5=$_Gtaz?$D>xXb#3>_5t_CcSZL6##h#1FaIKUM_k;6bDsUXt#ZRPIB@Ix?X!;@M01+V%~|+- zDZaf9xd%Up!d2U}%AE6E8hTMJb#Se+t1+p=J$Q3a_@XN=sc2cVyMOM<4a0Kxulc-& zcxM_D-dSnUvavVfkvYeI?~{2Ou-yGqYW}ujWz5tRoEzA_Ws~kvs9n*&uVj2Ke_xfS zAu}_=%ckLRKQ2!FI=Vkz*xo0u!;y8k<=Z>UO&GEk-`;<7yOu-#^1#qbELF^@-c+2PS;0c;Z8sFAm~w&#dg7eqaigyKhdng?mR| z?w5+UN0nZ)e((W&?oz$rE>)M{D4F}bWJdYD{Cv_ue5UrVw+A$j#%<>rTaFkl`ZrMzQ; z?yf~|eb^NroOc4>IyiUj^WT@C&~ByMulisIDpjZ7#dl+m<6~Zb{jlcOIcT@g4Qrf= zMO`}1b@?y%C=U8;HQF1T^#ZEz>`14&%s|gKMQK^^bqBHMm0;6XlO|*KK0!_BeS#iz{lKt$Vk(;9*1mtvu|)jRV}0$@mlt8UuT3a( zUz>wJ#J4!{-a*tQVeIuOE4JhN;~s|p5VRUUD%!N3U(il`qI}9{rEjI83;Q++J7*@Y zb!__BFNbfzRc}<@ye~BkoibPJI=7|#oRtI~%D(W62OzT4er3A#OF z>$%`hccNO)9}L=*lZsr=PW-3llNorSu1dSWgl@E!z28&hUa^uk zpb80BOPwp3hNdL#Dt6H`620rS2oF1#hzW0rD7SJ-{rz?3;Qb;^SK{$`|Cb%!au@E0 z)GBz`#!{c7Q^Pj2x>tK24&E|6CjN#At?}46qQ`Gx=*gqlIu*Z;#buiG$nf5tgf?ds z9h3WP8>+Yc{^;oOc>+=-s=C!_uzDJeNoyHJ#Hx2xQ7Tkx2Ao$F?qlhKJCRo}Z- zFBWZEAOGd|16SZ`+r=|y3Tj)@t!Rr_BZ}~P=pA%lL za!4#{)!@{SerZXlZuA%BcK3@!)hfj#rajw2>uLMLk&``5e{ zf!bV4?(*WxWaPR(X>nS!Sk$lU(t*d;El0~YexGrtVhVcZ;c~N=(TJ9G+R}Z)$|S7c zTHKUzAP#N%ePWA>zfQq&_p$03S+Q^Vxrw+@k>aUAMfaoj?nxi%zKTFwJKt$Fefd5d zaP~uFTp5pc4{Ul@Upxl=Fl3VFrQv(s@m_~U z|NUu{z3*5)Y~C8wqEFVm=3gH``qcP;PIoq;%(8VC_o$YFw+Pigvtu;XZNqT)L!Vt- zv@jWWJinv$zKc82lYo5*(~Uud?A^Fmiqo%ZfT(u)M#({%&u9{=(fwm zsd>BmD)B`{fx+EYFNxXw*Kx0sR`9aM8H;!;VdhKx_YP zvZ>DB`_LU>R8!@BSQmKz%Cs$8(e$cg_a3W}go;dWHS_GaU3mTz^W?M-Bhk}_e;qD= zKLu^|^ZL=V%LcqO@LY1k1yN{t_TguNf*!4O!zXV-jZ{?U%SP8TI;=-$#oO79=qG!B zy8d??Mqc|Q8HMLvE%9{NX7tl->Ai&Cn+el+uZf-C#*+q z>x=fzz8r<_|Go8A^7m_&~ui7uKP&Tqn3E)NX56ScPPKL-e{Ea ziQn4g;hWG;dkV!g2TWO@rzeUV@rje6QT(s6!}a^F-l}dhohGdUp2Mz#n&xLtj*R@$ZO(sc1~{ z{O!d`PepxV&V1$WyBVzsThQU?oD@{*&#C2ZET4%U&bvDAZ~r}LR$So+GygN8a``$f z1a<54_-}pPL^LRJT+?%%_oFgbypLq1E=0wS4*z-Axn%UL=;JS*X+wn(7uD)vbV(^LfJn|9n--5ApZMW&^KlN+JU=P z3wbNlZ3ZIxQMi9%aQ!pW=I+2{dJMk%pxrjqt>S;BCtps*8d-3 z7Kh9!QL*}VJpEMdYKF?Q(TY`N3}2i`L-mH0*nKK73VY70`s{X_NK}5?+VNe!N=3Vx z%$b|eD++(=9nf*k79$exCh6mojFR1I6z)+t3Sam#^WM$UNvPx!ac3u>F&AR*)w~jk z|E=s=*k8~cPk#P!!L;tXQK3CMyVpJwi8pmhJGngP5GuMfe$tc3aI|_$*W=k2Bk}q7 zdS(vGIgC2jPaHX9N*ZoW?+@r-^Y29q?#x5%eJ3B$`%ZosdG$}93aNP0r4qsw1S1X$ zDBP{d2;-~!Bt|j!N%TD2*FRxrJpSAzFeNz2h(8|NujG;AsYp0krIhg8jR)+#QY0bW zh#1XN|A!hY0z?{Sb>?p7O$HY&;s! z{>w|7+8Ocek8Y*L-AqNZKb&n?tvHR6S9 zPp;^na2S#MN~Yp=r$g>Pd2j&#Ik?b?pN}n|eKrOAo^zdCwzCOG*9aWitZpRwDgOD8 ziC-n-_ot4(FmbsF|97yVVZw|!bag?yTi>rX;Xm@;b92cs;e{D>`W!1_LNRAO9~Aq3 zA6{Dc;G%N>m~ia(H%F9?PeDuS*Ys(9YZuq z%cA@hu1nnBQ1Qzj3YpPcRo3<^A$(3>yXuGAF9#mLiGJ1o@^7;U?J_)@R`OvAI=^Jy zXP1Qek2_l8#MtMN=qs`Pe4mW64v%f|VHXp23;+3P$9r*z&Kn6LaZ~&X6JBwqn&0jA zCUm`R_|8VL`_SlKgSwf|nDBu3s=}q26x8vL+#mf{??Ml|>?zkmn182dx6VypauCIR zIz4oL)_OF2(zB^Mswd$smt&KTS282N!iOH*-kXfO1-MlE5vSle`tR4DzPJ#{-Dh*q zp;^L;neg)Zw;oKJlZuCR2^{iupFK$KzNmg{YT`q8<8Z=@=I(XhPQxdzh*uzz(8P9y z%^x3&#?>#D-xTbfhHFl3aW&+83fkRz%2eEC9X3wu_D*eI0pIie>6P_qC|{1APDUSJ zyVv&a+!Wkz!G?+1Wfmj3`)M{glv?%eXC^c=@lT;6rQ)L(qZ)2c*@M{opN^&XKdm2r z!fopHIF!@fcfhH;skq4xMUR~`C879s`-?t}h(@jNWN*o=mxh;JE!`&jQ3|S@4+ujW zs&%_uwPzX@ZWg*@aECN>Vc?OY-z_!a>4By;&FUS(Yl@1BbP@V^`OHBVRvf@WbBgM^ z_z)hKSLyQV8JlT8kH_)VKk;vW;}AZ0#aBS?LRtBV?ZtENRIZ=%o*DP)U3tWl9!Avp zk3-XU)!U7y8)NJJ9%#lN)r%N6x@iJx_%!qVLAl#-+^ps=bGDiBh`i8!WEKlD9>ziV|aGq_F!`tO~AyY36)kn`aoJQGdAbCP$V`k8+H@ATb^ZtNcG)3U4? ze^vLdhe3%(lz+Ld#%|;iH0-+xgUxu$+aEk`z9Io_t63p@*T!w=mrg0aUteLy`$A@K zM-xq`y1B^bXJb~PoudsEzuIrc7y8X?|HarO^ke#<5|x(i$EA{<*DYP-2yW+qqqg!f?{&9HElS3}qJC5LX#VY{PV%nPi7y%UdKG@wEANg8t!ho*{ISEe0*YT=MHZl#XX7ym#U|aMdO}& zH}>@3h;Nope$=}4QT%s|vBk46Bl>V_v2KraOL5H`*IVWEI*Na;_}s5bwSDMW-ERKA zU+qWnQ+GZ*aO*Hm^<8nZ@q)#ufpE60Rc0T$R(IR}+ij2Fv*Klvb>WCy|B6FzAL;dL zeCQGE_Ia(4OAWT8LhrSh5dI_vRU31$T>7_1@Ujy}H`Z?#gBq_G{PE8fcA#Y~@YW(O zNAYE^ZEJLsVo~Gr^Y-p&vk~QgEN*fXcX%{4Ywl?yx;vzAPuD?9P^J72h(~eloPdG7 z+U-M67JfACVVxMfY?t?rj19-&KEmkTTXT}0{kjbguk=&fZwnvCxWV{KU0QBM_uG`e zxWsoguJ?gkVo2xXIM%%H{?R(oDDgWk=*P++*>|XTLrD zrr}Xs!}Uzz27xj7NB5x4Inn!Z=nu7oB{k#C@hbv1^xcE|HmxJHOrh_0dH%=m>B9cK z(dW>8w>aECIdbuZ%E>smw5XhuafVPOf20|4^qSM92Yj7^H^jxq{=PgBuW_k5;a-P* z_+*hHuC;om;wj=~xuN^9+nrxrVlVE)eV;TIN^c*|zfAIVB6^8FjPTr=fDewCf2HG0 z6ZZS2v2ZDMAKK|wXqnHRMBHk2bVc{%WPGUD!Ja0s-DvYS-Gxg?2k@BGfgkwSO2xuO z@miO7CmiIRR;S$gdei z)^(eOyMFQPzhZwR;Dqv`7 z*028-K9~LXXK2YE67YWwD%8n#+lT+Xni(E7FBR>5H+$65)%);`3WFLMjr;Jq&6WLX zMeRf4r|W^26OnL{Xl!48Y>U(5ev&%aXexKUrc_vBF`K33zG)a-6Ma6;UmVM8mL@Xw29kGj5ZKe{?* zc*>G{{eSK(QOo_@c#aUAk3{7%yN z*+=o`VLvYV;IDOf&cajEpXn0Nx}jsM?0sg&Zy#SZ;_#l0_|EuE!VWQ^C%dNOlDTPk z^t*vG-@^OT_sfYtC=S z-xmI(%sa(QXv)V+zSUKZM|rV#Q;HssD5$risc^k>!41hgZ_xYr!J(g9ha4Y z7Pi^lcfp1zbUOb7+HU;Sj1iYt?o37bm*wiMM*q0@tZK3)26xHdV5w-m__aox?)ZMc zx{q5t*@a*KzS}+jD@FL-5qzHu7QWB@fB)T)DUE!en=bzOg8~od`aMK}iD^$Y1~djV z1~djV2L5Lm5P!E7m_g3W`-SHP{e6Nj{n}YLQ&iE@Bem`WsKWF^uj6Z|%#a~JmJl;&kpT+pI8GjDr z&t?31j6a|8Ll}Pn<1b|VMU20g@s}{Z_;=O{<|qDLwt~L+Nv5DL{vEM`zW8^<3i{&T z5i976KRhkyi+@L~pfCO%v4Xz%cf<<%9*kd`@#`>tUB<7+`1KjT0pp8*m#yIVdd7c; z@f$IIW5#d7_)QuAUB-V;@QVrmL4WpS{AP^bobg*QeoMx0#rUlmzYXJiF@9UdZ^!uU z8NUPLcVztc8DIP(Sq1a=X8cZ!-#`j_TzKq|G@%uCW0LCB4_=6aKFys3&{>O~}3FCjt_(K?fDC2*|_`?|AkNWU; z6vh1~)(80F{wwH<`>&uc?!SV*xc>_J;{Ge>!~TQg!~O#w_8<7L|G%*ni-|{sSNOANa8Uz=!<@KI}j6VgG>-`wx8Bf8cvF{J{Q$*J1yG5Bm>%*ni-| z{sX@|b9~r;@H*^2@L~Uf5Bm>%*ni-|{sSNOANa8Uz=!<@KI}j6VgG>-`wx8Bf8fLZ z10VJu_^|)Lhy4dW>_6~f|A7zt4}92v;KTj{ANC*ku>Zh^{Rh4uvp&Nae+1)?WPE?d zAI12i8DG?&1^1(4^FU-Xf1W5AlESZ{P_J zqHpjS*1U}%L_}`Ihsclk$d3zxMC4d}6pVX$lIvct#ha1OSFgpJTi$PVoEAErxCXD` zTZ;D~k%+g_>BKb=A6CZ^gqFBA;=?K~2rhAr#D`T}$X8q|@nIDg@)g%id=!kg74j9= zPJCF!g?z;|6dzV`AzyJV#fMc~$X8rb@nIDg@)g%sd|1VWe8n{uA69W8UvaI)hgDq2 zS6p-PVHFqhtwh54pMS-t!uqxmhSgP;hzrBMy03t^hs1}77lzeU$@eVlEXIXlbyX$e z!mzq(5^;fMUG>-FVp-{GNW=x2bu}g80?oQw5^;fMDEET-dWregmcWbo){%&d`PP+) zi}}`*h>Q8wmxzn`Hh4WQmX)rdL|n{QFA*2>eMcfL=G#ajF6P@0Ptg`k+5_^^r#K`}S+VHFpGVs7HYDlP=Y+{A}fTnLJ} zi4Uu|5EOG0A69W8DCQQ52WHkzCESlLcYDE;zGW?rQ$-qeWc<-z8^}&TL}4nBo!C(^^uAT`Sz8H z3;FhwiVOMnmx>Gd4v>lq`3{td3;7O`iVOJ;mWm7c`bxxG3i*C46&LdTL@F-i`>9l1 z$ajcTT*!B*R9wjSGpV?c?=Y#jkguOqT*!AgjTbntwGiOC5fX6$t{W*47wFOXzaAIq z(T$Rb3-stlOT-0wbYmpq0zJ9_iMT+IZmdLHphq`OA}-LQ8!r(T^PM0O7xSGc5f}5F z^m@FNnD1nXxR`ICL|n{wibPz@cdA5O%y*hZT+BB}A};3pxkOydce+Ge%y))FT+BE4 z^>}MB-2c^#eA1Y#KnAv8e)qFXKz7w5A=A}-Enr9@nu z&nk(y$p31IxXAw+iMYuBT8X&Gf0#sE%y*qcT+Da<>v8e)qT3)57xN95h>Q7dl!%M@ zZjy+L`EHhoi}^-K#KnBK(6|e=g8mn$uiHxf0)17KKe}xaadG~U5^-_$Qu<3*;ppUKjIvTs*vP_v>--@VY&($Hl|zVqcGo<)Dju zJucFqGrk@dY0&L`JucFz+ehO?sO{%Nl-_ **⚠️ IMPORTANT**\n", + "> The following example **does *not*** include any regressors for removing physiological contributions from the fNIRS signal (such as cardiac pulsation, respiration, Mayer waves, etc.). \n", + "> \n", + "> Applying only a low‑pass filter, as demonstrated here, is **not sufficient** for proper preprocessing. \n", + "> \n", + "> Please consult the appropriate scientific literature to ensure you understand best practices for **fNIRS preprocessing**, including the use of physiological noise regressors and other recommended correction techniques.\n" ] }, { @@ -30,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:36:48.269481Z", @@ -41,6 +48,7 @@ }, "outputs": [], "source": [ + "import os\n", "import re\n", "from collections import OrderedDict, defaultdict\n", "import matplotlib.pyplot as plt" @@ -48,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:36:48.855520Z", @@ -71,26 +79,28 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Download and load raw data from disk\n", + "## Prepare file paths\n", "\n", - "To use as example, we download the dataset \"Dataset of parent-child hyperscanning fNIRS recordings\" from https://researchdata.ntu.edu.sg/dataset.xhtml?persistentId=doi:10.21979/N9/35DNCW\n" + "We pretend they are hyperscanning for demo only. But originally they are different segments of the same recording.\n" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "execution": { - "iopub.execute_input": "2025-07-03T19:36:51.052854Z", - "iopub.status.busy": "2025-07-03T19:36:51.052125Z", - "iopub.status.idle": "2025-07-03T19:36:52.869254Z", - "shell.execute_reply": "2025-07-03T19:36:52.868094Z" - } - }, + "execution_count": 3, + "metadata": {}, "outputs": [], "source": [ - "browser = fnirs.DataBrowser()\n", - "dir = browser.download_demo_dataset()\n" + "dyad_paths = {\n", + " 'teamA': {\n", + " 'child': os.path.join('..', 'data', 'NIRS', 'sample_1.snirf'),\n", + " 'parent': os.path.join('..', 'data', 'NIRS', 'sample_2.snirf'),\n", + " },\n", + " 'teamB': {\n", + " 'child': os.path.join('..', 'data', 'NIRS', 'sample_3.snirf'),\n", + " 'parent': os.path.join('..', 'data', 'NIRS', 'sample_4.snirf'),\n", + " }\n", + "}\n", + "\n" ] }, { @@ -100,50 +110,18 @@ "Prepare dyads paths (parent+child) for file loading" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "execution": { - "iopub.execute_input": "2025-07-03T19:36:52.873183Z", - "iopub.status.busy": "2025-07-03T19:36:52.872928Z", - "iopub.status.idle": "2025-07-03T19:36:52.938378Z", - "shell.execute_reply": "2025-07-03T19:36:52.937450Z" - } - }, - "outputs": [], - "source": [ - "# Get the paths for dyads\n", - "\n", - "paths = [path for path in browser.list_all_files() if 'fathers' in path]\n", - "\n", - "dyad_paths = defaultdict(dict)\n", - "\n", - "for path in paths:\n", - " m = re.search(r'(FCS\\d\\d)', path)\n", - " dyad_label = m.group(1)\n", - "\n", - " if 'child' in path:\n", - " dyad_paths[dyad_label]['child'] = path\n", - "\n", - " if 'parent' in path:\n", - " dyad_paths[dyad_label]['parent'] = path\n", - "\n", - "print(dyad_paths)\n" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Regions of Interest\n", "\n", - "Let's define some region of interest, from https://www.nature.com/articles/s41598-019-47810-4 Figure 3." + "Let's define some region of interest." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:36:52.943056Z", @@ -154,39 +132,25 @@ }, "outputs": [], "source": [ - "# dummy values\n", + "\n", "channel_roi = fnirs.ChannelROI(OrderedDict({\n", - " 'frontal_left': [\n", - " 'S2_D3 hbo', # 4,\n", - " 'S3_D3 hbo', # 6,\n", - " 'S3_D4 hbo', # 7,\n", - " 'S5_D3 hbo', # 11,\n", - " ],\n", - " 'medial_left':[\n", - " 'S1_D1 hbo', # 1,\n", - " 'S1_D2 hbo', # 2,\n", - " 'S2_D1 hbo', # 3,\n", - " 'S3_D2 hbo', # 5,\n", - " 'S4_D2 hbo', # 8,\n", - " ],\n", - " 'central': [\n", - " 'S4_D4 hbo', # 9,\n", - " 'S5_D4 hbo', # 12,\n", - " ],\n", - " 'frontal_right': [\n", - " 'S5_D6 hbo', # 13,\n", - " 'S6_D4 hbo', # 14,\n", - " 'S6_D6 hbo', # 16,\n", - " 'S8_D6 hbo', # 19,\n", - " ],\n", - " 'medial_right':[\n", - " 'S4_D5 hbo', # 10,\n", - " 'S6_D5 hbo', # 15,\n", - " 'S7_D5 hbo', # 17,\n", - " 'S7_D7 hbo', # 18,\n", - " 'S8_D7 hbo', # 20\n", - " ],\n", - "}))\n" + " 'PreFr_L': [ 'S1_D9 hbo', 'S2_D9 hbo', 'S2_D2 hbo', 'S1_D2 hbo', 'S2_D1 hbo', ],\n", + " 'DPFC_L': [ 'S3_D1 hbo', 'S3_D2 hbo', ],\n", + " 'FrTemp_L': [ 'S4_D2 hbo', 'S4_D3 hbo', 'S4_D4 hbo', ],\n", + " 'InfFr_L': [ 'S1_D3 hbo', 'S1_D4 hbo', 'S5_D3 hbo', ],\n", + " 'Temp_L': [ 'S5_D5 hbo', 'S5_D7 hbo', 'S5_D4 hbo', 'S4_D5 hbo', ],\n", + " 'TempPost_L': [ 'S6_D8 hbo', 'S7_D8 hbo', 'S6_D5 hbo', 'S6_D7 hbo', 'S7_D7 hbo', ],\n", + " 'TempPar_L': [ 'S6_D6 hbo', 'S8_D8 hbo', 'S8_D6 hbo', ],\n", + " \n", + " 'PreFr_R': [ 'S9_D9 hbo', 'S10_D9 hbo', 'S10_D10 hbo', 'S9_D10 hbo', 'S10_D1 hbo', ],\n", + " 'DPFC_R': [ 'S11_D1 hbo', 'S11_D10 hbo', ],\n", + " 'FrTemp_R': [ 'S12_D10 hbo', 'S12_D11 hbo', 'S12_D12 hbo', ],\n", + " 'InfFr_R': [ 'S9_D11 hbo', 'S9_D12 hbo', 'S13_D11 hbo', ],\n", + " 'Temp_R': [ 'S13_D13 hbo', 'S13_D15 hbo', 'S13_D12 hbo', 'S12_D13 hbo', ],\n", + " 'TempPost_R': [ 'S14_D16 hbo', 'S15_D16 hbo', 'S14_D13 hbo', 'S14_D15 hbo', 'S15_D15 hbo', ],\n", + " 'TempPar_R': [ 'S14_D14 hbo', 'S16_D16 hbo', 'S16_D14 hbo', ],\n", + "}))\n", + "\n" ] }, { @@ -206,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:36:52.977160Z", @@ -215,7 +179,236 @@ "shell.execute_reply": "2025-07-03T19:36:56.936763Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dyadsubject1subject2roi1roi2channel1channel2taskepochbincoherence
0teamAalicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hboone_minute000.185899
1teamAalicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hboone_minute01NaN
2teamAalicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hboone_minute02NaN
3teamAalicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hboone_minute030.240780
4teamAalicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hboone_minute040.406207
....................................
91807bob(intra)bobbobS10_D11 hboS10_D11 hboone_minute071.000000
91808bob(intra)bobbobS10_D11 hboS10_D11 hboone_minute081.000000
91809bob(intra)bobbobS10_D11 hboS10_D11 hboone_minute091.000000
91810bob(intra)bobbobS10_D11 hboS10_D11 hboone_minute010NaN
91811bob(intra)bobbobS10_D11 hboS10_D11 hboone_minute011NaN
\n", + "

91812 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " dyad subject1 subject2 roi1 roi2 channel1 \\\n", + "0 teamA alice bob PreFr_L PreFr_L S1_D9 hbo \n", + "1 teamA alice bob PreFr_L PreFr_L S1_D9 hbo \n", + "2 teamA alice bob PreFr_L PreFr_L S1_D9 hbo \n", + "3 teamA alice bob PreFr_L PreFr_L S1_D9 hbo \n", + "4 teamA alice bob PreFr_L PreFr_L S1_D9 hbo \n", + "... ... ... ... ... ... ... \n", + "91807 bob(intra) bob bob S10_D11 hbo \n", + "91808 bob(intra) bob bob S10_D11 hbo \n", + "91809 bob(intra) bob bob S10_D11 hbo \n", + "91810 bob(intra) bob bob S10_D11 hbo \n", + "91811 bob(intra) bob bob S10_D11 hbo \n", + "\n", + " channel2 task epoch bin coherence \n", + "0 S1_D9 hbo one_minute 0 0 0.185899 \n", + "1 S1_D9 hbo one_minute 0 1 NaN \n", + "2 S1_D9 hbo one_minute 0 2 NaN \n", + "3 S1_D9 hbo one_minute 0 3 0.240780 \n", + "4 S1_D9 hbo one_minute 0 4 0.406207 \n", + "... ... ... ... ... ... \n", + "91807 S10_D11 hbo one_minute 0 7 1.000000 \n", + "91808 S10_D11 hbo one_minute 0 8 1.000000 \n", + "91809 S10_D11 hbo one_minute 0 9 1.000000 \n", + "91810 S10_D11 hbo one_minute 0 10 NaN \n", + "91811 S10_D11 hbo one_minute 0 11 NaN \n", + "\n", + "[91812 rows x 11 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Get connectivity matrix intra-subject for validation\n", "\n", @@ -259,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:36:58.366588Z", @@ -268,7 +461,18 @@ "shell.execute_reply": "2025-07-03T19:37:00.104508Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "wtc = dyad.wtcs[0]\n", "_ = wtc.plot(use_periods=True)\n" @@ -287,9 +491,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'alice / bob')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, axes = plt.subplots(1, 2, sharey=True, figsize=(12, 4))\n", "wtc.cwt1.plot(ax=axes[0])\n", @@ -309,9 +534,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pfortin/work/ppsp/HyPyP-uv/hypyp/fnirs/recording.py:391: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " axes[j].legend()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig = dyad.s1.plot_steps_for_channel(wtc.label_ch1)\n", "fig.suptitle(f\"{dyad.s1.subject_label}: \" + fig.get_suptitle())\n", @@ -323,7 +577,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:37:00.110922Z", @@ -332,16 +586,38 @@ "shell.execute_reply": "2025-07-03T19:37:02.621603Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "_ = dyad.plot_coherence_matrix_per_channel().axes[0].set_title('Dyad coherence per channel')\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "\n", "_ = dyad.plot_coherence_matrix_per_roi().axes[0].set_title('Dyad coherence per region')\n" @@ -367,7 +643,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:37:02.627170Z", @@ -382,8 +658,8 @@ "\n", "preprocessor = fnirs.MnePreprocessorRawToHaemo()\n", "tasks = [\n", - " Task('first_minute', onset_time=0, duration=60),\n", - " Task('second_minute', onset_time=60, duration=60),\n", + " Task('first_half', onset_time=0, duration=50),\n", + " Task('second_half', onset_time=50, duration=50),\n", "]\n", "\n", "n_dyads = 10\n", @@ -421,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:37:08.244962Z", @@ -438,7 +714,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:37:08.281511Z", @@ -447,7 +723,26 @@ "shell.execute_reply": "2025-07-03T19:39:23.203853Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time for computing one dyad: 34 seconds\n", + "Expected time for 2 dyads: 1.1 minutes\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "study.compute_wtcs(\n", " ch_match='hbo', # compute coherence only on oxyhemoglobin channels\n", @@ -473,7 +768,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:25.769156Z", @@ -482,16 +777,38 @@ "shell.execute_reply": "2025-07-03T19:39:29.103789Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "_ = study.plot_coherence_matrix_per_channel(s1_label='Child', s2_label='Parent')\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "\n", "_ = study.plot_coherence_matrix_per_roi(s1_label='Child', s2_label='Parent')\n", @@ -507,7 +824,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:29.107817Z", @@ -516,7 +833,370 @@ "shell.execute_reply": "2025-07-03T19:39:29.285738Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dyadis_intrais_intra_ofis_pseudosubject1subject2roi1roi2channel1channel2taskepochsectionbincoherencecoherence_maskedbin_time_rangebin_period_rangewavelet_librarywavelet_name
0teamAFalseNaNFalsealicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hbofirst_half0000.1481850.3100000-152.0-4.8pywaveletscmor2,1[win:0.6]
1teamAFalseNaNFalsealicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hbofirst_half001NaN0.7033330-155.1-9.8pywaveletscmor2,1[win:0.6]
2teamAFalseNaNFalsealicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hbofirst_half002NaN1.0000000-1510.4-20.0pywaveletscmor2,1[win:0.6]
3teamAFalseNaNFalsealicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hbofirst_half0030.2344160.00000015-302.0-4.8pywaveletscmor2,1[win:0.6]
4teamAFalseNaNFalsealicebobPreFr_LPreFr_LS1_D9 hboS1_D9 hbofirst_half0040.4039850.00000015-305.1-9.8pywaveletscmor2,1[win:0.6]
...............................................................
184531teamBFalseNaNFalsecharliedylanS10_D11 hboS10_D11 hbosecond_half0040.1796790.00000015-305.1-9.8pywaveletscmor2,1[win:0.6]
184532teamBFalseNaNFalsecharliedylanS10_D11 hboS10_D11 hbosecond_half0050.3059390.49333315-3010.4-20.0pywaveletscmor2,1[win:0.6]
184533teamBFalseNaNFalsecharliedylanS10_D11 hboS10_D11 hbosecond_half0060.5438820.00750030-442.0-4.8pywaveletscmor2,1[win:0.6]
184534teamBFalseNaNFalsecharliedylanS10_D11 hboS10_D11 hbosecond_half0070.2693910.30333330-445.1-9.8pywaveletscmor2,1[win:0.6]
184535teamBFalseNaNFalsecharliedylanS10_D11 hboS10_D11 hbosecond_half008NaN0.88333330-4410.4-20.0pywaveletscmor2,1[win:0.6]
\n", + "

92718 rows × 20 columns

\n", + "
" + ], + "text/plain": [ + " dyad is_intra is_intra_of is_pseudo subject1 subject2 roi1 \\\n", + "0 teamA False NaN False alice bob PreFr_L \n", + "1 teamA False NaN False alice bob PreFr_L \n", + "2 teamA False NaN False alice bob PreFr_L \n", + "3 teamA False NaN False alice bob PreFr_L \n", + "4 teamA False NaN False alice bob PreFr_L \n", + "... ... ... ... ... ... ... ... \n", + "184531 teamB False NaN False charlie dylan \n", + "184532 teamB False NaN False charlie dylan \n", + "184533 teamB False NaN False charlie dylan \n", + "184534 teamB False NaN False charlie dylan \n", + "184535 teamB False NaN False charlie dylan \n", + "\n", + " roi2 channel1 channel2 task epoch section bin \\\n", + "0 PreFr_L S1_D9 hbo S1_D9 hbo first_half 0 0 0 \n", + "1 PreFr_L S1_D9 hbo S1_D9 hbo first_half 0 0 1 \n", + "2 PreFr_L S1_D9 hbo S1_D9 hbo first_half 0 0 2 \n", + "3 PreFr_L S1_D9 hbo S1_D9 hbo first_half 0 0 3 \n", + "4 PreFr_L S1_D9 hbo S1_D9 hbo first_half 0 0 4 \n", + "... ... ... ... ... ... ... ... \n", + "184531 S10_D11 hbo S10_D11 hbo second_half 0 0 4 \n", + "184532 S10_D11 hbo S10_D11 hbo second_half 0 0 5 \n", + "184533 S10_D11 hbo S10_D11 hbo second_half 0 0 6 \n", + "184534 S10_D11 hbo S10_D11 hbo second_half 0 0 7 \n", + "184535 S10_D11 hbo S10_D11 hbo second_half 0 0 8 \n", + "\n", + " coherence coherence_masked bin_time_range bin_period_range \\\n", + "0 0.148185 0.310000 0-15 2.0-4.8 \n", + "1 NaN 0.703333 0-15 5.1-9.8 \n", + "2 NaN 1.000000 0-15 10.4-20.0 \n", + "3 0.234416 0.000000 15-30 2.0-4.8 \n", + "4 0.403985 0.000000 15-30 5.1-9.8 \n", + "... ... ... ... ... \n", + "184531 0.179679 0.000000 15-30 5.1-9.8 \n", + "184532 0.305939 0.493333 15-30 10.4-20.0 \n", + "184533 0.543882 0.007500 30-44 2.0-4.8 \n", + "184534 0.269391 0.303333 30-44 5.1-9.8 \n", + "184535 NaN 0.883333 30-44 10.4-20.0 \n", + "\n", + " wavelet_library wavelet_name \n", + "0 pywavelets cmor2,1[win:0.6] \n", + "1 pywavelets cmor2,1[win:0.6] \n", + "2 pywavelets cmor2,1[win:0.6] \n", + "3 pywavelets cmor2,1[win:0.6] \n", + "4 pywavelets cmor2,1[win:0.6] \n", + "... ... ... \n", + "184531 pywavelets cmor2,1[win:0.6] \n", + "184532 pywavelets cmor2,1[win:0.6] \n", + "184533 pywavelets cmor2,1[win:0.6] \n", + "184534 pywavelets cmor2,1[win:0.6] \n", + "184535 pywavelets cmor2,1[win:0.6] \n", + "\n", + "[92718 rows x 20 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df = study.df[study.df['is_intra'] == False]\n", "df\n" @@ -524,7 +1204,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:29.289230Z", @@ -533,7 +1213,18 @@ "shell.execute_reply": "2025-07-03T19:39:29.940449Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(10, 10), subplot_kw={'projection': 'polar'})\n", "_ = study.plot_coherence_connectogram(s1_label='Child', s2_label='Parent', ax=ax)\n" @@ -557,7 +1248,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:29.946514Z", @@ -574,7 +1265,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:33.123533Z", @@ -591,7 +1282,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2025-07-03T19:39:33.527826Z", @@ -611,7 +1302,7 @@ ], "metadata": { "kernelspec": { - "display_name": "hypyp-synchro", + "display_name": "hypyp (3.12.11)", "language": "python", "name": "python3" }, diff --git a/tutorial/fnirs_recording_inspection.ipynb b/tutorial/fnirs_recording_inspection.ipynb index 200f24af..306a60ae 100644 --- a/tutorial/fnirs_recording_inspection.ipynb +++ b/tutorial/fnirs_recording_inspection.ipynb @@ -17,6 +17,9 @@ }, "outputs": [], "source": [ + "import os\n", + "import tempfile\n", + "\n", "import matplotlib.pyplot as plt\n", "import mne\n", "import numpy as np\n", @@ -147,6 +150,7 @@ "source": [ "# Save all to png files, both CWT of amplitude and CWT of hemoglobin\n", "\n", + "temp_dir = tempfile.TemporaryDirectory()\n", "for rec in [rec_cw_amplitude, rec_haemo]:\n", " for ch_name in rec.mne_preprocessed.ch_names:\n", " if not ' 760' in ch_name and not ' hbo' in ch_name:\n", @@ -155,8 +159,9 @@ " fig = rec.plot_steps_for_channel(ch_name)\n", " # override title\n", " fig.suptitle(title)\n", - " fig_path = f\"../plots/{title.replace(' ', '_')}.png\"\n", + " fig_path = os.path.join(temp_dir.name, f\"{title.replace(' ', '_')}.png\")\n", " fig.savefig(fig_path)\n", + " print(fig_path)\n", " plt.close(fig)\n", "\n" ] @@ -164,7 +169,7 @@ ], "metadata": { "kernelspec": { - "display_name": "hypyp-synchro", + "display_name": "hypyp (3.12.11)", "language": "python", "name": "python3" }, From dcc7b4934ca77a39c3f4ff9943b5cca95e68b44f Mon Sep 17 00:00:00 2001 From: Ramdam17 Date: Sun, 29 Mar 2026 17:58:47 -0400 Subject: [PATCH 4/4] fix(deps): bump scipy to >=1.17.1 and drop Python 3.10 scipy 1.17.1 requires Python >=3.11, and mne now requires scipy>=1.17.1, making Python 3.10 incompatible. This unblocks downstream packages (e.g. fnirsqc) that were being pinned to older hypyp versions due to dependency resolution conflicts. Co-Authored-By: Claude Sonnet 4.6 --- .github/workflows/Build.yml | 2 +- pyproject.toml | 4 +- uv.lock | 1347 +++++------------------------------ 3 files changed, 167 insertions(+), 1186 deletions(-) diff --git a/.github/workflows/Build.yml b/.github/workflows/Build.yml index 6929c50b..62aa039d 100644 --- a/.github/workflows/Build.yml +++ b/.github/workflows/Build.yml @@ -8,7 +8,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + python-version: ["3.11", "3.12", "3.13", "3.14"] include: - python-version: "3.14" experimental: true diff --git a/pyproject.toml b/pyproject.toml index 1a288376..515d59ea 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ version = "0.5.0b18" description = "The Hyperscanning Python Pipeline." readme = "README.md" license = "BSD-3-Clause" -requires-python = ">=3.10" +requires-python = ">=3.11" classifiers = [ "Development Status :: 4 - Beta", "Topic :: Scientific/Engineering", @@ -28,7 +28,7 @@ dependencies = [ "pyxdf>=1.17.0", "requests>=2.32.4", "scikit-image>=0.25.2", - "scipy>=1.11.1,<1.17.0", + "scipy>=1.17.1", "seaborn>=0.13.2", "snirf>=0.8.0", "statsmodels>=0.14.4", diff --git a/uv.lock b/uv.lock index 19d49362..d62f318d 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,6 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", @@ -8,14 +8,12 @@ resolution-markers = [ "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'", "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and sys_platform == 'emscripten'", "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", + "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] [[package]] @@ -23,7 +21,6 @@ name = "anyio" version = "4.12.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, { name = "idna" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] @@ -82,11 +79,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/74/cd/15777dfde1c29d96de7f18edf4cc94c385646852e7c7b0320aa91ccca583/argon2_cffi_bindings-25.1.0-cp39-abi3-win32.whl", hash = "sha256:473bcb5f82924b1becbb637b63303ec8d10e84c8d241119419897a26116515d2", size = 27180, upload-time = "2025-07-30T10:01:57.759Z" }, { url = "https://files.pythonhosted.org/packages/e2/c6/a759ece8f1829d1f162261226fbfd2c6832b3ff7657384045286d2afa384/argon2_cffi_bindings-25.1.0-cp39-abi3-win_amd64.whl", hash = "sha256:a98cd7d17e9f7ce244c0803cad3c23a7d379c301ba618a5fa76a67d116618b98", size = 31715, upload-time = "2025-07-30T10:01:58.56Z" }, { url = "https://files.pythonhosted.org/packages/42/b9/f8d6fa329ab25128b7e98fd83a3cb34d9db5b059a9847eddb840a0af45dd/argon2_cffi_bindings-25.1.0-cp39-abi3-win_arm64.whl", hash = "sha256:b0fdbcf513833809c882823f98dc2f931cf659d9a1429616ac3adebb49f5db94", size = 27149, upload-time = "2025-07-30T10:01:59.329Z" }, - { url = "https://files.pythonhosted.org/packages/11/2d/ba4e4ca8d149f8dcc0d952ac0967089e1d759c7e5fcf0865a317eb680fbb/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6dca33a9859abf613e22733131fc9194091c1fa7cb3e131c143056b4856aa47e", size = 24549, upload-time = "2025-07-30T10:02:00.101Z" }, - { url = "https://files.pythonhosted.org/packages/5c/82/9b2386cc75ac0bd3210e12a44bfc7fd1632065ed8b80d573036eecb10442/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:21378b40e1b8d1655dd5310c84a40fc19a9aa5e6366e835ceb8576bf0fea716d", size = 25539, upload-time = "2025-07-30T10:02:00.929Z" }, - { url = "https://files.pythonhosted.org/packages/31/db/740de99a37aa727623730c90d92c22c9e12585b3c98c54b7960f7810289f/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5d588dec224e2a83edbdc785a5e6f3c6cd736f46bfd4b441bbb5aa1f5085e584", size = 28467, upload-time = "2025-07-30T10:02:02.08Z" }, - { url = "https://files.pythonhosted.org/packages/71/7a/47c4509ea18d755f44e2b92b7178914f0c113946d11e16e626df8eaa2b0b/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5acb4e41090d53f17ca1110c3427f0a130f944b896fc8c83973219c97f57b690", size = 27355, upload-time = "2025-07-30T10:02:02.867Z" }, - { url = "https://files.pythonhosted.org/packages/ee/82/82745642d3c46e7cea25e1885b014b033f4693346ce46b7f47483cf5d448/argon2_cffi_bindings-25.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:da0c79c23a63723aa5d782250fbf51b768abca630285262fb5144ba5ae01e520", size = 29187, upload-time = "2025-07-30T10:02:03.674Z" }, ] [[package]] @@ -106,9 +98,6 @@ wheels = [ name = "asgiref" version = "3.11.1" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] sdist = { url = "https://files.pythonhosted.org/packages/63/40/f03da1264ae8f7cfdbf9146542e5e7e8100a4c66ab48e791df9a03d3f6c0/asgiref-3.11.1.tar.gz", hash = "sha256:5f184dc43b7e763efe848065441eac62229c9f7b0475f41f80e207a114eda4ce", size = 38550, upload-time = "2026-02-03T13:30:14.33Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/5c/0a/a72d10ed65068e115044937873362e6e32fab1b7dce0046aeb224682c989/asgiref-3.11.1-py3-none-any.whl", hash = "sha256:e8667a091e69529631969fd45dc268fa79b99c92c5fcdda727757e52146ec133", size = 24345, upload-time = "2026-02-03T13:30:13.039Z" }, @@ -118,9 +107,6 @@ wheels = [ name = "astroid" version = "4.0.4" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] sdist = { url = "https://files.pythonhosted.org/packages/07/63/0adf26577da5eff6eb7a177876c1cfa213856be9926a000f65c4add9692b/astroid-4.0.4.tar.gz", hash = "sha256:986fed8bcf79fb82c78b18a53352a0b287a73817d6dbcfba3162da36667c49a0", size = 406358, upload-time = "2026-02-07T23:35:07.509Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/b0/cf/1c5f42b110e57bc5502eb80dbc3b03d256926062519224835ef08134f1f9/astroid-4.0.4-py3-none-any.whl", hash = "sha256:52f39653876c7dec3e3afd4c2696920e05c83832b9737afc21928f2d2eb7a753", size = 276445, upload-time = "2026-02-07T23:35:05.344Z" }, @@ -139,9 +125,6 @@ wheels = [ name = "async-lru" version = "2.3.0" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] sdist = { url = "https://files.pythonhosted.org/packages/e8/1f/989ecfef8e64109a489fff357450cb73fa73a865a92bd8c272170a6922c2/async_lru-2.3.0.tar.gz", hash = "sha256:89bdb258a0140d7313cf8f4031d816a042202faa61d0ab310a0a538baa1c24b6", size = 16332, upload-time = "2026-03-19T01:04:32.413Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/e5/e2/c2e3abf398f80732e58b03be77bde9022550d221dd8781bf586bd4d97cc1/async_lru-2.3.0-py3-none-any.whl", hash = "sha256:eea27b01841909316f2cc739807acea1c623df2be8c5cfad7583286397bb8315", size = 8403, upload-time = "2026-03-19T01:04:30.883Z" }, @@ -164,12 +147,9 @@ dependencies = [ { name = "joblib" }, { name = "matplotlib" }, { name = "mne", extra = ["hdf5"] }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scikit-learn", version = "1.7.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scikit-learn", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "scikit-learn" }, + { name = "scipy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/e0/84/0471a888cb198b109dbc8c73fee04bb505600d4ee7f7bca50a4b76f4b94e/autoreject-0.4.3.tar.gz", hash = "sha256:bd977ea3c88dc68550fbd5dbb98515b3b811907ba78afe8e412632edde6c8fc5", size = 47139, upload-time = "2023-11-14T16:48:15.879Z" } wheels = [ @@ -223,16 +203,9 @@ dependencies = [ { name = "pathspec" }, { name = "platformdirs" }, { name = "pytokens" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/e1/c5/61175d618685d42b005847464b8fb4743a67b1b8fdb75e50e5a96c31a27a/black-26.3.1.tar.gz", hash = "sha256:2c50f5063a9641c7eed7795014ba37b0f5fa227f3d408b968936e24bc0566b07", size = 666155, upload-time = "2026-03-12T03:36:03.593Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/32/a8/11170031095655d36ebc6664fe0897866f6023892396900eec0e8fdc4299/black-26.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:86a8b5035fce64f5dcd1b794cf8ec4d31fe458cf6ce3986a30deb434df82a1d2", size = 1866562, upload-time = "2026-03-12T03:39:58.639Z" }, - { url = "https://files.pythonhosted.org/packages/69/ce/9e7548d719c3248c6c2abfd555d11169457cbd584d98d179111338423790/black-26.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5602bdb96d52d2d0672f24f6ffe5218795736dd34807fd0fd55ccd6bf206168b", size = 1703623, upload-time = "2026-03-12T03:40:00.347Z" }, - { url = "https://files.pythonhosted.org/packages/7f/0a/8d17d1a9c06f88d3d030d0b1d4373c1551146e252afe4547ed601c0e697f/black-26.3.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6c54a4a82e291a1fee5137371ab488866b7c86a3305af4026bdd4dc78642e1ac", size = 1768388, upload-time = "2026-03-12T03:40:01.765Z" }, - { url = "https://files.pythonhosted.org/packages/52/79/c1ee726e221c863cde5164f925bacf183dfdf0397d4e3f94889439b947b4/black-26.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:6e131579c243c98f35bce64a7e08e87fb2d610544754675d4a0e73a070a5aa3a", size = 1412969, upload-time = "2026-03-12T03:40:03.252Z" }, - { url = "https://files.pythonhosted.org/packages/73/a5/15c01d613f5756f68ed8f6d4ec0a1e24b82b18889fa71affd3d1f7fad058/black-26.3.1-cp310-cp310-win_arm64.whl", hash = "sha256:5ed0ca58586c8d9a487352a96b15272b7fa55d139fc8496b519e78023a8dab0a", size = 1220345, upload-time = "2026-03-12T03:40:04.892Z" }, { url = "https://files.pythonhosted.org/packages/17/57/5f11c92861f9c92eb9dddf515530bc2d06db843e44bdcf1c83c1427824bc/black-26.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:28ef38aee69e4b12fda8dba75e21f9b4f979b490c8ac0baa7cb505369ac9e1ff", size = 1851987, upload-time = "2026-03-12T03:40:06.248Z" }, { url = "https://files.pythonhosted.org/packages/54/aa/340a1463660bf6831f9e39646bf774086dbd8ca7fc3cded9d59bbdf4ad0a/black-26.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bf9bf162ed91a26f1adba8efda0b573bc6924ec1408a52cc6f82cb73ec2b142c", size = 1689499, upload-time = "2026-03-12T03:40:07.642Z" }, { url = "https://files.pythonhosted.org/packages/f3/01/b726c93d717d72733da031d2de10b92c9fa4c8d0c67e8a8a372076579279/black-26.3.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:474c27574d6d7037c1bc875a81d9be0a9a4f9ee95e62800dab3cfaadbf75acd5", size = 1754369, upload-time = "2026-03-12T03:40:09.279Z" }, @@ -300,18 +273,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" }, - { url = "https://files.pythonhosted.org/packages/9e/84/ad6a0b408daa859246f57c03efd28e5dd1b33c21737c2db84cae8c237aa5/cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49", size = 180504, upload-time = "2025-09-08T23:22:10.637Z" }, - { url = "https://files.pythonhosted.org/packages/50/bd/b1a6362b80628111e6653c961f987faa55262b4002fcec42308cad1db680/cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c", size = 208811, upload-time = "2025-09-08T23:22:12.267Z" }, - { url = "https://files.pythonhosted.org/packages/4f/27/6933a8b2562d7bd1fb595074cf99cc81fc3789f6a6c05cdabb46284a3188/cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb", size = 216402, upload-time = "2025-09-08T23:22:13.455Z" }, - { url = "https://files.pythonhosted.org/packages/05/eb/b86f2a2645b62adcfff53b0dd97e8dfafb5c8aa864bd0d9a2c2049a0d551/cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0", size = 203217, upload-time = "2025-09-08T23:22:14.596Z" }, - { url = "https://files.pythonhosted.org/packages/9f/e0/6cbe77a53acf5acc7c08cc186c9928864bd7c005f9efd0d126884858a5fe/cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4", size = 203079, upload-time = "2025-09-08T23:22:15.769Z" }, - { url = "https://files.pythonhosted.org/packages/98/29/9b366e70e243eb3d14a5cb488dfd3a0b6b2f1fb001a203f653b93ccfac88/cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453", size = 216475, upload-time = "2025-09-08T23:22:17.427Z" }, - { url = "https://files.pythonhosted.org/packages/21/7a/13b24e70d2f90a322f2900c5d8e1f14fa7e2a6b3332b7309ba7b2ba51a5a/cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495", size = 218829, upload-time = "2025-09-08T23:22:19.069Z" }, - { url = "https://files.pythonhosted.org/packages/60/99/c9dc110974c59cc981b1f5b66e1d8af8af764e00f0293266824d9c4254bc/cffi-2.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e11e82b744887154b182fd3e7e8512418446501191994dbf9c9fc1f32cc8efd5", size = 211211, upload-time = "2025-09-08T23:22:20.588Z" }, - { url = "https://files.pythonhosted.org/packages/49/72/ff2d12dbf21aca1b32a40ed792ee6b40f6dc3a9cf1644bd7ef6e95e0ac5e/cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb", size = 218036, upload-time = "2025-09-08T23:22:22.143Z" }, - { url = "https://files.pythonhosted.org/packages/e2/cc/027d7fb82e58c48ea717149b03bcadcbdc293553edb283af792bd4bcbb3f/cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a", size = 172184, upload-time = "2025-09-08T23:22:23.328Z" }, - { url = "https://files.pythonhosted.org/packages/33/fa/072dd15ae27fbb4e06b437eb6e944e75b068deb09e2a2826039e49ee2045/cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739", size = 182790, upload-time = "2025-09-08T23:22:24.752Z" }, { url = "https://files.pythonhosted.org/packages/12/4a/3dfd5f7850cbf0d06dc84ba9aa00db766b52ca38d8b86e3a38314d52498c/cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe", size = 184344, upload-time = "2025-09-08T23:22:26.456Z" }, { url = "https://files.pythonhosted.org/packages/4f/8b/f0e4c441227ba756aafbe78f117485b25bb26b1c059d01f137fa6d14896b/cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c", size = 180560, upload-time = "2025-09-08T23:22:28.197Z" }, { url = "https://files.pythonhosted.org/packages/b1/b7/1200d354378ef52ec227395d95c2576330fd22a869f7a70e88e1447eb234/cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92", size = 209613, upload-time = "2025-09-08T23:22:29.475Z" }, @@ -378,17 +339,10 @@ name = "cftime" version = "1.6.5" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/65/dc/470ffebac2eb8c54151eb893055024fe81b1606e7c6ff8449a588e9cd17f/cftime-1.6.5.tar.gz", hash = "sha256:8225fed6b9b43fb87683ebab52130450fc1730011150d3092096a90e54d1e81e", size = 326605, upload-time = "2025-10-13T18:56:26.352Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/78/45/dcc38d7b293107d3e33b3d94b2619687eb414a4f16880e2e841cdb6ac49a/cftime-1.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ad81e8cb0eb873b33c3d1e22c6168163fdc64daa8f7aeb4da8092f272575f4d", size = 510221, upload-time = "2025-10-13T18:55:52.976Z" }, - { url = "https://files.pythonhosted.org/packages/68/63/2875341516fcfe80f1a16f86b420aec9441223ab5381d554441c9fdae56e/cftime-1.6.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12d95c6af852114a13301c5a61e41afdbd1542e72939c1083796f8418b9b8b0e", size = 490684, upload-time = "2025-10-13T18:55:54.685Z" }, - { url = "https://files.pythonhosted.org/packages/80/7f/85f2c4c7ae8300b7871af7d7d144ad06f71dc0dd6258f0d18fd966067d1b/cftime-1.6.5-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2659b7df700e27d9e3671f686ce474dfb5fc274966961edf996acc148dfa094a", size = 1592268, upload-time = "2025-10-13T19:39:10.992Z" }, - { url = "https://files.pythonhosted.org/packages/6c/9a/72dbd72498e958edf41a770bbd05e68141774325a945092059f4eb9c653d/cftime-1.6.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:94cebdfcda6a985b8e69aed22d00d6b8aa1f421495adbdcff1d59b3e896d81e2", size = 1624716, upload-time = "2025-10-13T18:55:55.848Z" }, - { url = "https://files.pythonhosted.org/packages/bc/9e/2c4c720ad8bbe87994ca62a0e3c09d3786b984af664a91a6f3a668aa0b13/cftime-1.6.5-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:179681b023349a2fe277ceccc89d4fc52c0dd105cb59b7187b5bc5d442875133", size = 1705927, upload-time = "2025-10-13T18:55:57.711Z" }, - { url = "https://files.pythonhosted.org/packages/da/77/66484061dee5fbcb2fdcfa6a491d4efb880725117f4a339d20a5323105df/cftime-1.6.5-cp310-cp310-win_amd64.whl", hash = "sha256:d8b9fdecb466879cfe8ca4472b229b6f8d0bb65e4ffd44266ae17484bac2cf38", size = 472435, upload-time = "2025-10-13T18:55:59.092Z" }, { url = "https://files.pythonhosted.org/packages/e4/f6/9da7aba9548ede62d25936b8b448acd7e53e5dcc710896f66863dcc9a318/cftime-1.6.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:474e728f5a387299418f8d7cb9c52248dcd5d977b2a01de7ec06bba572e26b02", size = 512733, upload-time = "2025-10-13T18:56:00.189Z" }, { url = "https://files.pythonhosted.org/packages/1f/d5/d86ad95fc1fd89947c34b495ff6487b6d361cf77500217423b4ebcb1f0c2/cftime-1.6.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab9e80d4de815cac2e2d88a2335231254980e545d0196eb34ee8f7ed612645f1", size = 492946, upload-time = "2025-10-13T18:56:01.262Z" }, { url = "https://files.pythonhosted.org/packages/4f/93/d7e8dd76b03a9d5be41a3b3185feffc7ea5359228bdffe7aa43ac772a75b/cftime-1.6.5-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ad24a563784e4795cb3d04bd985895b5db49ace2cbb71fcf1321fd80141f9a52", size = 1689856, upload-time = "2025-10-13T19:39:12.873Z" }, @@ -431,22 +385,6 @@ version = "3.4.6" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e6/8c/2c56124c6dc53a774d435f985b5973bc592f42d437be58c0c92d65ae7296/charset_normalizer-3.4.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2e1d8ca8611099001949d1cdfaefc510cf0f212484fe7c565f735b68c78c3c95", size = 298751, upload-time = "2026-03-15T18:50:00.003Z" }, - { url = "https://files.pythonhosted.org/packages/86/2a/2a7db6b314b966a3bcad8c731c0719c60b931b931de7ae9f34b2839289ee/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd", size = 200027, upload-time = "2026-03-15T18:50:01.702Z" }, - { url = "https://files.pythonhosted.org/packages/68/f2/0fe775c74ae25e2a3b07b01538fc162737b3e3f795bada3bc26f4d4d495c/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:259695e2ccc253feb2a016303543d691825e920917e31f894ca1a687982b1de4", size = 220741, upload-time = "2026-03-15T18:50:03.194Z" }, - { url = "https://files.pythonhosted.org/packages/10/98/8085596e41f00b27dd6aa1e68413d1ddda7e605f34dd546833c61fddd709/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:dda86aba335c902b6149a02a55b38e96287157e609200811837678214ba2b1db", size = 215802, upload-time = "2026-03-15T18:50:05.859Z" }, - { url = "https://files.pythonhosted.org/packages/fd/ce/865e4e09b041bad659d682bbd98b47fb490b8e124f9398c9448065f64fee/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51fb3c322c81d20567019778cb5a4a6f2dc1c200b886bc0d636238e364848c89", size = 207908, upload-time = "2026-03-15T18:50:07.676Z" }, - { url = "https://files.pythonhosted.org/packages/a8/54/8c757f1f7349262898c2f169e0d562b39dcb977503f18fdf0814e923db78/charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:4482481cb0572180b6fd976a4d5c72a30263e98564da68b86ec91f0fe35e8565", size = 194357, upload-time = "2026-03-15T18:50:09.327Z" }, - { url = "https://files.pythonhosted.org/packages/6f/29/e88f2fac9218907fc7a70722b393d1bbe8334c61fe9c46640dba349b6e66/charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:39f5068d35621da2881271e5c3205125cc456f54e9030d3f723288c873a71bf9", size = 205610, upload-time = "2026-03-15T18:50:10.732Z" }, - { url = "https://files.pythonhosted.org/packages/4c/c5/21d7bb0cb415287178450171d130bed9d664211fdd59731ed2c34267b07d/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bea55c4eef25b0b19a0337dc4e3f9a15b00d569c77211fa8cde38684f234fb7", size = 203512, upload-time = "2026-03-15T18:50:12.535Z" }, - { url = "https://files.pythonhosted.org/packages/a4/be/ce52f3c7fdb35cc987ad38a53ebcef52eec498f4fb6c66ecfe62cfe57ba2/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:f0cdaecd4c953bfae0b6bb64910aaaca5a424ad9c72d85cb88417bb9814f7550", size = 195398, upload-time = "2026-03-15T18:50:14.236Z" }, - { url = "https://files.pythonhosted.org/packages/81/a0/3ab5dd39d4859a3555e5dadfc8a9fa7f8352f8c183d1a65c90264517da0e/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:150b8ce8e830eb7ccb029ec9ca36022f756986aaaa7956aad6d9ec90089338c0", size = 221772, upload-time = "2026-03-15T18:50:15.581Z" }, - { url = "https://files.pythonhosted.org/packages/04/6e/6a4e41a97ba6b2fa87f849c41e4d229449a586be85053c4d90135fe82d26/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:e68c14b04827dd76dcbd1aeea9e604e3e4b78322d8faf2f8132c7138efa340a8", size = 205759, upload-time = "2026-03-15T18:50:17.047Z" }, - { url = "https://files.pythonhosted.org/packages/db/3b/34a712a5ee64a6957bf355b01dc17b12de457638d436fdb05d01e463cd1c/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:3778fd7d7cd04ae8f54651f4a7a0bd6e39a0cf20f801720a4c21d80e9b7ad6b0", size = 216938, upload-time = "2026-03-15T18:50:18.44Z" }, - { url = "https://files.pythonhosted.org/packages/cb/05/5bd1e12da9ab18790af05c61aafd01a60f489778179b621ac2a305243c62/charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:dad6e0f2e481fffdcf776d10ebee25e0ef89f16d691f1e5dee4b586375fdc64b", size = 210138, upload-time = "2026-03-15T18:50:19.852Z" }, - { url = "https://files.pythonhosted.org/packages/bd/8e/3cb9e2d998ff6b21c0a1860343cb7b83eba9cdb66b91410e18fc4969d6ab/charset_normalizer-3.4.6-cp310-cp310-win32.whl", hash = "sha256:74a2e659c7ecbc73562e2a15e05039f1e22c75b7c7618b4b574a3ea9118d1557", size = 144137, upload-time = "2026-03-15T18:50:21.505Z" }, - { url = "https://files.pythonhosted.org/packages/d8/8f/78f5489ffadb0db3eb7aff53d31c24531d33eb545f0c6f6567c25f49a5ff/charset_normalizer-3.4.6-cp310-cp310-win_amd64.whl", hash = "sha256:aa9cccf4a44b9b62d8ba8b4dd06c649ba683e4bf04eea606d2e94cfc2d6ff4d6", size = 154244, upload-time = "2026-03-15T18:50:22.81Z" }, - { url = "https://files.pythonhosted.org/packages/e4/74/e472659dffb0cadb2f411282d2d76c60da1fc94076d7fffed4ae8a93ec01/charset_normalizer-3.4.6-cp310-cp310-win_arm64.whl", hash = "sha256:e985a16ff513596f217cee86c21371b8cd011c0f6f056d0920aa2d926c544058", size = 143312, upload-time = "2026-03-15T18:50:24.074Z" }, { url = "https://files.pythonhosted.org/packages/62/28/ff6f234e628a2de61c458be2779cb182bc03f6eec12200d4a525bbfc9741/charset_normalizer-3.4.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:82060f995ab5003a2d6e0f4ad29065b7672b6593c8c63559beefe5b443242c3e", size = 293582, upload-time = "2026-03-15T18:50:25.454Z" }, { url = "https://files.pythonhosted.org/packages/1c/b7/b1a117e5385cbdb3205f6055403c2a2a220c5ea80b8716c324eaf75c5c95/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:60c74963d8350241a79cb8feea80e54d518f72c26db618862a8f53e5023deaf9", size = 197240, upload-time = "2026-03-15T18:50:27.196Z" }, { url = "https://files.pythonhosted.org/packages/a1/5f/2574f0f09f3c3bc1b2f992e20bce6546cb1f17e111c5be07308dc5427956/charset_normalizer-3.4.6-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f6e4333fb15c83f7d1482a76d45a0818897b3d33f00efd215528ff7c51b8e35d", size = 217363, upload-time = "2026-03-15T18:50:28.601Z" }, @@ -560,97 +498,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" }, ] -[[package]] -name = "contourpy" -version = "1.3.2" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/12/a3/da4153ec8fe25d263aa48c1a4cbde7f49b59af86f0b6f7862788c60da737/contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934", size = 268551, upload-time = "2025-04-15T17:34:46.581Z" }, - { url = "https://files.pythonhosted.org/packages/2f/6c/330de89ae1087eb622bfca0177d32a7ece50c3ef07b28002de4757d9d875/contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989", size = 253399, upload-time = "2025-04-15T17:34:51.427Z" }, - { url = "https://files.pythonhosted.org/packages/c1/bd/20c6726b1b7f81a8bee5271bed5c165f0a8e1f572578a9d27e2ccb763cb2/contourpy-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9be002b31c558d1ddf1b9b415b162c603405414bacd6932d031c5b5a8b757f0d", size = 312061, upload-time = "2025-04-15T17:34:55.961Z" }, - { url = "https://files.pythonhosted.org/packages/22/fc/a9665c88f8a2473f823cf1ec601de9e5375050f1958cbb356cdf06ef1ab6/contourpy-1.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8d2e74acbcba3bfdb6d9d8384cdc4f9260cae86ed9beee8bd5f54fee49a430b9", size = 351956, upload-time = "2025-04-15T17:35:00.992Z" }, - { url = "https://files.pythonhosted.org/packages/25/eb/9f0a0238f305ad8fb7ef42481020d6e20cf15e46be99a1fcf939546a177e/contourpy-1.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e259bced5549ac64410162adc973c5e2fb77f04df4a439d00b478e57a0e65512", size = 320872, upload-time = "2025-04-15T17:35:06.177Z" }, - { url = "https://files.pythonhosted.org/packages/32/5c/1ee32d1c7956923202f00cf8d2a14a62ed7517bdc0ee1e55301227fc273c/contourpy-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad687a04bc802cbe8b9c399c07162a3c35e227e2daccf1668eb1f278cb698631", size = 325027, upload-time = "2025-04-15T17:35:11.244Z" }, - { url = "https://files.pythonhosted.org/packages/83/bf/9baed89785ba743ef329c2b07fd0611d12bfecbedbdd3eeecf929d8d3b52/contourpy-1.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cdd22595308f53ef2f891040ab2b93d79192513ffccbd7fe19be7aa773a5e09f", size = 1306641, upload-time = "2025-04-15T17:35:26.701Z" }, - { url = "https://files.pythonhosted.org/packages/d4/cc/74e5e83d1e35de2d28bd97033426b450bc4fd96e092a1f7a63dc7369b55d/contourpy-1.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4f54d6a2defe9f257327b0f243612dd051cc43825587520b1bf74a31e2f6ef2", size = 1374075, upload-time = "2025-04-15T17:35:43.204Z" }, - { url = "https://files.pythonhosted.org/packages/0c/42/17f3b798fd5e033b46a16f8d9fcb39f1aba051307f5ebf441bad1ecf78f8/contourpy-1.3.2-cp310-cp310-win32.whl", hash = "sha256:f939a054192ddc596e031e50bb13b657ce318cf13d264f095ce9db7dc6ae81c0", size = 177534, upload-time = "2025-04-15T17:35:46.554Z" }, - { url = "https://files.pythonhosted.org/packages/54/ec/5162b8582f2c994721018d0c9ece9dc6ff769d298a8ac6b6a652c307e7df/contourpy-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c440093bbc8fc21c637c03bafcbef95ccd963bc6e0514ad887932c18ca2a759a", size = 221188, upload-time = "2025-04-15T17:35:50.064Z" }, - { url = "https://files.pythonhosted.org/packages/b3/b9/ede788a0b56fc5b071639d06c33cb893f68b1178938f3425debebe2dab78/contourpy-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6a37a2fb93d4df3fc4c0e363ea4d16f83195fc09c891bc8ce072b9d084853445", size = 269636, upload-time = "2025-04-15T17:35:54.473Z" }, - { url = "https://files.pythonhosted.org/packages/e6/75/3469f011d64b8bbfa04f709bfc23e1dd71be54d05b1b083be9f5b22750d1/contourpy-1.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b7cd50c38f500bbcc9b6a46643a40e0913673f869315d8e70de0438817cb7773", size = 254636, upload-time = "2025-04-15T17:35:58.283Z" }, - { url = "https://files.pythonhosted.org/packages/8d/2f/95adb8dae08ce0ebca4fd8e7ad653159565d9739128b2d5977806656fcd2/contourpy-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6658ccc7251a4433eebd89ed2672c2ed96fba367fd25ca9512aa92a4b46c4f1", size = 313053, upload-time = "2025-04-15T17:36:03.235Z" }, - { url = "https://files.pythonhosted.org/packages/c3/a6/8ccf97a50f31adfa36917707fe39c9a0cbc24b3bbb58185577f119736cc9/contourpy-1.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:70771a461aaeb335df14deb6c97439973d253ae70660ca085eec25241137ef43", size = 352985, upload-time = "2025-04-15T17:36:08.275Z" }, - { url = "https://files.pythonhosted.org/packages/1d/b6/7925ab9b77386143f39d9c3243fdd101621b4532eb126743201160ffa7e6/contourpy-1.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a887a6e8c4cd0897507d814b14c54a8c2e2aa4ac9f7686292f9769fcf9a6ab", size = 323750, upload-time = "2025-04-15T17:36:13.29Z" }, - { url = "https://files.pythonhosted.org/packages/c2/f3/20c5d1ef4f4748e52d60771b8560cf00b69d5c6368b5c2e9311bcfa2a08b/contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3859783aefa2b8355697f16642695a5b9792e7a46ab86da1118a4a23a51a33d7", size = 326246, upload-time = "2025-04-15T17:36:18.329Z" }, - { url = "https://files.pythonhosted.org/packages/8c/e5/9dae809e7e0b2d9d70c52b3d24cba134dd3dad979eb3e5e71f5df22ed1f5/contourpy-1.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:eab0f6db315fa4d70f1d8ab514e527f0366ec021ff853d7ed6a2d33605cf4b83", size = 1308728, upload-time = "2025-04-15T17:36:33.878Z" }, - { url = "https://files.pythonhosted.org/packages/e2/4a/0058ba34aeea35c0b442ae61a4f4d4ca84d6df8f91309bc2d43bb8dd248f/contourpy-1.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d91a3ccc7fea94ca0acab82ceb77f396d50a1f67412efe4c526f5d20264e6ecd", size = 1375762, upload-time = "2025-04-15T17:36:51.295Z" }, - { url = "https://files.pythonhosted.org/packages/09/33/7174bdfc8b7767ef2c08ed81244762d93d5c579336fc0b51ca57b33d1b80/contourpy-1.3.2-cp311-cp311-win32.whl", hash = "sha256:1c48188778d4d2f3d48e4643fb15d8608b1d01e4b4d6b0548d9b336c28fc9b6f", size = 178196, upload-time = "2025-04-15T17:36:55.002Z" }, - { url = "https://files.pythonhosted.org/packages/5e/fe/4029038b4e1c4485cef18e480b0e2cd2d755448bb071eb9977caac80b77b/contourpy-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:5ebac872ba09cb8f2131c46b8739a7ff71de28a24c869bcad554477eb089a878", size = 222017, upload-time = "2025-04-15T17:36:58.576Z" }, - { url = "https://files.pythonhosted.org/packages/34/f7/44785876384eff370c251d58fd65f6ad7f39adce4a093c934d4a67a7c6b6/contourpy-1.3.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4caf2bcd2969402bf77edc4cb6034c7dd7c0803213b3523f111eb7460a51b8d2", size = 271580, upload-time = "2025-04-15T17:37:03.105Z" }, - { url = "https://files.pythonhosted.org/packages/93/3b/0004767622a9826ea3d95f0e9d98cd8729015768075d61f9fea8eeca42a8/contourpy-1.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:82199cb78276249796419fe36b7386bd8d2cc3f28b3bc19fe2454fe2e26c4c15", size = 255530, upload-time = "2025-04-15T17:37:07.026Z" }, - { url = "https://files.pythonhosted.org/packages/e7/bb/7bd49e1f4fa805772d9fd130e0d375554ebc771ed7172f48dfcd4ca61549/contourpy-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:106fab697af11456fcba3e352ad50effe493a90f893fca6c2ca5c033820cea92", size = 307688, upload-time = "2025-04-15T17:37:11.481Z" }, - { url = "https://files.pythonhosted.org/packages/fc/97/e1d5dbbfa170725ef78357a9a0edc996b09ae4af170927ba8ce977e60a5f/contourpy-1.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d14f12932a8d620e307f715857107b1d1845cc44fdb5da2bc8e850f5ceba9f87", size = 347331, upload-time = "2025-04-15T17:37:18.212Z" }, - { url = "https://files.pythonhosted.org/packages/6f/66/e69e6e904f5ecf6901be3dd16e7e54d41b6ec6ae3405a535286d4418ffb4/contourpy-1.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:532fd26e715560721bb0d5fc7610fce279b3699b018600ab999d1be895b09415", size = 318963, upload-time = "2025-04-15T17:37:22.76Z" }, - { url = "https://files.pythonhosted.org/packages/a8/32/b8a1c8965e4f72482ff2d1ac2cd670ce0b542f203c8e1d34e7c3e6925da7/contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26b383144cf2d2c29f01a1e8170f50dacf0eac02d64139dcd709a8ac4eb3cfe", size = 323681, upload-time = "2025-04-15T17:37:33.001Z" }, - { url = "https://files.pythonhosted.org/packages/30/c6/12a7e6811d08757c7162a541ca4c5c6a34c0f4e98ef2b338791093518e40/contourpy-1.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c49f73e61f1f774650a55d221803b101d966ca0c5a2d6d5e4320ec3997489441", size = 1308674, upload-time = "2025-04-15T17:37:48.64Z" }, - { url = "https://files.pythonhosted.org/packages/2a/8a/bebe5a3f68b484d3a2b8ffaf84704b3e343ef1addea528132ef148e22b3b/contourpy-1.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3d80b2c0300583228ac98d0a927a1ba6a2ba6b8a742463c564f1d419ee5b211e", size = 1380480, upload-time = "2025-04-15T17:38:06.7Z" }, - { url = "https://files.pythonhosted.org/packages/34/db/fcd325f19b5978fb509a7d55e06d99f5f856294c1991097534360b307cf1/contourpy-1.3.2-cp312-cp312-win32.whl", hash = "sha256:90df94c89a91b7362e1142cbee7568f86514412ab8a2c0d0fca72d7e91b62912", size = 178489, upload-time = "2025-04-15T17:38:10.338Z" }, - { url = "https://files.pythonhosted.org/packages/01/c8/fadd0b92ffa7b5eb5949bf340a63a4a496a6930a6c37a7ba0f12acb076d6/contourpy-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:8c942a01d9163e2e5cfb05cb66110121b8d07ad438a17f9e766317bcb62abf73", size = 223042, upload-time = "2025-04-15T17:38:14.239Z" }, - { url = "https://files.pythonhosted.org/packages/2e/61/5673f7e364b31e4e7ef6f61a4b5121c5f170f941895912f773d95270f3a2/contourpy-1.3.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:de39db2604ae755316cb5967728f4bea92685884b1e767b7c24e983ef5f771cb", size = 271630, upload-time = "2025-04-15T17:38:19.142Z" }, - { url = "https://files.pythonhosted.org/packages/ff/66/a40badddd1223822c95798c55292844b7e871e50f6bfd9f158cb25e0bd39/contourpy-1.3.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f9e896f447c5c8618f1edb2bafa9a4030f22a575ec418ad70611450720b5b08", size = 255670, upload-time = "2025-04-15T17:38:23.688Z" }, - { url = "https://files.pythonhosted.org/packages/1e/c7/cf9fdee8200805c9bc3b148f49cb9482a4e3ea2719e772602a425c9b09f8/contourpy-1.3.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71e2bd4a1c4188f5c2b8d274da78faab884b59df20df63c34f74aa1813c4427c", size = 306694, upload-time = "2025-04-15T17:38:28.238Z" }, - { url = "https://files.pythonhosted.org/packages/dd/e7/ccb9bec80e1ba121efbffad7f38021021cda5be87532ec16fd96533bb2e0/contourpy-1.3.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de425af81b6cea33101ae95ece1f696af39446db9682a0b56daaa48cfc29f38f", size = 345986, upload-time = "2025-04-15T17:38:33.502Z" }, - { url = "https://files.pythonhosted.org/packages/dc/49/ca13bb2da90391fa4219fdb23b078d6065ada886658ac7818e5441448b78/contourpy-1.3.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:977e98a0e0480d3fe292246417239d2d45435904afd6d7332d8455981c408b85", size = 318060, upload-time = "2025-04-15T17:38:38.672Z" }, - { url = "https://files.pythonhosted.org/packages/c8/65/5245ce8c548a8422236c13ffcdcdada6a2a812c361e9e0c70548bb40b661/contourpy-1.3.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:434f0adf84911c924519d2b08fc10491dd282b20bdd3fa8f60fd816ea0b48841", size = 322747, upload-time = "2025-04-15T17:38:43.712Z" }, - { url = "https://files.pythonhosted.org/packages/72/30/669b8eb48e0a01c660ead3752a25b44fdb2e5ebc13a55782f639170772f9/contourpy-1.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c66c4906cdbc50e9cba65978823e6e00b45682eb09adbb78c9775b74eb222422", size = 1308895, upload-time = "2025-04-15T17:39:00.224Z" }, - { url = "https://files.pythonhosted.org/packages/05/5a/b569f4250decee6e8d54498be7bdf29021a4c256e77fe8138c8319ef8eb3/contourpy-1.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8b7fc0cd78ba2f4695fd0a6ad81a19e7e3ab825c31b577f384aa9d7817dc3bef", size = 1379098, upload-time = "2025-04-15T17:43:29.649Z" }, - { url = "https://files.pythonhosted.org/packages/19/ba/b227c3886d120e60e41b28740ac3617b2f2b971b9f601c835661194579f1/contourpy-1.3.2-cp313-cp313-win32.whl", hash = "sha256:15ce6ab60957ca74cff444fe66d9045c1fd3e92c8936894ebd1f3eef2fff075f", size = 178535, upload-time = "2025-04-15T17:44:44.532Z" }, - { url = "https://files.pythonhosted.org/packages/12/6e/2fed56cd47ca739b43e892707ae9a13790a486a3173be063681ca67d2262/contourpy-1.3.2-cp313-cp313-win_amd64.whl", hash = "sha256:e1578f7eafce927b168752ed7e22646dad6cd9bca673c60bff55889fa236ebf9", size = 223096, upload-time = "2025-04-15T17:44:48.194Z" }, - { url = "https://files.pythonhosted.org/packages/54/4c/e76fe2a03014a7c767d79ea35c86a747e9325537a8b7627e0e5b3ba266b4/contourpy-1.3.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0475b1f6604896bc7c53bb070e355e9321e1bc0d381735421a2d2068ec56531f", size = 285090, upload-time = "2025-04-15T17:43:34.084Z" }, - { url = "https://files.pythonhosted.org/packages/7b/e2/5aba47debd55d668e00baf9651b721e7733975dc9fc27264a62b0dd26eb8/contourpy-1.3.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:c85bb486e9be652314bb5b9e2e3b0d1b2e643d5eec4992c0fbe8ac71775da739", size = 268643, upload-time = "2025-04-15T17:43:38.626Z" }, - { url = "https://files.pythonhosted.org/packages/a1/37/cd45f1f051fe6230f751cc5cdd2728bb3a203f5619510ef11e732109593c/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:745b57db7758f3ffc05a10254edd3182a2a83402a89c00957a8e8a22f5582823", size = 310443, upload-time = "2025-04-15T17:43:44.522Z" }, - { url = "https://files.pythonhosted.org/packages/8b/a2/36ea6140c306c9ff6dd38e3bcec80b3b018474ef4d17eb68ceecd26675f4/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:970e9173dbd7eba9b4e01aab19215a48ee5dd3f43cef736eebde064a171f89a5", size = 349865, upload-time = "2025-04-15T17:43:49.545Z" }, - { url = "https://files.pythonhosted.org/packages/95/b7/2fc76bc539693180488f7b6cc518da7acbbb9e3b931fd9280504128bf956/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6c4639a9c22230276b7bffb6a850dfc8258a2521305e1faefe804d006b2e532", size = 321162, upload-time = "2025-04-15T17:43:54.203Z" }, - { url = "https://files.pythonhosted.org/packages/f4/10/76d4f778458b0aa83f96e59d65ece72a060bacb20cfbee46cf6cd5ceba41/contourpy-1.3.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc829960f34ba36aad4302e78eabf3ef16a3a100863f0d4eeddf30e8a485a03b", size = 327355, upload-time = "2025-04-15T17:44:01.025Z" }, - { url = "https://files.pythonhosted.org/packages/43/a3/10cf483ea683f9f8ab096c24bad3cce20e0d1dd9a4baa0e2093c1c962d9d/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d32530b534e986374fc19eaa77fcb87e8a99e5431499949b828312bdcd20ac52", size = 1307935, upload-time = "2025-04-15T17:44:17.322Z" }, - { url = "https://files.pythonhosted.org/packages/78/73/69dd9a024444489e22d86108e7b913f3528f56cfc312b5c5727a44188471/contourpy-1.3.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e298e7e70cf4eb179cc1077be1c725b5fd131ebc81181bf0c03525c8abc297fd", size = 1372168, upload-time = "2025-04-15T17:44:33.43Z" }, - { url = "https://files.pythonhosted.org/packages/0f/1b/96d586ccf1b1a9d2004dd519b25fbf104a11589abfd05484ff12199cca21/contourpy-1.3.2-cp313-cp313t-win32.whl", hash = "sha256:d0e589ae0d55204991450bb5c23f571c64fe43adaa53f93fc902a84c96f52fe1", size = 189550, upload-time = "2025-04-15T17:44:37.092Z" }, - { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214, upload-time = "2025-04-15T17:44:40.827Z" }, - { url = "https://files.pythonhosted.org/packages/33/05/b26e3c6ecc05f349ee0013f0bb850a761016d89cec528a98193a48c34033/contourpy-1.3.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fd93cc7f3139b6dd7aab2f26a90dde0aa9fc264dbf70f6740d498a70b860b82c", size = 265681, upload-time = "2025-04-15T17:44:59.314Z" }, - { url = "https://files.pythonhosted.org/packages/2b/25/ac07d6ad12affa7d1ffed11b77417d0a6308170f44ff20fa1d5aa6333f03/contourpy-1.3.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:107ba8a6a7eec58bb475329e6d3b95deba9440667c4d62b9b6063942b61d7f16", size = 315101, upload-time = "2025-04-15T17:45:04.165Z" }, - { url = "https://files.pythonhosted.org/packages/8f/4d/5bb3192bbe9d3f27e3061a6a8e7733c9120e203cb8515767d30973f71030/contourpy-1.3.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ded1706ed0c1049224531b81128efbd5084598f18d8a2d9efae833edbd2b40ad", size = 220599, upload-time = "2025-04-15T17:45:08.456Z" }, - { url = "https://files.pythonhosted.org/packages/ff/c0/91f1215d0d9f9f343e4773ba6c9b89e8c0cc7a64a6263f21139da639d848/contourpy-1.3.2-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5f5964cdad279256c084b69c3f412b7801e15356b16efa9d78aa974041903da0", size = 266807, upload-time = "2025-04-15T17:45:15.535Z" }, - { url = "https://files.pythonhosted.org/packages/d4/79/6be7e90c955c0487e7712660d6cead01fa17bff98e0ea275737cc2bc8e71/contourpy-1.3.2-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49b65a95d642d4efa8f64ba12558fcb83407e58a2dfba9d796d77b63ccfcaff5", size = 318729, upload-time = "2025-04-15T17:45:20.166Z" }, - { url = "https://files.pythonhosted.org/packages/87/68/7f46fb537958e87427d98a4074bcde4b67a70b04900cfc5ce29bc2f556c1/contourpy-1.3.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:8c5acb8dddb0752bf252e01a3035b21443158910ac16a3b0d20e7fed7d534ce5", size = 221791, upload-time = "2025-04-15T17:45:24.794Z" }, -] - [[package]] name = "contourpy" version = "1.3.3" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" } wheels = [ @@ -732,10 +585,9 @@ name = "cuda-bindings" version = "12.9.4" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "cuda-pathfinder", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "cuda-pathfinder", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/7a/d8/b546104b8da3f562c1ff8ab36d130c8fe1dd6a045ced80b4f6ad74f7d4e1/cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d3c842c2a4303b2a580fe955018e31aea30278be19795ae05226235268032e5", size = 12148218, upload-time = "2025-10-21T14:51:28.855Z" }, { url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" }, { url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019, upload-time = "2025-10-21T14:51:43.167Z" }, { url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628, upload-time = "2025-10-21T14:51:49.905Z" }, @@ -767,10 +619,6 @@ version = "1.8.20" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/e0/b7/cd8080344452e4874aae67c40d8940e2b4d47b01601a8fd9f44786c757c7/debugpy-1.8.20.tar.gz", hash = "sha256:55bc8701714969f1ab89a6d5f2f3d40c36f91b2cbe2f65d98bf8196f6a6a2c33", size = 1645207, upload-time = "2026-01-29T23:03:28.199Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/71/be/8bd693a0b9d53d48c8978fa5d889e06f3b5b03e45fd1ea1e78267b4887cb/debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64", size = 2099192, upload-time = "2026-01-29T23:03:29.707Z" }, - { url = "https://files.pythonhosted.org/packages/77/1b/85326d07432086a06361d493d2743edd0c4fc2ef62162be7f8618441ac37/debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642", size = 3088568, upload-time = "2026-01-29T23:03:31.467Z" }, - { url = "https://files.pythonhosted.org/packages/e8/60/3e08462ee3eccd10998853eb35947c416e446bfe2bc37dbb886b9044586c/debugpy-1.8.20-cp310-cp310-win32.whl", hash = "sha256:c29dd9d656c0fbd77906a6e6a82ae4881514aa3294b94c903ff99303e789b4a2", size = 5284399, upload-time = "2026-01-29T23:03:33.678Z" }, - { url = "https://files.pythonhosted.org/packages/72/43/09d49106e770fe558ced5e80df2e3c2ebee10e576eda155dcc5670473663/debugpy-1.8.20-cp310-cp310-win_amd64.whl", hash = "sha256:3ca85463f63b5dd0aa7aaa933d97cbc47c174896dcae8431695872969f981893", size = 5316388, upload-time = "2026-01-29T23:03:35.095Z" }, { url = "https://files.pythonhosted.org/packages/51/56/c3baf5cbe4dd77427fd9aef99fcdade259ad128feeb8a786c246adb838e5/debugpy-1.8.20-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:eada6042ad88fa1571b74bd5402ee8b86eded7a8f7b827849761700aff171f1b", size = 2208318, upload-time = "2026-01-29T23:03:36.481Z" }, { url = "https://files.pythonhosted.org/packages/9a/7d/4fa79a57a8e69fe0d9763e98d1110320f9ecd7f1f362572e3aafd7417c9d/debugpy-1.8.20-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:7de0b7dfeedc504421032afba845ae2a7bcc32ddfb07dae2c3ca5442f821c344", size = 3171493, upload-time = "2026-01-29T23:03:37.775Z" }, { url = "https://files.pythonhosted.org/packages/7d/f2/1e8f8affe51e12a26f3a8a8a4277d6e60aa89d0a66512f63b1e799d424a4/debugpy-1.8.20-cp311-cp311-win32.whl", hash = "sha256:773e839380cf459caf73cc533ea45ec2737a5cc184cf1b3b796cd4fd98504fec", size = 5209240, upload-time = "2026-01-29T23:03:39.109Z" }, @@ -832,18 +680,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/9c/38/3d6dcbf8379cb86d71a2325210ca3469a33767d8254b74d8c343db26ce87/doit-0.37.0-py3-none-any.whl", hash = "sha256:a9f181566aa90faac515e276f85e6526019554ed7e13c12cf9dc094ffecf3e1b", size = 85780, upload-time = "2026-02-09T07:02:10.155Z" }, ] -[[package]] -name = "exceptiongroup" -version = "1.3.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" }, -] - [[package]] name = "executing" version = "2.2.1" @@ -877,14 +713,6 @@ version = "4.62.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/9a/08/7012b00a9a5874311b639c3920270c36ee0c445b69d9989a85e5c92ebcb0/fonttools-4.62.1.tar.gz", hash = "sha256:e54c75fd6041f1122476776880f7c3c3295ffa31962dc6ebe2543c00dca58b5d", size = 3580737, upload-time = "2026-03-13T13:54:25.52Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/5a/ff/532ed43808b469c807e8cb6b21358da3fe6fd51486b3a8c93db0bb5d957f/fonttools-4.62.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ad5cca75776cd453b1b035b530e943334957ae152a36a88a320e779d61fc980c", size = 2873740, upload-time = "2026-03-13T13:52:11.822Z" }, - { url = "https://files.pythonhosted.org/packages/85/e4/2318d2b430562da7227010fb2bb029d2fa54d7b46443ae8942bab224e2a0/fonttools-4.62.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0b3ae47e8636156a9accff64c02c0924cbebad62854c4a6dbdc110cd5b4b341a", size = 2417649, upload-time = "2026-03-13T13:52:14.605Z" }, - { url = "https://files.pythonhosted.org/packages/4c/28/40f15523b5188598018e7956899fed94eb7debec89e2dd70cb4a8df90492/fonttools-4.62.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c9b9e288b4da2f64fd6180644221749de651703e8d0c16bd4b719533a3a7d6e3", size = 4935213, upload-time = "2026-03-13T13:52:17.399Z" }, - { url = "https://files.pythonhosted.org/packages/42/09/7dbe3d7023f57d9b580cfa832109d521988112fd59dddfda3fddda8218f9/fonttools-4.62.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7bca7a1c1faf235ffe25d4f2e555246b4750220b38de8261d94ebc5ce8a23c23", size = 4892374, upload-time = "2026-03-13T13:52:20.175Z" }, - { url = "https://files.pythonhosted.org/packages/d1/2d/84509a2e32cb925371560ef5431365d8da2183c11d98e5b4b8b4e42426a5/fonttools-4.62.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b4e0fcf265ad26e487c56cb12a42dffe7162de708762db951e1b3f755319507d", size = 4911856, upload-time = "2026-03-13T13:52:22.777Z" }, - { url = "https://files.pythonhosted.org/packages/a5/80/df28131379eed93d9e6e6fccd3bf6e3d077bebbfe98cc83f21bbcd83ed02/fonttools-4.62.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2d850f66830a27b0d498ee05adb13a3781637b1826982cd7e2b3789ef0cc71ae", size = 5031712, upload-time = "2026-03-13T13:52:25.14Z" }, - { url = "https://files.pythonhosted.org/packages/3d/03/3c8f09aad64230cd6d921ae7a19f9603c36f70930b00459f112706f6769a/fonttools-4.62.1-cp310-cp310-win32.whl", hash = "sha256:486f32c8047ccd05652aba17e4a8819a3a9d78570eb8a0e3b4503142947880ed", size = 1507878, upload-time = "2026-03-13T13:52:28.149Z" }, - { url = "https://files.pythonhosted.org/packages/dd/ec/f53f626f8f3e89f4cadd8fc08f3452c8fd182c951ad5caa35efac22b29ab/fonttools-4.62.1-cp310-cp310-win_amd64.whl", hash = "sha256:5a648bde915fba9da05ae98856987ca91ba832949a9e2888b48c47ef8b96c5a9", size = 1556766, upload-time = "2026-03-13T13:52:30.814Z" }, { url = "https://files.pythonhosted.org/packages/88/39/23ff32561ec8d45a4d48578b4d241369d9270dc50926c017570e60893701/fonttools-4.62.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:40975849bac44fb0b9253d77420c6d8b523ac4dcdcefeff6e4d706838a5b80f7", size = 2871039, upload-time = "2026-03-13T13:52:33.127Z" }, { url = "https://files.pythonhosted.org/packages/24/7f/66d3f8a9338a9b67fe6e1739f47e1cd5cee78bd3bc1206ef9b0b982289a5/fonttools-4.62.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9dde91633f77fa576879a0c76b1d89de373cae751a98ddf0109d54e173b40f14", size = 2416346, upload-time = "2026-03-13T13:52:35.676Z" }, { url = "https://files.pythonhosted.org/packages/aa/53/5276ceba7bff95da7793a07c5284e1da901cf00341ce5e2f3273056c0cca/fonttools-4.62.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6acb4109f8bee00fec985c8c7afb02299e35e9c94b57287f3ea542f28bd0b0a7", size = 5100897, upload-time = "2026-03-13T13:52:38.102Z" }, @@ -962,6 +790,7 @@ wheels = [ name = "griffelib" version = "2.0.0" source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ad/06/eccbd311c9e2b3ca45dbc063b93134c57a1ccc7607c5e545264ad092c4a9/griffelib-2.0.0.tar.gz", hash = "sha256:e504d637a089f5cab9b5daf18f7645970509bf4f53eda8d79ed71cce8bd97934", size = 166312, upload-time = "2026-03-23T21:06:55.954Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/4d/51/c936033e16d12b627ea334aaaaf42229c37620d0f15593456ab69ab48161/griffelib-2.0.0-py3-none-any.whl", hash = "sha256:01284878c966508b6d6f1dbff9b6fa607bc062d8261c5c7253cb285b06422a7f", size = 142004, upload-time = "2026-02-09T19:09:40.561Z" }, ] @@ -981,8 +810,7 @@ version = "0.2.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "h5py" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/78/17/3789c0c72e64d59ca2433237ec325b19f283b13c61b0ecfc0671afaf609b/h5io-0.2.5.tar.gz", hash = "sha256:265bc9c24508b30575e8a8806b19cd4440643ff26f8b82b51d0280444807eed8", size = 21000, upload-time = "2025-04-14T16:41:12.159Z" } wheels = [ @@ -994,18 +822,10 @@ name = "h5py" version = "3.16.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/db/33/acd0ce6863b6c0d7735007df01815403f5589a21ff8c2e1ee2587a38f548/h5py-3.16.0.tar.gz", hash = "sha256:a0dbaad796840ccaa67a4c144a0d0c8080073c34c76d5a6941d6818678ef2738", size = 446526, upload-time = "2026-03-06T13:49:08.07Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3a/6b/231413e58a787a89b316bb0d1777da3c62257e4797e09afd8d17ad3549dc/h5py-3.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e06f864bedb2c8e7c1358e6c73af48519e317457c444d6f3d332bb4e8fa6d7d9", size = 3724137, upload-time = "2026-03-06T13:47:35.242Z" }, - { url = "https://files.pythonhosted.org/packages/74/f9/557ce3aad0fe8471fb5279bab0fc56ea473858a022c4ce8a0b8f303d64e9/h5py-3.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec86d4fffd87a0f4cb3d5796ceb5a50123a2a6d99b43e616e5504e66a953eca3", size = 3090112, upload-time = "2026-03-06T13:47:37.634Z" }, - { url = "https://files.pythonhosted.org/packages/7a/f5/e15b3d0dc8a18e56409a839e6468d6fb589bc5207c917399c2e0706eeb44/h5py-3.16.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:86385ea895508220b8a7e45efa428aeafaa586bd737c7af9ee04661d8d84a10d", size = 4844847, upload-time = "2026-03-06T13:47:39.811Z" }, - { url = "https://files.pythonhosted.org/packages/cb/92/a8851d936547efe30cc0ce5245feac01f3ec6171f7899bc3f775c72030b3/h5py-3.16.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:8975273c2c5921c25700193b408e28d6bdd0111c37468b2d4e25dcec4cd1d84d", size = 5065352, upload-time = "2026-03-06T13:47:41.489Z" }, - { url = "https://files.pythonhosted.org/packages/2b/ae/f2adc5d0ca9626db3277a3d87516e124cbc5d0eea0bd79bc085702d04f2c/h5py-3.16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1677ad48b703f44efc9ea0c3ab284527f81bc4f318386aaaebc5fede6bbae56f", size = 4839173, upload-time = "2026-03-06T13:47:43.586Z" }, - { url = "https://files.pythonhosted.org/packages/64/0b/e0c8c69da1d8838da023a50cd3080eae5d475691f7636b35eff20bb6ef20/h5py-3.16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c4dd4cf5f0a4e36083f73172f6cfc25a5710789269547f132a20975bfe2434c", size = 5076216, upload-time = "2026-03-06T13:47:45.315Z" }, - { url = "https://files.pythonhosted.org/packages/66/35/d88fd6718832133c885004c61ceeeb24dbd6397ef877dbed6b3a64d6a286/h5py-3.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:bdef06507725b455fccba9c16529121a5e1fbf56aa375f7d9713d9e8ff42454d", size = 3183639, upload-time = "2026-03-06T13:47:47.041Z" }, { url = "https://files.pythonhosted.org/packages/ba/95/a825894f3e45cbac7554c4e97314ce886b233a20033787eda755ca8fecc7/h5py-3.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:719439d14b83f74eeb080e9650a6c7aa6d0d9ea0ca7f804347b05fac6fbf18af", size = 3721663, upload-time = "2026-03-06T13:47:49.599Z" }, { url = "https://files.pythonhosted.org/packages/bf/3b/38ff88b347c3e346cda1d3fc1b65a7aa75d40632228d8b8a5d7b58508c24/h5py-3.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c3f0a0e136f2e95dd0b67146abb6668af4f1a69c81ef8651a2d316e8e01de447", size = 3087630, upload-time = "2026-03-06T13:47:51.249Z" }, { url = "https://files.pythonhosted.org/packages/98/a8/2594cef906aee761601eff842c7dc598bea2b394a3e1c00966832b8eeb7c/h5py-3.16.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:a6fbc5367d4046801f9b7db9191b31895f22f1c6df1f9987d667854cac493538", size = 4823472, upload-time = "2026-03-06T13:47:53.085Z" }, @@ -1102,20 +922,15 @@ dependencies = [ { name = "mistune" }, { name = "mne" }, { name = "mne-connectivity" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "pandas" }, { name = "pillow" }, { name = "pyarrow" }, - { name = "pywavelets", version = "1.8.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "pywavelets", version = "1.9.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pywavelets" }, { name = "pyxdf" }, { name = "requests" }, - { name = "scikit-image", version = "0.25.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scikit-image", version = "0.26.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scikit-image" }, + { name = "scipy" }, { name = "seaborn" }, { name = "snirf" }, { name = "statsmodels" }, @@ -1179,7 +994,7 @@ requires-dist = [ { name = "pyxdf", specifier = ">=1.17.0" }, { name = "requests", specifier = ">=2.32.4" }, { name = "scikit-image", specifier = ">=0.25.2" }, - { name = "scipy", specifier = ">=1.11.1,<1.17.0" }, + { name = "scipy", specifier = ">=1.17.1" }, { name = "seaborn", specifier = ">=0.13.2" }, { name = "shiny", marker = "extra == 'shiny'", specifier = ">=1.1.0" }, { name = "snirf", specifier = ">=0.8.0" }, @@ -1228,8 +1043,7 @@ name = "imageio" version = "2.37.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "pillow" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b1/84/93bcd1300216ea50811cee96873b84a1bebf8d0489ffaf7f2a3756bab866/imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451", size = 389673, upload-time = "2026-03-09T11:31:12.573Z" } @@ -1275,8 +1089,7 @@ dependencies = [ { name = "appnope", marker = "sys_platform == 'darwin'" }, { name = "comm" }, { name = "debugpy" }, - { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "jupyter-client" }, { name = "jupyter-core" }, @@ -1293,54 +1106,28 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/82/b9/e73d5d9f405cba7706c539aa8b311b49d4c2f3d698d9c12f815231169c71/ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661", size = 118788, upload-time = "2026-02-06T16:43:25.149Z" }, ] -[[package]] -name = "ipython" -version = "8.38.0" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "colorama", marker = "python_full_version < '3.11' and sys_platform == 'win32'" }, - { name = "decorator", marker = "python_full_version < '3.11'" }, - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, - { name = "jedi", marker = "python_full_version < '3.11'" }, - { name = "matplotlib-inline", marker = "python_full_version < '3.11'" }, - { name = "pexpect", marker = "python_full_version < '3.11' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, - { name = "prompt-toolkit", marker = "python_full_version < '3.11'" }, - { name = "pygments", marker = "python_full_version < '3.11'" }, - { name = "stack-data", marker = "python_full_version < '3.11'" }, - { name = "traitlets", marker = "python_full_version < '3.11'" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/e5/61/1810830e8b93c72dcd3c0f150c80a00c3deb229562d9423807ec92c3a539/ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39", size = 5513996, upload-time = "2026-01-05T10:59:06.901Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9f/df/db59624f4c71b39717c423409950ac3f2c8b2ce4b0aac843112c7fb3f721/ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86", size = 831813, upload-time = "2026-01-05T10:59:04.239Z" }, -] - [[package]] name = "ipython" version = "9.10.0" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] -dependencies = [ - { name = "colorama", marker = "python_full_version == '3.11.*' and sys_platform == 'win32'" }, - { name = "decorator", marker = "python_full_version == '3.11.*'" }, - { name = "ipython-pygments-lexers", marker = "python_full_version == '3.11.*'" }, - { name = "jedi", marker = "python_full_version == '3.11.*'" }, - { name = "matplotlib-inline", marker = "python_full_version == '3.11.*'" }, - { name = "pexpect", marker = "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, - { name = "prompt-toolkit", marker = "python_full_version == '3.11.*'" }, - { name = "pygments", marker = "python_full_version == '3.11.*'" }, - { name = "stack-data", marker = "python_full_version == '3.11.*'" }, - { name = "traitlets", marker = "python_full_version == '3.11.*'" }, - { name = "typing-extensions", marker = "python_full_version == '3.11.*'" }, + "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "colorama", marker = "python_full_version < '3.12' and sys_platform == 'win32'" }, + { name = "decorator", marker = "python_full_version < '3.12'" }, + { name = "ipython-pygments-lexers", marker = "python_full_version < '3.12'" }, + { name = "jedi", marker = "python_full_version < '3.12'" }, + { name = "matplotlib-inline", marker = "python_full_version < '3.12'" }, + { name = "pexpect", marker = "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "prompt-toolkit", marker = "python_full_version < '3.12'" }, + { name = "pygments", marker = "python_full_version < '3.12'" }, + { name = "stack-data", marker = "python_full_version < '3.12'" }, + { name = "traitlets", marker = "python_full_version < '3.12'" }, + { name = "typing-extensions", marker = "python_full_version < '3.12'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a6/60/2111715ea11f39b1535bed6024b7dec7918b71e5e5d30855a5b503056b50/ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77", size = 4426526, upload-time = "2026-02-02T10:00:33.594Z" } wheels = [ @@ -1383,7 +1170,7 @@ name = "ipython-pygments-lexers" version = "1.1.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "pygments", marker = "python_full_version >= '3.11'" }, + { name = "pygments" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ef/4c/5dd1d8af08107f88c7f741ead7a40854b8ac24ddf9ae850afbcf698aa552/ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81", size = 8393, upload-time = "2025-01-17T11:24:34.505Z" } wheels = [ @@ -1396,8 +1183,7 @@ version = "8.1.8" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "comm" }, - { name = "ipython", version = "8.38.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, + { name = "ipython", version = "9.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, { name = "ipython", version = "9.11.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "jupyterlab-widgets" }, { name = "traitlets" }, @@ -1639,7 +1425,6 @@ dependencies = [ { name = "notebook-shim" }, { name = "packaging" }, { name = "setuptools" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, { name = "tornado" }, { name = "traitlets" }, ] @@ -1690,19 +1475,6 @@ version = "1.5.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/d0/67/9c61eccb13f0bdca9307614e782fec49ffdde0f7a2314935d489fa93cd9c/kiwisolver-1.5.0.tar.gz", hash = "sha256:d4193f3d9dc3f6f79aaed0e5637f45d98850ebf01f7ca20e69457f3e8946b66a", size = 103482, upload-time = "2026-03-09T13:15:53.382Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/ac/f8/06549565caa026e540b7e7bab5c5a90eb7ca986015f4c48dace243cd24d9/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374", size = 122802, upload-time = "2026-03-09T13:12:37.515Z" }, - { url = "https://files.pythonhosted.org/packages/84/eb/8476a0818850c563ff343ea7c9c05dcdcbd689a38e01aa31657df01f91fa/kiwisolver-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd", size = 66216, upload-time = "2026-03-09T13:12:38.812Z" }, - { url = "https://files.pythonhosted.org/packages/f3/c4/f9c8a6b4c21aed4198566e45923512986d6cef530e7263b3a5f823546561/kiwisolver-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86e0287879f75621ae85197b0877ed2f8b7aa57b511c7331dce2eb6f4de7d476", size = 63917, upload-time = "2026-03-09T13:12:40.053Z" }, - { url = "https://files.pythonhosted.org/packages/f1/0e/ba4ae25d03722f64de8b2c13e80d82ab537a06b30fc7065183c6439357e3/kiwisolver-1.5.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:62f59da443c4f4849f73a51a193b1d9d258dcad0c41bc4d1b8fb2bcc04bfeb22", size = 1628776, upload-time = "2026-03-09T13:12:41.976Z" }, - { url = "https://files.pythonhosted.org/packages/8a/e4/3f43a011bc8a0860d1c96f84d32fa87439d3feedf66e672fef03bf5e8bac/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9190426b7aa26c5229501fa297b8d0653cfd3f5a36f7990c264e157cbf886b3b", size = 1228164, upload-time = "2026-03-09T13:12:44.002Z" }, - { url = "https://files.pythonhosted.org/packages/4b/34/3a901559a1e0c218404f9a61a93be82d45cb8f44453ba43088644980f033/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c8277104ded0a51e699c8c3aff63ce2c56d4ed5519a5f73e0fd7057f959a2b9e", size = 1246656, upload-time = "2026-03-09T13:12:45.557Z" }, - { url = "https://files.pythonhosted.org/packages/87/9e/f78c466ea20527822b95ad38f141f2de1dcd7f23fb8716b002b0d91bbe59/kiwisolver-1.5.0-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8f9baf6f0a6e7571c45c8863010b45e837c3ee1c2c77fcd6ef423be91b21fedb", size = 1295562, upload-time = "2026-03-09T13:12:47.562Z" }, - { url = "https://files.pythonhosted.org/packages/0a/66/fd0e4a612e3a286c24e6d6f3a5428d11258ed1909bc530ba3b59807fd980/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cff8e5383db4989311f99e814feeb90c4723eb4edca425b9d5d9c3fefcdd9537", size = 2178473, upload-time = "2026-03-09T13:12:50.254Z" }, - { url = "https://files.pythonhosted.org/packages/dc/8e/6cac929e0049539e5ee25c1ee937556f379ba5204840d03008363ced662d/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ebae99ed6764f2b5771c522477b311be313e8841d2e0376db2b10922daebbba4", size = 2274035, upload-time = "2026-03-09T13:12:51.785Z" }, - { url = "https://files.pythonhosted.org/packages/ca/d3/9d0c18f1b52ea8074b792452cf17f1f5a56bd0302a85191f405cfbf9da16/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:d5cd5189fc2b6a538b75ae45433140c4823463918f7b1617c31e68b085c0022c", size = 2443217, upload-time = "2026-03-09T13:12:53.329Z" }, - { url = "https://files.pythonhosted.org/packages/45/2a/6e19368803a038b2a90857bf4ee9e3c7b667216d045866bf22d3439fd75e/kiwisolver-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f42c23db5d1521218a3276bb08666dcb662896a0be7347cba864eca45ff64ede", size = 2249196, upload-time = "2026-03-09T13:12:55.057Z" }, - { url = "https://files.pythonhosted.org/packages/75/2b/3f641dfcbe72e222175d626bacf2f72c3b34312afec949dd1c50afa400f5/kiwisolver-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:94eff26096eb5395136634622515b234ecb6c9979824c1f5004c6e3c3c85ccd2", size = 73389, upload-time = "2026-03-09T13:12:56.496Z" }, - { url = "https://files.pythonhosted.org/packages/da/88/299b137b9e0025d8982e03d2d52c123b0a2b159e84b0ef1501ef446339cf/kiwisolver-1.5.0-cp310-cp310-win_arm64.whl", hash = "sha256:dd952e03bfbb096cfe2dd35cd9e00f269969b67536cb4370994afc20ff2d0875", size = 64782, upload-time = "2026-03-09T13:12:57.609Z" }, { url = "https://files.pythonhosted.org/packages/12/dd/a495a9c104be1c476f0386e714252caf2b7eca883915422a64c50b88c6f5/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9eed0f7edbb274413b6ee781cca50541c8c0facd3d6fd289779e494340a2b85c", size = 122798, upload-time = "2026-03-09T13:12:58.963Z" }, { url = "https://files.pythonhosted.org/packages/11/60/37b4047a2af0cf5ef6d8b4b26e91829ae6fc6a2d1f74524bcb0e7cd28a32/kiwisolver-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c4923e404d6bcd91b6779c009542e5647fef32e4a5d75e115e3bbac6f2335eb", size = 66216, upload-time = "2026-03-09T13:13:00.155Z" }, { url = "https://files.pythonhosted.org/packages/0a/aa/510dc933d87767584abfe03efa445889996c70c2990f6f87c3ebaa0a18c5/kiwisolver-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0df54df7e686afa55e6f21fb86195224a6d9beb71d637e8d7920c95cf0f89aac", size = 63911, upload-time = "2026-03-09T13:13:01.671Z" }, @@ -1796,11 +1568,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/0f/41/c5f71f9f00aabcc71fee8b7475e3f64747282580c2fe748961ba29b18385/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:f6764a4ccab3078db14a632420930f6186058750df066b8ea2a7106df91d3203", size = 138036, upload-time = "2026-03-09T13:15:36.894Z" }, { url = "https://files.pythonhosted.org/packages/fa/06/7399a607f434119c6e1fdc8ec89a8d51ccccadf3341dee4ead6bd14caaf5/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c31c13da98624f957b0fb1b5bae5383b2333c2c3f6793d9825dd5ce79b525cb7", size = 194295, upload-time = "2026-03-09T13:15:38.22Z" }, { url = "https://files.pythonhosted.org/packages/b5/91/53255615acd2a1eaca307ede3c90eb550bae9c94581f8c00081b6b1c8f44/kiwisolver-1.5.0-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:1f1489f769582498610e015a8ef2d36f28f505ab3096d0e16b4858a9ec214f57", size = 75987, upload-time = "2026-03-09T13:15:39.65Z" }, - { url = "https://files.pythonhosted.org/packages/17/6f/6fd4f690a40c2582fa34b97d2678f718acf3706b91d270c65ecb455d0a06/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:295d9ffe712caa9f8a3081de8d32fc60191b4b51c76f02f951fd8407253528f4", size = 59606, upload-time = "2026-03-09T13:15:40.81Z" }, - { url = "https://files.pythonhosted.org/packages/82/a0/2355d5e3b338f13ce63f361abb181e3b6ea5fffdb73f739b3e80efa76159/kiwisolver-1.5.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:51e8c4084897de9f05898c2c2a39af6318044ae969d46ff7a34ed3f96274adca", size = 57537, upload-time = "2026-03-09T13:15:42.071Z" }, - { url = "https://files.pythonhosted.org/packages/c8/b9/1d50e610ecadebe205b71d6728fd224ce0e0ca6aba7b9cbe1da049203ac5/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b83af57bdddef03c01a9138034c6ff03181a3028d9a1003b301eb1a55e161a3f", size = 79888, upload-time = "2026-03-09T13:15:43.317Z" }, - { url = "https://files.pythonhosted.org/packages/cd/ee/b85ffcd75afed0357d74f0e6fc02a4507da441165de1ca4760b9f496390d/kiwisolver-1.5.0-pp310-pypy310_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf4679a3d71012a7c2bf360e5cd878fbd5e4fcac0896b56393dec239d81529ed", size = 77584, upload-time = "2026-03-09T13:15:44.605Z" }, - { url = "https://files.pythonhosted.org/packages/6b/dd/644d0dde6010a8583b4cd66dd41c5f83f5325464d15c4f490b3340ab73b4/kiwisolver-1.5.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:41024ed50e44ab1a60d3fe0a9d15a4ccc9f5f2b1d814ff283c8d01134d5b81bc", size = 73390, upload-time = "2026-03-09T13:15:45.832Z" }, { url = "https://files.pythonhosted.org/packages/e9/eb/5fcbbbf9a0e2c3a35effb88831a483345326bbc3a030a3b5b69aee647f84/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ec4c85dc4b687c7f7f15f553ff26a98bfe8c58f5f7f0ac8905f0ba4c7be60232", size = 59532, upload-time = "2026-03-09T13:15:47.047Z" }, { url = "https://files.pythonhosted.org/packages/c3/9b/e17104555bb4db148fd52327feea1e96be4b88e8e008b029002c281a21ab/kiwisolver-1.5.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:12e91c215a96e39f57989c8912ae761286ac5a9584d04030ceb3368a357f017a", size = 57420, upload-time = "2026-03-09T13:15:48.199Z" }, { url = "https://files.pythonhosted.org/packages/48/44/2b5b95b7aa39fb2d8d9d956e0f3d5d45aef2ae1d942d4c3ffac2f9cfed1a/kiwisolver-1.5.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:be4a51a55833dc29ab5d7503e7bcb3b3af3402d266018137127450005cdfe737", size = 79892, upload-time = "2026-03-09T13:15:49.694Z" }, @@ -1859,10 +1626,6 @@ version = "0.46.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/74/cd/08ae687ba099c7e3d21fe2ea536500563ef1943c5105bf6ab4ee3829f68e/llvmlite-0.46.0.tar.gz", hash = "sha256:227c9fd6d09dce2783c18b754b7cd9d9b3b3515210c46acc2d3c5badd9870ceb", size = 193456, upload-time = "2025-12-08T18:15:36.295Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/3d/a4/3959e1c61c5ca9db7921e5fd115b344c29b9d57a5dadd87bef97963ca1a5/llvmlite-0.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4323177e936d61ae0f73e653e2e614284d97d14d5dd12579adc92b6c2b0597b0", size = 37232766, upload-time = "2025-12-08T18:14:34.765Z" }, - { url = "https://files.pythonhosted.org/packages/c2/a5/a4d916f1015106e1da876028606a8e87fd5d5c840f98c87bc2d5153b6a2f/llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0a2d461cb89537b7c20feb04c46c32e12d5ad4f0896c9dfc0f60336219ff248e", size = 56275176, upload-time = "2025-12-08T18:14:37.944Z" }, - { url = "https://files.pythonhosted.org/packages/79/7f/a7f2028805dac8c1a6fae7bda4e739b7ebbcd45b29e15bf6d21556fcd3d5/llvmlite-0.46.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b1f6595a35b7b39c3518b85a28bf18f45e075264e4b2dce3f0c2a4f232b4a910", size = 55128629, upload-time = "2025-12-08T18:14:41.674Z" }, - { url = "https://files.pythonhosted.org/packages/b2/bc/4689e1ba0c073c196b594471eb21be0aa51d9e64b911728aa13cd85ef0ae/llvmlite-0.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:e7a34d4aa6f9a97ee006b504be6d2b8cb7f755b80ab2f344dda1ef992f828559", size = 38138651, upload-time = "2025-12-08T18:14:45.845Z" }, { url = "https://files.pythonhosted.org/packages/7a/a1/2ad4b2367915faeebe8447f0a057861f646dbf5fbbb3561db42c65659cf3/llvmlite-0.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82f3d39b16f19aa1a56d5fe625883a6ab600d5cc9ea8906cca70ce94cabba067", size = 37232766, upload-time = "2025-12-08T18:14:48.836Z" }, { url = "https://files.pythonhosted.org/packages/12/b5/99cf8772fdd846c07da4fd70f07812a3c8fd17ea2409522c946bb0f2b277/llvmlite-0.46.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a3df43900119803bbc52720e758c76f316a9a0f34612a886862dfe0a5591a17e", size = 56275175, upload-time = "2025-12-08T18:14:51.604Z" }, { url = "https://files.pythonhosted.org/packages/38/f2/ed806f9c003563732da156139c45d970ee435bd0bfa5ed8de87ba972b452/llvmlite-0.46.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de183fefc8022d21b0aa37fc3e90410bc3524aed8617f0ff76732fc6c3af5361", size = 55128630, upload-time = "2025-12-08T18:14:55.107Z" }, @@ -1908,17 +1671,6 @@ version = "3.0.3" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/7e/99/7690b6d4034fffd95959cbe0c02de8deb3098cc577c67bb6a24fe5d7caa7/markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698", size = 80313, upload-time = "2025-09-27T18:37:40.426Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/e8/4b/3541d44f3937ba468b75da9eebcae497dcf67adb65caa16760b0a6807ebb/markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559", size = 11631, upload-time = "2025-09-27T18:36:05.558Z" }, - { url = "https://files.pythonhosted.org/packages/98/1b/fbd8eed11021cabd9226c37342fa6ca4e8a98d8188a8d9b66740494960e4/markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419", size = 12057, upload-time = "2025-09-27T18:36:07.165Z" }, - { url = "https://files.pythonhosted.org/packages/40/01/e560d658dc0bb8ab762670ece35281dec7b6c1b33f5fbc09ebb57a185519/markupsafe-3.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695", size = 22050, upload-time = "2025-09-27T18:36:08.005Z" }, - { url = "https://files.pythonhosted.org/packages/af/cd/ce6e848bbf2c32314c9b237839119c5a564a59725b53157c856e90937b7a/markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591", size = 20681, upload-time = "2025-09-27T18:36:08.881Z" }, - { url = "https://files.pythonhosted.org/packages/c9/2a/b5c12c809f1c3045c4d580b035a743d12fcde53cf685dbc44660826308da/markupsafe-3.0.3-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c", size = 20705, upload-time = "2025-09-27T18:36:10.131Z" }, - { url = "https://files.pythonhosted.org/packages/cf/e3/9427a68c82728d0a88c50f890d0fc072a1484de2f3ac1ad0bfc1a7214fd5/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f", size = 21524, upload-time = "2025-09-27T18:36:11.324Z" }, - { url = "https://files.pythonhosted.org/packages/bc/36/23578f29e9e582a4d0278e009b38081dbe363c5e7165113fad546918a232/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6", size = 20282, upload-time = "2025-09-27T18:36:12.573Z" }, - { url = "https://files.pythonhosted.org/packages/56/21/dca11354e756ebd03e036bd8ad58d6d7168c80ce1fe5e75218e4945cbab7/markupsafe-3.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1", size = 20745, upload-time = "2025-09-27T18:36:13.504Z" }, - { url = "https://files.pythonhosted.org/packages/87/99/faba9369a7ad6e4d10b6a5fbf71fa2a188fe4a593b15f0963b73859a1bbd/markupsafe-3.0.3-cp310-cp310-win32.whl", hash = "sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa", size = 14571, upload-time = "2025-09-27T18:36:14.779Z" }, - { url = "https://files.pythonhosted.org/packages/d6/25/55dc3ab959917602c96985cb1253efaa4ff42f71194bddeb61eb7278b8be/markupsafe-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8", size = 15056, upload-time = "2025-09-27T18:36:16.125Z" }, - { url = "https://files.pythonhosted.org/packages/d0/9e/0a02226640c255d1da0b8d12e24ac2aa6734da68bff14c05dd53b94a0fc3/markupsafe-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1", size = 13932, upload-time = "2025-09-27T18:36:17.311Z" }, { url = "https://files.pythonhosted.org/packages/08/db/fefacb2136439fc8dd20e797950e749aa1f4997ed584c62cfb8ef7c2be0e/markupsafe-3.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad", size = 11631, upload-time = "2025-09-27T18:36:18.185Z" }, { url = "https://files.pythonhosted.org/packages/e1/2e/5898933336b61975ce9dc04decbc0a7f2fee78c30353c5efba7f2d6ff27a/markupsafe-3.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a", size = 12058, upload-time = "2025-09-27T18:36:19.444Z" }, { url = "https://files.pythonhosted.org/packages/1d/09/adf2df3699d87d1d8184038df46a9c80d78c0148492323f4693df54e17bb/markupsafe-3.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50", size = 24287, upload-time = "2025-09-27T18:36:20.768Z" }, @@ -1992,13 +1744,11 @@ name = "matplotlib" version = "3.10.8" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "contourpy" }, { name = "cycler" }, { name = "fonttools" }, { name = "kiwisolver" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "packaging" }, { name = "pillow" }, { name = "pyparsing" }, @@ -2006,12 +1756,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/8a/76/d3c6e3a13fe484ebe7718d14e269c9569c4eb0020a968a327acb3b9a8fe6/matplotlib-3.10.8.tar.gz", hash = "sha256:2299372c19d56bcd35cf05a2738308758d32b9eaed2371898d8f5bd33f084aa3", size = 34806269, upload-time = "2025-12-10T22:56:51.155Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/58/be/a30bd917018ad220c400169fba298f2bb7003c8ccbc0c3e24ae2aacad1e8/matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7", size = 8239828, upload-time = "2025-12-10T22:55:02.313Z" }, - { url = "https://files.pythonhosted.org/packages/58/27/ca01e043c4841078e82cf6e80a6993dfecd315c3d79f5f3153afbb8e1ec6/matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656", size = 8128050, upload-time = "2025-12-10T22:55:04.997Z" }, - { url = "https://files.pythonhosted.org/packages/cb/aa/7ab67f2b729ae6a91bcf9dcac0affb95fb8c56f7fd2b2af894ae0b0cf6fa/matplotlib-3.10.8-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ee40c27c795bda6a5292e9cff9890189d32f7e3a0bf04e0e3c9430c4a00c37df", size = 8700452, upload-time = "2025-12-10T22:55:07.47Z" }, - { url = "https://files.pythonhosted.org/packages/73/ae/2d5817b0acee3c49b7e7ccfbf5b273f284957cc8e270adf36375db353190/matplotlib-3.10.8-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a48f2b74020919552ea25d222d5cc6af9ca3f4eb43a93e14d068457f545c2a17", size = 9534928, upload-time = "2025-12-10T22:55:10.566Z" }, - { url = "https://files.pythonhosted.org/packages/c9/5b/8e66653e9f7c39cb2e5cab25fce4810daffa2bff02cbf5f3077cea9e942c/matplotlib-3.10.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f254d118d14a7f99d616271d6c3c27922c092dac11112670b157798b89bf4933", size = 9586377, upload-time = "2025-12-10T22:55:12.362Z" }, - { url = "https://files.pythonhosted.org/packages/e2/e2/fd0bbadf837f81edb0d208ba8f8cb552874c3b16e27cb91a31977d90875d/matplotlib-3.10.8-cp310-cp310-win_amd64.whl", hash = "sha256:f9b587c9c7274c1613a30afabf65a272114cd6cdbe67b3406f818c79d7ab2e2a", size = 8128127, upload-time = "2025-12-10T22:55:14.436Z" }, { url = "https://files.pythonhosted.org/packages/f8/86/de7e3a1cdcfc941483af70609edc06b83e7c8a0e0dc9ac325200a3f4d220/matplotlib-3.10.8-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:6be43b667360fef5c754dda5d25a32e6307a03c204f3c0fc5468b78fa87b4160", size = 8251215, upload-time = "2025-12-10T22:55:16.175Z" }, { url = "https://files.pythonhosted.org/packages/fd/14/baad3222f424b19ce6ad243c71de1ad9ec6b2e4eb1e458a48fdc6d120401/matplotlib-3.10.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2b336e2d91a3d7006864e0990c83b216fcdca64b5a6484912902cef87313d78", size = 8139625, upload-time = "2025-12-10T22:55:17.712Z" }, { url = "https://files.pythonhosted.org/packages/8f/a0/7024215e95d456de5883e6732e708d8187d9753a21d32f8ddb3befc0c445/matplotlib-3.10.8-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb30e3baaea72ce5928e32bab719ab4770099079d66726a62b11b1ef7273be4", size = 8712614, upload-time = "2025-12-10T22:55:20.8Z" }, @@ -2054,9 +1798,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4d/4b/e7beb6bbd49f6bae727a12b270a2654d13c397576d25bd6786e47033300f/matplotlib-3.10.8-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:595ba4d8fe983b88f0eec8c26a241e16d6376fe1979086232f481f8f3f67494c", size = 9614011, upload-time = "2025-12-10T22:56:33.85Z" }, { url = "https://files.pythonhosted.org/packages/7c/e6/76f2813d31f032e65f6f797e3f2f6e4aab95b65015924b1c51370395c28a/matplotlib-3.10.8-cp314-cp314t-win_amd64.whl", hash = "sha256:25d380fe8b1dc32cf8f0b1b448470a77afb195438bafdf1d858bfb876f3edf7b", size = 8362801, upload-time = "2025-12-10T22:56:36.107Z" }, { url = "https://files.pythonhosted.org/packages/5d/49/d651878698a0b67f23aa28e17f45a6d6dd3d3f933fa29087fa4ce5947b5a/matplotlib-3.10.8-cp314-cp314t-win_arm64.whl", hash = "sha256:113bb52413ea508ce954a02c10ffd0d565f9c3bc7f2eddc27dfe1731e71c7b5f", size = 8192560, upload-time = "2025-12-10T22:56:38.008Z" }, - { url = "https://files.pythonhosted.org/packages/f5/43/31d59500bb950b0d188e149a2e552040528c13d6e3d6e84d0cccac593dcd/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f97aeb209c3d2511443f8797e3e5a569aebb040d4f8bc79aa3ee78a8fb9e3dd8", size = 8237252, upload-time = "2025-12-10T22:56:39.529Z" }, - { url = "https://files.pythonhosted.org/packages/0c/2c/615c09984f3c5f907f51c886538ad785cf72e0e11a3225de2c0f9442aecc/matplotlib-3.10.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fb061f596dad3a0f52b60dc6a5dec4a0c300dec41e058a7efe09256188d170b7", size = 8124693, upload-time = "2025-12-10T22:56:41.758Z" }, - { url = "https://files.pythonhosted.org/packages/91/e1/2757277a1c56041e1fc104b51a0f7b9a4afc8eb737865d63cababe30bc61/matplotlib-3.10.8-pp310-pypy310_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:12d90df9183093fcd479f4172ac26b322b1248b15729cb57f42f71f24c7e37a3", size = 8702205, upload-time = "2025-12-10T22:56:43.415Z" }, { url = "https://files.pythonhosted.org/packages/04/30/3afaa31c757f34b7725ab9d2ba8b48b5e89c2019c003e7d0ead143aabc5a/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6da7c2ce169267d0d066adcf63758f0604aa6c3eebf67458930f9d9b79ad1db1", size = 8249198, upload-time = "2025-12-10T22:56:45.584Z" }, { url = "https://files.pythonhosted.org/packages/48/2f/6334aec331f57485a642a7c8be03cb286f29111ae71c46c38b363230063c/matplotlib-3.10.8-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:9153c3292705be9f9c64498a8872118540c3f4123d1a1c840172edf262c8be4a", size = 8136817, upload-time = "2025-12-10T22:56:47.339Z" }, { url = "https://files.pythonhosted.org/packages/73/e4/6d6f14b2a759c622f191b2d67e9075a3f56aaccb3be4bb9bb6890030d0a0/matplotlib-3.10.8-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ae029229a57cd1e8fe542485f27e7ca7b23aa9e8944ddb4985d0bc444f1eca2", size = 8713867, upload-time = "2025-12-10T22:56:48.954Z" }, @@ -2118,8 +1859,7 @@ name = "meshio" version = "5.3.5" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "rich" }, ] sdist = { url = "https://files.pythonhosted.org/packages/20/1e/caa4f15c020de3e3486b4133ca689236bd3863a3d6dd0f58e97ce86a296a/meshio-5.3.5.tar.gz", hash = "sha256:f21f01abd9f29ba06ea119304b3d39e610421cfe93b9dd23362834919f87586d", size = 490922, upload-time = "2024-01-31T15:09:41.731Z" } @@ -2131,9 +1871,6 @@ wheels = [ name = "mistune" version = "3.2.0" source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] sdist = { url = "https://files.pythonhosted.org/packages/9d/55/d01f0c4b45ade6536c51170b9043db8b2ec6ddf4a35c7ea3f5f559ac935b/mistune-3.2.0.tar.gz", hash = "sha256:708487c8a8cdd99c9d90eb3ed4c3ed961246ff78ac82f03418f5183ab70e398a", size = 95467, upload-time = "2025-12-23T11:36:34.994Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/9b/f7/4a5e785ec9fbd65146a27b6b70b6cdc161a66f2024e4b04ac06a67f5578b/mistune-3.2.0-py3-none-any.whl", hash = "sha256:febdc629a3c78616b94393c6580551e0e34cc289987ec6c35ed3f4be42d0eee1", size = 53598, upload-time = "2025-12-23T11:36:33.211Z" }, @@ -2260,7 +1997,6 @@ dependencies = [ { name = "griffelib" }, { name = "mkdocs-autorefs" }, { name = "mkdocstrings" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/29/33/c225eaf898634bdda489a6766fc35d1683c640bffe0e0acd10646b13536d/mkdocstrings_python-2.0.3.tar.gz", hash = "sha256:c518632751cc869439b31c9d3177678ad2bfa5c21b79b863956ad68fc92c13b8", size = 199083, upload-time = "2026-02-20T10:38:36.368Z" } wheels = [ @@ -2290,12 +2026,10 @@ dependencies = [ { name = "jinja2" }, { name = "lazy-loader" }, { name = "matplotlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "packaging" }, { name = "pooch" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy" }, { name = "tqdm" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9b/4f/ed4c27b6179665235a7ce3a738b24a05cafe9fa67f728994361598b27c2f/mne-1.11.0.tar.gz", hash = "sha256:0a89b8fc44133b81218a35cdcba74ad0f8ae2e265136249b365b9ce04864c688", size = 7152794, upload-time = "2025-11-21T19:34:45.907Z" } @@ -2315,17 +2049,12 @@ version = "0.7.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "mne" }, - { name = "netcdf4", version = "1.7.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, - { name = "netcdf4", version = "1.7.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "netcdf4" }, + { name = "numpy" }, + { name = "pandas" }, + { name = "scipy" }, { name = "tqdm" }, - { name = "xarray", version = "2025.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "xarray", version = "2026.2.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "xarray" }, ] sdist = { url = "https://files.pythonhosted.org/packages/ed/50/f6dde9b21140caf1f53bba0126bddc1890bc766c8119c05b4f59d4dfda31/mne_connectivity-0.7.0.tar.gz", hash = "sha256:89f9e11d1843395dd67458f027aedee1a70fdfce97241a7d3f2710164d537864", size = 157293, upload-time = "2024-06-12T15:29:00.628Z" } wheels = [ @@ -2423,52 +2152,17 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c", size = 5195, upload-time = "2024-01-21T14:25:17.223Z" }, ] -[[package]] -name = "netcdf4" -version = "1.7.3" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", -] -dependencies = [ - { name = "certifi", marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, - { name = "cftime", marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0e/76/7bc801796dee752c1ce9cd6935564a6ee79d5c9d9ef9192f57b156495a35/netcdf4-1.7.3.tar.gz", hash = "sha256:83f122fc3415e92b1d4904fd6a0898468b5404c09432c34beb6b16c533884673", size = 836095, upload-time = "2025-10-13T18:38:00.76Z" } - [[package]] name = "netcdf4" version = "1.7.4" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] dependencies = [ - { name = "certifi", marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, - { name = "cftime", marker = "python_full_version >= '3.11' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "certifi" }, + { name = "cftime" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/34/b6/0370bb3af66a12098da06dc5843f3b349b7c83ccbdf7306e7afa6248b533/netcdf4-1.7.4.tar.gz", hash = "sha256:cdbfdc92d6f4d7192ca8506c9b3d4c1d9892969ff28d8e8e1fc97ca08bf12164", size = 838352, upload-time = "2026-01-05T02:27:38.593Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/0f/07/dfdd017641e82fadaf4e043d91fa179d34940c7d69175a3034dea877df9c/netcdf4-1.7.4-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:b1c1a7ea3678db76bf33d14f7e202385d634db38c5e70d8cf4895971023eebb9", size = 23499427, upload-time = "2026-01-05T02:26:54.13Z" }, - { url = "https://files.pythonhosted.org/packages/a7/6c/8cd98d166f30d378488c5235457d6af7df09f9925ab5ad03d6840543f42e/netcdf4-1.7.4-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:d3f9497873454207f9480847d02b1b19a4bc81ad6e9166e1c17d4e2f8f3555d1", size = 22886591, upload-time = "2026-01-05T02:26:57.113Z" }, - { url = "https://files.pythonhosted.org/packages/08/1c/ab31713a95160ebc6b4ec495cd4f03f38b235188a7e955bf33703c5039ca/netcdf4-1.7.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c8e18294af803e80f8c0339f791901942e268c334c099bbd5f7ea8325a49801a", size = 10336881, upload-time = "2026-01-05T02:26:59.382Z" }, - { url = "https://files.pythonhosted.org/packages/26/d7/bb16993af267acda23fe3de4ead2528cbe49043e391f732a1a4a15beec20/netcdf4-1.7.4-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0b06c0b93fd0ecc1ec67a582f3ba98b7db9da1fa843c8f83fd75990e3701771e", size = 10182772, upload-time = "2026-01-05T02:27:01.545Z" }, - { url = "https://files.pythonhosted.org/packages/9b/a6/e6fca338488a896c5e1f661ba3007e83f46700e1a59552b05013d501bc45/netcdf4-1.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:889ba77f084504aebaba9c6f9a88ac213431fef0e897f887cd35aef351ff7740", size = 21363337, upload-time = "2026-01-05T02:27:04.21Z" }, { url = "https://files.pythonhosted.org/packages/38/de/38ed7e1956943d28e8ea74161e97c3a00fb98d6d08943b4fd21bae32c240/netcdf4-1.7.4-cp311-abi3-macosx_13_0_x86_64.whl", hash = "sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8", size = 23427499, upload-time = "2026-01-05T02:27:06.568Z" }, { url = "https://files.pythonhosted.org/packages/e5/70/2f73c133b71709c412bc81d8b721e28dc6237ba9d7dad861b7bfbb70408a/netcdf4-1.7.4-cp311-abi3-macosx_14_0_arm64.whl", hash = "sha256:75cf59100f0775bc4d6b9d4aca7cbabd12e2b8cf3b9a4fb16d810b92743a315a", size = 22847667, upload-time = "2026-01-05T02:27:09.421Z" }, { url = "https://files.pythonhosted.org/packages/77/ce/43a3c0c41a6e2e940d87feea79d29aa88302211ac122604838f8a5a48de6/netcdf4-1.7.4-cp311-abi3-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932", size = 10274769, upload-time = "2026-01-05T21:31:19.243Z" }, @@ -2487,37 +2181,10 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/af/2e/39d5e9179c543f2e6e149a65908f83afd9b6d64379a90789b323111761db/netcdf4-1.7.4-cp314-cp314t-win_arm64.whl", hash = "sha256:034220887d48da032cb2db5958f69759dbb04eb33e279ec6390571d4aea734fe", size = 2531682, upload-time = "2026-01-05T02:27:37.062Z" }, ] -[[package]] -name = "networkx" -version = "3.4.2" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -sdist = { url = "https://files.pythonhosted.org/packages/fd/1d/06475e1cd5264c0b870ea2cc6fdb3e37177c1e565c43f56ff17a10e3937f/networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1", size = 2151368, upload-time = "2024-10-21T12:39:38.695Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f", size = 1723263, upload-time = "2024-10-21T12:39:36.247Z" }, -] - [[package]] name = "networkx" version = "3.6.1" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] sdist = { url = "https://files.pythonhosted.org/packages/6a/51/63fe664f3908c97be9d2e4f1158eb633317598cfa6e1fc14af5383f17512/networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509", size = 2517025, upload-time = "2025-12-08T17:02:39.908Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/9e/c9/b2622292ea83fbb4ec318f5b9ab867d0a28ab43c5717bb85b0a5f6b3b0a4/networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762", size = 2068504, upload-time = "2025-12-08T17:02:38.159Z" }, @@ -2557,15 +2224,10 @@ version = "0.64.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "llvmlite" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/23/c9/a0fb41787d01d621046138da30f6c2100d80857bf34b3390dd68040f27a3/numba-0.64.0.tar.gz", hash = "sha256:95e7300af648baa3308127b1955b52ce6d11889d16e8cfe637b4f85d2fca52b1", size = 2765679, upload-time = "2026-02-18T18:41:20.974Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/4c/5e/604fed821cd7e3426bb3bc99a7ed6ac0bcb489f4cd93052256437d082f95/numba-0.64.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cc09b79440952e3098eeebea4bf6e8d2355fb7f12734fcd9fc5039f0dca90727", size = 2683250, upload-time = "2026-02-18T18:40:45.829Z" }, - { url = "https://files.pythonhosted.org/packages/4f/9f/9275a723d050b5f1a9b1c7fb7dbfce324fef301a8e50c5f88338569db06c/numba-0.64.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1afe3a80b8c2f376b211fb7a49e536ef9eafc92436afc95a2f41ea5392f8cc65", size = 3742168, upload-time = "2026-02-18T18:40:48.066Z" }, - { url = "https://files.pythonhosted.org/packages/e2/d1/97ca7dddaa36b16f4c46319bdb6b4913ba15d0245317d0d8ccde7b2d7d92/numba-0.64.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23804194b93b8cd416c6444b5fbc4956082a45fed2d25436ef49c594666e7f7e", size = 3449103, upload-time = "2026-02-18T18:40:49.905Z" }, - { url = "https://files.pythonhosted.org/packages/52/0a/b9e137ad78415373e3353564500e8bf29dbce3c0d73633bb384d4e5d7537/numba-0.64.0-cp310-cp310-win_amd64.whl", hash = "sha256:e2a9fe998bb2cf848960b34db02c2c3b5e02cf82c07a26d9eef3494069740278", size = 2749950, upload-time = "2026-02-18T18:40:51.536Z" }, { url = "https://files.pythonhosted.org/packages/89/a3/1a4286a1c16136c8896d8e2090d950e79b3ec626d3a8dc9620f6234d5a38/numba-0.64.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:766156ee4b8afeeb2b2e23c81307c5d19031f18d5ce76ae2c5fb1429e72fa92b", size = 2682938, upload-time = "2026-02-18T18:40:52.897Z" }, { url = "https://files.pythonhosted.org/packages/19/16/aa6e3ba3cd45435c117d1101b278b646444ed05b7c712af631b91353f573/numba-0.64.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d17071b4ffc9d39b75d8e6c101a36f0c81b646123859898c9799cb31807c8f78", size = 3747376, upload-time = "2026-02-18T18:40:54.925Z" }, { url = "https://files.pythonhosted.org/packages/c0/f1/dd2f25e18d75fdf897f730b78c5a7b00cc4450f2405564dbebfaf359f21f/numba-0.64.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4ead5630434133bac87fa67526eacb264535e4e9a2d5ec780e0b4fc381a7d275", size = 3453292, upload-time = "2026-02-18T18:40:56.818Z" }, @@ -2584,90 +2246,10 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b5/00/aebd2f7f1e11e38814bb96e95a27580817a7b340608d3ac085fdbab83174/numba-0.64.0-cp314-cp314-win_amd64.whl", hash = "sha256:213e9acbe7f1c05090592e79020315c1749dd52517b90e94c517dca3f014d4a1", size = 2754700, upload-time = "2026-02-18T18:41:19.277Z" }, ] -[[package]] -name = "numpy" -version = "2.2.6" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -sdist = { url = "https://files.pythonhosted.org/packages/76/21/7d2a95e4bba9dc13d043ee156a356c0a8f0c6309dff6b21b4d71a073b8a8/numpy-2.2.6.tar.gz", hash = "sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd", size = 20276440, upload-time = "2025-05-17T22:38:04.611Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9a/3e/ed6db5be21ce87955c0cbd3009f2803f59fa08df21b5df06862e2d8e2bdd/numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb", size = 21165245, upload-time = "2025-05-17T21:27:58.555Z" }, - { url = "https://files.pythonhosted.org/packages/22/c2/4b9221495b2a132cc9d2eb862e21d42a009f5a60e45fc44b00118c174bff/numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90", size = 14360048, upload-time = "2025-05-17T21:28:21.406Z" }, - { url = "https://files.pythonhosted.org/packages/fd/77/dc2fcfc66943c6410e2bf598062f5959372735ffda175b39906d54f02349/numpy-2.2.6-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:37e990a01ae6ec7fe7fa1c26c55ecb672dd98b19c3d0e1d1f326fa13cb38d163", size = 5340542, upload-time = "2025-05-17T21:28:30.931Z" }, - { url = "https://files.pythonhosted.org/packages/7a/4f/1cb5fdc353a5f5cc7feb692db9b8ec2c3d6405453f982435efc52561df58/numpy-2.2.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:5a6429d4be8ca66d889b7cf70f536a397dc45ba6faeb5f8c5427935d9592e9cf", size = 6878301, upload-time = "2025-05-17T21:28:41.613Z" }, - { url = "https://files.pythonhosted.org/packages/eb/17/96a3acd228cec142fcb8723bd3cc39c2a474f7dcf0a5d16731980bcafa95/numpy-2.2.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efd28d4e9cd7d7a8d39074a4d44c63eda73401580c5c76acda2ce969e0a38e83", size = 14297320, upload-time = "2025-05-17T21:29:02.78Z" }, - { url = "https://files.pythonhosted.org/packages/b4/63/3de6a34ad7ad6646ac7d2f55ebc6ad439dbbf9c4370017c50cf403fb19b5/numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc7b73d02efb0e18c000e9ad8b83480dfcd5dfd11065997ed4c6747470ae8915", size = 16801050, upload-time = "2025-05-17T21:29:27.675Z" }, - { url = "https://files.pythonhosted.org/packages/07/b6/89d837eddef52b3d0cec5c6ba0456c1bf1b9ef6a6672fc2b7873c3ec4e2e/numpy-2.2.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:74d4531beb257d2c3f4b261bfb0fc09e0f9ebb8842d82a7b4209415896adc680", size = 15807034, upload-time = "2025-05-17T21:29:51.102Z" }, - { url = "https://files.pythonhosted.org/packages/01/c8/dc6ae86e3c61cfec1f178e5c9f7858584049b6093f843bca541f94120920/numpy-2.2.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8fc377d995680230e83241d8a96def29f204b5782f371c532579b4f20607a289", size = 18614185, upload-time = "2025-05-17T21:30:18.703Z" }, - { url = "https://files.pythonhosted.org/packages/5b/c5/0064b1b7e7c89137b471ccec1fd2282fceaae0ab3a9550f2568782d80357/numpy-2.2.6-cp310-cp310-win32.whl", hash = "sha256:b093dd74e50a8cba3e873868d9e93a85b78e0daf2e98c6797566ad8044e8363d", size = 6527149, upload-time = "2025-05-17T21:30:29.788Z" }, - { url = "https://files.pythonhosted.org/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl", hash = "sha256:f0fd6321b839904e15c46e0d257fdd101dd7f530fe03fd6359c1ea63738703f3", size = 12904620, upload-time = "2025-05-17T21:30:48.994Z" }, - { url = "https://files.pythonhosted.org/packages/da/a8/4f83e2aa666a9fbf56d6118faaaf5f1974d456b1823fda0a176eff722839/numpy-2.2.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f9f1adb22318e121c5c69a09142811a201ef17ab257a1e66ca3025065b7f53ae", size = 21176963, upload-time = "2025-05-17T21:31:19.36Z" }, - { url = "https://files.pythonhosted.org/packages/b3/2b/64e1affc7972decb74c9e29e5649fac940514910960ba25cd9af4488b66c/numpy-2.2.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c820a93b0255bc360f53eca31a0e676fd1101f673dda8da93454a12e23fc5f7a", size = 14406743, upload-time = "2025-05-17T21:31:41.087Z" }, - { url = "https://files.pythonhosted.org/packages/4a/9f/0121e375000b5e50ffdd8b25bf78d8e1a5aa4cca3f185d41265198c7b834/numpy-2.2.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3d70692235e759f260c3d837193090014aebdf026dfd167834bcba43e30c2a42", size = 5352616, upload-time = "2025-05-17T21:31:50.072Z" }, - { url = "https://files.pythonhosted.org/packages/31/0d/b48c405c91693635fbe2dcd7bc84a33a602add5f63286e024d3b6741411c/numpy-2.2.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:481b49095335f8eed42e39e8041327c05b0f6f4780488f61286ed3c01368d491", size = 6889579, upload-time = "2025-05-17T21:32:01.712Z" }, - { url = "https://files.pythonhosted.org/packages/52/b8/7f0554d49b565d0171eab6e99001846882000883998e7b7d9f0d98b1f934/numpy-2.2.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b64d8d4d17135e00c8e346e0a738deb17e754230d7e0810ac5012750bbd85a5a", size = 14312005, upload-time = "2025-05-17T21:32:23.332Z" }, - { url = "https://files.pythonhosted.org/packages/b3/dd/2238b898e51bd6d389b7389ffb20d7f4c10066d80351187ec8e303a5a475/numpy-2.2.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba10f8411898fc418a521833e014a77d3ca01c15b0c6cdcce6a0d2897e6dbbdf", size = 16821570, upload-time = "2025-05-17T21:32:47.991Z" }, - { url = "https://files.pythonhosted.org/packages/83/6c/44d0325722cf644f191042bf47eedad61c1e6df2432ed65cbe28509d404e/numpy-2.2.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:bd48227a919f1bafbdda0583705e547892342c26fb127219d60a5c36882609d1", size = 15818548, upload-time = "2025-05-17T21:33:11.728Z" }, - { url = "https://files.pythonhosted.org/packages/ae/9d/81e8216030ce66be25279098789b665d49ff19eef08bfa8cb96d4957f422/numpy-2.2.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9551a499bf125c1d4f9e250377c1ee2eddd02e01eac6644c080162c0c51778ab", size = 18620521, upload-time = "2025-05-17T21:33:39.139Z" }, - { url = "https://files.pythonhosted.org/packages/6a/fd/e19617b9530b031db51b0926eed5345ce8ddc669bb3bc0044b23e275ebe8/numpy-2.2.6-cp311-cp311-win32.whl", hash = "sha256:0678000bb9ac1475cd454c6b8c799206af8107e310843532b04d49649c717a47", size = 6525866, upload-time = "2025-05-17T21:33:50.273Z" }, - { url = "https://files.pythonhosted.org/packages/31/0a/f354fb7176b81747d870f7991dc763e157a934c717b67b58456bc63da3df/numpy-2.2.6-cp311-cp311-win_amd64.whl", hash = "sha256:e8213002e427c69c45a52bbd94163084025f533a55a59d6f9c5b820774ef3303", size = 12907455, upload-time = "2025-05-17T21:34:09.135Z" }, - { url = "https://files.pythonhosted.org/packages/82/5d/c00588b6cf18e1da539b45d3598d3557084990dcc4331960c15ee776ee41/numpy-2.2.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:41c5a21f4a04fa86436124d388f6ed60a9343a6f767fced1a8a71c3fbca038ff", size = 20875348, upload-time = "2025-05-17T21:34:39.648Z" }, - { url = "https://files.pythonhosted.org/packages/66/ee/560deadcdde6c2f90200450d5938f63a34b37e27ebff162810f716f6a230/numpy-2.2.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:de749064336d37e340f640b05f24e9e3dd678c57318c7289d222a8a2f543e90c", size = 14119362, upload-time = "2025-05-17T21:35:01.241Z" }, - { url = "https://files.pythonhosted.org/packages/3c/65/4baa99f1c53b30adf0acd9a5519078871ddde8d2339dc5a7fde80d9d87da/numpy-2.2.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:894b3a42502226a1cac872f840030665f33326fc3dac8e57c607905773cdcde3", size = 5084103, upload-time = "2025-05-17T21:35:10.622Z" }, - { url = "https://files.pythonhosted.org/packages/cc/89/e5a34c071a0570cc40c9a54eb472d113eea6d002e9ae12bb3a8407fb912e/numpy-2.2.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:71594f7c51a18e728451bb50cc60a3ce4e6538822731b2933209a1f3614e9282", size = 6625382, upload-time = "2025-05-17T21:35:21.414Z" }, - { url = "https://files.pythonhosted.org/packages/f8/35/8c80729f1ff76b3921d5c9487c7ac3de9b2a103b1cd05e905b3090513510/numpy-2.2.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2618db89be1b4e05f7a1a847a9c1c0abd63e63a1607d892dd54668dd92faf87", size = 14018462, upload-time = "2025-05-17T21:35:42.174Z" }, - { url = "https://files.pythonhosted.org/packages/8c/3d/1e1db36cfd41f895d266b103df00ca5b3cbe965184df824dec5c08c6b803/numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd83c01228a688733f1ded5201c678f0c53ecc1006ffbc404db9f7a899ac6249", size = 16527618, upload-time = "2025-05-17T21:36:06.711Z" }, - { url = "https://files.pythonhosted.org/packages/61/c6/03ed30992602c85aa3cd95b9070a514f8b3c33e31124694438d88809ae36/numpy-2.2.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:37c0ca431f82cd5fa716eca9506aefcabc247fb27ba69c5062a6d3ade8cf8f49", size = 15505511, upload-time = "2025-05-17T21:36:29.965Z" }, - { url = "https://files.pythonhosted.org/packages/b7/25/5761d832a81df431e260719ec45de696414266613c9ee268394dd5ad8236/numpy-2.2.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:fe27749d33bb772c80dcd84ae7e8df2adc920ae8297400dabec45f0dedb3f6de", size = 18313783, upload-time = "2025-05-17T21:36:56.883Z" }, - { url = "https://files.pythonhosted.org/packages/57/0a/72d5a3527c5ebffcd47bde9162c39fae1f90138c961e5296491ce778e682/numpy-2.2.6-cp312-cp312-win32.whl", hash = "sha256:4eeaae00d789f66c7a25ac5f34b71a7035bb474e679f410e5e1a94deb24cf2d4", size = 6246506, upload-time = "2025-05-17T21:37:07.368Z" }, - { url = "https://files.pythonhosted.org/packages/36/fa/8c9210162ca1b88529ab76b41ba02d433fd54fecaf6feb70ef9f124683f1/numpy-2.2.6-cp312-cp312-win_amd64.whl", hash = "sha256:c1f9540be57940698ed329904db803cf7a402f3fc200bfe599334c9bd84a40b2", size = 12614190, upload-time = "2025-05-17T21:37:26.213Z" }, - { url = "https://files.pythonhosted.org/packages/f9/5c/6657823f4f594f72b5471f1db1ab12e26e890bb2e41897522d134d2a3e81/numpy-2.2.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0811bb762109d9708cca4d0b13c4f67146e3c3b7cf8d34018c722adb2d957c84", size = 20867828, upload-time = "2025-05-17T21:37:56.699Z" }, - { url = "https://files.pythonhosted.org/packages/dc/9e/14520dc3dadf3c803473bd07e9b2bd1b69bc583cb2497b47000fed2fa92f/numpy-2.2.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:287cc3162b6f01463ccd86be154f284d0893d2b3ed7292439ea97eafa8170e0b", size = 14143006, upload-time = "2025-05-17T21:38:18.291Z" }, - { url = "https://files.pythonhosted.org/packages/4f/06/7e96c57d90bebdce9918412087fc22ca9851cceaf5567a45c1f404480e9e/numpy-2.2.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f1372f041402e37e5e633e586f62aa53de2eac8d98cbfb822806ce4bbefcb74d", size = 5076765, upload-time = "2025-05-17T21:38:27.319Z" }, - { url = "https://files.pythonhosted.org/packages/73/ed/63d920c23b4289fdac96ddbdd6132e9427790977d5457cd132f18e76eae0/numpy-2.2.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:55a4d33fa519660d69614a9fad433be87e5252f4b03850642f88993f7b2ca566", size = 6617736, upload-time = "2025-05-17T21:38:38.141Z" }, - { url = "https://files.pythonhosted.org/packages/85/c5/e19c8f99d83fd377ec8c7e0cf627a8049746da54afc24ef0a0cb73d5dfb5/numpy-2.2.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92729c95468a2f4f15e9bb94c432a9229d0d50de67304399627a943201baa2f", size = 14010719, upload-time = "2025-05-17T21:38:58.433Z" }, - { url = "https://files.pythonhosted.org/packages/19/49/4df9123aafa7b539317bf6d342cb6d227e49f7a35b99c287a6109b13dd93/numpy-2.2.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1bc23a79bfabc5d056d106f9befb8d50c31ced2fbc70eedb8155aec74a45798f", size = 16526072, upload-time = "2025-05-17T21:39:22.638Z" }, - { url = "https://files.pythonhosted.org/packages/b2/6c/04b5f47f4f32f7c2b0e7260442a8cbcf8168b0e1a41ff1495da42f42a14f/numpy-2.2.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e3143e4451880bed956e706a3220b4e5cf6172ef05fcc397f6f36a550b1dd868", size = 15503213, upload-time = "2025-05-17T21:39:45.865Z" }, - { url = "https://files.pythonhosted.org/packages/17/0a/5cd92e352c1307640d5b6fec1b2ffb06cd0dabe7d7b8227f97933d378422/numpy-2.2.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b4f13750ce79751586ae2eb824ba7e1e8dba64784086c98cdbbcc6a42112ce0d", size = 18316632, upload-time = "2025-05-17T21:40:13.331Z" }, - { url = "https://files.pythonhosted.org/packages/f0/3b/5cba2b1d88760ef86596ad0f3d484b1cbff7c115ae2429678465057c5155/numpy-2.2.6-cp313-cp313-win32.whl", hash = "sha256:5beb72339d9d4fa36522fc63802f469b13cdbe4fdab4a288f0c441b74272ebfd", size = 6244532, upload-time = "2025-05-17T21:43:46.099Z" }, - { url = "https://files.pythonhosted.org/packages/cb/3b/d58c12eafcb298d4e6d0d40216866ab15f59e55d148a5658bb3132311fcf/numpy-2.2.6-cp313-cp313-win_amd64.whl", hash = "sha256:b0544343a702fa80c95ad5d3d608ea3599dd54d4632df855e4c8d24eb6ecfa1c", size = 12610885, upload-time = "2025-05-17T21:44:05.145Z" }, - { url = "https://files.pythonhosted.org/packages/6b/9e/4bf918b818e516322db999ac25d00c75788ddfd2d2ade4fa66f1f38097e1/numpy-2.2.6-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0bca768cd85ae743b2affdc762d617eddf3bcf8724435498a1e80132d04879e6", size = 20963467, upload-time = "2025-05-17T21:40:44Z" }, - { url = "https://files.pythonhosted.org/packages/61/66/d2de6b291507517ff2e438e13ff7b1e2cdbdb7cb40b3ed475377aece69f9/numpy-2.2.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:fc0c5673685c508a142ca65209b4e79ed6740a4ed6b2267dbba90f34b0b3cfda", size = 14225144, upload-time = "2025-05-17T21:41:05.695Z" }, - { url = "https://files.pythonhosted.org/packages/e4/25/480387655407ead912e28ba3a820bc69af9adf13bcbe40b299d454ec011f/numpy-2.2.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5bd4fc3ac8926b3819797a7c0e2631eb889b4118a9898c84f585a54d475b7e40", size = 5200217, upload-time = "2025-05-17T21:41:15.903Z" }, - { url = "https://files.pythonhosted.org/packages/aa/4a/6e313b5108f53dcbf3aca0c0f3e9c92f4c10ce57a0a721851f9785872895/numpy-2.2.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:fee4236c876c4e8369388054d02d0e9bb84821feb1a64dd59e137e6511a551f8", size = 6712014, upload-time = "2025-05-17T21:41:27.321Z" }, - { url = "https://files.pythonhosted.org/packages/b7/30/172c2d5c4be71fdf476e9de553443cf8e25feddbe185e0bd88b096915bcc/numpy-2.2.6-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e1dda9c7e08dc141e0247a5b8f49cf05984955246a327d4c48bda16821947b2f", size = 14077935, upload-time = "2025-05-17T21:41:49.738Z" }, - { url = "https://files.pythonhosted.org/packages/12/fb/9e743f8d4e4d3c710902cf87af3512082ae3d43b945d5d16563f26ec251d/numpy-2.2.6-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f447e6acb680fd307f40d3da4852208af94afdfab89cf850986c3ca00562f4fa", size = 16600122, upload-time = "2025-05-17T21:42:14.046Z" }, - { url = "https://files.pythonhosted.org/packages/12/75/ee20da0e58d3a66f204f38916757e01e33a9737d0b22373b3eb5a27358f9/numpy-2.2.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:389d771b1623ec92636b0786bc4ae56abafad4a4c513d36a55dce14bd9ce8571", size = 15586143, upload-time = "2025-05-17T21:42:37.464Z" }, - { url = "https://files.pythonhosted.org/packages/76/95/bef5b37f29fc5e739947e9ce5179ad402875633308504a52d188302319c8/numpy-2.2.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8e9ace4a37db23421249ed236fdcdd457d671e25146786dfc96835cd951aa7c1", size = 18385260, upload-time = "2025-05-17T21:43:05.189Z" }, - { url = "https://files.pythonhosted.org/packages/09/04/f2f83279d287407cf36a7a8053a5abe7be3622a4363337338f2585e4afda/numpy-2.2.6-cp313-cp313t-win32.whl", hash = "sha256:038613e9fb8c72b0a41f025a7e4c3f0b7a1b5d768ece4796b674c8f3fe13efff", size = 6377225, upload-time = "2025-05-17T21:43:16.254Z" }, - { url = "https://files.pythonhosted.org/packages/67/0e/35082d13c09c02c011cf21570543d202ad929d961c02a147493cb0c2bdf5/numpy-2.2.6-cp313-cp313t-win_amd64.whl", hash = "sha256:6031dd6dfecc0cf9f668681a37648373bddd6421fff6c66ec1624eed0180ee06", size = 12771374, upload-time = "2025-05-17T21:43:35.479Z" }, - { url = "https://files.pythonhosted.org/packages/9e/3b/d94a75f4dbf1ef5d321523ecac21ef23a3cd2ac8b78ae2aac40873590229/numpy-2.2.6-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0b605b275d7bd0c640cad4e5d30fa701a8d59302e127e5f79138ad62762c3e3d", size = 21040391, upload-time = "2025-05-17T21:44:35.948Z" }, - { url = "https://files.pythonhosted.org/packages/17/f4/09b2fa1b58f0fb4f7c7963a1649c64c4d315752240377ed74d9cd878f7b5/numpy-2.2.6-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:7befc596a7dc9da8a337f79802ee8adb30a552a94f792b9c9d18c840055907db", size = 6786754, upload-time = "2025-05-17T21:44:47.446Z" }, - { url = "https://files.pythonhosted.org/packages/af/30/feba75f143bdc868a1cc3f44ccfa6c4b9ec522b36458e738cd00f67b573f/numpy-2.2.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce47521a4754c8f4593837384bd3424880629f718d87c5d44f8ed763edd63543", size = 16643476, upload-time = "2025-05-17T21:45:11.871Z" }, - { url = "https://files.pythonhosted.org/packages/37/48/ac2a9584402fb6c0cd5b5d1a91dcf176b15760130dd386bbafdbfe3640bf/numpy-2.2.6-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d042d24c90c41b54fd506da306759e06e568864df8ec17ccc17e9e884634fd00", size = 12812666, upload-time = "2025-05-17T21:45:31.426Z" }, -] - [[package]] name = "numpy" version = "2.4.3" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] sdist = { url = "https://files.pythonhosted.org/packages/10/8b/c265f4823726ab832de836cdd184d0986dcf94480f81e8739692a7ac7af2/numpy-2.4.3.tar.gz", hash = "sha256:483a201202b73495f00dbc83796c6ae63137a9bdade074f7648b3e32613412dd", size = 20727743, upload-time = "2026-03-09T07:58:53.426Z" } wheels = [ { url = "https://files.pythonhosted.org/packages/f9/51/5093a2df15c4dc19da3f79d1021e891f5dcf1d9d1db6ba38891d5590f3fe/numpy-2.4.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:33b3bf58ee84b172c067f56aeadc7ee9ab6de69c5e800ab5b10295d54c581adb", size = 16957183, upload-time = "2026-03-09T07:55:57.774Z" }, @@ -2780,7 +2362,7 @@ name = "nvidia-cudnn-cu12" version = "9.10.2.21" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" }, @@ -2791,7 +2373,7 @@ name = "nvidia-cufft-cu12" version = "11.3.3.83" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" }, @@ -2818,9 +2400,9 @@ name = "nvidia-cusolver-cu12" version = "11.7.3.90" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, - { name = "nvidia-cusparse-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, - { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-cublas-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "nvidia-cusparse-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" }, @@ -2831,7 +2413,7 @@ name = "nvidia-cusparse-cu12" version = "12.5.8.93" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "nvidia-nvjitlink-cu12", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" }, @@ -2896,19 +2478,6 @@ version = "3.11.7" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/53/45/b268004f745ede84e5798b48ee12b05129d19235d0e15267aa57dcdb400b/orjson-3.11.7.tar.gz", hash = "sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49", size = 6144992, upload-time = "2026-02-02T15:38:49.29Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/de/1a/a373746fa6d0e116dd9e54371a7b54622c44d12296d5d0f3ad5e3ff33490/orjson-3.11.7-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a02c833f38f36546ba65a452127633afce4cf0dd7296b753d3bb54e55e5c0174", size = 229140, upload-time = "2026-02-02T15:37:06.082Z" }, - { url = "https://files.pythonhosted.org/packages/52/a2/fa129e749d500f9b183e8a3446a193818a25f60261e9ce143ad61e975208/orjson-3.11.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b63c6e6738d7c3470ad01601e23376aa511e50e1f3931395b9f9c722406d1a67", size = 128670, upload-time = "2026-02-02T15:37:08.002Z" }, - { url = "https://files.pythonhosted.org/packages/08/93/1e82011cd1e0bd051ef9d35bed1aa7fb4ea1f0a055dc2c841b46b43a9ebd/orjson-3.11.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:043d3006b7d32c7e233b8cfb1f01c651013ea079e08dcef7189a29abd8befe11", size = 123832, upload-time = "2026-02-02T15:37:09.191Z" }, - { url = "https://files.pythonhosted.org/packages/fe/d8/a26b431ef962c7d55736674dddade876822f3e33223c1f47a36879350d04/orjson-3.11.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57036b27ac8a25d81112eb0cc9835cd4833c5b16e1467816adc0015f59e870dc", size = 129171, upload-time = "2026-02-02T15:37:11.112Z" }, - { url = "https://files.pythonhosted.org/packages/a7/19/f47819b84a580f490da260c3ee9ade214cf4cf78ac9ce8c1c758f80fdfc9/orjson-3.11.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:733ae23ada68b804b222c44affed76b39e30806d38660bf1eb200520d259cc16", size = 141967, upload-time = "2026-02-02T15:37:12.282Z" }, - { url = "https://files.pythonhosted.org/packages/5b/cd/37ece39a0777ba077fdcdbe4cccae3be8ed00290c14bf8afdc548befc260/orjson-3.11.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5fdfad2093bdd08245f2e204d977facd5f871c88c4a71230d5bcbd0e43bf6222", size = 130991, upload-time = "2026-02-02T15:37:13.465Z" }, - { url = "https://files.pythonhosted.org/packages/8f/ed/f2b5d66aa9b6b5c02ff5f120efc7b38c7c4962b21e6be0f00fd99a5c348e/orjson-3.11.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cededd6738e1c153530793998e31c05086582b08315db48ab66649768f326baa", size = 133674, upload-time = "2026-02-02T15:37:14.694Z" }, - { url = "https://files.pythonhosted.org/packages/c4/6e/baa83e68d1aa09fa8c3e5b2c087d01d0a0bd45256de719ed7bc22c07052d/orjson-3.11.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:14f440c7268c8f8633d1b3d443a434bd70cb15686117ea6beff8fdc8f5917a1e", size = 138722, upload-time = "2026-02-02T15:37:16.501Z" }, - { url = "https://files.pythonhosted.org/packages/0c/47/7f8ef4963b772cd56999b535e553f7eb5cd27e9dd6c049baee6f18bfa05d/orjson-3.11.7-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:3a2479753bbb95b0ebcf7969f562cdb9668e6d12416a35b0dda79febf89cdea2", size = 409056, upload-time = "2026-02-02T15:37:17.895Z" }, - { url = "https://files.pythonhosted.org/packages/38/eb/2df104dd2244b3618f25325a656f85cc3277f74bbd91224752410a78f3c7/orjson-3.11.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:71924496986275a737f38e3f22b4e0878882b3f7a310d2ff4dc96e812789120c", size = 144196, upload-time = "2026-02-02T15:37:19.349Z" }, - { url = "https://files.pythonhosted.org/packages/b6/2a/ee41de0aa3a6686598661eae2b4ebdff1340c65bfb17fcff8b87138aab21/orjson-3.11.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b4a9eefdc70bf8bf9857f0290f973dec534ac84c35cd6a7f4083be43e7170a8f", size = 134979, upload-time = "2026-02-02T15:37:20.906Z" }, - { url = "https://files.pythonhosted.org/packages/4c/fa/92fc5d3d402b87a8b28277a9ed35386218a6a5287c7fe5ee9b9f02c53fb2/orjson-3.11.7-cp310-cp310-win32.whl", hash = "sha256:ae9e0b37a834cef7ce8f99de6498f8fad4a2c0bf6bfc3d02abd8ed56aa15b2de", size = 127968, upload-time = "2026-02-02T15:37:23.178Z" }, - { url = "https://files.pythonhosted.org/packages/07/29/a576bf36d73d60df06904d3844a9df08e25d59eba64363aaf8ec2f9bff41/orjson-3.11.7-cp310-cp310-win_amd64.whl", hash = "sha256:d772afdb22555f0c58cfc741bdae44180122b3616faa1ecadb595cd526e4c993", size = 125128, upload-time = "2026-02-02T15:37:24.329Z" }, { url = "https://files.pythonhosted.org/packages/37/02/da6cb01fc6087048d7f61522c327edf4250f1683a58a839fdcc435746dd5/orjson-3.11.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9487abc2c2086e7c8eb9a211d2ce8855bae0e92586279d0d27b341d5ad76c85c", size = 228664, upload-time = "2026-02-02T15:37:25.542Z" }, { url = "https://files.pythonhosted.org/packages/c1/c2/5885e7a5881dba9a9af51bc564e8967225a642b3e03d089289a35054e749/orjson-3.11.7-cp311-cp311-macosx_15_0_arm64.whl", hash = "sha256:79cacb0b52f6004caf92405a7e1f11e6e2de8bdf9019e4f76b44ba045125cd6b", size = 125344, upload-time = "2026-02-02T15:37:26.92Z" }, { url = "https://files.pythonhosted.org/packages/a4/1d/4e7688de0a92d1caf600dfd5fb70b4c5bfff51dfa61ac555072ef2d0d32a/orjson-3.11.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c2e85fe4698b6a56d5e2ebf7ae87544d668eb6bde1ad1226c13f44663f20ec9e", size = 128404, upload-time = "2026-02-02T15:37:28.108Z" }, @@ -2998,93 +2567,14 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/90/96/04b8e52da071d28f5e21a805b19cb9390aa17a47462ac87f5e2696b9566d/paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591", size = 13746, upload-time = "2024-08-25T14:17:22.55Z" }, ] -[[package]] -name = "pandas" -version = "2.3.3" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "python-dateutil", marker = "python_full_version < '3.11'" }, - { name = "pytz", marker = "python_full_version < '3.11'" }, - { name = "tzdata", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/33/01/d40b85317f86cf08d853a4f495195c73815fdf205eef3993821720274518/pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b", size = 4495223, upload-time = "2025-09-29T23:34:51.853Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3d/f7/f425a00df4fcc22b292c6895c6831c0c8ae1d9fac1e024d16f98a9ce8749/pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c", size = 11555763, upload-time = "2025-09-29T23:16:53.287Z" }, - { url = "https://files.pythonhosted.org/packages/13/4f/66d99628ff8ce7857aca52fed8f0066ce209f96be2fede6cef9f84e8d04f/pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a", size = 10801217, upload-time = "2025-09-29T23:17:04.522Z" }, - { url = "https://files.pythonhosted.org/packages/1d/03/3fc4a529a7710f890a239cc496fc6d50ad4a0995657dccc1d64695adb9f4/pandas-2.3.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5caf26f64126b6c7aec964f74266f435afef1c1b13da3b0636c7518a1fa3e2b1", size = 12148791, upload-time = "2025-09-29T23:17:18.444Z" }, - { url = "https://files.pythonhosted.org/packages/40/a8/4dac1f8f8235e5d25b9955d02ff6f29396191d4e665d71122c3722ca83c5/pandas-2.3.3-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dd7478f1463441ae4ca7308a70e90b33470fa593429f9d4c578dd00d1fa78838", size = 12769373, upload-time = "2025-09-29T23:17:35.846Z" }, - { url = "https://files.pythonhosted.org/packages/df/91/82cc5169b6b25440a7fc0ef3a694582418d875c8e3ebf796a6d6470aa578/pandas-2.3.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4793891684806ae50d1288c9bae9330293ab4e083ccd1c5e383c34549c6e4250", size = 13200444, upload-time = "2025-09-29T23:17:49.341Z" }, - { url = "https://files.pythonhosted.org/packages/10/ae/89b3283800ab58f7af2952704078555fa60c807fff764395bb57ea0b0dbd/pandas-2.3.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:28083c648d9a99a5dd035ec125d42439c6c1c525098c58af0fc38dd1a7a1b3d4", size = 13858459, upload-time = "2025-09-29T23:18:03.722Z" }, - { url = "https://files.pythonhosted.org/packages/85/72/530900610650f54a35a19476eca5104f38555afccda1aa11a92ee14cb21d/pandas-2.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:503cf027cf9940d2ceaa1a93cfb5f8c8c7e6e90720a2850378f0b3f3b1e06826", size = 11346086, upload-time = "2025-09-29T23:18:18.505Z" }, - { url = "https://files.pythonhosted.org/packages/c1/fa/7ac648108144a095b4fb6aa3de1954689f7af60a14cf25583f4960ecb878/pandas-2.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:602b8615ebcc4a0c1751e71840428ddebeb142ec02c786e8ad6b1ce3c8dec523", size = 11578790, upload-time = "2025-09-29T23:18:30.065Z" }, - { url = "https://files.pythonhosted.org/packages/9b/35/74442388c6cf008882d4d4bdfc4109be87e9b8b7ccd097ad1e7f006e2e95/pandas-2.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8fe25fc7b623b0ef6b5009149627e34d2a4657e880948ec3c840e9402e5c1b45", size = 10833831, upload-time = "2025-09-29T23:38:56.071Z" }, - { url = "https://files.pythonhosted.org/packages/fe/e4/de154cbfeee13383ad58d23017da99390b91d73f8c11856f2095e813201b/pandas-2.3.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b468d3dad6ff947df92dcb32ede5b7bd41a9b3cceef0a30ed925f6d01fb8fa66", size = 12199267, upload-time = "2025-09-29T23:18:41.627Z" }, - { url = "https://files.pythonhosted.org/packages/bf/c9/63f8d545568d9ab91476b1818b4741f521646cbdd151c6efebf40d6de6f7/pandas-2.3.3-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b98560e98cb334799c0b07ca7967ac361a47326e9b4e5a7dfb5ab2b1c9d35a1b", size = 12789281, upload-time = "2025-09-29T23:18:56.834Z" }, - { url = "https://files.pythonhosted.org/packages/f2/00/a5ac8c7a0e67fd1a6059e40aa08fa1c52cc00709077d2300e210c3ce0322/pandas-2.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1d37b5848ba49824e5c30bedb9c830ab9b7751fd049bc7914533e01c65f79791", size = 13240453, upload-time = "2025-09-29T23:19:09.247Z" }, - { url = "https://files.pythonhosted.org/packages/27/4d/5c23a5bc7bd209231618dd9e606ce076272c9bc4f12023a70e03a86b4067/pandas-2.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:db4301b2d1f926ae677a751eb2bd0e8c5f5319c9cb3f88b0becbbb0b07b34151", size = 13890361, upload-time = "2025-09-29T23:19:25.342Z" }, - { url = "https://files.pythonhosted.org/packages/8e/59/712db1d7040520de7a4965df15b774348980e6df45c129b8c64d0dbe74ef/pandas-2.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:f086f6fe114e19d92014a1966f43a3e62285109afe874f067f5abbdcbb10e59c", size = 11348702, upload-time = "2025-09-29T23:19:38.296Z" }, - { url = "https://files.pythonhosted.org/packages/9c/fb/231d89e8637c808b997d172b18e9d4a4bc7bf31296196c260526055d1ea0/pandas-2.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6d21f6d74eb1725c2efaa71a2bfc661a0689579b58e9c0ca58a739ff0b002b53", size = 11597846, upload-time = "2025-09-29T23:19:48.856Z" }, - { url = "https://files.pythonhosted.org/packages/5c/bd/bf8064d9cfa214294356c2d6702b716d3cf3bb24be59287a6a21e24cae6b/pandas-2.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3fd2f887589c7aa868e02632612ba39acb0b8948faf5cc58f0850e165bd46f35", size = 10729618, upload-time = "2025-09-29T23:39:08.659Z" }, - { url = "https://files.pythonhosted.org/packages/57/56/cf2dbe1a3f5271370669475ead12ce77c61726ffd19a35546e31aa8edf4e/pandas-2.3.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ecaf1e12bdc03c86ad4a7ea848d66c685cb6851d807a26aa245ca3d2017a1908", size = 11737212, upload-time = "2025-09-29T23:19:59.765Z" }, - { url = "https://files.pythonhosted.org/packages/e5/63/cd7d615331b328e287d8233ba9fdf191a9c2d11b6af0c7a59cfcec23de68/pandas-2.3.3-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b3d11d2fda7eb164ef27ffc14b4fcab16a80e1ce67e9f57e19ec0afaf715ba89", size = 12362693, upload-time = "2025-09-29T23:20:14.098Z" }, - { url = "https://files.pythonhosted.org/packages/a6/de/8b1895b107277d52f2b42d3a6806e69cfef0d5cf1d0ba343470b9d8e0a04/pandas-2.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:a68e15f780eddf2b07d242e17a04aa187a7ee12b40b930bfdd78070556550e98", size = 12771002, upload-time = "2025-09-29T23:20:26.76Z" }, - { url = "https://files.pythonhosted.org/packages/87/21/84072af3187a677c5893b170ba2c8fbe450a6ff911234916da889b698220/pandas-2.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:371a4ab48e950033bcf52b6527eccb564f52dc826c02afd9a1bc0ab731bba084", size = 13450971, upload-time = "2025-09-29T23:20:41.344Z" }, - { url = "https://files.pythonhosted.org/packages/86/41/585a168330ff063014880a80d744219dbf1dd7a1c706e75ab3425a987384/pandas-2.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:a16dcec078a01eeef8ee61bf64074b4e524a2a3f4b3be9326420cabe59c4778b", size = 10992722, upload-time = "2025-09-29T23:20:54.139Z" }, - { url = "https://files.pythonhosted.org/packages/cd/4b/18b035ee18f97c1040d94debd8f2e737000ad70ccc8f5513f4eefad75f4b/pandas-2.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:56851a737e3470de7fa88e6131f41281ed440d29a9268dcbf0002da5ac366713", size = 11544671, upload-time = "2025-09-29T23:21:05.024Z" }, - { url = "https://files.pythonhosted.org/packages/31/94/72fac03573102779920099bcac1c3b05975c2cb5f01eac609faf34bed1ca/pandas-2.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bdcd9d1167f4885211e401b3036c0c8d9e274eee67ea8d0758a256d60704cfe8", size = 10680807, upload-time = "2025-09-29T23:21:15.979Z" }, - { url = "https://files.pythonhosted.org/packages/16/87/9472cf4a487d848476865321de18cc8c920b8cab98453ab79dbbc98db63a/pandas-2.3.3-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e32e7cc9af0f1cc15548288a51a3b681cc2a219faa838e995f7dc53dbab1062d", size = 11709872, upload-time = "2025-09-29T23:21:27.165Z" }, - { url = "https://files.pythonhosted.org/packages/15/07/284f757f63f8a8d69ed4472bfd85122bd086e637bf4ed09de572d575a693/pandas-2.3.3-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:318d77e0e42a628c04dc56bcef4b40de67918f7041c2b061af1da41dcff670ac", size = 12306371, upload-time = "2025-09-29T23:21:40.532Z" }, - { url = "https://files.pythonhosted.org/packages/33/81/a3afc88fca4aa925804a27d2676d22dcd2031c2ebe08aabd0ae55b9ff282/pandas-2.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4e0a175408804d566144e170d0476b15d78458795bb18f1304fb94160cabf40c", size = 12765333, upload-time = "2025-09-29T23:21:55.77Z" }, - { url = "https://files.pythonhosted.org/packages/8d/0f/b4d4ae743a83742f1153464cf1a8ecfafc3ac59722a0b5c8602310cb7158/pandas-2.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:93c2d9ab0fc11822b5eece72ec9587e172f63cff87c00b062f6e37448ced4493", size = 13418120, upload-time = "2025-09-29T23:22:10.109Z" }, - { url = "https://files.pythonhosted.org/packages/4f/c7/e54682c96a895d0c808453269e0b5928a07a127a15704fedb643e9b0a4c8/pandas-2.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:f8bfc0e12dc78f777f323f55c58649591b2cd0c43534e8355c51d3fede5f4dee", size = 10993991, upload-time = "2025-09-29T23:25:04.889Z" }, - { url = "https://files.pythonhosted.org/packages/f9/ca/3f8d4f49740799189e1395812f3bf23b5e8fc7c190827d55a610da72ce55/pandas-2.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:75ea25f9529fdec2d2e93a42c523962261e567d250b0013b16210e1d40d7c2e5", size = 12048227, upload-time = "2025-09-29T23:22:24.343Z" }, - { url = "https://files.pythonhosted.org/packages/0e/5a/f43efec3e8c0cc92c4663ccad372dbdff72b60bdb56b2749f04aa1d07d7e/pandas-2.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:74ecdf1d301e812db96a465a525952f4dde225fdb6d8e5a521d47e1f42041e21", size = 11411056, upload-time = "2025-09-29T23:22:37.762Z" }, - { url = "https://files.pythonhosted.org/packages/46/b1/85331edfc591208c9d1a63a06baa67b21d332e63b7a591a5ba42a10bb507/pandas-2.3.3-cp313-cp313t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6435cb949cb34ec11cc9860246ccb2fdc9ecd742c12d3304989017d53f039a78", size = 11645189, upload-time = "2025-09-29T23:22:51.688Z" }, - { url = "https://files.pythonhosted.org/packages/44/23/78d645adc35d94d1ac4f2a3c4112ab6f5b8999f4898b8cdf01252f8df4a9/pandas-2.3.3-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:900f47d8f20860de523a1ac881c4c36d65efcb2eb850e6948140fa781736e110", size = 12121912, upload-time = "2025-09-29T23:23:05.042Z" }, - { url = "https://files.pythonhosted.org/packages/53/da/d10013df5e6aaef6b425aa0c32e1fc1f3e431e4bcabd420517dceadce354/pandas-2.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:a45c765238e2ed7d7c608fc5bc4a6f88b642f2f01e70c0c23d2224dd21829d86", size = 12712160, upload-time = "2025-09-29T23:23:28.57Z" }, - { url = "https://files.pythonhosted.org/packages/bd/17/e756653095a083d8a37cbd816cb87148debcfcd920129b25f99dd8d04271/pandas-2.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:c4fc4c21971a1a9f4bdb4c73978c7f7256caa3e62b323f70d6cb80db583350bc", size = 13199233, upload-time = "2025-09-29T23:24:24.876Z" }, - { url = "https://files.pythonhosted.org/packages/04/fd/74903979833db8390b73b3a8a7d30d146d710bd32703724dd9083950386f/pandas-2.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:ee15f284898e7b246df8087fc82b87b01686f98ee67d85a17b7ab44143a3a9a0", size = 11540635, upload-time = "2025-09-29T23:25:52.486Z" }, - { url = "https://files.pythonhosted.org/packages/21/00/266d6b357ad5e6d3ad55093a7e8efc7dd245f5a842b584db9f30b0f0a287/pandas-2.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1611aedd912e1ff81ff41c745822980c49ce4a7907537be8692c8dbc31924593", size = 10759079, upload-time = "2025-09-29T23:26:33.204Z" }, - { url = "https://files.pythonhosted.org/packages/ca/05/d01ef80a7a3a12b2f8bbf16daba1e17c98a2f039cbc8e2f77a2c5a63d382/pandas-2.3.3-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6d2cefc361461662ac48810cb14365a365ce864afe85ef1f447ff5a1e99ea81c", size = 11814049, upload-time = "2025-09-29T23:27:15.384Z" }, - { url = "https://files.pythonhosted.org/packages/15/b2/0e62f78c0c5ba7e3d2c5945a82456f4fac76c480940f805e0b97fcbc2f65/pandas-2.3.3-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee67acbbf05014ea6c763beb097e03cd629961c8a632075eeb34247120abcb4b", size = 12332638, upload-time = "2025-09-29T23:27:51.625Z" }, - { url = "https://files.pythonhosted.org/packages/c5/33/dd70400631b62b9b29c3c93d2feee1d0964dc2bae2e5ad7a6c73a7f25325/pandas-2.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:c46467899aaa4da076d5abc11084634e2d197e9460643dd455ac3db5856b24d6", size = 12886834, upload-time = "2025-09-29T23:28:21.289Z" }, - { url = "https://files.pythonhosted.org/packages/d3/18/b5d48f55821228d0d2692b34fd5034bb185e854bdb592e9c640f6290e012/pandas-2.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6253c72c6a1d990a410bc7de641d34053364ef8bcd3126f7e7450125887dffe3", size = 13409925, upload-time = "2025-09-29T23:28:58.261Z" }, - { url = "https://files.pythonhosted.org/packages/a6/3d/124ac75fcd0ecc09b8fdccb0246ef65e35b012030defb0e0eba2cbbbe948/pandas-2.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:1b07204a219b3b7350abaae088f451860223a52cfb8a6c53358e7948735158e5", size = 11109071, upload-time = "2025-09-29T23:32:27.484Z" }, - { url = "https://files.pythonhosted.org/packages/89/9c/0e21c895c38a157e0faa1fb64587a9226d6dd46452cac4532d80c3c4a244/pandas-2.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:2462b1a365b6109d275250baaae7b760fd25c726aaca0054649286bcfbb3e8ec", size = 12048504, upload-time = "2025-09-29T23:29:31.47Z" }, - { url = "https://files.pythonhosted.org/packages/d7/82/b69a1c95df796858777b68fbe6a81d37443a33319761d7c652ce77797475/pandas-2.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:0242fe9a49aa8b4d78a4fa03acb397a58833ef6199e9aa40a95f027bb3a1b6e7", size = 11410702, upload-time = "2025-09-29T23:29:54.591Z" }, - { url = "https://files.pythonhosted.org/packages/f9/88/702bde3ba0a94b8c73a0181e05144b10f13f29ebfc2150c3a79062a8195d/pandas-2.3.3-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a21d830e78df0a515db2b3d2f5570610f5e6bd2e27749770e8bb7b524b89b450", size = 11634535, upload-time = "2025-09-29T23:30:21.003Z" }, - { url = "https://files.pythonhosted.org/packages/a4/1e/1bac1a839d12e6a82ec6cb40cda2edde64a2013a66963293696bbf31fbbb/pandas-2.3.3-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e3ebdb170b5ef78f19bfb71b0dc5dc58775032361fa188e814959b74d726dd5", size = 12121582, upload-time = "2025-09-29T23:30:43.391Z" }, - { url = "https://files.pythonhosted.org/packages/44/91/483de934193e12a3b1d6ae7c8645d083ff88dec75f46e827562f1e4b4da6/pandas-2.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d051c0e065b94b7a3cea50eb1ec32e912cd96dba41647eb24104b6c6c14c5788", size = 12699963, upload-time = "2025-09-29T23:31:10.009Z" }, - { url = "https://files.pythonhosted.org/packages/70/44/5191d2e4026f86a2a109053e194d3ba7a31a2d10a9c2348368c63ed4e85a/pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87", size = 13202175, upload-time = "2025-09-29T23:31:59.173Z" }, -] - [[package]] name = "pandas" version = "3.0.1" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "python-dateutil", marker = "python_full_version >= '3.11'" }, - { name = "tzdata", marker = "(python_full_version >= '3.11' and sys_platform == 'emscripten') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "numpy" }, + { name = "python-dateutil" }, + { name = "tzdata", marker = "sys_platform == 'emscripten' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/2e/0c/b28ed414f080ee0ad153f848586d61d1878f91689950f037f976ce15f6c8/pandas-3.0.1.tar.gz", hash = "sha256:4186a699674af418f655dbd420ed87f50d56b4cd6603784279d9eef6627823c8", size = 4641901, upload-time = "2026-02-17T22:20:16.434Z" } wheels = [ @@ -3169,8 +2659,7 @@ name = "patsy" version = "1.0.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/be/44/ed13eccdd0519eff265f44b670d46fbb0ec813e2274932dc1c0e48520f7d/patsy-1.0.2.tar.gz", hash = "sha256:cdc995455f6233e90e22de72c37fcadb344e7586fb83f06696f54d92f8ce74c0", size = 399942, upload-time = "2025-10-20T16:17:37.535Z" } wheels = [ @@ -3182,7 +2671,7 @@ name = "pexpect" version = "4.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "ptyprocess", marker = "(python_full_version < '3.11' and platform_machine != 'ARM64' and sys_platform == 'win32') or (python_full_version < '3.11' and sys_platform == 'emscripten') or (sys_platform != 'emscripten' and sys_platform != 'win32')" }, + { name = "ptyprocess", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/42/92/cc564bf6381ff43ce1f4d06852fc19a2f11d180f23dc32d9588bee2f149d/pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f", size = 166450, upload-time = "2023-11-25T09:07:26.339Z" } wheels = [ @@ -3195,17 +2684,6 @@ version = "12.1.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/1f/42/5c74462b4fd957fcd7b13b04fb3205ff8349236ea74c7c375766d6c82288/pillow-12.1.1.tar.gz", hash = "sha256:9ad8fa5937ab05218e2b6a4cff30295ad35afd2f83ac592e68c0d871bb0fdbc4", size = 46980264, upload-time = "2026-02-11T04:23:07.146Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/1d/30/5bd3d794762481f8c8ae9c80e7b76ecea73b916959eb587521358ef0b2f9/pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0", size = 5304099, upload-time = "2026-02-11T04:20:06.13Z" }, - { url = "https://files.pythonhosted.org/packages/bd/c1/aab9e8f3eeb4490180e357955e15c2ef74b31f64790ff356c06fb6cf6d84/pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713", size = 4657880, upload-time = "2026-02-11T04:20:09.291Z" }, - { url = "https://files.pythonhosted.org/packages/f1/0a/9879e30d56815ad529d3985aeff5af4964202425c27261a6ada10f7cbf53/pillow-12.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b66e95d05ba806247aaa1561f080abc7975daf715c30780ff92a20e4ec546e1b", size = 6222587, upload-time = "2026-02-11T04:20:10.82Z" }, - { url = "https://files.pythonhosted.org/packages/5a/5f/a1b72ff7139e4f89014e8d451442c74a774d5c43cd938fb0a9f878576b37/pillow-12.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89c7e895002bbe49cdc5426150377cbbc04767d7547ed145473f496dfa40408b", size = 8027678, upload-time = "2026-02-11T04:20:12.455Z" }, - { url = "https://files.pythonhosted.org/packages/e2/c2/c7cb187dac79a3d22c3ebeae727abee01e077c8c7d930791dc592f335153/pillow-12.1.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a5cbdcddad0af3da87cb16b60d23648bc3b51967eb07223e9fed77a82b457c4", size = 6335777, upload-time = "2026-02-11T04:20:14.441Z" }, - { url = "https://files.pythonhosted.org/packages/0c/7b/f9b09a7804ec7336effb96c26d37c29d27225783dc1501b7d62dcef6ae25/pillow-12.1.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9f51079765661884a486727f0729d29054242f74b46186026582b4e4769918e4", size = 7027140, upload-time = "2026-02-11T04:20:16.387Z" }, - { url = "https://files.pythonhosted.org/packages/98/b2/2fa3c391550bd421b10849d1a2144c44abcd966daadd2f7c12e19ea988c4/pillow-12.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:99c1506ea77c11531d75e3a412832a13a71c7ebc8192ab9e4b2e355555920e3e", size = 6449855, upload-time = "2026-02-11T04:20:18.554Z" }, - { url = "https://files.pythonhosted.org/packages/96/ff/9caf4b5b950c669263c39e96c78c0d74a342c71c4f43fd031bb5cb7ceac9/pillow-12.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:36341d06738a9f66c8287cf8b876d24b18db9bd8740fa0672c74e259ad408cff", size = 7151329, upload-time = "2026-02-11T04:20:20.646Z" }, - { url = "https://files.pythonhosted.org/packages/7b/f8/4b24841f582704da675ca535935bccb32b00a6da1226820845fac4a71136/pillow-12.1.1-cp310-cp310-win32.whl", hash = "sha256:6c52f062424c523d6c4db85518774cc3d50f5539dd6eed32b8f6229b26f24d40", size = 6325574, upload-time = "2026-02-11T04:20:22.43Z" }, - { url = "https://files.pythonhosted.org/packages/f8/f9/9f6b01c0881d7036063aa6612ef04c0e2cad96be21325a1e92d0203f8e91/pillow-12.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:c6008de247150668a705a6338156efb92334113421ceecf7438a12c9a12dab23", size = 7032347, upload-time = "2026-02-11T04:20:23.932Z" }, - { url = "https://files.pythonhosted.org/packages/79/13/c7922edded3dcdaf10c59297540b72785620abc0538872c819915746757d/pillow-12.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:1a9b0ee305220b392e1124a764ee4265bd063e54a751a6b62eff69992f457fa9", size = 2453457, upload-time = "2026-02-11T04:20:25.392Z" }, { url = "https://files.pythonhosted.org/packages/2b/46/5da1ec4a5171ee7bf1a0efa064aba70ba3d6e0788ce3f5acd1375d23c8c0/pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32", size = 5304084, upload-time = "2026-02-11T04:20:27.501Z" }, { url = "https://files.pythonhosted.org/packages/78/93/a29e9bc02d1cf557a834da780ceccd54e02421627200696fcf805ebdc3fb/pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38", size = 4657866, upload-time = "2026-02-11T04:20:29.827Z" }, { url = "https://files.pythonhosted.org/packages/13/84/583a4558d492a179d31e4aae32eadce94b9acf49c0337c4ce0b70e0a01f2/pillow-12.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d4ce8e329c93845720cd2014659ca67eac35f6433fd3050393d85f3ecef0dad5", size = 6232148, upload-time = "2026-02-11T04:20:31.329Z" }, @@ -3401,13 +2879,6 @@ version = "23.0.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/88/22/134986a4cc224d593c1afde5494d18ff629393d74cc2eddb176669f234a4/pyarrow-23.0.1.tar.gz", hash = "sha256:b8c5873e33440b2bc2f4a79d2b47017a89c5a24116c055625e6f2ee50523f019", size = 1167336, upload-time = "2026-02-16T10:14:12.39Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/bc/a8/24e5dc6855f50a62936ceb004e6e9645e4219a8065f304145d7fb8a79d5d/pyarrow-23.0.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:3fab8f82571844eb3c460f90a75583801d14ca0cc32b1acc8c361650e006fd56", size = 34307390, upload-time = "2026-02-16T10:08:08.654Z" }, - { url = "https://files.pythonhosted.org/packages/bc/8e/4be5617b4aaae0287f621ad31c6036e5f63118cfca0dc57d42121ff49b51/pyarrow-23.0.1-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:3f91c038b95f71ddfc865f11d5876c42f343b4495535bd262c7b321b0b94507c", size = 35853761, upload-time = "2026-02-16T10:08:17.811Z" }, - { url = "https://files.pythonhosted.org/packages/2e/08/3e56a18819462210432ae37d10f5c8eed3828be1d6c751b6e6a2e93c286a/pyarrow-23.0.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:d0744403adabef53c985a7f8a082b502a368510c40d184df349a0a8754533258", size = 44493116, upload-time = "2026-02-16T10:08:25.792Z" }, - { url = "https://files.pythonhosted.org/packages/f8/82/c40b68001dbec8a3faa4c08cd8c200798ac732d2854537c5449dc859f55a/pyarrow-23.0.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:c33b5bf406284fd0bba436ed6f6c3ebe8e311722b441d89397c54f871c6863a2", size = 47564532, upload-time = "2026-02-16T10:08:34.27Z" }, - { url = "https://files.pythonhosted.org/packages/20/bc/73f611989116b6f53347581b02177f9f620efdf3cd3f405d0e83cdf53a83/pyarrow-23.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ddf743e82f69dcd6dbbcb63628895d7161e04e56794ef80550ac6f3315eeb1d5", size = 48183685, upload-time = "2026-02-16T10:08:42.889Z" }, - { url = "https://files.pythonhosted.org/packages/b0/cc/6c6b3ecdae2a8c3aced99956187e8302fc954cc2cca2a37cf2111dad16ce/pyarrow-23.0.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e052a211c5ac9848ae15d5ec875ed0943c0221e2fcfe69eee80b604b4e703222", size = 50605582, upload-time = "2026-02-16T10:08:51.641Z" }, - { url = "https://files.pythonhosted.org/packages/8d/94/d359e708672878d7638a04a0448edf7c707f9e5606cee11e15aaa5c7535a/pyarrow-23.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:5abde149bb3ce524782d838eb67ac095cd3fd6090eba051130589793f1a7f76d", size = 27521148, upload-time = "2026-02-16T10:08:58.077Z" }, { url = "https://files.pythonhosted.org/packages/b0/41/8e6b6ef7e225d4ceead8459427a52afdc23379768f54dd3566014d7618c1/pyarrow-23.0.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:6f0147ee9e0386f519c952cc670eb4a8b05caa594eeffe01af0e25f699e4e9bb", size = 34302230, upload-time = "2026-02-16T10:09:03.859Z" }, { url = "https://files.pythonhosted.org/packages/bf/4a/1472c00392f521fea03ae93408bf445cc7bfa1ab81683faf9bc188e36629/pyarrow-23.0.1-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:0ae6e17c828455b6265d590100c295193f93cc5675eb0af59e49dbd00d2de350", size = 35850050, upload-time = "2026-02-16T10:09:11.877Z" }, { url = "https://files.pythonhosted.org/packages/0c/b2/bd1f2f05ded56af7f54d702c8364c9c43cd6abb91b0e9933f3d77b4f4132/pyarrow-23.0.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:fed7020203e9ef273360b9e45be52a2a47d3103caf156a30ace5247ffb51bdbd", size = 44491918, upload-time = "2026-02-16T10:09:18.144Z" }, @@ -3481,7 +2952,6 @@ dependencies = [ { name = "isort" }, { name = "mccabe" }, { name = "platformdirs" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, { name = "tomlkit" }, ] sdist = { url = "https://files.pythonhosted.org/packages/e4/b6/74d9a8a68b8067efce8d07707fe6a236324ee1e7808d2eb3646ec8517c7d/pylint-4.0.5.tar.gz", hash = "sha256:8cd6a618df75deb013bd7eb98327a95f02a6fb839205a6bbf5456ef96afb317c", size = 1572474, upload-time = "2026-02-20T09:07:33.621Z" } @@ -3495,10 +2965,8 @@ version = "1.2.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "h5py" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "scipy" }, { name = "xmltodict" }, ] sdist = { url = "https://files.pythonhosted.org/packages/6b/a4/0248a06442ee4f3c133e40bd38d3f1329d6c7941ea1c88f0a12b879f109e/pymatreader-1.2.2.tar.gz", hash = "sha256:29a5224705fc5648e84c385b43a0fef2de80a99a8f7e7f7ef60631a94fcab403", size = 37061211, upload-time = "2026-03-03T15:24:59.035Z" } @@ -3564,10 +3032,6 @@ version = "13.11.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/90/24/a753e1af94b9ae5b2da63d4598457308da3cdbf0838c959381db086ccc86/pyqt6_sip-13.11.1.tar.gz", hash = "sha256:869c5b48afe38e55b1ee0dd72182b0886e968cc509b98023ff50010b013ce1be", size = 92574, upload-time = "2026-03-09T13:01:35.418Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/10/5b/99ffdc6382fcd3bc9da24a024ce2ba61e93c9d92ca85f99f381f2e2c8cac/pyqt6_sip-13.11.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a2456a8a68de43f400ffd13f7f8728713434ded374e45fa7754afb9e087b2421", size = 110999, upload-time = "2026-03-09T13:01:01.107Z" }, - { url = "https://files.pythonhosted.org/packages/48/ed/1dbe26f5757ad19601b260cebba0b40c0d868639e3253b26f80e8a1cd9f8/pyqt6_sip-13.11.1-cp310-cp310-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7a1b08421967e68a821d3ea97fcdc8413671aec817a0dc46b844ab4bb2ebab66", size = 280567, upload-time = "2026-03-09T13:01:04.616Z" }, - { url = "https://files.pythonhosted.org/packages/ef/30/cded90fa556be3f6836c44bab5dd06b47664a20ffb47e7fdfa9538d7c5db/pyqt6_sip-13.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd8be768799be1a29857ea0125b1d365021a8a014c1d746f0df6b7ba0400edef", size = 304088, upload-time = "2026-03-09T13:01:02.89Z" }, - { url = "https://files.pythonhosted.org/packages/ee/bb/05665db5d674c557562ec47e5703823e37c4bc943f7b3466c730a0fdeb15/pyqt6_sip-13.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:7677fa1d0e3f933838e5dd8e03ebd6cd4dfc994c9e9b24e8aabd1b3ccecb2430", size = 54032, upload-time = "2026-03-09T13:01:06.316Z" }, { url = "https://files.pythonhosted.org/packages/46/fa/049879f61888462099dcbab495ad16df770cca2432330cca0767ab8e87cb/pyqt6_sip-13.11.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c0ec2128c174db352bec1c8d23a437e970e8d5a78ac50315d8dfc671fcf7a7da", size = 111056, upload-time = "2026-03-09T13:01:07.998Z" }, { url = "https://files.pythonhosted.org/packages/d5/0d/6ee861c53f3f7e6c5dd34a441d17aad1dfb3d50ce1f1a024cc9194ac3db3/pyqt6_sip-13.11.1-cp311-cp311-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:6aa6c15ad3a9bb86e69119baff77b4ac17c47e55ee567abff616a4652051a6cc", size = 289930, upload-time = "2026-03-09T13:01:11.122Z" }, { url = "https://files.pythonhosted.org/packages/ca/39/c975733d7204a594e6ae51d3a810aad539d09718aa3ceeb0dd28cb3276bd/pyqt6_sip-13.11.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ee652b272373c4f9287625ef32ad4ec1f0755c24928dc958a870b7a928b288c", size = 315827, upload-time = "2026-03-09T13:01:09.48Z" }, @@ -3596,12 +3060,10 @@ version = "9.0.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama", marker = "sys_platform == 'win32'" }, - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, { name = "iniconfig" }, { name = "packaging" }, { name = "pluggy" }, { name = "pygments" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" } wheels = [ @@ -3677,11 +3139,6 @@ version = "0.4.1" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/b6/34/b4e015b99031667a7b960f888889c5bd34ef585c85e1cb56a594b92836ac/pytokens-0.4.1.tar.gz", hash = "sha256:292052fe80923aae2260c073f822ceba21f3872ced9a68bb7953b348e561179a", size = 23015, upload-time = "2026-01-30T01:03:45.924Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/42/24/f206113e05cb8ef51b3850e7ef88f20da6f4bf932190ceb48bd3da103e10/pytokens-0.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a44ed93ea23415c54f3face3b65ef2b844d96aeb3455b8a69b3df6beab6acc5", size = 161522, upload-time = "2026-01-30T01:02:50.393Z" }, - { url = "https://files.pythonhosted.org/packages/d4/e9/06a6bf1b90c2ed81a9c7d2544232fe5d2891d1cd480e8a1809ca354a8eb2/pytokens-0.4.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:add8bf86b71a5d9fb5b89f023a80b791e04fba57960aa790cc6125f7f1d39dfe", size = 246945, upload-time = "2026-01-30T01:02:52.399Z" }, - { url = "https://files.pythonhosted.org/packages/69/66/f6fb1007a4c3d8b682d5d65b7c1fb33257587a5f782647091e3408abe0b8/pytokens-0.4.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:670d286910b531c7b7e3c0b453fd8156f250adb140146d234a82219459b9640c", size = 259525, upload-time = "2026-01-30T01:02:53.737Z" }, - { url = "https://files.pythonhosted.org/packages/04/92/086f89b4d622a18418bac74ab5db7f68cf0c21cf7cc92de6c7b919d76c88/pytokens-0.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:4e691d7f5186bd2842c14813f79f8884bb03f5995f0575272009982c5ac6c0f7", size = 262693, upload-time = "2026-01-30T01:02:54.871Z" }, - { url = "https://files.pythonhosted.org/packages/b4/7b/8b31c347cf94a3f900bdde750b2e9131575a61fdb620d3d3c75832262137/pytokens-0.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:27b83ad28825978742beef057bfe406ad6ed524b2d28c252c5de7b4a6dd48fa2", size = 103567, upload-time = "2026-01-30T01:02:56.414Z" }, { url = "https://files.pythonhosted.org/packages/3d/92/790ebe03f07b57e53b10884c329b9a1a308648fc083a6d4a39a10a28c8fc/pytokens-0.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d70e77c55ae8380c91c0c18dea05951482e263982911fc7410b1ffd1dadd3440", size = 160864, upload-time = "2026-01-30T01:02:57.882Z" }, { url = "https://files.pythonhosted.org/packages/13/25/a4f555281d975bfdd1eba731450e2fe3a95870274da73fb12c40aeae7625/pytokens-0.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a58d057208cb9075c144950d789511220b07636dd2e4708d5645d24de666bdc", size = 248565, upload-time = "2026-01-30T01:02:59.912Z" }, { url = "https://files.pythonhosted.org/packages/17/50/bc0394b4ad5b1601be22fa43652173d47e4c9efbf0044c62e9a59b747c56/pytokens-0.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b49750419d300e2b5a3813cf229d4e5a4c728dae470bcc89867a9ad6f25a722d", size = 260824, upload-time = "2026-01-30T01:03:01.471Z" }, @@ -3710,87 +3167,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c6/78/397db326746f0a342855b81216ae1f0a32965deccfd7c830a2dbc66d2483/pytokens-0.4.1-py3-none-any.whl", hash = "sha256:26cef14744a8385f35d0e095dc8b3a7583f6c953c2e3d269c7f82484bf5ad2de", size = 13729, upload-time = "2026-01-30T01:03:45.029Z" }, ] -[[package]] -name = "pytz" -version = "2026.1.post1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/56/db/b8721d71d945e6a8ac63c0fc900b2067181dbb50805958d4d4661cf7d277/pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1", size = 321088, upload-time = "2026-03-03T07:47:50.683Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/10/99/781fe0c827be2742bcc775efefccb3b048a3a9c6ce9aec0cbf4a101677e5/pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a", size = 510489, upload-time = "2026-03-03T07:47:49.167Z" }, -] - -[[package]] -name = "pywavelets" -version = "1.8.0" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/48/45/bfaaab38545a33a9f06c61211fc3bea2e23e8a8e00fedeb8e57feda722ff/pywavelets-1.8.0.tar.gz", hash = "sha256:f3800245754840adc143cbc29534a1b8fc4b8cff6e9d403326bd52b7bb5c35aa", size = 3935274, upload-time = "2024-12-04T19:54:20.593Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/65/7e/c5e398f25c70558ca195dd4144ee004666401f6167084c1e76059d7e68d8/pywavelets-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f5c86fcb203c8e61d1f3d4afbfc08d626c64e4e3708207315577264c724632bf", size = 4323291, upload-time = "2024-12-04T19:53:01.836Z" }, - { url = "https://files.pythonhosted.org/packages/d0/d7/2fc8067c3520ce25f7632b0f47b89d1b75653cab804a42700e95126f2679/pywavelets-1.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fafb5fa126277e1690c3d6329287122fc08e4d25a262ce126e3d81b1f5709308", size = 4291864, upload-time = "2024-12-04T19:53:04.659Z" }, - { url = "https://files.pythonhosted.org/packages/2f/17/a868aa26e45c104613d9069f9d8ec0123687cb6945062d274f20a3992436/pywavelets-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec23dfe6d5a3f4312b12456b8c546aa90a11c1138e425a885987505f0658ae0", size = 4447532, upload-time = "2024-12-04T19:53:06.383Z" }, - { url = "https://files.pythonhosted.org/packages/53/7a/7f5889a57177e2b1182080fc2c52236d1e03a0fad5e0b3d7c5312070c0be/pywavelets-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:880a0197e9fa108939af50a95e97c1bf9b7d3e148e0fad92ea60a9ed8c8947c0", size = 4487695, upload-time = "2024-12-04T19:53:08.84Z" }, - { url = "https://files.pythonhosted.org/packages/f9/e6/04d76d93c158919ef0d8e1d40d1d453168305031eca6733fdc844f7cbb07/pywavelets-1.8.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bfa833d08b60d0bf53a7939fbbf3d98015dd34efe89cbe4e53ced880d085fc1", size = 4473752, upload-time = "2024-12-04T19:53:10.848Z" }, - { url = "https://files.pythonhosted.org/packages/3b/a7/42ea5bbb6055abd312e45b27d931200fd6eed5414a87ec5d62020a4c651b/pywavelets-1.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e10c3fc7f4a796e94da4bca9871be2186a7bb7a3b3536a0ca9376d84263140f0", size = 4504191, upload-time = "2024-12-04T19:53:13.912Z" }, - { url = "https://files.pythonhosted.org/packages/8c/7e/52df87a9e77adfb12c1b8be79a2053f2eb4c2507dec96ebfd2333b15ff03/pywavelets-1.8.0-cp310-cp310-win32.whl", hash = "sha256:31baf4be6940fde72cc85663154360857ac1b93c251822deaf72bb804da95031", size = 4143794, upload-time = "2024-12-04T19:53:16.296Z" }, - { url = "https://files.pythonhosted.org/packages/01/e2/06e08230c26049740b2773952fbb12cc7186e5df655a73b1c30ba493e864/pywavelets-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:560c39f1ff8cb37f8b8ea4b7b6eb8a14f6926c11f5cf8c09f013a58f895ed5bc", size = 4214262, upload-time = "2024-12-04T19:53:17.998Z" }, - { url = "https://files.pythonhosted.org/packages/6c/8a/9f8e794120b55caa1c4ae8d72696111bc408251615f351a8e54a5d8c4d4e/pywavelets-1.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e8dd5be4faed994581a8a4b3c0169be20567a9346e523f0b57f903c8f6722bce", size = 4324170, upload-time = "2024-12-04T19:53:19.66Z" }, - { url = "https://files.pythonhosted.org/packages/3e/b8/f6246be5c78e9fa73fcbba9ab4cbfe0d4dcb79ea5491f28d673a53466134/pywavelets-1.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8d8abaf7c120b151ef309c9ff57e0a44ba9febf49045056dbc1577526ecec6c8", size = 4294254, upload-time = "2024-12-04T19:53:21.767Z" }, - { url = "https://files.pythonhosted.org/packages/2c/dc/ba1f212e9b43117ed28e0fd092e72e817790427400f88937ea742d260153/pywavelets-1.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b43a4c58707b1e8d941bec7f1d83e67c482278575ff0db3189d5c0dfae23a57", size = 4447178, upload-time = "2024-12-04T19:53:23.525Z" }, - { url = "https://files.pythonhosted.org/packages/58/10/e59c162a11d2fedb4454abbf7b74a52390aba5edc9605bf829bfa8708dac/pywavelets-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1aad0b97714e3079a2bfe48e4fb8ccd60778d0427e9ee5e0a9ff922e6c61e4", size = 4486799, upload-time = "2024-12-04T19:53:25.238Z" }, - { url = "https://files.pythonhosted.org/packages/03/ee/90c3d0a0a3bda74e6e097e4c06bff9446ff2a4c90b8617aaf4902c46966b/pywavelets-1.8.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a0e1db96dcf3ce08156859df8b359e9ff66fa15061a1b90e70e020bf4cd077a0", size = 4486403, upload-time = "2024-12-04T19:53:26.954Z" }, - { url = "https://files.pythonhosted.org/packages/05/54/58b87f8b636a9f044f3f9814d2ec696cf25f3b33af97c11811f13c364085/pywavelets-1.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e62c8fb52ab0e8ff212fff9acae681a8f12d68b76c36fe24cc48809d5b6825ba", size = 4515011, upload-time = "2024-12-04T19:53:28.832Z" }, - { url = "https://files.pythonhosted.org/packages/a1/d0/f755cee11ff20668114942d0e777e2b502a8e4665e1fdb2553b587aac637/pywavelets-1.8.0-cp311-cp311-win32.whl", hash = "sha256:bf327528d10de471b04bb725c4e10677fac5a49e13d41bf0d0b3a1f6d7097abf", size = 4139934, upload-time = "2024-12-04T19:53:31.421Z" }, - { url = "https://files.pythonhosted.org/packages/7b/0b/f4b92d4f00565280ea3e62a8e3dc81a667d67ed7bd59232f2f18d55f9aff/pywavelets-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:3814d354dd109e244ffaac3d480d29a5202212fe24570c920268237c8d276f95", size = 4214321, upload-time = "2024-12-04T19:53:33.183Z" }, - { url = "https://files.pythonhosted.org/packages/2d/8b/4870f11559307416470158a5aa6f61e5c2a910f1645a7a836ffae580b7ad/pywavelets-1.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3f431c9e2aff1a2240765eff5e804975d0fcc24c82d6f3d4271243f228e5963b", size = 4326187, upload-time = "2024-12-04T19:53:35.19Z" }, - { url = "https://files.pythonhosted.org/packages/c4/35/66835d889fd7fbf3119c7a9bd9d9bd567fc0bb603dfba408e9226db7cb44/pywavelets-1.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e39b0e2314e928cb850ee89b9042733a10ea044176a495a54dc84d2c98407a51", size = 4295428, upload-time = "2024-12-04T19:53:36.962Z" }, - { url = "https://files.pythonhosted.org/packages/63/1c/42e5130226538c70d4bbbaee00eb1bc06ec3287f7ea43d5fcf85bfc761ce/pywavelets-1.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cae701117f5c7244b7c8d48b9e92a0289637cdc02a9c205e8be83361f0c11fae", size = 4421259, upload-time = "2024-12-04T19:53:39.119Z" }, - { url = "https://files.pythonhosted.org/packages/6f/c5/1ce93657432e22a5debc21e8b52ec6980f819ecb7fa727bb86744224d967/pywavelets-1.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649936baee933e80083788e0adc4d8bc2da7cdd8b10464d3b113475be2cc5308", size = 4447650, upload-time = "2024-12-04T19:53:41.589Z" }, - { url = "https://files.pythonhosted.org/packages/b9/d6/b54ef30daca71824f811f9d2322a978b0a58d27674b8e3af6520f67e9ec6/pywavelets-1.8.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8c68e9d072c536bc646e8bdce443bb1826eeb9aa21b2cb2479a43954dea692a3", size = 4448538, upload-time = "2024-12-04T19:53:44.308Z" }, - { url = "https://files.pythonhosted.org/packages/ce/8c/1688b790e55674667ad644262f174405c2c9873cb13e773432e78b1b33e4/pywavelets-1.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:63f67fa2ee1610445de64f746fb9c1df31980ad13d896ea2331fc3755f49b3ae", size = 4485228, upload-time = "2024-12-04T19:53:46.778Z" }, - { url = "https://files.pythonhosted.org/packages/c9/9b/69de31c3b663dadd76d1da6bf8af68d8cefff55df8e880fe96a94bb8c9ac/pywavelets-1.8.0-cp312-cp312-win32.whl", hash = "sha256:4b3c2ab669c91e3474fd63294355487b7dd23f0b51d32f811327ddf3546f4f3d", size = 4134850, upload-time = "2024-12-04T19:53:49.101Z" }, - { url = "https://files.pythonhosted.org/packages/1c/88/9e2aa9d5fde08bfc0fb18ffb1b5307c1ed49c24930b4147e5f48571a7251/pywavelets-1.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:810a23a631da596fef7196ddec49b345b1aab13525bb58547eeebe1769edbbc1", size = 4210786, upload-time = "2024-12-04T19:53:51.546Z" }, - { url = "https://files.pythonhosted.org/packages/94/73/7ff347d77c6bda11330565050c3346c54bc210086380abeb84e402c1c9cd/pywavelets-1.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:441ba45c8dff8c6916dbe706958d0d7f91da675695ca0c0d75e483f6f52d0a12", size = 4321474, upload-time = "2024-12-04T19:53:53.369Z" }, - { url = "https://files.pythonhosted.org/packages/b0/70/c58937ebbca1aba3475ca5ee63c7bcebf09f3c93891ae5942eaec7e95707/pywavelets-1.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:24bb282bab09349d9d128ed0536fa50fff5c2147891971a69c2c36155dfeeeac", size = 4291502, upload-time = "2024-12-04T19:53:55.396Z" }, - { url = "https://files.pythonhosted.org/packages/da/55/87b4ad6128b2e85985908e958e856e0b680cdcc03cc490e2cc995164b13a/pywavelets-1.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:426ff3799446cb4da1db04c2084e6e58edfe24225596805665fd39c14f53dece", size = 4412669, upload-time = "2024-12-04T19:53:57.393Z" }, - { url = "https://files.pythonhosted.org/packages/bf/1a/bfca9eab23bd7b27843b0ce95c47796033a7b2c93048315f5fc5d6ac6428/pywavelets-1.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa0607a9c085b8285bc0d04e33d461a6c80f8c325389221ffb1a45141861138e", size = 4454604, upload-time = "2024-12-04T19:53:59.105Z" }, - { url = "https://files.pythonhosted.org/packages/c3/23/9ce38829f57159e812c469c4f9d7b5a16c1ba922c1802985e8c504468206/pywavelets-1.8.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:d31c36a39110e8fcc7b1a4a11cfed7d22b610c285d3e7f4fe73ec777aa49fa39", size = 4445507, upload-time = "2024-12-04T19:54:00.78Z" }, - { url = "https://files.pythonhosted.org/packages/e5/d2/e78a976b0600a6ef7a70f4430122d6ad11b3e1cbda3c8b3565661d094678/pywavelets-1.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa7c68ed1e5bab23b1bafe60ccbcf709b878652d03de59e961baefa5210fcd0a", size = 4479078, upload-time = "2024-12-04T19:54:02.46Z" }, - { url = "https://files.pythonhosted.org/packages/85/4d/1c4f870010368f3aeb0bdd72929376a1988e4a122e76545bd8c56e549c96/pywavelets-1.8.0-cp313-cp313-win32.whl", hash = "sha256:2c6b359b55d713ef683e9da1529181b865a80d759881ceb9adc1c5742e4da4d8", size = 4133763, upload-time = "2024-12-04T19:54:04.016Z" }, - { url = "https://files.pythonhosted.org/packages/c9/4f/0a709a5732e6cf9297fc87bf545cb879997cde204115f8c0cbc296c5bdd3/pywavelets-1.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:4dbebcfd55ea8a85b7fc8802d411e75337170422abf6e96019d7e46c394e80e5", size = 4209548, upload-time = "2024-12-04T19:54:06.61Z" }, - { url = "https://files.pythonhosted.org/packages/de/2a/4cac0bba67d3bc0ad697d0680539864db0a6964c7ad953d8d9d887f360b3/pywavelets-1.8.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:2e1c79784bebeafd3715c1bea6621daa2e2e6ed37b687719322e2078fb35bb70", size = 4335183, upload-time = "2024-12-04T19:54:08.349Z" }, - { url = "https://files.pythonhosted.org/packages/58/d1/3abe4cf34a35b09ad847f0e9a85f340c1988611222926d295fa8710659e7/pywavelets-1.8.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f489380c95013cc8fb3ef338f6d8c1a907125db453cc4dc739e2cca06fcd8b6", size = 4454723, upload-time = "2024-12-04T19:54:11.007Z" }, - { url = "https://files.pythonhosted.org/packages/d5/62/f05dd191232ae94e0b48509bb0ee65c9d45abf5e8f3612b09fd309b41384/pywavelets-1.8.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:06786201a91b5e74540f4f3c115c49a29190de2eb424823abbd3a1fd75ea3e28", size = 4472192, upload-time = "2024-12-04T19:54:12.754Z" }, - { url = "https://files.pythonhosted.org/packages/20/6a/257c95ad1e0fd395cbccd4ffec0d01cc9b51a3bb91e67d8fa10ffebc9c72/pywavelets-1.8.0-cp313-cp313t-win32.whl", hash = "sha256:f2877fb7b58c94211257dcf364b204d6ed259146fc87d5a90bf9d93c97af6226", size = 4183968, upload-time = "2024-12-04T19:54:15.099Z" }, - { url = "https://files.pythonhosted.org/packages/6c/58/7179fd6f87153f2e339171e8cfe9bf901398a89045eefd7a3911bb9b47ad/pywavelets-1.8.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ec5d723c3335ff8aa630fd4b14097077f12cc02893c91cafd60dd7b1730e780f", size = 4265431, upload-time = "2024-12-04T19:54:16.928Z" }, -] - [[package]] name = "pywavelets" version = "1.9.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/5a/75/50581633d199812205ea8cdd0f6d52f12a624886b74bf1486335b67f01ff/pywavelets-1.9.0.tar.gz", hash = "sha256:148d12203377772bea452a59211d98649c8ee4a05eff019a9021853a36babdc8", size = 3938340, upload-time = "2025-08-04T16:20:04.978Z" } wheels = [ @@ -3850,8 +3232,6 @@ version = "3.0.3" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/f7/54/37c7370ba91f579235049dc26cd2c5e657d2a943e01820844ffc81f32176/pywinpty-3.0.3.tar.gz", hash = "sha256:523441dc34d231fb361b4b00f8c99d3f16de02f5005fd544a0183112bcc22412", size = 31309, upload-time = "2026-02-04T21:51:09.524Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/62/28/a652709bd76ca7533cd1c443b03add9f5051fdf71bc6bdb8801dddd4e7a3/pywinpty-3.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:ff05f12d775b142b11c6fe085129bdd759b61cf7d41da6c745e78e3a1ef5bf40", size = 2114320, upload-time = "2026-02-04T21:53:50.972Z" }, - { url = "https://files.pythonhosted.org/packages/b2/13/a0181cc5c2d5635d3dbc3802b97bc8e3ad4fa7502ccef576651a5e08e54c/pywinpty-3.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:340ccacb4d74278a631923794ccd758471cfc8eeeeee4610b280420a17ad1e82", size = 235670, upload-time = "2026-02-04T21:50:20.324Z" }, { url = "https://files.pythonhosted.org/packages/79/c3/3e75075c7f71735f22b66fab0481f2c98e3a4d58cba55cb50ba29114bcf6/pywinpty-3.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:dff25a9a6435f527d7c65608a7e62783fc12076e7d44487a4911ee91be5a8ac8", size = 2114430, upload-time = "2026-02-04T21:54:19.485Z" }, { url = "https://files.pythonhosted.org/packages/8d/1e/8a54166a8c5e4f5cb516514bdf4090be4d51a71e8d9f6d98c0aa00fe45d4/pywinpty-3.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:fbc1e230e5b193eef4431cba3f39996a288f9958f9c9f092c8a961d930ee8f68", size = 236191, upload-time = "2026-02-04T21:50:36.239Z" }, { url = "https://files.pythonhosted.org/packages/7c/d4/aeb5e1784d2c5bff6e189138a9ca91a090117459cea0c30378e1f2db3d54/pywinpty-3.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:c9081df0e49ffa86d15db4a6ba61530630e48707f987df42c9d3313537e81fc0", size = 2113098, upload-time = "2026-02-04T21:54:37.711Z" }, @@ -3871,8 +3251,7 @@ name = "pyxdf" version = "1.17.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f3/1e/60ad39e13262040b693475619c55efcb8d5e52129f2bb52c911e434da829/pyxdf-1.17.3.tar.gz", hash = "sha256:8294353f2989885177277e4a02e260dc9430a60b53b463bad8cdc179fb2c47ce", size = 34372, upload-time = "2026-01-20T14:34:45.21Z" } wheels = [ @@ -3885,15 +3264,6 @@ version = "6.0.3" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/05/8e/961c0007c59b8dd7729d542c61a4d537767a59645b82a0b521206e1e25c2/pyyaml-6.0.3.tar.gz", hash = "sha256:d76623373421df22fb4cf8817020cbb7ef15c725b9d5e45f17e189bfc384190f", size = 130960, upload-time = "2025-09-25T21:33:16.546Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/f4/a0/39350dd17dd6d6c6507025c0e53aef67a9293a6d37d3511f23ea510d5800/pyyaml-6.0.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:214ed4befebe12df36bcc8bc2b64b396ca31be9304b8f59e25c11cf94a4c033b", size = 184227, upload-time = "2025-09-25T21:31:46.04Z" }, - { url = "https://files.pythonhosted.org/packages/05/14/52d505b5c59ce73244f59c7a50ecf47093ce4765f116cdb98286a71eeca2/pyyaml-6.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02ea2dfa234451bbb8772601d7b8e426c2bfa197136796224e50e35a78777956", size = 174019, upload-time = "2025-09-25T21:31:47.706Z" }, - { url = "https://files.pythonhosted.org/packages/43/f7/0e6a5ae5599c838c696adb4e6330a59f463265bfa1e116cfd1fbb0abaaae/pyyaml-6.0.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b30236e45cf30d2b8e7b3e85881719e98507abed1011bf463a8fa23e9c3e98a8", size = 740646, upload-time = "2025-09-25T21:31:49.21Z" }, - { url = "https://files.pythonhosted.org/packages/2f/3a/61b9db1d28f00f8fd0ae760459a5c4bf1b941baf714e207b6eb0657d2578/pyyaml-6.0.3-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:66291b10affd76d76f54fad28e22e51719ef9ba22b29e1d7d03d6777a9174198", size = 840793, upload-time = "2025-09-25T21:31:50.735Z" }, - { url = "https://files.pythonhosted.org/packages/7a/1e/7acc4f0e74c4b3d9531e24739e0ab832a5edf40e64fbae1a9c01941cabd7/pyyaml-6.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9c7708761fccb9397fe64bbc0395abcae8c4bf7b0eac081e12b809bf47700d0b", size = 770293, upload-time = "2025-09-25T21:31:51.828Z" }, - { url = "https://files.pythonhosted.org/packages/8b/ef/abd085f06853af0cd59fa5f913d61a8eab65d7639ff2a658d18a25d6a89d/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:418cf3f2111bc80e0933b2cd8cd04f286338bb88bdc7bc8e6dd775ebde60b5e0", size = 732872, upload-time = "2025-09-25T21:31:53.282Z" }, - { url = "https://files.pythonhosted.org/packages/1f/15/2bc9c8faf6450a8b3c9fc5448ed869c599c0a74ba2669772b1f3a0040180/pyyaml-6.0.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5e0b74767e5f8c593e8c9b5912019159ed0533c70051e9cce3e8b6aa699fcd69", size = 758828, upload-time = "2025-09-25T21:31:54.807Z" }, - { url = "https://files.pythonhosted.org/packages/a3/00/531e92e88c00f4333ce359e50c19b8d1de9fe8d581b1534e35ccfbc5f393/pyyaml-6.0.3-cp310-cp310-win32.whl", hash = "sha256:28c8d926f98f432f88adc23edf2e6d4921ac26fb084b028c733d01868d19007e", size = 142415, upload-time = "2025-09-25T21:31:55.885Z" }, - { url = "https://files.pythonhosted.org/packages/2a/fa/926c003379b19fca39dd4634818b00dec6c62d87faf628d1394e137354d4/pyyaml-6.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:bdb2c67c6c1390b63c6ff89f210c8fd09d9a1217a465701eac7316313c915e4c", size = 158561, upload-time = "2025-09-25T21:31:57.406Z" }, { url = "https://files.pythonhosted.org/packages/6d/16/a95b6757765b7b031c9374925bb718d55e0a9ba8a1b6a12d25962ea44347/pyyaml-6.0.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:44edc647873928551a01e7a563d7452ccdebee747728c1080d881d68af7b997e", size = 185826, upload-time = "2025-09-25T21:31:58.655Z" }, { url = "https://files.pythonhosted.org/packages/16/19/13de8e4377ed53079ee996e1ab0a9c33ec2faf808a4647b7b4c0d46dd239/pyyaml-6.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:652cb6edd41e718550aad172851962662ff2681490a8a711af6a4d288dd96824", size = 175577, upload-time = "2025-09-25T21:32:00.088Z" }, { url = "https://files.pythonhosted.org/packages/0c/62/d2eb46264d4b157dae1275b573017abec435397aa59cbcdab6fc978a8af4/pyyaml-6.0.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:10892704fc220243f5305762e276552a0395f7beb4dbf9b14ec8fd43b57f126c", size = 775556, upload-time = "2025-09-25T21:32:01.31Z" }, @@ -3964,16 +3334,6 @@ dependencies = [ ] sdist = { url = "https://files.pythonhosted.org/packages/04/0b/3c9baedbdf613ecaa7aa07027780b8867f57b6293b6ee50de316c9f3222b/pyzmq-27.1.0.tar.gz", hash = "sha256:ac0765e3d44455adb6ddbf4417dcce460fc40a05978c08efdf2948072f6db540", size = 281750, upload-time = "2025-09-08T23:10:18.157Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/67/b9/52aa9ec2867528b54f1e60846728d8b4d84726630874fee3a91e66c7df81/pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4", size = 1329850, upload-time = "2025-09-08T23:07:26.274Z" }, - { url = "https://files.pythonhosted.org/packages/99/64/5653e7b7425b169f994835a2b2abf9486264401fdef18df91ddae47ce2cc/pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556", size = 906380, upload-time = "2025-09-08T23:07:29.78Z" }, - { url = "https://files.pythonhosted.org/packages/73/78/7d713284dbe022f6440e391bd1f3c48d9185673878034cfb3939cdf333b2/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bf7b38f9fd7b81cb6d9391b2946382c8237fd814075c6aa9c3b746d53076023b", size = 666421, upload-time = "2025-09-08T23:07:31.263Z" }, - { url = "https://files.pythonhosted.org/packages/30/76/8f099f9d6482450428b17c4d6b241281af7ce6a9de8149ca8c1c649f6792/pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:03ff0b279b40d687691a6217c12242ee71f0fba28bf8626ff50e3ef0f4410e1e", size = 854149, upload-time = "2025-09-08T23:07:33.17Z" }, - { url = "https://files.pythonhosted.org/packages/59/f0/37fbfff06c68016019043897e4c969ceab18bde46cd2aca89821fcf4fb2e/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:677e744fee605753eac48198b15a2124016c009a11056f93807000ab11ce6526", size = 1655070, upload-time = "2025-09-08T23:07:35.205Z" }, - { url = "https://files.pythonhosted.org/packages/47/14/7254be73f7a8edc3587609554fcaa7bfd30649bf89cd260e4487ca70fdaa/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:dd2fec2b13137416a1c5648b7009499bcc8fea78154cd888855fa32514f3dad1", size = 2033441, upload-time = "2025-09-08T23:07:37.432Z" }, - { url = "https://files.pythonhosted.org/packages/22/dc/49f2be26c6f86f347e796a4d99b19167fc94503f0af3fd010ad262158822/pyzmq-27.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:08e90bb4b57603b84eab1d0ca05b3bbb10f60c1839dc471fc1c9e1507bef3386", size = 1891529, upload-time = "2025-09-08T23:07:39.047Z" }, - { url = "https://files.pythonhosted.org/packages/a3/3e/154fb963ae25be70c0064ce97776c937ecc7d8b0259f22858154a9999769/pyzmq-27.1.0-cp310-cp310-win32.whl", hash = "sha256:a5b42d7a0658b515319148875fcb782bbf118dd41c671b62dae33666c2213bda", size = 567276, upload-time = "2025-09-08T23:07:40.695Z" }, - { url = "https://files.pythonhosted.org/packages/62/b2/f4ab56c8c595abcb26b2be5fd9fa9e6899c1e5ad54964e93ae8bb35482be/pyzmq-27.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0bb87227430ee3aefcc0ade2088100e528d5d3298a0a715a64f3d04c60ba02f", size = 632208, upload-time = "2025-09-08T23:07:42.298Z" }, - { url = "https://files.pythonhosted.org/packages/3b/e3/be2cc7ab8332bdac0522fdb64c17b1b6241a795bee02e0196636ec5beb79/pyzmq-27.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:9a916f76c2ab8d045b19f2286851a38e9ac94ea91faf65bd64735924522a8b32", size = 559766, upload-time = "2025-09-08T23:07:43.869Z" }, { url = "https://files.pythonhosted.org/packages/06/5d/305323ba86b284e6fcb0d842d6adaa2999035f70f8c38a9b6d21ad28c3d4/pyzmq-27.1.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:226b091818d461a3bef763805e75685e478ac17e9008f49fce2d3e52b3d58b86", size = 1333328, upload-time = "2025-09-08T23:07:45.946Z" }, { url = "https://files.pythonhosted.org/packages/bd/a0/fc7e78a23748ad5443ac3275943457e8452da67fda347e05260261108cbc/pyzmq-27.1.0-cp311-cp311-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:0790a0161c281ca9723f804871b4027f2e8b5a528d357c8952d08cd1a9c15581", size = 908803, upload-time = "2025-09-08T23:07:47.551Z" }, { url = "https://files.pythonhosted.org/packages/7e/22/37d15eb05f3bdfa4abea6f6d96eb3bb58585fbd3e4e0ded4e743bc650c97/pyzmq-27.1.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c895a6f35476b0c3a54e3eb6ccf41bf3018de937016e6e18748317f25d4e925f", size = 668836, upload-time = "2025-09-08T23:07:49.436Z" }, @@ -4016,11 +3376,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c4/59/a5f38970f9bf07cee96128de79590bb354917914a9be11272cfc7ff26af0/pyzmq-27.1.0-cp314-cp314t-win32.whl", hash = "sha256:1f0b2a577fd770aa6f053211a55d1c47901f4d537389a034c690291485e5fe92", size = 587472, upload-time = "2025-09-08T23:08:58.18Z" }, { url = "https://files.pythonhosted.org/packages/70/d8/78b1bad170f93fcf5e3536e70e8fadac55030002275c9a29e8f5719185de/pyzmq-27.1.0-cp314-cp314t-win_amd64.whl", hash = "sha256:19c9468ae0437f8074af379e986c5d3d7d7bfe033506af442e8c879732bedbe0", size = 661401, upload-time = "2025-09-08T23:08:59.802Z" }, { url = "https://files.pythonhosted.org/packages/81/d6/4bfbb40c9a0b42fc53c7cf442f6385db70b40f74a783130c5d0a5aa62228/pyzmq-27.1.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dc5dbf68a7857b59473f7df42650c621d7e8923fb03fa74a526890f4d33cc4d7", size = 575170, upload-time = "2025-09-08T23:09:01.418Z" }, - { url = "https://files.pythonhosted.org/packages/f3/81/a65e71c1552f74dec9dff91d95bafb6e0d33338a8dfefbc88aa562a20c92/pyzmq-27.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c17e03cbc9312bee223864f1a2b13a99522e0dc9f7c5df0177cd45210ac286e6", size = 836266, upload-time = "2025-09-08T23:09:40.048Z" }, - { url = "https://files.pythonhosted.org/packages/58/ed/0202ca350f4f2b69faa95c6d931e3c05c3a397c184cacb84cb4f8f42f287/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:f328d01128373cb6763823b2b4e7f73bdf767834268c565151eacb3b7a392f90", size = 800206, upload-time = "2025-09-08T23:09:41.902Z" }, - { url = "https://files.pythonhosted.org/packages/47/42/1ff831fa87fe8f0a840ddb399054ca0009605d820e2b44ea43114f5459f4/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c1790386614232e1b3a40a958454bdd42c6d1811837b15ddbb052a032a43f62", size = 567747, upload-time = "2025-09-08T23:09:43.741Z" }, - { url = "https://files.pythonhosted.org/packages/d1/db/5c4d6807434751e3f21231bee98109aa57b9b9b55e058e450d0aef59b70f/pyzmq-27.1.0-pp310-pypy310_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:448f9cb54eb0cee4732b46584f2710c8bc178b0e5371d9e4fc8125201e413a74", size = 747371, upload-time = "2025-09-08T23:09:45.575Z" }, - { url = "https://files.pythonhosted.org/packages/26/af/78ce193dbf03567eb8c0dc30e3df2b9e56f12a670bf7eb20f9fb532c7e8a/pyzmq-27.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:05b12f2d32112bf8c95ef2e74ec4f1d4beb01f8b5e703b38537f8849f92cb9ba", size = 544862, upload-time = "2025-09-08T23:09:47.448Z" }, { url = "https://files.pythonhosted.org/packages/4c/c6/c4dcdecdbaa70969ee1fdced6d7b8f60cfabe64d25361f27ac4665a70620/pyzmq-27.1.0-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:18770c8d3563715387139060d37859c02ce40718d1faf299abddcdcc6a649066", size = 836265, upload-time = "2025-09-08T23:09:49.376Z" }, { url = "https://files.pythonhosted.org/packages/3e/79/f38c92eeaeb03a2ccc2ba9866f0439593bb08c5e3b714ac1d553e5c96e25/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:ac25465d42f92e990f8d8b0546b01c391ad431c3bf447683fdc40565941d0604", size = 800208, upload-time = "2025-09-08T23:09:51.073Z" }, { url = "https://files.pythonhosted.org/packages/49/0e/3f0d0d335c6b3abb9b7b723776d0b21fa7f3a6c819a0db6097059aada160/pyzmq-27.1.0-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53b40f8ae006f2734ee7608d59ed661419f087521edbfc2149c3932e9c14808c", size = 567747, upload-time = "2025-09-08T23:09:52.698Z" }, @@ -4033,7 +3388,7 @@ name = "questionary" version = "2.1.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "prompt-toolkit", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, + { name = "prompt-toolkit", marker = "sys_platform != 'emscripten'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f6/45/eafb0bba0f9988f6a2520f9ca2df2c82ddfa8d67c95d6625452e97b204a5/questionary-2.1.1.tar.gz", hash = "sha256:3d7e980292bb0107abaa79c68dd3eee3c561b83a0f89ae482860b181c8bd412d", size = 25845, upload-time = "2025-08-28T19:00:20.851Z" } wheels = [ @@ -4121,20 +3476,6 @@ version = "0.30.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/06/0c/0c411a0ec64ccb6d104dcabe0e713e05e153a9a2c3c2bd2b32ce412166fe/rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288", size = 370490, upload-time = "2025-11-30T20:21:33.256Z" }, - { url = "https://files.pythonhosted.org/packages/19/6a/4ba3d0fb7297ebae71171822554abe48d7cab29c28b8f9f2c04b79988c05/rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00", size = 359751, upload-time = "2025-11-30T20:21:34.591Z" }, - { url = "https://files.pythonhosted.org/packages/cd/7c/e4933565ef7f7a0818985d87c15d9d273f1a649afa6a52ea35ad011195ea/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389a2d49eded1896c3d48b0136ead37c48e221b391c052fba3f4055c367f60a6", size = 389696, upload-time = "2025-11-30T20:21:36.122Z" }, - { url = "https://files.pythonhosted.org/packages/5e/01/6271a2511ad0815f00f7ed4390cf2567bec1d4b1da39e2c27a41e6e3b4de/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:32c8528634e1bf7121f3de08fa85b138f4e0dc47657866630611b03967f041d7", size = 403136, upload-time = "2025-11-30T20:21:37.728Z" }, - { url = "https://files.pythonhosted.org/packages/55/64/c857eb7cd7541e9b4eee9d49c196e833128a55b89a9850a9c9ac33ccf897/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f207f69853edd6f6700b86efb84999651baf3789e78a466431df1331608e5324", size = 524699, upload-time = "2025-11-30T20:21:38.92Z" }, - { url = "https://files.pythonhosted.org/packages/9c/ed/94816543404078af9ab26159c44f9e98e20fe47e2126d5d32c9d9948d10a/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67b02ec25ba7a9e8fa74c63b6ca44cf5707f2fbfadae3ee8e7494297d56aa9df", size = 412022, upload-time = "2025-11-30T20:21:40.407Z" }, - { url = "https://files.pythonhosted.org/packages/61/b5/707f6cf0066a6412aacc11d17920ea2e19e5b2f04081c64526eb35b5c6e7/rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c0e95f6819a19965ff420f65578bacb0b00f251fefe2c8b23347c37174271f3", size = 390522, upload-time = "2025-11-30T20:21:42.17Z" }, - { url = "https://files.pythonhosted.org/packages/13/4e/57a85fda37a229ff4226f8cbcf09f2a455d1ed20e802ce5b2b4a7f5ed053/rpds_py-0.30.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:a452763cc5198f2f98898eb98f7569649fe5da666c2dc6b5ddb10fde5a574221", size = 404579, upload-time = "2025-11-30T20:21:43.769Z" }, - { url = "https://files.pythonhosted.org/packages/f9/da/c9339293513ec680a721e0e16bf2bac3db6e5d7e922488de471308349bba/rpds_py-0.30.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0b65193a413ccc930671c55153a03ee57cecb49e6227204b04fae512eb657a7", size = 421305, upload-time = "2025-11-30T20:21:44.994Z" }, - { url = "https://files.pythonhosted.org/packages/f9/be/522cb84751114f4ad9d822ff5a1aa3c98006341895d5f084779b99596e5c/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:858738e9c32147f78b3ac24dc0edb6610000e56dc0f700fd5f651d0a0f0eb9ff", size = 572503, upload-time = "2025-11-30T20:21:46.91Z" }, - { url = "https://files.pythonhosted.org/packages/a2/9b/de879f7e7ceddc973ea6e4629e9b380213a6938a249e94b0cdbcc325bb66/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:da279aa314f00acbb803da1e76fa18666778e8a8f83484fba94526da5de2cba7", size = 598322, upload-time = "2025-11-30T20:21:48.709Z" }, - { url = "https://files.pythonhosted.org/packages/48/ac/f01fc22efec3f37d8a914fc1b2fb9bcafd56a299edbe96406f3053edea5a/rpds_py-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7c64d38fb49b6cdeda16ab49e35fe0da2e1e9b34bc38bd78386530f218b37139", size = 560792, upload-time = "2025-11-30T20:21:50.024Z" }, - { url = "https://files.pythonhosted.org/packages/e2/da/4e2b19d0f131f35b6146425f846563d0ce036763e38913d917187307a671/rpds_py-0.30.0-cp310-cp310-win32.whl", hash = "sha256:6de2a32a1665b93233cde140ff8b3467bdb9e2af2b91079f0333a0974d12d464", size = 221901, upload-time = "2025-11-30T20:21:51.32Z" }, - { url = "https://files.pythonhosted.org/packages/96/cb/156d7a5cf4f78a7cc571465d8aec7a3c447c94f6749c5123f08438bcf7bc/rpds_py-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:1726859cd0de969f88dc8673bdd954185b9104e05806be64bcd87badbe313169", size = 235823, upload-time = "2025-11-30T20:21:52.505Z" }, { url = "https://files.pythonhosted.org/packages/4d/6e/f964e88b3d2abee2a82c1ac8366da848fce1c6d834dc2132c3fda3970290/rpds_py-0.30.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a2bffea6a4ca9f01b3f8e548302470306689684e61602aa3d141e34da06cf425", size = 370157, upload-time = "2025-11-30T20:21:53.789Z" }, { url = "https://files.pythonhosted.org/packages/94/ba/24e5ebb7c1c82e74c4e4f33b2112a5573ddc703915b13a073737b59b86e0/rpds_py-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc4f992dfe1e2bc3ebc7444f6c7051b4bc13cd8e33e43511e8ffd13bf407010d", size = 359676, upload-time = "2025-11-30T20:21:55.475Z" }, { url = "https://files.pythonhosted.org/packages/84/86/04dbba1b087227747d64d80c3b74df946b986c57af0a9f0c98726d4d7a3b/rpds_py-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:422c3cb9856d80b09d30d2eb255d0754b23e090034e1deb4083f8004bd0761e4", size = 389938, upload-time = "2025-11-30T20:21:57.079Z" }, @@ -4237,76 +3578,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d1/b7/b95708304cd49b7b6f82fdd039f1748b66ec2b21d6a45180910802f1abf1/rpds_py-0.30.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac37f9f516c51e5753f27dfdef11a88330f04de2d564be3991384b2f3535d02e", size = 562191, upload-time = "2025-11-30T20:24:36.853Z" }, ] -[[package]] -name = "scikit-image" -version = "0.25.2" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "imageio", marker = "python_full_version < '3.11'" }, - { name = "lazy-loader", marker = "python_full_version < '3.11'" }, - { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "packaging", marker = "python_full_version < '3.11'" }, - { name = "pillow", marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "tifffile", version = "2025.5.10", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/c7/a8/3c0f256012b93dd2cb6fda9245e9f4bff7dc0486880b248005f15ea2255e/scikit_image-0.25.2.tar.gz", hash = "sha256:e5a37e6cd4d0c018a7a55b9d601357e3382826d3888c10d0213fc63bff977dde", size = 22693594, upload-time = "2025-02-18T18:05:24.538Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/11/cb/016c63f16065c2d333c8ed0337e18a5cdf9bc32d402e4f26b0db362eb0e2/scikit_image-0.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d3278f586793176599df6a4cf48cb6beadae35c31e58dc01a98023af3dc31c78", size = 13988922, upload-time = "2025-02-18T18:04:11.069Z" }, - { url = "https://files.pythonhosted.org/packages/30/ca/ff4731289cbed63c94a0c9a5b672976603118de78ed21910d9060c82e859/scikit_image-0.25.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5c311069899ce757d7dbf1d03e32acb38bb06153236ae77fcd820fd62044c063", size = 13192698, upload-time = "2025-02-18T18:04:15.362Z" }, - { url = "https://files.pythonhosted.org/packages/39/6d/a2aadb1be6d8e149199bb9b540ccde9e9622826e1ab42fe01de4c35ab918/scikit_image-0.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be455aa7039a6afa54e84f9e38293733a2622b8c2fb3362b822d459cc5605e99", size = 14153634, upload-time = "2025-02-18T18:04:18.496Z" }, - { url = "https://files.pythonhosted.org/packages/96/08/916e7d9ee4721031b2f625db54b11d8379bd51707afaa3e5a29aecf10bc4/scikit_image-0.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4c464b90e978d137330be433df4e76d92ad3c5f46a22f159520ce0fdbea8a09", size = 14767545, upload-time = "2025-02-18T18:04:22.556Z" }, - { url = "https://files.pythonhosted.org/packages/5f/ee/c53a009e3997dda9d285402f19226fbd17b5b3cb215da391c4ed084a1424/scikit_image-0.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:60516257c5a2d2f74387c502aa2f15a0ef3498fbeaa749f730ab18f0a40fd054", size = 12812908, upload-time = "2025-02-18T18:04:26.364Z" }, - { url = "https://files.pythonhosted.org/packages/c4/97/3051c68b782ee3f1fb7f8f5bb7d535cf8cb92e8aae18fa9c1cdf7e15150d/scikit_image-0.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f4bac9196fb80d37567316581c6060763b0f4893d3aca34a9ede3825bc035b17", size = 14003057, upload-time = "2025-02-18T18:04:30.395Z" }, - { url = "https://files.pythonhosted.org/packages/19/23/257fc696c562639826065514d551b7b9b969520bd902c3a8e2fcff5b9e17/scikit_image-0.25.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d989d64ff92e0c6c0f2018c7495a5b20e2451839299a018e0e5108b2680f71e0", size = 13180335, upload-time = "2025-02-18T18:04:33.449Z" }, - { url = "https://files.pythonhosted.org/packages/ef/14/0c4a02cb27ca8b1e836886b9ec7c9149de03053650e9e2ed0625f248dd92/scikit_image-0.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2cfc96b27afe9a05bc92f8c6235321d3a66499995675b27415e0d0c76625173", size = 14144783, upload-time = "2025-02-18T18:04:36.594Z" }, - { url = "https://files.pythonhosted.org/packages/dd/9b/9fb556463a34d9842491d72a421942c8baff4281025859c84fcdb5e7e602/scikit_image-0.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24cc986e1f4187a12aa319f777b36008764e856e5013666a4a83f8df083c2641", size = 14785376, upload-time = "2025-02-18T18:04:39.856Z" }, - { url = "https://files.pythonhosted.org/packages/de/ec/b57c500ee85885df5f2188f8bb70398481393a69de44a00d6f1d055f103c/scikit_image-0.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:b4f6b61fc2db6340696afe3db6b26e0356911529f5f6aee8c322aa5157490c9b", size = 12791698, upload-time = "2025-02-18T18:04:42.868Z" }, - { url = "https://files.pythonhosted.org/packages/35/8c/5df82881284459f6eec796a5ac2a0a304bb3384eec2e73f35cfdfcfbf20c/scikit_image-0.25.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8db8dd03663112783221bf01ccfc9512d1cc50ac9b5b0fe8f4023967564719fb", size = 13986000, upload-time = "2025-02-18T18:04:47.156Z" }, - { url = "https://files.pythonhosted.org/packages/ce/e6/93bebe1abcdce9513ffec01d8af02528b4c41fb3c1e46336d70b9ed4ef0d/scikit_image-0.25.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:483bd8cc10c3d8a7a37fae36dfa5b21e239bd4ee121d91cad1f81bba10cfb0ed", size = 13235893, upload-time = "2025-02-18T18:04:51.049Z" }, - { url = "https://files.pythonhosted.org/packages/53/4b/eda616e33f67129e5979a9eb33c710013caa3aa8a921991e6cc0b22cea33/scikit_image-0.25.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d1e80107bcf2bf1291acfc0bf0425dceb8890abe9f38d8e94e23497cbf7ee0d", size = 14178389, upload-time = "2025-02-18T18:04:54.245Z" }, - { url = "https://files.pythonhosted.org/packages/6b/b5/b75527c0f9532dd8a93e8e7cd8e62e547b9f207d4c11e24f0006e8646b36/scikit_image-0.25.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a17e17eb8562660cc0d31bb55643a4da996a81944b82c54805c91b3fe66f4824", size = 15003435, upload-time = "2025-02-18T18:04:57.586Z" }, - { url = "https://files.pythonhosted.org/packages/34/e3/49beb08ebccda3c21e871b607c1cb2f258c3fa0d2f609fed0a5ba741b92d/scikit_image-0.25.2-cp312-cp312-win_amd64.whl", hash = "sha256:bdd2b8c1de0849964dbc54037f36b4e9420157e67e45a8709a80d727f52c7da2", size = 12899474, upload-time = "2025-02-18T18:05:01.166Z" }, - { url = "https://files.pythonhosted.org/packages/e6/7c/9814dd1c637f7a0e44342985a76f95a55dd04be60154247679fd96c7169f/scikit_image-0.25.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7efa888130f6c548ec0439b1a7ed7295bc10105458a421e9bf739b457730b6da", size = 13921841, upload-time = "2025-02-18T18:05:03.963Z" }, - { url = "https://files.pythonhosted.org/packages/84/06/66a2e7661d6f526740c309e9717d3bd07b473661d5cdddef4dd978edab25/scikit_image-0.25.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dd8011efe69c3641920614d550f5505f83658fe33581e49bed86feab43a180fc", size = 13196862, upload-time = "2025-02-18T18:05:06.986Z" }, - { url = "https://files.pythonhosted.org/packages/4e/63/3368902ed79305f74c2ca8c297dfeb4307269cbe6402412668e322837143/scikit_image-0.25.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28182a9d3e2ce3c2e251383bdda68f8d88d9fff1a3ebe1eb61206595c9773341", size = 14117785, upload-time = "2025-02-18T18:05:10.69Z" }, - { url = "https://files.pythonhosted.org/packages/cd/9b/c3da56a145f52cd61a68b8465d6a29d9503bc45bc993bb45e84371c97d94/scikit_image-0.25.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8abd3c805ce6944b941cfed0406d88faeb19bab3ed3d4b50187af55cf24d147", size = 14977119, upload-time = "2025-02-18T18:05:13.871Z" }, - { url = "https://files.pythonhosted.org/packages/8a/97/5fcf332e1753831abb99a2525180d3fb0d70918d461ebda9873f66dcc12f/scikit_image-0.25.2-cp313-cp313-win_amd64.whl", hash = "sha256:64785a8acefee460ec49a354706db0b09d1f325674107d7fa3eadb663fb56d6f", size = 12885116, upload-time = "2025-02-18T18:05:17.844Z" }, - { url = "https://files.pythonhosted.org/packages/10/cc/75e9f17e3670b5ed93c32456fda823333c6279b144cd93e2c03aa06aa472/scikit_image-0.25.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:330d061bd107d12f8d68f1d611ae27b3b813b8cdb0300a71d07b1379178dd4cd", size = 13862801, upload-time = "2025-02-18T18:05:20.783Z" }, -] - [[package]] name = "scikit-image" version = "0.26.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "imageio", marker = "python_full_version >= '3.11'" }, - { name = "lazy-loader", marker = "python_full_version >= '3.11'" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging", marker = "python_full_version >= '3.11'" }, - { name = "pillow", marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "tifffile", version = "2026.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "imageio" }, + { name = "lazy-loader" }, + { name = "networkx" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pillow" }, + { name = "scipy" }, + { name = "tifffile" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a1/b4/2528bb43c67d48053a7a649a9666432dc307d66ba02e3a6d5c40f46655df/scikit_image-0.26.0.tar.gz", hash = "sha256:f5f970ab04efad85c24714321fcc91613fcb64ef2a892a13167df2f3e59199fa", size = 22729739, upload-time = "2025-12-20T17:12:21.824Z" } wheels = [ @@ -4360,77 +3644,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/dc/cd/4da01329b5a8d47ff7ec3c99a2b02465a8017b186027590dc7425cee0b56/scikit_image-0.26.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0608aa4a9ec39e0843de10d60edb2785a30c1c47819b67866dd223ebd149acaf", size = 11769501, upload-time = "2025-12-20T17:12:19.339Z" }, ] -[[package]] -name = "scikit-learn" -version = "1.7.2" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "joblib", marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "threadpoolctl", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/98/c2/a7855e41c9d285dfe86dc50b250978105dce513d6e459ea66a6aeb0e1e0c/scikit_learn-1.7.2.tar.gz", hash = "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda", size = 7193136, upload-time = "2025-09-09T08:21:29.075Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ba/3e/daed796fd69cce768b8788401cc464ea90b306fb196ae1ffed0b98182859/scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f", size = 9336221, upload-time = "2025-09-09T08:20:19.328Z" }, - { url = "https://files.pythonhosted.org/packages/1c/ce/af9d99533b24c55ff4e18d9b7b4d9919bbc6cd8f22fe7a7be01519a347d5/scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c", size = 8653834, upload-time = "2025-09-09T08:20:22.073Z" }, - { url = "https://files.pythonhosted.org/packages/58/0e/8c2a03d518fb6bd0b6b0d4b114c63d5f1db01ff0f9925d8eb10960d01c01/scikit_learn-1.7.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7a58814265dfc52b3295b1900cfb5701589d30a8bb026c7540f1e9d3499d5ec8", size = 9660938, upload-time = "2025-09-09T08:20:24.327Z" }, - { url = "https://files.pythonhosted.org/packages/2b/75/4311605069b5d220e7cf5adabb38535bd96f0079313cdbb04b291479b22a/scikit_learn-1.7.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4a847fea807e278f821a0406ca01e387f97653e284ecbd9750e3ee7c90347f18", size = 9477818, upload-time = "2025-09-09T08:20:26.845Z" }, - { url = "https://files.pythonhosted.org/packages/7f/9b/87961813c34adbca21a6b3f6b2bea344c43b30217a6d24cc437c6147f3e8/scikit_learn-1.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:ca250e6836d10e6f402436d6463d6c0e4d8e0234cfb6a9a47835bd392b852ce5", size = 8886969, upload-time = "2025-09-09T08:20:29.329Z" }, - { url = "https://files.pythonhosted.org/packages/43/83/564e141eef908a5863a54da8ca342a137f45a0bfb71d1d79704c9894c9d1/scikit_learn-1.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7509693451651cd7361d30ce4e86a1347493554f172b1c72a39300fa2aea79e", size = 9331967, upload-time = "2025-09-09T08:20:32.421Z" }, - { url = "https://files.pythonhosted.org/packages/18/d6/ba863a4171ac9d7314c4d3fc251f015704a2caeee41ced89f321c049ed83/scikit_learn-1.7.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1", size = 8648645, upload-time = "2025-09-09T08:20:34.436Z" }, - { url = "https://files.pythonhosted.org/packages/ef/0e/97dbca66347b8cf0ea8b529e6bb9367e337ba2e8be0ef5c1a545232abfde/scikit_learn-1.7.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89877e19a80c7b11a2891a27c21c4894fb18e2c2e077815bcade10d34287b20d", size = 9715424, upload-time = "2025-09-09T08:20:36.776Z" }, - { url = "https://files.pythonhosted.org/packages/f7/32/1f3b22e3207e1d2c883a7e09abb956362e7d1bd2f14458c7de258a26ac15/scikit_learn-1.7.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8da8bf89d4d79aaec192d2bda62f9b56ae4e5b4ef93b6a56b5de4977e375c1f1", size = 9509234, upload-time = "2025-09-09T08:20:38.957Z" }, - { url = "https://files.pythonhosted.org/packages/9f/71/34ddbd21f1da67c7a768146968b4d0220ee6831e4bcbad3e03dd3eae88b6/scikit_learn-1.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:9b7ed8d58725030568523e937c43e56bc01cadb478fc43c042a9aca1dacb3ba1", size = 8894244, upload-time = "2025-09-09T08:20:41.166Z" }, - { url = "https://files.pythonhosted.org/packages/a7/aa/3996e2196075689afb9fce0410ebdb4a09099d7964d061d7213700204409/scikit_learn-1.7.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96", size = 9259818, upload-time = "2025-09-09T08:20:43.19Z" }, - { url = "https://files.pythonhosted.org/packages/43/5d/779320063e88af9c4a7c2cf463ff11c21ac9c8bd730c4a294b0000b666c9/scikit_learn-1.7.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:acbc0f5fd2edd3432a22c69bed78e837c70cf896cd7993d71d51ba6708507476", size = 8636997, upload-time = "2025-09-09T08:20:45.468Z" }, - { url = "https://files.pythonhosted.org/packages/5c/d0/0c577d9325b05594fdd33aa970bf53fb673f051a45496842caee13cfd7fe/scikit_learn-1.7.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e5bf3d930aee75a65478df91ac1225ff89cd28e9ac7bd1196853a9229b6adb0b", size = 9478381, upload-time = "2025-09-09T08:20:47.982Z" }, - { url = "https://files.pythonhosted.org/packages/82/70/8bf44b933837ba8494ca0fc9a9ab60f1c13b062ad0197f60a56e2fc4c43e/scikit_learn-1.7.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4d6e9deed1a47aca9fe2f267ab8e8fe82ee20b4526b2c0cd9e135cea10feb44", size = 9300296, upload-time = "2025-09-09T08:20:50.366Z" }, - { url = "https://files.pythonhosted.org/packages/c6/99/ed35197a158f1fdc2fe7c3680e9c70d0128f662e1fee4ed495f4b5e13db0/scikit_learn-1.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:6088aa475f0785e01bcf8529f55280a3d7d298679f50c0bb70a2364a82d0b290", size = 8731256, upload-time = "2025-09-09T08:20:52.627Z" }, - { url = "https://files.pythonhosted.org/packages/ae/93/a3038cb0293037fd335f77f31fe053b89c72f17b1c8908c576c29d953e84/scikit_learn-1.7.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0b7dacaa05e5d76759fb071558a8b5130f4845166d88654a0f9bdf3eb57851b7", size = 9212382, upload-time = "2025-09-09T08:20:54.731Z" }, - { url = "https://files.pythonhosted.org/packages/40/dd/9a88879b0c1104259136146e4742026b52df8540c39fec21a6383f8292c7/scikit_learn-1.7.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:abebbd61ad9e1deed54cca45caea8ad5f79e1b93173dece40bb8e0c658dbe6fe", size = 8592042, upload-time = "2025-09-09T08:20:57.313Z" }, - { url = "https://files.pythonhosted.org/packages/46/af/c5e286471b7d10871b811b72ae794ac5fe2989c0a2df07f0ec723030f5f5/scikit_learn-1.7.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:502c18e39849c0ea1a5d681af1dbcf15f6cce601aebb657aabbfe84133c1907f", size = 9434180, upload-time = "2025-09-09T08:20:59.671Z" }, - { url = "https://files.pythonhosted.org/packages/f1/fd/df59faa53312d585023b2da27e866524ffb8faf87a68516c23896c718320/scikit_learn-1.7.2-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a4c328a71785382fe3fe676a9ecf2c86189249beff90bf85e22bdb7efaf9ae0", size = 9283660, upload-time = "2025-09-09T08:21:01.71Z" }, - { url = "https://files.pythonhosted.org/packages/a7/c7/03000262759d7b6f38c836ff9d512f438a70d8a8ddae68ee80de72dcfb63/scikit_learn-1.7.2-cp313-cp313-win_amd64.whl", hash = "sha256:63a9afd6f7b229aad94618c01c252ce9e6fa97918c5ca19c9a17a087d819440c", size = 8702057, upload-time = "2025-09-09T08:21:04.234Z" }, - { url = "https://files.pythonhosted.org/packages/55/87/ef5eb1f267084532c8e4aef98a28b6ffe7425acbfd64b5e2f2e066bc29b3/scikit_learn-1.7.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:9acb6c5e867447b4e1390930e3944a005e2cb115922e693c08a323421a6966e8", size = 9558731, upload-time = "2025-09-09T08:21:06.381Z" }, - { url = "https://files.pythonhosted.org/packages/93/f8/6c1e3fc14b10118068d7938878a9f3f4e6d7b74a8ddb1e5bed65159ccda8/scikit_learn-1.7.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:2a41e2a0ef45063e654152ec9d8bcfc39f7afce35b08902bfe290c2498a67a6a", size = 9038852, upload-time = "2025-09-09T08:21:08.628Z" }, - { url = "https://files.pythonhosted.org/packages/83/87/066cafc896ee540c34becf95d30375fe5cbe93c3b75a0ee9aa852cd60021/scikit_learn-1.7.2-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:98335fb98509b73385b3ab2bd0639b1f610541d3988ee675c670371d6a87aa7c", size = 9527094, upload-time = "2025-09-09T08:21:11.486Z" }, - { url = "https://files.pythonhosted.org/packages/9c/2b/4903e1ccafa1f6453b1ab78413938c8800633988c838aa0be386cbb33072/scikit_learn-1.7.2-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191e5550980d45449126e23ed1d5e9e24b2c68329ee1f691a3987476e115e09c", size = 9367436, upload-time = "2025-09-09T08:21:13.602Z" }, - { url = "https://files.pythonhosted.org/packages/b5/aa/8444be3cfb10451617ff9d177b3c190288f4563e6c50ff02728be67ad094/scikit_learn-1.7.2-cp313-cp313t-win_amd64.whl", hash = "sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973", size = 9275749, upload-time = "2025-09-09T08:21:15.96Z" }, - { url = "https://files.pythonhosted.org/packages/d9/82/dee5acf66837852e8e68df6d8d3a6cb22d3df997b733b032f513d95205b7/scikit_learn-1.7.2-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fa8f63940e29c82d1e67a45d5297bdebbcb585f5a5a50c4914cc2e852ab77f33", size = 9208906, upload-time = "2025-09-09T08:21:18.557Z" }, - { url = "https://files.pythonhosted.org/packages/3c/30/9029e54e17b87cb7d50d51a5926429c683d5b4c1732f0507a6c3bed9bf65/scikit_learn-1.7.2-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:f95dc55b7902b91331fa4e5845dd5bde0580c9cd9612b1b2791b7e80c3d32615", size = 8627836, upload-time = "2025-09-09T08:21:20.695Z" }, - { url = "https://files.pythonhosted.org/packages/60/18/4a52c635c71b536879f4b971c2cedf32c35ee78f48367885ed8025d1f7ee/scikit_learn-1.7.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9656e4a53e54578ad10a434dc1f993330568cfee176dff07112b8785fb413106", size = 9426236, upload-time = "2025-09-09T08:21:22.645Z" }, - { url = "https://files.pythonhosted.org/packages/99/7e/290362f6ab582128c53445458a5befd471ed1ea37953d5bcf80604619250/scikit_learn-1.7.2-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96dc05a854add0e50d3f47a1ef21a10a595016da5b007c7d9cd9d0bffd1fcc61", size = 9312593, upload-time = "2025-09-09T08:21:24.65Z" }, - { url = "https://files.pythonhosted.org/packages/8e/87/24f541b6d62b1794939ae6422f8023703bbf6900378b2b34e0b4384dfefd/scikit_learn-1.7.2-cp314-cp314-win_amd64.whl", hash = "sha256:bb24510ed3f9f61476181e4db51ce801e2ba37541def12dc9333b946fc7a9cf8", size = 8820007, upload-time = "2025-09-09T08:21:26.713Z" }, -] - [[package]] name = "scikit-learn" version = "1.8.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "joblib", marker = "python_full_version >= '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "threadpoolctl", marker = "python_full_version >= '3.11'" }, + { name = "joblib" }, + { name = "numpy" }, + { name = "scipy" }, + { name = "threadpoolctl" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0e/d4/40988bf3b8e34feec1d0e6a051446b1f66225f8529b9309becaeef62b6c4/scikit_learn-1.8.0.tar.gz", hash = "sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd", size = 7335585, upload-time = "2025-12-10T07:08:53.618Z" } wheels = [ @@ -4474,147 +3696,73 @@ wheels = [ [[package]] name = "scipy" -version = "1.15.3" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0f/37/6964b830433e654ec7485e45a00fc9a27cf868d622838f6b6d9c5ec0d532/scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf", size = 59419214, upload-time = "2025-05-08T16:13:05.955Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/78/2f/4966032c5f8cc7e6a60f1b2e0ad686293b9474b65246b0c642e3ef3badd0/scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c", size = 38702770, upload-time = "2025-05-08T16:04:20.849Z" }, - { url = "https://files.pythonhosted.org/packages/a0/6e/0c3bf90fae0e910c274db43304ebe25a6b391327f3f10b5dcc638c090795/scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253", size = 30094511, upload-time = "2025-05-08T16:04:27.103Z" }, - { url = "https://files.pythonhosted.org/packages/ea/b1/4deb37252311c1acff7f101f6453f0440794f51b6eacb1aad4459a134081/scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f", size = 22368151, upload-time = "2025-05-08T16:04:31.731Z" }, - { url = "https://files.pythonhosted.org/packages/38/7d/f457626e3cd3c29b3a49ca115a304cebb8cc6f31b04678f03b216899d3c6/scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92", size = 25121732, upload-time = "2025-05-08T16:04:36.596Z" }, - { url = "https://files.pythonhosted.org/packages/db/0a/92b1de4a7adc7a15dcf5bddc6e191f6f29ee663b30511ce20467ef9b82e4/scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82", size = 35547617, upload-time = "2025-05-08T16:04:43.546Z" }, - { url = "https://files.pythonhosted.org/packages/8e/6d/41991e503e51fc1134502694c5fa7a1671501a17ffa12716a4a9151af3df/scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40", size = 37662964, upload-time = "2025-05-08T16:04:49.431Z" }, - { url = "https://files.pythonhosted.org/packages/25/e1/3df8f83cb15f3500478c889be8fb18700813b95e9e087328230b98d547ff/scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e", size = 37238749, upload-time = "2025-05-08T16:04:55.215Z" }, - { url = "https://files.pythonhosted.org/packages/93/3e/b3257cf446f2a3533ed7809757039016b74cd6f38271de91682aa844cfc5/scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c", size = 40022383, upload-time = "2025-05-08T16:05:01.914Z" }, - { url = "https://files.pythonhosted.org/packages/d1/84/55bc4881973d3f79b479a5a2e2df61c8c9a04fcb986a213ac9c02cfb659b/scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13", size = 41259201, upload-time = "2025-05-08T16:05:08.166Z" }, - { url = "https://files.pythonhosted.org/packages/96/ab/5cc9f80f28f6a7dff646c5756e559823614a42b1939d86dd0ed550470210/scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b", size = 38714255, upload-time = "2025-05-08T16:05:14.596Z" }, - { url = "https://files.pythonhosted.org/packages/4a/4a/66ba30abe5ad1a3ad15bfb0b59d22174012e8056ff448cb1644deccbfed2/scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba", size = 30111035, upload-time = "2025-05-08T16:05:20.152Z" }, - { url = "https://files.pythonhosted.org/packages/4b/fa/a7e5b95afd80d24313307f03624acc65801846fa75599034f8ceb9e2cbf6/scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65", size = 22384499, upload-time = "2025-05-08T16:05:24.494Z" }, - { url = "https://files.pythonhosted.org/packages/17/99/f3aaddccf3588bb4aea70ba35328c204cadd89517a1612ecfda5b2dd9d7a/scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1", size = 25152602, upload-time = "2025-05-08T16:05:29.313Z" }, - { url = "https://files.pythonhosted.org/packages/56/c5/1032cdb565f146109212153339f9cb8b993701e9fe56b1c97699eee12586/scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889", size = 35503415, upload-time = "2025-05-08T16:05:34.699Z" }, - { url = "https://files.pythonhosted.org/packages/bd/37/89f19c8c05505d0601ed5650156e50eb881ae3918786c8fd7262b4ee66d3/scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982", size = 37652622, upload-time = "2025-05-08T16:05:40.762Z" }, - { url = "https://files.pythonhosted.org/packages/7e/31/be59513aa9695519b18e1851bb9e487de66f2d31f835201f1b42f5d4d475/scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9", size = 37244796, upload-time = "2025-05-08T16:05:48.119Z" }, - { url = "https://files.pythonhosted.org/packages/10/c0/4f5f3eeccc235632aab79b27a74a9130c6c35df358129f7ac8b29f562ac7/scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594", size = 40047684, upload-time = "2025-05-08T16:05:54.22Z" }, - { url = "https://files.pythonhosted.org/packages/ab/a7/0ddaf514ce8a8714f6ed243a2b391b41dbb65251affe21ee3077ec45ea9a/scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb", size = 41246504, upload-time = "2025-05-08T16:06:00.437Z" }, - { url = "https://files.pythonhosted.org/packages/37/4b/683aa044c4162e10ed7a7ea30527f2cbd92e6999c10a8ed8edb253836e9c/scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019", size = 38766735, upload-time = "2025-05-08T16:06:06.471Z" }, - { url = "https://files.pythonhosted.org/packages/7b/7e/f30be3d03de07f25dc0ec926d1681fed5c732d759ac8f51079708c79e680/scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6", size = 30173284, upload-time = "2025-05-08T16:06:11.686Z" }, - { url = "https://files.pythonhosted.org/packages/07/9c/0ddb0d0abdabe0d181c1793db51f02cd59e4901da6f9f7848e1f96759f0d/scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477", size = 22446958, upload-time = "2025-05-08T16:06:15.97Z" }, - { url = "https://files.pythonhosted.org/packages/af/43/0bce905a965f36c58ff80d8bea33f1f9351b05fad4beaad4eae34699b7a1/scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c", size = 25242454, upload-time = "2025-05-08T16:06:20.394Z" }, - { url = "https://files.pythonhosted.org/packages/56/30/a6f08f84ee5b7b28b4c597aca4cbe545535c39fe911845a96414700b64ba/scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45", size = 35210199, upload-time = "2025-05-08T16:06:26.159Z" }, - { url = "https://files.pythonhosted.org/packages/0b/1f/03f52c282437a168ee2c7c14a1a0d0781a9a4a8962d84ac05c06b4c5b555/scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49", size = 37309455, upload-time = "2025-05-08T16:06:32.778Z" }, - { url = "https://files.pythonhosted.org/packages/89/b1/fbb53137f42c4bf630b1ffdfc2151a62d1d1b903b249f030d2b1c0280af8/scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e", size = 36885140, upload-time = "2025-05-08T16:06:39.249Z" }, - { url = "https://files.pythonhosted.org/packages/2e/2e/025e39e339f5090df1ff266d021892694dbb7e63568edcfe43f892fa381d/scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539", size = 39710549, upload-time = "2025-05-08T16:06:45.729Z" }, - { url = "https://files.pythonhosted.org/packages/e6/eb/3bf6ea8ab7f1503dca3a10df2e4b9c3f6b3316df07f6c0ded94b281c7101/scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed", size = 40966184, upload-time = "2025-05-08T16:06:52.623Z" }, - { url = "https://files.pythonhosted.org/packages/73/18/ec27848c9baae6e0d6573eda6e01a602e5649ee72c27c3a8aad673ebecfd/scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759", size = 38728256, upload-time = "2025-05-08T16:06:58.696Z" }, - { url = "https://files.pythonhosted.org/packages/74/cd/1aef2184948728b4b6e21267d53b3339762c285a46a274ebb7863c9e4742/scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62", size = 30109540, upload-time = "2025-05-08T16:07:04.209Z" }, - { url = "https://files.pythonhosted.org/packages/5b/d8/59e452c0a255ec352bd0a833537a3bc1bfb679944c4938ab375b0a6b3a3e/scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb", size = 22383115, upload-time = "2025-05-08T16:07:08.998Z" }, - { url = "https://files.pythonhosted.org/packages/08/f5/456f56bbbfccf696263b47095291040655e3cbaf05d063bdc7c7517f32ac/scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730", size = 25163884, upload-time = "2025-05-08T16:07:14.091Z" }, - { url = "https://files.pythonhosted.org/packages/a2/66/a9618b6a435a0f0c0b8a6d0a2efb32d4ec5a85f023c2b79d39512040355b/scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825", size = 35174018, upload-time = "2025-05-08T16:07:19.427Z" }, - { url = "https://files.pythonhosted.org/packages/b5/09/c5b6734a50ad4882432b6bb7c02baf757f5b2f256041da5df242e2d7e6b6/scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7", size = 37269716, upload-time = "2025-05-08T16:07:25.712Z" }, - { url = "https://files.pythonhosted.org/packages/77/0a/eac00ff741f23bcabd352731ed9b8995a0a60ef57f5fd788d611d43d69a1/scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11", size = 36872342, upload-time = "2025-05-08T16:07:31.468Z" }, - { url = "https://files.pythonhosted.org/packages/fe/54/4379be86dd74b6ad81551689107360d9a3e18f24d20767a2d5b9253a3f0a/scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126", size = 39670869, upload-time = "2025-05-08T16:07:38.002Z" }, - { url = "https://files.pythonhosted.org/packages/87/2e/892ad2862ba54f084ffe8cc4a22667eaf9c2bcec6d2bff1d15713c6c0703/scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163", size = 40988851, upload-time = "2025-05-08T16:08:33.671Z" }, - { url = "https://files.pythonhosted.org/packages/1b/e9/7a879c137f7e55b30d75d90ce3eb468197646bc7b443ac036ae3fe109055/scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8", size = 38863011, upload-time = "2025-05-08T16:07:44.039Z" }, - { url = "https://files.pythonhosted.org/packages/51/d1/226a806bbd69f62ce5ef5f3ffadc35286e9fbc802f606a07eb83bf2359de/scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5", size = 30266407, upload-time = "2025-05-08T16:07:49.891Z" }, - { url = "https://files.pythonhosted.org/packages/e5/9b/f32d1d6093ab9eeabbd839b0f7619c62e46cc4b7b6dbf05b6e615bbd4400/scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e", size = 22540030, upload-time = "2025-05-08T16:07:54.121Z" }, - { url = "https://files.pythonhosted.org/packages/e7/29/c278f699b095c1a884f29fda126340fcc201461ee8bfea5c8bdb1c7c958b/scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb", size = 25218709, upload-time = "2025-05-08T16:07:58.506Z" }, - { url = "https://files.pythonhosted.org/packages/24/18/9e5374b617aba742a990581373cd6b68a2945d65cc588482749ef2e64467/scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723", size = 34809045, upload-time = "2025-05-08T16:08:03.929Z" }, - { url = "https://files.pythonhosted.org/packages/e1/fe/9c4361e7ba2927074360856db6135ef4904d505e9b3afbbcb073c4008328/scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb", size = 36703062, upload-time = "2025-05-08T16:08:09.558Z" }, - { url = "https://files.pythonhosted.org/packages/b7/8e/038ccfe29d272b30086b25a4960f757f97122cb2ec42e62b460d02fe98e9/scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4", size = 36393132, upload-time = "2025-05-08T16:08:15.34Z" }, - { url = "https://files.pythonhosted.org/packages/10/7e/5c12285452970be5bdbe8352c619250b97ebf7917d7a9a9e96b8a8140f17/scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5", size = 38979503, upload-time = "2025-05-08T16:08:21.513Z" }, - { url = "https://files.pythonhosted.org/packages/81/06/0a5e5349474e1cbc5757975b21bd4fad0e72ebf138c5592f191646154e06/scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca", size = 40308097, upload-time = "2025-05-08T16:08:27.627Z" }, -] - -[[package]] -name = "scipy" -version = "1.16.3" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] -dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0a/ca/d8ace4f98322d01abcd52d381134344bf7b431eba7ed8b42bdea5a3c2ac9/scipy-1.16.3.tar.gz", hash = "sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb", size = 30597883, upload-time = "2025-10-28T17:38:54.068Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9b/5f/6f37d7439de1455ce9c5a556b8d1db0979f03a796c030bafdf08d35b7bf9/scipy-1.16.3-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:40be6cf99e68b6c4321e9f8782e7d5ff8265af28ef2cd56e9c9b2638fa08ad97", size = 36630881, upload-time = "2025-10-28T17:31:47.104Z" }, - { url = "https://files.pythonhosted.org/packages/7c/89/d70e9f628749b7e4db2aa4cd89735502ff3f08f7b9b27d2e799485987cd9/scipy-1.16.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:8be1ca9170fcb6223cc7c27f4305d680ded114a1567c0bd2bfcbf947d1b17511", size = 28941012, upload-time = "2025-10-28T17:31:53.411Z" }, - { url = "https://files.pythonhosted.org/packages/a8/a8/0e7a9a6872a923505dbdf6bb93451edcac120363131c19013044a1e7cb0c/scipy-1.16.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:bea0a62734d20d67608660f69dcda23e7f90fb4ca20974ab80b6ed40df87a005", size = 20931935, upload-time = "2025-10-28T17:31:57.361Z" }, - { url = "https://files.pythonhosted.org/packages/bd/c7/020fb72bd79ad798e4dbe53938543ecb96b3a9ac3fe274b7189e23e27353/scipy-1.16.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:2a207a6ce9c24f1951241f4693ede2d393f59c07abc159b2cb2be980820e01fb", size = 23534466, upload-time = "2025-10-28T17:32:01.875Z" }, - { url = "https://files.pythonhosted.org/packages/be/a0/668c4609ce6dbf2f948e167836ccaf897f95fb63fa231c87da7558a374cd/scipy-1.16.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:532fb5ad6a87e9e9cd9c959b106b73145a03f04c7d57ea3e6f6bb60b86ab0876", size = 33593618, upload-time = "2025-10-28T17:32:06.902Z" }, - { url = "https://files.pythonhosted.org/packages/ca/6e/8942461cf2636cdae083e3eb72622a7fbbfa5cf559c7d13ab250a5dbdc01/scipy-1.16.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0151a0749efeaaab78711c78422d413c583b8cdd2011a3c1d6c794938ee9fdb2", size = 35899798, upload-time = "2025-10-28T17:32:12.665Z" }, - { url = "https://files.pythonhosted.org/packages/79/e8/d0f33590364cdbd67f28ce79368b373889faa4ee959588beddf6daef9abe/scipy-1.16.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b7180967113560cca57418a7bc719e30366b47959dd845a93206fbed693c867e", size = 36226154, upload-time = "2025-10-28T17:32:17.961Z" }, - { url = "https://files.pythonhosted.org/packages/39/c1/1903de608c0c924a1749c590064e65810f8046e437aba6be365abc4f7557/scipy-1.16.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:deb3841c925eeddb6afc1e4e4a45e418d19ec7b87c5df177695224078e8ec733", size = 38878540, upload-time = "2025-10-28T17:32:23.907Z" }, - { url = "https://files.pythonhosted.org/packages/f1/d0/22ec7036ba0b0a35bccb7f25ab407382ed34af0b111475eb301c16f8a2e5/scipy-1.16.3-cp311-cp311-win_amd64.whl", hash = "sha256:53c3844d527213631e886621df5695d35e4f6a75f620dca412bcd292f6b87d78", size = 38722107, upload-time = "2025-10-28T17:32:29.921Z" }, - { url = "https://files.pythonhosted.org/packages/7b/60/8a00e5a524bb3bf8898db1650d350f50e6cffb9d7a491c561dc9826c7515/scipy-1.16.3-cp311-cp311-win_arm64.whl", hash = "sha256:9452781bd879b14b6f055b26643703551320aa8d79ae064a71df55c00286a184", size = 25506272, upload-time = "2025-10-28T17:32:34.577Z" }, - { url = "https://files.pythonhosted.org/packages/40/41/5bf55c3f386b1643812f3a5674edf74b26184378ef0f3e7c7a09a7e2ca7f/scipy-1.16.3-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:81fc5827606858cf71446a5e98715ba0e11f0dbc83d71c7409d05486592a45d6", size = 36659043, upload-time = "2025-10-28T17:32:40.285Z" }, - { url = "https://files.pythonhosted.org/packages/1e/0f/65582071948cfc45d43e9870bf7ca5f0e0684e165d7c9ef4e50d783073eb/scipy-1.16.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:c97176013d404c7346bf57874eaac5187d969293bf40497140b0a2b2b7482e07", size = 28898986, upload-time = "2025-10-28T17:32:45.325Z" }, - { url = "https://files.pythonhosted.org/packages/96/5e/36bf3f0ac298187d1ceadde9051177d6a4fe4d507e8f59067dc9dd39e650/scipy-1.16.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2b71d93c8a9936046866acebc915e2af2e292b883ed6e2cbe5c34beb094b82d9", size = 20889814, upload-time = "2025-10-28T17:32:49.277Z" }, - { url = "https://files.pythonhosted.org/packages/80/35/178d9d0c35394d5d5211bbff7ac4f2986c5488b59506fef9e1de13ea28d3/scipy-1.16.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:3d4a07a8e785d80289dfe66b7c27d8634a773020742ec7187b85ccc4b0e7b686", size = 23565795, upload-time = "2025-10-28T17:32:53.337Z" }, - { url = "https://files.pythonhosted.org/packages/fa/46/d1146ff536d034d02f83c8afc3c4bab2eddb634624d6529a8512f3afc9da/scipy-1.16.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0553371015692a898e1aa858fed67a3576c34edefa6b7ebdb4e9dde49ce5c203", size = 33349476, upload-time = "2025-10-28T17:32:58.353Z" }, - { url = "https://files.pythonhosted.org/packages/79/2e/415119c9ab3e62249e18c2b082c07aff907a273741b3f8160414b0e9193c/scipy-1.16.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:72d1717fd3b5e6ec747327ce9bda32d5463f472c9dce9f54499e81fbd50245a1", size = 35676692, upload-time = "2025-10-28T17:33:03.88Z" }, - { url = "https://files.pythonhosted.org/packages/27/82/df26e44da78bf8d2aeaf7566082260cfa15955a5a6e96e6a29935b64132f/scipy-1.16.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1fb2472e72e24d1530debe6ae078db70fb1605350c88a3d14bc401d6306dbffe", size = 36019345, upload-time = "2025-10-28T17:33:09.773Z" }, - { url = "https://files.pythonhosted.org/packages/82/31/006cbb4b648ba379a95c87262c2855cd0d09453e500937f78b30f02fa1cd/scipy-1.16.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c5192722cffe15f9329a3948c4b1db789fbb1f05c97899187dcf009b283aea70", size = 38678975, upload-time = "2025-10-28T17:33:15.809Z" }, - { url = "https://files.pythonhosted.org/packages/c2/7f/acbd28c97e990b421af7d6d6cd416358c9c293fc958b8529e0bd5d2a2a19/scipy-1.16.3-cp312-cp312-win_amd64.whl", hash = "sha256:56edc65510d1331dae01ef9b658d428e33ed48b4f77b1d51caf479a0253f96dc", size = 38555926, upload-time = "2025-10-28T17:33:21.388Z" }, - { url = "https://files.pythonhosted.org/packages/ce/69/c5c7807fd007dad4f48e0a5f2153038dc96e8725d3345b9ee31b2b7bed46/scipy-1.16.3-cp312-cp312-win_arm64.whl", hash = "sha256:a8a26c78ef223d3e30920ef759e25625a0ecdd0d60e5a8818b7513c3e5384cf2", size = 25463014, upload-time = "2025-10-28T17:33:25.975Z" }, - { url = "https://files.pythonhosted.org/packages/72/f1/57e8327ab1508272029e27eeef34f2302ffc156b69e7e233e906c2a5c379/scipy-1.16.3-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:d2ec56337675e61b312179a1ad124f5f570c00f920cc75e1000025451b88241c", size = 36617856, upload-time = "2025-10-28T17:33:31.375Z" }, - { url = "https://files.pythonhosted.org/packages/44/13/7e63cfba8a7452eb756306aa2fd9b37a29a323b672b964b4fdeded9a3f21/scipy-1.16.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:16b8bc35a4cc24db80a0ec836a9286d0e31b2503cb2fd7ff7fb0e0374a97081d", size = 28874306, upload-time = "2025-10-28T17:33:36.516Z" }, - { url = "https://files.pythonhosted.org/packages/15/65/3a9400efd0228a176e6ec3454b1fa998fbbb5a8defa1672c3f65706987db/scipy-1.16.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:5803c5fadd29de0cf27fa08ccbfe7a9e5d741bf63e4ab1085437266f12460ff9", size = 20865371, upload-time = "2025-10-28T17:33:42.094Z" }, - { url = "https://files.pythonhosted.org/packages/33/d7/eda09adf009a9fb81827194d4dd02d2e4bc752cef16737cc4ef065234031/scipy-1.16.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:b81c27fc41954319a943d43b20e07c40bdcd3ff7cf013f4fb86286faefe546c4", size = 23524877, upload-time = "2025-10-28T17:33:48.483Z" }, - { url = "https://files.pythonhosted.org/packages/7d/6b/3f911e1ebc364cb81320223a3422aab7d26c9c7973109a9cd0f27c64c6c0/scipy-1.16.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0c3b4dd3d9b08dbce0f3440032c52e9e2ab9f96ade2d3943313dfe51a7056959", size = 33342103, upload-time = "2025-10-28T17:33:56.495Z" }, - { url = "https://files.pythonhosted.org/packages/21/f6/4bfb5695d8941e5c570a04d9fcd0d36bce7511b7d78e6e75c8f9791f82d0/scipy-1.16.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7dc1360c06535ea6116a2220f760ae572db9f661aba2d88074fe30ec2aa1ff88", size = 35697297, upload-time = "2025-10-28T17:34:04.722Z" }, - { url = "https://files.pythonhosted.org/packages/04/e1/6496dadbc80d8d896ff72511ecfe2316b50313bfc3ebf07a3f580f08bd8c/scipy-1.16.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:663b8d66a8748051c3ee9c96465fb417509315b99c71550fda2591d7dd634234", size = 36021756, upload-time = "2025-10-28T17:34:13.482Z" }, - { url = "https://files.pythonhosted.org/packages/fe/bd/a8c7799e0136b987bda3e1b23d155bcb31aec68a4a472554df5f0937eef7/scipy-1.16.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eab43fae33a0c39006a88096cd7b4f4ef545ea0447d250d5ac18202d40b6611d", size = 38696566, upload-time = "2025-10-28T17:34:22.384Z" }, - { url = "https://files.pythonhosted.org/packages/cd/01/1204382461fcbfeb05b6161b594f4007e78b6eba9b375382f79153172b4d/scipy-1.16.3-cp313-cp313-win_amd64.whl", hash = "sha256:062246acacbe9f8210de8e751b16fc37458213f124bef161a5a02c7a39284304", size = 38529877, upload-time = "2025-10-28T17:35:51.076Z" }, - { url = "https://files.pythonhosted.org/packages/7f/14/9d9fbcaa1260a94f4bb5b64ba9213ceb5d03cd88841fe9fd1ffd47a45b73/scipy-1.16.3-cp313-cp313-win_arm64.whl", hash = "sha256:50a3dbf286dbc7d84f176f9a1574c705f277cb6565069f88f60db9eafdbe3ee2", size = 25455366, upload-time = "2025-10-28T17:35:59.014Z" }, - { url = "https://files.pythonhosted.org/packages/e2/a3/9ec205bd49f42d45d77f1730dbad9ccf146244c1647605cf834b3a8c4f36/scipy-1.16.3-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:fb4b29f4cf8cc5a8d628bc8d8e26d12d7278cd1f219f22698a378c3d67db5e4b", size = 37027931, upload-time = "2025-10-28T17:34:31.451Z" }, - { url = "https://files.pythonhosted.org/packages/25/06/ca9fd1f3a4589cbd825b1447e5db3a8ebb969c1eaf22c8579bd286f51b6d/scipy-1.16.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:8d09d72dc92742988b0e7750bddb8060b0c7079606c0d24a8cc8e9c9c11f9079", size = 29400081, upload-time = "2025-10-28T17:34:39.087Z" }, - { url = "https://files.pythonhosted.org/packages/6a/56/933e68210d92657d93fb0e381683bc0e53a965048d7358ff5fbf9e6a1b17/scipy-1.16.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:03192a35e661470197556de24e7cb1330d84b35b94ead65c46ad6f16f6b28f2a", size = 21391244, upload-time = "2025-10-28T17:34:45.234Z" }, - { url = "https://files.pythonhosted.org/packages/a8/7e/779845db03dc1418e215726329674b40576879b91814568757ff0014ad65/scipy-1.16.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:57d01cb6f85e34f0946b33caa66e892aae072b64b034183f3d87c4025802a119", size = 23929753, upload-time = "2025-10-28T17:34:51.793Z" }, - { url = "https://files.pythonhosted.org/packages/4c/4b/f756cf8161d5365dcdef9e5f460ab226c068211030a175d2fc7f3f41ca64/scipy-1.16.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:96491a6a54e995f00a28a3c3badfff58fd093bf26cd5fb34a2188c8c756a3a2c", size = 33496912, upload-time = "2025-10-28T17:34:59.8Z" }, - { url = "https://files.pythonhosted.org/packages/09/b5/222b1e49a58668f23839ca1542a6322bb095ab8d6590d4f71723869a6c2c/scipy-1.16.3-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cd13e354df9938598af2be05822c323e97132d5e6306b83a3b4ee6724c6e522e", size = 35802371, upload-time = "2025-10-28T17:35:08.173Z" }, - { url = "https://files.pythonhosted.org/packages/c1/8d/5964ef68bb31829bde27611f8c9deeac13764589fe74a75390242b64ca44/scipy-1.16.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:63d3cdacb8a824a295191a723ee5e4ea7768ca5ca5f2838532d9f2e2b3ce2135", size = 36190477, upload-time = "2025-10-28T17:35:16.7Z" }, - { url = "https://files.pythonhosted.org/packages/ab/f2/b31d75cb9b5fa4dd39a0a931ee9b33e7f6f36f23be5ef560bf72e0f92f32/scipy-1.16.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e7efa2681ea410b10dde31a52b18b0154d66f2485328830e45fdf183af5aefc6", size = 38796678, upload-time = "2025-10-28T17:35:26.354Z" }, - { url = "https://files.pythonhosted.org/packages/b4/1e/b3723d8ff64ab548c38d87055483714fefe6ee20e0189b62352b5e015bb1/scipy-1.16.3-cp313-cp313t-win_amd64.whl", hash = "sha256:2d1ae2cf0c350e7705168ff2429962a89ad90c2d49d1dd300686d8b2a5af22fc", size = 38640178, upload-time = "2025-10-28T17:35:35.304Z" }, - { url = "https://files.pythonhosted.org/packages/8e/f3/d854ff38789aca9b0cc23008d607ced9de4f7ab14fa1ca4329f86b3758ca/scipy-1.16.3-cp313-cp313t-win_arm64.whl", hash = "sha256:0c623a54f7b79dd88ef56da19bc2873afec9673a48f3b85b18e4d402bdd29a5a", size = 25803246, upload-time = "2025-10-28T17:35:42.155Z" }, - { url = "https://files.pythonhosted.org/packages/99/f6/99b10fd70f2d864c1e29a28bbcaa0c6340f9d8518396542d9ea3b4aaae15/scipy-1.16.3-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:875555ce62743e1d54f06cdf22c1e0bc47b91130ac40fe5d783b6dfa114beeb6", size = 36606469, upload-time = "2025-10-28T17:36:08.741Z" }, - { url = "https://files.pythonhosted.org/packages/4d/74/043b54f2319f48ea940dd025779fa28ee360e6b95acb7cd188fad4391c6b/scipy-1.16.3-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:bb61878c18a470021fb515a843dc7a76961a8daceaaaa8bad1332f1bf4b54657", size = 28872043, upload-time = "2025-10-28T17:36:16.599Z" }, - { url = "https://files.pythonhosted.org/packages/4d/e1/24b7e50cc1c4ee6ffbcb1f27fe9f4c8b40e7911675f6d2d20955f41c6348/scipy-1.16.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:f2622206f5559784fa5c4b53a950c3c7c1cf3e84ca1b9c4b6c03f062f289ca26", size = 20862952, upload-time = "2025-10-28T17:36:22.966Z" }, - { url = "https://files.pythonhosted.org/packages/dd/3a/3e8c01a4d742b730df368e063787c6808597ccb38636ed821d10b39ca51b/scipy-1.16.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7f68154688c515cdb541a31ef8eb66d8cd1050605be9dcd74199cbd22ac739bc", size = 23508512, upload-time = "2025-10-28T17:36:29.731Z" }, - { url = "https://files.pythonhosted.org/packages/1f/60/c45a12b98ad591536bfe5330cb3cfe1850d7570259303563b1721564d458/scipy-1.16.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8b3c820ddb80029fe9f43d61b81d8b488d3ef8ca010d15122b152db77dc94c22", size = 33413639, upload-time = "2025-10-28T17:36:37.982Z" }, - { url = "https://files.pythonhosted.org/packages/71/bc/35957d88645476307e4839712642896689df442f3e53b0fa016ecf8a3357/scipy-1.16.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d3837938ae715fc0fe3c39c0202de3a8853aff22ca66781ddc2ade7554b7e2cc", size = 35704729, upload-time = "2025-10-28T17:36:46.547Z" }, - { url = "https://files.pythonhosted.org/packages/3b/15/89105e659041b1ca11c386e9995aefacd513a78493656e57789f9d9eab61/scipy-1.16.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:aadd23f98f9cb069b3bd64ddc900c4d277778242e961751f77a8cb5c4b946fb0", size = 36086251, upload-time = "2025-10-28T17:36:55.161Z" }, - { url = "https://files.pythonhosted.org/packages/1a/87/c0ea673ac9c6cc50b3da2196d860273bc7389aa69b64efa8493bdd25b093/scipy-1.16.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b7c5f1bda1354d6a19bc6af73a649f8285ca63ac6b52e64e658a5a11d4d69800", size = 38716681, upload-time = "2025-10-28T17:37:04.1Z" }, - { url = "https://files.pythonhosted.org/packages/91/06/837893227b043fb9b0d13e4bd7586982d8136cb249ffb3492930dab905b8/scipy-1.16.3-cp314-cp314-win_amd64.whl", hash = "sha256:e5d42a9472e7579e473879a1990327830493a7047506d58d73fc429b84c1d49d", size = 39358423, upload-time = "2025-10-28T17:38:20.005Z" }, - { url = "https://files.pythonhosted.org/packages/95/03/28bce0355e4d34a7c034727505a02d19548549e190bedd13a721e35380b7/scipy-1.16.3-cp314-cp314-win_arm64.whl", hash = "sha256:6020470b9d00245926f2d5bb93b119ca0340f0d564eb6fbaad843eaebf9d690f", size = 26135027, upload-time = "2025-10-28T17:38:24.966Z" }, - { url = "https://files.pythonhosted.org/packages/b2/6f/69f1e2b682efe9de8fe9f91040f0cd32f13cfccba690512ba4c582b0bc29/scipy-1.16.3-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:e1d27cbcb4602680a49d787d90664fa4974063ac9d4134813332a8c53dbe667c", size = 37028379, upload-time = "2025-10-28T17:37:14.061Z" }, - { url = "https://files.pythonhosted.org/packages/7c/2d/e826f31624a5ebbab1cd93d30fd74349914753076ed0593e1d56a98c4fb4/scipy-1.16.3-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:9b9c9c07b6d56a35777a1b4cc8966118fb16cfd8daf6743867d17d36cfad2d40", size = 29400052, upload-time = "2025-10-28T17:37:21.709Z" }, - { url = "https://files.pythonhosted.org/packages/69/27/d24feb80155f41fd1f156bf144e7e049b4e2b9dd06261a242905e3bc7a03/scipy-1.16.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:3a4c460301fb2cffb7f88528f30b3127742cff583603aa7dc964a52c463b385d", size = 21391183, upload-time = "2025-10-28T17:37:29.559Z" }, - { url = "https://files.pythonhosted.org/packages/f8/d3/1b229e433074c5738a24277eca520a2319aac7465eea7310ea6ae0e98ae2/scipy-1.16.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f667a4542cc8917af1db06366d3f78a5c8e83badd56409f94d1eac8d8d9133fa", size = 23930174, upload-time = "2025-10-28T17:37:36.306Z" }, - { url = "https://files.pythonhosted.org/packages/16/9d/d9e148b0ec680c0f042581a2be79a28a7ab66c0c4946697f9e7553ead337/scipy-1.16.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f379b54b77a597aa7ee5e697df0d66903e41b9c85a6dd7946159e356319158e8", size = 33497852, upload-time = "2025-10-28T17:37:42.228Z" }, - { url = "https://files.pythonhosted.org/packages/2f/22/4e5f7561e4f98b7bea63cf3fd7934bff1e3182e9f1626b089a679914d5c8/scipy-1.16.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4aff59800a3b7f786b70bfd6ab551001cb553244988d7d6b8299cb1ea653b353", size = 35798595, upload-time = "2025-10-28T17:37:48.102Z" }, - { url = "https://files.pythonhosted.org/packages/83/42/6644d714c179429fc7196857866f219fef25238319b650bb32dde7bf7a48/scipy-1.16.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:da7763f55885045036fabcebd80144b757d3db06ab0861415d1c3b7c69042146", size = 36186269, upload-time = "2025-10-28T17:37:53.72Z" }, - { url = "https://files.pythonhosted.org/packages/ac/70/64b4d7ca92f9cf2e6fc6aaa2eecf80bb9b6b985043a9583f32f8177ea122/scipy-1.16.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:ffa6eea95283b2b8079b821dc11f50a17d0571c92b43e2b5b12764dc5f9b285d", size = 38802779, upload-time = "2025-10-28T17:37:59.393Z" }, - { url = "https://files.pythonhosted.org/packages/61/82/8d0e39f62764cce5ffd5284131e109f07cf8955aef9ab8ed4e3aa5e30539/scipy-1.16.3-cp314-cp314t-win_amd64.whl", hash = "sha256:d9f48cafc7ce94cf9b15c6bffdc443a81a27bf7075cf2dcd5c8b40f85d10c4e7", size = 39471128, upload-time = "2025-10-28T17:38:05.259Z" }, - { url = "https://files.pythonhosted.org/packages/64/47/a494741db7280eae6dc033510c319e34d42dd41b7ac0c7ead39354d1a2b5/scipy-1.16.3-cp314-cp314t-win_arm64.whl", hash = "sha256:21d9d6b197227a12dcbf9633320a4e34c6b0e51c57268df255a0942983bac562", size = 26464127, upload-time = "2025-10-28T17:38:11.34Z" }, +version = "1.17.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/7a/97/5a3609c4f8d58b039179648e62dd220f89864f56f7357f5d4f45c29eb2cc/scipy-1.17.1.tar.gz", hash = "sha256:95d8e012d8cb8816c226aef832200b1d45109ed4464303e997c5b13122b297c0", size = 30573822, upload-time = "2026-02-23T00:26:24.851Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/df/75/b4ce781849931fef6fd529afa6b63711d5a733065722d0c3e2724af9e40a/scipy-1.17.1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:1f95b894f13729334fb990162e911c9e5dc1ab390c58aa6cbecb389c5b5e28ec", size = 31613675, upload-time = "2026-02-23T00:16:00.13Z" }, + { url = "https://files.pythonhosted.org/packages/f7/58/bccc2861b305abdd1b8663d6130c0b3d7cc22e8d86663edbc8401bfd40d4/scipy-1.17.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:e18f12c6b0bc5a592ed23d3f7b891f68fd7f8241d69b7883769eb5d5dfb52696", size = 28162057, upload-time = "2026-02-23T00:16:09.456Z" }, + { url = "https://files.pythonhosted.org/packages/6d/ee/18146b7757ed4976276b9c9819108adbc73c5aad636e5353e20746b73069/scipy-1.17.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a3472cfbca0a54177d0faa68f697d8ba4c80bbdc19908c3465556d9f7efce9ee", size = 20334032, upload-time = "2026-02-23T00:16:17.358Z" }, + { url = "https://files.pythonhosted.org/packages/ec/e6/cef1cf3557f0c54954198554a10016b6a03b2ec9e22a4e1df734936bd99c/scipy-1.17.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:766e0dc5a616d026a3a1cffa379af959671729083882f50307e18175797b3dfd", size = 22709533, upload-time = "2026-02-23T00:16:25.791Z" }, + { url = "https://files.pythonhosted.org/packages/4d/60/8804678875fc59362b0fb759ab3ecce1f09c10a735680318ac30da8cd76b/scipy-1.17.1-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:744b2bf3640d907b79f3fd7874efe432d1cf171ee721243e350f55234b4cec4c", size = 33062057, upload-time = "2026-02-23T00:16:36.931Z" }, + { url = "https://files.pythonhosted.org/packages/09/7d/af933f0f6e0767995b4e2d705a0665e454d1c19402aa7e895de3951ebb04/scipy-1.17.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43af8d1f3bea642559019edfe64e9b11192a8978efbd1539d7bc2aaa23d92de4", size = 35349300, upload-time = "2026-02-23T00:16:49.108Z" }, + { url = "https://files.pythonhosted.org/packages/b4/3d/7ccbbdcbb54c8fdc20d3b6930137c782a163fa626f0aef920349873421ba/scipy-1.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cd96a1898c0a47be4520327e01f874acfd61fb48a9420f8aa9f6483412ffa444", size = 35127333, upload-time = "2026-02-23T00:17:01.293Z" }, + { url = "https://files.pythonhosted.org/packages/e8/19/f926cb11c42b15ba08e3a71e376d816ac08614f769b4f47e06c3580c836a/scipy-1.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4eb6c25dd62ee8d5edf68a8e1c171dd71c292fdae95d8aeb3dd7d7de4c364082", size = 37741314, upload-time = "2026-02-23T00:17:12.576Z" }, + { url = "https://files.pythonhosted.org/packages/95/da/0d1df507cf574b3f224ccc3d45244c9a1d732c81dcb26b1e8a766ae271a8/scipy-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:d30e57c72013c2a4fe441c2fcb8e77b14e152ad48b5464858e07e2ad9fbfceff", size = 36607512, upload-time = "2026-02-23T00:17:23.424Z" }, + { url = "https://files.pythonhosted.org/packages/68/7f/bdd79ceaad24b671543ffe0ef61ed8e659440eb683b66f033454dcee90eb/scipy-1.17.1-cp311-cp311-win_arm64.whl", hash = "sha256:9ecb4efb1cd6e8c4afea0daa91a87fbddbce1b99d2895d151596716c0b2e859d", size = 24599248, upload-time = "2026-02-23T00:17:34.561Z" }, + { url = "https://files.pythonhosted.org/packages/35/48/b992b488d6f299dbe3f11a20b24d3dda3d46f1a635ede1c46b5b17a7b163/scipy-1.17.1-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:35c3a56d2ef83efc372eaec584314bd0ef2e2f0d2adb21c55e6ad5b344c0dcb8", size = 31610954, upload-time = "2026-02-23T00:17:49.855Z" }, + { url = "https://files.pythonhosted.org/packages/b2/02/cf107b01494c19dc100f1d0b7ac3cc08666e96ba2d64db7626066cee895e/scipy-1.17.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fcb310ddb270a06114bb64bbe53c94926b943f5b7f0842194d585c65eb4edd76", size = 28172662, upload-time = "2026-02-23T00:18:01.64Z" }, + { url = "https://files.pythonhosted.org/packages/cf/a9/599c28631bad314d219cf9ffd40e985b24d603fc8a2f4ccc5ae8419a535b/scipy-1.17.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:cc90d2e9c7e5c7f1a482c9875007c095c3194b1cfedca3c2f3291cdc2bc7c086", size = 20344366, upload-time = "2026-02-23T00:18:12.015Z" }, + { url = "https://files.pythonhosted.org/packages/35/f5/906eda513271c8deb5af284e5ef0206d17a96239af79f9fa0aebfe0e36b4/scipy-1.17.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:c80be5ede8f3f8eded4eff73cc99a25c388ce98e555b17d31da05287015ffa5b", size = 22704017, upload-time = "2026-02-23T00:18:21.502Z" }, + { url = "https://files.pythonhosted.org/packages/da/34/16f10e3042d2f1d6b66e0428308ab52224b6a23049cb2f5c1756f713815f/scipy-1.17.1-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e19ebea31758fac5893a2ac360fedd00116cbb7628e650842a6691ba7ca28a21", size = 32927842, upload-time = "2026-02-23T00:18:35.367Z" }, + { url = "https://files.pythonhosted.org/packages/01/8e/1e35281b8ab6d5d72ebe9911edcdffa3f36b04ed9d51dec6dd140396e220/scipy-1.17.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:02ae3b274fde71c5e92ac4d54bc06c42d80e399fec704383dcd99b301df37458", size = 35235890, upload-time = "2026-02-23T00:18:49.188Z" }, + { url = "https://files.pythonhosted.org/packages/c5/5c/9d7f4c88bea6e0d5a4f1bc0506a53a00e9fcb198de372bfe4d3652cef482/scipy-1.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a604bae87c6195d8b1045eddece0514d041604b14f2727bbc2b3020172045eb", size = 35003557, upload-time = "2026-02-23T00:18:54.74Z" }, + { url = "https://files.pythonhosted.org/packages/65/94/7698add8f276dbab7a9de9fb6b0e02fc13ee61d51c7c3f85ac28b65e1239/scipy-1.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f590cd684941912d10becc07325a3eeb77886fe981415660d9265c4c418d0bea", size = 37625856, upload-time = "2026-02-23T00:19:00.307Z" }, + { url = "https://files.pythonhosted.org/packages/a2/84/dc08d77fbf3d87d3ee27f6a0c6dcce1de5829a64f2eae85a0ecc1f0daa73/scipy-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:41b71f4a3a4cab9d366cd9065b288efc4d4f3c0b37a91a8e0947fb5bd7f31d87", size = 36549682, upload-time = "2026-02-23T00:19:07.67Z" }, + { url = "https://files.pythonhosted.org/packages/bc/98/fe9ae9ffb3b54b62559f52dedaebe204b408db8109a8c66fdd04869e6424/scipy-1.17.1-cp312-cp312-win_arm64.whl", hash = "sha256:f4115102802df98b2b0db3cce5cb9b92572633a1197c77b7553e5203f284a5b3", size = 24547340, upload-time = "2026-02-23T00:19:12.024Z" }, + { url = "https://files.pythonhosted.org/packages/76/27/07ee1b57b65e92645f219b37148a7e7928b82e2b5dbeccecb4dff7c64f0b/scipy-1.17.1-cp313-cp313-macosx_10_14_x86_64.whl", hash = "sha256:5e3c5c011904115f88a39308379c17f91546f77c1667cea98739fe0fccea804c", size = 31590199, upload-time = "2026-02-23T00:19:17.192Z" }, + { url = "https://files.pythonhosted.org/packages/ec/ae/db19f8ab842e9b724bf5dbb7db29302a91f1e55bc4d04b1025d6d605a2c5/scipy-1.17.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:6fac755ca3d2c3edcb22f479fceaa241704111414831ddd3bc6056e18516892f", size = 28154001, upload-time = "2026-02-23T00:19:22.241Z" }, + { url = "https://files.pythonhosted.org/packages/5b/58/3ce96251560107b381cbd6e8413c483bbb1228a6b919fa8652b0d4090e7f/scipy-1.17.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:7ff200bf9d24f2e4d5dc6ee8c3ac64d739d3a89e2326ba68aaf6c4a2b838fd7d", size = 20325719, upload-time = "2026-02-23T00:19:26.329Z" }, + { url = "https://files.pythonhosted.org/packages/b2/83/15087d945e0e4d48ce2377498abf5ad171ae013232ae31d06f336e64c999/scipy-1.17.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:4b400bdc6f79fa02a4d86640310dde87a21fba0c979efff5248908c6f15fad1b", size = 22683595, upload-time = "2026-02-23T00:19:30.304Z" }, + { url = "https://files.pythonhosted.org/packages/b4/e0/e58fbde4a1a594c8be8114eb4aac1a55bcd6587047efc18a61eb1f5c0d30/scipy-1.17.1-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2b64ca7d4aee0102a97f3ba22124052b4bd2152522355073580bf4845e2550b6", size = 32896429, upload-time = "2026-02-23T00:19:35.536Z" }, + { url = "https://files.pythonhosted.org/packages/f5/5f/f17563f28ff03c7b6799c50d01d5d856a1d55f2676f537ca8d28c7f627cd/scipy-1.17.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:581b2264fc0aa555f3f435a5944da7504ea3a065d7029ad60e7c3d1ae09c5464", size = 35203952, upload-time = "2026-02-23T00:19:42.259Z" }, + { url = "https://files.pythonhosted.org/packages/8d/a5/9afd17de24f657fdfe4df9a3f1ea049b39aef7c06000c13db1530d81ccca/scipy-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:beeda3d4ae615106d7094f7e7cef6218392e4465cc95d25f900bebabfded0950", size = 34979063, upload-time = "2026-02-23T00:19:47.547Z" }, + { url = "https://files.pythonhosted.org/packages/8b/13/88b1d2384b424bf7c924f2038c1c409f8d88bb2a8d49d097861dd64a57b2/scipy-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6609bc224e9568f65064cfa72edc0f24ee6655b47575954ec6339534b2798369", size = 37598449, upload-time = "2026-02-23T00:19:53.238Z" }, + { url = "https://files.pythonhosted.org/packages/35/e5/d6d0e51fc888f692a35134336866341c08655d92614f492c6860dc45bb2c/scipy-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:37425bc9175607b0268f493d79a292c39f9d001a357bebb6b88fdfaff13f6448", size = 36510943, upload-time = "2026-02-23T00:20:50.89Z" }, + { url = "https://files.pythonhosted.org/packages/2a/fd/3be73c564e2a01e690e19cc618811540ba5354c67c8680dce3281123fb79/scipy-1.17.1-cp313-cp313-win_arm64.whl", hash = "sha256:5cf36e801231b6a2059bf354720274b7558746f3b1a4efb43fcf557ccd484a87", size = 24545621, upload-time = "2026-02-23T00:20:55.871Z" }, + { url = "https://files.pythonhosted.org/packages/6f/6b/17787db8b8114933a66f9dcc479a8272e4b4da75fe03b0c282f7b0ade8cd/scipy-1.17.1-cp313-cp313t-macosx_10_14_x86_64.whl", hash = "sha256:d59c30000a16d8edc7e64152e30220bfbd724c9bbb08368c054e24c651314f0a", size = 31936708, upload-time = "2026-02-23T00:19:58.694Z" }, + { url = "https://files.pythonhosted.org/packages/38/2e/524405c2b6392765ab1e2b722a41d5da33dc5c7b7278184a8ad29b6cb206/scipy-1.17.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:010f4333c96c9bb1a4516269e33cb5917b08ef2166d5556ca2fd9f082a9e6ea0", size = 28570135, upload-time = "2026-02-23T00:20:03.934Z" }, + { url = "https://files.pythonhosted.org/packages/fd/c3/5bd7199f4ea8556c0c8e39f04ccb014ac37d1468e6cfa6a95c6b3562b76e/scipy-1.17.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:2ceb2d3e01c5f1d83c4189737a42d9cb2fc38a6eeed225e7515eef71ad301dce", size = 20741977, upload-time = "2026-02-23T00:20:07.935Z" }, + { url = "https://files.pythonhosted.org/packages/d9/b8/8ccd9b766ad14c78386599708eb745f6b44f08400a5fd0ade7cf89b6fc93/scipy-1.17.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:844e165636711ef41f80b4103ed234181646b98a53c8f05da12ca5ca289134f6", size = 23029601, upload-time = "2026-02-23T00:20:12.161Z" }, + { url = "https://files.pythonhosted.org/packages/6d/a0/3cb6f4d2fb3e17428ad2880333cac878909ad1a89f678527b5328b93c1d4/scipy-1.17.1-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:158dd96d2207e21c966063e1635b1063cd7787b627b6f07305315dd73d9c679e", size = 33019667, upload-time = "2026-02-23T00:20:17.208Z" }, + { url = "https://files.pythonhosted.org/packages/f3/c3/2d834a5ac7bf3a0c806ad1508efc02dda3c8c61472a56132d7894c312dea/scipy-1.17.1-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74cbb80d93260fe2ffa334efa24cb8f2f0f622a9b9febf8b483c0b865bfb3475", size = 35264159, upload-time = "2026-02-23T00:20:23.087Z" }, + { url = "https://files.pythonhosted.org/packages/4d/77/d3ed4becfdbd217c52062fafe35a72388d1bd82c2d0ba5ca19d6fcc93e11/scipy-1.17.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:dbc12c9f3d185f5c737d801da555fb74b3dcfa1a50b66a1a93e09190f41fab50", size = 35102771, upload-time = "2026-02-23T00:20:28.636Z" }, + { url = "https://files.pythonhosted.org/packages/bd/12/d19da97efde68ca1ee5538bb261d5d2c062f0c055575128f11a2730e3ac1/scipy-1.17.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:94055a11dfebe37c656e70317e1996dc197e1a15bbcc351bcdd4610e128fe1ca", size = 37665910, upload-time = "2026-02-23T00:20:34.743Z" }, + { url = "https://files.pythonhosted.org/packages/06/1c/1172a88d507a4baaf72c5a09bb6c018fe2ae0ab622e5830b703a46cc9e44/scipy-1.17.1-cp313-cp313t-win_amd64.whl", hash = "sha256:e30bdeaa5deed6bc27b4cc490823cd0347d7dae09119b8803ae576ea0ce52e4c", size = 36562980, upload-time = "2026-02-23T00:20:40.575Z" }, + { url = "https://files.pythonhosted.org/packages/70/b0/eb757336e5a76dfa7911f63252e3b7d1de00935d7705cf772db5b45ec238/scipy-1.17.1-cp313-cp313t-win_arm64.whl", hash = "sha256:a720477885a9d2411f94a93d16f9d89bad0f28ca23c3f8daa521e2dcc3f44d49", size = 24856543, upload-time = "2026-02-23T00:20:45.313Z" }, + { url = "https://files.pythonhosted.org/packages/cf/83/333afb452af6f0fd70414dc04f898647ee1423979ce02efa75c3b0f2c28e/scipy-1.17.1-cp314-cp314-macosx_10_14_x86_64.whl", hash = "sha256:a48a72c77a310327f6a3a920092fa2b8fd03d7deaa60f093038f22d98e096717", size = 31584510, upload-time = "2026-02-23T00:21:01.015Z" }, + { url = "https://files.pythonhosted.org/packages/ed/a6/d05a85fd51daeb2e4ea71d102f15b34fedca8e931af02594193ae4fd25f7/scipy-1.17.1-cp314-cp314-macosx_12_0_arm64.whl", hash = "sha256:45abad819184f07240d8a696117a7aacd39787af9e0b719d00285549ed19a1e9", size = 28170131, upload-time = "2026-02-23T00:21:05.888Z" }, + { url = "https://files.pythonhosted.org/packages/db/7b/8624a203326675d7746a254083a187398090a179335b2e4a20e2ddc46e83/scipy-1.17.1-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:3fd1fcdab3ea951b610dc4cef356d416d5802991e7e32b5254828d342f7b7e0b", size = 20342032, upload-time = "2026-02-23T00:21:09.904Z" }, + { url = "https://files.pythonhosted.org/packages/c9/35/2c342897c00775d688d8ff3987aced3426858fd89d5a0e26e020b660b301/scipy-1.17.1-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:7bdf2da170b67fdf10bca777614b1c7d96ae3ca5794fd9587dce41eb2966e866", size = 22678766, upload-time = "2026-02-23T00:21:14.313Z" }, + { url = "https://files.pythonhosted.org/packages/ef/f2/7cdb8eb308a1a6ae1e19f945913c82c23c0c442a462a46480ce487fdc0ac/scipy-1.17.1-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:adb2642e060a6549c343603a3851ba76ef0b74cc8c079a9a58121c7ec9fe2350", size = 32957007, upload-time = "2026-02-23T00:21:19.663Z" }, + { url = "https://files.pythonhosted.org/packages/0b/2e/7eea398450457ecb54e18e9d10110993fa65561c4f3add5e8eccd2b9cd41/scipy-1.17.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:eee2cfda04c00a857206a4330f0c5e3e56535494e30ca445eb19ec624ae75118", size = 35221333, upload-time = "2026-02-23T00:21:25.278Z" }, + { url = "https://files.pythonhosted.org/packages/d9/77/5b8509d03b77f093a0d52e606d3c4f79e8b06d1d38c441dacb1e26cacf46/scipy-1.17.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:d2650c1fb97e184d12d8ba010493ee7b322864f7d3d00d3f9bb97d9c21de4068", size = 35042066, upload-time = "2026-02-23T00:21:31.358Z" }, + { url = "https://files.pythonhosted.org/packages/f9/df/18f80fb99df40b4070328d5ae5c596f2f00fffb50167e31439e932f29e7d/scipy-1.17.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:08b900519463543aa604a06bec02461558a6e1cef8fdbb8098f77a48a83c8118", size = 37612763, upload-time = "2026-02-23T00:21:37.247Z" }, + { url = "https://files.pythonhosted.org/packages/4b/39/f0e8ea762a764a9dc52aa7dabcfad51a354819de1f0d4652b6a1122424d6/scipy-1.17.1-cp314-cp314-win_amd64.whl", hash = "sha256:3877ac408e14da24a6196de0ddcace62092bfc12a83823e92e49e40747e52c19", size = 37290984, upload-time = "2026-02-23T00:22:35.023Z" }, + { url = "https://files.pythonhosted.org/packages/7c/56/fe201e3b0f93d1a8bcf75d3379affd228a63d7e2d80ab45467a74b494947/scipy-1.17.1-cp314-cp314-win_arm64.whl", hash = "sha256:f8885db0bc2bffa59d5c1b72fad7a6a92d3e80e7257f967dd81abb553a90d293", size = 25192877, upload-time = "2026-02-23T00:22:39.798Z" }, + { url = "https://files.pythonhosted.org/packages/96/ad/f8c414e121f82e02d76f310f16db9899c4fcde36710329502a6b2a3c0392/scipy-1.17.1-cp314-cp314t-macosx_10_14_x86_64.whl", hash = "sha256:1cc682cea2ae55524432f3cdff9e9a3be743d52a7443d0cba9017c23c87ae2f6", size = 31949750, upload-time = "2026-02-23T00:21:42.289Z" }, + { url = "https://files.pythonhosted.org/packages/7c/b0/c741e8865d61b67c81e255f4f0a832846c064e426636cd7de84e74d209be/scipy-1.17.1-cp314-cp314t-macosx_12_0_arm64.whl", hash = "sha256:2040ad4d1795a0ae89bfc7e8429677f365d45aa9fd5e4587cf1ea737f927b4a1", size = 28585858, upload-time = "2026-02-23T00:21:47.706Z" }, + { url = "https://files.pythonhosted.org/packages/ed/1b/3985219c6177866628fa7c2595bfd23f193ceebbe472c98a08824b9466ff/scipy-1.17.1-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:131f5aaea57602008f9822e2115029b55d4b5f7c070287699fe45c661d051e39", size = 20757723, upload-time = "2026-02-23T00:21:52.039Z" }, + { url = "https://files.pythonhosted.org/packages/c0/19/2a04aa25050d656d6f7b9e7b685cc83d6957fb101665bfd9369ca6534563/scipy-1.17.1-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:9cdc1a2fcfd5c52cfb3045feb399f7b3ce822abdde3a193a6b9a60b3cb5854ca", size = 23043098, upload-time = "2026-02-23T00:21:56.185Z" }, + { url = "https://files.pythonhosted.org/packages/86/f1/3383beb9b5d0dbddd030335bf8a8b32d4317185efe495374f134d8be6cce/scipy-1.17.1-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6e3dcd57ab780c741fde8dc68619de988b966db759a3c3152e8e9142c26295ad", size = 33030397, upload-time = "2026-02-23T00:22:01.404Z" }, + { url = "https://files.pythonhosted.org/packages/41/68/8f21e8a65a5a03f25a79165ec9d2b28c00e66dc80546cf5eb803aeeff35b/scipy-1.17.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a9956e4d4f4a301ebf6cde39850333a6b6110799d470dbbb1e25326ac447f52a", size = 35281163, upload-time = "2026-02-23T00:22:07.024Z" }, + { url = "https://files.pythonhosted.org/packages/84/8d/c8a5e19479554007a5632ed7529e665c315ae7492b4f946b0deb39870e39/scipy-1.17.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:a4328d245944d09fd639771de275701ccadf5f781ba0ff092ad141e017eccda4", size = 35116291, upload-time = "2026-02-23T00:22:12.585Z" }, + { url = "https://files.pythonhosted.org/packages/52/52/e57eceff0e342a1f50e274264ed47497b59e6a4e3118808ee58ddda7b74a/scipy-1.17.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:a77cbd07b940d326d39a1d1b37817e2ee4d79cb30e7338f3d0cddffae70fcaa2", size = 37682317, upload-time = "2026-02-23T00:22:18.513Z" }, + { url = "https://files.pythonhosted.org/packages/11/2f/b29eafe4a3fbc3d6de9662b36e028d5f039e72d345e05c250e121a230dd4/scipy-1.17.1-cp314-cp314t-win_amd64.whl", hash = "sha256:eb092099205ef62cd1782b006658db09e2fed75bffcae7cc0d44052d8aa0f484", size = 37345327, upload-time = "2026-02-23T00:22:24.442Z" }, + { url = "https://files.pythonhosted.org/packages/07/39/338d9219c4e87f3e708f18857ecd24d22a0c3094752393319553096b98af/scipy-1.17.1-cp314-cp314t-win_arm64.whl", hash = "sha256:200e1050faffacc162be6a486a984a0497866ec54149a01270adc8a59b7c7d21", size = 25489165, upload-time = "2026-02-23T00:22:29.563Z" }, ] [[package]] @@ -4623,10 +3771,8 @@ version = "0.13.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "matplotlib" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "pandas" }, ] sdist = { url = "https://files.pythonhosted.org/packages/86/59/a451d7420a77ab0b98f7affa3a1d78a313d2f7281a57afb1a34bae8ab412/seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7", size = 1457696, upload-time = "2024-01-25T13:21:52.551Z" } wheels = [ @@ -4712,8 +3858,7 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "colorama" }, { name = "h5py" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "pip" }, { name = "setuptools" }, { name = "termcolor" }, @@ -4764,23 +3909,14 @@ name = "statsmodels" version = "0.14.6" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, { name = "packaging" }, - { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "pandas" }, { name = "patsy" }, - { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "scipy", version = "1.16.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "scipy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0d/81/e8d74b34f85285f7335d30c5e3c2d7c0346997af9f3debf9a0a9a63de184/statsmodels-0.14.6.tar.gz", hash = "sha256:4d17873d3e607d398b85126cd4ed7aad89e4e9d89fc744cdab1af3189a996c2a", size = 20689085, upload-time = "2025-12-05T23:08:39.522Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/b5/6d/9ec309a175956f88eb8420ac564297f37cf9b1f73f89db74da861052dc29/statsmodels-0.14.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f4ff0649a2df674c7ffb6fa1a06bffdb82a6adf09a48e90e000a15a6aaa734b0", size = 10142419, upload-time = "2025-12-05T19:27:35.625Z" }, - { url = "https://files.pythonhosted.org/packages/86/8f/338c5568315ec5bf3ac7cd4b71e34b98cb3b0f834919c0c04a0762f878a1/statsmodels-0.14.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:109012088b3e370080846ab053c76d125268631410142daad2f8c10770e8e8d9", size = 10022819, upload-time = "2025-12-05T19:27:49.385Z" }, - { url = "https://files.pythonhosted.org/packages/b0/77/5fc4cbc2d608f9b483b0675f82704a8bcd672962c379fe4d82100d388dbf/statsmodels-0.14.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e93bd5d220f3cb6fc5fc1bffd5b094966cab8ee99f6c57c02e95710513d6ac3f", size = 10118927, upload-time = "2025-12-05T23:07:51.256Z" }, - { url = "https://files.pythonhosted.org/packages/94/55/b86c861c32186403fe121d9ab27bc16d05839b170d92a978beb33abb995e/statsmodels-0.14.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:06eec42d682fdb09fe5d70a05930857efb141754ec5a5056a03304c1b5e32fd9", size = 10413015, upload-time = "2025-12-05T23:08:53.95Z" }, - { url = "https://files.pythonhosted.org/packages/f9/be/daf0dba729ccdc4176605f4a0fd5cfe71cdda671749dca10e74a732b8b1c/statsmodels-0.14.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0444e88557df735eda7db330806fe09d51c9f888bb1f5906cb3a61fb1a3ed4a8", size = 10441248, upload-time = "2025-12-05T23:09:09.353Z" }, - { url = "https://files.pythonhosted.org/packages/9a/1c/2e10b7c7cc44fa418272996bf0427b8016718fd62f995d9c1f7ab37adf35/statsmodels-0.14.6-cp310-cp310-win_amd64.whl", hash = "sha256:e83a9abe653835da3b37fb6ae04b45480c1de11b3134bd40b09717192a1456ea", size = 9583410, upload-time = "2025-12-05T19:28:02.086Z" }, { url = "https://files.pythonhosted.org/packages/a9/4d/df4dd089b406accfc3bb5ee53ba29bb3bdf5ae61643f86f8f604baa57656/statsmodels-0.14.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ad5c2810fc6c684254a7792bf1cbaf1606cdee2a253f8bd259c43135d87cfb4", size = 10121514, upload-time = "2025-12-05T19:28:16.521Z" }, { url = "https://files.pythonhosted.org/packages/82/af/ec48daa7f861f993b91a0dcc791d66e1cf56510a235c5cbd2ab991a31d5c/statsmodels-0.14.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:341fa68a7403e10a95c7b6e41134b0da3a7b835ecff1eb266294408535a06eb6", size = 10003346, upload-time = "2025-12-05T19:28:29.568Z" }, { url = "https://files.pythonhosted.org/packages/a9/2c/c8f7aa24cd729970728f3f98822fb45149adc216f445a9301e441f7ac760/statsmodels-0.14.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf1dfe2a3ca56f5529118baf33a13efed2783c528f4a36409b46bbd2d9d48eb", size = 10129872, upload-time = "2025-12-05T23:09:25.724Z" }, @@ -4860,42 +3996,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638, upload-time = "2025-03-13T13:49:21.846Z" }, ] -[[package]] -name = "tifffile" -version = "2025.5.10" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/44/d0/18fed0fc0916578a4463f775b0fbd9c5fed2392152d039df2fb533bfdd5d/tifffile-2025.5.10.tar.gz", hash = "sha256:018335d34283aa3fd8c263bae5c3c2b661ebc45548fde31504016fcae7bf1103", size = 365290, upload-time = "2025-05-10T19:22:34.386Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5d/06/bd0a6097da704a7a7c34a94cfd771c3ea3c2f405dd214e790d22c93f6be1/tifffile-2025.5.10-py3-none-any.whl", hash = "sha256:e37147123c0542d67bc37ba5cdd67e12ea6fbe6e86c52bee037a9eb6a064e5ad", size = 226533, upload-time = "2025-05-10T19:22:27.279Z" }, -] - [[package]] name = "tifffile" version = "2026.3.3" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c5/cb/2f6d79c7576e22c116352a801f4c3c8ace5957e9aced862012430b62e14f/tifffile-2026.3.3.tar.gz", hash = "sha256:d9a1266bed6f2ee1dd0abde2018a38b4f8b2935cb843df381d70ac4eac5458b7", size = 388745, upload-time = "2026-03-03T19:14:38.134Z" } wheels = [ @@ -4914,60 +4020,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289", size = 26610, upload-time = "2024-10-24T14:58:28.029Z" }, ] -[[package]] -name = "tomli" -version = "2.4.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/82/30/31573e9457673ab10aa432461bee537ce6cef177667deca369efb79df071/tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c", size = 17477, upload-time = "2026-01-11T11:22:38.165Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3c/d9/3dc2289e1f3b32eb19b9785b6a006b28ee99acb37d1d47f78d4c10e28bf8/tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867", size = 153663, upload-time = "2026-01-11T11:21:45.27Z" }, - { url = "https://files.pythonhosted.org/packages/51/32/ef9f6845e6b9ca392cd3f64f9ec185cc6f09f0a2df3db08cbe8809d1d435/tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9", size = 148469, upload-time = "2026-01-11T11:21:46.873Z" }, - { url = "https://files.pythonhosted.org/packages/d6/c2/506e44cce89a8b1b1e047d64bd495c22c9f71f21e05f380f1a950dd9c217/tomli-2.4.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:551e321c6ba03b55676970b47cb1b73f14a0a4dce6a3e1a9458fd6d921d72e95", size = 236039, upload-time = "2026-01-11T11:21:48.503Z" }, - { url = "https://files.pythonhosted.org/packages/b3/40/e1b65986dbc861b7e986e8ec394598187fa8aee85b1650b01dd925ca0be8/tomli-2.4.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5e3f639a7a8f10069d0e15408c0b96a2a828cfdec6fca05296ebcdcc28ca7c76", size = 243007, upload-time = "2026-01-11T11:21:49.456Z" }, - { url = "https://files.pythonhosted.org/packages/9c/6f/6e39ce66b58a5b7ae572a0f4352ff40c71e8573633deda43f6a379d56b3e/tomli-2.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1b168f2731796b045128c45982d3a4874057626da0e2ef1fdd722848b741361d", size = 240875, upload-time = "2026-01-11T11:21:50.755Z" }, - { url = "https://files.pythonhosted.org/packages/aa/ad/cb089cb190487caa80204d503c7fd0f4d443f90b95cf4ef5cf5aa0f439b0/tomli-2.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:133e93646ec4300d651839d382d63edff11d8978be23da4cc106f5a18b7d0576", size = 246271, upload-time = "2026-01-11T11:21:51.81Z" }, - { url = "https://files.pythonhosted.org/packages/0b/63/69125220e47fd7a3a27fd0de0c6398c89432fec41bc739823bcc66506af6/tomli-2.4.0-cp311-cp311-win32.whl", hash = "sha256:b6c78bdf37764092d369722d9946cb65b8767bfa4110f902a1b2542d8d173c8a", size = 96770, upload-time = "2026-01-11T11:21:52.647Z" }, - { url = "https://files.pythonhosted.org/packages/1e/0d/a22bb6c83f83386b0008425a6cd1fa1c14b5f3dd4bad05e98cf3dbbf4a64/tomli-2.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:d3d1654e11d724760cdb37a3d7691f0be9db5fbdaef59c9f532aabf87006dbaa", size = 107626, upload-time = "2026-01-11T11:21:53.459Z" }, - { url = "https://files.pythonhosted.org/packages/2f/6d/77be674a3485e75cacbf2ddba2b146911477bd887dda9d8c9dfb2f15e871/tomli-2.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:cae9c19ed12d4e8f3ebf46d1a75090e4c0dc16271c5bce1c833ac168f08fb614", size = 94842, upload-time = "2026-01-11T11:21:54.831Z" }, - { url = "https://files.pythonhosted.org/packages/3c/43/7389a1869f2f26dba52404e1ef13b4784b6b37dac93bac53457e3ff24ca3/tomli-2.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:920b1de295e72887bafa3ad9f7a792f811847d57ea6b1215154030cf131f16b1", size = 154894, upload-time = "2026-01-11T11:21:56.07Z" }, - { url = "https://files.pythonhosted.org/packages/e9/05/2f9bf110b5294132b2edf13fe6ca6ae456204f3d749f623307cbb7a946f2/tomli-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6d9a4aee98fac3eab4952ad1d73aee87359452d1c086b5ceb43ed02ddb16b8", size = 149053, upload-time = "2026-01-11T11:21:57.467Z" }, - { url = "https://files.pythonhosted.org/packages/e8/41/1eda3ca1abc6f6154a8db4d714a4d35c4ad90adc0bcf700657291593fbf3/tomli-2.4.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:36b9d05b51e65b254ea6c2585b59d2c4cb91c8a3d91d0ed0f17591a29aaea54a", size = 243481, upload-time = "2026-01-11T11:21:58.661Z" }, - { url = "https://files.pythonhosted.org/packages/d2/6d/02ff5ab6c8868b41e7d4b987ce2b5f6a51d3335a70aa144edd999e055a01/tomli-2.4.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1c8a885b370751837c029ef9bc014f27d80840e48bac415f3412e6593bbc18c1", size = 251720, upload-time = "2026-01-11T11:22:00.178Z" }, - { url = "https://files.pythonhosted.org/packages/7b/57/0405c59a909c45d5b6f146107c6d997825aa87568b042042f7a9c0afed34/tomli-2.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8768715ffc41f0008abe25d808c20c3d990f42b6e2e58305d5da280ae7d1fa3b", size = 247014, upload-time = "2026-01-11T11:22:01.238Z" }, - { url = "https://files.pythonhosted.org/packages/2c/0e/2e37568edd944b4165735687cbaf2fe3648129e440c26d02223672ee0630/tomli-2.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:7b438885858efd5be02a9a133caf5812b8776ee0c969fea02c45e8e3f296ba51", size = 251820, upload-time = "2026-01-11T11:22:02.727Z" }, - { url = "https://files.pythonhosted.org/packages/5a/1c/ee3b707fdac82aeeb92d1a113f803cf6d0f37bdca0849cb489553e1f417a/tomli-2.4.0-cp312-cp312-win32.whl", hash = "sha256:0408e3de5ec77cc7f81960c362543cbbd91ef883e3138e81b729fc3eea5b9729", size = 97712, upload-time = "2026-01-11T11:22:03.777Z" }, - { url = "https://files.pythonhosted.org/packages/69/13/c07a9177d0b3bab7913299b9278845fc6eaaca14a02667c6be0b0a2270c8/tomli-2.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:685306e2cc7da35be4ee914fd34ab801a6acacb061b6a7abca922aaf9ad368da", size = 108296, upload-time = "2026-01-11T11:22:04.86Z" }, - { url = "https://files.pythonhosted.org/packages/18/27/e267a60bbeeee343bcc279bb9e8fbed0cbe224bc7b2a3dc2975f22809a09/tomli-2.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:5aa48d7c2356055feef06a43611fc401a07337d5b006be13a30f6c58f869e3c3", size = 94553, upload-time = "2026-01-11T11:22:05.854Z" }, - { url = "https://files.pythonhosted.org/packages/34/91/7f65f9809f2936e1f4ce6268ae1903074563603b2a2bd969ebbda802744f/tomli-2.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:84d081fbc252d1b6a982e1870660e7330fb8f90f676f6e78b052ad4e64714bf0", size = 154915, upload-time = "2026-01-11T11:22:06.703Z" }, - { url = "https://files.pythonhosted.org/packages/20/aa/64dd73a5a849c2e8f216b755599c511badde80e91e9bc2271baa7b2cdbb1/tomli-2.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9a08144fa4cba33db5255f9b74f0b89888622109bd2776148f2597447f92a94e", size = 149038, upload-time = "2026-01-11T11:22:07.56Z" }, - { url = "https://files.pythonhosted.org/packages/9e/8a/6d38870bd3d52c8d1505ce054469a73f73a0fe62c0eaf5dddf61447e32fa/tomli-2.4.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c73add4bb52a206fd0c0723432db123c0c75c280cbd67174dd9d2db228ebb1b4", size = 242245, upload-time = "2026-01-11T11:22:08.344Z" }, - { url = "https://files.pythonhosted.org/packages/59/bb/8002fadefb64ab2669e5b977df3f5e444febea60e717e755b38bb7c41029/tomli-2.4.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1fb2945cbe303b1419e2706e711b7113da57b7db31ee378d08712d678a34e51e", size = 250335, upload-time = "2026-01-11T11:22:09.951Z" }, - { url = "https://files.pythonhosted.org/packages/a5/3d/4cdb6f791682b2ea916af2de96121b3cb1284d7c203d97d92d6003e91c8d/tomli-2.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bbb1b10aa643d973366dc2cb1ad94f99c1726a02343d43cbc011edbfac579e7c", size = 245962, upload-time = "2026-01-11T11:22:11.27Z" }, - { url = "https://files.pythonhosted.org/packages/f2/4a/5f25789f9a460bd858ba9756ff52d0830d825b458e13f754952dd15fb7bb/tomli-2.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4cbcb367d44a1f0c2be408758b43e1ffb5308abe0ea222897d6bfc8e8281ef2f", size = 250396, upload-time = "2026-01-11T11:22:12.325Z" }, - { url = "https://files.pythonhosted.org/packages/aa/2f/b73a36fea58dfa08e8b3a268750e6853a6aac2a349241a905ebd86f3047a/tomli-2.4.0-cp313-cp313-win32.whl", hash = "sha256:7d49c66a7d5e56ac959cb6fc583aff0651094ec071ba9ad43df785abc2320d86", size = 97530, upload-time = "2026-01-11T11:22:13.865Z" }, - { url = "https://files.pythonhosted.org/packages/3b/af/ca18c134b5d75de7e8dc551c5234eaba2e8e951f6b30139599b53de9c187/tomli-2.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:3cf226acb51d8f1c394c1b310e0e0e61fecdd7adcb78d01e294ac297dd2e7f87", size = 108227, upload-time = "2026-01-11T11:22:15.224Z" }, - { url = "https://files.pythonhosted.org/packages/22/c3/b386b832f209fee8073c8138ec50f27b4460db2fdae9ffe022df89a57f9b/tomli-2.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:d20b797a5c1ad80c516e41bc1fb0443ddb5006e9aaa7bda2d71978346aeb9132", size = 94748, upload-time = "2026-01-11T11:22:16.009Z" }, - { url = "https://files.pythonhosted.org/packages/f3/c4/84047a97eb1004418bc10bdbcfebda209fca6338002eba2dc27cc6d13563/tomli-2.4.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:26ab906a1eb794cd4e103691daa23d95c6919cc2fa9160000ac02370cc9dd3f6", size = 154725, upload-time = "2026-01-11T11:22:17.269Z" }, - { url = "https://files.pythonhosted.org/packages/a8/5d/d39038e646060b9d76274078cddf146ced86dc2b9e8bbf737ad5983609a0/tomli-2.4.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:20cedb4ee43278bc4f2fee6cb50daec836959aadaf948db5172e776dd3d993fc", size = 148901, upload-time = "2026-01-11T11:22:18.287Z" }, - { url = "https://files.pythonhosted.org/packages/73/e5/383be1724cb30f4ce44983d249645684a48c435e1cd4f8b5cded8a816d3c/tomli-2.4.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:39b0b5d1b6dd03684b3fb276407ebed7090bbec989fa55838c98560c01113b66", size = 243375, upload-time = "2026-01-11T11:22:19.154Z" }, - { url = "https://files.pythonhosted.org/packages/31/f0/bea80c17971c8d16d3cc109dc3585b0f2ce1036b5f4a8a183789023574f2/tomli-2.4.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a26d7ff68dfdb9f87a016ecfd1e1c2bacbe3108f4e0f8bcd2228ef9a766c787d", size = 250639, upload-time = "2026-01-11T11:22:20.168Z" }, - { url = "https://files.pythonhosted.org/packages/2c/8f/2853c36abbb7608e3f945d8a74e32ed3a74ee3a1f468f1ffc7d1cb3abba6/tomli-2.4.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:20ffd184fb1df76a66e34bd1b36b4a4641bd2b82954befa32fe8163e79f1a702", size = 246897, upload-time = "2026-01-11T11:22:21.544Z" }, - { url = "https://files.pythonhosted.org/packages/49/f0/6c05e3196ed5337b9fe7ea003e95fd3819a840b7a0f2bf5a408ef1dad8ed/tomli-2.4.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:75c2f8bbddf170e8effc98f5e9084a8751f8174ea6ccf4fca5398436e0320bc8", size = 254697, upload-time = "2026-01-11T11:22:23.058Z" }, - { url = "https://files.pythonhosted.org/packages/f3/f5/2922ef29c9f2951883525def7429967fc4d8208494e5ab524234f06b688b/tomli-2.4.0-cp314-cp314-win32.whl", hash = "sha256:31d556d079d72db7c584c0627ff3a24c5d3fb4f730221d3444f3efb1b2514776", size = 98567, upload-time = "2026-01-11T11:22:24.033Z" }, - { url = "https://files.pythonhosted.org/packages/7b/31/22b52e2e06dd2a5fdbc3ee73226d763b184ff21fc24e20316a44ccc4d96b/tomli-2.4.0-cp314-cp314-win_amd64.whl", hash = "sha256:43e685b9b2341681907759cf3a04e14d7104b3580f808cfde1dfdb60ada85475", size = 108556, upload-time = "2026-01-11T11:22:25.378Z" }, - { url = "https://files.pythonhosted.org/packages/48/3d/5058dff3255a3d01b705413f64f4306a141a8fd7a251e5a495e3f192a998/tomli-2.4.0-cp314-cp314-win_arm64.whl", hash = "sha256:3d895d56bd3f82ddd6faaff993c275efc2ff38e52322ea264122d72729dca2b2", size = 96014, upload-time = "2026-01-11T11:22:26.138Z" }, - { url = "https://files.pythonhosted.org/packages/b8/4e/75dab8586e268424202d3a1997ef6014919c941b50642a1682df43204c22/tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9", size = 163339, upload-time = "2026-01-11T11:22:27.143Z" }, - { url = "https://files.pythonhosted.org/packages/06/e3/b904d9ab1016829a776d97f163f183a48be6a4deb87304d1e0116a349519/tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0", size = 159490, upload-time = "2026-01-11T11:22:28.399Z" }, - { url = "https://files.pythonhosted.org/packages/e3/5a/fc3622c8b1ad823e8ea98a35e3c632ee316d48f66f80f9708ceb4f2a0322/tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df", size = 269398, upload-time = "2026-01-11T11:22:29.345Z" }, - { url = "https://files.pythonhosted.org/packages/fd/33/62bd6152c8bdd4c305ad9faca48f51d3acb2df1f8791b1477d46ff86e7f8/tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d", size = 276515, upload-time = "2026-01-11T11:22:30.327Z" }, - { url = "https://files.pythonhosted.org/packages/4b/ff/ae53619499f5235ee4211e62a8d7982ba9e439a0fb4f2f351a93d67c1dd2/tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f", size = 273806, upload-time = "2026-01-11T11:22:32.56Z" }, - { url = "https://files.pythonhosted.org/packages/47/71/cbca7787fa68d4d0a9f7072821980b39fbb1b6faeb5f5cf02f4a5559fa28/tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b", size = 281340, upload-time = "2026-01-11T11:22:33.505Z" }, - { url = "https://files.pythonhosted.org/packages/f5/00/d595c120963ad42474cf6ee7771ad0d0e8a49d0f01e29576ee9195d9ecdf/tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087", size = 108106, upload-time = "2026-01-11T11:22:34.451Z" }, - { url = "https://files.pythonhosted.org/packages/de/69/9aa0c6a505c2f80e519b43764f8b4ba93b5a0bbd2d9a9de6e2b24271b9a5/tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd", size = 120504, upload-time = "2026-01-11T11:22:35.764Z" }, - { url = "https://files.pythonhosted.org/packages/b3/9f/f1668c281c58cfae01482f7114a4b88d345e4c140386241a1a24dcc9e7bc/tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4", size = 99561, upload-time = "2026-01-11T11:22:36.624Z" }, - { url = "https://files.pythonhosted.org/packages/23/d1/136eb2cb77520a31e1f64cbae9d33ec6df0d78bdf4160398e86eec8a8754/tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a", size = 14477, upload-time = "2026-01-11T11:22:37.446Z" }, -] - [[package]] name = "tomlkit" version = "0.14.0" @@ -4986,8 +4038,7 @@ dependencies = [ { name = "filelock" }, { name = "fsspec" }, { name = "jinja2" }, - { name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "networkx" }, { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, @@ -5009,21 +4060,15 @@ dependencies = [ { name = "typing-extensions" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/5b/30/bfebdd8ec77db9a79775121789992d6b3b75ee5494971294d7b4b7c999bc/torch-2.10.0-2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:2b980edd8d7c0a68c4e951ee1856334a43193f98730d97408fbd148c1a933313", size = 79411457, upload-time = "2026-02-10T21:44:59.189Z" }, { url = "https://files.pythonhosted.org/packages/0f/8b/4b61d6e13f7108f36910df9ab4b58fd389cc2520d54d81b88660804aad99/torch-2.10.0-2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:418997cb02d0a0f1497cf6a09f63166f9f5df9f3e16c8a716ab76a72127c714f", size = 79423467, upload-time = "2026-02-10T21:44:48.711Z" }, { url = "https://files.pythonhosted.org/packages/d3/54/a2ba279afcca44bbd320d4e73675b282fcee3d81400ea1b53934efca6462/torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:13ec4add8c3faaed8d13e0574f5cd4a323c11655546f91fbe6afa77b57423574", size = 79498202, upload-time = "2026-02-10T21:44:52.603Z" }, { url = "https://files.pythonhosted.org/packages/ec/23/2c9fe0c9c27f7f6cb865abcea8a4568f29f00acaeadfc6a37f6801f84cb4/torch-2.10.0-2-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:e521c9f030a3774ed770a9c011751fb47c4d12029a3d6522116e48431f2ff89e", size = 79498254, upload-time = "2026-02-10T21:44:44.095Z" }, - { url = "https://files.pythonhosted.org/packages/16/ee/efbd56687be60ef9af0c9c0ebe106964c07400eade5b0af8902a1d8cd58c/torch-2.10.0-3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a1ff626b884f8c4e897c4c33782bdacdff842a165fee79817b1dd549fdda1321", size = 915510070, upload-time = "2026-03-11T14:16:39.386Z" }, { url = "https://files.pythonhosted.org/packages/36/ab/7b562f1808d3f65414cd80a4f7d4bb00979d9355616c034c171249e1a303/torch-2.10.0-3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ac5bdcbb074384c66fa160c15b1ead77839e3fe7ed117d667249afce0acabfac", size = 915518691, upload-time = "2026-03-11T14:15:43.147Z" }, { url = "https://files.pythonhosted.org/packages/b3/7a/abada41517ce0011775f0f4eacc79659bc9bc6c361e6bfe6f7052a6b9363/torch-2.10.0-3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:98c01b8bb5e3240426dcde1446eed6f40c778091c8544767ef1168fc663a05a6", size = 915622781, upload-time = "2026-03-11T14:17:11.354Z" }, { url = "https://files.pythonhosted.org/packages/ab/c6/4dfe238342ffdcec5aef1c96c457548762d33c40b45a1ab7033bb26d2ff2/torch-2.10.0-3-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:80b1b5bfe38eb0e9f5ff09f206dcac0a87aadd084230d4a36eea5ec5232c115b", size = 915627275, upload-time = "2026-03-11T14:16:11.325Z" }, { url = "https://files.pythonhosted.org/packages/d8/f0/72bf18847f58f877a6a8acf60614b14935e2f156d942483af1ffc081aea0/torch-2.10.0-3-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:46b3574d93a2a8134b3f5475cfb98e2eb46771794c57015f6ad1fb795ec25e49", size = 915523474, upload-time = "2026-03-11T14:17:44.422Z" }, { url = "https://files.pythonhosted.org/packages/f4/39/590742415c3030551944edc2ddc273ea1fdfe8ffb2780992e824f1ebee98/torch-2.10.0-3-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:b1d5e2aba4eb7f8e87fbe04f86442887f9167a35f092afe4c237dfcaaef6e328", size = 915632474, upload-time = "2026-03-11T14:15:13.666Z" }, { url = "https://files.pythonhosted.org/packages/b6/8e/34949484f764dde5b222b7fe3fede43e4a6f0da9d7f8c370bb617d629ee2/torch-2.10.0-3-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:0228d20b06701c05a8f978357f657817a4a63984b0c90745def81c18aedfa591", size = 915523882, upload-time = "2026-03-11T14:14:46.311Z" }, - { url = "https://files.pythonhosted.org/packages/0c/1a/c61f36cfd446170ec27b3a4984f072fd06dab6b5d7ce27e11adb35d6c838/torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d", size = 145992962, upload-time = "2026-01-21T16:24:14.04Z" }, - { url = "https://files.pythonhosted.org/packages/b5/60/6662535354191e2d1555296045b63e4279e5a9dbad49acf55a5d38655a39/torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:aaf663927bcd490ae971469a624c322202a2a1e68936eb952535ca4cd3b90444", size = 915599237, upload-time = "2026-01-21T16:23:25.497Z" }, - { url = "https://files.pythonhosted.org/packages/40/b8/66bbe96f0d79be2b5c697b2e0b187ed792a15c6c4b8904613454651db848/torch-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:a4be6a2a190b32ff5c8002a0977a25ea60e64f7ba46b1be37093c141d9c49aeb", size = 113720931, upload-time = "2026-01-21T16:24:23.743Z" }, - { url = "https://files.pythonhosted.org/packages/76/bb/d820f90e69cda6c8169b32a0c6a3ab7b17bf7990b8f2c680077c24a3c14c/torch-2.10.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:35e407430795c8d3edb07a1d711c41cc1f9eaddc8b2f1cc0a165a6767a8fb73d", size = 79411450, upload-time = "2026-01-21T16:25:30.692Z" }, { url = "https://files.pythonhosted.org/packages/78/89/f5554b13ebd71e05c0b002f95148033e730d3f7067f67423026cc9c69410/torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4", size = 145992610, upload-time = "2026-01-21T16:25:26.327Z" }, { url = "https://files.pythonhosted.org/packages/ae/30/a3a2120621bf9c17779b169fc17e3dc29b230c29d0f8222f499f5e159aa8/torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763", size = 915607863, upload-time = "2026-01-21T16:25:06.696Z" }, { url = "https://files.pythonhosted.org/packages/6f/3d/c87b33c5f260a2a8ad68da7147e105f05868c281c63d65ed85aa4da98c66/torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd", size = 113723116, upload-time = "2026-01-21T16:25:21.916Z" }, @@ -5093,7 +4138,6 @@ name = "triton" version = "3.6.0" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/8c/f7/f1c9d3424ab199ac53c2da567b859bcddbb9c9e7154805119f8bd95ec36f/triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea", size = 188105201, upload-time = "2026-01-20T16:00:29.272Z" }, { url = "https://files.pythonhosted.org/packages/e0/12/b05ba554d2c623bffa59922b94b0775673de251f468a9609bc9e45de95e9/triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3", size = 188214640, upload-time = "2026-01-20T16:00:35.869Z" }, { url = "https://files.pythonhosted.org/packages/ab/a8/cdf8b3e4c98132f965f88c2313a4b493266832ad47fb52f23d14d4f86bb5/triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca", size = 188266850, upload-time = "2026-01-20T16:00:43.041Z" }, { url = "https://files.pythonhosted.org/packages/f9/0b/37d991d8c130ce81a8728ae3c25b6e60935838e9be1b58791f5997b24a54/triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9", size = 188289450, upload-time = "2026-01-20T16:00:49.136Z" }, @@ -5152,9 +4196,8 @@ name = "uvicorn" version = "0.42.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "click", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, - { name = "h11", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, + { name = "click", marker = "sys_platform != 'emscripten'" }, + { name = "h11", marker = "sys_platform != 'emscripten'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/e3/ad/4a96c425be6fb67e0621e62d86c402b4a17ab2be7f7c055d9bd2f638b9e2/uvicorn-0.42.0.tar.gz", hash = "sha256:9b1f190ce15a2dd22e7758651d9b6d12df09a13d51ba5bf4fc33c383a48e1775", size = 85393, upload-time = "2026-03-16T06:19:50.077Z" } wheels = [ @@ -5167,9 +4210,6 @@ version = "6.0.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/db/7d/7f3d619e951c88ed75c6037b246ddcf2d322812ee8ea189be89511721d54/watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282", size = 131220, upload-time = "2024-11-01T14:07:13.037Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/0c/56/90994d789c61df619bfc5ce2ecdabd5eeff564e1eb47512bd01b5e019569/watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26", size = 96390, upload-time = "2024-11-01T14:06:24.793Z" }, - { url = "https://files.pythonhosted.org/packages/55/46/9a67ee697342ddf3c6daa97e3a587a56d6c4052f881ed926a849fcf7371c/watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112", size = 88389, upload-time = "2024-11-01T14:06:27.112Z" }, - { url = "https://files.pythonhosted.org/packages/44/65/91b0985747c52064d8701e1075eb96f8c40a79df889e59a399453adfb882/watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3", size = 89020, upload-time = "2024-11-01T14:06:29.876Z" }, { url = "https://files.pythonhosted.org/packages/e0/24/d9be5cd6642a6aa68352ded4b4b10fb0d7889cb7f45814fb92cecd35f101/watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c", size = 96393, upload-time = "2024-11-01T14:06:31.756Z" }, { url = "https://files.pythonhosted.org/packages/63/7a/6013b0d8dbc56adca7fdd4f0beed381c59f6752341b12fa0886fa7afc78b/watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2", size = 88392, upload-time = "2024-11-01T14:06:32.99Z" }, { url = "https://files.pythonhosted.org/packages/d1/40/b75381494851556de56281e053700e46bff5b37bf4c7267e858640af5a7f/watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c", size = 89019, upload-time = "2024-11-01T14:06:34.963Z" }, @@ -5179,8 +4219,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/68/98/b0345cabdce2041a01293ba483333582891a3bd5769b08eceb0d406056ef/watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c", size = 96480, upload-time = "2024-11-01T14:06:42.952Z" }, { url = "https://files.pythonhosted.org/packages/85/83/cdf13902c626b28eedef7ec4f10745c52aad8a8fe7eb04ed7b1f111ca20e/watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134", size = 88451, upload-time = "2024-11-01T14:06:45.084Z" }, { url = "https://files.pythonhosted.org/packages/fe/c4/225c87bae08c8b9ec99030cd48ae9c4eca050a59bf5c2255853e18c87b50/watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b", size = 89057, upload-time = "2024-11-01T14:06:47.324Z" }, - { url = "https://files.pythonhosted.org/packages/30/ad/d17b5d42e28a8b91f8ed01cb949da092827afb9995d4559fd448d0472763/watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881", size = 87902, upload-time = "2024-11-01T14:06:53.119Z" }, - { url = "https://files.pythonhosted.org/packages/5c/ca/c3649991d140ff6ab67bfc85ab42b165ead119c9e12211e08089d763ece5/watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11", size = 88380, upload-time = "2024-11-01T14:06:55.19Z" }, { url = "https://files.pythonhosted.org/packages/a9/c7/ca4bf3e518cb57a686b2feb4f55a1892fd9a3dd13f470fca14e00f80ea36/watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13", size = 79079, upload-time = "2024-11-01T14:06:59.472Z" }, { url = "https://files.pythonhosted.org/packages/5c/51/d46dc9332f9a647593c947b4b88e2381c8dfc0942d15b8edc0310fa4abb1/watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379", size = 79078, upload-time = "2024-11-01T14:07:01.431Z" }, { url = "https://files.pythonhosted.org/packages/d4/57/04edbf5e169cd318d5f07b4766fee38e825d64b6913ca157ca32d1a42267/watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e", size = 79076, upload-time = "2024-11-01T14:07:02.568Z" }, @@ -5198,22 +4236,10 @@ name = "watchfiles" version = "1.1.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" }, + { name = "anyio", marker = "sys_platform != 'emscripten'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c2/c9/8869df9b2a2d6c59d79220a4db37679e74f807c559ffe5265e08b227a210/watchfiles-1.1.1.tar.gz", hash = "sha256:a173cb5c16c4f40ab19cecf48a534c409f7ea983ab8fed0741304a1c0a31b3f2", size = 94440, upload-time = "2025-10-14T15:06:21.08Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/a7/1a/206e8cf2dd86fddf939165a57b4df61607a1e0add2785f170a3f616b7d9f/watchfiles-1.1.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:eef58232d32daf2ac67f42dea51a2c80f0d03379075d44a587051e63cc2e368c", size = 407318, upload-time = "2025-10-14T15:04:18.753Z" }, - { url = "https://files.pythonhosted.org/packages/b3/0f/abaf5262b9c496b5dad4ed3c0e799cbecb1f8ea512ecb6ddd46646a9fca3/watchfiles-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03fa0f5237118a0c5e496185cafa92878568b652a2e9a9382a5151b1a0380a43", size = 394478, upload-time = "2025-10-14T15:04:20.297Z" }, - { url = "https://files.pythonhosted.org/packages/b1/04/9cc0ba88697b34b755371f5ace8d3a4d9a15719c07bdc7bd13d7d8c6a341/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca65483439f9c791897f7db49202301deb6e15fe9f8fe2fed555bf986d10c31", size = 449894, upload-time = "2025-10-14T15:04:21.527Z" }, - { url = "https://files.pythonhosted.org/packages/d2/9c/eda4615863cd8621e89aed4df680d8c3ec3da6a4cf1da113c17decd87c7f/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f0ab1c1af0cb38e3f598244c17919fb1a84d1629cc08355b0074b6d7f53138ac", size = 459065, upload-time = "2025-10-14T15:04:22.795Z" }, - { url = "https://files.pythonhosted.org/packages/84/13/f28b3f340157d03cbc8197629bc109d1098764abe1e60874622a0be5c112/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3bc570d6c01c206c46deb6e935a260be44f186a2f05179f52f7fcd2be086a94d", size = 488377, upload-time = "2025-10-14T15:04:24.138Z" }, - { url = "https://files.pythonhosted.org/packages/86/93/cfa597fa9389e122488f7ffdbd6db505b3b915ca7435ecd7542e855898c2/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e84087b432b6ac94778de547e08611266f1f8ffad28c0ee4c82e028b0fc5966d", size = 595837, upload-time = "2025-10-14T15:04:25.057Z" }, - { url = "https://files.pythonhosted.org/packages/57/1e/68c1ed5652b48d89fc24d6af905d88ee4f82fa8bc491e2666004e307ded1/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:620bae625f4cb18427b1bb1a2d9426dc0dd5a5ba74c7c2cdb9de405f7b129863", size = 473456, upload-time = "2025-10-14T15:04:26.497Z" }, - { url = "https://files.pythonhosted.org/packages/d5/dc/1a680b7458ffa3b14bb64878112aefc8f2e4f73c5af763cbf0bd43100658/watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:544364b2b51a9b0c7000a4b4b02f90e9423d97fbbf7e06689236443ebcad81ab", size = 455614, upload-time = "2025-10-14T15:04:27.539Z" }, - { url = "https://files.pythonhosted.org/packages/61/a5/3d782a666512e01eaa6541a72ebac1d3aae191ff4a31274a66b8dd85760c/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bbe1ef33d45bc71cf21364df962af171f96ecaeca06bd9e3d0b583efb12aec82", size = 630690, upload-time = "2025-10-14T15:04:28.495Z" }, - { url = "https://files.pythonhosted.org/packages/9b/73/bb5f38590e34687b2a9c47a244aa4dd50c56a825969c92c9c5fc7387cea1/watchfiles-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a0bb430adb19ef49389e1ad368450193a90038b5b752f4ac089ec6942c4dff4", size = 622459, upload-time = "2025-10-14T15:04:29.491Z" }, - { url = "https://files.pythonhosted.org/packages/f1/ac/c9bb0ec696e07a20bd58af5399aeadaef195fb2c73d26baf55180fe4a942/watchfiles-1.1.1-cp310-cp310-win32.whl", hash = "sha256:3f6d37644155fb5beca5378feb8c1708d5783145f2a0f1c4d5a061a210254844", size = 272663, upload-time = "2025-10-14T15:04:30.435Z" }, - { url = "https://files.pythonhosted.org/packages/11/a0/a60c5a7c2ec59fa062d9a9c61d02e3b6abd94d32aac2d8344c4bdd033326/watchfiles-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:a36d8efe0f290835fd0f33da35042a1bb5dc0e83cbc092dcf69bce442579e88e", size = 287453, upload-time = "2025-10-14T15:04:31.53Z" }, { url = "https://files.pythonhosted.org/packages/1f/f8/2c5f479fb531ce2f0564eda479faecf253d886b1ab3630a39b7bf7362d46/watchfiles-1.1.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f57b396167a2565a4e8b5e56a5a1c537571733992b226f4f1197d79e94cf0ae5", size = 406529, upload-time = "2025-10-14T15:04:32.899Z" }, { url = "https://files.pythonhosted.org/packages/fe/cd/f515660b1f32f65df671ddf6f85bfaca621aee177712874dc30a97397977/watchfiles-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:421e29339983e1bebc281fab40d812742268ad057db4aee8c4d2bce0af43b741", size = 394384, upload-time = "2025-10-14T15:04:33.761Z" }, { url = "https://files.pythonhosted.org/packages/7b/c3/28b7dc99733eab43fca2d10f55c86e03bd6ab11ca31b802abac26b23d161/watchfiles-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e43d39a741e972bab5d8100b5cdacf69db64e34eb19b6e9af162bccf63c5cc6", size = 448789, upload-time = "2025-10-14T15:04:34.679Z" }, @@ -5286,10 +4312,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4f/55/2af26693fd15165c4ff7857e38330e1b61ab8c37d15dc79118cdba115b7a/watchfiles-1.1.1-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c91ed27800188c2ae96d16e3149f199d62f86c7af5f5f4d2c61a3ed8cd3666c", size = 455072, upload-time = "2025-10-14T15:05:48.928Z" }, { url = "https://files.pythonhosted.org/packages/66/1d/d0d200b10c9311ec25d2273f8aad8c3ef7cc7ea11808022501811208a750/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:311ff15a0bae3714ffb603e6ba6dbfba4065ab60865d15a6ec544133bdb21099", size = 629104, upload-time = "2025-10-14T15:05:49.908Z" }, { url = "https://files.pythonhosted.org/packages/e3/bd/fa9bb053192491b3867ba07d2343d9f2252e00811567d30ae8d0f78136fe/watchfiles-1.1.1-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a916a2932da8f8ab582f242c065f5c81bed3462849ca79ee357dd9551b0e9b01", size = 622112, upload-time = "2025-10-14T15:05:50.941Z" }, - { url = "https://files.pythonhosted.org/packages/ba/4c/a888c91e2e326872fa4705095d64acd8aa2fb9c1f7b9bd0588f33850516c/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:17ef139237dfced9da49fb7f2232c86ca9421f666d78c264c7ffca6601d154c3", size = 409611, upload-time = "2025-10-14T15:06:05.809Z" }, - { url = "https://files.pythonhosted.org/packages/1e/c7/5420d1943c8e3ce1a21c0a9330bcf7edafb6aa65d26b21dbb3267c9e8112/watchfiles-1.1.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:672b8adf25b1a0d35c96b5888b7b18699d27d4194bac8beeae75be4b7a3fc9b2", size = 396889, upload-time = "2025-10-14T15:06:07.035Z" }, - { url = "https://files.pythonhosted.org/packages/0c/e5/0072cef3804ce8d3aaddbfe7788aadff6b3d3f98a286fdbee9fd74ca59a7/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77a13aea58bc2b90173bc69f2a90de8e282648939a00a602e1dc4ee23e26b66d", size = 451616, upload-time = "2025-10-14T15:06:08.072Z" }, - { url = "https://files.pythonhosted.org/packages/83/4e/b87b71cbdfad81ad7e83358b3e447fedd281b880a03d64a760fe0a11fc2e/watchfiles-1.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b495de0bb386df6a12b18335a0285dda90260f51bdb505503c02bcd1ce27a8b", size = 458413, upload-time = "2025-10-14T15:06:09.209Z" }, { url = "https://files.pythonhosted.org/packages/d3/8e/e500f8b0b77be4ff753ac94dc06b33d8f0d839377fee1b78e8c8d8f031bf/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:db476ab59b6765134de1d4fe96a1a9c96ddf091683599be0f26147ea1b2e4b88", size = 408250, upload-time = "2025-10-14T15:06:10.264Z" }, { url = "https://files.pythonhosted.org/packages/bd/95/615e72cd27b85b61eec764a5ca51bd94d40b5adea5ff47567d9ebc4d275a/watchfiles-1.1.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89eef07eee5e9d1fda06e38822ad167a044153457e6fd997f8a858ab7564a336", size = 396117, upload-time = "2025-10-14T15:06:11.28Z" }, { url = "https://files.pythonhosted.org/packages/c9/81/e7fe958ce8a7fb5c73cc9fb07f5aeaf755e6aa72498c57d760af760c91f8/watchfiles-1.1.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce19e06cbda693e9e7686358af9cd6f5d61312ab8b00488bc36f5aabbaf77e24", size = 450493, upload-time = "2025-10-14T15:06:12.321Z" }, @@ -5350,15 +4372,6 @@ version = "16.0" source = { registry = "https://pypi.org/simple" } sdist = { url = "https://files.pythonhosted.org/packages/04/24/4b2031d72e840ce4c1ccb255f693b15c334757fc50023e4db9537080b8c4/websockets-16.0.tar.gz", hash = "sha256:5f6261a5e56e8d5c42a4497b364ea24d94d9563e8fbd44e78ac40879c60179b5", size = 179346, upload-time = "2026-01-10T09:23:47.181Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/20/74/221f58decd852f4b59cc3354cccaf87e8ef695fede361d03dc9a7396573b/websockets-16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04cdd5d2d1dacbad0a7bf36ccbcd3ccd5a30ee188f2560b7a62a30d14107b31a", size = 177343, upload-time = "2026-01-10T09:22:21.28Z" }, - { url = "https://files.pythonhosted.org/packages/19/0f/22ef6107ee52ab7f0b710d55d36f5a5d3ef19e8a205541a6d7ffa7994e5a/websockets-16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8ff32bb86522a9e5e31439a58addbb0166f0204d64066fb955265c4e214160f0", size = 175021, upload-time = "2026-01-10T09:22:22.696Z" }, - { url = "https://files.pythonhosted.org/packages/10/40/904a4cb30d9b61c0e278899bf36342e9b0208eb3c470324a9ecbaac2a30f/websockets-16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:583b7c42688636f930688d712885cf1531326ee05effd982028212ccc13e5957", size = 175320, upload-time = "2026-01-10T09:22:23.94Z" }, - { url = "https://files.pythonhosted.org/packages/9d/2f/4b3ca7e106bc608744b1cdae041e005e446124bebb037b18799c2d356864/websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:7d837379b647c0c4c2355c2499723f82f1635fd2c26510e1f587d89bc2199e72", size = 183815, upload-time = "2026-01-10T09:22:25.469Z" }, - { url = "https://files.pythonhosted.org/packages/86/26/d40eaa2a46d4302becec8d15b0fc5e45bdde05191e7628405a19cf491ccd/websockets-16.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df57afc692e517a85e65b72e165356ed1df12386ecb879ad5693be08fac65dde", size = 185054, upload-time = "2026-01-10T09:22:27.101Z" }, - { url = "https://files.pythonhosted.org/packages/b0/ba/6500a0efc94f7373ee8fefa8c271acdfd4dca8bd49a90d4be7ccabfc397e/websockets-16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2b9f1e0d69bc60a4a87349d50c09a037a2607918746f07de04df9e43252c77a3", size = 184565, upload-time = "2026-01-10T09:22:28.293Z" }, - { url = "https://files.pythonhosted.org/packages/04/b4/96bf2cee7c8d8102389374a2616200574f5f01128d1082f44102140344cc/websockets-16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:335c23addf3d5e6a8633f9f8eda77efad001671e80b95c491dd0924587ece0b3", size = 183848, upload-time = "2026-01-10T09:22:30.394Z" }, - { url = "https://files.pythonhosted.org/packages/02/8e/81f40fb00fd125357814e8c3025738fc4ffc3da4b6b4a4472a82ba304b41/websockets-16.0-cp310-cp310-win32.whl", hash = "sha256:37b31c1623c6605e4c00d466c9d633f9b812ea430c11c8a278774a1fde1acfa9", size = 178249, upload-time = "2026-01-10T09:22:32.083Z" }, - { url = "https://files.pythonhosted.org/packages/b4/5f/7e40efe8df57db9b91c88a43690ac66f7b7aa73a11aa6a66b927e44f26fa/websockets-16.0-cp310-cp310-win_amd64.whl", hash = "sha256:8e1dab317b6e77424356e11e99a432b7cb2f3ec8c5ab4dabbcee6add48f72b35", size = 178685, upload-time = "2026-01-10T09:22:33.345Z" }, { url = "https://files.pythonhosted.org/packages/f2/db/de907251b4ff46ae804ad0409809504153b3f30984daf82a1d84a9875830/websockets-16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:31a52addea25187bde0797a97d6fc3d2f92b6f72a9370792d65a6e84615ac8a8", size = 177340, upload-time = "2026-01-10T09:22:34.539Z" }, { url = "https://files.pythonhosted.org/packages/f3/fa/abe89019d8d8815c8781e90d697dec52523fb8ebe308bf11664e8de1877e/websockets-16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:417b28978cdccab24f46400586d128366313e8a96312e4b9362a4af504f3bbad", size = 175022, upload-time = "2026-01-10T09:22:36.332Z" }, { url = "https://files.pythonhosted.org/packages/58/5d/88ea17ed1ded2079358b40d31d48abe90a73c9e5819dbcde1606e991e2ad/websockets-16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af80d74d4edfa3cb9ed973a0a5ba2b2a549371f8a741e0800cb07becdd20f23d", size = 175319, upload-time = "2026-01-10T09:22:37.602Z" }, @@ -5421,46 +4434,14 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3f/0e/fa3b193432cfc60c93b42f3be03365f5f909d2b3ea410295cf36df739e31/widgetsnbextension-4.0.15-py3-none-any.whl", hash = "sha256:8156704e4346a571d9ce73b84bee86a29906c9abfd7223b7228a28899ccf3366", size = 2196503, upload-time = "2025-11-01T21:15:53.565Z" }, ] -[[package]] -name = "xarray" -version = "2025.6.1" -source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version < '3.11' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "(python_full_version < '3.11' and platform_machine != 'ARM64') or (python_full_version < '3.11' and sys_platform != 'win32')", -] -dependencies = [ - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "packaging", marker = "python_full_version < '3.11'" }, - { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/19/ec/e50d833518f10b0c24feb184b209bb6856f25b919ba8c1f89678b930b1cd/xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0", size = 3003185, upload-time = "2025-06-12T03:04:09.099Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/82/8a/6b50c1dd2260d407c1a499d47cf829f59f07007e0dcebafdabb24d1d26a5/xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b", size = 1314739, upload-time = "2025-06-12T03:04:06.708Z" }, -] - [[package]] name = "xarray" version = "2026.2.0" source = { registry = "https://pypi.org/simple" } -resolution-markers = [ - "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine != 'ARM64' and sys_platform == 'win32'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version == '3.11.*' and sys_platform == 'emscripten'", - "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", -] dependencies = [ - { name = "numpy", version = "2.4.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, - { name = "packaging", marker = "python_full_version >= '3.11'" }, - { name = "pandas", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy" }, + { name = "packaging" }, + { name = "pandas" }, ] sdist = { url = "https://files.pythonhosted.org/packages/0f/03/e3353b72e518574b32993989d8f696277bf878e9d508c7dd22e86c0dab5b/xarray-2026.2.0.tar.gz", hash = "sha256:978b6acb018770554f8fd964af4eb02f9bcc165d4085dbb7326190d92aa74bcf", size = 3111388, upload-time = "2026-02-13T22:20:50.18Z" } wheels = [

@$+Q=0Al&4?*DSnD?chpmUzVJ=6CNBVSqh z(yYGlZOdK_{uri5y!OWY!U9oU@L@1be}KOK4szI#4hiDt?sgiqo=J;3i}eey?d`UO~%`}+ckYhKP}fHTIy=wurL zttY-)|7^`cLf>Z$_V0L(Wv|gUMfW)43yrfZ$Q~-y_c13kk9{Zfr?xoNP7FjZIC!1q z>wCz)KFKbY8liaWw_l($axp|ymhQuBlZb02dcv1`ty%Y@v!5gqD60*Y951K&hU7Tn zwXHMeWZ@py&M}yBxdr}y$>CoQCV8Kl{B&<^4L%HW_s8Ns#{GNmYs(y59)5n|tU5Z# zJW|;z=IWF%S}US^6Z*vawK60_y6-xb{c>i%swrG_}`Dgpb z%Aa>}SBCllzl+lRe~2%+GYGwUDK`qw3)dwEL*F0NnLmL7V>j+`|1GhSdHrO?bOM#m zd}bJOb3A{6cO$uf)}xb8DN#$NgROQY1^d91T1%r6HSAQ=#@{HT_WwCwMu+u};#hq+Mx?dHx2viEcWPf2=&ABPd@2sf08 zB+XM|-j{v-R_yChGn?KdMt!aiP4oa*jI!0P0>#(<%8d^uXEz1Q_r^5mYA20^NCf8|CK8g8%Cq)Hsc zvXC|y{#t&HuV8*z%*Da?4CbhRT2e>$fnR!;>I5sGS90OlIqb(Im+eG{fhU_E46Yx1 zqANybliht!KX3SxIo8(@&kI^hzaBI!Mg6763e}%{ZL<0$=0=b|iX-gWVn2eu<3#W+ z<#YeagFd5X=2X{MO6OlV?o~-F@5X15J+_M5+b0oUhnqm(mtKl@;E%Q7MjXuh7)uMk zi_^X4ROFEb0GVs}!I-oLJSFkHK%eHdde61UBeRdAyP5XnEOgbqMjdPQcVWNq1+|KI z+@Qbk@2>-RN_<~$7pukf`Vl3;YIm4A7bQfG0#!EPZ+lKYb<_Q6!v#;E2 z(*DEiV@Wt-*hfz0y~$S0`y8m4?n}MEpIVE)q}@lyEa>)KxbB;l^3xooxx3=IOW4>q@~{kDYLm0NZvOJWY!v1TcfgA6@wPrkUV%s3S# zzRFsUVhGf~#WnliG$fvdeb^S>A0S^@@C=LOHVJf*gMzcesW*e2hB=ZsgB5K;l-o2c zLH314L9*sz;O7@^?QEj<3~&RtOy+p-#{Wx)QM5OBeQb|`UMcxe-z$dn|ADV0JZ$7E zYp_sX*_)m)eyd7}A-;kj7Xr4y>Wl~aD_fyyva5;8vrzEKj_~PD-HiR?@jn5=*@iyx z(+t$l5nU(0Qy9S}KXJr=?#feq0{%U47+=<=DnAhOel1+^euLleq94dhGrZ&+8uD+d z-VeLO55oZ$XE%BX4B!mgIBLQLCRveWdl&|$ipcBY*ZyNvkui*Mrv-I%pBV)|J%7%H z-gF;wjSF}eJT{gC4_5XV|JcYJVzV$?=h-(ncNo~`nM#oNJJ$OyMSZV_i;R~z){4L} zjoFS1*!c*GVBoSl^h)#rPnie5C3BjGq0fSA)Y1RKIp8|bGkCw%Z4vfkyeM{0qMcps`UxvUl1JW0)H?+$D`lm7<|u~c^l6U3qH2+*RH{$!p5H% zoBhfGeBXWLYt}yPO4tTq^#=YJYJwW!{wF$iqJ#R@$3zltE%S^8(R3I%&J_!87`#Vn zvL!-uZOumz%RTNDvq*ZAGobVHx^@x#=Fk_yE}A5_xvXxe@VY3xd6bHCI0jq_g;WE z{uSf9oGmE;bvH9Gzc})u?~A?m)xM0MX&uo5od)(~(vQx`)L4!nmui!QW?& z6fAsf1R_S!MuMN{KuzB0eb#k3e-Nhs@IJeHr!)BCOSc54`NK`GWZ#XB5>BE zP<{P%ERo{{wqY&`1pi{3064T9SHIODjh2FARR(^39*?p{x)EdX-}H~855RAJK8rpE z%){OK;2Z&_?fWA|hV+2A*eIWNK6>ndN&UK+4;c@xZ~Ctre4F5Y|9TI8nA+HY7TSo8 zd*DE}_VKwo%UVG zJ>jcl584kK+LI}<>Nf!IUUYxV-^^c#k4YlNQ4YF|9&O(9`zI-1q_H`j!E3tNn>gY+ zofPbK`SV$MG}pkf8~zV?O2S#`8$!aKlX4L42Ht{k2yG`!UJ?*;&dz*RVDz)Se52j@#4JKEHVGyb&dw zg|A=45ZcgTl)7oioc0L*WbTpa<1c%SvbG7zr^`fdD%*a^kwTAjc>5aX3sS~UM!-KN zK78aW<@bR8O4(Dz5RJxOHL^xH4M6N5HPnn4Z`-e7jO1Xyeri&lPJ=6kd_Rj#$_2WC z{uj>oV198D;QBjb-xe5eZ#fg=YYOXINPe_T1(WvRfd|Wv=K=QsT7O~UY=6uzK5VpZ znq!F1{$r?e{L%BmoQq1wCaGVqCH!OTw?$vlHc$`?G4Bfp1M|xi=3<{q6`gN-P3Vl{+%7*bv|R7#rzD{tNm(V?mZe-(SEzB%^|~ z_xG`r&du15Nq%@uHZcXF!)x@yfcsl9B2{wymwrr9?(rXmhWH3;q$|(rdW7!pJxy}% z&6<%&tB$5kH1qTjK738^E)L;!<8@Jc!Sj(9V@^i}^d+%RbK1A)2?8!}7w%)gi8tDG zupAwowqf{y>^Ne4X2tLSr;C@~$9~Ert|eV}HkeLzha*1S@BfH;&$z74<@+1NhGN75 zSYnNx1Gb1tagPnVp$Z}>9TcRufZ$EDCDz1lVu>ZzsIhmW#uj@46$^?c8Z{afyZNt~ z;rBegI{BP)4CUVYx@Oi|-zEFI8kk2J_q@Z~U3@TI&ebQz73KKhJC~-2YnW>LDjkgjs=YP`Oqs7dpX!5-*-!m_!;qgN zo)_^cqj!yc_>Nzs5OAFz#^LMW{K&0t&idR{ujpq(Uy?IyQeDoa6SnNDpL~cSww?MW zk?ODwqlJfWyAS>`*jiR%KgNFWRWD5XdFpY+VD4bjM{sjSPU>;>V=zgc2>HsMT;zm2 zGRyL&mTt6GE_T($m;cThy;F$6tbFL8xx25B%Z$bbJU2x0q`O}i8`7g?5k;WA zWX|n3L!TwH;~q@P6f9nBhL+OD;Q^rG4V{LTMT2FKbowS-elA z4LtuN@5H$s`)7IDNAoN4$ZS8DZ7X`?<)O%r^B!`mFEuOt+jAHE$-*aC=0d-6{b3CB zeVp61O@%a_IW;F-q(5$C|11(rNqUBI;`)>s%nS9m%OSQGO*s=o_P`N23`9P4)u8s# znW@BIcDRctz0O3z$6)Z3m`An?J}}NFWFt?{x>GOsVUYiOJr%hR{2H^((ljqrVnK8H zU|)=WXvCJ{@O(%w->4!(bQSzP!bx}seVY4gR)L?)&nNC<`%sTCdxksl+V87d^+|Me z%r7#pjdId{NViz>Ndb|qX}st=7tBfw>3ax?q3+C=KIy0ah6nld#d1t?Hqb3uCkVzo z$^+_8$T@WbU<~uVJ(efS{`aSgGMjU)DHDt|L zYOVRORyouLv7{Y2Ug`&cZo;zhyOqcz^P;smco*2-l-p%cH!k4X>PTG}G;<(M^s0Ht zBm0Pv;HDvS;)`VBT2cQ#LFC0n@;F~y85D)DLvpBY&NPC1z-ojO+#PLxb4wAQZ!_@6 zE;c!Owm$SqS1uOICgnl5iYAW#&HC4zR&Z}tH|V1!?iO!8nN+{rec8ytI-vmb3uEN| zgx^xu#;<%RkbNvAMTeo+O=4bC6-Sb~_>sXRy*R5v=sD_? zKQt&ZGWlMQ{TTaO_G3<9S`N#y-m{mYNC(+{kX5mJn+9z z<@N-tVhD;_xR6 z|7K@}z8`8wi(sqTF}+azt?*&8j#35l3-bcw^WldPgFu<+NCP|Mkkl66jH#F#O~iik z)ss_|Q`*;)#^V}!e|Vz){tlrZ0Q31LoG;%23lrQgP5i^zi@-&}&uxx%n(!LG=~9_i zW8u?kN0RnaU{ApHM{iaY8J~@c32vRu<2&1^ zezu}O=bCgU)rtHuzcBw|BKTvVj-DM}Vl?5x&?zzW<&a93FW2>_Pmrx_tHalfV>lam zWbvitLVxD|+k<#s_`Lrof|fMCRBy!TJmmm@H!fU=)d6xZ7#LKb9Fq0X!aptmZ(X^q zrH1&izNjNS?`@-Ulq0d;OZwpNeHWy@jdS+I^24?WD`L!UTkI!~@IAXyNA0hIKVdKD zDLy68Htz2oeA8eq;>^Y=G#DTEGsvCw;Dz#VJTGi#S&N=w&L@m>)}FBr;i~rprU<9I z3iz3v`?6^OKLT^67LfEN`wodFuJilhp}FoQ{NRT{9^zk{ToY^$05FJ-1`1>PO`+bZcw9+}AN#v<52@=nHR55z!!+6km!S62%ZW_YhgCAM^K68R(@7^dnMe}s0;ghz<0AzBeLcaL) z4yR2W>t6piIfX!v$(am(=J)TLOsmu>TKg0?Q-vQ6oD9+ZDvAH~O>6>r!S8XlMXu_I zQ?D4zeLd3}ei(kQIfl?Q$VAheeU)PX-i2`Yf{}mW;O=BgxnGz&fFH~cjFqGIKH|PB z`@s1jbOhto>Xz4xnrtA!K3RO+*e7G_uw@1MEI60F&M8Z|qE~RfAZ8JWd3PNfBBOn% zE!Ls4puf~*9#4}{i zT4zqT5pO^Iz@1v~7aC+Ey_()QUt|uP;zTFY4lHeidn;6^po5X|>XWTsV*GU&0i(ni znu{92{*U}*ZbA$hPLdNs zzLM(_Ya=gqSo)qX>HZ7)i}Z`U3)X%2F(36QEi5-)AjLYSwi}trA4}o>`eA-qgBoGa zyACARFL(I!*iVxcLWiWEqsX|1pYO0Ik;=2hoWk>ClM9)mUw;L?687Ca`+tLu$^6yp z7`Sk~Kkniqd87|Ge-<$B>$6bpHM1H>z)K7r1wa3xxlo)Fa4%<{Gx|vf%Obwa@IgJ* z(L=VfSA5$K{4pNn*Z69l5%UYzZjHeFQXMsL>*4$Fu(sa$%DIKa_V$tRk4ZggpDfYK zdS+&59%9Np!wR_4An^Ic-+{dn^8|gdPace4Q=gPno#P#mg00^isYaN^cTiv4vTz@R4|2Stx%z@k?wUWpU0?Qy{SpiG^AYAmaCel|Mt`MXCz{9WUV6?AgL!8k zhR0|w=&T?8_jtgx>NpQ)t*RYlZ3*3o{kFdNeWLEB@nZO%*#7xb1T6!WKVe0l_GnCj z{>ks{c-<%a*n->4!Yy)Ia0mQe1^Y?n2QE2?`2{qu#fPm4ZJ(XSG(n#@7ZqpXoSh!D zB6C2H&Zpb$=?4L1ApgSn?b;c{7=61X;6t$gY-1d;jU%Qsf!Z-{YV8d}WQ2#wB=>M5 zh=wEnzq>;Ufl^c&lmz{S7YX1ei~sRcn0$V2v`-<9?c|g}xPhjHYgepT7pb zcrBs{v9rVP4w@4vy{o@&o}m34@LLY&{@sGh2A>93s^${ootD-L(SD^1KJ*;>x8myH z!|-|E%T4vP&X)2X{;45&s0>0we32NG+6gWG)7SNJf5Ks_y9xW|Q#LGF#7Z6~}x z6Xq9C2j^Zc#hw{pxkW>=h_TC4@-iq*K&xejF?jc&Y991ug;k`+8F@uLLvTt0rGy)V<6!B4>4 zDF0yHJ1hYAmxBzeB81mywmeTcOmpIdlhbxWfbN%D6%elhHlXj7v5gn-eQ+D!UrS33 zq#l~Asa{98*3r&6nwx}PDd%8ZP=$ZpUUR`itb}_}+$n>Gu|J^9k=Pc|@FX@LyGxNzfEyj`^s*;&ddUIV?1^Ka+w8UJPfUYI{D zM}Pm;;Hxrd4f+f7u%E7kuZ43&&?_ZR5S~cqf#Y6qI$v{1-{U^^Ck&WhrBQD#oLb{W zI}z8|-#AU*lkF?hcZj4$4sN4bvBD_Q0kwZn_pjo5bu`owv`Rcx<$Ge;|G?p}SSlSc-{ zqc!{hcuI2b1K*svN%fGgL~Rx>bTxwYI<-}^q$x8XxPI>=G| z@3Fz+TYr8&gzAc*TWr|=ZkzXc(Z4-Dzy z?q(;P_a-yIIbnUa*$7JIpmonsV%ci-I~TfC4+)pIc2tcqoTcbX;+)Udu7p<4Vf}x} zq82B5TXqExR{s0PWkvw&>Qi#)CF-Lu^oB1Qdy8r_OzKNHm#X)6=#|XLeK$c!&w$Ri`|lX)BbvFX_BEy27mJ?Y&lOYiZ?7fH0#=Y7hDvV6TKtSdG^ zH@AKC9`_{Vgr9qcOFsRuPmpqgvdmSdc;l}95a5qN)pq&tPXRS$|HD})<)8luUn&>H zzXPwEWzY#XwC{OKjB@|O{iz3Z&4pdy(?nh2srh)%u#s^Q^82U(tb4^o?re0c7fFer z!4Uj<|5-YYxQx$ldKWYc9|Z3LJo>K4@7wU=ZgVu@t?qpj`j_;}%&W*FKd=_g!f5y; znz6tM9V(E6F@Zt4Usz(Vc|qhWr9ZuLhVK1x9aUf197ij$_z%5~`w_V4USHoZ#(sO% z)Avj=4Ma`FP29)Cj|u%H2$+|<=n0da(i+bCImbSJFZ*JfqR)a0<=`KaK3@1OW$o=r zx_^8eMS$6%$PW4o0-Gro5Hb;?j)C7&a)ao5mEI=!$rxYqu@t%^8`@U*&GifTga$XNI2~S5*oz)&>`~LLPLA#U4nHMuP(J#jR@6)n~dsmYG4WW5| zVnF?S05Ptx(V0ZK_k6WImS7@!nbZ*a#4vUS-ZxecLc#+)*f~6ijKQ9V4bhjuhv|vN z+$y0J`ZlGgdU7FgJ9WhGF2uO@k=Q3QPUL@C8PX5BaZ;JV{>$db(K4?g z{ay@BfNi@E{0-cnP=9=?_7k-5q(Z*1xg}C;_U!Yv3$#z8FZ`AZf#qG(8uJUUb^N?^ z&ODk*NQ?fqcZmg^aBn`^FFc7D@Amf;==l%0nD?r|b@Jty1IqCFeExeF@i@J_YamsI z&v48z8U# z{p37$LSBb;jliSe>oT9HeK2ud%FQH`=DvI*s0RbY((+`%Sqfcb@a|~% zjJYqbwllqAztF#7vL|2LAcaP+$c(vj82)6Qd+$Y&H5<9Sh&u5H0shNFe{#_w@)GPX zuLAxodS0JkPbmGqKVCAP0u#CJwMq9fnD_ZUQ@-9u-(xQ2hCHVo+(@u^l`QF8XBcQc zO%xx_arD0&c~+-$>mI@SK7pUVxfB`~8xQ7<=zDiVr1qHZ@F3}t!Siw(Hp%w5mq|~= zD)^K6Uixd2@b2eZ`Ov1lU#~lon?=|7bNnSjqI2`hOo8v@XMfA0t1rv=7GL%DmjmCv;5-zf5bw8C`iS+?wk;OgYZZ}1zk*}Eu^^vjGmg&j zs=@w*#_%UgUh;aF?rXaT(j?&9x7A1A0{0pux)ay3U0GOPIaedV4Pad*0R3W+>0?^P zQu%xYc)6!O-`dM4qwd8#s?YX}w#cR9$JB1D zN%i$%5yZ9GcjEJiKhCe+;;1|0gz>!e19-U8E#v{tEn7Yj{$yYw&ApTIHHY`E)R24N z25Z@8j)y;)YojWU^HP3xE97~&kYJ~Mg`dufxE9L|^Zv`#Ep2{Zjr}WZ9qHTAR|_A) zbnuj%#7K9|kX~1uFOt*6o?W=dnCE5hpAb!dAZD6v<4nI}OnHELpY^mut+0QthlK~` zec2!W6Gek~01gFjoCRgGX!S9jHm8P_;mB*4pnNj;_nV4==%Ud&v*EEWR=LDK{*T~Y zNYBw#AA+j@2Fr4T&*{NwZp7nfEzB<#Y&>XD;lo4UE8FI74-O`_hrOK!K0n{1HWnL_ zOWq%;`Rp;4OQREd4R|J*a4@uJS(mQE%jQ0J0QJ^8$v>nnQ5@5t{%Jv}|~ zXP1f`h@E`?cENASm~%V$VOUn(9-Kw|?L0PtA0j^3d&X3EfK)za6LZ>re1ZKK3ub=E za|3Vq8}xngFQ8vc-uL~HXTm-wU>SO7(XX`#^FH^51b0Z&JV=5U#X%S;zLiSbuwMN4 zk%i>eYD`Na+!i8tEdkF+KB(7>uMqRLho38e`G^07(ROg6CQJ)dzsGQM;yN7PeeQ(R z^VDkKjmw<=9eVNp!9{wellmDvW2N^wa%enp{D0c|5`*stxvgWQKezG=Kf+r5wKg{XQf6TWV5-fa{*9G8>qZVk^v^Kivp&-bQQ%0=m#p}y(I zj@t8segVce2Y{!<@r=VaZyLM?o{#<5m;CSf8ooMQr#tjdkv(3gMaWI^oP&8EbqbEh znuim|Pwv2v37bo+b`R6(6Yx+W@F#N&I5UT6OUcD?DB2>?8}YoLCM|HomkGMh_ym2L zb*gKZ435V?Zjeh{=QOEVh;k^a_|mr$EGbtm@l-ecI)AW~KJ$J(Oq848Ra?kVi)O~kcA|1VCA93xEd}<2eqsc<> zS%GEgJUorqEn&6Pi*9tq0Z==Q5`l;N>6wM}pPb&AB>vF1d*Me0-8Szoau&=(y@5P3 zpF{Y4i+=GSP`DZ+gP;$v?sm(axXx;1Hyh$La~$S<@$>I;(*3jvdqngZ4g4Wq`&7_d z&sf}tK{1+J>F6)Ko&(nSIzj&#iJ#kb*4bmA?>qmp<@9nBftpe6@52!UI$2oU3iP)# zfBaaS&L1lSXw?*}^*x5dSIWIE`=SYJnf?RdZ(#e`f>+QhnHO2Vj&hMkgTS516gWInJ#9vK|m;i*}g|9lpr`uu|dRBHw%lVge0iuLCUvBb8h zSw_Bo?h@`B*T07VSH+IZa4`s(41OVN5(ra6bdEL68UmL&YHI@pg1AM8ny z0axZn`)m1hWh=;{jl-2Qel?H|o!gbrJRI{2`=&Ozs}I@ChGcAvDA2icGWuWGU+EL8 zd4gB}|9wpOi|@wKD*ivL_mlkBK+GSq&&K>BzAJ}d*=yb!Z&JS2=m_Ftu2v-G8!mF~ zhxvsc)UM!-mt{f$oD)i_+96oL*;I%!L|3bey}Fo9^(7l&lXoc&w_{{HDRrSI14s%HeXu z`NF(9n-t|nf)67)_KTj%<@qa2`Wrv1o+9tNI@{9KZ(AItzR+HnUl>SvIZAuyQ^2?6 z1?#DJ@ju@^4ekf)CaW$Q*D;44#k|kg9J9N4uLytyJzrQ4J7t#}(jN)_7}HUMmsO{B zD4J|^ZKC!#pK+k`=Mm895={L1>^>xftfg?X!Vfb$lF$`(?GS z!F9RwbVC#LuP*0&LiIH5L+B3f7JS7{%b-_sUrmw)-G`m$P^To~AK#s^&@17a?@@5o zU_Pl|K6ot`p{TA4leus0gHgnG&x{LZnm5M0FZx(yeG=Ti8~%N)L!eLmk>wEAW%xOT z@-K8pT*W^0rtve@o>MQ6BgXS&PWRJZJ)8&JvmLWBPkjzGf~7Zp&Hxk1wW?kOftuj6 zcUT_5-E(_+y*SMkH4Pw8celMpu1)rlgYjMm_^=pzOWu<;Ndixab)$vWWP^R_l0UOG zZ|vozd0F&via&Cbz4o`?tx4R1@$pf*o5)KXkDhv{Rhf33DZFDz6(8s!_aGC64hO{dfvw8-paf7&!XSHv}#u89-cq6uD88C zfbL)ES+(pG_+FgbsU9nP8oQNw+8-HSW^i2VkE*uv`S`I3_ET&uj`JnZ(m(E75~BQ! zZ{fG(cv%-a;hUHz7wYHepo`?^oxjSWJU{ooM7^nNXn-_5${vDndey*DqTIhSw zDT#(+aq>JCe17l&Uezo%xHqQTci;{(=xTqM_NjgxC391st!DcB0Z)mq#ZSl97k&Mc zmvRDEjdP;ayf|wbORZSADUKtU?BFQ6ZhX%{oEziB$Fg{-pXM}AfD?*e`_Qv_G@2K6 zwS%Rn=YYFOd9{rrh-)c|@w^D9{0sE2qK?VBV}NiQ7a+GI`#$v9F%Ba$2zdtKHkKM< z_q_x@KljX;KSRE9 z2ipa%CD3^sudQm{GI{{;+u=|$$uSlbB!1i}|4SjRk64)o9c2d|)TYkLy{HsUzk*ir zd&?B^jjt7J^E;kLe7wB>j3T_9e>oXI^utR8A>K!+9(Tf=>cEfVYKiA_X6N*c;Elh; z^~Cix`d@hd08fdrGv}c1i@);^ACfrf?s9|mwA0hw=oHVGZ6 z{{ap*6h>!mK=}d}X11k1V9Q*!hn+HkF^%nHe!M4?=xevYM zp0l_t)jK|gi2wbg`9SesE_#|s?RX#5CYCxuP6<7bN1QJFzP!vh#d$tQTlLd)0Z@wj zD;N0EFa|8{3=y71cg*{;myEU}mR%12P^kQd&(YHd?9!c_EV?t%{#xgP45}=Jh4&1& zfoF7hnXUb$ma&r0vqQ(p=zJBv0FI;Gu#o#-zqlmPNBYjrmw*43I^ZXR2OEX=_IqapksgNW{UsdE?j86*PXZqs#Q^a(cPELE+9OFe|ti&6kf^DSlS2M+K7JfnlGJu!>GdG&W15` z4)*dZ&;6u_`@=)<(cwqjigS4{?xoMV2TR`DJF>zD5)>i2TR!e%(z_HBC;K$7$N=fd zPN`8K+?$lbXw8FR&&O-eA0L$(So=AQI&Do%dFt6NNB#ISyws;RB1m((XY5ISf5WY` zU+{k!niII~Ncd`O2ZBHF->jVX&VMIRX8~!H7*|mMpL;8r*uIl(3L*zK5)44zl7sUL zq6ynI+q{0xdagGO*S_dpDf)8*KU4a%;O7?|Bb^AJx~qqfx4Z>>cOUr2n6L8&ewboh z*Q>ume+ld}>mFY+qM`l=A#W*uT=c(457HYSIw%1K@W1youz#gazjVE+C~ z6A3<{9rBg1iCy&z);?PJ`T3Z5)xX%N%)zs>k?Pw4H%aa}4>QRXW4*`ZEaH1$0r-~8 z?>>P281N2`-@p&UJddm?S#-1m$b!i4i{9IEpnM*CeTJMn`{Lqbg~R&@{bKbcI8kN< zNui;w`1XhSA@>gX^=z>(if}O4{Dt=b*7woSStOru+)i_KCkhF->K2tEU1=tQnk8G1 z7lTeXZc_%`1$U|+xS5C0i{OO4j`R%ojHOpmhSyQ}lkeB~Cu#PkRLzkL^OSpO|JX$7 zDX)vY7We-IeN#YaovioPNTcVR51Qkp=WpdS<@c0X5L}#9#^QWkgCAR!E%~~C3W6WT zXpph#Oull{;D^E6r{CDqfy$u*Pf7MEMef>@(cXp_dwcn}0!rkC+6gD+W@pC|*IV8I zKUw!xC7R#&h*6#QOMmJ2o{G==z_)|8e-#2Q<@ISFBLae@&v#~_NzR#^?<2_ZzZM_M zO?k8$cKOfX=VC5F=kEigZ(%R)fme?~ae!W#2W)5FTJ-S=c;c>s?fDW3hLI~qa|AW=@ceLH*SLSNM`YtC^cT7R zJ}x&dGFKJ)3u6#+9V{i+z2@pfz32VyAbZ$u&@1I!8~}ZvIp|l4jP>kqoEu5(^Leoa zJ!0Ug|Mo*B9Yp+Z9(rK7_Tcn49+I2eG9yX3S$Dl@5)a0dMeRB8eLaMvU+cmE^`~qG ze}zGy`(ugit5qH0JCWkT`>I<%w3Qr6>zoSzSfde|3vU`KT(bR-U3AZ8)qplL$n|xh z=AVzb5=5%$KfORsI$}!L&70u$A#RZ#Rc2t_)i5*x`AW_Yj*pdmd5!rdV$9RAi>b7Q z3oT-ie*vBDyO}z_OumagNErD4o?AfJa(?UZ74l&Wbj9~8w+HoZPHT47JzVZbAQn@$vf*&5b=4kw0Bu{Kt zYQ*uvZ-uq=Tm61MTX^jD?q2FwzZ0n3tYzp&=6;sCR#9>AD{|AEkU2C!$Kh2>P9l()nSjxpFC1#fyGA<2U#v*ySE`FI=mwq_xkuh`AnB*>7)-TRgWNF)ygmWY78&L&U`>lu zt{d)MF)-K%&Ceuv4pJY_B(5n)oa#Ye@VS|Xyci#F7re<9$6RXbQ->0uTL?=xlglipjX!XZf%}tnIWIoe{F=j;a(j%WxoH8@zp#U?uqZN zeBOLPj0-*4+w#rr!FJk9jQNFiLWfH(#PtnC`C2EED8h4bs4A@k%;=r2&s zt3Qqrf8$5YFI*#e-#=CF9dA73-f*H*qVAi==Tmpoe)|x7S?niypQ=8ocIa_n-_qPv z;u@=kt`^c?*UBzQ`|X0E^GR{uRfFFLzo#IVz>Ay3VVc*xGD`ZH9gmsmdmr;Y$4H$* z>&v~+9XwdclchQ7*VQUk_tX30=yAurZEM%OX-NL3XdJzP9Ny$RKiS(j?8+yONqmEO zZ~^lgUyPAF?~fh8@q}$H>H+eJIAF3n}gv& zz*o&azYM+~UiWI?!Lsck@NT;D!+v(u9L1eD zf@yAa`{N0;>h=LN`;-{Mu~?j}{c+&)f7um(z`qcF@yKYJo;k%m{aH`t*MC5s8<@MX zRlr-~=kJGf$tw*!7e#NcW5MrA>gT%@rRQ_7Iq@<3dSg7@!N2a;qtFlJV7z4f!oZ5> z$fL7i{aG-vU8+fekM__UC^ts)J!cg1FU-rTW~p2w@W$tHAwA9)v?71D2b$Oquy3+R^GH36ZoJ4=3?zS_|7s+=bue@R+ z243vP&VVAqu`lj(B;D?`o7H4~gwgIo&kowCu9s?!9poy%>Q> zQiHiuuQ2Z?vXBfvjPw#=j$>~7z6L?6PhPdxUV1kx;@JKT@RQ~K`_z$IH${TIPCPkq z5g6wEzO#7KTVgPO?vEYG#CWOK6N0D{zYZKy=vPp8QgYCj#9u%QXJWf*OkMab8Q2Ja z*$*6NJO~~vb9*rFe=tJ=6!Sh`3zL!Om!6NG&2|3xCtmUy-EQFiC5xI%2FD@FD(5O^ zxoSv7-rq;_cS)}e>GxdZMy)~zx4JOIQhFS_+ahmi4gAc=;@Znj?^M8Z$ z>O?iS#cv0QKH+&Eym3BQ@ZKyzVff*-dE~|b*!^XO)H;3ve=^<|d2P|p%g4?_U-e0? z3!$Uwp;y0I?n2VXxztYXw_mL-B(5_{4tJ$a2*h}t&eB}*Z1jQ3fL3NOMrktw-qO3+ zIaYH*!6xkun3GC&YyfQMNi4T@9+^l{Sg@P_i2WGw#3_*lnxkuyroC+uUgF<@Kto^DUCe2+M5#)pz|6fC(?=vndD2|?v0r)5|K<|V9npdXoS8Smj z$RqH-J`wye@z1v@F?b%fEJ`NEEH_*nL@Uh!m>QU(xe4?(HRM40AZI$pz1^+DsWuk0 zS(x{4FjounzUbqXqR9=o1o4R$1yNICu& z2!Ar{e?R^hLZC9>hFom?#PiCTNaZVnn-k@OlK@t`{FciV^eD+k`c z^wGS>IP_g$Uz21LO1PFFHfgg6!9QG+YVwv>tg+iLiy^g=QO0QSvk6Gl$7nfZb^f~vC z+%7YC&H1KVj`V*%4MLuT7a1n_Rk613e;`%ggTs-x=5szZQF~90V$X#>HJhpE_vT(e z@Ghi}8+#$f94)JsMz%|FV?JU*{Nu>YPa@`8?OhN3RSZ2>ji0&Sc`rVPo#A+T875rK z7rQaf_ zJSFx|4u-zZ;AqVIcY)_FgZ>lA1CUR!a8$OY!Y2oLqghr2b%E_Oer%rVw&1h&-G~75 zi~#YY%ycRsmhW!;6ixi`bNmM12M4@ol^RSTBb+b7%LG@KV@Z#r6U~BcK@3M3Lb6BPI+`o`aTTwy~w?3Ll6x^ zP}!a5c@D5F2WNj26pm15?PGL+ABKbHc%G!c>RLL%74+vVoG0vOTpLM*G*^w6=znE= zs@pVk?bALIPv72%Hv8qQN%v;SmkhbrV!w>G1nW81gEbGCjeRoXZ!y0NTmGWaUMn{O zysFQsbJf+?a%>{;V5fd7mDHHaEk`C6$O#GuL{*C`zQK2 z!DrmwegZL-?R(7o(rZ(6&*1fBv|o<$4>Mv3lv1X`>zF?5K}-S+Uq@W;L^ zoVb^8R?9q^h??H@@5j?N?)R+~KpRjKP#5Q^=ntKt6LQ|UZoYnw+TSs-wQDmx&YBpX zlyx$jOuRVj<3(PP`9r&04%Fx3JDe|kPpW1`b@>~|`(OHN(vh#?1?>Ge;e&7cErEo$ z>RMvBV~tXP{udmNqqheH={^hm3+Z!&&)^jUkIH+hPwr`$`Wz~!NFP(Hjp^E(b~Z|L zBGC6mPk~<9j2Ejj%yrK+C!U1=ig{o1pfMK>(KGItbiaBlSbwfbKH3|)vD~-=JL%_L z+-SD|x-98hpIP~HiYL-??v=jpKr%-DFPKC|!hVcji=MTMj0LS*NMF5|WrR?7_=V3zyU-Cl*@-L+04Ue~^g%-24h z_29Q5UupsUvK9wEXNPIu_U%#X>zQCC{JG+x?z+cMt1tYQ;ob!#y-}E7ggXs>@l+imQvp zii_FOBl{5Z{tSL${+}OiBl;^_uwq(MeS?1?&xJbK6_Xu_G0J9`_odJJ_XPDtH7GF( z`M$h6S$lB7l}!UErxWHA$svT`x&0PRq@SSg!!{IG9;Q8rmMN6m=C?_0x2Eg9_d=BN z?)#JS2k%B{9%8XMVO?!83;VGzFz!u1g`Q{$>|YZ9=)dSKfO=|K_;;}O&`t7De#3v* zk8%I#2siZ&W8P;zcvJZKWe!JvU-}?$-xV(Dm=OAndvjM@6CU&!`1z&Z?Yf8L&vtIk zq*u#9CbG>Uwr6hq&Vw3p@d@UAiDj31)8(CiJnZ6-MN?Skg}#qz#YpA$uSCAx1ALh7M{2#<=WWuS->*|i zxHRy?a9w5>mqeOgvs#~|tb7`P7xq6M$kX$K^eI(2BE7tbuNggHT&Vtxh>HbBM z%ma0CE*3~|?W)1QpQP-3k~rw9iu`$%K;@9#Hq*Y;cz0qfOU;$_sSYmSiSR?qyg0*2 z_vgqxNbg;(c*3>?Xno{gPQ}g|WEVqwyq*33yNCP>>fuLTL*HceHC5t2fak{kAnRb| zKsuS|CTuz{%p=sd=a{E`#_i(ha}M71(EHfA>)<|d{}cAOoQrAK1H5r5;wv?v-nCEp z(V8U3Z;_+<(L^udSCq5~BJO2h@`t_Z4E?P1oU;MHh3(t$Cxari@u%wXB;!y?0@V<3 zSBb%Xx8Q5Z)P{5MGnAV%vUdt`OmO6kXaYUirQ!daiPtYp8^M3ac{uRNN^$+FbRk{) z|Bw&kweAAk$E4P=b~I(dEnK?CoS=GC{`nz#JFxief%}*Gh%Xt;_52!sWxl5FF-Ko3 z8=wyQRB+;78_cEq3x0ms5c>@sWJ$f)K-bJfTysADy#sOW2q5c?d7u8vVf8Y}2meqkSI3Fn7@CG{iSna(_?0 z#`~pzt<|OY+{;||rKk9UCXY>|&=&~8Y=FLx9Kidu0%BW6n^tMM2LtB;Z87P)U!@Y) zHB8I1Ag;N}3reEbu&G!rg3g-B1bgt?&{JKsJfAwT0Cg!$_{EFzp}$CBm$`Btesb6Q zd3k-EW02<*&f0M&)ypw&G5;7M`^q zgnb+r9YIf%{Ou?car^A>ff2L|g$KQd=4nnODULii$O+y>6&S_pAzNqSnkk7!#zw?`!tt%AnQJR)j4@_Y9{D?HQ=i zkvKlxrA<8HlK;$jmLNZ;p*AIk?T_vePD}Xb z4*ef%gXiy|SIT??zQvO92w0e)S0V=#)-7854v`lVt|sRFJJ^E{c@6)V7*Q@6Tmx0Z zGM8XS!+kV_IOX!oGao&7pOzcK?a6ebLv28`NKtxMfwAa1rVp2M-qf{-UEvREu+u&fqCAXJCAm z%pqCeDM>!6)j;J#z|ZdqKIT7pvGiFK$cx}xvMu!EwK79E^doI`ZXQvg`<44@@AIRI z-sgQTln-3^%Byz7w)3s!h2#b7@9PV$dahMNk2zwD-(1Vkz3h=PgL5xUQ*ub=xT)BW zp&$I%V)Q&<-DLU`x(YZm{ro*?3O*?2@F$D!AAVoB!dDJlfcqG7qA!p?&i*U!-MqD4 z1Y4P3ay#Vr8Ek&dg7~o>K3)4?_F#_CbD-FW#_MhD?tH4p9D-+I)Qh>ne+JT64p4t@ zPVAprhy07!G)CEw&sq>@9u{aX(PJl_lcphGc?AU;Me)?T?|+r;>`RP+tQ(+bpcfm1 zlKsWEHy*r-jfhX*oDF|85A31A;_Et>SHU%z1iccuN&nb9)$R7gQ8y0GfY;Xo_>ej{ zM;X&QWp%XdZ`Xf|{WSNTm6jTO{p|f&9hnCc;OFN(4kH?kxuaoFGX}NkJ7&EaYTp%EUblnndqi-%ykdA zBVKx~u3s?GQef;>&%0zq97iDb3iN8ofH|j-uVnqksfB_HSYRjSGixO-l-wwSlnDbzw|3x<@%`yq2(jJrb#c3a_Am*(bcuWR2C#BI7oZ9_Frddr34J0kgAr-9@`S6NMxT)OEm zSK^ragU=@r_lk^po0rxefuPUDRh!gIRzKlNvCE668= zA=9gYhtQTE6ZR=4KAQDR`>hu zo#Q0;!>!$8l^=M^y}s|O?qK|x!jkH z;F$NBf1G1YTw`H%Gh5$7Ly&)A-s``ClArURW3TTmb1UhgIR<|I6~1UqaU@pNe}Z3B zc%|nPV8vU8cSVzD0f?#b^bSl4w3$XML`D(-_!ZkADFkISbD4 z!yu$rFaXbs^hh5`Buk9dO`60KPvcX+%OkXM!x2(uFb?O?0pvh9aEkqm_yfN2)!vIa zAq0BR_Er4L?`AZ=|Wvh0!GtL+G!GU+-!uwtD#)nA&{+_{lSbB>b z?Nb>Hzc0^S@g{;R%W>NZ=#Hr6`^CnSxW+x)H<1`4e0^pJuQm$$pq$O8KI=(23sT+q~f%t9@fN172^iS>y0rRWn! z9N+pDd}}zU(;nw(9u)rMR^Wg6;dyz=+}?NLRQ6l$tk_oAqu@2Ryu?IZKkg562Ja61pU3cr3!iNJ9Ygw-XIc~2-_?1PO&B}wgnE0?ZjN1757PJ0FZLw; z6mM$k-sxky_J4c_eV^@|`-3aV%GE6hBF}~(i@ByKXLe#V zVcNXi#m-s%OV;7UuJ5!)DO7{w5_n#Or*a$mB=>m-l5)G=MG@CI1a34}Uh&R&$)lXZ zdBT+A@+|eBpAkeDH5d8| z?;Xp%m2=+%y%MfyhI<~OeJ!sB2seK99q?E98*d#eb7!X|dBm^X=RcGg^LdeZ!-im1 zu6i4L<}q9Z0e^Be1|s|bU1$UV58t@x{59Q9_l&!tS0X<7)lgTGkMGVbxxY{RF@w@C z_yIXwW;lXFJEl#J_F#C$N=|!Lib=W2@LPVowc2>!#8bGtO+u7cnlc~UJIwKukl$w> zQcs&S)o;SQNcb6dQuW?7%YxVzKcGjF>X*~uE0LgLk-<9LNa&Y_GaMfK!l(^wV(Tc7 z{I-UDVciitZ1$5*ai4b01$ce;**`hai@271&d?w_$o+7a?WwIC z+*WeGo82ZuxD>(f9hEl-{w&mZ%O_93|K_|w%uVg(z`P&I1LOBWq6?0M-%|9KjmYnF z01E!(0A5J<2`AB=oKuK<)n=m4g6p`tK!54Si>qwX{X$#xqe;P{x$HG_pzrVCyu@`A z9gk)u@RIR8>JC4vlB+!?Rv`rHu6e{sADYX6pMB*<5DVj3ZmM_8wxnm%;CQz%NiXMt zUmUfs{MRtz*j*g*%wq3ZQEV*d!n+xf(l7F;z*D(F@bj~;=r8P{7$>k5x{M!+YM&xs znKBwAL+Ja`L*S96{VG`Z@fF!gZozn3sK1wAU1ys zhU_tifTz?QKf%!$SS%0Of9z4jCcpYHBMEhS_9fuF>y6?cA=qu)H@)p-L z!pAw=d5M?$D;uX#OBpyU)Mpe6{upZ5#xF%K^H`6G^=cFuoR@RhoKIX2cI{!9?maeC z^jX-MQ#r2bJNBb5iNCG^=zE21UTJlK`eb9f>*wUNL;`-I-Yy&Xptyf)`AtLCOE_Oj znG^D-Kk+f>2z{Pqp9st^l6Ue%z7n9aqD1hNxNmkug!G9t^vWaY)m;!rgLp4FJwTu1 zt_8}AH$@Z297+a*Z;AT&E;CCF#%FChZ%vrmk8Uw?NZxDTdC^a(XYtQL&I?$^XBWWh zyXyoerUIX^oV{V(|3uJ=kIa}>ZhJWQ9plcf!~OUy->M|21{xBnsUCY+mh6?{v~ z`;l13kAH`~hkz0;8^+r5hZ)wn)R_fn`1!?0_!4}6#5;$=pX|bZgUN0rVhxW z8}q&_{#_i^Z(9lac>@^jr-Sb=3FRW)U$l-QY|*~y(%(~Zs~^A{XPm;Fvlaa0OCIVU zI*}wklEb}y)UO?zMV9QZYZ0n_4y^|g#=FV0>qFOMgZdiHSDHP_Bfk;c41M4D9LHX4 zf-SvfA0hmX9&C{LY=rtLtB30RbK8a5agfQf0dc%}LDNaf;cE*%0S|~{CJ?Zh4U*}`$%YG#&ySb>@;i6qiNBizc_qf( zsuOY=6vxm7*tg6M`cpYOI^lB@-s3U!13c-I{KJG`$-7ugH<9pwmqgGkY#}Yj zgTpU8myMB|10;uc2Dv!t)19oG?-gI=6WUcUY2P(CPT;uBnyzxNADmErKgMNwsXpl! zq&Yb7VG7xQYhy)x-ELedLw!r}j+*mBfB954`rkz!h3EMlHw@_syO^xG|LO22r&Qb0 zwNDDM44Q=d7(WIzteuHnP)izw%N*UWA$S;kF@=9j_`5fws6Pj{hgI}ff=4EMh*{>u zc2~!Oc-oBs&eh-XdFMIW<+4#++rr!{-wO1u{A zd$&4qz38qp6IJhC<3QaHp!s@Gu=aFy3sGKuM3E84f`oaL@=s1Em#-S;mxWlvEk+LJ zJ{Pb~^AN7+nw%u%8vNlc{Fu=#v*>HS&|}^g-!SGE`T6fjr2X9Av@VuTJ8Ya(P?krq zallc5J`3(Ionk9G@JlcFgIS+^>Pvhb9Q`CjeS+IvbU%mv7~5&hP8DiyqK~WIXYm}H z^EZ4jgNFF|Efui(r{zG57B_lU!l=D;7p-}tVI`&cti?Wslng?ramEL6T_ z^Y8+i$wnqTSHge9y`A-eYo}8Qr?+clu!ZQKZJ}4LWWZ=nJ_((#l%x7bPQZV|{3^`*uVBmaaJp&mJoUeO z$;t_vg69R`nWx~va!;;fHgao4_+W!SCc1=GIAz1uumJOZ>!7Z0BQd|oynZ!G_wznP ze60<}yw7!hF8j=h={5!EG30!2)Cu&zupYDak|EsvdnN*%Xk5g@V9j+U`;a+<$!C@u zpupcvfS+IT6Ll=rS8!#b=Bj>h&|VnacX=J%xOa%=f7ccp(wA2yO8wN>8#C|a?$%7{ zcN~FvpX1l-Fz-9y2N60UNqLNCy@faOrYU&i3?_l^OXl$60R-8`vgP4KeQzRX8;t{@ zW?`Q4es+}^y_r{z`K2y$EcZS~4+Q5oF~3MZ8hmZSPx;y{;UTt&mcUNII->-j8WZyp3)3{QH6nXj`u~6EcDWY!u(_>^2n?ge(ov0 zh6|WqxKH-tJj?;SV8HysxXvD!_p5UN7o0loZ*VD2C8k&J2(%!^IoD|f{l)*?`D57Y z30Hn%ks&#$bo5*Beq>D;t>yvt(1=^E@{z}Pz^+(Sq zFAm?t5zB_7!)_R&KZ4KSmN|@gUYG_jAJ2>EBFNvVpEsD!1J^yy!9>9vp!+9W_l3={ zALIL_Z5)MJ`}f?|34KZE_vm&Sd%e|Y@^rvnivI%W#cac>QFO-ue!S2k*IGEmOOR8Q zdCLbpSon!n)WtoDL0;&49n6cm-)j=r4h4eOH->e}agHSM!{5MzMKO8tng81--!v?d zfB&N_S^0h61yNltB!|AzZ8T2g>CpsQ+V0oQo%P<@O!pNVTIhak%PI8n@%{Ktl=d}1 zuay3IOYm%4Vw3lyx$cLy#S_}|uC2zrFWk=umkjRt?DW<|{2KlN_bQpsmip-a^Ev$d z47`nTqrn%ueHZU!Dg2#J)lKRj*y5nQILN>7ddwvzgt)z^?}#E}A=bzib)v-2yz?Otl!RyNe$EoVPB;6N$@D{#Y8SM@_pQptVN~M>dDliGh<-?g& z<%=SZ%;Q*-ltjr*zFh@Q1s>2R2?fNpJiWo|yTV^6^h&1Zn4yoaF4wxwwV+ZQkSm>& zgePaV0KQ(%?Ju}0J&2>AUtU9fSkp^k1a)NeMXx};*Hkkn#^~B^aVPQTKdCRg|EWJ0 z=sx5}C+!Ujh}GWl(0J{?%PKLB1OM25Zj5r4z*AyQ!1l_}Rk`rfH(%#e*I;UK#{bKk zL$TN4^Pp=4t-<54$1P9u4xw?>j)B;*$Rk5PZGip`_C0*Sye~dN=*611yJK*?toLkd z;<}n)_Bq}Ya9vJ_uyv##0hu# z2KxAKX>mRF6Xd6?rZZ< zI3I;P8q03x@K;Ko6=Z9cO^(9Y2}j@_dL^i;tBov6x&@5qYv}vpGl3rlr)c^Mw_xJB`=F`d z`!kO_u*j&v!cEU8_4n8IlwPO8Cz&L?mAP4(&x9^B2(*v?ZB3F~t4nJi?R^=AeKLbO zYKIbNz%#rX43v9%CXClvz!1MliY2}tKRlL4jD`O^;JzXKj!kWe>0OgYN?RV&Z;rVP0{KRBl)rq z8)GF;7rEM`y$BZIBC~Pb&yyU#nR@2lrEp`Ar{}eJ%|2=B1K0$e4%6yn z$283;T(Kb7d``}YPmJ zWPh<>F8F{9k_-tJ-q-p#a2nWOniL`Vq%HoqkMTdlpDh07B>|EnKiwOg4St|=qa`o@ zlPB^FsLgEmYpL-A`}B*f39V*d)j}S*eT|n>UBO`k6lwd^xk1YPE3>EhJ>lrXyw6{@ zy^*25&->_q0bb}K_G36+{4YGk{KE4?)e>XeI5d)dokN7@dN&wBIjar@57lRnd*aq ze~e%ED{#I{hW&fQ;w0hk_qRZQCHf-jID((d=QVVB#**ug^A$~mllM9Kw(W-&)4ue}yQvTO# z_{a7)IAz&tg6bph@VsEZ^>$F1A$4hcbM*825c)na8dfL4qk@0skM3#Ghj!cKNpPRe z-HES{du*$j6%daep&ytvd2qUBW%MPnP8VQKX8h+e&X?Ix2!m{79~-g}{Yu;`w$@4S zi>a}MPv@XLf$_vOmrZR;jOW1RtX&?Xxnt~;=Og!b_ATafaHB3`4_}pmVn#4+#-by{ z3->VwV^Rd6zA$a7J$OpuD*=z0=bZillz{`C{22nz#{q*#t-86J7jdq4)$>5f`&XK5uX@L+n&R_Jx|mL&a_sl2>PW)v{vl59Nxvp2 zC&u!Iv5FT!6m;EyadE_?8{k`u=j0ai^K1>JZn^p(kkGX4m z)78&>CQAM8gNYbt^#b`Z;XK5d6I^Jx!o(9}ZOR@`+h+Ac6PzU^=bRR2qBKePk(yV zu;4s&Rm@M!{XXD9i~;?8b*AtWzbwh5D89Glc@WRF$w^7#(+%D4tvr)@xEC>J?~f4T zn$Ah52S{$F$F@Xj%nL*t^kic`eh~(L2J>QimKpLm@3JATQOK^3Ihph7g}%f%>cR6u zw1>~+La3WRUnAB|_63!fA-|8;N++BF>6Gu zd>>1oSArsv++-v4N?r)m@{~C)6?&!Q940|G;eyQ|JTE8;+H9Ui5;KM`7wTxk3rAB4 zr~k>1Gr+sR^{W9mx9oTPB?b8t0m)o3xYxaG4EAjNUds)m)3As9cX*U?e}6Gke-gP< zPi&v-c+@9g&gZ=t06sq#>iRhm*XykP0=>A*?Sp>>_Eb2PZyHxK(A1I?LsfYZ_=lfx zCvC3f6UP8*Ay35nn8wie8vsw)t*J@*>_zaC;Ds`{9{4cKfBZ0>zC~QOtO@*<@O$;x zQNeq|`+Dul;pANeE*yH~Ivl=Zi2ppwnraMzL+oBQSyk(^)r9ATv5Q0BK~Lg+*;0GW zN4~15+?=!NgxAH7t!gKm<2%#72%xQz)E!8zXnB?iZOzQXh3f!eyNF+rm5)##W) z_!Krc6&p=yT-aU3nO?X;DgT7|k2(7AC$~V1;h){<+S7eJN^{~viTZId74~C{X&H9V zoS2^0H7Q>9K!5Ks(c+U_P<_$h*I8}o`=T>F2v&VC#7F(KmC6nAZ#cT?Tm$~t@FgYx zoL@6h|NfB<%F(h3)?U?iA=F|9I}nPE9Ok{?d13u{)=>}XW9Yp$lXeB+Mert*h-)aY z9}~`cYLfEsPk2)RY-la(W>Ga3b}yjck9|EC!RN=t?6cnzmA?o-Ki4DmhaMpN(9|+R z{Br1ZVEoibyeH-Nl-~|uAN>rV)FrP}H zca)DT&^$5n$UE_EbQuQT#ooZ9uaBh?+)dTj^tX`yobB%tWlsGTIRMdrU5X6mpmf7O z3%}sUFzJ`@IyZ`VEIhT^Ot}{+=;PzpV0L}gJK^USZsb=^RGESD$f5GSDFys4uEEJ4 zT4FR{qkd`(iC+oxKKJk3DuJIH2956M&$Y|@{QFMuCv)$^COj`~xd;pS7w#+k$tI6d zxYx=G`aWvNZQ2IV`ni?|zlXjr{z34FBqwzf;PDvP8k9`3@Ci@&urc*E*53Wbi z(pJ1M!^e@iwcy2QF4CO%SQ@wqKGpiOL#~{GzR$M%`Bw~{chlaRNa}$skYC}T!(t!( zddHR&zQg^YEqLRsH{4nWpA4QK@9!)6l0JD02X|qYEcGow-+u?}pXv1g$!GdLN~FK} z=MP>Vu+Onkfq5i#nKt(g*Wux&SU9GZ`09OdQwVM1g8CgU+Pk*Sj{LcX zcyA#+0EPQhRaZF=oYa|6SkG};KT6v)CfLAsgJ&bJr{!t zJ9rXmmH(-cguDUjd#C-JPh6w(GO<8%{V}#_B$(U@Uc_sad#_Uor&8Cqt1Xlt)(N~1 z6ahT_4*56c4TM}3&igdzmvA*!YI8A+zGV=n5vabqeP+sy*yFCh|GV`?rwqotBz;Jk zPP716{z5$8>~|Q`GhXNZ{WlDjqrErB&`I1gLNMP zF#dnt$D}+2#|Ytzz3f_%7aN7XB<8M%1<-NeGR>{9FW@y(SGexadV>ec zG0|kD4S7ngm#%unST^Ihl~2`N z?Mtr%KR)}%PWb$Pyzw$#=$PDy>smg8%^pkaJ+a5$yD=t~*t?);M8RHT!LE1B4ClG$ zpZnzAdklVjd%y3@TI;tQwOru~$GSiA$Y&XYwibL8{#@$$=smSJ@?z}gg1#@ild6^_D3%=^h4XuAU*Eb@)E4}vwH4ZTwOxuNfyV_>{i3_d@D zltMZYOte2$&r75I{xCFbNg-C7>mx75anU0|V@Y~a=av3@!QqA*%4vVuB;xBtD^E}2 z7{xCO;Rl7>x#E1b=5nX!&}H-`AMKDtx0*qzN57bG#NbaB?)`2H>8D!=KR+I$5YvWi zz4!f`XUJZ6SGMx;UWCvhu60@DPmHOU(*b#8?t#pA)AyB&t@aMB(_C@m<4(eF{ea$Y z69-2IN0ane)V^Vu%>effeM$WotTlchwSnJmZM__Vi}!11JfD2LTnq`KyXErTzY8{L zPj~1r(KB21%hJ8-uTkW{MHw>&(NJJTk9N)>j=zK@gKv-d+Z_Hew$W5C3tk@wA;9Z{ zyXkX!ALREr4+NjXRUX^nV-cPh_G8kw=~hwt5hCqU)K@#bC4nk9*aH590`OXr-^EZ9 z=0$wCZVbjkZzAqvpg-KtS{p!VypI}_p#0-w;d1ZwjB{3<%rBIVj%sK60sUjofrGvK zI$3)}(8srfgSb;k^WE*jiECfF95&ZIHTcPwV4pj2(nPc6f_}l^-soG8&{N0;hG*z4 zWIxzs=r6##bVXha6agCpeoNsd)vBPszmyF9y}CLQj>Xu|zVJ_QFE@A@Y%BkBdY&Pi zJ)1D%HAZ91FU()tyCjuXp||tVKdHp__Kx5w2^TUYPWz)zds9d=I7zI~U&)5~Gr{6h zS&8}O;-UA(_)W2t%RR+QBDEK1e-;VmbVae|I$Wwztx&u@3kB){PE}2iVgPnTMa=k7W>hfJ@sDHR2!i&p0dmuo8c{M?IDbuWB|T%dvd znDl}7vCut|OPuBzu}_w~V$(dsuifIsy=TCuz<`>+LZsKaQe*7LI4A#?nfl^V+$hfz zo6%j!ivi5+ha9~Z8?kyisn2vF`UF_GpB1G&3bk$+GxcH;{QzcOP&en>HwUXGf6IG6GDF|9YL zZ~xK-L-HRNOeB2Bi$Tg~?&(8^fou9V7XIWPcg<~A$(7iC?zr2M&d-T&zA+a5WL}8X zcNBg@ecX5XbFWkm`5EpzO~^C6UZ9|?W|;a})|K|WAdj5xU#o>1c;mts!n{8cHjOe7 znD=2XpRv!ISl`P2oJtEAh;uAhb8>&W(@EQZ?=(anc^a;r58&ruTlC%9S+qwC(nW^! z)%3O%4oA&zu$KiFeZesB$C#^@0iRAYBsg=Bf8q6jo1NqmZfBJ8`f^=lKU#ML^2ji@ zZSYQ^aULAFFE+Tv?%nNlx&~j=BJhbMhZs`&ep#MKhibcyjYb|>d>7!s^15nqD)c{G z)T}+wi-LXX`~MO(pXuU7jJZtNnn+A@h;p+a#%oS3jwQ%b!z&L1j~{WBZ{A)p(Bja$ zFaS9c){(P9#Ezyd7X4<0NIl;`KNg-g=lCY~3*NLU0B`v&J!M1LjT$HV^#6%K0! zi!A9w%X>14_VMRleh@LA&K1u~QC}2?deX0|;|thg?v(Kai30vngls${)~&n)%x;{KP*vi`J~QXQngz*E0r z)0TLWd}faT)i)a^knDYih7;FsuXxu{bz<{SVr*d`_+#9=8oV)?kfLkT;XoLbM~ph7 z2MPc2DD=y*Y;?tajMsB>Mnua!>d8jrourowed1VXO~<^Cr=Z1$dqJWzm-9njjQzo5 zON~71;2T>v06DwmMEd~|b#~8F;BTV_y zdptA`xGa^Lvk?*eG4Y#C@t^{5%vWJQ#y0-FC%kn(Q!Y(&(`SRV=LYkB89wNapigxy zfD0!gWM2NxE{k|Qa`F3OLwXvA+X~O;NBH@rZ#2wT^}DQK-NR3F(R%@&7r}sx&DH(k zSQmmkx44c^n&=xpgHPg%n98_mcn)iLURwwQtDG|};2*<2ZF8VW_fcyS)gO)Lr5Ox6 zH+#ntV@Q+6WE10q*Y?RFR{#M|KTRZ-8>@E(7X?CA(>;mAxXe2l7Q}Yade38JpE4vI zIWy+!!_V)|#Xhmw#4RdA7lhDL*t*+02D5Y(mmy(>&6n^H_nJ4g zhUcdgYs$uT;s)k@@tgGb(%zTanD=?m*=$drD|OH8T&1G)GCV=Qq~Cia?a==qT%FV? zf*N19?SdH9t49?W%NdVxEM9vJf&-Kf4*zi*J`dqzlNf4KXJYy7bG1+^@MwJ|ut@^7 z;NoWJ`@%WP!}-Di1I+u}Z*cPKaO%kd=TURbU9XE)-@y@+>JL{^^ zg!`;Ig~|Q)s~aA|zYhNkTz=ruUi3(#5X3ZsG4B_l_GcOLg-{K@bpGH?Q}7r5wtgDf za_=U5U!p%ecGtb(1MnocAL2!X=8C|N0a&t*6YC3;&0k z=G#u&(AhWMMNJZNw7>8tC*^&$2j3Fci?^SlUtsL}qtbOldJNA-P(11s3K|WR90?WCrbDdn>`0<4?y`G)!itZ zxGs7;&MAJcuDo1mNZ)*}wfek}BQoa$In7J_0?u9mRG$OS;PZ=Jn<~;I&Mjgdm$|ZP zOYOCu8%4vM{%O2?ZA@uj=`}<6NO$5%;@jx~+JEke`xp=4$a&)Rx42?oXF2cdfTy&E zzYv`hr0=V2aWd^-`4N45w>fW~PCDm7Kf)Nd_duw*a(Qn?i(kPd5BCWf#K7z0!XS%G z)$u9?>m2i^kM^MMEHN-lpEE|gk|h@wK;K`6wDH~h8FY*b?gG*O!f~x8LBw@zcF2pd z+%;y-RpZfy%njdqhmim+U$SbSMQO8HZwZ@7`>&E{57#U7_9U)hUo|C`*tS^lbT-MF67xRG>t|Xesc#axw%Dn` z?_*nQmlGBQ+|IXm`^U*SU4(gGa$d+ou-`OdEABZf7ap$vC`7-fx&9=2OuiZM*ZtrX z_>?XcGOP4BVFxm$tWD6Dz*VcusRlh;{$k~t@^qV_&KL*FYe z9BZNJz_aDKA9^L%L2jIX&FG3?r^C~DV*JzW+yFYx#gIPG`xztv4jNv|aR(!`(E2?5gS^&18ANC?IXB1KM}2DDON>z)un~XJiJEb7+5<~^TO9mb{~j5d zw<+gH*N)@GS0;#X`${i*6hsH2VX$bDXWVFx%{2V{BFC)p(7ug1skD;&A@^fX#zyb4 z@WU_{ekAxX+-n29Que?vQ&nd^8m!!kz3yby9La;VvFdBV_m=x%&MyL=l;7(si;S~~ z$sX@jP2SrH@GZ)G5B?a}T#mFGs$8iO7pe^$;lk&3BsjwRxy0)YmyVq%o%x~vl={{d zrV!WWUD{e?a2>>|z_E0V7l6nkC!#>XW~oW^=L>jV_-nh>$5ZyGuaQS)`>@l6Y{C#% zzBTeMuvhN$K%YfN&Vk{45k4|<%+lYHg#H)&_1(>|AH>@D`_b9T>3VTR_t-;`=f{5f zr`!;V;ULYn!P<*3!HoDmG9El7$$@-tLv<&WNgrwhPX3pUr{-36q9iWDMgNBIUOmAh z;u!r;*A3k2TMt?sp*_X>22j*w9O&5R@wqw)eV~1r>+(5Ja$)N&P0DFL8Y=w~$saQH z{rz$jU5DEJ=)E8D>!9@taGn{A{{lSX7iAtVhp$iid|ux)ge%bneMziqA5T|bU`y!x z?AyEweg`k+r`T(+`yngIPrja*OmAUhS?%LUaKD?icR_xDYm$;;sJR%`uNtYy1^Hp# z7w)e^06hi1DiMDDu|*)2z}F(2$7dahuXT9e+T z)jpi-mb%yMmqCneH#+=;EfA^ZGf-#^dtsTIW}G;f)B&I9A`WAtB=g3-Zhse z`t)(3AMv7Xj9e%4Z^qSt@&(&o=Z&`wP$}lGEl8JM+C8-+>A#Ru0VfBVG-tmyQG3>2 z<9z^NX}Ei=Z~`2m)AO4CXzv{12Mj>2j4>5Hm~%M|Rs}le3kLRtTTq=_+Y66CSK|2W zcbH$qhra8IA$>waFi-S>K#X~x`T2_%Vcush59WRDB|{0A&Tr8784Gc*W=`pO>_okQ zMJ@*}JHPMW4MLum_0e(#hV+syjiAZQQTb;8aoyG`Jm1`l*bDmp=DTKxYJUopJwuZ+ zCiP_>2qivem*evW4YS3+4@c2cwm+2k$=*5*_fKrMuU~*4zB>PSle4HA)-!)pEmVG+ zo3-9g;fLY+Ro~Y59GI_p-=EqccJ|$Jd+lF1Yo(mUDap!N?CeNLgT1WT7Jf_a6N-<~ zyvvpX8RZCvY~VvKCg@D7h8gH zaLuMpx``O!_gg5)&zu@)pdmMfk;2YaNOo=A6K_HWgIS%vB&72Dc`_Z;w z-e1GOj0Zu)@tSbx``Y7FVo0BJA6I?eUs)<&CMrX@aUUHtXY?vi^Fr`9qXZ4W!7Ii_ zzPL6EQ(X`GK0hAgHlz|-C4HV%PLux`JsbUEyr)TyqfE{l#+CCgI2V z?o1?(*~DPp=ikmO==1}dnv7WNSDz_k`%Mw>!|v28cw zthEpEEBGYfQ=2u|i?}}KZi@hty~b{P{eHEpNF0+Gvm=>=7=v}cZ!GU>S?6*_Gbx-oWGYJQ!Zm6ES%@Zj5_OW^U&Lu0? z7Wo(HR|zNWvw^XO=eGj@nzRF*XaIUmHyrtz+==*SgrtQYLlg2@SnQ_YVF5^RtLEcs?O?&5FVn5d4 z&Ucp|x(nxLBKAn{a9!|u9wGdaicPZ!r!W%8MTYd5%(10;sI|TCk}bTJv=zR}+22;` zAN$jV=7Uf99p?Rg5E9c?d;CLju#}p1#d3g!>VP2qEc#bM+?-RnOW! zHKPdD1Hn^5i&FISBR0YHFji0hM=eTO-PdlKJ(7bZg7b%SH8CqG3{B;UKc z52V&?$gs*Gu2)?ik*z*|==-t2KAHUh4l3(_O@XIo4EhzWjvIaf{Ct26%-doB6%F51&=#-aaM zQ8`@~lPQ2d{_Bo}Q)u(ykx}&e%Afrw&W+Jt?xzI?;DeYn;|Xv7b^XJ^A45&luigp7 z$LhHC;lh94(#u&n_#H##&s&W7#fEz+A0{E0G^WM7FL4mh&^P5#!1Rs--Gi7j6DX@2I3x5=x}|H6fqQBJz2^oAdSxuyN0 zm5W*Lh9P-&he#^o{`M*0kKuxp+YWvfd{4S<1^1cztD*02tr)xB%HKroSoj+{OgM1^ z+_I=57b|RzQeIW&Ai{R`{?eW~`Z-|U2c>^d()%nziUgG>g$B2Z&R=1zTm|e+_};q$ zpM&Jhe+wWhUhJQ+SDuDXMd3QMf#0$r51<%gMTjx*A4jxQE@JXb|xE zlOBc9J{F{hgYU-kCgy#)e`4M*Vs4!2g7Koc+0mCcZ^Q?;KS=p*{e0xPIyt?>kUi$V zod|7;W806nq@9R66;TGU&9~xJ2i?y;4%8m2+weCt@6sCj3t#_#45P|CfTACH6a3wN zD^tb4)fPUok5jOChh8bY8&Prk`5p15ZOsRy*kRu1UbiyP_s_&wbT;<86IxQs?b{hk z(_!16oQqx){5lrS&eG>`Xt5zZuINh={^=y}w2mSe1$|$BPV|d02I~(z7h5@Ke9Deq za(@{1V~lBhdBsKl-an^lpEsTtxRJ3DDmIwoKE!pba`J~q(r4T@UraL**Tv<3PNbcP zspS3WNoe!feK9+hxLu>-KKKiGe>paXU|W1@fqbR-n2@iOx%&isnpn@Cce9}O00#$@ zi6h=0TO*Im{_$Y=`5D){+y|UitRJ0YLzLsTVKBv;;1tX-Q(h!^~Z)kbp?HNZ~> zXR3mQ6TQUP?T!1G3fczvI;LEDMpHji3 z{_c~Z^b2&@8y_>Z7q%SkM?Cj_@DsjP%nsatZzq1rdL2fUa8W54m!H@sky%vtD2ZGq@aC9r_&$?XV2$0>yU4I)pp=y@t>PR&b@)oQq7Zkeubz`R z!GyZI#d+}a%RRTFo$Q%bCgtk<+!eiJJij(c6J2x`<`>4}bQ)e{h;CPItmc&9_vL%# z@{uOuYqoJbkbB!82r2e02eBt-?&p8V?QqOx^Rz2Q(8GIujttM%eD{az_jG`Lr+*HG|bI2d;~orJg15&p6HIB7qE&(EAI%=;BM*oyqi zU$8yB!@OS?dywv}9JMdFdX#X3r$@w4JmO=!HeEGjKZ55)`U;_YK5yHy_JkIA9vD;< ziThaV`e_F&oQdloBB1ZHU%gu81hT~ddGKVi>Qg7eXgLcw@bgRF;cl4bCAWZYnF^8} zdOvwjb#=c5C1)Pn=v$nT5);LdB~C448V2DlPZeSf=`t)M-{ z=^4t|e&|5^+1G*n7}q^lutcA+T;%eN#q7iJ2qSC$i-FhIlNU6HQ&s1wou+fv0{BSa zQ~VaZ3$A0`SmaHx#gF(4nPf9E4#0$cp?KO=<4Sm6tLYXoFf zWHjW(bst;dOQzO`pPv1VBYd@IYf7;Cv7zr{YW4Wo!Hz)FovGqUm&Zq;7zSi-1zWaV&1~G&2fk;bA`dUhP0=pJ+p{H@Dp5nM1+MWv$_)`SGfeswb?CD!nIP zH{jm6xb#B=Rpj79gMl=1JPaHbIn)yisJET6shE3i8w3&a52=<(eZsGhPh>huO#b^zxsZo3I~~;BBG7@(sby&-dI4;E$QHAuH5N z@{*oi1N8osXD|JQHqiHbZSJsWH2C>Dd{F$Bio81;@!Zj8R_*GU zb|o+9aZS5a&^_=b_{TVK+rW{KK3J0WO%SCq*zvny5}y68d}9&&Xw$$y=X3EPa{4T| z6s8i}x_S;uqd4}<Z{GVBU6L;+E4H{{+)-4D>k-{e|_q7(3~) zTD=*0WH!QWbRpRThJZKDz9;t-swF_IBI5<}Mvs0Pt9d}^e{B(PTQ&pz9}FP-I!S%3 zKX_{HYkVyIRQ}PIMaWOF4JB|2?qfIyw$)G4`)md{La5n_#y!q=JSX}rwC}}+M=8q|zm%0TJ+wqTg1lJ+iu|Ylf z`57nf&;tEp46IJa^TLH?eFxE87^xmY?*u*7$)^i?B(RQ7$Gk7KwYIkmP&SvH8fUHj zVV%a(w6#qq?9KF2Zc9vnav{MR7hY1=iqboffcL-fig!AaV4%XHw2$xS7`<;aDiB}K zSFhr!5*r|b0>nRhZ%BgbhP%QEp|a0G1D$oB=oU(&0|27rCPrqDk=cb5HN$%Rbs? z@Jor&oCE2Zt~#eIs389P$P*bl$BuC%d_8L44aIZDK0WaI?7`ECNzOO=F!;}>ly?C> z*YKORhrT>Yr3(ClT%M+TilZJ>wsx1%crFg)?R(vq5s7Y&`7Z%`zO;_-J4HEUJ<;U?>Cy1(~2IX zF+Gti0B>CK6wp(JZ*n!8*d{Os{$%dQ+C`=OG4RG2UsA?CiTK)m^&0fbUy-CrkCW#r z9{FRIZATX)kBmLeW^jqcUk$xYdgONb>*q1RTz$U(fj17BzE&q&dXF_)JN)}354P1w z=hvlCREYy}-$mKlYIiofFmZHbn zbpdqTYTJQ!RuqtCU{E1^MXHF_B$>l z`q_Ql&j2-DaAvBx{{G{miR(75uQpLD<}>WLXz(2M@eKNY@olj=3XTr@Te|ru$HJ$? zc#qe{6bo0?ea>0R{@SHQhR#bij>PrgWtRn0*V`z>_$7#>zNE!9!-@-v+rsb3Lf&H! zd43P?Nu_rO`eY>KrBY`usK@*w93AY3ZnA8%(_6VSm|vvt8~w=2fpn)muum-87E6nK z5%{SWNgTImTPKTBMZhmMMAuqqD|ymyoU^qzXofGL#j@w(-N9rt`j>>$$XAMQw51(= zaE>|CBPN$Nfm?Fg*M%4(aH&h0`jdL6kgO%6ZW|oKS(6M7kU5&p-on>=Z=`)vnu$Jh zUn%Bx@h4h%64!CP3W^m!$tmbBJP$P)_ zX`f^1Z(tA#*IUn+idX>b^4ek z`POBaUl>=s@?(bXRd&RdTjzc9*T2s}d-W@9x03wok*s8L=mCJ{chD<9 z8`_0=U-EvVW3-oI!d2tfnyqfEfInIM1(gD5G1h>VEfX|X6av2`_N2|wm&AOL@}EQ0 z_k?+W^|qOZ&ckoXdO+WkVd5h?(3!LcX9kU&7RAdCp6qR|+3#=S8D856J&w zKL&bxRw4ZSyhnf^rigX6An29c58fX0KKcyi?Xy%p{HF{;+hpha#~n!WbJ!<~pXp8z z@gHNCo@YqE+VC(s!W@J=51PewCwN{K;o9EyXsYH`#(5B0H%{Fc7Dpa@aXIKs85pCS zpzqsqz~OW-!R7t(pKb2ilf65Z?y^jMI6`|P@%x)50%@_qwTMgbo<%Br)z^)(m9GYW zvhwe6?r|^oTo+<)RqtAM1XqlQWlAn_eV65rE>sqQ`kt-Qh_M4>Tc-%8(zj}n!Lst< zkLh|&HNty&>yAJENib1p-FMmM;D*aS1M@y((Q9FTv0=an<_@_3bJH=u;MV%zUd%7z zyNABdy~>H;E=xb^APe=;RE{IYV2{LqkB{O0Tl0+dkhNMwVL!(CoB1KiecCjb7}wqX zXEXW%_NcBC-3VzC7-DURudV-L-bV^&PwR3{%HQc0Nl!xIfDA|eU4**=W(Ei6a8N%Ox4}G6sH^px=wdWOiKPLGSw*o_QLWkpNZ)L3bYy)T$^Ebff z$79s^tAudkF>`>GGf5x8SD}($&jqiq7HpQOmy(I?`VG#9Nsern2MKpI2>wgai!PV) z`N7p;yTIc=P1Ik6xQmA9p|4EZJNOy8V+5RSxjxhj^?z56lo*nKfZy`Wu^qn+tzAKT zS!QJDxm)O+40Jw1zIho$scpz`*O{d9q7Hj`pcGbt37HLSAPc@Lh}1XTkBtqq#SX!x!y` z)#w~aWf(|g45S@cYpuY2Dv<34NWsKd02Cui<{tQ11jvp`Nk%gZ+(o6O#Q=yx1 zZ^o2-d*XHfurpTLm$5BbIAniCI}*zle)dtyr%#KaCzuOw!Us2zd3WGj%09GH07;Lx zM*_XOT)Y0fMd8YuXzxsm_Ik@mAN6~E*akdBphazNm94{bufM5-nQ*N+M8(k#t`4k z6j$XypkHh$V(^{O_o{uCjx?7+Al2a0&8s^vj@Tw~wUQ5&2M=;L<`>y7f_p4`Ug-O*|C&C<>U>u{ zlEl8>J&T}9VzE$UNDu5 zhq-NY(H={`H0k%OiTfD42KLt}GPqxIDDue5*~yFi{t?t^di;j(QFi|Pzv?Eb{sH}k z>(xfUpUk}{T@Pdv+)b7DF3KSsV-w8aPZnQRw&sx^z^BQtk%!YQ#2*|1zbW@lGJlL~ zt(TU$Vlan0W;675_Psp}A>jwb`xECbE1ogaz2hS{l5_Q=4KbG21btL^DsE2N@9T&D z4K5gQj3&k{G&%LJAwI{fNGfDNMdU!ri`sXtHheVf(>sLcTylGT;REElcg*|OS#NAV zj4t6~Ipcfiki74jA4Qg2)YWg0@Gp;2<-E-@}}t-~N!?Q68GAY8SX$XCi<`-TIF{%wUG3=XcpL@yQh5n~@J zxuWS|#I@{$;7^vZd|xVcfgyPB5%?*&U}-9RWqC{deu;@w?(ao!V!Ovi%r9}1rWU^d zKUwtm-`xpmwT+g@R}Nv$tv@)%JO1dgCOL~Z-hA7s*pMEs%eK;Qwifpq;VysiC9xTT z10cMVPcF)LKVYYM)H}H}low~#on%j5bAFoUP*PHeZG4nfWUvpk^~|w4m#&W#p49`K z&vL=@OwxPqa8JVaq4UYDv63Uac301r+56Bhfn&6hcar9MH+d1%lkS=A;8zx7m<4ex z#sU4EgIP!bX9e4IAk^~>Z0`@-Y{y)|bIy|x)fG(s6vpp|D`x7iMV~nL(*L*5MtGi2 z`XN8S;M|%{nh)y`skzOcqX<+F5Sa=L?nT`06iJzA+ z^;Ib_owDZbb_>-ZIe)`WVoY>Z9 zakrzqN6f%K7|d9=ck$GR7eITHm3wnAjDndH!eh(Z9qpx_OH^rQIojoWiT5?w1 zG4GF%i||E5_+_U|a{eYC3(|fm^x~b93wenl{=f3b?<0@2a-pTp4KAg;i|r2Dm+&Nz zq<`>Y5DDg>f4=b`kK$Z0da)3F*udH z<$0TRBb6p{zYYBSk{?;@PL4q!YORc=y{MxpfZwt^3`Nx*XOh$aWfmFSxm3(K+IlY9r)PuS05;g8-^$b( z3nTQ2vwg|pdODqlEj%9ci}X?rH4%?dt-wW!SPCcda}Q#h*Q+0qe}VmYGknHKwcWWr zBu8>}W1b~y?#0fF&^qG#{j5ZadJWKaYYP%g59WRGr6(YNd=xK`Z}W}YzZCTyf&3O@ zU$2f1p?{N*Y{?v4%Ih=Jd+}g5)&CmUh|hFcZTO)%Q1i4sao=pKuOpRH)-j4WPM&hU zz%b`vZjDIo-90)$bJ;JkpI{^Q)hy)#JqQ$?eCUM?YR5Ug#i8ooc~m;Tyc%RaNOH6cAYV>R-~?6-}s=S9mnr-OdMSlIRxkgt4s z2Y`(*D}oJY^5Bul%HjXYk+{C5&zn)&W8@7#j0AiN41Ujk`)j=LLTZ6y_F*)dr>iFj z7j7}07tZV16?fFWu}2}=JAm_u-`CFI^@(3>ZVZG?UKPc-&xm8+G}?+h;s5Fymm*w80+QhUK_#@>WaJ=8_Y59uSETN zO3w`9wbIXf97u9E_63_taFOQI1%fq{wgth=A zwu+1k++$h8me_XQxEeS_JUHTcY0*CIS6ld##kVvW_b%848Xc=fj2S;XBv$}j- zKYE0ptcZSO-Z#8VRxV->~FQHwMK-!rZqx*UW&GW6};cwWSJ^Tb2==`GNY zjA`5TH|X*cAkajE*T;U)2bgoXkMegsFXA(sok*P^1Ne8gpz#ds_$p5O5)!cozj6c4 zJNP5|WR!&9xf6YIW(c+9!tvRImG{uyO!{Wl{p_ZD&DJ);FZH+2p~62ZEo%Fsz2-{3 ziqvxmei+`y?XFv3%-{hExrA>05eUg2Ap6VVnD_a;74`~!pe!tu1d`-ruA(=d`|#Gl z4}-VIsppx*wJPP2M_$_lM6FAH)RlqKxHobvYd!X3`@U{&Jb=D0?=R0=hWHVNS*x$^ zMLMmmgqwT^@Gdx4XdR$^gNMMkUzZz?~{Q;QwWsh*p zVBb!s&82y<$^rBXY=zCi>+8k_W6b-&yd@9)%9&cR!2$Yy69zk1O`tcp7!+gPm%ZWz z`1yJM?M2%A_b^OzpTC$BQ)rwIL{mln{p~ZU?sw*r@j2_pX2%yMxkuFe5JYA8K*{kD ze)i&LuMOd~Ww~mf75vGS@gfYFnjyMe?YjeXmAJjxk}JobCa(sKY4Z- zb)JJ{^g$1r2P0uS%=^N{tCObt%7y3|N3F--;KOuc;Lc5N)qg*wYQGwIu(B`u3wdOW zY2W6-pWOQH#wLG65Nc|FnrW6rt2j>{TVz-;&#|Sg?r~a`^7Ua!y?%7(0Y z*5t$&E%d**u~E(6OL_L-y4+^o!!3IX;e~6nisIv~z5@3#F7S(WB#en&?sbZiT>H4_ z7;@YB5`@G8BL;0Fg(u_b6x>67TLn-)j+^@6^Gl9uHu{nn;QF1j@)>G`(nGA*Ct%+! zKi}hI#8|UuxbMpQt7)+E zp6gvRKH=Jww;`;Qw~FV2`<>vUe8U(s@cHp6rhK)-Lwe0y&WIyUr#&(Ek@u-p4eSFj zzSJu_RQn9Cy9;Nu>MQljw*{|nz~ff?!a8LU+&XX&6dBxCl9rD71#w9~++%RMUQOQQ zOKhLYIuEWh^HeXpXg__Fo%jSdugfK_Gd0`oBAnCDBhu90*)fIK4!YG;WK_WS?JfM4 zw&r16vT_}9zn!))g4+QcMU9Paid|HXM?`qg&*uWQNmsB`@xK<;$sfkkgRU?Hc?3vLt3=$C>?}9aY~N_)fvDWm;0J|IK2k`H6x0Yy9Qnd+Fw4lhyEhGj-qJtM*nj4 zL)eERW!31Xi-z2{i%rB_`(yWm)OVidLo8p;2relh29n@%&ju08QO1;f!-v6^rZCmPe};c-F91B7QYD|*Yi_E(Uq*Wn*C5*a zDeqzZI&bQTFH9c%nBy5Vb39mc_A}fyFNnUo%L}luMGl4IB(9u#)41EK3MSig>zSKsP2o+I%yx_?{>OBy_QRh89Y$A6Yuk9w|Z=W-VW?WhCB3q zzOUzc5k4I2CD<=>&)bHh7J80($7$~i{4b&h-O4jYp?ETOB6J+)h3yN```4$z1Q$`| zMu*Kb4>iwC&*^9z@ktgn$RQrf8hye1!d&}?$UX1_`a_hSPk$E}zagfz5x&te%(*)} zKyrdBp;swfX3!7=)-t*z-E{2EDnp;t0*@oO)gCr1`F)j9>Pt#vpQ8dOtVtezZ&f! ze8bm0@#8cNu^eCTJ747^3=bwyKw3Xabdi1Wg1gmd&e<28I`qiZ`@vghnhbp8 z1n54^F!*l14&Jpa{E7^?k6oJVO4puVsOKWtjFSmK(W zhd$ZF>#}VFz-)L39LQFdtk4`!MG}sw3)euTL$Rf^J%vFUJhhY5_3XM1qzS1?C%-E1!y=rRQEX7 zGwECA<`j-1(Qy{}5nqpXkI5!Jhf^+w5!*eRCx9DU0+8RpLgVk}AnmlVCc%XNnXYqc zMK9eao%N?X>_0?5vgoDbtcWq>P4T?&^Sk4o1A)$YzXbVb&Y9)>7^69y4c83j8Enal zr+@1`^R>U_FZ)klEA(0LpNDgfd(Zlu=tzsuZ}dDrME3OscwU?tGlAzta%>pv`8bQKIS@mqp#`n*0dM>bA+e-Q*ol^bw7IQ{VNl^3-)zZvyi^r#1FB`nF~V? z2S4}lN3dR8Ef9JPFWPcKXxjw{MzMoQumazhiC?13Y&Z3Dw6IaGJbGN-vtIY8z2@F= zZhc0xCK+f7TX<<6|1V3g>W#wnIrMB-J@z0eZrhQ$|HtsWg&je zU|&Pxta##@)=T(v`19)DIDsCugCc`I3+BXq55A@JP`(PG1m-||oj_f<5acZS%DI5< zY?$yF9i52;1BU!QV-^mrF(+&X_Kn^aO(CE{dB6{Ig9A?9mkh>RRDNVqzsU1aPGy{r z_^01od~IAkgGF+#E5%p2InnQ#rR;?tr)H4sqmUO9jxYQZ(tr6eNOSk;`No34)8<(d z!$|z&m{Y_rd@fb}dS#I}#_{NcJu}ZS<8Xhs^o0_B(wnSc09g4Lx+eGO+zuwL$*8{3 zU3#d?qhCe(r_o=+e9KiYGYPI}RG=0a5+f*s-XQM9tXF!E>E}zLYfTJRE+TTr())fN zJ<8m70RNa^jRv^r`G@>IbLx{nV4uu90rw&U>5Vcz$nR$W6S%HzB&`9@?qd;A8Wuo{k_VfrAF797qZ|Ra}YydWU#yISkQ7c$?EBwjq>nt8jpmTXWnQ2Ch z+1-x5B>8(RwvisdZ~b%B4_C)YdkCPj$o^+x6tPTx<6(gz^AK{EcH`R~Tu^nOa8D{C zXU4L`rIy*$k0+4oLBfxi4NkW7m!1g~|6f`2EPBZwcz5ilc^`huPkf%+FQ7jLYw{LV z!o}A+b88lHO?S@=Hx1_2G@NEFe&oK`oA6rjGja`oVhz@zCAeY3K7N=|U{5?oRtN8b zU!T8DM!uf+o}rEe3{Vws1Nj|}?*zusc3^xe^txvJ%ol;R@sxvW;ol7c=rDR5enx(u z>q3`;&oBJQn$Gh6y7z4;p@lUh3VE{XxL#-8NhV(VC1M};#2qALFVbAA8T!QeUUt}= zE}zH=d{`JQdF6QMZNk4Tf7xLBanBOuIk;E&OOW=TE%Z?i#qJUVZMqFQEpw$HeEmB* zSD^9m&%WCTK0o|UEo?E5F_;bhF_tSsYhm8!e)WU-#@7r=SQJL7T-bOS`aXn|R?l${ zW1X&BnsVjVd#GNWi@sN^o!Y(dmcFb3mC~rN06)0dP=X8K(4QyWHJ5%bR{aZ)A~c_7 zpG9SbGf-@_VM96m{8z9ZY}Ez+VA#ehPw`bg)vjRi4ZT0-LeEhDG`qQ-aye(`YA+j} zBhJ|j!n`lMIQU_Xvj6pFk-^uvBQ|5{9PGT+Ln6huJ99etpipIxA&)E^^@g}-;U3#B z2K|+o3SE|?{}i=o3A1tt>D!2=;EM}y)6a`w-bv25haNvML|71S?Kk+x5w^6CGFHKl zT$Tm>JmDtXTav9j{tF?5_~rCpo%}W5c*{)lr_bE95Br3Ta0yl;KOi-$-cFK>m>vQC z82jm7V4&sxkjDi^A2yI=N76;a@MroClzxC>7v+y_h|Q+Xyl61MD+R7&XdU?ExJUQv zVX`lFK;Nsp-zP`Ww|ITFvKd6&_7hYN=V(>@20MjI&)M(!S>ktiu%OWB%YcV%m|q~I zcsYy}-n?_H7jYi0`|tpAWbFMtd%{+B?D&Sr@57dv3SMg!Z@h`&=jZXZM`V=nLFdKA z&_?FrcfM|n2e!NEiFoY~1rK%&3d_3uZ+GKENC;%f&a?qMXO5&*N$GtevC1^ z(~$Q%#^3whK9t9tn7k6hiHoM-=jS%+b|DpXzm=3hQXl%pfi|zM^LYXDM7Rg*1$uR7 zapF4Pkn``CFy-+;-1on+6lG?qp(mew$dw-G$NZosVmuj(wBr!`6O6# zoiAK;4vn|dzT+dgdVYP~iB99k4_$@59c0P@9w~(O6a;XJ44#hS{m1GadwC?Kb5IcZ zRDRvvfxgc+&U<}5#V7XtoLCZG`?+k%p$*xKK1nWe^#GqAalyce+K=pqz1mR@T5h%= z(1P}Ln~d{?f$x83YhTRTd_(%quxASZ7GW#&w$H=f6bC2zlk_(|HdB4$fgAnC#VR{& zh;4@EIA27b=;9>*oQeHd3D<9f52HO9*A4L_c}7x29>?Ddpio{ERmvgmUA%-ma$_zs zvJFz6|LY7I!w=l)P?`o@bJUAWs>YzxCQ)?b0)*cUezd}Tf4K|Ok(=QlIPNoFQs5+m zUMYHUQlTN(`o=h4;Pa`s1$re5cjdg)2Xxe*TCuK#eq`a#jkZ$#p<6PIVk6Q82g25- zO#16l#OpwFml)-*7hN?Z=VOZ3{TJq!u3UtLdA}M9s9nPe>S_I%r#fms_LUGC%D%ma z@%p^)PbRoZtMvV|v_ISi_8H&+2V6S8=eypBB{UD1k-R3~g*563_?M|Tb zGVtG*{7vVphV(@zhS8e`DW@nGy-3^}xDIm*WWhb-QiS+Pl@}lhk~EXd!J-*EqET?QcZKGopY%x2XNjylLu}OJ8-VebT;o(7J8QQ7BTO0 zo^4OM_`p5EBj$dUp8`zM+qdj!BCQ<;!r>(k@lAed7%M)#Fb{Amko(*-B!~FgGz|KF zHNHnZ@g$Z%9;PHx2R3|}SrFr{Hol0Z{&XuE6T{ssMLi}UT z=sj3D37GeJEp#iuP5R9nJgTaFLj0cRz3zYQX)4br$X5yn_AB&>gVWG9{JL?1<#gmk zt0R{AVCw*yIPcq@ub}U9@8ZMl*aIUTbmK&z+#5PB&Cnjlh)|jy(e=pgo0&8m*C(su zQ8bh5%5we0uRaUs(n>bCV;$^)SLT;atjT9J*FDgGAG6FPM4gf4W1Xdmmc@m zz2Odf^{pgYX%5gmncQLj9GUN+`;Ggf2rfU1w;jQU;TV0r0;4AGzdwwR*WBYxf9i|# z{8gpWK0fzw{dq9&bL~W%^C6nAd=M}9^CP>HHCMC;&-ZK?z^q9*I2$oPh~Qb8e~CfA z7>crd=9=gi?qynX(RhzI^s_V2_nUf`TYe^pqS>(J=p)?cQMX?k-!Q1e!&Uo45-ceL zYy5hS8Ok$U?Vvr(*8|13Tkm*~^jp?5F?a;@^{@lP|^>2)Kk=$T~Mb$LV{9`VC#YUZqE))QRRp;{P z)x?@@(^E!A_p&T-aLajL%qDR={R5X z;zKlF=Ra6EJ%4{OgmVb~nDl(UuS(oQy1ROg`ta_x*Yg-ZFJBLCHHebjPRU$+&nBK1Lwm0_4Y&X08F`L?BfpP3?7M(eT|KtY}_o5tHl_9;ak5WSAJ-r0;zU<@h zzL$RFDSpC7y9wO}X_K*2uuo<@&C`il`aS%$(9nB~wfLQeoKB}DTx(v-i-d!LJ+SVP z?A2F#+Dh+3p~+OpxrT<0s^_3TgI^cjdc;tHfJd(xP7I2h9Zw^N{nhIAJM7tjc{$ZE zfwK664TGN_@%twaJ1VCTe4TNSp?a4|(4Ifc`;WM8<23lmte3(+CjKn&$NAoP;k3E> z5793sI^ufxlR0=VL$j9;r4G4J=|BFihO%AtOrsy$BF zn{f}tbog^6p8`G%fA3dd&MD6TkXylo_V^!c=eyHnE=u?_mO8Kj@8<}Dt@_?T%=@VE zLN#xZQJHgH+yl6_W&RdIJq=)gu@72^VG(1;zbx#+~C)lS+4@@`s zVYJVp$QaJR@JH$DBL%k^x2WgmlfX%Z?YH2+MCJIr0-v9MZi3$u1+~dB*;JVgQ<(Sh zmh5r8Jp7i-cY@DwNC+I==)L3`Ui(fKqQ|zxywAASuQA_Co-;SkV617+RP2{|;qhw- z{fgH_k4uB~9?;B8dnwN#|H5OnuZ_OH@qCJ}1p2=4?x63B{xUa;!Vx$9r5yM$<={*T z1DA|>*meU6Zs(~NpxZD%^1JVl!)N?ocWp1+S}>v>W(T=Ml>c4ui{okO7^oX;)+6-8*__8AX9%s$j|IooOHU1R(#i0l=^B^%7_c=7*Yhlj$1Ei|DHqzclvi?!tTP_ z49Pw8`{bbg*49A;m)M$-$iKwMqU)-0nd=~MzBzIb755d67v3mI6`yona95?TWvz$$ zw{zmuSMv~gG1PK)shmbtnG5zAegnSe?{*g*!?`e4a+VDXBBX!f2K?oyk;S5>$XGBR z|M9aW(6SxNb^srUK^SSi>Ob5BUZ3PfT!{N^6F*hc9Oq2%`JgJQ#llzImrcMe&(D~2F_==iPyicpQPNPTAsowFdG(2Y^(Yez7{?oPR`9C zu6Y{WB8i})TrS%aIvwY-3KPXg{cx}a^?cQ4(w(3$)+_d*kz#=uvvWT=9T`!nG>XEr&b-g3iF)Cq8ah_>%!f?^4^O{M?VB#8dXG zM&R|KZq95<6n)1%&EUb7Wgf_fZ1Q7Za;tF7Z(uLY81&^ag$5`&zh7N$P10Z1Xsqz4 z+Js?0mI5$%F#5${w{?DHPg%fDRJw;eGWV*k#eEoY#lodHUpS~1g8TsYe#FL*e6J=H z7^1ISiPwJJz5(&H`jZ*= zD2gNk4%h0(M&V=wOwk?e$8hSLKUpzG@~#e-!H41B&;3gV`>+$fm~>u;|EmFm?oaxt z-*`xgVb6ZWd9L&f`KWWFD^N!mf^xTID3=&{WVvqReIz+HJTJBa6w5c-^1O}vA?Fo8 zpY)){IR4GQ5|06Gen!9890bFTWD{d2njgp^v`inX13$lT6T!P++tG+xNxEnLXraB2 zzrf#s1IOo7w!U}UUo~)yRrwF|KJ&`Y;XaYGZ(CBqLVtZv>d!{&)JT$kxRNMxZp4H9zlQ4Q;0|(OQ}2PI`?@*h$iA=q_wcF0-_o-~ z5IxE4AJn6Ui6Ys!@Gg}8hJkSx`d?TEem11^ygKMdj8pz+Q)$laNton*?dN9^(noM! z6w3S9y|*=SP4*(_zLLBB#!LHMulQ4q&J9;}TV_uM46eic!h6-i-pRBJzSZD&4#aqZ zG00cqwEpfm#c0kg@S3rQK|1r}wQu8tKP}=y^O^}H7+>#jf}8D2gCiZ4KT{Y&2Q~um z2%f*_`$v-1XK*r%W*zc;@euQi*rcIXt_GH<cBMIk+4y5gXdT@7lT!xycwyrF(?NZV{{<4; zVwYk55xoHKN9i%2hW$3@;pRZEe#s>QY59vd=;1eh3<&k;b%8k8+ zzHt^<;7{h-F$42HRKx~7Fu(BJe`S4yK1XG;$O9i|aGPT7d#!D&oUk(4+7H;mSLgP) zVEuihyC`1?^L`oDx%=j-Uev@zxH!*RrfCn*{bb^QZS|BQ(Wh4yr7NEXeoNU~MVq7t zsSnNx$zK+DXwJS}tn9td!N0~B-gc2WR1pT3u4R(+`Tx(8q<4K>qH@OiS!mw|=aJ!$ zC=-wOyBNdr4A2C_p12|J$mddM2<>9OdD>vr&#RazH$D#hWd34W+Q>Q30GyYcZvePJ z9vLyvdKEF(bDy;bc-_J|kGXEhz7{#Ma{VhgZoN5xtahv#J-%{|*B==VDPZH zmweK(40^*l!-P=!mGcp=G9_o@SSd<-UogKg1|o4h{Mg(NhCVxlD$Q@s$x=UA>q3L& zktWFR^Pc?S;dJ$fSMj0@F1SP=UlcI^?Jn3W?`E=QLi|3CZq zjwNfp4fD%`N&vjr5^)@N8Q$-*hcUrF_5wi1Dbd2M?enXNb_#&}qQP>=P3)J&A9W77 zZT9(-4~cK$-`57u3DpO>(ii4I6k5{v=ofm>C4ENrrlX&F! zd6A0zKHDPAH&-KW*WT)vOMfu#&(%fW6YwWDp+1fU|Dm5(f@VdA+{@mjYu~gheDGLr zzlUDQzlRslQRLh%_8`Uwk7*lAoc8h=49*^EHtvkdp)UZ~n3qk`IsK(4F*S4B6y#=@ zU)jr3^Q@sNtRZo9DKywz=z#qff z(&r)kc)*+2Gz*gXtID|y@fS6ij{X#khs^7<;KDobCps~xZI++(wddpBD0%MNVI=#o zrT_0AE9M?G%rDF}tb|;I`q+a`g6_~MrYju;0$Uvwm=J6}JGdye@J zgVZI<1U)wkk|~PksKPL6FGXLZT$q9|`p$;Im*(`0@AH44zY=`LqAk#&6>U|sa| zeG|b2dimZX@LaiXDbYtca&{#~70w+jait%?1^S^u1^M^=Ga-W*7oGUffuw*7ety{} zf?p>5qr5z0Fc)5~g&&4(OUKanioK`@cuL~WsRB;%H5A^?M_&?y?UUnlPkP>4@@E~e zr@9Wz>WF8-w19!b$cqUF=V+|B3%TYs$PoAEu9 zd*@`6_L)>f{|oaNKYIw*GPhT(^m_Ch4gCl6MCiC2;k;KzZdv$M_?|EpaVLCdeEuXr z-VU7Vb4zfvJuLQ#MP<`v%Z~|Sa@2PK{ zwO8`%P|bBUN}!%RU%mnlmM_4V@3Yr@Fk9h9GG~wkYKedG3DpCwiT!u0;+9xW)Mz!Jb;e0%@2RW zn&A3hz+~GP97)vLIDpsJlYPSA(~7=^_b>B3=HWR&?Sjq8pVD-$+=BB3x^ou%{8AJB z%3E^rUBI1?zS{~z)o;1SUG8toZ^!EU=v4$YLYz6vD~tZZdZfp)B4d~sS!^|*LD^K7 zxqg#;X&i%+{s^Wk%=O80p=B9alWlG7`4v~xE4d-&&0U&_E+>!UYdQj4R~O3 z|Dh!6!9f!EK%~y~aiaQXW>^s0(B37)$@kTF8~kHj7+WXb5I@I4^yIN{dOU>K4zt$B zU%8Cq&8REa@qTvGyf*m!tUInlen6hzp-##H&x|D0&U*Y+DVi?s=f+I%#@Qcr3jXdL z{f>p?3=|({*+DrnXZvSlt3TZ{NcbB+!p|@LI8}$y?IWe8H~(c3DAkd(g9;5$@{qi=Ca&{pi@k~TIu7?zu1915Nk3{;2V%_T zC5ws#>Shfq@GZNeb|80;qv}J*Q!|(CT{8S*5_r3Ad;{b3#^>>Lp!$i4Ndp4N9|okl z;R))$+8eHUZ^N0`EpPo@C?zn4uWN$#XH-g2{s#Itq-SV25!YNF#=Os1xIs6~#b-9T zY7F5v^8JwW&|BDN(DstSI{2#(m|u87fb&6oU&!zGL2cHB6(!2&pXgf3kFG#Vn9rD& zp`3`94w@6F8l+s0H$lYL%JrUC4YV~_PD6jwVqUOWrR?2hgi{uB;r3UOm1qLf=QKDyHYWSb|OI>9y0@ z+8cHPd9kLgEgiy=w8v(Qm--nR;-7h)e--%`;GG69iKA99z*oe)e;63@qgAdNZ10`7 z4u20Wvbr6jJnqT<^1UtppPBffp1yFS&CF%FVWa-M5jpgKM4fkBRp+*~L84-a1{E~+ z8cV>gC?c+D1G^w#KtMO5f&uAG5ZKupj6G^>(bzS1O>D76J+`Q^i-LlRf*MP#u_U%{ z%sKge_x^RyIngM4ul2rjjxnCGpL2!aU9cbVWjyp3;8$9#iy@9RwY^kiNYCMdXnHai zM(gH*+JD(LM|$R`+TvdI1_duIO>}R4l|4a~&2;B^gNv~^U+M!$dgwC?)ngn7?sxk+ zud+OdJg}bmYCe2B3~alF`^@0SsgX-9>ZgakzYWLr0}n^yYCrm3nX@v>f!I#w0DrRhkKVc}ud`(g)j=;@9q2DUQpAqj8|H`xTN4SVY-D5j zErY#58f%oK{G}l1`&{@6eV?)9{jY^<4=CoBp;*A51pi-h(pMtrGmbe`CiRuKUw^}(P1R^pZOlj=h#z&(psS5 zXIL)r80kO6gQNz1XomJGAis~61uR5M40(?@mT^tsQ{?;Dq={zQ%5l1XlJ&iF%ZFNl z7kU!&3;*p`hgj*!hqSG=)8Mz{|Erop((CZpmjHqAt2!eY0VVLpu0G+t+~8|Kh<2Kqh*|Al=d4kr5N z=f=)nrP8F7OOBatC2Zk;8gM;=(8kiN+bZ}i zv3;#Fs@RbHRgk01*OtTJ9&+yz{QTmZf{#VMw>MnqIQur1qhBoBb^#F!-^O zH$9U|l{pxk2Ryp9Si8)u`S3cuc zF9F|onbZ6E>pXVvrNKONBid7SXsbQ>Z~+AR__&TQ?>P7{Trm84r1sR7ny81oa0?8! zRdibup*knuyLhgLUfF)Qcfb#q(lv(!US9zh-i%7nec&cP?f-_Jd6e&2*TSTaJrB=| z@TXVC(;)^)uExBNi)vsEi#`XFFz<8z2|Xy%pHUut7A$UzM?WCTOeY=; zJJ;_&?8kuXpHbpNT-&*(6V4YHFj7ZgegPiEJr(&a*oF3>FXl zw2z(UlN%)vPnk{`$h&YM%dvbz{IQ|%sj&ac4Bj{!)Yk=<-4{L@Ef{$GEBcZD>%FvT zJtyKi(hSO>X1v$}A4YiJcwXdOjfKA#AJe!_MTYpuEYaGx_(dQc3U1h=UGp5hzuQ~2 zuieR{@3kk{REGh$$cur}((?`W$#5A)^+Nv4j}19L29Y=RhzsEhW!uU3e?>@N$eCX( z>SF<)pM8# zL-4%g+T37R9GN6QUT8e#p5kMP#CYd_8fw4T&MrwL^zUV4fi}3KLy(uw#{(zyl7x>A{1E^yq zHwGB`29WeX&IwaL>_rb^+s~Y9HHc$&m#w*k)}>abc0jL$k@#UwhV+g^G)N=V+5)sx zVsPzKFXU(?CxGu6&o?$dnu+la$KX4b&$EIr@pjy4HpL(qjJ`MiJ z2(ZzI;a$-K`RTn{-Z#NI!9GFp1HEckiXWbVENeZ`DVyAUMY9iJlP zzma!cTm!s2+v>Y_7Na+od#4lOA7j}f+fjJ-ZP5$j6Njc1a18!*L_?!zC^hB1_dCq{ zyl8ssAbGF1vr_e(&uOLm`s5hN8$FMVqe+bI$SpL6Am2O$ygqCX^IsaF^zjjl`QY`* zdtw>8k#k%A@Hl?u!*%;rHkMu6LBmJrS$eQf*b+*NW;}i! zE56@H$B@^r!QadaMmVo0-(U~IW2SAG>eU4}D4Sr49nGi2dvz$7bj`vfoE? ztnU{mXkGw)d~zS_nn7FmMO%FoF^=Tnc5m?|w!Rau`#h zw6omn>cXcezSg+`l!clUAMp8w6Y{r*@Joy8)f7KZ^DVjBEBDbu^B=o1h}{Cu`lrz% z0alk9d|&Eg$s&agUSS#uz(l&3i0Mg6Kgv_JPM=mz@vD52gOJGJF~I7+&063Kt%D zenN=)gVx*72QKck$KH^Go#&iLp4+tjTf|CI?X319k`>eoRjT>ts&N1{MGjZKtZp$&$Vd|avSNek|%KPD?F?t{P zWVr0ToGRxCKe3-jq;Q;{VlOQ?O}k=4dSACY3J<3Uy@t=9Aiy|kC`oT!D)w4z(D(#% zuz)QbgjcZZhg2HL@7-&y=-4I%feyzA&(vpA9Q6Q)<7VMCgKJOn`zO*T{NgVks`^KC zlFXkAr$lOw2KzA?S37E-1vSM!8FjSVO3}y1AIwYmPnehR713D+L7a}zT-91zg3WU7 zAm}gbgIW1KIBZhrl4m?a-><_FGXd(dXEO9k)&cr;@-O52zB0aITk98|de23_nB3Q% zqF0UYU3FS%esI(%;So7A>Jh8dUm|_!3~KP9?DV7`)S-$ z5M63)x~reyADazaPuyTT;#!}#4ROBk^#OlwqzEAm z6&PH{)TzIfq*fy;oZ6o}5mfMfu=cRGwxK%T;%}aYz9bGDzpgI5?(QF;lk&ir3f}mf zdUb4@#wp+V;CS_&?kzI%o-O?LlmYG__#-aM0_8n619~Ov(UtxN$CbJ1m|q4mAK^B9 zg6L!UH+!^luqs$6njhpkG1P>M)DnV}2mFndIF{N7ynB3^|7o5BezF)MiVeo#?Qe}f z3%rIpEzcx*k3R4fZdv$t^d<2Z{s?#%%|Cb8Io3gWiS038Fv#GIE8+EQom3BgHSRq# z#nJER1#Ld|sv*AplthYTVD8@`#5I8vpjV1MF(i^6qShgQySwV$_rj?g=dbQ0(o5z7 zz@H3UO7qXpMv$zhJ{rn%UXJ-+ek1IY8N@t3R`%becwW{{;G6gbL-yLp@3V~Ti+TSM zA9wI4R~pX?_Ls)@yihefl@lImPgf9kZBj2={aC-aYA(68N%_*q|8Fp{V3u!iU)HbS z!OHQu(TBLtBKs`-Fbrf|hq<4BK&jd%UI)AfxsOcuqaR8J-!BH=@K26T! z4)dlp%aMr7il@0Z0HV&0(mgeJSp5YQSZatL=yT`)pX0z=yL>g90IJM++ONZ?E`#!B z!Oze4@mV!wU+3Euym9t7lZW~|kz{Nr^G{5de2n5>)# zXXN)Gpq{IgAUU(Q;qY66pH_PLvi7p#oSe_aaAU*i@;m?s(t_ph=U>f6{o*-Z^kc!q zkUF0_(G3JO%YoC9$OSW>yD1MI=Zo;4y2hyPx39>U!#*kOnWu9-L#05;H7=~5L!e6* z?Ym*2J={Z!ylicFkB<($3C#0s3EZa07f5Lc5!QoKho+KxZu+5E4m@ zwRwIJ{$zgM@w^O&Vd5V0`yB_A%gg&Mm3FhA2G5Id-^-Eq&aQ_)q2I+$Kg8PV_Z$6{ z_n&1f{xBCjAiTcK&GLk+V#+fU*SP$7*`)XVUjEv%2mYA&g)%*rKY{!U_YoZElTEYw zd7VAH1$i;H2bVLE_#W<-BYCd4B$zh&(?V$y(ZJ?_2Ez@r@0Qf?g>_QpoQ!;5QI+ z5bz_vr-sw}Z$L6x5=@Lk@6pgk{L#VNyy&$pfN@R1`Djy6xsHK83+8B7b<-ZA!N}`e z$Abi5km!Y#iVV&TZC?aGKh9HYi$LuMcFiGdM8a=*{ek=aQ<<7` z1GkX-`tR`4fxZje9eQ}lNDVm`>cXhPcS2Yw$@Z2e~2((XWC>p1B9%q^_F9{tEz59WM%(HMpx+`_wNLhSr) z(nAx)@LqVLzv|&lUKxz%&G^BS{zc7etsTg}F#j<#o1WBxF%NwfOq)1Y341ZV*j0v4 zi}TOD3k;c0;V%%s@)dB#upk(Rd7pihIbUU{j=I{1s_;bve13U9lgP%iDu zFugy6cfq`q!3W|gr87X(8>0wyafd!Mvy|naN)6Ek2>WDw4~~3p)%QO1ec`Jhzc0O7 zmpqg^fq9?hw1&yxC$pb?y@%@ekr~9P(+cRX_5^^zVR`j8OGj2BL5M$3xnD>SMTx}?EUE}s0$;vD1 zfxaa4>wM;uAUry+nb0d6GpV+~NXy>;^=9nLWDm9?T>B_L4^ba-FB{$K-ttneTrB#< z+yOpG%uy~p^nJ!xxq*)^y=&m}+sYU6hQWGj+9mk>nMeIiAOT8~YijKi^S&LQYRIsT4VdO5j^c&xs5AlE7)6`PhX)@Il}~0n_V^{C-O@GF~@W|Dn@~w1;!J==I~ivo?K_h%pOkKS#=adrbAN#C1nc znvSNByZD2*NTLq-=?=tx>^0{=KH~nx94F7Rez8~JU7l}T`0oK*%?&?^m3`~n$zw7${33{&WoS%yfAO7S0&<_$Qe7cX#xvz?_AYi zThF9Ckal6>vtROAfiaxxFtA@_Kftz^KEfY)g?ZnF@44|Al*YB}nD;rp?G3$-_Z{ax z`jPY_^~n%F(9&w7G{?K%Tl;O`=O4)h3(v4m?va;C!4~Q#0o)Qp@(wecC0D$Aamn#3{Kmy2_CUx)vm`yRX&Wl%RR((z2AW{7>2|F6Vg zKmD4KS;_;)UWxlP_iZr~V>nKYN|Ao_txbH@p9wxcb3lGy4_*ov*eyY?JqkWz2d5DK zIL3D$N`h-BDZ7u&vm@?d%*{xk*0Ar)!=8ZaOq#z2e+-z(HuJ2~r||EQaOL7ehR~Py z7oF_9*hc;OAH9@^bizsc#!tgfAi7etoBHnI+vgnI0YWc!`RgMtesSG6kD4c&|FAFN zp!SYH$<1Di%@N=Tmhr0>9gw5Nu8=5pCdNJmgQLKRX({aRy~ih*jR+EOVL9EYDbQ z?C9Na?0b-wnC83#KJH5x2wV8mY1E0%gI@V?*5X?gKJ%pWs3T|ty^`yfLn@<32R7_# zOI)=-=fOzr+xWwzeE-6HBa#hf;Gc0X!_yypG)IAXUwXcNz&y`$PMQz>ieBdS@F(*% z^YT07Fo$v|s-sQt=3vu1=rfH>y<&$IIx65~y zT+tu6$H?dMzX0W`As28C^4zcR?W6A6?L_aI+OIJ`SMoqx;fMM4sNJcb=V!>iyc+nH zvRA2(`32m$B$MZ}XkKnR7znHvl?pLQ$$U8GJx5EaSFaUkx!d>==R^1Z!C-GCIUpFf9 z0D!%?@WLN{E%~WMHFG4-+wnZ+^!$Mbu9i1xAJVmK%3;2n756dZns#B{=RLx=6=SFw z8%O+ugxA^ckjM%&M`VP4y<_2aL8PHCst{sZ z;tKG_rH8Hs`owu(RzH>a>E3+ARsDb9ow04qqfK1do~p=@IcRz!&BVW@?O*UY<39Pe zQWEjjd}O~!?X_6%PJI~Yd@Njj{kQRaaSVJ?y{^8t z#J0yZqhgh_`<tpewq;LR9Fz-(_1^2opKs9gy(hIXp++a|~!vEXa$p~di2 zU~tdWh|X5!gZPDO&L|?782i~2etzk9PxR7xuCfz315dD^8n_kc^)vm~iB1hcVcS>W zB(u-kGluv&{zdm22G56|rA1RI?u}g@d`)K$FHPxE6&z0F`Nv(ckUbY-ejKSj?UV4; zA_sFK2`+#NBNt9bA2r7^zI!vCKIMH--yq#*gI7@05-$$CpPyeGG-?+3W1RmP_g%5U zd8zW`D0{u&Dd4uV!L-zuDl)HZU5M%w=ofS0-`Lwh{AdM@Q`IKWbh-^bKMat^ zTF2@A!llsQzNk*QiG(eK=Y+>0R2`fm_s@`jVc)86q`r3#xa*$ecsLzJEcX}W_j%7W zZC@(kwC`v>4t)}Jm4hD}RELY67C~R<^;;(V{EP`ep9TBXgV|q;pYPY7TsHWzYJ1vD zFTp$5fc%Q^>OB3+ILa@LRPNUs?@9SJu`$cHCwDd)g9j_Qg2k>Ry$Pl0Kfr4z?Vd^Q z1q0vY8%-JXx)D49?s)_^Nq&y!)2S{OE#5|-1qX?z`N;keCcWHn$MO* zfLq4BDD~}#@qr(!CI}y6!bmG^Tf%^!e1rATE!Zc^+=Tp#aDwIp6JzMNd}X8e1{iDm zFwn}~iC*>T8GIJGFMcmgtmvlmr+c*S*D!BLZm{=tLvp4wus7SC+<6H4#2I@vycvAW z3|z##zYDr@HO%`TP$$~{8TgjmZ?`$wrU(9oP^eN}oF)|079v?(p)1+t!pPfjeO?vp$7)K!LZLApMdO>6Bq}GjawuhD{rL;{VzRGqkQKbX@zAN~T}Gcca92%nADhCto$4gM@+pTSq?hp|o)^iDZ;K_U+0l;6%*tD8 zcF7Q4Pm6h<>i){eV_^0yPvtcIhP>FT`)LECvgt$y92*DA z__pOt#4)8YpM}Z$eNq7CeKwMuicntu8TiMT>kkfJI@Z|Lnr7&8gn3`~dJ__8B4p{* zi|9+T#IzaLAcMAZLB{hk9_$2f^?z@VCx8Ba&C~qL2=K55;ePY!KP85oC$7%&zI^lE zqWQu00m|)352I-AKZBn?s3w9)2Wn6k;1AtK=Mu}y-M&X3AM;w^hlyv~82D6j{r;`Q z;P{T$=itn-!E7S>U%>JBY^s^q{_zgIVUi<$47MZRg{~o7kQw0=$^zwE zpP%0Yy>V~Epx-+ToOJHB>0y$5W^x^~@aenV(f*e&+gs=>UR)%if0b>kOM{e4wHNtH z<`MoELD;U{qKnuk!wa|Smduolm7`Q3Ru-B^D*XP|AB`(Tu zJnW#H<*})H&lu8*{ySg(Wh>;}7&l!3{V&pIT(QU)xg?xYb|hf5x9CR(9jBcg z{QUfLJ>%F_{j?w8x8&!oc@n(?CU-LW_#*khdIO&2Efnp*5A#)5kVUaCtJDFT?Nhci zi4XG9Sn-Jr+lKQb=Sz%4mkjPXzxx3F3>;i~iJmYP%HZecy49pXuZ&lmPg>%szV`-| zq=)GcI6KmN^~{wZ;{2Iivn>D8I*dT21nIj#d)MK=6aU;3^dhmJ0R1XMV0&RM-r^51 zFdXoqHHQm&&RUS5-0$~(>OY4LvX2W8tBz71&LZ^jaUV<`{9_zUL4Kb(>2a7pwPz0Z zF`OK46m#N#76r$;>(Ga?puDWjWbvF*x}*P*gL{jp{O&ZDF+L z8Qt)nWIuGR>xS@ zCHQ&Ab3pn~3^in+UO^BsKV$K8E3y6RH2Nz!ztHs+_AoquPAWD~qlaXiqwRX9r7=5*^gWu9!FpO#hbW7gL}a` zqwiJta`3}6haK<``Yc3uTNp{R7!=$boL{6%cG!)kjlE(fEpC^jbJYD*`e5DL&jMei1`J#>&D0PW-bosg+4y` zW1eGvX^Gm4k*?^ozz;lU8hYOfIapR|__9ClqBCvB`0s#wjLgkD0;s_fBul}Wk-nkI z-K3XcZB$LUFJIc6tM~hQ-DKZ6cXtNat%$9uoI!iNSv3QtZc`@OudFW&Rf2 z+iBJw4fymKcRHlCFYz(;8v6*QB;7!cg?qw&TmfAJYW?Y6Dazq1hyF^w-~5=YdQ*Qp z0u91$bF&1|Q=P%_+8FE!%U6NHpFefAQWIV;2Zd|@*Zg4RRrj^g{nKbK)eUMp$-J6| z`GvVoiz~YkW2+V;FDCtI;JGkfaC^7w#*QBlSjT;=8UtHCd@XaZOPw4V^=9(Ii|~E* z<{)EL+^eBqzI~Lf{(#w|sWytcXI2F-0rsSi&fsS-SFT?WeY1Ma^Ih;!!v*r!GUVU6 z&M|l@I5NQ9{nfWjf9dO}`hRAo&b!c|q@QC^i0bh>Tyzc^;y_oqSjRC{IRb}V30qU^ zzLN2h_c+x8eg#>8l<_XW8y8;VgAmC>m8+PfePz8O2`=7Y%{IAH#x;Nec860F7G~}y zs;-B5A8jk&CZ0gQ821JpH%R2tNf87YZO8j4TkSmwjivekEgt(8eoOfW@(k(O#D47C zQ*U0^+HcaoPZNLb`Iz?7@Z|xmy(itS4`7(do(>;Md=geAn^+!Rv9iqfb894V+&MMR zM2JaYlFm2ep7|^O{k(`kFVbP~F?SpUR}6sRybbBvua4)1`x5qGKX!rduejgp}*?&Mwrgq zIpDr>5y|&8q@Uw`(_G=er8V)Ov%muViJn>Z`>qC`O6(7RmKf4^g&eKiE8xT7wa>u_ zv)nUB!=DT~cjw|`KEzmtFz0yf0Uc-+pJS`=9OW7yk1TV@244b=HQ6#SS^skdJK{KZ zfDL#buldbPoy(9o#6q51b9yk4Y{F{$Aw)6&d}3yPq>Fn%Z*Vgk2zs&VygaKBU2qEYhpf zymDDjLvgn1WR}s=Gyf9)WXYRA-!EVQOZOnniNVjnGE{HuL%H^|9Q1w0LD&u|Hl)_9 zk0Tvfn)2o$o)_scF7_pSmD_q_KgPbB#o+aQx0Zpf4!Q?%PNn7V`&O+5|2rT5!|=Qa zuktJKS~v%Lz0mkGdRD*V;Pr8x>BdJPR0qZ7J29U~zsi6}629_ocg-XG4!DJDcnnWOp06zaN=BZ6G>%4&e7tYJr z9EHE10~qkbaNla{ZvJHRC+rF5Um9}$nLM?RWwkvGV<1qQZ1s~&!TGWp7plKTs(<&s zi3CsLlyAu12>ZqAeC}@t_mzw1FQ!Z1eDd9NeV%9fXrI)W1iFGb;rLoV`T|q--pUy? zh%eLyVR|1J?5(_T=o`-bg~ontC}gxF(Dz^P9&c=kAvuT}PQ%nQ19+c?$!=&!B8yAZiA z0Ot$m1f$XafxzP2@+lO~4;1Eo*5N&CVIRR4U|-}r@pg?FlcV}*#T4}c?eryn?I#43 z`Dk92(|lC51j&_c8iBr73Fzk=Hc1QHY;}kKaUc?X*pIycKGHHRSUHSuKN>@M;Wx)i z`w^QsDenyPKHDfe)OXV!+TPLXi=7-(HcuBBd~AIKuI&`y@7i>Le+&Y7iVJ%DAT%Gu z^C>lqO-;f>YGMbD5ch(wAFaJem=}kf1_=+mf1U?sjttWG-9*f5=uK}6egy1Hrp&FF zAEmJIrXf7~5J%x?KVApP?CHv_4J)GemVI|u;rn8L$Qc*$(F_T6AQKnybcf%P`^`UX zMYXwq=hGPJe|g^x{$vr>i=@Y<_1Z*&ZR}sy>Y+LhL65A;#&q=Yp_SrfxySC>XL}=D z`?#<_W1dozE2;AL-i5x+_8bUsBznXPFYqq1_?n15i$?`G=yt`b&kghb4c>3Bx@e$w zHtkTpnOg8ceBGq^GR*tT%iS^(eMxLYp6Xe~WwO_MVRSYz4%!QOG0>q8SF<%~e#S9O z|MTYs#vSgnx)woixX%ju{$t(~pD5d1OGFR%HDt{B@k zLwhb>gb`dmky~QDRkzt1PxgFXE{GD}&+xA-WW)KJCy-K(3k=n~$~E#hlRaS2er zSX>zW%v`3u9u&s$*nexNjyfurIL#Qf!h?{OimGkG`NE6;PtwRDi=9$~pZ`1X)v}-B z_Uvfk#CL*zwc!!KH{DV+R}cR+W8?bvjwk7ZGwWW z8pnUX=JR;u@OhEk-;Ij7kms9dVm#KMzu}LRMfr8(F83FdMk|LkGf?t;=LY2v&wp-eB2HEH2l)9p$FU2&XtS2TX$O6r zIkvIa&_gDGwqk>A1Rqiz^&WgKlR7fD&}FFnb6cy0>hGK9qCSs>4#YUsw2`S~VxJ3m zeV{5$sn{xp48BkL#_4$!P-rZ{YicrhUR%fg*%*x{L66E30|m| zXRtf^pHj2D=NCRgZkxX_EB&=MwDBv$c6!A5^WS;u=kTAs%(FdLWD{Hgv*&|%QJ#ae zRZQYrU)3>;xW@P{_B-MiepZ%WgT5cYg1mDEO=iJ2E`uJh(0J5G`XKJFN}$TM|7*S* ze*U{55TyO#17O2d^-;u}$4axjY2_%q$T9DW53@LmU@sqLH`+pTIgbi|@=2Z_vYe&Q z$>|H+`wP)L86BXxwpC&JenEbJKl@uN)TDJVraqd9d?nX1zeYbY#{$03Af)q3!`i0N zkxTr5lp5@ASPA|ZU)$?qe&HX70bYpoghiz&f29$0NX}zGujCldqP5CF&R>_KK7Q!? z!asy>irX0W9|9K>n3b47I}&{d`ab)&H?Om5|4;P-V>;KsPp}f>taiW;BXY(V^l!8A zdXf!Q=l9HYFFIbd6B`XD;m@pJ4c<5h#}eJBgu&9_S_m%z0D90DKsGNj#82QnUi#|o zj|EaWVBezPqhX9@;9e`u-oa0-df!EVCI5K-R}MV`%q0d7R(LlD9JPlOeHP;1^&P4{q<~Q2vM()mp>*cY zZFEphS57Kz0%!W0?~xZ_n}B}|v2AAQm^gX_KYsfoogAh817x&U2U&-}ollpj5`i5RH6*A+M?+X4eUzgV}N59Vt1ZR(z z8s5Mej4VKY9~YSCUhpk)uyAJpjpg+W=6#N7S9<3`k~4^|NrKV&UoPEao!+aP=ADmc z2>0+sSX!CRamSFpiM?6!p4t8e{5xO|UYs|pKj?ep@VU^Zr!S%HBG`UfJTW%?-;>y{ zqE~Cp9_W=YqGyJIKgJw^2H>I~PTdB480KI$^tL0$z7HCPyxi|^OMahaC9aXVU~|P_ z?%KhAR`COTIxd{xZnwX6KUn+Ku}>DCj!ET>Jz>xj1-X8ZVKCWF%bQC?;Lu()>#fHPZqY0w$ylpto zZ*UG5erN94+U^rXYsP-QqvseaMJAyr4}N}mUVgS{u5tJ+L-TEp;s-mBo2l>jJHC2< z*bqX;x%LJ6zVr_?0v`tXqxeRtnj5&}s`+a4i%E{LJ@PNW=|{KEXUohzUpFi#VHY2hty_M!iH&ry(0T=VS% zp7;s=eZTk7IX^Z*IdmKSi2Y6G+8K16i|?UVvJHAE{4jr4yBusa$5Sl^o=lG-j&%>h zecD3`cuEZRYe!UeCQry8R&eKPk6XXLo-O!esK=h_6GrR5v8;QG`Gs?oQO9dYANhvf zx!O|~=pnwtNFzh|`==hKYR~B95(8_>D*(9R)3_`OdJFK1l$Vgb-C)J{L0qx zgs)GzBPQ_2@ESHH<&YbU{)Om?;W^l{*H`!DA<4?e`MaF>pgXldUla^*Zb`_Iuy6D0 zt40unhn=og`X3i+^hKXI-*?sp6X&G9u2FWr#AAN3zRa#t-3bahd}rNozA#{=gPU?@ zz#Cwk?1mq}SCK_hkrBh-wUg15#Xbf1K;h3jb;_ZmsC`;m7dk!GMqaH<$^ooyrq&$H z**co|etoEgMRS$y(f7rAAp9_#%RV^{{9TMCXRvRQ-)9^0Vq)|uHW&j|JJeBn@S;@|9j?_p#@g2bpVsy2Rjh^wJJlnggB|Exvb;$>8GOR4}k-<2*-jI8{U~dY7ZY#PRuKUC<{EyIaT-FWu)4aiXvBI&|>M(Y=Y` zrku{P(dx_oEru{%A=+MKNdD|XG`;x)g7b(#$v+J5h5QQuf#tB*JN_?>)!j|Xv1$Zg zA@{?c9!*WzhU1Rj1IYU~zK)^Ed@YI#l6~!z8CL4Sy~+0?h}SJsv7cm{fzhd0_ls$c z1ULRr1HB-k7sIC=gI_-SX^7^{^IgjN?H!2!cG>+>m50-^74fl^i++I=;J4fMfj^n` z1RMy=VaYp@NN@*7nc9R32feaK68!_b%k`{C;&npy-|jm1{S&Ub1$eQWu&?*LnMyp? zpM?G*`@$-u{vG7!BgDvNEBo|}3$Y}8*9~Th0zb?9Xr96OsC9+lC$mwf6nzwMw^yI) zPbE@7{mKwOSGFfPOTnc*{l&nBiPE`%34;Bai$wZqRryv)>f0OMIK?^Aq%a;0|k#L;eN6 zn`Kc6vUgm))LPavsr_ORW8oj;p5p1@#Pdvgr;xJw5P9U^;6S?SrGC_HPU;86eu3|U z?rCmx6Wrz{&?{vgt`kdm8zOOh-ME1mO6KR|X+P>0($@uwPsks8Z{Am&z@J-kspCup zw{G0)KHw*_FBJSSzUKG%+9G}>yJay{!uQ5?K{BUbJ%StnU&I_E^&I}kLS4B~ZtE=r zpGMWm3mj?6gU#QzD$FFm^Kb~Y8%pd>I@dT<`3I#g+Pk^RLHj|%Qq_MK-AZ{A;5Uhl zKOm0g0beuyr$Qrj#h$^dN)z?-AA)(G0d~Ggnxj}6soeQmU1GviCGLg#@{S?8z$Rxp!Ew+=R$_nHA!`7QV}Wo-7!5~H zWFqqW<2mTov!?cmEI}V1Fe|mb=q7&lZTm8$w>HcxP4n@GN)5@`Zpjj!-n@UKiRp$d1^4^K@=m9{G3l_zBqQs`Mj|&$5yQcE<-Bz#FfI1Qz&XjDLzfV?!wGz49OQ z{T%MwyX!=;-+ppz$nG2xZsTe<$%{7qGn%fj-xR$+ocFx#cfliwTdLPO*TIH3H;&A-TYs%@j39sOMY|Id@gjXK^(Yj3*D9ham~y4{6}5r>X!^g zcF-QnHmT~jwQZ$bGUT7xr&`N1j)Wh1^P2S7RNtFOY|9#1ANMiVX}(ILpBDo>J|dF1 z4QkpS+Xvo)wblPh4+bKwlG1|9!mAd0&6UAdc;xo*F@qfKv~EUMaketXT2g z*T+7Td$e*YUo!gP{d{DrS^hjfZZ;{0vc11@Jka-A7Z{YaHf8&|T9(>B5%mP7w ziVxj^eSHV!ec?B+@)N$6`O7k1?3FMYun~)x9^R_^CnEpC_wydnat}^iX`xx1gFjnp zh=1pAXVF34H?c}@dY8!ok|&S&Jxu$IuVN1-gK16aeSI9Bt2)r~vR=z?Gsp>Gqpzx^ z5!*JrrH;W?EoJDgZp>*5+74Dhb60z`%^ph3u1m*1U$%tRPbR0+*M$3y_P+EJ#4c& z(J5Rx>WhN4C+%w+_0xrT>6{1sh1ZYfR`9j(oYd2emT-MsEch@SZ%#+POSk|<26Ke{ z&qb5p_KL&5?Hnkaizgj�NXJnw8e#wll5`=2!-ApwEKw4S)SQT6D^lZ7t&SZHs)s z0~V$S2GMso?i;~Zy^DGJm|vmM1jq|>HAoydB8}c62PNj1EMY`!qD7nkJ@o~K5C^xr@)Bek?g@y|*j_3Cz>UsJZ z`d;BbZrdbDp4Tbh^NT)w+?^QH_V#2rnb|+}4t?TK)xwZ}5x!k1{L~CII%f#~<}mci z6&!S%XR93enXz(zuL3^|b28f3$up{!F3+ijeg@$*9l?8r1IRu6X*$ci-3 zf$DPh+W6}R_hZjG8?C-G&p<+oarV8A$jtyuSkl0%IpB84WiaTsj+u6EwYxWc+i2yT zwnJYib2jk2xG|`BaFFyG%>{=^=3D5M8=*_>-eDp9^|$|k^W_Bc>)l7f&kq4-$h1sK zg$uI{^84a5M1G(9hrBnr&_x>%#`-(xJ*r764MgnPbjMY>4z@VYu%7#@Q=H~Yt=Ei? z%)>-pO!C|CC(CmVeT8c?Y9PNapW`K2hDUb)BA3w;Mr{P!Ti})3j_EwGlzdkU$!d!4Asr9R1(jKTv@LS4aw7@8SgC_1P5u|(NGCdEumiml~ZHS%~ za8n+Gdnvj5$qCYDRSEv&pZK-jGeh~)|A6Dl0Ig7OItSm#vb19cbY>yiAuEcjv$PiA}vuNtY&*dcS$8Zkz!k&P+%M((plx2fW|1guB zv)_1_X(WR>pN-bM(GcW{`1c17U<&W0tUCOz7g9k92=nduleXH{AMqOi2c)ZMqw9ZP5_jKM49vJr~2B(zyQhg4{SO_s?HR6`dl|X$2Uf6ZqSI;dA9uxL-rvp$5TA`Xg3ZAN*`SZaQ&G(>bJwHJ#XnI`8nSi z2~Kdyn#D(3k0CR*kgKCDG@p452V%4zaaWM+v0~3*-f!`D1c?}5HP=3UqND~#%JA$MPI zYQZmP+{gOzVib8~UWa6Cw$R_)Kk=Z{;67}B_>)0X`Ocv^^nE_(mj+OIE`B=_M!@ec z+4<0eSVk?1ttroC!(Vd6*A&yMoA~?pT}QqWYu%y|X=S|}cMRcEly692_`%@Y@+ z9~r=tJu6exSL@*`x><)Q@dVf4(fAAKZH1A%^OYQeDi$;;JB4Z>j&-Xg-m42&{qdv# zd>9UDVcr+LY-<8>O=Q{$fnvDEZY>{PxSrw(Nl4Yt^uT?NW4O_qFB?s{fNc-<4eVoE>O)i67WoJAmG}T2 z?MPSNR1W4E-j`#a%C_3V1%9*}Hl@|@J<1$)9&^kTC=4Ll{`(NdW5j$=Itc9m-#{;WYSaX)E}e5Jex zdV5IUU9cZ`7YOpL_#1uE9?^d5@EW<$K$svyJWvdU(mawz#d6oIfWUBR{~s^~@GWypCXKNPt z4XcnBLyvFu_QTgp3UD}iECJXhQ5zf^Px06FEOa) zT2}6w5f}_-7@imDv;8}S4ztV){@C`N2l__hd3ieADUh(TX=&1{#3@hxII!iAGg6T6V5?_ zk<1_g@Xp28zut!qvElnny7m%cPlkHYgWKRw25l$h5$1h9M$Rwu(|vNw44Tb4Cj7}f z*T09KpY=O0?8l^UYiX41^MdgCajkO-`uK#~_=Ph)WUlW4i*R|S+6BnpH?>=sa^Nx7 zOMSrV8sh70(;-*;Xa|F{gxK?CpA3SUJUHf2DlL$JU5SBI^xyX2UC91_D*Ehs!8IBC z5gw56yue1@smF2jK@CO$bi;UJ*}Nb0ea;=%1J4-g-fIa>Qp9I9bFnYMWqGe+&t#pO zipmk!_s(yfKpfMk4ZkDShj5Z#HJ}O|@T-UUU$`sb1iT3p_FxKSP?(2}@*}?i-;%-W zU7V!9r7q@u;rMu<|Al=fA<>eH{sZ%VAX+{boh>q^va#j2XgbGWFSkJHAu5F*M*1@0 zCrD+3Y+IA;cg)Sq;v4&C`)Kjk?CN4sjz$;o#(BRs0Qw7an1@>lwQ${BalUZc?eCq) zEep8$rs3U%iK~vp*qPraW@^vVb6?uW#ZlYf!)H$MEEkfV(KH9D&wl~%F2vV|{TM#| zDt+KjmYjTtI2wdCQLSS|!kzd5^FEI$H!6inFXlw-lX<;zBQ%oau_|!aJ>-RO@?qc0 z=SkAL7+ajG`&0NEg(m=gUp~Lp5vuoqHx5_!ZrfjCsT1~%J;65-pVs(1gL6$m@Q?92 z{QGmrJuqiH9_NbyEnXSoC+_J<+$wCjZm<5W;B57~o_5v#Hu#f;ZwKDEV4AiT7}Gc) z0R9Pls7WSsZi}1&CUs?H)dm_OmpC+6Tmci6J`NaOB0f2xdF-SIl8q ziTxsQ=&SldS7E=~ee`mGtb# z_%O_EADck+VC+qqkDgdyWRg4Q8=%fd55s$#eKo~l;q(@=Zw>Iqr4M43jrw3VdXdQ8 zQ=G&%^C~%qI6fK(zoqnwW8Rm0=sW1~{N98962cel$LP=DJg+!Pc}Fbw`pu$nMuufF;IJ`<}Z<3xyl#TpIwwc`iq0?Y0JaUKbDOy&00}^ zUPQKwA(o+rdB@RF@xdaOfPN+af<)pPxd8B#*w^KV`Glv=za~cN_qB3Y5`X>UaP^P7 zB+1Xo?G4_C%u@g_jrWqCRfyQ;RRaH;^q51hP3pH_TGsd4=9R&Ipc}qrJf*kxv=%iy$EIX!@9}+C;WxghYSOs?ym8qh zwJ0#|ab47Zn)|M9$uY8GZ)7@5s zcftDdOgn;8vPbhQ81BgOR>*R3tpeBI5||C+)8%>b@KK{X2LJzv`7l!s$T%C5nMFZ{3wY zj^~AcKf?2J(8cm`^V3xI3%`#b!B&C~BlFTCsW6 zTcrjUaXu}Tz*B)S0b7p-yCRgwI^RcgLhvOEmlJtpxff0Hp#=;|iAm7B=3GA-5CpOv z&L6)lfOWweM;z1tt*f`bZ@!MFC&Q7fK+ci<|7rUy#4=8;W2J`ZH+D6MYi@k&qu&eb z>~g;ZPyvG|_QP)pj8KCM9(0dmvN1Jv4p^8=weH3CY*eiq1+jtcT!!q2zeS(8n_P@a z4VInVe$3K5{DWxer7w33d=U5x2gRhQj_Kq}pfV(O#q+}Xr`#>d38yVNRGxt){wbo5 zwm#)6Jq}&QB@?FYYag8L#CP_4&jj7$wj6O#l zg6JUD)K}VCHP3~7CChfR7eNHY&&-&5`2H3`iXg(y|h4u=N z%|U$bfMrQ)C5^`03Xwi7-?Oom=PWMfB3Jq@vx(}A&KF03>^eit#PQRl=l5iM) zagEfx*CKc2!)^`Nxdr*k`>2C#g+6iNUPABSYsc~h25}tz=UC_;ko#tV*C&3Buvqa) z9hhj=d)&lJq9dPJVpiQ`HS~FY4}Rq@=kvDDUK!8OPgqdgP3Pok_S)m|E=zM#GhK=K z;HFC>wcj(}L~Luh8Bt)YVcr9HRMN9J$4B|@d(vqw2Xfb^llWG1edy`h;{*6UBE0}J z{Ky;EhD-3xG(auWixXk==nx!f&ArJTIKQ6)<4JO13!|jRetk>qHw8>|NBc8Ab=K$n zXMC zCQA*r1I5?P(*C?G==($FYzZxT!Iw-RHb+SU%&eeB#| z>4zND0e*gde`DS^S9x)#{1;BjO>UASeYe%%PZqw?;AqYFj*n5k>83(Mc-AYyRsJ|^ zTX@w#0w!nIdHg!G_+6P+(JFZum!>Aww;Q3qk{56bM-%(bes6_-u}yG1pdVTMPOX9{ z6h(RNcwU49j{G_Mn!=Y^q;GOUX|W-CeVC*6G4{)(pXwl?cpiLy#=9klXznS^Me_>2 z4#HP1_cVnLu#a{P_DLLYy)mBt2e3{>JTHLh=1e?_{f=%H;#9S zRNWGxXW^gy7EaI2*w|tJoXp1J6RCPXEQlakgZymheIXtEKAe}Ar`qbzBRQ51^7C&& zexD7}&o3JOERf=U#@iDw%=_Z!N1ylrE+nk*%BaKzi`6{|Zl%U6HrrDgZo!ez_w!$( z_-ekZ=2x$d)E>zPCKBJ{Px(e5zxTlBm)sU|loR zCnsocJoJ6$#W;2ZPl+!w*TeL^+ud8|{M2~Osr(Q{vUh3ye|n|(ygxdL&+pC}3&pT8 zuaD*20ijmma4f*QFMTpiQ#2r#xNzanup_K7j?eZ?ki6j&==;3{u%B<>798KdmX&y&H=uR6J~xMg%lKIEC-cV_ z?L|>z0POX1lD$cEZ_Mrd{qEyNXmh+?F&Ot&?k8DU#y_fm!^mYU5azHF^t&AE9w_I) zyG}WhqjJW)^k5r)@ZC(r*vO|H%oINAMf~_9=uZJwt3?kB{lxpPf#@saf|!6H>WGWN zZg7~yPm25o_u+N^-6Hzo*>}Z;@Oz@sFUH)0giO8f!FS5s#*V*&Z;4pjc{6yh0w{N& zDjYbel}a8WsJYSuzSdQaQC~Oaec`ZwdEHpY13COK9IroV8>+sCmPvGl3$x)L12x&l z3G@DiEj>>Sxq|*2=yWZdljuI=t4~X?A7j1zp9tlWLf;o3%9;qx!+x~Yz2^2<-9ODY zlaClZE*Z>csSo{4?u{o+B>#1)zuqUmLH|n$(PwUKve53tbBswqPd2NUP2m2%bbDsm3zd>vF$4A8|0C>lceacAW zUl8a`J!R2*VQ27QxuDuNO!rw958}Q3j=UP=&bi8fTx!7}cJRi#A^7~)( zjkrE!pHXU{b>-4bQ7$3BsH2xXhLZ6<2+T_cn7Q$^1Mw((ndOKG;Y7S~{CV6m?RE?qP zuPF^t-De(n7qEGE-{C-vD~sraJjFzu)U8?(k3%iN3kZiD;$Qgr56EH(y@FT-?7+Ow z_@%}TwJ)hY<`=2?%8Jx{l3iEAsb28(Nx16JZQzGtz2Lw16%44oZn)ikOtsyV+ ztCXYFEb!ln6|U2t_`HQH@f`c)#DCsop1|kN7vuty-s{)+>wfx&SBB(Hy*)KY(4><3 zGQZCjox4M^E4`kv)pL6l6T$6KVRXANVyw~g9|{baW1t7gJ{W$HJYLMAPh51Sl#H_e z4IjOiz@N;vrrj0&=^TWDH2m-5xDTt=D9sb*dduhD3Vi+@4{&j+jT{t%gcn%oFAE0- z?ih^qcZ5GV1O+{Zz&Vi`-DLR3cwRAw0Y-x0^-msjpNrKo?+fpN=Y8&nc>_NT>rMMJ z#D{gZdzx}HPJz<|uEe6{S(4we$Na+ew9Y5Z#5jTt6I0aZig}+~JVuO1{~2V-@a>ob zAYXrWBuDed$Srfv#&HjHo2^41pZ_`Z`LHJ&UDQZinoq#J?%n!l7Y9uY zSAGHX3c-0@v7zJRaeyB3qF62oKv!wT9nC78#TH zgQpXn<%qe9agulD-!evXo;cr;#2&pXQ#s$Ahw5Ia zZm9ZTzIV}n#-HJb@$&55q(!RowB93M#lc3DNzSdcPSSm0a3qOQzQmmvf7{?1_9fkCH$Mq|W*O|jIXGX$cKZVPV_p~?F(f}T z!-D({^n}N$wgl0=moM}e=|j#jm+|*58Ju^VH3K>>pWD++WquuhYB!M`k*|z8yqI6n zjV=yl;t%>?%7N_rDogd|8LoOy#{44tRLuL5gWi~L$bKL5zW9-T@FBMK&p@x3+;cal z>t1Q9kIoGV3DSe;_@kfrErzs%U*^lLXWLywUlQ+wTYIa20`tpq)SkBe2094mvB1Zc z9Q4Cd;}#c?+;Ud_19Ug(&)XKDeK}jh^!@_>nD7hx!_SWcbxwS)`U*~faIZolI|K#6hNc8p)^xGd$DA-@ls(%JpLqTgW1j0KN}q!3feRzCJ2Zc}YKB%XNO zcsI)`&*$QmW%+&VowwpzuwgxXhOF-o0EdbDV5-{@zQjr2^-hrYTf3=N!d4Lk4DiR; z5C`sEC;q{g2cMr`u6#OV`z5^UFUNO zyh-i>>h6j2#i3%)=N-`_z!(Ma$Aqteeq`|@6%`w$uif5Xg+JMAWRFF^cF!a;_qAc~ zA^EwO5DGwyJHh0l`x$=+;x&Hy;}qo}{phN5_093JXL`~&u8hM{WOM>(;>NFu+QV=g zK4rr8x)7#0{5IZlpZXVhEa`vU93_3fE#c1)UZfTG zG5&^Pe&PLh{UsL3HQRjj7yYbNoiN=)x_S_&ep>%pgBWk_);w2pYXdzb=kEhw8}sP0 z|A9YNzy_s;toyyP2xjH)e4y`h-N(k+X7Q2lK^|Fpzc9aWE!X5Pk!M36QQ|1PU)c{k z4Lz#%NOrYLp#5KoD@Vw|eTVPbeT;pqJCAd!N zZK@ScH-W93eLR@BX8qJy8?tOh!p6f(_0z#lgem65UCbd3FUF3n=mq~6_el9fE0=s4 z{FaP4s8M9pV9@#AXuA0xfaHdO#C;uO+U8I!-!rjS#8a|#L}U1%6Au9~G#}kOG81ycyzyUw|E`f^oypB8hKR@*|W9~izTk!Yy!<38Y<1N17jk)pq=iU`X zzU|K5JnDn{f#mHD*KFd|l^Dpmrrc8=5RSSUp!e<#~)o zUlj1)FBe-0cxIgF`3B$LhSx!Uj2C@w;mU<77b3pO0ds9Mf05v&d+@BXUIOsWq}RpY zO*xIDqm>hsAEW;03dryC0ColEGuLK>22ywA)#A{Xv={Xyp2*?5GC&9ZWbrcxn3Y$2 zANynm83$Tu4TJ6yVq~w`IWb81fE}@?z;&lzKKv!jzk2-th&u1EsITqoix?XgEJ*Zf z)WjOlXjF`XezzLImIw$63IZZRlnw%61c#Zy-h1!S*n982m)JnDpn@7>OAL0+Z|%K# zpEv*9=e7iyIp^%M)@NZ~ESwF`e1m`OPp3I5KPWSU48#^5{OqH=kz+x`ZS2&MF6w9h z)q%Ppki9(WG3kd&H&Y#dtytw~bcBCj_H3B*@j(3sco!VdT{&2CRO-QxEPdXvDEjm1 z;P@F&+X;uU=Y8-kSx8bpnOfl4^+bMLB!8~RLl&J<2_lI_*dD2SgnM>cFQ1L0eOpne zgFhym^*dLL(+E!gXAkyoh~4-X{l4U~O!A|-0=$HOpMQYb9frSKztK1Pk4eg;SxC!}**2 zoP;C2?5aii3jzL=xC{%@@G!zSx^}&I@Gkg%Zsbh7-q{?Rt^SIu;Ko3&czL;rI1aj^ zTN*KbeOI4CgL5wKqkoY-&dq4ria5aaN6a)E9EB#or0AZu2!1g<{L_OIh_Sc37g>qp z4p)K?!*b`vp(!MCmix$6;&yVvaJ?TA?3I_i0K5y97ajpmDc=E7DAG{u)k$VfbfQ{53^AU48w=9H|ov(XGW;L|0d)>^YMi~S@LXBEi{I6 zg?Gg&uVZx}iEjh_n)q4p{VTzLy|K`Dh#{C$ly3;HbE%``uKlnA^JK`bT)y(9CK!9H zd;{JEuW81((08EvuK3MCa%plqr7GY5`(`Bk1S3|?Ve{V5^J9+kn>Eikj`2V;>MOVl zdW~%zEIh%}{?NNH$az8(F$U^E`Qm&r`@tlBtPbFjBi|#uVw(CR>PAs#0ZkFH+H*=y zBw>r%bSnHWEcY1tE>3c2Vz!tmOau&948IL8oA*0mrfwW8cP&)sZ~HJ$=6kozYoi7W z;axk({AIxx<)|~~BCi-pS-`T|9=U2Bn`0<}UU#>Ldl|F^f~ z_-0l$DHk4dD2}~y$@M0V8<~GJkr>no0+o@TyJt3rdZcn9}8X$}(Ve#vc{>aV=NX~i7D+3@M}K)bs$@tA%$ z@{+`l)x?A5b%s&?hDmvlVQEzK$7&=_6&N!2y_2c=x$wPn+{l~<(BCnDXl`-;Qrk!Q zj$;z&1M3j6Cuf`D<(oEwd$?k>4LUOhk2?D5{kMO(a(>p@6Jz#*PbZSdjvrcyt0qhB zT;tC4(b@Bm`@~%OQCZ=X#75H`=o9&$+tiK*bB_ByPwMdFa`!QHoJjuV0`mVj-{P>F z%$XjYiYAl;`+u4ir+E$MZyOw+J)~m{O=IKI;{Ymy9JB?K!B1v?_up3a^{xpe#%b+X zVJ7*#4v!EXMAKOoI(q;Ma_DPJ%$kH&HBIpMG@PDdY7^iC`?$uvy1k z=JlnRM0TU&LG){@ny{$oZXk3%;d{-?#OVyvE8unP??qbywsgzmok3 zUA@%b7@a_GQTMEhjh1;;w~H3?mBzTxV88jx=jwkM{5SN;Tp*A0CtOBFBd3HBV`;BJ zpDcYte`l#HKS4hxel6(7gg-UUM1LT@@H6=QufM|Jd&UEU=O|lKGgV&-KRnlIXSbS( zaqUT%6SFTdJja_r>Aqq0OQ6-?d%88?Zrw=j`qF#2?v*_4 ziPg6GVbJrV?R8vbCCL+Bk!!Hay6gw!cQZJ+d^pwTAgjLyXpZc%5}KRX*i&`zgOLA% z9EDolu^%n@ba|ghH{y8s7fI2ocU}`qj4>+w;+7%%M(BFtk>43=1kfx{_2xs*zX^e9 z3))&~QwO}Dy^$x5X$(sS&#+ZxadEo1W^`vGG`)Pl*1V9K&)<9SUOeS z;Yp`liDT{dA|DxYyz95Ie-Z!Ttvo~ct5=eQJAL?55P1SP*a7EdO7*E>PCrM{LC$eF z)=uX)m&1v_kDGB`Trj}cjrka3)%t&kB)G1JRyt*n{21VmiSA~Z9UX>$?%nJ-%7YGe z-URGhc)_;#iXlJmBJ5*uEPh>!{)Ojc{(iKJ6-!^fHm0+o_PB?;9juKVLq%@3%RYlz3CQebSgCMRev&5L2=gkQ_XUo9kGgWLjx^RD}l zllWH_zz>TtXI$r|#d=G;dmhXw>*%igpfl+A`3v4Vn?Mm>9sr;6yt#Ad)|_IJd#OR= zG`-i46&Ro<w2Zgx!Vu^7-WV=zUh@9^T4+j>>~gY z+k`wxs3tR-_f1ib*v{g4a>#Jvc*}K7?5PWaBm%InW&B*;M&w?~05R8SiorlZ70jIw zk9ej9=E+-;)Kn>m7|VTZa|z{^_<2%I4)|SKo&Jt`FlM-)O}Q8mZtAy9MxVl8~ zpnLYoOVT{tGVmh@-3#8(CYgBrT^sx{!3SJxr+k|$;Df^UwgmgibR6?o=*L9IY!8kM zY!>;C4SME<#%U$?A1KFu+-OHE2S~%dvKoTq!scNAA^{Uuj8$mV|3G~vewky?fAQYc z*-OgY4P(8zFHU~@gai>M1o2@~N zO0O&2{JVOVEyng<6W}>_Y z-=U7X`I$kgxyo&ARa}n+Ay1A4(;-2{e5?|ZyD@#dr_Secs}q-X-V<%QC$qYdaQV=` zuzw@9Zd|ed@0O9pKyU0{I9KG}H1Nj?gT}eQ$1FV1#a4nk|BYK_D6t)QW+r$_oP*;M zA^WukCX4#PH(=k+LOt{^NM~R5eg*1C4mK@{ls$Ko=N95_e*KHp#kNYL=Wp?+U;>j0% zVWT5=j03zl`J6;ze`p#^af9Im08goJHyCu%qtxGN*PhPN{Nj?^Qn^f}S5(>G@Yf z$-;~8-;rm*iwf}igiq?&LG&WqAC;wN-(f>-8z~&nlE~vko9r884=(?OySC1a!-&_6 zMGJC`_h_%@KrihW?0xt9+tBUvpYsco@OnDNm{h-W0X$fo_vgE?-{$+Syr0%>lTFl) z&snWO%B7y*r8&ua;E%`pv3d7sVh;PXqZWcH2Z4}-N&3b&buRUUSai zc+_L(-P*34>`uKBxFT|=oT{ zgS{`UUW^6OhT*b5|8AN+v3=#slZnJ}kVF5p664feTyhNI?E9cT`iwwB^e?wNp)oxi zq)q5J2Va=z*}+qqDB#4~hWP1xVrYN+ zljf&q;eWyRxY}5o=dD08i|B5_;;XtB zovd~DyeQgr^782B_1df6wESQSz_Z-aJ6Ur~8l@@!p$*Op1OA(k=EgpYR3FF_J7Qbz zr%Lg3!44+^^@Qw=e!ph0|Ee3#3qNCJuY^)V7JBUVqg%_)m7ZJh+7SK(^p>I*%q^=N zuC61M*Ra}^j_wUQmI{6{(yU%aeF!DSH)Pk#F~lE^ejnSjJyz()SfAhG2KJP|8uSL| zaxw=ug0mzXs`-hcQw)S2=IdIwJ4Hu<4-?nW-R<8n*~8^yp3FM;eE5-<0Uz}#JDS39 zQNR4hQp}+&FvRatz6NcocRt`>>?@^?+wU)YrV_{#7mm_$cPc4{aA)H6^Yz`?`sa%B zAj!Y@VubcvlffTj{)l6t!S>JB4Mz&s<*8SU?5C%d%aYu%*#}Yxv0QUIxAP&k7cE|t zpgDz)tR$GvPso44;=Ak06wS#5cZ=)Rrgzc5puHV)!k%E;ue$C@BC%U|{b%@?#R+i3 z7(1tG_tt^fo7cpRH9nk{*Lh3H(wmM)&kl0m4yQInYMvF6|onTj@6r&KeH?K634!;(ZZ*K*I>B zlPAPls15@%;Xku`fJCXRKz%=lAg7k+FW^N8*8{ro@@&|Ke}6k{5^Z`olK2RI%+S2Y zKYYlMITqF+@= zp3Gdjz$^our68!^C7 zW<7Ktv%BaHJ+e%~AD-JJjT|~v0;;&c;277u8JWsoI3F$hf-1Yrx~D>Jm~cw)PO==e zS%(DS*XLs&aSn^9S{rO67}0wQEIwYuMM-79qipC1^IvGA7)cLj6V5*#EE znq&L}n#+%vGszyQUbyP3k!K+~jMXJ*=!brN=d}QzpE(}!)oDSiW!qB0d69hjp>C>Q zj7Cl+>yY-wD!;eMZR0aAYCX`u?BRuxR{$Nu*ZEs-oA`RG_5|kzez*(4p~N{y0|%Rh z6W;M3=#v|i&YBr%p(55Z#KuxrZUBD`)VX}PmDq-H9R0rdI^hQw{UY?1?ECKof2Huk z12U+}$vwL!UWadv{prXT+s}HvzAhyBzfB!v&b#1!3MKI#V56)0JHSsCoe0j$`a@F? zd7Wo4SE}9BB&|DM1(5}|Aq&n6<7x{#M=7^|Upv(+9S+xeyd3gi8Lav^mDs+&4gEgj ze5)Tf2o$o}?~)huZ|QvG^XSL)6|cNaqR-9x|6f4foRazw|u2>sua=V@ zRKKOzS4!>z=3|^A&?*Ia;)rGa>IQh@5=4I65Uv-_OAH%7!B3Xl)&QIMUUOr>Q{r(| zbf|EcOGlfjQXUd(%0;MNArU!yBLI3Eg}kJp*Z@rol$`d<8So+CU2l!~4*O94J#Qgi zU-mkXZ=g6V>WY4!^&yQ@Gt_qiKQez0zd8~`tOEav_58fAPH-SlTsB=pz8K>TqF%bH z{`f8KV>5FIsmO4Z33*l2tb_I7;%~yFP43NV|$%ekWXW ze3AF+0~t!c|59}hkNQ#WyOP*fVyxH?{(0#~hG744C8FhK>?_wmu=mGoGt~!$HoL#psCwCyfk^>?C2vr@!WIvtrqTkO#UgN4asPE6=uL)(z%D%&)Bb9r<$CX<1qULpo zaxI<02{x#|`oUh^W*%Z$~xB2eMJA&SFG75{Yz0>GIcMgy(G#GdM zac`#HPamU&bCH}2T@@RR(o!@x{)4xE?%;9o$9!m=Rk>r>hp-*ZVoK56$EQBpugo4! zY?m0d&YrjobKjgu*v>BAjQ#;tH|l{K#&`&C{eFZF?h99Ul}^~3JfX;iqLxp`YggNokS5k9t(l|Ji! z|M*HX{mb~q(N~R3G@#euujO`SF!Wz5f5gITkDu(J>UDZ;)M0^OnGWP|c|zAKHOmq2 zH)qcosXX%>SCW{rir~udJKrjdxSegWBiE4J75F_p8QA#Hn|LnmSk0vK5bQY;utrJF z$2o${F7G0EO3cG^MUDoHo2`+%%6vy#%R$QRT;?TQ?VxiB)Q)+D@zL@*-M)>y#U$`m zzbZ7kFc;zp@{v&()c6PvBQJ;+`D?!2(lA<70Y*jaD_N)hU81w@<>9ZC9N0D6F>6F;be!{naqv$+V|Z_q}!|~c#HEQga2HEv9}Jv zR`qSqMt(dCX8sDI#r%MI+9@9%`%2l{hN6GLJhk~{8?mf*$w@a_z(Ce(#d&-S;X{{! z^=(7)&jVs4SIX~sfbMISV6VztZU-BkXMXB&^e@1>c1K?;I`E|t)cB2i^{&{fY(T%| z+Axkrvv8txf8CG2!CZp#3>rrf%REOp!_OdGy?X}7+6+DJsGq~Z4C#|1+|Ao2|1UOY)6mZ>{~TOQ5AX5=Hw zJ1`VF7syjrzHLXs|9&4XIrV?GOs0ys&X>K19){;7Uq%rqgUH7==o$wvEr?XTDfX3u z2bmQ|IDP&lN5YSMpb|>ns|KHsUZc%ai;Wsnpd0!GAayrC8hV%mT8oUcSjXN9_7GiO z!=YvA9dNc+-(?cZ)5m4FQY-%JVu<7zoH-vVxy7aa%Q1wbkA3BeyZ8r<_NEs6a2!cj zz2~WPy|2-~Y^j2Y)A&T{!@{cFeaN2cnOKv~K_7-Gr?QKezSFqBzvY1w^tJ34UIjfZ zW5x2C7aGDJ{I-VZcAM9;lGu9h`b!;g0~}_q+72(ld0}wHG-u*x(sOn;dGh?do(Dyp z-CaHB75HPw(exaVMhh7O4er0}C(k4Qh4+TwkFo5B9>Fihy4x}6OPT9f*@rkTWPetI z=sF4xSm_1pWzX7Z$o?t3RsjlV_^vUcWujwgV8~<_Dm4nzBJQ~(D^>w4xoKN#>wCH;#E`nc$ zb-};iHeSIV9|Hf2)Md>AglqY(2kN+92W|{;v(jw%Ljwne(hu;JZXRZ)C<8(y@Gdri zbN(X1B6+Eq!{8U=;H;ED`Uq^V1-=7J$JUMC8%Z2*dU2ga=jC+K1RV$nWFL-4qfZe5R}B1i@d)Ji?w$CVo7(AI=}5Tnfa{{)XPv~~_fjRdcjQ~}isApD zeFjP0I2ybdjOqGru_LyfIcLS`eU)OSR4$VzUNtzs%X6ApIS|XChrxb3vxlGhdkTw; z@odZ==b^r(?q${I_&JkUuKU{%k5B)xx`MPz`?@Jvr*`Bz)TNay00qc9c zZMeotm^Q)~oMW&L_74ZE`a#>`ePMyZ7eR#77cAyV5Yp2Ye}aF%Y59N0dVmiz5HV+E zv8QLfKq&Nw}+!{NB+pv4}(R|UM1S1d=2mbI&#qFaO8=@FSizRJeEg!?LmGj_Vc$lS@ipG zJ>TH@@EP_avys0?hUnA#U_SO=IRFc>-(MvAXcy&0eeFP;zqYXuIftC1F&#Weo?G9H z(Vy$vc%9SSylEr=Y*hm1MfBk~FAXsmtKT4*#17Fhig+sj(~)*mk{goa;q*mqI9Dn_ zKQ)-lZepG+@96D5 z>Z1hLXbKCF;IEXt>nJY*<}UE|B;*mXf8^OP!Zi9n$8_u~`DK4?Bq4bzC_#Y4Ll76wZapYP zeZ0s^;_>?+@Gd|nnA9g3eq=0kw_6fLw~??7z8Uz@W?sE!v}ZqVW2^eX28PohHW;;r zPo4W2oEOP~j`bwpT`+WmZ^^c-)F_+!{%~F-*WnlVky#j87_0YR#2rKChUoXj#|(Y4 zJ+N0*``fgh#LxX4V?<92{9@pcufq2P*TVGCEhFd>^5Z_hFLsjiGMB{CK^D5M2$Vd- zPt%d(ycd%S=#%%M?5uIcqB`5adq!;mayhCW(3C-EP=;^%=tH2&BJe1PF0&!5zY9TS zH!~FdKKJ#rDj?6D*I&0>wLd8pE55B;9pc5`)+Qy-$N*q(Q*M&Z3+;pD-KvayN;!U! zQOZI1)Q&&_wQKPtT=QAsuVkNnHu8L#8y{37O8GS9NcVHl)1$p^A3q7a3tl86FG+ae zlgw0DnF)|rPuWSK{2cJ7^&42Im*7xwQbk)Cxo5&uvv)Iet@;OHBO;q1> zIX~fbe~mr+YV^Me&Vz&})@p*6=&5IJOCTE;oUYNzS=nGAIWF}I4dHSoI1%H-gYH`h zQabR_te$SGL>{g~`o+JX@w$gh!_%e1gnNf7)YJ9cYeCIfmIObQ&>$ zjXwAg(_9vUr-YCYkc;fa_Y%A_QGBu$a^TkouY1s-8-~1xKZ8@`v!r(c_Ainjx)OPh zJU4W-)4Yt|Jc->#1EB-r=eGMohBorW zx-5WJVazfJTn_ekoVipyUs#8^59jU@|;=`&REIBs=`y~ti zZP2JF;_7KzgZ3mjjnF6a-0xA3WSRl_X3GE4G{+D9zW8ggujFgT2lFZM1Dv%Zgrg1I zgMNPr3nCYrX)WtM=(53U_2$Q*w}dX`*gf!+IKS?!Uvci+YojdtVm^3i-gwh;y04x% zlGf*9PvV@zqpxSzZlg@z*wM8J>g3Yl5#w=vWn`DtD3vIuSjn!YVX{AqW-^U?3ij0E8X zkGKyV3xinS;NHd{r6%^3_1Nh5t*>(KbB5DFZXdVV%e-juy+pn5&^OCo@7@iA<+C$} zS!oQ9%QlAV+y^<0`hFw7m-B5;d8%$a!iivip76y*8#!ycjabV!%P{BR zJTbSs29FJfhs97gj`g`8K&}W9dpQGj9R7LLOTgd8gYG{9$93Sm<@h1 z$B$7m_$k2S9AB5NIwkZm|D|p0KX;xteZ%^7@W$O4Ahf5C`sl&)<6NS*cfyo6*V9Y= z%8?1eJ&p{FCid;^+hZZdeJso=G(g45wqFYWK7&YaScu~hr-k@yZctVj2`{p%J7u!~ zw4t+bu>Nq%*1vCvyXL#6;XJcH0D1|wc`V1An&V1u$7T{z69#ofJ@x{B(47a(qVvrD zsrcQ%ec;Z4TByg^pZL{S)F-1pmwS$SjPvbI!2iPg^N5W;geo*56?sXBuV}l}8}AF& zoRQ&);_uE{Vx?L>d}HPs{C?$rF4pyY9j-t3ivh~-pIm}Uv2oAIlNcLX(Og~paDRPk z6E5AM=5E9~g4Nxk$%7BBEtY=8ulr@sJcI3UC!q5$#rvbG0fh8%_Z>grUBb6DtC^Ml zfoo+D_xl)d1fqZ8uk#n528(Yg82yWIETB)$=3KReK-rV$LAN7)(UwTr&)Qa42y0jj zj`IzkpPazHlGS(z+GWUG;UPGm;)k*XQM0GNj6Ue*qP)Dp4w7Hf?ho(|*nimHRr3Y* z#1K^A4u|W-ljOvV%QM6Wvn5IMqRs}9$C!mplfT4#41T3SEwJBbaLdtla$n6o7%t!U z7T8zHJPZ9k;syo>{1d4<@e_vR%Y8o<`hIy>?bP?3fgD3DNM{Z)({0#X|4X`TupasJ zbTjdo+G_(im0ZB}^3(q6S&?xjpA#xQNH9NfWl6BGdFc1~7uVL6Bp!1@2vsQjac_Cd zA-SziKXTpphXcAcN77(Em&3hj9psXhHR)1!okG9QGW~api*sRcUZh<>-mBz=z~@+i zEoY6HpoyK$6$}o7uu2nL;Bp>m?z_N$y^VP3HO)P z{KZF~2Y#|}BfoX0G&U}rt3gc3sL?cAxi-)(^SJy5bOn4p**T>V%r8)^KQQ?39z85m z>lx^=Sm%5T^()dP7MAFiQp_*#CeT$cR(6Lz88!rq4LKArWYT&Y@tUAqV2X0>xA=(e zxpd%gonKAlRbke5>-2O}Pf+w7;r`TtVPir+S9dpB$L+X#jDVv=jS% z(Utw^S?tSze;;yd`{p(hS;9AN;v;I@T6s42$HfxMFAkl_Gnnt=dn}rk!$xrg=jAZ) zZtiVSH{u_3wG;NNuv>PB43!-1Ibmk?<&=&Pe%~RSmv2~C84*iMK6R^7Gd+;jVZgp< zkX8L?*!TItkluKmg$4?MD&LU#=P*Yq$HL5?!Mo^Os&;4S`K7O16r_D`Zx`L$4|LG? z7Vk@;D-KeetLk?T#b{n_gLs<21+yJ=qx1Uj=({yZ_4`+XRF?t&q|~vUzK z-}Lr;xZbnQ$(oDvS1K)Y0Fev({e#TIeQIbv)(ZG5Sw}k6jzGO1Q(-Cck;5nIGHJ zm5y`1$HEYO2cL%)=cL{+j&gn`<|VQ(n+?7tu)XU}q|<#C=Cv{@-*!Lr{3ugCuTG@z zIcVt>czrD2A7!GRozSU5pZq=(H*Kny%$MIRDc18p9wvH_TIl!J@OvKzZtE}}z&pvj zYTAB_cB$kiWu@ z4DQMlzaZs39xI{w^_g_(PbcCjKBZYy`z=K@ONx6@8`B5_k1Dr z5j>9!3m{w8qdQ&t+2|pUHK9+=Mf~{AY2Y@3UtJG-2H|rczjCwpuz9HyEz}CKkzaQr zPaJUyIlBYJr*<3rS$W4EMhaK4c8-NW6~&15t^w)~l#h;jUzs!1Ph0_f7!Do;KbiH& zm*5wB2|cCDTnEB*A-lhQDotfP`UY2>?-pWTgqX@F@QdAoy!n?Ec?RF3gQ16km~Pcs z=*QS+GQ0!&efVJZ4~Zg%xj|`8^s=Z zP;U`Hl_N8Zm&$QE**A3yu-vFPVZK+$lDW%pgt3B?g z6aU-$i6-r1F;}X}1;Lp_?MLeP>0IP@6U}A*eZ4`%_w1rMUi6XuQ}9=^48BggXyO=> zO3=LkM~un^dYG{gB&~F!2|VwEo?PzHRQQp3P=&mti5MT;8w1@wY^FEh7Zd;1ux$FC ze-B69iLvOlmVwuYeL`p7H0>At3Js}8_Gc=m?0vNAc>Xj~S1!b7px@^|ZY}u0c)pRI zAikTDr>%sh{nh4t8}YR=Y+Q>Yeb@-em!Cv0Z{wzMa1!!{pC6g_Y6EB`O=HOF9| zT#J7A`*1$#{BX(nYz=)f+on96?9^`#eKMyWzi8}4%-#2&YolQdFdpDWoD=^5eV+Ja zdqQt1U!XgN@I}9hp%Kh+ToOP?i_E&7g8e@1xb_dM!ZGyN6H1R)yqWl7y_pX1zHxSh z^fApaU%7<*jW6xuD3)_Go(C!?`XO}9oD*FUc}YWCRO|wu8{?6iPR*B?m^$kmg^SP_ zeq_m~h3+(k_4IXvsXV{mn2&L6if5w=B(j}v;7?%=)^qUrS;Lkm%A`5z&l+*VO^D+KpJ)Bp_M_X_3 zrphcdxSUR`BeZoiDaQ=wh4bFNJC~??vwD66YTvu=(@n~4s62>R_F6B)OY(`@EkK?H zH@sQV#JHbDFDw*Nk~cO52FEIfzHuV{nsh^MDX(u|@AlW6;FDqMw}6k5ZC5|ecP0yf z-#4(|=kn%H==m$Kusg>@y#AjyGEKQ)=L-y|HtRk4lqo)h1Fez64PDvDido`Uj5w2` zxrbdaALTrUadS=B#?`ui&6Oz#>Xw_za*73`Edc+OLOH%U(7 z7i+WHru~=6P4yGwqSYrmIF6RFAKG@?7{Uf;@Ww^wJ4^FkHx5It6LJeewpev;h4aGx zcA4el?&^mi(=Ve1mO# zC88bWb3N^zA#(-4`#ux`d)Xb-W3Sne;RHPlKm6$TIfu@2DuwL%V{PuLyxWyAlJDKK zPCN-`xY{k{L2g8TD+|MMk4XM1`WMhU3(J2OrM#Bo?Nm>AF`T}{V#B#2{FlSJ9Nz_g zsp!UVJ{Y%n^{k6Zy!Zk3t`3mVxM1gWrqWW6Xp!jvY;AhSH-4 z5UBdXk1P*Ckx`C8OW__m??=DCzBLA@7c+_NMx|X{#UFLf6he}JaVV4|HsSGgLvqbm zZ;8(G(1fTeB$^8Sk2|73Z>!bRx!OM_>+cdMyg;@BLMmKQN4B-O<3E z>huTEqOvnBjOtgvA$UrX>s#MlIFZZz!4U-IVh{M1phm2E(6Yb~&UXy-mh8vbhdBfM zw(-!3u$`r%Klb+QBZ966Q`=pG;jhG0{Wt$f&{J`s^>&-i(a`S?<{P z?$gj-`>&yi%12p%{1py33(7G#-tj;=tM>J+!*w528uMfp7@A8cU#7LE<^!z-M~ch( z#x?>L{PuYVH_hp55>3CfM-s@GSc2^sih$dilY_c)1Lx9!H$EB{`Z)CaEc;v59e!x= zkq#yy#}w1Sh6&(Z@V>fEg!pK#rCM}v0-l-Vzd&!vyv{a>R$@8n3hXa9zHbTMA$VKYuPj?gs z_=~rOk~0IhgVFD^kNbR)VbAmMMIO|g2TZfd3LoJX`hD>i)+_dlC4~_GvEt8!5}tQN zb>tc&SU3cKC(p&YCPEJb!SH}p>AL?1Cr0K_@V`95nA~qsqWY3@;3&qpYys-Ep1eSO z7Diki{u}EhIb^}(5@;L)RFPlFadx#vfh*2^TQc&J=7D6{&4~oB2_G4cO9r;`CzhRd z#CaK51%+QvciE%=_PGXed*s0zJ=#(C+>hN$Dv zC-e9ua=6TuYY(&6ejfa_W*4n{TP?Jb@YPK@2J4RdLDwVv^8w-VJ*-z7JXk*On2$+5 z!az^;cdV~Yz}ifl-4gs{Ud&f?BT(vAFNQ8v>}Sx!uzGYzcj!nsM;dd!H7xW)zSu>? zScbY|jtu$aRrKvY{toiih)^1ZTm(}xI0dX@Y8IioaQG|#fj#=IHJ0wMaByxQ@z}50 zC@XP{{cG@4nWO58yd?hH^v}vS_`R;0?xu%N(8FwDP)ILV;^+AFt{By8q2F)C{{HY=Mlu_m4kr=2vzuRn|Ao0b-zKZxw0jiC zrTsM?Jf-hXgXmirPMNUHJ0S1Xf;uF>D3y|`+#MT;eUa#1%My*?{CLbO`bvRoC;8{w zcg4|t7{mh-&2-@;FYvAyZ%|e>*k;z;-Rq%RXU*`VBfnrXUGlZjn_sp(59QzO#orhW z@Vy$yM+Vk9yCryi?7JTwLi18F;eCPgmhlBp2RVjtqtWjRcNTdTr#Ywgc)I2kbT<*> z>x!Tw5x&H}M7^J|uRH`ES;7qD7V!bAI7sg^@L|p&>jv3Ht7ri`Ko=ObfAoctqnu zgL7X`C<$jNx>Yf4m*9EX)*roXRmDaRRy|BKJm^Z z6ETjv&^3+NUNXZ1{|gsni!xO|cr#jb|66b9oHZLfSlMrt^C5ig^2bB3Bf1Lo?L7Z$ z2Ys^W^-__K%=@L+J|yylnaF#Ef9J+kd+E1IEyex`@tnJNW1h=C(8f0nmOozm3H&~A zPP@-Uz8H@k#{}s-wzM5dZY%bcZ9EaISkg&26pP?1z78zn#z@i+OE3x#M z=OOS{GS>6?S*z;ja9^KBu7MT#$cxwVhA!U_PSH`EmmBu$3H)Tq8O6SGG3y*lgM;)E zPDAi5Mc=={fiSJIeQTF0^X*RKTuJnrc`>vAaX}Z`#uMAjcBbDHzq`i+@L(B8{33|@ z0JpWTQ!+)ck@S}+LRXVj%Beju7U@RG!E_gfmZm=@Q+7o-a4SQ9&N1{~MJX4d0jX~l zyi3Nj-M1^LzNM#enuB5i{}nNRXLnx(1mmBQuBb0WPjf$%?(zM1*iX5|Engd=lg56Z zIna;n%4yzumyxQs{K-}MG^;~2CmQ{}=r3F47z4QPxE4uof5xC-Q}MZgPmDQJ4b0$; zv(fpUw{VPJ=YUVo!JODvvaI+L_Uy9nZ8S*ggs-=IQB(X_S=XRvWS!aoa84mKZU)X6 z)HwKr3XKgFogREV@1(lgQs94KE#7^OKQWHz*f!L4Tu?1{rzinBA|DxT>-?l_)uHWn zC*~HKR+xy}ptgbFjY}|cp}{)TQ4can_?hKmgiqP@otYRPQyqOtIs-4;_zNo zR~MC39`0$-bl*R~-j;<&g^&?iHs6FVx;o}ePyc=~*z`oXc^N2n-} zOt}Vg2z&j4y3T?dXh(Q)PJ9pzK>W>(r+8l&_n`8>wXx%P`ozF*VKxlR2a7(*g+>MK%sjE z;yl|7yy-~SVNd@C{A3<0bvJy~57ItZbT;lL@W%vz;6SZ0z6`COs_)zxR|4Iq(yOwu z;{Wf{EnagnPv;r4v1t7CAxZP19fK(q_?(JC$-*7Xm=Hy)7);fWfe zOuJAf&%u7pn+=XXL{VQBh;||6ZI_1ce>a5Ln;g&yC8F)MuqfYTe-Os=VH1A;LMyeTbZ7$;Heu zWUhBKQn}! zeL>%oX$C);WmD4=Xd3LGgO{K#0?qkwY48}um|1AdMZeqw`ee9*>y~Z;9aLEWHgEc? zJ^+1?(*Sz!-&eA7%FU{7xka8Z>k#ktF-+zoT!E9?9$#qh_z?jCt70B=Si-G-J zVuZ`}x^@;hKOGe_9(9B4?*{tFezYp|2cnxRV94{d{#F^l3O@ zxsL^iz4A0)!!HJ3TB{dUVw_#KR=I}k!=c+O%>%Ks;q-6=3^3r(iykZrekRxi{)h7- zIqSp0Ex@(p7j7%w1G%ZMtUr9)(e+PtdL2t*V_ub~d3^sw(-Y=D`UZ&qX0H$CV^u3R z$@|qx8T}sB1!TK z(Z8JE2tZS9yf4hdv^r8sbgBDAMh4Yj&;s}{qWf6_-o=b=%VxKP9~tu4jIIvEuB@12 z&_giS_A6Hsdpr7<_H1OY0X_`$stfnrG+M(x-+gbAa&9*T(KN)n4nn^#xNzuP{5xG(s($dLJd2KM_;U=$i!mS%DRbRko7G|QtO zLo97ldI&N02jIdYVNLr$Dp0WQBz2FZyhU_`ML7oKzFN4CB|J^!>m=AyH zObI>z{lQOWUebo@1hsOvD$Q*4c^(!URoo=ctGi1yG54?kidd~{ptlsi7kIEYfk8Xy z5a-aif;55E|K-DYH&m5b9gg80~Vx1oOlPqFcIOLYg@oMiO-a;;W2QRahT z7hQK^4uFSv&zeN~0+`blfA^vK;M;ApLZ8gPxOZWM6qywt@xE~GLYu`2`mc4ORi`!| z`!iWE6d1Zsb|P$9Xbk+794B7e$Deq8<6*+SvK?;h7~~_f;SPG3I0z{}L(eaMyO!?4 z!RrehjxXm|;Jnz&2VY>I+nnYJKQhNWjD?<`^J>4m2ww=-$3s#ySMswrv8}yyP=f5w z9H47C&EUo3@NeP&c4H|1cbMPtNrBlq6y`th`q^D8WQMiK`O zUQ80+T+m7Q0$?aB?UGFIe+59XM-*{fKw8Q6%7uK2_l5Us;3-MYO6fF$+R(L2W$QGX7Hz#pkaBu=*%`}hYx4Zu^M1O|<1upLzLs3sL{$eopm5fuI zc)Q4uz3)R0TF#rP2IVLMm?t~%Ek#e#s`$^dAcQ#f=h>@J3R2LkkiJ}G>vsZrxJ#Z{< z6R0LQklt;OC&zXJ_$*E|X9H@1!GD@Jmz>A}d#wvEExPx@zVaPnZ)+|H(|dT4yK;$= zoJHqR4tz`A*Y!2K6V#c0Ww7^=edzaTa-WuKRbcR#tNDpclKt3|XhPc0ozN%nqq09@ zN{a07Pc`&W-h(NDEm)eDz(&_Bz?>GkoLOU1BuDr`RbK*x{zH{5!%2Lb*X@a^ z^dGh*N*~+yAoi2oZ*@Q(AKKQPk(jgby>TF%Knw1aaT@+Av}r#*E}=O|$a_tw2eJ(O zmAp?1jJFA=>$C@W<1F0h8%>*;&sGO@g%l{*SMsqb9YbEo??{;xKt+)-ghkpY2Aqh7 zH=#>l|Mn61E3ua=xzViigXIy#GO10_8A-nMzs31t{{_lD_wtdIK$-aZ0P26{{#{piS=sO-b5X%@le37bi(Rr@w*ZmMf zzn~yUYaK6hnYK%B8oSu1@H~mQ3=Dlx%mF|@KV#_PNhhJ_m-@ANd-dy-9;{qN@RY_VMiL!C`$XMwxl{N=*fm7CZ%KZlEiq&&qeTY^I|Wn z@FFF5;urW_YVhy#Ub^^dlICD;%ke#!!wT>2VWPg{J^iQ-_?(l@f>Xx13vPonH|Mk$ z9lnpk?@l#5uR(u7&iqX+_?}qkf5cyX_SeFcGj`Bj z>zmcix<@i+6JtH6fj2JvB>Z!QV-^IS(o+T=78)%WB!zyBr`MBf#Ym3es`6O`8txeL z{uK4q^!Cwv4tgEd2b6q?+#%R?zWpMbBnN9v3T--FtH`mFFENgIeFpANooxLF6%-f?MS#i1)hZEa22-&&}Cy^ zF%5eD8b3ugw)Sz;oXHWGivZ`Gm=H%uAMtPT?QLTX3**|v&`&%DIvGF>G3faW{+RF* zoNcta&3X5q(Z@1pYs^*b>7d(=zZ*eg5x9K_{9W;9{18Wr`TcIyUwyq_*+|9-sDpTY z7*YoMIWZ{b8&W@2uR^t!5BJ-CI)lDp17TlZ0tGwXeqb;)>jDS;5Em-50}j2~6?D&5 zFI9P7$6RU7FPK!;iPd_%OFXrH$B79yjAK0Lf!>(opTBtqTgq(%6Rnq^83JkpM8vFTuF0Kk?$pImK-}0TqEYmB2yS_rsh(hTv6`m zax*dh?EL;vn!p3CY(IipXu-1OMMh+I^Su5;Jm|ME71pLbC`-G7VdUGKDZjrG_Bj76 zOH2-td8)(iQ0?1?^@N?n{zGS80&w03SUDALhDqxtMp(6wbo2)yPXajW495hkRc{KbVMZ zi`}x*2x>Fqel&0+CT~j7oEhA!GJidV_k}q_ZA%gCbJ=5-B@)~2d&4g#F)fyx2J^O4 zJ*{+zIl$Awhk3cGQFoJYk-CZXQ=Bw&~ulWupxCZM=ZHQ(Zlam4a$gjH`55{n z&O;Cm|EyT5%X`4Bfz%JOnERux#BIRjBawt}$v0aUf_EVUj=P5Ze$yOxuT>KQ%t0Zgg1@bJUPkRskDjRmdgT<|K zu*)*|wYY$XfB$tb7Ivv|B$$QXX3e{_zidF=_``bSnaEyfbFqFb8hU=_r~dD?@rBPD zyKXTa#Opryl(O_Aj0L8xs8858^p^{D#JubI;9~yR0pzwz@KTN;xhr!cY3(BjkwT#7 zcN|{VJS&~JtqKRPPyFXNFWr~T_F0EK3*iZ(-{+jqxtS*N<6NWX$N>kxyA1R&{CTcJ zzt8i^Z>mO%uWZ?93$bi$$Ug0e2V_^XN`;xboZciLL)IT9n zxcIXsgL5y!p&Vlr{7%WOtW=i;k}2VO&;1Pk7#pQ`mky9Ap<1ioNA7g4?2klpPr;zBIaPe1SF8<;e{oKpMQ$P|6 z?(>ZCJkZ&eM8Y?mgj{m=!Q;G$52t1nNsPgnc9JjhEA%k`AZEtEJix-h1e_PBGQT{7 z^CG;p{|o|6^W2|npdW*Me(QNV<&=Zh$6T(~KHw+enJw#o+2Ht)?9FD)zr3t-cWaiP zauQ}28In)4$wTrOCmb(J|0{Bw7<(>LbX3MeaMpN!6A3*(&-pKgs?YMbYsL|-pTIlk zceu?ka4n)B%vhrQ`$ArF(mJTtuL zd*;o8rzAZ83ehrOZjSy_{HBW@7|)7$kb-?B*2aIM-I)c=r}sd0%YNVl%k z%$!IqA?weW2EEuxfE&-|7)%KsPfC@> zu{y2eYxjE_NuKlDHgpB;d^qNaqU+ojOE&fkXWuf!*LVUs&p*6c+pazGED$I%5B~jX z2&(Hi6MZ}Pnahy>f^qK8Q;Ku7hDFF+I~e=nb$tJAj3xQL<^s6rp=XS9X>3k3RH$OJoU|)%pwWeo};=I6UvIg~7 zburpqHXfl7j5uZ19P?+PTF)KuqgoP>^xBa9*ewtJbL5oOb8bJ9ptk2+Esm> zUAKVO$Mfc|2GQ?q+r_?8bm)I1sJ^TN?nkZ1zGuK2E}(Q#fDf_c3mNwzd#DC7$a-Zz=gBR~<<(Bk1>qXt-yaV4m9Y&+J42)Ch4P3+NGhjJ78S{^hVh$J4vyhYu`UA^`|tFHo>9LV3}n-yOCPYIAFiedUnSw;{SXJ_{r>VIW++1 zg%^x#Ro~X}HRfX+yylp#yu~dkRFMbKzP`HOE*ehUKKOZ+62ICk_>o!O{_KjCeqf-; zq3cE>#_!{1Syd18CS2z%LBYh^rgOf?@5S27{M3`M?O*qPpA)eSybSdG;x&L zzsMXi9eNnfH^3a0_p*W5@4Mhw1)T^GUEV@){aK&dtr6-+4%mDXN@F;{;GUTx`C@z% zK^NRHF#_*Rd=cH^=x+vQ_v$bE**xgh7;m=}x?uL_n#)?X4sMojj5T2rSh9-f7ygHS zU;KE%zM79WI9Tgc&`@X6{f`=ib=@cM-JhCWC3 z7fwV=zK1Xw-&e--Z`fg{J~Hep`Sf^t!%r)q_{#<#qyNyqSgRtj2>wdZp$+#_pA~pY zk~7)ML-P=am8EGAIBZ`4z7S5uu|HiXf!8fVL-hN+9lVSJHpbC*`Fb;kRy@`B| zInlyL>-;soUlOzjpFLx^Pu5VKOV8pw#TtDHl-TQsY7f$!;1}-Vvjs?umK=pJ9rH2f zJ$${!oklTN^t?%R!at`G#{n)*Kt0Czo9oc?^Wf}NH1U`s@ISNY#n&!Mp+l_W|Jg_Q zEIVfUnSv8vSb{mNl%Io}&2@<$W~|X7O;%-@0b6xzd@)i^5!`7WU-A>n@#Z z29M!zqdOz8R9Pm+zF+hCy{`u(AI62?`UYtjA$`Z4(&*ML8U*v8=Q8Je&C z#7Fn9za#&Jb$@k`|H6xb;SQA156(Vt5F_kB7ca zXsCjPfHlNfW?1m{J7PXQss_>;SPQO`+kS&mVKL7?ED zT?fwi4$h0byJOR7?%r8bCKseDFB9*M{M^`AN`4K_OK0%F_Sj7H5Vp`NFT<#abq(XZ z#BXk!lR$OZ-%ttf3v%WrW}$!K9MWb522(X13!FqB@(8*zd4K)k-;{pR!V&^m9DT!}sesP`(_WQ6! z9X*MDpY?Z7(Z4X(unzW>l9P!2KJ4(F=3TOhZpI-lg(Pngb0PNIPs|=pk@O8>8{+RkAGQ$f!TE9laxOl#vPoUqA;LKCCto3Y^RqO90D3H&h*06eMtmlpG^>Q8|FN#=Hok$Zvoow_gb4as+2>`3+( z_m4h{e6eLCE#sZA-xodNLCpJj4{IP#oDHi#I!JD6D&FJ2o5NA^)`d8y;NSV++3-C6 zeH_hayh-2d*Y&fI_6`N>vS!Y zSY033>$=g7FGx!ybwMoT*rC`-y9ze-XvpPPKMJED-`p4f{OEeN{H{S)F#Z6 z859g31E0h5==a5^_`Hqm8{WVtB=5`VSYqEs=AE0yk=ucLpX~wfA`K)N^!vPreCcHq zf5x@d&_h@7J8=+m(vhQ=(cL9xVq1FBXz<5Srv16ZLR(lbaXgls8Nl-{kV0T|JBK<_ z>0C@OJ9My&o+%W`x zTF9TL{(9NieDBYh-{bQa{!LM+=ziB1_|%0rmgEa^9RGM+Y0xjw zQvyT2<%V*}7T<(^j00HRkqdxEJ8iE?x#kT95#vbx&w0@=(4W}uVqVJ+Sa0~x!NE)3 zVWI2rn>{@7!0_RPQRf=67yaxAeKPkuYmhINc8(%WhS3@p?wxX1e!w5jnk(5So1||< zp19;AEHJ6x>VIj<)%Phd*u}AQd!}+cvA5uRBl=(H5ZPe?-LdG1I{Anm`ZVfA;lkdq zlEm!3w@I#b^|>j8E#mTmR=(o@EPH)8{nrtL9Pd)Zsa1Cm;C*HP?RxCV1(ca>h#n80JXa?{oiK`z3V6u)){830>2)huh!9nAOr&)XYWPy>Q%3$%KgoS|5e*{T^-=6dEM_0Ot*qF^5Lx?fI8|#D-%hdMY$uWkqk$zt!;Ti5Z zX}LG?-1<2D$R5m1$M zH_Lu*7QMG;Snv5v7p^TjZZ|T+&+9V>0(17(#*p*%?aFz`w59 z0zWMSu17|ai3Nf^yvcxVqTk4Ll6N#WUH5_L_uatv3da6L^6B69A;uVQhMqs`ZwO&u zh0%8IQ|Eap*AaS4$=#g?PSE?Ub$_{uc{0zlkzXl!APZ_p9?rJ^S&8wPi%$5fz8*Qt zqEA@sPFVl9thd*h*k7<7`egYyo#4AfQ0^0xN%!&Czm$}}!2^S_rGD|51gcAJMfeDU zF=)!nF%vf#i@<#`{U1^19pCfWesLiPL8BzmR&7d?qGl!0&s9|HCXo=4$P%G4WPPOx z5g9FN6{SkiYSk>QJ!%xSSAvKbDY5t7{LZ=VJg?vL&-3cjKAQ3UeD3?Y&N=Txz`}dJ zy07n{epto>KEECt7B!`oAWo2=OOBRX5|yf}daYv0okJCnI%kw`-Ja_C?P|nz`pS@>$q|gjErl z1kA}_c)zpWV*4CB>CIelcD&{)FLcV39OnIo>W_2b3^{4@y@j03 zA=uY$`VE90==)guMOc~O!*t;b;*#|r`*!X*o4w8DED2%2czA$($cxQn{5dof=V0Dv zer~L*Yy{=!kN0y;Kl>vONhtTJRR#A%9&fd8jug0?KD8!ZRKEO{lnm*`K|^*qHUv}qrC=_{Zjzxi}_ zO6mMrBIX>MutkENV~BvQB`5>HVy@Ui4Z_#|Az!JyDddqi1o~zVD+~RF_q>zA^6LmR=(ctfH zKWPN^J?eM46DGac1HHlD^orDbY=!;=1H)-A<1;_$U^rx_kY~89AW0#UEb1V_a|d&oJ!DM@p5(Xo=4ru1?c-~Uzk*4X4vk3eD?_Yez%uc+$$c* z$uK$d?_&&y`)sDks~~4Qg^QquzQUTUtMDiDdQ{=>Y~A1fdNs#zrpDS#&h|Y&(?hy3 zMLH2cmS%7EIPe3lMt!yGjBMkZ`1hoR&}|$r> zn4dn9ZFr5~FjT{S^_?B?kBu(lH)ms%oQBQ)z=kZd=R@DCazXBXs=4#5Mq0bfd^NauUQ9tm5n~A0;9D3!cc>~_A z2dTWiGW+$bI0tAHnc!mhYc0UP_Q7CR5FmSK zyt@%@=7mB}-6OjnbQNb7GezVY?g#k%{$-F1T#~N+?~B~fmqb1^dYFKJvR@1y&My8s z55ix9x$Z={u|oT9!5=ow?|Ae@Zy176AHlD~9>lae*vo>ma}W7S)(j2;KRK=q45;ws zYH#V|6#0P%51tpspKoH{!Jbyz`fSk{?=bX<^V`Av@)=&2V`~gHJgG_G&=WKg03HJk zPmj6^Xj?mHpLf=K+b5|xn)m+o{dOiN-345BsFZK|#7lQI*qpVZxo3m!s`;GUK9wjc=>(njEl9mK&w1}6#*qad?q`CMd z?Q&#OcPs!J;Jpr?$;^jYMnB(HY$+%4mXq%FkL?(3dc%-2)%{NY5aBrcM`t%PpH-`( ze65wQY(}Sufq#s=-zTwx5{7y|xQ&p_Z;=RHWcd)ZaWzSZjo7#pz8bvN(>lW+#)8<$ zp@uim*+VGnhSeV|vndZGBd7C(|#`74LECJLi2wb27J) z7ekM%U4MV+AGY`U$=%?9vA?51gz1Ag;%#z6c?o8pfqf|RF@fdKhpNWg5~~q`SvOpa z&gPpf#7*C;)z9c?&?|jtRC(ZO@@-9OY2Nbrq+Ij)gYK`_w6p0_0Rg8515<_ewdNN} zET|3Flkk41!yp85BUle#Y5T!gy*IbGU=z)Cj`G$1rfB$exL(S9CrAAXe;|*x06N() zaLO3#DnHRr&@!^RMhoOJA*1#iZ!d7=IDS(x$@Cqb&Q@Oe%a*4s9c%vu$D28iR)d8# zDE;q;NNX-8c9!z_E8(6BjL3XP7kL2^!(ZdjLrMPf$L-`T=7|QN@0I!g(0Ica=y}!} z1-#&2qYeEr@&uE~*TwVlFXA0R*TKE54`O(kA#xP`E*0Tp)w$at zUh1+C7W*;wk2ZaXISaU=sW-rz!$8vzJ|*0`YJJ+E*wXy{Z`h9kOEcbowAnLN^b>yB z%fN9xT@S^O<=xCVI@MA6#>1A_DR=$5v{SId)VxPhs>qPh%3I(wzO{R~Yv+xBWEx+^hA=a?O!t?HEQZ?h z$YOkATauUbQ{ab#++}ap@(jZ%Dsof*Q!?fk@~Wc##hm!`d=Fd9Nt2uTF4}NIp;v0o zZz8y3>*V>~5kCoxUD$V1>B&g>UX7X;Ebb$3WoBqT`~vuQfUHy>cLqKY;D6qZ zvza{NJHDcF&sPbCleZ>Y^Zu^5kAX6@W@je!x5$GbJ)!Tb?y@Mw^jo#GR~}}k>4|3U z9*2Hn;PK)^3oQC>0x`c#L8{=7HIZh2bT3#kILJ1$GxOc(uA+KMCud<#&G+vkheAK* z`L-s14vvn-PnW`fuSO5}`MG}ue{2+kG){r?H{$HYU2>GW?gMU`?seCip1EP0Gj$L0 z<@_k2J*74Bc^xVEY>O++zXgdajv22aaG+pwIDRf#dn-oapQGLLTIXU*^W?Lf1TO8x z=Tb(Se!S{_QcUg_@|Bw3!hVeYq`T;|;J)?awea)P;Plu{D9?0W5^H#nTF-Xe=R*ln%&38|a zR$poFfj&|f#>6kaOVho6NtJYy6W)X#Zu-fPuhjPu_?E=R-~KaQ_K-^lz4EsqZ>=f2 z*;{j$Rre)G3gUlranB$R@DKRL5ko{Hc!{M3m7Xs8xvJ-g9545azXZtryxtK`o5Lj> zxRe=7z<~jl=cL+AUpkZJx5sAc0Jpse*J#vujF-m zCi0bNwRZk>fW0sdHg7?q_M_&&7e5y-rt_jH$CV<$U)`(TYY!}KNm*zVsd9t^g(Lbg;Du@5G zz2LKx-%!Wh>?y$;=bGf=TO+i$HPP2O^gRj&}_7%7v)enSUwKhrrf84^_dM{# zFK^6{u8om|`6EVvE&B21Q|MK+$<0OIEBV45ef9pn?570bvAz-a8rp0tl*<*m^T*7w zNf`Rb>UZ@soPv@RVZG4&8TO{<_Hd#+`@8oT8~XS(&)MaarM}Nq@Sy=`@X8f^csv(I zg_Lsb?BpP*YeO)q?a|;ihgtd29{zhMtQ(%WR-TchYy<3Q|XW>eK zn-E*E9=yI6z!+b-j{bEP@A`ue!QMdd#@$@hW)pmUqYYO;;G|STYy0GF~8{N?oF7ySPh~H^h&)Sb^3pQvihH`N~V9PDe{Kw z6Lxjiy!P53&|gX5ORaEW{n3r*CoDa8;3rzn!TEdSsrZc?Op|`pkKm{Lm_pWVA92G2 zm-sT#>`h|*O>fcTbm@C5|K1OuMu>w3`n;tVav&d6PE@|w_(d^7yXHLjlZih*k^wFS zivv!%nDgWd@JXS@u5#>W_(X3<7;fTYPvgI?UrW#Ry0%>HKgyosX*fswkn5xYwMVMV z(E;(a7(x&yh9cd(_Vr(7Uco z+zj3Y^7Zc|`RP4nSPh%uVXv~6cd3&CJ_hk#l1^{_aS?qh*xd;8;+~>C* zZ1T=0LX00E1NSk4YpNm_#0R5>i$J#eIBH6c@_**HY$uJm)(?&m*1jg8$3*KD;Det} zek6LH^O;-vDNuQH)!bhv!A?NH^=d}xOrUJWJ`Tk6}o=Ok8{CB18(9BudwgZ<#_0!#<-^7Te45`j}MEio7lpJgLk3+ z5#)ltj7Oty!(>rkJaWeBXNEs{DviYD221++r>9$EKgN4^^>mLp*L6tQ=rdJB{3**Bv@A}JR7L}}q9|rucUopR^e!L0$F+3l2HbXy$ z{i)OC7@^$$)HPe$u{gfvB}?anrmkksK0I4F#wVno(XG8Aq%Qe#6};rLtP6X7@T_IH zG~o3q2YIxo`fN5HOqYJZowx0lDsZ!c=!;&N+3L?L+{Bro1iTnNdV?XJh*LM1yf3P2ejj&Y@ zd%>2cZ*$zodLSmZa7wnE121B2t3r#ogdS12d*(kcV}9YfBd;d%`|K?O4;JYI4EkrRk9Z&)h>yC%!zA~wZ|Cr)+$cY@5G;6%0%tMRfR zTK9GnaZfH_FGhuP*5rc?$F!X4B&>_+HyrsF_*~uX{iGTL58$}!*Vn>LuBbrdXgHwQ zJJL_v`@EZZ?_hpWeG>D_g@Xi}owg1l*6WV>h1Zn&e!()4J-op`aXC{#Es1L^AY7|bKb|EWe@ntx{t@aPup`(JTICjt?Mt! zk;d~*4bKZ1&If5S5%_|bc4K1&greogbo)dcS5ODNA!e6tGb=uuX<0p0t z5tKx9Y0(h=F=B-_cQqWXVa~ESV@F(IQ@rP4$G5?stXwqcy42-gZ^h@Eewu1$E$!t! z5o2;7RRV>0?5*8$Oz#cmC-#aJB3Ir9fSAHvnNkca-PbGOPrmX^^|J8msZV`#oP5s0 z(z-#K>ppf4y)`WE!26m0t}m8liRsxYwr&w11wTLNV$I%1-)m2TZXNw(EY^LgH-hCK zR{+VePo|G16#ZiCQ+ywKC2fh*AGwLXepkhc#&;@>D9vG=v6wHty*^3&2yW~fES+(X zT&{|JaU(cSa4%%s)Vk6^X3#f(HB$6kMgL1Z7MNB^6=DQ;Rv9X>Z}#_?{-K!t)_>84 zU-Pe>pk?WNk7e;@@74$04=q;6v$);-hN`IF(dBzNHLx#0XU*7c^q z`VAENN`K({px^Kv@JtzxgkGUs?_@i}d%N4!(V-X9g? zWuh7~&RD6`D{g?RoP`O!6Z$LRx*k>g3ZVLLfzx5VCm5n$wcgnb#KUL8Wa~Oqm2b!ju zaSlACx?J4%5R)6J3=R|RuZPhWLjMEw%At_ou7zjHO6G75y8esV6<#8WVpe_7kSi5$1 ztYvx#B6D@lorXLzuPK+er^~Ng*n6eQ5$?lYlvs@aTmU~AF{sHUxR0$`-lkdZTVs`j z(_yPkw05q)uMpp2Tc03kJC99!mMz3-&wLksvVKVX{aM<__obiqoK>q}6V|jHEK}b2 zmGJ%R^N+n6UpuwSowEGM~exJNMtQD@5-_hKDl(^*vr=Opf@V?{Now#>$Du z96JJ>9EY;z``lQ2h}rMlLvI)XH?8AkKMi&nL2`$=LHG*by6o!k;ZXDZJOCd?15(A7 z=8E7?W*$!tjFu+!4`IMou4pLuQ1lNVkF5DY===PffAbVM3HEt^>2CI672hv?d&-e8@#3KNsn7ZL%z zQn7~c{r{McVjbv}3s6s5wc${CS1(+4f^qUz<0tWw0h@FYo)?`Hw&z*9SR{}42>GV@ z(D(nq9wYjszl871cZ-@0eV_TDe{jC20oOq}vaYy~DgXC^oAzi|7=gYd*o_kog7a3I zcltdXH~2Z2U+9m<{GvShtTb8o(f$~xBWb4J3G+*11U>F!pR9ZDM*e2L*qAPdLhwl} z8)5ncH+lk4hD6PjMwHu`ng}EL(ew%tSrO z^2f+^M*Y*GZS%2mV>=9~S8RsAn(nJ}`)7p-=H3n+1lOZewsyHfZ1t@}HW{f4e?R@) z`hQ>(VyU_vu$NcWJ|DaF1)djz1h!`jUu%P>6`0;U%=_N#?`u0)5(!9K8e;N3lW@ME zW}+?f$UE?3S-Q|!^PNv{AJaJiei-FZH;WPS*Gw%FZRh?+xYJX z4~M-6&@adfuQwfBIKu% zCmx2z&)GKf9ISQ|mGhCWR6p0tc+=ZbtH^4=;^p~CQmqFFWgVbG;_+H|c6{Kxub3l)#qL1s1szOQ65#@3An_ zaNMtBu0^e~(`R;43D}zIbGn)wZ-BG*e7RQ5QNQ!c6Kzf2x_pc@g#Pm-@{o~hCgYWQ z#_Gua*)`xDVoa%brN7*s-PrC!@RUZ3x-~oMOK@x%lwF4RCa!hsHzF@aL--8zi=obT zA^4V42;})OPG;~RbPCd*@#%Q3Av2`^y+2z0w>M^HNh|GXDYp33bRF#^#GLek-*O%O zMNfRqJz;;aEcyT-wN`Fo{7jB=0YS5xLQVnC?$&;ZIgS zVK(L$*d%_rh4Y0)Xz(W!SJ-!RqM5sEV16Ml8G7Yb0uo<`8=n4FZ`sJ+ubt?(XA!qM ze&3kWYQUe&b#2pIB^GG4zYZVbV*J(c$tYK6YJd=r`+Rx0c`t78RKG^#a#vw3XkfKm zId}{=(Gwnq+dDj6XnWg@=cP0Kos~;0U-FdEFQ(ky2<)+uE17m8Q*cWCHYD06xQ!-E z!1F@fZT&EN;o3B4R-)-e z8U;V{XbSj+7Vl3rG0!ZbG0%Rm>B%S)VtStk*qL4z@L|+HiRXnl>h8631nG}5wF=sr zeGT+|%~vgo6WTH_Up!;IECa^|^81hH!m0SAznRy;8|Q28-q+Xz(;xj;m~tg&Zp}3J zvtOfx<8uql`}DKETplOAmVuO5Kgi@)!7JceAQ5~>#hNbp-#xk5`kA^P{4jvU{I>7w z(MIQX_A~SI<6!xW3#ox_^3V1pSVA2IrB0bYuD6Lk*VWvGSit!^Vhw*1dL_??_zzE8 zs-vP$T={B&;QS-Dzx%CZdi=g1WT^k@{SgjAF}{&9Y6Ry`Ya$9hgArd^ZbQw@i)04 zG!PV#AAtEq^Gb&uOimH`ss7(10QZ)=$#rIgnjUfN3$*6X{-mW`H}EYJxZr?4IT)|A z8t^AGk5twJIy!w;`+YP=m05ti6!q@T$U!3*7k@lm9H`S_-q*bC8T7v}=LR0^`@A>y zj4?dzIa$Jw`>Vo>mg->RaK3!&-1ZdoN>J{$Mr{f(`O>^_`GrQwvz`LAb4l+luG$aM zuMKz?lwHxsr+rv+(v43LeS96MHzMcEYuLA#_cfn06?-MjL4V%Ml!gqh%*1^R?~nIB zLVlmc>N69}eltH?b8Zh`=jgp@?RPd&3}+`l<&QNul_GVAmj8PBANGQ2bj0EPiL!HZ z@UHdq(D%ZgH1rwLhdd4bG37ye4mP>Lgb;a=>@{RTqMhb^9y)s)p5dR)<~{G9Bi@MP zHY(H3@NYZB$PWZ?SBHO$9Ik<9tTm7YF5inWy&w{(9GS-vIl4Da#a>w7AIMj--Z=JR zrr9%Ij}q3}uQ-YG1@rE|@H=yV(;+BG1_IOn3eV|JGzym=Dpe53t&X`;_fPrfEo^g# zmcQ&|@}$UDYHk_xzUJpX2r;=I%=^TCeKy%qZg)!h>EC?t4yZ$YhCVKW5^luGG|*nY zM!r(9Vz`efr{+MC*|#JI8*UNuEv#ed)f#y*8rR`ZCLjFgii0(GwGZ=t2I{;Te2^+I zw=L>|dF5AL%zBEM@9_NSed8MTW3X#2ITNqGlZ-*|KWQOqzQuW|59WQ)Y}Vg~zgYXh zFZ#=S1gpqnv)_2*B~YXNUp#b>xv+uMuRBIqZ}FkKyMXHO=g>u=CTH<>xbojlzjw+y z%Ki7cXv1fm>SK5Z@FzzQ#2t@&5C6r*KFU?hyPIe@W6}QRUVT4Z#<7PJ^ZwL6FmS){ z7GPP2oWQ)lsV1J(nK9=6gWrqNA?D#6fXy)czKin4t96C1gheXP17ygPlJK7~2aRK3 zuAG^N>$d&Hf4fFTCd0EXpu`j4d&G-%GDH zR^WDNmW+8{xp_XmW^aXgpM1KxPqI~4J_DWxeG^`*Z0ZB;I2^e`9M=u(p)aVwYj1Ky z4-(}&EXqQ+WXpB%pDzwCv~FWST6h|JS{i%47;N^dJ41x^+YO5B%$(B9TT-Z}R&&vu z#-6MkQ4W9Gb~2qo*P-Bm!XEZ{WV}HBzF719vsN1pe&~B0&VriEK$FML&QYG?Y|Q&Q zpS%uJj>_2bW92lkCSNriB4cqNj=>z?lMi02c&WhGNp6sYCw%hY#^*W07+Xf|p)wf- zuhWaNOdqX(u|=7FO|g^knE8C}Xv4W_OkKoNAPnusekE%6QBO%D8#9)U1&4+ z_Chz4W84y}z6y8jlXtT(+3vJ*i=1a9DHkoHW3b5qJWDdXD$Fn3qU|o|Ag(NsEkHjT z?w<>guPj0=}I=1Z8pV_r_!xF3D*(k9xrC~z( zVgI6&);Y$}Mns#>ZA%}MGar^_d<%2agxlILp!-voY_urR@Q&}B{+DGxrpr#mtpBviGtff^vCnd0Z&D98IAG0P>&qn zRk-f^wu-ZIQV&BX)%|~dTcaP9fqx8Zrlo=CH)5Z!cI3-NqU-f>6KbeJVBjAU@ud6Ng_w8v&7#=4}S%ii@apEv~{gQ1sDyyS4 zpVc5E%W$Zx7n`1ufld-n{jbYtql2R#If2F3KLm^Jo9biUXaDmjj%I$qp1uy&2OcZk z%${dGJ%5Ql7#h`r<(>VU;B?6Nv5wG+zstzUeiH{O*pYDQYHb& z*aUsBHMz*TH&XXSZ{I~8lzXWPV)9IQUR2Lcw-c<5)-DQ+*M878EivZCc-G+?3)Z>ZQyF?m8y$+hl(Ee zxc91$KCi%9$Jou6(ZU$YwpKm@w^C-M;o$T0eZMG8jxb*^%SSeYCpaJa_FdM6-03T< z#ppXN-Q>hCgd3f2fw#VIzF3$bqsf_nFcFRM*1dS_$ZN|5P zIhXp*tnn#=8re&$N7)NpP8DZ>Kc?J0_!8Eyc^9OFlNRUn>yr)V|2p)_d$4D${TKIi z-c#;;``Zd*qK6+0moYS2hJv3Ayu#%&XD#hj&4PZ# ze_&mI!IrLP<0iPrfrD_$6Mg1UqF@MIq&;H9LS;s7I7;s)7UwdvR`j8%n8NbPQ@Q(qjbg98(OMU;3yky`yfbCZ} z=sxB8)(rFf-gGm6e*aLz3pxqDzwUQWSgKdsqQ#ydWcc}256(qDGW?m}Ji&ic&sYUM zKkt{|p^_>X;S8P1t1-OQgFBIqG{~<`{i^pNFh^Z{0^d zFz>UEVg9v|0-7w4ge4aHKO_2rSFjg>f`Ayg`c3tJA`fM%e%~w{Iy95CPkf{%d&P$* zn0*1>x7>0UAdk%Yx|%qLltTkuoBb|b7NkgX@@5y=i;hV@Bx;^`F6MpZCb^ulHopAk z;d{_4RgZsnu;~7;GWN+)5dLHBOuy&zu7+ch;B0zi8|Rq)-_^E;_knp|V@&8v(zqD< z_^#u&cjQ<2Em@rMyuUCv`?vt%K` zf4_m(M*wT1AkDF+Ttj~dbgA;i(T0BsKfm_d%q+IJ);$aU7<2KGGurf{B4?^T<=g0c zW^NJli}JQI9EI1XvKwvk75j{8yPF=?L$PMh+};TKelcpL<1p_NCv*YN8P+@R zzP;W~(onk;iFtnx>e`O=!CqZ`_xajm=UR;CXKS^&t;?aOp5UMD{>G2j?6IZyRhN!J zo9Mr{9SjHgQHIHfIHHe_#%av^fLz>}@H|WyoAEk*(qd0;xmh^xP`ea@KJfr99x(6! zjdiepi*(_dc>i7>qw9d5toIA>l+*^gKi%{|xki|NnRC$PIDcJBkiUuf^u~PxxEUYx z^{S7je~I-8FsakRTtv<->o=qU@=NriZ4FS~fOP=eKfXWCc^ZBe@|6{kpLyOqSNGEU zTVQ@cLDm)IE7>=E{T=XjILB_eXnF-_WJn$h*`e<P}{ zouEB0M~@&60zY8=r^uCXFESZ@d|Xd`>L=VX{&ONl*jMpnp1t8;>`RnTJpO)|_f1b~ zp~dt_f9M)7fz=rB3H+AGKW4^;$d@Xp+A)S+ZEjs}F`!Ln?fprI@9`|b?={*PzES%a zqhmP53*+*0e>rPuZ{r!{5@^706DUtmT-zM;K7H=1_Tt}%8isbz(fGMrj(g`pCx9={ zL>W#O^nK;FT#S>3d|~+oX+G-}dI3m-sQ`T+C3HKU=VgiF51fiE-2*`1kAcmn2>j%} z^sivvS6>zK)oYaZ;3kuh=6zP|sNBIv1vcYj9O$mx<>60bg|)cvemFutQ9#9Mi~Y?L zwkH{`NouehfImJ7^SoUFNQ2k8cxg{8d<6O|6nL0#X>SeYeb6+27zTY`_Z`=vv-7_0_t=WzkJ+)K z(Zg$0lASnr-vWP3=NahxtOGkXHPrBOkOyF0bJVy3bB}}ma`7Dqrs#iBP9gkb!}&r6 z-%|6in|)*g_t?-YRab58FSp1gLS8HqamfQ^BIFoq4rXrhHa&iu667ZN9p9jr5%{cX zhmm_#ux5!hp1!J!E<*cLy)LDDSm^t}d2Ig_Ju-&FhP+r$EJE+NO5PH;`Hcf}&Hm*Z zPt)&=zE_=Bz*C}I?&pY0hBuy{VS3DWfZK)p%O%YFa9P(|yW1x0>-)DG=6&2Bwrorg zVyz!P&NjI`==;QKAB2C9<6pHHKjF0MRmmpt1Owi)7sh>CKS~sG%zlRN%=Dw5ve+`8 zc`n<`v%T@WAdb6mPlzzS^VVWJsX&g5JAA0z59c|nPpWQEj>*}8H?DoLc(3R=>=EBNU?}j%h(Dc; zb7LEYL*&oKQ_pk_()0TBgW0C<5c&mc2CI+DGI_90#THyV%{&sFBn^Gg6=byWXps@}D{i>+R+tFT}p7>l@vSe`+4|O7@e(U(X(?q=M7dboTImm1K0Z zM#0j8HFKAejQ^n!y+h<1uk9co6M(rhQgf!cHLxG!;vM$~(vhxSMgEr;2lQDe7k^2# zJSRUT33&e?-L8ZO_wzGV4e*Z)(Wqm?=5@KCpYhB^ox;S zR5eB-Xt)l|62wt(VwPCC|LW|bzPm->l4-v>_%NF5%0cfLKVPFfO`mk2t8$>`Tt|=b z72HHudKiux`YY*+|Ly!pVQo;_@Dhu+g5m8l%sKx#xB?ZmvtwL-UEHsf!)=%f3J zs}K2HI062tuDr2+C7_Pjm|v(5eu{9)GTwg;zI?F?(qS*;1u&2}<6 zN}ti@eRcypQ0|w&hf?lKd+^5TN4GhuU-HZ(o2+C%{NKc5bVMe zUKN^q<(MRsFTwM&058rPmy--1sVLg?F>dT2i2rTwvLjM+U!OZC%UJAzBCd{ z0)A2)jD_Vy7?(V^68A~wg5Wno>fAOS^Zsja@7K4CWE;x;M4O|4B47EsWC(4F zFFVEPy<#Aq7sgB5``Co`lEs&NglVVu@w~8qXEJ>G+8ebWa{+(_=LXtT7yJ&N6SSNj zK0PW$IPQCWVK21jF0>^|8}wuEgC9lp>K>;ooRZTI!k>H)s!7oGNYl>@UYF{r=og#G zpb`2jm3RKIru>U}z6m%jGhj!}KhxISYcTHz5Zss$C!`LayEtmj2S1 zLXvxq?g^&}`e!&dWQ6JdK41pktKjri36IiyPSOnUVYqJyk28E1%=?@0>AeJ=5@d~E zu7TH3zyTe;aboZf*DSUagOKhdhugJZ^!w1!X21QyS6&0N6}}dINdz(Zx|v?XSVsw< zFt->wuq!5<*KTr)wTRFw@j8i(gI-zxP#~;~XRNm&4=kLLWbQW-Z2C{IPhPPdNn!LL zX)o!i4yNY}`F$_?)ZO7<=Dinw7|?@*1HiLkjx6F`F+AtIXww(B3jDDg+?2kHSDtbA z9+^^x172~S#rJzv@GUj3{3uM?vj=mDe`$X5k>y5Xt5Zkwea?4~w!qqYU(GOld1rU! z>wO#*Du{9XarbVR5ZgV!eSy`D`|s$|^DW9pyzw#5pOz-2Ue-$_3 z{+?HB#lm|2#%~Rt(h>UFp__0oyLX?rj6z&v_~}x8zif=*7RF`?<9d5-CD#7Q2)g%i z(R@&lJ@&~gVh2x2^}iY6(y3DG*f-!<>b)(}RXhQbTU$L>a0*m)uHmVFor3-sd;6q^ zsb$e;p?<527V%gOV=}N3!~ZfoMtNor3Nj7fF4ZRdWA~TwHMz;O1jA!pQTo0u0hbtl zj*o0M31DBDi=W|HtVj{ofVCQLFGy!Sa9ftB{*n*B%Qk%vHBMQ4?;V96qrOC!!E%6$ z>5oH%wP0;R?Bo*y)~k4%eQ}7h974?GZYSjT$=j{i&g99#Q_7>BdnHaNZ@fR{tTh|G zeGzlOAz(ps%|Ja5p7`ZR7-%>r;U}m^Al&jWX+|K~mQ1P4?{9gOJXwi>eq)yTKGwt; zPKkSv>bs_bEUk6z$>Y2f^?OV4Ea5DQ?xTB)*tft;E{&A;yx(Rp^$(`eC;?+H8O z6F(Gh_~`IkR$`tkJEz*E|W@x4qv&4t$6wn==9G(Y%GV0Vm13#I4DtjGrwRd0; z{DXSlc>4)bi1*Sjq{yVEILYtY3$GWW&n0RP&at)7Tii%?E3oRIIO4+bY*AiB%fTjR zIV;5Ux%_HpxG5hXcghRoZf9YC)KgoI@R%ywyq$c@y&O0PXEveP3H;V%4b-2pl;4Z| z%N)cmANs@3AN9_KKya9d(|&d~TbAQ>`R7q^wV-SK_+O^!mA?@sLA+mr2iujt;}>ye ze={gZ0$@0}+$Kj6dP$oILbdd}a6e82rinbB9cI7nND7$4MM7q?X|uU8_`Nk%MfVNs?vkOaC@l&!Lv+ z3)g;6uc0Q#(auA8n<>tNMSCcslEtfC*?S%zrwYf8H1DGE@Fz-@>1H7W?^<@xG+W7F_saXqQg89%BIi%=R$*&j{Bw-x+?ym&jBMsh_1D{QRo>?XWi-x?=Prqv!6>#{cP+g%@1_-Uc1X;0cE0thJJ+h@Q-ny+Q2JYIk~qchY5Qb#;?dUIhP4hst`LOmr#4(rUlFJ zEl7NW57S5u8Q@(UMc{ZI?z!xJK2ypcg8rgh1Kh`K>{b4>$RZ~(WM-1#5j8K>aULcK zK0dB)*lW|aShTK#;dbtel=6IkVtyeOxgYv0h|?>C{-WHXiqKykplNq~wEq2*zu3uP zatz|p%hq&G;^*F(lF|r8(i!>IcUVX?0yl?v@%6|f>%K0-UwA)kc=D0ir~K(<_z@Wn z#(%LZLs*Zo82ubu**DWZ)btBMe^KuGgaV8Cqj>|ce{f7c{U4qe^0V7Qe|e8DU~n%G zxA?5{d>NH@27MLf_?9oYvHC>?+!bU@mx)&FA7|Y46_r89r3ltii{rtEAx7#S^jT0h{Re(WJZ^a7pR~x$ zp9(z$Zo{%+(D#WwsP|v66f)-9&Q2z<=k|}TItRy9a8{jsDV~?_xnR55R#IRyYlZpc z67cDRvCpE7ta4Ymxsj0VQ+Fli3E`o0C=MALQ# zegAK`X(}zu5~ik>CdL^b-=hJV=RUL(=PBx0CSiVYE_3mnHShtzU5X+J+{ftW3Udn?veT5NnVK(EwuXEpSF%J`UHHq-&oEY(r_irQhHh(GOiJ@AHU%RLVM8103#YmG2@ znNPsCL~rwV&|g@S_DQQ?(=YJ~eaYlkT#pvC^nDTd56s_hgRpQcQv6U{xbMAWal-f* z3qK6hh(2rJn^Eqm6XLr3{cMkx&w=~uF&p_+8q>jP=e^(u-%R7r@IG$Q7i1m8eT+iN znK0>0z{m`L-4ivQ_Q-0+Jx-yQ++%^zPzS>uM}A6c_a3?#zjTXGVU1t-jWAJJ=fFuz z`#nOUr915%-aeW`?eRVQFbu?>PBXooi+nW4eF^+z)+YYz;BRt_OOe~+ApbO6;L;it zxy@T@=hv9|^bpP$>VOsCx5V{&V@j5wWD*rrCDuvTS1yCXNBaMz$Da3H@pjT=i z^r^09PyD*3_8xBVgrC35u=u-=+6rUf&2J1B-ES7f39;J#=;3|_dws{T;3xBQc&oqa zqkr|q9*^&fWcaGt`w2e`bM-yolj6r`0Qz5|u;%x`{dXzqO@5jlXMFWlgS6jcIe1D> zmVRGpTR!@JXk7gp=RWheRsORyuRqaAvN+iMFk17oHEZ}8KKQL*v)>=%R@z7AD74Ac zJ8Lt2-!0tDo^k{D{In+^FV>62P>+f%?T6W$WO6LXBP)juJSFwbLPueZ_D7F8m_7WR zNLg4RzvU>;WZ@pV*da(>35-wb%m5hIX)A^sG8OWdxec{IU$oM5Uw@X7E+b39R| zp_Srx2Y+$I^*1y>UCt56>k?u1BNx1-1dsCq^jWM1c6d|s7{QpltOK|TNGZZ#USdI= zEy?h9(eHcrhu~YLV$riAKu}}+!HK`ajZZA!)0~G;5a|Q> zleyMuem+k7-t4;tDVJ~-xH80fjC_NAEc&FX-OUoZdY&IGw$#_M)=4M>4mvv8=nEcx z=KE?HV)CacZsz>{0epTgpzKGQ9^+7V%>i^TiWOmzTh|e$@BG$jOLbG^E7h1d68)9z z?e;)l5^_2Xp;xk2&<4G-DScqjEAODs_h?|UC`YJysxSuByy;LGLd;ZO==;olppQfI zUq|hPr{iwyuXAvmPRT+49(_b;asHc6qDO=N!lYDr*}EyOS|!%GMb?YzE@MpZ>7E#q!^Hfe z{J7&b)5F@y==*udvvHalcr)ANtsCbG>pgu|+eE+2VSWNE=Cs@@Hj|V3%U*bG9aI^< z4%&|{XDfgC`B#OOa`*3Mo1P|*!N!;I5dAOYo^7)eU3WM2mb{5f{yOWNwsB34;Y$0o zGkO2cF=l>U7jJS5bI(}XFY_cu8t{cTK2ZBkjx5iSLSVoiRl%N&c{R+j^X~lq?|}+q zC69%w&O?NFX`gc0#@FW_FOC%0GlPURW2+-`gtf!JgXhKfVcPrf11Y$p*dljk2l|n9 zJb9~>8v@-{xmBY>%spzHn{bROLSNEW23S8BDJ!|4pX4rRFP$>HOq|IX1dWh&sM%XR z;H>(Dui1lF$pt&+ePY;p_DB}cEn<>9he~4X;#yZM55ob3pD5+}{^+lwlZADbLox63 zn9Ri2t3J9uV)`Y)ht*!Hb>QtH4*A&u>`BlE@NI0SaC~@UpKq}avIXvANGW{1d=K&~ z(A&J%81DCiCXY+GuILljf)@w*WAL7?_3mbf?$zOk(f;|~=(7N>t^kKmWeJuujqju2FS@1EB9Ker&h5 z;WZviki7(TACJ)-aZTuJS;X`%DzUz*Q1w*}%==OJ^5)G#UlN6?Uj1YZ7bu-0q{!#v z!{=*z$@2^dJo&EDXYQFhM^}~d$L@F(_;t0&I7r~>xMnC4nk$N2(0Xy?muLcC{Ty|dOK>ejQt2W^c_+Oz(8?>I9I z{AA9*5!rHTvvqFS4`Ip&*t!?*RTc$+r__l1jD1;V-?=zWhT)psANqb-0A?Ot!Cs9z z4en#yPoCYJB~05@A5m=SJ8drssigslS&#!SW;QOJ49FzW|o32)c@X9>G&m zf7NC5BSZgh`BAdYzrAta)_yRjq4Fjb1kk2p`ZusAP(ST_JJWZ%K3-bEA21!fKD{4| z$+I{P?LLtytiyYT`Gq{8tkv-I>w@XAb(v%Ic`ws5k?kPtzqng@jM)!Ef6+b%@RJqC zTs~Z!v_JKfr5uCN=w~K3Itbh(o|miAjJ|a?&G7D4mvUm^hXGx9Z^iolLc4j(1L^WP zd8*J~yl_l*+3#(54960*Z*S{IF{OM-+^2CX|6oChrM}Kr&guv2(HJ>Fa{Oinn7!oE za6x>0%Xd3G#hExve^>P}bi+OwpQe86KlGI29JA-8%SIMiApi0|P7`YuL-uFL9LBhi zyWu_X*;Dkra&b1(X8Lz3`U=u^myV82kg6DLvR7tnUZw97*T;JGl+K@mLyTm&M8J!YMVs1Ak0;(>Mn~H(50E zjLAEN?anIYRTf*U-&~gAq&{^E`b!5~qosnM$&XzQmI}PU$GDk(-gb^A$6RES{&-B& z>beVTG+)2>XRI*gv!V@nO6x1E>#^#z^(XwX`;iypbu}6Mu`Kqpznd&t*Yz4bNH0;0 zQ_?}SMi1|s_pmSh4*cXDSkDwzMxQwQVBxn^UpSr@P@gJq!t+9IZ0+Cd43}wFy!IvB zi9`N{$J(P~7X1q&i!;q!c|S}(;&G3B2ILO6G2OGX|8zX4@ zs}bH1eoOrI82Dk7`}==)E{gxPG5M89gn! zsCF?tWVdYNZ}>Stxb|zf5xzJs@()3mq|OU{pSng&uUzc`asm%lefQX7D+jx4s`g60$|El_4R-}ObIk|gc~So__+y-h2K<$c2?&D7Y`&FJ}mrW#4z?Od&*+|yyyUYqxkaY)*4*uM+ypHTYzz+|*Z4h{{+9M90lHQ9}I!O&KX7`LXd`ve#!*fFai*m?jp*NTp`fZK^8|)@` z%r76axO1?((YH>;3S%JsdX6yMcfD(Gz9oCi!Gopj)S%H&VY>NZH4l?l zu82NE>Jh%l@(^p|uIR5MfA=x^U+AZ-*}6Xw_nWvFf7YjFPfD=Sm#DX1>r zB6m6zep}F-c8-GIGKskRd;TWR;qch#^mRK*J1>xd{&O%q?uap>oF(Y516gz(hdgpC zBzrNxC}(9-q1B0iLFkqGeje|mdc>B(G|?WV&!M9e1bM6ZpO8!B}DqX3fDj=yf0f$v;~tr&Q(+&yTYId@V;r`L#?{*R3Qm!_)xo#a++8s^V(dvoe;MqIgtF-M zB7g7mO5k=3%7o>+*djOV;zs1fxIn!yT5>=Qd;mi*{iG5UB4v2Np9&5)xpL6=l`~X- zr19GMvE%Ix7-%B!kpP9k36&Ut>==Y2_-Ibwc4*b|d zd7~Zc43_=`5X68N%Q+lxGteE^_=8hMpVggE5!PO0fd};&UUORx*vUH7n8no`q2JH$ zN#G~x=ON!J>@+po4?h?FdgGBtUhypoQ8Di;&o$z)rRUm9FS*bVL5b>>l(!SzqV##` z=q_9bd@&4s{((VN$G;P9_P6;bt##w^6AXx!dVB$emHH}Iq{+?}j~+BRoTk3m#p``! z+|cBTe;!JdrBQejyW@O03PbYFbi*G9H>?`JfL-45B&B%ncY6}#3kLmHqkj>)MW@Q( z4YQ`k_mXvS1e$TSyQqKYRucM(SUdYpKM5L(0+TushJ#SoOKb{ca8*BW{Uy*VuYqv< z##8ySpHv@Zdbby*YTj$yof1pmGwsI+ZQ2dX#tL~S|9XxU#ubjdv`HlzJCSCie?W`2)H?S)_Ft9nVQr@#9QeiVJd6k6m% zwtbYXeK`Gm1{?m=>kz^4((EecQDSzwH}n>?=l%NeCiEqNZ|8(_g52X)-EkjdvAGBM zmK1z&zG!dJq;r<;)44BUZ}LarCu1M7CppLDu@kf9F6>T;OTimQyt~!mOiAFv0z4)9 z5?;XP!klzN_+j+(Q8P$V0g65iAGPWT2czX10-=^>nLHu-Uh~;MGu}ympEct~OKsdo zyI=P;Jr$e531`l|iYWOY5y`R*4gt%)_RiWm7J1j^N z$P5U>1`B;#8_OpPAOD>f!9{XGlL_<}ttB}QK0l4+=o?pmBKlrc$9@&9{Jx&hUk+hi zy#xMg<#0_!UlRFqWBs42y`C5SzE3oIg`OQI(SOT zC%zLW9>fA1Ib&UAjv0Hijhwrm_BTDw19K#|aUGw>=$V?w#c^hsa6L5oH*kc2pR{aI z%9U@swzMxP3w<(N6ulZC{>c!&4`<8XRRF;vpQyMeJTGwj!kJrap%tjz-W(_86ZXm; zE$`AO^T5~eB=a!8Q0Tz?!uFIO!yI*iNWUf{wkIFc!}?>SwEK2HI6GIS8``=33szT!Rn zjF&9q+?KSHn6bIQ?QP^!D^%KCJ}<9LQ%V=k!v@s=Q9#vh>n zh5nyS&=ttR-jIdoMFEc`7IPen?>GxmZOxC>0*9QwQTQ!6Cw>I}SWf~jFu$;mbVEy5 z?JYReA=mJb>UgSd{xy2enWOISfq5TT>0c^bvUvaLH#I}BZF*jL9QwrB%Yf%aInlW` zc~hx*zvFj(gfZ}GBhdGXIN#s++_Oe+;KdwaEF<76o9Us&UP$@O;3?_+mu)ZfAy@e+ zQF<{b{d2aUMF@s6tmCPvGl&*A9@XRDU8dG8>{qI(JG zFWSS1{g~dL-U1I+FFI$f2;@uZz-PULUqFpO^?!OHFZQ79&4trPWSbtmiDAl(sI(Y9 zTyl7GqvS)>Lk`8>>)DfcT&vB9Gd_Pu^zrc?ekt4Zbe@P7#)wa>%M!E-{QhrG^oy}q z_-pw2aqN_UccDG64t~a8{Q&*73~YSkCbOASN^=z4ZsNz5*rXQq>j-zlGlKr2_u@~% zyP!Y%`no{V2MrAaJ;lnEcC%VuD{EAIBu-kdL?S7xCnE&o%0 z?NJ_Flx}*^-;EGm7vJ<&KimR!}r3w#(gK)J|e)NDk5oNasu zzXup@z_xJVx*+1Yr_mSET-ERYQE;ww?F53}IQTGI1I&o|g}KIA15!nMeH&h~XhYq; zB|})Vn7=Vb`xg@I#tQ9o?E$wMIgS`R$_3a0n{YQF8sV@n6Wah`4 zc$?4Vx6b-Ln=&OwN?2Hh`9--Cr#6JCkKhL0qeCInehs~neIi%Rf>%vHIQG+Pna_q^*$sC43CREd10K{! z`=LVndg7%l?Jwx&@}I?8a<4omY0G`guF+;+-4gv`A0c7WBE;PPr<9&A$XC)voP~K` zdtN5H3%MVD72{M#-sCsJ+-J5IS>!hP<|Uc??wDZdmjyyWt7OB0Ylt}>bpbo-d5Er0 zs|}W87*ltLCYy8iqg2BOb{{I=Z}HfZ=_7);_32&kE9?6dettdXU&Tvha{R_3zoCJx zJd6FJcW%LlN}xRYCzVTa*Wc{phdj2FuT;OI{0HvCqWYC2mjXcI7{lGqa93Tc=d4fx zBzwhR-|*5r{YguIpFN|6^;xUt`I!Az9(-dE99{>a_l|zyvp8R1yxMvvQHTZ2jP#d< zh?!KpkMo87^vxs0o%gMB-PG6K2J^o5(PhSn;uJ9N|1Srr=ju2YljjV|mgyWYZv~j2 z8_p@^ra6E|;wy~veGh*dc}8uqU$sG>orbkeME8=H!BeV5o@lLj=|W%QmqDh_v`dcZuf=}$0|2XK#^%}Khv{PB}9%F0@yUbt(2GSXz~(!v8N~hss{8u z_UrAA)jYya*eBCR?q?NQYtgUs5W~h1ZR~EVYC4MklaXz9=(jI=DCBuuX*G9Lk!QV3po6++YKF)ro6RL$R#s2_u=>GQQ`|7e#>htioMlW z`OX93OVK{Ri{Z*|>k7Z+?^p2;EJ=_-6yh_$%|pPY+E#E!6}VSodGPz6;-WoROFCs6 z4%6-cfgP+{_5Z?6FFkZgz3%+vDl-WH^~g0moVK0<%4y4a;5I7<1NzHIT{M+g+_Pn- zW$5oQX$CkE&@F#Jew%v$D;vFG$c?x>^bw?3TR)3W5M8_fk}bbrJW9lUj5eQ+qtGYL z!S|l8&<;0ia*A-R5^ra3cuZ-D@+Ay^L6hLqBA_KSD3;{z%ap-F?A^ zquR($$nWotd}U+&Yljrolp0tARt6VIbGpv$Opd->jM?8Fi7V}YJ7XyyANiraTol~s zuiU+7-sl%Y|I9`AY-!UP|A`GVJk9BNk5Ydgi2WFRK5MbR=hyk;pg802J2ybM_IQPR zBe2u$i0D0p3Bx3MMcp_RK#x7SRr!6mwx1pSfk$?%>TS!fNly~B>3}AbPqLiAKe+cJvJ9!Ezp~a1eM6@D2Vp`J%zSD$S3Y z$cY2r*O9B^IW*au#O~X%%wXQ+lPj*;YaC*wJ}~g>gtG&F$AW8E1a|T#u1y>V{f6a@ zzdPp{X7-=o4OLwS{NzW71BT;y;l9EjmqM@Po}q=F!kyf(I*x+4ARPR$aY&uafDW>h z_lTu|#CFNt?H-hOXS{vV=2$8M4tQ@-xbTTO4$LClg77aYH4Xv)op!{QI0p5)0`_L? zd-d^AUQuQs6#(BAc?|t8%)f4LC;EF9^mpk!KwgY(Fkj-&Wx1ms_Ve7!;(|Ofe|;Y$ zXJ~HO93gY#=pvKyXOfdB1DuSod!7Wm`1ar6w_Jt5_~p4~D&nFI_>+;637Z#}qa#uH;OoW@E6w6}C<9MP_!yV`2>7e~ z0bf~YU*;Ki>L7sey2?T6kWD7WjM<s-Onvd6Aqyo|jGxbO)b_{cVFwhD*Mp z?LM>e6gPuM3>@C&pTOyr!08QxW2uw9ZKz_FQ|iRnbP|0WInxNl%75DDr+lV(dm79J z|DM*O(>y;4o+0=0La!7q*5OFvwe}Uv`>&bfg}ztu0nLr4Bis+s+mB{FLed-O%fE!e zaF4~H5{3O(Ujgmr8se*hua4^`Tf;vlJi8U%v{L}`W!iUG-;LPL`Pl+15}l*&Bm$gl zW*a95?N#ZG1vc-kp;t;=YJ5FL zIrG~N#wo|3C3>0p3yofhV73QZf~(K|mwXR`tY+V=5Ik7!3%LnDKle%w$f`CAVCth8S`%?<1bwzIzTKr0aCg%|-b{o6_|D z+C8P5*99&B`yt^^mVDyu2m&>;?+eU({5`1pV-o#zW0L*Vx1Peia0fqG{HSZ-_ka3B%mOIcoTb8uFfbet`H(-fb|^z%FQbUJ^osG0oZ@&mx(Bpzp6{y}Ho|8qY;@ z$ot4XsW^-nf4pcX_%QG_mC+4jA%17Q9nsdz4Bs$K9npg+oTD#lNBgJm{&?83sY{$XRk8>mk`AX>n3-O~FY(#C6 zK!TsIGFJIGb)8iYvS*_DN&P;P=vOWV zigVB&rLo|T0drKvC6L}r?=t)xuxlQ!iO^9#@LRIca%QQ4Q*xdS{K?TZ@y$LHA@gy!>Y2pxyr1_a>3iMYi?EjSa$6QF=lt(CPv5mCPT9zR&iQU6}V#mU}5>ubFJbc$#k`WqKDgl*kqh1%Ai0nF7fiH`f1%(hjbYG1DL8zb z8-E-{E4UW~eMy{isP34pTvPOOi!T8@*gkSWyiVqgDY z|HuX(@HC@PtmYMGQf^GwTm!9}YvQk)2=xCRyWS&L$A$H0|8L%Jirnvle_gfb4}O>n zSTj_AltGLUIoI1k_s~QAmGk@oybJJD9w6`Zjz6EgP@SW^@VszdHw}HS&)jc+igQN# zkXCro>mP-|Z7!-vLem&VLd>3>qkPQ& zTx2dk@x?@)w`Qgg+6i$&l^Tpc+*f%Loy9S~t#Tx7;A>s`OzG#j{wRq&Pv8fDUircs zH~8bRB-ot_+2T`)cgP|BI=sjI;xOZSqu>K!fO)+nnCI4RXQvTr#KlSH2+3P*;Rdr%Dt<9Pw&BH%L{{su*dm_o7fr_8UkPBbG{fmr; z;2YSa#}n!|o#rE7$$o=7_u}a&4}b^2S%Kc0xZjD6tp_;cbP(mT+<<%x`%MR+e?k1X zFQL;g7zXn`^W87*3ZqpFYzRW11@|Bhi8?HR&s-I_o6>%!ZFAK3`e!JmLL$X@s$fZ(RV zjU&$};=S0OP&$WJ*^@mz=^Dm*yV!D`(wtP~&CK=`oyTQm9P#ns`E-c*1gialz9cRh zx)Dg&rdY*o^`M=w-xdE6tA6jl!nNnCeHQ&ZmJ=?eh6S)i%YU(z9A1Oh(A9uPiF^r4%(9h18Z)$#E0S0XO8=tr~WQSfqW&;4e!oGm2lM;XA_mM+whk2j*pewI=Y5yYrKGJiQY)}1}z`J15Wm-P(kU3OYU4l2$$Eq=5k+0lR6%LR(L=tbob0)m5pDeUj1f2F;z|su(+C;nIH(YOb z!H_<0__n1F?H2Mc|0KT8iuG2#rCOQsH-ie_xoR&t^2jz2WT)q4$o>ER7Y+oRdiU91 zpii9Tn%4okfB)~YaSs@~u{%Q5hl2hW;2T<;OG%{(z)O6)3q3Fl_Jh7JJ+I)SaKGO0 z_t5v<7W@42YZ|>D58>i&pyrwmc+h{Gqud`WyFrn#!;;uO(R*AR)#oBCxLzaRa>waw2esK4uuJ4tWn!@A_o`FV$I-M2JwB+gOWgFjZCgH6y&CNf6?JwtNN zo(-qJ+BwfUUCCGc(*uwL;C#W+Vdyz#p*~*soIg%6DL)`Agks=lbHMom`EKdwQBgEC z492@h!-;DxUgnw!7>Ji)*pG2u+C2q1KK4;W+%SZ<6=y?8nc2mf(q+DD2AggTGRE(acWLgq=e{O7G?JZ47Y+7@_P~9NYoOdd2B;qnJSEBfmcBCDav;RXO+J^ce}T`> zKD#=Th+{cH{T!74`n5kHhIa09i$G#I_|bzrgL5{gaUWya$-lASbAglCYkn%#;se<# zP4t2pyF7L7NB>FI3^ZzV^j1#X$uyF_KUoLx zE$0gYpMz%%{AAqsNt#P+IheSX=I;}UB=>qhOXZ*c5+{4r&I_PddYK{7<{2D6*afbv zyzg5E)5Oal1>?SttrEZu$iMJj6?&!Q6ei$YMf~OZSo9ook4S$_1C-9Fk zxA~}Bk?|S#cv?kJbqQOT!mByD;67W9Q@p1BmKbt ztxMOvWwXJwpBITWN6~UFu$XI4HoT}jVXd6K2k_VNg)+c_7+bpXL!|Uhn~|^N-slbA z6&Q}Z=ie7ktr9CPvI_Gf2N*-_ao>{Owu)m(>U!HaE4LT^Bh+1XtKp?@?$uBK>~icXfOuW1$u%b7Xe}37vJ+G zZ(@7UlejYNIqv4BIk?wWv;_geqF#7j8h~Vx>OhUgq2U95OL=eg3?$G>VcfoIL?PZ5 zjs2MP+#+8oy77)wxzGIUktRI+j+Z^D9v11@cjMIG?W8iTBa7R$~Y*(20*K z_oY23GMrsCj!xvDIJA{=w1=TLL3(k{mKwrAtX_|5B0%@PFW%GqzTWDiIqd7;Co=%4 zm8p$LFX%v(`nqaqrVaKj<5lLIv!5`uvu`e)`6DGISquHG;T)dX`P5 z_;mb_B`Igl%}e`m*Trg%4*o-qkI%(@Px=aeO`_7ymF7Mh1ivNh*xv9bD}TaL_C68F zi=jO+Yy+M%mvD9fl;-Kbv(WvHn}_bRmg7BfF#bvN z`QRxrm@>*y`|II*`GtL4zeUp@?ce@k^`X#^`yPCl!k?SxOVKzmTTII)q+pl6dt%me z^eFseT&sB1L@|uVdK^Mro3Z|RmiE(CKo2Sd`i70566R*3k35ufY1m6Km+ubtXu?4Z zzG3{ygU4CqUxu8{OFfdV&%G;pqPd3({mAnFZ?e~W)GKT4sk@RynG6DGgZs<#W*4I$ zMrwW?ei-pRMPD`8x4Q;@OVKm>`B6<=xWaJ0uzuDTdL=)G-77ik_xW*<-lq)oz2bcy zSs_LFuNGqo)aT5(jgYTo{s{bIQOwC$VL?dcKe8GbEk2W4y>S1Mx#^M-1mld&CKGL8 z@Zy00isu*T$p7P8n(Sc+T?W4;_74~(D4G4aTaYUSrgUs=2j!zQ@u!;XBQ6b~xvf`& zaG7Tm@_u?#sPJfVoII&IFA~P3Dt{527|Hp~z(40>8+xVaTIjPF2fK1t+>7M-0uS~K zgL<}k$UOMdZ?W_l8%Dz-gb&_kT~;~2z0}Cz#Z#YpdY=nHuP}3CN`0t18$0217Jg4B zSKZfc(ENU$Pmbgl59Svb>sx}8!FkRV$g6VAX45eN^air9 z3+9&u&XIVAh%e(S=r6w5N^kOvlDwtedH5}%f3?|!`~>vqyHk)4M1FKAbTPJ@p9h~G z)Z?TTmoLWqMV_Pc_JnZz%&-55 zR2{Cx|MD%b7%$j=KP_Ir_ig+{H=c+7mwd#jz5v&W|>qKwA_}iyP(EsaGY7I>-y6#1Ia{Fk9JMTD{F8qy$A<#-_sjsLW@N+cl0!g&R8#nc&&2bk5U750+;4yW)SBM&tydizvuO3 z6G?1-9P<0T&n@%ReKhn+>1W3L!dr;Bm$Fs=#k|jJ^?EP82!tPxTF@(n%jsxIj5Tu& zfxn@*-KBqH%;opXe1mQKj?2(1$QQ4>LE`uL7W`Dee-eXU zycjNw#rz_Df7iolC38%m@3W2k;D$m&bdQ7K%0qfGOmd=6U9+XH?i(kw@-2b`gje@C z3;7q+(+tGC&;7;|*JNp4-Ybe0F}^Z)xa9WlU_ZvOk}sx*$^6#ID~q_^t#8-s2Co~g zyW0qNZ^@W+=`o#O?4{rTHGb-+g5OefpFr@Gcs~bUp7>6lgV)7HJDVe^6&KLAj-h8# zRCLu~F5j;+;)(71+rRKrzt9u#VUdE|g?V522Und4IETp{3W8`5?{ndYxq&h3Kv^=4 zMeXcb*FVjS@vvL*Q9{Jd>jlW&O5h3_HrF)CLJCQid!J@X@|_xJ=YgeQ}M zeX{hlb+=W&3hqVx`}B2iq>fw&^fH{babVHG{cSDaGO9uYB3rSO4C=*|Zwt zgzfic5}!m)0AU+2sqZf)<-kn|k^A7tL+A_T@8hf}-M?6k5dTu)YcsJ8Idl*9$^8Ao zybt#p41C2#FbB;i+lX)6YhJpZhtO?zqrPGp{K=vh;(7Vn4hG}3*7|!c#C{Al-)X%Z z$e9ayN+T%>0nUT2F`5@{b=3$3meUUYWX4AH_x2Nh&(Z1$w9X!2Bh2lLYdKuQnMOYN zDSP|daz6in1o73kf{W(6F$&=3(X-Szt8*jpZ!gG56QnEy$Mue z()%Ow_nYwXF52%+>)D|H@s;tO>u8(t9Rb{bM$UPtr!}WdC7k(zzm+Rg#I3D{+E^@h* zUwyH~5j|U+llswz7#lL}SfJ`QEnM}z7G+0|*{6&9nCxdKxX=Q-fM!if(D%x@0M8Wq zRtBS6hV)HfA2=EKouS7fgim`H{^aKTLR^dd3mfM;c@clh|3hEkQP_rO!RIU2kqSA= z{YB0nv6sfTT?VWET#`tjEIjR>4!$MlLAS(-9%}>tOM~CIIWOPfW7N9Htowj2m|r@= z2{8(KCD&;WvC#d&mmca5o{#<)$q8hp+>Lzj8; z4Gd$6zLbLiK^Azhya$Ry{#o+z>jPvzG|_n%zMDy8s2im!gEn@Ys2T z?2R|Thl4iD_jT|+Wf`^tI9I}l?Q_Er-|`CW6F;*joe~)5(Rnc4XMSb-QM8di2k4d3 z^H`yVa%$fsQGfox<~dL;Hj-FJDWA|YM*Fu$6&bZS_<25FbJys9VVb&A>jcf!V(-Ou zMk~5G>+=AA#2MxajZL7}Tv!c%vh17NkEJ@7M^+jcNQ8E~3A5UbRjx#{io|2{!n@Jb z8pg^^2`2TK4$d`Vu`WLIz@+&OoDT;rqpqEO;7!|K<3+Ks%n+U#o);d2{;{Y=R-3x! z{EfUJueX!K9OwuSF5mhS+p{~fzRw(lzqb! z!Gs_5)O+%^IN9g!!}IcjIVi`|XgyzitB#?1hzVXU^w8g9ZmjrAuR2C3&js`TODwEiz{=6WGHuiv1Xs8#l++%YzR=A1XUYLb@ zSO9;r_(8#kk$h70U}7BI*#=1zBSi|9#Ioa6@L;8%5IF$m$=p1XZ%956|DF~cY#s!D zGO(UakB-v*j&tBA!@ga`!-HO;uHjXlE!6ImzTBv1P(`uIS{ypgvCei-)iw2Ki=?a3nrhUgF2Ckr>SwV!fc?#JuD z|4;OCLq_`Iyc4ngXjEPheZs*t=r7Xq@FJPG&LR+ znp$x|Xm8B>O}hf2bD+BGGJ)iAy)!zf|V{)H9 zn4vuxHV!)PSVG@t?#J^0`d$LtmyMg8Z`vEG`a1l{Q&3AXD<+jzft%WYb*lPE;ZK&m z(WW>$zY|~<=r7Fmd$S&M1ouq9Z}}Hq2ieeHgm1bpmbibzI2lgQfL*L&o2B<6^ot3v ze7h~-wtMUAD&U%OkCD3%vC7nYR-o?D;I|as*cW!f%{kaOha_(D#995l;PX54e9;uN z3e;_Ey;WjxUTEpU40^#>4fLdn?-lnk>6r^f&Y0)u|1iJsKR~{c<3_2NU!b-=8lRs{ ze{qi(beitWj{^^ub5!oL6KMmki@W}=M2w@UkNJglhZD#HOCIs_tHuQ1-@4bF3Eh(y z8PMA%m9^{>yxmXvOSu*3ay1Am=&xiMKka>80vz-067XQP_tsH*pQ>LDC%)#~y9%B@ zKoku7-%y-K<~{nP2|aYrl1hX+XijP5+8F= zK$PxjZa}ZZc|7*KSwHtVVN`(E<;?+EI>#@(p?xTRHnJZHk4&d!e4%{kr8?^_KiR|I z7zh1@<5&Z%_4l<0ebOAHcwjHzm(wdEb$^09a+`1YW>8=Z1@>y&@9}hi{j3hSr}A@& z{z~af-2rYO>N?iodExtE1I#a+r)Ys`Od$?bl-Erf`nHa z8%?8OJKgDFlK!$6?=Ko~!4xmYxhs5+>jBi6-#e+^n%|rM$_NX^e;&K4uQ1k1`wnqG zVSC)02H>Z24S|I}alKCk=r^*5KbvRBIdl-u3-6u3_0&8|a;m;3_NLNJHs->g?2EbB zXIq?b-(FaH6Z3xl{WDFuu6F{p2N67_y4f z)GVB{wF7*VH@zTGdr4n{*T=ab_>Ug5%<=(Qmv8LmTtB+A z_LE%=Iw1do+MUhC?vf*RtZYkc$4Ka$O&7T6skWo`$y^Lq&gvWZlf(HZEz~{>?9H-S z=tG}{>=nPw7G2&kz^r-180c{5`5rkBoGqT8Vnc-2>Af>cxl`kz@8j3K>fvzF>$<|{ zCVh%4!U!(JeN%>Gei7s14MWDQKpR5oT+pbjbYi!ZBld*1YC-tE>W57^9Fv$|IKOb@ zduyE^bCXDXnhmi}hHYd!^nG5N<~YUZel4!hD0_@Ti(T>RpXuo*zUaB|CyVZQA&eSu z!94UzOxxr4J_;h<*RF9(5M6N?^h(L$S&gOhwE)UPuTH+>Q7Ss3H&f^ zxlp#bKd~(4;}EF*6X)}d8VrcO8Yn zJ?X}m-ojzIe<6)-&jabb$`}%V;3E%mf)9S{lUU6|9t{^BS>|V1WXpcHN~H$(R<{1x zR`usrX5um5Wvq|%j2_$+sC|v~Txl5xw%qNc=iv=_N_<@BfTzT~3P0=_m^Tm&o|5=e zy-N(?uwT#6{o|GhV!y*j^jSb1T2g;j5}g?X5_xkk>4E7tBUU))yS9Ss!iHezm7>c} zPEud=7lVZ-RVz1<7+>5w0X!w%yZstR@33Y&yvQtlAKS9?49=S*UVu*l_M|hP2a|A! z`;AimYgfGgfXReQw`{KJi&i8udhf``8H}-|s*_G8^67 zkD!6LruS@-t=!%7;4?yRar`lhIR2hK6FgYS#o178^ly*dkxt$D;AoHD+t=9GHyx#Z zkRR*`)WY0f_E{6-o1^{($6Y|k4#es9W;Y^<<%<=VUplbtI;2U9wL4y&M77Vy0R`yAlMzqts#vMn%Ki+u3<<1cW1 z@Hxf!Q_fRDesRM$1Aw&sfcc<8MRt=a}h9O;H^6YD=p2 zKn_TwC9p9bf8ox;Q zMN^y@>I;pIh-;M%jnE$H)xNSnJ_%p*G_0B4y@LM3`=Eo!zo7QZ;-*RYnJ+`M|K?xh zSs74O7DZNkVS!%B_ndo!(WAjVmt|pu7N9>1eutkQc=8jb8^)dtP6pXf*p~b8-HX%J z-v-@Q7S!M=Wib$8zPm)V$RkVtWR)o8c#MHR`9E$>C^U+>U;8ce z7hLmaB9AP+C*W6>97b^*_FR(7!|hsl%J3(*hmpZ9DnU7&_V5R??t=c8aNuWOjU>&f zfOjb}{yXrgxi4!=wD5_tMu9gc;Ps2feKyRVFcDv`CP06YzQm>8$_39XGlXZj8$Nhk zC*o7BNO%e8Kjr*vMpFl>o@3P`yRkp*?+a(hn*d@vSv2xaDQws+2-Q3u?qjkCzo=6zmh*mz4H@Kxj-C$NnQ{xRuaKI5Tt4d$0T=4uCOzi*8N zS>z|+<5J^1=ezpXll|)SbhGYx|Mk(Ff9o;oZy1g_?Av<*?~Co|)ca5R^!zPH{dNyr z$bo_TYYPE4&=%PUuJGgh={+7S5Mu*d&=Ant!0Oo|I2Y}FV0tVAyq=bp?VG#t2| z8sP3rPg^+p$vFUYZ#XT-LgY=ZS?>Y!!sPzer#F1evbelqzz+ZE;odgNQAZzNLmr6H z<0)LLEx1Q9Hz&}ZkX}L2tF`Kr`>`Kk{=^-7;@EEn<`>}~bd8~}pdQQ_hT{^2p#mHh&(k+j{cQ#}>Ae$jUi#nB8dM1Y@P`e}EhDVO3wp!$d|c?dsbKlm_`yWfF*GPpc- zDrZs7dTyS=Ts{Gfg4yT|!bN%$<`GYL0tVgLnMqcMApNqJ=7 zg~<1}#{qoah%F6Fh@z3a9{q2)-Zx6kqDwWy{KA~(h0rV8q4(}$ee_qd9)x+HbL)Ll z)1}uo^0k-tFCbqnewI{wV*6V|@cG&QcK>*ia%jLG zP~u~vDBe@wr_+!_Mz6!a?^227&sys|C6}=tygu;>w1Mse`+BQWX|xzvg~4wE)i-p< zL-O|*iesrCFTPHNYtQQcw;vOq2IhVCg>{49vcfPlI0X36K)zS4EzdPqaV2gKm>FzG zmti~E)D!nH=Jz&sk-0qhw>0JV87b6Wz)mHG@F_|%i2I8?f7j>b`oHKw1y^otT9TYc z?6>6n*?DuU^p*Ofw}oqvM#B%oYc&s3d7qfwVC|LOjl5Xu_wLEaBQtGq{k%Bg<8PZ| z)_&_>t{C3|z}W2&_GPT6)CrdPA+zx);=0WeSMV*_@B_V4dZ!Fq>F3BBjpvh%$z2`k zWbCgA8!aQ$2i`wge5Autt{Ke5m;qhJXfnOQZ+^b?)#(>E{)o&Lze@%

`IN+Y#c;KF)2^NPhiIU9~sECz0|eeX8tsEs@~LUcPT& zp&`8}@af)XLrL=x$)Rn#o=l({*S&$~MffsJI}=~u8(Bxvj)GN=V_v4nezmG!Iz4@K zxO3C=XcCSa`jR+aa~Aw$>2;iBrQGI|=z)e_8c;WfUc&}wHTjY;^E2BXZTEpU&%pOb z$f5H5v<5jxa9{hMdo6u*^GiIb0dlz2X4?{DXG~w?oaUmtHg42H7AGe4)ps9G*tX%K zQ)md+E89dLOlY(V@R3~o$J7kTt5jH?p?Nv%0XR+@i2GP2=CoS^2y3r_(`#6C@7p0< z_axTd1UlfJowd!9%ewGgoapvdUgc`;a^jzc2N&BsbE3LfoUC%mqvMZ0RM?*}h`6>q z|8ThGNBe=(35xJ6&zkBFk4Jwo&jv!FB$7qCsc74Zj$}wCJ zBmLg}YUU8fXXh?P4vdT6ruu5X`@SUkJ@#6ZM^zZhJS|^%6HmLQ>HW0=_G5BiN+oyh zlku|=&i63zq}Wc?4f;BBWfs&gmR`4=@NG)}%YsOG9%mzu%=W$IcS?;~VIajsc+s?n zn?_uW#SX%cb8q@Nr^pQB%K%pWe7gXFW5*vCZ4`}QuUYCLBY!P z!|z-6jwhp~uci0#T#A{)vw zUy0X$oty9(EkL8=yjJvvbM;U4UX(XCQTIR2#Rl7#dx8@p_ov6fG?R1dI8Pa`{_!i5 z_Wu3WN&C^yLhm60KQ*3?58+Rt>xM|(wYnyDNc z5}}iF-RooUSePf(%d>0`T*+H|Trlr%+14*G(JGEOo>r8KdonNVd*FG2Jd$oW5!Xb{ z#k>iMP|_ptVY=@1jNJnc08$@&zbN#eeUM9<3~{1$2%K3efCtNepX(mNXL!HKLhKi@ zvMKAEepOD~+!H1~4`JW2m`rGS4wp{Yu+ygo|ATei-@tV-G9x{na9a{ZkFx(GSkP zlEsnK4z|>twT9B3mH<;ODm7;PUAbSE8D4ZB_N>!CI1sP9{<#X>kp1F`?#ji({42ir zs90iqdbL;A4EZ~5iIvZF#V>=1*I`!ad6J7x*@=BJt~pJwkI=tAeopBNcr=m#$NVZH z5dJX+cI3p<2-G;#i3}Fsk2Um8_SN(PuWvT4F)dCbcP7EoTLvgS_;2iq>$#7v0^brg z>#LXjh;3xmupg7T3_W6lSRZd~N8?ckw()*hUi)S%x(3^9+Zu^_J}gbt-m6)~hWN54 zn@Q}zFTjUk-a39>>3i*r90>=R;I{;wEv(_$2+8FQJ(*Irk4sm*C%lZ$@rOYpfaTlb z7_GhVr>tnxi8bYFA3=`>t{G1o z%juRtB-v~r#GSV#*dprwodf*=^-8&+Zkn&3XriL}Fh0*5PF#mx!?9TW9LMrZ716S#V!tw>Hqz`RikTk-q5W-qNr9rMH<_ zu8*h@r@c#A;6q^FHh$e*gSof?2~NWM%P!7UKJlYK0=3U23fywhjmvuyzb^e3JBg0? zOVxaWYx~>(K385;IrQ+)?3s+NHNsirS-@+$FeoI1^wkQ z_m=wjYX53hlK3d555pc9Yt5xG`Lr83k(Le9)c^j{kGM9qO7m1oU~u{h8#>pjvTr~& z_yl3+TT}{e7hibc?`FUL?LhQ&GcWgOB-KC;VtAjSgssv}>tm(H5caj6_R{b7FYqm) z8(*)SufON9?t~PFwfWa%^%<{=Ri88VWAgbq97{CqJWd$&%x2yX6 zMXKLu9YGrXZR4*trvFqE;AN2UPE@pOfd9Ur@{9556V$ z)!T%ms}73!g@x!i+%u)ttm=&JiUG>!dN z$Y(J&`SOPV`h!9I{ofdj`#Krlg|;}evTQ4P(LR4ns1iA?6ppr{5itseZmXzREpuNTyylY#Z%DFLN8dIWBN1hW0Dii_a)gQZc5V6H|FPR050za-_i`j+iR~h<%42=c~n~ee!ocE$C%&n z!iN3^a6Z~ES#+Hu?8CTs{mTW#2H&4dnc#;r&f{&Q`V)T}Dtza@Bg-jI_>-5ukNh18 z>WKGLADm|l+T86t#ec@?aeB|&9z@T)%WFc*Y{t-oBR7IQ6Vr*up~3L)h`%0v;*uW#FGhTfm#t_#aFHop5~V*k*ZcpUFZZ8R zTI2Ny_i-*ZYKLA_{y=^eNL&xQ%{zu~IuZ7VXwH+2TO5!d~?_-b$VM&$Ov$-3yCsr+a7u6T^>@I|t6nf?q= zzI=ahj9HkE3zt5`No{nWTm^XtP)J+aEsZ1QX}l@|*FucVcMW;(bgW4{wwG@X-GaaW zv_T~P>OD$Ia1|UDTkkriF zL;nlpTDRso)PM^Q3RBh3xY1X8{%)XOEEWpVzC1bzJVyDQ`Ld^c8J$LVxp#4hKfS=d zxWU3y>Fu05puFylz|G=&eMDd6iRHX3Hn;}F5$}EJ=czYRbNX#UwcqeqIptVX>rH6s zoOfxeqx7q{O~rnJ1ECMxg?qNyCPnwH6h{xovcPi9kacX+IGWG$Qb`cSMjicn7oHdC ziSL}JeF|P-gl){s2GF%n)`Kve7bP6QlM~Ue$-dur@w5qYy7xNx#~8SS^JOt}nu?)U zvcU_!8tFqxy2^K6=Dulbw&Eaip&zTVk=tW|EJ*zUoZCJZ6ey>*k zi#zT6)|D8q9X~Tk_f~%;C|7Ytv4QP?o0p?mefujy=zA7=mnAD#cdkkIm_?n4=kx8@ zCxeP)3R#vSJyP4j8y6n~^2l7H+;+b~aIGw=S~;5Lav(C)id=yy+_4Bg9DoR`!4D(% zh<+E1x4@sz0`CIT&BS#0$HZs&eE_AgPw$I2#+U4qIp#_4f#JV1(pKh&XUGwW-;CU} zhsR=)zF|v0+{f4`*t6IWpCg`g3xlif`p{Ru!=Q`#ML20cXOJ!9b;0WsULE}W-=kjn zr-|q>hiv|!H8?GN-vB542L{f6=B<3?FU^EBUc-WxaiYr~2>(C-`yJz-SO9ugIT5Co zgqz5rbIsb_V}Zn}YPS*CkD(5B`ZW*T%MWu>&YyL@>Nka+;;Z=ren8=0`~ZHd0HALh zyxwW;Y$2JiFUHV**z*5foUOUc-KoSFo>JV$IA3m_okXn$^zELGzOCMfW97r29Iyk; zjrG&$3IAO%zet~2?Nr_SC!_y`FEqH1ip}MHE+I`0q)nm0zjjYN_Yw=oyuXMGnH`4` z<6V;;l^Sdlp920^7O>rK_Bqfd}{fMtI&S%k&%!cr27tP^y z#reYTWAH_#=dqP5t!LiKuta*+2n*FEiOP4ce%aub-;9N3^=G?;=sjnDvgW^oO_~$E z+KD`1L(97ZK0h1j4yDi})Gf8_l&&1{&}ibCykAcl+RN(zzbJEqj#*LRSOg`||H8U= zYNH%lAb^gGhRmlYa;SP=D0{Dvdtfl_)&RZF*}XA1PHI&h`AV*FHQUNP=p1-V(wouF zO`p3_nClZDY*~iWcHX_W)?02Itz(dlQ#$cn zmy&Z^d?_b3TS)j4rWgX<^m#@>w)k)xW~S7MqPpY%=?V18jtc-S%;sA%iODZ68tgTPa40;Q*LOeyY@J&OV)m>+2}`-;QLkMj28^!#j#|| zd${pI(!0DP2fZHLuk;Z9Fn&)#e{sh`cGO4o&<#XGW34FagR!Q`*j##ze8QUz@#<@v z6fE~xOC}MU<<)gSpwww@1|_lueHpM`w{=F1lkhKo;k$HPK{f9{-X;F2MJ?&a!B zJbp!Ee&PPfCq9{ygR#MVj5!z?(CfbDg(dVC*>@&d^m#}PS1y^iH=$-?a0%uY>6vkk zlm61FKf#C0eVXI%8nWM9IGDZP6yu?OP-UEg%&R;OT}%zH7bam4kxV=OVktDRzl-yi?Lb5phNG1pgpjhmB1 z$FGLZ-#^&9Ey6yTd-ZlfPY`{#xxeO9M}Th${C?>Z8N@a`G1Y2F%W{Ojvdi0dUYg(T;V2wuXRmzq8Gh?dyk32NJX!UodU5nU z7cq9eYCIi*0|0)qKn84H36kIER~zz#>oUbZPyM~!!=!&N1D}(pYzWSbQr{Z#pTf7T zo>?4_v0$i4SDc;56-d&UIDYyl)~gKGReqsm%8at}VZyt&<5f z#xt4VOtt46$@64=9w(cK?EtGiIupN!^zMy-#$2nAu^#siOlJ9c~lpfO68E=d=9+=p_ z=|UZ(Sf!HY0WrTY2H;ti8`-m9u-HW6TWvK$&oi4sgYjwWs)2XTW3#s}{R3{b=S7?= zkb#Fx&r}XT2XIu~P7J!&13E!_0KBUPN?vfv_ZGVFpjt%qoN&FjM|o2+1YMsQ$XD_` zWO^K7I*fXY{VVSuTUGwkuw|jHeocbA=gZ$)=P7S*(jcnJfQb{~>VGhKYOcR+P0icQ z%$MG!Z~yR=&vQBWDmfo?Zfd%4Dn6aNV_fNho3HOU?YjVnxCsLsU2=3jJ(f!IAm5DH z=}W+29avhFBzgEwJMw5Kf1SPg1W|b6Zy{-#D;(r6eVt$8IeUfJ>j>NOlGk_7OD67h zZwS4RYiwQ}D>5XQ3RmAd&S~GJy{H&OJVkIAwM<`MPnH@2TN&n$xN_MDF1oFW_9`MFjQ~do!WHjfPJh zdfOkNInsB03A{+*{QM5y67NNV6Q~-0o7N%p2zc=Qf90v)>i-dS-hn;e-x^OUgrH(2 z_9`_(P=rYM97RG=5wRjWkwj#EBZ(~e^8MOWshUNpy=PIYTBAmdsKf{nf}*xqRqk`n z$-UPs-TSzgwx%SbERB4s+88skdn@(ZK4nNnd#?Y`xrjtxvp>RNo30m9)|rG_aA(Nycp)j68K?aBoLHmFvcwYc_eW?=o93Q zv6Vbm7d}gQf4)xF-cs~e@|ak@8T`qNmpD6E&I6y0$t14L*&iB8OPDv-(p!6Z-IIu8 zLyfP+D&M#*_N|DkUO8E;ewa)r;-YVQh`Z5zD9Egw6bL*sPPsq{M#Oj2xHJ+q*X>)@5 zaeOZuTRGF;(m=&Ci%LH`$Q7k-g-RlqWLQ1Ul@PtdoGz6pXG+WB;P7{ zB1cB4Pv|!K#MxHZIEvV&KYp35@&b|TP| z&|gHayz$ZyPB-{4oq7Mc-Ja0)asQvOIePx=?@H+mpoXuKdrf++3{sAWcfN6v`C@k> ziQ`iZ(7PwRi67DlG^7QOt7T}exss3YKZn*g5py>_J2qIZcOwpbZ{R|j1cG3u2Y5%;+ zp*VhC$EPS4CCx{4#<>d06ur?;w(1>em7E47h-~Q(Z{rD$M)*eK^!l6SPZG&>pJuoxt`)K8_c=LDo9dZ?r49_DWAskf#-~Vk;EMR3op88@8&h| zl<=B(^;fdws0Ltu5v(Nc7tXczD=}z1C(EAObB1C+9qaYs|LZM88-YkS%Tw)cyFuj!@Q5n;o7KBintFzqv1_%%>5spr28$LC&W+i8#vc|8F&{Pn>(V({XlyB$lDw_U+zba`;KwHa9prX8k6(^p_2Q-}1yue1Y50{{lNy-2)E9ZC0s9s^&wT&@Y6X^nr)*>L;^FRNlkWe1mh- z!|oy9!Qd?DFRXi4D>f;2HxB+RKG(uO#_{HPZ*jk{Zx4Oq!iSDa)ALO_`YaewQH#{4 zI4DY^aX>T-?yKesV#%W;GdWMMioDO&ln{Jwo~5} zn>#}N1VsHasdeDE9rYF7fhi3U09F(7`AE8o_vf{zDP|U&Cz0y zEdGd@86-TH4$v{L`m{gW7tdGbsbhYbmW$@gm6_`QnjA_qfjbGu{L+&Bf#xJaO6}%8 zYpnLCU!F+b>?4gTHm0M`W%`#+#I?2SKf`sFzu&kqVF+=3NxyxeBsl!3$nm`Ttarq4 zC&}?nhkuy4TNT1QXi1|7-EGcf65GMU!_%~{=h!Vn_K!HH$@}ro7z&5m=RDre!i!#> zLcf0h&*kzPeAK^u9DU*#qeEBeIjY(wtK?Iv^+}~F%zyq0xxzq9a@G{}lXkNceQ|P} zN&T$oEmDqOzQOVC`fE!0V_hPs8uvoA4k+cx*^tD(J9;UfZ(R-X?b{Bw6354V7rChq z0C_|4?LvRyW8nR91;*dtHCFbDr6k^092ut1k-f;j3}4r20Qk6-c`g|fqF;BUSve=C zM-g-9-Ogg4%sqTYJe`G&E$qVx+Jkk{7njg~$^Nnq(R6|H%$OhNOJUbdL-G{3U)UEN zRCYW86K!-NUjp5{f@^f3a;FRI30=DhIJYK%Z;r2JwbjS*v7uY6QpNhi2=P*jC;9;^gg_X9|keLCI<9D&Pf=4 z%1>TWVhDF=oF@&Phz&*C@|sgFXC{~tCm&tvsy(@DBB{)&H33Bff(6r8(f+c*DK58G z*l#oU5%&e#jb>op2MzFX-~AcX_i%RoE(3hDFDufd{Xw1lWR9NyOC}xTV8EhKdW(L8 zkg?vncZQxT@2{(|#Q2`0H7vrHKYO*kwy41EPu8#P0uy+iVW_7njfB}xz~>|vF=!s zb-v**e<1(DhO##%VxIg|=)0QVFEFInWlAg!;6mGv!&Dc{!@SP?iGvo&du^E=LOgyx znPJv^e&tBn8~=-(#ACz<4va=W9^Vf&{iRo__y+c2%#p_Za+aS@bOS+s78~vBAxmNVO^4J*A6uu4An~gp(n7FR50OzrX@dzvq#@xX? zCd@B32@~vkcTLhf>YuTM7SL6D9%Dboy@Mxj8=vrCxZH^l1Dy80HhQ_Ruc|+L2yyJ{ z-=m?*PlRuu`*KDlJINgQXJ4!CRct+IF&1fk)@9Na%!x+^r_s~5q1LC-w+!J5+{&bG ztnaOaUb$p#*NBoFVt1WOY>IM4Cize~;A~wtB+?=7k%Nzg`{5^Bt?C16j{YTnZdUfC zAmEMLBbT{}`&F)ZFPTWUP`B*eI)o5&tk$iInWPUqcoaQdd%WN4<#@mF9_nzM>R4+= zsLmW}p$Fhbo_i1_T*%GW@pBOaM4_?Hmjzo#0-eFpdu=v}4GX*rUJt#v89@BnEf2mW zrkKA+`8g2dB)iv0)t;xq*5ZGia5A0_7y#uwPf$)jco)n&9(5k~3+Io5!2y}m^ z*;e$v4Vd>wqu+3CMKe7Rzk04Qu`w2;;9W@na~aGF8}Nx^?v{PmiF-Pe82X7Qci3 zB0Rd$w+-n5sOUs|{9b`Q&o3N&9fR#E$L+1lOC;9$Tx?8nBq>Kl-@)xu) zlm0+!!8+(K!Y^-9WH2A4;(hqpz=JvaeGKi~eW=gh_j5=%v5_gt9mD;?xcyFR5{dV< z;p5@QD1koZYBJ>s5+A4UofvtE)7K^6MXXR%lS)ZZ*UwH~Ef5dQDq)bEA8x+e;q@pI)3h7c|g}j@1R@K zC<4tcW8*6LEtddvd^(OQ19RrI9lQ(J3y;Ac;L3}#68NuRWV63BQGI9)ZyM4Qwb)V5 zpU^9}GZ^^8AnmdF5TH3`@GfRE*I~H>;cwg69rHfN?54fNevJ95kK#q|nuz(OxfCYl z$#Z@ca_p~w-~4%$KXJ`j0_J_@w*BrGslK_2?z#v2CroqW;PZdxxb>m)@H9O~#US6t z7g}Y~b0++jJf+0#vZbg<`~ttJCHo?g-?+lM@S0rX1?ofVJTOy7^eNPB8cLiuAMzYL zB{58u7#u(J9_2|Zf8Zujdy=@$w>ioO>F7$I4Mej5^h)6uoCu<(%;WdSGsLfrzNURF zRAHZ-l8WY7%=@6oR{A6(LwyS!eKaTE+eDk#KV8;Ob;T8#`tRAH;%_Pm_E!H_a+2^b z(-LC|G~+9;w}ERd{t)oTz#Bf&+eywPH>yB?;TtPvh`x_kglZo~vIng{(y>y*IZniK zY7+QhjQ?og#Y3Oldyv!b0r2+7G|m5QEHb!e;OW~;0_{3+9(q*faB+-{S#6 zIRWRB4~TmVeLaS-wMNvgz&OeUb4_FEDDxKP4I?Z6#n>k^=i?*xT;fj*N1r&>Y&F8o zRF3m&$42Qn0Y3d`zF-^2({tvCJslx?hffY$G(XZLnkoUr^Ag_&`1zi`+5SlMvpVOJWf=V9oT(z7!qO1a`Lr2T-= z@bdt>er+H2V_#vw@0dWVVBeY19DUegn9ntSg#13M#H_g=<4^k#THqp< z-At4{`-CIthk$X)aX<8SoVz}OUhT+0^)bHczgUePKlVRn*%9M{yr-Cm$MG(h_sdK0 zJl_B{(X-|Oi<~1`42+zR>_J~Uh@WptL@F`4VVN zoOIzm%&w84yywq+^jz5u`ymGP;k_pNs`=o4b51@CdL{3zx`Cg}x=W8FVj0|AIZpa9 zj>C6>Z6i3f#fET0OPpu~0QDcEupdRvWM-wI!ZrN4ZWztX8+6I;h==OqF3!Yu!lVsW zJ^wj*k{jn({j;=p@wYVP@HM%my*$ZT1Y1j|2W7|57U9>m_e*&#zBH`!XiW;LDUk{TU%CSuN&hX$EP{~3_b^Nx!KX^*;t&9pZ>)vGj zD4i?e$NYf}AGhLk5Bm%H#kltidXwl8$iIZ3|834W%t6v;SSY^xqPdQ=jq45PWlN7! z|9`-P<;5}l$&!!m=0aR=cO%3>^R*waKjeTL@?sJYqIyMklHwk#I3t_*(z;Pa{_AE5mOoT+?TU_T_#S zrTta$m|wV934TjHr}V~oVyIkr=MCNyCn8_jh8IDvLWrr#8!+$B<-UUJFAcHH*?Q8k zlL#Iju_s=Wzjw=_HXQ7Ba-|psTw~vjGTh3)M+K3e{JD9C^ltnOU52?t2M3Dp=`#Gu zya)ZPaRv!*uAz^fH`|$LJqOT>2CMHMykfRN1_p$Z;N@_?@Ns=3<`>~}CB+ikIGF?A z{>yPtOm7>#*a+$FB)pn}m*|CH|8v+7&DG38vYqEGmt0FCUZ1BA^e2v2 zB*336K30!NI?4HK^ob8xfuG=CVd@9J3?3}!+A;6Pp?>J>$SCd4{11H=Y!q$HXIPxYg*VxB?t9-NWT`R&jf^q1dQ-e!$;Uxz997FneY98>G zz4|_}ACtb8x~|lbIUQr*Lk2DP{KTMAE=!&vw+;Bs7uXkkb)fX4?8m&nhF^CB!0W?n z;;$AyBsM^I6CK1`;$X>O?d5@gOn8)|LzNf#l{ZQLHV{22yyn6Ef|$gqX_!ByKkd+M zL-@j8P6TSWa~kHC9k6+{L;i)2%XKlo%w}ACng`iz!KNt0N&Msw+GD-|H|Q~Z%PePR z9L}V^sLi~Fd0*tVK{t(_900<+@4zqCEc7EI$o23l^e5&h4^L75^tV2Qw06s3s}d=- z^T3p;>F|fNZTss7%=?Vfyo@|DbNrfqhCM23zbX#KISw4S$TD_1U$-_%j=mxGeH=Uf zJ@}FVchw(mGr(QJK6AEx1f3p;28%-@DWDrCLTr@(Ro#oY_WDgy4O-U;Kmfd7IDXl) zyBl%aYD47N<#XFGM)@F^_r>=Ie%r_iSoDMr6VCc&e7#(E;*4|bmz+QK36cA7@CY+) zR?fq4Ptqv?P{OJg+7ZI9Uw^X`TLD#Rw| zpBzbgwhObV96!hE`6^$aNuc(h&U4ZJ(qRsS7~sHSmsFYxJJ*B`$cwRX4gVOo3I&w` zPXs+OJA?8J#zls_hX06xrZN87XA8bZzwZF10Y6fGsqS6zd(`NQ`vrV}0)LbAjs>;wql;KiJvovoIoHbI zQtm>!O`Vv?=TI#Dw$zAWJBvAysO^h)kOsRw_u_zY6PLy$oBO+$FapJx&OxWd=R z(Dz(KfqlH_e^XPmcl>}4A^lYT(w~WRh3gg8StMUKe1(;uqJHw9J9vGkqS6}#_)1Q5 z?ziBNv9BI_C7;u#C79%#Rex3J zVSW*;?}HlJ5A0?o{`NkN0uL5>kMGaI_l%nF&W&P;WB;|?uN#Sr;8YqGOBs-Vuk0K~ z=U~6QvmEEkHf=V0$8eU`oB=??46l`%Kqn0f4`g#thH zeD}ybn&v=1snZC&O!1B1G+3TL4*f;y#>$T;v154o64Gj|_ka&0oSo?|lnp!B^(zj- z9ho%{JYM)}d`xY~4>ls_&;;d5*G?o}r=MGL*$_Rj7WT);O^40#C+U-aVbXmEu1Eg5 zCJjgb3v(N)hbw0adL`SDFHcO9JB-vIh5IDR}W+=n<;T{I3k4F(hs_7kqb z%ZHi7{f)QQg~~i|XsWkzEY~3Kz&?Z*u_QPm2fRmMe|#{q*qFuh$ulSMFaH5Oz=ey# zZH5xp{B5ZeMvUuBIORcZEO1nH)*b=yj<_~)CG<*;PeioKqACoST>t<17umPOW@#>{ zAcp$j*uSMc{K?$E1mC1wzju9TA&PEWyiTO@7yv$j-rbJzK=5<2En!3u{Fcl^obIbW z5%`*=7c0(Ae4HIup$9t_WKQJFA{k3F`LdA(Jmtf4$oaBADKy2mZF33Y)%SCO~jeb4F;!j`GcxGiRqURCh1nL`j=89gr;ZvwtUFCOcgq&~+l zYgv_F5*|$n45sZ3e+(~VjGKn|3d>a`uGRgc$#{}nRIIQ1`xXY$pw|c@PIOUz*<}ZK z=4Tg<9F$638CV$HMtte#5)z2(x!=}JBzgUQmv3;au7ZP!JlK$E_NRt?W8A_%5V!5a z$Vkb3pZ0K9Kkg^tnlt`nEbTxpYu4yA;X$`biPAZu3X#D+-A>5A@SZ3MeoOX;{25QP zVZ86*V5WUih?Z+SMg3UtA@uQa?&{wV0!^tyzoUcc24DZsU$}jA%_9%>{VcF2#*@8p zMUDt-sas{Xt_N z=}|i332tc+8rPo=R&MC>OfqVraU~*@HZsSIkVod8%f3m(a`xHYarC%bfGGgy2Y!8R zT32ky`O|O~e^!f$7D9WB&CI?-sprr=8DD#asb4kEgU&Nw0`oqfJ7bZr=gZ{D77yhG zcFmH{D`;by?yrBjX>k7Np+}bX-yVsf-EhaXYhWg>->t9+Jy@`rPQK!!eN;t>njgeo z%LB*l_baWMU+_#-y`rbD{5;2i^LOMJ2(vxy#3!}3BRIz}nD0eyhpDZ>3z1m7zAf$o z=AcIPyES`8xU}dsRmt0Qbgy6+)R@SQvuqg6Axp$K*Ya z^H?P=cqojc#cZhkeT4X8S3>V(Ow)kZr99Yc;PWte5BH0FJ2M@L{R%f$W|QAsFzJr)w+<56V`VM+!9rucvSBowf7kvQ?&o!%#0Y1#HTo86;u<}19m8g!=(vv=7 zJ+=C#J>jYHcy`wu8o=v9=#|p5G$c~FX=~t5hAs5=>pTN0_pu`6J2x><;@UvnOJ%3a zd%14s40?$;Mf<}z`HXh^<^9W}Lf+PPq$Q8?c zL{~n&Gm*NX$o-26@Wnff_j8zSA+F!~vw8#tpq6RF-y=1Tm};ZE;R?`Sr0AgrvF#+jpfsQ9;YLzZhWFMF zjLrIEjP`BqxoU`Sqj@RsV)!tMM9lC9%=?U?*x`cQ7xzT_BA1Q>_PH>#@=14&qVX`| zjyo_>^ZfVY=$Z+^rIRCM&c84VoWCi!;Qx!FWx&_YxQ9Lq0ifS7HgPZHY)AdvPi1TW zPX%9+wPx8s<@_bO=y~~j2Yrq-NL5bQtJWlae&9@g&3&7%6G&>9%3n4v0>Ae!a=CI& z8Rk#LU*8YOK7;-j_TBW26i(Gls&-<^&$p7+r|6^%?<%SYNbpA2O zi-lhpoBBn0`q`RwzQgDosve0AFYcEXTwoX)Nk}!;^Dn^rMF#LZL%6NZ;0G`!&H?AK z2LMcf2h087_T~)b#~MDgYAT*stkLwi}fux)6Y21|BL~Pr_H``Spc40aIe=4?H&yA*Wjpi`0{N zPuxcR?tJ(y^FF$tao&?i_qH@E1_MCe&qa8DF~9x>{K;M6^Eia}3;RpIhOb%9^WE(v zNBiw?_#$zia#POK$*w()&h-i@Huz)1HxWzqi6X3^qLtm}w#8(-gc zH;q^ZM(xD?g7;nChiu}v&djd9>NoKVB)E#&MSSm~KJU8@#BsuUU!|)5v`-r<$HIbd z0>OS7ShhO+6Vq9_LEkIp)Sv2_q>rp)mOt@vr`#jxG5n1uM-s<4e(UKjeeH&AIH6r- z^}z~b_5RFEBiZ}rVE>K!NvwI*KRp`yewoH2em(mCe3%{3eQjHUH_kTyoLu811iqSY zG4HdFuUjZFmF!m!KazcBYKdXTi^^G^^eG!~qRVT}ad!?embrB@^h(q;But1@zwGD1 z>LWV`KL^hR-J`U34tZoejYb8dCkazUtuKDf(EXM_a_<1yR*E-i?^7Q?`TZxZWD@hF zW0r<0A84Yt?gN)3sSh|mR{9mZz_(=l%#@e6jZwv|{~3MHN%iAE^ucfXn7r`C5Mo+f zFZ(d{sh#)GbHYa_>BIDg-yW@4QR(y1H&`DD&RSWN1zi7{rD@9h`MJpOVbD&9`Y@9Y z$IuSo<_|!>8qpCB@}IziWdY=x58cM|?Z4ZJ(tn+ZdEnF?V^uKpO7=f?{W_IEqv$*^ z)0ZSBu{A~ctds0014ff~=xM10W6PYj@QcZV=duA8zFRZwheangMd;kOH9-Au7j1~w z|4vz6bd+_W9yN9T=#M#K0TQ}aH{l#LxMCu-sI9dz#S)ggjs6^7U{vA<0N&3t(Fc8` za2R!TtyjLnX6P^6Q;q$C4aC%B0y$3EK3G)lm zhjX{ou1MWsl->=0s^l@U;OA%V+QbB^hC+zO%@YZ=gF=N<)FIlB-fZAaM2R8TI;$t$Is-t#gz~!A zhkxoq6C}14yHW!VTK*VGpqtJK=pX!lJSC=Fej6A?D>04V?T$RvG#KuGO(%}UT|b(k z@4Znz!kgHaWzrnCzaNQ>r~rE^F2q@meKPyAq3?4Y*O5s{bj$}1?WS@1zG(x0AsYtX z-ZsQ18tg3GnoG#N|Hu6q?n5hv6(>~d}+`owXxgcMpcHSR3c#I(`=FDid$M@PQ-# zvCw8VAT5i~In61MiBmV=u?P?BBuZ=fKvM5IVm%u~EccaD&*Ohx0aC zKVQy94vg(p9n<3JznNInHSrgI*W5zPO$;b&6HTYB!4IO!!f(n#Y(k-t&KRftj=G-* zpI$Kc#DDO?fHcD0 z+B*yWm$w+#KS4}I`afKwG#@w7mLeF$cP(CeKXzardVT3`ByKJmV^DLPdE87Va6XA} z2-V(0@cBJOI4?0c7x8BqPvK9Mdu6YBQfKt}HAOL*o2&HyY{C0aaAnhj2|~C92PY-ozTwZP^ni2{e_%iefaz(?}hw}^i!1sH-LXW;IVK$ z#HY!jngbo?t-miMiB_tI>DjT=pl}u(FuyS8W!fOTUx1W(ci5!d>V0Dfm}*FA1%|vwJH=A%9Vl#$ zA6DwO0uPpR6J0H;i-v>{`V1G7(Qzg8YPvTWay*q*eAt(*~sr0>6 zIa+lb=*4o5IdI+3UI0g8d&8uY*@U!ZjV5(`iLsK7RRZ;T4t1d~8f6~*7xVsg=p}og zzepcR`8L{n5C0hFf}Ly=iQkePm*yJ>Sa8OEjJG5G2m9-se%YiPq`}CS@Pey>yZWfF zhpCPXzoqo*hNRIQUL3%0=`g8$7pnsiT)7=zc8MzOtFu)uBK(%=I7V4&Ab)P~A|%(~ zoWhF&v-*qbg;FX94qt#j2Hous_+ccE+s~6^jQ`o5u&j#t?&}=FRMn{m`Yf7r59K)U zo;XLnEQnB7j-s=CL;6qaMJaa~JS8~~f16HYbN@X)EHp!Xavnay1^V@C6ZK>Op(EZe z;3PU=emRPD!0~aR>dzSNEj)?(;KQ&FcsHJxyhr)w3^*{{_x$~B!y6ce!GAc>oB(VT zJ6R+jc;~kvny0uNs(&8*WAa>o?4*9lU@I~8W47Tz<=Vb;$bFHizN0MMFWfJkQDpF3 zvH%=%juljz7DH`OU|NiQiS$sIaKA9vZl4cHZ{$As0ReD4`-5^^PcE=ZuhUO$Q{}yW znRN$nI86yDBp-i&I|601*n;_m`E~8!M^PRX&gZyJbD-nQ;G%4g2zmpodD*%F(ovycqXl zAFx7yfiLKp8G8aYWDc`v&U{P=J?-FHug`chp$+Thiel)MI5vH83H>mfk8_My|Jjof za=%{Pg}m zed6raJ8|4W{C^F5r4qJ!vsbrmLzx`N7@9!+4_&$IRVlHQSCVfq@9i1p7dgK`uY~)d zV^{3YbGc^;JSE=aU%@_E;)GAa#22yVW3u#D+)hhVesx9^F?Hl@V^Wp5%#r)Ec50VYa z3r}#xh8*GQ{}t=1zTX+(JwX>A`CpLw$ok|N>|b%|41WY4oL$gQKcro&mV46aBx00l z`!Zw>@WlKgaZKoSGI#az(>>yiOk%v>UidA?pdR&l4)|m6YyJCu5^-H<`QPyK=8qTe z7v95;t5|GsPNDfFCmPQ^XanH);{$Ke5Y1yf52bRzCLBNGp}Fod&N3fu$g+(5bT1Wp*@%2ykv1fYcA#&?*F-v zC_R<4Fb89T_A3@E z1txtzfuGA%<_D*)8UC#6kB?QK==EXrIp(BM8)Km|vEoZ`*Epq~@)A1#5n4B>Zr!XW@K!m;DR< zeJG4``~~T<2O0e=gZ^Z&bfOPImK(Ep2KIpP=cnQC<>T8k2lTCQ++c60a#j|5(`eWQ zthRW2Z5!|F@M>n?+$3}BI6&pO}boFqSoUwzYw9lmbP~}W?3nTvR$DezUbpjd= zM>$LH(1Sfza^^+LL-3RsTs$mG``U8TO3xEThUf|#v(#4t9xV3&jT&I4CC#reLs;0XhFoU|oY`{;*XH-uY$CYBoG_;b7da6(Ir*TxIbcM+3%{TP2g#`q71 zLd3`25jq3gcmlyQ;pc5?3yby~gV(a1^@1>ek~M1wtA1X|(c(j>6AZrq`?t^BG`8}- zwQ^PAQXc3$p30#A_L0R`dDD9_?{|WLjCr5uzS-?7>icVcD*e0yC%BVss1O*;BRdkb z57;A-Bwpot*^oZHAd@_|rmXXqobjrL$;4~h?^hzf$o!iecj2)A&?H>_=52Am0O;U= zeGc!LW-dja00)~ri1@g-JRwT=L|bjCJ@-j>LhlUhI3rt|N%A7ca*duSWRAU#f9IdS z3%C$$xU7ZVNA|reC^7hW^QgKf)#VC`al z1Y4emgQvb{4mcB!PZjQ3#a9^Q=}B??9+{Cv&YZs}GfsOg*W40Li(h^gf!6nDG5pEg z^XZ0MND2m{BFybmxp1%kAmzqY2k!~{&v)1trNJPcUyMH=m=UkB$fJLXLcN8))Hfd| zi(k;=#|!fncEUY>e4HGk69Mc?yl9jFHbalt#-=LT}V zeH&WN&&_TLgmwGwHQ0x_+$Ss>m*2C?H2aQ z4H29E*!`mM`V1CExL%Gm`Uol`Q#Dh+APt*I-KECB?y2oBt zq&;6TS=tZxV+`5+-7YxjGqZADXQWWUVStuTL3iaG?FsBVnUk{#IRgl%Pd8hM?Mst- z;(p;9G~Ab@mVRoA=GF$;>ApAHBz>LTT`hW!9soZ7gQ4f9?SX#CI*EUT^7P}OhqHfV zCG;1`wRmZN(Z?EO2Yy0mGx)7pCYbIpXnK8r+!>qtn#VqVxKMSmV~)xf#{43jzIMLK9dHYz51fNZa-ox{hnCmb>OjC4 z>=`{YRrh?2+fWS-vi3@#`{%~5Dqky+cs!exaoJ#QL0jyTJ2N-|^UF`gm)s}6Hfg>A zetF4bwRfim1z2o73R7Pr_%PgK(**O&CLUa~qcoQWza{@R*TGSeV_1#(g>$2m+9gm! z#&CeUUY)P!-MI$)Ez+KtX+5y{qdJC?J@fF|`O#%wRCF#e*f+Fpv?o>N^@>w@8{GBnH;J9(8|H|1NYdXuT=auxL;%+3LT&IikT`U4AoxtEN`;#fodLj7yLmL#L`04PnCT=k=O=O?rE{HlH+{X zd$FCjJov@pvxEM!iviYU!*m}1!$bOvIyQ19uBkYS{G;?KrFc*~#0d5CDK9$lmBd?+sI9n#lHG` za3ON=ycC^1-j_JOxe{{^&o@3_+YuiFCe8+@5qrgL&@Fhq)guJ@KIe!pqL-Zgdr1+p z&mFihK(^IW9riT?=0G9&Q}f2`$YMmhn*Mp-}@7` zT&;FHB`e=%L8R`%z_;WW|2XGx{haHJ)jj1m$j`FTX;GANVtSMM8q86|kEgi9wzPzM zp;8khKikY3`o82-bCm~OZh~;-_xOdmZ!4(AhI=+ z_#6(qQW;?Umu-vGehS}U690D3ONRKtcz$AVo{tY9wYzu2{dD>Mo;=P_KS6?z<|O8r z=*P}T%q98}(;j+N&C-4Hu2B6P7kCpMALWX7B@wSpsyM|F*WR4_9JveWb~UK-1U# zH0A2FEi(An(BeQAeaAfq4`QeaFU)-KKIX;dxfCj4?u`xl*X7q`y~hV_a#I2u{Ktn z|29TYF5DGepjU9NetI)odI#I3d8?Ol8&hjik7wa$md>&g+ZdkaV?V~1RrzE(&jymi zvD9T>;ffaLuNiM@L)dy4OA-9S|9rUQ@yu7?w?oXL+5_mUuz5_t{KCD3pJH#y_?C}2 zZ_j|NzN$6u7Y^dBL+=*0pfkWNmOhNO(6Jf-&_6bsI>IpgV@o_){(JCv2CjeVF_3K7=pn`6PGh&-<#@;dC4EypNs0Pv#sf z{DF>Kyt6Y(=l&5ywv6FM-jeG#F0Hktb7-xzTbn?wSoj`crX#!;JbKX>20P*}l_pRv zE0V=_G5ppEGEX6ovT^%TV9p{LVJh_y|AZsW0taCP|&| zGVqhz092FiP0yR&U)&ddewHz9BjSWFdkymouf6|FykkgiIRMp+M$ke~z9#&V!;akoE2f)xiN{pY~g;^0mK9 zRX)W9Upa>@w@KArjwg1?^ZOTj9?1W@b1W3cexGVr49>yy#GfN`!TAW{8mKd|fy&Jt zYOB}TJ}>qAtgT7I0Wuv0{|%?~FW++`xcCpH)=1XtWm7DLOA*!$V+RAIa-qL)(S5n$ zG!8(WlSgqMfP=6N{u}xGwqbrjK5}=SnHb;o9p?S2$Sci*A5-S8#CW>PGBNgJEy3gQ zyovW9gMZ=YmwXt`V|j?FZA~jw?)-K~;@+8|r?a(B)Ww%17UvSEz9V-RdXtD^sa+1l zwp-s3IFB*z59hJOtVfHQ1tk#I^*x0@neEx;o|g@_F`VgOB3=trNCs~leyvyU@Z8}W zJ-&24aCIk%2|o-YTn*#xU*Pk=F=BO6nw~!2a`$>i>3%ZYR{PN#CMd59 z=dn%PbGh}Rfvd0j-a<1u)q;T4Je2OS;h>%$Nlk=ziSUCR&?nRh@u-PS%FEBSWK#~U z;JwspS31asvlZw;W<$f%|IdqY&DF9vuunX_O&o4Z;A2O(J+v`os4e}8# ze4kVkiI26rA9cA_uyEO1Dl zwKHK`d3EhT3voTL7tUjhud#Oslf3ZcJs#Q<*~FQo-eDg0$%rRT#DXNNZ}_fH>u1pw z^vq@KOC!{S<0o>4W;yNBw~~kF{gY-fsA( zP(0NF^9%d#*Z;2{CQ9{}=iv46Wndd)N8*E+Xd-MUN4JDtc$NEUo8=jtBC7lw<^l#$ zM?`2oBqe~hl%TNZtc~Uf{Jdy3KM0=Gps`Pi=KjAr4&V*gvj4*2;Q;Ew$Mqh)Ar-)T{fKIM48tan!1Kbw zw<6AC950IUg&&6ZFwOl5*mt+`;5hO9y1HAmFYbhXmbaEdgZWmTCmo5gjsst3 zYmZM4U*h;vS@_4qmuPY!@wJ_Gpxj!Ue`*Ck496v(j%uTR_p#`CWq>aHFv3f5xnfL3 z&D?e`^dU0`KLh76HsqB}R(?F@Y3`T41pP(gbtPfi2k<_bnxNJ@7WpRTR#XP>Li%Yi zzwqnm&w)|Ykmvuiwj}(2w*<+Z7Is43iT4fZ7Y#mVE_#Z-EPlXr2_?pk$GiGzze#wB zA@7YKke0%$-v$`jm@)yWc z!4UZ-H(m1!n=(jj_=A0v=H% zK)8?iK6wW}e-dJ}Z7-xLC*w|$_O33p`aVQ_Le~yM zuVmQ~{*t0yH+%EvjXIR}{{Hdw83*j(AM3_FL{D)a@wv(?THXh%F^5U7vTvc$fCtGN zjx@&sgobM4^||fqEB(L0iQvO9NCD@uXaVOq$T_w1lvMi2w(4zd)DQlBg5)?`cSu6`VC-a@0M28=kM|FzZOl3M z%r|%)*B$$9uKj2?(uV~9_XhnhL(lb1C;@Mr3;yDLY5>BbMo-;d>l^ z96;mUp}POa{386qok`T1Z@}ttbpKiAl0ywG>c<7I?|m&4cYFbk1!~V7XO{YWI}DXx zhEIEi5!*w1Hua<`FYc7R9OX=~u@@XaXQe;}yjAqn{=LX7VlHp~^E7I}7fA3egE4@I zPi84^;GY;8j9$m4erEcOu}l|I)Tj0qeHNTwf0anjcSp^)-nGbnrT2NO@+dLCEa3rV zr7rQ#{3DV_@U*3` zDggj?$cxZsmzak6Mf?T}tppoP#_QL}zpziPdNP%u{xa&1SnY)hEHGy713|7#9M$K2 z#TUcL!*+o6&m!C}@F7pb+*N@A%a~sb*xmZwHB%$jsi8-6er-%gi|P<-gp$;>&%^uW&%to)zB2g7k%#+5_A9H))2|gK zl^@r{Og8+hQCl)`??Y}R<&VZ7Gcj0mkhk)TG3a65@;mxxZ9ujP^C6D^cz;Y+J>q$W z>|YNh`-m_10(hv~p`KdIe#GPIFsCdM?CJJU?a`R!Eq?9Ei;{>hquJs3d9y(X^Re_m z+1@c8+~cAJXSr?%K@X_UhS~|xE5BZF?5H_RIl^9^(l;~eu(RYt-9K7&&xt_l+DE}7 z?yty_{%+5vW8Cm(CxZOP8v~nldmsYL58%Aj1@$2y@nNG8hFD8u!mh(Qj5&Ps@T#!2qs>`KgPb=&k%6t&*>j~ z)tgqq&(EC8ovyl9UWQ&*&h6a}(s{j2z9Bue7VO732LS$96Bz#d&ZH|RYJ3KL$G!Bu zeWZ`$=L8d7M*MSQYd@VU?q(8dDRw-Wg#7*;6wF6@6WR>y8zKK9Jn&EB)aP3U`UD?b z0*ejtCwVzbu5DB_xI*Y*4lh5HUgg0U(kzUAXFlCkkJ6kh-Y=XBU1pU&!*x~<*?YUY zWYJU<($+qjMol{ZUir=YB7=Lta>i$APJAzT7kGfY#{4&e<0*?%G&gy|M>xQXpucbq zrz_@We&1%SvPz#qQQuVMZjJDj{J%|7igG`E?WEV{W}-=Y?>Zun%(lbZ2lI^2**|f( zG{+SfL0|4LS19laAYSMGGa9^c<}UX2l6+RbJv9i^;DnlASoOJl+)eJAgP31_VIXNc z^hsmgF@9BnA)L+wvD$BR5PldA7(y@NeCD6A&@0iRS2YX%G4#@2$3EF(!{SB{nne;? z+`~H9Sg0QRQ(fcLZ&%Hqu$|uf>I8ag*ni$US~&E(Fz*X*wBJpG^EKo5I#T?{Q(slT zn@xY7!7u19ICTUEbr00ufoK=aZ*6y=E&G|wmr5{^Z*CjbhQ{*?5%bHpEKp;9>GzEX ztg=@OwvPq%Gtnbp6b~T(0y9+ir4`Xv!2u7(Z#PmuTi7B{o{nWkMd*cbO6^9ysbYjzD)J`(2r zQ-6Tu^-YN(`gydc?q%}q39+`!lY4ULIB=BbeuZAid?Gx5#Lw_Ch(4ljXA$}a*v3D0 z8vF))0D*t(H`r<8{z_Lr-**|b`Zs_U!Ml(gY!ZB?+%MJMkEAx>Hh3)kKx~*2O4!z} z*%|Ilupw-EmkoY$O(>{0Vu@|y9`M25#M-akm$wbZY-Uw=7XRMhG0+Ryc=CP-P2~^R zIgIQO1F|cJUcnhCw7`AEec!2DtlE#a$%7CJ?6(KGV~#U@3qK5V4Nt!)GWa^GygZAp z&aN>h6nW&c*faLR{KEa=8^PUkXTj;LkMeI$CQAQ#F?2>gM{Qeem3?eZzf>B`#??{2 z#PrYiSt;r}a|47;gBB3{le$ulf$SRilrBC z$GpLT*lgtY!BLw$K7LrWbdH=ge z;x>XaecWYFp8F<@X7dGs{66#Pa8i zzZ$WSq&{ZST>eF4E{yBzD@>5NW@K=vF6>A!hv( z{Ot94PfZ!=P8J6LQ=^MH#A-b4D)1 zvxwJ*ZK1!+XAHr{TL$;gH~kfQ5MHyVZ^TdsJZNw6{KvZ1krdSlZu!vHEL;~P>OKH^ zcP?V#A;^nKe+JGM;y;)IoesK}%c_)8zl|M<|9g{(x}(T(J#<#ltIc`F0{1|t!4;rC zG8g3M2<25=4bXGtEAW&M1E_cyd>EcrTh*k^kk{5he_@Q^^YWcFUso-e7L7&&%6{}q z0q0U^Eii=3^&ysudIMltceu_a`4-t5H2+h3p8QsY$a#DR_Q}$F1ihSlD@;wXH~tHX z@Wgm33#{gte*WUa&#Ypl;lRot92u?re0(1qZ|xLx)8Jh5Y~;nnM&5k9o%%U$!7vdnX<8mBVxft?beqoN& zH^l}YHxCYQmizAd2Jl%fzS_DeV5nS2e@BH8%Xdu&dJ^2r3nxqm?}7srudLGJwA9a2 zeO=!{XJJrA-EpOy$=mwp+GW!|_DxkCLpza!&W|@!mqV}4RC|#k{aVM67vpo-JLr|- zYlYq|`dDG9e{4dk>Z03xiScfeu_qAS2=o3B2n$!Qo2Uf@CjSgeX+Lcum|N^UJ^N??5l~YRK}NP9Q(P0oJaasfhh)UnCRrOd3{=6FxvK z_>*}|CC@l2&xX8#!WKKIFTM;JQ{~Ozi97(eiy>?}hW7987K+n118;KXoK*(|)K5esbaO%}y-s zE7kDDCKv9 z*XPgR`+wu9*GD^N7w~{CaqmrwTw?$p$5$}FNMAsMP?_huyc$eye14o;Vo0vCy(dj% zA#smA!M^<T@3XO28oZ1R}pL`}V$hhUA3PqqL{Aj*sMCPaaDbAKAK* z=zC?ba2Gt6se0(|VJ5nZ^JjhZG|8UqbSA+i7xoqMVxj{L^cH^Mli(!nX>S&%{^`2# zaWE$GF8cU5Ux9O0JahCW;oQK*SWSj%zpfER%QznA>`A;{T-g)(O1}TsfuGDgn(IESLwLInMk4c%(|NYFck!TF3plz9~9qAivLh(>{LMFZRv_+%nXsc>b7Y zu%9{l5IElaJnbK$oc;y@s^eX-(SE%iUi$mZHH1g)+T2QInGb%+O*pDQynwESw)GRW z&@aV>OtD{Mz5fy9gI-_!b8OgxESOB31pi{n{vpA`bhp-e@#xl1O{Evcvg` zf!M|AoNm~Uty}dq<@gg~5jB$~NvPVQRPYiY0?XE z-c;&;L7%wHIW3~di@_rcZRtkCCqrDo)r>)5%;z1<)Ji~BxyA~_{L0}uBK4-d&?nBi zyqzC$z3~-GiNW<-D^op{LwgnTKJyPY=THYOioWP7`O|xtUpBLD0KKxN9B?li{5bA| zJWeMzG&b>}?VNjuUdgo)PKg=xb}BZDU45jtWKFP%MzCM6nxFXZw}96NJmd14=$({v ztBVokfnw`q8TAi{&2b%L0E)dTNiQ>2=Ys$f)dh{P4M{S(<0v6Qlj^t<1XT z{~q@XV%ag7=hO`T#SRRVnQB$Nr4#m}%&$RSjBR0o;K+W%FEX+dJ#|We zN#=qM(D{}Czfl0566+{euUcde*ET&u^Sv$s%F~-{Lk$`5mg=SN1rf;Ofh%z_kQXqw2#}S8~j{W=Js7qfE z*GBjv-Ln&P9|_(#-hMz5=Nq!W{}O&ns2ZkO{sdakU*mB8lwJn-8C73!S57thUpRiy z|6#J6^Sg$o(PmJnkKz5&6m4_Is*rN0+@qA=_Q6*70Bz8Z49ulp53}mN{d0{N9B;2W zz(2+XXxJyq`wV)eoGU(gr97pRp5(+v<-z4iumrDjXg%{sZQCm61M`dMD;~kLBbwP9Km3-Gql3Qh&HO#@GJEKcs#I!pfb2(F*IJ3XsBo*qki$$VliFygSM`tGk-@?jg% zlVS4bc;h`LJT|;1mcE2wlNmx?VCQ?a13q@v8(ks^Zn57NeV9m|yjbiGJ`6AspVaaf z4&oE+C1&L;Pb%sfO@lBd*>wdMPKw`e8vJF~zT-%ZkO$vjH(t04{rmY!-_`3efvOL! zaiK}Fz;GauR~DvHD}I0c(MJ8($iHkup6&DQ$iFaN{@@jZkL!`>bzofn*G{MS`xTBMb%x^og0VZd))S}<>!mhR`ZdUBV}K|D=V0o{_UT2*+7bOf~5fXVb}-(|CsCzSHhpn!8@}z1))}L^@=3TF~Tp%wE>Nx zH){`XvGJ0*;IEvN>pIh-yyFH#X&v+2yNBt22cH4mAoZ6tKQoqOq5U$79Uw+q%S43XaIybEUK34}ySpVelZe}{6x9e5Ygo8;+F zT;tXldkOK$W8UY!!No#nl}vqk z0XQ9BFF${~xGRqyybI2MpM?H`)56}w;50qYf}afP!SHn@hW18ON8XYPTUSAU;dA4? zc3vj`a-*GnBtPPGG@U|FbThtZhV<9h#GW~K zX77tvd`+6Gdox)0G&|R15+B3=3kX%do4dFA+`+fxn9ctX^_~G$-p%$lhy^<;#i&W_ z4FOvO1-(a&V3#5af>NZYfHdi#+YLOHsIkXhVq%O*G-}k?dyTz;1q)y=F)GFu{jZtf zyzlvz^CTjB-{m*6*1FbU%rAUSpV<-lUCG;&8u1Lk?BGDl;>HjBb{YK1Y#{1Aj9M_^ zFCd&ahV)H857pIizo6~#p3fQde<2>~@Y0>o_I#s8R<`g)oSvnXU$@1EB?2W)W@oEk z>*_e-9&3+o==)^hYeS0a1P8ro4e;jKTM~pbIu3r%XTYp?n~|q`u+G?z!j_un>MI=X zjczG=J)mEV@wQ)e14keHg;!0HLlJORfg$JN-QX!P&vQ_O`VJljseUoTg7Em+ex5wZ zl^1G0wzAJCZ3%r7{GY;iT~yEdubgjLF_tR-kBKBVj31fz20m;pF2XYpmz@6bnbghJxJNhHeWBk5*=cBoor@^YLn;i9=n_G>>;rxKL3k%@43_XWekJfzj0!z(*ycjS0_%R(Z z-%D{b@-N8WoPGs<1MBO9!bp28{UlFbA+gL5{?iH%IsuzqSZ!yg_6v;WT)D&T@0Pj#Oeu&rC0S`TT6K z$6<>>fs zVngy*iP?073&}Q*qXv+J{62?26~bx9X(_bmU54MBx!&rV`X+(6=JpzV#?m_=vU+X67H8Btaq#{Fj)V%ask&N8){?G zmjt{|;fo;cDVb}b{`?7^s^_HG692mO-15|yUd2^8)E3F=cm4wYO70(>b=|nPa9HnR z+%J-YnLb>6yI$Ys(jhKl#LwqEPK7R^6aXB;0{9qKpr?E8ACc+{*=N>1>m6|<-0iJ_ z#B1c6@au7p+P+uOf}N^?T-k_=9FV(Z$aR@vBYeq5AE<{j7@W=XX9pdGmM9fjR4!_AZE|5M^V05YQ&(6J% z(J#i&!zmH!vuTd~80W%~7vqoJXM-o51LnnIsjZ%e#^>qY)!9{eb+O1#WihS?ePWC) zzqR^?!7-5+Kg24Z<@|8*EicBrbpnB++_+rY%ewjCP(n)l-n$v_^P{b`$(=~ysGF~t zDP!cmP}i4n%H1pql>I;q_V?oJsy{~f)ejtU_4A3iZ79bM{Ny@aJi4RLLh^nceCZ5> zE_;n6FBUfcbQJxmO;I)F@_Y+^F87xnbJ9HKzIftw!g@FGs(?pKepP624fHCnB;|2$ zA3=yir1Wi(Om9&y_8R_Q$sP6Rs=2<>aN;$3;6LE`@dXPWteJZZ(xcU%hj~AGX~T>4 zxKsOZQWts7gxwG%V zyWl~8u{G^P+{(X!iT2>>aU#-1^Q$+|cOEpN=Ct?_?Nu!-Ft!5=QUU(Yv#1qW5?1ct zwZb`!d$F!&65Ht}V%}$d$`SbHYBR8@D||QrRL#dedGT`qLZI)9jbn@#aXs*FnD?cx z0(lPhCvLc5rW>eBOBs6C*aQ6i?R3tfVmS*%~gU@Yq4rJ4RoC|o5d}W6;rzT&U=q<*8 zS>RpF=l<#g;M#KRXJ-O2Hqi=tIj^ltX5}gWi&CjOFI3=%5l+Tf%spQ?cYS7CQFAlk z!ysH==dm~Z$Pxf5Fud_Xs97mbxrwVIq|ffdv|!!y&9~5g#*?1nKk59!miV=NX?-4L z@xo%9tM=2n;(p-+$o^R6>U!QVgvSTHcLy7XZ3Cz>iawVAg}DXX^?2;T*;gGN8>;@W z^(NK-9HK-gaeiSYq!MF#yNsti=*KUsj3B%&H>V(P2HaB8KKC)&`-yp<@g;qp-!gdZ zS?in)!M&cC^dU$2Jp+B|3Fovi?@Pb$QAf=~R;aFdhK;ENT(jGbFP-)N0B8Ij=fwsj zkT=g=n+py8;|x4!MGv|>g7Cxk*|{fcpC|HS(la}vt8$~z|H3lT-U){GFfnnEqL& zzKjJP$`OEnjD0SzkVmd}IS8m*7Xt16uPb|yzvG_K;!z~ES@#MI!TQ5rApL_)yy-pG zcOOq?P}R7u--UZ*Dt8jTGKqoohd-C~w|jo{%adJA-%QIQ$Qbp{4i2Mw9C&NtMSnL8 z$-3v3NNn@8coZx1)}mUuG)WHZB?ia5Up=zdxfZ@fTV9+t7)B{o;OKV+50-Os0UqUj zb`HXiJ7Sqn&q6?4T;ieU$>Z6Caqji0mg#aHx!j}J5PsmxZ1qPsixI9=zmYoswRoJO zeuM(t_vj5Yol79rf~8yzAe&Idj;Cr3RkUr z*F5dZZtW_%@?Uk5HLneRvdp=SZy3T+A0MlGfc)Xae6WMqk1$6ey#n47z*m}@g-V}{ zZJdefav#yMNa;68+GJL4@9H?+%PkI+9`x$Nu@B@x*Y#-W2~Gy5jN_)}BNz-gC=_c$ z9KTsMD~I}V@yk;ms>(&}7lXA2CD~Eut%cPH_QuuU1gFwSHXH?k*T=!CDe=U1o5x>h zUZQ4ffg#7T&oTFM!4i0|j7u2;za^h?cmWV3cwl;4|p;S5cVMJ52c;xBOJE z4@6#!ePw@mkPl>;KLE~TimX-9B>CQd?Bk-jy<<@%e-8X(2Z2j_i#~B4zkP;-590=d zl{54_$P~NJWst-Gd@}Vshx>((c}LKXEIIQcKVtjKm`PbQWgiOY`iE&>drL2UA9u%o zjO&AY#uD35FHJUUzfqG?V>_@x{%`HbFWCQeQ4{dv7)+AjuY70Z0+<6h{a?)Wi3n01 zLoe*(PmR{%dj18k1*`qwjdR~F&SQMsN!*u4>tT<|NGLXVpEzPnw({=xj3fNi&?PqD zJ_0aOH9tjlwG42eaXZ$}PLQ6UJ>lB7W#13ad*(%3rz+pC)nhAK!U3N4 z=$Qns?eUk`_i@kT%qs@V(_=92r!pwpD?<4Vhk}Ufk}LUI5Zw6f+v0xVe)BN{Y{{Xo z_lH9NJneDl<4PP;{SEsfxOP6BbiwDvy(s&OjL%OX*&7?H{qWE$TS2y7H!D~2J11WM*)FR}-D<$4~4_ z#>bT?H2e>}o_rzsh3Q`BiJzYP!M7Bj@C)q6U|$|)WlcXZkm1uLDrIm|hzngsE#y~c zq6k#(i|t#75XHgAB;j<@9`(i7BYm5G`FSgms&$|ylB*(s9-EtS-(CR?wlAL!vn?}VPf9Y9l zR0cMEY%+LCoS!*4PV}7(w(#@ML5>+cVOu$`IMG{kdAMJu!=~Fm3O!vAq%PxrVf}k& zHSl4WGhyvZ5eS-w)Jaia{&g$qz5l95lH?1^TIFgl7Wx|a^y_g39A@q#35XCbXu*vj z{XHTrH2*ovvpffCOFdzTbRkY!|6Z~rSOKuD#j!U$hT+Su? zH<~K(9_|f#1;vWU-TWlPGyf19iU52*n zs+{AC;lkBJ=-6m{F<(ZP`&TWAF|lpIp&bbQFKCE~ zK5l0);04V=)|yPtY-Ef^pLiAuyuks((kP+(bj+d-Z-4`LQu8B}D!ACkqXj;oJ9upMMAYWX8aU488qc#Z1j3AIqdByua=ZZhzNj z^JhgW-?74H;E!>P_Qx#Zl=eF4K`j#=k6(d#ze;Mg_4Pq;kPo_GMd7Wz?yC~icRZ(@ON9CR z=$%s=quQlXQ}(?g_rdRv+30%}{KS2{U*P-On3<%Ur$M>GXWcZQ&_GJE`?*JWZZih} z`o8d~1_Tqrm%UD&wIGCjC*R);KR@$P;7^9Dy<3%?IR9~9-zuEP7+CFS*ohWKF*;XKQ^Tblssz1W33D9foUrsrxeSHDp42|t)>lHA0#tC7UV|N9rr(&u{j zL!A1cFz++3yVurS;+o_oO~+{Nuo?F0R!rW#Wk_G(N!%~IxGl;dSH{y}ug+t+d7j8r{ao7#v?Drd7&XgN&1ckzBX2HV6S#}(WULDSW_Ox$^ITD z;`sgKBQ7Kyi`P-=M_e0H-j7vizy^(zUNoig;*HNM!mGj_8Rv-g2QsM_=j#V~lP@@3 z?cwJa|8Lu&^wWgjKMq-yMXak|!rw=9B2O=U{sy7H5^J}^$Zx=27~APN_WZ2h|5$1W zXMKXb^pZ9hi~K$Zqn`R}FLIr5&FS>=(7mps192@-4eNYjT6vE>9?~=M)!l58z9r{$ z3Sk4^xMD-rqHnUbx5jIvVaKh%{JcjG2 z0rL9=T-+GsOTGYb%tHR<01F7sDv|??uNQwwlDX|q>}935XLo@iKmRSbw%m(1H$u+` z>w~o~@V zB$so^?E(mEk73?Yx3Te#GS?Qb zuco}#_*9*9(wu18-{^})&XIGxCma)G-*~asRfBEp|1?2w&^my?upeXYW2KtNBl994 zBT92bWo{&VicR6fwGOklCQDzVb=x%EBVv9L|LJOj%K9Tog6F>U0wh^#o*jDSoZ6XP zVhr%*nalk4g0T#1H2Wfx`XE|Dr{F;5ML%lKdHskoBZL72({VlVgWyCJoo`-Fq9;zL@WS^pPmHbhqDMLXkth4U1%JEKPfhKP+NWaPhwW!xQ5qff z=MDcI<0!`8?bs(DgA3!U2iT8AwOdjP`$5Jgoxyo*GV?c5kXL~3sakS^<^ltAh3mBv zc@$PXE>=pVNMJ=$Uizpm^KOFn+bqWW1wO>Z&fqfc0Ex;um%8@xN_tznz>pqI_#l%R z8)l1svH4dU&s!HnRk?P!zlF|sE}m4A0bBKLDY*_BgW~YMWL{{hD~)n4cHh)6nXbW3 zF&q3b##Dq2DKaESi}&;QT#WF`aAG;6Xd(6rh;a|B4POlNbgG0(uC=m1^h(x4!y}3N z>&C7ztFL`#93AD{z|=t5cZ~AK9-9B0OVNZi_(aP>%rDGsinwKPK5=!7jrL*B&LNKR zRmS}y`D^$U#GkUpQLf{uYpO|ab=$nu@_%+x{_lo(dIf*^51kVvcb&GZ(7n!Aw52C!NcMH(1RxQs~jAA;G2(bdLM5MC$!dmivBZMuctO?x_2HDExO>mbp|nC zWaiT-|OvC9)j*O)T-BH)P`tIbR;16sx^a`-aoBD)R?rfO7%0df;Z{ zTTFbQuZH~?&-s2Py}u(PwFmoqGhur;*J56r@MF(@8%X^}gZLbptKY}fXoAbuJNveo zI+ke*cNhN{n&8B>9o+-=pJWR7Wr{0j;LJ~^9cK_rL~yIn~9%Xh%v zWc_<(h`z_ZDv9r>H_Y%ChDeGgA-mFxQOTQUd#FL!T33UcNA3#|tK80W&D+v^_gejaV$`fd2Hg|o9YTl!1BtBw4NEQ(4D$%h}!CVsrn zXd0vMOUy64r^?@zLTGyhg3p_n7jHi^L3@W%z`cXqdm%7Se9OC`R~`iJuhD0|^b4&Qh!ctJaG->i&zsy z@_=~kf^i=`&r`v-l;1Zjj6ivIT@9Zw=XJaEeQgL&+@d>ii))u0YhpZauK~#WvybSW zi}DuUMJa#kS_nyeF{Z$fp4(;7WP)v#W*`^FMpBndVja``GLy2fZfXSn7_X_#xL%~E zq1jM6)p}vjwM|+2eNGHhy(Pd)^>yTtWv{j@mblj9KJ?1}^N-=SoA`c&J)J<{^bF1i ztGTb~yubR-K7^^C1H3+dK4iH#=>DL7zV07ycnG&-^M`B#He$J{ce?6tz3&*+>LgfS zuAHO#tbdH`5h?|l)|;x&b%%wEJ6A)uYZ5dc!NC13Fua_T*U1VL}J>+g+T<{(WKR@T;gD)DK8yt2W`Ww&J;Pa!!CGF)+KeA;#^2aixp#Ww)s0|-r zA40G6Y?0Cn=P~&_7P^pd&Mrogp*=6U&@Qy`aA!hFS5XA5G?70G!A8n3D`Wh~pT=_Fn48Zl6d_#2khONrC-F6Z1ZN2W z!JiuEXn$>JI)PpV6iA6N$R_1Wi|RSb(~XW1ec1>#$$$Ugev0tMY9cQ-oP!L=i+#iX z1e|YJ=g%F3yfengVXmq4k@Yb7H z_8s{A463w`pqFU33qhYa`(!3g#{9xLrPiMG1LT;xoo#71&%57%Z_70=+g z8TjJT^ZV@$L*DnfnD-gbeRMeejK{XuPdJb9++GuW4Ia!Yz|Rk#xC^e6xpUC8Fg%hF zugUOTZPxeXH0%%7;0c%$C_KE~{h<#t(Bw4sOYjF@I&IcIpK-Sh=?@-cL#Mb`U{a2p ziz4p%(6Qw>s2m9<*`G~!Bpe4jCPA+RCCdIPc%ah%d&G$r*9DpBa=dcOx+l<9@e5s* z&*!V|$iMJ>^>~EtCt4=!{Rn?D+eQAx{POxdKm)tONo={>k~I&9dEY<{_!j8tqI3Ob zXnyTwdGBT23YsssL!Sk3->Zh3NPMczE*jjc<@*4=1^2;)!~F7rdkLYxaQ~Vk^h)7z zo&axX;csPqpjUED%0+W_*Q2!0WK4+i-5d)Iu2KC0ere`#w;S$Fd}_(~ zm?3<=;@C`jihW6g&%L#O@9QM(8$IQx{=>v9?Pu=;y^?|54ZVZ|;?X5h_*7qaizS&q zr$B!Z0LER__fLYmjoLHjmIC8&EpDv8?5k_7LyqP&0KYfg)vvzSp0LKQb>(gzwPpZG zm zxNPT7OrQh2whab<8#-d^-pHe14P{?Hm8P+t_MZ<4-k??rZR^j)3Rc8-yA{qAj14D&L1t3J^-5fs`Sq?~I(gsoc1;GZq%_7wo({h`0`eLBQe`YIiMMc*p} zpf0%zZ*wuuW4oA#u_v~iLv+)qzXZgD`QVTH_kG*%{&2~8WNp@7~$_axHO1I9~En0lgD6 z*Vz85!R!5Fc+N5&xZdj##9!wp$7HI_Ao983Kd~TT1O6EM<@bk^^s?+o7Ty0R=#^jc zc?bKb_e~Ly-E63y_%D1a@QZJ~V@Yl2eC@KP6?$f|Mu|s$UpUT3ln0ys%B1H&_)jE{ z`q58&T^5xY(tGo&yf>whwe-Zj0=4TPd{1=P} zqeXo1fInICrap-zJ&Wj*lf32vv-Z+0EHz|*aK=vNze~tz2nRI9pB{0%cQg7d*34{n z1${}9Pe5-U&uIf+Vt>WP2JqCGgZcPOw(NB(Hcc<*z!w`W_@H+!TmAbUF_PQb3BM}i zTjDmS=w5QFa&8Wr6X-VLykA4#=g+;Y59XJ4IS(qppDews(Dx-DZ=XV4P@nVL0V@J5 zxpwQZN#YAWi2qLbxv2$4Dcke@0567n!g@r|DDF{vAEZ6K*Ddt9G0BsHFgE@(!&dUb zC*g-f>SKTUGgmr=_`)>olR>rEGzNSN;dpwXPm*hke@9<3-*@OsV&2vU_{VT6IvIpL zyu=B<2$lI^dX!1#vBXJ{(zme}dZqYd_Q%oq@dJkhtPd1!RJYt*g4}uI?-$X;$C~41 zW^$Jo;cY|mo-k+uZ&=4~OOA2}kw@m7;u7SMCEs$!QFGds)%Ei@TF!^*=uEr@uUR*N zcnxxTc!F{!P8Aru&s-RsL{Ti5HVz^@rE)joJjT9_d)vT+Wk07!S7Pedqub%)n;v)# z=QZ{h^-rTiESte^DO|i#L;0Q!qs8Y@74yp)?%j@vr`r7&jm?TTmFsaA4d#pfU^$t% z-t2y881ctY+-4}HHsB=CYopQgw_$npyVGOT3Y5fHQ%igho4`jI{={WhtG`_|k5esL z_cljD^m%@zKsoRWk%y>^C+TdQyO`V8DU*I325|kuO!Xgl!UvC-UafISw3ZiEwT5ax z=9(;-b1FcuMCiQBFTP&n1U>c6_(bgk%8!-2X7wXx-9wBmH5zciZwGr?1KaQqy};{Z zy=R9%`SXG50p=Ijeg62|L-#m!9VDkTwspSrQZ;{rejE08eVL zBlJqvmkVq~HxIDM*PKIhH}OM!YfdKAhHd|@f1K{Uy>1!85qSn4SuHrE!vjdxnU8Rv zuzjjhaHLIo>m{R9|Irv<6ZbIIoLPJ znXbV|X|%<>U(x5^$zv0UF+IziuWFy%_$2K)`Z|avvymVac~X8NAipU0$$+lv3w)1$ zIX?KkNG5;8oVG`$(QC#~e~bMXuu&DQiC!{C`zu_p>_dG6o(S`8=EjRp&y)$DgZO$c z8*JM>@X@4v*->H2Rq8ZUdvNZR8BAH9REl#y^QuCuMThokV$z=YlP<~+!Mx8n2)DQp zJuf^gG*~9677Jbt?@=PWiPybbs%FYL)H)9PWG*gl=}kD5?fTj$Nx7i#t#J)RJoFd1 zqW;=3C`@?m7cjpt2BNW3qH+@t#}Z@BYQHv@_YIaBSgWlm^|vRugto22c}O_S&;6+e z2g_@Q(-QX4bnws~xNrwz{!)Q=zVe4cyHgeJX$Z;y8KTJtdNN_|PwhLKtxW zdyM#7x=n=s!u=d|Qv+ggKt^}2!H+1 zUij~!FZXuD{KPg~`%pRWABr@Q7Y7N`BUJ}lYo>Lu!LC{rNB>QEb-iFxpv<%8zQ_a2 z0vPW=wB!K&|1=X)JNQIy8*G!x{@R9S@c}I)N9T;oKE&9SaqEKVZ3lb+6C9PxxwM+{ zFTPDx{@+d~&8OT$pZMDs6=J(3=swD(Kzf+obx5L>90PtcLa$%!&m|Ve`Ilc&#D2$3 zbuZ|ZqGzm4CU$Eb`yBnq%!&0!9{B*?e3K1I;Q<13h1^GXEh!KF&9g7Z(|O~-k?B6@ zkC*-8MWZ5Y3so;6FUWZc=#{9)_~PveKg~V-Qf7eCzOUs{4?>EqpXZq>v;nmozt+Qk z0C|Qzn_X0I#?O&`?vN186WuB_q-PoVwS_HVNDA~OjOPy`D`(O>*m`E*e(B5sNLz2> zcy}M{(Vdw4y~B@oPk@syK8x7S|8q~|E1BO=*Guvp-?vMoU@o|FiY3Id8c>p1drL2t zXfA1ooqW#A(G$-$*zH68sWsNEcNSuwJS=C!w$0#*_nMts_o%(((%rC6X5ZECF&@Nq z92+iX6R1LohwG=)aBy&joxNkQ-RU>XHK2U;KixBiWM9@^`;pUDfH%%XF5uc8-UdKd zLW1hixPG_?a$+a&!vOvcu9d2O)7w6hAKCtDg6_E^tf&VTs%WoJAG=Sk>O5awHQ0aB z3g;Y|yDCJ`8MJ6GUlK&^xX>%wf<8em{2hIKqF>wD5_37e-JB;qTvMO8($B!A)Ekma zBbZOOEtV#7zI0lVVd4u0^S<=Uzd%1Suv(G0zZw755%Wte?sa<;B6FQ1_Mr86@z5iZ z7)Sbag<0oua~w$zQgWc^b&>tRgTearza6+=c)h>JOgs)BTYl5v>!sab8?we}J25Fo z_q+HUgrBrCSbbMZ9BC}`xzJ~UscP$xWvO&@I*1nVk8#b)=8|~Y%YNq`3Bpx(wL^ZN zITi4a-9;}@gk=!1t?g^*FVa&!6@3=Wn|$p?Y`dzt4Sasi2oQNqdm{H!H?&%O25@%lW%yw7~NHlJTGm}eV!%S4Fr_dMGbdIz3vbFcd8 zeTMy*?`6CQ&wD6Ow!5`(YF2z{qHd>9FtpKyxUQhzwJ7prFw1z%FKyUadBrH^Ko9r< z@_CQ-rgq!^XfU^SCNZ}5<;+aI?xFAVuiX%H+XCRz#vX>xlMk#ZS+tyUeO_V8A^OZq za$t?z6NQ6&pcVYKsP*}nWv0F|Xx=q+e`zQF*o9SdwYNFaU(X4v%DDum+?7Xs$e!R9 ze3%RV7#}|^(f`a}*M#fY%EM}wPLm|?S8NEE>lF3?46x`QLxW++Y19RLP}npMfp1xr zgDdd+42FH-2=q#%4J<4MA@_wBWcAMAGcyOfb}9|VvCxFQ(8IpYpH_dIpgm6WtVn8E z1|ctp>-rOX0rK3QTww6=GI1{UvV4ErMbL<`AO~*2{31SC3p#^Z=T-rpn)B#pE8NfT zp}(?Bw5-gPgqJfEdIWU)Q#WEM>ly=}&@aXXY*W#ng#A~1tpJ%D-1g@R2lp!WT*A$* z6iU1on2YDCE-(s(a2W;kqY2ig^z5 ztfIJGH!<|!UKQIf8>myglI(}#5EAjZc`;!$R zy;0h4T9WwEc1RkSfr|cIhes3#%53zOg zrJppsr5kx-(C?5|uD=Y5Q%+LxO+$G9@LNjn)aU@|DcfI~E4=MiE6X_*?L&o|JT47A z3_J%ei6qpfJUMmDOl-%P@-R+)mpcR1H-h~+W8^Nri59-%nfGR5o6~m=w~aBv!Lgy% zTY9$q?Drhy0)6RA7QEQ2Ka&1rtn(sA;Q}AFs!qtj1eWa>(HOli z*mt}coj{DG96O`X5Fc_}60sllc<&%mJqG$d_w4-zz99GbL4OgR@{4fdTJM{8l7+)u zZy54`l|iCL|DM!S{cBK9zVO;aQ$A$7NSwz+=gf>J$?aw1Jcit_-O)?N1IF6_3vLeY z*P!qJ*a6Ln?*IS1FFi!qk1b%M*9`EKa6o?v{ef|_!z#4b{ZmbFV7Ra2T?l;u<}$Eu zp&>k6@M(YPjUrdf!_u4On@MmpUH+{;{FI=yZ1P4=AB6LISxMS!`NdFT>|W(RvWW32 z|4j~4znH(5_CliX)o~oiBHzWzIX~#KS$#Dd%KIzr?CEe?_?7DLr3a!`ci~0cFI>d_ z67LsY2-|v)D+jWgIFR$FCjV{o$=ARC!0yEF(X_$HGjYrzGo1`JxZfx?fFT)py+@An z4*r1O5_ziqsV43Du9!-5a_dH2JM2v(V8n5T-;!nEDJ#(DfbnZ+Huz?Y;qpl(UMD1w zFC9RxwrzL{F@~h{g%us*Iqc6Qc@Eaae>b5GKzSRk8S;G|MUD%$xbRUC#PRKi=3rX5 zfDgD9%8_2-sre@4EBhc2^{H>Z>Xd?Yz1a`Lxxfa#%H6LqQhTE^(f=X^Sk>uW z6oSDU@qFn4f#ju=oo*sqXUEdUC}Sb{d1qeC&UIe@RYdz;@$ix z$xYn)*G)J}ZO(?ve79&*GC@`Sa&)6K;x$Cq0Q3{F|J`iRUDO^8EQnG+^Wt(p|K0J# zz2(aW;(l4ips9<-IpBof|A~At2llPuxAeKzFngmPojb>aPMIP593Kx_4jjdSf-1z^ zsa};#RDl<~D_!Js^t%wH+~0N~%ESAmP?%ahhB84U|5<-I#lX5AYp$-E4TCZzf!3AR^x~`0?h|+(z@No;f<79r2-DF3_7E zOm*4#H_TCUI?>fMueTso{h3FR7vmnOC&*Xgptlx&OU@TfuW;4CUHw1*cF4b6M`1hs zFw!^EI9bnum|w(if8UK7GMMr}I0dqieg$|JoD->;rn#)X(D#|knPyO((p7njp}Wrn zuIR*VOZA667*B{1R(0-YQXjC*C8JFS90Dgy;jsJ1^ZF`A_rHV8 zR6G(!+zzFN{Jo>?giF2!esZpBde9wtG1PkA&jgnMz83%Q-3d$bJAZ)d$G)6{ukw^X z0ROen2KLzr+ z_e#vAN1GQFX8$`{_fuIx>Z6)sp>tmgPkMm*yj?YIMW<}?Qy#IcA^x$eo_7b7_a%YX zCw}KvMFx)<**#)aw|X|5zQk1>1brWGdV7OAlUy6Ba}U?iaSLZbaX!aQ<<>h_ApmN1rceeTdiG zomT|w{f_;Zob&Rlk#I6sq!ROR*S&DkUfBO|E`t4Wc$Wkc41Cu@gU@R%TPEpTSTTs0 z7O)TczWC7=L`hz>D&~Fuo+}*3evFMJKPPJ*xB>iQ0?LfmInQL2bK|3w7xvIndzdWZ ziNUE~4?+F~l=EhjE*ZBWUv;{MJ{ZoEd4#D>aK(?T86=PWnDkd&@t}Xu2eQ1rHI?{b z!_e47b(q(^)`eWyNKp*_Cj0iiL&SG9rlioomTzq^{A=>>nbD7e){akgkwY#-0r#d% z$-%b%0_QYdyCIJ(e0})&xmV`?ge>i&=o_Zou}0u2;n?UziJFsm86$m}b-m5PQ_SmC zYRI}Y(~jUqu6*$yGp%{}BqE`|zvdS5!<1XI*PRl9v77*IY;E+;ZT^%;jAa|S&4aq3 z2zYT>Hg!P&s4M!CR-hhc^moOE%u~2uBv&>nMmac`_nCimY)gvz*|NPwhwhyV-UUC< zaNTo1OKCgs!r|}UUn5nY`%ir2_Z@7VLc*nnUMc-q&}(tKRC|Z_631bOg%%p(r=AJ@ zg%7?C5%dH-1{phoNP5PXTPP1A#8Z8DLD-M6ufHfy^DdTdq9dFil}w*tSNQijc%b+= z=I_2~+@Anrcu=hRzIz2w4KB`v-;#TNx~C%N#ypAYp|laTC|%&^7cNd zL3d3YaV<=bJn&#~d|exl_bES@4uKDe!q9Ja|DRrY%V58u8Ginj0DMlJm_xt9pKgBZ zLtb1YcQaUX5OW-r3y=Ovu37%|aH{tHc{%HSZJ$8F_a+3M>X$%iQgnUY;9sLhPjKpS z+^&dupZ&xyG4J2u=jZMy<$yQuDqPLBcfq#==Kbkk=qo_}u5Xt#&22}6p9D#3qKMp_UtUx!AFPDcaXK(x_S}5^@J0n5{YZPI~%bi zbxzaGnxkx3YUBjtLS1Y}M-j_${2ct^w>Std^{1;fVI18TMh|;CT-sg=KMWfWKH8ID z$~)(4-k?=?;`-srZs21v7|1_e{boKT2J<1I7puD#{5T9|Kzoj=w?Aws<YkSL4#ApDvl_+c=P3_<@3wuSlKD~%?^|3935kW5VBZ7>9R zWHwk%#D0PYYVa*3*MaA|^w~D4KpX>|6BMs|oe22%xu!khvSI%8TSOJSU$|F#ntK>E zvi3}d|Iy*2t}235n0tm3dt<^NXm*4`)RFQN}_^`oqRk7fA>Woe$QLzwoa zV1AMOTirwoSO;)3^aH;Cw(Q0H3Hx(j`@4qpJ^yV-WzdznyTg~xd8TvzM9g1(5T^TO za4aQf+Q~umg6^UDs&D0W*Pe(}=#sogG^Nuk#JatHLVqRu7+d2U!N-e}F~X(#JX7`E z%J7A?Fuk0q)6N^P$w?neqme4 z{H00C6NbJoJkruagZ1(-%>R-@M*gKA2k2@B(?47b_os#W5eIn^`)2M=vQ^&vraZa> z+juJ8FWeh^F$Db%T+F>7R=F{u*A3w{w~M72tQ*t|pcPzHuny-b?qm4^y$1Y%coL#~ zGUzX-m`l|?lDcJnxOorr3)|hDW8!E{CctLify$X~iTna%(x*lX*QG}WdaHSFlYP?| z2F~}X+Sn((x<`<3tfh}T#v=9L-pyb1Eq{@c}6i0w>MN+xMvZ@i28ly*jmk0k!lDE;s8 zeEe%t-+ejQGj9Oi(sige*(2Cug}m4guyKV4W{QtE=i?C3S?Yr8nGIV<+9E&gs~HTx zC4SwGn5Xcs7yG^OB$gY)>m&+4vcYxa=rLD^wl`BX8AwYF;WRX`ljr%&^JeAdwDYIc zkSibJJtcB|tb2L?1NLZVY`ewZ1y7H4>4_f1`0Ayl$RoFdv8`%4HJz1$4f-8pqA$P% zGqbg?W^fGkgghJoe*^0`hmaTJ^GH;rxAYDygkC8mxtVhtof-3LA z8}Usax(1hd+}(QO_wDvwo^pLpyGlRS0k>r3#)EGt@vUn&44G@I$I_5fnH}c;JDd>z z^!sBOxEko8*wi>z`wk9a&k1gMV{n9I?yDV1v1i*=^`2^0AJf1%8o~zb-hos)_+jXO zt<-;ZeR4FhzH=73nD~A_zil`OFwRDN7~8(e5nuU(eLgx*PYhNbaG;~|^M0yE3E-Ak zOifj8^Ij+I6NKNAx#{DZBaa8!w#KYN?ZXC7X(=z5alb4)dA-iy`pKG~#k?=N*&R0u zXI%sSWL9l@EQa3_d52i5H06(Uf!~b{Ofd!xWw5~!aMjNOaJA8rX0QS4(0J`9#vJ#7 z`{Ro*8gEJg?%j?3@DLRKeHKQ%ey#YEAN`8Hst4%f6aVKT57jN;x8&Gn5%S35uL^Xb zNeqGk54H$(66Y*KbPu@Yiov*cdKRTT<}mQa8GQFVL%5smCS{6W(!&}#E9Ulfgdc?O z5Byx|`5l@ie%M*a7qHE+x&``Q*#FuX`F+H8e?1!`&!_0GkYAD)Nr~|_j$5bt*(o>c zx|w92>Ech7xu7#POmnKa?#j2EVNXbL+_ZgyJR%R6(>$a{s_bUAoXhvtNH5RT+%e=m zJRiL9Z%@{;*Y}nlc|)walf!mQ3Lbu|MkAIdh3Rqe^zsj3 z2Y#5RnKGKjZ0tElvtggZeKT;x458cEbT>0=D0f0UyyTo zfb$gVYE|G%c*JuEa!kV0#kqSJ7hN=qq-b8K%r+B`7vsahyWsw#;enLG!T;X5gqFZ2 zvlc`XAM1kg9)g^VMC>h{W1HBJaCI^7OTOePbX&L)&%zHQJ+X0)%I&#QjbcGZabBOQ z{fjl6iC@!$DkRWC;6J8!OdzBXV9~m4Fkd1J*Nx0ywN>9gjDFh!)bDl$pC7Vm!ejfc zB)t90;mQMrpP#pOLD2V4aqsIO@K`vgywXr!3G&ERJXn0R6n@k-%=P=&%<}gyp3kwqCY)E{zLY@*ZfrP z#k?;(-T~;JW#eK~FYTk~n@GM}04Obs5#43)FthZ;H_R?EL^p`Clb`cDd}Y#$4SipH zy))4>$bF>i-D%@|1Vi`O6I|=zm5>*^yZ{Ne+a6@ic`WoGOK*cqx^Pb_T)JcMbw1}r zw&ryv#%NykYZE=>{(&~ zJF!6uT|f8B;7{hS0sFD-*h`1K1YexFLGUMU;ex}jV^wzu z4^SWcQE>VoH~)e2UyFxJPPjHezZmLL4`I&TdI(KJNs+RL%i3txT;zs0&6~{#lswMf z$+`3`3+kBn*)K79znL5aJbOzyr~PcG0rxYc<P;9Uxj+$TJjeMKfm$}3uT{t8P|>MO`L*M=N^O_ zyQ*K~IrJAZ2CNI{E8spi_cSWOxhyC&TDVvKR}9+4`DXCOhY6S&`U}UxJI71D`3UlX zkpkqoV64Y}weuB|^1)ogRA;C@n69h+4=(oae;%f&7c?`%gz{ z4q<)>VM+s7rO@E|mB?n%+9UM6xB80OXG#z7tD5NJ<2`}9Hx0mr5gwbQc~VPoXfX%B znx7>(%Mnpw`h0-CKNwA^Q$^gdmL=8^v>5kXSeQ}dw?#M^FZ`;+kUrL`IpppK zlJfc(?VrN@mw(ah@Zb9s?QhwM{sHcJ`7=TG_tSE7=}SC_p9G^{hJkG^sWgF&W^K?D z#QQm~6g}sxx00TKIp2Vv4BKAsoLuTH0N(=XrT%Xbevi*E$+V5o_lk3{p2JRAD6cTV zljdF)#L&Ag8Th4Y*e40nL}2r7ecS(y3ru3k;HWsE215Rdr)+` zn)u<|c49xqg*;W9N&0+iCXh7;F5DB81Nv*B{JDeOlIS_&%OmOqNiX0nyiaX-5%UxL zjNo0R*6S*~ne$h|iR(V={RuxE{8ncj(scgojd_a~YPp8;;Eti^oBuw?EH!WN$9SrO z599{UrNZI={k*}?k={#8;veqxI8^=eGr-Mb-iuwCA%CCG;DhHrhIv(lBk=UdB<&mN z;6fFyJ}&xl4*X-VNB?+p6#Xg1Vuc1yL4)$ZRo?83q|?Gedl&l?P;Mf8?_v z%1y-lGPCv5ntSK^5!ZBG^F;pTY}DoZ4Z?^q;kO@oYR^LDMB-yaB=iL41=T-pCVw&5 z-8GQnHm`ecC%q&4J0ZWsfUn!&TXH|py)gC5opvXdKQ}gWkk9Sg4*9C{zV*<&P@5d} zxA#rg_i~Rr2KNfgJDIKLoM|!S&wU!uueeY0INmPA-v30c5&dF|urWOqPY<}CsR8np><{aI)i?xy>rCh`k2#n4Y6Nk*-thM@Ydvy-rdPQyf&g;-$ zfS1|3ZM@8X-*hmkZt&o|A^p+dN;5_$+A53~Gy3yVKN`jh#NW$|&*38572-i(v(f29 z72gG4;eKKM z;yvh#L?)}=jsn=LZY+5B8?4e@?eherjb;)s5@g%3f{ow|NBW zn)_$FUB%aOxE{{yKRxK{jCr4_>|gb~VO;No;Q9R+isisJ{QU2jCy)Du*Jy>{Ic4&N zemX>W1ywtPd&@;vH6n>=pA9Bq@5Ot0_c-O!;C|tH@w!cObFQY)NyS;*YuBfP0wX~Eh{?B_^;3IXT~-USRVx2J^7Y3JQ5L_hJ=lqhX=j3|cBp4C!P$eg|$4`8e1EBA7Y_LY> zFlx&{ml|Fqb!X1#d*wcgGcn>nPwHW&a4D83F{CZAzTN-FVU&5ar@#1rZs1&pElJ>- ziSGIyoeDk-dQ6M{%~K!cd=KFboxPl`{+=r7nlJDwF_;(GaZ5J!;d5MQjBuA`;yPk( z%v0!<+^4iU$6M!gbAsflOR(n(M=;_hdV>W6@HB=i2_*UBEGq)u zerpft`~88ZD#5(XJgA!RtMmJRWfc0-`3rhBTKc~trv@oU0Dc&@SNL}Gr209P#vTo~ zmE7s7z36}8!00ho<%2f@&yoG{8)J!MSlj1bHy989?qiJh9U1|&3*dr_8<7{nV`V<( z5R^6ym{m2DOsFXxJIF*F@4f$Zq@24OFNPn6`=~SG=p#SoM+ed@%d3x>9|bq;{^Xy* zgGJAG#9H_+cs^)+%K)AG?@rD((m%R9AV<0Fk9>5l*cB}Og_A=awLk0UYV;9u#xn3N zWzK)=q`9-V@f6GZm3Ek4IEUTjs)6C!Wgs~9{J47y-i7q~^iJ0O8}_wOLm%vJ*;TKP z7vaQqvmf>)6DSW^{aUAy_zp1d3uk2)co#SR_O=CgQn-=0U&L38zE|edZ$Un?gyntk z`8T+L_3*jAavm8%YJUAx9GwxZ8LS>^E{JQaY0eLa;|+)5-~^M0)8%@ zhM!hvWhws<`DmGs+IbNl<41TWYTrjAeE+~lEX_6(XVqHd*nFioUD6xDm1V)oYFK8_Z=5t zfOjE!(7!=69kRXXO=+{;I`)o!NTymL@uO~~6tqgrh(!(?w{36aT{cVtQ zG8PT>qosGW3jAZ$7%bm2p1AL$D8xiP*?;YL(O}+8;wkuT@i8=X2_sD5Rd3i2C8Sw! z$)g{cdt=sm(0PorJ4RR&_pGe)!1I;;8Cmedz$UY31N0%zd;S_Cd+xm}(I0>O%Nic= zk6E(K_a|@hdC%&Qsl3ic@P}~$d2jT+E~vWiQY!q0{6X6cmHq!8Gs<~N;bFwsxW!+2 zk@%#+gJpb9J@760dx*mKCpm%%rOJamW+y$Gub?Byu?9S)YurzGE{vEyXgcUlvZrn8 zpy&4y@LT4B2pQB}e(&HuIpULkAC^v%3%^%vNI#E}qy1v%VhE@Bfw9O}MliquxqRUO zU-2fEzawrYNUs0s9PK$D4?av4ju&=G)pP3Cz9byOQ7N+b9@?g&=97O!4pni}o%9-vvU;af>|ZBm8YxsP<eWv^Z@*pqX5Pk=aftwYkB)!6mcC<))P0{0{dNXQ8)>wepxcPcX)i{ zT$MDvUopQ3KPJUcpDVbN4=-V1y4zCy^Bc#D-|+$F{RlCLTrhIiy|-vS%S3Va-~as2 z)ll7E&Ge($r~{~Klo=Og&*7oxLd-AxR$snz5>4SnmaPjxty*~~I!be64@Qy9lf4TJ ztb1}NpGB`F>O)%kceCjh# z+K3-qw^ky-wS2Yvh*)A9brYNqY{l?%*O1=7?RHe3K}gsqOCK`&_+$^a2JcNK9#3%B zIq;gjoOh>G%-8vLHu#oJ8WbHU$`%f)CwP7J*nn7e$M}p3aZhEd-iUoNzmM+1pL_;u z^k;j(-Q)c&{K>pWZoOFhd<-|;3wz@{cFeQ!sNqjir~~tLulVSBuLM24k_T6wQmYn8 zngbq~ON}|`>0Ds^hWLc8$CzJo9dH2iw9vWbN*_J1wX&7{&B|GM z#E+qo>s+Z6Yt^dgLsvzj@JYxR0Dm%bqy4giDT?QjE{@utx40UOL9RSvcB=B6mpe%w?FaOW@$tL? zd}Ok3oQCTw1(VQV^h)!7x(4!M5QraiNY?v!DSY{`Ewrl8RsF>!=r3hH7v`7z##LGj zte7U(PnZ+(ZG2;6ev!Py;V9)D|7EFtVh6{|e&Qj{-^cMi7Pwq61_E&7y3(ZnpR!QZ zJ2CHPzu-+pnIZWV@*v|c7$crkp?Db4p6s1OpGl##i*h|iMd^M2W|aD=nim+LOa55< zTolbiEnVnvZ_#@npwB{d`HW2E-dcI9e*?Oc^d#Zu;x*eRq;Hnqx1Wa*zI|jd{a7X9n zk=UGm#JtaW^SAJeOq}vPO++3Qv9H?a(f7*vgV!-6KHH`N#PQa}Kjg~$+X;TpCVb|^h)7o!mr1ezrlm!l#9_bklL~>wM(vYLzW^>!UNkP^pJ6$uC&Nd z9)Jz?1z>S%*BtS86vLk^@6UO`bn4lOL%jw$QfU;L7gnP0l??|=Q%U^JTb-1bb2y$% z{33EdpG9msnnel>UTZZPogm$#TSA6GYwPH((tap1V0_SD&w8L&|o)HQohJq9G(SrfP2Z^gX7lR5bg@LMuR z1@D)>%e&sxO-K*}lCzLJxH`pOx{TL@a#Min09=PJjZ4R(Yr{z5V zJt#J0FH#XbKg^d~5u-ja_;yFP#)NVWeS8N1dR+x>2Xad{HYG?O;}pCnIBxOOF;Ds_ zI()$SD{Sr45b(#iSK?&N6y?lqvQpj*^h%z`f?{(C>H&bl1;$v^3Y~-Rw-Og0Swtw$ z?_`kX!gDNik2%DXgp0GuR`Qo;&*u?isFv(;rSTkyubE6-hiCH;eJ{KK3n(&pf496< zEN$c$bw&WUM?W5L9DH`{9VUX`1XpOspIU~}{*$Zwbcr@;4|ZH6alL7?b!K^9&~o@K zIe(X~`{ac5T2Wp9(IAg3=UwP8p==yqC302V;&p znM8d42rKhbu3v5z!M(h?5Bidh{0b6|lNT`t-zzYYPVxWYJocOffCK%N(U-=}Bx)Wmv zx`C(U5w)u0#IMtpk2f9sG2Z7QcPaU`D>38-Tj9-&@?1N7`qB$~%3CzFge#QE;(U1J&<=KB8 zD>S(0_1&~weLgmckUjRk4#CRdcd=9+W2~q4IaIPE&~Li#w92RTEfFAi?n0L?jB z{qLRPXdm--Y>SK_9+1YwYCqwh0iqASd4TsJpF5vJ|6!0||4`vdq)j!^bl6dL{2Zw~ zt;1&J1A?C{c+@q4#C0^^{+vrkI|20fH~NQgnOuAV4kqgt=G%t!e9X2XG1gAWA+GIv z4!u%*&z9&%W*8P=jNjQrfBd5VE9>W{#AF@jILlS0b500jn*Kl`lFuYucl+dS}Kxi<>? zG2SQFxspkv#%#FQ*9m(wtWj!5B~dF|Y&2i^5g#)u#bv3U=NYE_e_Jn-akWFDasj_b ze*aZoi!Yu+4}g8+`i)ZMH`TS5eC7t|mBRgf<4=BEU<-e;d>@zHH3#qSK#X0uG$Egu zX7$bF?$jKy%JbNF@;N3aHl1p7KfQH{!JNNg;52MyBSpG^hl*pzEEFy z(`G&xTO~^0+Sc!LshQ2j$HUX}v^TeRs`93X`bt0QSIH^bJBNN`mSfr;NfO?s{kB~C zS{6Q64XzD-17Fv&!;ODWLVmv=2d2IY*8b*EmW0yN3qP1Vskan5+lg-~!#-bm|Fzu6 z#Kw2eWLnKRsortY^OCdSrosJYw?bn{*1Q`6XdX^Y4NK5>1Rln;Be^t;gIBm;IA2?7 zx=H%0Z)}Jp8-DTpW+t)KpikU}14|i!(wA^{401dC-r9veKKS5$@bB@*0!ygto;bZ@2)m8mPH^V7^6TYC8$&yE( ziu0KGr8`BFE9j#y^{T5e{Qv;i5!SJHeURG6X2tZMa}d#hb|i8x1DR!ob;_w z%~PxZ-;y~5Q_GC8|BtBm4#@Iay1u~@6dNjFkG&$;MFrhsRE)_nfQX_H>7WAAK@kKg z)~K;-Y%yx=EwRTIHI~>S7y%m=Y_S*AXw+}b4A1xGpYxpOBu2UKeO-HIt@T?B&bC9( zkQfuKqz9tL_H^13f=Tv?ljk3 z2F-+C$-g}Omh8j*p9{V(sJX1a$xHtC+(F|>xNFXO-4W-07HVTh-zlpjlhsEga!{g!ex;470}$u$vl$RYDn6!I_9Cw(?i^;5h*v#{R1 zunK-l-k0`-9#Q(&T(0cCcE$2po0;IPU?#~?flSP)?ZTEz}60GPnpG$Gubb zjJ-o?^4g()zJUKo@?zMxN#4VAnDS+y8$CM&Bh1!t@h3dm1nwyF3hove;kk50zLLS2 zuIS_A2PgPr2*p19W04;{#rU#$fCF{qh08>1Vl2SIc}e1z?y%00CO#^8GHXw?>WI~2 zv^TE^d}-88HvsSANpmD%YWqrVx-R(qh=mW1UL8h~a|AzG@{O4HC62Qi`u}W@Ve7!3 z%$%mq;gY|InPfCCdJ-Hx=mn1REeUaf;4`^ns3sTmVjo;7_d6t&;fG-vW+nE^P+La* z8z9e{C2PEBixe-H7|B(B>8d{Jb5_z5Shy!$`^4@$scwPuB0Ajb5yZ7#E_E&$j?pZ= z6sGrpNDm4Gz+(>bFI|VN`n<`C6!i;L^w9TSk2v9!WNi0Ru95qA#b*231|RD}mli#IeT3`rTFXKCQvpP8~st1`gY!z z9XdUK}x%DQ)BpJ7%b@TBRTR5hqCC#l~>`1 zrXwfGhIhLF(P0vBUW5nj7Ak&ZPn;LI|0YL~aHHW*-co=R_Y30gp6d%16UuPuj|X$DMw94;tm5`RYRSC2=j?+9X=f_NE)9eXpmZ zW&d2$4t^u3mCi@=4dY(FOO7K8{;P#A!M)w)=@9rWQLpy_`AV*ZU(vX`-V6UN-H+{y zmpsK~%rEwQk?I$&c^ve;O7GgeFv$&hH7TRLG}h752UqnQ@G1HJvmw`Tf7PAc86;c; z==+BsEq85u)k|~Qp(Td>P+{X;m3Q8?g6w_AmqD(Z^ZAw9X^sQ)3u2O+52G)sh7>9n z7?uwPK8LTGi#q1RF9IyV@#-n+%XpEZeVHvhh-;Mp_Ku@%STocw!uy5yE#UQuk01VI z`TsZQPdH{jdBUH3m$}UYBgGe4VPhuk!DC`kL9vnX@;5tTJaD`v_@uZD{Jg@OenCA$ z$=W~yb)@EkJudpZdSfr=YIesQ`n(=UqHn;BfgJrK=6d!yA8Q2v8234jxNQ~zA5{J; zMHFo(nW12`{9cp@Ewz7+rJ?ST{EmLi_%7n&tp_FnGU#PuVWZIblf zRAUg?aB#O(BJuTkLyK~RHo)?f1D+HXPd(;kDK9ZA->~iR{uJb2c&-C)T=*2#;kQEn z?1M)Z1lwQM;W#(t5Z$(wpV#U8*{buLa~2NGhPKG7^IoDtRB6x9Rl{7I*TW)}BfZ0i zu$;Ns^iG!OH64qwPiC&Yf#34m>i@OFpVNU~6SG1kXSZ!9{FcmPJ`pAU*FgA_KS0)R zHy2z^28BEbm-l-h_AQ_opRTm6$bdS#!+DVnIiWYtYiyeM23l7gM1_c@w|U{G`?pZ= zVHimEhc&tJ!tNCM#JSM968bEV|6TArnnIw9&T1J$jGg>@NP&5c_ie$#II73k;@-Z* zxWta}=;P!0<~n>Os2w~D9<1avZLu>&-E@Nj^uK_!ehU0#{H(GjE`~u($!n$jIi##JaHq86tGiXx!JVzdR7hGAt7M2*{#U;6Fo?uJ` z;=Ekt`WZBU3s_pVBWy`l7tKKa^CN&tbNppbVQZ0Z*si;`RyZAD(DYUh%~H8}C&M1^|{DEc?;a88|PMK|Tr&)P1LOf5L6A!yEXMrO*DyNP>-R zdbNj{+5=kij*)z8J$vFBp<8Xhg=As=0nQ8mAGZSaeqG?AeCHvxq*r_q@|D6#^y*0* ztEtr^jqvRW`V;)IpZSGYKH`G4RkvHRs}IphNvV>9%IK`VTp&Og{lzhk!rX{yIN4kENZ zk4rzwA+h1@**%E zd>Fo8S%S~cew8y;`rcZUt~|CAPE>pT#fl??!l(rYso8JIg~wGd8Rmo>!aiB%0OZBQ zw{&-$^wckkNKp;}^h(Aa{|)_NC-5m7fA%6*u2UW`UgseAbL9T|)Qx!Uz6pLy##Fb# zew6jKfQIPfk~!m!@a*rT+Y85dIQF^HljksmI&+S{Mi6nWbtLl0MZh@yo>`07wmtc~ z9Ku`BCUI>~-CHE4QO~}sT&5(C)qR4;Z6p1H$I^6v*fdhOWLNiQ5a&}8ze+02KX}q~ zzGsw2{*%|a@ME!`eRNK?-UoUoDVN=KkmSmaew|2@!2^EOv>dgC4Xbx1^ji2=w=RV~ z$%|3j0wdq&h*DpcRR{?Otk?<_-)L4H z{&n^NWJd~rvtP({<;P>6Ed6BP_^94>AdA?Z^K1lq#+d(Q6F}t|P>K7PVNj+CmCvsS zbjX^#xQvP-KJKS_q8}N4?{@9*&#~_t^9%3&?x6RgM+_@%*Ue$9C2Tt*UwOmv`$l$Y z>K8lcsrTL(KRtiV9K>%wca*jE*rb4`!v)AG@Q-njcty1Gwc#TZ|I(bxhGW+&!{daz zcmjMFwxNu`^FcT+i=dOU&h)aI@(A*Sh_8*GFNqf}du{Mx1uTEj$a@j`KHQqW_Qt#~dyWP0^Ya3xS&5O{C3@_} zh+t?%RbjxR#p&9|yUR)U1b*O;vAquSzUnXeM*5>M?|0@PGUk28P#wEJPJ41Erl_yv zwY%gi$~eY}4?YZfrT8IwqVJV)LyeGM15WG4V>j)|r~+Oe`wua{NIyL0{Wct6+*52s zPn&5c?}x9TS2A9_d!)B=k;Y?w;hbKq3k?uZALe~7F1N@b#CdA>n&V1bGi7p9iDee^ zELnB89=8ntwr#Oz7QN`F2S_MJPu4K#Z+BSXh?Upy>G#e1nn?7>~W~r(U;@Oe|2Yf;)6` z?%yg57A|@53}2G(-z)Tqb75{xa1Cr`JZZGRmJY!mvTO$YEFAn?;4FP4{VT-NLe$UH zM4y511O{F+;>T)&K6cJepkIu6)yFXJ^L*?apG9h0 z5)$plkZa&R-${PD=k4yG{OC2-!V74N^TKwB;*pNR-}PG@t@BbzH1Th{{o+eT?v2>1 zijU3Gmq7V(3hE1f6#x3m!sszxC)-|hQ$E>M@L>6Y1AU)k)MddNmwaLCaODKR4Y4+1zue^itmrT2>F~XL!`Sqn;pdm$u(2NMlfb;s zW2pZxDaxBF@1cIuE^(Tx$9{}Cji!pDED8Tey-{eAn|jrNbj=B63?k&%n+*A;wz zM z4Jm^@3(l1;bk+U-g;eErKS`#zxI=wBf4pUQFZ2ucpfAub&}n6a>TTG^&*1`|i;0?J z#(Cl1+{f6D@pIADRde{(J+hV0it{3T#3E0M0M6JG{4wE}Rw<`G9B@vgr)}c@y)O%d zTb+#eOBXIs{49j(uyKBquf7*mSJ-+A@XYQu01NO-bTF&$#&|rMCPG`|_;Hnp5e=Xd9`vA$g9P`SM{8xnmq0(nM zZ%(E@ZzdxD!o8he57V6DkSy(MJPy7J^J@-)Bg496N|C9-!L1?C_p#9Z(LGJL(|sOz zs^8^z^bN588F?|bwFYdr7LK9A$|RZJqtTZn_t68r@5^84I^C6X_6~hXv(V^pFkX6+?{!aB-yQN|?7o|~%_uMAP8b32 z)5jBjOCPQ|w2zh??IrNXv|m2g2oDPSzT}YY(f`5)FxTPdmjcQXBhRM@SH0IjuM9%Y zG4Mq?Iq^m1l9TdUW5bje5B}J^_Ia(9)kIWV=b8X`FJg=-Jg&OeE-TVme}6ZA|#TycHuQR@IR#f zdUgi-#3i?P&W;#cl3h8A7(-aN*<1O(djhrh@tlkD+TPlWFLOsH@P}s38G6s6r{)dH zqt6Gvgbv{ITS?*ZZNt>Q68|*SD=tK6k1TWvcLoNd_t=3AwI|SDiN}1>nHVaEK#b#P z@RPBA+U%dLJnZU8I!9sNXS>HM%==4bMZh{*PIwrL=f?>b#}2+l@t>a0H;jKBi}~Lb z>oAX=A+!}a=I1T_N^>lhv>Dfty%XH%_{}qLWY`h+gzo{rgE1`I4m(RvSU}5o65ng( zC}NJOOT;xJb4Fw&y>dnn?UavjO}jn;=K^?+=*L-lUv&*2+%9vU!k;WWq?w__aqT6@ zBlCOg+UY3z6}4tt(Z{zKL5ria;J1WNVEPN}ld*ty_$QMD_c;2x5&!g18|Bx>K=)-{ zRHZ@M*Y(s-pPxSHO9J-in+xFcqwaXie&n~mMG&+c_{pe8zk4H^_VKx@7o&N;uL}+T z*U3xb==|lVT0c0K^7)hTe)$Roh(%$<^4`}y0g3yqWwlC}_od%7Kc2YWV+Q(OdCUtM z8ZOT(#DY|({4AVqtYpWirRr$|&@_FZh2ix*Rvr&68l$(h>V-SzIR)a}& zriUel`DQ0axzbs13>$u1fyP3w7-@$-I?k0=ZAW6zM?R+<_o;p7Pt^t7hkPaH{H(*N zBEJWBdJyAlc6Cf4Kz1h7Za<#tfeZ0JXAh)2Krn(Y`!?@MKY9_@pcPCUPjc)+1NGhr zf3lqW&{&=KkmvXTdA|HNnRFEOTub7LjX(DS^spDd`$62Nd0g>D|BLid+zV7a=empX zxxTEWeL%iB#5SCL1AEd84yJ)$!Z``%!5+(VK-Bh@;Xd~-z|BfT&Bl;-5%TBzZ9RCf z%;oEtr26b5^rFMJ9wxnvdys3JH+scPE2nJn zC;S(H{TTj4#S6g^!rJruKSL#NpLZ^k`f_lz+88>;z~arrBzO1n2<9xl(AFI(`P(RK z)oW`#x^BjBQTZGjTFSnXiSWa4-*dA;+A~}2TSAHjRWS~_ulfZ47#CaN{lfRUweXL* z+9FZ&2YT`Fo|=yLi}V1b78uF9V4u91IXrg0#5G)pd~jZv3%(;v?;};aljN`82GL5? zjJ@0mK0j)HD!0M=g`dw|!b^D*M*VE)iIsVEsipF74vf(}H1hZ2e<_z|xc_m@c$^>R z3H%vAkfm!q%J!mv*mwNjDd(41j#y_}7L=ko$Srs669pfoHevxKQ{ab*!;{5fyyi&pzDpZt z`TD{&H_3HQ{}7}7Q!gTk+gS!Q%_1-6UoW^5*lgy3c%g(}=&KPnz^GtUrnVO2`wD zlQQJo^?8>_jNf-Z;-UQiljwT|*DDuuGxuA%VV}(F*L|N7iDNY(w>)X6@AgBH$Rmr7 z=}B2ai{-!G&?~ubdwNC|U2n*n{Q|=rh!XgPomsce3#M)y97yujT*rC~f*X3mchCE& z4{NBc@CCmB?@W9uY0mohS%VM5b13@P|F4ga`5TvNqR*0pFa3RJB?iI#y~q>8x08T- z74tp!KKGY=KrHU<@^h*cDqOJ%<1&dqrXcqyI)%8#o4Uh@>pULT%96ZW@Tzd)dw2`< zCZL@Le%&I&F^!Yp!PY=sP;Rv}%}?*~EY&N}_sWL1HV!(M46_!$aLv(4+TZ5sC_MIA z+0l}xtz7`#B=;1(C@_$RJ@0-CUkC%Io(xwWCB>7hKfoK89*&#c)MpAmKi9XH%t5~x z_s!K#rfCd(Y>4+uFM#Dkz*Axn$!6q%F=f18WvTp1oEO+YY|D4dAk-wC`cO5`@az7Y z85zQ@{I)ni_Yc!>URv;ET4JQXrWSaq3vX@sWvi9+1bo1G5uJ9Klky5NzX(ro*9gfs zu0=s}1_MbBhtaE7J&03-!G+^=Z$BnQ{liz>#W&oj9&&P=v(NM*sd4*!yy^fo z1C{fU>n6UWxgTRBPx^baNX<85{&d84F@I9Ac?+E0ui19Q>$1It=;>nt9RB1PL2zWD z*H3!VGh9?Z-(WBLde7(3_t@x-`zGk77VFWAB=51jWLhfsrJII*n_uD_#j-v&FGAf9T7S?dYnBm@3Vb+TXCZ9Isft`&K11uIzsw&j_Q{hF>sU7o^FQjNJ)Q(>-aExt=8U0hEr{3OeHtT=%sz4C zE2G$ui~Y6mSL2;&FZSv`S;bR(7Pz2S?Z-M|NQ@54y3x$_=PI84%+S7EYz3UkG$GEWeizuB7s}B<&MHtSDhJ5TL>qh7LnPrAb|1{YsMS}gMWz?g2peoT4>{;*VkZr&Kmhn}_+ z`!VT%@0(}Xm+6anA9Uh!-OB{Z@3$%ReO?ny{`ZxU{OJ%^;`u7ELIslAoptHdj&-j! zP9!~e@F(;8F8=)pVrl{=ICIo9;AT{UNObb^nU|3(q+&jbo`h3w$^)|DZO$!*uLx{9w5MrPzosVw#=m zhv1XQ`3UmX{)}{R05}J<8hjZ1Tn{g{m%dy_>rnG^()+kuF1MI zxLd+MdXS)V^}uq%W2_8+GWXL@2R}*Yj6%bhuP*TYichOsA}{TSc7#>3AK^`+6y9_X`Z2?Hm17veiji&EXG$1wVW0XEp<$?yLx`s4Az z_xK%LI4KOfZrFG9(cMP(hXc~cgMpP#J!vr)$3x$jo=N2Q<+r!lT7K@QW+xHj$lW&L zKE}SXU!q07+4DY{++;w&{33-?arA-vTfrZbJtzFha!M-F3I#_5q<;R!MniJG<&t7?U3cOpmTQb2ND+g#kilatZg(+z#8uu_+#3Wm}?lP z*ndlg=0f1-mwQ>E7ri}!#b|bkxyHP_1XtRHTFiB=(U-*gsp51RKB?QKKd>KTT-B9{ zVKnv$0vrFsa|!kEzmI`Ing_ra@Q=aQ?zjYg7+gn|S4K_@dDn!eDb!B{1P|d#a=)19 zac8`U=iIm0k3HhND*E`?M%A-Qf7MHS#Zp-gn8RQD^AZ>lkAMp&dBkEP_n4P<^aJw_ ztKxHCg<|>*-o$>EA9e-Gy{N|(7xnYrv8O4phcs`MLrxNyMPEA0O`pK)V|#VkvFe|1 zaog}5^4I^;=qK*y#C^;i?jq;u=*#8(Pet@#vEBiFpL;7_UPQm*AmnGl&hWwhJK3$sTKdhVMt7|4E_r6%J+&-WzvVo;Vyue*z1&Eo_+Z z$cNz`$*+UL;A#mf6K;* z8)3ABFAN>JE6<}ruso;xL*M5$c3+QV^)-8jYi^~$C@1S<81Zqbw%$^E-}^-q_a3{B zz1pyMH4R>mg81IFO~1{3goFwbemk9muT2U))uDFb>{li@gS&` z-6!EbB3zAJFWLL8>pWigI}LjUQto>cF#U@@3+@%i`-N-h+HQ!H_uq+^@F@wX;Et)r z#*13^%CB(%uLQomTHq;#vLT=-kho63{;3PSVPAw@En@Zg<~KR?0B%?7o;?ZJkl(L$ zPSbPRdaUyPe!FFa-xJj>&6B8YXRWX$^kO)f<^Xw>ZBy89Z2Q^9=H0 z(j&7uik9z0!A$>Qq6c~pgzt=hj@T#j_3huEGl?H_fm4f&<2^y~Zz`7+_C z_IjLyUqSGsHV(=I{nA?YI17g+5%AGBw{~|VuFd!_O?!$DBWEeOyx4prysZ9l+M`uG zT)Cvq@ybPj-$c0ie{~}sBc5IfqQB#F-@APuPe{L?Ut*gq`RfXG!u5SQz{nopJKW=n zf$KT~9<2CDH;tjHZ1ix-kp8#;Y~~zCdkKHr)@r=;CHAON+NXIIdLo?x7d_607n7ysYw+u5pT zd%02q4(8C`Qq|w}d$P`()o&R-r*7V3K}>!!XIT9~(c0e&9fs@NKF-fK z9M|dnHGJLtgDM)Xa~0mFzwShF=p67Pxqs?LH|5Sk-)A}S>RkB8;++2Y8@xW@S=S7g zUa5SXmvF>88^YI&X)>bX-qO6p?lF?H>jwUqCmw6xzsNIer(1}5UwqyF1khD3nw{jO zeb<9ajLbvb!BgVC%9B>Kn)~|3q-!rpm=p23Z+V|E&6$>rAemEFLw^BhEDSw@(#swU zKO)DYupdK8(qVr}3PF^g@!3^(z0XvM(|L5Pm+BOsjVF5!rdAIm8Tj+yhru2%)H0U% z^_JKWJYdA;|DKHd7-}y+A9>rzUL(s+{1uj0Gu0oeShpzm`J(PH>vq@J$sb;Ee&5j|~) zW6>)brzsa19BJtdO7|m?HR0!ndu#lU^R2Z9IwnbbvVt8|XGD)=9X6VuL%#%YNWnV_ z4CBSR4UQwO6}^agpZSdi$ot5?W__6UPrT|zf{lNG{0rhqXV&06@jA6_vOYg~-bc>; z3(WiBe*>I@=R042W?!<@z16cZbQW0Sk}oophxIAfbc;lTpqWuZ<9}b!tw*5Fh4^#bQ zI(+*WuaYfOgzxkCdTyg-(IQ*uS#RaUWx! zaGO}=BA`#4{rwM+6Bj<)soUlSe17$(*eUNDK1}JsiuP82Lw2C{{%moPe&+a1_QJ=l z0)1b8{l%`L*IfA{mH2r$>=OE>F}Dw!bjt`|40|1pgJ1hGf_?_(GcPfNdg5^qcR!Ji zB9@)J+(Y^o8~hR@JiSwWz!8J0u*Nf+P-9&s?Lng61EKGKg_Q35H`tHy^F6wp?mZLZ zWRE*;Sr$16C=AaV*j=h+Wzm=1%iKJKwt%ks(^X&1(Vw$WpIMBX=0f({iVxuR;cSvz zVzRUBg?isYPGC4lPc@?GsPKNS8u8coN75=DB#{?mo&LXKi+Fa1ppDcu^Fc<-U?`xQ`)ryy9E3L>Pr)ZWLz;PnM_5Et`4=v+%~x{Q~6OS}K!{Q|7Z>Pr3TAOp+? z#Hyccd?bzd`lMA)?2UQ<*tB1yKp;wS_Bj4OU@R> zOU`0K0G@}i7k}mzPQ2E%&WAsl4Gf=!t52sv8PzcYq6t*oHY0HVw!6;+k36|w4qJ!$ zAC!f)R)MsYb7JqksPC=Mp)8ab>8br1{m9IxZCimDbD4Z9UHfOlok%b$6GHWSn(VK9 zv{si4+izxK-uF!f2`3KueSYt~8K+!$+{ZW%0Y zBcCE)AUz0|-01a=qy9C^!q3lrocki_58OwW!uK*rfJS!=|9B(&W8Q~N$PfEmUW@+p z+MDVz@cy4tuG%dZYJO%12)wn3v2^u9z=z=v;+vk@r|ytOI7YG7UB{O8*4{FVk#|~_ zMq{~1!y3Ky_`=uN55FBgple@(BM<6QKj{0+4_;U%me5vXaR%RW#%VuaTsj|tH(rqq z+U*C4Z{;og{A|l;I;0#iRw(#ABy!b>0y6R4?WH- zNWh=WoU;u$SJIb`J`34rI@u6p_3!@tFO{&Zd7iP)Q~fyJesZt&ws4To(=X6kpX(wz|UdwdE8!ONt{Zn@+anfzW7166`tj}Ji{2N zjEoHB6o>!r{4cdyJ(sQIjjJhDEwth8rsO}c&$J)G!^iXdR3??CoY;9GJ` zVRUGL;n;ZM%P@Kk4AkXl5AAn&Jx=;cCZ(Y-DeHe7|V7@Pm?CVa1T_&!Rmt$idhW?=gQ^t|Ky`CWLiLF(&Jz(PA}(__x*Ll?j? z;ryewxA^aujs~}!x$V&|%A1^MulhFnAEe*j$CVoJ3t>qr33ly|WLhG^*e#QfIvh{z zb*xz^Kp&sTwo&Lao{P3|nOfg>ZmLc2YQKbFoH z5_B#-T~>YbUU9VCDmmN{elhhC7aGnn55)Y<|2gAoFs)~f<8)uu=khJouV?E<^_epq zU`x5jt4G8xE1mbfooP4cr^4WSX5armk)^!Jt48{d2S+NuJkf_5-)Z@GuYxSe3H*-p z!v3fSx&HL$hpPQ7n`BUB-cw#HVY0o%1$D9D1mnO_D>=UnfY3Td1S1s(OIX0XZetvC7 zzu0KL$K$*R{~qUsKc4u$*e5fv9&-<$!yPy;l54s&hU&0T(knyyuLnoxnSyo&RhG=j zpjiwSc^*J3T;W*x(TfCkpHX6@M;!iS;f})(!#1l%o6@xpp|6wn7)%S*{^JCH0xY{{ z%L9KK#szTK05P zF2HD8=>=}EHd}dyp3bu0yaL`3ua}NkL`e_AL&JL03!HK z1?PqRx>x;)YvFn|&(J=Wk0Df}XzH-&AoNgi4lp=M`&ugu6AnOgC-84MuX{M005!jO zV0)%=jP~NZ@bkByjr5Mq>XxRySM;iww7F2&$J}v93?rbUnV$O z_#w5fVV;l+LZOlIG6ehNbttBPH(d7VFMPn?=lu3BVFYY>z{dZ&sm~t$FPL5iMQw%u zG&XA8BKVW*aNS1RaM|0QOf^)M3!=c6lzsPmOPUVMb#cvT`QIyeW>7x*aT2WZjLdTz zGL$D*Es%a>(9mV{@o~;4p+xQl4W_$F-)0l^C2@_{DCm{qbMtqir;R}3-5E;zfQJh` zf&NO?5#tJs@SVV;6;9|6;EKZzKeBNObpp2L-)kx4#y)_`9?HjpzW+xYnh-X6Nw3ke zy5q@l^Q2=vox!W&=PTxYPEQYRA4_!^?Bo%tectdVzjoxr-5n$SD|^93g?)V2N9@fQ z^fAp_dkPl?67K)xSPKEi)3k36#QSumgd2pPA^0q~Q-r?}>U^MbwDim+^A z-{khUiR!nz?WwxH74pdPoGzz*4)7;~`gQu&KJ<1 zM$(iVECT-aA;vbmFP|-Y#22|)dVjYKpgpJ=I|F@R{J+SH?O;9*=6w$aw{M6looAu% zqj#ib81l@Vqb&}XKC0XKnaX$Vdc&~H+bZX@F%a}yyc`^!}{nK+cT68iu(`O(nP%TBEet!lo;WdX1l8Xk32Hp7Y0{E zUW$!ZlbkdceDmjp*!O3k+lS?sWt|nJ?hG(eGH&?~5zFQmE+deYFzK_iYr&b_&qGQ{>|0UWa;{v~%CSj-D`_nUR2qM|m zM#%49JL}aTuE8KmeMg z$M+6C;kqmc{r<{`UkG_*+3)SNB3`@rM1!B)2_$aZ$3%bLi1!Qse7yZ>&zuGzNaP#7 z*4_OOrn%#h9_pWZKTi0~>wHrvZ76R9+|`$A8AmC6Ar1DTGP|GLZT%#LIF`Hx`#O$6 zjXmt9JliKRB>0qz;5EWn(5DG<tLVEcApv+r97o! zwvsRCo|>(Gvcb;s9O<|$PW`|I%4fg3<(jF_VAKfQ$6DjY7~vy5c1vzx|IIymn3vkK zL3}6lN<2rx>@$?#aVdm&9Xn`HrgH20M$ulxu{`hl$R56)MHY$uWi{pj?xBTViFO|> z0E!ITzymPv2Y|2VS3OPpv-W$^@EQPA`}>Jb8{ghRd)*d5e*wNPdsveC1RFWhs?Pvy zH<(`-sC6(}b;#OEfpB+Yw(cOBf8^y2yoExM(dCV{D zGXA4wGD+`(J^cI(Lh5O#IUlTbVT7;W`l`??f8z)BUt@$n)VnwQmVCjvm}}xtOcRCq zMYyrg0+iQ`J(c7J#+Ml3%e%VL1o?hjk>Hu&PZs}CXD5;(_(P%EzZ>MQ{g{`z*U<@VwdJyFlwR!^PNF~11@`$1XR=Uw#$KbpB; ztFvgT7?1Of^l$}&pUeh~x51PSd34tt3vU-(To z4EIR&fS;fHV6HSsQ$F5NPvZKg-=h6!{c7C6JROMbl@CW+(-FQm2bA(I9380Ix<;`+za#1<&-0-yh6?qsKRMcuSVF)xVN zzVc{MyzEsTBmctwi@NZ`h_7#;(f2RjOJB2r^*H*(*{^bEjO0ane_6`;JaWN6&F(UJ zb%y%(uum3$>}D_GapQi&5`*-8)+*e`vVbqlxU2L2kIT|Yxcvj1h&i?$%7Aal2ErNs z#P*Y~8y1-Fxk#mKI8EWjDfsm}5i2RMOVK^-_7q}U+`13$G>o4!*pD^iMM;hq!7VxJ zyZ7M8AVzG}82!jR&STz3OPo*V8kk>r;g0@z;kRJkk3_!r!tG*{$OR8G?P%R`IJR$P ziq2fe%bRY%zF`C2IAV=3(4$YBYr+W}8RQV3z0cPEjmfT(`<}Wjl^p+!{QeaD{9AB; z^gVaWFotA#qcru+Z$us$E>wTy4x0?d2KQqB;KkuJ7l6!HhDAj$sTr+Z>rbf~^ zT#Gtw^C8ZM7k$8<0lx2?RatW0t3B~2{<_3B%b*M6(40~xl)(0!-zX%LUa_Au1^q8L zp9`uCqfxj(-^2c1o-^<#Z<)BcMqBukncw4XdBaHG-azzOY)3KUK)hf0y$fz(b`=QX z+x?W&5$qsb+*LEIiDieC*-6A-gG;lK-%r5}9)1{>!8$!eF1aD!G{Mi|{x8h?!soz! z4A|?_pGLsX&xT<1C9!{_CHR)z7}NSZh~NfY8NWN8AVc^C_DvSw>~72p)!A5@WP}I2 z?_!wlckjT@&wkKG(c}mr;A`K~eOR?zBmP?WE#-b&J5YN$zyT8u^R5zO$>7R`uG)v! zs{*kcWcwHT#Tf7e{}|d;x}0qpruWg~=zn4Em&rGB-@yG)dZ|}J$M3NH-#zGmVZVmu zy%goh)bJqKf?viqE9EC+-k1B5&3JlS1Q1X+aF94)`^b&vj03o%U99+!Xf*oeCe4~M z3Uj6KfmRfot4^5Mj@d~+`1mTwV~iSPy>Fp6{RoWy;MIXNjsY?IU8pA)cW<^Qw22H_ z+crmai?^=CxHOw5smfKb94mTe?6lj)o_|1?Qzb`tC4#sPdds{FnF||%pUiT1%XR2a z<31Y9`;D;h&ck!sV?$bx&*Q=W2AFJY`6Oym2F@MK`}nrhZ(cJ|eNkVOqh%xUgv7hEa?JVhshbZ8g;YKzRaJ8jdSSvoj zyw81K*Vbx(#(5F$BJ@hpXTB*h(%1T(E1l#6Y$_1wusP>;rPBfd?mJNe@J8<&Bc~7FP@T2@ z%E6pjU5C*tY_%O55tDh+lo>loZYLpwEIa4!QQFoWglt#FPnl`2E8KaFc(&J^a7gzYwYS%(7WJhcCWka4YwiVqq`$lx@&Ikdiq(_GIb%1@pe}YEQWk z$81`^v8U0i*Sy%}l|#Z;@72E5; zexx41=g@;x%)Ui7K8UizGHE%kd(q%qe&F7QM?TswjQp|iy4Qyj*ZQ`Zn<+fn zUv^$M!Yit8LtnX_JF*;k3E9hR^3;1kZ$I^gR7L*_j}3LK)rZ^K>u7d7 zP5o!{L`U#pBwvoaJo}cKSAjp7{{ZkcH%R`<>fs?v;x+@%^<$_L3{&O7Pwus#7b-_C z7|wU6P6U4sHiWik1N1z^dJ*Haa-Y63HDBPtR>f8O_M)t$$LSxFPG|7roZrBSmI2#T zct2D*J8k_*bddk@4Ii)c$MAb@L2-h&2l3c;?Cm(>c);&HQfLSVRd%}zKP~(o_FgP- z_V%LwsHNF@5&f22#P~8mxozv+Bq#E1ehj%xS=KtCRiyB+`+*N5{wk|GW)E`^4*)im*`KI;q96}ShmiC|N{qa3XVk!cj{VBLvgruwE|wyP z`82M2(bTD)#B~v0|B^sWq(HMQVG6L>3Vt;A`;Gkp9524tW539pho8Sd4xWv0zoWmB z*UWw4lj6R#L<@@NBI1|mOJaUmEnDp$2+Ssyf$hI>77k9|i*c%ZZI0Bw;eOYQ@G+oQ zvP{_kd1T%(fP91|M3x{^!vWoN6z^w_>yG* zGdr9(-gOSSSK%M_DKfHeDQ~0siaKekJFW2)PFqip(msnm4yq>_Yt8lJyvW`P=S6tL zU7|HdzZyN3uzNL{d&x*|pKBZmPAhLX@pfiY7v=GVXNFP9K?r9DyXoHi_aKV1f4!p* z&I_*vzlC1OYq@e(;d89cd#GB zI*y*8;S?J(mBrYMOume+1Wdt9&YA~s+0O9PKHuB4mf-HQ~z#`u#^=T zJWZ0`mXzkjhIy!t3%yb}Ox`KP@wz&g_gAK8PM`lMmOcUh`S2U`S8^T={C>2@etGp> zfc8vpbrbIXn46{ktPc^g-^;=05+=aoVzY#6D!SWgKPEmuZi6al>P`DlEB=>zAbnup zA9&-!Z*6K%(notMn>bGMJO+Qh2#|$-N+q~$Zmh$3+0MPzOOb!!zCfIpkHEeUnH@oB zzufQ$`*^tQLtM}=HVM~}9U;iSz;;!P^TK)Woa%VLoQhq$qj$FQnNNbpzrN;QeW!UU zzhZ9!p@q8UU&qR7KB~9sm9?=yZX`jO0>e4ZRq!$H1=hI-_G4Q)pyTbUde1%!-Fr84 zqXUqS-Zr--m>mAH!Ts+@Eo@f3oF$jP@V7Xcjh@|e*eA*y5p~@-^IQ>v^TWNoUOv(* zG9G@*UO0w33H`Es!JLKp1s}w%=joaoTpuF6$jQAksW*c?T14sl_K1&se*+$X_r`$2 zrQzcDFxbQ3)`5oEBC}5pjtyNO_S@ql=u7$*IJG~KYY=}X-j@$y7yK*|eXs1J?{2O8 zK+OBcqdI5oZtti)(1YRQ=RV6F(aOadk#EG#1%1CMgB-CRV{XPY%=^MqM_GciK*E^PdiELQJVsQ$bIcn2G1f(Fkf(*gwL9`J z!X-I$+XyeOE4ZlV0}r~s$W+d_i?`^~?ScYHdL)VxlAqgxd=*-6%6;01J}Ca8 zpGy_K>_6v{iEB`n{(H*^_t`0pZti^(b835p^oo6#l%e-Y?7ifirhBNqHYY~+!dM6}|M(M6AC7fPdrkihkv_P*z|uVm=6%T# zmcXyc{oU|0)Mer5&v4>6>!Z_|k{jDQ<%W^oSLBf;2N?&>4)0}dl=c#CfW9w*TLu#?r=fqr!kih!rogF*g|;RH3ce;oY$+-LC1W$djOM3Qf*z1Q$3 z^ZvDNM27ZK#papTz)_$4BZKnTSo0}Bd|IvkL7xTh_tupdv_3hs-{h*g5_o+q*PghW zuIFc*lXC8sgi8Lv=eED*CubKJuGy@Id8!c`JePVXpYod&%|~E9ab=mI8FKxof9TKx ze3(a*qNZ;HXM=s-w&OK-h<-7S8_m1trnwHsSn*>v120?h7S}SVEb7*V_9`~QWzMuy zzeE#!e!!nqPxn^7%mVB&nCrIEg=V8}Wa9{X;Zinim!rL?WqJ~@>!JSeiD61yn(!uB zdliv?S;-)Rq%`H;-H8w$Qhm((?9=2t@<;9?UW*+Iart$~C8|QpoeiQU1 z@%}6rxi%KepM(?FZyba_8SV-oA4>I?F*eF)UzJ7~3_$(psXpC8Kk~-9%^CjW|0Ia0 z{V#VXCQ(xcr$ssv*YixpJxqEAa9*UBIJMBMf?GG4asky=ZV}uu$3|^n) zIksIeavua|O6J^O1Bh#Y#;0OGR+%^OCF;+s=Bj;EK338**w7_ibLpQu5w@w0%%@_T zQ@7^++Ur!Qz;Msje|XUiUU0|`aPaJ`yYL9t-;LG&@Buh4{C>_& zp$ezUw1~ld3^jLt-qXOR0ZTnm%OmUxKYFa`Naro8^_nnfQkj(rd|3cNnx zXI|b!{|ncLEcVp<%((>OIB)*?vg#kgee5J`!7sO?=ZOt^KNc9SW1IusQ~JJsK%YfP zrKF>7;L-uFb$o#ZL3FatxYm!@T}>}*O77f!1a$g^FjOHgHh_Vv2f$C^o|K;>wO^;v z4I}UC%t*p`75Tk`kG}ukWf9|&57f(2-f)(`_?{lzNhk4rV}4;SZzIev;*)F!9xQ+E zb9^X{c|6Ckr-Tgr+Z24>j18ZHK6hVsz}+y_7!WbJ8tq?zVkF$h*k#mvHvE?S9B*B^ zPj2dCyV!=~!r_Hx`^n=|wm-ocKER7<~lHukML? zpLM;t1>KZ;zA=dQ^1VDJUbyH_n*e4bH#bt+M_Vgl|(Msol5`0u2bfxWPP8%y=h!# zz&V9ERXF4`@$Y4S?cfYr%fQ~9iR$kOfWFU#C_ypuoGg5sNz&tI&@aXZaBrgUk-v=h z)IIv11malAt662G*I`4~IN@;)+n7ahauD*RH{p0fmiGTH38q^7@9p9%{ZeOwEr?|w z$8v7^{4cI4{H>dVvS}LU@1eg4x2OsD{Omg&7^!;#=r75S)ovK6vAbA}p4CI6dqA4@1}yc|KILwH#BlmgbsPxWRnN;yD$+&9 zB)TTiMBn6>gPk48oBPfNV9sYC7xv1M*E$Z~6!$0$L2il{7KeuuZ<&uYh2Qeo$lFt9 zg{f|d_lx*gRtHJWVDy-H!gcD)f9;ZKG7DfhFS5UBj(suz_T$Fow+>W@8dN+6~zyASpE&QY{AoO%Sm@2)r@3)om5WH`j z9N-ILJHpS;LN)UHJfFIKlOgx%jmYnFKhuR&@YLa#3lE5q+^;*%3&f65mhEvr;tzTs z{9??ZoZ?BL#cdyrDoh~JK_`|a#)v$0gD;Y=&3mEmqkiFPZh_(TK2ZzRWSX= zy7oX{^$)kVkooxw==LrCx@!;2<{;svwnd(d`%9-)PS$(_p685F`2qf9;c|fwBR1QKmc-M0ZpCQX z8_opZ!biYNd4_vV-+jywj&9Pu0Ft5w8BHzwDt1DJikN2cg(`nA* zRMTZScuLF#!MUu!4=(U6`;nbq#C7a$@bgP9&jb?3pkFQre~e!=Rby3us~0K0!h_pN{eM-8O&;9T<15+` zW9~x0iICjbKyS_GB?T(4_8S-F6IWA?%=F4R(wCWIdMXbDxnsV@g*^n%O^g_~OgrxR znUqHSaar$(5U%Da{|xQp#a!ac#iIv3M31UCHij4*dDAwFe!`gTjq@TL zf_r^QvqaTpu9Ou&{m3cs4f4<%z^>qtdHabTS6!L z9`&M)FJ|fcqDla{KM43x1TG5K)1Gz+r9WY;7#N$W@Aq?JcN5CK_0ujKirhmGhc9p9ztyofxq^xi%7Q*H+MV|XnM_3dCyj8FRw^L{wn zH9vDAw6`v-KM!0OE^>Ja9vFX5{w*+~iyr}ZnhgL~k$>T0N9@OVpYpLVO#2wKy3-Xl zj2#bBUdgO@@r8G-o=lEhTvt7u(0c!^$8JL`YmIIbu6)2OOB&Aw1AU|QT&>8Ucii() zGuKGotNujkZ#QL-&tl-$C-h1PNbHs7U!J;>^eA7pBE|wFoljR?WwDdy2F^m?-}do* z;EfTQpRHeLWFNm4`v+iz?$7X0AIS^wl-M})487urVZCt#X9;!f`=IY{N1T}Z#Mv$! z^)5y4G0;t_GZ+K&3-|kWe;Y%>nTEd47}3jkj&rOm`dP7wS)3Qz!4vumavb$C(T8V{ zOozVTnHQsn1C^7Kc`o5U})8uu~r%OJlm98Ao)tQ)Ki zOr*-&W_|PRIOs3z55ecouI`uy*|Zb*qTW9gn$EnishdsWBdZreKf|tB6?sIdwO?XE zkKUnxe65@MVz$~6@BKHH&(ZzBLuX1eT}JfC0Z-Tt28Fyx>G#SDMZfoB|6!xPj#8dK zcuMS}{pUco_{nO{ldUg;lwuFa=&E~uh|Eq|HY3DcaN%33+S)U7h`^5K-;gLI{%IJBenx%|J#Ow zu7KbLy|O;{Pho!93as|7DD200-uWCHFcuo|o?(B==}QHMarJZ1FD5?DX~T(MD-F@# zv4(jpQ%d`Ynsg_wJWRTe5_Xbcn2Qx+@{{l?Yw85`59~0=RIkje1RGk--j_JBj zZSF)f__)u+-WoZomYqjX1{bleEii5Q&owQa4g%-Y4)Z?yEayXq?7?~FG4PSGuJFiR z?paY!Vs-x;bBlZ<_>WJqgpT8#F^bH%Ef&-O9W$mK8&42B*4<7w>(kGMeDt_rJt5WIN*B|z` zKAKFvyuWa~ZR9-9#U6lld&f{y_c>b%ai8ys z5BM?s`So~VwFr3^p1;#Q#V=E{AVK@n%9f?5&FyLoM_-gX`=sE9NnxL@L!n_G(W1?G zZZm#-K6nj~X-B~Kp`1|*{oYjsuMc>I$dxr^E*lY*t^Ku;&IIc6N*fa|`TT}Y!A+aX z0sJDqQolwZDDW`gQ8ujC#;ij+x!`SMWZE>Y}+2M4r3x43A z;xu;Se zL@!|n{}G6QUo<>tKl?X>U=K;kz8Ro>5#Sn$ZxMd}`D}nZ5h@!%)f03>9uhKF}Hs43r=ngZ{YoaH`!;e(sN`m@4hL)w26RmsH!2H7F+KQ{#tHFhN!{)MK ze_n(0_~#uPH+*$0nEK)VKf8~w`n23EG^akqP4`OqHRWDBZF;thJJVC0iFpeaU&d3I z?PnJwTx0e)<_?@7pz4{H>4&+b##M4}CF1zXgAp_m|LH#LvG6&qvI?KJZ(jHmBpU?Key}^p5PZu@N74 z!%b<#eW{_~k9`kWt?wG}ln@8nIm|)zj!zYd>zBHEC23E6 zg@)~>)lQb?4Cf9fxb-^yg+4Xe3t-PBzVdF}^dL}DA>;C}y=B}}>SJ4fjA@IZlKtmcE?!!_rW;XyM$duD&~ zLki`i{>lD2@-3XBuIHisRPc}OI|4A#dM^t43Qd%cQwXg$_g_Po=kJj}bOs*3a{rB? z$-r2htP?4ISli>7l)`>bmpcZkUhVidwj_Lx?%;jHPua4qcj@^L)I38k7dp>1Pgm>+ z(DGN3xX@iF_rGQ4VDS zq)%`|yA1j!2n(qCq0+NyAC{@l&1X@{iCyR;`-GP^@R#xz=1w@>Tm5Fn)90DWwfLpT zAeMJM_A49d{p@*7=fk^?JxN~QPyA>*VoS52?=!~yNn302r@l=}BHY@hZhP*iI*LcM z&i~L~8jI1l&;UcS<=K-sGH`XBUN@Y0eSNz_y!K!14Wl2ArjD~5(OrD3i+|I;q;>dt zz+G@<_TeO|%ImHd@Bwg9>U2ZGMTehW@^v^btRA_uZ;g9zmuerw(F%Fy8947pZ6<23 z@@IkKL+w(GK5_OlOeit@d7gdeD!pVIk696}2?crZCrj>dmJ?059dW+xU)bNV!ScZf zf~)`D^`nJGdO5F$>pcy6rSM0pjHkP(hdo$*yyls^c+jJ3C~)WyM>{xIo`?Jk7bI03 zPdrBZg+Q-t3`l2mU#^dgu`y2bQT=skain$e_?zl$T>hpe5VAdKm-&tnsJ+5X5{jeB+!JjOg z;*}Q4HCgONWBK>HRQtt_RLvodSHFGito}yKw};uk`Vc=aSJ>8_2+4+FQj_2xcalPLoru z!0x(lIvqq%^Bz7)LBAMZ04^c#$^qnm!!)M~eV=37E8urz{>$M`mdeS2ABMT4FSFnu zV?V~tJhSnar_&nU%20hUFF<`x-+Spi3O>K&9HL!Ixgb`=b>kO%rt5nHd>HXF?7$w5 zp9fyhUpUX{a@j~OeiL|Tc#ek;^^kn`?87PAcM^>Gg!kVT9>iFW`WA7tJ{kl2L@%mj z^~En1c>f6B+#!%=F^JvQP5U2D#FXA+BZ+?;+k4}ADF5QSW*KDQvuo`rlwT}!!8zgH z$Nk!lr_kS?7!#fsltbS!NV!n^kr!fb%#VjQEyn8pw|22%ZcCKU z1btthj!+$LJp6X3&sbeIiE?4WSX}+)t6Y!>3);s(;HoZ~Gk&w8zxY(m{2Hc9Ft4 z+c^{Y-tQTNpKHK==KIHG%t`pXr1_|B?d*snSc`wbTK*f~-P>NMB+frN4W@6Rzm ztHcI}gK?_=x{mq_ZEopC2K|W`0q$S$W3%?Lw3HmE?YSoE!iFKtceJ0qVhE?;eya9+ zdC*(NB9U^YyY5LZ78>G<`O~>bZ)Qy*M;nBFCGgzdVa?P>ybF3A{(EEpBKOzR9D{%V zCBO^W_z8g%A+7{E*n`hFFU-x)K;G*s^wpUq!0lpiv{f|4vmgV0G3J#F!+F^P98z)Y zO?W&o#?M9a1QuOHf53rZRl|wz-xX)jzhE7>wbwo6^H;PJF6N)m!(i%~m0ik{e&dD+ zIc3~VmTBQcIh>Pw%}(==zkvsiln00M9f-#&6?Z040AiJ*4kOQk^`MoIyWHba>xyrZ zmFt%nCj9=7@Y`|U(iS|Wgebg7(2oiC!Y7I_hF#X>Qkw9Hjue=6@31UZ@@gW+LqGOY zquO0=jv}nFHs4RRqR#AN8VX+*{Lz~}nCb6hT*2fR!m-|ErWnYYz0U;cy&vOCfbT>m zIap|(vjNVO7-*6AiUQppd>FCo9fcl-`J~Y?^vhmz_5$$6IG+2*4Y!Oe7Br2Fpi>!E zwY+Cwzt6@H^!wb-{t}PeBk(s9&%gPlU$-@oDc@ggK(n!tm{yx{};`r~T&N9&}xIE;>Kf%6m?Szp@2DLC}wh9|QX# z;bmqHCboY?{F!Z>ga63Dd@*_wUUGa-!W+JjAo&qn_atbYRv9@ESP$QXzmoTqK}+3< zW1m()UncXyE&*g?kI8hLi|Q30M-gIxYJb3djPuNf!j~lX?hp5jvyh$L_|Z;%nb7~q zp00)`J!f7-On~-H2KJS_P{VoQzNB5L4An{2?jUpQXXsx9n{_t6h|hi35FfWyiu!#f zgwdA!7DuYPrRuqbzf$(T6I`jZ_sz$SL!nRR{W1K|&w-&Rcxa{v@UQ2uj8&e;bT{Dw z7v3MGoZmmJNct4$26>$kj`v9RFio-zp4Uu2W7d2Beh}5?MaU9g;okLJXQAg}gp2xb zn%fFD@Wk14;we~iF6uEBd?v*xH+DfdG5z~g;w^ybpe&shL34ory>-%yKCA}Oe>HMy zaE!)7kJE{HqMwJ5$k;H~XvlkFtD$ra9JZN3X_`}b9sCRq$e7|K^N3$C*O$Ddo1w(2 z^}f)LNj{{*ZG&;m!?1r5zvPi*ilcw8oc*;j{ZgT1*?6CZL|KE7x$j#wAu_`v2vUoMekvM z5dA*Ktl+&Bzv+!Q-G5-e&wK0l5r)=@??R}u4U&^qSQ1Z1M>mO-`TG8OshZ>GaV2v~G+IN6&89fXagKvQ5R$;%-x}_mDBZ+d%YmYoWbW>#(&+Z`n*lzEW2(hxG_Cr55 z4SmO&iv$=vyD4Xz9F ztfSBmwC0?s6S11dcF0ZoOz_DbD!eQz7)8jTrX_85LRK8IC; z^?kAPqaWCZd)h+J-&_~vOH2Vz2|2x$asI_$_Cq_-_g{ox{S*gky+gmx^Lwv+gLR=p zE=6e0Hu5W3?=|WK-X*L_54<+(yrj0j!^rQ?K6JLH5dnZ1@mLp3wJ-@qnvQB z80Fsn9YTpL01b3hzw*UEf@*c;%W>fO@$dI-ob=OOzQg>M2M4L(DFKW0^mB;bPYa9k zl75O5Udk!(_!r@`a;kznixrQa-hGlPdxHg-kI7sSbE=X8gn4W5{%_GTXX?mxz(#BF zr)}(ldJHl;Yu{!h+}F(^%JB&vtX$RV;19Bo_&})o7U6&K#=9E%g_+NNF=-N1d1lQ5Sg_^*Z@nuJpo}*3S#N39GJ3s8VlU(9wChRTv!&&SpoT6Sg1E>K9Lrii~AE=u>l|lX9JSc+@6Ny1- z2daV?s;}U|vQBVh?a`V)_5QAM;KNfi=OaIi_JP`XYDy}xO{;CIIQ1K%e>v66?ZD2J zQCc@N!dwiChm;2CQWy8j1>X{55t~cczp%fhb}Vg1US+SZR$3=6SI&ud<@6$M*L5QT zf_3+QkY9vY(*0k9Xm4LOT=-HG*fVT~S&+m+fA8)H^!q&jN%j&B&i0AeLoqL;2j(QKi##|)`bGo&OGADy|Hixl z4atOF$aUfUBKns>Y<%nEC4Aw$RcY!o0PjNPe%p{|fi>FB(0rqS@uQe0GoG~)IMlpd z&iLJp+A$a_1p7+XeL6PLd-bx7)LU&E#*yUtbaT)g=+`E#vyvl=bc?x0-m!Y8e%u&M zNV7?Q84mvoIDMh^F_K$*Dh}^UKUC6h+o>OUZXki~zikQjQ7k+7>907t&+ilZ72y_s z?nsLPFX6X>m;-LW^U%mdv1 zg$C#%JBmSH#dyhdXKUpab{s>Jf7i2_@b`Y3kNmU7NCpWUOsk--Kl>)z;Oo(AU#RXE zec|87|ID#<37VS}kRbfEzuxtu-N0qleLGTo)$U>Nzcd;+x)Sy;ND-Un)Bt=--Z%CJ z_mq92d!vYBwU^jxe&xnP@Fg*~{yFqxycaAF?)HOQuiwwG0~;MuE$r zw02Gvy=Of3m7+Hvs($Mh?oo2j{CYf1{9vv*MI4FAvDA!(Vv@_+s2@vwSmNW-PJHZ zY4m?%R!u0qeuS&&f&SW=K${peIz2(^^`|zj#JR=s;E(M}2Wbz!PVswUugSRH zlFb9u*NXX==rGam&t}kiW#|VnhbzDy{ZIBm)VgOJDuaNrU+jq6-g|d4jTny~ z#Kj${^);gOO}tCaLp_nulmzsiQn;Hlbh-+ z4~$ZsWD4rBDkq}P4uKEy>c*v)F@I*RQPpudh7E$H_Cl}B=c{i{5DCXR$d@=CYm$eB z-i!TQsFyW1FW=h|=fr&jA4Ys3d)m@(|IpB+VKKU|2n`o*>%DpT##|P{B7d?hV|7-0 zN&l9EbH>6`pNVGC(d^9`LM%7l55E}jhi~^_KE`|RbWi9g8N3MI#bT(b=8f=DuI7a_ zt%r_>if?}2)imXlY{@rPqgw6IsvNN_?(39f-SdFM_NoyGM4SAyE*S-XC1OizK@Y=r z>bTzcp1E(zbWpxr*+|JTXuB+uIKJBJQ?|ilvYzlOFlRJlst@tlx&rnu!g0+E(Y%z# zj>_>p6-fUees~8 z=q)8T9(zs6#c%_EW9hkd7setNh<#JwT@+`dMi1yMAuoCG7CI%)jp%#N=*su+a68TY zX$UYjIcfbPA9I4QT+#-4EbwOm*W`wHIEm^u*0^hRDxB8~w&k{wTVWkFM5 zFgJ15OU#*>Yq2bh*cO^PBvtD=>o_W`y6@Mw*jFsLnR7M!oJL0xm%Hb!S#zki zf>Va)Icb%f@K1e_|03W22`j1F_pN|_4hHPgmC)}CU^LfY`)hOPX?Xv$7WM1i~s6YE4;71nT>FYd0c$g<5 zbS?&eB;#j7{{n{-edxzLKr{I~h?(J)c>LSw&a)3FzBNi;9YRtg?dbUrr1|=zL;IR zqVH)S^f1il!`w^qo;{!+gZ%SgnkS7$%FXig0mOJat8q>=mJ7bN_A;m1;hLdbpu-)A zWp1(HmvBy%m-T4sBa4E&#zokI>i(Rfx)kKSGOltL_#oF^Tb>^RK8zIuevTtAofrM< zqVyiBXC@m2)4SD3C-DPZfu5f^^jDyV!8m_i<5=~PR{u`si|ezZMUS41JTme59?3PB zoBH}0>N6H{vI*i9 zE8lZOzPwwX7Dvzu=IS2uQvD9}Frr&cMXor;H+M_;>-!Cz9CQC)l^9CEA0MC7|9^R} z-?m{e?2mpQSeG2sV}7u!j7Ofu`x?z0H=%#|i(@#!Q(}BT-}>d0AKVGPZeXU@U`{AJ z3qL>N^0r;QCWNXPBX%3Qf3f!U-^#_Q-qp@QIbsJ)>LVQzDc?uOfjI`ttrlfO(`$aG zdi&^}$_DQX^Wwrnh*dauAGXu{h)L*QI4`|D^fC-G+Zv~NqzA#p;N0?i9aZPLAcW>I zV8<8vVyu5$WTIif@7?u>{{=q4`zNm$T>)&aeK=M1Ru}zcuTk62UG*u*uf!BSW&8-7 z7tYUXVNJM(U;OtiMSZxI&8T<&wVTc(LrC7;27}2-0L0lw*?%9F3EUK_9Fq>nb!9)! zj0DMF+}j+wOZHD^^`jdvTy2Lv94UDUoxr=u8aHWV%8>;6G|zF6efa?8ueFBW5_#os z&`w7>xNC+S#u?qv#moXUZPL{sB2ww$PVgy7lO5N-X`rKezsFqBnlD z6#f^K?K_uSiT-m_`)JYO>_PqZe|d)DzfS}Q0LOiCW)St_Ak7N!i$TAZS zFZ6gt@@NlY82B)ZgWMR?R{FRX$ae^XoTzRgdPBgaX*_fqf;{ z_n&ZHq~ChmlzwCm_7;=oWB5dBA9E(x*l{}U;7?>866_^_w0^?l}DeEZ3x!~_l@Ksb}!=d&rT4XQ!nsgVmY|xbw8ccz8p#2SQZe7 zIRpM0-%cUll7Aoe==T{+*&Y6U<{Mx>hJWssY9GR=80&|2;rAy%)_aCK2Q_rEBaScX z{22Xa-pEPQay_UG2YdAjAZ*LNw5|odCC2k_mw`*pc?vn{#PY5(`SfywUGtU0w4C&I`+}CV}53dd-=bOEVuF`+dm+{l!=3 zKCLYXudZ82D;GLzmv^srUPY?G4+Q*TpxpRcg|!u(#&MjN)kkr#%ObCm^)L7G4B=o6 zj1Zm98tfazk3K4$?ibJQ)}Sx+YYghzK7{tOuKl}InJf2Q8!X)F=?3~2?x(=J5PxPb zFJk%exaH87GOuApsMHtFpd06FCTm>2A^zIV<@CMxO{VsBQ0T67(|RV^PyHanP>(U+ z`mqhQV}l@gZR0q{`4m18tVkm=rO(d0D)FW3Md^;w|bmwgiU z`wBLV&9{M`-qY~ z<`ne%{jnKYIGBR}8HA*~9HV{}B)vj!S%n4Zqg9mr8W`*#N^8RKDIAdIwE{a#~8G-f{%Rf*MWEas+3_Gvcp%&Eq2Fiz=;Bx! zei99T3ViF(F?%5I^}%N@M6HA;*<)NZF^<^@{Z7!B91zBGjg}1F#(sY?2N{9 zLWJt~P>*q3?nCIBS@$Ja3A)DQv(s$2t5qrU=ohz8j|aWeqVBs#`uu%AsfVK zeh2iw@}3%w)PaNG@&k!u8&4!7Ukv!mSy_0$`24&G(fPB7q58V}A++TTjB)2I>A;V- zcjPyXB>u0PQc^WHKJc=^`>$5-;J4((O@#nLnpj4OJMJ>iNN)euki3B}&eSMi&9fok zDal-T8hA>q{{~M9?SGHb*uRK>^WtD~lV5bUA-q8JFMq?Ga(V{(7vzbQK8AAw9%ka( z1j)ai`?D+Yn)zw-Xzgb&x)ZDEHdIU`sMHqT_X$wl7<7d!=dM&@Bu(bPjM#8ud2^Q% z=Aydto>7Gt%6IH^-`~QlKJFf#%9Gd_pn6*Hl!PZ(9rmSN~!tC z4QDRe0_gc=Zrtv!!Mf84==UYp6?v~bAKf+>c}b9X4yhhTaoiVe!TZTJluc2@w*0bH z&9oXA?OLV4%a5%(ywSl}I>9#7Ex$|^h<7cG>3vl@I$9;6%u54KKV&%4M=<73q6LR*=WZl4rG zPlsc$cPU&sEcwt2bMO=Tec?|R^A=qlZB3Wl)!rY?dQZ0Tm$~hK;BGZ!AgIewIX^Wg zAvcT*=6WUqg?!@Rzr7^?wj%bGEE8V*DU^^-w$KK77NQTs`yyQEndLN}9`}wNU%;>3 z)c}sTZkyi5dUv_fhV8Bw}wR^$YZ4g3J3E ze0~OuV!t7J^`9I?U*TU6NEOO9T=aTW46%J+BJ|0UBlpAVp zNzwCm$3geF$su~57ay$t;&$M{0>}FO>`=N1x%3D&+g7e@|mAK*@s>wF%ZW$4*gLvO(2y&>IPi1S?!pnqYxe?#O~3U|>7IV-^|u)J@G zf3?0nO~c@DOE++{S&u*2lN|VixrSUD=zu(uoK(L#20T~<<8}TegN8^jK?mZv(jA3K zwCQs9UPCX%Q!v(w9Um4LIh|*iXB{efUoaozKYm^a_#n(T#(XS}^%Top)t9m%is~V# z)ck{)K1`TjVIt`E8*Y&h`&dV z^T>7Py7SE~L*^wdBh=@LdWtcNUp>-^@nlzOnw6i2{fq2B$|6ska~&226V!p(kGrJN zBjzbaM9>0$@Vk5I+-V$i{v!Z>A0I0DpzHCU*)I_qkZ%azuv$5K%(-+`!42UY%~&_W z65#8*I({-w@71J8&;Qhh>T{v~AeJVvFlt*fpaJ*-Q zHa-NkOLm*j(Nu|pPJKd@hXg+VQyvUt1`?MqlTn|xhg%|l1J28SG_;4|!{o*KosJa9 z_4@C~!QhK)nx*E0&NWG1MwQOcCzs&~>}8|gqlIVM{*|g6i4*>W6e*vV==XE6_j}=4 zsJ!t|XU!G%v?h*ewVj?qXW|Ynt7F9_n%>gghBn z04>;|5y68E> z_b9nBufs^}tH@1I9@SlA2n#;j+tD9w?J}dV|A4Le*^qr6R25}m?#}_VoP|kW+Y?g? z8*j6dcjEPS=yDl&;Nwi76TO<^oh0|u>AvxFUUFFO7%Y?B3f=ND&X;NxM!X(zX^<-U z=zI<&k7fY!EZ8>|5+&Rt^QkoX4i8*4OODanG2mPB0=KW5^!2|j9!2jF_uM+xO7&vk z0B2yJdUPB5eKGRp8m!-X8gABlcR>)1L;3omj4zG<&!*V`TMJ@0R^W}^`T&%vPu!3%23w2wpnw?FCB(sBi5SZh(YFlYCWA+1{0QauCvVxyU9;94fxTwj zKg?;`I;2SNkV;UY)t@jdm^f}}H2RlJj>QO$pr1K7tEU&$K-p3pT;8g@a5aSzUz1av z(n!Whg?R?!zz&wjejo4V+ZM@`;Eu$$)^3_-iW7mvaV$NW z$50w_CM?dyX&&jt5am#R>qvdMaa$jv`|&xJk{ACP^D)s)W4?p!-j22(E}?MiHvOkl z&=3W=g3B01p6E>gh`%f4fizlMZk|Ny6E0^#JJH#H^A@Zyz2-L+BFeIT*m-f z16kp!Voo%M{S?TF5pL1>bP|lTxr59fgA-He&AsB;r;w*0zMLk=fh&9pk{eK!f=K`)$UK%y|c22nX`a0teF*%B>LG8|=H= zIf^9LdybXzwSJ8z&Yi3OhnX1ju%#uxA@NKz)-;Mn~a_6cqj?w(}(P7HTS&?V(y!PWP@IeRTf{FGaj^VOy zm`)9_=E=hTr8=-jJxU-?975>LeyMaY51_$W!IV)C9Ys_cVZ9QvXmW)5En>a&Jx9MH z+*OX=o#T;b zz($|y4x*1b6db8}j+adTKTitRTj{D*qBXB*yN~!7Pj`-?kt`HDU*yX#<*4_pWsve7 zMh2jY2+BJ%0Eu8=UhrAPc&O zn%D^8eJRHPsVC4qVhmq)T%qwZ>)eB#X$<10zfQ20oQ*McpihRob@mwtdX$FAuM5rv z+Om7y!H40#e@l)b{-mbE=)W9*NEW#gr{%qXehez}2?glqOEH+HuB-5BJqAV70sixj zWADRr=3a^P-Jh95!+r@M#&qsXa}nPDhyS98X`rbO!laLjKbA(VB>(T8VatuShn?_B zp2LqUd7qa&RJWfNAl$r|MouK}&_X-nGQVH94Ask9cOYQ(Vj5xp!q~E69ph;j8(2;h z7)~5qTOnC^)yMW?|H6JO6ZmbM=g}cfbM0ngUx{4k$7iF6w`|K%k1+@Ezh3E@o3J@n z@*%guUkNjNhWXVf&5!!aO6O_ti%C8J{FG;Ab4QnL@ceb>#v(rd&LEOJzbbyJbB7-0 z;?)69n`1sEKGiPJk8vQ`%5<8}!7Ip1lDe^43=J3x!1R!C`h;_FDk#r@Y~WML*AdG3 zKz<8knqGk`kR!kWXRoyH3TWsre&OTTGf9rH(@^rmJSh)69+q7cK8=w5)u^3b6oCSu zFZwmM2f_wzP`Rat$71IQ4*UY6L3tEk4BdqDGN1 z)CMs~Hw#152i3rlvQZDsX&6L|DZM%m^JdJ+-}a0rR2{cBV_zv;&1i$fZwS4z=vgrz zlYSWU>lN4!jfUT;o;1E!433Yof!?wj8>*lmlQ~&6%wf6yyj^Ha=3F1_Uqm0X(^~nD zUSp^{=Wu~{!#OOCCKc6z>4OPNPK(SwxdzvX{w~9GZn@2s*j5p8J%MZiIO&7^{Sf#d zPodxEabREM-b}Iv5&t=SYHW}SP9$D${^^2zF~ssb$Z%1e#K)q2CFY|@hd#6c{>qXv zz`AP)zj=n8)mi=iC|)n)TR zgq#VtxXk?XhE7o4rGMZ@W*zJDRKgniAKbHc-eeD8V*q>r;;Z|iD4*5^x+vzJ%uJ;zEaXo?UK0D& zaX(2ud^wZqBKD)-2X7{`v{`eAy}<)Q?&|tQ*lTi~V7g`e3NA>+#^_(z7nGQ+^R8NM z`rb|Q(>=$R#)PfWzTeiBkp5-D(m2}EVS8OV&{X*oWg?Y3G~7fi3$45@+u-Bf3qJO- z$slR}=0hx-o>;wTAGt7u_LhZn;Z!@-4c-l;?hu6Rc8k$@#g{nsEn%K4x!X@WlH^ce z|04XVpDZ;ed>;0d50~ZF#{QrY2lOnsWC%ZPO)6cT3!~dAe{x~nu#Y?a%z*IVLhTER zIcvRj{(BN^{jd}ojN{!Bejdgb+*%$Y{i5y6LF&)U*8M^LTI5T!5%M>DPYiTSPf#7e zui(P64*o3oFo+vD{8Ka~^?+d`+FgAib)o0yeOIv}pO>qP?rS$j5!*0ZqJQNwZ8r8V zdsknbvHR3r$>ng4wxeu-IbXsrR{YbiOY6pa&=j7h%??m*%6CqBe#?Om10Ut%0U6Zd z?VB~Vr{X?f;qB5Snd4l~$InxMSa*$=z{{P_P9k2vhQ>mljQ;l~=E>5(Srpxa(36Va zd2N)w8~M;vVZHkjb>fBqw--1{&H_XRAgh64rqaEdLfMGE!P;|^uK`}bl zsTxnWpJTBGo|5#XCp(hFN{kQDoQ6e~s#8Rsg}f6rQ-v#ed-G)@x903A)t40QEBE^o z9*4y@hPrDWce_F(Y#9Q&nmP;LV_8jWaz$g%Ff>KESdQQkF!(7cgd|toagge#k%uju zY_qi~EKuMqGe!L%HN)R)@cQkckj$>?c!BW=viDJ~?1*i5lk(Cuhl)IuZweoc z`1(pY>3;5wE%CFoFfK#)Xs9oNLKz&H~hI=0Q+KJ zwWC;<59hh3D_!aG%U-LcQIfaS2f8-OTR)(FSMVq7ru2M_^Ae79j1_&{WWLjK z-YA`mO|%kz)JXSex-rZmvQvhc{D5EW9iDAuRf2H|df|T&r~WVcmvnq~jxDf%L0*sZ z>;H@ntiO5ImCo@zY)VC)U!rf9`e$1klH3E^80yElw>_XsfQobagj+^a;8wk=Md*7z z+M6)-tQ%AxoSY7DVE%5_JOSwWnfqcF4Bzb-IG5%I%Rbx}{+C|fD9aL~&@VtHjT>|faCR=HKYeg}7p@+&M2nfH`Nzu%hw;8~W` zBV%hu&EqDjgX^g=_E6fFUpA~u+<&RA@wC_mHF~m2XruFQ-JFe1iv|W)v9J6`zX#x%BU^?WB z@$~K`zL%{G&YbVAT%%tTDUcUIbpllPGaVdy%<=wuSkxcP2@~#df9RHkbCQ0~r~$cO z`$#*jm%#1cv3|zu+2J1I8|-FAUJ~|+o9j3cuQU9i`)7Sw#}yfR4+lBx{y!^`Sm*en zO1$c`Vs0BU7YIt$`l(Bp=tW$TQgyFU2izYP^n|-oO%AGszKwG)uUEppl#Q=}=~N29 zF858b^pWp7)a`G!;DtUpiWYI# zo?m`7f9yP88pVR7lyAmH$PV^2!`zT_lP*-G2e5q}K)+NGy66(;+Q@t^8Gd!BJxbi3 zA4a<%mpBAH*I)eoLl09C`-o_7Z>b|Mj!V~lAo`cxh^4-4>rWgXa6AqJ8A>d7 zaly}9^z3INRL^o8`mvLR>8r7Cv0=Nwz)-?zI`ItWhh_h3Pu?|d=BU+Sr<9^S%UH(8bAk+aeRlt(V}zh@WNeqJrtj)x{O}~r2SjJ9(;aa$DYDp zDRG~V!-(xQ&oKuxBOYP?xO+P1zYhNk_O>p~&BQX8<%c}z0bkdb1GN6|LjS@tQ_KY< zXX<(ei5#nD2jcc&%7`T4SZ212r}-S`F`~dgx?Qh@$XygJ>2&e6HoG1HTta5Gtv?Bb+9w#?MOMcU$ z)2N5or#m56=Y4z4bPPD$HN}HTxV#npXaq0J?|w7zUvi1}a3Nj?`L?&EjkwPn;=8}{ z6bqY|ZRjFY|MO?XC>Q-B&bc%;c?S1O{WoEM!Z`5i-lCIOe(4Dfrqx>L!pTSQKuaBF$j*a*P>>DB9jg8d@9OwYXI}oI3y)oaU z`RLzg8z(qVDJYuO{sw^CYaithqaMSpHO&j}2LE+dc68Ky(xySe`5w6sdI$EoxyOs& z;Y*!R<pMDr&6EtSvy&?I%1d!y7M&c+pk$2rCKVP6Sb(Vp}E^xLEQElVIr zauPSh0fmO-Ef;szyou)41PVd5yCYJFuQAUA2h9P1&NIC+I^)Ya9%BGhy#(#+Z}ua`HWsvurY9WuyvdzV<_u`-ny7vw@ST`H`!3RjDl)!# zOBC7th|PN2aM}v_lo@r;?-Iy-&k!DcC41riA4M*g$YkDl(0B&Nl?qfYpof#{+p&LP zu5r6!K2K=?FN!z;NVeHY}Oqc)?IJoK^szvL+#wDxr{B z^&9-iYy`OKD(}pkQX`4ybe1E{Bu3|%>B1SZ{V$ekF!1NBoACXg{1B^t^8aw$mp)ysV~U*NBA#$I6eCcf{g{D+ej$$H5A-d8K8 zlUyH1+DKjP2Y-}s(S8aetY;u_$}^-+A00t(S52%7{TTDc!oW{A1mZ9i1_HQm>xsU8XbnK>Nbg**!v#1gezhQ5Xu@eM)=Q__pIo23!QnrzcDIS{Y6pVmEDja84FQG$TKUUmL>9DxEo{A4i)T7Ln9 zz{;49;kj=8y@^=%l-VT95Z{4KGzoruqYrV+>E)-;d2@j`8C)d32+y|D`NFe6)kQ_d z$Q-Ckjd-nl-@#V~J;E96U(Pt==0+bbJf1R^qNg=aHqrb~zq!x+Ays(2Th?ASSO;_y z`+dnP+U+m?)R zb8YGJ!K3*)GV7&Pxl|1xk(5}8>ry**4g zi!19PKL`4gRp?(vF)$5&G5!v-c100Y9{oJo8k|V<36=Y%3!l+qU#$8Q!`-x=hQCtl zWbiIn_u4gD_8|{(&Lj`{L6+)?Oz_X}!-oC-dNyd2FL6rZ;nCj=srRwp$2QpY=sy*y ze2s|eBj20peBbZ8omtsNzq79JBl9?f^@xJ)J9|d%e?f`Yu**P(6Ni z==j9|Zz7~J0YRN@EMou}I9zcY2tC$^q&v{XUmxjuWu2 zz{hWM}tI;#%?d`lklMxx&zd!cNd^tBG6FZ`u-sQQ6k`4P)k zOTjND`8y**$qmon**I4!k9%t0tOQEoJ~R@X6|qafIhg+;*zDukB+Zdu9H+UGbM6?-1;2SDNjXe2FlT~2 ztqkf}=`TvhY5fU598%Y(Z~Ze$eUf!BpEF?tJTRSJzi8ELF}O?jdA^GNh4Z8np|_mf z|KhWHeXMBb8Wa@RBOq+ic1f67^X6M+8Iqfd{$IFNCxSFbt+OwI3RUhOw{M2rqv&7$ z!Pva>54Nh0!94h1HZJA1k?+0Nni!pjlm$Px;r34TtK=K}KHhH{L9r|>-QXoYoIK3E zIUlFNS~G=kK!Jn5-IKp!{{q1FzbDhQKD-d2`Gi-!2vnXWt#LnbUt4=n zsN``c1*U0UQRRGt*^RUC2r ze4Ahg5?{SvByqk+_Kzmw_y#NZt626@u~IY*VxcPhm2M0cuNtF10O(EFp1Gj4BmKyr z9q7mS_rG#|46#4O`j>d+k~Rq?wnr@eqcb= z6(i62YOVN-skFHsCall=HHQnnt%W=oIa6r#_CSXm>#Y8=UDk3=_hhChH#)~b=SrBn zzhQj2F^JFw0OXWyppB36nHsA6l6lbY!vFqoZ31yyF&UhgJ9t0cp(_*4&p_}U`F$$k zL0s0&U6!c2?LGm-F~WlmyXd^%3V9a5-Wu?8Fy?O#^e{cKCfIfDuF;bRL+|WlFB?_C ztp4Ho9?EB25kTG9cmO}L<&o+gQl{I9j?Z>)hP)GXdvu^D@U<4VO_sgD#C>t<-$ws( zi@6HLlJ(u*5=Ikuez3I&EaJ6;BR`gNqE5If&-yt0``|Q<_5{xf@8t8SbYkA2{nuDJ zjnD4T5jVL{Ey~1_tc#In!7Z`opMizuWC1G{2i}*9FqHKi=TccmP=FZ!;Ro};1=y4frfjRg?;Ntc@%QMiue`yf~ z{@5V|WWDnuj>o99HeGa5IhaR_PBz$I>L!ob;NTz*`t2V>r5^SzOcOn6zd9y50lC94 zJ8yaK$6Y3@O# zCX$yi)np_4-daDz6JunGXJB8+ANa^f&5i0{QqGr8w!tZkz4}GdePDX;Ec79c;oa9Z zMmeD1SnwGA2k>Ae*VHPA*uJ~@SPZq|{aN>TieQ0w_fYj$uQW8r(XJ@pVwokSaX@UT zNY#)2luE)0y?fbUp2tr);C^Ck+5V-!%rto2@l5T@CMusBb6Cj%9tG|i z=M=W}AjTo@+nuPK5w8GZ++61i@QVRMx%>y5m(o=~HRv2prs1vYZn~4E?{_tDTiG`` z&|daWt+6i*XM_I>56wNi9zdOV?CS1BUD#mq*p86$ux9&RUF^b=0E6z8%-&P!l_3rF&$?ABP-GSTs$02JYHP^Jv~3ifq^*&KZmtX z;M}oJuzaxc!Mpnr%i!OoT2K!LSVefdP75e?%oR5_lsya!`ldE$+pOI%UuHj%C%*T*3Ud9LY80!~$ zxDjt1_fGcHeZkengelXe%M)y91GsXl!Go1ty+4|g=zWp%CG}Gy6M4vkk!A3$(z8Xh z)|FkM=Vv`!*%;k3rG|)}B(k_8@mhRucA)Asr^OIgKcniz(+&Q=px<|UZ`nQKXM?IS z7T^f>?!1_5Y)Nn@-_M+6B92%7aD9yCmY^Qve6w$JQz?{vqYL~sj|O}g^}k>~w&l3h z-`AYzA^SD@SgT*KO^WOVu208I5Ri*VxGqT6=rqvev%3S@XBfc#s_jPj4yWFjsVGAcpU=1U7vuIBIgW(X(w->wAJh|^IUTk^#L>~IhBG{m@v z{oO|9Ayxz7uVkO$#SwG~HvF$SH;t=|%jgtA?a;=obM_)!JI`O?9c%|+WgUOie{8sD z<}Z7@xv`i7a-Z!!RKA}^S@6Fw7moeRJf6PnC3>=Ir_*R5Vi(hV(XWE<)W;ioGGJE& z8{RaKZZPsT`WNQ6hxbh;TMoMR$6VbTl@IzC$*q3Sm?S^R6M9SRGkuJr{FmgW#FYqvlANOI!ECVS{4jbXKll5C!AK|zis)GK6>pScnMaNUsk=Q<2;zb~R#qZ>O&S18{qZv!WMdd9*cbEmY}?=n&81Af5#91?lt_LK6WR#f@bWVlc+i3)dNV% z?&U6$H?}Po`d{!UI$6Pw3_U>K>1i~l1t$^|7#|N{z+YfT9KTT-_aLwL2jzHB1Gf2% zhhL2Ad^;zdn;k(OU);~_N|wz~-y1noQy$p&Pm+Jf%d>H`KY;(@1>#E>S20=V294o= zfuHMR0QQv(iYOmPt(n)q$(35+S-5jX`%*4LT+weQ`_c8QitmZatzxcYs5kh4flM&Q50sX(^KW7HfYR*}j>#O^QQs9pPs~YxS zR}wA`_+z}kd0S{!p5^{F4eV^>1abEspeqAHzvAI8n9!5AJ%^hj< zb1Y(u2N5WlM_2BMk$l6je(}_F85BG1L+Ko3;yaPYC)}>r(9v)Z@pwxz7|3ziB=?5r z$1$n{|9DyXI@nicK_=vec{1xGHXe1S6{vq|4J|Z^bC7ZeXPU{n`aEl57x?-aDfAQP zn427w+qXM}hH>N9a**!rM1KFLBaUeEjJTqG&SW8NP(TcLg2t zRm_ta+dQL89G!>!yA^mB_OK5htQxEJEA}r?-|w!0c{2N&|Bc4}h52gpvy8{UV86n? zJ>qW|j)JDG%hFkZ;b_abM2Q|DryEIGC}F;C{;&{4=W0evD8_h@36|N8Gv4;8+`k>X~$ zS|6k<@GWy-KW^N@Tl$CEEzO#HxC;ESzn6DygS=P7onZoX(_mbG=K$ncu%CTdvewhs zL&<#mtRHbZ8TqC$vFxDIdmEB}cP;!}flHWtuqnOWlRN3_OYp}kf$+Z=|0k#bcY9u4ky` zG95OA!)X0usN`~uS#3!_@nprRbMY-2au-zaDTzXSWC z(!+&w?t(r3&XMfcxMv6-*UO$tSY0?Uet?}I-d9hjY6b5phx`eqa3PrAks7>~SN|?}BS3y7V{2|S3nIoV6?+N)KJ<70jg8lPJ_vcQoR@Ib zkh#pf8qg=O{|NpUnfHA&$$k3C68Vdl@QWOOS#pH~ccc>j^#xy!Vm^kLj`^qE38FYS z9N!v}S5)YveYLMOAyoX+#||k}hZpYP4~pOX51eP^<&dqS0%T<9sk?*I=cMak6uLmay>!rWpdji#e|G*QT)E=0}u*S$QWIko0llaw# zovs|rBnB;BP-ZdoGY(ld3bK}FL-zu{Q^AXmy zr^J!GYqi0B;o$8?BWV+b0T-X-U9y|dChP;eS~ ztobm-Tr|hZHkc=|bDmlABXfdiEAyc$_|dHG2sG_zp*i&Mi^+bhx2?_(ADIcK(zf`* zHpDWPB*z$noRvmoji5>xC$_kJ!*H#FK=~mN#PU4H=L2a2aLT*TzsSCNlv%ktKKKr} ze_sSX{~my7mk%Y*DR9SrnC;Lro<-=pT-;lIq)*b6J2Ebm7`x{^5c$-s-`#!75Zv=m z<-~umxoa{-vVY9%MpGAOba>|Pr(Ebmjmd`xxf^W=7|KNvnXwef#_d{7X&KK8_L+$9 zt!~3iB=L)xPCU&wS{ud+r}&=x#0+ekmb(9;!L&@8uoxEP%=0j(IZ2 zW_;`wPcK`+xzR3E_kgj6{5yI)23H1Ukwvhjauc9eW86yJ8{oNeKKR1R2InU<`V;R9 zFHW}k6JHwz8{FwK?^&u88lso~oDdJ{kG^J`ezw@&YL754}I{AjL`pzm_=)9!_=3~EMq8MRIfGgLj zj(w%{ck|lNMEEJYHjN?i4Za&e^Vv|`_?A(I1M`9+XbR#*GK+huZZ|GnbjZt=nssk6 z9K7*@mR46+g4c)f((c_uiQA!V->_$49bPdLZ7)4?!{l1tlAn_WU&Z$M0K_Z`)%qYT zP4f{h-8A638tdD(9MxvL0(5x7i<$4HTubQrnLFiiy|L!Hp0Oc&3@+<0h*jRse@)b1 zb`pIH`zE1N=3Lw@YqJc<#`_L;h^Bfh2zumA7}Es@*Nssh`xx-O*ni!`k#ZIQ@bL+H ze*SyxiBVp@S3Ld7`6>q9liO$<(+#;d;@*O%%(+(4;JdM3=!{AHrWUzllvA_yUxPW~ z`?tZ*&wq{6{;ESc?k+r_15*kO;eOV1)_LB3YspI-?wdl5u@^kq&Vgn!U=O@nnWI%0 zq;pfuLnW62^{gMpuCq(Pubc9@eH6}%j5X&V|CsmmJzT{{7mj{+He{nSYI&%S>ujRb z!Ml0{=>G6L@+}gvskH~YV8-^E5*!iKO zCkbz1M}YDSf5AMN54ev#;gr{SGbUa2NNb$b9|1oy>pGTaWBw}x!aD}!U;%61CecA~ z`r>e2c-~hT{fp?{YQ#}vo>!iC)j7reD3QV3h&4;zxW_W^W`WtuM6QwqOWtzRd3@bi z5_#2OE4tDIl{@mptHFp62>t$Z#25E3nQdIab>=e-e17H=UkjrB95__Mk50l~y1twR ziB1RpO386sW-ECtso0-LF36NNx*x^&gKbsi(RR=!aNgvDJcH-uL)^eWb}v}HsJa)i zJiK{gIxWB6t7;JD*D{w$_E-KseCjec${R|oH=0t>Op7OB5K+^l^R>?2#IXhEFb@=t z(3ViLhOTZJ_Q;a!(=gAd$py#Yaxzyi%}1^w>|bpUyOD4RE~0-yJmYw)CUg|J57n(o z65|~XZHy(hp=P#ds`+AtCTb7@QeuWlIZo?y44%h3!^bV}WC4jDM)ecRiu{$n zj>NIBTYn4^-t6+5G0M3e9j|^S%=0=jsN;%3H`z~LFI4Bd@QXZ)@+@Ps7CY@mnM zx33b3Wx2D10!ZfUFI===Xg-qIM$~6%xcKy<52qFB;_qsH&IrttfqnZ8I(T4xPE;H3 zslK$=0a|B{cGCa-+30h??R@eFICXrlKXoFw(vA$8l|)D(t9;?VIL)Q1QeepW{tqHc7CA_4h}Fo%Y3{}cKO-UmR>&p6Z36U%Acbu?M|PT;``x4hyY)lu3s(f+w- zN#ZeVvE#ACIJsKAn(F=v`N*PIL472#qT_Q6){!*=??Q66(C=r|w66Eh;27aP^#tcd z_S54XsXq&Xe-0v!dsy%Ve14vb{T@$f+tW<&n@FD8e~86l-ukc5^RS=xkR^#s&4`pf zvD!8tpn(<-ysy<;X)iw(E4ss9$z8y8Lpj(*ip<(7g#T~ z{;mOadPaPXz521xzi`giv20JN+cvj^-j2CaOPrLqbIV@;caNmg?}%?`Q^#32hh2^* z5r&ncS3;kBSO5YA29G=2`GIda=#YQgm@w@-4yO`hLaxJK`6Ca&>Z2ZqUif{xk-};I zH3$6@?@wMJUxI-gp>f3RSC4-EiOYaSb7EEJ+x|P5$M1duoh|scOYokE&(#9`{@_Bp z;A3Xp!`BH`-Q*!Z+RWhYWD9u@R`zir-lxXo+ln5t#5=qX{1+MDM&``5E5)cU$s$bk zpNnr91K1e;3-n(+SIZeF_4?t#>B2*s6$hOt4<-`))wc&7?)telhpyZiD(7|S_sBnE z?&VYPm>8^82mL;Bm;KS#?Bd*I@GWs&Ii~i-`@+0~VYdwVOe&X?Jl%s%$-1XS&Kk!{ zM@RUnzaIUI@RajyXdVaAxy336xla>feCpLX@QLvNsGo^AJ^u9IEJNm>;0Vk6bQQ)F-fE3^f+u!9`;fc)lYRgWt#V{Vni|apAPiU3vV~3k{^D4{we8cW4xx z^W&|FZSI?_Q|JZvyEYE=8ZxeOJ&`lZI$-!2#P5)qW$^Pk5&K?=HQ3ot{L`Lo6J)=+ z0O#cz;ulZ0E#k!Do)EvAwFkA}0nnaAvgP2%W&!%|-s7UYmse5hBMJy7f(tP%F-_-e zH9+2XefY%$ zpSvqgbCf^dHa@Jw2Xib*_ju?7n&P?`YXYyGg`l5eRd2G-m1bic_yPMN(U;)9MOE=v zCb-0s_gp28ST0g{*^TNW7QK^wtkzBcSjn8E^YCcehFH9@RK&-}yp%Dj&!dX&?L9%n zcJnj2z65o{ZZ9_r)n9$+O1$Qt4PGD8i#{IP3I7c1D?7Il-N8>dhm9G?b#R2vJ>TCn z)^VLvDnk9ohXzUx@?&?rODK!BU~A)3qE$Wi9vo1X+~9_*nQ;YS38$EzP2dKlrBk2fR-^5M%6okxtcR6f>j6EPP2 z<+?HCB|ywe24mMwLZ2);n}4z2=e*-1?!We@THH#&s0tnlr@QtTj=R@fCdH#@w_lx;>3=kd!slMua z`1hHU`l|)K>k1N0Jr}~O7w$XCmNL=KufzOV<^s-bB)4kJt!Ns-c-eC!h~tm@T+1_B zGGNC#f`prYYM|tz=Yl^bT!oq7YjR%fZ~hd;0K%=Q!rwe|bEx#EJxgFt&VkkcMaUj) zZdY$wjIl;Z@cLG;@fH25;7pX}p7j2qrikVqmU_75PAtNZ-QMO?R~T8^aLY5?=kfDZ+J;;O%c+Y8l2 zgIwh1alFxZ)MFfM>V}*m4!WD@Ne8foKJyN_81N13PIfBdCD_ZJFt2?&{Q>;k5B5%! zg=c@c6Y}^Nta&w#t|B%leDobd-dpth%Mhz^wNe(kzZ@p={pq##Qnp zW?76Rjx(sX1)LYu4HGV=Yd$>smwJdtpH!zm)#f#5K&+qeFXIEoDFb6nWzK2fACN>pkJo zhUzhHtPnp}j;(bLBep55cg!>7nrs!J`|V2b6JtR4e z79j5{)ad`~xGaO?qNjF=rj5MV|K_bcNcby-@3+*C*@u`ik6+}pbd{^N!^2Cu- z6tfWZc1Ji%aGyuB4cZzu41VXjhRR&=1mYEJf62WMgKE8N z#^|mf!J9)#Fp-)4h;bI{S|%t@ynO=w#20BlSK?ftPvMxObDi)r^j_?j$NM7s<}LyB z0jj6z$6dtVv@l|^t>j@y5;5+vO!0W-_u)pSNECdgBD}YHjFB7jM0Z*6GFpF6=wEg+hiy`xAza{+&|8Ai{O6v5syoE{!slw>Xza7_ zSzeogeI5C3TPqd%jGpiaCu%KNgZ$O>}=6N3qM-hKMPfs`2 zy)5*d!iNBdb|)_Yf6Fp>%=F!dk(&Rq)SGx+dhUl9dY7t zT=T$q)eE%=mHBe@7(;nydB|bqAPN^ttv5!S=mPXNQ)0(ZdkN~kWU!y(JnqX_-V<&0 zCtv&+?!jOAiS<}33k~5aUU8y@%;9vj*4)_*$-3{^(^P$uWkV<&vWdxwensaH{4Cyc zbPLsefJ;B&71t|;++!B;_%2>Ew`lE9V!4Ogb8sxUzC0X3wHR22{fqERKBuXkW>l!WufBEBSAwRr@8S*P zFmkOz>y{HAQ1zbRCo>pemK#AOQ>)knKjp|=Y)l+4>a)s5b+>m$Y0h_MWA($eH_@Lg z+=Tx{`r6=YhLl_Ii%Aa69B)GE#usbolR0j)N5>Fi9QI-4iGw!s-7h(T#4!@L(eE?1 zpg7Kp>^a*O`Nhz`$Q%LvKI1%2L|6*{aAvxR1eV^z;D2c| zJ93xfyC~umh_a61#IBc0lt!^U@IQa&{}FYbVOgC~)&@}#OT+?}nAj2v*gHkf)+lyq zBBG!a0i_oK5fFS|)Yw~WQDciWw%B{`u@}IC1?(}gVT*0n-kX`ppZTu2=8F-|InT5A zTI*hh^s7|2r`-tPw62Ti41HZapuYs*d9Ac7Nb@W;&es98z4K zF}twele<~)^Yg)VFN79zO!3TM?WwDQ^M!eW72JfYe;d3$_LqNy`yApdxq0W>3WwvABOv!{^$aK80Y_o1WND2+BxX$IFmi} z>HbjSd_e(nc>RE_=yoES>a&jA#*bd3&TuH+^Rd8*Zp{dnIc6x%7vcH5xMT3^^|deZ zFWpyf{DfQtFop*lS9x*_wWI$Q8j}?{W6VbZ}V5^uLNdv>$ybD zOGl^Z-n@6X>gb0J)kn)=pUXxw_+cd9vonT}I{VRbawhe}oX}+FWn&RA6=CpOzG;es zzbH_1&X2r_)7M{i78&C2@^Doh>yfqgVZFU&ZSTQB*e5f`(APutsbL9(7L_{_+xC||)2K6P#6N!P zE=hqgY!l13&Y@xl%iUD?U!}IoXkeo0PK@lFuD<>9IqG` zVtd%j!S*!$)8Ru~F=zY?9Ppox&ct$F_^~wN&ru~ao^O1fHtfA?uzlm@hID$+1mN;5 z5i}ll55l}JzT&q@Bpl@H9&-Nd_&ZK>ckquL8#=qK!ya%XJkXSf{!)q2!av5`(COI! z$e8j4ybIVVm%~3d7lUW^59mji!sZ-TuI@-O+Y0Uxun(7x4y;9JTI zSXFqk50U?udF`LJ%F*4OK)CGt>{}N>acn@2ziqJJr{0w)<-slYl{|FcpTPM8Um*Wi z_yb-P_41n@D0%v~*e8oYu2Puz^^e$@m6uvMhDL6;`}kL!A6?~Z$3XZ*IVb|XvMbhP z7DJG;;618Cz9G3o=r3}QS(Kr?Yj6vnup!?vKy{2Vj(UISSXTCEi@uK3{eZ2b`i`c> zkS7nW*e7$p@sjq}4XJ~~ynmQ6e~0~uV*`gU?+aITB;FV1JdSYE{dMIK!uFzWkLTd8 zvp-=<3Kcwop%wly^?4eaYi=G+V;HnN(URao>^<#yjOKj*$fQ~F7rJcpK%64=O!3|j z^9$F=xI%xCUZNdEhUmjX(7z={+A<`$mKI}#ix*eAsh;cYG4C^|vs3^HpUo-Hh+$*K z@NklK*L!h?!#f?%GSpgeQvmBNk6P1Ak^{4iaeT2Q@QhV8Nd&HXwv99-bw)oHm=mU4_25VpL z63j2iOD^7GFME|GSIiW|0Nb(7POYwjmg@ZdF`&z3t-NVf2Wfr2kY)e z$h>)M9{Tv;UvJT{n2TM~Q{P{^c=f5DGZR#+*nRi2=?H!hYdn&bN7Kbi_fV-xG@kXf zHYL?Rv<2Kb02<%n`_45#2bSa*oX0fIn6;O;^DuoMcKQ=zCJ(Q%P|jPDo93^+R+W5U zNBn)H*RDxBowv~QC+Fgu2)fOD?AEspiE&|{Ed24yzI3)*dc#!%vMD6^b$s+bb1_FD zkRHHJT$GF6d0xnL4-=nUIh@;aPi-1Q^CBB&mV^s0E5I3jV^Vx} z+qlntx|z1b*y;`gGDz;t=$eS2%+TZ|i#q5hy*O_b00B2;^`TKemE;o>!eag3Q2;7?|* z+KYa~<9>r1sf24rV8+%|<L>y^_MsMy39uIvV7uSJKX6*?c>O+&bIQMQ4b!Q-jyNmY8 z#o9~WK0W~RH7LoGCOK)&acr7$!uuuDGI=rY8gh^5m9BY=m!iN$AqFEawL3|l zS4Ujg;s-K+o)SlQ6BbARk(Mox1^%9h?{KQ0E zn6Gj(SMtbKL(Qs-Z$|!weU9S>E3e`0S3~X{SGwu*`)?JU_u*IJ_{xeu+R|I#-q)EE zG*5PYgzf=XA-~1H*5OeU5sNqP?EvATnEyjh52^v`8%VtG#@)PRNteU zCc5kkf^TLt$vwTSpXOMRi;)XXd*%MK zOi#ixsdo91{>A=Y2if=jJl}@6?K)%9Nb-KX??kiC4)hoEAi$qxp3kV~(Zt8b;rwfc zJB5<^IvmbmMdN$D~$T{gOnzz=R&mdq7bf$Y18X`(zQ=)W8jckk#=x8Q>J>I%LkUtG(FE5HA3 zKeFD@YjcO(ROMV8NhR*L=+GEk9mKtw;C&Ge;$v^+4@^%ZS!b6EQlHgkH_?kLua%4FC(3#@8EQB8co@aqEzQ(>L&ohdj|8iS`Ehh!ueUh2=Vbv>y@Q_ z4}T_+E$5k6gAc<8&cQh03S7nek^|Ye5bq1;XZ=ehljvA^=u5&LZxQ%oji8UN+HEDA z(}|4}s3M9120k>=u@ojS@GVa;-)wA*^ib~($RtpB`rJHt*?{_TZ|%-3^}W9g)P3w3 zZ`H3G78%%Y`ls#`c7I z$^CuWB3H(ORhkq1w*6+aZL#1u@j(0&_*cxESOI+>YtQ${DGR?gI70YjH+`~*Yt&mG zOwyd{ZV%}#)l^PePr?`~C1+vVH7O4)jXI z2^wMEA2o0C`+o1?hvQt-lN@6&312|gobl6d8|#^q9cxSDIoJ%nl3xc0a6g16Q0T8YUidBLdH!HSrBNUpuwf)gFYOu! zir@ZcATmPJxx+$j*YvPsyFiNCeqXzhhTUJP63zvqQw@5u+bTYuqN z)IFO|AHcc&4Q1M~iM zoR9Wvl?bL9uov4+f*Q)D77hF{``8gBB(Rx2Gg>X%l$Hm?%Kks_{f9!7WJVBd>977!k5B*)<0a%mfpTQ z9g^u7|M;4C$@9P2KS_0mA}jelzQMhTeb&orpwFB8C%)zwoG-1k2j>g(+8Yd`i%65W z#QM`X-|;XQD!kaQfbx{Dh}G zAj(WnS*Tb8UN-F7?*mQJN1Rx6%V5m&)L(5Wd+ejzM^|KMPOQ+g`1=^3+$-e8k_6CO zmWBcAS98xu)jKvh&@`T;Lt|(w1c&(G>?WCL|?8h($e6D>nQMq3UDe4n*3zs~@i>1(CSVw*a&L4vl`&()s&EOak ztWMWV60XyiOWMU?;;oFm~OP!y(sQYq8~hQBDPaTok$~&$*r1} zOniM@^x>Yt_o@}YrW4jahnyxwP)QWnO-#ws`%OWT=wMy%dq|GY{~7q3thZvX#l3-R z4rVJavwkvFZ{S^O#e3{g@jvTVOQNP66rO9P{H{6)gxZAQamc~nhaKU8kt2J2-w-od z@5SC*yo!UQuiUP3M7o;RsqK z0&l({{!*7H;yp&%ivglf+82V8!Jmhn=xt>=ph+M}4S0AKN$xK_l$`O$-b8O3U*As; zhTaMMOpukI-fMHgPi7-I@>ksV5b}Dg_+i^*T{2Y{xA;hL;fBYL9TV4;I$uVT@aV}nc zu>JgKD(p3_-Xa&m12Vqf%qjWqa|iWp9t+kz?z%+zZmdOLiR^OLkziiROeJN?wfeU&+1S)TBlbiO3-iebO-Oh87#F&|+r(^Yg zYkl7sw*bJj<91Yyiz95z>dQtyvN5w^&)oSz6bd^`QgavO7$fH|`$aro>{9Y@a8f^{ zTN>e#y2a~9?8lggU;3WG^$^F}rweCb9PTw-dy(ANXWpYn5Vq*wYcvg{W`qBp+%*v2 z1>~Y@W`>GCZuoKJ^LViGkEXyOSs5eCV17Z5Zy)Rl#HRqiua3)@gILgUylqH7ae%Gn zJm62h#(ECsed&XPUYY+C0RiOqkFT!=Vw(-|aqk{EQvKK69MmsZDMows-bK^se!S7j zHDoV*Enf4VgR$agUN7c-;gHq>pP0`xJ16CCo(vZM^u4W#sv{0bq5H5&+F*YSJ3{Vn z6Afwv7pocH_tSptw6j#*YG@2$3O-@qFH`&%CyFi_vyf9b46Xs&A^i$)Z^ilSw9&hm zTTx^Pw;B0;@vCgMrhj&z2x@7D&gbAm!LHkR=c`cBi6;j86UQLxPRljKAN)Fu*zR{f z!d>psTHwJv|rv9e16V(z;8JawO%XXw`9yj zi_4MXM{|BZmhMWwbb)?1|FTnFnZ21nJ2V}y;6v+Ri-=htq`hR&E3L1zNbg!6oH7KQ zRuq}26JHp*VNVbLLd)K1l7FrSj)mx8-`+FW_x4|(bnR7fg}&d|c~)=mEvF^Le>-&< zIDA}dy2L}~wyxXbh~pEPiQu~Of&_hExv1TmTOygj7du=K*WkX1xVGi>svO~v%!OVl+>r+%+K+hv`!S4XE#G}LxMj-GF@#{z6;88|V3?&FpC9X+p0QU&eQ4?LQfcyw$zZ>0cU}h;8_F+vgkZ z9JfeBe!u6Qu!Oh_5+C_SPx_gKge%bZQOmv2!ja?}YF}3Nc0JMWDLJy)4yrr5AVqdf~fIo|6&Oa(d(FWAubZcRvEdne=ZupHYRy_97# z&G-oA)hA{tx94UOovw|h8ssZEziWs69or`tuQ3zK4!<1&zhxNz(>PhV!N`lrywfvD zdWAC%St+j<_a@F&&Vr9e?khpKkHNNHavkP zG1NFc8w7on7j6lGq9ASWP?PeDrsf;G7Rt!7m3h7TT=3kvxE*^!(JLzis6JZ`e0~8}+fbdXs}1^{ z!THMp8uq0lZ80BaZi@PEgTs}JiyCv`LOMa;XaC?hOJc0+oCh&-UVhw~ zsXjLQE5?Dt)f!wmnx))X=#{dksE@oD2RNP-8K{kj8G(6U&+jq>_k;EMHe=`x>VQ6h z2Q7Ls{A2vrDf7x-?^Qi=4XzQIULXB03^eZNPHgWT@HkaD%peFH z-&xp`zFFx*jo46BKUn=uvt5WWoQ-~i{xTTk5X=XBEgVtPnb3+btM}nFLOZQxi&g)7 zA1g3~D|Z(@fA%dbh>)DfYv`5CtDIH={ABJOdka1^zwZ^|_4&Dk9Ld)iW71w`i;h{d zZ?f{>`+JG6;B|VE`W|YRlpdI@6$w-m!Pyt>%*8r!uE9K@p$EZHV@^klVRW5!_iecE zqF(+W@?!ix{sunG#a(y+|EfyCD9CnMf?fhPC|I^5#Pb@w_&q`VY5VZsE#He$`9@#n zyswO+{yaGJ^Oc-%GwjEt9en<2U!jy&II;a`-?t{>+M3BYq4@TO|@> ztG}xjMzgDz9PkbJmOQ@yayFQ_zP>f|O8$Ph4@e=H4j+_l0sk2Pd*L4w-f}MHZ8n}e zTFSn$K72T+Un!Ryl1c5v7;?$@1%9U+KNrt+@LTeAtP$oH)y<0xIZmIsD4#AI`4{GA z?#xjB^X4YXi+dWX_v%!CJvTo>KVW{_%P_h&3I!SW`zZ(NSSm^F%x|fB9)9Pcx$L?L z^ciur!aLr?81s{Yfa(!&;M8MRPT7mgx z5en3f_5lx;gJU}ty@J%?)_%(EbXIN3?CSO@Md}F{bF|~wP|2=}j z<>GMD`28db;XI=#3$;m&Zw#R3Y;1pIR)5(E6Nx{nQ6Ta9^eg5U@zIVA72W6-IF`~6 z7K?l)`x0yTslW8UV&7|5%rCf(ysT#;#w1RH|K_`gASpMu75<;oPZ`=zHrZ485)1s5 zdv(u2^I+#~h;0FL=8e?(A=*K?p+A7H0gS4XTa56h7WKYvNRA8o%LIE&d?Cg8m$Eot z4j)Q<{sTCb%w4PCM8aQy{=zk*J9nYalNTl6T}KY@Z6 zR|Vf%<^&}7@xIjM`%oFYFI)_Mz)d-zZ{w7Uofk>mSC@+KSh@_51;!kfS8v%7*VijEpe<#)3p;xA0aWxY6v6iCy z-7`jUj5ID?^Jeh*ay?pS@L;9?2V91es4p6}$V2y9C*y?Ik_2Bo=b!#qmQ53wKT-~y zWiI}Dhj)EzO6ml2Q`rJo{sRj3Aban$@~xa2zoU z=d;1ZBL5B`J_Yt5_riY4<=0F!jKBQYk2OPWMh9@!(|6t9@8$%*~yNqkMSz7q8E~*^k6;SSL~b z{JsXx2`*4>?WFTK^2m%Yi9ZiNChr&Ex8xXq3jFgBRa(3_W>68!x0d0$SDRxgV_x|! z;HtwnykSkI_9maYVk~>#^5MV8(LKO6XxNKD(S5!=Deg-`KQhNDEr+|(v;Ru%4Z4Yb zWX@|ljiCx$Ec2m>=2!AU>CJ(c+rz!UhbhZM%{)VDpV9xh630f%?&zt6A>aFHDuGt= zZ^x3OwJ))whx9KjH4aIp3U&%k;{qxeu6=QbS#zDk2RL|kJlstBwcnSg25eLvq9e3NI~w_Y_yspyNTT-eJJi|f zK{eSBcrQ-+s%+*#*Fn$Rr~TPFPl7)uIY;;{Q`rd8I!QT8SysfnKx^cG!hwPQ1Mhh! zdBE}v#Lfn1%!Z!~eVk`LhZO(*{gp@5#X@~XZP2sM1zurQX$54>Psn5Pe(K{B?33BR zH8z17aWLs<1Ref501=DZhV-H=jG~bt09<0;-*KSF@N$*1l~;kEN0bc|7r#Ji#KwSe zS=#@X6H1L>psonN4%=8<{{p{^1;Ri-xhL=QK>nM3dFkP@Z|@mxB6l%D-%{N=19~M4 zgtew*5Zp&K`<(ME?kVzDzj;+hIoE$0UY1Uv=J@dQk=h?q3&GmIxGbOM3wbo^0!=V}1njS&97Xx?6dJ;l>S-^1-MP>q#TPQeM|-F%2dh8gXBXwl zC)*2`;m`;(Wp{@&!_HZAJ?GM7Kb3eUS^I78-ZMDf*SavBq<$Uw7vT{j7s9&M1j}U2 z%|d^Xd9!4^`20p5HH**X^aJFbA>VZGnXGd-d8z+C3^@SqtyyFx{pMbnUszvo=?2|z z)LD2Qa*fTv8kX8roX@I0O!b%F{FU>XYN2{#PdDA8tgI@0 zrLm`Hy&C&n@t@7`BVL=IHbcik?M1hh;li!kG}lCexBL6H!LbXQ4Ym}<1@#*;i0cry zJ@?c+R@(r{)gOcpS$Z``l%+LmLnA+bi@rjPYvVgO($LPo{yBU}3_W8X)T0;z1qzFR zJcH-PN7ySa{R219^Uy01w6*)eMwHLo0JJ5*uVn!y-TD%Q6TK$eOV0L z@q?gn;&}G9LPL2C@bh!t@3X5Vu??-y))?aYk0YBhsl6;huNYyFlQZFaV60I23xR}b zZc($7&<(lI2Rx@`n^k_QJV>IP5;j1Ln$ zat(a#uUo-C){~2`aUbLH^!B+_nt-%zr#Y!qkr#utJc#R53UMFn2#&8^fj5mq{A&mF zm);Ea{U(S&XK6a>up9B${t5i@lFv57pA6Zo>UI;&W^USd_l=edkev9%UZ2nLW|DjJ zm0~_j_h3CwkgsG8e$EnmLaHL;_(J^tIk!C2nGkEaS;``vzjDG2@0a)RpeN3VX%IfO%@Ei?3JvX-^O0* zyXc%mm$(;vot5Mm_XmPIhk&8E9`;O}7uk?wa2z)hK5NOhoeQBP)NpqCcQDOnpg~g$ z+6H{xje>5f-&U+jj0yhI+e|mHuD*J!t$vph(bLX*ie%(=#Q2LoNd^zaMN#+lAV)nL zAl%e8uaGlC?Zt*YCiUAi2o!GJwqaTNeohFbA_x)Vq0b0U5dN_Q$ONx&9}^!6_GYWM z&OYo3y_{{W)m%*K*K2ay0R1@hU03KYu1q&DG)PCqMT;LFqqWg5rTZ0(Tyur|%@W1e#@tz^hQtwINHOq0oA(ITQYw*9M zeVo{Xu&%c0a-e?iPeb2F9w(|(k&%x!r*gGisRZKVwPURb+uTRLHyxw7Kje|;@>qN) zRJki|0R;LE8WVC1(Zjz9rwiOSQN>++X2)|<>D2aR!L@dzYW}&NhxB0gXaL?g3v}>X z3imNNP5X+f;yyMM34r5n#PPdf@8SsbjU3M#k@OKY^;?>oh;fb8=M)-`fW7Sx9dbK> zPgCKy6yD8uJ~X^56zM;Mw2!QXi}IRn?S*eU&e^QF;>AwFr$~hE!}Y<9*A(|uSQi+h zy+P7ilCD152@y2;=z^hrM`RKEO2!;ZqFu~;TI!+w(Z}Poziq6U?vuNr1Ss1LmU=bLW&^ZKWXJnu~t&_~X^)7Nc@YkN12OQ7K#uvm(Fq(2vNtYDd++U_`%cM~p7xlklaGdS&O6V`hpDuhHNRwDtLJx}=Atx6Z{Jn42*HwKy&?^~# zTq8lf%6gh%0b|4BtA-&9(&ed zggf8LgZOpp-BSHibxZaq#;2Eo4kCJAqaYH!>kiHr&L!K&6Jxilq96I{)h*kog4t4X(Lacfn43Z}FXOoSHPv5_#lUF3LO_qRsI=)w#p1^ts0Q!aR{5>zm2Jmz|e6!lAqa zUytODAB50!1}|9pOAkQFW){L<52@j%KHjEP#rINq0p=afM^tMkzLlP<;WJ`B+pY+m z?_Ki^rrTe}`yza3^3`*tLN=B8rSERegSFxwysm-5@ytug(%uE|V40&(5$_ZGppPAl zCMRBC4DwU|WoK{$7$}cCax3@|FGZP(b@+V4i?NjnwsIeGO$Hx^pG)vz*bbBaH~Pdm zUtSTput8lqJ@zY0*;*fb!nEJY(@Aw9_{X@GuKI&S>A4A+oT7Xj%r9KWKK+d$I(Z-X zEv1+ChNbev|A`SlVQyh2IZ1KoWn(7foOgTRt80mqvLyDdxGs&X)Sm<+aiz%EfxY!s z=#^sE{h^*+B%>f@n#bog`sfn4(rdZqmQ)}{&9Jhf{Ofd&D?2srcr$y$fU2g!9m6T;pBzI}~cKb3gor1uh^A z4Rn@sP=?VXUB;kH!9^`dWw(I?bvXTbk0ewE1<#K*|O9&TjXP`SxB6ROfGVC*9c zk%MMz>9BUf>#2Pn`!Qe{V$k=xBN)Xsske=30n0~6?uyd==~Q2mYb^YhY)74ixljBz zQQ#>dh`Vw@mhz}9!suU&#ZR#}mhVd$=%+!>5{Fq7^5 z7x3$CLwHEjY>C%wdw$KJ8wt&h`@rXrvjNRx^#injqn@Mgg?=ha<@uiDl|-1jC)Gac zDBPa9;KNAHty-+|I112T$HIsszBA}Qx?5@xG0n&g{ZQhMpAkl5fDPyx@1(h}Y9WL+ zzCkrCM-p1WN_YP)MeqA#u%BSxsvT+nb;oe+0pDb){bcoG=^p$=4@+ke%MG)fuNcAw zgWV?yzuT_AK6iJD4DL0(5$Gzp_Ca0B5Ze+y?ixcCxiE5PQ}vzU{A)8Dg8%pc z<@#34H5d4u{@MRUahs`{&?J@7xLfCu6WkuF_v~Xy!Cx zds_c5q z!|MpYrPS*#bkTh6B75N$ea3VBfb)MBoJIdA_#vHY;{dLT{@gmK!3gbFU@)foUBe9G zTCA>>BFTXMT^D@@FJZeK-7%Toa6a@u^w{u&iu|W-{p{`w@!axj_p{YF@x$0BBrAV) zxEEEp+jK^qDM^Hs!RrUdt(4!4J`4VP{05(|^m63o7@TW5g1lp24wSbZCilND7yNbK ze#%0h3okc%%{?|dt4fbYcl^2en^Cl$){dAbyYXg%>hYi96RpcdJoyIW?8;3k-j5-_ z&$*#*+`QV>11P6YyjY^81o+u+crD zbrMyCOtHoqK7ZIpmLrFP^wG7%voZh2XXADHgJd0*Zh~p-&ALJTb_ZE03jM%>NsJgq{hY~NQDu3jURNeDc^-zur{D#V*@usu$ z&~O=*M#4R-489X{eowe*pUA&)1h>x4(T^huFu1YT+L~x1>vP{18k#q+Ikk5|7FW(+GNq5UUW8>Hjm81Fu7bt?<4q#fHi=Tsf=#O@uA4wbg}uL%z#{Y&93$JcEQYG6Vc6?(?4FuYTD_ z4g`4s7ZBttk@GxSCrLSvy&b80M*uIE#waKFG5q!XzM+qgF}+RUA8XDRg#CWHFSkpi zHC)IHKmRA#DE*MHl-{lUVC7ltNfh7DdY=^K_V)@e_WvS}j2Z=tyWku_HpukGevAXu z;A;Lk9N?1unPd_Gf3D^Tz8TfFHDbn4WxMMk$iXhvx4N_>0-kF%C@ z??n6bk~NAQ#|uX^XD67Va7x*Shc zo*?#Pl267SU3w0XM;6@^?+eR-aW#W9=M2B4 zdLw+td|$@*j^jDE>-*@O48NstfYFb@%Fnj1Tjri)kc2o?FQ@ zTDTMU4B)d93)kS>Vb1)j2=PCx3ChxQ_*^l!0{TAlsQy7-O#GXp&8lB7hd&wq-d{2A zhw?rZob4NRW>2Yw?`Hw}7@h=L(RhyIyWw78@$qq0=r3~K4b3$;51kuorT{i-p9)bf z`NqNOd#GulJqPe73m5Kk74fH4nTxy^*ZOpBC;d2!b|k1zY+~_Ea;U!eQmcNf}eu(G;@mQ7iT}o zoz=(O!+E5&@LMw9;drP?IS()L4cMHscevUTQ{udPW~k2ud>G*fulLuyG4d~>e|)qd zw)c;LzfQj2^Bi?=a|Sv)W239aDo<|m4TEEAEx$>i3JkWq=O^Fs>d1>Rcd>3@7=fOA zX=W4TkvW(BsJOopdZqL|4NoDCmH&ZWZ|R}GVCei|6)t=8xc$gia{u;4@SC{*^l_$g zY#UuMI~}*2HV;)u+ek_wHy@ z;m4;9i*#7UBAwn%$Kj{$DELDgGS)-Du^|I3X{_0!aG==|yp_ z*k3rWYo??T<0`|^m&91jYv>o_^<{0`cVx}|cO)@x^n@4uvcQnfjx97~Pkhi$xqyw( z*Nb>`QWqbcFHQ#O{?*Hcxc>7VcuG?1HXVIlJl~FVCg5TcW51^9TwsO1Hd!p+GjN*q z8=VUd2J>#PPiDRLZmRl3%Dqk^*bS?10Dnw+TcKB;WdGBzW~v0E%#H)#-oqdLuM7Av z%@N44^HNS|yCn7D`N7Z6gHA?*+;g5`Zcd)Yo26WXIbS7afxpTCGxUoMXJ4)Zo-giW z>5D#b&R;{XoWq5keX5dNuW=uP4FBjh?ql4eSmGM`9{Ar6{e}C@H+H#g2!9p%A^H6z z`-)HDWF7RLqqqA@2XJlB)|TZSC^?0Y4EQZU<7#s@l(1Y&OSp#~SLTsDj@BG@B7F2% zm%bZlmVVJz;EnTfJ!qjx@5SZs7}9$_1$-FxW2R(~^g4sXCimAD=m!R7u6zwg)ejq& z)&9b?B-)1c^sA?i#K+`y%UJc<_KDR#r)AfTrTCm%Hc!y!-DVKMy*_40mqdDT3&8|a z7-32Zy%XT1xi!lW;y=FQ--*P>?=19-iBB#roZ?t8v>=i^81zcvr$XPCbH046a`nsL z_bp(y%SJEM!W6=vT!R;QW#PA+32;n}{xpEWKNa5?a*s%NRsK(>GQ{!U^(8ZDx8;)B zZjYN%jYJgpx`!#(;oBh;$aBY;Jma$oA8hFRvKKq;PK=$XTx~Q-F2*0682DD!dw38| zpS{Pt5@^M?_V15?Z^?ajvFq`jhl_IcfFSW>_P6P-z6B#*_tr*~@>A!VC^)JvDunMF z^SP+JraesfQx!NBFjjmqG(F{!@mi>nQW+i{F=cWYe#>UnV^m|ERNuKfRf&~j|{DJqG z>uhTwkIa3b$cu*lzJOlY5<#7pHM0qn`H`+Wz)$Am|4jnD;hf&= zNX_Nmy=|bz{iQF|xbl~v9W{HW5ib@?^s``Md)Bmz=u<+C>{R6UMVH0>k@?t-|3H3!#P2I# zVScD4z+&)|`2quu6ZZ?gIhIMU8e5!bJ^Zr4IsE>nEV{$o8q6=^^P1;PNL{0#qR0^6 z(_-*=n1h&;4Oz>mWB z=PG%|KbW4DbO(Qv7k|Hn(9rn^dW;#Y^C<3Pp1@u%+R;t(YFn#F59Ni4I9Fjen-bVg z{n$sqac3cX4fIMDXyH#5KSReT?O!eJOK7D#edHN9Ovr=WT5FC1r8eWvM?R~3-QY3u4)n?^ocFr!C%^YWM~librb7a6?XdgTaS9~eCQ2~TH zH8cw4Y7fSxFx|T~a3{7y`u~+m{2I1in@XKghxB^|55g3FZ(9ZME}(}*AMz$p6K{EW zrV(rr88dBy=nZq|ce{z-uKmL}0v-B7(4Ubst@I1~Qw>aHA%&)e#+vUyvWmBpzJmsD zP1+~;u|M5qBa=Bu`PfxmME8CGE(Z5uR?0>X1K%T^oT)a?KlhMRV;y9niH8-Mb7c9@GEdV>fZ_Nv`^t!0uAAw`0Ww&9Co?gHEtO*fHkne`|=2J zsg9L>)vxdm<`>v2h9HkDeDd;vGB1|xl10DrLDoN1xLh^Yfyaa6CoL+PdLwV$sJfr{ znkK$9Q8(EBgYmuQeR_T%I3!bfaedo3$pfLgE&a^(j^Ag{8q`rO9p_2%`%3bs%3PFM z%8@vRboXBy;?G?9h$PiN*Ey2Zb)1B641CkwjbcUDN*I@G@ayU_@MY6hx^#y zGmv~+i}{6%)2{zNPstN_)ix`N^XTBih~Bl=n?(Nqr^x7yI7Ou}SN%PmuqM7<2OJxt zd&=icrSGRh$1wHHZwnxPZS9xj8GhA}^vOrQ683@@VeXW{*r#w_cFWXUM;F_o>n~ANL)`Q4QG=DIAH~txS}Q>vh)7 zLW9>4-J_Y1+1fK2-x`s9U6`odGViQiz}$88obsFmpbEBhf|dLih*r^aUez879IdU1U_ z{ymJ#T5~;w_HjYYuE7NQc)QxZ7L+;*&8QXKbpKjX^-8Zx&|ml>_)9zC6vSNtZ=3^U zHj&!L+Z_GgY-k(|z9rAG9=>``mj*u>_gYKzQ;tErFT7!(^vYDhcVRhhRUO8MO77|i z=6zt%PZX_;rdx{v)al_z%a&!DdgH%auEnFmrI-2EWbl=wSnjsLJixF3_4Ds`N6$3- zeYSe)^SRew`AC>w*tT)4EBcXv0~@j&d;|8a**B5?vhnCC7GKcNSj~A)M81+2yFVuA z_pZ_)>7%XEJW=0|q%bn3*nS`F>O_26mqoskF*VJvB&rW?1p1K&{8aFL0Q$r@P;|$j zYDiD_fFFfzmoCYc6ut`s$FmsGP48?B{ z%hB`G%EQ8l-%MA~)%IZiD{e zKiQA}K9W{&!DkHa$?q88UugLAMQER$^7fmVi8)B42BJ@V$l?$>8$?W988FC&Za=7Z zph|1xE0>0EjmRzLDHS>^X9qd`s&hw?U*{AGn119mA4Yqu2nO4zskpzm{@^Jtf3;n|i%zLM?CojWBJ`{0W8 zO7vIqe&Z4L$I^FxFIRf0@65qD#q|wV!!%zGK7tR%ldwPw^+!0nsV>o~s_?%&?6Qez z5Ub9%Q%>E71Zu#*loaHJICoZf%V_P>!eK4^$qTvzY`V}_^t03G5$CmS58VGsvEi{F zxbygsb-`YvBd>)|g$nod(=8MAV1wAd(KH4&!^vrWWQ~~St)bY1b8ZuSm;wYoa`s>^ zEe7B_M$O|1z5f_%D?We+@$liXP6>{I@bsVh>v>bjk=*#hG_Wi&Hm}8%B-In5o9Ld| zAy#`kXU3{7Kk>T3X@Rj_67;=y9VFbBmu`v5E1DBVqOHV>E2=R8g4(5ICKOdEm zqUTk7xSs#WSIW7B{8;74mzY#6RWJE2mRtu2_%%yBc1%GTJj>oLg$Zhq;X0ikL zv{+yDzwbtKOX3#^KO@&CZ||b|ehlsh@|_%c-{6?>@%MJJf1V0`U;GJkkbkkj4d*TT z#n9KaG1*1?AjaBLQ{a#fmd)1wDK{6%6V{DRm!1^IMD$I6;0LV0;JS@Tl%e{NOQh^I zJ1);6?q#af3i(R*!{p$-M?Cgr>3Go}reoe`E{j)ww&vl3k|~FC5&h6#$#%)8B+d23 zS`l;i+FYe?_Fdb94=>kOlVtPf0ue}rwIcPunVfqZ2KgI0D|rR!a0 zn7z7Zt3R+rd+9GOhx>{2GoOOaD*W_YhWvN$j1o@T@twXT{+O0HUl25{L1to%`Emb1 zLg;sDKK%SE`2u}6lnQv>x@@Aw+@p0jnnICoo*LpOywh$i&4O9}1m1W~fw#rkG3bBc z{YF8)@s|11KFGhocTv$kgKD9^$LAMM(E-P%`0E^*>!AC~vSq11b1kPO5!>w6J#tjv z*rgct;dG1D{n6q)qbY2_TT5W>k~P8FF~rzv_sY#kxW&*@eSrmQ zxB>oTS)5-pHnEZPR2Wre0Svr8oQ}0xo=H{C=G$VW>~4)Y6R*;?L?)9>PwNXaWz>uaJX`0;w~zi&u?)?7Pc3``2{W1x1uTwKS8 zZZU6tK@c6uM^jW~oG(0=TG`VifOud1i9Rh3Qjc;bjxX2!kVg1A`v=ubq2>anyJtwQ z`A_g*d0e}Ree%ie%L;t6)L(uCdL;*LQZVncFL6Vh`fc&OWjjOZY09^}RW(_48T9c9 zhWFt}62HsU653AyUx(}&zBeoHaaW#kl0S$Yk(b7Jy?0iK^nleIj6QMnc}*%~A)JEG zd%9^ZV^J0Q1?yLb4QAqFWB2NI!V6k|DM5Yv_u%6JHYVu(EkpXCnnzJB7HVtxDi7ib z{9jm;PsY4o7p;>sEdpsHFKF9kY42wHP-3q7_N690Z@`BUy}PO(ZAabm;fE%@j|~K` zVJDgDp--IO78lI>U0KMfX{)(X+YJ3K!k^68RNFB0&$HeP{e^qQRI_asm6#pRq^X=Ne9{xL|gYL9>8+XnQqG=Yb4M<)h9;et`X#d708TQYrG1 zF&y@YzL@v_=mbO1ZR`>8+21f9`!T#eeM`PE+A+|oC-P#Dofh@BR<85mF`7@aZzekA zm9Al`haL(ber+n2%QajW5OEUzfLph>6H-?v{wkSH zc=_6HZkVF}`}_if*R}&sr_;`E3o5jF7@<9{cwcyn-THKr_P~tx(C2+K^nKgGJ?axLkXQ!qW&FtEIMIQ2%XbXS4wywFjhdak$tmJb~ za0s~9U`L4R_2Gk+|J%rd&{o*5+{144BNxx^twKLnI-k?1b#TgR>oQ3J|_63GVmv}aTwgtcWmtK)`SGd|1O67+2|A(E8n$cz0jA$1+d^< zT-$<0TBAXPTVDGEH4;_73I(5^i=t~dDTgl?JXq!rL*M6GkH*-KNe&YGJlR+6G*nlA z5vKEBwx#CmkHrvwo=$zqq&;}9=Ip#=aBrzAazVn~`x2=7(_h|{zz4;lV&276SK?k+ zhfUVXC9j^T{DwZwROi6_BDz)MA;o%9uI66Bb7DW%FRR?u*Z3lp>=00hwjZs20PY!Q zgD7}?!fQhQWegWO2c=O2*5S$UC(mR+Pl22Cu{W+9PhwNqi~9xVY2Dz@;C#jX0)zYG zSG2Vw&z_639wLt+_|BR>%5|L*q`9EhE+jq*#zW=GM--_SRm&Et@ohitnAO{oq zYc?^4IUD)PD|jq-eDtK*z{p*z2)^aTu6ZxoSP`~Na|Z{555xOr1AB1J*R9Vpq*n;O z8s;oLd=x_SnA3M*u;jubds@hxb-j+8@*`}k(vJbHKZN0a2|MSl?f2Ue=&aZ4yhq8Kcx6x> z;B>w}{FQM=EpKz=Eye1S6tmUSL&?`Bhu_BiC`7>b} zepEILVD6QDtotC{r?*KY+5b%lBh=x*Sm{LdIWPr(GS5@Xt|b!Z7v-^ zjUjxR1+El_d{%$UGQ>5+_JcFYn|np#n`urN`-r};r+JSw4N)H{__mCBXj(R0^AZK% z!{8nhTyZo#LS5g=0qElcr|Ty(#~}&(B5j zt>V?+R3(adZFmEH7U@#-S7?Y2VyB(>=X0>H8G6prN` zy!Uw!*G)IV`NzJW*~`%bjy>weeenJA&$C;y=9e0IsV@e3vF$Z0zZ*E(O8Q9un~T0z z#QHwrT;dw!ns4$9d9G&Q{Nv}N)G+NYXa$}<>np=8G$-bY&j=31Ypm_4+8qd>|sbh zIx34Sd=XJBlQ#^O)z|tU-@}DDX@lgu73Psh&#FBeAH5Dfuty))zD#h^o@5*NlUX--nJ79% zCH#K5pXVw1D`l^ad7piPTUueBVPo`AOWnt`h!vjxqwljM*Vl336@$;gNaXkV{#p+A zpFe;-dS=<5*ygdq;f=v*{6Q(M6wGq%E^FoL*=Ex6OWz$k-@lo1pu@vdXZ>-A`eKLX z8Ay5lG2;=qoN;&qkw=F8C}|1y$r%VVxt+&ena{bJ9-0HJQ{3lp!CUfQ^WDJ#gKg>e z8bO4#nd94oZqjG)9{P*uKLJrP2Q4{nqAFq#FEqHf=L6<_{`pStiM$qS;-~%LBi~J{ zH$j>=4|CBzVdOB`Zl2OFTla!zT!?FJ4B4mQ_dE{UrJu(| zN>91lCiLU-1JX5_?zaSaybyg!Yz!|SPhvYcjrj!w@8Vm?ivgduB`jHbU(OBi5>9*n z=p_36&Vg?hC0bGQ@d?WVFz*W|HVM5F_ZT>zYkbSE(=X`9n78_xUxH9eZx7ZUP=pXUCczwmZ^ z8um@XQAjlr=-2Z+o8%i|>?gOkr6J7QeVa~KU(O$UW}2tw4|{`m!T0@34#hkk8~O#; zs<#)Dw7;TH6TN?-w}@$YPshX(KE22c#MWGdv?!RVLe z`+vQEGF7)ceA(cB;qYwapYDLzd^%8mzpZ9^Qy(ctdSd`%758^LSK5-h*SH;NO=D1C z)8)e$eNIE0(H4v+PvM7=d#Uvh?X4=xHKeBFVwm=tk9H@2>}S{9O_lp#k87#KZJ^&) z^pNjo0rY+8)7#}upu?P+-3|LOE+m9MS^Qc@-6Yph6aHlB89Wv#eSGuCq`7>$Z@?`A z2dASgG(alUXr)W6Qk%YADnoTvCl@LMux_`WkimFRr8W;#9c z^7l#Zouc>WQUwO%Po2H@vsp8Jh}EX}c=Nm4xt^9$d@&1*4V!GH1?-mm?!OKQ89MR<bXJv%MH6}fnJK!hW z&m0+CyD&t0ygm#WEc10|==+khJJU`2HNM$eMdq6?kHPcDxH9>5JM9I0f?gdKaL`jL z_p7eA47M#gyG0Qn@0|wwYEIk&=OFwl_ph3W@$@aLV%|q>m$?(Zt6YrNB~*N=lYcj9 zjx!^g)^HI^V?Rpg1q8TM!j(t~7kw`OXA_AZ%Ja6tal(IE6!-CA-k-(s@n50uv#uTP zPn9^}RoYQ=Nu|n)&in79B<1bIHlfu94wSbs+6#w$viQSxzcv4WUBYPz&pmSuVl2iw`1!>b zkN(OoY!v<@hEAeCVa=z^Vm|O?gKHlw=VWO=_(SlD*}%2Tn+^fnJLdNyLwahWTr~#~ zYE6eF zzHu`z{O1-LH~AjpV<#NYguhM1Ti2)>KAKY*6{I~#*pCS(*T!D>I}<*d_4`>8djNoM zuQyCrentTL*|}JwWPu^`@RxM;<$oJVD|s&&3ZFYLuA{Cd5!aziHhWNWHX8jIC-?us z*pJB`ZBn-SE9{eL5P!Iklj60<;a4N+FJOcpRj{I2TqxQ-LAcW=oY99Y3qj0(kP}Dx z6z6;oh0sy%EruWFJaZ49fv1F;fWJO;qbU+-tU~M;bhFG>{+m^Mf~uKY`f-BZuSP`D zDKTE(F}Qys2YtD+XCLh=bF2^YmBVJu+}h%eiO@Rr@UQRj-GnXe$L?9wnTu_`LM8v- zaD$0jrg!Z#aaOeQBHBaW=RB<)dI1aTJ$xDok8H9GY zV-I(FDo6eoe-huHgQMyZmC8~b^vL$X_hkfg>yI~~BWv5#^gVWPl0CWK-@(N3zcI)o|J7@@*G2HgrB4`s1mPB6 zHfS|}VBt@`g)uk@{gu*pgmbMe><0a+;rqzzmdeT+9dET<@@lq&|nPz&x7n}7JyC7tdW0V@N;(`^_O6uEL=oq z7aEJ2#Zm3yA8Xk$$fhYcsOL9ym&Qp1$QT}7E7g^= zF~6|!ZJ3!p_hq3k&)}Zwm088_&$|#3&IR(w5iD$HTj;sj!A*JrH~&yoa=BaG!A0T^ zpi_J4Gp+VbB4xASkNh^ad)V~dGM0s-@N0fCf9$HS^qjnColTKAptE|L$ztZ1kIucp zg9WgwN>rBgT;wedC8WYyoI7ih9Hv)6H05F4y)@2G`Mm?o%JJD3PSp|AoP%5$Q-bc5 zzH6{7m4!TV3|tt8hGr1|=N*PGNc=rH{v>^x2F@4c92Q}I;XaU(MzZdKF~7*Zu6Hco zI)0D*JGPj2nq#08{jXrUXxlLH=N`Er{r&bx_Yu|V4GwJ7B<=fvq+Kj{=hYn<`liJ_uj5A3XY7-{@8u!7PC54k^()otPh6we2!8%ys3W}U z9i%;R<+>BsdDrY3uYI1-D;bacW*_(r{O^BIXvFiP;-a0*wS%Ca?PLzcEbNn+vvLi6 ze0-4$MDC4y)2G>szoSb~w(5g7T?q9wW%ta(`NDRSgDJ#MSKgIEqbUP&$7blyV^Snp zA+Poy_K7aQYYb_L`9-(^;KQ(=`M)^ojnCHx=pYaNDYJUqschlJ=ldj6bM}}2F?l3uwQ1GO(^K(^>9 z_V5|YzCJck`K{Bl#P2fsW~gwEm!>9icSt zXXE8!aN8Kjg`B_H((gD|JDb5%VjyA}FOqwH`2Z>njMm0Jj@lzSv8?)XBd~vGqss86 zIu~cfO24k_H*vZz9Rr>r_J(0u3Bs+Ovtf|tg@?fJ0{q0Q9bweV8Yg9p6M_2oU%hG} z#B##;qC{$Mhsh1Ri~qQ{5c5`vZS{w{wPPNf)VGS#w}Zy!s?c@V?A&#|=Q z9#;)702~g?MW6U#6jnY8q{a-8K7qU#de`9i`?!4$&V=Wwv^7S%l3NIkW zHdB6A-!MYk?S}C~hLF^gOuufda|A)~E&lhwsg9oSPM}l&@&Nl}>Cd^Is`r;F9`pz{ zzyHCB>Kz3_tju ze`sbeKG(0f#|Q^L&xdMrAf!w%;Wb=SJ=29S7H)X+z+QU*;D;1G^H1Ot>^`#h){S&x zY{QXPDf<0fRcP>f)0>4PlNAGsyLd_dBffW%@akXnwW3zw?5~>)-UoUEXT%l1=WFr|&cQf>Zz*fh zTOrhj7kJkP>wK})f_R-cw5S^~j&I`ID&&jfJjVw61@;ryZcpEGz!!cP(UIpxYQFGG zzR{W&U$Iei3o&Z9Y+wC-+h?oJgSk)of*J;D&JpuIb1#E^LzUlvJ#k6a8Nui0UbHoB z{fKJ?KYTF}+a(%I3>QvsCGf|PwnEk79pmI;B-m=(>YQW^za?s~2QBf`dE6iVv3Lj< z9~|gK^nY7xBmctdjh^2nQ#08ATApa4Inr-qiDQPHj>Q)LJ#q~mJAc4^OwP^dLB#eP zn;#P?l>w)5Vam+~50+nt@2>^Zon?(KuHK0G1)SbaKc(n*3Hl4;Tpp}5)ISBkWhjHn zCs^uz967Z`$FQlb432^L;4d2|dC&#F;oOrg^YaS8=jVXR2HjItw|iqOOu^(G4Jz{}$kGuA5eoU3UasmEl z8ehz+!w-W!;{xo*l24tBvpVA~Ijdw3@RT^vSSyGoL{Dz@?L{|YJHf0^=<8+!8SWR1 zJ+#FndxUw3M+=Qu0WH}HcjFv-hoq;iA^4V@V@L>6o_Q%3-IIN9Pqo2;KacwuAUUgN zVsFMc+O-3ae__36YKrC!5(;D=(y&8@&b@=dy<=X~=q$R;3zw%!ste5Y(EG;WIN_zA z2m|jCG2qU#vo-IG9%U2z!{2#|kHIKe>>v9H{gwQk9F`!x9dG>M$LHd#4ta*;kl;_| zJV4)*A=x_{TSllPry^+^>_07D)JnR`7v92hF#lJI13Q}C1{RoQ>1ci zpWQN~H#0qo4r0xz_rtxNv1isQ5(B<9(66 z@xo~3({}Zv$#7Nes|2nlUoaM+?-hW)T=C@gKmu0KKo<*Qa5`ZCPvX4J6^LR8EoS<`#OzJ5~tUmi!}fR`>cO zMYh2C!b0I)4}v}IQE@;jNj-pFpzf{VABzQ;DXT^txpDyXYlLvvmyO3BhV|qt@bk0I z1wTK>u9`#NXFFs_8tpFIdpsDxaYD^fM8qJ>++cwQPJxeu!hgpDqj) zU&v?p$3PW4HqI`a{y1^a@01ZBeukZanZ(CQJ@kvk@IZ1DJW(#JKNh9F{~&K_I^ad} z?;X%Hjn~fnJ$PPN_(CoTu^Mbv?@5o1tsn9)tbd~KmHTsd{_ReT(U0HfC-1ER1MIX% z&)<@cr338ZlSId7A;8eho}?ckFoqa&|KKxp80IBqhlE;_`+p7li?sE5n*T{N+ZJ_EAuRTaGc!Nuf;eBC<-{qqFiV_RyA3MD% zL-`GNFz>_e-+nCgm#0H6_dYtD5~XM%*O0s{`ozVz53YsGq0Li>?W!x|Q?$pfvm3EJ z<`Vpt`LK6&g3u{ z(~g^T0{MOJ4Xl-|=g?SBD!7fp=KX={^YTDHGWQH-*ebU@0sdir|CBhZuWn14%t?zc zCDWREtS~(=L}!_pPAl!PXg}GR3uutR#OB3|Cq7TI5teg7NU!gCMd+Qd1-;MF9 z*#Q$t|1Nm{mH5Tgc98B*yCte$a%x$<2XBg}2nIc14iLWag&gAyj?HZ3@#WmEAEJJ! z_UNyKY(EF{3)^1WdAn*}BFI|L$B8E5uY>tCNAbz*Ymy)w&X0|d4`Y44`&~o&qtIU| zeEpi3Ul1^^>xsR0^SYbA!cQPN>c{{JLZRR^>^06XEDs%w$s zc4lFCuMcrdEXOxN@2h`=k#L{T|HAd3|60Kx!Tj}q5{TnXWfPOBxZuU+yWpk$g_>`N zYNYdPd-(aeaN&`;_G`l5S)PI826)+=7pZ#P0A6kOF7T6u=UG2cdk)|eJ~j`_TVJrXJg%BJnyf_<4r(8+>20mE^X1%?eZBae04w(TNj7IR<0mHi3U8x+eBu zm+(5-)gwjt*iAR3PzBJ-R}FSk|MKusj!C=0#B$-NWvRq*sw=|+^?OpUr}*vX4~!!| zjk{(>iqEt^=1<`XB^Mc}8606|g`RNuOX|R{#SFk!K zUhd_+;76`1!2LY&-??IM@PrHLJB5(bz{EcGBB@#yC2l+Sfz0qKOc?F}oyPcHn7MPQL1asBBn2RjmOmz$-|r$dso z=ei;IcDx835~IGW;uy*4bg6XP;C*Zd?1`j@<`*Ao#K!102?W}5N9RoFj-02l?m+$c z9#(|;1^MN^2f_2>KKWkBg!)9^X9L11nYop_4a(>94*o6SIbfeGe1Id!sc~%~_Q}=6 zpmg2HnYMCiGZXS09ALf@K#lp&UFe}YZCMi@)L9n+95kmUnp+rasiY$XBxe0&|NW;?u{#A>*}WY;|x|I1gPnp5Dv> z01J6!>8ZuMFPsVRV5M&a^Zrke(PLhNpIi>OJ~VAiZWz*Fa~@8LzQbzT!v|JqCvT>>g*)b8jz8lXJM)Y2+j1;(&Z5 z^tvqgo}}k;T7=}6D$GWH2-mZ%UlX-Qce9(!OJ{Dz%04D&4ES}}tEDVA5#yN+`2Mfe zK(M9++%4w#|2LXm58w0C{RL&^o>Rv+Ui>|a!@>DO9(NRYLEI}g&NZ7p^WN!Du=Y_P zUn%^>#mI~C{Vt~mUFACUTQ$fD*Ndbk*!OYqwTC11=7J>i1S-b?&*c%ihf2#gc+Gfh zWF%qz5;}S9P?E0!<{m2)L*IRrMWZ-xW*0!P7kvC1^S)qm+(Jc1_COw)pPM}JV1@7A z1$i-CkB*vWYffuHII*p++7ynR9>HaN-q#v^0E#q6h7YvD~x6LqtO!1+Nw~cxfwM>vX zYesUI<}s>w(A?*}AY#n84dxfA^+CP~)Y!&PFuw@j5Sij({OA><5(+~S!BavirRMXJ0Og6G|3%gT@Fz=;MS_dYkH}XBqwjgKPX?92 zugh+mgYwimV}4;i=BnYM!!MqjYe;V8V;FIrjmOD>l4o69CPn)7{6CB(j!pdwy^_z} zC_FEfxj+JYIpHZFkIXXQ$?pOQ*oQ@nuE3wn+^!F?#F*t?pWu7M`o}C2TsQ%mK;P%y zwFNfHvG^Z!HQrk~dD2AGR((o^-;({+bujNUFJ-tbar|q9uZb9EHejbS8FgpY`h8Lw zF;3Ng5B6j73wdC0-CU7(ON{>?yJCpQxoPUS8gMI$30|@qny+bhXGcKqf_G6rXYJlfO z_F~{Eu}?RxC;XNN-o;j`hUfYh6cn!vCrmNteRm*-If*Ci0)zRP*Lx$6jCP(gjngI9 zHfz5-+404DqMvezf3njaAGsiGYt^c$GL`c+F9%?=2&Rh2mlH z+5`EkkDQ;ce@YN8)%6MB!LnZ0u!GLskHI@Z|MMZ7FO2g~>YYrSYqEr1DS3@6hVnY` zedRbws|)6OUx%-NeUsN)WNN-4|Ej_A#5wq(gii>*C4M`@`rh=QU-<89USb@8o#^W} z7v+Imw;-ewcjd3lppYx0lYZLop!{sRFya()nF{{e)7du1K)R*&NccUg^NrO4J;?a) z^=|;bB?`@*2c!_6)+bxJ(F+uEjD}wM1#!sTB_6Uj^NdN=dD$_LZu8>sm8){#8^vk= zpGBnT7N4i1AB^?YwMB;ZgWAY*;Rk;?AjAVM4Di%BdTOBZYuY)BPyMxrEdjc0{X^vc z`FWki|GZ&I8ohalVvXa-iy>Fn4fip|b$h};#`^Jwxe+v&3mvden7^`?E-k?oYR|Gx=)7Ax%U8s z)G0Xz@58T6&erGFHiRzo8tjv=_7%)F6K>m=zOKZ4%IT5T>UYJxO1KBHj`UwQ5Z~X# zlN7EDh}7Ko?Yo8r3vTGIypOfv;jcr*7yWxblk_*1LC)?92k*TCgmX119?uKo7Z-;L z&$h;8`1Toe0lm_Vi#{^ErC&AB4fjX}5MB-!ou@7KlQN$d6&PH<*?Mes5?_ILy84eE zl=>|%`$^xDUmy6BWxr`jqk$Vbj{Y6tR!p*2e(aPO&FNQ<)gBe(PbCkN7EiuxEZ^m$ z`muY0_F%(rDZCT(y-GjqmmuXR-AN#G#ummW>l_vluAJUVMA9RL{z%c`kCUyJbcbQfdd9QC2q7OhH!rmxJb`hoMlDgI%gl` z0XX-+`?Z5|6+VWFZ)<0`KYij_rByc#zHNN$0v;@XaPaL*-&DsGItsw@$;m0i9QS^` z-IT}U5wE?g=$&EAQ`s4*+No_tvk=hGrw4C-#fd|_h7laVZE5C3*555oF^Lu|2`oh>Z&?SUA z9Dsr_+E2NRZ_U(KILcN1l*_D%WwKtU;mZfNENi`^p0JW|DTnIwL%mVxSrHU`u8ya(7`BK;?A_LlnjyHu2W zcI|I6iF+?=S8YX%nZ0;5RQsPs`|EkuFV_$|0Q8{0*xv^qvh;8@Nl|_SrI0ssK(HTU zyUn=%$jLDe&>H>7s8`$-pGs&0-ge0)kjgMf?x`!itb>aJ^2ng~&Dy^zQu8O3!LyeF zyCOq+2>flex34$$uxxz1>q)N2pOpKGpKBt7oK(#FXpNlr#a8+ail8S-pZ9hbx^=Fg z+1T3Y#PvLX)E`4$SWoY8C^W`$Q1o3orSmW9KlEq-=Y2gtQ~OdwlW6rY6qS~7mmY<9 z>o{WG)~Cza%K86{`KW)77FE(q`^n=5QBJGes=nEYB)yV$<@DYHU9sdQipQ_PkHUR1 z$8wGC5cbZV$fnt05K;m|)K78OkEW+gc1?CO*Peo8SLGAku~xpv13dr8sYM=hBy0y_ zvya8=e0eESdIM@Uxo6ZG@~`WoJCW3wi^5uZQE%9YBYjN5H9gb|JOk#M!>2V>4fD8}b|6qq7q}XUKweXBHUJ0}lU~?3XLy zdEp|T4em6FjkPg;ngc?Q82;8{Qhr2!pTF0b_w~MMuY3J2xQ`9Rh4@~K^n!0`m1`j8 z)TAr?{M?p2J=;gPZ^ht`iJlmNUJ7d{8Sk8E67SPa21#CV&-w&Ht;3OC{gSB~10KLr z61{hwp}*hUFyTLUnPE=zvFu9l&%*Fy27fR!S*~fy|&Y3hbLw}Bq4#e@-cPXK?3^vqPmxs$e)wOJ{fh~S=5crnB zH7%})`Q6;5>jAlySDP(ZiBnHXpCbSiRTQ$eiVmQ3Nm{e^`gU&;RFp~&w)Lcz>< za3T@&K8nwaRoN-`6SW6nzMGs|lXu1vAVL8VzS)vLT8F+@?(MU0l%(9#$L`w8{BktS zmO|RH>R-fuP<+ zP2&ceNHBxl9aYx~25+3fVV|MzV*S(h4*FLabRQY1df=9!>U(Z%QXU=j{iY0>9!?xM*7hQtgXsm-WPw2gC*TWej_OayaQnE&(yT1 zMl8@d#;ET8G=@^xcm7w7fi-sh+4%V$?ZV<mvKbwg)VTaWAJgWax7_-$C~k5uwT> zDI88%i-Q!CV~F1Z&kK(~|N9$yCD#~y87uqzB=}+yzJW6oei$zfwAYHK9~@6seSgA( zZag19B%n9AMm*2jl=71=yAsD!&D9)NpJ6Vr%oXU%peQx5@%KQN?c zVm{il z4qQjpWqyA(y0o{ntmKq_g1+CC7Y0elH%f3Fd{FRdTaARznHQk%gY|v5##i@z$!6-? z2TuuGieECm)}S-|>kK#P`>U6u_)P4uKN8<-)ktD&)$OBqjBBv5#Nc_E&3oJ1J+Y^dM;3qWL3j1dkN2Y&jKRbFa*uT~lBXiuh8v4ZLIOrEnpsIl=Y)JE{*Not z+k!6-f9KbR*Nlp6;NAt^cy86(wlxFkE%Wif0b_e`?{+0d4<2+ezqI26`Gf^=d~F)? z03mFv{L?}2)8pXxZh?hI2Y=$U=(LqL4e8;l8BT3Du<)&$a#w4osE@x_3U%W`-`4P9 z;sP+e9r$CczrFDgZuYe>@cKB<)E09(gOLAqrR#POmeKbr{H=EpqI=%Qyw81N{reOd zlE<5CLxR13iMf)63J4@fm^(nS;Uz`35_E%7g>OOat9NtuLE%Nl*N_tLDeca~D4^n;1*irc;iwrszh8GjmG& z#+rxF3GDNl)%4T6>@M(=!T;DX81E6jZ;rJVy|w)=lkf}XB|B=5ZFH%wl@du$>;Ta0 zf7d8r9b!eK&QZ2rgjUFB-yk<9wT=D3Uj}FDsc!&T0_2z#n@OU-Eew_Ybgy$bw^5(| zcYYLYW}p{%O6}QL-w*%ZfD0*Y{=)nM4rvI^ceD_#wHj7nh@UOIy7p;Kdp*%4i>~@>3ZQDcWsl%Q+756OmPkqjFQy#}Z zvBdxRUzgw>_1b&6#YL0)@1bk@VJt{>8Kn1wp5Q4l-ps0;&YOS6%RctRUho9aON7mX zu^QL=Yg^AGYA`ammE?*X7`I zgfLL(ok8=tSlS|7avjaLniJ!ei_CDofG1HM=ZkxrOZQA&!B6J<=%P&BU%d{{JsNb7 zSMhvdDlvrD@8_a^qZA9`dfRUB!-&6WnS=T)28QbQ>+x{)9V34(T)lt8h~t;O=LhQZ zgnO7^La&Tf-Xi!goCBGFTxlo|vfygU{-4B1Ll}@8k3-i|(oY&4Q)D#(ft_6LC?}-Mz~VmE{-Nc|_J|ao)7&?cmO5cE z*FBUTq5i=VbBXY?QlgY^Z|6$|@vh6`We#v8`$o9)4uv;68Y;;?p5Z>0|GmRN61~x~2MNkQbBpCU_T|x9f5}&w%Rj=OpMa zGB?fhk-hYtTG)@V&%?9yd?|3!pXYdx`W6-^(5;yWA~+>WuT`D4;p#hHVCehi3iLu? zf6rx`YmYnlFrrI0&ZHm2_%tq_q+GO4bt#i;cz{9EM&g-;QDFse0~PCOm?6xTqN2yRQszw4_ANThnt44l_xDxZ zga`crdE`W3jfU*@koV2;pHrzlf3Yo)Blg2Vc-&QZmPJouiPe^ImmEJt>uoIfn)ksKO80zwRi#ewhPpg_~JvEcRDC2qrp<&vIL4 z8u1#s*0^MvAqI;=<3~0o!pE@{6#jVRU--VXBNh8azKO6yaVxy4L~T{a}*)N7cJo>Tkll-xcfOAS07xKj;*yTyi`I za$kv!qD=1FMqkn(T(C3>uoXYLkVVDw^+Z`10^`TCNk_wh~c z^amFwd-`dj?w<=k?UP`!6H^e5b6k?6Q-aGH7Y{V>g|eHlnRme$9-FZYIT zQp7Q9%eROx-4jCo&puQ~W$z~|*!Hjb{8FR@R!7$M)wkVNRn zqe5{7DKdEblNn1L`=w|CV%7+EXNaF&S}k2I@4_?8@BYK5M1UT`C?|J#>d z-_#m%&yYUX-jRCl{BNkt4YBYiGw1g!&g&6e;M^gAyb>}42K2!mkQZ*y_oLxw?YR!z z7Y>{+j3T^MelG6eO-Kb;FR;bE5uetcjqs1b(Awuj7J)ij3LWfJXK=QZ{@!sLl4uKRh3^iqC$xXtw(b?9KK&!`k#XK9DbEnz zQZjx%EK{cX(>L%8KR zF4`l~z9Oanv*^d;;4umJV;%H;_Mx^2rCtnNN%be;gm~o`j150rK3x0on&RHYM!|ZR zTX+E;ltOIdThZQ4c|aZFX%6agcj3=v?oklwCA8=D1Pj0MmQy1bM zg>B#GSL;o>r*563x*77w%q{3xFH!mamCBL$Q#OJJyM5+>VbCXq&(kW$;PtHIZ}6D_ zf8D-g2p!?CNf$p7ztB@N+Fc*ylW6!Jus-rzW39abxhBO8r8pAT0go}_>2DtR_ToIj zr?Iy8J>xgF*-nWh;fy(YNsejfP!s(L3W8fG^h!2xga#;gA`ZSn{ynY^6%OY&IJbox zjlQI>Sl2Ha=PiD}%R`{Eu3S1|Xl^+1G`|L<#gED z&b{ye$Lc9+&KsBW5RhY{Frn8`sXx<-nJS8K!b4YPweItabNzSteR7X*x~p=19#|{)-*$rXhgLc290om4dOhnz5o5^x z?%y-yUV0=_bktu`y{HrHXZvt3Wsc$&JfA@}xKKc<9ztodVZnMxu*c^d&o!p zUQHSz@56k9;bDXn`TPzgPW0qofZ`qo5z;DcSFK4Pwk17oldL{F%r9)CPgrVb55&bV zeIG9~r>5NVjb3K1$=u&6Q}@GNuNmA=^>+aMuP&Y#%rDZL@@a>r7 zxsA?rJ)rhPE9Ce2^BgfRS^B!-P8Ayb)C4A^(>MG*-WNfgv49>4{e^jW+2AROe;<0~ z(G|5@4LburC_YDT>}7$aemmL(KNt5fStThi9z3NcERfw8t#jh3vch35k9)YhC$XPm zSH=3exyC-^_`Bl2(*@VD?U#{1hklT@(3fhi-~=mpu&8&f2_CHU&q9A;Tu{#>6Xn1r zU~4!kXRA_a4$Ur7=g<4-ujHW150R7Gz?g6E_^d^AtnAc2N+A*m1ij2wslpA!XfFg!m|Ov+h}Vun}9q5cmBcg!zR zOZK7ISafjyEGzK&;}{S<3;GM^k^au0ST0BkbkO@=ZU}Mw_i2L9&|d9 z*bdxyCj34;rXPm>f<5!W?&y1kt-f%ANqpuZmdNifu2^R|xF~Y}zKtGu$g4Hal~p|u zx*O}9OMgX=pBQ)0UkN=qHw^w123QpbD^K)*FTG>Gu%{XEn(LdI=q=zqXdP?GpZzh( zqIv@1#jZ$&tNoV^omrD)X02e<30qQn?@=h>*P@34qky?DZC2!!}vAT2>UU( z3MLJ~^YSeRyRpyV9PZHBS-Mvm8>RdX@W*ViR{Rfn7s<6Czdwb4AIL3p?7vUr0>g(v zdR1{B8#LCrYqfN`-UNZnBe;+8JP&<;27W!QTiccDla>S<&K0vQ$lwV$d7^(!m%iZpobeu7PtFIZt$=j5v`(AuM z+rt)i_nAkj&!of{!XLy@mr@%MgnDrhH`!nIQ+)@Q^0VN_ zk+nbcO1T%?r0DywH+*E==iS_m1_I;k*fO4Wpf)}m{ABS_c2Ctk^pAnmgaaXuT#4=Z z#r1IC!Me2Pl?d&T1rK(t2$4mGaKn>qgi}8X?@7>h*B5s3q}!~!Mu0!Y7}46!bZRfa z;e%|2H+_7+iKI5}Ed2bqP<@}2Mr?0-vN&1i5!XUP_D@UG^qfE&By5f1K;?#jb@J6iS%Rc*=QXb?mZ=GK$TlvoDuVh|x z&f_fFmYjhRu|W69t*R5pviy3bQv)_y6uV3A!C{XdJq0!*4SX2!A*Naq$47s;lcc;N zcYB?O;j5RP+8Z&-6?uBgU^{%lD)d3Iv8bi5-gA2=5U=mQn;S+LYAav-v4i#vd_uq2 zpr*f7I-fwBe}|I>^NaW``-W2rUkE=L)SZhXE5Tnqx=Z?Bcg&?{-N`eCxI78%RIm0{mA3VzB^fj6c*5R4-Mf!+^`|Wfz3c3Lofmh zJn1_=D7Oca9WSbSItvFWf2*zZR(CE2AAX$pkMbH25Ae zrZ`>oV(ghX&o~zQ5yl2q#B(6|-BWJL7XUw5e2$s8SK;ye;kZfXL`V3?`2N&lka94= z9|KMC`g8Mgx?j8&Fa0txH?pbh^VJ|;=NbIk>VoIT2H2vQt|7`Bp6OTW(=?}zz_104 zaV6n=>_9&<9@u4-Cg{(<*irXO&Exf+R5MC)v4ywp82{#kOi!5}sk!)IFWnbn56$zz z89bjs?4ROkNWN8*zmXeYk%riU$sXOZ|7 zeV^?A8*5LeIB2^$TJ@s;VhAm?c%|Jk7*ja=Ks?RlI%$9Ou7O*8D>y-U|NFy;-ws22 zbx?m#4e&y^SLi_kSuuz&HCg9m=#?%U7_uc=58LK2`*5Ahu^;0;64x;?!Y`^dGLya{ z{!viuj{`M z^}h!AmvV@54aUcAx`1<$efH&{=fThMJ9rmtduvoKg+_5+^m{kuhT!))aR&s2+a9zG z^b>E#R1(=9&o8gfo1b?j;I88WKgQ}j5FJTKfm`>epG~%mq5QeX5Pu)ImAr4A?VL@F zn`i=_(g8MxJr7h}0vs68Oa5m|J_xFL8%@&T5`vjaX2PVHPw*me=_J?QW8=YifVMRL;6JCVASLt7Xe~hp7HRAoW#}Ix? z&UX(oEQxDc`z=q>Jl4&Y%1=j6G3(Wd*RbD3dqFhx@a3si3zmAtQw#%s@_cAB17qM% z77krNnC504I>}yq#)TjPtY*jTWyr_io>~+6O7=6I!u%q6uip)-V$pSH=8Z5~6~u`T zbIHekd><{`@K(5wNzb0kRfByl#h72@xPBa<&&6frE4i?%M~M+9hG7?Cew5jv;+72ha;sgPRQ9h-oxW@w`lR0Z^@43f+ROGpCjt zalN}4ey`IQzjM}u7}qtVb*lQ5!B3XG)>T)+cItIwGn_B@daeZzmUFiDle0>DfQk%9 zxT(9%wvj#;Q(hJ!P1!fDttb7;FQkOP()YQu^eip#haU$0RByIn-^&K~tmjpE#?$cZ){)^_YB?34N0j{6Dc z*I&&Be*)L>;Z>5fC*_ViwE$M)P2Onbshlq>d%~^Y&ar>PZcDcEr!M6f*b25Ng5Of^ z_x}dddzR<__SHV7{btI=YV4|9ht}5O`>TeZNA}S%j_QZ5jh?^p^SVu&1pOtBH?aAJ z>^(8>zj%d%=JQbDSTDiz!u<+ATV-pW$2mZI$)LXof4om9F@z@>dgZsg;9d|#mpJC= z!r4OfIP|J%LS-uM~d%X?Kd{;5_n`agT;3WMY01 z-%BM+$sz7s0>34L-{H3u{yKC+>6I*qAzst|J3P<$7BB3EZR1rJ!MxAdlxN@*zGNM3 zL>Tec!TpsJ{lojYOF^o0uSy`PYX^T!xM$$;^R}o9{K>+9&cXYg^Aqs%uV>>Ydd&G= z@)PuzXOh4tuv;au*Q0OCC1jVtJ{BlZ?dIfSE*gUYFE&#B2@dy+ zwQUeks1!+Z?fb?{b2F|cl3w4I*b8&NVAlY;gwLxZ{4l}`hd;SHic>wnMHXM)@8}o9 z+O7`zUYjB2G7vpaITNu7U5EY`=yT?~alWkLU{Jo%k3pY5R;SUh=MSZHofq%A6CZCQ zHe-HaAF7{SDZkKCb7edBm{bTl^F7zKX56{8CN8CaQvrL z%+%l41qXevbO6I zd>c&Ns{PS}IEEA2FI9OCKL--m(B68F9^e%-&i>+neGhcCSr9$$V>F_N54Gw<2D=c+_8`i zK1^8_db?x)3R(8s=Vo+{eOc2=`;ul^OFl6G_rD5!LAvg!x&r)Eq9<>Tq|Ny1^qhIu zn9Csc_K|dralk{pWd5iD-`O|di?2iX}m|cV6rium*K@WYcTI490vqFqcA+cyI?a8uz)iz`m6Q@9$FdzSa}G zK3)vNw=5i@pRiA5a1DBy`CIf;+f?H5xEk`&jDNDvb5*^*7qG4o=4~$aT<@u$-<3eR&V_6vbPu-l5PX^Fi#bqXg76OKm~|4L)|MN% zk74dvXFY~GNTGG1!FyHP^XUYedgEr$F(gOxC-SA(<5X#j9whb$=ekKQZt{y*;@;LD zW@QuCTJAy~nb+)n`a^#~T}p+Y2kFn#AyM^!^l}6?PFuf%c-6n2;68Nb8?4xJWnXgW zFt{tyI}xJ&Z}a_>JN}QE>K}7msS*#EPoeKakBE3{qAqNd`s66O|DB%_R8K`el5ZN5 zmI@5k7pY#Pa$mc85!&5mh7L2yxpfTrO3?|z0)+GZM>zI?tMCN=8Y;TsUhb5k3X#3f}R8E9oqrDl3!%L ze)JJ_zQ5GK`NBTA&X&Zf)@bDSx#g<>ei-hl*n#^PuOI3hj3J~$A^hYTkn^t;W3MVb zSO7kNx4GJuMF4@UxJ-Ww`Qw&*d15A-FgY&pB)_1uq5? z)Cu$L&@1J=Q!-Y6F3dH|f$3Hzp8DkUJCe7?Lvp!OY*V#I(kxK>yN`jV1VN)8_D_u0 z`gkjXI9@$yL{_POS7b=ub(RhBEnqJ8IKmBX=t<4EHa!&kWXMpKWu3_(ffF>g!g2Lk zW1^P4AZ_ZReU#wy^Lp{w_GIx9K65WL1~RXpdpg0DbvXYJIK;q<%*@JEZUXu%%{g$C z>Lz;H;YG-Q;v(VifS%SRry9JPU{d|5Y!Y$pNY!KR)EPLKqWz;wedJ{|*MhkfZ7hW+ zz!w(|eUlu6=Z?RSJFCaOxVyo^m1sD|m)h|I8DvI?F~Je$N>!3h?(OlR2CeFWg1a=_ ztAL+5veuEfmLvu|CF%Vrf$t5r-I($DhUDsxMi76k*4!LQ_}1K=)7nIbVYl84K9%I} zen9^Vj=S67qP*fgm31gF=JP=odJdVp9Ti3WSH7uzu(mgGEa(RI$HO@IloC$B;+SfH z+at$I{5@mA_nc6%BDUQ=MIKqW4?EpeZyD~VIzRaQ;zx-_UJRJ7hl`W+K7jq0^ocx- z*1YpY@Ga4kbD~wA!LoD{*La=p*Z2@{a?f+&x0L;|e;Bd*zFd)$_zD6}1QGDcQ!Xw_ zAg+J5L|>9{&#@2N)dicLY3NI0K=-LId4H_EY_9p!3wU0DJtT~?tE$aek?uZ0~fs(;$NwT^96Y9|CKGhXaDXY`IBxosl>Il zSrr16uYTH9{ba@9N21=c*8T|b2b~JZQZ6g}W1>sO+6aH=?!_$CN9$of<^_XTKp^c&_E`3vM3a=(v3uOJ7RFz+WlMDTW&ul6O5Gb5G@7Ik%{D6Bm%b+sn6 zn=Sr={eo2roZZ_TX$CGV?<^BEU)wBF^S;sfhWtL@gFAJ}y5qKIL&+7uZZNe7Q)$gd z6~G->wcGJM^hzGX8$dVUuTk6YL#Y{r);^{z?L8eArG9~i-t;Z@ovT0KpQCrXJ@#Xq zN9;5wizNSOUSNn%umSpCm^%u7vdmql-1YsM=trmTU)c7@4SY-Cu~||XVCzoqO_Cmv zw;S!%CtN*-K#A=>5_#m@SH(c!RSQ@#iHvDt`Quh{HEjAz{iy;AgO@W-SFxd8Vd`mi3bkF!&__MYrAROc-U)BNR4bCO_S)fnPh->Ba3X|wK-cGY-j zRblzTeef&u-l}TpKKZ!^{l?$(_9X^m{9Zpoe%}gj3h-gpLLhlxE|c!SR=ViA1Nm}c z`I}J9L#O!@wSUR-`qk-d?Z>T_Ysi0Z0rdUL0Nm6MQBHDI zKh^!#n<-y3+f{w_3$29*Y4yNFQs;NyQQrGDFXQPea5RT*MM{55)sy#(W1UfyYa6M0 zYd0?n175&Bz(m|9bR+cBb{HB!M+VJrIKUk_5AJQkKACfqjn`z+a0Yf7Pywx#s1KyKrgF?en7z zxE|IBv{P<7c(BLDRH*tTH%ar;_v|&7;~GQfvG#g``Ng6lzp-x{d|iwFrS#{!;3NIz z2YV(E()+&;S`a3^D8IMvK-;<3{!I{p0yVq)UkQZiu3x24===A={hS8FUkSQM=cfjl z#>3bGe=zsewuax5AFJ=sI|Dk;u{W4sD$B*@iox|Y(Z@0W_rc8<^S*FZ8xE!b3)~oe zN{prGcb)&(h3>v|vwrMRQTUKG9Wv<*#;pHdIY^H0>da8lqn;M}6Jr*m!X~ zjB2n@)6eNMUH2|i)xRJ$K6=T$NUTa7{C7#PoU=xF2}o_lIVYUUk7|QNVz?A5^1#z z=H-ZM(_JpdOaIZF=h@1Izj4!uz=7kn4Sg2qfjxwIKb(0H$X7Cdx?vl0;pw+o;HtLS zGB(=J(R_k(+$v#@ih9u2@I7-c?Q@?f)z`xDyZ}esGANRmJ69>)i=1&@d#8ZIiHm5* zZ1kWrKP4eR^*`uzy#DOF6#FsQZa!_y5+1?X=TWNr260~TyszT?e(h@*P)$;{*pc#1zp%DOV7+GKYGLWh^BS~H=F&e087H#vqIYZB=u|c zv!}{zqc4djc5VI$KEKpNzREGA7k3c)(-IV$@ zk_irkwN;hDEknt}h-opXxxe~UeR2#=Kjfl!jMrOE`2&e%%A4T8%AV%rSe>Ju4WtkF zzV&<>r*nC_hv=HkN>T{lt{L@S1Q63GgIBmpUMcHxEQu{0-`jT=el<&k|4;XP;EnUW zWR(p?U@_)!3;Rs=72=dS(L%SKZ*0m+pku1%fTEuQ9bAL%mW^`$U1$6$RY9DC^vY>YY( zOpAMh#N+L&x=5xOr83{~T@TIM*RYm1g zKZ`l+IQM44Z~5iWhF+(e;9kn#hd;7p@0(L0Kzhrc!S^Jb)LS9iBNm#a9F@*d+B5jX zOZL9!4rLKz%?$7&+3))%FiZ5oZzkV0HgL`C4l80FrRjc}_%WT)UnxGw@BN7J%Fn@1 zmcEI0mcq||Ix|T*BE9XYPCxwS9z=`(?8Moa|G#hNYxZ{o<7pMk%2R!aaa-rAClK4# z6Z@ctlH*!8oTwY98!Pt(X+OiH1m(y$Bx}yLPPlTC!wl82w}dITKMDS1-jf}OmR#o% zy+Iz&63KxBx@+9Ek7CJa_0=6JEBf+Z@BuJAV_P`e#%n!Bo>=W`9|-}(%_hp!#2<~Rx`e1v1X<~Tzm)wgx&t|7kJ z!x7}qh7<5%{IUM|)WRe^WxH^XdSDK6RYmjwF;Ce7Ia1z3!%xe8o4Ud1Jx1>HX|E`f z=inbN;b6bQzbCmiw{Xd+zQl9IGR&w^_YAJ#`gye#`Lu}Xx&K)jo$fTh^JwIeg$Lfu zk6JL$+{sRJ!!IkzKK#^*B$6J)5PRhk7DrQ0tlwHe-xs-Z4|siCgM;Tq_%ic-i0vx_ z>Le(SZfKb1GVeL559M?a^?(n#&D;dyZS-cxWIcz#v&3zzV`93YJns|WfP;tk-(l$c z`2CsgM$>2%rlxkr=K%j~ql~M@AUr17YcrKEfc(DXTTXk>WabWbEA@{Rx~Si%X+_Do zuL9pv_Sv%?s1FzRfKSEPE}wD!#JKWb!jXUBFDP%b;L|iDdI<} z2!8VJq}vn1{)?mjY=GbBAv~DN6;gFCS}Bl9K-uYj27Z3V(|(F2+@>!U;dzn0t}A?f z+*g3-Mdv#k^(Vj=SZ)i53vUL~TeMKx;9iHVaNZ>=XA-+fM_am^y1(fCVUzk(dbx-% zs%b_VeZ=`3kMl)()O!{h@_rkYPQqyfABMS!6DFg-khyEvk2U87%UCz1}3;g^RRln5mdzVP#3L`GJJm9W+{oc{ax!+w@`^iSdQv)v0g8v0FCn74jGB-KL zWfR-~mOcum@o>#P*yc+mOZlQ_MmaUHNe*^ZPR|Hy(Ip>VF^RtZ{T@duk3nEM@*$$D zoI?M)EM zZW#Du!o9ESEu5&i;Ejv^H9lPCtuc!+SIYks7{Y^wUKz=YQ1Fym@&S!}rRajA;U8l# zS&SXA3-Hii;EzGKXmu({`D|P5_5Il(M!%O|(T|5(L!0Ay2FJz%Mj~H{_h|eMAK~J? z#r~XW4(F1>bgr(_LHTar^V_0mq4sX7`y)YV!@u>#< zmclKo8$+!S%h@|9ldQ#Xb1m*9K@56m3%KFZkl{oFJ~{Mffb zQ}o_$2R{tBY_8Vv%GbJtTxWK_pI+BZ)jd3TH8TI*bEP5tG1ZKtBL0h=jUdM7U7wjn zgBWypqR5aOH}c4gXBmoIQ#$hy;ZNp!&HA`NVi{f zG{^I|9!nG7+JjHY+G{$l&|u$9)cSN9iC&ZM;lmk+`*+iInbPz5uCR@3H^l0Q|||RMeaVJ`6ZFOZQrfpFG%Ng6iT=9Hmd^ z1pMw1d||eV(!Sa~ca{qVD~OojNAm7?l)l%Y@Baf_+~n5T#IcA&>%)a3Rqb$=`V2o67z@9JpxL6j@YNP{OV^&C zm+r(e^4#@)l$kZnrriiT?ZY{5Ni1h>K9{6=&Nh3QTkp1uA%5NOh2OFOV|w*p^9;1K zPTY(=JnwfaZ}QQ6Nb>~YC2k506CP(*@GXn+x;%3`h@>_Ked5Cy_|rL=IYo(4wy0Q8qx+}9a%)!=!zUUnw!Ylau)8T5WIU}TC1 zHQ*rgf5nFANx?3ZQiMfXs)f!&3p13r65*ga=})2BLs8yeIcA}`hV(`D4I|c-MxPl- zYhi3Tdf*6UFF~JbR?GU zp?+c+{2Z6D4vjmJrT*)sMTT(h_Sw*J(BGW#zLP(9j3-^^Ld2DU)QJO8q0Yo{p&`H7 zO0M(HClfUa2MO_zi{{g=rxCw?)|VNh=QVm{g_E3-PUjHAFM9@kd{_W>M;@8|_D>2E z^*uP(O??_WV)b+DoUJ)(%oF7~(2L#+nOA;yCzkK;Ef}qQx?jsGKNkK5<{O?_0-jMu zYrJ}M4bG3}bc7F$|NYg$%290VtG}m3W+c3A^jC@>?0F3;jD0lp4RVsgS;=%HV6$da z1*fVu>pHE$8)t)6M81*1#@AWkrgPAI;ZWj!z9zNxb2vCJOZ#PR`0Kq8oCfJ7{VhcD z@8-R-==j$mJA-Y|k6cnY>Et0V?c-PqpEz`r(5C1YW}us6mcE}_!#@V!u+JnbV%hKD zpJ{sE%R*lga)(D=_$sfWl^t1Q+%bsTm z8PZ$Z0DctV&Q38`U2j1&<+$G{H@gY)`f|`;HTFaP=!bb5AUdfBOtHp+J z0N9_*d(DFuavsi`ouT)u5f1AAj1Q#?sEZm<$6x);hjQip_@HZ;_Q8OsBpfgFyauhj z`E$&kvBa3uN!SA$|G@&kzLpw7>5mGk2E$yn7(TcTgi z76kVyS;}J=P-Jiqwz0*WVC_Zv5#KNFudQdMdxUbX+F$ym23fPM6?-n>B$yoOdtigh zWyPyL-#xOlxA3kZeEpdb%4J+JRD9(_Ynlk-h0_+~BDwxJDaW7i)ArhRJVWobi$drp z2!L4z{H^>VtQAF%+X0w<&`Wx(hO9!)jCnK2zc)rO*|r0C7h*)sH~7c@VV#w5W3T+3 zMpF?Vj-TkRJ)p(D>PyD+0{f87An5x%7B`!cr1{VO_5}OMwg$*o?ll2)z9pu#CoRtq z&XEKBFslK~OZTB4QK*+zIe{eKhkg~bBUZM+e$1Z*GR*soOSLy8NX~X~^JL{*Sz|xJ z0hYngU)WH$HcaNUVYAJNv1E?x!BgUM6T0nH^l6>>kfMB0ZScv_Y z_&TN(8}qpM6YpQS7Zh8N#QK+K=zejEgZh5Tm-cPg_$yDpZjQlg?=LQ4bhipfOy+LN zAH=*boRE)Wwbus!oaM)iTX7`Zk})3AL(vcCi|pB72Ix7x&Q<5d`#4`XuWcVeoa5;D zO%@Hoab?i}eoOv+EwYy1@4OjVnz!3Kn2I5{mf(5e`k?hC9n~jV4*EXU7SA@Ai2De? zLmw3AQ19FATfCz2Jsdh_!L)mc>Mxz{PF%xUVZvzL)66ML)$DgJi^2IK{7Uf0 z_&VNqQ;xy98iC6s{OqN{be}P(-F&s5qm3D%4bZZRJ-E_rM0r<(${+@^;@8qW*Iq}R zvp&OT1e)Oi@W#0AuUpN0!yJ7^2iD?!gI2p&xkE)KJ!KD$O_@ql@7)KVii09$1Ee2t z(tcaA@p(Fs6)m5vk0pCfET@^i0cK$-}e&VB+UDR1e=xj+~N@{z}eoTUXS*@WTum6~jd`4kSI^y~7CV%KhEQBQpl(!mu2J zV_pM1(YuNGoF95!Io5j&y1wMTdZZ9>KBXQw7(Cy+kE1>;5JTVhVng+l6k=SiCHgca zzjn@*T!E=wTRBem#A70a59Hk=i)WT-np}6>xw>&r79|5K-RRR``jrDF2wtV-#`B(>fU0KoAzpNj+MN9EcAV@kDm;^ow@#r6_TV^_0Umw;ctvN zGFp0u&iz|f^y<90czGYZKY$)T0dC|Pr~K!%+lam~xK=)|L4N=6?6E~w+kLgy9oi@N5Je9zQQ*u;7u zFV+~KwKm9C^7&{FKMV%C*EX4Skp1{oLTRGUwL`)1A3ghhRMzinz#rqBhOM`98Eo-> zU}M*~(!SL3Sp*yiB>sCwA$%QE3#_OhG9mb5{dE1jz%h{VIowZkEraYde|N-^hV$O; zT9R@EsyYzU`O^JkBo~qYCWhGN@ZwUgAvzLbqLu8r50Z zR}J?6*kC^J#tVU82D(i->K#= zdx*v0^E0+Adq9}Z+g5Ibp?u={&tr*Y|D{inO{@3x>Qk}%kMtpuv^RhG_hJNJV3)_^P z7ZRxYWoKudGbbRA3|eWv74l--Ki#>L>dzI^iSaNkD~+N0eDBFGGz3q52z(fO6vCH{ z6rRRl+)A>>?aqU~7r}`wv;rx=EHTsc-llIJA@|NeG zkJdfI*RqraaK)nKxL3em7kd};z2x8WjDt(ocMM6)rZ!xt^fZ_T?%p)(wS}MXy(~AF zDSye^mAHOj*BooAgCM}P91~6F+(mUK;vZ{BuLP>g!QBy&Tq~wRtRP?*dqAcY@ctlBWUfu;S(ZTj?!+VQ? zWF5l^Y59%&9KcKD{e8Q9LwX-VaUaV*xa;kKG}&teOu+fV#d=SC2~?;S`R`jO7uUv; z*w!)5ltkG`g$x^FPyfSSXYku-+4ogNexLaWpGJcR!ae86O>tggVX6;tjo#llPbC-M zF-$m{Hm98E0I*^m*9MU@FX$5z^qjRsKPl^=)uHdRu+Y)ay!MvH4<00$unAn+mqXw`vpeRWkQ_ zxe(%d-zQHWav+bZ#LN9?JLVVhubAZ+ zy!AU%4;(zs52pl^3t!mp_~`x54tz_Db?XXxPy!b)Uamn*udN5YM|g?YC$m1gwqAnr zMd26w`W%A)_B)2$hwyVqK5*Gk<#0lO!CT^a^JU;sb1wIYzw(hWr*hmZ(i9>b;FCXP zDc|(_D2n0x=O!=8Vc#))GO`Z_uN%|Wr)V4SEwA;$6*%9J9?hoEE7|z*Dvj(rW7BOa z_47Xi-z^ce6&TlEan9=f|u%Jbe7q}-Ua7zJLCjDY?>qD+83v9qv)u_f%}0V$M>Qi*kqh zSWv5jD0&)+eq`{AV{#lw`s?6tlRZuRaFWL*A=ltqjGWh@lG}gsd?0cC_S6a~B)uuO zu_u!Y=s*HB@>}auaoRH*=^=cAZ!RI<&&Eoeck;TO=So{p+|dDgB~u3))QeE=(5vy} zD+{+mV+;qi(yY~=gnf;iLu&`?yz?$V`>yjk5{~U3x4p0-t{aX8&tCj@lU+#oZ+oDp zvHx#rGNr)I99+53V6O3~y6MDtthdu6B)4}ZG?Or%_j7k}a-d-TEiUyYMou=BKs@)GvdP%cEQsnjpxDEHE*y%UrZ zg!7o?r*|HA4e67Jj8Og`^!@i|Q*ZR?0-qcIy-sEk*10YBJ@wao!)hEA{QJdtI_|$^V-Wg?t0IA z>#N**J3G2|9LiURO3E7#LB6gVHY)J*vX8A=271z-0f0Rkd(m4_H5Wsl;M4I2jDxSYee2FG~*+m4>+*Z`s>IY;C}TNaFQ?{ zjn2MnunvATV*`d;cgsV^wBJWb=l=G!#& zZ5(YaoVB^&O^M&PZwzsJzrIqT!FbdV$3$AlI5ylMMLn|VA}suQ1MsoaI4IO+i%Y(j5v*AFp> z?}EYn6d&y0WKVrQgjo0aY>%(xMBQKV#*lsCQg_`iR<{)$nHB2Vf|2+MBicybq#3z0 z!tVp0|NrWfS$;PQeN9wfBpD^a9|Boho;icw!+t-1R|ato;J0q@^<#Z#X`Q5f`wd^( z1^n8xN|~zL3=O3X&9E4~=^^^1i5(MFr{5@A=EZ{>=h0O5xos*||L#=>;bGrBmPbor zzX@pXM;IG5cy1u4gAHWXZiIM&gCl2F*Zfx30^+vg_`n|YiETpnOp%xbQ2{3C?0hOTx2%>Zh)SY`Ops&i09hNEzHVmkHx$ixkvH# zX*8D&4bUgcJm!50v8<`zR4aK76El*C%j0^-&155n*2@OJuDfHvQ{o)Z?O~MvE5M|G z3={wIn28p|s;my3JXGI1!GW?MtMo)a7RbPWoUT*}W655hkazMD!EP&Jbe|V<%aA!+ zvlu!Dnc2DD1Bj2~qCNTa=OrwT*O`?M85p9z3@79zA*N^bpa{|Zp2vPza=iM)>7Kev zpm4G}1e$5J6CA;T(8ohS_D@zGeJck=kue!D6}PL|3+MB@KGNgu?Q&XFPB@UHua++R$-K4NA%-s(yZHTq)P+iXnaOheWy!n@imn$V&n^ zu|E8yl6QPDQu)U%Tvg|eeqZ9%%*h0L@wG!%>B<4C5vAujczvQTxf)69cyS$PseNE_ z9P#>U0``?`KaH$%-k50BC~)8R==a$WxjID8D<5CYm3{Eq5Z|~z?ia{La{_D#x8J=7 z>vL7-{j{~};hHi+vfazO@AClCfxeS2jcQ_Mji* zJ@PEnV{4P4C^!4kL(T`hkwF~aJPPU$WMO;H zz-764TaW7UzyIki_WL}yJnE;^X#tYSlQx!tqrHEb5sz`19?+wmEgC*yb$_YzJ*8K8^(KO*n z$+PM2iZtiFOAHO=aDo3Lg06Ma*5+f-HwG*Fvg}M zhQT+YKB0{hEy=~Azob09dJaHZ+fw~-tJXSy8yv4W9aF#qj_3JY(=92$14A`LO@52}UqDavjo?1OZ=2kwvuNjit`Ye)ICj8~~V9C?yHzk8G z%-Qb^T|aYQhr&mO?SESPW8hc-Z~1DzulN$%LT|~s*#gXgpLd0_W}OG^L)`8x@GV(2 z{JtXkZtN*4{5OF-IRNZ^vB7+klzimSR|Am@duq<3ub1ja?-9>@7yXO$i|Ai^a_-#; z_%Pwm{yelmbql?^Q+){H)?=Q`F>J}(z(e@VLG{Ik%=dk=mAkbgTJ&5u#+$@{y~z>x z3+E=rdJ)H3M6FJsHN6nLQi%N>${`#0u-G^B?o6uAf3e@^I^n?16y>FNv!YrID8ZbE zaVY&(noBv|g~k%#yBqa4tAC&%Om(ndf;5-=<`;vp_CHrd&Iga7tQ}+y8Fe;abVpmO zb|s0qKz}QKR_7Sy{`D;~UL%I|f0;3KFdPBcuZ9X|)_n(b)O?QCGt(2E7gqp(4E>hP z@mym0+uD2Kl6z4-CXZ~9N;&gNtmbT94UoL?W>3IXhP|Soew5~#H^|f6kTdXCvd<~H ziq54hz*AzudXBf&bC$t6x9JSNCGXp7V_(U7di!)@e&R3gt<^UMzZlmYaeKi71Ag`B zg3AW43(qvc-U@M>$4&58Vy!vQHd#0(58;2QQ}tcIzwf&eV>KGz86|o5d1I1^#|Yg% zAm5#zyGl{YE8ApH5ufW%B1!lLYc16WG9`|puLg|_?}~bi?~9rj49>L;-)17tvzl2L zqIs&BzNNa1H^yK#Nq$Lf^*vp1UIm?huexuNtyG z#QSocZP_)vXv(LEcj1dN2$ZMt!5O7`OYmVh@1XzPL^^@?<;H$r$*0|KpQ#)d5IpDbr*i3_r@&EslSp=i#fRT{#`@-O#{Gb;057^ zXxYzOK|l1@w5hbKekm6_!;8+t^>cqG_|BLkym*NBB?~~pp3o=r00H~T$y`8zyTv*d z*V8E^9I#9)T7d&-Si2bH!jy*7BOZ{ItZunh-^&WSi) z@CNcLPa?m%I`;1+I}i|40DskxCvERpWAENq~o;eukhmE=w>8HaNcGWi=t;K2wu z^{T<#yuUDCX0Cn6*)R&M3nC!)mHxcQ&b1)8Wp)*(cxYbBZw_?$^XAO3xIE1TY<$}QgfG6;`6}}F zBeJsTYIg`7FL8oW6<-m zkpg)gqNfCZjAN9a^iEdJ@nP&YP=7_nx~h)6RhV)%4kasJ(KB8Bro*F@%U78+PvGk) z_0wR#FC2|~agy^DG!XM+xd$#7oJ+iYy-E0YPf?HY7(5zvk?h-le`8$5R^trnqHEuftvU8JV+gTf@p%_blnSH7<}`4`ImqL#m+)t&!~ZE`FZg_g3j(F_k8=$@C}y)q_ufq$h<)Xmd-Ij|*1Rh{ z;<^R?D6wn9zu%k#kLwf}&Dg+d2Hz4fv91;Y`h9_0#<^{u-{XA%PNYSh5JEiCq`SCZ z4PI)KE4}9^VyzZf~-#B1Ny=$avMR^^hE z`#nBLbUE`YB`dEd5zifez808|u}>fM7=}WQ4KmTsLC|x$V!HNg&?oc0e)g}1&Z%x; zUx_%|@l!2{<@c+{$4OoLsFR6K05|z?;00q7f`skRzp_l+b!iCUm%M*A+?V!no@T)t zL-g`v-8J`Zv<>mo`S?ICy<@q^efVEkUE7%<-j`#6S1xS!C64=bMLlNXM!$Ec@*s|SsE-JG7|`nH zf8Qfo^8~D+xBQJan)j986yiYKR{gjvj|3Y!%};V6$D)6cpYK68dYp}e>PdC#hX3QA z>IJHME#F=F`}?zq%NExQ>DuQw-7}y{KGPk!CE~9_o<%6ex5uWMR1av4{7POdn!IG( z?F2qQ=LMI=bBFYuxD7%1bmY*3;%lE$=~oswpbp{mk~8~K)c4!ciXsu?7Tf@Q7(5Vz zwxC~Op;fx(S(L&4h0Cw&5n;52v2N&JBnPE|1@TnS@p&IA#{o~!CpQ50w(GfkTEx2l zdR--N-58flKeJ%<8|3B4K%~gPGG1Qjpt4?o_!Az2`vDr!z7xzMsF(+oO%$Hc@)K~-($2Od;YNm>?Ii{e#5k5Tj`*3*x)pN`E zCIZUGDVQg7?i2P{!egJ}O}CI!H=|rIIrD(Gh7-NR9_YBW9SvcB@3l0N@xB5S-B?{kBQV|&|ILB1F;0$o!hX(r+yV(Pgn*RpsNNgG{| zOx6qrshqCdgSJs5do1{0j&URLIFddh=Jfg~OZ7qiFHUlDP8ufVfX%;PbYj8HBJh)u zk2`2f2ywj1Yxo>{u%L6@8$*;&QS2`CPhciw)8xoD zKyyXiDCbClRij#t#P30N!vgiA)$dM>A&xzgMVwwWJnJqE8yk_y$=1#U)3btqnP!f4Pa`v6yP=%@Zt(EVv!<#yDK>Z6nrH&SwH6}@W$jpFETIXG zrb%e$+k40BeD8U@a)>uwGsJfS?t}RG76cKmv716~$v&P&(6xwOrN67rdB2PzeCvU< z5_~d@=f^iqr=$EgpdSbvgl*SS<(SE4&I2P5x5q9^9LVBexVBn=Lrr3 zA7)V(e1K;{s3gBxeXpIqbi4si4oi%XK#&VIyVD>EYPBURba7#JCX!qa)MLWa*c+*O z#F`^DH@4C>qY?+OI7U&I1|WqRUc_tN6{|AnFy~xB?;^aFp5Tx1!oNxq)n%P%89%MR zkdMrMZ)5+ecqnB*;08%ITmMOe4= zo-qb-OM7Q!OPkAde5S^q#+m z5s#%lt{Nu#i1Kk3%8BXkp?i~w4ze$u-lBjYinS>2i@6YV<&T%aAI1ETli|zr zVa0=hzoEZm0LhF1^&vdYm(Q#D3bX2NM~9GLnq1){jewCPBSQ2;hj!#?9vkWu;j0G( z3J)tP*-Rh1At}!ce=i1hkKx1oEWzNn**^E9GxV0Pn3tcCO|bK#g!NYLBzQ{VM{en) z`>}jGvi;{v-AD)QM|d$YytUR_=6GTZ+Rru#ns@p0HG|jB6Ni=N82%MR*y4Trv`4b~ zkf3V`;(yvY*$b#Mr<*oY~;nF$d?94IzHG zzu)0p_0b+~tsIF}k;HP&j=M&v9{~A_nCAX_pAA#`gwipraZ$Xj+)z=T0kwye#6Q*REATg&hdSIW9H0fie)an~*lRH$ zsb(Bi^1SLqNX=SscWd6Ek}qj8b(`~k?5S1YSe>0OrQUZ;9fw+t8r zj}9Zyi(0KZ*h)Er_si2p4x(S0rhQ7H3-Q|QBJ`FYK>L3?9rYMwe9faT8?29UL(bM$ zTxg^Osek2l5{Z8R`Z1|T;IEXNfm5SY4~}^<)LnN2o~EfDvu2d|3p3{%^lILOkpITay=-&L}Nc2OkP=7fLot-`Oyup6#Vc^ekEZOKELg?l;7;}3063f{8c)l^V zGOxCkJKdU=5cFb{4Pjg58kdnv4|)ET(^`Ej>5=pkFQ~p7L6F&kxOUaRl)HY1|02oD z7lA_02Gc+s+!iSr^1T1r7?5hE-VK}E%cT=%2@C%dFp;4!ixT2 zZi8hK{R&`L{!%kF6rczA{2bKS(yaM#o?+w(pTbzofn>gS_lr@Pf%$(zZ^`?+4b|ix ztAM>DU+0NOx@i9!h`dJDPka?avS)vN%MiZxT>LekV;_e~Zu$l6IfXCs72Z$SN)qaZ zXn*-SSM#s_3#VUTAT)$F;=0(=XG!;dY|x8KCdx&zC*a@6{lYIKHP_V6<|_tLD*f4lGQ+Z-{Paz5`uCTjahqPdU=R_|fUrXD$t~ z4plwM-`xn9Jy)`K)V}o@^uvh=woh}{_b?-iIJRTi@^rd=9fkp)yGAsCHKu;q#CVb` zo1+O&nK?BF`Ut)tAEnX@VA-m{{~~Se_5{&SZFz~@he04w_d@;)`+wn+iGB-<8uVkF zZ*vv<7s(S2wW1#f4gatfxf5-ni(9fD{z}#dFS%j}kJxQo;ggRswL8ta#SF|=$oUtG5hmM=s?AM@jZ zl9s_00!YSf+w+O@4L*Xq$K#fk=wGnj+Og?NuKL(ruz$fm+iPQ<-jA)~bpK-?NP8m& z%`FQZg5(5th0YP!)k*Lpt3U0wF+3KNZnrA>yusJ~c2vt2*A{pyC)c?&U+lkD#POxB zUzg^;>`&7iaPX6#vwj6REI(k~laUf%>Ju$Acy2TJ+a%@8%nFizc213C623-Er1}d6 zAWxi)GT6Vcp1;Q2WZm~dKTwVz;5JbNdf^s#E21VmC&j!>?z@@b!E%9gI!<&&2Zx$y zju`YV80)40tb56%`HrhXh;N5p*uV5-{pFN52Br_Y2TpgV|1lotstw`WZ@Fb{E=|XE zvt%K77ra;n2WBx|+oj--O^Tg@=qKdI^Wz5Ixy+-Hi!}Wf9>5=Pub`i?jVdlpMfzQwSqXgu?pbUw`_riXJ-fiv~ zoj4$IiG%dF?a^|#c zEAOybvB8gLj5%BKC2u^2uM;?$dMiw{5%RQ-HSxV7R`A3=FY16k@&kCa*Y9lj>sm82 zH39Is68!scnQdMG{g~_-zj#xhKkdFYny2dCEXzvt5&w=#l08}CZSY|5_HUhr_XU{j zPjk&AylzvN<~q$9rn-|p7Br9tY0k)zV*Q-AgFe@{@!UgK;0fM^oUhpLi~ss;4CP9& z=q*EX1dC#*F@sM114O?YgMB5>#aw=c|CxEmc_BL2ZUMg-uvRuxP>-=u`hFg9T;cuK9o<*19gmOrj%m%PcB zIcd<3iSDA769uyXDA-QU>Bxs^#OHXEC>Pq{+b!VB>p0DQnHog-Y`eEB2z#C`X$qZN3?Q{cAm-(oNkv|5^@qGBjgg1@-iyM4>-#QVE zK7mDPaFp^smRPE9(IK8jnjnY?H<9mnw*zDLpA-IAA?oqoY&69F#f1Z>t^EkDdMN)& zj0Vi%Snf{w?059AC4MbRkoPLN)+<{pA21(&Y4~;r`i&&vIo&Tb7(4p~^Tocrc&Y;Z zF8_OQzwle!3w?~_U5y4GhU>mhiR8_J$W{F$N5^e&rsPx;`hAY)x^fL16cnz8Yohx7 z!G{60wByk4@@Na^NcO*Ha4c>G@W+^^RwDrYC&wx`_ZL2)F$0`i&Pfb*qcN;gjBu3C zHKA_-4dzPXggf!aRee{M&iPKH3y&-L{9U6dfbA*8+3Jh04j(+Q93StR2yU$Z%^H-Z z{H71c<>0(s=s{<8`nyq3DEf8`8Y}I}C&Xcn$?TU#)uE=E=P?Oha7~@6lGgL zY~R`ap^I=79I)T#nBk&wvE(7bvLYj!!C)U^s0Z^u+ycaRdhrN!%{;$D-!687sUezQ z)(re){`+$xWN#L|H;?>lVq%gOr@XBOfyC`x+7L5gYE!VQ|AoF*P61Wzv5BuMb&(PdSs|=k#w(wHE)}BPlWAMcyUwYdFlfq{i)RujP!J&lp(D9g+ z9+D#+Q4Mo}xTTi6u-|76#8~K)w{pLO_l5i827fq^d`&n98KYOY#83O!CZWW)-cQhv zNiN5`>cp`LVJGwTUfblRIZrQ3=W=7x#aFzsPO-r`g$WN8vHTI>4M%;?$=u>!dt3rZAGrXe7N*W z3FdyYH&@)W9Qzi2;c8!%+{Xi`kGM{2+$l`+U-kvja&W<$U-)83ox7@!a^6=}lYZjs zp~!z??!fRaqK9kUIhk0_X}%3^ng~~m4ABpbi_zS@6+?x)dcROoCEWi1$ZZ4g68+2~Q6BlAx`l(>#W*{zndoJ=U z5Su;X>q4U^3)cUQ)cnZey(>3H>42L>PNM=no&5^cictgd<<(D)ca!i>e2_$df*9e3yLDb##IMMLw4^ z-o&vFQ>;>nU;DB?R>YWq=kPOdY}%M*(3O6p&HFaq7Y>REL!KG?PrvCRKG#(E*`efyoHH@T`&yGYf_)CUrg&mqUGAU`gnv9%s*sBd!WVd!S!s{o(X;1|0RXoDPGxkFjBsjUgm^`8k-6ao*&^H^%>1 z!1y!tmgz7smbX=XMKrh}yr?bLTJj@?XO`-9E{q`QL$?(g%(tMwBb9psj-}u=R)Wuu zKmX2F_+PN@Efb;Kn2oOzsU~wLZ2feO-!fBm;|oKn2Czvrtvr=Gn370vC$v61C0hM! z(2eJVZ~YMSG5K{iIY=JF4xI0~0|A~opQW>DenvVmoflFebXgX{drTYBq!-->?>JMa(yrQl?;dVo_8)A zyO9Tevl4A9!njGBsFpqdv7Fjxp?;VMl3e9xi*gA&ta8RnJBDT4C_-^P(^#UiWq7 zuNgCfF_CWr-w=OZzCqH@Hm{g0bJXv!-{<(PIh*jlFs}gp3&(!<*#e#t&oQ7+mcDKn z^252|Z%ex8iHQ=P_tB-6I)^M9FFxajz9!0U!GQd8Mq3CMZr(7dPUlL9&ex!O1a-LU zj$3aG`CN~?3rG7_`!^d|s_QE>M1KcAgz($o z3*&L>!HpTz5sTcIk__5;3qXznFJd|Rvbyl&GQa#AKjrcE%cLt4P@ruJrM-B});0B{ z>AzJOe)gwC%^CR!KP|v(&m+N$f6RoZdqxSz@eZj@aN%6rgL#c`O*;A$C~F0|7HkZz^t{9xxYq7~pf{VWvM)z6I1pWKV1qe!BX+hkE z9*_1=zRqO_I?%CVgBf-OfTJ9p_vf!&Xad%Q@8N&p`I|HPm1Uhd0rj@wg|TGS;uz|~ zK{E>jq)zpDkNyQlmr8F+=hwSJR988`L~*czbi9uF7!ImuXY#0PdvpR;;I#l3+ID&% zG5^5pu9;?l{usVFia@KJcVyK6&*Kw6qlY~OLx|mPS++i(;Czbj8u{pgzkSt;hCmLo zYNQ=uNYMTBm^89r(0PKhp2zla>N9Q-Pf)!A;AcX5HW`7H{`T& zyke0v`j?(itoL=L0$|GmD~A!wR;HPf#rO39c^TKghhQG_FyT$yH^_I3P0)m@$QwI# zblYO+VK(%H@;?s!3;RHXNTf+|l(<`PHQNQb7nkS_Tm1NMFi&#YTxYhWN7G zp&!HXaekf+g|VLULyqn**SUyZ`A&DtyRSYt@}}nq!WaS_YoWpG!ZYxzNe;`p!Nhih z?L#t@m)|@?=b7010|&D`^#**{;5&L?U%8ugYo9apK2L-m2G`@s^B(HM>kckC=Sj4Q zp;@qRd5+7YZem=#XZX%(G%XeR$jp5hf&IF08eII9^YBZkem?`jgJt{j3`auqU#Au7 zG2x>A;6^+a{IWWe@adN97?Q5KrlWU^stm9zn@xZ;&nxkcR!(0E_EpUNxs3;CW z+202}D4#;#*_g$Td8ujUgZ#sr=`;gUaOc+mB6V7TL{At2XEZarvqWa0o z!M_au@m&Uq7a399IKT%#I|9PB(?jVH+$2BE(RyqZ`jF%7Q}7KTyd~#-Ugj#tvQq?Y zLCi(Vf;{0pdXI>s%6!jM4iqkP-(m0}upTrZia1^*9DA`~o+D=#8H^2!Usy%-Ef0`8 z#X6+j;Ei8nPEfsI&3(StO7y0t_IAWL?z9oelSY309dcIA(y3D3*@rmc2?vE28llUd zj=Tz8i11e}p&#RX>RZr>@ZP3VDR(c_Re8JiVFYzVz3(R^%bfNh-WTE0K#weZAUo1I z2KM{8(m=zH%=5(gaZ(RVz`jy)+~=J)INz__F61+Cj^O`7#5Y{#M_-a$sM~K0$(Nb} z{up8`TU@fyToLD7<)zGVAsIWjj#Qpz+6cl=3j;FvmTX7+f?PDDX0!nBg2#gop&#RX zz+q!Dw7&B4BCKE9oU}_)U-3I%*&|e`kx5N>E;J#OBtG`J2k{iFODNteHZp+w&9U%l z_L%ca;Bm1b{`C6}qTgKspP+Cp_W02*#`l8*ApA7=ktJWgo}+L~=l_|nbDMr{+Rue& z%AD64`G!0a^0hflyswb0Br*QpnGnM9HEM9QZOYWU_U%-dKL6%$* z+-}H$0=nf3cfUi0v{JsVH?3vib=y?pw(JS~FOuVldW`k->z0^xPuR53VE*Wo1heLu z#)j#+)Onchom*I_Ub2PIL#e{PK%hUBO$ zjnVyjr2y)J0F|GiYvx>ya*<||wj&<-FAN}UY0~_+xCjcs*YCd&dI|<){}e~ooac!= z@q56wl%HePJ_7X&>s+_B&y&2f?q`b(jCmq%U8+JR2Ij5FR{h9PZ?a)-RZK8-;4<-b zE0P6k9XsOVc5`N$&LiEOiMispH^%Dch4f~*S-;s2u^dsuwUs~z&h<-J>&L9H=Z*u5u%t^gA> z8NPm&MeJ<_-w*3zUHoL;xW7jxEnsjsa*Y@80<4;++z(YzkMXe{bSj!^FHQAJHIVlz z0^VXn_R}q@(;WmC)NTVmImX+g{_~?nNKJ2=2EQ2phur88bN)v;66ob$9I>xx&4G-= zOZPIqnVN47f5fb!E*NRvF_0>7rCCrm2}d<3nntmZ9Qx#YgHU09#(a!ltLJ!MS|O;t zNuuQSS+oYf4uGtG{h(vSc`yLEO428_@ljt&SgO9yr>(@dI6Emx|9uC+OBT=o_AkiA zne;#8#`6C1*D&hF#F8Du)R)i$`Z3HYj|}yoyY-QXW^y2?`K!!@Pg1yruRCiVQ-fs9 zmH7kvNv_Mz+%)=q{pjsaCt~RJF$e?$1Bg$zx9H=fp2nXqe$iziqSHF!gL4!Z%+b3e zglAC*E`s>-?!*yaYpt^aX$NqAbME0jZ?tAucjP6B4lfqGapV`vQu5!PWXknzMkW(dgObtBz}#~@uhS4D+d1>N5Ydx zxImqQ2=0y8xzJnA#C&dC4*Go#1U%xZbwzL(amv~Fi^+sE-tUUqr|Un5ebMAM*9#{M zC7ru3j8Z@JF-sDTZHIW}4FrIfEEnH-V+HW#mtUKxFAqvDhA3a%*^hV}QGUxCL-cyr z-NkQrD9BdslL{+ybszsH>M_h$-nW461;v3`VYY>%CZ*za>5-~sIAhxEEz-_w((j=}`) zK%(yZ+s7!!5PDhhF~Tn<>xEyctL}Fa>KfKfq?Yo=?;{_X^%wKp#GjJB(NTOnjoK8b zKeNz{82|QuVJ0CR#JkGm^iqymv2hf*_WGN$>En#X?bogaX9M<>9mg`QieF29_eIeGuhmYL@&N16q&_DbG zyyV9dSBxU)j}k6}Hwk;>t77=~`9&BLta|WE7Rnu)?m@fGqBD5wKvTM)u|OX}EDUn! zLTr=1;FPR$Rd4KHfIZk<^S1HtD?Gs9^*eF^*EZz0z%K0c1-TwDru|(lpWt4(vGZ1l zaEfh@T`9XiUQf)R0p`OJp z=;eDnnRu)ljQRn`ZKrSiqi6&#?phE@ob%8qoihxy)IA608mxn;+uB6-av+^IzHH8X zwQ-e+7!x=l2mXCFA|Qu_%L#Au8zX`j3I_7UB#+ESp5rPNb9EjE{vgMcI|WD3THv_S z{un_>y8~zf^#o(|pwDsVpYQZwVvNm^{u%OIEbWq^x%2+ucCnuwc@|?iSjXN^ImGQU z$qm=mdDLTY!@u}o>8X6L*hJ-f{1QWgvBn%s^b&u82aA1p_oj}@|36^X{Fn>=lEZMZ z{U~Bgd&&kkN@CF1Sw|YnzU;OIv<7mSCv)A1+r{|{GKE9?eJ=LYbaeaB$_%eL>c zX#@k)!Rcm>^-r2RF=YQ20zDV%^uS?Z#C1TQ81VU7XIs-k zxH2!F^&yt0`+kM|N{mP6jL0XZeV&-xS@JcCYewCT;_3V(kA-;xK6eIm6^PI9FP zUuRP1IBhh4YgC z`@=yKu^p)8<`6n@{i{J0F8Zo3_Qo6I>pIR5_$C%&U$3;1_c@gwr zeY1P!_ajudKDyB0AAeZWDEf}CW$2U313UQdfDD~e!Dsns5{%=RCv(2z@Rmtr&lf6q zVZ42~F#vvKUPw#}C5{J~=jcfXSr%?i)bsB>a*BarXzBBR{rkm+a5a3Zi{7|O7qjju z%KB4X2J%gUubKIJk#5SpjdoPd_RW0N`@ZW&ST}rowr-~Mmy^q<(-+tQ-zD5Nf|z&J zJzM5LXG5d4Zkl5vOw*5Su}C8xm+bl5Oa9!!%@U>F8q^p2eUv}b!T;xbdlB+0`M&Ag z$w%@imJd(Wdv}Qywd7n{)MK0*)qD$bAerOe8@zV>xz7sB%CA`xM%6K8&e#q;KgOhu z23aVdt+$7AS>qh&E$ACDYAQzV%)WNGEH4A4h@rjChj}cM`tDy*TtQY#jd+yguf?*u>L@tT_+A zfxohV^J*f_8@LP}uf1YYT@Tk|3~v9=SM}>d-Wc-yo^mID=020Ha-2eP)xXx=g$xcp z9vz`MPsT{~%T_5gSjYSf{?tLNbAm67_nBS8Gsu4uoczC|f5G}Y3%*2FuV4EnNxxrz zKVrN5{`gE{%<1&Cq2kwRW_T(`WCgew_8{|hh#^$(h4sNtu9(TmpT)*Q9z_0%JtXI- z_+cNw!q6W6%76Ghlq6OK_1I%R2NyUBXLie*Qhg$HWg-u1mPt@iZ0cV#oh~z9xyxPS zBw`G%VbAt6!!1wv;Wel<1 zdvJUJ;i;+rbUQc$14r4qDkkJpCjlz@SWNJ#XC|fAM>u znG%GO5FAGr~~^?huq`#1R1 zmiI-cG#LEk8ct)|Ryt>}+`|98iN>;^={?^e$)?=XtW@ZubOig1Vjb5!nIw*sBB&T%7d zhX+T3ON01}Apz-{gR}Oo;j_Jd!9R1s=V##1M$BcgfNXFX`xnd|@1ZXVW}sM4Z}sOU zB??!1@LDrLJ-n^T1Mpf{ST+%PCY=AU*he{U=TlYhk!VfpVIVztGf6nXJzksj{}0|N z$Iw=M0N)vK;MJOj>zr|Yu=~4j z%B>CXQC&yOaMfWz@CYpC>)Idfv`*QbCUes1t(}$gw=$MaapQsabk8meSe6R4p6H#V z`Czqz5uUp;BdV0!T-v{& zpOJkp_{ox^Q$C(HVXKl3-Dy+EYR;WNzmIWVhYcq6cdrQ%PFwm-@W;469{0u=igvsI zVC17<96$a~8~uF$&QX5$*DlHh>=2=xh#ey|HvoK?O6~tT7Kl6=nUDQDm^hw&`?>L= zv$Cn2q4WJvFS2KFAaZdSkcW$QmgP%r%>%#ez%{;{q_bx+u66w!lN99To<+ViPEb$8Kj zk{{3_CR2F`A?cLL`o7b549OKiekIHNZ~YK0yeYQ>Ch|c1)f0kGgME2Dyy;-oDlO|k zKP~&>6=va%kGhI;cgf=?;YsLUAkS&(;Y0DTSMdp(>GNl=WW5YY~{gR@Kz4P z&S1@@&T=AD=Tn;u0iS<9z{A7Sh}RJZdO1-d3*h%)p3M0-BjJPQ3o-VJ0eIHEBsb_Q z*~f|f3y)z3;eHXmO65q+S$21&67CB;!bD%y+dhT3{BONFUFWW=qV#>NMe66P5Jik- z9ryu$F$QLDh$p1aguDc|FiDIc=MCmptitCabJpb{R0bGzCrdwC&pfZnB?im5PXFRg ziQO3_YpZ#N;6O6}dk6A3c}?{;GJ*^aju|nM1aJArB?H^iMr#g7Qg^Pm!A}$N zzBbFyeP^PVa%ZO^mw*qzUf>_$0Li?QNo@Z**bepB*QmfeJk>`%E0L=40-;lk_7l)E zfx?S~J@CeNOn!dohwAk8_|$3pp=aWF^U${b)P@&>heA~^`o>N7UHOiLVs!FS>>Xqd zFtQsl*6oQ;rqp@A?n+Y*VXeEy=gJ`WbjT)-v8p!|`7bDoitxTj&givN@`D|&@l7w$ zo0jR8NKz;K4m}le%+A*v(qRC7^Y;*lbPqSqapH=8ARh@t@DPrNs<@c6>|dd zv33U^7{;{uF34Ht27g_c`tSc8MzuJI>%0Z|@PGz+7DHKg^2LFiFwTAje)4=?L|o}C z{b7^TB%Nbki4mRj$Du_AbK7>Th2PQ=6UemzlKf&+ zCHEqTbLQt@PA>T{9iUHUe);Y|;$J@$^JL)~&5jbClnFdosQ6K8-844y_~J__^r@<>0jW=_zE z61`s*y6brwV5{?z6y#U3A3W2AUI1I-)F6VE;uuYMG?E0@^7@i-=P?AgTO)Np|2^`A z@YsFzZX7YjZVY^u!V6pOC3>`(o4|ME9F816$+=Cdn?;M6?>ID+CUaqs=}Aacc$j%6 zQR^#@71#sTVEX+^wYZf^nckH*EqKi41%Be@c;V1#IcSM(Bx}GKd_=9c8uLPj%$z$ZN z^KrN#l^U>7d8-#K0EQxA40s$EJN;vyPq7T*T~t7buUOswOq%9se&a)tFyi%o3*H5O z{`_Uu^cS%3|Fcdew*B|T`!aGHPqHoYOiX|=+8tlAbNL_<{3|zO5BJLqik9mQmds5rU zX3Y_J86w<^J=aXCpTNF6C;r01Y|QJp{k#qCV{--$*#?OYqA7H8hZ)DcFG})gUeC`f z<$~WbWUq#NWY!y+n&uG4l(;tWQT|%T;kqZl9)BzQSL`a#5E!2C2BZ`c{|$}8xyVMwQAx8V;5`$ zU#~ThBZJfGK$i%g)6^nAV&BJ`>m|m4eaX-7TyrOw#c;7AA01T8Mkmp~u&;23i}p?R zBS?JO%|kR-sNH2ld@#=!bYFZvgKT+FcL6ze&?jxZpF}6QkKf`a z`627OXX!Z~7pnZ_`JUpN+y(tM+)Boz1u;^G>;#vu0~;HX?-}P2E7Q=yN;rI-SLe-cUN6WS`GbqPUKS$HfCJvMyQe%DIKo#1?;;kcJJuI&iv(G_FcCnu+=^Re&8+NyGFIQb0)2|j1Io_7J3 z#Mg-pI8&WCI1#`G_JuZWQb5k&F#r3xv-+h6feXNXb@0MChautg4FeRfhMCBplzbZs zB#xQ%+p2oIjW5i)hv*ba5NTDsR%e3xuHe5C->})N+>rC&TVk9t>f0dUB>g@$pBS_2 zRAw~s-fh|WJe}vvxn*!$`mvoo%_+b4;^2rJ%HiOz-ae}9ix^J(*P(&y;H-MgCKU*3 zt($MVrBM|QFb8Kz?w3w+I`6EC{34u7FA6Ukf|CJ9xH}7Mb_7XITOjTi^~XifLe4!c z=PEf=ZBxQX@bRlt2xGvXTdf&KY!}Hdj?%u{mgv9Y-D4v*APpj5*y;RjMb+c&5`hP(faXP zII*0(N7zW^_V>ALNM6R$NNR)Ua3k`BzDJyAPRKa*zaTehLa&uRTe89NV<9T~(nW~9 z_G|A)^0iuKQ5bBi{^df6Wu3EodP*I5W?rJ+w`F6Aa*g)Ox4ZK#5_xa zX73onBS5aD%uj7&XwGH`z@M5_zlHk+wCw?lFL{vzu+3Lv;Ll0k>HHu#pQi@fG+-DnCUX1SRMghj#`I$Y#D>FPoY1B9`Z5#I7c`i=T0ouVL|DJK&g`>il7r^ z?%VVz84rK-%q!LFUN=NHxu^<(jx)O8-)!w`Zg?yI@y}rD*ct_MduLh-7yG0XJ2?++ zpdVrx>gYGEBsbT!LL4!!;N6p0Lh3zMV1IUoT1IbIvDj?SaTz{(8C zE;dw;RGrvw;R+o*uWcs!`s;k@VyNV3#Y1P!oZ-&4HHi7aQIYw|akcKI{KUE7o^cLh zNE+?s@y=HG&r!|3ADpF}xkfSS--TaDI15WtMSpDm!%O*dBakz|`Y?a&_4hUM8}rRX zog<+hYso@PC)8sMlzo{(hh`yZ{+u%55p1hdkKvp9ETpW4!_J|XNCcr54*pU2#FC4GAS8$mZl1C-nca}?$r zTgQ>y=jQ{3hxxEvK3S{}KkBhQO8C_uLh>X>$1VD%F`Ns&>s2JrC8I))&gDOPQ_|<= z4vp^yYyI2LS#vGV*bz_h_tZ_(e$l~+p7A2G8T?`#pNjY9$9Cy1jT&4rScg1fZKC>- zErzL%!ARB|Lg=Z5Z&cP*`m4pMVI*U_3d0U^<#}6K>8IUG^|ZFcaiAZ& z<cEdYoy^vj{0>+m@r>AI5#iI8XJlK*!8$u{KFDqF?t04|aqI!0sB1 z*SNZ>y6Bx+&MD0un&eOORucnSTB)S)T)#4*!t z!Y0yu$UWv3rxEDYsSO7B&^HY7sGdr|c^?Y;&szNoHpzrf!>3LTbY~KPblG4z;@a8R z@3TK=V7U6K9fp(GrG{Dx*D!sDhx)8s@OyLKE%uI;-~ZRP=j6`H-|3O0`9yxP!r`ek z<(k2^34h!-6`m)3b?X%JjlpyOw;Sp)=xV&P%*2$2AgfUE;U~R-9~t?Baf8r@@;McW z_o^K#F7G()3$Z8c!3W^reC1MIh?09ZJ`efGm_J{RyJ<)sdL4V!eGSf0-MpI*F@FC> zui=^-8R$&cz1p3=)w_b^HWYfp=lujApD9klQ5)kMCw<^%_>%K46~>eBi)xIfK-O*dL%$FE z)n??Oi=TNy8Nzj+*!6zA%wwGGOv;gnI%kM~>o|C@d?2?9rG3CX^(x~}&1+$@81&YV zbLfgYb!Xu4DO=+5&S_Gv)?u4m#2*+xJc8JjP_a{pa-z3hHiWNq6Ll}_XuFUn#JL$? z79(ncIU9T7l03itj`%50cxaaPEk2>j)n4SOT;~c&dOz%m5ubh` z_RUtD`?9Cl5Wk$GBQ*qOa73Y*K)Ks&D)CpI=|J!eZM){TYSvw!&-@zNryR^DmMN6| zqZ?IVkk*?_kER2_e(!8;HLN(|HIW;_ZVd>5L_=I4VtCteet=K_IK}NRX5u>PI->L znzwGTB#~ITj=d}KT6St6_Al%M`7?z$#?|KRI1*Vj`j-G+ zSd}AsgEg<^LF6M#FrKCAM}y-DQ24XsF&~@Fi@lTQjC!CAW==B+f9Lciws1TxVBcGwm*{J|%}=7)%;o(Sc`XTlCAO%Pr8#2NLJ8ej&DrEB z_0pzAiNcjV^CgBBy>Itm{j)s!T>wkPhH!qp9BCZzwEmcH3fIpgNZ2ll0G9UVFGIF)Je)-}`{1`r(m?{15EbJG>mkNC{m!s~kS+o>1;Dxwfcy2KB zrb%)qEZ3zH+Z@BLc*$I$XmFzBYdOVWPQ^l=;S-55qkT@N(KXnE^6UAKJr}^YQ&h)) z#+tG&9nZgYBuVtb|M{53Cm+4}vccn)`6IzuWzc{{I5h$W;rWbU8YFc+@?H^F0xFB1 zqe~qq6(H^9t@BB9qdKeavs04jB-hT0p_T&3E;1yKC@Y56FzC2#fSzNY^CY)sKKA#| zf_nCNbRa}@2(NdWv`+mPA@A3eUS?vIg&1`}2!I>&s0OOdhchIMho=U z!u3V}BECAG5(9C!>urB`r;cI}u+{vnJ2{%$_zie!%pVyTp?TGlM-tvrEFdo$oW^qR z1ae{U@n7xfrG5(EajH{(HlAuRm^I%^_?2I+PNIe^C{6Lx`8(!g0c?$kYifo&WxIM|}dFvdD=8SfRt=IDp0bO}ZDGn@Stm zcYRd-3R_&@H-MaXGx~j=TU{79kyh}24E+oH$$oYAA%i&_$m0{<>j!J$NzAyKL}eLh z8f;cBPPIbg-%E8HUis0i_kH(p@>v9@#PMK4h8d)Y$R}ar+bXX;&8m7i0jCE7OVTyGl8l@{($!!xRmKDpof7z!;F4keNaWl z=WoBNH3a!D#}7it_Ap!LOjUg7EL^b_9|j9|W=(fz@p&)*U`G(qBt5E~MuFZ?)VFq` zBOEkxD^|HGm?z79Zgts6V*n5Cm*>+V;BXrzvg`r9OZoiwBh;T%8}qS_aE3Gw(_H)G zIHy?W+-$t^cwS?_3c1;z&?k$o`C+8$RHMr%$0IFX^{2><(%i?h2JflY;`?V=M^>Xy z`mZL4H=F&G$27ad;BiCMPwuL#jj^R92)kak%N3u;K5rMzqi~C$(Ob~j6pkcNGf-j` z8lcm@_QU%+5jFuE?D2VRIW2u0AynpapMVVN!T%WQG>)0bLI1*esb}!#?wgImbxfAb z;Yay~>Yje0Cvn_g(Dg*kqmGWzTm<+lm8(~5h~IH%bxNIC(|QixmoQArW0&~TeCBak zj#Ay)dv}s}9{(De>za{Im@;fyQokE9*770rFtBYs{XIU7{t%Ah9b+bg&pfmAJO{U1 zcwf-NFz@Bcj#S-iUiZ@PzhNRt{zWcyDXeE(Gm++T(CC9S%Hu|Du#e_VI;4{NLduG- zy3NxhI=r?blUAWa3*A5cB>Vbjz)SSU&=wEox zGcqBM7(ds0;!UG#6q3j6?TO34gFSO}z5<;C%cUL-8BWe@Tp#MJbCJOnbY2Rbk?8K0 zI4R$)N}TSckvk)Kl|8|?@hMCG3Q4-@}t3HC3dJF`Vj7hpR;7?+e!jbw+DHhWE>& z^1NT3l%;dy+)%wI*LzYZU*I;-qXMhbaBqz0(bAz)YAD9iVgqW|D?c}O)Z7g8FF)+b z>lkJ=ME4fMMiItUtFCtFuIJ&x8pL1MTlkTMSFybtg&}zO&azB`t@Xo$4dCfBo^8q< zgY^QIGr{p=A06r%`ESPwR6O-$lU#5s_b!AXt+u!5_IHj?q*jpA=fbyj7CFnAyC;gj zenM^RUzn4G{zd#s;E$P{P?>yNRypr2lO;#D*U#`VOCVOE!Fy~s)Rl+Xuf8grJXjd8 zV7PM6$5_&L>@%=d#m8`NSu8aNUgRbAm5Y|o zSy%EdM*V(Ik(UIy@ZF)9BePE91at|U+k*auUx${>Cg@z^dZg^vA7Za{fCQWmWot%_&bpiDs14glj0hJza^d&A}=Uj8y_&%`B#H8Diw2Xlk&An*igKkr|4jxD2 zVRvY7c066K3ozLPFZH`apUYhK2ho1|K6T4dJq+Go?y}|%^&}@ghn6K0PieM8Z!0>B z3wi3lPboIUFEhfC+;A?w!9D=X#_00ZhiDE#6nJgmWq38{uH3YO8p@rSmQOtYI$f@t z^0}ag;UDwj_%vGN$AkUb2Df{aT4d3Q#eIH%4IK_r94d7OAB1ICEs#5Yi0kmXUc|bY zJ)ILZKP)<*romvlFm$5iur9rnral$)FJ24~y_=%B@%OBC-nTAE_7LUK9{@*$&iS$- zx+l!bgm?FKxbkHu1QW+Z{&mqp^+j3OS8`#$*+KS%_nPKwex!3};i=sEDoOMMwa224 zWc`}m4MY5!sK z=D78UqaEBopA00Z-h0=4jkzB4D&|4Yk9qjsW_j9gbS*N(-~0)A7R)<-l1+!X{wV7s z`8(0Y!Srd_wH3wfoHb|lZ#z2vsd697mT9`z_k}Np7Yf^OKeA8DIZl0L@QYx`^X+In z51hxmrqM9sm<1E&CY4#Ycr8Nxrwv>wra4Gjz2Fz)yo+B_=)nv)vkr}uT$M+c!Q*GH zRbwK_RVo)njK?T}eoQ!S_2WtMZ|~-6pVa<>!Tzw>#U^UZgLTZu{;$uGxhCc@B|4{V z*Inn-{cMTXbII`Ue|QH$N4Sg5xkDm2F1*Z>h>@yaxqx{x#!hXZU&C$i&C7aTWC26m zhDPHF;qp73jSPB~i2&@`UgEb*oRg&I!*W03c!;LZ!@#v-QFCc1`EbJ!i+v^VCI|mW z)cN$F82T62ZOWiL)u)2nD!h^{)#<^|WYePW&BXSuVc+}HPfxRqP9H*rtL^*3UHCYQ z8r6``sUSaJxzH`T>3pSirt%S@z}w-4|Hj(}|GaD6vveQbErvD$M|hKzno58z^`FmW8ZxF9Lr+=BKP&lG|i)i9)>?}|E8(*Xg@mwt#zNUHi*hkAJ@3KKh|? z&inm(-Q&8RmvY%x+feQOGa`3a^&(ptJYxTXWA$g$MclSE@79H?U~IgiH*|UYf-H|y z|IOX2%4fxVQSyH31`=aMBcUVU{_v3(^lHFPExjAAbI*eo(OKH1#1i9LuMYz+7JB#? z+%Fl3<(cwl5XqjXwpDYT;I9pme-q56b8F2a74;8y>qWW&9fIr6f z|JU9m80YO~nr(~9d#yi#Qq(Q-Z6?9iIxr2oFX3H%bHN-uveK{mC zmz)tNv~JrSL-qi!&Qww#i%--w{1}fo5TL&Bs*z;N!4(HR^jwdwEBE$?$m2pcey7JT z-HFyff&M;&P-S&|3O}sO(FZ`E44i+)$Smr`VAq~;WP=6q>YtEb$aCM~RQ2UH_tCzu zTQYrtV96{etNM;#=Br<6C-|d?q0SA1o}Ynzd8xFOeGS*`X*nv&4(fa-_4b}O?DdbnO@WIDRb5ScgQ5DFkXN6gb?V=t0x+o7Z z&a8QRJJ5Ft2qJz&%)ctAmVA19LHUM)u<~BANO&t5N5V_-!zd*2e(?A;Cf~|25R2)md}%SBd49`=$G58PIzlP4MObgYuiNS1r{KGZ6t^T zSCeT758^3A`4HG+Wpsh@C^nWpXCN}>o-=r??HeV2IiIK$VtM{Yp%XNx<1%;`7<+Ud z4OtljnGS$AD1!Y87?ObVSU*wnWc*rM)b}&@g2D6oN}VT@RmA_l@07!u16ZK9v>*Srk> z3(tSuI%bGo`ZWAv@|>*oRu2D8_!yet#QP2J3xDt*WQqRKzjY*GyYz9tHD1IqfKCsS zDUpREb>fM!MLWNP?t%pl4tEXV)J2BK9QPhh&f*_2fppB zOJ9TX_tJpgiUC;%dl1V9+xa7RhWT8L(@8eh} z$^BR{*Gky3Hyt&#i|E)Y&NEX9W0Y*-N%D5)-!LRsqeDE6=Det7fx_dcF-hkW`>*CH z*Q#y=q08x)`_@7iHUq>3oybnpLi<0)stiELOjm- z@~?E|D1B|BLd1VSZbvuayEG@72&yBr=(fty1SguuCD${WO!LCmtcg}?fch!02tQgg&tr|tRM$iIW z(flVr>`TEzZ+LkafnHY66~31rA^)iDl0j=(Zv;Owx{6y{!_7KJOZ8X(>zzzJKOaV@ zUt*+}&aIauQ+Eb}2E;2j5dF)a`;MVH^u_BJ|KdD*`_hu2Zg)q*E^ z;y>%ts*C1E1e^7~s2E3gL@0aH7>{`HZ~urRj_K`jZ^ZwvA00lndR?PD%_Z3rP7g6Q z9=*t-^MCM(*mpJ$IsoCKVvn~DwxSBxf{6We-#c9il58?=+ISb>5g3I;wiLTeK zq-qY$CqAmDZJjLp$)o$AFJQe1^uo*=ZiMe2DWjg}!hIzdt?B$!;uylJ3HJ2xO~t*p zea*5zJc|t^;{s|r6&S9-nS5zuRUJ-pG{tei_pK1+#k8|g{YV?kK{{eGydFGQKB%10 zk6};W*yuvSV*@`${N+8sPx9c!$_=9*H$IKxX(rca6$0r#<{SQz$VX;bv?-57j`JJp zF+6UzE5TFZJ~1X%boT)R@{~6@F_FgSr|N8v|iU+R@-CSn;x|K7Rf`h{YH zxyyHw9Eh=-3*i@Y0hYUJZ(rr5RvJkhCmQsXi`FYutJ7Tk{z{wE%Iksl#5~l8*{CPp zLO}c~fdp^2^NPWB`<;8>1u^#KOfa!*a?W0}_Sv{!ME8H(UGoBvC;ogM0FSj(G&lHg zy6$_v#eSbZFkjMp8~aw_8NaaA{L6g_vXA+=0`~bB_xyY5f^h+B({9jru%2pQp9sQq z{ar`oSqP_~(hEcMi55?tYxJr@SUUvf49ua69YIE4;!2VyvN%R{=e5GLk7-a~h+c6# z?ico3HS{Ky8xH^Sq2UO*!@K%cYR55W^P*|$Yy{o33MH1+P4u!6zD z*b*vc{DMB0^Cnj!4-)rX>-ap{igjAcy@|xRo<`eXV!wJyU#s4C&ZEU&-XJ-b4o5SX z<(2_zlKt?_4&wiO-gJ`YHBR)^J(Fo9b)5w#(n=Tg14UOCU+SvTH1$zebEPBv=PZw> zd8{{gOH>|in*xK|)ThXq;{E86`@zCJ_9`)x@Cm@bcf0QkhlD%L;fu#7O7nExQ;659 zy^GUjZuv3%I+D+sP5OMEG$|+hUt8S=RY?^6Ra$+Eo`2IW8obZ#+IF($JHemD^7ir2 zr3fDm{AAYSWlZu^UV3sB_3_Mu{{=BeRsM8Ut|<1YPva33KQ&A^)k%L{F_PGiIoCwB zU^7_K(_4KM$r+OKm3SjV=YH_-zs4SW@p`l7(cbabxh-WWPp3_!doq5(-ICK3^=TR_&(_MzsapqvfMoRugyVV}_&W1_C z+V9Vf&zHUR$M4`%2K9Y}S0-)v>~xPaozkhMEWYj-JP-S@O*VC5qZRxw%++2FULW@X zO!Uo<3N^H?vY5kLNG4*1HvYEM}z@z`rnm5Ri6 z>D+B*nGYCiG*|h?DDac-_T4)W`}!Zg!pV3zTJv>(3RPaUia|}1IZPBnGA3_xP5H-5_4fTV55KG zyp@X2EXs#PE4vsMQr}KR2A{$b^9I4O8LKn^3`mDO-VQqzesEB#JSK2H80QFcr z;uQ`zgPx0X-f9*Zt6(#Z{lKigfB0WukB$51H?#7)KEwS2&ikly@Qd+1+9gW!KGDCh z-}v<2begc}%YTNhF;T&x;Z>dckoY;GQcOB;JZMXdDegKG{%7bL2R+Dm+N8b!>X zK6kFb5MCborzmzrTpLD=t1M`eL8nihIyJaQhW5YF-gKJt^5V_(vN{r=z`K}V)O22r zN?8Q=ZrjZdkYC9_k7O@m`RCP*$=V-6Z!7bpce&)wd$n_=hUh=4)+HV@Rfe8PeClDt z>F?73($0$1{rFrD%`cu-SMKLC!}4i0%CNxsJ?I1Yh&DFJqz4mD(Ou{x8wjWd{uj>K zfM1MxsF$CQ6FukhvB)>z*A9KVJch%-&t{=m&t%~_d~hXCasU^CXO7eDaqQYO@m;!v z`Vv%I^k7n|`g5}FiLtWXp(Ez{XL2-rZn(w{H7hjuT*5mio_rWY zH!h4F5NdDL{uuhjj)gU^EgS}pzX*K6=MQIrwS&yV8X{lJpTRLbeKjw<%1HGMrTnjd zk@w&zIEd`mJJDYExk2bxu|BEZC{Z}v-3AsKTn;8S!QYQ_skeYX#=$@*%*sdlG*;`% zUGB6Kaje@qBM*dw=|4zO?#Penbh0ZtR`4v>^I&5r5!4s0_kUp`$(t{-rHz~?vpYfb z_cQFke|^>;tD6hPHcXci?IvrV>lUGN@W+0{>+$m`Wrmk0f~dNA>ipo7DkObY=N#p% z>~mEe=eIG`fQ?Bt!&L8seBW9;DEP`mEZ54l^(Ky!srqS#`gEc)s09!D;p>Oo;6~8| z@Pwu}iF%B@Nu)kHwSe9d%h9ANFCz4RpX(*(U(D`grlQ`u2LCy8h!%a3OaGv5c+IIri5$!Zxh1&KL`EZgkN7RDue+>h*3ux-Y~$S@PPC z=Si+mwc7cT|GaE{8o|aKcQP4!Iv5h{mZcK+C%-SW*L*k=^7ybqu^D=aWaJ|?cMg9Wk3~!3a zBbJHG%}*qw(d_ygY``rB24vDl@DcF?_Y(U9{643IT-qmwuA4?Au>Fm}hZ)7-G5E!5 zF>b-vm+JBWxAjQ%!z^)8|Ld)4#OuWp?01WqFLR;2?nOf4l~2(lQMn}tiVTV4?QGUL z$o61jnR$ovX8L*we)Wqb&{IBabHrVA7Cn$>AskI-kHQ_PcP-}z3g?us4CgPgSK)=tqX4vmbewbf| z_Sx$*=o{dgJHQtsx?%V$g?9`-xaeBiWl<0VCO(X$%gh0TADQJkV=-@Uv#nRF`r!YH zfBySi^^Fp4%x>^+Fa84>vnIwy`SpFhq@H?%JPY6>n^j1+>i*#SE}El@ z{zdpW1#yJe8vx;(2J6(^$HY@Gf4)(H#CnxP)Nu&S+!(tXdKcD@pnqXb%{=HWKfqXb zK733(|5^yWf#j(l1AmNvuup?&9M%oXe67Utkj*Vd6U&A?zs}V;rwRG87<)|H?I7I5 z)*YZ9V*ymIuk!6uMk+sQuM6?IxAK7M^wGsS3nx@hr$1vHe|Lo+QGB*D7Fj&WY5;`G1jynfNXx%@^ zpBngFZJ2et%oyO@adJqGC*9$_9{LxgW360zIY;xUKXKDN)^{=LvsoLaT)bUZ3|!03 zG4R`kT-;aU*w34gD%h**#0(n!$BN>}(hPEEz1wnc$=3uFXB;Ea3GPI6!gmbO zx94Z8e;xZu9#7X^YM~w2LkD92@_ZBk72|!Bqn?;doJ(-N3eI`F*GoL|X$2RY*HB+@ z0Pruq#Bla3$0X$&C3h<@#9s`aQU=>b4+c|TfHdeb<{J!r862y1 z@_u((GZRSiQOM(Mkok0CqAXgD{ z56&g7a?ud|Dg5YCZq|yRjfh{#KjudbIGFR7GNTpj!aJ*Zl4tCSda%%tzA(!~+%^qEJ=T;108x+096KO`{sE@>WNf*Q zHyylf=CmyES6*uMEbZ@6kFg(kLXMYmuXiMCj%Wnt@vxD!Zj5uBITkBQ4dL(_bqR5N z-&?VV5Keu}a6SJQMygNk2ly+Q8~t-#)hVUr>wfi5`7c*`}!toqf=0_CW|ufYA& z^`pV6b15|I_vQzl4et>Sxzm1L&vl9-j(@3ueqa2~8`3q`^m`M{W>AnfQ3eMc&IW&s zLHj3cmG1(s2hVRlsbf+9eA^3#@ZhRXRxS+mFv6vH?nhPuP2he(9Nzd5o_bDwSVeVL znb^M^LC{WfH}TPavo1z>Npt#ym2=q(jQNQFytvFnpq|uvSI3)%=N`R1xL*b#K4nH^ zdWQJ_62Tv1mweaBcwaD_+no}v+%fRSByYmcMsudIf3fc6U<2sKVBZ}VW7WO*sV>6X-)J$bZy){_$rbE&=Pwe{(P#BCN59+&&nmZjbR8ZHny>$=o<%Ook(4~Njm2m<*WXoZrJbh zAnSk&u`9oKatKZ{ot zVyyAnBghkHuxpT;=Af>QQN8+%Fx9o~FEIETb;Es!l=@}Mx_A@f5;hi_GKA}A{G6fO zQTQu4*1$U7OglNR=Md^K@NXM7%_5|SI;7T(RDZ@A=)cEN7XcAKwa21Ov!zQIA2V*{5%$_T{TQ$hnfH$7Z|2{Zf`Hh|>2HOY+WFQ}z_wL|boIq?!dY(n=FUK_Dy(D43FZ~Gmm*>EO zcEi080PyGs4*B9Ad~z^N?^CO<_+s{NPbJ3n?>S;GIrlNBo7}#FV(7a({dp3QH^pG= z=2r579c9Bh@RT?=qI0O`eb2B_-CKYcA-%H2$cv7ub6Nu(4u5ZNyAY2>Ql^-tKCI;& zulW`oZyJB!1<(Zh49UOv68?RD-PT(PDLIuU{{}q{Y@37s1Q!^XsgdU`%9TO?vJ8XH z?zsO}^96n_ksg8~HqbLz_Sn%QkTW|66Sz-DOWw)vIL9P!&U(v$8tS8_yBsJEY6-XY zlZfNm(q{W=-WK>!j3wQ64)ZY?6jmpuy)HoiD0-odu9CO${epPqTKtx%I)YD&4C${D z;qT#v?dxD-8%p9EGhKt)+3w3&Dh2QI%zbyN!2wzRQN&!@p`IzKZ$6kVeCv>7CTh=n zb(9m57kc!Xy>cs(w{rr{p zKj?+Q_xz@%o~k>^u0nlK-Fa5Bkoe~2xaqxeGDdy!7s5!|)#n9<@K4|$5<5D0N{54FwYk=qLzzd#ILpg!Y!pYuyBadV+=QCXI-P}mRDX{L*Zyxj&>rI!}mAR+$ zj(p`*VlTs7m%XDhRTs7>U2>(Wx42`7FZtJOdH%}6;t1{S4ZrmkTCf6w{~^dJVS!LQ z@_t!B1pOG>`DRtcIgbWoGxBAytS@;7-i7RSfA-ZJa?GJI)$QA%#GXLsFS>UW^FfSv z-kixJj%V8VbD{COX=3Bh{>c5pX*%RuG;vu}b4{q$W6+PW+|(}9OLEAQYdF!_aSv-R zxDQ>loP%98H((3udFC5qf5CFt1|4o0NgP}a9@z(6fS(MMz3?aC81P>Czh`-LA_$AC z3gv#W2NnW7Ic**MFYE^TFCX(}@Tk7AOQKb6Aov)JKAQuF1Ff1T-hQ;^F0IU^_b1sX zbIag1DfXCy^0NNQ)|@)%PNm<*{Q`>d%?68I=sIE{MnRvP#DjJ8d#_oK)xuT(ybBC!l%)P*bJtNF2e`5prM7q*=^o-}J7#(-Gi{Io>AnEJ9%kKwgB@qRop_WSec z>00Nqehjbg5jWERPPmDluwj2U=3~H!`p!uZUvl3X7P{!mMEdiF^rL^HuN#EMtW^YY zyv+ISezaV`cx49bUeCa1#Wtt`2P?}xdoD3YeRl2LH1}mojOKmz4%0al6&h@}dxQB{ zNEi~%K0sa)`y-*_=fAEm`j^vxZe3g$=&ku5C15Kh(3=E|AG`E)@(>9ky)+dBsH^YZ&-YyQT+$g@EH+%(LS zB^CgFv25mi)bk;@eO8TZ4t+WD#0!7SBi2h=?jf(d1VLmg(&#Vv`zm?(((N3VqE7IO zaUSI8LH5dtGt9!Vc=tsfNuJq8Q zydA}tdfcykU-`I;@~@|1f5)8rAF*eZgQwUy#KOn;czWWAaW$(Ml-gX!vbLt=&N83%o`_^B~Z4(H&yvLNwcZm(b^$+3H9BL3~;CxZhZ z!QI6M&v|}Mhrf~qL^rZk4>8nN>V+vyMyhXjpNsNG9jlYPW{;8g%D=o_3EQ-$JL0f! z2kBaZ`+5;TGoY1%ovalg_lsBbgK)5Htth&Wq_{G2{US5(ZKEzSbeMx>v zwihuje4f)v4VK3)&vGXIm}2LlZ$# z0uRZLbA}!UQ15nYQuD=cZ|>xw=K=C8q)$vpr(3{k@92ETSb;c{uhX+>?NFc>9I^Mq z9(h8lMSUvh_ocsU;-h~~+hpNDoH~$4MPX^fZazXEjXBdA@G{x|(*b)2#++V7o`vLk z#@SP#J)FY9X5rm=gP-(&`Jc=!$^Iu#`4*F-X+2^-d^UuL?xr-vM)z{qznB=n8SALL z&e5og*vMqtRr_T4Bqk#!-dYkz6{Wx{=jB`DrO$ij9Y~BZ`EasT>s&Kzsz5dp;?E&7G#XR?#g`8~$N4y4K2DXyyYF7PRDvhS998mIAE&F?Kf=i)$49JpPzewI=e{b43a7(w3#$X?aIYA@n`Ngk@eqXp-sI%{|Pi(Ef>fByu z60c8Y*NN2m+j1}2r~G!N+#hr+ju^+c@=Pubg=);z{;n|>>WfCpoh47^Ydm)~n2+=% zK>I;A%%wTF7xOVWS3k#oAAA4UY5CNN1)gypgz@t9pZjDI%dR_4OIJ?ZgF6Q2>Ajti zt^CwZal~uK04wTQmI;F^C;fJ7ADM68|14R2Dm%_XH;JjQ?Y~yhS2Ww3rq9P%U-92> z{w9@10XO51`B*KiJ8D8d$GX>AxR=CF-?Y$R+{2`LR+7hjLo{`QTyL69D6zfj_pfa9 zd-g8(zpO>hEd(ADb|Uu(c7lD~yOJ~FM-E`$-LLRz*+A$arY)`w=hRI@I2k+RwJ%;D zNQt%c4h`I3C8V%CJcjpN<~`{5g=f6SLYr&j350*2eL`P-Tajw?Eb>&#Kr;iFK1Y{0^S8=`I|m|n?w8l za2fE)PB+zC*NP>_ZKG=3Ed}3_7wph0AhojjKif$;{ z%z^V~k^jPT8IV7tz^$ahxo3_MSqO@g=2`! z@#Km4og+1G8j=IKC!TB(+qE11mj}Qtb^_;5&aZ`est1Q3naA4acKmNXCVHo#dFoGF zn@HUKp27XXv5VJn56YbTAMB^0lUM^jKbOIgZEhL$SxA!XK>vJ!7j{)P4dX_=1Lo>b z`)A$@m0bAWmb#Gq@6J~vmbL6Vi#!X~BYf&AJk_$%@%misPt^Re289ONwaXzLkb{D2 z`_QgnVp-GnU(6(Yl7Yxe;{9ESJLR!YxoVW^lAeqw;Ic@4v`T^(%jr8L~I& z?@4blw!gNjG9m4xcy~;W<`m_*(NZ?lKaC-gZ3l! z_QXlvX0P?&z>Bc1)DS;ZiZgNCb+6HwGqGP`a{wLZJjXW?nnUa7AzaK_e}jv`c~Rc^ zk{4fU<3YHMUjKmo3(NXy$EK@p`S2Y>_77dNiLu_zUyY+w;9@p~Sakn&GnHCHzY+C^ zH*LO%K!o==|9D_NCr|a0$E=d4^yJGlVvKyXI=<>RH&T^1Y-dmVc_0KG6yp$Q=H``i zs|pR~#BV*1ykrpsL@VFWEkt~1P3zbYn)|2Az;(ymb~EzDgzx?(^e?PKNB&D8 z+K01)v9CmY?!uF{6wD2&HGvpU_OzBo>!dF(8j=_AA9zZzdw>5~1nv6K?*5E*e$<$O zrazV$l2ZbGvYbz+D+}*xP)?5i_b?v=to`yLrWsJ_h==R)}r9 zThE(%bAS|dmQY6o{pgjUdig%y!WFtW#H{&;;3t2)()Ip@)tRb~!TZ9oo7*D1NPLd7 zlZj(XsvwV%V@#4)=c*42{>l$9h8lu{f_-4=V~{h<@7wnQbQO=)S7i}2X#^UDYFBO%D%!58G#|e{~|}jm)9xRbs@zuXr;cn_i(TAnYp{cQQBJqWT{A z#jKDYR(t5Jx*A*L(XyWt=QPXmlYRwvoO3Z|gV)G@-Fm*tzwDPvNIL;o#a{UfZK2O* z|M=8A;%o5}H|SwdaC9urlfC=U0O-diZ>rtCTZrmvn%PhSgQ3vxD}SjDl_cF8v27&& zd)(N&bd_`S`0r-Tg}Hz_l8qFjZm3@@JznxEmw12=!}%(S;1=REoY6Z^=F%5a!l?=y z5yx3*DFeaY#n41xR{wIs9vFEc^^HXJfgTGIpGnYV^ffo;P0jxkJTLfV%JOqn4_mp| z;I^R3WCzv9Y|9ot=&@eDgmHJ7=~XD%G3fM+i|!pus%hUYM6N_44@&B*JHd3q|CbFdu-~t~7>elhSVHXc_dRpm)t_EJirA0! zv~miey6E)@lK^M|Jf2^sTV`;1WPUtObLML7g{YzOgpZFIIo`=8u za55n-KI7Ks*uQL=@~h`nKmFXEl^NnY*x^YmmmJ-^iu&)b=IB1?qMQ1MD#sGXEUh>j zratJk1;#GqvOA-HNoU|K-V3NbJMIk4kX(*O^D+o&A#)yug0sZ>wrJ$q@&}miPb}xC zx(D|Q`&sauORgUJ{e9hkv&8)fKk|}`F`ZV$5z8-bY{^v)Hu{%*#&q{{CbmP|O3WjU zv0Jz=K>acAA~dJr3lCzM{}9a4GH_k5o|Lb==qcFyqmP&wlt~=h@*MNzw+0hDN{nb0 z7-0Xx`Hq3@;8TQ;y`mZZAr`3Dz+Mg5_%3g~Wsm3Rm@K}LH=Fb5=kqoU)P;RoTk)hT`A=?r83X52I?z@GecYdl?J zf8RXhi9?`Q2Rx+3$UP+7i*>n>T7dfn`|#dhAcu|x($L5Azqh!R^Uty07d#W@V^Ed% zTLR9&Oxf9=LgbkEfnE&s}OKX&p4Hz(6-z+BDWoz{9uv5&g@& z8B6o`qy9W!5rh)-FMPiCUgJ*dLHBaTexKvwuQp8~sNn`QpO>yWrXP{-%K4e_R~7*0 zK@PB#Y;v33wrZ6^+%*H&Ib?a{ebgqZ_*m%62S&KY~`A9QI*44i2hkO$MUorC2 z0G6>?m`RMo?|3quPB51nIvbt?blsD!y7N(S(&s+<%0f`JU3}IZ98B~LuNxy@4%lng zPm_f|Qw+VOW=3^ZAlVziRS645R`5oqClIyU}s{Y=oT{ZXRZ?ouc z2DgdVe1K^;4e_VUh$mN!)hdMr(r|#GqbEXl#+>LL_}s9jf0BhfKG4ekOR`X7-Wz`i zKRnjBA6CV@jvE=zMCH$XA4L5x7M&>m342UDP0{dMu^*<+=v!bSZ(@zsd&!?S-$BhVH%)EnWddUxn8S!LDgQX(PE1`Cfu z<8!Vzo0_#x-4;w7-?tilpy>25|7JXze}8va_IO1u8x=UY8v(h!o!DNOk!N$ z8pJl$`>jptlR-Vk=S2nNG(F-yS2YU>@A=S0V+8V?Rz1PJ%Ur_-@QY!5d@RkcJeQ}; z*wz-47e7zYpZq(oGC>Ug%bif@EqPD7%}wi_Mwp*4x6CI@-_!e748}Fs!+#UF3BbQf z;Echr?9>vz{k#`BA5_WE=LouGncK9+e2n#+b&xa5xw2z23EPbP`8&ZMLtM#^J<9Wu zP0(j?J&nB~@2P*w{69W_i7}W3CU>1=j@Q`}{ue%2M+eZg03@&OiO{`x3lF-t4L8)A#Tx~ItZ zqeHCcoL^?tVjMF1mjcL=M=z>Os8WOd7DLa^e9>Yz#F{Zl156lDXu>qPl@lynquz$Rb zhvtbbb0&_3>f^vqO#$b@vQXExq3L^tG?tvsZMk&h)!_LGyf2)GGUXeq`j8T_e_@Ud-j^B(_WrY0Ds7iS(@r^9HfHhP zHOK~kjJdBD3JjOj5`|S4y`@GKo++X)-tLliJ^d$6S z!b>%GmHz)A{Oof7VLrl~+LTPZFTe+{NXC7`;Ix*3bQZYWY3O^n3>oQ|M_C+D);*jc zmK@~S*`mJK1u+Ddd*k;va_Kblrod_WjeYl1g5>?Iu?!q0=9Hf@sSgw9nE24=6dOE$ zcbeoN+}-A1WE02l9B<=G16ZhiBvko8>yRVn^vnC<&%sY-p5KEsLb`B|!{528zhPUv z`bFUDWV)Z-f+B-C(SLU{(~)*aS}P7FxIEmeV}35V0U5EnKaX{%!(YP5Wgn$E?$5?6 z2P-t4UNQL~-=sds+9WwonFGM@V?EGTTl%Buhc}_iF(1Q$Ij#l#w21e7J`cQ$F>BU# z#=i2xXE+HuVjjhH(>_0%!1}j`WyVzIiT&V7pK!rrSA}Fwd_PBX>}z(=@1ZP4ISWU^ zh*SIuCKsun9{r2teS<$Hd`tLWQdzKVF85brFT?BaZ1@X*Yzd-KAAiE9xZWlulRyRe zcIEj9)n$+LBIe}po0Ci|t2rGKC;X2-^T6q4J=FSALpTwaom9VU55igllN4vYw~~}cu?%&ZGrq3Q<1&el(;V!xG*9Y|@rLoEq1nW-)V=D(5w8dQ zF&~qB(-*1q=JOrHemm_=6CnVSOC>-(?KA!~FeDDIe^`25-kNLeDRG?GwOLg012Z_LV#r z8V)^W>X!e`MudjbSl*uxMP3pM?am{gv=SQcm$?Kr`pX|XC#wExN09WrE70%HM)`9L z`efEEY}k-1KI;m7ijCgw#xH)QM2F&G>+4v2dZD*mvjJuZYQZ~O6=)l|;~ z{|jSxvfj9Ae#eb?x*qjspGD3|)n1!BL??M-)cIthOZ{l4@e?TDm3i7_ch_P8xo8u>oMO!&(Av04$hJn zA0C=VlB=~hKy#l-gsgReI4rZe%{zSXjPI*NG6e$U{y=9tx0nZ)kPUdPjk z`S^=hml)!MSe&gnivyu6;hgOW7UApnZ=OaCS*ZBPTl5rhHIpe5WoZQTI60tLbvbRN zNaP%jHwJz=&>>py$Is1s%(sOGWbKc}{e`-YbD4dj zsRn$fYvzP#p0k&Y&M_YM*UzQ3qv#J-9xm6LUFfR(^oQ8rG0(M2eEA&hmLYxkH}Qm+ zxU!WIfif?#O|?>G+{e4xz`xHyH-p1*!PR;$* z2-F<6;Rn))aT=c`xT^m5YwTMYlyxhSu1^0q=2dBd!90Qd+Tf%xFy?Tu@{f`8;Gn=h zLYonp(-ypO#C!dIJ(3vzQ~3LM61hPa%s+W<7lnOg|CXs0P8zB+tBHEd1I889V`4Ap zn;^QUs@T8Gfu8H?e-{m|OJ3c!5bOJ{BhNy7S5bb{M!+&!m5J?>t0(8^ zy!I{neFl}=#nP$AAUg$x39o5TgCYa!$sKX%rzEGXO1bYC{{6XZaCk6L_Oa7yd8^*A zB7CL%VBYqVe#oIkCZ+wGdt=LD_@hzp+qVF(uUGipbDzUsi83!89AlPW-U5e2@&Y|d zjbS|h01pZ z^h3TFFMe?TRD|s`-Sv(kKCbH7%76P~oN(jMqE5-iSkGr)s-E|=kk^6yhc3I5WUu`3 zVAc7~00&~(AT(CN==ZsP|Ivr+xvzTwelpI>y7TRn!*~}t=`7@c9!2J-gOMi=;chL= zrT4<-@b*R&&Ab8uz|>%pF?TZh7sQhu4(m_%5IcIZXC30UdxMXa*tR;x+Ldxo{_|={ zfm!o3(7%ZO_PblkPlvx(_G$Kk%BR5IhV^`li*iZoHT!Tnvv$|UIQXRSY484`YYc(b zarOQWxg;@CE0Dj+b=@%NVYn~{S6TFjKbT|=W5njtQO>!vDKqmR!U@tSI&y4ge*8xLs35?Mn z;KN7`8tO6OT(ya%sT{bH1s-ewA5aAbXs_gAF{$3q*_%K?|M6;@49V}!sGLE3{iZoW zZwWb$e`T}!P44*#_x^q3Oyan|2FoJk^NYsZ6mgz^Gzmy1V21tvs2@i?As74;JXpyK z#D1Uiv=YOdi0xfHczx^ROq#zXr8 zzf7s;reHolg1Ll=B}Qi~T-!Ql>%6^e9I;*S#itf(8#?>&i(gae634^M_SQY)o+QmJ z8HPFv>*83{Ir8@lO;eu@-WTD`JV7oT?=e#Bh;b(~pP=7Ip2x5WINxCt{pEe35s8?; zy259X{@}0GlabB{%_<|3y&E;PGROPHpx6?Vn$7cQW7K2aB z^~2*L<#b~oBm9{cQJS+@7EB4tkz^9_-jG=68U59Va;=W|Uwf{%68Vqsr2Bz@0PLi3f+-DXVko~zY`WMNud3w>1oW@rclDHF>2;rqQ zKjBwiSG_P;HDg}ssr3_h7reLJP}M@%zAbMN-+=^Yv>=vZheB9w7p^(m<^qF1o=SV* zzhUDz_L9tJ4S`>b1rdny`C%k zQ#;sbR@ZYBA74xf@}HalU~k+_dBXAIl|P#kum1W*#RlhRHZO@M#$9jR5-5DiehZKr z16*7Z?l*MDQ-19Y-UZwn|8}>K_&qnq$bMuv`j^d!OAcv}NF&)__;nD;coN(J$sxaI zqHpdsTHgk|3$f>Zeaq;^MnMbsW4JFfM?lZdxmX|hDwlCtsD4htF1nY0U5)T|wfORM z8r5U$I`W02Z-(9yU#r*j*NLhNo=|8oZX>M@{4abV{S_?tfc-YJa=hbWiQC~@&E0hl zUm8i<@FGt;GoGBs4*C0oPtt{_zGM{M7dE#4Xiz%_soR+}7h<-p?w1E8h@NwtlZ7}} z>|x;rV=QFuo+rSW;sB<{;i|I=@}uj#&ICVM^);T#mH)Cb$#FhAM|DtjI!J%r)IC;!jT{uzwa&LwaXC>TS5icIMnQWdF0$iCUno%(u-Wmf5um z#rwi}vy-9o5gu|6sq@M6ERm?(1 z==qr!TsuzY+}T|%#Qe#u6RDbOn&~Y$AIn{nLY*vJO5bALTZcIaH*m#g*@V-^Jm|d-vF)T`WT^TwBV4EybJBlT zR3p$)8lAY5CUt7fy{>cydf;NrlR+&>{_lOF_T>kz8f)OMxZTK1wK%vF^_cv=pW(M; z!3^phXEs2&xKjg+J6DuM3JI(VW?iJ7V^>DnRsEVJmBaA zo#!;RXijH~O9tnFd~mkhM^_eJ&U^RM^8$RB$A7_i+8ugJ)`uLfOe0^nKWld`NBLR( zJE;Ex`7{x1Sjd6DQhXyt24f`_p&sK{_NM4lWM1W-A@if#WfN6r4bTAR4fn_U@`Q8N z!P#K$sOg^!0`4mQ(<#_9a_~q!FX1u-_DfbjKb~98F_;S;Y&{;t9w{|?W4(31ofGjm z$y%5z^JkBy0VF=0ei54cX7o`0Y$s=8OvKwT=*QS+zQ%*rRl}epF;jEtmZWQrciR#J z^4rko?Xz`{)G$tYQ|=a-@AbWqN}z#1YB#}~%n$}F#QU3rw7s%y0 zObJROZY%7*_R;s}VG1!u?@}K-xp$ttOP0LXtS{l)@#Z%ZJXjp`$HpS>3+>7fyf4Cg zwj#fq^^J|*8^XP-(Vvd@!oW7Hj_4<^EVOD)=&i1_pY=mW%KepR-7&qr@{QMf*j?~zl|m<7UaWb=c-O>QUdK_{Z#iL z(aT*3$fMm|uqgc5L`ZSjer9s6&ef|H8L5RN6>vjN^#k!3{l55i5<*qimf)h? zf%(-4$Nwz9KhxB2QtV2s58rn*Ui}NzlFIc~MF!6^Gg_c7VXnmoA;fLnkY6#E=K^Rp zc;mdF>f}yvRmAu`k5vE5t?{ZCp>*W}B$$Zli2g-}&X=*@um9D4Ji@lJFZ_Ofg6KXD zbpQ{DeXav98r}#ZA9dYANwD42N54Oe7oX547bB-F@=lrDdoM?NYVKmQDzqMQl17fu zXEHA)y92Q@@8h8#llNgr20`W(Hm{*K zf#!Gg_6KH)00;8kGe6T%B+{nL}%(lkibLcO#b3ws{s$98(bAB#GuVY6yg9fnjsALe*-$ z&Gg4j7^>VuL=O;f%Pf4i(_3SSZChO;+zH|to0}g-5y!**`|o&?Imw9fejoLZyuVe6 z*e>;YAoTPw*YrMTOK^AE*ql#LKNsfel7|s|!N9oZv&nZYTF*H~h(BfOQ9l}behwzT zFAU)on>?up4{Cc>p~|ce`NTr687Td02hEARAEQ1-%pr?SEXXf1cx>T+&P1*pTsOj- zD#IAFAS;9LrG4|w6x<)e)h^d3qu-V1x~{+Y7Hyyt7H-wv2+@bfd3y=B%57RQUFRUt z@o~y)KbuR(u_ils_O2oPvW8u;^!Xm#L%Blf&crs>s2}t7 z`5S<|4h+f%|CTB9yEnJeiLvGrwwD;p?@6DQO>9%0g}&)cg!O3~^e^s_2ug2~ra9G{ zz4d;2mPFO^t8}yGA#av>Zrj1(=G@bnX|(Pe2z`rvMDJe%dVbmWOthoE2~!#-MW7C6 zz3T6Ibe=i5?TQTUgXe=61NC$Nmc>!@-^t=M3`&53{GiN||wwg!q1?Zhg~p|LlqJSmTe8^IRg znzQW!?iM%5so1|T*XvlW`rc|Jl9l(q=wF1-bqrig^gG!VN9(>FIU{UC%~)G(G-U%M zc;l>({B{=RjJ&__MqUyNg>QmC$efK-7tMFMT#Z0g3%J`jT|dWQH$u!>%9ff5L@a-8 zmn3}U&a(>*@mYCcKiL@xh66&hk1WPN^XI)KmM*+KRlBa(BJBj{yIrrEGyf3`RJO*Bi)Dx4DC(Z&&+%Nn-XVm}~la0BdcEl8gU$93I z-R@fT0d(wLXz;wfiy!hm7i<9=VLpa9*taFW^iytN_d2?_`QA#x zvuM_hUg9xH-fyNYz?VfGN1izQdOo~q$UGkV%2&KUY!pb#R(-sCUnFvGvB2wte!e{$ zG**WZwo@IKLsu)Zvyy1K25!LjQ*%`>FfM_*ad2R}AgO!bK~EuEtL-N0;<4X%xHVVi zYlU9LhUBKZJ18fyb2c#!z~z;X@SRWlhAKzN!-Xz!4Cvx&^k$*^$b~o4ltX^Sl^BcF zc2_(d=A2>pD>=rrb!?Hr@~%qIkIB5QU5MsR;_u6I{8r$@9Gl)?@Db#_1|4m<#0z>$ zj>o-oalHDTI;KniJJ4hzgl)hGf&QftCSdhUB+t?Jwj>-|yf2~)?_{AMsI6bPUX*^U z)^E6Xfp^~h0KPi*t4;8ucd+pfK|LmO9`O1mBi?R8L1oEn4Xc1$L)HyX?m&#MY;-h+ zSiaYHdYI1dx)d4AJ=lhN?5Q`1yY=A<`}W$PuaRfL{N37bCTgzbt6`e^`Yf4Rv+jHs z_C6nC(uenj^TX06VQ<2PTpcf+^Li#zOZL+sw}|KdeW8aD-A>$H;|T}hRCOZAXwNnS zUr~5UP61>A1vL;pxF5bmu;3F+GFhKj+gbc+e}UI0&&6%{_ZieQC6ho+>Gt;z>6AF7 z;nUX*Voa%G)5ry9jlcB znAaGcCjG_mMLv>KwD)Zav2Dnyt)1q`G&GY<_fv}&p&k>y$hbo3PwbIfoC$o9{mdvj z;Q<5GieSQ+2?n$G#$e9Jx!g~4+PvxrZ{j5UY5cr7yL6+ZmUyG_{G8^#{Yjj1@z&ik zo-=r2GxA@M3+4dc#lHwB`WX4N?BhTCIG5hNg>Yy?nCwyKU&$d~77*Q!X4UrOZ>Hr6 z&!ZlEhdfs~+98O};5ls0`&lkf_nE|h6R{9~4*uMdPQ}JMKIVNLs5t_@A9TxB4!8|? zN(@2^4JEmMhPo&xKD-(wu&?kh^e@ejj0xVb^dCFoi8aBV!{)A0NT`+fF-&m0FmwHWWQ ze_=pJGn4voR@+Lhu`}|LRsvhF4RgY&60CaBVE)3_r=TBXPS>+=<>bxuqq(g=2kNKH zIL+L&_MVh1gNn+;W4_LHEF`(f^E=SnPzZsTU&G)v%vD&n)MQVgfi%*!m$#YpThg(FZ;m{Jqa$kHjid!Qq0VZFZv_zAc_aU8%m5Joz2c^BeO|j|8nER&y?V0QUC3m zRQ2>I1V03Rjv=X|k zdRu+FQ89Ex>pP6sJcu6g<$s@>Mjiej&_9a~%^XObSs;{em3@OR^!%c`z8*&PQP7&P zuavsfDMsg)D|3}^vK9S4u%)S?K~x(H#E-!F6CCJGllY7Rmw^M%JfzZF2HQB#PIJ(l zqlj$vWkR1Ue8WYd1oc*T!LtP7<9bn05>1p` z?yH9AW&TK}KKDOMoAxqT^JPom=ZF2G^TAlcG`aJ7KjewCuLk-tzNYrP8Bgq@_!RY+ z^h@x&w8Hvr;~PWyg`Z=;FGl7Hns)@gWghB=4%oNZNRT@AFIdDMDzGS@&^AK#Gdumr zgMBzdUl|r_2X_=|J2?ep48$`Bf*v=shHD+HrtW~kn|r8glS^h!=WGu`9g_s&mss?M3pz1b9@`j>uQIv2;j zQh2(l$oIuPG!J|j@iSJtYp@;ZN~Dw2v913A|B87Y{sB~#7j>hcL*uz!g&z9zG>2~) zJ|GwPUkYw`TyFN>Q}bTG%%a+zTFxC!6DUH2F(n4$IiIx4)^ng6xHMRw?L?jhV@_h* zrK#R=vA1w_eBUO?dD9Dh06)*qHi9e61FWyW^{aG1UgD-)<*xga;M{N>9yIJts%?7ZVBNtt&_E-M?p*ouP z>YT6rz|3x%i?d-oxpJTe__-Zn$Mm^eY%F0Q5&Gx!VHjw97pS=d-&(0E3dS81^C%zj zsL3COs}B-fM|q!oVu<6_TkXo#J=F6A$tNh98YKGa`tZLrX5-3xljeEs&82P}aEN^A z4I-Sy`vSSp&y%v1GuR0^YurF%UkTb~_U1Gf<-z1FFqB>AN?uz%q^*R;t2^fRC5*yD)4v|$e_!m(8; z&6(IWeeY6veq~NidCw<4$kOLy>IC{v0vS+`@kJhzO{Khe3XaoUohcTX+idVnqbr;r z@Uyq-Md~Mu?zs9&J*O8P$9xwu;(xzSQ?75BkMd5Sw?tadpM6Hy(P#bPRG(;;b1$V7 zIkl{lYktjGJFeBO_9@770e)xO-YCr(s2)NV5hT4g#79=#j}A;7G^GYn^^5ju=nz%I}uw(&o&@JehT??tz-K6_2?Z_TldE-?0p-_NFk& zcWr~5Aja_q{SmG8!<1Y?3dfZdstbl+>|^#xLJuRny)f}nO1Si8_&!oUh{mEUTR3r{S!ywIykS*CC2d3BY(}y`5=NU7~eEn z+?^T-K;KFFx^Cn0m217+Q}Z=bvP5V0NyiD4zy`4AcMK^s&S%jqVBp7WYUldSQk7;%# zzkOc64((hSx%B-`flx*Q`~P+LXi&5xccQQRR1>=b7hs-~T+XSD)T@HMy?q^EuDs zINry^m4@CQY@=x7J038Q7h|5LDNg#5f9_z`@A!p_24DY|Z#63~{YI$tD@2V1uTP9l zrH1gE!5bRK0O-9HN$k}3a+II3u@kxT3-Kh9PRv;q-R6rCW&WoEL*^OyrO%=T?pN^o zIQI2nUw3UCGXe0U~OMmvEx%T@`9(|BOY?~MlU0ygD z4c*1J@d@-wU@iUjwT>Z#p9Zv?l1q;{$9}!oka_cbJ>iP}uqu}%KK|TSc}CT6A7ie= zY-i06T(p&5ybSRAq&Mal+9jEx~I$cqFYSQ`Y&1d#5W$<$UL7{51cuy zhZ=0ao(b`Khx%6x<`WF>Y@zQM^b`qRHt!crfy8oln;KSBvIr;1_ioy|~}VTZ(gnGMdQ#+01pnEr4M1_ z>rmC5=KB!ap|ZH+k>XCZ|X%w-QU4agKZKT;R-d@K(m#uU3E zUnzgz7!xtBWb~jI7WzY@Hq=_d{(&jtRhFq`QLBed^DKP>~Pvm{Zi}e60grY*34IK(mF?K z_40VrsppbZr|B3=u-l}V8r?F4zc)XYeoDd@YXTm+T zu`|+14dFMLr4cw#W??)fchV9=sJWTdg9_O5e7u*i| z{?F($EO#Ma{Ya@j#TRn6S~js=t6*I^1qukVSp23h24~Zhir)?1joc0QzSc(n3;TWQ zf1RrP`4#Z{;JOyt&?LO7goVmc8M+VoEyOVH{*X$C*WvASl;veaNZfz3Eq>I*Ey-N_Y|ceE-;_jWTnX>aSBNX?Po3(CJVQ_-sH z!*AIU#;Ef5QfMh;m^I*c^7Hn`p#<6i8$jp2$ayi(3->XM0afC$7dUG{QA>)K?kWFH z)*jQ>Ho}u1{MIDB#xCYXTv0a+1w3W ze|&(`;g=9T5^{gXJcn%GurWt_@D`3L>)*tFg%9H1akQcqZWh%8l>gBfdvL}BEQ%s- zV>A+T2`Yhk>*qy=hN1~ujEvAZO1B^2}(VJTXQ)6C7YR}cn5Mmm^ z^QQ#{*L3atDoT91eW6QAPidPB5^UU)aq4R+!u-OEm1`!=K~C|}KEl%(>Ms}_MxeGf zE?2{y0$=UETBV&y_l(vtR0%*%=EJ;;WYXAOL-f~;^<*z|cM|T|u;Dg4@2h$`eAnET zVEeVRa&oe5rAKT`Jnk~m|c%%j`wuXy*THzZi^n_t=!)bi-c^HBv%DvS6enrZKk*(E(95QWLQQ_jjPNK6P!TfRowVTgfMyPJ&U1+fU z>D2=~UFIY-Q@{Ii_+hwq@e*|YtIa@I12+aZ=9TN;VczF?>Ng+a_36Zi8H82~zs^&` zXalg#PrADcm#veJNq9ZKHH?w(dYjqE`!T>^&s{_0g(LN(7b$oyey`a6eSGXIJoZfJ zN^(yL#ry*5_LSAO>R*_UPpo!MFX^G2?lV~gtcGjg=ya+-n2G7d2D_i#4`wOP^I$YB zgn_3w=6&Ye&ap~WKVw+g9CkTD`sJsDTc{;~HHW9?N#EGQkW}rNT;@f4t9*`b-xTV= zMGybr_cEkqN82{&nMBWSouB{5hq(m*-FIy)gw{)^hhxHZU$7vMY#_xius`Q-yFTdXt*Wpq3;WOf(RB$Jn zhu615j|5^2@cqmL&10@EF!;3{`;$rUcbH$;7H}AOG07R9h$PVseVw#V@bhq4b56BR zCdS-#Lf@k7OB1l4;2H*N(p)z5O6dt|YNL7DjdAo2$KWaW$F6Xp;IWHFO!lmEcDv1b zzr?&ReDlRV6v73W*Gi3e4#t27!8xD@l`0YE5F38T5&h#*_0GigB7gfvsUP~w5hOi< z+2}`SY(oX?w;4o|g!cmex6gd=o`9>kW;M7<_mI^5!c+D!#hBZK1B5&>`|5ISGU*8S z3B&g#`~l>}a2p(OAq9OF;Od#9V<-#4@6-didT#xE*FX*2f4Mzu=^q4khwsa!`dl>8 z(NA>qRW4!5qnzeUnQXv+WJ}c>zH7T{ZNBi3W9Ri$AKb}oV(i%EZ_~+}_XKx}Weodz zf0l9++rhee&{V_-sU09FT6K@j(sWkaX(^D`&kB%SNSAFE z?X|xhMF;aw-|^wA&3|YS%CLNIP^YI z#9QYFX-?FafuLUDBz%9&b9|o)@<~(OBrA#zu)nB0DOblG{%Za)J+#(dlZ-gx7}*2( zS)AnqeBNN3^|XcH^&#dRbUswMEj~V!%KGo=QbTM2+2BENt^@utw6JAb5_7aK>slw_ z+#T;2rM}p2LkMCB77Yc4oKpuQg%jo-1l|yXlWj7zAF?uXmOK!adPqKI8SY~S1E0)3 z;sb4h`Gv=*%*Zg3I@jv%I(iNE>5 zAo!DE)Ae^Qr#&*raWEhGC+wLv$wIi$IQPPJ*T1#F_2QgnK)CElHjND=eoVd%`e;Dy zshQCm`!P1Ce_oe(3vHT^C%NdUD;>pe@fiA?y_O+Kyn!uTR~Sv zZTgIfQN%SQOTBXmvH*;cHw|8IMiTa8+zvHnugoq zX8Ae%miWIlALgiT^5B9Y&+Sz3fPs@-dL&eRFP(e{lw~wPlp3PLrMXfH?6He~u1I(s zUsa9C5g+=q-JO*GQ!Pq)T+>4c%P}~mz-s_k;N-bT3g`bD;z^sB%LJe0-@TzMLVuB7 z5X?2gmAGKieQ!2$YCL%SmO*qhBbCLvdQ zJ&@BCj!4S@;<}~@_7>?yUNsHkcZ`j*W(^qT+c`Iuk$JKQ3wEKdvT|~j6R_S_^QrKW3h%kQv-SjmBeN8NvkzPH3AUIu zMp93G9(s@0e)d1%=jR;bk~@ZQj@oCD_y`IBp_$f4z(86#Rr9$%o+Mmy%rD&U z9p!70oM7F|JjqY|gZD+|h3UvwGQZCzg~GSP2zuOx=72l(EEua3ThWYc6;o@|7%`$9~kDMSvR}Kn!w)Z(YI^SozL;@GejX-z>^e{#-W? zCDD+-@uDTf=>9R|rXlr@g)zF``TgPE z#_Q^lPYt~nxvIQLKvei-4hVUHy1x?CR$Zr1C0 z_}8U|=nB_db-&ua61^V_P}traasrNY81`e#Z}_qg_Qw1oeGDO9bG%(vU^M1lP5kxj zdG`<97~?6t4yU&8C4Yk8QBsEHo7-Wo0e1Wf{K=f3e16@BI6Y^)%pk6@=rtpZY`8~$ zh`aO+4*{=_)%+!0!PCO`rFbd!n^MGa*I-{qua>sN^>Lx-xd0yQ{JOWk^sx=d4lS`~ z!+LZk_Q@O@`SlOzl{irAA^#%2szp7CZP-(nWGiR+%XCs6?j3{o?t9|1bWeUaS~(C- zW@5ZXb7ycF_R$gzp-bN~1Usf5J=kTh|oj)AcAPJjR#s zC-a)OKJH^&6TBy~(0GVCs>^NByTte6@!|9z`|OVdimyH>4SX2R1I~A&e(b|KURU!P zf9C1$;~PhE;r>MMgM@E-Ge-UQ&?`m1cZj7AS7y|kwaH&}q+vtzC>aCh_meG>vu|2E zRQ`HFOEc9d>NsoClX9n zYxusoN6ROH_!#KVFKBJjMddFH6A{zf>G4y(4upFz>UV-zA(7%J*20 zK0fiSd8QH9Irkb9rQ9Z4QcfHEG2DCp{SEZJGH`Nz9PxT60{Q)1(5D9!Trlcj(P`dg zrf%r9jQS8tNN?MOqVHAuwwt~(#24^4{4lVkU5Tzl9J~DOX;~lNrcNZEVffbA{obG# zczr&fteov!VDRVn9RB&Uc+i{x9_&wXuNwEwP~QCZ44VEu3KF3Ef8gi2c_P7u^&p~# zujCyr+GeV6ZbO)IJd@lt4?n>~OtBq12{}jfjBLM(^Mwln2bUP)L!M$wT({Zp59~9! z-?p!x?q>tTD4t)y1NLiFNDIBFLV@s^sg>bD1OEfR25xLb9IQ&as+{PcAaPGVi2Z_?201fAq>< z`Xjre@Ad!s&G>ryhY_m$G!HY);QPzO2m-zG(a9AWB2KLb}kzH}fv(zPvlIFY_MnIQ=P1Xge<$J5 z{Rw?PnE5&rLTEqi0`7hV2LD>_bVDB>+nm4jB#tjV$NVy2G|0cuU*0!Bz@oe-ah%Hh z(4@Jz)jkvfFzSU%8N{}iSz%$swOxO;bEiS5>l+IFh3g3CUX3A?KwXjX_je81 zbMD7nf_zxvtFk@7Y(MQUSrA5y%Z%Oati2Mxc69KMRMp(n;tI-?l`ajR7dTEt(75 znJ4qodGPrq|9#F&`8Zuu==cs8B#m;^6o%an$TN5VBvNxy8NYacq0u4t1kNU1Ud}a=~(9n%Pup_|7Yqtq{Q+|b{5 z{U~DFs8MJwT>MMj;s{%=`WtS6=ZdvX!QP9iugo;-+U}KQ zm0qK!{FkE@}>| zrBL~_jWG=5o-N#5U5(aqyGEg&$O$K-anq zvhl^-&U?KP@MTHPz!iIE{$8y0l6y}0#6I){j{h*cFYTMxrkM!ofY)27O0p!+O#b95J-T{(f@=9RaBN-|A-ldA&uS zIdtitFc&sNdLj$&OE0{J^9KZI53DDdE zV87J)1+KKMADRl`Pv&)n5B6hTT;NovlkQpGq0fnfgMWmGZ#aDWWdk*V4qiBSgqu^# zlTtZ&UID$xkk1?gGiV9$Bd6iFWS+o3)@8Z4OFnXs@cbJ(4fo80ODP=O{_fg490>md zKWHv7ge}mKqWQV>q$@Wcloi7!v1hpE(6xSNGg&jA z1iU_8uXoA?-xAMHgI5W}GW@J`@RV?mX#ozNJU7s3rgBl<0Waw%JK8dZxHjR-#B%Dd z1K)E)P>;6%Wgk?~xKQ@3Wz9PoVBGkw<2%=Eod2TEHNkJ#|G- zF~i>}Jz6atRiFPcN&67j$LPJ~^$kPr&u?Q?$8_+g9Yt;B~F zP&Xv5UUw93g((zwmSY4mR{#OOOkJ&*P3cKy=yOn0sQ-_nvbO`HjnQdu#oW zTbB1KGWfNueV~lbpOCG7*V^8C-#G)m!y-1zf6(^&{czv$-l3fl(+sB_Q`z!4goJ(uF*##$vSgqZerH9uHnRg>?bvo z3GT|wdtaxiAJempmuyFxZ-d^yjEnHP*(mpWVH~X+y!iSi=(gg6dvd{${WARgtM0-O z{wh@WQagO~?{D@>xx@!twRhFN5{YeZdk$4b?bRrkPRhmn2>%#gz&ej0KxC}e4K6gK z#tU-|S{pwb-4@)}Ab`X$@26vt+i`t{a?Ze6;$G=Y@L|@mA-1Zo&O_iS*)xa$_b7SK z#<){!fKiuOOeFnMX7Ku0SG<%<&)~M498h8imp2tWSj1e?PlCh9J}e*fS@6YpB)GDO zRjvNknXnb;^Rbm3?E?;Q;EsIpw><0CQ~Bhf+1ghXn@+ER3u=~HZ1BI%Y5109j+_%M z`GRc$X4O3gm*p$>c&bme4RkfmD?q1bzh^V>Em>|K7@kUXcn@#mt-Xd3DcYB^pq%y& zg3r%A-aVJY7a#_sLW5(OfAz3vZXff@woHJQ+=Gbign_-Rlt-}Btt@v?PkaEM--0in z@Bf1x=``|GhxR1to}*2ya`9Uh87^$d>lv&4tnvQhw+auwy_qH#36%C~7zE)vviE*Ld{QeaXO$y#eBD-1P@~$l1_lg+4y0t#wY9?I#-- z8NA2bcBPhb($I4tePlhoi9bJ%HHQ-@&ix)kue{842o(<^~ox5aVS0 zD<`19_&a;om;}-9en;M&xwjwiofUqsXCQGc*M}GAnFdZc|5l{l%T_rlugL@Z_}jCK zhjd7mp7(D?f%nTX*3nTki8*jxNOQ>PQPhA3;TAU9UwAQ&!f>G|vNLPHS@fR<_jXkH z)l3|ZuMOV_o+`_$$3C(!2F$x}EHEcHhX??`d>T!q@59xM|>F!+2M`GM##hz)@^SOb5PN?qPC2 z5G_67i!aGod$s3foicRpeiI;dK>#d}nY{=BJV^gI2qF6Z28q zFGwN5jO{F^Jd%ab**NEN$fErU3k#)}=fzNq@|KT5KBj3( zJ+fdR%dekLTqpB)oFg&D=Ht~Qy2U+P;Pdg=h{71-1J7||W9bI#BisC?Ke{S(PS$rf z*MpCY4N1x1IN$;@cp`GR2{1n0iBSLHom}Ov^oiFT*6RStoAs)M-g92uIE)rOGZ;Vr z|Kle+11rD3X>F>6-p;`&~O6G^Ke^ZMdCL6 zdy4Yuca z@Tz`p+IP0IuI4<)cST$K9^bG!J;+L6Zf&sFj!nRS*T=}kF!7S zW89~`a1MNC%vnBj%iw!Kv%S#wnOlMW7x5*R_a-bYhR~K^Y77cb9@$F|NbzCxiSs$O z9P=Ir5!yRw@8cf$Ef3uYa2b$5T$4OzVu7^rK7nqR4_RT-r-9Pzn0yNSWEPwjL=t~~ zmx9+9oQ9-Ii*RBb(#E$*%FXBxz8qq6d2Y}LIha_1sAg4=n=t>g|7Gn>YvHm@j*6p( z;1b56-}o40Y}-TUjj+iGb}Tjv7iVN)sPYeH_)upa*pHSPzdOL#6Y5G;*a-SZMMBF; zmy>-l??e55f7^jxGu{UIN~udI3@Ou_(Px8P%TU}8C7<=&gMe?n(8{W;$D%*>Uppql zYUW8;GcQiAkw`=NZ$wX%}=YE-toyc8+1G3%2Pxfuz!@?woGAh?u&#$g_q666_qt60(f+@4W@5JYX zT7fGL{myn+y7uSQDmGY$3%r=6_o29G>B(+_{Lmm23yy1(s$4wyVUj`F`xkkG9?Y|c zFW>u8d9SoB$Ri_Pbk!@BcJi9|p_ls5dZ!Rn#fq)JE+>DEq2SE3ueO;5`F+I4>-V`L zeMyg-V88tM+q_@$!>RfFmA^l&7$m(QfdN+9M}s^v^EY1KLw_auJN|~gFMCKEN9hZ* z!}}s!PW15!e<1#*`XB4WYJR$|zwq66xaJ8zEgpM{>EP0&IfQBtU_Wr_S!WB4AY@E~ zui<^E2z*@dyg2>&ObVa}ER5t>^!zIT50?9)zK74u%m>vigK66Dj)2e4H41UrG>5^h zm|uiXbOHJc`+7r=-}eV7?Dr}pwSkLLN&M|K9kd5&N4)B!{S)+l_D=6(<4a81+fz4? z{z8xYg>&G;a)1E-WVCVi_Z;O!o4DB0K3w&ga>>eR7?MUWQ?c>xU)GmYM{&tN;r;2( zd+XXZ#Minr&}I4i5DP9Y+t1-JHY7K>$t=F8QKg}jF%3a=@GdT}-}`N;@!eNA80Wfb zzZUxVB%dFfqdd=74)Q%cQd;KcFE>K<<%$Ic(jM3Hhm`ea)<>=>bc;l~i}}4-6<^hL>t|};4)jWyiz3~HH$8qF^eM<8ZSlQi>`Qy(!s-Yx zwZ!nr})nU(kYr{t2xDn1#!UA>sj>QAuKdwqUBum9A*~3*7J_3`h7a+DfztU)~W~C zuCWLgur2179B=@ipE)~06D_nJb)<0z z3k;Sc{NcBhe(9~@B*EssK?E!S3T&?p1QWOR!JoAoM4->FPZOIAm*Y zfUCFq>KYGMt~u^w>I<$)+%H>gd#d{6JsmU$^>;k|0o~))umpmO;P$2yg$CP7eZhy} z{6L>hfzs#H_DQ1dA@)TQ#}Ta;IZ-tZA`S>ARt2rwB$M;(lR5pzmhqIL;NRx~!-3Rq z79XYk-S#%Rr`;7N`RWf6zy9P( zw-HOY?Nx~o13WrqWsdsmDt00h13QtkLHfO8Pp1)*D|xuHzz~jB63#ac>N|K!9xnm; z7tzztWvG8(h^P1)4&wVN{Ax#EV)?7OOD2ha1AnsQUnaN{*B>8Ufcp*uc<#i=9;|&8 zi~29x-7}oHn1aCJ!+rhh|8j}#fG2nPQ6nz)-Ufd12squJIMY`6z#pN{g7+t}^Yiuo ze4~f(b+hsPlbV$LbmiGu7aOdzF2?*K_s@mV;={GhGShwT*$qXm1@nD_*Pc|B?;E}* z+7C?1Ma(a3H?Z8ulesN8JC!zb+|bEee3$KJrs%z*VtI1pfZNP64)98g-c#ycG0wn9 zF*6K($$VfH<9%V>>_|{q|CN>8>-)cSQ=Z?3dXn>Ty`85z(wB}@QnSJj|DH`!-)?{8 zktL9F)4*XoDLf)p@3r6h6JO6?$L5g-fDnD&qd$}9Qgf*AQykzcWV=Yzvk2n#&fc53 zw2g}ln#7aXMqUL-E@xh;MSQYL8jltp=T^-7!b5L{K0Yzv*4DY>w`|Qn1bNGM4J#m}lu73X6=&$7cG4kk)-}u+rLVE;AULxP) z2D8zFgn76C_ZW`fEPLyxd*$LV_0xaqqFmrw^`&R^?ACk|9(ISGnhRf!+%a(aFOWwb zek2V}uRHR575gEljF@7?p=e^P>Wl^0FEZb8aw=U#jc#lcFXdsRn{@AOoky(Oym+5S zO#wD&wj`DA1Jj)z>8I)g&ZyGx~=h@mcE*xD+Z4T$1~uM!Ds4x z`BBnqOkX!}=B((vw`fw)*C>v-S7#xwrOwzYC^=Te;xQo@6d~ zTZR6tku!KGc%VDsLTq@VBS9`%&>QzLUfX}&4g65vw*?d!%r~C`U%LZeSStkTTzV#v zYBKn8dL*IEBI!c7llmmT3KyN*7WXmkZ#aVd{xe)a~g%9(`zBK*vT zIdqnFvV9KnT73NozJ2x$&j_Ie39J=c2GZDwg+9S_V1B>b(KIBqA4i=}E z7|{&$ve=3Kv+^GN{1*Y_UGGQoJ%F!<(->8c;(TF)^#(g)JNIVFSN(5r4_d(gX_>8i zLhxZOrE_4Z*bu)Xa%94B4~rIGd5vJ`-n_7Gn<_m1`6oT80^*2c98G$E0OtjV_c`ML z@|CUq8xQeMrS=$aetwPj3c2o4eNt#D@U-!V$|+x>2lOZKb?!xD-^V@Gy9*5eBy(tu zMrC=+so}H_b-GKM1!=!1_Q{faO?A_J=;!sMPceaWUkre}(Vcv-ZmYgBiH>Jt!laVY)sh^nPe!)p-odwIzWb@$ z!6bZ$G4>=jYwVNxF}^k|ReRqzcBD@1Gv5|Z<@pEsWdb2Zjf>A^gL6_g$i=X(y7w)( z8(g%4_eFRdcweN)GQo+eF!;O^`q?^7NNiCtS#=2CH0d9#jD6G!ej%!p_LpNn#y+|N z%=^H-|G9N!9AR7^WU~ml2CNxpTU|7!Eza+;afO+SK8-2xvH8Og2Gkp38F z*D^mqMdJGORZVhK-`(IqKRo^M*dXk?yRuPyX^8S%A}CyIK3<8GibGnT7X`eP%bDmG`*DPPlXzy5wsQMb93D zw(+f2EpYE*z;o|(@)R&~vC$m9oZ7dtG!NtxO-)$1A8yvXHu#p}hq>yhzC*k(%nOUy zW|1C}6X+{ue|K;E{_FEayE4A3_)NC(Nzw1*m2wn?8m8aezy)WY%_s}K9dZiQ4F!e) z6)U(K{9}Co*b+{)`CrU6hzj=_H#gW>={{qn8*vTw%3kOf13s^4Y#vE&?sRurzpu&d z?F*7LH#0qkJmm*+!|1_1B%j1mO$Ld7>Q8u#RxE*DDLnz$&&j^eBa|9L?mHJ*#-U#x zK{a86-u_Fj>b*b5DbI3Cfco=)u+Z6G0S>$oB{|kZ*|~%i3O4@WU2x#yNiD*x+&ODT zHWmL4P+L21y=Qy~CfJ-XLE00?MI5SDRSq-eJ&Y%RW^e9DMGUCe883Yne|1TqEcWjP zTrohY&v*|`z4YASoMZdLS?HDb9z4%n1V2pjBY?Kx9}`}OQ@A`2;q{X#Y92Pr&|fk+ zP~s0BKld_!PGrCpzIFuiz)Xg@YpuOb6XS?`Mc!|Ke@yOU=Z*JGrr7k@V2-nWPubmq5my zrMfJ{zVaj*+%YH``)=v8J7ppMTwJ=8N4%zaKRT7hqPAvXXY`yxAZj^2Mc?NU<*5P; zBOhZEB~S1w1wJh1J4O^3?2{P*ezJTI9*0vo?mbuw?&*To*tA+H5AG@WW7Dt+T3e48 z50Lb8p8DjTch^3k?Md_k%Qi&oX}C@6rCk?>HKW+&}K|Cfuu} zmp&&{e1N}CH!H{KO@!=AdZIsBdSNQZ)1%6RT$eoyP+sywi|T(>Mia}HE#MF5Sn)LE z2c*yM-&)$g_$&6w9Gvy_R*pvB;p)%Gv{#+2ZB>%J4g7W!W=#5gR%u7c8PvZYPl&@k zU(z>0dZk?dDKs#(ANa3&qVjwjp$8Y&$f3|Hh2ORp`V00KEw?$T-`F>tP}=srmt(Tz zn?_)M@!>pyDT*pX$MNq&!dL7+F-r4RSFDv+3LiGw&8p7%J%>KwVCCtHGS3DdF{_ST zDNN_-^1fw!$5QD}PPVuzk9I&M60Fq19AYYGN9>aepOp>_r~#da0XMcIq(5hCW}$(! zufG@mJnS2p(%n;Xrb8Vv=o=XE8a)Gt40x;N$czFHFcw^B&=Yg(e~3^u@pUZnGed{uk~^Y957o|M1t> z4s1^$Zhi9@TV8b1x2qEgYVYRzv#=*%(8Y*C$*I)I0)LF_#%hcr;RrVlrem?#7@Do* zTo_)xAF<8#J-D9YXDLR{G537ebfh?NVGGgUFp+Bppy#6%5J7>P2J@?iLaz*EL(nRJ z;b3&k$fI++5}J)_h4T>Gwlix&wFhlmYFA4t45o$((2 zG4_pNKeh|F$5qFjv{zwxxahkL`X&?e@R#PL>G_d@J~8$gbt3}wd+fe3QB)Cl1IO#u zRFyGZ$Ro3#&V4rY6XpvhUNBg_IQ~8Ej}gR)X-5%Uua zFL|CP=O8E9YI{lJ+TeHN^Kk?7J|FklQ&V*hI@p_;5oc3KLt%(la^yz>406KPh> zjBe4mk3sIkAX#W^hfH4s`wa1;9}1@oEC!8}eN(ExVunJ50FeH@oC1pN0SVTx8=Ns(oiE=q`RC5$yLt6x;XlVxoH~%gfH>KB=DnHaQg%L0mnXu=a#+qHw}r6ZKy?N$nFQRH<5h< z@-NkJ|26*>tbUSC_PW=4ScT;EFP}>LuV4XPz9aQ-{`E{@|EM<+pe_Y5uEGI6)5Xa{b>V0v;{Kc4(UV12Hdf zOxme3(Iem^cVgbJCdO}Tnub``32>vt*ATHnD-@bzR*YS zn|(_S;V-;(p(zZqI9yS`^DoCsf6n7k4$99wi@sOxaU2z*9G3J;+PmHv_d^E4o%bNN z2P8chr#a$*8T3!aKfhhW z5>9Nnjy@ycAj;*s>hJqO7D;VLwRB=UY{#C(f)xlpkR|!{4UMDa-**@EO1RBwLq+&4 zIl#*E3;SDH zi~I{0QP=a<`_jc=?ZJgVS$^(Mt4Obv=bIGbF(cyN4$4DIf_35Mb?LaH06y#pA@cs zZBi~1_EVC3on%cLI{_f-6Gx2w>=u@zdxwbgMhUp{7gw6;!9*B8ucPmk1?kPuUs%ta zP--xyZvf_f4-Se!uY3dk?(`}-cn9&+Eaycj1skNfxx<+Qf(l<#5>NAR{0NB^|3uk0~aw9VAHU|JbZDH{4qvsP8- zXPF3gm*yt$8fpT!-UPfp@du{fHKw0xnbSGJPVQ?5;d5e4_pVibB>gqZ!esB(rIL&6 z_p9Eu6Cb+EDfp&%k2cnomassJoC{h@yDu-7PWBQQy<@P>uy9Wn$a@!lyf2-A6W>?YTl80(z!dF~r}Bhp zXm+U!e1rI07j%bjk#iEc1x7FmpOy@;=y&*Jxc1dW1&QCJVLvO9-sa!j=qoP%^R6d7 zrP(2Qn$yYdPP{d!J0(f~d+7fV-_4L)Mik@PN@DbT_nAK(KwRn*?8klw-q;%Nc`XKa zMuf_DK0XKYKJOK;M$qgQU;Z=_c`@mIIT=TbdSHWk5q^F*0QQf74}&_G<2R#d0`q;x z3l8Ki{@r4M*=#O%#k&QlkhsQACvmNCshcC$Da#prpjLVa=VVi zwNNGB#}oh0CO1eRP_XM*(Eo5R8O|x}$Ao8I1YZv4qW(ngj*DWZM(RE78z(vMgI$rg z8yj(WQ_Exm72)=cSoCA^UK)AE%DiCfLYk|={2)2!zpQCKY@loBLVtn%Z7K5i)dXaC z-oW)>-07Y8Ub3O*pHO04^&gMWC(dyn^odLF5d1K*|Lj$XY&cgwC`Wl=@eai6-E~Fi z3uOM-mJs4P+jad545Su*o!Srj3u^MB?ZACy&Kc%?e*h6|z_TdkS|#!%jv@COnyB0* zFJFS2z}M zpLuzc4UDy;;J4I0czNPF^F1lZmqJhd&l_AB)HYS$f7y75d*O2Uveq_1u}Zm79_V;r&uli{`1#!_}l|bb# zLvMQNiePD_(b6mN{mfkDihJEMgqv7h^_S+Gvej1&y;80PJ%%eU8+l~mTOnU5x!Y!` znwRO*QGN0I;)QEctxbaFvl?76xF5yWCQH z3r68wfXg=MM5_Avo8f$63dQH(XE7%0_`6&x;rX^{iJ|`1`qFQC1-ufjSE=7-sP2iX zj3l-%4+(Zr|JAtq${Ry|m+ebEpShCMMWY89xA#qvgVUAgH?r7Ri-JE7)yFB|UddoqPE zWwwafRbKtttDwK2Z?6yZ4_;d&UN11XANSG(i}(e6T8$!Jn>6)+z83_r!b&UsxqsS^ zxW&uznXU9g*uj6(o(&(nx>M$AkVxT&84k+a+xszOceA9${<^n}E6hc}`;yY?`;Rk& z{l)KBZWwe*OyxhGL~jij8_WiO3~{yya2>>-{$(VgHM?bF?CBSAVB=jJF(&2wodD&< z9R#;WxO&uBF+X?(J za0t6PRWqeCv*Mssd>VKOL*o&To)VtOBNx$Ilsa+ z@RU#^H{dCF7x3TCo0dhget$HU@bz+e?PezCPx?MhQNGo6PwfZ6{PH2xKy7r_S7%OE&vH zsZ$TS#9#O<-&!9)!0^EQ!a$h=m|ysu-I_wvKZ9{NzJu}tddKTrdo`XQj|0EWWxbBxk#dgT9pa=uLc4H6EXpwo^FCazr@Df7A@eTu$p9XZYv8p9 zmby*PC_-E6%c7sHNjRa-al}0~GrvHOr+{S68*<)$XI8%|=6!DG-t_}`eZTzz@=K{9 zzS0`V?{g6AO+|uDW0KYW@pKb4cHQebC`W&FB=rG)BfCKe$u*`=fx-CB!Pqm)x%sn) z`oV5ue!;(|RUhPy*+7hY+K%5w%-Ml?|3>DnySpm;sviY@OPmI$GBVI74t(LAV0U6! zq6B>w*mfTN0X@ZR(_V~x?DZ9=fEp+^r0)asg+*)pw6|e(82!;51#x!J zU%Wv2zh|dDm8`OT(ghb1yY|{Fy^mZ-qw3RVgZy^K;9S8kcwd@wztxqo^amTfdz*!? zn({D(>~YO>y5mXwxoFwSL{R1WR@;c4BMxXFzt4J|*(H@W;TZS<-&M{@?E>FYxM}yx z5vK-18z!n=UfH5NkWmHNC+=vW2mAnS52rAGfO-X~Z_~kwxJK;GYB!oUx6SHhF7?Qj z^VALVNctk1cb6WXK|x762b7OdZu3{yh08o*ON`{MQwxU)pXD3)VEBLT&{*USg|icd&@VY_n0pPv!P2M)p~e$fa(SCy}bdxWgGflnQz~-FLcc-X>QLB z+%P0xkNwz9)0F9>;Lo$>ATRWNc~33}Yadb@^zreWYh9K8W}SLZik_bl9aIk)98VGK zE#cJD>SXeaHFZ4LbeYnHv} zv*2~w@!&M&SwbJYG#3YAJJRnz_!nrc-BNnnn)vg&Cniqvyc-7RD7Rq!d80iH{{`>~ zajtnmNvPyW&t3JQHd4r1YKXta-<1|}?_oeClDJ&C9QAcKb|9#c-hcfPsk%^52r*V` z(w+iC_BPG%^JAX^xO`BBzCHVX9C2Na*SrkrH41@0`5@MVKlMx0{W9`m93!oTycl!x zdM^x9ZYK1~r+)TzKg>0e;9wTVNIvHEgj{_d(90^{t37t|eQWSKS9_EX`q82CaW_u? z8m9TyUM{--u3w+HS1~j{kMhqTIq;VYp@nJI+r3%DagBd(rBSjJwcjz=XH*p&@|JadXoGcFmUgB@$t2}ds^=cFEoOU`WlFF`tY z1X`8#^SUV~ab7)YhFEvV@I2zN`!r$R2VL@Ba#??6IQqna`HzjeZXky6_EJ#{nfSxm z!k?HAJ+WsVaqoA9!xqU8HBSqrpWSa~)SG3dARc?FMN)YT%FU6V;QheS2XXpyFAdQ5 z;-N)37LT!S0^n;Mco$sH`t6&W29K>y4{8xGa~D%F@ALQZtAX%ag4_PA!EpUPBmctd zq(1Me(0eNss9#J`zsaf&`rKkahB#QQl#lU*x&tU9R}8cq`!y{x(E-HwcOMBLmNVyH zNF>Q?nIo0^G7bDO&J*5KD?zk8$M=V!mo<^~zW<8z(g zGqnGC5c2!@?l%a<9*}=OBYg?+`?384Gl|#!=Xb&<$vM*H?%Fc|y^?*(ZjWMwmtu7Y z+@$|%z}a!v=<*@^Sbod;RJUfkMO*RQf$nrazRFP14Y$05zR&sQ5iXho4yaEo%h{l> zp6O;8om^$^S@0rDeVLWg=||8$+eV;{%k!@w%FX+Cp;*MbN8 z9>ECcw%r-9-)p$?YwhhxYLACh)pPJl3N;i#xr6S*E%7u8PLDL`mh#yyEHL<|6nM)- z7x+Cp7C^f(hde)*sNAEZNa6d&<~iwe9-gJcz*~sFjRCwg`uDK|mGM99Z$Brf4JL`WIwqA{%H=-{XLu@v%!E;V8H$2ZB)j-ffr75Jfu(a2Id#}p4ZQy z-$ntPg!x6dLAZ~N;)4mk0?wNx!#_55B7)W6T`ivbQ_Dvv1$z1qJ_0!9GMs6F7rFen7*aUnhp4NyKf0qfmg!opl$C15b8!zRPK~H7f zal>;9WpUv6dY*D^N0xEQut%-Kyw3O(y`NSrFC3dTpFyw1+ICt6_0iZKyKL0gS?#6y+>yoEG_74)j>X~|0>f1+N>?yAYpudPd3SR+Q4fj9)uNyg_Mf8b3{Fdya zI~T2-J%{Ut^pdVYo}1_1y~AiaV&^`ef}hN?IiU}Ld%N61#TWQ3d_QYg(ApJ2aBEl| zVtx@FF)vQ_%}oJx3wDt)m|qI&ps0KUcz3U7A6wh`|NQ(n4e`^@tEK+9FS2FsoQHfR z+lpo{#(j)?g=~wPU)I>?b)+jHpG97@8?}` zU(QSpAi;#J1^1B`Z$>1sp82`qL_d6v3shC~fj~fdQkq0)H5{Ddou>Uz&|gGHf!}h= z2NY}diqf8j3~SASe-%fJEpOT~hZ+bd=z>v~!Ov5$2VsHe2z*1_w+nq=d|%$BMv*Nx zJyl!@w7Tm%j#QK$$^3QW=>o899jCp>>uijscr2g^OA zKjh$zaoRuLE<<@5ICoetJ<cQ-O6i4KX-AJ>gQ#>0eXmG+O@v-4ytqY}_ZjGlK5_Bom)H@zfS>os zlfIy^P!|$8Z+w={59`y)d;_-)jwmH{}?0sYk+*sE|jHN$yN5 z?IwQjzr4WbM_zPpQ8X3)z{O72jU+BmSrw!A-QR~1`!~8Y$djB^3(Wh>7g&#ZpKXnw zMwvFg4c0SHylDw@6~Vs(GN3@U)Zah7(ft`)$xy5Y3!M zKlE2J*baJ!oO8BBpK!ke{QdI#UT#fy{{bOz0RBCBo%A_);Q|^tZ*brI+C|7e#rJM* zb1{^p#^In(nLbl$$bQq+l}37CWA|w#0;Twe%!}h`0iUyYUxu{9#szt4?zcMAB80fc zd-9`8hSYL`LoUzRF%OyN+C3jfY|E)UCWC%qeH(hE^tvIxK8f#{pZn4xzoi>Gwnx5_ z7k|(zx%PEcI?fl=Gp0`le+78OJ$PTZhwOC(`h7T0lvQkqJ~_os{G4XY`)IRBDp=;H zT)FjORJ0$U;r1?i-e0m4j)0$Y89#rhi}bR;$jlNQV$e@%)RpkH; z87sYcZmwqCQ(sDwe*($xLc!A zNH~ZM%d76(I+3_`@g4T#;`jOXvH|s}g~vdP_9>nTr$M;R)gB)tJdKWDS`q&`0?xW= zK5|GsiUTJ2ZihVD{RNyu|8$dF$#>pK%6+zr5iX*Y_cdcF3ut>|Xdw$_FNX;~Z2)eo}U-yC}qA-UnPhtW&P^Tqx+eNS!$h!4!?67tt9bf1l) zqRTg2F9qh3)Mj;oALbtb(2?J72=MhY`1z&hp*!wls9}EoB3N_5;EmhY9lvhrKUIk9 zH!N#Yw2#8*Ku7T!xV4HW9xE!Hj#r-Rq{{|l$$q_H(q6%}0mO9p_a_qdJRb|cJPYoL zPP$+2iaa+1ESe@0U!$`U(zJ&fe&nWhNK87D@E3Pv!wLkc@cNMFiwj7k zZQ*E8ALc7Osry4R)qe|LvGktLb0>UdUmU{sg!?8|V;{;ixZT(%50xMS@-J-AeQ75? z-Ivv%H-lrC^4O2kxzGF__?CF9#)Y}4?%%$??=y6 z{ZjaI$7sTHD)%KZQ0?|uVq0%um|1e8@!<8{XWguhm-OZ}fmGW8(9RNFq=a2l-~jXz%N+>xLBv zkjuqt-%59XnPXzS^K{>N6}@_#L!S^TdzsqME2Uq&d!+JxkSpqqUgD26;%P1y@!ACv zQy&d*WtfZ8@lBNE7$##6BYTYtHx20(zgdf3u>I=0Y?4~b;oc;e?Y6_^@2_0RUca|B zs!FcV=TwUJKVzT#Df7+U;w6u>|4lqe&*YKI=~K z=RLu~dXAI&$p$0;0^mi8bF%D{w@*&fKCKM&-!Xr6C~1%Q>L`+X(FSYP1<%AOhZOog zrnZAlEiV|{-!|kIGgWs*^AYq)nXloi@5~_2)uo1>=5_A?|Wv^o1=UhYx^83fl2&%bx65}*F z^Su89fccpB#n0`LDfjP~wPCc8|2p!>!iSx1QeET?`d_fNS$r{<&Wlm$u7R|gQ$}!o z$-f-Ky_CxhM)?g$xV6gL8=tvB@POeX-kPTB7!^ggzfpxC>oLtIMo=2_pvfSGp zV>lO}yvtG_cFkzIjqm5&Z}9Wt+!XFvaHD+b=nTIl^u3Z8ljziMpjWcrC{%tx z*pD%%9DJAr_7|Z~obMyc{L#Cy9mTXqEhKyS>7n{P*<_YnT|$5G?|w|)JRUwHdH?^7 z(;W4?0Lk4fyKW&KXGfikA}bX1%=X2(&mZ#lH}rhoREwlql@^NaW+CI$%C&t+R8 zb>SQq=9hvv5S_ZipUnTM7fwuZPlR46&v8(i>ek>(APtm#4E{0ZQMqBBksji2thJY_ zC;mOLZyekqhYmt^t#stPvA1o_s;{!mdOq(%{sq0dYd50Lf_aQ#=(Aws*;NTzt9k2iU$2!v2y#AaNNuX;l$in>M2$|!D&6kbuIWLYr4dJOR_7HB;`={u6<@vH> zhW_tBe>n<+g2xw$#B1q`b$yBLP+MDOs{U>XBbKQjN4gWzsbfA*H7So~QH*f>bH2$X z>D4}3Y&fys`Kg`sNmaX=D_q|vTl~})j(sxwY!>|ItUl^TcEqvhdtc@0cc_tz^bgDo z&(eO`pVQQTefzdC890iYm|sAxSRJ`>tlXm(_cAL->P(9IjxfJ)PGM1F6I}vUqd$7O z4goX#2>HrJs1csk8+$a)0YY~WU+Qq=kx>V8@~?8j5p3N6{c8Lkg8STAJ}`yGzYqSL z>(K(wA*k?QZwsgCY+nox(!Qam9}R3n??&di5!Xyun%9$@;N(j9&hsFAwHxvE)r*oe z-+nDxIWiS)82xA5x>kz*7bot^!u-N2L4!8naDr~~rN2deDVX<5#!p;f1~*E$2j?Q> zd$({`E|nt9`tbWWk~;d+_^#u5PTX!GUoLFg9Yxy!l4CoFNg&-DmJk97QtQ-^jQ|fP8ShS5CIjWx#Bx&-wI@JI)yQ`XNR`l)d-!FKewie{-{)+oG@qSqeA$va!Va)8K8fR0i_XoaTAP zqbXx&e!ma;TW&(^oZMc{%6V}BzYPWP7Su28AQ!rY^}_9&V_uPR zPkCE|v=4-Nj1T9ihk`dg8WSV%V1;whHbebNH%xu<>`di0oC?u>5A_T8JvL#!9|SDr zkSeaka={XnY^fcC=?RWM2R30>hC9R443Z?p*hFmgZXQ0)Nb@d}R7QhF^ky>0K71Hfyg1LyQ4G(JPbKJ~R+> z0^wcV#_NbVbZ;u^m+oks`TPi7JcQ|~&?j$U`DE`Tf}5wEXH#$WKSf!n!JVcTyIr%9 zd@uh73B+ymTB!HMKmF#S!7&|w!(YjL-FrvEXdmljErHsnJ62=}7kmr&FdTqZwTke~ zH{o7%o!htt9feO+y+hP+l>Q4r2qa6^!ylCc(%D3PF;U!M6-WFE+vDD*T!frb8dk6u;$@h`UyFASAL14 z@!-M!F$}yBuE&CI7(yYMYbPAtys$LoeBpiA&w*dyDRDkw8yiRE4<0Wg+@TGtEo9Fd z=u1aB%LBKD@b9xw_&}`s_WsBik{_ui1KV-gZnMuvO=Rj8)yeZzstO1=*O5J?P`~yypDfbsQ(`Q z^9^X=QxMeF;aO`$P*X868gw&mo70kg{r_6SUWHDK`a=tC$=9wdXK&* z=bfJM(>(d#La7rAkG)(7F~6{+I0%1dgD>{~Rl`0%jsBSAM664doZv^lo4lRed?U0I zDv8ah$|pTLhQ1B)_1@s0Dd$IX=wVJg9sBNw_ntI?a~#@(zX^k7Z`8lhe4)OC`944m z+lMEq?#36q3)tdDEwhLo*`aiCI+3?3V7?DHC-_{`DuMTH@((0;E)+Qt`~kfVQ~mqB zKr`>cilmJOK8%bpc2pr5j|JsW@EqLGietVHe^#yG@Qbm|1A6`yV_6Y!-GB=4#Ana( z{vjT%dXpjKU;j?is)KR}-K1qT4uY@2+{fe)otuH{!R>r|#|YxF<0$k|qL~Z#CWbn4 zfm>my`W8y#{>k^5=aEvUIL*k?d4HqphUBvSX(!yytS{0ecjASYH?eHbs%o(M44{XR z`u(%A#F*69CoIa#XzxU4$obQUsefv8t|4`(yP5Y|8GIPn*T%I^A;#l9KbS)G7%=PYNqjndF*-r> zvMs&@6~dZ>(GzJGQ1=URBVI&WWY&Gc9D<8dY$UXuRPZH1f=-4 z4W#}xTjb&(`AbV1!^g{m$SQ+1@38a;?dQk2h`xRh&KJ%%V=hV^E?|CiAxp7kw#%=j zY9680c;ySXxn=OZb=v(@^+CQLL$P@3zD@>*8)J@LwUY?6`*JrMdyxm^zJFo-Z)|e5^OJkVD3wLx#7W$7d}%w;EiW7~^>|J3;2Tap)g2|GWFLiw4U(U!=hQ z!gXQYk(%$?CrI}vKP!@Q#Lo0r{$7O`L%(iL4*iB$f~M^|5zNPLLsOtH^cmM^@v>-> zgLBRJj04M?j@5fy@DSqI2&y_w2|2#*k5YWk-v?dNxn zmE64;V<=_dWBn6-#@pNwt2&B)2mbai1-`LUfAhLDn#%q4u_i~l zTd>ZtN;nd$nr=IlrTQEoc+8@HEC(maE4tG=mN-Ak{#LB$^FqJM)!gde<2A?Z`vCPR zL(lKb1NzVi%{xkR*1Dq|_%QCch}IgX{ibor%B2IZ811f0!!fTE9W4C(!jTNNrV5OK z10SX;=0uf@3=$mO)N=;sIuvGS(&u~t91o%T47&c&M|?!Z2NxQ`HOfQ3Rlvlhl+(B~ zo$~p*cCH1jT8W*1PK5Gt?gtCErOv2}#%T1z`d5k6+^*FgIuAttOYqoVKDDi%qC8F9 z$K?FPeM~q`xR1$v&gOS=)u`Al+A?oYad>cum1q;9dB?;`WK(Rr!Djs5u@^4f52 zugnBbY4?bXfW4_Y2ZkPo^XE^8<2+_?+j|SG_`2cV4;8$qB?ko=n7@GUl5`iG72Fr! zT**<6QFxN_i=l@JL%iwZ2^Q*wToK2IHgfNYsGC4rP{<8|-?xbG6R7`~Ut8n^-y-;a zXO4yuZjFUi#{??h^lFhI_MGW%ng{GqMfE-f4cz`~b9mw?!6Wo_KnmBjvBCxc)$iSpD3#;GC&PJT5hNU^zRp_zLZ5sR`q^KLkE6wqZ5$buOq1C^JOcF#bCenqEgBD^ zc~GS036Hg=Oyv5G41=B@1CZhF8JbU1{G9OwvXhkgnX~|7nei7wl)rbzNAjstHxwF@ zPg&Ddb<~eb(F_)>{+dpVy}Xv+Lg&MCBQ$rQC|KuKvvZAg)n|V5L(NF>mzDp{gW%d7 zJ?rBHLTbpqML1{tnEz4FQ+=zQ&GV%`^!zuzYW9cYMD;084>k7#ce!V-g`WQ^2LvR+ zABcO>h4I+O#PD8VG~{Ko#a{N!p7~i+odd?eQ<6N{U7<99Z8?oy2q_uu&%XfQa;{TI z7U~ztC+Xy(+~%pN^q0-nLw1Ldr^EZk*nES1z!bVmXIxNmPPCAS8i-i;5DRKTnOlNP(<%S>T*Wzcu{N>TDjx`QB zB}hJXP3+&AFLc4+@%s(~F2CggkFsAwSsmsEu&Y{!#b z756dL@4xJ*dC+c&%B#tQXGn$XgXdWf+uvHGt%J$LnpweywAX6j9}Li^pM@BPo!_5TE-h zJMpj55cprXQBdDo^K*U)Qa$~f=5&=WAUn(GbBFpx_;2qWsU3sti^tMvj9HDH(DQT7 zk!!9oi-m{>$*R)74FKdkLG%**pf!@`MoGYxj1cxDSzuxt|2e09`pu~J&eou z(7c+;;9S)Gyur~4DcWBI2jeH`?&6>~l>9n(U+EM1^`1yUY@k~gN}y6#4qf0be$NJL z;>ph&j=Z#J@qJse&B z>zP9jImq4Dg>G4g`?Q>vN^Kbwa6DQ48NF^P4|YYW=F1%(L(W*x8$B~=t5=0{qi$M= z<4USM_SAj6UOXkEaM}(Z$#uvZzWp;t>b`+NNwUB7b@Qe(jLDy4(f&=X;;MrNe{31X z{|}*uX>ZSp0r1D*Uu!fpTREza!qnGtC{TUbovet}iI4BO5p$PTq*l><4!0b=-N}c{}=?A2j42$h>BNH^DXV@*CvwiJuem$~B0GsGeJf4zdpt_c3{XeVu3p_W@hQ zlH@I3j-}=WHzI?OC(heQwLjxE_i}%L{CQ1oK_|fhs}m#ChnC^2`YPzhIET6<^p=80 zo{=n^v{KMliax48)(h)4=VE_n4*5FFUzkI*J4WY#DH)nuRs6g$0Z-Vsn7<6`kHVl> zsOHwPX-mofM16mpO#NB+mU@0}j-cI$m-{(tn4Igq zF6A2HbL#;;8~3BjdlHw!PT=y3F88|>7 z)tB_0yVO1L*iZPD`{-b_o;y3U=)Q2SZW&*5@K{v`;xZ->b3aR6OhP~TDJT46sOl>c z&yr+ZkAD<`YD4+VI3vFfY`LR^VuXBHsta(t-TONr)@FnIlWqUWa6niyBbT;nj zv&KTG)vZbrg>bw=H81MN#_vAyl!c4IdOSajS-SH&hu&=8(tZ=_7j7E`P4Fh+SDv&G zl4#uLfTy$=sk@~u3Dg7u_Ya$7(+A`dAMJ73*o%Hs&D3ns%`LAtQuDi81(7csG(xOs zI)i>H_g3Eg=_ukbqpphZ;~rJ(h=n4 zgcK_)xuoOnSO|23PaXxX*5O}r4T;IYyi#~7IOlGH2i4|Hg65Gf zju2mK2v9=ezwisAya5LkP!sAutO=_h|>t#g8} zV>AzGOopDPHO?DFkeQ{f$<%zf#~~!L?^`~avm9Ay3}K-Q{4c7@E=48aALz3$odo+| zrX@K77yH-D2=z1G3Z~24S3jO-lx6Tn1>{=tKDgLJb?xBwLH&N=$I{@!!WBFf^^5S< zP`~_;i2;U#FTusMs(VZDV7cKqB~g6|_>;M)eKfc?%6 zb0Aa|KI5SC?aq0}?FQ>Tqv;6c>dkdgJ$#CT)SsnR=4kzi`zGhTSHoQL6UGbQG#F3S zMIcmQ@blle4Du{k7}p5*8gP>@!(YkwkE+N=mV6>-FFKR^uEAHM;zeiqckLW%hJb{- zr6&t7^2HKx{c;f8G{c+DF@O4Z@RYcp*RMEr0YE!+NCF|0<4`Yq@V>?Wk!NJTTjYE# zFq<~<#$Rlt>V*yjlI1%H1JkYO&E|!re?H_!eC>90twN}7)&&&Lp^|KrgWeKTkA9WA zB`VkNK$Pz9ORq{Fp)LB!;tTuLpEy>k9Of_FcbL`=dNt-T^bFBHcOvS2?pwmYFUu42 z7rAH8jM0A8=>QTA=U3UZl?Q3NBejnJf2Hs+3a%MYYuj!967>t~rICN|m<{^ielYgZ zb5Rg+&P0o&&1pOf1kaQaechay7R^s7aMT=-dokkM+_TKoMJMJOus!Z9zagIDAmb{J z`3ushl6vkP zTnGM2=FDJTiK=2j_s$vGFWh#{V4m97lQU`Ql>CMxPKFSw*Qte=S1K>M(2%@{kGQYM zL0(Gpu@9sZ%ko0NQ(M9@qB#Fp4(WO?SpDMlbA>ZIrxg4z><3uxAzZg5;K3rE`Hp?< z6s@OgcoJ~Vf6V|-iTi=iz-?xkfivcnSAjM32Hz56zs)@p+=*?0m&e4Da4r1d-?-}! zvn|dS_C*I5C|6;gz0}9EPG!+yJ{P9?X+8n;mT(Jfb1&^ejTwx&&z{hA{5!Y-?qfWM zZsel0@%iTvrrHhMnVB*=W@>>c>uq>*Uy zftzNl9%WA${f=DKM|}fnJ?Hdg7a6keFLNWwzk$CJbh}=y;G-YUbGSzxX$A(`cUvZ^ z{&#nj^eM_dyk`8yItcJWBoFJfzi@^t)rT$!KB=A1C(Az7DTEk<`Eew;r_d>8{Ti+u zA8_}@H#$B>-=CAHvpG);`qKH_FvWTiJ_hD5jYJrE&5(RZ)ceAl>6u3Bd~iUP^Cq}- z3)_AZq`46Hn-fw19sB%HM%Trc7UCGm?bgu4@V@m7eJb8q*Tm9N#E!ked|&Fewecj} z;rRiQr`u}}IMl31h5vwkN4DLaiE$lgQSbL>fz+EsnfL4nN!EKyAo5=MVqOhpA^Uit zx0HF7#hRvc1#xfyd~wX@Mc$Ec#Q!>HaDMglC7H_SMZJ#@^b_ZQ_R;x9PN5-wYxqNC zuKKW)oa8~#nhS%v zQaEK%1xCxQOeV3HzDziL=E4n`<)@sIwV|R%Zi9N?;K9Ux<-yL!zB;Ksk|SHWP)RhR z8em=g13UMI?a4Ia;C`$3_wxB5VYV?K7QO=Jjnw=-f&PKKb9q99`0xgfb*9eTKynR} z{@g0?U^f6TmtjfPegJrVJf6*U1+R}~Dd1mB=Y1#4TKf^RV`w4=9)Uk5edDp`4E8g9 z1)Y%iWD22!;5@f~d^DHrTA>lkbNvKYo%8j!r6qh0)yYr}ZHJcR!QdX~lO>m<|1kBP zEy^{xZfn&Tc{I#Fd+Qi;QR-8_)0GH5wD3l zFGZdOyE|&HaVOxon+#tcuR1*3$D2SnJP`Fh&;8p?E--{Mc~)~>h84>uA3k<|_7k7b zr_-Tyf*T8%OR~Huu~7SCJ$%rAos59)H7McxF zzuCnx)R~2lzL~TE^4iQoi|U!cgPjPRnqQ}Qn!-4=>)BG*`(a-B_tr^U=ObV2MF5g_ zhGSj{+4I^B7VX=$Do#H|m43U%4LWq}&oQO4B{x0y7vxJr-}iPDcx0Tb{0aS?D|wR= za|4NSBwseRqMdhwW_(++x9R~FR}r4vK|kb~F~_%YCwbosJrZft^%|F&w~y9&&!VeF zA=?GOhjn5-aH}Dzf9wNY0B{%!psPMO5DPUngxF8e2L8$*2IPSc!)@R;SF@DQd^?63 zumGysP|4}uT@t=H;F}(Q0MC>gD_>_3%d#fh+%Ry8%((N~PB=k-&rBm3=X-b)>~M3P zz*FL~a9J}))frbQtGT&1ptocl{2V9Mv--!9eBaMviDT;)bjUScz%Y<=7JL!zH>0mD z_out)%O^r%JTF4$YIB^a4__>XgpnQEd^WAe5nSVup;MD}?(;PzZlUJ^;( zm?AXEvZjU1k3ATp9Gh7gCWrEzu?TA7mwPfPo`Y?X|ALUyZ~j1E_lN@oiVa^GGd}|0 zFbV$31a?;1s*e@^f6jHNFr+2@0qjFH)cbIS*?bQ_GTZpO)VXNL{jC}1LEQHMpP%)~ z{mUa48Rg8Lmj z`Z30eZH6BG5Mnxy;yyi}^;HK843Q~Ta}X~0=6cX4Gq4(Y7BL*S^cMM*z_^u9cA-$v zBd2}tAo|pw)8Q-RyySmezIHcIvJ@$jQU zF5UosF{wLic+oS+PW}o&J{jm<=myNPjFO!yMNdFu4zSK|k!BgV69;YCZ?coc|EBQQt-jZePhYw-Bpe}q9 znWOito}Gk$KVU?n`Z(O8&AhKG2D&00mfVe2-Ak<@;uEY39}we0wok~``+sDJ_+yTs zPUG|NM1Am-pzoM{9P6MllyBQ(2-D-n^KSe{G}ET<_|~G_rRY|!hKBUG-aq^8wfeXGiW+MP8Z%vM@-wMbKLc?{-ERY7jqXeTDfJ)!~ML!wtr{+%|CXxei z*44a|HOJIHl6YBQOiIsYpkvSx_eu1#dUv&^sf?I zKBZ?WA9!Dg`j;2^Xy0fE^p<=deCMKl$-GkZ3v<&}!T-WPN~535z!>NcSZ=uCWU%Qo zyJ$!b+_MOsXQz3n9~rz0mY)}(j^Q%xEA-8f((%4`O>l65ZSD9Hobz(iCvK@SkGev5epj}6DPMxPlSz}xVPaXdlT+GNQc9a`>|!Fv4*ol|K!AM9%| z-v=%3R5S3|*&qmCanW4p<9B*eQx5hl5ifbg9am=4X~@QkzR`S%UEp0X261QwZ}kBT zve0W_j7u-F5q)(7_-a|-UJpJumO~G?nQO5Axo4GZ)om;bqhGl}RXUIgHUq>TQe?1P zDA3|Y=c_@8^lN3Q&rV!6bBi#qU=E z>zi>!L&|4MzwG;($a`flse2}^-Hrj_qHxh?S6>eQH}8k=>0SWl@Ya?9;xX;rDcQ7y z0VV4q<=zxG7(7@OjQ)Pr5YE&TJ7Uh=Z09uk8MgOD#k`dZIX{Tz%%=U@ikef3G%m|f z#9yBlR$Ym_4-vdL(Zml3R4FhTuo6>-iWhQ=24KI8Mgg&$XPI6lG$js3kO z){E5J@Kl@wlKJl!w^bIH;NFx2YeZb!MMTYRiB#X*w^q^Hx0-=KFlTt%rW{EnuKt%`GE+ z_2xfXv>(~Yi5`!JF&*d2S14db+Q7knt?#OENtVZAV4e2OcvJ*Qltt@LZQyh*1G zK{#OBw$y!ZdIWJySw#};0=vFB>_KdEZfui6k0uQc=@XGc z0X&cE42~b#M(w&J=yTB8mp%`gbHvhNBJFbm!1v2gtuv>(6H`Hk#U-*?H zTYQDku3v2&W;{I;%H)AwEuzjZHO2XG9xwhv#sWckKyFQDj z3Mjy<{gh4b(KhV25B)Ld-gfj$(tAx8Z`#JW!SLHk-ebBAHQD@Q$=&4>gpb<--!~px z7(sJ2r)h9D{rW8~p-<*~^Yx=Ml|%SA zoFee!F6w>J^JBg*{-~z`1esggs#n0}06wGrb?|?29PFEqTv(Rr*Sv0cATIt}=q)R) zKX7>Qq%`f@I(w6FgdPRa368f0A7%jO6TJd&9QUo}`4+ujO>?3eMcoRHbd8lfsAu4h zNgrueu2F-H!{5RW^#u+n%qxW-lM9X=3vRO`p=MC1^_s6_4iuDnw_hAR#dI|fy z_?izF8p0=D3SX%3-&AIm$(O zfbe0m++!u?bj_G6xC8zk&J#J3Dja#bn@o}~@Fw3F&AIh+QVHXX1>SjMl#}9i_YiQang)9WVO01nl#JnZI>8hrWZo@hR8)tSgQ5reN+Pe`}#^0RtA-a}WGv z;dvKj(M#YweEf3_*8NRHz5kANs?WldlX)hPpw@5L0(#46ZrGIVt@Y^SDyq*JnnQzf zH%=Ypig_jf@Pq$__3YiF&Ahbh#)aogCY`z!O~n~J+hz!bqLH?*dk%5R-7EN5igUdf z16>sN>t|*Prz9A8e9T*23tth^OQv+je7__&YU&InZo_sco1=cFlB4Jg#L-N{9C;nv zKdM~Q{^~tD$<;eDKaKK{4weLcvV1-jaDQigRa-~RYcGZT7x*8FL1)C<=@Ty})d#nZ zr6qjvJsnF)Cs9Cj%QIMp9kkfw&x1dP_?^FJ9!((7I<6N3f2;%>+WnkWhu%W_i@(^6 zqiSr}2{rHABavUh4e**oJT3hZ^^5q+60KP$p$a`JKK-XIlB=G>FJhZO(bAslu+@7F%2-Ghe(^?OFN9p4{@DbnHhcXjs^Xg7j zH${eOzKIX?me3FV48O1VW{{7}T>Saq#mo8Eu|RUt9)nxS`IQc}vx&=zQ@8!-kprAX z55c+pXMOthXz<3_?^4A<{46bpVE^Z!^Hdl4ocnyAN=SYC?L%&|=BM||H|ior;)-`F zg)mrpFZ^P#H6H4msplj7VuKhAeZiAXf91A2u~NL~h7$H8{{=bBm%q=U9?YZZiCkD< zrM5YEQ&}D-4}`yxgM~)e&~fIn{}C^`o+9L?Y!hI2uEBQm#}%NfVGit+FyguL{`*6f zV?C+Jz;^A>B+-o+C*ifGGI8$G&%Z(U$iKeSQFTVO!B1x1Q+$-Z&UIIfX$-QDiZ*jC z{RueqLGxb1j|u_G9{AO+e>c`EqI`(Vxx0hwVGrA2{-kip(VGYV1mjKzH;$pRydDhsSmGGJh8ejA$M6x3*S}pPUHhB`Kc*fA z>qX+L;1?4fm;X6KI2m&?mDh1FL^%#id{jq-`sEik0{3-QuFI8Dv;ht8$nVmL$4xUz zwAB2ms0f_{KM$q^Pj)Kj8d(fzLoQ4%`%7azG-vuE>ivo!P`;g@zW++-Cqp>r=K#Lt zXQ<@<_7Oc@pHdU4Y#2z-;h_}AK}iAb#Bpsikw47(t!Chzusv*Qvn=&53@7Z}M_lF2qKRri6;G^MSF7RQ5OV-0)bL1Ryl-qBI^96jnh#{$R?l~+>ro)4o zM4oT>a&AbIR9XUD&CVHPXm?wjoYgY*b3|WQ^20WI%6T)iFpjG61~(TzVvI%ZEybVz z93b@ONyIO^Rr&wm!AdN+#fIcMiS;7=6Zo-&15*t1UeGpr)yXD@)u`yEhN-`#aH#T= z!-@=!gW5UIjsB1WqB3!e=blT*_2x!UUPoeleYbLnnzK0#>qUYVuNmdJUlkoK+>T$q z@F&nr<3gUBc@(zU)RDnCCl67-W{GJ;i0Vvkn{i8_-r~+ znA5nZU>;oSX~+*@fhgvcb;0X)+L<8t%Jd--Qje8) zbyl5vgD~MRPJEOo`R^X!!>ngrqHiRz?d5$fQl2e%%JTP4wpLD+JN{ngatz2IInU;t zH{?FOHj^Fz=ir5TWjhW;JnW;oz8?#XdJLpUcQtugwmN4kOjj3ADEV;6`qLho<5&JRMbDuDW=RT05J-yr0(RToRF_K5x z&yVf`t9CFtRQVlMTuAOCOYDhduRlP?E_E6F$P<_wGB8zjBj}F_zv26QgLNW(+NFx_ zcI)ghG-^VftF`N7iq9rsw?+8DPCuY8&io40`z+s@g8Fy&K?wL(<7%;}GEre+tr)t=)PrrhcB;|Nr{3rAy<#RtAVI+A!BtkI3g1=y17@WXI!T(@!7 z^e6it7Q_fA`$Adeg$DPHlGeFu-R)>A zI=`9Vl}o%b@?VN^U|>#!`ktl@Q=M#5uCWm=(}mFUGe`2sc@NQx&aIRpzW4W2kpIHL z3%xug->5;K1makUWri>DxV|zQ0TW=Suul z1%}i$qfnP{Oyhg#Xqi*L#7})k@M+4utiOxSV~*HMJro-a-Vq0PPIe*Tif5#XKH=71 z$;!FAk#ESnF*#Lre}~2hhw23U`&KZtKK$E4<$3U$kG?n>88@3CKcM8Ftv~#lExO@a zM{?9B3?3}xv`YpAdMk$-{tn?^tgxXn{KA_h2)D8Nvn={Lmm4=14L+uh48?xW2D?*X z;%k4pIgq%G(zT2gv7Na#@+;+Y^RGf2dvOjv$+;{ntJ{ef|1+;mB3vB$hUxdy5f-{f8zMA4bV$Uy|fhlIKI&PASWB+i0b1shoIM|aLU35u@n2yeAtLf z?ugO+MdV0uUTX=QPm;R`f8}$4S+C(<`NKp87G5`mSA+Z)M*xGiu1}+p%qv6v@|Jx9 z4#AYefpTt+^c(mLn_SDP?!Hly`r;NkX&<0+EIsFW&&OD5q(J}%+kw{YMSlh3`HdH$ zhxt9?;=RWS!rx9<6`^(MQfCV1Kt0SWfj=D9yU95E6LY3m%qt}~F9-Rqtk3Z$TG$iG zV3Q*?A2`igIfYv=mt}6#%nbE0hMzY$R%Fumnd0kkxEVs|{aTV|ibM9*(gA_1{M5JT2OTc)O@{ z4}5-(Hz}5)IW666p!I@{>%sD?|eEr+JP|X_)b|J~v0&kqJ zC40b!!4$c|;tS{}b57WfR4QeQ8wciKL0;+)`Mr6q=fJ}l4pi|X#n7=^x-)E6I@9G{y$9Q1*bpUa>J3B3#rZD&(^B3uR zj)(76giX-%Ge9&8{4vJAg4ZW{tG8anZS+@|SB7x|_@Cyq-=71x%1GZO?W#rfvEW;Z zj|TbWZ!DPPZ;n;H{+Wvg^F*5GK+pd&e(Xm0#bnO@uYL@Ce&IqnJ5xQrKvaca3~x)b zn~BOfADm2~H}L_YereU}P`54>iMU?e+9pzS`ogUV@Z7yOI>kueBNIF%#`#_Q?wrB+ z+Yw)a*9ScCoZaxDK0?EL3wV7fv&wv4Xh=Syo2znFPL&c)edNt_V%g~h+{e~Fcr-E& z^Ou*b_vku|Mgk-Dx5Fi4>AppCE4;vZ;RgFS4`P-2R;(Akwp0dJN%C*&c&a|QVS>)R z-}n$?03X^D|UEJ_R|p59*`;Z8`uZu)Czyw)3+qLlO8EsJUo<<4n=A-Rt z{wC|UiywW@T(gK!?WaEMqWe@Id-1j3bvE^5PrDGSUvlcF>hp~I7^*LHNb`-QT&R7X zN`G7&{HWEmF_Nq9P&1P*H%3K?y7U#U?VhM#SO>P@L7e6z%*fU}D{P^xCd=VqzzzGDm(-bABoT>!B>{?hbp z63pF>NI8d}&&;ABY$)1x)nJa`$nWjQhwYuwxQ~IuUJm({9E;O=JMt{*BFUhMqn^8a z;IBmfXqhJ#^5q7vm6PymE`1S0P@8rARfn8$J~MDogl5Bg}n@`OS|cq0?hPljF5`%@|5 zcD+L0E933_8n)DXA@r6~7YrSyI@*1?2FH$7ejPzLKK!>%^B|@-MWKEHj<*`ee32d<{P`$FHs&7q7YZ_oK)YW9IA7jca~g zfgv1~r&XzBt9ND2BmaeMUtfCoY2SAo^p>!#_buU~KCK{o@t?OuKI#Ktjat0wLgChx z_q?i>N^IZgx)pf`91qwy-(X(;^WLd+3^56>=Z?{N0P2^T%){PkA(rp9-|k7NY~*xlO(Fi1ELz<^!qd@P`V)eWJCVO|8@ zuiPSM2t2PEd(fu)Gb@@nR&?to=q(`&PAri_9Ix7|C+4i+C{e=@)uZ>zB({b4tPLlQ z*DC}cQTVprF`8rdbAa%FW^Y6;8S`<#AFDJi@73wGS;R5+>u?{F{Jb@GI%i*i_0kUH zux9Y@Gl%bHkodMc1v<(c$maJls{5~u`xpoIx;c>*|JZ5rXD`K?KF3Q&I`HXxP`}7N z1m1;=r7q!K%k?wrms%{u8RbkOXYLfHd28?^3x5fGex$rS*%AxB1m_5}H`fd1m&|Eu zyWEIOc2UflR&cqkfS*!skBJzCRC;3Jt?QaL3QbTut4k ztv*LxGvvPPg*?8;uP|VmkA62l0ACFge_^X@xyDHzcVhm+Jk6Y6JZK%}JqIw?=lJJ& zSt%skOw=#zd$mRV(wOz%9eg$KvHL_i%|V&)S4xb?ba&;lV?Pl+dX;Emie@5ou;Rn1 zaob2`&`fiC(f>@ry~gkTIM;}DKh;Sg7vpno43LZ7L#Epk+;8{RS#nh86zC!x`nv;C ziDknf=qJlO`C`72cgx4>v$Ry=Hp;kt(DSokrz`r&kO?QT~ zwmEqQb1mlm9Iw3ND*?&_d7VI=IXDr#qL1sK?40hbJV*G&*bccI^GeBC1K(0|h-XF; zFWVynz_$e6=m3$>%{YG8r$N0XG z6G|k25qHfiMg1atprO$^@5DYPc|lhS42cu4*o$s^SVibFSctsKkESxv|4^vtaqjwn z%g2q}2lg^YEkOO^%AoRt$|IaQJ5_xepWwffJP+vkQO^_V8hK2?yAa-5aHi(`Rzly4 z`*ZI+wGYx6`8}UPZaU{@Ykv*;8kMB_yF|=i&<$M=9nJd&JV3Ice8{0fd*D90 z|Fl~w=9S8?%QGZLG&I}1uZO7~=}4gZyUSUL4?X$5oAMqSRgvfRG3NU={0-LWL@fWF z+A&f4R%N5(pCwX&FGHt1ai@aZ? z@|Y@+_@S;jMbhxzNK|QVO#?ZIpk9pBA>+Iiw2J1MFE`{!a`{jE>h;a$aSNLdO zX=lZx%>KBRIsFtAf!Y4k2)4z5?<%wq97^?gF5O=*FfLA1CGUhL? z>$6`OE;wJLfqu&nzQy^fRG9^P&~0EUm;I`hpWcW4Lur)&%(~DP4%(<|PmC3Q>YAf{ zk+LrI7+99pHE_P9e7N3Z4g7Z;Y&>e^ z8wNN%juRg8UFeEgzt&_HxJoRatczS&Zh;imk~l*;=4K7)US^JDLz-iQ6bMid1FytaXTmNGp&mu=2*Yp6if3^HY~V)(GVRm<}bnz z!nzgR(vbvWtk7J{_wSFvh2PDY*iIEy2lWfj5w9ldJkLLwfa@K7d`P6`8B{U($t}Rk zW9|!hN;2nbf!sm#XHE{vph^PhK4(b(V=MZG?5{W%LUq{Kw%*6|7Zxf%bg`@Gx?bHc zC0qdKhv~}Q8rYIvfcs;_L=YeiYj5`*raZE8c?P!~ELbmaAD?+J#)G(B_AS;+C<2u? zJEdrzMk7xG1!tu<^vR+t#XS&m8%rAMeZd-x52b{bzxag@cNZ?|nGx~Iue%pTUw{k# zp?4OYxRtokN0QZ0sU= zZx0%#lJo=DC)0$IOnk{V7Q?W%+Y$OPZfs+{us?n%)=Mquru=qUNc*$-d+SPwqT`E&?AN`tqjWH(mY>4N$uf={q*+ z1id9}EzL8+MbFX$>!2HA!~^ggiH~jrlwa`C3`c*1IS`JRzi=H@VM&(yzJ9u92+tOL z7{-5%o1R8&=O|UxTm0qS&%iInV3I^f-3M=#k^T3I1Kuw-=BJ>a%z2$hW9Y*yfCk_f z>%!b$k6c6a&fW&C1<>9gL3&{785UhD%y(9dMEN@gqJw2B}G(6QttW);`oS4n7{B;H`n2!v8Xg&unqK< ztj_`uma+YNDx~Q5mz+XfIadjMOSo9O2H`#?T#q`wGN*ddZX#7ZZl6_aQ7Ewusd=h9 zu?q3)De(mQ=is#WQN*12l)x-Kho0Or?B#>5Dmsk;&@FO5P_!G_-$Eo(0ccdx5!PQ&yg-Zo%&PbM{>fQ>= zXl@}T5!;14@|jPL4J(bSLSAfJ@M(bl zT|Z}(L9m(UFPYT!00JDKx6ERJP>v4?H+e;&QIZETsP`p*B&ifd0^{2$Ae|U<92?t; z+!zcE-;LyBTni$$nRfl-k|BN8-q6EvUnbI%ZXkClcgqCLbAV1+{1V`g@nc-4b^`s) z{M+k3%7HFQp?AzphW~|aQ7d}7%iKAqd%WiJ_Ka3P3HqD88LYFUz+hf!v+nldGb;yO zhs?v4`e}Xue3~2sx!T)B`UEe(wI^J*&Ur1*5k7X%6&GsD4cU3A)Pd)tg~`P7({&wh zNj}b~RjHaEc5MtL@f>_mrk>Bpv*5bA>ffHU6uBif&Esh#j9b3YadG_>eG2)QumQve zCTV`+2ygm{^H~-`AH{`y0~;!a0QcWL5+t9s?3FC#BOy!G=R9Wn{>!V=fUhUntBb zbE-oioEAV6(Pydao2~ifTfl2zAN2(EEd_*q%@AF1svY@pLk#m5j(6x>;6)r~vSR}D z$*iM+K3TXpS!E<2Y|U#6wPIj*2PgW6xgO{z%kv1o*g8yW^Va4XTrOv1#FLwQ!rKba z^Lu5FuGVdP0`WMcNkD{hgBv*OoWD{SF$QDj@kHv2?IFH9`eTqsUhNl29Ebd*(9qAf zJo?LGSg@uJh)w>Yc8qd6piky`?YN}###S_1yq0C^yaMwVsOa;i1o>!g*2qFb{H?*R z>d#9oCGW>CC)0_KkL6=pl2wC`uPwVH2x->kJaz@s=ZgRcntsuU+COeVwcH5hMsD;V zjxoNCJU*FEKbxTZ*K(f3wx=D%5~M#|=YWs$U!SJXeQu~h_r=@T62o2Uw#DE_0#7{U z80K%>&v9-74m^&ZbsugS;xC$4RdinCFvk>KHb6P9{Cu?sX9mYi>%1=N`!8WH{q_5u zatI;53m-v0CjBbgRN>Cg&*QC%4B;?@yAkXUubO?RM8I%fK5z>8 z<2XK6qka)zLc2t%r@rYHCHw2aKGzN52B2StF=^R}(2p_Cbpia-y!{V)h`Iyq^{wZJ z3y0usMR2y*r`S52F!fE}JRH0}2A1C+OWoKgo(vx_K8`d`)J;4Fga2hafHMO}Ws#R$ zw5}Oa=Xu(R&-AxJY4Y5*zw1TT7^9|V1koPIBEK8rsJh!F=6d;L(SEgy6D?s~0(hF; zz&jrZ-bGd*Cu8Rte6A0RiPyO=d~2-VS@(Sc0rUPLcDOkYZ0f9>BdiymL&yJ?NG{M* zTilbC_t^*f6P^PV830~v8~$BY_}$=>9U5Rw84O(TLM{}~&9gI>vZa(?xjUWS*G2*s{4Z7{_N6>ePla=zSuF_G?P!2pvshVH_MGw(wN zRlxPI{aTCiI464&_f4b!jFUdvFW^S>ML}{hK8Lz9xUG1S>KvYVDfhaXMY(sEictpa zSAU(17ybISga7hvq33_t&FTSs2}4e`J+@xNdDvG$#P%%f@s7mDf3Y=Xh_~HVsP~@Mgh68h^vR!} zwmV@JOXpxW*n0@Ru`4X_$u)jO+i_WZJb@ZJ_3QHiI%k5Ozg&%XP50n=wBdln!Op6? zY#Jv1w<~uOl~aiMKF4BT92Q9|52%KD<(xQNq@m|$?o$BxFuY$)O^OlyT;&-V^pN%X zSI-&38{LQ80ybnlL#`C}W6t>yTwW7SY$`M^WTBIg5B-<`lWd8noQ`kPHGkZ@rE&Yo_57E`lE}lY+oqQOYLTRiQZtY2sga31&7C1PZ z^Yq$B=Kl-euXJF6b0%~w+yEHsEIiP#mercEcLcVU?F zQ5yy-C;54iA@`UwZhGIiQkg`C`5~JQ1Czh|eMkD1eI#WQ39766;jN=(UVp#ORbvHn z7*vaD%-%;ds-$X=%i`tS8W&N^aTZAkBqX zfO#e79NZ`)e7N!O*Ga#3wUg#Njg6%!4q$!*PM}=)FBz;GJiIhs?^680p-j|!OAoD`})yEd3ha_;qHdm29?cV;N^x4+_n-E8p3 zYNKL&no6D+i0`_etiFR*`Nr|i7>tF$j~of*75J8%R}$YgQ#rfPZ3rImB>EOSKdg*A zC$1O1$36}0{|)%}-MA3xlSE?ABX8CH#z5}@`S6}N8>#!^kYCAl{qOnUC$oOGzA-BbkiG zoN4y=xkV7$GAG$OtIn!K7(K&sT)iie`tt?7K{9d7N0r`@ zw3&fYCk?_B+9~a6gx0TZ(NE@iDdsQCrI`diCHrS=#{X`x-)ZagOx1Dj2qBhl72oMi zRmXuK*uK!PxPsgk<4Sgmk(7I)q|Awv;476J@2;&h&jx*KIqu5^aXbFR#EX}V8Vm;9 z98QZ+{g+AgB#tkgA231R$K4YMX%>SPU-KY|oxO^C7Hr^wF+PN*XUz6}Ddf#MYnM>v zMAgFi0wL+aD)Cgry2qVSlJgN@mqoLg@B8eQ!Q-I8RFxh=&h{nl18f)E`-d+{j#4rB zk%8SgyuAx;M>lda&LO5;oUM!g6$gX9?Lv%!egK^q=N!Jm{?i87tN3F#jd#FajXE+> z^B|JO=;!xyhU7~vnP5@>Ylx@T4SVD09j^N>eX^+`cth3u=1_55e|~;xA;#sFKI|p> zo2_@oDGy_8G5P_542LE0#4^p&u35@e{SxOh+7HLzXA~b~qcCa=43I}afX+XceKJ@L z+Q4w5QHFP~DV9pY8wiBHS-8m1C%gTLMs-3WrEr}5vC&lQ^500TzGevTy1Ex2j z+YpjITrhMntV=}>1<&=~h7G4Dz@<(4F@sok+vdlS#BmH2n`fy%Bz-JFrcu#{0*K`w zk4j_y!iM0f;AL|^(LU>c>u(C!@QeC|*S%lEG-51q!3;0rc*Oa=gH-<$;7FjR^euc* zT75d`kMZYIu3Zb|=pe@ex2z#v;L@nB=YrwN2E4m*GC!DgG(h?S#)JfdE%kkEZRUCPt+C4W z2}w8e4gNG%0GNFcddpnq^z9EJ89PivABP`kheCtP%&)(4CG1Me^QV;59Jv;$Br(Wa zThbU7D#AA)eP84mHd`|t4%0k?Wo-K%j8u-(TrXnG_Q#LoiQAg*Zh{ZPy!+!G%C`h> z9947w8ZCT;|3!yWD20QVT|6fo z&C5waz0bngiM}MhtQR4g&-X(Yov%hzr3%>CyaJFr&w#_{F3S6?iT$r(M(el>NuoFU zHt?o#$`=(L_)gMaL%q*A3Wdo3* zM$PzzR1Hucz}1h2@OXx~5z@`?^m3`Be&>c+WW$ZqMIB}Cl)oZTbF)f}QXhA-d_#2Q zQ^ye7>J!lqhRXEMVs_cG-(I+vrTWbQ!!=*BHFO^gu#6f>jDL=7nMI6O`YdNGF$W}X zK!D_X&&1qD@}f{bvx>^{&m`sV{Cd@3we^9vcFIlkOrw~05QMydeh9M8F9rq)56CIl zQ8|SjO4GaLp3^dCTeMGHrUePtA}2v#|IjGS4Yj?feD1BN|D7>lUNltwtC-`7UibS5 zTF8MAy`WD<9k{7|nCN*%?MNhk-al0XuaEPMLL>DaTaF0ws+Zrk1;3B)qt(HO;k*u< zFXBU7oKC=hB1-DK!TLI@z2IHoT9vdlM7iGIcbZ_LiX zgKJe)xF@YKFB9D5DIeMi{NQh|LsVak^&BJ ztgy3Kc8?q?^qqS3Gw27UUGmyX_{>dOTBs*)IAe;5uHoeBc+I1zn$M&61vHa{7{D?z<4diVa7=r0U*tFDRUN~ zQAd`RLH8{~IDadV^NekH#=4;digA^VjkAgEmwu13=n3#L-l@ZdUp{(jCUM!kYSKtK zPyUR?Urq4pUUoAB@NB!?!2M~BBmjvJ-FGct5ssPBZh@PGgRe}Db& z*Z<$wsjj|%|9%@QJ6U&j`0e8Iht!jQ{@3gAkbZ&r)$+yik2U}Cum6Mp&1aBDFMdxt zo8M#HH~-i7|3820eazp;-0)e?-^!}my#M~|nwfuZ$ol{O>;Cii z`~TLj|Ia^H$Li_#u212AypA>h@vr}b|IHe!h}YD=&p}13EB-NeqkeuHzto@qt9{_4 z`QPP#!ax4c?*sqO-`_tw^!uu|Q-A)iUPrTi=J$UIjw&!6)3N2yCYY! z?MVOJid4H%ueVwDmCQfC5{-bK4o)HS@2Nr?C?fKlOI7plv!_Rcl2?uY&EEWb9jI;a zw2O5^tC@d)bxMv}`q_z>)y?mthH|i{)HJ`JT4X(KUrN>LwaxFVHn}f4vt$3abj$4zPd41ZN?|WNHp8gO-?zZOp z-sh#;bw4veK6Q%iR+Kd%lHH=@s=CNUk%&#ePlfAd+bKhAeBKfjJN|G^&*CUoj(evTcf z5#l%+uIOlfo*ijdT)^bBR-MexwG;K;S=%Q$yp#F)cA`sf^6S+<)ye#vJJD#DZ=RfL z+1dQOJ1b9YL1*)G?@Y6fw471rpU&pz?@YBzzVtsC(&%x|q*J7dprBK{L9T&qo&;QKk5tSolTtIdLKW)2d^>Bs}>kE;M=htma4exR}q4 z3)$cB{3p7$tNHx6(gsX_?6X|W=g5_uBQ7sEgn5FlyRLL<)5_2>{kxjaRaXjp9NMbN zcU{frt1CTj-Q?qeD&5TItQ(~x1}kzxH}iSxMiusKTT=0QH}knO=&Sb$5&L===JRJz zTccC^@C}Cf92zv@@W;$jCCPjq$;=lc^SLB?S^UVL9b?FRJ~5_mvaUnPmEec-ylgj7 zPM;~Y0)Hp-c_kV+W|Yl$*4@qLwmaF2Fr>Tr{C217Tb<4YM07WwaOWSzS?xTm=;dQw{b z+xv^=^fcE;PwL(C_*&m1J%Fg= zxy~@}NZfnabE=!U-rT76!sQ#+?{zcRog3ZRoi^v)-)`pm>rLA(A&9w7Z*v{?rsQ|s zgV%ZXHrHcsGHUUG)7xB^y~(y)NykCEdYkLBH=P@Pzv9|^z0Gy%Zswo3o9oq`My%a( zW557+bKQc={>vA~zXG3K&p~&3c{gtB>+jsnb?i?2ZGFD%U*K-8XLp*67^gK=`8A^VuOefp*JG1qw?x-sWUtJPcjnCra{ZP;YSQhMJ^PybKwq+U7sY++X_Bni(~JT(Y{qxzF^c z(OW*Qe0;9Ix!?4sw!g7aaDch*44`*U4@WKTIKbS02GG%p>%1S08er~2187#eDbC%O z4>0$m0p#m9s@|fr1I&GC0M!=3-2iic8c27SI6X1i4m9_vfwb+X@)y4xIndm%22%3X zXZs#38fflY1BpJJ|GL|+1I_(wAlWj=(6#ZsV}s0nZV(l6&eNMg=6>fv`yX1rocp*BR%NHKzKIlRAo*OsJIpksPhaPkzo|T3k=Dr9&T;JV4t*GQ_?vLQ% z3~k!-1bo<iY3`$* z)N*@J?D9>X=6(u}=%KT>emUZ4?yHy!{n2gkvn$}d$vw-HuH-YQ*wfr+z3Ar`^}4#1 z_cHfeFIsCe|GU_xUgo~*MboO-G+IVp=KkwN(T&F~J{I6*?!#Wntx51Q_hT>W@W0yo z67ZO=_y0i{+5Tq>?1hEGxp_bTV4}u^ewq%gRWMix+S|wVo zv{d6;ORAPoG_5UFt^d6_=QZZI_ssMEJ=e_K@AuC0aOQpIGxwbLbKdiw&%HCb(|y3~ z%FFxEy4=T5+5glZop<%2^|_DXpCF$R6OQ$vb-It?+VtJoQ9t#e^}3JYr0}yQUkcwF zB6YiuVbA7e_@3~0Lqx|4fA^p8teIz>zO;__HB31=KCYASeP^Ou`Wgm)cct?9{(Wg( z?`vpZaAPLnKD-4wvai7_FGKf*@H+{l&I`XoQ>awa{9=x69W?fvKqefrUTqF=%N9}Q#r(fvaBUd_fv^T*8ZNB50>hP>U;k0XV@MDK}7hSnS%2YKf@Ct z+H!OJ=sx6U__=TK=^di{=zip9z{5lDj!O2U`;wnwXUOd#YrgiQ`;(s`eBsB!tp)t( zKILZ^xBi=Mx1RaY{i?sAPkj4BWh?fl`&NHLOG{#t_QKz>k@J-PhRUaFY#V9pPxrC@ zHxY=4ltzbyfka&ssVJr9AH?V z-un-WX#m|f2N-6YJQn!t@d0%I9AFqyaAAA^-A4x)I_Jjr^m#ad?xzC{4gM;NhrJ>E zZeYP5;tw>GDmlN|iuwcT{yNZ*SLNZZ185-KX9tqM`}H44_uGL6OZyAUOHUq1_uYYp znBLuWt(OVkn=3dE9cY;Qsb$L0oxHh9- zXj$+>3jTDT_cv5-JJol|Z~k<@_c#38#UY*Brme}(Ce)-pBv@V*MTpk zuNT8{p;f;ApZ6liR%iWZKS#>mXM0^7c!SnRpX8ePIQaa)lE}xA-A1Pi*vrR3eaTGX z<6xYQZk5lgY%danI`c|-J}zl|2nk`;6*(FoHhf%HH6QkLR%|+{dr$|3(6z_^5Cd|b zxBJk~yMYR&^^@{-JlBhiRh|19tC!pl^7RPlCC@{A9O$Lo{d^qgr3hx;Vg8|oI+1^X ze>}iDx>Y`}?s}0J)R|Yx^O2|VAtZ!VFFn-wu;C+L)qL2~OIgQA-Ge$PgswgQhZvC4 zOF_){{#;)#J@X>drp|qh)k{8K@bw7jCF7TT9Oxy_3_cF@QU){c>{5U_p+C+)9{WB= z*~;q!T`e`|mGXSJX?zF?Vbx3S8Xq=%lvXt#_Vki2lhi$^gN~|eT0gGAfSg{6I%&Hf zy1riWQ1v=x^-|C`w*0f%0(vR*3?B!2$#|NN1HF{T%sbmJ)CvEu`Nw15=O|lweNbN2 zd8Irbo*ExQGF$ahHH{A&KD<=ThdsUI{XMCBPzN1V*R+0Ig8@0clzG;6KXiS)R9DsO zl+{a7=WY3Cvjy~$=|?^e^it>#d>rT{uPiO}ZCK8_u)qip5%fnL>lr92;vH9mx7 zw(2EsjSm|>TBw{4>H9L|T%h&tB5CdFs>=ii_0m!GPwU4u7?9IdUNnDTl&-I<%>R|^ zIlF4{f+@(aPFlI||NGV_uLtW%OLUr>F1s+9!Q2Y)eq#F`r1-<6&7(Mvinh40FNhs` zg0$}RzH9ksY;j)S65DW=v|beFd%+eLO6{m@;)ncl)mC|3;-l(3eMSH0@b&cz{r?Le z_d@?);p1ND|4V!v>}TOu`8a3go$`6rUe$S}JRb&)4zJGzQs`E;DKKwL3gygpB7JrQo8$Jf9oDb>imQlZvdS|&uT6_A&@H@dly>wPR z)cSP}19I0bvuXaos9gWLWq_*JGpnmifAVz;=qk$tJ`QwMcpe`Iy2|@L9|v_J>JL5+ z^2X7v@;V|=)p?~nA3+))LQ-3G)i{k08$N+S650`2+{`($RHL z>(99i$muF?nm;f)*Vk1cs$S2muF^f@>lV;e9{=!hpsRBJ;^RP9g){RG^A9c5iM*%$ z;{o2$t@1h|RMmNZ&k}4;wxfsGJXJU1j{2)Vm-Z`5ucsU6oge;GkYQ zx(;gnIhO%BT@_CA2S(@mx++}N>zUP6{zduULjzqERE&=UUFB1Rj{{wm!^}I(KeSLM zjBfnn0p8KA@;YL(99i$myyanm;f)*Vk3is$S2mt}?&L*Dau{GRp9ApsONE^Kqc7d`j|hP$y#F z;Nu`~9Nj9fBVtvZSIYCTQ{zKOYOAg?X?)o5k)U!uq;*xk2dQ_S#DrkWUT)k_jC0=z}GFHs|*%C4s?}AIv)qRDuS7Jn15)Y zPI&F-9}n=3ZpErtNaz&eF01n>7y|ouuyQ!|?_lM|&+1@HWj-G;Uzt_-I2dBZFamcUnWof@!0n{%2rAzkL^*Uv*(*-o)>k-gP!SC>KpqC7d_&Cr@xy-!7 z{6hwmU!-kJsmGdF}xs2&uQtvXGlGdKC z@@-CVP%j-_2etm3%YdA&%BA@OqjP;-bywBvnblR6R(#z8x+=3Z9|yWBss$ehy2{Xu zkApg4YRShz-Z;8dUPt7qItKKv#KnEKaZeKGkWrIpid)=d>rUg zpKg2{)Z5ti`8a3go$`6*sp`B^o{wr8A3}0l^{JP}hYcTfRnCXBK4te;d-^oim()k7 zm(Hq(TEEU=Ku(|fF#1eseX4xD*QbVt*d+oka`#FPg;ArD*q#b zgL>(x`lt2d8VtzkstB4tFiO|gRqa*1o>^TLFqp4fKvxBS%Ey7OGJL|vfv(DB<{joA zTBsAggZRe-yrWy?b%a6Hd8IrbT{J#~q_*lRqsE5~AH7u0hqSIT4I%X|b0}%;=_=ph z1PArf(REPk&$$f9>8f0sKQKDi*Hyl%UeBzqvW(>G7SL6hqxd+`RZ)R_9Ox>;Fg_0I zglPmH2YKV@R(T!ar|P^?o)3SG4=f#wg4PHA05bcCDEhjtJaX?tI@2oteQ)SpYgSEi@eW8wQ}?Dbh) zVRFDQdVT>o_I$&W;HtUmRhMCMm+{y?7wP3Gf3pZZMX z<3OM0jN{{=-Wr4XIJt4ZZol$*6{PCCQl5`-8XrOuTlHzM#)l0bAu8uXTA#*FA@wff zGt%1Ar^aan2leuG*FEj{uEl_yKFy)|1EW=1pDJJPLsh+=SzTqG!PhOIt1>?4<3LwM zgz|Bqt9+*NaZo2>r}J@;H;!(V&#RfL&MW2l2-ElwlG>`P7HE9f@DZ+ZKBRS3{!CKu zJm-+sp00`wBRHs+j;@1Rf6iqh;X(D)$9^-2%GGb0HrGx+-@r z9|yWBf|+-ie`ujjgTxc|J@UA3{=Fbyb4KhYcTQmGdF3t4ym% zy~|upT6?-GDw5!!UOKuCYW+Ev0XbcjOY;Xtr?jpjI>KG&U6}L`Nfa3J@`~q<7`9>(kh0*l_IClL+P@LB$vQ7YJq;^m=@tY_vbcZc2mf9J+ zh(CkkvJz}@`PBB@NBq8&c&~M~-`~qmCbnl9_?7;B>$KXW>;I15^VCHVJ|U0U7WApd zMm`SoY0f%64)kgGT0RcyZQgo5jvcR~Y~}TsMb&wwJRe6iK7?ep>eCF34;wyCsGJXJ zeah~e_Vj6945^P$FCA6?w0>NJ0XcmdPIVWIQfYmve7(<9^?GKn`}uF<>lV;eLEHH_ z&{aNL`8d#3In2Dn{6hTGB~`CyR#%z#@O2C5s*JsS9O$YD z6CVe<$|sJGgE|qrn~#IMadfM^j>u7UUMbJVb&U@psja#ySL4HmkGm@8Lt0m{pUc?O zRk7tseS~`H=sKwN=UfKlbd?YNTn|R)`nt-i9vSO@$>)G)KY^`w z9r9WEx+p!q>c@zxE_ZRYd@UNtWak8!QdGS!?dP?c|9GbHVZ(>64q21x)GPMREAo$M=M`+t{a>=>_RomJwz^UI{Zr{W?xyN>%3iMx z$gt&~%}FD51Rv+)KzA69@o}I+a+!H&`_)s2FXkVQeV?Oj<@J)gs`E;DK1yqR2+3^K zOCA~@Hhh#Yd>%Y3=FL%q)U~ zdg-Y8r}g6+49Mxz0GdBAN~QIw^7X#4s@F5CtGv(ibqnY!!;gF%=qisN_&Cs27G~aI z{-K3B;dPFGJit4;RX(r0Rh?JL^U*@%Lr7|?uJY0Nu;HV<%K4DiRiPJ1y^G2wtvy}k z^&f(Rdg=h2{^8&h>SbLDlP-)m7n_`ML#kRn!$e4s=z}&wL!{DvyhN z9Mp->OMD#UjiX!Tbwn3c=auq&7&ShGq_*m+UK$@ZeE6!I4{2SMb(Pe+ykAIbPgjNh zN^npw9bE^t{+!EzoUZb?X1i~?zOM39^?GJ?RnARY{@E-6U6pr>j{{wmah;C?T@}R4 zJKHbRiL4v^is%S8olgmOnpo|6{hchy$;eKV*IiB+9{$HeN>us`_o2>LYQ zPd*OxX~6G%9OzT`dwd+!+u%Gt&RKb%8lv%G!$+vf`H^^Kyp9Vi6^%3f&v+AMNuX7lX)2Hr_ZTC&3^{Mjpex|C|GpnnzpW5=zW(Vl1+`sua z&{dXvJ`QwM05k7wzfdPK|KcByeV?OjioB3=tntFAEIqzyBEq+q<4Ryo$g(ScG$J<#j})s`E;DKB6=}gcP^xs%VW58$M!H&WE(F3N1$J zU6ea%?ddA7k_4xBZaLI?cM=0~y2?WH2ZrVPx@xDY*E6fD!rvh468L9ZBXvZ*$;W}N z3M$3N!K)r6;2GN^vGvp)TAGiOe)sG5Dz76JpCRfP25OV0=3du8nT zftlh=G`|7I=6etwuyGx^5gOq1hly=GO4>|%JYy9SC*Xpq9Z}6Te&E5?TIKgmi>m7) zt55Zw{CPCe3H7PW$ALa|ugJ&2tLAd>Ogdxq)a_Y`kCT4)>-Q?3S4UKxSIYB|q46Q4 zu~na*(D<<7BU9ykNb6H}f3>GiJ!_Eq2=(&yS3a!=S7Ja;pPCtcrnEj)zTTfv^?GJ? zRah;)ZZXm%im1)UfvyUu$;ZK~?$zO$be8I=JJ^ellYaN>_bQ)PS*p$}<@q?T@gbzK zRaa$eeAw`DN#%S<>#EE;q~7J$BdtAM72JT}^sm3ysV`Xuvhcn7@V8m;m=;<~EyN_jqV zH9mw?x9Y098Xq=%L{pzX1t2w-bML5@1UPt7sIRpr%Y3=E%pmqeOcWybC=oZq&`BueEpSA>%o;6 zkkhCBj6PFZpDJJPtEqZDv${%ehSCi?_d$m zwUy5+FIDH2@_f|Q_z+Uus;l%GA2xh6RyiNix+=H_sdo{*NNZ15d451}dgqoyt#>Ce zAg8O$G=E@NuCJ@SRlS~BT@}`ctV`gZZH?3s(U*?{T@~;l9|y0x_l9R|kHpqfcd#!X zC;jf%?^Rw$v`}?kDbI(G#)pu`R$bLzWDPNWIJLPg;ArDtI8l>0f`z z(|T}02IO>=`v8&`Fl5))Rb5oQo>^U${jn|oFb~ig>66?~_&Cs27JohtUJYR89r}Y- zPoHFd1n+=XT%%Q9M;KL|SIYCzOXEXGb*rxO)%dXC!%yXWNb4%E!KB_9hLF~tuJRa0 zaC+A$i`pn0%z&J(3ZVG|!%Mc}b7p1JZ9R-cBB;LoFx1`|G# zj{|+`Kb((y@#@eQ&m`&6Q*TfpA1C={2RN0_t3j&HE9LnJ(D)GY*s4zhH9lC?J!AqM31scwwzzNxf6RleSjQ}udgbyd~`TmIRUF;Yj) zL_Q95m3bT=2e0}w^Un6Gr;d#A@D3K?TwD3P3RZPqDbGiU#)pvNR$UdU@nOTqOqKH? zt*bmIk$UGdg|zl`RYnNG>782+wcee?fSj)Kr}+cJa(!JDrt0;~>MDIGS(m^++Zw6E zXF4ATy2^bj9|y0RnR#dX)l-M(G_&DizzkaXsIwDHdd8Irb(Hb8@8e4T$tj328 zA3IgfhqSKBoKNaq?n2Vq(^Zymg44hLlBf0Hf(*#%D)&VsFJQ<@>nfrn+;p*Sq=&p< z(jR=UjJ@s}MhB8zlRN>O{|WLto}nj6YoW(8((?Qk@fwt37>q>(zjSMYJ5PjyTAIC#~x7@n~`5?fE*9?SSR>36?=ukv}7pz6F* zo)5FehmgireVV56VZ(<-<$Or%)1Z~4-i1ey)}B7~SVM67*I)9q9$b(CIeluP`2#~% zTAwOk?~kZ@J+rzhbRAijz(3m>sUv(n9|yY1e=Q&P;?>nJp0QmP*m~*>isa)Y-|PUV z@_Ch^>bz2(j}sanLLOUnRi?&=4IgJz&WE(F%Gf~aUCu_*+S64*n+Z2Q$HA-q%)CQ?(CX=vj2L(a zyy6p#F{=jftUsqjM^?GJ?mEJ_wCGgL-M(Xg{&BuYRa*yNV;8im-?`*$%>hO$* zcd!WO+RE#QTvg|l@_gLY_z+Uus;lxeK5Y1SsB%7}bye^lQtu)XNNZ151?(d@y>rW< z*1MA!kkeIWnm;fsrF9k25pKF%H`0TFetr$#7h^xq))ghVD0)2>aP0M2Pm0TnC3y`v z_I$&e;*4~?0FGTh5WlOo%I}-`s;-NyKFv%ac_24`M*2c_Djx^>)MV!4;8ouwcqZMm zp1Li`e4O;VU%yxRyn3eUyi%SIT|F|3v;e-C(%2WzT=|Lee7I?R2orAA>+UM&Lt3AD zq?3B*eSoy~^r^){aC%o>4BFUU8v}Cs)R*QDbgZ;KRldHJR`q&jb(PlUo6 zA+4)|j*)s7oOOyr2+5y>xC>)OvR`19G~`MDqv6qqMGq;|2~58R|EB{D^)d zCXXI5MW+i9o{O)IA2D>wXOl;aA2A`M*XSuBO##pNo5}c_%lKQ!_*=^OTgmua%lLg{ z{B30XO}*(0Ok7PNVAc--vwjGe^+Uj{9|C6m5HRb9fLT8T%=#f<#@|dP-exlKHj|0B znM}ORWa4cm6K^w_c$>+@+e{|jW-{?Mmx;HzOuWry;%zPyZ*!S=o6E%8TqfS;GVwN- ziMP2-ye(wnZ6OnH3z>LZ$i&-1Cf*h@@wSkOw}ni+Eo9strA)jnW#Vlq6K_kIcw5TE+e#+hRx(ysc&8Z7maTYngak%f#DSCf?RE@wS$Ux3x^XJ~Hw8$i(X-6R(d_@GE{AFnliR3r|4MXzl-r0p+iEG*ppGJ_^{!li>mpsr&}_ACUp<$;OnnwS`V(ofZXQ|o)>NRL#01&0DWLAO4!IvBmKeo z1^a!Z0E#ov&(i?Me!dn;aqem4b2PwteMgS(P5luRXJT;K7YHsto3v3dSzhD`954J^ za{o=!S<(W`(XI0Pp|Ku`L7m@!guH_5Fy2?mJj%_Bk-lKa;p0GedR*q?;8n|i;F)yK zdg}JN!pBL!`}KR3&#PXl&MW2l@YVPb(%7my{WLyo`0!UXANF)-{&iCKpbozNil+78 zN({*9&WK-a_d}(1r}A}tkgC@ytCs?DZTV+&#z-B(xA{2GONN_#9K4##%sbn!o;rMQ z!8=%lb8Y4GDnQkFr92;j8XrQ6TlG?q#)l0b<5bRv^!JBNcSyafdj?6##IM7v5zw>eMs^K0yV|ygF zp1MtWe4O;VU%yv*9TB4Hyi%TzP>l~Ejjg(BrpAX2A7LuzLt0nq9+Gm4W6D4B7Q{)dE$oXI58v{7u#+@XxkJ>hOBT$APZO%je_Z)hK4( z*?#rlcna?ThikOT>xghw=auq&EZ6uDQr)VnA~Zg1_=r?FAJV$Y{~uECLZ6e?p03gr zDp61nU(`$2D397G9K?W}u8N}h1H*8AT@|J3^~~z3AUCoufq%9&Qb%Y}J`Qx1u`nM; zs)bIM$ILt1FVqSDBK+gA?{k!`ypD)gbzUjYN36z&kjz$HwNvB6h7Xg<`HOYPut#P36K zVO4B#CTeF^BYt0s%dTUK)72%mSAEh3QJi-ZTbw_&L*FI-Fp3LrWs5UYJIjaofhR|| z%I}*As;-NWS3Yzi+{^Ii2lT0@2OkIeG`BP#2l_OkBp(O$HvbJi&e8b<{VAVUW>x2v z@_eLed zGBrMgq_*m+Ga4T@d}OJd4{2S+UI($Kt9)ya`Uv&X(REPk&$$f9>8f0M9Suh3`nu}8 zs@F5Ct1Pwnx&?GqW^FzWbX8PMJ`Qx1p*kN2b;9Ju$3fmWx>a6BWUD%_l;`7;#)pv9 zR$Y~&@nOTqb(QlWt*hA2jqK?vQv*^Tpmmq_q1SeuCJ?}sd_!Lx+A9`n6+rF9k25pFs&4c~I1 zSiv*+{(la&br*?0iZnWXN0P6A^QCrhXW}<*^9cIX)4<1pKFw{<$ALbLXv@bzz0L2y$Jx(-*Mm?# zuga@BuaxJ*Q{zKOU8_E=rtx9JhnLFvkk+T{er->m=650W5$fgZsdm~?U6lbjeHuaa z9*kRQeX4xDudC|y%<8HDBVV_Gt_psij{{w0=*Gu^uF7TR9p)ces1v^3`Nspiqg&WZ`jjSz8{eK2=&s@bx`ZixeUnZs$6<~ z3`Xbry2?k@>zUP6mOgyl0=g=*FCPcGD(XW%4s?~FHy;Oe!sN@xLEbpJRbEH5S9M+~ z&xb+dLr7|?uIi%kVZ(<}<$Or%D)#drd%DUrkkm)0myWK3T7S-EKu%W~n9mbkUsv@~ z^?GJ?mB%N1-2%GGYY-m?x+>3~j{{v5#mqaKoiFOd$Nb~5?{k!`ypHfybzUjYho8oW zkjz$H<*)H!!^a?%^C7LP{0EbI7dnKr_H>nQD8ap`myRlcT0btqfSj(1qWJ@ZbbVbF zpz8I^>Z+hXzHR|s6*_{C16^et#>auK%46mo<{w(96aK^b#{;~hTjg~`psMpqc|L+P zK7^#U>Z)-XA2xghtDFyMU1c6g>Rnb4Y3=E%*s%l$_0rLGQ0vdR49MxKJeof+I;C|L z(GhOCoMNO0Z+boe-|J`35ArE4oaQ&+*nIaWPL8LaMDiMNzSIt$Li3&C!e-dwOw`Vt zN&FDMtG3GTn<1*Mi>y9%pU9s_(5Ifkd>rW0+;Myy=+lTXd>qu<{PBF8v+_>)yb4uy zUMbJVOpOmAxvly%Oyk3bj|D2{Lt3A*`>;KInjb>yBh*W0)kCdc=P)3rPa~*~gHb81 zPnECt;i_KGtgZ?O}iDx>Y`}ma96i zl;nirTg*{#6JDb!;sF#kegIa&iWk60>(_uUkM@WzOT{KvzZ0;p0G88D{ZuP$x`be4MkgT6rB2tLnT`o{yaxA3}0l zb(Klu!-kIpmGdF3t8@!Uz4KZ`T6?<6w3y(aUOKBDYW+Hg0Xbb|p!ox%a(!K8R`q&j zb(P05zHR|s<+YrT16`FD&c}hSiely+<{#P@bz&+1cz}0wtGtd#Q*~Y`&xb|hLr7|? zt~#ReVZ%p;%K4DiRsJhTy$fAMT6?<6xQ5_f)JsPfLajfiG9ag`qGTPT!A162N*X>t6 zuQFAgSIYBoM&m zx}@s7Ql5_-jSnHIt-9*E#)l0bxhm&FT37jQBlRwL2Wjo;s{EY<2ldj?bx`ZixeUnZ zstB4tFgn-QRd-dro>^TLVB+f*&{e^^`8d#3hB!VBbX6`h?=b(+LY?r9=N}L7j&7CL z5qYZ4E9LoksPQ2rwN+Q;Ykb)7@l54>Nb4%o9#Zcz6G&@MSNSFp9Mnrk*Fmj6=Q1Ft zt8!`n!023GSLqs%vHo}bUZo|OuUkM@Wv1|PpsS+x@o}K542gUk)CrTBkAu8%bgR6M za8q?&DbI(y#)pv9R$WzE z8EF2%=#T`&X1AUrvfRBTEYdp-yIVl_B;^l1*G z&y?1u%GZ0ns@F67d8+vvIB_9X6%I7#A2X!L$1Rv*|Y}VtNyRj+4OSGk|%>lV;eo>_bx=&IZ^d>rVi2xi`4{-K3Bk^e3Kcz}0wtGtdd zs5-Bd=c9|phmh1(U1ikxu;HVZ%K4DiRleVodKY|-wDxpW{&|9fdgA z1kE29o$Ko=UsbPXR#ydN^K}d8s^E)!9Ox>;1wIaRRW38{F#pg(o$&pMe>}iDx>a6B z_^CRtl;^`=<3mVltF9WP@nOS9fXexh)>Wqekb0MSiL~}~Rn%32gL>)cI;i#MTn6NH zRW8jR7@g9(3cjb7Tb%TeMX$5M_sZDou0kOzc%8m#eQ!$*k9`HCxc+d=auq&L~48pNp00tQ5qjMd_=394{2SM|Af>#&!?odr>kQBCOD{I}hkrcw zeU7q~*AY8aoma~9Vbb^zlG&=O5;Q(+_%N%S4{2THTZq)z;3A~8r>hLb2oCC{qw1g5 zk83a>r>i1p{=g`e)>TADxao{^Ll33bS>gL)>~+@wip!$s4S-|MBXa0~gMTYl@CmsX9O(poc(?}=QQj(7YeHvbzkE3a&^DfHA z>1n@F?tGlH@=p1@vZy+*l;`7!#)pvHR(+bG@nOTq36=99txxkxk$UIxCTZ>I)2K28 z2ldif^-$~AISk0@Q*W9-Fe;_>sq*zcQ`PI4)m6H3eBA=N%A-6V2f8Z9gO3AU70%2% z%s;eHC-Tbjj|X^1x60?$8CB<%@_b}zdZPOWpw^#r8IaRe;WU3>bgr+fE~$Dwv%1Q^8eg}7t_rHo$APZ$slvyBuF7HN z9p)ces1wGj{Nn-M(XH}2B1hGEr92?y8&*XFgn-QRe7pj&#bO8*W>FJ&{Y}r`8d#35q0=D&{aOQ z_&BH&v32=4$Qwtu%Ik=Ss?ICr`N-G!5R%%etDb3m*zlpFB|@FQZzrlM@w+upH_Pfg z3QAah15)oi89QN~ag=18;axt?S$U^?Ub(9}uaxJbw8n>!+*W<+q48nE zM|qX=A+1lNnvr^EX+c_h`qa>h;3yf+Du-IXPGUe#pJvnifnh1FPnECto~mBYtgbS( z;p-M7ofu17J`QwMcxyh+ogUA-B_9WMBFcx4gS>Hct9)KnQ*~Y`&xe=Bhmh1(T~$}( z!-fyN%K4DiRe9}5z4LgFwDxpW6e2iEhNH`%)}NCZkkeJ(G=E@tuCJ>at9m`Nx=PoX zuUm|CVm!L=aiFVm41AnBJzh97?=b(+LY>I#$Uh$79o;IgBfM3eSIYCzLgPb7YOAjD z(fF|8qrJ-ckk(bkuB6@tbtkPoU6p4fI7)`2%b?bulNpfHRpB&$V0f;ts|>1M&#bQU z_v7mpBb}I_{(KzhDxV&FoI5>U4m0mC|Ik96F!tmh5Acp|mDdqnRGnAK^Woo%%)B~3 zZ!at)r1;$l@!y-mKk-{gFZ;>}w)l_ru{hBd-~TdB^szYcb-1^YxE5cwD=~Hj#;(ZN zWf}V|#xBR$3AB;zw$CvF=j9r?s-(YMp{+Hh`^7gU~TtI)~LV7uV@e6)0 z+w~Z`K4aHn?AnZ7hq3E2c4fhSd3;qEyDDQ>W9;gTU4yY}GPajs7d$c+8w%QprH0*a zjhOiMt-W}2$S1WcMJJ=0v42k-@DtW%yu+4bTAHRorX>|UDKh{w-Knx_aBWcyEF#PsgQH{ z+p7D}&^~43*N#g>L$CbWtK9xnbm4U6rR}anqQo70N^HNs7L9XX`Hf|FI_fg%)aGXu zSKuSRmal&L#wuLB!NTdQnx~`kcW&3oTO5y<{dI8L+wEe|RL`~lep)gWO>)~^zFn16 z+~`qb_ZzcjV*gct5BTjwBKqR^l@k%sX*g(X7wzF}1|Lr|eK>h>I{tIkq}@F}S&ntr7nIoX z(MB}C;#=N_jwIvg4^n=-5oyAMz6tc%a@LHZpFE%R#e#HP<(GRM-819y=VKoI*njR) zJh<7))pyIL;9Zw_8HU9pnao0bS(X;11L%#@$Ll3L1{=M&=HTaF= zlPb4vnTF=a)f>>Q&MH)Qc=}&+eq4VBA~Fq5ZEh;2Z{&*F%F;t%sE7BS7VRNMBcp9Y9oXhCgZTT~~?t zgy7(O$vN4s_3A7J-Y!S}`4@3Xnn+oEUE&tn0{ zem?6(abEQLBH-BTjXo3?O4keE*!AN}ah^lTIsu%4+5y9fAFf{nuORnp1>RnFt9)Gy zRCQfsuTSNFO6Esy9*pz__W(W)<~Mr~A4k(!7xpn92lY00Fdrv3?$_;CKCgmQoma~9 zF;3${NMh^fe!&_aHhhGroDXSz%I=%?^l5G&sgF=EUw7Tpj_+Cw$m!ECs=HvcO6ybQ z>wT!I*E6fDe1rJ91$0%wXg&^fmG?+K4s=yEGw(3}&_bOsjN%^;@Q!Yk&#RfL&MW2l z2-ElwlG>`P7HE9f@DZ+ZKBRS3)EH9lEaOOPPgfZx5FFG?N7q5EKj$(ar>nAQ{=n#5 zUso+x^?GJ?m1z=Rw}7s)Oy=W2SA|dH<3Lw=kLTl{PDBOsagaBTZk5*&5vtBB<@t!z z_z;rXs;idDHxX(Yd~^ zidFS`W_6YBbG~i?UF9*8j{{wm6UxVdt_o-79p)ces1te9`Nspiqg&;5#7%qr(YT2~ook$M+2hqU%|RbCjuLA`Wz9n|`BE(3D9DxBsIjL!9S zRhp{TGpnoo7w~lp=&GQFd>rU1pLu*7=&BrM-eLZsg*suJ&p#gE9o;IgBP^=UE9Ln( zqVXXlwN+PTXnff4aYE&MNb9QDMWo(kgp<~ut}-qqIH;G7u7g^C&Sd~}m6;ABl(sn$ zuXo>kwcZm2P^b|3hQ0VVx#9!bBEl~+h_6%@{u6!TKY}ERpr}ykM7wZd;b=I6QHQmguVDFMf9-Vi})*BOP_dN?MBoIk~7t>WVd+d7@k5+^mhE*VsNTY;aAx$V zyFFXIhfCk8GBT+BT)b=kqd9LrI4FC+gX(p={57xQTPP;B_nTWo_M;EFHeBAsZHest z9p2k}Ci247+W25j>3?T8O+|U}CwsPDvK!SZ{N}bE-@b#J*6tJZ(UX0s<*cb0pM7OU z3l3iXX4d2uxO(jgAJi*iLcd=>H~f=gX{by5t;_ztJ~*KL{6+tk*n-N;n%1bN(Esjt zd$w!2p&d>s8~)RyQj5@x6@$0W7;8aIQR@~X;t|&W@K5x-XVDlB-QKa}mP4rY-q1P^ zG7;XpCiA__6cb)P_p@rq?+|Jw-cI5B4%n-7`zJNtNye+c%gFp@lLbv1yRr1C2W@bx z$(JMl{5T!Yb)R(OZcI9=_|G=s&Kxc9r*D7baq5r-d)5D?Q;p-vXhQ4bt$S~6f?IYx zKTFs5Fix!0xy|=Udr->UkmS+3yzu4vml{17a1@8?OFmrEejEDw)cwNsiatKJ`E=`_ zFGU^0duvTvwX4huJN_nWw)Yku|khiT|L zU8TTp{#=Onztgf4>KBhD#>_c<_orl3xx<01b?yuBw{1e}w|L)-3VpHottQhG(5JCG zGYUt|!#7VpTu`q@8p><2@sIsK>_AhVw0ZC2=(%|E)iE)aY6sAGufgL!emfHV^z+Du zC+f__=X%tN=vnO`^6WOF&*35KaIY`($~LVx4`2MW)QpLx527cxL(dpS?8JTVzjvzp zvibO%C(FA8xg9{sEkBul`gsB#v9yhQ+m9FGf$L@sbbFqPX81k3TDC$8e!lv4*6rzw zap|_TLbB?a(cKCaFO>;R!~15gzjgfb5`476k`iO`;}Dj)Z-_YCB`&AqkGtLJuoH>myuEsurMQ#r}w;ks``Db&b1}ky!ruW+A z9NLd&HlCF`@983Zb2ah|y&r?Cv~HO-^SgBPtZLf8nq^jCl83wShLFhl7v0j(;-r78AnjyqKRmCUZ+!bht8t6Bwv`<>XcfM>_xkW@bC2Qv z7pHa2!wZpjx4I>p{I&%j%>Q|dSMpK(b@f)OHO4(6L2+?!#x!*A4AlWg(7{xz9^hOu+NcChW(jYhAnP*DMyd znQdw@Y@`s+z$sw?D_5e!`WZRH&HGW`jl|TpN{JM z@5YYH@v5&{?G8%Vh1xwGlGL?S8v1fXg;qrdMPRx6^;nXk%3i5qM$HO0tk$t%BJx;u z;+t~^*I>E(#oT&U{?y!osi@h_qMAN-e zjOBihz)MOQc7)tsh2Hp}3*JBb7{0N8)~ct!Ekxm6OSfD8{#I0~cHeXF#2v*)eE#@x z<+Yh;r%(;6pNK=9JIr$XH}5bG`E>XO)0HvEFDJ07rAQ*0e)ER;@0AB}^z(t$+x*Z5 zH@UO+($I3rC?e)S^2OErvG>JL^H&olV)i~kjp==Y?ss|LxO03OnU+$44{M>6z zty34~W4NzPICEc{{XZr&Klbi^)H!kVl}Sst;Jah~jQlZV1%6PpN!@^uZTMKZ)K5#_ zNJBsDSud=d>A2>RsiVIfx)E2oT4}?cv~+aBQnkz2u49pY_{^xI8O6S z8Os(w8HX+x_ex)~b{YEn%tu=%_u7vdcN;wR_kIh}rnKFMy0?nQ#qS$p{>)85e*J^I z)_>be_C8Z?9nS9`T0Rnw85Q-PzQxngXLr6HHN8eO>UHCudwkJ&Bv!?u`6=k4o9B9T zwUzAso}zb)nY0#_PrOv>Ov!XKDS3ObbKcSD9iRDl$eAQecuPWgl~U{NtvwU(6=}Md zfX@a#Z~um;a6hD$p+nY{`V5^IvbN=&T6=Kl#-TeBuA0$GuXV$^{~CcFJ&3Da;ba_s zvvK!K!+xO+>gSc3nj5nn#Rzx1${Vv0kE+|L zPPQcl9ot&v-OF|3(B?G>Uw+?zDXzLj+&NQGo01+yo5z_@l+T}rz|~3Us%PP_;b)W3 z_EL8~xfwDY`+YsOUdV<7G-UnMG4HfCqasnwf(<>VA>T>WLenqpMp;9T9nt-5MlCl~ zE&ZAQYV>qwWZ6n#aj0ee6NCDuC!;#CUzFY1HyTx~xFae3$u^WXDXzrNAEuyTfv2l| zb9g&CUftBM#^or~`f^I=XJ4iu_r1vr(woMizFijeKeBoWTC(o@%v%*w(GxGX>pe{- zw6NpGZfln%WBsP$=FENZX#H>Fn^(9t3CrEbsz-E%KILX5;f6(ur-c;Vi`sc6f2jK^ z3T^6itL4-sdvMU#A0X4R1hlh%liT{@JJ64VCU~D8x(l!JZN78qwM6t&ey_)8&zWTJ zM;4;*+`reZRk&Ka&d|$lkANWA@BJ zRU0Ou@;5tt*J9{iG`iBcUQgO?MBUDJ*}AIP9yG6VKl90p2}l$rdChj9rz6BlzYF=A z;#XzVOhV)Dv~T$D?5})k;(%Zqr9S3ngRmu4_96?m%CRD_r`U zty|HJPXh+%e@Mi?#!s3!`^%lE*xYrUmyL@@aRDn*Z@ZiD!Ji-fP`*$c8rkUGzqUS0 zM2Y!}z8LjeERGve`%2sAacIJ_W>o{%BqO4iR^unr_IICX5p++1kW593{QoJts8A|u zxVv0dm+V+{({23Z{GI)9qjAM7UZ13(Go`DJ_-EvHbo1B$_%{7+6qrwq0oPyU#9E;)@Cbh4HArrJfJu|nX5qkps`Zh4* zqVexV9GMb@R{hg>eeJ*Ypj$$(=1P08F8J=nDH}JTsZ~brK2kjy6`9&{`qyK&<2jEk z6VpG4Mvoi(aj@LoRJ19;=O^#ZYw@DsGbs(`#-O1&2cHBBdbHwI-~4ga(@^a%8(zt5 zzXp9R-p+1VU)lT9^}F35`trvqC^G+2iN`}Wp#S{3FeKD{2YT~hbpB@ab)PVOR8zQbo)F)Mg*Q*hi$({|Hf+A@ zQ7Ve-I%`e4achvrnxegOF2ta_e{H&v@_jm*TWjwp9U7$LiWB}a_LyO$^FADPuPN>v zY4~Qf_T@I!9f?vu4p_A$ay|Ob?t_;COsP1#N#WtMicCS(&yF%2t-K56ok$SQ1d{Rm zOI@S351N7UT1|{De=`w{F4$1_;(%IHM)-~oLkBv4IqZCT3i^HO(H339cHoLvZqzl`5Le%)&yJaWF96+fX#tV1UgVzJmldq5T|7qJ8 z^hM=o{|wuohDN2#*;1_ZWYl}d>90KfH=vafbK4)DnTksNKDq4GCDYNLvoFp5D{vQ@ z5nuTJ^ncB$Y=KS-LtT46{7YXa2@QxI)8tI2z39!0hC|tD^H8zFLx0|WCIvky`tXaG zQajM1n$aIt-@5?CHE8@tSV}s&*!ge&;}h4SZ@+E5{qqY8(VqRAb2i5vKsi579#!9S zKmO}-$Tx5Pu@!fz8umuG$23Irqj3Mk(0Zq*%-V|I>^|`J{kEG?*9!lZo_HY*ll^cj z&ik@sr^t6r==;#x;SYjS@ZidRRineV;I%n#2vnMpa1!vz>6MAttHj?^-zvKWx9#xz z$$4L-q4wRcAC5e<6So<1_h|n180>!X_^#pK9Y9-V`&N28avg5^arge^y2Rjv&lW%Y z`KN>EldR8&yX*F&1z|HwRH(KEPd!nqs93wJLZgMauk>(2Gk$*AN) zab+i>Q9s1psc|tH|5M4maG;<&9{v2&+$r65qC&g2b*ptc8n5q|etb#p0aSER!h}cB zk!Z!nE=P0DMdP#Y_Q)ENdk}T1mo$9Pq;%Yh-XAcq#$WU2-kOcr`%XTf_nrJ8`qJ;d z<aB66>34b)YZ^=VP(~z)P zrIzsCiT!q8ERvXE!aa+iJwx#UwCg|dzcwwh4(E=#^Vu@NzrD=*?nDoqdbOQ2g_vQKZZB6*|4{xN!Ur$4ye=y@}{(p8Lvc63C_o5>g*1miIJv8Ox zIt?SyDo^o*)`aJ+I=-}D;z302E18Ddo(jAB=>9(Z`@llSem*jn*4b3-f5v@cnNDUL zTRnJi(>l@UKM79udkkIk#;sz97n9;kv}lwH3bnv5*D5QF&G062f`E#)R1q%Cq@oV@@_q_ju^s){c~{xy z!uUHrxp8Ld!u=@zld0izve%%Y6P`@oS}hrGybzasw4wzC6h3hO=I#{SHOQ^%PdF9N z)PKL`)VX;`?mn9X4$Kf{%#4@RyK#TY%rrctbMT;(y>}tG`=SP{tbq^Qj>n15nt9fF zD;*!ZC|-d`M&sKSwtRFX7FRo0ZhfdB9oLxL{8HH2RJ60zq{+DRYHXU)_3c{z0=~z4 zQ!DAyQGpyim4ZIHe5cLrS*f`1+_mF#-dup>?x)%KKw6czo|w_}q~C>#l!gzVi)pYW zbr)jqe>$4p|FmA@F^|bt;!$olf4>vA({SS-iyk>+PDTlB_ZEE|6^mNk%GsDzHytm& zRJwJ}gH%+h01$!JR_%JBN{@6b+$?nK!1n3rhyI5Sf49htrv{r_H?4aBuPiDm()sA4 zCDRA|uyh|5ic?IN1qbk${E8P=Oxr-~c>+$T_Hkgls|WD@i~a&~JIXEyY&V{Dt5Ut( zcP+SguS&xnbvL0-_YO?mUUw&+YKp7-Td)OxST}0S$R>%X!Q-s=2IOtV@iUq|&)san z!}7zU-V(0=WIv3JEuXj?U-PQSYD= zyVYkmy1H|;Z;LV({8gPl{tQVnp@PeG)psJdkRjiV8)(5B-+KRHv!#h>bB*$m+t+PI zzjRFf?aERM-V^ru7Bt?Bs#%JB_VtcsXxm6*g|GHn@DF{bxBFsrGWscFK#7Wr_u^8? zPwSK}atOEe$=>X_WOnX_*Nx<#TM_qwK4?-!4EJv!i) zv-J?}@!(Wis}(WG>wMReBYxR|n|(HL>hYXI*yo5>?UwhpqoJPW>kTVz#Ye}-b!z|C zVcfk)XsNpTI5g(5p^Y5q&EH=4Tu)faZlns4qwm+Nfad$Y|U{Iz(Q zWOXDW*T3S?TZejHO9(%NJwB@$cE0`=ROsF2<02pJKvhSbE1U7{A-wq5;dS-e?m&%} z4*cln@>|j3=6F*Px5M~?&*qi732~@Vx!Jq7wqAz{PKz5K#_b_G1nT&O&PKldp7 zXFb0Nbhz~M+r>&oqg3QO;pZnu@XaEHW8UAq2_4(A@1u9Bu0TIEUod=qhogAj^TfbY z-D1&|<(u}cS+xSUyZYgZ4HJ&x*(dh-f7x{l{_^3`MLCveY*{(!tFQVT#ll6cvK1?A z!=H(l-8|#)vM0Yj{-(iUT;2V2;rhWl@K2s0opNLM;_x493R7yq8xocVukEu7_i0jF zD49at@BH-MZyCb+z1sW0U5|L&FC}`x50z4IXlYS7r{GK>OYWtcaO}!crTtE(;~ZTCx43hAaGytwgw)%E3oetKOhV7m z2T|Ue67l|Fb1rt6ZpH!MG!ibQ?m^o;3N7~Cm4sV<9$UdPB?TWSw!eqjXD8b5O*i2Z z(mp&Yt^fOhHPf(gQM~5)uA7jh(AJvW-1p&OZ@qK9?4>k(u36vTcSkQmBPwpoF1aZQ zuYdcdS8h-`9&|0U$m*^$aF;Kh{9Ei^B2Fx~;nxb`E7AP$^J&XQAH!c2obYVH@8w<; zcET8Rf8F%GNu7`4e|p^dGSzJxPHiw(xKtd6QbqFK`%_iFp~@o|L{ zQ0Cih*L*X_g2&g&>{z1tE}Uu?PQiDJwE&b{g9KPR@u$EB4^4 zU);=fFYL)*Z&v97$F~J1MEILAhqmM%GUH|gi~U%v!G4@HGUkt2lQ!aG2l0$c z2U2iz-^$P5`!xkukMutGcwaOQtQq)`_aCWv%!n`Eee@s+AF2LJT29xkI5B>}kiiwq z_~!+mkGQgDFS;~p-NqlD?!cvnwp?#+m4cIl+P14)Z5Q$?_+VxyPHvI6qsrq{jP)Jo zZ0jD4x|MiZs>86IxWt!X^#&%VVYgp%erS4Y3Gyr{?nFCqwdnBK z(BtoSH;PC8h2Ksd`}tw~S;SBC-~VGZo;mNt)F-+`w0iL9%DbOf@LNZh4?DPP9lkYo zy|6;e=+XA6xMW^B9{Eo2^n}VAaf$qvYutWGL3`4@OWlhW@=Z`1WXgl#&(}rDGwk-`6T$Zc50{!jgyS(wn9k_GB z0!u?{#E&&vcf)u4)_K_c(RTdm=iQzKA1T83j^OiLXyNnR|NrkDnbXPVxf$ZmAH4K% zt?xs;G%)R{#(>6v#(>6v#=w6q1LF6#f-}j^yjOVsvb{&J#b1kp*LO2^JY$;}dpl$A zVC=?%0!q{6GJC?DxG4>+HUd-5{vUz#DOBj18 zV=rUu<&3?8u~#zoD#ngr?A46DhOyT&b|ho3W9;>ey@9c#7<(vV4`b}%j2+0>BN%%m zV~=9&AjTfe*kc%bEMt#j?D32}fw3ntb}(a4V(iI`Eq+t*<$MWY?9Ui`Dq~M$Z1J0t zFCT9@W6xmh&l!6rW6xsj*^E7hvBMa9E@RJQ?D>qnfUy@cw)i`1FUKeTF5Antcqa3* zE&h(!%eMGCVlUg`?})u@i(fo_*%p6C>}6a09kG{f@pr^tw!Ij;7Gu|D>^h8Hm$B_&{;n6aBM_B)LIu3#4v{y}~AX6&Yn-HfrDGji?Mq%_6LmpA!GY8b|1#>%h>%G+mEsPGxh++9?01KjQtT~f6UmQF!mtE z9?aOEGWHP04xl#tj-t5!#QXqTTz@ay;`)2p7T4d)wz&RYw#D`LvJLAGjt}b(Y*>F_ z!}Qb?^#?YrKd@o_feq^qY*>F_!}4jkKVM#tqW*l@9?jTe7<(*Zk7Mldj6H#|Co*<0V^3o2 z$&5XPu|pX9Gsd3E*wYw0l(DBX_6)}UoUvyz_AJJp&De7oJB+dCGWI;ip3m3|7<(aO zFJkP)j2+I{OBj18V=rUu<&3?8u~#zoD#ngr?A46DhOyT&b|ho3W9;>ey@9c#7<(gQ zZ({7tj2+F`F^s*1v9~gIEMsqD?Cp%bgRyrq_AbVbW9)dwHZk^YYJ)y5#Mp%yy9i^u zF?LbL7Hf_84~}1)vE3QF1Y?(E>{5(fnz7$t>^B*^3}bsRc3H-Li?Pcwc6r9GAlThI zf7napQRgN82Y&-kco1!)?~rD#1tB7GD?UVi#7BW&5F{eU;^Sq%k2ksQ^@_hKIlp?v z-^}`co8vUs>BKpB1>Zuv4~c}orA{Z#iTJQNjv%zexe*^WenD`Fb0j`&{6f6qT!{}G zzYwoDXX4{!e;XlQaqh&2jbDgYoI~+p;}_x;=Tdyw_=R}IITar^ej#3QZpDXN9_U2y&@J{9J-wa~4ul7wIA_Qib##5E*7M7+?g zu5y88ooCT6bgQc(;TO8qRh94yH0!Fp>KD^WS6#v{(5$N=;TLGu)s*lHG()<-9IuZU zZ!HPD7;kL}zZh>F3BMR`T?xM!Z#@aW7;pVo{bE|_8c6uXc=Zx~G2XW&{9?QfCH!K% zjU@bHyp1LNV!TZx{9?TCNchEg-<9x-@rtpDkC*bWskh)1V-p`Xe!(fmCO&NZf>Vr5 zeAxH}rx=^~u<;8{F*fmG;}@J_Y~sVlFF3{6#D|SvaEh^s4;#PW6k`(~Hh#g`mbh*F zO@(;dN%@6%+e`U{csoe>g?QhS@(b}IDZdb}LCP=0+fm9d#M?>AFT~qf$}hy*MZ(`q zh_|bhUx>GxlwXLqyOdvu*C^!|;(cGrFT~qJ$}hy*Q_3&I+e^wX#M@iSFU0$Sgul5E z?}t);Azoi8zYuR9DZdbJUn##3Z$Bx&5U-zHAlwXKL1<{6f5gr2Im>gQfgJyq`+>g?NWZ`Gt4`r2Im>L#h9zeXY3w*A0{K z3vk_V3BN#(F7Q>qNRMuWgkPXXH&Vhc(4!kA;TP!91xfe?dUT^D`~p3?F%o`(9^F_8 zzZma03BMTccnQB4?}S(VEyZ{zO8CWigC+c8yptsSV!V?j{9?RQB>ZB$ArgKu-p?fb zV!Tr&{9?S*B>ZB$p|AQ|iSbUC@Qd-zknoG~elFn`+ly|k zgkOv|Qo=9ByH3I{#=Bm^FUGq;!Y{@fCE*w2-AMgzv=#KfIDFkEYQI!hMfs!KEa4Z& zA1&b*#~&l%7stOv!Y_`0tAt-1f2@RG9RD^6zc^ppssE+8#KY@$yy_PZuiN>mUp%~S z*QP-B`<(Ot&vX9&+}Xp{D$vsQlij&i_!8u>T~I#!7hu<@Kw!b9c43mr%>f z>sNj&Pm?^X!T-{%6#UQk|5ZKUXy4nJDLhiCwSn^cf^wWG4<(UfqGQ#hOZsSWV4J+2!nvKR*lqJos<-Hya*~$|q-fIrMcJEb6ONgX=DlD2I{6%!G|% z(qH^nBH`YIL}G4g-rd-=o3W`m|Dm#dEoD11QyVi28w*oU<#Bc8cjYh+2=R*!9}`4x zhkq*X8=*X|Sw${RDw0*6U->+a$-JRbrGNcidHu@gsci3N&D&S%QTg0%W~Sl~wfWEg z(%;RD>tE+@a;|vYzsb9al6rrWTZoeSf0J8^lFCu^Z_m?Rls8be|JU>L<`SK%a^75` zTUFkJ3-qeWl?GM6s+>Q*q+wM#e|$-!s&eJ~Z(LQ*yG_!hioBn)|C=i1mHPHm_P^5H z{;U7{Df_?q-`evVxA>c!E70<9a;`wDzsY%r8vISpJG8Y@UfKWsl>OhPs$ALsZL7+a z{ok&tT-pEatIC!A-=V5p+5a7@%9Z_ZSXHj<|4vGI<$Q8<_A#@dchFgd+>)k%kt#V| ztBWc*-P>4|oOCczB_|!as*+Qm^4TYm{P~=g)Tc@{{wk+FRjU10IrXWs`~E5?eU;t! z7kPKOsq%IHRZcfmzRthO>88rp`BypJRQWppDyN$&hx=dUbWnG zr?l9Rp; zs^p}vqYAkd={rD`ob(;2N>2I?QY9yS2dk2kzC%>WN#CKW}4Ip3{G-%+aC zlfGVmmz$fCzN1yiNndYOa?;mFm7MhTRV62V{Zz?GUw>6{(lEa%t+s{T>Mu#=^Ld&Zch5jRLM!-XjO93H%675^o>;|Cw=2o$w}XMRdUidL6w~J zO;jZ(eUntlNnfSg`j>v_M*60xXy1+WO;sf)ebZFQN#Ar;a?&?Lm7Mg=R3#^UvsB4R zU%4td>8nsBCw;S3$Sp|UajN8`?|4;m(szO?Iq5r5m7MgQq)JZuPF5u+eW$3BlfF|` z$w}X7s^p~abQN;uU(HY@Cw*tCl9Rr(RLM!-*{bBE?;KTf(s!;ZIq5r3m7MgQuS!n( zE>I;WeHW^bGyiIlDmm%9Se2agU7|`(`Yu%^Cw-Txl9Rs6Rmn-;6{_T~-KkW!ay_1?3>^PyoQ+flggLGFiT~8jc?$O= zqNY`P6udphNg0aAKRcD&L7 za-2Fh|Az)jv2qwoHn#lt+Zif< zPJgqtN;YHL4u5JF;t3{?5+*^L(x$3F*VG!`ia%KmTX<{PURo zU3uR>$7J(#R&JJ#=2`<@-MG5F^_ zn2b%2sU3|9{?>9jiK*t*C#tV{NLoW5-q7vE!=uV6v+1*tOX_ zsydhcvvZEU-#^c-{JZk|&+Au}RXw+I{{7jm@;UyLu{p_(tI8_dR`wTbSK0PY8Jm}X zp39D_p37ua&t)=I=d!u^=k+S*epMNhSCy$cm(A5b+f~l}s*m2c+Fj>`htlz8l zJv(Oe=+ApF8Ji1LWo$0|DXW}+Rb^H0!P-^52Rp8MkIMP?=k=JZ>bdMWRLQDdkF~4% z%*{nRon47{a?k82r-~r(ud9dKR^Gy z{r>+te>Ks7_rm}52kVDwY7_sbKd2x6jZd`jf6M+L6~xbwAitQn=%9$8$XKGm1xfxm zb{`WFByo%L4-E>49neqNesEBvG&W>d|IYlkKmQy3#c}RN z|Hx;bNSHnQXe$SZRWs%(QT|eSoYR{h=P8eUL-=uHW_;SV^LdT@mu+R|9KweQC5h3qJ}G91wZ^(=2?08|M3^cNj3g8yAvtb_3wQQlt13C zg40*U_rEIJ&3wH;cw#{iy?A?heL0d1Tiy{j6c|vX^9&MF8G-_URR}D+WtTYNq~b zoPZa;6)R5rNfGC6**m{3;48B#-(oJsP2Ks4XrhMaL+m?GHHgIWg`fNl7o?-zn_VAQ z)xIG-NuRJK!v( zwE1i%JUfqd$k`Q(cUJZe(cc~j-yRH%FMFMYDPM4QVR$yR%x?uYN2m(LrBSNBygL@&PW4*yGzQa_ zj_di_K#E!=*UvQwD;4%W@tVA4StusY`O#wXT2Bf#l8;6%{uz9>C4RglsKWKK=8AZhlm+zeIh1CmO zx*W(hLO+W`iraTIu|Bx|Uis8GtY8CUeivMNXqXg7^CfV>#`{e#hhl7C%WsOTTf)bt zhx>h6H5QkR=}ph^#8zvVIt-1*%@q}n4RoZ?Dn7JigWMXE>TF4D>l%P&w>zKo-w}iD zf#>@h3{F7A%mMwc`AT6v%(U~SuE5Z}TV{R;kizlIT*uXo)KIro1GhHzk(d(x>_?|B z>A13>k#DPIH-u(1@t57p#JLTU#<|yh`TRWLioNQ6haX7(DC8}f?B2L`Ph5;Ywxa3S znpl)|>Fbx~$=I+xb^f#WCXmnU;;a5hirprWYt#%!V$=Pm^kl`tg@uRb&#W7S6NxqJ zR$O#JQHW%$npP5C*QJ5^JrVP(Z`>4g*$K29?K`$F8o%ew>#**rE9Q^#tXs<@1udex z6=x3f!*ttqiccLKz|@&zD8sh_`<%{y2u01Td3^`z%VC&4^g|pV3c07WITDTxuJ$%7{0naTGwn)1}1(iD$E)b50@`$ zjuE?^(Qrby<4xIjP4@~qtn8K~1rO-IY|$W1a;npYr!s z{La?zUcUt!wISJc3+)lz@bli&89K02jQ=&DZWbJe>Gr!<*d5zG+4m{>9)r1-FIzXA z8;tI~^V1}*kA#A=5f+(`LqW5uL(~vYFtZTeO@W}Wv{^IbFD7-c?DcUDDIU9Y`3fH&yx#UFajbYA67ljam(Pt9;hifOG|Dw9)7k>vMfX%}^ z0c)6{`5cS~PSX}d&X!>Hn`$%fj*oy@``OQ*tWHPA0fmE)-MJyawcmLCIhkl4ID6Kf zEMHtmxpgVKn=1kermR}}yj&3V4zdGT&9vw88aR=g6J;PIqOUbQNvJVa7g)TtikD*M z(9z$z*p9%kAF+19D~pAIz0)^$s2v2SnhqDY#JFII)xig=?k3`Wz?IR1t|f@?sY|32 zu9+F69Hn((=Tpha=Dl4(H~HT1elqShOZ79?^TWE8MT44t=?{0h?$h!paa=CW2u0$- ziEqz*$-;!mvR@taN(G!eJGto8`JDzW?cppPSy_7*axZ)5QAC-1Ro7 z`_Opi${byE*nFVo{w;FQTT8s|V~tDZXLgxTKP`e?);T|Pk2H0&VEu7 z4r_H1HYvj3Nw4?p4qLn` z18rJ;3?IJE5;rVqB~OikNz9=x9cBlif8fZo%@#cpRxb@1(RxcLnz!F^&1|y=M055{ zj%#6MI{K5cP?D^--Qk5dx~soG)T?}b@4<_j%Y`itZk7Wx@RruT)Ft@>-u*k2!y!*aV!YLO=TYx`C^ zVZVRIou2i*u(Ri$c4%P)--idkL=Dj3>)iPm6g3R$ej&dT4o<82ZvL!j%!u-QxB8nD zX@aHqp#k}V>8JAbZ6srHusbbywMQYm?^&yiw=zUpWFCO46bnymJDhaN3fG3x0MrTq zc_}l@v|@1M{=?dH^b+uJV0?J>@?f-NhB8+G>m7$L!62*MFlfI7gI-p*XmB(FKk{mP zGIq^?;fHoF7GJz61d(}KPIgzEA2Gg|eL2JN_#{`+KI=a!7m{sHjX62U4%^mjuC@A2 z4GhosZ94v7GIVc^sy1q#G02Ow?QS9E{oKq0>UUnvV;IoiC*HAsU*1!JznpBS4 z?`Xkubj2iZIw8jwLspfO1-C&+jqzI}Kj~m)_$B@2WS=_6dIv1nX@$`Zb(hp%n~D27 zBV3+3MI)6h58sOg>kM7322M$Mc&y&iZd<|-I^lSSu-J5@OzfX9(=#6HUy}o)<1F@H z^KDVc>-eGFnAv3asDC{>XJgiqlA1pk#Nm=YDVXEJ?a9MfT(~j8WaADsczn;R5jRMN zH+^E3)pVER26;{II~52nX4f86r+L?8lxDQ^5r1U-u!*{+?tunTnluzE1U79W>e%B^ z)YB0$CmNu>;gaYY{#p3^X2zGzuPxEsVBwncLto$w{WPV468EaQ}i2nB4T6XXK!~$gDvwR_k*!zUajN# zt*r5RGzB`X0x)zbd7d+4(7vtIFSl<3-oK>)%T$UxeP$|jv;g*+qfDfj*x=NfX^$j) z-D(&Ky*=J_+S_L0*L!k2O0El6uUxrOXL}}Je^PxR4)-KCG;(zQ*|_|ppfj|#_s3~= zIKAI~QQc?_j4l~%;-8U@H`IM?wYox&Io8!eP_ma4Z9f`o*L{f3zIj^+@v_pMT_WZ7 zV1Y9dmacAlaAq<#=iV9~ekci&bKOFo8#^O%u+zv=6Y|G${f-?u-hsAD8;0A#uj%+1n(i4G zTybQR!Z9tSW>Ne%tu=HSzMu?>yPE$oi1zpc*4Hxnvs!Xehb~$$HAW4 z&o;W~OOAHRP6bA9-FVU>ya&?9-dvH^Di$w0m}zdk9f}Yw<_X;w$jW^*A0C11Mf)>? z6eF>`-RN%C&e>QR5jl9qNjV%tE+5o;;DeFO;I_!bdaeHL<7xz<=v#W|&jdL?&ou(% z1^Ubh@PJXMXRgC40$V=DHqpW-a&u!&#q;@C#{>gez&mm*HuTduI(0DF6E~ZY zzn|R|XqopeoG$}({Z8M^@`Q{zQ$@MF2h>ygRw# zWDLgE4WIWgAVJjENh-zRj`eHrGY8nR@c97kFRq0^d=8txjXh=pumf+bMXm1$Z{LR zKU~^i-DrIr*xOVmAwL_9(h>Gu6~_>2#lMFHXr&-eZ+^Rx<@Mn4Y%_1ZI|_dnw>|;pOn$ z_x|YLXVkTI#h#d*H$SG6$!~#H!L|kS?Qu1(>6lHax>!YSVc|6e4u9}iuF<0h#`bBg zKK)k=-Zt||2|gBvS+}+=pL747z{3A`&Jox(xrh0Tmm@$Z($wJtvq8Q8;>%V!_v4Fw zu(D~_duuyoqT$Kk!*}Zhp@xp0P?P3MB(39P%_3l4Z5}Pr9^5WS6xe#{n2|hz;^(=# zuRA}NW1a{&JrE4LywBXdsXl5%-n;6yCk;DGUd-FQ&;>tTg|VG2yf9>7?*j|mjnH(; z`aN?_)`AAbo6jc2gQ7PAGK^8rX~*24{t>uqFlXx0nq#>=&Aclth#>@Jw+t^RzMPxw ziQe+k^NpuRV^QGaE@ktB(Qo{)BeULHVGFI#WxxDUKnAyMS`5tS`8M~W`NI04h7?=K zYpQlZz_jZ&n-~8GMlSQ;wn(sqE%12}Fd&Ef$%hQQKa_ql^7akEh5;F?GqIMrTf=>k z?>OkmYcDt4*krWg$+vRh47uCwZR|kK8;zuz7?*C6+??VUg{iqFD;WPB>11vxSa(_2ztO!59I>7JM6 zzhqE+pKm=n*bU_7*2=4wg73FTK}|o9_dapq=l)o7#$e}%4^dDj|IMgt7`iOJHuT&G z!jo=05cKd!@M%ZL&p#gc8UxudQo1WxR6Z0_qY(Wd?v& z-4m8Gpt5BIj~gn6!{%{tj#~R{u+che6y1*nwuU|&-@2K>{ju?ZBL1W?jQmWm8K*wg zkHGy_Z-*KE9x39Swm0SY-X&LYI7}*z=kkkk3^nX`qP6=&p>)T^rl0ca^Z0jh8eYFE z44gLC17w{-4)Q`kG_q)YU+ zOm6q0e6fYC6H+%&6gI@Ts9b15u!S+Lzdf0O@2LTXr?t>d=Xl6SV|e_2X6ln44CWP? z^!CQ7MjhO0tSJzRCRYS~IW0vqhplHfxI4jgdGEd%mdV(7ZcvX&iX<4ZK;?@Qnrxh! zvEsW-jO!Xsb^|^2dOz~VOaloxs_O@4p8IP$pmo!Gy~}<@!7R1k;7Luwz+e=wu5t{l zqi!^z;bWoA^f+0wx_TmhcYwwn!_TI;yW{My-6O zCNUeO=LyJzE#{td`S5aavWR;I-iXJX7R_iSC>0p4lUy?uW5&K4chNNr>PKj$P0zp< zf~~$%o`At{&g54LZPxeGnHI(IEDZ%ZZ_>@{Hy|4p#}`+to)d>Hy+(}MMSe)ekb;d9 z9>gN^$cSx&bJS43{7H?G?lLfQc!=U2i-tp_9Tl|RoDZn^^06GuJsh{n9}9oaO#h+d z2}g!c6jlgym5|t0_ITZS?a#G`bilkcOC!23!>zwsin#4A(-@9(3=KnC8>iXZ7ZnRF zhYit=dlU{bVtr=nkHEZo1-}ng&&Halo?3+=a=2<8I=Xh45422%=ReHNz;}j6ZV1FZ z?;DL@Q(Q>1yTPf(5uoTf!MKqJ*s@ei&lyK3kNH9==9k^pJabPD<|gERxG!{Z?ACCI zhBg)wfH8Py8d$Vm=a36uk4Jc+?Z6a8*QrKgT>GPi7P>RXH6b2;;k2T87(;_4V){nl zFvAyVzEt8Ngkp4W6(R#=NsOz%_e4mn#;!ezXiPc1$mi;^V6fpb*xDM*Eayl9u-$=> zj7>2h7;|wonlEhLJR)4+N-|j-%D-r^0N6;%?U|z*+Ol=EWh6|;N3XtjBLml_y{I+F z?uO8ob>p>6XtITHu`k47vds-WCiV7xlJ`*vo)|E?_>CPNO!DYDezyjm5scL{E*+Uh zcXlQOljBg1CACP(ZK$T%j5m`ml7049rS@p?Us$)Wzx3P$0aVx4X`+1`3GyZ?Qi{rD|oqpXmwn zix()w{v}XW?atf`dr)?+x`m4_=wba2Qrs@$NE+R7^T;E;Whv1(*mB$}mpfs&+cRn8 zM#~~W`}*^G{xu??v47xBEB_H_I+y@E{cJuycgyi{x?60!<33>Ud`q27ye4<&$cI4K z>DBn2okIOuqw9CAun5#nxm&Ws%>x}Nk9e?+0(Tbmd1iT5D&oWulsBrUedYS2FZYEj z{{H2%A==2HF!9KvG@QAnXS3t23wGC$ZJn~g3$LtSq&?bV1h(qknXZLp1PfnHjK^s9 z!t9K3IEMf-!WXI?c=L2q!?E1&`&}q(d}LNle~k=Xbtv=HX%uLA>HKJ2G?*Kfv@aNC zjmpMH1XyGAhFSA3H4Q+ErMN48WSC4?^|ScPX;Dy~wb|tz1epRZju+@)Yxr z@z^c~Xr8@cJOb>i{eE8^@gEmt&nyfV8z){4?FXY%RpJp9uIS9{T^k| z`+Y!x@Rj9Bn<`L3%hBQre_Uih6y+JLvO8O*82lDYZ+_mfHQOGP{q3=Sf-VM|QznMu zZv7S%sm-;-h{Od`67SJ?YV>~D!ku9}{;FFnbje@*w8i#t4ELqLsO|``VLz!<0hZqT zK2Xm6mslV8G5qW$tqVnjh;0tU5^^ZDoM=8VgWom+v!4g)U9Ls(zWn#LwP)o>d%dW= z+H5I|s9$`p5S~nFK;69iLTF>^iFVrJb2JW1LvP21rdfMjkeT0M=$o!ysQ!!qy9gt& zG?I^-7Prr};<4#YwQVQR1&_Z_z_^BRF*Wi~4n~S`RlAyZ1XC8MPayn<<+vbn7e#~lPzV(uT zF7>48mhXeX{NT%PB0}&hoUshJuBm36GO-x!`-7RYQ{SZV-7I51n9eW311FXENl!Uzl~t+YOJJSbWTV zmyDg1?jF?C4{VmU{?#8WO;`LTisy;@hhgo+I$Ltg6g`_m}>Z zc&wuQ`u6svLL@nKKN_ThnzuBG3B#eGZH?!R%mBmTy}jZf@(Kvg$PQG~wTg|xhBo@= z3ckppSo8SS!RFcMHu=f?g8dZdG(7U$Xr&9JIch6fU5P~}F_2Q@{bw)3)+t3HC;G}E z;@4660?V6iKS(&=23knh`orZXO|UwioTss^LJ;GeTJ{{Ld8#Ak(|X+^oP*)*H!S%0 zbCBV_dacQ=x`*-iTXt7aueWO8RflkFCUY8jY&hPT(1bds0HaN`?IMRArH3=De6WWR zFji(jgl}Ylupt1+lKQ(2n_vwiAiBXcUra0t$2`6&$K72GCKk?;;iAG7ml4w2Q5$b5{nsxb4U`>`mmYUPHAWohi!EvyUc@SyBn9Ii9? z=DQKbuAvooa5(%}er7`?I*5UJfk19a6Z=&%9KB!h-usm&&tr~@#(v{V;WI;n`MUAb z3IWN4oIdqO%FyHoiG(MMcDP{zcC!R>S1Eet*oGarC4hy$lPiMJap;=_!+~n3{c)1r zfcp{fqUGz6c?OoTxNpOCfx&N?%P9Y{^mwgtGkn3k_T#B;aCkaPXq@;_*vRtutLzX! z>7}HF8XOl|md5k5IYu1k_6`K0#Xlzu_C{)Y+iS`E)-$Jgq?hKoZFrKojRK=4sUT`a*{RO5JV1mdi!$^u_$+ zn5PO5?c+t+Piu_aHu!7%H%TI2Wqooy#C5S>iO`D7bw86-{5mkZMYE7FtTrZ#7m@*e zmN4`oTsSJBAd=#jQp)q4Pm03s)irOLR#RXKrBU-+X2X(b9!-wKLF7s7a6z|--}J6ni(;(gDw&%f1ACZ^7H!V8p^{hFs@o_544hr`Rsyv#N!c(0C$9u z&9D6oZ5fVZLozt z`*Dx*mBFXFek$)o`F)mG@8kh38dn$JlAlKOkd;fNs2~(5<+>bUqC@t8&rfe{_&eGD z+&3c)lq_rU>n`Q5DW7{i-3zCt9FtqjF%t22uYOuQA5Zq>?Nf4)?--#^8fETlhhv-r zMZ)_c@kxJelPT*9g%M?44|gn)@x12`Pq-yfqHtR@iu)7rG==i^j4)g~^ z1MASeF`Ng}GXaLoksKsN5V@N+)qrukh*4o6<@pPLHS8gJ*EzFD?2RuP_tY%|qscwk zosuW!#m?-@IgpPxPJ__3i&aYEwC-O%=7iw^x$LTaaKZy6UkmWV{ z1cLe7vUG18X9ha3P+)nU$qK=cAOC3QerZqh6(l3FJ;S zTPnxJR%8*@y2Fj!xzUe&adig~2m)3K`^SN(J@(v_{ zrO_ob;z36F;^{u6LZ0IAp3f6gaYVSkWq4*7618oKB9bBETSF<{7wxZ`Gu|`0;OZzC z-M?TLZK=S~b0#inL$cvWK<${4IG%@k;DR}ihQ9FCi^F}7!>{{vQ^z(+pSN8k6Y=ra zg9&FMI%1pC`2vFxg5Jn^eD%s7wORV)oF|x@f9*?!z~Iy${`QEcyoPIpuIShHyeo&u zd$h0srGLE6)F6IHw$ICFgi{=|+&N5swn$jZcps+W*iEoy-QwY5+}*xJA@apKk$=nJ z;I%t_#CUy1txVLJvq|pqEKtOABE#h%cE$yb$r11#H+O}*%meKSI8CroU<=VD2Hux~ zEt3&HB95hUgVFBq)gl8NWA*poE)0l0%H$6ekB8=Nh}jap&!dXorp%0XN07055_Me zqag!btkF@g%|q>W0ixeA@@5QJSX##;f#d5GzdTrFnAfobUoI{?kUvDzWKe<{=Y4rc zVi_|8L6mP}VaA3$f!W3F#53&5!sg??Ao`!9^LIDUD4ITd#7BX}&%4xmV&3AO6v1lZ zQqxb`buXns^n;~F$cgLW6xS<|^9!a^{zU{PZV4jqD^!YWOJ|X@%dSyhprSZp1&f;(^ztBU%KPDZqn@7)_z!f{%yqfB{rBW0)YBr zzCWdLHr`Esm|@i0Mr`-7b~5*uH^*}vXibSQnP83&Yf~|3j%(iQyf7RkxXSE(28adM zc_G=2hHSY@b4E={aE`td1xs=``UEI&H^KhhaT(=9DNC`vc0A59ex9ByGzhn=Js=L@ zWjeP;omNLVL?)MF^vPzo#9HRqtL708rz92 zehG?3lsKAgFXrV#FY7`yGlWx#d7Wk!Vjj+t@I)_001ghrTbljb#*jb8fXe3Koc~4s z7~=`$7g3&+P1FR!vl|nWLW87}1bzgS5fI|Ad${&RaX{0x~z29;3W) zfnLiVA0rU_wrx#kEleLd#VKoB93PMEjdX=hJFpvV58Ecdmr`7y{H@V425b_obz2BwD; z)fi3knt;)(lf!&J2BTaAnAGs?C>h`@5x7+=q)k~-I_#JubTv;9c^T6)@i~J6p;%w& zHzv-R_5XI z1?Fz+dKTE-ARtd48ERSDzunE$n*+5k)N_@Jm;e<9_NlQN?%H@ z`eH88an&ttIIl=cpYx*@C~)Wt1#rKu_&OJo1Y$MBjIfR8@zmE6L0q48Q{l=0&hRj_ zCqGwfOa|sMf{zEq?JWO6IG-3tB}75ET>db!wgRmwy>`}+@_@u{YjYxw=f%k%J3Z#) zlwNmZ5jv!Ny4zkg#T%pXn9Mi1Izat z!ZCy|5~`QD;KwjAK7KGw!SC}v3#SOS`DWlF#>L|@GLSBDU1B8-MB-lAnY)&9?mrT~ zMl{Q2%bR+DynU_M8*)DG=SfjJ^L?GW3yGIW>AR$;djfegHq+d-Ie#oMjq@u`x^VxE z=F6k*G&7@!55xG39$F$_v%8%5{AGhzm2d8hdW^U@lX(0LKp6 z9_LWPpW>JI{h!V{J~^86XZ(XPoCW^$UUx8l+9Q9E_c~r{Nens=-QJ^30>`^)zA#?Y z{U-t_S+wa6@h`>rw1*mYQ#khNY6Sclfq8E_SbBPh_Eq6I!Rc$3W@5J2ufE@B`Ep)i zrkfZaeZ5;Qh;h*pI~X%M)qD*YQKBsPSSpyA+pO1FmAn@nPy*5c;!*oNw6KECa+vt`II*f=G;s(khE!M1+ zf&i9>q4gDurLf^bq?RM(184wb-|^An1_ki!#d)Fs}qm5 zBf(-wbjMDsrQdFy^hIH#S`pSgY@pe5$*>i*^~E@0TA%_JtV|=>3WY9|m~4=Q+n;L3 z_iae|vQfJT@hTBSeg@&m9Ud!|U!^>T9!q$HW?%&I=xUCP!#i3YTT%Qnh|&myX}-7< zvAVgALgdX1?U2p=!jo|@CmO_$gDyONd=`tib_;&b?4^#S(c=;h_LD(`Bd=#c%!hZn zB`~*T#4$O~OB`3`D|>rl1<^EKcdrl_>qy?rp63Eilj!}&|zWuZP>$ak1?eAO!o zy;y>fgL5L zi?fySetIC78`#5^_4i?u|;JhXYs-csmLF9Ab+?o(XxW?-WQx$ zf+I#-{rNNNC&z0cmIdgtIEb{<@Xn~s91U3* z$K$(2a$L^%me6D-Mfyi&plnjB%+H=MBfPN7vS^Y2xgjYS#*{wY)6yDKC=K}dvp?rs z?up^NeyarNQ~KG0@M9Kst*Q+$^QqrXinR=1&Q{|%@uvu$pFWhXsoai~cY^nEV(y&_K=$&h zn{(HV#vZalYi#qyJm`l5!JLiV*PY@QmX6Wy<$x%IcC{CFCEh#Zk4nREgyzw9i5!Q_dJ+|o$+>;&)GQ|8(SbQA6{~($#M0fR{9fb!(XIV)6_-q1r z3wmdBKFR$!kxgVo{IMLy6KxU)mR?>wQ5`d;;fP5D@dg>8>vk4ai3a|rP*?xa&uQde zX}>tIquLjLgfAw7#tu(0fADKkg&^WyQhUzJ2+#$CRo~Q;qcwHYiE-v4u5igEisvH+ zhvHW~Dp;6RD0H?VMy*a5SQ${`U&BDzipRN26>#07;i)#5>;&UwEg^i2aBgSH({1)8 z#JnI76pgmHuZU8h`;BzAe zjE>l5WCFATYWJ=;MhZqJrE)bfetSW@R81B@EKx)10AkpiaD1Wmm2{+^V+cx~@O54K z{rnS|JimR`7XkyMpSxiL@grP5lnZP2_V{|L%ueKWI@xOCAw6F68fhSFRXd*M3#$*A zdpe&cmFT(J9~QOzR-HCSO@h#y#0+sgn4?#DUF@RHImD|5n7gA%zb2v1^p`tphr zfoRF~{5$G{g2A0m=j4zLyOUr~@yiZ^_fB^3<9_aR8`NR^*hTuHAG?C=3*%L^v$f)O z<5Qwo=cm~@9@DAZZGGMYfkkR2>h9maR+mV#C=0 ze3^w*DyQ&yd0m)J@m)>gWesPJ2Jr<&o>=oy{8;!Uh`f@?_9EZ$^m$#}n=@gYr=c?5 z4>t!z6QQk~qPU$)2t^L@^j>YeEqGNM)qW)LBdC{ik2V^P-fRKequ@AYwj9iTUHj4p zj4o?W@e4zRi(3%ilIVm!^m|JdXq}D#GY`poJ;2H?=0z#6xO3xq`Q=g(xAY)f+jjF} zDs8+kyr49V@l|cqA)4#G_h~$jXWs}&6hJQaZsX#h74$#ti&BtI%8i2 z1@4JqsKo$EX(Z=q*cS>9^iTdS_$Gr`{$xCg*Jd+1#^Yl3kHYCs#28ApB8|bayv@=ZMq+HA!uIN!J><+Q9 zZIY@l<{xwjSE6c`$TeMuAz>h`EWUoc-fF)MU(ZVP!D!dRQWfxLL`!EY%uae-fBdgR zuw~@VK=Q{}U^V@r&`#>-WIHVtEPXnEdl(+jgr7p=$c@(HtSfOmPqE4wcZi<3xhM)B zh$rqfMIrJdgEGk%)3I8HF=YzcShvCXeJ4-friuDTh{3`^J*KcAE(H(Wt1-rb_;w%Ia-Ed5y87{h? z+_<)S6t5TDFb0Q+o*VR~KoI9mOejCkXBZfLf2ya++vD-+n*gdVi9X&y3RYG&W~3TUvggT(;QS1SbdK8x z=LxL7S7%8kg4y_{_$7?l{V8q`{oKjr0?QvdCE7vEKaSPFjGre@#F(doRcW<(XNVY< zn5B9mk?;S~i`UOk{To|HLmLJ|rs1_2t63Ea+2yMS)QKw z{GuJ1=Z;(|V_JOQ7nH57a5S^QP=D=_))xAro^7s?f1%s)i|v)}A`ZE#Wg>_+@bvkv zIL=#MeNV7ueAL@1FkuDGv@R!7Sg|cW17CJ*wdh3gK2=R<4zqJc&s(i~oR&w4xZypj z?`8ax5UXt5bWO7Db2E1J0%MyBB9~B@Tz&W z-3v~Vy&#@Uk1PH-o==K}dqOG_FMbLPPTbep9%Mc5dD!ZLm1D;GW#JaFw(OkE#5&Ou z*;t;R4H?7hQ$q^{kw4Ia{4>V}O@_A`CfbWg;!`smaqp!pye3-c&fz|2%>o?a{fPOG z<$++!ZU^$$#QN195uAVP<$=q@cQGS7_?huF)>Hn15kHBCmQ8TPGs|M(rh(u_B4oL6KX0KIIv7r;izrNp z$fbH&DuY~e&x`X(Gp-Axn^8vNVi2fGfK22NzOGW9lB!F+I@U`P^IQX7Iw2<0clvUQ z_r<*3Og9jUoOs15h4VTcX}%DRrA%-T{h69nhgkekDo{bM2$=soo&|wujK|9!3N?w= zbfZj9@9oVz|!8Np)}wPX30q1`#}|7HRl zX}D-DjY9`9p>t0V{jWnQILzqWUqbnMLww8ElrF396^Ev*kk!FitUFgHz9qxk%q$f6 zuunSw48<>BnHztbcr&bC>bZ-Ucf8v)4kGV+wmL>p0G-=Y21YO1P2+uvdt<5)%M%#g zB!cBr7_pY(7qPx}8u1D{GUmWffmj0lHQlJb^8V@e=SS;`I8dfQ_y^PXmnm5J@_zLw zY^CxNZ?`cRC?=>21<@{F9RtR8YNRm?tjuomUho+hid{^p}q}H zWn%2|mot~-`C{wun1x*_j>t@lrJXB?pUfPCQac{se$f#33s`BH%Ip8H8iJm}(`R@f z-*@7d7tgn(-V{VXXk!q_>Uw-K9sS~uNPluk0;3;n(Q`(%-Gzsbe~^J~)6n6J z8;@tbQ&9Aa3i>1bz+PK^u!ERK%ygE4b}uNuK=|T!D(8ECIE%;4nk9l6&ExKR`p~!8 zv8(neIbR>{xFehuD0T6J4pl8m=G&lRh+)4ItH{34aDiNU! z;vv?RPAL`=S)JRm6ij0P{qj)wEDJ#Vr3{WAWyB$j1+EFsXhZHp$AiRACVJp-@^2U) z*d#O?+lk%wOf6pYx74V9U#uG^yCmkHH>$(t&D?qgVI0R;H#Q4%Sh;A6JVAV)#1jw+ zP8I>kqjEZl+9>7k734rrW_h7KuM?sCix^LOXL0{UV#fJXK2ey=3Qn@d@Vs*8Tf%I1 z`4eNXofQNd4HNfaY3{E8V`E+=zPDH=SLh?w5v7z7e~bY?6u*RT>#DPua7R`b9(*Q( z$6FUY_+Ay z-EIWE5%bbUoYBGsZz{O_94qEu)0%Zc1S_Yax})m?6`U&~5ls6Goz!vJ+J-j+64b^}zt` zHc>x0R*Iq$DnQsrd`rexYZnPZ(+~Q%rE`1HK2KmY)QGE@5bKW~_(C)Xzugci7Cx5q zI^UOen3_!yk(s8r-^-`?R34vyGQ@J0*6dAqBW=gh%WE`5{80C%AmUQ1gTPofBV30- zq~nfD0)xa? z^kt55A^Brew<~*_1qSnO&V3-%W_ZVBeU5j&kmG9;Vsx|_24Yc9EDZ6(J)$#~)BZ4G ze&L2b*mC1Zcx@vFw8V7Bg{x83j*U(Pi|5{(#iJMHQQmBQAh7j4wI~Iz&QgKfkx+5p zn(~^NVja$wO%(6b@L9Rq8P<$u|1b(OPkl0MK1U(utKZJZhG_RX#$yVlMelgH!u7+; z=GA7zao%i^I8WHm(q8 z_kyjB4%_p5t)U)RTCUmTEQsTX=8Fdv6lx8L!Z)^WK*<=8m7#%HC`3_Ng8R8Ku)AyJ zZ|ph@j1Ji^Q32)_whkm*@g)@+H}d6m$xSnHZ6Z~?hX#Q*Gw}PhoOniT{Axy`38mLQ zeDZ*}98(@^Fwq6VUr~OV@Tz{X#J^-4%)Fp|99UlPf;Pv4E~LR_B~|8VyMobebgPes z)z?#jn=_5@>vP=0rPsAY{`=8wu@LiqGDC>_rj*cr4dt}a4#nRg;zlXA1RJ6?hlNtz z5S5Eav^+6@>O$u(jmGEXFXvMR1#@0*V{2aL^37k|r({Wva(|eC38+T2x&RL;7)|U@ zJwSZjiH!Vs96PP<})7OXnr>IR2;;SUGamAsNSAC{HTd4dTNLVT7k1etdrz zBL`l$swqPscHgIABJU^pRu<m&AP5QV|GaFS?z^-ET9`{1cJ{-f1~)tf(n?I#KiLY--3?34q$&M&tIL5z)4nrv*woYfM}MM z!(=dHf$e7xUJo`i8sdQN9gNNSWm&^%zMRgY4UEeD!Q6{;`(nV#ZLT;Z@O=Z^l<`Y_ zfR*V;4W%IWWRN@Ut03~;6%joCU7g1FjnT;!4iKzXi|Q-Iea}`BkC(O+J0o`kgFDy1 z{ve31@JxF?I^7urot-<9}dVm-xgs^4cX z(9MSDU2KUzM*SUEM~;!S-O15o7GP5S1 z4sK$>th%^whIU;U*mgBqFEhc?XBqNbf#nJOY2Jg}@tz-uU(3o_WuEBB5*&Ab2&}t* z_Oj>v`u@6LyFe^Y&*b~rP3+43tDa*)yIdWq5fy?1tlux@3lkarY)uG8FaxUX4z>%< zs^@YrSZzXh7JR(P6L<9y@!Mr1GWfc)H&EoQo*E|S`;iTx{Vv#kciA5BBI41NrV4bw zYCH7$bc$byr`NkW*=?d@J9fJ(i1_9_Z86VWb9)+C`NPf^E_{Enb6yaa?J2~Eq1F5F zWG!B&Hj?5OmL}NS5m{7LKVxnvw-dxq;dU!uSYbzutUfYc|8v;`3x@YCZMh&CQHyQ{ znGFtx*0+_?J?7S&U#k`X8`_?%KJ7ch;Dt#e5n%lFw$M&h zyo}kWUw<&zb{=hOB!TGP zYui6f1lx~p`!^@Ba+79xGKl*GY$3j7U8fy-6u)TB9dhtgF!^K5KKMIu-a~&G=To?Z zft5pNIAn==fd|?51y)CsW~49TAs=^9T*~;)Iqp!i+!wyBnI9PJ*EY*WwA*?K`k?7% zw*F}ruWyU8;N!$Jf%iA<4_1%uyY#h4V0AR#ek6mU@f&NukKz1D1&t%NFO@?a=hcNc z{i;?VV17AZ%=>n z6GVT0Nmss~%FVH0%VtLpnjg&m{=P1V`_IILfavgNqjlZIeJoPH5Pyi#=?`XsZPS>s zf%b=Cg{Ookf3~LzMa>|we&%c<*=@G|t%(rrPZY&3Y#W*JQt}(wz8c%5d_P2*FAK-8 z#O7T=Y@CDn5S88B-*L|*R;4DOo`?7f}VzAT}$5g zFuqUSy9kJ7{x10fD|0hzE)(PYvBy2Yww>#_lkj9#$PyFGdCGy-ups!mtV4i^*Nl7~ z1Ccltn*gfDdiO0=%Ii!90iJ9_j7TZxk6cpYycpucXtIKkHEDeRuf^AdtWgQ&dY3aH z&^9EG?)rkNTkmeT=?1ZUq4KyV?pdCDDfK$qS%n4QWUnErbzE1uqpQ5dyBor*fknk?23ZD_ii*t zC9#{kW`=uj{yD#sq5}K--gjoL^{f!$_Djr=l{UEV372iWi5Mqz*y1j_{qzxW$}OA} zDg3NBuWaSKIo~#9zZCBv`d0pf9G#~>`w-)wrb2%i&4Sb)9S9J({h?_D$Gp#2%3h1% z8)aO;^;p`CPg)uHv6w5e2YEF1|KEh)RyZX7_?!S+a1MH0b=Xix-77&QImpyMjsVv< zw&x*qFcu0+oiVCo{90KfSM!K|@YnLstwDh5U{5|7!k;?err)2x?1^z9>&{z9@{FZg zsNcF>ELC8TS9}Du0WRm_)=Nh3M*t6|MJSic%|||0y=-#j%MS#{RrcnegUE?>ipN=+ zZypdzNCkQRwH&(VVkY`ITj>p4$;4{Z-YItZe_dDgSp`}h4%d#^qZCL8LXm-Fz+k@`O1So zMqcdtBACvwjr}cjcK&^0-WsgKH96+0K0d=nxt!P1sR0M%Z!{vrvj$D98>+sSodJ{r z3}*9N=MA`>eRD>H5W6&2wC_!<%g!zQU=L{nABg?&t3U3PH_Y%=kIT}Mbh^G43!&@tv<4nw+)OR4>ONDsGeI2 z`%UKcmGIU5_&k&5Ai=kUyR7SgD-N=UHmc>QkLh|_<#Nm&Nl2l8{o(>X1?OF|uN%Rf zSGzKj78mV*y<-e`O7M#<1y5-XY*-VJuarFB2~U~_Txd<)7nwuUa(gbVLY^&kZ5|y6 z?K}5q*JRCS&F~_At$aO_MBfOQ)SA9P&Wgcalx=J!-dJb|`(!s17)a+GD{_XO$~>@a zvv2^r#stu)igRnEczian4fL7xr&}?nr7{5UImX#xT^iE zG{@aLN`9T(mKlVt7H;nO2I~-G=UAv@9lwJmq3=uXcZ4@BoC+|tbLNE*$6WgN37{ju4OrzA8dYI$oa+{%zA3+6gtcn;*A=P6 zHj>^WQk56Hx1Z=X^)|)PbYNw7VQyj!-S+`nh>fU(ObL;km|8|`6Z-A~BxLtfwB5Ijl_7MYvLee-c{jQX*l zGgK2}%>_ep{J)12bM=<=@}_sdDcqW;`^0W-vi0}#3nI277UAn;H*3WUA;e>IiBROi z5QnN29Ho4|m43un>Q60l>E}PZ=G2LTf3X8d!-uk|DesluT{X(ez28oG3YeS4e}5P` zAoh#r2h!q7Sa={8BDu|;wp57?g*_70ufDe-B||Q*_&SozkeRm!MM)0-x2YEm-uthz zjU%L207&%Hy#RO@ytc~j7N$Amwk~=v!1KbK@yx>s%4Na)BAf;PaAKU@*?Oe&rAs*Z zvi#*~MIr=(v&I}dpGFx3brY8IQ%2b}02r*ZP!wW(wUI*J50*`w{j7%T=_gMTU< z*^RA9`~kaD=q3WT&pswDJ(N zF^?I(!Ysb{Ho9PNeEll!9fDV@>#h8l@j1eK-TPBEy@6f0VSEr>$MKfeElc=&b)Sb2 zToNyeMqrP^e!!7Ynq%GXN4%c<4!nYV&XHw?6JvcI9?zzc#~Z`hdCidXb)_9K&!HCl zmf~}K++TcEhd&3>SnwG=W)<_tvcc;E$8RH^7vTyYY)ForFFB9=3v>FiqBL(d@Pfg5 za31y~EEhH>Kk*?gnjBAl46qm+M$LIp9_*s`a?CHnWxSO@OsDpYLVlmWkFnrMGLFX` zeoMCR3=Jo?nXjH;r8z506usu$e3uLYEul^0Qu#(p7y#}fFUB#k&zN5ruls0^w{o#6 zy)~M$fN|VaeWBJibf{$Xtv)N$3F(iYO+Aa}mvtco%Aix|o`7Pmb)msIsb;N1Xfbm% z0(ueS1wOA#B{*=7+8#|MxcL)*1Mhbfkm& z-4-|y%bORWcZfedt2OcB-aR)(_SC=IAwLc*-mgt=7_~gxJ(>_TQul2E!zcsS)9x`@ z%9#vGBCcuJKEsoKd;A;!#0n%7jXn@XlX-=bb+pTcWV>Kj=ownP2_Lp4gVU z(8Hp6j#ABtvCHFpV>F+&8#zK?7uV%nFxJ)tFc|lC;a_$27Os*fbQR{lhU8@vV+MMh z3zEGaY0rh9No5Gj_!5o4x;L5ZjTh?7h@K(G7k}e}HecI1z832i~xy48+g-$0pKp_KW<} zkS21z?|!8AJnV>)eSd(>Me)IQs2)f2fJvF|>PKuhTeBu!{GRhihEW*~#$$dF4wI`{ ze8AnoFYI3#&YuY>RDu`6<8Z!kzQYW?k~uVE!|6A~ks57+ABGopxCgS^-XB7Ug#r1=BQOrRx0cO`w%Qsd#HFVxQqvR~n3X%*#j{*$bGz0bhs*_uY*& ze{wE_JbPz{bgS`K5tjMORSmXV^rZqLnakB6<-;MF29q=_c!Jp>Ny%#@O%l@}(n>gWz?U-nxTnTXJ8|#1;{qM z3XunvIdZiX$vrY9irQeYHx<1C{}aCDSwnb{@Q;ZekRPlZpqbvpH5o&$yfK8+?c+*p zlYY9djObvkV$(@{XTuw*PWo$z^6|m~=mX^1V4nhmd8n7|LX_Kc+(Y_fx(vcS3>dBQ z?NZg(b+{jW{sd#(#yDEV-~jx-9RKi*NLN2xkV!bnMFZT4ahqwF_a(-49K1gG#k{Z| zle|Xr+eUpJjLSLdUZg(sb;JcMgM4+4JZBPJ)T(Ajxi742@2I^WN3wOU-_u(Bm?xH} zXkINQN%m(q7vC`6VoZC7=Y=tEB?kt);Ie=S3`ea^cMo3(b_GigPm0 zw*7$q0B|phyv?e2@9?KP{5*PnGDHs?4nGX%IyTr7!b|RX9er|S|MMfxYvD)YKK2EAdkvQ?^&|ZQe=?5A z@zCv4nHM<b1rS>zz*(XJb%qSoJ}v*GMM+e0h-Lo>d;^O5Wn}H zkwLspH7@nn`~1~FTF8cio=)m}^|7T7@2XXqQWxh7=Yf11Qsh!38^(dd%lX2zC~`sk zuSV_jns@p$mVgmG+jr+6*&{ZOjhCK-^3Gx8&%Vx|U8Ha0`!Z(Tf1F96_n%?F3{O!G zf+<}6B`t|MGUu~fIE`cgzLS;mQo2MbFQg7~ZfeXm9?u!jweD(*>d4SvB=#}cn--zo zCJgib#3>Ko)be*#U-_akbc6**Q@Ze~I`}lwJs=->jUw^kMPVd9uga7$0zM{}{`UiC)KVc8-%t5;$?s`va z7pJ{8O(V6h2m4dWb-uV^2!7w!L2^>fSs{);PsC10mHz}Ze}{h`^;bbRe!qm(ctvr*EBccHBB_;7v_jITm`)Z zSe@(tG^IJf)1TWGP0si@l`b1zyr({I$Q=G5O!M;zUc|QgYCq@5zM<%eh0>luNJ$RT z-j{k=s+WGoe2Un^+PECr%?tm`DD9oe_oKs*|DBn)78rlCab7rGf}d&JxoiR^3!AZP z;=3Qc)=u&izirA;{p(48&6~dkZ~QlaoMXTn?*rp_nk}7ytDWgoYLBLa^A>gdR{`bne zac?#wP;w<$=ijy71l&A;%x{bWeh2Rp%`KOtRp<*;IZGIYtk+W?*! z89*lPHFGI2hB05}o|#xazrD^w@2%ZZNpiH2sl;o_?cgb~&j0Nm_)KAII<(W9;6`;f zWv3J4%EQyZyWqJX*_~h;p3pu3+$9DpwTu+sPIu^gr6nMDL;d_F2iksYM%SyFO^*XWm! zM@z7W`r%y?iQlW2*ZL_#mVAE4w+xm1d6UUG+8gsb?kRlUe)1!> zwUtNSrwbc}f5E)WT+)BDX|fxCA=iyFs7J~8!;bizPI;K2+~g`=1RRg&xK4v<34nV14`XuldFl1_D5T;l269_rX|x;e+zVo1|AL^{w%S{nESPAH!?5ZCe}J!^M0_ zCyvYPy4Q$g?mQNvoW%zL+D}!!(D3DXqGSj$zN+4J4?55l7t`SFHZb-!1 zdlKVjkAWj4Klhj3q6h5%EuGk}eS4Wn{geycX*_I$iDTnv!KiKdlaWVGL418+ne5{I z^(}+3SgQ{^5Wg;%msjUe!%LkUe3gqa+oW8I59k+T{JOoP_$ph%Pa_YLxaOLt@blk8ONRwr))-=Du3X`?!Z4dI#9A;cKCGvf#-# zm=C)P^GgH7{4+6-ivKG*Kso2jJ{h3iUxGh=h83 za;P^KTvUrDj?cet=TBTaRQDqM49p+78cvKeJ%IB{zE3@_8^ZM{vXeY@-SV0AurdIg zUA-iK7Bspzzn<34Q5`91l=^Csuk3^0&gxl+?CA=OKz(mm3Ju{2IE4^y3%Bwgco3(1KR|ck z@ipaGDs4tB%Zxgn#JWk-cX9NTa~x%Th-;F5-w%E=8|62c zIVb?vzVdXF!?S4Wz{a5~;p)F{UTCam&T7+e0-dRZ({eB3>)fpvl9d6mLf8}cwO;Bi&XXJgAc=Xtk=QCVZ2s}72d?xoC%ZQ zAK-vY3UqnSS&eWf#$uK26-P*EbnH7Dym8pOd*eREpEuXA+nR%dZoj_A=q*QY!w-em z&eT%A+TS$Mr2E{h9SH54)vCO5kU1)=XSVi<)NV!0yD#!irukgU@*t6hA>Lf0!8PLx ze2hO#0tdMQD)rG9?+CK(HPdafri_x_)&vGj6@Yg3<`T=5Om8J$NLD`fQ< z@Lv)!R?ghlOMLlNhv9kTUbYg}R5^3q()PGlFlR8J8ghHgC2x1i;B|1-w>eak!5u@) zw1Tmh`~5XnyYHjHwOsyDZnA$Z9B;3=?=D%y$NA9bO-Z;GHZgRWf6(K@lvDiec|*o! z@P%1+SOFf|G#;33azqEM1C9gRdV?ngQ3K|IG|f`ZWsOkfoJ>c4pFf`)qUb)$K(GB| zAA2VOc{9GBtPQ6TIEc2v55xI0mseK}c^-bXqcB|myY0&$sFPKGwDMA(iv3{CW%qH? z9*TLk-L%JXX$ zMxZzR?*Q}{xxeFiVP8e&{RH{-K3P(_HHndFDJ<`2?#Q4sG?xV7g&&45I302jxax zgU^Zk0p9xPd5m92e9h2bxIQ%SiGy&yTs_^@gquygmPEY$%pzeum|DsXPt2YxeF_-ys3OGtcwnAM_(QHYn<+{-1kyBlH>B; z3$7OD6Xym=5B3<$X|j)Q9x8v1iF4GKxf(ji36>+j_z~mZYmbIb#OKZqeEx7xuJS$n z{HTX3d*HeubJbQmT7%$n!u1T|n%2$VdFki1^7#6f=%BcCmC4@%0xMD-z$Z$u^e zfdeOT4fmYEwAn$QBGP5GjR=W znK#Pk|B8LG_+K!uNUag}$&yFL^CKM8MOM0J!}GZxCV}0N0wZUaiDGo)MT#IUMkXz8{QQZQI|k80|RFGCfWF!*55y zw}=|NZRqWD0)75S=OjA!4u#2oc*-7k;QwOjE9wuTR_Dt5`@!NoT7`bXl68}b+cAdb zLf=Qet;tICl5u}@KWmb@UvQyeTg&L)rI@2p=d{6nLG3WV2)ALmS$!$cU&NQ+6Z$^) zoZfIFu7RwF`9*vx*mH|)hVw=E37Gfg{c4L|6X55|*qm2i>ZCAYyQk@Y{fV*TR5eHU z%cZ~z1P&?W?;y#Yg^$cqzGX(J{5k*Fn?u3;8&rrU9|p&__ZPlm?3rAu!3CDj!ljQT z559lV5pAy-tcP8=20sjR(xzoINqX@NFZC;@;y#8Ju6a|?m&Ao|Pi+bC?Vs+KN+R(e zIyBZfsND#%VuL`RXyVtPsow>o4(Hkq#VVI+!ywsTTwfMX!dVG|Udelq4KCUT(nrtd ztCbSz4%c_DPoZQM?7-)cdrb=I{Sfm^1ztGswxW;h&qF><_{*;|sJav)o--J??0ysd z$P5rJZ=yHAlu8RYI8@J*u!XF-5%bG* z291{YA+&Zk|9B@|_0d1TLAs7$@~`f?X9IUga&Uh{O0UcKzS+u`n|ITYyrkhM`>lI* zm3K1UvaR@0-W!i;!Iq}+u&|AUFwQrd)zbDu%G9b z0z-1LTf#{C$sD{0|90Qr&d~Q+cZVMax1mk{R1a2u8GP7mbMoCEO5z5)10D~ryS<~e z2Q3uy3*#id<|@z7E`k`7mz)b8FV-SGn%yu^%JsnlHP0LGpC{enZ}x^^RqOgv0W7O1$dq z@Q<+#yVO({y?1sr6Z^eG{!7r@_RJLRTbmlLJxYB^?vV+B;mYxW{vy4X>!PR%;zAcr zXAsxxth#i@_!fcqZNFM5n|aEY!RzCm=*`}gfi={#@$kc-&tqv7@L)OD+NKN@B96c3 zZMy8|8a-~T=WuPzgWOvK|Cn-n3bf~MhnWNm`l2VHmCbJQ#T4S}>xKVPG{**>60dnf z_QmO*AA4->*?h7folLCvjx-T(rwQ{*PvA^m_l%>z(7x>ZHBz13L82eGmK>OLnjipZXpCWWFXY z%cB!~UxL0b@vulQ;aeFwNi>B))ppi&lHZrtV$~P*GxT{e`kXP4LhRTDK6~*oCz>_) zQshs6vK)N=qapjtQSe*B#^JcuUUcak+!MK0_^*GPs*gJ^T6s7rVH7I{rV9q+d#iN} zQ(o54{>oXt2A>4xrK|AcFpth>Opx*!e#|1-r!@}Md=zqc(#wH8t1W}siu?#+@Jn+r zzYODi=OOeZ;eqYdF^9Nr*v9v|AsmP`c9H|~+?_!j>*|I1h4GB}jECE6z^R!cCedsQ7j>?F|KjOAnhqjj@P_g{V?Kx zK4_>5rEu=5rkS{fYTpCo_nDVGCWTmb9bpNlrVPOAO61Jo)WPBO9(eT2iRc&Gj|4LM z#3jG}D1#VVy}0oigZmACM_z1x^X3OTJqXr0^oY0iKKs2j*jH4)k1K7S&x_nL;)}HY zb`+ttYWEMNnrQzNa>vq73H?R*sol>T>wtZ0x7AE6n=QQFQ*tI9kEUp^>em$FxWYE{ ziE}UZOXx3ge2oM5jO(BW&QBL!Yd+=BsrgLHZX=x6qs15esXN3Y)+kZEsq&^(BZqi{`L49eE$s%IW3Apb)%Rxz&H*+?j0n?w!@NS}!Zi$2e?}Md zN?4anV2%>EG?h17Xf$yCeZ~gqp0)~l2)JLn_<z$u)FshHl z`NDptQ{m#9-;G|S6QCX~I&j0746M=CWp<)(cEx*I@^Ii=vi)#;t-<1@3J?70qVX|v_`af5;8(E^dh8(W(@c-op3p{N z#McyCJTDyo@T+g88FSD`|0IEKqVB0X^cPm~mx6a8JyShMb6TO`bFxky0zM1_KCVT{ z`BblB@jWv1oFSa1Q^kJEH^C%%d(08if4l9iAwAR?uG&lXvW)N?Zu*ZRwzX9EXhLz}N=&9X`QUfzD) zklb1*&KJJG`9w%R@w(Po+T)JrMc(rpJ&C#PjUE=~F&5;?=XKw_JQ~e_xEjgA?Y$pe z%!io7_4l zqhEnRY5&!pSZ;m+-m(1m&d%E7G%}hRvq2p5zVz^g7Z?@>kYL{`emTGX^b9|TQM$RD ze27h&`h-zs7N};qD2J$vS$(giv8U!9*EK1`Hv5@N!%5c1zyS_>FmA_t@CSNw5zJUC zy|+6R>pg=r32oGHHWldS0s4#Z)-b;aPqT)P_7ZK=-1{R z$}dewcy^;gmCI)zs5$u!=Zyd^EWT`}@A(7O!$Y|iSlb(iSCiN{jcO=Hx{@Kn^`jJ9cWz!X|A3D&A7Q`^AMPkn;l8?fKq3 z@zdQ!UW{=c-z@ba!OJ0MCjOy6tVM?{Y8fZ*)m)2(?0CU{Jm28;{9~V7$sKGvWhMvs zv}PO*kX|PDd!G#9%VK^>W8ZwQ%7TBKRN5jsY3vqfvf*6EarFH#*7pVOU&6U7=8pP- zH^ji6?Eb`K@0S`l;LF?3y?(R`~tlZOzg^?^c%PnSR-X%KPLS)e?o}EYO=l@0% z)hh!+X*nnj6EVMdO0K5BV64o!>1OTmTisK+FN^S8&+Xr|{k{~!uzMkNM?cvM9Rt@> zIH2Ra39Xwi`j1Z+-ulK!lk(#SxC=MO(gHb5V~N-ublH|!kVWx(kKf9pN`mYm=DcYU7rwX{j5 z7F^hg`9*kbxR1#_v5qy}iJLGbfQ0UwE(d=WlVZc8JSf_ifS@r3ANe)L6yZ8yWg7lB$gWWb2F&}+cM2G8)_u$k zfBGYFX4R4dkblAP5jo9`7}q{`mc8)dPCv?|XI$gm+nGx9zU#MWdc^%GmqIlMw!6Tn z&I0(}P~n~VAMqqxE~FlvO@Z(q*rNwnYV>-6&(Ar({h8A1Y4s(9gx{2xqq+oq?!r^O z=trPSe@^nurC_9LT`t0p1)j?}_%gZnXL0$PdVg7Lr~T&J@w_lN_+5W}&wL4_1U5<; z$cxE>+g5w0%}Mn4&oFR~Z=$~6MtZ%a1|dD}SS_hH2i% z1N&sW-X_(B9|l~B`PUMpH?Aw57v>#2%R*lb7nZ}H{Pp#a9j*F=tKWP&daKzliT+B_ zg@Q7b`jTJF})I!m}Nzq|(Lmy0;Zfd|WbW9W{@D}i)18oZ0`KDVdj z*^+O4-ll5V9bF@eP zSNISa!2Z>b@a;Mo2|q&<&O`m9Jfd%>B3Fie+q~~?7^1J-wj-|1secbWj*KS&ug``* zM=pakZ-hKDbH~1i-|`eLX8&AF((`1rllED_2P1rH+%K=8&aBVn%f@w#Hzv&c%e?2~^vT)jWyHbMQPV zoCb2xVX2k!(Y}X&jC=RSWa_@=_*sK(0I#kYBIsJ)D-lHF|QP(Pmf4 zGqtU6Lr861>HTCBaZl{Qr%v>k_uSauaSXePe}MXgZWb7P@7lG`to+YkJxB}!2U66J zHy~BHTNOR25r9yWFT{zjr~V0V5?|C#^m?OSs`^qBF&?J(RCnS1&P_yb9q&C>M~Z&` zq+7Of1?Z+x`2cUJ#cAza{IV zThAKe6LNS$gi?IbLf+?miLbzz_;Xc8GK7VPVzUw*T#96j?L&W z=xL?;#wg#lba8&_F#1Yar^J0_Ex*V5^rt)6>)l@qPC05c)*}ziwUWz^2Pqe!S{5x~ z?nrQ`@E1D$oJjc_ugZEIrqodUKNmURX_VpV-s*sg%v8P zkN#^0!EJPEbvrNVz4@~&x<*N@z|5v$Ivz@ zlDuGWAJO{r!OMy|f2-7qFY0TULgc@7Ht5DCN6tb|T@#f57>|hW@Srlq|*K=L~tS z*Q4ix?X!n^63ZFSMx_wjvg=JrQ6AWqe!^`jyBs_rUXVw76UWw*($aM<3qqd-7bf*| z*M48*>BK&8KayOr4KJFMEgUvPs-(yGNMA?thB2WJ@?vg$;0F2X-Z0;!dQ``b%2o4l zq_HrBKmLMy2rp76wWcmuvxI-aoWX!b_*GuQMs?!(bz=|=R@K+1X|LmaaPQDpZI_)z ze{miPdjaOM?7;l;KiFpMe~6R*wbd7MsS5V4^LFRaDc<`Jz;npO^w9UY7b|03lIVdR z-qzY<_XRzE$Q9fhZ_z%`6Zr z1u0KqP9`lnQv0{~Yaz-B7=_*n$SxfQMG;cMIsfhQBeua@amrP$9`cnxAnx2BbB^*Z zZW?d_e;SCsS3XXhCS}mscI{U;yxm`UVwVF6vAX70YdX=dJh%_BrP0XaTw9n#Zm8`V zJ%z0(3?*HcwlAKZBFzm-RM*p*@T$r9K^<3zOBWEjj zsAMM25zjlCpuM}{$XBxdj^~5xId@eif;!h~O^a~N5BXZrH146eqWVkP;!K(=1-k_X z=tj>nz`Kwh++*moV4U+*Z>k`Lrf;>st(B|XKU-#$QGUpVQOeo<13d(c$^Bm_v2D-+ zJ+;fea8W{`A-;u4X5wpbIm|B{!$?C;hdI9s$EFa5>4jf6_9H%?n$HAp8*A}dL%oUX zS^Er2C$9Uu=x@><(C+TUYt#Mp;xs4WA4wwsYAT65@-)N`!;PB;R0p6;9ORx??m!Ol zdbGw#AKgQEU_WMfbsMt@{AAvz{o)|~a=S)Br`x^$uf3;QNgi%|Y_j&N*(9mYr{Xo` zLE59|iFwS8B9vQsGgI!nTMH7&ix(8&T}ThuzF6g!BQJ(lt?$c>K))D+K5UaUH(T9H z^Oktd)R${bwV@AO`y-aPhVwhSLe&WCk^fi`u2T}e$L#?w1oF}>-_1s0H{A1 z#y23G#JcI{a-hBLNv*QzmsbD=Ya|@etubK8?;Hj?cC20UsjIMR;C1fm^o% zd+#s~%3edC3jF0AR$!0DzUl@y4So+jS#PKP(Q7jZa=G^dF8s;j zr;f4J-1GJ%-NUVRqRTblbeaPWEc=?jL@STr#YJN-dbtN}#Pmx6zWzIF$9lg?H7X)xnuO$)L;wZwE@z1s>$~$aGTjDwvzsQ0dy~kbf(cJhz6ET&z&FK#6lYlRi`#=Yc%hvqWi&m0* zzdkaVe&B(mN)m~W|L9et-k(iw_o$ktdlF~p`>@N?!%TgzT~4I-TqGRhDbG_$g{$wz=_4zMu#ByS#9DCyWqHNp~*&m$n)>(5V z7jd6J`YdfuD3u&g!FlWALZd0yuucjkz%Bz$4)v6K;z{`Eidg4_A6fjt&4Z-pzFbVE z^33js5XT)Rjm)9Gjo^rgjMAO~%=%siOukpVEU1%!!?}6>j#5J1se}MBH>!n|+- z9;M*r&!jpIxKoMXb(Y5bB0Z%&qv_yZFr3%SB77QQ41=zSSjHL5FP#|F{{_zr7eqfO z=8eY}8MAv}64~df_hu^_+KLv`eMuR_ue*0^no12D4-$C#9l zl8*Zr`!)y1Nxx-f z=Sv6W1>AR#bGQ0|Y~s4pF(Iv0pWdG=J-QP-lgNqdnIf(lzdiou&?5A2?1#MBd`N`o zgS(K^9m~2H_5xfB;4#lr^|5EjN$&YPw$0L9&B;v3)7+~|vT~%LJM>|&Ec8m@iTGR7 zd#fH%Lo39IpP>)V`QId1cGh6*+<4^TWnP{Gz6lGO?g7O)@lOWV{`R@&rgP8}d;RZ_ z-+$U7XozKTGdjif;pJk~NBAGk7tZOS=g*rL9*4oJ1peQJ_mWu;+?do^_DGhzjF2F$?CU#*p!aW!UwQl zG?m~W+C=c6CE#_*;M%^ff5$36izxOpjB_EWk4L|O^x4}aQWzf8 zI`dMLL%0L`Zw68Okox$?hYL6M>P{=^i?2EzTo2fy{3L6%-|ID=%JQO}viF(0f=nDmBLY!s+`3XekJ z0J?94ua^J$lb({J{|-JkqyiVdJe#8XwxWK7Q*?9Fy>Y_btToG<;M#O7k({pcV!VmY zaz7aOWBmF0rb!%0kMZS5;avA#oK1`YIUI7^kUqFJjwHB(O1We~47O$$_{TU01Ksl| zbB3#Rq&K(*{?*Wt25`~ozu8pq#&vhc)2(S7sPEsFNl^|Fc&*Z7Z++ePk^5(-rD>1V z%n0r42}90=jnwUvh--{D?enDmxc>I43?2vbB#%LV;q!bW&KEWi4@o8ygVsiS(RS3Y zd_9mvH<`yg%bG&DP_;{(+*8cRSF1njoB;|{%e#GZr9UQo7y3bw!&tgBfTp0`qebjz zgR$o)Fz=V;3t08anh&oIy^{NzS~eFB%Df+9R9C=0MtoB6!AkCLMX2&CqdbLQcy&a! z^rW7sn?)ka4-cYtF!)BS$Rw%nh5sB=Oho?-%r9JvhWx(F?PvY8SFR(z-@M4Rj*!o_ z&($2guZ+KC`~e%l$yIj5d5d{dGL*k^ANMilJw6E}t~>nf06stSp(feVr)^jOzD**r zYvnbi$~*|yil)SLZ2Wt~Xny+EMFUjq=HKBS3%XIKx@X`|#{QygLOfMw5K>+Ai+N!p ztm~rv)OF0nzMNJk6IA~VNRfWWPPx$Y*#J_3q|Yg#Ww_|JIoKzUM~z3ha?ym4((B(H zvx@m01qS=@GS*sDcRn7hKAv&j!e3a@r^w*2FEKofD$cC#wnC}Y!h@<&UKYP-jg^z5FLix0eBAoB%~;pe_1~QRc+Oqyg2H3 z-165yJ-n5x;hj!b_Zqi1^fQr+C!O4hao%U~d5pli@KA1~WQGj75jt%=o}8}M6xhjr7_c1iRr z>i6b!x^B$ldvcXD_4Ra%kbTgTJDHLju6rR-_6~``p30#>e*dqDc{^*2K%YJK1_y%k zBzL$C{xRuIMDAnAhoVE&Nhj1dc5#5MSOrFJZ0v@ZDcc}U_y$X$n zu)EmdypVex{1x2+%3j|RxqVDcNdurOaqjZT5ZVsAZCU$Fg4#J`@!Sw%%=n*yIdpJ9 zS;w(XQL1k&^CKRQzEsPl9t_-gi5w^TY5QY8#@OFy8Mh4S=|p~?Wui9VTQY}k)Sdpy z6MGg&{I|RJaw2Z4cUf#pyie=zoJ`L^_jml#RKHJy;Hzi6l3z^m{_vt9eH=$)sqShd zCGHO*jupm&cOhIaBR7!lsL%ObXQm9JH3RED8)$bQWGT)>OIB*u=+2G{5UFa%@Mii~tF zIEDT)TXeKCa=#msn4$NN%FgOH$NmnY^!H1a1xVlO`Qhgc;c~^BiEE1fyxEg5{5`bB z^THg4TjNqRXT7~2Vd}CiniQvV>L73G%!_2-blodp-e>#rAUAj7dYfqEeF4qhvEKyV zIB>&Z@bfQW9^l;DhUAAazmwB|&Paz_sNC=axciKItydk4)?O>@wE!0Bw|w2p2~ zJF)kgb|zW!45`rV#h+dFn!%KhSGCf#N1{JC#Lz9<-O8lcZ%51yzM4p&-1pjG_N1Ti zy6*$MQhIFR*X2H$`a|=`7P&VM^u6-fJOTcB;b?jzZ^;0dZ?I41pYz37$+4_hWTDfo zxT*G>!Q8cOrE^7>j`T7s7kIHhO<^CC<&(kJ?gr!C2sDsa)}G)gLH;k80DYcw*=L$* zj>8f6v1Kq`goIKFS^O0kIHhWJcgOhxF7FvfPw^X7Z;W%A_XMU);x)@(?}pGZ)I&K{ z%cLd@I0KK7Yr01dMgIpEHBuDSXQT2KKjHK)YJom-?h7grAw5VJa39`r7Xioxx0Iv* zsF-hwK0fK4d*5Gs0IChv^B4Xx?ZvW{d-C-@$y9*@ei6>}2xDt{O0@PSFNx7T?C6UI zQcDZJ$Ng9KrC$e;aC>LQ%Y9{IzcA%i_Hxnt65iXwxq6&HT*p{B3AzTZ7ZsOaKgPWR zEl6{O!Nt$d9xL^C#6(LEYSDtMVt?{^;f@wuw$L5!S1n`G^XQ5c(Vl}5Cf&2#=}^q$aUjq*zB&IaTlr3x zTWikdUb5z!|Eh8Y=ypW*Jxq<=%14bslr*IUA$;8e`CfbQRRYeSO2%&TK&Tnk^g~zwh%vuLBK3b z`Qe=OXE`+oClhg<$?z5J;ojc5*eA;i=aa$5#QHOC%5yquFMI6AjV$_{_iV0tv|2IB z!+ja5J{Ra>dziPJ9;(l|o2TwGF$c>2%qB~olMMrcr~-qEVl!3eguaiKlhXF%ign0E zQJNQf>!mu{ZTkvV@5J@Z{xB@&dO~+9j$q8>sYz~Y~d2W%Z3+fPNslwDctpzesr-% zuSZdP;;A9Ou)w!Gxd97-WEb_HhL}nEh~T%3iDq=3jgXkHB*%F(kd|Tnl5!b)YR)-9XFE}=yz9Fm9t0Kd!=-{0?S1x4 z)t(~<=;EAHzZyr;M^S*a&zsN|^QqU0bnOEJAEsj@lDre#iES?_330mjL_U>$lFRpJ z>%AlCw&B19C-ohv-OQMsF5nPx{H{+2U)7J-ne@K#O-Gt}ETX2bv!nEZzHOMJ_kq@J z2=?cyd5zEm%6XeZ*pCU&?1sVpRSv6*{mGjms4wpyhi6ew=32H&QV#AW_>+;Bw8MRI zIIfrN4k2%dgTD5vJke{WnUND<3_JKmjX7}hJA9gK_}gSn-PoAeD~`B+*26Yi{lqTk zB%i*Z8+1VKH(Fu7g+oirT3ot{?gMlWGnW`EEo-qAmLjKhu`($0z}4c8*pJ=SX#3Z zZHHfJIruPK!*~!J1LmU_%^s|CVy+WOpUWd#&C&gi{RsSQOS?6rP}B_0$KFCXP<3L9 z`_!)({IR#geS_;;-+TCJj{*2F?fKk}4^tj!w2S)Hg1|fEy~Q_)+RL1mqCWpE;RL(e zwT(@PzHlyf5V(e1)N#;C^NWem>L0j}rF}<-&Kq}pRvw+G0c_cPB9=%Hh|h#=9Lb}|+PIWu6ETG{@EK0RD( z;vEYN?hCPo{=#!Z*M4T@;O6^NQwiLDHh68Yz|&20O}*`$mLYlTEp}9u1AI#} zh_R<1|LRXq)*%U96iD(pY2`$WrP>{0OG$pcN9@l|)_$jR&a{>b(4Zq#g-xJYsaTT! zF0adm@R8wf1%>CW36xoeMvVM zpbkHb_{1HE*iLY+7xKws*s-F%%&R~j^BTq}Jk2WJ_Z1qPCz*1fiMdtMy<&W0#IZ_465i+?&Xmd9m?iP*I_ z1$yO5?o+81r#dS3$(K-Yy$g9_=@BY-$Ji>sZ3pS)9eX54doZr}5T+-ad!8nJ56|pC zEGK`v&_R4)|9+E0NZZ^w@G9_l-rr?s^3V^Jsj^{JLp_^BmiaL;b<$mvd!hJPp3t-8wZOOgU`uCv#s<^h-Xr-Kpx!9NBgK?pZh1h=Y(6+#^f^m8O zCHRKk;^t&!A|CtK6?p4=I={#`$j0D}u9_pcUq<^i4`vd_6L#b@Q=UvT{5pt@&fFWQ z`L$W+4emb)9c?D4Xq&$C^iZGWR``>7fBX)6W!?`y??-Iw_;yPiMZzx8BF9_i`>ToR z(qCT^d`rn^4tEzn^R#Z@dtvW889XKKt@`elY(00E+%beBwBCWB;-uMQpULaCS5JI& zpBiFPE+6=oavq*^p!N{5cRA*0F0o}BIo}pnLY|FviGApM z^CD>U{~{jP)X&mB&oA&JF%NsBCw;?3qt}s-#r*$bTCU7-KY|Y<{z>Hbxen)k3(PO5 z4;!74qN4?hfZ+A__053vcL2*fl0H~O=IbzZ>F z8{CTda`sgDwDYE8F%}AH4AMv47TRxDDMtM`R`4HkeaRGXu2@*_h5jSHcQ*1Qj(MJQ z&!)MUCtqh|Do?9zkoew{T;Ydd-u$f)-CJUxEdJYZ@VRr2?17*3%B>v=t{@u(u|H%S zVuD|;@}Jt=F(k+Gj~(?J{Gn;TzcX~dh+Yqt^_m6@)*RYG@RRxH{}BE$4$9w7)*ir1 z%_x%>XZ>R&5AjQfSncVWc-g33roox*(64bTzVh8jKk5cs%bBC`#P+vxW5ZOp!u-NN zw*EdiU-15^jQNG{>G|MfbBtr-G5GnX0UUumGF0czui;mgKI=19`gzCurapj-i<(%J zqk(EFo~~g-Z)=^8xdYCQRIRPCkt&Qm$&g>lNO#XXSo9J^;D zUx|7qnrEWT+%J&rE;@4BQ1tP!k@rF*F<0pFMexHoo@#g3kRG1Wj>-YH%B4MwS8L>} zIrSxY4`2@-{kenojQ;DOePQ5i%k#IP4e{RSm?=ehoZy8Gm!j?K#!`$KQQOmq>wPk= zN6{@~nVKHLDm0@_`%@yIt=2es{6i#brRR`CJa$5H)@!CbS; zcir?J^Uz-U5$o;&hoLJ-uQ4rX3~0VrqGKcv8yFI%y%Dd^8|-7gG&WS{;aE?qg#jfv z1RQBD7W|S)aG`xIn}dF2UZaf56#cd6hfv}lN6z9L+K;*#_CJb$s*=CldmOOe_!rl< z_2`x59+2n>xy8ATyG&>LIqaylGS zR5u*ZoF+o{e)vm_^iZ`L5=%@482;~N1GjUxJE7=xfRAX#M)beHj&HgbuX_%B9)+(q z$wfF-S+U@*KnLnsJ5hAVd3#bM54-jr{B8`|9Y}P|1``hUWpd6pDM3dcL&2yUqkQDP zm{)Fakomm9{lVWBS+pkry+Yy}YvrRkqapto(u4HUl@QMungu=#(xuh1mS^enHv@Ae z6YFkapUmHnorCFFD8K2>8)bRG`T*Y!>n8Pj5yuk)uoq*Ut;fhz+5x+JY<*A7IsFZ; zJqI|Cd#kRoG@VA`m>jdpq z&z9aD>UII=3$Arn8+