oldcode.txt

# def value_to_biome(noise_grid):
#     # Digitize noise values based on thresholds
#     biome_indices = np.digitize(noise_grid, thresholds) - 1

#     # Convert indices to biome names
#     biome_names = np.array([
#         'deep_ocean', 'ocean', 'high_ocean', 'river',
#         'plains', 'forest', 'hills', 'mountain', 'snow', 'ice'
#     ])

#     # Map numerical indices to biome names
#     return biome_names[biome_indices]

# # Function to generate the biome map from the noise grid
# def generate_biome_map(noise_grid):
#     biome_map = []
#     for row in noise_grid:
#         biome_row = [value_to_biome(value) for value in row]
#         biome_map.append(biome_row)
#     return np.array(biome_map)

# # Function to map biome names to numbers
# def biome_to_number(biome_map):
#     # Define a dictionary that maps biome names to unique integers
#     biome_to_num = {
#         'deep_ocean': 0,
#         'ocean': 1,
#         'high_ocean': 2,
#         'river': 3,
#         'plains': 4,
#         'forest': 5,
#         'hills': 6,
#         'mountain': 7,
#         'snow': 8,
#         'ice': 9
#     }
#     # Convert biome names to numbers
#     return np.vectorize(biome_to_num.get)(biome_map)

# Function to display the biome map with custom colors

    # Define the color mapping for each biome

noise_map = generate_terrain_map(MAP_WIDTH,MAP_HEIGHT,SCALE)
# biome_map = assign_biomes(noise_map)
# print(biome_map)
# print(BASE)
# display_biome_map(biome_map)
# base_noise_map = generate_perlin_noise_with_octaves(MAP_WIDTH, MAP_HEIGHT, scale=20, base=42)
# base_colors = assign_biome_colors(base_noise_map)
# # Generate additional layers (vegetation, rainfall)
# vegetation_noise_map = generate_perlin_noise_with_octaves(MAP_WIDTH, MAP_HEIGHT, scale=15, base=24)
# rainfall_noise_map = generate_perlin_noise_with_octaves(MAP_WIDTH, MAP_HEIGHT, scale=10, base=36)
# # Normalize and convert vegetation and rainfall to grayscale colors
# vegetation_colors = np.stack([vegetation_noise_map] * 3, axis=-1)  # Gray-scale
# rainfall_colors = np.stack([rainfall_noise_map] * 3, axis=-1)      # Gray-scale
# # Blend layers
# final_map = blend_layers(base_colors, vegetation_colors, rainfall_colors, vegetation_weight=0.6, rainfall_weight=0.4)
# # Display final map
# plt.figure(figsize=(10, 10))
# plt.imshow(final_map, origin='upper', interpolation='nearest')
# plt.axis('off')
# plt.title("Blended Biome Map")

# VE_MIN = (54, 37, 16)
# VE_MAX =  (38, 135, 41)
# RAIN_MIN = (86, 86, 186)
# RAIN_MAX = (16, 16, 105)
# BASE_BLEND = 0.5
# VE_BLEND = 0.15
# RAIN_BLEND = 0.35