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Summary
(i, j)notation in the affine transform formula with explicit(col_index, row_index)to prevent confusion with array indexing's(row, col)conventionMotivation
In array programming (numpy, etc.),
(i, j)universally means(row, col). But in the transform formula,iwas the column index andjwas the row index (matching the Affine library's(col, row)input ordering). This mismatch could lead to implementations getting the transform backwards.