Fix affine balanxced scale 1

[ternaus]

Fix: #2004

Summary by Sourcery

Fix the Affine transformation's scale handling to support both float and tuple inputs, ensuring balanced scaling is applied correctly. Add tests to verify the correct behavior of the get_scale method with different configurations. Update the pre-commit configuration to use the latest mypy version.

Bug Fixes:

• Fix the handling of scale values in the Affine transformation to correctly process both float and tuple inputs, ensuring balanced scaling is applied appropriately.

Tests:

• Add comprehensive tests for the get_scale method in the Affine transformation to verify correct behavior with various scale configurations, including balanced scaling and keeping aspect ratio.

Chores:

• Update the pre-commit configuration to use mypy version v1.12.1.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request fixes an issue with the Affine transformation in the albumentations library, specifically addressing the balanced scale functionality. The changes improve the handling of scale parameters, add type checking, and include new test cases to ensure correct behavior.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Refactored the get_scale method in the Affine transformation class	Added support for single float values in the scale parameter Improved type checking for scale values Restructured the logic for balanced scale calculations Added error handling for invalid scale types	albumentations/augmentations/geometric/transforms.py
Added comprehensive test cases for the get_scale method	Created parametrized tests for various scale, keep_ratio, and balanced_scale combinations Added specific tests for balanced scale behavior Included tests for keep_ratio functionality	tests/functional/test_affine.py
Updated pre-commit configuration	Upgraded mypy version from v1.12.0 to v1.12.1	.pre-commit-config.yaml

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[sourcery-ai]

Hey @ternaus - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟡 General issues: 1 issue found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟡 Complexity: 1 issue found
• 🟢 Documentation: all looks good

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