Deleted TemplateTransform

[ternaus]

Summary by Sourcery

Chores:

• Remove TemplateTransform class.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request removes the TemplateTransform class and all associated tests from the Albumentations library. The transform was used for blending input images with specified templates, but it has been removed in this pull request.

Class diagram showing the removal of TemplateTransform

classDiagram
  class FDA
  class HistogramMatching
  class PixelDistributionAdaptation

  class TemplateTransform {
    <<removed>>
  }

  FDA --|> ImageOnlyTransform
  HistogramMatching --|> ImageOnlyTransform
  PixelDistributionAdaptation --|> ImageOnlyTransform
  TemplateTransform --|> ImageOnlyTransform

  note for TemplateTransform "This class has been removed in this PR"

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File-Level Changes

Change	Details	Files
Removed the TemplateTransform class and its related tests.	Deleted the TemplateTransform class from albumentations/augmentations/mixing/domain_adaptation.py. Removed TemplateTransform from the __all__ list in albumentations/augmentations/mixing/domain_adaptation.py. Removed all tests related to TemplateTransform in tests/test_transforms.py. Removed TemplateTransform from except_augmentations in multiple tests in tests/test_transforms.py. Removed TemplateTransform from tests/test_augmentations.py. Removed TemplateTransform from tests/test_serialization.py. Removed TemplateTransform from tests/test_core.py. Removed TemplateTransform from tests/test_targets.py. Removed TemplateTransform from tests/transforms3d/test_transforms.py.	albumentations/augmentations/mixing/domain_adaptation.py tests/test_transforms.py tests/test_augmentations.py tests/test_serialization.py tests/test_core.py tests/test_targets.py tests/transforms3d/test_transforms.py

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[sourcery-ai]

Hey @ternaus - I've reviewed your changes - here's some feedback:

Overall Comments:

• It would be helpful to add a reason for removing TemplateTransform in the description.

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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