Add tests for contigous masks

[ternaus]

Added tests, just in case for:
#1972

Summary by Sourcery

Add a test case to verify the behavior of the ToTensorV2 transformation when applied to non-contiguous arrays with a RandomRotate90 transformation.

Tests:

• Add a test for the ToTensorV2 transformation on a non-contiguous array with a RandomRotate90 transformation.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request adds a new test case to ensure that the ToTensorV2 transformation works correctly with non-contiguous arrays when combined with the RandomRotate90 augmentation. The test is added to address a potential issue reported in the Albumentations library.

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

File-Level Changes

Change	Details	Files
Added a new test case for ToTensorV2 transformation with non-contiguous arrays	Created a new test function 'test_to_tensor_v2_on_non_contiguous_array_with_random_rotate90' Defined a composition of RandomRotate90 and ToTensorV2 transformations Generated random image and mask data for testing Applied the transformations to the generated data	tests/test_pytorch.py

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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: all looks good
• 🟢 Security: all looks good
• 🟡 Testing: 2 issues found
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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