Updated image compression

[ternaus]

Summary by Sourcery

Remove deprecated quality_lower and quality_upper parameters from ImageCompression transform, and update tests accordingly.

Enhancements:

• Simplified the ImageCompression transform by removing deprecated parameters.

Tests:

• Updated tests to reflect the removal of deprecated parameters in ImageCompression transform.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request refactors the ImageCompression transform to use quality_range instead of the deprecated quality_lower and quality_upper parameters. It simplifies the initialization logic and removes the associated deprecation warnings. The tests have been updated to reflect these changes.

Sequence diagram for simplified image compression process

sequenceDiagram
    participant C as Client
    participant IC as ImageCompression
    participant F as fmain
    C->>IC: apply(image)
    IC->>IC: get_params()
    Note over IC: Generate random quality
    Note over IC: Determine image type (.jpg/.webp)
    IC->>F: image_compression(img, quality, image_type)
    F-->>C: compressed_image

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Class diagram showing changes to ImageCompression initialization schema

classDiagram
    class InitSchema {
        +quality_range: tuple[int, int]
        +compression_type: Literal["jpeg", "webp"]
    }
    note for InitSchema "Removed deprecated quality_lower and quality_upper fields
Simplified validation logic"

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File-Level Changes

Change	Details	Files
Refactored ImageCompression to use quality_range.	Removed deprecated quality_lower and quality_upper parameters from ImageCompression. Updated the validation logic to use quality_range. Removed tests related to deprecated parameters. Simplified the get_params method by directly assigning the image type based on compression_type.	albumentations/augmentations/transforms.py tests/test_transforms.py

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[sourcery-ai]

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

Overall Comments:

• Please add back test cases for the current initialization parameters (quality_range and compression_type) to maintain test coverage of the core functionality.

Here's what I looked at during the review

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

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 89.90%. Comparing base (b1a79c2) to head (ebc37b8).
Report is 362 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff            @@
##           main    #2256       +/-   ##
=========================================
+ Coverage      0   89.90%   +89.90%     
=========================================
  Files         0       50       +50     
  Lines         0     8963     +8963     
=========================================
+ Hits          0     8058     +8058     
- Misses        0      905      +905     

Flag	Coverage Δ
ubuntu-py3.12	89.90% <100.00%> (?)

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