Add jpeg, png, gif, and jpg-xl support

[d33bs]

Description

This PR adds jpeg, png, gif, and jpg-xl support for images to be displayed within CDF's.

What kind of change(s) are included?

• Documentation (changes docs or other related content)
• Bug fix (fixes an issue).
• Enhancement (adds functionality).
• Breaking change (these changes would cause existing functionality to not work as expected).

Checklist

Please ensure that all boxes are checked before indicating that this pull request is ready for review.

• I have read and followed the CONTRIBUTING.md guidelines.
• I have searched for existing content to ensure this is not a duplicate.
• I have performed a self-review of these additions (including spelling, grammar, and related).
• These changes pass all pre-commit checks.
• I have added comments to my code to help provide understanding
• I have added a test which covers the code changes found within this PR
• I have deleted all non-relevant text in this pull request template.

Summary by CodeRabbit

• New Features

  • Added support for displaying JPEG XL images and raw encoded JPEG, PNG, GIF, and JPEG XL image data in dataframes.
  • Expanded image-file recognition to include JPG, JPEG, PNG, GIF, and JXL formats.
  • JPEG XL images are converted for inline display; other supported encoded formats are embedded directly.

• Bug Fixes

  • Improved coverage report generation when tests decode JPEG XL images.

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📝 Walkthrough

Walkthrough

Image loading and dataframe HTML display now support JPEG XL and raw encoded image bytes in JPEG, PNG, and GIF formats. Tests cover file loading, image rendering, byte detection, and error handling.

Changes

Image Format Support

Layer / File(s)	Summary
Image file format loading src/cytodataframe/image.py, src/cytodataframe/frame.py, tests/test_frame.py, pyproject.toml	Image column detection now includes .jpg, .jpeg, .png, .gif, and .jxl. .jxl files use JPEG XL decoding. Tests cover supported extensions, image rendering, and decoder errors. Coverage omits .pyx files.
Encoded image bytes in dataframe HTML src/cytodataframe/frame.py, tests/test_frame.py	Dataframe HTML generation detects columns with encoded image bytes. JPEG, PNG, and GIF bytes are embedded directly. JPEG XL bytes are decoded and rendered as PNG. Tests cover format handling, byte detection, and undecodable JPEG XL values.

Estimated code review effort: 3 (Moderate) | ~25 minutes

Sequence Diagram(s)

sequenceDiagram
  participant DataFrameHTML
  participant CytoDataFrame
  participant JPEGXLDecoder
  participant Browser
  DataFrameHTML->>CytoDataFrame: Generate dataframe HTML
  CytoDataFrame->>CytoDataFrame: Detect encoded image byte columns
  CytoDataFrame->>CytoDataFrame: Process encoded image values
  alt JPEG, PNG, or GIF bytes
    CytoDataFrame->>Browser: Embed original bytes in img element
  else JPEG XL bytes
    CytoDataFrame->>JPEGXLDecoder: Decode bytes
    JPEGXLDecoder-->>CytoDataFrame: Return image array
    CytoDataFrame->>Browser: Render image as PNG
  end

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Merge Risk: 🟡 Moderate · up to 003a9

Some supported image columns or files will not display correctly, and large tables can do unnecessary work on each render. Address these before merging unless the limitations are explicitly accepted.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 67.74% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 31 functions across 3 files. (1 skipped: …	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly summarizes the main change: support for JPEG, PNG, GIF, and JPEG XL images in CytoDataFrame displays.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

Full details: Docstring Coverage

Explanation

Docstring coverage is 67.74% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 31 functions across 3 files. (1 skipped: 1 unsupported.)

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[d33bs]

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Actionable comments posted: 3

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• 🪄 Fix CodeRabbit comments on this PR

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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@src/cytodataframe/frame.py`:
- Around line 3327-3328: Update the image-column detection guard in the
rendering flow to recognize Arrow-backed binary dtypes as well as object dtypes,
so valid image bytes are rendered. Before assigning rendered tags, convert the
display copy of any detected Arrow-backed binary column to an HTML-compatible
dtype.
- Line 6040: Update the HTML rendering loop that calls
find_encoded_image_bytes_columns to pass only data.loc[display_indices] to the
detector, limiting byte detection to rows being rendered.

In `@src/cytodataframe/image.py`:
- Around line 43-45: Update read_image_file to normalize any decoded (H, W, 2)
grayscale-plus-alpha array to RGBA after both the JPEG XL and imageio paths
converge. Leave other array shapes unchanged so file display treats the result
as a 2D image rather than a volume.

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ℹ️ Review info

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Configuration used: defaults

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Run ID: f3dd856d-e810-4363-85ff-494500859a4b

📥 Commits

Reviewing files that changed from the base of the PR and between 3a0d4b2 and 003a9ce.

📒 Files selected for processing (4)

• pyproject.toml
• src/cytodataframe/frame.py
• src/cytodataframe/image.py
• tests/test_frame.py

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[gwaybio]

great to see! a few minor comments

[d33bs]

Thanks @gwaybio !