[Aditya17-bot]

Adds unit tests for the image transform helpers that only ran through model tests (which download weights): pad2square, crop_ndarray, resize_ndarray, ResizeForVisionEncoder, ImageSplitter and SquareResize. They are used by Jina CLIP (PadtoSquare) and ColModernVBERT (Idefics3 resizing and splitting).

What the tests pin:

• pad2square: a smaller image is pasted top-left on the fill color; a larger one is center-cropped with round-half-to-even offsets (7 -> 2, 9 -> 2), matching the torchvision note in the code.
• crop_ndarray: channel-first and channel-last crops agree.
• resize_ndarray: size is (width, height), the layout stays (C, H, W), uint8 stays uint8, and float images stay in [0, 1].
• ResizeForVisionEncoder: landscape, portrait, smaller-than-one-tile and exact-tile inputs round up to multiples of the tile size, with the same sizes as resize_for_vision_encoder in transformers' Idefics3 image processor.
• ImageSplitter: small images pass through untouched; larger ones give rows * cols tiles in row order plus a 512x512 global view; per-image grouping is kept.
• SquareResize: each image is wrapped in its own list at size x size.

ImageSplitter is only tested on multiples of the tile size, since ResizeForVisionEncoder always runs first. For other sizes it splits into evenly sized patches, whereas transformers' current split_images takes fixed tiles, so I didn't want to pin that path.

The tests are in a new file so they don't conflict with #760 and #761, which both edit tests/test_image_transform.py. I left resize_longest_edge out because #761 covers it.

Coverage from tests/test_image_transform.py alone vs. with the new file:

• functional.py: 57% -> 82%
• operators.py: 43% -> 62%

$ pytest tests/test_image_transform_ops.py tests/test_image_transform.py
29 passed
$ ruff format --check / ruff check: clean

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• tests/test_image_transform_ops.py

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📝 Walkthrough

Walkthrough

The change adds tests for image padding, cropping, and resizing, including channel layouts and output dtype expectations. It adds assertions for vision-encoder dimensions, image-splitting tile contents and counts, per-image grouping, and SquareResize frame shapes. It does not change production code.

Priority: ⬇️ Low

Estimated code review effort: 2 (Simple) | ~12 minutes

Change: Other

Merge Risk: ⚪ Minimal · up to 8f307

No merge-blocking issue is identified; merge after normal checks.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 8.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 12 functions across 1 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly summarizes the main change: adding tests for image transform helpers used in Idefics3 and Jina CLIP preprocessing.
Description check	✅ Passed	The description explains which image transform helpers the tests cover and summarizes the tested behavior and reported validation results.
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.

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[joein]

hanks for putting this together! Most of these paths are already exercised end to end by the ColModernVBERT and Jina CLIP model tests, or aren’t reachable with the shipped model configs, so we’d rather not maintain a separate unit suite for them. Closing for now.