Missing resampling use case in tests
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 48/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- testing-qa
Research direction
Start by reading the resampling tests named in the issue, especially test_apply_4d and test_LinearTransformsMapping_apply, along with the linked pull-request discussion. Add coverage for applying one 3D transform across all timepoints of a 4D dataset, then run the relevant test suite and confirm the missing matrix case passes.
Written by the indexing model from the issue text.
Description
Antecedent: https://github.com/nipy/nitransforms/pull/278#discussion_r2276640808
As per codex:
Input spatialimage |
Transform | Covered? | Tests exercising the case |
|---|---|---|---|
| 3D (incl. 4D singleton) | 3D | ✅ Yes | test_apply_singleton_time_dimension, test_apply_linear_transform, test_displacements_field1, test_displacements_field2, test_apply_transformchain |
| 4D | 4D | ✅ Yes | test_LinearTransformsMapping_apply (functional realignment), test_apply_4d (synthetic per-volume transforms) |
| 3D (incl. 4D singleton) | 4D | ✅ Yes | test_LinearTransformsMapping_apply (moving fieldmap with head-motion transforms) |
| 4D | 3D | ❌ No | No test applies a single 3D transform across multiple timepoints of a 4D dataset (aside from the singleton-time regression check) |
- Dominant language
- Python
- Stars
- 35
- Forks
- 18
- Avg merge
- 21h 48m
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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