Cyclic Annotation Test

[tamsinrogers]

Cyclic Annotation Error Test (tests/unit/transforms/test_annotation_cycle.py)
Compute annotation transform error by cycling an annotation metric through all graph-defined surface-to-surface transforms and quantifying reconstruction drift when returning to the origin space.

uv run pytest /Users/tamsin.rogers/Desktop/github/neuromaps-prime/tests/unit/transforms/test_annotation_cycle.py -v -x -s --data-dir /Users/tamsin.rogers/Desktop/github/neuromaps-prime -o log_cli=true -o log_cli_level=DEBUG

[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
neuromaps_prime
__init__.py	0	0	100%
niwrap.py	56	0	100%
neuromaps_prime/graph
__init__.py	8	0	100%
builder.py	110	2	98%	329, 397
cache.py	113	0	100%
core.py	89	0	100%
models.py	76	0	100%
utils.py	53	0	100%
neuromaps_prime/graph/transforms
__init__.py	0	0	100%
surface.py	97	0	100%
volume.py	40	0	100%
neuromaps_prime/resources
__init__.py	12	0	100%
neuromaps_prime/transforms
__init__.py	0	0	100%
surface.py	35	0	100%
utils.py	42	9	78%	98–100, 102–103, 111–113, 115
volume.py	19	0	100%
TOTAL	750	11	98%

Tests	Skipped	Failures	Errors	Time
222	2 💤	0 ❌	0 🔥	13.973s ⏱️