Comments (9)
from nitime.
That sounds like a good idea.
from nitime.
Is this resolved by #217 ?
from nitime.
Oh I guess not. Wheels are built against 2.0 but probably not tested against 2.0 actually 🤦
For example there are still np.sctypes
in the code which no longer exists. I can open a quick PR to at least have one CI run with NumPy 2.0rc2 if that would help
from nitime.
#217 also didn't resolve #219 (edit: fixed issue number). I think we can add the nitime test suite to the cibuildwheel post-build step, to avoid adding a new entry/dimension to the regular test matrix.
https://cibuildwheel.pypa.io/en/stable/options/#test-command
from nitime.
I think we can add the nitime test suite to the cibuildwheel post-build step, to avoid adding a new entry/dimension to the regular test matrix.
Good call, I'll add this to #221. It's not 100% trivial, though, because 2.0 hasn't officially landed yet. I could separate the tool.cibuildwheel.test-requires
to use different NumPy versions for testing different wheels if that would help. This is similar to how in #221 I just install NumPy 2.1.dev for the Python 3.11 run only.
from nitime.
Is aarch only supported by numpy 2? I think they've had wheels for ages, and we should be able to test against numpy 1.
from nitime.
Is aarch only supported by numpy 2? I think they've had wheels for ages, and we should be able to test against numpy 1.
No it's supported on 1.26 for example as well. I was just saying "enabling tests during wheel build" won't trivially solve the "need to test against NumPy 2.0" problem. But agreed that enabling tests during wheel building would help with #219 either way.
from nitime.
Sorry, yeah. I was just going where the conversation was, and looking at the issue title, I see why you assumed numpy 2.0.
from nitime.
Related Issues (20)
- feature request: multiple `p` values for `detect_lines` HOT 1
- Failing tests with nibabel 3.2.0 HOT 3
- What is the Entropy Estimation Based on? HOT 2
- nitime not installing in Jupyter HOT 2
- will it work for multivariate time series prediction both regression and classification
- nitime.analysis.coherence.MTCoherenceAnalyzer causing an error when fed with bandwidth parameter HOT 3
- Will this work for analyzing multichannel EcoG data from rat cortex? HOT 1
- tsa.periodogram() returns frequencies of all 0s when Fs=1. HOT 3
- negative values in confidence interval of multi-taper coherence HOT 8
- I can't install nitime with pip HOT 3
- `test_FilterAnalyzer` fails with scipy 1.8.0 HOT 1
- `test_psd_matlab` fails with matplotlib 3.6.2 HOT 2
- Test with Python 3.12 / numpy 1.26
- test_viz.py failure with "ValueError: Masked arrays must be 1-D" HOT 6
- New release HOT 2
- Test failures for 32 bit architectures HOT 2
- Could you provide `aarch64` wheels? HOT 2
- Test failure on aarch64 HOT 1
- Release procedure does not create a GitHub release HOT 3
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from nitime.