MAINT: fix warnings emitted by loading npy/npz data files #679
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This fixes the following warning: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning.
To do so, it's necessary to actually load the data like this:
```
>>> import numpy as np
>>> a = np.load('dwt_matlabR2012a_result.npz')
>>> keys = list(a.keys())
>>> vals = [a[key] for key in keys]
>>> d = {key:val for key, val in zip(keys, vals)}
>>> np.savez('dwt_matlabR2012a_result.npz', **d)
```
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The 32-bit Windows jobs are failing on building |
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I'll go ahead and merge this, since it's a trivial fix. |
rgommers
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As seen in PyWaveletsgh-679, contourpy fails to build from source on 32-bit. This is fixable, it should build from source just fine. But we don't want to deal with that if we can avoid it. And contourpy 1.0.7 works just fine. [skip actions]
rgommers
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Aug 22, 2023
As seen in PyWaveletsgh-679, contourpy fails to build from source on 32-bit. This is fixable, it should build from source just fine. But we don't want to deal with that if we can avoid it. And contourpy 1.0.7 works just fine. [skip actions]
rgommers
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Aug 22, 2023
…win32 As seen in PyWaveletsgh-679, contourpy fails to build from source on 32-bit. This is fixable, it should build from source just fine. But we don't want to deal with that if we can avoid it. And contourpy 1.0.7 works just fine. Also drop wheel builds, that's doing twice the same. [skip actions]
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This caused CI failures, see gh-678. See the commit messages for how to load/save, for large npz files it's not enough to just roundtrip
np.savez(np.load(...)).