Add time_unit argument to CFTimeIndex.to_datetimeindex
#16014
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2 errors and 12 warnings
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Run tests
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Restore cached hypothesis directory
Input 'save-always' has been deprecated with message: save-always does not work as intended and will be removed in a future release.
A separate `actions/cache/restore` step should be used instead.
See https://github.com/actions/cache/tree/main/save#always-save-cache for more details.
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
|
|
Run tests:
xarray/coding/variables.py#L348
NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future.
For the old behavior, usually:
np.array(value).astype(dtype)`
will give the desired result (the cast overflows).
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