pull_requests: 1557590401

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
1557590401 PR_kwDOAMm_X85c1vGB 8315 closed 0 Handle numpy missing the array api function astype 14371165 This is how our get_array_namespace works: https://github.com/pydata/xarray/blob/dafd726c36e24ac77427513a4a149a6933353b66/xarray/core/duck_array_ops.py#L44-L48 Which usually works. But not for astype. Using np.array_api doesn't work because you have to use np.array_api.Array instead of np.ndarray: ```python import numpy.array_api as nxp nxp.astype(np.array([1, 2,]), np.dtype(float)) Traceback (most recent call last): File "C:\Users\J.W\AppData\Local\Temp\ipykernel_8616\23329947.py", line 1, in <cell line: 1> nxp.astype(np.array([1, 2,]), np.dtype(float)) File "C:\Users\J.W\anaconda3\envs\xarray-tests\lib\site-packages\numpy\array_api\_data_type_functions.py", line 20, in astype return Array._new(x._array.astype(dtype=dtype, copy=copy)) AttributeError: 'numpy.ndarray' object has no attribute '_array' ``` I found it simpler to just change astype here. An alternative solution would be to use: https://github.com/data-apis/array-api-compat https://github.com/tomwhite/cubed/pull/317 Seen in #8294. 2023-10-15T22:32:17Z 2023-10-16T06:25:20Z 2023-10-16T06:25:19Z 2023-10-16T06:25:19Z 4520ce9e30425bc48ac5d5c3613f638f9bf9390a     0 b957b8d4d74eff42ec474d652380e817d26828a6 dafd726c36e24ac77427513a4a149a6933353b66 MEMBER   13221727 https://github.com/pydata/xarray/pull/8315  

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