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Description
Describe the issue:
This came out from @mathause 's investigation in pydata/xarray#8802 (comment)
Reproduce the code example:
import numpy as np
otype = "datetime64[ns]"
arr = np.array(['2024-01-01', '2024-01-02', '2024-01-03'], dtype='datetime64[ns]')
np.vectorize(lambda x: x, signature="(i)->(j)", otypes=[otype])(arr)Error message:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[1], line 4
2 otype = "datetime64[ns]"
3 arr = np.array(['2024-01-01', '2024-01-02', '2024-01-03'], dtype='datetime64[ns]')
----> 4 np.vectorize(lambda x: x, signature="(i)->(j)", otypes=[otype])(arr)
File ~/envs/test-xarray/lib/python3.10/site-packages/numpy/lib/function_base.py:2372, in vectorize.__call__(self, *args, **kwargs)
2369 self._init_stage_2(*args, **kwargs)
2370 return self
-> 2372 return self._call_as_normal(*args, **kwargs)
File ~/envs/test-xarray/lib/python3.10/site-packages/numpy/lib/function_base.py:2365, in vectorize._call_as_normal(self, *args, **kwargs)
2362 vargs = [args[_i] for _i in inds]
2363 vargs.extend([kwargs[_n] for _n in names])
-> 2365 return self._vectorize_call(func=func, args=vargs)
File ~/envs/test-xarray/lib/python3.10/site-packages/numpy/lib/function_base.py:2446, in vectorize._vectorize_call(self, func, args)
2444 """Vectorized call to `func` over positional `args`."""
2445 if self.signature is not None:
-> 2446 res = self._vectorize_call_with_signature(func, args)
2447 elif not args:
2448 res = func()
File ~/envs/test-xarray/lib/python3.10/site-packages/numpy/lib/function_base.py:2506, in vectorize._vectorize_call_with_signature(self, func, args)
2502 outputs = _create_arrays(broadcast_shape, dim_sizes,
2503 output_core_dims, otypes, results)
2505 for output, result in zip(outputs, results):
-> 2506 output[index] = result
2508 if outputs is None:
2509 # did not call the function even once
2510 if otypes is None:
ValueError: Cannot convert from specific units to generic units in NumPy datetimes or timedeltasPython and NumPy Versions:
1.26.4
3.10.1 (main, Dec 15 2021, 17:45:54) [GCC 9.3.0]Runtime Environment:
[{'numpy_version': '1.26.4',
'python': '3.10.1 (main, Dec 15 2021, 17:45:54) [GCC 9.3.0]',
'uname': uname_result(system='Linux', node='ip-172-34-24-37', release='5.15.0-1051-aws', version='#56~20.04.1-Ubuntu SMP Tue Nov 28 15:43:31 UTC 2023', machine='x86_64')},
{'simd_extensions': {'baseline': ['SSE', 'SSE2', 'SSE3'],
'found': ['SSSE3',
'SSE41',
'POPCNT',
'SSE42',
'AVX',
'F16C',
'FMA3',
'AVX2',
'AVX512F',
'AVX512CD',
'AVX512_SKX'],
'not_found': ['AVX512_KNL',
'AVX512_KNM',
'AVX512_CLX',
'AVX512_CNL',
'AVX512_ICL']}},
{'architecture': 'SkylakeX',
'filepath': '/home/ubuntu/envs/test-xarray/lib/python3.10/site-packages/numpy.libs/libopenblas64_p-r0-0cf96a72.3.23.dev.so',
'internal_api': 'openblas',
'num_threads': 4,
'prefix': 'libopenblas',
'threading_layer': 'pthreads',
'user_api': 'blas',
'version': '0.3.23.dev'}]
NoneContext for the issue:
No response
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