Sample dtype validation fails with optional numpy arrays #1971
Description
Minimal reproducible example:
import polars as pl
import numpy as np
import numpy.typing as npt
from datumaro.experimental import *
from datumaro.experimental.fields import *
class MySample(Sample):
confidence: npt.NDArray[np.float32] | None = score_field(dtype=pl.Float32(), is_list=True)
s = MySample(confidence=np.array([0.8]))Error:
Traceback (most recent call last):
File "<python-input-0>", line 10, in <module>
s = MySample(confidence=np.array([0.8]))
File "/home/leoll2/training_extensions/application/backend/.venv/lib/python3.13/site-packages/datumaro/experimental/dataset.py", line 41, in __init__
self.validate()
~~~~~~~~~~~~~^^
File "/home/leoll2/training_extensions/application/backend/.venv/lib/python3.13/site-packages/datumaro/experimental/dataset.py", line 67, in validate
if not self._validate_attribute_type(expected_type, value):
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
File "/home/leoll2/training_extensions/application/backend/.venv/lib/python3.13/site-packages/datumaro/experimental/dataset.py", line 89, in _validate_attribute_type
return isinstance(value, expected_type)
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