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36 lines
1,006 B
Python
36 lines
1,006 B
Python
import numpy as np
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import pytest
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from pydantic import ValidationError, BaseModel
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from numpydantic.exceptions import DtypeError, ShapeError
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from tests.conftest import ValidationCase
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def numpy_array(case: ValidationCase) -> np.ndarray:
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if issubclass(case.dtype, BaseModel):
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return np.full(shape=case.shape, fill_value=case.dtype(x=1))
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else:
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return np.zeros(shape=case.shape, dtype=case.dtype)
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def _test_np_case(case: ValidationCase):
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array = numpy_array(case)
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if case.passes:
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case.model(array=array)
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else:
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with pytest.raises((ValidationError, DtypeError, ShapeError)):
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case.model(array=array)
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def test_numpy_shape(shape_cases):
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_test_np_case(shape_cases)
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def test_numpy_dtype(dtype_cases):
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_test_np_case(dtype_cases)
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def test_numpy_coercion(model_blank):
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"""If no other interface matches, we try and coerce to a numpy array"""
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instance = model_blank(array=[1, 2, 3])
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assert isinstance(instance.array, np.ndarray)
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