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import numpy as np
import pytest
from sklearn.utils._typedefs import testing_make_array_from_typed_val
@pytest.mark.parametrize(
"type_t, value, expected_dtype",
[
("float64_t", 1.0, np.float64),
("float32_t", 1.0, np.float32),
("intp_t", 1, np.intp),
("int8_t", 1, np.int8),
("int32_t", 1, np.int32),
("int64_t", 1, np.int64),
("uint8_t", 1, np.uint8),
("uint32_t", 1, np.uint32),
("uint64_t", 1, np.uint64),
],
)
def test_types(type_t, value, expected_dtype):
"""Check that the types defined in _typedefs correspond to the expected
numpy dtypes.
"""
assert testing_make_array_from_typed_val[type_t](value).dtype == expected_dtype
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