25 lines
664 B
Python
25 lines
664 B
Python
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import numpy as np
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import pytest
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from sklearn.utils._weight_vector import (
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WeightVector32,
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WeightVector64,
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)
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@pytest.mark.parametrize(
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"dtype, WeightVector",
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[
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(np.float32, WeightVector32),
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(np.float64, WeightVector64),
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],
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)
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def test_type_invariance(dtype, WeightVector):
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"""Check the `dtype` consistency of `WeightVector`."""
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weights = np.random.rand(100).astype(dtype)
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average_weights = np.random.rand(100).astype(dtype)
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weight_vector = WeightVector(weights, average_weights)
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assert np.asarray(weight_vector.w).dtype is np.dtype(dtype)
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assert np.asarray(weight_vector.aw).dtype is np.dtype(dtype)
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