| import pytest
|
|
|
| import numpy as np
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| from numpy.ma import masked_array
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| from numpy.testing import assert_array_equal
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|
|
|
|
| def test_matrix_transpose_raises_error_for_1d():
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| msg = "matrix transpose with ndim < 2 is undefined"
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| ma_arr = masked_array(data=[1, 2, 3, 4, 5, 6],
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| mask=[1, 0, 1, 1, 1, 0])
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| with pytest.raises(ValueError, match=msg):
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| ma_arr.mT
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|
|
|
|
| def test_matrix_transpose_equals_transpose_2d():
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| ma_arr = masked_array(data=[[1, 2, 3], [4, 5, 6]],
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| mask=[[1, 0, 1], [1, 1, 0]])
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| assert_array_equal(ma_arr.T, ma_arr.mT)
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|
|
|
|
| ARRAY_SHAPES_TO_TEST = (
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| (5, 2),
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| (5, 2, 3),
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| (5, 2, 3, 4),
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| )
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|
|
|
|
| @pytest.mark.parametrize("shape", ARRAY_SHAPES_TO_TEST)
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| def test_matrix_transpose_equals_swapaxes(shape):
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| num_of_axes = len(shape)
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| vec = np.arange(shape[-1])
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| arr = np.broadcast_to(vec, shape)
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|
|
| rng = np.random.default_rng(42)
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| mask = rng.choice([0, 1], size=shape)
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| ma_arr = masked_array(data=arr, mask=mask)
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|
|
| tgt = np.swapaxes(arr, num_of_axes - 2, num_of_axes - 1)
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| assert_array_equal(tgt, ma_arr.mT)
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|
|
