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