33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
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""" Testing miobase module
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"""
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import numpy as np
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from numpy.testing import assert_equal
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from pytest import raises as assert_raises
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from scipy.io.matlab._miobase import matdims
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def test_matdims():
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# Test matdims dimension finder
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assert_equal(matdims(np.array(1)), (1, 1)) # NumPy scalar
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assert_equal(matdims(np.array([1])), (1, 1)) # 1-D array, 1 element
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assert_equal(matdims(np.array([1,2])), (2, 1)) # 1-D array, 2 elements
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assert_equal(matdims(np.array([[2],[3]])), (2, 1)) # 2-D array, column vector
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assert_equal(matdims(np.array([[2,3]])), (1, 2)) # 2-D array, row vector
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# 3d array, rowish vector
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assert_equal(matdims(np.array([[[2,3]]])), (1, 1, 2))
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assert_equal(matdims(np.array([])), (0, 0)) # empty 1-D array
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assert_equal(matdims(np.array([[]])), (1, 0)) # empty 2-D array
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assert_equal(matdims(np.array([[[]]])), (1, 1, 0)) # empty 3-D array
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assert_equal(matdims(np.empty((1, 0, 1))), (1, 0, 1)) # empty 3-D array
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# Optional argument flips 1-D shape behavior.
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assert_equal(matdims(np.array([1,2]), 'row'), (1, 2)) # 1-D array, 2 elements
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# The argument has to make sense though
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assert_raises(ValueError, matdims, np.array([1,2]), 'bizarre')
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# Check empty sparse matrices get their own shape
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from scipy.sparse import csr_matrix, csc_matrix
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assert_equal(matdims(csr_matrix(np.zeros((3, 3)))), (3, 3))
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assert_equal(matdims(csc_matrix(np.zeros((2, 2)))), (2, 2))
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