88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
"""
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Ensure that we can use pathlib.Path objects in all relevant IO functions.
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"""
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import sys
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try:
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from pathlib import Path
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except ImportError:
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# Not available. No fallback import, since we'll skip the entire
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# test suite for Python < 3.6.
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pass
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import numpy as np
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from numpy.testing import assert_
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import pytest
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import scipy.io
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import scipy.io.wavfile
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from scipy._lib._tmpdirs import tempdir
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import scipy.sparse
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@pytest.mark.skipif(sys.version_info < (3, 6),
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reason='Passing path-like objects to IO functions requires Python >= 3.6')
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class TestPaths(object):
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data = np.arange(5).astype(np.int64)
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def test_savemat(self):
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with tempdir() as temp_dir:
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path = Path(temp_dir) / 'data.mat'
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scipy.io.savemat(path, {'data': self.data})
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assert_(path.is_file())
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def test_loadmat(self):
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# Save data with string path, load with pathlib.Path
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with tempdir() as temp_dir:
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path = Path(temp_dir) / 'data.mat'
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scipy.io.savemat(str(path), {'data': self.data})
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mat_contents = scipy.io.loadmat(path)
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assert_((mat_contents['data'] == self.data).all())
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def test_whosmat(self):
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# Save data with string path, load with pathlib.Path
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with tempdir() as temp_dir:
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path = Path(temp_dir) / 'data.mat'
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scipy.io.savemat(str(path), {'data': self.data})
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contents = scipy.io.whosmat(path)
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assert_(contents[0] == ('data', (1, 5), 'int64'))
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def test_readsav(self):
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path = Path(__file__).parent / 'data/scalar_string.sav'
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scipy.io.readsav(path)
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def test_hb_read(self):
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# Save data with string path, load with pathlib.Path
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with tempdir() as temp_dir:
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data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
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path = Path(temp_dir) / 'data.hb'
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scipy.io.harwell_boeing.hb_write(str(path), data)
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data_new = scipy.io.harwell_boeing.hb_read(path)
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assert_((data_new != data).nnz == 0)
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def test_hb_write(self):
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with tempdir() as temp_dir:
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data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
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path = Path(temp_dir) / 'data.hb'
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scipy.io.harwell_boeing.hb_write(path, data)
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assert_(path.is_file())
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def test_netcdf_file(self):
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path = Path(__file__).parent / 'data/example_1.nc'
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scipy.io.netcdf.netcdf_file(path)
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def test_wavfile_read(self):
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path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
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scipy.io.wavfile.read(path)
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def test_wavfile_write(self):
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# Read from str path, write to Path
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input_path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
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rate, data = scipy.io.wavfile.read(str(input_path))
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with tempdir() as temp_dir:
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output_path = Path(temp_dir) / input_path.name
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scipy.io.wavfile.write(output_path, rate, data)
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