Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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95 lines
3.2 KiB
95 lines
3.2 KiB
4 years ago
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"""
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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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from pathlib import Path
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import numpy as np
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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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class TestPaths:
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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_mmio_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.mtx'
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scipy.io.mmwrite(str(path), data)
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data_new = scipy.io.mmread(path)
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assert (data_new != data).nnz == 0
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def test_mmio_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.mtx'
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scipy.io.mmwrite(path, data)
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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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