test_paths.py
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"""
Ensure that we can use pathlib.Path objects in all relevant IO functions.
"""
import sys
from pathlib import Path
import numpy as np
import scipy.io
import scipy.io.wavfile
from scipy._lib._tmpdirs import tempdir
import scipy.sparse
class TestPaths:
data = np.arange(5).astype(np.int64)
def test_savemat(self):
with tempdir() as temp_dir:
path = Path(temp_dir) / 'data.mat'
scipy.io.savemat(path, {'data': self.data})
assert path.is_file()
def test_loadmat(self):
# Save data with string path, load with pathlib.Path
with tempdir() as temp_dir:
path = Path(temp_dir) / 'data.mat'
scipy.io.savemat(str(path), {'data': self.data})
mat_contents = scipy.io.loadmat(path)
assert (mat_contents['data'] == self.data).all()
def test_whosmat(self):
# Save data with string path, load with pathlib.Path
with tempdir() as temp_dir:
path = Path(temp_dir) / 'data.mat'
scipy.io.savemat(str(path), {'data': self.data})
contents = scipy.io.whosmat(path)
assert contents[0] == ('data', (1, 5), 'int64')
def test_readsav(self):
path = Path(__file__).parent / 'data/scalar_string.sav'
scipy.io.readsav(path)
def test_hb_read(self):
# Save data with string path, load with pathlib.Path
with tempdir() as temp_dir:
data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
path = Path(temp_dir) / 'data.hb'
scipy.io.harwell_boeing.hb_write(str(path), data)
data_new = scipy.io.harwell_boeing.hb_read(path)
assert (data_new != data).nnz == 0
def test_hb_write(self):
with tempdir() as temp_dir:
data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
path = Path(temp_dir) / 'data.hb'
scipy.io.harwell_boeing.hb_write(path, data)
assert path.is_file()
def test_mmio_read(self):
# Save data with string path, load with pathlib.Path
with tempdir() as temp_dir:
data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
path = Path(temp_dir) / 'data.mtx'
scipy.io.mmwrite(str(path), data)
data_new = scipy.io.mmread(path)
assert (data_new != data).nnz == 0
def test_mmio_write(self):
with tempdir() as temp_dir:
data = scipy.sparse.csr_matrix(scipy.sparse.eye(3))
path = Path(temp_dir) / 'data.mtx'
scipy.io.mmwrite(path, data)
def test_netcdf_file(self):
path = Path(__file__).parent / 'data/example_1.nc'
scipy.io.netcdf.netcdf_file(path)
def test_wavfile_read(self):
path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
scipy.io.wavfile.read(path)
def test_wavfile_write(self):
# Read from str path, write to Path
input_path = Path(__file__).parent / 'data/test-8000Hz-le-2ch-1byteu.wav'
rate, data = scipy.io.wavfile.read(str(input_path))
with tempdir() as temp_dir:
output_path = Path(temp_dir) / input_path.name
scipy.io.wavfile.write(output_path, rate, data)