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_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)
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)
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_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_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_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_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_tempdir():
with tempdir() as tmpdir:
fname = pjoin(tmpdir, 'example_file.txt')
with open(fname, 'wt') as fobj:
fobj.write('a string\\n')
assert_(not exists(tmpdir))
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_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_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_tempdir():
with tempdir() as tmpdir:
fname = pjoin(tmpdir, 'example_file.txt')
with open(fname, 'wt') as fobj:
fobj.write('a string\\n')
assert_(not exists(tmpdir))
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_savemat(self):
with tempdir() as temp_dir:
path = Path(temp_dir) / 'data.mat'
scipy.io.savemat(path, {'data': self.data})
assert_(path.is_file())
