def test_actual_results_dtw_sakoechiba(params, res_desired):
"""Test that the actual results are the expected ones."""
(dtw_actual, cost_mat_actual, acc_cost_mat_actual,
path_actual) = dtw_sakoechiba(x, y, **params_return, **params)
np.testing.assert_allclose(cost_mat_actual, res_desired['cost_mat'])
np.testing.assert_allclose(dtw_actual, res_desired['dtw'])
np.testing.assert_allclose(path_actual, res_desired['path'])
np.testing.assert_allclose(acc_cost_mat_actual,
res_desired['acc_cost_mat'])
'params, err_msg',
[({'method': 'loop'},
"'method' must be either 'classic', 'sakoechiba', 'itakura', "
"'multiscale' or 'fast'.")]
)
def test_parameter_check_dtw(params, err_msg):
"""Test parameter validation."""
with pytest.raises(ValueError, match=re.escape(err_msg)):
dtw(x, y, **params)
@pytest.mark.parametrize(
'params, res_desired',
[({}, dtw_classic(x, y, **params_return)),
({'method': 'sakoechiba'}, dtw_sakoechiba(x, y, **params_return)),
({'method': 'sakoechiba', 'options': {'window_size': 0.5}},
dtw_sakoechiba(x, y, **params_return)),
({'method': 'itakura'}, dtw_itakura(x, y, **params_return)),
({'method': 'itakura', 'options': {'max_slope': 8}},
dtw_itakura(x, y, max_slope=8, **params_return)),
({'method': 'multiscale'}, dtw_multiscale(x, y, **params_return)),
({'method': 'multiscale', 'options': {'resolution': 1}},
dtw_multiscale(x, y, resolution=1, **params_return)),
({'method': 'multiscale', 'options': {'radius': 2}},
@pytest.mark.parametrize('params, err_msg', [({
'method': 'loop'
}, "'method' must be either 'classic', 'sakoechiba', 'itakura', "
"'multiscale' or 'fast'.")])
def test_parameter_check_dtw(params, err_msg):
"""Test parameter validation."""
with pytest.raises(ValueError, match=re.escape(err_msg)):
dtw(x, y, **params)
@pytest.mark.parametrize(
'params, res_desired',
[({}, dtw_classic(x, y, **params_return)),
({
'method': 'sakoechiba'
}, dtw_sakoechiba(x, y, **params_return)),
({
'method': 'sakoechiba',
'options': {
'window_size': 2
}
}, dtw_sakoechiba(x, y, window_size=2, **params_return)),
({
'method': 'itakura'
}, dtw_itakura(x, y, **params_return)),
({
'method': 'itakura',
'options': {
'max_slope': 8
}
}, dtw_itakura(x, y, max_slope=8, **params_return)),
@pytest.mark.parametrize('params, err_msg', [({
'method': 'loop'
}, "'method' must be either 'classic', 'sakoechiba', 'itakura', "
"'multiscale' or 'fast'.")])
def test_parameter_check_dtw(params, err_msg):
"""Test parameter validation."""
with pytest.raises(ValueError, match=re.escape(err_msg)):
dtw(x, y, **params)
@pytest.mark.parametrize(
'params, res_desired',
[({}, dtw_classic(x, y, **params_return)),
({
'method': 'sakoechiba'
}, dtw_sakoechiba(x, y, **params_return)),
({
'method': 'sakoechiba',
'options': {
'window_size': 0.5
}
}, dtw_sakoechiba(x, y, **params_return)),
({
'method': 'itakura'
}, dtw_itakura(x, y, **params_return)),
({
'method': 'itakura',
'options': {
'max_slope': 8
}
}, dtw_itakura(x, y, max_slope=8, **params_return)),