def test_distance1():
with util_numpy.test_uses_numpy() as np:
directory = prepare_directory()
s1 = np.array([0., 0, 1, 2, 1, 0, 1, 0, 0, 2, 1, 0, 0])
s2 = np.array([0., 1, 2, 3, 1, 10, 1, 0, 2, 1, 0, 0, 0])
d, paths = dtw.warping_paths(s1, s2)
# print(d, "\n", paths)
if not dtwvis.test_without_visualization():
dtwvis.plot_warpingpaths(s1,
s2,
paths,
filename=directory / "temp1.png")
weights = np.full((len(s1), 8), np.inf)
weights[:, 2:4] = 0.0
weights[4:7, 2:4] = 10.0
weights[:, 4:6] = 0.0
weights[4:7, 4:6] = 10.0
d, paths = dtww.warping_paths(s1, s2, weights)
# print(d, "\n", paths)
if not dtwvis.test_without_visualization():
dtwvis.plot_warpingpaths(s1,
s2,
paths,
filename=directory / "temp2.png")
def test_distance1():
directory = prepare_directory()
s1 = np.array([0., 0, 1, 2, 1, 0, 1, 0, 0, 2, 1, 0, 0])
s2 = np.array([0., 1, 2, 3, 1, 10, 1, 0, 2, 1, 0, 0, 0])
d, paths = dtw.warping_paths(s1, s2)
# print(d, "\n", paths)
dtwvis.plot_warpingpaths(s1, s2, paths, filename=directory / "temp1.png")
weights = np.full((len(s1), 8), np.inf)
weights[:, 2:4] = 0.0
weights[4:7, 2:4] = 10.0
weights[:, 4:6] = 0.0
weights[4:7, 4:6] = 10.0
d, paths = dtww.warping_paths(s1, s2, weights)
# print(d, "\n", paths)
dtwvis.plot_warpingpaths(s1, s2, paths, filename=directory / "temp2.png")
def test_distance3():
s = np.array([[0., 0, 1, 2, 1, 0, 1.3, 0, 0], [0., 1, 2, 0, 0, 0, 0, 0,
0]])
w = np.array([[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 1.1, 1., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 1.1, 1., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 2., 2.2, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 1., 1.1, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 1.3, 1.43, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf]])
d, paths = dtww.warping_paths(s[0], s[1], w, window=0)
path = dtw.best_path(paths)
if directory:
wp_fn = directory / "warping_paths.png"
dtwvis.plot_warpingpaths(s[0], s[1], paths, path, filename=wp_fn)
def test_distance3():
with util_numpy.test_uses_numpy() as np:
s = np.array([[0., 0, 1, 2, 1, 0, 1.3, 0, 0],
[0., 1, 2, 0, 0, 0, 0, 0, 0]])
w = np.array([[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 1.1, 1., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 1.1, 1., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 2., 2.2, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 1., 1.1, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 1.3, 1.43, np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf],
[np.inf, np.inf, 0., 0., 0., 0., np.inf, np.inf]])
d, paths = dtww.warping_paths(s[0], s[1], w, window=0)
path = dtw.best_path(paths)
if not dtwvis.test_without_visualization():
if directory:
wp_fn = directory / "warping_paths.png"
dtwvis.plot_warpingpaths(s[0],
s[1],
paths,
path,
filename=wp_fn)