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from gudhi.point_cloud.timedelay import TimeDelayEmbedding
import numpy as np
def test_normal():
# Sample array
ts = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
# Normal case.
prep = TimeDelayEmbedding()
pointclouds = prep(ts)
assert (pointclouds[0] == np.array([1, 2, 3])).all()
assert (pointclouds[1] == np.array([2, 3, 4])).all()
assert (pointclouds[2] == np.array([3, 4, 5])).all()
assert (pointclouds[3] == np.array([4, 5, 6])).all()
assert (pointclouds[4] == np.array([5, 6, 7])).all()
assert (pointclouds[5] == np.array([6, 7, 8])).all()
assert (pointclouds[6] == np.array([7, 8, 9])).all()
assert (pointclouds[7] == np.array([8, 9, 10])).all()
# Delay = 3
prep = TimeDelayEmbedding(delay=3)
pointclouds = prep(ts)
assert (pointclouds[0] == np.array([1, 4, 7])).all()
assert (pointclouds[1] == np.array([2, 5, 8])).all()
assert (pointclouds[2] == np.array([3, 6, 9])).all()
assert (pointclouds[3] == np.array([4, 7, 10])).all()
# Skip = 3
prep = TimeDelayEmbedding(skip=3)
pointclouds = prep(ts)
assert (pointclouds[0] == np.array([1, 2, 3])).all()
assert (pointclouds[1] == np.array([4, 5, 6])).all()
assert (pointclouds[2] == np.array([7, 8, 9])).all()
# Delay = 2 / Skip = 2
prep = TimeDelayEmbedding(delay=2, skip=2)
pointclouds = prep(ts)
assert (pointclouds[0] == np.array([1, 3, 5])).all()
assert (pointclouds[1] == np.array([3, 5, 7])).all()
assert (pointclouds[2] == np.array([5, 7, 9])).all()
# Vector series
ts = np.arange(0, 10).reshape(-1, 2)
prep = TimeDelayEmbedding(dim=4)
prep.fit([ts])
assert (prep.transform([ts])[0] == [[0, 1, 2, 3], [2, 3, 4, 5], [4, 5, 6, 7], [6, 7, 8, 9]]).all()
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