def test_scores_improve(content, style):
"""Scores must be one if inputs only vary on one dimension.
"""
matcher = FeatureMatcher(content, style)
matcher.compare_features_identity()
before = matcher.repro_target.scores.sum()
matcher.compare_features_random(times=1)
after = matcher.repro_target.scores.sum()
event("equal? %i" % int(after == before))
assert after >= before
def test_compare_inverse_symmetrical(array):
"""Check that doing the identity comparison also projects the inverse
coordinates into the other buffer.
"""
matcher = FeatureMatcher(array, array)
matcher.repro_target.from_linear(array.shape)
matcher.repro_sources.indices.zero_()
matcher.compare_features_identity()
matcher.compare_features_inverse(split=1)
assert (matcher.repro_target.indices !=
matcher.repro_sources.indices).sum() == 0
matcher.repro_target.indices.zero_()
matcher.repro_target.scores.fill_(float("-inf"))
matcher.compare_features_identity()
matcher.compare_features_inverse(split=1)
assert (matcher.repro_target.indices !=
matcher.repro_sources.indices).sum() == 0
def test_compare_inverse_asymmetrical(content, style):
"""Check that doing the identity comparison also projects the inverse
coordinates into the other buffer.
"""
# Set corner pixel as identical, so it matches 100%.
content[:, :, -1, -1] = style[:, :, -1, -1]
matcher = FeatureMatcher(content, style)
matcher.repro_target.from_linear(style.shape)
matcher.repro_sources.indices.zero_()
matcher.compare_features_identity()
matcher.compare_features_inverse(split=2)
assert matcher.repro_sources.indices.max() > 0
matcher.repro_sources.from_linear(content.shape)
matcher.repro_target.indices.zero_()
matcher.repro_target.scores.zero_()
matcher.compare_features_identity()
matcher.compare_features_inverse(split=2)
assert matcher.repro_target.indices.max() > 0