def _make_pattern(self, base_sample):
base_sample_weight = self._samples.pop(base_sample)
base_weight = self.conf.INCUBATOR_NEW_PATTERN_IMPULSE_WEIGHT
# find similar samples
similar_samples = {}
for sample, sample_weight in dict(self._samples).items():
activity = similarity(base_sample, sample)
if activity >= self.conf.INCUBATOR_NEW_PATTERN_SIMILAR_SAMPLES_ACTIVITY:
similar_samples[sample] = sample_weight
del self._samples[sample]
# create pattern from base sample
pattern = Matrix.create(self.conf.UNIT_INPUT_HEIGHT, self.conf.UNIT_INPUT_WIDTH)
for y, impulse in enumerate(base_sample):
if impulse is not None:
pattern.set(y, impulse, base_weight)
# add similar samples to pattern
for sample, sample_weight in similar_samples.items():
adding_weight = sample_weight / base_sample_weight * base_weight
for y, impulse in enumerate(sample):
if impulse is not None:
new_weight = braking_add(pattern.get(y, impulse), adding_weight)
pattern.set(y, impulse, new_weight)
return pattern
def test_similarity():
sim = similarity(
[1, 1],
[1, 1],
)
assert 0.9999 < sim <= 1.0, 'equal lists'
sim = similarity(
[1, 1],
[0, 0],
)
assert 0.0 <= sim < 0.00001, 'max difference'
sim = similarity(
[1, 1],
[2, 1],
)
assert 0.49 < sim < 0.51