def test_feature_fingerprints_take_into_account_full_array():
"""Tests that fingerprint isn't using summary/abbreviated array info."""
big_array = np.random.random((128, 128))
f1 = Features(big_array, FEATURE_TYPE_SENTENCE, TEXT, "RegexFeaturizer")
big_array_with_zero = np.copy(big_array)
big_array_with_zero[64, 64] = 0.0
f2 = Features(big_array_with_zero, FEATURE_TYPE_SENTENCE, TEXT, "RegexFeaturizer")
assert f1.fingerprint() != f2.fingerprint()
f1_sparse = Features(
scipy.sparse.coo_matrix(big_array),
FEATURE_TYPE_SENTENCE,
TEXT,
"RegexFeaturizer",
)
f2_sparse = Features(
scipy.sparse.coo_matrix(big_array_with_zero),
FEATURE_TYPE_SENTENCE,
TEXT,
"RegexFeaturizer",
)
assert f1_sparse.fingerprint() != f2_sparse.fingerprint()
def test_deep_container_fingerprint_can_use_instance_fingerprint():
m1 = np.asarray([[0.5, 3.1, 3.0], [1.1, 1.2, 1.3], [4.7, 0.3, 2.7]])
f = Features(m1, "sentence", "text", "CountVectorsFeaturizer")
assert rasa.shared.utils.io.deep_container_fingerprint(
f) == f.fingerprint()