def test_russellrao(self):
reference = cdist(self.Xb1, self.Xb2, metric='russellrao')
testing = fast_cdist(self.Xb1, self.Xb2, metric='russellrao')
eq(reference, testing)
def test_sokalsneath(self):
reference = cdist(self.Xb1, self.Xb2, metric='sokalsneath')
testing = fast_cdist(self.Xb1, self.Xb2, metric='sokalsneath')
eq(reference, testing)
def test_mahalanobis_2(self):
VI = np.random.randn(self.Xd1.shape[0], self.Xd1.shape[0])
reference = cdist(self.Xd1, self.Xd2, metric='mahalanobis', VI=VI)
testing = fast_cdist(self.Xd1, self.Xd2, metric='mahalanobis', VI=VI)
npt.assert_array_equal(reference, testing)
def test_dice(self):
reference = cdist(self.Xb1, self.Xb2, metric='dice')
testing = fast_cdist(self.Xb1, self.Xb2, metric='dice')
eq(reference, testing)
def test_canberra(self):
reference = cdist(self.Xd1, self.Xd2, metric='canberra')
testing = fast_cdist(self.Xd1, self.Xd2, metric='canberra')
npt.assert_array_equal(reference, testing)
def test_dice(self):
reference = cdist(self.Xb1, self.Xb2, metric='dice')
testing = fast_cdist(self.Xb1, self.Xb2, metric='dice')
npt.assert_array_equal(reference, testing)
def test_hamming_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='hamming')
testing = fast_cdist(self.Xb1, self.Xb2, metric='hamming')
npt.assert_array_equal(reference, testing)
def test_sqeuclidean(self):
reference = cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
testing = fast_cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
npt.assert_array_equal(reference, testing)
def test_sqeuclidean(self):
reference = cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
testing = fast_cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
npt.assert_array_equal(reference, testing)
def test_chebychev(self):
reference = cdist(self.Xd1, self.Xd2, metric='chebychev')
testing = fast_cdist(self.Xd1, self.Xd2, metric='chebychev')
npt.assert_array_equal(reference, testing)
def test_correlation(self):
reference = cdist(self.Xd1, self.Xd2, metric='correlation')
testing = fast_cdist(self.Xd1, self.Xd2, metric='correlation')
npt.assert_array_equal(reference, testing)
def test_cityblock(self):
reference = cdist(self.Xd1, self.Xd2, metric='cityblock')
testing = fast_cdist(self.Xd1, self.Xd2, metric='cityblock')
npt.assert_array_equal(reference, testing)
def test_minkowski(self):
p = np.random.randint(10)
reference = cdist(self.Xd1, self.Xd2, metric='minkowski', p=p)
testing = fast_cdist(self.Xd1, self.Xd2, metric='minkowski', p=p)
npt.assert_array_equal(reference, testing)
def test_mahalanobis_2(self):
VI = np.random.randn(self.Xd1.shape[0], self.Xd1.shape[0])
reference = cdist(self.Xd1, self.Xd2, metric='mahalanobis', VI=VI)
testing = fast_cdist(self.Xd1, self.Xd2, metric='mahalanobis', VI=VI)
npt.assert_array_equal(reference, testing)
def test_jaccard_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='jaccard')
testing = fast_cdist(self.Xb1, self.Xb2, metric='jaccard')
npt.assert_array_equal(reference, testing)
def test_cityblock(self):
reference = cdist(self.Xd1, self.Xd2, metric='cityblock')
testing = fast_cdist(self.Xd1, self.Xd2, metric='cityblock')
npt.assert_array_equal(reference, testing)
def test_canberra(self):
reference = cdist(self.Xd1, self.Xd2, metric='canberra')
testing = fast_cdist(self.Xd1, self.Xd2, metric='canberra')
npt.assert_array_equal(reference, testing)
def test_hamming_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='hamming')
testing = fast_cdist(self.Xb1, self.Xb2, metric='hamming')
npt.assert_array_equal(reference, testing)
def test_braycurtis(self):
reference = cdist(self.Xd1, self.Xd2, metric='braycurtis')
testing = fast_cdist(self.Xd1, self.Xd2, metric='braycurtis')
npt.assert_array_equal(reference, testing)
def test_matching(self):
reference = cdist(self.Xb1, self.Xb2, metric='matching')
testing = fast_cdist(self.Xb1, self.Xb2, metric='matching')
npt.assert_array_equal(reference, testing)
def test_matching(self):
reference = cdist(self.Xb1, self.Xb2, metric='matching')
testing = fast_cdist(self.Xb1, self.Xb2, metric='matching')
npt.assert_array_equal(reference, testing)
def test_russellrao(self):
reference = cdist(self.Xb1, self.Xb2, metric='russellrao')
testing = fast_cdist(self.Xb1, self.Xb2, metric='russellrao')
npt.assert_array_equal(reference, testing)
def test_kulsinski(self):
reference = cdist(self.Xb1, self.Xb2, metric='kulsinski')
testing = fast_cdist(self.Xb1, self.Xb2, metric='kulsinski')
npt.assert_array_equal(reference, testing)
def test_kulsinski(self):
reference = cdist(self.Xb1, self.Xb2, metric='kulsinski')
testing = fast_cdist(self.Xb1, self.Xb2, metric='kulsinski')
eq(reference, testing)
def test_dice(self):
reference = cdist(self.Xb1, self.Xb2, metric='dice')
testing = fast_cdist(self.Xb1, self.Xb2, metric='dice')
npt.assert_array_equal(reference, testing)
def test_rogerstanimoto(self):
reference = cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
testing = fast_cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
eq(reference, testing)
def test_rogerstanimoto(self):
reference = cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
testing = fast_cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
npt.assert_array_equal(reference, testing)
def test_sokalmichener(self):
reference = cdist(self.Xb1, self.Xb2, metric='sokalmichener')
testing = fast_cdist(self.Xb1, self.Xb2, metric='sokalmichener')
eq(reference, testing)
def test_russellrao(self):
reference = cdist(self.Xb1, self.Xb2, metric='russellrao')
testing = fast_cdist(self.Xb1, self.Xb2, metric='russellrao')
npt.assert_array_equal(reference, testing)
def test_seuclidean_2(self):
V = np.random.randn(self.Xd1.shape[1])
reference = cdist(self.Xd1, self.Xd2, metric='seuclidean', V=V)
testing = fast_cdist(self.Xd1, self.Xd2, metric='seuclidean', V=V)
npt.assert_array_equal(reference, testing)
def test_sokalsneath(self):
reference = cdist(self.Xb1, self.Xb2, metric='sokalsneath')
testing = fast_cdist(self.Xb1, self.Xb2, metric='sokalsneath')
npt.assert_array_equal(reference, testing)
def test_minkowski(self):
p = np.random.randint(10)
reference = cdist(self.Xd1, self.Xd2, metric='minkowski', p=p)
testing = fast_cdist(self.Xd1, self.Xd2, metric='minkowski', p=p)
npt.assert_array_equal(reference, testing)
def test_sqeuclidean(self):
reference = cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
testing = fast_cdist(self.Xd1, self.Xd2, metric='sqeuclidean')
eq(reference, testing)
def test_correlation(self):
reference = cdist(self.Xd1, self.Xd2, metric='correlation')
testing = fast_cdist(self.Xd1, self.Xd2, metric='correlation')
npt.assert_array_equal(reference, testing)
def test_chebychev(self):
reference = cdist(self.Xd1, self.Xd2, metric='chebychev')
testing = fast_cdist(self.Xd1, self.Xd2, metric='chebychev')
eq(reference, testing)
def test_chebychev(self):
reference = cdist(self.Xd1, self.Xd2, metric='chebychev')
testing = fast_cdist(self.Xd1, self.Xd2, metric='chebychev')
npt.assert_array_equal(reference, testing)
def test_hamming_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='hamming')
testing = fast_cdist(self.Xb1, self.Xb2, metric='hamming')
eq(reference, testing)
def test_jaccard_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='jaccard')
testing = fast_cdist(self.Xb1, self.Xb2, metric='jaccard')
npt.assert_array_equal(reference, testing)
def test_jaccard_2(self):
reference = cdist(self.Xb1, self.Xb2, metric='jaccard')
testing = fast_cdist(self.Xb1, self.Xb2, metric='jaccard')
eq(reference, testing)
def test_braycurtis(self):
reference = cdist(self.Xd1, self.Xd2, metric='braycurtis')
testing = fast_cdist(self.Xd1, self.Xd2, metric='braycurtis')
npt.assert_array_equal(reference, testing)
def test_canberra(self):
reference = cdist(self.Xd1, self.Xd2, metric='canberra')
testing = fast_cdist(self.Xd1, self.Xd2, metric='canberra')
eq(reference, testing)
def test_kulsinski(self):
reference = cdist(self.Xb1, self.Xb2, metric='kulsinski')
testing = fast_cdist(self.Xb1, self.Xb2, metric='kulsinski')
npt.assert_array_equal(reference, testing)
def test_braycurtis(self):
reference = cdist(self.Xd1, self.Xd2, metric='braycurtis')
testing = fast_cdist(self.Xd1, self.Xd2, metric='braycurtis')
eq(reference, testing)
def test_rogerstanimoto(self):
reference = cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
testing = fast_cdist(self.Xb1, self.Xb2, metric='rogerstanimoto')
npt.assert_array_equal(reference, testing)
def test_matching(self):
reference = cdist(self.Xb1, self.Xb2, metric='matching')
testing = fast_cdist(self.Xb1, self.Xb2, metric='matching')
eq(reference, testing)
def test_sokalsneath(self):
reference = cdist(self.Xb1, self.Xb2, metric='sokalsneath')
testing = fast_cdist(self.Xb1, self.Xb2, metric='sokalsneath')
npt.assert_array_equal(reference, testing)
def test_seuclidean_2(self):
V = np.random.randn(self.Xd1.shape[1])
reference = cdist(self.Xd1, self.Xd2, metric='seuclidean', V=V)
testing = fast_cdist(self.Xd1, self.Xd2, metric='seuclidean', V=V)
npt.assert_array_equal(reference, testing)
