def test_single_sorting_key(self):
"""SNI: Test class arguments."""
# all the following cases return in the same index.
# situation 1
index_cl1 = SortedNeighbourhood('var_arange')
pairs1 = index_cl1.index((self.a, self.b))
# situation 2
index_cl2 = SortedNeighbourhood(on='var_arange')
pairs2 = index_cl2.index((self.a, self.b))
# situation 3
index_cl3 = SortedNeighbourhood(left_on='var_arange',
right_on='var_arange')
pairs3 = index_cl3.index((self.a, self.b))
# situation 4
index_cl4 = SortedNeighbourhood(on=['var_arange'])
pairs4 = index_cl4.index((self.a, self.b))
# situation 5
index_cl5 = SortedNeighbourhood(left_on=['var_arange'],
right_on=['var_arange'])
pairs5 = index_cl5.index((self.a, self.b))
# test
ptm.assert_index_equal(pairs1, pairs2)
ptm.assert_index_equal(pairs1, pairs3)
ptm.assert_index_equal(pairs1, pairs4)
ptm.assert_index_equal(pairs1, pairs5)
def test_depr_on_argument(self):
index_cl_new = SortedNeighbourhood('var_arange')
pairs_new = index_cl_new.index(self.a)
index_cl_old = SortedNeighbourhood(on='var_arange')
pairs_old = index_cl_old.index(self.a)
ptm.assert_index_equal(pairs_new, pairs_old)
def test_depr_on_argument(self):
index_cl_new = SortedNeighbourhood('var_arange')
pairs_new = index_cl_new.index(self.a)
with pytest.deprecated_call():
index_cl_old = SortedNeighbourhood(on='var_arange')
pairs_old = index_cl_old.index(self.a)
pdt.assert_index_equal(pairs_new, pairs_old)
def test_sni_with_blocking_link(self):
"""SNI: Test sni with blocking keys."""
# sni
index_class = SortedNeighbourhood(
'var_arange', window=3, block_on='var_arange')
pairs = index_class.index((self.a, self.b[0:len(self.a)]))
# the length of pairs is length(self.a)
assert len(pairs) == len(self.a)
def test_sni_with_blocking_dedup(self):
"""SNI: Test sni with blocking keys."""
# sni
index_class = SortedNeighbourhood(
'var_arange', window=3, block_on='var_arange')
pairs = index_class.index(self.a)
print(pairs.values)
# the length of pairs is 0
assert len(pairs) == 0
def test_sni_algorithm_dedup(self, window):
"""SNI: Test the window size (dedup)."""
# window = 7 # using paramereized tests instead
index_class = SortedNeighbourhood(on='var_arange', window=window)
pairs = index_class.index((self.a))
# the expected number of pairs
window_d = (window - 1) / 2
len_a = len(self.a)
n_pairs_expected = \
np.sum(np.arange(len_a - 1, len_a - (window_d + 1), -1))
# test
assert len(pairs) == n_pairs_expected
def test_sni_algorithm_link(self, window):
"""SNI: Test the window size (link)."""
# window = 7 # using paramereized tests instead
index_class = SortedNeighbourhood(on='var_arange', window=window)
pairs = index_class.index((self.a, self.b[0:len(self.a)]))
# the expected number of pairs
window_d = (window - 1) / 2
len_a = len(self.a)
n_pairs_expected = \
len(self.a) + \
2 * np.sum(np.arange(len_a - 1, len_a - (window_d + 1), -1))
# test
print('expected number of pairs: %s' % n_pairs_expected)
print('number of pairs found: %s' % len(pairs))
assert len(pairs) == n_pairs_expected
