def test_random_with_replace(self):
"""Random: test random indexing with replacement"""
# situation 1: linking
index_cl1 = Random(n=1000, replace=True, random_state=100)
pairs1 = index_cl1.index((self.a, self.b))
assert len(pairs1) == 1000
assert not pairs1.is_unique
# situation 2: dedup
index_cl2 = Random(n=1000, replace=True, random_state=101)
pairs2 = index_cl2.index(self.a)
assert len(pairs2) == 1000
assert not pairs2.is_unique
def test_random_with_replace(self):
"""Random: test random indexing with replacement"""
# situation 1: linking
index_cl1 = Random(n=1000, replace=True, random_state=100)
pairs1 = index_cl1.index((self.a, self.b))
self.assertEqual(len(pairs1), 1000)
self.assertFalse(pairs1.is_unique)
# situation 2: dedup
index_cl2 = Random(n=1000, replace=True, random_state=101)
pairs2 = index_cl2.index(self.a)
self.assertEqual(len(pairs2), 1000)
self.assertFalse(pairs2.is_unique)
def test_random_seed(self):
"""Random: test seeding random algorithm"""
# TEST IDENTICAL
index_cl1 = Random(n=1000, random_state=100)
index_cl2 = Random(n=1000, random_state=100)
index_cl3 = Random(n=1000, random_state=101)
pairs1 = index_cl1.index((self.a, self.b))
pairs2 = index_cl2.index((self.a, self.b))
pairs3 = index_cl3.index((self.a, self.b))
# are pairs1 and pairs2 indentical?
ptm.assert_index_equal(pairs1, pairs2)
# are pairs1 and pairs3 not indentical? # numpy workaround
assert not np.array_equal(pairs1.values, pairs3.values)