def test_custom_normalization(self):
strategy = Algorithm()
weights = pd.Series([0.25, 0.25, 0.0])
result = strategy.custom_normalize(weights)
expected = pd.Series([0.5, 0.5, 0.0])
self.assert_list(result, expected, 3)
weights = pd.Series([0.25, 0.25, -0.25])
result = strategy.custom_normalize(weights)
expected = pd.Series([0.5, 0.5, -0.5])
self.assert_list(result, expected, 3)
weights = pd.Series([-0.25, -0.25, 0.25])
result = strategy.custom_normalize(weights)
expected = pd.Series([0.0, 0.0, 0.0])
self.assert_list(result, expected, 3)
weights = pd.Series([-0.25, -0.25, 0.0])
result = strategy.custom_normalize(weights)
expected = pd.Series([0.0, 0.0, -0.0])
self.assert_list(result, expected, 3)
weights = pd.Series([0.0, 0.0, 0.0])
result = strategy.custom_normalize(weights)
expected = pd.Series([0.0, 0.0, -0.0])
self.assert_list(result, expected, 3)
