Feature test stats

frouros/tests/unit/utils/test_stats.py

@@ -0,0 +1,62 @@
+"""Test stats module."""
+
+from typing import List, Union
+
+import numpy as np  # type: ignore
+import pytest  # type: ignore
+
+from frouros.utils.stats import CircularMean, Mean
+
+
+@pytest.mark.parametrize(
+    "size, values, expected_mean_steps",
+    [
+        (1, [5, 10, 6, 4, 14], [5.0, 10.0, 6.0, 4.0, 14.0]),
+        (3, [5, 10, 6, 4, 14], [5.0, 7.5, 7.0, 6.66666667, 8.0]),
+        (6, [5, 10, 6, 4, 14], [5.0, 7.5, 7, 6.25, 7.8]),
+    ],
+)
+def test_circular_mean(
+    size: int,
+    values: List[Union[int, float]],
+    expected_mean_steps: List[Union[int, float]],
+) -> None:
+    """Test circular mean.
+
+    :param size: size value
+    :type size: int
+    :param values: values
+    :type values: List[Union[int, float]]
+    :param expected_mean_steps: expected mean step values
+    :type expected_mean_steps: List[Union[int, float]]
+    """
+    mean = CircularMean(size=size)
+
+    for value, expected_mean_step in zip(values, expected_mean_steps):
+        mean.update(value=value)
+        assert np.isclose(mean.get(), expected_mean_step)
+
+
+@pytest.mark.parametrize(
+    "values, expected_mean_steps",
+    [
+        ([5, 10, 6, 4, 14], [5.0, 7.5, 7, 6.25, 7.8]),
+        ([-5, 10, -6, 4, -14], [-5.0, 2.5, -0.33333334, 0.75, -2.2]),
+    ],
+)
+def test_mean(
+    values: List[Union[int, float]],
+    expected_mean_steps: List[Union[int, float]],
+) -> None:
+    """Test mean.
+
+    :param values: values
+    :type values: List[Union[int, float]]
+    :param expected_mean_steps: expected mean step values
+    :type expected_mean_steps: List[Union[int, float]]
+    """
+    mean = Mean()
+
+    for value, expected_mean_step in zip(values, expected_mean_steps):
+        mean.update(value=value)
+        assert np.isclose(mean.get(), expected_mean_step)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "frouros"
-version = "0.2.6"
+version = "0.2.7"
 description = "A Python library for drift detection in Machine Learning problems"
 authors = [
     {name = "Jaime Céspedes Sisniega", email = "cespedes@ifca.unican.es"}