|
| 1 | +"""Test stats module.""" |
| 2 | + |
| 3 | +from typing import List, Union |
| 4 | + |
| 5 | +import numpy as np # type: ignore |
| 6 | +import pytest # type: ignore |
| 7 | + |
| 8 | +from frouros.utils.stats import CircularMean, Mean |
| 9 | + |
| 10 | + |
| 11 | +@pytest.mark.parametrize( |
| 12 | + "size, values, expected_mean_steps", |
| 13 | + [ |
| 14 | + (1, [5, 10, 6, 4, 14], [5.0, 10.0, 6.0, 4.0, 14.0]), |
| 15 | + (3, [5, 10, 6, 4, 14], [5.0, 7.5, 7.0, 6.66666667, 8.0]), |
| 16 | + (6, [5, 10, 6, 4, 14], [5.0, 7.5, 7, 6.25, 7.8]), |
| 17 | + ], |
| 18 | +) |
| 19 | +def test_circular_mean( |
| 20 | + size: int, |
| 21 | + values: List[Union[int, float]], |
| 22 | + expected_mean_steps: List[Union[int, float]], |
| 23 | +) -> None: |
| 24 | + """Test circular mean. |
| 25 | +
|
| 26 | + :param size: size value |
| 27 | + :type size: int |
| 28 | + :param values: values |
| 29 | + :type values: List[Union[int, float]] |
| 30 | + :param expected_mean_steps: expected mean step values |
| 31 | + :type expected_mean_steps: List[Union[int, float]] |
| 32 | + """ |
| 33 | + mean = CircularMean(size=size) |
| 34 | + |
| 35 | + for value, expected_mean_step in zip(values, expected_mean_steps): |
| 36 | + mean.update(value=value) |
| 37 | + assert np.isclose(mean.get(), expected_mean_step) |
| 38 | + |
| 39 | + |
| 40 | +@pytest.mark.parametrize( |
| 41 | + "values, expected_mean_steps", |
| 42 | + [ |
| 43 | + ([5, 10, 6, 4, 14], [5.0, 7.5, 7, 6.25, 7.8]), |
| 44 | + ([-5, 10, -6, 4, -14], [-5.0, 2.5, -0.33333334, 0.75, -2.2]), |
| 45 | + ], |
| 46 | +) |
| 47 | +def test_mean( |
| 48 | + values: List[Union[int, float]], |
| 49 | + expected_mean_steps: List[Union[int, float]], |
| 50 | +) -> None: |
| 51 | + """Test mean. |
| 52 | +
|
| 53 | + :param values: values |
| 54 | + :type values: List[Union[int, float]] |
| 55 | + :param expected_mean_steps: expected mean step values |
| 56 | + :type expected_mean_steps: List[Union[int, float]] |
| 57 | + """ |
| 58 | + mean = Mean() |
| 59 | + |
| 60 | + for value, expected_mean_step in zip(values, expected_mean_steps): |
| 61 | + mean.update(value=value) |
| 62 | + assert np.isclose(mean.get(), expected_mean_step) |
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