<filename>tests/test_metrics.py
import numpy as np
import pandas as pd
from unittest import mock
from vmpy import metrics


@mock.patch('vmpy.metrics.rolling_mean')
def test_best_interval(test_rolling_mean):

    stream = [1,1,1,1,1]
    test_rolling_mean.return_value = stream

    assert metrics.best_interval(stream, 5) == 1


@mock.patch('vmpy.streams.compute_zones')
def test_time_in_zones(zones):

    power = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5, 10.0]
    zones.return_value = [1,2,3,4,5,6,7]

    rv = metrics.time_in_zones(power, ftp=1.0)
    expected = [1, 1, 1, 1, 1, 1, 1]

    assert type(rv) == list
    assert rv == expected


def test_normalized_power():

    stream = np.ones(30)
    moving = np.ones(30, dtype=bool)

    assert metrics.normalized_power(stream, moving) == 1

def test_normalized_power_xpower():

    stream = np.ones(30)
    moving = np.ones(30, dtype=bool)

    assert metrics.normalized_power(stream, moving, type='xPower') == 1


def test_relative_intensity():

    norm_power = 300.0
    threshold_power = 300.0

    assert metrics.relative_intensity(norm_power, threshold_power) == 1.0


def test_stress_score():

    norm_power = 300.0
    threshold_power = 300.0
    duration = 3600

    assert metrics.stress_score(norm_power, threshold_power, duration) == 100.0




def test_power_duration_curve():

    power = np.arange(101)
    rv = metrics.power_duration_curve(power)

    assert type(power) == np.ndarray
    assert rv[0] == 100.0
    assert rv[49] == 75.5
    assert rv[-1] == 50.5

def test_power_duration_curve_list():

    stream = [0, 0, 0]
    expected = [0, 0]

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == list
    assert rv == expected


def test_power_duration_curve_ndarray():

    stream = np.zeros(3)
    expected = np.zeros(2)

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == np.ndarray
    assert (rv == expected).all()


def test_power_duration_curve_series():

    stream = pd.Series(np.zeros(3))
    expected = pd.Series(np.zeros(2))

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == pd.Series
    assert (rv == expected).all()
<filename>tests/test_metrics.py
import numpy as np
import pandas as pd
from unittest import mock
from vmpy import metrics


@mock.patch('vmpy.metrics.rolling_mean')
def test_best_interval(test_rolling_mean):

    stream = [1,1,1,1,1]
    test_rolling_mean.return_value = stream

    assert metrics.best_interval(stream, 5) == 1


@mock.patch('vmpy.streams.compute_zones')
def test_time_in_zones(zones):

    power = [0.55, 0.75, 0.9, 1.05, 1.2, 1.5, 10.0]
    zones.return_value = [1,2,3,4,5,6,7]

    rv = metrics.time_in_zones(power, ftp=1.0)
    expected = [1, 1, 1, 1, 1, 1, 1]

    assert type(rv) == list
    assert rv == expected


def test_normalized_power():

    stream = np.ones(30)
    moving = np.ones(30, dtype=bool)

    assert metrics.normalized_power(stream, moving) == 1

def test_normalized_power_xpower():

    stream = np.ones(30)
    moving = np.ones(30, dtype=bool)

    assert metrics.normalized_power(stream, moving, type='xPower') == 1


def test_relative_intensity():

    norm_power = 300.0
    threshold_power = 300.0

    assert metrics.relative_intensity(norm_power, threshold_power) == 1.0


def test_stress_score():

    norm_power = 300.0
    threshold_power = 300.0
    duration = 3600

    assert metrics.stress_score(norm_power, threshold_power, duration) == 100.0




def test_power_duration_curve():

    power = np.arange(101)
    rv = metrics.power_duration_curve(power)

    assert type(power) == np.ndarray
    assert rv[0] == 100.0
    assert rv[49] == 75.5
    assert rv[-1] == 50.5

def test_power_duration_curve_list():

    stream = [0, 0, 0]
    expected = [0, 0]

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == list
    assert rv == expected


def test_power_duration_curve_ndarray():

    stream = np.zeros(3)
    expected = np.zeros(2)

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == np.ndarray
    assert (rv == expected).all()


def test_power_duration_curve_series():

    stream = pd.Series(np.zeros(3))
    expected = pd.Series(np.zeros(2))

    rv = metrics.power_duration_curve(stream)

    assert type(rv) == pd.Series
    assert (rv == expected).all()