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"""This module tests the calculation functions.""" |
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import numpy as np |
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import pandas as pd |
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from voltcycle import calculations |
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5
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6
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7
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def test_peak_values(): |
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8
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"""This function tests peak_values() function.""" |
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9
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potentials = [0.500, 0.499, 0.498, 0.497] |
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10
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currents = [7.040, 6.998, 8.256, 8.286] |
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11
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potentials_d = pd.DataFrame(potentials) |
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12
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currents_d = pd.DataFrame(currents) |
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13
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14
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assert (isinstance(calculations.peak_values(potentials_d, currents_d), |
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15
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np.ndarray), "output is not an array") |
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assert (calculations.peak_values(potentials_d, currents_d)[0] |
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== 0.498, "array value incorrect for data") |
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assert (calculations.peak_values(potentials_d, currents_d)[2] |
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19
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== 0.499, "array value incorrect for data") |
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20
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assert (calculations.peak_values(potentials_d, currents_d)[1] |
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== 8.256, "array value incorrect for data") |
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assert (calculations.peak_values(potentials_d, currents_d)[3] |
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== 6.998, "array value incorrect for data") |
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24
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25
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26
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def test_del_potential(): |
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"""This function tests the del_potential function.""" |
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28
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potentials = [0.500, 0.498, 0.499, 0.497] |
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currents = [7.040, 6.998, 8.256, 8.286] |
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30
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potentials_d = pd.DataFrame(potentials) |
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currents_d = pd.DataFrame(currents) |
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32
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assert (isinstance(calculations.del_potential(potentials_d, currents_d) |
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== np.ndarray), "output is not an array") |
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assert (calculations.del_potential(potentials_d, currents_d).shape |
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== (1, 1), "output shape incorrect") |
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assert (calculations.del_potential(potentials_d, currents_d).size |
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== 1, "array size incorrect") |
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39
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(np.testing.assert_almost_equal(calculations.del_potential(potentials_d, currents_d), |
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40
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0.001, decimal=3), "value incorrect for data") |
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41
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42
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43
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def test_half_wave_potential(): |
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"""This function tests half_wave_potential() function.""" |
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potentials = [0.500, 0.498, 0.499, 0.497] |
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currents = [7.040, 6.998, 8.256, 8.286] |
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47
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potentials_d = pd.DataFrame(potentials) |
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48
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currents_d = pd.DataFrame(currents) |
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49
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50
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assert (isinstance(calculations.half_wave_potential(potentials_d, currents_d) |
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== np.ndarray), "output is not an array") |
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assert (calculations.half_wave_potential(potentials_d, currents_d).size |
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== 1, "out not correct size") |
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54
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(np.testing.assert_almost_equal(calculations.half_wave_potential(potentials_d, currents_d), |
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55
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0.0005, decimal=4), "value incorrect for data") |
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56
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57
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58
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def test_peak_heights(): |
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59
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"""This function tests peak_heights() function.""" |
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60
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potentials = [0.500, 0.498, 0.499, 0.497] |
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61
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currents = [7.040, 6.998, 8.256, 8.286] |
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62
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potentials_d = pd.DataFrame(potentials) |
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63
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currents_d = pd.DataFrame(currents) |
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64
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65
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assert (isinstance(calculations.peak_heights(potentials_d, currents_d), |
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66
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list), "output is not a list") |
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67
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assert (len(calculations.peak_heights(potentials_d, currents_d)) |
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== 2, "output list is not the correct length") |
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69
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np.testing.assert_almost_equal(calculations.peak_heights(potentials_d, currents_d)[0], 7.256, decimal=3, err_msg="max peak height incorrect for data") |
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70
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np.testing.assert_almost_equal(calculations.peak_heights(potentials_d, currents_d)[1], 4.998, decimal=3, err_msg="min peak height incorrect for data") |
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71
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72
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73
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def test_peak_ratio(): |
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74
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"""This function tests peak_ratio() function.""" |
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75
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potentials = [0.500, 0.498, 0.499, 0.497] |
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76
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currents = [7.040, 6.998, 8.256, 8.286] |
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77
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potentials_d = pd.DataFrame(potentials) |
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78
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currents_d = pd.DataFrame(currents) |
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79
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80
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assert (isinstance(calculations.peak_ratio(potentials_d, currents_d)) |
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== np.ndarray, "output is not an array") |
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82
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assert (len(calculations.peak_ratio(potentials_d, currents_d)) |
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== 1, "output list is not the correct length") |
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84
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np.testing.assert_almost_equal(calculations.peak_ratio(potentials_d, currents_d), |
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85
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1.451, decimal=3, err_msg="max peak height incorrect for data") |
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86
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sabiharustam /
voltcycle
