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#!/usr/bin/env python
""" """
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "BSD"
import unittest
import math
from argaze import PupillFeatures
import numpy
def random_pupill_diameters(size):
""" Generate random TimeStampedPupillDiameters for testing purpose.
Timestamps are current time.
PupillDiameters are random values.
"""
import random
import time
ts_pupill_diameters = PupillFeatures.TimeStampedPupillDiameters()
for i in range(0, size):
# Edit pupill diameter
random_pupill_diameter = PupillFeatures.PupillDiameter(random.random())
# Store pupill diameter
ts_pupill_diameters[time.time()] = random_pupill_diameter
return ts_pupill_diameters
class TestPupillDiameterClass(unittest.TestCase):
"""Test PupillDiameter class."""
def test_new(self):
"""Test PupillDiameter creation."""
# Check empty PupillDiameter
empty_pupill_diameter = PupillFeatures.PupillDiameter()
self.assertEqual(empty_pupill_diameter, math.nan)
# Check float PupillDiameter
float_pupill_diameter = PupillFeatures.PupillDiameter(1.23)
self.assertEqual(float_pupill_diameter, 1.23)
def test_properties(self):
"""Test PupillDiameter properties cannot be modified after creation."""
pupill_diameter = PupillFeatures.PupillDiameter()
# Check that pupill diameter value setting fails
with self.assertRaises(AttributeError):
pupill_diameter = 123
self.assertNotEqual(pupill_diameter, 123)
self.assertEqual(pupill_diameter, math.nan)
def test___repr__(self):
"""Test PupillDiameter string representation."""
# Check empty PupillDiameter representation
self.assertEqual(repr(PupillFeatures.PupillDiameter()), "{\"value\": NaN}")
class TestTimeStampedPupillDiametersClass(unittest.TestCase):
"""Test TimeStampedPupillDiameters class."""
def test___setitem__(self):
"""Test __setitem__ method."""
ts_pupill_diameters = PupillFeatures.TimeStampedPupillDiameters([
PupillFeatures.PupillDiameter(),
PupillFeatures.PupillDiameter(0.63),
{"value": 1.23}
])
# Check empty PupillDiameter is correctly stored and accessible as a PupillDiameter
self.assertIsInstance(ts_pupill_diameters[0], PupillFeatures.PupillDiameter)
self.assertEqual(ts_pupill_diameters[0], math.nan)
# Check PupillDiameter is correctly stored and accessible as a PupillDiameter
self.assertIsInstance(ts_pupill_diameters[1], PupillFeatures.PupillDiameter)
self.assertEqual(ts_pupill_diameters[0], 0.63)
# Check dict with "value" key is correctly stored and accessible as a PupillDiameter
self.assertIsInstance(ts_pupill_diameters[2], PupillFeatures.PupillDiameter)
self.assertEqual(ts_pupill_diameters[0], 1.23)
# Check that bad data type insertion fails
with self.assertRaises(AssertionError):
ts_pupill_diameters[3] = "This string is not a pupill diameter value."
# Check that dict with bad keys insertion fails
with self.assertRaises(AssertionError):
ts_pupill_diameters[4] = {"bad_key": 0.}
def test___repr__(self):
"""Test inherited string representation."""
ts_pupill_diameters = PupillFeatures.TimeStampedPupillDiameters()
self.assertEqual(repr(PupillFeatures.TimeStampedPupillDiameters()), "[]")
ts_pupill_diameters.append(PupillFeatures.PupillDiameter())
self.assertEqual(repr(ts_pupill_diameters), "[{\"value\": NaN, \"timestamp\": 0}]")
ts_pupill_diameters[0] = PupillFeatures.UnvalidPupillDiameter()
self.assertEqual(repr(ts_pupill_diameters), "{\"0\": {\"message\": null, \"value\": 0.0}}")
def test_as_dataframe(self):
"""Test inherited as_dataframe method."""
ts_pupill_diameters_dataframe = random_pupill_diameters(10).as_dataframe()
# Check dataframe conversion
self.assertEqual(ts_pupill_diameters_dataframe.index.name, "timestamp")
self.assertEqual(ts_pupill_diameters_dataframe.index.size, 10)
self.assertEqual(ts_pupill_diameters_dataframe.columns.size, 1)
self.assertEqual(ts_pupill_diameters_dataframe.columns[0], "value")
self.assertEqual(ts_pupill_diameters_dataframe["value"].dtype, 'float64')
# Check unvalid diameter conversion
ts_pupill_diameters = PupillFeatures.TimeStampedPupillDiameters()
ts_pupill_diameters[0] = PupillFeatures.UnvalidPupillDiameter()
ts_pupill_diameters_dataframe = ts_pupill_diameters.as_dataframe()
self.assertEqual(ts_pupill_diameters_dataframe.index.name, "timestamp")
self.assertEqual(ts_pupill_diameters_dataframe.index.size, 1)
self.assertEqual(ts_pupill_diameters_dataframe.columns.size, 1)
self.assertEqual(ts_pupill_diameters_dataframe.columns[0], "value")
self.assertEqual(ts_pupill_diameters_dataframe["value"].dtype, 'float64')
if __name__ == '__main__':
unittest.main()
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