87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
# import numpy as np
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from numpy.testing import assert_allclose
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from pytest import mark
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# @mark.smoke
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# @mark.body
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@mark.movement
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class MovementTest:
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def test_get_head_movement(self, processing_movement):
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actual_mean = [1.3946, 0.3011, -0.1183, 0.003, 0.0094]
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actual_std = [1.2644, 0.0786, 0.0649, 0.0342, 0.008]
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res = processing_movement.get_head_movement()
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assert_allclose(actual_mean, res.mean(), rtol=0.1, atol=1e-8)
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assert_allclose(actual_std, res.std(), rtol=0.1, atol=1e-8)
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def test_get_eye_blink(self, processing_movement):
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actual_mean = [0.1101, 455.5, 2.2931, 29.0]
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actual_std = [0.0241, 311.8611, 1.1407, 0.0]
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res = processing_movement.get_eye_blink()
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assert_allclose(actual_mean, res.mean(), rtol=0.1, atol=1e-8)
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assert_allclose(actual_std, res.std(), rtol=0.1, atol=1e-8)
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def test_get_eye_gaze(self, processing_movement):
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actual_mean = [0.2292, 0.4174, -0.8761, 0.0209, 0.4191, -0.9046, 0.0145, 0.0132]
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actual_std = [0.0546, 0.048, 0.0218, 0.0462, 0.0542, 0.0243, 0.0156, 0.0169]
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res = processing_movement.get_eye_gaze()
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assert_allclose(actual_mean, res.mean(), rtol=0.1, atol=1e-8)
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assert_allclose(actual_std, res.std(), rtol=0.1, atol=1e-8)
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def test_get_facial_tremor(self, processing_movement):
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actual_mean = [
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8.5948,
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3.8759,
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0.7286,
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0.2546,
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3.7195,
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2.8068,
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0.7231,
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0.4562,
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6.7215,
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3.5861,
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0.8253,
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0.3912,
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2.8608,
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2.1741,
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0.8614,
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0.6464,
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3.6781,
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2.6698,
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0.887,
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0.5783,
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0.0,
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0.0,
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0.6772,
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1.0,
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0.7655,
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0.5476,
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0.7504,
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0.8978,
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1.9713,
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1.4991,
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0.9381,
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0.7761,
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2.706,
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2.019,
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0.9885,
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0.7138,
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]
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res = processing_movement.get_facial_tremor()
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assert_allclose(actual_mean, res.mean(), rtol=0.1, atol=1e-8)
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def test_get_vocal_tremor(self, processing_movement):
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actual_mean = [4.23, 9.437, 7.634, 7.38, 61.642, 54.287]
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res = processing_movement.get_vocal_tremor()
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assert_allclose(actual_mean, res.mean(), rtol=0.1, atol=1e-8)
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def test_dummy_movement(self):
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assert True
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