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tests: Add integration tests for public datasets
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dkrako committed Oct 6, 2023
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# Copyright (c) 2023 The pymovements Project Authors
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# SOFTWARE.
"""Test basic preprocessing on all registered public datasets."""
import pytest

import pymovements as pm


@pytest.mark.parametrize(
'dataset_name',
list(pm.dataset.DatasetLibrary.definitions.keys()),
)
def test_public_dataset_processing(dataset_name, tmp_path):
# Initialize dataset.
dataset_path = tmp_path / dataset_name
dataset = pm.Dataset(dataset_name, path=dataset_path)

# Download and load in dataset.
dataset.download()
dataset.load()

# Do some basic transformations.
if 'pixel' in dataset.gaze[0].columns:
dataset.pix2deg()
dataset.pos2vel()
dataset.pos2acc()

for gaze in dataset.gaze:
assert 'position' in gaze.columns
assert 'velocity' in gaze.columns
assert 'acceleration' in gaze.columns

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