import platform from DeepFakeAI.normalizer import normalize_output_path, normalize_padding def test_normalize_output_path() -> None: if platform.system().lower() != 'windows': assert normalize_output_path([ '.assets/examples/source.jpg' ], None, '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4' assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/target-240p.mp4') == '.assets/examples/target-240p.mp4' assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples') == '.assets/examples/target-240p.mp4' assert normalize_output_path([ '.assets/examples/source.jpg' ], '.assets/examples/target-240p.mp4', '.assets/examples') == '.assets/examples/source-target-240p.mp4' assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/output.mp4') == '.assets/examples/output.mp4' assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/output.mov') == '.assets/output.mp4' assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/examples/invalid') is None assert normalize_output_path(None, '.assets/examples/target-240p.mp4', '.assets/invalid/output.mp4') is None assert normalize_output_path(None, '.assets/examples/target-240p.mp4', 'invalid') is None assert normalize_output_path([ '.assets/examples/source.jpg' ], '.assets/examples/target-240p.mp4', None) is None def test_normalize_padding() -> None: assert normalize_padding([ 0, 0, 0, 0 ]) == (0, 0, 0, 0) assert normalize_padding([ 1 ]) == (1, 1, 1, 1) assert normalize_padding([ 1, 2 ]) == (1, 2, 1, 2) assert normalize_padding([ 1, 2, 3 ]) == (1, 2, 3, 2) assert normalize_padding(None) is None