added tests folder
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import pytest
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from scraibe.audio import AudioProcessor
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import torch
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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TEST_WAVEFORM = torch.sin(torch.randn(160000)).to(DEVICE)
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TEST_SR = 16000
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SAMPLE_RATE = 16000
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NORMALIZATION_FACTOR = 32768
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@pytest.fixture
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def probe_audio_processor():
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"""Fixture for creating an instance of the AudioProcessor class with test waveform and sample rate.
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This fixture is used to create an instance of the AudioProcessor class with a predfined test waveform and sample rate (TEST_SR). It returns the instantiated AudioProcessor , which can bes used as a
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dependency in other test functions.
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Returns:
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AudioProcessor (obj): An instance of the AudioProcessor class with the test waveform and sample rate.
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"""
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return AudioProcessor(TEST_WAVEFORM, TEST_SR)
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def test_AudioProcessor_init(probe_audio_processor):
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"""
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Test the initialization of the AudioProcessor class.
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This test verifies that the AUdioProcessor class is correctly initialized with the provided waveform and sample rate. It checks whether the instantiated AhdioProcessor object has the correct attributes
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and whether the waveform and sample rate match the expected values.
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Args:
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probe_audio_processor (obj): An instance of the AudioProcessor class to be tested.
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Returns:
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None
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"""
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assert isinstance(probe_audio_processor, AudioProcessor)
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assert probe_audio_processor.waveform.device == TEST_WAVEFORM.device
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assert torch.equal(probe_audio_processor.waveform, TEST_WAVEFORM)
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assert probe_audio_processor.sr == TEST_SR
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def test_cut(probe_audio_processor):
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"""Test the cut function of the AudioProcessor class.
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This test verifies that the cut function correctly extracts a segment of audio data from
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the waveform, given start and end indices. It checks whether the size of the extracted segment matches
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the expected size based on the provided start and end indices and the sample rate.
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Returns:
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None
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"""
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start = 4
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end = 7
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trimmed_waveform = probe_audio_processor.cut(start, end)
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expected_size = int((end - start) * TEST_SR)
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real_size = trimmed_waveform.size(0)
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assert real_size == expected_size
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# assert AudioProcessor(TEST_WAVEFORM, TEST_SR).cut(start, end).size() == int((end - start) * TEST_SR)
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def test_audio_processor_invalid_sr():
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"""Test the behavior of AudioProcessor when an invalid smaple rate is provided.
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This test verifies that the AudioProcessor constructor raises a ValueError when an invalid sample rate is provided. It uses the pytest.raises context manager to check if the ValueError is raised when initializing an
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AudioProcessor object with an invalid sample rate.
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Returns:
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None
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"""
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with pytest.raises(ValueError):
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AudioProcessor(TEST_WAVEFORM, [44100, 48000])
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def test_audio_processor_SAMPLE_RATE():
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"""Test the default sample rate of the AudioProcessor class.
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This test verifies that the default sample rate of the AudioProcessor class matches the expected value defined by the constant SAMPLE_RATE. It instantiates an AudioProcessor object with a test waveform
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and checks whether the sample rate attribute (sr) of the AudioProcessor object equals the predefined constant SAMPLE_RATE.
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Returns:
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None
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"""
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probe_audio_processor = AudioProcessor(TEST_WAVEFORM)
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assert probe_audio_processor.sr == SAMPLE_RATE
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