fixed comments
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@@ -3,10 +3,9 @@ from .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.tensor([]).to(device)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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TEST_WAVEFORM = torch.tensor([]).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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@@ -43,11 +42,10 @@ def test_AudioProcessor_init(probe_audio_processor):
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def test_cut():
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"""Test for the test_cut Method for fixed parameters
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"""
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waveform = torch.Tensor(10, 3)
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sr = 16000
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start = 4
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end = 7
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assert AudioProcessor(waveform, sr).cut(start, end).size() == int((end - start) * TEST_SR)
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assert AudioProcessor(TEST_WAVEFORM, TEST_SR).cut(start, end).size() == int((end - start) * TEST_SR)
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