rm comment && ✅

audio/tests/audiotools/core/test_effects.py

@@ -144,42 +144,9 @@ def test_pipeline():
     (spk @ ir).mix(nz, snr=tgt_snr)
 
 
-# def test_codec():
 
-#     audio_path = "./audio/spk/f10_script4_produced.wav"
-#     spk = AudioSignal(audio_path, offset=10, duration=10)
 
-#     with pytest.raises(ValueError):
-#         spk.apply_codec("unknown preset")
 
-#     out = spk.deepcopy().apply_codec("Ogg")
-#     out = spk.deepcopy().apply_codec("8-bit")
-
-# def test_pitch_shift():
-#     audio_path = "./audio/spk/f10_script4_produced.wav"
-#     spk = AudioSignal(audio_path, offset=10, duration=1)
-
-#     single = spk.deepcopy().pitch_shift(5)
-
-#     batch_size = 4
-#     spk_batch = AudioSignal.batch([spk.deepcopy() for _ in range(batch_size)])
-
-#     batched = spk_batch.deepcopy().pitch_shift(5)
-
-#     assert np.allclose(batched[0].audio_data, single[0].audio_data)
-
-# def test_time_stretch():
-#     audio_path = "./audio/spk/f10_script4_produced.wav"
-#     spk = AudioSignal(audio_path, offset=10, duration=1)
-
-#     single = spk.deepcopy().time_stretch(0.8)
-
-#     batch_size = 4
-#     spk_batch = AudioSignal.batch([spk.deepcopy() for _ in range(batch_size)])
-
-#     batched = spk_batch.deepcopy().time_stretch(0.8)
-
-#     assert np.allclose(batched[0].audio_data, single[0].audio_data)
 
 
 @pytest.mark.parametrize("n_bands", [1, 2, 4, 8, 12, 16])

audio/tests/audiotools/core/test_fftconv.py

@@ -63,16 +63,7 @@ class TestFFTConv1d(_BaseTest):
         w = paddle.randn([10, 5, 19])
         self.assertEqual(list(fft_conv1d(x, w).shape), [1, 10, 1])
 
-    # def test_block_ratio(self):
+
-    #     x = paddle.randn([1, 5, 1024])
-    #     w = paddle.randn([10, 5, 19])
-    #     ref = fft_conv1d(x, w)
-    #     for block_ratio in [1, 5, 10, 20]:
-    #         y = fft_conv1d(x, w, block_ratio=block_ratio)
-    #         self.assertSimilar(y, ref, msg=str(block_ratio))
-
-    #     with self.assertRaises(RuntimeError):
-    #         y = fft_conv1d(x, w, block_ratio=0.9)
 
     def test_module(self):
         x = paddle.randn([16, 4, 1024])