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assert_tensor_close_on_at_least ,
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get_ffmpeg_major_version ,
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in_fbcode ,
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+ IS_WINDOWS ,
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NASA_AUDIO_MP3 ,
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SINE_MONO_S32 ,
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TestContainerFile ,
@@ -151,15 +152,29 @@ def test_bad_input_parametrized(self, method, tmp_path):
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raise ValueError (f"Unknown method: { method } " )
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decoder = AudioEncoder (self .decode (NASA_AUDIO_MP3 ).data , sample_rate = 10 )
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- with pytest .raises (RuntimeError , match = "invalid sample rate=10" ):
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+ avcodec_open2_failed_msg = "avcodec_open2 failed: Invalid argument"
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+ with pytest .raises (
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+ RuntimeError ,
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+ match = avcodec_open2_failed_msg if IS_WINDOWS else "invalid sample rate=10" ,
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+ ):
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getattr (decoder , method )(** valid_params )
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decoder = AudioEncoder (
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self .decode (NASA_AUDIO_MP3 ).data , sample_rate = NASA_AUDIO_MP3 .sample_rate
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)
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- with pytest .raises (RuntimeError , match = "invalid sample rate=10" ):
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+ with pytest .raises (
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+ RuntimeError ,
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+ match = avcodec_open2_failed_msg if IS_WINDOWS else "invalid sample rate=10" ,
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+ ):
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getattr (decoder , method )(sample_rate = 10 , ** valid_params )
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- with pytest .raises (RuntimeError , match = "invalid sample rate=99999999" ):
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+ with pytest .raises (
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+ RuntimeError ,
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+ match = (
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+ avcodec_open2_failed_msg
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+ if IS_WINDOWS
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+ else "invalid sample rate=99999999"
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+ ),
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+ ):
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getattr (decoder , method )(sample_rate = 99999999 , ** valid_params )
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with pytest .raises (RuntimeError , match = "bit_rate=-1 must be >= 0" ):
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getattr (decoder , method )(** valid_params , bit_rate = - 1 )
@@ -175,12 +190,14 @@ def test_bad_input_parametrized(self, method, tmp_path):
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self .decode (NASA_AUDIO_MP3 ).data , sample_rate = NASA_AUDIO_MP3 .sample_rate
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)
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for num_channels in (0 , 3 ):
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- with pytest .raises (
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- RuntimeError ,
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- match = re .escape (
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+ match = (
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+ avcodec_open2_failed_msg
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+ if IS_WINDOWS
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+ else re .escape (
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f"Desired number of channels ({ num_channels } ) is not supported"
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- ),
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- ):
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+ )
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+ )
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+ with pytest .raises (RuntimeError , match = match ):
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getattr (decoder , method )(** valid_params , num_channels = num_channels )
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@pytest .mark .parametrize ("method" , ("to_file" , "to_tensor" , "to_file_like" ))
@@ -240,6 +257,9 @@ def test_against_cli(
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if get_ffmpeg_major_version () == 4 and format == "wav" :
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pytest .skip ("Swresample with FFmpeg 4 doesn't work on wav files" )
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+ if IS_WINDOWS and get_ffmpeg_major_version () <= 5 and format == "mp3" :
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+ # TODO: https://github.com/pytorch/torchcodec/issues/837
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+ pytest .skip ("Encoding mp3 on Windows is weirdly buggy" )
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encoded_by_ffmpeg = tmp_path / f"ffmpeg_output.{ format } "
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subprocess .run (
@@ -295,8 +315,15 @@ def test_against_cli(
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rtol , atol = 0 , 1e-3
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else :
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rtol , atol = None , None
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+
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+ if IS_WINDOWS and format == "mp3" :
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+ # We're getting a "Could not open input file" on Windows mp3 files when decoding.
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+ # TODO: https://github.com/pytorch/torchcodec/issues/837
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+ return
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+
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samples_by_us = self .decode (encoded_by_us )
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samples_by_ffmpeg = self .decode (encoded_by_ffmpeg )
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+
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assert_close (
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samples_by_us .data ,
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samples_by_ffmpeg .data ,
@@ -320,6 +347,9 @@ def test_against_to_file(
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):
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if get_ffmpeg_major_version () == 4 and format == "wav" :
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pytest .skip ("Swresample with FFmpeg 4 doesn't work on wav files" )
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+ if IS_WINDOWS and get_ffmpeg_major_version () <= 5 and format == "mp3" :
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+ # TODO: https://github.com/pytorch/torchcodec/issues/837
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+ pytest .skip ("Encoding mp3 on Windows is weirdly buggy" )
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encoder = AudioEncoder (self .decode (asset ).data , sample_rate = asset .sample_rate )
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@@ -340,9 +370,12 @@ def test_against_to_file(
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else :
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raise ValueError (f"Unknown method: { method } " )
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- torch .testing .assert_close (
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- self .decode (encoded_file ).data , self .decode (encoded_output ).data
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- )
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+ if not (IS_WINDOWS and format == "mp3" ):
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+ # We're getting a "Could not open input file" on Windows mp3 files when decoding.
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+ # TODO: https://github.com/pytorch/torchcodec/issues/837
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+ torch .testing .assert_close (
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+ self .decode (encoded_file ).data , self .decode (encoded_output ).data
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+ )
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def test_encode_to_tensor_long_output (self ):
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# Check that we support re-allocating the output tensor when the encoded
@@ -417,7 +450,7 @@ def test_num_channels(
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sample_rate = 16_000
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source_samples = torch .rand (num_channels_input , 1_000 )
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- format = "mp3 "
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+ format = "flac "
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encoder = AudioEncoder (source_samples , sample_rate = sample_rate )
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params = dict (num_channels = num_channels_output )
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