Add # Copied from statements to audio feature extractors that use the floats_list function (#26581)

Add # Copied from statements to audio feature extractors that use the floats_list function.

tests/models/audio_spectrogram_transformer/test_feature_extraction_audio_spectrogram_transformer.py

@@ -33,6 +33,7 @@ if is_torch_available():
     import torch
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/encodec/test_feature_extraction_encodec.py

@@ -34,6 +34,7 @@ if is_torch_available():
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/musicgen/test_processing_musicgen.py

@@ -35,6 +35,7 @@ if is_speech_available():
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/speech_to_text/test_feature_extraction_speech_to_text.py

@@ -32,6 +32,7 @@ if is_speech_available():
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/speecht5/test_feature_extraction_speecht5.py

@@ -34,6 +34,7 @@ if is_torch_available():
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/tvlt/test_feature_extraction_tvlt.py

@@ -38,6 +38,7 @@ if is_datasets_available():
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/wav2vec2/test_feature_extraction_wav2vec2.py

@@ -29,6 +29,7 @@ from ...test_sequence_feature_extraction_common import SequenceFeatureExtraction
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None:

tests/models/wav2vec2/test_tokenization_wav2vec2.py

@@ -39,6 +39,7 @@ from ...test_tokenization_common import TokenizerTesterMixin
 global_rng = random.Random()
 
 
+# Copied from tests.models.whisper.test_feature_extraction_whisper.floats_list
 def floats_list(shape, scale=1.0, rng=None, name=None):
     """Creates a random float32 tensor"""
     if rng is None: