

"""simple docstring"""

import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
							pass

if is_speech_available():
							from transformers import EncodecFeatureExtractor, MusicgenProcessor


a__ :	Union[str, Any]						= random.Random()





def 				__UpperCamelCase   (    a__: str ,	a__: Optional[Any]=1.0 ,	a__: Dict=None ,	a__: Optional[int]=None			)				->			int:




					"""simple docstring"""



					if rng is None:
										__lowercase												=			global_rng

					__lowercase												=			[]
					for batch_idx in range(shape[0]			):
										values.append([]			)
										for _ in range(shape[1]			):
															values[-1].append(rng.random() * scale			)

					return values


@require_torch
@require_sentencepiece
class 			_snake_case     (						unittest.TestCase       ):







						def        _UpperCamelCase    (self							)			->						List[Any]:
											__lowercase												=			'''facebook/musicgen-small'''
											__lowercase												=			tempfile.mkdtemp()







						def        _UpperCamelCase    (self     ,							**UpperCAmelCase_							)			->						str:
											return TaTokenizer.from_pretrained(self.checkpoint     ,							**UpperCAmelCase_							)







						def        _UpperCamelCase    (self     ,							**UpperCAmelCase_							)			->						Any:
											return EncodecFeatureExtractor.from_pretrained(self.checkpoint     ,							**UpperCAmelCase_							)







						def        _UpperCamelCase    (self							)			->						Any:
											shutil.rmtree(self.tmpdirname							)







						def        _UpperCamelCase    (self							)			->						Dict:
											__lowercase												=			self.get_tokenizer()
											__lowercase												=			self.get_feature_extractor()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											processor.save_pretrained(self.tmpdirname							)
											__lowercase												=			MusicgenProcessor.from_pretrained(self.tmpdirname							)

											self.assertEqual(processor.tokenizer.get_vocab()     ,							tokenizer.get_vocab()							)
											self.assertIsInstance(processor.tokenizer     ,							UpperCAmelCase_							)

											self.assertEqual(processor.feature_extractor.to_json_string()     ,							feature_extractor.to_json_string()							)
											self.assertIsInstance(processor.feature_extractor     ,							UpperCAmelCase_							)







						def        _UpperCamelCase    (self							)			->						Tuple:
											__lowercase												=			MusicgenProcessor(tokenizer=self.get_tokenizer()     ,							feature_extractor=self.get_feature_extractor()							)
											processor.save_pretrained(self.tmpdirname							)

											__lowercase												=			self.get_tokenizer(bos_token='''(BOS)'''     ,							eos_token='''(EOS)'''							)
											__lowercase												=			self.get_feature_extractor(do_normalize=UpperCAmelCase_     ,							padding_value=1.0							)

											__lowercase												=			MusicgenProcessor.from_pretrained(
											    self.tmpdirname     ,							bos_token='''(BOS)'''     ,							eos_token='''(EOS)'''     ,							do_normalize=UpperCAmelCase_     ,							padding_value=1.0							)

											self.assertEqual(processor.tokenizer.get_vocab()     ,							tokenizer_add_kwargs.get_vocab()							)
											self.assertIsInstance(processor.tokenizer     ,							UpperCAmelCase_							)

											self.assertEqual(processor.feature_extractor.to_json_string()     ,							feature_extractor_add_kwargs.to_json_string()							)
											self.assertIsInstance(processor.feature_extractor     ,							UpperCAmelCase_							)







						def        _UpperCamelCase    (self							)			->						int:
											__lowercase												=			self.get_feature_extractor()
											__lowercase												=			self.get_tokenizer()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											__lowercase												=			floats_list((3, 1_0_0_0)							)

											__lowercase												=			feature_extractor(UpperCAmelCase_     ,							return_tensors='''np'''							)
											__lowercase												=			processor(UpperCAmelCase_     ,							return_tensors='''np'''							)

											for key in input_feat_extract.keys():
																self.assertAlmostEqual(input_feat_extract[key].sum()     ,							input_processor[key].sum()     ,							delta=1e-2							)







						def        _UpperCamelCase    (self							)			->						List[str]:
											__lowercase												=			self.get_feature_extractor()
											__lowercase												=			self.get_tokenizer()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											__lowercase												=			'''This is a test string'''

											__lowercase												=			processor(text=UpperCAmelCase_							)

											__lowercase												=			tokenizer(UpperCAmelCase_							)

											for key in encoded_tok.keys():
																self.assertListEqual(encoded_tok[key]     ,							encoded_processor[key]							)







						def        _UpperCamelCase    (self							)			->						int:
											__lowercase												=			self.get_feature_extractor()
											__lowercase												=			self.get_tokenizer()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											__lowercase												=			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											__lowercase												=			processor.batch_decode(sequences=UpperCAmelCase_							)
											__lowercase												=			tokenizer.batch_decode(UpperCAmelCase_							)

											self.assertListEqual(UpperCAmelCase_     ,							UpperCAmelCase_							)







						def        _UpperCamelCase    (self							)			->						Union[str, Any]:
											__lowercase												=			self.get_feature_extractor()
											__lowercase												=			self.get_tokenizer()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											self.assertListEqual(
											    processor.model_input_names     ,							feature_extractor.model_input_names     ,							msg='''`processor` and `feature_extractor` model input names do not match'''     ,							)







						def        _UpperCamelCase    (self							)			->						Tuple:
											__lowercase												=			self.get_feature_extractor(padding_side='''left'''							)
											__lowercase												=			self.get_tokenizer()

											__lowercase												=			MusicgenProcessor(tokenizer=UpperCAmelCase_     ,							feature_extractor=UpperCAmelCase_							)

											__lowercase												=			[floats_list((1, x)							)[0] for x in range(5     ,							2_0     ,							5							)]
											__lowercase												=			processor(UpperCAmelCase_							).padding_mask

											__lowercase												=			np.asarray(floats_list((3, 2_0)							)							)[:, None, :]
											__lowercase												=			processor.batch_decode(UpperCAmelCase_     ,							padding_mask=UpperCAmelCase_							)

											self.assertIsInstance(UpperCAmelCase_     ,							UpperCAmelCase_							)

											for audio in decoded_audios:
																self.assertIsInstance(UpperCAmelCase_     ,							np.ndarray							)

											self.assertTrue(decoded_audios[0].shape == (1, 1_0)							)
											self.assertTrue(decoded_audios[1].shape == (1, 1_5)							)
											self.assertTrue(decoded_audios[2].shape == (1, 2_0)							)





"""simple docstring"""

import unittest
import warnings

from datasets.utils import experimental





@experimental
def 				__UpperCamelCase   (    )				->			Optional[Any]:




					"""simple docstring"""



					return "success"


class 			_snake_case     (						unittest.TestCase       ):







						def        _UpperCamelCase    (self							)			->						Tuple:
											with warnings.catch_warnings(record=UpperCAmelCase_							) as w:
																warnings.simplefilter('''always'''							)
																self.assertEqual(dummy_function()     ,							'''success'''							)
											self.assertEqual(len(UpperCAmelCase_							)     ,							1							)


