"""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


UpperCamelCase_    :    List[Any]											=						random.Random()


def 					a__ (						UpperCAmelCase__    :     Any						,     UpperCAmelCase__    :     Optional[int]=1.0						,     UpperCAmelCase__    :     str=None						,     UpperCAmelCase__    :     str=None     )->		Optional[int]:
						if rng is None:
												UpperCAmelCase__   		=						global_rng

						UpperCAmelCase__   		=						[]
						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      _lowercase						(				unittest.TestCase					):

				def     A	(       self    :      Optional[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						"""facebook/musicgen-small"""
										UpperCAmelCase__   		=						tempfile.mkdtemp()

				def     A	(       self    :      str    ,      **_lowercase    :      Union[str, Any]       ):


										'''simple docstring'''
										return TaTokenizer.from_pretrained(self.checkpoint    ,      **_lowercase       )

				def     A	(       self    :      Optional[Any]    ,      **_lowercase    :      Tuple       ):


										'''simple docstring'''
										return EncodecFeatureExtractor.from_pretrained(self.checkpoint    ,      **_lowercase       )

				def     A	(       self    :      Optional[int]       ):


										'''simple docstring'''
										shutil.rmtree(self.tmpdirname       )

				def     A	(       self    :      List[str]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_tokenizer()
										UpperCAmelCase__   		=						self.get_feature_extractor()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

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

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

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

				def     A	(       self    :      str       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=self.get_tokenizer()    ,      feature_extractor=self.get_feature_extractor()       )
										processor.save_pretrained(self.tmpdirname       )

										UpperCAmelCase__   		=						self.get_tokenizer(bos_token="""(BOS)"""    ,      eos_token="""(EOS)"""       )
										UpperCAmelCase__   		=						self.get_feature_extractor(do_normalize=_lowercase    ,      padding_value=1.0       )

										UpperCAmelCase__   		=						MusicgenProcessor.from_pretrained(
										    self.tmpdirname    ,      bos_token="""(BOS)"""    ,      eos_token="""(EOS)"""    ,      do_normalize=_lowercase    ,      padding_value=1.0       )

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

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

				def     A	(       self    :      str       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_feature_extractor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

										UpperCAmelCase__   		=						floats_list((3, 1_0_0_0)       )

										UpperCAmelCase__   		=						feature_extractor(_lowercase    ,      return_tensors="""np"""       )
										UpperCAmelCase__   		=						processor(_lowercase    ,      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     A	(       self    :      Tuple       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_feature_extractor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

										UpperCAmelCase__   		=						"""This is a test string"""

										UpperCAmelCase__   		=						processor(text=_lowercase       )

										UpperCAmelCase__   		=						tokenizer(_lowercase       )

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

				def     A	(       self    :      Tuple       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_feature_extractor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

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

										UpperCAmelCase__   		=						processor.batch_decode(sequences=_lowercase       )
										UpperCAmelCase__   		=						tokenizer.batch_decode(_lowercase       )

										self.assertListEqual(_lowercase    ,      _lowercase       )

				def     A	(       self    :      Dict       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_feature_extractor()
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

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

				def     A	(       self    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.get_feature_extractor(padding_side="""left"""       )
										UpperCAmelCase__   		=						self.get_tokenizer()

										UpperCAmelCase__   		=						MusicgenProcessor(tokenizer=_lowercase    ,      feature_extractor=_lowercase       )

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

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

										self.assertIsInstance(_lowercase    ,      _lowercase       )

										for audio in decoded_audios:
																self.assertIsInstance(_lowercase    ,      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 safs


class      _lowercase						(				safs.SaFileSystem					):
				pass

