




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


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


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase=1.0						,	lowerCAmelCase=None						,	lowerCAmelCase=None   )->  Dict:
		if rng is None:
				SCREAMING_SNAKE_CASE_							=       global_rng

		SCREAMING_SNAKE_CASE_							=       []
		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  :      Tuple     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       'facebook/musicgen-small'
								SCREAMING_SNAKE_CASE_							=       tempfile.mkdtemp()



						def   __a				( self  :      List[str]				,       **snake_case__  :      Optional[int]     ):

								"""simple docstring"""

								return TaTokenizer.from_pretrained(self.checkpoint				,       **snake_case__     )



						def   __a				( self  :      List[Any]				,       **snake_case__  :      Optional[Any]     ):

								"""simple docstring"""

								return EncodecFeatureExtractor.from_pretrained(self.checkpoint				,       **snake_case__     )



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								shutil.rmtree(self.tmpdirname     )



						def   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()
								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

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

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

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



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=self.get_tokenizer()				,       feature_extractor=self.get_feature_extractor()     )
								processor.save_pretrained(self.tmpdirname     )

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

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

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

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



						def   __a				( self  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor()
								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

								SCREAMING_SNAKE_CASE_							=       floats_list((3, 10_00)     )

								SCREAMING_SNAKE_CASE_							=       feature_extractor(snake_case__				,       return_tensors='np'     )
								SCREAMING_SNAKE_CASE_							=       processor(snake_case__				,       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  :      Optional[int]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor()
								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

								SCREAMING_SNAKE_CASE_							=       'This is a test string'

								SCREAMING_SNAKE_CASE_							=       processor(text=snake_case__     )

								SCREAMING_SNAKE_CASE_							=       tokenizer(snake_case__     )

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



						def   __a				( self  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor()
								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

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

								SCREAMING_SNAKE_CASE_							=       processor.batch_decode(sequences=snake_case__     )
								SCREAMING_SNAKE_CASE_							=       tokenizer.batch_decode(snake_case__     )

								self.assertListEqual(snake_case__				,       snake_case__     )



						def   __a				( self  :      Any     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor()
								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

								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  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.get_feature_extractor(padding_side='left'     )
								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()

								SCREAMING_SNAKE_CASE_							=       MusicgenProcessor(tokenizer=snake_case__				,       feature_extractor=snake_case__     )

								SCREAMING_SNAKE_CASE_							=       [floats_list((1, x)     )[0] for x in range(5				,       20				,       5     )]
								SCREAMING_SNAKE_CASE_							=       processor(snake_case__     ).padding_mask

								SCREAMING_SNAKE_CASE_							=       np.asarray(floats_list((3, 20)     )     )[:, None, :]
								SCREAMING_SNAKE_CASE_							=       processor.batch_decode(snake_case__				,       padding_mask=snake_case__     )

								self.assertIsInstance(snake_case__				,       snake_case__     )

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

								self.assertTrue(decoded_audios[0].shape == (1, 10)     )
								self.assertTrue(decoded_audios[1].shape == (1, 15)     )
								self.assertTrue(decoded_audios[2].shape == (1, 20)     )





from __future__ import annotations


def 				_a       (				lowerCAmelCase   )->  list[int]:
		if not list_of_ints:
				return []

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		return _msd_radix_sort(lowerCAmelCase						,	lowerCAmelCase   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  list[int]:
		if bit_position == 0 or len(lowerCAmelCase   ) in [0, 1]:
				return list_of_ints

		SCREAMING_SNAKE_CASE_							=       []
		SCREAMING_SNAKE_CASE_							=       []
		# Split numbers based on bit at bit_position from the right
		for number in list_of_ints:
				if (number >> (bit_position - 1)) & 1:
						# number has a one at bit bit_position
						ones.append(lowerCAmelCase   )
				else:
						# number has a zero at bit bit_position
						zeros.append(lowerCAmelCase   )

    # recursively split both lists further
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )
		SCREAMING_SNAKE_CASE_							=       _msd_radix_sort(lowerCAmelCase						,	bit_position - 1   )

		# recombine lists
		SCREAMING_SNAKE_CASE_							=       zeros
		res.extend(lowerCAmelCase   )

		return res


def 				_a       (				lowerCAmelCase   )->  Dict:
		SCREAMING_SNAKE_CASE_							=       len(lowerCAmelCase   )
		if not list_of_ints or length == 1:
				return

		if min(lowerCAmelCase   ) < 0:
				raise ValueError('All numbers must be positive'   )

		SCREAMING_SNAKE_CASE_							=       max(len(bin(lowerCAmelCase   )[2:]   ) for x in list_of_ints   )
		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	0						,	lowerCAmelCase   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )->  Optional[int]:
		if bit_position == 0 or end_index - begin_index <= 1:
				return

		bit_position -= 1

		SCREAMING_SNAKE_CASE_							=       begin_index
		SCREAMING_SNAKE_CASE_							=       end_index - 1
		while i <= j:
				SCREAMING_SNAKE_CASE_							=       False
				if not (list_of_ints[i] >> bit_position) & 1:
						# found zero at the beginning
						i += 1
						SCREAMING_SNAKE_CASE_							=       True
				if (list_of_ints[j] >> bit_position) & 1:
						# found one at the end
						j -= 1
						SCREAMING_SNAKE_CASE_							=       True

				if changed:
						continue

				SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       list_of_ints[j], list_of_ints[i]
				j -= 1
				if j != i:
						i += 1

		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )
		_msd_radix_sort_inplace(lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()