



'''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									=      random.Random()


def 	lowercase_						( lowerCAmelCase__						:	Any      ,				lowerCAmelCase__						:	List[str]=1.0      ,				lowerCAmelCase__						:	str=None      ,				lowerCAmelCase__						:	Tuple=None			):

			"""simple docstring"""





			if rng is None:
						__UpperCAmelCase :   Optional[Any]    					=  global_rng

			__UpperCAmelCase :   Optional[int]    					=  []
			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 _A	(     unittest.TestCase     ):





		def 				__A							(  self					)							->  Union[str, Any]:

					'''simple docstring'''
					__UpperCAmelCase :   List[Any]    					=  'facebook/musicgen-small'
					__UpperCAmelCase :   Tuple    					=  tempfile.mkdtemp()





		def 				__A							(  self			,							**__UpperCAmelCase					)							->  int:

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





		def 				__A							(  self			,							**__UpperCAmelCase					)							->  Dict:

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





		def 				__A							(  self					)							->  int:

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





		def 				__A							(  self					)							->  str:

					'''simple docstring'''
					__UpperCAmelCase :   Optional[Any]    					=  self.get_tokenizer()
					__UpperCAmelCase :   List[Any]    					=  self.get_feature_extractor()

					__UpperCAmelCase :   Any    					=  MusicgenProcessor(tokenizer=lowercase_			,							feature_extractor=lowercase_					)

					processor.save_pretrained(self.tmpdirname					)
					__UpperCAmelCase :   str    					=  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 :   Dict    					=  MusicgenProcessor(tokenizer=self.get_tokenizer()			,							feature_extractor=self.get_feature_extractor()					)
					processor.save_pretrained(self.tmpdirname					)

					__UpperCAmelCase :   int    					=  self.get_tokenizer(bos_token="""(BOS)"""			,							eos_token="""(EOS)"""					)
					__UpperCAmelCase :   Optional[Any]    					=  self.get_feature_extractor(do_normalize=lowercase_			,							padding_value=1.0					)

					__UpperCAmelCase :   Any    					=  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					)							->  int:

					'''simple docstring'''
					__UpperCAmelCase :   int    					=  self.get_feature_extractor()
					__UpperCAmelCase :   int    					=  self.get_tokenizer()

					__UpperCAmelCase :   Any    					=  MusicgenProcessor(tokenizer=lowercase_			,							feature_extractor=lowercase_					)

					__UpperCAmelCase :   Optional[Any]    					=  floats_list((3, 1_000)					)

					__UpperCAmelCase :   List[Any]    					=  feature_extractor(lowercase_			,							return_tensors="""np"""					)
					__UpperCAmelCase :   Optional[Any]    					=  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					)							->  int:

					'''simple docstring'''
					__UpperCAmelCase :   Union[str, Any]    					=  self.get_feature_extractor()
					__UpperCAmelCase :   int    					=  self.get_tokenizer()

					__UpperCAmelCase :   Optional[int]    					=  MusicgenProcessor(tokenizer=lowercase_			,							feature_extractor=lowercase_					)

					__UpperCAmelCase :   Tuple    					=  'This is a test string'

					__UpperCAmelCase :   Optional[Any]    					=  processor(text=lowercase_					)

					__UpperCAmelCase :   Optional[Any]    					=  tokenizer(lowercase_					)

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





		def 				__A							(  self					)							->  Union[str, Any]:

					'''simple docstring'''
					__UpperCAmelCase :   Optional[Any]    					=  self.get_feature_extractor()
					__UpperCAmelCase :   List[str]    					=  self.get_tokenizer()

					__UpperCAmelCase :   int    					=  MusicgenProcessor(tokenizer=lowercase_			,							feature_extractor=lowercase_					)

					__UpperCAmelCase :   Optional[int]    					=  [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

					__UpperCAmelCase :   Any    					=  processor.batch_decode(sequences=lowercase_					)
					__UpperCAmelCase :   str    					=  tokenizer.batch_decode(lowercase_					)

					self.assertListEqual(lowercase_			,							lowercase_					)





		def 				__A							(  self					)							->  List[str]:

					'''simple docstring'''
					__UpperCAmelCase :   List[Any]    					=  self.get_feature_extractor()
					__UpperCAmelCase :   Tuple    					=  self.get_tokenizer()

					__UpperCAmelCase :   List[Any]    					=  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					)							->  Any:

					'''simple docstring'''
					__UpperCAmelCase :   str    					=  self.get_feature_extractor(padding_side="""left"""					)
					__UpperCAmelCase :   str    					=  self.get_tokenizer()

					__UpperCAmelCase :   Any    					=  MusicgenProcessor(tokenizer=lowercase_			,							feature_extractor=lowercase_					)

					__UpperCAmelCase :   Dict    					=  [floats_list((1, x)					)[0] for x in range(5			,							20			,							5					)]
					__UpperCAmelCase :   int    					=  processor(lowercase_					).padding_mask

					__UpperCAmelCase :   Union[str, Any]    					=  np.asarray(floats_list((3, 20)					)					)[:, None, :]
					__UpperCAmelCase :   Tuple    					=  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, 10)					)
					self.assertTrue(decoded_audios[1].shape == (1, 15)					)
					self.assertTrue(decoded_audios[2].shape == (1, 20)					)












"""simple docstring"""


import math




def 					a			(  UpperCamelCase_				:					int		)	->		str:
 if number == 0:
  __A						:							Dict      =						'Zero'
  return words
 else:
  __A						:							List[str]      =						math.logaa(UpperCamelCase_		)
  __A						:							Union[str, Any]      =						digits + 1
  __A						:							List[str]      =						{}
  __A						:							int      =						''
  __A						:							Any      =						'One'
  __A						:							Tuple      =						'Two'
  __A						:							Any      =						'Three'
  __A						:							Any      =						'Four'
  __A						:							Optional[Any]      =						'Five'
  __A						:							List[Any]      =						'Six'
  __A						:							List[Any]      =						'Seven'
  __A						:							Dict      =						'Eight'
  __A						:							Union[str, Any]      =						'Nine'

  __A						:							List[Any]      =						{}
  __A						:							Tuple      =						''
  __A						:							List[Any]      =						'Twenty'
  __A						:							Optional[Any]      =						'Thirty'
  __A						:							Any      =						'Forty'
  __A						:							Optional[int]      =						'Fifty'
  __A						:							Dict      =						'Sixty'
  __A						:							Dict      =						'Seventy'
  __A						:							Optional[Any]      =						'Eighty'
  __A						:							Any      =						'Ninety'

  __A						:							int      =						{}
  __A						:							List[str]      =						'Ten'
  __A						:							Optional[Any]      =						'Eleven'
  __A						:							Dict      =						'Twelve'
  __A						:							Union[str, Any]      =						'Thirteen'
  __A						:							Union[str, Any]      =						'Fourteen'
  __A						:							Dict      =						'Fifteen'
  __A						:							str      =						'Sixteen'
  __A						:							str      =						'Seventeen'
  __A						:							Union[str, Any]      =						'Eighteen'
  __A						:							Union[str, Any]      =						'Nineteen'

  __A						:							Optional[Any]      =						{}
  __A						:							Optional[int]      =						'Hundred,'
  __A						:							Union[str, Any]      =						'Thousand,'
  __A						:							Union[str, Any]      =						'Lakh,'
  __A						:							Union[str, Any]      =						'Crore,'

  __A						:							Optional[Any]      =						number
  __A						:							Optional[Any]      =						''
  __A						:							List[str]      =						0
  __A						:							List[str]      =						int(UpperCamelCase_		)
  while counter < digits:
   __A						:							Any      =						temp_num % 1_0
   if counter % 2 == 0:
    __A						:							Optional[Any]      =						''
    if counter in placevalue and current != 0:
     __A						:							Union[str, Any]      =						placevalue[counter]
    if counter == 2:
     __A						:							Dict      =						singles[current] + addition + words
    elif counter == 0:
     if ((temp_num % 1_0_0) // 1_0) == 1:
      __A						:							Any      =						teens[current] + addition + words
      __A						:							int      =						temp_num // 1_0
      counter += 1
     else:
      __A						:							Optional[Any]      =						singles[current] + addition + words

    else:
     __A						:							str      =						doubles[current] + addition + words

   else:
    if counter == 1:
     if current == 1:
      __A						:							List[Any]      =						teens[number % 1_0] + words
     else:
      __A						:							Union[str, Any]      =						''
      if counter in placevalue:
       __A						:							int      =						placevalue[counter]
      __A						:							Optional[Any]      =						doubles[current] + addition + words
    else:
     __A						:							Any      =						''
     if counter in placevalue:
      if current == 0 and ((temp_num % 1_0_0) // 1_0) == 0:
       __A						:							Optional[int]      =						''
      else:
       __A						:							Optional[int]      =						placevalue[counter]
     if ((temp_num % 1_0_0) // 1_0) == 1:
      __A						:							Dict      =						teens[current] + addition + words
      __A						:							Any      =						temp_num // 1_0
      counter += 1
     else:
      __A						:							List[str]      =						singles[current] + addition + words
   counter += 1
   __A						:							Dict      =						temp_num // 1_0
 return words


if __name__ == "__main__":
   import doctest

   doctest.testmod()





