






"""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 :    int      =			random.Random()




def 					a			(  UpperCamelCase_				:					Any  ,						UpperCamelCase_				:					List[str]=1.0  ,						UpperCamelCase_				:					str=None  ,						UpperCamelCase_				:					Tuple=None		)	->		Optional[Any]:
 if rng is None:
  __A						:							Optional[Any]      =						global_rng

 __A						:							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	:		List[str] )		->				Union[str, Any]:
   __A						:							List[Any]      =						'facebook/musicgen-small'
   __A						:							Tuple      =						tempfile.mkdtemp()



  def     A_					(self	:		Tuple					,      **lowercase_	:		Dict )		->				int:
   return TaTokenizer.from_pretrained(self.checkpoint					,      **lowercase_ )



  def     A_					(self	:		List[str]					,      **lowercase_	:		Union[str, Any] )		->				Dict:
   return EncodecFeatureExtractor.from_pretrained(self.checkpoint					,      **lowercase_ )



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



  def     A_					(self	:		int )		->				str:
   __A						:							Optional[Any]      =						self.get_tokenizer()
   __A						:							List[Any]      =						self.get_feature_extractor()

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

   processor.save_pretrained(self.tmpdirname )
   __A						:							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	:		Optional[int] )		->				str:
   __A						:							Dict      =						MusicgenProcessor(tokenizer=self.get_tokenizer()					,      feature_extractor=self.get_feature_extractor() )
   processor.save_pretrained(self.tmpdirname )

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

   __A						:							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	:		Any )		->				int:
   __A						:							int      =						self.get_feature_extractor()
   __A						:							int      =						self.get_tokenizer()

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

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

   __A						:							List[Any]      =						feature_extractor(lowercase_					,      return_tensors='np' )
   __A						:							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	:		Optional[int] )		->				int:
   __A						:							Union[str, Any]      =						self.get_feature_extractor()
   __A						:							int      =						self.get_tokenizer()

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

   __A						:							Tuple      =						'This is a test string'

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

   __A						:							Optional[Any]      =						tokenizer(lowercase_ )

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



  def     A_					(self	:		Tuple )		->				Union[str, Any]:
   __A						:							Optional[Any]      =						self.get_feature_extractor()
   __A						:							List[str]      =						self.get_tokenizer()

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

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

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

   self.assertListEqual(lowercase_					,      lowercase_ )



  def     A_					(self	:		List[Any] )		->				List[str]:
   __A						:							List[Any]      =						self.get_feature_extractor()
   __A						:							Tuple      =						self.get_tokenizer()

   __A						:							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 )		->				Any:
   __A						:							str      =						self.get_feature_extractor(padding_side='left' )
   __A						:							str      =						self.get_tokenizer()

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

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

   __A						:							Union[str, Any]      =						np.asarray(floats_list((3, 20) ) )[:, None, :]
   __A						:							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()





