


import shutil
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SpeechaTextTokenizer, is_speech_available
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, require_torchaudio
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_speech_to_text import floats_list


if is_speech_available():
  from transformers import SpeechaTextFeatureExtractor, SpeechaTextProcessor


a				:							List[str]					=			get_tests_dir('fixtures/test_sentencepiece.model')

@require_torch
@require_torchaudio
@require_sentencepiece
class      lowerCamelCase	(  unittest.TestCase     ):

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Union[str, Any]	  =      tempfile.mkdtemp()

        snake_case   : Dict	  =      ['''<s>''', '''<pad>''', '''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
        snake_case   : List[str]	  =      dict(zip(a__	,						range(len(a__					)					)					)					)
        snake_case   : Tuple	  =      Path(self.tmpdirname					)
        save_json(a__	,						save_dir / VOCAB_FILES_NAMES['''vocab_file''']					)
        if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
         copyfile(a__	,						save_dir / VOCAB_FILES_NAMES['''spm_file''']					)

        snake_case   : List[str]	  =      SpeechaTextTokenizer.from_pretrained(self.tmpdirname					)
        tokenizer.save_pretrained(self.tmpdirname					)

        snake_case   : Optional[int]	  =      {
            '''feature_size''': 24,
            '''num_mel_bins''': 24,
            '''padding_value''': 0.0,
            '''sampling_rate''': 1_60_00,
            '''return_attention_mask''': False,
            '''do_normalize''': True,
        }
        save_json(a__	,						save_dir / FEATURE_EXTRACTOR_NAME					)

       def 				UpperCAmelCase				(			self	,						**a__					):






        '''simple docstring'''






        return SpeechaTextTokenizer.from_pretrained(self.tmpdirname	,						**a__					)

       def 				UpperCAmelCase				(			self	,						**a__					):






        '''simple docstring'''






        return SpeechaTextFeatureExtractor.from_pretrained(self.tmpdirname	,						**a__					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        shutil.rmtree(self.tmpdirname					)

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Optional[int]	  =      self.get_tokenizer()
        snake_case   : Dict	  =      self.get_feature_extractor()

        snake_case   : str	  =      SpeechaTextProcessor(tokenizer=a__	,						feature_extractor=a__					)

        processor.save_pretrained(self.tmpdirname					)
        snake_case   : Dict	  =      SpeechaTextProcessor.from_pretrained(self.tmpdirname					)

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

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

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Union[str, Any]	  =      SpeechaTextProcessor(
            tokenizer=self.get_tokenizer()	,						feature_extractor=self.get_feature_extractor()					)
        processor.save_pretrained(self.tmpdirname					)

        snake_case   : int	  =      self.get_tokenizer(bos_token='''(BOS)'''	,						eos_token='''(EOS)'''					)
        snake_case   : str	  =      self.get_feature_extractor(do_normalize=a__	,						padding_value=1.0					)

        snake_case   : int	  =      SpeechaTextProcessor.from_pretrained(
            self.tmpdirname	,						bos_token='''(BOS)'''	,						eos_token='''(EOS)'''	,						do_normalize=a__	,						padding_value=1.0					)

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

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

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : str	  =      self.get_feature_extractor()
        snake_case   : Tuple	  =      self.get_tokenizer()

        snake_case   : Optional[int]	  =      SpeechaTextProcessor(tokenizer=a__	,						feature_extractor=a__					)

        snake_case   : List[str]	  =      floats_list((3, 10_00)					)

        snake_case   : Optional[Any]	  =      feature_extractor(a__	,						return_tensors='''np'''					)
        snake_case   : Union[str, Any]	  =      processor(a__	,						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					):






        '''simple docstring'''






        snake_case   : str	  =      self.get_feature_extractor()
        snake_case   : Tuple	  =      self.get_tokenizer()

        snake_case   : List[str]	  =      SpeechaTextProcessor(tokenizer=a__	,						feature_extractor=a__					)

        snake_case   : Optional[int]	  =      '''This is a test string'''

        snake_case   : int	  =      processor(text=a__					)

        snake_case   : Union[str, Any]	  =      tokenizer(a__					)

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

       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Union[str, Any]	  =      self.get_feature_extractor()
        snake_case   : Tuple	  =      self.get_tokenizer()

        snake_case   : Optional[Any]	  =      SpeechaTextProcessor(tokenizer=a__	,						feature_extractor=a__					)

        snake_case   : Dict	  =      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

        snake_case   : Dict	  =      processor.batch_decode(a__					)
        snake_case   : List[str]	  =      tokenizer.batch_decode(a__					)

        self.assertListEqual(a__	,						a__					)



       def 				UpperCAmelCase				(			self					):






        '''simple docstring'''






        snake_case   : Any	  =      self.get_feature_extractor()
        snake_case   : Any	  =      self.get_tokenizer()

        snake_case   : Union[str, Any]	  =      SpeechaTextProcessor(tokenizer=a__	,						feature_extractor=a__					)

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










import math






def    _UpperCAmelCase	(   __lowerCamelCase       )		->str:


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

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

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

  snake_case   : Tuple	  =      {}
  snake_case   : List[Any]	  =      '''Hundred,'''
  snake_case   : Tuple	  =      '''Thousand,'''
  snake_case   : List[Any]	  =      '''Lakh,'''
  snake_case   : Union[str, Any]	  =      '''Crore,'''

  snake_case   : int	  =      number
  snake_case   : List[Any]	  =      ''''''
  snake_case   : Optional[int]	  =      0
  snake_case   : Optional[int]	  =      int(__lowerCamelCase       )
  while counter < digits:
   snake_case   : Optional[Any]	  =      temp_num % 10
   if counter % 2 == 0:
    snake_case   : int	  =      ''''''
    if counter in placevalue and current != 0:
     snake_case   : Any	  =      placevalue[counter]
    if counter == 2:
     snake_case   : str	  =      singles[current] + addition + words
    elif counter == 0:
     if ((temp_num % 100) // 10) == 1:
      snake_case   : Tuple	  =      teens[current] + addition + words
      snake_case   : Optional[int]	  =      temp_num // 10
      counter += 1
     else:
      snake_case   : Union[str, Any]	  =      singles[current] + addition + words

    else:
     snake_case   : List[str]	  =      doubles[current] + addition + words

   else:
    if counter == 1:
     if current == 1:
      snake_case   : str	  =      teens[number % 10] + words
     else:
      snake_case   : Tuple	  =      ''''''
      if counter in placevalue:
       snake_case   : Optional[int]	  =      placevalue[counter]
      snake_case   : List[Any]	  =      doubles[current] + addition + words
    else:
     snake_case   : List[str]	  =      ''''''
     if counter in placevalue:
      if current == 0 and ((temp_num % 100) // 10) == 0:
       snake_case   : Dict	  =      ''''''
      else:
       snake_case   : List[Any]	  =      placevalue[counter]
     if ((temp_num % 100) // 10) == 1:
      snake_case   : int	  =      teens[current] + addition + words
      snake_case   : Dict	  =      temp_num // 10
      counter += 1
     else:
      snake_case   : Optional[int]	  =      singles[current] + addition + words
   counter += 1
   snake_case   : Optional[int]	  =      temp_num // 10
 return words


if __name__ == "__main__":
  import doctest

  doctest.testmod()






