
"""simple docstring"""






import math




def __magic_name__  (							_lowerCamelCase:		int )				->	str:

	'''simple docstring'''




	if number == 0:
		lowerCAmelCase				       =     '''Zero'''
		return words
	else:
		lowerCAmelCase				       =     math.logaa(_lowerCamelCase )
		lowerCAmelCase				       =     digits + 1
		lowerCAmelCase				       =     {}
		lowerCAmelCase				       =     ''''''
		lowerCAmelCase				       =     '''One'''
		lowerCAmelCase				       =     '''Two'''
		lowerCAmelCase				       =     '''Three'''
		lowerCAmelCase				       =     '''Four'''
		lowerCAmelCase				       =     '''Five'''
		lowerCAmelCase				       =     '''Six'''
		lowerCAmelCase				       =     '''Seven'''
		lowerCAmelCase				       =     '''Eight'''
		lowerCAmelCase				       =     '''Nine'''

		lowerCAmelCase				       =     {}
		lowerCAmelCase				       =     ''''''
		lowerCAmelCase				       =     '''Twenty'''
		lowerCAmelCase				       =     '''Thirty'''
		lowerCAmelCase				       =     '''Forty'''
		lowerCAmelCase				       =     '''Fifty'''
		lowerCAmelCase				       =     '''Sixty'''
		lowerCAmelCase				       =     '''Seventy'''
		lowerCAmelCase				       =     '''Eighty'''
		lowerCAmelCase				       =     '''Ninety'''

		lowerCAmelCase				       =     {}
		lowerCAmelCase				       =     '''Ten'''
		lowerCAmelCase				       =     '''Eleven'''
		lowerCAmelCase				       =     '''Twelve'''
		lowerCAmelCase				       =     '''Thirteen'''
		lowerCAmelCase				       =     '''Fourteen'''
		lowerCAmelCase				       =     '''Fifteen'''
		lowerCAmelCase				       =     '''Sixteen'''
		lowerCAmelCase				       =     '''Seventeen'''
		lowerCAmelCase				       =     '''Eighteen'''
		lowerCAmelCase				       =     '''Nineteen'''

		lowerCAmelCase				       =     {}
		lowerCAmelCase				       =     '''Hundred,'''
		lowerCAmelCase				       =     '''Thousand,'''
		lowerCAmelCase				       =     '''Lakh,'''
		lowerCAmelCase				       =     '''Crore,'''

		lowerCAmelCase				       =     number
		lowerCAmelCase				       =     ''''''
		lowerCAmelCase				       =     0
		lowerCAmelCase				       =     int(_lowerCamelCase )
		while counter < digits:
			lowerCAmelCase				       =     temp_num % 10
			if counter % 2 == 0:
				lowerCAmelCase				       =     ''''''
				if counter in placevalue and current != 0:
					lowerCAmelCase				       =     placevalue[counter]
				if counter == 2:
					lowerCAmelCase				       =     singles[current] + addition + words
				elif counter == 0:
					if ((temp_num % 100) // 10) == 1:
						lowerCAmelCase				       =     teens[current] + addition + words
						lowerCAmelCase				       =     temp_num // 10
						counter += 1
					else:
						lowerCAmelCase				       =     singles[current] + addition + words

				else:
					lowerCAmelCase				       =     doubles[current] + addition + words

			else:
				if counter == 1:
					if current == 1:
						lowerCAmelCase				       =     teens[number % 10] + words
					else:
						lowerCAmelCase				       =     ''''''
						if counter in placevalue:
							lowerCAmelCase				       =     placevalue[counter]
						lowerCAmelCase				       =     doubles[current] + addition + words
				else:
					lowerCAmelCase				       =     ''''''
					if counter in placevalue:
						if current == 0 and ((temp_num % 100) // 10) == 0:
							lowerCAmelCase				       =     ''''''
						else:
							lowerCAmelCase				       =     placevalue[counter]
					if ((temp_num % 100) // 10) == 1:
						lowerCAmelCase				       =     teens[current] + addition + words
						lowerCAmelCase				       =     temp_num // 10
						counter += 1
					else:
						lowerCAmelCase				       =     singles[current] + addition + words
			counter += 1
			lowerCAmelCase				       =     temp_num // 10
	return words


if __name__ == "__main__":
					import doctest

					doctest.testmod()




"""simple docstring"""






import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin



class  lowercase				(   lowercase__		):
			lowercase			     =    '''AutoFeatureExtractor'''
			lowercase			     =    '''Speech2Text2Tokenizer'''






			def __init__(self     :  Tuple			,SCREAMING_SNAKE_CASE_     :  Union[str, Any]			,SCREAMING_SNAKE_CASE_     :  Optional[int] )					->  int:





				"""simple docstring"""


				super().__init__(SCREAMING_SNAKE_CASE_			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     self.feature_extractor
				lowerCAmelCase				       =     False






			def __call__(self     :  Tuple			,*SCREAMING_SNAKE_CASE_     :  Optional[Any]			,**SCREAMING_SNAKE_CASE_     :  Dict )					->  Any:





				"""simple docstring"""


				if self._in_target_context_manager:
					return self.current_processor(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )

				if "raw_speech" in kwargs:
					warnings.warn('''Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.''' )
					lowerCAmelCase				       =     kwargs.pop('''raw_speech''' )
				else:
					lowerCAmelCase				       =     kwargs.pop('''audio'''			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     kwargs.pop('''sampling_rate'''			,SCREAMING_SNAKE_CASE_ )
				lowerCAmelCase				       =     kwargs.pop('''text'''			,SCREAMING_SNAKE_CASE_ )
				if len(SCREAMING_SNAKE_CASE_ ) > 0:
					lowerCAmelCase				       =     args[0]
					lowerCAmelCase				       =     args[1:]

				if audio is None and text is None:
					raise ValueError('''You need to specify either an `audio` or `text` input to process.''' )

				if audio is not None:
					lowerCAmelCase				       =     self.feature_extractor(SCREAMING_SNAKE_CASE_			,*SCREAMING_SNAKE_CASE_			,sampling_rate=SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )
				if text is not None:
					lowerCAmelCase				       =     self.tokenizer(SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )

				if text is None:
					return inputs
				elif audio is None:
					return encodings
				else:
					lowerCAmelCase				       =     encodings['''input_ids''']
					return inputs






			def 				UpperCAmelCase       (self     :  Optional[int]			,*SCREAMING_SNAKE_CASE_     :  Any			,**SCREAMING_SNAKE_CASE_     :  List[Any] )					->  str:





				"""simple docstring"""


				return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )






			def 				UpperCAmelCase       (self     :  Optional[int]			,*SCREAMING_SNAKE_CASE_     :  int			,**SCREAMING_SNAKE_CASE_     :  Any )					->  Dict:





				"""simple docstring"""


				return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_			,**SCREAMING_SNAKE_CASE_ )






			@contextmanager
			def 				UpperCAmelCase       (self     :  Optional[int] )					->  Union[str, Any]:





				"""simple docstring"""


				warnings.warn(
				    '''`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '''
				    '''labels by using the argument `text` of the regular `__call__` method (either in the same call as '''
				    '''your audio inputs, or in a separate call.''' )
				lowerCAmelCase				       =     True
				lowerCAmelCase				       =     self.tokenizer
				yield
				lowerCAmelCase				       =     self.feature_extractor
				lowerCAmelCase				       =     False


