




'''simple docstring'''







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


_lowerCamelCase							:						Dict								=  logging.get_logger(__name__)





class      lowerCamelCase_							(       UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__    = """speech-encoder-decoder"""
					lowercase__    = True






					def __init__(    self,  **__UpperCamelCase ):
							super().__init__(**__UpperCamelCase )
							if "encoder" not in kwargs or "decoder" not in kwargs:
									raise ValueError(
									    f'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
									    f''' `decoder` sub-configurations are passed, but only {kwargs}''' )

							_snake_case	       =       kwargs.pop("encoder" )
							_snake_case	       =       encoder_config.pop("model_type" )
							_snake_case	       =       kwargs.pop("decoder" )
							_snake_case	       =       decoder_config.pop("model_type" )

							_snake_case	       =       AutoConfig.for_model(__UpperCamelCase,  **__UpperCamelCase )
							_snake_case	       =       AutoConfig.for_model(__UpperCamelCase,  **__UpperCamelCase )
							_snake_case	       =       True






					@classmethod
					def 				__SCREAMING_SNAKE_CASE	(    cls,  __UpperCamelCase,  __UpperCamelCase,  **__UpperCamelCase ):
							logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config" )
							_snake_case	       =       True
							_snake_case	       =       True

							return cls(encoder=encoder_config.to_dict(),  decoder=decoder_config.to_dict(),  **__UpperCamelCase )






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							_snake_case	       =       copy.deepcopy(self.__dict__ )
							_snake_case	       =       self.encoder.to_dict()
							_snake_case	       =       self.decoder.to_dict()
							_snake_case	       =       self.__class__.model_type
							return output











'''simple docstring'''







from functools import lru_cache






@lru_cache
def 		_lowercase		(	lowercase_  ):



		'''simple docstring'''







		if not isinstance(lowercase_						,							lowercase_  ):
				raise TypeError("k must be an integer."  )
		if k < 0:
				raise ValueError("k integer must be greater or equal to zero."  )
		if k == 0:
				return 0
		elif k == 1:
				return 1
		else:
				return fibonacci(k - 1  ) + fibonacci(k - 2  )






def 		_lowercase		(	lowercase_						,							lowercase_  ):



		'''simple docstring'''







		_snake_case	       =       len(lowercase_  )
		# Find m such that F_m >= n where F_i is the i_th fibonacci number.
		_snake_case	       =       0
		while True:
				if fibonacci(lowercase_  ) >= len_list:
						_snake_case	       =       i
						break
				i += 1
		_snake_case	       =       0
		while fibb_k > 0:
				_snake_case	       =       min(
				    offset + fibonacci(fibb_k - 1  )						,							len_list - 1  )  # Prevent out of range
				_snake_case	       =       arr[index_k]
				if item_k_1 == val:
						return index_k
				elif val < item_k_1:
						fibb_k -= 1
				elif val > item_k_1:
						offset += fibonacci(fibb_k - 1  )
						fibb_k -= 2
		else:
				return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()





