from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
SCREAMING_SNAKE_CASE			:						Any				  =		10



def 	__A		(      _A				,					_A				,					_A				,					_A       ):



 """simple docstring"""


 for i in range(_A				,					_A       ):
  if array[i] == target:
   return i
 return -1



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 __a							=	0
 __a							=	len(_A       )
 while left <= right:
  if right - left < precision:
   return lin_search(_A				,					_A				,					_A				,					_A       )

  __a							=	(left + right) // 3 + 1
  __a							=	2 * (left + right) // 3 + 1

  if array[one_third] == target:
   return one_third
  elif array[two_third] == target:
   return two_third

  elif target < array[one_third]:
   __a							=	one_third - 1
  elif array[two_third] < target:
   __a							=	two_third + 1

  else:
   __a							=	one_third + 1
   __a							=	two_third - 1
 else:
  return -1



def 	__A		(      _A				,					_A				,					_A				,					_A       ):



 """simple docstring"""


 if left < right:
  if right - left < precision:
   return lin_search(_A				,					_A				,					_A				,					_A       )
  __a							=	(left + right) // 3 + 1
  __a							=	2 * (left + right) // 3 + 1

  if array[one_third] == target:
   return one_third
  elif array[two_third] == target:
   return two_third

  elif target < array[one_third]:
   return rec_ternary_search(_A				,					one_third - 1				,					_A				,					_A       )
  elif array[two_third] < target:
   return rec_ternary_search(two_third + 1				,					_A				,					_A				,					_A       )
  else:
   return rec_ternary_search(one_third + 1				,					two_third - 1				,					_A				,					_A       )
 else:
  return -1


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  SCREAMING_SNAKE_CASE			:						Any				  =		input("""Enter numbers separated by comma:\n""").strip()
  SCREAMING_SNAKE_CASE			:						Optional[int]				  =		[int(item.strip()) for item in user_input.split(""",""")]
  assert collection == sorted(collection), f"List must be ordered.\n{collection}."
  SCREAMING_SNAKE_CASE			:						int				  =		int(input("""Enter the number to be found in the list:\n""").strip())
  SCREAMING_SNAKE_CASE			:						List[Any]				  =		ite_ternary_search(collection, target)
  SCREAMING_SNAKE_CASE			:						Optional[int]				  =		rec_ternary_search(0, len(collection) - 1, collection, target)
  if resulta != -1:
    print(f'''Iterative search: {target} found at positions: {resulta}''')
    print(f'''Recursive search: {target} found at positions: {resulta}''')
  else:
    print("""Not found""")



from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE			:						int				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						Dict				  =		{
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}
class  A_			(							a_			):
  _SCREAMING_SNAKE_CASE     					=      """canine"""

  def __init__(		self			:   int  ,				__SCREAMING_SNAKE_CASE			:   List[str]=7_68  ,				__SCREAMING_SNAKE_CASE			:   Any=12  ,				__SCREAMING_SNAKE_CASE			:   str=12  ,				__SCREAMING_SNAKE_CASE			:   int=30_72  ,				__SCREAMING_SNAKE_CASE			:   int="gelu"  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=0.1  ,				__SCREAMING_SNAKE_CASE			:   List[str]=0.1  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=1_63_84  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=16  ,				__SCREAMING_SNAKE_CASE			:   int=0.02  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=1E-12  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=0  ,				__SCREAMING_SNAKE_CASE			:   List[str]=0xE000  ,				__SCREAMING_SNAKE_CASE			:   int=0xE001  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]=4  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=4  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=8  ,				__SCREAMING_SNAKE_CASE			:   List[str]=1_63_84  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=1_28  ,				**__SCREAMING_SNAKE_CASE			:   List[str]  ,				):
   super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE  ,				bos_token_id=__SCREAMING_SNAKE_CASE  ,				eos_token_id=__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)

   __a							=	max_position_embeddings
   __a							=	hidden_size
   __a							=	num_hidden_layers
   __a							=	num_attention_heads
   __a							=	intermediate_size
   __a							=	hidden_act
   __a							=	hidden_dropout_prob
   __a							=	attention_probs_dropout_prob
   __a							=	initializer_range
   __a							=	type_vocab_size
   __a							=	layer_norm_eps

   # Character config:
   __a							=	downsampling_rate
   __a							=	upsampling_kernel_size
   __a							=	num_hash_functions
   __a							=	num_hash_buckets
   __a							=	local_transformer_stride


