

from .number_theory.prime_numbers import next_prime





class    __UpperCAmelCase	:



   def __init__(				self				:	Optional[int],						__A				:	int,						__A				:	int | None = None,						__A				:	float | None = None,						):
     UpperCAmelCase			:				Union[str, Any]										=					size_table
     UpperCAmelCase			:				Tuple										=					[None] * self.size_table
     UpperCAmelCase			:				Any										=					0.7_5 if lim_charge is None else lim_charge
     UpperCAmelCase			:				List[Any]										=					1 if charge_factor is None else charge_factor
     UpperCAmelCase			:				Dict										=					[]
     UpperCAmelCase			:				Optional[Any]										=					{}



   def 			__magic_name__       (				self				:	List[Any]		):
     return self._keys



   def 			__magic_name__       (				self				:	Any		):
     return sum(1 for slot in self.values if slot is not None		) / (
         self.size_table * self.charge_factor
     )



   def 			__magic_name__       (				self				:	Optional[Any],						__A				:	List[Any]		):
     return key % self.size_table



   def 			__magic_name__       (				self				:	Union[str, Any],						__A				:	Dict		):
     print(F'''step {step_ord}'''		)
     print(list(range(len(self.values		)		)		)		)
     print(self.values		)



   def 			__magic_name__       (				self				:	List[str],						__A				:	int		):
     UpperCAmelCase			:				List[str]										=					1
     UpperCAmelCase			:				Optional[Any]										=					values
     for value in values:
       self.insert_data(__A		)
       self._step_by_step(__A		)
       i += 1



   def 			__magic_name__       (				self				:	Union[str, Any],						__A				:	str,						__A				:	Any		):
     UpperCAmelCase			:				Dict										=					data
     UpperCAmelCase			:				Union[str, Any]										=					data



   def 			__magic_name__       (				self				:	List[Any],						__A				:	Optional[Any],						__A				:	Dict=None		):
     UpperCAmelCase			:				Optional[int]										=					self.hash_function(key + 1		)

     while self.values[new_key] is not None and self.values[new_key] != key:
       if self.values.count(__A		) > 0:
         UpperCAmelCase			:				Union[str, Any]										=					self.hash_function(new_key + 1		)
       else:
         UpperCAmelCase			:				int										=					None
         break

     return new_key



   def 			__magic_name__       (				self				:	Any		):
     UpperCAmelCase			:				List[Any]										=					[value for value in self.values if value is not None]
     UpperCAmelCase			:				Optional[int]										=					next_prime(self.size_table,						factor=2		)
     self._keys.clear()
     UpperCAmelCase			:				Dict										=					[None] * self.size_table  # hell's pointers D: don't DRY ;/
     for value in survivor_values:
       self.insert_data(__A		)





   def 			__magic_name__       (				self				:	int,						__A				:	Tuple		):
     UpperCAmelCase			:				int										=					self.hash_function(__A		)

     if self.values[key] is None:
       self._set_value(__A,						__A		)

     elif self.values[key] == data:
       pass

     else:
       UpperCAmelCase			:				Optional[Any]										=					self._collision_resolution(__A,						__A		)
       if collision_resolution is not None:
         self._set_value(__A,						__A		)
       else:
         self.rehashing()
         self.insert_data(__A		)













"""simple docstring"""







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


__a							:						Union[str, Any]   							=			logging.get_logger(__name__)

__a							:						Optional[Any]   							=			{
    'tau/splinter-base': 'https://huggingface.co/tau/splinter-base/resolve/main/config.json',
    'tau/splinter-base-qass': 'https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json',
    'tau/splinter-large': 'https://huggingface.co/tau/splinter-large/resolve/main/config.json',
    'tau/splinter-large-qass': 'https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}







class 							_SCREAMING_SNAKE_CASE    (	__snake_case				):





							"""simple docstring"""





							_SCREAMING_SNAKE_CASE     ='splinter'




							def __init__( self:  Dict					,		__A:  List[Any]=30522					,		__A:  str=768					,		__A:  int=12					,		__A:  str=12					,		__A:  Tuple=3072					,		__A:  Dict="gelu"					,		__A:  Optional[int]=0.1					,		__A:  List[str]=0.1					,		__A:  str=512					,		__A:  List[Any]=2					,		__A:  Any=0.0_2					,		__A:  Any=1e-12					,		__A:  Tuple=True					,		__A:  List[Any]=0					,		__A:  List[str]=104					,		**__A:  Union[str, Any]					,		):

												'''simple docstring'''

												super().__init__(pad_token_id=__A					,		**__A     )

												a__ 							=	vocab_size
												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
												a__ 							=	use_cache
												a__ 							=	question_token_id


