






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


lowerCAmelCase_           = logging.get_logger(__name__)

lowerCAmelCase_           = {
    '''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      UpperCamelCase (				__a ):







		"""simple docstring"""



		snake_case    =   '''canine'''
		def __init__(  self		:       Any						,_SCREAMING_SNAKE_CASE		:       List[str]=7_6_8						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=1_2						,_SCREAMING_SNAKE_CASE		:       Dict=1_2						,_SCREAMING_SNAKE_CASE		:       int=3_0_7_2						,_SCREAMING_SNAKE_CASE		:       Tuple="gelu"						,_SCREAMING_SNAKE_CASE		:       Dict=0.1						,_SCREAMING_SNAKE_CASE		:       int=0.1						,_SCREAMING_SNAKE_CASE		:       Tuple=1_6_3_8_4						,_SCREAMING_SNAKE_CASE		:       Tuple=1_6						,_SCREAMING_SNAKE_CASE		:       Any=0.02						,_SCREAMING_SNAKE_CASE		:       Tuple=1E-12						,_SCREAMING_SNAKE_CASE		:       List[Any]=0						,_SCREAMING_SNAKE_CASE		:       Union[str, Any]=0xe000						,_SCREAMING_SNAKE_CASE		:       str=0xe001						,_SCREAMING_SNAKE_CASE		:       Optional[int]=4						,_SCREAMING_SNAKE_CASE		:       List[Any]=4						,_SCREAMING_SNAKE_CASE		:       Optional[Any]=8						,_SCREAMING_SNAKE_CASE		:       Tuple=1_6_3_8_4						,_SCREAMING_SNAKE_CASE		:       Any=1_2_8						,**_SCREAMING_SNAKE_CASE		:       Tuple						,)    ->   Tuple:


						'''simple docstring'''
						super().__init__(pad_token_id=snake_case__						,bos_token_id=snake_case__						,eos_token_id=snake_case__						,**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














from collections import deque

from .hash_table import HashTable
class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		def __init__(  self		:       Any						,*_SCREAMING_SNAKE_CASE		:       Optional[int]						,**_SCREAMING_SNAKE_CASE		:       Optional[Any]		)    ->   int:


						'''simple docstring'''
						super().__init__(*_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Tuple		)    ->   List[str]:


						'''simple docstring'''
						A	 =      deque([]		) if self.values[key] is None else self.values[key]
						self.values[key].appendleft(_SCREAMING_SNAKE_CASE		)
						A	 =      self.values[key]
		def       A(  self		:       Optional[Any]		)    ->   Union[str, Any]:


						'''simple docstring'''
						return (
						    sum(self.charge_factor - len(_SCREAMING_SNAKE_CASE		) for slot in self.values		)
						    / self.size_table
						    * self.charge_factor
						)







		def       A(  self		:       Dict						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       str=None		)    ->   Union[str, Any]:


						'''simple docstring'''
						if not (
						    len(self.values[key]		) == self.charge_factor and self.values.count(_SCREAMING_SNAKE_CASE		) == 0
						):
										return key
						return super()._collision_resolution(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)





