

'''simple docstring'''






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 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Dict							=			'canine'






  def __init__(      self   :     str					,lowercase__   :     Any=7_6_8					,lowercase__   :     List[str]=1_2					,lowercase__   :     Tuple=1_2					,lowercase__   :     List[Any]=3_0_7_2					,lowercase__   :     List[str]="gelu"					,lowercase__   :     Optional[Any]=0.1					,lowercase__   :     Union[str, Any]=0.1					,lowercase__   :     Dict=1_6_3_8_4					,lowercase__   :     Tuple=1_6					,lowercase__   :     Any=0.0_2					,lowercase__   :     str=1e-1_2					,lowercase__   :     str=0					,lowercase__   :     Tuple=0xe_000					,lowercase__   :     Optional[int]=0xe_001					,lowercase__   :     List[str]=4					,lowercase__   :     List[str]=4					,lowercase__   :     List[Any]=8					,lowercase__   :     Optional[int]=1_6_3_8_4					,lowercase__   :     Union[str, Any]=1_2_8					,**lowercase__   :     List[str]					,):
   super().__init__(pad_token_id=lowercase__					,bos_token_id=lowercase__					,eos_token_id=lowercase__					,**lowercase__			)

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

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








class    _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

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



   '''simple docstring'''



   lowerCamelCase__:      Any			  =n
   lowerCamelCase__:      Tuple			  =[None] * self.n
   lowerCamelCase__:      str			  =0  # index of the first element
   lowerCamelCase__:      Tuple			  =0
   lowerCamelCase__:      Optional[Any]			  =0

 def __len__(self				:   str)       ->int:



   '''simple docstring'''



   return self.size

 def 							SCREAMING_SNAKE_CASE_					(self				:   int)       ->bool:



   '''simple docstring'''



   return self.size == 0

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[str])       ->str:



   '''simple docstring'''



   return False if self.is_empty() else self.array[self.front]

 def 							SCREAMING_SNAKE_CASE_					(self				:   int       , UpperCAmelCase_				:   Optional[int])       ->str:



   '''simple docstring'''



   if self.size >= self.n:
     raise Exception("QUEUE IS FULL")

   lowerCamelCase__:      List[Any]			  =data
   lowerCamelCase__:      Dict			  =(self.rear + 1) % self.n
   self.size += 1
   return self







 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple)       ->Tuple:



   '''simple docstring'''



   if self.size == 0:
     raise Exception("UNDERFLOW")

   lowerCamelCase__:      Optional[Any]			  =self.array[self.front]
   lowerCamelCase__:      Optional[int]			  =None
   lowerCamelCase__:      Dict			  =(self.front + 1) % self.n
   self.size -= 1
   return temp

