






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


lowerCamelCase	:							str				=logging.get_logger(__name__)

lowerCamelCase	:							Optional[int]				={
    '''google/realm-cc-news-pretrained-embedder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-encoder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-scorer''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-openqa''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'''
    ),
    '''google/realm-orqa-nq-openqa''': '''https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-nq-reader''': '''https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json''',
    '''google/realm-orqa-wq-openqa''': '''https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-wq-reader''': '''https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json''',
    # See all REALM models at https://huggingface.co/models?filter=realm
}





class 			__a  (    A__       ):
 _lowerCAmelCase       :       Any        = '''realm'''







 def __init__(		self					:   Optional[int]							,   SCREAMING_SNAKE_CASE					:   Dict=3_05_22							,   SCREAMING_SNAKE_CASE					:   Dict=7_68							,   SCREAMING_SNAKE_CASE					:   Tuple=1_28							,   SCREAMING_SNAKE_CASE					:   Any=12							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=12							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=8							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=30_72							,   SCREAMING_SNAKE_CASE					:   Any="gelu_new"							,   SCREAMING_SNAKE_CASE					:   Any=0.1							,   SCREAMING_SNAKE_CASE					:   int=0.1							,   SCREAMING_SNAKE_CASE					:   str=5_12							,   SCREAMING_SNAKE_CASE					:   Tuple=2							,   SCREAMING_SNAKE_CASE					:   List[Any]=0.0_2							,   SCREAMING_SNAKE_CASE					:   Optional[int]=1e-1_2							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=2_56							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=10							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=1e-3							,   SCREAMING_SNAKE_CASE					:   str=5							,   SCREAMING_SNAKE_CASE					:   Any=3_20							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=13_35_37_18							,   SCREAMING_SNAKE_CASE					:   str=50_00							,   SCREAMING_SNAKE_CASE					:   Dict=1							,   SCREAMING_SNAKE_CASE					:   Optional[int]=0							,   SCREAMING_SNAKE_CASE					:   Optional[int]=2							,   **SCREAMING_SNAKE_CASE					:   Tuple							,   ):


      '''simple docstring'''






      super().__init__(pad_token_id=SCREAMING_SNAKE_CASE							,   bos_token_id=SCREAMING_SNAKE_CASE							,   eos_token_id=SCREAMING_SNAKE_CASE							,   **SCREAMING_SNAKE_CASE						)

      # Common config
      UpperCamelCase__			:   Union[str, Any]       				=  vocab_size
      UpperCamelCase__			:   Optional[Any]       				=  max_position_embeddings
      UpperCamelCase__			:   Tuple       				=  hidden_size
      UpperCamelCase__			:   Dict       				=  retriever_proj_size
      UpperCamelCase__			:   Dict       				=  num_hidden_layers
      UpperCamelCase__			:   str       				=  num_attention_heads
      UpperCamelCase__			:   Dict       				=  num_candidates
      UpperCamelCase__			:   List[Any]       				=  intermediate_size
      UpperCamelCase__			:   Optional[int]       				=  hidden_act
      UpperCamelCase__			:   Optional[Any]       				=  hidden_dropout_prob
      UpperCamelCase__			:   Dict       				=  attention_probs_dropout_prob
      UpperCamelCase__			:   List[str]       				=  initializer_range
      UpperCamelCase__			:   Tuple       				=  type_vocab_size
      UpperCamelCase__			:   List[str]       				=  layer_norm_eps

      # Reader config
      UpperCamelCase__			:   int       				=  span_hidden_size
      UpperCamelCase__			:   Any       				=  max_span_width
      UpperCamelCase__			:   int       				=  reader_layer_norm_eps
      UpperCamelCase__			:   Union[str, Any]       				=  reader_beam_size
      UpperCamelCase__			:   Any       				=  reader_seq_len

      # Retrieval config
      UpperCamelCase__			:   int       				=  num_block_records
      UpperCamelCase__			:   List[str]       				=  searcher_beam_size







from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

lowerCamelCase	:							int				=TypeVar('''T''')





class 			__a  (    Generic[T]       ):
 _lowerCAmelCase       :       deque[T]  # Cache store of keys
 _lowerCAmelCase       :       set[T]  # References of the keys in cache
 _lowerCAmelCase       :       int        = 1_0  # Maximum capacity of cache







 def __init__(		self					:   List[str]							,   SCREAMING_SNAKE_CASE					:   int						):


      '''simple docstring'''






      UpperCamelCase__			:   Tuple       				=  deque()
      UpperCamelCase__			:   Optional[int]       				=  set()
      if not n:
           UpperCamelCase__			:   Tuple       				=  sys.maxsize
      elif n < 0:
           raise ValueError("n should be an integer greater than 0."						)
      else:
           UpperCamelCase__			:   Dict       				=  n







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   T						):


      '''simple docstring'''






      if x not in self.key_reference:
           if len(self.dq_store						) == LRUCache._MAX_CAPACITY:
                UpperCamelCase__			:   int       				=  self.dq_store.pop()
                self.key_reference.remove(SCREAMING_SNAKE_CASE						)
      else:
           self.dq_store.remove(SCREAMING_SNAKE_CASE						)

      self.dq_store.appendleft(SCREAMING_SNAKE_CASE						)
      self.key_reference.add(SCREAMING_SNAKE_CASE						)







 def 					__lowercase					(		self					:   Dict						):


      '''simple docstring'''






      for k in self.dq_store:
           print(SCREAMING_SNAKE_CASE						)







 def __repr__(		self					:   Union[str, Any]						):


      '''simple docstring'''






      return F'LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store						)}'


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCamelCase	:							LRUCache[str | int]				=LRUCache(4)
 lru_cache.refer('''A''')
 lru_cache.refer(2)
 lru_cache.refer(3)
 lru_cache.refer('''A''')
 lru_cache.refer(4)
 lru_cache.refer(5)
 lru_cache.display()

 print(lru_cache)
 assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"