


"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase				=						logging.get_logger(__name__)

UpperCAmelCase				=						{
    """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 	lowercase__				(					A_				):
   __UpperCAmelCase							       =					'''realm'''





   def __init__(							self      ,   SCREAMING_SNAKE_CASE=3_0522      ,   SCREAMING_SNAKE_CASE=768      ,   SCREAMING_SNAKE_CASE=128      ,   SCREAMING_SNAKE_CASE=12      ,   SCREAMING_SNAKE_CASE=12      ,   SCREAMING_SNAKE_CASE=8      ,   SCREAMING_SNAKE_CASE=3072      ,   SCREAMING_SNAKE_CASE="gelu_new"      ,   SCREAMING_SNAKE_CASE=0.1      ,   SCREAMING_SNAKE_CASE=0.1      ,   SCREAMING_SNAKE_CASE=512      ,   SCREAMING_SNAKE_CASE=2      ,   SCREAMING_SNAKE_CASE=0.02      ,   SCREAMING_SNAKE_CASE=1e-1_2      ,   SCREAMING_SNAKE_CASE=256      ,   SCREAMING_SNAKE_CASE=10      ,   SCREAMING_SNAKE_CASE=1e-3      ,   SCREAMING_SNAKE_CASE=5      ,   SCREAMING_SNAKE_CASE=320      ,   SCREAMING_SNAKE_CASE=1335_3718      ,   SCREAMING_SNAKE_CASE=5000      ,   SCREAMING_SNAKE_CASE=1      ,   SCREAMING_SNAKE_CASE=0      ,   SCREAMING_SNAKE_CASE=2      ,   **SCREAMING_SNAKE_CASE      ,   )  ->  str:
      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
      _lowerCamelCase	:					int   =		vocab_size
      _lowerCamelCase	:					Dict   =		max_position_embeddings
      _lowerCamelCase	:					List[Any]   =		hidden_size
      _lowerCamelCase	:					Optional[int]   =		retriever_proj_size
      _lowerCamelCase	:					Optional[int]   =		num_hidden_layers
      _lowerCamelCase	:					str   =		num_attention_heads
      _lowerCamelCase	:					Optional[int]   =		num_candidates
      _lowerCamelCase	:					Tuple   =		intermediate_size
      _lowerCamelCase	:					Dict   =		hidden_act
      _lowerCamelCase	:					List[Any]   =		hidden_dropout_prob
      _lowerCamelCase	:					Optional[Any]   =		attention_probs_dropout_prob
      _lowerCamelCase	:					List[Any]   =		initializer_range
      _lowerCamelCase	:					Optional[Any]   =		type_vocab_size
      _lowerCamelCase	:					str   =		layer_norm_eps

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

      # Retrieval config
      _lowerCamelCase	:					str   =		num_block_records
      _lowerCamelCase	:					Tuple   =		searcher_beam_size









from __future__ import annotations

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

lowercase    				=   TypeVar("T")




class 					UpperCamelCase_ (     Generic[T]							):



	'''simple docstring'''




	lowerCAmelCase						=					42  # Cache store of keys
	lowerCAmelCase						=					42  # References of the keys in cache
	lowerCAmelCase						=					1_0  # Maximum capacity of cache




	def __init__(			self			,     a   )			->       None:
								snake_case_           =				deque()
								snake_case_           =				set()
								if not n:
															snake_case_           =				sys.maxsize
								elif n < 0:
															raise ValueError('n should be an integer greater than 0.'   )
								else:
															snake_case_           =				n




	def 				_UpperCamelCase     (			self			,     a   )			->       None:
								if x not in self.key_reference:
															if len(self.dq_store   ) == LRUCache._MAX_CAPACITY:
																						snake_case_           =				self.dq_store.pop()
																						self.key_reference.remove(a   )
								else:
															self.dq_store.remove(a   )

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




	def 				_UpperCamelCase     (			self   )			->       None:
								for k in self.dq_store:
															print(a   )






	def __repr__(			self   )			->       str:
								return F'''LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store   )}'''


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	lowercase    				=   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]"





