






from typing import Dict

from .base import GenericTensor, Pipeline




class 					UpperCamelCase_ (     snake_case_							):



	'''simple docstring'''




	def 				_UpperCamelCase     (			self			,     a=None			,     a=None			,     a=None			,     **a   )			->       List[str]:
								if tokenize_kwargs is None:
															snake_case_           =				{}

								if truncation is not None:
															if "truncation" in tokenize_kwargs:
																						raise ValueError(
																						    'truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'   )
															snake_case_           =				truncation

								snake_case_           =				tokenize_kwargs

								snake_case_           =				{}
								if return_tensors is not None:
															snake_case_           =				return_tensors

								return preprocess_params, {}, postprocess_params




	def 				_UpperCamelCase     (			self			,     a			,     **a   )			->       Dict[str, GenericTensor]:
								snake_case_           =				self.framework
								snake_case_           =				self.tokenizer(a			,     return_tensors=a			,     **a   )
								return model_inputs




	def 				_UpperCamelCase     (			self			,     a   )			->       Optional[int]:
								snake_case_           =				self.model(**a   )
								return model_outputs




	def 				_UpperCamelCase     (			self			,     a			,     a=False   )			->       Tuple:
								# [0] is the first available tensor, logits or last_hidden_state.
								if return_tensors:
															return model_outputs[0]
								if self.framework == "pt":
															return model_outputs[0].tolist()
								elif self.framework == "tf":
															return model_outputs[0].numpy().tolist()






	def __call__(			self			,     *a			,     **a   )			->       Union[str, Any]:
								return super().__call__(*a			,     **a   )













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]"





