






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase    				=   logging.get_logger(__name__)

lowercase    				=   {
    "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/config.json",
    "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/config.json",
    "xlm-roberta-large-finetuned-conll02-dutch": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll02-spanish": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-english": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"
    ),
    "xlm-roberta-large-finetuned-conll03-german": (
        "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"
    ),
}




class 					UpperCamelCase_ (     snake_case_							):



	'''simple docstring'''




	lowerCAmelCase						=					'''xlm-roberta'''




	def __init__(			self			,     a=3_05_22			,     a=7_68			,     a=12			,     a=12			,     a=30_72			,     a="gelu"			,     a=0.1			,     a=0.1			,     a=5_12			,     a=2			,     a=0.02			,     a=1E-12			,     a=1			,     a=0			,     a=2			,     a="absolute"			,     a=True			,     a=None			,     **a			,     )			->       Dict:
								super().__init__(pad_token_id=a			,     bos_token_id=a			,     eos_token_id=a			,     **a   )

								snake_case_           =				vocab_size
								snake_case_           =				hidden_size
								snake_case_           =				num_hidden_layers
								snake_case_           =				num_attention_heads
								snake_case_           =				hidden_act
								snake_case_           =				intermediate_size
								snake_case_           =				hidden_dropout_prob
								snake_case_           =				attention_probs_dropout_prob
								snake_case_           =				max_position_embeddings
								snake_case_           =				type_vocab_size
								snake_case_           =				initializer_range
								snake_case_           =				layer_norm_eps
								snake_case_           =				position_embedding_type
								snake_case_           =				use_cache
								snake_case_           =				classifier_dropout






class 					UpperCamelCase_ (     snake_case_							):



	'''simple docstring'''




	@property
	def 				_UpperCamelCase     (			self   )			->       Mapping[str, Mapping[int, str]]:
								if self.task == "multiple-choice":
															snake_case_           =				{0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
															snake_case_           =				{0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								    ]   )













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]"





