



'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__lowerCAmelCase									=   logging.get_logger(__name__)

__lowerCAmelCase									=   {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCAmelCase									=   {
    '''vocab_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''yjernite/retribert-base-uncased''': (
            '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json'''
        ),
    },
}

__lowerCAmelCase									=   {
    '''yjernite/retribert-base-uncased''': 512,
}


__lowerCAmelCase									=   {
    '''yjernite/retribert-base-uncased''': {'''do_lower_case''': True},
}

class 	__magic_name__						(    _UpperCamelCase   ):
							lowerCAmelCase       :    Optional[Any]   				=					VOCAB_FILES_NAMES
							lowerCAmelCase       :    Optional[int]   				=					PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase       :    Optional[Any]   				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase       :    Any   				=					PRETRAINED_INIT_CONFIGURATION
							lowerCAmelCase       :    List[str]   				=					RetriBertTokenizer
							lowerCAmelCase       :    Tuple   				=					['input_ids', 'attention_mask']







							def __init__(							self					:       str	,_UpperCAmelCase					:       List[Any]=None	,_UpperCAmelCase					:       Optional[Any]=None	,_UpperCAmelCase					:       Optional[int]=True	,_UpperCAmelCase					:       Union[str, Any]="[UNK]"	,_UpperCAmelCase					:       List[Any]="[SEP]"	,_UpperCAmelCase					:       str="[PAD]"	,_UpperCAmelCase					:       int="[CLS]"	,_UpperCAmelCase					:       str="[MASK]"	,_UpperCAmelCase					:       int=True	,_UpperCAmelCase					:       Tuple=None	,**_UpperCAmelCase					:       str	,):
									super().__init__(
									    _UpperCAmelCase	,tokenizer_file=_UpperCAmelCase	,do_lower_case=_UpperCAmelCase	,unk_token=_UpperCAmelCase	,sep_token=_UpperCAmelCase	,pad_token=_UpperCAmelCase	,cls_token=_UpperCAmelCase	,mask_token=_UpperCAmelCase	,tokenize_chinese_chars=_UpperCAmelCase	,strip_accents=_UpperCAmelCase	,**_UpperCAmelCase	,)

									_a     :      List[Any]        =							json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
									if (
									    normalizer_state.get('lowercase'	,_UpperCAmelCase		) != do_lower_case
									    or normalizer_state.get('strip_accents'	,_UpperCAmelCase		) != strip_accents
									    or normalizer_state.get('handle_chinese_chars'	,_UpperCAmelCase		) != tokenize_chinese_chars
									):
											_a     :      List[Any]        =							getattr(_UpperCAmelCase	,normalizer_state.pop('type'		)		)
											_a     :      Union[str, Any]        =							do_lower_case
											_a     :      Optional[int]        =							strip_accents
											_a     :      Dict        =							tokenize_chinese_chars
											_a     :      Dict        =							normalizer_class(**_UpperCAmelCase		)

									_a     :      Dict        =							do_lower_case







							def 							__lowercase			(							self					:       Tuple	,_UpperCAmelCase					:       Any	,_UpperCAmelCase					:       Union[str, Any]=None		):
									_a     :      Any        =							[self.cls_token_id] + token_ids_a + [self.sep_token_id]

									if token_ids_a:
											output += token_ids_a + [self.sep_token_id]

									return output







							def 							__lowercase			(							self					:       List[str]	,_UpperCAmelCase					:       List[int]	,_UpperCAmelCase					:       Optional[List[int]] = None		):
									_a     :      Optional[int]        =							[self.sep_token_id]
									_a     :      Optional[Any]        =							[self.cls_token_id]
									if token_ids_a is None:
											return len(cls + token_ids_a + sep		) * [0]
									return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]







							def 							__lowercase			(							self					:       List[Any]	,_UpperCAmelCase					:       str	,_UpperCAmelCase					:       Optional[str] = None		):
									_a     :      Tuple        =							self._tokenizer.model.save(_UpperCAmelCase	,name=_UpperCAmelCase		)
									return tuple(_UpperCAmelCase		)











class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			pass


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			pass


class   A			:
			'''simple docstring'''




			def __init__(			self   :    List[Any]   )	->	str:







					"""simple docstring"""






					A__        =   [
					    [],
					    [],
					    [],
					]






			def    a_       (			self   :    Dict							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    int   )	->	None:







					"""simple docstring"""






					try:
							if len(self.queues[priority]   ) >= 1_00:
									raise OverflowError("""Maximum queue size is 100"""   )
							self.queues[priority].append(__lowerCAmelCase   )
					except IndexError:
							raise ValueError("""Valid priorities are 0, 1, and 2"""   )






			def    a_       (			self   :    Optional[Any]   )	->	int:







					"""simple docstring"""






					for queue in self.queues:
							if queue:
									return queue.pop(0   )
					raise UnderFlowError("""All queues are empty"""   )







			def __str__(			self   :    Tuple   )	->	str:







					"""simple docstring"""






					return "\n".join(f'Priority {i}: {q}' for i, q in enumerate(self.queues   )   )


class   A			:
			'''simple docstring'''




			def __init__(			self   :    int   )	->	str:







					"""simple docstring"""






					A__        =   []






			def    a_       (			self   :    int							,	__lowerCAmelCase   :    int   )	->	None:







					"""simple docstring"""






					if len(self.queue   ) == 1_00:
							raise OverFlowError("""Maximum queue size is 100"""   )
					self.queue.append(__lowerCAmelCase   )






			def    a_       (			self   :    List[str]   )	->	int:







					"""simple docstring"""






					if not self.queue:
							raise UnderFlowError("""The queue is empty"""   )
					else:
							A__        =   min(self.queue   )
							self.queue.remove(__lowerCAmelCase   )
							return data







			def __str__(			self   :    List[Any]   )	->	str:







					"""simple docstring"""






					return str(self.queue   )







def    __lowerCamelCase					(							)		->				Optional[Any]:






		"""simple docstring"""

		A__        =   FixedPriorityQueue()
		fpq.enqueue(0    ,     1_0    )
		fpq.enqueue(1    ,     7_0    )
		fpq.enqueue(0    ,     1_0_0    )
		fpq.enqueue(2    ,     1    )
		fpq.enqueue(2    ,     5    )
		fpq.enqueue(1    ,     7    )
		fpq.enqueue(2    ,     4    )
		fpq.enqueue(1    ,     6_4    )
		fpq.enqueue(0    ,     1_2_8    )
		print(__a    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(__a    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )







def    __lowerCamelCase					(							)		->				int:






		"""simple docstring"""

		A__        =   ElementPriorityQueue()
		epq.enqueue(1_0    )
		epq.enqueue(7_0    )
		epq.enqueue(1_0_0    )
		epq.enqueue(1    )
		epq.enqueue(5    )
		epq.enqueue(7    )
		epq.enqueue(4    )
		epq.enqueue(6_4    )
		epq.enqueue(1_2_8    )
		print(__a    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(__a    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )


if __name__ == "__main__":
					fixed_priority_queue()
					element_priority_queue()



