





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


UpperCAmelCase__  :	Optional[int]     =logging.get_logger(__name__)

UpperCAmelCase__  :	List[Any]     ={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase__  :	Tuple     ={
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase__  :	str     ={
    '''allenai/longformer-base-4096''': 40_96,
    '''allenai/longformer-large-4096''': 40_96,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 40_96,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 40_96,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 40_96,
}

class 					__A   (  a			):
				__A            = VOCAB_FILES_NAMES
				__A            = PRETRAINED_VOCAB_FILES_MAP
				__A            = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A            = ["""input_ids""", """attention_mask"""]
				__A            = LongformerTokenizer


				def __init__(						self      ,       UpperCAmelCase_=None      ,       UpperCAmelCase_=None      ,       UpperCAmelCase_=None      ,       UpperCAmelCase_="replace"      ,       UpperCAmelCase_="<s>"      ,       UpperCAmelCase_="</s>"      ,       UpperCAmelCase_="</s>"      ,       UpperCAmelCase_="<s>"      ,       UpperCAmelCase_="<unk>"      ,       UpperCAmelCase_="<pad>"      ,       UpperCAmelCase_="<mask>"      ,       UpperCAmelCase_=False      ,       UpperCAmelCase_=True      ,       **UpperCAmelCase_      ,       ):
								super().__init__(
								    UpperCAmelCase_      ,       UpperCAmelCase_      ,       tokenizer_file=UpperCAmelCase_      ,       errors=UpperCAmelCase_      ,       bos_token=UpperCAmelCase_      ,       eos_token=UpperCAmelCase_      ,       sep_token=UpperCAmelCase_      ,       cls_token=UpperCAmelCase_      ,       unk_token=UpperCAmelCase_      ,       pad_token=UpperCAmelCase_      ,       mask_token=UpperCAmelCase_      ,       add_prefix_space=UpperCAmelCase_      ,       trim_offsets=UpperCAmelCase_      ,       **UpperCAmelCase_      ,       )

								lowerCamelCase		       =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
								if pre_tok_state.get("""add_prefix_space"""      ,       UpperCAmelCase_							) != add_prefix_space:
												lowerCamelCase		       =getattr(UpperCAmelCase_      ,       pre_tok_state.pop("""type"""							)							)
												lowerCamelCase		       =add_prefix_space
												lowerCamelCase		       =pre_tok_class(**UpperCAmelCase_							)

								lowerCamelCase		       =add_prefix_space

								lowerCamelCase		       ="""post_processor"""
								lowerCamelCase		       =getattr(self.backend_tokenizer      ,       UpperCAmelCase_      ,       UpperCAmelCase_							)
								if tokenizer_component_instance:
												lowerCamelCase		       =json.loads(tokenizer_component_instance.__getstate__()							)

												# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
												if "sep" in state:
																lowerCamelCase		       =tuple(state["""sep"""]							)
												if "cls" in state:
																lowerCamelCase		       =tuple(state["""cls"""]							)

												lowerCamelCase		       =False

												if state.get("""add_prefix_space"""      ,       UpperCAmelCase_							) != add_prefix_space:
																lowerCamelCase		       =add_prefix_space
																lowerCamelCase		       =True

												if state.get("""trim_offsets"""      ,       UpperCAmelCase_							) != trim_offsets:
																lowerCamelCase		       =trim_offsets
																lowerCamelCase		       =True

												if changes_to_apply:
																lowerCamelCase		       =getattr(UpperCAmelCase_      ,       state.pop("""type"""							)							)
																lowerCamelCase		       =component_class(**UpperCAmelCase_							)
																setattr(self.backend_tokenizer      ,       UpperCAmelCase_      ,       UpperCAmelCase_							)


				@property
				def _snake_case				(						self							):
								if self._mask_token is None:
												if self.verbose:
																logger.error("""Using mask_token, but it is not set yet."""							)
												return None
								return str(self._mask_token							)


				@mask_token.setter
				def _snake_case				(						self      ,       UpperCAmelCase_							):
								lowerCamelCase		       =AddedToken(UpperCAmelCase_      ,       lstrip=UpperCAmelCase_      ,       rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_      ,       UpperCAmelCase_							) else value
								lowerCamelCase		       =value


				def _snake_case				(						self      ,       *UpperCAmelCase_      ,       **UpperCAmelCase_							):
								lowerCamelCase		       =kwargs.get("""is_split_into_words"""      ,       UpperCAmelCase_							)
								assert self.add_prefix_space or not is_split_into_words, (
								    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
								    "to use it with pretokenized inputs."
								)

								return super()._batch_encode_plus(*UpperCAmelCase_      ,       **UpperCAmelCase_							)


				def _snake_case				(						self      ,       *UpperCAmelCase_      ,       **UpperCAmelCase_							):
								lowerCamelCase		       =kwargs.get("""is_split_into_words"""      ,       UpperCAmelCase_							)

								assert self.add_prefix_space or not is_split_into_words, (
								    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
								    "to use it with pretokenized inputs."
								)

								return super()._encode_plus(*UpperCAmelCase_      ,       **UpperCAmelCase_							)


				def _snake_case				(						self      ,       UpperCAmelCase_      ,       UpperCAmelCase_ = None							):
								lowerCamelCase		       =self._tokenizer.model.save(UpperCAmelCase_      ,       name=UpperCAmelCase_							)
								return tuple(UpperCAmelCase_							)


				def _snake_case				(						self      ,       UpperCAmelCase_      ,       UpperCAmelCase_=None							):
								lowerCamelCase		       =[self.bos_token_id] + token_ids_a + [self.eos_token_id]
								if token_ids_a is None:
												return output

								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


				def _snake_case				(						self      ,       UpperCAmelCase_      ,       UpperCAmelCase_ = None							):
								lowerCamelCase		       =[self.sep_token_id]
								lowerCamelCase		       =[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 + sep + token_ids_a + sep							) * [0]






"""simple docstring"""


from __future__ import annotations





def 			lowerCamelCase_ (					__lowerCAmelCase				)							->					int | float:




						'''simple docstring'''



						if len(__lowerCAmelCase				) == 0:
												raise ValueError("find_max() arg is an empty sequence"				)
						lowerCamelCase__					=nums[0]
						for x in nums:
												if x > max_num:
																		lowerCamelCase__					=x
						return max_num


if __name__ == "__main__":
	import doctest

	doctest.testmod(verbose=True)


