

'''simple docstring'''







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


_lowerCamelCase    =  logging.get_logger(__name__)

_lowerCamelCase    =  {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase    =  {
    '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'
        ),
    },
}

_lowerCamelCase    =  {
    'allenai/longformer-base-4096': 4_0_9_6,
    'allenai/longformer-large-4096': 4_0_9_6,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
}
class 					__a   (		_snake_case  ):
						__SCREAMING_SNAKE_CASE     :					Dict  =      VOCAB_FILES_NAMES
						__SCREAMING_SNAKE_CASE     :					Any  =      PRETRAINED_VOCAB_FILES_MAP
						__SCREAMING_SNAKE_CASE     :					Optional[Any]  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__SCREAMING_SNAKE_CASE     :					Union[str, Any]  =      ['input_ids', 'attention_mask']
						__SCREAMING_SNAKE_CASE     :					int  =      LongformerTokenizer

						def __init__(		self	:						str    ,			lowercase__	:						Dict=None    ,			lowercase__	:						Any=None    ,			lowercase__	:						Optional[int]=None    ,			lowercase__	:						str="replace"    ,			lowercase__	:						Optional[Any]="<s>"    ,			lowercase__	:						Any="</s>"    ,			lowercase__	:						Optional[int]="</s>"    ,			lowercase__	:						Any="<s>"    ,			lowercase__	:						Tuple="<unk>"    ,			lowercase__	:						List[Any]="<pad>"    ,			lowercase__	:						Union[str, Any]="<mask>"    ,			lowercase__	:						Tuple=False    ,			lowercase__	:						Optional[Any]=True    ,			**lowercase__	:						str    ,			)						->str:

							"""simple docstring"""



							super().__init__(
							    lowercase__    ,			lowercase__    ,			tokenizer_file=lowercase__    ,			errors=lowercase__    ,			bos_token=lowercase__    ,			eos_token=lowercase__    ,			sep_token=lowercase__    ,			cls_token=lowercase__    ,			unk_token=lowercase__    ,			pad_token=lowercase__    ,			mask_token=lowercase__    ,			add_prefix_space=lowercase__    ,			trim_offsets=lowercase__    ,			**lowercase__    ,			)

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

							_lowercase							=     add_prefix_space

							_lowercase							=     """post_processor"""
							_lowercase							=     getattr(self.backend_tokenizer    ,			lowercase__    ,			lowercase__)
							if tokenizer_component_instance:
								_lowercase							=     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:
									_lowercase							=     tuple(state["""sep"""])
								if "cls" in state:
									_lowercase							=     tuple(state["""cls"""])

								_lowercase							=     False

								if state.get("""add_prefix_space"""    ,			lowercase__) != add_prefix_space:
									_lowercase							=     add_prefix_space
									_lowercase							=     True

								if state.get("""trim_offsets"""    ,			lowercase__) != trim_offsets:
									_lowercase							=     trim_offsets
									_lowercase							=     True

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

						@property
						def 	_UpperCAmelCase							(		self	:						str)						->str:

							"""simple docstring"""



							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 	_UpperCAmelCase							(		self	:						Optional[Any]    ,			lowercase__	:						List[Any])						->List[Any]:

							"""simple docstring"""



							_lowercase							=     AddedToken(lowercase__    ,			lstrip=lowercase__    ,			rstrip=lowercase__) if isinstance(lowercase__    ,			lowercase__) else value
							_lowercase							=     value

						def 	_UpperCAmelCase							(		self	:						Optional[int]    ,			*lowercase__	:						str    ,			**lowercase__	:						str)						->BatchEncoding:

							"""simple docstring"""



							_lowercase							=     kwargs.get("""is_split_into_words"""    ,			lowercase__)
							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(*lowercase__    ,			**lowercase__)

						def 	_UpperCAmelCase							(		self	:						int    ,			*lowercase__	:						Optional[Any]    ,			**lowercase__	:						int)						->BatchEncoding:

							"""simple docstring"""



							_lowercase							=     kwargs.get("""is_split_into_words"""    ,			lowercase__)

							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(*lowercase__    ,			**lowercase__)

						def 	_UpperCAmelCase							(		self	:						List[str]    ,			lowercase__	:						str    ,			lowercase__	:						Optional[str] = None)						->Tuple[str]:

							"""simple docstring"""



							_lowercase							=     self._tokenizer.model.save(lowercase__    ,			name=lowercase__)
							return tuple(lowercase__)

						def 	_UpperCAmelCase							(		self	:						List[Any]    ,			lowercase__	:						int    ,			lowercase__	:						Optional[Any]=None)						->Union[str, Any]:

							"""simple docstring"""



							_lowercase							=     [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 	_UpperCAmelCase							(		self	:						int    ,			lowercase__	:						List[int]    ,			lowercase__	:						Optional[List[int]] = None)						->List[int]:

							"""simple docstring"""



							_lowercase							=     [self.sep_token_id]
							_lowercase							=     [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

from collections.abc import Generator






def 					_SCREAMING_SNAKE_CASE		(						snake_case_	):
	if not isinstance(snake_case_							,       snake_case_	) or n < 1:
		raise Exception("""Sequence only defined for positive integers"""	)

	yield n
	while n != 1:
		if n % 2 == 0:
			n //= 2
		else:
			_lowercase							=     3 * n + 1
		yield n






def 					_SCREAMING_SNAKE_CASE		(						):
	_lowercase							=     43
	_lowercase							=     tuple(collatz_sequence(snake_case_	)	)
	print(snake_case_	)
	print(F"""Collatz sequence from {n} took {len(snake_case_	)} steps."""	)


if __name__ == "__main__":
							main()




