


'''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': 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						(						_snake_case							):



   '''simple docstring'''






   _lowercase    						= VOCAB_FILES_NAMES
   _lowercase    						= PRETRAINED_VOCAB_FILES_MAP
   _lowercase    						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _lowercase    						= ['input_ids', 'attention_mask']
   _lowercase    						= LongformerTokenizer




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

          snake_case__					:	int          =					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
          if pre_tok_state.get("""add_prefix_space"""					, lowercase__						) != add_prefix_space:
                 snake_case__					:	Union[str, Any]          =					getattr(lowercase__					, pre_tok_state.pop("""type"""						)						)
                 snake_case__					:	Union[str, Any]          =					add_prefix_space
                 snake_case__					:	Dict          =					pre_tok_class(**lowercase__						)

          snake_case__					:	Optional[int]          =					add_prefix_space

          snake_case__					:	Union[str, Any]          =					"""post_processor"""
          snake_case__					:	int          =					getattr(self.backend_tokenizer					, lowercase__					, lowercase__						)
          if tokenizer_component_instance:
                 snake_case__					:	int          =					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:
                        snake_case__					:	List[str]          =					tuple(state["""sep"""]						)
                 if "cls" in state:
                        snake_case__					:	int          =					tuple(state["""cls"""]						)

                 snake_case__					:	str          =					False

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

                 if state.get("""trim_offsets"""					, lowercase__						) != trim_offsets:
                        snake_case__					:	Union[str, Any]          =					trim_offsets
                        snake_case__					:	Optional[int]          =					True

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




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



          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   __lowerCAmelCase						(	self	:					Optional[Any]					, lowerCamelCase	:					List[Any]						)->	List[Any]:
          snake_case__					:	Dict          =					AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__						) if isinstance(lowercase__					, lowercase__						) else value
          snake_case__					:	Tuple          =					value




   def   __lowerCAmelCase						(	self	:					Optional[int]					, *lowerCamelCase	:					str					, **lowerCamelCase	:					str						)->	BatchEncoding:
          snake_case__					:	Optional[int]          =					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   __lowerCAmelCase						(	self	:					int					, *lowerCamelCase	:					Optional[Any]					, **lowerCamelCase	:					int						)->	BatchEncoding:
          snake_case__					:	Optional[int]          =					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   __lowerCAmelCase						(	self	:					List[str]					, lowerCamelCase	:					str					, lowerCamelCase	:					Optional[str] = None						)->	Tuple[str]:
          snake_case__					:	int          =					self._tokenizer.model.save(lowercase__					, name=lowercase__						)
          return tuple(lowercase__						)




   def   __lowerCAmelCase						(	self	:					List[Any]					, lowerCamelCase	:					int					, lowerCamelCase	:					Optional[Any]=None						)->	Union[str, Any]:
          snake_case__					:	str          =					[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   __lowerCAmelCase						(	self	:					int					, lowerCamelCase	:					List[int]					, lowerCamelCase	:					Optional[List[int]] = None						)->	List[int]:
          snake_case__					:	Union[str, Any]          =					[self.sep_token_id]
          snake_case__					:	Optional[int]          =					[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 pathlib import Path






def 					_SCREAMING_SNAKE_CASE		(						snake_case_							,       snake_case_	):
	return pointa[0] * pointa[1] - pointa[1] * pointa[0]






def 					_SCREAMING_SNAKE_CASE		(						snake_case_							,       snake_case_							,       snake_case_							,       snake_case_							,       snake_case_							,       snake_case_	):
	_lowercase							=     (xa, ya)
	_lowercase							=     (xa - xa, ya - ya)
	_lowercase							=     (xa - xa, ya - ya)
	_lowercase							=     -vector_product(snake_case_							,       snake_case_	) / vector_product(
	    snake_case_							,       snake_case_	)
	_lowercase							=     +vector_product(snake_case_							,       snake_case_	) / vector_product(
	    snake_case_							,       snake_case_	)

	return a > 0 and b > 0 and a + b < 1






def 					_SCREAMING_SNAKE_CASE		(						snake_case_ = "p102_triangles.txt"	):
	_lowercase							=     Path(snake_case_	).parent.joinpath(snake_case_	).read_text(encoding="""utf-8"""	)

	_lowercase							=     []
	for line in data.strip().split("""\n"""	):
		triangles.append([int(snake_case_	) for number in line.split(""","""	)]	)

	_lowercase							=     0
	_lowercase							=     42

	for triangle in triangles:
		ret += contains_origin(*snake_case_	)

	return ret


if __name__ == "__main__":
							print(F"""{solution() = }""")




