
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


_A	  =					logging.get_logger(__name__)

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

_A	  =					{
    '''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'''
        ),
    },
}

_A	  =					{
    '''allenai/longformer-base-4096''': 4_096,
    '''allenai/longformer-large-4096''': 4_096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_096,
}

class 		lowercase_       (       __SCREAMING_SNAKE_CASE				):
 A__						:				List[str]         =    VOCAB_FILES_NAMES
 A__						:				Optional[Any]         =    PRETRAINED_VOCAB_FILES_MAP
 A__						:				Optional[int]         =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 A__						:				Optional[Any]         =    ["""input_ids""", """attention_mask"""]
 A__						:				Any         =    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     ,	):




        """simple docstring"""


        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     ,	)

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

        UpperCamelCase_							       =       add_prefix_space

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

               UpperCamelCase_							       =       False

               if state.get("""add_prefix_space"""     ,	__UpperCamelCase     ) != add_prefix_space:
                      UpperCamelCase_							       =       add_prefix_space
                      UpperCamelCase_							       =       True

               if state.get("""trim_offsets"""     ,	__UpperCamelCase     ) != trim_offsets:
                      UpperCamelCase_							       =       trim_offsets
                      UpperCamelCase_							       =       True

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

 @property
 def lowerCamelCase_				(      self     ):




        """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 lowerCamelCase_				(      self     ,	__UpperCamelCase     ):




        """simple docstring"""


        UpperCamelCase_							       =       AddedToken(__UpperCamelCase     ,	lstrip=__UpperCamelCase     ,	rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase     ,	__UpperCamelCase     ) else value
        UpperCamelCase_							       =       value

 def lowerCamelCase_				(      self     ,	*__UpperCamelCase     ,	**__UpperCamelCase     ):




        """simple docstring"""


        UpperCamelCase_							       =       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 lowerCamelCase_				(      self     ,	*__UpperCamelCase     ,	**__UpperCamelCase     ):




        """simple docstring"""


        UpperCamelCase_							       =       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 lowerCamelCase_				(      self     ,	__UpperCamelCase     ,	__UpperCamelCase = None     ):




        """simple docstring"""


        UpperCamelCase_							       =       self._tokenizer.model.save(__UpperCamelCase     ,	name=__UpperCamelCase     )
        return tuple(__UpperCamelCase     )

 def lowerCamelCase_				(      self     ,	__UpperCamelCase     ,	__UpperCamelCase=None     ):




        """simple docstring"""


        UpperCamelCase_							       =       [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     ,	__UpperCamelCase     ,	__UpperCamelCase = None     ):




        """simple docstring"""


        UpperCamelCase_							       =       [self.sep_token_id]
        UpperCamelCase_							       =       [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]





import hashlib
import importlib.util
import json
import os
import pathlib
from types import ModuleType

import pytest
import requests

_A	  =					pathlib.Path.cwd().joinpath('''project_euler''')
_A	  =					pathlib.Path.cwd().joinpath(
    '''scripts''', '''project_euler_answers.json'''
)

with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
      _A	  =					json.load(file_handle)




def 				lowerCamelCase__				(						a__  :  pathlib.Path     )		->	ModuleType:
       UpperCamelCase_							       =       importlib.util.spec_from_file_location(file_path.name	,      str(a__     )     )
       UpperCamelCase_							       =       importlib.util.module_from_spec(a__     )  # type: ignore
       spec.loader.exec_module(a__     )  # type: ignore
       return module




def 				lowerCamelCase__				(						)		->	list[pathlib.Path]:
       UpperCamelCase_							       =       []
       for problem_dir_path in PROJECT_EULER_DIR_PATH.iterdir():
              if problem_dir_path.is_file() or problem_dir_path.name.startswith("""_"""     ):
                     continue
              for file_path in problem_dir_path.iterdir():
                     if file_path.suffix != ".py" or file_path.name.startswith(("""_""", """test""")     ):
                            continue
                     solution_file_paths.append(a__     )
       return solution_file_paths




def 				lowerCamelCase__				(						)		->	str:
       with open(os.environ["""GITHUB_EVENT_PATH"""]     ) as file:
              UpperCamelCase_							       =       json.load(a__     )
       return event["pull_request"]["url"] + "/files"




def 				lowerCamelCase__				(						)		->	list[pathlib.Path]:
       UpperCamelCase_							       =       []
       UpperCamelCase_							       =       {
           """Accept""": """application/vnd.github.v3+json""",
           """Authorization""": """token """ + os.environ["""GITHUB_TOKEN"""],
       }
       UpperCamelCase_							       =       requests.get(get_files_url()	,      headers=a__     ).json()
       for file in files:
              UpperCamelCase_							       =       pathlib.Path.cwd().joinpath(file["""filename"""]     )
              if (
                  filepath.suffix != ".py"
                  or filepath.name.startswith(("""_""", """test""")     )
                  or not filepath.name.startswith("""sol"""     )
              ):
                     continue
              solution_file_paths.append(a__     )
       return solution_file_paths




def 				lowerCamelCase__				(						)		->	list[pathlib.Path]:
       if os.environ.get("""CI"""     ) and os.environ.get("""GITHUB_EVENT_NAME"""     ) == "pull_request":
              # Return only if there are any, otherwise default to all solutions
              if filepaths := added_solution_file_path():
                     return filepaths
       return all_solution_file_paths()







@pytest.mark.parametrize(
    """solution_path"""	,      collect_solution_file_paths()	,      ids=lambda a__     : f'''{path.parent.name}/{path.name}'''	,      )
def 				lowerCamelCase__				(						a__  :  pathlib.Path     )		->	None:
       UpperCamelCase_							       =       solution_path.parent.name[8:].zfill(3     )
       UpperCamelCase_							       =       PROBLEM_ANSWERS[problem_number]
       UpperCamelCase_							       =       convert_path_to_module(a__     )
       UpperCamelCase_							       =       str(solution_module.solution()     )  # type: ignore
       UpperCamelCase_							       =       hashlib.shaaaa(answer.encode()     ).hexdigest()
       assert (
           answer == expected
       ), f'''Expected solution to {problem_number} to have hash {expected}, got {answer}'''



