



import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


SCREAMING_SNAKE_CASE__   			=   NewType('''DataClass''', Any)
SCREAMING_SNAKE_CASE__   			=   NewType('''DataClassType''', Any)


def A    (							__UpperCamelCase       )    ->   List[Any]:
			if isinstance(__UpperCamelCase			,						__UpperCamelCase       ):
						return v
			if v.lower() in ("yes", "true", "t", "y", "1"):
						return True
			elif v.lower() in ("no", "false", "f", "n", "0"):
						return False
			else:
						raise ArgumentTypeError(
						    f'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'''       )


def A    (							__UpperCamelCase       )    ->   Callable[[str], Any]:
			A__	  =     {str(__UpperCamelCase       ): choice for choice in choices}
			return lambda __UpperCamelCase       : str_to_choice.get(__UpperCamelCase			,						__UpperCamelCase       )


def A    (							*,
    __UpperCamelCase = None			,						__UpperCamelCase = None			,						__UpperCamelCase = dataclasses.MISSING			,						__UpperCamelCase = dataclasses.MISSING			,						__UpperCamelCase = None			,						**__UpperCamelCase			,						)    ->   dataclasses.Field:
			if metadata is None:
						# Important, don't use as default param in function signature because dict is mutable and shared across function calls
						A__	  =     {}
			if aliases is not None:
						A__	  =     aliases
			if help is not None:
						A__	  =     help

			return dataclasses.field(metadata=__UpperCamelCase			,						default=__UpperCamelCase			,						default_factory=__UpperCamelCase			,						**__UpperCamelCase       )






class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		Iterable[DataClassType]



					def __init__(  self       :							Optional[int]					,       _snake_case       :							Union[DataClassType, Iterable[DataClassType]]					,       **_snake_case       :							Tuple       ):






								"""simple docstring"""


								if "formatter_class" not in kwargs:
											A__	  =     ArgumentDefaultsHelpFormatter
								super().__init__(**_snake_case       )
								if dataclasses.is_dataclass(_snake_case       ):
											A__	  =     [dataclass_types]
								A__	  =     list(_snake_case       )
								for dtype in self.dataclass_types:
											self._add_dataclass_arguments(_snake_case       )



					@staticmethod
					def      _a				(  _snake_case       :							ArgumentParser					,       _snake_case       :							dataclasses.Field       ):






								"""simple docstring"""


								A__	  =     F'''--{field.name}'''
								A__	  =     field.metadata.copy()
								# field.metadata is not used at all by Data Classes,
								# it is provided as a third-party extension mechanism.
								if isinstance(field.type					,       _snake_case       ):
											raise RuntimeError(
											    'Unresolved type detected, which should have been done with the help of '
											    '`typing.get_type_hints` method by default'       )

								A__	  =     kwargs.pop('aliases'					,       []       )
								if isinstance(_snake_case					,       _snake_case       ):
											A__	  =     [aliases]

								A__	  =     getattr(field.type					,       '__origin__'					,       field.type       )
								if origin_type is Union or (hasattr(_snake_case					,       'UnionType'       ) and isinstance(_snake_case					,       types.UnionType       )):
											if str not in field.type.__args__ and (
											    len(field.type.__args__       ) != 2 or type(_snake_case       ) not in field.type.__args__
											):
														raise ValueError(
														    'Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'
														    ' the argument parser only supports one type per argument.'
														    F''' Problem encountered in field \'{field.name}\'.'''       )
											if type(_snake_case       ) not in field.type.__args__:
														# filter `str` in Union
														A__	  =     field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
														A__	  =     getattr(field.type					,       '__origin__'					,       field.type       )
											elif bool not in field.type.__args__:
														# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
														A__	  =     (
														    field.type.__args__[0] if isinstance(_snake_case					,       field.type.__args__[1]       ) else field.type.__args__[1]
														)
														A__	  =     getattr(field.type					,       '__origin__'					,       field.type       )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
								A__	  =     {}
								if origin_type is Literal or (isinstance(field.type					,       _snake_case       ) and issubclass(field.type					,       _snake_case       )):
											if origin_type is Literal:
														A__	  =     field.type.__args__
											else:
														A__	  =     [x.value for x in field.type]

											A__	  =     make_choice_type_function(kwargs['choices']       )

											if field.default is not dataclasses.MISSING:
														A__	  =     field.default
											else:
														A__	  =     True
								elif field.type is bool or field.type == Optional[bool]:
											# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
											# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
											A__	  =     copy(_snake_case       )

											# Hack because type=bool in argparse does not behave as we want.
											A__	  =     string_to_bool
											if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
														# Default value is False if we have no default when of type bool.
														A__	  =     False if field.default is dataclasses.MISSING else field.default
														# This is the value that will get picked if we don't include --field_name in any way
														A__	  =     default
														# This tells argparse we accept 0 or 1 value after --field_name
														A__	  =     '?'
														# This is the value that will get picked if we do --field_name (without value)
														A__	  =     True
								elif isclass(_snake_case       ) and issubclass(_snake_case					,       _snake_case       ):
											A__	  =     field.type.__args__[0]
											A__	  =     '+'
											if field.default_factory is not dataclasses.MISSING:
														A__	  =     field.default_factory()
											elif field.default is dataclasses.MISSING:
														A__	  =     True
								else:
											A__	  =     field.type
											if field.default is not dataclasses.MISSING:
														A__	  =     field.default
											elif field.default_factory is not dataclasses.MISSING:
														A__	  =     field.default_factory()
											else:
														A__	  =     True
								parser.add_argument(_snake_case					,       *_snake_case					,       **_snake_case       )

								# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
								# Order is important for arguments with the same destination!
								# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
								# here and we do not need those changes/additional keys.
								if field.default is True and (field.type is bool or field.type == Optional[bool]):
											A__	  =     False
											parser.add_argument(F'''--no_{field.name}'''					,       action='store_false'					,       dest=field.name					,       **_snake_case       )



					def      _a				(  self       :							Any					,       _snake_case       :							DataClassType       ):






								"""simple docstring"""


								if hasattr(_snake_case					,       '_argument_group_name'       ):
											A__	  =     self.add_argument_group(dtype._argument_group_name       )
								else:
											A__	  =     self

								try:
											A__	  =     get_type_hints(_snake_case       )
								except NameError:
											raise RuntimeError(
											    F'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
											    'removing line of `from __future__ import annotations` which opts in Postponed '
											    'Evaluation of Annotations (PEP 563)'       )
								except TypeError as ex:
											# Remove this block when we drop Python 3.9 support
											if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(_snake_case       ):
														A__	  =     '.'.join(map(_snake_case					,       sys.version_info[:3]       )       )
														raise RuntimeError(
														    F'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
														    'line of `from __future__ import annotations` which opts in union types as '
														    '`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '
														    'support Python versions that lower than 3.10, you need to use '
														    '`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '
														    '`X | None`.'       ) from ex
											raise

								for field in dataclasses.fields(_snake_case       ):
											if not field.init:
														continue
											A__	  =     type_hints[field.name]
											self._parse_dataclass_field(_snake_case					,       _snake_case       )



					def      _a				(  self       :							Optional[int]					,       _snake_case       :							Optional[Any]=None					,       _snake_case       :							Any=False					,       _snake_case       :							int=True					,       _snake_case       :							List[Any]=None					,       _snake_case       :							int=None					,       ):






								"""simple docstring"""


								if args_file_flag or args_filename or (look_for_args_file and len(sys.argv       )):
											A__	  =     []

											if args_filename:
														args_files.append(Path(_snake_case       )       )
											elif look_for_args_file and len(sys.argv       ):
														args_files.append(Path(sys.argv[0]       ).with_suffix('.args'       )       )

											# args files specified via command line flag should overwrite default args files so we add them last
											if args_file_flag:
														# Create special parser just to extract the args_file_flag values
														A__	  =     ArgumentParser()
														args_file_parser.add_argument(_snake_case					,       type=_snake_case					,       action='append'       )

														# Use only remaining args for further parsing (remove the args_file_flag)
														A__  ,			A__	  =     args_file_parser.parse_known_args(args=_snake_case       )
														A__	  =     vars(_snake_case       ).get(args_file_flag.lstrip('-'       )					,       _snake_case       )

														if cmd_args_file_paths:
																	args_files.extend([Path(_snake_case       ) for p in cmd_args_file_paths]       )

											A__	  =     []
											for args_file in args_files:
														if args_file.exists():
																	file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
											A__	  =     file_args + args if args is not None else file_args + sys.argv[1:]
								A__  ,			A__	  =     self.parse_known_args(args=_snake_case       )
								A__	  =     []
								for dtype in self.dataclass_types:
											A__	  =     {f.name for f in dataclasses.fields(_snake_case       ) if f.init}
											A__	  =     {k: v for k, v in vars(_snake_case       ).items() if k in keys}
											for k in keys:
														delattr(_snake_case					,       _snake_case       )
											A__	  =     dtype(**_snake_case       )
											outputs.append(_snake_case       )
								if len(namespace.__dict__       ) > 0:
											# additional namespace.
											outputs.append(_snake_case       )
								if return_remaining_strings:
											return (*outputs, remaining_args)
								else:
											if remaining_args:
														raise ValueError(F'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}'''       )

											return (*outputs,)



					def      _a				(  self       :							Dict					,       _snake_case       :							Dict[str, Any]					,       _snake_case       :							bool = False       ):






								"""simple docstring"""


								A__	  =     set(args.keys()       )
								A__	  =     []
								for dtype in self.dataclass_types:
											A__	  =     {f.name for f in dataclasses.fields(_snake_case       ) if f.init}
											A__	  =     {k: v for k, v in args.items() if k in keys}
											unused_keys.difference_update(inputs.keys()       )
											A__	  =     dtype(**_snake_case       )
											outputs.append(_snake_case       )
								if not allow_extra_keys and unused_keys:
											raise ValueError(F'''Some keys are not used by the HfArgumentParser: {sorted(_snake_case       )}'''       )
								return tuple(_snake_case       )



					def      _a				(  self       :							Dict					,       _snake_case       :							str					,       _snake_case       :							bool = False       ):






								"""simple docstring"""


								with open(Path(_snake_case       )					,       encoding='utf-8'       ) as open_json_file:
											A__	  =     json.loads(open_json_file.read()       )
								A__	  =     self.parse_dict(_snake_case					,       allow_extra_keys=_snake_case       )
								return tuple(_snake_case       )



					def      _a				(  self       :							Tuple					,       _snake_case       :							str					,       _snake_case       :							bool = False       ):






								"""simple docstring"""


								A__	  =     self.parse_dict(yaml.safe_load(Path(_snake_case       ).read_text()       )					,       allow_extra_keys=_snake_case       )
								return tuple(_snake_case       )








"""simple docstring"""



import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__snake_case       =       logging.get_logger(__name__)


__snake_case       =       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

__snake_case       =       {
    """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"""
        ),
    },
}

__snake_case       =       {
    """allenai/longformer-base-4096""": 4096,
    """allenai/longformer-large-4096""": 4096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4096,
}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def     __lowerCAmelCase		(		)      ->		str:


    """simple docstring"""





    snake_case       : int    =       (
        list(range(ord("!"					)		,				ord("~"					) + 1					)					) + list(range(ord("¡"					)		,				ord("¬"					) + 1					)					) + list(range(ord("®"					)		,				ord("ÿ"					) + 1					)					)
    )
    snake_case       : Any    =       bs[:]
    snake_case       : str    =       0
    for b in range(2**8					):
        if b not in bs:
            bs.append(lowercase					)
            cs.append(2**8 + n					)
            n += 1
    snake_case       : str    =       [chr(lowercase					) for n in cs]
    return dict(zip(lowercase		,				lowercase					)					)







def     __lowerCAmelCase		(		lowercase    :    int					)      ->		Tuple:


    """simple docstring"""





    snake_case       : Optional[Any]    =       set()
    snake_case       : Dict    =       word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)					)
        snake_case       : Optional[int]    =       char
    return pairs







class _lowerCAmelCase							( snake_case_      ):
   __UpperCAmelCase					:			Dict				    =    VOCAB_FILES_NAMES
   __UpperCAmelCase					:			List[Any]				    =    PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase					:			str				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase					:			Dict				    =    ['''input_ids''', '''attention_mask''']







   def __init__(      self		,      UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__="replace"		,      UpperCamelCase__="<s>"		,      UpperCamelCase__="</s>"		,      UpperCamelCase__="</s>"		,      UpperCamelCase__="<s>"		,      UpperCamelCase__="<unk>"		,      UpperCamelCase__="<pad>"		,      UpperCamelCase__="<mask>"		,      UpperCamelCase__=False		,      **UpperCamelCase__		,      )      ->						Union[str, Any]:

       '''simple docstring'''




       snake_case       : Any    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else bos_token
       snake_case       : int    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else eos_token
       snake_case       : Dict    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else sep_token
       snake_case       : Optional[int]    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else cls_token
       snake_case       : Dict    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else unk_token
       snake_case       : Tuple    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       snake_case       : Any    =       AddedToken(UpperCamelCase__		,      lstrip=UpperCamelCase__		,      rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__		,      UpperCamelCase__		) else mask_token

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

       with open(UpperCamelCase__		,      encoding="utf-8"		) as vocab_handle:
           snake_case       : Union[str, Any]    =       json.load(UpperCamelCase__		)
       snake_case       : List[Any]    =       {v: k for k, v in self.encoder.items()}
       snake_case       : Any    =       errors  # how to handle errors in decoding
       snake_case       : Optional[int]    =       bytes_to_unicode()
       snake_case       : Tuple    =       {v: k for k, v in self.byte_encoder.items()}
       with open(UpperCamelCase__		,      encoding="utf-8"		) as merges_handle:
           snake_case       : List[str]    =       merges_handle.read().split("\n"		)[1:-1]
       snake_case       : List[Any]    =       [tuple(merge.split()		) for merge in bpe_merges]
       snake_case       : Optional[Any]    =       dict(zip(UpperCamelCase__		,      range(len(UpperCamelCase__		)		)		)		)
       snake_case       : Optional[int]    =       {}
       snake_case       : Union[str, Any]    =       add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       snake_case       : Optional[Any]    =       re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"		)







   @property
   def 					lowerCamelCase						(      self		)      ->						Optional[Any]:

       '''simple docstring'''




       return len(self.encoder		)







   def 					lowerCamelCase						(      self		)      ->						str:

       '''simple docstring'''




       return dict(self.encoder		,      **self.added_tokens_encoder		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						Tuple:

       '''simple docstring'''




       if token in self.cache:
           return self.cache[token]
       snake_case       : Optional[Any]    =       tuple(UpperCamelCase__		)
       snake_case       : str    =       get_pairs(UpperCamelCase__		)

       if not pairs:
           return token

       while True:
           snake_case       : str    =       min(UpperCamelCase__		,      key=lambda UpperCamelCase__		: self.bpe_ranks.get(UpperCamelCase__		,      float("inf"		)		)		)
           if bigram not in self.bpe_ranks:
               break
           snake_case   ,snake_case       : List[Any]    =       bigram
           snake_case       : str    =       []
           snake_case       : Tuple    =       0
           while i < len(UpperCamelCase__		):
               try:
                   snake_case       : Union[str, Any]    =       word.index(UpperCamelCase__		,      UpperCamelCase__		)
               except ValueError:
                   new_word.extend(word[i:]		)
                   break
               else:
                   new_word.extend(word[i:j]		)
                   snake_case       : Dict    =       j

               if word[i] == first and i < len(UpperCamelCase__		) - 1 and word[i + 1] == second:
                   new_word.append(first + second		)
                   i += 2
               else:
                   new_word.append(word[i]		)
                   i += 1
           snake_case       : Optional[Any]    =       tuple(UpperCamelCase__		)
           snake_case       : int    =       new_word
           if len(UpperCamelCase__		) == 1:
               break
           else:
               snake_case       : str    =       get_pairs(UpperCamelCase__		)
       snake_case       : List[Any]    =       " ".join(UpperCamelCase__		)
       snake_case       : List[Any]    =       word
       return word







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						List[Any]:

       '''simple docstring'''




       snake_case       : Optional[int]    =       []
       for token in re.findall(self.pat		,      UpperCamelCase__		):
           snake_case       : Any    =       "".join(
               self.byte_encoder[b] for b in token.encode("utf-8"		)		)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
           bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__		).split(" "		)		)
       return bpe_tokens







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						List[Any]:

       '''simple docstring'''




       return self.encoder.get(UpperCamelCase__		,      self.encoder.get(self.unk_token		)		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						List[str]:

       '''simple docstring'''




       return self.decoder.get(UpperCamelCase__		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						str:

       '''simple docstring'''




       snake_case       : int    =       "".join(UpperCamelCase__		)
       snake_case       : Dict    =       bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"		,      errors=self.errors		)
       return text







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = None		)      ->						Tuple[str]:

       '''simple docstring'''




       if not os.path.isdir(UpperCamelCase__		):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
           return
       snake_case       : Dict    =       os.path.join(
           UpperCamelCase__		,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
       snake_case       : List[Any]    =       os.path.join(
           UpperCamelCase__		,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

       with open(UpperCamelCase__		,      "w"		,      encoding="utf-8"		) as f:
           f.write(json.dumps(self.encoder		,      indent=2		,      sort_keys=UpperCamelCase__		,      ensure_ascii=UpperCamelCase__		) + "\n"		)

       snake_case       : List[Any]    =       0
       with open(UpperCamelCase__		,      "w"		,      encoding="utf-8"		) as writer:
           writer.write("#version: 0.2\n"		)
           for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,      key=lambda UpperCamelCase__		: kv[1]		):
               if index != token_index:
                   logger.warning(
                       F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                       " Please check that the tokenizer is not corrupted!"		)
                   snake_case       : Optional[Any]    =       token_index
               writer.write(" ".join(UpperCamelCase__		) + "\n"		)
               index += 1

       return vocab_file, merge_file







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = None		)      ->						List[int]:

       '''simple docstring'''




       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       snake_case       : Union[str, Any]    =       [self.cls_token_id]
       snake_case       : Optional[int]    =       [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = None		,      UpperCamelCase__ = False		)      ->						List[int]:

       '''simple docstring'''




       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=UpperCamelCase__		,      token_ids_a=UpperCamelCase__		,      already_has_special_tokens=UpperCamelCase__		)

       if token_ids_a is None:
           return [1] + ([0] * len(UpperCamelCase__		)) + [1]
       return [1] + ([0] * len(UpperCamelCase__		)) + [1, 1] + ([0] * len(UpperCamelCase__		)) + [1]







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = None		)      ->						List[int]:

       '''simple docstring'''




       snake_case       : Any    =       [self.sep_token_id]
       snake_case       : List[str]    =       [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]







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__=False		,      **UpperCamelCase__		)      ->						Any:

       '''simple docstring'''




       snake_case       : Optional[Any]    =       kwargs.pop("add_prefix_space"		,      self.add_prefix_space		)
       if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__		) > 0 and not text[0].isspace()):
           snake_case       : str    =       " " + text
       return (text, kwargs)





