
'''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_			:	int 	=       logging.get_logger(__name__)


snake_case_			:	Optional[int] 	=       {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

snake_case_			:	Optional[int] 	=       {
    '''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_			:	Optional[int] 	=       {
    '''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,
}



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			__snake_case  (     ):
   UpperCamelCase	  =	(
       list(range(ord('''!'''),   ord('''~''') + 1)) + list(range(ord('''¡'''),   ord('''¬''') + 1)) + list(range(ord('''®'''),   ord('''ÿ''') + 1))
   )
   UpperCamelCase	  =	bs[:]
   UpperCamelCase	  =	0
   for b in range(2**8):
      if b not in bs:
         bs.append(__snake_case)
         cs.append(2**8 + n)
         n += 1
   UpperCamelCase	  =	[chr(__snake_case) for n in cs]
   return dict(zip(__snake_case,   __snake_case))



def 			__snake_case  (     _UpperCAmelCase       :							Optional[Any]):
   UpperCamelCase	  =	set()
   UpperCamelCase	  =	word[0]
   for char in word[1:]:
      pairs.add((prev_char, char))
      UpperCamelCase	  =	char
   return pairs


class     lowercase__						(	a__ ):






   '''simple docstring'''







   _snake_case		 =				VOCAB_FILES_NAMES
   _snake_case		 =				PRETRAINED_VOCAB_FILES_MAP
   _snake_case		 =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _snake_case		 =				['''input_ids''', '''attention_mask''']







   def __init__(      self			, lowerCamelCase__			, lowerCamelCase__			, lowerCamelCase__="replace"			, lowerCamelCase__="<s>"			, lowerCamelCase__="</s>"			, lowerCamelCase__="</s>"			, lowerCamelCase__="<s>"			, lowerCamelCase__="<unk>"			, lowerCamelCase__="<pad>"			, lowerCamelCase__="<mask>"			, lowerCamelCase__=False			, **lowerCamelCase__			, ):

      '''simple docstring'''







      UpperCamelCase	  =	AddedToken(_UpperCAmelCase			, lstrip=_UpperCAmelCase			, rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase			, _UpperCAmelCase ) else bos_token
      UpperCamelCase	  =	AddedToken(_UpperCAmelCase			, lstrip=_UpperCAmelCase			, rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase			, _UpperCAmelCase ) else eos_token
      UpperCamelCase	  =	AddedToken(_UpperCAmelCase			, lstrip=_UpperCAmelCase			, rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase			, _UpperCAmelCase ) else sep_token
      UpperCamelCase	  =	AddedToken(_UpperCAmelCase			, lstrip=_UpperCAmelCase			, rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase			, _UpperCAmelCase ) else cls_token
      UpperCamelCase	  =	AddedToken(_UpperCAmelCase			, lstrip=_UpperCAmelCase			, rstrip=_UpperCAmelCase ) if isinstance(_UpperCAmelCase			, _UpperCAmelCase ) else unk_token
      UpperCamelCase	  =	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
      UpperCamelCase	  =	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:
         UpperCamelCase	  =	json.load(_UpperCAmelCase )
      UpperCamelCase	  =	{v: k for k, v in self.encoder.items()}
      UpperCamelCase	  =	errors  # how to handle errors in decoding
      UpperCamelCase	  =	bytes_to_unicode()
      UpperCamelCase	  =	{v: k for k, v in self.byte_encoder.items()}
      with open(_UpperCAmelCase			, encoding='''utf-8''' ) as merges_handle:
         UpperCamelCase	  =	merges_handle.read().split('''\n''' )[1:-1]
      UpperCamelCase	  =	[tuple(merge.split() ) for merge in bpe_merges]
      UpperCamelCase	  =	dict(zip(_UpperCAmelCase			, range(len(_UpperCAmelCase ) ) ) )
      UpperCamelCase	  =	{}
      UpperCamelCase	  =	add_prefix_space

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







   @property
   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      return len(self.encoder )







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      if token in self.cache:
         return self.cache[token]
      UpperCamelCase	  =	tuple(_UpperCAmelCase )
      UpperCamelCase	  =	get_pairs(_UpperCAmelCase )

      if not pairs:
         return token

      while True:
         UpperCamelCase	  =	min(_UpperCAmelCase			, key=lambda lowerCamelCase__ : self.bpe_ranks.get(_UpperCAmelCase			, float('''inf''' ) ) )
         if bigram not in self.bpe_ranks:
            break
         UpperCamelCase	  =	bigram
         UpperCamelCase	  =	[]
         UpperCamelCase	  =	0
         while i < len(_UpperCAmelCase ):
            try:
               UpperCamelCase	  =	word.index(_UpperCAmelCase			, _UpperCAmelCase )
            except ValueError:
               new_word.extend(word[i:] )
               break
            else:
               new_word.extend(word[i:j] )
               UpperCamelCase	  =	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
         UpperCamelCase	  =	tuple(_UpperCAmelCase )
         UpperCamelCase	  =	new_word
         if len(_UpperCAmelCase ) == 1:
            break
         else:
            UpperCamelCase	  =	get_pairs(_UpperCAmelCase )
      UpperCamelCase	  =	' '.join(_UpperCAmelCase )
      UpperCamelCase	  =	word
      return word







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	[]
      for token in re.findall(self.pat			, _UpperCAmelCase ):
         UpperCamelCase	  =	''.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    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      return self.decoder.get(_UpperCAmelCase )







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	''.join(_UpperCAmelCase )
      UpperCamelCase	  =	bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''			, errors=self.errors )
      return text







   def    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__ = None ):

      '''simple docstring'''







      if not os.path.isdir(_UpperCAmelCase ):
         logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
         return
      UpperCamelCase	  =	os.path.join(
          _UpperCAmelCase			, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
      UpperCamelCase	  =	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''' )

      UpperCamelCase	  =	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 lowerCamelCase__ : 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!''' )
               UpperCamelCase	  =	token_index
            writer.write(''' '''.join(_UpperCAmelCase ) + '''\n''' )
            index += 1

      return vocab_file, merge_file







   def    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__ = None ):

      '''simple docstring'''







      if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      UpperCamelCase	  =	[self.cls_token_id]
      UpperCamelCase	  =	[self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep







   def    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__ = None			, lowerCamelCase__ = False ):

      '''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    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__ = 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]







   def    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__=False			, **lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	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()):
         UpperCamelCase	  =	' ' + text
      return (text, kwargs)












'''simple docstring'''




import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


lowercase__       : Dict         =       logging.getLogger(__name__)


@dataclass
@add_start_docstrings(TrainingArguments.__doc__				)
class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Whether to use SortishSampler or not.'''}				)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}				)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': (
                 '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                 '''to the `max_length` value of the model configuration.'''
             )
         }   ,						)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': (
                 '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                 '''to the `num_beams` value of the model configuration.'''
             )
         }   ,						)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
         }   ,						)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          __A		:					List[Any]						=			super().to_dict()
          for k, v in d.items():
               if isinstance(_UpperCAmelCase		,      _UpperCAmelCase):
                    __A		:					List[Any]						=			v.to_dict()
          return d