



"""simple docstring"""





from dataclasses import dataclass
from typing import Callable, Optional

import datasets


@dataclass
class       __lowerCamelCase	(   datasets.BuilderConfig    ):

   '''simple docstring'''





   __UpperCamelCase									=   None
   __UpperCamelCase									=   None
   __UpperCamelCase									=   None







   def 							A__						(self				):




      '''simple docstring'''




      assert self.generator is not None, "generator must be specified"

      if self.gen_kwargs is None:
         _lowerCAmelCase					     =		{}





class       __lowerCamelCase	(   datasets.GeneratorBasedBuilder    ):

   '''simple docstring'''





   __UpperCamelCase									=   GeneratorConfig







   def 							A__						(self				):




      '''simple docstring'''




      return datasets.DatasetInfo(features=self.config.features				)







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      return [datasets.SplitGenerator(name=datasets.Split.TRAIN       ,	gen_kwargs=self.config.gen_kwargs				)]







   def 							A__						(self       ,	**lowerCamelCase				):




      '''simple docstring'''




      for idx, ex in enumerate(self.config.generator(**lowerCamelCase				)				):
         yield idx, ex




"""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


SCREAMING_SNAKE_CASE				:     Optional[Any]          =	logging.get_logger(__name__)


SCREAMING_SNAKE_CASE				:     int          =	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE				:     Union[str, Any]          =	{
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

SCREAMING_SNAKE_CASE				:     Union[str, Any]          =	{
    '''RUCAIBox/mvp''': 1_0_2_4,
}






@lru_cache()
def 	__UpperCAmelCase					(       )							->	Tuple:






   """simple docstring"""


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






def 	__UpperCAmelCase					(       snake_case_  :  Dict   )							->	List[Any]:






   """simple docstring"""


   _lowerCAmelCase					     =		set()
   _lowerCAmelCase					     =		word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)   )
      _lowerCAmelCase					     =		char
   return pairs



class       __lowerCamelCase	(   __lowercase    ):
   __UpperCamelCase									=   VOCAB_FILES_NAMES
   __UpperCamelCase									=   PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase									=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase									=   ['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'''




      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else bos_token
      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else eos_token
      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else sep_token
      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else cls_token
      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else unk_token
      _lowerCAmelCase					     =		AddedToken(lowerCamelCase       ,	lstrip=lowerCamelCase       ,	rstrip=lowerCamelCase				) if isinstance(lowerCamelCase       ,	lowerCamelCase				) else pad_token

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

      super().__init__(
          errors=lowerCamelCase       ,	bos_token=lowerCamelCase       ,	eos_token=lowerCamelCase       ,	unk_token=lowerCamelCase       ,	sep_token=lowerCamelCase       ,	cls_token=lowerCamelCase       ,	pad_token=lowerCamelCase       ,	mask_token=lowerCamelCase       ,	add_prefix_space=lowerCamelCase       ,	**lowerCamelCase       ,	)
      with open(lowerCamelCase       ,	encoding="""utf-8"""				) as vocab_handle:
         _lowerCAmelCase					     =		json.load(lowerCamelCase				)
      _lowerCAmelCase					     =		{v: k for k, v in self.encoder.items()}
      _lowerCAmelCase					     =		errors  # how to handle errors in decoding
      _lowerCAmelCase					     =		bytes_to_unicode()
      _lowerCAmelCase					     =		{v: k for k, v in self.byte_encoder.items()}
      with open(lowerCamelCase       ,	encoding="""utf-8"""				) as merges_handle:
         _lowerCAmelCase					     =		merges_handle.read().split("""\n"""				)[1:-1]
      _lowerCAmelCase					     =		[tuple(merge.split()				) for merge in bpe_merges]
      _lowerCAmelCase					     =		dict(zip(lowerCamelCase       ,	range(len(lowerCamelCase				)				)				)				)
      _lowerCAmelCase					     =		{}
      _lowerCAmelCase					     =		add_prefix_space

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







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return len(self.encoder				)







   def 							A__						(self				):




      '''simple docstring'''




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







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      if token in self.cache:
         return self.cache[token]
      _lowerCAmelCase					     =		tuple(lowerCamelCase				)
      _lowerCAmelCase					     =		get_pairs(lowerCamelCase				)

      if not pairs:
         return token

      while True:
         _lowerCAmelCase					     =		min(lowerCamelCase       ,	key=lambda lowerCamelCase				: self.bpe_ranks.get(lowerCamelCase       ,	float("""inf"""				)				)				)
         if bigram not in self.bpe_ranks:
            break
         _lowerCAmelCase     ,						_lowerCAmelCase					     =		bigram
         _lowerCAmelCase					     =		[]
         _lowerCAmelCase					     =		0
         while i < len(lowerCamelCase				):
            try:
               _lowerCAmelCase					     =		word.index(lowerCamelCase       ,	lowerCamelCase				)
            except ValueError:
               new_word.extend(word[i:]				)
               break
            else:
               new_word.extend(word[i:j]				)
               _lowerCAmelCase					     =		j

            if word[i] == first and i < len(lowerCamelCase				) - 1 and word[i + 1] == second:
               new_word.append(first + second				)
               i += 2
            else:
               new_word.append(word[i]				)
               i += 1
         _lowerCAmelCase					     =		tuple(lowerCamelCase				)
         _lowerCAmelCase					     =		new_word
         if len(lowerCamelCase				) == 1:
            break
         else:
            _lowerCAmelCase					     =		get_pairs(lowerCamelCase				)
      _lowerCAmelCase					     =		""" """.join(lowerCamelCase				)
      _lowerCAmelCase					     =		word
      return word







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		[]
      for token in re.findall(self.pat       ,	lowerCamelCase				):
         _lowerCAmelCase					     =		"""""".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(lowerCamelCase				).split(""" """				)				)
      return bpe_tokens







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




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







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      return self.decoder.get(lowerCamelCase				)







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		"""""".join(lowerCamelCase				)
      _lowerCAmelCase					     =		bytearray([self.byte_decoder[c] for c in text]				).decode("""utf-8"""       ,	errors=self.errors				)
      return text







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




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

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

      _lowerCAmelCase					     =		0
      with open(lowerCamelCase       ,	"""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!"""				)
               _lowerCAmelCase					     =		token_index
            writer.write(""" """.join(lowerCamelCase				) + """\n"""				)
            index += 1

      return vocab_file, merge_file







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




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







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None       ,	lowerCamelCase = False				):




      '''simple docstring'''




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

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







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




      _lowerCAmelCase					     =		[self.sep_token_id]
      _lowerCAmelCase					     =		[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 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase=False       ,	**lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		kwargs.pop("""add_prefix_space"""       ,	self.add_prefix_space				)
      if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase				) > 0 and not text[0].isspace()):
         _lowerCAmelCase					     =		""" """ + text
      return (text, kwargs)