'''simple docstring'''





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase_			    =							logging.get_logger(__name__)


UpperCAmelCase_			    =							{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

UpperCAmelCase_			    =							{
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

UpperCAmelCase_			    =							{'''facebook/blenderbot_small-90M''': 5_1_2}




def       lowerCAmelCase_     (		lowercase:							Optional[int]		)    ->				Optional[int]:







 '''simple docstring'''
 _UpperCamelCase:     List[str]							= set()
 _UpperCamelCase:     Any							= word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)		)
  _UpperCamelCase:     Any							= char

 _UpperCamelCase:     str							= set(lowercase		)
 return pairs





class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    Optional[Any]  			=   VOCAB_FILES_NAMES
   lowerCAmelCase      :    Any  			=   PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase      :    List[Any]  			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase      :    List[str]  			=   ['''input_ids''', '''attention_mask''']



   def __init__(	self					:  Any		,  _lowercase					:  List[str]		,  _lowercase					:  Tuple		,  _lowercase					:  List[Any]="__start__"		,  _lowercase					:  int="__end__"		,  _lowercase					:  List[str]="__unk__"		,  _lowercase					:  Tuple="__null__"		,  **_lowercase					:  Dict		,  ):



    """simple docstring"""



    super().__init__(unk_token=_lowercase		,  bos_token=_lowercase		,  eos_token=_lowercase		,  pad_token=_lowercase		,  **_lowercase							)

    with open(_lowercase		,  encoding='''utf-8'''							) as vocab_handle:
     _UpperCamelCase:     Dict							= json.load(_lowercase							)
    _UpperCamelCase:     Optional[Any]							= {v: k for k, v in self.encoder.items()}
    with open(_lowercase		,  encoding='''utf-8'''							) as merges_handle:
     _UpperCamelCase:     Any							= merges_handle.read().split('''\n'''							)[1:-1]
    _UpperCamelCase:     int							= [tuple(merge.split()							) for merge in merges]
    _UpperCamelCase:     str							= dict(zip(_lowercase		,  range(len(_lowercase							)							)							)							)
    _UpperCamelCase:     Tuple							= {}



   @property
   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    return len(self.encoder							)



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



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



   def   lowerCAmelCase						(	self					:  int		,  _lowercase					:  str							):



    """simple docstring"""



    if token in self.cache:
     return self.cache[token]
    _UpperCamelCase:     Tuple							= re.sub('''([.,!?()])'''		,  R''' \1'''		,  _lowercase							)
    _UpperCamelCase:     List[Any]							= re.sub('''(\')'''		,  R''' \1 '''		,  _lowercase							)
    _UpperCamelCase:     Dict							= re.sub(R'''\s{2,}'''		,  ''' '''		,  _lowercase							)
    if "\n" in token:
     _UpperCamelCase:     Union[str, Any]							= token.replace('''\n'''		,  ''' __newln__'''							)

    _UpperCamelCase:     Tuple							= token.split(''' '''							)
    _UpperCamelCase:     str							= []
    for token in tokens:
     if not len(_lowercase							):
      continue

     _UpperCamelCase:     Any							= token.lower()
     _UpperCamelCase:     Union[str, Any]							= tuple(_lowercase							)
     _UpperCamelCase:     Union[str, Any]							= tuple(list(word[:-1]							) + [word[-1] + '''</w>''']							)
     _UpperCamelCase:     str							= get_pairs(_lowercase							)

     if not pairs:
      words.append(_lowercase							)
      continue

     while True:
      _UpperCamelCase:     Tuple							= min(_lowercase		,  key=lambda _lowercase							: self.bpe_ranks.get(_lowercase		,  float('''inf'''							)							)							)
      if bigram not in self.bpe_ranks:
       break
      _UpperCamelCase:     int							= bigram
      _UpperCamelCase:     Dict							= []
      _UpperCamelCase:     str							= 0

      while i < len(_lowercase							):
       try:
        _UpperCamelCase:     Optional[Any]							= word.index(_lowercase		,  _lowercase							)
        new_word.extend(word[i:j]							)
        _UpperCamelCase:     int							= j
       except ValueError:
        new_word.extend(word[i:]							)
        break

       if word[i] == first and i < len(_lowercase							) - 1 and word[i + 1] == second:
        new_word.append(first + second							)
        i += 2
       else:
        new_word.append(word[i]							)
        i += 1
      _UpperCamelCase:     Optional[Any]							= tuple(_lowercase							)
      _UpperCamelCase:     Optional[Any]							= new_word
      if len(_lowercase							) == 1:
       break
      else:
       _UpperCamelCase:     str							= get_pairs(_lowercase							)
     _UpperCamelCase:     int							= '''@@ '''.join(_lowercase							)
     _UpperCamelCase:     List[Any]							= word[:-4]

     _UpperCamelCase:     str							= word
     words.append(_lowercase							)
    return " ".join(_lowercase							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  str							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= []

    _UpperCamelCase:     Optional[Any]							= re.findall(R'''\S+\n?'''		,  _lowercase							)

    for token in words:
     split_tokens.extend(list(self.bpe(_lowercase							).split(''' '''							)							)							)
    return split_tokens



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  str							):



    """simple docstring"""



    _UpperCamelCase:     int							= token.lower()
    return self.encoder.get(_lowercase		,  self.encoder.get(self.unk_token							)							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  int							):



    """simple docstring"""



    return self.decoder.get(_lowercase		,  self.unk_token							)



   def   lowerCAmelCase						(	self					:  Optional[Any]		,  _lowercase					:  List[str]							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= ''' '''.join(_lowercase							).replace('''@@ '''		,  ''''''							).strip()
    return out_string



   def   lowerCAmelCase						(	self					:  Any		,  _lowercase					:  str		,  _lowercase					:  Optional[str] = None							):



    """simple docstring"""



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

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

    _UpperCamelCase:     str							= 0
    with open(_lowercase		,  '''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 _lowercase							: 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:     List[str]							= token_index
      writer.write(''' '''.join(_lowercase							) + '''\n'''							)
      index += 1

    return vocab_file, merge_file
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict




@pytest.mark.parametrize(
    '''split_dict'''  ,					[
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42  ,					dataset_name='''my_dataset'''		)}		),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42		)}		),
        SplitDict({'''train''': SplitInfo()}		),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							SplitDict		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     List[str]							= split_dict._to_yaml_list()
 assert len(lowercase		) == len(lowercase		)
 _UpperCamelCase:     Tuple							= SplitDict._from_yaml_list(lowercase		)
 for split_name, split_info in split_dict.items():
  # dataset_name field is deprecated, and is therefore not part of the YAML dump
  _UpperCamelCase:     Optional[Any]							= None
  # the split name of split_dict takes over the name of the split info object
  _UpperCamelCase:     Any							= split_name
 assert split_dict == reloaded





@pytest.mark.parametrize(
    '''split_info'''  ,					[SplitInfo(), SplitInfo(dataset_name=lowercase		), SplitInfo(dataset_name='''my_dataset'''		)]		)
def       lowerCAmelCase_     (		lowercase:							str		)    ->				Tuple:







 '''simple docstring'''
 # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
 # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
 _UpperCamelCase:     Optional[Any]							= asdict(SplitDict({'''train''': split_info}		)		)
 assert "dataset_name" in split_dict_asdict["train"]
 assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name