
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

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


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation

lowercase_							:    Dict         =						logging.get_logger(__name__)


lowercase_							:    List[str]         =						{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowercase_							:    Any         =						{
    '''vocab_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'''},
    '''merges_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'''},
    '''tokenizer_config_file''': {
        '''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'''
    },
}

lowercase_							:    Optional[Any]         =						{'''facebook/blenderbot-3B''': 1_28}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def  _lowerCAmelCase     (  )	->     Optional[Any]:
  _SCREAMING_SNAKE_CASE :					str				     =			(
      list(range(ord("!"					),    ord("~"					) + 1					)					) + list(range(ord("¡"					),    ord("¬"					) + 1					)					) + list(range(ord("®"					),    ord("ÿ"					) + 1					)					)
  )
  _SCREAMING_SNAKE_CASE :					List[Any]				     =			bs[:]
  _SCREAMING_SNAKE_CASE :					Tuple				     =			0
  for b in range(2**8					):
    if b not in bs:
      bs.append(lowerCamelCase__					)
      cs.append(2**8 + n					)
      n += 1
  _SCREAMING_SNAKE_CASE :					Dict				     =			[chr(lowerCamelCase__					) for n in cs]
  return dict(zip(lowerCamelCase__,    lowerCamelCase__					)					)





def  _lowerCAmelCase     (  lowerCamelCase__				:				List[str]					)	->     Any:
  _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			set()
  _SCREAMING_SNAKE_CASE :					str				     =			word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)					)
    _SCREAMING_SNAKE_CASE :					Dict				     =			char
  return pairs





class       UpperCamelCase   (				__a	):
     A__			  =      VOCAB_FILES_NAMES
     A__			  =      PRETRAINED_VOCAB_FILES_MAP
     A__			  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A__			  =      ['''input_ids''', '''attention_mask''']
     def __init__(  self	,  snake_case__	,  snake_case__	,  snake_case__="replace"	,  snake_case__="<s>"	,  snake_case__="</s>"	,  snake_case__="</s>"	,  snake_case__="<s>"	,  snake_case__="<unk>"	,  snake_case__="<pad>"	,  snake_case__="<mask>"	,  snake_case__=False	,  **snake_case__	,  ):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Union[str, Any]				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else bos_token
       _SCREAMING_SNAKE_CASE :					Any				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else eos_token
       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else sep_token
       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else cls_token
       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else unk_token
       _SCREAMING_SNAKE_CASE :					List[Any]				     =			AddedToken(_lowercase	,  lstrip=_lowercase	,  rstrip=_lowercase					) if isinstance(_lowercase	,  _lowercase					) else pad_token

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

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

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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       _SCREAMING_SNAKE_CASE :					Any				     =			re.compile(r"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"					)
     @property
     # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
     def 					__SCREAMING_SNAKE_CASE				(  self					):




       """simple docstring"""


       return len(self.encoder					)
     def 					__SCREAMING_SNAKE_CASE				(  self					):




       """simple docstring"""


       return dict(self.encoder	,  **self.added_tokens_encoder					)
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       if token in self.cache:
         return self.cache[token]
       _SCREAMING_SNAKE_CASE :					Tuple				     =			tuple(_lowercase					)
       _SCREAMING_SNAKE_CASE :					Any				     =			get_pairs(_lowercase					)

       if not pairs:
         return token

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

           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
         _SCREAMING_SNAKE_CASE :					int				     =			tuple(_lowercase					)
         _SCREAMING_SNAKE_CASE :					Tuple				     =			new_word
         if len(_lowercase					) == 1:
           break
         else:
           _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			get_pairs(_lowercase					)
       _SCREAMING_SNAKE_CASE :					Optional[int]				     =			''' '''.join(_lowercase					)
       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			word
       return word
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Union[str, Any]				     =			[]
       for token in re.findall(self.pat	,  _lowercase					):
         _SCREAMING_SNAKE_CASE :					Union[str, 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(_lowercase					).split(" "					)					)
       return bpe_tokens
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       return self.encoder.get(_lowercase	,  self.encoder.get(self.unk_token					)					)
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       return self.decoder.get(_lowercase					)
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Tuple				     =			''''''.join(_lowercase					)
       _SCREAMING_SNAKE_CASE :					Any				     =			bytearray([self.byte_decoder[c] for c in text]					).decode("utf-8"	,  errors=self.errors					)
       return text
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__	,  snake_case__ = None					):




       """simple docstring"""


       if not os.path.isdir(_lowercase					):
         logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
         return
       _SCREAMING_SNAKE_CASE :					Optional[int]				     =			os.path.join(
           _lowercase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)
       _SCREAMING_SNAKE_CASE :					List[str]				     =			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"					)

       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			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 snake_case__					: 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!"					)
             _SCREAMING_SNAKE_CASE :					str				     =			token_index
           writer.write(" ".join(_lowercase					) + "\n"					)
           index += 1

       return vocab_file, merge_file
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__	,  snake_case__ = None	,  snake_case__ = False					):




       """simple docstring"""


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

       if token_ids_a is None:
         return [1] + ([0] * len(_lowercase					)) + [1]
       return [1] + ([0] * len(_lowercase					)) + [1, 1] + ([0] * len(_lowercase					)) + [1]
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__	,  snake_case__ = None					):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			[self.sep_token_id]
       _SCREAMING_SNAKE_CASE :					Any				     =			[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 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__	,  snake_case__=False	,  **snake_case__					):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			kwargs.pop("add_prefix_space"	,  self.add_prefix_space					)
       if (is_split_into_words or add_prefix_space) and (len(_lowercase					) > 0 and not text[0].isspace()):
         _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			''' ''' + text
       return (text, kwargs)
     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__	,  snake_case__ = None					):




       """simple docstring"""


       return token_ids_a + [self.eos_token_id]




     def 					__SCREAMING_SNAKE_CASE				(  self	,  snake_case__					):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE :					Dict				     =			[]
       for is_user, text in conversation.iter_texts():
         if is_user:
           # We need to space prefix as it's being done within blenderbot
           inputs.append(" " + text					)
         else:
           # Generated responses should contain them already.
           inputs.append(_lowercase					)

       _SCREAMING_SNAKE_CASE :					str				     =			'''  '''.join(_lowercase					)
       _SCREAMING_SNAKE_CASE :					Dict				     =			self.encode(_lowercase					)
       if len(_lowercase					) > self.model_max_length:
         _SCREAMING_SNAKE_CASE :					Dict				     =			input_ids[-self.model_max_length :]
         logger.warning(F'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''					)
       return input_ids




from pathlib import Path

import fire




def    lowerCAmelCase_  (		lowercase:				str	,       lowercase:				str	,       lowercase:				int		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			Path(lowercase		)
 _UpperCamelCase:  int    						=			Path(lowercase		)
 dest_dir.mkdir(exist_ok=lowercase		)
 for path in src_dir.iterdir():
  _UpperCamelCase:  List[str]    						=			[x.rstrip() for x in list(path.open().readlines()		)][:n]
  _UpperCamelCase:  int    						=			dest_dir.joinpath(path.name		)
  print(lowercase		)
  dest_path.open('''w'''		).write('''\n'''.join(lowercase		)		)


if __name__ == "__main__":
  fire.Fire(minify)