"""simple docstring"""



from transformers import PretrainedConfig

class SCREAMING_SNAKE_CASE     (    a	):







 """simple docstring"""


 a_       :	List[str]  			="custom"


 def __init__(   self		:      List[Any]					,   _snake_case		:      Any=1					,   **_snake_case		:      Optional[int]				)				->			int:




    '''simple docstring'''






    a__     				=		attribute
    super().__init__(**_snake_case				)

class SCREAMING_SNAKE_CASE     (    a	):







 """simple docstring"""


 a_       :	Optional[Any]  			="custom"


 def __init__(   self		:      Union[str, Any]					,   _snake_case		:      List[str]=1					,   **_snake_case		:      Optional[int]				)				->			List[Any]:




    '''simple docstring'''






    a__     				=		attribute



"""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

__magic_name__    				=					logging.get_logger(__name__)

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

__magic_name__    				=					{
    "vocab_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/vocab.json",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/vocab.json",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/vocab.json",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/vocab.json",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/vocab.json",
    },
    "merges_file": {
        "gpt2": "https://huggingface.co/gpt2/resolve/main/merges.txt",
        "gpt2-medium": "https://huggingface.co/gpt2-medium/resolve/main/merges.txt",
        "gpt2-large": "https://huggingface.co/gpt2-large/resolve/main/merges.txt",
        "gpt2-xl": "https://huggingface.co/gpt2-xl/resolve/main/merges.txt",
        "distilgpt2": "https://huggingface.co/distilgpt2/resolve/main/merges.txt",
    },
}

__magic_name__    				=					{
    "gpt2": 1_024,
    "gpt2-medium": 1_024,
    "gpt2-large": 1_024,
    "gpt2-xl": 1_024,
    "distilgpt2": 1_024,
}





@lru_cache()
def   _lowerCamelCase ( )							->     int:


   '''simple docstring'''


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





def   _lowerCamelCase ( UpperCAmelCase__					)							->     List[str]:


   '''simple docstring'''


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




class SCREAMING_SNAKE_CASE     (    a	):







 """simple docstring"""


 a_       :	Union[str, Any]  			=VOCAB_FILES_NAMES
 a_       :	Optional[Any]  			=PRETRAINED_VOCAB_FILES_MAP
 a_       :	Dict  			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 a_       :	str  			=["input_ids", "attention_mask"]


 def __init__(   self		:      Optional[int]					,   _snake_case		:      List[str]					,   _snake_case		:      Any					,   _snake_case		:      Union[str, Any]="replace"					,   _snake_case		:      Tuple="<|endoftext|>"					,   _snake_case		:      Optional[int]="<|endoftext|>"					,   _snake_case		:      Any="<|endoftext|>"					,   _snake_case		:      Dict=None					,   _snake_case		:      List[str]=False					,   _snake_case		:      Optional[int]=False					,   **_snake_case		:      Any					,   )				->			Optional[int]:




    '''simple docstring'''






    a__     				=		AddedToken(_snake_case					,   lstrip=_snake_case					,   rstrip=_snake_case				) if isinstance(_snake_case					,   _snake_case				) else bos_token
    a__     				=		AddedToken(_snake_case					,   lstrip=_snake_case					,   rstrip=_snake_case				) if isinstance(_snake_case					,   _snake_case				) else eos_token
    a__     				=		AddedToken(_snake_case					,   lstrip=_snake_case					,   rstrip=_snake_case				) if isinstance(_snake_case					,   _snake_case				) else unk_token
    a__     				=		AddedToken(_snake_case					,   lstrip=_snake_case					,   rstrip=_snake_case				) if isinstance(_snake_case					,   _snake_case				) else pad_token
    super().__init__(
        errors=_snake_case					,   unk_token=_snake_case					,   bos_token=_snake_case					,   eos_token=_snake_case					,   pad_token=_snake_case					,   add_prefix_space=_snake_case					,   add_bos_token=_snake_case					,   **_snake_case					,   )
    a__     				=		add_bos_token

    with open(_snake_case					,   encoding='utf-8'				) as vocab_handle:
       a__     				=		json.load(_snake_case				)
    a__     				=		{v: k for k, v in self.encoder.items()}
    a__     				=		errors  # how to handle errors in decoding
    a__     				=		bytes_to_unicode()
    a__     				=		{v: k for k, v in self.byte_encoder.items()}
    with open(_snake_case					,   encoding='utf-8'				) as merges_handle:
       a__     				=		merges_handle.read().split('\n'				)[1:-1]
    a__     				=		[tuple(merge.split()				) for merge in bpe_merges]
    a__     				=		dict(zip(_snake_case					,   range(len(_snake_case				)				)				)				)
    a__     				=		{}
    a__     				=		add_prefix_space

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    a__     				=		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		:      Tuple				)				->			Optional[int]:




    '''simple docstring'''






    return len(self.encoder				)


 def        _lowerCAmelCase				(   self		:      Tuple				)				->			Any:




    '''simple docstring'''






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


 def        _lowerCAmelCase				(   self		:      str					,   _snake_case		:      Union[str, Any]				)				->			str:




    '''simple docstring'''






    if token in self.cache:
       return self.cache[token]
    a__     				=		tuple(_snake_case				)
    a__     				=		get_pairs(_snake_case				)

    if not pairs:
       return token

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

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


 def        _lowerCAmelCase				(   self		:      List[Any]					,   _snake_case		:      Dict					,   _snake_case		:      List[Any]=None				)				->			List[Any]:




    '''simple docstring'''






    if self.add_bos_token:
       a__     				=		[self.bos_token_id]
    else:
       a__     				=		[]

    a__     				=		bos_token_ids + token_ids_a

    if token_ids_a is None:
       return output

    return output + bos_token_ids + token_ids_a


 def        _lowerCAmelCase				(   self		:      Any					,   _snake_case		:      List[int]					,   _snake_case		:      Optional[List[int]] = None					,   _snake_case		:      bool = False				)				->			List[int]:




    '''simple docstring'''






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

    if not self.add_bos_token:
       return super().get_special_tokens_mask(
           token_ids_a=_snake_case					,   token_ids_a=_snake_case					,   already_has_special_tokens=_snake_case				)

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


 def        _lowerCAmelCase				(   self		:      Dict					,   _snake_case		:      Optional[Any]				)				->			Tuple:




    '''simple docstring'''






    a__     				=		[]
    for token in re.findall(self.pat					,   _snake_case				):
       a__     				=		''.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(_snake_case				).split(' '				)				)
    return bpe_tokens


 def        _lowerCAmelCase				(   self		:      Optional[Any]					,   _snake_case		:      Tuple				)				->			int:




    '''simple docstring'''






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


 def        _lowerCAmelCase				(   self		:      List[Any]					,   _snake_case		:      int				)				->			List[str]:




    '''simple docstring'''






    return self.decoder.get(_snake_case				)


 def        _lowerCAmelCase				(   self		:      Tuple					,   _snake_case		:      Any				)				->			Optional[Any]:




    '''simple docstring'''






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


 def        _lowerCAmelCase				(   self		:      Optional[int]					,   _snake_case		:      str					,   _snake_case		:      Optional[str] = None				)				->			Tuple[str]:




    '''simple docstring'''






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

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

    a__     				=		0
    with open(_snake_case					,   '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!'				)
             a__     				=		token_index
          writer.write(' '.join(_snake_case				) + '\n'				)
          index += 1

    return vocab_file, merge_file


 def        _lowerCAmelCase				(   self		:      int					,   _snake_case		:      Union[str, Any]					,   _snake_case		:      List[Any]=False					,   **_snake_case		:      Optional[int]				)				->			Union[str, Any]:




    '''simple docstring'''






    a__     				=		kwargs.pop('add_prefix_space'					,   self.add_prefix_space				)
    if is_split_into_words or add_prefix_space:
       a__     				=		' ' + text
    return (text, kwargs)



 def        _lowerCAmelCase				(   self		:      Dict					,   _snake_case		:      "Conversation"				)				->			List[int]:




    '''simple docstring'''






    a__     				=		[]
    for is_user, text in conversation.iter_texts():
       input_ids.extend(self.encode(_snake_case					,   add_special_tokens=_snake_case				) + [self.eos_token_id]				)
    if len(_snake_case				) > self.model_max_length:
       a__     				=		input_ids[-self.model_max_length :]
    return input_ids


