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			      =    logging.get_logger(__name__)

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

__snake_case			      =    {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

__snake_case			      =    {
    '''roberta-base''': 5_12,
    '''roberta-large''': 5_12,
    '''roberta-large-mnli''': 5_12,
    '''distilroberta-base''': 5_12,
    '''roberta-base-openai-detector''': 5_12,
    '''roberta-large-openai-detector''': 5_12,
}





@lru_cache()
def   lowerCAmelCase_ (				)->  Union[str, Any]:






      '''simple docstring'''





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





def   lowerCAmelCase_ (				__lowerCAmelCase						)->  Any:






      '''simple docstring'''





      UpperCAmelCase    : Union[str, Any]      =set()
      UpperCAmelCase    : Dict      =word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)						)
            UpperCAmelCase    : Tuple      =char
      return pairs







class 			__snake_case   (     lowerCamelCase__   ):
 __lowerCamelCase    :   str     =      VOCAB_FILES_NAMES
 __lowerCamelCase    :   Optional[int]     =      PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase    :   Union[str, Any]     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase    :   Dict     =      ["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__		,   )	->							Tuple:
       '''simple docstring'''





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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       UpperCAmelCase    : int      =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						)	->							List[str]:
       '''simple docstring'''





       return len(self.encoder						)
 def 	UpperCAmelCase__       (  self						)	->							Any:
       '''simple docstring'''





       return dict(self.encoder		,   **self.added_tokens_encoder						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							Any:
       '''simple docstring'''





       if token in self.cache:
             return self.cache[token]
       UpperCAmelCase    : List[Any]      =tuple(UpperCAmelCase_						)
       UpperCAmelCase    : List[Any]      =get_pairs(UpperCAmelCase_						)

       if not pairs:
             return token

       while True:
             UpperCAmelCase    : Optional[int]      =min(UpperCAmelCase_		,   key=lambda snake_case__						: self.bpe_ranks.get(UpperCAmelCase_		,   float('''inf'''						)						)						)
             if bigram not in self.bpe_ranks:
                   break
             UpperCAmelCase    : Tuple      =bigram
             UpperCAmelCase    : Dict      =[]
             UpperCAmelCase    : Tuple      =0
             while i < len(UpperCAmelCase_						):
                   try:
                         UpperCAmelCase    : Optional[int]      =word.index(UpperCAmelCase_		,   UpperCAmelCase_						)
                   except ValueError:
                         new_word.extend(word[i:]						)
                         break
                   else:
                         new_word.extend(word[i:j]						)
                         UpperCAmelCase    : Tuple      =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    : Union[str, Any]      =tuple(UpperCAmelCase_						)
             UpperCAmelCase    : Dict      =new_word
             if len(UpperCAmelCase_						) == 1:
                   break
             else:
                   UpperCAmelCase    : str      =get_pairs(UpperCAmelCase_						)
       UpperCAmelCase    : int      =' '.join(UpperCAmelCase_						)
       UpperCAmelCase    : Optional[int]      =word
       return word
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							List[str]:
       '''simple docstring'''





       UpperCAmelCase    : Tuple      =[]
       for token in re.findall(self.pat		,   UpperCAmelCase_						):
             UpperCAmelCase    : List[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(UpperCAmelCase_						).split(''' '''						)						)
       return bpe_tokens
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							Union[str, Any]:
       '''simple docstring'''





       return self.encoder.get(UpperCAmelCase_		,   self.encoder.get(self.unk_token						)						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							Union[str, Any]:
       '''simple docstring'''





       return self.decoder.get(UpperCAmelCase_						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							Optional[Any]:
       '''simple docstring'''





       UpperCAmelCase    : Union[str, Any]      =''.join(UpperCAmelCase_						)
       UpperCAmelCase    : Tuple      =bytearray([self.byte_decoder[c] for c in text]						).decode('''utf-8'''		,   errors=self.errors						)
       return text
 def 	UpperCAmelCase__       (  self		,   snake_case__		,   snake_case__ = None						)	->							Optional[int]:
       '''simple docstring'''





       if not os.path.isdir(UpperCAmelCase_						):
             logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
             return
       UpperCAmelCase    : Any      =os.path.join(
           UpperCAmelCase_		,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)
       UpperCAmelCase    : Any      =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    : List[str]      =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 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!'''						)
                         UpperCAmelCase    : List[str]      =token_index
                   writer.write(''' '''.join(UpperCAmelCase_						) + '''\n'''						)
                   index += 1

       return vocab_file, merge_file
 def 	UpperCAmelCase__       (  self		,   snake_case__		,   snake_case__ = None						)	->							str:
       '''simple docstring'''





       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       UpperCAmelCase    : str      =[self.cls_token_id]
       UpperCAmelCase    : Dict      =[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep
 def 	UpperCAmelCase__       (  self		,   snake_case__		,   snake_case__ = None		,   snake_case__ = False						)	->							Any:
       '''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		,   snake_case__		,   snake_case__ = None						)	->							int:
       '''simple docstring'''





       UpperCAmelCase    : Any      =[self.sep_token_id]
       UpperCAmelCase    : List[str]      =[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		,   snake_case__		,   snake_case__=False		,   **snake_case__						)	->							str:
       '''simple docstring'''





       UpperCAmelCase    : Dict      =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    : Optional[int]      =' ' + text
       return (text, kwargs)

import math





def   lowerCAmelCase_ (				__lowerCAmelCase						)->  list[int]:






      '''simple docstring'''





      if not isinstance(__lowerCAmelCase		,					__lowerCAmelCase						):
            UpperCAmelCase    : Union[str, Any]      =f'''Input value of [number={number}] must be an integer'''
            raise TypeError(__lowerCAmelCase						)
      if number < 1:
            UpperCAmelCase    : Dict      =f'''Input value of [number={number}] must be a positive integer'''
            raise ValueError(__lowerCAmelCase						)
      UpperCAmelCase    : Dict      =[number]
      while number != 1:
            if number % 2 == 0:
                  UpperCAmelCase    : Optional[Any]      =math.floor(math.sqrt(__lowerCAmelCase						)						)
            else:
                  UpperCAmelCase    : List[str]      =math.floor(
                      math.sqrt(__lowerCAmelCase						) * math.sqrt(__lowerCAmelCase						) * math.sqrt(__lowerCAmelCase						)						)
            sequence.append(__lowerCAmelCase						)
      return sequence


if __name__ == "__main__":
     import doctest

     doctest.testmod()
