




import json
import os
from typing import Optional, Tuple

import regex as re

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


a_   		=     logging.get_logger(__name__)

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

a_   		=     {
    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
}

a_   		=     {
    "ctrl": 256,
}

a_   		=     {
    "Pregnancy": 16_8629,
    "Christianity": 7675,
    "Explain": 10_6423,
    "Fitness": 6_3440,
    "Saving": 6_3163,
    "Ask": 2_7171,
    "Ass": 9_5985,
    "Joke": 16_3509,
    "Questions": 4_5622,
    "Thoughts": 4_9605,
    "Retail": 5_2342,
    "Feminism": 16_4338,
    "Writing": 1_1992,
    "Atheism": 19_2263,
    "Netflix": 4_8616,
    "Computing": 3_9639,
    "Opinion": 4_3213,
    "Alone": 4_4967,
    "Funny": 5_8917,
    "Gaming": 4_0358,
    "Human": 4088,
    "India": 1331,
    "Joker": 7_7138,
    "Diet": 3_6206,
    "Legal": 1_1859,
    "Norman": 4939,
    "Tip": 7_2689,
    "Weight": 5_2343,
    "Movies": 4_6273,
    "Running": 2_3425,
    "Science": 2090,
    "Horror": 3_7793,
    "Confession": 6_0572,
    "Finance": 1_2250,
    "Politics": 1_6360,
    "Scary": 19_1985,
    "Support": 1_2654,
    "Technologies": 3_2516,
    "Teenage": 6_6160,
    "Event": 3_2769,
    "Learned": 6_7460,
    "Notion": 18_2770,
    "Wikipedia": 3_7583,
    "Books": 6665,
    "Extract": 7_6050,
    "Confessions": 10_2701,
    "Conspiracy": 7_5932,
    "Links": 6_3674,
    "Narcissus": 15_0425,
    "Relationship": 5_4766,
    "Relationships": 13_4796,
    "Reviews": 4_1671,
    "News": 4256,
    "Translation": 2_6820,
    "multilingual": 12_8406,
}




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	Optional[Any]:

    """simple docstring"""


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

    __UpperCamelCase  		=						set(lowercase_      )
    return pairs


class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: Union[str, Any]    =					VOCAB_FILES_NAMES
      lowerCAmelCase__			: str    =					PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__			: List[str]    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__			: str    =					CONTROL_CODES







      def __init__(     self					: str ,       snake_case					: Optional[int] ,       snake_case					: Union[str, Any] ,       snake_case					: str="<unk>" ,       **snake_case					: Union[str, Any]				):
          super().__init__(unk_token=snake_case ,       **snake_case				)

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







      @property
      def       snake_case	(     self					: Optional[int]				):
          return len(self.encoder				)







      def       snake_case	(     self					: Dict				):
          return dict(self.encoder ,       **self.added_tokens_encoder				)







      def       snake_case	(     self					: Any ,       snake_case					: Any				):
          if token in self.cache:
              return self.cache[token]
          __UpperCamelCase  		=						tuple(snake_case				)
          __UpperCamelCase  		=						tuple(list(word[:-1]				) + [word[-1] + '''</w>''']				)
          __UpperCamelCase  		=						get_pairs(snake_case				)

          if not pairs:
              return token

          while True:
              __UpperCamelCase  		=						min(snake_case ,       key=lambda snake_case				: self.bpe_ranks.get(snake_case ,       float('''inf'''				)				)				)
              if bigram not in self.bpe_ranks:
                  break
              __UpperCamelCase		,      __UpperCamelCase  		=						bigram
              __UpperCamelCase  		=						[]
              __UpperCamelCase  		=						0
              while i < len(snake_case				):
                  try:
                      __UpperCamelCase  		=						word.index(snake_case ,       snake_case				)
                  except ValueError:
                      new_word.extend(word[i:]				)
                      break
                  else:
                      new_word.extend(word[i:j]				)
                      __UpperCamelCase  		=						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
              __UpperCamelCase  		=						tuple(snake_case				)
              __UpperCamelCase  		=						new_word
              if len(snake_case				) == 1:
                  break
              else:
                  __UpperCamelCase  		=						get_pairs(snake_case				)
          __UpperCamelCase  		=						'''@@ '''.join(snake_case				)
          __UpperCamelCase  		=						word[:-4]
          __UpperCamelCase  		=						word
          return word







      def       snake_case	(     self					: int ,       snake_case					: Tuple				):
          __UpperCamelCase  		=						[]

          __UpperCamelCase  		=						re.findall(R'''\S+\n?''' ,       snake_case				)

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







      def       snake_case	(     self					: Union[str, Any] ,       snake_case					: Union[str, Any]				):
          return self.encoder.get(snake_case ,       self.encoder.get(self.unk_token				)				)







      def       snake_case	(     self					: Union[str, Any] ,       snake_case					: Optional[int]				):
          return self.decoder.get(snake_case ,       self.unk_token				)







      def       snake_case	(     self					: Optional[int] ,       snake_case					: Optional[int]				):
          __UpperCamelCase  		=						''' '''.join(snake_case				).replace('''@@ ''' ,       ''''''				).strip()
          return out_string







      def       snake_case	(     self					: Optional[int] ,       snake_case					: str ,       snake_case					: Optional[str] = None				):
          if not os.path.isdir(snake_case				):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"				)
              return
          __UpperCamelCase  		=						os.path.join(
              snake_case ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
          __UpperCamelCase  		=						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'''				)

          __UpperCamelCase  		=						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!'''				)
                      __UpperCamelCase  		=						token_index
                  writer.write(''' '''.join(snake_case				) + '''\n'''				)
                  index += 1

          return vocab_file, merge_file

      # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
      #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
      #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
      #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
      #     return ''.join(tokens_generated_so_far)












def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_ = False      )       ->	str:

    """simple docstring"""


    if not isinstance(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						F"Expected string as input, found {type(lowercase_      )}"
        raise ValueError(lowercase_      )
    if not isinstance(lowercase_					,     lowercase_      ):
        __UpperCamelCase  		=						F"Expected boolean as use_pascal parameter, found {type(lowercase_      )}"
        raise ValueError(lowercase_      )

    __UpperCamelCase  		=						input_str.split('''_'''      )

    __UpperCamelCase  		=						0 if use_pascal else 1

    __UpperCamelCase  		=						words[start_index:]

    __UpperCamelCase  		=						[word[0].upper() + word[1:] for word in words_to_capitalize]

    __UpperCamelCase  		=						'''''' if use_pascal else words[0]

    return "".join([initial_word, *capitalized_words]      )


if __name__ == "__main__":
 from doctest import testmod

 testmod()






