

'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

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


lowercase__         =	logging.get_logger(__name__)

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

lowercase__         =	{
    "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"},
}

lowercase__         =	{
    "ctrl": 256,
}

lowercase__         =	{
    "Pregnancy": 168629,
    "Christianity": 7675,
    "Explain": 106423,
    "Fitness": 63440,
    "Saving": 63163,
    "Ask": 27171,
    "Ass": 95985,
    "Joke": 163509,
    "Questions": 45622,
    "Thoughts": 49605,
    "Retail": 52342,
    "Feminism": 164338,
    "Writing": 11992,
    "Atheism": 192263,
    "Netflix": 48616,
    "Computing": 39639,
    "Opinion": 43213,
    "Alone": 44967,
    "Funny": 58917,
    "Gaming": 40358,
    "Human": 4088,
    "India": 1331,
    "Joker": 77138,
    "Diet": 36206,
    "Legal": 11859,
    "Norman": 4939,
    "Tip": 72689,
    "Weight": 52343,
    "Movies": 46273,
    "Running": 23425,
    "Science": 2090,
    "Horror": 37793,
    "Confession": 60572,
    "Finance": 12250,
    "Politics": 16360,
    "Scary": 191985,
    "Support": 12654,
    "Technologies": 32516,
    "Teenage": 66160,
    "Event": 32769,
    "Learned": 67460,
    "Notion": 182770,
    "Wikipedia": 37583,
    "Books": 6665,
    "Extract": 76050,
    "Confessions": 102701,
    "Conspiracy": 75932,
    "Links": 63674,
    "Narcissus": 150425,
    "Relationship": 54766,
    "Relationships": 134796,
    "Reviews": 41671,
    "News": 4256,
    "Translation": 26820,
    "multilingual": 128406,
}




def 				UpperCamelCase(					UpperCAmelCase_     ):
 UpperCAmelCase	:     List[str]						 =			set()
 UpperCAmelCase	:     Union[str, Any]						 =			word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)     )
  UpperCAmelCase	:     List[str]						 =			char

 UpperCAmelCase	:     int						 =			set(lowerCAmelCase__     )
 return pairs




class 	A_			(    __SCREAMING_SNAKE_CASE							):






     '''simple docstring'''



     UpperCAmelCase_						:     Tuple  		=  VOCAB_FILES_NAMES
     UpperCAmelCase_						:     List[str]  		=  PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase_						:     Optional[int]  		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase_						:     Tuple  		=  CONTROL_CODES


     def __init__(		self			:					Optional[Any]					,      lowercase_			:					Any					,      lowercase_			:					Any					,      lowercase_			:					str="<unk>"					,      **lowercase_			:					Any	)						->     str:
      super().__init__(unk_token=__UpperCAmelCase					,      **__UpperCAmelCase	)

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


     @property
     def        UpperCAmelCase_	(		self			:					Union[str, Any]	)						->     Optional[Any]:
      return len(self.encoder	)


     def        UpperCAmelCase_	(		self			:					int	)						->     Optional[Any]:
      return dict(self.encoder					,      **self.added_tokens_encoder	)


     def        UpperCAmelCase_	(		self			:					str					,      lowercase_			:					List[str]	)						->     List[str]:
      if token in self.cache:
       return self.cache[token]
      UpperCAmelCase	:     str						 =			tuple(__UpperCAmelCase	)
      UpperCAmelCase	:     Tuple						 =			tuple(list(word[:-1]	) + [word[-1] + '</w>']	)
      UpperCAmelCase	:     Dict						 =			get_pairs(__UpperCAmelCase	)

      if not pairs:
       return token

      while True:
       UpperCAmelCase	:     Dict						 =			min(__UpperCAmelCase					,      key=lambda lowercase_	: self.bpe_ranks.get(__UpperCAmelCase					,      float('inf'	)	)	)
       if bigram not in self.bpe_ranks:
        break
       UpperCAmelCase	:     Any						 =			bigram
       UpperCAmelCase	:     List[str]						 =			[]
       UpperCAmelCase	:     Optional[int]						 =			0
       while i < len(__UpperCAmelCase	):
        try:
         UpperCAmelCase	:     Tuple						 =			word.index(__UpperCAmelCase					,      __UpperCAmelCase	)
        except ValueError:
         new_word.extend(word[i:]	)
         break
        else:
         new_word.extend(word[i:j]	)
         UpperCAmelCase	:     str						 =			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	:     List[Any]						 =			tuple(__UpperCAmelCase	)
       UpperCAmelCase	:     Any						 =			new_word
       if len(__UpperCAmelCase	) == 1:
        break
       else:
        UpperCAmelCase	:     Dict						 =			get_pairs(__UpperCAmelCase	)
      UpperCAmelCase	:     Any						 =			"""@@ """.join(__UpperCAmelCase	)
      UpperCAmelCase	:     Tuple						 =			word[:-4]
      UpperCAmelCase	:     Optional[int]						 =			word
      return word


     def        UpperCAmelCase_	(		self			:					Tuple					,      lowercase_			:					str	)						->     Dict:
      UpperCAmelCase	:     str						 =			[]

      UpperCAmelCase	:     Union[str, Any]						 =			re.findall(R'\S+\n?'					,      __UpperCAmelCase	)

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


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					Dict	)						->     Dict:
      return self.encoder.get(__UpperCAmelCase					,      self.encoder.get(self.unk_token	)	)


     def        UpperCAmelCase_	(		self			:					Optional[Any]					,      lowercase_			:					Optional[int]	)						->     str:
      return self.decoder.get(__UpperCAmelCase					,      self.unk_token	)


     def        UpperCAmelCase_	(		self			:					str					,      lowercase_			:					Union[str, Any]	)						->     List[Any]:
      UpperCAmelCase	:     Any						 =			""" """.join(__UpperCAmelCase	).replace('@@ '					,      ''	).strip()
      return out_string




     def        UpperCAmelCase_	(		self			:					str					,      lowercase_			:					Union[str, Any]					,      lowercase_			:					Optional[int] = None	)						->     Tuple[str]:
      if not os.path.isdir(__UpperCAmelCase	):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""	)
       return
      UpperCAmelCase	:     List[Any]						 =			os.path.join(
          __UpperCAmelCase					,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)
      UpperCAmelCase	:     Optional[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	:     Tuple						 =			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 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	:     Optional[int]						 =			token_index
        writer.write(' '.join(__UpperCAmelCase	) + '\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)







'''simple docstring'''

from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

lowercase__         =      TypeVar("KEY")
lowercase__         =      TypeVar("VAL")




@dataclass(frozen=_snake_case	,       slots=_snake_case							)
class 	A_			(    Generic[KEY, VAL]							):






     '''simple docstring'''



     UpperCAmelCase_						:     KEY
     UpperCAmelCase_						:     VAL




class 	A_			(    _Item							):






     '''simple docstring'''



     def __init__(		self			:					Any	)						->     None:
      super().__init__(lowercase_					,      lowercase_	)




     def __bool__(		self			:					List[str]	)						->     bool:
      return False



lowercase__         =      _DeletedItem()




class 	A_			(    MutableMapping[KEY, VAL]							):






     '''simple docstring'''



     def __init__(		self			:					Optional[int]					,      lowercase_			:					int = 8					,      lowercase_			:					float = 0.75	)						->     None:
      UpperCAmelCase	:     Dict						 =			initial_block_size
      UpperCAmelCase	:     list[_Item | None]						 =			[None] * initial_block_size
      assert 0.0 < capacity_factor < 1.0
      UpperCAmelCase	:     Any						 =			capacity_factor
      UpperCAmelCase	:     Union[str, Any]						 =			0


     def        UpperCAmelCase_	(		self			:					str					,      lowercase_			:					KEY	)						->     int:
      return hash(lowercase_	) % len(self._buckets	)


     def        UpperCAmelCase_	(		self			:					Any					,      lowercase_			:					int	)						->     int:
      return (ind + 1) % len(self._buckets	)


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					int					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     bool:
      UpperCAmelCase	:     List[Any]						 =			self._buckets[ind]
      if not stored:
       UpperCAmelCase	:     Dict						 =			_Item(lowercase_					,      lowercase_	)
       self._len += 1
       return True
      elif stored.key == key:
       UpperCAmelCase	:     Dict						 =			_Item(lowercase_					,      lowercase_	)
       return True
      else:
       return False


     def        UpperCAmelCase_	(		self			:					Any	)						->     bool:
      UpperCAmelCase	:     List[str]						 =			len(self._buckets	) * self._capacity_factor
      return len(self	) >= int(lowercase_	)


     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     bool:
      if len(self._buckets	) <= self._initial_block_size:
       return False
      UpperCAmelCase	:     Optional[int]						 =			len(self._buckets	) * self._capacity_factor / 2
      return len(self	) < limit


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					int	)						->     None:
      UpperCAmelCase	:     int						 =			self._buckets
      UpperCAmelCase	:     List[str]						 =			[None] * new_size
      UpperCAmelCase	:     Dict						 =			0
      for item in old_buckets:
       if item:
        self._add_item(item.key					,      item.val	)


     def        UpperCAmelCase_	(		self			:					Dict	)						->     None:
      self._resize(len(self._buckets	) * 2	)


     def        UpperCAmelCase_	(		self			:					Union[str, Any]	)						->     None:
      self._resize(len(self._buckets	) // 2	)


     def        UpperCAmelCase_	(		self			:					Union[str, Any]					,      lowercase_			:					KEY	)						->     Iterator[int]:
      UpperCAmelCase	:     Dict						 =			self._get_bucket_index(lowercase_	)
      for _ in range(len(self._buckets	)	):
       yield ind
       UpperCAmelCase	:     Union[str, Any]						 =			self._get_next_ind(lowercase_	)


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     None:
      for ind in self._iterate_buckets(lowercase_	):
       if self._try_set(lowercase_					,      lowercase_					,      lowercase_	):
        break


     def __setitem__(		self			:					Union[str, Any]					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     None:
      if self._is_full():
       self._size_up()

      self._add_item(lowercase_					,      lowercase_	)


     def __delitem__(		self			:					Tuple					,      lowercase_			:					KEY	)						->     None:
      for ind in self._iterate_buckets(lowercase_	):
       UpperCAmelCase	:     int						 =			self._buckets[ind]
       if item is None:
        raise KeyError(lowercase_	)
       if item is _deleted:
        continue
       if item.key == key:
        UpperCAmelCase	:     Union[str, Any]						 =			_deleted
        self._len -= 1
        break
      if self._is_sparse():
       self._size_down()


     def __getitem__(		self			:					Dict					,      lowercase_			:					KEY	)						->     VAL:
      for ind in self._iterate_buckets(lowercase_	):
       UpperCAmelCase	:     List[str]						 =			self._buckets[ind]
       if item is None:
        break
       if item is _deleted:
        continue
       if item.key == key:
        return item.val
      raise KeyError(lowercase_	)


     def __len__(		self			:					Optional[Any]	)						->     int:
      return self._len


     def __iter__(		self			:					int	)						->     Iterator[KEY]:
      yield from (item.key for item in self._buckets if item)




     def __repr__(		self			:					Optional[Any]	)						->     str:
      UpperCAmelCase	:     int						 =			' ,'.join(
          f"""{item.key}: {item.val}""" for item in self._buckets if item	)
      return f"""HashMap({val_string})"""




