




import json
import os
from typing import Optional, Tuple

import regex as re

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


_lowerCamelCase	:		Tuple							       =   logging.get_logger(__name__)

_lowerCamelCase	:		Optional[Any]							       =   {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_lowerCamelCase	:		Union[str, Any]							       =   {
    """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"""},
}

_lowerCamelCase	:		Optional[Any]							       =   {
    """ctrl""": 256,
}

_lowerCamelCase	:		Tuple							       =   {
    """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 SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       List[str]:



       """simple docstring"""

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

       A__       =    set(lowercase_						)
       return pairs


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      VOCAB_FILES_NAMES
    UpperCAmelCase__							  =      PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__							  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__							  =      CONTROL_CODES


    def __init__(			self      :	str					, UpperCAmelCase__      :	List[str]					, UpperCAmelCase__      :	Tuple					, UpperCAmelCase__      :	Union[str, Any]="<unk>"					, **UpperCAmelCase__      :	List[Any])						->List[str]:





           '''simple docstring'''

           super().__init__(unk_token=UpperCAmelCase__					, **UpperCAmelCase__)

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


    @property
    def        SCREAMING_SNAKE_CASE							(			self      :	List[Any])						->Union[str, Any]:





           '''simple docstring'''

           return len(self.encoder)


    def        SCREAMING_SNAKE_CASE							(			self      :	List[Any])						->Dict:





           '''simple docstring'''

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


    def        SCREAMING_SNAKE_CASE							(			self      :	str					, UpperCAmelCase__      :	List[Any])						->Optional[Any]:





           '''simple docstring'''

           if token in self.cache:
                  return self.cache[token]
           A__       =    tuple(UpperCAmelCase__)
           A__       =    tuple(list(word[:-1]) + [word[-1] + '''</w>'''])
           A__       =    get_pairs(UpperCAmelCase__)

           if not pairs:
                  return token

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


    def        SCREAMING_SNAKE_CASE							(			self      :	str					, UpperCAmelCase__      :	Any)						->Optional[int]:





           '''simple docstring'''

           A__       =    []

           A__       =    re.findall(R'''\S+\n?'''					, UpperCAmelCase__)

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


    def        SCREAMING_SNAKE_CASE							(			self      :	Optional[Any]					, UpperCAmelCase__      :	List[str])						->Any:





           '''simple docstring'''

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


    def        SCREAMING_SNAKE_CASE							(			self      :	Optional[int]					, UpperCAmelCase__      :	str)						->int:





           '''simple docstring'''

           return self.decoder.get(UpperCAmelCase__					, self.unk_token)


    def        SCREAMING_SNAKE_CASE							(			self      :	Tuple					, UpperCAmelCase__      :	Tuple)						->Union[str, Any]:





           '''simple docstring'''

           A__       =    ''' '''.join(UpperCAmelCase__).replace('''@@ '''					, '''''').strip()
           return out_string





    def        SCREAMING_SNAKE_CASE							(			self      :	Any					, UpperCAmelCase__      :	str					, UpperCAmelCase__      :	Optional[str] = None)						->Tuple[str]:





           '''simple docstring'''

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

           A__       =    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 UpperCAmelCase__: 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(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)








def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       Any:



       """simple docstring"""

       A__       =    [0] * len(lowercase_						)
       A__       =    []
       A__       =    [1] * len(lowercase_						)

       for values in graph.values():
              for i in values:
                     indegree[i] += 1

       for i in range(len(lowercase_						)						):
              if indegree[i] == 0:
                     queue.append(lowercase_						)

       while queue:
              A__       =    queue.pop(0						)
              for x in graph[vertex]:
                     indegree[x] -= 1

                     if long_dist[vertex] + 1 > long_dist[x]:
                            A__       =    long_dist[vertex] + 1

                     if indegree[x] == 0:
                            queue.append(lowercase_						)

       print(max(lowercase_						)						)


# Adjacency list of Graph
_lowerCamelCase	:		Optional[int]							       =   {0: [2, 3, 4], 1: [2, 7], 2: [5], 3: [5, 7], 4: [7], 5: [6], 6: [7], 7: []}
longest_distance(graph)


