





import json
import os
from typing import Optional, Tuple

import regex as re

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


_UpperCAmelCase				:       str	   =				logging.get_logger(__name__)

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

_UpperCAmelCase				:       List[str]	   =				{
    """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"""},
}

_UpperCAmelCase				:       str	   =				{
    """ctrl""": 2_56,
}

_UpperCAmelCase				:       Tuple	   =				{
    """Pregnancy""": 16_86_29,
    """Christianity""": 76_75,
    """Explain""": 10_64_23,
    """Fitness""": 6_34_40,
    """Saving""": 6_31_63,
    """Ask""": 2_71_71,
    """Ass""": 9_59_85,
    """Joke""": 16_35_09,
    """Questions""": 4_56_22,
    """Thoughts""": 4_96_05,
    """Retail""": 5_23_42,
    """Feminism""": 16_43_38,
    """Writing""": 1_19_92,
    """Atheism""": 19_22_63,
    """Netflix""": 4_86_16,
    """Computing""": 3_96_39,
    """Opinion""": 4_32_13,
    """Alone""": 4_49_67,
    """Funny""": 5_89_17,
    """Gaming""": 4_03_58,
    """Human""": 40_88,
    """India""": 13_31,
    """Joker""": 7_71_38,
    """Diet""": 3_62_06,
    """Legal""": 1_18_59,
    """Norman""": 49_39,
    """Tip""": 7_26_89,
    """Weight""": 5_23_43,
    """Movies""": 4_62_73,
    """Running""": 2_34_25,
    """Science""": 20_90,
    """Horror""": 3_77_93,
    """Confession""": 6_05_72,
    """Finance""": 1_22_50,
    """Politics""": 1_63_60,
    """Scary""": 19_19_85,
    """Support""": 1_26_54,
    """Technologies""": 3_25_16,
    """Teenage""": 6_61_60,
    """Event""": 3_27_69,
    """Learned""": 6_74_60,
    """Notion""": 18_27_70,
    """Wikipedia""": 3_75_83,
    """Books""": 66_65,
    """Extract""": 7_60_50,
    """Confessions""": 10_27_01,
    """Conspiracy""": 7_59_32,
    """Links""": 6_36_74,
    """Narcissus""": 15_04_25,
    """Relationship""": 5_47_66,
    """Relationships""": 13_47_96,
    """Reviews""": 4_16_71,
    """News""": 42_56,
    """Translation""": 2_68_20,
    """multilingual""": 12_84_06,
}


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     Optional[Any]:
    lowerCamelCase__    :      str					 =		set()
    lowerCamelCase__    :      Tuple					 =		word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        lowerCamelCase__    :      int					 =		char

    lowerCamelCase__    :      Union[str, Any]					 =		set(_UpperCAmelCase )
    return pairs


class    lowerCAmelCase							(					__UpperCamelCase			):
 UpperCAmelCase__													=		VOCAB_FILES_NAMES
 UpperCAmelCase__													=		PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase__													=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase__													=		CONTROL_CODES
 def __init__(      self  :      List[str]			,     UpperCAmelCase  :      List[str]			,     UpperCAmelCase  :      Any			,     UpperCAmelCase  :      str="<unk>"			,     **UpperCAmelCase  :      Union[str, Any]	)			->	List[str]:
     super().__init__(unk_token=UpperCAmelCase			,     **UpperCAmelCase	)

     with open(UpperCAmelCase			,     encoding='utf-8'	) as vocab_handle:
         lowerCamelCase__    :      Optional[int]					 =		json.load(UpperCAmelCase	)
     lowerCamelCase__    :      Any					 =		{v: k for k, v in self.encoder.items()}
     with open(UpperCAmelCase			,     encoding='utf-8'	) as merges_handle:
         lowerCamelCase__    :      Optional[Any]					 =		merges_handle.read().split('\n'	)[1:-1]
     lowerCamelCase__    :      Any					 =		[tuple(merge.split()	) for merge in merges]
     lowerCamelCase__    :      List[Any]					 =		dict(zip(UpperCAmelCase			,     range(len(UpperCAmelCase	)	)	)	)
     lowerCamelCase__    :      List[Any]					 =		{}
 @property
 def      A_	(      self  :      Tuple	)			->	Optional[int]:
     return len(self.encoder	)
 def      A_	(      self  :      Dict	)			->	Union[str, Any]:
     return dict(self.encoder			,     **self.added_tokens_encoder	)
 def      A_	(      self  :      Union[str, Any]			,     UpperCAmelCase  :      List[Any]	)			->	List[Any]:
     if token in self.cache:
         return self.cache[token]
     lowerCamelCase__    :      Union[str, Any]					 =		tuple(UpperCAmelCase	)
     lowerCamelCase__    :      Optional[Any]					 =		tuple(list(word[:-1]	) + [word[-1] + '</w>']	)
     lowerCamelCase__    :      Optional[int]					 =		get_pairs(UpperCAmelCase	)

     if not pairs:
         return token

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

     lowerCamelCase__    :      Dict					 =		re.findall(R'\S+\n?'			,     UpperCAmelCase	)

     for token in words:
         split_tokens.extend(list(self.bpe(UpperCAmelCase	).split(' '	)	)	)
     return split_tokens
 def      A_	(      self  :      Optional[Any]			,     UpperCAmelCase  :      Tuple	)			->	int:
     return self.encoder.get(UpperCAmelCase			,     self.encoder.get(self.unk_token	)	)
 def      A_	(      self  :      int			,     UpperCAmelCase  :      Union[str, Any]	)			->	int:
     return self.decoder.get(UpperCAmelCase			,     self.unk_token	)
 def      A_	(      self  :      Optional[int]			,     UpperCAmelCase  :      Dict	)			->	int:
     lowerCamelCase__    :      Optional[Any]					 =		' '.join(UpperCAmelCase	).replace('@@ '			,     ''	).strip()
     return out_string







 def      A_	(      self  :      Any			,     UpperCAmelCase  :      str			,     UpperCAmelCase  :      Optional[str] = None	)			->	Tuple[str]:
     if not os.path.isdir(UpperCAmelCase	):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
         return
     lowerCamelCase__    :      Union[str, Any]					 =		os.path.join(
         UpperCAmelCase			,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)
     lowerCamelCase__    :      Tuple					 =		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'	)

     lowerCamelCase__    :      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 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!'	)
                 lowerCamelCase__    :      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)












def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Optional[Any]					 =		set()
    # edges = list of graph's edges
    lowerCamelCase__    :      List[str]					 =		get_edges(_UpperCAmelCase )

    # While there are still elements in edges list, take an arbitrary edge
    # (from_node, to_node) and add his extremity to chosen_vertices and then
    # remove all arcs adjacent to the from_node and to_node
    while edges:
        lowerCamelCase__ ,							lowerCamelCase__    :      str					 =		edges.pop()
        chosen_vertices.add(_UpperCAmelCase )
        chosen_vertices.add(_UpperCAmelCase )
        for edge in edges.copy():
            if from_node in edge or to_node in edge:
                edges.discard(_UpperCAmelCase )
    return chosen_vertices


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Union[str, Any]					 =		set()
    for from_node, to_nodes in graph.items():
        for to_node in to_nodes:
            edges.add((from_node, to_node) )
    return edges


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    # graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
    # print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")





