


import json
import os
from typing import Optional, Tuple

import regex as re

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


A      :    Dict		=					logging.get_logger(__name__)

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

A      :    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"},
}

A      :    Union[str, Any]		=					{
    "ctrl": 256,
}

A      :    List[str]		=					{
    "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       lowercase_		(		_A			:    List[Any]						):

      """simple docstring"""




      lowerCamelCase__		:				Union[str, Any]    =  set()
      lowerCamelCase__		:				Union[str, Any]    =  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)						)
            lowerCamelCase__		:				int    =  char

      lowerCamelCase__		:				Tuple    =  set(_A						)
      return pairs







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			VOCAB_FILES_NAMES
       A__											=			PRETRAINED_VOCAB_FILES_MAP
       A__											=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       A__											=			CONTROL_CODES





       def __init__(   self							:			List[Any]					,      __lowerCamelCase							:			Tuple					,      __lowerCamelCase							:			Optional[int]					,      __lowerCamelCase							:			Dict="<unk>"					,      **__lowerCamelCase							:			Dict       ):


             '''simple docstring'''



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

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





       @property
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             return len(self.encoder       )





       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			List[str]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             if token in self.cache:
                   return self.cache[token]
             lowerCamelCase__		:				List[Any]    =  tuple(__lowerCamelCase       )
             lowerCamelCase__		:				Optional[Any]    =  tuple(list(word[:-1]       ) + [word[-1] + "</w>"]       )
             lowerCamelCase__		:				Dict    =  get_pairs(__lowerCamelCase       )

             if not pairs:
                   return token

             while True:
                   lowerCamelCase__		:				Dict    =  min(__lowerCamelCase					,      key=lambda __lowerCamelCase       : self.bpe_ranks.get(__lowerCamelCase					,      float("inf"       )       )       )
                   if bigram not in self.bpe_ranks:
                         break
                   lowerCamelCase__    ,   lowerCamelCase__		:				Optional[int]    =  bigram
                   lowerCamelCase__		:				Union[str, Any]    =  []
                   lowerCamelCase__		:				List[str]    =  0
                   while i < len(__lowerCamelCase       ):
                         try:
                               lowerCamelCase__		:				Optional[Any]    =  word.index(__lowerCamelCase					,      __lowerCamelCase       )
                         except ValueError:
                               new_word.extend(word[i:]       )
                               break
                         else:
                               new_word.extend(word[i:j]       )
                               lowerCamelCase__		:				int    =  j

                         if word[i] == first and i < len(__lowerCamelCase       ) - 1 and word[i + 1] == second:
                               new_word.append(first + second       )
                               i += 2
                         else:
                               new_word.append(word[i]       )
                               i += 1
                   lowerCamelCase__		:				Union[str, Any]    =  tuple(__lowerCamelCase       )
                   lowerCamelCase__		:				Any    =  new_word
                   if len(__lowerCamelCase       ) == 1:
                         break
                   else:
                         lowerCamelCase__		:				str    =  get_pairs(__lowerCamelCase       )
             lowerCamelCase__		:				List[Any]    =  "@@ ".join(__lowerCamelCase       )
             lowerCamelCase__		:				Optional[Any]    =  word[:-4]
             lowerCamelCase__		:				List[Any]    =  word
             return word





       def 						lowerCAmelCase     (   self							:			Dict					,      __lowerCamelCase							:			str       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  []

             lowerCamelCase__		:				str    =  re.findall(R"\S+\n?"					,      __lowerCamelCase       )

             for token in words:
                   split_tokens.extend(list(self.bpe(__lowerCamelCase       ).split(" "       )       )       )
             return split_tokens





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			Optional[int]					,      __lowerCamelCase							:			Optional[int]       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			Union[str, Any]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[str]    =  " ".join(__lowerCamelCase       ).replace("@@ "					,      ""       ).strip()
             return out_string





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			Optional[str] = None       ):


             '''simple docstring'''



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

             with open(__lowerCamelCase					,      "w"					,      encoding="utf-8"       ) as f:
                   f.write(json.dumps(self.encoder					,      indent=2					,      sort_keys=__lowerCamelCase					,      ensure_ascii=__lowerCamelCase       ) + "\n"       )

             lowerCamelCase__		:				int    =  0
             with open(__lowerCamelCase					,      "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 __lowerCamelCase       : 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(__lowerCamelCase       ) + "\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)






from collections import defaultdict

def       lowercase_		(		_A			:    int						):

      """simple docstring"""




      lowerCamelCase__		:				Union[str, Any]    =  1
      lowerCamelCase__		:				Dict    =  True
      for v in tree[start]:
            if v not in visited:
                  ret += dfs(_A						)
      if ret % 2 == 0:
            cuts.append(_A						)
      return ret

def       lowercase_		(		):

      """simple docstring"""




      dfs(1						)


if __name__ == "__main__":
    A,  A      :    Tuple		=					10, 9
    A      :    int		=					defaultdict(list)
    A      :    dict[int, bool]		=					{}
    A      :    list[int]		=					[]
    A      :    List[str]		=					0
    A      :    Tuple		=					[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
    for u, v in edges:
        tree[u].append(v)
        tree[v].append(u)
    even_tree()
    print(len(cuts) - 1)


