


'''simple docstring'''




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


UpperCAmelCase_      :		Optional[Any]          =		{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase_      :		Union[str, Any]          =		{
    "vocab_file": {
        "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt",
    },
    "tokenizer_file": {
        "unc-nlp/lxmert-base-uncased": (
            "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

UpperCAmelCase_      :		str          =		{
    "unc-nlp/lxmert-base-uncased": 512,
}

UpperCAmelCase_      :		Optional[int]          =		{
    "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
}







class 					a			(				snake_case__  ):
 '''simple docstring'''




 __lowerCAmelCase						: Tuple							  =		VOCAB_FILES_NAMES
 __lowerCAmelCase						: Dict							  =		PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase						: Optional[Any]							  =		PRETRAINED_INIT_CONFIGURATION
 __lowerCAmelCase						: str							  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase						: List[Any]							  =		LxmertTokenizer




 def __init__(    self		,      lowerCamelCase_=None		,      lowerCamelCase_=None		,      lowerCamelCase_=True		,      lowerCamelCase_="[UNK]"		,      lowerCamelCase_="[SEP]"		,      lowerCamelCase_="[PAD]"		,      lowerCamelCase_="[CLS]"		,      lowerCamelCase_="[MASK]"		,      lowerCamelCase_=True		,      lowerCamelCase_=None		,      **lowerCamelCase_		,      )      ->    Optional[int]:
    super().__init__(
        lowerCamelCase_		,      tokenizer_file=lowerCamelCase_		,      do_lower_case=lowerCamelCase_		,      unk_token=lowerCamelCase_		,      sep_token=lowerCamelCase_		,      pad_token=lowerCamelCase_		,      cls_token=lowerCamelCase_		,      mask_token=lowerCamelCase_		,      tokenize_chinese_chars=lowerCamelCase_		,      strip_accents=lowerCamelCase_		,      **lowerCamelCase_		,      )

    _a					:  str						=  json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
    if (
        normalizer_state.get('lowercase'		,      lowerCamelCase_      ) != do_lower_case
        or normalizer_state.get('strip_accents'		,      lowerCamelCase_      ) != strip_accents
        or normalizer_state.get('handle_chinese_chars'		,      lowerCamelCase_      ) != tokenize_chinese_chars
    ):
       _a					:  str						=  getattr(lowerCamelCase_		,      normalizer_state.pop('type'      )      )
       _a					:  Tuple						=  do_lower_case
       _a					:  str						=  strip_accents
       _a					:  Optional[Any]						=  tokenize_chinese_chars
       _a					:  Dict						=  normalizer_class(**lowerCamelCase_      )

    _a					:  Optional[int]						=  do_lower_case




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_=None      )      ->    Optional[Any]:
    _a					:  List[str]						=  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

    if token_ids_a:
       output += token_ids_a + [self.sep_token_id]

    return output




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    List[int]:
    _a					:  Union[str, Any]						=  [self.sep_token_id]
    _a					:  Optional[int]						=  [self.cls_token_id]
    if token_ids_a is None:
       return len(cls + token_ids_a + sep      ) * [0]
    return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    Tuple[str]:
    _a					:  Optional[Any]						=  self._tokenizer.model.save(lowerCamelCase_		,      name=lowerCamelCase_      )
    return tuple(lowerCamelCase_      )






'''simple docstring'''




from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass







@dataclass
class 					a			:
 '''simple docstring'''




 __lowerCAmelCase						: int
 __lowerCAmelCase						: TreeNode | None							  =		None
 __lowerCAmelCase						: TreeNode | None							  =		None





UpperCAmelCase_      :		Dict          =		namedtuple("CoinsDistribResult", "moves excess")


def    UpperCAmelCase_  (       A      ):
   '''simple docstring'''





   if root is None:
      return 0

   # Validation
   def count_nodes(A      ) -> int:
      if node is None:
         return 0

      return count_nodes(node.left      ) + count_nodes(node.right      ) + 1

   def count_coins(A      ) -> int:
      if node is None:
         return 0

      return count_coins(node.left      ) + count_coins(node.right      ) + node.data

   if count_nodes(A      ) != count_coins(A      ):
      raise ValueError('The nodes number should be same as the number of coins'      )

   # Main calculation
   def get_distrib(A      ) -> CoinsDistribResult:

      if node is None:
         return CoinsDistribResult(0		,	1      )

      _a		,						_a					:  Optional[Any]						=  get_distrib(node.left      )
      _a		,						_a					:  Tuple						=  get_distrib(node.right      )

      _a					:  List[str]						=  1 - left_distrib_excess
      _a					:  str						=  1 - right_distrib_excess

      _a					:  Any						=  (
          left_distrib_moves
          + right_distrib_moves
          + abs(A      )
          + abs(A      )
      )
      _a					:  Optional[int]						=  node.data - coins_to_left - coins_to_right

      return CoinsDistribResult(A		,	A      )

   return get_distrib(A      )[0]


if __name__ == "__main__":
 import doctest

 doctest.testmod()


