



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


UpperCAmelCase__   =       logging.get_logger(__name__)

UpperCAmelCase__   =       {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase__   =       {
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase__   =       {
    """distilbert-base-uncased""": 512,
    """distilbert-base-uncased-distilled-squad""": 512,
    """distilbert-base-cased""": 512,
    """distilbert-base-cased-distilled-squad""": 512,
    """distilbert-base-german-cased""": 512,
    """distilbert-base-multilingual-cased""": 512,
}


UpperCAmelCase__   =       {
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}







class 			__lowerCAmelCase    (			A						):
			UpperCamelCase   					=     VOCAB_FILES_NAMES
			UpperCamelCase   					=     PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase   					=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase   					=     PRETRAINED_INIT_CONFIGURATION
			UpperCamelCase   					=     ["input_ids", "attention_mask"]
			UpperCamelCase   					=     DistilBertTokenizer



			def __init__(						self   :  Any ,		A   :  List[Any]=None ,		A   :  List[str]=None ,		A   :  Optional[int]=True ,		A   :  Tuple="[UNK]" ,		A   :  Union[str, Any]="[SEP]" ,		A   :  Union[str, Any]="[PAD]" ,		A   :  int="[CLS]" ,		A   :  List[Any]="[MASK]" ,		A   :  Dict=True ,		A   :  str=None ,		**A   :  List[Any] ,		)   ->    Union[str, Any]:



						"""simple docstring"""






						super().__init__(
						    A ,		tokenizer_file=A ,		do_lower_case=A ,		unk_token=A ,		sep_token=A ,		pad_token=A ,		cls_token=A ,		mask_token=A ,		tokenize_chinese_chars=A ,		strip_accents=A ,		**A ,		)

						_UpperCAmelCase		       =   json.loads(self.backend_tokenizer.normalizer.__getstate__())
						if (
						    normalizer_state.get('lowercase' ,		A) != do_lower_case
						    or normalizer_state.get('strip_accents' ,		A) != strip_accents
						    or normalizer_state.get('handle_chinese_chars' ,		A) != tokenize_chinese_chars
						):
									_UpperCAmelCase		       =   getattr(A ,		normalizer_state.pop('type'))
									_UpperCAmelCase		       =   do_lower_case
									_UpperCAmelCase		       =   strip_accents
									_UpperCAmelCase		       =   tokenize_chinese_chars
									_UpperCAmelCase		       =   normalizer_class(**A)

						_UpperCAmelCase		       =   do_lower_case



			def     _lowerCamelCase       (						self   :  int ,		A   :  List[Any] ,		A   :  List[str]=None)   ->    Any:



						"""simple docstring"""






						_UpperCAmelCase		       =   [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     _lowerCamelCase       (						self   :  int ,		A   :  List[Any] ,		A   :  Tuple = None)   ->    str:



						"""simple docstring"""






						_UpperCAmelCase		       =   [self.sep_token_id]
						_UpperCAmelCase		       =   [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     _lowerCamelCase       (						self   :  Union[str, Any] ,		A   :  str ,		A   :  str = None)   ->    List[Any]:



						"""simple docstring"""






						_UpperCAmelCase		       =   self._tokenizer.model.save(A ,		name=A)
						return tuple(A)


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass

@dataclass
class __snake_case		:
    _a		:						int
    _a		:						TreeNode | None=				None
    _a		:						TreeNode | None=				None






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







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    int:

       if root is None:
              return 0

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

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

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

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

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

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

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

              lowercase	,			lowercase							:     int       	=      get_distrib(node.left				)
              lowercase	,			lowercase							:     List[Any]       	=      get_distrib(node.right				)

              lowercase							:     Optional[Any]       	=      1 - left_distrib_excess
              lowercase							:     Union[str, Any]       	=      1 - right_distrib_excess

              lowercase							:     List[Any]       	=      (
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(SCREAMING_SNAKE_CASE__				)
                  + abs(SCREAMING_SNAKE_CASE__				)
              )
              lowercase							:     Any       	=      node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)

       return get_distrib(SCREAMING_SNAKE_CASE__				)[0]


if __name__ == "__main__":
  import doctest

  doctest.testmod()
