
'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase_   	=				logging.get_logger(__name__)

UpperCamelCase_   	=				{
    """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/config.json""",
    """distilbert-base-uncased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/config.json""",
    """distilbert-base-cased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json""",
    """distilbert-base-multilingual-cased""": (
        """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"""
    ),
    """distilbert-base-uncased-finetuned-sst-2-english""": (
        """https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"""
    ),
}


class      a_     (__lowerCamelCase			):
       __lowerCAmelCase			: str			=					'distilbert'
       __lowerCAmelCase			: Optional[Any]			=					{
           'hidden_size': 'dim',
           'num_attention_heads': 'n_heads',
           'num_hidden_layers': 'n_layers',
       }




       def __init__(   self      ,      snake_case_=3_0_5_2_2      ,      snake_case_=5_1_2      ,      snake_case_=False      ,      snake_case_=6      ,      snake_case_=1_2      ,      snake_case_=7_6_8      ,      snake_case_=4 * 7_6_8      ,      snake_case_=0.1      ,      snake_case_=0.1      ,      snake_case_="gelu"      ,      snake_case_=0.02      ,      snake_case_=0.1      ,      snake_case_=0.2      ,      snake_case_=0      ,      **snake_case_      ,      ):
         _lowerCAmelCase				:     Tuple       =    vocab_size
         _lowerCAmelCase				:     Any       =    max_position_embeddings
         _lowerCAmelCase				:     Union[str, Any]       =    sinusoidal_pos_embds
         _lowerCAmelCase				:     Tuple       =    n_layers
         _lowerCAmelCase				:     List[str]       =    n_heads
         _lowerCAmelCase				:     Tuple       =    dim
         _lowerCAmelCase				:     int       =    hidden_dim
         _lowerCAmelCase				:     Optional[Any]       =    dropout
         _lowerCAmelCase				:     List[Any]       =    attention_dropout
         _lowerCAmelCase				:     Tuple       =    activation
         _lowerCAmelCase				:     Dict       =    initializer_range
         _lowerCAmelCase				:     Union[str, Any]       =    qa_dropout
         _lowerCAmelCase				:     Any       =    seq_classif_dropout
         super().__init__(**UpperCamelCase_      ,      pad_token_id=UpperCamelCase_     )



class      a_     (__lowerCamelCase			):




       @property
       def 							__UpperCamelCase				(   self     ):
         if self.task == "multiple-choice":
           _lowerCAmelCase				:     Optional[Any]       =    {0: """batch""", 1: """choice""", 2: """sequence"""}
         else:
           _lowerCAmelCase				:     str       =    {0: """batch""", 1: """sequence"""}
         return OrderedDict(
             [
                 ("""input_ids""", dynamic_axis),
                 ("""attention_mask""", dynamic_axis),
             ]     )








from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass





@dataclass
class     lowerCamelCase__:
      UpperCAmelCase__      :	int
      UpperCAmelCase__      :	TreeNode | None    		=   None
      UpperCAmelCase__      :	TreeNode | None    		=   None



UpperCAmelCase_									=	namedtuple('CoinsDistribResult', 'moves excess')




def 					lowerCamelCase__       (						A__       :					TreeNode | None	):





       '''simple docstring'''



       if root is None:
              return 0

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

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

       def count_coins(A__       :					TreeNode | None	) -> 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__       :					TreeNode | None	) -> CoinsDistribResult:

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

              __lowerCamelCase,   __lowerCamelCase   =						get_distrib(node.left	)
              __lowerCamelCase,   __lowerCamelCase   =						get_distrib(node.right	)

              __lowerCamelCase   =						1 - left_distrib_excess
              __lowerCamelCase   =						1 - right_distrib_excess

              __lowerCamelCase   =						(
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(A__	)
                  + abs(A__	)
              )
              __lowerCamelCase   =						node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(A__  ,			A__	)

       return get_distrib(A__	)[0]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

