'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


A_     :						Optional[int]    							=logging.get_logger(__name__)

A_     :						int    							={
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}


class     __UpperCAmelCase       ( SCREAMING_SNAKE_CASE_		):
  __A :				Tuple											= "ibert"





  def __init__(	self    ,     _lowerCamelCase=3_0522    ,     _lowerCamelCase=768    ,     _lowerCamelCase=12    ,     _lowerCamelCase=12    ,     _lowerCamelCase=3072    ,     _lowerCamelCase="gelu"    ,     _lowerCamelCase=0.1    ,     _lowerCamelCase=0.1    ,     _lowerCamelCase=512    ,     _lowerCamelCase=2    ,     _lowerCamelCase=0.02    ,     _lowerCamelCase=1E-12    ,     _lowerCamelCase=1    ,     _lowerCamelCase=0    ,     _lowerCamelCase=2    ,     _lowerCamelCase="absolute"    ,     _lowerCamelCase=False    ,     _lowerCamelCase="none"    ,     **_lowerCamelCase    ,     ):
     super().__init__(pad_token_id=lowercase_    ,     bos_token_id=lowercase_    ,     eos_token_id=lowercase_    ,     **lowercase_ )

     lowerCAmelCase_			=      vocab_size
     lowerCAmelCase_			=      hidden_size
     lowerCAmelCase_			=      num_hidden_layers
     lowerCAmelCase_			=      num_attention_heads
     lowerCAmelCase_			=      hidden_act
     lowerCAmelCase_			=      intermediate_size
     lowerCAmelCase_			=      hidden_dropout_prob
     lowerCAmelCase_			=      attention_probs_dropout_prob
     lowerCAmelCase_			=      max_position_embeddings
     lowerCAmelCase_			=      type_vocab_size
     lowerCAmelCase_			=      initializer_range
     lowerCAmelCase_			=      layer_norm_eps
     lowerCAmelCase_			=      position_embedding_type
     lowerCAmelCase_			=      quant_mode
     lowerCAmelCase_			=      force_dequant






class     __UpperCAmelCase       ( SCREAMING_SNAKE_CASE_		):





  @property
  def 						UpperCAmelCase_	(	self ):
     if self.task == "multiple-choice":
        lowerCAmelCase_			=      {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
        lowerCAmelCase_			=      {0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ] )







"""simple docstring"""

from __future__ import annotations

from collections.abc import Iterator
class   _UpperCAmelCase				:




      def __init__(				self ,							lowercase_				)    ->       None:
          UpperCAmelCase          =       value
          UpperCAmelCase          =       None
          UpperCAmelCase          =       None

class   _UpperCAmelCase				:




      def __init__(				self ,							lowercase_				)    ->       None:
          UpperCAmelCase          =       tree




      def      a_   (				self ,							lowercase_				)    ->       int:
          if node is None:
              return 0
          return node.value + (
              self.depth_first_search(node.left				) + self.depth_first_search(node.right				)
          )




      def __iter__(				self				)    ->       Iterator[int]:
          yield self.depth_first_search(self.tree				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



