






"""simple docstring"""





class  __lowerCamelCase     :

   def __init__(       self			,					snake_case_   )		->							None:
       UpperCamelCase__								=     data
       UpperCamelCase__								=     None
       UpperCamelCase__								=     None







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE			,						SCREAMING_SNAKE_CASE       )       ->						BinaryTreeNode | None:
    """simple docstring"""

    if node is None:
        UpperCamelCase__								=     BinaryTreeNode(SCREAMING_SNAKE_CASE       )
        return node

    # binary search tree is not empty,
    # so we will insert it into the tree
    # if new_value is less than value of data in node,
    #  add it to left subtree and proceed recursively
    if new_value < node.data:
        UpperCamelCase__								=     insert(node.left_child			,						SCREAMING_SNAKE_CASE       )
    else:
        # if new_value is greater than value of data in node,
        #  add it to right subtree and proceed recursively
        UpperCamelCase__								=     insert(node.right_child			,						SCREAMING_SNAKE_CASE       )
    return node







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE       )       ->						list[int]:  # if node is None,return
    """simple docstring"""

    if node:
        UpperCamelCase__								=     inorder(node.left_child       )
        UpperCamelCase__								=     [*inorder_array, node.data]
        UpperCamelCase__								=     inorder_array + inorder(node.right_child       )
    else:
        UpperCamelCase__								=     []
    return inorder_array







def 	lowerCAmelCase_(			)       ->						BinaryTreeNode | None:
    """simple docstring"""

    UpperCamelCase__								=     insert(SCREAMING_SNAKE_CASE			,						15       )
    insert(SCREAMING_SNAKE_CASE			,						10       )
    insert(SCREAMING_SNAKE_CASE			,						25       )
    insert(SCREAMING_SNAKE_CASE			,						6       )
    insert(SCREAMING_SNAKE_CASE			,						14       )
    insert(SCREAMING_SNAKE_CASE			,						20       )
    insert(SCREAMING_SNAKE_CASE			,						60       )
    return root







def 	lowerCAmelCase_(			)       ->						None:
    """simple docstring"""

    UpperCamelCase__								=     make_tree()
    print('Printing values of binary search tree in Inorder Traversal.'       )
    inorder(SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()












"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


A__       :			Union[str, Any]=						logging.get_logger(__name__)

A__       :			Dict=						{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}
class  __lowerCamelCase     (	_a	):
   a   :					Optional[int]			    ="""rembert"""

   def __init__(       self			,					snake_case_=25_0300			,					snake_case_=1152			,					snake_case_=32			,					snake_case_=18			,					snake_case_=256			,					snake_case_=1664			,					snake_case_=4608			,					snake_case_="gelu"			,					snake_case_=0.0			,					snake_case_=0.0			,					snake_case_=0.1			,					snake_case_=512			,					snake_case_=2			,					snake_case_=0.02			,					snake_case_=1E-12			,					snake_case_=True			,					snake_case_=0			,					snake_case_=312			,					snake_case_=313			,					**snake_case_			,					)		->							str:
       super().__init__(pad_token_id=snake_case_			,					bos_token_id=snake_case_			,					eos_token_id=snake_case_			,					**snake_case_   )

       UpperCamelCase__								=     vocab_size
       UpperCamelCase__								=     input_embedding_size
       UpperCamelCase__								=     output_embedding_size
       UpperCamelCase__								=     max_position_embeddings
       UpperCamelCase__								=     hidden_size
       UpperCamelCase__								=     num_hidden_layers
       UpperCamelCase__								=     num_attention_heads
       UpperCamelCase__								=     intermediate_size
       UpperCamelCase__								=     hidden_act
       UpperCamelCase__								=     hidden_dropout_prob
       UpperCamelCase__								=     attention_probs_dropout_prob
       UpperCamelCase__								=     classifier_dropout_prob
       UpperCamelCase__								=     initializer_range
       UpperCamelCase__								=     type_vocab_size
       UpperCamelCase__								=     layer_norm_eps
       UpperCamelCase__								=     use_cache
       UpperCamelCase__								=     False







class  __lowerCamelCase     (	_a	):

   @property
   def     SCREAMING_SNAKE_CASE__			(       self   )		->							Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
           UpperCamelCase__								=     {0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
           UpperCamelCase__								=     {0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
               ('token_type_ids', dynamic_axis),
           ]   )







   @property
   def     SCREAMING_SNAKE_CASE__			(       self   )		->							float:
       return 1E-4




