"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_    :    List[str]											=						logging.get_logger(__name__)

UpperCamelCase_    :    Union[str, Any]											=						{
    """mnaylor/mega-base-wikitext""": """https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json""",
}


class      _lowercase						(				__lowerCamelCase					):
				lowerCamelCase__									=    'mega'

				def __init__(       self    :      Optional[int]    ,      _lowercase    :      Union[str, Any]=3_0_5_2_2    ,      _lowercase    :      Tuple=1_2_8    ,      _lowercase    :      Any=4    ,      _lowercase    :      List[Any]=2_5_6    ,      _lowercase    :      int=1_6    ,      _lowercase    :      Tuple=True    ,      _lowercase    :      Union[str, Any]=6_4    ,      _lowercase    :      List[Any]=False    ,      _lowercase    :      Optional[Any]=-1    ,      _lowercase    :      Tuple=None    ,      _lowercase    :      int=True    ,      _lowercase    :      List[Any]="scalenorm"    ,      _lowercase    :      Tuple=True    ,      _lowercase    :      Union[str, Any]="silu"    ,      _lowercase    :      Tuple="softmax"    ,      _lowercase    :      int=0.1    ,      _lowercase    :      str=0.1    ,      _lowercase    :      Tuple=0.1    ,      _lowercase    :      Any=False    ,      _lowercase    :      str=True    ,      _lowercase    :      Optional[Any]=2_5_6    ,      _lowercase    :      Dict=True    ,      _lowercase    :      str=0.1    ,      _lowercase    :      Tuple=2_0_4_8    ,      _lowercase    :      List[str]=False    ,      _lowercase    :      Tuple=2    ,      _lowercase    :      int=0.02    ,      _lowercase    :      Tuple=0.2    ,      _lowercase    :      Any=0.02    ,      _lowercase    :      Optional[Any]=1.0    ,      _lowercase    :      List[str]=1    ,      _lowercase    :      List[str]=0    ,      _lowercase    :      Dict=2    ,      _lowercase    :      List[str]="rotary"    ,      _lowercase    :      List[str]=None    ,      _lowercase    :      List[Any]=True    ,      _lowercase    :      Optional[Any]=True    ,      **_lowercase    :      List[str]    ,      ):


										'''simple docstring'''
										super().__init__(pad_token_id=_lowercase    ,      bos_token_id=_lowercase    ,      eos_token_id=_lowercase    ,      **_lowercase       )

										UpperCAmelCase__		=						vocab_size
										UpperCAmelCase__		=						hidden_size
										UpperCAmelCase__		=						num_hidden_layers
										UpperCAmelCase__		=						activation
										UpperCAmelCase__		=						attention_activation
										UpperCAmelCase__		=						intermediate_size
										UpperCAmelCase__		=						ema_projection_size
										UpperCAmelCase__		=						bidirectional
										UpperCAmelCase__		=						shared_representation_size
										UpperCAmelCase__		=						use_chunking
										UpperCAmelCase__		=						chunk_size
										UpperCAmelCase__		=						truncation
										UpperCAmelCase__		=						normalize_before_mega
										UpperCAmelCase__		=						normalization_type
										UpperCAmelCase__		=						norm_affine
										UpperCAmelCase__		=						dropout_prob
										UpperCAmelCase__		=						hidden_dropout_prob
										UpperCAmelCase__		=						attention_probs_dropout_prob
										UpperCAmelCase__		=						use_feature_dropout
										UpperCAmelCase__		=						use_normalized_ffn
										UpperCAmelCase__		=						nffn_hidden_size
										UpperCAmelCase__		=						normalize_before_ffn
										UpperCAmelCase__		=						nffn_activation_dropout_prob
										UpperCAmelCase__		=						max_positions
										UpperCAmelCase__		=						add_token_type_embeddings
										UpperCAmelCase__		=						type_vocab_size
										UpperCAmelCase__		=						initializer_range
										UpperCAmelCase__		=						ema_delta_alpha_range
										UpperCAmelCase__		=						ema_beta_range
										UpperCAmelCase__		=						ema_gamma_omega_range
										UpperCAmelCase__		=						relative_positional_bias
										UpperCAmelCase__		=						use_cache
										UpperCAmelCase__		=						classifier_dropout
										UpperCAmelCase__		=						add_lm_hidden_dense_layer
										UpperCAmelCase__		=						1  # not used but required by Hugging Face


class      _lowercase						(				__lowerCamelCase					):

				@property
				def     A	(       self    :      Dict       ):


										'''simple docstring'''
										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),
										    ]       )


"""simple docstring"""







class      _lowercase						:

				def __init__(       self    :      Tuple    ,      _lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						data
										UpperCAmelCase__   		=						None
										UpperCAmelCase__   		=						None


def 					a__ (						UpperCAmelCase__    :     BinaryTreeNode | None						,     UpperCAmelCase__    :     int     )->		BinaryTreeNode | None:
						if node is None:
												UpperCAmelCase__   		=						BinaryTreeNode(UpperCAmelCase__     )
												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						,     UpperCAmelCase__     )
						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						,     UpperCAmelCase__     )
						return node


def 					a__ (						UpperCAmelCase__    :     None | BinaryTreeNode     )->		list[int]:  # if node is None,return
						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 					a__ (						)->		BinaryTreeNode | None:
						UpperCAmelCase__   		=						insert(UpperCAmelCase__						,     1_5     )
						insert(UpperCAmelCase__						,     1_0     )
						insert(UpperCAmelCase__						,     2_5     )
						insert(UpperCAmelCase__						,     6     )
						insert(UpperCAmelCase__						,     1_4     )
						insert(UpperCAmelCase__						,     2_0     )
						insert(UpperCAmelCase__						,     6_0     )
						return root


def 					a__ (						)->		None:
						# main function
						UpperCAmelCase__   		=						make_tree()
						print("""Printing values of binary search tree in Inorder Traversal."""     )
						inorder(UpperCAmelCase__     )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()

