"""simple docstring"""






from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class 				snake_case       :




					"""simple docstring"""

					snake_case__				    = 42
					snake_case__				    = None
					snake_case__				    = None






def   a_						(					):
				UpperCAmelCase__             =							Node(1       )
				UpperCAmelCase__             =							Node(2       )
				UpperCAmelCase__             =							Node(3       )
				UpperCAmelCase__             =							Node(4       )
				UpperCAmelCase__             =							Node(5       )
				return tree



def   a_						(					lowerCamelCase       ):
				return [root.data, *preorder(root.left       ), *preorder(root.right       )] if root else []



def   a_						(					lowerCamelCase       ):
				return postorder(root.left       ) + postorder(root.right       ) + [root.data] if root else []



def   a_						(					lowerCamelCase       ):
				return [*inorder(root.left       ), root.data, *inorder(root.right       )] if root else []



def   a_						(					lowerCamelCase       ):
				return (max(height(root.left       )					,			height(root.right       )       ) + 1) if root else 0



def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							[]

				if root is None:
								return output

				UpperCAmelCase__             =							deque([root]       )

				while process_queue:
								UpperCAmelCase__             =							process_queue.popleft()
								output.append(node.data       )

								if node.left:
												process_queue.append(node.left       )
								if node.right:
												process_queue.append(node.right       )
				return output



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							[]

				def populate_output(lowerCamelCase					,			lowerCamelCase       ) -> None:
								if not root:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.left					,			level - 1       )
												populate_output(root.right					,			level - 1       )

				populate_output(lowerCamelCase					,			lowerCamelCase       )
				return output



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							[]

				def populate_output(lowerCamelCase					,			lowerCamelCase       ) -> None:
								if root is None:
												return
								if level == 1:
												output.append(root.data       )
								elif level > 1:
												populate_output(root.right					,			level - 1       )
												populate_output(root.left					,			level - 1       )

				populate_output(lowerCamelCase					,			lowerCamelCase       )
				return output



def   a_						(					lowerCamelCase       ):
				if root is None:
								return []

				UpperCAmelCase__             =							[]

				UpperCAmelCase__             =							0
				UpperCAmelCase__             =							height(lowerCamelCase       )

				for h in range(1					,			height_tree + 1       ):
								if not flag:
												output.append(get_nodes_from_left_to_right(lowerCamelCase					,			lowerCamelCase       )       )
												UpperCAmelCase__             =							1
								else:
												output.append(get_nodes_from_right_to_left(lowerCamelCase					,			lowerCamelCase       )       )
												UpperCAmelCase__             =							0

				return output



def   a_						(					):  # Main function for testing.
				UpperCAmelCase__             =							make_tree()
				print(f'''In-order Traversal: {inorder(lowerCamelCase       )}'''       )
				print(f'''Pre-order Traversal: {preorder(lowerCamelCase       )}'''       )
				print(f'''Post-order Traversal: {postorder(lowerCamelCase       )}'''					,			'\n'       )

				print(f'''Height of Tree: {height(lowerCamelCase       )}'''					,			'\n'       )

				print('Complete Level Order Traversal: '       )
				print(level_order(lowerCamelCase       )					,			'\n'       )

				print('Level-wise order Traversal: '       )

				for level in range(1					,			height(lowerCamelCase       ) + 1       ):
								print(f'''Level {level}:'''					,			get_nodes_from_left_to_right(lowerCamelCase					,			level=lowerCamelCase       )       )

				print('\nZigZag order Traversal: '       )
				print(zigzag(lowerCamelCase       )       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()




"""simple docstring"""






import os

import numpy
import onnx



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							a.name
				UpperCAmelCase__             =							b.name

				UpperCAmelCase__             =							''
				UpperCAmelCase__             =							''

				UpperCAmelCase__             =							a == b

				UpperCAmelCase__             =							name_a
				UpperCAmelCase__             =							name_b

				return res



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				for i, input_name in enumerate(node_proto.input       ):
								if input_name == name:
												node_proto.input.insert(lowerCamelCase					,			lowerCamelCase       )
												node_proto.input.pop(i + 1       )

				if node_proto.op_type == "If":
								_graph_replace_input_with(node_proto.attribute[0].g					,			lowerCamelCase					,			lowerCamelCase       )
								_graph_replace_input_with(node_proto.attribute[1].g					,			lowerCamelCase					,			lowerCamelCase       )
				if node_proto.op_type == "Loop":
								_graph_replace_input_with(node_proto.attribute[0].g					,			lowerCamelCase					,			lowerCamelCase       )



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				for n in graph_proto.node:
								_node_replace_input_with(lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       )



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							list(model.graph.initializer       )
				UpperCAmelCase__             =							list(model_without_ext.graph.initializer       )
				for i, ref_i in ind_to_replace:
								assert inits_with_data[i].name == inits[i].name
								assert inits_with_data[ref_i].name == inits[ref_i].name
								assert i > ref_i

								UpperCAmelCase__             =							inits[i].name
								UpperCAmelCase__             =							inits[ref_i].name

								model_without_ext.graph.initializer.remove(inits[i]       )

								# for n in model.graph.node:
								_graph_replace_input_with(model_without_ext.graph					,			lowerCamelCase					,			lowerCamelCase       )







def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							os.path.dirname(lowerCamelCase       )
				UpperCAmelCase__             =							os.path.basename(lowerCamelCase       )

				UpperCAmelCase__             =							onnx.load(os.path.join(lowerCamelCase					,			lowerCamelCase       )       )

				UpperCAmelCase__             =							list(model.graph.initializer       )

				UpperCAmelCase__             =							set()
				UpperCAmelCase__             =							{}
				UpperCAmelCase__             =							[]

				UpperCAmelCase__             =							0

				for i in range(len(lowerCamelCase       )       ):
								if i in dup_set:
												continue

								for j in range(i + 1					,			len(lowerCamelCase       )       ):
												if j in dup_set:
																continue
												if _is_equal_tensor_proto(inits[i]					,			inits[j]       ):
																dup_set.add(lowerCamelCase       )
																dup_set.add(lowerCamelCase       )

																UpperCAmelCase__             =							inits[j].data_type
																UpperCAmelCase__             =							numpy.prod(inits[j].dims       )
																if dtype == 1:
																				mem_size *= 4
																elif dtype == 6:
																				mem_size *= 4
																elif dtype == 7 or dtype == 1_1:
																				mem_size *= 8
																else:
																				print('unexpected data type: '					,			lowerCamelCase       )
																total_reduced_size += mem_size

																UpperCAmelCase__             =							inits[i].name
																UpperCAmelCase__             =							inits[j].name

																if name_i in dup_map:
																				dup_map[name_i].append(lowerCamelCase       )
																else:
																				UpperCAmelCase__             =							[name_j]
																ind_to_replace.append((j, i)       )

				print('total reduced size: '					,			total_reduced_size / 1_0_2_4 / 1_0_2_4 / 1_0_2_4					,			'GB'       )

				UpperCAmelCase__             =							sorted(lowerCamelCase       )
				_remove_dup_initializers_from_model(lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       )

				UpperCAmelCase__             =							'optimized_' + model_file_name
				UpperCAmelCase__             =							os.path.join(lowerCamelCase					,			lowerCamelCase       )
				onnx.save(lowerCamelCase					,			lowerCamelCase       )

				return new_model



