



"""simple docstring"""






import os

import numpy
import onnx






def   snake_case__     (	__lowerCamelCase       :					Tuple							,	__lowerCamelCase       :					Tuple			):
			"""simple docstring"""
			lowerCamelCase__	:	Tuple				=a.name
			lowerCamelCase__	:	str				=b.name

			lowerCamelCase__	:	Optional[int]				=''''''
			lowerCamelCase__	:	Dict				=''''''

			lowerCamelCase__	:	Tuple				=a == b

			lowerCamelCase__	:	str				=name_a
			lowerCamelCase__	:	List[str]				=name_b

			return res






def   snake_case__     (	__lowerCamelCase       :					Any							,	__lowerCamelCase       :					Optional[Any]							,	__lowerCamelCase       :					Optional[int]			):
			"""simple docstring"""






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

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






def   snake_case__     (	__lowerCamelCase       :					str							,	__lowerCamelCase       :					Dict							,	__lowerCamelCase       :					Any			):
			"""simple docstring"""






			for n in graph_proto.node:
						_node_replace_input_with(a__							,	a__							,	a__			)






def   snake_case__     (	__lowerCamelCase       :					Optional[Any]							,	__lowerCamelCase       :					str							,	__lowerCamelCase       :					Optional[Any]			):
			"""simple docstring"""
			lowerCamelCase__	:	Optional[Any]				=list(model.graph.initializer			)
			lowerCamelCase__	:	Optional[int]				=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

						lowerCamelCase__	:	str				=inits[i].name
						lowerCamelCase__	:	List[str]				=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							,	a__							,	a__			)






def   snake_case__     (	__lowerCamelCase       :					Union[str, Any]			):
			"""simple docstring"""
			lowerCamelCase__	:	Union[str, Any]				=os.path.dirname(a__			)
			lowerCamelCase__	:	Any				=os.path.basename(a__			)

			lowerCamelCase__	:	Union[str, Any]				=onnx.load(os.path.join(a__							,	a__			)			)

			lowerCamelCase__	:	List[str]				=list(model.graph.initializer			)

			lowerCamelCase__	:	Dict				=set()
			lowerCamelCase__	:	List[str]				={}
			lowerCamelCase__	:	List[Any]				=[]

			lowerCamelCase__	:	List[Any]				=0

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

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

												lowerCamelCase__	:	Optional[Any]				=inits[j].data_type
												lowerCamelCase__	:	List[str]				=numpy.prod(inits[j].dims			)
												if dtype == 1:
															mem_size *= 4
												elif dtype == 6:
															mem_size *= 4
												elif dtype == 7 or dtype == 11:
															mem_size *= 8
												else:
															print('''unexpected data type: '''							,	a__			)
												total_reduced_size += mem_size

												lowerCamelCase__	:	Optional[Any]				=inits[i].name
												lowerCamelCase__	:	Optional[int]				=inits[j].name

												if name_i in dup_map:
															dup_map[name_i].append(a__			)
												else:
															lowerCamelCase__	:	Optional[Any]				=[name_j]
												ind_to_replace.append((j, i)			)

			print('''total reduced size: '''							,	total_reduced_size / 1024 / 1024 / 1024							,	'''GB'''			)

			lowerCamelCase__	:	int				=sorted(a__			)
			_remove_dup_initializers_from_model(a__							,	a__							,	a__			)

			lowerCamelCase__	:	str				='''optimized_''' + model_file_name
			lowerCamelCase__	:	Tuple				=os.path.join(a__							,	a__			)
			onnx.save(a__							,	a__			)

			return new_model









"""simple docstring"""






_lowercase				:				str   		=		0  # The first color of the flag.
_lowercase				:				Dict   		=		1  # The second color of the flag.
_lowercase				:				Tuple   		=		2  # The third color of the flag.
_lowercase				:				Optional[int]   		=		(red, white, blue)






def   snake_case__     (	__lowerCamelCase       :					list			):
			"""simple docstring"""
			if not sequence:
						return []
			if len(__lowerCamelCase			) == 1:
						return list(__lowerCamelCase			)
			lowerCamelCase__	:	List[Any]				=0
			lowerCamelCase__	:	Dict				=len(__lowerCamelCase			) - 1
			lowerCamelCase__	:	Tuple				=0
			while mid <= high:
						if sequence[mid] == colors[0]:
									lowerCamelCase__			,     lowerCamelCase__	:	Optional[Any]				=sequence[mid], sequence[low]
									low += 1
									mid += 1
						elif sequence[mid] == colors[1]:
									mid += 1
						elif sequence[mid] == colors[2]:
									lowerCamelCase__			,     lowerCamelCase__	:	Union[str, Any]				=sequence[high], sequence[mid]
									high -= 1
						else:
									lowerCamelCase__	:	Dict				=f'''The elements inside the sequence must contains only {colors} values'''
									raise ValueError(__lowerCamelCase			)
			return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_lowercase				:				Optional[Any]   		=		input("Enter numbers separated by commas:\n").strip()
		_lowercase				:				int   		=		[int(item.strip()) for item in user_input.split(",")]
		print(f'{dutch_national_flag_sort(unsorted)}')




