


"""simple docstring"""




import os

import numpy
import onnx


def     lowercase			(SCREAMING_SNAKE_CASE_		:				Tuple ,			SCREAMING_SNAKE_CASE_		:				Optional[int]  )   ->						Tuple:
						SCREAMING_SNAKE_CASE													=					a.name
						SCREAMING_SNAKE_CASE													=					b.name

						SCREAMING_SNAKE_CASE													=					''
						SCREAMING_SNAKE_CASE													=					''

						SCREAMING_SNAKE_CASE													=					a == b

						SCREAMING_SNAKE_CASE													=					name_a
						SCREAMING_SNAKE_CASE													=					name_b

						return res


def     lowercase			(SCREAMING_SNAKE_CASE_		:				str ,			SCREAMING_SNAKE_CASE_		:				Tuple ,			SCREAMING_SNAKE_CASE_		:				List[str]  )   ->						int:
						for i, input_name in enumerate(node_proto.input  ):
												if input_name == name:
																		node_proto.input.insert(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )
																		node_proto.input.pop(i + 1  )

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


def     lowercase			(SCREAMING_SNAKE_CASE_		:				List[str] ,			SCREAMING_SNAKE_CASE_		:				Union[str, Any] ,			SCREAMING_SNAKE_CASE_		:				Dict  )   ->						Optional[Any]:
						for n in graph_proto.node:
												_node_replace_input_with(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				Optional[int] ,			SCREAMING_SNAKE_CASE_		:				Dict ,			SCREAMING_SNAKE_CASE_		:				Optional[Any]  )   ->						Tuple:
						SCREAMING_SNAKE_CASE													=					list(model.graph.initializer  )
						SCREAMING_SNAKE_CASE													=					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

												SCREAMING_SNAKE_CASE													=					inits[i].name
												SCREAMING_SNAKE_CASE													=					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 ,			SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				int  )   ->						Optional[int]:
						SCREAMING_SNAKE_CASE													=					os.path.dirname(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE													=					os.path.basename(SCREAMING_SNAKE_CASE_  )

						SCREAMING_SNAKE_CASE													=					onnx.load(os.path.join(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )  )

						SCREAMING_SNAKE_CASE													=					list(model.graph.initializer  )

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

						SCREAMING_SNAKE_CASE													=					0

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

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

																								SCREAMING_SNAKE_CASE													=					inits[j].data_type
																								SCREAMING_SNAKE_CASE													=					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: ' ,			SCREAMING_SNAKE_CASE_  )
																								total_reduced_size += mem_size

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

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

						print('total reduced size: ' ,			total_reduced_size / 10_24 / 10_24 / 10_24 ,			'GB'  )

						SCREAMING_SNAKE_CASE													=					sorted(SCREAMING_SNAKE_CASE_  )
						_remove_dup_initializers_from_model(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )

						SCREAMING_SNAKE_CASE													=					'optimized_' + model_file_name
						SCREAMING_SNAKE_CASE													=					os.path.join(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )
						onnx.save(SCREAMING_SNAKE_CASE_ ,			SCREAMING_SNAKE_CASE_  )

						return new_model






"""simple docstring"""




__UpperCamelCase						=      0  # The first color of the flag.
__UpperCamelCase						=      1  # The second color of the flag.
__UpperCamelCase						=      2  # The third color of the flag.
__UpperCamelCase						=      (red, white, blue)


def     lowercase			(SCREAMING_SNAKE_CASE_		:				list  )   ->						list:
						if not sequence:
												return []
						if len(SCREAMING_SNAKE_CASE_  ) == 1:
												return list(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE													=					0
						SCREAMING_SNAKE_CASE													=					len(SCREAMING_SNAKE_CASE_  ) - 1
						SCREAMING_SNAKE_CASE													=					0
						while mid <= high:
												if sequence[mid] == colors[0]:
																		SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					sequence[mid], sequence[low]
																		low += 1
																		mid += 1
												elif sequence[mid] == colors[1]:
																		mid += 1
												elif sequence[mid] == colors[2]:
																		SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					sequence[high], sequence[mid]
																		high -= 1
												else:
																		SCREAMING_SNAKE_CASE													=					F'The elements inside the sequence must contains only {colors} values'
																		raise ValueError(SCREAMING_SNAKE_CASE_  )
						return sequence


if __name__ == "__main__":
	import doctest

	doctest.testmod()

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


