



'''simple docstring'''






import os

import numpy
import onnx


def  snake_case_     (					_lowerCAmelCase  :						str   ,      _lowerCAmelCase  :						Optional[Any]  )      ->   int:
							UpperCAmelCase :       Tuple 							=		a.name
							UpperCAmelCase :       Optional[Any] 							=		b.name

							UpperCAmelCase :       List[str] 							=		''''''
							UpperCAmelCase :       int 							=		''''''

							UpperCAmelCase :       Optional[Any] 							=		a == b

							UpperCAmelCase :       Any 							=		name_a
							UpperCAmelCase :       List[str] 							=		name_b

							return res


def  snake_case_     (					_lowerCAmelCase  :						str   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Tuple  )      ->   Any:
							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  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Optional[Any]  )      ->   Any:
							for n in graph_proto.node:
														_node_replace_input_with(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )


def  snake_case_     (					_lowerCAmelCase  :						str   ,      _lowerCAmelCase  :						List[Any]   ,      _lowerCAmelCase  :						List[str]  )      ->   int:
							UpperCAmelCase :       Any 							=		list(model.graph.initializer  )
							UpperCAmelCase :       Union[str, Any] 							=		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 :       Union[str, Any] 							=		inits[i].name
														UpperCAmelCase :       Tuple 							=		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  snake_case_     (					_lowerCAmelCase  :						int  )      ->   Tuple:
							UpperCAmelCase :       List[str] 							=		os.path.dirname(_lowerCAmelCase  )
							UpperCAmelCase :       List[str] 							=		os.path.basename(_lowerCAmelCase  )

							UpperCAmelCase :       int 							=		onnx.load(os.path.join(_lowerCAmelCase   ,      _lowerCAmelCase  )  )

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

							UpperCAmelCase :       Dict 							=		set()
							UpperCAmelCase :       Tuple 							=		{}
							UpperCAmelCase :       Tuple 							=		[]

							UpperCAmelCase :       Dict 							=		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 :       int 							=		inits[j].data_type
																												UpperCAmelCase :       Union[str, Any] 							=		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: '''   ,      _lowerCAmelCase  )
																												total_reduced_size += mem_size

																												UpperCAmelCase :       List[str] 							=		inits[i].name
																												UpperCAmelCase :       List[str] 							=		inits[j].name

																												if name_i in dup_map:
																																			dup_map[name_i].append(_lowerCAmelCase  )
																												else:
																																			UpperCAmelCase :       List[Any] 							=		[name_j]
																												ind_to_replace.append((j, i)  )

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

							UpperCAmelCase :       Union[str, Any] 							=		sorted(_lowerCAmelCase  )
							_remove_dup_initializers_from_model(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )

							UpperCAmelCase :       List[Any] 							=		'''optimized_''' + model_file_name
							UpperCAmelCase :       Optional[Any] 							=		os.path.join(_lowerCAmelCase   ,      _lowerCAmelCase  )
							onnx.save(_lowerCAmelCase   ,      _lowerCAmelCase  )

							return new_model










"""simple docstring"""






class        __SCREAMING_SNAKE_CASE	:


					'''simple docstring'''





					def __init__(       self							:  Dict,  lowerCamelCase							:  list     )->					None:
								lowerCamelCase__		:		Tuple			=set_counts
								lowerCamelCase__		:		Dict			=max(lowerCamelCase     )
								lowerCamelCase__		:		Union[str, Any]			=len(lowerCamelCase     )
								lowerCamelCase__		:		List[str]			=[1] * num_sets
								lowerCamelCase__		:		str			=list(range(lowerCamelCase     )     )



					def 		snake_case       (       self							:  Tuple,  lowerCamelCase							:  int,  lowerCamelCase							:  int     )->					bool:
								lowerCamelCase__		:		List[Any]			=self.get_parent(lowerCamelCase     )
								lowerCamelCase__		:		str			=self.get_parent(lowerCamelCase     )

								if src_parent == dst_parent:
											return False

								if self.ranks[dst_parent] >= self.ranks[src_parent]:
											self.set_counts[dst_parent] += self.set_counts[src_parent]
											lowerCamelCase__		:		Tuple			=0
											lowerCamelCase__		:		int			=dst_parent
											if self.ranks[dst_parent] == self.ranks[src_parent]:
														self.ranks[dst_parent] += 1
											lowerCamelCase__		:		str			=self.set_counts[dst_parent]
								else:
											self.set_counts[src_parent] += self.set_counts[dst_parent]
											lowerCamelCase__		:		List[Any]			=0
											lowerCamelCase__		:		List[str]			=src_parent
											lowerCamelCase__		:		Dict			=self.set_counts[src_parent]

								lowerCamelCase__		:		str			=max(self.max_set,  lowerCamelCase     )
								return True




					def 		snake_case       (       self							:  Union[str, Any],  lowerCamelCase							:  int     )->					int:
								if self.parents[disj_set] == disj_set:
											return disj_set
								lowerCamelCase__		:		Tuple			=self.get_parent(self.parents[disj_set]     )
								return self.parents[disj_set]




