
'''simple docstring'''


import os

import numpy
import onnx




def lowercase_	(   _lowercase			,       _lowercase				)     ->							List[Any]:
					'''simple docstring'''

					lowerCamelCase_					:      Any     =		a.name
					lowerCamelCase_					:      Optional[int]     =		b.name

					lowerCamelCase_					:      Any     =		''''''
					lowerCamelCase_					:      Union[str, Any]     =		''''''

					lowerCamelCase_					:      List[str]     =		a == b

					lowerCamelCase_					:      Any     =		name_a
					lowerCamelCase_					:      Optional[Any]     =		name_b

					return res




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							Optional[int]:
					'''simple docstring'''

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

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




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							List[Any]:
					'''simple docstring'''

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




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							Union[str, Any]:
					'''simple docstring'''

					lowerCamelCase_					:      Optional[int]     =		list(model.graph.initializer				)
					lowerCamelCase_					:      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

										lowerCamelCase_					:      List[str]     =		inits[i].name
										lowerCamelCase_					:      List[Any]     =		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			,       _lowercase			,       _lowercase				)






def lowercase_	(   _lowercase				)     ->							Dict:
					'''simple docstring'''

					lowerCamelCase_					:      List[Any]     =		os.path.dirname(_lowercase				)
					lowerCamelCase_					:      str     =		os.path.basename(_lowercase				)

					lowerCamelCase_					:      int     =		onnx.load(os.path.join(_lowercase			,       _lowercase				)				)

					lowerCamelCase_					:      List[Any]     =		list(model.graph.initializer				)

					lowerCamelCase_					:      List[Any]     =		set()
					lowerCamelCase_					:      Union[str, Any]     =		{}
					lowerCamelCase_					:      List[str]     =		[]

					lowerCamelCase_					:      List[Any]     =		0

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

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

																				lowerCamelCase_					:      str     =		inits[j].data_type
																				lowerCamelCase_					:      Optional[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: '''			,       _lowercase				)
																				total_reduced_size += mem_size

																				lowerCamelCase_					:      int     =		inits[i].name
																				lowerCamelCase_					:      Tuple     =		inits[j].name

																				if name_i in dup_map:
																									dup_map[name_i].append(_lowercase				)
																				else:
																									lowerCamelCase_					:      Union[str, Any]     =		[name_j]
																				ind_to_replace.append((j, i)				)

					print('''total reduced size: '''			,       total_reduced_size / 1_024 / 1_024 / 1_024			,       '''GB'''				)

					lowerCamelCase_					:      str     =		sorted(_lowercase				)
					_remove_dup_initializers_from_model(_lowercase			,       _lowercase			,       _lowercase				)

					lowerCamelCase_					:      List[str]     =		'''optimized_''' + model_file_name
					lowerCamelCase_					:      List[Any]     =		os.path.join(_lowercase			,       _lowercase				)
					onnx.save(_lowercase			,       _lowercase				)

					return new_model




'''simple docstring'''


from __future__ import annotations




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase				)     ->							dict[str, float]:
					'''simple docstring'''

					if (voltage, current, resistance).count(0				) != 1:
										raise ValueError('''One and only one argument must be 0'''				)
					if resistance < 0:
										raise ValueError('''Resistance cannot be negative'''				)
					if voltage == 0:
										return {"voltage": float(current * resistance				)}
					elif current == 0:
										return {"current": voltage / resistance}
					elif resistance == 0:
										return {"resistance": voltage / current}
					else:
										raise ValueError('''Exactly one argument must be 0'''				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


