# @generated by generate_proto_mypy_stubs.py. Do not edit! import sys from google.protobuf.descriptor import ( Descriptor as google___protobuf___descriptor___Descriptor, EnumDescriptor as google___protobuf___descriptor___EnumDescriptor, FileDescriptor as google___protobuf___descriptor___FileDescriptor, ) from google.protobuf.internal.enum_type_wrapper import ( _EnumTypeWrapper as google___protobuf___internal___enum_type_wrapper____EnumTypeWrapper, ) from google.protobuf.message import ( Message as google___protobuf___message___Message, ) from typing import ( NewType as typing___NewType, cast as typing___cast, ) builtin___int = int DESCRIPTOR: google___protobuf___descriptor___FileDescriptor = ... class FirstSolutionStrategy(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... ValueValue = typing___NewType('ValueValue', builtin___int) type___ValueValue = ValueValue Value: _Value class _Value(google___protobuf___internal___enum_type_wrapper____EnumTypeWrapper[FirstSolutionStrategy.ValueValue]): DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ... UNSET = typing___cast(FirstSolutionStrategy.ValueValue, 0) AUTOMATIC = typing___cast(FirstSolutionStrategy.ValueValue, 15) PATH_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 3) PATH_MOST_CONSTRAINED_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 4) EVALUATOR_STRATEGY = typing___cast(FirstSolutionStrategy.ValueValue, 5) SAVINGS = typing___cast(FirstSolutionStrategy.ValueValue, 10) SWEEP = typing___cast(FirstSolutionStrategy.ValueValue, 11) CHRISTOFIDES = typing___cast(FirstSolutionStrategy.ValueValue, 13) ALL_UNPERFORMED = typing___cast(FirstSolutionStrategy.ValueValue, 6) BEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 7) PARALLEL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 8) SEQUENTIAL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 14) LOCAL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 9) GLOBAL_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 1) LOCAL_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 2) FIRST_UNBOUND_MIN_VALUE = typing___cast(FirstSolutionStrategy.ValueValue, 12) UNSET = typing___cast(FirstSolutionStrategy.ValueValue, 0) AUTOMATIC = typing___cast(FirstSolutionStrategy.ValueValue, 15) PATH_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 3) PATH_MOST_CONSTRAINED_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 4) EVALUATOR_STRATEGY = typing___cast(FirstSolutionStrategy.ValueValue, 5) SAVINGS = typing___cast(FirstSolutionStrategy.ValueValue, 10) SWEEP = typing___cast(FirstSolutionStrategy.ValueValue, 11) CHRISTOFIDES = typing___cast(FirstSolutionStrategy.ValueValue, 13) ALL_UNPERFORMED = typing___cast(FirstSolutionStrategy.ValueValue, 6) BEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 7) PARALLEL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 8) SEQUENTIAL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 14) LOCAL_CHEAPEST_INSERTION = typing___cast(FirstSolutionStrategy.ValueValue, 9) GLOBAL_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 1) LOCAL_CHEAPEST_ARC = typing___cast(FirstSolutionStrategy.ValueValue, 2) FIRST_UNBOUND_MIN_VALUE = typing___cast(FirstSolutionStrategy.ValueValue, 12) type___Value = Value def __init__(self, ) -> None: ... type___FirstSolutionStrategy = FirstSolutionStrategy class LocalSearchMetaheuristic(google___protobuf___message___Message): DESCRIPTOR: google___protobuf___descriptor___Descriptor = ... ValueValue = typing___NewType('ValueValue', builtin___int) type___ValueValue = ValueValue Value: _Value class _Value(google___protobuf___internal___enum_type_wrapper____EnumTypeWrapper[LocalSearchMetaheuristic.ValueValue]): DESCRIPTOR: google___protobuf___descriptor___EnumDescriptor = ... UNSET = typing___cast(LocalSearchMetaheuristic.ValueValue, 0) AUTOMATIC = typing___cast(LocalSearchMetaheuristic.ValueValue, 6) GREEDY_DESCENT = typing___cast(LocalSearchMetaheuristic.ValueValue, 1) GUIDED_LOCAL_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 2) SIMULATED_ANNEALING = typing___cast(LocalSearchMetaheuristic.ValueValue, 3) TABU_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 4) GENERIC_TABU_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 5) UNSET = typing___cast(LocalSearchMetaheuristic.ValueValue, 0) AUTOMATIC = typing___cast(LocalSearchMetaheuristic.ValueValue, 6) GREEDY_DESCENT = typing___cast(LocalSearchMetaheuristic.ValueValue, 1) GUIDED_LOCAL_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 2) SIMULATED_ANNEALING = typing___cast(LocalSearchMetaheuristic.ValueValue, 3) TABU_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 4) GENERIC_TABU_SEARCH = typing___cast(LocalSearchMetaheuristic.ValueValue, 5) type___Value = Value def __init__(self, ) -> None: ... type___LocalSearchMetaheuristic = LocalSearchMetaheuristic