Solvers Infrastructure

Here are described the infrastructure classes to build a solver, among many other basic classes necessary for the solving algorithms and for representing the scenes.

The solvers module contains a few classes that can describe the scene, the sampling logic in the scene or the solver itself. Those classes can be found in:

• Solvers Base Classes
  • Solver
    • Solver._solve()
    • Solver.analyze_solution()
    • Solver.disable_verbose()
    • Solver.from_arguments()
    • Solver.get_arguments()
    • Solver.get_arrangement()
    • Solver.get_bounding_box_graph()
    • Solver.get_graph()
    • Solver.init_default_solver()
    • Solver.init_solver()
    • Solver.load_scene()
    • Solver.log()
    • Solver.set_verbose()
    • Solver.solve()
    • Solver.update_arguments()
  • SamplingSolver
    • SamplingSolver.build_roadmap()
    • SamplingSolver.collision_free()
    • SamplingSolver.get_graph()
    • SamplingSolver.load_scene()
    • SamplingSolver.sample_free()
    • SamplingSolver.search_path_on_roadmap()
  • TensorSolver
• Base Object Classes
  • Obstacle
    • Obstacle.from_dict()
    • Obstacle.to_dict()
  • ObstacleDisc
    • ObstacleDisc.from_dict()
    • ObstacleDisc.to_dict()
  • ObstaclePolygon
    • ObstaclePolygon.from_dict()
    • ObstaclePolygon.to_dict()
  • Path
    • Path.calculate_length()
    • Path.path_from_points()
  • PathCollection
    • PathCollection.add_robot_path()
  • PathPoint
  • Robot
    • Robot.from_dict()
    • Robot.to_dict()
  • RobotDisc
    • RobotDisc.from_dict()
    • RobotDisc.to_dict()
  • RobotPolygon
    • RobotPolygon.from_dict()
    • RobotPolygon.to_dict()
  • RobotRod
    • RobotRod.from_dict()
    • RobotRod.to_dict()
  • Scene
    • Scene.add_obstacle()
    • Scene.add_robot()
    • Scene.calc_max_robot_size()
    • Scene.from_dict()
    • Scene.from_file()
    • Scene.remove_obstacle()
    • Scene.remove_robot()
    • Scene.to_dict()
  • SceneDrawer
    • SceneDrawer.clear_scene()
    • SceneDrawer.deselect_entity()
    • SceneDrawer.draw_obstacle()
    • SceneDrawer.draw_robot()
    • SceneDrawer.draw_scene()
    • SceneDrawer.select_entity()
  • load_object_from_dict()
• Metrics
  • Metric
    • Metric.CGALPY_impl()
    • Metric.dist()
    • Metric.sklearn_impl()
  • MetricNotImplemented
  • Metric_Euclidean
    • Metric_Euclidean.CGALPY_impl()
    • Metric_Euclidean.dist()
    • Metric_Euclidean.sklearn_impl()
  • Metric_SumDist
    • Metric_SumDist.dist()
• Nearest Neighbors
  • NearestNeighbors
    • NearestNeighbors.fit()
    • NearestNeighbors.get_points()
    • NearestNeighbors.k_nearest()
    • NearestNeighbors.nearest_in_radius()
  • NearestNeighborsCached
    • NearestNeighborsCached.add_point()
    • NearestNeighborsCached.fit()
    • NearestNeighborsCached.get_points()
    • NearestNeighborsCached.k_nearest()
    • NearestNeighborsCached.nearest_in_radius()
  • NearestNeighbors_CGAL
    • NearestNeighbors_CGAL.fit()
    • NearestNeighbors_CGAL.k_nearest()
    • NearestNeighbors_CGAL.nearest_in_radius()
  • NearestNeighbors_sklearn
    • NearestNeighbors_sklearn.fit()
    • NearestNeighbors_sklearn.k_nearest()
    • NearestNeighbors_sklearn.nearest_in_radius()
  • NeighborsFinder
    • NeighborsFinder.fit()
• Samplers
  • Sampler
    • Sampler.sample()
    • Sampler.set_scene()
  • SamplerWithAngle
    • SamplerWithAngle.sample()
  • Sampler_Uniform
    • Sampler_Uniform.sample()
    • Sampler_Uniform.set_bounds_manually()
    • Sampler_Uniform.set_scene()
• Tensor Roadmap Solver
  • Tensor Roadmap
    • Roadmap
    • TensorRoadmap
    • build_probabilistic_roadmap()
  • Tensor Solver
    • TensorSolver
• Verify Paths
  • verify_paths()