cuopt-routing-api-python

# cuOpt Routing — Python API This skill is **Python only**. Routing has no C API in cuOpt. ## Required questions Ask these if not already clear: 1. **Problem type** — TSP, VRP, or PDP? 2. **Locations** — How many? Depot(s)? Cost or distance between pairs (matrix or derived)? 3. **Orders / tasks** — Which locations must be visited? Demand or service per stop? 4. **Fleet** — Number of vehicles, capacity per vehicle (and per dimension if multiple), start/end locations? 5. **Constraints** — Time windows (earliest/latest arrival), service times, precedence (order A before B)? ## Minimal VRP Example ```python import cudf from cuopt import routing cost_matrix = cudf.DataFrame([...], dtype="float32") dm = routing.DataModel(n_locations=4, n_fleet=2, n_orders=3) dm.add_cost_matrix(cost_matrix) dm.set_order_locations(cudf.Series([1, 2, 3], dtype="int32")) solution = routing.Solve(dm, routing.SolverSettings()) if solution.get_status() == 0: solution.display_routes() ``` ## Adding Constraints ```python # Time windows dm.add_transit_time_matrix(transit_time_matrix) dm.set_order_time_windows(earliest_series, latest_series) # Capacities dm.add_capacity_dimension("weight", demand_series, capacity_series) dm.set_order_service_times(service_times) dm.set_vehicle_locations(start_locations, end_locations) dm.set_vehicle_time_windows(earliest_start, latest_return) # Pickup-delivery pairs dm.set_pickup_delivery_pairs(pickup_indices, delivery_indices) # Precedence dm.add_order_prece...