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Assemble the problem data (ProblemData) from a model

Source: R/problem_data.R
vrp_problem_data.Rd

Builds PyVRP's C++ ProblemData structure from a vrp_model(). Locations follow vrpr's convention: depots first (low indices), then clients, then one pickup and one delivery location per shipment.

Usage

vrp_problem_data(model, distance = NULL, duration = NULL)

Arguments

model

A vrp_model() with at least one depot and one vehicle type.

distance, duration

Matrices (numeric, n x n, locations in depots/clients/shipments order) of distance and duration. If NULL, they are computed as the rounded Euclidean distance between coordinates; duration defaults to distance.

Value

A vrpr_problem_data object (a wrapper around a C++ external pointer).

Details

Integer measures (distance, duration, cost, load) travel as R numeric with integer semantics; non-integer values are rejected at the C++ boundary. Use Inf for "unconstrained" limits (e.g. tw_late).