code: def generate(data, iterations=1000, force_strength=5.0, dampening=0.01,
               max_velocity=2.0, max_distance=50, is_3d=True):
      
  
      edges = [{'source': s, 'target': t} for s, t in data]
      nodes = force_directed_layout.run(edges, iterations, force_strength,
                                        dampening, max_velocity, max_distance,
                                        is_3d)
      return {'edges': edges, 'nodes': nodes}
docs: Runs a force-directed algorithm on a graph, returning a data structure.
  
      Args:
          data: An adjacency list of tuples (ie. [(1,2),...])
          iterations: (Optional) Number of FDL iterations to run in coordinate
              generation
          force_strength: (Optional) Strength of Coulomb and Hooke forces
              (edit this to scale the distance between nodes)
          dampening: (Optional) Multiplier to reduce force applied to nodes
          max_velocity: (Optional) Maximum distance a node can move in one step
          max_distance: (Optional) The maximum inter-node distance considered
          is_3d: (Optional) Generates three-dimensional coordinates
  
      Outputs a json-serializable Python object. To visualize, pass the output to
      `jgraph.draw(...)`.