code: def simulate(self, nbounces=1):
      event_times = self.get_collision_times(nbounces)
  
      # get dense path
      t0, state = self.get_initial_state()
      trajectory = [state[0][None]]
      velocity = [state[1][None]]
      times = [t0.reshape(-1)]
      for event_t in event_times:
          tt = torch.linspace(
              float(t0),
              float(event_t),
              int((float(event_t) - float(t0)) * 50),
          )[1:-1]
          tt = torch.cat([t0.reshape(-1), tt, event_t.reshape(-1)])
          solution = odeint(self, state, tt, atol=1e-8, rtol=1e-8)
  
          trajectory.append(solution[0][1:])
          velocity.append(solution[1][1:])
          times.append(tt[1:])
  
          state = self.state_update(tuple(s[-1] for s in solution))
          t0 = event_t
  
      return (
          torch.cat(times),
          torch.cat(trajectory, dim=0).reshape(-1),
          torch.cat(velocity, dim=0).reshape(-1),
          event_times,
      )
  
file_path: torchdiffeq/examples/bouncing_ball.py
imports: import argparse
  import matplotlib.pyplot
  import torch
  import torch.nn
  from torchdiffeq import odeint, odeint_adjoint
  from torchdiffeq import odeint_event
label_desc: Use image node_id 7 for calling the BouncingBallExample obj's underlying member method code with example usage: obj.simulate(nbounces) and returns: torch,  torch,  torch,  event_times