class_docstr: A CartPole env that crashes (or stalls) from time to time.
  
  Useful for testing faulty sub-env (within a vectorized env) handling by
  EnvRunners.
  
  After crashing, the env expects a `reset()` call next (calling `step()` will
  result in yet another error), which may or may not take a very long time to
  complete. This simulates the env having to reinitialize some sub-processes, e.g.
  an external connection.
  
  The env can also be configured to stall (and do nothing during a call to `step()`)
  from time to time for a configurable amount of time.
code: def _should_crash(self, p):
      rnd = self._rng.rand()
      if rnd < p:
          print("Crashing due to p(crash)!")
          return True
      elif self.crash_after_n_steps is not None:
          if self._crash_after_n_steps is None:
              self._crash_after_n_steps = (
                  self.crash_after_n_steps
                  if not isinstance(self.crash_after_n_steps, tuple)
                  else np.random.randint(
                      self.crash_after_n_steps[0],
                      self.crash_after_n_steps[1],
                  )
              )
          if self._crash_after_n_steps == self.timesteps:
              print("Crashing due to n timesteps reached!")
              return True
  
      return False
  
file_path: ray/python/ray/rllib/examples/env/cartpole_crashing.py
imports: import logging
  from gymnasium.envs.classic_control import CartPoleEnv
  import numpy
  import time
  from ray.rllib.examples.env.multi_agent import make_multi_agent
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.error import EnvError
label_desc: Use image node_id 4 for calling the CartPoleCrashing obj's underlying member method code with example usage: obj._should_crash(p) and returns: False, True, True