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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def step(self, actions):
 """Takes a step in all environments. Subclasses should override _step to do the actual reset if something other than the default implementation is desired. Args: actions: Batch of actions. Returns: (preprocessed_observations, processed_rewards, dones, infos). """


    observations, raw_rewards, dones, infos = self._step(actions)

    # Process rewards.
    raw_rewards = raw_rewards.astype(np.float32)
    processed_rewards = self.process_rewards(raw_rewards)

    # Process observations.
    processed_observations = self.process_observations(observations)

    # Record history.
    self.trajectories.step(processed_observations, raw_rewards,
                           processed_rewards, dones, actions)

    return processed_observations, processed_rewards, dones, infos