class_docstr: Informations of each trial from one model inference
class_docstr_tok: ["Informations","of","each","trial","from","one","model","inference"]
docstr: Get actions of the next trial
docstr_tok: ["Get","actions","of","the","next","trial"]
code: def get_next(self):
      """
      Get actions of the next trial
      """
      if self.iter >= self.inf_batch_size:
          return None, None
      actions = []
      for step in self.actions:
          actions.append(step[self.iter])
      self.iter += 1
      return self.iter - 1, actions
  
imports: import copy
  import logging
  import numpy
  from gym import spaces
  from schema import Schema, Optional
  import nni
  from nni import ClassArgsValidator
  from nni.tuner import Tuner
  from nni.utils import OptimizeMode, extract_scalar_reward
  from .model import Model
  from .util import set_global_seeds
  from .policy import build_lstm_policy
label_desc: Use image node_id 2 for calling the TrialsInfo obj's underlying member method code with example usage: obj.get_next() and returns: unknown,  actions, None,  None