code: def execute(self, actions):
      next_state = np.random.random(size=(8,))
      terminal = False  # Always False if no "natural" terminal state
      reward = np.random.random()
      return next_state, terminal, reward
  
file_path: tensorforce/test/data/custom_env.py
imports: import numpy
  from tensorforce import Environment
label_desc: Use image node_id 7 for calling the CustomEnvironment obj's underlying member method code with example usage: obj.execute(actions) and returns: next_state,  terminal,  reward