class_docstr: A stock trading environment for OpenAI gym
class_docstr_tok: ["A","stock","trading","environment","for","OpenAI","gym"]
code: def _seed(self, seed=None):
      self.np_random, seed = seeding.np_random(seed)
      return [seed]
  
imports: from __future__ import annotations
  from typing import List
  import gymnasium
  import matplotlib
  import matplotlib.pyplot
  import numpy
  import pandas
  from gymnasium import spaces
  from gymnasium.utils import seeding
  from stable_baselines3.common.vec_env import DummyVecEnv
label_desc: Use image node_id 14 for calling the StockTradingEnv obj's underlying member method code with example usage: obj._seed(seed) and returns: list