code: def __init__(self, config):
      state_dim = config["state_dim"]
      action_dim = config["action_dim"]
      self.env_num = 1
      self.max_step = 10000
      self.env_name = "StockEnvEmpty"
      self.state_dim = state_dim
      self.action_dim = action_dim
      self.if_discrete = False
      self.target_return = 9999
      self.observation_space = gym.spaces.Box(
          low=-3000, high=3000, shape=(state_dim,), dtype=np.float32
      )
      self.action_space = gym.spaces.Box(
          low=-1, high=1, shape=(action_dim,), dtype=np.float32
      )
  
imports: from __future__ import annotations
  import datetime
  import threading
  import time
  import alpaca_trade_api
  import gym
  import numpy
  import pandas
  import torch
  from finrl.meta.data_processors.processor_alpaca import AlpacaProcessor
  from finrl.meta.paper_trading.common import AgentPPO
label_desc: Use image node_id 1 to create a new StockEnvEmpty object from inherited base classes: gym with example: obj = StockEnvEmpty(config)