code: def load_data(self, cwd):
      data_path_price_array = f"{cwd}/price_ary.npy"
      data_path_tech_array = f"{cwd}/tech_ary.npy"
      data_path_turb_array = f"{cwd}/turb_ary.npy"
  
      turbulence_ary = np.load(
          data_path_turb_array
      )  # turbulence_ary.shape = (1358, ). std, min, max = 3, 0, 65.2
      turbulence_ary = turbulence_ary.repeat(390)  # 13580*390 = 529620
      turbulence_ary = turbulence_ary[
          -528026:
      ]  # 15926 + 528026 = 528026
  
      if os.path.exists(data_path_price_array):
          price_ary = np.load(data_path_price_array).astype(np.float32)
          tech_ary = np.load(data_path_tech_array).astype(np.float32)
          # turbulence_ary = load_dict['turbulence_ary'].astype(np.float32)
  
      return price_ary, tech_ary, turbulence_ary
  
file_path: FinRL/finrl/meta/env_stock_trading/env_nas100_wrds.py
imports: from __future__ import annotations
  import os
  import gym
  import numpy
  from numpy import random
label_desc: Use image node_id 5 for calling the StockEnvNAS100 obj's underlying member method code with example usage: obj.load_data(cwd) and returns: price_ary,  tech_ary,  turbulence_ary