text: import argparse
  import pickle
  
  from model import DynamicWordEmbeddigs
  from util import cos_sim, calculate_similarities, roc, plot_roc, plot_loss
  
  
  def main(args):
      print(args)
      fp = open(args.id_to_word, "rb")
      id_to_word = pickle.load(fp)
      time_bins = len(args.ppmi_pathes)
      dev_words = []
      with open(args.dev_list) as fp:
          for line in fp:
              word = line.strip()
              dev_words.append(word)
      model = DynamicWordEmbeddigs(
          time_bins=time_bins,
          dim=args.dim,
          lam=args.lam,
          tau=args.tau,
          gam=args.gam,
          es=args.es,
      )
      model.load_ppmi_matrix(args.ppmi_pathes, len(id_to_word))
      losses, best_loss, best_Ws, best_Us = model.train(args.n_iter, args.seed)
      fp = open(
          f"./Ws_d-{args.dim}_l-{args.lam}_t-{args.tau}_g-{args.gam}_es-{args.es}.pkl",
          "wb",
      )
      pickle.dump(best_Ws, fp)
      auc, fp, tp = roc(best_Ws, id_to_word, dev_words, with_norm=False)
      plot_roc(fp, tp, auc, args.lam, args.tau, args.gam, args.es)
      plot_loss(losses, args.lam, args.tau, args.gam, args.es)
  
  
  def cli_main():
      parser = argparse.ArgumentParser()
      parser.add_argument("-m", "--ppmi_pathes", nargs="*", help="path of ppmi-matrixes.")
      parser.add_argument("-s", "--seed", type=int, default=1, help="int, random seed.")
      parser.add_argument(
          "-d", "--dim", type=int, default=100, help="int, dimension of word embedding."
      )
      parser.add_argument(
          "-n", "--n_iter", type=int, default=5, help="int, iteration of training."
      )
      parser.add_argument(
          "-l",
          "--lam",
          type=float,
          default=10.0,
          help="float, hyperparameter. Strength approximating PPMI.",
      )
      parser.add_argument(
          "-t",
          "--tau",
          type=float,
          default=50.0,
          help="float, hyperparameter. Strength of kalman-filter in main embedding.",
      )
      parser.add_argument(
          "-g",
          "--gam",
          type=float,
          default=50.0,
          help="float, hyperparameter. Strength of kalman-filter in main embedding.",
      )
      parser.add_argument("-e", "--es", type=int, default=3, help="int, early stopping")
      parser.add_argument("-p", "--id_to_word", help="path of id_to_word dictionary")
      parser.add_argument("-w", "--dev_list", help="path of dev word list")
      args = parser.parse_args()
      main(args)
  
  
  if __name__ == "__main__":
      cli_main()
  