text: from brats.loop.loop_utils import run
  import unet3d.utils.args_utils as get_args
  from unet3d.utils.path_utils import get_model_h5_filename
  import random
  from unet3d.utils.path_utils import get_project_dir
  from brats.config import config, config_unet
  import os
  import pprint
  pp = pprint.PrettyPrinter(indent=4)
  
  config.update(config_unet)
  
  CURRENT_WORKING_DIR = os.path.realpath(__file__)
  PROJECT_DIR = get_project_dir(CURRENT_WORKING_DIR, config["project_name"])
  BRATS_DIR = os.path.join(PROJECT_DIR, config["brats_folder"])
  DATASET_DIR = os.path.join(PROJECT_DIR, config["dataset_folder"])
  
  
  model_list = list()
  cmd_list = list()
  out_file_list = list()
  
  list_25d_model = ["160-192-3", "160-192-5",
                    "160-192-7", "160-192-9", "160-192-11"]
  list_2d_model = ["160-192-1"]
  list_3d_model = ["160-192-128"]
  
  
  for patch_shape in list_25d_model + list_2d_model + list_3d_model:
      if patch_shape in list_2d_model:
          args = get_args.train2d()
          task = "brats/train2d"
          model_dim = 2
          args.batch_size = 64
      elif patch_shape in list_25d_model:
          args = get_args.train25d()
          task = "brats/train25d"
          model_dim = 25
          args.batch_size = 64
      else:
          args = get_args.train()
          task = "brats/train"
          model_dim = 3
          args.batch_size = 1
  
      args.patch_shape = patch_shape
      args.is_test = "0"
  
      for is_augment in ["1"]:
          args.is_augment = is_augment
          for model_name in ["segnet"]:
              args.model = model_name
              for is_denoise in ["0"]:
                  args.is_denoise = is_denoise
                  for is_normalize in ["z"]:
                      args.is_normalize = is_normalize
                      for is_hist_match in ["0"]:
                          args.is_hist_match = is_hist_match
                          for loss in ["weighted"]:
                              if is_normalize == "z" and is_hist_match == "1":
                                  continue
  
                              model_filename = get_model_h5_filename(
                                  "model", args)
  
                              cmd = "python {}.py -t \"{}\" -o \"0\" -n \"{}\" -de \"{}\" -hi \"{}\" -ps \"{}\" -l \"{}\" -m \"{}\" -ba {} -au {} -du 4".format(
                                  task,
                                  args.is_test,
                                  args.is_normalize,
                                  args.is_denoise,
                                  args.is_hist_match,
                                  args.patch_shape,
                                  args.loss,
                                  args.model,
                                  args.batch_size,
                                  args.is_augment
                              )
  
                              model_list.append(model_filename)
                              cmd_list.append(cmd)
  
  
  combined = list(zip(model_list, cmd_list))
  random.shuffle(combined)
  
  model_list[:], cmd_list = zip(*combined)
  
  for i in range(len(model_list)):
      model_filename = model_list[i]
      cmd = cmd_list[i]
      run(model_filename=model_filename, cmd=cmd, config=config,
          model_path="database/model", mode_run=2)
  