content: from copy import deepcopy
  
  from batchgenerators.utilities.file_and_folder_operations import *
  
  from nnunetv2.paths import nnUNet_preprocessed
  from nnunetv2.utilities.dataset_name_id_conversion import maybe_convert_to_dataset_name
  
  if __name__ == '__main__':
      import argparse
  
      parser = argparse.ArgumentParser()
      parser.add_argument('-d', nargs='+', type=int, help='List of dataset ids')
      args = parser.parse_args()
  
      for d in args.d:
          dataset_name = maybe_convert_to_dataset_name(d)
          plans = load_json(join(nnUNet_preprocessed, dataset_name, 'nnUNetPlans.json'))
          plans['configurations']['3d_lowres'] = {
              "data_identifier": "nnUNetPlans_3d_lowres",  # do not be a dumbo and forget this. I was a dumbo. And I paid dearly with ~10 min debugging time
              'inherits_from': '3d_fullres',
              "patch_size": [20, 28, 20],
              "median_image_size_in_voxels": [18.0, 25.0, 18.0],
              "spacing": [2.0, 2.0, 2.0],
              "architecture": deepcopy(plans['configurations']['3d_fullres']["architecture"]),
              "next_stage": "3d_cascade_fullres"
          }
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['n_conv_per_stage'] = [2, 2, 2]
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['n_conv_per_stage_decoder'] = [2, 2]
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['strides'] = [[1, 1, 1], [2, 2, 2], [2, 2, 2]]
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['kernel_sizes'] = [[3, 3, 3], [3, 3, 3], [3, 3, 3]]
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['n_stages'] = 3
          plans['configurations']['3d_lowres']['architecture']["arch_kwargs"]['features_per_stage'] = [
              32,
              64,
              128
          ]
  
          plans['configurations']['3d_cascade_fullres'] = {
              'inherits_from': '3d_fullres',
              "previous_stage": "3d_lowres"
          }
          save_json(plans, join(nnUNet_preprocessed, dataset_name, 'nnUNetPlans.json'), sort_keys=False)