old_contents: import pickle
  import h5py
  
  from utils import make_make_data
  import sys
  import os
  
  
  Np_lim,Nd_lim = sys.argv[1],sys.argv[2]
  make_data = make_make_data(Np_lim,Nd_lim)
  
  train_path = 'train_{}_{}/'.format(Np_lim,Nd_lim)
  val_path = 'val_{}_{}/'.format(Np_lim,Nd_lim)
  test_path = 'test_{}_{}/'.format(Np_lim,Nd_lim)
  
  os.mkdir(train_path)
  os.mkdir(val_path)
  os.mkdir(test_path)
  
  
  # make train
  for i in range(500):
      full,lim = make_data()
      f = h5py.File(train_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
  # make validation
  for i in range(100):
      full,lim = make_data()
      f = h5py.File(val_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
  # make test
  for i in range(500):
      full,lim = make_data()
      f = h5py.File(test_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
new_contents: import pickle
  import h5py
  
  from utils import make_make_data
  import sys
  import os
  
  
  Np_lim,Nd_lim = int(sys.argv[1]),int(sys.argv[2])
  make_data = make_make_data(Np_lim,Nd_lim)
  
  train_path = 'train_{}_{}/'.format(Np_lim,Nd_lim)
  val_path = 'val_{}_{}/'.format(Np_lim,Nd_lim)
  test_path = 'test_{}_{}/'.format(Np_lim,Nd_lim)
  
  os.mkdir(train_path)
  os.mkdir(val_path)
  os.mkdir(test_path)
  
  
  # make train
  for i in range(500):
      full,lim = make_data()
      f = h5py.File(train_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
  # make validation
  for i in range(100):
      full,lim = make_data()
      f = h5py.File(val_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
  # make test
  for i in range(500):
      full,lim = make_data()
      f = h5py.File(test_path + "{}.hdf5".format(i), "w")
      f.create_dataset('lim', data=lim)
      f.create_dataset('full', data=full)
      f.close()
  
subject: convert args to ints