old_contents: import os
  from itertools import combinations
  
  import numpy as np
  
  from ..tape9utils import origen_to_name
  
  DATA_DIR = os.path.abspath(os.path.join(__file__, os.path.pardir,
      os.path.pardir, os.path.pardir, 'docker', 'data'))
  
  def load_data(datafile):
      with open(datafile) as f:
          return eval(f.read(), {'array': np.array})
  
  def test_data():
      for datafile in os.listdir(DATA_DIR):
          data = load_data(os.path.join(DATA_DIR, datafile))
  
          tape9, time, nuc, phi = datafile.split()[0]
  
          assert 'table_4' in data
          assert 'nuclide' in data['table_4']
  
          nuclides = data['table_4']['nuclides']
  
          keys = ['activation_products', 'actinides', 'fission_products']
          # Sanity check
          for comb in combinations(keys, 2):
              assert set.intersection(*comb) == set()
  
new_contents: import os
  from itertools import combinations
  
  import numpy as np
  
  from ..tape9utils import origen_to_name
  
  DATA_DIR = os.path.abspath(os.path.join(__file__, os.path.pardir,
      os.path.pardir, os.path.pardir, 'docker', 'data'))
  
  def load_data(datafile):
      with open(datafile) as f:
          return eval(f.read(), {'array': np.array})
  
  def test_data():
      for datafile in os.listdir(DATA_DIR):
          data = load_data(os.path.join(DATA_DIR, datafile))
  
          tape9, time, nuc, phi = datafile.split()
  
          assert 'table_4' in data
          assert 'nuclide' in data['table_4']
  
          nuclide = data['table_4']['nuclide']
  
          keys = ['activation_products', 'actinides', 'fission_products']
          # Sanity check
          for comb in combinations(keys, 2):
              a, b = comb
              for common in set.intersection(set(nuclide[a]), set(nuclide[b])):
                  array_a, array_b = nuclide[a][common], nuclide[b][common]
                  assert np.allclose(array_a, 0) \
                      or np.allclose(array_b, 0)
                      # or np.allclose(array_a, array_b)
  
subject: Add a sanity test for the data