old_contents: from __future__ import print_function
  
  from metatlas.mzml_loader import mzml_to_hdf, get_test_data
  from metatlas.h5_query import get_XICof, get_data
  
  
  def rmse(target, predictions):
      target = target / target.max()
      predictions = predictions / predictions.max()
  
      return np.sqrt(((predictions - targets) ** 2).mean())
  
  
  def test_xicof():
      return
      fid = tables.open_file('140808_1_RCH2_neg.h5')
      x, y = get_XICof(fid, 1, 1000, 1, 0)
      
      xicof_scidb = np.load('xicof_scidb.npy')
  
      assert rmse(y, xicof_scidb[:, 1]) < 0.01
  
      data = get_data(fid, 1, 0, mz_min=1, mz_max=1000)
      assert x.sum() == data['i'].sum()
      assert y[0] == data['rt'][0]
      assert y[-1] == data['rt'][-1]
  
new_contents: from __future__ import print_function
  
  from metatlas.mzml_loader import mzml_to_hdf, get_test_data
  from metatlas.h5_query import get_XIC, get_data
  
  
  def rmse(target, predictions):
      target = target / target.max()
      predictions = predictions / predictions.max()
  
      return np.sqrt(((predictions - targets) ** 2).mean())
  
  
  def test_xicof():
      return
      fid = tables.open_file('140808_1_RCH2_neg.h5')
      x, y = get_XICof(fid, 1, 1000, 1, 0)
      
      xicof_scidb = np.load('xicof_scidb.npy')
  
      assert rmse(y, xicof_scidb[:, 1]) < 0.01
  
      data = get_data(fid, 1, 0, mz_min=1, mz_max=1000)
      assert x.sum() == data['i'].sum()
      assert y[0] == data['rt'][0]
      assert y[-1] == data['rt'][-1]
  
subject: Fix another import in test