old_contents: import os
  import numpy as np
  import pandas as pd
  from nose.plugins.skip import SkipTest
  from numpy.testing import assert_equal
  
  from .. import locator
  
  
  def test_locate_peaks():
      """Test that known peaks are located properly."""
      if "FSLDIR" not in os.environ:
          raise SkipTest
  
      challenge = [
          ([(60, 60, 50)], ("L Cereb WM", 100)),
          ([(62, 69, 50)], ("MFG", 20)),
          ([(31, 50, 27)], ("Parahip G, post", 30)),
          ([(26, 55, 27)], ("Temp Fus Ctx, post", 3)),
          ([(29, 50, 30)], ("R Hippocampus", 95))]
  
      for coord, res in challenge:
          res = dict(zip(["MaxProb Region", "Prob"], list(res)))
          res = pd.DataFrame(res, index=[0])
          out = np.array(locator.locate_peaks(coord))
          out[0, -1] = int(out[0, -1])
          yield assert_equal, np.array(res), out
  
  
  def test_shorten_name():
      """Test that verbose Harvard Oxford ROI names are shorted."""
      names = [("Parahippocampal Gyrus, anterior division",
                "Parahip G, ant",
                "ctx"),
               ("Middle Frontal Gyrus", "MFG", "ctx"),
               ("Right Hippocampus", "R Hippocampus", "sub")]
  
      for orig, new, atlas in names:
          yield assert_equal, new, locator.shorten_name(orig, atlas)
  
  
  def test_vox_to_mni():
      """Test the voxel index to MNI coordinate transformation."""
      if "FSLDIR" not in os.environ:
          raise SkipTest
  
      coords = [((29, 68, 57), (32, 10, 42)),
                ((70, 38, 42), (-50, -50, 12)),
                ((45, 63, 36), (0, 0, 0))]
  
      for vox, mni in coords:
          vox = np.atleast_2d(vox)
          mni = np.atleast_2d(mni)
          yield assert_equal, mni, locator.vox_to_mni(vox)
  
new_contents: import os
  import numpy as np
  import pandas as pd
  from nose.plugins.skip import SkipTest
  from numpy.testing import assert_equal
  
  from .. import locator
  
  
  def test_locate_peaks():
      """Test that known peaks are located properly."""
      if "FSLDIR" not in os.environ:
          raise SkipTest
  
      challenge = [
          ([(60, 60, 50)], ("L Cereb WM", 95)),
          ([(62, 69, 50)], ("MFG", 20)),
          ([(31, 50, 27)], ("Parahip G, post", 30)),
          ([(26, 55, 27)], ("Temp Fus Ctx, post", 3)),
          ([(29, 50, 30)], ("R Hippocampus", 95))]
  
      for coord, res in challenge:
          res = dict(zip(["MaxProb Region", "Prob"], list(res)))
          res = pd.DataFrame(res, index=[0])
          out = np.array(locator.locate_peaks(coord))
          out[0, -1] = int(out[0, -1])
          yield assert_equal, np.array(res), out
  
  
  def test_shorten_name():
      """Test that verbose Harvard Oxford ROI names are shorted."""
      names = [("Parahippocampal Gyrus, anterior division",
                "Parahip G, ant",
                "ctx"),
               ("Middle Frontal Gyrus", "MFG", "ctx"),
               ("Right Hippocampus", "R Hippocampus", "sub")]
  
      for orig, new, atlas in names:
          yield assert_equal, new, locator.shorten_name(orig, atlas)
  
  
  def test_vox_to_mni():
      """Test the voxel index to MNI coordinate transformation."""
      if "FSLDIR" not in os.environ:
          raise SkipTest
  
      coords = [((29, 68, 57), (32, 10, 42)),
                ((70, 38, 42), (-50, -50, 12)),
                ((45, 63, 36), (0, 0, 0))]
  
      for vox, mni in coords:
          vox = np.atleast_2d(vox)
          mni = np.atleast_2d(mni)
          yield assert_equal, mni, locator.vox_to_mni(vox)
  
subject: Update to new FSL atlas