old_contents: import os
  
  import numpy as np
  from neuroimaging.testing import *
  
  
  
  from neuroimaging.modalities.fmri.api import FmriImage, fromimage
  from neuroimaging.modalities.fmri.pca import PCA
  from neuroimaging.core.api import Image, load_image
  from neuroimaging.testing import funcfile
  
  
  class test_PCA(TestCase):
  
      def setUp(self):
          self.img = load_image(funcfile)
          self.fmridata = fromimage(self.img)
  
          frame = self.fmridata[0]
          self.mask = Image(np.greater(np.asarray(frame), 500).astype(np.float64),
                            frame.grid)
  
  class test_PCAMask(test_PCA):
  #    @dec.slow
      def test_PCAmask(self):
  
          p = PCA(self.fmridata, self.mask)
          p.fit()
          output = p.images(which=range(4))
  
  class test_PCANoMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCA(self):
  
          p = PCA(self.fmridata)
          p.fit()
          output = p.images(which=range(4))
  
  class test_PCAMontageNoMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCAmontage(self):
          from neuroimaging.modalities.fmri.pca import PCAmontage
          from pylab import savefig
          p = PCAmontage(self.fmridata)
          p.fit()
          output = p.images(which=range(4))
          p.time_series()
          p.montage()
          savefig('image.png')
          os.remove('image.png')
  
  class test_PCAMontageMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCAmontage_nomask(self):
          from neuroimaging.modalities.fmri.pca import PCAmontage
          from pylab import savefig
          p = PCAmontage(self.fmridata, mask=self.mask)
          p.fit()
          output = p.images(which=range(4))
          p.time_series()
          p.montage()
          savefig('image.png')
          os.remove('image.png')
  
  
  
  
          
  
  
  
new_contents: import os
  
  import numpy as np
  from neuroimaging.testing import *
  
  
  
  from neuroimaging.modalities.fmri.api import FmriImage, fromimage
  from neuroimaging.modalities.fmri.pca import PCA
  from neuroimaging.core.api import Image, load_image
  from neuroimaging.testing import funcfile
  
  
  class test_PCA(TestCase):
  
      def setUp(self):
          self.img = load_image(funcfile)
          self.fmridata = fromimage(self.img)
  
          frame = self.fmridata[0]
          self.mask = Image(np.greater(np.asarray(frame), 500).astype(np.float64),
                            frame.grid)
  
  class test_PCAMask(test_PCA):
  #    @dec.slow
      def test_PCAmask(self):
  
          p = PCA(self.fmridata, self.mask)
          p.fit()
          output = p.images(which=range(4))
  
  class test_PCANoMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCA(self):
  
          p = PCA(self.fmridata)
          p.fit()
          output = p.images(which=range(4))
  
  # FIXME: Figure out good automated test to replace these graphical tests.
  """
  class test_PCAMontageNoMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCAmontage(self):
          from neuroimaging.modalities.fmri.pca import PCAmontage
          from pylab import savefig
          p = PCAmontage(self.fmridata)
          p.fit()
          output = p.images(which=range(4))
          p.time_series()
          p.montage()
          savefig('image.png')
          os.remove('image.png')
  
  class test_PCAMontageMask(test_PCA):
      @dec.slow
      @dec.data
      def test_PCAmontage_nomask(self):
          from neuroimaging.modalities.fmri.pca import PCAmontage
          from pylab import savefig
          p = PCAmontage(self.fmridata, mask=self.mask)
          p.fit()
          output = p.images(which=range(4))
          p.time_series()
          p.montage()
          savefig('image.png')
          os.remove('image.png')
  """
  
  
  
          
  
  
  
subject: Comment out non-automated test that uses pylab and PCAmontage.