old_contents: # Author: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
  # License: BSD Style.
  
  import os
  import os.path as op
  
  def data_path(path='.'):
      """Get path to local copy of Sample dataset
  
      Parameters
      ----------
      dir : string
          Location of where to look for the sample dataset.
          If not set. The data will be automatically downloaded in
          the local folder.
      """
      archive_name = "MNE-sample-data-processed.tar.gz"
      url = "ftp://surfer.nmr.mgh.harvard.edu/pub/data/" + archive_name
      folder_name = "MNE-sample-data-processed"
  
      martinos_path = '/homes/6/gramfort/cluster/work/data/MNE-sample-data-processed.tar.gz'
  
      if not os.path.exists(op.join(path, folder_name)):
          if os.path.exists(martinos_path):
              archive_name = martinos_path
          elif not os.path.exists(archive_name):
              import urllib
              print "Downloading data, please Wait (600 MB)..."
              print url
              opener = urllib.urlopen(url)
              open(archive_name, 'wb').write(opener.read())
              print
  
          import tarfile
          print "Decompressiong the archive: " + archive_name
          tarfile.open(archive_name, "r:gz").extractall(path=path)
          print
  
      path = op.join(path, folder_name)
      return path
  
new_contents: # Author: Alexandre Gramfort <gramfort@nmr.mgh.harvard.edu>
  # License: BSD Style.
  
  import os
  import os.path as op
  
  def data_path(path='.'):
      """Get path to local copy of Sample dataset
  
      Parameters
      ----------
      dir : string
          Location of where to look for the sample dataset.
          If not set. The data will be automatically downloaded in
          the local folder.
      """
      archive_name = "MNE-sample-data-processed.tar.gz"
      url = "ftp://surfer.nmr.mgh.harvard.edu/pub/data/" + archive_name
      folder_name = "MNE-sample-data"
  
      martinos_path = '/homes/6/gramfort/cluster/work/data/MNE-sample-data-processed.tar.gz'
  
      if not os.path.exists(op.join(path, folder_name)):
          if os.path.exists(martinos_path):
              archive_name = martinos_path
          elif not os.path.exists(archive_name):
              import urllib
              print "Downloading data, please Wait (600 MB)..."
              print url
              opener = urllib.urlopen(url)
              open(archive_name, 'wb').write(opener.read())
              print
  
          import tarfile
          print "Decompressiong the archive: " + archive_name
          tarfile.open(archive_name, "r:gz").extractall(path=path)
          print
  
      path = op.join(path, folder_name)
      return path
  
subject: FIX : in handling of sample dataset