new_contents: # -*- coding: utf-8 -*-
  from rdflib.graph import ConjunctiveGraph
  from rdflib.parser import StringInputSource
  import textwrap
  
  prefix = textwrap.dedent('''\
      @prefix nie: <http://www.semanticdesktop.org/ontologies/2007/01/19/nie#> .
      @prefix nfo: <http://www.semanticdesktop.org/ontologies/2007/03/22/nfo#> .
      @prefix nco: <http://www.semanticdesktop.org/ontologies/2007/03/22/nco#> .
      @prefix nmo: <http://www.semanticdesktop.org/ontologies/2007/03/22/nmo#> .
      @prefix ncal: <http://www.semanticdesktop.org/ontologies/2007/04/02/ncal#> .
      @prefix nexif: <http://www.semanticdesktop.org/ontologies/2007/05/10/nexif#> .
      @prefix nid3: <http://www.semanticdesktop.org/ontologies/2007/05/10/nid3#> .
      @prefix dc: <http://dublincore.org/documents/2010/10/11/dces/#> .
      @prefix nmm: <http://library.gnome.org/devel/ontology/unstable/nmm-classes.html#> .
      @prefix nao: <http://www.semanticdesktop.org/ontologies/2007/08/15/nao#> .
      ''')
  
  meta = textwrap.dedent(u"""\
  a nfo:PaginatedTextDocument ;
      nie:title "SV Meldung" ;
      nco:creator [ a nco:Contact ;
      nco:fullname "nikratio"] ;
      nie:contentCreated "2011-08-10T20:12:38Z" ;
      dc:format "application/pdf" ;
      nie:description "()" ;
      nao:hasTag ?tag1 ;
      nfo:pageCount 1 ;
      nie:plainTextContent "%s" .
  } } WHERE { {
  ?tag1 a nao:Tag ; nao:prefLabel "()" .
  """)
  
  test_string1 = u"""\
  Betriebsnummer der Einzugsstelle:\nKnappschaft\n980 0000 6\nWICHTIGES DOKUMENT - SORGFÄLTIG AUFBEWAHREN!\n """
  
  def test1():
      meta1 = meta.encode('utf-8') % test_string1.encode('utf-8')
      graph = ConjunctiveGraph()
      graph.parse(StringInputSource(prefix + '<http://example.org/>' + meta1), format='n3')
  
  test_string2 = u"""\
  Betriebsnummer der Einzugsstelle:
  Knappschaft
  980 0000 6
  WICHTIGES DOKUMENT - SORGFÄLTIG AUFBEWAHREN!
  """
  
  def test2():
      meta2 = meta.encode('utf-8') % test_string2.encode('utf-8')
      graph = ConjunctiveGraph()
      graph.parse(StringInputSource(prefix + '<http://example.org/>' + meta2), format='n3')
  
  from nose import SkipTest
  raise SkipTest("Known issue, with newlines in text")
subject: Test for issue190