old_contents: # Licensed under a 3-clause BSD style license - see LICENSE.rst
  import os
  import tempfile
  import numpy as np
  import pytest
  import sys
  import platform
  
  from ...lamda import core
  
  DATA_FILES = {'co': 'co.txt'}
  
  
  def data_path(filename):
      data_dir = os.path.join(os.path.dirname(__file__), 'data')
      return os.path.join(data_dir, filename)
  
  
  def test_parser():
      collrates, radtransitions, enlevels = core.parse_lamda_datafile(
          data_path('co.txt'))
  
      assert set(collrates.keys()) == set(['PH2', 'OH2'])
      assert len(enlevels) == 41
      assert len(radtransitions) == 40
  
  
  @pytest.mark.xfail(platform.system() == 'Windows' and sys.version_info[0] >= 3,
                     reason=("https://github.com/astropy/astroquery/pull/894 and "
                             "https://github.com/astropy/astropy/issues/5126"))
  def test_writer():
      tables = core.parse_lamda_datafile(data_path('co.txt'))
      coll, radtrans, enlevels = tables
  
      tmpfd, tmpname = tempfile.mkstemp()
      core.write_lamda_datafile(tmpname, tables)
  
      coll2, radtrans2, enlevels2 = core.parse_lamda_datafile(tmpname)
  
      np.testing.assert_almost_equal(enlevels['Energy'], enlevels2['Energy'])
      np.testing.assert_almost_equal(radtrans['EinsteinA'],
                                     radtrans2['EinsteinA'])
      np.testing.assert_almost_equal(radtrans['Frequency'],
                                     radtrans2['Frequency'])
      for k in coll:
          np.testing.assert_almost_equal(coll[k]['C_ij(T=5)'],
                                         coll2[k]['C_ij(T=5)'])
  
new_contents: # Licensed under a 3-clause BSD style license - see LICENSE.rst
  import os
  import tempfile
  import numpy as np
  from ...lamda import core
  
  DATA_FILES = {'co': 'co.txt'}
  
  
  def data_path(filename):
      data_dir = os.path.join(os.path.dirname(__file__), 'data')
      return os.path.join(data_dir, filename)
  
  
  def test_parser():
      collrates, radtransitions, enlevels = core.parse_lamda_datafile(
          data_path('co.txt'))
  
      assert set(collrates.keys()) == set(['PH2', 'OH2'])
      assert len(enlevels) == 41
      assert len(radtransitions) == 40
  
  
  def test_writer():
      tables = core.parse_lamda_datafile(data_path('co.txt'))
      coll, radtrans, enlevels = tables
  
      tmpfd, tmpname = tempfile.mkstemp()
      core.write_lamda_datafile(tmpname, tables)
  
      coll2, radtrans2, enlevels2 = core.parse_lamda_datafile(tmpname)
  
      np.testing.assert_almost_equal(enlevels['Energy'], enlevels2['Energy'])
      np.testing.assert_almost_equal(radtrans['EinsteinA'],
                                     radtrans2['EinsteinA'])
      np.testing.assert_almost_equal(radtrans['Frequency'],
                                     radtrans2['Frequency'])
      for k in coll:
          np.testing.assert_almost_equal(coll[k]['C_ij(T=5)'],
                                         coll2[k]['C_ij(T=5)'])
  
subject: Revert "xfailing the lamda writer for windows and py3 until #894 is solved"