def test_create_groupdata(self):

        imdata = np.arange(100.0)
        imdata.shape = (10, 1, 1, 2, 5)
        pdata1 = np.arange(10, dtype=np.float32) + 0.1
        pdata2 = 42.0
        x = fits.hdu.groups.GroupData(imdata, parnames=['abc', 'xyz'],
                                      pardata=[pdata1, pdata2], bitpix=-32)

        assert x.parnames == ['abc', 'xyz']
        assert (x.par('abc') == pdata1).all()
        assert (x.par('xyz') == ([pdata2] * len(x))).all()
        assert (x.data == imdata).all()

        # Test putting the data into a GroupsHDU and round-tripping it
        ghdu = fits.GroupsHDU(data=x)
        ghdu.writeto(self.temp('test.fits'))

        with fits.open(self.temp('test.fits')) as h:
            hdr = h[0].header
            assert hdr['GCOUNT'] == 10
            assert hdr['PCOUNT'] == 2
            assert hdr['NAXIS'] == 5
            assert hdr['NAXIS1'] == 0
            assert hdr['NAXIS2'] == 5
            assert hdr['NAXIS3'] == 2
            assert hdr['NAXIS4'] == 1
            assert hdr['NAXIS5'] == 1
            assert h[0].data.parnames == ['abc', 'xyz']
            assert comparerecords(h[0].data, x)
Authors are in ["firstName lastName", "firstName lastName"] format
dataset/ETHPy150Open spacetelescope/PyFITS/pyfits/tests/test_groups.py/TestGroupsFunctions.test_create_groupdata--crossover with--dataset/ETHPy150Open codelucas/newspaper/newspaper/article.py/Article.set_authors