Ejemplo n.º 1
0
def test_jones():
    """
    Test when data file has more than one element in Jones matrix.

    Currently we do not have a testfile, so we will artifically create one
    and check for internal consistency.
    """
    cal_in = UVCal()
    cal_out = UVCal()
    testfile = os.path.join(DATA_PATH, 'zen.2457698.40355.xx.fitsA')
    write_file = os.path.join(DATA_PATH, 'test/outtest_jones.fits')
    message = testfile + ' appears to be an old calfits format which'
    uvtest.checkWarnings(cal_in.read_calfits, [testfile], message=message)

    # Create filler jones info
    cal_in.jones_array = np.array([-5, -6, -7, -8])
    cal_in.Njones = 4
    cal_in.flag_array = np.zeros(cal_in._flag_array.expected_shape(cal_in),
                                 dtype=bool)
    cal_in.gain_array = np.ones(cal_in._gain_array.expected_shape(cal_in),
                                dtype=np.complex64)
    cal_in.quality_array = np.zeros(
        cal_in._quality_array.expected_shape(cal_in))

    cal_in.write_calfits(write_file, clobber=True)
    cal_out.read_calfits(write_file)
    nt.assert_equal(cal_in, cal_out)

    # Repeat for delay version
    testfile = os.path.join(DATA_PATH, 'zen.2457698.40355.xx.HH.uvc.fits')
    message = [
        testfile + ' appears to be an old calfits format which',
        testfile + ' appears to be an old calfits format for delay files'
    ]
    uvtest.checkWarnings(cal_in.read_calfits, [testfile],
                         message=message,
                         nwarnings=2)

    # Create filler jones info
    cal_in.jones_array = np.array([-5, -6, -7, -8])
    cal_in.Njones = 4
    cal_in.flag_array = np.zeros(cal_in._flag_array.expected_shape(cal_in),
                                 dtype=bool)
    cal_in.delay_array = np.ones(cal_in._delay_array.expected_shape(cal_in),
                                 dtype=np.float64)
    cal_in.quality_array = np.zeros(
        cal_in._quality_array.expected_shape(cal_in))

    cal_in.write_calfits(write_file, clobber=True)
    cal_out.read_calfits(write_file)
    nt.assert_equal(cal_in, cal_out)
    del (cal_in)
    del (cal_out)
Ejemplo n.º 2
0
def test_errors():
    """
    Test for various errors.

    """
    cal_in = UVCal()
    cal_out = UVCal()
    testfile = os.path.join(DATA_PATH, 'zen.2457698.40355.xx.HH.uvc.fits')
    write_file = os.path.join(DATA_PATH, 'test/outtest_firstcal.fits')
    message = [testfile + ' appears to be an old calfits format which',
               testfile + ' appears to be an old calfits format for delay files']
    uvtest.checkWarnings(cal_in.read_calfits, [testfile], message=message,
                         nwarnings=2)

    cal_in.set_unknown_cal_type()
    nt.assert_raises(ValueError, cal_in.write_calfits, write_file, run_check=False, clobber=True)

    # change values for various axes in flag and total quality hdus to not match primary hdu
    uvtest.checkWarnings(cal_in.read_calfits, [testfile], message=message,
                         nwarnings=2)
    # Create filler jones info
    cal_in.jones_array = np.array([-5, -6, -7, -8])
    cal_in.Njones = 4
    cal_in.flag_array = np.zeros(cal_in._flag_array.expected_shape(cal_in), dtype=bool)
    cal_in.delay_array = np.ones(cal_in._delay_array.expected_shape(cal_in), dtype=np.float64)
    cal_in.quality_array = np.zeros(cal_in._quality_array.expected_shape(cal_in))

    # add total_quality_array so that can be tested as well
    cal_in.total_quality_array = np.zeros(cal_in._total_quality_array.expected_shape(cal_in))

    header_vals_to_double = [{'flag': 'CDELT2'}, {'flag': 'CDELT3'},
                             {'flag': 'CRVAL5'}, {'totqual': 'CDELT1'},
                             {'totqual': 'CDELT2'}, {'totqual': 'CRVAL4'}]
    for i, hdr_dict in enumerate(header_vals_to_double):
        cal_in.write_calfits(write_file, clobber=True)

        unit = list(hdr_dict.keys())[0]
        keyword = hdr_dict[unit]

        F = fits.open(write_file)
        data = F[0].data
        primary_hdr = F[0].header
        hdunames = uvutils._fits_indexhdus(F)
        ant_hdu = F[hdunames['ANTENNAS']]
        flag_hdu = F[hdunames['FLAGS']]
        flag_hdr = flag_hdu.header
        totqualhdu = F[hdunames['TOTQLTY']]
        totqualhdr = totqualhdu.header

        if unit == 'flag':
            flag_hdr[keyword] *= 2
        elif unit == 'totqual':
            totqualhdr[keyword] *= 2

        prihdu = fits.PrimaryHDU(data=data, header=primary_hdr)
        hdulist = fits.HDUList([prihdu, ant_hdu])
        flag_hdu = fits.ImageHDU(data=flag_hdu.data, header=flag_hdr)
        hdulist.append(flag_hdu)
        totqualhdu = fits.ImageHDU(data=totqualhdu.data, header=totqualhdr)
        hdulist.append(totqualhdu)

        if float(astropy.__version__[0:3]) < 1.3:
            hdulist.writeto(write_file, clobber=True)
        else:
            hdulist.writeto(write_file, overwrite=True)

        nt.assert_raises(ValueError, cal_out.read_calfits, write_file, strict_fits=True)

    # repeat for gain type file
    testfile = os.path.join(DATA_PATH, 'zen.2457698.40355.xx.fitsA')
    write_file = os.path.join(DATA_PATH, 'test/outtest_omnical.fits')
    message = testfile + ' appears to be an old calfits format which'
    uvtest.checkWarnings(cal_in.read_calfits, [testfile], message=message)

    # Create filler jones info
    cal_in.jones_array = np.array([-5, -6, -7, -8])
    cal_in.Njones = 4
    cal_in.flag_array = np.zeros(cal_in._flag_array.expected_shape(cal_in), dtype=bool)
    cal_in.gain_array = np.ones(cal_in._gain_array.expected_shape(cal_in), dtype=np.complex64)
    cal_in.quality_array = np.zeros(cal_in._quality_array.expected_shape(cal_in))

    # add total_quality_array so that can be tested as well
    cal_in.total_quality_array = np.zeros(cal_in._total_quality_array.expected_shape(cal_in))

    header_vals_to_double = [{'totqual': 'CDELT1'}, {'totqual': 'CDELT2'},
                             {'totqual': 'CDELT3'}, {'totqual': 'CRVAL4'}]

    for i, hdr_dict in enumerate(header_vals_to_double):
        cal_in.write_calfits(write_file, clobber=True)

        unit = list(hdr_dict.keys())[0]
        keyword = hdr_dict[unit]

        F = fits.open(write_file)
        data = F[0].data
        primary_hdr = F[0].header
        hdunames = uvutils._fits_indexhdus(F)
        ant_hdu = F[hdunames['ANTENNAS']]
        totqualhdu = F[hdunames['TOTQLTY']]
        totqualhdr = totqualhdu.header

        if unit == 'totqual':
            totqualhdr[keyword] *= 2

        prihdu = fits.PrimaryHDU(data=data, header=primary_hdr)
        hdulist = fits.HDUList([prihdu, ant_hdu])
        totqualhdu = fits.ImageHDU(data=totqualhdu.data, header=totqualhdr)
        hdulist.append(totqualhdu)

        if float(astropy.__version__[0:3]) < 1.3:
            hdulist.writeto(write_file, clobber=True)
        else:
            hdulist.writeto(write_file, overwrite=True)

        nt.assert_raises(ValueError, cal_out.read_calfits, write_file, strict_fits=True)