def testwritetoConvienceFunction(self):
"""Test the writeto convience function in both the fits and stpyfits
namespace."""
hdul = stpyfits.open(self.data('cdva2.fits'))
hdul1 = fits.open(self.data('cdva2.fits'))
header = hdul[0].header.copy()
header['NAXIS'] = 0
stpyfits.writeto(self.temp('new.fits'), hdul[0].data, header,
clobber=True)
fits.writeto(self.temp('new1.fits'), hdul1[0].data,hdul1[0].header,
clobber=True)
hdul.close()
hdul1.close()
info1 = fits.info(self.temp('new.fits'), output=False)
info2 = stpyfits.info(self.temp('new.fits'), output=False)
info3 = fits.info(self.temp('new1.fits'), output=False)
info4 = stpyfits.info(self.temp('new1.fits'), output=False)
assert_equal(info1, [(0, 'PRIMARY', 'PrimaryHDU', 6, (), '', '')])
assert_equal(info2,
[(0, 'PRIMARY', 'PrimaryHDU', 6, (10, 10), 'int32', '')])
assert_equal(info3, [(0, 'PRIMARY', 'PrimaryHDU', 6, (), '', '')])
assert_equal(info4,
[(0, 'PRIMARY', 'PrimaryHDU', 6, (10, 10), 'uint8', '')])
def testwritetoConvienceFunction(self):
"""Test the writeto convience function in both the fits and stpyfits
namespace."""
hdul = stpyfits.open(self.data('cdva2.fits'))
hdul1 = fits.open(self.data('cdva2.fits'))
header = hdul[0].header.copy()
header['NAXIS'] = 0
stpyfits.writeto(self.temp('new.fits'),
hdul[0].data,
header,
clobber=True)
fits.writeto(self.temp('new1.fits'),
hdul1[0].data,
hdul1[0].header,
clobber=True)
hdul.close()
hdul1.close()
info1 = fits.info(self.temp('new.fits'), output=False)
info2 = stpyfits.info(self.temp('new.fits'), output=False)
info3 = fits.info(self.temp('new1.fits'), output=False)
info4 = stpyfits.info(self.temp('new1.fits'), output=False)
assert_equal(info1, [(0, 'PRIMARY', 'PrimaryHDU', 6, (), '', '')])
assert_equal(info2,
[(0, 'PRIMARY', 'PrimaryHDU', 6, (10, 10), 'int32', '')])
assert_equal(info3, [(0, 'PRIMARY', 'PrimaryHDU', 6, (), '', '')])
assert_equal(info4,
[(0, 'PRIMARY', 'PrimaryHDU', 6, (10, 10), 'uint8', '')])
def testPrimaryHDUConstructor(self):
"""Test the PrimaryHDU constructor in both the fits and stpyfits
namespace. Although stpyfits does not reimplement the
constructor, it does add _ConstantValueImageBaseHDU to the
inheritance hierarchy of fits.PrimaryHDU when accessed through the
stpyfits namespace. This method tests that that inheritance is
working"""
n = np.zeros(10)
n = n + 1
hdu = stpyfits.PrimaryHDU(n)
hdu.header.set('PIXVALUE', 1.0, 'Constant pixel value', after='EXTEND')
hdu.header.set('NAXIS', 0)
stpyfits.writeto(self.temp('new.fits'),
hdu.data,
hdu.header,
clobber=True)
hdul = stpyfits.open(self.temp('new.fits'))
hdul1 = fits.open(self.temp('new.fits'))
assert_equal(hdul[0].header['NAXIS'], 1)
assert_equal(hdul[0].header['NAXIS1'], 10)
assert_equal(hdul[0].header['PIXVALUE'], 1.0)
assert_raises(KeyError, lambda: hdul[0].header['NPIX1'])
assert_true((hdul[0].data == np.ones(10, dtype=np.float32)).all())
assert_equal(hdul1[0].header['NAXIS'], 0)
assert_equal(hdul1[0].header['NPIX1'], 10)
assert_equal(hdul1[0].header['PIXVALUE'], 1.0)
assert_raises(KeyError, lambda: hdul1[0].header['NAXIS1'])
assert_equal(hdul1[0].data, None)
hdul.close()
hdul1.close()
def testPrimaryHDUConstructor(self):
"""Test the PrimaryHDU constructor in both the fits and stpyfits
namespace. Although stpyfits does not reimplement the
constructor, it does add _ConstantValueImageBaseHDU to the
inheritance hierarchy of fits.PrimaryHDU when accessed through the
stpyfits namespace. This method tests that that inheritance is
working"""
n = np.zeros(10)
n = n + 1
hdu = stpyfits.PrimaryHDU(n)
hdu.header.set('PIXVALUE', 1.0, 'Constant pixel value', after='EXTEND')
hdu.header.set('NAXIS', 0)
stpyfits.writeto(self.temp('new.fits'), hdu.data, hdu.header,
clobber=True)
hdul = stpyfits.open(self.temp('new.fits'))
hdul1 = fits.open(self.temp('new.fits'))
assert_equal(hdul[0].header['NAXIS'], 1)
assert_equal(hdul[0].header['NAXIS1'], 10)
assert_equal(hdul[0].header['PIXVALUE'], 1.0)
assert_raises(KeyError, lambda: hdul[0].header['NPIX1'])
assert_true((hdul[0].data == np.ones(10, dtype=np.float32)).all())
assert_equal(hdul1[0].header['NAXIS'], 0)
assert_equal(hdul1[0].header['NPIX1'], 10)
assert_equal(hdul1[0].header['PIXVALUE'], 1.0)
assert_raises(KeyError, lambda: hdul1[0].header['NAXIS1'])
assert_equal(hdul1[0].data, None)
hdul.close()
hdul1.close()
def testupdateConvienceFunction(self):
"""Test the update convience function in both the fits and stpyfits
namespace."""
hdul = stpyfits.open(self.data('cdva2.fits'))
hdul1 = fits.open(self.data('cdva2.fits'))
header = hdul[0].header.copy()
header['NAXIS'] = 0
stpyfits.writeto(self.temp('new.fits'), hdul[0].data, header,
clobber=True)
hdu = stpyfits.ImageHDU()
hdu1 = fits.ImageHDU()
hdu.data = hdul[0].data
hdu1.data = hdul1[0].data
hdu.header.set('BITPIX', 32)
hdu1.header.set('BITPIX', 32)
hdu.header.set('NAXIS', 0)
hdu.header.set('PIXVALUE', 1, 'Constant pixel value', after='GCOUNT')
hdu1.header.set('PIXVALUE', 1, 'Constant pixel value', after='GCOUNT')
hdu.header.set('NPIX1', 10, 'length of constant array axis 1',
after='GCOUNT')
hdu.header.set('NPIX2', 10, 'length of constant array axis 2',
after='NPIX1')
stpyfits.append(self.temp('new.fits'), hdu.data, hdu.header)
d = hdu.data * 0
stpyfits.update(self.temp('new.fits'), d, hdu.header, 1)
assert_equal(fits.info(self.temp('new.fits'), output=False),
[(0, 'PRIMARY', 'PrimaryHDU', 7, (), '', ''),
(1, '', 'ImageHDU', 8, (), '', '')])
assert_equal(stpyfits.info(self.temp('new.fits'), output=False),
[(0, 'PRIMARY', 'PrimaryHDU', 7, (10, 10), 'int32', ''),
(1, '', 'ImageHDU', 8, (10, 10), 'int32', '')])
hdul7 = stpyfits.open(self.temp('new.fits'))
assert_equal(hdul7[1].header['NAXIS'], 2)
assert_equal(hdul7[1].header['NAXIS1'], 10)
assert_equal(hdul7[1].header['NAXIS2'], 10)
assert_equal(hdul7[1].header['PIXVALUE'], 0)
assert_raises(KeyError, lambda: hdul7[1].header['NPIX1'])
assert_raises(KeyError, lambda: hdul7[1].header['NPIX2'])
assert_true((hdul7[1].data ==
np.zeros((10, 10), dtype=np.int32)).all())
hdul8 = fits.open(self.temp('new.fits'))
assert_equal(hdul8[1].header['NAXIS'], 0)
assert_equal(hdul8[1].header['NPIX1'], 10)
assert_equal(hdul8[1].header['NPIX2'], 10)
assert_equal(hdul8[1].header['PIXVALUE'], 0)
assert_raises(KeyError, lambda: hdul8[1].header['NAXIS1'])
assert_raises(KeyError, lambda: hdul8[1].header['NAXIS2'])
assert_equal(hdul8[1].data, None)
hdul7.close()
hdul8.close()
hdul.close()
hdul1.close()
def testupdateConvienceFunction(self):
"""Test the update convience function in both the fits and stpyfits
namespace."""
hdul = stpyfits.open(self.data('cdva2.fits'))
hdul1 = fits.open(self.data('cdva2.fits'))
header = hdul[0].header.copy()
header['NAXIS'] = 0
stpyfits.writeto(self.temp('new.fits'),
hdul[0].data,
header,
clobber=True)
hdu = stpyfits.ImageHDU()
hdu1 = fits.ImageHDU()
hdu.data = hdul[0].data
hdu1.data = hdul1[0].data
hdu.header.set('BITPIX', 32)
hdu1.header.set('BITPIX', 32)
hdu.header.set('NAXIS', 0)
hdu.header.set('PIXVALUE', 1, 'Constant pixel value', after='GCOUNT')
hdu1.header.set('PIXVALUE', 1, 'Constant pixel value', after='GCOUNT')
hdu.header.set('NPIX1',
10,
'length of constant array axis 1',
after='GCOUNT')
hdu.header.set('NPIX2',
10,
'length of constant array axis 2',
after='NPIX1')
stpyfits.append(self.temp('new.fits'), hdu.data, hdu.header)
d = hdu.data * 0
stpyfits.update(self.temp('new.fits'), d, hdu.header, 1)
assert_equal(fits.info(self.temp('new.fits'), output=False),
[(0, 'PRIMARY', 'PrimaryHDU', 7, (), '', ''),
(1, '', 'ImageHDU', 8, (), '', '')])
assert_equal(stpyfits.info(self.temp('new.fits'), output=False),
[(0, 'PRIMARY', 'PrimaryHDU', 7, (10, 10), 'int32', ''),
(1, '', 'ImageHDU', 8, (10, 10), 'int32', '')])
hdul7 = stpyfits.open(self.temp('new.fits'))
assert_equal(hdul7[1].header['NAXIS'], 2)
assert_equal(hdul7[1].header['NAXIS1'], 10)
assert_equal(hdul7[1].header['NAXIS2'], 10)
assert_equal(hdul7[1].header['PIXVALUE'], 0)
assert_raises(KeyError, lambda: hdul7[1].header['NPIX1'])
assert_raises(KeyError, lambda: hdul7[1].header['NPIX2'])
assert_true((hdul7[1].data == np.zeros((10, 10),
dtype=np.int32)).all())
hdul8 = fits.open(self.temp('new.fits'))
assert_equal(hdul8[1].header['NAXIS'], 0)
assert_equal(hdul8[1].header['NPIX1'], 10)
assert_equal(hdul8[1].header['NPIX2'], 10)
assert_equal(hdul8[1].header['PIXVALUE'], 0)
assert_raises(KeyError, lambda: hdul8[1].header['NAXIS1'])
assert_raises(KeyError, lambda: hdul8[1].header['NAXIS2'])
assert_equal(hdul8[1].data, None)
hdul7.close()
hdul8.close()
hdul.close()
hdul1.close()
