def test_open_file_with_bad_header_padding(self):
"""
Regression test for #136; open files with nulls for header block
padding instead of spaces.
"""
a = np.arange(100).reshape((10, 10))
hdu = pyfits.PrimaryHDU(data=a)
hdu.writeto(self.temp('temp.fits'))
# Figure out where the header padding begins and fill it with nulls
end_card_pos = str(hdu.header).index('END' + ' ' * 77)
padding_start = end_card_pos + 80
padding_len = 2880 - padding_start
with open(self.temp('temp.fits'), 'r+b') as f:
f.seek(padding_start)
f.write('\0'.encode('ascii') * padding_len)
with catch_warnings(record=True) as w:
with pyfits.open(self.temp('temp.fits')) as hdul:
assert_true('contains null bytes instead of spaces' in
str(w[0].message))
assert_equal(len(w), 1)
assert_equal(len(hdul), 1)
assert_equal(str(hdul[0].header), str(hdu.header))
assert_true((hdul[0].data == a).all())
def test():
with catch_warnings(record=True) as w:
pid = os.getpid()
os.kill(pid, signal.SIGINT)
# One more time, for good measure
os.kill(pid, signal.SIGINT)
assert len(w) == 2
assert (str(w[0].message) ==
'KeyboardInterrupt ignored until test is '
'complete!')
def test_verification_on_output(self):
# verification on output
# make a defect HDUList first
err_text = "HDUList's 0th element is not a primary HDU."
with catch_warnings(record=True) as w:
x = pyfits.ImageHDU()
# HDUList can take a list or one single HDU
hdu = pyfits.HDUList(x)
with CaptureStdio():
hdu.verify()
assert_equal(len(w), 3)
assert_true(err_text in str(w[1].message))
fix_text = err_text + " Fixed by inserting one as 0th HDU."
with catch_warnings(record=True) as w:
with CaptureStdio():
hdu.writeto(self.temp('test_new2.fits'), 'fix')
assert_equal(len(w), 3)
assert_true(fix_text in str(w[1].message))
def test_flush_readonly(self):
"""Test flushing changes to a file opened in a read only mode."""
oldmtime = os.stat(self.data('test0.fits')).st_mtime
hdul = pyfits.open(self.data('test0.fits'))
hdul[0].header['FOO'] = 'BAR'
with catch_warnings(record=True) as w:
hdul.flush()
assert_equal(len(w), 1)
assert_true('mode is not supported' in str(w[0].message))
assert_equal(oldmtime, os.stat(self.data('test0.fits')).st_mtime)
def test_ignore_verification_error(self):
hdu = pyfits.ImageHDU()
# The default here would be to issue a warning; ensure that no warnings
# or exceptions are raised
with catch_warnings():
warnings.simplefilter("error")
del hdu.header["NAXIS"]
try:
hdu.verify("ignore")
except Exception, e:
self.fail("An exception occurred when the verification error " "should have been ignored: %s" % e)
def test_ignore_verification_error(self):
hdu = fits.ImageHDU()
# The default here would be to issue a warning; ensure that no warnings
# or exceptions are raised
with catch_warnings():
warnings.simplefilter('error')
del hdu.header['NAXIS']
try:
hdu.verify('ignore')
except Exception, e:
self.fail('An exception occurred when the verification error '
'should have been ignored: %s' % e)
def test_disable_image_compression(self):
with catch_warnings():
# No warnings should be displayed in this case
warnings.simplefilter('error')
with pyfits.open(self.data('comp.fits'),
disable_image_compression=True) as hdul:
# The compressed image HDU should show up as a BinTableHDU, but
# *not* a CompImageHDU
assert_true(isinstance(hdul[1], pyfits.BinTableHDU))
assert_false(isinstance(hdul[1], pyfits.CompImageHDU))
with pyfits.open(self.data('comp.fits')) as hdul:
assert_true(isinstance(hdul[1], pyfits.CompImageHDU))
def test_section(self):
# section testing
fs = pyfits.open(self.data('arange.fits'))
with catch_warnings(record=True) as w:
assert_equal(fs[0].section[3, 2, 5], np.array([357]))
assert_equal(len(w), 0)
def test_hdu_get_size(self):
with catch_warnings(record=True) as w:
t1 = pyfits.open(self.data('tb.fits'))
assert_equal(len(w), 0)
def test_card_with_continue(self):
h = pyfits.PrimaryHDU()
with catch_warnings(record=True) as w:
h.header['abc'] = 'abcdefg' * 20
assert_equal(len(w), 0)
def test_section(self):
# section testing
fs = fits.open(self.data('arange.fits'))
with catch_warnings(record=True) as w:
assert np.all(fs[0].section[3, 2, 5] == np.array([357]))
assert len(w) == 0
