/usr/share/pyshared/pyfits/tests/testPyfitsImage.py is in python-pyfits 1:2.4.0-1build1.
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import unittest
import pyfits
import numpy
import numpy as np
import exceptions,os,sys
import os.path
test_dir = os.path.dirname(__file__) + "/"
# Define a junk file for redirection of stdout
jfile = "junkfile.fits"
class TestPyfitsImageFunctions(unittest.TestCase):
def setUp(self):
# Perform set up actions (if any)
pass
def tearDown(self):
# Perform clean-up actions (if any)
try:
os.remove('test_new2.fits')
except:
pass
try:
os.remove('test_new.fits')
except:
pass
try:
os.remove('test_append.fits')
except:
pass
try:
os.remove('test_update.fits')
except:
pass
try:
os.remove(jfile)
except:
pass
def testCardConstructorDefaultArgs(self):
# Test the constructor with default argument values.
c=pyfits.Card()
self.assertEqual('',c.key)
def testFromstringSetAttributeAscardimage(self):
# test fromstring() which will overwrite the values in the constructor
c=pyfits.Card('abc', 99).fromstring('xyz = 100')
self.assertEqual(100,c.value)
# test set attribute and ascardimage() using the most updated attributes
c.value=200
self.assertEqual(c.ascardimage(),"XYZ = 200 ")
def testString(self):
# test string value
c=pyfits.Card('abc','<8 ch')
self.assertEqual(str(c),"ABC = '<8 ch ' ")
c=pyfits.Card('nullstr','')
self.assertEqual(str(c),"NULLSTR = '' ")
def testBooleanValueCard(self):
# Boolean value card
c=pyfits.Card("abc", pyfits.TRUE)
self.assertEqual(str(c),"ABC = T ")
c=pyfits.Card().fromstring('abc = F')
self.assertEqual(c.value,False)
def testLongIntegerNumber(self):
# long integer number
c=pyfits.Card('long_int', -467374636747637647347374734737437)
self.assertEqual(str(c),"LONG_INT= -467374636747637647347374734737437 ")
def testFloatingPointNumber(self):
# floating point number
c=pyfits.Card('floatnum', -467374636747637647347374734737437.)
if str(c) != "FLOATNUM= -4.6737463674763E+32 " and str(c) != "FLOATNUM= -4.6737463674763E+032 ":
self.assertEqual(str(c),"FLOATNUM= -4.6737463674763E+32 ")
def testComplexValue(self):
# complex value
c=pyfits.Card('abc',1.2345377437887837487e88+6324767364763746367e-33j)
if str(c) != "ABC = (1.23453774378878E+88, 6.32476736476374E-15) " and str(c) != "ABC = (1.2345377437887E+088, 6.3247673647637E-015) ":
self.assertEqual(str(c),"ABC = (1.23453774378878E+88, 6.32476736476374E-15) ")
def testCardImageConstructedTooLong(self):
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
# card image constructed from key/value/comment is too long (non-string value)
c=pyfits.Card('abc',9,'abcde'*20)
self.assertEqual(str(c),"ABC = 9 / abcdeabcdeabcdeabcdeabcdeabcdeabcdeabcdeabcdeab")
c=pyfits.Card('abc', 'a'*68, 'abcdefg')
self.assertEqual(str(c),"ABC = 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa'")
tmpfile.close()
sys.stdout = sys.__stdout__
os.remove(jfile)
def testConstructorFilterIllegalDataStructures(self):
# the constrctor will filter out illegal data structures...
def test(*args,**kwargs):
try:
c = pyfits.Card(args,kwargs)
except ValueError:
c= "Failed as expected"
return c
self.assertEqual(test("abc",value=(2,3)),"Failed as expected")
def test2(*args,**kwargs):
try:
c = pyfits.Card(*args,**kwargs)
except ValueError:
c= "Failed as expected"
return c
self.assertEqual(test2('key',[],'comment'),"Failed as expected")
def testKeywordTooLong(self):
#keywords too long
def test(*args,**kwargs):
try:
c=pyfits.Card(*args,**kwargs)
except ValueError:
c = "Failed as expected"
return c
self.assertEqual(test("abcdefghi", "long"),"Failed as expected")
def testIllegalCharactersInKey(self):
# will not allow illegal characters in key when using constructor
def test(*args,**kwargs):
try:
c=pyfits.Card(*args,**kwargs)
except ValueError:
c="Failed as expected."
return c
self.assertEqual(test('abc+',9),"Failed as expected.")
def testAscardiageVerifiesTheCommentStringToBeAsciiText(self):
# the ascardimage() verifies the comment string to be ASCII text
c=pyfits.Card().fromstring('abc = + 2.1 e + 12 / abcde'+chr(0x00))
def test(obj):
try:
x = str(obj.ascardimage())
except:
x = "Failed as expected."
return x
self.assertEqual(test(c),"Failed as expected.")
def testCommentaryCards(self):
# commentary cards
c=pyfits.Card("history","A commentary card's value has no quotes around it.")
self.assertEqual(str(c),"HISTORY A commentary card's value has no quotes around it. ")
c=pyfits.Card("comment", "A commentary card has no comment.", "comment")
self.assertEqual(str(c),"COMMENT A commentary card has no comment. ")
def testCommentaryCardCreatedByFromstring(self):
# commentary card created by fromstring()
c=pyfits.Card().fromstring("COMMENT card has no comments. / text after slash is still part of the value.")
self.assertEqual(c.value,'card has no comments. / text after slash is still part of the value.')
self.assertEqual(c.comment,'')
def testCommentaryCardWillNotParseNumericalValue(self):
# commentary card will not parse the numerical value
c=pyfits.Card().fromstring("history (1, 2)")
self.assertEqual(str(c.ascardimage()),"HISTORY (1, 2) ")
def testEqualSignAfterColumn8(self):
# equal sign after column 8 of a commentary card will be part ofthe string value
c=pyfits.Card().fromstring("history = (1, 2)")
self.assertEqual(str(c.ascardimage()),"HISTORY = (1, 2) ")
def testSpecifyUndefinedValue(self):
# this is how to specify an undefined value
c=pyfits.Card("undef", pyfits.UNDEFINED)
self.assertEqual(str(c),"UNDEF = ")
def testComplexNumberUsingStringInput(self):
# complex number using string input
c=pyfits.Card().fromstring('abc = (8, 9)')
self.assertEqual(str(c.ascardimage()),"ABC = (8, 9) ")
def testFixableNonStandardFITScard(self):
# fixable non-standard FITS card will keep the original format
c=pyfits.Card().fromstring('abc = + 2.1 e + 12')
self.assertEqual(c.value,2100000000000.0)
self.assertEqual(str(c.ascardimage()),"ABC = +2.1E+12 ")
def testFixableNonFSC(self):
# fixable non-FSC: if the card is not parsable, it's value will be assumed
# to be a string and everything after the first slash will be comment
c= pyfits.Card().fromstring("no_quote= this card's value has no quotes / let's also try the comment")
self.assertEqual(str(c.ascardimage()),"NO_QUOTE= 'this card''s value has no quotes' / let's also try the comment ")
def testUndefinedValueUsingStringInput(self):
# undefined value using string input
c=pyfits.Card().fromstring('abc = ')
self.assertEqual(str(c.ascardimage()),"ABC = ")
def testMisalocatedEqualSign(self):
# test mislocated "=" sign
c=pyfits.Card().fromstring('xyz= 100')
self.assertEqual(c.key,'XYZ')
self.assertEqual(c.value,100)
self.assertEqual(str(c.ascardimage()),"XYZ = 100 ")
def testEqualOnlyUpToColumn10(self):
# the test of "=" location is only up to column 10
c=pyfits.Card().fromstring("histo = (1, 2)")
self.assertEqual(str(c.ascardimage()),"HISTO = '= (1, 2)' ")
c=pyfits.Card().fromstring(" history (1, 2)")
self.assertEqual(str(c.ascardimage()),"HISTO = 'ry (1, 2)' ")
def testVerification(self):
# verification
c=pyfits.Card().fromstring('abc= a6')
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
c.verify()
sys.stdout = sys.__stdout__
tmpfile.close()
tmpfile = open(jfile,'r')
output = tmpfile.read()
tmpfile.close()
os.remove(jfile)
self.assertEqual(output,"Output verification result:\nCard image is not FITS standard (equal sign not at column 8).\n")
self.assertEqual(str(c),"abc= a6 ")
def testFix(self):
c=pyfits.Card().fromstring('abc= a6')
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
c.verify('fix')
sys.stdout = sys.__stdout__
tmpfile.close()
tmpfile = open(jfile,'r')
output = tmpfile.readlines()
tmpfile.close()
os.remove(jfile)
self.assertEqual(output,["Output verification result:\n"," Fixed card to be FITS standard.: ABC\n"])
self.assertEqual(str(c),"ABC = 'a6 ' ")
def testLongStringValue(self):
# test long string value
c=pyfits.Card('abc','long string value '*10, 'long comment '*10)
self.assertEqual(str(c),"ABC = 'long string value long string value long string value long string &' \
CONTINUE 'value long string value long string value long string value long &' \
CONTINUE 'string value long string value long string value &' \
CONTINUE '&' / long comment long comment long comment long comment long \
CONTINUE '&' / comment long comment long comment long comment long comment \
CONTINUE '&' / long comment ")
def testWordInLongStringTooLong(self):
# if a word in a long string is too long, it will be cut in the middle
c=pyfits.Card('abc','longstringvalue'*10, 'longcomment'*10)
self.assertEqual(str(c),"ABC = 'longstringvaluelongstringvaluelongstringvaluelongstringvaluelongstr&'\
CONTINUE 'ingvaluelongstringvaluelongstringvaluelongstringvaluelongstringvalu&'\
CONTINUE 'elongstringvalue&' \
CONTINUE '&' / longcommentlongcommentlongcommentlongcommentlongcommentlongcomme\
CONTINUE '&' / ntlongcommentlongcommentlongcommentlongcomment ")
def testLongStringValueViaFromstring(self):
# long string value via fromstring() method
c=pyfits.Card().fromstring(pyfits.core._pad("abc = 'longstring''s testing & ' / comments in line 1")+pyfits.core._pad("continue 'continue with long string but without the ampersand at the end' / ")+pyfits.core._pad("continue 'continue must have string value (with quotes)' / comments with ''. "))
self.assertEqual(str(c.ascardimage()),"ABC = 'longstring''s testing continue with long string but without the &' \
CONTINUE 'ampersand at the endcontinue must have string value (with quotes)&' \
CONTINUE '&' / comments in line 1 comments with ''. ")
def testHierarchCard(self):
c = pyfits.Card('hierarch abcdefghi',10)
self.assertEqual(str(c.ascardimage()),"HIERARCH abcdefghi = 10 ")
c = pyfits.Card('HIERARCH ESO INS SLIT2 Y1FRML', 'ENC=OFFSET+RESOL*acos((WID-(MAX+MIN))/(MAX-MIN)')
self.assertEqual(str(c.ascardimage()),"HIERARCH ESO INS SLIT2 Y1FRML= 'ENC=OFFSET+RESOL*acos((WID-(MAX+MIN))/(MAX-MIN)'")
def testOpen(self):
# The function "open" reads a FITS file into an HDUList object. There are
# three modes to open: "readonly" (the default), "append", and "update".
# Open a file read-only (the default mode), the content of the FITS file
# are read into memory.
r=pyfits.open(test_dir+'test0.fits') # readonly
# data parts are latent instantiation, so if we close the HDUList without
# touching data, data can not be accessed.
r.close()
try:
r[1].data[:2,:2]
x = "Did not fail as expected."
except:
x = "Failed as expected."
self.assertEqual(x,"Failed as expected.")
def testOpen2(self):
r=pyfits.open(test_dir+'test0.fits')
# Use the "info" method for a summary of the FITS file's content.
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
r.info()
sys.stdout = sys.__stdout__
tmpfile.close()
tmpfile = open(jfile,'r')
output = tmpfile.readlines()
tmpfile.close()
os.remove(jfile)
r.close()
self.assertEqual(output,["Filename: "+test_dir+"test0.fits\n",
"No. Name Type Cards Dimensions Format\n",
"0 PRIMARY PrimaryHDU 138 () int16\n",
"1 SCI ImageHDU 61 (40, 40) int16\n",
"2 SCI ImageHDU 61 (40, 40) int16\n",
"3 SCI ImageHDU 61 (40, 40) int16\n",
"4 SCI ImageHDU 61 (40, 40) int16\n"])
def testIOManipulation(self):
# Get a keyword value. An extension can be referred by name or by number.
# Both extension and keyword names are case insensitive.
r=pyfits.open(test_dir+'test0.fits')
self.assertEqual(r['primary'].header['naxis'],0)
self.assertEqual(r[0].header['naxis'],0)
# If there are more than one extension with the same EXTNAME value, the
# EXTVER can be used (as the second argument) to distinguish the extension.
self.assertEqual(r['sci',1].header['detector'],1)
# append (using "update()") a new card
r[0].header.update('xxx',1.234e56)
if str(r[0].header.ascard[-3:]) != "EXPFLAG = 'NORMAL ' / Exposure interruption indicator \nFILENAME= 'vtest3.fits' / File name \nXXX = 1.234E+56 " and str(r[0].header.ascard[-3:]) != "EXPFLAG = 'NORMAL ' / Exposure interruption indicator \nFILENAME= 'vtest3.fits' / File name \nXXX = 1.234E+056 ":
self.assertEqual(str(r[0].header.ascard[-3:]),"EXPFLAG = 'NORMAL ' / Exposure interruption indicator \nFILENAME= 'vtest3.fits' / File name \nXXX = 1.234E+56 ")
# rename a keyword
r[0].header.rename_key('filename','fname')
try:
r[0].header.rename_key('fname','history')
x = "Did not fail as expected."
except ValueError:
x = "Failed as expected."
self.assertEqual(x, "Failed as expected.")
try:
r[0].header.rename_key('fname','simple')
x = "Did not fail as expected."
except ValueError:
x = "Failed as expected."
self.assertEqual(x, "Failed as expected.")
r[0].header.rename_key('fname','filename')
# get a subsection of data
self.assertEqual(r[2].data[:3,:3].all(),np.array([[349, 349, 348],[348, 348, 348],[349, 349, 350]], dtype=np.int16).all())
#We can create a new FITS file by opening a new file with "append" mode.
n=pyfits.open('test_new.fits',mode='append')
# Append the primary header and the 2nd extension to the new file.
n.append(r[0])
n.append(r[2])
# The flush method will write the current HDUList object back to the newly
# created file on disk. The HDUList is still open and can be further operated.
n.flush()
self.assertEqual(n[1].data[1,1],349)
#modify a data point
n[1].data[1,1]=99
# When the file is closed, the most recent additions of extension(s) since
# last flush() will be appended, but any HDU already existed at the last
# flush will not be modified
n.close()
# If an existing file is opened with "append" mode, like the readonly mode,
# the HDU's will be read into the HDUList which can be modified in memory
# but can not be written back to the original file. A file opened with
# append mode can only add new HDU's.
os.rename('test_new.fits', 'test_append.fits')
a=pyfits.open('test_append.fits',mode='append')
# The above change did not take effect since this was made after the flush().
self.assertEqual(a[1].data[1,1],349)
a.append(r[1])
a.close()
# When changes are made to an HDUList which was opened with "update" mode,
# they will be written back to the original file when a flush/close is called.
os.rename('test_append.fits', 'test_update.fits')
u=pyfits.open('test_update.fits',mode='update')
# When the changes do not alter the size structures of the original (or since
# last flush) HDUList, the changes are written back "in place".
self.assertEqual(u[0].header['rootname'],'U2EQ0201T')
u[0].header['rootname']='abc'
self.assertEqual(u[1].data[1,1],349)
u[1].data[1,1]=99
u.flush()
# If the changes affect the size structure, e.g. adding or deleting HDU(s),
# header was expanded or reduced beyond existing number of blocks (2880 bytes
# in each block), or change the data size, the HDUList is written to a
# temporary file, the original file is deleted, and the temporary file is
# renamed to the original file name and reopened in the update mode.
# To a user, these two kinds of updating writeback seem to be the same, unless
# the optional argument in flush or close is set to 1.
del u[2]
u.flush()
# the write method in HDUList class writes the current HDUList, with
# all changes made up to now, to a new file. This method works the same
# disregard the mode the HDUList was opened with.
u.append(r[3])
u.writeto('test_new.fits')
# Remove temporary files created by this test
u.close()
os.remove('test_new.fits')
os.remove('test_update.fits')
#Another useful new HDUList method is readall. It will "touch" the data parts
# in all HDUs, so even if the HDUList is closed, we can still operate on
# the data.
r=pyfits.open(test_dir+'test0.fits')
r.readall()
r.close()
self.assertEqual(r[1].data[1,1],315)
# create an HDU with data only
data = numpy.ones((3,5), dtype=np.float32)
hdu=pyfits.ImageHDU(data=data, name='SCI')
self.assertEqual(hdu.data.all(),np.array([[ 1., 1., 1., 1., 1.],[ 1., 1., 1., 1., 1.],[ 1., 1., 1., 1., 1.]], dtype=np.float32).all())
# create an HDU with header and data
# notice that the header has the right NAXIS's since it is constructed with
# ImageHDU
hdu2=pyfits.ImageHDU(header=r[1].header, data=numpy.array([1,2],dtype='int32'))
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
print hdu2.header.ascard[1:5]
tmpfile.close()
sys.stdout = sys.__stdout__
tmpfile = open(jfile,'r')
tmplist = tmpfile.readlines()
tmpfile.close()
os.remove(jfile)
self.assertEqual(tmplist,["BITPIX = 32 / array data type \n","NAXIS = 1 / number of array dimensions \n","NAXIS1 = 2 \n","PCOUNT = 0 / number of parameters \n"])
def testMemmoryMapping(self):
# memory mapping
f1 = pyfits.open(test_dir+'test0.fits', memmap=1)
f1.close()
def testVerificationOnOutput(self):
# verification on output
# make a defect HDUList first
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
x = pyfits.ImageHDU()
hdu = pyfits.HDUList(x) # HDUList can take a list or one single HDU
hdu.verify()
sys.stdout = sys.__stdout__
tmpfile.close()
tmpfile = open(jfile,'r')
tmplist = tmpfile.readlines()
tmpfile.close()
os.remove(jfile)
self.assertEqual(tmplist,["Output verification result:\n","HDUList's 0th element is not a primary HDU.\n"])
tmpfile = open(jfile,'w')
sys.stdout = tmpfile
hdu.writeto('test_new2.fits','fix')
sys.stdout = sys.__stdout__
tmpfile.close()
tmpfile = open(jfile,'r')
tmplist = tmpfile.readlines()
tmpfile.close()
os.remove(jfile)
self.assertEqual(tmplist,["Output verification result:\n","HDUList's 0th element is not a primary HDU. Fixed by inserting one as 0th HDU.\n"])
os.remove('test_new2.fits')
def testSection(self):
# section testing
fs=pyfits.open(test_dir+'arange.fits')
self.assertEqual(fs[0].section[3,2,5],np.array([357]))
self.assertEqual(fs[0].section[3,2,:].all(),np.array([352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362]).all())
self.assertEqual(fs[0].section[3,2,4:].all(),np.array([356, 357, 358, 359, 360, 361, 362]).all())
self.assertEqual(fs[0].section[3,2,:8].all(),np.array([352, 353, 354, 355, 356, 357, 358, 359]).all())
self.assertEqual(fs[0].section[3,2,-8:8].all(),np.array([355, 356, 357, 358, 359]).all())
self.assertEqual(fs[0].section[3,2:5,:].all(),np.array([[352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362],
[363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373],
[374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384]]).all())
self.assertEqual(fs[0].section[3,:,:][:3,:3].all(),np.array([[330, 331, 332],
[341, 342, 343],
[352, 353, 354]]).all())
dat=fs[0].data
self.assertEqual(fs[0].section[3,2:5,:8].all(), dat[3,2:5,:8].all())
self.assertEqual(fs[0].section[3,2:5,3].all(), dat[3,2:5,3].all())
self.assertEqual(fs[0].section[3:6,:,:][:3,:3,:3].all(),np.array([[[330, 331, 332],
[341, 342, 343],
[352, 353, 354]],
[[440, 441, 442],
[451, 452, 453],
[462, 463, 464]],
[[550, 551, 552],
[561, 562, 563],
[572, 573, 574]]]).all())
self.assertEqual(fs[0].section[:,:,:][:3,:2,:2].all(),np.array([[[ 0, 1],
[ 11, 12]],
[[110, 111],
[121, 122]],
[[220, 221],
[231, 232]]]).all())
self.assertEqual(fs[0].section[:,2,:].all(), dat[:,2,:].all())
self.assertEqual(fs[0].section[:,2:5,:].all(), dat[:,2:5,:].all())
self.assertEqual(fs[0].section[3:6,3,:].all(), dat[3:6,3,:].all())
self.assertEqual(fs[0].section[3:6,3:7,:].all(), dat[3:6,3:7,:].all())
def testSectionDataSquare(self):
a=np.arange(4).reshape((2,2))
hdu = pyfits.PrimaryHDU(a)
hdu.writeto(jfile)
hdul=pyfits.open(jfile)
d = hdul[0]
dat = hdul[0].data
self.assertEqual(d.section[:,:].all(), dat[:,:].all())
self.assertEqual(d.section[0,:].all(), dat[0,:].all())
self.assertEqual(d.section[1,:].all(), dat[1,:].all())
self.assertEqual(d.section[:,0].all(), dat[:,0].all())
self.assertEqual(d.section[:,1].all(), dat[:,1].all())
self.assertEqual(d.section[0,0].all(), dat[0,0].all())
self.assertEqual(d.section[0,1].all(), dat[0,1].all())
self.assertEqual(d.section[1,0].all(), dat[1,0].all())
self.assertEqual(d.section[1,1].all(), dat[1,1].all())
self.assertEqual(d.section[0:1,0:1].all(), dat[0:1,0:1].all())
self.assertEqual(d.section[0:2,0:1].all(), dat[0:2,0:1].all())
self.assertEqual(d.section[0:1,0:2].all(), dat[0:1,0:2].all())
self.assertEqual(d.section[0:2,0:2].all(), dat[0:2,0:2].all())
os.remove(jfile)
def testSectionDataCube(self):
a=np.arange(18).reshape((2,3,3))
hdu = pyfits.PrimaryHDU(a)
hdu.writeto(jfile)
hdul=pyfits.open(jfile)
d = hdul[0]
dat = hdul[0].data
self.assertEqual(d.section[:,:,:].all(), dat[:,:,:].all())
self.assertEqual(d.section[:,:].all(), dat[:,:].all())
self.assertEqual(d.section[:].all(), dat[:].all())
self.assertEqual(d.section[0,:,:].all(), dat[0,:,:].all())
self.assertEqual(d.section[1,:,:].all(), dat[1,:,:].all())
self.assertEqual(d.section[0,0,:].all(), dat[0,0,:].all())
self.assertEqual(d.section[0,1,:].all(), dat[0,1,:].all())
self.assertEqual(d.section[0,2,:].all(), dat[0,2,:].all())
self.assertEqual(d.section[1,0,:].all(), dat[1,0,:].all())
self.assertEqual(d.section[1,1,:].all(), dat[1,1,:].all())
self.assertEqual(d.section[1,2,:].all(), dat[1,2,:].all())
self.assertEqual(d.section[0,0,0].all(), dat[0,0,0].all())
self.assertEqual(d.section[0,0,1].all(), dat[0,0,1].all())
self.assertEqual(d.section[0,0,2].all(), dat[0,0,2].all())
self.assertEqual(d.section[0,1,0].all(), dat[0,1,0].all())
self.assertEqual(d.section[0,1,1].all(), dat[0,1,1].all())
self.assertEqual(d.section[0,1,2].all(), dat[0,1,2].all())
self.assertEqual(d.section[0,2,0].all(), dat[0,2,0].all())
self.assertEqual(d.section[0,2,1].all(), dat[0,2,1].all())
self.assertEqual(d.section[0,2,2].all(), dat[0,2,2].all())
self.assertEqual(d.section[1,0,0].all(), dat[1,0,0].all())
self.assertEqual(d.section[1,0,1].all(), dat[1,0,1].all())
self.assertEqual(d.section[1,0,2].all(), dat[1,0,2].all())
self.assertEqual(d.section[1,1,0].all(), dat[1,1,0].all())
self.assertEqual(d.section[1,1,1].all(), dat[1,1,1].all())
self.assertEqual(d.section[1,1,2].all(), dat[1,1,2].all())
self.assertEqual(d.section[1,2,0].all(), dat[1,2,0].all())
self.assertEqual(d.section[1,2,1].all(), dat[1,2,1].all())
self.assertEqual(d.section[1,2,2].all(), dat[1,2,2].all())
self.assertEqual(d.section[:,0,0].all(), dat[:,0,0].all())
self.assertEqual(d.section[:,0,1].all(), dat[:,0,1].all())
self.assertEqual(d.section[:,0,2].all(), dat[:,0,2].all())
self.assertEqual(d.section[:,1,0].all(), dat[:,1,0].all())
self.assertEqual(d.section[:,1,1].all(), dat[:,1,1].all())
self.assertEqual(d.section[:,1,2].all(), dat[:,1,2].all())
self.assertEqual(d.section[:,2,0].all(), dat[:,2,0].all())
self.assertEqual(d.section[:,2,1].all(), dat[:,2,1].all())
self.assertEqual(d.section[:,2,2].all(), dat[:,2,2].all())
self.assertEqual(d.section[0,:,0].all(), dat[0,:,0].all())
self.assertEqual(d.section[0,:,1].all(), dat[0,:,1].all())
self.assertEqual(d.section[0,:,2].all(), dat[0,:,2].all())
self.assertEqual(d.section[1,:,0].all(), dat[1,:,0].all())
self.assertEqual(d.section[1,:,1].all(), dat[1,:,1].all())
self.assertEqual(d.section[1,:,2].all(), dat[1,:,2].all())
self.assertEqual(d.section[:,:,0].all(), dat[:,:,0].all())
self.assertEqual(d.section[:,:,1].all(), dat[:,:,1].all())
self.assertEqual(d.section[:,:,2].all(), dat[:,:,2].all())
self.assertEqual(d.section[:,0,:].all(), dat[:,0,:].all())
self.assertEqual(d.section[:,1,:].all(), dat[:,1,:].all())
self.assertEqual(d.section[:,2,:].all(), dat[:,2,:].all())
self.assertEqual(d.section[:,:,0:1].all(), dat[:,:,0:1].all())
self.assertEqual(d.section[:,:,0:2].all(), dat[:,:,0:2].all())
self.assertEqual(d.section[:,:,0:3].all(), dat[:,:,0:3].all())
self.assertEqual(d.section[:,:,1:2].all(), dat[:,:,1:2].all())
self.assertEqual(d.section[:,:,1:3].all(), dat[:,:,1:3].all())
self.assertEqual(d.section[:,:,2:3].all(), dat[:,:,2:3].all())
self.assertEqual(d.section[0:1,0:1,0:1].all(), dat[0:1,0:1,0:1].all())
self.assertEqual(d.section[0:1,0:1,0:2].all(), dat[0:1,0:1,0:2].all())
self.assertEqual(d.section[0:1,0:1,0:3].all(), dat[0:1,0:1,0:3].all())
self.assertEqual(d.section[0:1,0:1,1:2].all(), dat[0:1,0:1,1:2].all())
self.assertEqual(d.section[0:1,0:1,1:3].all(), dat[0:1,0:1,1:3].all())
self.assertEqual(d.section[0:1,0:1,2:3].all(), dat[0:1,0:1,2:3].all())
self.assertEqual(d.section[0:1,0:2,0:1].all(), dat[0:1,0:2,0:1].all())
self.assertEqual(d.section[0:1,0:2,0:2].all(), dat[0:1,0:2,0:2].all())
self.assertEqual(d.section[0:1,0:2,0:3].all(), dat[0:1,0:2,0:3].all())
self.assertEqual(d.section[0:1,0:2,1:2].all(), dat[0:1,0:2,1:2].all())
self.assertEqual(d.section[0:1,0:2,1:3].all(), dat[0:1,0:2,1:3].all())
self.assertEqual(d.section[0:1,0:2,2:3].all(), dat[0:1,0:2,2:3].all())
self.assertEqual(d.section[0:1,0:3,0:1].all(), dat[0:1,0:3,0:1].all())
self.assertEqual(d.section[0:1,0:3,0:2].all(), dat[0:1,0:3,0:2].all())
self.assertEqual(d.section[0:1,0:3,0:3].all(), dat[0:1,0:3,0:3].all())
self.assertEqual(d.section[0:1,0:3,1:2].all(), dat[0:1,0:3,1:2].all())
self.assertEqual(d.section[0:1,0:3,1:3].all(), dat[0:1,0:3,1:3].all())
self.assertEqual(d.section[0:1,0:3,2:3].all(), dat[0:1,0:3,2:3].all())
self.assertEqual(d.section[0:1,1:2,0:1].all(), dat[0:1,1:2,0:1].all())
self.assertEqual(d.section[0:1,1:2,0:2].all(), dat[0:1,1:2,0:2].all())
self.assertEqual(d.section[0:1,1:2,0:3].all(), dat[0:1,1:2,0:3].all())
self.assertEqual(d.section[0:1,1:2,1:2].all(), dat[0:1,1:2,1:2].all())
self.assertEqual(d.section[0:1,1:2,1:3].all(), dat[0:1,1:2,1:3].all())
self.assertEqual(d.section[0:1,1:2,2:3].all(), dat[0:1,1:2,2:3].all())
self.assertEqual(d.section[0:1,1:3,0:1].all(), dat[0:1,1:3,0:1].all())
self.assertEqual(d.section[0:1,1:3,0:2].all(), dat[0:1,1:3,0:2].all())
self.assertEqual(d.section[0:1,1:3,0:3].all(), dat[0:1,1:3,0:3].all())
self.assertEqual(d.section[0:1,1:3,1:2].all(), dat[0:1,1:3,1:2].all())
self.assertEqual(d.section[0:1,1:3,1:3].all(), dat[0:1,1:3,1:3].all())
self.assertEqual(d.section[0:1,1:3,2:3].all(), dat[0:1,1:3,2:3].all())
self.assertEqual(d.section[1:2,0:1,0:1].all(), dat[1:2,0:1,0:1].all())
self.assertEqual(d.section[1:2,0:1,0:2].all(), dat[1:2,0:1,0:2].all())
self.assertEqual(d.section[1:2,0:1,0:3].all(), dat[1:2,0:1,0:3].all())
self.assertEqual(d.section[1:2,0:1,1:2].all(), dat[1:2,0:1,1:2].all())
self.assertEqual(d.section[1:2,0:1,1:3].all(), dat[1:2,0:1,1:3].all())
self.assertEqual(d.section[1:2,0:1,2:3].all(), dat[1:2,0:1,2:3].all())
self.assertEqual(d.section[1:2,0:2,0:1].all(), dat[1:2,0:2,0:1].all())
self.assertEqual(d.section[1:2,0:2,0:2].all(), dat[1:2,0:2,0:2].all())
self.assertEqual(d.section[1:2,0:2,0:3].all(), dat[1:2,0:2,0:3].all())
self.assertEqual(d.section[1:2,0:2,1:2].all(), dat[1:2,0:2,1:2].all())
self.assertEqual(d.section[1:2,0:2,1:3].all(), dat[1:2,0:2,1:3].all())
self.assertEqual(d.section[1:2,0:2,2:3].all(), dat[1:2,0:2,2:3].all())
self.assertEqual(d.section[1:2,0:3,0:1].all(), dat[1:2,0:3,0:1].all())
self.assertEqual(d.section[1:2,0:3,0:2].all(), dat[1:2,0:3,0:2].all())
self.assertEqual(d.section[1:2,0:3,0:3].all(), dat[1:2,0:3,0:3].all())
self.assertEqual(d.section[1:2,0:3,1:2].all(), dat[1:2,0:3,1:2].all())
self.assertEqual(d.section[1:2,0:3,1:3].all(), dat[1:2,0:3,1:3].all())
self.assertEqual(d.section[1:2,0:3,2:3].all(), dat[1:2,0:3,2:3].all())
self.assertEqual(d.section[1:2,1:2,0:1].all(), dat[1:2,1:2,0:1].all())
self.assertEqual(d.section[1:2,1:2,0:2].all(), dat[1:2,1:2,0:2].all())
self.assertEqual(d.section[1:2,1:2,0:3].all(), dat[1:2,1:2,0:3].all())
self.assertEqual(d.section[1:2,1:2,1:2].all(), dat[1:2,1:2,1:2].all())
self.assertEqual(d.section[1:2,1:2,1:3].all(), dat[1:2,1:2,1:3].all())
self.assertEqual(d.section[1:2,1:2,2:3].all(), dat[1:2,1:2,2:3].all())
self.assertEqual(d.section[1:2,1:3,0:1].all(), dat[1:2,1:3,0:1].all())
self.assertEqual(d.section[1:2,1:3,0:2].all(), dat[1:2,1:3,0:2].all())
self.assertEqual(d.section[1:2,1:3,0:3].all(), dat[1:2,1:3,0:3].all())
self.assertEqual(d.section[1:2,1:3,1:2].all(), dat[1:2,1:3,1:2].all())
self.assertEqual(d.section[1:2,1:3,1:3].all(), dat[1:2,1:3,1:3].all())
self.assertEqual(d.section[1:2,1:3,2:3].all(), dat[1:2,1:3,2:3].all())
os.remove(jfile)
def testSectionDataFour(self):
a=np.arange(256).reshape((4,4,4,4))
hdu = pyfits.PrimaryHDU(a)
hdu.writeto(jfile)
hdul=pyfits.open(jfile)
d=hdul[0]
dat = hdul[0].data
self.assertEqual(d.section[:,:,:,:].all(), dat[:,:,:,:].all())
self.assertEqual(d.section[:,:,:].all(), dat[:,:,:].all())
self.assertEqual(d.section[:,:].all(), dat[:,:].all())
self.assertEqual(d.section[:].all(), dat[:].all())
self.assertEqual(d.section[0,:,:,:].all(), dat[0,:,:,:].all())
self.assertEqual(d.section[0,:,0,:].all(), dat[0,:,0,:].all())
self.assertEqual(d.section[:,:,0,:].all(), dat[:,:,0,:].all())
self.assertEqual(d.section[:,1,0,:].all(), dat[:,1,0,:].all())
self.assertEqual(d.section[:,:,:,1].all(), dat[:,:,:,1].all())
os.remove(jfile)
def testCompImage(self):
data = np.zeros((2, 10, 10), dtype=np.float32)
primary_hdu = pyfits.PrimaryHDU()
ofd = pyfits.HDUList(primary_hdu)
ofd.append(pyfits.CompImageHDU(data, name="SCI",
compressionType="GZIP_1",
quantizeLevel=-0.01))
ofd.writeto(jfile)
ofd.close()
fd = pyfits.open (jfile)
self.assertEqual(fd[1].data.all(), data.all())
os.remove(jfile)
def testDoNotScaleImageData(self):
hdul = pyfits.open(test_dir+'scale.fits',do_not_scale_image_data=True)
self.assertEqual(hdul[0].data.dtype,np.dtype('>i2'))
hdul = pyfits.open(test_dir+'scale.fits')
self.assertEqual(hdul[0].data.dtype,np.dtype('float32'))
if __name__ == '__main__':
unittest.main()
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