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author | Sebastien Fabbro <bicatali@gentoo.org> | 2008-05-22 17:17:56 +0000 |
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committer | Sebastien Fabbro <bicatali@gentoo.org> | 2008-05-22 17:17:56 +0000 |
commit | bd03f4e7c0872a6aa17ab89e5abfbe1e3d467da1 (patch) | |
tree | a2234e1c3e53ffc9ec80978d60bd9fe81d121a52 /dev-python/pyfits | |
parent | Added a patch for a binary table test (diff) | |
download | historical-bd03f4e7c0872a6aa17ab89e5abfbe1e3d467da1.tar.gz historical-bd03f4e7c0872a6aa17ab89e5abfbe1e3d467da1.tar.bz2 historical-bd03f4e7c0872a6aa17ab89e5abfbe1e3d467da1.zip |
adding patch for pyfits
Diffstat (limited to 'dev-python/pyfits')
-rw-r--r-- | dev-python/pyfits/files/pyfits-1.3-test-table.patch | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/dev-python/pyfits/files/pyfits-1.3-test-table.patch b/dev-python/pyfits/files/pyfits-1.3-test-table.patch new file mode 100644 index 000000000000..bb76ea840237 --- /dev/null +++ b/dev-python/pyfits/files/pyfits-1.3-test-table.patch @@ -0,0 +1,40 @@ +--- pyfits-1.3/test/testPyfitsTable.py.orig 2007-12-18 19:10:29.000000000 +0000 ++++ pyfits-1.3/test/testPyfitsTable.py 2008-05-22 17:11:12.000000000 +0100 +@@ -128,7 +128,7 @@ + # the table HDU's data is a subclass of a record array, so we can access + # one row like this: + +- self.assertEqual(str(tbhdu.data[1]),"('def', 12.0, 4, 2, (4.0+4.0j), array([ True], dtype=bool), 102, array([False, True, True, True, True, False, False, False, False,\n True, False], dtype=bool))") ++ self.assertEqual(str(tbhdu.data[1]),"('def', 12.0, 4, 2, (4+4j), array([ True], dtype=bool), 102, array([False, True, True, True, True, False, False, False, False,\n True, False], dtype=bool))") + + # and a column like this: + self.assertEqual(str(tbhdu.data.field('abc')),"['abc' 'def' 'xx']") +@@ -306,11 +306,25 @@ + formats='int16,a20,float32,a10',\ + names='order,name,mag,Sp') + hdu=pyfits.new_table(bright,nrows=2,tbtype='TableHDU') +- s="[(1, 'Serius', -1.45, 'A1V') (2, 'Canopys', -0.73000002, 'F0Ib')]" +- self.assertEqual(str(hdu.data[:]),s) ++ self.assertEqual(hdu.data.field(0).all(), ++ num.array([1,2],dtype=num.int16).all()) ++ self.assertEqual(hdu.data[0][1],'Serius') ++ self.assertEqual(hdu.data[1][1],'Canopys') ++ self.assertEqual(hdu.data.field(2).all(), ++ num.array([-1.45,-0.73],dtype=num.float32).all()) ++ self.assertEqual(hdu.data[0][3],'A1V') ++ self.assertEqual(hdu.data[1][3],'F0Ib') + hdu.writeto('toto.fits', clobber=True) + hdul = pyfits.open('toto.fits') +- self.assertEqual(str(hdul[1].data[:]),s) ++ self.assertEqual(hdul[1].data.field(0).all(), ++ num.array([1,2],dtype=num.int16).all()) ++ self.assertEqual(hdul[1].data[0][1],'Serius') ++ self.assertEqual(hdul[1].data[1][1],'Canopys') ++ self.assertEqual(hdul[1].data.field(2).all(), ++ num.array([-1.45,-0.73],dtype=num.float32).all()) ++ self.assertEqual(hdul[1].data[0][3],'A1V') ++ self.assertEqual(hdul[1].data[1][3],'F0Ib') ++ + os.remove('toto.fits') + hdu=pyfits.new_table(bright,nrows=2) + tmp=pyfits.rec.array([(1,'Serius',-1.45,'A1V'),\ |