diff options
Diffstat (limited to 'dev-python/pyfits/files/pyfits-1.3-test-table.patch')
| -rw-r--r-- | dev-python/pyfits/files/pyfits-1.3-test-table.patch | 40 |
1 files changed, 0 insertions, 40 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 deleted file mode 100644 index bb76ea840237..000000000000 --- a/dev-python/pyfits/files/pyfits-1.3-test-table.patch +++ /dev/null @@ -1,40 +0,0 @@ ---- 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'),\ |