Version bump.

(Portage version: 14609-svn/cvs/Linux x86_64)

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'),\