def test_unpack_calpar(self):
calpar = np.zeros((2,3,3+2*(self.info.nAntenna+len(self.info.ublcount))), dtype=np.float32)
m,g,v = Oc.unpack_calpar(self.info,calpar)
self.assertEqual(m['iter'].shape, (2,3))
self.assertTrue(np.all(m['iter'] == 0))
self.assertTrue(np.all(m['chisq'] == 0))
self.assertEqual(len(g), 32)
for i in xrange(32):
self.assertTrue(np.all(g[i] == 1)) # 1 b/c 10**0 = 1
self.assertEqual(len(v), len(self.info.ublcount))
ubls = {}
for i,j in v:
n = self.info.bl1dmatrix[i,j]
ubls[self.info.bltoubl[n]] = n
for u in xrange(len(self.info.ublcount)):
self.assertTrue(ubls.has_key(u))
def test_unpack_calpar(self):
calpar = np.zeros(
(2, 3, 3 + 2 * (self.info.nAntenna + len(self.info.ublcount))),
dtype=np.float32)
m, g, v = Oc.unpack_calpar(self.info, calpar)
self.assertEqual(m['iter'].shape, (2, 3))
self.assertTrue(np.all(m['iter'] == 0))
self.assertTrue(np.all(m['chisq'] == 0))
self.assertEqual(len(g), 32)
for i in xrange(32):
self.assertTrue(np.all(g[i] == 1)) # 1 b/c 10**0 = 1
self.assertEqual(len(v), len(self.info.ublcount))
ubls = {}
for i, j in v:
n = self.info.bl1dmatrix[i, j]
ubls[self.info.bltoubl[n]] = n
for u in xrange(len(self.info.ublcount)):
self.assertTrue(ubls.has_key(u))
def test_unpack_calpar(self):
calpar = np.zeros((2,3,Oc.calpar_size(self.info.nAntenna, len(self.info.ublcount))), dtype=np.float32)
m,g,v = Oc.unpack_calpar(self.info,calpar)
self.assertEqual(m['iter'].shape, (2,3))
self.assertEqual(len(filter(lambda s: 'chisq' in s, m.keys()))-1, self.info.nAntenna)
self.assertTrue(np.all(m['iter'] == 0))
self.assertTrue(np.all(m['chisq'] == 0))
for a in self.info.subsetant:
self.assertTrue(np.all(m['chisq%d'%a] == 0))
self.assertEqual(len(g), 32)
for i in xrange(32):
self.assertTrue(np.all(g[i] == 1)) # 1 b/c 10**0 = 1
self.assertEqual(len(v), len(self.info.ublcount))
ubls = {}
for i,j in v:
n = self.info.bl1dmatrix[i,j]
ubls[self.info.bltoubl[n]] = n
for u in xrange(len(self.info.ublcount)):
self.assertTrue(ubls.has_key(u))