def test_methods_unary():
"larry unary nose test"
# Simple unary elementwise operations
for la, laname in las:
for opname in meth_unary1:
npop = getattr(np,opname)
t = npop(la.x) # Add +1 here to check whether tests fail
p = getattr(la, opname)()
yield assert_larry, opname, p, t, la.label, laname
yield assert_, noreference(p, la), opname + ' - noreference'
def test_demedian_3(self):
"larry.demedian_2"
t = self.tmedian
label = self.label3
p = self.lar3.demedian(2)
msg = printfail(t, p.x, 'x')
t[np.isnan(t)] = self.nancode
p[p.isnan()] = self.nancode
self.assert_((abs(t - p.x) < self.tol).all(), msg)
self.assert_(label == p.label, printfail(label, p.label, 'label'))
self.assert_(noreference(p, self.lar3), 'Reference found')
def est_mov_sum_6_3(self):
"larry.mov_sum_6"
t = self.tmov_sum
label = self.label3
p = self.lar3.mov_sum(2, norm=True)
msg = printfail(t, p.x, 'x')
t[np.isnan(t)] = self.nancode
p[p.isnan()] = self.nancode
self.assert_((abs(t - p.x) < self.tol).all(), msg)
self.assert_(label == p.label, printfail(label, p.label, 'label'))
self.assert_(noreference(p, self.lar3), 'Reference found')
def check_function(self, t, label, p, orig, view=False):
"check a method of larry - comparison helper function"
msg = printfail(t, p.x, 'x')
t[np.isnan(t)] = self.nancode
p[p.isnan()] = self.nancode
self.assert_((abs(t - p.x) < self.tol).all(), msg)
self.assert_(label == p.label, printfail(label, p.label, 'label'))
if not view:
self.assert_(noreference(p, orig), 'Reference found')
elif view == 'nocopy' :
self.assert_(nocopy(p, orig), 'copy instead of reference found')
else: #FIXME check view for different dimensional larries
pass
