def test_LeastSquares_mask():
c = LeastSquares([1, 2, 3], [3, np.nan, 4], [1, 1, 1], lambda x, a: x + a)
assert c.ndata == 3
assert np.isnan(c(0)) == True
m = Minuit(c, 1)
assert m.ndof == 2
m.migrad()
assert not m.valid
c.mask = np.arange(3) != 1
assert np.isnan(c(0)) == False
assert c.ndata == 2
assert m.ndof == 1
m.migrad()
assert m.valid
assert_equal(m.values, [1.5])
def test_LeastSquares_mask():
c = LeastSquares([1, 2, 3], [3, np.nan, 4], [1, 1, 1], lambda x, a: x + a)
assert np.isnan(c(0)) == True
c.mask = np.arange(3) != 1
assert np.isnan(c(0)) == False
