diff options
Diffstat (limited to 'numpy/ma/tests/test_old_ma.py')
| -rw-r--r-- | numpy/ma/tests/test_old_ma.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/numpy/ma/tests/test_old_ma.py b/numpy/ma/tests/test_old_ma.py index 1c523768d..7100eccbb 100644 --- a/numpy/ma/tests/test_old_ma.py +++ b/numpy/ma/tests/test_old_ma.py @@ -263,7 +263,7 @@ class TestMa(object): m = make_mask(n) m2 = make_mask(m) assert_(m is m2) - m3 = make_mask(m, copy=1) + m3 = make_mask(m, copy=True) assert_(m is not m3) x1 = np.arange(5) @@ -570,7 +570,7 @@ class TestMa(object): ott = array([0., 1., 2., 3.], mask=[1, 0, 0, 0]) assert_(eq(2.0, average(ott, axis=0))) assert_(eq(2.0, average(ott, weights=[1., 1., 2., 1.]))) - result, wts = average(ott, weights=[1., 1., 2., 1.], returned=1) + result, wts = average(ott, weights=[1., 1., 2., 1.], returned=True) assert_(eq(2.0, result)) assert_(wts == 4.0) ott[:] = masked @@ -581,7 +581,7 @@ class TestMa(object): assert_(eq(average(ott, axis=0), [2.0, 0.0])) assert_(average(ott, axis=1)[0] is masked) assert_(eq([2., 0.], average(ott, axis=0))) - result, wts = average(ott, axis=0, returned=1) + result, wts = average(ott, axis=0, returned=True) assert_(eq(wts, [1., 0.])) def test_testAverage2(self): @@ -622,14 +622,14 @@ class TestMa(object): a = arange(6) b = arange(6) * 3 - r1, w1 = average([[a, b], [b, a]], axis=1, returned=1) + r1, w1 = average([[a, b], [b, a]], axis=1, returned=True) assert_equal(shape(r1), shape(w1)) assert_equal(r1.shape, w1.shape) - r2, w2 = average(ones((2, 2, 3)), axis=0, weights=[3, 1], returned=1) + r2, w2 = average(ones((2, 2, 3)), axis=0, weights=[3, 1], returned=True) assert_equal(shape(w2), shape(r2)) - r2, w2 = average(ones((2, 2, 3)), returned=1) + r2, w2 = average(ones((2, 2, 3)), returned=True) assert_equal(shape(w2), shape(r2)) - r2, w2 = average(ones((2, 2, 3)), weights=ones((2, 2, 3)), returned=1) + r2, w2 = average(ones((2, 2, 3)), weights=ones((2, 2, 3)), returned=True) assert_(shape(w2) == shape(r2)) a2d = array([[1, 2], [0, 4]], float) a2dm = masked_array(a2d, [[0, 0], [1, 0]]) |