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-rw-r--r--numpy/lib/tests/test_function_base.py15
1 files changed, 11 insertions, 4 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index df0c4a003..09d1195ad 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -229,8 +229,8 @@ class TestAny:
def test_nd(self):
y1 = [[0, 0, 0], [0, 1, 0], [1, 1, 0]]
assert_(np.any(y1))
- assert_array_equal(np.sometrue(y1, axis=0), [1, 1, 0])
- assert_array_equal(np.sometrue(y1, axis=1), [0, 1, 1])
+ assert_array_equal(np.any(y1, axis=0), [1, 1, 0])
+ assert_array_equal(np.any(y1, axis=1), [0, 1, 1])
class TestAll:
@@ -247,8 +247,8 @@ class TestAll:
def test_nd(self):
y1 = [[0, 0, 1], [0, 1, 1], [1, 1, 1]]
assert_(not np.all(y1))
- assert_array_equal(np.alltrue(y1, axis=0), [0, 0, 1])
- assert_array_equal(np.alltrue(y1, axis=1), [0, 0, 1])
+ assert_array_equal(np.all(y1, axis=0), [0, 0, 1])
+ assert_array_equal(np.all(y1, axis=1), [0, 0, 1])
class TestCopy:
@@ -1217,6 +1217,13 @@ class TestGradient:
dfdx = gradient(f, x)
assert_array_equal(dfdx, [0.5, 0.5])
+ def test_return_type(self):
+ res = np.gradient(([1, 2], [2, 3]))
+ if np._using_numpy2_behavior():
+ assert type(res) is tuple
+ else:
+ assert type(res) is list
+
class TestAngle: