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authorseberg <sebastian@sipsolutions.net>2017-03-26 20:11:46 +0200
committerGitHub <noreply@github.com>2017-03-26 20:11:46 +0200
commit82e0860e2d126aaf2d7ab09b0da13e04b5a32658 (patch)
tree5e2aca771d3e3be3ccb019c30347f98bb5b8310f /numpy/lib/tests
parent1030d64075c34e232fa2c2b7294db79717531507 (diff)
parentd268966200adbe0e2afdd40aa92bb83c5a931e30 (diff)
downloadnumpy-82e0860e2d126aaf2d7ab09b0da13e04b5a32658.tar.gz
Merge pull request #8388 from gfyoung/real-imag-scalar
API: Return scalars for scalar inputs to np.real/imag
Diffstat (limited to 'numpy/lib/tests')
-rw-r--r--numpy/lib/tests/test_type_check.py40
1 files changed, 40 insertions, 0 deletions
diff --git a/numpy/lib/tests/test_type_check.py b/numpy/lib/tests/test_type_check.py
index 473b558be..383ffa55c 100644
--- a/numpy/lib/tests/test_type_check.py
+++ b/numpy/lib/tests/test_type_check.py
@@ -98,10 +98,30 @@ class TestReal(TestCase):
y = np.random.rand(10,)
assert_array_equal(y, np.real(y))
+ y = np.array(1)
+ out = np.real(y)
+ assert_array_equal(y, out)
+ assert_(isinstance(out, np.ndarray))
+
+ y = 1
+ out = np.real(y)
+ assert_equal(y, out)
+ assert_(not isinstance(out, np.ndarray))
+
def test_cmplx(self):
y = np.random.rand(10,)+1j*np.random.rand(10,)
assert_array_equal(y.real, np.real(y))
+ y = np.array(1 + 1j)
+ out = np.real(y)
+ assert_array_equal(y.real, out)
+ assert_(isinstance(out, np.ndarray))
+
+ y = 1 + 1j
+ out = np.real(y)
+ assert_equal(1.0, out)
+ assert_(not isinstance(out, np.ndarray))
+
class TestImag(TestCase):
@@ -109,10 +129,30 @@ class TestImag(TestCase):
y = np.random.rand(10,)
assert_array_equal(0, np.imag(y))
+ y = np.array(1)
+ out = np.imag(y)
+ assert_array_equal(0, out)
+ assert_(isinstance(out, np.ndarray))
+
+ y = 1
+ out = np.imag(y)
+ assert_equal(0, out)
+ assert_(not isinstance(out, np.ndarray))
+
def test_cmplx(self):
y = np.random.rand(10,)+1j*np.random.rand(10,)
assert_array_equal(y.imag, np.imag(y))
+ y = np.array(1 + 1j)
+ out = np.imag(y)
+ assert_array_equal(y.imag, out)
+ assert_(isinstance(out, np.ndarray))
+
+ y = 1 + 1j
+ out = np.imag(y)
+ assert_equal(1.0, out)
+ assert_(not isinstance(out, np.ndarray))
+
class TestIscomplex(TestCase):