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authorEric Moore <ewm@redtetrahedron.org>2014-10-16 12:01:46 -0400
committerEric Moore <ewm@redtetrahedron.org>2014-10-17 10:50:50 -0400
commit6f88eea024448b913cea881efad405e5d4ece195 (patch)
tree64bf92ced706c8b1e604a8a9e9f5856711e4cd9e /numpy/linalg/tests
parent9b152aaaf3abd0f98b7a88ed66df7518a6a6c85b (diff)
downloadnumpy-6f88eea024448b913cea881efad405e5d4ece195.tar.gz
MAINT: Stop repeatedly running duplicate tests.
These three tests don't make use of the infrastructre in _TestNorm. This means they are identical tests when run as part of TestNorm(Double,Single,Int64). Once is enough.
Diffstat (limited to 'numpy/linalg/tests')
-rw-r--r--numpy/linalg/tests/test_linalg.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/numpy/linalg/tests/test_linalg.py b/numpy/linalg/tests/test_linalg.py
index 169a455ec..34079bb87 100644
--- a/numpy/linalg/tests/test_linalg.py
+++ b/numpy/linalg/tests/test_linalg.py
@@ -951,6 +951,7 @@ class _TestNorm(object):
assert_raises(ValueError, norm, B, None, (2, 3))
assert_raises(ValueError, norm, B, None, (0, 1, 2))
+class TestNorm_NonSystematic(object):
def test_longdouble_norm(self):
# Non-regression test: p-norm of longdouble would previously raise
# UnboundLocalError.