testing/py-numpy: remove unused patches

1 files changed, 0 insertions, 73 deletions

diff --git a/testing/py-numpy/numpy-1.10.1-backport-2.patch b/testing/py-numpy/numpy-1.10.1-backport-2.patch
deleted file mode 100644
index 9c33704f8e..0000000000
--- a/testing/py-numpy/numpy-1.10.1-backport-2.patch
+++ /dev/null
@@ -1,73 +0,0 @@
-From 0d25dc4175e00cdaf9545e8b1b1a5b879cf67248 Mon Sep 17 00:00:00 2001
-From: Ethan Kruse <eakruse@uw.edu>
-Date: Mon, 19 Oct 2015 13:29:01 -0700
-Subject: [PATCH 1/2] Potential fix for #6462
-
----
- numpy/lib/function_base.py | 2 +-
- 1 file changed, 1 insertion(+), 1 deletion(-)
-
-diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
-index 555d083..fef69df 100644
---- a/numpy/lib/function_base.py
-+++ b/numpy/lib/function_base.py
-@@ -3339,7 +3339,7 @@ def _median(a, axis=None, out=None, overwrite_input=False):
-         indexer[axis] = slice(index-1, index+1)
- 
-     # Check if the array contains any nan's
--    if np.issubdtype(a.dtype, np.inexact):
-+    if np.issubdtype(a.dtype, np.inexact) and sz > 0:
-         # warn and return nans like mean would
-         rout = mean(part[indexer], axis=axis, out=out)
-         part = np.rollaxis(part, axis, part.ndim)
-
-From 59d859fb2160950ac93267d7461ad952145c8724 Mon Sep 17 00:00:00 2001
-From: Ethan Kruse <eakruse@uw.edu>
-Date: Tue, 20 Oct 2015 11:40:49 -0700
-Subject: [PATCH 2/2] Added tests for median of empty arrays
-
----
- numpy/lib/tests/test_function_base.py | 30 ++++++++++++++++++++++++++++++
- 1 file changed, 30 insertions(+)
-
-diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
-index 4516c92..aa41c1f 100644
---- a/numpy/lib/tests/test_function_base.py
-+++ b/numpy/lib/tests/test_function_base.py
-@@ -2597,6 +2597,36 @@ def test_nan_behavior(self):
-             assert_equal(np.median(a, (0, 2)), b)
-             assert_equal(len(w), 1)
- 
-+    def test_empty(self):
-+        # empty arrays
-+        a = np.array([], dtype=float)
-+        with warnings.catch_warnings(record=True) as w:
-+            warnings.filterwarnings('always', '', RuntimeWarning)
-+            assert_equal(np.median(a), np.nan)
-+            assert_(w[0].category is RuntimeWarning)
-+
-+        # multiple dimensions
-+        a = np.array([], dtype=float, ndmin=3)
-+        # no axis
-+        with warnings.catch_warnings(record=True) as w:
-+            warnings.filterwarnings('always', '', RuntimeWarning)
-+            assert_equal(np.median(a), np.nan)
-+            assert_(w[0].category is RuntimeWarning)
-+
-+        # axis 0 and 1
-+        b = np.array([], dtype=float, ndmin=2)
-+        with warnings.catch_warnings(record=True) as w:
-+            warnings.filterwarnings('always', '', RuntimeWarning)
-+            assert_equal(np.median(a, axis=0), b)
-+            assert_equal(np.median(a, axis=1), b)
-+
-+        # axis 2
-+        b = np.array(np.nan, dtype=float, ndmin=2)
-+        with warnings.catch_warnings(record=True) as w:
-+            warnings.filterwarnings('always', '', RuntimeWarning)
-+            assert_equal(np.median(a, axis=2), b)
-+            assert_(w[0].category is RuntimeWarning)
-+
-     def test_object(self):
-         o = np.arange(7.)
-         assert_(type(np.median(o.astype(object))), float)