numpy · juliantaylor · Mar 1, 2015 · Feb 19, 2015 · Dec 21, 2014 · Feb 28, 2015
diff --git a/doc/release/1.9.2-notes.rst b/doc/release/1.9.2-notes.rst
@@ -6,17 +6,20 @@ This is a bugfix only release in the 1.9.x series.
 Issues fixed
 ============
 
-* `#5316 <https://github.com/scipy/scipy/issues/5316>`__: fix too large dtype alignment of strings and complex types
-* `#5424 <https://github.com/scipy/scipy/issues/5424>`__: fix ma.median when used on ndarrays
-* `#5481 <https://github.com/scipy/scipy/issues/5481>`__: Fix astype for structured array fields of different byte order
 * `#5155 <https://github.com/scipy/scipy/issues/5155>`__: Fix loadtxt with comments=None and a string None data
-* `#4476 <https://github.com/scipy/scipy/issues/4476>`__: Masked array view fails if structured dtype has datetime component
-* `#5388 <https://github.com/scipy/scipy/issues/5388>`__: Make RandomState.set_state and RandomState.get_state threadsafe
-* `#5390 <https://github.com/scipy/scipy/issues/5390>`__: make seed, randint and shuffle threadsafe
-* `#5374 <https://github.com/scipy/scipy/issues/5374>`__: Fixed incorrect assert_array_almost_equal_nulp documentation
-* `#5393 <https://github.com/scipy/scipy/issues/5393>`__: Add support for ATLAS > 3.9.33.
-* `#5313 <https://github.com/scipy/scipy/issues/5313>`__: PyArray_AsCArray caused segfault for 3d arrays
-* `#5492 <https://github.com/scipy/scipy/issues/5492>`__: handle out of memory in rfftf
-* `#4181 <https://github.com/scipy/scipy/issues/4181>`__: fix a few bugs in the random.pareto docstring
-* `#5359 <https://github.com/scipy/scipy/issues/5359>`__: minor changes to linspace docstring
-* `#4723 <https://github.com/scipy/scipy/issues/4723>`__: fix a compile issues on AIX
+* `#5316 <https://github.com/numpy/numpy/issues/5316>`__: fix too large dtype alignment of strings and complex types
+* `#5424 <https://github.com/numpy/numpy/issues/5424>`__: fix ma.median when used on ndarrays
+* `#5481 <https://github.com/numpy/numpy/issues/5481>`__: Fix astype for structured array fields of different byte order
+* `#5354 <https://github.com/numpy/numpy/issues/5354>`__: fix segfault when clipping complex arrays
+* `#5524 <https://github.com/numpy/numpy/issues/5524>`__: allow np.argpartition on non ndarrays
+* `#5612 <https://github.com/numpy/numpy/issues/5612>`__: Fixes ndarray.fill to accept full range of uint64
+* `#5155 <https://github.com/numpy/numpy/issues/5155>`__: Fix loadtxt with comments=None and a string None data
+* `#4476 <https://github.com/numpy/numpy/issues/4476>`__: Masked array view fails if structured dtype has datetime component
+* `#5388 <https://github.com/numpy/numpy/issues/5388>`__: Make RandomState.set_state and RandomState.get_state threadsafe
+* `#5390 <https://github.com/numpy/numpy/issues/5390>`__: make seed, randint and shuffle threadsafe
+* `#5374 <https://github.com/numpy/numpy/issues/5374>`__: Fixed incorrect assert_array_almost_equal_nulp documentation
+* `#5393 <https://github.com/numpy/numpy/issues/5393>`__: Add support for ATLAS > 3.9.33.
+* `#5313 <https://github.com/numpy/numpy/issues/5313>`__: PyArray_AsCArray caused segfault for 3d arrays
+* `#5492 <https://github.com/numpy/numpy/issues/5492>`__: handle out of memory in rfftf
+* `#4181 <https://github.com/numpy/numpy/issues/4181>`__: fix a few bugs in the random.pareto docstring
+* `#5359 <https://github.com/numpy/numpy/issues/5359>`__: minor changes to linspace docstring
+* `#4723 <https://github.com/numpy/numpy/issues/4723>`__: fix a compile issues on AIX
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py
@@ -679,8 +679,16 @@ def argpartition(a, kth, axis=-1, kind='introselect', order=None):
     >>> x[np.argpartition(x, (1, 3))]
     array([1, 2, 3, 4])
 
+    >>> x = [3, 4, 2, 1]
+    >>> np.array(x)[np.argpartition(x, 3)]
+    array([2, 1, 3, 4])
+
     """
-    return a.argpartition(kth, axis, kind=kind, order=order)
+    try:
+        argpartition = a.argpartition
+    except AttributeError:
+        return _wrapit(a, 'argpartition',kth, axis, kind, order)
+    return argpartition(kth, axis, kind=kind, order=order)
 
 
 def sort(a, axis=-1, kind='quicksort', order=None):

diff --git a/numpy/core/src/multiarray/arraytypes.c.src b/numpy/core/src/multiarray/arraytypes.c.src
@@ -3467,8 +3467,6 @@ static void
     npy_intp i;
     @type@ max_val, min_val;
 
-    min_val = *min;
-    max_val = *max;
     if (max != NULL) {
         max_val = *max;
     }

diff --git a/numpy/core/tests/test_multiarray.py b/numpy/core/tests/test_multiarray.py
@@ -1702,6 +1702,12 @@ def test_partition_fuzz(self):
                assert_array_equal(np.partition(d, kth)[kth], tgt,
                                   err_msg="data: %r\n kth: %r" % (d, kth))
 
+    def test_argpartition_gh5524(self):
+        #  A test for functionality of argpartition on lists.
+        d = [6,7,3,2,9,0]
+        p = np.argpartition(d,1)
+        self.assert_partitioned(np.array(d)[p],[1])
+
     def test_flatten(self):
         x0 = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
         x1 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], np.int32)

diff --git a/numpy/core/tests/test_numeric.py b/numpy/core/tests/test_numeric.py
@@ -1176,6 +1176,18 @@ def test_simple_complex(self):
         act = self.clip(a, m, M)
         assert_array_strict_equal(ac, act)
 
+    def test_clip_complex(self):
+        # Address Issue gh-5354 for clipping complex arrays
+        # Test native complex input without explicit min/max
+        # ie, either min=None or max=None
+        a = np.ones(10, dtype=np.complex)
+        m = a.min()
+        M = a.max()
+        am = self.fastclip(a, m, None)
+        aM = self.fastclip(a, None, M)
+        assert_array_strict_equal(am, a)
+        assert_array_strict_equal(aM, a)
+
     def test_clip_non_contig(self):
         #Test clip for non contiguous native input and native scalar min/max.
         a   = self._generate_data(self.nr * 2, self.nc * 3)