return bools from array_function

pint_pandas/pint_array.py

@@ -345,6 +345,8 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
         return self._convert_np_result(result)
 
     def _convert_np_result(self, result):
+        if isinstance(result, bool):
+            return result
         if isinstance(result, _Quantity) and is_list_like(result.m):
             return PintArray.from_1darray_quantity(result)
         elif isinstance(result, _Quantity):

pint_pandas/testsuite/test_issues.py

@@ -311,3 +311,27 @@ def test_issue246(self):
 
         # now an operation where each cell is independent from each other
         df.apply(lambda x: x * 2, axis=1)
+<<<<<<< Updated upstream
+=======
+
+
+class TestArrayFunction(BaseExtensionTests):
+    def test_issue255(self):
+        a = np.r_[1, 2, np.nan, 4, 10]
+        pa = PintArray.from_1darray_quantity(a * ureg.m)
+
+        result = np.clip(pa, 3 * ureg.m, 5 * ureg.m)
+
+        e = np.clip(a, 3, 5)
+        expected = PintArray.from_1darray_quantity(e * ureg.m)
+
+        tm.assert_equal(result, expected)
+
+    def test_issue108(self):
+        pa1 = pa2 = PintArray([1, 45, -4.5], 'm')
+
+        result = np.allclose(pa1, pa2)
+        expected = True
+
+        assert result == expected
+>>>>>>> Stashed changes