return bools from array_function (#264)

pint_pandas/pint_array.py

@@ -350,6 +350,8 @@ 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):
             if hasattr(result, "ndim") and result.ndim >= 2:
                 raise ValueError("PintArrays may only be 1D, check axis arguement")

pint_pandas/testsuite/test_issues.py

@@ -313,7 +313,7 @@ def test_issue246(self):
         df.apply(lambda x: x * 2, axis=1)
 
 
-class TestIssue255(BaseExtensionTests):
+class TestArrayFunction(BaseExtensionTests):
     def test_issue255(self):
         a = np.r_[1, 2, np.nan, 4, 10]
         pa = PintArray.from_1darray_quantity(a * ureg.m)
@@ -324,3 +324,11 @@ def test_issue255(self):
         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