Use numpy_array_equal in indexer test

Author: samuelsinayoko

pandas/core/indexes/interval.py

@@ -830,9 +830,6 @@ def get_indexer(self, target, method=None, limit=None, tolerance=None):
                     self._find_non_overlapping_monotonic_bounds()
                 )
             except TypeError:
-                # This is probably wrong
-                # but not sure what I should do here
-                #return np.array([-1])
                 return np.repeat(np.int(-1), len(target))
 
             start_plus_one = start + 1

pandas/tests/indexes/interval/test_interval.py

@@ -621,7 +621,8 @@ def test_get_indexer_length_one(self, item, closed):
         pd.IntervalIndex.from_tuples([(1, 3), (2, 4), (0, 2)])
     ])
     def test_get_indexer_errors(self, index):
-        assert np.all(index.get_indexer(['gg']) == np.array([-1]))
+        expected = np.array([-1], dtype='intp')
+        assert tm.assert_numpy_array_equal(index.get_indexer(['gg']), expected)
 
     # Make consistent with test_interval_new.py (see #16316, #16386)
     @pytest.mark.parametrize('arrays', [