Adjust more tests

Author: mroeschke

pandas/tests/frame/test_stack_unstack.py

@@ -1418,7 +1418,7 @@ def test_stack_timezone_aware_values(future_stack):
 @pytest.mark.parametrize("dropna", [True, False, lib.no_default])
 def test_stack_empty_frame(dropna, future_stack):
     # GH 36113
-    levels = [np.array([], dtype=np.int64), np.array([], dtype=np.int64)]
+    levels = [pd.RangeIndex(0), pd.RangeIndex(0)]
     expected = Series(dtype=np.float64, index=MultiIndex(levels=levels, codes=[[], []]))
     if future_stack and dropna is not lib.no_default:
         with pytest.raises(ValueError, match="dropna must be unspecified"):

pandas/tests/indexes/test_common.py

@@ -223,7 +223,9 @@ def test_unique(self, index_flat):
             pass
 
         result = idx.unique()
-        tm.assert_index_equal(result, idx_unique)
+        tm.assert_index_equal(
+            result, idx_unique, exact=not isinstance(index, RangeIndex)
+        )
 
         # nans:
         if not index._can_hold_na:

pandas/tests/indexes/test_old_base.py

@@ -809,8 +809,9 @@ def test_append_preserves_dtype(self, simple_index):
 
         result = index.append(index)
         assert result.dtype == index.dtype
-        tm.assert_index_equal(result[:N], index, check_exact=True)
-        tm.assert_index_equal(result[N:], index, check_exact=True)
+
+        tm.assert_index_equal(result[:N], index, exact=False, check_exact=True)
+        tm.assert_index_equal(result[N:], index, exact=False, check_exact=True)
 
         alt = index.take(list(range(N)) * 2)
         tm.assert_index_equal(result, alt, check_exact=True)