test(parser): update expected results for overflow tests

Author: Alvaro-Kothe

pandas/tests/io/parser/common/test_ints.py

@@ -144,17 +144,22 @@ def test_int64_overflow(all_parsers, conv, request):
         if parser.engine == "pyarrow":
             mark = pytest.mark.xfail(reason="parses to float64")
             request.applymarker(mark)
+        elif parser.engine == "python":
+            mark = pytest.mark.xfail(
+                reason="TODO: Python engine reads bigint as string"
+            )
+            request.applymarker(mark)
 
         result = parser.read_csv(StringIO(data))
         expected = DataFrame(
             [
-                "00013007854817840016671868",
-                "00013007854817840016749251",
-                "00013007854817840016754630",
-                "00013007854817840016781876",
-                "00013007854817840017028824",
-                "00013007854817840017963235",
-                "00013007854817840018860166",
+                13007854817840016671868,
+                13007854817840016749251,
+                13007854817840016754630,
+                13007854817840016781876,
+                13007854817840017028824,
+                13007854817840017963235,
+                13007854817840018860166,
             ],
             columns=["ID"],
         )
@@ -185,7 +190,7 @@ def test_int64_overflow(all_parsers, conv, request):
 )
 def test_int64_uint64_range(all_parsers, val):
     # These numbers fall right inside the int64-uint64
-    # range, so they should be parsed as string.
+    # range, so they should be parsed as integer.
     parser = all_parsers
     result = parser.read_csv(StringIO(str(val)), header=None)
 
@@ -197,13 +202,17 @@ def test_int64_uint64_range(all_parsers, val):
 @pytest.mark.parametrize(
     "val", [np.iinfo(np.uint64).max + 1, np.iinfo(np.int64).min - 1]
 )
-def test_outside_int64_uint64_range(all_parsers, val):
+def test_outside_int64_uint64_range(all_parsers, val, request):
     # These numbers fall just outside the int64-uint64
-    # range, so they should be parsed as string.
+    # range, so they should be parsed as object.
     parser = all_parsers
+    if parser.engine == "python":
+        mark = pytest.mark.xfail(reason="TODO: Python engine reads bigint as string")
+        request.applymarker(mark)
+
     result = parser.read_csv(StringIO(str(val)), header=None)
 
-    expected = DataFrame([str(val)])
+    expected = DataFrame([val])
     tm.assert_frame_equal(result, expected)