diff --git a/test/python/test_serialize.py b/test/python/test_serialize.py
index 38734d1..565a160 100644
--- a/test/python/test_serialize.py
+++ b/test/python/test_serialize.py
@@ -21,6 +21,7 @@ ERROR_UNCATCHED = os.environ.get("ERROR_UNCATCHED", "false").lower() == "true"
 SLEEP_TIME = float(os.environ.get("SLEEP", "0"))
 CUESOR_TEST_COUNT = int(os.environ.get("CUESOR_TEST_COUNT", "3"))
 STRICT_MODE = os.environ.get("STRICT_MODE", "false").lower() == "true"
+MULTI_THREAD = os.environ.get("MULTI_THREAD", "true").lower() == "true"
 
 
 def get_key(snake_str):
@@ -64,13 +65,12 @@ def get_kwargs(key, additional):
     return kwargs
 
 
-def match_rate_zero(key):
-    if STRICT_MODE:
-        raise Exception(f"Strict mode: {key}")
+def match_rate_zero(a, b, key, fn):
+    fn(a, b, key)
     return 0
 
 
-def match_rate(a, b, key=""):
+def match_rate(a, b, key="", fn=lambda x: None):
     if isinstance(a, aenum.Enum):
         a = a.value
     if isinstance(b, aenum.Enum):
@@ -79,26 +79,26 @@ def match_rate(a, b, key=""):
         return 1
     if a is False and b is None:
         return 1
-    if isinstance(a, list):
-        data = [match_rate(a[i], b[i], key=f"{key}[{i}]") for i in range(len(a))]
+    if a is None and isinstance(b, list) and len(b) == 0:
+        return 1
+    if isinstance(a, list) and b is None and len(a) == 0:
+        return 1
+    if isinstance(a, dict) and isinstance(b, dict):
         if len(a) == 0 and len(b) == 0:
             return 1
-        if len(a) == 0 or len(b) == 0:
-            return match_rate_zero(key)
-
-        data = [match_rate(a.get(k), b.get(k), key=f"{key}.{k}") for k in a.keys()]
-
-        return sum(data) / len(a)
+        marge_key = set(a.keys()) | set(b.keys())
+        data = [match_rate(a.get(k), b.get(k), [*key, k], fn) for k in marge_key]
+        return sum(data) / len(b)
     if isinstance(a, list) and isinstance(b, list):
         if len(a) == 0 and len(b) == 0:
             return 1
         if len(a) != len(b):
-            return match_rate_zero(key)
-        data = [match_rate(a[i], b[i], key=f"{key}[{i}]") for i in range(len(a))]
+            return match_rate_zero(a, b, key, fn)
+        data = [match_rate(a[i], b[i], [*key, i], fn) for i in range(len(a))]
         return sum(data) / len(a)
     if a == b:
         return 1
-    return match_rate_zero(key)
+    return match_rate_zero(a, b, key, fn)
 
 
 def save_cache(data):
@@ -108,12 +108,44 @@ def save_cache(data):
         json.dump(data, f, indent=4)
 
 
+def super_get(obj: dict, key: str):
+    keys = [
+        key,
+        "".join(["_" + c.lower() if c.isupper() else c for c in key]).lstrip("_"),
+    ]
+
+    for k in keys:
+        if obj.get(k) is not None:
+            return obj[k]
+    raise KeyError(key)
+
+
 def task_callback(file, thread=True):
     try:
         with open(file, "r") as f:
             cache = json.load(f)
         data = pt.__dict__[cache["type"]].from_json(cache["raw"])
-        rate = match_rate(data.to_dict(), json.loads(cache["raw"]))
+
+        def get(obj, key):
+            if isinstance(obj, list):
+                return get(obj[key[0]], key[1:])
+            if obj.__dict__.get("actual_instance") is not None:
+                return get(obj.actual_instance, key)
+            if len(key) == 0:
+                return obj
+            return get(super_get(obj.__dict__, key[0]), key[1:])
+
+        def match_rate_hook(a, b, key):
+            if STRICT_MODE:
+                obj_name = type(get(data, key[:-1]))
+                obj_key = f"{obj_name.__name__}.{key[-1]}"
+                raise Exception(f"Not defined: {obj_key}\nContents: {b}")
+
+        rate = match_rate(
+            data.to_dict(),
+            json.loads(cache["raw"]),
+            fn=match_rate_hook,
+        )
         return rate, file
     except Exception:
         if thread:
@@ -151,10 +183,18 @@ if __name__ == "__main__":
         placeholder = json.load(f)
 
     fail = []
-    with concurrent.futures.ProcessPoolExecutor() as executor:
-        tasks = [executor.submit(task_callback, x) for x in glob.glob("cache/*.json")]
-        for task in concurrent.futures.as_completed(tasks):
-            rate, file = task.result()
+    files = glob.glob("cache/*.json")
+    if MULTI_THREAD:
+        with concurrent.futures.ProcessPoolExecutor() as executor:
+            tasks = [executor.submit(task_callback, x) for x in files]
+            for task in concurrent.futures.as_completed(tasks):
+                rate, file = task.result()
+                if rate < 1:
+                    fail.append(file)
+                logger.info(f"Match rate: {rate}")
+    else:
+        for file in files:
+            rate, file = task_callback(file, thread=False)
             if rate < 1:
                 fail.append(file)
             logger.info(f"Match rate: {rate}")