diff --git a/python/xorbits/_mars/tensor/statistics/bincount.py b/python/xorbits/_mars/tensor/statistics/bincount.py
index bb25fe03e..fcec8603a 100644
--- a/python/xorbits/_mars/tensor/statistics/bincount.py
+++ b/python/xorbits/_mars/tensor/statistics/bincount.py
@@ -286,8 +286,10 @@ def bincount(x, weights=None, minlength=0, chunk_size_limit=None):
     x = astensor(x)
     weights = astensor(weights) if weights is not None else None
 
-    if not np.issubdtype(x.dtype, np.int_):
-        raise TypeError(f"Cannot cast array data from {x.dtype} to {np.dtype(np.int_)}")
+    if not np.issubdtype(x.dtype, np.int64):
+        raise TypeError(
+            f"Cannot cast array data from {x.dtype} to {np.dtype(np.int64)}"
+        )
     if x.ndim != 1:
         raise ValueError("'x' must be 1 dimension")
     if minlength < 0:
diff --git a/python/xorbits/_mars/utils.py b/python/xorbits/_mars/utils.py
index 7c54ddd3d..91f00ede4 100644
--- a/python/xorbits/_mars/utils.py
+++ b/python/xorbits/_mars/utils.py
@@ -489,13 +489,15 @@ def calc_data_size(dt: Any, shape: Tuple[int] = None) -> int:
         return 0
 
     if isinstance(dt, tuple):
-        return sum(calc_data_size(c) for c in dt)
+        # int() for windows CI, otherwise may return numpy.int32 by `sum`
+        return int(sum(calc_data_size(c) for c in dt))
 
     shape = getattr(dt, "shape", None) or shape
     if isinstance(dt, (pd.DataFrame, pd.Series)):
         return estimate_pandas_size(dt)
     if hasattr(dt, "estimate_size"):
-        return dt.estimate_size()
+        # int() for windows CI, otherwise may return numpy.int32
+        return int(dt.estimate_size()) if dt.estimate_size() is not None else None
     if hasattr(dt, "nbytes"):
         return max(sys.getsizeof(dt), dt.nbytes)
     if hasattr(dt, "shape") and len(dt.shape) == 0: