diff --git a/api/s33_dma_cal.py b/api/s33_dma_cal.py
index 5f30967..e2d7ae9 100644
--- a/api/s33_dma_cal.py
+++ b/api/s33_dma_cal.py
@@ -1,17 +1,71 @@
 import ctypes
 import os
+import numpy as np
+import pymetis
 from .database import *
 from .s0_base import get_nodes
 from .s32_region_util import get_nodes_in_region
 from .s32_region_util import Topology
-from .s32_region import get_region
 
 
 PARTITION_TYPE_RB = 0
 PARTITION_TYPE_KWAY = 1
 
+'''
+adjacency_list = [np.array([4, 2, 1]),
+                  np.array([0, 2, 3]),
+                  np.array([4, 3, 1, 0]),
+                  np.array([1, 2, 5, 6]),
+                  np.array([0, 2, 5]),
+                  np.array([4, 3, 6]),
+                  np.array([5, 3])]
+n_cuts, membership = pymetis.part_graph(2, adjacency=adjacency_list)
+# n_cuts = 3
+# membership = [1, 1, 1, 0, 1, 0, 0]
+
+nodes_part_0 = np.argwhere(np.array(membership) == 0).ravel() # [3, 5, 6]
+nodes_part_1 = np.argwhere(np.array(membership) == 1).ravel() # [0, 1, 2, 4]
+
+print(nodes_part_0)
+print(nodes_part_1)
+'''
+
 
 def calculate_district_metering_area_for_nodes(name: str, nodes: list[str], part_count: int = 1, part_type: int = PARTITION_TYPE_RB) -> list[list[str]]:
+    topology = Topology(name, nodes)
+    t_nodes = topology.nodes()
+    t_links = topology.links()
+    t_node_list = topology.node_list()
+
+    adjacency_list = []
+
+    for node in t_node_list:
+        links: list[str] = t_nodes[node]['links']
+        a_nodes: list[int] = []
+        for link in links:
+            if t_links[link]['node1'] == node:
+                i = t_node_list.index(t_links[link]['node2'])
+                a_nodes.append(i)
+            elif t_links[link]['node2'] == node:
+                i = t_node_list.index(t_links[link]['node1'])
+                a_nodes.append(i)
+        adjacency_list.append(np.array(a_nodes))
+
+    recursive = part_type == PARTITION_TYPE_RB
+    n_cuts, membership = pymetis.part_graph(nparts=part_count, adjacency=adjacency_list, recursive=recursive, contiguous=True)
+
+    result: list[list[str]] = []
+    for i in range(0, part_count):
+        indices: list[int] = list(np.argwhere(np.array(membership) == i).ravel())
+        index_strs: list[str] = []
+        for index in indices:
+            index_strs.append(t_node_list[index])
+        result.append(index_strs)
+
+    return result
+
+
+def _calculate_district_metering_area_for_nodes(name: str, nodes: list[str], part_count: int = 1, part_type: int = PARTITION_TYPE_RB) -> list[list[str]]:
     if part_type != PARTITION_TYPE_RB and part_type != PARTITION_TYPE_KWAY:
         return []
     if part_count <= 0:
diff --git a/script/tool/PyMetis-2020.1-cp310-cp310-win_amd64.whl b/script/tool/PyMetis-2020.1-cp310-cp310-win_amd64.whl
new file mode 100644
index 0000000..b6f524c
Binary files /dev/null and b/script/tool/PyMetis-2020.1-cp310-cp310-win_amd64.whl differ
diff --git a/script/tool/install.bat b/script/tool/install.bat
index 514e2cc..4940ad9 100644
--- a/script/tool/install.bat
+++ b/script/tool/install.bat
@@ -1,3 +1,5 @@
 pip install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple
 pip install "psycopg[binary]" -i https://pypi.tuna.tsinghua.edu.cn/simple
-pip install pytest -i https://pypi.tuna.tsinghua.edu.cn/simple
\ No newline at end of file
+pip install pytest -i https://pypi.tuna.tsinghua.edu.cn/simple
+pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple
+pip install PyMetis-2020.1-cp310-cp310-win_amd64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple
\ No newline at end of file