[Fix] np.float and np.int deprecated usage (#5563)

Co-authored-by: kxm180046 <kxm180046@utdallas.edu>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

tests/python/common/data/test_data.py

@@ -693,12 +693,12 @@ def _test_construct_graphs_multiple():
     num_edges = 1000
     num_graphs = 10
     num_dims = 3
-    node_ids = np.array([], dtype=np.int)
-    src_ids = np.array([], dtype=np.int)
-    dst_ids = np.array([], dtype=np.int)
-    ngraph_ids = np.array([], dtype=np.int)
-    egraph_ids = np.array([], dtype=np.int)
-    u_indices = np.array([], dtype=np.int)
+    node_ids = np.array([], dtype=int)
+    src_ids = np.array([], dtype=int)
+    dst_ids = np.array([], dtype=int)
+    ngraph_ids = np.array([], dtype=int)
+    egraph_ids = np.array([], dtype=int)
+    u_indices = np.array([], dtype=int)
     for i in range(num_graphs):
         l_node_ids = np.random.choice(
             np.arange(num_nodes * 2), size=num_nodes, replace=False
@@ -1579,7 +1579,7 @@ def _test_NodeEdgeGraphData():
 
     # NodeData basics
     num_nodes = 100
-    node_ids = np.arange(num_nodes, dtype=np.float)
+    node_ids = np.arange(num_nodes, dtype=float)
     ndata = NodeData(node_ids, {})
     assert np.array_equal(ndata.id, node_ids)
     assert len(ndata.data) == 0
@@ -1619,8 +1619,8 @@ def _test_NodeEdgeGraphData():
     assert len(edata.data) == 0
     assert np.array_equal(edata.graph_id, np.full(num_edges, 0))
     # EdageData more
-    src_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float)
-    dst_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float)
+    src_ids = np.random.randint(num_nodes, size=num_edges).astype(float)
+    dst_ids = np.random.randint(num_nodes, size=num_edges).astype(float)
     data = {"feat": np.random.rand(num_edges, 3)}
     etype = ("user", "like", "item")
     graph_ids = np.arange(num_edges)
@@ -1653,7 +1653,7 @@ def _test_NodeEdgeGraphData():
     assert np.array_equal(gdata.graph_id, graph_ids)
     assert len(gdata.data) == 0
     # GraphData more
-    graph_ids = np.arange(num_graphs).astype(np.float)
+    graph_ids = np.arange(num_graphs).astype(float)
     data = {"feat": np.random.rand(num_graphs, 3)}
     gdata = GraphData(graph_ids, data)
     assert np.array_equal(gdata.graph_id, graph_ids)