code: def np_scatter(idx, vals, target):
      """target[idx] += vals, but allowing for repeats in idx"""
      np.add.at(target, idx, vals)
  
imports: import math
  import torch
  import paddle
  import pgl
  import numpy
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.contrib.ogb.nodeproppred.dataset_pgl import PglNodePropPredDataset
  import time
  import copy
  from ogb.nodeproppred import Evaluator
  from utils import to_undirected, add_self_loop, linear_warmup_decay
  from model import Proteins_baseline_model, Proteins_label_embedding_model
  from partition import random_partition_v2
  import argparse
  from tqdm import tqdm
label_desc: Use image node_id 5 for calling a global function with example usage: np_scatter(idx, vals, target) without return types