How to use get_partition_list method in autotest

Best Python code snippet using autotest_python

graphClusterSampler.py

Source:graphClusterSampler.py

...28            if os.path.exists(fn):29                self.par_li = np.load(fn, allow_pickle=True)30            else:31                os.makedirs('./datasets/', exist_ok=True)32                self.par_li = get_partition_list(g, psize)33                np.save(fn, self.par_li)34        else:35            self.par_li = get_partition_list(g, psize)36        par_list = []37        total_nodes = 038        for p in self.par_li:39            total_nodes = total_nodes + len(p)40            par = torch.Tensor(p)41            par_list.append(par)42        self.par_list = par_list43        print('Partition number = {} over {} nodes on graph with {} nodes'.format(len(par_list), total_nodes, g.num_nodes()))44    def __len__(self):45        return self.psize46    def __getitem__(self, idx):47        return self.par_li[idx]48def subgraph_collate_fn(g, batch):49    nids = np.concatenate(batch).reshape(-1).astype(np.int64)...

sampler.py

Source:sampler.py

...13            if os.path.exists(fn):14                self.par_li = np.load(fn, allow_pickle=True)15            else:16                os.makedirs('./partitions/', exist_ok=True)17                self.par_li = get_partition_list(g, psize)18                np.save(fn, self.par_li)19        else:20            self.par_li = get_partition_list(g, psize)21        par_list = []22        for p in self.par_li:23            par = torch.Tensor(p)24            par_list.append(par)25        self.par_list = par_list26    def __len__(self):27        return self.psize28    def __getitem__(self, idx):29        return self.par_li[idx]30def subgraph_collate_fn(g, batch):31    nids = np.concatenate(batch).reshape(-1).astype(np.int64)32    g1 = g.subgraph(nids)33    return g134def ClusterIter(dn, g, psize, batch_size, seed_nid=None):...

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