remove test

test/test_hgt_sample.py

-# from typing import Dict, List
-
-import torch
-# from torch import Tensor
-import torch_sparse  # noqa
-
-
-def test_hgt_sample():
-    rowptr = torch.tensor([0, 1, 3, 4])
-    # row = torch.tensor([0, 1, 1, 2])
-    col = torch.tensor([1, 0, 2, 1])
-    # _ = SparseTensor(row=row, col=col, sparse_sizes=(6, 6))
-
-    rowptr_dict = {'paper__to__paper': rowptr}
-    col_dict = {'paper__to__paper': col}
-    node_idx_dict = {'paper': torch.arange(rowptr.numel() - 1)}
-    num_neighbors_dict = {'paper__to__paper': [5, 5]}
-    num_hops = 2
-
-    # nid = torch.tensor([0, 1])
-    fn = torch.ops.torch_sparse.hgt_sample
-    # print(fn)
-    # fn(rowptr_dict, col_dict, node_idx_dict, num_neighbors_dict, num_hops)
-
-    fn(rowptr_dict, col_dict, node_idx_dict, num_neighbors_dict, num_hops)
-
-    # out = fn(rowptr, col, nid, 1, 3, False)
-    # rowptr, col, nid, eid, ptr, root_n_id = out
-
-    # assert nid.tolist() == [0, 1, 2, 3, 0, 1, 2]
-    # assert rowptr.tolist() == [0, 3, 5, 7, 8, 10, 12, 14]
-    # #      row             [0, 0, 0, 1, 1, 2, 2, 3, 4, 4, 5, 5, 6, 6]
-    # assert col.tolist() == [1, 2, 3, 0, 2, 0, 1, 0, 5, 6, 4, 6, 4, 5]
-    # assert eid.tolist() == [0, 1, 2, 3, 4, 5, 6, 9, 0, 1, 3, 4, 5, 6]
-    # assert ptr.tolist() == [0, 4, 7]
-    # assert root_n_id.tolist() == [0, 5]
-
-
-# import timeit
-# print('Timeit', timeit.timeit(test_hgt_sample))