code: def test_isin_big_data():
      elements = torch.randint(0, 10000, (10000000,), device=F.ctx())
      test_elements = torch.randint(0, 10000, (500000,), device=F.ctx())
      res = gb.isin(elements, test_elements)
      expected = torch.isin(elements, test_elements)
      assert torch.equal(res, expected)
  
file_path: dgl/tests/python/pytorch/graphbolt/test_base.py
imports: import re
  import unittest
  from collections.abc import Iterable, Mapping
  import backend
  import dgl.graphbolt
  import pytest
  import torch
  from .None import gb_test_utils
label_desc: Use image node_id 6 for calling a global function with example usage: test_isin_big_data() without return types