class_docstr: Tests for basics.py
class_docstr_tok: ["Tests","for","basics.py"]
code: def test_set_topology_fail_with_win_create(self):
      bf.init()
      size = bf.size()
      if size <= 1:
          fname = inspect.currentframe().f_code.co_name
          warnings.warn("Skip {} due to size 1".format(fname))
          return
  
      tensor = torch.FloatTensor([1])
      window_name = "win_create_test"
      is_created = bf.win_create(tensor, window_name)
      assert (
          is_created
      ), "bf.win_create do not create window object successfully."
  
      if size == 1:
          expected_topology = nx.from_numpy_array(
              np.array([[0.5]]), create_using=nx.DiGraph
          )
      elif size == 2:
          expected_topology = nx.from_numpy_array(
              np.array([[0, 0.2], [0.2, 0]]), create_using=nx.DiGraph
          )
      else:
          expected_topology = RingGraph(size)
  
      is_set = bf.set_topology(expected_topology)
      assert (
          not is_set
      ), "bf.set_topology do not fail due to win_create."
  
      topology = bf.load_topology()
      assert isinstance(topology, nx.DiGraph)
      assert IsTopologyEquivalent(topology, ExponentialGraph(size))
  
      is_freed = bf.win_free()
      assert (
          is_freed
      ), "bf.win_free do not free window object successfully."
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import inspect
  import os
  import warnings
  import unittest
  import numpy
  import networkx
  import pytest
  import torch
  from common import mpi_env_rank_and_size
  import bluefog.torch
  from bluefog.torch import ExponentialGraph, RingGraph, StarGraph, MeshGrid2DGraph, FullyConnectedGraph
  from bluefog.torch import IsTopologyEquivalent, InferDestinationFromSourceRanks, InferSourceFromDestinationRanks
label_desc: Use image node_id 4 for calling the BasicsTests obj's underlying member method code with example usage: obj.test_set_topology_fail_with_win_create() without return types