code: def test_mode_full_smoke(num_destins, dtype):
      num_sources = 2 * num_destins
      logits = torch.randn(num_sources, num_destins, dtype=dtype) * 10
      d = dist.OneTwoMatching(logits)
      value = d.mode()
      assert d.support.check(value)
  
imports: import logging
  import math
  import pytest
  import torch
  import pyro.distributions
  from tests.common import assert_close, assert_equal, xfail_if_not_implemented
label_desc: Use image node_id 16 for calling a global function with example usage: test_mode_full_smoke(num_destins, dtype) without return types