code: def test_all_outliers(self):
      r = (
          np.random.rand(100) + 1.0 + 1e6
      )  # histogramdd rounds by decimal=6
      H, xed, yed = histogram2d(r, r, (4, 5), range=([0, 1], [0, 1]))
      assert_array_equal(H, 0)
  
imports: import functools
  from unittest import expectedFailure, skipIf
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 4 for calling the TestHistogram2d obj's underlying member method code with example usage: obj.test_all_outliers() without return types