code: def test_big_arrays(self):
      sample = np.zeros([100000000, 3])
      xbins = 400
      ybins = 400
      zbins = np.arange(16000)
      hist = np.histogramdd(sample=sample, bins=(xbins, ybins, zbins))
      assert_equal(type(hist), type((1, 2)))
  
imports: import functools
  from unittest import expectedFailure, skipIf
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, slowTest, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 30 for calling the TestHistogram obj's underlying member method code with example usage: obj.test_big_arrays() without return types