code: def test_large_integers(self):
      big = (
          2**60
      )  # Too large to represent with a full precision float
  
      x = np.array([0], np.int64)
      x_edges = np.array([-1, +1], np.int64)
      y = big + x
      y_edges = big + x_edges
  
      hist, edges = histogramdd((x, y), bins=(x_edges, y_edges))
  
      assert_equal(hist[0, 0], 1)
  
imports: import numpy
  from numpy.lib.histograms import histogram, histogramdd, histogram_bin_edges
  from numpy.testing import assert_, assert_equal, assert_array_equal, assert_almost_equal, assert_array_almost_equal, assert_raises, assert_allclose, assert_array_max_ulp, assert_raises_regex, suppress_warnings
  from numpy.testing._private.utils import requires_memory
  import pytest
label_desc: Use image node_id 13 for calling the TestHistogramdd obj's underlying member method code with example usage: obj.test_large_integers() without return types