code: def test_simple(self):
      x = array(
          [
              0.41702200,
              0.72032449,
              1.1437481e-4,
              0.302332573,
              0.146755891,
          ]
      )
      y = array(
          [0.09233859, 0.18626021, 0.34556073, 0.39676747, 0.53881673]
      )
      xedges = np.linspace(0, 1, 10)
      yedges = np.linspace(0, 1, 10)
      H = histogram2d(x, y, (xedges, yedges))[0]
      answer = array(
          [
              [0, 0, 0, 1, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 1, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0],
              [1, 0, 1, 0, 0, 0, 0, 0, 0],
              [0, 1, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0],
          ]
      )
      assert_array_equal(H.T, answer)
      H = histogram2d(x, y, xedges)[0]
      assert_array_equal(H.T, answer)
      H, xedges, yedges = histogram2d(list(range(10)), list(range(10)))
      assert_array_equal(H, eye(10, 10))
      assert_array_equal(xedges, np.linspace(0, 9, 11))
      assert_array_equal(yedges, np.linspace(0, 9, 11))
  
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 1 for calling the TestHistogram2d obj's underlying member method code with example usage: obj.test_simple() without return types