code: def do_signed_overflow_bounds(self, dtype):
      exponent = 8 * np.dtype(dtype).itemsize - 1
      arr = np.array(
          [-(2**exponent) + 4, 2**exponent - 4], dtype=dtype
      )
      hist, e = histogram(arr, bins=2)
      assert_equal(e, [-(2**exponent) + 4, 0, 2**exponent - 4])
      assert_equal(hist, [1, 1])
  
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 22 for calling the TestHistogram obj's underlying member method code with example usage: obj.do_signed_overflow_bounds(dtype) without return types