code: def do_precision_lower_bound(self, float_small, float_large):
      eps = np.finfo(float_large).eps
  
      arr = np.array([1.0], float_small)
      range = np.array([1.0 + eps, 2.0], float_large)
  
      # test is looking for behavior when the bounds change between dtypes
      if range.astype(float_small)[0] != 1:
          return
  
      # previously crashed
      count, x_loc = np.histogram(arr, bins=1, range=range)
      assert_equal(count, [1])
  
      # gh-10322 means that the type comes from arr - this may change
      assert_equal(x_loc.dtype, float_small)
  
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 27 for calling the TestHistogram obj's underlying member method code with example usage: obj.do_precision_lower_bound(float_small, float_large) without return types