code: def test_discrete_bins(self, long_df):
      h = Hist(discrete=True)
      x = long_df["x"].astype(int)
      bin_kws = h._define_bin_params(
          long_df.assign(x=x), "x", "continuous"
      )
      assert bin_kws["range"] == (x.min() - 0.5, x.max() + 0.5)
      assert bin_kws["bins"] == (x.max() - x.min() + 1)
  
imports: import numpy
  import pandas
  import pytest
  from numpy.testing import assert_array_equal
  from seaborn._core.groupby import GroupBy
  from seaborn._stats.counting import Hist, Count
label_desc: Use image node_id 8 for calling the TestHist obj's underlying member method code with example usage: obj.test_discrete_bins(long_df) without return types