code: def test_string_bins(self, long_df):
      h = Hist(bins="sqrt")
      bin_kws = h._define_bin_params(long_df, "x", "continuous")
      assert bin_kws["range"] == (
          long_df["x"].min(),
          long_df["x"].max(),
      )
      assert bin_kws["bins"] == int(np.sqrt(len(long_df)))
  
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 3 for calling the TestHist obj's underlying member method code with example usage: obj.test_string_bins(long_df) without return types