code: def test_hist():
      df = h2o.upload_file(
          pyunit_utils.locate("smalldata/iris/iris.csv")
      )
  
      with TemporaryDirectory() as tmpdir:
          path1 = "{}/plot1.png".format(tmpdir)
          path2 = "{}/plot2.png".format(tmpdir)
          test_plot_result_saving(
              df[0].hist(breaks=5, plot=True),
              path2,
              df[0].hist(breaks=5, plot=True, save_plot_path=path1),
              path1,
          )
  
      h = df[0].hist(breaks=5, plot=True)
      assert h.nrow == 5
  
      h = df[0].hist(breaks=[0, 0.5, 2, 3], plot=True)
      assert h.nrow == 4
  
imports: import sys
  import matplotlib
  from h2o.automl import H2OAutoML
  from h2o.estimators import H2OGradientBoostingEstimator
  from h2o.exceptions import H2OError
  from h2o.transforms import H2OPCA
  import h2o
  from tests import pyunit_utils, test_plot_result_saving, TemporaryDirectory
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator, H2OGeneralizedLinearEstimator
  from h2o.plot import decorate_plot_result, RAISE_ON_FIGURE_ACCESS
label_desc: Use image node_id 10 for calling a global function with example usage: test_hist() without return types