code: def rfmaxdepths(rf):
      """
      Return the max depth of all trees in rf forest in terms of how many nodes
      (a single root node for a single tree gives height 1)
      """
      return [dectree_max_depth(t.tree_) for t in rf.estimators_]
  
imports: import pandas
  import numpy
  import matplotlib.pyplot
  import sklearn
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import RandomForestRegressor
  from distutils.version import LooseVersion
  from sklearn.model_selection import cross_val_score
  from sklearn.base import clone
  from sklearn.metrics import r2_score
  from sklearn.metrics import f1_score
  from sklearn.preprocessing import LabelEncoder
  from scipy import stats
  from pandas.api.types import is_numeric_dtype
  from matplotlib.colors import ListedColormap
  from matplotlib.ticker import FormatStrFormatter
  from copy import copy
  import warnings
  import tempfile
  from os import getpid, makedirs
label_desc: Use image node_id 25 for calling a global function with example usage: rfmaxdepths(rf) and returns: unknown