code: def test_rf_min_samples_split_with_small_float(estimator, make_data):
      # Check that min_samples leaf is works with a small float
      # Non-regression test for gh-4613
      X, y = make_data(random_state=0)
      clf = estimator(
          min_samples_split=0.0001, random_state=0, n_estimators=2
      )
  
      # Does not error
      clf.fit(X, y)
  
imports: import treelite
  from sklearn.model_selection import train_test_split
  from sklearn.datasets import fetch_california_housing, make_classification, make_regression, load_iris, load_breast_cancer
  from sklearn.metrics import accuracy_score, mean_squared_error, mean_tweedie_deviance
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.ensemble import RandomForestClassifier
  import cuml.internals.logger
  from cuml.testing.utils import get_handle, unit_param, quality_param, stress_param
  from cuml.metrics import r2_score
  from cuml.ensemble import RandomForestRegressor
  from cuml.ensemble import RandomForestClassifier
  import cuml
  from cuml.internals.safe_imports import gpu_only_import_from
  import os
  import json
  import random
  from cuml.internals.safe_imports import cpu_only_import
  import pytest
  import warnings
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 32 for calling a global function with example usage: test_rf_min_samples_split_with_small_float(estimator, make_data) without return types