code: def test_predict(spark_dtree, dataset_spark_tensorflow):
      leaf_pred_0 = spark_dtree.predict(
          dataset_spark_tensorflow.iloc[0]
      )
      assert leaf_pred_0 == 0
  
      leaf_pred_10 = spark_dtree.predict(
          dataset_spark_tensorflow.iloc[10]
      )
      assert leaf_pred_10 == 0
  
      leaf_pred_109 = spark_dtree.predict(
          dataset_spark_tensorflow.iloc[109]
      )
      assert leaf_pred_109 == 1
  
      leaf_pred_119 = spark_dtree.predict(
          dataset_spark_tensorflow.iloc[119]
      )
      assert leaf_pred_119 == 0
  
imports: import numpy
  import pyspark
  import pytest
  from pyspark.ml.classification import DecisionTreeClassificationModel
  from pyspark.sql import SparkSession
  from dtreeviz.models.spark_decision_tree import ShadowSparkTree
label_desc: Use image node_id 17 for calling a global function with example usage: test_predict(spark_dtree, dataset_spark_tensorflow) without return types