code: def test_from_spark_delta_path(spark_session, tmp_path, df):
      df_spark = spark_session.createDataFrame(df)
      path = str(tmp_path / "temp.delta")
      df_spark.write.format("delta").save(path)
  
      mlflow_df = mlflow.data.from_spark(df_spark, path=path)
  
      _check_spark_dataset(mlflow_df, df, df_spark, DeltaDatasetSource)
  
imports: import json
  import os
  import pandas
  import pytest
  import mlflow.data
  from mlflow.data.code_dataset_source import CodeDatasetSource
  from mlflow.data.delta_dataset_source import DeltaDatasetSource
  from mlflow.data.spark_dataset import SparkDataset
  from mlflow.data.spark_dataset_source import SparkDatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.models.evaluation.base import EvaluationDataset
  from mlflow.types.schema import Schema
  from mlflow.types.utils import _infer_schema
label_desc: Use image node_id 13 for calling a global function with example usage: test_from_spark_delta_path(spark_session, tmp_path, df) without return types