code: def isBinaryFile(df, column):
      """
      Returns True if the column contains binary files
  
      Args:
          df (DataFrame): The DataFrame to be processed
          column (bool): The name of the column being inspected
  
      Returns:
          bool: True if the colum is a binary files column
  
      """
      ctx = SparkContext.getOrCreate()
      schema = (
          ctx._jvm.com.microsoft.azure.synapse.ml.core.schema.BinaryFileSchema
      )
      return schema.isBinaryFile(df._jdf, column)
  
file_path: SynapseML/core/src/main/python/synapse/ml/io/binary/BinaryFileReader.py
imports: import sys
  import pyspark
  from pyspark import SparkContext
  from pyspark import sql
  from pyspark.ml.param.shared import *
  from pyspark.sql import DataFrame
  from pyspark.sql.types import *
label_desc: Use image node_id 3 for calling a global function with example usage: isBinaryFile(df, column) and returns: schema