code: def test_validate_column_types(self):
      from pyspark.sql.functions import udf, to_json
      from pyspark.sql.column import _to_java_column
  
      self.assertTrue(
          "Column" in _to_java_column("a").getClass().toString()
      )
      self.assertTrue(
          "Column" in _to_java_column("a").getClass().toString()
      )
      self.assertTrue(
          "Column"
          in _to_java_column(self.spark.range(1).id)
          .getClass()
          .toString()
      )
  
      with self.assertRaises(PySparkTypeError) as pe:
          _to_java_column(1)
  
      self.check_error(
          exception=pe.exception,
          error_class="NOT_COLUMN_OR_STR",
          message_parameters={"arg_name": "col", "arg_type": "int"},
      )
  
      class A:
          pass
  
      self.assertRaises(TypeError, lambda: _to_java_column(A()))
      self.assertRaises(TypeError, lambda: _to_java_column([]))
  
      with self.assertRaises(PySparkTypeError) as pe:
          udf(lambda x: x)(None)
  
      self.check_error(
          exception=pe.exception,
          error_class="NOT_COLUMN_OR_STR",
          message_parameters={
              "arg_name": "col",
              "arg_type": "NoneType",
          },
      )
      self.assertRaises(TypeError, lambda: to_json(1))
  
imports: from itertools import chain
  from pyspark.sql import Column, Row
  from pyspark.sql import functions
  from pyspark.sql.types import StructType, StructField, LongType
  from pyspark.errors import AnalysisException, PySparkTypeError, PySparkValueError
  from pyspark.testing.sqlutils import ReusedSQLTestCase
label_desc: Use image node_id 3 for calling the ColumnTestsMixin obj's underlying member method code with example usage: obj.test_validate_column_types() without return types