code: def read_udtf(infile: IO) -> type:
      """Reads the Python UDTF and checks if its valid or not."""
      # Receive Python UDTF
      handler = read_command(pickleSer, infile)
      if not isinstance(handler, type):
          raise PySparkRuntimeError(
              f"Invalid UDTF handler type. Expected a class (type 'type'), but "
              f"got an instance of {type(handler).__name__}."
          )
  
      if not hasattr(handler, "analyze") or not isinstance(
          inspect.getattr_static(handler, "analyze"), staticmethod
      ):
          raise PySparkRuntimeError(
              "Failed to execute the user defined table function because it has not "
              "implemented the 'analyze' static method or specified a fixed "
              "return type during registration time. "
              "Please add the 'analyze' static method or specify the return type, "
              "and try the query again."
          )
      return handler
  
file_path: spark/python/pyspark/sql/worker/analyze_udtf.py
imports: import inspect
  import os
  import sys
  from textwrap import dedent
  from typing import Dict, List, IO, Tuple
  from pyspark.accumulators import _accumulatorRegistry
  from pyspark.errors import PySparkRuntimeError, PySparkValueError
  from pyspark.java_gateway import local_connect_and_auth
  from pyspark.serializers import read_bool, read_int, write_int, write_with_length, SpecialLengths
  from pyspark.sql.functions import PartitioningColumn
  from pyspark.sql.types import _parse_datatype_json_string, StructType
  from pyspark.sql.udtf import AnalyzeArgument, AnalyzeResult
  from pyspark.util import handle_worker_exception
  from pyspark.worker_util import check_python_version, read_command, pickleSer, send_accumulator_updates, setup_broadcasts, setup_memory_limits, setup_spark_files, utf8_deserializer
label_desc: Use image node_id 1 for calling a global function with example usage: read_udtf(infile) and returns: handler