code: def make_where_udf(arr: List[str]):
      """Return index of item in arr, and len(arr) if not found."""
  
      def find(item: str):
          for i, arr_item in enumerate(arr):
              if arr_item == item:
                  return i
          return len(arr)
  
      return udf(find, LongType())
  
imports: import logging
  from typing import List, Optional, Tuple
  from pyspark.sql.functions import col, crc32, explode, map_keys, udf
  from pyspark.sql.types import ArrayType, BooleanType, FloatType, LongType, MapType, StructField, StructType
  from reagent.data.data_fetcher import DataFetcher
  from reagent.data.spark_utils import get_spark_session, get_table_url
  from reagent.workflow.types import Dataset, TableSpec
label_desc: Use image node_id 8 for calling a global function with example usage: make_where_udf(arr) and returns: udf, len, i