code: def _deduplicate_field_names(dt: DataType) -> DataType:
      if isinstance(dt, StructType):
          dedup_field_names = _dedup_names(dt.names)
  
          return StructType(
              [
                  StructField(
                      dedup_field_names[i],
                      _deduplicate_field_names(field.dataType),
                      nullable=field.nullable,
                  )
                  for i, field in enumerate(dt.fields)
              ]
          )
      elif isinstance(dt, ArrayType):
          return ArrayType(
              _deduplicate_field_names(dt.elementType),
              containsNull=dt.containsNull,
          )
      elif isinstance(dt, MapType):
          return MapType(
              _deduplicate_field_names(dt.keyType),
              _deduplicate_field_names(dt.valueType),
              valueContainsNull=dt.valueContainsNull,
          )
      else:
          return dt
  
imports: import datetime
  import itertools
  from typing import Any, Callable, Iterable, List, Optional, Union, TYPE_CHECKING
  from pyspark.sql.types import cast, BooleanType, ByteType, ShortType, IntegerType, IntegralType, LongType, FloatType, DoubleType, DecimalType, StringType, BinaryType, DateType, TimestampType, TimestampNTZType, DayTimeIntervalType, ArrayType, MapType, StructType, StructField, NullType, DataType, UserDefinedType, _create_row
  from pyspark.errors import PySparkTypeError, UnsupportedOperationException, PySparkValueError
label_desc: Use image node_id 17 for calling a global function with example usage: _deduplicate_field_names(dt) and returns: StructType, ArrayType, MapType, dt