code: def REPR_TO_DTYPE(self) -> dict[str, PolarsDataType]:
      def _dtype_str_repr_safe(o: Any) -> PolarsDataType | None:
          try:
              return _dtype_str_repr(o.base_type()).split("[")[0]
          except TypeError:
              return None
  
      return {
          _dtype_str_repr_safe(obj): obj  # type: ignore[misc]
          for obj in globals().values()
          if is_polars_dtype(obj)
          and _dtype_str_repr_safe(obj) is not None
      }
  
imports: from __future__ import annotations
  import contextlib
  import ctypes
  import functools
  import re
  import sys
  from datetime import date, datetime, time, timedelta
  from decimal import Decimal
  from typing import TYPE_CHECKING, Any, Collection, ForwardRef, Optional, Union, get_args, overload
  from polars.datatypes import Array, Binary, Boolean, Categorical, DataType, DataTypeClass, Date, Datetime, Decimal, Duration, Field, Float32, Float64, Int8, Int16, Int32, Int64, List, Null, Object, String, Struct, Time, UInt8, UInt16, UInt32, UInt64, Unknown
  from polars.dependencies import numpy
  from polars.dependencies import pyarrow
label_desc: Use image node_id 6 for calling the _DataTypeMappings obj's underlying member method code with example usage: obj.REPR_TO_DTYPE() and returns: unknown, _dtype_str_repr, None