code: def ravel_compat(meth: F) -> F:
      """
      Decorator to ravel a 2D array before passing it to a cython operation,
      then reshape the result to our own shape.
      """
  
      @wraps(meth)
      def method(self, *args, **kwargs):
          if self.ndim == 1:
              return meth(self, *args, **kwargs)
  
          flags = self._ndarray.flags
          flat = self.ravel("K")
          result = meth(flat, *args, **kwargs)
          order = "F" if flags.f_contiguous else "C"
          return result.reshape(self.shape, order=order)
  
      return cast(F, method)
  
imports: from __future__ import annotations
  from functools import wraps
  from typing import TYPE_CHECKING, Any, Literal, Sequence, TypeVar, cast, overload
  import numpy
  from pandas._libs import lib
  from pandas._libs.arrays import NDArrayBacked
  from pandas._typing import ArrayLike, AxisInt, Dtype, F, PositionalIndexer2D, PositionalIndexerTuple, ScalarIndexer, SequenceIndexer, Shape, TakeIndexer, npt, type_t
  from pandas.errors import AbstractMethodError
  from pandas.util._decorators import doc
  from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs, validate_insert_loc
  from pandas.core.dtypes.common import is_dtype_equal, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, ExtensionDtype, PeriodDtype
  from pandas.core.dtypes.missing import array_equivalent
  from pandas.core import missing
  from pandas.core.algorithms import take, unique, value_counts
  from pandas.core.array_algos.quantile import quantile_with_mask
  from pandas.core.array_algos.transforms import shift
  from pandas.core.arrays.base import ExtensionArray
  from pandas.core.construction import extract_array
  from pandas.core.indexers import check_array_indexer
  from pandas.core.sorting import nargminmax
label_desc: Use image node_id 1 for calling a global function with example usage: ravel_compat(meth) and returns: cast, result, meth