code: def geom_array_to_array(
      geom_array, index, expand=False, geom_type=None
  ):
      """Converts spatialpandas extension arrays to a flattened array.
  
      Args:
          geom: spatialpandas geometry
          index: The column index to return
  
      Returns:
          Flattened array
      """
      from spatialpandas.geometry import MultiPointArray, PointArray
  
      if isinstance(geom_array, PointArray):
          return geom_array.y if index else geom_array.x
      arrays = []
      multi_point = (
          isinstance(geom_array, MultiPointArray)
          or geom_type == "Point"
      )
      for geom in geom_array:
          array = geom_to_array(
              geom, index, multi=expand, geom_type=geom_type
          )
          if expand:
              arrays.extend(array)
              if not multi_point:
                  arrays.append([np.nan])
          else:
              arrays.append(array)
      if expand:
          if not multi_point:
              arrays = arrays[:-1]
          return np.concatenate(arrays) if arrays else np.array([])
      else:
          array = np.empty(len(arrays), dtype=object)
          array[:] = arrays
          return array
  
imports: import sys
  from collections import defaultdict
  import numpy
  import pandas
  from ..dimension import dimension_name
  from ..util import isscalar, unique_array, unique_iterator
  from .interface import DataError, Interface
  from .multipath import MultiInterface, ensure_ring
  from .pandas import PandasInterface
label_desc: Use image node_id 3 for calling a global function with example usage: geom_array_to_array(geom_array, index, expand, geom_type) and returns: unknown, unknown, array