code: def select_mask(cls, dataset, selection):
      mask = np.ones(len(dataset.data), dtype=np.bool_)
      for dim, k in selection.items():
          if isinstance(k, tuple):
              k = slice(*k)
          arr = dataset.data[dim].values
          if isinstance(k, slice):
              with warnings.catch_warnings():
                  warnings.filterwarnings(
                      "ignore", r"invalid value encountered"
                  )
                  if k.start is not None:
                      mask &= k.start <= arr
                  if k.stop is not None:
                      mask &= arr < k.stop
          elif isinstance(k, (set, list)):
              iter_slcs = []
              for ik in k:
                  with warnings.catch_warnings():
                      warnings.filterwarnings(
                          "ignore", r"invalid value encountered"
                      )
                      iter_slcs.append(arr == ik)
              mask &= np.logical_or.reduce(iter_slcs)
          elif callable(k):
              mask &= k(arr)
          else:
              index_mask = arr == k
              if dataset.ndims == 1 and np.sum(index_mask) == 0:
                  data_index = np.argmin(np.abs(arr - k))
                  mask = np.zeros(len(dataset), dtype=np.bool_)
                  mask[data_index] = True
              else:
                  mask &= index_mask
      return mask
  
imports: import sys
  import warnings
  from collections import defaultdict
  import numpy
  import pandas
  from holoviews.core.util import isscalar, unique_iterator, unique_array
  from holoviews.core.data import Dataset, Interface, MultiInterface, PandasAPI
  from holoviews.core.data.interface import DataError
  from holoviews.core.data import PandasInterface
  from holoviews.core.data.spatialpandas import get_value_array
  from holoviews.core.dimension import dimension_name
  from holoviews.element import Path
  from ..util import asarray, geom_to_array, geom_types, geom_length
  from .geom_dict import geom_from_dict
label_desc: Use image node_id 11 for calling the GeoPandasInterface obj's underlying member method code with example usage: obj.select_mask(cls, dataset, selection) and returns: mask