code: def _single_delta_mask(
      dind, masked_inputs, last_mask, data, x, noop_code
  ):
      if dind == noop_code:
          pass
      elif last_mask[dind]:
          masked_inputs[:, dind] = data[:, dind]
          last_mask[dind] = False
      else:
          masked_inputs[:, dind] = x[dind]
          last_mask[dind] = True
  
imports: import logging
  import numpy
  import pandas
  from numba import njit
  from ..None import utils
  from .._serializable import Deserializer, Serializer
  from ..utils import MaskedModel
  from ..utils._exceptions import DimensionError, InvalidClusteringError
  from ._masker import Masker
label_desc: Use image node_id 1 for calling a global function with example usage: _single_delta_mask(dind, masked_inputs, last_mask, data, x, noop_code) without return types