code: def decons_group_index(comp_labels, shape):
      # reconstruct labels
      if is_int64_overflow_possible(shape):
          # at some point group indices are factorized,
          # and may not be deconstructed here! wrong path!
          raise ValueError(
              "cannot deconstruct factorized group indices!"
          )
  
      label_list = []
      factor = 1
      y = 0
      x = comp_labels
      for i in reversed(range(len(shape))):
          labels = (x - y) % (factor * shape[i]) // factor
          np.putmask(labels, comp_labels < 0, -1)
          label_list.append(labels)
          y = labels * factor
          factor *= shape[i]
      return label_list[::-1]
  
imports: import warnings
  import numpy
  from pandas._libs import algos, hashtable, lib
  from pandas._libs.hashtable import unique_label_indices
  from pandas.compat import PY3, long, string_types
  from pandas.core.dtypes.cast import infer_dtype_from_array
  from pandas.core.dtypes.common import ensure_int64, ensure_platform_int, is_categorical_dtype, is_list_like
  from pandas.core.dtypes.missing import isna
  import pandas.core.algorithms
label_desc: Use image node_id 4 for calling a global function with example usage: decons_group_index(comp_labels, shape) and returns: label_list