code: def _broadcast_column_specifications(*args):
      lengths = {len(a) for a in args if isinstance(a, (list, tuple))}
      if len(lengths) != 1:
          # None of the inputs are lists/tuples, return them as is
          return args
      else:
          n = lengths.pop()
          return tuple(
              (arg,) * n if isinstance(arg, (Number, str)) else arg
              for arg in args
          )
  
imports: from __future__ import annotations
  from numbers import Number
  from math import log10
  import warnings
  import numpy
  import pandas
  import dask.dataframe
  import dask.array
  from xarray import DataArray, Dataset
  from .utils import Dispatcher, ngjit, calc_res, calc_bbox, orient_array, dshape_from_xarray_dataset
  from .utils import get_indices, dshape_from_pandas, dshape_from_dask
  from .utils import Expr
  from .resampling import resample_2d, resample_2d_distributed
  from .None import reductions
label_desc: Use image node_id 5 for calling a global function with example usage: _broadcast_column_specifications() and returns: args, tuple