code: def copy_missing_columns(df, ref_df):
      """
      Copy missing columns from ref_df to df
  
      If df and ref_df are the same length, the columns are
      copied in the entirety. If the length ofref_df is a
      divisor of the length of df, then the values of the
      columns from ref_df are repeated.
  
      Otherwise if not the same length, df gets a column
      where all elements are the same as the first element
      in ref_df
  
      Parameters
      ----------
      df : dataframe
          Dataframe to which columns will be added
      ref_df : dataframe
          Dataframe from which columns will be copied
      """
      cols = ref_df.columns.difference(df.columns)
      _loc = ref_df.columns.get_loc
  
      l1, l2 = len(df), len(ref_df)
      if l1 >= l2 and l1 % l2 == 0:
          idx = np.tile(range(l2), l1 // l2)
      else:
          idx = np.repeat(0, l1)
  
      for col in cols:
          df[col] = ref_df.iloc[idx, _loc(col)].to_numpy()
  
imports: from __future__ import annotations
  import inspect
  import itertools
  import warnings
  from collections import defaultdict
  from collections.abc import Iterable, Sequence
  from contextlib import suppress
  from typing import TYPE_CHECKING, cast, overload
  from warnings import warn
  import numpy
  import pandas
  from pandas.core.groupby import DataFrameGroupBy
  from ..exceptions import PlotnineError, PlotnineWarning
  from ..mapping import aes
label_desc: Use image node_id 25 for calling a global function with example usage: copy_missing_columns(df, ref_df) without return types