code: def weights_uniform(nlags):
      """uniform weights for HAC
  
      this will be moved to another module
  
      Parameters
      ----------
      nlags : int
         highest lag in the kernel window, this does not include the zero lag
  
      Returns
      -------
      kernel : ndarray, (nlags+1,)
          weights for uniform kernel
  
      """
  
      # with lag zero
      return np.ones(nlags + 1)
  
imports: import numpy
  from statsmodels.tools.grouputils import combine_indices, group_sums
  from statsmodels.stats.moment_helpers import se_cov
label_desc: Use image node_id 10 for calling a global function with example usage: weights_uniform(nlags) and returns: np