code: def qmf(hk):
      """
      Return high-pass qmf filter from low-pass
  
      Parameters
      ----------
      hk : array_like
          Coefficients of high-pass filter.
  
      """
      N = len(hk) - 1
      asgn = [{0: 1, 1: -1}[k % 2] for k in range(N + 1)]
      return hk[::-1] * np.array(asgn)
  
file_path: catboost/contrib/python/scipy/py2/scipy/signal/wavelets.py
imports: from __future__ import division, print_function, absolute_import
  import numpy
  from numpy.dual import eig
  from scipy.special import comb
  from scipy import linspace, pi, exp
  from scipy.signal import convolve
label_desc: Use image node_id 2 for calling a global function with example usage: qmf(hk) and returns: unknown