code: def bicolor_spectral(self):
      '''Returns an approximate 2-coloring as an array of booleans.
  
      From "A Multiscale Pyramid Transform for Graph Signals" by Shuman et al.
      Note: Assumes a single connected component, and may fail otherwise.
      '''
      lap = self.laplacian().astype(float)
      vals, vecs = eigs(lap, k=1, which='LM')
      vec = vecs[:,0].real
      return vec > 0 if vec[0] > 0 else vec < f bicolor_spectral(self):
      '''Returns an approximate 2-coloring as an array of booleans.
  
      From "A Multiscale Pyramid Transform for Graph Signals" by Shuman et al.
      Note: Assumes a single connected component, and may fail otherwise.
      '''
      lap = self.laplacian().astype(float)
      vals, vecs = eigs(lap, k=1, which='LM')
      vec = vecs[:,0].real
      return vec > 0 if vec[0] > 0 else vec < 0
docs: Returns an approximate 2-coloring as an array of booleans.
  
      From "A Multiscale Pyramid Transform for Graph Signals" by Shuman et al.
      Note: Assumes a single connected component, and may fail otherwise.