code: def setup(self, n, format, normed):
      data = scipy.sparse.rand(
          9, n, density=0.5, random_state=42
      ).toarray()
      data = np.vstack((data, data))
      diags = list(range(-9, 0)) + list(range(1, 10))
      A = scipy.sparse.spdiags(data, diags, n, n)
      if format == "dense":
          self.A = A.toarray()
      else:
          self.A = A.asformat(format)
  
imports: import numpy
  import scipy.sparse
  from .common import Benchmark, safe_import
label_desc: Use image node_id 1 for calling the Laplacian obj's underlying member method code with example usage: obj.setup(n, format, normed) without return types