code: def ElasticRod(n):
      # Fixed-free elastic rod
      L = 1.0
      le = L / n
      rho = 7.85e3
      S = 1.0e-4
      E = 2.1e11
      mass = rho * S * le / 6.0
      k = E * S / le
      A = k * (
          diag(r_[2.0 * ones(n - 1), 1])
          - diag(ones(n - 1), 1)
          - diag(ones(n - 1), -1)
      )
      B = mass * (
          diag(r_[4.0 * ones(n - 1), 2])
          + diag(ones(n - 1), 1)
          + diag(ones(n - 1), -1)
      )
      return A, B
  
imports: from __future__ import division, print_function, absolute_import
  import itertools
  import numpy
  from numpy.testing import assert_almost_equal, assert_equal, assert_allclose, assert_array_less
  from scipy import ones, rand, r_, diag, linalg, eye
  from scipy.linalg import eig, eigh, toeplitz
  import scipy.sparse
  from scipy.sparse.linalg.eigen.lobpcg import lobpcg
  from scipy.sparse.linalg import eigs
  from scipy.sparse import spdiags
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: ElasticRod(n) and returns: A,  B