code: def test_copy_index_vector():
      nobs = 5
      k_endog = 3
  
      index = np.zeros((k_endog, nobs))
      index[0, 0] = 1
      index[:2, 1] = 1
      index[0, 2] = 1
      index[2, 2] = 1
      index[1, 3] = 1
      index[2, 4] = 1
  
      A = np.zeros((k_endog, nobs))
      for t in range(nobs):
          for i in range(k_endog):
              if index[i, t]:
                  A[i, t] = 1.0
      B = np.zeros((k_endog, nobs), order="F")
  
      index = np.asfortranarray(index.astype(np.int32))
      tools.copy_index_vector(A, B, index, inplace=True)
      assert_equal(B, A)
  
imports: import pytest
  import numpy
  from numpy.testing import assert_allclose, assert_equal, assert_array_less, assert_array_equal, assert_almost_equal
  import pandas
  from scipy.linalg import solve_discrete_lyapunov
  from statsmodels.tsa.statespace import tools
  from statsmodels.tsa.stattools import acovf
label_desc: Use image node_id 17 for calling a global function with example usage: test_copy_index_vector() without return types