docs: def eigenvector_sensitivity(T, k, j, right=True):
      r"""Sensitivity matrix of a selected eigenvector element.
  
      Parameters
      ----------
      T : (M, M) ndarray
          Transition matrix (stochastic matrix).
      k : int
          Eigenvector index
      j : int
          Element index
      right : bool
          If True compute for right eigenvector, otherwise compute for left eigenvector.
  
      Returns
      -------
      S : (M, M) ndarray
          Sensitivity matrix for the j-th element of the k-th eigenvector.
  
      """
      T = _types.ensure_ndarray_or_sparse(T, ndim=2, uniform=True, kind='numeric')
      if _issparse(T):
          _showSparseConversionWarning()
          eigenvector_sensitivity(T.todense(), k, j, right=right)
      else:
          return dense.sensitivity.eigenvector_sensitivity(T, k, j, right=right)