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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def stationary_distribution_sensitivity(T, j):
 r"""Sensitivity matrix of a stationary distribution element. Parameters T : (M, M) ndarray Transition matrix (stochastic matrix). j : int Index of stationary distribution element for which sensitivity matrix is computed. Returns ------- S : (M, M) ndarray Sensitivity matrix for the specified element of the stationary distribution. """

    T = _types.ensure_ndarray_or_sparse(T, ndim=2, uniform=True, kind='numeric')
    if _issparse(T):
        _showSparseConversionWarning()
        stationary_distribution_sensitivity(T.todense(), j)
    else:
        return dense.sensitivity.stationary_distribution_sensitivity(T, j)