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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 cho_solve(L, b):
 r"""Solve for Cholesky decomposition. Solve the linear equations :math:`\mathrm A \mathbf x = \mathbf b`, given the Cholesky factorization of :math:`\mathrm A`. Args: L (array_like):
 Lower triangular matrix. b (array_like):
 Right-hand side. Returns: :class:`numpy.ndarray`: The solution to the system :math:`\mathrm A \mathbf x = \mathbf b`. See Also -------- numpy.linalg.cholesky : Cholesky decomposition. scipy.linalg.cho_solve : Solve linear equations given Cholesky factorization. """

    from scipy.linalg import cho_solve as sp_cho_solve

    L = asarray(L, float)
    b = asarray(b, float)
    if L.size == 0:
        if b.size != 0:
            raise ValueError("Dimension mismatch between L and b.")
        return empty(b.shape)
    return sp_cho_solve((L, True), b, check_finite=False)