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Complete this python program:
def classify_sysode(eq, funcs=None, **kwargs):
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#Here is the Python code you requested.

    """Returns a dictionary of parameter names and values that define the system
    of ordinary differential equations in ``eq``.
    The parameters are further used in
    :py:meth:`~sympy.solvers.ode.dsolve` for solving that system.
    The parameter names and values are:
    \is_linear\ (boolean), which tells whether the given system is linear.
    Note that "linear" here refers to the operator: terms such as ``x*diff(x,t)`` are
    nonlinear, whereas terms like ``sin(t)*diff(x,t)`` are still linear operators.
    \func\ (list) contains the :py:class:`~sympy.core.function.Function`s that
    appear with a derivative in the ODE, i.e. those that we are trying to solve
    the ODE for.
    \order\ (dict) with the maximum derivative for each element of the \func\
    parameter.
    \func_coeff\ (dict) with the coefficient for each triple ``(equation number,
    function, order)```. The coefficients are those subexpressions that do not
    appear in \func\, and hence can be considered constant for purposes of ODE
    solving.
    \eq\ (list) with the equations from ``eq``, sympified and transformed into
    expressions (we are solving for these expressions to be zero).
    \no_of_equations\ (int) is the number of equations (same as ``len(eq)``).
    \type_of_equation\ (string) is an internal classification of the type of
    ODE.
    References
    -http://eqworld.ipmnet.ru/en/solutions/sysode/sode-toc1.htm
    -A. D. Polyanin and A. V. Manzhirov, Handbook of Mathematics for Engineers and Scientists
    Examples
    >>> from sympy import Function, Eq, symbols, diff
    >>> from sympy.solvers.ode import classify_sysode
    >>> from sympy.abc import t
    >>> f, x, y = symbols(\f, x, y\, function=True)
    >>> k, l, m, n = symbols(\k, l, m, n\, Integer=True)
    >>> x1 = diff(x(t), t) ; y1 = diff(y(t), t)
    >>> x2 = diff(x(t), t, t) ; y2 = diff(y(t), t, t)
    >>> eq = (Eq(5*x1, 12*x(t) - 6*y(t)), Eq(2*y1, 11*x(t) + 3*y(t)))
    >>> classify_sysode(eq)
    {\eq\: [-12*x(t) + 6*y(t) + 5*Derivative(x(t), t), -11*x(t) -..."""
    def _sympify(eq):
        return list(map(sympify, (eq if iterable(eq) else [eq])))
    (eq, funcs) = (_sympify(w) for w in [eq, funcs])
    for (i, fi) in enumerate(eq):
        if isinstance(fi, Equality):
            eq[i] = (fi.lhs - fi.rhs)
    matching_hints = {'no_of_equation': (i + 1)}
    matching_hints['eq'] = eq
    if (i == 0):
        raise ValueError('classify_sysode()    works    for    systems    of    ODEs.    For    scalar    ODEs,    classify_ode    should    be    used')
    t = list(list(eq[0].atoms(Derivative))[0].atoms(Symbol))[0]
    order = dict()
    if (funcs == [None]):
        funcs = []
        for eqs in eq:
            derivs = eqs.atoms(Derivative)
            func = set().union(*[d.atoms(AppliedUndef) for d in derivs])
            for func_ in func:
                funcs.append(func_)
    funcs = list(set(funcs))
    if (len(funcs) < len(eq)):
        raise ValueError(('Number    of    functions    given    is    less    than    number    of    equations    %s' % funcs))
    func_dict = dict()
    for func in funcs:
        if (not order.get(func, False)):
            max_order = 0
            for (i, eqs_) in enumerate(eq):
                order_ = ode_order(eqs_, func)
                if (max_order < order_):
                    max_order = order_
                    eq_no = i
            if (eq_no in func_dict):
                list_func = []
                list_func.append(func_dict[eq_no])
                list_func.append(func)
                func_dict[eq_no] = list_func
            else:
                func_dict[eq_no] = func
            order[func] = max_order
    funcs = [func_dict[i] for i in range(len(func_dict))]
    matching_hints['func'] = funcs
    for func in funcs:
        if isinstance(func, list):
            for func_elem in func:
                if (len(func_elem.args) != 1):
                    raise ValueError(('dsolve()    and    classify_sysode()    work    with    functions    of    one    variable    only,    not    %s' % func))
        elif...