human
Complete the below
def get_motion_params(frame, **kwargs):

    ''''Returns the three motion parameters - (acceleration, velocity, and
    position) as vectorial functions of time in the given frame.
    If a higher order differential function is provided, the lower order
    functions are used as boundary conditions. For example, given the
    acceleration, the velocity and position parameters are taken as
    boundary conditions.
    The values of time at which the boundary conditions are specified
    are taken from timevalue1(for position boundary condition) and
    timevalue2(for velocity boundary condition).
    If any of the boundary conditions are not provided, they are taken
    to be zero by default (zero vectors, in case of vectorial inputs). If
    the boundary conditions are also functions of time, they are converted
    to constants by substituting the time values in the dynamicsymbols._t
    time Symbol.
    This function can also be used for calculating rotational motion
    parameters. Have a look at the Parameters and Examples for more clarity.
    Parameters
    frame : ReferenceFrame
    The frame to express the motion parameters in
    acceleration : Vector
    Acceleration of the object/frame as a function of time
    velocity : Vector
    Velocity as function of time or as boundary condition
    of velocity at time = timevalue1
    position : Vector
    Velocity as function of time or as boundary condition
    of velocity at time = timevalue1
    timevalue1 : sympyfiable
    Value of time for position boundary condition
    timevalue2 : sympyfiable
    Value of time for velocity boundary condition
    Examples
    >>> from sympy.physics.vector import ReferenceFrame, get_motion_params, dynamicsymbols
    >>> from sympy import symbols
    >>> R = ReferenceFrame(\'R\')
    >>> v1, v2, v3 = dynamicsymbols(\'v1 v2 v3\')
    >>> v = v1*R.x + v2*R.y + v3*R.z
    >>> get_motion_params(R, position = v)
    (v1\'\'*R.x + v2\'\'*R.y + v3\'\'*R.z, v1\'*R.x + v2\'*R.y + v3\'*R.z, v1*R.x + v2*R.y + v3*R.z)
    >>> a, b, c = symbols(\'a b c\')
    >>> v = a*R.x +...'''
assistant
#Here is the Python code you requested.
    def _process_vector_differential(vectdiff, condition, variable, ordinate, frame):
        '\n                                Helper    function    for    get_motion    methods.    Finds    derivative    of    vectdiff    wrt\n                                variable,    and    its    integral    using    the    specified    boundary    condition    at\n                                value    of    variable    =    ordinate.\n                                Returns    a    tuple    of    -    (derivative,    function    and    integral)    wrt    vectdiff\n\n                                '
        if (condition != 0):
            condition = express(condition, frame, variables=True)
        if (vectdiff == Vector(0)):
            return (0, 0, condition)
        vectdiff1 = express(vectdiff, frame)
        vectdiff2 = time_derivative(vectdiff, frame)
        vectdiff0 = Vector(0)
        lims = (variable, ordinate, variable)
        for dim in frame:
            function1 = vectdiff1.dot(dim)
            abscissa = dim.dot(condition).subs({variable: ordinate})
            vectdiff0 += ((integrate(function1, lims) + abscissa) * dim)
        return (vectdiff2, vectdiff, vectdiff0)
    _check_frame(frame)
    if ('acceleration' in kwargs):
        mode = 2
    elif ('velocity' in kwargs):
        mode = 1
    else:
        mode = 0
    conditions = ['acceleration', 'velocity', 'position', 'timevalue', 'timevalue1', 'timevalue2']
    for (i, x) in enumerate(conditions):
        if (x not in kwargs):
            if (i < 3):
                kwargs[x] = Vector(0)
            else:
                kwargs[x] = S(0)
        elif (i < 3):
            _check_vector(kwargs[x])
        else:
            kwargs[x] = sympify(kwargs[x])
    if (mode == 2):
        vel = _process_vector_differential(kwargs['acceleration'], kwargs['velocity'], dynamicsymbols._t, kwargs['timevalue2'], frame)[2]
        pos = _process_vector_differential(vel, kwargs['position'], dynamicsymbols._t, kwargs['timevalue1'], frame)[2]
       ...