ml_tangentWeight.py 文件源码

def tangentScale(value, outValue=None):

    if outValue == None:
        outValue = value

    curves = None

    #order of operations:
    #selected keys, visible in graph editor on current frame
    selected = False
    time = mc.currentTime(query=True)
    curves = mc.keyframe(query=True, name=True, selected=True)
    if curves:
        #try selected keys first
        selected = True
    else:
        #then visible in graph editor
        graphVis = mc.selectionConnection('graphEditor1FromOutliner', query=True, obj=True)
        if graphVis:
            curves = mc.keyframe(graphVis, query=True, name=True)
        else:
            #otherwise try keyed channels.
            sel = mc.ls(sl=True)
            if not sel:
                return
            curves = mc.listConnections(sel, s=True, d=False, type='animCurve')
            if not curves:
                return

    for curve in curves:

        keyTimes = list()

        #set tangents weighted if they aren't already
        if mc.keyTangent(curve, query=True, weightedTangents=True):
            mc.keyTangent(curve, edit=True, weightedTangents=True)

        if selected:
            keyTimes = mc.keyframe(curve, query=True, timeChange=True, selected=True)
        else:
            keyTimes = [time]

        for t in keyTimes:

            weight = mc.keyTangent(curve, time=(t,), query=True, inWeight=True, outWeight=True)
            if not weight:
                continue

            inOut = list()

            for w,v in zip(weight,[value,outValue]):
                if v<1 and w < 0.1:
                    inOut.append(0)
                elif v>1 and w == 0:
                    inOut.append(0.1)
                else:
                    inOut.append(w*v)

            mc.keyTangent(curve, time=(t,), edit=True, absolute=True, inWeight=inOut[0], outWeight=inOut[1])