robomojo

# assumes:
# from pymel.core import *

print 'starting test'
system.newFile(force=True)

#print len(ls())

def makecubes (count):
  cubes = []

robomojo

import maya.cmds as mc
import pymel.core as pm

class ProgressBar:
    def __init__ (self,title,steps):
        #self.step = 0
        self.title=title
        self.steps = steps
        self.progressControls = []
        self.progressbar = self.makeProgressBarWindow()

robomojo

import re

for each in nodes:
    result = re.search('\Acollision_wall', each.name().split('|')[-1]) is not None
    if result: print each.name()

robomojo

import pymel.core as pm

# look through scriptjobs, which are strings. Find the annoying one and kill it.

for each in pm.scriptJob(listJobs=True):
    if 'syncChannelBoxFcurveEd' in each:
        index = int(each.split(':')[0])
        pm.scriptJob(kill=index)

robomojo

import pymel.core as pm
def quickSelect(search):
    nodes = pm.ls(type=pm.nodetypes.Transform)
    pm.select(clear=True)
    for each in nodes:
        for subeach in search:
            if subeach == each.name().replace(':','|').split('|')[-1]:
                pm.select(each,add=True)

quickSelect(['somename'])

robomojo

import pymel.core as pm
import re
from pprint import pprint

class NodeGetter:
	def __init__(self,args):
		'''
			Unpacks args to: nodename, searchmethod.
		'''
		(

robomojo

import os
import pymel.core as pm

cameras = pm.ls(type=pm.nodetypes.Camera)

for each in cameras:
    val = True if 'preview' in each.name() else False
    if val: playblasting = True
    pm.setAttr(each.renderable,val)
    each.setFilmFit('verticalFilmFit')

robomojo

import pymel.core as pm
import maya.mel as mel

topLevelShelf = mel.eval('string $m = $gShelfTopLevel')
shelves = pm.shelfTabLayout(topLevelShelf, query=True, tabLabelIndex=True)
for index, shelf in enumerate(shelves):
    pm.optionVar(stringValue=('shelfName%d' % (index+1), str(shelf)))
    # print shelf

robomojo

import pymel.core as pm
skin = pm.ls(type=pm.nodetypes.SkinCluster)[0]
# assign all weight to first influence
pm.skinPercent(skin, transformValue = (skin.getInfluence()[0].name(),1))
# clear skin
pm.skinPercent(skin, normalize=False, zeroRemainingInfluences=True)

robomojo

def findSkinClusters ():
    skins = []
    shapes = pm.listRelatives(shapes=True, noIntermediate=True)
    for shape in shapes:
        skinClusters = pm.ls(type=pm.nodetypes.SkinCluster)
        for skin in skinClusters:
            mesh = pm.skinCluster(skin, q=True, g=True)
            if mesh[0] == shape:
                relatedSkinCluster = sc
                skins.append(skin)