def asumdiffsquared(a,b, dimension=None, keepdims=0):
    if dimension == None:
        inarray = N.ravel(a)
        dimension = 0
    return asum((a-b)**2,dimension,keepdims)
Returns whether the current token is in a doc comment.
dataset/ETHPy150Open radlab/sparrow/src/main/python/third_party/stats.py/asumdiffsquared--crossover with--dataset/ETHPy150Open google/closure-linter/closure_linter/statetracker.py/StateTracker.InDocComment