test.py

#encoding=utf-8
'''
找出一个锯齿数组里长度大于5的子数组
在符合要求的子数组里的数据里找出所有偶数
如果数据小于10的话乘以2,大于10的除以2
最后统计符合要求的数据的和
'''
inputdata = [
       [2,8,9,13,72,67,88,35,44],
       [33,28,47,2,10,45,66,92],
       [22,34,60,43,0,72,52],
       [10,11,53,58]
        ]

def sum1(input):
    return sum((lambda x: (x < 10 and [x*2] or [x/2])[0])(num)
            for seq in inputdata 
            if len(seq) >= 5
            for num in seq
            if num % 2 == 0)

def sum2(input):
    def getsublist():
        for sublist in input:
            if len(sublist) >= 5:
                yield sublist
    def filterdata(sublist):
        for data in sublist:
            if data % 2 == 0:
                yield data
    def processdata(data):
        if data < 10:
            return data * 2 
        return data / 2
    result = 0
    for sublist in getsublist():
        for data in filterdata(sublist):
            result += processdata(data)
    return result

def sum3(input):
    def filterList(matrix):
        return filter(lambda x: len(x) >= 5, matrix)

    def filterData(list):
        return filter(lambda x: x % 2 is 0, list)

    def processData(data):
        return data < 10 and data * 2 or data / 2

    def reduceList(list):
        return reduce(lambda x, y: x + processData(y), filterData(list), 0)

    def reduceMatrix(matrix):
        return reduce(lambda result, list: result + reduceList(list), filterList(matrix), 0)

    return reduceMatrix(input)

if __name__ == '__main__':
    print sum1(inputdata)
    print sum2(inputdata)
    print sum3(inputdata)

'''
找出一个锯齿数组里长度大于5的子数组
在符合要求的子数组里的数据里找出所有偶数
如果数据小于10的话乘以2,大于10的除以2
最后统计符合要求的数据的和
'''
inputdata = [
       [2,8,9,13,72,67,88,35,44],
       [33,28,47,2,10,45,66,92],
       [22,34,60,43,0,72,52],
       [10,11,53,58]
        ]

def sumIt(_input):
    return sum([sum([item *2 if item < 10 else item/2
                     for item in data_area
                     if item%2==0])
                for data_area in _input
                if len(data_area) > 5])

print sumIt(inputdata)

https://github.com/xiachufang/BlackCookbook/blob/master/python/sumit.py