打包算法的Python实现

Question

对于我正在处理的应用程序，我需要类似用 Python 实现的打包算法的东西 see here for more details .基本思想是我有 n 个不同大小的对象，我需要将它们放入 n 个箱子中，其中箱子的数量以及对象和箱子的大小都是有限的是固定的。对象/容器可以是 1d 或 2d，有兴趣查看两者。 (我认为 3d 对象可能比我需要的更多。)

我知道有多种算法可以解决这个问题，例如最佳拟合递减和首次拟合递减，但我希望可能有 Python(或 PHP/C++/Java，我真的没那么挑剔)。有什么想法吗？

Answer 1

https://bitbucket.org/kent37/python-tutor-samples/src/f657aeba5328/BinPacking.py

""" Partition a list into sublists whose sums don't exceed a maximum 
    using a First Fit Decreasing algorithm. See
    http://www.ams.org/new-in-math/cover/bins1.html
    for a simple description of the method.
"""


class Bin(object):
    """ Container for items that keeps a running sum """
    def __init__(self):
        self.items = []
        self.sum = 0

    def append(self, item):
        self.items.append(item)
        self.sum += item

    def __str__(self):
        """ Printable representation """
        return 'Bin(sum=%d, items=%s)' % (self.sum, str(self.items))


def pack(values, maxValue):
    values = sorted(values, reverse=True)
    bins = []

    for item in values:
        # Try to fit item into a bin
        for bin in bins:
            if bin.sum + item <= maxValue:
                #print 'Adding', item, 'to', bin
                bin.append(item)
                break
        else:
            # item didn't fit into any bin, start a new bin
            #print 'Making new bin for', item
            bin = Bin()
            bin.append(item)
            bins.append(bin)

    return bins


if __name__ == '__main__':
    import random

    def packAndShow(aList, maxValue):
        """ Pack a list into bins and show the result """
        print 'List with sum', sum(aList), 'requires at least', (sum(aList)+maxValue-1)/maxValue, 'bins'

        bins = pack(aList, maxValue)

        print 'Solution using', len(bins), 'bins:'
        for bin in bins:
            print bin

        print


    aList = [10,9,8,7,6,5,4,3,2,1]
    packAndShow(aList, 11)

    aList = [ random.randint(1, 11) for i in range(100) ]
    packAndShow(aList, 11)