带有Python2.7.6的Windows上的Guppy/Heapy

Question

我刚投了0.1.10。然后在Ipython 2.1.0中输入

from guppy import hpy
hp = hpy()

使控制台崩溃，即windows告诉我，python.exe刚刚崩溃。有什么解决办法吗？还是其他的选择？

Answer 1

我和格皮/海皮也有过同样的问题。格皮现在有点过时了。有某种补丁，但我再也找不到了。然而，在python2.7中，它并不适用于我。您也可以有问题，因为操作系统的arch (64位！？)。

还有关于内存分析技术的其他问题：

• Python memory leaks
• Which Python memory profiler is recommended?

我个人认为最有价值的选择是：

• profiler
• https://launchpad.net/meliae
• http://mg.pov.lt/objgraph/

计算对象的大小并自己跟踪它也很有用。我详细阐述了一些代码(最初是由https://stackoverflow.com/users/216356/noctis-skytower编写的)，我在其中一个StackOverflow问题(Approximately how much memory would a list of 80000 items consume in python?)中发现这些代码与Python2.7兼容(应该在3中也适用)：

totalSizeOf = lambda obj: sum(map(sys.getsizeof, explore(obj, set())))
def explore(obj, memo):
    loc = id(obj)
    if loc not in memo:
        memo.add(loc)
        yield obj
        # Handle instances with slots.
        try:
            slots = obj.__slots__
        except AttributeError:
            pass
        else:
            for name in slots:
                try:
                    attr = getattr(obj, name)
                except AttributeError:
                    pass
                else:
                    #yield from explore(attr, memo)
                    for bar in explore(attr, memo):
                        yield bar
        # Handle instances with dict.
        try:
            attrs = obj.__dict__
        except AttributeError:
            pass
        else:
            #yield from explore(attrs, memo)
            for bar in explore(attrs, memo):
                yield bar
        # Handle dicts or iterables.
        for name in 'keys', 'values', '__iter__':
            try:
                attr = getattr(obj, name)
            except AttributeError:
                pass
            else:
                for item in attr():
                    #yield from explore(item, memo)
                    for bar in explore(item, memo):
                        yield bar