寻找主要因素的差异

时间:2019-01-18 12:00:42

标签: python prime-factoring

使用Python primefac模块-https://pypi.org/project/primefac/

我注意到此代码有效:

import sys
import primefac
n = 600851475143
factors = list(primefac.primefac(n))

但这不是:

import sys
import primefac
n = 19087688894909892783503691960213776632781962588843842839953893606139157282825376128877238229887486797933180624979637419997128020864299273315243907454874577263432419226852240380380880131843664800828228959920799327101817796594944161768692639537839544009100224905464911818390882192901883104039350105285757995782376058970382205463192526628231366854662473466838863987148898819243940809068605863725041711337107340279029811816555169181781669826715177100102639379572663639848699896757952171115689208069972249342540932428107175784150214806633479073061672324629925288020557720111253896992657435200329511186117042808357973613389
factors = list(primefac.primefac(n))

导致以下错误:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Python27\lib\site-packages\primefac.py", line 677, in primefac
    f = multifactor(n, methods=methods, verbose=verbose)
  File "C:\Python27\lib\site-packages\primefac.py", line 596, in multifactor
    for p in procs: p.start()
  File "C:\Python27\lib\multiprocessing\process.py", line 130, in start
    self._popen = Popen(self)
  File "C:\Python27\lib\multiprocessing\forking.py", line 277, in __init__
    dump(process_obj, to_child, HIGHEST_PROTOCOL)
  File "C:\Python27\lib\multiprocessing\forking.py", line 199, in dump
    ForkingPickler(file, protocol).dump(obj)
  File "C:\Python27\lib\pickle.py", line 224, in dump
    self.save(obj)
  File "C:\Python27\lib\pickle.py", line 331, in save
    self.save_reduce(obj=obj, *rv)
  File "C:\Python27\lib\pickle.py", line 425, in save_reduce
    save(state)
  File "C:\Python27\lib\pickle.py", line 286, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:\Python27\lib\pickle.py", line 655, in save_dict
    self._batch_setitems(obj.iteritems())
  File "C:\Python27\lib\pickle.py", line 687, in _batch_setitems
    save(v)
  File "C:\Python27\lib\pickle.py", line 286, in save
    f(self, obj) # Call unbound method with explicit self
  File "C:\Python27\lib\pickle.py", line 754, in save_global
    (obj, module, name))
pickle.PicklingError: Can't pickle <function factory at 0x00000000032520B8>: it's not found as primefac.factory
type(n)Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Python27\lib\multiprocessing\forking.py", line 381, in main
    self = load(from_parent)
  File "C:\Python27\lib\pickle.py", line 1384, in load
    return Unpickler(file).load()
  File "C:\Python27\lib\pickle.py", line 864, in load
    dispatch[key](self)
  File "C:\Python27\lib\pickle.py", line 886, in load_eof
    raise EOFError
EOFError

有人知道为什么会这样吗?

在两种情况下,type(n)返回<type 'long'>

2 个答案:

答案 0 :(得分:1)

这是我的两分钱

  • 尝试导入gmpy2(如果您还没有的话)。
  • 从您链接到的项目页面:

      

    GNU的factor命令不会分解大于2 ^ 127-1的任何东西

    大约是1.7 * 10 ^ 38,这个数字比您的数字小得多 被“倾销”。 因此,可能(我在这里推测)该程序包存在限制 而那些举报的人 它在某些操作系统(目前为MacOS)上的运行也得到了一些“转储” 错误,使用CPython级别的操作系统处理,并带有一些“垃圾”内存 价值观,使他们相信这是可行的。

答案 1 :(得分:1)

函数factory primefac.py 中的另一个函数multifactor中定义。

  

pickle.PicklingError:无法在以下位置腌制函数工厂   0x00000000032520B8:找不到为primefac.factory

Pickle仅在顶级功能上起作用。

如果将此功能移到顶层,即从 primefac.py 中的多因素中移出,则此错误将消失。