Python 测试使用多处理的代码时，nose.main挂起

我有一个存储函数的类和一个尝试使用

多处理

模块并行运行函数的方法。我正在用

nose

模块测试这个类，并且

nose.main（）

函数在运行时挂起（没有发生任何事情，没有显示输出，必须手动告诉内核停止并重新启动）。我的目录看起来像：

Parent/
    test.py
    Code/
        __init__.py
        code.py
    tests/
        test_code.py

code.py

包含：

import multiprocessing as mp
import numpy as np
import itertools

def target(): pass
def target_star(args): return target(*args)

class FuncWrapper():
    def __init__(self, fun):
        self.fun = fun

    def run(self, X):
        try:
            arg_list_objects = []
            arg_list_inputs = []

            for i in range(len(X)):
                arg_list_objects.append(self.fun.im_self)
                arg_list_inputs.append(X[i])

            target.__code__ = self.fun.im_func.__code__

            pool = mp.Pool(processes=mp.cpu_count()-1)

            F = np.array(pool.map(target_star, itertools.izip(arg_list_objects, arg_list_inputs))).reshape(X.shape)

            pool.close()
            pool.join()
        except:
            F = self.fun(X)

        return F

import numpy as np
from unittest import TestCase
import unittest
from Code.code import FuncWrapper

class TestCode(TestCase):

    def f(self, x):
        return x

    def test_FuncWrapper(self):
        x = np.random.uniform(0, 1, (50, 1))
        return FuncWrapper(self.f).run(x)

if __name__ == '__main__':
    unittest.main()

import nose

nose.main()

try:

块中的大部分代码用于使

pool.map

函数与类方法一起工作

test\u code.py

包含：

import multiprocessing as mp
import numpy as np
import itertools

def target(): pass
def target_star(args): return target(*args)

class FuncWrapper():
    def __init__(self, fun):
        self.fun = fun

    def run(self, X):
        try:
            arg_list_objects = []
            arg_list_inputs = []

            for i in range(len(X)):
                arg_list_objects.append(self.fun.im_self)
                arg_list_inputs.append(X[i])

            target.__code__ = self.fun.im_func.__code__

            pool = mp.Pool(processes=mp.cpu_count()-1)

            F = np.array(pool.map(target_star, itertools.izip(arg_list_objects, arg_list_inputs))).reshape(X.shape)

            pool.close()
            pool.join()
        except:
            F = self.fun(X)

        return F

import numpy as np
from unittest import TestCase
import unittest
from Code.code import FuncWrapper

class TestCode(TestCase):

    def f(self, x):
        return x

    def test_FuncWrapper(self):
        x = np.random.uniform(0, 1, (50, 1))
        return FuncWrapper(self.f).run(x)

if __name__ == '__main__':
    unittest.main()

import nose

nose.main()

test.py

包含：

import multiprocessing as mp
import numpy as np
import itertools

def target(): pass
def target_star(args): return target(*args)

class FuncWrapper():
    def __init__(self, fun):
        self.fun = fun

    def run(self, X):
        try:
            arg_list_objects = []
            arg_list_inputs = []

            for i in range(len(X)):
                arg_list_objects.append(self.fun.im_self)
                arg_list_inputs.append(X[i])

            target.__code__ = self.fun.im_func.__code__

            pool = mp.Pool(processes=mp.cpu_count()-1)

            F = np.array(pool.map(target_star, itertools.izip(arg_list_objects, arg_list_inputs))).reshape(X.shape)

            pool.close()
            pool.join()
        except:
            F = self.fun(X)

        return F

import numpy as np
from unittest import TestCase
import unittest
from Code.code import FuncWrapper

class TestCode(TestCase):

    def f(self, x):
        return x

    def test_FuncWrapper(self):
        x = np.random.uniform(0, 1, (50, 1))
        return FuncWrapper(self.f).run(x)

if __name__ == '__main__':
    unittest.main()

import nose

nose.main()

当我从父文件夹运行

test\u code.py

时，它成功地执行了测试，但当运行

test.py

时，什么也没有发生。我应该如何使用

nose.main

函数使其不会挂起，或者

nose

模块中是否有其他函数可以在此处工作

我正在使用Ubuntu14.04 LTS 64位和Enthound Python发行版（Python2.7.11 64位）以及它们的Canopy IDE。

可能与