Python &引用';模块';对象没有属性…”;多处理错误
我正在用Python2.7运行Windows7 我正在尝试使用Python &引用';模块';对象没有属性…”;多处理错误,python,multiprocessing,Python,Multiprocessing,我正在用Python2.7运行Windows7 我正在尝试使用multiprocessing模块运行基本的多处理代码,以测试可用性。我见过类似的错误,但下面的代码没有这些问题 当我从Anaconda命令提示符或Spyder IDE Python控制台运行下面的代码(或使用多处理模块的任何代码)时,我收到下面的错误消息 当我在Spyder IDE iPython控制台中运行代码时,我没有收到错误,但程序从未完成。从我的Windows任务管理器中,我可以看到python没有使用任何CPU,即使Spy
multiprocessing
模块运行基本的多处理代码,以测试可用性。我见过类似的错误,但下面的代码没有这些问题
当我从Anaconda命令提示符或Spyder IDE Python控制台运行下面的代码(或使用多处理
模块的任何代码)时,我收到下面的错误消息
当我在Spyder IDE iPython控制台中运行代码时,我没有收到错误,但程序从未完成。从我的Windows任务管理器
中,我可以看到python没有使用任何CPU,即使Spyder显示它仍在运行(控制台上方的红色方框为红色)
有人能告诉我怎么解决这个问题吗?如果需要更多细节,也请告诉我。谢谢 我运行的是Python3,IDE是anaconda(windows)中的spyder,因此我也遇到了错误。但是经过漫长的一天的搜索,我找到了一些解决方案,它帮助我在windows机器上运行相同的代码。此网站帮助我获得解决方案: 因为我使用的是python 3,所以我对程序做了如下更改:
from types import FunctionType
import marshal
def _applicable(*args, **kwargs):
name = kwargs['__pw_name']
code = marshal.loads(kwargs['__pw_code'])
gbls = globals() #gbls = marshal.loads(kwargs['__pw_gbls'])
defs = marshal.loads(kwargs['__pw_defs'])
clsr = marshal.loads(kwargs['__pw_clsr'])
fdct = marshal.loads(kwargs['__pw_fdct'])
func = FunctionType(code, gbls, name, defs, clsr)
func.fdct = fdct
del kwargs['__pw_name']
del kwargs['__pw_code']
del kwargs['__pw_defs']
del kwargs['__pw_clsr']
del kwargs['__pw_fdct']
return func(*args, **kwargs)
def make_applicable(f, *args, **kwargs):
if not isinstance(f, FunctionType): raise ValueError('argument must be a function')
kwargs['__pw_name'] = f.__name__ # edited
kwargs['__pw_code'] = marshal.dumps(f.__code__) # edited
kwargs['__pw_defs'] = marshal.dumps(f.__defaults__) # edited
kwargs['__pw_clsr'] = marshal.dumps(f.__closure__) # edited
kwargs['__pw_fdct'] = marshal.dumps(f.__dict__) # edited
return _applicable, args, kwargs
def _mappable(x):
x,name,code,defs,clsr,fdct = x
code = marshal.loads(code)
gbls = globals() #gbls = marshal.loads(gbls)
defs = marshal.loads(defs)
clsr = marshal.loads(clsr)
fdct = marshal.loads(fdct)
func = FunctionType(code, gbls, name, defs, clsr)
func.fdct = fdct
return func(x)
def make_mappable(f, iterable):
if not isinstance(f, FunctionType): raise ValueError('argument must be a function')
name = f.__name__ # edited
code = marshal.dumps(f.__code__) # edited
defs = marshal.dumps(f.__defaults__) # edited
clsr = marshal.dumps(f.__closure__) # edited
fdct = marshal.dumps(f.__dict__) # edited
return _mappable, ((i,name,code,defs,clsr,fdct) for i in iterable)
from multiprocessing import Pool
from poolable import make_applicable, make_mappable
def cube(x):
return x**3
if __name__ == "__main__":
pool = Pool(processes=2)
results = [pool.apply_async(*make_applicable(cube,x)) for x in range(1,7)]
print([result.get(timeout=10) for result in results])
完成此功能后,上述问题代码也会发生如下变化:
from types import FunctionType
import marshal
def _applicable(*args, **kwargs):
name = kwargs['__pw_name']
code = marshal.loads(kwargs['__pw_code'])
gbls = globals() #gbls = marshal.loads(kwargs['__pw_gbls'])
defs = marshal.loads(kwargs['__pw_defs'])
clsr = marshal.loads(kwargs['__pw_clsr'])
fdct = marshal.loads(kwargs['__pw_fdct'])
func = FunctionType(code, gbls, name, defs, clsr)
func.fdct = fdct
del kwargs['__pw_name']
del kwargs['__pw_code']
del kwargs['__pw_defs']
del kwargs['__pw_clsr']
del kwargs['__pw_fdct']
return func(*args, **kwargs)
def make_applicable(f, *args, **kwargs):
if not isinstance(f, FunctionType): raise ValueError('argument must be a function')
kwargs['__pw_name'] = f.__name__ # edited
kwargs['__pw_code'] = marshal.dumps(f.__code__) # edited
kwargs['__pw_defs'] = marshal.dumps(f.__defaults__) # edited
kwargs['__pw_clsr'] = marshal.dumps(f.__closure__) # edited
kwargs['__pw_fdct'] = marshal.dumps(f.__dict__) # edited
return _applicable, args, kwargs
def _mappable(x):
x,name,code,defs,clsr,fdct = x
code = marshal.loads(code)
gbls = globals() #gbls = marshal.loads(gbls)
defs = marshal.loads(defs)
clsr = marshal.loads(clsr)
fdct = marshal.loads(fdct)
func = FunctionType(code, gbls, name, defs, clsr)
func.fdct = fdct
return func(x)
def make_mappable(f, iterable):
if not isinstance(f, FunctionType): raise ValueError('argument must be a function')
name = f.__name__ # edited
code = marshal.dumps(f.__code__) # edited
defs = marshal.dumps(f.__defaults__) # edited
clsr = marshal.dumps(f.__closure__) # edited
fdct = marshal.dumps(f.__dict__) # edited
return _mappable, ((i,name,code,defs,clsr,fdct) for i in iterable)
from multiprocessing import Pool
from poolable import make_applicable, make_mappable
def cube(x):
return x**3
if __name__ == "__main__":
pool = Pool(processes=2)
results = [pool.apply_async(*make_applicable(cube,x)) for x in range(1,7)]
print([result.get(timeout=10) for result in results])
我得到的结果是:
[1, 8, 27, 64, 125, 216]
我认为这篇文章可能对一些windows用户有用