pathos.multiprocessing有星图吗?
Does pathos.multiprocessing have starmap?
我在执行下面的代码时出错。问题似乎是 map
不支持接受多个输入的函数,就像在 python 内置 multiprocessing
包中一样。但是在内置包中,有一个 starmap
可以解决这个问题。 pathos.multiprocessing
有相同的吗?
import pathos.multiprocessing as mp
class Bar:
def foo(self, name):
return len(str(name))
def boo(self, x, y, z):
sum = self.foo(x)
sum += self.foo(y)
sum += self.foo(z)
return sum
if __name__ == '__main__':
b = Bar()
pool = mp.ProcessingPool()
results = pool.map(b.boo, [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
print(results)
TypeError: boo() missing 2 required positional arguments: 'y' and 'z'
按照建议更新 lambda 表达式(无效):
if __name__ == '__main__':
b = Bar()
pool = mp.ProcessingPool()
results = pool.map(lambda x: b.boo(*x), [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
print(results)
multiprocess.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File
"C:\Users\yg451\Anaconda3\lib\site-packages\multiprocess\pool.py",
line 121, in worker
result = (True, func(*args, **kwds))
File
"C:\Users\yg451\Anaconda3\lib\site-packages\multiprocess\pool.py",
line 44, in mapstar
return list(map(*args))
File
"C:\Users\yg451\Anaconda3\lib\site-packages\pathos\helpers\mp_helper.py",
line 15, in
func = lambda args: f(*args)
File "C:/Users/yg451/Code/foo/Machine
Learning/xPype/test/scratch.py", line 18, in
results = pool.map(lambda x: b.boo(*x), [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
NameError: name 'b' is not defined
"""
我是 pathos
的作者。 pathos
比 starmap
老,并不真的需要它。它以与内置 map
完全相同的方式解决池中的多个参数。
>>> import pathos.multiprocessing as mp
>>> class Bar:
... def foo(self, name):
... return len(str(name))
... def boo(self, x, y, z):
... sum = self.foo(x)
... sum += self.foo(y)
... sum += self.foo(z)
... return sum
...
>>> b = Bar()
>>> pool = mp.ProcessingPool()
>>> f = lambda x: b.boo(*x)
>>> results = pool.map(f, [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
>>> results
[6, 4, 5]
>>> results = pool.map(b.boo, [12, 9, 'a'], [3, 9, 'b'], [456, 10, 'cde'])
>>> results
[6, 4, 5]
>>> results = map(b.boo, [12, 9, 'a'], [3, 9, 'b'], [456, 10, 'cde'])
>>> list(results)
[6, 4, 5]
>>>
所以,本质上,starmap
是不必要的。然而,由于它最近被添加到 python 的某些版本的 multiprocessing
中的标准 Pool
界面中,它可能应该在 pathos
中更加突出。请注意,如果您愿意,已经可以从 pathos
获得 "augmented" 版本的 starmap
。
>>> import pathos
>>> mp = pathos.helpers.mp
>>> p = mp.Pool()
>>> p.starmap
<bound method Pool.starmap of <multiprocess.pool.Pool object at 0x1038684e0>>
>>>
我在执行下面的代码时出错。问题似乎是 map
不支持接受多个输入的函数,就像在 python 内置 multiprocessing
包中一样。但是在内置包中,有一个 starmap
可以解决这个问题。 pathos.multiprocessing
有相同的吗?
import pathos.multiprocessing as mp
class Bar:
def foo(self, name):
return len(str(name))
def boo(self, x, y, z):
sum = self.foo(x)
sum += self.foo(y)
sum += self.foo(z)
return sum
if __name__ == '__main__':
b = Bar()
pool = mp.ProcessingPool()
results = pool.map(b.boo, [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
print(results)
TypeError: boo() missing 2 required positional arguments: 'y' and 'z'
按照建议更新 lambda 表达式(无效):
if __name__ == '__main__':
b = Bar()
pool = mp.ProcessingPool()
results = pool.map(lambda x: b.boo(*x), [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
print(results)
multiprocess.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "C:\Users\yg451\Anaconda3\lib\site-packages\multiprocess\pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "C:\Users\yg451\Anaconda3\lib\site-packages\multiprocess\pool.py", line 44, in mapstar
return list(map(*args))
File "C:\Users\yg451\Anaconda3\lib\site-packages\pathos\helpers\mp_helper.py", line 15, in
func = lambda args: f(*args)
File "C:/Users/yg451/Code/foo/Machine Learning/xPype/test/scratch.py", line 18, in
results = pool.map(lambda x: b.boo(*x), [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
NameError: name 'b' is not defined
"""
我是 pathos
的作者。 pathos
比 starmap
老,并不真的需要它。它以与内置 map
完全相同的方式解决池中的多个参数。
>>> import pathos.multiprocessing as mp
>>> class Bar:
... def foo(self, name):
... return len(str(name))
... def boo(self, x, y, z):
... sum = self.foo(x)
... sum += self.foo(y)
... sum += self.foo(z)
... return sum
...
>>> b = Bar()
>>> pool = mp.ProcessingPool()
>>> f = lambda x: b.boo(*x)
>>> results = pool.map(f, [(12, 3, 456), (8, 9, 10), ('a', 'b', 'cde')])
>>> results
[6, 4, 5]
>>> results = pool.map(b.boo, [12, 9, 'a'], [3, 9, 'b'], [456, 10, 'cde'])
>>> results
[6, 4, 5]
>>> results = map(b.boo, [12, 9, 'a'], [3, 9, 'b'], [456, 10, 'cde'])
>>> list(results)
[6, 4, 5]
>>>
所以,本质上,starmap
是不必要的。然而,由于它最近被添加到 python 的某些版本的 multiprocessing
中的标准 Pool
界面中,它可能应该在 pathos
中更加突出。请注意,如果您愿意,已经可以从 pathos
获得 "augmented" 版本的 starmap
。
>>> import pathos
>>> mp = pathos.helpers.mp
>>> p = mp.Pool()
>>> p.starmap
<bound method Pool.starmap of <multiprocess.pool.Pool object at 0x1038684e0>>
>>>