小编use*_*040的帖子

我试图使用以下代码列出S3容器中的项目.

import boto.s3
from boto.s3.connection import OrdinaryCallingFormat

conn = boto.connect_s3(calling_format=OrdinaryCallingFormat())
mybucket = conn.get_bucket('Container001')

for key in mybucket.list():
    print key.name.encode('utf-8')

然后我收到以下错误.

Traceback (most recent call last):
  File "test.py", line 5, in <module>
    mybucket = conn.get_bucket('Container001')
  File "/usr/lib/python2.7/dist-packages/boto/s3/connection.py", line 370, in get_bucket
bucket.get_all_keys(headers, maxkeys=0)
File "/usr/lib/python2.7/dist-packages/boto/s3/bucket.py", line 358, in get_all_keys
'', headers, **params)
File "/usr/lib/python2.7/dist-packages/boto/s3/bucket.py", line 325, in _get_all
response.status, response.reason, body)
boto.exception.S3ResponseError: S3ResponseError: 301 Moved Permanently
<?xml version="1.0" encoding="UTF-8"?>
PermanentRedirectThe bucket you are attempting to access  must be addressed using the …

我想在scikit中使用RBM.我可以像许多其他分类器一样定义和训练RBM.

from sklearn.neural_network import BernoulliRBM
clf = BernoulliRBM(random_state=0, verbose=True)
clf.fit(X_train, y_train)

但我似乎无法找到一个让我成为预测的功能.我正在寻找scikit中以下之一的等效物.

y_score = clf.decision_function(X_test)
y_score = clf.predict(X_test)

BernoulliRBM中没有这两种功能.

我试图了解池和队列如何在Python中工作，并且以下示例未按预期工作。我希望程序结束，但是由于第二个队列没有清空，它陷入了无限循环。

import multiprocessing
import os
import time

inq = multiprocessing.Queue()
outq = multiprocessing.Queue()

def worker_main(q1, q2):
    while True:
        i = q1.get(True)
        time.sleep(.1) 
        q2.put(i*2)

def worker2(q):
    print q.get(True)

p1 = multiprocessing.Pool(3, worker_main,(inq, outq,))
p2 = multiprocessing.Pool(2, worker2,(outq,))


for i in range(50):
    inq.put(i)


while inq.qsize()>0 or outq.qsize()>0:
    print 'q1 size', inq.qsize(), 'q2 size', outq.qsize()
    time.sleep(.1)

输出显示第二个队列（outq）为.get一次，仅此而已。

输出：

q1 size 49 q2 size 0
q1 size 47 q2 size 0
2
4
q1 size 44 q2 size 1
q1 size 41 q2 size …

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