我首先注意到一个带有尾随感叹号/爆炸(!)的函数,同时浏览Phoenix教程(在Incoming Events部分)
def handle_in("new_msg", %{"body" => body}, socket) do
broadcast! socket, "new_msg", %{body: body}
{:noreply, socket}
end
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尾随感叹号是什么意思?它有什么用吗?我一直在寻找并尝试寻找,但我不确定我是否使用了正确的条款.到目前为止,似乎只有作为约定的函数会在失败时引发错误,但总是意味着它总是意味着.
我看到它的唯一提及出现在Dave Thomas的"Programming Elixir"中:
Identifiers in Elixir are combinations of upper and lower case ASCII
characters, digits, and underscores. Function names may end with a
question mark or an exclamation point.
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而且在文档它提到:
Notice that when the file does not exist, the version with ! raises an
error. The version without ! is preferred when you want to handle …
Run Code Online (Sandbox Code Playgroud) 从Redis中调用Lua脚本时,可以在两个数组中传递值:KEYS和ARGV.有什么不同?Redis如何处理KEYS数组中的值?如果在我的脚本中,我必须使用在运行时动态生成的密钥,该怎么办?
如果我以前不知道执行了哪个任务,如何提取任务的结果?这是设置:给定以下源('tasks.py'):
from celery import Celery
app = Celery('tasks', backend="db+mysql://u:p@localhost/db", broker = 'amqp://guest:guest@localhost:5672//')
@app.task
def add(x,y):
return x + y
@app.task
def mul(x,y):
return x * y
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RabbitMQ 3.3.2在本地运行:
marcs-mbp:sbin marcstreeter$ ./rabbitmq-server
RabbitMQ 3.3.2. Copyright (C) 2007-2014 GoPivotal, Inc.
## ## Licensed under the MPL. See http://www.rabbitmq.com/
## ##
########## Logs: /usr/local/var/log/rabbitmq/rabbit@localhost.log
###### ## /usr/local/var/log/rabbitmq/rabbit@localhost-sasl.log
##########
Starting broker... completed with 10 plugins.
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与Celery 3.1.12在本地运行:
-------------- celery@Marcs-MacBook-Pro.local v3.1.12 (Cipater)
---- **** -----
--- * *** * -- Darwin-13.2.0-x86_64-i386-64bit
-- * - **** …
Run Code Online (Sandbox Code Playgroud) 创建集合时:
>>> falsey_set = {0, '', False, None} # set([False, '', None])
>>> falsey_set = {False, '', 0, None} # set([0,'', None])
>>> # adding an item to the set doesn't change anything either
>>> falsey_set.add(False) # set([0,'',None])
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或字典,在某种程度上模仿行为:
>>> falsey_dict = {0:"zero", False:"false"} # {0:'false'} # that's not a typo
>>> falsey_dict = {False:'false', 0:'zero'} # {False: 'zero'} # again, not a typo
>>> falsey_set.add(()) # set([0,'', None, ()])
>>> falsey_set.add({})
Traceback (most recent call last):
File "<stdin>", line …
Run Code Online (Sandbox Code Playgroud) 当python的解释器执行时,PyCharm不会从nose配置文件加载任何设置.如何启用PyCharm来使用配置文件?我也想了解原因.
这是非常重要的设置来从配置文件中,并不仅PARAMS我PyCharm的实例.我提供的设置只有3个文件,但我最终将使用答案来协作共享测试设置.
这是设置:
~/PycharmProjects/Testing/test_suite.py
~/PycharmProjects/Testing/unnecessary_math.py
~/nose.cfg
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当通过解释器(在PyCharm之外)运行时,"nose.cfg"设置被识别并运行给出:
Marcs-MacBook-Pro:Testing marcs$ nosetests -s .
nose.config: INFO: Ignoring files matching ['^\\.', '^_', '^setup\\.py$']
Doctest: unnecessary_math.divide ... ok
Doctest: unnecessary_math.multiply ... ok
Starting Test
['/Users/marcs/nose.cfg']
test_suite.test_numbers_0_4 ... ok
test_suite.test_num_4_4_4_4 ... ok
Ending Test
----------------------------------------------------------------------
XML: nosetests.xml
----------------------------------------------------------------------
Ran 4 tests in 0.008s
OK
Marcs-MacBook-Pro:Testing marcs$
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从PyCharm运行时,我得到了这个输出
/System/Library/Frameworks/Python.framework/Versions/2.7/bin/python /Applications/PyCharm.app/helpers/pydev/pydevd.py --multiproc --client 127.0.0.1 --port 61446 --file /Applications/PyCharm.app/helpers/pycharm/noserunner.py /Users/marcs/PycharmProjects/Testing/ -s
Testing started at 5:36 AM ...
pydev debugger: process 10464 is connecting
Connected …
Run Code Online (Sandbox Code Playgroud) 对我的 kubernetes 节点发出的每个请求都会导致Ingress Service Unavailable
(503) 响应。
我应该采取哪些不同的步骤来解决此问题?
python ×3
celery ×1
celery-task ×1
elixir ×1
jobs ×1
k3s ×1
kubernetes ×1
nose ×1
nosetests ×1
pycharm ×1
raspberry-pi ×1
redis ×1
set ×1
traefik ×1