BaseProxy | Asynchronous HTTP/HTTPS proxy | Proxy library
kandi X-RAY | BaseProxy Summary
kandi X-RAY | BaseProxy Summary
Asynchronous HTTP/HTTPS proxy that intercepts and modifies messages(异步http/https代理,可拦截修改报文)
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Top functions reviewed by kandi - BETA
- Send GET request
- Send the certificate
- Deal with req_plugs
- Set proxy to dst
- Connect to the server
- Connects to the proxy server
- Connect to the SSLD server
- Establish a connection to the proxy
- Decode the content body
- Set a header value
- Returns the body string
- Get a header value
- Generate the keypair
- Get the response body
- Register an intercept plugin
- Set body data
BaseProxy Key Features
BaseProxy Examples and Code Snippets
from multiprocessing import Manager
if __name__ == '__main__':
manager = Manager()
global_vars = manager.Namespace()
global_vars.x = 0
global_vars.y = True
global_vars.z = "hello"
for var in global_vars._getvalu
A.static = inspect.getattr_static(SuperA, "static")
code = '''def %s(self, *args, **kwds):
return self._callmethod(%r, args, kwds)''' % (meth, meth)
exec code in dic
from collections import defaultdict
from multiprocessing import Lock, Process
from multiprocessing.managers import SyncManager
class NamedResource:
def __init__(self):
# each client process is served by a seperate thread,
from multiprocessing.managers import BaseProxy
print(isinstance(myqueue, BaseProxy))
>>>True
"""Multiprocessing sync manager server process"""
from multiprocessing import Lock
from multiprocessing.managers import BaseManager
class proxy_object_manager(BaseManager): pass
plock = Lock()
proxy_object_manager.register("get_lock", cal
my_numbers = [516, 813, 901, 831, 194]
for number in my_numbers:
print baseproxy % (vip_, number)
hello.test.io:22225:testing-customer-username-zone-vip_ca-vip-516:password
hello.test.io:22225:testing-customer-username-zone-vip_ca-vip
SyncManager.register('Value', Value, ValueProxy)
SyncManager.register('Array', Array, ArrayProxy)
ArrayProxy = MakeProxyType('ArrayProxy', (
'__len__', '__getitem__', '__setitem__', '_
from collections import defaultdict
from multiprocessing.managers import MakeProxyType, SyncManager
DefaultDictProxy = MakeProxyType("DefaultDictProxy", [
'__contains__', '__delitem__', '__getitem__', '__len__',
'__setitem__', 'c
Community Discussions
Trending Discussions on BaseProxy
QUESTION
So I am trying to share access to a custom class object over a network by having a host machine serve it, and multiple clients connect to and update it. It seems that the standard multiprocessing library has managers and proxies for just this usage case.
I believe from reading the multiprocessing docs (and other posts here) that on the host side I need a custom manager derived from the multiprocessing BaseManager class then register my custom class with a custom proxy derived from the multiprocessing BaseProxy class. I believe on the client side I need to connect to the manager and interact with my custom class using a proxy.
The issue I am having is that attributes that change on the host version of my custom class cannot be seen on the clients and vice versa. It seems I have done something wrong with the implementation or misunderstood the docs/source. Can someone help provide a working example and explain the solution?
Here is my minimal example.
Run manager in one terminal with:
...ANSWER
Answered 2021-Jan-02 at 23:04The client has a different instance of a shared Foo. You can pass that instance to other processes and see that it is working correctly. Below I've passed it to two other processes: one prints current value and changes it, the other waits a moment, then prints the value updated by the first worker:
QUESTION
I'm trying to follow an Android ARCore tutorial however I keep on getting this error when I try to start the app:
...ANSWER
Answered 2020-Apr-24 at 12:23It looks from there error that you are running the app on an Intel rather than an ARM device - the different hardware's often require different library files.
If you are running the app in an emulator then the ARCore instructions provide information on setting up x86 support for the emulator (https://developers.google.com/ar/develop/java/emulator):
Get Android Studio and SDK tools for ARCore
Install Android Studio 3.1 or later.
In Android Studio, go to Preferences > Appearance and Behavior > System Settings > Android SDK.
Select the SDK Platforms tab and check Show Package Details.
Under Android 8.1 (Oreo), select:
Google APIs Intel x86 Atom System Image API Level 27, version 4 or later.
Select the SDK Tools tab and add Android Emulator 27.2.9 or later.
Click OK to install the selected pacakges and tools.
Click OK again to confirm changes.
Accept the license agreement for the Component Installer.
Click Finish.
Look at the Note on needing x86 API's if your app includes NDK components also, at the same link above, as a check, but I don't think this applies to your case at the moment.
If for some reason you need to run on x86b and there are no x86 versions of some binaries you need, there is a library which facilitates this called libhoundi. There is a good overview of it here: https://commonsware.com/blog/2013/11/21/libhoudini-what-it-means-for-developers.html
Again, I don't think this applies in your case but it may be useful to know as background.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BaseProxy
You can use BaseProxy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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