proxify | A python module for dumping usable proxies | Proxy library
kandi X-RAY | proxify Summary
kandi X-RAY | proxify Summary
Proxify is a python module for dumping usable proxies. It supports both python2 and python3 and can be install via pip as follows.
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Top functions reviewed by kandi - BETA
- Fetch data from the API
- Make a request to the free proxy list
proxify Key Features
proxify Examples and Code Snippets
Community Discussions
Trending Discussions on proxify
QUESTION
I'm working on the API automation using mocha and chai.
I need to compare the response of the api and compare it with chai jsonschema assertion.
...ANSWER
Answered 2021-Oct-07 at 05:45You have not mentioned the imports of your test file and most likely that is the place where you are making a mistake.
These sorts of errors are thrown by the chai library when you try to use something which is not in-built in your case the chai-json-schema plugin.
Try to update your imports as below:
QUESTION
Let's say we have:
...ANSWER
Answered 2021-May-24 at 22:34No, there is no way to do that. bar
is a normal array, there is not difference between an array created through an array literal with spread syntax, by concat
calls, or from push
ing in a loop.
QUESTION
I have a Poco (v1.9.4) based class
...ANSWER
Answered 2021-Mar-02 at 06:07According to the Poco documentation:
Option arguments can be specified in three ways. If a Unix short option ("-o") is given, the argument directly follows the option name, without any delimiting character or space ("-ovalue"). In default option mode, or if a Unix long option ("--option") is given, the option argument is delimited from the option name with either an equal sign ('=') or a colon (':'), as in "--option=value" or "/option:value". Finally, a required option argument can be specified on the command line after the option, delimited with a space, as in "--option value" or "-o value". The latter only works for required option arguments, not optional ones.
Basically a required argument needs a space between the name and value whilst an optional one doesn't. So for your optional argument, specify it like this: -ptrue
or --proxytrue
or --proxy:true
.
For the required argument, there's another issue here. You would have thought that using the setter .required(true)
with Poco::Util::Option
would be enough to define a required argument in the code, but apparently not. You also have to use the setter .argument()
, which by default sets required
to true:
QUESTION
I'm working on a opensource library that makes Proxies of Rx Observables.
(I'll use Box
instead of Observable
for simplicity)
It takes in a Box
and returns a type
{ [P in keyof A]: Box }
.
With one nuance: all methods on this new type should also return a Box
of that method result, while keeping it's params types. So:
ANSWER
Answered 2020-Oct-13 at 07:30There is a problem with mapping overloaded functions. If you just use O extends (...a: infer P) => infer R
you will actually always get the last overload. There is no way to get the arguments for an arbitrary number of overloads, but you can create a conditional type to get the overloaded arguments for up to a certain number of overloads using the technique outlined here
QUESTION
I get this error when I'm running my unit tests on gitlab pipeline, but it work fine on my local environement:
...ANSWER
Answered 2020-Oct-05 at 17:14It was an issue with my gitlab configuration. The unit tests were run before the server was fully run.
I add a wait-for-it script to wait for the server to be run, then run the unit tests.
QUESTION
I'm taking the mongoDB course on how to connect node to MongoDB. I only wrote this ( in the file they gave for the course) :
...ANSWER
Answered 2020-Aug-24 at 21:17Based on a discussion in github it is better to use other functions for not null
check, it is look like there was some changes in their api
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install proxify
You can use proxify 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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