wspy | Websocket protocol implemented by Python | Websocket library
kandi X-RAY | wspy Summary
kandi X-RAY | wspy Summary
#Websocket protocol version 13.0 - Implement by python 2.7. ##1.Introduction This is the new immediately communication between client and server. Only for the HTML5 javascript api referering to RFC6455. ##2.Usage It is a package for python 2.7, and you can apply it to your own application to construct the immediately communication between server and browser(best for new version of Chrome,Firefox). You should derive from WS class and reconstruct the process method for you own app. The default process method just return the message from client. send(cli, msg, isLast=True, opcode=1)(method for sending message to client).
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Top functions reviewed by kandi - BETA
- Unpack a message from a client .
- Main loop .
- Handshake .
- Initialize client .
- Create a new host
- get attribute by uuid
- String representation of the client .
- Set an attribute for a given uuid .
- Decrement the timeout .
wspy Key Features
wspy Examples and Code Snippets
Community Discussions
Trending Discussions on wspy
QUESTION
When I display a menu with select
, tt displays something like this
ANSWER
Answered 2021-Sep-23 at 09:45Can I modify how select numbers its menu items?
No. It is not possible to change it. It is hardcoded to )
. From https://github.com/bminor/bash/blob/master/execute_cmd.c#L3134 :
QUESTION
I am trying to find the optimal weights of two indexes (stocks and bonds) to mimic as closely as possible a stocks return. (NOC stock). I am having trouble setting up PuLP to minimize the sum of squared differences.
objective function: (minimize) (sum of weighted stock returns + sum of weighted bond return - stocks return)^2
where the stock and bond weights add to 1 and are both constrained between (0,1)
The issue is my returns are all in daily lists so I need to take the weights and multiple all the returns in the list before I can sum them and then use them in the objective function.
...ANSWER
Answered 2021-Aug-13 at 18:44Two things:
You cannot (so far as I'm aware) have a squared-difference objective function in
PuLP
. It can only handly linear programs - so with constraints and objectives which are linear in the decision variables. But I think what you want is to minimise the absolute difference - and that can be done in linear programs, the easiest way is to create an auxillary variable which is constrained to be larger than both the positive difference and the negative difference, i.e.:absDiff = LpVariable("absDiff", lowBound=0, cat ='Continuous')
Then you can add constraints like:
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Install wspy
You can use wspy 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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