nio-template | A template for creating matrix bots in python | Bot library

by anoadragon453 Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nio-template Summary

nio-template is a Python library typically used in Automation, Bot, Discord applications. nio-template has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A template for creating bots with matrix-nio. The documentation for matrix-nio can be found here. This repo contains a working Matrix echo bot that can be easily extended to your needs. Detailed documentation is included as well as a step-by-step guide on basic bot building.

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Security

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Support

nio-template has a low active ecosystem.

It has 60 star(s) with 25 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 3 have been closed. On average issues are closed in 31 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nio-template is current.

Quality

nio-template has 0 bugs and 0 code smells.

Security

nio-template has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nio-template code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nio-template is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nio-template releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

nio-template saves you 266 person hours of effort in developing the same functionality from scratch.

It has 644 lines of code, 36 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nio-template and discovered the below as its top functions. This is intended to give you an instant insight into nio-template implemented functionality, and help decide if they suit your requirements.

Parse config values
Get a config value from the config
Handle a message
Send a text message to a room
Process the command
Echo the message
Called when an event is received
Called when a message is lost
Handle an unknown event
Respond to a given event
Makes a Pillow
Invoked when an invitation is received
Invite a room
Read a file
Execute a file

Get all kandi verified functions for this library.

nio-template Key Features

No Key Features are available at this moment for nio-template.

nio-template Examples and Code Snippets

No Code Snippets are available at this moment for nio-template.

Community Discussions

Trending Discussions on nio-template

how to calculate the accuracy when working with corenlp

QUESTION

how to calculate the accuracy when working with corenlp

Asked 2017-May-26 at 23:34

please let me know if I am unclear,

I found some projects in the GitHub written with scala or java with the aim of getting sentiment of the text using corenlp,

I had already tried other approaches to get the sentiment of the text, the approach was like this, we had training data, so we trained data and make a model then we could evaluate our model with testing data, so the test data had an accuracy,

with regard to this, why no one is interested in calculating the accuracy of the result when they are working with corenlp?

may I ask you some ideas or approach to finding the accuracy when working with corenlp?

some examples: sentiment1

sentiment2

sentiment3

sentiment4

...

ANSWER

Answered 2017-May-26 at 23:34

After searching I found my answer,

the answere is as simple as this: corenlp is not a library for classification like this, I mean it reports the analysis of the text. but we can have both training data and testing data again then evaluate our accuracy. its a bit time consuming but worth it if you need to work with corenlp.

more explanations to how to do it link

Source https://stackoverflow.com/questions/44170614

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