✨风纪委员会自动投票脚本,利用Github Action帮你进行裁决操作(为了让其他风纪委员有案件可判,本程序从中午12点才开始运行,有需要请自己修改运行时间)

Overview

风纪委员会自动投票

本脚本通过使用Github Action来实现B站风纪委员的自动投票功能,喜欢请给我点个STAR吧!

如果你不是风纪委员,在符合风纪委员申请条件的情况下,本脚本会自动帮你申请

投票时间是早上八点,如果有需要请自行修改.github/workflows/Judge.yml中的时间,时间是UTC时区的时间,需要将时位+8才是北京时间

使用本脚本即代表你放弃追究开发者任何由使用本脚本而造成的责任,所有的责任由使用者自行承担!

赞助

点击下面的Badge其中一个就可以跳转到相应页面,感谢老板的支持!

前往爱发电赞助 使用微信赞助 使用支付宝赞助

目录

从零开始的使用指北☞

使用方法

1、Fork本仓库,直接点击右上角的Fork图标,然后将项目选择到你的账户下即可

2、进入设置,添加变量必需变量csrfsessdata,另有giveupdelay可选变量可以添加

请注意:你无需在仓库的secrets内设置名为GITHUB_TOKEN的变量,该名称本身就是指定为自己账户下名为GITHUB_TOKEN的密钥,如果你在仓库的secrets内设置将会被Github提示无效

如何获取变量内容?请点这里

保活策略

因为Github Action在仓库60天内没有任何Push的时候会禁用你的Action,这时候我们就要进行保活

保活Action已经写好了,但是这里有一些步骤是需要你进行的,请看下面的图片生成GITHUB_TOKEN以便让脚本造成的更改能够正常推送入你的仓库

到这里勾选完以后点绿绿的Generate token就可以了

变量获取

csrf与sessdata

首先我们打开B站,直接在B站的网址后面加上/judgement,或者直接访问https://bilibili.com/judgement,按下键盘上的F12,打开开发者工具

接着我们点到上面的Network(有些写的是网络,例如Edge),在左边找到index项,然后点击它,在右侧找到cookie这一个键,然后复制SESSDATA=;的内容作为sessdatabili_jct=;的内容作为csrf

请注意:不要把分号弄进去了!不要分号!不要分号!(重要的事情说三遍)

giveup与delay

这是两个我设定的值,因为B站对于案件有放弃这一说,所以我对它特别加了个开关

如果你不想让脚本对案件采用放弃的操作,那么就要添加Giveup这个值,而且必须填上False,否则一律当允许放弃处理;还有一个delay是不放弃的话等待多长时间以后再次进行操作计算,以秒为单位,必须是整数,不填就默认为300

JudgeProportion

这是一个设定赞成比例的值,默认设定的是0.7,即赞成票占全部的70%就选择赞成中票数较高的操作,或合规票占全部的70%(即违规占30%)时就投合规,否则进入放弃/等待阶段,这个数字必须是大于0且小于1的小数!若输入无效数字按默认值处理!

脚本测试

我们先进入Action界面,启用Action(因为我这里忘记截图了,所以用我隔壁的那个网易云游戏签到脚本来顶一下)

然后我们进入对应的脚本,启用脚本,并进行测试

只要打了绿色的勾勾就是成功了,然后你就不用管它了,它会自己运行的

脚本更新

自动更新(推荐)

点击这里安装插件,可以选择所有仓库,也可以指选择你Fork的仓库(当然至少要选择fork的仓库对吧,要不然怎么更新),然后不管它就好了

详细步骤可以看下面的图片

手动更新

具体看图,请注意:以下操作均在自己的仓库进行!

这样你就完成了手动更新操作!

免责声明

学习项目,请勿滥用!如果有因滥用造成的封号、删除账户等情况或违反相关法律所造成的责任,本人拒不承担!

Owner
Pesy Wu
C++菜鸟,一般用Python,高中生,2021高考生,上线时间少很多,不一定能及时回复请见谅(>人<;) 小号:@ElainaMoe
Pesy Wu
Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

41 Jan 03, 2023
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021) The implementation of Reducing Infromation Bottleneck for W

Jungbeom Lee 81 Dec 16, 2022
The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"

STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re

Shuai Shen 87 Dec 28, 2022
Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"

Status: Archive (code is provided as-is, no updates expected) Disclaimer This code is a based on "Jukebox: A Generative Model for Music" Paper We adju

Wadhah Zai El Amri 24 Dec 29, 2022
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

PyVarInf PyVarInf provides facilities to easily train your PyTorch neural network models using variational inference. Bayesian Deep Learning with Vari

342 Dec 02, 2022
Adversarial Reweighting for Partial Domain Adaptation

Adversarial Reweighting for Partial Domain Adaptation Code for paper "Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu, Adversarial Reweighting for Par

12 Dec 01, 2022
CCPD: a diverse and well-annotated dataset for license plate detection and recognition

CCPD (Chinese City Parking Dataset, ECCV) UPdate on 10/03/2019. CCPD Dataset is now updated. We are confident that images in subsets of CCPD is much m

detectRecog 1.8k Dec 30, 2022
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •

Pytorch Lightning 21.1k Jan 08, 2023
An implementation of MobileFormer

MobileFormer An implementation of MobileFormer proposed by Yinpeng Chen, Xiyang Dai et al. Including [1] Mobile-Former proposed in:

slwang9353 62 Dec 28, 2022
Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F

Jungsoo Lee 16 Jun 30, 2022
Code for "Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo"

Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo This repository includes the source code for our CVPR 2021 paper on multi-view mult

Jiahao Lin 66 Jan 04, 2023
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.

HITNET-Stereo-Depth-estimation Python scripts for performing stereo depth estimation using the HITNET Tensorflow model from Google Research. Stereo de

Ibai Gorordo 76 Jan 02, 2023
The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

Representative Batch Normalization (RBN) with Feature Calibration The official implementation of the CVPR2021 oral paper: Representative Batch Normali

Open source projects of ShangHua-Gao 76 Nov 09, 2022
Bayesian optimisation library developped by Huawei Noah's Ark Library

Bayesian Optimisation Research This directory contains official implementations for Bayesian optimisation works developped by Huawei R&D, Noah's Ark L

HUAWEI Noah's Ark Lab 395 Dec 30, 2022
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

Lens by Credo AI - Responsible AI Assessment Framework Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data a

Credo AI 27 Dec 14, 2022
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation By Vladimir Iglovikov and Alexey Shvets Introduction TernausNet is

Vladimir Iglovikov 1k Dec 28, 2022
Autonomous Robots Kalman Filters

Autonomous Robots Kalman Filters The Kalman Filter is an easy topic. However, ma

20 Jul 18, 2022
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

AlphaRotate: A Rotation Detection Benchmark using TensorFlow Abstract AlphaRotate is maintained by Xue Yang with Shanghai Jiao Tong University supervi

yangxue 972 Jan 05, 2023
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"

Hold me tight! Influence of discriminative features on deep network boundaries This is the source code to reproduce the experiments of the NeurIPS 202

EPFL LTS4 19 Dec 10, 2021
Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL)

Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL) This repository contains all source code used to generate the results in the article "

Charlotte Loh 3 Jul 23, 2022