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Repository: SiriusXT/Zotero-Scholar-Rank
Branch: main
Commit: b02db667b58e
Files: 18
Total size: 5.1 MB
Directory structure:
gitextract_8885hwxi/
├── README.md
├── Zotero-Scholar-Rank.xpi
├── __data/
│ ├── test.js
│ ├── zsr-0.js
│ └── zsr-1.js
├── __release.bat
├── bootstrap.js
├── chrome/
│ └── content/
│ ├── overlay.xul
│ └── zsr.js
├── chrome.manifest
├── defaults/
│ └── preferences/
│ └── prefs.js
├── install.rdf
├── locale/
│ └── en-US/
│ ├── overlay.dtd
│ ├── zsr.ftl
│ └── zsr.properties
├── manifest.json
├── updates.json
└── 处理zky.py
================================================
FILE CONTENTS
================================================
================================================
FILE: __data/test.js
================================================
let ccf_ = [
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{
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{
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{
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{
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{
"Abbr": "KBS",
"Journal": "Knowledge-Based Systems",
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{
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"Journal": "Machine Translation",
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{
"Abbr": "",
"Journal": "Machine Vision and Applications",
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"Journal": "Natural Computing",
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"Journal": "Neurocomputing",
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{
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"Journal": "Pattern Analysis and Applications",
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{
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{
"Abbr": "",
"Journal": "Soft Computing",
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{
"Abbr": "WI",
"Journal": "Web Intelligence",
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{
"Abbr": "TIIS",
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"Abbr": "BIT",
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"Abbr": "PUC",
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"Abbr": "PMC",
"Journal": "Pervasive and Mobile Computing",
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"Abbr": "CHI",
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"Abbr": "UbiComp",
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"Abbr": "UIST",
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{
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"Journal": "International Conference on Mobile and Ubiquitous Systems: Computing,Networking and Services",
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"Abbr": "AVI",
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{
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"Abbr": "ICIP",
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"Abbr": "PRCV",
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{
"Abbr": "IANDC",
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{
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"Abbr": "CSL",
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"Abbr": "FMCAD",
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"Abbr": "FSTTCS",
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"Abbr": "DSAA",
"Journal": "IEEE International Conference on Data Science and Advanced Analytics",
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"Abbr": "ICTAC",
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{
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{
"Abbr": "TWC",
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{
"Abbr": "",
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"Abbr": "Abbr",
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{
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"Journal": "IEEE International Conference on Software Analysis, Evolution,and Reengineering",
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function findMatchInCCF(ccf, str) {
let maxlen = 2;
let fenqu = "";
for (let i = 0; i < ccf.length; i++) {
let entry = ccf[i];
let processedStr = str.toLowerCase().replace(/,/g, ' ').replace(/\s+/g, ' ').trim();
let processedJournal = entry.Journal.toLowerCase().replace(/,/g, ' ').replace(/\s+/g, ' ').trim();
if (entry.Journal.indexOf("Computer Vision and Pattern Recognition")>=0) {
processedJournal = "Computer Vision and Pattern Recognition".toLowerCase().replace(/\s+/g, ' ').trim();
}
const matchIndex = processedStr.indexOf(processedJournal);
if (entry.Journal && matchIndex !== -1) {
// >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
// https://github.com/SiriusXT/Zotero-Scholar-Rank/issues/26
// 获取匹配字符串前后的字符
const prevChar = matchIndex > 0 ? processedStr[matchIndex - 1
] : null;
const nextChar = matchIndex + processedJournal.length < processedStr.length ? processedStr[matchIndex + processedJournal.length
] : null;
// 检查前后字符是否都是空格
const isPrevCharSpace = prevChar === ' ' || prevChar === null;
const isNextCharSpace = nextChar === ' ' || nextChar === null;
// <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
if (entry.Journal.length >= maxlen && isPrevCharSpace && isNextCharSpace) {
maxlen = entry.Journal.length;
fenqu = entry.fenqu;
}
}
}
/////////////////
// maxlen = 2; abbr: Performance
for (let i = 0; i < ccf.length; i++) {
if (true) {
let entry = ccf[i
];
let abbr = entry.Abbr;
// 查找 entry.Abbr 在 str 中的匹配位置
const matchIndex = str.indexOf(abbr);
// 如果找到了匹配位置并且长度大于等于当前最大长度
if (matchIndex !== -1 && abbr.length >= maxlen) {
// 检查前一个和后一个字符是否是非字母字符或边界
const prevChar = matchIndex > 0 ? str[matchIndex - 1] : null;
const nextChar = matchIndex + abbr.length < str.length ? str[matchIndex + abbr.length] : null;
const isPrevCharNonLetter = prevChar === null || !/[a-zA-Z]/.test(prevChar);
const isNextCharNonLetter = nextChar === null || !/[a-zA-Z]/.test(nextChar);
// 只有在前后字符都不是字母时，才更新 maxlen 和 fenqu
if (isPrevCharNonLetter && isNextCharNonLetter) {
maxlen = abbr.length;
fenqu = entry.fenqu;
console.log('//',abbr,'//',str,312);
}
}
}
}
return fenqu;
}
console.log(findMatchInCCF(ccf_, 'Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition')
)
================================================
FILE: __data/zsr-0.js
================================================
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gitextract_8885hwxi/ ├── README.md ├── Zotero-Scholar-Rank.xpi ├── __data/ │ ├── test.js │ ├── zsr-0.js │ └── zsr-1.js ├── __release.bat ├── bootstrap.js ├── chrome/ │ └── content/ │ ├── overlay.xul │ └── zsr.js ├── chrome.manifest ├── defaults/ │ └── preferences/ │ └── prefs.js ├── install.rdf ├── locale/ │ └── en-US/ │ ├── overlay.dtd │ ├── zsr.ftl │ └── zsr.properties ├── manifest.json ├── updates.json └── 处理zky.py
SYMBOL INDEX (8 symbols across 2 files)
FILE: __data/test.js
function findMatchInCCF (line 3230) | function findMatchInCCF(ccf, str) {
FILE: bootstrap.js
function log (line 3) | function log(msg) {
function install (line 7) | function install() {
function startup (line 11) | async function startup({ id, version, rootURI }) {
function onMainWindowLoad (line 20) | function onMainWindowLoad({ window }) {
function onMainWindowUnload (line 24) | function onMainWindowUnload({ window }) {
function shutdown (line 28) | function shutdown() {
function uninstall (line 32) | function uninstall() {
Condensed preview — 18 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (6,200K chars).
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},
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"preview": "let __ranks = {\n _ccf: [{\"Abbr\":\"JACM\",\"Journal\":\"Journal of the ACM\",\"fenqu\":\"A\"},{\"Abbr\":\"Proc. IEEE\",\"Journal\":\"Pr"
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"preview": "\nComponents.utils.import('resource://gre/modules/Services.jsm');\n\n$__zsr = {};\n\n\n$__zsr.debugger = {\n /**\n * Print an"
},
{
"path": "__release.bat",
"chars": 748,
"preview": "\npowershell -Command \"powershell Get-Content -Path __data/zsr-0.js -Encoding utf8 | Set-Content -Path chrome/content/zsr"
},
{
"path": "bootstrap.js",
"chars": 667,
"preview": "var $__zsr;\n\nfunction log(msg) {\n Zotero.debug('ZSR:' + msg);\n}\n\nfunction install() {\n log('Installed ZSR 4.0.0');\n}\n\n"
},
{
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"chars": 870,
"preview": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<!DOCTYPE overlay SYSTEM \"chrome://zsr/locale/overlay.dtd\">\n\n<overlay id=\"GoogleS"
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"preview": "let __ranks = {\n _ccf: [{\"Abbr\":\"JACM\",\"Journal\":\"Journal of the ACM\",\"fenqu\":\"A\"},{\"Abbr\":\"Proc. IEEE\",\"Journal\":\"P"
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"path": "chrome.manifest",
"chars": 153,
"preview": "content zsr chrome/content/zsr/\nlocale zsr en-US chrome/locale/en-US/\noverlay chrome://zotero/content/zoteroPane.xul"
},
{
"path": "defaults/preferences/prefs.js",
"chars": 136,
"preview": "pref('extensions.zsr.useRandomWait', true);\npref('extensions.zsr.randomWaitMinMs', 1000);\npref('extensions.zsr.randomWai"
},
{
"path": "install.rdf",
"chars": 984,
"preview": "<?xml version=\"1.0\"?>\n<RDF:RDF\n xmlns:em=\"http://www.mozilla.org/2004/em-rdf#\"\n xmlns:NC=\"http://home.netscape.com/NC-"
},
{
"path": "locale/en-US/overlay.dtd",
"chars": 189,
"preview": "<!ENTITY zotero.zsr.update.label \"Update scholar rank...\">\n<!ENTITY zotero.zsr.updateCol.label \"Update scholar ranks...\""
},
{
"path": "locale/en-US/zsr.ftl",
"chars": 347,
"preview": "zsr-update = Update scholar rank\nzsr-update-col = Update scholar rank\nzsr-update-all = Update scholar ranks.\nzsr-lackPer"
},
{
"path": "locale/en-US/zsr.properties",
"chars": 426,
"preview": "recaptchaAlert=Please enter the Captcha on the page that will now open and then re-try updating the citations, or wait a"
},
{
"path": "manifest.json",
"chars": 538,
"preview": "{\n \"manifest_version\": 2,\n \"name\": \"Zotero Scholar Rank\",\n \"version\": \"2.6\",\n \"description\": \"Zotero Scholar Rank.\","
},
{
"path": "updates.json",
"chars": 520,
"preview": "{\n \"addons\": {\n \"SiriusXT@null.null\": {\n \"updates\": [\n {\n \"version\": \"2.6\",\n \"update_l"
},
{
"path": "处理zky.py",
"chars": 759,
"preview": "import csv\nimport json\n\n# 读取CSV文件\ncsv_file_path = r'X:\\workspace\\others\\ShowJCR\\中科院分区表及JCR原始数据文件/FQBJCR2023-UTF8.csv'\njs"
}
]
// ... and 2 more files (download for full content)
About this extraction
This page contains the full source code of the SiriusXT/Zotero-Scholar-Rank GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 18 files (5.1 MB), approximately 1.3M tokens, and a symbol index with 8 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.