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kiwi-java

Release

A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm

Installation

Maven

In pom.xml, add the following at the end of the <repositories> section:

<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:

<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle

In build.gradle, add the following at the end of the repositories section:

maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:

implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:

  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).

Example usage

importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}

Background

This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.

History

The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm. At that time, the tests ported from the java cassowary project, did not pass. The project was forgotten about until early 2016 when yonsunCN found it and fixed it.

As of January 2016, the tests ported from java cassowary project now pass.

Contributors

Links

About

A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm

Resources

Readme
License
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
Contributors
Links
About
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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kiwi-java
Release
A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
Installation
Maven
In pom.xml, add the following at the end of the <repositories> section:
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>

Then, add the following to the <dependencies> section:
<dependency>
<groupId>com.github.kausko</groupId>
<artifactId>kiwi-java</artifactId>
<version>master-SNAPSHOT</version>
</dependency>

Gradle
In build.gradle, add the following at the end of the repositories section:
maven { url 'https://jitpack.io' }

Then, add the following to the dependencies section:
implementation 'com.github.kausko:kiwi-java:master-SNAPSHOT'

Notes:
  • The master-SNAPSHOT version is the latest commit on the master branch. You can replace it with a specific commit hash or tag.
  • For Kotlin DSL, use url = uri("https://jitpack.io") and implementation(...).
Example usage
importno.birkett.kiwi.*;
publicclassExample {
publicstaticvoidmain(String[] args) {
Solversolver = newSolver();
Variablex = newVariable("x");
Variabley = newVariable("y");
// x = 20solver.addConstraint(Symbolics.equals(x, 20));
// x + 2 == y + 10solver.addConstraint(Symbolics.equals(Symbolics.add(x,2), Symbolics.add(y, 10)));
solver.updateVariables();
System.out.println("x " + x.getValue() + " y " + y.getValue());
// x == 20// y == 12
}
}
Background
This project was created by porting Kiwi line for line to Java. The objective is to create a faster Java implementation of the Cassowary constraint solving algorithm.
History
The initial porting work was done in a weekend in at the end of January 2015 by Alex Birkett without a deep understanding of the Cassowary algorithm.
At that time, the tests ported from the java cassowary project, did not pass.
The project was forgotten about until early 2016 when yonsunCN found it and fixed it.
As of January 2016, the tests ported from java cassowary project now pass.
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A Java port of the Kiwi C++ implementation of the Cassowary constraint solving algorithm
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