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kdgrass unstableBuild Status

KDBush with flat API, which turns out to be even faster.

npm install kdgrass

constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius

API

let grass = kdgrass(points, nodeSize?)

Creates an index from the given points.

  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);

grass.range(minX, minY, maxX, maxY)

Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.

letresults=index.range(10,10,20,20).map((id)=>points[id]);

grass.within(x, y, radius)

Finds all items within a given radius from the query point and returns an array of indices.

letresults=index.within(10,10,5).map((id)=>points[id]);

See also

  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.

About

A faster static index for 2D points

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Readme
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4 stars

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1 watching

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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
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kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
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4 stars
Watchers
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
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Used by
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, 'i');
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observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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try {
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document.querySelectorAll('a[href]').forEach(function(a) {
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if (node.nodeType === 1) {
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});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
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style.textContent = '
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
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e.preventDefault();
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console.log('[Universal Dark Mode] Disabled');
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - dy/kdgrass: A faster static index for 2D points · GitHub
Skip to content
BranchesTags
Repository files navigation
kdgrass unstableBuild Status
KDBush with flat API, which turns out to be even faster.
npm install kdgrass
constkdgrass=require('kdgrass')letgrass=kdgrass(points);letids1=grass.range(10,10,20,20);// bbox search - minX, minY, maxX, maxYletids2=grass.within(10,10,5);// radius search - x, y, radius
API
let grass = kdgrass(points, nodeSize?)
Creates an index from the given points.
  • points: Input array of points in [x, y, x, y, ...] form.
  • nodeSize: Size of the KD-tree node, 64 by default. Higher means faster indexing but slower search, and vise versa.
letindex=kdgrass(points,64);
grass.range(minX, minY, maxX, maxY)
Finds all items within the given bounding box and returns an array of indices that refer to the items in the original points input array.
letresults=index.range(10,10,20,20).map((id)=>points[id]);
grass.within(x, y, radius)
Finds all items within a given radius from the query point and returns an array of indices.
letresults=index.within(10,10,5).map((id)=>points[id]);
See also
  • kdbush − initial implementation with verbose API.
  • rbush — r-tree implementation with insertion/removal API.
About
A faster static index for 2D points
Resources
Readme
ISC license
Activity
Stars
4 stars
Watchers
1 watching
Forks
0 forks
Report repository
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Used by
Contributors
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