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Flake

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - slezakattack/flake: Flake id generator · GitHub
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Flake

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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Flake id generator

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

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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Flake id generator

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); 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 - slezakattack/flake: Flake id generator · GitHub
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Flake

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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Flake id generator

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

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

About

Flake id generator

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, '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) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - slezakattack/flake: Flake id generator · GitHub
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Flake

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

About

Flake id generator

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, '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); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { 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 - slezakattack/flake: Flake id generator · GitHub
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Flake

Generates a Snowflake ID. This implementation is slightly different than the original snowflake ID but still maintains its most important characteristics: 64-bit integer, unique ID generation within a distributed cluster, and timestamp sortable.

Usage

To generate a flake ID, you must explicitly "start" the system. This is separate from the typical BEAM application startup. The flake application needs to know what the assigned machine ID is, as well as how many worker processes to create. You can't create more than 64 workers.

Flake.start(0,20)# assigns a machine id of 0 and creates 20 worker processesFlake.start(0)# assigns a machine id of 0 and defaults to the number of System.schedulers()

After starting up, you can generate a flake ID with:

{:ok,flake}=Flake.get_id(20)

As a performance optimization, you must explicitly request which worker to generate an id. If you started with 20 worker processes, then the valid range is 1 - 20, inclusive. For troubleshooting or general testing, you can get a breakdown of the flake components as a map:

# returns %{time: timestamp, machine_id: machine_id, worker_id: worker_id, counter: counter}components=Flake.get_id(20)|>Flake.get_flake_components()

Installation

The package can be installed by adding flake to your list of dependencies in mix.exs:

defdepsdo[{:flake,"~> 0.1.0"}]end

Implementation

Flake ID's are 64-bit, unsigned integers broken down into four separate components:

NameBits
timestamp34
machine id8
worker id6
counter16

Performance

Performance testing was performed on an Apple M3 Pro, 18GB memory, 11 cores.

Used the following script for testing:

workers=20work=div(1_000_000,workers)Flake.start(1,workers){time,ids}=:timer.tc(fn->ts=forj<-0..(workers-1),do:Task.async(fn->for_i<-1..workdo{:ok,id}=Flake.get_id(j)idendend)fort<-ts,do: Task.await(t)end)

The test consistently yields a result of 0.59 seconds per 1,000,000 ID's, about 1.6 - 1.7 million per second. Theoretically, since no consensus is involved in generating an ID, adding servers would multiply this result. More results will be posted in the future.

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Flake id generator

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