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codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

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Wordle Solver inspired by 3blue1brown

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, '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" + '
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codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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('^' + ".*" + '
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codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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('^' + ".*" + '
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codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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

Repository files navigation

codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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

Repository files navigation

codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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('^' + ".*" + '
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codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

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); } })(); })();
Skip to content

Repository files navigation

codecov

Original version live-coded on YouTube.

The implemented algorithm is almost exactly what was outlined (and very well explained) in this 3blue1brown video.

Please do tinker with it and see how much you can push it — there's almost certainly gains to be had! I've also left some TODOs from the 3b1b algorithm that should improve the guesses a fair bit. It'd also be really neat to add in a mode for computing the first word by computing multiple levels of expected information (again, like 3b1b), instead of just hard-coding it like we do at the moment.

Dataset

If you want to remake dictionary.txt yourself, first, make corpus/wordle.txt by grabbing the words from the Wordle source code (that's also how you get answers.txt). Then, grab the ngram dataset by downloading these. Then run:

cd corpus
cargo r --release /path/to/1-*-of-00024.gz | tee ../dictionary.txt

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

About

Wordle Solver inspired by 3blue1brown

Resources

Stars

238 stars

Watchers

4 watching

Forks

Releases

Packages

Used by

Contributors

Languages