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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

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Readme
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1 star

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1 watching

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0 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e 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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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

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1 star

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1 watching

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0 forks
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, '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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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 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 \u003e 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
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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 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" + '
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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 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
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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 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
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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 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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Peg Solitaire

implementation of the game & an automated solver

projects.pascalsommer.ch/pegsolitaire

screenshot of the game

The classic single player game of Peg Solitaire, implemented in Rust for the browser.

This project implements an automated solver that is optimized for the constraints relevant to a WASM application: low RAM and network usage.

Additionally, the techniques that were used to implement the solver are described in a detailed report: projects.pascalsommer.ch/pegsolitaire/precomputing-pegsolitaire-paper.pdf

Project Structure

  • frontend contains the Rust code for rendering the game as a web application.
  • precompute contains Rust code for computing the bloom filters and for running performance evaluations.
  • common is a Rust library crate containing some shared game logic code.
  • report contains the typst source for the paper explaining the method.
  • evaluation contains some Jupyter notebooks to analyze the measurements and generate plots for the report.

Architecture Overview

architecture diagram

Project tasks such as starting up a local dev server, testing, deploying, etc. are done via the just tool.

Make sure to first set up the .env file before deploying.

cp .env.example .env
# now edit .env in your favourite editor
just dev # starts up a local dev server
just test# runs unit tests
just deploy # builds the application and uploads it to the webserver

If you're just trying to get the application to work locally in dev mode, without having to build the bloom filters yourself, you can download the precomputed version from the server:

cd frontend/bloom-filters/
wget "https://projects.pascalsommer.ch/pegsolitaire/bloom-filters/filter_502115651_1_norm.bin"
just dev

About

(ab)using Bloom Filters for RAM-efficient tree search in WASM

projects.pascalsommer.ch/pegsolitaire

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages