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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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, '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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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, '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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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, '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('^' + ".*" + '
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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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, '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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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, '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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CTPL

Modern and efficient C++ Thread Pool Library

A thread pool is a programming pattern for parallel execution of jobs, http://en.wikipedia.org/wiki/Thread_pool_pattern.

More specifically, there are some threads dedicated to the pool and a container of jobs. The jobs come to the pool dynamically. A job is fetched and deleted from the container when there is an idle thread. The job is then run on that thread.

A thread pool is helpful when you want to minimize time of loading and destroying threads and when you want to limit the number of parallel jobs that run simultanuasly. For example, time consuming event handlers may be processed in a thread pool to make UI more responsive.

Features:

  • standard c++ language, tested to compile on MS Visual Studio 2013 (2012?), gcc 4.8.2 and mingw 4.8.1(with posix threads)
  • simple but effiecient solution, one header only, no need to compile a binary library
  • query the number of idle threads and resize the pool dynamically
  • one API to push to the thread pool any collable object: lambdas, functors, functions, result of bind expression
  • collable objects with variadic number of parameters plus index of the thread running the object
  • automatic template argument deduction
  • get returned value of any type with standard c++ futures
  • get fired exceptions with standard c++ futures
  • use for any purpose under Apache license
  • two variants, one depends on Boost Lockfree Queue library, http://boost.org, which is a header only library

Sample usage

void first(int id) { std::cout << "hello from " << id << '\n'; }

struct Second { void operator()(int id) const { std::cout << "hello from " << id << '\n'; } } second;

void third(int id, const std::string & additional_param) {}

int main () {

ctpl::thread_pool p(2 /* two threads in the pool */);

p.push(first); // function

p.push(third, "additional_param");

p.push( [] (int id){ std::cout << "hello from " << id << '\n'; }); // lambda

p.push(std::ref(second)); // functor, reference

p.push(const_cast<const Second &>(second)); // functor, copy ctor

p.push(std::move(second)); // functor, move ctor

}

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Modern and efficient C++ Thread Pool Library

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