2317 lines
2.1 MiB
2317 lines
2.1 MiB
<!DOCTYPE html>
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<!-- Created by pdf2htmlEX (https://github.com/pdf2htmlEX/pdf2htmlEX) -->
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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<meta charset="utf-8"/>
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<meta name="generator" content="pdf2htmlEX"/>
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<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
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<style type="text/css">
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/*!
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* Base CSS for pdf2htmlEX
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* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
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* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.pc.opened{display:block}.bf{position:absolute;border:0;margin:0;top:0;bottom:0;width:100%;height:100%;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}.bi{position:absolute;border:0;margin:0;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}@media print{.pf{margin:0;box-shadow:none;page-break-after:always;page-break-inside:avoid}@-moz-document url-prefix(){.pf{overflow:visible;border:1px solid #fff}.pc{overflow:visible}}}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}::selection{background:rgba(127,255,255,0.4)}::-moz-selection{background:rgba(127,255,255,0.4)}.pi{display:none}.d{position:absolute;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%}.it{border:0;background-color:rgba(255,255,255,0.0)}.ir:hover{cursor:pointer}</style>
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<style type="text/css">
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/*!
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* Fancy styles for pdf2htmlEX
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* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
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* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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*/@keyframes fadein{from{opacity:0}to{opacity:1}}@-webkit-keyframes fadein{from{opacity:0}to{opacity:1}}@keyframes swing{0{transform:rotate(0)}10%{transform:rotate(0)}90%{transform:rotate(720deg)}100%{transform:rotate(720deg)}}@-webkit-keyframes swing{0{-webkit-transform:rotate(0)}10%{-webkit-transform:rotate(0)}90%{-webkit-transform:rotate(720deg)}100%{-webkit-transform:rotate(720deg)}}@media screen{#sidebar{background-color:#2f3236;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+")}#outline{font-family:Georgia,Times,"Times New Roman",serif;font-size:13px;margin:2em 1em}#outline ul{padding:0}#outline li{list-style-type:none;margin:1em 0}#outline li>ul{margin-left:1em}#outline a,#outline a:visited,#outline a:hover,#outline a:active{line-height:1.2;color:#e8e8e8;text-overflow:ellipsis;white-space:nowrap;text-decoration:none;display:block;overflow:hidden;outline:0}#outline a:hover{color:#0cf}#page-container{background-color:#9e9e9e;background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1IiBoZWlnaHQ9IjUiPgo8cmVjdCB3aWR0aD0iNSIgaGVpZ2h0PSI1IiBmaWxsPSIjOWU5ZTllIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDVMNSAwWk02IDRMNCA2Wk0tMSAxTDEgLTFaIiBzdHJva2U9IiM4ODgiIHN0cm9rZS13aWR0aD0iMSI+PC9wYXRoPgo8L3N2Zz4=");-webkit-transition:left 500ms;transition:left 500ms}.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}.pc.opened{-webkit-animation:fadein 100ms;animation:fadein 100ms}.loading-indicator.active{-webkit-animation:swing 1.5s ease-in-out .01s infinite alternate none;animation:swing 1.5s ease-in-out .01s infinite alternate none}.checked{background:no-repeat url(data:image/png;base64,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)}}</style>
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<style type="text/css">
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.ff0{font-family:sans-serif;visibility:hidden;}
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<script>
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/*
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Copyright 2012 Mozilla Foundation
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Copyright 2013 Lu Wang <coolwanglu@gmail.com>
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Apachine License Version 2.0
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*/
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(function(){function b(a,b,e,f){var c=(a.className||"").split(/\s+/g);""===c[0]&&c.shift();var d=c.indexOf(b);0>d&&e&&c.push(b);0<=d&&f&&c.splice(d,1);a.className=c.join(" ");return 0<=d}if(!("classList"in document.createElement("div"))){var e={add:function(a){b(this.element,a,!0,!1)},contains:function(a){return b(this.element,a,!1,!1)},remove:function(a){b(this.element,a,!1,!0)},toggle:function(a){b(this.element,a,!0,!0)}};Object.defineProperty(HTMLElement.prototype,"classList",{get:function(){if(this._classList)return this._classList;
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<script>
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(function(){/*
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pdf2htmlEX.js: Core UI functions for pdf2htmlEX
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Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com> and other contributors
|
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https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
|
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*/
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var pdf2htmlEX=window.pdf2htmlEX=window.pdf2htmlEX||{},CSS_CLASS_NAMES={page_frame:"pf",page_content_box:"pc",page_data:"pi",background_image:"bi",link:"l",input_radio:"ir",__dummy__:"no comma"},DEFAULT_CONFIG={container_id:"page-container",sidebar_id:"sidebar",outline_id:"outline",loading_indicator_cls:"loading-indicator",preload_pages:3,render_timeout:100,scale_step:0.9,key_handler:!0,hashchange_handler:!0,view_history_handler:!0,__dummy__:"no comma"},EPS=1E-6;
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function invert(a){var b=a[0]*a[3]-a[1]*a[2];return[a[3]/b,-a[1]/b,-a[2]/b,a[0]/b,(a[2]*a[5]-a[3]*a[4])/b,(a[1]*a[4]-a[0]*a[5])/b]}function transform(a,b){return[a[0]*b[0]+a[2]*b[1]+a[4],a[1]*b[0]+a[3]*b[1]+a[5]]}function get_page_number(a){return parseInt(a.getAttribute("data-page-no"),16)}function disable_dragstart(a){for(var b=0,c=a.length;b<c;++b)a[b].addEventListener("dragstart",function(){return!1},!1)}
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function clone_and_extend_objs(a){for(var b={},c=0,e=arguments.length;c<e;++c){var h=arguments[c],d;for(d in h)h.hasOwnProperty(d)&&(b[d]=h[d])}return b}
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pdf2htmlEX.Viewer=Viewer;})();
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</script>
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<script>
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try{
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pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({});
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}catch(e){}
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</script>
|
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<title></title>
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</head>
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<body>
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<div id="sidebar">
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<div id="outline">
|
||
<ul><li><a class="l" href="#pf7" data-dest-detail='[7,"XYZ",28.346,255.118,null]'>I/O Stream</a><ul><li><a class="l" href="#pf9" data-dest-detail='[9,"XYZ",28.346,195.791,null]'>Manipulator</a></li><li><a class="l" href="#pfd" data-dest-detail='[13,"XYZ",28.346,228.21,null]'>ofstream/ifstream</a></li></ul></li><li><a class="l" href="#pf15" data-dest-detail='[21,"XYZ",28.346,255.118,null]'>Strings and std::print</a><ul><li><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",28.346,228.21,null]'>std::string</a></li><li><a class="l" href="#pf1a" data-dest-detail='[26,"XYZ",28.346,228.21,null]'>Conversion from/to Numeric Values</a></li><li><a class="l" href="#pf1d" data-dest-detail='[29,"XYZ",28.346,228.21,null]'>std::string_view</a></li><li><a class="l" href="#pf20" data-dest-detail='[32,"XYZ",28.346,214.488,null]'>std::format</a></li><li><a class="l" href="#pf22" data-dest-detail='[34,"XYZ",28.346,228.21,null]'>std::print</a></li></ul></li><li><a class="l" href="#pf23" data-dest-detail='[35,"XYZ",28.346,255.118,null]'>View</a><ul><li><a class="l" href="#pf24" data-dest-detail='[36,"XYZ",28.346,211.557,null]'>std::span</a></li></ul></li><li><a class="l" href="#pf27" data-dest-detail='[39,"XYZ",28.346,255.118,null]'>Math Libraries</a><ul><li><a class="l" href="#pf28" data-dest-detail='[40,"XYZ",28.346,228.21,null]'><cmath> Math Library</a></li><li><a class="l" href="#pf2a" data-dest-detail='[42,"XYZ",28.346,220.317,null]'><limits> Numerical Limits</a></li><li><a class="l" href="#pf2b" data-dest-detail='[43,"XYZ",28.346,196.202,null]'><numbers> Mathematical Constants</a></li></ul></li><li><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",28.346,255.118,null]'>Random Number</a><ul><li><a class="l" href="#pf30" data-dest-detail='[48,"XYZ",28.346,228.21,null]'>Basic Concepts</a></li><li><a class="l" href="#pf31" data-dest-detail='[49,"XYZ",28.346,228.21,null]'>C++ <random></a></li><li><a class="l" href="#pf33" data-dest-detail='[51,"XYZ",28.346,228.21,null]'>Seed</a></li><li><a class="l" href="#pf37" data-dest-detail='[55,"XYZ",28.346,228.21,null]'>PRNG Period and Quality</a></li><li><a class="l" href="#pf3c" data-dest-detail='[60,"XYZ",28.346,228.21,null]'>Distribution</a></li><li><a class="l" href="#pf3e" data-dest-detail='[62,"XYZ",28.346,228.21,null]'>Recent Algorithms and Performance</a></li><li><a class="l" href="#pf40" data-dest-detail='[64,"XYZ",28.346,197.409,null]'>Quasi-random</a></li></ul></li><li><a class="l" href="#pf42" data-dest-detail='[66,"XYZ",28.346,255.118,null]'>Time Measuring</a><ul><li><a class="l" href="#pf45" data-dest-detail='[69,"XYZ",28.346,228.21,null]'>Wall-Clock Time</a></li><li><a class="l" href="#pf48" data-dest-detail='[72,"XYZ",28.346,213.177,null]'>User Time</a></li><li><a class="l" href="#pf49" data-dest-detail='[73,"XYZ",28.346,224.312,null]'>System Time</a></li></ul></li><li><a class="l" href="#pf4a" data-dest-detail='[74,"XYZ",28.346,255.118,null]'>Std Classes</a><ul><li><a class="l" href="#pf4b" data-dest-detail='[75,"XYZ",28.346,228.21,null]'>std::pair</a></li><li><a class="l" href="#pf4d" data-dest-detail='[77,"XYZ",28.346,228.21,null]'>std::tuple</a></li><li><a class="l" href="#pf50" data-dest-detail='[80,"XYZ",28.346,228.21,null]'>std::variant</a></li><li><a class="l" href="#pf53" data-dest-detail='[83,"XYZ",28.346,228.21,null]'>std::optional</a></li><li><a class="l" href="#pf55" data-dest-detail='[85,"XYZ",28.346,228.21,null]'>std::any</a></li><li><a class="l" href="#pf56" data-dest-detail='[86,"XYZ",28.346,228.21,null]'>std::stacktrace</a></li></ul></li><li><a class="l" href="#pf58" data-dest-detail='[88,"XYZ",28.346,255.118,null]'>Filesystem Library</a><ul><li><a class="l" href="#pf5d" data-dest-detail='[93,"XYZ",28.346,228.21,null]'>Query Methods</a></li><li><a class="l" href="#pf5f" data-dest-detail='[95,"XYZ",28.346,228.21,null]'>Modify Methods</a></li></ul></li></ul></div>
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class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">T<span class="_ _5"></span>able<span class="_ _6"> </span>of<span class="_ _6"> </span>Contents</div><div class="t m0 x5 h7 y7 ff1 fs3 fc2 sc0 ls0 ws0">1<span class="_ _7"> </span><span class="fs4 fc0">I/O<span class="_ _8"> </span>Stream</span></div><div class="t m0 x6 h5 y8 ff4 fs3 fc0 sc0 ls0 ws0">Manipulato<span class="_ _3"></span>r</div><div class="t m0 x6 h8 y9 ff5 fs3 fc0 sc0 ls0 ws0">ofstream/ifstream</div><div class="t m0 x5 h7 ya ff1 fs3 fc2 sc0 ls0 ws0">2<span class="_ _7"> </span><span class="fs4 fc0">Strings<span class="_ _8"> </span>and<span class="_ _8"> </span>std::p<span class="_ _3"></span>rint</span></div><div class="t m0 x6 h8 yb ff5 fs3 fc0 sc0 ls0 ws0">std::string</div><div class="t m0 x6 h5 yc ff4 fs3 fc0 sc0 ls0 ws0">Conversion<span class="_ _9"> </span>from/to<span class="_ _9"> </span>Numeric<span class="_ _9"> </span>V<span class="_ _3"></span>alues</div><div class="t m0 x6 h8 yd ff5 fs3 fc0 sc0 ls0 ws0">std::string_view</div><div class="t m0 x6 h8 ye ff5 fs3 fc0 sc0 ls0 ws0">std::format</div><div class="t m0 x6 h8 yf ff5 fs3 fc0 sc0 ls0 ws0">std::print</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">1/87</div><a class="l" href="#pf7" data-dest-detail='[7,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:197.953000px;width:78.486000px;height:16.145000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf9" data-dest-detail='[9,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:180.400000px;width:52.193000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pfd" data-dest-detail='[13,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:162.327000px;width:90.909000px;height:9.620000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf15" data-dest-detail='[21,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:129.485000px;width:140.834000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:110.915000px;width:59.526000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1a" data-dest-detail='[26,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:91.378000px;width:151.792000px;height:11.821000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1d" data-dest-detail='[29,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:72.509000px;width:85.678000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf20" data-dest-detail='[32,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:55.463000px;width:59.526000px;height:7.966000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf22" data-dest-detail='[34,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:34.103000px;width:54.296000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">T<span class="_ _5"></span>able<span class="_ _6"> </span>of<span class="_ _6"> </span>Contents</div><div class="t m0 x5 h7 y11 ff1 fs3 fc2 sc0 ls0 ws0">3<span class="_ _7"> </span><span class="fs4 fc0">View</span></div><div class="t m0 x6 h8 y12 ff5 fs3 fc0 sc0 ls0 ws0">std::span</div><div class="t m0 x5 h7 y13 ff1 fs3 fc2 sc0 ls0 ws0">4<span class="_ _7"> </span><span class="fs4 fc0">Math<span class="_ _8"> </span>Lib<span class="_ _3"></span>ra<span class="_ _3"></span>ries</span></div><div class="t m0 x6 h5 y14 ff7 fs3 fc0 sc0 ls0 ws0"><cmath><span class="_ _9"> </span><span class="ff4">Math<span class="_ _9"> </span>Lib<span class="_ _3"></span>rary</span></div><div class="t m0 x6 h5 y15 ff5 fs3 fc0 sc0 ls0 ws0"><limits><span class="_ _9"> </span><span class="ff4">Numerical<span class="_ _9"> </span>Limits</span></div><div class="t m0 x6 h5 y16 ff7 fs3 fc0 sc0 ls0 ws0"><numbers><span class="_ _9"> </span><span class="ff4">Mathematical<span class="_ _9"> </span>Constants</span></div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">2/87</div><a class="l" href="#pf23" data-dest-detail='[35,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:181.198000px;width:34.191000px;height:13.782000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf24" data-dest-detail='[36,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:161.664000px;width:49.066000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf27" data-dest-detail='[39,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:109.836000px;width:97.088000px;height:13.781000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf28" data-dest-detail='[40,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:90.522000px;width:96.056000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2a" data-dest-detail='[42,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:73.256000px;width:117.891000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf2b" data-dest-detail='[43,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:54.053000px;width:153.922000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">T<span class="_ _5"></span>able<span class="_ _6"> </span>of<span class="_ _6"> </span>Contents</div><div class="t m0 x5 h7 y17 ff1 fs3 fc2 sc0 ls0 ws0">5<span class="_ _7"> </span><span class="fs4 fc0">Random<span class="_ _8"> </span>Numb<span class="_ _a"></span>er</span></div><div class="t m0 x6 h5 y18 ff4 fs3 fc0 sc0 ls0 ws0">Basic<span class="_ _9"> </span>Concepts</div><div class="t m0 x6 h5 y19 ff4 fs3 fc0 sc0 ls0 ws0">C++<span class="_ _9"> </span><span class="ff5"><random></span></div><div class="t m0 x6 h5 y1a ff4 fs3 fc0 sc0 ls0 ws0">Seed</div><div class="t m0 x6 h5 y1b ff4 fs3 fc0 sc0 ls0 ws0">PRNG<span class="_ _9"> </span>P<span class="_ _3"></span>erio<span class="_ _a"></span>d<span class="_ _9"> </span>and<span class="_ _9"> </span>Qualit<span class="_ _3"></span>y</div><div class="t m0 x6 h5 y1c ff4 fs3 fc0 sc0 ls0 ws0">Distribution</div><div class="t m0 x6 h5 y1d ff4 fs3 fc0 sc0 ls0 ws0">Recent<span class="_ _9"> </span>Algo<span class="_ _3"></span>rithms<span class="_ _9"> </span>and<span class="_ _9"> </span>Perfo<span class="_ _3"></span>rmance</div><div class="t m0 x6 h5 y1e ff4 fs3 fc0 sc0 ls0 ws0">Quasi-random</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">3/87</div><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:184.545000px;width:114.332000px;height:13.782000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf30" data-dest-detail='[48,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:165.232000px;width:65.283000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf31" data-dest-detail='[49,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:147.139000px;width:69.019000px;height:9.738000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf33" data-dest-detail='[51,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:128.763000px;width:21.530000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf37" data-dest-detail='[55,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:107.623000px;width:110.184000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf3c" data-dest-detail='[60,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:90.357000px;width:51.169000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf3e" data-dest-detail='[62,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:69.217000px;width:152.249000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf40" data-dest-detail='[64,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:50.706000px;width:60.163000px;height:10.157000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">T<span class="_ _5"></span>able<span class="_ _6"> </span>of<span class="_ _6"> </span>Contents</div><div class="t m0 x5 h7 y1f ff1 fs3 fc2 sc0 ls0 ws0">6<span class="_ _7"> </span><span class="fs4 fc0">Time<span class="_ _8"> </span>Measuring</span></div><div class="t m0 x6 h5 y20 ff4 fs3 fc0 sc0 ls0 ws0">W<span class="_ _3"></span>all-Clo<span class="_ _a"></span>ck<span class="_ _9"> </span>Time</div><div class="t m0 x6 h5 y21 ff4 fs3 fc0 sc0 ls0 ws0">User<span class="_ _9"> </span>Time</div><div class="t m0 x6 h5 y22 ff4 fs3 fc0 sc0 ls0 ws0">System<span class="_ _9"> </span>Time</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">4/87</div><a class="l" href="#pf42" data-dest-detail='[66,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:145.522000px;width:109.142000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf45" data-dest-detail='[69,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:129.109000px;width:72.118000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf48" data-dest-detail='[72,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:109.906000px;width:45.316000px;height:8.911000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf49" data-dest-detail='[73,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:88.766000px;width:56.704000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf6" class="pf w0 h0" data-page-no="6"><div class="pc pc6 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">T<span class="_ _5"></span>able<span class="_ _6"> </span>of<span class="_ _6"> </span>Contents</div><div class="t m0 x5 h7 y23 ff1 fs3 fc2 sc0 ls0 ws0">7<span class="_ _7"> </span><span class="fs4 fc0">Std<span class="_ _8"> </span>Classes</span></div><div class="t m0 x6 h8 y24 ff5 fs3 fc0 sc0 ls0 ws0">std::pair</div><div class="t m0 x6 h8 y25 ff5 fs3 fc0 sc0 ls0 ws0">std::tuple</div><div class="t m0 x6 h8 y26 ff5 fs3 fc0 sc0 ls0 ws0">std::variant</div><div class="t m0 x6 h8 y27 ff5 fs3 fc0 sc0 ls0 ws0">std::optional</div><div class="t m0 x6 h8 y28 ff5 fs3 fc0 sc0 ls0 ws0">std::any</div><div class="t m0 x6 h8 y29 ff5 fs3 fc0 sc0 ls0 ws0">std::stacktrace</div><div class="t m0 x5 h7 y2a ff1 fs3 fc2 sc0 ls0 ws0">8<span class="_ _7"> </span><span class="fs4 fc0">Filesystem<span class="_ _8"> </span>Lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry</span></div><div class="t m0 x6 h5 y2b ff4 fs3 fc0 sc0 ls0 ws0">Query<span class="_ _9"> </span>Metho<span class="_ _a"></span>ds</div><div class="t m0 x6 h5 y2c ff4 fs3 fc0 sc0 ls0 ws0">Mo<span class="_ _a"></span>dify<span class="_ _9"> </span>Methods</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">5/87</div><a class="l" href="#pf4a" data-dest-detail='[74,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:205.298000px;width:76.628000px;height:13.781000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf4b" data-dest-detail='[75,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:185.764000px;width:49.066000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf4d" data-dest-detail='[77,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:166.561000px;width:54.296000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf50" data-dest-detail='[80,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:149.515000px;width:64.757000px;height:7.966000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf53" data-dest-detail='[83,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:128.155000px;width:69.987000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf55" data-dest-detail='[85,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:108.952000px;width:43.835000px;height:10.123000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf56" data-dest-detail='[86,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:91.906000px;width:80.448000px;height:7.966000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf58" data-dest-detail='[88,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:64.046000px;width:120.073000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf5d" data-dest-detail='[93,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:45.695000px;width:66.334000px;height:10.849000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf5f" data-dest-detail='[95,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:26.493000px;width:70.568000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf7" class="pf w0 h0" data-page-no="7"><div class="pc pc7 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 y2d ff1 fs0 fc0 sc0 ls0 ws0">I/O<span class="_ _1"> </span>Stream</div><a class="l" href="#pf7" data-dest-detail='[7,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:130.534000px;width:134.156000px;height:26.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf8" class="pf w0 h0" data-page-no="8"><div class="pc pc8 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream</div><div class="t m0 x9 ha y2e ff5 fs6 fc0 sc0 ls0 ws0"><iostream><span class="_ _b"> </span><span class="ff4">input/output<span class="_ _c"> </span>lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry<span class="_ _c"> </span>refers<span class="_ _c"> </span>to<span class="_ _c"> </span>a<span class="_ _c"> </span>family<span class="_ _c"> </span>of<span class="_ _c"> </span>classes<span class="_ _c"> </span>and<span class="_ _c"> </span>supp<span class="_ _a"></span>o<span class="_ _3"></span>rting</span></div><div class="t m0 x1 ha y2f ff4 fs6 fc0 sc0 ls0 ws0">functions<span class="_ _c"> </span>in<span class="_ _c"> </span>the<span class="_ _c"> </span>C++<span class="_ _c"> </span>Standa<span class="_ _3"></span>rd<span class="_ _c"> </span>Lib<span class="_ _3"></span>rary<span class="_ _9"> </span>that<span class="_ _c"> </span>implement<span class="_ _c"> </span>stream-based<span class="_ _c"> </span>input/output</div><div class="t m0 x1 ha y30 ff4 fs6 fc0 sc0 ls0 ws0">capabilities</div><div class="t m0 x1 ha y31 ff4 fs6 fc0 sc0 ls0 ws0">There<span class="_ _c"> </span>a<span class="_ _3"></span>re<span class="_ _c"> </span>four<span class="_ _c"> </span>p<span class="_ _3"></span>redefined<span class="_ _c"> </span>iostreams:</div><div class="t m0 xa ha y32 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">cin<span class="_ _b"> </span></span><span class="ff4">standa<span class="_ _3"></span>rd<span class="_ _c"> </span>input<span class="_ _c"> </span>(<span class="ff7">stdin</span>)</span></div><div class="t m0 xa ha y33 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">cout<span class="_ _b"> </span></span><span class="ff4">standa<span class="_ _3"></span>rd<span class="_ _c"> </span>output<span class="_ _c"> </span>(<span class="ff7">stdout</span>)<span class="_ _c"> </span>[buffered]</span></div><div class="t m0 xa ha y34 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">cerr<span class="_ _b"> </span></span><span class="ff4">standa<span class="_ _3"></span>rd<span class="_ _c"> </span>erro<span class="_ _3"></span>r<span class="_ _c"> </span>(<span class="ff7">stderr</span>)<span class="_ _c"> </span>[unbuffered]</span></div><div class="t m0 xa ha y35 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">clog<span class="_ _b"> </span></span><span class="ff4">standa<span class="_ _3"></span>rd<span class="_ _c"> </span>erro<span class="_ _3"></span>r<span class="_ _c"> </span>(<span class="ff7">stderr</span>)<span class="_ _c"> </span>[buffered]</span></div><div class="t m0 x1 ha y36 ff4 fs6 fc0 sc0 ls0 ws0">buffered:<span class="_ _e"> </span>the<span class="_ _c"> </span>content<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>buffer<span class="_ _c"> </span>is<span class="_ _c"> </span>not<span class="_ _c"> </span>written<span class="_ _c"> </span>to<span class="_ _c"> </span>disk<span class="_ _c"> </span>until<span class="_ _c"> </span>some<span class="_ _c"> </span>events<span class="_ _c"> </span>o<span class="_ _a"></span>ccur</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">6/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf9" class="pf w0 h0" data-page-no="9"><div class="pc pc9 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span><span class="fs3">(manipulato<span class="_ _3"></span>r)<span class="_ _f"> </span><span class="fs2">1/3</span></span></div><div class="t m0 x1 ha y37 ff4 fs6 fc0 sc0 ls0 ws0">Basic<span class="_ _c"> </span>I/O<span class="_ _c"> </span>Stream<span class="_ _c"> </span>manipulato<span class="_ _3"></span>r:</div><div class="t m0 xa ha y38 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">flush<span class="_ _b"> </span></span><span class="ff4">flushes<span class="_ _c"> </span>the<span class="_ _c"> </span>output<span class="_ _c"> </span>stream<span class="_ _b"> </span><span class="ff9 fs7">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>flush;</span></span></div><div class="t m0 xa ha y39 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">endl<span class="_ _b"> </span></span><span class="ff4">sho<span class="_ _3"></span>rtcut<span class="_ _c"> </span>fo<span class="_ _3"></span>r<span class="_ _b"> </span><span class="ff9 fs7">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>"\n"<span class="_"> </span><span class="ffa">≪<span class="_ _6"> </span></span>flush;</span></span></div><div class="t m0 xb hb y3a ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>endl</div><div class="t m0 xa ha y3b ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fc3">flush<span class="_ _b"> </span></span><span class="ff4">and<span class="_ _b"> </span><span class="ff7 fc3">endl<span class="_ _b"> </span></span>fo<span class="_ _3"></span>rce<span class="_ _c"> </span>the<span class="_ _c"> </span>p<span class="_ _3"></span>rogram<span class="_ _c"> </span>to<span class="_ _c"> </span>synchronize<span class="_ _c"> </span>with<span class="_ _c"> </span>the<span class="_ _c"> </span>terminal<span class="_ _c"> </span><span class="ffb">→<span class="_ _c"> </span></span>very</span></div><div class="t m0 x6 ha y3c ff4 fs6 fc0 sc0 ls0 ws0">slo<span class="_ _3"></span>w<span class="_ _c"> </span>op<span class="_ _a"></span>eration!</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">7/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pfa" class="pf w0 h0" data-page-no="a"><div class="pc pca w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span><span class="fs3">(manipulato<span class="_ _3"></span>r)<span class="_ _f"> </span><span class="fs2">2/3</span></span></div><div class="t m0 xa ha y3d ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Set<span class="_ _6"> </span>integral<span class="_ _c"> </span>representation<span class="ff4">:<span class="_ _e"> </span><span class="fc4">default:<span class="_ _e"> </span>dec</span></span></span></div><div class="t m0 xb hc y3e ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">dec<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span>0xF;<span class="_ _10"> </span><span class="ffc">p<span class="_ _3"></span>rints<span class="_ _9"> </span><span class="ff9">16</span></span></div><div class="t m0 xb hc y3f ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">hex<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span>16;<span class="_ _10"> </span><span class="ffc">p<span class="_ _3"></span>rints<span class="_ _9"> </span><span class="ff9">0xF</span></span></div><div class="t m0 xb hc y40 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">oct<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span>8;<span class="_ _10"> </span><span class="ffc">p<span class="_ _3"></span>rints<span class="_ _9"> </span><span class="ff9">10</span></span></div><div class="t m0 xa ha y41 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Print<span class="_ _c"> </span>the<span class="_ _c"> </span>underlying<span class="_ _4"> </span><span class="ff1">bit<span class="_ _4"> </span>representation<span class="_ _9"> </span></span>of<span class="_ _c"> </span>a<span class="_ _c"> </span>value:</span></div><div class="t m0 xb hb y42 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><bitset></span></div><div class="t m0 xb hb y43 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>bitset<span class="fc7"><32></span>(<span class="fc7">3.45f</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>(32:<span class="_ _6"> </span>num.<span class="_ _e"> </span>of<span class="_ _e"> </span>bits)</span></div><div class="t m0 xb hb y44 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>print<span class="_ _6"> </span>01000000010111001100110011001101</div><div class="t m0 xc ha y45 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs6">Print<span class="_ _6"> </span>true/false<span class="_ _c"> </span>text<span class="ff4">:</span></span></div><div class="t m0 xb hc y46 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">boolalpha<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span>1;<span class="_ _11"> </span><span class="ffc">p<span class="_ _3"></span>rints<span class="_ _9"> </span><span class="ff9">true</span></span></div><div class="t m0 xb hc y47 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">boolalpha<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span>0;<span class="_ _11"> </span><span class="ffc">p<span class="_ _3"></span>rints<span class="_ _9"> </span><span class="ff9">false</span></span></div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">8/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pfb" class="pf w0 h0" data-page-no="b"><div class="pc pcb w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span><span class="fs3">(manipulato<span class="_ _3"></span>r)<span class="_ _f"> </span><span class="fs2">3/3</span></span></div><div class="t m0 x9 hd y48 ff5 fs6 fc0 sc0 ls0 ws0"><iomanip></div><div class="t m0 xa ha y49 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Set<span class="_ _6"> </span>decimal<span class="_ _c"> </span>precision<span class="ff4">:<span class="_ _e"> </span><span class="fc4">default:<span class="_ _e"> </span>6</span></span></span></div><div class="t m0 xd hb y4a ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">setprecision</span>(2)<span class="_"> </span><span class="ffa">≪<span class="_ _6"> </span></span>3.538;<span class="_ _9"> </span><span class="ffa">→<span class="_ _12"> </span></span>3.54</div><div class="t m0 xa ha y4b ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Set<span class="_ _6"> </span>float<span class="_ _c"> </span>representation<span class="ff4">:<span class="_ _e"> </span><span class="fc4">default:<span class="_ _e"> </span><span class="ff7">std::defaultfloat</span></span></span></span></div><div class="t m0 xb hb y4c ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>setprecision(2)<span class="_"> </span><span class="ffa">≪<span class="_ _6"> </span></span><span class="fc3">fixed<span class="_"> </span></span><span class="ffa">≪<span class="_ _e"> </span></span>32.5;<span class="_ _10"> </span><span class="ffa">→<span class="_ _12"> </span></span>32.50</div><div class="t m0 xb hb y4d ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>setprecision(2)<span class="_"> </span><span class="ffa">≪<span class="_ _6"> </span></span><span class="fc3">scientific<span class="_"> </span></span><span class="ffa">≪<span class="_ _e"> </span></span>32.5;<span class="_ _10"> </span><span class="ffa">→<span class="_ _12"> </span></span>3.25e+01</div><div class="t m0 xa ha y4e ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Set<span class="_ _6"> </span>alignment<span class="ff4">:<span class="_ _e"> </span><span class="fc4">default:<span class="_ _e"> </span>right</span></span></span></div><div class="t m0 xb hb y4f ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">right<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span><span class="fc3">setw</span>(7)<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>"abc"<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>"##";<span class="_ _13"> </span><span class="ffa">→<span class="_ _12"> </span></span>␣␣␣␣abc##</div><div class="t m0 xb hb y50 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span><span class="fc3">left<span class="_"> </span></span><span class="ffa">≪<span class="_ _6"> </span></span><span class="fc3">setw</span>(7)<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>"abc"<span class="_"> </span><span class="ffa">≪<span class="_ _e"> </span></span>"##";<span class="_ _13"> </span><span class="ffa">→<span class="_ _14"> </span></span>abc␣␣␣␣##</div><div class="t m0 x6 hc y51 ffc fs7 fc0 sc0 ls0 ws0">(b<span class="_ _a"></span>etter<span class="_ _12"> </span>than<span class="_ _12"> </span>using<span class="_ _9"> </span><span class="ff9">tab<span class="_ _12"> </span>\t</span>)</div><div class="t m0 x7 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">9/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pfc" class="pf w0 h0" data-page-no="c"><div class="pc pcc w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span><span class="ff5">std::cin</span></div><div class="t m0 x9 h5 y52 ff7 fs3 fc3 sc0 ls0 ws0">std::cin<span class="_ _10"> </span><span class="ff4 fc0">is<span class="_ _9"> </span>an<span class="_ _9"> </span>example<span class="_ _9"> </span>of<span class="_ _9"> </span><span class="fff">input<span class="_ _4"> </span></span>stream.<span class="_ _6"> </span>Data<span class="_ _9"> </span>coming<span class="_ _9"> </span>from<span class="_ _9"> </span>a<span class="_ _9"> </span>source<span class="_ _9"> </span>is<span class="_ _9"> </span>read<span class="_ _9"> </span>by<span class="_ _12"> </span>the<span class="_ _9"> </span>program.</span></div><div class="t m0 x1 h5 y53 ff4 fs3 fc0 sc0 ls0 ws0">In<span class="_ _9"> </span>this<span class="_ _9"> </span>example<span class="_ _10"> </span><span class="ff7">cin<span class="_ _10"> </span></span>is<span class="_ _9"> </span>the<span class="_ _9"> </span>standard<span class="_ _9"> </span>input</div><div class="t m0 x9 hb y54 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><iostream></span></div><div class="t m0 x9 hb y55 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb y56 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">a;</span></div><div class="t m0 x6 hb y57 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"Please<span class="_"> </span>enter<span class="_"> </span>an<span class="_"> </span>integer<span class="_"> </span>value:"<span class="_"> </span></span><<<span class="_"> </span></span>endl;</div><div class="t m0 x6 hb y58 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>a;</div><div class="t m0 x6 hb y59 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">b;</span></div><div class="t m0 x6 hb y5a ff5 fs7 fc8 sc0 ls0 ws0">float<span class="_ _e"> </span><span class="ff9 fc0">c;</span></div><div class="t m0 x6 hb y5b ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"Please<span class="_"> </span>enter<span class="_"> </span>an<span class="_"> </span>integer<span class="_"> </span>value<span class="_"> </span>"</span></span></div><div class="t m0 xe hb y5c ff9 fs7 fc7 sc0 ls0 ws0"><<<span class="_"> </span><span class="fc9">"followed<span class="_"> </span>by<span class="_"> </span>a<span class="_"> </span>float<span class="_"> </span>value:"<span class="_"> </span></span><<<span class="_"> </span><span class="fc0">endl;</span></div><div class="t m0 x6 hb y5d ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>b<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>c;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>read<span class="_ _6"> </span>an<span class="_ _e"> </span>integer<span class="_ _e"> </span>and<span class="_ _6"> </span>store<span class="_ _e"> </span>into<span class="_ _e"> </span>"b",</span></div><div class="t m0 x9 hb y5e ff9 fs7 fc0 sc0 ls0 ws0">}<span class="_ _15"> </span><span class="ffd fc6">//<span class="_ _e"> </span>then<span class="_ _6"> </span>read<span class="_ _e"> </span>a<span class="_ _e"> </span>float<span class="_ _6"> </span>value,<span class="_ _e"> </span>and<span class="_ _e"> </span>store</span></div><div class="t m0 xf hb y5f ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>into<span class="_ _6"> </span>"c"</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">10/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pfd" class="pf w0 h0" data-page-no="d"><div class="pc pcd w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span><span class="ff5">ofstream/ifstream<span class="_ _16"> </span></span>1/3</div><div class="t m0 x9 ha y60 ff7 fs6 fc3 sc0 ls0 ws0">ifstream<span class="_ _12"> </span><span class="ff4 fc0">,<span class="_ _b"> </span></span>ofstream<span class="_ _b"> </span><span class="ff4 fc0">are<span class="_ _9"> </span>output<span class="_ _c"> </span>and<span class="_ _c"> </span>input<span class="_ _c"> </span>stream<span class="_ _c"> </span>to<span class="_ _a"></span>o</span></div><div class="t m0 x9 hd y61 ff5 fs6 fc0 sc0 ls0 ws0"><fstream></div><div class="t m0 xc h5 y62 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Op<span class="_ _a"></span>en<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _c"> </span>for<span class="_ _9"> </span>reading</span></div><div class="t m0 x6 hc y63 ffc fs7 fc0 sc0 ls0 ws0">Op<span class="_ _a"></span>en<span class="_ _12"> </span>a<span class="_ _12"> </span>file<span class="_ _9"> </span>in<span class="_ _12"> </span>input<span class="_ _12"> </span>mo<span class="_ _a"></span>de:<span class="_ _17"> </span><span class="ff9 fca">ifstream<span class="_"> </span><span class="fc0">my_file("example.txt")</span></span></div><div class="t m0 xc h5 y64 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Op<span class="_ _a"></span>en<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _c"> </span>for<span class="_ _9"> </span>writing</span></div><div class="t m0 x6 hc y65 ffc fs7 fc0 sc0 ls0 ws0">Op<span class="_ _a"></span>en<span class="_ _12"> </span>a<span class="_ _12"> </span>file<span class="_ _9"> </span>in<span class="_ _12"> </span>output<span class="_ _12"> </span>mo<span class="_ _a"></span>de:<span class="_ _17"> </span><span class="ff9 fca">ofstream<span class="_"> </span><span class="fc0">my_file("example.txt")</span></span></div><div class="t m0 x6 hc y66 ffc fs7 fc0 sc0 ls0 ws0">Op<span class="_ _a"></span>en<span class="_ _12"> </span>a<span class="_ _12"> </span>file<span class="_ _9"> </span>in<span class="_ _12"> </span>app<span class="_ _a"></span>end<span class="_ _12"> </span>mode:</div><div class="t m0 x11 hb y67 ff9 fs7 fca sc0 ls0 ws0">ofstream<span class="_"> </span><span class="fc0">my_file("example.txt",<span class="_"> </span></span>ios::out<span class="_"> </span>|<span class="_"> </span>ios::app<span class="fc0">)</span></div><div class="t m0 xc h5 y68 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Read<span class="_ _c"> </span>a<span class="_ _c"> </span>line<span class="_ _10"> </span></span><span class="ff9 fca">getline<span class="fc0">(my_file,<span class="_"> </span>string)</span></span></div><div class="t m0 xc h5 y69 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Close<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _10"> </span></span><span class="ff9">my_file.<span class="fca">close</span>()</span></div><div class="t m0 xc h5 y6a ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Check<span class="_ _c"> </span>the<span class="_ _c"> </span>stream<span class="_ _c"> </span>integrity<span class="_ _13"> </span></span><span class="ff9">my_file.<span class="fca">good</span>()</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">11/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pfe" class="pf w0 h0" data-page-no="e"><div class="pc pce w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span><span class="ff5">ofstream/ifstream<span class="_ _16"> </span></span>2/3</div><div class="t m0 xc h5 y6b ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Peek<span class="_ _9"> </span>the<span class="_ _c"> </span>next<span class="_ _4"> </span>cha<span class="_ _3"></span>racter</span></div><div class="t m0 xb hb y6c ff9 fs7 fc0 sc0 ls0 ws0">char<span class="_"> </span>current_char<span class="_"> </span>=<span class="_"> </span>my_file.<span class="fca">peek</span>()</div><div class="t m0 xc h5 y6d ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Get<span class="_ _c"> </span>the<span class="_ _c"> </span>next<span class="_ _c"> </span>character<span class="_ _c"> </span>(and<span class="_ _c"> </span>advance)</span></div><div class="t m0 xb hb y6e ff9 fs7 fc0 sc0 ls0 ws0">char<span class="_"> </span>current_char<span class="_"> </span>=<span class="_"> </span>my_file.<span class="fca">get</span>()</div><div class="t m0 xc h5 y6f ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Get<span class="_ _c"> </span>the<span class="_ _c"> </span>p<span class="_ _a"></span>osition<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>current<span class="_ _c"> </span>character<span class="_ _9"> </span>in<span class="_ _c"> </span>the<span class="_ _4"> </span>input<span class="_ _c"> </span>stream</span></div><div class="t m0 xb hb y70 ff9 fs7 fc0 sc0 ls0 ws0">int<span class="_"> </span>byte_offset<span class="_"> </span>=<span class="_"> </span>my_file.<span class="fca">tellg</span>()</div><div class="t m0 xc h5 y71 ffe fs7 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Set<span class="_ _c"> </span>the<span class="_ _c"> </span>char<span class="_ _c"> </span>position<span class="_ _4"> </span>in<span class="_ _c"> </span>the<span class="_ _c"> </span>input<span class="_ _c"> </span>sequence</span></div><div class="t m0 xb hc y72 ff9 fs7 fc0 sc0 ls0 ws0">my_file.<span class="fca">seekg</span>(byte_offset)<span class="_ _13"> </span><span class="ffc">(absolute<span class="_ _12"> </span>p<span class="_ _a"></span>osition)</span></div><div class="t m0 xb hc y73 ff9 fs7 fc0 sc0 ls0 ws0">my_file.<span class="fca">seekg</span>(byte_offset,<span class="_"> </span>position)<span class="_ _13"> </span><span class="ffc">(relative<span class="_ _12"> </span>p<span class="_ _a"></span>osition)</span></div><div class="t m0 x6 hc y74 ffc fs7 fc0 sc0 ls0 ws0">where<span class="_ _12"> </span>p<span class="_ _a"></span>osition<span class="_ _12"> </span>can<span class="_ _9"> </span>be:</div><div class="t m0 xf hc y75 ff9 fs7 fc0 sc0 ls0 ws0">ios::beg<span class="_ _13"> </span><span class="ffc">(the<span class="_ _12"> </span>b<span class="_ _a"></span>egin),<span class="_ _13"> </span>ios::end<span class="_ _13"> </span>(the<span class="_ _9"> </span>end),</span></div><div class="t m0 xf hc y76 ffc fs7 fc0 sc0 ls0 ws0">ios::cur<span class="_ _13"> </span>(current<span class="_ _12"> </span>p<span class="_ _a"></span>osition)</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">12/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pff" class="pf w0 h0" data-page-no="f"><div class="pc pcf w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span><span class="ff5">ofstream/ifstream<span class="_ _16"> </span></span>3/3</div><div class="t m0 xa ha y77 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Ignore<span class="_ _9"> </span>characters<span class="_ _9"> </span>until<span class="_ _4"> </span>the<span class="_ _c"> </span>delimiter<span class="_ _c"> </span>is<span class="_ _c"> </span>found</span></div><div class="t m0 xb he y78 ff7 fs6 fc0 sc0 ls0 ws0">my_file.<span class="fca">ignore</span>(max_stream_size,<span class="_"> </span><span class="ff10"><</span>delim<span class="ff10">></span>)</div><div class="t m0 x6 ha y79 ff4 fs6 fc0 sc0 ls0 ws0">e.g.<span class="_ _e"> </span>skip<span class="_ _c"> </span>until<span class="_ _c"> </span>end<span class="_ _c"> </span>of<span class="_ _c"> </span>line<span class="_ _c"> </span><span class="ff7">\n</span></div><div class="t m0 xa ha y7a ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1 fs3">Get<span class="_ _c"> </span>a<span class="_ _c"> </span>p<span class="_ _a"></span>ointer<span class="_ _c"> </span>to<span class="_ _c"> </span>the<span class="_ _c"> </span>stream<span class="_ _c"> </span>buffer<span class="_ _c"> </span>object<span class="_ _c"> </span>currently<span class="_ _4"> </span>asso<span class="_ _a"></span>ciated<span class="_ _9"> </span>with<span class="_ _c"> </span>the<span class="_ _c"> </span>stream</span></div><div class="t m0 xb he y7b ff7 fs6 fc0 sc0 ls0 ws0">my_file.<span class="fca">rdbuf</span>()</div><div class="t m0 x6 ha y7c ff4 fs6 fc0 sc0 ls0 ws0">can<span class="_ _c"> </span>b<span class="_ _a"></span>e<span class="_ _9"> </span>used<span class="_ _c"> </span>to<span class="_ _c"> </span>redirect<span class="_ _c"> </span>file<span class="_ _c"> </span>stream</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">13/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf10" class="pf w0 h0" data-page-no="10"><div class="pc pc10 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span>Example<span class="_ _6"> </span>1</div><div class="t m0 x1 h5 y7d ff4 fs3 fc0 sc0 ls0 ws0">Op<span class="_ _a"></span>en<span class="_ _12"> </span>a<span class="_ _9"> </span>file<span class="_ _9"> </span>and<span class="_ _9"> </span>print<span class="_ _9"> </span>line<span class="_ _9"> </span>b<span class="_ _3"></span>y<span class="_ _9"> </span>line:</div><div class="t m0 x9 hb y7e ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><iostream></span></div><div class="t m0 x9 hb y7f ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><fstream></span></div><div class="t m0 x9 hb y80 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x12 hb y81 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>ifstream<span class="_"> </span>fin(<span class="fc9">"example.txt"</span>);</div><div class="t m0 x12 hb y82 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>str;</div><div class="t m0 x12 hb y83 ff5 fs7 fcb sc0 ls0 ws0">while<span class="_ _e"> </span><span class="ff9 fc0">(std<span class="fc7">::</span>getline(fin,<span class="_"> </span>str))</span></div><div class="t m0 x13 hb y84 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"<span class="ff5 fcc">\n</span>"</span></span>;</div><div class="t m0 x12 hb y85 ff9 fs7 fc0 sc0 ls0 ws0">fin.close();</div><div class="t m0 x9 hb y86 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x14 h5 y87 ff4 fs3 fc0 sc0 ls0 ws0">An<span class="_ _9"> </span>alternative<span class="_ _9"> </span>version<span class="_ _9"> </span>with<span class="_ _9"> </span>redirection:</div><div class="t m0 x15 hb y88 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><iostream></span></div><div class="t m0 x15 hb y89 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><fstream></span></div><div class="t m0 x15 hb y8a ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x16 hb y8b ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>ifstream<span class="_"> </span>fin(<span class="fc9">"example.txt"</span>);</div><div class="t m0 x16 hb y8c ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>fin.rdbuf();</div><div class="t m0 x16 hb y8d ff9 fs7 fc0 sc0 ls0 ws0">fin.close();</div><div class="t m0 x15 hb y8e ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 xa hb y8f ff9 fs7 fcd sc0 ls0 ws0">Reading<span class="_"> </span>files<span class="_"> </span>line<span class="_"> </span>by<span class="_"> </span>line<span class="_"> </span>in<span class="_"> </span>C++<span class="_"> </span>using<span class="_"> </span>ifstream</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">14/87</div><a class="l" href="https://gehrcke.de/2011/06/reading-files-in-c-using-ifstream-dealing-correctly-with-badbit-failbit-eofbit-and-perror/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:3.497000px;width:227.945000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf11" class="pf w0 h0" data-page-no="11"><div class="pc pc11 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span>Example<span class="_ _6"> </span>2</div><div class="t m0 x1 he y90 ff7 fs6 fc0 sc0 ls0 ws0">example.txt:</div><div class="t m0 x9 he y91 ff7 fs6 fc7 sc0 ls0 ws0">23<span class="fc0">␣</span>70<span class="fc0">␣␣␣</span>44<span class="fc0">\n</span></div><div class="t m0 x9 he y92 ff7 fs6 fc0 sc0 ls0 ws0">\t57\t89</div><div class="t m0 x1 ha y93 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _19"> </span>input<span class="_ _19"> </span>stream<span class="_ _19"> </span>is<span class="_ _19"> </span>indep<span class="_ _a"></span>endent<span class="_ _19"> </span>from<span class="_ _19"> </span>the</div><div class="t m0 x1 ha y94 ff4 fs6 fc0 sc0 ls0 ws0">t<span class="_ _3"></span>yp<span class="_ _a"></span>e<span class="_ _c"> </span>of<span class="_ _4"> </span>space<span class="_ _4"> </span>(multiple<span class="_ _4"> </span>space,<span class="_ _4"> </span>tab,<span class="_ _4"> </span>new-</div><div class="t m0 x1 ha y95 ff4 fs6 fc0 sc0 ls0 ws0">line<span class="_ _c"> </span><span class="ff7">\n,<span class="_"> </span>\r\n,<span class="_"> </span>etc.</span>)</div><div class="t m0 x14 ha y96 ff4 fs6 fc0 sc0 ls0 ws0">Another<span class="_ _c"> </span>example:</div><div class="t m0 x15 hb y97 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><iostream></span></div><div class="t m0 x15 hb y98 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><fstream></span></div><div class="t m0 x15 hb y99 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x17 hb y9a ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>ifstream<span class="_"> </span>fin(<span class="fc9">"example.txt"</span>);</div><div class="t m0 x17 hb y9b ff5 fs7 fc8 sc0 ls0 ws0">char<span class="_ _e"> </span><span class="ff9 fc0">c<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>fin.peek();<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>c<span class="_ _e"> </span>=<span class="_ _e"> </span><span class="ff11">'</span>2<span class="ff11">'</span></span></span></div><div class="t m0 x17 hb y9c ff5 fs7 fcb sc0 ls0 ws0">while<span class="_ _e"> </span><span class="ff9 fc0">(fin.good())<span class="_"> </span>{</span></div><div class="t m0 x18 hb y4d ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">var;</span></div><div class="t m0 x18 hb y9d ff9 fs7 fc0 sc0 ls0 ws0">fin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>var;</div><div class="t m0 x18 hb y9e ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>var;</div><div class="t m0 x17 hb y9f ff9 fs7 fc0 sc0 ls0 ws0">}<span class="_ _1a"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>2370445789</span></div><div class="t m0 x17 hb ya0 ff9 fs7 fc0 sc0 ls0 ws0">fin.seekg(<span class="fc7">4</span>);</div><div class="t m0 x17 hb ya1 ff9 fs7 fc0 sc0 ls0 ws0">c<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>fin.peek();<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>c<span class="_ _6"> </span>=<span class="_ _e"> </span><span class="ff11">'</span>0<span class="ff11">'</span></span></div><div class="t m0 x17 hb ya2 ff9 fs7 fc0 sc0 ls0 ws0">fin.close();</div><div class="t m0 x15 hb ya3 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">15/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf12" class="pf w0 h0" data-page-no="12"><div class="pc pc12 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-Check<span class="_ _6"> </span>the<span class="_ _6"> </span>End<span class="_ _6"> </span>of<span class="_ _6"> </span>a<span class="_ _6"> </span>File</div><div class="t m0 x19 ha ya4 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Check<span class="_ _c"> </span>the<span class="_ _c"> </span>current<span class="_ _c"> </span>character</span></div><div class="t m0 x1a hb ya5 ff5 fs7 fcb sc0 ls0 ws0">while<span class="_ _e"> </span><span class="ff9 fc0">(fin.peek()<span class="_"> </span><span class="fc7">!=<span class="_"> </span></span>std<span class="fc7">::</span>char_traits<span class="fc7"><</span></span><span class="fc8">char<span class="ff9 fc7">>::<span class="fc0">eof())<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>C:<span class="_ _e"> </span>EOF</span></span></span></span></div><div class="t m0 x1b hb ya6 ff9 fs7 fc0 sc0 ls0 ws0">fin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>var;</div><div class="t m0 x19 ha ya7 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>the<span class="_ _c"> </span>read<span class="_ _c"> </span>op<span class="_ _a"></span>eration<span class="_ _c"> </span>fails</span></div><div class="t m0 x1a hb ya8 ff5 fs7 fcb sc0 ls0 ws0">while<span class="_ _e"> </span><span class="ff9 fc0">(fin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>var)</span></div><div class="t m0 x1b hb ya9 ff9 fs7 fc0 sc0 ls0 ws0">...</div><div class="t m0 x19 ha yaa ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>the<span class="_ _c"> </span>stream<span class="_ _c"> </span>past<span class="_ _c"> </span>the<span class="_ _c"> </span>end<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>file</span></div><div class="t m0 x1a hb yab ff5 fs7 fcb sc0 ls0 ws0">while<span class="_ _e"> </span><span class="ff9 fc0">(<span class="fcb">true</span>)<span class="_"> </span>{</span></div><div class="t m0 x1b hb yac ff9 fs7 fc0 sc0 ls0 ws0">fin<span class="_"> </span><span class="fc7">>><span class="_"> </span></span>var</div><div class="t m0 x1b hb yad ff5 fs7 fcb sc0 ls0 ws0">if<span class="_ _e"> </span><span class="ff9 fc0">(fin.eof())</span></div><div class="t m0 x1c hb yae ff5 fs7 fcb sc0 ls0 ws0">break<span class="ff9 fc0">;</span></div><div class="t m0 x1a hb yaf ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">16/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf13" class="pf w0 h0" data-page-no="13"><div class="pc pc13 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span><span class="fs3">(<span class="ff5">checkRegularType</span>)</span></div><div class="t m0 x1 h5 y52 ff4 fs3 fc0 sc0 ls0 ws0">Check<span class="_ _9"> </span>if<span class="_ _9"> </span>a<span class="_ _9"> </span>file<span class="_ _9"> </span>is<span class="_ _9"> </span>a<span class="_ _9"> </span><span class="ff1">regula<span class="_ _3"></span>r<span class="_ _c"> </span>file<span class="_ _9"> </span><span class="ff4">and<span class="_ _9"> </span>can<span class="_ _9"> </span>b<span class="_ _a"></span>e<span class="_ _9"> </span>read/written</span></span></div><div class="t m0 x9 hf yb0 ffd fs5 fc5 sc0 ls0 ws0">#include<span class="_ _1c"> </span><span class="fc6"><sys/types.h></span></div><div class="t m0 x9 hf yb1 ffd fs5 fc5 sc0 ls0 ws0">#include<span class="_ _1c"> </span><span class="fc6"><sys/stat.h></span></div><div class="t m0 x9 hf yb2 ff5 fs5 fc8 sc0 ls0 ws0">bool<span class="_ _6"> </span><span class="ff12 fc3">checkRegularFile<span class="fc0">(</span></span><span class="fcb">const<span class="_ _4"> </span></span>char<span class="ff12 fc7">*<span class="_ _6"> </span><span class="fc0">file_path)<span class="_ _6"> </span>{</span></span></div><div class="t m0 x1d hf yb3 ff5 fs5 fcb sc0 ls0 ws0">struct<span class="_ _6"> </span><span class="fc3">stat<span class="_ _4"> </span><span class="ff12 fc0">info;</span></span></div><div class="t m0 x1d hf yb4 ff5 fs5 fcb sc0 ls0 ws0">if<span class="_ _6"> </span><span class="ff12 fc0">(<span class="fc7">::</span>stat(<span class="_ _4"> </span>file_path,<span class="_ _6"> </span><span class="fc7">&</span>info<span class="_ _6"> </span>)<span class="_ _4"> </span><span class="fc7">!=<span class="_ _6"> </span>0</span>)</span></div><div class="t m0 x11 hf yb5 ff5 fs5 fcb sc0 ls0 ws0">return<span class="_ _6"> </span><span class="ff12">false<span class="fc0">;<span class="_ _1d"> </span><span class="ffd fc6">//<span class="_ _6"> </span>unable<span class="_ _4"> </span>to<span class="_ _6"> </span>access</span></span></span></div><div class="t m0 x1d hf yb6 ff5 fs5 fcb sc0 ls0 ws0">if<span class="_ _6"> </span><span class="ff12 fc0">(info.st_mode<span class="_ _4"> </span><span class="fc7">&<span class="_ _6"> </span></span>S_IFDIR)</span></div><div class="t m0 x11 hf yb7 ff5 fs5 fcb sc0 ls0 ws0">return<span class="_ _6"> </span><span class="ff12">false<span class="fc0">;<span class="_ _1e"> </span><span class="ffd fc6">//<span class="_ _6"> </span>is<span class="_ _4"> </span>a<span class="_ _6"> </span>directory</span></span></span></div><div class="t m0 x1d hf yb8 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>ifstream<span class="_ _6"> </span>fin(file_path);<span class="_ _4"> </span><span class="ffd fc6">//<span class="_ _6"> </span>additional<span class="_ _6"> </span>checking</span></div><div class="t m0 x1d hf yb9 ff5 fs5 fcb sc0 ls0 ws0">if<span class="_ _6"> </span><span class="ff12 fc0">(<span class="fc7">!</span>fin.is_open()<span class="_ _4"> </span><span class="fc7">||<span class="_ _6"> </span>!</span>fin.good())</span></div><div class="t m0 x11 hf yba ff5 fs5 fcb sc0 ls0 ws0">return<span class="_ _6"> </span><span class="ff12">false<span class="fc0">;</span></span></div><div class="t m0 x1d hf ybb ff5 fs5 fcb sc0 ls0 ws0">try<span class="_ _6"> </span><span class="ff12 fc0">{<span class="_ _1f"> </span><span class="ffd fc6">//<span class="_ _6"> </span>try<span class="_ _4"> </span>to<span class="_ _6"> </span>read</span></span></div><div class="t m0 x11 hf ybc ff5 fs5 fc8 sc0 ls0 ws0">char<span class="_ _6"> </span><span class="ff12 fc0">c;<span class="_ _4"> </span>fin<span class="_ _6"> </span><span class="fc7">>><span class="_ _6"> </span></span>c;</span></div><div class="t m0 x1d hf ybd ff12 fs5 fc0 sc0 ls0 ws0">}<span class="_ _6"> </span><span class="ff5 fcb">catch<span class="_ _4"> </span></span>(std<span class="fc7">::</span>ios_base<span class="fc7">::</span>failure<span class="fc7">&</span>)<span class="_ _6"> </span>{</div><div class="t m0 x11 hf ybe ff5 fs5 fcb sc0 ls0 ws0">return<span class="_ _6"> </span><span class="ff12">false<span class="fc0">;</span></span></div><div class="t m0 x1d hf ybf ff12 fs5 fc0 sc0 ls0 ws0">}</div><div class="t m0 x1d hf yc0 ff5 fs5 fcb sc0 ls0 ws0">return<span class="_ _6"> </span><span class="ff12">true<span class="fc0">;</span></span></div><div class="t m0 x9 hf yc1 ff12 fs5 fc0 sc0 ls0 ws0">}</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">17/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf14" class="pf w0 h0" data-page-no="14"><div class="pc pc14 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">I/O<span class="_ _6"> </span>Stream<span class="_ _6"> </span>-<span class="_ _6"> </span>File<span class="_ _6"> </span>size</div><div class="t m0 x1 h6 yc2 ff13 fs2 fc0 sc0 ls0 ws0">Get<span class="_ _4"> </span>the<span class="_ _4"> </span><span class="ff1">file<span class="_ _6"> </span>size<span class="_ _4"> </span></span>in<span class="_ _4"> </span>b<span class="_ _3"></span>ytes<span class="_ _4"> </span>in<span class="_ _4"> </span>a<span class="_ _4"> </span><span class="ff1">p<span class="_ _a"></span>o<span class="_ _3"></span>rtable<span class="_ _c"> </span><span class="ff13">wa<span class="_ _3"></span>y:</span></span></div><div class="t m0 x9 hb yc3 ff5 fs7 fc8 sc0 ls0 ws0">long<span class="_ _e"> </span>long<span class="_ _6"> </span>int<span class="_ _e"> </span><span class="ff9 fc3">fileSize<span class="fc0">(</span></span><span class="fcb">const<span class="_ _e"> </span></span>char<span class="ff9 fc7">*<span class="_"> </span><span class="fc0">file_path)<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb yc4 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>ifstream<span class="_"> </span>fin(file_path);<span class="_ _20"> </span><span class="ffd fc6">//<span class="_ _e"> </span>open<span class="_ _6"> </span>the<span class="_ _e"> </span>file</span></div><div class="t m0 x6 hb yc5 ff9 fs7 fc0 sc0 ls0 ws0">fin.seekg(<span class="fc7">0</span>,<span class="_"> </span>ios<span class="fc7">::</span>beg);<span class="_ _21"> </span><span class="ffd fc6">//<span class="_ _e"> </span>move<span class="_ _6"> </span>to<span class="_ _e"> </span>the<span class="_ _e"> </span>first<span class="_ _6"> </span>byte</span></div><div class="t m0 x6 hb yc6 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>istream<span class="fc7">::</span>pos_type<span class="_"> </span>start_pos<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>fin.tellg();</div><div class="t m0 x1e hb yc7 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>get<span class="_ _6"> </span>the<span class="_ _e"> </span>start<span class="_ _e"> </span>offset</div><div class="t m0 x6 hb yc8 ff9 fs7 fc0 sc0 ls0 ws0">fin.seekg(<span class="fc7">0</span>,<span class="_"> </span>ios<span class="fc7">::</span>end);<span class="_ _21"> </span><span class="ffd fc6">//<span class="_ _e"> </span>move<span class="_ _6"> </span>to<span class="_ _e"> </span>the<span class="_ _e"> </span>last<span class="_ _6"> </span>byte</span></div><div class="t m0 x6 hb yc9 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>istream<span class="fc7">::</span>pos_type<span class="_"> </span>end_pos<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>fin.tellg();</div><div class="t m0 x1e hb yca ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>get<span class="_ _6"> </span>the<span class="_ _e"> </span>end<span class="_ _e"> </span>offset</div><div class="t m0 x6 hb ycb ff5 fs7 fcb sc0 ls0 ws0">return<span class="_ _e"> </span><span class="ff9 fc0">end_pos<span class="_"> </span><span class="fc7">-<span class="_"> </span></span>start_pos;<span class="_ _22"> </span><span class="ffd fc6">//<span class="_ _e"> </span>position<span class="_ _6"> </span>difference</span></span></div><div class="t m0 x9 hb ycc ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x1 ha ycd ff4 fs6 fc0 sc0 ls0 ws0">see<span class="_ _c"> </span><span class="fce">C++17<span class="_ _c"> </span></span>file<span class="_ _c"> </span>system<span class="_ _c"> </span>utilities</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">18/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf15" class="pf w0 h0" data-page-no="15"><div class="pc pc15 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Strings<span class="_ _1"> </span>and<span class="_ _1"> </span>std::p<span class="_ _23"></span>rint</div><a class="l" href="#pf15" data-dest-detail='[21,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:241.881000px;height:24.026000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf16" class="pf w0 h0" data-page-no="16"><div class="pc pc16 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string<span class="_ _24"> </span><span class="ff1">1/4</span></div><div class="t m0 x9 ha y60 ff7 fs6 fc3 sc0 ls0 ws0">std::string<span class="_ _b"> </span><span class="ff4 fc0">is<span class="_ _c"> </span>a<span class="_ _c"> </span>wrapp<span class="_ _a"></span>er<span class="_ _9"> </span>of<span class="_ _c"> </span>character<span class="_ _9"> </span>sequences</span></div><div class="t m0 x1 ha ycf ff4 fs6 fc0 sc0 ls0 ws0">Mo<span class="_ _3"></span>re<span class="_ _c"> </span>flexible<span class="_ _c"> </span>and<span class="_ _c"> </span>safer<span class="_ _c"> </span>than<span class="_ _c"> </span>ra<span class="_ _3"></span>w<span class="_ _c"> </span>char<span class="_ _9"> </span>arra<span class="_ _23"></span>y<span class="_ _c"> </span>but<span class="_ _c"> </span>can<span class="_ _c"> </span>b<span class="_ _a"></span>e<span class="_ _c"> </span>slow<span class="_ _23"></span>er</div><div class="t m0 x9 hb yd0 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><string></span></div><div class="t m0 x9 hb yd1 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb yd2 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>a;<span class="_ _25"> </span><span class="ffd fc6">//<span class="_ _e"> </span>empty<span class="_ _6"> </span>string</span></div><div class="t m0 x6 hb yd3 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>b(<span class="fc9">"first"</span>);</div><div class="t m0 x6 hb yd4 ff5 fs7 fcb sc0 ls0 ws0">using<span class="_ _e"> </span>namespace<span class="_ _6"> </span><span class="fc3">std<span class="ff9 fc7">::</span>string_literals<span class="ff9 fc0">;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>C++14</span></span></span></div><div class="t m0 x6 hb yd5 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>c<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"second"</span></span>s;<span class="_ _26"> </span><span class="ffd fc6">//<span class="_ _e"> </span>C++14</span></div><div class="t m0 x9 hb yd6 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x9 ha yd7 ff7 fs6 fc0 sc0 ls0 ws0">std::string<span class="_ _b"> </span><span class="ff4">supp<span class="_ _a"></span>o<span class="_ _3"></span>rts<span class="_ _b"> </span><span class="ff7">constexpr<span class="_ _b"> </span></span>in<span class="_ _9"> </span><span class="fce">C++20</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">19/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf17" class="pf w0 h0" data-page-no="17"><div class="pc pc17 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string<span class="_ _6"> </span><span class="ff1">-<span class="_ _6"> </span>Capacit<span class="_ _3"></span>y<span class="_ _6"> </span>and<span class="_ _6"> </span>Sea<span class="_ _3"></span>rch<span class="_ _27"> </span>2/4</span></div><div class="t m0 xa h5 yd8 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">empty<span class="fc0">()<span class="_ _10"> </span><span class="ff4">returns<span class="_ _10"> </span></span>true<span class="_ _10"> </span><span class="ff4">if<span class="_ _9"> </span>the<span class="_ _9"> </span>string<span class="_ _9"> </span>is<span class="_ _9"> </span>empty<span class="_ _5"></span>,<span class="_ _b"> </span><span class="ff7">false<span class="_ _13"> </span></span>otherwise</span></span></span></div><div class="t m0 xa h5 yd9 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">size<span class="fc0">()<span class="_ _10"> </span><span class="ff4">returns<span class="_ _9"> </span>the<span class="_ _9"> </span>numb<span class="_ _a"></span>er<span class="_ _9"> </span>of<span class="_ _9"> </span>cha<span class="_ _3"></span>racters<span class="_ _9"> </span>in<span class="_ _9"> </span>the<span class="_ _9"> </span>string</span></span></span></div><div class="t m0 xa h5 yda ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">find<span class="fc0">(string)<span class="_ _28"> </span><span class="ff4">returns<span class="_ _6"> </span>the<span class="_ _6"> </span>p<span class="_ _a"></span>osition<span class="_ _6"> </span>of<span class="_ _6"> </span>the<span class="_ _6"> </span>first<span class="_ _6"> </span>substring<span class="_ _6"> </span>equal<span class="_ _e"> </span>to<span class="_ _6"> </span>the<span class="_ _6"> </span>given<span class="_ _6"> </span>cha<span class="_ _3"></span>racter</span></span></span></div><div class="t m0 x6 h5 ydb ff4 fs3 fc0 sc0 ls0 ws0">sequence<span class="_ _9"> </span>o<span class="_ _3"></span>r<span class="_ _9"> </span><span class="ff5">npos<span class="_ _9"> </span></span>if<span class="_ _9"> </span>no<span class="_ _9"> </span>substring<span class="_ _9"> </span>is<span class="_ _9"> </span>found</div><div class="t m0 xa h5 ydc ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">rfind<span class="fc0">(string)<span class="_ _17"> </span><span class="ff4">returns<span class="_ _6"> </span>the<span class="_ _4"> </span>p<span class="_ _a"></span>osition<span class="_ _4"> </span>of<span class="_ _6"> </span>the<span class="_ _4"> </span>last<span class="_ _6"> </span>substring<span class="_ _4"> </span>equal<span class="_ _6"> </span>to<span class="_ _4"> </span>the<span class="_ _6"> </span>given<span class="_ _4"> </span>character</span></span></span></div><div class="t m0 x6 h5 ydd ff4 fs3 fc0 sc0 ls0 ws0">sequence<span class="_ _9"> </span>o<span class="_ _3"></span>r<span class="_ _9"> </span><span class="ff5">npos<span class="_ _9"> </span></span>if<span class="_ _9"> </span>no<span class="_ _9"> </span>substring<span class="_ _9"> </span>is<span class="_ _9"> </span>found</div><div class="t m0 xa h5 yde ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">find_first_of<span class="fc0">(char_seq)<span class="_ _17"> </span><span class="ff4">returns<span class="_ _6"> </span>the<span class="_ _4"> </span>p<span class="_ _a"></span>osition<span class="_ _4"> </span>of<span class="_ _6"> </span>the<span class="_ _4"> </span>first<span class="_ _6"> </span>cha<span class="_ _23"></span>racter<span class="_ _6"> </span>equal<span class="_ _4"> </span>to<span class="_ _6"> </span>one<span class="_ _4"> </span>of</span></span></span></div><div class="t m0 x6 h5 ydf ff4 fs3 fc0 sc0 ls0 ws0">the<span class="_ _9"> </span>cha<span class="_ _3"></span>racters<span class="_ _9"> </span>in<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>character<span class="_ _12"> </span>sequence<span class="_ _9"> </span>or<span class="_ _13"> </span><span class="ff7">npos<span class="_ _b"> </span></span>if<span class="_ _9"> </span>no<span class="_ _9"> </span>cha<span class="_ _3"></span>racters<span class="_ _9"> </span>is<span class="_ _9"> </span>found</div><div class="t m0 xa h5 ye0 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">find_last_of<span class="fc0">(char_seq)<span class="_ _10"> </span><span class="ff4">returns<span class="_ _9"> </span>the<span class="_ _12"> </span>p<span class="_ _a"></span>osition<span class="_ _9"> </span>of<span class="_ _9"> </span>the<span class="_ _9"> </span>last<span class="_ _12"> </span>character<span class="_ _9"> </span>equal<span class="_ _12"> </span>to<span class="_ _9"> </span>one<span class="_ _9"> </span>of<span class="_ _9"> </span>the</span></span></span></div><div class="t m0 x6 h5 ye1 ff4 fs3 fc0 sc0 ls0 ws0">cha<span class="_ _3"></span>racters<span class="_ _9"> </span>in<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>character<span class="_ _12"> </span>sequence<span class="_ _9"> </span>or<span class="_ _13"> </span><span class="ff7">npos<span class="_ _b"> </span></span>if<span class="_ _9"> </span>no<span class="_ _9"> </span>cha<span class="_ _3"></span>racters<span class="_ _9"> </span>is<span class="_ _9"> </span>found</div><div class="t m0 x9 h5 ye2 ff7 fs3 fc0 sc0 ls0 ws0">npos<span class="_ _10"> </span><span class="ff4">sp<span class="_ _a"></span>ecial<span class="_ _9"> </span>value<span class="_ _9"> </span>returned<span class="_ _9"> </span>b<span class="_ _3"></span>y<span class="_ _9"> </span>string<span class="_ _9"> </span>methods</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">20/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf18" class="pf w0 h0" data-page-no="18"><div class="pc pc18 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string<span class="_ _6"> </span><span class="ff1">-<span class="_ _6"> </span>Op<span class="_ _a"></span>erations<span class="_ _29"> </span>3/4</span></div><div class="t m0 xa h5 yd8 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">new_string<span class="_ _1"> </span><span class="fca">substr</span>(start_pos)</span></div><div class="t m0 x6 h5 ye3 ff4 fs3 fc0 sc0 ls0 ws0">returns<span class="_ _9"> </span>a<span class="_ _9"> </span>substring<span class="_ _9"> </span>[sta<span class="_ _3"></span>rt_p<span class="_ _a"></span>os,<span class="_ _9"> </span>end]</div><div class="t m0 xb h10 ye4 ff7 fs3 fc0 sc0 ls0 ws0">new_string<span class="_ _1"> </span><span class="fca">substr</span>(start_pos,<span class="_"> </span>count)</div><div class="t m0 x6 h5 ye5 ff4 fs3 fc0 sc0 ls0 ws0">returns<span class="_ _9"> </span>a<span class="_ _9"> </span>substring<span class="_ _9"> </span>[sta<span class="_ _3"></span>rt_p<span class="_ _a"></span>os,<span class="_ _9"> </span>sta<span class="_ _3"></span>rt_pos<span class="_ _9"> </span>+<span class="_ _9"> </span>count)</div><div class="t m0 xa h5 ye6 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">clear<span class="fc0">()<span class="_ _10"> </span><span class="ff4">removes<span class="_ _9"> </span>all<span class="_ _9"> </span>characters<span class="_ _12"> </span>from<span class="_ _9"> </span>the<span class="_ _9"> </span>string</span></span></span></div><div class="t m0 xa h5 ye7 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">erase<span class="fc0">(pos)<span class="_ _10"> </span><span class="ff4">removes<span class="_ _9"> </span>the<span class="_ _9"> </span>character<span class="_ _12"> </span>at<span class="_ _9"> </span>p<span class="_ _a"></span>osition</span></span></span></div><div class="t m0 xb h10 ye8 ff7 fs3 fca sc0 ls0 ws0">erase<span class="fc0">(start_pos,<span class="_"> </span>count)</span></div><div class="t m0 x6 h5 ye9 ff4 fs3 fc0 sc0 ls0 ws0">removes<span class="_ _9"> </span>the<span class="_ _9"> </span>cha<span class="_ _3"></span>racters<span class="_ _9"> </span>at<span class="_ _9"> </span>p<span class="_ _a"></span>ositions<span class="_ _9"> </span>[sta<span class="_ _3"></span>rt_pos,<span class="_ _9"> </span>start_pos<span class="_ _9"> </span>+<span class="_ _9"> </span>count)</div><div class="t m0 xa h5 yea ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">replace<span class="fc0">(start_pos,<span class="_"> </span>count,<span class="_"> </span>new_string)</span></span></div><div class="t m0 x6 h5 yeb ff4 fs3 fc0 sc0 ls0 ws0">replaces<span class="_ _19"> </span>the<span class="_ _2a"> </span>pa<span class="_ _3"></span>rt<span class="_ _19"> </span>of<span class="_ _2a"> </span>the<span class="_ _19"> </span>string<span class="_ _2a"> </span>indicated<span class="_ _19"> </span>b<span class="_ _3"></span>y<span class="_ _2a"> </span>[start_pos,<span class="_ _9"> </span>start_pos<span class="_ _9"> </span>+<span class="_ _9"> </span>count)<span class="_ _19"> </span>with<span class="_ _2a"> </span><span class="ff7">new_string</span></div><div class="t m0 xa h5 yec ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">c_str<span class="fc0">()</span></span></div><div class="t m0 x6 h5 yed ff4 fs3 fc0 sc0 ls0 ws0">returns<span class="_ _9"> </span>a<span class="_ _9"> </span>p<span class="_ _a"></span>ointer<span class="_ _12"> </span>to<span class="_ _9"> </span>the<span class="_ _9"> </span>raw<span class="_ _9"> </span>cha<span class="_ _3"></span>r<span class="_ _9"> </span>sequence</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">21/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf19" class="pf w0 h0" data-page-no="19"><div class="pc pc19 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string<span class="_ _6"> </span><span class="ff1">-<span class="_ _6"> </span>Overloaded<span class="_ _6"> </span>Op<span class="_ _a"></span>erato<span class="_ _3"></span>rs<span class="_ _2b"> </span>4/4</span></div><div class="t m0 xa ha yee ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">access<span class="_ _6"> </span>specified<span class="_ _4"> </span>character<span class="_ _b"> </span><span class="ff7">string1[i]</span></span></div><div class="t m0 xa ha yef ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">string<span class="_ _6"> </span>cop<span class="_ _23"></span>y<span class="_ _b"> </span><span class="ff7">string1<span class="_"> </span>=<span class="_"> </span>string2</span></span></div><div class="t m0 xa ha yf0 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">string<span class="_ _6"> </span>compa<span class="_ _23"></span>re<span class="_ _b"> </span><span class="ff7">string1<span class="_"> </span>==<span class="_"> </span>string2</span></span></div><div class="t m0 x6 ha yf1 ff4 fs6 fc0 sc0 ls0 ws0">w<span class="_ _3"></span>o<span class="_ _3"></span>rks<span class="_ _c"> </span>also<span class="_ _c"> </span>with<span class="_ _b"> </span><span class="ff7">!=,<span class="ff10"><</span>,<span class="ffb">≤</span>,<span class="ff10">></span>,<span class="ffb">≥</span></span></div><div class="t m0 xa ha yf2 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">concatenate<span class="_ _6"> </span>t<span class="_ _23"></span>wo<span class="_ _c"> </span>strings<span class="_ _b"> </span><span class="ff7">string_concat<span class="_"> </span>=<span class="_"> </span>string1<span class="_"> </span>+<span class="_"> </span>string2</span></span></div><div class="t m0 xa ha yf3 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">app<span class="_ _a"></span>end<span class="_ _4"> </span>characters<span class="_ _c"> </span>to<span class="_ _6"> </span>the<span class="_ _c"> </span>end<span class="_ _b"> </span><span class="ff7">string1<span class="_"> </span>+=<span class="_"> </span>string2</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">22/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf1a" class="pf w0 h0" data-page-no="1a"><div class="pc pc1a w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Conversion<span class="_ _6"> </span>from/to<span class="_ _6"> </span>Numeric<span class="_ _6"> </span>V<span class="_ _3"></span>alues</div><div class="t m0 x1 ha y60 ff4 fs6 fc0 sc0 ls0 ws0">Converts<span class="_ _c"> </span>a<span class="_ _c"> </span>string<span class="_ _c"> </span>to<span class="_ _c"> </span>a<span class="_ _c"> </span>numeric<span class="_ _c"> </span>value<span class="_ _c"> </span><span class="fce">C++11</span>:</div><div class="t m0 xa h5 yf4 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stoi<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>signed<span class="_ _9"> </span>integer</span></span></span></div><div class="t m0 xa h5 yf5 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stol<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>long<span class="_ _9"> </span>signed<span class="_ _9"> </span>integer</span></span></span></div><div class="t m0 xa h5 yf6 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stoul<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>long<span class="_ _9"> </span>unsigned<span class="_ _9"> </span>integer</span></span></span></div><div class="t m0 xa h5 y4b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stoull<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>long<span class="_ _9"> </span>long<span class="_ _9"> </span>unsigned<span class="_ _9"> </span>integer</span></span></span></div><div class="t m0 xa h5 yf7 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stof<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>floating<span class="_ _9"> </span>p<span class="_ _a"></span>oint<span class="_ _9"> </span>value<span class="_ _9"> </span>(float)</span></span></span></div><div class="t m0 xa h5 yf8 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stod<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>floating<span class="_ _9"> </span>p<span class="_ _a"></span>oint<span class="_ _9"> </span>value<span class="_ _9"> </span>(double)</span></span></span></div><div class="t m0 xa h5 yf9 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">stold<span class="fc0">(string)<span class="_ _10"> </span><span class="ff4">string<span class="_ _9"> </span>to<span class="_ _9"> </span>floating<span class="_ _9"> </span>p<span class="_ _a"></span>oint<span class="_ _9"> </span>value<span class="_ _9"> </span>(long<span class="_ _9"> </span>double)</span></span></span></div><div class="t m0 xa h5 yfa ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4 fce">C++17<span class="_ _b"> </span><span class="ff7 fca">std::from_chars<span class="fc0">(start,<span class="_"> </span>end,<span class="_"> </span>result,<span class="_"> </span>base)<span class="_ _13"> </span><span class="ff4">fast<span class="_ _9"> </span>string<span class="_ _9"> </span>conversion<span class="_ _9"> </span>(no</span></span></span></span></div><div class="t m0 x6 h5 yfb ff4 fs3 fc0 sc0 ls0 ws0">allo<span class="_ _a"></span>cation,<span class="_ _12"> </span>no<span class="_ _9"> </span>exception)</div><div class="t m0 x1 ha yfc ff4 fs6 fc0 sc0 ls0 ws0">Converts<span class="_ _c"> </span>a<span class="_ _c"> </span>numeric<span class="_ _c"> </span>value<span class="_ _c"> </span>to<span class="_ _c"> </span>a<span class="_ _c"> </span>string:</div><div class="t m0 xa h5 yfd ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4 fce">C++11<span class="_ _b"> </span><span class="ff7 fca">to_string<span class="fc0">(numeric_value)<span class="_ _13"> </span><span class="ff4">numeric<span class="_ _9"> </span>value<span class="_ _9"> </span>to<span class="_ _9"> </span>string</span></span></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">23/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf1b" class="pf w0 h0" data-page-no="1b"><div class="pc pc1b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Examples</div><div class="t m0 x9 hb yfe ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>str(<span class="fc9">"si<span class="_"> </span>vis<span class="_"> </span>pacem<span class="_"> </span>para<span class="_"> </span>bellum"</span>);</div><div class="t m0 x9 hb yff ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str.size();<span class="_ _22"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _e"> </span>24</span></div><div class="t m0 x9 hb y100 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str.find(<span class="fc9">"vis"</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>3</span></div><div class="t m0 x9 hb y101 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str.find_last_of(<span class="fc9">"bla"</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>21,<span class="_ _e"> </span><span class="ff11">'</span>l<span class="ff11">'<span class="_ _e"> </span></span>found</span></div><div class="t m0 x9 hb y102 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str.substr(<span class="fc7">7</span>,<span class="_"> </span><span class="fc7">5</span>);<span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>"pacem",<span class="_ _e"> </span>pos=7<span class="_ _e"> </span>and<span class="_ _6"> </span>count=5</span></div><div class="t m0 x9 hb y103 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>str[<span class="fc7">1</span>];<span class="_ _21"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span><span class="ff11">'</span>i<span class="ff11">'</span></span></div><div class="t m0 x9 hb y104 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>(str<span class="_"> </span><span class="fc7">==<span class="_"> </span><span class="fc9">"vis"</span></span>);<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>false</span></div><div class="t m0 x9 hb y105 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>(str<span class="_"> </span><span class="fc7"><<span class="_"> </span><span class="fc9">"z"</span></span>);<span class="_ _2c"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>true</span></div><div class="t m0 x9 hb y106 ff5 fs7 fcb sc0 ls0 ws0">const<span class="_ _e"> </span><span class="fc8">char<span class="ff9 fc7">*<span class="_"> </span><span class="fc0">raw_str<span class="_"> </span></span>=<span class="_"> </span><span class="fc0">str.c_str();</span></span></span></div><div class="t m0 x9 hb y107 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>string(<span class="fc9">"a"</span>)<span class="_"> </span><span class="fc7">+<span class="_"> </span><span class="fc9">"b"</span></span>;<span class="_ _2c"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>"ab"</span></div><div class="t m0 x9 hb y108 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>string(<span class="fc9">"ab"</span>).erase(<span class="fc7">0</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span><span class="ff11">'</span>b<span class="ff11">'</span></span></div><div class="t m0 x9 hb y109 ff5 fs7 fc8 sc0 ls0 ws0">char<span class="ff9 fc7">*<span class="_ _2d"> </span><span class="fc0">str2<span class="_"> </span></span>=<span class="_"> </span><span class="fc9">"34"<span class="fc0">;</span></span></span></div><div class="t m0 x9 hb y10a ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _25"> </span><span class="ff9 fc0">a<span class="_ _20"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>stoi(str2);<span class="_ _2e"> </span><span class="ffd fc6">//<span class="_ _e"> </span>a<span class="_ _6"> </span>=<span class="_ _e"> </span>34;</span></span></div><div class="t m0 x9 hb y10b ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>str3<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>to_string(a);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>str3<span class="_ _6"> </span>=<span class="_ _e"> </span>"34"</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">24/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf1c" class="pf w0 h0" data-page-no="1c"><div class="pc pc1c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Tips</div><div class="t m0 xa ha y10c ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Conversion<span class="_ _c"> </span>from<span class="_ _c"> </span>integer<span class="_ _c"> </span>to<span class="_ _c"> </span>char<span class="_ _9"> </span>letter<span class="_ _c"> </span>(e.g.<span class="_ _e"> </span>3<span class="_ _c"> </span><span class="ffb">→<span class="_ _c"> </span></span></span>'<span class="ff4">C</span>'<span class="ff4">):</span></div><div class="t m0 xb he y10d ff7 fs6 fc0 sc0 ls0 ws0">static_cast<char>(<span class="ff14">'</span>A<span class="ff14">'</span>+<span class="_"> </span>value)</div><div class="t m0 x6 ha y10e ff7 fs6 fc0 sc0 ls0 ws0">value<span class="_ _c"> </span><span class="ffb">∈<span class="_ _c"> </span><span class="ff4">[0,<span class="_ _c"> </span>26]<span class="_ _c"> </span>(English<span class="_ _c"> </span>alphab<span class="_ _a"></span>et)</span></span></div><div class="t m0 xa ha y10f ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Conversion<span class="_ _c"> </span>from<span class="_ _c"> </span>char<span class="_ _9"> </span>to<span class="_ _c"> </span>integer<span class="_ _c"> </span>(e.g.<span class="_ _e"> </span>’C’<span class="_ _c"> </span><span class="ffb">→<span class="_ _c"> </span></span>3):<span class="_ _7"> </span><span class="ff7">value<span class="_"> </span>-<span class="_"> </span><span class="ff14">'</span>A<span class="ff14">'</span></span></span></div><div class="t m0 x6 ha y110 ff7 fs6 fc0 sc0 ls0 ws0">value<span class="_ _c"> </span><span class="ffb">∈<span class="_ _c"> </span><span class="ff4">[0,<span class="_ _c"> </span>26]</span></span></div><div class="t m0 xa ha y111 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Conversion<span class="_ _c"> </span>from<span class="_ _c"> </span>digit<span class="_ _c"> </span>to<span class="_ _c"> </span>char<span class="_ _9"> </span>numb<span class="_ _a"></span>er<span class="_ _c"> </span>(e.g.<span class="_ _e"> </span>3<span class="_ _c"> </span><span class="ffb">→<span class="_ _c"> </span></span></span>'<span class="ff4">3</span>'<span class="ff4">):</span></div><div class="t m0 xb he y112 ff7 fs6 fc0 sc0 ls0 ws0">static_cast<char>(<span class="ff14">'</span>0<span class="ff14">'</span>+<span class="_"> </span>value)</div><div class="t m0 x6 ha y113 ff7 fs6 fc0 sc0 ls0 ws0">value<span class="_ _c"> </span><span class="ffb">∈<span class="_ _c"> </span><span class="ff4">[0,<span class="_ _c"> </span>9]</span></span></div><div class="t m0 xa ha y114 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">char<span class="_ _9"> </span>to<span class="_ _c"> </span>string<span class="_ _b"> </span><span class="ff7 fca">std::string<span class="fc0">(1,<span class="_"> </span>char_value)</span></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">25/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf1d" class="pf w0 h0" data-page-no="1d"><div class="pc pc1d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIxUlEQVR42u3ZsU0DQRCGUS+6EdGKGhARFSBEjERnNEE5BBRBB0RoIiYxGSGysIE5+70KVv8ln+bG1c3dBgAA2nh9eT6zAgAA3YhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAAC+jKqyAgAAfUSESyoAAO2IVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAnLrFBN1kphHY35zTCACsl0sqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAcFCjqqwAAEAfEeGSCgBAOyIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAADwncUEu8tMI9DEnNMIABwxl1QAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQDgoEZVWQEAgD4iYrHC7jLTCG3NOY0AAEfD734AAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAA8L9GVVkBAIA+IsIlFQCAdkQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABO3WICflVmGoH9zTmNAHBSXFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQCAgxpVZQUAAPqICJdUAADaEakAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABO17Kit2amDwYA8DNzzhW91iUVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgDA8RlVZQUAAPqICJdUAADaEakAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACsxvL+eGkF2MXb/ZMRAOAPXN8+jHFxvn3/2Gy2261BAABo4ROQwDH6HhlPXAAAAABJRU5ErkJggg=="/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string_view<span class="_ _2f"> </span><span class="ff1">1/3</span></div><div class="t m0 x1 ha y60 ff4 fs6 fce sc0 ls0 ws0">C++17<span class="_ _b"> </span><span class="ff7 fc3">std::string_view<span class="_ _b"> </span></span><span class="fc0">describ<span class="_ _a"></span>es<span class="_ _9"> </span>a<span class="_ _c"> </span>minimum<span class="_ _c"> </span>common<span class="_ _c"> </span>interface<span class="_ _c"> </span>to<span class="_ _c"> </span>interact<span class="_ _c"> </span>with</span></div><div class="t m0 x1 ha yb0 ff4 fs6 fc0 sc0 ls0 ws0">string<span class="_ _c"> </span>data:</div><div class="t m0 xa ha y115 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">const<span class="_"> </span>std::string&</span></div><div class="t m0 xa ha y116 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">const<span class="_"> </span>char*</span></div><div class="t m0 x1 ha y117 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>purp<span class="_ _a"></span>ose<span class="_ _9"> </span>of<span class="_ _b"> </span><span class="ff7">std::string_view<span class="_ _b"> </span></span>is<span class="_ _c"> </span>to<span class="_ _c"> </span>avoid<span class="_ _c"> </span>copying<span class="_ _9"> </span>data<span class="_ _c"> </span>which<span class="_ _c"> </span>is<span class="_ _c"> </span>already<span class="_ _c"> </span>owned</div><div class="t m0 x1 ha y118 ff4 fs6 fc0 sc0 ls0 ws0">b<span class="_ _3"></span>y<span class="_ _c"> </span>the<span class="_ _c"> </span>o<span class="_ _3"></span>riginal<span class="_ _c"> </span>object</div><div class="t m0 x9 hb y119 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><string></span></div><div class="t m0 x9 hb y11a ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><string_view></span></div><div class="t m0 x9 hb y11b ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_"> </span>str<span class="_ _1b"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"abc"</span></span>;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>new<span class="_ _6"> </span>memory<span class="_ _e"> </span>allocation<span class="_ _e"> </span>+<span class="_ _6"> </span>copy</span></div><div class="t m0 x9 hb y11c ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string_view<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"abc"</span></span>;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>only<span class="_ _6"> </span>the<span class="_ _e"> </span>reference</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">26/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf1e" class="pf w0 h0" data-page-no="1e"><div class="pc pc1e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string_view<span class="_ _2f"> </span><span class="ff1">2/3</span></div><div class="t m0 x9 ha y60 ff7 fs6 fc0 sc0 ls0 ws0">std::string_view<span class="_ _b"> </span><span class="ff4">p<span class="_ _3"></span>rovides<span class="_ _c"> </span>simila<span class="_ _3"></span>r<span class="_ _c"> </span>functionalities<span class="_ _c"> </span>of<span class="_ _b"> </span><span class="ff7">std::string</span></span></div><div class="t m0 x9 hf y11d ffd fs5 fc5 sc0 ls0 ws0">#include<span class="_ _1c"> </span><span class="fc6"><iostream></span></div><div class="t m0 x9 hf y11e ffd fs5 fc5 sc0 ls0 ws0">#include<span class="_ _1c"> </span><span class="fc6"><string></span></div><div class="t m0 x9 hf y11f ffd fs5 fc5 sc0 ls0 ws0">#include<span class="_ _1c"> </span><span class="fc6"><string_view></span></div><div class="t m0 x9 hf y120 ff5 fs5 fc8 sc0 ls0 ws0">void<span class="_ _6"> </span><span class="ff12 fc3">string_op1<span class="fc0">(</span></span><span class="fcb">const<span class="_ _4"> </span><span class="ff12 fc0">std<span class="fc7">::</span>string<span class="fc7">&<span class="_ _6"> </span></span>str)<span class="_ _6"> </span>{}</span></span></div><div class="t m0 x9 hf y121 ff5 fs5 fc8 sc0 ls0 ws0">void<span class="_ _6"> </span><span class="ff12 fc3">string_op2<span class="fc0">(std<span class="fc7">::</span>string_view<span class="_ _30"> </span>str)<span class="_ _6"> </span>{}</span></span></div><div class="t m0 x9 hf y122 ff12 fs5 fc0 sc0 ls0 ws0">string_op1(<span class="fc9">"abcdef"</span>);<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _4"> </span>allocation<span class="_ _6"> </span>+<span class="_ _4"> </span>copy</span></div><div class="t m0 x9 hf y123 ff12 fs5 fc0 sc0 ls0 ws0">string_op2(<span class="fc9">"abcdef"</span>);<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _4"> </span>reference</span></div><div class="t m0 x9 hf y124 ff5 fs5 fcb sc0 ls0 ws0">const<span class="_ _6"> </span><span class="fc8">char<span class="ff12 fc7">*<span class="_ _4"> </span><span class="fc0">str1<span class="_ _6"> </span></span>=<span class="_ _6"> </span><span class="fc9">"abcdef"<span class="fc0">;</span></span></span></span></div><div class="t m0 x9 hf y125 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string<span class="_ _6"> </span>str2(<span class="fc9">"abcdef"</span>);<span class="_ _31"> </span><span class="ffd fc6">//<span class="_ _6"> </span>allocation<span class="_ _4"> </span>+<span class="_ _6"> </span>copy</span></div><div class="t m0 x9 hf y126 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>str2.substr(<span class="fc7">0</span>,<span class="_ _6"> </span><span class="fc7">3</span>);<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _4"> </span>print<span class="_ _6"> </span>"abc"</span></div><div class="t m0 x9 hf y127 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>string_view<span class="_ _6"> </span><span class="fc3">str3</span>(str1);<span class="_ _32"> </span><span class="ffd fc6">//<span class="_ _6"> </span>reference</span></div><div class="t m0 x9 hf y128 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>str3.substr(<span class="fc7">0</span>,<span class="_ _6"> </span><span class="fc7">3</span>);<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _4"> </span>print<span class="_ _6"> </span>"abc"</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">27/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf1f" class="pf w0 h0" data-page-no="1f"><div class="pc pc1f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::string_view<span class="_ _2f"> </span><span class="ff1">3/3</span></div><div class="t m0 x9 ha y129 ff7 fs6 fc0 sc0 ls0 ws0">std::string_view<span class="_ _b"> </span><span class="ff4">supp<span class="_ _a"></span>o<span class="_ _3"></span>rts<span class="_ _b"> </span><span class="ff7">constexpr<span class="_ _b"> </span></span>constructo<span class="_ _3"></span>r<span class="_ _9"> </span>and<span class="_ _c"> </span>metho<span class="_ _a"></span>ds</span></div><div class="t m0 x9 hb y12a ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="ff9 fc0">std<span class="fc7">::</span>string_view<span class="_"> </span>str1(<span class="fc9">"abc"</span>);</span></div><div class="t m0 x9 hb y12b ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="ff9 fc0">std<span class="fc7">::</span>string_view<span class="_"> </span>str2<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"abc"</span></span>;</span></div><div class="t m0 x9 hb y12c ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="fc8">char<span class="_ _6"> </span><span class="ff9 fc0">c<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>str1[<span class="fc7">0</span>];<span class="_ _1a"> </span><span class="ffd fc6">//<span class="_ _e"> </span><span class="ff11">'</span>a<span class="ff11">'</span></span></span></span></div><div class="t m0 x9 hb y12d ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="fc8">bool<span class="_ _6"> </span><span class="ff9 fc0">b<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>(str1<span class="_"> </span><span class="fc7">==<span class="_"> </span></span>str2);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span><span class="ff11">'</span>true<span class="ff11">'</span></span></span></span></div><div class="t m0 x9 hb y12e ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="fc8">int<span class="_ _6"> </span><span class="ff9 fc0">size<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>str1.size();<span class="_ _33"> </span><span class="ffd fc6">//<span class="_ _e"> </span><span class="ff11">'</span>3<span class="ff11">'</span></span></span></span></div><div class="t m0 x9 hb y12f ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="ff9 fc0">std<span class="fc7">::</span>string_view<span class="_"> </span>str3<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>str1.substr(<span class="fc7">0</span>,<span class="_"> </span><span class="fc7">2</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>"ab"</span></span></div><div class="t m0 x9 hb y130 ff5 fs7 fcb sc0 ls0 ws0">constexpr<span class="_ _e"> </span><span class="fc8">int<span class="_ _6"> </span><span class="ff9 fc0">pos<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>str1.find(<span class="fc9">"bc"</span>);<span class="_ _34"> </span><span class="ffd fc6">//<span class="_ _e"> </span><span class="ff11">'</span>1<span class="ff11">'</span></span></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">28/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf20" class="pf w0 h0" data-page-no="20"><div class="pc pc20 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::format<span class="_ _24"> </span><span class="ff1">1/2</span></div><div class="t m0 x9 ha y131 ff7 fs6 fc0 sc0 ls0 ws0">printf<span class="_ _b"> </span><span class="fff">functions<span class="_ _0"></span><span class="ff4">:<span class="_ _e"> </span>no<span class="_ _c"> </span>automatic<span class="_ _c"> </span>type<span class="_ _c"> </span>deduction,<span class="_ _c"> </span>error<span class="_ _9"> </span>prone,<span class="_ _9"> </span>not<span class="_ _c"> </span>extensible</span></span></div><div class="t m0 x9 ha y132 ff7 fs6 fc0 sc0 ls0 ws0">stream<span class="_ _b"> </span><span class="fff">objects<span class="_ _0"></span><span class="ff4">:<span class="_ _e"> </span>very<span class="_ _c"> </span>verb<span class="_ _a"></span>ose,<span class="_ _c"> </span>ha<span class="_ _3"></span>rd<span class="_ _c"> </span>to<span class="_ _c"> </span>optimize</span></span></div><div class="t m0 x1 ha y133 ff4 fs6 fce sc0 ls0 ws0">C++20<span class="_ _b"> </span><span class="ff7 fc3">std::format<span class="_ _b"> </span></span><span class="fc0">p<span class="_ _3"></span>rovides<span class="_ _c"> </span>p<span class="_ _3"></span>ython<span class="_ _c"> </span>st<span class="_ _3"></span>yle<span class="_ _c"> </span>formatting:</span></div><div class="t m0 xa ha y134 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">T<span class="_ _23"></span>yp<span class="_ _a"></span>e-safe</span></div><div class="t m0 xa ha y135 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Supp<span class="_ _a"></span>ort<span class="_ _9"> </span>p<span class="_ _a"></span>ositional<span class="_ _c"> </span>a<span class="_ _3"></span>rguments</span></div><div class="t m0 xa ha y136 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Extensible<span class="_ _c"> </span>(supp<span class="_ _a"></span>ort<span class="_ _9"> </span>user-defined<span class="_ _c"> </span>types)</span></div><div class="t m0 xa ha y137 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Return<span class="_ _c"> </span>a<span class="_ _b"> </span><span class="ff7">std::string</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">29/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf21" class="pf w0 h0" data-page-no="21"><div class="pc pc21 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::format<span class="_ _6"> </span><span class="ff1">-<span class="_ _6"> </span>Example<span class="_ _35"> </span>2/2</span></div><div class="t m0 x1 ha y138 ff4 fs6 fc0 sc0 ls0 ws0">Integer<span class="_ _c"> </span>fo<span class="_ _3"></span>rmatting</div><div class="t m0 x9 hb y139 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{}"</span>,<span class="_"> </span><span class="fc7">3</span>);<span class="_ _2e"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"3"</span></div><div class="t m0 x9 hb y13a ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{:b}"</span>,<span class="_"> </span><span class="fc7">3</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"101"</span></div><div class="t m0 x1 ha y13b ff4 fs6 fc0 sc0 ls0 ws0">Floating<span class="_ _c"> </span>p<span class="_ _a"></span>oint<span class="_ _9"> </span>formatting</div><div class="t m0 x9 hb y13c ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{:.1f}"</span>,<span class="_"> </span><span class="fc7">3.273</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"3.1"</span></div><div class="t m0 x1 ha y13d ff4 fs6 fc0 sc0 ls0 ws0">Alignment</div><div class="t m0 x9 hb y13e ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{:>6}"</span>,<span class="_"> </span><span class="fc7">3.27</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"<span class="_ _1"> </span>3.27"</span></div><div class="t m0 x9 hb y13f ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{:<6}"</span>,<span class="_"> </span><span class="fc7">3.27</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"3.27<span class="_ _1"> </span>"</span></div><div class="t m0 x1 ha y140 ff4 fs6 fc0 sc0 ls0 ws0">Argument<span class="_ _c"> </span>reo<span class="_ _3"></span>rdering</div><div class="t m0 x9 hb y141 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>format(<span class="fc9">"{1}<span class="_"> </span>-<span class="_"> </span>{0}"</span>,<span class="_"> </span><span class="fc7">1</span>,<span class="_"> </span><span class="fc7">3</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"3<span class="_ _6"> </span>-<span class="_ _e"> </span>1"</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">30/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf22" class="pf w0 h0" data-page-no="22"><div class="pc pc22 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h11 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::print</div><div class="t m0 x1 ha y142 ff4 fs6 fce sc0 ls0 ws0">C++23<span class="_ _c"> </span><span class="fc0">intro<span class="_ _a"></span>duces<span class="_ _b"> </span><span class="ff7">std::print()<span class="_ _1b"> </span>std::println()</span></span></div><div class="t m0 x9 hb y143 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>print(<span class="fc9">"Hello,<span class="_"> </span>{}!<span class="ff5 fcc">\n</span>"</span>,<span class="_"> </span>name);</div><div class="t m0 x9 hb y144 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>println(<span class="fc9">"Hello,<span class="_"> </span>{}!"</span>,<span class="_"> </span>name);<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>prints<span class="_ _6"> </span>a<span class="_ _e"> </span>newline</span></div><div class="t m0 xa hb y145 ff9 fs7 fcd sc0 ls0 ws0">std::print<span class="_"> </span>in<span class="_"> </span>C++23</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">31/87</div><a class="l" href="https://vitaut.net/posts/2023/print-in-cpp23/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:3.119000px;width:91.432000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf23" class="pf w0 h0" data-page-no="23"><div class="pc pc23 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">View</div><a class="l" href="#pf23" data-dest-detail='[35,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:137.252000px;width:57.625000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf24" class="pf w0 h0" data-page-no="24"><div class="pc pc24 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::span<span class="_ _36"> </span><span class="ff1">1/3</span></div><div class="t m0 x1 ha y146 ff4 fs6 fce sc0 ls0 ws0">C++20<span class="_ _c"> </span><span class="fc0">intro<span class="_ _a"></span>duces<span class="_ _b"> </span><span class="ff5">std::span<span class="_ _b"> </span></span>which<span class="_ _9"> </span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>non-owning<span class="_ _9"> </span>view<span class="_ _c"> </span>of<span class="_ _c"> </span>an<span class="_ _c"> </span>underlying<span class="_ _c"> </span>sequence</span></div><div class="t m0 x1 ha y147 ff4 fs6 fc0 sc0 ls0 ws0">o<span class="_ _3"></span>r<span class="_ _c"> </span>a<span class="_ _3"></span>rra<span class="_ _3"></span>y</div><div class="t m0 x1 ha y148 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _b"> </span><span class="ff7">std::span<span class="_ _b"> </span></span>can<span class="_ _c"> </span>either<span class="_ _c"> </span>have<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="fff">static<span class="_ _6"> </span></span>extent,<span class="_ _c"> </span>in<span class="_ _c"> </span>which<span class="_ _c"> </span>case<span class="_ _c"> </span>the<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _c"> </span>of<span class="_ _c"> </span>elements</div><div class="t m0 x1 ha y149 ff4 fs6 fc0 sc0 ls0 ws0">in<span class="_ _c"> </span>the<span class="_ _c"> </span>sequence<span class="_ _c"> </span>is<span class="_ _c"> </span>kno<span class="_ _3"></span>wn<span class="_ _c"> </span>at<span class="_ _c"> </span>compile-time,<span class="_ _c"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="fff">dynamic<span class="_ _6"> </span></span>extent</div><div class="t m0 x9 hb y14a ff5 fs7 fcb sc0 ls0 ws0">template<span class="ff9 fc7"><</span></div><div class="t m0 x6 hb y14b ff5 fs7 fcb sc0 ls0 ws0">class<span class="_ _2d"> </span><span class="fc3">T<span class="ff9 fc0">,</span></span></div><div class="t m0 x6 hb y14c ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::<span class="ff5 fc8">size_t<span class="_ _e"> </span></span></span>Extent<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>dynamic_extent</div><div class="t m0 x9 hb y14d ff9 fs7 fc7 sc0 ls0 ws0">><span class="_"> </span><span class="ff5 fcb">class<span class="_ _e"> </span><span class="fc3">span</span></span><span class="fc0">;</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">32/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf25" class="pf w0 h0" data-page-no="25"><div class="pc pc25 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::span<span class="_ _36"> </span><span class="ff1">2/3</span></div><div class="t m0 x9 hb y14e ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><span></span></div><div class="t m0 x9 hb y14f ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><array></span></div><div class="t m0 x9 hb y150 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><vector></span></div><div class="t m0 x9 hb y151 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">array1[]<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>{<span class="fc7">1</span>,<span class="_"> </span><span class="fc7">2</span>,<span class="_"> </span><span class="fc7">3</span>};</span></div><div class="t m0 x9 hb y152 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>span<span class="_"> </span>s1{array1};<span class="_ _20"> </span><span class="ffd fc6">//<span class="_ _e"> </span>static<span class="_ _6"> </span>extent</span></div><div class="t m0 x9 hb y153 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>array<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span><span class="fc7">3><span class="_"> </span></span>array2<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>{<span class="fc7">1</span>,<span class="_"> </span><span class="fc7">2</span>,<span class="_"> </span><span class="fc7">3</span>};</div><div class="t m0 x9 hb y154 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>span<span class="_"> </span>s2{array2};<span class="_ _20"> </span><span class="ffd fc6">//<span class="_ _e"> </span>static<span class="_ _6"> </span>extent</span></div><div class="t m0 x9 hb y155 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">array3<span class="_"> </span><span class="fc7">=<span class="_"> </span></span></span>new<span class="_ _6"> </span><span class="fc8">int<span class="ff9 fc0">[<span class="fc7">3</span>];</span></span></div><div class="t m0 x9 hb y156 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>span<span class="_"> </span>s3{array3,<span class="_"> </span><span class="fc7">3</span>};<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>dynamic<span class="_ _6"> </span>extent</span></div><div class="t m0 x9 hb y157 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>vector<span class="fc7"><<span class="ff5 fc8">int</span>><span class="_"> </span></span>v{<span class="fc7">1</span>,<span class="_"> </span><span class="fc7">2</span>,<span class="_"> </span><span class="fc7">3</span>};</div><div class="t m0 x9 hb y158 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>span<span class="_"> </span>s4{v.data(),<span class="_"> </span>v.size()};<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>dynamic<span class="_ _6"> </span>extent</span></div><div class="t m0 x9 hb y159 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>span<span class="_"> </span>s5{v};<span class="_ _25"> </span><span class="ffd fc6">//<span class="_ _e"> </span>dynamic<span class="_ _6"> </span>extent</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">33/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf26" class="pf w0 h0" data-page-no="26"><div class="pc pc26 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::span<span class="_ _36"> </span><span class="ff1">3/3</span></div><div class="t m0 x9 hb y15a ff5 fs7 fc8 sc0 ls0 ws0">void<span class="_ _e"> </span><span class="ff9 fc3">f<span class="fc0">(std<span class="fc7">::</span>span<span class="fc7"><</span></span></span>int<span class="ff9 fc7">><span class="_"> </span><span class="fc0">span)<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb y15b ff5 fs7 fcb sc0 ls0 ws0">for<span class="_ _e"> </span><span class="ff9 fc0">(</span>auto<span class="_ _6"> </span><span class="ff9 fc0">x<span class="_"> </span><span class="fc7">:<span class="_"> </span></span>span)<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>range-based<span class="_ _e"> </span>loop<span class="_ _6"> </span>(safe)</span></span></div><div class="t m0 x1f hb y15c ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>x;</div><div class="t m0 x6 hb y15d ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>fill(span.begin(),<span class="_"> </span>span.end(),<span class="_"> </span><span class="fc7">3</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>std<span class="_ _6"> </span>algorithms</span></div><div class="t m0 x9 hb y15e ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x9 hb y15f ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">array1[]<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>{<span class="fc7">1</span>,<span class="_"> </span><span class="fc7">2</span>,<span class="_"> </span><span class="fc7">3</span>};</span></div><div class="t m0 x9 hb y160 ff9 fs7 fc0 sc0 ls0 ws0">f(array1);</div><div class="t m0 x9 hb y161 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">array2<span class="_"> </span><span class="fc7">=<span class="_"> </span></span></span>new<span class="_ _6"> </span><span class="fc8">int<span class="ff9 fc0">[<span class="fc7">3</span>];</span></span></div><div class="t m0 x9 hb y162 ff9 fs7 fc0 sc0 ls0 ws0">f({array2,<span class="_"> </span><span class="fc7">3</span>});</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">34/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf27" class="pf w0 h0" data-page-no="27"><div class="pc pc27 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Math<span class="_ _1"> </span>Lib<span class="_ _23"></span>ra<span class="_ _23"></span>ries</div><a class="l" href="#pf27" data-dest-detail='[39,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:137.252000px;width:166.296000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf28" class="pf w0 h0" data-page-no="28"><div class="pc pc28 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0"><cmath><span class="_ _6"> </span><span class="ff1">Math<span class="_ _6"> </span>Lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry<span class="_ _37"> </span>1/2</span></div><div class="t m0 x9 hd y60 ff5 fs6 fc0 sc0 ls0 ws0"><cmath><span class="_ _13"> </span><span class="ff15 fs8"></span></div><div class="t m0 x20 h5 y163 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">fabs<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>absolute<span class="_ _9"> </span>value,<span class="_ _9"> </span><span class="ffb">|<span class="fff">x<span class="_ _38"></span></span>|</span>,<span class="_ _9"> </span><span class="fce">C++11</span></span></span></span></div><div class="t m0 x20 h5 y164 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">exp<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">returns<span class="_ _9"> </span>e<span class="_ _9"> </span>raised<span class="_ _9"> </span>to<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>p<span class="_ _a"></span>o<span class="_ _3"></span>w<span class="_ _3"></span>er,<span class="_ _9"> </span><span class="fff">e</span></span></span></span></div><div class="t m0 x21 h12 y165 ff16 fs9 fc0 sc0 ls0 ws0">x</div><div class="t m0 x20 h5 y166 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">exp2<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">returns<span class="_ _9"> </span>2<span class="_ _9"> </span>raised<span class="_ _9"> </span>to<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>p<span class="_ _a"></span>o<span class="_ _3"></span>w<span class="_ _3"></span>er,<span class="_ _9"> </span>2</span></span></span></div><div class="t m0 x22 h12 y167 ff16 fs9 fc0 sc0 ls0 ws0">x</div><div class="t m0 x23 h5 y166 ff4 fs3 fc0 sc0 ls0 ws0">,<span class="_ _9"> </span><span class="fce">C++11</span></div><div class="t m0 x20 h5 y168 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">log<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>natural<span class="_ _9"> </span>(base<span class="_ _9"> </span><span class="fff">e<span class="_ _a"></span></span>)<span class="_ _9"> </span>logarithm,<span class="_ _9"> </span><span class="ff17">log</span></span></span></span></div><div class="t m0 x24 h12 y169 ff16 fs9 fc0 sc0 ls0 ws0">e</div><div class="t m0 x25 h5 y168 ff17 fs3 fc0 sc0 ls0 ws0">(<span class="fff">x<span class="_ _38"></span></span>)</div><div class="t m0 x20 h5 y16a ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">log10<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>base<span class="_ _9"> </span>10<span class="_ _9"> </span>logarithm,<span class="_ _12"> </span><span class="ff17">log</span></span></span></span></div><div class="t m0 x26 h13 y16b ff6 fs9 fc0 sc0 ls0 ws0">10</div><div class="t m0 x27 h5 y16a ff17 fs3 fc0 sc0 ls0 ws0">(<span class="fff">x<span class="_ _38"></span></span>)</div><div class="t m0 x20 h5 y16c ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">log2<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>base<span class="_ _9"> </span>2<span class="_ _9"> </span>logarithm,<span class="_ _12"> </span><span class="ff17">log</span></span></span></span></div><div class="t m0 x1e h13 y16d ff6 fs9 fc0 sc0 ls0 ws0">2</div><div class="t m0 x28 h5 y16c ff17 fs3 fc0 sc0 ls0 ws0">(<span class="fff">x<span class="_ _38"></span></span>)<span class="ff4">,<span class="_ _9"> </span><span class="fce">C++11</span></span></div><div class="t m0 x20 h5 y16e ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">pow<span class="fc0">(x,<span class="_"> </span>y)<span class="_ _10"> </span><span class="ff4">raises<span class="_ _9"> </span>a<span class="_ _9"> </span>numb<span class="_ _a"></span>er<span class="_ _9"> </span>to<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>pow<span class="_ _3"></span>er,<span class="_ _9"> </span><span class="fff">x</span></span></span></span></div><div class="t m0 x25 h12 y16f ff16 fs9 fc0 sc0 ls0 ws0">y</div><div class="t m0 x20 h5 y170 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">sqrt<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>square<span class="_ _12"> </span>ro<span class="_ _a"></span>ot,</span></span></span></div><div class="t m0 x29 h5 y171 ffb fs3 fc0 sc0 ls0 ws0">√</div><div class="t m0 x2a h5 y170 fff fs3 fc0 sc0 ls0 ws0">x</div><div class="t m0 x20 h5 y172 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">cqrt<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>cubic<span class="_ _9"> </span>ro<span class="_ _a"></span>ot,</span></span></span></div><div class="t m0 x2b h14 y173 ff6 fsa fc0 sc0 ls0 ws0">3</div><div class="t m0 x2c h5 y174 ffb fs3 fc0 sc0 ls0 ws0">√</div><div class="t m0 x2d h5 y172 fff fs3 fc0 sc0 ls0 ws0">x<span class="_ _38"></span><span class="ff4">,<span class="_ _9"> </span><span class="fce">C++11</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">35/87</div><a class="l" href="https://en.cppreference.com/w/cpp/header/cmath"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:203.189000px;width:57.069000px;height:14.510000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf29" class="pf w0 h0" data-page-no="29"><div class="pc pc29 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0"><cmath><span class="_ _6"> </span><span class="ff1">Math<span class="_ _6"> </span>Lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry<span class="_ _37"> </span>2/2</span></div><div class="t m0 x20 h5 y175 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">sin<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>sine,<span class="_ _9"> </span><span class="ff17">sin(<span class="fff">x<span class="_ _38"></span></span>)</span></span></span></span></div><div class="t m0 x20 h5 y176 ff8 fs3 fc0 sc0 ls0 ws0">•</div><div class="t m0 x9 h5 y177 ff7 fs3 fca sc0 ls0 ws0">cos<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>cosine,<span class="_ _9"> </span><span class="ff17">cos(<span class="fff">x<span class="_ _38"></span></span>)</span></span></span></div><div class="t m0 x20 h5 y178 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">tan<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">computes<span class="_ _9"> </span>tangent,<span class="_ _9"> </span><span class="ff17">tan(<span class="fff">x<span class="_ _38"></span></span>)</span></span></span></span></div><div class="t m0 x20 h5 y179 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">ceil<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">nearest<span class="_ _12"> </span>integer<span class="_ _9"> </span>not<span class="_ _9"> </span>less<span class="_ _9"> </span>than<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>value,<span class="_ _9"> </span><span class="ffb">⌈<span class="fff">x<span class="_ _38"></span></span>⌉</span></span></span></span></div><div class="t m0 x20 h5 y17a ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">floor<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">nearest<span class="_ _12"> </span>integer<span class="_ _9"> </span>not<span class="_ _9"> </span>greater<span class="_ _9"> </span>than<span class="_ _9"> </span>the<span class="_ _9"> </span>given<span class="_ _9"> </span>value,<span class="_ _9"> </span><span class="ffb">⌊<span class="fff">x<span class="_ _38"></span></span>⌋</span></span></span></span></div><div class="t m0 x20 h5 y17b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">round|lround|llround<span class="fc0">(x)<span class="_ _10"> </span><span class="ff4">nearest<span class="_ _12"> </span>integer,</span></span></span></div><div class="t m0 x21 h15 y17c ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x2e h5 y17b fff fs3 fc0 sc0 ls0 ws0">x<span class="_ _9"> </span><span class="ff17">+</span></div><div class="t m0 x2f h13 y17d ff6 fs9 fc0 sc0 ls0 ws0">1</div><div class="t m0 x2f h13 y17e ff6 fs9 fc0 sc0 ls0 ws0">2</div><div class="t m0 x30 h15 y17c ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x1 h5 y17f ff4 fs3 fc0 sc0 ls0 ws0">(return<span class="_ _9"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>e:<span class="_ _6"> </span>floating<span class="_ _9"> </span>point,<span class="_ _9"> </span><span class="ff7">long</span>,<span class="_ _9"> </span><span class="ff7">long<span class="_"> </span>long<span class="_ _9"> </span></span>resp<span class="_ _a"></span>ectively)</div><div class="t m0 x1 h5 y180 ff4 fs3 fc0 sc0 ls0 ws0">Math<span class="_ _e"> </span>functions<span class="_ _6"> </span>in<span class="_ _e"> </span><span class="fce">C++11<span class="_ _6"> </span></span>can<span class="_"> </span>be<span class="_ _e"> </span>applied<span class="_ _6"> </span>directly<span class="_"> </span>to<span class="_ _6"> </span>integral<span class="_ _e"> </span>t<span class="_ _3"></span>ypes<span class="_"> </span>without<span class="_ _6"> </span>implicit/explicit</div><div class="t m0 x1 h5 y181 ff4 fs3 fc0 sc0 ls0 ws0">casting<span class="_ _9"> </span>(return<span class="_ _9"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>e:<span class="_ _6"> </span>floating<span class="_ _9"> </span>point).</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">36/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2a" class="pf w0 h0" data-page-no="2a"><div class="pc pc2a w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0"><limits><span class="_ _6"> </span><span class="ff1">Numerical<span class="_ _6"> </span>Limits</span></div><div class="t m0 x1 ha y182 ff4 fs6 fc0 sc0 ls0 ws0">Get<span class="_ _c"> </span>numeric<span class="_ _c"> </span>limits<span class="_ _c"> </span>of<span class="_ _c"> </span>a<span class="_ _c"> </span>given<span class="_ _c"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>e:</div><div class="t m0 x9 ha y183 ff5 fs6 fc0 sc0 ls0 ws0"><limits><span class="_ _13"> </span><span class="ff15 fs8"><span class="_ _c"> </span></span><span class="ff4 fce">C++11</span></div><div class="t m0 x9 hb y184 ff9 fs7 fc0 sc0 ls0 ws0">T<span class="_"> </span>numeric_limits<span class="fc7"><</span>T<span class="fc7">>::<span class="_ _12"> </span><span class="fca">max</span></span>()<span class="_ _14"> </span><span class="ffd fc6">//<span class="_ _e"> </span>returns<span class="_ _6"> </span>the<span class="_ _e"> </span><span class="ff19">maximum<span class="_ _e"> </span></span>finite<span class="_ _6"> </span>value</span></div><div class="t m0 x31 hb y185 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>value<span class="_ _6"> </span>representable</div><div class="t m0 x9 hb y186 ff9 fs7 fc0 sc0 ls0 ws0">T<span class="_"> </span>numeric_limits<span class="fc7"><</span>T<span class="fc7">>::<span class="_ _12"> </span><span class="fca">min</span></span>()<span class="_ _14"> </span><span class="ffd fc6">//<span class="_ _e"> </span>returns<span class="_ _6"> </span>the<span class="_ _e"> </span><span class="ff19">minimum<span class="_ _e"> </span></span>finite<span class="_ _6"> </span>value</span></div><div class="t m0 x31 hb y187 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>value<span class="_ _6"> </span>representable</div><div class="t m0 x9 hb y188 ff9 fs7 fc0 sc0 ls0 ws0">T<span class="_"> </span>numeric_limits<span class="fc7"><</span>T<span class="fc7">>::<span class="_ _12"> </span><span class="fca">lowest</span></span>()<span class="_ _14"> </span><span class="ffd fc6">//<span class="_ _e"> </span>returns<span class="_ _6"> </span>the<span class="_ _e"> </span><span class="ff19">lowest<span class="_ _e"> </span></span>finite</span></div><div class="t m0 x32 hb y189 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>value<span class="_ _6"> </span>representable</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">37/87</div><a class="l" href="https://en.cppreference.com/w/cpp/types/numeric_limits"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:164.297000px;width:62.796000px;height:14.511000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2b" class="pf w0 h0" data-page-no="2b"><div class="pc pc2b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0"><numbers><span class="_ _6"> </span><span class="ff1">Mathematical<span class="_ _6"> </span>Constants</span></div><div class="t m0 x9 ha y18a ff5 fs6 fc0 sc0 ls0 ws0"><numbers><span class="_ _13"> </span><span class="ff15 fs8"><span class="_ _c"> </span></span><span class="ff4 fce">C++20</span></div><div class="t m0 x1 ha y18b ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>header<span class="_ _c"> </span>p<span class="_ _3"></span>rovides<span class="_ _c"> </span>numeric<span class="_ _c"> </span>constants</div><div class="t m0 xa ha y18c ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">e<span class="_ _b"> </span></span><span class="ff4">Euler<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _9"> </span><span class="fff">e</span></span></div><div class="t m0 xa ha y18d ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">pi<span class="_ _b"> </span></span><span class="ff10">π</span></div><div class="t m0 xa ha y18e ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">phi<span class="_ _b"> </span></span><span class="ff4">Golden<span class="_ _c"> </span>ratio</span></div><div class="t m0 x33 h9 y18f ff6 fs5 fc0 sc0 ls0 ws0">1<span class="ff1a">+</span></div><div class="t m0 x34 h16 y190 ff1b fs5 fc0 sc0 ls0 ws0">√</div><div class="t m0 x35 h9 y18f ff6 fs5 fc0 sc0 ls0 ws0">5</div><div class="t m0 x36 h9 y191 ff6 fs5 fc0 sc0 ls0 ws0">2</div><div class="t m0 xa ha y192 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">sqrt2</span></div><div class="t m0 x37 ha y193 ffb fs6 fc0 sc0 ls0 ws0">√</div><div class="t m0 xe ha y192 ff4 fs6 fc0 sc0 ls0 ws0">2</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">38/87</div><a class="l" href="https://en.cppreference.com/w/cpp/header/numbers"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:171.180000px;width:68.523000px;height:14.511000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2c" class="pf w0 h0" data-page-no="2c"><div class="pc pc2c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Integer<span class="_ _6"> </span>Division</div><div class="t m0 x1 ha y52 ff4 fs6 fc0 sc0 ls0 ws0">Integer<span class="_ _c"> </span>ceiling<span class="_ _c"> </span>division<span class="_ _c"> </span>and<span class="_ _c"> </span>rounded<span class="_ _c"> </span>division:</div><div class="t m0 x20 h5 y194 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Ceiling<span class="_ _c"> </span>Division:</span></div><div class="t m0 x8 h15 y195 ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x38 h10 y196 ff7 fs3 fc0 sc0 ls0 ws0">value</div><div class="t m0 x39 h10 y197 ff7 fs3 fc0 sc0 ls0 ws0">div</div><div class="t m0 x3a h15 y195 ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x9 hb y198 ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc3">ceil_div<span class="fc0">(</span></span>unsigned<span class="_ _6"> </span><span class="ff9 fc0">value,<span class="_"> </span></span>unsigned<span class="_ _e"> </span><span class="ff9 fc0">div)<span class="_"> </span>{</span></div><div class="t m0 x6 hb y199 ff5 fs7 fcb sc0 ls0 ws0">return<span class="_ _e"> </span><span class="ff9 fc0">(value<span class="_"> </span><span class="fc7">+<span class="_"> </span></span>div<span class="_"> </span><span class="fc7">-<span class="_"> </span>1</span>)<span class="_"> </span><span class="fc7">/<span class="_"> </span></span>div;</span></div><div class="t m0 x9 hb y19a ff9 fs7 fc0 sc0 ls0 ws0">}<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>note:<span class="_ _6"> </span>may<span class="_ _e"> </span>overflow</span></div><div class="t m0 x20 ha y19b ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Rounded<span class="_ _6"> </span>Division:</span></div><div class="t m0 x3b h15 y19c ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x3c he y19d ff7 fs6 fc0 sc0 ls0 ws0">value</div><div class="t m0 x3d he y19e ff7 fs6 fc0 sc0 ls0 ws0">div</div><div class="t m0 x31 ha y19b ff17 fs6 fc0 sc0 ls0 ws0">+</div><div class="t m0 x3e ha y19d ff4 fs6 fc0 sc0 ls0 ws0">1</div><div class="t m0 x3e ha y19e ff4 fs6 fc0 sc0 ls0 ws0">2</div><div class="t m0 x3f h15 y19c ff18 fs3 fc0 sc0 ls0 ws0"></div><div class="t m0 x9 hb y19f ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc3">round_div<span class="fc0">(</span></span>unsigned<span class="_ _6"> </span><span class="ff9 fc0">value,<span class="_"> </span></span>unsigned<span class="_ _e"> </span><span class="ff9 fc0">div)<span class="_"> </span>{</span></div><div class="t m0 x6 hb y1a0 ff5 fs7 fcb sc0 ls0 ws0">return<span class="_ _e"> </span><span class="ff9 fc0">(value<span class="_"> </span><span class="fc7">+<span class="_"> </span></span>div<span class="_"> </span><span class="fc7">/<span class="_"> </span>2</span>)<span class="_"> </span><span class="fc7">/<span class="_"> </span></span>div;</span></div><div class="t m0 x9 hb y1a1 ff9 fs7 fc0 sc0 ls0 ws0">}<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>note:<span class="_ _6"> </span>may<span class="_ _e"> </span>overflow</span></div><div class="t m0 x1 h5 y1a2 ff4 fs3 fc0 sc0 ls0 ws0">Note:<span class="_ _6"> </span>do<span class="_ _9"> </span>not<span class="_ _9"> </span>use<span class="_ _9"> </span>floating-p<span class="_ _a"></span>oint<span class="_ _9"> </span>conversion<span class="_ _9"> </span>(see<span class="_ _9"> </span><span class="ff7">Basic<span class="_"> </span>Concept<span class="_"> </span>I</span>)</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">39/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2d" class="pf w0 h0" data-page-no="2d"><div class="pc pc2d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Random<span class="_ _1"> </span>Numb<span class="_ _0"></span>er</div><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:137.252000px;width:196.090000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf2e" class="pf w0 h0" data-page-no="2e"><div class="pc pc2e w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Random<span class="_ _6"> </span>Numb<span class="_ _a"></span>er</div><div class="t m0 x6 ha y1a3 fff fs6 fc0 sc0 ls0 ws0">“Random<span class="_ _12"> </span>numb<span class="_ _a"></span>ers<span class="_ _12"> </span>should<span class="_ _9"> </span>not<span class="_ _12"> </span>b<span class="_ _a"></span>e<span class="_ _12"> </span>generated<span class="_ _9"> </span>with<span class="_ _12"> </span>a<span class="_ _12"> </span>metho<span class="_ _a"></span>d<span class="_ _9"> </span>chosen<span class="_ _12"> </span>at<span class="_ _12"> </span>random”</div><div class="t m0 x6 ha y1a4 fff fs6 fc0 sc0 ls0 ws0">—<span class="_ _c"> </span><span class="ff1c">Donald<span class="_ _4"> </span>E.<span class="_ _4"> </span>Knuth</span></div><div class="t m0 x40 hc y1a5 ff1 fs7 fc0 sc0 ls0 ws0">Applications<span class="ffc">:<span class="_ _4"> </span>cryptography<span class="_ _23"></span>,<span class="_ _9"> </span>simulations<span class="_ _12"> </span>(e.g.<span class="_ _6"> </span>Monte<span class="_ _12"> </span>Ca<span class="_ _3"></span>rlo),<span class="_ _12"> </span>etc.</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">40/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Random<span class="_ _6"> </span>Numb<span class="_ _a"></span>er</div><div class="t m0 xa hc y1a6 ffc fs7 fcd sc0 ls0 ws0">see<span class="_ _12"> </span><span class="ff9">Lavarand</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">41/87</div><a class="l" href="https://en.wikipedia.org/wiki/Lavarand"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:0.041000px;width:54.448000px;height:13.444000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf30" class="pf w0 h0" data-page-no="30"><div class="pc pc30 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIX0lEQVR42u3YsQ3CMBRFURvFSskMUSomQIgaic2yRMZJkSGyAVVK3JiOKjX6QueM8Kqrl8frPQEAQBjbupysAABANCIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAICvXGu1AgAAcZRSPKkAAIQjUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkmAABApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUk0AAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIA8D+6fRqsAHDo9ZiNAPB7l9sz53Pf9ndKrTWDAAAQwgfoZRQEqKnacQAAAABJRU5ErkJggg=="/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Basic<span class="_ _6"> </span>Concepts</div><div class="t m0 xa h5 y1a7 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">A<span class="_ _9"> </span><span class="ff1">pseudorandom<span class="_ _9"> </span>(PRNG)<span class="_ _9"> </span><span class="fff">sequence<span class="_ _9"> </span>of<span class="_ _9"> </span>numb<span class="_ _a"></span>ers<span class="_ _6"> </span></span></span>satisfies<span class="_ _12"> </span>most<span class="_ _9"> </span>of<span class="_ _9"> </span>the<span class="_ _9"> </span>statistical</span></div><div class="t m0 x6 h5 y1a8 ff4 fs3 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>rop<span class="_ _a"></span>erties<span class="_ _9"> </span>of<span class="_ _9"> </span>a<span class="_ _9"> </span>truly<span class="_ _9"> </span>random<span class="_ _9"> </span>sequence<span class="_ _9"> </span>but<span class="_ _9"> </span>is<span class="_ _9"> </span>generated<span class="_ _9"> </span>b<span class="_ _3"></span>y<span class="_ _9"> </span>a<span class="_ _9"> </span><span class="fff">deterministic<span class="_ _4"> </span></span>algorithm</div><div class="t m0 x6 h5 y1a9 ff4 fs3 fc0 sc0 ls0 ws0">(deterministic<span class="_ _9"> </span>finite-state<span class="_ _9"> </span>machine)</div><div class="t m0 xa h5 y1aa ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">A<span class="_ _9"> </span><span class="ff1">quasirandom<span class="_ _9"> </span><span class="fff">sequence<span class="_ _9"> </span>of<span class="_ _9"> </span>n<span class="_ _a"></span>-dimensional<span class="_ _9"> </span>points<span class="_ _6"> </span></span></span>is<span class="_ _9"> </span>generated<span class="_ _9"> </span>b<span class="_ _3"></span>y<span class="_ _9"> </span>a<span class="_ _9"> </span><span class="fff">deterministic</span></span></div><div class="t m0 x6 h5 y1ab ff4 fs3 fc0 sc0 ls0 ws0">algo<span class="_ _3"></span>rithm<span class="_ _9"> </span>designed<span class="_ _9"> </span>to<span class="_ _9"> </span>fill<span class="_ _9"> </span>an<span class="_ _9"> </span><span class="fff">n</span>-dimensional<span class="_ _9"> </span>space<span class="_ _9"> </span>evenly</div><div class="t m0 xa h5 y1ac ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">The<span class="_ _9"> </span><span class="ff1">state<span class="_ _9"> </span></span>of<span class="_ _9"> </span>a<span class="_ _9"> </span>PRNG<span class="_ _9"> </span>describ<span class="_ _a"></span>es<span class="_ _9"> </span>the<span class="_ _9"> </span>status<span class="_ _9"> </span>of<span class="_ _9"> </span>the<span class="_ _9"> </span>generator<span class="_ _12"> </span>(the<span class="_ _9"> </span>values<span class="_ _9"> </span>of<span class="_ _9"> </span>its<span class="_ _9"> </span>variables),</span></div><div class="t m0 x6 h5 y1ad ff4 fs3 fc0 sc0 ls0 ws0">namely<span class="_ _9"> </span>where<span class="_ _9"> </span>the<span class="_ _9"> </span>system<span class="_ _9"> </span>is<span class="_ _9"> </span>after<span class="_ _9"> </span>a<span class="_ _9"> </span>certain<span class="_ _9"> </span>amount<span class="_ _9"> </span>of<span class="_ _9"> </span>transitions</div><div class="t m0 xa h5 y1ae ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">The<span class="_ _9"> </span><span class="ff1">seed<span class="_ _9"> </span></span>is<span class="_ _9"> </span>a<span class="_ _9"> </span>value<span class="_ _9"> </span>that<span class="_ _9"> </span>initializes<span class="_ _9"> </span>the<span class="_ _9"> </span><span class="fff">starting<span class="_ _9"> </span>state<span class="_ _c"> </span></span>of<span class="_ _9"> </span>a<span class="_ _9"> </span>PRNG.<span class="_ _9"> </span>The<span class="_ _9"> </span>same<span class="_ _9"> </span>seed<span class="_ _9"> </span>alwa<span class="_ _3"></span>ys</span></div><div class="t m0 x6 h5 y1af ff4 fs3 fc0 sc0 ls0 ws0">p<span class="_ _3"></span>ro<span class="_ _a"></span>duces<span class="_ _9"> </span>the<span class="_ _9"> </span>same<span class="_ _9"> </span>sequence<span class="_ _9"> </span>of<span class="_ _9"> </span>results</div><div class="t m0 xa h5 y1b0 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">The<span class="_ _9"> </span><span class="ff1">offset<span class="_ _9"> </span></span>of<span class="_ _9"> </span>a<span class="_ _9"> </span>sequence<span class="_ _9"> </span>is<span class="_ _9"> </span>used<span class="_ _9"> </span>to<span class="_ _9"> </span>skip<span class="_ _9"> </span>ahead<span class="_ _9"> </span>in<span class="_ _9"> </span>the<span class="_ _9"> </span>sequence</span></div><div class="t m0 xa h5 y1b1 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">PRNGs<span class="_ _9"> </span>produce<span class="_ _9"> </span><span class="ff1">unifo<span class="_ _3"></span>rmly<span class="_ _9"> </span>distributed<span class="_ _9"> </span><span class="ff4">values.<span class="_ _6"> </span>PRNGs<span class="_ _12"> </span>can<span class="_ _9"> </span>also<span class="_ _12"> </span>generate<span class="_ _9"> </span>values<span class="_ _12"> </span>according</span></span></span></div><div class="t m0 x6 h5 y1b2 ff4 fs3 fc0 sc0 ls0 ws0">to<span class="_ _9"> </span>a<span class="_ _9"> </span>p<span class="_ _3"></span>robability<span class="_ _12"> </span>function<span class="_ _9"> </span>(binomial,<span class="_ _9"> </span>normal,<span class="_ _9"> </span>etc.)</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">42/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf31" class="pf w0 h0" data-page-no="31"><div class="pc pc31 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">C++<span class="_ _6"> </span><random><span class="_ _39"> </span>1/2</div><div class="t m0 x1 ha y60 ff1 fs6 fc0 sc0 ls0 ws0">The<span class="_ _4"> </span>problem<span class="ff4">:<span class="_ _6"> </span><span class="ff7">C<span class="_"> </span>rand()<span class="_ _c"> </span><span class="fff">function<span class="_ _c"> </span>produces<span class="_ _c"> </span>p<span class="_ _a"></span>o<span class="_ _a"></span>o<span class="_ _3"></span>r<span class="_ _c"> </span>qualit<span class="_ _3"></span>y<span class="_ _c"> </span>random<span class="_ _c"> </span>numb<span class="_ _a"></span>ers</span></span></span></div><div class="t m0 xc h5 y61 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _7"> </span><span class="ff4">C++14<span class="_ _9"> </span>discourage<span class="_ _9"> </span>the<span class="_ _9"> </span>use<span class="_ _9"> </span>of<span class="_ _b"> </span><span class="ff7">rand()<span class="_ _13"> </span></span>and<span class="_ _b"> </span><span class="ff7">srand()</span></span></div><div class="t m0 x1 ha y1b3 ff4 fs6 fce sc0 ls0 ws0">C++11<span class="_"> </span><span class="fc0">introduces<span class="_"> </span>pseudo<span class="_"> </span>random<span class="_"> </span>number<span class="_"> </span>generation<span class="_"> </span>(PRNG)<span class="_"> </span>facilities<span class="_ _8"> </span>to<span class="_"> </span>p<span class="_ _23"></span>ro<span class="_ _a"></span>duce</span></div><div class="t m0 x1 ha y1b4 ff4 fs6 fc0 sc0 ls0 ws0">random<span class="_ _c"> </span>numb<span class="_ _a"></span>ers<span class="_ _9"> </span>by<span class="_ _9"> </span>using<span class="_ _c"> </span>combinations<span class="_ _c"> </span>of<span class="_ _c"> </span>generators<span class="_ _9"> </span>and<span class="_ _c"> </span>distributions</div><div class="t m0 x1 ha y1b5 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _c"> </span>random<span class="_ _c"> </span>generato<span class="_ _3"></span>r<span class="_ _c"> </span>requires<span class="_ _c"> </span>four<span class="_ _c"> </span>steps:</div><div class="t m0 x9 h5 y1b6 ff4 fs3 fc0 sc0 ls0 ws0">(1)<span class="_ _8"> </span><span class="ff1">Select<span class="_ _c"> </span>the<span class="_ _c"> </span>seed</span></div><div class="t m0 x9 h5 y1b7 ff4 fs3 fc0 sc0 ls0 ws0">(2)<span class="_ _8"> </span><span class="ff1">Define<span class="_ _c"> </span>the<span class="_ _c"> </span>random<span class="_ _4"> </span>engine<span class="_ _9"> </span></span>(optional)</div><div class="t m0 xb h10 y1b8 ff10 fs3 fc0 sc0 ls0 ws0"><<span class="ff7">type_of_random_engine</span>><span class="_ _8"> </span><span class="ff7">generator(seed)</span></div><div class="t m0 x9 h5 y1b9 ff4 fs3 fc0 sc0 ls0 ws0">(3)<span class="_ _8"> </span><span class="ff1">Define<span class="_ _c"> </span>the<span class="_ _c"> </span>distribution</span></div><div class="t m0 xb h10 y1ba ff10 fs3 fc0 sc0 ls0 ws0"><<span class="ff7">type_of_distribution</span>><span class="_ _8"> </span><span class="ff7">distribution(range_start,<span class="_"> </span>range_end)</span></div><div class="t m0 x9 h5 y1bb ff4 fs3 fc0 sc0 ls0 ws0">(4)<span class="_ _8"> </span><span class="ff1">Pro<span class="_ _a"></span>duce<span class="_ _c"> </span>the<span class="_ _c"> </span>random<span class="_ _c"> </span>numb<span class="_ _a"></span>er</span></div><div class="t m0 xb h10 y1bc ff7 fs3 fc0 sc0 ls0 ws0">distribution(generator)</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">43/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf32" class="pf w0 h0" data-page-no="32"><div class="pc pc32 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">C++<span class="_ _6"> </span><random><span class="_ _39"> </span>2/2</div><div class="t m0 x1 ha y1bd ff4 fs6 fc0 sc0 ls0 ws0">Simplest<span class="_ _c"> </span>example:</div><div class="t m0 x9 hb y1be ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><iostream></span></div><div class="t m0 x9 hb y1bf ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><random></span></div><div class="t m0 x9 hb y1c0 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb y1c1 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>random_device<span class="_ _34"> </span>rd;</div><div class="t m0 x6 hb y1c2 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>default_random_engine<span class="_ _25"> </span>generator{rd{}};</div><div class="t m0 x6 hb y1c3 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>uniform_int_distribution<span class="fc7"><<span class="ff5 fc8">int</span>><span class="_"> </span></span>distribution{<span class="fc7">0</span>,<span class="_"> </span><span class="fc7">9</span>};</div><div class="t m0 x6 hb y1c4 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>distribution(generator);<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>first<span class="_ _6"> </span>random<span class="_ _e"> </span>number</span></div><div class="t m0 x6 hb y1c5 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>distribution(generator);<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>second<span class="_ _6"> </span>random<span class="_ _e"> </span>number</span></div><div class="t m0 x9 hb y1c6 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x1 ha y1c7 ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _c"> </span>generates<span class="_ _c"> </span>t<span class="_ _3"></span>w<span class="_ _3"></span>o<span class="_ _c"> </span>random<span class="_ _c"> </span>integer<span class="_ _c"> </span>numb<span class="_ _a"></span>ers<span class="_ _9"> </span>in<span class="_ _c"> </span>the<span class="_ _c"> </span>range<span class="_ _4"> </span>[0,<span class="_ _c"> </span>9]<span class="_ _c"> </span>b<span class="_ _3"></span>y<span class="_ _c"> </span>using<span class="_ _c"> </span>the<span class="_ _c"> </span>default</div><div class="t m0 x1 ha y1c8 ff4 fs6 fc0 sc0 ls0 ws0">random<span class="_ _c"> </span>engine</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">44/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf33" class="pf w0 h0" data-page-no="33"><div class="pc pc33 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Seed<span class="_ _3a"> </span>1/4</div><div class="t m0 x1 ha y60 ff4 fs6 fc0 sc0 ls0 ws0">Given<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="ff1">seed</span>,<span class="_ _c"> </span>the<span class="_ _c"> </span>generato<span class="_ _3"></span>r<span class="_ _c"> </span>p<span class="_ _3"></span>ro<span class="_ _a"></span>duces<span class="_ _9"> </span>alwa<span class="_ _3"></span>ys<span class="_ _c"> </span>the<span class="_ _c"> </span><span class="ff1">same<span class="_ _4"> </span>sequence</span></div><div class="t m0 x1 h5 y1c9 ff4 fs3 fc0 sc0 ls0 ws0">The<span class="_ _9"> </span>seed<span class="_ _9"> </span>could<span class="_ _9"> </span>b<span class="_ _a"></span>e<span class="_ _12"> </span>selected<span class="_ _9"> </span>randomly<span class="_ _9"> </span>by<span class="_ _9"> </span>using<span class="_ _9"> </span>the<span class="_ _9"> </span>current<span class="_ _9"> </span>time:</div><div class="t m0 x9 hb y1ca ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><random></span></div><div class="t m0 x9 hb y1cb ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><chrono></span></div><div class="t m0 x9 hb y1cc ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc0">seed<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>system_clock<span class="fc7">::</span>now()</span></div><div class="t m0 x8 hb y1cd ff9 fs7 fc0 sc0 ls0 ws0">.time_since_epoch().count();</div><div class="t m0 x9 hb y1ce ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>default_random_engine<span class="_"> </span>generator{seed};</div><div class="t m0 x9 hc y1cf ff9 fs7 fc0 sc0 ls0 ws0">chrono::system_clock::now()<span class="_ _13"> </span><span class="ffc">returns<span class="_ _12"> </span>an<span class="_ _9"> </span>object<span class="_ _12"> </span>representing<span class="_ _12"> </span>the<span class="_ _12"> </span>current<span class="_ _9"> </span>point<span class="_ _9"> </span>in<span class="_ _12"> </span>time</span></div><div class="t m0 x9 hc y1d0 ff9 fs7 fc0 sc0 ls0 ws0">.time_since_epoch().count()<span class="_ _13"> </span><span class="ffc">returns<span class="_ _12"> </span>the<span class="_ _9"> </span>count<span class="_ _12"> </span>of<span class="_ _9"> </span>ticks<span class="_ _12"> </span>that<span class="_ _12"> </span>have<span class="_ _9"> </span>elapsed<span class="_ _12"> </span>since<span class="_ _12"> </span>January<span class="_ _12"> </span>1,<span class="_ _9"> </span>1970</span></div><div class="t m0 x1 hc y1d1 ffc fs7 fc0 sc0 ls0 ws0">(midnight<span class="_ _12"> </span>UTC/GMT)</div><div class="t m0 x1 ha y1d2 ff1 fs6 fc0 sc0 ls0 ws0">Problem:<span class="_ _e"> </span><span class="ff4">Consecutive<span class="_ _c"> </span>calls<span class="_ _c"> </span>return<span class="_ _c"> </span><span class="fff">very<span class="_ _c"> </span>simila<span class="_ _3"></span>r<span class="_ _e"> </span><span class="ff4">seeds</span></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">45/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf34" class="pf w0 h0" data-page-no="34"><div class="pc pc34 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Seed<span class="_ _3a"> </span>2/4</div><div class="t m0 x1 ha y60 ff1 fs6 fc0 sc0 ls0 ws0">Pseuso<span class="_ _4"> </span>seed<span class="ff4">:<span class="_ _e"> </span>easy<span class="_ _c"> </span>to<span class="_ _c"> </span>guess,<span class="_ _c"> </span>e.g.<span class="_ _e"> </span>single<span class="_ _c"> </span>source<span class="_ _c"> </span>of<span class="_ _c"> </span>randomness</span></div><div class="t m0 x1 ha yb0 ff1 fs6 fc0 sc0 ls0 ws0">Secure<span class="_ _4"> </span>seed<span class="ff4">:<span class="_ _e"> </span>hard<span class="_ _9"> </span>to<span class="_ _c"> </span>guess,<span class="_ _c"> </span>e.g.<span class="_ _e"> </span>multiple<span class="_ _c"> </span>sources<span class="_ _c"> </span>of<span class="_ _c"> </span>randomness</span></div><div class="t m0 xa hb y1d3 ff9 fs7 fcd sc0 ls0 ws0">How<span class="_"> </span>do<span class="_"> </span>I<span class="_"> </span>generate<span class="_"> </span>a<span class="_"> </span>random<span class="_"> </span>integer<span class="_"> </span>in<span class="_"> </span>C#?</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">46/87</div><a class="l" href="https://stackoverflow.com/a/37804448/6585879"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:0.612000px;width:194.994000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf35" class="pf w0 h0" data-page-no="35"><div class="pc pc35 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Seed<span class="_ _3a"> </span>3/4</div><div class="t m0 x1 ha y1d4 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _c"> </span><span class="ff1">random<span class="_ _4"> </span>device<span class="_ _b"> </span><span class="ff7 fc3">std::random_device<span class="_ _b"> </span></span></span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>uniformly<span class="_ _9"> </span>distributed<span class="_ _c"> </span>integer<span class="_ _c"> </span>generator</div><div class="t m0 x1 ha y1d5 ff4 fs6 fc0 sc0 ls0 ws0">that<span class="_ _c"> </span>p<span class="_ _3"></span>ro<span class="_ _a"></span>duces<span class="_ _9"> </span>non-deterministic<span class="_ _c"> </span>random<span class="_ _c"> </span>numb<span class="_ _a"></span>ers,<span class="_ _c"> </span>e.g.<span class="_ _e"> </span>from<span class="_ _c"> </span>a<span class="_ _c"> </span>hardw<span class="_ _23"></span>are<span class="_ _9"> </span>device<span class="_ _c"> </span>such<span class="_ _c"> </span>as</div><div class="t m0 x9 he y1d6 ff7 fs6 fc0 sc0 ls0 ws0">/dev/urandom</div><div class="t m0 x9 hb y1d7 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><random></span></div><div class="t m0 x9 hb y1d8 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>random_device<span class="_ _3b"> </span>rnd_device;</div><div class="t m0 x9 hb y1d9 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>default_random_engine<span class="_"> </span>generator{rnd_device()};</div><div class="t m0 x1 ha y1da fff fs6 fc0 sc0 ls0 ws0">Note<span class="_ _a"></span><span class="ff4">:<span class="_ _e"> </span>Not<span class="_ _c"> </span>all<span class="_ _c"> </span>OSs<span class="_ _c"> </span>provide<span class="_ _9"> </span>a<span class="_ _c"> </span>random<span class="_ _c"> </span>device</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">47/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf36" class="pf w0 h0" data-page-no="36"><div class="pc pc36 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Seed<span class="_ _3a"> </span>4/4</div><div class="t m0 x9 ha y1db ff7 fs6 fc3 sc0 ls0 ws0">std::seed_seq<span class="_ _b"> </span><span class="ff4 fc0">consumes<span class="_ _c"> </span>a<span class="_ _c"> </span>sequence<span class="_ _c"> </span>of<span class="_ _c"> </span>integer-valued<span class="_ _c"> </span>data<span class="_ _c"> </span>and<span class="_ _c"> </span>p<span class="_ _3"></span>ro<span class="_ _a"></span>duces<span class="_ _9"> </span>a<span class="_ _c"> </span>numb<span class="_ _a"></span>er</span></div><div class="t m0 x1 ha y1dc ff4 fs6 fc0 sc0 ls0 ws0">of<span class="_ _c"> </span>unsigned<span class="_ _c"> </span>integer<span class="_ _c"> </span>values<span class="_ _c"> </span>in<span class="_ _c"> </span>the<span class="_ _c"> </span>range<span class="_ _c"> </span><span class="ff17">[</span>0<span class="ff10">,<span class="_ _2a"> </span></span>2</div><div class="t m0 x16 h9 y1dd ff6 fs5 fc0 sc0 ls0 ws0">32</div><div class="t m0 x17 ha y1dc ffb fs6 fc0 sc0 ls0 ws0">−<span class="_ _19"> </span><span class="ff4">1<span class="ff17">]</span>.<span class="_ _e"> </span>The<span class="_ _c"> </span>p<span class="_ _3"></span>ro<span class="_ _a"></span>duced<span class="_ _9"> </span>values<span class="_ _c"> </span>are</span></div><div class="t m0 x1 ha y1de ff4 fs6 fc0 sc0 ls0 ws0">distributed<span class="_ _c"> </span>over<span class="_ _c"> </span>the<span class="_ _c"> </span>entire<span class="_ _c"> </span>32-bit<span class="_ _c"> </span>range<span class="_ _c"> </span>even<span class="_ _c"> </span>if<span class="_ _c"> </span>the<span class="_ _c"> </span>consumed<span class="_ _c"> </span>values<span class="_ _c"> </span>a<span class="_ _3"></span>re<span class="_ _c"> </span>close</div><div class="t m0 x9 hb y1df ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><random></span></div><div class="t m0 x9 hb y1e0 ffd fs7 fc5 sc0 ls0 ws0">#include<span class="_ _10"> </span><span class="fc6"><chrono></span></div><div class="t m0 x9 hb y1e1 ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc0">seed1<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>system_clock<span class="fc7">::</span>now()</span></div><div class="t m0 x8 hb y1e2 ff9 fs7 fc0 sc0 ls0 ws0">.time_since_epoch().count();</div><div class="t m0 x9 hb y1e3 ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc0">seed2<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>seed1<span class="_"> </span><span class="fc7">+<span class="_"> </span>1000</span>;</span></div><div class="t m0 x9 hb y1e4 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>seed_seq<span class="_ _3c"> </span>seq1{seed1,<span class="_"> </span>seed2};</div><div class="t m0 x9 hb y1e5 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>default_random_engine<span class="_"> </span>generator1{seq};</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">48/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf37" class="pf w0 h0" data-page-no="37"><div class="pc pc37 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">PRNG<span class="_ _6"> </span>P<span class="_ _3"></span>erio<span class="_ _a"></span>d<span class="_ _6"> </span>and<span class="_ _6"> </span>Qualit<span class="_ _23"></span>y</div><div class="t m0 x9 h5 y1e6 ff1 fs3 fc1 sc0 ls0 ws0">PRNG<span class="_ _c"> </span>P<span class="_ _3"></span>erio<span class="_ _a"></span>d</div><div class="t m0 x1 h5 y1e7 ff4 fs3 fc0 sc0 ls0 ws0">The<span class="_ _4"> </span><span class="ff1">p<span class="_ _a"></span>erio<span class="_ _a"></span>d<span class="_ _4"> </span></span>(or<span class="_ _4"> </span><span class="ff1">cycle<span class="_ _6"> </span>length</span>)<span class="_ _4"> </span>of<span class="_ _6"> </span>a<span class="_ _4"> </span>PRNG<span class="_ _4"> </span>is<span class="_ _6"> </span>the<span class="_ _c"> </span>length<span class="_ _6"> </span>of<span class="_ _4"> </span>the<span class="_ _4"> </span>sequence<span class="_ _6"> </span>of<span class="_ _c"> </span>numb<span class="_ _a"></span>ers<span class="_ _4"> </span>that<span class="_ _6"> </span>the</div><div class="t m0 x1 h5 y1e8 ff4 fs3 fc0 sc0 ls0 ws0">PRNG<span class="_ _9"> </span>generates<span class="_ _9"> </span>b<span class="_ _a"></span>efo<span class="_ _3"></span>re<span class="_ _9"> </span>repeating</div><div class="t m0 x9 h5 y1e9 ff1 fs3 fc1 sc0 ls0 ws0">PRNG<span class="_ _c"> </span>Qualit<span class="_ _3"></span>y</div><div class="t m0 x1 h5 y1ea ff4 fs3 fc0 sc0 ls0 ws0">(<span class="fff">info<span class="_ _3"></span>rmal<span class="_ _0"></span><span class="ff4">)<span class="_ _9"> </span>If<span class="_ _12"> </span>it<span class="_ _12"> </span>is<span class="_ _9"> </span>ha<span class="_ _3"></span>rd<span class="_ _12"> </span>to<span class="_ _9"> </span>distinguish<span class="_ _12"> </span>a<span class="_ _12"> </span>generator<span class="_ _12"> </span>output<span class="_ _12"> </span>from<span class="_ _9"> </span><span class="fff">truly<span class="_ _4"> </span></span>random<span class="_ _12"> </span>sequences,<span class="_ _9"> </span>w<span class="_ _3"></span>e<span class="_ _12"> </span>call<span class="_ _9"> </span>it</span></span></div><div class="t m0 x1 h5 y1eb ff4 fs3 fc0 sc0 ls0 ws0">a<span class="_ _9"> </span><span class="ff1">high<span class="_ _c"> </span>qualit<span class="_ _3"></span>y<span class="_ _9"> </span><span class="ff4">generator.<span class="_ _6"> </span>Otherwise,<span class="_ _12"> </span>we<span class="_ _9"> </span>call<span class="_ _9"> </span>it<span class="_ _9"> </span></span>lo<span class="_ _3"></span>w<span class="_ _c"> </span>qualit<span class="_ _3"></span>y<span class="_ _9"> </span><span class="ff4">generato<span class="_ _3"></span>r</span></span></div><div class="t m0 xe h5 y1ec ff1 fs3 fc0 sc0 ls0 ws0">Generato<span class="_ _3"></span>r<span class="_ _3d"> </span>Qualit<span class="_ _3"></span>y<span class="_ _3e"> </span>P<span class="_ _3"></span>erio<span class="_ _a"></span>d<span class="_ _3f"> </span>Randomness</div><div class="t m0 x6 h5 y1ed ff1 fs3 fc0 sc0 ls0 ws0">Linea<span class="_ _3"></span>r<span class="_ _c"> </span>Congruential<span class="_ _40"> </span><span class="ff4">P<span class="_ _3"></span>o<span class="_ _a"></span>o<span class="_ _3"></span>r<span class="_ _41"> </span>2</span></div><div class="t m0 x41 h13 y1ee ff6 fs9 fc0 sc0 ls0 ws0">31</div><div class="t m0 x18 h5 y1ed ffb fs3 fc0 sc0 ls0 ws0">≈<span class="_ _12"> </span><span class="ff4">10</span></div><div class="t m0 x42 h13 y1ee ff6 fs9 fc0 sc0 ls0 ws0">9</div><div class="t m0 x43 h5 y1ed ff4 fs3 fc0 sc0 ls0 ws0">Statistical<span class="_ _9"> </span>tests</div><div class="t m0 x6 h5 y1ef ff1 fs3 fc0 sc0 ls0 ws0">Mersenne<span class="_ _c"> </span>T<span class="_ _5"></span>wister<span class="_ _c"> </span>32/64-bit<span class="_ _42"> </span><span class="ff4">High<span class="_ _42"> </span>10</span></div><div class="t m0 x44 h13 y1f0 ff6 fs9 fc0 sc0 ls0 ws0">6000</div><div class="t m0 x43 h5 y1ef ff4 fs3 fc0 sc0 ls0 ws0">Statistical<span class="_ _9"> </span>tests</div><div class="t m0 x6 h5 y1f1 ff1 fs3 fc0 sc0 ls0 ws0">Subtract-with-ca<span class="_ _3"></span>rry<span class="_ _c"> </span>24/48-bit<span class="_ _30"> </span><span class="ff4">Highest<span class="_ _43"> </span>10</span></div><div class="t m0 x45 h13 y1f2 ff6 fs9 fc0 sc0 ls0 ws0">171</div><div class="t m0 x46 h5 y1f1 ff4 fs3 fc0 sc0 ls0 ws0">Mathematically<span class="_ _9"> </span>p<span class="_ _3"></span>roven</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">49/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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<div id="pf38" class="pf w0 h0" data-page-no="38"><div class="pc pc38 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Randomness<span class="_ _6"> </span>Qualit<span class="_ _3"></span>y</div><div class="t m0 xc hc y1f3 ffe fs7 fcd sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff9">On<span class="_"> </span>C++<span class="_"> </span>Random<span class="_"> </span>Number<span class="_"> </span>Generator<span class="_"> </span>Quality</span></div><div class="t m0 xc hc y1f4 ffe fs7 fcd sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff9">It<span class="_"> </span>is<span class="_"> </span>high<span class="_"> </span>time<span class="_"> </span>we<span class="_"> </span>let<span class="_"> </span>go<span class="_"> </span>of<span class="_"> </span>the<span class="_"> </span>Mersenne<span class="_"> </span>Twister</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">50/87</div><a class="l" href="https://arvid.io/2018/06/30/on-cxx-random-number-generator-quality/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:19.462000px;width:180.872000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://arxiv.org/abs/1910.06437"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:4.866000px;width:232.653000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf39" class="pf w0 h0" data-page-no="39"><div class="pc pc39 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Random<span class="_ _6"> </span>Engines</div><div class="t m0 xa h5 yd8 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Linear<span class="_ _9"> </span>congruential<span class="_ _c"> </span>(LF)</span></div><div class="t m0 x6 h5 ye3 ff4 fs3 fc0 sc0 ls0 ws0">The<span class="_ _9"> </span>simplest<span class="_ _9"> </span>generato<span class="_ _3"></span>r<span class="_ _9"> </span>engine.<span class="_ _6"> </span>Mo<span class="_ _a"></span>dulo-based<span class="_ _9"> </span>algo<span class="_ _3"></span>rithm:</div><div class="t m0 x6 h5 ye4 fff fs3 fc0 sc0 ls0 ws0">x</div><div class="t m0 x13 h13 y1f5 ff16 fs9 fc0 sc0 ls0 ws0">i<span class="_ _a"></span><span class="ff1a">+<span class="ff6">1</span></span></div><div class="t m0 x1f h5 ye4 ff17 fs3 fc0 sc0 ls0 ws0">=<span class="_ _12"> </span>(<span class="ff10">α<span class="fff">x</span></span></div><div class="t m0 x47 h12 y1f5 ff16 fs9 fc0 sc0 ls0 ws0">i</div><div class="t m0 x48 h5 ye4 ff17 fs3 fc0 sc0 ls0 ws0">+<span class="_ _2a"> </span><span class="fff">c<span class="_ _38"></span></span>)<span class="fff">mod<span class="_ _4"> </span>m<span class="_ _9"> </span><span class="ff4">where<span class="_ _9"> </span><span class="ff10">α,<span class="_ _2a"> </span></span></span>c<span class="_ _0"></span><span class="ff10">,<span class="_ _18"> </span></span>m<span class="_ _9"> </span><span class="ff4">are<span class="_ _9"> </span>implementation<span class="_ _9"> </span>defined</span></span></div><div class="t m0 x6 h5 ye5 ff4 fs3 fc0 sc0 ls0 ws0">C++<span class="_ _9"> </span>Generato<span class="_ _3"></span>rs:<span class="_ _28"> </span><span class="ff7">std::minstd_rand<span class="_ _12"> </span></span>,<span class="_ _10"> </span><span class="ff7">std::minstd_rand0<span class="_ _12"> </span></span>,</div><div class="t m0 xb h10 y1f6 ff7 fs3 fc0 sc0 ls0 ws0">std::knuth_b</div><div class="t m0 xa h5 y1f7 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Mersenne<span class="_ _c"> </span>T<span class="_ _23"></span>wister<span class="_ _9"> </span><span class="fff">(M.<span class="_ _9"> </span>Matsumoto<span class="_ _9"> </span>and<span class="_ _9"> </span>T.<span class="_ _9"> </span>Nishimura,<span class="_ _9"> </span>1997)</span></span></div><div class="t m0 x6 h5 y1f8 ff4 fs3 fc0 sc0 ls0 ws0">F<span class="_ _3"></span>ast<span class="_ _19"> </span>generation<span class="_ _19"> </span>of<span class="_ _12"> </span>high-qualit<span class="_ _23"></span>y<span class="_ _12"> </span>pseudo<span class="_ _23"></span>random<span class="_ _12"> </span>number.<span class="_ _6"> </span>It<span class="_ _19"> </span>relies<span class="_ _19"> </span>on<span class="_ _19"> </span>Mersenne<span class="_ _19"> </span>prime<span class="_ _19"> </span>number.</div><div class="t m0 x6 h5 y1f9 ff4 fs3 fc0 sc0 ls0 ws0">(used<span class="_ _9"> </span>as<span class="_ _9"> </span>default<span class="_ _9"> </span>random<span class="_ _9"> </span>generato<span class="_ _3"></span>r<span class="_ _9"> </span>in<span class="_ _9"> </span>linux)</div><div class="t m0 x6 h5 y1fa ff4 fs3 fc0 sc0 ls0 ws0">C++<span class="_ _9"> </span>Generato<span class="_ _3"></span>rs:<span class="_ _28"> </span><span class="ff7">std::mt19937<span class="_ _12"> </span></span>,<span class="_ _10"> </span><span class="ff7">std::mt19937_64</span></div><div class="t m0 xa h5 y1fb ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Subtract-with-carry<span class="_ _9"> </span>(LF)<span class="_ _9"> </span><span class="fff">(G.<span class="_ _9"> </span>Marsaglia<span class="_ _9"> </span>and<span class="_ _9"> </span>A.<span class="_ _9"> </span>Zaman,<span class="_ _9"> </span>1991)</span></span></div><div class="t m0 x6 h5 y1fc ff4 fs3 fc0 sc0 ls0 ws0">Pseudo-random<span class="_"> </span>generation<span class="_ _e"> </span>based<span class="_ _e"> </span>on<span class="_ _e"> </span>Lagged<span class="_ _e"> </span>Fibonacci<span class="_"> </span>algo<span class="_ _3"></span>rithm<span class="_"> </span>(used<span class="_ _e"> </span>fo<span class="_ _3"></span>r<span class="_ _e"> </span>example<span class="_ _e"> </span>b<span class="_ _3"></span>y</div><div class="t m0 x6 h5 y1fd ff4 fs3 fc0 sc0 ls0 ws0">physicists<span class="_ _9"> </span>at<span class="_ _9"> </span>CERN)</div><div class="t m0 x6 h5 y1fe ff4 fs3 fc0 sc0 ls0 ws0">C++<span class="_ _9"> </span>Generato<span class="_ _3"></span>rs:<span class="_ _44"> </span><span class="ff7">std::ranlux24_base<span class="_ _12"> </span></span>,<span class="_ _1"> </span><span class="ff7">std::ranlux48_base<span class="_ _12"> </span></span>,<span class="_ _45"> </span><span class="ff7">std::ranlux24<span class="_ _12"> </span></span>,</div><div class="t m0 xb h10 y1ff ff7 fs3 fc0 sc0 ls0 ws0">std::ranlux48</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">51/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf3a" class="pf w0 h0" data-page-no="3a"><div class="pc pc3a w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Statistical<span class="_ _6"> </span>T<span class="_ _5"></span>ests</div><div class="t m0 x1 ha y60 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>table<span class="_ _c"> </span>sho<span class="_ _3"></span>ws<span class="_ _c"> </span>after<span class="_ _c"> </span>ho<span class="_ _3"></span>w<span class="_ _c"> </span>many<span class="_ _c"> </span>iterations<span class="_ _c"> </span>the<span class="_ _c"> </span>generator<span class="_ _9"> </span>fails<span class="_ _c"> </span>the<span class="_ _c"> </span>statistical<span class="_ _c"> </span>tests</div><div class="t m0 x1b h5 y200 ff1 fs3 fc0 sc0 ls0 ws0">Generato<span class="_ _3"></span>r<span class="_ _46"> </span><span class="ff7">256M<span class="_"> </span>512M<span class="_ _e"> </span>1G<span class="_ _e"> </span>2G<span class="_"> </span>4G<span class="_ _e"> </span>8G<span class="_ _e"> </span>16G<span class="_"> </span>32G<span class="_ _e"> </span>64G<span class="_ _e"> </span>128G<span class="_"> </span>256G<span class="_ _e"> </span>512G<span class="_ _e"> </span>1T</span></div><div class="t m0 x1d h17 y201 ff7 fs3 fc0 sc0 ls0 ws0">ranlux24_base<span class="_ _47"> </span><span class="ff1d fcf">✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _30"> </span>✗<span class="_ _49"> </span>✗<span class="_ _49"> </span>✗<span class="_ _3e"> </span>✗<span class="_ _48"> </span>✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></div><div class="t m0 x1d h17 y202 ff7 fs3 fc0 sc0 ls0 ws0">ranlux48_base<span class="_ _47"> </span><span class="ff1d fcf">✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _30"> </span>✗<span class="_ _49"> </span>✗<span class="_ _49"> </span>✗<span class="_ _3e"> </span>✗<span class="_ _48"> </span>✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></div><div class="t m0 x1d h17 y203 ff7 fs3 fc0 sc0 ls0 ws0">minstd_rand<span class="_ _4b"> </span><span class="ff1d fcf">✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _30"> </span>✗<span class="_ _49"> </span>✗<span class="_ _49"> </span>✗<span class="_ _3e"> </span>✗<span class="_ _48"> </span>✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></div><div class="t m0 x1d h17 y204 ff7 fs3 fc0 sc0 ls0 ws0">minstd_rand0<span class="_ _31"> </span><span class="ff1d fcf">✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗<span class="_ _1b"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _30"> </span>✗<span class="_ _49"> </span>✗<span class="_ _49"> </span>✗<span class="_ _3e"> </span>✗<span class="_ _48"> </span>✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></div><div class="t m0 x1d h17 y205 ff7 fs3 fc0 sc0 ls0 ws0">knuth_b<span class="_ _4c"> </span><span class="ff1d fc10">✓<span class="_ _41"> </span>✓<span class="_ _2e"> </span><span class="fcf">✗<span class="_ _1b"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _4a"> </span>✗<span class="_ _30"> </span>✗<span class="_ _49"> </span>✗<span class="_ _49"> </span>✗<span class="_ _3e"> </span>✗<span class="_ _48"> </span>✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></span></div><div class="t m0 x1d h17 y206 ff7 fs3 fc0 sc0 ls0 ws0">mt19937<span class="_ _4c"> </span><span class="ff1d fc10">✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _14"> </span>✓<span class="_ _7"> </span>✓<span class="_ _14"> </span>✓<span class="_ _4e"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4f"> </span>✓<span class="_ _50"> </span><span class="fcf">✗<span class="_ _48"> </span>✗<span class="_ _49"> </span>✗</span></span></div><div class="t m0 x1d h17 y207 ff7 fs3 fc0 sc0 ls0 ws0">mt19937_64<span class="_ _51"> </span><span class="ff1d fc10">✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _14"> </span>✓<span class="_ _7"> </span>✓<span class="_ _14"> </span>✓<span class="_ _4e"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4f"> </span>✓<span class="_ _41"> </span>✓<span class="_ _50"> </span><span class="fcf">✗<span class="_ _49"> </span>✗</span></span></div><div class="t m0 x1d h17 y208 ff7 fs3 fc0 sc0 ls0 ws0">ranlux24<span class="_ _52"> </span><span class="ff1d fc10">✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _14"> </span>✓<span class="_ _7"> </span>✓<span class="_ _14"> </span>✓<span class="_ _4e"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4f"> </span>✓<span class="_ _41"> </span>✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓</span></div><div class="t m0 x1d h17 y209 ff7 fs3 fc0 sc0 ls0 ws0">ranlux48<span class="_ _52"> </span><span class="ff1d fc10">✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _14"> </span>✓<span class="_ _7"> </span>✓<span class="_ _14"> </span>✓<span class="_ _4e"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4d"> </span>✓<span class="_ _4f"> </span>✓<span class="_ _41"> </span>✓<span class="_ _41"> </span>✓<span class="_ _4d"> </span>✓</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">52/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf3b" class="pf w0 h0" data-page-no="3b"><div class="pc pc3b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Space<span class="_ _6"> </span>and<span class="_ _6"> </span>P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance</div><div class="t m0 x49 h5 y20a ff1 fs3 fc0 sc0 ls0 ws0">Generato<span class="_ _3"></span>r<span class="_ _53"> </span>Predictabilit<span class="_ _3"></span>y<span class="_ _32"> </span>State<span class="_ _32"> </span>P<span class="_ _23"></span>erformance</div><div class="t m0 x4a h5 y20b ff1 fs3 fc0 sc0 ls0 ws0">Linea<span class="_ _3"></span>r<span class="_ _c"> </span>Congruential<span class="_ _54"> </span><span class="ff4">T<span class="_ _23"></span>rivial<span class="_ _2d"> </span><span class="ff7">4-8<span class="_"> </span>B<span class="_ _55"> </span><span class="ff1 fc10">F<span class="_ _3"></span>ast</span></span></span></div><div class="t m0 x4a h5 y20c ff1 fs3 fc0 sc0 ls0 ws0">Knuth<span class="_ _56"> </span><span class="ff4">T<span class="_ _23"></span>rivial<span class="_ _57"> </span><span class="ff7">1<span class="_"> </span>KB<span class="_ _58"> </span><span class="ff1 fc10">F<span class="_ _3"></span>ast</span></span></span></div><div class="t m0 x4a h5 y20d ff1 fs3 fc0 sc0 ls0 ws0">Mersenne<span class="_ _c"> </span>T<span class="_ _5"></span>wister<span class="_ _58"> </span><span class="ff4">T<span class="_ _5"></span>rivial<span class="_ _57"> </span><span class="ff7">2<span class="_"> </span>KB<span class="_ _59"> </span><span class="ff1 fc10">Go<span class="_ _a"></span>od</span></span></span></div><div class="t m0 x4a h5 y20e ff1 fs3 fc0 sc0 ls0 ws0">randlux_base<span class="_ _5a"> </span><span class="ff4">T<span class="_ _23"></span>rivial<span class="_ _51"> </span><span class="ff7">8-16<span class="_"> </span>B<span class="_ _5b"> </span><span class="ff1">Slo<span class="_ _3"></span>w</span></span></span></div><div class="t m0 x4a h5 y20f ff1 fs3 fc0 sc0 ls0 ws0">randlux<span class="_ _5c"> </span><span class="ff4">Unkno<span class="_ _3"></span>wn?<span class="_ _48"> </span><span class="ffb">∼<span class="ff7">120<span class="_"> </span>B<span class="_ _4f"> </span><span class="ff1">Sup<span class="_ _a"></span>er<span class="_ _c"> </span>slo<span class="_ _3"></span>w</span></span></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">53/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf3c" class="pf w0 h0" data-page-no="3c"><div class="pc pc3c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Distribution</div><div class="t m0 xa ha y210 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Uniform<span class="_ _c"> </span>distribution</span></div><div class="t m0 xb h5 y211 ff7 fs3 fc0 sc0 ls0 ws0">uniform_int_distribution<T>(range_start,<span class="_"> </span>range_end)<span class="_ _10"> </span><span class="ff4">where<span class="_ _9"> </span>T<span class="_ _9"> </span>is<span class="_ _12"> </span>integral<span class="_ _9"> </span>type</span></div><div class="t m0 xb h5 y212 ff7 fs3 fc0 sc0 ls0 ws0">uniform_real_distribution<T>(range_start,<span class="_"> </span>range_end)<span class="_ _b"> </span><span class="ff4">where<span class="_ _9"> </span>T<span class="_ _9"> </span>is<span class="_ _9"> </span>floating</span></div><div class="t m0 x6 h5 y213 ff4 fs3 fc0 sc0 ls0 ws0">p<span class="_ _a"></span>oint<span class="_ _12"> </span>type</div><div class="t m0 xa ha y214 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Normal<span class="_ _c"> </span>distribution<span class="_ _c"> </span><span class="fff">P<span class="_ _12"> </span><span class="ff17">(</span>x<span class="_ _38"></span><span class="ff17">)<span class="_ _12"> </span>=</span></span></span></div><div class="t m0 x4b h9 y215 ff6 fs5 fc0 sc0 ls0 ws0">1</div><div class="t m0 x4c hf y216 ff1e fs5 fc0 sc0 ls0 ws0">σ</div><div class="t m0 x4d h16 y217 ff1b fs5 fc0 sc0 ls0 ws0">√</div><div class="t m0 x4e h9 y216 ff6 fs5 fc0 sc0 ls0 ws0">2<span class="ff1e">π</span></div><div class="t m0 x14 ha y214 fff fs6 fc0 sc0 ls0 ws0">e</div><div class="t m0 x4f h16 y218 ff1b fs5 fc0 sc0 ls0 ws0">−</div><div class="t m0 x2e h18 y219 ff1a fs8 fc0 sc0 ls0 ws0">(<span class="ff16">x<span class="_ _a"></span><span class="ff1f">−<span class="ff20">µ</span></span></span>)</div><div class="t m0 x2f h18 y21a ff6 fs8 fc0 sc0 ls0 ws0">2</div><div class="t m0 x23 h18 y21b ff6 fs8 fc0 sc0 ls0 ws0">2<span class="ff20">σ</span></div><div class="t m0 x50 h18 y21c ff6 fs8 fc0 sc0 ls0 ws0">2</div><div class="t m0 xb h10 y21d ff7 fs3 fc0 sc0 ls0 ws0">normal_distribution<T>(mean,<span class="_"> </span>std_dev)</div><div class="t m0 x6 h5 y21e ff4 fs3 fc0 sc0 ls0 ws0">where<span class="_ _9"> </span>T<span class="_ _9"> </span>is<span class="_ _9"> </span>floating<span class="_ _9"> </span>p<span class="_ _a"></span>oint<span class="_ _12"> </span>type</div><div class="t m0 xa ha y21f ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Exp<span class="_ _a"></span>onential<span class="_ _4"> </span>distribution<span class="_ _c"> </span><span class="fff">P<span class="_ _12"> </span><span class="ff17">(</span>x<span class="_ _38"></span><span class="ff10">,<span class="_ _18"> </span>λ<span class="ff17">)<span class="_ _9"> </span>=<span class="_ _12"> </span></span>λ</span>e</span></span></div><div class="t m0 x51 hf y220 ff1b fs5 fc0 sc0 ls0 ws0">−<span class="ff1e">λ<span class="ff16">x</span></span></div><div class="t m0 xb h10 y221 ff7 fs3 fc0 sc0 ls0 ws0">exponential_distribution<T>(lambda)</div><div class="t m0 x6 h5 y222 ff4 fs3 fc0 sc0 ls0 ws0">where<span class="_ _9"> </span>T<span class="_ _9"> </span>is<span class="_ _9"> </span>floating<span class="_ _9"> </span>p<span class="_ _a"></span>oint<span class="_ _12"> </span>type</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">54/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf3d" class="pf w0 h0" data-page-no="3d"><div class="pc pc3d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Examples</div><div class="t m0 x9 hb y223 ff5 fs7 fc8 sc0 ls0 ws0">unsigned<span class="_ _e"> </span><span class="ff9 fc0">seed<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>...</span></div><div class="t m0 x9 hb y224 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>Original<span class="_ _6"> </span>linear<span class="_ _e"> </span>congruential</div><div class="t m0 x9 hb y225 ff9 fs7 fc0 sc0 ls0 ws0">minstd_rand0<span class="_ _1b"> </span><span class="fc3">lc1_generator</span>(seed);</div><div class="t m0 x9 hb y226 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>Linear<span class="_ _6"> </span>congruential<span class="_ _e"> </span>(better<span class="_ _e"> </span>tuning)</div><div class="t m0 x9 hb y227 ff9 fs7 fc0 sc0 ls0 ws0">minstd_rand<span class="_ _2e"> </span><span class="fc3">lc2_generator</span>(seed);</div><div class="t m0 x9 hb y228 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>Standard<span class="_ _6"> </span>mersenne<span class="_ _e"> </span>twister<span class="_ _e"> </span>(64-bit)</div><div class="t m0 x9 hb y229 ff9 fs7 fc0 sc0 ls0 ws0">mt19937_64<span class="_ _20"> </span><span class="fc3">mt64_generator</span>(seed);</div><div class="t m0 x9 hb y22a ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>Subtract-with-carry<span class="_ _6"> </span>(48-bit)</div><div class="t m0 x9 hb y22b ff9 fs7 fc0 sc0 ls0 ws0">ranlux48_base<span class="_"> </span><span class="fc3">swc48_generator</span>(seed);</div><div class="t m0 x9 hb y22c ff9 fs7 fc0 sc0 ls0 ws0">uniform_int_distribution<span class="fc7"><<span class="ff5 fc8">int</span>><span class="_ _20"> </span></span>int_distribution(<span class="fc7">0</span>,<span class="_"> </span><span class="fc7">10</span>);</div><div class="t m0 x9 hb y22d ff9 fs7 fc0 sc0 ls0 ws0">uniform_real_distribution<span class="fc7"><<span class="ff5 fc8">float</span>><span class="_"> </span></span>real_distribution(<span class="fc7">-3.0f</span>,<span class="_"> </span><span class="fc7">4.0f</span>);</div><div class="t m0 x9 hb y22e ff9 fs7 fc0 sc0 ls0 ws0">exponential_distribution<span class="fc7"><<span class="ff5 fc8">float</span>><span class="_ _1b"> </span></span>exp_distribution(<span class="fc7">3.5f</span>);</div><div class="t m0 x9 hb y22f ff9 fs7 fc0 sc0 ls0 ws0">normal_distribution<span class="fc7"><<span class="ff5 fc8">double</span>><span class="_ _22"> </span></span>norm_distribution(<span class="fc7">5.0</span>,<span class="_"> </span><span class="fc7">2.0</span>);</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">55/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf3e" class="pf w0 h0" data-page-no="3e"><div class="pc pc3e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Recent<span class="_ _6"> </span>Algo<span class="_ _3"></span>rithms<span class="_ _6"> </span>and<span class="_ _6"> </span>P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance</div><div class="t m0 x1 ha y60 ff1 fs6 fc0 sc0 ls0 ws0">Recent<span class="_ _4"> </span>algorithms:</div><div class="t m0 xa ha y230 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">PCG,<span class="_"> </span>A<span class="_"> </span>Family<span class="_"> </span>of<span class="_"> </span>Better<span class="_"> </span>Random<span class="_"> </span>Number<span class="_"> </span>Generators</span></div><div class="t m0 xa ha y115 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">Xoshiro<span class="_"> </span>/<span class="_"> </span>Xoroshiro<span class="_"> </span>generators<span class="_"> </span>and<span class="_"> </span>the<span class="_"> </span>PRNG<span class="_"> </span>shootout</span></div><div class="t m0 xa ha y116 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">The<span class="_"> </span>Xorshift128+<span class="_"> </span>random<span class="_"> </span>number<span class="_"> </span>generator<span class="_"> </span>fails<span class="_"> </span>BigCrush</span></div><div class="t m0 x1 ha y117 ff1 fs6 fc0 sc0 ls0 ws0">P<span class="_ _3"></span>a<span class="_ _3"></span>rallel<span class="_ _4"> </span>algo<span class="_ _3"></span>rithms:</div><div class="t m0 xa ha y231 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">Squares:<span class="_ _44"> </span>A<span class="_"> </span>Fast<span class="_"> </span>Counter-Based<span class="_"> </span>RNG</span></div><div class="t m0 xa ha y232 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">Parallel<span class="_"> </span>Random<span class="_"> </span>Numbers:<span class="_ _44"> </span>As<span class="_"> </span>Easy<span class="_"> </span>as<span class="_"> </span>1,<span class="_"> </span>2,<span class="_"> </span>3<span class="_ _c"> </span><span class="ff4">(</span>Philox<span class="ff4">)</span></span></div><div class="t m0 xa ha y233 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff7">OpenRNG:<span class="_"> </span>New<span class="_"> </span>Random<span class="_"> </span>Number<span class="_"> </span>Generator<span class="_"> </span>Library<span class="_"> </span>for<span class="_"> </span>best<span class="_"> </span>performance</span></div><div class="t m0 x6 he y234 ff7 fs6 fc0 sc0 ls0 ws0">when<span class="_"> </span>porting<span class="_"> </span>to<span class="_"> </span>Arm</div><div class="t m0 x1 ha y235 ff4 fs6 fc0 sc0 ls0 ws0">If<span class="_ _c"> </span>strong<span class="_ _c"> </span>random<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _9"> </span>quality<span class="_ _9"> </span>properties<span class="_ _c"> </span>are<span class="_ _9"> </span>not<span class="_ _c"> </span>needed,<span class="_ _c"> </span>it<span class="_ _c"> </span>is<span class="_ _c"> </span>p<span class="_ _a"></span>ossible<span class="_ _c"> </span>to<span class="_ _c"> </span>generate<span class="_ _c"> </span>a</div><div class="t m0 x1 ha y236 ff4 fs6 fc0 sc0 ls0 ws0">random<span class="_ _c"> </span>p<span class="_ _a"></span>ermutation<span class="_ _9"> </span>of<span class="_ _c"> </span>integer<span class="_ _c"> </span>values<span class="_ _c"> </span>(with<span class="_ _c"> </span>p<span class="_ _a"></span>erio<span class="_ _a"></span>d<span class="_ _c"> </span>of<span class="_ _c"> </span>2</div><div class="t m0 x52 h9 y237 ff6 fs5 fc0 sc0 ls0 ws0">32</div><div class="t m0 x53 ha y236 ff4 fs6 fc0 sc0 ls0 ws0">)<span class="_ _c"> </span>in<span class="_ _c"> </span>a<span class="_ _c"> </span>very<span class="_ _c"> </span>efficient<span class="_ _c"> </span>w<span class="_ _3"></span>a<span class="_ _3"></span>y<span class="_ _c"> </span>by</div><div class="t m0 x1 ha y238 ff4 fs6 fc0 sc0 ls0 ws0">using<span class="_ _c"> </span>hashing<span class="_ _c"> </span>functions<span class="_ _c"> </span><span class="ff7">Hash<span class="_"> </span>Function<span class="_"> </span>Prospector<span class="_ _12"> </span><span class="ff15 fs8"></span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">56/87</div><a class="l" href="http://www.pcg-random.org/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:186.204000px;width:276.901000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="http://prng.di.unimi.it/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:170.623000px;width:299.810000px;height:11.992000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://lemire.me/blog/2017/09/08/the-xorshift128-random-number-generator-fails-bigcrush/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:155.041000px;width:316.992000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://arxiv.org/pdf/2004.06278"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:115.958000px;width:196.720000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://dl.acm.org/doi/pdf/10.1145/2063384.2063405"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:100.073000px;width:253.992000px;height:12.755000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://community.arm.com/arm-community-blogs/b/tools-software-ides-blog/posts/openrng-24-04"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:84.795000px;width:377.025000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://community.arm.com/arm-community-blogs/b/tools-software-ides-blog/posts/openrng-24-04"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:69.213000px;width:110.811000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/skeeto/hash-prospector"><div class="d m1" style="border-style:none;position:absolute;left:137.441000px;bottom:11.535000px;width:148.455000px;height:11.993000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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<div id="pf3f" class="pf w0 h0" data-page-no="3f"><div class="pc pc3f w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">P<span class="_ _3"></span>erfo<span class="_ _3"></span>rmance<span class="_ _6"> </span>Compa<span class="_ _3"></span>rison</div><div class="t m0 xa hb y239 ff9 fs7 fcd sc0 ls0 ws0">Random<span class="_"> </span>number<span class="_"> </span>generators<span class="_"> </span>for<span class="_"> </span>C++<span class="_"> </span>performance<span class="_"> </span>tested</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">57/87</div><a class="l" href="https://thompsonsed.co.uk/random-number-generators-for-c-performance-tested"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:3.023000px;width:242.067000px;height:13.445000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf40" class="pf w0 h0" data-page-no="40"><div class="pc pc40 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIX0lEQVR42u3YsQnCQBiG4TvJkdIZQionELEW3CxLZJwUGSIbWKX0mrMQsoI/8jwjfNXLl8frPQEAQBjbupysAABANCIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAIBDrrVaAQCAOEopnlQAAMIRqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQTAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqSYAAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEA+B/dPg1WAICv12M2Avzc5fbM+dy3/Z1Sa80gAACE8AFj/BQEwWSBqAAAAABJRU5ErkJggg=="/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Quasi-random<span class="_ _5d"> </span>1/2</div><div class="t m0 x1 ha y23a ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span><span class="ff1">quasi-random<span class="_ _c"> </span></span>numb<span class="_ _a"></span>ers<span class="_ _9"> </span>have<span class="_ _c"> </span>the<span class="_ _c"> </span>low-discrepancy<span class="_ _9"> </span>property<span class="_ _9"> </span>that<span class="_ _c"> </span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>measure<span class="_ _c"> </span>of</div><div class="t m0 x1 ha y23b fff fs6 fc0 sc0 ls0 ws0">unifo<span class="_ _3"></span>rmit<span class="_ _3"></span>y<span class="_ _c"> </span>fo<span class="_ _3"></span>r<span class="_ _c"> </span>the<span class="_ _c"> </span>distribution<span class="_ _c"> </span><span class="ff4">of<span class="_ _c"> </span>the<span class="_ _4"> </span>p<span class="_ _a"></span>oint<span class="_ _9"> </span>for<span class="_ _9"> </span>the<span class="_ _c"> </span>multi-dimensional<span class="_ _c"> </span>case</span></div><div class="t m0 xa ha y23c ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Quasi-random<span class="_ _c"> </span>sequence,<span class="_ _c"> </span>in<span class="_ _c"> </span>comparison<span class="_ _9"> </span>to<span class="_ _c"> </span>pseudo-random<span class="_ _c"> </span>sequence,<span class="_ _c"> </span>distributes</span></div><div class="t m0 x6 ha y23d ff4 fs6 fc0 sc0 ls0 ws0">evenly<span class="_ _5"></span>,<span class="_ _c"> </span>namely<span class="_ _c"> </span>this<span class="_ _c"> </span>leads<span class="_ _c"> </span>to<span class="_ _c"> </span>spread<span class="_ _9"> </span>the<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _c"> </span>over<span class="_ _c"> </span>the<span class="_ _c"> </span>entire<span class="_ _c"> </span>region</div><div class="t m0 xa ha y23e ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">The<span class="_ _c"> </span>concept<span class="_ _c"> </span>of<span class="_ _9"> </span>low-discrepancy<span class="_ _9"> </span>is<span class="_ _9"> </span>asso<span class="_ _a"></span>ciated<span class="_ _c"> </span>with<span class="_ _9"> </span>the<span class="_ _c"> </span>p<span class="_ _3"></span>rop<span class="_ _a"></span>ert<span class="_ _3"></span>y<span class="_ _9"> </span>that<span class="_ _c"> </span>the<span class="_ _9"> </span>successive</span></div><div class="t m0 x6 ha y23f ff4 fs6 fc0 sc0 ls0 ws0">numb<span class="_ _a"></span>ers<span class="_ _9"> </span>are<span class="_ _9"> </span>added<span class="_ _c"> </span>in<span class="_ _c"> </span>a<span class="_ _c"> </span>p<span class="_ _a"></span>osition<span class="_ _c"> </span>as<span class="_ _c"> </span>aw<span class="_ _23"></span>ay<span class="_ _9"> </span>as<span class="_ _c"> </span>p<span class="_ _a"></span>ossible<span class="_ _c"> </span>from<span class="_ _c"> </span>the<span class="_ _c"> </span>other<span class="_ _c"> </span>numb<span class="_ _a"></span>ers<span class="_ _c"> </span>that</div><div class="t m0 x6 ha y240 ff4 fs6 fc0 sc0 ls0 ws0">is,<span class="_ _c"> </span>avoiding<span class="_ _c"> </span><span class="fff">clustering<span class="_ _e"> </span></span>(grouping<span class="_ _9"> </span>of<span class="_ _c"> </span>numb<span class="_ _a"></span>ers<span class="_ _c"> </span>close<span class="_ _c"> </span>to<span class="_ _c"> </span>each<span class="_ _c"> </span>other)</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">58/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Quasi-random<span class="_ _5d"> </span>2/2</div><div class="t m0 x3c ha y241 ff1 fs6 fc0 sc0 ls0 ws0">Pseudo-random<span class="_ _2e"> </span>vs.<span class="_ _5e"> </span>Quasi<span class="_ _4"> </span>random</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">59/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf42" class="pf w0 h0" data-page-no="42"><div class="pc pc42 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Time<span class="_ _1"> </span>Measuring</div><a class="l" href="#pf42" data-dest-detail='[66,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:187.124000px;height:24.026000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf43" class="pf w0 h0" data-page-no="43"><div class="pc pc43 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _5f"> </span>1/2</div><div class="t m0 x9 ha y242 ff1 fs6 fc1 sc0 ls0 ws0">W<span class="_ _3"></span>all-Clo<span class="_ _a"></span>ck/Real<span class="_ _4"> </span>time</div><div class="t m0 x9 ha y243 ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _c"> </span>is<span class="_ _9"> </span>the<span class="_ _c"> </span>human<span class="_ _c"> </span>p<span class="_ _a"></span>erception<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>passage<span class="_ _9"> </span>of<span class="_ _c"> </span>time<span class="_ _c"> </span>from<span class="_ _c"> </span>the<span class="_ _c"> </span>start<span class="_ _9"> </span>to<span class="_ _c"> </span>the<span class="_ _c"> </span>completion<span class="_ _c"> </span>of</div><div class="t m0 x9 ha y244 ff4 fs6 fc0 sc0 ls0 ws0">a<span class="_ _c"> </span>task</div><div class="t m0 x9 ha y245 ff1 fs6 fc1 sc0 ls0 ws0">User/CPU<span class="_ _4"> </span>time</div><div class="t m0 x9 ha y246 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>amount<span class="_ _c"> </span>of<span class="_ _c"> </span>time<span class="_ _c"> </span>sp<span class="_ _a"></span>ent<span class="_ _9"> </span>by<span class="_ _9"> </span>the<span class="_ _c"> </span>CPU<span class="_ _c"> </span>to<span class="_ _c"> </span>compute<span class="_ _c"> </span>in<span class="_ _c"> </span>user<span class="_ _c"> </span>co<span class="_ _a"></span>de</div><div class="t m0 x9 ha y247 ff1 fs6 fc1 sc0 ls0 ws0">System<span class="_ _4"> </span>time</div><div class="t m0 x9 ha y248 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>amount<span class="_ _c"> </span>of<span class="_ _c"> </span>time<span class="_ _c"> </span>sp<span class="_ _a"></span>ent<span class="_ _9"> </span>by<span class="_ _9"> </span>the<span class="_ _c"> </span>CPU<span class="_ _c"> </span>to<span class="_ _c"> </span>compute<span class="_ _c"> </span>system<span class="_ _c"> </span>calls<span class="_ _c"> </span>(including<span class="_ _c"> </span>I/O<span class="_ _c"> </span>calls)</div><div class="t m0 x9 ha y249 ff4 fs6 fc0 sc0 ls0 ws0">executed<span class="_ _c"> </span>into<span class="_ _c"> </span>k<span class="_ _3"></span>ernel<span class="_ _c"> </span>co<span class="_ _a"></span>de</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">60/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf44" class="pf w0 h0" data-page-no="44"><div class="pc pc44 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _5f"> </span>2/2</div><div class="t m0 x1 ha y24a ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span><span class="fff">W<span class="_ _3"></span>all-clo<span class="_ _a"></span>ck<span class="_ _9"> </span>time<span class="_ _6"> </span><span class="ff4">measured<span class="_ _c"> </span>on<span class="_ _c"> </span>a<span class="_ _c"> </span>concurrent<span class="_ _c"> </span>process<span class="_ _c"> </span>platform<span class="_ _9"> </span>may<span class="_ _9"> </span>include<span class="_ _c"> </span>the<span class="_ _c"> </span>time</span></span></div><div class="t m0 x1 ha y24b ff4 fs6 fc0 sc0 ls0 ws0">elapsed<span class="_ _c"> </span>fo<span class="_ _3"></span>r<span class="_ _c"> </span>other<span class="_ _c"> </span>tasks</div><div class="t m0 x1 ha y24c ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span><span class="fff">User/CPU<span class="_ _c"> </span>time<span class="_ _6"> </span></span>of<span class="_ _9"> </span>a<span class="_ _c"> </span>multi-thread<span class="_ _c"> </span>program<span class="_ _9"> </span>is<span class="_ _c"> </span>the<span class="_ _c"> </span>sum<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>execution<span class="_ _c"> </span>time<span class="_ _c"> </span>of<span class="_ _c"> </span>all</div><div class="t m0 x1 ha y24d ff4 fs6 fc0 sc0 ls0 ws0">threads</div><div class="t m0 x1 ha y24e ff4 fs6 fc0 sc0 ls0 ws0">If<span class="_ _c"> </span>the<span class="_ _c"> </span>system<span class="_ _c"> </span>w<span class="_ _3"></span>o<span class="_ _3"></span>rkload<span class="_ _c"> </span>(except<span class="_ _c"> </span>the<span class="_ _c"> </span>current<span class="_ _c"> </span>program)<span class="_ _9"> </span>is<span class="_ _c"> </span>very<span class="_ _c"> </span>low<span class="_ _9"> </span>and<span class="_ _c"> </span>the<span class="_ _c"> </span>program<span class="_ _9"> </span>uses</div><div class="t m0 x1 ha y24f ff4 fs6 fc0 sc0 ls0 ws0">only<span class="_ _c"> </span>one<span class="_ _c"> </span>thread<span class="_ _c"> </span>then</div><div class="t m0 x1 he y250 ff7 fs6 fc0 sc0 ls0 ws0">Wall-clock<span class="_"> </span>time<span class="_"> </span>=<span class="_"> </span>User<span class="_"> </span>time<span class="_"> </span>+<span class="_"> </span>System<span class="_"> </span>time</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">61/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf45" class="pf w0 h0" data-page-no="45"><div class="pc pc45 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _6"> </span>-<span class="_ _6"> </span>W<span class="_ _3"></span>all-Clo<span class="_ _a"></span>ck<span class="_ _6"> </span>Time<span class="_ _60"> </span>1/3</div><div class="t m0 x9 ha y60 ff7 fs6 fc3 sc0 ls0 ws0">::gettimeofday<span class="fc0">()<span class="_ _12"> </span><span class="ff4">:<span class="_ _e"> </span>time<span class="_ _c"> </span>resolution<span class="_ _c"> </span>1<span class="ff10">µ<span class="fff">s</span></span></span></span></div><div class="t m0 x9 hb y251 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><time.h><span class="_ _61"> </span>//struct<span class="_ _e"> </span>timeval</span></div><div class="t m0 x9 hb y252 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><sys/time.h><span class="_ _10"> </span>//gettimeofday()</span></div><div class="t m0 x9 hb y253 ff5 fs7 fcb sc0 ls0 ws0">struct<span class="_ _e"> </span><span class="fc3">timeval<span class="_ _6"> </span><span class="ff9 fc0">start,<span class="_"> </span>end;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>timeval<span class="_ _e"> </span>{second,<span class="_ _6"> </span>microseconds}</span></span></span></div><div class="t m0 x9 hb y254 ff9 fs7 fc7 sc0 ls0 ws0">::<span class="fc0">gettimeofday(</span>&<span class="fc0">start,<span class="_"> </span><span class="fcb">NULL</span>);</span></div><div class="t m0 x9 hb y255 ff9 fs7 fc0 sc0 ls0 ws0">...<span class="_ _2e"> </span><span class="ffd fc6">//<span class="_ _e"> </span>code</span></div><div class="t m0 x9 hb y256 ff9 fs7 fc7 sc0 ls0 ws0">::<span class="fc0">gettimeofday(</span>&<span class="fc0">end,<span class="_"> </span><span class="fcb">NULL</span>);</span></div><div class="t m0 x9 hb y257 ff5 fs7 fc8 sc0 ls0 ws0">long<span class="_ _e"> </span><span class="ff9 fc0">start_time<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>start.tv_sec<span class="_"> </span><span class="fc7">*<span class="_"> </span>1000000<span class="_"> </span>+<span class="_"> </span></span>start.tv_usec;</span></div><div class="t m0 x9 hb y258 ff5 fs7 fc8 sc0 ls0 ws0">long<span class="_ _e"> </span><span class="ff9 fc0">end_time<span class="_ _5e"> </span><span class="fc7">=<span class="_"> </span></span>end.tv_sec<span class="_"> </span><span class="fc7">*<span class="_"> </span>1000000<span class="_"> </span>+<span class="_"> </span></span>end.tv_usec;</span></div><div class="t m0 x9 hb y259 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"Elapsed:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>end_time<span class="_"> </span><span class="fc7">-<span class="_"> </span></span>start_time;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>microsec</span></div><div class="t m0 x1 h5 y25a ff1 fs3 fc0 sc0 ls0 ws0">Problems:<span class="_ _6"> </span><span class="ff4">Linux<span class="_ _9"> </span>only<span class="_ _9"> </span>(not<span class="_ _9"> </span>p<span class="_ _a"></span>o<span class="_ _3"></span>rtable),<span class="_ _9"> </span>the<span class="_ _9"> </span>time<span class="_ _9"> </span>is<span class="_ _9"> </span>not<span class="_ _9"> </span>monotonic<span class="_ _9"> </span>increasing<span class="_ _9"> </span>(timezone),<span class="_ _9"> </span>time</span></div><div class="t m0 x1 h5 y25b ff4 fs3 fc0 sc0 ls0 ws0">resolution<span class="_ _9"> </span>is<span class="_ _9"> </span>big</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">62/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf46" class="pf w0 h0" data-page-no="46"><div class="pc pc46 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _6"> </span>-<span class="_ _6"> </span>W<span class="_ _3"></span>all-Clo<span class="_ _a"></span>ck<span class="_ _6"> </span>Time<span class="_ _60"> </span>2/3</div><div class="t m0 x9 ha y25c ff7 fs6 fc3 sc0 ls0 ws0">std::chrono<span class="_ _b"> </span><span class="ff4 fce">C++11</span></div><div class="t m0 x9 hb y25d ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><chrono></span></div><div class="t m0 x9 hb y25e ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">start_time<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>system_clock<span class="fc7">::</span>now();</span></div><div class="t m0 x9 hb y25f ff9 fs7 fc0 sc0 ls0 ws0">...<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>code</span></div><div class="t m0 x9 hb y260 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">end_time<span class="_ _5e"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>system_clock<span class="fc7">::</span>now();</span></div><div class="t m0 x9 hb y261 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>chrono<span class="fc7">::</span>duration<span class="fc7"><<span class="ff5 fc8">double</span>><span class="_"> </span></span>diff<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>end_time<span class="_"> </span><span class="fc7">-<span class="_"> </span></span>start_time;</div><div class="t m0 x9 hb y262 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"Elapsed:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>diff.count();<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>seconds</span></div><div class="t m0 x9 hb y263 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>duration_cast<span class="fc7"><</span>milli<span class="fc7">></span>(diff).count();<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>ms</span></div><div class="t m0 x1 h5 y264 ff1 fs3 fc0 sc0 ls0 ws0">Problems:<span class="_ _6"> </span><span class="ff4">The<span class="_ _9"> </span>time<span class="_ _9"> </span>is<span class="_ _9"> </span>not<span class="_ _9"> </span>monotonic<span class="_ _9"> </span>increasing<span class="_ _9"> </span>(timezone)</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">63/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf47" class="pf w0 h0" data-page-no="47"><div class="pc pc47 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _6"> </span>-<span class="_ _6"> </span>W<span class="_ _3"></span>all-Clo<span class="_ _a"></span>ck<span class="_ _6"> </span>Time<span class="_ _60"> </span>3/3</div><div class="t m0 x1 ha y265 ff4 fs6 fc0 sc0 ls0 ws0">An<span class="_ _c"> </span>alternative<span class="_ _c"> </span>of<span class="_ _b"> </span><span class="ff7">system_clock<span class="_ _b"> </span></span>is<span class="_ _b"> </span><span class="ff5">steady_clock<span class="_ _b"> </span></span>which<span class="_ _c"> </span>ensures<span class="_ _c"> </span>monotonic</div><div class="t m0 x1 ha y266 ff4 fs6 fc0 sc0 ls0 ws0">increasing<span class="_ _c"> </span>time.</div><div class="t m0 x9 ha y267 ff5 fs6 fc0 sc0 ls0 ws0">steady_clock<span class="_ _b"> </span><span class="ff4">is<span class="_ _c"> </span>implemented<span class="_ _c"> </span>over<span class="_ _b"> </span><span class="ff7">clock_gettime<span class="_ _b"> </span></span>on<span class="_ _c"> </span>POSIX<span class="_ _c"> </span>system<span class="_ _c"> </span>and<span class="_ _c"> </span>has<span class="_ _c"> </span>1<span class="fff">ns</span></span></div><div class="t m0 x1 ha y268 ff4 fs6 fc0 sc0 ls0 ws0">time<span class="_ _c"> </span>resolution</div><div class="t m0 x9 hb y269 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><chrono></span></div><div class="t m0 x9 hb y26a ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">start_time<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>steady_clock<span class="fc7">::</span>now();</span></div><div class="t m0 x9 hb y26b ff9 fs7 fc0 sc0 ls0 ws0">...<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>code</span></div><div class="t m0 x9 hb y26c ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">end_time<span class="_ _5e"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>chrono<span class="fc7">::</span>steady_clock<span class="fc7">::</span>now();</span></div><div class="t m0 x1 ha y26d ff4 fs6 fc0 sc0 ls0 ws0">Ho<span class="_ _3"></span>w<span class="_ _3"></span>ever,<span class="_ _c"> </span>the<span class="_ _c"> </span>overhead<span class="_ _c"> </span>of<span class="_ _c"> </span>C++<span class="_ _c"> </span>API<span class="_ _c"> </span>is<span class="_ _c"> </span>not<span class="_ _c"> </span>alwa<span class="_ _23"></span>ys<span class="_ _c"> </span>negligible,<span class="_ _c"> </span>e.g.</div><div class="t m0 x1 ha y26e ff7 fs6 fc0 sc0 ls0 ws0">Linux<span class="_"> </span>libstdc++<span class="_ _c"> </span><span class="ffb">→<span class="_ _17"> </span><span class="ff4">20ns,<span class="_ _c"> </span></span></span>Mac<span class="_"> </span>libc++<span class="_ _c"> </span><span class="ffb">→<span class="_ _28"> </span><span class="ff4">41ns</span></span></div><div class="t m0 xa hb y26f ff9 fs7 fcd sc0 ls0 ws0">Measuring<span class="_"> </span>clock<span class="_"> </span>precision</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">64/87</div><a class="l" href="https://vitaut.net/posts/2023/measuring-clock-precision/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:2.821000px;width:119.676000px;height:13.444000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf48" class="pf w0 h0" data-page-no="48"><div class="pc pc48 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _6"> </span>-<span class="_ _6"> </span>User<span class="_ _6"> </span>Time</div><div class="t m0 x9 ha y270 ff7 fs6 fc3 sc0 ls0 ws0">std::clock<span class="_ _12"> </span><span class="ff4 fc0">,<span class="_ _c"> </span>implemented<span class="_ _c"> </span>over<span class="_ _b"> </span><span class="ff7">clock_gettime<span class="_ _b"> </span></span>on<span class="_ _c"> </span>POSIX<span class="_ _c"> </span>system<span class="_ _c"> </span>and<span class="_ _c"> </span>has<span class="_ _c"> </span>1<span class="fff">ns</span></span></div><div class="t m0 x1 ha y271 ff4 fs6 fc0 sc0 ls0 ws0">time<span class="_ _c"> </span>resolution</div><div class="t m0 x9 hb y272 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><chrono></span></div><div class="t m0 x9 hb y273 ff5 fs7 fc8 sc0 ls0 ws0">clock_t<span class="_ _e"> </span><span class="ff9 fc0">start_time<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>clock();</span></div><div class="t m0 x9 hb y274 ff9 fs7 fc0 sc0 ls0 ws0">...<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>code</span></div><div class="t m0 x9 hb y275 ff5 fs7 fc8 sc0 ls0 ws0">clock_t<span class="_ _e"> </span><span class="ff9 fc0">end_time<span class="_ _5e"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>clock();</span></div><div class="t m0 x9 hb y276 ff5 fs7 fc8 sc0 ls0 ws0">float<span class="_ _e"> </span><span class="ff9 fc0">diff<span class="_"> </span><span class="fc7">=<span class="_"> </span></span></span><span class="fcb">static_cast<span class="ff9 fc7"><</span></span>float<span class="ff9 fc7">><span class="fc0">(end_time<span class="_"> </span></span>-<span class="_"> </span><span class="fc0">start_time)<span class="_"> </span></span>/<span class="_"> </span><span class="fc0">CLOCKS_PER_SEC;</span></span></div><div class="t m0 x9 hb y277 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"Elapsed:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>diff;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>seconds</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">65/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf49" class="pf w0 h0" data-page-no="49"><div class="pc pc49 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Time<span class="_ _6"> </span>Measuring<span class="_ _6"> </span>-<span class="_ _6"> </span>User/System<span class="_ _6"> </span>Time</div><div class="t m0 x9 hb y278 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><sys/times.h></span></div><div class="t m0 x9 hb y15b ff5 fs7 fcb sc0 ls0 ws0">struct<span class="_ _e"> </span><span class="ff9 fc7">::<span class="fc0">tms<span class="_"> </span>start_time,<span class="_"> </span>end_time;</span></span></div><div class="t m0 x9 hb y15c ff9 fs7 fc7 sc0 ls0 ws0">::<span class="fc0">times(</span>&<span class="fc0">start_time);</span></div><div class="t m0 x9 hb y15d ff9 fs7 fc0 sc0 ls0 ws0">...<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>code</span></div><div class="t m0 x9 hb y15e ff9 fs7 fc7 sc0 ls0 ws0">::<span class="fc0">times(</span>&<span class="fc0">end_time);</span></div><div class="t m0 x9 hb y15f ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _1b"> </span><span class="ff9 fc0">user_diff<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>end_time.tmus_utime<span class="_"> </span><span class="fc7">-<span class="_"> </span></span>start_time.tms_utime;</span></div><div class="t m0 x9 hb y160 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _1b"> </span><span class="ff9 fc0">sys_diff<span class="_ _1b"> </span><span class="fc7">=<span class="_"> </span></span>end_time.tms_stime<span class="_"> </span><span class="fc7">-<span class="_"> </span></span>start_time.tms_stime;</span></div><div class="t m0 x9 hb y279 ff5 fs7 fc8 sc0 ls0 ws0">float<span class="_ _e"> </span><span class="ff9 fc0">user<span class="_ _22"> </span><span class="fc7">=<span class="_"> </span></span></span><span class="fcb">static_cast<span class="ff9 fc7"><</span></span>float<span class="ff9 fc7">><span class="fc0">(user_diff)<span class="_"> </span></span>/<span class="_"> </span>::<span class="fc0">sysconf(_SC_CLK_TCK);</span></span></div><div class="t m0 x9 hb y161 ff5 fs7 fc8 sc0 ls0 ws0">float<span class="_ _e"> </span><span class="ff9 fc0">sys<span class="_ _2d"> </span><span class="fc7">=<span class="_"> </span></span></span><span class="fcb">static_cast<span class="ff9 fc7"><</span></span>float<span class="ff9 fc7">><span class="fc0">(sys_diff)<span class="_ _1"> </span></span>/<span class="_"> </span>::<span class="fc0">sysconf(_SC_CLK_TCK);</span></span></div><div class="t m0 x9 hb y162 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"user<span class="_"> </span>time:<span class="_"> </span>"<span class="_ _2e"> </span></span><<<span class="_"> </span></span>user;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>seconds</span></div><div class="t m0 x9 hb y27a ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"system<span class="_"> </span>time:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>sys;<span class="_ _2e"> </span><span class="ffd fc6">//<span class="_ _e"> </span>in<span class="_ _6"> </span>seconds</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">66/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4a" class="pf w0 h0" data-page-no="4a"><div class="pc pc4a w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Std<span class="_ _1"> </span>Classes</div><a class="l" href="#pf4a" data-dest-detail='[74,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:137.252000px;width:130.947000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4b" class="pf w0 h0" data-page-no="4b"><div class="pc pc4b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::pair<span class="_ _36"> </span><span class="ff1">1/2</span></div><div class="t m0 x9 ha y60 ff7 fs6 fc3 sc0 ls0 ws0">std::pair<span class="_ _b"> </span><span class="ff4 fc0">(<span class="_ _12"> </span><span class="ff5"><utility><span class="_ _12"> </span></span>)<span class="_ _c"> </span>class<span class="_ _c"> </span>couples<span class="_ _c"> </span>together<span class="_ _c"> </span>a<span class="_ _c"> </span>pair<span class="_ _c"> </span>of<span class="_ _c"> </span>values,<span class="_ _c"> </span>which<span class="_ _c"> </span>may<span class="_ _9"> </span>b<span class="_ _a"></span>e<span class="_ _c"> </span>of</span></div><div class="t m0 x1 ha yb0 ff4 fs6 fc0 sc0 ls0 ws0">different<span class="_ _c"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>es</div><div class="t m0 x1 ha y27b ff4 fs6 fc0 sc0 ls0 ws0">Construct<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="ff7">std::pair</span></div><div class="t m0 xa h5 y27c ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::pair<span class="_"> </span>pair1(value1,<span class="_"> </span>value2)<span class="_ _12"> </span><span class="ff4">,<span class="_ _9"> </span><span class="fce">C++17<span class="_ _9"> </span></span>CT<span class="_ _23"></span>AD</span></span></div><div class="t m0 xa h5 y27d ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::pair<T1,<span class="_"> </span>T2><span class="_"> </span>pair2(value1,<span class="_"> </span>value2)</span></div><div class="t m0 xa h5 y27e ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::pair<T1,<span class="_"> </span>T2><span class="_"> </span>pair3<span class="_"> </span>=<span class="_"> </span>{value1,<span class="_"> </span>value2}</span></div><div class="t m0 xa h5 y27f ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">auto<span class="_"> </span>pair4<span class="_"> </span>=<span class="_"> </span>std::make_pair(value1,<span class="_"> </span>value2)</span></div><div class="t m0 x1 ha y280 ff4 fs6 fc0 sc0 ls0 ws0">Data<span class="_ _c"> </span>memb<span class="_ _a"></span>ers:</div><div class="t m0 xa ha y281 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">first<span class="_ _b"> </span><span class="ff4">access<span class="_ _c"> </span>first<span class="_ _c"> </span>field</span></span></div><div class="t m0 xa ha y282 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">second<span class="_ _b"> </span><span class="ff4">access<span class="_ _c"> </span>second<span class="_ _c"> </span>field</span></span></div><div class="t m0 x1 ha y283 ff4 fs6 fc0 sc0 ls0 ws0">Metho<span class="_ _a"></span>ds:</div><div class="t m0 xa ha y284 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">comparison<span class="_ _b"> </span><span class="ff7">==,<span class="_"> </span><,<span class="_"> </span>>,<span class="_"> </span><span class="ffb">≥</span>,<span class="_"> </span><span class="ffb">≤</span></span></span></div><div class="t m0 xa ha y285 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">swap<span class="_ _b"> </span><span class="ff7">std::swap</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">67/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4c" class="pf w0 h0" data-page-no="4c"><div class="pc pc4c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIj0lEQVR42u3YsU0DQRCG0VvrRo5W1ICIqAAhYkvuzE1QDgFF0AGRtRGTnAMky7ExaA69V8Hq3+TTtIenlwkAAMr4eH/bWAEAgGpEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAZy0zrQAAQB0R4ZIKAEA5IhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAD/3byit44xfBgAwHV67yt6rUsqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAi1QQAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEA4E+0zLQCAAB1RIRLKgAA5YhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAgAuzCW5ojGGEq/XejQAAfHNJBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAA69Yy0woAANQRES6pAACUI1IBABCpAAAgUgEAEKkAACBSAQAQqQAA8Nvm4+HeCgDAT3zuXo3ADT0+71u72y7Hr2lalsUgAACUcAILvSAAZLMCYgAAAABJRU5ErkJggg=="/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::pair<span class="_ _36"> </span><span class="ff1">2/2</span></div><div class="t m0 x9 hb y14e ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><utility></span></div><div class="t m0 x9 hb y150 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>pair<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span>std<span class="fc7">::</span>string<span class="fc7">><span class="_"> </span></span>pair1(<span class="fc7">3</span>,<span class="_"> </span><span class="fc9">"abc"</span>);</div><div class="t m0 x9 hb y286 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>pair<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span>std<span class="fc7">::</span>string<span class="fc7">><span class="_"> </span></span>pair2<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>{<span class="_"> </span><span class="fc7">4</span>,<span class="_"> </span><span class="fc9">"zzz"<span class="_"> </span></span>};</div><div class="t m0 x9 hb y151 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _62"> </span><span class="ff9 fc0">pair3<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>make_pair(<span class="fc7">3</span>,<span class="_"> </span><span class="fc9">"hgt"</span>);</span></div><div class="t m0 x9 hb y287 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>pair1.first;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>3</span></div><div class="t m0 x9 hb y153 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>pair1.second;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>"abc"</span></div><div class="t m0 x9 hb y288 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>swap(pair1,<span class="_"> </span>pair2);</div><div class="t m0 x9 hb y155 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>pair2.first;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>"zzz"</span></div><div class="t m0 x9 hb y156 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>pair2.second;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>4</span></div><div class="t m0 x9 hb y157 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>(pair1<span class="_"> </span><span class="fc7">><span class="_"> </span></span>pair2);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>1</span></div><div class="t m0 x1 h5 y289 ff4 fs3 fc0 sc0 ls0 ws0">Note:<span class="_ _28"> </span><span class="ff7">std::pair<span class="_ _10"> </span></span>is<span class="_ _9"> </span>not<span class="_ _9"> </span>trivially<span class="_ _9"> </span>copy<span class="_ _23"></span>able</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">68/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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<div id="pf4d" class="pf w0 h0" data-page-no="4d"><div class="pc pc4d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::tuple<span class="_ _63"> </span><span class="ff1">1/3</span></div><div class="t m0 x9 ha y60 ff7 fs6 fc3 sc0 ls0 ws0">std::tuple<span class="_ _b"> </span><span class="ff4 fc0">(<span class="_ _12"> </span><span class="ff5"><tuple><span class="_ _12"> </span></span>)<span class="_ _c"> </span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>fixed-size<span class="_ _c"> </span>collection<span class="_ _c"> </span>of<span class="_ _c"> </span>heterogeneous<span class="_ _c"> </span>values.<span class="_ _e"> </span>It<span class="_ _c"> </span>is<span class="_ _c"> </span>a</span></div><div class="t m0 x1 ha yb0 ff4 fs6 fc0 sc0 ls0 ws0">generalization<span class="_ _c"> </span>of<span class="_ _b"> </span><span class="ff7">std::pair<span class="_ _12"> </span></span>.<span class="_ _e"> </span>It<span class="_ _c"> </span>allows<span class="_ _9"> </span>any<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _c"> </span>of<span class="_ _c"> </span>values</div><div class="t m0 x1 ha y27b ff4 fs6 fc0 sc0 ls0 ws0">Construct<span class="_ _c"> </span>a<span class="_ _b"> </span><span class="ff7">std::tuple<span class="_ _b"> </span></span>(of<span class="_ _c"> </span>size<span class="_ _c"> </span>3)</div><div class="t m0 xa h5 y28a ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::tuple<span class="_"> </span>tuple1(value1,<span class="_"> </span>value2,<span class="_"> </span>value3)<span class="_ _12"> </span><span class="ff4">,<span class="_ _9"> </span><span class="fce">C++17<span class="_ _9"> </span></span>CT<span class="_ _23"></span>AD</span></span></div><div class="t m0 xa h5 y28b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::tuple<T1,<span class="_"> </span>T2,<span class="_"> </span>T3><span class="_"> </span>tuple2(value1,<span class="_"> </span>value2,<span class="_"> </span>value3)</span></div><div class="t m0 xa h5 y28c ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">std::tuple<T1,<span class="_"> </span>T2,<span class="_"> </span>T3><span class="_"> </span>tuple3<span class="_"> </span>=<span class="_"> </span>{value1,<span class="_"> </span>value2,<span class="_"> </span>value3}</span></div><div class="t m0 xa h5 y28d ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">auto<span class="_"> </span>tuple4<span class="_"> </span>=<span class="_"> </span><span class="fca">std::make_tuple</span>(value1,<span class="_"> </span>value2,<span class="_"> </span>value3)</span></div><div class="t m0 x1 ha y28e ff4 fs6 fc0 sc0 ls0 ws0">Data<span class="_ _c"> </span>memb<span class="_ _a"></span>ers:</div><div class="t m0 x9 ha y28f ff7 fs6 fc0 sc0 ls0 ws0">std:get<I>(tuple)<span class="_ _b"> </span><span class="ff4">returns<span class="_ _c"> </span>the<span class="_ _c"> </span><span class="fff">i<span class="_ _0"></span></span>-th<span class="_ _c"> </span>value<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>tuple</span></div><div class="t m0 x1 ha y290 ff4 fs6 fc0 sc0 ls0 ws0">Metho<span class="_ _a"></span>ds:</div><div class="t m0 xa ha y291 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">comparison<span class="_ _b"> </span><span class="ff7">==,<span class="_"> </span><,<span class="_"> </span>>,<span class="_"> </span><span class="ffb">≥</span>,<span class="_"> </span><span class="ffb">≤</span></span></span></div><div class="t m0 xa ha y292 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">swap<span class="_ _b"> </span><span class="ff7">std::swap</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">69/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4e" class="pf w0 h0" data-page-no="4e"><div class="pc pc4e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::tuple<span class="_ _63"> </span><span class="ff1">2/3</span></div><div class="t m0 xa ha y293 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">auto<span class="_"> </span>t3<span class="_"> </span>=<span class="_"> </span><span class="fca">std::tuple_cat</span>(t1,<span class="_"> </span>t2)</span></div><div class="t m0 x6 ha y294 ff4 fs6 fc0 sc0 ls0 ws0">concatenate<span class="_ _c"> </span>t<span class="_ _3"></span>w<span class="_ _3"></span>o<span class="_ _c"> </span>tuples</div><div class="t m0 xa ha y295 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">const<span class="_"> </span>int<span class="_"> </span>size<span class="_"> </span>=<span class="_"> </span><span class="fca">std::tuple_size</span><TupleT>::value</span></div><div class="t m0 x6 ha y296 ff4 fs6 fc0 sc0 ls0 ws0">returns<span class="_ _c"> </span>the<span class="_ _c"> </span>numb<span class="_ _a"></span>er<span class="_ _9"> </span>of<span class="_ _c"> </span>elements<span class="_ _c"> </span>in<span class="_ _c"> </span>a<span class="_ _c"> </span>tuple<span class="_ _c"> </span>at<span class="_ _c"> </span>compile-time</div><div class="t m0 xa ha y297 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7">using<span class="_"> </span>T<span class="_"> </span>=<span class="_"> </span>typename<span class="_"> </span><span class="fca">std::tuple_element</span><I,<span class="_"> </span>TupleT>::type<span class="_ _b"> </span><span class="ff4">obtains<span class="_ _c"> </span>the</span></span></div><div class="t m0 x6 ha y298 ff4 fs6 fc0 sc0 ls0 ws0">t<span class="_ _3"></span>yp<span class="_ _a"></span>e<span class="_ _9"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>sp<span class="_ _a"></span>ecified<span class="_ _c"> </span>element</div><div class="t m0 xa ha y299 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">std::tie<span class="fc0">(value1,<span class="_"> </span>value2,<span class="_"> </span>value3)<span class="_"> </span>=<span class="_"> </span>tuple</span></span></div><div class="t m0 x6 ha y29a ff4 fs6 fc0 sc0 ls0 ws0">creates<span class="_ _c"> </span>a<span class="_ _c"> </span>tuple<span class="_ _c"> </span>of<span class="_ _c"> </span>references<span class="_ _c"> </span>to<span class="_ _c"> </span>its<span class="_ _c"> </span>a<span class="_ _3"></span>rguments</div><div class="t m0 xa ha y29b ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">std::ignore</span></div><div class="t m0 x6 ha y29c ff4 fs6 fc0 sc0 ls0 ws0">an<span class="_ _c"> </span>object<span class="_ _c"> </span>of<span class="_ _c"> </span>unsp<span class="_ _a"></span>ecified<span class="_ _9"> </span>type<span class="_ _c"> </span>such<span class="_ _c"> </span>that<span class="_ _c"> </span>any<span class="_ _c"> </span>value<span class="_ _c"> </span>can<span class="_ _c"> </span>b<span class="_ _a"></span>e<span class="_ _c"> </span>assigned<span class="_ _c"> </span>to<span class="_ _c"> </span>it<span class="_ _c"> </span>with<span class="_ _c"> </span>no</div><div class="t m0 x6 ha y29d ff4 fs6 fc0 sc0 ls0 ws0">effect</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">70/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf4f" class="pf w0 h0" data-page-no="4f"><div class="pc pc4f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::tuple<span class="_ _63"> </span><span class="ff1">3/3</span></div><div class="t m0 x9 hb y29e ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><tuple></span></div><div class="t m0 x9 hb y29f ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>tuple<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span><span class="ff5 fc8">float</span>,<span class="_"> </span><span class="ff5 fc8">char</span><span class="fc7">><span class="_"> </span></span>f()<span class="_"> </span>{<span class="_"> </span><span class="ff5 fcb">return<span class="_ _e"> </span></span>{<span class="fc7">7</span>,<span class="_"> </span><span class="fc7">0.1f</span>,<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">a</span>'</span>};<span class="_"> </span>}</div><div class="t m0 x9 hb y2a0 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>tuple<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span><span class="ff5 fc8">char</span>,<span class="_"> </span><span class="ff5 fc8">float</span><span class="fc7">><span class="_"> </span></span>tuple1(<span class="fc7">3</span>,<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">c</span>'</span>,<span class="_"> </span><span class="fc7">2.2f</span>);</div><div class="t m0 x9 hb y2a1 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">tuple2<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>make_tuple(<span class="fc7">2</span>,<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">d</span>'</span>,<span class="_"> </span><span class="fc7">1.5f</span>);</span></div><div class="t m0 x9 hb y2a2 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><0></span>(tuple1);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>3</span></div><div class="t m0 x9 hb y2a3 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><1></span>(tuple1);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span><span class="ff11">'</span>c<span class="ff11">'</span></span></div><div class="t m0 x9 hb y2a4 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><2></span>(tuple1);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>2.2f</span></div><div class="t m0 x9 hb y2a5 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>(tuple1<span class="_"> </span><span class="fc7">><span class="_"> </span></span>tuple2);<span class="_ _2e"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>true</span></div><div class="t m0 x9 hb y2a6 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">concat<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>tuple_cat(tuple1,<span class="_"> </span>tuple2);</span></div><div class="t m0 x9 hb y2a7 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>std<span class="fc7">::</span>tuple_size<span class="fc7"><<span class="ff5 fcb">decltype</span></span>(concat)<span class="fc7">>::</span>value;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span>6</span></div><div class="t m0 x9 hb y2a8 ff5 fs7 fcb sc0 ls0 ws0">using<span class="_ _e"> </span><span class="ff9 fc0">T<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>tuple_element<span class="fc7"><4</span>,<span class="_"> </span></span>decltype<span class="ff9 fc0">(concat)<span class="fc7">>::</span>type;<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>T<span class="_ _e"> </span>is<span class="_ _e"> </span>int</span></span></div><div class="t m0 x9 hb y2a9 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc0">value1;<span class="_"> </span></span>float<span class="_ _6"> </span><span class="ff9 fc0">value2;</span></div><div class="t m0 x9 hb y2aa ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>tie(value1,<span class="_"> </span>value2,<span class="_"> </span>std<span class="fc7">::</span>ignore)<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>f();</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">71/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf50" class="pf w0 h0" data-page-no="50"><div class="pc pc50 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::variant<span class="_ _64"> </span><span class="ff1">1/3</span></div><div class="t m0 x9 ha y60 ff5 fs6 fc0 sc0 ls0 ws0"><variant><span class="_ _b"> </span><span class="ff4 fce">C++17</span></div><div class="t m0 x9 ha yb0 ff7 fs6 fc3 sc0 ls0 ws0">std::variant<span class="_ _b"> </span><span class="ff4 fc0">rep<span class="_ _3"></span>resents<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="ff1">t<span class="_ _3"></span>yp<span class="_ _a"></span>e-safe<span class="_ _4"> </span>union<span class="_ _c"> </span><span class="ff4">as<span class="_ _c"> </span>the<span class="_ _c"> </span>co<span class="_ _3"></span>rresp<span class="_ _a"></span>onding<span class="_ _9"> </span>objects<span class="_ _c"> </span>know</span></span></span></div><div class="t m0 x1 ha y2ab ff4 fs6 fc0 sc0 ls0 ws0">which<span class="_ _c"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>e<span class="_ _9"> </span>is<span class="_ _c"> </span>currently<span class="_ _c"> </span>b<span class="_ _a"></span>eing<span class="_ _c"> </span>held</div><div class="t m0 x1 ha y2ac ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _c"> </span>can<span class="_ _c"> </span>b<span class="_ _a"></span>e<span class="_ _9"> </span>indexed<span class="_ _c"> </span>by:</div><div class="t m0 xa h5 y2ad ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">std::get<index><span class="fc0">(variant)<span class="_ _10"> </span><span class="ff4">an<span class="_ _9"> </span>integer</span></span></span></div><div class="t m0 xa h5 y2ae ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _d"> </span><span class="ff7 fca">std::get<type><span class="fc0">(variant)<span class="_ _10"> </span><span class="ff4">a<span class="_ _9"> </span>type</span></span></span></div><div class="t m0 x9 hb y2af ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><variant></span></div><div class="t m0 x9 hb y2b0 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>variant<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span><span class="ff5 fc8">float</span>,<span class="_"> </span><span class="ff5 fc8">bool</span><span class="fc7">><span class="_"> </span></span>v(<span class="fc7">3.3f</span>);</div><div class="t m0 x9 hb y2b1 ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _1b"> </span><span class="ff9 fc0">x<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><0></span>(v);<span class="_ _20"> </span><span class="ffd fc6">//<span class="_ _e"> </span>return<span class="_ _6"> </span>integer<span class="_ _e"> </span>value</span></span></div><div class="t m0 x9 hb y2b2 ff5 fs7 fc8 sc0 ls0 ws0">bool<span class="_ _e"> </span><span class="ff9 fc0">y<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><</span></span>bool<span class="ff9 fc7">><span class="fc0">(v);<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>return<span class="_ _e"> </span>bool<span class="_ _e"> </span>value</span></span></span></div><div class="t m0 x9 hb y2b3 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _1b"> </span>std::get<0>(v)<span class="_ _e"> </span>=<span class="_ _6"> </span>2.0f;<span class="_ _1b"> </span>//<span class="_ _e"> </span>run-time<span class="_ _e"> </span>exception!!</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">72/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf51" class="pf w0 h0" data-page-no="51"><div class="pc pc51 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::variant<span class="_ _64"> </span><span class="ff1">2/3</span></div><div class="t m0 x1 ha y2b4 ff4 fs6 fc0 sc0 ls0 ws0">Another<span class="_ _c"> </span>useful<span class="_ _c"> </span>metho<span class="_ _a"></span>d<span class="_ _9"> </span>is<span class="_ _b"> </span><span class="ff7 fca">index<span class="fc0">()<span class="_ _b"> </span></span></span>which<span class="_ _c"> </span>returns<span class="_ _c"> </span>the<span class="_ _c"> </span>p<span class="_ _a"></span>osition<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>type<span class="_ _c"> </span>currently</div><div class="t m0 x1 ha y2b5 ff4 fs6 fc0 sc0 ls0 ws0">held<span class="_ _c"> </span>b<span class="_ _3"></span>y<span class="_ _c"> </span>the<span class="_ _c"> </span>va<span class="_ _3"></span>riant</div><div class="t m0 x9 hb y2b6 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><variant></span></div><div class="t m0 x9 hb y2b7 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>variant<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_"> </span><span class="ff5 fc8">float</span>,<span class="_"> </span><span class="ff5 fc8">bool</span><span class="fc7">><span class="_"> </span></span>v(<span class="fc7">3.3f</span>);</div><div class="t m0 x9 hb y2b8 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>v.index();<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>return<span class="_ _6"> </span>1</span></div><div class="t m0 x9 hb y2b9 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>get<span class="fc7"><<span class="ff5 fc8">bool</span>></span>(v)<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fcb">true</span></span></div><div class="t m0 x9 hb y2ba ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>v.index();<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>return<span class="_ _6"> </span>2</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">73/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf52" class="pf w0 h0" data-page-no="52"><div class="pc pc52 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::variant<span class="_ _6"> </span><span class="ff1">+<span class="_ _6"> </span>Visito<span class="_ _3"></span>r<span class="_ _65"> </span>3/3</span></div><div class="t m0 x1 ha y60 ff4 fs6 fc0 sc0 ls0 ws0">It<span class="_ _c"> </span>is<span class="_ _c"> </span>also<span class="_ _9"> </span>p<span class="_ _a"></span>ossible<span class="_ _c"> </span>to<span class="_ _c"> </span>query<span class="_ _c"> </span>the<span class="_ _c"> </span>index<span class="_ _c"> </span>at<span class="_ _c"> </span>run-time<span class="_ _c"> </span>depending<span class="_ _c"> </span>on<span class="_ _c"> </span>the<span class="_ _c"> </span>type<span class="_ _c"> </span>currently<span class="_ _c"> </span>b<span class="_ _a"></span>eing</div><div class="t m0 x1 ha yb0 ff4 fs6 fc0 sc0 ls0 ws0">held<span class="_ _c"> </span>b<span class="_ _3"></span>y<span class="_ _c"> </span>p<span class="_ _3"></span>roviding<span class="_ _c"> </span>a<span class="_ _c"> </span><span class="ff1">visito<span class="_ _3"></span>r</span></div><div class="t m0 x9 hf y2bb ffd fs5 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _8"> </span><span class="fc6"><variant></span></div><div class="t m0 x9 hf y2bc ff5 fs5 fcb sc0 ls0 ws0">struct<span class="_ _6"> </span><span class="fc3">Visitor<span class="_ _4"> </span><span class="ff12 fc0">{</span></span></div><div class="t m0 x1d hf y2bd ff5 fs5 fc8 sc0 ls0 ws0">void<span class="_ _6"> </span><span class="ff12 fc3">operator<span class="fc0">()(</span></span>int<span class="ff12 fc7">&<span class="_ _4"> </span><span class="fc0">value)<span class="_ _4d"> </span>{<span class="_ _4"> </span>value<span class="_ _6"> </span></span>*=<span class="_ _6"> </span>2<span class="fc0">;<span class="_ _4"> </span>}</span></span></div><div class="t m0 x1d hf y2be ff5 fs5 fc8 sc0 ls0 ws0">void<span class="_ _6"> </span><span class="ff12 fc3">operator<span class="fc0">()(</span></span>float<span class="ff12 fc7">&<span class="_ _4"> </span><span class="fc0">value)<span class="_ _6"> </span>{<span class="_ _6"> </span>value<span class="_ _4"> </span></span>+=<span class="_ _6"> </span>3.0f<span class="fc0">;<span class="_ _6"> </span>}<span class="_ _4"> </span><span class="ffd fc6">//<span class="_ _6"> </span><--</span></span></span></div><div class="t m0 x1d hf y2bf ff5 fs5 fc8 sc0 ls0 ws0">void<span class="_ _6"> </span><span class="ff12 fc3">operator<span class="fc0">()(</span></span>bool<span class="ff12 fc7">&<span class="_ _4"> </span><span class="fc0">value)<span class="_ _d"> </span>{<span class="_ _6"> </span>value<span class="_ _6"> </span></span>=<span class="_ _4"> </span><span class="fcb">true<span class="fc0">;<span class="_ _6"> </span>}</span></span></span></div><div class="t m0 x9 hf y2c0 ff12 fs5 fc0 sc0 ls0 ws0">};</div><div class="t m0 x9 hf y2c1 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>variant<span class="fc7"><<span class="ff5 fc8">int</span></span>,<span class="_ _6"> </span><span class="ff5 fc8">float</span>,<span class="_ _4"> </span><span class="ff5 fc8">bool</span><span class="fc7">><span class="_ _6"> </span></span>v(<span class="fc7">3.3f</span>);</div><div class="t m0 x9 hf y2c2 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>visit(v,<span class="_ _6"> </span>Visitor{});</div><div class="t m0 x9 hf y2c3 ff12 fs5 fc0 sc0 ls0 ws0">cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>std<span class="fc7">::</span>get<span class="fc7"><<span class="ff5 fc8">float</span>></span>(v);<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _6"> </span>6.3f</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">74/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf53" class="pf w0 h0" data-page-no="53"><div class="pc pc53 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::optional<span class="_ _66"> </span><span class="ff1">1/2</span></div><div class="t m0 x9 ha y60 ff5 fs6 fc0 sc0 ls0 ws0"><optional><span class="_ _b"> </span><span class="ff4 fce">C++17</span></div><div class="t m0 x9 ha yb0 ff7 fs6 fc3 sc0 ls0 ws0">std::optional<span class="_ _b"> </span><span class="ff4 fc0">p<span class="_ _3"></span>rovides<span class="_ _c"> </span>facilities<span class="_ _c"> </span>to<span class="_ _c"> </span>rep<span class="_ _3"></span>resent<span class="_ _c"> </span>p<span class="_ _a"></span>otential<span class="_ _9"> </span>“no<span class="_ _c"> </span>value”<span class="_ _c"> </span>states</span></div><div class="t m0 x1 ha y27b ff4 fs6 fc0 sc0 ls0 ws0">As<span class="_ _c"> </span>an<span class="_ _c"> </span>example,<span class="_ _c"> </span>it<span class="_ _c"> </span>can<span class="_ _c"> </span>b<span class="_ _a"></span>e<span class="_ _9"> </span>used<span class="_ _c"> </span>for<span class="_ _9"> </span>representing<span class="_ _9"> </span>the<span class="_ _c"> </span>state<span class="_ _c"> </span>when<span class="_ _4"> </span>an<span class="_ _c"> </span>element<span class="_ _c"> </span>is<span class="_ _c"> </span>not<span class="_ _c"> </span>found</div><div class="t m0 x1 ha y2c4 ff4 fs6 fc0 sc0 ls0 ws0">in<span class="_ _c"> </span>a<span class="_ _c"> </span>set</div><div class="t m0 x9 hb y2c5 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><optional></span></div><div class="t m0 x9 hb y2c6 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>optional<span class="fc7"><</span>std<span class="fc7">::</span>string<span class="fc7">><span class="_"> </span></span>find(<span class="ff5 fcb">const<span class="_ _e"> </span><span class="fc8">char</span></span><span class="fc7">*<span class="_"> </span></span>set,<span class="_"> </span><span class="ff5 fc8">char<span class="_ _6"> </span></span>value)<span class="_"> </span>{</div><div class="t m0 x13 hb y2c7 ff5 fs7 fcb sc0 ls0 ws0">for<span class="_ _e"> </span><span class="ff9 fc0">(</span><span class="fc8">int<span class="_ _6"> </span><span class="ff9 fc0">i<span class="_"> </span><span class="fc7">=<span class="_"> </span>0</span>;<span class="_"> </span>i<span class="_"> </span><span class="fc7"><<span class="_"> </span>10</span>;<span class="_"> </span>i<span class="fc7">++</span>)<span class="_"> </span>{</span></span></div><div class="t m0 x54 hb y2c8 ff5 fs7 fcb sc0 ls0 ws0">if<span class="_ _e"> </span><span class="ff9 fc0">(set[i]<span class="_"> </span><span class="fc7">==<span class="_"> </span></span>value)</span></div><div class="t m0 x55 hb y2c9 ff5 fs7 fcb sc0 ls0 ws0">return<span class="_ _e"> </span><span class="ff9 fc0">i;</span></div><div class="t m0 x13 hb y2ca ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x13 hb y2cb ff5 fs7 fcb sc0 ls0 ws0">return<span class="_ _e"> </span><span class="ff9 fc0">{};<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span>std::nullopt;</span></span></div><div class="t m0 x9 hb y2cc ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">75/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf54" class="pf w0 h0" data-page-no="54"><div class="pc pc54 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::optional<span class="_ _66"> </span><span class="ff1">2/2</span></div><div class="t m0 x9 hb y2cd ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><optional></span></div><div class="t m0 x9 hb y2ce ff5 fs7 fc8 sc0 ls0 ws0">char<span class="_ _e"> </span><span class="ff9 fc0">set[]<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"sdfslgfsdg"</span></span>;</span></div><div class="t m0 x9 hb y2cf ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">x<span class="_ _2c"> </span><span class="fc7">=<span class="_"> </span></span>find(set,<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">a</span>'</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _6"> </span><span class="ff11">'</span>a<span class="ff11">'<span class="_ _e"> </span></span>is<span class="_ _e"> </span>not<span class="_ _6"> </span>present</span></span></div><div class="t m0 x9 hb y2d0 ff5 fs7 fcb sc0 ls0 ws0">if<span class="_ _e"> </span><span class="ff9 fc0">(<span class="fc7">!</span>x)</span></div><div class="t m0 x6 hb y2d1 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"not<span class="_"> </span>found"</span></span>;</div><div class="t m0 x9 hb y2d2 ff5 fs7 fcb sc0 ls0 ws0">if<span class="_ _e"> </span><span class="ff9 fc0">(<span class="fc7">!</span>x.has_value())</span></div><div class="t m0 x6 hb y2d3 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"not<span class="_"> </span>found"</span></span>;</div><div class="t m0 x9 hb y2d4 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">y<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>find(set,<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">l</span>'</span>);</span></div><div class="t m0 x9 hb y2d5 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span>*</span>y<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>y.value();<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>print<span class="_ _6"> </span><span class="ff11">'</span>4<span class="ff11">'<span class="_ _e"> </span>'</span>4<span class="ff11">'</span></span></div><div class="t m0 x9 hb y2d6 ff9 fs7 fc0 sc0 ls0 ws0">x.value_or(<span class="fc7">-1</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>returns<span class="_ _6"> </span><span class="ff11">'</span>-1<span class="ff11">'</span></span></div><div class="t m0 x9 hb y2d7 ff9 fs7 fc0 sc0 ls0 ws0">y.value_or(<span class="fc7">-1</span>);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>returns<span class="_ _6"> </span><span class="ff11">'</span>4<span class="ff11">'</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">76/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf55" class="pf w0 h0" data-page-no="55"><div class="pc pc55 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h11 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::any</div><div class="t m0 x9 ha y60 ff5 fs6 fc0 sc0 ls0 ws0"><any><span class="_ _b"> </span><span class="ff4 fce">C++17</span></div><div class="t m0 x9 ha yb0 ff7 fs6 fc3 sc0 ls0 ws0">std::any<span class="_ _b"> </span><span class="ff4 fc0">holds<span class="_ _c"> </span>a<span class="_ _3"></span>rbitra<span class="_ _3"></span>ry<span class="_ _c"> </span>values<span class="_ _c"> </span>and<span class="_ _c"> </span>provides<span class="_ _9"> </span><span class="ff1">type-safety</span></span></div><div class="t m0 x9 hf y2d8 ffd fs5 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _8"> </span><span class="fc6"><any></span></div><div class="t m0 x9 hf y2d9 ff12 fs5 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>any<span class="_ _6"> </span>var<span class="_ _4"> </span><span class="fc7">=<span class="_ _6"> </span>1</span>;<span class="_ _25"> </span><span class="ffd fc6">//<span class="_ _6"> </span>int</span></div><div class="t m0 x9 hf y2da ff12 fs5 fc0 sc0 ls0 ws0">cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>var.type().name();<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _6"> </span>print<span class="_ _4"> </span><span class="ff11">'</span>i<span class="ff11">'</span></span></div><div class="t m0 x9 hf y2db ff12 fs5 fc0 sc0 ls0 ws0">cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>std<span class="fc7">::</span>any_cast<span class="fc7"><<span class="ff5 fc8">int</span>></span>(var);</div><div class="t m0 x9 hf y2dc ffd fs5 fc6 sc0 ls0 ws0">//<span class="_ _6"> </span>cout<span class="_ _4"> </span><<<span class="_ _6"> </span>std::any_cast<float>(var);<span class="_ _4"> </span>//<span class="_ _6"> </span>exception!!</div><div class="t m0 x9 hf y2dd ff12 fs5 fc0 sc0 ls0 ws0">var<span class="_ _6"> </span><span class="fc7">=<span class="_ _4"> </span>3.14</span>;<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _6"> </span>double</span></div><div class="t m0 x9 hf y2de ff12 fs5 fc0 sc0 ls0 ws0">cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>std<span class="fc7">::</span>any_cast<span class="fc7"><<span class="ff5 fc8">double</span>></span>(var);</div><div class="t m0 x9 hf y2df ff12 fs5 fc0 sc0 ls0 ws0">var.reset();</div><div class="t m0 x9 hf y2e0 ff12 fs5 fc0 sc0 ls0 ws0">cout<span class="_ _6"> </span><span class="fc7"><<<span class="_ _4"> </span></span>var.has_value();<span class="_ _6"> </span><span class="ffd fc6">//<span class="_ _6"> </span>print<span class="_ _4"> </span><span class="ff11">'</span>false<span class="ff11">'</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">77/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf56" class="pf w0 h0" data-page-no="56"><div class="pc pc56 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::stacktrace<span class="_ _67"> </span><span class="ff1">1/2</span></div><div class="t m0 x1 ha y60 ff4 fs6 fce sc0 ls0 ws0">C++23<span class="_ _c"> </span><span class="fc0">intro<span class="_ _a"></span>duces<span class="_ _b"> </span><span class="ff5">std::stacktrace<span class="_ _b"> </span></span>lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry<span class="_ _9"> </span>to<span class="_ _c"> </span>get<span class="_ _c"> </span>the<span class="_ _c"> </span>current<span class="_ _c"> </span>function<span class="_ _c"> </span>call<span class="_ _c"> </span>stack,</span></div><div class="t m0 x1 ha yb0 ff4 fs6 fc0 sc0 ls0 ws0">namely<span class="_ _c"> </span>the<span class="_ _c"> </span>sequence<span class="_ _c"> </span>of<span class="_ _c"> </span>calls<span class="_ _c"> </span>from<span class="_ _c"> </span>the<span class="_ _b"> </span><span class="ff7">main()<span class="_ _b"> </span></span>entry<span class="_ _c"> </span>p<span class="_ _a"></span>oint</div><div class="t m0 x9 hb y2e1 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><print></span></div><div class="t m0 x9 hb y2e2 ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><stacktrace><span class="_ _10"> </span>//<span class="_ _e"> </span>the<span class="_ _6"> </span>program<span class="_ _e"> </span>must<span class="_ _e"> </span>be<span class="_ _e"> </span>linked<span class="_ _6"> </span>with<span class="_ _e"> </span>the<span class="_ _e"> </span>library</span></div><div class="t m0 x3a hb y2e3 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>-lstdc++_libbacktrace</div><div class="t m0 x3a hb y2e4 ffd fs7 fc6 sc0 ls0 ws0">//<span class="_ _e"> </span>(-lstdc++exp<span class="_ _6"> </span>with<span class="_ _e"> </span>gcc-14<span class="_ _e"> </span>trunk)</div><div class="t m0 x9 hb y2e5 ff5 fs7 fc8 sc0 ls0 ws0">void<span class="_ _e"> </span><span class="ff9 fc3">g<span class="fc0">()<span class="_"> </span>{</span></span></div><div class="t m0 x6 hb y2e6 ff5 fs7 fcb sc0 ls0 ws0">auto<span class="_ _e"> </span><span class="ff9 fc0">call_stack<span class="_"> </span><span class="fc7">=<span class="_"> </span></span>std<span class="fc7">::</span>stacktrace<span class="fc7">::</span>current();</span></div><div class="t m0 x6 hb y2e7 ff5 fs7 fcb sc0 ls0 ws0">for<span class="_ _e"> </span><span class="ff9 fc0">(</span>const<span class="_ _6"> </span>auto<span class="ff9 fc7">&<span class="_"> </span><span class="fc0">entry<span class="_"> </span></span>:<span class="_"> </span><span class="fc0">call_stack)</span></span></div><div class="t m0 x1f hb y2e8 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>print(<span class="fc9">"{}<span class="ff5 fcc">\n</span>"</span>,<span class="_"> </span>entry);</div><div class="t m0 x9 hb y2e9 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x9 hb y2ea ff5 fs7 fc8 sc0 ls0 ws0">void<span class="_ _e"> </span><span class="ff9 fc3">f<span class="fc0">()<span class="_"> </span>{<span class="_"> </span>g();<span class="_"> </span>}</span></span></div><div class="t m0 x9 hb y2eb ff5 fs7 fc8 sc0 ls0 ws0">int<span class="_ _e"> </span><span class="ff9 fc3">main<span class="fc0">()<span class="_"> </span>{<span class="_"> </span>f();<span class="_"> </span>}</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">78/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf57" class="pf w0 h0" data-page-no="57"><div class="pc pc57 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">std::stacktrace<span class="_ _67"> </span><span class="ff1">2/2</span></div><div class="t m0 x1 ha y1bd ff4 fs6 fc0 sc0 ls0 ws0">the<span class="_ _c"> </span>p<span class="_ _3"></span>revious<span class="_ _c"> </span>co<span class="_ _a"></span>de<span class="_ _9"> </span>prints</div><div class="t m0 xa hb y2ec ff9 fs7 fc0 sc0 ls0 ws0">g()<span class="_"> </span>at<span class="_"> </span><span class="fc7">/</span>app<span class="fc7">/</span>example.cpp<span class="fc7">:6</span></div><div class="t m0 xa hb y2ed ff9 fs7 fc0 sc0 ls0 ws0">f()<span class="_"> </span>at<span class="_"> </span><span class="fc7">/</span>app<span class="fc7">/</span>example.cpp<span class="fc7">:11</span></div><div class="t m0 x9 hb y2ee ff9 fs7 fc0 sc0 ls0 ws0">main<span class="_"> </span>at<span class="_"> </span><span class="fc7">/</span>app<span class="fc7">/</span>example.cpp<span class="fc7">:13</span></div><div class="t m0 x13 hb y2ef ff9 fs7 fc11 sc0 ls0 ws0">at<span class="_"> </span><span class="fc0">:<span class="fc7">0</span></span></div><div class="t m0 x9 hb y2f0 ff9 fs7 fc0 sc0 ls0 ws0">__libc_start_main<span class="_"> </span>at<span class="_"> </span><span class="fc7">:0</span></div><div class="t m0 x9 hb y2f1 ff9 fs7 fc0 sc0 ls0 ws0">_start<span class="_"> </span>at<span class="_"> </span><span class="fc7">:0</span></div><div class="t m0 x1 ha y2f2 ff4 fs6 fc0 sc0 ls0 ws0">The<span class="_ _c"> </span>lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry<span class="_ _c"> </span>also<span class="_ _c"> </span>provides<span class="_ _9"> </span>additional<span class="_ _c"> </span>functions<span class="_ _c"> </span>for<span class="_ _10"> </span><span class="ff7">entry<span class="_ _b"> </span></span>to<span class="_ _c"> </span>allow<span class="_ _9"> </span>fine-grained<span class="_ _c"> </span>control</div><div class="t m0 x1 ha y2f3 ff4 fs6 fc0 sc0 ls0 ws0">of<span class="_ _c"> </span>the<span class="_ _c"> </span>output<span class="_ _b"> </span><span class="ff7">description()<span class="_ _12"> </span></span>,<span class="_ _b"> </span><span class="ff7">source_file()<span class="_ _12"> </span></span>,<span class="_ _b"> </span><span class="ff7">source_line()</span></div><div class="t m0 x9 hb y2f4 ff5 fs7 fcb sc0 ls0 ws0">for<span class="_ _e"> </span><span class="ff9 fc0">(</span>const<span class="_ _6"> </span>auto<span class="ff9 fc7">&<span class="_"> </span><span class="fc0">entry<span class="_"> </span></span>:<span class="_"> </span><span class="fc0">call_stack)<span class="_"> </span>{<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>same<span class="_ _e"> </span>output</span></span></span></div><div class="t m0 x6 hb y2f5 ff9 fs7 fc0 sc0 ls0 ws0">std<span class="fc7">::</span>print(<span class="fc9">"{}<span class="_"> </span>at<span class="_"> </span>{}:{}<span class="ff5 fcc">\n</span>"</span>,<span class="_"> </span>entry.description(),<span class="_"> </span>entry.source_file(),</div><div class="t m0 x3f hb y2f6 ff9 fs7 fc0 sc0 ls0 ws0">entry.source_line());</div><div class="t m0 x9 hb y2f7 ff9 fs7 fc0 sc0 ls0 ws0">}</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">79/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf58" class="pf w0 h0" data-page-no="58"><div class="pc pc58 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x8 h2 yce ff1 fs0 fc0 sc0 ls0 ws0">Filesystem<span class="_ _1"> </span>Lib<span class="_ _23"></span>ra<span class="_ _23"></span>ry</div><a class="l" href="#pf58" data-dest-detail='[88,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:206.010000px;height:24.026000px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
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<div id="pf59" class="pf w0 h0" data-page-no="59"><div class="pc pc59 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Filesystem<span class="_ _6"> </span>Lib<span class="_ _3"></span>ra<span class="_ _3"></span>ry</div><div class="t m0 x1 ha y2f8 ff4 fs6 fce sc0 ls0 ws0">C++17<span class="_ _c"> </span><span class="fc0">intro<span class="_ _a"></span>duces<span class="_ _9"> </span>abstractions<span class="_ _c"> </span>and<span class="_ _c"> </span>facilities<span class="_ _c"> </span>for<span class="_ _9"> </span>p<span class="_ _a"></span>erforming<span class="_ _9"> </span>op<span class="_ _a"></span>erations<span class="_ _c"> </span>on<span class="_ _c"> </span>file<span class="_ _c"> </span>systems</span></div><div class="t m0 x1 ha y2f9 ff4 fs6 fc0 sc0 ls0 ws0">and<span class="_ _c"> </span>their<span class="_ _c"> </span>comp<span class="_ _a"></span>onents,<span class="_ _9"> </span>such<span class="_ _c"> </span>as<span class="_ _c"> </span><span class="ff1">paths</span>,<span class="_ _4"> </span><span class="ff1">files</span>,<span class="_ _c"> </span>and<span class="_ _c"> </span><span class="ff1">directo<span class="_ _3"></span>ries</span></div><div class="t m0 xa ha y2fa ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Follo<span class="_ _3"></span>w<span class="_ _9"> </span>the<span class="_ _c"> </span>Bo<span class="_ _a"></span>ost<span class="_ _c"> </span>filesystem<span class="_ _c"> </span>libra<span class="_ _23"></span>ry</span></div><div class="t m0 xa ha y2fb ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Based<span class="_ _c"> </span>on<span class="_ _c"> </span>POSIX</span></div><div class="t m0 xa ha y2fc ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Fully-supported<span class="_ _9"> </span>from<span class="_ _c"> </span><span class="ff7">clang<span class="_"> </span>7</span>,<span class="_ _c"> </span><span class="ff7">gcc<span class="_"> </span>8</span>,<span class="_ _c"> </span>etc.</span></div><div class="t m0 xa ha y2fd ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff4">Wo<span class="_ _3"></span>rk<span class="_ _9"> </span>on<span class="_ _c"> </span>Windows,<span class="_ _9"> </span>Linux,<span class="_ _c"> </span>Android,<span class="_ _c"> </span>etc.</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">80/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Basic<span class="_ _6"> </span>concepts</div><div class="t m0 xa ha y293 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">file<span class="ff4">:<span class="_ _e"> </span>a<span class="_ _c"> </span>file<span class="_ _c"> </span>system<span class="_ _c"> </span>object<span class="_ _c"> </span>that<span class="_ _c"> </span>holds<span class="_ _c"> </span>data</span></span></div><div class="t m0 xd h5 y2fe ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">directory<span class="_ _9"> </span><span class="ff4">a<span class="_ _9"> </span>container<span class="_ _9"> </span>of<span class="_ _9"> </span>directo<span class="_ _3"></span>ry<span class="_ _9"> </span>entries</span></span></div><div class="t m0 xd h5 y2ff ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">hard<span class="_ _9"> </span>link<span class="_ _9"> </span><span class="ff4">asso<span class="_ _a"></span>ciates<span class="_ _9"> </span>a<span class="_ _9"> </span>name<span class="_ _9"> </span>with<span class="_ _9"> </span>an<span class="_ _9"> </span>existing<span class="_ _9"> </span>file</span></span></div><div class="t m0 xd h5 y300 ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">symb<span class="_ _a"></span>olic<span class="_ _c"> </span>link<span class="_ _9"> </span><span class="ff4">asso<span class="_ _a"></span>ciates<span class="_ _9"> </span>a<span class="_ _9"> </span>name<span class="_ _9"> </span>with<span class="_ _9"> </span>a<span class="_ _9"> </span>path</span></span></div><div class="t m0 xd h5 y301 ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">regular<span class="_ _9"> </span>file<span class="_ _9"> </span><span class="ff4">a<span class="_ _9"> </span>file<span class="_ _9"> </span>that<span class="_ _9"> </span>is<span class="_ _9"> </span>not<span class="_ _9"> </span>one<span class="_ _9"> </span>of<span class="_ _9"> </span>the<span class="_ _9"> </span>other<span class="_ _9"> </span>file<span class="_ _c"> </span>t<span class="_ _3"></span>yp<span class="_ _a"></span>es</span></span></div><div class="t m0 xa ha y302 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">file<span class="_ _6"> </span>name<span class="ff4">:<span class="_ _e"> </span>a<span class="_ _9"> </span>string<span class="_ _c"> </span>of<span class="_ _c"> </span>characters<span class="_ _9"> </span>that<span class="_ _c"> </span>names<span class="_ _c"> </span>a<span class="_ _c"> </span>file.<span class="_ _e"> </span>Names<span class="_ _b"> </span><span class="ff5">.<span class="_ _b"> </span></span>(dot)<span class="_ _c"> </span>and<span class="_ _b"> </span><span class="ff5">..</span></span></span></div><div class="t m0 x6 ha y303 ff4 fs6 fc0 sc0 ls0 ws0">(dot-dot)<span class="_ _c"> </span>have<span class="_ _c"> </span>sp<span class="_ _a"></span>ecial<span class="_ _9"> </span>meaning<span class="_ _c"> </span>at<span class="_ _c"> </span>libra<span class="_ _3"></span>ry<span class="_ _9"> </span>level</div><div class="t m0 xa ha y304 ff8 fs6 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">path<span class="ff4">:<span class="_ _e"> </span>sequence<span class="_ _c"> </span>of<span class="_ _c"> </span>elements<span class="_ _c"> </span>that<span class="_ _c"> </span>identifies<span class="_ _c"> </span>a<span class="_ _c"> </span>file</span></span></div><div class="t m0 xd h5 y305 ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">absolute<span class="_ _c"> </span>path<span class="ff4">:<span class="_ _6"> </span>a<span class="_ _c"> </span>path<span class="_ _9"> </span>that<span class="_ _9"> </span>unambiguously<span class="_ _9"> </span>identifies<span class="_ _9"> </span>the<span class="_ _9"> </span>location<span class="_ _9"> </span>of<span class="_ _9"> </span>a<span class="_ _9"> </span>file</span></span></div><div class="t m0 xd h5 y306 ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">canonical<span class="_ _c"> </span>path<span class="ff4">:<span class="_ _6"> </span>an<span class="_ _c"> </span>absolute<span class="_ _9"> </span>path<span class="_ _9"> </span>that<span class="_ _9"> </span>includes<span class="_ _9"> </span>no<span class="_ _9"> </span>symlinks,<span class="_ _10"> </span><span class="ff7">.<span class="_ _10"> </span></span>or<span class="_ _13"> </span><span class="ff7">..<span class="_ _10"> </span></span>elements</span></span></div><div class="t m0 xd h5 y307 ff8 fs3 fc0 sc0 ls0 ws0">◦<span class="_ _8"> </span><span class="ff1">relative<span class="_ _9"> </span>path<span class="ff4">:<span class="_ _6"> </span>a<span class="_ _12"> </span>path<span class="_ _12"> </span>that<span class="_ _12"> </span>identifies<span class="_ _12"> </span>a<span class="_ _9"> </span>file<span class="_ _12"> </span>relative<span class="_ _12"> </span>to<span class="_ _12"> </span>some<span class="_ _12"> </span>lo<span class="_ _a"></span>cation<span class="_ _12"> </span>on<span class="_ _12"> </span>the<span class="_ _12"> </span>file<span class="_ _12"> </span>system</span></span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">81/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf5b" class="pf w0 h0" data-page-no="5b"><div class="pc pc5b w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">path<span class="_ _6"> </span><span class="ff1">Object</span></div><div class="t m0 x1 ha y129 ff4 fs6 fc0 sc0 ls0 ws0">A<span class="_ _b"> </span><span class="ff7 fc3">path<span class="_ _b"> </span></span>object<span class="_ _c"> </span>sto<span class="_ _3"></span>res<span class="_ _c"> </span>the<span class="_ _c"> </span>pathname<span class="_ _c"> </span>in<span class="_ _c"> </span>native<span class="_ _c"> </span>fo<span class="_ _3"></span>rm</div><div class="t m0 x9 hb y12a ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><filesystem><span class="_ _10"> </span>//<span class="_ _e"> </span>required</span></div><div class="t m0 x9 hb y12b ff5 fs7 fcb sc0 ls0 ws0">namespace<span class="_ _e"> </span><span class="fc3">fs<span class="_ _6"> </span><span class="ff9 fc7">=<span class="_"> </span></span>std<span class="ff9 fc7">::</span>filesystem<span class="ff9 fc0">;</span></span></div><div class="t m0 x9 hb y12c ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>path<span class="_"> </span>p1<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"/usr/lib/sendmail.cf"</span></span>;<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>portable<span class="_ _6"> </span>format</span></div><div class="t m0 x9 hb y12d ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>path<span class="_"> </span>p2<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"C:<span class="ff5 fcc">\\</span>users<span class="ff5 fcc">\\</span>abcdef<span class="ff5 fcc">\\</span>"</span></span>;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>native<span class="_ _6"> </span>format</span></div><div class="t m0 x9 hb y12e ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"p1:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>p1;<span class="_ _68"> </span><span class="ffd fc6">//<span class="_ _e"> </span>/usr/lib/sendmail.cf</span></div><div class="t m0 x9 hb y12f ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"p2:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>p2;<span class="_ _68"> </span><span class="ffd fc6">//<span class="_ _e"> </span>C:\users\abcdef\</span></div><div class="t m0 x9 hb y130 ff9 fs7 fc0 sc0 ls0 ws0">out<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="fc9">"p3:<span class="_"> </span>"<span class="_"> </span></span><<<span class="_"> </span></span>p2<span class="_"> </span><span class="fc7">+<span class="_"> </span><span class="fc9">"xyz<span class="ff5 fcc">\\</span>"</span></span>;<span class="_ _1b"> </span><span class="ffd fc6">//<span class="_ _e"> </span>C:\users\abcdef\xyz\</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">82/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf5c" class="pf w0 h0" data-page-no="5c"><div class="pc pc5c w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff5 fs2 fc1 sc0 ls0 ws0">path<span class="_ _6"> </span><span class="ff1">Metho<span class="_ _a"></span>ds</span></div><div class="t m0 x1 ha y60 ff4 fs6 fc0 sc0 ls0 ws0">Decomp<span class="_ _a"></span>osition<span class="_ _9"> </span>(memb<span class="_ _a"></span>er)<span class="_ _c"> </span>metho<span class="_ _a"></span>ds:</div><div class="t m0 xa h5 y163 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>ro<span class="_ _a"></span>ot-name<span class="_ _c"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>path</span></div><div class="t m0 xb h10 y308 ff7 fs3 fca sc0 ls0 ws0">root_name<span class="fc0">()</span></div><div class="t m0 xa h5 y309 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>path<span class="_ _c"> </span>relative<span class="_ _4"> </span>to<span class="_ _c"> </span>the<span class="_ _c"> </span>ro<span class="_ _a"></span>ot<span class="_ _9"> </span>path</span></div><div class="t m0 xb h10 y30a ff7 fs3 fca sc0 ls0 ws0">relative_path<span class="fc0">()</span></div><div class="t m0 xa h5 y30b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>the<span class="_ _c"> </span>path<span class="_ _4"> </span>of<span class="_ _c"> </span>the<span class="_ _c"> </span>pa<span class="_ _3"></span>rent<span class="_ _c"> </span>path</span></div><div class="t m0 xb h10 y30c ff7 fs3 fca sc0 ls0 ws0">parent_path<span class="fc0">()</span></div><div class="t m0 xa h5 y30d ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>the<span class="_ _c"> </span>filename<span class="_ _4"> </span>path<span class="_ _c"> </span>comp<span class="_ _a"></span>onent</span></div><div class="t m0 xb h10 y30e ff7 fs3 fca sc0 ls0 ws0">filename<span class="fc0">()</span></div><div class="t m0 xa h5 y30f ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>the<span class="_ _c"> </span>file<span class="_ _4"> </span>extension<span class="_ _c"> </span>path<span class="_ _c"> </span>comp<span class="_ _a"></span>onent</span></div><div class="t m0 xb h10 y310 ff7 fs3 fca sc0 ls0 ws0">extension<span class="fc0">()</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">83/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf5d" class="pf w0 h0" data-page-no="5d"><div class="pc pc5d w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Filesystem<span class="_ _6"> </span>Metho<span class="_ _a"></span>ds<span class="_ _6"> </span>-<span class="_ _6"> </span>Query</div><div class="t m0 xa h5 y311 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>a<span class="_ _4"> </span>file<span class="_ _c"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>path<span class="_ _c"> </span>exists</span></div><div class="t m0 xb h10 y312 ff7 fs3 fca sc0 ls0 ws0">exists<span class="fc0">(path)</span></div><div class="t m0 xa h5 y313 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Return<span class="_ _c"> </span>the<span class="_ _c"> </span>file<span class="_ _4"> </span>size</span></div><div class="t m0 xb h10 y314 ff7 fs3 fca sc0 ls0 ws0">file_size<span class="fc0">(path)</span></div><div class="t m0 xa h5 y315 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>a<span class="_ _4"> </span>file<span class="_ _c"> </span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>directo<span class="_ _3"></span>ry</span></div><div class="t m0 xb h10 y316 ff7 fs3 fca sc0 ls0 ws0">is_directory<span class="fc0">(path)</span></div><div class="t m0 xa h5 y317 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>a<span class="_ _4"> </span>file<span class="_ _c"> </span>(o<span class="_ _3"></span>r<span class="_ _c"> </span>directo<span class="_ _3"></span>ry)<span class="_ _c"> </span>is<span class="_ _c"> </span>empty</span></div><div class="t m0 xb h10 y318 ff7 fs3 fca sc0 ls0 ws0">is_empty<span class="fc0">(path)</span></div><div class="t m0 xa h5 y319 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Check<span class="_ _c"> </span>if<span class="_ _c"> </span>a<span class="_ _4"> </span>file<span class="_ _c"> </span>is<span class="_ _c"> </span>a<span class="_ _c"> </span>regula<span class="_ _3"></span>r<span class="_ _c"> </span>file</span></div><div class="t m0 xb h10 y31a ff7 fs3 fca sc0 ls0 ws0">is_regular_file<span class="fc0">(path)</span></div><div class="t m0 xa h5 y31b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Returns<span class="_ _c"> </span>the<span class="_ _c"> </span>current<span class="_ _4"> </span>path</span></div><div class="t m0 xb h10 y31c ff7 fs3 fca sc0 ls0 ws0">current_path<span class="fc0">()</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">84/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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||
<div id="pf5e" class="pf w0 h0" data-page-no="5e"><div class="pc pc5e w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Directo<span class="_ _3"></span>ry<span class="_ _6"> </span>Iterato<span class="_ _3"></span>rs</div><div class="t m0 x1 ha y1dc ff4 fs6 fc0 sc0 ls0 ws0">Iterate<span class="_ _c"> </span>over<span class="_ _c"> </span>files<span class="_ _c"> </span>of<span class="_ _c"> </span>a<span class="_ _c"> </span>directo<span class="_ _3"></span>ry<span class="_ _c"> </span>(recursively/non-recursively)</div><div class="t m0 x9 hb y31d ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><filesystem></span></div><div class="t m0 x9 hb y31e ff5 fs7 fcb sc0 ls0 ws0">namespace<span class="_ _e"> </span><span class="fc3">fs<span class="_ _6"> </span><span class="ff9 fc7">=<span class="_"> </span></span>std<span class="ff9 fc7">::</span>filesystem<span class="ff9 fc0">;</span></span></div><div class="t m0 x9 hb y31f ff5 fs7 fcb sc0 ls0 ws0">for<span class="ff9 fc0">(</span>auto<span class="ff9 fc7">&<span class="_"> </span><span class="fc0">path<span class="_"> </span></span>:<span class="_"> </span><span class="fc0">fs</span>::<span class="fc0">directory_iterator(<span class="fc9">"/usr/tmp/"</span>))</span></span></div><div class="t m0 x6 hb y320 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>path<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">\n</span>'</span></span>;</div><div class="t m0 x9 hb y321 ff5 fs7 fcb sc0 ls0 ws0">for<span class="ff9 fc0">(</span>auto<span class="ff9 fc7">&<span class="_"> </span><span class="fc0">path<span class="_"> </span></span>:<span class="_"> </span><span class="fc0">fs</span>::<span class="fc0">recursive_directory_iterator(<span class="fc9">"/usr/tmp/"</span>))</span></span></div><div class="t m0 x6 hb y322 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>path<span class="_"> </span><span class="fc7"><<<span class="_"> </span><span class="ff21 fc9">'<span class="ff9">\n</span>'</span></span>;</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">85/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<div id="pf5f" class="pf w0 h0" data-page-no="5f"><div class="pc pc5f w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Filesystem<span class="_ _6"> </span>Metho<span class="_ _a"></span>ds<span class="_ _6"> </span>-<span class="_ _6"> </span>Mo<span class="_ _a"></span>dify</div><div class="t m0 xa h5 y311 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Copy<span class="_ _9"> </span>files<span class="_ _c"> </span>or<span class="_ _c"> </span>directo<span class="_ _3"></span>ries</span></div><div class="t m0 xb h10 y312 ff7 fs3 fca sc0 ls0 ws0">copy<span class="fc0">(path1,<span class="_"> </span>path2)</span></div><div class="t m0 xa h5 y313 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Copy<span class="_ _9"> </span>files</span></div><div class="t m0 xb h10 y314 ff7 fs3 fca sc0 ls0 ws0">copy_file<span class="fc0">(src_path,<span class="_"> </span>src_path,<span class="_"> </span>[fs::copy_options::recursive])</span></div><div class="t m0 xa h5 y315 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Create<span class="_ _c"> </span>new<span class="_ _c"> </span>directory</span></div><div class="t m0 xb h10 y316 ff7 fs3 fca sc0 ls0 ws0">create_directory<span class="fc0">(path)</span></div><div class="t m0 xa h5 y317 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Remove<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _4"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>empt<span class="_ _3"></span>y<span class="_ _c"> </span>directory</span></div><div class="t m0 xb h10 y318 ff7 fs3 fca sc0 ls0 ws0">remove<span class="fc0">(path)</span></div><div class="t m0 xa h5 y319 ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Remove<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _4"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>directo<span class="_ _3"></span>ry<span class="_ _c"> </span>and<span class="_ _c"> </span>all<span class="_ _c"> </span>its<span class="_ _c"> </span>contents,<span class="_ _c"> </span>recursively</span></div><div class="t m0 xb h10 y31a ff7 fs3 fca sc0 ls0 ws0">remove_all<span class="fc0">(path)</span></div><div class="t m0 xa h5 y31b ff8 fs3 fc0 sc0 ls0 ws0">•<span class="_ _8"> </span><span class="ff1">Rename<span class="_ _c"> </span>a<span class="_ _c"> </span>file<span class="_ _4"> </span>o<span class="_ _3"></span>r<span class="_ _c"> </span>directo<span class="_ _3"></span>ry</span></div><div class="t m0 xb h10 y31c ff7 fs3 fca sc0 ls0 ws0">rename<span class="fc0">(old_path,<span class="_"> </span>new_path)</span></div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">86/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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<div id="pf60" class="pf w0 h0" data-page-no="60"><div class="pc pc60 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="data:image/png;base64,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"/><div class="t m0 x4 h6 y6 ff1 fs2 fc1 sc0 ls0 ws0">Examples</div><div class="t m0 x9 hb yfe ffd fs7 fc5 sc0 ls0 ws0">#<span class="_ _18"> </span>include<span class="_ _10"> </span><span class="fc6"><filesystem><span class="_ _10"> </span>//<span class="_ _e"> </span>required</span></div><div class="t m0 x9 hb yff ff5 fs7 fcb sc0 ls0 ws0">namespace<span class="_ _e"> </span><span class="fc3">fs<span class="_ _6"> </span><span class="ff9 fc7">=<span class="_"> </span></span>std<span class="ff9 fc7">::</span>filesystem<span class="ff9 fc0">;</span></span></div><div class="t m0 x9 hb y100 ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>path<span class="_"> </span>p1<span class="_"> </span><span class="fc7">=<span class="_"> </span><span class="fc9">"/usr/tmp/my_file.txt"</span></span>;</div><div class="t m0 x9 hb y323 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>fs<span class="fc7">::</span>exists();<span class="_ _69"> </span><span class="ffd fc6">//<span class="_ _e"> </span>true</span></div><div class="t m0 x9 hb y102 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>p1.parent_path(p1);<span class="_ _22"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"/usr/tmp/"</span></div><div class="t m0 x9 hb y103 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>p1.filename();<span class="_ _68"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"my_file.txt"</span></div><div class="t m0 x9 hb y104 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>p1.stem();<span class="_ _6a"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"my_file"</span></div><div class="t m0 x9 hb y105 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>p1.extension();<span class="_ _21"> </span><span class="ffd fc6">//<span class="_ _e"> </span>"txt"</span></div><div class="t m0 x9 hb y106 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>fs<span class="fc7">::</span>is_directory(p1);<span class="_ _20"> </span><span class="ffd fc6">//<span class="_ _e"> </span>false</span></div><div class="t m0 x9 hb y324 ff9 fs7 fc0 sc0 ls0 ws0">cout<span class="_"> </span><span class="fc7"><<<span class="_"> </span></span>fs<span class="fc7">::</span>is_regular_file(p1);<span class="_"> </span><span class="ffd fc6">//<span class="_ _e"> </span>true</span></div><div class="t m0 x9 hb y108 ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>create_directory(<span class="fc9">"/my_dir/"</span>);</div><div class="t m0 x9 hb y325 ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>copy(p1.parent_path(),<span class="_"> </span><span class="fc9">"/my_dir/"</span>,<span class="_"> </span>fs<span class="fc7">::</span>copy_options<span class="fc7">::</span>recursive);</div><div class="t m0 x9 hb y109 ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>copy_file(p1,<span class="_"> </span><span class="fc9">"/my_dir/my_file2.txt"</span>);</div><div class="t m0 x9 hb y10a ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>remove(p1);</div><div class="t m0 x9 hb y10b ff9 fs7 fc0 sc0 ls0 ws0">fs<span class="fc7">::</span>remove_all(p1.parent_path());</div><div class="t m0 x10 h9 y10 ff6 fs5 fc0 sc0 ls0 ws0">87/87</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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