978 lines
1.2 MiB
978 lines
1.2 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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/*
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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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(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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<div id="outline">
|
||
<ul><li><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",28.346,255.118,null]'>Books and References</a></li><li><a class="l" href="#pfa" data-dest-detail='[10,"XYZ",28.346,255.118,null]'>Basic Concepts</a><ul><li><a class="l" href="#pfb" data-dest-detail='[11,"XYZ",28.346,228.21,null]'>Abstraction, Interface, and Module</a></li><li><a class="l" href="#pfd" data-dest-detail='[13,"XYZ",28.346,163.47,null]'>Class Invariant</a></li></ul></li><li><a class="l" href="#pfe" data-dest-detail='[14,"XYZ",28.346,255.118,null]'>Software Design Principles</a><ul><li><a class="l" href="#pff" data-dest-detail='[15,"XYZ",28.346,221.35,null]'>Separation of Concern</a></li><li><a class="l" href="#pf11" data-dest-detail='[17,"XYZ",28.346,214.279,null]'>Low Coupling, High Cohesion</a></li><li><a class="l" href="#pf12" data-dest-detail='[18,"XYZ",28.346,228.21,null]'>Encapsulation and Information Hiding</a></li><li><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",28.346,255.118,null]'>Design by Contract</a></li><li><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",28.346,165.892,null]'>Problem Decomposition</a></li><li><a class="l" href="#pf14" data-dest-detail='[20,"XYZ",28.346,152.483,null]'>Code reuse</a></li></ul></li><li><a class="l" href="#pf15" data-dest-detail='[21,"XYZ",28.346,255.118,null]'>Software Complexity</a><ul><li><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",28.346,255.118,null]'>Software Entropy</a></li><li><a class="l" href="#pf16" data-dest-detail='[22,"XYZ",28.346,168.367,null]'>Technical Debt</a></li></ul></li><li><a class="l" href="#pf18" data-dest-detail='[24,"XYZ",28.346,255.118,null]'>The SOLID Design Principles</a></li><li><a class="l" href="#pf19" data-dest-detail='[25,"XYZ",28.346,255.118,null]'>Class Design</a><ul><li><a class="l" href="#pf1a" data-dest-detail='[26,"XYZ",28.346,213.432,null]'>The Class Interface Principle</a></li><li><a class="l" href="#pf1b" data-dest-detail='[27,"XYZ",28.346,219.457,null]'>Member Functions vs. Free Functions</a></li><li><a class="l" href="#pf22" data-dest-detail='[34,"XYZ",28.346,228.21,null]'>Namespace Functions vs. Class static Methods</a></li></ul></li><li><a class="l" href="#pf23" data-dest-detail='[35,"XYZ",28.346,255.118,null]'>BLAS GEMM Case Study</a></li><li><a class="l" href="#pf29" data-dest-detail='[41,"XYZ",28.346,255.118,null]'>Owning Objects and Views</a></li><li><a class="l" href="#pf2d" data-dest-detail='[45,"XYZ",28.346,255.118,null]'>Value vs. Reference Semantic</a></li><li><a class="l" href="#pf32" data-dest-detail='[50,"XYZ",28.346,255.118,null]'>Global Variables</a></li></ul></div>
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</div>
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<div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h4 y8 ff1 fs4 fc2 sc0 ls0 ws0">1<span class="_ _a"> </span><span class="fs2 fc0">Bo<span class="_ _b"></span>oks<span class="_ _5"> </span>and<span class="_ _c"> </span>References</span></div><div class="t m0 x5 h4 y9 ff1 fs4 fc2 sc0 ls0 ws0">2<span class="_ _a"> </span><span class="fs2 fc0">Basic<span class="_ _c"> </span>Concepts</span></div><div class="t m0 x6 h6 ya ff4 fs4 fc0 sc0 ls0 ws0">Abstraction,<span class="_ _d"> </span>Interface,<span class="_ _d"> </span>and<span class="_ _d"> </span>Mo<span class="_ _b"></span>dule</div><div class="t m0 x6 h6 yb ff4 fs4 fc0 sc0 ls0 ws0">Class<span class="_ _d"> </span>Inva<span class="_ _6"></span>riant</div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">1/40</div><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:169.946000px;width:147.230000px;height:13.782000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pfa" data-dest-detail='[10,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:110.884000px;width:102.300000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pfb" data-dest-detail='[11,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:93.225000px;width:147.613000px;height:10.157000px;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:75.268000px;width:62.820000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h4 yd ff1 fs4 fc2 sc0 ls0 ws0">3<span class="_ _a"> </span><span class="fs2 fc0">Soft<span class="_ _6"></span>w<span class="_ _6"></span>a<span class="_ _e"></span>re<span class="_ _c"> </span>Design<span class="_ _5"> </span>Principles</span></div><div class="t m0 x6 h6 ye ff4 fs4 fc0 sc0 ls0 ws0">Sepa<span class="_ _6"></span>ration<span class="_ _d"> </span>of<span class="_ _d"> </span>Concern</div><div class="t m0 x6 h6 yf ff4 fs4 fc0 sc0 ls0 ws0">Lo<span class="_ _6"></span>w<span class="_ _d"> </span>Coupling,<span class="_ _d"> </span>High<span class="_ _d"> </span>Cohesion</div><div class="t m0 x6 h6 y10 ff4 fs4 fc0 sc0 ls0 ws0">Encapsulation<span class="_ _d"> </span>and<span class="_ _d"> </span>Info<span class="_ _6"></span>rmation<span class="_ _d"> </span>Hiding</div><div class="t m0 x6 h6 y11 ff4 fs4 fc0 sc0 ls0 ws0">Design<span class="_ _d"> </span>b<span class="_ _6"></span>y<span class="_ _d"> </span>Contract</div><div class="t m0 x6 h6 y12 ff4 fs4 fc0 sc0 ls0 ws0">Problem<span class="_ _d"> </span>Decomp<span class="_ _b"></span>osition</div><div class="t m0 x6 h6 y13 ff4 fs4 fc0 sc0 ls0 ws0">Co<span class="_ _b"></span>de<span class="_ _d"> </span>reuse</div><div class="t m0 x5 h4 y14 ff1 fs4 fc2 sc0 ls0 ws0">4<span class="_ _a"> </span><span class="fs2 fc0">Soft<span class="_ _e"></span>wa<span class="_ _e"></span>re<span class="_ _c"> </span>Complexity</span></div><div class="t m0 x6 h6 y15 ff4 fs4 fc0 sc0 ls0 ws0">Soft<span class="_ _6"></span>wa<span class="_ _e"></span>re<span class="_ _d"> </span>Entropy</div><div class="t m0 x6 h6 y16 ff4 fs4 fc0 sc0 ls0 ws0">T<span class="_ _e"></span>echnical<span class="_ _d"> </span>Debt</div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">2/40</div><a class="l" href="#pfe" data-dest-detail='[14,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:199.353000px;width:176.660000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pff" data-dest-detail='[15,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:181.003000px;width:94.479000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf11" data-dest-detail='[17,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:161.800000px;width:124.976000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf12" data-dest-detail='[18,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:142.597000px;width:159.706000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:123.394000px;width:82.357000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf13" data-dest-detail='[19,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:104.191000px;width:101.591000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf14" data-dest-detail='[20,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:86.925000px;width:47.738000px;height:8.911000px;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:56.076000px;width:136.926000px;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:37.725000px;width:73.611000px;height:10.849000px;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:20.460000px;width:64.757000px;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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h4 y17 ff1 fs4 fc2 sc0 ls0 ws0">5<span class="_ _a"> </span><span class="fs2 fc0">The<span class="_ _c"> </span>SOLID<span class="_ _5"> </span>Design<span class="_ _c"> </span>Principles</span></div><div class="t m0 x5 h4 y18 ff1 fs4 fc2 sc0 ls0 ws0">6<span class="_ _a"> </span><span class="fs2 fc0">Class<span class="_ _c"> </span>Design</span></div><div class="t m0 x6 h6 y19 ff4 fs4 fc0 sc0 ls0 ws0">The<span class="_ _d"> </span>Class<span class="_ _d"> </span>Interface<span class="_ _d"> </span>Principle</div><div class="t m0 x6 h6 y1a ff4 fs4 fc0 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _d"> </span>F<span class="_ _e"></span>unctions<span class="_ _d"> </span>vs.<span class="_ _f"> </span>F<span class="_ _6"></span>ree<span class="_ _d"> </span>Functions</div><div class="t m0 x6 h6 y1b ff4 fs4 fc0 sc0 ls0 ws0">Namespace<span class="_ _d"> </span>F<span class="_ _6"></span>unctions<span class="_ _d"> </span>vs.<span class="_ _9"> </span>Class<span class="_ _d"> </span><span class="ff6">static<span class="_ _d"> </span></span>Metho<span class="_ _b"></span>ds</div><div class="t m0 x5 h4 y1c ff1 fs4 fc2 sc0 ls0 ws0">7<span class="_ _a"> </span><span class="fs2 fc0">BLAS<span class="_ _c"> </span>GEMM<span class="_ _5"> </span>Case<span class="_ _c"> </span>Study</span></div><div class="t m0 x5 h4 y1d ff1 fs4 fc2 sc0 ls0 ws0">8<span class="_ _a"> </span><span class="fs2 fc0">Owning<span class="_ _c"> </span>Objects<span class="_ _5"> </span>and<span class="_ _c"> </span>Views</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">3/40</div><a class="l" href="#pf18" data-dest-detail='[24,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:194.239000px;width:195.609000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf19" data-dest-detail='[25,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:160.433000px;width:85.017000px;height:14.745000px;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:142.083000px;width:121.572000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf1b" data-dest-detail='[27,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:49.490000px;bottom:124.817000px;width:159.624000px;height:8.911000px;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:103.677000px;width:206.436000px;height:10.848000px;background-color:rgba(255,255,255,0.000001);"></div></a><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:69.870000px;width:172.524000px;height:14.745000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf29" data-dest-detail='[41,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:36.064000px;width:179.131000px;height:14.745000px;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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>able<span class="_ _9"> </span>of<span class="_ _9"> </span>Contents</div><div class="t m0 x5 h4 y1e ff1 fs4 fc2 sc0 ls0 ws0">9<span class="_ _a"> </span><span class="fs2 fc0">V<span class="_ _e"></span>alue<span class="_ _5"> </span>vs.<span class="_ _10"> </span>Reference<span class="_ _c"> </span>Semantic</span></div><div class="t m0 x8 h4 y1f ff1 fs4 fc2 sc0 ls0 ws0">10<span class="_ _c"> </span><span class="fs2 fc0">Global<span class="_ _c"> </span>V<span class="_ _6"></span>a<span class="_ _e"></span>riables</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">4/40</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:153.104000px;width:199.024000px;height:13.782000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf32" data-dest-detail='[50,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:47.076000px;bottom:78.162000px;width:107.387000px;height:13.782000px;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 x9 h2 y20 ff1 fs0 fc0 sc0 ls0 ws0">Bo<span class="_ _0"></span>oks<span class="_ _1"> </span>and</div><div class="t m0 x9 h2 y21 ff1 fs0 fc0 sc0 ls0 ws0">References</div><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:154.437000px;width:241.993000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf6" data-dest-detail='[6,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:120.066000px;width:124.123000px;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="pf7" class="pf w0 h0" data-page-no="7"><div class="pc pc7 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Bo<span class="_ _b"></span>oks<span class="_ _11"> </span>1/3</div><div class="t m0 xa h9 y22 ff1 fs6 fc0 sc0 ls0 ws0">Clean<span class="_ _d"> </span>Code:<span class="_ _9"> </span>A<span class="_ _d"> </span>Handb<span class="_ _b"></span>o<span class="_ _b"></span>ok<span class="_ _d"> </span>of<span class="_ _d"> </span>Agile</div><div class="t m0 xb h9 y23 ff1 fs6 fc0 sc0 ls0 ws0">Soft<span class="_ _6"></span>wa<span class="_ _e"></span>re<span class="_ _d"> </span>Craftsmanship</div><div class="t m0 xc h9 y24 ff7 fs6 fc0 sc0 ls0 ws0">Rob<span class="_ _b"></span>ert<span class="_ _12"> </span>C.<span class="_ _12"> </span>Martin<span class="ff8">,<span class="_ _12"> </span>2008</span></div><div class="t m0 xd h9 y22 ff1 fs6 fc0 sc0 ls0 ws0">Clean<span class="_ _d"> </span>Architecture</div><div class="t m0 xe h9 y23 ff7 fs6 fc0 sc0 ls0 ws0">Rob<span class="_ _b"></span>ert<span class="_ _12"> </span>C.<span class="_ _12"> </span>Martin<span class="ff8">,<span class="_ _12"> </span>2017</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">5/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Bo<span class="_ _b"></span>oks<span class="_ _11"> </span>2/3</div><div class="t m0 xf h9 y25 ff1 fs6 fc0 sc0 ls0 ws0">La<span class="_ _6"></span>rge-Scale<span class="_ _d"> </span>C++<span class="_ _d"> </span>V<span class="_ _6"></span>olume<span class="_ _d"> </span>I:<span class="_ _d"> </span>Pro<span class="_ _b"></span>cess<span class="_ _12"> </span>and</div><div class="t m0 x10 h9 y26 ff1 fs6 fc0 sc0 ls0 ws0">Architecture</div><div class="t m0 x11 h9 y27 ff7 fs6 fc0 sc0 ls0 ws0">J.<span class="_ _12"> </span>Lakos<span class="ff8">,<span class="_ _12"> </span>2021</span></div><div class="t m0 xe h9 y28 ff1 fs6 fc0 sc0 ls0 ws0">C++<span class="_ _d"> </span>Soft<span class="_ _6"></span>w<span class="_ _6"></span>are<span class="_ _12"> </span>Design</div><div class="t m0 x12 h9 y29 ff7 fs6 fc0 sc0 ls0 ws0">K.<span class="_ _12"> </span>Iglb<span class="_ _b"></span>erger<span class="ff8">,<span class="_ _12"> </span>2022</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">6/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Bo<span class="_ _b"></span>oks<span class="_ _11"> </span>3/3</div><div class="t m0 x13 h9 y2a ff1 fs6 fc0 sc0 ls0 ws0">Co<span class="_ _b"></span>de<span class="_ _12"> </span>Simplicity</div><div class="t m0 x14 h9 y2b ff7 fs6 fc0 sc0 ls0 ws0">M.<span class="_ _12"> </span>Kanat-Alexander<span class="ff8">,<span class="_ _d"> </span>2012</span></div><div class="t m0 x15 h9 y2a ff1 fs6 fc0 sc0 ls0 ws0">A<span class="_ _d"> </span>Philosophy<span class="_ _d"> </span>of<span class="_ _d"> </span>Soft<span class="_ _6"></span>w<span class="_ _6"></span>a<span class="_ _6"></span>re</div><div class="t m0 x16 h9 y2b ff1 fs6 fc0 sc0 ls0 ws0">Design<span class="_ _12"> </span><span class="ff8">(2nd)</span></div><div class="t m0 x17 h9 y2c ff7 fs6 fc0 sc0 ls0 ws0">J.<span class="_ _12"> </span>Ousterhout<span class="ff8">,<span class="_ _d"> </span>2021</span></div><div class="t m0 x18 h9 y2d ff1 fs6 fc0 sc0 ls0 ws0">Soft<span class="_ _6"></span>wa<span class="_ _e"></span>re<span class="_ _d"> </span>Engineering<span class="_ _d"> </span>at</div><div class="t m0 x19 h9 y2e ff1 fs6 fc0 sc0 ls0 ws0">Go<span class="_ _b"></span>ogle:<span class="_ _9"> </span>Lessons<span class="_ _12"> </span>Learned<span class="_ _d"> </span>from</div><div class="t m0 x1a h9 y2f ff1 fs6 fc0 sc0 ls0 ws0">Programming<span class="_ _d"> </span>over<span class="_ _d"> </span>Time</div><div class="t m0 x1b h9 y30 ff7 fs6 fc0 sc0 ls0 ws0">T.<span class="_ _12"> </span>Winters<span class="ff8">,<span class="_ _d"> </span>2020</span></div><div class="t m0 x1c ha y31 ff9 fs6 fc0 sc0 ls0 ws0">(download<span class="_ _f"> </span>link)</div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">7/40</div><a class="l" href="https://abseil.io/resources/swe-book"><div class="d m1" style="border-style:none;position:absolute;left:321.666000px;bottom:15.565000px;width:72.602000px;height:8.967000px;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="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 x9 h2 y32 ff1 fs0 fc0 sc0 ls0 ws0">Basic<span class="_ _1"> </span>Concepts</div><a class="l" href="#pfa" data-dest-detail='[10,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:175.302000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Abstraction,<span class="_ _9"> </span>Interface,<span class="_ _9"> </span>Mo<span class="_ _b"></span>dule,<span class="_ _9"> </span>and<span class="_ _9"> </span>Class<span class="_ _9"> </span>Inva<span class="_ _e"></span>riant</div><div class="t m0 x1 hb y33 ff4 fs7 fc0 sc0 ls0 ws0">An<span class="_ _13"> </span><span class="ff1">abstraction<span class="_ _13"> </span></span>is<span class="_ _13"> </span>the<span class="_ _13"> </span>p<span class="_ _6"></span>ro<span class="_ _b"></span>cess<span class="_ _d"> </span>of<span class="_ _13"> </span><span class="ffa">generalizing<span class="_ _13"> </span>relevant<span class="_ _13"> </span>information<span class="_ _d"> </span>and<span class="_ _13"> </span>b<span class="_ _b"></span>ehavior</span></div><div class="t m0 x1 hb y34 ff4 fs7 fc0 sc0 ls0 ws0">(semantics)<span class="_ _13"> </span>from<span class="_ _13"> </span>concrete<span class="_ _13"> </span>details</div><div class="t m0 x1 hb y35 ff4 fs7 fc0 sc0 ls0 ws0">An<span class="_ _13"> </span><span class="ff1">interface<span class="_ _13"> </span></span>is<span class="_ _13"> </span>a<span class="_ _13"> </span>communication<span class="_ _13"> </span>p<span class="_ _b"></span>oint<span class="_ _d"> </span>that<span class="_ _13"> </span>allows<span class="_ _d"> </span>iterations<span class="_ _13"> </span>b<span class="_ _b"></span>et<span class="_ _6"></span>ween<span class="_ _d"> </span>users<span class="_ _13"> </span>and<span class="_ _13"> </span>the</div><div class="t m0 x1 hb y36 ff4 fs7 fc0 sc0 ls0 ws0">system.<span class="_ _f"> </span>It<span class="_ _13"> </span>aims<span class="_ _13"> </span>to<span class="_ _13"> </span><span class="ffa">standardize<span class="_ _7"> </span></span>and<span class="_ _13"> </span><span class="ffa">simplify<span class="_ _c"> </span></span>the<span class="_ _d"> </span>use<span class="_ _13"> </span>of<span class="_ _13"> </span>programs</div><div class="t m0 x1 hb y37 ff4 fs7 fc0 sc0 ls0 ws0">A<span class="_ _13"> </span><span class="ff1">mo<span class="_ _b"></span>dule<span class="_ _d"> </span></span>is<span class="_ _13"> </span>a<span class="_ _13"> </span>softw<span class="_ _6"></span>a<span class="_ _6"></span>re<span class="_ _13"> </span>comp<span class="_ _b"></span>onent<span class="_ _d"> </span>that<span class="_ _13"> </span>provides<span class="_ _d"> </span>a<span class="_ _13"> </span>sp<span class="_ _b"></span>ecific<span class="_ _13"> </span>functionalit<span class="_ _6"></span>y<span class="_ _8"></span>.<span class="_ _c"> </span>Common</div><div class="t m0 x1 hb y38 ff4 fs7 fc0 sc0 ls0 ws0">examples<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>classes,<span class="_ _13"> </span>files,<span class="_ _13"> </span>and<span class="_ _13"> </span>lib<span class="_ _6"></span>ra<span class="_ _6"></span>ries</div><div class="t m0 x1d hb y39 ffa fs7 fc0 sc0 ls0 ws0">“In<span class="_ _13"> </span>mo<span class="_ _b"></span>dula<span class="_ _6"></span>r<span class="_ _13"> </span>programming,<span class="_ _13"> </span>each<span class="_ _13"> </span><span class="ffb">mo<span class="_ _b"></span>dule<span class="_ _13"> </span></span>provides<span class="_ _13"> </span>an<span class="_ _13"> </span><span class="ffb">abstraction<span class="_ _7"> </span></span>in<span class="_ _13"> </span>form</div><div class="t m0 x6 hb y3a ffa fs7 fc0 sc0 ls0 ws0">of<span class="_ _13"> </span>its<span class="_ _13"> </span><span class="ffb">interface</span>”</div><div class="t m0 x15 hb y3b ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">John<span class="_ _7"> </span>Ousterhout</span>,<span class="_ _13"> </span><span class="ffa">A<span class="_ _13"> </span>Philosophy<span class="_ _13"> </span>of<span class="_ _13"> </span>Softw<span class="_ _e"></span>are<span class="_ _d"> </span>Design</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">8/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Quotes</div><div class="t m0 x1d hb y3c ffa fs7 fc0 sc0 ls0 ws0">“Most<span class="_ _f"> </span>mo<span class="_ _b"></span>dules<span class="_ _f"> </span>have<span class="_ _c"> </span>mo<span class="_ _6"></span>re<span class="_ _f"> </span>users<span class="_ _f"> </span>than<span class="_ _c"> </span>developers,<span class="_"> </span>so<span class="_ _f"> </span>it<span class="_ _f"> </span>is<span class="_ _c"> </span>better<span class="_ _c"> </span>fo<span class="_ _6"></span>r<span class="_ _f"> </span>the</div><div class="t m0 x6 hb y3d ffa fs7 fc0 sc0 ls0 ws0">develop<span class="_ _b"></span>ers<span class="_ _d"> </span>to<span class="_ _13"> </span>suffer<span class="_ _13"> </span>than<span class="_ _13"> </span>the<span class="_ _13"> </span>users...<span class="_ _c"> </span><span class="ffb">it<span class="_ _7"> </span>is<span class="_ _7"> </span>more<span class="_ _13"> </span>imp<span class="_ _b"></span>o<span class="_ _6"></span>rtant<span class="_ _7"> </span>for<span class="_ _13"> </span>a<span class="_ _9"> </span>module<span class="_ _7"> </span>to</span></div><div class="t m0 x6 hb y3e ffb fs7 fc0 sc0 ls0 ws0">have<span class="_ _7"> </span>a<span class="_ _7"> </span>simple<span class="_ _9"> </span>interface<span class="_ _13"> </span>than<span class="_ _9"> </span>a<span class="_ _13"> </span>simple<span class="_ _9"> </span>implementation<span class="ffa">”</span></div><div class="t m0 x1e hb y3f ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">John<span class="_ _7"> </span>Ousterhout</span>,<span class="_ _13"> </span><span class="ffa">A<span class="_ _13"> </span>Philosophy<span class="_ _13"> </span>of<span class="_ _13"> </span>Softw<span class="_ _e"></span>are<span class="_ _d"> </span>Design</span></div><div class="t m0 x1d hb y40 ffa fs7 fc0 sc0 ls0 ws0">“The<span class="_ _7"> </span>key<span class="_ _13"> </span>to<span class="_ _7"> </span><span class="ffb">designing<span class="_ _9"> </span>abstractions<span class="_ _9"> </span></span>is<span class="_ _13"> </span>to<span class="_ _7"> </span>understand<span class="_ _9"> </span>what<span class="_ _13"> </span>is<span class="_ _9"> </span>important,</div><div class="t m0 x6 hb y41 ffa fs7 fc0 sc0 ls0 ws0">and<span class="_ _7"> </span>to<span class="_ _9"> </span>lo<span class="_ _b"></span>ok<span class="_ _7"> </span>for<span class="_ _13"> </span>designs<span class="_ _9"> </span>that<span class="_ _7"> </span><span class="ffb">minimize<span class="_ _f"> </span>the<span class="_ _f"> </span>amount<span class="_ _9"> </span>of<span class="_ _f"> </span>info<span class="_ _6"></span>rmation<span class="_ _9"> </span>that<span class="_ _f"> </span>is</span></div><div class="t m0 x6 hb y42 ffb fs7 fc0 sc0 ls0 ws0">imp<span class="_ _b"></span>o<span class="_ _e"></span>rtant<span class="ffa">”</span></div><div class="t m0 x15 hb y43 ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">John<span class="_ _7"> </span>Ousterhout</span>,<span class="_ _13"> </span><span class="ffa">A<span class="_ _13"> </span>Philosophy<span class="_ _13"> </span>of<span class="_ _13"> </span>Softw<span class="_ _e"></span>are<span class="_ _d"> </span>Design</span></div><div class="t m0 x7 h8 yc ff5 fs5 fc0 sc0 ls0 ws0">9/40</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,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIjklEQVR42u3ZsU3DQBTHYV/kJ8rMgKg8AYqQixSR2Iwl2MWFKdjADRtQucxrnI4S0eUhf98G97/mp7v29PzSAQBAGV+fHwcrAABQjUgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAOBHy0wrAABQR0R4SQUAoByRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASDUBAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAAFBJv5+jDuPZfde3zJMRAICWmVYAAKCOiPDdDwBAOSIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAgD/rTQAA3NEwnvd58GWe3P4vWmZaAQCAOiLCdz8AAOWIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARKoJAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIA8E/169ujFajv+/JuBADYieH02trxYVuvXbdtm0EAACjhBqOmIADEFMUlAAAAAElFTkSuQmCC"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Class<span class="_ _9"> </span>Inva<span class="_ _6"></span>riant</div><div class="t m0 x1 hb y44 ff4 fs7 fc0 sc0 ls0 ws0">A<span class="_ _13"> </span><span class="ff1">class<span class="_ _7"> </span>invariant<span class="_ _d"> </span></span>(or<span class="_ _d"> </span><span class="ff1">type<span class="_ _9"> </span>inva<span class="_ _e"></span>riant<span class="ff4">)<span class="_ _13"> </span>is<span class="_ _13"> </span>a<span class="_ _13"> </span><span class="ffa">property<span class="_ _f"> </span></span>of<span class="_ _13"> </span>an<span class="_ _13"> </span>object<span class="_ _13"> </span>which<span class="_ _13"> </span>remains</span></span></div><div class="t m0 x1 hb y45 ff4 fs7 fc0 sc0 ls0 ws0">unchanged<span class="_ _13"> </span>after<span class="_ _13"> </span>op<span class="_ _b"></span>erations<span class="_ _d"> </span>or<span class="_ _d"> </span>transformations.<span class="_ _f"> </span>In<span class="_ _13"> </span>other<span class="_ _13"> </span>w<span class="_ _6"></span>o<span class="_ _6"></span>rds,<span class="_ _13"> </span><span class="ffa">a<span class="_ _13"> </span>set<span class="_ _13"> </span>of<span class="_ _13"> </span>conditions<span class="_ _d"> </span>that</span></div><div class="t m0 x1 hb y46 ffa fs7 fc0 sc0 ls0 ws0">hold<span class="_ _13"> </span>throughout<span class="_ _13"> </span>its<span class="_ _13"> </span>life<span class="ff4">.<span class="_ _f"> </span>A<span class="_ _13"> </span></span>class<span class="_ _13"> </span>invariant<span class="_ _9"> </span><span class="ff4">constrains<span class="_ _13"> </span>the<span class="_ _13"> </span>object<span class="_ _13"> </span>state<span class="_ _13"> </span>and<span class="_ _13"> </span>describ<span class="_ _b"></span>es<span class="_ _d"> </span>its</span></div><div class="t m0 x1 hb y47 ff4 fs7 fc0 sc0 ls0 ws0">b<span class="_ _b"></span>ehavio<span class="_ _e"></span>r</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">10/40</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="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Sepa<span class="_ _6"></span>ration<span class="_ _9"> </span>of<span class="_ _9"> </span>Concern<span class="_ _14"> </span>1/2</div><div class="t m0 x1 hb y48 ff1 fs7 fc0 sc0 ls0 ws0">“Sepa<span class="_ _6"></span>ration<span class="_ _7"> </span>of<span class="_ _7"> </span>concern”<span class="_ _13"> </span><span class="ff4">suggests<span class="_ _13"> </span>to<span class="_ _13"> </span>organize<span class="_ _d"> </span>softw<span class="_ _6"></span>a<span class="_ _6"></span>re<span class="_ _13"> </span>in<span class="_ _13"> </span><span class="ff1">mo<span class="_ _b"></span>dules</span>,<span class="_ _d"> </span>each<span class="_ _13"> </span>of<span class="_ _13"> </span>which</span></div><div class="t m0 x1 hb y49 ff4 fs7 fc0 sc0 ls0 ws0">address<span class="_ _13"> </span>a<span class="_ _13"> </span>sepa<span class="_ _6"></span>rate<span class="_ _13"> </span>“concern”<span class="_ _13"> </span>o<span class="_ _6"></span>r<span class="_ _13"> </span>functionalit<span class="_ _6"></span>y</div><div class="t m0 x1 hb y4a ff4 fs7 fc0 sc0 ls0 ws0">Benefits<span class="_ _13"> </span>of<span class="_ _13"> </span>a<span class="_ _13"> </span>mo<span class="_ _b"></span>dula<span class="_ _e"></span>r<span class="_ _13"> </span>design<span class="_ _13"> </span>includes</div><div class="t m0 x20 h6 y4b ffc fs4 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ffa">Decrease<span class="_ _d"> </span>cognitive<span class="_ _d"> </span>load<span class="ff4">.<span class="_ _9"> </span>Small<span class="_ _d"> </span>consistent<span class="_ _d"> </span>parts<span class="_ _12"> </span>are<span class="_ _d"> </span>easier<span class="_ _d"> </span>to<span class="_ _d"> </span>understand<span class="_ _d"> </span>than<span class="_ _d"> </span>the<span class="_ _d"> </span>whole</span></span></div><div class="t m0 x6 h6 y4c ff4 fs4 fc0 sc0 ls0 ws0">system<span class="_ _d"> </span>in<span class="_ _d"> </span>its<span class="_ _d"> </span>entiret<span class="_ _6"></span>y</div><div class="t m0 x20 h6 y4d ffc fs4 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ffa">Help<span class="_ _d"> </span>co<span class="_ _b"></span>de<span class="_ _d"> </span>maintainabilit<span class="_ _6"></span>y<span class="ff4">.<span class="_ _9"> </span>F<span class="_ _6"></span>ew<span class="_ _6"></span>er<span class="_ _d"> </span>or<span class="_ _12"> </span>no<span class="_ _d"> </span>dep<span class="_ _b"></span>endencies<span class="_ _d"> </span>allow<span class="_ _12"> </span>to<span class="_ _d"> </span>fo<span class="_ _b"></span>cus<span class="_ _d"> </span>on<span class="_ _d"> </span>smaller<span class="_ _d"> </span>pieces<span class="_ _d"> </span>of</span></span></div><div class="t m0 x6 h6 y4e ff4 fs4 fc0 sc0 ls0 ws0">co<span class="_ _b"></span>de,<span class="_ _d"> </span>isolate<span class="_ _d"> </span>potential<span class="_ _d"> </span>bugs,<span class="_ _d"> </span>and<span class="_ _d"> </span>minimize<span class="_ _d"> </span>the<span class="_ _d"> </span>impact<span class="_ _d"> </span>of<span class="_ _d"> </span>changes</div><div class="t m0 x20 h6 y4f ffc fs4 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ffa">Indep<span class="_ _b"></span>endent<span class="_ _d"> </span>development</span></div><div class="t m0 x1 hb y50 ff4 fs7 fc0 sc0 ls0 ws0">Mo<span class="_ _b"></span>dula<span class="_ _e"></span>r<span class="_ _13"> </span>design<span class="_ _13"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>achieved<span class="_ _13"> </span>b<span class="_ _b"></span>oth<span class="_ _13"> </span>with<span class="_ _13"> </span><span class="ffa">vertical<span class="_ _9"> </span></span>and<span class="_ _13"> </span><span class="ffa">horizontal<span class="_ _9"> </span></span>organization,<span class="_ _d"> </span>i.e.</div><div class="t m0 x1 hb y51 ff4 fs7 fc0 sc0 ls0 ws0">la<span class="_ _6"></span>y<span class="_ _6"></span>ers<span class="_ _13"> </span>of<span class="_ _13"> </span>abstractions<span class="_ _13"> </span>o<span class="_ _6"></span>r<span class="_ _13"> </span>functionalities<span class="_ _13"> </span>at<span class="_ _13"> </span>the<span class="_ _13"> </span>same<span class="_ _13"> </span>level</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">11/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Sepa<span class="_ _6"></span>ration<span class="_ _9"> </span>of<span class="_ _9"> </span>Concern<span class="_ _14"> </span>2/2</div><div class="t m0 x1d hb y52 ffa fs7 fc0 sc0 ls0 ws0">“The<span class="_ _13"> </span>most<span class="_ _13"> </span>fundamental<span class="_ _13"> </span>p<span class="_ _6"></span>roblem<span class="_ _13"> </span>in<span class="_ _13"> </span>computer<span class="_ _13"> </span>science<span class="_ _d"> </span>is<span class="_ _13"> </span><span class="ffb">problem<span class="_ _7"> </span>decom-</span></div><div class="t m0 x6 hb y53 ffb fs7 fc0 sc0 ls0 ws0">p<span class="_ _b"></span>osition<span class="ffa">:<span class="_ _9"> </span>how<span class="_ _12"> </span>to<span class="_ _d"> </span>tak<span class="_ _6"></span>e<span class="_ _d"> </span>a<span class="_ _12"> </span>complex<span class="_ _d"> </span>p<span class="_ _6"></span>roblem<span class="_ _d"> </span>and<span class="_ _12"> </span>divide<span class="_ _d"> </span>it<span class="_ _d"> </span>up<span class="_ _12"> </span>into<span class="_ _d"> </span>pieces<span class="_ _d"> </span>that<span class="_ _12"> </span>can</span></div><div class="t m0 x6 hb y54 ffa fs7 fc0 sc0 ls0 ws0">b<span class="_ _b"></span>e<span class="_ _d"> </span>solved<span class="_ _13"> </span>indep<span class="_ _b"></span>endently”</div><div class="t m0 x1e hb y55 ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">John<span class="_ _7"> </span>Ousterhout</span>,<span class="_ _13"> </span><span class="ffa">A<span class="_ _13"> </span>Philosophy<span class="_ _13"> </span>of<span class="_ _13"> </span>Softw<span class="_ _e"></span>are<span class="_ _d"> </span>Design</span></div><div class="t m0 x1d hb y56 ffa fs7 fc0 sc0 ls0 ws0">“W<span class="_ _6"></span>e<span class="_ _d"> </span>w<span class="_ _e"></span>ant<span class="_ _d"> </span>to<span class="_ _d"> </span>design<span class="_ _12"> </span>comp<span class="_ _b"></span>onents<span class="_ _d"> </span>that<span class="_ _12"> </span>are<span class="_ _12"> </span>self-contained:<span class="_ _f"> </span>indep<span class="_ _b"></span>endent,<span class="_ _d"> </span>and</div><div class="t m0 x6 hb y57 ffa fs7 fc0 sc0 ls0 ws0">with<span class="_ _13"> </span>a<span class="_ _13"> </span>single,<span class="_ _13"> </span>w<span class="_ _6"></span>ell-defined<span class="_ _13"> </span>purp<span class="_ _b"></span>ose”</div><div class="t m0 x21 hb y58 ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">Andy<span class="_ _7"> </span>Hunt</span>,<span class="_ _13"> </span><span class="ffa">The<span class="_ _13"> </span>Pragmatic<span class="_ _13"> </span>Programmer</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">12/40</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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Lo<span class="_ _6"></span>w<span class="_ _9"> </span>Coupling,<span class="_ _9"> </span>High<span class="_ _9"> </span>Cohesion</div><div class="t m0 x1 hb y59 ff1 fs7 fc0 sc0 ls0 ws0">Cohesion<span class="_ _13"> </span><span class="ffa">refers<span class="_ _13"> </span>to<span class="_ _13"> </span>the<span class="_ _13"> </span>degree<span class="_ _13"> </span>to<span class="_ _13"> </span>which<span class="_ _13"> </span>the<span class="_ _13"> </span>elements<span class="_ _13"> </span>inside<span class="_ _13"> </span>a<span class="_ _13"> </span>mo<span class="_ _b"></span>dule<span class="_ _d"> </span>b<span class="_ _b"></span>elong<span class="_ _13"> </span>together<span class="ff4">.</span></span></div><div class="t m0 x1 hb y5a ff4 fs7 fc0 sc0 ls0 ws0">In<span class="_ _13"> </span>other<span class="_ _13"> </span>w<span class="_ _6"></span>o<span class="_ _6"></span>rds,<span class="_ _13"> </span>the<span class="_ _13"> </span>co<span class="_ _b"></span>de<span class="_ _d"> </span>that<span class="_ _13"> </span>changes<span class="_ _13"> </span>together,<span class="_ _13"> </span>stays<span class="_ _d"> </span>together.</div><div class="t m0 x1 h6 y5b ff4 fs4 fc0 sc0 ls0 ws0">See<span class="_ _d"> </span>also<span class="_ _d"> </span>the<span class="_ _d"> </span><span class="ffa">Single<span class="_ _d"> </span>Resp<span class="_ _b"></span>onsibilit<span class="_ _e"></span>y<span class="_ _d"> </span>Principle</span></div><div class="t m0 x1 hb y5c ff1 fs7 fc0 sc0 ls0 ws0">Coupling<span class="_ _13"> </span><span class="ff4">refers<span class="_ _13"> </span>to<span class="_ _13"> </span>the<span class="_ _13"> </span>degree<span class="_ _13"> </span>of<span class="_ _13"> </span>interdep<span class="_ _b"></span>endence<span class="_ _13"> </span>b<span class="_ _b"></span>et<span class="_ _e"></span>ween<span class="_ _d"> </span>softw<span class="_ _6"></span>a<span class="_ _6"></span>re<span class="_ _13"> </span>mo<span class="_ _b"></span>dules.<span class="_ _f"> </span>In<span class="_ _13"> </span>other</span></div><div class="t m0 x1 hb y5d ff4 fs7 fc0 sc0 ls0 ws0">w<span class="_ _6"></span>o<span class="_ _6"></span>rds,<span class="_ _13"> </span>ho<span class="_ _6"></span>w<span class="_ _13"> </span>a<span class="_ _13"> </span>mo<span class="_ _b"></span>dification<span class="_ _d"> </span>in<span class="_ _13"> </span>one<span class="_ _13"> </span>mo<span class="_ _b"></span>dule<span class="_ _13"> </span>affects<span class="_ _13"> </span>changes<span class="_ _13"> </span>in<span class="_ _13"> </span>other<span class="_ _13"> </span>mo<span class="_ _b"></span>dules</div><div class="t m0 x1 hb y5e ff4 fs7 fc0 sc0 ls0 ws0">The<span class="_ _13"> </span><span class="ff1">Lo<span class="_ _6"></span>w<span class="_ _7"> </span>Coupling,<span class="_ _7"> </span>High<span class="_ _9"> </span>Cohesion<span class="_ _d"> </span><span class="ff4">principle<span class="_ _d"> </span>suggests<span class="_ _13"> </span>to<span class="_ _13"> </span>minimize<span class="_ _13"> </span>dep<span class="_ _b"></span>endencies<span class="_ _13"> </span>and</span></span></div><div class="t m0 x1 hb y5f ff4 fs7 fc0 sc0 ls0 ws0">k<span class="_ _6"></span>eep<span class="_ _13"> </span>together<span class="_ _13"> </span>co<span class="_ _b"></span>de<span class="_ _d"> </span>that<span class="_ _13"> </span>is<span class="_ _13"> </span>part<span class="_ _d"> </span>of<span class="_ _13"> </span>the<span class="_ _13"> </span>same<span class="_ _13"> </span>functionality</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">13/40</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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Encapsulation<span class="_ _9"> </span>and<span class="_ _9"> </span>Info<span class="_ _6"></span>rmation<span class="_ _9"> </span>Hiding</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">Encapsulation<span class="_ _13"> </span><span class="ffa">refers<span class="_ _13"> </span>to<span class="_ _13"> </span>grouping<span class="_ _13"> </span>together<span class="_ _13"> </span>related<span class="_ _13"> </span>data<span class="_ _13"> </span>and<span class="_ _13"> </span>metho<span class="_ _b"></span>ds<span class="_ _d"> </span>that<span class="_ _13"> </span>op<span class="_ _b"></span>erate<span class="_ _13"> </span>on</span></div><div class="t m0 x1 hb y61 ffa fs7 fc0 sc0 ls0 ws0">the<span class="_ _13"> </span>data<span class="ff4">.<span class="_ _f"> </span>It<span class="_ _13"> </span>allows<span class="_ _d"> </span>to<span class="_ _13"> </span>present<span class="_ _d"> </span>a<span class="_ _13"> </span>consistent<span class="_ _13"> </span>interface<span class="_ _13"> </span>that<span class="_ _13"> </span>is<span class="_ _13"> </span>indep<span class="_ _b"></span>endent<span class="_ _13"> </span>of<span class="_ _13"> </span>its<span class="_ _13"> </span>internal</span></div><div class="t m0 x1 hb y62 ff4 fs7 fc0 sc0 ls0 ws0">implementation</div><div class="t m0 x1 hb y63 ffa fs7 fc0 sc0 ls0 ws0">Encapsulation<span class="_ _13"> </span><span class="ff4">is<span class="_ _13"> </span>usually<span class="_ _13"> </span>asso<span class="_ _b"></span>ciated<span class="_ _13"> </span>with<span class="_ _13"> </span>the<span class="_ _13"> </span>concept<span class="_ _13"> </span>of<span class="_ _13"> </span><span class="ff1">info<span class="_ _6"></span>rmation<span class="_ _7"> </span>hiding<span class="_ _13"> </span><span class="ff4">that</span></span></span></div><div class="t m0 x1 hb y64 ff4 fs7 fc0 sc0 ls0 ws0">p<span class="_ _6"></span>revents</div><div class="t m0 x20 hb y65 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Exp<span class="_ _b"></span>osing<span class="_ _d"> </span>implementation<span class="_ _13"> </span>details</span></div><div class="t m0 x20 hb y66 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Violating<span class="_ _13"> </span><span class="ffa">class<span class="_ _13"> </span>inva<span class="_ _6"></span>riant<span class="_ _9"> </span><span class="ff4">maintained<span class="_ _13"> </span>by<span class="_ _d"> </span>the<span class="_ _13"> </span>metho<span class="_ _b"></span>ds</span></span></span></div><div class="t m0 x1 hb y67 ff4 fs7 fc0 sc0 ls0 ws0">It<span class="_ _13"> </span>also<span class="_ _13"> </span>p<span class="_ _6"></span>rovides<span class="_ _13"> </span>freedom<span class="_ _13"> </span>fo<span class="_ _6"></span>r<span class="_ _13"> </span>the<span class="_ _13"> </span>internal<span class="_ _13"> </span>implementations</div><div class="t m0 x1 hb y68 ff4 fs7 fc0 sc0 ls0 ws0">Encapsulation<span class="_ _13"> </span>and<span class="_ _13"> </span>info<span class="_ _6"></span>rmation<span class="_ _13"> </span>hiding<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>common<span class="_ _13"> </span>pa<span class="_ _6"></span>radigms<span class="_ _13"> </span>to<span class="_ _13"> </span>achieve<span class="_ _13"> </span><span class="ffa">soft<span class="_ _6"></span>wa<span class="_ _e"></span>re</span></div><div class="t m0 x1 hb y69 ffa fs7 fc0 sc0 ls0 ws0">mo<span class="_ _b"></span>dula<span class="_ _e"></span>rity</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">14/40</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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Problem<span class="_ _9"> </span>Decomp<span class="_ _b"></span>osition</div><div class="t m0 x1d hb y6a ffa fs7 fc0 sc0 ls0 ws0">“Generic<span class="_"> </span>p<span class="_ _e"></span>rogramming<span class="_"> </span>dep<span class="_ _b"></span>ends<span class="_ _c"> </span>on<span class="_"> </span>the<span class="_ _c"> </span>decomp<span class="_ _b"></span>osition<span class="_ _c"> </span>of<span class="_"> </span>p<span class="_ _6"></span>rograms<span class="_"> </span>into</div><div class="t m0 x6 hb y6b ffa fs7 fc0 sc0 ls0 ws0">comp<span class="_ _b"></span>onents<span class="_ _12"> </span>which<span class="_ _d"> </span>ma<span class="_ _6"></span>y<span class="_ _d"> </span>be<span class="_ _d"> </span>develop<span class="_ _b"></span>ed<span class="_ _12"> </span>separately<span class="_ _12"> </span>and<span class="_ _d"> </span>combined<span class="_ _d"> </span>a<span class="_ _e"></span>rbitrarily<span class="_ _8"></span>,<span class="_ _d"> </span>sub-</div><div class="t m0 x6 hb y6c ffa fs7 fc0 sc0 ls0 ws0">ject<span class="_ _13"> </span>only<span class="_ _13"> </span>to<span class="_ _13"> </span>w<span class="_ _6"></span>ell-defined<span class="_ _13"> </span>interfaces”</div><div class="t m0 x16 hb y6d ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">James<span class="_ _7"> </span>C.<span class="_ _7"> </span>Dehnert<span class="_ _9"> </span>and<span class="_ _13"> </span>Alexander<span class="_ _9"> </span>Stepanov</span></div><div class="t m0 x22 hb y6e ffa fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>undamentals<span class="_ _13"> </span>of<span class="_ _13"> </span>Generic<span class="_ _13"> </span>Programming<span class="_ _7"> </span><span class="ffd fs8"></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">15/40</div><a class="l" href="http://stepanovpapers.com/DeSt98.pdf"><div class="d m1" style="border-style:none;position:absolute;left:415.193000px;bottom:92.271000px;width:11.000000px;height:11.690000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Co<span class="_ _b"></span>de<span class="_ _9"> </span>reuse</div><div class="t m0 x1d hb y6f ffa fs7 fc0 sc0 ls0 ws0">“Co<span class="_ _b"></span>de<span class="_ _d"> </span>reuse<span class="_ _13"> </span>is<span class="_ _13"> </span>the<span class="_ _13"> </span>Holy<span class="_ _13"> </span>Grail<span class="_ _13"> </span>of<span class="_ _13"> </span>Softw<span class="_ _e"></span>are<span class="_ _13"> </span>Engineering"</div><div class="t m0 x23 hb y70 ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">Douglas<span class="_ _7"> </span>Cro<span class="_ _b"></span>ckfo<span class="_ _6"></span>rd<span class="ff4">,<span class="_ _13"> </span><span class="ffa">Develop<span class="_ _b"></span>er<span class="_ _d"> </span>of<span class="_ _13"> </span>the<span class="_ _13"> </span>JavaScript<span class="_ _13"> </span>language</span></span></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">16/40</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 x9 h2 y32 ff1 fs0 fc0 sc0 ls0 ws0">Soft<span class="_ _e"></span>w<span class="_ _e"></span>a<span class="_ _8"></span>re<span class="_ _1"> </span>Complexit<span class="_ _e"></span>y</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:235.129000px;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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>echnical<span class="_ _9"> </span>Debt</div><div class="t m0 x1d hb y71 ffa fs7 fc0 sc0 ls0 ws0">“T<span class="_ _8"></span>echnical<span class="_ _f"> </span>debt<span class="_ _f"> </span>is<span class="_ _f"> </span>most<span class="_ _9"> </span>often<span class="_ _f"> </span>caused<span class="_ _f"> </span>not<span class="_ _f"> </span>so<span class="_ _f"> </span>much<span class="_ _9"> </span>b<span class="_ _b"></span>e<span class="_ _f"> </span>develop<span class="_ _b"></span>ers<span class="_ _9"> </span>taking</div><div class="t m0 x6 hb y72 ffa fs7 fc0 sc0 ls0 ws0">sho<span class="_ _6"></span>rtcuts,<span class="_ _12"> </span>but<span class="_ _12"> </span>rather<span class="_ _12"> </span>b<span class="_ _e"></span>y<span class="_ _12"> </span>management<span class="_ _12"> </span>who<span class="_ _15"> </span>pushes<span class="_ _15"> </span>velo<span class="_ _b"></span>cit<span class="_ _6"></span>y<span class="_ _15"> </span>over<span class="_ _12"> </span>quality<span class="_ _8"></span>,<span class="_ _12"> </span>features</div><div class="t m0 x6 hb y73 ffa fs7 fc0 sc0 ls0 ws0">over<span class="_ _13"> </span>simplicit<span class="_ _6"></span>y”</div><div class="t m0 x24 hb y74 ff4 fs7 fc0 sc0 ls0 ws0">–<span class="_ _13"> </span><span class="ff1">Grady<span class="_ _7"> </span>Bo<span class="_ _b"></span>o<span class="_ _b"></span>ch</span>,<span class="_ _d"> </span><span class="ffa">UML/Design<span class="_ _13"> </span>Pattern</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">17/40</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="" 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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">T<span class="_ _8"></span>echnical<span class="_ _9"> </span>Debt</div><div class="t m0 x1d hc y75 ff3 fs2 fc0 sc0 ls0 ws0">“Simplicit<span class="_ _6"></span>y<span class="_ _9"> </span>is<span class="_ _c"> </span>the<span class="_ _9"> </span>ultimate<span class="_ _f"> </span>sophistication”</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">18/40</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="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 x9 h2 y20 ff1 fs0 fc0 sc0 ls0 ws0">The<span class="_ _1"> </span>SOLID<span class="_ _1"> </span>Design</div><div class="t m0 x9 h2 y21 ff1 fs0 fc0 sc0 ls0 ws0">Principles</div><a class="l" href="#pf18" data-dest-detail='[24,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:149.618000px;width:241.993000px;height:24.025000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf18" data-dest-detail='[24,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:115.247000px;width:110.697000px;height:24.025000px;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="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 x9 h2 y32 ff1 fs0 fc0 sc0 ls0 ws0">Class<span class="_ _1"> </span>Design</div><a class="l" href="#pf19" data-dest-detail='[25,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:132.432000px;width:145.441000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">The<span class="_ _9"> </span>Class<span class="_ _9"> </span>Interface<span class="_ _9"> </span>Principle</div><div class="t m0 x1 hb y76 ff1 fs7 fc0 sc0 ls0 ws0">The<span class="_ _7"> </span>Interface<span class="_ _7"> </span>Principle</div><div class="t m0 x1 hb y77 ff4 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>o<span class="_ _6"></span>r<span class="_ _13"> </span>a<span class="_ _13"> </span>class<span class="_ _16"> </span><span class="ff6">X<span class="_ _12"> </span></span>,<span class="_ _13"> </span>all<span class="_ _13"> </span>functions,<span class="_ _13"> </span>including<span class="_ _13"> </span>free<span class="_ _13"> </span>functions,<span class="_ _13"> </span>that<span class="_ _13"> </span>b<span class="_ _b"></span>oth</div><div class="t m0 x20 hb y78 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">“mention”<span class="_ _16"> </span><span class="ff6">X<span class="_ _12"> </span></span>,<span class="_ _13"> </span>and</span></div><div class="t m0 x20 hb y79 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">a<span class="_ _6"></span>re<span class="_ _13"> </span>“supplied<span class="_ _13"> </span>with”<span class="_ _16"> </span><span class="ff6">X</span></span></div><div class="t m0 x1 hb y7a ff4 fs7 fc0 sc0 ls0 ws0">a<span class="_ _6"></span>re<span class="_ _13"> </span>logically<span class="_ _13"> </span>pa<span class="_ _6"></span>rt<span class="_ _13"> </span>of<span class="_ _16"> </span><span class="ff6">X<span class="_ _12"> </span></span>,<span class="_ _13"> </span>b<span class="_ _b"></span>ecause<span class="_ _13"> </span>they<span class="_ _13"> </span>fo<span class="_ _6"></span>rm<span class="_ _13"> </span>pa<span class="_ _6"></span>rt<span class="_ _13"> </span>of<span class="_ _13"> </span>the<span class="_ _13"> </span>interface<span class="_ _13"> </span>of<span class="_ _16"> </span><span class="ff6">X</span></div><div class="t m0 x1 hb y7b ff4 fs7 fc0 sc0 ls0 ws0">If<span class="_ _13"> </span>y<span class="_ _6"></span>ou<span class="_ _13"> </span>put<span class="_ _13"> </span>a<span class="_ _13"> </span>class<span class="_ _13"> </span>into<span class="_ _13"> </span>a<span class="_ _13"> </span>namespace,<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>sure<span class="_ _13"> </span>to<span class="_ _13"> </span>put<span class="_ _13"> </span>all<span class="_ _13"> </span>help<span class="_ _b"></span>er<span class="_ _13"> </span>functions<span class="_ _13"> </span>and<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs</div><div class="t m0 x1 hb y7c ff4 fs7 fc0 sc0 ls0 ws0">into<span class="_ _13"> </span>the<span class="_ _13"> </span>same<span class="_ _13"> </span>namespace<span class="_ _13"> </span>to<span class="_ _b"></span>o</div><div class="t m0 x25 ha y7d ff9 fs6 fc3 sc0 ls0 ws0">Using<span class="_ _f"> </span>namespaces<span class="_ _f"> </span>effectively</div><div class="t m0 x1 ha y7e ff9 fs6 fc3 sc0 ls0 ws0">What’s<span class="_ _f"> </span>In<span class="_ _f"> </span>a<span class="_ _f"> </span>Class?<span class="_ _17"> </span>-<span class="_ _f"> </span>The<span class="_ _f"> </span>Interface<span class="_ _f"> </span>Principle</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">19/40</div><a class="l" href="https://biowpn.github.io/bioweapon/2024/06/05/using-namespaces-effectively.html"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:40.564000px;width:133.798000px;height:11.656000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="http://gotw.ca/publications/mill02.htm"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:26.173000px;width:213.823000px;height:11.154000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Why<span class="_ _9"> </span>Prefer<span class="_ _9"> </span>Non-Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions</div><div class="t m0 x1 hb y7f ff1 fs7 fc0 sc0 ls0 ws0">Encapsulation<span class="ff4">:<span class="_ _f"> </span><span class="ffa fc4">Non-memb<span class="_ _b"></span>er<span class="_ _13"> </span>functions<span class="_ _13"> </span></span>gua<span class="_ _6"></span>rantee<span class="_ _13"> </span>to<span class="_ _13"> </span>preserve<span class="_ _d"> </span>the<span class="_ _13"> </span>class<span class="_ _13"> </span>invariant<span class="_ _d"> </span>as</span></div><div class="t m0 x1 hb y80 ff4 fs7 fc0 sc0 ls0 ws0">they<span class="_ _13"> </span>can<span class="_ _13"> </span>only<span class="_ _13"> </span>call<span class="_ _13"> </span>public<span class="_ _13"> </span>metho<span class="_ _b"></span>ds,<span class="_ _d"> </span>protecting<span class="_ _d"> </span>the<span class="_ _13"> </span>class<span class="_ _13"> </span>state<span class="_ _13"> </span>by<span class="_ _d"> </span>definition.</div><div class="t m0 x1 hb y81 ffa fs7 fc4 sc0 ls0 ws0">Non-memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions<span class="_ _13"> </span><span class="ff4 fc0">helps<span class="_ _13"> </span>to<span class="_ _13"> </span>keep<span class="_ _d"> </span>the<span class="_ _13"> </span>class<span class="_ _13"> </span>smaller<span class="_ _13"> </span>and<span class="_ _13"> </span>simpler<span class="_ _13"> </span><span class="ffe">→<span class="_ _13"> </span></span>easier<span class="_ _13"> </span>to</span></div><div class="t m0 x1 hb y82 ff4 fs7 fc0 sc0 ls0 ws0">maintain<span class="_ _13"> </span>and<span class="_ _13"> </span>safer</div><div class="t m0 x1 hb y83 ffa fs7 fc5 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions<span class="_ _13"> </span><span class="ff4 fc0">induce<span class="_ _13"> </span><span class="ff1">coupling<span class="_ _7"> </span></span>fo<span class="_ _6"></span>rcing<span class="_ _13"> </span>the<span class="_ _13"> </span>dep<span class="_ _b"></span>endency<span class="_ _d"> </span>from<span class="_ _13"> </span>the<span class="_ _16"> </span><span class="ff6">this<span class="_ _16"> </span></span>p<span class="_ _b"></span>ointer.</span></div><div class="t m0 x1 hb y84 ffa fs7 fc5 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions<span class="_ _13"> </span><span class="ff4 fc0">can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>split<span class="_ _13"> </span>o<span class="_ _6"></span>r<span class="_ _13"> </span>o<span class="_ _6"></span>rganized<span class="_ _13"> </span>in<span class="_ _13"> </span>several<span class="_ _13"> </span>other<span class="_ _13"> </span>functions,<span class="_ _13"> </span>wo<span class="_ _e"></span>rsening<span class="_ _13"> </span>the</span></div><div class="t m0 x1 hb y85 ff4 fs7 fc0 sc0 ls0 ws0">p<span class="_ _6"></span>roblem.<span class="_ _f"> </span>Such<span class="_ _13"> </span>metho<span class="_ _b"></span>ds<span class="_ _13"> </span>are<span class="_ _d"> </span>forced<span class="_ _d"> </span>to<span class="_ _13"> </span>p<span class="_ _b"></span>erfo<span class="_ _6"></span>rm<span class="_ _13"> </span>actions<span class="_ _13"> </span>that<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>only<span class="_ _13"> </span>sp<span class="_ _b"></span>ecific<span class="_ _d"> </span>to<span class="_ _13"> </span>such</div><div class="t m0 x1 hb y86 ff4 fs7 fc0 sc0 ls0 ws0">class.<span class="_ _f"> </span>On<span class="_ _13"> </span>the<span class="_ _13"> </span>contrary<span class="_ _8"></span>,<span class="_ _13"> </span>non-memb<span class="_ _b"></span>er<span class="_ _d"> </span>function<span class="_ _13"> </span>favor<span class="_ _d"> </span>generic<span class="_ _13"> </span>co<span class="_ _b"></span>de<span class="_ _13"> </span>and<span class="_ _13"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>p<span class="_ _b"></span>otentially</div><div class="t m0 x1 hb y87 ff4 fs7 fc0 sc0 ls0 ws0">reused<span class="_ _13"> </span>across<span class="_ _13"> </span>the<span class="_ _13"> </span>p<span class="_ _6"></span>rogram</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">20/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Why<span class="_ _9"> </span>Prefer<span class="_ _9"> </span>Non-Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions</div><div class="t m0 x1 hb y82 ff1 fs7 fc0 sc0 ls0 ws0">Cohesion/Single<span class="_ _7"> </span>Resp<span class="_ _b"></span>onsibilit<span class="_ _6"></span>y<span class="_ _7"> </span>Principle<span class="_ _13"> </span><span class="ffa fc5">Memb<span class="_ _b"></span>er<span class="_ _13"> </span>functions<span class="_ _13"> </span></span><span class="ff4">can<span class="_ _13"> </span>perform<span class="_ _13"> </span>actions</span></div><div class="t m0 x1 hb y88 ff4 fs7 fc0 sc0 ls0 ws0">that<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>not<span class="_ _13"> </span>strictly<span class="_ _13"> </span>required<span class="_ _13"> </span>b<span class="_ _6"></span>y<span class="_ _13"> </span>the<span class="_ _13"> </span>class,<span class="_ _13"> </span>bloating<span class="_ _13"> </span>its<span class="_ _13"> </span>semantics</div><div class="t m0 x1 hb y83 ff1 fs7 fc0 sc0 ls0 ws0">Op<span class="_ _b"></span>en-Close<span class="_ _7"> </span>Principle<span class="_ _13"> </span><span class="ffa fc4">Non-memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions<span class="_ _13"> </span></span><span class="ff4">improve<span class="_ _d"> </span>the<span class="_ _13"> </span>flexibility<span class="_ _d"> </span>and<span class="_ _13"> </span>extensibility</span></div><div class="t m0 x1 hb y89 ff4 fs7 fc0 sc0 ls0 ws0">of<span class="_ _d"> </span>classes<span class="_ _d"> </span>by<span class="_ _d"> </span>adding<span class="_ _d"> </span>functionalities<span class="_ _13"> </span>without<span class="_ _d"> </span>altering<span class="_ _d"> </span>the<span class="_ _13"> </span>o<span class="_ _6"></span>riginal<span class="_ _d"> </span>class<span class="_ _13"> </span>co<span class="_ _b"></span>de<span class="_ _d"> </span>and<span class="_ _d"> </span>b<span class="_ _b"></span>ehavio<span class="_ _6"></span>r</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">21/40</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="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions<span class="_ _9"> </span>vs.<span class="_ _18"> </span>F<span class="_ _6"></span>ree<span class="_ _9"> </span>F<span class="_ _6"></span>unctions</div><div class="t m0 x1d hb y8a ffa fs7 fc0 sc0 ls0 ws0">“If<span class="_ _13"> </span>y<span class="_ _6"></span>ou’re<span class="_ _13"> </span>writing<span class="_ _13"> </span>a<span class="_ _13"> </span>function<span class="_ _13"> </span>that<span class="_ _13"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>implemented<span class="_ _13"> </span>as<span class="_ _13"> </span>either<span class="_ _13"> </span>a<span class="_ _13"> </span>memb<span class="_ _b"></span>er</div><div class="t m0 x6 hb y8b ffa fs7 fc0 sc0 ls0 ws0">o<span class="_ _6"></span>r<span class="_ _9"> </span>as<span class="_ _7"> </span>a<span class="_ _9"> </span>non-friend<span class="_ _7"> </span>non-memb<span class="_ _b"></span>er,<span class="_ _9"> </span>y<span class="_ _e"></span>ou<span class="_ _9"> </span>should<span class="_ _9"> </span>p<span class="_ _e"></span>refer<span class="_ _9"> </span>to<span class="_ _7"> </span>implement<span class="_ _9"> </span>it<span class="_ _7"> </span>as<span class="_ _9"> </span>a<span class="_ _7"> </span>non-</div><div class="t m0 x6 hb y8c ffa fs7 fc0 sc0 ls0 ws0">memb<span class="_ _b"></span>er<span class="_ _15"> </span>function.<span class="_ _9"> </span>That<span class="_ _15"> </span>decision<span class="_ _15"> </span>increases<span class="_ _15"> </span>class<span class="_ _15"> </span>encapsulation.<span class="_ _f"> </span>When<span class="_ _15"> </span>you<span class="_ _15"> </span>think</div><div class="t m0 x6 hb y8d ffa fs7 fc0 sc0 ls0 ws0">encapsulation,<span class="_ _13"> </span>y<span class="_ _6"></span>ou<span class="_ _13"> </span>should<span class="_ _13"> </span>think<span class="_ _13"> </span>non-memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions”</div><div class="t m0 x26 hb y8e ff1 fs7 fc0 sc0 ls0 ws0">–<span class="_ _7"> </span>Scott<span class="_ _7"> </span>Meyers<span class="ff4">,<span class="_ _d"> </span><span class="ffa">Effective<span class="_ _13"> </span>C++</span></span></div><div class="t m0 x20 h9 y8f fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">https://workat.tech/machine-<span class="_ _b"></span>coding/tutorial/</span></div><div class="t m0 x6 ha y90 ff9 fs6 fc3 sc0 ls0 ws0">design-<span class="_ _b"></span>good-<span class="_ _b"></span>functions-<span class="_ _b"></span>classes-<span class="_ _b"></span>clean-<span class="_ _0"></span>code-<span class="_ _b"></span>86h68awn9c7q</div><div class="t m0 x20 h9 y91 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">Prefer<span class="_ _f"> </span>nonmember,<span class="_ _f"> </span>nonfriends?</span></div><div class="t m0 x20 h9 y92 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">Monoliths<span class="_ _f"> </span>"Unstrung",</span></div><div class="t m0 x20 h9 y93 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">How<span class="_ _f"> </span>Non-Member<span class="_ _f"> </span>Functions<span class="_ _f"> </span>Improve<span class="_ _f"> </span>Encapsulation</span></div><div class="t m0 x20 h9 y94 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">C++<span class="_ _f"> </span>Core<span class="_ _f"> </span>Guidelines<span class="_ _f"> </span>-<span class="_ _f"> </span>C.4:<span class="_ _17"> </span>Make<span class="_ _f"> </span>a<span class="_ _f"> </span>function<span class="_ _f"> </span>a<span class="_ _c"> </span>member<span class="_ _9"> </span>only<span class="_ _f"> </span>if<span class="_ _f"> </span>it<span class="_ _c"> </span>needs<span class="_ _9"> </span>direct</span></div><div class="t m0 x6 ha y95 ff9 fs6 fc3 sc0 ls0 ws0">access<span class="_ _f"> </span>to<span class="_ _f"> </span>the<span class="_ _f"> </span>representation<span class="_ _f"> </span>of<span class="_ _f"> </span>a<span class="_ _c"> </span>class</div><div class="t m0 x20 h9 y96 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">Functions<span class="_ _f"> </span>Want<span class="_ _f"> </span>To<span class="_ _f"> </span>Be<span class="_ _f"> </span>Free,<span class="_ _c"> </span>David<span class="_ _9"> </span>Stone,<span class="_ _f"> </span>CppNow15</span></div><div class="t m0 x20 h9 y97 fff fs6 fc3 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff9">Free<span class="_ _f"> </span>your<span class="_ _f"> </span>functions!,<span class="_ _f"> </span><span class="ff10">Klaus<span class="_ _f"> </span>Iglberger</span>,<span class="_ _c"> </span>Meeting<span class="_ _9"> </span>C++<span class="_ _f"> </span>2017</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">22/40</div><a class="l" href="https://workat.tech/machine-coding/tutorial/design-good-functions-classes-clean-code-86h68awn9c7q"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:121.363000px;width:377.025000px;height:10.212000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://workat.tech/machine-coding/tutorial/design-good-functions-classes-clean-code-86h68awn9c7q"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:108.761000px;width:254.471000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.foonathan.net/2017/06/member-vs-free/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:94.912000px;width:138.506000px;height:8.619000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="http://www.gotw.ca/gotw/084.htm"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:79.570000px;width:105.554000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://embeddedartistry.com/fieldatlas/how-non-member-functions-improve-encapsulation/"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:64.975000px;width:218.531000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines#c4-make-a-function-a-member-only-if-it-needs-direct-access-to-the-representation-of-a-class"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:50.380000px;width:377.025000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines#c4-make-a-function-a-member-only-if-it-needs-direct-access-to-the-representation-of-a-class"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:37.777000px;width:185.579000px;height:9.366000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.youtube.com/watch?v=_lVlC0xzXDc"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:23.182000px;width:227.945000px;height:9.365000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://www.youtube.com/watch?v=nWJHhtmWYcY"><div class="d m1" style="border-style:none;position:absolute;left:49.168000px;bottom:8.587000px;width:260.897000px;height:9.365000px;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="pf1e" class="pf w0 h0" data-page-no="1e"><div class="pc pc1e w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions</div><div class="t m0 x1 hb y98 ff1 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>unctions<span class="_ _7"> </span>that<span class="_ _7"> </span>must<span class="_ _9"> </span>be<span class="_ _7"> </span><span class="ffb fc5">memb<span class="_ _b"></span>er<span class="_ _7"> </span></span>(C++<span class="_ _9"> </span>standa<span class="_ _e"></span>rd)<span class="ff4">:</span></div><div class="t m0 x25 hb y99 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Constructo<span class="_ _6"></span>rs,<span class="_ _13"> </span>destructo<span class="_ _6"></span>r,<span class="_ _13"> </span>e.g.<span class="_ _4"> </span><span class="ff6">A()<span class="_ _12"> </span></span>,<span class="_ _16"> </span><span class="ffe">∼<span class="ff6">A()</span></span></span></div><div class="t m0 x25 hb y9a ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Assignment<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs,<span class="_ _d"> </span>e.g.<span class="_ _a"> </span><span class="ff6">operator=(const<span class="_"> </span>A&)</span></span></div><div class="t m0 x25 hb y9b ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Subscript<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs,<span class="_ _16"> </span><span class="ff6">operator[]()</span></span></div><div class="t m0 x25 hb y9c ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Arro<span class="_ _6"></span>w<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs,<span class="_ _16"> </span><span class="ff6">operator->()</span></span></div><div class="t m0 x25 hb y9d ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Conversion<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs,<span class="_ _16"> </span><span class="ff6">operator<span class="_"> </span>B()</span></span></div><div class="t m0 x25 hb y9e ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">F<span class="_ _6"></span>unction<span class="_ _13"> </span>call<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>r,<span class="_ _16"> </span><span class="ff6">operator()</span></span></div><div class="t m0 x25 hb y9f ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Virtual<span class="_ _13"> </span>functions,<span class="_ _16"> </span><span class="ff6">virtual<span class="_"> </span>f()</span></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">23/40</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>unctions<span class="_ _7"> </span>strongly<span class="_ _7"> </span>suggested<span class="_ _9"> </span>being<span class="_ _7"> </span><span class="ffb fc5">memb<span class="_ _b"></span>er</span><span class="ff4">:</span></div><div class="t m0 x25 hb ya0 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff1">Una<span class="_ _6"></span>ry<span class="_ _7"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs<span class="_ _13"> </span><span class="ff4">b<span class="_ _b"></span>ecause<span class="_ _d"> </span>they<span class="_ _13"> </span>don’t<span class="_ _13"> </span>interact<span class="_ _13"> </span>with<span class="_ _13"> </span>other<span class="_ _13"> </span>entities</span></span></div><div class="t m0 x13 h6 ya1 ff4 fs4 fc0 sc0 ls0 ws0">-<span class="_ _5"> </span>Memb<span class="_ _b"></span>er<span class="_ _d"> </span>access<span class="_ _d"> </span>operators:<span class="_ _9"> </span>dereferencing<span class="_ _18"> </span><span class="ff6">*a<span class="_ _d"> </span></span>,<span class="_ _d"> </span>address-of<span class="_ _18"> </span><span class="ff6">&a</span></div><div class="t m0 x13 h6 ya2 ff4 fs4 fc0 sc0 ls0 ws0">-<span class="_ _5"> </span>Increment,<span class="_ _d"> </span>decrement<span class="_ _d"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs:<span class="_ _10"> </span><span class="ff6">a++<span class="_ _17"> </span>–a</span></div><div class="t m0 x25 hb ya3 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Any<span class="_ _13"> </span><span class="ff1">metho<span class="_ _b"></span>d<span class="_ _7"> </span>that<span class="_ _9"> </span>p<span class="_ _e"></span>reserves</span></span></div><div class="t m0 x13 h6 ya4 ff4 fs4 fc0 sc0 ls0 ws0">-<span class="_ _5"> </span><span class="ff1">const<span class="_ _13"> </span>co<span class="_ _6"></span>rrectness<span class="ff4">,<span class="_ _d"> </span>e.g.<span class="_ _9"> </span>p<span class="_ _b"></span>ointer<span class="_ _d"> </span>access</span></span></div><div class="t m0 x13 h6 ya5 ff4 fs4 fc0 sc0 ls0 ws0">-<span class="_ _5"> </span><span class="ff1">object<span class="_ _13"> </span>initialization<span class="_ _13"> </span>state</span>,<span class="_ _d"> </span>e.g.<span class="_ _9"> </span>a<span class="_ _d"> </span>variable<span class="_ _d"> </span>that<span class="_ _d"> </span>cannot<span class="_ _d"> </span>be<span class="_ _d"> </span>changed<span class="_ _d"> </span>externally<span class="_ _d"> </span>after</div><div class="t m0 x27 h6 ya6 ff4 fs4 fc0 sc0 ls0 ws0">initialization<span class="_ _d"> </span>(inva<span class="_ _6"></span>riant)</div><div class="t m0 x1 hb ya7 ff1 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>unctions<span class="_ _7"> </span>suggested<span class="_ _7"> </span>b<span class="_ _b"></span>eing<span class="_ _7"> </span>memb<span class="_ _b"></span>er<span class="ff4">:</span></div><div class="t m0 x25 hb ya8 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">In<span class="_ _13"> </span>general,<span class="_ _13"> </span><span class="ff1">comp<span class="_ _b"></span>ound<span class="_ _7"> </span>op<span class="_ _b"></span>erato<span class="_ _e"></span>rs<span class="_ _7"> </span><span class="ff4">a<span class="_ _6"></span>re<span class="_ _13"> </span>exp<span class="_ _6"></span>ressed<span class="_ _13"> </span>b<span class="_ _6"></span>y<span class="_ _13"> </span>up<span class="_ _b"></span>dating<span class="_ _d"> </span>private<span class="_ _13"> </span>data</span></span></span></div><div class="t m0 x6 hb ya9 ff4 fs7 fc0 sc0 ls0 ws0">memb<span class="_ _b"></span>ers<span class="_ _16"> </span><span class="ff6 fs4">operator+=(T,<span class="_"> </span>T)<span class="_ _15"> </span><span class="ff4">,<span class="_ _16"> </span></span>operator|=(T,<span class="_"> </span>T)<span class="_ _12"> </span><span class="ff4">,<span class="_ _d"> </span>etc.</span></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">24/40</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Non-Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>unctions<span class="_ _7"> </span>that<span class="_ _7"> </span>must<span class="_ _9"> </span>be<span class="_ _7"> </span><span class="ffb fc4">non-memb<span class="_ _b"></span>er<span class="_ _7"> </span></span>(C++<span class="_ _9"> </span>standa<span class="_ _e"></span>rd)<span class="ff4">:</span></div><div class="t m0 x25 hb yaa ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Stream<span class="_ _13"> </span>extraction<span class="_ _13"> </span>and<span class="_ _13"> </span>insertion<span class="_ _16"> </span><span class="ff6">«<span class="_ _12"> </span></span>,<span class="_ _16"> </span><span class="ff6">»</span></span></div><div class="t m0 x1 hb yab ff1 fs7 fc0 sc0 ls0 ws0">F<span class="_ _6"></span>unctions<span class="_ _7"> </span>that<span class="_ _7"> </span>are<span class="_ _13"> </span>strongly<span class="_ _9"> </span>suggested<span class="_ _13"> </span>b<span class="_ _b"></span>eing<span class="_ _7"> </span><span class="ffb fc4">non-memb<span class="_ _b"></span>er</span><span class="ff4">:</span></div><div class="t m0 x25 hb yac ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Bina<span class="_ _6"></span>ry<span class="_ _13"> </span>op<span class="_ _b"></span>erato<span class="_ _6"></span>rs<span class="_ _13"> </span>to<span class="_ _d"> </span>maintain<span class="_ _7"> </span>symmetry<span class="_ _8"></span>,<span class="_ _13"> </span>see<span class="_ _13"> </span>also<span class="_ _13"> </span>“Implicit<span class="_ _13"> </span>conversion<span class="_ _13"> </span>and</span></div><div class="t m0 x6 hb yad ff4 fs7 fc0 sc0 ls0 ws0">overloading”</div><div class="t m0 x28 h6 yae ff6 fs4 fc0 sc0 ls0 ws0">operator+(T,<span class="_"> </span>T)<span class="_ _12"> </span><span class="ff4">,<span class="_ _16"> </span></span>operator|(T,<span class="_"> </span>T)<span class="_ _15"> </span><span class="ff4">,<span class="_ _d"> </span>etc.</span></div><div class="t m0 x25 hb yaf ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff6">Template<span class="_"> </span>functions<span class="_ _13"> </span><span class="ff4">within<span class="_ _13"> </span>a<span class="_ _13"> </span></span>class<span class="_"> </span>template</span></div><div class="t m0 x6 hb yb0 ff4 fs7 fc0 sc0 ls0 ws0">Otherwise,<span class="_ _13"> </span>it<span class="_ _13"> </span>requires<span class="_ _13"> </span>an<span class="_ _13"> </span>additional<span class="_ _16"> </span><span class="ff6">template<span class="_ _16"> </span></span>k<span class="_ _6"></span>eyw<span class="_ _6"></span>o<span class="_ _6"></span>rd<span class="_ _13"> </span>when<span class="_ _13"> </span>calling<span class="_ _13"> </span>the<span class="_ _13"> </span>function</div><div class="t m0 x6 hb yb1 ff4 fs7 fc0 sc0 ls0 ws0">(see<span class="_ _13"> </span><span class="ffa">dep<span class="_ _b"></span>endent<span class="_ _d"> </span>typename<span class="_ _0"></span></span>)<span class="_ _13"> </span><span class="ffe">→<span class="_ _13"> </span></span>verb<span class="_ _b"></span>ose,<span class="_ _d"> </span>error-p<span class="_ _e"></span>rone</div><div class="t m0 x25 ha y7d ff9 fs6 fc3 sc0 ls0 ws0">Effective<span class="_ _f"> </span>C++<span class="_ _f"> </span>item<span class="_ _f"> </span>24:<span class="_ _17"> </span>Declare<span class="_ _f"> </span>Non-member<span class="_ _f"> </span>Functions<span class="_ _f"> </span>When<span class="_ _f"> </span>Type<span class="_ _f"> </span>Conversions<span class="_ _c"> </span>Should</div><div class="t m0 x1 ha y7e ff9 fs6 fc3 sc0 ls0 ws0">Apply<span class="_ _f"> </span>to<span class="_ _f"> </span>All<span class="_ _f"> </span>Parameters</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">25/40</div><a class="l" href="https://blog.ycshao.com/2017/10/16/effective-c-item-24-declare-non-member-functions-when-type-conversions-should-apply-to-all-parameters/"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:40.564000px;width:391.471000px;height:11.656000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://blog.ycshao.com/2017/10/16/effective-c-item-24-declare-non-member-functions-when-type-conversions-should-apply-to-all-parameters/"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:26.173000px;width:110.261000px;height:11.154000px;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="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,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIz0lEQVR42u3ZPUoDURSG4VyZg9XgGsQqtYWIpEihiBtzE+4lRSzcQRp3YBUCBk8TOzv/IIln4vNsYMg3Q3i5t51dXI0AAKCM56fHIysAAFCNSAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEA4EPLTCsAAFBHRDhJBQCgHJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBINQEAANV0JgDgM6/r9fnN3Z4fupjPLA+0zLQCAAB1RITrfgAAyhGpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBg2DoTwD6NJ9ND+jmL+cw7BWAXWmZaAQCAOiLCdT8AAOWIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAOxKZwL4wngyNcJPLOYzIwCwRS0zrQAAQB0R4bofAIByRCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAGxZZwL+ymq1MgL8Vt/3RvBP4nPlP3CSCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAAhq0zAQDD1fe9EeAgOUkFAECkAgDAd1pmWgEAgDoiwkkqAADliFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAESqCQAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAYFi65f2pFQA4YC/XD0aAYRlf3rZ2crxZvo1Gm83GIAAAlPAOPEwyJbvsJyYAAAAASUVORK5CYII="/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Memb<span class="_ _b"></span>er<span class="_ _9"> </span>F<span class="_ _e"></span>unctions<span class="_ _9"> </span>vs.<span class="_ _18"> </span>F<span class="_ _6"></span>ree<span class="_ _9"> </span>F<span class="_ _6"></span>unctions<span class="_ _9"> </span>-<span class="_ _9"> </span>Summa<span class="_ _e"></span>ry</div><div class="t m0 x1 hb yb2 ff4 fs7 fc0 sc0 ls0 ws0">Mo<span class="_ _6"></span>re<span class="_ _13"> </span>in<span class="_ _13"> </span>general,<span class="_ _13"> </span><span class="ffa fc5">memb<span class="_ _b"></span>er<span class="_ _d"> </span>functions<span class="_ _13"> </span></span>should<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>used<span class="_ _13"> </span>only<span class="_ _13"> </span>to<span class="_ _13"> </span><span class="ff1">p<span class="_ _6"></span>reserve<span class="_ _7"> </span>the<span class="_ _7"> </span>invariant</span></div><div class="t m0 x1 hb yb3 ff1 fs7 fc0 sc0 ls0 ws0">p<span class="_ _6"></span>rop<span class="_ _b"></span>erties<span class="_ _d"> </span><span class="ff4">of<span class="_ _13"> </span>a<span class="_ _13"> </span>class<span class="_ _13"> </span>and<span class="_ _13"> </span></span>cannot<span class="_ _9"> </span>be<span class="_ _9"> </span>efficiency<span class="_ _13"> </span>implemented<span class="_ _7"> </span>in<span class="_ _9"> </span>terms<span class="_ _13"> </span>of<span class="_ _9"> </span>other</div><div class="t m0 x1 hb yb4 ff1 fs7 fc0 sc0 ls0 ws0">public<span class="_ _7"> </span>metho<span class="_ _b"></span>ds</div><div class="t m0 x1 hb yb5 ff4 fs7 fc0 sc0 ls0 ws0">All<span class="_ _13"> </span>other<span class="_ _13"> </span>functions<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span><span class="ff1">suggested<span class="_ _13"> </span></span>to<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span><span class="ffb fc4">free-functions</span></div><div class="t m0 x1 hb yb6 ff4 fs7 fc0 sc0 ls0 ws0">Some<span class="_ _13"> </span>examples:<span class="_ _4"> </span><span class="ff6">std::begin()/std::end()<span class="_ _16"> </span></span><span class="fc6">C++14</span>,<span class="_ _16"> </span><span class="ff6">std::size()<span class="_ _16"> </span></span><span class="fc6">C++17</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">26/40</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<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,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAIyklEQVR42u3YsU3EQBCG0VvkEdGKGhARFSBEjERnNEE5BBRBB0SnjZjEZIgAnQAh3/j8Xgf+18GnaVc3dzsAACjj9eX5zAoAAFQjUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAA+NQy0woAANQRES6pAACUI1IBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAAMcwmQCAbRpjnNLn9N69KafEJRUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAD4Vy0zrQAAQB0R4ZIKAEA5IhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAAFjUZIK1GGNs7ZN7794dALbJJRUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAHFfLTCsAAFBHRLikAgBQjkgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAADZlMsHPjTGMsGq9dyMAwCq4pAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAgHVrmWkFAADqiAiXVAAAyhGpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAIDKpo185xhjy8/ce/evAwAr4pIKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAAamuZaQUAAOqICJdUAADKEakAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAAD+bjIBX40xjLCY3rsRAOBbLqkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAwK+0zLQCAAB1RIRLKgAA5YhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBgUdP+8dIKAHDA2/2TEWBJ17cPrV2cz/v33W6eZ4MAAFDCB9l2MfryJbVeAAAAAElFTkSuQmCC"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Namespace<span class="_ _9"> </span>F<span class="_ _6"></span>unctions<span class="_ _9"> </span>vs.<span class="_ _19"> </span>Class<span class="_ _9"> </span><span class="ff11">static<span class="_ _9"> </span></span>Metho<span class="_ _b"></span>ds</div><div class="t m0 x1 hb yb7 ff1 fs7 fc0 sc0 ls0 ws0">Namespace<span class="_ _7"> </span>functions:</div><div class="t m0 x25 hb yb8 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Namespace<span class="_ _13"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>extended<span class="_ _13"> </span>anywhere<span class="_ _13"> </span>(without<span class="_ _13"> </span>control)</span></div><div class="t m0 x25 hb yb9 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Namespace<span class="_ _13"> </span>sp<span class="_ _b"></span>ecifier<span class="_ _d"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>avoided<span class="_ _13"> </span>with<span class="_ _13"> </span>the<span class="_ _13"> </span>keyw<span class="_ _e"></span>ord<span class="_ _16"> </span><span class="ff6">using</span></span></div><div class="t m0 x1 hb yba ff1 fs7 fc0 sc0 ls0 ws0">Class<span class="_ _7"> </span>+<span class="_ _10"> </span><span class="ff11">static<span class="_ _10"> </span></span>methods:</div><div class="t m0 x25 hb ybb ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Can<span class="_ _13"> </span>interact<span class="_ _13"> </span>only<span class="_ _13"> </span>with<span class="_ _13"> </span>static<span class="_ _13"> </span>data<span class="_ _13"> </span>memb<span class="_ _b"></span>ers</span></div><div class="t m0 x25 hb ybc ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">struct/class<span class="_ _16"> </span><span class="ff4">cannot<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>extended<span class="_ _13"> </span>outside<span class="_ _13"> </span>their<span class="_ _13"> </span>declarations</span></span></div><div class="t m0 x29 h7 ybd ffe fs3 fc0 sc0 ls0 ws0">→<span class="_ _1a"> </span><span class="ff12">static<span class="_ _16"> </span><span class="ff13">metho<span class="_ _b"></span>ds<span class="_ _7"> </span>should<span class="_ _7"> </span>define<span class="_ _7"> </span>op<span class="_ _b"></span>erations<span class="_ _7"> </span>strictly<span class="_ _7"> </span>related<span class="_ _7"> </span>to<span class="_ _7"> </span>an<span class="_ _7"> </span>object<span class="_ _7"> </span>state</span></span></div><div class="t m0 x2a h7 ybe ff13 fs3 fc0 sc0 ls0 ws0">(<span class="ff3">statefull<span class="_ _1b"></span></span>)</div><div class="t m0 x29 h7 ybf ffe fs3 fc0 sc0 ls0 ws0">→<span class="_ _5"> </span><span class="ff13">otherwise<span class="_ _10"> </span><span class="ff12">namespace<span class="_ _16"> </span></span>should<span class="_ _7"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>preferred<span class="_ _13"> </span>(<span class="ff3">stateless<span class="_ _1b"></span></span>)</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">27/40</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="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 x9 h2 y20 ff1 fs0 fc0 sc0 ls0 ws0">BLAS<span class="_ _1"> </span>GEMM<span class="_ _1"> </span>Case</div><div class="t m0 x9 h2 y21 ff1 fs0 fc0 sc0 ls0 ws0">Study</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:154.437000px;width:241.993000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a><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:115.247000px;width:67.368000px;height:24.025000px;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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">BLAS<span class="_ _9"> </span>GEMM</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">GE<span class="ff4">neralized<span class="_ _13"> </span></span>M<span class="ff4">atrix-</span>M<span class="ff4">atrix<span class="_ _13"> </span>p<span class="_ _6"></span>ro<span class="_ _b"></span>duct<span class="_ _d"> </span>API<span class="_ _13"> </span>provided<span class="_ _d"> </span>by<span class="_ _13"> </span><span class="ff1">B</span>asic<span class="_ _13"> </span><span class="ff1">L</span>inea<span class="_ _6"></span>r<span class="_ _13"> </span><span class="ff1">A</span>lgebra<span class="_ _d"> </span><span class="ff1">S</span>ubroutine</span></div><div class="t m0 x1 hb y61 ff4 fs7 fc0 sc0 ls0 ws0">standa<span class="_ _6"></span>rd<span class="_ _13"> </span>is<span class="_ _13"> </span>one<span class="_ _13"> </span>of<span class="_ _13"> </span>the<span class="_ _13"> </span>most<span class="_ _13"> </span>used<span class="_ _13"> </span>function<span class="_ _13"> </span>in<span class="_ _13"> </span>scientific<span class="_ _13"> </span>computing<span class="_ _13"> </span>and<span class="_ _13"> </span>a<span class="_ _6"></span>rtifical</div><div class="t m0 x1 hb y62 ff4 fs7 fc0 sc0 ls0 ws0">intelligence</div><div class="t m0 x1 hb yc0 ff4 fs7 fc0 sc0 ls0 ws0">The<span class="_ _13"> </span>API<span class="_ _13"> </span>is<span class="_ _13"> </span>defined<span class="_ _13"> </span>in<span class="_ _13"> </span>C<span class="_ _13"> </span>as<span class="_ _13"> </span>follo<span class="_ _6"></span>w:<span class="_ _f"> </span><span class="ffa">C<span class="_ _9"> </span><span class="ff14">=<span class="_ _12"> </span><span class="ff15">α</span></span>op<span class="_ _0"></span><span class="ff14">(</span>A<span class="ff14">)<span class="_ _15"> </span><span class="ffe">∗<span class="_ _1c"> </span></span></span>op<span class="_ _b"></span><span class="ff14">(</span>B<span class="_ _b"></span><span class="ff14">)<span class="_ _15"> </span>+<span class="_ _15"> </span><span class="ff15">β<span class="_ _b"></span></span></span>C</span></div><div class="t m0 x8 ha yc1 ff9 fs6 fc0 sc0 ls0 ws0">ErrorEnum<span class="_ _f"> </span><span class="fc4">sgemm</span>(<span class="ff11 fc7">int<span class="_ _f"> </span></span>m,<span class="_ _f"> </span><span class="ff11 fc7">int<span class="_ _f"> </span></span>n,<span class="_ _f"> </span><span class="ff11 fc7">int<span class="_ _c"> </span></span>k,</div><div class="t m0 x9 ha yc2 ff9 fs6 fc0 sc0 ls0 ws0">OperationEnum<span class="_ _f"> </span>opA,</div><div class="t m0 x9 ha yc3 ff9 fs6 fc0 sc0 ls0 ws0">OperationEnum<span class="_ _f"> </span>opB,</div><div class="t m0 x9 ha yc4 ff11 fs6 fc7 sc0 ls0 ws0">float<span class="_ _17"> </span><span class="ff9 fc0">alpha,</span></div><div class="t m0 x9 ha yc5 ff11 fs6 fc7 sc0 ls0 ws0">float<span class="ff9 fc8">*<span class="_ _f"> </span><span class="fc0">a,</span></span></div><div class="t m0 x9 ha yc6 ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _1d"> </span><span class="ff9 fc0">lda,</span></div><div class="t m0 x9 ha yc7 ff11 fs6 fc7 sc0 ls0 ws0">float<span class="ff9 fc8">*<span class="_ _f"> </span><span class="fc0">b,</span></span></div><div class="t m0 x9 ha yc8 ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _1d"> </span><span class="ff9 fc0">ldb,</span></div><div class="t m0 x9 ha yc9 ff11 fs6 fc7 sc0 ls0 ws0">float<span class="_ _17"> </span><span class="ff9 fc0">beta,</span></div><div class="t m0 x9 ha yca ff11 fs6 fc7 sc0 ls0 ws0">float<span class="ff9 fc8">*<span class="_ _f"> </span><span class="fc0">c,</span></span></div><div class="t m0 x9 ha ycb ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _1d"> </span><span class="ff9 fc0">ldc);</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">28/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">BLAS<span class="_ _9"> </span>GEMM<span class="_ _9"> </span>-<span class="_ _9"> </span>Comp<span class="_ _6"></span>rehension<span class="_ _9"> </span>Problems</div><div class="t m0 x25 hb ycc ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">m<span class="_ _12"> </span><span class="ff4">,<span class="_ _16"> </span></span>n<span class="_ _12"> </span><span class="ff4">,<span class="_ _16"> </span></span>k<span class="_ _16"> </span><span class="ff1">describ<span class="_ _b"></span>e<span class="_ _7"> </span>the<span class="_ _7"> </span>shap<span class="_ _b"></span>es<span class="_ _7"> </span>of<span class="_ _4"> </span></span>A<span class="_ _15"> </span><span class="ff4">,<span class="_ _16"> </span></span>B<span class="_ _d"> </span><span class="ff4">,<span class="_ _16"> </span></span>C<span class="_ _16"> </span><span class="ff4">in<span class="_ _d"> </span>a<span class="_ _13"> </span>non-intuitive<span class="_ _13"> </span>wa<span class="_ _e"></span>y<span class="_ _e"></span>.<span class="_ _f"> </span>Except</span></span></div><div class="t m0 x6 hb ycd ff4 fs7 fc0 sc0 ls0 ws0">domain-exp<span class="_ _b"></span>ert,<span class="_ _d"> </span>users<span class="_ _13"> </span>prefer<span class="_ _d"> </span>providing<span class="_ _d"> </span>the<span class="_ _13"> </span>numb<span class="_ _b"></span>er<span class="_ _13"> </span>of<span class="_ _13"> </span>rows<span class="_ _d"> </span>and<span class="_ _13"> </span>columns<span class="_ _13"> </span>as<span class="_ _13"> </span>matrix</div><div class="t m0 x6 hb yce ff4 fs7 fc0 sc0 ls0 ws0">p<span class="_ _6"></span>rop<span class="_ _b"></span>erties,<span class="_ _d"> </span>not<span class="_ _13"> </span>GEMM<span class="_ _13"> </span>problem<span class="_ _d"> </span>properties</div><div class="t m0 x25 hb ycf ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff1">Privatization<span class="_ _7"> </span>of<span class="_ _7"> </span>the<span class="_ _9"> </span>return<span class="_ _13"> </span>channel<span class="_ _13"> </span><span class="ff4">for<span class="_ _d"> </span>providing<span class="_ _d"> </span>errors</span></span></div><div class="t m0 x25 hb yd0 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff1">Erro<span class="_ _6"></span>rs<span class="_ _13"> </span>expressed<span class="_ _13"> </span>with<span class="_ _7"> </span>enumerato<span class="_ _6"></span>rs<span class="ff4">.<span class="_ _f"> </span>Need<span class="_ _13"> </span>additional<span class="_ _d"> </span>API<span class="_ _13"> </span>to<span class="_ _d"> </span>get<span class="_ _13"> </span>a<span class="_ _d"> </span>description<span class="_ _13"> </span>of</span></span></div><div class="t m0 x6 hb yd1 ff4 fs7 fc0 sc0 ls0 ws0">the<span class="_ _13"> </span>erro<span class="_ _6"></span>r<span class="_ _13"> </span>meaning</div><div class="t m0 x25 hb yd2 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff1">Domain-sp<span class="_ _b"></span>ecific<span class="_ _7"> </span>cryptic<span class="_ _7"> </span>name<span class="ff4">.<span class="_ _c"> </span>e.g.<span class="_ _4"> </span><span class="ff6">zgemm<span class="_ _12"> </span></span>:<span class="_ _f"> </span>generalized<span class="_ _13"> </span>matrix-matrix</span></span></div><div class="t m0 x6 hb yd3 ff4 fs7 fc0 sc0 ls0 ws0">multiplication<span class="_ _13"> </span>with<span class="_ _13"> </span>double-p<span class="_ _6"></span>recision<span class="_ _13"> </span>complex<span class="_ _13"> </span>t<span class="_ _6"></span>yp<span class="_ _b"></span>e</div><div class="t m0 x25 hb yd4 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff1">The<span class="_ _7"> </span>data<span class="_ _7"> </span>type<span class="_ _9"> </span>on<span class="_ _13"> </span>which<span class="_ _9"> </span>the<span class="_ _13"> </span>function<span class="_ _9"> </span>operates<span class="_ _7"> </span>is<span class="_ _9"> </span>encoded<span class="_ _9"> </span>in<span class="_ _13"> </span>the<span class="_ _9"> </span>name</span></div><div class="t m0 x6 hb yd5 ff1 fs7 fc0 sc0 ls0 ws0">itself<span class="_ _1e"> </span><span class="ff11">z<span class="ff6">gemm<span class="_ _16"> </span><span class="ffe">→<span class="_ _13"> </span><span class="ff4">any<span class="_ _13"> </span>new<span class="_ _13"> </span>combination<span class="_ _13"> </span>of<span class="_ _13"> </span>data<span class="_ _13"> </span>t<span class="_ _6"></span>yp<span class="_ _b"></span>es<span class="_ _d"> </span>requires<span class="_ _13"> </span>a<span class="_ _13"> </span>new<span class="_ _13"> </span>name.</span></span></span></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">29/40</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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">BLAS<span class="_ _9"> </span>GEMM<span class="_ _9"> </span>-<span class="_ _9"> </span>Flexibilit<span class="_ _6"></span>y<span class="_ _9"> </span>Problems<span class="_ _1f"> </span>1/3</div><div class="t m0 x25 hb ycc ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">A<span class="_ _12"> </span><span class="ff4">,<span class="_ _16"> </span></span>B<span class="_ _12"> </span><span class="ff4">,<span class="_ _16"> </span></span>C<span class="_ _16"> </span><span class="ff4">matrices<span class="_ _13"> </span>could<span class="_ _13"> </span>have<span class="_ _13"> </span>different<span class="_ _13"> </span>types</span></span></div><div class="t m0 x25 hb yd6 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">The<span class="_ _13"> </span>compute<span class="_ _13"> </span>t<span class="_ _6"></span>yp<span class="_ _b"></span>e,<span class="_ _d"> </span>namely<span class="_ _13"> </span>the<span class="_ _13"> </span>type<span class="_ _13"> </span>of<span class="_ _13"> </span>intermediate<span class="_ _13"> </span>op<span class="_ _b"></span>erations,<span class="_ _13"> </span>could<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _13"> </span>different</span></div><div class="t m0 x6 hb yd7 ff4 fs7 fc0 sc0 ls0 ws0">from<span class="_ _13"> </span>the<span class="_ _13"> </span>matrices.<span class="_ _f"> </span>This<span class="_ _13"> </span>is<span class="_ _13"> </span>also<span class="_ _13"> </span>known<span class="_ _d"> </span>as<span class="_ _13"> </span><span class="ffa">mixed-precision<span class="_ _13"> </span></span>computation</div><div class="t m0 x25 hb yd8 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Batched<span class="_ _13"> </span>computation,<span class="_ _13"> </span>namely<span class="_ _13"> </span>having<span class="_ _13"> </span>multiple<span class="_ _13"> </span>input/output<span class="_ _13"> </span>matrices,<span class="_ _13"> </span>is<span class="_ _13"> </span>not</span></div><div class="t m0 x6 hb yd9 ff4 fs7 fc0 sc0 ls0 ws0">supp<span class="_ _b"></span>o<span class="_ _e"></span>rted</div><div class="t m0 x25 hb yda ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">The<span class="_ _13"> </span>API<span class="_ _13"> </span>is<span class="_ _13"> </span><span class="ff1">state-less<span class="_ _13"> </span><span class="ffe">→<span class="_ _13"> </span></span></span>prep<span class="_ _e"></span>ro<span class="_ _b"></span>cessing<span class="_ _13"> </span>steps<span class="_ _13"> </span>fo<span class="_ _6"></span>r<span class="_ _13"> </span>optimization<span class="_ _13"> </span>o<span class="_ _6"></span>r<span class="_ _13"> </span>additional</span></div><div class="t m0 x6 hb ydb ff4 fs7 fc0 sc0 ls0 ws0">p<span class="_ _6"></span>rop<span class="_ _b"></span>erties<span class="_ _d"> </span>(e.g.<span class="_ _c"> </span>different<span class="_ _13"> </span>algo<span class="_ _6"></span>rithms)<span class="_ _13"> </span>cannot<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>expressed</div><div class="t m0 x25 hb ydc ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Matrix<span class="_ _13"> </span>sizes<span class="_ _13"> </span>can<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>greater<span class="_ _13"> </span>than<span class="_ _16"> </span><span class="ff6">int<span class="_ _16"> </span></span>(2</span></div><div class="t m0 x2b h8 ydd ff5 fs5 fc0 sc0 ls0 ws0">31</div><div class="t m0 x2c hb ydc ffe fs7 fc0 sc0 ls0 ws0">−<span class="_ _1c"> </span><span class="ff4">1),<span class="_ _13"> </span>sp<span class="_ _b"></span>ecially<span class="_ _13"> </span>on<span class="_ _13"> </span>distributed<span class="_ _13"> </span>systems</span></div><div class="t m0 x25 hb yde ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Even<span class="_ _13"> </span>if<span class="_ _13"> </span>w<span class="_ _6"></span>e<span class="_ _13"> </span>p<span class="_ _b"></span>erfo<span class="_ _6"></span>rm<span class="_ _d"> </span>computations<span class="_ _7"> </span>with<span class="_ _13"> </span>relative<span class="_ _13"> </span>small<span class="_ _13"> </span>matrices,<span class="_ _13"> </span>the<span class="_ _13"> </span>strides,<span class="_ _13"> </span>e.g.</span></div><div class="t m0 x28 hb ydf ff6 fs7 fc0 sc0 ls0 ws0">row<span class="_"> </span>*<span class="_"> </span>lda<span class="_ _16"> </span><span class="ff4">could<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>larger<span class="_ _d"> </span>than<span class="_ _16"> </span></span>int<span class="_ _16"> </span><span class="ff4">(2</span></div><div class="t m0 x24 h8 ye0 ff5 fs5 fc0 sc0 ls0 ws0">31</div><div class="t m0 x2d hb ydf ffe fs7 fc0 sc0 ls0 ws0">−<span class="_ _1c"> </span><span class="ff4">1)</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">30/40</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="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 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">BLAS<span class="_ _9"> </span>GEMM<span class="_ _9"> </span>-<span class="_ _9"> </span>Flexibilit<span class="_ _6"></span>y<span class="_ _9"> </span>Problems<span class="_ _1f"> </span>2/3</div><div class="t m0 x25 hb ye1 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">alpha/beta<span class="_ _16"> </span><span class="ff4">could<span class="_ _13"> </span>have<span class="_ _13"> </span>a<span class="_ _13"> </span>different<span class="_ _13"> </span>t<span class="_ _6"></span>yp<span class="_ _b"></span>e<span class="_ _d"> </span>from<span class="_ _13"> </span>matrix<span class="_ _13"> </span>types</span></span></div><div class="t m0 x25 hb ye2 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">alpha/beta<span class="_ _16"> </span><span class="ff4">a<span class="_ _6"></span>re<span class="_ _13"> </span>t<span class="_ _6"></span>ypically<span class="_ _13"> </span>p<span class="_ _b"></span>ointers<span class="_ _d"> </span>on<span class="_ _13"> </span>accelerators<span class="_ _d"> </span>(e.g.<span class="_ _c"> </span>GPU)<span class="_ _13"> </span>to<span class="_ _13"> </span>allo<span class="_ _6"></span>w</span></span></div><div class="t m0 x6 hb ye3 ff4 fs7 fc0 sc0 ls0 ws0">asynchronous<span class="_ _13"> </span>computation</div><div class="t m0 x25 hb ye4 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">The<span class="_ _13"> </span>underline<span class="_ _13"> </span>memo<span class="_ _6"></span>ry<span class="_ _13"> </span>la<span class="_ _6"></span>yout<span class="_ _d"> </span>is<span class="_ _13"> </span>implicit<span class="_ _13"> </span>(column-major).<span class="_ _9"> </span>Row-majo<span class="_ _6"></span>r<span class="_ _13"> </span>and<span class="_ _13"> </span>other</span></div><div class="t m0 x6 hb ye5 ff4 fs7 fc0 sc0 ls0 ws0">la<span class="_ _6"></span>y<span class="_ _6"></span>outs<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>not<span class="_ _13"> </span>supp<span class="_ _b"></span>o<span class="_ _6"></span>rted</div><div class="t m0 x25 hb ye6 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _1a"> </span><span class="ff6">C<span class="_ _16"> </span><span class="ff4">is<span class="_ _13"> </span>b<span class="_ _b"></span>oth<span class="_ _d"> </span>input<span class="_ _13"> </span>and<span class="_ _13"> </span>output.<span class="_ _c"> </span>It<span class="_ _d"> </span>is<span class="_ _13"> </span>more<span class="_ _d"> </span>flexible<span class="_ _13"> </span>to<span class="_ _13"> </span>decouple<span class="_ _16"> </span></span>C<span class="_ _16"> </span><span class="ff4">and<span class="_ _13"> </span>add<span class="_ _13"> </span>another</span></span></div><div class="t m0 x6 hb ye7 ff4 fs7 fc0 sc0 ls0 ws0">pa<span class="_ _6"></span>rameter<span class="_ _13"> </span>fo<span class="_ _6"></span>r<span class="_ _13"> </span>the<span class="_ _13"> </span>output<span class="_ _16"> </span><span class="ff6">D</span></div><div class="t m0 x25 hb ye8 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Do<span class="_ _b"></span>esn’t<span class="_ _d"> </span>have<span class="_ _13"> </span>an<span class="_ _13"> </span><span class="ffa">execution<span class="_ _13"> </span>p<span class="_ _b"></span>olicy<span class="_ _f"> </span></span>which<span class="_ _13"> </span>describ<span class="_ _b"></span>es<span class="_ _13"> </span><span class="ffa">where<span class="_ _9"> </span></span>(host,<span class="_ _d"> </span>device)<span class="_ _13"> </span>and<span class="_ _13"> </span><span class="ffa">how</span></span></div><div class="t m0 x6 hb ye9 ff4 fs7 fc0 sc0 ls0 ws0">(sequential,<span class="_ _13"> </span>pa<span class="_ _6"></span>rallel,<span class="_ _13"> </span>vecto<span class="_ _6"></span>rized,<span class="_ _13"> </span>etc.)</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">31/40</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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">BLAS<span class="_ _9"> </span>GEMM<span class="_ _9"> </span>-<span class="_ _9"> </span>Flexibilit<span class="_ _6"></span>y<span class="_ _9"> </span>Problems<span class="_ _1f"> </span>3/3</div><div class="t m0 x25 hb yea ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">Do<span class="_ _b"></span>esn’t<span class="_ _d"> </span>have<span class="_ _13"> </span>a<span class="_ _13"> </span><span class="ffa">memory<span class="_ _d"> </span>resource<span class="_ _9"> </span></span>which<span class="_ _13"> </span>provides<span class="_ _d"> </span>a<span class="_ _13"> </span>mechanism<span class="_ _13"> </span>to<span class="_ _13"> </span>manage<span class="_ _13"> </span>internal</span></div><div class="t m0 x6 hb yeb ff4 fs7 fc0 sc0 ls0 ws0">memo<span class="_ _6"></span>ry</div><div class="t m0 x25 hb yec ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ffa">Memo<span class="_ _6"></span>ry<span class="_ _13"> </span>alignment<span class="_ _9"> </span><span class="ff4">is<span class="_ _13"> </span>known<span class="_ _d"> </span>only<span class="_ _13"> </span>at<span class="_ _13"> </span>run-time</span></span></div><div class="t m0 x25 hb yed ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">It<span class="_ _13"> </span>is<span class="_ _13"> </span>not<span class="_ _13"> </span>p<span class="_ _b"></span>ossible<span class="_ _d"> </span>to<span class="_ _13"> </span>optimize<span class="_ _13"> </span>the<span class="_ _13"> </span>execution<span class="_ _13"> </span>with<span class="_ _13"> </span>compile-time<span class="_ _13"> </span>matrix<span class="_ _13"> </span>sizes</span></div><div class="t m0 x1 hb yee ffa fs7 fc0 sc0 ls0 ws0">Most<span class="_ _13"> </span>of<span class="_ _13"> </span>all<span class="_ _13"> </span>these<span class="_ _13"> </span>p<span class="_ _b"></span>oints<span class="_ _d"> </span>have<span class="_ _13"> </span>b<span class="_ _b"></span>een<span class="_ _13"> </span>addressed<span class="_ _13"> </span>b<span class="_ _6"></span>y<span class="_ _13"> </span>the<span class="_ _9"> </span><span class="ff11">std::linalg<span class="_ _12"> </span><span class="ffd fs8"><span class="_ _13"> </span></span></span>p<span class="_ _6"></span>rop<span class="_ _b"></span>osal</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">32/40</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="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 x9 h2 y20 ff1 fs0 fc0 sc0 ls0 ws0">Owning<span class="_ _1"> </span>Objects<span class="_ _1"> </span>and</div><div class="t m0 x9 h2 y21 ff1 fs0 fc0 sc0 ls0 ws0">Views</div><a class="l" href="#pf29" data-dest-detail='[41,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:149.618000px;width:241.993000px;height:24.025000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="#pf29" data-dest-detail='[41,"XYZ",27.346,256.118,null]'><div class="d m1" style="border-style:none;position:absolute;left:105.775000px;bottom:120.066000px;width:68.077000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Objects<span class="_ _9"> </span>vs.<span class="_ _19"> </span>View</div><div class="t m0 x8 hb yef ff1 fs7 fc1 sc0 ls0 ws0">Object</div><div class="t m0 x8 hb yf0 ff4 fs7 fc0 sc0 ls0 ws0">An<span class="_ _13"> </span><span class="ff1">object<span class="_ _13"> </span></span>is<span class="_ _13"> </span>a<span class="_ _13"> </span>rep<span class="_ _6"></span>resentation<span class="_ _13"> </span>of<span class="_ _13"> </span>a<span class="_ _13"> </span><span class="ffa">concrete<span class="_ _13"> </span>entit<span class="_ _6"></span>y<span class="_ _f"> </span><span class="ff4">as<span class="_ _13"> </span>a<span class="_ _13"> </span></span>value<span class="_ _13"> </span>in<span class="_ _13"> </span>memory</span></div><div class="t m0 x8 hb yf1 ff1 fs7 fc1 sc0 ls0 ws0">Resource-o<span class="_ _6"></span>wning<span class="_ _7"> </span>object</div><div class="t m0 x8 hb yf2 ff1 fs7 fc0 sc0 ls0 ws0">Resource-o<span class="_ _6"></span>wning<span class="_ _7"> </span>object<span class="_ _13"> </span><span class="ff4">refers<span class="_ _13"> </span>to<span class="_ _13"> </span>RAI<span class="_ _b"></span>I<span class="_ _13"> </span>pa<span class="_ _6"></span>radigm<span class="_ _13"> </span>which<span class="_ _13"> </span>ties<span class="_ _13"> </span>resources<span class="_ _13"> </span>to<span class="_ _13"> </span>object</span></div><div class="t m0 x8 hb yf3 ff4 fs7 fc0 sc0 ls0 ws0">lifetime</div><div class="t m0 x1 h6 yf4 ff4 fs4 fc0 sc0 ls0 ws0">example:<span class="_ _1e"> </span><span class="ff6">std::vector<span class="_ _12"> </span></span>,<span class="_ _16"> </span><span class="ff6">std::string</span></div><div class="t m0 x8 hb yf5 ff1 fs7 fc1 sc0 ls0 ws0">View</div><div class="t m0 x8 h6 yf6 ff4 fs4 fc0 sc0 ls0 ws0">A<span class="_ _d"> </span><span class="ff1">view<span class="_ _d"> </span></span>acts<span class="_ _d"> </span>as<span class="_ _d"> </span>a<span class="_ _d"> </span><span class="ffa">non-owning<span class="_ _12"> </span>reference<span class="_ _7"> </span></span>and<span class="_ _d"> </span>do<span class="_ _b"></span>es<span class="_ _d"> </span>not<span class="_ _d"> </span>manage<span class="_ _d"> </span>the<span class="_ _d"> </span>sto<span class="_ _6"></span>rage<span class="_ _d"> </span>that<span class="_ _d"> </span>it<span class="_ _d"> </span>refers<span class="_ _d"> </span>to.</div><div class="t m0 x8 h6 yf7 ff4 fs4 fc0 sc0 ls0 ws0">Lifetime<span class="_ _d"> </span>management<span class="_ _d"> </span>is<span class="_ _d"> </span>up<span class="_ _d"> </span>to<span class="_ _d"> </span>the<span class="_ _d"> </span>user</div><div class="t m0 x1 h6 yf8 ff4 fs4 fc0 sc0 ls0 ws0">example:<span class="_ _1e"> </span><span class="ff6">std::span<span class="_ _12"> </span></span>,<span class="_ _16"> </span><span class="ff6">std::mdspan<span class="_ _15"> </span></span>,<span class="_ _16"> </span><span class="ff6">std::string_view</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">33/40</div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
|
||
<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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Objects<span class="_ _9"> </span>vs.<span class="_ _19"> </span>View</div><div class="t m0 x25 hb yf9 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">lack<span class="_ _13"> </span>o<span class="_ _6"></span>wnership</span></div><div class="t m0 x25 hb yfa ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">sho<span class="_ _6"></span>rt-lived</span></div><div class="t m0 x25 hb yfb ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">generally<span class="_ _13"> </span>app<span class="_ _b"></span>ea<span class="_ _6"></span>r<span class="_ _d"> </span>only<span class="_ _13"> </span>in<span class="_ _13"> </span>function<span class="_ _13"> </span>parameters</span></div><div class="t m0 x25 hb yfc ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">generally<span class="_ _13"> </span>cannot<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>stored<span class="_ _d"> </span>in<span class="_ _13"> </span>data<span class="_ _13"> </span>structures</span></div><div class="t m0 x25 hb yfd ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">generally<span class="_ _13"> </span>cannot<span class="_ _13"> </span>b<span class="_ _b"></span>e<span class="_ _d"> </span>returned<span class="_ _13"> </span>safely<span class="_ _13"> </span>from<span class="_ _13"> </span>functions<span class="_ _13"> </span>(no<span class="_ _13"> </span>ownership<span class="_ _d"> </span>semantics)</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">34/40</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="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,iVBORw0KGgoAAAANSUhEUgAAA4wAAAH/CAIAAACTgcSzAAAACXBIWXMAABYlAAAWJQFJUiTwAAAImklEQVR42u3ZMUoDQRTH4Z2wD6vFM4iVJwiSOpArWHgeL+ENLDyDYJFDeAOrsEXia9bOTpAlhLfyfScY/tP8mGm3600HAABlfOzfV1YAAKAakQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAwI+WmVYAAKCOiPCSCgBAOSIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAIB/o1/QWcdxdGEAAPMMw7Cg03pJBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAIFIBABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCAIBIBQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApJoAAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAABEKgAAiFQAABCpAACIVAAA+IuWmVYAAKCOiPCSCgBAOSIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAC/6Zdy0OPptHt4dGGwLG+vL0YAYIaWmVYAAKCOiPDdDwBAOSIVAACRCgAAIhUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAEQqAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAARCoAAIhUAABEKgAAiFQAAEQqAACIVAAARCoAAIhUAAAQqQAAiFQAABCpAACIVAAAEKkAAIhUAAAQqQAAiFQAABCpAAAgUgEAEKkAACBSAQAQqQAAIFIBABCpAAAgUgEAQKQCACBSAQBApAIAIFIBAECkAgAgUgEAQKQCACBSAQBApAIAgEgFAECkAgCASAUAQKQCAIBIBQBApAIAgEgFAACRCgCASAUAAJEKAIBIBQAAkQoAgEgFAACRCgCASAUAAJEKAAAiFQAAkQoAACIVAACRCgAAIhUAAJEKAAAiFQAARCoAACIVAABEKgAAIhUAAEQqAAAiFQAALqQ/PN1YAQBgts/tsxHO6+5+19r11XT46rppmgwCAEAJ3xTyIwBAWOyYAAAAAElFTkSuQmCC"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Objects<span class="_ _9"> </span>vs.<span class="_ _19"> </span>View</div><div class="t m0 x8 ha yfe ff10 fs6 fc9 sc0 ls0 ws0">#<span class="_ _20"> </span>include<span class="_ _18"> </span><span class="fca"><string></span></div><div class="t m0 x8 ha yff ff10 fs6 fc9 sc0 ls0 ws0">#<span class="_ _20"> </span>include<span class="_ _18"> </span><span class="fca"><string_view></span></div><div class="t m0 x8 ha y100 ff9 fs6 fc0 sc0 ls0 ws0">std<span class="fc8">::</span>string<span class="_ _f"> </span><span class="fc4">f</span>()<span class="_ _f"> </span>{<span class="_ _f"> </span><span class="ff11 fcb">return<span class="_ _f"> </span></span><span class="fcc">"abc"</span>;<span class="_ _f"> </span>}</div><div class="t m0 x8 ha y101 ff11 fs6 fc7 sc0 ls0 ws0">void<span class="_ _f"> </span><span class="ff9 fc4">g<span class="fc0">(std<span class="fc8">::</span>string_view<span class="_ _f"> </span>sv)<span class="_ _f"> </span>{}</span></span></div><div class="t m0 x8 ha y102 ff9 fs6 fc0 sc0 ls0 ws0">std<span class="fc8">::</span>string_view<span class="_ _f"> </span>x<span class="_ _f"> </span><span class="fc8">=<span class="_ _f"> </span></span>f();<span class="_ _f"> </span><span class="ff10 fca">//<span class="_ _f"> </span><span class="ff16">memory<span class="_ _c"> </span>leak</span></span></div><div class="t m0 x8 ha y103 ff9 fs6 fc0 sc0 ls0 ws0">g(f());<span class="_ _21"> </span><span class="ff10 fca">//<span class="_ _f"> </span><span class="ff16">memory<span class="_ _f"> </span>leak</span></span></div><div class="t m0 x25 h9 y7e ff9 fs6 fc3 sc0 ls0 ws0">Regular,<span class="_ _f"> </span>Revisited<span class="ff8">,<span class="_ _12"> </span><span class="ff7">Victor<span class="_ _12"> </span>Ciura</span>,<span class="_ _d"> </span>CppCon23</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">35/40</div><a class="l" href="https://github.com/CppCon/CppCon2023/blob/main/Presentations/Regular_Revisited_Victor_Ciura_CppCon_2023.pdf"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:26.173000px;width:184.643000px;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>
|
||
<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 x9 h2 y20 ff1 fs0 fc0 sc0 ls0 ws0">V<span class="_ _e"></span>alue<span class="_ _1"> </span>vs.<span class="_ _22"> </span>Reference</div><div class="t m0 x9 h2 y21 ff1 fs0 fc0 sc0 ls0 ws0">Semantic</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:154.437000px;width:241.993000px;height:19.206000px;background-color:rgba(255,255,255,0.000001);"></div></a><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:120.066000px;width:106.684000px;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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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Reference<span class="_ _9"> </span>Semantic<span class="_ _23"> </span>1/3</div><div class="t m0 x1 hb y104 ff1 fs7 fc0 sc0 ls0 ws0">T<span class="_ _8"></span>echnical<span class="_ _7"> </span>Debt<span class="ff4">:<span class="_ _c"> </span>engineering<span class="_ _13"> </span>cost:<span class="_ _f"> </span>more<span class="_ _d"> </span>coupled,<span class="_ _13"> </span>more<span class="_ _d"> </span>rigid,<span class="_ _13"> </span>fragile<span class="_ _13"> </span>(multiple</span></div><div class="t m0 x1 hb y105 ff4 fs7 fc0 sc0 ls0 ws0">references)</div><div class="t m0 x1 hb y106 ff1 fs7 fc0 sc0 ls0 ws0">Sp<span class="_ _b"></span>ooky<span class="_ _9"> </span>action<span class="ff4">:<span class="_ _f"> </span>different<span class="_ _13"> </span>references<span class="_ _13"> </span>see<span class="_ _13"> </span>an<span class="_ _13"> </span>implicitly<span class="_ _13"> </span>sha<span class="_ _6"></span>red<span class="_ _13"> </span>object.<span class="_ _f"> </span>Mo<span class="_ _b"></span>dification<span class="_ _13"> </span>to<span class="_ _13"> </span>a</span></div><div class="t m0 x1 hb y107 ff4 fs7 fc0 sc0 ls0 ws0">reference<span class="_ _13"> </span>affects<span class="_ _13"> </span>the<span class="_ _13"> </span>other<span class="_ _13"> </span>ones</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">36/40</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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Reference<span class="_ _9"> </span>Semantic<span class="_ _23"> </span>2/3</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">Incidental<span class="_ _7"> </span>algorithms<span class="ff4">:<span class="_ _f"> </span>emerges<span class="_ _13"> </span>from<span class="_ _13"> </span>a<span class="_ _13"> </span>comp<span class="_ _b"></span>osition<span class="_ _d"> </span>of<span class="_ _13"> </span>lo<span class="_ _b"></span>cally<span class="_ _13"> </span>defined<span class="_ _13"> </span>b<span class="_ _b"></span>ehavio<span class="_ _e"></span>rs<span class="_ _13"> </span>and</span></div><div class="t m0 x1 hb y61 ff4 fs7 fc0 sc0 ls0 ws0">with<span class="_ _13"> </span>no<span class="_ _13"> </span>explicit<span class="_ _13"> </span>enco<span class="_ _b"></span>ding<span class="_ _d"> </span>in<span class="_ _13"> </span>the<span class="_ _13"> </span>program.<span class="_ _f"> </span>References<span class="_ _13"> </span>a<span class="_ _6"></span>re<span class="_ _13"> </span>connection<span class="_ _13"> </span>b<span class="_ _b"></span>et<span class="_ _6"></span>w<span class="_ _6"></span>een<span class="_ _13"> </span>dynamic</div><div class="t m0 x1 hb y62 ff4 fs7 fc0 sc0 ls0 ws0">objects</div><div class="t m0 x1 hb y108 ff1 fs7 fc0 sc0 ls0 ws0">Visibilit<span class="_ _6"></span>y<span class="_ _7"> </span>brok<span class="_ _e"></span>en<span class="_ _7"> </span>invariant<span class="ff4">:<span class="_ _f"> </span>a<span class="_ _13"> </span>mo<span class="_ _b"></span>dification<span class="_ _d"> </span>to<span class="_ _13"> </span>a<span class="_ _13"> </span>reference<span class="_ _13"> </span>can<span class="_ _13"> </span>have<span class="_ _13"> </span>a<span class="_ _13"> </span>chain<span class="_ _13"> </span>of<span class="_ _13"> </span>actions</span></div><div class="t m0 x1 hb y109 ff4 fs7 fc0 sc0 ls0 ws0">that<span class="_ _13"> </span>reflects<span class="_ _13"> </span>to<span class="_ _13"> </span>the<span class="_ _13"> </span>o<span class="_ _6"></span>riginal<span class="_ _13"> </span>object,<span class="_ _13"> </span>b<span class="_ _6"></span>reaking<span class="_ _13"> </span>the<span class="_ _13"> </span>visibilit<span class="_ _6"></span>y<span class="_ _13"> </span>of<span class="_ _13"> </span>an<span class="_ _13"> </span>action</div><div class="t m0 x1 hb y10a ff1 fs7 fc0 sc0 ls0 ws0">Race<span class="_ _7"> </span>conditions<span class="ff4">:<span class="_ _c"> </span>spo<span class="_ _b"></span>oky<span class="_ _13"> </span>action<span class="_ _13"> </span>b<span class="_ _b"></span>et<span class="_ _6"></span>w<span class="_ _6"></span>een<span class="_ _13"> </span>different<span class="_ _13"> </span>threads</span></div><div class="t m0 x1 hd y10b ff6 fs7 fc0 sc0 ls0 ws0">Values<span class="_"> </span>-<span class="_"> </span>Safety,<span class="_"> </span>Regularity,<span class="_"> </span>Independence,<span class="_"> </span>and<span class="_"> </span>the<span class="_"> </span>Future<span class="_"> </span>of</div><div class="t m0 x1 hb y10c ff6 fs7 fc0 sc0 ls0 ws0">Programming<span class="ff4">,<span class="_ _13"> </span><span class="ffa">Dave<span class="_ _13"> </span>Ab<span class="_ _6"></span>rahams<span class="ff4">,<span class="_ _13"> </span>CppCon22</span></span></span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">37/40</div><a class="l" href="https://github.com/CppCon/CppCon2022/blob/main/Presentations/CPPCon-Values.pdf"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:36.348000px;width:398.843000px;height:10.952000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://github.com/CppCon/CppCon2022/blob/main/Presentations/CPPCon-Values.pdf"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:20.767000px;width:197.477000px;height:11.992000px;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,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"/><div class="t m0 x4 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">Reference<span class="_ _9"> </span>Semantic<span class="_ _23"> </span>3/3</div><div class="t m0 x1 hb y60 ff1 fs7 fc0 sc0 ls0 ws0">Surp<span class="_ _6"></span>rise<span class="_ _7"> </span>mutation<span class="ff4">:<span class="_ _c"> </span>invisible<span class="_ _d"> </span>coupling<span class="_ _13"> </span>intro<span class="_ _b"></span>duced<span class="_ _13"> </span>b<span class="_ _6"></span>y<span class="_ _13"> </span>involunta<span class="_ _6"></span>ry<span class="_ _13"> </span>dep<span class="_ _b"></span>endencies</span></div><div class="t m0 x8 ha y10d ff11 fs6 fc7 sc0 ls0 ws0">void<span class="_ _f"> </span><span class="ff9 fc4">offset<span class="fc0">(</span></span>int<span class="ff9 fc8">&<span class="_ _f"> </span><span class="fc0">x,<span class="_ _f"> </span></span></span><span class="fcb">const<span class="_ _f"> </span></span>int<span class="ff9 fc8">&<span class="_ _f"> </span><span class="fc0">delta)<span class="_ _c"> </span>{<span class="_ _9"> </span>x<span class="_ _f"> </span></span>+=<span class="_ _f"> </span><span class="fc0">delta;}</span></span></div><div class="t m0 x8 ha y10e ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _f"> </span><span class="ff9 fc0">a<span class="_ _f"> </span><span class="fc8">=<span class="_ _f"> </span>3</span>;</span></div><div class="t m0 x8 ha y10f ff9 fs6 fc0 sc0 ls0 ws0">offset(a,<span class="_ _f"> </span>a);<span class="_ _f"> </span><span class="ff10 fca">//<span class="_ _f"> </span>x=6,<span class="_ _f"> </span>delta=6</span></div><div class="t m0 x8 ha y110 ff9 fs6 fc0 sc0 ls0 ws0">offset(a,<span class="_ _f"> </span>a);<span class="_ _f"> </span><span class="ff10 fca">//<span class="_ _f"> </span>x=12,<span class="_ _f"> </span>delta=12</span></div><div class="t m0 x1 hb y111 ff1 fs7 fc0 sc0 ls0 ws0">Unsafe<span class="_ _7"> </span>op<span class="_ _b"></span>erations<span class="_ _7"> </span>mutation<span class="ff4">:<span class="_ _c"> </span>A<span class="_ _d"> </span>safe<span class="_ _13"> </span>op<span class="_ _b"></span>eration<span class="_ _13"> </span>cannot<span class="_ _13"> </span>cause<span class="_ _13"> </span>undefined<span class="_ _13"> </span>b<span class="_ _b"></span>ehavio<span class="_ _6"></span>r</span></div><div class="t m0 x8 ha y112 ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _f"> </span><span class="ff9 fc0">a<span class="_ _17"> </span><span class="fc8">=<span class="_ _9"> </span>3</span>;</span></div><div class="t m0 x8 ha y113 ff11 fs6 fc7 sc0 ls0 ws0">int<span class="_ _f"> </span><span class="ff9 fc0">b<span class="fc8">&<span class="_ _f"> </span>=<span class="_ _f"> </span></span>a;</span></div><div class="t m0 x8 ha y114 ff9 fs6 fc0 sc0 ls0 ws0">a<span class="_ _f"> </span><span class="fc8">=<span class="_ _f"> </span></span>b<span class="fc8">++</span>;</div><div class="t m0 x1 h9 y115 ff8 fs6 fc0 sc0 ls0 ws0">see<span class="_ _12"> </span>also,<span class="_ _d"> </span>strict<span class="_ _12"> </span>aliasing<span class="_ _d"> </span>violation</div><div class="t m0 x25 h9 y116 ff9 fs6 fc3 sc0 ls0 ws0">Property<span class="_ _f"> </span>Models:<span class="_ _17"> </span>From<span class="_ _9"> </span>Incidental<span class="_ _c"> </span>Algorithms<span class="_ _9"> </span>to<span class="_ _f"> </span>Reusable<span class="_ _c"> </span>Components<span class="ff8">,<span class="_ _12"> </span><span class="ff7">Jarvi<span class="_ _12"> </span>et<span class="_ _12"> </span>al</span>,</span></div><div class="t m0 x1 h9 y117 ff8 fs6 fc3 sc0 ls0 ws0">GPCE’08</div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">38/40</div><a class="l" href="https://sean-parent.stlab.cc/papers/2008-10-gpce/p89-jarvi.pdf"><div class="d m1" style="border-style:none;position:absolute;left:34.722000px;bottom:19.361000px;width:391.471000px;height:11.657000px;background-color:rgba(255,255,255,0.000001);"></div></a><a class="l" href="https://sean-parent.stlab.cc/papers/2008-10-gpce/p89-jarvi.pdf"><div class="d m1" style="border-style:none;position:absolute;left:27.350000px;bottom:4.970000px;width:37.229000px;height:12.000000px;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="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 h7 y7 ff1 fs3 fc1 sc0 ls0 ws0">V<span class="_ _6"></span>alue<span class="_ _9"> </span>Semantic<span class="_ _24"> </span>3/3</div><div class="t m0 x1 hb y118 ff1 fs7 fc0 sc0 ls0 ws0">Regula<span class="_ _6"></span>rit<span class="_ _6"></span>y<span class="ff4">:<span class="_ _f"> </span>x<span class="_ _13"> </span>=<span class="_ _13"> </span>x;<span class="_ _13"> </span>x<span class="_ _13"> </span>==<span class="_ _13"> </span>y<span class="_ _13"> </span><span class="ffe">→<span class="_ _13"> </span></span>y<span class="_ _13"> </span>==<span class="_ _13"> </span>x;<span class="_ _13"> </span>x<span class="_ _13"> </span>==<span class="_ _13"> </span>copy(x);<span class="_ _d"> </span>x<span class="_ _13"> </span>=<span class="_ _13"> </span>y<span class="_ _16"> </span><span class="ffe">⇐<span class="_ _3"></span>⇒<span class="_ _16"> </span><span class="ff4">x<span class="_ _13"> </span>=<span class="_ _13"> </span>copy(x)</span></span></span></div><div class="t m0 x1 hb y119 ff4 fs7 fc0 sc0 ls0 ws0">regula<span class="_ _6"></span>r<span class="_ _13"> </span>data<span class="_ _13"> </span>t<span class="_ _6"></span>yp<span class="_ _b"></span>e<span class="_ _d"> </span>properties:<span class="_ _c"> </span>cop<span class="_ _6"></span>ying,<span class="_ _13"> </span>equalit<span class="_ _6"></span>y<span class="_ _8"></span>,<span class="_ _13"> </span>hashing,<span class="_ _13"> </span>comparison,<span class="_ _d"> </span>assignment,</div><div class="t m0 x1 hb y11a ff4 fs7 fc0 sc0 ls0 ws0">serialization,<span class="_ _13"> </span>differentiation</div><div class="t m0 x1 hb y11b ff4 fs7 fc0 sc0 ls0 ws0">comp<span class="_ _b"></span>osition<span class="_ _d"> </span>of<span class="_ _13"> </span>value<span class="_ _13"> </span>type<span class="_ _13"> </span>is<span class="_ _13"> </span>a<span class="_ _13"> </span>value<span class="_ _13"> </span>type</div><div class="t m0 x1 hb y11c ff1 fs7 fc0 sc0 ls0 ws0">Indep<span class="_ _b"></span>endence<span class="ff4">:<span class="_ _f"> </span>lo<span class="_ _b"></span>cal<span class="_ _13"> </span>and<span class="_ _13"> </span>thread-safe</span></div><div class="t m0 x1 hb y11d ff1 fs7 fc0 sc0 ls0 ws0">value<span class="_ _7"> </span>semantic<span class="_ _7"> </span>in<span class="_ _9"> </span>C++</div><div class="t m0 x25 hb y11e ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">pass-b<span class="_ _6"></span>y-value<span class="_ _13"> </span>gives<span class="_ _13"> </span>callee<span class="_ _13"> </span>an<span class="_ _13"> </span>indep<span class="_ _b"></span>endent<span class="_ _d"> </span>value</span></div><div class="t m0 x25 hb y11f ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">a<span class="_ _13"> </span>return<span class="_ _13"> </span>value<span class="_ _13"> </span>is<span class="_ _13"> </span>indep<span class="_ _b"></span>endent<span class="_ _d"> </span>in<span class="_ _13"> </span>the<span class="_ _13"> </span>caller</span></div><div class="t m0 x25 hb y120 ffc fs7 fc0 sc0 ls0 ws0">•<span class="_ _5"> </span><span class="ff4">a<span class="_ _13"> </span>rvalue<span class="_ _13"> </span>is<span class="_ _13"> </span>indep<span class="_ _b"></span>endent</span></div><div class="t m0 x1f h8 yc ff5 fs5 fc0 sc0 ls0 ws0">39/40</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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