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Robin - Batgirl - Fresh Blood Dc ComicsBill Willingham?Andersen Gabrych?Damion Scott?Ale Garza? Jla World Without Grownups (JLA (DC Comics Unnumbered Paperback)) Dc ComicsTodd Dezago? Outsiders 3 Wanted (Outsiders) Dc ComicsJudd Winick?Carlos D Anda?Dan Jurgens? Cipher 1 (Cipher (Graphic Novels)) DC ComicsNarita Minako? Jsa Justice Be Done (Justice Society of America (Numbered)) Dc ComicsJames M. Robinson?David S. Goyer?Scott Benefiel?Stephen Sadowski?Derec Aucoin? DC The New Frontier (DC The New Frontier) Dc ComicsDarwyn Cooke? Y The Last Man 1 Unmanned (Last Man) Dc ComicsBrian K. Vaughan?Pia Guerra? 100 Bullets The Counterfifth Detective (100 Bullets) Dc ComicsBrian Azzarello?Eduardo Risso? Lex Luthor Man of Steel Dc ComicsBrian Azzarello?Lee Bermejo? Teen Titans Jam - Packed Action (Jam Packed Action) Dc ComicsWildstorm?Ben Abernathy?Tom Long? Batman Chronicles (Batman (Graphic Novels)) Dc ComicsBob Kane? Superman Infinite City (Superman (DC Comics)) Dc ComicsMike Kennedy?Carlos Meglia? DC The New Frontier The New Frontier (Dc New Frontier) Dc ComicsDarwyn Cooke? Wonder Woman Challenge of the Gods (Wonder Woman (Graphic Novels)) Dc ComicsGeorge Perez?Len Wein?Greg Potter?William Moulton Marston? High Roads (High Roads, 1) Dc ComicsScott Lobdell?Leinil Francis Yu? Robin To Kill a Bird (Robin) Dc ComicsBill Willingham? Batgirl Year One (Batgirl) Dc ComicsScott Beatty?Chuck Dixon?Marcos Martin?Alvaro Lopez?Javier Rodriguez?Willie Schubert? Seimaden 2 (Seimaden) DC ComicsHiguri You? Hellblazer Fear Loathing (Hellblazer (Graphic Novels)) Dc ComicsGarth Ennis? Hellblazer Tainted Love (Hellblazer (Graphic Novels)) Dc ComicsGarth Ennis? Seven Soldiers of Victory 1 (Seven Soldiers of Victory Archives) Dc ComicsGrant Morrison?J. H. Williams? Danger Girl Odd Jobs (Danger Girl) Dc ComicsJ. Scott Campbell?Andy Hartnell?Joe Chiodo?
https://w.atwiki.jp/yn0510/pages/14.html
5/13 http //www.css-lecture.com/ をみて基本的なことを学ぶ。 ※ css で画像を表示する際などに path を指定するが、これはcssファイルから見た相対パスを入れなければいけない。 *********************************************************************************************** 5/16 単純にちょっとサイズが小さくないか？ [サイズ設計] 基本は 黄金比 1 1.618 白銀比 1.1.414 幅1,000pxの場合 黄金比 382 618 白銀比 414 586 になる。 ここでは、黄金比で作ってみる！ wrapper 1000px main 618px add 382px ※ width とはmarginを抜いた幅であることに注意する！ [ドットインストール HTMLの基礎] "favicon"なるもの(拡張子は.ico)がある。 これは url の左に表示される小さなアイコンで、ブックマークされた際にも表示されるのでぜひつけたい。 リストタグ ul Unorderd List (箇条書き) ol Orderd List (番号付き) li List Item テーブルタグ tr Table Row th Table Header td Table Data 汎用要素 div 汎用ブロックタグ span 汎用インラインタグ id 一意 class 複数 実体参照 Less Than ( ) Greater Than ( ) [ドットインストール CSSの基礎] セレクタの微妙な違い a, b aまたはb a b aの中のb a b aの子要素のb (直下でなくてはいけない、孫でもだめ) ab aのb (div#main, span.index など) 疑似クラス a hover などのこと。 クラス指定していなくても、何らかの挙動や特殊性から指定する事ができるもの。 セレクタの優先順位 !important をつけると、すべてを無視して最優先する。あまり使わないこと。 要素の位置指定 position プロパティを指定する relative デフォルトの指定と比較して、相対的に。 absolute 親要素と比較して、絶対的に。 fixed ブラウザの枠と比較して。 要素の重なり z-index で指定する。 重なった時に、z-index が小さい方が下に行く。
https://w.atwiki.jp/mrfrtech/pages/56.html
Market Overview The Business Analytics Industry is projected to grow at a substantial CAGR during the forecast period. As per the business analytics market research report, the global market for business analytics is projected to grow swiftly. According to analysts, the enormous volumes of digital data as well as continuous developments in business analytics tools will drive the market growth during the forecast period. The business analytics market research report offers a comprehensive analysis of the global business analytics market and its application, end-user, industry, service, software, deployment, and region segments. The lack of awareness along with reluctance in adoption are the elements that could influence the business analytics market advancement throughout the forecast period. The business analytics market research report by expert analysts is developed to assist organizations in the business analytics market. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/6698 Competitive Analysis Availability of active marketplaces and lucrative offerings by platforms are presumed to drive the business analytics market growth worldwide. The global business analytics market could be challenged by the high cost of storage solutions, nevertheless, organizations in the business analytics market will carry the growth rate forward. The business analytics market research report presents company profiles of major companies active in the business analytics market globally. Furthermore, the global business analytics market report offers an all-inclusive analysis of the market collected from the business analytics market’s primary and secondary sources covering both decision makers and thought leaders. The business analytics market research report highlights such key areas assisting businesses operating in the business analytics market to build better growth strategies. Segmental Overview The global business analytics market has been segmented based on application, end-user, industry, service, software, deployment, and region. Based on deployment, the market for business analytics is segmented based on on-cloud and on-premises. Additionally, the market based on end-user, is segmented into BFSI, education, energy and power, government, healthcare, manufacturing, media and entertainment, retail, telecom, and IT, and other. The global market for business analytics is also covered based on industry segments which is further split into data mining, marketing analytics, supply chain analytics, finance analytics, and others. Based on software, the market for business analytics is segmented based on content analytics, corporate performance management suites, data discovery and visualization software, data warehousing platform, location intelligence, advanced and predictive analytics, and others. Major elements such as continued storage of data could obstruct the business analytics market growth. However, according to the business analytics market research report, the rise of smart data discovery capabilities along with an increase in investments across different industry areas will propel growth throughout the forecast period. The business analytics market is set to register growth at a high CAGR owing to these key factors. The exploration of application, end-user, industry, service, software, deployment, and region segments along with regional markets has been given in the global business analytics market research report. The research analysts studying the business analytics market have put out market forecasts in the business analytics market research report in order to support business analytics market-based companies. The business analytics market research report provides an extensive understanding of the business analytics market based on the information and forecasts till 2023. Regional Analysis North America, Europe, Asia Pacific and the rest of the world regional market for business analytics are predominantly covered in the global business analytics market research report. Country-level business analytics markets spread across North America – the United States, Canada, and Mexico are also covered in the report. In South America – Brazil and other country-level business analytics markets are covered in the report. In Asia-Pacific (APAC) region, the country-level business analytics markets covered are Japan, India, China, and others. The business analytics market research report also explores the regional market for business analytics present in Europe in the United Kingdom, France, Italy, Spain, and Germany, etc. The business analytics market research report also covers regional markets from the rest of the world alongside business analytics markets of Africa and the Middle East. Industry News The flagship Viya artificial intelligence, analytical and data processing platform is now available as a cloud-based, cloud-based carrier, which runs on Azure Cloud Platform, integrated with Azure S services. SAS is the provider of large-scale data analysis applications. Tuesday, SAS said that the latest containerized version of Viya is immediately available for Azure and supports other cloud platforms, such as AWS, Google Cloud Platform and Red Hat OpenShift. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/business-analytics-market-6698 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure 3Market Research Methodology 3.1Research Process 3.2Secondary Research 3.3Primary Research 3.4Forecast Model Continued…. Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
https://w.atwiki.jp/kuni_memo/pages/178.html
画像復元 web上の資料 参考にした論文 準備（テスト用元画像の取得） カメラ：デジカメ 三脚： 一般的なテスト画像 ソフトウェア開発 RAW画像を読み取り 画像処理：ベンチマーク 画像処理 自作自演のピンボケ画像作成 自作自演のピンボケ画像を修復 本物のカメラのピンボケ画像を修復 理論的枠組み 画像劣化モデル 劣化を2次元畳み込みとして近似する Motion Blur(1-D) Atmospheric Turbulance Uniform 2D-Blur radially symmetric approximation for the PSF atmospheric turbulane by aGaussian function アプローチ1：最適化問題(逆問題) アプローチ2：統計的推定 フリーのソフトウェア 画像復元 Habble望遠鏡で有名になった技術。例としてピントのぼやけた画像からきれいな画像を再現する。 興味をもったのでやってみたい。 web上の資料 HST Hubble Space TelescopeでのImage Restoration http //iopscience.iop.org/0266-5611/11/4/003 http //www.anfoworld.com/Lights.html HST Institute http //www.stsci.edu/portal/ Telescope Image Modeling http //www.stsci.edu/hst/observatory/focus/TinyTim 一般のRestoration http //emilywatsonphoto.com/photo-restoration/ 参考にした論文 Nunez, J. Llacer, J.,"A General Baysian Image Reconstoraction Algorithm with Entropy Prior, Preliminary Application to HST Data" http //adsabs.harvard.edu/full/1993PASP..105.1192N Mark R. Nanham, Aggelos K. Katsaggelos,"Digital Image Restoration", IEEE Signal Processing Magazine, March 1997 Rafael Molina, Jorge Nunez, Francisco Jose Cortijo, Javier Mateos,"Imgae Restoration in Astronomy", IEEE Signal Processing Magazine, March 2001 Richardson, "Baysian-based oterative method of image restoration" http //www.cs.duke.edu/courses/fall06/cps258/references/Nonnegative-iteration/Richardson-alg.pdf L.B.Lucy, "Image restoration of high photometric quality" http //www.stsci.edu/stsci/meetings/irw/proceedings/lucyl.html 準備（テスト用元画像の取得） 人工的にピンボケ画像を生成するのも、実用性に欠けるので、実際のカメラでとります。 セッティング完了風景 https //twitter.com/0_9_2_chan/status/437455965432979456/photo/1 カメラ：デジカメ PENTAX K-30 これしかもってません。 RAW画像は、DNG形式 http //ja.wikipedia.org/wiki/Digital_Negative 三脚： 使わないと、撮影時にぶれる。。 買わないと。複数のテスト画像生成ができない。 一般的なテスト画像 Kodak Set http //r0k.us/graphics/kodak/index.html USC SET http //sipi.usc.edu/database HLELVKIN SET http //www.hlevkin.com ソフトウェア開発 RAW画像を読み取り これは、大した問題ではないはず。DNGに関する仕様書が100page余り。。。職場で印刷しよう。 http //www.adobe.com/jp/products/photoshop/extend.displayTab2.html DNGの調査は後回しにして、IrfanViewにまかせることにした。 Memo/SoftWare テスト画像取得 ピンボケとピン合わせ時の画角を同じにして撮影するのは結構面倒です。 通常とピンボケ画像(大きくて載せられないので、JPEGにしてます) 画像処理：ベンチマーク CS2のPhotoshopが試せる？？ 画像処理 自作自演のピンボケ画像作成 自作自演のピンボケ画像を修復 本物のカメラのピンボケ画像を修復 理論的枠組み 画像劣化モデル 劣化を2次元畳み込みとして近似する は、M×Nの原画像 は、i,jにおけるPSF(Point Spread Function) は、加算されるノイズ成分 画像全体にまたがって、均一と考えれば、2次元畳み込みで計算されること等価 Motion Blur(1-D) Atmospheric Turbulance Uniform 2D-Blur radially symmetric approximation for the PSF atmospheric turbulane by aGaussian function アプローチ1：最適化問題(逆問題) 関連：Library/数学/逆問題・数理計画法・最適化 アプローチ2：統計的推定 関連：Library/数学/統計学/Note5_ベイズ統計 フリーのソフトウェア http //iraf.noao.edu/ http //www.eso.org/sci/software/esomidas/ http //www.aips.nrao.edu/index.shtml
https://w.atwiki.jp/eriax/pages/121.html
制限 セクション構造からのアウトライン抽出は HTML 4.4.11.1 に準拠。効率は考慮外。 Microdata アイテム抽出は HTML 5.2.5, 5.5.1 に準拠。ただし絶対 URI のチェックはしない。 どちらも抽出するだけ。 使用例 アウトライン var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文字列として確認 alert(hapi.createOutlineString(document)); // ul 要素を生成 var toc = hapi.createOutlineList(document); Microdata var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文書内のアイテムを JSON で抽出 var items = hapi.findAllItems(document); var jsonData = JSON.stringify(items); ソースコード if ( undefined === typeof Array.prototype.map) { Array.prototype.map = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array(count); for (i = 0; i count; i++) { if (i in this) { result[i] = callbackfn.call(thisArg, this[i], i, this); } } return result; }; } if ( undefined === typeof Array.prototype.indexOf) { Array.prototype.indexOf = function (ceil, floor) { return function (searchElement) { var fromIndex = arguments[1]; var count = this.length; var i = Number(fromIndex) || 0; i = (i 0) ? ceil(i) floor(i); if (i 0) { i += count; } for (; i count; i++) { if (i in this) { if (this[i] === searchElement) { return i; } } } return -1; }; }(Math.ceil, Math.floor); } if ( undefined === typeof Array.prototype.filter) { Array.prototype.filter = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; var v; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array; for (i = 0; i count; i++) { if (i in this) { if (callbackfn.call(thisArg, v = this[i], i, this)) { result[result.length] = v; } } } return result; }; } //////////////////////////////////////////////////////////////////////// var HTML_Outlines_and_Microdata_for_HTML_Browsers = new function () { /*@cc_on@*/ ////////////////////// // Outlines // var isSectioningContent = function () { var Names = /^(? section|nav|article|aside)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isSectioningRoot = function () { var Names = /^(? body|blockquote|details|fieldset|figure|td)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingContent = function () { var Names = /^(? h[1-6]|hgroup)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingGroupContent = function () { var Names = /^hgroup$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var getLevel = function (elt) { if (isHeadingGroupContent(elt)) { return getHeadingGroupLevel(elt); } return getSingleHeadingLevel(elt); }; var getSingleHeadingLevel = function (elt) { return parseInt(elt.tagName.slice(-1)); }; var getHeadingGroupLevel = function (elt) { var maxLevel = Infinity; var currentLevel; var nodes = elt.childNodes; var node; var i; for (i = 0; node = nodes[i++];) { if (isHeadingContent(node)) { currentLevel = getSingleHeadingLevel(node); if (currentLevel maxLevel) { maxLevel = currentLevel; } } } return maxLevel; }; // function HTMLOutlinee(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLOutlinee.create = function (element) { return new HTMLOutlinee({ element element, sections [], parent null }); }; HTMLOutlinee.prototype = new function () { this.element = null; this.sections = null; this.parent = null; this.type = #outlinee ; this.addSection = function (section) { this.sections.push(section); section.outlinee = this; return section; }; this.getFirstSection = function () { return this.sections[0]; }; this.getLastSection = function () { var sections = this.sections; return sections[sections.length - 1]; }; this.toString = function () { return [object HTMLOutlinee] ; }; }; function HTMLSection(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLSection.create = function (heading, parent, outlinee) { return new HTMLSection({ heading heading, parent parent, children [], outlinee outlinee, associated [] }); }; (function () { this.heading = null; this.parent = null; this.children = null; this.outlinee = null; this.associated = null; this.type = #section ; this.appendChild = function (div) { this.children.push(div); div.parent = this; return div; }; this.hasChildSections = function () { var nodes = this.children; var nodeCount = nodes.length; var i; for (i = 0; i nodeCount; i++) { if (nodes[i] instanceof HTMLSection) { return true; } } return false; }; this.getLastSection = function () { var nodes = this.children; var nodeCount = nodes.length; var node; var i; for (i = nodeCount; i 0;) { node = nodes[i -= 1]; if (node instanceof HTMLSection) { return node; } } return null; }; this.associate = function (node) { this.associated.push(node); return node; }; this.toString = function () { return [object HTMLSection] ; }; }).call(HTMLSection.prototype); function createOutlinee(root) { var currentOutlinee = null; var currentSection = null; var stack = []; (function (root, callbackfn) { var node = root; var n; while (node) { callbackfn(node, enter ); if ((n = node.firstChild)) { node = n; continue; } do { callbackfn(node, exit ); if (node == root) { node = null; break; } if ((n = node.nextSibling)) { node = n; break; } } while ((node = node.parentNode)) } })(root, function (node, mode) { var top = stack[stack.length - 1]; if (top === node mode === exit ) { stack.pop(); } else if (isHeadingContent(top)) { ; } else if (mode === enter (isSectioningContent(node) || isSectioningRoot(node))) { if (currentOutlinee !== null currentSection.heading === null) { currentSection.heading = undefined; } if (currentOutlinee !== null) { stack.push(currentOutlinee); } currentOutlinee = HTMLOutlinee.create(node); currentSection = HTMLSection.create(null, currentSection, currentOutlinee); currentOutlinee.addSection(currentSection); } else if (mode === exit (isSectioningContent(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningRoot(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); while (currentSection.hasChildSections()) { currentSection = currentSection.getLastSection(); } currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningContent(node) || isSectioningRoot(node))) { currentSection = currentOutlinee.getFirstSection(); } else if (currentOutlinee === null) {} else if (mode === enter isHeadingContent(node)) { if (currentSection.heading == null) { currentSection.heading = node; } else if (getLevel(node) = getLevel(currentOutlinee.getLastSection().heading)) { currentSection = currentOutlinee.addSection(HTMLSection.create(node, currentSection.parent, currentOutlinee)); } else { var candidateSection = currentSection; while (true) { if (getLevel(node) getLevel(candidateSection.heading)) { currentSection = candidateSection.appendChild(HTMLSection.create(node, candidateSection.parent, currentOutlinee)); break; } var newCandidateSection = candidateSection.parent; candidateSection = newCandidateSection; } } stack.push(node); } else {} if (mode === exit currentSection !== null) { currentSection.associate(node); } }); if (currentOutlinee === null) { return null; } return currentOutlinee; } var getTextContent = function (n) { switch (n.nodeType) { case 1 if (/^img$/i.test(n.nodeName)) { return n.alt; } if (/^input$/i.test(n.nodeName)) { return n.value; } return Array.prototype.concat.apply([], Array.prototype.map.call(n.childNodes, arguments.callee)).join( ); case 3 case 4 return n.data; default return ; } }; (function () { this.isSectioningRoot = function () { return isSectioningRoot(this.element); }; this.hasEffectiveSections = function () { var sections = this.sections; var section; switch (sections.length) { case 0 return false; case 1 return sections[0].isEffectiveSection(); default return true; } }; this.toJSON = function (internal) { var children = []; var sections = this.sections; var sectionCount = sections.length; var i; for (i = 0; i sectionCount; i++) { children = children.concat(sections[i].toJSON(true)); } if (internal !this.isSectioningRoot()) { return children; } return { type #root , context this.element.tagName, children children }; }; }).call(HTMLOutlinee.prototype); (function () { this.isEffectiveSection = function () { return isSectioningContent(this.outlinee.element) || this.hasChildSections() || this.heading !== null; }; this.toJSON = function () { var heading = this.heading; var tagName = this.outlinee.element.tagName; var id; var label; if (heading) { id = heading.id; label = getTextContent(heading); } else { if (heading === null) { label = (anonymous\x20 + tagName + ) ; } else { label = (undefined\x20 + tagName + ) ; } } var children = this.children; var childCount = children.length; var result = []; var i; for (i = 0; i childCount; i++) { result = result.concat(children[i].toJSON(true)); } return { context tagName, type #section , id id, label label, children result }; }; }).call(HTMLSection.prototype); // var outlineToList = function (jsonData, params) { var doc = params.ownerDocument; var list0 = doc.createElement(params.tagName || ul ); var item0 = doc.createElement( li ); var frag0 = doc.createDocumentFragment(); item0.appendChild(doc.createElement( a )).appendChild(doc.createTextNode( _ )); return (function (data) { var list; var item; var frag = frag0.cloneNode(false); var children = data.children; var childCount = children.length; var child; var i; var n; var s; if (childCount 0) { for (i = 0; i childCount; i++) { child = children[i]; item = item0.cloneNode(true); n = item.firstChild; if (child.type === #section ) { if ((s = child.id)) { n.href = # + encodeURIComponent(s); } n.firstChild.data = child.label; frag.appendChild(item); frag.appendChild(arguments.callee(child)); } } list = list0.cloneNode(false); list.appendChild(frag); } else { list = frag; } return list; })(jsonData); }; this.createOutlineList = function (root, doc) { var outlinee = createOutlinee(root); if (!doc) { doc = (root.nodeType === 9) ? root root.ownerDocument; } return outlineToList(outlinee.toJSON(), { ownerDocument doc, tagName ul }); }; var outlineToString = function (jsonData, level) { var tab = 2; if (!level) { level = 1; } var padding; var result = []; if (jsonData.type === #root ) { padding = new Array(level).join( \x20\x20 ) + = ; result.push(padding + [ + jsonData.context + ] ); level += tab; } var children = jsonData.children; var childCount = children.length; var child; var i; var c; if (childCount 0) { padding = new Array(level).join( \x20\x20 ) + + ; for (i = 0; i childCount; i++) { child = children[i]; if (child.type === #section ) { result.push(padding + [ + child.context + ] + child.label.replace(/^\s+|\s+$/g, ).replace(/(? \r\n|\r|\n)+/g, -- ).replace(/\s{2,}/g, \x20 )); } if ((c = arguments.callee(child, level + tab))) { result.push(c); } } } return result.join( \n ); }; this.createOutlineString = function (root) { var outlinee = createOutlinee(root); return outlineToString (outlinee.toJSON()); }; ////////////////////// // Microdata // var findItemProperties = function (root) { var push = Array.prototype.push; var filter = Array.prototype.filter; var isElement = function (n) { return n.nodeType === 1; }; var results = []; var memory = []; var pending = []; results.push(root); push.apply(pending, filter.call(root.childNodes, isElement)); /*@if(1)var a;if((a=root.getAttributeNode( itemref )) a.specified){@else@*/ if (root.hasAttribute( itemref )) { /*@end@*/ var refs; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; if ((refs = root.getAttribute( itemref /*@,0@*/)) (refs = refs.replace(TrailWS, ))) { refs = refs.split(WS); var refCount = refs.length; var doc = root.ownerDocument; var m; var i; for (i = 0; i refCount; i++) { if ((m = doc.getElementById(refs[i]))) { pending.push(m); } } } } while (pending.length 0) { var current = pending.shift(); if (memory.indexOf(current) = 0) { continue; } memory.push(current); /*@if(1)var a;if(!(a=current.getAttributeNode( itemscope ))||!a.specified){@else@*/ if (!current.hasAttribute( itemscope )) { /*@end@*/ push.apply(pending, filter.call(current.childNodes, isElement)); } /*@if(1)var a;if((a=current.getAttributeNode( itemprop )) a.specified){@else@*/ if (current.hasAttribute( itemprop )) { /*@end@*/ results.push(current); } } if ( undefined !== typeof root.compareDocumentPosition) { results.sort(function (e1, e2) { if (e1.isSameNode(e2)) { return 0; } if (0 !== (e1.compareDocumentPosition(e2) Node.DOCUMENT_POSITION_FOLLOWING)) { return -1; } return 1; }); } else { /*@if(1)results.sort(function(e1,e2){return e1.sourceIndex-e2.sourceIndex});@else@*/ var r1 = root.ownerDocument.createRange(); var r2 = root.ownerDocument.createRange(); results.sort(function (e1, e2) { r1.selectNode(e1); r2.selectNode(e2); return r1.compareBoundaryPoints(Range.START_TO_START, r2); }); /*@end@*/ } return results; }; var findAllItems_JSON = function (root) { var result = {}; var items = []; var elems = root.getElementsByTagName( * ); var elemCount = elems.length; var elem; var i; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(elem.nodeType===1 (a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ items.push(getObject_JSON(elem, [])); } } result[ items ] = items; return result; }; var getObject_JSON = function (item, memory) { var result = {}; memory.push(item); /*@if(1)var a;if((a=item.getAttributeNode( itemtype )) a.specified){@else@*/ if (item.hasAttribute( itemtype )) { /*@end@*/ result[ type ] = item.getAttribute( itemtype /*@,0@*/ ); } /*@if(1)var a;if((a=item.getAttributeNode( itemid )) a.specified){@else@*/ if (item.hasAttribute( itemid )) { /*@end@*/ result[ id ] = item.getAttribute( itemid /*@,0@*/ ); } var properties = {}; var elems = findItemProperties(item); var elemCount = elems.length; var elem; var i; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(!(a=elem.getAttributeNode( itemprop ))||!a.specified){@else@*/ if (!elem.hasAttribute( itemprop )) { /*@end@*/ continue; } var names = elem.getAttribute( itemprop /*@,0@*/ ).replace(TrailWS, ); if (!names) { continue; } names = names.split(WS); var value; /*@if(1)var a;if((a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ if (memory.indexOf(elem) 0) { value = getObject_JSON(elem, memory); } else { value = ERROR ; } } else { switch (elem.tagName.toUpperCase()) { case META value = elem.content || ; break; case EMBED case IFRAME case IMG value = elem.src || ; break; case AUDIO case SOURCE case TRACK case VIDEO value = elem.src; if ( undefined === typeof value) { value = elem.getAttribute( src /*@,0@*/ ) || ; } break; case A case AREA case LINK value = elem.href; break; case OBJECT value = elem.data; break; case TIME value = elem.dateTime; if ( undefined === typeof value) { value = elem.getAttribute( datetime /*@,0@*/ ) || ; } break; default /*@if(1)var s;if( undefined !==typeof(s=elem.innerText)){value=s}@else@*/ value = elem.textContent; /*@end@*/ break; } } var nameCount = names.length; var name; var j; for (j = 0; j nameCount; j++) { name = names[j]; if (properties.hasOwnProperty(name)) { properties[name].push(value); } else { properties[name] = [value]; } } } result[ properties ] = properties; return result; }; this.findAllItems = findAllItems_JSON; }; 初出 2011-09-04/05 修正 2012-03-05
https://w.atwiki.jp/mynote/pages/77.html
LaTeX2HTML LaTeXで書いたドキュメントをHTML化するスクリプトです LaTeX2HTML LaTeXで書いたドキュメントをHTML化するスクリプトです latex2htmlのインストール方法（Mac） Nikos Drakosが作ってRoss Moore がプロジェクトを進めているらしいLaTeX2HTML、Perlで書かれているので多くの環境で動くはず、日本語パッチを当てればすごく便利。 http //saftsack.fs.uni-bayreuth.de/~latex2ht http //en.wikipedia.org/wiki/LaTeX2HTML http //takeno.iee.niit.ac.jp/~shige/TeX/latex2html/ltx2html.html Copyright © 1993, 1994, 1995, 1996, Nikos Drakos, Computer Based Learning Unit, University of Leeds. Copyright © 1997, 1998, 1999, Ross Moore, Mathematics Department, Macquarie University, Sydney. latex2htmlのインストール方法（Mac） 端末（ターミナル）でMacport sudo port search latex2html latex2html @2008 (print) Convert LaTeX into HTML. sudo port install latex2html これでインストール出来なければセルフビルド（ソースコードを持ってきて自分でインストールしなければならない） セルフビルド（ログは下記においておきます） http //www20.atwiki.jp/mynote/pages/78.html ./configure make sudo make install
https://w.atwiki.jp/hinanj/pages/32.html
概要 HTMLの日(HTML事件)とは、避難J民がしたらばのバグを利用した悪ふざけによって引き起こされた悲劇である。 当時の様子を再現したサイト が存在する。 2016年11月10日、ID E9oh880cのスレ立てにより、したらば掲示板のトップ画面でHTMLのメタタグがエスケープされてない事が判明。 (https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1478785073/) 簡単に言うとコードを仕込んだスレッドを立てることでサイトの一部レイアウトや仕様を変えられる状態にあったのだ。 翌日の11月11日、これを面白がった避難J民達が次々とコードを仕込みにスレッドを立て、その結果、避難Jのトップ画面は流れるおっちゃんが現れたり、原住民が高速移動したり、ボタンが設置されたり、文字がカラフルになったりクソみたいにデカくなったりと混沌状態になった。 ついにはID 1LISPl3sというクズがポップアップを無限に表示させるコードを仕込んだスレ( https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1478867945/ )を建て、避難Jはブラウザクラッシャーと化した。 したらば運営がこの問題に対策するまで、避難Jでは" "と" "がNGワードになった。 ID E9oh880c 11月10日にHTMLタグの不具合を発見した、パイオニアかつすべての元凶。 同年の7月21日にもHTMLタグスレ「あああ hr 」を建てていたようだが、その時は無効だった模様。 あああ hr https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1469084043/ 1 ： 風吹けば名無し＠なんJ避難所 ：2016/07/21(木) 15 54 03 AvAp8iLw ああああああああああああああああ font color=black size=7 【悲報】したらばのバグ悪化 /font https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1478785073/ 1 ： 風吹けば名無し＠なんJ避難所 ：2016/11/10(木) 22 37 53 E9oh880c 7月にテストした時は無効だったはずなんやけど 今日見たら有効になってたわ ID 1LISPl3s 無限ポップアップのコードを仕込んだスレ(https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1478867945/)を建てたカス。無限ポップアップ以外にもHTMLタグを含んだスレタイのスレを立てており、避難Jの管理人及び住人に多大な迷惑をかけた。 犯行理由については「よさげなタグ見つけたから」と供述している。 ID 1LISPl3sが謝罪するスレ https //jbbs.shitaraba.net/bbs/read_archive.cgi/sports/40235/1478869754/ 3 ： 風吹けば名無し＠なんJ避難所 ：2016/11/11(金) 22 21 18 1LISPl3s よさげなタグ見つけたから他板でテストスレ立てしたつもりだったんです許して 11 ： 風吹けば名無し＠なんJ避難所 ：2016/11/11(金) 23 25 21 1LISPl3s 笑いごとやないで HTMLの日を忘れない https //hinanj-uma.blog.jp/html.html 当時の雰囲気の再現したサイト。流石に無限ポップアップは無効化されている。
https://w.atwiki.jp/araiguma/pages/53.html
frame error html head title CyberLibrarianトップページ /title /head frameset rows="30%,*" frame src="welcome.html" frame src="greeting.html" /frameset /html のように書くのだが、 body /body タグを書いてしまうと表示されない。
https://w.atwiki.jp/hear_br0wn/pages/49.html
Smartfon_Site Mobile_Site 特殊文字 参照：特殊文字(e-words)http //e-words.jp/p/r-htmlentity.html CSS基礎知識1 CSS基礎知識2 参考リンク： HTMLクイックリファレンス http //www.htmq.com/index.htm