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<li class="navelem"><a class="el" href="namespacesrc.html">src</a></li><li class="navelem"><a class="el" href="namespacesrc_1_1interfacebdd.html">interfacebdd</a></li><li class="navelem"><a class="el" href="namespacesrc_1_1interfacebdd_1_1_craft_d_a_o.html">CraftDAO</a></li><li class="navelem"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html">CraftDAO</a></li> </ul>
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</div><!-- top -->
<div class="header">
<div class="summary">
<a href="#pub-methods">Fonctions membres publiques</a> |
<a href="#pub-static-attribs">Attributs publics statiques</a> |
<a href="#pri-methods">Fonctions membres privées</a> |
<a href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o-members.html">Liste de tous les membres</a> </div>
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<div class="title">Référence de la classe src.interfacebdd.CraftDAO.CraftDAO</div> </div>
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Graphe de collaboration de src.interfacebdd.CraftDAO.CraftDAO:</div>
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<table class="memberdecls">
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Fonctions membres publiques</h2></td></tr>
<tr class="memitem:af207971dee6ce4a46606066e28200fbb"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html#af207971dee6ce4a46606066e28200fbb">__init__</a></td></tr>
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<tr class="memitem:af43ea7eae33399f6d1f8738b4942c7e3"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html#af43ea7eae33399f6d1f8738b4942c7e3">insert</a></td></tr>
<tr class="separator:af43ea7eae33399f6d1f8738b4942c7e3"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Attributs publics statiques</h2></td></tr>
<tr class="memitem:a0066fa3f50befe1daea4f22f29fa0fcc"><td class="memItemLeft" align="right" valign="top">dictionary </td><td class="memItemRight" valign="bottom"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html#a0066fa3f50befe1daea4f22f29fa0fcc">MAPPING_COLS</a></td></tr>
<tr class="separator:a0066fa3f50befe1daea4f22f29fa0fcc"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa27a61d97a89798c66c933160c7e7cad"><td class="memItemLeft" align="right" valign="top">dictionary </td><td class="memItemRight" valign="bottom"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html#aa27a61d97a89798c66c933160c7e7cad">MAPPING_FIL</a></td></tr>
<tr class="separator:aa27a61d97a89798c66c933160c7e7cad"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pri-methods"></a>
Fonctions membres privées</h2></td></tr>
<tr class="memitem:a528ec419a166d50adb116d33c20644c9"><td class="memItemLeft" align="right" valign="top">def </td><td class="memItemRight" valign="bottom"><a class="el" href="classsrc_1_1interfacebdd_1_1_craft_d_a_o_1_1_craft_d_a_o.html#a528ec419a166d50adb116d33c20644c9">_createElement</a></td></tr>
<tr class="memdesc:a528ec419a166d50adb116d33c20644c9"><td class="mdescLeft"> </td><td class="mdescRight">Cree un objet de type metier. <a href="#a528ec419a166d50adb116d33c20644c9">Plus de détails...</a><br/></td></tr>
<tr class="separator:a528ec419a166d50adb116d33c20644c9"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<h2 class="groupheader">Documentation des constructeurs et destructeur</h2>
<a class="anchor" id="af207971dee6ce4a46606066e28200fbb"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">def src.interfacebdd.CraftDAO.CraftDAO.__init__ </td>
<td>(</td>
<td class="paramtype"> </td>
<td class="paramname"><em>self</em>)</td><td></td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<h2 class="groupheader">Documentation des fonctions membres</h2>
<a class="anchor" id="a528ec419a166d50adb116d33c20644c9"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="mlabels-left">
<table class="memname">
<tr>
<td class="memname">def src.interfacebdd.CraftDAO.CraftDAO._createElement </td>
<td>(</td>
<td class="paramtype"> </td>
<td class="paramname"><em>self</em>)</td><td></td>
<td></td>
</tr>
</table>
</td>
<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">private</span></span> </td>
</tr>
</table>
</div><div class="memdoc">
<p>Cree un objet de type metier. </p>
</div>
</div>
<a class="anchor" id="af43ea7eae33399f6d1f8738b4942c7e3"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">def src.interfacebdd.CraftDAO.CraftDAO.insert </td>
<td>(</td>
<td class="paramtype"> </td>
<td class="paramname"><em>self</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"> </td>
<td class="paramname"><em>co</em> = <code>None</code>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"> </td>
<td class="paramname"><em>Obj</em> = <code>None</code> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td>
</tr>
</table>
</div><div class="memdoc">
</div>
</div>
<h2 class="groupheader">Documentation des données membres</h2>
<a class="anchor" id="a0066fa3f50befe1daea4f22f29fa0fcc"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="mlabels-left">
<table class="memname">
<tr>
<td class="memname">dictionary src.interfacebdd.CraftDAO.CraftDAO.MAPPING_COLS</td>
</tr>
</table>
</td>
<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span> </td>
</tr>
</table>
</div><div class="memdoc">
<b>Valeur initiale :</b><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> = {<span class="stringliteral">"ID"</span>: <span class="stringliteral">"num"</span>,</div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>  <span class="stringliteral">"NAME"</span>: <span class="stringliteral">"name"</span>}</div>
</div><!-- fragment -->
</div>
</div>
<a class="anchor" id="aa27a61d97a89798c66c933160c7e7cad"></a>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="mlabels-left">
<table class="memname">
<tr>
<td class="memname">dictionary src.interfacebdd.CraftDAO.CraftDAO.MAPPING_FIL</td>
</tr>
</table>
</td>
<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">static</span></span> </td>
</tr>
</table>
</div><div class="memdoc">
<b>Valeur initiale :</b><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> = {<span class="stringliteral">"num"</span>: <span class="stringliteral">"ID"</span>,</div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>  <span class="stringliteral">"name"</span>: <span class="stringliteral">"NAME"</span>}</div>
</div><!-- fragment -->
</div>
</div>
<hr/>La documentation de cette classe a été générée à partir du fichier suivant :<ul>
<li>/home/sacapuces/optraj.istic.univ-rennes1.fr/vagrant/optraj.istic.univ-rennes1.fr/src/interfacebdd/<a class="el" href="_craft_d_a_o_8py.html">CraftDAO.py</a></li>
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Généré le Jeudi Avril 24 2014 13:03:21 pour OPTRAJ par  <a href="http://www.doxygen.org/index.html">
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main/src/main/resources/web/common/controller.html | weeztech/weez-mercury | <polymer-element name="controller-base" hidden>
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media/css/minimalist/style.css | kumar303/jstestnet | html,body{margin:0;padding:0}
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cygwin/perl5.14/html/site/lib/Module/Build/Platform/VOS.html | rwhitworth/precompiled-perl-mods | <?xml version="1.0" ?>
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head>
<!-- saved from url=(0017)http://localhost/ -->
<title>Module::Build::Platform::VOS - Builder class for VOS platforms</title>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<link rev="made" href="mailto:ASSI@cygwin.nonet" />
</head>
<body style="background-color: white">
<table border="0" width="100%" cellspacing="0" cellpadding="3">
<tr><td class="block" style="background-color: #cccccc" valign="middle">
<big><strong><span class="block"> Module::Build::Platform::VOS - Builder class for VOS platforms</span></strong></big>
</td></tr>
</table>
<!-- INDEX BEGIN -->
<div name="index">
<p><a name="__index__"></a></p>
<ul>
<li><a href="#name">NAME</a></li>
<li><a href="#description">DESCRIPTION</a></li>
<li><a href="#author">AUTHOR</a></li>
<li><a href="#see_also">SEE ALSO</a></li>
</ul>
<hr name="index" />
</div>
<!-- INDEX END -->
<p>
</p>
<h1><a name="name">NAME</a></h1>
<p>Module::Build::Platform::VOS - Builder class for VOS platforms</p>
<p>
<a href="#__index__"><small>Back to Top</small></a>
</p>
<hr />
<h1><a name="description">DESCRIPTION</a></h1>
<p>The sole purpose of this module is to inherit from
<code>Module::Build::Base</code>. Please see the <a href="../../../lib/perl5/5.14/Module/Build.html">the Module::Build manpage</a> for the docs.</p>
<p>
<a href="#__index__"><small>Back to Top</small></a>
</p>
<hr />
<h1><a name="author">AUTHOR</a></h1>
<p>Ken Williams <<a href="mailto:kwilliams@cpan.org">kwilliams@cpan.org</a>></p>
<p>
<a href="#__index__"><small>Back to Top</small></a>
</p>
<hr />
<h1><a name="see_also">SEE ALSO</a></h1>
<p><code>perl(1)</code>, Module::Build(3), ExtUtils::MakeMaker(3)</p>
<p><a href="#__index__"><small>Back to Top</small></a></p>
<table border="0" width="100%" cellspacing="0" cellpadding="3">
<tr><td class="block" style="background-color: #cccccc" valign="middle">
<big><strong><span class="block"> Module::Build::Platform::VOS - Builder class for VOS platforms</span></strong></big>
</td></tr>
</table>
</body>
</html>
|
spec/acceptance/complete_application/en.lproj/help/pages/ascii.html.web.html | wincent/walrus | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html401/sgml/loosedtd.html">
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8">
<title>ASCII text encoding</title>
<meta name="author" content="Wincent Colaiuta">
<meta name="author-email" content="win@wincent.com">
<meta name="copyright" content="Copyright 2007-2010 Wincent Coliauta">
<meta name="description" content="">
<link href="../css/base.css" rel="stylesheet" media="all" type="text/css">
</head>
<body>
<a name="ascii" id="ascii"></a>
<div id="banner">
<div id="home_link"><a href="../front_page.html">Hextrapolate Help</a></div>
<div id="index_link"><a href="full_index.html">Index</a></div>
</div>
<div id="main_box">
<div id="icon"><img width="32" height="32" alt="Icon" src="../gfx/icon32.png"></div>
<div id="page_title">
<h1>ASCII text encoding</h1>
</div>
<p><span class="caps">ASCII</span> is a 7-bit text encoding. <span class="caps">ASCII</span> stands for American Standard Code for Information Interchange.</p>
<p>To be valid <span class="caps">ASCII</span>, each character’s value must fall within the range of 0 to 127; this limit is imposed because only 7 bits are used to encode each character. One byte (8 bits) is used to store each character but only the 7 least significant bits may be used: any character with the 8th bit set is not valid <span class="caps">ASCII</span>.</p>
<p>Of the 128 possible characters, 95 are printable (that is, they are visible on the screen with the exception of the space character which appears as a blank space). The printable characters include all lower and uppercase letters of the Roman alphabet, the digits 0 through 9, and various punctuation marks such as <tt>!</tt>, <tt>?</tt> and <tt>/</tt>.</p>
<p>The other 33 characters are non-printable control characters such as tab, backspace and delete.</p>
<div id="see_also">
<h2>See also</h2>
<p><a href="text_encodings.html">text encodings</a></p>
</div>
</div>
</body>
</html>
|
example/autocomplete/autocomplete.html | iuap-design/iuap-design | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
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<link rel="stylesheet" type="text/css" href="../../dist/css/neoui.css">
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<body>
<form>
<p>"预存数据；C++",'Java','Python','JavaScript','C#','C','Jython','Html','html'</p>
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<br/>
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<input id="test1"/><br/>
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<p>最多显示的条目数：默认为-1，设置为1</p>
<input id="autocomplete-maxItemsToShow"/><br/>
<br/>
</form>
<p>minChars:控制智能提示时输入的最少字符数</p>
<form>
<input id="autocomplete-minchars"/><br/>
<br/>
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<p>delay:设置弹出智能提示的延迟时间（单位ms）</p>
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<br/>
</form>
<script src="../../dist/js/neoui.js"></script>
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{
label : 'Java'
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{
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{
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label : 'C#'
},
{
label : 'C'
},
{
label : 'Jython'
},
{
label : 'Html'
},
{
label : 'html'
}
];
new u.Autocomplete({
el:'#test1',
source: sourceValue,
select: function(item){
alert('select');
}
})
</script>
</body>
</html> |
htdocs/templates/pages/case/index.html | AthenaModel/athena | <ar-page page="page">
<h1>Case {{page.caseId}}: {{page.metadata.longname}}</h1>
<div class="panel panel-default">
<div class="panel-body">
<strong>Week:</strong>
{{page.metadata.week + ' (' + page.metadata.tick + ')'}}
<strong>State:</strong>
<span class="label label-primary" ng-class="page.stateClass()">{{page.metadata.state}}
<span class="glyphicon glyphicon-lock" ng-show="page.isLocked()"></span>
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<li ng-class="tab.active('manage')">
<a href ng-click="tab.set('manage')">Manage</a>
</li>
<li ng-class="tab.active('actors')">
<a href ng-click="tab.set('actors')">Actors</a>
</li>
<li ng-class="tab.active('nbhoods')">
<a href ng-click="tab.set('nbhoods')">Neighborhoods</a>
</li>
<li class="dropdown" ng-class="tab.active(['groups', 'civgroups', 'frcgroups', 'orggroups'])">
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</a>
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<a href ng-click="tab.set('groups')">All Groups</a>
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</li>
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<a href ng-click="tab.set('parms')">Model Parameters</a>
</li>
</ul>
</nav>
<div ng-show="tab.active('manage')"
ng-include="'/templates/pages/case/manage.html'"></div>
<div ng-show="tab.active('actors')"
ng-include="'/templates/pages/case/actors.html'"></div>
<div ng-show="tab.active('nbhoods')"
ng-include="'/templates/pages/case/nbhoods.html'"></div>
<div ng-show="tab.active('groups')"
ng-include="'/templates/pages/case/groups.html'"></div>
<div ng-show="tab.active('civgroups')"
ng-include="'/templates/pages/case/civgroups.html'"></div>
<div ng-show="tab.active('frcgroups')"
ng-include="'/templates/pages/case/frcgroups.html'"></div>
<div ng-show="tab.active('orggroups')"
ng-include="'/templates/pages/case/orggroups.html'"></div>
<div ng-show="tab.active('parms')"
ng-include="'/templates/pages/case/parmdb.html'"></div>
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<h1><strong>!English Listening and Pronunciation</strong></h1>
</header>
<p class="body"><h4>ELP: English Listening and Pronunciation</h4>
<ul>
<li>
<p>TODO</p>
</li>
<li>
<p>reference</p>
<ul>
<li><strong><a href="https://www.coursera.org/learn/speak-english-professionally/home/welcome">Speak English Professionally: In Person, Online & On the Phone</a></strong> </li>
</ul>
</li>
</ul>
<h4>intonation</h4>
<ul>
<li>melody - music</li>
<li>
<p>stress </p>
<ul>
<li>the content words </li>
</ul>
</li>
<li>
<p>Rhythm </p>
</li>
</ul>
<h4>pronunciation</h4>
<ul>
<li>
<p>Language has its </p>
<ul>
<li>hear the music in your language</li>
<li>English is a beat-driven language</li>
<li>
<p>how how to beat the rhythms</p>
</li>
<li>
<p>imitate</p>
</li>
</ul>
</li>
<li>
<p>correct the misakes </p>
<ul>
<li>m -> some 放在单词结尾时， 嘴巴闭上后，<strong>喉咙要震动</strong> </li>
<li>n -> none 放在单词结尾时，舌头还保留再前鄂原位置</li>
<li>l -> milk </li>
<li>v -> victor 上牙輕咬下嘴唇</li>
<li>s -> 嘴型 稍微大</li>
<li>ɔ -> 喉咙 张开，</li>
<li>a: -> 喉咙发音</li>
<li>e, æ -> 后面喉咙, æ 更靠后</li>
<li>ei, ai -> 不能漏掉 /i/</li>
<li>au -> 不能漏掉 /u/</li>
<li>t p d k -> </li>
</ul>
</li>
<li>
<p>副音</p>
<ul>
<li><a href="http://www.bilibili.com/video/av2681140/index_7.html">h</a></li>
<li>
<p><a href="http://www.bilibili.com/video/av2681140/index_8.html#page=9">oʊ/əʊ</a> </p>
</li>
<li>
<p><a href="http://rachelsenglish.com/english-pronounce-b-p-consonants/">b, p</a></p>
<ul>
<li>a stop of the airflow, and a release </li>
<li>Stop consonants at the ends of words or syllables are sometimes not released.</li>
<li>book</li>
</ul>
</li>
<li>
<p><strong><a href="https://www.youtube.com/watch?v=zeNsaBwuojg&index=28&list=PLzc5ffj3_Cb5mPVzIFiJelpInJjae8NG2&spfreload=10">t, d</a></strong></p>
<ul>
<li>舌尖抵住上齿龈，然后将舌头摊弹开； <strong>词尾不发出声</strong>， 只舌尖抵住上齿龈再憋气即可 <strong>two</strong></li>
<li>it -a- could -a- be <- notice </li>
</ul>
</li>
<li>
<p><strong><a href="https://www.youtube.com/watch?v=tXJlmLYFzfs&list=PLzc5ffj3_Cb5mPVzIFiJelpInJjae8NG2&index=30">k, g</a></strong></p>
<ul>
<li>双唇微开，<strong>舌后跟轻触口腔软腭</strong>，把气往前推</li>
<li><em>girl</em>， <em>clean, clock</em></li>
</ul>
</li>
<li>
<p>[f] -> 上齒咬下唇，没有爆破 <em>coffee</em> </p>
</li>
<li>[v] -> <em>very</em> </li>
<li>
<p>[θ, ð] -> <strong>舌尖伸出来</strong></p>
</li>
<li>
<p><strong><a href="https://www.youtube.com/watch?v=hvvMmlbs2KI&index=44&list=PLzc5ffj3_Cb5mPVzIFiJelpInJjae8NG2">l</a></strong> </p>
<ul>
<li>舌尖上扬抵住上齿龈</li>
<li>light l （such as like） 是在嘴的前面发音 </li>
<li><a href="http://rachelsenglish.com/dark-l-vs-oh-email-vs-emai-oh/">Dark l</a><ul>
<li>made at the back of the mouth; the back part of the tongue moves back</li>
<li>the tongue pulls back, and might even press down a bit in the back</li>
<li><strong>Dark l（在后面 like apple, special）</strong> <strong>舌尖接触上齿龈</strong></li>
</ul>
</li>
</ul>
</li>
<li>
<p><strong>/n/</strong> 舌尖抵触齿龈， 鼻音</p>
</li>
<li>
<p>/s, z/ -> <strong>sea</strong>; θ, s, d, </p>
</li>
<li>
<p><strong>/∫，ʒ/</strong> -> 嘴唇稍前伸，呈圆形, 送气; <strong>sheets</strong>， <strong>shell</strong>， <strong>sheep</strong></p>
</li>
<li>
<p><strong>/tʃ, dr/</strong> -> 不卷舌， 唇法</p>
</li>
<li>
<p>/ŋ/ -> <strong>thing</strong></p>
</li>
<li>
<p><strong>[r]</strong> -> the middle part of the tongue lifts up to towards the roof of the mouth .
the front part of the tongue is hanging in the middle of the mouth, not touching anything.
-> 舌尖上翘，口型成圆形 <strong>three</strong> <a href="http://rachelsenglish.com/r-consonant/">r</a></p>
</li>
</ul>
</li>
<li>
<p><a href="http://www.yorku.ca/earmstro/ipa/vowels.html">元音</a> </p>
<ul>
<li><a href="https://www.weibo.com/tv/v/HCpID3btn?fid=1034:4391540445924591">American Vowels</a> </li>
<li>{舌高低}x{舌前后}x{唇圆展} </li>
<li>i: -> e -> æ 舌头从高到低（嘴巴张开从小到大） </li>
<li>舌头的最高位置从前到后</li>
<li>
<p>唇從展开到圆型 （从左到右）</p>
<ul>
<li>i: 衣； <strong>eat</strong>, <strong>展唇(stretch your lips back more - smile)</strong>,舌头高，舌前</li>
<li><strong><a href="https://rachelsenglish.com/pronounce-ee-vs-ih-leave-vs-live/">i, i:</a></strong> </li>
<li><strong><a href="http://rachelsenglish.com/pronounce-ee-vs-ih-leave-vs-live/">i</a></strong></li>
<li>/i:/ -> <strong>the tongue stretches up more towards the roof of the mouth.</strong> - open mouth widely </li>
<li>
<p>/i/ -> the tongue is bit more relaxed, <strong>the jaw does drop a little bit more</strong> - don't open mouth widely not stretched into a smile </p>
<ul>
<li><strong><a href="https://www.youtube.com/watch?v=-BAYrt2oER8&list=PLB043E64B8BE05FB7&index=22&feature=plpp_video">i</a></strong></li>
<li><a href="https://www.bilibili.com/video/av2681140?p=8">i, i:</a></li>
</ul>
</li>
<li>
<p>æ： 嘴巴开口大（舌头低）， 舌头最高位位前，唇展开 </p>
</li>
<li>
<p><strong>sit</strong> <strong>sleep</strong> <em>spell</em> <strong>shade</strong></p>
</li>
<li>
<p>/e/ -> lips = slightly open, mostly relaxed, tongue = bottom of mouth<br />
/æ/ -> open your mouth; lips = a little tighter, tongue = bottom of mouth </p>
</li>
<li>
<p>/ə/ <strong>tomatoes</strong> , <strong>letter</strong>, <strong>onion</strong>, <strong>question</strong></p>
</li>
<li>/ər/ - 卷舌， waiter, doctor, reporter</li>
<li>movie</li>
<li>/a:/ <strong>/ʌ/ 嘴张比æ大， 稍微比ʌ圆唇</strong> -> <a href="http://rachelsenglish.com/pronounce-ah-vs-uh/">a, ʌ</a></li>
<li>/ɔ/， 圆唇 </li>
<li><strong><a href="http://www.bilibili.com/video/av2681140/index_10.html">u:, u</a></strong> <ul>
<li>make the lips a bit <strong>tight and forward</strong></li>
</ul>
</li>
<li><strong><a href="http://rachelsenglish.com/english-pronounce-uh-push-vowel/">ʊ</a></strong><ul>
<li><strong>The back of the tongue lifts towards the back of the roof of the mouth.The front of the tongue remains down, but it might be pulled slightly back</strong> .</li>
<li>foot,took, cook, shook, stood, good, look, book,wool, swoosh</li>
<li>wood</li>
<li><a href="https://www.bilibili.com/video/av2681140?p=10">u:, u</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li>
<p>双元音 </p>
<ul>
<li>/e/ 美音里的， 和英音里的/ei/ 一样</li>
<li>/o/ /ɔu/, 和美式的/ɔ/类似，但是嘴稍微闭上一些, from /ɔ/ to /u/, 有点类似英式的/əu/, bowl， woke</li>
<li>/ai/</li>
<li>/au/, from /a/ to /u/</li>
<li>
<p>/ɔi/, point， 不能吞掉／i/</p>
</li>
<li>
<p>[au]</p>
</li>
<li>
<p>[i, ei]</p>
<ul>
<li>/ei/ -> pull your lips back and push top/back of the tongue</li>
</ul>
</li>
<li>
<p><a href="http://www.elementalenglish.com/english-pronunciation-lessons-for-chinese-speakers/">English Pronunciation Lessons for Chinese English Language Learners</a></p>
</li>
<li>
<p><a href="http://www.bbc.co.uk/learningenglish/english/features/pronunciation/otherconst3">n, ŋ</a></p>
</li>
<li>
<p><a href="http://www.bbc.co.uk/learningenglish/english/features/pronunciation/diphthongs3">ai</a></p>
</li>
<li>
<p><a href="http://www.clarityenglish.com/area1/ClearPronunciation/Start.php?prefix=CITY">æ, a:</a></p>
</li>
<li><a href="https://v.qq.com/x/page/r0127l1hvtn.html?__t=1&ptag=1.sina&_out=1">æ</a></li>
</ul>
</li>
<li>
<p>Pronunciation workshop</p>
<ul>
<li><a href="http://www.bilibili.com/video/av2681140/">practice</a></li>
</ul>
</li>
<li>
<p><a href="http://www.clarityenglish.com/area1/ClearPronunciation2/Start.php?prefix=CITY">Consonant clusters</a></p>
</li>
<li>
<p>Consonant Clusters</p>
</li>
</ul>
<h4>English</h4>
<ul>
<li><strong><a href="https://www.coursera.org/learn/speak-english-professionally/home/welcome">Speak English Professionally: In Person, Online & On the Phone</a></strong> </li>
<li><strong><a href="https://www.coursera.org/learn/business-english-vocabulary/home/welcome">English for Effective Business Speaking</a></strong> </li>
<li>
<p><strong><a href="https://www.coursera.org/learn/cross-cultural-communication-business/home/welcome">Business English for Cross-cultural Communication</a></strong> </p>
</li>
<li>
<p><a href="https://www.coursera.org/learn/english-communication-capstone">Take Your English Communication Skills to the Next Level</a></p>
</li>
<li>
<p><a href="http://www.elementalenglish.com/category/1-english-lessons/">English Lessons</a></p>
</li>
<li><a href="http://elss.elc.cityu.edu.hk/ELSS/activities.aspx">English speaking</a></li>
<li><a href="http://www.weibo.com/ttarticle/p/show?id=2309404005596264270260#_0">speaking</a></li>
<li>
<p><a href="http://8drama.com/33506/">Friends</a></p>
</li>
<li>
<p><a href="http://classes.engr.oregonstate.edu/eecs/spring2016/cs519-001/">CS 519-001, Scientific Writing and Presentation</a></p>
</li>
</ul>
<h4>refereence</h4>
<ul>
<li><strong><a href="https://homepage.ntu.edu.tw/~karchung/ELPF21.html">ELP: English Listening and Pronunciation</a></strong> </li>
<li><a href="http://www.bilibili.com/video/av2681140/">Pronunciation Workshop Video Training Program</a></li>
<li><a href="https://www.ilc.cuhk.edu.hk/EN/ENResources/Speaking_Pronun.aspx">cuhk</a></li>
<li><a href="http://ilang.cle.ust.hk/pronunciation/">HKUST</a></li>
<li><a href="https://www.coursera.org/learn/effective-intercultural-communication/home/welcome">Effective Communication</a></li>
<li><a href="https://www.coursera.org/learn/professional-emails-english/home/welcome">Improve Your English Communication Skills</a></li>
<li><a href="https://lagunita.stanford.edu/courses/Medicine/SciWrite./Fall2015/info">Writing in the Sciences</a></li>
<li><a href="https://www.coursera.org/learn/project-management-basics/home/welcome">essential skills for the workplace</a></li>
<li><a href="https://www.coursera.org/specializations/improve-english">Improve Your English Communication Skills</a></li>
<li><a href="https://www.coursera.org/specializations/business-english">English Skills for Business</a></li>
</ul></p>
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chpl/chpl-etl/javadoc/org/jetel/metadata/DataFieldFormatType.html | chris-watson/chpl-api | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<h2 title="Enum DataFieldFormatType" class="title">Enum DataFieldFormatType</h2>
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<li>java.lang.Object</li>
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<li>java.lang.Enum<<a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a>></li>
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<li>org.jetel.metadata.DataFieldFormatType</li>
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<pre>public enum <span class="strong">DataFieldFormatType</span>
extends java.lang.Enum<<a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a>></pre>
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<td class="colOne"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#BINARY">BINARY</a></strong></code> </td>
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<td class="colOne"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#EXCEL">EXCEL</a></strong></code> </td>
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<td class="colOne"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#ISO_8601">ISO_8601</a></strong></code> </td>
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<td class="colOne"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#JAVA">JAVA</a></strong></code> </td>
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<td class="colOne"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#JODA">JODA</a></strong></code> </td>
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<td class="colFirst"><code>static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a></code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#DEFAULT_FORMAT_TYPE">DEFAULT_FORMAT_TYPE</a></strong></code> </td>
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<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#getFormat(java.lang.String)">getFormat</a></strong>(java.lang.String formatString)</code>
<div class="block">A method that extract a formatting string with respect to matching
prefix of formatString.</div>
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<tr class="rowColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#getFormatPrefix()">getFormatPrefix</a></strong>()</code> </td>
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<td class="colFirst"><code>java.lang.String</code></td>
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<td class="colFirst"><code>static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a></code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#getFormatType(java.lang.String)">getFormatType</a></strong>(java.lang.String formatString)</code>
<div class="block">Returns a type of format extracted from a prefix of a formatting string.</div>
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<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#getLongName()">getLongName</a></strong>()</code> </td>
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<td class="colFirst"><code>static boolean</code></td>
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<td class="colFirst"><code>java.lang.String</code></td>
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<td class="colFirst"><code>static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a></code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#valueOf(java.lang.String)">valueOf</a></strong>(java.lang.String name)</code>
<div class="block">Returns the enum constant of this type with the specified name.</div>
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<td class="colFirst"><code>static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a>[]</code></td>
<td class="colLast"><code><strong><a href="../../../org/jetel/metadata/DataFieldFormatType.html#values()">values</a></strong>()</code>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> JAVA</pre>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> JODA</pre>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> ISO_8601</pre>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> EXCEL</pre>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> BINARY</pre>
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<pre>public static final <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> DEFAULT_FORMAT_TYPE</pre>
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<pre>public static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a>[] values()</pre>
<div class="block">Returns an array containing the constants of this enum type, in
the order they are declared. This method may be used to iterate
over the constants as follows:
<pre>
for (DataFieldFormatType c : DataFieldFormatType.values())
System.out.println(c);
</pre></div>
<dl><dt><span class="strong">Returns:</span></dt><dd>an array containing the constants of this enum type, in
the order they are declared</dd></dl>
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<pre>public static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> valueOf(java.lang.String name)</pre>
<div class="block">Returns the enum constant of this type with the specified name.
The string must match <i>exactly</i> an identifier used to declare an
enum constant in this type. (Extraneous whitespace characters are
not permitted.)</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>name</code> - the name of the enum constant to be returned.</dd>
<dt><span class="strong">Returns:</span></dt><dd>the enum constant with the specified name</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>java.lang.IllegalArgumentException</code> - if this enum type has no constant
with the specified name</dd>
<dd><code>java.lang.NullPointerException</code> - if the argument is null</dd></dl>
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<h4>getFormatPrefix</h4>
<pre>public java.lang.String getFormatPrefix()</pre>
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<pre>public java.lang.String getFormatPrefixWithDelimiter()</pre>
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<pre>public static <a href="../../../org/jetel/metadata/DataFieldFormatType.html" title="enum in org.jetel.metadata">DataFieldFormatType</a> getFormatType(java.lang.String formatString)</pre>
<div class="block">Returns a type of format extracted from a prefix of a formatting string.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>formatString</code> - </dd>
<dt><span class="strong">Returns:</span></dt><dd>format type for non-empty formatString, null for null or empty formatString</dd></dl>
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<h4>getFormat</h4>
<pre>public java.lang.String getFormat(java.lang.String formatString)</pre>
<div class="block">A method that extract a formatting string with respect to matching
prefix of formatString.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>formatString</code> - </dd>
<dt><span class="strong">Returns:</span></dt><dd>Formatting string with respect to a format type.
When an instance of DataFieldFormatType does not match a format type detected
from a formatString prefix, it either returns an empty string or tries to
convert the formatting string to a desired format type.</dd></dl>
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src/styles/facets.css | hostilefork/hack2unify | .facet-pane-heading {
font-size: 120%;
font-weight: bold;
margin-top: 2em;
}
.facet-pane-controls {
font-weight: bold;
text-align: right;
margin-bottom: 1em;
border-top: 1px solid #B8B8DB;
padding-top: 2px;
}
.facet-pane-status-section {
padding: 10px;
text-align: center;
color: #888;
}
.facet-pane-status-section img {
vertical-align: middle;
}
.facet-pane-add-filter-section {
display: none;
margin-top: 2em;
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.facet-pane-add-filter-section-heading {
font-weight: bold;
cursor: pointer;
background: #eee;
padding: 5px;
}
.facet-pane-add-filter-section-heading img {
vertical-align: middle;
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.facet-pane-add-filter-section-body {
padding: 2px;
padding-left: 20px;
border: 1px solid #ccc;
height: 20em;
overflow: auto;
}
.facet-pane-add-filter {
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color: #aaa;
font-size: 80%;
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.facet {
margin-bottom: 1em;
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}
.facet-header-label {
font-weight: bold;
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experiments/layout.html | rctk/rctk | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta http-equiv="content-type" content="text/html;charset=utf-8" />
<title>jwin</title>
<link type="text/css" href="static/jqueryui/themes/base/ui.all.css" rel="stylesheet" />
<script type="text/javascript" src="static/jquery/jquery-1.3.2.min.js"></script>
<script type="text/javascript" src="static/jqueryui/ui/ui.core.js"></script>
<script type="text/javascript" src="static/jqueryui/ui/ui.draggable.js"></script>
<script type="text/javascript" src="static/jqueryui/ui/ui.resizable.js"></script>
<script type="text/javascript" src="static/jqueryui/ui/ui.dialog.js"></script>
<script type="text/javascript" src="static/plugins/jquery.sizes.js"></script>
<script type="text/javascript" src="static/plugins/jlayout.grid.js"></script>
<script type="text/javascript" src="static/plugins/jlayout.border.js"></script>
<script type="text/javascript" src="static/plugins/jlayout.flexgrid.js"></script>
<script type="text/javascript" src="static/plugins/jlayout.flow.js"></script>
<script type="text/javascript" src="static/plugins/jquery.jlayout.js"></script>
<script type="text/javascript" src="static/jwin.js"></script>
<style>
.c {
background-color: rgb(220,220,220);
border: 1px solid rgb(200,200,200);
text-align: center;
width: 100px;
height: 100px;
display: inline-block;
}
</style>
<script type="text/javascript">
$(document).ready(function(){
//boot_jwin();
$("#my-container").layout({
type: "grid",
resize: true
});
$("#bla").click(function() {
$("#my-container").layout({
type: "border",
resize: true
});
});
});
</script>
</head>
<body>
<div id="my-container">
<div class="c center">One</div>
<div class="c south">Two</div>
<div class="c north">Three</div>
<div class="c east">Four</div>
<div class="c west">Five</div>
</div>
<button id="bla">Verander</button>
</body>
</html>
|
deps/asio-1.10.1/doc/asio/reference/buffer_cast/overload1.html | laeotropic/HTTP-Proxy | <html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=US-ASCII">
<title>buffer_cast (1 of 2 overloads)</title>
<link rel="stylesheet" href="../../../boostbook.css" type="text/css">
<meta name="generator" content="DocBook XSL Stylesheets V1.75.2">
<link rel="home" href="../../../index.html" title="Asio">
<link rel="up" href="../buffer_cast.html" title="buffer_cast">
<link rel="prev" href="../buffer_cast.html" title="buffer_cast">
<link rel="next" href="overload2.html" title="buffer_cast (2 of 2 overloads)">
</head>
<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
<table cellpadding="2" width="100%"><tr><td valign="top"><img alt="asio C++ library" width="250" height="60" src="../../../asio.png"></td></tr></table>
<hr>
<div class="spirit-nav">
<a accesskey="p" href="../buffer_cast.html"><img src="../../../prev.png" alt="Prev"></a><a accesskey="u" href="../buffer_cast.html"><img src="../../../up.png" alt="Up"></a><a accesskey="h" href="../../../index.html"><img src="../../../home.png" alt="Home"></a><a accesskey="n" href="overload2.html"><img src="../../../next.png" alt="Next"></a>
</div>
<div class="section">
<div class="titlepage"><div><div><h4 class="title">
<a name="asio.reference.buffer_cast.overload1"></a><a class="link" href="overload1.html" title="buffer_cast (1 of 2 overloads)">buffer_cast (1
of 2 overloads)</a>
</h4></div></div></div>
<p>
Cast a non-modifiable buffer to a specified pointer to POD type.
</p>
<pre class="programlisting"><span class="keyword">template</span><span class="special"><</span>
<span class="keyword">typename</span> <span class="identifier">PointerToPodType</span><span class="special">></span>
<span class="identifier">PointerToPodType</span> <span class="identifier">buffer_cast</span><span class="special">(</span>
<span class="keyword">const</span> <span class="identifier">mutable_buffer</span> <span class="special">&</span> <span class="identifier">b</span><span class="special">);</span>
</pre>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><div class="copyright-footer">Copyright © 2003-2013 Christopher M. Kohlhoff<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
</p>
</div></td>
</tr></table>
<hr>
<div class="spirit-nav">
<a accesskey="p" href="../buffer_cast.html"><img src="../../../prev.png" alt="Prev"></a><a accesskey="u" href="../buffer_cast.html"><img src="../../../up.png" alt="Up"></a><a accesskey="h" href="../../../index.html"><img src="../../../home.png" alt="Home"></a><a accesskey="n" href="overload2.html"><img src="../../../next.png" alt="Next"></a>
</div>
</body>
</html>
|
core/server/Samples/CIDE/Help/RColumnManager.SortIndicatorType.html | Devronium/ConceptApplicationServer | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head>
<title>RColumnManager.SortIndicatorType</title>
<link href="css/style.css" rel="stylesheet" type="text/css">
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" >
</head>
<body bgcolor="#ffffff">
<table border="0" width="100%" bgcolor="#F0F0FF">
<tr>
<td>Concept Framework 2.2 documentation</td>
<td align="right"><a href="index.html">Contents</a> | <a href="index_fun.html">Index</a></td>
</tr>
</table>
<h2><a href="RColumnManager.html">RColumnManager</a>.SortIndicatorType</h2>
<table border="0" cellspacing="0" cellpadding="0" width="500" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr bgcolor="#f0f0f0">
<td><i>Name</i></td>
<td><i>Type</i></td>
<td><i>Access</i></td>
<td><i>Version</i></td>
<td><i>Deprecated</i></td>
</tr>
<tr bgcolor="#fafafa">
<td><b>SortIndicatorType</b></td>
<td>property</td>
<td>public</td>
<td>version 1.0</td>
<td>no</td>
</tr>
</table>
<br />
<b>Prototype:</b><br />
<table bgcolor="#F0F0F0" width="100%" style="border-style:solid;border-width:1px;border-color:#D0D0D0;"><tr><td><b>Read/Write property SortIndicatorType[=SI_ASCENDING | SI_DESCENDING]</b></td></tr></table>
<br />
<br />
<b>Description:</b><br />
<table width="100%" bgcolor="#FAFAFF" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr><td>
Sets or gets the direction of the sort indicator arrow. If <a href="RColumnManager.SortIndicator.html">SortIndicator</a> property is set to false, this property has no effect.
</td></tr>
</table>
<br />
<b>Returns:</b><br />
Returns the direction of the sort indicator arrow.
<br />
<br />
<!--
<p>
<a href="http://validator.w3.org/check?uri=referer"><img
src="http://www.w3.org/Icons/valid-html40"
alt="Valid HTML 4.0 Transitional" height="31" width="88" border="0"></a>
<a href="http://jigsaw.w3.org/css-validator/">
<img style="border:0;width:88px;height:31px"
src="http://jigsaw.w3.org/css-validator/images/vcss"
alt="Valid CSS!" border="0"/>
</a>
</p>
-->
<table bgcolor="#F0F0F0" width="100%"><tr><td>Documented by Eduard Suica, generation time: Sun Jan 27 18:15:07 2013
GMT</td><td align="right">(c)2013 <a href="http://www.devronium.com">Devronium Applications</a></td></tr></table>
</body>
</html> |
core/server/Samples/CIDE/Help/VisibleRemoteObject.DropSite.html | Devronium/ConceptApplicationServer | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head>
<title>VisibleRemoteObject.DropSite</title>
<link href="css/style.css" rel="stylesheet" type="text/css">
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" >
</head>
<body bgcolor="#ffffff">
<table border="0" width="100%" bgcolor="#F0F0FF">
<tr>
<td>Concept Framework 2.2 documentation</td>
<td align="right"><a href="index.html">Contents</a> | <a href="index_fun.html">Index</a></td>
</tr>
</table>
<h2><a href="VisibleRemoteObject.html">VisibleRemoteObject</a>.DropSite</h2>
<table border="0" cellspacing="0" cellpadding="0" width="500" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr bgcolor="#f0f0f0">
<td><i>Name</i></td>
<td><i>Type</i></td>
<td><i>Access</i></td>
<td><i>Version</i></td>
<td><i>Deprecated</i></td>
</tr>
<tr bgcolor="#fafafa">
<td><b>DropSite</b></td>
<td>property</td>
<td>public</td>
<td>version 1.0</td>
<td>no</td>
</tr>
</table>
<br />
<b>Prototype:</b><br />
<table bgcolor="#F0F0F0" width="100%" style="border-style:solid;border-width:1px;border-color:#D0D0D0;"><tr><td><b>Read/Write property DropSite [=true|false]</b></td></tr></table>
<br />
<br />
<b>Description:</b><br />
<table width="100%" bgcolor="#FAFAFF" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr><td>
When this property is set to true, a control can receive <a href="VisibleRemoteObject.Dragable.html">Dragable</a> objects.
</td></tr>
</table>
<br />
<b>Returns:</b><br />
This property returns true if a <a href="VisibleRemoteObject.Dragable.html">Dragable</a> control can be dropped on its surface.
<br />
<br />
<!--
<p>
<a href="http://validator.w3.org/check?uri=referer"><img
src="http://www.w3.org/Icons/valid-html40"
alt="Valid HTML 4.0 Transitional" height="31" width="88" border="0"></a>
<a href="http://jigsaw.w3.org/css-validator/">
<img style="border:0;width:88px;height:31px"
src="http://jigsaw.w3.org/css-validator/images/vcss"
alt="Valid CSS!" border="0"/>
</a>
</p>
-->
<table bgcolor="#F0F0F0" width="100%"><tr><td>Documented by Eduard Suica, generation time: Sun Jan 27 18:15:02 2013
GMT</td><td align="right">(c)2013 <a href="http://www.devronium.com">Devronium Applications</a></td></tr></table>
</body>
</html> |
core/server/Samples/CIDE/Help/standard.graph.imagemagick.MagickPosterizeImage.html | Devronium/ConceptApplicationServer | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html>
<head>
<title>standard.graph.imagemagick.MagickPosterizeImage</title>
<link href="css/style.css" rel="stylesheet" type="text/css">
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" >
</head>
<body bgcolor="#ffffff">
<table border="0" width="100%" bgcolor="#F0F0FF">
<tr>
<td>Concept Framework 2.2 documentation</td>
<td align="right"><a href="index.html">Contents</a> | <a href="index_fun.html">Index</a></td>
</tr>
</table>
<h2><a href="standard.graph.imagemagick.html">standard.graph.imagemagick</a>.MagickPosterizeImage</h2>
<table border="0" cellspacing="0" cellpadding="0" width="500" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr bgcolor="#f0f0f0">
<td><i>Name</i></td>
<td><i>Version</i></td>
<td><i>Deprecated</i></td>
</tr>
<tr bgcolor="#fafafa">
<td><b>MagickPosterizeImage</b></td>
<td>version 2</td>
<td>no</td>
</tr>
</table>
<br />
<b>Prototype:</b><br />
<table bgcolor="#F0F0F0" width="100%" style="border-style:solid;border-width:1px;border-color:#D0D0D0;"><tr><td><b>number MagickPosterizeImage(handler oParam1, number nParam2, number nParam3);</b></td></tr></table>
<br />
<b>Parameters:</b><br />
<table bgcolor="#FFFFFF" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr>
<td>
<i>oParam1</i>
</td>
<td>
handler
</td>
</tr>
<tr>
<td>
<i>nParam2</i>
</td>
<td>
number
</td>
</tr>
<tr>
<td>
<i>nParam3</i>
</td>
<td>
number
</td>
</tr>
</table>
<br />
<b>Description:</b><br />
<table width="100%" bgcolor="#FAFAFF" style="border-style:solid;border-width:1px;border-color:#D0D0D0;">
<tr><td>
TODO: Document this
</td></tr>
</table>
<br />
<b>Returns:</b><br />
Return number
<br />
<br />
<!--
<p>
<a href="http://validator.w3.org/check?uri=referer"><img
src="http://www.w3.org/Icons/valid-html40"
alt="Valid HTML 4.0 Transitional" height="31" width="88" border="0"></a>
<a href="http://jigsaw.w3.org/css-validator/">
<img style="border:0;width:88px;height:31px"
src="http://jigsaw.w3.org/css-validator/images/vcss"
alt="Valid CSS!" border="0"/>
</a>
</p>
-->
<table bgcolor="#F0F0F0" width="100%"><tr><td>Documented by Devronium Autodocumenter Alpha, generation time: Sun Jan 27 18:15:32 2013
GMT</td><td align="right">(c)2013 <a href="http://www.devronium.com">Devronium Applications</a></td></tr></table>
</body>
</html> |
bindinator/bindinator.css | cooperlees/bindinator | body {
font-family: Verdana, Geneva, Arial, helvetica, sans-serif;
font-size: 12x;
}
td {
font-family: Verdana, Geneva, Arial, helvetica, sans-serif;
font-size: 12x;
}
th {
font-family: Verdana, Geneva, Arial, helvetica, sans-serif;
font-size: 12x;
}
a:link { text-decoration: none; font-weight: bold; }
a:visited { text-decoration: none; font-weight: bold; }
a:active { text-decoration: none; font-weight: bold; }
a:hover { text-decoration: underline; font-weight: bold; }
.style1 {
font-size: 18px;
font-weight: bold;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style2 {
font-size: 14px;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style3 {
font-size: 12px;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style4 {
font-size: 12px;
font-weight: bold;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style5 {
font-size: 10px;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style6 {
font-size: 10px;
font-weight: bold;
font-family: Verdana, Arial, Helvetica, sans-serif;
}
.style7 {
font-size: 10px;
font-family: Verdana, Arial, Helvetica, sans-serif
}
|
Library/MOC-V/Core/SecureKernel/Vendor/PhpSecLib/0.3.9/vendor/phing/phing/docs/docbook5/en/output/chunkhtml/ReflexiveTask.html | TheTypoMaster/SPHERE-Framework | <html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>B.35 ReflexiveTask</title>
<link rel="stylesheet" type="text/css" href="book.css">
<meta name="generator" content="DocBook XSL Stylesheets V1.78.1">
<link rel="home" href="index.html" title="Phing User Guide">
<link rel="up" href="app.coretasks.html" title="Appendix B. Core tasks">
<link rel="prev" href="Record.html" title="B.34 Record">
<link rel="next" href="ResolvePathTask.html" title="B.36 ResolvePathTask">
</head>
<body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF">
<div class="navheader">
<table width="100%" summary="Navigation header">
<tr>
<th colspan="3" align="center">B.35 ReflexiveTask</th>
</tr>
<tr>
<td width="20%" align="left"><a accesskey="p" href="Record.html">Prev</a> </td>
<th width="60%" align="center">Appendix B. Core tasks</th>
<td width="20%" align="right"> <a accesskey="n" href="ResolvePathTask.html">Next</a></td>
</tr>
</table>
<hr>
</div>
<div class="sect1">
<div class="titlepage">
<div>
<div><h2 class="title" style="clear: both"><a name="ReflexiveTask"></a>B.35 ReflexiveTask </h2></div>
</div>
</div>
<p>The <code class="literal">ReflexiveTask</code> performs operations on files. It is essentially a
convenient way to transform (using filter chains) files without copying them.</p>
<div class="table"><a name="idp50612256"></a>
<p class="formal-object-title"><span class="label">Table B.35: </span><span class="title">Attributes</span></p>
<div class="table-contents">
<table summary="Attributes" border="1">
<colgroup>
<col class="name">
<col class="type">
<col class="description">
<col class="default">
<col class="required">
</colgroup>
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Description</th>
<th>Default</th>
<th>Required</th>
</tr>
</thead>
<tbody>
<tr>
<td><code class="literal">file</code></td>
<td><code class="literal">String</code></td>
<td>A single file to be processed.</td>
<td>n/a</td>
<td>Yes (unless <fileset> provided)</td>
</tr>
</tbody>
</table>
</div>
</div>
<br class="table-break">
<div class="sect2">
<div class="titlepage">
<div>
<div><h3 class="title"><a name="idp50626192"></a>B.35.1 Examples</h3></div>
</div>
</div>
<pre class="programlisting"><reflexive>
<fileset dir=".">
<include pattern="*.html">
</fileset>
<filterchain>
<replaceregexp>
<regexp pattern="\r(\n)" replace="\1"/>
</replaceregexp>
</filterchain>
</reflexive></pre>
</div>
<div class="sect2">
<div class="titlepage">
<div>
<div><h3 class="title"><a name="idp50627888"></a>B.35.2 Supported Nested Tags:</h3></div>
</div>
</div>
<div class="itemizedlist">
<ul class="itemizedlist" style="list-style-type: disc; ">
<li class="listitem">
<p><code class="literal"><a class="link" href="FileSet.html" title="D.3 FileSet">fileset</a></code>
</p>
</li>
<li class="listitem">
<p><code class="literal"><a class="link" href="app.corefilters.html"
title="Appendix E. Core filters">filterchain</a></code></p>
</li>
</ul>
</div>
</div>
</div>
<div class="navfooter">
<hr>
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slick_dev/trunk/Slick/javadoc/org/newdawn/slick/package-summary.html | SenshiSentou/SourceFight | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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org.newdawn.slick (Slick - The 2D Library)
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Package org.newdawn.slick
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<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/ControlledInputReciever.html" title="interface in org.newdawn.slick">ControlledInputReciever</A></B></TD>
<TD>Description of any class capable of recieving and controlling it's own
reception of input
You'll shouldn't really need to implement this one for your self, use one of the sub-interfaces:
<A HREF="../../../org/newdawn/slick/InputListener.html" title="interface in org.newdawn.slick"><CODE>InputListener</CODE></A>
<A HREF="../../../org/newdawn/slick/MouseListener.html" title="interface in org.newdawn.slick"><CODE>MouseListener</CODE></A>
<A HREF="../../../org/newdawn/slick/KeyListener.html" title="interface in org.newdawn.slick"><CODE>KeyListener</CODE></A>
<A HREF="../../../org/newdawn/slick/ControllerListener.html" title="interface in org.newdawn.slick"><CODE>ControllerListener</CODE></A></TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/ControllerListener.html" title="interface in org.newdawn.slick">ControllerListener</A></B></TD>
<TD>Description of classes capable of responding to controller events</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Font.html" title="interface in org.newdawn.slick">Font</A></B></TD>
<TD>The proprieties of any font implementation</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Game.html" title="interface in org.newdawn.slick">Game</A></B></TD>
<TD>The main game interface that should be implemented by any game being developed
using the container system.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/InputListener.html" title="interface in org.newdawn.slick">InputListener</A></B></TD>
<TD>A listener that will be notified of keyboard, mouse and controller events</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/KeyListener.html" title="interface in org.newdawn.slick">KeyListener</A></B></TD>
<TD>Describes classes capable of responding to key presses</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/MouseListener.html" title="interface in org.newdawn.slick">MouseListener</A></B></TD>
<TD>Description of classes that respond to mouse related input events</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/MusicListener.html" title="interface in org.newdawn.slick">MusicListener</A></B></TD>
<TD>The description of any class needing to recieve notification of changes
to music state.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Renderable.html" title="interface in org.newdawn.slick">Renderable</A></B></TD>
<TD>Description of anything that can be drawn</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/ShapeFill.html" title="interface in org.newdawn.slick">ShapeFill</A></B></TD>
<TD>A filling method for a shape.</TD>
</TR>
</TABLE>
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<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
<B>Class Summary</B></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/AngelCodeFont.html" title="class in org.newdawn.slick">AngelCodeFont</A></B></TD>
<TD>A font implementation that will parse BMFont format font files.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/AngelCodeFont.Glyph.html" title="class in org.newdawn.slick">AngelCodeFont.Glyph</A></B></TD>
<TD>The definition of a single character as defined in the AngelCode file
format</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Animation.html" title="class in org.newdawn.slick">Animation</A></B></TD>
<TD>A utility to hold and render animations</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/AppGameContainer.html" title="class in org.newdawn.slick">AppGameContainer</A></B></TD>
<TD>A game container that will display the game as an stand alone
application.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/AppletGameContainer.html" title="class in org.newdawn.slick">AppletGameContainer</A></B></TD>
<TD>A game container that displays the game as an applet.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/BasicGame.html" title="class in org.newdawn.slick">BasicGame</A></B></TD>
<TD>A basic implementation of a game to take out the boring bits</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/BigImage.html" title="class in org.newdawn.slick">BigImage</A></B></TD>
<TD>An image implementation that handles loaded images that are larger than the
maximum texture size supported by the card.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/CachedRender.html" title="class in org.newdawn.slick">CachedRender</A></B></TD>
<TD>A set of rendering that is cached onto the graphics card and hopefully
is quicker to render.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/CanvasGameContainer.html" title="class in org.newdawn.slick">CanvasGameContainer</A></B></TD>
<TD>A game container that displays the game on an AWT Canvas.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Color.html" title="class in org.newdawn.slick">Color</A></B></TD>
<TD>A simple wrapper round the values required for a colour</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/GameContainer.html" title="class in org.newdawn.slick">GameContainer</A></B></TD>
<TD>A generic game container that handles the game loop, fps recording and
managing the input system</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Graphics.html" title="class in org.newdawn.slick">Graphics</A></B></TD>
<TD>A graphics context that can be used to render primatives to the accelerated canvas provided by LWJGL.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Image.html" title="class in org.newdawn.slick">Image</A></B></TD>
<TD>An image loaded from a file and renderable to the canvas</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/ImageBuffer.html" title="class in org.newdawn.slick">ImageBuffer</A></B></TD>
<TD>A utility for creating images from pixel operations
Expected usage is:
<code>
ImageBuffer buffer = new ImageBuffer(320,200);
buffer.setRGBA(100,100,50,50,20,255);
..</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Input.html" title="class in org.newdawn.slick">Input</A></B></TD>
<TD>A wrapped for all keyboard, mouse and controller input</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Music.html" title="class in org.newdawn.slick">Music</A></B></TD>
<TD>A piece of music loaded and playable within the game.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/PackedSpriteSheet.html" title="class in org.newdawn.slick">PackedSpriteSheet</A></B></TD>
<TD>A sprite sheet packed and defined by the Pacific Software Image Packer available
from:
http://homepage.ntlworld.com/config/imagepacker/</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/SavedState.html" title="class in org.newdawn.slick">SavedState</A></B></TD>
<TD>A utility to allow game setup/state to be stored locally.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/ScalableGame.html" title="class in org.newdawn.slick">ScalableGame</A></B></TD>
<TD>A wrapper to allow any game to be scalable.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/Sound.html" title="class in org.newdawn.slick">Sound</A></B></TD>
<TD>A single sound effect loaded from either OGG or XM/MOD file.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/SpriteSheet.html" title="class in org.newdawn.slick">SpriteSheet</A></B></TD>
<TD>A sheet of sprites that can be drawn individually</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/SpriteSheetFont.html" title="class in org.newdawn.slick">SpriteSheetFont</A></B></TD>
<TD>A font implementation that will use the graphics inside a SpriteSheet for its data.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/TrueTypeFont.html" title="class in org.newdawn.slick">TrueTypeFont</A></B></TD>
<TD>A TrueType font implementation for Slick</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/UnicodeFont.html" title="class in org.newdawn.slick">UnicodeFont</A></B></TD>
<TD>A Slick bitmap font that can display unicode glyphs from a TrueTypeFont.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/UnicodeFont.DisplayList.html" title="class in org.newdawn.slick">UnicodeFont.DisplayList</A></B></TD>
<TD>A simple descriptor for display lists cached within this font</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/XMLPackedSheet.html" title="class in org.newdawn.slick">XMLPackedSheet</A></B></TD>
<TD>A sprite sheet based on an XML descriptor generated from the simple slick tool</TD>
</TR>
</TABLE>
<P>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
<B>Exception Summary</B></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../org/newdawn/slick/SlickException.html" title="class in org.newdawn.slick">SlickException</A></B></TD>
<TD>A generic exception thrown by everything in the library</TD>
</TR>
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app/assets/javascripts/angular/templates/zones/main.html | NREL/t24compliance-web | <div ng-controller="ZonesMainCtrl" ng-class="{'full-height': data.isFullscreen()}">
<div class="row pad-tb-20">
<div class="col-md-12">
<button type="button" ng-hide="applySettingsActive" ng-click="data.addZone()" class="btn btn-success">
<span class="glyphicon glyphicon-plus" aria-hidden="true"></span> Thermal Zone
</button>
<button type="button" ng-show="applySettingsActive" ng-click="data.selectAll(gridApi)" class="btn btn-info">Select All</button>
<button type="button" ng-show="applySettingsActive" ng-click="data.clearAll(gridApi)" class="btn btn-info">Clear All</button>
<div class="pull-right">
<button type="button" ng-hide="applySettingsActive" ng-click="applySettings()" class="btn btn-info" ng-disabled="!selected.zone">Apply Settings</button>
<div class="btn-group" dropdown ng-show="applySettingsActive">
<button type="button" class="btn btn-info" ng-click="confirmApplySettings()">Select Rows to Update...</button>
<button type="button" class="btn btn-info dropdown-toggle" dropdown-toggle>
<span class="caret"></span>
</button>
<ul class="dropdown-menu" role="menu">
<li><a ng-click="resetApplySettings()">Cancel</a></li>
</ul>
</div>
<button type="button" ng-hide="applySettingsActive" ng-click="data.deleteZone(selected, gridApi)" class="btn btn-danger" ng-disabled="!selected.zone">Delete</button>
<button type="button" ng-hide="data.isFullscreen()" ng-click="data.setFullscreen(true)" class="btn btn-link" title="Fullscreen"><i class="fa fa-arrows-alt"></i></button>
<button type="button" ng-show="data.isFullscreen()" ng-click="data.setFullscreen(false)" class="btn btn-link" title="Restore"><i class="fa fa-compress"></i></button>
</div>
</div>
</div>
<div ui-grid="zonesGridOptions" ng-class="{'full-height-grid': data.isFullscreen()}" ui-grid-auto-resize ui-grid-cellnav ui-grid-edit ui-grid-resize-columns ui-grid-selection></div>
</div>
|
opac/webapp/templates/includes/language.html | jfunez/opac | {% if session.lang == 'pt_BR' %}
<a href="{{ url_for('.set_locale', lang_code='es') }}" class="lang-es" lang="es">Español</a>
<a href="{{ url_for('.set_locale', lang_code='en') }}" class="lang-en" lang="en">English</a>
{% endif %}
{% if session.lang == 'en' %}
<a href="{{ url_for('.set_locale', lang_code='pt_BR') }}" class="lang-pt" lang="pt-BR">Português</a>
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{% endif %}
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<a href="{{ url_for('.set_locale', lang_code='en') }}" class="lang-en" lang="en">English</a>
{% endif %}
|
www/templates/tab-settings.html | dariospadoni/byAllMeans | <ion-view title='Settings' align-title="left" class="noScrollOverflow">
<ion-content class="has-header">
</ion-content>
</ion-view>
|
pages/publicaciones/libros/scapy.html | abirtone/abirtone.github.io | ---
layout: default
title: "Libro multimedia de hacking y manipulación de paquetes IPv4 con Scapy"
active_tab: "book_scapy"
permalink: /libros/hacking-redes-python-y-scapy/
description: "Libro multimedia e interactivo hacking y manipulación de paquetes IPv4 con Python y Scapy. Disponible para iPad, iOS, Mac y ePub"
---
<div class="col-sm-12 clearfix">
<div class="page-header first-3 first-section">
<h1>Libro: "Hacking y manipulación de paquetes IPv4 con Python y <span class="color-red">Scapy</span>"</h1>
</div>
</div>
<div class="col-sm-4 top-space-4 clearfix">
<div class="row clearfix">
<div class="col-sm-12">
<img width="400px" class="img-responsive" src="/static/books/scapy.jpg" alt="Libro Scapy"/>
</div>
</div>
<div class="row pull-right" style="padding-top: 10px;">
<div class="col-sm-12">
<span class="label label-primary" style="font-size: 100%">0,99€</span>
<a class="btn btn-success clearfix" target="_blank" href="https://geo.itunes.apple.com/es/book/hacking-y-manipulacion-paquetes/id1048215523?mt=13">Obtener iPad / iOS / MAC <em class="glyphicon glyphicon-shopping-cart"></em></a>
</div>
</div>
<div class="row pull-right" style="padding-top: 10px;">
<div class="col-sm-12">
<span class="label label-primary" style="font-size: 100%">1€</span>
<a class="btn btn-success clearfix" target="_blank" href="https://gumroad.com/l/libro-scapy">Obtener ePub <em class="glyphicon glyphicon-shopping-cart"></em></a>
</div>
</div>
<div class="row pull-right">
<div class="col-sm-12">
<span style="font-size: 70%;">Disponible para <b>iPad, iOS, Mac y ePub</b></span>
</div>
</div>
<div class="row pull-right">
<div class="col-sm-12">
<span style="font-size: 70%;">Si eres estudiante o docente, hasta un <b>50% de descuento</b>. <a href="/contacto">Infórmate →</a></span>
</div>
</div>
<div id="fb-root"></div>
<div class="fb-like clearfix" data-width="250px" data-layout="box_count" data-action="like" data-show-faces="true" data-share="true"></div>
<span class="top-space-1" > </span>
<span class="clearfix"><a href="https://twitter.com/share" class="twitter-share-button" data-via="abirtone">Tweet</a> <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, 'script', 'twitter-wjs');</script></span>
</div>
<div class="col-sm-8 top-space-2 clearfix">
<h5>¡NOVEDAD!</h5>
<p class="top-space-1">
También tienes disponible el <b>curso online "Scapy y Python para pentesters"</b>.</p>
<p>
Con más detalles, explicaciones y decenas de ejemplos extra contados por el autor, <a href="https://es.linkedin.com/in/garciagarciadaniel" target="_blank" class="link">Daniel García (cr0hn)</a>, del libro: <a href="https://cursos.securizame.com/scapy-y-python-para-pentesters/" target="_blank" class="link">https://cursos.securizame.com/scapy-y-python-para-pentesters/</a>
</p>
<h5>Resumen</h5>
<p>
Este es un libro <b>multimedia con vídeos, ilustraciones, códigos fuente e imágenes interactivas</b>, que hará que el lector aprenda de forma práctica y muy visual:
</p>
<p>
<b>Scapy</b> es una de las <b>herramientas de manipulación de paquetes más importantes</b>. Además cuenta con la añadida cualidad de poder usarse como librería en nuestro propio software, permitiéndonos diseñar programas basándonos en él.
</p>
<p>
Este libro consta un contenido teórico acotado, pero suficiente, para que el alumno puede entender todos los conceptos explicados: <b>desde la base hasta los aspectos más avanzados</b>.
</p>
<p>
Aprenderá a desenvolverse con soltura en la línea de comandos y el <b>CLI de Scapy</b>. La <b>paralelización de tareas</b> y los entresijos de los <b>hilos de Python</b>: limitaciones, características, cuándo usarlos y cuándo no es conveniente.
</p>
<p>
Practicará con <b>autómatas</b> de estados finitos: diseñándolos e implementándolos <b>usando Scapy y su Automaton</b>. Todo ello <b>sin</b> necesidad de aprender las compleja <b>teoría matemática</b> que lo envuelve.
</p>
<h5>Autor</h5>
<p>El autor de libro de <a href="https://es.linkedin.com/in/garciagarciadaniel" target="_blank" class="link">Daniel García (cr0hn)</a>. Experto en seguridad, hacking y redes.</p>
<div class="row">
<div class="col-sm-6">
<h5><em class="glyphicon glyphicon-apple"></em> iPad / iOS / MAC</h5>
</div>
<div class="col-sm-6">
<h5><em class="glyphicon glyphicon-book"></em> ePub</h5>
</div>
</div>
<div class="row">
<div class="col-sm-6" style="border-right: dashed 1px;">
<p>Dado el carácter interactivo y multimedia del libro, el formato y plataforma desarrollada por Apple proporciona un iBook final de un calidad espectacular.</p>
</div>
<div class="col-sm-6">
<p>A pesar de la limitaciones del formato ePub, también podemos disfrutar de las caracter interactivo del libro.</p>
</div>
</div>
<div class="row">
<div class="col-sm-6" style="border-right: dashed 1px;">
<h5>Video presentación iPad / iOS / MAC</h5>
<iframe width="90%" height="250px" src="https://www.youtube.com/embed/b7uZaV78MPU" frameborder="0" allowfullscreen></iframe>
</div>
<div class="col-sm-6">
<h5>Video presentación ePub</h5>
<p class="text-center">
<iframe width="90%" height="250px" src="https://www.youtube.com/embed/P8Vp4N_Xp7g" frameborder="0" allowfullscreen></iframe>
</p>
</div>
</div>
<div class="row">
<div class="col-sm-6" style="border-right: dashed 1px;">
<h5>Capturas de pantalla formato Apple iBook</h5>
<p>Las siguientes imágenes son capturas de pantalla del libro real, en formato <b>iBook</b>, en un iPad:</p>
<div class="row">
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/001.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 1" src="/static/books/scapy/screenshots-ipad/001.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/002.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 2" src="/static/books/scapy/screenshots-ipad/002.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/003.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 3" src="/static/books/scapy/screenshots-ipad/003.png"></a>
</div>
</div>
</div>
<div class="row">
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/004.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 4" src="/static/books/scapy/screenshots-ipad/004.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/005.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 5" src="/static/books/scapy/screenshots-ipad/005.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-ipad/006.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 6" src="/static/books/scapy/screenshots-ipad/006.png"></a>
</div>
</div>
</div>
</div>
<div class="col-sm-6">
<h5>Capturas de pantalla formato ePub</h5>
<p>Las siguientes imágenes son capturas de pantalla del libro real, en formato <b>ePub</b>, en un iPad:</p>
<div class="row">
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/001.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 1" src="/static/books/scapy/screenshots-epub/001.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/002.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 2" src="/static/books/scapy/screenshots-epub/002.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/003.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 3" src="/static/books/scapy/screenshots-epub/003.png"></a>
</div>
</div>
</div>
<div class="row">
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/004.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 4" src="/static/books/scapy/screenshots-epub/004.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/005.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 5" src="/static/books/scapy/screenshots-epub/005.png"></a>
</div>
</div>
<div class="col-md-4">
<div class="thumbnail">
<a href="/static/books/scapy/screenshots-epub/006.png" data-gallery="multiimages" data-toggle="lightbox"><img alt="screen shot 6" src="/static/books/scapy/screenshots-epub/006.png"></a>
</div>
</div>
</div>
</div>
</div>
<h5>Índice del libro</h5>
<ul class="list-group top-space-1">
<li class="list-group-item">Introducción a Scapy</li>
<li class="list-group-item list-subgroup">
<ul>
<li>¿Qué es Scapy?</li>
<li>El modo <code>interactivo</code></li>
<li>Funciones de ayuda</li>
<li>Construcción de un paquete básico</li>
</ul>
</li>
<li class="list-group-item">Uso avanzado de Scapy</li>
<li class="list-group-item list-subgroup">
<ul>
<li>¿Qué es un layer?</li>
<li>Pila TCP/IP y <code>layers</code> de Scapy</li>
<li>Layers más usados</li>
<li>Párametros de los layers</li>
<li>Modos de envío</li>
<li>Análisis de respuestas</li>
<li>Lectura de ficheros <code>PCAP</code></li>
<li>Reinyección en modo <code>flood</code></li>
<li>Creación de un nuevo layer</li>
<li>Exportar información y creación de gráficas</li>
</ul>
</li>
<li class="list-group-item">Usando Scapy como librería</li>
<li class="list-group-item list-subgroup">
<ul>
<li>Funciones y llamadas</li>
<li>Envío de información</li>
<li>Scapy y <code>multi-threading</code></li>
<li>Interceptación de paquetes y el sistema operativo</li>
<li>Logging remoto con <code>Syslog</code> y Scapy</li>
<li><code>Automaton</code>: El autómata de estados finitos de Scapy</li>
</ul>
</li>
</ul>
</div>
|
core/features/dateParsing/TestCases/individual/PointSeparator/263.html | operasoftware/presto-testo | <!DOCTYPE html>
<html>
<meta charset="utf-8">
<title>Date parser test — January<=x<=December and 0<=y<=99 and 1000<=z<=9999 — january.90.2008</title>
<script src="../date_test.js"></script>
<p>Failed (Script did not run)</p>
<script>
test_date_invalid("january.90.2008", "Invalid Date")
</script>
</html> |
packages/tests/html-imports/html/currentScript.html | webcomponents/polyfills | <!DOCTYPE html>
<!--
@license
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This code may only be used under the BSD style license found at http://polymer.github.io/LICENSE.txt
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Code distributed by Google as part of the polymer project is also
subject to an additional IP rights grant found at http://polymer.github.io/PATENTS.txt
-->
<html>
<head>
<title>currentScript Test</title>
<script src="../../node_modules/@webcomponents/html-imports/html-imports.min.js"></script>
<script>
WCT = {
waitFor: function (cb) {
cb();
},
};
</script>
<script src="../../node_modules/wct-browser-legacy/browser.js"></script>
<link rel="import" href="imports/script-1.html" />
<script src="imports/current-script.js"></script>
</head>
<body>
<script>
var cs = document.currentScript;
test('currentScript', function (done) {
chai.assert.equal(
cs.parentNode,
document.body,
'currentScript set in main document'
);
// In native HTMLImports the event 'HTMLImportsLoaded' might have already
// been fired by this time, so use HTMLImports.whenReady.
HTMLImports.whenReady(function () {
chai.assert.equal(
window.remoteCurrentScriptExecuted,
2,
'remote script executed from import and main document'
);
done();
});
});
</script>
</body>
</html>
|
Wise/doc/javadocs/index-files/index-16.html | ctsidev/SecureWise | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<dd>
<div class="block">This class is a subclass of PageItem and represents a question on the page.</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/Question.html#Question(org.w3c.dom.Node)">Question(Node)</a></span> - Constructor for class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/Question.html" title="class in edu.ucla.wise.commons">Question</a></dt>
<dd>
<div class="block">Constructor: To fill out the stem of the question and parse the
precondition.</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/SkipList.html#question">question</a></span> - Variable in class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/SkipList.html" title="class in edu.ucla.wise.commons">SkipList</a></dt>
<dd> </dd>
<dt><a href="../edu/ucla/wise/commons/QuestionBlock.html" title="class in edu.ucla.wise.commons"><span class="strong">QuestionBlock</span></a> - Class in <a href="../edu/ucla/wise/commons/package-summary.html">edu.ucla.wise.commons</a></dt>
<dd>
<div class="block">This class is a subclass of PageItem and represents a question block on the
page.</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/QuestionBlock.html#QuestionBlock(org.w3c.dom.Node)">QuestionBlock(Node)</a></span> - Constructor for class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/QuestionBlock.html" title="class in edu.ucla.wise.commons">QuestionBlock</a></dt>
<dd>
<div class="block">Constructor: Parse a question block node from the XML DOM node</div>
</dd>
<dt><a href="../edu/ucla/wise/commons/QuestionBlock.StemDifferentiator.html" title="class in edu.ucla.wise.commons"><span class="strong">QuestionBlock.StemDifferentiator</span></a> - Class in <a href="../edu/ucla/wise/commons/package-summary.html">edu.ucla.wise.commons</a></dt>
<dd>
<div class="block">Class to store stemType and stemValue together.</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/QuestionBlock.StemDifferentiator.html#QuestionBlock.StemDifferentiator(java.lang.String, java.lang.String)">QuestionBlock.StemDifferentiator(String, String)</a></span> - Constructor for class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/QuestionBlock.StemDifferentiator.html" title="class in edu.ucla.wise.commons">QuestionBlock.StemDifferentiator</a></dt>
<dd> </dd>
<dt><a href="../edu/ucla/wise/commons/QuestionBlockforSubjectSet.html" title="class in edu.ucla.wise.commons"><span class="strong">QuestionBlockforSubjectSet</span></a> - Class in <a href="../edu/ucla/wise/commons/package-summary.html">edu.ucla.wise.commons</a></dt>
<dd>
<div class="block">Represents a question block that evaluates a subject set</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/QuestionBlockforSubjectSet.html#QuestionBlockforSubjectSet(org.w3c.dom.Node)">QuestionBlockforSubjectSet(Node)</a></span> - Constructor for class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/QuestionBlockforSubjectSet.html" title="class in edu.ucla.wise.commons">QuestionBlockforSubjectSet</a></dt>
<dd>
<div class="block">Constructor: parse a question block node that has a subject set reference
note: subject_set strings copied into inherited "subjectSetLabels" array
field names copied into inherieted stemFieldNames array as
QuestionID_SubjectName (with replacemt of spaces and dashes)</div>
</dd>
<dt><span class="strong"><a href="../edu/ucla/wise/commons/PageItem.html#questionTranslated">questionTranslated</a></span> - Variable in class edu.ucla.wise.commons.<a href="../edu/ucla/wise/commons/PageItem.html" title="class in edu.ucla.wise.commons">PageItem</a></dt>
<dd> </dd>
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0.8.0/generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data.html | statsmodels/statsmodels.github.io |
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<h1>statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data<a class="headerlink" href="#statsmodels-sandbox-regression-gmm-ivregressionresults-remove-data" title="Permalink to this headline">¶</a></h1>
<dl class="method">
<dt id="statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data">
<code class="descclassname">IVRegressionResults.</code><code class="descname">remove_data</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data" title="Permalink to this definition">¶</a></dt>
<dd><p>remove data arrays, all nobs arrays from result and model</p>
<p>This reduces the size of the instance, so it can be pickled with less
memory. Currently tested for use with predict from an unpickled
results and model instance.</p>
<div class="admonition warning">
<p class="first admonition-title">Warning</p>
<p class="last">Since data and some intermediate results have been removed
calculating new statistics that require them will raise exceptions.
The exception will occur the first time an attribute is accessed
that has been set to None.</p>
</div>
<p>Not fully tested for time series models, tsa, and might delete too much
for prediction or not all that would be possible.</p>
<p>The lists of arrays to delete are maintained as attributes of
the result and model instance, except for cached values. These
lists could be changed before calling remove_data.</p>
<p>The attributes to remove are named in:</p>
<dl class="docutils">
<dt>model._data_attr <span class="classifier-delimiter">:</span> <span class="classifier">arrays attached to both the model instance</span></dt>
<dd>and the results instance with the same attribute name.</dd>
<dt>result.data_in_cache <span class="classifier-delimiter">:</span> <span class="classifier">arrays that may exist as values in</span></dt>
<dd>result._cache (TODO : should privatize name)</dd>
<dt>result._data_attr_model <span class="classifier-delimiter">:</span> <span class="classifier">arrays attached to the model</span></dt>
<dd>instance but not to the results instance</dd>
</dl>
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<li><a href="../modules/aui-dialog.html">aui-dialog</a></li>
<li><a href="../modules/aui-editable.html">aui-editable</a></li>
<li><a href="../modules/aui-event.html">aui-event</a></li>
<li><a href="../modules/aui-event-input.html">aui-event-input</a></li>
<li><a href="../modules/aui-image-viewer.html">aui-image-viewer</a></li>
<li><a href="../modules/aui-image-viewer-base.html">aui-image-viewer-base</a></li>
<li><a href="../modules/aui-image-viewer-gallery.html">aui-image-viewer-gallery</a></li>
<li><a href="../modules/aui-io.html">aui-io</a></li>
<li><a href="../modules/aui-io-plugin.html">aui-io-plugin</a></li>
<li><a href="../modules/aui-io-request.html">aui-io-request</a></li>
<li><a href="../modules/aui-live-search.html">aui-live-search</a></li>
<li><a href="../modules/aui-loading-mask.html">aui-loading-mask</a></li>
<li><a href="../modules/aui-media-viewer-plugin.html">aui-media-viewer-plugin</a></li>
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<li><a href="../modules/aui-node-base.html">aui-node-base</a></li>
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<li><a href="../modules/aui-overlay-context.html">aui-overlay-context</a></li>
<li><a href="../modules/aui-overlay-context-panel.html">aui-overlay-context-panel</a></li>
<li><a href="../modules/aui-overlay-manager.html">aui-overlay-manager</a></li>
<li><a href="../modules/aui-overlay-mask.html">aui-overlay-mask</a></li>
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<li><a href="../modules/aui-parse-content.html">aui-parse-content</a></li>
<li><a href="../modules/aui-portal-layout.html">aui-portal-layout</a></li>
<li><a href="../modules/aui-progressbar.html">aui-progressbar</a></li>
<li><a href="../modules/aui-rating.html">aui-rating</a></li>
<li><a href="../modules/aui-resize.html">aui-resize</a></li>
<li><a href="../modules/aui-text.html">aui-text</a></li>
<li><a href="../modules/aui-textboxlist.html">aui-textboxlist</a></li>
<li><a href="../modules/aui-toolbar.html">aui-toolbar</a></li>
<li><a href="../modules/aui-tooltip.html">aui-tooltip</a></li>
<li><a href="../modules/aui-tree.html">aui-tree</a></li>
<li><a href="../modules/aui-tree-data.html">aui-tree-data</a></li>
<li><a href="../modules/aui-tree-node.html">aui-tree-node</a></li>
<li><a href="../modules/aui-tree-view.html">aui-tree-view</a></li>
<li><a href="../modules/autocomplete.html">autocomplete</a></li>
<li><a href="../modules/autocomplete-base.html">autocomplete-base</a></li>
<li><a href="../modules/autocomplete-filters.html">autocomplete-filters</a></li>
<li><a href="../modules/autocomplete-filters-accentfold.html">autocomplete-filters-accentfold</a></li>
<li><a href="../modules/autocomplete-highlighters.html">autocomplete-highlighters</a></li>
<li><a href="../modules/autocomplete-highlighters-accentfold.html">autocomplete-highlighters-accentfold</a></li>
<li><a href="../modules/autocomplete-list.html">autocomplete-list</a></li>
<li><a href="../modules/autocomplete-list-keys.html">autocomplete-list-keys</a></li>
<li><a href="../modules/autocomplete-plugin.html">autocomplete-plugin</a></li>
<li><a href="../modules/autocomplete-sources.html">autocomplete-sources</a></li>
<li><a href="../modules/base.html">base</a></li>
<li><a href="../modules/base-base.html">base-base</a></li>
<li><a href="../modules/base-build.html">base-build</a></li>
<li><a href="../modules/base-core.html">base-core</a></li>
<li><a href="../modules/base-pluginhost.html">base-pluginhost</a></li>
<li><a href="../modules/button.html">button</a></li>
<li><a href="../modules/button-core.html">button-core</a></li>
<li><a href="../modules/button-group.html">button-group</a></li>
<li><a href="../modules/button-plugin.html">button-plugin</a></li>
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<li><a href="../modules/clickable-rail.html">clickable-rail</a></li>
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<li><a href="../modules/console-filters.html">console-filters</a></li>
<li><a href="../modules/cookie.html">cookie</a></li>
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<li><a href="../modules/dataschema-array.html">dataschema-array</a></li>
<li><a href="../modules/dataschema-base.html">dataschema-base</a></li>
<li><a href="../modules/dataschema-json.html">dataschema-json</a></li>
<li><a href="../modules/dataschema-text.html">dataschema-text</a></li>
<li><a href="../modules/dataschema-xml.html">dataschema-xml</a></li>
<li><a href="../modules/datasource.html">datasource</a></li>
<li><a href="../modules/datasource-arrayschema.html">datasource-arrayschema</a></li>
<li><a href="../modules/datasource-cache.html">datasource-cache</a></li>
<li><a href="../modules/datasource-function.html">datasource-function</a></li>
<li><a href="../modules/datasource-get.html">datasource-get</a></li>
<li><a href="../modules/datasource-io.html">datasource-io</a></li>
<li><a href="../modules/datasource-jsonschema.html">datasource-jsonschema</a></li>
<li><a href="../modules/datasource-local.html">datasource-local</a></li>
<li><a href="../modules/datasource-polling.html">datasource-polling</a></li>
<li><a href="../modules/datasource-textschema.html">datasource-textschema</a></li>
<li><a href="../modules/datasource-xmlschema.html">datasource-xmlschema</a></li>
<li><a href="../modules/datatable.html">datatable</a></li>
<li><a href="../modules/datatable-base.html">datatable-base</a></li>
<li><a href="../modules/datatable-base-deprecated.html">datatable-base-deprecated</a></li>
<li><a href="../modules/datatable-body.html">datatable-body</a></li>
<li><a href="../modules/datatable-column-widths.html">datatable-column-widths</a></li>
<li><a href="../modules/datatable-core.html">datatable-core</a></li>
<li><a href="../modules/datatable-datasource.html">datatable-datasource</a></li>
<li><a href="../modules/datatable-datasource-deprecated.html">datatable-datasource-deprecated</a></li>
<li><a href="../modules/datatable-deprecated.html">datatable-deprecated</a></li>
<li><a href="../modules/datatable-head.html">datatable-head</a></li>
<li><a href="../modules/datatable-message.html">datatable-message</a></li>
<li><a href="../modules/datatable-mutable.html">datatable-mutable</a></li>
<li><a href="../modules/datatable-scroll.html">datatable-scroll</a></li>
<li><a href="../modules/datatable-scroll-deprecated.html">datatable-scroll-deprecated</a></li>
<li><a href="../modules/datatable-sort.html">datatable-sort</a></li>
<li><a href="../modules/datatable-sort-deprecated.html">datatable-sort-deprecated</a></li>
<li><a href="../modules/datatable-table.html">datatable-table</a></li>
<li><a href="../modules/datatype.html">datatype</a></li>
<li><a href="../modules/datatype-date.html">datatype-date</a></li>
<li><a href="../modules/datatype-date-format.html">datatype-date-format</a></li>
<li><a href="../modules/datatype-date-math.html">datatype-date-math</a></li>
<li><a href="../modules/datatype-date-parse.html">datatype-date-parse</a></li>
<li><a href="../modules/datatype-number.html">datatype-number</a></li>
<li><a href="../modules/datatype-number-format.html">datatype-number-format</a></li>
<li><a href="../modules/datatype-number-parse.html">datatype-number-parse</a></li>
<li><a href="../modules/datatype-xml.html">datatype-xml</a></li>
<li><a href="../modules/datatype-xml-format.html">datatype-xml-format</a></li>
<li><a href="../modules/datatype-xml-parse.html">datatype-xml-parse</a></li>
<li><a href="../modules/dd.html">dd</a></li>
<li><a href="../modules/dd-constrain.html">dd-constrain</a></li>
<li><a href="../modules/dd-ddm.html">dd-ddm</a></li>
<li><a href="../modules/dd-ddm-base.html">dd-ddm-base</a></li>
<li><a href="../modules/dd-ddm-drop.html">dd-ddm-drop</a></li>
<li><a href="../modules/dd-delegate.html">dd-delegate</a></li>
<li><a href="../modules/dd-drag.html">dd-drag</a></li>
<li><a href="../modules/dd-drop.html">dd-drop</a></li>
<li><a href="../modules/dd-drop-plugin.html">dd-drop-plugin</a></li>
<li><a href="../modules/dd-gestures.html">dd-gestures</a></li>
<li><a href="../modules/dd-plugin.html">dd-plugin</a></li>
<li><a href="../modules/dd-proxy.html">dd-proxy</a></li>
<li><a href="../modules/dd-scroll.html">dd-scroll</a></li>
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<li><a href="../modules/dom-base.html">dom-base</a></li>
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<li><a href="../modules/dom-style.html">dom-style</a></li>
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<li><a href="../modules/editor-base.html">editor-base</a></li>
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<li><a href="../modules/editor-para.html">editor-para</a></li>
<li><a href="../modules/editor-para-base.html">editor-para-base</a></li>
<li><a href="../modules/editor-para-ie.html">editor-para-ie</a></li>
<li><a href="../modules/editor-tab.html">editor-tab</a></li>
<li><a href="../modules/escape.html">escape</a></li>
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<li><a href="../modules/event-custom.html">event-custom</a></li>
<li><a href="../modules/event-custom-base.html">event-custom-base</a></li>
<li><a href="../modules/event-custom-complex.html">event-custom-complex</a></li>
<li><a href="../modules/event-delegate.html">event-delegate</a></li>
<li><a href="../modules/event-flick.html">event-flick</a></li>
<li><a href="../modules/event-focus.html">event-focus</a></li>
<li><a href="../modules/event-gestures.html">event-gestures</a></li>
<li><a href="../modules/event-hover.html">event-hover</a></li>
<li><a href="../modules/event-key.html">event-key</a></li>
<li><a href="../modules/event-mouseenter.html">event-mouseenter</a></li>
<li><a href="../modules/event-mousewheel.html">event-mousewheel</a></li>
<li><a href="../modules/event-move.html">event-move</a></li>
<li><a href="../modules/event-outside.html">event-outside</a></li>
<li><a href="../modules/event-resize.html">event-resize</a></li>
<li><a href="../modules/event-simulate.html">event-simulate</a></li>
<li><a href="../modules/event-synthetic.html">event-synthetic</a></li>
<li><a href="../modules/event-tap.html">event-tap</a></li>
<li><a href="../modules/event-touch.html">event-touch</a></li>
<li><a href="../modules/event-valuechange.html">event-valuechange</a></li>
<li><a href="../modules/exec-command.html">exec-command</a></li>
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<li><a href="../modules/file-flash.html">file-flash</a></li>
<li><a href="../modules/file-html5.html">file-html5</a></li>
<li><a href="../modules/frame.html">frame</a></li>
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<li><a href="../modules/history-hash-ie.html">history-hash-ie</a></li>
<li><a href="../modules/history-html5.html">history-html5</a></li>
<li><a href="../modules/imageloader.html">imageloader</a></li>
<li><a href="../modules/intl.html">intl</a></li>
<li><a href="../modules/io.html">io</a></li>
<li><a href="../modules/io-base.html">io-base</a></li>
<li><a href="../modules/io-form.html">io-form</a></li>
<li><a href="../modules/io-nodejs.html">io-nodejs</a></li>
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<li><a href="../modules/io-upload-iframe.html">io-upload-iframe</a></li>
<li><a href="../modules/io-xdr.html">io-xdr</a></li>
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<li><a href="../modules/json-parse.html">json-parse</a></li>
<li><a href="../modules/json-stringify.html">json-stringify</a></li>
<li><a href="../modules/jsonp.html">jsonp</a></li>
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<li><a href="../modules/model-list.html">model-list</a></li>
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<li><a href="../modules/node-base.html">node-base</a></li>
<li><a href="../modules/node-core.html">node-core</a></li>
<li><a href="../modules/node-data.html">node-data</a></li>
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<li><a href="../modules/node-style.html">node-style</a></li>
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<li><a href="../modules/parallel.html">parallel</a></li>
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<li><a href="../modules/pjax-content.html">pjax-content</a></li>
<li><a href="../modules/pjax-plugin.html">pjax-plugin</a></li>
<li><a href="../modules/plugin.html">plugin</a></li>
<li><a href="../modules/pluginhost.html">pluginhost</a></li>
<li><a href="../modules/pluginhost-base.html">pluginhost-base</a></li>
<li><a href="../modules/pluginhost-config.html">pluginhost-config</a></li>
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<li><a href="../modules/querystring.html">querystring</a></li>
<li><a href="../modules/querystring-parse.html">querystring-parse</a></li>
<li><a href="../modules/querystring-parse-simple.html">querystring-parse-simple</a></li>
<li><a href="../modules/querystring-stringify.html">querystring-stringify</a></li>
<li><a href="../modules/querystring-stringify-simple.html">querystring-stringify-simple</a></li>
<li><a href="../modules/queue-promote.html">queue-promote</a></li>
<li><a href="../modules/range-slider.html">range-slider</a></li>
<li><a href="../modules/recordset.html">recordset</a></li>
<li><a href="../modules/recordset-base.html">recordset-base</a></li>
<li><a href="../modules/recordset-filter.html">recordset-filter</a></li>
<li><a href="../modules/recordset-indexer.html">recordset-indexer</a></li>
<li><a href="../modules/recordset-sort.html">recordset-sort</a></li>
<li><a href="../modules/resize.html">resize</a></li>
<li><a href="../modules/resize-contrain.html">resize-contrain</a></li>
<li><a href="../modules/resize-plugin.html">resize-plugin</a></li>
<li><a href="../modules/resize-proxy.html">resize-proxy</a></li>
<li><a href="../modules/rollup.html">rollup</a></li>
<li><a href="../modules/router.html">router</a></li>
<li><a href="../modules/scrollview.html">scrollview</a></li>
<li><a href="../modules/scrollview-base.html">scrollview-base</a></li>
<li><a href="../modules/scrollview-base-ie.html">scrollview-base-ie</a></li>
<li><a href="../modules/scrollview-list.html">scrollview-list</a></li>
<li><a href="../modules/scrollview-paginator.html">scrollview-paginator</a></li>
<li><a href="../modules/scrollview-scrollbars.html">scrollview-scrollbars</a></li>
<li><a href="../modules/selection.html">selection</a></li>
<li><a href="../modules/selector-css2.html">selector-css2</a></li>
<li><a href="../modules/selector-css3.html">selector-css3</a></li>
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<li><a href="../modules/slider-value-range.html">slider-value-range</a></li>
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<li><a href="../modules/sortable-scroll.html">sortable-scroll</a></li>
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<li><a href="../modules/uploader-flash.html">uploader-flash</a></li>
<li><a href="../modules/uploader-html5.html">uploader-html5</a></li>
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<li><a href="../modules/view-node-map.html">view-node-map</a></li>
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<li><a href="../modules/widget-anim.html">widget-anim</a></li>
<li><a href="../modules/widget-autohide.html">widget-autohide</a></li>
<li><a href="../modules/widget-base.html">widget-base</a></li>
<li><a href="../modules/widget-base-ie.html">widget-base-ie</a></li>
<li><a href="../modules/widget-buttons.html">widget-buttons</a></li>
<li><a href="../modules/widget-child.html">widget-child</a></li>
<li><a href="../modules/widget-htmlparser.html">widget-htmlparser</a></li>
<li><a href="../modules/widget-locale.html">widget-locale</a></li>
<li><a href="../modules/widget-modality.html">widget-modality</a></li>
<li><a href="../modules/widget-parent.html">widget-parent</a></li>
<li><a href="../modules/widget-position.html">widget-position</a></li>
<li><a href="../modules/widget-position-align.html">widget-position-align</a></li>
<li><a href="../modules/widget-position-constrain.html">widget-position-constrain</a></li>
<li><a href="../modules/widget-skin.html">widget-skin</a></li>
<li><a href="../modules/widget-stack.html">widget-stack</a></li>
<li><a href="../modules/widget-stdmod.html">widget-stdmod</a></li>
<li><a href="../modules/widget-uievents.html">widget-uievents</a></li>
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<li><a href="../modules/yql-nodejs.html">yql-nodejs</a></li>
<li><a href="../modules/yql-winjs.html">yql-winjs</a></li>
<li><a href="../modules/yui.html">yui</a></li>
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<h1>BottomAxisLayout Class</h1>
<div class="box meta">
<div class="foundat">
Defined in: <a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l1"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:1</code></a>
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<div class="box intro">
<p>Contains algorithms for rendering a bottom axis.</p>
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<h2 class="off-left">Item Index</h2>
<div class="index-section methods">
<h3>Methods</h3>
<ul class="index-list methods">
<li class="index-item method private">
<a href="#method__getDefaultMargins">_getDefaultMargins</a>
</li>
<li class="index-item method protected">
<a href="#method__getTransformOrigin">_getTransformOrigin</a>
</li>
<li class="index-item method protected">
<a href="#method__setRotationCoords">_setRotationCoords</a>
</li>
<li class="index-item method protected">
<a href="#method_drawTick">drawTick</a>
</li>
<li class="index-item method protected">
<a href="#method_getExplicitlySized">getExplicitlySized</a>
</li>
<li class="index-item method protected">
<a href="#method_getLabelPoint">getLabelPoint</a>
</li>
<li class="index-item method protected">
<a href="#method_getLineStart">getLineStart</a>
</li>
<li class="index-item method protected">
<a href="#method_offsetNodeForTick">offsetNodeForTick</a>
</li>
<li class="index-item method protected">
<a href="#method_positionLabel">positionLabel</a>
</li>
<li class="index-item method protected">
<a href="#method_positionTitle">positionTitle</a>
</li>
<li class="index-item method protected">
<a href="#method_setCalculatedSize">setCalculatedSize</a>
</li>
<li class="index-item method protected">
<a href="#method_setTickOffsets">setTickOffsets</a>
</li>
<li class="index-item method protected">
<a href="#method_updateMaxLabelSize">updateMaxLabelSize</a>
</li>
</ul>
</div>
</div>
<div id="methods" class="aui-tabview-content-item api-class-tabpanel">
<h2 class="off-left">Methods</h2>
<div id="method__getDefaultMargins" class="method item private">
<h3 class="name"><code>_getDefaultMargins</code></h3>
<span class="paren">()</span>
<span class="returns-inline">
<span class="type"></span>
</span>
<span class="flag private">private</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l12"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:12</code></a>
</p>
</div>
<div class="description">
<p>Default margins for text fields.</p>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
Object
</div>
</div>
</div>
<div id="method__getTransformOrigin" class="method item protected">
<h3 class="name"><code>_getTransformOrigin</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>rot</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="returns-inline">
<span class="type"></span>
</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l290"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:290</code></a>
</p>
</div>
<div class="description">
<p>Returns the transformOrigin to use for an axis label based on the position of the axis
and the rotation of the label.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">rot</code>
<span class="type"><a href="../classes/Number.html" class="crosslink">Number</a></span>
<div class="param-description">
<p>The rotation (in degrees) of the label.</p>
</div>
</li>
</ul>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
Array
</div>
</div>
</div>
<div id="method__setRotationCoords" class="method item protected">
<h3 class="name"><code>_setRotationCoords</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>props</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l255"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:255</code></a>
</p>
</div>
<div class="description">
<p>Adjusts the coordinates of an axis label based on the rotation.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">props</code>
<span class="type"><a href="https://developer.mozilla.org/en/JavaScript/Reference/Global_Objects/Object" class="crosslink external" target="_blank">Object</a></span>
<div class="param-description">
<p>Coordinates, dimension and rotation properties of the label.</p>
</div>
</li>
</ul>
</div>
</div>
<div id="method_drawTick" class="method item protected">
<h3 class="name"><code>drawTick</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>path</code>
</li>
<li class="arg">
<code>pt</code>
</li>
<li class="arg">
<code>tickStyles</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l91"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:91</code></a>
</p>
</div>
<div class="description">
<p>Draws a tick</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">path</code>
<span class="type"><a href="../classes/Path.html" class="crosslink">Path</a></span>
<div class="param-description">
<p>reference to the path <code>Path</code> element in which to draw the tick.</p>
</div>
</li>
<li class="param">
<code class="param-name">pt</code>
<span class="type"><a href="https://developer.mozilla.org/en/JavaScript/Reference/Global_Objects/Object" class="crosslink external" target="_blank">Object</a></span>
<div class="param-description">
<p>hash containing x and y coordinates</p>
</div>
</li>
<li class="param">
<code class="param-name">tickStyles</code>
<span class="type"><a href="https://developer.mozilla.org/en/JavaScript/Reference/Global_Objects/Object" class="crosslink external" target="_blank">Object</a></span>
<div class="param-description">
<p>hash of properties used to draw the tick</p>
</div>
</li>
</ul>
</div>
</div>
<div id="method_getExplicitlySized" class="method item protected">
<h3 class="name"><code>getExplicitlySized</code></h3>
<span class="paren">()</span>
<span class="returns-inline">
<span class="type"></span>
</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l155"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:155</code></a>
</p>
</div>
<div class="description">
<p>Determines the available label height when the axis width has been explicitly set.</p>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
Boolean
</div>
</div>
</div>
<div id="method_getLabelPoint" class="method item protected">
<h3 class="name"><code>getLabelPoint</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>pt</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="returns-inline">
<span class="type"></span>
</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l111"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:111</code></a>
</p>
</div>
<div class="description">
<p>Calculates the point for a label.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">pt</code>
<span class="type"><a href="https://developer.mozilla.org/en/JavaScript/Reference/Global_Objects/Object" class="crosslink external" target="_blank">Object</a></span>
<div class="param-description">
<p>Object containing x and y coordinates</p>
</div>
</li>
</ul>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
Object
</div>
</div>
</div>
<div id="method_getLineStart" class="method item protected">
<h3 class="name"><code>getLineStart</code></h3>
<span class="paren">()</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l66"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:66</code></a>
</p>
</div>
<div class="description">
<p>Calculates the coordinates for the first point on an axis.</p>
</div>
</div>
<div id="method_offsetNodeForTick" class="method item protected">
<h3 class="name"><code>offsetNodeForTick</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>cb</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l317"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:317</code></a>
</p>
</div>
<div class="description">
<p>Adjusts position for inner ticks.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">cb</code>
<span class="type"><a href="../classes/Node.html" class="crosslink">Node</a></span>
<div class="param-description">
<p>contentBox of the axis</p>
</div>
</li>
</ul>
</div>
</div>
<div id="method_positionLabel" class="method item protected">
<h3 class="name"><code>positionLabel</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>label</code>
</li>
<li class="arg">
<code>pt</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l207"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:207</code></a>
</p>
</div>
<div class="description">
<p>Rotate and position labels.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">label</code>
<span class="type"><a href="https://developer.mozilla.org/en/Document_Object_Model_(DOM)/HTMLElement" class="crosslink external" target="_blank">HTMLElement</a></span>
<div class="param-description">
<p>to rotate position</p>
</div>
</li>
<li class="param">
<code class="param-name">pt</code>
<span class="type"><a href="https://developer.mozilla.org/en/JavaScript/Reference/Global_Objects/Object" class="crosslink external" target="_blank">Object</a></span>
<div class="param-description">
<p>hash containing the x and y coordinates in which the label will be positioned
against.</p>
</div>
</li>
</ul>
</div>
</div>
<div id="method_positionTitle" class="method item protected">
<h3 class="name"><code>positionTitle</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>label</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l177"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:177</code></a>
</p>
</div>
<div class="description">
<p>Rotate and position title.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">label</code>
<span class="type"><a href="https://developer.mozilla.org/en/Document_Object_Model_(DOM)/HTMLElement" class="crosslink external" target="_blank">HTMLElement</a></span>
<div class="param-description">
<p>to rotate position</p>
</div>
</li>
</ul>
</div>
</div>
<div id="method_setCalculatedSize" class="method item protected">
<h3 class="name"><code>setCalculatedSize</code></h3>
<span class="paren">()</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l330"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:330</code></a>
</p>
</div>
<div class="description">
<p>Assigns a height based on the size of the contents.</p>
</div>
</div>
<div id="method_setTickOffsets" class="method item protected">
<h3 class="name"><code>setTickOffsets</code></h3>
<span class="paren">()</span>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l29"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:29</code></a>
</p>
</div>
<div class="description">
<p>Sets the length of the tick on either side of the axis line.</p>
</div>
</div>
<div id="method_updateMaxLabelSize" class="method item protected">
<h3 class="name"><code>updateMaxLabelSize</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>label</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="flag protected">protected</span>
<div class="meta">
<p>
Defined in
<a href="../../files/lib_yui3_src_charts_js_BottomAxisLayout.js.html#l124"><code>lib/yui3/src/charts/js/BottomAxisLayout.js:124</code></a>
</p>
</div>
<div class="description">
<p>Updates the value for the <code>maxLabelSize</code> for use in calculating total size.</p>
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">label</code>
<span class="type"><a href="https://developer.mozilla.org/en/Document_Object_Model_(DOM)/HTMLElement" class="crosslink external" target="_blank">HTMLElement</a></span>
<div class="param-description">
<p>to measure</p>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
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<div class="section" id="statsmodels-regression-linear-model-gls-from-formula">
<h1>statsmodels.regression.linear_model.GLS.from_formula<a class="headerlink" href="#statsmodels-regression-linear-model-gls-from-formula" title="Permalink to this headline">¶</a></h1>
<dl class="method">
<dt id="statsmodels.regression.linear_model.GLS.from_formula">
<code class="descclassname">GLS.</code><code class="descname">from_formula</code><span class="sig-paren">(</span><em>formula</em>, <em>data</em>, <em>subset=None</em>, <em>drop_cols=None</em>, <em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#statsmodels.regression.linear_model.GLS.from_formula" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a Model from a formula and dataframe.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>formula</strong> : str or generic Formula object</p>
<blockquote>
<div><p>The formula specifying the model</p>
</div></blockquote>
<p><strong>data</strong> : array-like</p>
<blockquote>
<div><p>The data for the model. See Notes.</p>
</div></blockquote>
<p><strong>subset</strong> : array-like</p>
<blockquote>
<div><p>An array-like object of booleans, integers, or index values that
indicate the subset of df to use in the model. Assumes df is a
<cite>pandas.DataFrame</cite></p>
</div></blockquote>
<p><strong>drop_cols</strong> : array-like</p>
<blockquote>
<div><p>Columns to drop from the design matrix. Cannot be used to
drop terms involving categoricals.</p>
</div></blockquote>
<p><strong>args</strong> : extra arguments</p>
<blockquote>
<div><p>These are passed to the model</p>
</div></blockquote>
<p><strong>kwargs</strong> : extra keyword arguments</p>
<blockquote>
<div><p>These are passed to the model with one exception. The
<code class="docutils literal"><span class="pre">eval_env</span></code> keyword is passed to patsy. It can be either a
<a class="reference external" href="http://patsy.readthedocs.io/en/latest/API-reference.html#patsy.EvalEnvironment" title="(in patsy v0.4.1+dev)"><code class="docutils literal"><span class="pre">patsy.EvalEnvironment</span></code></a> object or an integer
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</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last"><strong>model</strong> : Model instance</p>
</td>
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</tbody>
</table>
<p class="rubric">Notes</p>
<p>data must define __getitem__ with the keys in the formula terms
args and kwargs are passed on to the model instantiation. E.g.,
a numpy structured or rec array, a dictionary, or a pandas DataFrame.</p>
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src/Java/BouncyCastle/BouncyCastle-1.54/bcpkix-jdk15on-154/javadoc/org/bouncycastle/tsp/TimeStampRequest.html | GaloisInc/hacrypto | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<h2 title="Class TimeStampRequest" class="title">Class TimeStampRequest</h2>
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<div class="contentContainer">
<ul class="inheritance">
<li>java.lang.Object</li>
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<li>org.bouncycastle.tsp.TimeStampRequest</li>
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<pre>public class <span class="strong">TimeStampRequest</span>
extends java.lang.Object</pre>
<div class="block">Base class for an RFC 3161 Time Stamp Request.</div>
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<th class="colOne" scope="col">Constructor and Description</th>
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<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#TimeStampRequest(byte[])">TimeStampRequest</a></strong>(byte[] req)</code>
<div class="block">Create a TimeStampRequest from the past in byte array.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#TimeStampRequest(java.io.InputStream)">TimeStampRequest</a></strong>(java.io.InputStream in)</code>
<div class="block">Create a TimeStampRequest from the past in input stream.</div>
</td>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#TimeStampRequest(org.bouncycastle.asn1.tsp.TimeStampReq)">TimeStampRequest</a></strong>(org.bouncycastle.asn1.tsp.TimeStampReq req)</code> </td>
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<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getCertReq()">getCertReq</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>java.util.Set</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getCriticalExtensionOIDs()">getCriticalExtensionOIDs</a></strong>()</code>
<div class="block">Returns a set of ASN1ObjectIdentifiers giving the critical extensions.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>byte[]</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getEncoded()">getEncoded</a></strong>()</code>
<div class="block">return the ASN.1 encoded representation of this object.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>org.bouncycastle.asn1.x509.Extension</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getExtension(org.bouncycastle.asn1.ASN1ObjectIdentifier)">getExtension</a></strong>(org.bouncycastle.asn1.ASN1ObjectIdentifier oid)</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>java.util.List</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getExtensionOIDs()">getExtensionOIDs</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>org.bouncycastle.asn1.ASN1ObjectIdentifier</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getMessageImprintAlgOID()">getMessageImprintAlgOID</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>byte[]</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getMessageImprintDigest()">getMessageImprintDigest</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>java.math.BigInteger</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getNonce()">getNonce</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>java.util.Set</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getNonCriticalExtensionOIDs()">getNonCriticalExtensionOIDs</a></strong>()</code>
<div class="block">Returns a set of ASN1ObjectIdentifiers giving the non-critical extensions.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>org.bouncycastle.asn1.ASN1ObjectIdentifier</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getReqPolicy()">getReqPolicy</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#getVersion()">getVersion</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#hasExtensions()">hasExtensions</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../org/bouncycastle/tsp/TimeStampRequest.html#validate(java.util.Set,%20java.util.Set,%20java.util.Set)">validate</a></strong>(java.util.Set algorithms,
java.util.Set policies,
java.util.Set extensions)</code>
<div class="block">Validate the timestamp request, checking the digest to see if it is of an
accepted type and whether it is of the correct length for the algorithm specified.</div>
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<h3>Methods inherited from class java.lang.Object</h3>
<code>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>TimeStampRequest</h4>
<pre>public TimeStampRequest(org.bouncycastle.asn1.tsp.TimeStampReq req)</pre>
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<h4>TimeStampRequest</h4>
<pre>public TimeStampRequest(byte[] req)
throws java.io.IOException</pre>
<div class="block">Create a TimeStampRequest from the past in byte array.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>req</code> - byte array containing the request.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>java.io.IOException</code> - if the request is malformed.</dd></dl>
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<h4>TimeStampRequest</h4>
<pre>public TimeStampRequest(java.io.InputStream in)
throws java.io.IOException</pre>
<div class="block">Create a TimeStampRequest from the past in input stream.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>in</code> - input stream containing the request.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>java.io.IOException</code> - if the request is malformed.</dd></dl>
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</ul>
</li>
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<h3>Method Detail</h3>
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<pre>public int getVersion()</pre>
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<h4>getMessageImprintAlgOID</h4>
<pre>public org.bouncycastle.asn1.ASN1ObjectIdentifier getMessageImprintAlgOID()</pre>
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<pre>public byte[] getMessageImprintDigest()</pre>
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<h4>getReqPolicy</h4>
<pre>public org.bouncycastle.asn1.ASN1ObjectIdentifier getReqPolicy()</pre>
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<pre>public java.math.BigInteger getNonce()</pre>
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<h4>getCertReq</h4>
<pre>public boolean getCertReq()</pre>
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<h4>validate</h4>
<pre>public void validate(java.util.Set algorithms,
java.util.Set policies,
java.util.Set extensions)
throws <a href="../../../org/bouncycastle/tsp/TSPException.html" title="class in org.bouncycastle.tsp">TSPException</a></pre>
<div class="block">Validate the timestamp request, checking the digest to see if it is of an
accepted type and whether it is of the correct length for the algorithm specified.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>algorithms</code> - a set of OIDs giving accepted algorithms.</dd><dd><code>policies</code> - if non-null a set of policies OIDs we are willing to sign under.</dd><dd><code>extensions</code> - if non-null a set of extensions OIDs we are willing to accept.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../org/bouncycastle/tsp/TSPException.html" title="class in org.bouncycastle.tsp">TSPException</a></code> - if the request is invalid, or processing fails.</dd></dl>
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<h4>getEncoded</h4>
<pre>public byte[] getEncoded()
throws java.io.IOException</pre>
<div class="block">return the ASN.1 encoded representation of this object.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the default ASN,1 byte encoding for the object.</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>java.io.IOException</code></dd></dl>
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<h4>hasExtensions</h4>
<pre>public boolean hasExtensions()</pre>
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<h4>getExtension</h4>
<pre>public org.bouncycastle.asn1.x509.Extension getExtension(org.bouncycastle.asn1.ASN1ObjectIdentifier oid)</pre>
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<h4>getNonCriticalExtensionOIDs</h4>
<pre>public java.util.Set getNonCriticalExtensionOIDs()</pre>
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<div class="subTitle">thobe.tools.xml</div>
<h2 title="Class XMLDocument" class="title">Class XMLDocument</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
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<li>thobe.tools.xml.XMLDocument</li>
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<pre>public abstract class <span class="strong">XMLDocument</span>
extends java.lang.Object</pre>
<dl><dt><span class="strong">Author:</span></dt>
<dd>Thomas Obenaus</dd></dl>
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<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colOne"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#XMLDocument()">XMLDocument</a></strong>()</code> </td>
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<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code>org.w3c.dom.Node</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#getRoot()">getRoot</a></strong>()</code>
<div class="block">Returns the root node of the document, or null if it doesn't exist.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#getVersion()">getVersion</a></strong>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#hasReadableVersion()">hasReadableVersion</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#loadXMLDocument(java.io.File)">loadXMLDocument</a></strong>(java.io.File fileToLoad)</code>
<div class="block">Loads an xml-document from file.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#saveXMLDocument(java.io.File)">saveXMLDocument</a></strong>(java.io.File targetFile)</code>
<div class="block">Stores the xml-document to file</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../thobe/tools/xml/XMLDocument.html#setCurrentVersion()">setCurrentVersion</a></strong>()</code> </td>
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<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<h4>XMLDocument</h4>
<pre>public XMLDocument()</pre>
</li>
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<a name="loadXMLDocument(java.io.File)">
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<h4>loadXMLDocument</h4>
<pre>public void loadXMLDocument(java.io.File fileToLoad)
throws javax.xml.parsers.ParserConfigurationException,
org.xml.sax.SAXException,
java.io.IOException</pre>
<div class="block">Loads an xml-document from file.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>fileToLoad</code> - </dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>javax.xml.parsers.ParserConfigurationException</code></dd>
<dd><code>org.xml.sax.SAXException</code></dd>
<dd><code>java.io.IOException</code></dd></dl>
</li>
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<h4>getRoot</h4>
<pre>public org.w3c.dom.Node getRoot()</pre>
<div class="block">Returns the root node of the document, or null if it doesn't exist.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
</li>
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<a name="getVersion()">
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<h4>getVersion</h4>
<pre>public int getVersion()</pre>
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<h4>setCurrentVersion</h4>
<pre>public void setCurrentVersion()</pre>
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<h4>hasReadableVersion</h4>
<pre>public boolean hasReadableVersion()</pre>
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<a name="saveXMLDocument(java.io.File)">
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<ul class="blockListLast">
<li class="blockList">
<h4>saveXMLDocument</h4>
<pre>public void saveXMLDocument(java.io.File targetFile)
throws javax.xml.transform.TransformerConfigurationException,
javax.xml.transform.TransformerFactoryConfigurationError,
javax.xml.transform.TransformerException,
java.io.IOException</pre>
<div class="block">Stores the xml-document to file</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>targetFile</code> - </dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>javax.xml.transform.TransformerConfigurationException</code></dd>
<dd><code>javax.xml.transform.TransformerFactoryConfigurationError</code></dd>
<dd><code>javax.xml.transform.TransformerException</code></dd>
<dd><code>java.io.IOException</code></dd></dl>
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|
contrib/wustl/websites/agilla/isa/sleep.html | ekiwi/tinyos-1.x | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><!-- InstanceBegin template="/Templates/Instruction.dwt" codeOutsideHTMLIsLocked="false" -->
<head>
<!-- InstanceBeginEditable name="doctitle" -->
<title>Agilla</title>
<!-- InstanceEndEditable -->
<link rel="stylesheet" href="../styles.css" type="text/css" />
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<!-- InstanceBeginEditable name="head" -->
<!-- InstanceEndEditable -->
</head>
<body>
<table width="100%" border="0" cellspacing="0" cellpadding="0">
<tr>
<td><h1><!-- InstanceBeginEditable name="Instruction" -->sleep<!-- InstanceEndEditable --></h1>
</td>
<td align="right"><h1>Class: <!-- InstanceBeginEditable name="Class" -->B<!-- InstanceEndEditable --></h1></td>
</tr>
<tr><td></td><td align="right"><font size="-2">(<a href="classes.html">legend</a>)</font></td>
</tr>
</table>
<hr>
<table width="100%" border="1" cellspacing="0" cellpadding="0">
<tr>
<td width="35%" bgcolor="#CCCCCC"><strong>Operand Stack</strong></td>
<td width="35%" bgcolor="#CCCCCC"><strong>Heap</strong></td>
<td width="30%" bgcolor="#CCCCCC"><strong>Condition Codes</strong></td>
</tr>
<tr>
<td width="40%" valign="top">
<ul>
<li><em>Initial (operands):</em>
<blockquote>
<!-- InstanceBeginEditable name="operands" -->value<!-- InstanceEndEditable -->
</blockquote>
</li>
<li><em>Final (return values):</em>
<blockquote>
<!-- InstanceBeginEditable name="return" -->N/A<!-- InstanceEndEditable -->
</blockquote>
</li>
</ul></td>
<td valign="top"><!-- InstanceBeginEditable name="Heap" -->N/A<!-- InstanceEndEditable --></td>
<td valign="top"><!-- InstanceBeginEditable name="condition" -->N/A<!-- InstanceEndEditable --></td>
</tr>
</table>
<h2>Description</h2>
<!-- InstanceBeginEditable name="MainText" -->
<table width="100%" border="1" bordercolor="#000000">
<!-- <tr>
<td>depth</td>
<td>Push stack depth</td>
<td>0x05</td>
<td> </td>
<td>[value]</td>
<td width="100%">Pushes the depth of the agent's operand stack onto the stack as a value;
the depth is the value before executing this operation.</td>
</tr> -->
-
<!-- <tr>
<td>err</td>
<td>Enter error state</td>
<td>0x06</td>
<td> </td>
<td> </td>
<td width="100%">Forces the agent executing this instruction to enter an error state.
Halts execution.</td>
</tr>-->
<!--
<tr bgcolor="#FF66FF">
<td><font color="#FF0000"><em>startsense<br>
<strong>[N/A]</strong></em></font></td>
<td><font color="#FF0000"><em>Start getting sensor data</em></font></td>
<td><font color="#FF0000"><em>0x11</em></font></td>
<td><font color="#FF0000"><em>[value=sensor],<br>
[value=period]</em></font></td>
<td><font color="#FF0000"> </font></td>
<td><p><font color="#FF0000"><em>Pops two values off the operand stack. The first value specifies the
type of sensor, the second specifies the period. It tells the host to
start taking sensor
measurements,
the host
will put the sensor
readings
into
the host-level
tuple space using
pre-defined
names
at the specified interval.</em></font></p>
<ul>
<li><font color="#FF0000"><em>Photo = 1, name = "sdp"</em></font></li>
<li><font color="#FF0000"><em>Temp = 2, name = "sdt"</em></font></li>
<li><font color="#FF0000"><em>Microphone = 3, name = "sdm"</em></font></li>
<li><font color="#FF0000"><em>Magnometer X and Y= 4, name = "sdx" and "sdy"</em></font></li>
<li><font color="#FF0000"><em>Accelerometer X and Y= 5, name = "sda" and "sdb"</em></font></li>
</ul>
<p><font color="#FF0000"><em>The agent will then have to execute host-level tuple space operations
to retrieve the data. To prevent overflowing the host-level tuple space,
the previous sensor reading tuple will be removed prior to inserting
a new
one.</em></font></p></td>
</tr>
<tr bgcolor="#FF66FF">
<td><font color="#FF0000"><em>stopsense<br>
<strong>[N/A]</strong></em></font></td>
<td><font color="#FF0000"><em>Stop getting sensor data</em></font></td>
<td><font color="#FF0000"><em>0x12</em></font></td>
<td><font color="#FF0000"><em>[value]</em></font></td>
<td><font color="#FF0000"> </font></td>
<td><font color="#FF0000"><em>Pops a value off the operand stack. This value corresponds to a particular
sensor (see instruction startsense). Tells the host to stop taking sensor
measurements. The host will only stop if no other agents are interested
in the sensor
reading.</em></font></td>
</tr>
-->
<tr bgcolor="#99FF99">
<td width="100%" height="22">Suspends the agent for [value on top of stack]
* (1/8) seconds.</td>
</tr>
<!--
<tr>
<td>shiftr</td>
<td>Shift right</td>
<td>0x27</td>
<td>[value1], [value2]</td>
<td>[value]</td>
<td width="100%">Pop [value1] and [value2] off the stack. Shift [value2]
right by [value1] bits and push resulting value back onto the stack.</td>
</tr>
<tr>
<td>shiftl</td>
<td>Shift left</td>
<td>0x28</td>
<td>[value1], [value2]</td>
<td>[value]</td>
<td width="100%">Pop [value1] and [value2] off the stack. Shift [value2] left by [value1] bits and push resulting value back onto the stack.</td>
</tr>
-->
</table>
<!-- InstanceEndEditable -->
<br><br>
<!-- InstanceBeginEditable name="update" --> <em>This page was last updated
on
<!-- #BeginDate format:Am1a -->December 7, 2005 3:49 AM<!-- #EndDate -->.</em><!-- InstanceEndEditable -->
<hr>This work is supported by the <a href="http://formal.cs.uiuc.edu/contessa">ONR MURI Project CONTESSA</a>
and the <a href="http://www.nsf.gov/">NSF</a> under grant number CCR-9970939.
</body>
<!-- InstanceEnd --></html>
|
ext/ant/manual/Tasks/java.html | cisco/PDTool | <!DOCTYPE html>
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Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements. See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
<html lang="en">
<head>
<link rel="stylesheet" type="text/css" href="../stylesheets/style.css">
<title>Java Task</title>
</head>
<body>
<h2 id="java">Java</h2>
<h3>Description</h3>
<p>Executes a Java class within the running (Apache Ant) JVM or forks another JVM if specified.</p>
<p>If odd things go wrong when you run this task, set <var>fork</var>=<q>true</q> to use a new
JVM.</p>
<p><em>Since Ant 1.6.3</em>, you can interact with a forked JVM, as well as sending input to it via
the <var>input</var> and <var>inputstring</var> attributes.</p>
<h4 id="background">Running Ant as a background process on Unix(-like) systems</h4>
<p>If you run Ant as a background process (like <kbd>ant &</kbd>) and use
the <code><java></code> task with <var>spawn</var> set to <q>false</q> and <var>fork</var>
to <q>true</q>, you must provide explicit input to the forked process or Ant will be suspended
because it tries to read from the standard input.</p>
<h3>Parameters</h3>
<table class="attr">
<tr>
<th scope="col">Attribute</th>
<th scope="col">Description</th>
<th scope="col">Required</th>
</tr>
<tr id="classname">
<td>classname</td>
<td>the Java class to execute.</td>
<td rowspan="4">Exactly one of the four</td>
</tr>
<tr>
<td>jar</td>
<td class="left">the location of the jar file to execute (must have a <code>Main-Class</code>
entry in the manifest). <var>fork</var> must be set to <q>true</q> if this option is selected.
See notes <a href="#jar-execute">below</a> for more details.
</td>
</tr>
<tr>
<td>module</td>
<td class="left">The initial or main module to resolve (must have a <code>Main-Class</code>
entry in the manifest). <var>fork</var> must be set to <q>true</q> if this option is
selected. <em>since Ant 1.9.7</em></td>
</tr>
<tr>
<td>sourcefile</td>
<td class="left">The location of a ".java" file or a file containing shebang with Java source code.
Set this attribute to run Java single file source programs, a feature introduced in Java 11.
<var>fork</var> must be set to <q>true</q> if this option is selected.
<em>since Ant 1.10.5</em></td>
</tr>
<tr>
<td>args</td>
<td>the arguments for the class that is executed. <em><u>Deprecated</u>, use
nested <code><arg></code> elements instead.</em></td>
<td>No</td>
</tr>
<tr>
<td>classpath</td>
<td>the classpath to use.</td>
<td>No</td>
</tr>
<tr>
<td>classpathref</td>
<td>the classpath to use, given as <a href="../using.html#references">reference</a> to
a <code>Path</code> defined elsewhere.</td>
<td>No</td>
</tr>
<tr>
<td>modulepath</td>
<td>Specify where to find application modules. A list of directories of modules, module files or
exploded modules. <em>since Ant 1.9.7</em></td>
<td>No</td>
</tr>
<tr>
<td>modulepathref</td>
<td>The modulepath to use, given as <a href="../using.html#references">reference</a> to
a <code>Path</code> defined elsewhere. <em>since Ant 1.9.7</em></td>
<td>No</td>
</tr>
<tr>
<td>fork</td>
<td>if enabled triggers the class execution in another JVM.</td>
<td>No; default is <q>false</q></td>
</tr>
<tr>
<td>spawn</td>
<td>if enabled allows to start a process which will outlive Ant.<br/>Requires
that <var>fork</var> is <q>true</q>, and not compatible
with <var>timeout</var>, <var>input</var>, <var>output</var>, <var>error</var>, <var>result</var>
attributes</td>
<td>No; default is <q>false</q></td>
</tr>
<tr>
<td>jvm</td>
<td>the command used to invoke JVM. The command is resolved
by <code>java.lang.Runtime.exec()</code>. Ignored if <var>fork</var> is <q>false</q>.
</td>
<td>No, default is <kbd>java</kbd></td>
</tr>
<tr>
<td>jvmargs</td>
<td>the arguments to pass to the forked JVM, ignored if <var>fork</var> is
disabled. <em><u>Deprecated</u>, use nested <code><jvmarg></code> elements
instead.</em></td>
<td>No</td>
</tr>
<tr>
<td>maxmemory</td>
<td>Max amount of memory to allocate to the forked JVM, ignored if <var>fork</var>
is <q>false</q></td>
<td>No</td>
</tr>
<tr>
<td>failonerror</td>
<td>Stop the build process if the command exits with a return code other than <q>0</q>.</td>
<td>No; default is <q>false</q> (see <a href="#failonerror">note</a>)</td>
</tr>
<tr>
<td>resultproperty</td>
<td>The name of a property in which the return code of the command should be stored. Only of
interest if <var>failonerror</var> is <q>false</q> and if <var>fork</var> is <q>true</q>.</td>
<td>No</td>
</tr>
<tr>
<td>dir</td>
<td>The directory to invoke the JVM in, ignored if <var>fork</var> is <q>false</q>.</td>
<td>No</td>
</tr>
<tr>
<td>output</td>
<td>Name of a file to which to write the output. If the error stream is not also redirected to a
file or property, it will appear in this output.</td>
<td>No</td>
</tr>
<tr>
<td>error</td>
<td>The file to which the standard error of the command should be redirected.</td>
<td>No</td>
</tr>
<tr>
<td>logError</td>
<td>This attribute is used when you wish to see error output in Ant's log and you are
redirecting output to a file/property. The error output will not be included in the output
file/property. If you redirect error with the <var>error</var> or <var>errorProperty</var>
attributes, this will have no effect.</td>
<td>No</td>
</tr>
<tr>
<td>append</td>
<td>Whether output and error files should be appended to or overwritten.</td>
<td>No; defaults to <q>false</q></td>
</tr>
<tr>
<td>outputproperty</td>
<td>The name of a property in which the output of the command should be stored. Unless the error
stream is redirected to a separate file or stream, this property will include the error
output.</td>
<td>No</td>
</tr>
<tr>
<td>errorproperty</td>
<td>The name of a property in which the standard error of the command should be stored.</td>
<td>No</td>
</tr>
<tr>
<td>input</td>
<td>A file from which the executed command's standard input is taken. This attribute is mutually
exclusive with the <var>inputstring</var> attribute</td>
<td>No; default is to take standard input from console
unless <var>spawn</var> is <q>true</q></td>
</tr>
<tr>
<td>inputstring</td>
<td>A string which serves as the input stream for the executed command. This attribute is
mutually exclusive with the <var>input</var> attribute.</td>
<td>No; default is to take standard input from console unless <var>spawn</var>
is <q>true</q>)</td>
</tr>
<tr>
<td>newenvironment</td>
<td>Do not propagate old environment when new environment variables are specified.</td>
<td>No; default is <q>false</q>, ignored if <var>fork</var> is <q>false</q></td>
</tr>
<tr>
<td>timeout</td>
<td>Stop the command if it doesn't finish within the specified time (given in
milliseconds). <strong>It is highly recommended to use this feature only if <var>fork</var>
is <q>true</q>.</strong></td>
<td>No</td>
</tr>
<tr>
<td>clonevm</td>
<td>If set to <q>true</q>, then all system properties and the <var>bootclasspath</var> of the
forked JVM will be the same as those of the JVM running Ant. <em>since Ant 1.7</em></td>
<td>No; default is <q>false</q>, ignored if <var>fork</var> is <q>false</q></td>
</tr>
</table>
<h3>Parameters specified as nested elements</h3>
<h4>arg and jvmarg</h4>
<p>Use nested <code><arg></code> and <code><jvmarg></code> elements to specify arguments
for the Java class and the forked JVM respectively. See <a href="../using.html#arg">Command line
arguments</a>.</p>
<h4>sysproperty</h4>
<p>Use nested <code><sysproperty></code> elements to specify system properties required by the
class. These properties will be made available to JVM during the execution of the class (either
Ant's JVM or the forked JVM). The attributes for this element are the same as
for <a href="exec.html#env">environment variables</a>.</p>
<h4>syspropertyset</h4>
<p><em>Since Ant 1.6</em>.</p>
<p>You can specify a set of properties to be used as system properties
with <a href="../Types/propertyset.html">syspropertyset</a>s.</p>
<h4>classpath</h4>
<p><code>Java</code>'s <var>classpath</var> attribute is a <a href="../using.html#path">path-like
structure</a> and can also be set via a nested <code>classpath</code> element.</p>
<h4>bootclasspath</h4>
<p><em>Since Ant 1.6</em>.</p>
<p>The location of bootstrap class files can be specified using
this <a href="../using.html#path">path-like structure</a>—will be ignored if <var>fork</var>
is not <q>true</q> or the target JVM doesn't support it (i.e. Java 1.1).</p>
<h4>env</h4>
<p>It is possible to specify environment variables to pass to the forked JVM via
nested <code>env</code> elements. See the description in the section
about <a href="exec.html#env">exec</a></p>
<p>Settings will be ignored if <var>fork</var> is <q>false</q>.</p>
<h4>permissions</h4>
<p><em>Since Ant 1.6</em>.</p>
<p>Security permissions can be revoked and granted during the execution of the class via a
nested <code>permissions</code> element. For more information please
see <a href="../Types/permissions.html">permissions</a>.</p>
<p>When the permission <code>RuntimePermission exitVM</code> has not been granted (or has been
revoked) the <code>System.exit()</code> call will be intercepted and treated like indicated
in <var>failonerror</var>.</p>
<p><strong>Note</strong>:<br/> If you do not specify permissions, a set of default permissions will
be added to your Java invocation to make sure that the Ant run will continue or terminated as
indicated by <var>failonerror</var>. All permissions not granted per default will be checked by
whatever security manager was already in place. <code>exitVM</code> will be disallowed.</p>
<p>Settings will be ignored if <var>fork</var> is <q>true</q>.</p>
<h4>assertions</h4>
<p><em>Since Ant 1.6</em>.</p>
<p>You can control enablement of Java 1.4 assertions with
an <a href="../Types/assertions.html"><code><assertions></code></a> subelement.</p>
<p>Assertion statements are currently ignored in non-forked mode.</p>
<h4 id="redirector">redirector</h4>
<em>Since Ant 1.6.2</em>
<p>A nested <a href="../Types/redirector.html">I/O Redirector</a> can be specified. In general, the
attributes of the redirector behave as the corresponding attributes available at the task level.
The most notable peculiarity stems from the retention of the <code><java></code> attributes
for backwards compatibility. Any file mapping is done using a <code>null</code> sourcefile;
therefore not all <a href="../Types/mapper.html">Mapper</a> types will return results. When no
results are returned, redirection specifications will fall back to the task level attributes. In
practice this means that defaults can be specified for <var>input</var>, <var>output</var>,
and <var>error</var> output files.</p>
<h3 id="failonerror">Errors and return codes</h3>
<p>By default, the return code of a <code><java></code> is ignored. Alternatively, you can
set <var>resultproperty</var> to the name of a property and have it assigned to the result code
(barring immutability, of course). When you set <var>failonerror</var>=<q>true</q>, the only
possible value for <var>resultproperty</var> is <q>0</q>. Any non-zero response is treated as an
error and would mean the build exits.</p>
<p>Similarly, if <var>failonerror</var>=<q>false</q> and <var>fork</var>=<q>false</q>,
then <code><java></code> <em>must</em> return <q>0</q> otherwise the build will exit, as the
class was run by the build JVM.</p>
<h4 id="modulepath">modulepath</h4>
<em>Since Ant 1.9.7</em>
<p><code>Java</code>'s <var>modulepath</var> attribute is a <a href="../using.html#path">path-like
structure</a> and can also be set via a nested <code>modulepath</code> element.</p>
<h4 id="upgrademodulepath">upgrademodulepath</h4>
<em>Since Ant 1.9.7</em>
<p>The location of modules that replace upgradeable modules in the runtime image can be specified
using this <a href="../using.html#path">path-like structure</a>.</p>
<h3 id="jar-execute">JAR file execution</h3>
<p>The parameter of the <var>jar</var> attribute is of type <code>File</code>; that is, the
parameter is resolved to an absolute file relative to the base directory of the
project, <em>not</em> the directory in which the Java task is run. If you need to locate a JAR file
relative to the directory the task will be run in, you need to explicitly create the full path to
the JAR file.</p>
<p>When using the <var>jar</var> attribute, all classpath settings are ignored according
to <a href="https://docs.oracle.com/javase/8/docs/technotes/tools/windows/java.html"
target="_top">Oracle's specification</a>.
<h3>Examples</h3>
<p>Run a class in this JVM with a new jar on the classpath</p>
<pre>
<java classname="test.Main">
<arg value="-h"/>
<classpath>
<pathelement location="dist/test.jar"/>
<pathelement path="${java.class.path}"/>
</classpath>
</java></pre>
<p>Run the JAR <samp>test.jar</samp> in this project's <samp>dist/lib</samp> directory, using the
manifest supplied entry point, forking (as required), and with a maximum memory of 128 MB. Any non
zero return code breaks the build.</p>
<pre>
<java jar="dist/test.jar"
fork="true"
failonerror="true"
maxmemory="128m">
<arg value="-h"/>
<classpath>
<pathelement location="dist/test.jar"/>
<pathelement path="${java.class.path}"/>
</classpath>
</java></pre>
<p>Run the JAR <samp>dist/test.jar</samp> relative to the directory <code>${exec.dir}</code>, this
being the same directory in which JVM is to start up.</p>
<pre>
<java dir="${exec.dir}"
jar="${exec.dir}/dist/test.jar"
fork="true"
failonerror="true"
maxmemory="128m">
<arg value="-h"/>
<classpath>
<pathelement location="dist/test.jar"/>
<pathelement path="${java.class.path}"/>
</classpath>
</java></pre>
<p>Run a given class with the current classpath.</p>
<pre><java classname="test.Main"/></pre>
<p>Add system properties and JVM properties to JVM as in <code>java
-Xrunhprof:cpu=samples,file=log.txt,depth=3 -DDEBUG=true test.Main</code>
<pre>
<java classname="test.Main"
fork="yes" >
<sysproperty key="DEBUG" value="true"/>
<arg value="-h"/>
<jvmarg value="-Xrunhprof:cpu=samples,file=log.txt,depth=3"/>
</java></pre>
<p>Use a given Java implementation (other than the one Ant is currently using) to run the class. For
documentation in the log <var>taskname</var> is used to change the <q>[java]</q> log-prefix
to <q>[java1.4]</q>.</p>
<pre>
<java classname="ShowJavaVersion" classpath="."
jvm="path-to-java14-home/bin/java" fork="true"
taskname="java1.4"/></pre>
<p><strong>Note</strong>: you can not specify the (highly deprecated) MS
JVM, <samp>jview.exe</samp>, as <var>jvm</var>, since it takes different parameters than other JVMs.
That JVM can be started from <code><exec></code> if required.</p>
<p>Run the module <samp>TestModule</samp> resolved on the modulepath <samp>lib/:dist/test.jar</samp>
with a maximum memory of 128 MB. Any non zero return code breaks the build.</p>
<pre>
<java fork="true"
failonerror="true"
maxmemory="128m"
module="TestModule"
modulepath="lib:dist/test.jar"/></pre>
<p>Run the class <samp>Main</samp> in module <samp>TestModule</samp> resolved on the
modulepath <samp>lib/:dist/test.jar</samp> with a maximum memory of 128 MB. Any non zero return code
breaks the build.</p>
<pre>
<java fork="true"
failonerror="true"
maxmemory="128m"
module="TestModule"
classname="Main">
<modulepath>
<pathelement location="lib"/>
<pathelement location="dist/test.jar"/>
</modulepath>
</java></pre>
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src/doxygen/html/classArmISA_1_1FpRegRegOp.html | wnoc-drexel/gem5-stable | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1">
<title>gem5: ArmISA::FpRegRegOp Class Reference</title>
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<li><a href="functions.html"><span>Class Members</span></a></li>
</ul></div>
<div class="nav">
<a class="el" href="namespaceArmISA.html">ArmISA</a>::<a class="el" href="classArmISA_1_1FpRegRegOp.html">FpRegRegOp</a></div>
<h1>ArmISA::FpRegRegOp Class Reference</h1><!-- doxytag: class="ArmISA::FpRegRegOp" --><!-- doxytag: inherits="ArmISA::FpOp" --><code>#include <<a class="el" href="vfp_8hh-source.html">vfp.hh</a>></code>
<p>
<p>Inheritance diagram for ArmISA::FpRegRegOp:
<p><center><img src="classArmISA_1_1FpRegRegOp.png" usemap="#ArmISA::FpRegRegOp_map" border="0" alt=""></center>
<map name="ArmISA::FpRegRegOp_map">
<area href="classArmISA_1_1FpOp.html" alt="ArmISA::FpOp" shape="rect" coords="0,224,137,248">
<area href="classArmISA_1_1PredOp.html" alt="ArmISA::PredOp" shape="rect" coords="0,168,137,192">
<area href="classArmISA_1_1ArmStaticInst.html" alt="ArmISA::ArmStaticInst" shape="rect" coords="0,112,137,136">
<area href="classStaticInst.html" alt="StaticInst" shape="rect" coords="0,56,137,80">
<area href="classRefCounted.html" alt="RefCounted" shape="rect" coords="0,0,137,24">
</map>
<a href="classArmISA_1_1FpRegRegOp-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
<tr><td></td></tr>
<tr><td colspan="2"><br><h2>Protected Member Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classArmISA_1_1FpRegRegOp.html#cbe8fd8cf7a47421eb5c19f607c5e35d">FpRegRegOp</a> (const char *mnem, <a class="el" href="classStaticInst.html#4ce6d46a678e2cb90b5baf6fd09028e3">ExtMachInst</a> _machInst, OpClass __opClass, <a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> _dest, <a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> _op1, <a class="el" href="namespaceArmISA.html#7144dcba1336f514c5b9cce66fd4b318">VfpMicroMode</a> <a class="el" href="namespaceArmISA.html#ab42c0db74065d35a4e8809e56f72f97">mode</a>=VfpNotAMicroop)</td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="classArmISA_1_1FpRegRegOp.html#001f541f469689111e82aa6dca93f6fe">generateDisassembly</a> (<a class="el" href="base_2types_8hh.html#f1bb03d6a4ee096394a6749f0a169232">Addr</a> <a class="el" href="namespaceX86ISA.html#fa683dbe03df6ce01bcbb5e1d4ed1494">pc</a>, const <a class="el" href="classSymbolTable.html">SymbolTable</a> *symtab) const </td></tr>
<tr><td class="mdescLeft"> </td><td class="mdescRight">Internal function to generate disassembly string. <a href="#001f541f469689111e82aa6dca93f6fe"></a><br></td></tr>
<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classArmISA_1_1FpRegRegOp.html#0e602767fb69ffd06daac7f6e6edf385">dest</a></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classArmISA_1_1FpRegRegOp.html#ba8ce5e7342bb702c5ba48f5c7bbaab9">op1</a></td></tr>
</table>
<hr><a name="_details"></a><h2>Detailed Description</h2>
<p>
<p>
Definition at line <a class="el" href="vfp_8hh-source.html#l00912">912</a> of file <a class="el" href="vfp_8hh-source.html">vfp.hh</a>.<hr><h2>Constructor & Destructor Documentation</h2>
<a class="anchor" name="cbe8fd8cf7a47421eb5c19f607c5e35d"></a><!-- doxytag: member="ArmISA::FpRegRegOp::FpRegRegOp" ref="cbe8fd8cf7a47421eb5c19f607c5e35d" args="(const char *mnem, ExtMachInst _machInst, OpClass __opClass, IntRegIndex _dest, IntRegIndex _op1, VfpMicroMode mode=VfpNotAMicroop)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">ArmISA::FpRegRegOp::FpRegRegOp </td>
<td>(</td>
<td class="paramtype">const char * </td>
<td class="paramname"> <em>mnem</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="classStaticInst.html#4ce6d46a678e2cb90b5baf6fd09028e3">ExtMachInst</a> </td>
<td class="paramname"> <em>_machInst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">OpClass </td>
<td class="paramname"> <em>__opClass</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> </td>
<td class="paramname"> <em>_dest</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> </td>
<td class="paramname"> <em>_op1</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespaceArmISA.html#7144dcba1336f514c5b9cce66fd4b318">VfpMicroMode</a> </td>
<td class="paramname"> <em>mode</em> = <code>VfpNotAMicroop</code></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td width="100%"><code> [inline, protected]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
<p>
Definition at line <a class="el" href="vfp_8hh-source.html#l00918">918</a> of file <a class="el" href="vfp_8hh-source.html">vfp.hh</a>.
<p>
References <a class="el" href="cpu_2static__inst_8hh-source.html#l00085">StaticInst::flags</a>, <a class="el" href="arm_2miscregs_8hh-source.html#l01379">ArmISA::mode</a>, and <a class="el" href="vfp_8hh-source.html#l00062">ArmISA::setVfpMicroFlags()</a>.
</div>
</div><p>
<hr><h2>Member Function Documentation</h2>
<a class="anchor" name="001f541f469689111e82aa6dca93f6fe"></a><!-- doxytag: member="ArmISA::FpRegRegOp::generateDisassembly" ref="001f541f469689111e82aa6dca93f6fe" args="(Addr pc, const SymbolTable *symtab) const " -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">std::string FpRegRegOp::generateDisassembly </td>
<td>(</td>
<td class="paramtype"><a class="el" href="base_2types_8hh.html#f1bb03d6a4ee096394a6749f0a169232">Addr</a> </td>
<td class="paramname"> <em>pc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classSymbolTable.html">SymbolTable</a> * </td>
<td class="paramname"> <em>symtab</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td width="100%"> const<code> [protected, virtual]</code></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
Internal function to generate disassembly string.
<p>
<p>
Reimplemented from <a class="el" href="classArmISA_1_1ArmStaticInst.html#5b3b2a37d2ebc3034b7bc5dc95e8005b">ArmISA::ArmStaticInst</a>.
<p>
Definition at line <a class="el" href="vfp_8cc-source.html#l00080">80</a> of file <a class="el" href="vfp_8cc-source.html">vfp.cc</a>.
<p>
References <a class="el" href="vfp_8hh-source.html#l00915">dest</a>, <a class="el" href="arm_2registers_8hh-source.html#l00113">ArmISA::FP_Reg_Base</a>, <a class="el" href="vfp_8hh-source.html#l00916">op1</a>, <a class="el" href="arch_2arm_2insts_2static__inst_8cc-source.html#l00344">ArmISA::ArmStaticInst::printMnemonic()</a>, <a class="el" href="arch_2arm_2insts_2static__inst_8cc-source.html#l00295">ArmISA::ArmStaticInst::printReg()</a>, and <a class="el" href="arm_2miscregs_8hh-source.html#l01366">ArmISA::ss</a>.
</div>
</div><p>
<hr><h2>Member Data Documentation</h2>
<a class="anchor" name="0e602767fb69ffd06daac7f6e6edf385"></a><!-- doxytag: member="ArmISA::FpRegRegOp::dest" ref="0e602767fb69ffd06daac7f6e6edf385" args="" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> <a class="el" href="classArmISA_1_1FpRegRegOp.html#0e602767fb69ffd06daac7f6e6edf385">ArmISA::FpRegRegOp::dest</a><code> [protected]</code> </td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
<p>
Definition at line <a class="el" href="vfp_8hh-source.html#l00915">915</a> of file <a class="el" href="vfp_8hh-source.html">vfp.hh</a>.
<p>
Referenced by <a class="el" href="vfp_8cc-source.html#l00080">generateDisassembly()</a>.
</div>
</div><p>
<a class="anchor" name="ba8ce5e7342bb702c5ba48f5c7bbaab9"></a><!-- doxytag: member="ArmISA::FpRegRegOp::op1" ref="ba8ce5e7342bb702c5ba48f5c7bbaab9" args="" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="namespaceArmISA.html#28f9c55fc1ae496fd36bca4b09be4a5f">IntRegIndex</a> <a class="el" href="classArmISA_1_1FpRegRegOp.html#ba8ce5e7342bb702c5ba48f5c7bbaab9">ArmISA::FpRegRegOp::op1</a><code> [protected]</code> </td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
<p>
Definition at line <a class="el" href="vfp_8hh-source.html#l00916">916</a> of file <a class="el" href="vfp_8hh-source.html">vfp.hh</a>.
<p>
Referenced by <a class="el" href="vfp_8cc-source.html#l00080">generateDisassembly()</a>.
</div>
</div><p>
<hr>The documentation for this class was generated from the following files:<ul>
<li>arch/arm/insts/<a class="el" href="vfp_8hh-source.html">vfp.hh</a><li>arch/arm/insts/<a class="el" href="vfp_8cc-source.html">vfp.cc</a></ul>
<hr size="1"><address style="align: right;"><small>
Generated on Fri Apr 17 12:40:51 2015 for gem5 by <a href="http://www.doxygen.org/index.html"> doxygen</a> 1.4.7</small></address>
</body>
</html>
|
doc/serialized-form.html | bkayser/pagerduty-java | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<B>Class <A HREF="com/newrelic/pagerduty/MessageException.html" title="class in com.newrelic.pagerduty">com.newrelic.pagerduty.MessageException</A> extends <A HREF="http://download.oracle.com/javase/6/docs/api/java/lang/Exception.html?is-external=true" title="class or interface in java.lang">Exception</A> implements Serializable</B></FONT></TH>
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<B>serialVersionUID: </B>1L
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cfmi/billing/templates/billing.html | nocko/cfmi | {% set active_nav = "billing" %}
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{% extends "layout.html" %}
{% block name %}Billing{% endblock %}
{% block header %}
<link rel="stylesheet" href="{{ url_for('billing.static', filename="css/style.css") }}?v=2">
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{% block title %}Billing{% endblock %}
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{% endblock %}
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doc/api/tracker/StartResult/StartResult.html | kyorohiro/dart_hetimatorrent | <!DOCTYPE html>
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0.14/auto_examples/inverse/plot_tf_lcmv.html | mne-tools/mne-tools.github.io | <!DOCTYPE html>
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<li><a class="reference internal" href="#">Time-frequency beamforming using LCMV</a><ul>
<li><a class="reference internal" href="#references">References</a></li>
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<div class="section" id="time-frequency-beamforming-using-lcmv">
<span id="sphx-glr-auto-examples-inverse-plot-tf-lcmv-py"></span><h1>Time-frequency beamforming using LCMV<a class="headerlink" href="#time-frequency-beamforming-using-lcmv" title="Permalink to this headline">¶</a></h1>
<p>Compute LCMV source power <a class="footnote-reference" href="#id2" id="id1">[1]</a> in a grid of time-frequency windows and
display results.</p>
<div class="section" id="references">
<h2>References<a class="headerlink" href="#references" title="Permalink to this headline">¶</a></h2>
<table class="docutils footnote" frame="void" id="id2" rules="none">
<colgroup><col class="label" /><col /></colgroup>
<tbody valign="top">
<tr><td class="label"><a class="fn-backref" href="#id1">[1]</a></td><td>Dalal et al. Five-dimensional neuroimaging: Localization of the
time-frequency dynamics of cortical activity.
NeuroImage (2008) vol. 40 (4) pp. 1686-1700</td></tr>
</tbody>
</table>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1"># Author: Roman Goj <roman.goj@gmail.com></span>
<span class="c1">#</span>
<span class="c1"># License: BSD (3-clause)</span>
<span class="kn">import</span> <span class="nn">mne</span>
<span class="kn">from</span> <span class="nn">mne</span> <span class="kn">import</span> <a href="../../generated/mne.compute_covariance.html#mne.compute_covariance" title="View documentation for mne.compute_covariance"><span class="n">compute_covariance</span></a>
<span class="kn">from</span> <span class="nn">mne.datasets</span> <span class="kn">import</span> <span class="n">sample</span>
<span class="kn">from</span> <span class="nn">mne.event</span> <span class="kn">import</span> <a href="../../generated/mne.make_fixed_length_events.html#mne.make_fixed_length_events" title="View documentation for mne.event.make_fixed_length_events"><span class="n">make_fixed_length_events</span></a>
<span class="kn">from</span> <span class="nn">mne.beamformer</span> <span class="kn">import</span> <span class="n">tf_lcmv</span>
<span class="kn">from</span> <span class="nn">mne.viz</span> <span class="kn">import</span> <span class="n">plot_source_spectrogram</span>
<span class="k">print</span><span class="p">(</span><span class="vm">__doc__</span><span class="p">)</span>
<span class="n">data_path</span> <span class="o">=</span> <a href="../../generated/mne.datasets.sample.data_path.html#mne.datasets.sample.data_path" title="View documentation for mne.datasets.sample.data_path"><span class="n">sample</span><span class="o">.</span><span class="n">data_path</span></a><span class="p">()</span>
<span class="n">raw_fname</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/MEG/sample/sample_audvis_raw.fif'</span>
<span class="n">noise_fname</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/MEG/sample/ernoise_raw.fif'</span>
<span class="n">event_fname</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/MEG/sample/sample_audvis_raw-eve.fif'</span>
<span class="n">fname_fwd</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/MEG/sample/sample_audvis-meg-eeg-oct-6-fwd.fif'</span>
<span class="n">subjects_dir</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/subjects'</span>
<span class="n">label_name</span> <span class="o">=</span> <span class="s1">'Aud-lh'</span>
<span class="n">fname_label</span> <span class="o">=</span> <span class="n">data_path</span> <span class="o">+</span> <span class="s1">'/MEG/sample/labels/</span><span class="si">%s</span><span class="s1">.label'</span> <span class="o">%</span> <span class="n">label_name</span>
</pre></div>
</div>
<p>Read raw data, preload to allow filtering</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">raw</span> <span class="o">=</span> <a href="../../generated/mne.io.read_raw_fif.html#mne.io.read_raw_fif" title="View documentation for mne.io.read_raw_fif"><span class="n">mne</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read_raw_fif</span></a><span class="p">(</span><span class="n">raw_fname</span><span class="p">,</span> <span class="n">preload</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">raw</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">'bads'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'MEG 2443'</span><span class="p">]</span> <span class="c1"># 1 bad MEG channel</span>
<span class="c1"># Pick a selection of magnetometer channels. A subset of all channels was used</span>
<span class="c1"># to speed up the example. For a solution based on all MEG channels use</span>
<span class="c1"># meg=True, selection=None and add grad=4000e-13 to the reject dictionary.</span>
<span class="c1"># We could do this with a "picks" argument to Epochs and the LCMV functions,</span>
<span class="c1"># but here we use raw.pick_types() to save memory.</span>
<span class="n">left_temporal_channels</span> <span class="o">=</span> <a href="../../generated/mne.read_selection.html#mne.read_selection" title="View documentation for mne.read_selection"><span class="n">mne</span><span class="o">.</span><span class="n">read_selection</span></a><span class="p">(</span><span class="s1">'Left-temporal'</span><span class="p">)</span>
<span class="n">raw</span><span class="o">.</span><span class="n">pick_types</span><span class="p">(</span><span class="n">meg</span><span class="o">=</span><span class="s1">'mag'</span><span class="p">,</span> <span class="n">eeg</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">eog</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">stim</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">exclude</span><span class="o">=</span><span class="s1">'bads'</span><span class="p">,</span>
<span class="n">selection</span><span class="o">=</span><span class="n">left_temporal_channels</span><span class="p">)</span>
<span class="n">reject</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">mag</span><span class="o">=</span><span class="mf">4e-12</span><span class="p">)</span>
<span class="c1"># Re-normalize our empty-room projectors, which should be fine after</span>
<span class="c1"># subselection</span>
<span class="n">raw</span><span class="o">.</span><span class="n">info</span><span class="o">.</span><span class="n">normalize_proj</span><span class="p">()</span>
<span class="c1"># Setting time limits for reading epochs. Note that tmin and tmax are set so</span>
<span class="c1"># that time-frequency beamforming will be performed for a wider range of time</span>
<span class="c1"># points than will later be displayed on the final spectrogram. This ensures</span>
<span class="c1"># that all time bins displayed represent an average of an equal number of time</span>
<span class="c1"># windows.</span>
<span class="n">tmin</span><span class="p">,</span> <span class="n">tmax</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.55</span><span class="p">,</span> <span class="mf">0.75</span> <span class="c1"># s</span>
<span class="n">tmin_plot</span><span class="p">,</span> <span class="n">tmax_plot</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.3</span><span class="p">,</span> <span class="mf">0.5</span> <span class="c1"># s</span>
<span class="c1"># Read epochs. Note that preload is set to False to enable tf_lcmv to read the</span>
<span class="c1"># underlying raw object.</span>
<span class="c1"># Filtering is then performed on raw data in tf_lcmv and the epochs</span>
<span class="c1"># parameters passed here are used to create epochs from filtered data. However,</span>
<span class="c1"># reading epochs without preloading means that bad epoch rejection is delayed</span>
<span class="c1"># until later. To perform bad epoch rejection based on the reject parameter</span>
<span class="c1"># passed here, run epochs.drop_bad(). This is done automatically in</span>
<span class="c1"># tf_lcmv to reject bad epochs based on unfiltered data.</span>
<span class="n">event_id</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">events</span> <span class="o">=</span> <a href="../../generated/mne.read_events.html#mne.read_events" title="View documentation for mne.read_events"><span class="n">mne</span><span class="o">.</span><span class="n">read_events</span></a><span class="p">(</span><span class="n">event_fname</span><span class="p">)</span>
<span class="n">epochs</span> <span class="o">=</span> <a href="../../generated/mne.Epochs.html#mne.Epochs" title="View documentation for mne.Epochs"><span class="n">mne</span><span class="o">.</span><span class="n">Epochs</span></a><span class="p">(</span><span class="n">raw</span><span class="p">,</span> <span class="n">events</span><span class="p">,</span> <span class="n">event_id</span><span class="p">,</span> <span class="n">tmin</span><span class="p">,</span> <span class="n">tmax</span><span class="p">,</span> <span class="n">proj</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span>
<span class="n">baseline</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">preload</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">reject</span><span class="o">=</span><span class="n">reject</span><span class="p">)</span>
<span class="c1"># Read empty room noise, preload to allow filtering, and pick subselection</span>
<span class="n">raw_noise</span> <span class="o">=</span> <a href="../../generated/mne.io.read_raw_fif.html#mne.io.read_raw_fif" title="View documentation for mne.io.read_raw_fif"><span class="n">mne</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">read_raw_fif</span></a><span class="p">(</span><span class="n">noise_fname</span><span class="p">,</span> <span class="n">preload</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">raw_noise</span><span class="o">.</span><span class="n">info</span><span class="p">[</span><span class="s1">'bads'</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'MEG 2443'</span><span class="p">]</span> <span class="c1"># 1 bad MEG channel</span>
<span class="n">raw_noise</span><span class="o">.</span><span class="n">pick_types</span><span class="p">(</span><span class="n">meg</span><span class="o">=</span><span class="s1">'mag'</span><span class="p">,</span> <span class="n">eeg</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">eog</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span> <span class="n">stim</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
<span class="n">exclude</span><span class="o">=</span><span class="s1">'bads'</span><span class="p">,</span> <span class="n">selection</span><span class="o">=</span><span class="n">left_temporal_channels</span><span class="p">)</span>
<span class="n">raw_noise</span><span class="o">.</span><span class="n">info</span><span class="o">.</span><span class="n">normalize_proj</span><span class="p">()</span>
<span class="c1"># Create artificial events for empty room noise data</span>
<span class="n">events_noise</span> <span class="o">=</span> <a href="../../generated/mne.make_fixed_length_events.html#mne.make_fixed_length_events" title="View documentation for mne.event.make_fixed_length_events"><span class="n">make_fixed_length_events</span></a><span class="p">(</span><span class="n">raw_noise</span><span class="p">,</span> <span class="n">event_id</span><span class="p">,</span> <span class="n">duration</span><span class="o">=</span><span class="mf">1.</span><span class="p">)</span>
<span class="c1"># Create an epochs object using preload=True to reject bad epochs based on</span>
<span class="c1"># unfiltered data</span>
<span class="n">epochs_noise</span> <span class="o">=</span> <a href="../../generated/mne.Epochs.html#mne.Epochs" title="View documentation for mne.Epochs"><span class="n">mne</span><span class="o">.</span><span class="n">Epochs</span></a><span class="p">(</span><span class="n">raw_noise</span><span class="p">,</span> <span class="n">events_noise</span><span class="p">,</span> <span class="n">event_id</span><span class="p">,</span> <span class="n">tmin</span><span class="p">,</span> <span class="n">tmax</span><span class="p">,</span>
<span class="n">proj</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">baseline</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">preload</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span> <span class="n">reject</span><span class="o">=</span><span class="n">reject</span><span class="p">)</span>
<span class="c1"># Make sure the number of noise epochs is the same as data epochs</span>
<span class="n">epochs_noise</span> <span class="o">=</span> <span class="n">epochs_noise</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">epochs</span><span class="o">.</span><span class="n">events</span><span class="p">)]</span>
<span class="c1"># Read forward operator</span>
<span class="n">forward</span> <span class="o">=</span> <a href="../../generated/mne.read_forward_solution.html#mne.read_forward_solution" title="View documentation for mne.read_forward_solution"><span class="n">mne</span><span class="o">.</span><span class="n">read_forward_solution</span></a><span class="p">(</span><span class="n">fname_fwd</span><span class="p">,</span> <span class="n">surf_ori</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="c1"># Read label</span>
<span class="n">label</span> <span class="o">=</span> <a href="../../generated/mne.read_label.html#mne.read_label" title="View documentation for mne.read_label"><span class="n">mne</span><span class="o">.</span><span class="n">read_label</span></a><span class="p">(</span><span class="n">fname_label</span><span class="p">)</span>
</pre></div>
</div>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-default"><div class="highlight"><pre><span></span><span class="n">Opening</span> <span class="n">raw</span> <span class="n">data</span> <span class="n">file</span> <span class="o">/</span><span class="n">home</span><span class="o">/</span><span class="n">ubuntu</span><span class="o">/</span><span class="n">mne_data</span><span class="o">/</span><span class="n">MNE</span><span class="o">-</span><span class="n">sample</span><span class="o">-</span><span class="n">data</span><span class="o">/</span><span class="n">MEG</span><span class="o">/</span><span class="n">sample</span><span class="o">/</span><span class="n">sample_audvis_raw</span><span class="o">.</span><span class="n">fif</span><span class="o">...</span>
<span class="n">Read</span> <span class="n">a</span> <span class="n">total</span> <span class="n">of</span> <span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span><span class="p">:</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v1</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v2</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v3</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">Range</span> <span class="p">:</span> <span class="mi">25800</span> <span class="o">...</span> <span class="mi">192599</span> <span class="o">=</span> <span class="mf">42.956</span> <span class="o">...</span> <span class="mf">320.670</span> <span class="n">secs</span>
<span class="n">Ready</span><span class="o">.</span>
<span class="n">Current</span> <span class="n">compensation</span> <span class="n">grade</span> <span class="p">:</span> <span class="mi">0</span>
<span class="n">Reading</span> <span class="mi">0</span> <span class="o">...</span> <span class="mi">166799</span> <span class="o">=</span> <span class="mf">0.000</span> <span class="o">...</span> <span class="mf">277.714</span> <span class="n">secs</span><span class="o">...</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Opening</span> <span class="n">raw</span> <span class="n">data</span> <span class="n">file</span> <span class="o">/</span><span class="n">home</span><span class="o">/</span><span class="n">ubuntu</span><span class="o">/</span><span class="n">mne_data</span><span class="o">/</span><span class="n">MNE</span><span class="o">-</span><span class="n">sample</span><span class="o">-</span><span class="n">data</span><span class="o">/</span><span class="n">MEG</span><span class="o">/</span><span class="n">sample</span><span class="o">/</span><span class="n">ernoise_raw</span><span class="o">.</span><span class="n">fif</span><span class="o">...</span>
<span class="n">Isotrak</span> <span class="ow">not</span> <span class="n">found</span>
<span class="n">Read</span> <span class="n">a</span> <span class="n">total</span> <span class="n">of</span> <span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span><span class="p">:</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v1</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v2</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">PCA</span><span class="o">-</span><span class="n">v3</span> <span class="p">(</span><span class="mi">1</span> <span class="n">x</span> <span class="mi">102</span><span class="p">)</span> <span class="n">idle</span>
<span class="n">Range</span> <span class="p">:</span> <span class="mi">19800</span> <span class="o">...</span> <span class="mi">85867</span> <span class="o">=</span> <span class="mf">32.966</span> <span class="o">...</span> <span class="mf">142.965</span> <span class="n">secs</span>
<span class="n">Ready</span><span class="o">.</span>
<span class="n">Current</span> <span class="n">compensation</span> <span class="n">grade</span> <span class="p">:</span> <span class="mi">0</span>
<span class="n">Reading</span> <span class="mi">0</span> <span class="o">...</span> <span class="mi">66067</span> <span class="o">=</span> <span class="mf">0.000</span> <span class="o">...</span> <span class="mf">109.999</span> <span class="n">secs</span><span class="o">...</span>
<span class="mi">110</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">110</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">1</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Reading</span> <span class="n">forward</span> <span class="n">solution</span> <span class="kn">from</span> <span class="o">/</span><span class="n">home</span><span class="o">/</span><span class="n">ubuntu</span><span class="o">/</span><span class="n">mne_data</span><span class="o">/</span><span class="n">MNE</span><span class="o">-</span><span class="n">sample</span><span class="o">-</span><span class="n">data</span><span class="o">/</span><span class="n">MEG</span><span class="o">/</span><span class="n">sample</span><span class="o">/</span><span class="n">sample_audvis</span><span class="o">-</span><span class="n">meg</span><span class="o">-</span><span class="n">eeg</span><span class="o">-</span><span class="nb">oct</span><span class="o">-</span><span class="mi">6</span><span class="o">-</span><span class="n">fwd</span><span class="o">.</span><span class="n">fif</span><span class="o">...</span>
<span class="n">Reading</span> <span class="n">a</span> <span class="n">source</span> <span class="n">space</span><span class="o">...</span>
<span class="n">Computing</span> <span class="n">patch</span> <span class="n">statistics</span><span class="o">...</span>
<span class="n">Patch</span> <span class="n">information</span> <span class="n">added</span><span class="o">...</span>
<span class="n">Distance</span> <span class="n">information</span> <span class="n">added</span><span class="o">...</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Reading</span> <span class="n">a</span> <span class="n">source</span> <span class="n">space</span><span class="o">...</span>
<span class="n">Computing</span> <span class="n">patch</span> <span class="n">statistics</span><span class="o">...</span>
<span class="n">Patch</span> <span class="n">information</span> <span class="n">added</span><span class="o">...</span>
<span class="n">Distance</span> <span class="n">information</span> <span class="n">added</span><span class="o">...</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="mi">2</span> <span class="n">source</span> <span class="n">spaces</span> <span class="n">read</span>
<span class="n">Desired</span> <span class="n">named</span> <span class="n">matrix</span> <span class="p">(</span><span class="n">kind</span> <span class="o">=</span> <span class="mi">3523</span><span class="p">)</span> <span class="ow">not</span> <span class="n">available</span>
<span class="n">Read</span> <span class="n">MEG</span> <span class="n">forward</span> <span class="n">solution</span> <span class="p">(</span><span class="mi">7498</span> <span class="n">sources</span><span class="p">,</span> <span class="mi">306</span> <span class="n">channels</span><span class="p">,</span> <span class="n">free</span> <span class="n">orientations</span><span class="p">)</span>
<span class="n">Desired</span> <span class="n">named</span> <span class="n">matrix</span> <span class="p">(</span><span class="n">kind</span> <span class="o">=</span> <span class="mi">3523</span><span class="p">)</span> <span class="ow">not</span> <span class="n">available</span>
<span class="n">Read</span> <span class="n">EEG</span> <span class="n">forward</span> <span class="n">solution</span> <span class="p">(</span><span class="mi">7498</span> <span class="n">sources</span><span class="p">,</span> <span class="mi">60</span> <span class="n">channels</span><span class="p">,</span> <span class="n">free</span> <span class="n">orientations</span><span class="p">)</span>
<span class="n">MEG</span> <span class="ow">and</span> <span class="n">EEG</span> <span class="n">forward</span> <span class="n">solutions</span> <span class="n">combined</span>
<span class="n">Source</span> <span class="n">spaces</span> <span class="n">transformed</span> <span class="n">to</span> <span class="n">the</span> <span class="n">forward</span> <span class="n">solution</span> <span class="n">coordinate</span> <span class="n">frame</span>
<span class="n">Converting</span> <span class="n">to</span> <span class="n">surface</span><span class="o">-</span><span class="n">based</span> <span class="n">source</span> <span class="n">orientations</span><span class="o">...</span>
<span class="n">Average</span> <span class="n">patch</span> <span class="n">normals</span> <span class="n">will</span> <span class="n">be</span> <span class="n">employed</span> <span class="ow">in</span> <span class="n">the</span> <span class="n">rotation</span> <span class="n">to</span> <span class="n">the</span> <span class="n">local</span> <span class="n">surface</span> <span class="n">coordinates</span><span class="o">....</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
</pre></div>
</div>
<p>Time-frequency beamforming based on LCMV</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1"># Setting frequency bins as in Dalal et al. 2008 (high gamma was subdivided)</span>
<span class="n">freq_bins</span> <span class="o">=</span> <span class="p">[(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">12</span><span class="p">),</span> <span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">30</span><span class="p">),</span> <span class="p">(</span><span class="mi">30</span><span class="p">,</span> <span class="mi">55</span><span class="p">),</span> <span class="p">(</span><span class="mi">65</span><span class="p">,</span> <span class="mi">299</span><span class="p">)]</span> <span class="c1"># Hz</span>
<span class="n">win_lengths</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.3</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">]</span> <span class="c1"># s</span>
<span class="c1"># Setting the time step</span>
<span class="n">tstep</span> <span class="o">=</span> <span class="mf">0.05</span>
<span class="c1"># Setting the whitened data covariance regularization parameter</span>
<span class="n">data_reg</span> <span class="o">=</span> <span class="mf">0.001</span>
<span class="c1"># Subtract evoked response prior to computation?</span>
<span class="n">subtract_evoked</span> <span class="o">=</span> <span class="bp">False</span>
<span class="c1"># Calculating covariance from empty room noise. To use baseline data as noise</span>
<span class="c1"># substitute raw for raw_noise, epochs.events for epochs_noise.events, tmin for</span>
<span class="c1"># desired baseline length, and 0 for tmax_plot.</span>
<span class="c1"># Note, if using baseline data, the averaged evoked response in the baseline</span>
<span class="c1"># period should be flat.</span>
<span class="n">noise_covs</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="p">(</span><span class="n">l_freq</span><span class="p">,</span> <span class="n">h_freq</span><span class="p">)</span> <span class="ow">in</span> <span class="n">freq_bins</span><span class="p">:</span>
<span class="n">raw_band</span> <span class="o">=</span> <span class="n">raw_noise</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">raw_band</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">l_freq</span><span class="p">,</span> <span class="n">h_freq</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">epochs_band</span> <span class="o">=</span> <a href="../../generated/mne.Epochs.html#mne.Epochs" title="View documentation for mne.Epochs"><span class="n">mne</span><span class="o">.</span><span class="n">Epochs</span></a><span class="p">(</span><span class="n">raw_band</span><span class="p">,</span> <span class="n">epochs_noise</span><span class="o">.</span><span class="n">events</span><span class="p">,</span> <span class="n">event_id</span><span class="p">,</span>
<span class="n">tmin</span><span class="o">=</span><span class="n">tmin_plot</span><span class="p">,</span> <span class="n">tmax</span><span class="o">=</span><span class="n">tmax_plot</span><span class="p">,</span> <span class="n">baseline</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">proj</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="n">noise_cov</span> <span class="o">=</span> <a href="../../generated/mne.compute_covariance.html#mne.compute_covariance" title="View documentation for mne.compute_covariance"><span class="n">compute_covariance</span></a><span class="p">(</span><span class="n">epochs_band</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">'shrunk'</span><span class="p">)</span>
<span class="n">noise_covs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">noise_cov</span><span class="p">)</span>
<span class="k">del</span> <span class="n">raw_band</span> <span class="c1"># to save memory</span>
<span class="c1"># Computing LCMV solutions for time-frequency windows in a label in source</span>
<span class="c1"># space for faster computation, use label=None for full solution</span>
<span class="n">stcs</span> <span class="o">=</span> <span class="n">tf_lcmv</span><span class="p">(</span><span class="n">epochs</span><span class="p">,</span> <span class="n">forward</span><span class="p">,</span> <span class="n">noise_covs</span><span class="p">,</span> <span class="n">tmin</span><span class="p">,</span> <span class="n">tmax</span><span class="p">,</span> <span class="n">tstep</span><span class="p">,</span> <span class="n">win_lengths</span><span class="p">,</span>
<span class="n">freq_bins</span><span class="o">=</span><span class="n">freq_bins</span><span class="p">,</span> <span class="n">subtract_evoked</span><span class="o">=</span><span class="n">subtract_evoked</span><span class="p">,</span>
<span class="n">reg</span><span class="o">=</span><span class="n">data_reg</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">label</span><span class="p">)</span>
<span class="c1"># Plotting source spectrogram for source with maximum activity.</span>
<span class="c1"># Note that tmin and tmax are set to display a time range that is smaller than</span>
<span class="c1"># the one for which beamforming estimates were calculated. This ensures that</span>
<span class="c1"># all time bins shown are a result of smoothing across an identical number of</span>
<span class="c1"># time windows.</span>
<span class="n">plot_source_spectrogram</span><span class="p">(</span><span class="n">stcs</span><span class="p">,</span> <span class="n">freq_bins</span><span class="p">,</span> <span class="n">tmin</span><span class="o">=</span><span class="n">tmin_plot</span><span class="p">,</span> <span class="n">tmax</span><span class="o">=</span><span class="n">tmax_plot</span><span class="p">,</span>
<span class="n">source_index</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">colorbar</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
</pre></div>
</div>
<img alt="../../_images/sphx_glr_plot_tf_lcmv_001.png" class="align-center" src="../../_images/sphx_glr_plot_tf_lcmv_001.png" />
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-default"><div class="highlight"><pre><span></span><span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">4</span> <span class="o">-</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">l_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">2.0</span> <span class="n">Hz</span>
<span class="n">h_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">3.0</span> <span class="n">Hz</span>
<span class="n">Filter</span> <span class="n">length</span> <span class="n">of</span> <span class="mi">1982</span> <span class="n">samples</span> <span class="p">(</span><span class="mf">3.300</span> <span class="n">sec</span><span class="p">)</span> <span class="n">selected</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">481</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">SHRUNK</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">34632</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">shrunk</span><span class="p">:</span> <span class="o">-</span><span class="mf">35.028</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">shrunk</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">12</span> <span class="o">-</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">l_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">3.0</span> <span class="n">Hz</span>
<span class="n">h_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">7.5</span> <span class="n">Hz</span>
<span class="n">Filter</span> <span class="n">length</span> <span class="n">of</span> <span class="mi">1321</span> <span class="n">samples</span> <span class="p">(</span><span class="mf">2.199</span> <span class="n">sec</span><span class="p">)</span> <span class="n">selected</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">481</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">SHRUNK</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">34632</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">shrunk</span><span class="p">:</span> <span class="o">-</span><span class="mf">38.827</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">shrunk</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">30</span> <span class="o">-</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">l_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">7.5</span> <span class="n">Hz</span>
<span class="n">h_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">13.8</span> <span class="n">Hz</span>
<span class="n">Filter</span> <span class="n">length</span> <span class="n">of</span> <span class="mi">529</span> <span class="n">samples</span> <span class="p">(</span><span class="mf">0.881</span> <span class="n">sec</span><span class="p">)</span> <span class="n">selected</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">481</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">SHRUNK</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">34632</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">shrunk</span><span class="p">:</span> <span class="o">-</span><span class="mf">39.998</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">shrunk</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">65</span> <span class="o">-</span> <span class="mf">3e+02</span> <span class="n">Hz</span>
<span class="n">l_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">16.2</span> <span class="n">Hz</span>
<span class="n">h_trans_bandwidth</span> <span class="n">chosen</span> <span class="n">to</span> <span class="n">be</span> <span class="mf">1.3</span> <span class="n">Hz</span>
<span class="n">Filter</span> <span class="n">length</span> <span class="n">of</span> <span class="mi">3032</span> <span class="n">samples</span> <span class="p">(</span><span class="mf">5.048</span> <span class="n">sec</span><span class="p">)</span> <span class="n">selected</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">481</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">SHRUNK</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">34632</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">shrunk</span><span class="p">:</span> <span class="o">-</span><span class="mf">46.416</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">shrunk</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">4</span> <span class="o">-</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">550</span> <span class="n">to</span> <span class="o">-</span><span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.244</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">500</span> <span class="n">to</span> <span class="o">-</span><span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.144</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">450</span> <span class="n">to</span> <span class="o">-</span><span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.026</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">400</span> <span class="n">to</span> <span class="o">-</span><span class="mi">100</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.947</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">350</span> <span class="n">to</span> <span class="o">-</span><span class="mi">50</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.763</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">300</span> <span class="n">to</span> <span class="mi">0</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.751</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">250</span> <span class="n">to</span> <span class="mi">49</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.974</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">200</span> <span class="n">to</span> <span class="mi">99</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.214</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">150</span> <span class="n">to</span> <span class="mi">149</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.540</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">100</span> <span class="n">to</span> <span class="mi">199</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.812</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">50</span> <span class="n">to</span> <span class="mi">249</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">111.077</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">0</span> <span class="n">to</span> <span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">111.140</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">50</span> <span class="n">to</span> <span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">111.043</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">99</span> <span class="n">to</span> <span class="mi">399</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.806</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">150</span> <span class="n">to</span> <span class="mi">450</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.429</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">199</span> <span class="n">to</span> <span class="mi">499</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.000</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">250</span> <span class="n">to</span> <span class="mi">550</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.818</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">300</span> <span class="n">to</span> <span class="mi">600</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.714</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">350</span> <span class="n">to</span> <span class="mi">649</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.836</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">400</span> <span class="n">to</span> <span class="mi">700</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.008</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">449</span> <span class="n">to</span> <span class="mi">750</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">4</span> <span class="n">to</span> <span class="mi">12</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">13032</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">110.190</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">12</span> <span class="o">-</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">550</span> <span class="n">to</span> <span class="o">-</span><span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.808</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">500</span> <span class="n">to</span> <span class="o">-</span><span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.679</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">450</span> <span class="n">to</span> <span class="o">-</span><span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.375</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">400</span> <span class="n">to</span> <span class="o">-</span><span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.106</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">350</span> <span class="n">to</span> <span class="o">-</span><span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.065</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">300</span> <span class="n">to</span> <span class="o">-</span><span class="mi">100</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.155</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">250</span> <span class="n">to</span> <span class="o">-</span><span class="mi">49</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.339</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">200</span> <span class="n">to</span> <span class="mi">0</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.334</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">150</span> <span class="n">to</span> <span class="mi">49</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.192</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">100</span> <span class="n">to</span> <span class="mi">99</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.436</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">50</span> <span class="n">to</span> <span class="mi">149</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.563</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">0</span> <span class="n">to</span> <span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.714</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">50</span> <span class="n">to</span> <span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.673</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">99</span> <span class="n">to</span> <span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.360</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">150</span> <span class="n">to</span> <span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.227</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">199</span> <span class="n">to</span> <span class="mi">399</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.276</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">250</span> <span class="n">to</span> <span class="mi">450</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.464</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">300</span> <span class="n">to</span> <span class="mi">500</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.607</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">350</span> <span class="n">to</span> <span class="mi">550</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.616</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">400</span> <span class="n">to</span> <span class="mi">600</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.600</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">449</span> <span class="n">to</span> <span class="mi">649</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.379</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">500</span> <span class="n">to</span> <span class="mi">700</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.566</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">550</span> <span class="n">to</span> <span class="mi">750</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">12</span> <span class="n">to</span> <span class="mi">30</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">8712</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">109.801</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">30</span> <span class="o">-</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">550</span> <span class="n">to</span> <span class="o">-</span><span class="mi">400</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.461</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">500</span> <span class="n">to</span> <span class="o">-</span><span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.516</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">450</span> <span class="n">to</span> <span class="o">-</span><span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.452</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">400</span> <span class="n">to</span> <span class="o">-</span><span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.221</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">350</span> <span class="n">to</span> <span class="o">-</span><span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.103</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">300</span> <span class="n">to</span> <span class="o">-</span><span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.174</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">250</span> <span class="n">to</span> <span class="o">-</span><span class="mi">100</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.388</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">200</span> <span class="n">to</span> <span class="o">-</span><span class="mi">50</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.363</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">150</span> <span class="n">to</span> <span class="mi">0</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.296</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">100</span> <span class="n">to</span> <span class="mi">49</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.193</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">50</span> <span class="n">to</span> <span class="mi">99</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.357</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">0</span> <span class="n">to</span> <span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.545</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">50</span> <span class="n">to</span> <span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.427</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">99</span> <span class="n">to</span> <span class="mi">249</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.391</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">150</span> <span class="n">to</span> <span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.354</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">199</span> <span class="n">to</span> <span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.308</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">250</span> <span class="n">to</span> <span class="mi">400</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.190</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">300</span> <span class="n">to</span> <span class="mi">450</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.145</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">350</span> <span class="n">to</span> <span class="mi">500</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.140</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">400</span> <span class="n">to</span> <span class="mi">550</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.190</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">449</span> <span class="n">to</span> <span class="mi">600</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.120</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">500</span> <span class="n">to</span> <span class="mi">650</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.129</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">550</span> <span class="n">to</span> <span class="mi">700</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.234</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">600</span> <span class="n">to</span> <span class="mi">750</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">30</span> <span class="n">to</span> <span class="mi">55</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">6552</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">106.309</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Setting</span> <span class="n">up</span> <span class="n">band</span><span class="o">-</span><span class="k">pass</span> <span class="nb">filter</span> <span class="kn">from</span> <span class="mi">65</span> <span class="o">-</span> <span class="mf">3e+02</span> <span class="n">Hz</span>
<span class="mi">72</span> <span class="n">matching</span> <span class="n">events</span> <span class="n">found</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="mi">3</span> <span class="n">projection</span> <span class="n">items</span> <span class="n">activated</span>
<span class="n">Loading</span> <span class="n">data</span> <span class="k">for</span> <span class="mi">72</span> <span class="n">events</span> <span class="ow">and</span> <span class="mi">781</span> <span class="n">original</span> <span class="n">time</span> <span class="n">points</span> <span class="o">...</span>
<span class="mi">0</span> <span class="n">bad</span> <span class="n">epochs</span> <span class="n">dropped</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">550</span> <span class="n">to</span> <span class="o">-</span><span class="mi">450</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.443</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">500</span> <span class="n">to</span> <span class="o">-</span><span class="mi">400</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.483</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">450</span> <span class="n">to</span> <span class="o">-</span><span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.342</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">400</span> <span class="n">to</span> <span class="o">-</span><span class="mi">300</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.207</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">350</span> <span class="n">to</span> <span class="o">-</span><span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.290</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">300</span> <span class="n">to</span> <span class="o">-</span><span class="mi">200</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.216</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">250</span> <span class="n">to</span> <span class="o">-</span><span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.235</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">200</span> <span class="n">to</span> <span class="o">-</span><span class="mi">100</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.308</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">150</span> <span class="n">to</span> <span class="o">-</span><span class="mi">50</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.337</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">100</span> <span class="n">to</span> <span class="mi">0</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.508</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="o">-</span><span class="mi">50</span> <span class="n">to</span> <span class="mi">49</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.434</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">0</span> <span class="n">to</span> <span class="mi">100</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.415</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">50</span> <span class="n">to</span> <span class="mi">150</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.406</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">99</span> <span class="n">to</span> <span class="mi">199</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.308</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">150</span> <span class="n">to</span> <span class="mi">250</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.256</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">199</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.267</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">250</span> <span class="n">to</span> <span class="mi">350</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.341</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">300</span> <span class="n">to</span> <span class="mi">400</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.310</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">350</span> <span class="n">to</span> <span class="mi">449</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.279</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">400</span> <span class="n">to</span> <span class="mi">500</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.332</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">449</span> <span class="n">to</span> <span class="mi">549</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.438</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">500</span> <span class="n">to</span> <span class="mi">600</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.409</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">550</span> <span class="n">to</span> <span class="mi">650</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.307</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">600</span> <span class="n">to</span> <span class="mi">700</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.227</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">650</span> <span class="n">to</span> <span class="mi">750</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.212</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">Adding</span> <span class="n">a</span> <span class="n">time</span> <span class="n">window</span> <span class="n">to</span> <span class="n">cover</span> <span class="n">last</span> <span class="n">time</span> <span class="n">points</span>
<span class="n">Computing</span> <span class="n">time</span><span class="o">-</span><span class="n">frequency</span> <span class="n">LCMV</span> <span class="n">beamformer</span> <span class="k">for</span> <span class="n">time</span> <span class="n">window</span> <span class="mi">650</span> <span class="n">to</span> <span class="mi">750</span> <span class="n">ms</span><span class="p">,</span> <span class="ow">in</span> <span class="n">frequency</span> <span class="nb">range</span> <span class="mi">65</span> <span class="n">to</span> <span class="mi">299</span> <span class="n">Hz</span>
<span class="n">Estimating</span> <span class="n">covariance</span> <span class="n">using</span> <span class="n">EMPIRICAL</span>
<span class="n">Done</span><span class="o">.</span>
<span class="n">Using</span> <span class="n">cross</span><span class="o">-</span><span class="n">validation</span> <span class="n">to</span> <span class="n">select</span> <span class="n">the</span> <span class="n">best</span> <span class="n">estimator</span><span class="o">.</span>
<span class="n">Number</span> <span class="n">of</span> <span class="n">samples</span> <span class="n">used</span> <span class="p">:</span> <span class="mi">4392</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
<span class="n">log</span><span class="o">-</span><span class="n">likelihood</span> <span class="n">on</span> <span class="n">unseen</span> <span class="n">data</span> <span class="p">(</span><span class="n">descending</span> <span class="n">order</span><span class="p">):</span>
<span class="n">empirical</span><span class="p">:</span> <span class="o">-</span><span class="mf">112.212</span>
<span class="n">selecting</span> <span class="n">best</span> <span class="n">estimator</span><span class="p">:</span> <span class="n">empirical</span>
<span class="mi">13</span> <span class="n">out</span> <span class="n">of</span> <span class="mi">366</span> <span class="n">channels</span> <span class="n">remain</span> <span class="n">after</span> <span class="n">picking</span>
<span class="n">Created</span> <span class="n">an</span> <span class="n">SSP</span> <span class="n">operator</span> <span class="p">(</span><span class="n">subspace</span> <span class="n">dimension</span> <span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">estimated</span> <span class="n">rank</span> <span class="p">(</span><span class="n">mag</span><span class="p">):</span> <span class="mi">10</span>
<span class="n">Setting</span> <span class="n">small</span> <span class="n">MEG</span> <span class="n">eigenvalues</span> <span class="n">to</span> <span class="n">zero</span><span class="o">.</span>
<span class="n">Not</span> <span class="n">doing</span> <span class="n">PCA</span> <span class="k">for</span> <span class="n">MEG</span><span class="o">.</span>
<span class="p">[</span><span class="n">done</span><span class="p">]</span>
</pre></div>
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<div class="section" id="mne-time-frequency-morlet">
<h1>mne.time_frequency.morlet<a class="headerlink" href="#mne-time-frequency-morlet" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="mne.time_frequency.morlet">
<code class="descclassname">mne.time_frequency.</code><code class="descname">morlet</code><span class="sig-paren">(</span><em>sfreq</em>, <em>freqs</em>, <em>n_cycles=7</em>, <em>sigma=None</em>, <em>zero_mean=False</em><span class="sig-paren">)</span><a class="headerlink" href="#mne.time_frequency.morlet" title="Permalink to this definition">¶</a></dt>
<dd><p>Compute Wavelets for the given frequency range</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>sfreq</strong> : float</p>
<blockquote>
<div><p>Sampling Frequency</p>
</div></blockquote>
<p><strong>freqs</strong> : array</p>
<blockquote>
<div><p>frequency range of interest (1 x Frequencies)</p>
</div></blockquote>
<p><strong>n_cycles: float | array of float</strong> :</p>
<blockquote>
<div><p>Number of cycles. Fixed number or one per frequency.</p>
</div></blockquote>
<p><strong>sigma</strong> : float, (optional)</p>
<blockquote>
<div><p>It controls the width of the wavelet ie its temporal
resolution. If sigma is None the temporal resolution
is adapted with the frequency like for all wavelet transform.
The higher the frequency the shorter is the wavelet.
If sigma is fixed the temporal resolution is fixed
like for the short time Fourier transform and the number
of oscillations increases with the frequency.</p>
</div></blockquote>
<p><strong>zero_mean</strong> : bool</p>
<blockquote>
<div><p>Make sure the wavelet is zero mean</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>Ws</strong> : list of array</p>
<blockquote class="last">
<div><p>Wavelets time series</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
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<h1 id="generated-statsmodels-discrete-discrete-model-countmodel-cov-params-func-l1--page-root">statsmodels.discrete.discrete_model.CountModel.cov_params_func_l1<a class="headerlink" href="#generated-statsmodels-discrete-discrete-model-countmodel-cov-params-func-l1--page-root" title="Permalink to this headline">¶</a></h1>
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<dt id="statsmodels.discrete.discrete_model.CountModel.cov_params_func_l1">
<code class="sig-prename descclassname">CountModel.</code><code class="sig-name descname">cov_params_func_l1</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">likelihood_model</span></em>, <em class="sig-param"><span class="n">xopt</span></em>, <em class="sig-param"><span class="n">retvals</span></em><span class="sig-paren">)</span><a class="headerlink" href="#statsmodels.discrete.discrete_model.CountModel.cov_params_func_l1" title="Permalink to this definition">¶</a></dt>
<dd><p>Computes cov_params on a reduced parameter space
corresponding to the nonzero parameters resulting from the
l1 regularized fit.</p>
<p>Returns a full cov_params matrix, with entries corresponding
to zero’d values set to np.nan.</p>
</dd></dl>
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<h1>statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults<a class="headerlink" href="#statsmodels-tsa-vector-ar-hypothesis-test-results-causalitytestresults" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults">
<em class="property">class </em><code class="descclassname">statsmodels.tsa.vector_ar.hypothesis_test_results.</code><code class="descname">CausalityTestResults</code><span class="sig-paren">(</span><em>causing</em>, <em>caused</em>, <em>test_statistic</em>, <em>crit_value</em>, <em>pvalue</em>, <em>df</em>, <em>signif</em>, <em>test='granger'</em>, <em>method=None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/statsmodels/tsa/vector_ar/hypothesis_test_results.html#CausalityTestResults"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults" title="Permalink to this definition">¶</a></dt>
<dd><p>Results class for Granger-causality and instantaneous causality.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
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<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>causing</strong> (<em>list of str</em>) – This list contains the potentially causing variables.</li>
<li><strong>caused</strong> (<em>list of str</em>) – This list contains the potentially caused variables.</li>
<li><strong>test_statistic</strong> (<em>float</em>) – </li>
<li><strong>crit_value</strong> (<em>float</em>) – </li>
<li><strong>pvalue</strong> (<em>float</em>) – </li>
<li><strong>df</strong> (<em>int</em>) – Degrees of freedom.</li>
<li><strong>signif</strong> (<em>float</em>) – Significance level.</li>
<li><strong>test</strong> (str {<code class="docutils literal notranslate"><span class="pre">"granger"</span></code>, <code class="docutils literal notranslate"><span class="pre">"inst"</span></code>}, default: <code class="docutils literal notranslate"><span class="pre">"granger"</span></code>) – If <code class="docutils literal notranslate"><span class="pre">"granger"</span></code>, Granger-causality has been tested. If <code class="docutils literal notranslate"><span class="pre">"inst"</span></code>,
instantaneous causality has been tested.</li>
<li><strong>method</strong> (str {<code class="docutils literal notranslate"><span class="pre">"f"</span></code>, <code class="docutils literal notranslate"><span class="pre">"wald"</span></code>}) – The kind of test. <code class="docutils literal notranslate"><span class="pre">"f"</span></code> indicates an F-test, <code class="docutils literal notranslate"><span class="pre">"wald"</span></code> indicates a
Wald-test.</li>
</ul>
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<h1>Source code for colour.models.dataset.rec_2020</h1><div class="highlight"><pre>
<span class="c">#!/usr/bin/env python</span>
<span class="c"># -*- coding: utf-8 -*-</span>
<span class="sd">"""</span>
<span class="sd">Rec. 2020 Colourspace</span>
<span class="sd">=====================</span>
<span class="sd">Defines the *Rec. 2020* colourspace:</span>
<span class="sd">- :attr:`REC_2020_COLOURSPACE`.</span>
<span class="sd">See Also</span>
<span class="sd">--------</span>
<span class="sd">`RGB Colourspaces IPython Notebook</span>
<span class="sd"><http://nbviewer.ipython.org/github/colour-science/colour-ipython/blob/master/notebooks/models/rgb.ipynb>`_ # noqa</span>
<span class="sd">References</span>
<span class="sd">----------</span>
<span class="sd">.. [1] http://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.2020-0-201208-I!!PDF-E.pdf # noqa</span>
<span class="sd"> (Last accessed 13 April 2014)</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">division</span><span class="p">,</span> <span class="n">unicode_literals</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">colour.colorimetry</span> <span class="kn">import</span> <span class="n">ILLUMINANTS</span>
<span class="kn">from</span> <span class="nn">colour.models</span> <span class="kn">import</span> <span class="n">RGB_Colourspace</span><span class="p">,</span> <span class="n">normalised_primary_matrix</span>
<span class="kn">from</span> <span class="nn">colour.utilities</span> <span class="kn">import</span> <span class="n">Structure</span>
<span class="n">__author__</span> <span class="o">=</span> <span class="s">'Colour Developers'</span>
<span class="n">__copyright__</span> <span class="o">=</span> <span class="s">'Copyright (C) 2013 - 2014 - Colour Developers'</span>
<span class="n">__license__</span> <span class="o">=</span> <span class="s">'New BSD License - http://opensource.org/licenses/BSD-3-Clause'</span>
<span class="n">__maintainer__</span> <span class="o">=</span> <span class="s">'Colour Developers'</span>
<span class="n">__email__</span> <span class="o">=</span> <span class="s">'colour-science@googlegroups.com'</span>
<span class="n">__status__</span> <span class="o">=</span> <span class="s">'Production'</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s">'REC_2020_PRIMARIES'</span><span class="p">,</span>
<span class="s">'REC_2020_WHITEPOINT'</span><span class="p">,</span>
<span class="s">'REC_2020_TO_XYZ_MATRIX'</span><span class="p">,</span>
<span class="s">'XYZ_TO_REC_2020_MATRIX'</span><span class="p">,</span>
<span class="s">'REC_2020_CONSTANTS'</span><span class="p">,</span>
<span class="s">'REC_2020_TRANSFER_FUNCTION'</span><span class="p">,</span>
<span class="s">'REC_2020_INVERSE_TRANSFER_FUNCTION'</span><span class="p">,</span>
<span class="s">'REC_2020_COLOURSPACE'</span><span class="p">]</span>
<span class="n">REC_2020_PRIMARIES</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
<span class="p">[[</span><span class="mf">0.708</span><span class="p">,</span> <span class="mf">0.292</span><span class="p">],</span>
<span class="p">[</span><span class="mf">0.170</span><span class="p">,</span> <span class="mf">0.797</span><span class="p">],</span>
<span class="p">[</span><span class="mf">0.131</span><span class="p">,</span> <span class="mf">0.046</span><span class="p">]])</span>
<span class="sd">"""</span>
<span class="sd">*Rec. 2020* colourspace primaries.</span>
<span class="sd">REC_2020_PRIMARIES : ndarray, (3, 2)</span>
<span class="sd">"""</span>
<span class="n">REC_2020_WHITEPOINT</span> <span class="o">=</span> <span class="n">ILLUMINANTS</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
<span class="s">'CIE 1931 2 Degree Standard Observer'</span><span class="p">)</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s">'D65'</span><span class="p">)</span>
<span class="sd">"""</span>
<span class="sd">*Rec. 2020* colourspace whitepoint.</span>
<span class="sd">REC_2020_WHITEPOINT : tuple</span>
<span class="sd">"""</span>
<span class="n">REC_2020_TO_XYZ_MATRIX</span> <span class="o">=</span> <span class="n">normalised_primary_matrix</span><span class="p">(</span><span class="n">REC_2020_PRIMARIES</span><span class="p">,</span>
<span class="n">REC_2020_WHITEPOINT</span><span class="p">)</span>
<span class="sd">"""</span>
<span class="sd">*Rec. 2020* colourspace to *CIE XYZ* colourspace matrix.</span>
<span class="sd">REC_2020_TO_XYZ_MATRIX : array_like, (3, 3)</span>
<span class="sd">"""</span>
<span class="n">XYZ_TO_REC_2020_MATRIX</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">inv</span><span class="p">(</span><span class="n">REC_2020_TO_XYZ_MATRIX</span><span class="p">)</span>
<span class="sd">"""</span>
<span class="sd">*CIE XYZ* colourspace to *Rec. 2020* colourspace matrix.</span>
<span class="sd">XYZ_TO_REC_2020_MATRIX : array_like, (3, 3)</span>
<span class="sd">"""</span>
<span class="n">REC_2020_CONSTANTS</span> <span class="o">=</span> <span class="n">Structure</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="mf">1.099</span> <span class="k">if</span> <span class="n">x</span> <span class="k">else</span> <span class="mf">1.0993</span><span class="p">,</span>
<span class="n">beta</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="mf">0.018</span> <span class="k">if</span> <span class="n">x</span> <span class="k">else</span> <span class="mf">0.0181</span><span class="p">)</span>
<span class="sd">"""</span>
<span class="sd">*CIE XYZ* constants.</span>
<span class="sd">REC_2020_CONSTANTS : Structure</span>
<span class="sd">"""</span>
<span class="k">def</span> <span class="nf">_rec_2020_transfer_function</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">is_10_bits_system</span><span class="o">=</span><span class="bp">True</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Defines the *Rec. 2020* colourspace transfer function.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value : numeric</span>
<span class="sd"> value.</span>
<span class="sd"> is_10_bits_system : bool</span>
<span class="sd"> *Rec. 709* *alpha* and *beta* constants are used if system is 10 bit.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :rtype: numeric</span>
<span class="sd"> :return: Companded value.</span>
<span class="sd"> References</span>
<span class="sd"> ----------</span>
<span class="sd"> .. [2] `Recommendation ITU-R BT.2020: Signal Format</span>
<span class="sd"> <http://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.2020-0-201208-I!!PDF-E.pdf>`_ # noqa</span>
<span class="sd"> (Last accessed 13 April 2014)</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="p">(</span><span class="n">value</span> <span class="o">*</span> <span class="mf">4.5</span>
<span class="k">if</span> <span class="n">value</span> <span class="o"><</span> <span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">beta</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">)</span> <span class="k">else</span>
<span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">alpha</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">)</span> <span class="o">*</span>
<span class="p">(</span><span class="n">value</span> <span class="o">**</span> <span class="mf">0.45</span><span class="p">)</span> <span class="o">-</span>
<span class="p">(</span><span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">alpha</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">_rec_2020_inverse_transfer_function</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">is_10_bits_system</span><span class="o">=</span><span class="bp">True</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Defines the *Rec. 2020* colourspace inverse transfer function.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value : numeric</span>
<span class="sd"> value.</span>
<span class="sd"> is_10_bits_system : bool</span>
<span class="sd"> *Rec. 709* *alpha* and *beta* constants are used if system is 10 bit.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> :rtype: numeric</span>
<span class="sd"> :return: Companded value.</span>
<span class="sd"> References</span>
<span class="sd"> ----------</span>
<span class="sd"> .. [3] `Recommendation ITU-R BT.2020: Signal Format</span>
<span class="sd"> <http://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.2020-0-201208-I!!PDF-E.pdf>`_ # noqa</span>
<span class="sd"> (Last accessed 13 April 2014)</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="p">(</span><span class="n">value</span> <span class="o">/</span> <span class="mf">4.5</span>
<span class="k">if</span> <span class="n">value</span> <span class="o"><</span> <span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">beta</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">)</span> <span class="k">else</span>
<span class="p">((</span><span class="n">value</span> <span class="o">+</span> <span class="p">(</span><span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">alpha</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span> <span class="o">/</span>
<span class="n">REC_2020_CONSTANTS</span><span class="o">.</span><span class="n">alpha</span><span class="p">(</span><span class="n">is_10_bits_system</span><span class="p">))</span> <span class="o">**</span> <span class="p">(</span><span class="mi">1</span> <span class="o">/</span> <span class="mf">0.45</span><span class="p">))</span>
<span class="n">REC_2020_TRANSFER_FUNCTION</span> <span class="o">=</span> <span class="n">_rec_2020_transfer_function</span>
<span class="sd">"""</span>
<span class="sd">Transfer function from linear to *Rec. 2020* colourspace.</span>
<span class="sd">REC_2020_TRANSFER_FUNCTION : object</span>
<span class="sd">"""</span>
<span class="n">REC_2020_INVERSE_TRANSFER_FUNCTION</span> <span class="o">=</span> <span class="n">_rec_2020_inverse_transfer_function</span>
<span class="sd">"""</span>
<span class="sd">Inverse transfer function from *Rec. 2020* colourspace to linear.</span>
<span class="sd">REC_2020_INVERSE_TRANSFER_FUNCTION : object</span>
<span class="sd">"""</span>
<span class="n">REC_2020_COLOURSPACE</span> <span class="o">=</span> <span class="n">RGB_Colourspace</span><span class="p">(</span>
<span class="s">'Rec. 2020'</span><span class="p">,</span>
<span class="n">REC_2020_PRIMARIES</span><span class="p">,</span>
<span class="n">REC_2020_WHITEPOINT</span><span class="p">,</span>
<span class="n">REC_2020_TO_XYZ_MATRIX</span><span class="p">,</span>
<span class="n">XYZ_TO_REC_2020_MATRIX</span><span class="p">,</span>
<span class="n">REC_2020_TRANSFER_FUNCTION</span><span class="p">,</span>
<span class="n">REC_2020_INVERSE_TRANSFER_FUNCTION</span><span class="p">)</span>
<span class="sd">"""</span>
<span class="sd">*Rec. 2020* colourspace.</span>
<span class="sd">REC_2020_COLOURSPACE : RGB_Colourspace</span>
<span class="sd">"""</span>
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documentation/api/core/db_Service_Simpy_LinkSet.html | wukchung/Home-development | <html xmlns="http://www.w3.org/1999/xhtml"><head><title>Zend Framework API Documentation</title><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></meta><link rel="stylesheet" href="css/black-tie/jquery-ui-1.8.2.custom.css" type="text/css"></link><link rel="stylesheet" href="css/jquery.treeview.css" type="text/css"></link><link rel="stylesheet" href="css/theme.css" type="text/css"></link><script type="text/javascript" src="js/jquery-1.4.2.min.js"></script><script type="text/javascript" src="js/jquery-ui-1.8.2.custom.min.js"></script><script type="text/javascript" src="js/jquery.cookie.js"></script><script type="text/javascript" src="js/jquery.treeview.js"></script><script type="text/javascript">
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</script><h1 class="file">Service/Simpy/LinkSet.php</h1>
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<p class="short-description">Zend Framework</p>
<div class="long-description"><p>LICENSE</p>
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<dl class="file-info">
<dt>category</dt>
<dd>Zend
</dd>
<dt>copyright</dt>
<dd>Copyright (c) 2005-2011 Zend Technologies USA Inc. (http://www.zend.com)
</dd>
<dt>license</dt>
<dd>
<a href="http://framework.zend.com/license/new-bsd">New BSD License</a>
</dd>
<dt>package</dt>
<dd>Zend_Service
</dd>
<dt>subpackage</dt>
<dd>Simpy
</dd>
<dt>version</dt>
<dd>$Id: LinkSet.php 23775 2011-03-01 17:25:24Z ralph $
</dd>
</dl>
<a name="classes"></a><a id="\Zend_Service_Simpy_LinkSet"></a><h2 class="class">\Zend_Service_Simpy_LinkSet<div class="to-top"><a href="#top">jump to top</a></div>
</h2>
<div class="class">
<p class="short-description"></p>
<div class="long-description">
</div>
<dl class="class-info">
<dt>Implements</dt>
<dd></dd>
<dt>category</dt>
<dd>Zend
</dd>
<dt>copyright</dt>
<dd>Copyright (c) 2005-2011 Zend Technologies USA Inc. (http://www.zend.com)
</dd>
<dt>license</dt>
<dd>
<a href="http://framework.zend.com/license/new-bsd">New BSD License</a>
</dd>
<dt>package</dt>
<dd>Zend_Service
</dd>
<dt>subpackage</dt>
<dd>Simpy
</dd>
</dl>
<h3>Properties</h3>
<div>
<a id="\Zend_Service_Simpy_LinkSet::$_links"></a><div class="property">
<a href="#" class="gripper"><img src="images/icons/arrow_right.png"><img src="images/icons/arrow_down.png" style="display: none;"></a><code><img src="images/icons/property.png" alt="Property"><img src="images/icons/visibility_protected.png" style="margin-right: 5px" alt="protected">array
<span class="highlight">$_links</span>= ''
</code><div class="description">
<p class="short-description">List of links</p>of Zend_Service_Simpy_Link objects</div>
<div class="code-tabs">
<div class="long-description">
</div>
<strong>Details</strong><dl class="property-info">
<dt>Type</dt>
<dd>array</dd>
</dl>
</div>
<div class="clear"></div>
</div>
</div>
<h3>Methods</h3>
<div>
<a id="\Zend_Service_Simpy_LinkSet::__construct()"></a><div class="method">
<a href="#" class="gripper"><img src="images/icons/arrow_right.png"><img src="images/icons/arrow_down.png" style="display: none;"></a><code><img src="images/icons/method.png" alt="method"><img src="images/icons/visibility_public.png" style="margin-right: 5px" alt="public"><span class="highlight">__construct</span><span class="nb-faded-text">(
<a href="http://php.net/manual/en/class.domdocument.php">\DOMDocument</a> $doc
)
</span>
:
void</code><div class="description"><p class="short_description">Constructor to initialize the object with data</p></div>
<div class="code-tabs">
<div class="long-description">
</div>
<strong>Parameters</strong><table class="argument-info">
<thead><tr>
<th>Name</th>
<th>Type</th>
<th>Description</th>
</tr></thead>
<tr>
<th>$doc</th>
<td><a href="http://php.net/manual/en/class.domdocument.php">\DOMDocument</a></td>
<td><em>Parsed response from a GetLinks operation</em></td>
</tr>
</table>
</div>
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</div>
<a id="\Zend_Service_Simpy_LinkSet::getIterator()"></a><div class="method">
<a href="#" class="gripper"><img src="images/icons/arrow_right.png"><img src="images/icons/arrow_down.png" style="display: none;"></a><code><img src="images/icons/method.png" alt="method"><img src="images/icons/visibility_public.png" style="margin-right: 5px" alt="public"><span class="highlight">getIterator</span><span class="nb-faded-text">(
)
</span>
:
<a href="http://php.net/manual/en/class.arrayiterator.php">\ArrayIterator</a></code><div class="description"><p class="short_description">Returns an iterator for the link set</p></div>
<div class="code-tabs">
<div class="long-description">
</div>
<strong>Returns</strong><table class="argument-info">
<thead><tr>
<th>Type</th>
<th>Description</th>
</tr></thead>
<tr>
<td><a href="http://php.net/manual/en/class.arrayiterator.php">\ArrayIterator</a></td>
<td></td>
</tr>
</table>
</div>
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<a id="\Zend_Service_Simpy_LinkSet::getLength()"></a><div class="method">
<a href="#" class="gripper"><img src="images/icons/arrow_right.png"><img src="images/icons/arrow_down.png" style="display: none;"></a><code><img src="images/icons/method.png" alt="method"><img src="images/icons/visibility_public.png" style="margin-right: 5px" alt="public"><span class="highlight">getLength</span><span class="nb-faded-text">(
)
</span>
:
int</code><div class="description"><p class="short_description">Returns the number of links in the set</p></div>
<div class="code-tabs">
<div class="long-description">
</div>
<strong>Returns</strong><table class="argument-info">
<thead><tr>
<th>Type</th>
<th>Description</th>
</tr></thead>
<tr>
<td>int</td>
<td></td>
</tr>
</table>
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<h2>Como calibrar seu joystick</h2>
<p>Apenas a versão de 32 bits do Toon Talk pode usar joysticks e controladores de jogo.
<p>O Windows 95 proporciona um modo de adicionar joysticks e ajustar os que parecem não estar funcionando direito. Aqui está o que você deve fazer:
<ul>
<li>Dê um duplo clique no ícone "Meu Computador".
<li>Dê um duplo clique no ícone "Painel de Controle".
<li>Dê um duplo clique no ícone "Controladores de Jogos".
<li>Se na lista de controladores não houver o joystick ou o controlador de jogo que está conectado ao seu computador, então clique em "Adicionar..." e selecione o tipo de controlador de jogo que você tem.
<li>Se o controlador está corretamente conectado, clique então em "Propriedades".
<li>Selecione a página de "Teste" e siga as instruções para testar seu controlador.
<li>Se parece que você tem de calibrar o controlador, clique então em "Calibrar..." na página de "Ajuste" e siga as instruções dadas.
<li>Reinicie o Toon Talk e seu controlador de jogo deve estar funcionando corretamente.
</ul>
<p>Uma vez que você tenha um <a href="joystick.html" OnMouseOver="window.status=' Joystick'; return true">joystick</a> funcionando corretamente, você deverá rodar a versão de 32 bits do Toon Talk (clique em "Set Options" depois de iniciar o Toon Talk).
<p>
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samples/XX-360-panorama.html | paezagon/webvr-samples | <!doctype html>
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if (WGLUUrl.getBool('polyfill', false)) {
var polyfill = new WebVRPolyfill({
// Ensures the polyfill is always active on mobile, due to providing
// a polyfilled CardboardVRDisplay when no native API is available,
// and also polyfilling even when the native API is available, due to
// providing a CardboardVRDisplay when no native VRDisplays exist.
PROVIDE_MOBILE_VRDISPLAY: true,
// Polyfill optimizations
DIRTY_SUBMIT_FRAME_BINDINGS: true,
BUFFER_SCALE: 0.75,
});
}
</script>
<!-- End sample polyfill enabling logic -->
<script src="js/third-party/gl-matrix-min.js"></script>
<script src="js/third-party/wglu/wglu-program.js"></script>
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<script>
/* global mat4, vec3, VRPanorama, WGLUStats, VRSamplesUtil */
(function () {
"use strict";
var vrDisplay = null;
var frameData = null;
var projectionMat = mat4.create();
var poseMat = mat4.create();
var viewMat = mat4.create();
var vrPresentButton = null;
// ================================================================
// WebGL and WebAudio scene setup. This code is not WebVR specific.
// ================================================================
// WebGL setup.
var gl = null;
var panorama = null;
var stats = null;
function onContextLost( event ) {
event.preventDefault();
console.log( 'WebGL Context Lost.' );
gl = null;
panorama = null;
stats = null;
}
function onContextRestored( event ) {
console.log( 'WebGL Context Restored.' );
init(vrDisplay ? vrDisplay.capabilities.hasExternalDisplay : false);
}
var webglCanvas = document.getElementById("webgl-canvas");
webglCanvas.addEventListener( 'webglcontextlost', onContextLost, false );
webglCanvas.addEventListener( 'webglcontextrestored', onContextRestored, false );
function init (preserveDrawingBuffer) {
var glAttribs = {
alpha: false,
antialias: false,
preserveDrawingBuffer: preserveDrawingBuffer
};
gl = webglCanvas.getContext("webgl", glAttribs);
if (!gl) {
gl = webglCanvas.getContext("experimental-webgl", glAttribs);
if (!gl) {
VRSamplesUtil.addError("Your browser does not support WebGL.");
return;
}
}
gl.enable(gl.DEPTH_TEST);
gl.enable(gl.CULL_FACE);
panorama = new VRPanorama(gl);
panorama.setImage("media/textures/pano_4k.jpg");
var enablePerformanceMonitoring = WGLUUrl.getBool(
'enablePerformanceMonitoring', false);
stats = new WGLUStats(gl, enablePerformanceMonitoring);
// Wait until we have a WebGL context to resize and start rendering.
window.addEventListener("resize", onResize, false);
onResize();
window.requestAnimationFrame(onAnimationFrame);
}
// ================================
// WebVR-specific code begins here.
// ================================
function onVRRequestPresent () {
vrDisplay.requestPresent([{ source: webglCanvas }]).then(function () {
}, function (err) {
var errMsg = "requestPresent failed.";
if (err && err.message) {
errMsg += "<br/>" + err.message
}
VRSamplesUtil.addError(errMsg, 2000);
});
}
function onVRExitPresent () {
if (!vrDisplay.isPresenting)
return;
vrDisplay.exitPresent().then(function () {
}, function () {
VRSamplesUtil.addError("exitPresent failed.", 2000);
});
}
function onVRPresentChange () {
onResize();
if (vrDisplay.isPresenting) {
if (vrDisplay.capabilities.hasExternalDisplay) {
VRSamplesUtil.removeButton(vrPresentButton);
vrPresentButton = VRSamplesUtil.addButton("Exit VR", "E", "media/icons/cardboard64.png", onVRExitPresent);
}
} else {
if (vrDisplay.capabilities.hasExternalDisplay) {
VRSamplesUtil.removeButton(vrPresentButton);
vrPresentButton = VRSamplesUtil.addButton("Enter VR", "E", "media/icons/cardboard64.png", onVRRequestPresent);
}
}
}
if (navigator.getVRDisplays) {
frameData = new VRFrameData();
navigator.getVRDisplays().then(function (displays) {
if (displays.length > 0) {
vrDisplay = displays[displays.length - 1];
vrDisplay.depthNear = 0.1;
vrDisplay.depthFar = 1024.0;
init(true);
if (vrDisplay.capabilities.canPresent)
vrPresentButton = VRSamplesUtil.addButton("Enter VR", "E", "media/icons/cardboard64.png", onVRRequestPresent);
// For the benefit of automated testing. Safe to ignore.
if (vrDisplay.capabilities.canPresent && WGLUUrl.getBool('canvasClickPresents', false))
webglCanvas.addEventListener("click", onVRRequestPresent, false);
window.addEventListener('vrdisplaypresentchange', onVRPresentChange, false);
window.addEventListener('vrdisplayactivate', onVRRequestPresent, false);
window.addEventListener('vrdisplaydeactivate', onVRExitPresent, false);
} else {
init(false);
VRSamplesUtil.addInfo("WebVR supported, but no VRDisplays found.", 3000);
}
}, function () {
VRSamplesUtil.addError("Your browser does not support WebVR. See <a href='http://webvr.info'>webvr.info</a> for assistance.");
});
} else if (navigator.getVRDevices) {
init(false);
VRSamplesUtil.addError("Your browser supports WebVR but not the latest version. See <a href='http://webvr.info'>webvr.info</a> for more info.");
} else {
init(false);
VRSamplesUtil.addError("Your browser does not support WebVR. See <a href='http://webvr.info'>webvr.info</a> for assistance.");
}
function onResize () {
if (vrDisplay && vrDisplay.isPresenting) {
var leftEye = vrDisplay.getEyeParameters("left");
var rightEye = vrDisplay.getEyeParameters("right");
webglCanvas.width = Math.max(leftEye.renderWidth, rightEye.renderWidth) * 2;
webglCanvas.height = Math.max(leftEye.renderHeight, rightEye.renderHeight);
} else {
webglCanvas.width = webglCanvas.offsetWidth * window.devicePixelRatio;
webglCanvas.height = webglCanvas.offsetHeight * window.devicePixelRatio;
}
}
function getPoseMatrix (out, pose) {
// When rendering a panorama ignore the pose position. You want the
// users head to stay centered at all times. This would be terrible
// advice for any other type of VR scene, by the way!
var orientation = pose.orientation;
if (!orientation) { orientation = [0, 0, 0, 1]; }
mat4.fromQuat(out, orientation);
mat4.invert(out, out);
}
function onAnimationFrame (t) {
// do not attempt to render if there is no available WebGL context
if (!gl || !stats || !panorama) {
return;
}
stats.begin();
gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);
if (vrDisplay) {
vrDisplay.requestAnimationFrame(onAnimationFrame);
vrDisplay.getFrameData(frameData);
// FYI: When rendering a panorama do NOT use view matricies directly!
// That will make the viewer feel like their head is trapped in a tiny
// ball, which is usually not the desired effect. Instead, render both
// eyes from a single viewpoint.
getPoseMatrix(viewMat, frameData.pose);
if (vrDisplay.isPresenting) {
gl.viewport(0, 0, webglCanvas.width * 0.5, webglCanvas.height);
panorama.render(frameData.leftProjectionMatrix, viewMat);
gl.viewport(webglCanvas.width * 0.5, 0, webglCanvas.width * 0.5, webglCanvas.height);
panorama.render(frameData.rightProjectionMatrix, viewMat);
vrDisplay.submitFrame();
} else {
gl.viewport(0, 0, webglCanvas.width, webglCanvas.height);
mat4.perspective(projectionMat, Math.PI*0.4, webglCanvas.width / webglCanvas.height, 0.1, 1024.0);
panorama.render(projectionMat, viewMat);
stats.renderOrtho();
}
} else {
window.requestAnimationFrame(onAnimationFrame);
// No VRDisplay found.
gl.viewport(0, 0, webglCanvas.width, webglCanvas.height);
mat4.perspective(projectionMat, Math.PI*0.4, webglCanvas.width / webglCanvas.height, 0.1, 1024.0);
mat4.identity(viewMat);
panorama.render(projectionMat, viewMat);
stats.renderOrtho();
}
stats.end();
}
})();
</script>
</body>
</html>
|
doc/api/polymer_app_layout/WindowBase/WindowBase.html | lejard-h/polymer_app_layout_templates | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title></title>
<!-- required because all the links are pseudo-absolute -->
<base href="../..">
<link href='https://fonts.googleapis.com/css?family=Source+Code+Pro|Roboto:500,400italic,300,400' rel='stylesheet' type='text/css'>
<link rel="stylesheet" href="static-assets/prettify.css">
<link rel="stylesheet" href="static-assets/css/bootstrap.min.css">
<link rel="stylesheet" href="static-assets/styles.css">
<meta name="description" content="">
<link rel="icon" href="static-assets/favicon.png">
<!-- Do not remove placeholder -->
<!-- Header Placeholder -->
</head>
<body>
<div id="overlay-under-drawer"></div>
<header class="container-fluid" id="title">
<nav class="navbar navbar-fixed-top">
<div class="container">
<button id="sidenav-left-toggle" type="button"> </button>
<ol class="breadcrumbs gt-separated hidden-xs">
<li><a href="index.html">polymer_app_layout_template</a></li>
<li><a href="polymer_app_layout/polymer_app_layout-library.html">polymer_app_layout</a></li>
<li><a href="polymer_app_layout/WindowBase-class.html">WindowBase</a></li>
<li class="self-crumb">WindowBase</li>
</ol>
<div class="self-name">WindowBase</div>
</div>
</nav>
<div class="container masthead">
<ol class="breadcrumbs gt-separated visible-xs">
<li><a href="index.html">polymer_app_layout_template</a></li>
<li><a href="polymer_app_layout/polymer_app_layout-library.html">polymer_app_layout</a></li>
<li><a href="polymer_app_layout/WindowBase-class.html">WindowBase</a></li>
<li class="self-crumb">WindowBase</li>
</ol>
<div class="title-description">
<h1 class="title">
<div class="kind">constructor</div> WindowBase
</h1>
<!-- p class="subtitle">
</p -->
</div>
<ul class="subnav">
</ul>
</div>
</header>
<div class="container body">
<div class="col-xs-6 col-sm-3 sidebar sidebar-offcanvas-left">
<h5><a href="index.html">polymer_app_layout_template</a></h5>
<h5><a href="polymer_app_layout/polymer_app_layout-library.html">polymer_app_layout</a></h5>
<h5><a href="polymer_app_layout/WindowBase-class.html">WindowBase</a></h5>
<ol>
<li class="section-title"><a href="polymer_app_layout/WindowBase-class.html#instance-properties">Properties</a></li>
<li><a href="polymer_app_layout/WindowBase/closed.html">closed</a>
</li>
<li><a href="polymer_app_layout/WindowBase/history.html">history</a>
</li>
<li><a href="polymer_app_layout/WindowBase/location.html">location</a>
</li>
<li>on
</li>
<li><a href="polymer_app_layout/WindowBase/opener.html">opener</a>
</li>
<li><a href="polymer_app_layout/WindowBase/parent.html">parent</a>
</li>
<li><a href="polymer_app_layout/WindowBase/top.html">top</a>
</li>
<li class="section-title"><a href="polymer_app_layout/WindowBase-class.html#constructors">Constructors</a></li>
<li><a href="polymer_app_layout/WindowBase/WindowBase.html">WindowBase</a></li>
<li class="section-title"><a href="polymer_app_layout/WindowBase-class.html#methods">Methods</a></li>
<li>addEventListener
</li>
<li><a href="polymer_app_layout/WindowBase/close.html">close</a>
</li>
<li>dispatchEvent
</li>
<li><a href="polymer_app_layout/WindowBase/postMessage.html">postMessage</a>
</li>
<li>removeEventListener
</li>
</ol>
</div><!--/.sidebar-offcanvas-left-->
<div class="col-xs-12 col-sm-9 col-md-6 main-content">
<section class="multi-line-signature">
<span class="name ">WindowBase</span>()
</section>
<section class="desc markdown">
<p class="no-docs">Not documented.</p>
</section>
</div> <!-- /.main-content -->
</div> <!-- container -->
<footer>
<div class="container-fluid">
<div class="container">
<p class="text-center">
<span class="no-break">
polymer_app_layout_template 0.1.0 api docs
</span>
•
<span class="copyright no-break">
<a href="https://www.dartlang.org">
<img src="static-assets/favicon.png" alt="Dart" title="Dart"width="16" height="16">
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•
<span class="copyright no-break">
<a href="http://creativecommons.org/licenses/by-sa/4.0/">cc license</a>
</span>
</p>
</div>
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</footer>
<script src="static-assets/prettify.js"></script>
<script src="static-assets/script.js"></script>
<!-- Do not remove placeholder -->
<!-- Footer Placeholder -->
</body>
</html>
|
dhis-2/dhis-web/dhis-web-apps/src/main/webapp/dhis-web-event-reports/styles/style.css | uonafya/jphes-core | /*
* General
* Pivot
*
* Panel
* PT Panel
*
* Combobox
* PT Combobox
*
* Multiselect
* PT Multiselect
*
* Checkbox
* PT Checkbox
*
* Toolbar
* PT Toolbar
*
* Menu
* PT Menu
*
* Button
* Tooltip
* LoadMask
*
* PT Grid
* PT Window
* PT Label
* PT Textfield
* PT Treepanel
* PT Statusbar
* PT Accordion
* PT Textarea
*/
/*----------------------------------------------------------------------------
* General
*--------------------------------------------------------------------------*/
body {
-webkit-touch-callout: none;
-webkit-user-select: none;
-khtml-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
body,
.x-body,
.x-btn-default-small .x-btn-inner,
.x-btn-default-toolbar-small .x-btn-inner,
.x-form-item,
.x-panel-header-text-default,
.x-grid-cell-inner,
.x-form-item-label,
.x-window-header-text-default {
font-size: 11px;
font-family: arial,sans-serif,ubuntu,consolas;
}
#init {
display: table;
margin: 300px auto;
font-size: 13px;
color: #444;
}
#init .brand {
font-weight: 600;
padding-right: 5px;
}
/* Scrollbar Webkit */
::-webkit-scrollbar {
width: 8px;
height: 7px;
border: 0 none;
}
::-webkit-scrollbar-track:horizontal {
background-color: #ddd;
margin: 0 2px;
border-bottom: 1px solid white;
}
::-webkit-scrollbar-thumb:horizontal {
background-color: #bbb;
border-bottom: 1px solid white;
}
::-webkit-scrollbar-track:vertical {
background-color: #e1e1e1;
margin: 1px 0;
border-right: 1px solid white;
}
::-webkit-scrollbar-thumb:vertical {
background-color: #bbb;
border-right: 1px solid white;
}
/* User select */
.user-select {
-webkit-touch-callout: text;
-webkit-user-select: text;
-khtml-user-select: text;
-moz-user-select: text;
-ms-user-select: text;
user-select: text;
}
/* Scrollbar */
.x-scroller-vertical {
border: 0 none;
}
/* Disabled icons */
.disabled {
opacity: 0.4;
cursor: default !important;
}
.disabled-toolbar {
opacity: 1;
/*
cursor: default !important;
*/
}
/* Collapse splitter column */
.x-splitter {
display: none;
}
.fixed {
position: fixed;
}
.pointer {
cursor: pointer;
}
.cursor-default {
cursor: default;
}
.td-nobreak {
white-space: nowrap;
}
.td-hidden {
display: none;
}
.td-collapsed {
display: none;
}
.td-sortable {
background-image: url('../images/arrowupdown.png');
background-repeat: no-repeat;
background-position: right center;
padding-right: 15px !important;
}
.td-sortable-asc {
background-image: url('../images/arrowup.png');
}
.td-sortable-desc {
background-image: url('../images/arrowdown.png');
}
.text-weak {
color: #303038;
}
.align-left {
text-align: left !important;
}
.align-right {
text-align: right !important;
}
.font-size-0 {
font-size: 0 !important;
}
.ns-form-item-label-top {
padding-left: 2px;
float: none;
clear: none;
display: block;
margin-bottom: 2px !important;
color: #333;
}
.ns-form-item-label-top-padding {
padding-top: 3px;
}
.ns-container-default {
border: 0 none;
background: #fff;
}
.text-medium {
font-weight: 600;
}
/*----------------------------------------------------------------------------
* Spinner
*--------------------------------------------------------------------------*/
.spinner {
width: 20px;
height: 20px;
margin: 50px auto;
background-color: #aaa;
border-radius: 100%;
-webkit-animation: sk-scaleout 0.8s infinite ease-in-out;
animation: sk-scaleout 0.8s infinite ease-in-out;
}
@-webkit-keyframes sk-scaleout {
0% {
-webkit-transform: scale(0)
}
100% {
-webkit-transform: scale(1.0);
opacity: 0;
}
}
@keyframes sk-scaleout {
0% {
-webkit-transform: scale(0);
transform: scale(0);
}
100% {
-webkit-transform: scale(1.0);
transform: scale(1.0);
opacity: 0;
}
}
/*----------------------------------------------------------------------------
* Pivot
*--------------------------------------------------------------------------*/
table.pivot {
border-collapse: collapse;
border-spacing: 0px;
border: 0 none;
-webkit-touch-callout: text;
-webkit-user-select: text;
-khtml-user-select: text;
-moz-user-select: text;
-ms-user-select: text;
user-select: text;
}
table.pivot.displaydensity-COMFORTABLE td {
padding: 7px;
}
table.pivot.displaydensity-COMPACT td {
padding: 3px;
}
table.pivot.fontsize-LARGE td {
font-size: 13px;
}
table.pivot.fontsize-SMALL td {
font-size: 10px;
}
.pivot td {
padding: 5px;
border: 1px solid #b2b2b2;
}
.pivot-dim {
background-color: #dae6f8;
text-align: center;
}
.pivot-dim.highlighted {
background-color: #c5d8f6;
}
.pivot-dim-subtotal {
background-color: #cad6e8;
text-align: center;
}
.pivot-dim-total {
background-color: #bac6d8;
text-align: center;
}
.pivot-dim-total.highlighted {
background-color: #adb8c9;
}
.pivot-dim-label {
background-color: #cddaed;
white-space: nowrap;
text-align: center;
}
.pivot-empty {
background-color: #cddaed;
}
.pivot-transparent-column {
background-color: #fff;
border-top-color: #fff !important;
border-right-color: #fff !important;
}
.pivot-transparent-row {
background-color: #fff;
border-bottom-color: #fff !important;
border-left-color: #fff !important;
}
.pivot-value {
background-color: #fff;
text-align: right;
max-width: 700px;
}
.pivot-value.highlighted {
background-color: #f3f3f3;
}
.pivot-value-subtotal {
background-color: #f4f4f4;
white-space: nowrap;
text-align: right;
}
.pivot-value-subtotal-total {
background-color: #e7e7e7;
white-space: nowrap;
text-align: right;
}
.pivot-value-total {
background-color: #e4e4e4;
white-space: nowrap;
text-align: right;
}
.pivot-value-total-subgrandtotal {
background-color: #d8d8d8;
white-space: nowrap;
text-align: right;
}
.pivot-value-grandtotal {
background-color: #c8c8c8;
white-space: nowrap;
text-align: right;
}
/* Legend */
.pivot td.legend {
padding: 0;
}
.pivot div.legendCt {
display: table;
float: right;
width: 100%;
}
.pivot div.arrowCt {
display: table-cell;
vertical-align: top;
width: 8px;
}
.pivot div.arrow {
width: 0;
height: 0;
}
.pivot div.number {
display: table-cell;
}
.pivot div.legendColor {
display: table-cell;
width: 2px;
}
/*----------------------------------------------------------------------------
* NS viewport
*--------------------------------------------------------------------------*/
.ns-viewport-text * {
padding: 3px 10px;
font-size: 13px;
color: #777;
}
.ns-viewport-text h3 {
font-size: 13px;
font-weight: 500;
color: #333;
padding: 0 0 8px 0;
}
/*----------------------------------------------------------------------------
* Panel
*--------------------------------------------------------------------------*/
.x-panel-body {
font-size: 11px;
}
.x-panel .x-grid-body {
border-style: none;
}
/*----------------------------------------------------------------------------
* PT Panel
*--------------------------------------------------------------------------*/
.ns-panel-title-data,
.ns-panel-title-period,
.ns-panel-title-organisationunit,
.ns-panel-title-dimension {
height: 17px;
background-repeat: no-repeat;
padding-left: 20px
}
.ns-panel-title-data {
background-image: url(../images/data.png);
}
.ns-panel-title-period {
background-image: url(../images/period.png);
}
.ns-panel-title-organisationunit {
background-image: url(../images/organisationunit.png);
}
.ns-panel-title-dimension {
background-image: url(../images/dataelementgroupset.png);
}
/*----------------------------------------------------------------------------
* PT Data Selector
*--------------------------------------------------------------------------*/
.ns-dxselector .x-mask {
background: transparent;
}
.ns-dxselector.x-item-disabled {
opacity: 0.6;
}
/*----------------------------------------------------------------------------
* NS form
*--------------------------------------------------------------------------*/
.ns-form-widget .x-form-item-label-left { /* (Combo) label */
padding-left: 4px;
color: #444;
}
.ns-form-widget .x-form-text { /* Combo text */
font-size: 10px !important;
padding: 3px 1px 1px 4px;
border-top-left-radius: 1px;
border-bottom-left-radius: 1px;
}
.ns-form-widget .x-form-item { /* (Combo) spacing */
margin-bottom: 3px;
}
.ns-form-widget .x-btn-default-small { /* Button */
border-radius: 1px;
}
/*----------------------------------------------------------------------------
* Combobox
*--------------------------------------------------------------------------*/
/* Combobox text position*/
.x-webkit .x-form-empty-field {
line-height: 14px;
}
/* Combobox font size */
.x-form-text, textarea.x-form-field {
font-size: 10px;
}
/* Combobox field label font */
.x-form-item-label {
font-size: 11px;
color: #111;
}
/*----------------------------------------------------------------------------
* PT Combobox
*--------------------------------------------------------------------------*/
/* Combobox text position*/
.ns-combo .x-form-text {
padding-left: 5px;
}
.ns-combo .small .x-form-field {
padding-top: 2px;
}
/* Combobox border-radius */
.ns-combo input {
border-radius: 1px 0px 0px 0px;
}
/* Custom */
.ns-combo.h21 .x-form-trigger {
height: 21px !important;
}
.ns-combo.h22 .x-form-trigger {
height: 22px !important;
}
.ns-combo.h24 .x-form-trigger {
height: 24px !important;
}
/* Option selector */
.ns-optionselector .x-boundlist-selected {
background-color: #fff;
border-color: #fff
}
.ns-optionselector .x-boundlist-selected.x-boundlist-item-over {
background-color: #ddd;
border-color: #ddd
}
/*----------------------------------------------------------------------------
* PT Trigger
*--------------------------------------------------------------------------*/
/* field default > trigger */
.ns-trigger-filter .x-form-trigger {
height: 22px !important;
background: url(../images/clear_20.png) 0 0 no-repeat;
border-top: 1px solid #b5b8c8;
border-right: 1px solid #b5b8c8;
}
/* field focused > trigger */
.ns-trigger-filter-focused .x-form-trigger {
border: 1px solid #a1a1a1;
border-left: 0 none;
}
/* field over > trigger */
.ns-trigger-filter .x-form-trigger-over {
background: url(../images/clear-over_20.png) 0 0 no-repeat;
}
/*----------------------------------------------------------------------------
* Multiselect
*--------------------------------------------------------------------------*/
/* Inner border */
.x-fit-item {
border-style: none;
}
/* Boundlist (multiselect, comboboxlist etc) */
.x-boundlist-item {
color: #333;
padding: 3px 2px 3px 4px;
font-size: 10px;
border: 1px solid transparent;
}
.x-boundlist-item-over {
background-color: #e1e1e1;
border-color: #e1e1e1;
}
.x-boundlist-selected {
background-color: #d3d3d3;
border-color: #d3d3d3;
}
/*----------------------------------------------------------------------------
* PT Multiselect
*--------------------------------------------------------------------------*/
.ns-multiselect {
color: #111;
}
.ns-toolbar-multiselect-left .x-docked-top {
border-top-left-radius: 1px;
border-right: 0 none;
}
.ns-toolbar-multiselect-right .x-docked-top {
border-top-right-radius: 1px;
}
.ns-toolbar-multiselect-leftright .x-docked-top {
border-top-left-radius: 1px;
border-top-right-radius: 1px;
}
/* Multiselect docked bar font size */
.ns-toolbar-multiselect-left .ns-toolbar-multiselect-left-label,
.ns-toolbar-multiselect-right .ns-toolbar-multiselect-right-label,
.ns-toolbar-multiselect-leftright .ns-toolbar-multiselect-leftright-label {
font-size: 11px;
color: #222;
}
.ns-toolbar-multiselect-left .ns-toolbar-multiselect-left-label {
padding-left: 6px;
}
.ns-toolbar-multiselect-right .ns-toolbar-multiselect-right-label {
padding-right: 7px;
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.ns-toolbar-multiselect-leftright .ns-toolbar-multiselect-leftright-label {
padding-left: 4px;
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background-color: transparent;
border-color: transparent;
}
.ns-toolbar-multiselect-left .x-boundlist-selected,
.ns-toolbar-multiselect-right .x-boundlist-selected {
background-color: #e5e5e5;
border-color: #e5e5e5;
}
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border-right: 0 none;
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/* Multiselect dynamic/fixed */
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border-bottom: 0 none;
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color: #777;
cursor: auto;
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background-color: transparent;
border-color: transparent;
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.ns-multiselect-dynamic .x-panel-body {
border-top: 0 none;
}
/*----------------------------------------------------------------------------
* Checkbox
*--------------------------------------------------------------------------*/
/* Box label */
.x-form-cb-label-after {
padding-left: 1px;
font-size: 11px;
color: #333;
position: relative;
top: -1px;
}
/* Icons */
.x-form-checkbox {
background-image: url('../images/checkbox.gif');
}
.x-form-cb-wrap {
padding-top: 2px;
line-height: 12px;
}
/*----------------------------------------------------------------------------
* PT Checkbox
*--------------------------------------------------------------------------*/
.ns-checkbox .x-form-item-label {
padding-left: 5px;
}
.ns-checkbox .x-form-cb-label-after {
margin-left: 3px;
font-size: 11px;
}
/*----------------------------------------------------------------------------
* Toolbar
*--------------------------------------------------------------------------*/
/* Separator */
.x-toolbar .x-toolbar-separator-horizontal {
height: 15px;
border-right: 1px solid #f2f2f2;
}
/* Disabled */
.x-toolbar.x-item-disabled {
opacity: 1;
}
/* Background */
.x-toolbar-default {
border-color: #D0D0D0;
background-image: none;
background-color: #f3f3f3;
background-image: -webkit-gradient(linear, 50% 0%, 50% 100%, color-stop(0%, #f1f1f1), color-stop(100%, #f5f5f5));
background-image: -webkit-linear-gradient(top, #f1f1f1,#f5f5f5);
background-image: -moz-linear-gradient(top, #f1f1f1,#f5f5f5);
background-image: -o-linear-gradient(top, #f1f1f1,#f5f5f5);
background-image: -ms-linear-gradient(top, #f1f1f1,#f5f5f5);
background-image: linear-gradient(top, #f1f1f1,#f5f5f5);
}
.ns-toolbar-main {
border-color: #D0D0D0;
background-image: none;
background-color: #f1f1f1;
background-image: -webkit-gradient(linear, 50% 0%, 50% 100%, color-stop(0%, #e3e3e3), color-stop(100%, #eaeaea));
background-image: -webkit-linear-gradient(top, #e3e3e3,#eaeaea);
background-image: -moz-linear-gradient(top, #e3e3e3,#eaeaea);
background-image: -o-linear-gradient(top, #e3e3e3,#eaeaea);
background-image: -ms-linear-gradient(top, #e3e3e3,#eaeaea);
background-image: linear-gradient(top, #e3e3e3,#eaeaea);
}
/*----------------------------------------------------------------------------
* PT Toolbar
*--------------------------------------------------------------------------*/
/* Align menu */
.ns-toolbar-btn-menu {
margin-top: 4px;
}
/*----------------------------------------------------------------------------
* Menu
*--------------------------------------------------------------------------*/
.x-menu-body {
border-color: #bbb;
border-radius: 2px;
}
.x-menu-item-active .x-menu-item-link {
border-radius: 0;
border-color: #e1e1e1;
background-color: #e1e1e1;
background-image: none;
}
.x-menu-body {
padding: 0;
}
.x-menu-body .x-box-inner {
background-color: #fafafa;
}
/* Menu item */
.x-menu-item {
background-color: #fafafa;
}
.x-menu-item-link {
padding: 4px 5px 4px 26px;
}
/* Menu item color */
.x-menu-item-text {
color: #111;
}
/*----------------------------------------------------------------------------
* PT Menu
*--------------------------------------------------------------------------*/
/* Menu item icon */
.ns-menu-item-noicon .x-menu-item-link {
padding-left: 10px;
}
.ns-menu-item-image {
background-image:url('../images/dl_image.png');
padding-left: 18px;
}
.ns-menu-item-tablelayout {
background-image:url('../images/dl_tablelayout.png');
padding-left: 18px;
}
.ns-menu-item-datasource {
background-image:url('../images/dl_datasource.png');
padding-left: 18px;
}
.ns-menu-item-selected {
background-image:url('../images/check.png');
padding-left: 18px;
}
.ns-menu-item-unselected {
background-image:url('../images/check-un.png');
padding-left: 18px;
}
/* Menu align */
.ns-btn-menu {
margin-top: 2px;
}
/*----------------------------------------------------------------------------
* Button
*--------------------------------------------------------------------------*/
.x-btn-arrow {
background-image: url('../images/arrow.png') !important;
}
.x-btn-default-toolbar-small,
.x-btn-default-toolbar-small-over,
.x-btn-default-toolbar-small-pressed {
border-radius: 1px;
}
.x-btn-default-toolbar-small-over,
.x-btn-default-toolbar-small-pressed {
border-color: #bbb;
}
.x-btn-default-toolbar-small-over {
background-image: none;
background-color: #f3f3f3;
background-image: -webkit-gradient(linear, 50% 0%, 50% 100%, color-stop(0%, #f2f2f2), color-stop(100%, #f7f7f7));
background-image: -webkit-linear-gradient(top, #f2f2f2,#f7f7f7);
background-image: -moz-linear-gradient(top, #f2f2f2,#f7f7f7);
background-image: -o-linear-gradient(top, #f2f2f2,#f7f7f7);
background-image: -ms-linear-gradient(top, #f2f2f2,#f7f7f7);
background-image: linear-gradient(top, #f2f2f2,#f7f7f7);
}
/* Chart image */
.x-btn-default-toolbar-small-icon button {
width: 32px !important;
}
.x-btn-default-toolbar-small-icon .x-btn-icon {
width: 32px;
height: 32px;
}
.x-btn-default-small {
border-radius: 1px;
}
.x-btn-default-toolbar-small-pressed {
border-color: #aaa;
background-image: none;
background-color: #d6d6d6;
background-image: -webkit-gradient(linear, 50% 0%, 50% 100%, color-stop(0%, #d1d1d1), color-stop(100%, #e5e5e5));
background-image: -webkit-linear-gradient(top, #d1d1d1,#e5e5e5);
background-image: -moz-linear-gradient(top, #d1d1d1,#e5e5e5);
background-image: -o-linear-gradient(top, #d1d1d1,#e5e5e5);
background-image: -ms-linear-gradient(top, #d1d1d1,#e5e5e5);
background-image: linear-gradient(top, #d1d1d1,#e5e5e5);
}
/*----------------------------------------------------------------------------
* PT Button
*--------------------------------------------------------------------------*/
.ns-button-icon-gear {
width: 22px !important;
height: 22px !important;
background: url('../images/gear_18.png') no-repeat;
}
.ns-button-icon-table {
background: url('../images/table_14.png') no-repeat;
}
.ns-button-icon-chart {
background: url('../images/chart_14.png') no-repeat;
}
.ns-button-icon-map {
background: url('../images/map_14.png') no-repeat;
}
.ns-button-organisationunitselection .x-btn-center {
width: 18px !important;
}
.ns-button-icon.x-btn-default-toolbar-small-disabled {
-ms-filter: "progid:DXImageTransform.Microsoft.Alpha(Opacity=25)";
opacity: 0.25;
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.ns-button-combotrigger {
background-image: url('../images/trigger.gif');
background-position: 0 0;
width: 17px;
border-top-right-radius: 2px;
}
.ns-button-combotrigger-disabled,
.ns-button-combotrigger-disabled * {
opacity: 0.8;
cursor: default !important;
}
/* Link button */
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border: 1px solid transparent;
background: transparent;
}
.ns-linkbutton .x-btn-inner {
color: #3162c5;
padding: 0;
}
.ns-linkbutton.x-btn-over .x-btn-inner {
text-decoration: underline;
}
/*----------------------------------------------------------------------------
* Tooltip
*--------------------------------------------------------------------------*/
.x-tip {
border-radius: 2px;
padding: 1px 4px;
border: 1px solid #111;
background-color: #111;
}
.x-tip .x-tip-body {
font-size: 10px;
color: #fff;
-webkit-text-stroke: 0.2px #fff;
}
.x-tip-anchor {
border-top-color: #111;
}
/*----------------------------------------------------------------------------
* LoadMask
*--------------------------------------------------------------------------*/
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padding: 0;
border: 0 none;
background-image: none;
background-color: transparent;
}
.x-mask-msg div {
background-position: 11px center;
}
.x-mask-msg .x-mask-loading {
border: 0 none;
background-color: #000;
color: #fff;
border-radius: 2px;
padding: 12px 14px 12px 31px;
opacity: 0.65;
}
/*----------------------------------------------------------------------------
* PT Grid
*--------------------------------------------------------------------------*/
.ns-grid-row-icon-edit,
.ns-grid-row-icon-overwrite,
.ns-grid-row-icon-sharing,
.ns-grid-row-icon-dashboard,
.ns-grid-row-icon-delete {
width: 16px;
height: 16px;
cursor: pointer;
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background: url('../images/grid-edit_16.png') no-repeat;
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.ns-grid-row-icon-overwrite {
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margin-left: 4px;
}
.ns-grid-row-icon-sharing {
background: url('../images/grid-sharing_16.png') no-repeat;
margin-left: 4px;
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background: url('../images/grid-dashboard_16.png') no-repeat;
margin-left: 4px;
}
.ns-grid-row-icon-delete {
background: url('../images/grid-delete_16.png') no-repeat;
margin-left: 4px;
}
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.ns-grid-row-icon-disabled img.ns-grid-row-icon-dashboard {
cursor: pointer !important;
}
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.ns-grid .x-grid-cell-inner * {
font-size: 10px !important;
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padding-top: 3px;
padding-bottom: 3px;
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color: #333;
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border-bottom-width: 1px !important;
border-bottom-color: #d0d0d0;
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border: 1px solid #d0d0d0;
border-top: 0 none !important;
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.ns-grid .x-grid-dirty-cell { /* hide red "dirty" icon */
background-image: none;
}
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vertical-align: middle;
}
.ns-grid .x-grid-row .x-grid-cell { /* remove blurry borders */
border-top: 0 none;
}
.ns-grid .link,
.ns-grid .link * {
cursor: pointer;
cursor: hand;
color: blue;
text-decoration: underline;
}
/*----------------------------------------------------------------------------
* PT Window
*--------------------------------------------------------------------------*/
.ns-window-title-favorite {
padding-left: 19px;
background-image: url('../images/favorite.png');
}
.ns-window-title-interpretation {
padding-left: 19px;
background-image: url('../images/interpretation.png');
}
.ns-window-title-datatable {
padding-left: 19px;
background-image: url('../images/datatable.png');
}
.ns-window-title-messagebox {
padding-left: 16px;
background-position-y: 1px;
}
.ns-window-title-messagebox.error {
background-image: url('../images/error_m.png');
}
.ns-window-title-messagebox.warning {
background-image: url('../images/warning.png');
}
/* Confirm list */
.ns-window-confirm-list .x-panel-body {
color: #444;
font-size: 10px;
border-style: none;
}
/*----------------------------------------------------------------------------
* PT Label
*--------------------------------------------------------------------------*/
/* Label heading periods */
.ns-label-period-heading,
.ns-label-period-heading-options {
font-size: 11px;
font-weight: bold;
color: #333;
line-height: 18px;
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.ns-label-period-heading-options {
background-color: #e1e1e1;
padding: 1px 5px;
border-radius: 2px
}
/* Window bbar info */
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font-size: 10px !important;
color: #666;
padding-left: 4px;
height: 22px;
line-height: 21px;
}
/* Date links */
.ns-label-date {
display: block;
font-size: 10px;
color: #333;
text-decoration: underline;
cursor: pointer;
}
.ns-label-date:hover {
color: #666;
}
/*----------------------------------------------------------------------------
* PT Textfield
*--------------------------------------------------------------------------*/
.ns-textfield .x-form-field, .ns-textfield-alt1 .x-form-field {
height: 26px;
padding-left: 4px;
border-radius: 1px;
font-size: 11px;
color: #333;
}
.ns-textfield .x-form-item-label {
padding-left: 5px;
line-height: 20px;
}
.ns-textfield-alt1 .x-form-item-label {
padding-left: 5px;
line-height: 8px;
}
/*----------------------------------------------------------------------------
* Treepanel
*--------------------------------------------------------------------------*/
.x-tree-icon-leaf {
background-image: url('../images/leaf.gif');
}
/*----------------------------------------------------------------------------
* PT Treepanel
*--------------------------------------------------------------------------*/
/* Node height */
.ns-tree.x-tree-panel .x-grid-row .x-grid-cell-inner {
height: 17px;
font-size: 10px;
}
.ns-tree .x-grid-table {
width: 100%!important;
}
/* Selected row background */
.ns-tree .x-grid-row-selected .x-grid-cell,
.ns-tree .x-grid-row-selected .x-grid-rowwrap-div {
background-color: #e0e0e0;
border-radius: 2px 2px 2px 2px;
}
/* Hover row background */
.ns-tree .x-grid-cell {
border-radius: 2px 2px 2px 2px;
}
/* Treepanel contextmenu */
#treepanel-contextmenu {
border-radius: 3px;
border-width: 1px;
border-style: solid;
border-color: #ddd;
}
/*----------------------------------------------------------------------------
* PT Statusbar
*--------------------------------------------------------------------------*/
.ns-statusbar .x-panel-body-default {
padding: 5px 0 0 6px;
border: 0 none;
background-color: transparent;
color: #111;
vertical-align: top;
font-size: 10px;
line-height: 14px;
}
/*----------------------------------------------------------------------------
* PT Accordion
*--------------------------------------------------------------------------*/
/* accordion title bar, shared */
.ns-accordion .x-accordion-item .x-accordion-hd {
padding: 6px 5px 4px 8px;
border: 0 none;
cursor: pointer;
border-radius: 0;
background-image: none;
background-color: #e0e0e0;
background-image: -webkit-gradient(linear, 50% 0%, 50% 100%, color-stop(0%, #dedede), color-stop(100%, #e6e6e6)) !important;
background-image: -webkit-linear-gradient(top, #dddddd, #e6e6e6) !important;
background-image: -moz-linear-gradient(top, #dddddd, #e6e6e6) !important;
background-image: -o-linear-gradient(top, #dddddd, #e6e6e6) !important;
background-image: -ms-linear-gradient(top, #dddddd, #e6e6e6) !important;
background-image: linear-gradient(top, #dddddd, #e6e6e6) !important;
}
/* accordion title dock, default, collapsed */
.ns-accordion .collapsed .x-accordion-hd {
padding-bottom: 5px !important;
}
/* accordion title dock outer, shared */
.ns-accordion .x-accordion-item {
border-radius: 1px;
}
/* accordion title dock outer, default */
.ns-accordion .x-accordion-item {
border: 1px solid #c5c5c5;
border-top: 0 none;
}
/* accordion title dock outer, last */
.ns-accordion .ns-accordion-first {
border-top: 1px solid #c5c5c5;
}
/* accordion title dock text, shared */
.ns-accordion .x-accordion-hd .x-panel-header-text {
font-weight: bold;
cursor: pointer;
}
/* accordion item body */
.ns-accordion .x-accordion-body {
padding: 1px;
border-top: 1px solid #c5c5c5 !important;
}
.ns-accordion .x-accordion-hd-sibling-expanded {
-moz-box-shadow: none;
-webkit-box-shadow: none;
-o-box-shadow: none;
box-shadow: none;
}
.ns-accordion .ns-toolbar-multiselect-left, .ns-accordion .ns-toolbar-multiselect-right {
margin-bottom: 0;
}
/* accordion combo box */
.ns-accordion .ns-combo .x-form-text, .ns-accordion .ns-combo .x-form-trigger {
height: 24px;
padding-top: 1px;
}
/* accordion combo box label */
.ns-accordion .ns-combo .x-form-item-label {
padding: 4px 0 0;
}
/*----------------------------------------------------------------------------
* PT Textarea
*--------------------------------------------------------------------------*/
.ns-textarea .x-form-field {
font-size: 11px;
}
.ns-textarea.monospaced textarea {
font-family: monospace, consolas, courier new;
padding: 4px;
border: 0 none;
}
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v0.11.1/generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_unscented.html | statsmodels/statsmodels.github.io |
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<h1 id="generated-statsmodels-tsa-statespace-simulation-smoother-simulationsmoother-filter-unscented--page-root">statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_unscented<a class="headerlink" href="#generated-statsmodels-tsa-statespace-simulation-smoother-simulationsmoother-filter-unscented--page-root" title="Permalink to this headline">¶</a></h1>
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<code class="sig-prename descclassname">SimulationSmoother.</code><code class="sig-name descname">filter_unscented</code><em class="property"> = False</em><a class="headerlink" href="#statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_unscented" title="Permalink to this definition">¶</a></dt>
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c/doc/html/octetramesh_8c.html | madratman/riss_bingham | <!-- This comment will put IE 6, 7 and 8 in quirks mode -->
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<h1>octetramesh.c File Reference</h1><code>#include <stdlib.h></code><br/>
<code>#include <stdio.h></code><br/>
<code>#include <string.h></code><br/>
<code>#include <float.h></code><br/>
<code>#include <math.h></code><br/>
<code>#include "<a class="el" href="util_8h.html">bingham/util.h</a>"</code><br/>
<code>#include "<a class="el" href="octetramesh_8h.html">bingham/octetramesh.h</a>"</code><br/>
<table border="0" cellpadding="0" cellspacing="0">
<tr><td colspan="2"><h2>Functions</h2></td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="structtetramesh__t.html">tetramesh_t</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a49f4655865a545d276dc766ff632f4d6">octetramesh_to_tetramesh</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *mesh)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="structgraph__t.html">graph_t</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#aab34099a6dcd28e9f9a54ffebfd04430">octetramesh_graph</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *mesh)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a8201877aad11fb60fa49faff497af2d3">octetramesh_subdivide_select</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src, int *tetmask, int *octmask)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#af428af2eb781dde55521f846a609fc92">octetramesh_subdivide</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a544846e7353c54d332b5b60f61df9046">octetramesh_subdivide_mres</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src, double(*f)(double *, void *), void *fdata, double resolution)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#acf62d2a0ef355547b09d20e06971e8ff">octetramesh_new</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *mesh, int nv, int nt, int no, int d)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a1004373095814861e9ee880c61ab232d">octetramesh_copy</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#ab34c73cd0463eb98042d5bf50d2b3928">octetramesh_copy_vertices</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a442ce2055f24105842a1268c6acda56c">octetramesh_copy_tetrahedra</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#ab07e9fc90fe11beb980b68b67044c67e">octetramesh_copy_octahedra</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *dst, <a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#ac3c0bc5eda91e64f3ac39676985003e3">octetramesh_clone</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *src)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#ae6a926d67b52828fe2929dfbebd82e13">octetramesh_free</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *mesh)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#a5110bb96032857c35274e35869b93635">octetramesh_save_PLY</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *mesh, char *filename)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top"><a class="el" href="structoctetramesh__stats__t.html">octetramesh_stats_t</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#ae7d078d2a90cc3c17e038934d210b715">octetramesh_stats</a> (<a class="el" href="structoctetramesh__t.html">octetramesh_t</a> *T)</td></tr>
<tr><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="octetramesh_8c.html#aac774e4222322ff43b136f5ddb2b6e01">octetramesh_print_stats</a> (<a class="el" href="structoctetramesh__stats__t.html">octetramesh_stats_t</a> stats)</td></tr>
</table>
<hr/><h2>Function Documentation</h2>
<a class="anchor" id="ac3c0bc5eda91e64f3ac39676985003e3"></a><!-- doxytag: member="octetramesh.c::octetramesh_clone" ref="ac3c0bc5eda91e64f3ac39676985003e3" args="(octetramesh_t *src)" -->
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<table class="memname">
<tr>
<td class="memname"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a>* octetramesh_clone </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="a1004373095814861e9ee880c61ab232d"></a><!-- doxytag: member="octetramesh.c::octetramesh_copy" ref="a1004373095814861e9ee880c61ab232d" args="(octetramesh_t *dst, octetramesh_t *src)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_copy </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="ab07e9fc90fe11beb980b68b67044c67e"></a><!-- doxytag: member="octetramesh.c::octetramesh_copy_octahedra" ref="ab07e9fc90fe11beb980b68b67044c67e" args="(octetramesh_t *dst, octetramesh_t *src)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_copy_octahedra </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="a442ce2055f24105842a1268c6acda56c"></a><!-- doxytag: member="octetramesh.c::octetramesh_copy_tetrahedra" ref="a442ce2055f24105842a1268c6acda56c" args="(octetramesh_t *dst, octetramesh_t *src)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_copy_tetrahedra </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="ab34c73cd0463eb98042d5bf50d2b3928"></a><!-- doxytag: member="octetramesh.c::octetramesh_copy_vertices" ref="ab34c73cd0463eb98042d5bf50d2b3928" args="(octetramesh_t *dst, octetramesh_t *src)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_copy_vertices </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="ae6a926d67b52828fe2929dfbebd82e13"></a><!-- doxytag: member="octetramesh.c::octetramesh_free" ref="ae6a926d67b52828fe2929dfbebd82e13" args="(octetramesh_t *mesh)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_free </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>mesh</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="aab34099a6dcd28e9f9a54ffebfd04430"></a><!-- doxytag: member="octetramesh.c::octetramesh_graph" ref="aab34099a6dcd28e9f9a54ffebfd04430" args="(octetramesh_t *mesh)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="structgraph__t.html">graph_t</a>* octetramesh_graph </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>mesh</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="acf62d2a0ef355547b09d20e06971e8ff"></a><!-- doxytag: member="octetramesh.c::octetramesh_new" ref="acf62d2a0ef355547b09d20e06971e8ff" args="(octetramesh_t *mesh, int nv, int nt, int no, int d)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_new </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>mesh</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>nv</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>nt</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>no</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>d</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="aac774e4222322ff43b136f5ddb2b6e01"></a><!-- doxytag: member="octetramesh.c::octetramesh_print_stats" ref="aac774e4222322ff43b136f5ddb2b6e01" args="(octetramesh_stats_t stats)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_print_stats </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__stats__t.html">octetramesh_stats_t</a> </td>
<td class="paramname"> <em>stats</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="a5110bb96032857c35274e35869b93635"></a><!-- doxytag: member="octetramesh.c::octetramesh_save_PLY" ref="a5110bb96032857c35274e35869b93635" args="(octetramesh_t *mesh, char *filename)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_save_PLY </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>mesh</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">char * </td>
<td class="paramname"> <em>filename</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="ae7d078d2a90cc3c17e038934d210b715"></a><!-- doxytag: member="octetramesh.c::octetramesh_stats" ref="ae7d078d2a90cc3c17e038934d210b715" args="(octetramesh_t *T)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="structoctetramesh__stats__t.html">octetramesh_stats_t</a> octetramesh_stats </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>T</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
<a class="anchor" id="af428af2eb781dde55521f846a609fc92"></a><!-- doxytag: member="octetramesh.c::octetramesh_subdivide" ref="af428af2eb781dde55521f846a609fc92" args="(octetramesh_t *dst, octetramesh_t *src)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_subdivide </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>Subdivide each octahedron into 6 octahedra and 8 tetrahedra, and subdivide each tetrahedron into 4 tetrahedra and an octahedron. </p>
</div>
</div>
<a class="anchor" id="a544846e7353c54d332b5b60f61df9046"></a><!-- doxytag: member="octetramesh.c::octetramesh_subdivide_mres" ref="a544846e7353c54d332b5b60f61df9046" args="(octetramesh_t *dst, octetramesh_t *src, double(*f)(double *, void *), void *fdata, double resolution)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_subdivide_mres </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double(*)(double *, void *) </td>
<td class="paramname"> <em>f</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">void * </td>
<td class="paramname"> <em>fdata</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">double </td>
<td class="paramname"> <em>resolution</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>Multi-resolution subdivision based on approximating a scalar function f to a given resolution. </p>
</div>
</div>
<a class="anchor" id="a8201877aad11fb60fa49faff497af2d3"></a><!-- doxytag: member="octetramesh.c::octetramesh_subdivide_select" ref="a8201877aad11fb60fa49faff497af2d3" args="(octetramesh_t *dst, octetramesh_t *src, int *tetmask, int *octmask)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void octetramesh_subdivide_select </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>dst</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>src</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"> <em>tetmask</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int * </td>
<td class="paramname"> <em>octmask</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>Subdivide each specificied octahedron into 6 octahedra and 8 tetrahedra, and subdivide each specified tetrahedron into 4 tetrahedra and an octahedron. </p>
</div>
</div>
<a class="anchor" id="a49f4655865a545d276dc766ff632f4d6"></a><!-- doxytag: member="octetramesh.c::octetramesh_to_tetramesh" ref="a49f4655865a545d276dc766ff632f4d6" args="(octetramesh_t *mesh)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="structtetramesh__t.html">tetramesh_t</a>* octetramesh_to_tetramesh </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structoctetramesh__t.html">octetramesh_t</a> * </td>
<td class="paramname"> <em>mesh</em></td>
<td> ) </td>
<td></td>
</tr>
</table>
</div>
<div class="memdoc">
</div>
</div>
</div>
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<a href="javascript:void(0)" onclick='searchDialog()' title="$text{'search'}"><img src='images/icons/quick/edit-find.png' alt="$text{'search'}" /></a>
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byceps/blueprints/admin/shop/order/templates/layouts/admin/shop/order.html | m-ober/byceps | {% extends 'layouts/admin/shop.html' %}
{% set current_page = 'shop_order_admin' %}
{% set current_tab = 'orders' %}
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OnlineContributors/context/css/tinymce.css | tolweb/tolweb-app | body {
font-family: Verdana, Lucida, Arial, sans-serif;
font-size: 11px;
color: #000;
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background: #fff;
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background-repeat: no-repeat;
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display: block;
border: 1px solid #908d80;
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margin: 25px 0 15px 0;
letter-spacing: 2px;
border-bottom: 1px dotted #5d5040;
}
h2.noborder, h3.noborder {
border: 0;
}
h4 {
font-size: 12px;
font-weight: normal;
margin: 15px 0 5px 0;
padding: 0;
letter-spacing: 2px;
line-height: 1.5;
}
h5 {
font-size: 11px;
font-weight: bold;
margin: 15px 0;
padding: 0;
letter-spacing: 1px;
}
#AboutThisPage h5, #titlefigcaption h5 {
border-bottom: 1px dotted #5d5040;
font-size: 12px;
}
h6 {
font-size: 10px;
font-weight: bold;
margin: 15px 0;
padding: 0;
letter-spacing: 1px;
}
/* Images */
img {
border: 0;
}
img.center, img.bc {
display: block;
border: 0;
max-width: 100%;
margin: 25px auto 5px auto;
}
/* Inline Images */
img.inline, img.bottom, img.bottomb, img.bottombb, img.middle, img.middleb, img.middlebb, img.top, img.topb, img.topbb {
display: inline;
margin: 0;
}
img.bottom, img.bottomb, img.bottombb
{vertical-align: bottom;
}
img.middle, img.middleb, img.middlebb
{vertical-align: middle;
}
img.top, img.topb, img.topbb
{vertical-align: top;
}
/* Floated Images */
img.floatright, img.bfr, div.imgfr, div.imgfrb, div.imgfrbb {
float: right;
margin: 5px 0 10px 10px;
}
img.floatleft, img.bfl, div.imgfl, div.imgflb, div.imgflbb {
float: left;
margin: 5px 15px 10px 0;
}
/* Image Formatting */
div.imgcenter, div.imgleft, div.imgright, div.imgcenterb, div.imgleftb, div.imgrightb, div.imgcenterbb, div.imgleftbb, div.imgrightbb {
margin: 25px 0;
}
img.border, img.bc, img.bfr, img.bfl, div.imgcenterb img, img.bottomb, img.middleb, img.topb, div.imgleftb img, div.imgrightb img, div.imgflb img, div.imgfrb img, table.arrayb {
border: 1px solid #908d80;
}
img.bborder, img.bbfr, img.bbfl, img.bottombb, img.middlebb, img.topbb, div.imgcenterbb img, div.imgleftbb img, div.imgrightbb img, div.imgflbb img, div.imgfrbb img, table.arraybb {
border: 1px solid #000;
}
div.imgcenterb img, div.imgleftb img, div.imgrightb img, div.imgflb img, div.imgflrb img, div.imgcenterbb img, div.imgleftbb img, div.imgrightbb img, div.imgflbb img, div.imgflrbb img {
margin-left: -1px;
}
div.imgrow {
margin-top: -1px;
}
div.imgcenter, div.imgfl, div.imgfr, div.imgcenterb, div.imgflb, div.imgfrb, div.imgcenterbb, div.imgflbb, div.imgfrbb, div.imgcenter table td, div.imgleft table td, div.imgright table td {
text-align: center;
}
div.imgleft, div.imgleftb, div.imgleftbb {
text-align: left;
}
div.imgright, div.imgrightb, div.imgrightbb {
text-align: right;
}
table.arrayb, table.arraybb, table.arrayb td, table.arraybb td {
padding: 0;
border-collapse: collapse;
}
div.imgcenter table {
margin: 0 auto;
}
div.imgright table {
margin: 0 0 0 auto;
}
div.picbox, div.picboxfl, div.picboxfr {
border: 1px solid #eee;
margin: 15px;
}
div.picbox img, div.picbox p, div.picboxfl img, div.picboxfl p, div.picboxfr img, div.picboxfr p {
margin: 5px auto;
padding: 5px 10px;
}
div.picboxfl {
float: left;
}
div.picboxfr {
float: right;
}
/* Image Captions */
p.caption, p.captionleft, .caption, .captionleft {
font-size: 10px;
color: #5d5040;
line-height: 1.3;
margin: 10px 25px 25px 25px;
font-weight: normal;
}
p.caption {
text-align: center;
}
p.captionleft, .captionleft {
text-align: left;
margin-left: 0;
}
p.captionright, div.captionright {
text-align: right;
margin-right: 0;
}
div.imgcenter p, div.imgleft p, div.imgright p, div.imgfl p, div.imgfr p, div.imgcenterb p, div.imgleftb p, div.imgrightb p, div.imgflb p, div.imgfrb p, div.imgcenterbb p, div.imgleftbb p, div.imgrightbb p, div.imgflbb p, div.imgfrbb p, div.imgcenter ol li, div.imgleft ol li, div.imgright ol li, tr.caption td p, tr.caption td ol li {
font-size: 10px;
color: #5d5040;
line-height: 1.3;
margin: 10px 0 0 0;
}
div.imgcenter p a.anchor, div.imgleft p a.anchor, div.imgright p a.anchor, div.imgfl p a.anchor, div.imgfr p a.anchor, div.imgcenterb p a.anchor, div.imgleftb p a.anchor, div.imgrightb p a.anchor, div.imgflb p a.anchor, div.imgfrb p a.anchor, div.imgcenterbb p a.anchor, div.imgleftbb p a.anchor, div.imgrightbb p a.anchor, div.imgflbb p a.anchor, div.imgfrbb p a.anchor
{color: #5d5040;
}
div.imgcenter ol, div.imgleft ol, div.imgright ol, div.imgcenter ol li, div.imgleft ol li, div.imgright ol li, tr.caption td ol li {
margin: 2px 0;
font-size: 9px;
}
/* Paragraph Styles */
p
{margin: 10px 0 15px 0;
padding: 0;
font-size: 11px;
line-height: 1.4;
}
p.indent {
padding-left: 40px;
}
p.border, div.border {
border: 1px solid #908d80;
padding: 0 5px;
margin: 10px 0;
}
p.box, div.box, p.bluebox, div.bluebox {
border: 1px solid #908d80;
background: #f8f6eb;
padding: 5px 10px;
}
p.bluebox, div.bluebox {
border: 1px solid #9999cc;
background: #f2f2ff;
}
p.nnl, p.nnr, p.nnc, p.nnj, p.nll, p.nlr, p.nlc, p.nlj, p.nsl, p.nsr, p.nsc, p.nsj
{padding-left: 0px;
}
p.inl, p.inr, p.inc, p.inj, p.ill, p.ilr, p.ilc, p.ilj, p.isl, p.isr, p.isc, p.isj
{padding-left: 40px;
}
p.nnl, p.nnr, p.nnc, p.nnj, p.inl, p.inr, p.inc, p.inj
{font-size: 11px;
}
p.nll, p.nlr, p.nlc, p.nlj, p.ill, p.ilr, p.ilc, p.ilj
{font-size: 12px;
letter-spacing: 1px;
}
p.nsl, p.nsr, p.nsc, p.nsj, p.isl, p.isr, p.isc, p.isj
{font-size: 10px;
}
p.nnl, p.nll, p.nsl, p.inl, p.ill, p.isl
{text-align: left;
}
p.nnr, p.nlr, p.nsr, p.inr, p.ilr, p.isr
{text-align: right;
}
p.nnc, p.nlc, p.nsc, p.inc, p.ilc, p.isc
{text-align: center;
}
p.nnj, p.nlj, p.nsj, p.inj, p.ilj, p.isj
{text-align: justify;
}
div.stickies, p.stickies, div.stickiesl, div.stickiesr, p.stickiesl, p.stickiesr {
width: 200px;
border: 1px dotted #ccc;
background-color: #ffffbb;
margin: 0 0 15px 15px;
padding: 10px;
color: #666;
font-family: Arial, Helvetica, sans-serif;
font-size: 10px;
}
.stickiesl {
float: left;
}
.stickiesr {
float: right;
}
.topborder, tr.topborder td, tr.topborder th {
border-top: 1px dotted #5d5040;
padding-top: 20px;
}
.bottomborder, tr.bottomborder td, tr.bottomborder th {
border-bottom: 1px dotted #5d5040;
padding-bottom: 20px;
}
.rightborder {
border-right: 1px dotted #5d5040;
padding-right: 20px;
}
.leftborder {
border-left: 1px dotted #5d5040;
padding-left: 20px;
}
p.midblock, div.midblock {
padding: 0 40px;
}
p.smallmidblock, div.smallmidblock, p.blueblock, div.blueblock, p.yblock, div.yblock {
margin: 20px 80px;
padding: 10px;
border: 1px solid #908d80;
background: #f8f6eb;
}
p.blueblock, div.blueblock {
border: 1px solid #9999cc;
background: #f2f2ff;
}
p.yblock, div.yblock {
background: #f3f9ab;
}
p.largebold {
font-size: 12px;
font-weight: bold;
margin: 15px 0;
padding: 0;
letter-spacing: 1px;
color: #5d5040;
font-family: Arial, Helvetica, sans-serif;
}
p.cite {
margin: 0 0 2px 0px;
padding-left: 20px;
text-indent: -20px;
font-size: 10px;
line-height: 1.2;
}
/* Link Styles */
a:link {
text-decoration : underline;
color: #000099;
background: transparent;
cursor: pointer;
}
a:visited, a:visited strong, strong a:visited {
color: #8141b1;
background: transparent;
}
a:hover, a:hover strong, strong a:hover {
text-decoration: underline;
color: #ff3300;
background: transparent;
cursor: pointer;
}
a:active {
text-decoration : none;
color: #9966cc;
background: transparent;
cursor: pointer;
}
a.noline {
text-decoration: none;
}
a.noline:hover, a.noline:active {
text-decoration: underline;
}
a strong, strong a {
color: #000099;
}
#maincontent a:hover {
text-decoration: underline ! important;
color: #ff3300 ! important;
background: transparent;
}
#maincontent a:active {
color: #9966cc ! important;
background: transparent;
}
/* List Styles */
ul {
font-size: 11px;
line-height: 1.3;
list-style-type: disc;
list-style-position: outside;
padding-left: 30px;
}
ul.disc {
list-style-type: disc ! important;
}
ul.circle
{list-style-type: circle ! important;
}
ul.plain, ul.plain ul, ul.nodisc, ul.nodisc ul, ul.printlinksnd, ul.printlinksnd ul, ul.links, ul.links ul, ul.inline, ul.hang, ul.flushleft, ul.pages, ul.pages ul, ul.indent200links, ul.indent160links, ul.center {
list-style-type: none;
list-style-image: none;
}
ul.plain {
margin: 0;
padding: 10px 0;
}
ul.links a, ul.indent200links a, ul.indent160links a {
text-decoration: none;
}
ul.inline {
display: block;
padding: 0;
}
ul.inline li {
display: inline;
}
ul.center li {
text-align: center;
}
ul.hang {
margin-left: 50px;
text-indent: -25px;
line-height: 1.2;
}
ul.hang li {
padding: 2px 0;
}
ul.flushleft {
padding-left: 25px;
margin: 0;
text-indent: -25px;
}
ul.pages, ul.pages ul {
padding-left: 20px;
}
ul.pages li {
margin-top: 10px;
}
ul.pages a, ul.pages2 a, ul.pages a:visited, ul.pages2 a:visited, ul.pages strong {
font-size: 11px;
letter-spacing: 1px;
line-height: 1.4;
font-weight: bold;
text-decoration: none;
}
ul.pages ul {
padding-left: 50px;
}
ul.pages ul li {
margin: 0;
}
ul.pages ul a, ul.pages2 ul a, ul.pages ul a:visited, ul.pages2 ul a:visited {
margin: 0;
font-size: 10px;
font-weight: normal;
}
ul.pages2, ul.pages2 ul {
list-style-type: circle;
list-style-image: none;
margin-top: -5px;
padding-left: 40px;
padding-bottom: 10px;
}
ul.pages2 li {
margin-top: 5px;
}
ul.pages2 ul
{
padding-left: 50px;
}
ul.boxes, ul.box {
list-style-type: none;
list-style-image: none;
text-align: center;
padding: 0;
margin: 30px auto;
}
ul.boxes li {
display: inline;
border: 1px solid #ccc;
background-color: #f8f6eb;
padding: 2px 15px;
margin: 5px 0;
}
ul.boxes li a, ul.box li a {
padding: 5px 0;
text-decoration: none;
}
ul.box {
border: 1px solid #ccc;
background-color: #f8f6eb;
}
ul.box li {
display: inline;
padding: 2px 15px;
margin: 5px 0;
}
ul.indent200links {
margin-left: 200px;
}
ul.indent160links {
margin-left: 160px;
}
ul.world
{
list-style-image: url(/tree/img/tinyworld.gif);
}
ul.world li
{
vertical-align: top;
}
ol {
font-size: 11px;
line-height: 1.3;
list-style-position: outside;
list-style-type: decimal;
}
ol.alpha {
list-style-type: lower-alpha;
}
ol.roman {
list-style-type: lower-roman;
}
ol.ualpha {
list-style-type: upper-alpha;
}
ol.uroman {
list-style-type: upper-roman;
}
ol.flushleft {
margin-left: 25px;
padding-left: 0;
}
li.gap, li.gapover1, li.gapover2, li.gapover3, li.gapover4, li.gapover5 {
padding-top: 5px;
}
li.gap10, li.gapover101, li.gapover102, li.gapover103, li.gapover104, li.gapover105 {
padding-top: 10px;
}
dl {
font-size: 11px;
}
dt {
font-weight: bold;
padding-top: 10px;
color: #5d5040;
}
dd {
line-height: 1.2;
padding-top: 5px;
}
dt.indent, dd.indent {
text-indent: 25px;
}
/* Table Styles */
table {
font-size: 11px;
line-height: 1.1;
border: 0;
margin: 15px 0 15px 0;
background-color: transparent;
}
th, caption {
font-weight: bold;
color: #5d5040;
}
table tr td, table tr th {
padding: 5px;
vertical-align: top;
text-align: left;
background-color: transparent;
border: 0px solid #999;;
}
table.border, table.border tr td, table.border tr th, table.bc, table.bc tr td, table.bc tr th, table.allbc, table.allbc tr th, table.allbc tr td {
border: 1px solid #999;
border-spacing: 0;
border-collapse: collapse;
}
table.center, table.allc, table.bc, table.allbc {
border: 0;
margin: 15px auto;
padding: 10px;
}
tr.center td, tr.center th, td.center, th.center, table.allc th, table.allc td, table.allbc th, table.allbc td {
text-align: center;
}
tr.left td, tr.left th, td.left, th.left {
text-align: left !important;
}
table.required, table.optional { /* These are the tables used on the privacy policy page */
font-size: 11px;
border: 0;
margin: 0 25px 15px 25px;
vertical-align: top;
padding: 0;
}
table.required {
background-color: #e8e3cf;
}
table.optional {
background-color: #f8f6eb;
}
table.required caption, table.optional caption {
font-weight: bold;
border: 0;
margin: 10px 25px 0 25px;
padding: 5px;
text-align: center;
}
table.required caption {
background-color: #e8e3cf;
}
table.optional caption {
background-color: #f8f6eb;
}
table.required th, table.optional th {
font-weight: bold;
width: 150px;
}
table.required td, table.optional td {
background-color: #fff;
}
/* General Content Styles */
strong {
color: #5d5040;
font-weight: bold;
}
blockquote {
font-size: 10px;
color: #5d5040;
line-height: 1.3;
margin: 5px 40px;
}
.hidden {
display: none;
}
.highlight {
background-color: #ffffbb;
color: #000;
}
.hide { /* Used in the right sidebar tips */
display: none;
}
.show, .block {
display: block;
}
.down {
cursor: pointer;
background-repeat: no-repeat;
background-image: url(/tree/img/triopen.gif);
background-position: 100% 0;
}
.up {
cursor: pointer;
background-repeat: no-repeat;
background-image: url(/tree/img/triclosed.gif);
background-position: 100% 0;
}
.floatleft {
float: left;
margin-right: 10px;
}
.floatright {
float: right;
margin-left: 10px;
}
.clear {
clear: both;
}
div.inline, p.inline, li.inline {
display: inline;
}
.left {
text-align: left;
}
.right {
text-align: right;
}
em.right, strong.right, span.right {
display: block;
}
.indent {
margin-left: 40px;
}
.indent130 {
margin-left: 130px;
}
.indent160 {
margin-left: 160px;
}
.indent200 {
margin-left: 200px;
}
pre {
font-family: Courier, monospace;
font-size: 11px
}
hr {
margin-left: auto;
margin-right: auto;
border: none;
height: 1px;
background-color: #908d80;
color: #908d80;
}
.boldtext {
font-size: 11px;
font-weight: bold;
letter-spacing: 1px;
}
.boldblue {
font-size: 11px;
font-weight: bold;
letter-spacing: 1px;
color: #000099;
}
.whiteitalic {
font-style: italic;
color: #fff;
}
.center {
text-align: center;
}
div.center, div.bc, p.center, p.bc, strong.center, input.center {
text-align: center;
display: block;
margin: 5px auto;
}
div.bc img {
border: 1px solid #908d80;
}
.searchterms {
font-size: 11px;
font-weight: normal;
color: #666;
font-style: italic;
background-color: transparent;
}
.searchresults {
font-size: 11px;
color: #006600;
font-weight: bold;
background-color: transparent;
}
.superscript {
font-size: 9px;
vertical-align: super
}
.underline, .lunderline {
text-decoration: underline;
}
.red {
background-color: transparent;
color: #cc0000;
}
.green {
background-color: transparent;
color: #28c128;
}
.blue {
background-color: transparent;
color: #000099;
}
.bblue {
background-color: transparent;
color: #006fd8;
}
.brown {
background-color: transparent;
color: #5d5040;
}
.largebrown {
font-size: 12px;
font-weight: bold;
color: #5d5040;
background-color: transparent;
}
.NeedsToBeEdited {
font-size: 12px;
font-weight: bold;
color: #cc0000;
font-style: italic;
}
.small {
font-size: 10px;
}
.large, .lunderline {
font-size: 12px;
letter-spacing: 1px;
}
.tiny {
font-size: 9px;
}
em.taxoni {
font-style: italic;
}
em.taxon {
font-style: normal;
}
/* Special Content styles */
#authors {
font-size: 11px;
font-weight: bold;
color: #5d5040;
padding: 5px 0;
letter-spacing: 2px;
text-decoration: none;
}
#authors:hover {
text-decoration: underline;
}
/* Pagestatus formatting */
#pagestatus {
position: absolute;
top: 63px;
right: 160px;
border: 0;
background: transparent;
padding: 5px;
}
/* commented backslash hack v2 for hiding things from IEMac \*/
#pagestatus {
top: 51px;
}
/* end hack */
#pagestatus a {
font-family: Arial, Helvetica, sans-serif;
font-size: 10px;
letter-spacing: 4px;
text-decoration: none;
color: #908d80;
background-color: #fff;
padding: 4px;
text-transform: lowercase;
}
#pagestatus a:hover, #pagestatus a.peer {
color: #5d5040 ! important;
background-color: #fff;
}
#pagestatus a.peer:hover {
font-weight: bold;
background-color: #fff;
}
#pagestatus img {
display: inline;
margin: 0;
padding: 0;
}
/* Title Illustrations */
#tillus {
margin: 20px 0;
display: block;
}
#tillus img {
display: inline;
}
#tillus img.singletillus {
max-width: 95%;
}
div.imgdoc {
margin: 0;
padding: 5px;
clear: both;
}
div.imgdoc img {
border: 1px solid #908d80;
margin: 0 auto;
clear: left;
}
div.thumbn {
width: 200px;
float: left;
text-align: center;
padding: 0;
}
table.imgdata {
font-size: 10px;
border: 0;
margin: 0;
padding: 0;
clear: right;
}
table.imgdata th {
font-weight: bold;
width: 120px;
vertical-align: top;
text-align: right;
color: #5d5040;
}
table.imgdata td {
vertical-align: top;
text-align: left;
}
table.imgdata td p {
font-size: 10px;
}
table.imgdata td p a img {
padding: 0;
border: 0;
margin: 0;
display: inline;
float: none;
vertical-align: middle;
text-decoration: none ! important;
}
div.imgdoc:after {
content: ".";
display: block;
height: 0;
clear: both;
visibility: hidden;
}
/* The Tree */
img.toptree {
display: block;
margin: 10px 0;
}
#taxonlist, #taxonlist ul, ul.taxonlist {
margin: 0;
list-style-type: none;
list-style-image: none;
padding: 4px 0 5px 30px;
}
#taxonlist, ul.taxonlist {
padding: 15px 5px 15px 0;
}
.over1, li.gapover1 {
padding-left: 30px;
}
.over2, li.gapover2 {
padding-left: 60px;
}
.over3, li.gapover3 {
padding-left: 90px;
}
.over4, li.gapover4 {
padding-left: 120px;
}
.over5, li.gapover5 {
padding-left: 150px;
}
#taxonlist li, ul.taxonlist li {
font-family: Arial, Helvetica, sans-serif;
font-size: 11px;
line-height: 1.1;
text-indent: 0;
}
#taxonlist li a, taxonlist ul li a {
text-decoration: none;
color: #0000ee;
}
#taxonlist li a:hover, taxonlist ul li a:hover {
text-decoration: underline;
color: #ff3300;
}
#taxonlist li a:active, taxonlist ul li a:active {
text-decoration: underline;
color: #9966cc;
}
#taxonlist span.description, #taxonlist span.authority, #taxonlist span.property, span.description, span.authority, span.property {
font-family: Arial, Helvetic, sans-serif;
font-size: 11px;
font-weight: normal;
padding-left: 5px;
color: #908d80;
}
#taxonlist span.property, span.property {
font-style: italic;
}
#taxonlist span.authority, span.authority {
font-variant: small-caps;
font-size: 12px;
}
img.treeicons {
margin: 0;
padding: 3px 5px;
display: inline;
vertical-align: top;
}
#aftertree, #leadtext {
font-size: 10px;
margin: 15px 0 15px 20px;
}
#aftertree p, #leadtext p {
font-size: 10px;
}
#treehelp {
padding: 5px;
cursor: pointer;
display: block;
margin: 0 0 0 15px;
}
#treecomment {
position: absolute;
width: 500px;
left: 80px;
margin: 0 0 0 40px;
padding: 10px;
background: #f8f6eb;
border: 1px solid #5d5040;
}
#treecomment p {
font-size: 10px;
margin: 5px 0 0 0;
}
img.closebox {
float: right;
border: 1px solid #333;
cursor: pointer;
padding: 0;
margin: 0 0 10px 10px;
}
#treecomment span.close {
cursor: pointer;
font-size: 9px;
float: right;
padding: 5px 5px 0 0;
color: #999;
}
#treecomment span.close:hover, #pttip span.close:active {
color: #333;
}
#treecomment.show, #deeplist.show {
display: block;
}
#treecomment.hide, #deeplist.hide {
display: none;
}
#containing {
font-size: 11px;
font-weight: normal;
color: #5d5040;
margin: 0;
padding: 15px 0;
}
#containing a {
text-decoration: none;
}
/* Random Images */
.rndimgbox {
clear: both;
margin: 0 auto;
padding: 15px 0;
width: 500px;
}
.rndimg {
float: left;
padding: 5px;
width: 240px;
text-align: center;
}
.rndimg img {
max-width: 230px;
}
.rndimg a.pagelink, .rndimgc {
display: block;
padding: 5px 0 0 0;
}
.rndimgc {
font: 10px Arial, Helvetica, sans-serif;
}
/* About This Page Section */
#AboutThisPage h5 {
clear: left;
}
#AboutThisPage p {
font-size: 10px;
}
#authorlink {
padding: 15px 0;
margin: 0;
font-size: 11px;
line-height: 1.8;
list-style-type: none;
list-style-image: none;
}
#authorlink a {
font-weight: bold;
}
#correspondence {
padding: 10px 0;
}
#pagecopyright {
padding: 10px 0;
margin: 0;
font-size: 10px;
font-family: Arial, Helvetica, sans-serif;
line-height: 1.2;
}
#pagecopyright img {
vertical-align: middle;
margin-left: 0 5px;
}
#pagecitation {
background-color: #f8f6eb;
border: 1px solid #5d5040;
margin: 15px 0;
padding: 10px 15px;
}
#pagecitation h6 {
margin-top: 0;
}
#pagecitation p.cite {
padding: 0 25px;
}
#pagecitation .url {
font-style: italic;
color: #0066cc;
white-space: nowrap;
}
#pagedata {
padding: 5px 0;
list-style-type: none;
list-style-image: none;
margin: 0;
font-size: 10px;
font-family: Arial, Helvetica, sans-serif;
color: #999;
line-height: 1.2;
}
/* Beta & Working */
#betaalert {
margin: 10px 150px 0 0;
font-size: 12px;
color: #cc0000;
padding: 5px;
background: #ffffcc;
font-family: Arial, Helvetica, sans-serif;
border: 1px solid #cc0000;
}
#workingsite {
margin: 10px 150px 0 -30px;
font-size: 12px;
font-family: Arial, Helvetica, sans-serif;
color: #5d5040;
}
/* Site Navigation */
#ToLWebProject {
position: absolute;
top: 25px;
left: 130px;
margin: 0;
display: block;
width: 200px;
height: 20px;
border: 0;
padding: 5px;
}
#HomeLink {
position: absolute;
top: 0;
left: 0;
height: 50px;
width: 115px;
text-decoration: none;
}
#HomeLink:hover {
background-position: 0 0;
background-repeat: no-repeat;
background-image: url(/tree/img/HomeLink.jpg);
}
#sitenav {
position: absolute;
top: 0;
right: 160px;
height: 50px;
margin-left: 120px;
padding: 0;
background: transparent;
}
#sitenav.on {
display: block;
}
#sitenav.off {
display: none;
}
#sitenav ul {
list-style: none;
list-style-image: none;
padding: 0;
margin: 1px 20px;
background: #e8e3cf;
border-bottom: 1px solid #ddd8bf;
}
#sitenav ul li {
display: inline;
text-transform: lowercase;
font-family: Arial, Helvetica, sans-serif;
font-size: 10px;
letter-spacing: 2px;
padding: 1px 10px;
}
#sitenav ul li a {
text-decoration: none;
cursor: pointer;
color: #908d80;
padding: 0;
margin: 0;
}
#sitenav li a:hover, #sitenav li a:active {
background-color: transparent;
color: #5d5040;
}
/* Quicksearch. */
#quicksearch { /* Cave: putting this form into a div breaks positioning in IE Mac! */
position: absolute;
top: 0;
right: 0;
margin: 0;
/*width: 200px;*/
text-align: right;
padding: 8px 10px 0 0;
font-size: 9px;
font-family: Arial, Helvetica, sans-serif;
background: transparent;
}
.gooquick {
font-size: 9px;
background-color: #fff;
color: #999;
margin: 5px auto;
vertical-align: middle;
}
#quicksearch div {
display: block;
margin-top: -4px;
}
#quicksearch a {
cursor: pointer;
color: #908d80;
padding: 0 4px;
margin: 0;
text-align: right;
background: #e8e3cf;
}
#quicksearch a:hover, #quicksearch a:active {
color: #5d5040;
}
/* Local/Section Navigation */
#localnav, #sectionnav {
position: absolute;
right: 0;
top: 0;
margin-top: 63px;
padding: 10px 0 0 0;
background: #e8e3cf;
border-left: 1px solid #ddd8bf;
border-top: 1px solid #5d5040;
width: 159px;
}
/* commented backslash hack v2 for hiding things from IEMac \*/
#localnav, #sectionnav {
margin-top: 50px;
}
/* end hack */
#localnav h2 {
font-size: 11px;
font-weight: bold;
padding: 5px 0 20px 15px;
text-align: left;
margin: 0;
text-indent: -5px;
letter-spacing: 1px;
clear: none;
border: 0;
}
#localnav h2.branchtitle, #localnav h2.branchtitle a {
color: #5d5040;
text-decoration: none;
}
#localnav h2.leaftitle, #localnav h2.leaftitle a {
color: #006600;
text-decoration: none;
}
#localnav h2.leaftitle a:hover, #localnav h2.leaftitle a:active, #localnav h2.branchtitle a:hover, #localnav h2.branchtitle a:active {
text-decoration: underline;
}
/* Page Type */
#pagetype {
float: right;
padding: 0 5px;
margin: 0;
cursor: pointer;
}
#pagetype.branchleaf {
height: 25px;
width: 30px;
}
#pagetype.bonus {
height: 25px;
width: 45px;
}
#pttip {
position: absolute;
width: 250px;
padding: 0;
border: 1px solid #5d5040;
background: #f8f6eb;
top: 40px;
right: 30px;
}
#pttip.show, #exploretip.show {
display: block
}
#pttip.hide, #exploretip.hide {
display: none;
top: -300px;
right: -300px;
}
#pttip p, #exploretip p {
margin: 10px;
font-size: 10px;
padding: 0;
}
#pttip strong {
font-size: 11px;
font-weight: bold;
}
#pttip strong.branch {
color: #5d5040;
}
#pttip strong.leaf {
color: #006600;
}
#pttip span.close, #exploretip span.close, #deeplist span.close {
cursor: pointer;
font-size: 9px;
float: right;
padding: 5px;
color: #999;
}
#pttip span.close:hover, #pttip span.close:active, #exploretip span.close:hover, #exploretip span.close:active {
color: #333;
}
#pttip img.closebox {
margin: 5px 5px 10px 10px;
}
/* Local Menus, Left Sidebar Menus */
#localnav h3 {
font-size: 11px;
font-weight: normal;
text-align: center;
color: #5d5040;
border: 0;
padding: 30px 0 10px 0 ;
margin: 0 0 10px 0;
letter-spacing: 1px;
border-top: 1px solid #ddd8bf;
cursor: pointer;
}
#exploretip {
position: absolute;
width: 450px;
padding: 10px;
border: 1px solid #5d5040;
background: #f8f6eb;
top: 10px;
right: 170px;
}
#localnav h4.closed, #localnav h4.open, #localnav h4.nomenu a, #leftsidebar h4.closed, #leftsidebar h4.open, #leftsidebar h4.nomenu a {
cursor: pointer;
background-position: 10px 10px;
background-repeat: no-repeat;
font-family: Arial, Helvetica, sans-serif;
font-size: 11px;
font-weight: normal;
letter-spacing: 1px;
margin: 0;
color: #908d80;
text-decoration: none;
background-color: transparent;
padding: 5px 10px 5px 25px;
border-top: 1px solid #ddd8bf;
}
#localnav h4.nomenu a {
background-image: none;
display: block;
margin-top: -15px;
}
#leftsidebar h4.closed, #leftsidebar h4.open, #leftsidebar h4.nomenu a {
text-transform: lowercase;
}
#leftsidebar h4.nomenu a {
border-top: 0;
}
#localnav h4.closed, #leftsidebar h4.closed {
background-image: url(/tree/img/triclosed.gif);
}
#localnav h4.open, #leftsidebar h4.open {
background-image: url(/tree/img/triopen.gif);
background-position: 8px 10px;
color: #5d5040;
}
#pagecontent, #articles, #notes, #treehouses {
text-transform: lowercase;
}
#navsearch.closed, #navsearchmenu, #localnav h4.nomenu { /* putting a bottom border on the last element of each sidebar */
border-bottom: 1px solid #ddd8bf;
}
#localnav #pagecontent.open, #localnav #navother.open, #localnav #pagecontent.closed, #localnav #navother.closed { /* getting rid of top border on the first element of each section */
border-top: 0;
}
#localnav h4:hover, #localnav h4:active , #leftsidebar h4:hover, #leftsidebar h4:active {
background-color: #dcd5c6;
color: #5d5040;
}
#localnav h4.nomenu a:hover, #localnav h4.nomenu a:active, #leftsidebar h4.nomenu a:hover, #leftsidebar h4.nomenu a:active, #localnav h4.nomenu:hover, #localnav h4.nomenu:active, #leftsidebar h4.nomenu:hover, #leftsidebar h4.nomenu:active {
background: transparent;
color: #5d5040;
}
#localnav ul, #leftsidebar ul {
list-style: none;
list-style-image: none;
background-color: transparent;
padding: 2px 10px 5px 35px;
margin: 0;
}
#localnav ul.closed, #leftsidebar ul.closed {
display: none;
}
#localnav ul.open, #leftsidebar ul.open {
display: block;
}
#localnav ul li , #leftsidebar ul li {
font-family: Arial, Helvetica, sans-serif;
font-size: 10px;
line-height: 1.1;
padding: 1px 0 0 10px;
margin-left: -10px;
text-indent: -10px;
border: 0;
color: #908d80;
}
#localnav ul li a, #localnav ul li a:visited, #leftsidebar ul li a, #leftsidebar ul li a:visited {
text-decoration: none;
color: #908d80;
}
#localnav ul li a:hover, #localnav ul li a:active, #leftsidebar ul li a:hover, #leftsidebar ul li a:active {
background-color: transparent;
color: #5d5040;
font-weight: normal;
}
#localnav li.thispage {
color: #c6c1b0;
margin-left: -25px;
padding-left: 25px;
background-position: 0 5px;
background-repeat: no-repeat;
background-image: url(/tree/img/dia.gif);
}
#localnav li.nopage {
color: #c6c1b0;
}
#localnav li.listintro {
color: #5d5040;
padding: 0;
margin: 0 0 5px -10px;
text-indent: 0;
}
#treehmenu li {
margin: 3px 0 0 0;
text-transform: lowercase;
padding: 0;
}
#treehmenu li ul {
margin: 0;
padding: 0;
}
#treehmenu li ul li {
text-transform: none;
margin: 0;
}
#treehmenu li.investigation, #treehmenu li.investigation ul li a:hover, #treehmenu li.investigation ul li a:active {
color: #3333FF !important;
}
#treehmenu li.stories, #treehmenu li.stories ul li a:hover, #treehmenu li.stories ul li a:active {
color: #ff6600 !important;
}
#treehmenu li.games, #treehmenu li.games ul li a:hover, #treehmenu li.games ul li a:active {
color: #009933 !important;
}
#treehmenu li.artculture, #treehmenu li.artculture ul li a:hover, #treehmenu li.artculture ul li a:active {
color: #6B47B3 !important;
}
#treehmenu li.bio, #treehmenu li.bio ul li a:hover, #treehmenu li.bio ul li a:active {
color: #666 !important;
}
#treehmenu li.teacherresource, #treehmenu li.teacherresource ul li a:hover, #treehmenu li.teacherresource ul li a:active {
color: #993333 !important;
}
#treehmenu li.investigation ul li a {
color: #9B9BFB !important;
}
#treehmenu li.stories ul li a {
color: #FFA060 !important;
}
#treehmenu li.games ul li a {
color: #61B47D !important;
}
#treehmenu li.artculture ul li a {
color: #9C8FB6 !important;
}
#treehmenu li.bio ul li a {
color: #999 !important;
}
#treehmenu li.teacherresource ul li a {
color: #9B7A7A !important;
}
/* Section Navigation (Home Pages) */
#sectionnav h1 { /* This is the one used on the home pages */
font-size: 11px;
font-weight: bold;
padding: 0;
text-align: center;
letter-spacing: 1px;
border: 0;
margin: 10px auto;
}
#sectionnav h4 {
cursor: pointer;
background-position: 10px 10px;
background-repeat: no-repeat;
font-family: Arial, Helvetica, sans-serif;
font-size: 11px;
font-weight: normal;
letter-spacing: 1px;
margin: 0;
color: #908d80;
background-color: transparent;
border-bottom: 1px solid #ddd8bf;
padding: 5px 10px 5px 25px;
}
#sectionnav h4.closed {
background-image: url(/tree/img/triclosed.gif);
}
#sectionnav h4.open {
background-image: url(/tree/img/triopen.gif);
background-position: 8px 10px;
color: #5d5040;
border: 0;
}
#sectionnav h4.closed a, #sectionnav h4.open a {
text-decoration: none;
color: #908d80;
}
#sectionnav h4.nomenu a {
background-image: none;
text-decoration: none;
color: #908d80;
display: block;
}
#sectionnav ul {
list-style: none;
list-style-image: none;
background-color: transparent;
padding: 5px 10px 5px 35px;
margin: 0;
}
#sectionnav ul li {
font-family: Arial, Helvetica, sans-serif;
font-size: 10px;
line-height: 1.1;
padding: 1px 0;
text-indent: -10px;
border: 0;
color: #908d80;
}
#sectionnav ul.closed {
display: none;
}
#sectionnav ul.open {
display: block;
border-bottom: 1px solid #ddd8bf;
}
#sectionnav h4.closed:hover, #sectionnav h4.closed:active, #sectionnav h4.nomenu a:hover, #sectionnav h4.nomenu a:active {
background-color: transparent;
color: #5d5040;
}
#sectionnav ul ul {
background-color: transparent;
list-style: none;
padding: 0;
margin: 0 0 0 5px;
}
#sectionnav ul ul li, #sectionnav ul.nomenus ul li {
font-size: 10px;
padding: 1px 8px;
text-indent: -8px;
text-transform: none;
background-image: none;
font-weight: normal;
border: 0;
color: #908d80;
letter-spacing: 0;
}
#sectionnav ul.nomenus ul {
padding: 5px 0;
}
#sectionnav ul li a, #sectionnav ul li a:visited, #sectionnav ul ul li a, #sectionnav ul ul li a:visited {
text-decoration: none;
color: #908d80;
}
#sectionnav ul li a:hover, #sectionnav ul li a:active, #sectionnav ul ul li a:hover, #sectionnav ul ul li a:active {
background-color: transparent;
color: #5d5040;
font-weight: normal;
}
#sectionnav li.thispage {
color: #c6c1b0;
}
#sectionnav ul ul ul {
padding: 0;
margin: 0 0 0 5px;
}
#sectionnav ul.nomenus {
list-style: none;
list-style-image: none;
background-color: transparent;
padding: 5px 0;
}
#sectionnav ul.nomenus li {
font-family: Arial, Helvetica, sans-serif;
font-size: 11px;
font-weight: normal;
letter-spacing: 1px;
margin: 0;
color: #908d80;
text-decoration: none;
background-color: transparent;
padding: 8px 10px 8px 30px;
border-bottom: 1px solid #ddd8bf;
}
/* Left Sidebar */
#leftsidebar.on {
position: absolute;
top: 0;
left: 0;
margin: 150px 0 0 0;
padding: 0;
background: transparent;
border-right: 1px solid #ddd8bf;
width: 129px;
}
#leftsidebar.off {
display: none;
}
#leftsidebar.off h4 { /* Some versions of IE/Win display the left sidebar menu at the bottom of the page when display of the div is set to none. This tells it to hide the menu also. duh! */
display: none;
}
/* Hide Sitelinks */
#hidesitelinks {
position: absolute;
left: 0;
top: 130px;
width: 25px;
height: 25px;
margin: 0;
padding: 0;
background: transparent;
display: block;
background-position: 4px 4px;
background-repeat: no-repeat;
background-image: url(/tree/img/triclosedO.gif); /*If I don't specify this here, IE Win will ignore the background image for the default state */
cursor: pointer;
}
#hidesitelinks.hide {
background-image: url(/tree/img/triopenO.gif);
}
#hidesitelinks.show {
background-image: url(/tree/img/triclosedO.gif);
}
/* Footer */
#footer {
padding: 15px 0 0 0;
margin: 0 160px 0 30px;
width: auto;
}
#footer.sb {
margin: 0 160px 0 130px;
}
#footer.nosb {
margin: 0 160px 0 30px;
}
#quicklinks {
padding: 2px 0 2px 0;
text-align: center;
background: transparent;
width: 500px;
margin-left: auto;
margin-right: auto;
}
#quicklinks ul {
list-style: none;
background-color: #fff;
margin: 0;
padding: 0;
border: 0;
}
#quicklinks li {
display: inline;
border-right: 1px solid #e8e3cf;
padding: 4px 4px;
}
#quicklinks li.lastquick {
border: 0;
}
#quicklinks a {
cursor: pointer;
font-family: Arial, Helvetica, sans-serif;
font-size: 9px;
letter-spacing: 3px;
text-transform: lowercase;
text-align: center;
}
#quicklinks a:link, #quicklinks a:visited, .policy a:link, .policy a:visited {
font-weight: normal;
text-decoration : none;
color: #908d80;
}
#quicklinks a:hover, #quicklinks a:active, .policy a:hover, .policy a:active {
font-weight: normal;
text-decoration: none;
color: #5d5040;
}
.copyright {
font-size: 9px;
text-align: center;
color: #666;
padding: 15px 0 15px 0;
}
.policy {
font-size: 9px;
text-align: center;
font-weight: normal;
letter-spacing: 2px;
display: block;
margin-left: auto;
margin-right: auto;
padding: 10px 0 0 0;
}
#toplink {
position: fixed;
bottom: 0;
right: 0;
background: #e8e3cf;
color: #908d80;
text-decoration: none;
font-size: 10px;
font-weight: bold;
padding: 2px 5px;
margin: 2px;
border: 1px solid #ddd8bf;
}
#toplink:hover, #toplink:active {
color: #5d5040;
border: 1px solid #5d5040;
}
/* Accessory Page Styles: Move! */
.cephGenus {
font-size: 12px;
font-style: italic;
color: #330099;
font-weight: bold;
}
.cephSpecies {
font-size: 12px;
font-style: italic;
color: #cc0000;
font-weight: bold;
}
.cephBoldItalic {
font-size: 12px;
font-style: italic;
color: #000;
font-weight: bold;
}
.cephItalic {
font-size: 12px;
font-style: italic;
color: #000;
}
/* Lisa's Styles */
ul.browntrhs
{list-style-image: none;
list-style-type: none;
margin: 10px;
padding: 1px 1px 1px 30px;
}
ul.browntrhs ul li, ul.browntrhs
{
color: #5d5040;
font-size: 11px;
padding-bottom: 4px;
}
ul.browntrhs li
{padding-bottom: 7px;
list-style-image: none;
list-style-type: none;
}
a#bldrloginlink
{
margin: 0 -45px 5px 0;
background-color: #e8e3cf;
border: 1px solid #5d5040;
border-top: none;
border-right: none;
padding: 3px 7px;
text-decoration: none;
float: right;
}
a#return
{
float: left;
margin: 0 10px 10px -45px;
background-color: #e8e3cf;
font-size: 13px;
padding: 10px;
border: 1px solid #5d5040;
border-top: none;
border-left: none;
text-align: center;
width: 150px;
font-weight: bold;
}
a:hover#bldrloginlink, a:hover#return, a:visited#return
{
background-color: #e8e3cf;
}
a:visited#bldrloginlink, a:visited.return, a:hover#return, a:visited#return
{
background-color: #e8e3cf;
color: #000099;
text-decoration: none;
}
a:visited.return, a:visited.return, a:hover#return, a:visited#return
{
text-decoration: underline;
}
a.teacherresource, a.teacherresource:link, a.teacherresource:visited, .teacherresource {
color: #993333;
text-decoration: none;
}
a.games, a.games:link, a.games:visited, .games {
color: #009933;
text-decoration: none;
}
a.investigation, a.investigation:link, a.investigation:visited, .investigation {
color: #3333FF;
text-decoration: none;
}
a.artculture, a.artculture:link, a.artculture:visited, .artculture {
color: #6B47B3;
text-decoration: none;
}
a.stories, a.stories:link, a.stories:visited, .stories {
color: #FB8751;
text-decoration: none;
}
a.bio, a.bio:link, a.bio:visited, .bio {
color: #666666;
text-decoration: none;
}
#trhshmpgtoclist h3.teacherresource, #trhshmpgtoclist h3.games, #trhshmpgtoclist h3.investigation, #trhshmpgtoclist h3.artculture, #trhshmpgtoclist h3.stories, #trhshmpgtoclist h3.bio {
padding: 10px 0 0 5px;
border-bottom: 1px dotted #ccc;
}
#trhshmpgtoclist
{padding: 0 10px 10px 10px;
margin-top: 0;
}
p.trhsmainlist, .trhsmainlist
{padding: 30px 0 20px 5px;}
p.trhsmainvisit, trhsmainvisit
{padding: 10px 0 10px 30px;
}
a.teacherresource, a.games, a.investigation, a.artculture, a.stories, a.bio {
text-decoration: none;
font-weight: bold;
}
a.multimedia, .multimedia {
color: #333366;
}
a.relatedresources, .relatedresources {
color: #806A60;
}
.learningbrown {
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{ text-align:center;
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}
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{
margin: 0;
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width: 65%;
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}
/* Treehouse manager and login*/
table.login
{float: right;
background-color: #F1F1F5;
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width: 190px;}
ul.boxtoc
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a.boxtoc
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}
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}
#trhsmanagercontainer ul.boxtoc li a:visited
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}
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width: auto;
height: auto;
}
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padding: 0 25px;
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}
#trhsmanagercontainer h4.highlight
{background-color: #F9F5D7;
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}
ul.greydot
{
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list-style-type: disc;
font-size: 11px;
color: #444466;
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ul.greydot li a
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#trhsmanagercontainer h3, h3.sectionheaderblu, h3.sectionheaderbluc
{
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color: #000099;
}
#trhsmanagercontainer h3.center, h3.sectionheaderbluc
{text-align: center;
color: #000099;
border-bottom: 1px solid #E2E2EA;
}
#trhsmanagercontainer h3.delete
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color: #ff0000;
}
#trhsmanagercontainer h1
{
color: #000099;
padding: 0;
margin: 15px 0 5px 0;
text-align: center;
}
ul.choosemedia li
{padding: 2px 20px;
list-style-type: none;
list-style-image: none;
border-bottom: 1px dotted #ccc;
width: 150px;
}
ul.choosemedia
{margin: 10px 0
}
ul.spaced {
padding: 0 0 0 40px;
line-height: 1.7;
list-style-type: circle;
margin-bottom: 0;
}
ul.spaced2 li {
padding: 0 0 10px 40px;
list-style-type: circle;
margin-bottom: 0;
}
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{list-style-image: none;
list-style-type: none;
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}
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color: #3333FF !important;
}
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color: #ff6600 !important;
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color: #009933 !important;
}
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color: #6B47B3 !important;
}
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color: #666 !important;
}
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color: #993333 !important;
}
/* end Treehouse manager End Lisa's styles */
/* Styles for Contributors Pages */
#TutorialLinks {
position: absolute;
top: 52px;
font-family: Arial, Helvetica, sans-serif;
color: #5d5040;
background: #fff;
padding: 10px 0;
margin-left: -20px;
}
#TutorialLinks a, #TutorialLinks span.here {
text-decoration: none;
padding: 6px;
color: #5d5040;
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}
ul.confirmreg {
list-style-type: none;
list-style-image: none;
}
ul.confirmreg li {
padding: 5px;
border: 1px solid #eee;
margin: 4px;
}
/* Danny's Styles */
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color: red ! important;
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td.thumbnailColumnValue, td.FilenameColumnValue, td.IDColumnValue {
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font-size: 10px;
width: 120px; /* use this once the links have been moved below the thumbnail */
width: 80px;
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text-align: center;
padding: 2px 0;
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font-size: 12px;
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width: 145px;
}
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position:absolute;
visibility:hidden;
left:0;
top:0;
z-index:10000;
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line-height:1.2;
font-family: Arial, Helvetica, sans-serif;
font-size: 11px;
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a.GLOSSENTRY {
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} a.GLOSSENTRYNODEC {
background-color: #ffff9c;
color: black;
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/* Styles for Shared Content */
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float: right;
margin: 0 0 0 25px;
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div.sharedpage {
float: right;
margin: 30px 0;
}
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text-align: right;
}
.xsection {
border-top: 1px dotted #5d5040;
padding: 5px 0;
margin: 15px 0;
}
.xsection h3, .xsection h5 {
border: 0 !important;
margin: 0 0 15px 0;
line-height: 1.2;
}
.secheader {
padding: 0 0 10px 0;
}
.secheader a {
font-size: 11px;
font-weight: bold;
color: #908d80;
padding: 5px 0;
letter-spacing: 2px;
text-decoration: none;
}
.seceditors {
font-size: 9px;
padding-top: 2px;
display: block;
color: #908d80;
}
div.secrefs {
padding: 0 25px;
}
.secfooter {
padding: 2px 5px;
color: #908d80;
font-size: 9px;
margin: 15px 0;
background: #f6f6f6;
}
.secdate {
float: right;
}
.seccopy img {
vertical-align: middle;
margin-left: 0 5px;
}
.xcollections {
border: 1px solid #ddd;
background: #f6f6f6;
padding: 0 10px;
width: 500px;
margin: 2px 0;
}
.xcollections img {
float: left;
border: 1px solid #ddd;
margin-right: 15px;
}
.imgdata .sharelogo {
border: 0;
vertical-align: middle;
}
/* CSS Document*/
/* call style: red */
.red {
background-color: transparent;
color: #cc0000;
}
/* call style: green */
.green {
background-color: transparent;
color: #28c128;
}
/* call style: purple */
.purple
{color: #8060BC;
background-color: transparent;
}
/* call style: grey */
.grey
{
background-color: transparent;
color: #999999;
}
/* call style: brown */
.brown {
background-color: transparent;
color: #5d5040;
}
/*call style orange */
.orange
{color: #F3B163;
background-color: transparent;
}
/* call style: lightblue */
.lightblue
{background-color: transparent;
/*color: #2C549D;*/
color: #5E8DE3;
}
/* call style: darkblue */
.darkblue
{background-color: transparent;
/*color: #5E8DE3;*/
color: #2C549D;
}
/*Chris these could be some styles for text size this would be better if we could have buttons to increase and descrease text size....what do you think? Don't put these in but let's think on that*/
/* call style: largetext */
.large
{font-size: 12px;
letter-spacing: 1px;
}
/* call style: xlargetext */
.xlargetext, p.xlargetext
{font-size: 13px;}
/* call style: smalltext */
.small {
font-size: 10px;
}
blockquote
{padding-left: 40px;
}
div.visualaid
{border: 1px dotted #66c;
}
p.visualaid
{border: 1px dotted #666;
}
span.visualaid
{border: 1px dotted #6c6;
}
a.visualaid
{border: 1px dotted #c66;
}
td.visualaid, th.visualaid
{border: 1px dotted #936;
}
table.visualaid
{border: 1px dotted #693;
}
a.anchor, a.anchor:hover
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cursor: default;
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p a.anchor
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}
li a.anchor
{color: #000;
}
img.anchorvisual
{border-width: 0px ! important;
} |
jobboardscraper/templates/home.html | richardcornish/timgorin | {% extends "base.html" %}
{% load static %}
{% block content_container %}
<div class="container">
<div class="row">
<div class="col-lg-12">
<h1>{{ request.site.name }}</h1>
</div>
</div>
<div class="row">
<div class="col-sm-6">
<p><strong>Job Board Scraper</strong> collects, cleans, organizes, and indexes English teaching positions from an <a href="http://www.eslcafe.com/jobs/korea/">existing online job board</a> once a day.</p>
<p>The code scrapes the job board with <a href="http://scrapy.org/">Scrapy</a> and integrates it into a <a href="https://www.djangoproject.com/">Django</a> website with an <a href="https://www.elastic.co/">Elasticsearch</a> search index and a <a href="https://www.postgresql.org/">PostgreSQL</a> database. The website is hosted on <a href="https://www.heroku.com/">Heroku</a>.</p>
<ul>
<li><a href="https://github.com/richardcornish/jobboardscraper">Code repository</a></li>
<li><a href="https://jobboardscraper.herokuapp.com/">Deployed app</a></li>
</ul>
<h2>How it works</h2>
<p>The <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/scraper/spiders/eslcafe.py">spider</a> is scheduled once a day to visit the <a href="http://www.eslcafe.com/jobs/korea/">job board website</a> and to <a href="http://doc.scrapy.org/en/1.1/topics/spiders.html">follow each job</a> via <a href="http://doc.scrapy.org/en/1.1/topics/selectors.html">XPath selection</a>.</p>
<p>The <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/scraper/items.py">data is mapped</a> to a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/jobs/models.py">Django model</a> with the <a href="https://github.com/scrapy-plugins/scrapy-djangoitem"><code>scrapy-djangoitem</code></a> extension. Any additional fields are manually attached to the <a href="http://doc.scrapy.org/en/1.1/topics/items.html">item</a>.</p>
<p>The data is <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/scraper/pipelines.py">cleaned, converted, and saved</a> in a <a href="http://doc.scrapy.org/en/1.1/topics/item-pipeline.html">pipeline</a>. The code checks and prevents job duplicates from being saved. Additionally, it separates the job from the organization and stores the data in different models, normalizing the original data, which allows the ability to browse <a href="{% url 'job_list' %}">jobs</a> and <a href="{% url 'organization_list' %}">organizations</a> separately, a feature not on the original website.</p>
<p>Search is handled by <a href="http://haystacksearch.org/">Haystack</a> and <a href="https://elements.heroku.com/addons/searchbox">SearchBox</a>. To use Haystack, the code includes a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/search/forms.py">search form</a>, a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/search/views.py">search view</a>, a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/templates/search/search.html">search template</a>, a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/jobs/search_indexes.py">search index</a>, and an <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/templates/search/indexes/jobs/job_text.txt">index template</a>, all of which is <a href="http://django-haystack.readthedocs.io/en/latest/tutorial.html">outlined in the documentation</a>.</p>
<p>Future scraping and indexing are handled by a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/jobboardscraper/celery.py">Celery app</a> and its <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/jobs/tasks.py">tasks</a> with a <a href="https://github.com/richardcornish/jobboardscraper/blob/master/jobboardscraper/jobboardscraper/settings.py#L214">Redis broker</a>, which are both outlined in the <a href="http://celery.readthedocs.io/en/latest/django/first-steps-with-django.html">Celery</a> and <a href="https://devcenter.heroku.com/articles/celery-heroku">Heroku</a> documentation. The <a href="http://celery.readthedocs.io/en/latest/userguide/periodic-tasks.html#starting-the-scheduler">Celery beat service</a> is embedded in the Celery worker to stay within usage of one dyno.</p>
<p>Installation and deployment instructions are in the <a href="https://github.com/richardcornish/jobboardscraper/blob/master/README.md"><code>README</code></a> of the code repository.</p>
<h2>Resources</h2>
<p>Some resources that helped me figure things out:</p>
<ul>
<li><a href="https://github.com/sammyfung/hk0weather">hk0weather</a>, a Hong Kong weather data project by <a href="http://sammy.hk/">Sammy Fung</a></li>
<li><a href="http://www.slideshare.net/sammyfung/python-web-scraping-and-content-management-scrapy-and-django">Python, Web scraping and content management: Scrapy and Django</a></li>
<li><a href="http://www.slideshare.net/sammyfung/hk0weather-barcamp">Open Data, Open Government</a></li>
<li><a href="http://newcoder.io/scrape/">Web scraper</a> tutorial by <a href="http://www.roguelynn.com/">Lynn Root</a></li>
<li><a href="https://devcenter.heroku.com/articles/django-app-configuration">Configuring Django Apps for Heroku</a> by Heroku</li>
</ul>
</div>
<div class="col-sm-6 col-md-4 col-md-offset-1">
<a href="http://www.eslcafe.com/jobs/korea/"><img src="{% static 'img/screenshot.png' %}" alt="Screenshot" class="img-responsive img-thumbnail"></a>
</div>
</div>
</div>
{% endblock %} |
docs/structcutlass_1_1platform_1_1is__integral_3_01volatile_01T_01_4.html | NVIDIA/cutlass | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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Collaboration diagram for cutlass::platform::is_integral< volatile T >:</div>
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<tr class="inherit_header pub_types_structcutlass_1_1platform_1_1integral__constant"><td colspan="2" onclick="javascript:toggleInherit('pub_types_structcutlass_1_1platform_1_1integral__constant')"><img src="closed.png" alt="-"/> Public Types inherited from <a class="el" href="structcutlass_1_1platform_1_1integral__constant.html">cutlass::platform::integral_constant< value_t, V ></a></td></tr>
<tr class="memitem:ab2ed0b3506818139f1f96639742e79fd inherit pub_types_structcutlass_1_1platform_1_1integral__constant"><td class="memItemLeft" align="right" valign="top">typedef value_t </td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#ab2ed0b3506818139f1f96639742e79fd">value_type</a></td></tr>
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<tr class="memitem:af58810ccead8f16ed88cd6a4afdc6e52 inherit pub_types_structcutlass_1_1platform_1_1integral__constant"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="structcutlass_1_1platform_1_1integral__constant.html">integral_constant</a>< value_t, V > </td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#af58810ccead8f16ed88cd6a4afdc6e52">type</a></td></tr>
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<tr class="memitem:adfcb0c650152fe171f00c7b817c69ae1 inherit pub_methods_structcutlass_1_1platform_1_1integral__constant"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#adfcb0c650152fe171f00c7b817c69ae1">operator value_type</a> () const </td></tr>
<tr class="separator:adfcb0c650152fe171f00c7b817c69ae1 inherit pub_methods_structcutlass_1_1platform_1_1integral__constant"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a56a164b98a93b1430c26cdfde6f3720d inherit pub_methods_structcutlass_1_1platform_1_1integral__constant"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> const <a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#ab2ed0b3506818139f1f96639742e79fd">value_type</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#a56a164b98a93b1430c26cdfde6f3720d">operator()</a> () const </td></tr>
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<tr class="inherit_header pub_static_attribs_structcutlass_1_1platform_1_1integral__constant"><td colspan="2" onclick="javascript:toggleInherit('pub_static_attribs_structcutlass_1_1platform_1_1integral__constant')"><img src="closed.png" alt="-"/> Static Public Attributes inherited from <a class="el" href="structcutlass_1_1platform_1_1integral__constant.html">cutlass::platform::integral_constant< value_t, V ></a></td></tr>
<tr class="memitem:a9bbaca83ae76941edb9b75b2741d3ad9 inherit pub_static_attribs_structcutlass_1_1platform_1_1integral__constant"><td class="memItemLeft" align="right" valign="top">static const value_t </td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1platform_1_1integral__constant.html#a9bbaca83ae76941edb9b75b2741d3ad9">value</a> = V</td></tr>
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src/Java/BouncyCastle/BouncyCastle-1.54/lcrypto-jdk15on-154/javadoc/org/bouncycastle/crypto/test/NonMemoableDigestTest.html | GaloisInc/hacrypto | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<h2 title="Class NonMemoableDigestTest" class="title">Class NonMemoableDigestTest</h2>
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<pre>public class <span class="strong">NonMemoableDigestTest</span>
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implements <a href="../../../../org/bouncycastle/util/test/Test.html" title="interface in org.bouncycastle.util.test">Test</a></pre>
<div class="block">SHA1 HMac Test, test vectors from RFC 2202</div>
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<td class="colOne"><code><strong><a href="../../../../org/bouncycastle/crypto/test/NonMemoableDigestTest.html#NonMemoableDigestTest()">NonMemoableDigestTest</a></strong>()</code> </td>
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v0.10.1/generated/statsmodels.stats.power.TTestPower.html | statsmodels/statsmodels.github.io |
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<h1>statsmodels.stats.power.TTestPower<a class="headerlink" href="#statsmodels-stats-power-ttestpower" title="Permalink to this headline">¶</a></h1>
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<dt id="statsmodels.stats.power.TTestPower">
<em class="property">class </em><code class="sig-prename descclassname">statsmodels.stats.power.</code><code class="sig-name descname">TTestPower</code><span class="sig-paren">(</span><em class="sig-param">**kwds</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/statsmodels/stats/power.html#TTestPower"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#statsmodels.stats.power.TTestPower" title="Permalink to this definition">¶</a></dt>
<dd><p>Statistical Power calculations for one sample or paired sample t-test</p>
<p class="rubric">Methods</p>
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<tr class="row-odd"><td><p><a class="reference internal" href="statsmodels.stats.power.TTestPower.plot_power.html#statsmodels.stats.power.TTestPower.plot_power" title="statsmodels.stats.power.TTestPower.plot_power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_power</span></code></a>([dep_var, nobs, effect_size, …])</p></td>
<td><p>plot power with number of observations or effect size on x-axis</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="statsmodels.stats.power.TTestPower.power.html#statsmodels.stats.power.TTestPower.power" title="statsmodels.stats.power.TTestPower.power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">power</span></code></a>(effect_size, nobs, alpha[, df, …])</p></td>
<td><p>Calculate the power of a t-test for one sample or paired samples.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="statsmodels.stats.power.TTestPower.solve_power.html#statsmodels.stats.power.TTestPower.solve_power" title="statsmodels.stats.power.TTestPower.solve_power"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solve_power</span></code></a>([effect_size, nobs, alpha, …])</p></td>
<td><p>solve for any one parameter of the power of a one sample t-test</p></td>
</tr>
</tbody>
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apollo.gui</FONT>
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Class TierManager</H2>
<PRE>
java.lang.Object
<IMG SRC="../../resources/inherit.gif" ALT="extended by "><B>apollo.gui.TierManager</B>
</PRE>
<DL>
<DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../apollo/gui/ControlledObjectI.html" title="interface in apollo.gui">ControlledObjectI</A>, <A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A>, java.io.Serializable</DD>
</DL>
<DL>
<DT><B>Direct Known Subclasses:</B> <DD><A HREF="../../apollo/gui/genomemap/DrawableTierManager.html" title="class in apollo.gui.genomemap">DrawableTierManager</A>, <A HREF="../../apollo/gui/genomemap/SiteTierManager.html" title="class in apollo.gui.genomemap">SiteTierManager</A></DD>
</DL>
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<DL>
<DT><PRE>public abstract class <B>TierManager</B><DT>extends java.lang.Object<DT>implements <A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></DL>
</PRE>
<P>
The base abstract TierManager class to organise a set of data into several
tiers.
Uses longs for tier numbers, this could probably be changed to ints(?)
<P>
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../serialized-form.html#apollo.gui.TierManager">Serialized Form</A></DL>
<HR>
<P>
<!-- =========== FIELD SUMMARY =========== -->
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<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#aggregateSizeChange">aggregateSizeChange</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#charHeight">charHeight</A></B></CODE>
<BR>
</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected <A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#controller">controller</A></B></CODE>
<BR>
</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected static org.apache.log4j.Logger</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#logger">logger</A></B></CODE>
<BR>
</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#offsetPixelHeight">offsetPixelHeight</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected java.util.Vector</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#tierManagerListeners">tierManagerListeners</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected java.util.Vector</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#tiers">tiers</A></B></CODE>
<BR>
Vector of Tiers (FeatureTiers for FeatureTierManager)
This is not set in this class, a subclass has to set this and there
is no set method(perhaps there should be) only way to set is to use
the variable itself.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected <A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#view">view</A></B></CODE>
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</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#viewHeight">viewHeight</A></B></CODE>
<BR>
</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>protected int[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#visibleLimits">visibleLimits</A></B></CODE>
<BR>
</TD>
</TR>
</TABLE>
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<TH ALIGN="left"><B>Fields inherited from interface apollo.gui.<A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><A HREF="../../apollo/gui/TierManagerI.html#Y_PIXELS_PER_FEATURE">Y_PIXELS_PER_FEATURE</A></CODE></TD>
</TR>
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<!-- ======== CONSTRUCTOR SUMMARY ======== -->
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</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#TierManager()">TierManager</A></B>()</CODE>
<BR>
</TD>
</TR>
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<!-- ========== METHOD SUMMARY =========== -->
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<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#addTierManagerListener(apollo.gui.event.TierManagerListener)">addTierManagerListener</A></B>(<A HREF="../../apollo/gui/event/TierManagerListener.html" title="interface in apollo.gui.event">TierManagerListener</A> l)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#decrementTierHeight()">decrementTierHeight</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#doLayoutTiers()">doLayoutTiers</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>abstract void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#fillTiers()">fillTiers</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#fireTierManagerEvent(int)">fireTierManagerEvent</A></B>(int type)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#fireTierManagerEvent(apollo.gui.event.TierManagerEvent)">fireTierManagerEvent</A></B>(<A HREF="../../apollo/gui/event/TierManagerEvent.html" title="class in apollo.gui.event">TierManagerEvent</A> evt)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getAggregateSizeChange()">getAggregateSizeChange</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getController()">getController</A></B>()</CODE>
<BR>
Gets the Controller for the object</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> java.lang.Object</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getControllerWindow()">getControllerWindow</A></B>()</CODE>
<BR>
Even though TierManagers are not gui they are gui-associated with its view.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getLowestVisible()">getLowestVisible</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getMaximumVisibleTransformCoord(int)">getMaximumVisibleTransformCoord</A></B>(int min)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> long</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getMaxTierUserHeight()">getMaxTierUserHeight</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> long</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getMaxUserCoord()">getMaxUserCoord</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getMaxVisibleTierNumber()">getMaxVisibleTierNumber</A></B>()</CODE>
<BR>
Returns the maximum visible tier number -
The highest tier number can be greater than the number of tiers.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getMinimumVisibleTransformCoord()">getMinimumVisibleTransformCoord</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getNumTiers()">getNumTiers</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getNumVisible()">getNumVisible</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="../../apollo/gui/Tier.html" title="class in apollo.gui">Tier</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getTier(int)">getTier</A></B>(int i)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getTierLabel(int)">getTierLabel</A></B>(int tierNum)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> java.util.Vector</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getTiers()">getTiers</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getTotalHeight()">getTotalHeight</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getView()">getView</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getViewHeight()">getViewHeight</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> long</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getVisibleUserCoord()">getVisibleUserCoord</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int[]</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#getYRange()">getYRange</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> boolean</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#ignoreScoreThresholds()">ignoreScoreThresholds</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#incrementTierHeight()">incrementTierHeight</A></B>()</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> boolean</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#needsAutoRemoval()">needsAutoRemoval</A></B>()</CODE>
<BR>
Remove as listener from controller when window closes.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setAggregateSizeChange(int)">setAggregateSizeChange</A></B>(int change)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setCharHeight(int)">setCharHeight</A></B>(int height)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setController(apollo.gui.Controller)">setController</A></B>(<A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A> c)</CODE>
<BR>
Sets the Controller for the object</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setIgnoreScoreThresholds(boolean)">setIgnoreScoreThresholds</A></B>(boolean ignore)</CODE>
<BR>
If ignore is true, will not consider score thresholds in populating the tier.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setLowestVisible(int)">setLowestVisible</A></B>(int lowest)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setOffsetHeight(int)">setOffsetHeight</A></B>(int height)</CODE>
<BR>
Offset in pixels before first tier</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>abstract void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setTierData(java.lang.Object)">setTierData</A></B>(java.lang.Object data)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setView(apollo.gui.genomemap.ViewI)">setView</A></B>(<A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A> v)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#setViewHeight(int)">setViewHeight</A></B>(int height)</CODE>
<BR>
Height in pixels of area to display tiers in</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> long</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#toTier(long)">toTier</A></B>(long userCoord)</CODE>
<BR>
Convert from user coords to tier number</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#toUser(int)">toUser</A></B>(int tierNum)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../apollo/gui/TierManager.html#updateUserCoordBoundaries()">updateUserCoordBoundaries</A></B>()</CODE>
<BR>
</TD>
</TR>
</TABLE>
<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
</TR>
</TABLE>
<P>
<!-- ============ FIELD DETAIL =========== -->
<A NAME="field_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Field Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="logger"><!-- --></A><H3>
logger</H3>
<PRE>
protected static final org.apache.log4j.Logger <B>logger</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="tiers"><!-- --></A><H3>
tiers</H3>
<PRE>
protected java.util.Vector <B>tiers</B></PRE>
<DL>
<DD>Vector of Tiers (FeatureTiers for FeatureTierManager)
This is not set in this class, a subclass has to set this and there
is no set method(perhaps there should be) only way to set is to use
the variable itself.
<P>
<DL>
</DL>
</DL>
<HR>
<A NAME="visibleLimits"><!-- --></A><H3>
visibleLimits</H3>
<PRE>
protected int[] <B>visibleLimits</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="viewHeight"><!-- --></A><H3>
viewHeight</H3>
<PRE>
protected int <B>viewHeight</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="offsetPixelHeight"><!-- --></A><H3>
offsetPixelHeight</H3>
<PRE>
protected int <B>offsetPixelHeight</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="aggregateSizeChange"><!-- --></A><H3>
aggregateSizeChange</H3>
<PRE>
protected int <B>aggregateSizeChange</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="charHeight"><!-- --></A><H3>
charHeight</H3>
<PRE>
protected int <B>charHeight</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="view"><!-- --></A><H3>
view</H3>
<PRE>
protected <A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A> <B>view</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="controller"><!-- --></A><H3>
controller</H3>
<PRE>
protected <A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A> <B>controller</B></PRE>
<DL>
<DL>
</DL>
</DL>
<HR>
<A NAME="tierManagerListeners"><!-- --></A><H3>
tierManagerListeners</H3>
<PRE>
protected java.util.Vector <B>tierManagerListeners</B></PRE>
<DL>
<DL>
</DL>
</DL>
<!-- ========= CONSTRUCTOR DETAIL ======== -->
<A NAME="constructor_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Constructor Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="TierManager()"><!-- --></A><H3>
TierManager</H3>
<PRE>
public <B>TierManager</B>()</PRE>
<DL>
</DL>
<!-- ============ METHOD DETAIL ========== -->
<A NAME="method_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Method Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="doLayoutTiers()"><!-- --></A><H3>
doLayoutTiers</H3>
<PRE>
public void <B>doLayoutTiers</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#doLayoutTiers()">doLayoutTiers</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setCharHeight(int)"><!-- --></A><H3>
setCharHeight</H3>
<PRE>
public void <B>setCharHeight</B>(int height)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setCharHeight(int)">setCharHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="updateUserCoordBoundaries()"><!-- --></A><H3>
updateUserCoordBoundaries</H3>
<PRE>
public void <B>updateUserCoordBoundaries</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="fillTiers()"><!-- --></A><H3>
fillTiers</H3>
<PRE>
public abstract void <B>fillTiers</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setTierData(java.lang.Object)"><!-- --></A><H3>
setTierData</H3>
<PRE>
public abstract void <B>setTierData</B>(java.lang.Object data)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setTierData(java.lang.Object)">setTierData</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getTiers()"><!-- --></A><H3>
getTiers</H3>
<PRE>
public java.util.Vector <B>getTiers</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getTiers()">getTiers</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getTier(int)"><!-- --></A><H3>
getTier</H3>
<PRE>
public <A HREF="../../apollo/gui/Tier.html" title="class in apollo.gui">Tier</A> <B>getTier</B>(int i)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getTier(int)">getTier</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getNumTiers()"><!-- --></A><H3>
getNumTiers</H3>
<PRE>
public int <B>getNumTiers</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getNumTiers()">getNumTiers</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getLowestVisible()"><!-- --></A><H3>
getLowestVisible</H3>
<PRE>
public int <B>getLowestVisible</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getLowestVisible()">getLowestVisible</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setLowestVisible(int)"><!-- --></A><H3>
setLowestVisible</H3>
<PRE>
public void <B>setLowestVisible</B>(int lowest)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setLowestVisible(int)">setLowestVisible</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getNumVisible()"><!-- --></A><H3>
getNumVisible</H3>
<PRE>
public int <B>getNumVisible</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getNumVisible()">getNumVisible</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getMaxVisibleTierNumber()"><!-- --></A><H3>
getMaxVisibleTierNumber</H3>
<PRE>
public int <B>getMaxVisibleTierNumber</B>()</PRE>
<DL>
<DD>Returns the maximum visible tier number -
The highest tier number can be greater than the number of tiers.
This is handy for tracking visible tiers (eg masking optimization)
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getMaxVisibleTierNumber()">getMaxVisibleTierNumber</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getMaximumVisibleTransformCoord(int)"><!-- --></A><H3>
getMaximumVisibleTransformCoord</H3>
<PRE>
public int <B>getMaximumVisibleTransformCoord</B>(int min)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getMinimumVisibleTransformCoord()"><!-- --></A><H3>
getMinimumVisibleTransformCoord</H3>
<PRE>
public int <B>getMinimumVisibleTransformCoord</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getMinimumVisibleTransformCoord()">getMinimumVisibleTransformCoord</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="incrementTierHeight()"><!-- --></A><H3>
incrementTierHeight</H3>
<PRE>
public void <B>incrementTierHeight</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#incrementTierHeight()">incrementTierHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="decrementTierHeight()"><!-- --></A><H3>
decrementTierHeight</H3>
<PRE>
public void <B>decrementTierHeight</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#decrementTierHeight()">decrementTierHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setAggregateSizeChange(int)"><!-- --></A><H3>
setAggregateSizeChange</H3>
<PRE>
public void <B>setAggregateSizeChange</B>(int change)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setAggregateSizeChange(int)">setAggregateSizeChange</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getAggregateSizeChange()"><!-- --></A><H3>
getAggregateSizeChange</H3>
<PRE>
public int <B>getAggregateSizeChange</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getAggregateSizeChange()">getAggregateSizeChange</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setOffsetHeight(int)"><!-- --></A><H3>
setOffsetHeight</H3>
<PRE>
public void <B>setOffsetHeight</B>(int height)</PRE>
<DL>
<DD>Offset in pixels before first tier
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setViewHeight(int)"><!-- --></A><H3>
setViewHeight</H3>
<PRE>
public void <B>setViewHeight</B>(int height)</PRE>
<DL>
<DD>Height in pixels of area to display tiers in
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setViewHeight(int)">setViewHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getViewHeight()"><!-- --></A><H3>
getViewHeight</H3>
<PRE>
public int <B>getViewHeight</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="toTier(long)"><!-- --></A><H3>
toTier</H3>
<PRE>
public long <B>toTier</B>(long userCoord)</PRE>
<DL>
<DD>Convert from user coords to tier number
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#toTier(long)">toTier</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getTotalHeight()"><!-- --></A><H3>
getTotalHeight</H3>
<PRE>
public int <B>getTotalHeight</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getTotalHeight()">getTotalHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getMaxTierUserHeight()"><!-- --></A><H3>
getMaxTierUserHeight</H3>
<PRE>
public long <B>getMaxTierUserHeight</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getMaxTierUserHeight()">getMaxTierUserHeight</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getMaxUserCoord()"><!-- --></A><H3>
getMaxUserCoord</H3>
<PRE>
public long <B>getMaxUserCoord</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getMaxUserCoord()">getMaxUserCoord</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getVisibleUserCoord()"><!-- --></A><H3>
getVisibleUserCoord</H3>
<PRE>
public long <B>getVisibleUserCoord</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getVisibleUserCoord()">getVisibleUserCoord</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="toUser(int)"><!-- --></A><H3>
toUser</H3>
<PRE>
public int <B>toUser</B>(int tierNum)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#toUser(int)">toUser</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="addTierManagerListener(apollo.gui.event.TierManagerListener)"><!-- --></A><H3>
addTierManagerListener</H3>
<PRE>
public void <B>addTierManagerListener</B>(<A HREF="../../apollo/gui/event/TierManagerListener.html" title="interface in apollo.gui.event">TierManagerListener</A> l)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="fireTierManagerEvent(apollo.gui.event.TierManagerEvent)"><!-- --></A><H3>
fireTierManagerEvent</H3>
<PRE>
public void <B>fireTierManagerEvent</B>(<A HREF="../../apollo/gui/event/TierManagerEvent.html" title="class in apollo.gui.event">TierManagerEvent</A> evt)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="fireTierManagerEvent(int)"><!-- --></A><H3>
fireTierManagerEvent</H3>
<PRE>
public void <B>fireTierManagerEvent</B>(int type)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#fireTierManagerEvent(int)">fireTierManagerEvent</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setController(apollo.gui.Controller)"><!-- --></A><H3>
setController</H3>
<PRE>
public void <B>setController</B>(<A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A> c)</PRE>
<DL>
<DD><B>Description copied from interface: <CODE><A HREF="../../apollo/gui/ControlledObjectI.html#setController(apollo.gui.Controller)">ControlledObjectI</A></CODE></B></DD>
<DD>Sets the Controller for the object
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/ControlledObjectI.html#setController(apollo.gui.Controller)">setController</A></CODE> in interface <CODE><A HREF="../../apollo/gui/ControlledObjectI.html" title="interface in apollo.gui">ControlledObjectI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getController()"><!-- --></A><H3>
getController</H3>
<PRE>
public <A HREF="../../apollo/gui/Controller.html" title="class in apollo.gui">Controller</A> <B>getController</B>()</PRE>
<DL>
<DD><B>Description copied from interface: <CODE><A HREF="../../apollo/gui/ControlledObjectI.html#getController()">ControlledObjectI</A></CODE></B></DD>
<DD>Gets the Controller for the object
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/ControlledObjectI.html#getController()">getController</A></CODE> in interface <CODE><A HREF="../../apollo/gui/ControlledObjectI.html" title="interface in apollo.gui">ControlledObjectI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getControllerWindow()"><!-- --></A><H3>
getControllerWindow</H3>
<PRE>
public java.lang.Object <B>getControllerWindow</B>()</PRE>
<DL>
<DD>Even though TierManagers are not gui they are gui-associated with its view.
Thus when the ancestor window of the view (ApolloFrame) closes, TierManager
gets removed as listener to its controller. Presently this is irrelevant because
if ApolloFrame is closing apollo exits, so removing listener doesnt matter
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/ControlledObjectI.html#getControllerWindow()">getControllerWindow</A></CODE> in interface <CODE><A HREF="../../apollo/gui/ControlledObjectI.html" title="interface in apollo.gui">ControlledObjectI</A></CODE></DL>
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needsAutoRemoval</H3>
<PRE>
public boolean <B>needsAutoRemoval</B>()</PRE>
<DL>
<DD>Remove as listener from controller when window closes.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/ControlledObjectI.html#needsAutoRemoval()">needsAutoRemoval</A></CODE> in interface <CODE><A HREF="../../apollo/gui/ControlledObjectI.html" title="interface in apollo.gui">ControlledObjectI</A></CODE></DL>
</DD>
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setView</H3>
<PRE>
public void <B>setView</B>(<A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A> v)</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setView(apollo.gui.genomemap.ViewI)">setView</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
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<A NAME="getView()"><!-- --></A><H3>
getView</H3>
<PRE>
public <A HREF="../../apollo/gui/genomemap/ViewI.html" title="interface in apollo.gui.genomemap">ViewI</A> <B>getView</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getView()">getView</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getYRange()"><!-- --></A><H3>
getYRange</H3>
<PRE>
public int[] <B>getYRange</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#getYRange()">getYRange</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="setIgnoreScoreThresholds(boolean)"><!-- --></A><H3>
setIgnoreScoreThresholds</H3>
<PRE>
public void <B>setIgnoreScoreThresholds</B>(boolean ignore)</PRE>
<DL>
<DD>If ignore is true, will not consider score thresholds in populating the tier.
This is needed for drag view where it is possible to drag a feature that has
a score under threshold, but since it has siblings(in feat set) above threshold
it gets displayed. Since only items that have somehow gotten through the
threshold (either by self score or siblings) can be displayed and thus dragged,
theres no need to do the score threshold again anyways.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../apollo/gui/TierManagerI.html#setIgnoreScoreThresholds(boolean)">setIgnoreScoreThresholds</A></CODE> in interface <CODE><A HREF="../../apollo/gui/TierManagerI.html" title="interface in apollo.gui">TierManagerI</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="ignoreScoreThresholds()"><!-- --></A><H3>
ignoreScoreThresholds</H3>
<PRE>
public boolean <B>ignoreScoreThresholds</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getTierLabel(int)"><!-- --></A><H3>
getTierLabel</H3>
<PRE>
public java.lang.String <B>getTierLabel</B>(int tierNum)</PRE>
<DL>
<DD><DL>
</DL>
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0.6.1/generated/statsmodels.genmod.families.links.Power.deriv.html | statsmodels/statsmodels.github.io |
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<h1>statsmodels.genmod.families.links.Power.deriv<a class="headerlink" href="#statsmodels-genmod-families-links-power-deriv" title="Permalink to this headline">¶</a></h1>
<dl class="method">
<dt id="statsmodels.genmod.families.links.Power.deriv">
<code class="descclassname">Power.</code><code class="descname">deriv</code><span class="sig-paren">(</span><em>p</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/statsmodels/genmod/families/links.html#Power.deriv"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#statsmodels.genmod.families.links.Power.deriv" title="Permalink to this definition">¶</a></dt>
<dd><p>Derivative of the power transform</p>
<table class="docutils field-list" frame="void" rules="none">
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<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>p</strong> : array-like</p>
<blockquote>
<div><p>Mean parameters</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>g’(p)</strong> : array</p>
<blockquote class="last">
<div><p>Derivative of power transform of <cite>p</cite></p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p>g’(<cite>p</cite>) = <cite>power</cite> * <cite>p`**(`power</cite> - 1)</p>
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doc/avrora/sim/radio/CC1000Radio.SerialConfigurationInterface.PALEOutput.html | minf/avrora | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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avrora.sim.radio</FONT>
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Class CC1000Radio.SerialConfigurationInterface.PALEOutput</H2>
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java.lang.Object
<IMG SRC="../../../resources/inherit.gif" ALT="extended by"><A HREF="../../../avrora/sim/mcu/Microcontroller.OutputPin.html" title="class in avrora.sim.mcu">avrora.sim.mcu.Microcontroller.OutputPin</A>
<IMG SRC="../../../resources/inherit.gif" ALT="extended by"><B>avrora.sim.radio.CC1000Radio.SerialConfigurationInterface.PALEOutput</B>
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<DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../avrora/sim/mcu/Microcontroller.Pin.Output.html" title="interface in avrora.sim.mcu">Microcontroller.Pin.Output</A></DD>
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<DT><B>Enclosing class:</B><DD><A HREF="../../../avrora/sim/radio/CC1000Radio.SerialConfigurationInterface.html" title="class in avrora.sim.radio">CC1000Radio.SerialConfigurationInterface</A></DD>
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<DT>protected class <B>CC1000Radio.SerialConfigurationInterface.PALEOutput</B><DT>extends <A HREF="../../../avrora/sim/mcu/Microcontroller.OutputPin.html" title="class in avrora.sim.mcu">Microcontroller.OutputPin</A></DL>
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<CODE>protected </CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../avrora/sim/radio/CC1000Radio.SerialConfigurationInterface.PALEOutput.html#CC1000Radio.SerialConfigurationInterface.PALEOutput()">CC1000Radio.SerialConfigurationInterface.PALEOutput</A></B>()</CODE>
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<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../avrora/sim/radio/CC1000Radio.SerialConfigurationInterface.PALEOutput.html#write(boolean)">write</A></B>(boolean level)</CODE>
<BR>
The <code>write()</code> method is called by the simulator when the program writes a logical
level to the pin. </TD>
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<TD><CODE><A HREF="../../../avrora/sim/mcu/Microcontroller.OutputPin.html#disableOutput()">disableOutput</A>, <A HREF="../../../avrora/sim/mcu/Microcontroller.OutputPin.html#enableOutput()">enableOutput</A></CODE></TD>
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<A NAME="CC1000Radio.SerialConfigurationInterface.PALEOutput()"><!-- --></A><H3>
CC1000Radio.SerialConfigurationInterface.PALEOutput</H3>
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protected <B>CC1000Radio.SerialConfigurationInterface.PALEOutput</B>()</PRE>
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<A NAME="write(boolean)"><!-- --></A><H3>
write</H3>
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public void <B>write</B>(boolean level)</PRE>
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<DD><B>Description copied from interface: <CODE><A HREF="../../../avrora/sim/mcu/Microcontroller.Pin.Output.html" title="interface in avrora.sim.mcu">Microcontroller.Pin.Output</A></CODE></B></DD>
<DD>The <code>write()</code> method is called by the simulator when the program writes a logical
level to the pin. The device can then take the appropriate action.
<P>
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<DT><B>Parameters:</B><DD><CODE>level</CODE> - a boolean representing the logical level of the write</DL>
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docs/Classes/SDLModuleData.html | smartdevicelink/sdl_ios | <h1>SDLModuleData Class Reference</h1>
<h3>Section Contents</h3>
<ul>
<li><a href="#section--initWithRadioControlData:">-initWithRadioControlData:</a></li>
<li><a href="#section--initWithClimateControlData:">-initWithClimateControlData:</a></li>
<li><a href="#section--initWithAudioControlData:">-initWithAudioControlData:</a></li>
<li><a href="#section--initWithLightControlData:">-initWithLightControlData:</a></li>
<li><a href="#section--initWithHMISettingsControlData:">-initWithHMISettingsControlData:</a></li>
<li><a href="#section--initWithSeatControlData:">-initWithSeatControlData:</a></li>
<li><a href="#section-moduleType">moduleType</a></li>
<li><a href="#section-moduleId">moduleId</a></li>
<li><a href="#section-radioControlData">radioControlData</a></li>
<li><a href="#section-climateControlData">climateControlData</a></li>
<li><a href="#section-seatControlData">seatControlData</a></li>
<li><a href="#section-audioControlData">audioControlData</a></li>
<li><a href="#section-lightControlData">lightControlData</a></li>
<li><a href="#section-hmiSettingsControlData">hmiSettingsControlData</a></li>
</ul>
<h3>Overview</h3>
<p>Describes a remote control module’s data</p>
<section class="section task-group-section">
<h3 id="section--initWithRadioControlData:">
-initWithRadioControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with radio control data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithRadioControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLRadioControlData.html">SDLRadioControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">radioControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">radioControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLRadioControlData.html">SDLRadioControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>radioControlData</dt>
<dd><p>The radio control data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section--initWithClimateControlData:">
-initWithClimateControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with climate control data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithClimateControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLClimateControlData.html">SDLClimateControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">climateControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">climateControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLClimateControlData.html">SDLClimateControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>climateControlData</dt>
<dd><p>The climate control data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section--initWithAudioControlData:">
-initWithAudioControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with audio control data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithAudioControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLAudioControlData.html">SDLAudioControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">audioControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">audioControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLAudioControlData.html">SDLAudioControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>audioControlData</dt>
<dd><p>The audio control data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section--initWithLightControlData:">
-initWithLightControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with light control data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithLightControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLLightControlData.html">SDLLightControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">lightControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">lightControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLLightControlData.html">SDLLightControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>lightControlData</dt>
<dd><p>The light control data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section--initWithHMISettingsControlData:">
-initWithHMISettingsControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with hmi settings data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithHMISettingsControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLHMISettingsControlData.html">SDLHMISettingsControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">hmiSettingsControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">hmiSettingsControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLHMISettingsControlData.html">SDLHMISettingsControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>hmiSettingsControlData</dt>
<dd><p>The hmi settings data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section--initWithSeatControlData:">
-initWithSeatControlData:
</h3>
<p>Constructs a newly allocated SDLModuleData object with seat control data</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">-</span> <span class="p">(</span><span class="n">nonnull</span> <span class="n">instancetype</span><span class="p">)</span><span class="nf">initWithSeatControlData</span><span class="p">:</span>
<span class="p">(</span><span class="n">nonnull</span> <span class="n"><a href="../Classes/SDLSeatControlData.html">SDLSeatControlData</a></span> <span class="o">*</span><span class="p">)</span><span class="nv">seatControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="nf">init</span><span class="p">(</span><span class="nv">seatControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLSeatControlData.html">SDLSeatControlData</a></span><span class="p">)</span></code></pre>
<h4>Parameters</h4>
<dl>
<dt>seatControlData</dt>
<dd><p>The seat control data</p></dd>
</dl>
<div>
<h4>Return Value</h4>
<p>An instance of the SDLModuleData class</p>
</div>
<h3 id="section-moduleType">
moduleType
</h3>
<p>The moduleType indicates which type of data should be changed and identifies which data object exists in this struct.</p>
<p>For example, if the moduleType is CLIMATE then a “climateControlData” should exist</p>
<p>Required</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">)</span> <span class="n"><a href="../Type%20Definitions.html#/c:SDLModuleType.h@T@SDLModuleType">SDLModuleType</a></span> <span class="n">_Nonnull</span> <span class="n">moduleType</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">moduleType</span><span class="p">:</span> <span class="kt"><a href="../Type%20Definitions.html#/c:SDLModuleType.h@T@SDLModuleType">SDLModuleType</a></span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-moduleId">
moduleId
</h3>
<p>Id of a module, published by System Capability.</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n">NSString</span> <span class="o">*</span><span class="n">moduleId</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">moduleId</span><span class="p">:</span> <span class="kt">String</span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-radioControlData">
radioControlData
</h3>
<p>The radio control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLRadioControlData.html">SDLRadioControlData</a></span> <span class="o">*</span><span class="n">radioControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">radioControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLRadioControlData.html">SDLRadioControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-climateControlData">
climateControlData
</h3>
<p>The climate control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLClimateControlData.html">SDLClimateControlData</a></span> <span class="o">*</span><span class="n">climateControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">climateControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLClimateControlData.html">SDLClimateControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-seatControlData">
seatControlData
</h3>
<p>The seat control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLSeatControlData.html">SDLSeatControlData</a></span> <span class="o">*</span><span class="n">seatControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">seatControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLSeatControlData.html">SDLSeatControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-audioControlData">
audioControlData
</h3>
<p>The audio control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLAudioControlData.html">SDLAudioControlData</a></span> <span class="o">*</span><span class="n">audioControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">audioControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLAudioControlData.html">SDLAudioControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-lightControlData">
lightControlData
</h3>
<p>The light control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLLightControlData.html">SDLLightControlData</a></span> <span class="o">*</span><span class="n">lightControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">lightControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLLightControlData.html">SDLLightControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
<h3 id="section-hmiSettingsControlData">
hmiSettingsControlData
</h3>
<p>The hmi control data</p>
<p>Optional</p>
<h4>Objective-C</h4>
<pre class="highlight objective_c"><code><span class="k">@property</span> <span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">,</span> <span class="n">nullable</span><span class="p">)</span> <span class="n"><a href="../Classes/SDLHMISettingsControlData.html">SDLHMISettingsControlData</a></span> <span class="o">*</span><span class="n">hmiSettingsControlData</span><span class="p">;</span></code></pre>
<h4>Swift</h4>
<pre class="highlight swift"><code><span class="k">var</span> <span class="nv">hmiSettingsControlData</span><span class="p">:</span> <span class="kt"><a href="../Classes/SDLHMISettingsControlData.html">SDLHMISettingsControlData</a></span><span class="p">?</span> <span class="p">{</span> <span class="k">get</span> <span class="k">set</span> <span class="p">}</span></code></pre>
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<h1 id="generated-statsmodels-genmod-families-varfuncs-mu-cubed--page-root">statsmodels.genmod.families.varfuncs.mu_cubed<a class="headerlink" href="#generated-statsmodels-genmod-families-varfuncs-mu-cubed--page-root" title="Permalink to this headline">¶</a></h1>
<dl class="py data">
<dt id="statsmodels.genmod.families.varfuncs.mu_cubed">
<code class="sig-prename descclassname">statsmodels.genmod.families.varfuncs.</code><code class="sig-name descname">mu_cubed</code><em class="property"> = <statsmodels.genmod.families.varfuncs.Power object></em><a class="headerlink" href="#statsmodels.genmod.families.varfuncs.mu_cubed" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns np.fabs(mu)**3</p>
<p class="rubric">Notes</p>
<p>This is an alias of statsmodels.family.links.Power(power=3)</p>
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.row-fluid .offset6 {
margin-left: 53.191489361702125%;
*margin-left: 53.085106382978715%;
}
.row-fluid .offset6:first-child {
margin-left: 51.063829787234035%;
*margin-left: 50.95744680851063%;
}
.row-fluid .offset5 {
margin-left: 44.68085106382979%;
*margin-left: 44.57446808510638%;
}
.row-fluid .offset5:first-child {
margin-left: 42.5531914893617%;
*margin-left: 42.4468085106383%;
}
.row-fluid .offset4 {
margin-left: 36.170212765957444%;
*margin-left: 36.06382978723405%;
}
.row-fluid .offset4:first-child {
margin-left: 34.04255319148936%;
*margin-left: 33.93617021276596%;
}
.row-fluid .offset3 {
margin-left: 27.659574468085104%;
*margin-left: 27.5531914893617%;
}
.row-fluid .offset3:first-child {
margin-left: 25.53191489361702%;
*margin-left: 25.425531914893618%;
}
.row-fluid .offset2 {
margin-left: 19.148936170212764%;
*margin-left: 19.04255319148936%;
}
.row-fluid .offset2:first-child {
margin-left: 17.02127659574468%;
*margin-left: 16.914893617021278%;
}
.row-fluid .offset1 {
margin-left: 10.638297872340425%;
*margin-left: 10.53191489361702%;
}
.row-fluid .offset1:first-child {
margin-left: 8.51063829787234%;
*margin-left: 8.404255319148938%;
}
[class*="span"].hide,
.row-fluid [class*="span"].hide {
display: none;
}
[class*="span"].pull-right,
.row-fluid [class*="span"].pull-right {
float: right;
}
.container {
margin-right: auto;
margin-left: auto;
*zoom: 1;
}
.container:before,
.container:after {
display: table;
line-height: 0;
content: "";
}
.container:after {
clear: both;
}
.container-fluid {
padding-right: 20px;
padding-left: 20px;
*zoom: 1;
}
.container-fluid:before,
.container-fluid:after {
display: table;
line-height: 0;
content: "";
}
.container-fluid:after {
clear: both;
}
p {
margin: 0 0 10px;
}
.lead {
margin-bottom: 20px;
font-size: 21px;
font-weight: 200;
line-height: 30px;
}
small {
font-size: 85%;
}
strong {
font-weight: bold;
}
em {
font-style: italic;
}
cite {
font-style: normal;
}
.muted {
color: #999999;
}
a.muted:hover {
color: #808080;
}
.text-warning {
color: #c09853;
}
a.text-warning:hover {
color: #a47e3c;
}
.text-error {
color: #b94a48;
}
a.text-error:hover {
color: #953b39;
}
.text-info {
color: #3a87ad;
}
a.text-info:hover {
color: #2d6987;
}
.text-success {
color: #468847;
}
a.text-success:hover {
color: #356635;
}
h1,
h2,
h3,
h4,
h5,
h6 {
margin: 10px 0;
font-family: inherit;
font-weight: bold;
line-height: 20px;
color: inherit;
text-rendering: optimizelegibility;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small {
font-weight: normal;
line-height: 1;
color: #999999;
}
h1,
h2,
h3 {
line-height: 40px;
}
h1 {
font-size: 38.5px;
}
h2 {
font-size: 31.5px;
}
h3 {
font-size: 24.5px;
}
h4 {
font-size: 17.5px;
}
h5 {
font-size: 14px;
}
h6 {
font-size: 11.9px;
}
h1 small {
font-size: 24.5px;
}
h2 small {
font-size: 17.5px;
}
h3 small {
font-size: 14px;
}
h4 small {
font-size: 14px;
}
.page-header {
padding-bottom: 9px;
margin: 20px 0 30px;
border-bottom: 1px solid #eeeeee;
}
ul,
ol {
padding: 0;
margin: 0 0 10px 25px;
}
ul ul,
ul ol,
ol ol,
ol ul {
margin-bottom: 0;
}
li {
line-height: 20px;
}
ul.unstyled,
ol.unstyled {
margin-left: 0;
list-style: none;
}
ul.inline,
ol.inline {
margin-left: 0;
list-style: none;
}
ul.inline > li,
ol.inline > li {
display: inline-block;
padding-right: 5px;
padding-left: 5px;
}
dl {
margin-bottom: 20px;
}
dt,
dd {
line-height: 20px;
}
dt {
font-weight: bold;
}
dd {
margin-left: 10px;
}
.dl-horizontal {
*zoom: 1;
}
.dl-horizontal:before,
.dl-horizontal:after {
display: table;
line-height: 0;
content: "";
}
.dl-horizontal:after {
clear: both;
}
.dl-horizontal dt {
float: left;
width: 160px;
overflow: hidden;
clear: left;
text-align: right;
text-overflow: ellipsis;
white-space: nowrap;
}
.dl-horizontal dd {
margin-left: 180px;
}
hr {
margin: 20px 0;
border: 0;
border-top: 1px solid #eeeeee;
border-bottom: 1px solid #ffffff;
}
abbr[title],
abbr[data-original-title] {
cursor: help;
border-bottom: 1px dotted #999999;
}
abbr.initialism {
font-size: 90%;
text-transform: uppercase;
}
blockquote {
padding: 0 0 0 15px;
margin: 0 0 20px;
border-left: 5px solid #eeeeee;
}
blockquote p {
margin-bottom: 0;
font-size: 16px;
font-weight: 300;
line-height: 25px;
}
blockquote small {
display: block;
line-height: 20px;
color: #999999;
}
blockquote small:before {
content: '\2014 \00A0';
}
blockquote.pull-right {
float: right;
padding-right: 15px;
padding-left: 0;
border-right: 5px solid #eeeeee;
border-left: 0;
}
blockquote.pull-right p,
blockquote.pull-right small {
text-align: right;
}
blockquote.pull-right small:before {
content: '';
}
blockquote.pull-right small:after {
content: '\00A0 \2014';
}
q:before,
q:after,
blockquote:before,
blockquote:after {
content: "";
}
address {
display: block;
margin-bottom: 20px;
font-style: normal;
line-height: 20px;
}
code,
pre {
padding: 0 3px 2px;
font-family: Monaco, Menlo, Consolas, "Courier New", monospace;
font-size: 12px;
color: #333333;
-webkit-border-radius: 3px;
-moz-border-radius: 3px;
border-radius: 3px;
}
code {
padding: 2px 4px;
color: #d14;
white-space: nowrap;
background-color: #f7f7f9;
border: 1px solid #e1e1e8;
}
pre {
display: block;
padding: 9.5px;
margin: 0 0 10px;
font-size: 13px;
line-height: 20px;
word-break: break-all;
word-wrap: break-word;
white-space: pre;
white-space: pre-wrap;
background-color: #f5f5f5;
border: 1px solid #ccc;
border: 1px solid rgba(0, 0, 0, 0.15);
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
pre.prettyprint {
margin-bottom: 20px;
}
pre code {
padding: 0;
color: inherit;
white-space: pre;
white-space: pre-wrap;
background-color: transparent;
border: 0;
}
.pre-scrollable {
max-height: 340px;
overflow-y: scroll;
}
form {
margin: 0 0 20px;
}
fieldset {
padding: 0;
margin: 0;
border: 0;
}
legend {
display: block;
width: 100%;
padding: 0;
margin-bottom: 20px;
font-size: 21px;
line-height: 40px;
color: #333333;
border: 0;
border-bottom: 1px solid #e5e5e5;
}
legend small {
font-size: 15px;
color: #999999;
}
label,
input,
button,
select,
textarea {
font-size: 14px;
font-weight: normal;
line-height: 20px;
}
input,
button,
select,
textarea {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
label {
display: block;
margin-bottom: 5px;
}
select,
textarea,
input[type="text"],
input[type="password"],
input[type="datetime"],
input[type="datetime-local"],
input[type="date"],
input[type="month"],
input[type="time"],
input[type="week"],
input[type="number"],
input[type="email"],
input[type="url"],
input[type="search"],
input[type="tel"],
input[type="color"],
.uneditable-input {
display: inline-block;
height: 20px;
padding: 4px 6px;
margin-bottom: 10px;
font-size: 14px;
line-height: 20px;
color: #555555;
vertical-align: middle;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
input,
textarea,
.uneditable-input {
width: 206px;
}
textarea {
height: auto;
}
textarea,
input[type="text"],
input[type="password"],
input[type="datetime"],
input[type="datetime-local"],
input[type="date"],
input[type="month"],
input[type="time"],
input[type="week"],
input[type="number"],
input[type="email"],
input[type="url"],
input[type="search"],
input[type="tel"],
input[type="color"],
.uneditable-input {
background-color: #ffffff;
border: 1px solid #cccccc;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-webkit-transition: border linear 0.2s, box-shadow linear 0.2s;
-moz-transition: border linear 0.2s, box-shadow linear 0.2s;
-o-transition: border linear 0.2s, box-shadow linear 0.2s;
transition: border linear 0.2s, box-shadow linear 0.2s;
}
textarea:focus,
input[type="text"]:focus,
input[type="password"]:focus,
input[type="datetime"]:focus,
input[type="datetime-local"]:focus,
input[type="date"]:focus,
input[type="month"]:focus,
input[type="time"]:focus,
input[type="week"]:focus,
input[type="number"]:focus,
input[type="email"]:focus,
input[type="url"]:focus,
input[type="search"]:focus,
input[type="tel"]:focus,
input[type="color"]:focus,
.uneditable-input:focus {
border-color: rgba(82, 168, 236, 0.8);
outline: 0;
outline: thin dotted \9;
/* IE6-9 */
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(82, 168, 236, 0.6);
}
input[type="radio"],
input[type="checkbox"] {
margin: 4px 0 0;
margin-top: 1px \9;
*margin-top: 0;
line-height: normal;
}
input[type="file"],
input[type="image"],
input[type="submit"],
input[type="reset"],
input[type="button"],
input[type="radio"],
input[type="checkbox"] {
width: auto;
}
select,
input[type="file"] {
height: 30px;
/* In IE7, the height of the select element cannot be changed by height, only font-size */
*margin-top: 4px;
/* For IE7, add top margin to align select with labels */
line-height: 30px;
}
select {
width: 220px;
background-color: #ffffff;
border: 1px solid #cccccc;
}
select[multiple],
select[size] {
height: auto;
}
select:focus,
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
outline: thin dotted #333;
outline: 5px auto -webkit-focus-ring-color;
outline-offset: -2px;
}
.uneditable-input,
.uneditable-textarea {
color: #999999;
cursor: not-allowed;
background-color: #fcfcfc;
border-color: #cccccc;
-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025);
-moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025);
box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.025);
}
.uneditable-input {
overflow: hidden;
white-space: nowrap;
}
.uneditable-textarea {
width: auto;
height: auto;
}
input:-moz-placeholder,
textarea:-moz-placeholder {
color: #999999;
}
input:-ms-input-placeholder,
textarea:-ms-input-placeholder {
color: #999999;
}
input::-webkit-input-placeholder,
textarea::-webkit-input-placeholder {
color: #999999;
}
.radio,
.checkbox {
min-height: 20px;
padding-left: 20px;
}
.radio input[type="radio"],
.checkbox input[type="checkbox"] {
float: left;
margin-left: -20px;
}
.controls > .radio:first-child,
.controls > .checkbox:first-child {
padding-top: 5px;
}
.radio.inline,
.checkbox.inline {
display: inline-block;
padding-top: 5px;
margin-bottom: 0;
vertical-align: middle;
}
.radio.inline + .radio.inline,
.checkbox.inline + .checkbox.inline {
margin-left: 10px;
}
.input-mini {
width: 60px;
}
.input-small {
width: 90px;
}
.input-medium {
width: 150px;
}
.input-large {
width: 210px;
}
.input-xlarge {
width: 270px;
}
.input-xxlarge {
width: 530px;
}
input[class*="span"],
select[class*="span"],
textarea[class*="span"],
.uneditable-input[class*="span"],
.row-fluid input[class*="span"],
.row-fluid select[class*="span"],
.row-fluid textarea[class*="span"],
.row-fluid .uneditable-input[class*="span"] {
float: none;
margin-left: 0;
}
.input-append input[class*="span"],
.input-append .uneditable-input[class*="span"],
.input-prepend input[class*="span"],
.input-prepend .uneditable-input[class*="span"],
.row-fluid input[class*="span"],
.row-fluid select[class*="span"],
.row-fluid textarea[class*="span"],
.row-fluid .uneditable-input[class*="span"],
.row-fluid .input-prepend [class*="span"],
.row-fluid .input-append [class*="span"] {
display: inline-block;
}
input,
textarea,
.uneditable-input {
margin-left: 0;
}
.controls-row [class*="span"] + [class*="span"] {
margin-left: 20px;
}
input.span12,
textarea.span12,
.uneditable-input.span12 {
width: 926px;
}
input.span11,
textarea.span11,
.uneditable-input.span11 {
width: 846px;
}
input.span10,
textarea.span10,
.uneditable-input.span10 {
width: 766px;
}
input.span9,
textarea.span9,
.uneditable-input.span9 {
width: 686px;
}
input.span8,
textarea.span8,
.uneditable-input.span8 {
width: 606px;
}
input.span7,
textarea.span7,
.uneditable-input.span7 {
width: 526px;
}
input.span6,
textarea.span6,
.uneditable-input.span6 {
width: 446px;
}
input.span5,
textarea.span5,
.uneditable-input.span5 {
width: 366px;
}
input.span4,
textarea.span4,
.uneditable-input.span4 {
width: 286px;
}
input.span3,
textarea.span3,
.uneditable-input.span3 {
width: 206px;
}
input.span2,
textarea.span2,
.uneditable-input.span2 {
width: 126px;
}
input.span1,
textarea.span1,
.uneditable-input.span1 {
width: 46px;
}
.controls-row {
*zoom: 1;
}
.controls-row:before,
.controls-row:after {
display: table;
line-height: 0;
content: "";
}
.controls-row:after {
clear: both;
}
.controls-row [class*="span"],
.row-fluid .controls-row [class*="span"] {
float: left;
}
.controls-row .checkbox[class*="span"],
.controls-row .radio[class*="span"] {
padding-top: 5px;
}
input[disabled],
select[disabled],
textarea[disabled],
input[readonly],
select[readonly],
textarea[readonly] {
cursor: not-allowed;
background-color: #eeeeee;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"][readonly],
input[type="checkbox"][readonly] {
background-color: transparent;
}
.control-group.warning .control-label,
.control-group.warning .help-block,
.control-group.warning .help-inline {
color: #c09853;
}
.control-group.warning .checkbox,
.control-group.warning .radio,
.control-group.warning input,
.control-group.warning select,
.control-group.warning textarea {
color: #c09853;
}
.control-group.warning input,
.control-group.warning select,
.control-group.warning textarea {
border-color: #c09853;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.control-group.warning input:focus,
.control-group.warning select:focus,
.control-group.warning textarea:focus {
border-color: #a47e3c;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
}
.control-group.warning .input-prepend .add-on,
.control-group.warning .input-append .add-on {
color: #c09853;
background-color: #fcf8e3;
border-color: #c09853;
}
.control-group.error .control-label,
.control-group.error .help-block,
.control-group.error .help-inline {
color: #b94a48;
}
.control-group.error .checkbox,
.control-group.error .radio,
.control-group.error input,
.control-group.error select,
.control-group.error textarea {
color: #b94a48;
}
.control-group.error input,
.control-group.error select,
.control-group.error textarea {
border-color: #b94a48;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.control-group.error input:focus,
.control-group.error select:focus,
.control-group.error textarea:focus {
border-color: #953b39;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
}
.control-group.error .input-prepend .add-on,
.control-group.error .input-append .add-on {
color: #b94a48;
background-color: #f2dede;
border-color: #b94a48;
}
.control-group.success .control-label,
.control-group.success .help-block,
.control-group.success .help-inline {
color: #468847;
}
.control-group.success .checkbox,
.control-group.success .radio,
.control-group.success input,
.control-group.success select,
.control-group.success textarea {
color: #468847;
}
.control-group.success input,
.control-group.success select,
.control-group.success textarea {
border-color: #468847;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.control-group.success input:focus,
.control-group.success select:focus,
.control-group.success textarea:focus {
border-color: #356635;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
}
.control-group.success .input-prepend .add-on,
.control-group.success .input-append .add-on {
color: #468847;
background-color: #dff0d8;
border-color: #468847;
}
.control-group.info .control-label,
.control-group.info .help-block,
.control-group.info .help-inline {
color: #3a87ad;
}
.control-group.info .checkbox,
.control-group.info .radio,
.control-group.info input,
.control-group.info select,
.control-group.info textarea {
color: #3a87ad;
}
.control-group.info input,
.control-group.info select,
.control-group.info textarea {
border-color: #3a87ad;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.control-group.info input:focus,
.control-group.info select:focus,
.control-group.info textarea:focus {
border-color: #2d6987;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
}
.control-group.info .input-prepend .add-on,
.control-group.info .input-append .add-on {
color: #3a87ad;
background-color: #d9edf7;
border-color: #3a87ad;
}
input:focus:invalid,
textarea:focus:invalid,
select:focus:invalid {
color: #b94a48;
border-color: #ee5f5b;
}
input:focus:invalid:focus,
textarea:focus:invalid:focus,
select:focus:invalid:focus {
border-color: #e9322d;
-webkit-box-shadow: 0 0 6px #f8b9b7;
-moz-box-shadow: 0 0 6px #f8b9b7;
box-shadow: 0 0 6px #f8b9b7;
}
.form-actions {
padding: 19px 20px 20px;
margin-top: 20px;
margin-bottom: 20px;
background-color: #f5f5f5;
border-top: 1px solid #e5e5e5;
*zoom: 1;
}
.form-actions:before,
.form-actions:after {
display: table;
line-height: 0;
content: "";
}
.form-actions:after {
clear: both;
}
.help-block,
.help-inline {
color: #595959;
}
.help-block {
display: block;
margin-bottom: 10px;
}
.help-inline {
display: inline-block;
*display: inline;
padding-left: 5px;
vertical-align: middle;
*zoom: 1;
}
.input-append,
.input-prepend {
margin-bottom: 5px;
font-size: 0;
white-space: nowrap;
}
.input-append input,
.input-prepend input,
.input-append select,
.input-prepend select,
.input-append .uneditable-input,
.input-prepend .uneditable-input,
.input-append .dropdown-menu,
.input-prepend .dropdown-menu {
font-size: 14px;
}
.input-append input,
.input-prepend input,
.input-append select,
.input-prepend select,
.input-append .uneditable-input,
.input-prepend .uneditable-input {
position: relative;
margin-bottom: 0;
*margin-left: 0;
vertical-align: top;
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.input-append input:focus,
.input-prepend input:focus,
.input-append select:focus,
.input-prepend select:focus,
.input-append .uneditable-input:focus,
.input-prepend .uneditable-input:focus {
z-index: 2;
}
.input-append .add-on,
.input-prepend .add-on {
display: inline-block;
width: auto;
height: 20px;
min-width: 16px;
padding: 4px 5px;
font-size: 14px;
font-weight: normal;
line-height: 20px;
text-align: center;
text-shadow: 0 1px 0 #ffffff;
background-color: #eeeeee;
border: 1px solid #ccc;
}
.input-append .add-on,
.input-prepend .add-on,
.input-append .btn,
.input-prepend .btn,
.input-append .btn-group > .dropdown-toggle,
.input-prepend .btn-group > .dropdown-toggle {
vertical-align: top;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.input-append .active,
.input-prepend .active {
background-color: #a9dba9;
border-color: #46a546;
}
.input-prepend .add-on,
.input-prepend .btn {
margin-right: -1px;
}
.input-prepend .add-on:first-child,
.input-prepend .btn:first-child {
-webkit-border-radius: 4px 0 0 4px;
-moz-border-radius: 4px 0 0 4px;
border-radius: 4px 0 0 4px;
}
.input-append input,
.input-append select,
.input-append .uneditable-input {
-webkit-border-radius: 4px 0 0 4px;
-moz-border-radius: 4px 0 0 4px;
border-radius: 4px 0 0 4px;
}
.input-append input + .btn-group .btn:last-child,
.input-append select + .btn-group .btn:last-child,
.input-append .uneditable-input + .btn-group .btn:last-child {
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.input-append .add-on,
.input-append .btn,
.input-append .btn-group {
margin-left: -1px;
}
.input-append .add-on:last-child,
.input-append .btn:last-child,
.input-append .btn-group:last-child > .dropdown-toggle {
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.input-prepend.input-append input,
.input-prepend.input-append select,
.input-prepend.input-append .uneditable-input {
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.input-prepend.input-append input + .btn-group .btn,
.input-prepend.input-append select + .btn-group .btn,
.input-prepend.input-append .uneditable-input + .btn-group .btn {
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.input-prepend.input-append .add-on:first-child,
.input-prepend.input-append .btn:first-child {
margin-right: -1px;
-webkit-border-radius: 4px 0 0 4px;
-moz-border-radius: 4px 0 0 4px;
border-radius: 4px 0 0 4px;
}
.input-prepend.input-append .add-on:last-child,
.input-prepend.input-append .btn:last-child {
margin-left: -1px;
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.input-prepend.input-append .btn-group:first-child {
margin-left: 0;
}
input.search-query {
padding-right: 14px;
padding-right: 4px \9;
padding-left: 14px;
padding-left: 4px \9;
/* IE7-8 doesn't have border-radius, so don't indent the padding */
margin-bottom: 0;
-webkit-border-radius: 15px;
-moz-border-radius: 15px;
border-radius: 15px;
}
/* Allow for input prepend/append in search forms */
.form-search .input-append .search-query,
.form-search .input-prepend .search-query {
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.form-search .input-append .search-query {
-webkit-border-radius: 14px 0 0 14px;
-moz-border-radius: 14px 0 0 14px;
border-radius: 14px 0 0 14px;
}
.form-search .input-append .btn {
-webkit-border-radius: 0 14px 14px 0;
-moz-border-radius: 0 14px 14px 0;
border-radius: 0 14px 14px 0;
}
.form-search .input-prepend .search-query {
-webkit-border-radius: 0 14px 14px 0;
-moz-border-radius: 0 14px 14px 0;
border-radius: 0 14px 14px 0;
}
.form-search .input-prepend .btn {
-webkit-border-radius: 14px 0 0 14px;
-moz-border-radius: 14px 0 0 14px;
border-radius: 14px 0 0 14px;
}
.form-search input,
.form-inline input,
.form-horizontal input,
.form-search textarea,
.form-inline textarea,
.form-horizontal textarea,
.form-search select,
.form-inline select,
.form-horizontal select,
.form-search .help-inline,
.form-inline .help-inline,
.form-horizontal .help-inline,
.form-search .uneditable-input,
.form-inline .uneditable-input,
.form-horizontal .uneditable-input,
.form-search .input-prepend,
.form-inline .input-prepend,
.form-horizontal .input-prepend,
.form-search .input-append,
.form-inline .input-append,
.form-horizontal .input-append {
display: inline-block;
*display: inline;
margin-bottom: 0;
vertical-align: middle;
*zoom: 1;
}
.form-search .hide,
.form-inline .hide,
.form-horizontal .hide {
display: none;
}
.form-search label,
.form-inline label,
.form-search .btn-group,
.form-inline .btn-group {
display: inline-block;
}
.form-search .input-append,
.form-inline .input-append,
.form-search .input-prepend,
.form-inline .input-prepend {
margin-bottom: 0;
}
.form-search .radio,
.form-search .checkbox,
.form-inline .radio,
.form-inline .checkbox {
padding-left: 0;
margin-bottom: 0;
vertical-align: middle;
}
.form-search .radio input[type="radio"],
.form-search .checkbox input[type="checkbox"],
.form-inline .radio input[type="radio"],
.form-inline .checkbox input[type="checkbox"] {
float: left;
margin-right: 3px;
margin-left: 0;
}
.control-group {
margin-bottom: 10px;
}
legend + .control-group {
margin-top: 20px;
-webkit-margin-top-collapse: separate;
}
.form-horizontal .control-group {
margin-bottom: 20px;
*zoom: 1;
}
.form-horizontal .control-group:before,
.form-horizontal .control-group:after {
display: table;
line-height: 0;
content: "";
}
.form-horizontal .control-group:after {
clear: both;
}
.form-horizontal .control-label {
float: left;
width: 160px;
padding-top: 5px;
text-align: right;
}
.form-horizontal .controls {
*display: inline-block;
*padding-left: 20px;
margin-left: 180px;
*margin-left: 0;
}
.form-horizontal .controls:first-child {
*padding-left: 180px;
}
.form-horizontal .help-block {
margin-bottom: 0;
}
.form-horizontal input + .help-block,
.form-horizontal select + .help-block,
.form-horizontal textarea + .help-block,
.form-horizontal .uneditable-input + .help-block,
.form-horizontal .input-prepend + .help-block,
.form-horizontal .input-append + .help-block {
margin-top: 10px;
}
.form-horizontal .form-actions {
padding-left: 180px;
}
table {
max-width: 100%;
background-color: transparent;
border-collapse: collapse;
border-spacing: 0;
}
.table {
width: 100%;
margin-bottom: 20px;
}
.table th,
.table td {
padding: 8px;
line-height: 20px;
text-align: left;
vertical-align: top;
border-top: 1px solid #dddddd;
}
.table th {
font-weight: bold;
}
.table thead th {
vertical-align: bottom;
}
.table caption + thead tr:first-child th,
.table caption + thead tr:first-child td,
.table colgroup + thead tr:first-child th,
.table colgroup + thead tr:first-child td,
.table thead:first-child tr:first-child th,
.table thead:first-child tr:first-child td {
border-top: 0;
}
.table tbody + tbody {
border-top: 2px solid #dddddd;
}
.table .table {
background-color: #ffffff;
}
.table-condensed th,
.table-condensed td {
padding: 4px 5px;
}
.table-bordered {
border: 1px solid #dddddd;
border-collapse: separate;
*border-collapse: collapse;
border-left: 0;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.table-bordered th,
.table-bordered td {
border-left: 1px solid #dddddd;
}
.table-bordered caption + thead tr:first-child th,
.table-bordered caption + tbody tr:first-child th,
.table-bordered caption + tbody tr:first-child td,
.table-bordered colgroup + thead tr:first-child th,
.table-bordered colgroup + tbody tr:first-child th,
.table-bordered colgroup + tbody tr:first-child td,
.table-bordered thead:first-child tr:first-child th,
.table-bordered tbody:first-child tr:first-child th,
.table-bordered tbody:first-child tr:first-child td {
border-top: 0;
}
.table-bordered thead:first-child tr:first-child > th:first-child,
.table-bordered tbody:first-child tr:first-child > td:first-child {
-webkit-border-top-left-radius: 4px;
border-top-left-radius: 4px;
-moz-border-radius-topleft: 4px;
}
.table-bordered thead:first-child tr:first-child > th:last-child,
.table-bordered tbody:first-child tr:first-child > td:last-child {
-webkit-border-top-right-radius: 4px;
border-top-right-radius: 4px;
-moz-border-radius-topright: 4px;
}
.table-bordered thead:last-child tr:last-child > th:first-child,
.table-bordered tbody:last-child tr:last-child > td:first-child,
.table-bordered tfoot:last-child tr:last-child > td:first-child {
-webkit-border-bottom-left-radius: 4px;
border-bottom-left-radius: 4px;
-moz-border-radius-bottomleft: 4px;
}
.table-bordered thead:last-child tr:last-child > th:last-child,
.table-bordered tbody:last-child tr:last-child > td:last-child,
.table-bordered tfoot:last-child tr:last-child > td:last-child {
-webkit-border-bottom-right-radius: 4px;
border-bottom-right-radius: 4px;
-moz-border-radius-bottomright: 4px;
}
.table-bordered tfoot + tbody:last-child tr:last-child td:first-child {
-webkit-border-bottom-left-radius: 0;
border-bottom-left-radius: 0;
-moz-border-radius-bottomleft: 0;
}
.table-bordered tfoot + tbody:last-child tr:last-child td:last-child {
-webkit-border-bottom-right-radius: 0;
border-bottom-right-radius: 0;
-moz-border-radius-bottomright: 0;
}
.table-bordered caption + thead tr:first-child th:first-child,
.table-bordered caption + tbody tr:first-child td:first-child,
.table-bordered colgroup + thead tr:first-child th:first-child,
.table-bordered colgroup + tbody tr:first-child td:first-child {
-webkit-border-top-left-radius: 4px;
border-top-left-radius: 4px;
-moz-border-radius-topleft: 4px;
}
.table-bordered caption + thead tr:first-child th:last-child,
.table-bordered caption + tbody tr:first-child td:last-child,
.table-bordered colgroup + thead tr:first-child th:last-child,
.table-bordered colgroup + tbody tr:first-child td:last-child {
-webkit-border-top-right-radius: 4px;
border-top-right-radius: 4px;
-moz-border-radius-topright: 4px;
}
.table-striped tbody > tr:nth-child(odd) > td,
.table-striped tbody > tr:nth-child(odd) > th {
background-color: #f9f9f9;
}
.table-hover tbody tr:hover td,
.table-hover tbody tr:hover th {
background-color: #f5f5f5;
}
table td[class*="span"],
table th[class*="span"],
.row-fluid table td[class*="span"],
.row-fluid table th[class*="span"] {
display: table-cell;
float: none;
margin-left: 0;
}
.table td.span1,
.table th.span1 {
float: none;
width: 44px;
margin-left: 0;
}
.table td.span2,
.table th.span2 {
float: none;
width: 124px;
margin-left: 0;
}
.table td.span3,
.table th.span3 {
float: none;
width: 204px;
margin-left: 0;
}
.table td.span4,
.table th.span4 {
float: none;
width: 284px;
margin-left: 0;
}
.table td.span5,
.table th.span5 {
float: none;
width: 364px;
margin-left: 0;
}
.table td.span6,
.table th.span6 {
float: none;
width: 444px;
margin-left: 0;
}
.table td.span7,
.table th.span7 {
float: none;
width: 524px;
margin-left: 0;
}
.table td.span8,
.table th.span8 {
float: none;
width: 604px;
margin-left: 0;
}
.table td.span9,
.table th.span9 {
float: none;
width: 684px;
margin-left: 0;
}
.table td.span10,
.table th.span10 {
float: none;
width: 764px;
margin-left: 0;
}
.table td.span11,
.table th.span11 {
float: none;
width: 844px;
margin-left: 0;
}
.table td.span12,
.table th.span12 {
float: none;
width: 924px;
margin-left: 0;
}
.table tbody tr.success td {
background-color: #dff0d8;
}
.table tbody tr.error td {
background-color: #f2dede;
}
.table tbody tr.warning td {
background-color: #fcf8e3;
}
.table tbody tr.info td {
background-color: #d9edf7;
}
.table-hover tbody tr.success:hover td {
background-color: #d0e9c6;
}
.table-hover tbody tr.error:hover td {
background-color: #ebcccc;
}
.table-hover tbody tr.warning:hover td {
background-color: #faf2cc;
}
.table-hover tbody tr.info:hover td {
background-color: #c4e3f3;
}
[class^="icon-"],
[class*=" icon-"] {
display: inline-block;
width: 14px;
height: 14px;
margin-top: 1px;
*margin-right: .3em;
line-height: 14px;
vertical-align: text-top;
background-image: url("../images/glyphicons-halflings.png");
background-position: 14px 14px;
background-repeat: no-repeat;
}
/* White icons with optional class, or on hover/active states of certain elements */
.icon-white,
.nav-pills > .active > a > [class^="icon-"],
.nav-pills > .active > a > [class*=" icon-"],
.nav-list > .active > a > [class^="icon-"],
.nav-list > .active > a > [class*=" icon-"],
.navbar-inverse .nav > .active > a > [class^="icon-"],
.navbar-inverse .nav > .active > a > [class*=" icon-"],
.dropdown-menu > li > a:hover > [class^="icon-"],
.dropdown-menu > li > a:hover > [class*=" icon-"],
.dropdown-menu > .active > a > [class^="icon-"],
.dropdown-menu > .active > a > [class*=" icon-"],
.dropdown-submenu:hover > a > [class^="icon-"],
.dropdown-submenu:hover > a > [class*=" icon-"] {
background-image: url("../images/glyphicons-halflings-white.png");
}
.icon-glass {
background-position: 0 0;
}
.icon-music {
background-position: -24px 0;
}
.icon-search {
background-position: -48px 0;
}
.icon-envelope {
background-position: -72px 0;
}
.icon-heart {
background-position: -96px 0;
}
.icon-star {
background-position: -120px 0;
}
.icon-star-empty {
background-position: -144px 0;
}
.icon-user {
background-position: -168px 0;
}
.icon-film {
background-position: -192px 0;
}
.icon-th-large {
background-position: -216px 0;
}
.icon-th {
background-position: -240px 0;
}
.icon-th-list {
background-position: -264px 0;
}
.icon-ok {
background-position: -288px 0;
}
.icon-remove {
background-position: -312px 0;
}
.icon-zoom-in {
background-position: -336px 0;
}
.icon-zoom-out {
background-position: -360px 0;
}
.icon-off {
background-position: -384px 0;
}
.icon-signal {
background-position: -408px 0;
}
.icon-cog {
background-position: -432px 0;
}
.icon-trash {
background-position: -456px 0;
}
.icon-home {
background-position: 0 -24px;
}
.icon-file {
background-position: -24px -24px;
}
.icon-time {
background-position: -48px -24px;
}
.icon-road {
background-position: -72px -24px;
}
.icon-download-alt {
background-position: -96px -24px;
}
.icon-download {
background-position: -120px -24px;
}
.icon-upload {
background-position: -144px -24px;
}
.icon-inbox {
background-position: -168px -24px;
}
.icon-play-circle {
background-position: -192px -24px;
}
.icon-repeat {
background-position: -216px -24px;
}
.icon-refresh {
background-position: -240px -24px;
}
.icon-list-alt {
background-position: -264px -24px;
}
.icon-lock {
background-position: -287px -24px;
}
.icon-flag {
background-position: -312px -24px;
}
.icon-headphones {
background-position: -336px -24px;
}
.icon-volume-off {
background-position: -360px -24px;
}
.icon-volume-down {
background-position: -384px -24px;
}
.icon-volume-up {
background-position: -408px -24px;
}
.icon-qrcode {
background-position: -432px -24px;
}
.icon-barcode {
background-position: -456px -24px;
}
.icon-tag {
background-position: 0 -48px;
}
.icon-tags {
background-position: -25px -48px;
}
.icon-book {
background-position: -48px -48px;
}
.icon-bookmark {
background-position: -72px -48px;
}
.icon-print {
background-position: -96px -48px;
}
.icon-camera {
background-position: -120px -48px;
}
.icon-font {
background-position: -144px -48px;
}
.icon-bold {
background-position: -167px -48px;
}
.icon-italic {
background-position: -192px -48px;
}
.icon-text-height {
background-position: -216px -48px;
}
.icon-text-width {
background-position: -240px -48px;
}
.icon-align-left {
background-position: -264px -48px;
}
.icon-align-center {
background-position: -288px -48px;
}
.icon-align-right {
background-position: -312px -48px;
}
.icon-align-justify {
background-position: -336px -48px;
}
.icon-list {
background-position: -360px -48px;
}
.icon-indent-left {
background-position: -384px -48px;
}
.icon-indent-right {
background-position: -408px -48px;
}
.icon-facetime-video {
background-position: -432px -48px;
}
.icon-picture {
background-position: -456px -48px;
}
.icon-pencil {
background-position: 0 -72px;
}
.icon-map-marker {
background-position: -24px -72px;
}
.icon-adjust {
background-position: -48px -72px;
}
.icon-tint {
background-position: -72px -72px;
}
.icon-edit {
background-position: -96px -72px;
}
.icon-share {
background-position: -120px -72px;
}
.icon-check {
background-position: -144px -72px;
}
.icon-move {
background-position: -168px -72px;
}
.icon-step-backward {
background-position: -192px -72px;
}
.icon-fast-backward {
background-position: -216px -72px;
}
.icon-backward {
background-position: -240px -72px;
}
.icon-play {
background-position: -264px -72px;
}
.icon-pause {
background-position: -288px -72px;
}
.icon-stop {
background-position: -312px -72px;
}
.icon-forward {
background-position: -336px -72px;
}
.icon-fast-forward {
background-position: -360px -72px;
}
.icon-step-forward {
background-position: -384px -72px;
}
.icon-eject {
background-position: -408px -72px;
}
.icon-chevron-left {
background-position: -432px -72px;
}
.icon-chevron-right {
background-position: -456px -72px;
}
.icon-plus-sign {
background-position: 0 -96px;
}
.icon-minus-sign {
background-position: -24px -96px;
}
.icon-remove-sign {
background-position: -48px -96px;
}
.icon-ok-sign {
background-position: -72px -96px;
}
.icon-question-sign {
background-position: -96px -96px;
}
.icon-info-sign {
background-position: -120px -96px;
}
.icon-screenshot {
background-position: -144px -96px;
}
.icon-remove-circle {
background-position: -168px -96px;
}
.icon-ok-circle {
background-position: -192px -96px;
}
.icon-ban-circle {
background-position: -216px -96px;
}
.icon-arrow-left {
background-position: -240px -96px;
}
.icon-arrow-right {
background-position: -264px -96px;
}
.icon-arrow-up {
background-position: -289px -96px;
}
.icon-arrow-down {
background-position: -312px -96px;
}
.icon-share-alt {
background-position: -336px -96px;
}
.icon-resize-full {
background-position: -360px -96px;
}
.icon-resize-small {
background-position: -384px -96px;
}
.icon-plus {
background-position: -408px -96px;
}
.icon-minus {
background-position: -433px -96px;
}
.icon-asterisk {
background-position: -456px -96px;
}
.icon-exclamation-sign {
background-position: 0 -120px;
}
.icon-gift {
background-position: -24px -120px;
}
.icon-leaf {
background-position: -48px -120px;
}
.icon-fire {
background-position: -72px -120px;
}
.icon-eye-open {
background-position: -96px -120px;
}
.icon-eye-close {
background-position: -120px -120px;
}
.icon-warning-sign {
background-position: -144px -120px;
}
.icon-plane {
background-position: -168px -120px;
}
.icon-calendar {
background-position: -192px -120px;
}
.icon-random {
width: 16px;
background-position: -216px -120px;
}
.icon-comment {
background-position: -240px -120px;
}
.icon-magnet {
background-position: -264px -120px;
}
.icon-chevron-up {
background-position: -288px -120px;
}
.icon-chevron-down {
background-position: -313px -119px;
}
.icon-retweet {
background-position: -336px -120px;
}
.icon-shopping-cart {
background-position: -360px -120px;
}
.icon-folder-close {
background-position: -384px -120px;
}
.icon-folder-open {
width: 16px;
background-position: -408px -120px;
}
.icon-resize-vertical {
background-position: -432px -119px;
}
.icon-resize-horizontal {
background-position: -456px -118px;
}
.icon-hdd {
background-position: 0 -144px;
}
.icon-bullhorn {
background-position: -24px -144px;
}
.icon-bell {
background-position: -48px -144px;
}
.icon-certificate {
background-position: -72px -144px;
}
.icon-thumbs-up {
background-position: -96px -144px;
}
.icon-thumbs-down {
background-position: -120px -144px;
}
.icon-hand-right {
background-position: -144px -144px;
}
.icon-hand-left {
background-position: -168px -144px;
}
.icon-hand-up {
background-position: -192px -144px;
}
.icon-hand-down {
background-position: -216px -144px;
}
.icon-circle-arrow-right {
background-position: -240px -144px;
}
.icon-circle-arrow-left {
background-position: -264px -144px;
}
.icon-circle-arrow-up {
background-position: -288px -144px;
}
.icon-circle-arrow-down {
background-position: -312px -144px;
}
.icon-globe {
background-position: -336px -144px;
}
.icon-wrench {
background-position: -360px -144px;
}
.icon-tasks {
background-position: -384px -144px;
}
.icon-filter {
background-position: -408px -144px;
}
.icon-briefcase {
background-position: -432px -144px;
}
.icon-fullscreen {
background-position: -456px -144px;
}
.dropup,
.dropdown {
position: relative;
}
.dropdown-toggle {
*margin-bottom: -3px;
}
.dropdown-toggle:active,
.open .dropdown-toggle {
outline: 0;
}
.caret {
display: inline-block;
width: 0;
height: 0;
vertical-align: top;
border-top: 4px solid #000000;
border-right: 4px solid transparent;
border-left: 4px solid transparent;
content: "";
}
.dropdown .caret {
margin-top: 8px;
margin-left: 2px;
}
.dropdown-menu {
position: absolute;
top: 100%;
left: 0;
z-index: 1000;
display: none;
float: left;
min-width: 160px;
padding: 5px 0;
margin: 2px 0 0;
list-style: none;
background-color: #ffffff;
border: 1px solid #ccc;
border: 1px solid rgba(0, 0, 0, 0.2);
*border-right-width: 2px;
*border-bottom-width: 2px;
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
-webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
-moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
-webkit-background-clip: padding-box;
-moz-background-clip: padding;
background-clip: padding-box;
}
.dropdown-menu.pull-right {
right: 0;
left: auto;
}
.dropdown-menu .divider {
*width: 100%;
height: 1px;
margin: 9px 1px;
*margin: -5px 0 5px;
overflow: hidden;
background-color: #e5e5e5;
border-bottom: 1px solid #ffffff;
}
.dropdown-menu li > a {
display: block;
padding: 3px 20px;
clear: both;
font-weight: normal;
line-height: 20px;
color: #333333;
white-space: nowrap;
}
.dropdown-menu li > a:hover,
.dropdown-menu li > a:focus,
.dropdown-submenu:hover > a {
color: #ffffff;
text-decoration: none;
background-color: #0081c2;
background-image: -moz-linear-gradient(top, #0088cc, #0077b3);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));
background-image: -webkit-linear-gradient(top, #0088cc, #0077b3);
background-image: -o-linear-gradient(top, #0088cc, #0077b3);
background-image: linear-gradient(to bottom, #0088cc, #0077b3);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);
}
.dropdown-menu .active > a,
.dropdown-menu .active > a:hover {
color: #ffffff;
text-decoration: none;
background-color: #0081c2;
background-image: -moz-linear-gradient(top, #0088cc, #0077b3);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));
background-image: -webkit-linear-gradient(top, #0088cc, #0077b3);
background-image: -o-linear-gradient(top, #0088cc, #0077b3);
background-image: linear-gradient(to bottom, #0088cc, #0077b3);
background-repeat: repeat-x;
outline: 0;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);
}
.dropdown-menu .disabled > a,
.dropdown-menu .disabled > a:hover {
color: #999999;
}
.dropdown-menu .disabled > a:hover {
text-decoration: none;
cursor: default;
background-color: transparent;
background-image: none;
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.open {
*z-index: 1000;
}
.open > .dropdown-menu {
display: block;
}
.pull-right > .dropdown-menu {
right: 0;
left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
border-top: 0;
border-bottom: 4px solid #000000;
content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
top: auto;
bottom: 100%;
margin-bottom: 1px;
}
.dropdown-submenu {
position: relative;
}
.dropdown-submenu > .dropdown-menu {
top: 0;
left: 100%;
margin-top: -6px;
margin-left: -1px;
-webkit-border-radius: 0 6px 6px 6px;
-moz-border-radius: 0 6px 6px 6px;
border-radius: 0 6px 6px 6px;
}
.dropdown-submenu:hover > .dropdown-menu {
display: block;
}
.dropup .dropdown-submenu > .dropdown-menu {
top: auto;
bottom: 0;
margin-top: 0;
margin-bottom: -2px;
-webkit-border-radius: 5px 5px 5px 0;
-moz-border-radius: 5px 5px 5px 0;
border-radius: 5px 5px 5px 0;
}
.dropdown-submenu > a:after {
display: block;
float: right;
width: 0;
height: 0;
margin-top: 5px;
margin-right: -10px;
border-color: transparent;
border-left-color: #cccccc;
border-style: solid;
border-width: 5px 0 5px 5px;
content: " ";
}
.dropdown-submenu:hover > a:after {
border-left-color: #ffffff;
}
.dropdown-submenu.pull-left {
float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
left: -100%;
margin-left: 10px;
-webkit-border-radius: 6px 0 6px 6px;
-moz-border-radius: 6px 0 6px 6px;
border-radius: 6px 0 6px 6px;
}
.dropdown .dropdown-menu .nav-header {
padding-right: 20px;
padding-left: 20px;
}
.typeahead {
z-index: 1051;
margin-top: 2px;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.well {
min-height: 20px;
padding: 19px;
margin-bottom: 20px;
background-color: #f5f5f5;
border: 1px solid #e3e3e3;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
-moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
border-color: #ddd;
border-color: rgba(0, 0, 0, 0.15);
}
.well-large {
padding: 24px;
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
}
.well-small {
padding: 9px;
-webkit-border-radius: 3px;
-moz-border-radius: 3px;
border-radius: 3px;
}
.fade {
opacity: 0;
-webkit-transition: opacity 0.15s linear;
-moz-transition: opacity 0.15s linear;
-o-transition: opacity 0.15s linear;
transition: opacity 0.15s linear;
}
.fade.in {
opacity: 1;
}
.collapse {
position: relative;
height: 0;
overflow: hidden;
-webkit-transition: height 0.35s ease;
-moz-transition: height 0.35s ease;
-o-transition: height 0.35s ease;
transition: height 0.35s ease;
}
.collapse.in {
height: auto;
}
.close {
float: right;
font-size: 20px;
font-weight: bold;
line-height: 20px;
color: #000000;
text-shadow: 0 1px 0 #ffffff;
opacity: 0.2;
filter: alpha(opacity=20);
}
.close:hover {
color: #000000;
text-decoration: none;
cursor: pointer;
opacity: 0.4;
filter: alpha(opacity=40);
}
button.close {
padding: 0;
cursor: pointer;
background: transparent;
border: 0;
-webkit-appearance: none;
}
.btn {
display: inline-block;
*display: inline;
padding: 4px 12px;
margin-bottom: 0;
*margin-left: .3em;
font-size: 14px;
line-height: 20px;
color: #333333;
text-align: center;
text-shadow: 0 1px 1px rgba(255, 255, 255, 0.75);
vertical-align: middle;
cursor: pointer;
background-color: #f5f5f5;
*background-color: #e6e6e6;
background-image: -moz-linear-gradient(top, #ffffff, #e6e6e6);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6));
background-image: -webkit-linear-gradient(top, #ffffff, #e6e6e6);
background-image: -o-linear-gradient(top, #ffffff, #e6e6e6);
background-image: linear-gradient(to bottom, #ffffff, #e6e6e6);
background-repeat: repeat-x;
border: 1px solid #bbbbbb;
*border: 0;
border-color: #e6e6e6 #e6e6e6 #bfbfbf;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
border-bottom-color: #a2a2a2;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe6e6e6', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
*zoom: 1;
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
-moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
}
.btn:hover,
.btn:active,
.btn.active,
.btn.disabled,
.btn[disabled] {
color: #333333;
background-color: #e6e6e6;
*background-color: #d9d9d9;
}
.btn:active,
.btn.active {
background-color: #cccccc \9;
}
.btn:first-child {
*margin-left: 0;
}
.btn:hover {
color: #333333;
text-decoration: none;
background-position: 0 -15px;
-webkit-transition: background-position 0.1s linear;
-moz-transition: background-position 0.1s linear;
-o-transition: background-position 0.1s linear;
transition: background-position 0.1s linear;
}
.btn:focus {
outline: thin dotted #333;
outline: 5px auto -webkit-focus-ring-color;
outline-offset: -2px;
}
.btn.active,
.btn:active {
background-image: none;
outline: 0;
-webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
-moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
}
.btn.disabled,
.btn[disabled] {
cursor: default;
background-image: none;
opacity: 0.65;
filter: alpha(opacity=65);
-webkit-box-shadow: none;
-moz-box-shadow: none;
box-shadow: none;
}
.btn-large {
padding: 11px 19px;
font-size: 17.5px;
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
}
.btn-large [class^="icon-"],
.btn-large [class*=" icon-"] {
margin-top: 4px;
}
.btn-small {
padding: 2px 10px;
font-size: 11.9px;
-webkit-border-radius: 3px;
-moz-border-radius: 3px;
border-radius: 3px;
}
.btn-small [class^="icon-"],
.btn-small [class*=" icon-"] {
margin-top: 0;
}
.btn-mini [class^="icon-"],
.btn-mini [class*=" icon-"] {
margin-top: -1px;
}
.btn-mini {
padding: 0 6px;
font-size: 10.5px;
-webkit-border-radius: 3px;
-moz-border-radius: 3px;
border-radius: 3px;
}
.btn-block {
display: block;
width: 100%;
padding-right: 0;
padding-left: 0;
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
.btn-block + .btn-block {
margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
width: 100%;
}
.btn-primary.active,
.btn-warning.active,
.btn-danger.active,
.btn-success.active,
.btn-info.active,
.btn-inverse.active {
color: rgba(255, 255, 255, 0.75);
}
.btn {
border-color: #c5c5c5;
border-color: rgba(0, 0, 0, 0.15) rgba(0, 0, 0, 0.15) rgba(0, 0, 0, 0.25);
}
.btn-primary {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #006dcc;
*background-color: #0044cc;
background-image: -moz-linear-gradient(top, #0088cc, #0044cc);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc));
background-image: -webkit-linear-gradient(top, #0088cc, #0044cc);
background-image: -o-linear-gradient(top, #0088cc, #0044cc);
background-image: linear-gradient(to bottom, #0088cc, #0044cc);
background-repeat: repeat-x;
border-color: #0044cc #0044cc #002a80;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0044cc', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-primary:hover,
.btn-primary:active,
.btn-primary.active,
.btn-primary.disabled,
.btn-primary[disabled] {
color: #ffffff;
background-color: #0044cc;
*background-color: #003bb3;
}
.btn-primary:active,
.btn-primary.active {
background-color: #003399 \9;
}
.btn-warning {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #faa732;
*background-color: #f89406;
background-image: -moz-linear-gradient(top, #fbb450, #f89406);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));
background-image: -webkit-linear-gradient(top, #fbb450, #f89406);
background-image: -o-linear-gradient(top, #fbb450, #f89406);
background-image: linear-gradient(to bottom, #fbb450, #f89406);
background-repeat: repeat-x;
border-color: #f89406 #f89406 #ad6704;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-warning:hover,
.btn-warning:active,
.btn-warning.active,
.btn-warning.disabled,
.btn-warning[disabled] {
color: #ffffff;
background-color: #f89406;
*background-color: #df8505;
}
.btn-warning:active,
.btn-warning.active {
background-color: #c67605 \9;
}
.btn-danger {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #da4f49;
*background-color: #bd362f;
background-image: -moz-linear-gradient(top, #ee5f5b, #bd362f);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#bd362f));
background-image: -webkit-linear-gradient(top, #ee5f5b, #bd362f);
background-image: -o-linear-gradient(top, #ee5f5b, #bd362f);
background-image: linear-gradient(to bottom, #ee5f5b, #bd362f);
background-repeat: repeat-x;
border-color: #bd362f #bd362f #802420;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffbd362f', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-danger:hover,
.btn-danger:active,
.btn-danger.active,
.btn-danger.disabled,
.btn-danger[disabled] {
color: #ffffff;
background-color: #bd362f;
*background-color: #a9302a;
}
.btn-danger:active,
.btn-danger.active {
background-color: #942a25 \9;
}
.btn-success {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #5bb75b;
*background-color: #51a351;
background-image: -moz-linear-gradient(top, #62c462, #51a351);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#51a351));
background-image: -webkit-linear-gradient(top, #62c462, #51a351);
background-image: -o-linear-gradient(top, #62c462, #51a351);
background-image: linear-gradient(to bottom, #62c462, #51a351);
background-repeat: repeat-x;
border-color: #51a351 #51a351 #387038;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff51a351', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-success:hover,
.btn-success:active,
.btn-success.active,
.btn-success.disabled,
.btn-success[disabled] {
color: #ffffff;
background-color: #51a351;
*background-color: #499249;
}
.btn-success:active,
.btn-success.active {
background-color: #408140 \9;
}
.btn-info {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #49afcd;
*background-color: #2f96b4;
background-image: -moz-linear-gradient(top, #5bc0de, #2f96b4);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#2f96b4));
background-image: -webkit-linear-gradient(top, #5bc0de, #2f96b4);
background-image: -o-linear-gradient(top, #5bc0de, #2f96b4);
background-image: linear-gradient(to bottom, #5bc0de, #2f96b4);
background-repeat: repeat-x;
border-color: #2f96b4 #2f96b4 #1f6377;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2f96b4', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-info:hover,
.btn-info:active,
.btn-info.active,
.btn-info.disabled,
.btn-info[disabled] {
color: #ffffff;
background-color: #2f96b4;
*background-color: #2a85a0;
}
.btn-info:active,
.btn-info.active {
background-color: #24748c \9;
}
.btn-inverse {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #363636;
*background-color: #222222;
background-image: -moz-linear-gradient(top, #444444, #222222);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#444444), to(#222222));
background-image: -webkit-linear-gradient(top, #444444, #222222);
background-image: -o-linear-gradient(top, #444444, #222222);
background-image: linear-gradient(to bottom, #444444, #222222);
background-repeat: repeat-x;
border-color: #222222 #222222 #000000;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff444444', endColorstr='#ff222222', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.btn-inverse:hover,
.btn-inverse:active,
.btn-inverse.active,
.btn-inverse.disabled,
.btn-inverse[disabled] {
color: #ffffff;
background-color: #222222;
*background-color: #151515;
}
.btn-inverse:active,
.btn-inverse.active {
background-color: #080808 \9;
}
button.btn,
input[type="submit"].btn {
*padding-top: 3px;
*padding-bottom: 3px;
}
button.btn::-moz-focus-inner,
input[type="submit"].btn::-moz-focus-inner {
padding: 0;
border: 0;
}
button.btn.btn-large,
input[type="submit"].btn.btn-large {
*padding-top: 7px;
*padding-bottom: 7px;
}
button.btn.btn-small,
input[type="submit"].btn.btn-small {
*padding-top: 3px;
*padding-bottom: 3px;
}
button.btn.btn-mini,
input[type="submit"].btn.btn-mini {
*padding-top: 1px;
*padding-bottom: 1px;
}
.btn-link,
.btn-link:active,
.btn-link[disabled] {
background-color: transparent;
background-image: none;
-webkit-box-shadow: none;
-moz-box-shadow: none;
box-shadow: none;
}
.btn-link {
color: #0088cc;
cursor: pointer;
border-color: transparent;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.btn-link:hover {
color: #005580;
text-decoration: underline;
background-color: transparent;
}
.btn-link[disabled]:hover {
color: #333333;
text-decoration: none;
}
.btn-group {
position: relative;
display: inline-block;
*display: inline;
*margin-left: .3em;
font-size: 0;
white-space: nowrap;
vertical-align: middle;
*zoom: 1;
}
.btn-group:first-child {
*margin-left: 0;
}
.btn-group + .btn-group {
margin-left: 5px;
}
.btn-toolbar {
margin-top: 10px;
margin-bottom: 10px;
font-size: 0;
}
.btn-toolbar > .btn + .btn,
.btn-toolbar > .btn-group + .btn,
.btn-toolbar > .btn + .btn-group {
margin-left: 5px;
}
.btn-group > .btn {
position: relative;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.btn-group > .btn + .btn {
margin-left: -1px;
}
.btn-group > .btn,
.btn-group > .dropdown-menu,
.btn-group > .popover {
font-size: 14px;
}
.btn-group > .btn-mini {
font-size: 10.5px;
}
.btn-group > .btn-small {
font-size: 11.9px;
}
.btn-group > .btn-large {
font-size: 17.5px;
}
.btn-group > .btn:first-child {
margin-left: 0;
-webkit-border-bottom-left-radius: 4px;
border-bottom-left-radius: 4px;
-webkit-border-top-left-radius: 4px;
border-top-left-radius: 4px;
-moz-border-radius-bottomleft: 4px;
-moz-border-radius-topleft: 4px;
}
.btn-group > .btn:last-child,
.btn-group > .dropdown-toggle {
-webkit-border-top-right-radius: 4px;
border-top-right-radius: 4px;
-webkit-border-bottom-right-radius: 4px;
border-bottom-right-radius: 4px;
-moz-border-radius-topright: 4px;
-moz-border-radius-bottomright: 4px;
}
.btn-group > .btn.large:first-child {
margin-left: 0;
-webkit-border-bottom-left-radius: 6px;
border-bottom-left-radius: 6px;
-webkit-border-top-left-radius: 6px;
border-top-left-radius: 6px;
-moz-border-radius-bottomleft: 6px;
-moz-border-radius-topleft: 6px;
}
.btn-group > .btn.large:last-child,
.btn-group > .large.dropdown-toggle {
-webkit-border-top-right-radius: 6px;
border-top-right-radius: 6px;
-webkit-border-bottom-right-radius: 6px;
border-bottom-right-radius: 6px;
-moz-border-radius-topright: 6px;
-moz-border-radius-bottomright: 6px;
}
.btn-group > .btn:hover,
.btn-group > .btn:focus,
.btn-group > .btn:active,
.btn-group > .btn.active {
z-index: 2;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
*padding-top: 5px;
padding-right: 8px;
*padding-bottom: 5px;
padding-left: 8px;
-webkit-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
-moz-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
}
.btn-group > .btn-mini + .dropdown-toggle {
*padding-top: 2px;
padding-right: 5px;
*padding-bottom: 2px;
padding-left: 5px;
}
.btn-group > .btn-small + .dropdown-toggle {
*padding-top: 5px;
*padding-bottom: 4px;
}
.btn-group > .btn-large + .dropdown-toggle {
*padding-top: 7px;
padding-right: 12px;
*padding-bottom: 7px;
padding-left: 12px;
}
.btn-group.open .dropdown-toggle {
background-image: none;
-webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
-moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
}
.btn-group.open .btn.dropdown-toggle {
background-color: #e6e6e6;
}
.btn-group.open .btn-primary.dropdown-toggle {
background-color: #0044cc;
}
.btn-group.open .btn-warning.dropdown-toggle {
background-color: #f89406;
}
.btn-group.open .btn-danger.dropdown-toggle {
background-color: #bd362f;
}
.btn-group.open .btn-success.dropdown-toggle {
background-color: #51a351;
}
.btn-group.open .btn-info.dropdown-toggle {
background-color: #2f96b4;
}
.btn-group.open .btn-inverse.dropdown-toggle {
background-color: #222222;
}
.btn .caret {
margin-top: 8px;
margin-left: 0;
}
.btn-mini .caret,
.btn-small .caret,
.btn-large .caret {
margin-top: 6px;
}
.btn-large .caret {
border-top-width: 5px;
border-right-width: 5px;
border-left-width: 5px;
}
.dropup .btn-large .caret {
border-bottom-width: 5px;
}
.btn-primary .caret,
.btn-warning .caret,
.btn-danger .caret,
.btn-info .caret,
.btn-success .caret,
.btn-inverse .caret {
border-top-color: #ffffff;
border-bottom-color: #ffffff;
}
.btn-group-vertical {
display: inline-block;
*display: inline;
/* IE7 inline-block hack */
*zoom: 1;
}
.btn-group-vertical > .btn {
display: block;
float: none;
max-width: 100%;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.btn-group-vertical > .btn + .btn {
margin-top: -1px;
margin-left: 0;
}
.btn-group-vertical > .btn:first-child {
-webkit-border-radius: 4px 4px 0 0;
-moz-border-radius: 4px 4px 0 0;
border-radius: 4px 4px 0 0;
}
.btn-group-vertical > .btn:last-child {
-webkit-border-radius: 0 0 4px 4px;
-moz-border-radius: 0 0 4px 4px;
border-radius: 0 0 4px 4px;
}
.btn-group-vertical > .btn-large:first-child {
-webkit-border-radius: 6px 6px 0 0;
-moz-border-radius: 6px 6px 0 0;
border-radius: 6px 6px 0 0;
}
.btn-group-vertical > .btn-large:last-child {
-webkit-border-radius: 0 0 6px 6px;
-moz-border-radius: 0 0 6px 6px;
border-radius: 0 0 6px 6px;
}
.alert {
padding: 8px 35px 8px 14px;
margin-bottom: 20px;
text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
background-color: #fcf8e3;
border: 1px solid #fbeed5;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.alert,
.alert h4 {
color: #c09853;
}
.alert h4 {
margin: 0;
}
.alert .close {
position: relative;
top: -2px;
right: -21px;
line-height: 20px;
}
.alert-success {
color: #468847;
background-color: #dff0d8;
border-color: #d6e9c6;
}
.alert-success h4 {
color: #468847;
}
.alert-danger,
.alert-error {
color: #b94a48;
background-color: #f2dede;
border-color: #eed3d7;
}
.alert-danger h4,
.alert-error h4 {
color: #b94a48;
}
.alert-info {
color: #3a87ad;
background-color: #d9edf7;
border-color: #bce8f1;
}
.alert-info h4 {
color: #3a87ad;
}
.alert-block {
padding-top: 14px;
padding-bottom: 14px;
}
.alert-block > p,
.alert-block > ul {
margin-bottom: 0;
}
.alert-block p + p {
margin-top: 5px;
}
.nav {
margin-bottom: 20px;
margin-left: 0;
list-style: none;
}
.nav > li > a {
display: block;
}
.nav > li > a:hover {
text-decoration: none;
background-color: #eeeeee;
}
.nav > li > a > img {
max-width: none;
}
.nav > .pull-right {
float: right;
}
.nav-header {
display: block;
padding: 3px 15px;
font-size: 11px;
font-weight: bold;
line-height: 20px;
color: #999999;
text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
text-transform: uppercase;
}
.nav li + .nav-header {
margin-top: 9px;
}
.nav-list {
padding-right: 15px;
padding-left: 15px;
margin-bottom: 0;
}
.nav-list > li > a,
.nav-list .nav-header {
margin-right: -15px;
margin-left: -15px;
text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
}
.nav-list > li > a {
padding: 3px 15px;
}
.nav-list > .active > a,
.nav-list > .active > a:hover {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);
background-color: #0088cc;
}
.nav-list [class^="icon-"],
.nav-list [class*=" icon-"] {
margin-right: 2px;
}
.nav-list .divider {
*width: 100%;
height: 1px;
margin: 9px 1px;
*margin: -5px 0 5px;
overflow: hidden;
background-color: #e5e5e5;
border-bottom: 1px solid #ffffff;
}
.nav-tabs,
.nav-pills {
*zoom: 1;
}
.nav-tabs:before,
.nav-pills:before,
.nav-tabs:after,
.nav-pills:after {
display: table;
line-height: 0;
content: "";
}
.nav-tabs:after,
.nav-pills:after {
clear: both;
}
.nav-tabs > li,
.nav-pills > li {
float: left;
}
.nav-tabs > li > a,
.nav-pills > li > a {
padding-right: 12px;
padding-left: 12px;
margin-right: 2px;
line-height: 14px;
}
.nav-tabs {
border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
margin-bottom: -1px;
}
.nav-tabs > li > a {
padding-top: 8px;
padding-bottom: 8px;
line-height: 20px;
border: 1px solid transparent;
-webkit-border-radius: 4px 4px 0 0;
-moz-border-radius: 4px 4px 0 0;
border-radius: 4px 4px 0 0;
}
.nav-tabs > li > a:hover {
border-color: #eeeeee #eeeeee #dddddd;
}
.nav-tabs > .active > a,
.nav-tabs > .active > a:hover {
color: #555555;
cursor: default;
background-color: #ffffff;
border: 1px solid #ddd;
border-bottom-color: transparent;
}
.nav-pills > li > a {
padding-top: 8px;
padding-bottom: 8px;
margin-top: 2px;
margin-bottom: 2px;
-webkit-border-radius: 5px;
-moz-border-radius: 5px;
border-radius: 5px;
}
.nav-pills > .active > a,
.nav-pills > .active > a:hover {
color: #ffffff;
background-color: #0088cc;
}
.nav-stacked > li {
float: none;
}
.nav-stacked > li > a {
margin-right: 0;
}
.nav-tabs.nav-stacked {
border-bottom: 0;
}
.nav-tabs.nav-stacked > li > a {
border: 1px solid #ddd;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.nav-tabs.nav-stacked > li:first-child > a {
-webkit-border-top-right-radius: 4px;
border-top-right-radius: 4px;
-webkit-border-top-left-radius: 4px;
border-top-left-radius: 4px;
-moz-border-radius-topright: 4px;
-moz-border-radius-topleft: 4px;
}
.nav-tabs.nav-stacked > li:last-child > a {
-webkit-border-bottom-right-radius: 4px;
border-bottom-right-radius: 4px;
-webkit-border-bottom-left-radius: 4px;
border-bottom-left-radius: 4px;
-moz-border-radius-bottomright: 4px;
-moz-border-radius-bottomleft: 4px;
}
.nav-tabs.nav-stacked > li > a:hover {
z-index: 2;
border-color: #ddd;
}
.nav-pills.nav-stacked > li > a {
margin-bottom: 3px;
}
.nav-pills.nav-stacked > li:last-child > a {
margin-bottom: 1px;
}
.nav-tabs .dropdown-menu {
-webkit-border-radius: 0 0 6px 6px;
-moz-border-radius: 0 0 6px 6px;
border-radius: 0 0 6px 6px;
}
.nav-pills .dropdown-menu {
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
}
.nav .dropdown-toggle .caret {
margin-top: 6px;
border-top-color: #0088cc;
border-bottom-color: #0088cc;
}
.nav .dropdown-toggle:hover .caret {
border-top-color: #005580;
border-bottom-color: #005580;
}
/* move down carets for tabs */
.nav-tabs .dropdown-toggle .caret {
margin-top: 8px;
}
.nav .active .dropdown-toggle .caret {
border-top-color: #fff;
border-bottom-color: #fff;
}
.nav-tabs .active .dropdown-toggle .caret {
border-top-color: #555555;
border-bottom-color: #555555;
}
.nav > .dropdown.active > a:hover {
cursor: pointer;
}
.nav-tabs .open .dropdown-toggle,
.nav-pills .open .dropdown-toggle,
.nav > li.dropdown.open.active > a:hover {
color: #ffffff;
background-color: #999999;
border-color: #999999;
}
.nav li.dropdown.open .caret,
.nav li.dropdown.open.active .caret,
.nav li.dropdown.open a:hover .caret {
border-top-color: #ffffff;
border-bottom-color: #ffffff;
opacity: 1;
filter: alpha(opacity=100);
}
.tabs-stacked .open > a:hover {
border-color: #999999;
}
.tabbable {
*zoom: 1;
}
.tabbable:before,
.tabbable:after {
display: table;
line-height: 0;
content: "";
}
.tabbable:after {
clear: both;
}
.tab-content {
overflow: auto;
}
.tabs-below > .nav-tabs,
.tabs-right > .nav-tabs,
.tabs-left > .nav-tabs {
border-bottom: 0;
}
.tab-content > .tab-pane,
.pill-content > .pill-pane {
display: none;
}
.tab-content > .active,
.pill-content > .active {
display: block;
}
.tabs-below > .nav-tabs {
border-top: 1px solid #ddd;
}
.tabs-below > .nav-tabs > li {
margin-top: -1px;
margin-bottom: 0;
}
.tabs-below > .nav-tabs > li > a {
-webkit-border-radius: 0 0 4px 4px;
-moz-border-radius: 0 0 4px 4px;
border-radius: 0 0 4px 4px;
}
.tabs-below > .nav-tabs > li > a:hover {
border-top-color: #ddd;
border-bottom-color: transparent;
}
.tabs-below > .nav-tabs > .active > a,
.tabs-below > .nav-tabs > .active > a:hover {
border-color: transparent #ddd #ddd #ddd;
}
.tabs-left > .nav-tabs > li,
.tabs-right > .nav-tabs > li {
float: none;
}
.tabs-left > .nav-tabs > li > a,
.tabs-right > .nav-tabs > li > a {
min-width: 74px;
margin-right: 0;
margin-bottom: 3px;
}
.tabs-left > .nav-tabs {
float: left;
margin-right: 19px;
border-right: 1px solid #ddd;
}
.tabs-left > .nav-tabs > li > a {
margin-right: -1px;
-webkit-border-radius: 4px 0 0 4px;
-moz-border-radius: 4px 0 0 4px;
border-radius: 4px 0 0 4px;
}
.tabs-left > .nav-tabs > li > a:hover {
border-color: #eeeeee #dddddd #eeeeee #eeeeee;
}
.tabs-left > .nav-tabs .active > a,
.tabs-left > .nav-tabs .active > a:hover {
border-color: #ddd transparent #ddd #ddd;
*border-right-color: #ffffff;
}
.tabs-right > .nav-tabs {
float: right;
margin-left: 19px;
border-left: 1px solid #ddd;
}
.tabs-right > .nav-tabs > li > a {
margin-left: -1px;
-webkit-border-radius: 0 4px 4px 0;
-moz-border-radius: 0 4px 4px 0;
border-radius: 0 4px 4px 0;
}
.tabs-right > .nav-tabs > li > a:hover {
border-color: #eeeeee #eeeeee #eeeeee #dddddd;
}
.tabs-right > .nav-tabs .active > a,
.tabs-right > .nav-tabs .active > a:hover {
border-color: #ddd #ddd #ddd transparent;
*border-left-color: #ffffff;
}
.nav > .disabled > a {
color: #999999;
}
.nav > .disabled > a:hover {
text-decoration: none;
cursor: default;
background-color: transparent;
}
.navbar {
*position: relative;
*z-index: 2;
margin-bottom: 20px;
overflow: visible;
}
.navbar-inner {
min-height: 40px;
padding-right: 20px;
padding-left: 20px;
background-color: #fafafa;
background-image: -moz-linear-gradient(top, #ffffff, #f2f2f2);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#f2f2f2));
background-image: -webkit-linear-gradient(top, #ffffff, #f2f2f2);
background-image: -o-linear-gradient(top, #ffffff, #f2f2f2);
background-image: linear-gradient(to bottom, #ffffff, #f2f2f2);
background-repeat: repeat-x;
border: 1px solid #d4d4d4;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff2f2f2', GradientType=0);
*zoom: 1;
-webkit-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
-moz-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
}
.navbar-inner:before,
.navbar-inner:after {
display: table;
line-height: 0;
content: "";
}
.navbar-inner:after {
clear: both;
}
.navbar .container {
width: auto;
}
.nav-collapse.collapse {
height: auto;
overflow: visible;
}
.navbar .brand {
display: block;
float: left;
padding: 10px 20px 10px;
margin-left: -20px;
font-size: 20px;
font-weight: 200;
color: #777777;
text-shadow: 0 1px 0 #ffffff;
}
.navbar .brand:hover {
text-decoration: none;
}
.navbar-text {
margin-bottom: 0;
line-height: 40px;
color: #777777;
}
.navbar-link {
color: #777777;
}
.navbar-link:hover {
color: #333333;
}
.navbar .divider-vertical {
height: 40px;
margin: 0 9px;
border-right: 1px solid #ffffff;
border-left: 1px solid #f2f2f2;
}
.navbar .btn,
.navbar .btn-group {
margin-top: 5px;
}
.navbar .btn-group .btn,
.navbar .input-prepend .btn,
.navbar .input-append .btn {
margin-top: 0;
}
.navbar-form {
margin-bottom: 0;
*zoom: 1;
}
.navbar-form:before,
.navbar-form:after {
display: table;
line-height: 0;
content: "";
}
.navbar-form:after {
clear: both;
}
.navbar-form input,
.navbar-form select,
.navbar-form .radio,
.navbar-form .checkbox {
margin-top: 5px;
}
.navbar-form input,
.navbar-form select,
.navbar-form .btn {
display: inline-block;
margin-bottom: 0;
}
.navbar-form input[type="image"],
.navbar-form input[type="checkbox"],
.navbar-form input[type="radio"] {
margin-top: 3px;
}
.navbar-form .input-append,
.navbar-form .input-prepend {
margin-top: 5px;
white-space: nowrap;
}
.navbar-form .input-append input,
.navbar-form .input-prepend input {
margin-top: 0;
}
.navbar-search {
position: relative;
float: left;
margin-top: 5px;
margin-bottom: 0;
}
.navbar-search .search-query {
padding: 4px 14px;
margin-bottom: 0;
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 13px;
font-weight: normal;
line-height: 1;
-webkit-border-radius: 15px;
-moz-border-radius: 15px;
border-radius: 15px;
}
.navbar-static-top {
position: static;
margin-bottom: 0;
}
.navbar-static-top .navbar-inner {
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.navbar-fixed-top,
.navbar-fixed-bottom {
position: fixed;
right: 0;
left: 0;
z-index: 1030;
margin-bottom: 0;
}
.navbar-fixed-top .navbar-inner,
.navbar-static-top .navbar-inner {
border-width: 0 0 1px;
}
.navbar-fixed-bottom .navbar-inner {
border-width: 1px 0 0;
}
.navbar-fixed-top .navbar-inner,
.navbar-fixed-bottom .navbar-inner {
padding-right: 0;
padding-left: 0;
-webkit-border-radius: 0;
-moz-border-radius: 0;
border-radius: 0;
}
.navbar-static-top .container,
.navbar-fixed-top .container,
.navbar-fixed-bottom .container {
width: 940px;
}
.navbar-fixed-top {
top: 0;
}
.navbar-fixed-top .navbar-inner,
.navbar-static-top .navbar-inner {
-webkit-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
-moz-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
}
.navbar-fixed-bottom {
bottom: 0;
}
.navbar-fixed-bottom .navbar-inner {
-webkit-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
-moz-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
}
.navbar .nav {
position: relative;
left: 0;
display: block;
float: left;
margin: 0 10px 0 0;
}
.navbar .nav.pull-right {
float: right;
margin-right: 0;
}
.navbar .nav > li {
float: left;
}
.navbar .nav > li > a {
float: none;
padding: 10px 15px 10px;
color: #777777;
text-decoration: none;
text-shadow: 0 1px 0 #ffffff;
}
.navbar .nav .dropdown-toggle .caret {
margin-top: 8px;
}
.navbar .nav > li > a:focus,
.navbar .nav > li > a:hover {
color: #333333;
text-decoration: none;
background-color: transparent;
}
.navbar .nav > .active > a,
.navbar .nav > .active > a:hover,
.navbar .nav > .active > a:focus {
color: #555555;
text-decoration: none;
background-color: #e5e5e5;
-webkit-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
-moz-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
}
.navbar .btn-navbar {
display: none;
float: right;
padding: 7px 10px;
margin-right: 5px;
margin-left: 5px;
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #ededed;
*background-color: #e5e5e5;
background-image: -moz-linear-gradient(top, #f2f2f2, #e5e5e5);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f2f2f2), to(#e5e5e5));
background-image: -webkit-linear-gradient(top, #f2f2f2, #e5e5e5);
background-image: -o-linear-gradient(top, #f2f2f2, #e5e5e5);
background-image: linear-gradient(to bottom, #f2f2f2, #e5e5e5);
background-repeat: repeat-x;
border-color: #e5e5e5 #e5e5e5 #bfbfbf;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2f2f2', endColorstr='#ffe5e5e5', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
-moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
}
.navbar .btn-navbar:hover,
.navbar .btn-navbar:active,
.navbar .btn-navbar.active,
.navbar .btn-navbar.disabled,
.navbar .btn-navbar[disabled] {
color: #ffffff;
background-color: #e5e5e5;
*background-color: #d9d9d9;
}
.navbar .btn-navbar:active,
.navbar .btn-navbar.active {
background-color: #cccccc \9;
}
.navbar .btn-navbar .icon-bar {
display: block;
width: 18px;
height: 2px;
background-color: #f5f5f5;
-webkit-border-radius: 1px;
-moz-border-radius: 1px;
border-radius: 1px;
-webkit-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
-moz-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
}
.btn-navbar .icon-bar + .icon-bar {
margin-top: 3px;
}
.navbar .nav > li > .dropdown-menu:before {
position: absolute;
top: -7px;
left: 9px;
display: inline-block;
border-right: 7px solid transparent;
border-bottom: 7px solid #ccc;
border-left: 7px solid transparent;
border-bottom-color: rgba(0, 0, 0, 0.2);
content: '';
}
.navbar .nav > li > .dropdown-menu:after {
position: absolute;
top: -6px;
left: 10px;
display: inline-block;
border-right: 6px solid transparent;
border-bottom: 6px solid #ffffff;
border-left: 6px solid transparent;
content: '';
}
.navbar-fixed-bottom .nav > li > .dropdown-menu:before {
top: auto;
bottom: -7px;
border-top: 7px solid #ccc;
border-bottom: 0;
border-top-color: rgba(0, 0, 0, 0.2);
}
.navbar-fixed-bottom .nav > li > .dropdown-menu:after {
top: auto;
bottom: -6px;
border-top: 6px solid #ffffff;
border-bottom: 0;
}
.navbar .nav li.dropdown > a:hover .caret {
border-top-color: #555555;
border-bottom-color: #555555;
}
.navbar .nav li.dropdown.open > .dropdown-toggle,
.navbar .nav li.dropdown.active > .dropdown-toggle,
.navbar .nav li.dropdown.open.active > .dropdown-toggle {
color: #555555;
background-color: #e5e5e5;
}
.navbar .nav li.dropdown > .dropdown-toggle .caret {
border-top-color: #777777;
border-bottom-color: #777777;
}
.navbar .nav li.dropdown.open > .dropdown-toggle .caret,
.navbar .nav li.dropdown.active > .dropdown-toggle .caret,
.navbar .nav li.dropdown.open.active > .dropdown-toggle .caret {
border-top-color: #555555;
border-bottom-color: #555555;
}
.navbar .pull-right > li > .dropdown-menu,
.navbar .nav > li > .dropdown-menu.pull-right {
right: 0;
left: auto;
}
.navbar .pull-right > li > .dropdown-menu:before,
.navbar .nav > li > .dropdown-menu.pull-right:before {
right: 12px;
left: auto;
}
.navbar .pull-right > li > .dropdown-menu:after,
.navbar .nav > li > .dropdown-menu.pull-right:after {
right: 13px;
left: auto;
}
.navbar .pull-right > li > .dropdown-menu .dropdown-menu,
.navbar .nav > li > .dropdown-menu.pull-right .dropdown-menu {
right: 100%;
left: auto;
margin-right: -1px;
margin-left: 0;
-webkit-border-radius: 6px 0 6px 6px;
-moz-border-radius: 6px 0 6px 6px;
border-radius: 6px 0 6px 6px;
}
.navbar-inverse .navbar-inner {
background-color: #1b1b1b;
background-image: -moz-linear-gradient(top, #222222, #111111);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#222222), to(#111111));
background-image: -webkit-linear-gradient(top, #222222, #111111);
background-image: -o-linear-gradient(top, #222222, #111111);
background-image: linear-gradient(to bottom, #222222, #111111);
background-repeat: repeat-x;
border-color: #252525;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff222222', endColorstr='#ff111111', GradientType=0);
}
.navbar-inverse .brand,
.navbar-inverse .nav > li > a {
color: #999999;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
}
.navbar-inverse .brand:hover,
.navbar-inverse .nav > li > a:hover {
color: #ffffff;
}
.navbar-inverse .brand {
color: #999999;
}
.navbar-inverse .navbar-text {
color: #999999;
}
.navbar-inverse .nav > li > a:focus,
.navbar-inverse .nav > li > a:hover {
color: #ffffff;
background-color: transparent;
}
.navbar-inverse .nav .active > a,
.navbar-inverse .nav .active > a:hover,
.navbar-inverse .nav .active > a:focus {
color: #ffffff;
background-color: #111111;
}
.navbar-inverse .navbar-link {
color: #999999;
}
.navbar-inverse .navbar-link:hover {
color: #ffffff;
}
.navbar-inverse .divider-vertical {
border-right-color: #222222;
border-left-color: #111111;
}
.navbar-inverse .nav li.dropdown.open > .dropdown-toggle,
.navbar-inverse .nav li.dropdown.active > .dropdown-toggle,
.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle {
color: #ffffff;
background-color: #111111;
}
.navbar-inverse .nav li.dropdown > a:hover .caret {
border-top-color: #ffffff;
border-bottom-color: #ffffff;
}
.navbar-inverse .nav li.dropdown > .dropdown-toggle .caret {
border-top-color: #999999;
border-bottom-color: #999999;
}
.navbar-inverse .nav li.dropdown.open > .dropdown-toggle .caret,
.navbar-inverse .nav li.dropdown.active > .dropdown-toggle .caret,
.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle .caret {
border-top-color: #ffffff;
border-bottom-color: #ffffff;
}
.navbar-inverse .navbar-search .search-query {
color: #ffffff;
background-color: #515151;
border-color: #111111;
-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
-moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
-webkit-transition: none;
-moz-transition: none;
-o-transition: none;
transition: none;
}
.navbar-inverse .navbar-search .search-query:-moz-placeholder {
color: #cccccc;
}
.navbar-inverse .navbar-search .search-query:-ms-input-placeholder {
color: #cccccc;
}
.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder {
color: #cccccc;
}
.navbar-inverse .navbar-search .search-query:focus,
.navbar-inverse .navbar-search .search-query.focused {
padding: 5px 15px;
color: #333333;
text-shadow: 0 1px 0 #ffffff;
background-color: #ffffff;
border: 0;
outline: 0;
-webkit-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
-moz-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
}
.navbar-inverse .btn-navbar {
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #0e0e0e;
*background-color: #040404;
background-image: -moz-linear-gradient(top, #151515, #040404);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#151515), to(#040404));
background-image: -webkit-linear-gradient(top, #151515, #040404);
background-image: -o-linear-gradient(top, #151515, #040404);
background-image: linear-gradient(to bottom, #151515, #040404);
background-repeat: repeat-x;
border-color: #040404 #040404 #000000;
border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff151515', endColorstr='#ff040404', GradientType=0);
filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
}
.navbar-inverse .btn-navbar:hover,
.navbar-inverse .btn-navbar:active,
.navbar-inverse .btn-navbar.active,
.navbar-inverse .btn-navbar.disabled,
.navbar-inverse .btn-navbar[disabled] {
color: #ffffff;
background-color: #040404;
*background-color: #000000;
}
.navbar-inverse .btn-navbar:active,
.navbar-inverse .btn-navbar.active {
background-color: #000000 \9;
}
.breadcrumb {
padding: 8px 15px;
margin: 0 0 20px;
list-style: none;
background-color: #f5f5f5;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.breadcrumb > li {
display: inline-block;
*display: inline;
text-shadow: 0 1px 0 #ffffff;
*zoom: 1;
}
.breadcrumb > li > .divider {
padding: 0 5px;
color: #ccc;
}
.breadcrumb > .active {
color: #999999;
}
.pagination {
margin: 20px 0;
}
.pagination ul {
display: inline-block;
*display: inline;
margin-bottom: 0;
margin-left: 0;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
*zoom: 1;
-webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
-moz-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
}
.pagination ul > li {
display: inline;
}
.pagination ul > li > a,
.pagination ul > li > span {
float: left;
padding: 4px 12px;
line-height: 20px;
text-decoration: none;
background-color: #ffffff;
border: 1px solid #dddddd;
border-left-width: 0;
}
.pagination ul > li > a:hover,
.pagination ul > .active > a,
.pagination ul > .active > span {
background-color: #f5f5f5;
}
.pagination ul > .active > a,
.pagination ul > .active > span {
color: #999999;
cursor: default;
}
.pagination ul > .disabled > span,
.pagination ul > .disabled > a,
.pagination ul > .disabled > a:hover {
color: #999999;
cursor: default;
background-color: transparent;
}
.pagination ul > li:first-child > a,
.pagination ul > li:first-child > span {
border-left-width: 1px;
-webkit-border-bottom-left-radius: 4px;
border-bottom-left-radius: 4px;
-webkit-border-top-left-radius: 4px;
border-top-left-radius: 4px;
-moz-border-radius-bottomleft: 4px;
-moz-border-radius-topleft: 4px;
}
.pagination ul > li:last-child > a,
.pagination ul > li:last-child > span {
-webkit-border-top-right-radius: 4px;
border-top-right-radius: 4px;
-webkit-border-bottom-right-radius: 4px;
border-bottom-right-radius: 4px;
-moz-border-radius-topright: 4px;
-moz-border-radius-bottomright: 4px;
}
.pagination-centered {
text-align: center;
}
.pagination-right {
text-align: right;
}
.pagination-large ul > li > a,
.pagination-large ul > li > span {
padding: 11px 19px;
font-size: 17.5px;
}
.pagination-large ul > li:first-child > a,
.pagination-large ul > li:first-child > span {
-webkit-border-bottom-left-radius: 6px;
border-bottom-left-radius: 6px;
-webkit-border-top-left-radius: 6px;
border-top-left-radius: 6px;
-moz-border-radius-bottomleft: 6px;
-moz-border-radius-topleft: 6px;
}
.pagination-large ul > li:last-child > a,
.pagination-large ul > li:last-child > span {
-webkit-border-top-right-radius: 6px;
border-top-right-radius: 6px;
-webkit-border-bottom-right-radius: 6px;
border-bottom-right-radius: 6px;
-moz-border-radius-topright: 6px;
-moz-border-radius-bottomright: 6px;
}
.pagination-mini ul > li:first-child > a,
.pagination-small ul > li:first-child > a,
.pagination-mini ul > li:first-child > span,
.pagination-small ul > li:first-child > span {
-webkit-border-bottom-left-radius: 3px;
border-bottom-left-radius: 3px;
-webkit-border-top-left-radius: 3px;
border-top-left-radius: 3px;
-moz-border-radius-bottomleft: 3px;
-moz-border-radius-topleft: 3px;
}
.pagination-mini ul > li:last-child > a,
.pagination-small ul > li:last-child > a,
.pagination-mini ul > li:last-child > span,
.pagination-small ul > li:last-child > span {
-webkit-border-top-right-radius: 3px;
border-top-right-radius: 3px;
-webkit-border-bottom-right-radius: 3px;
border-bottom-right-radius: 3px;
-moz-border-radius-topright: 3px;
-moz-border-radius-bottomright: 3px;
}
.pagination-small ul > li > a,
.pagination-small ul > li > span {
padding: 2px 10px;
font-size: 11.9px;
}
.pagination-mini ul > li > a,
.pagination-mini ul > li > span {
padding: 0 6px;
font-size: 10.5px;
}
.pager {
margin: 20px 0;
text-align: center;
list-style: none;
*zoom: 1;
}
.pager:before,
.pager:after {
display: table;
line-height: 0;
content: "";
}
.pager:after {
clear: both;
}
.pager li {
display: inline;
}
.pager li > a,
.pager li > span {
display: inline-block;
padding: 5px 14px;
background-color: #fff;
border: 1px solid #ddd;
-webkit-border-radius: 15px;
-moz-border-radius: 15px;
border-radius: 15px;
}
.pager li > a:hover {
text-decoration: none;
background-color: #f5f5f5;
}
.pager .next > a,
.pager .next > span {
float: right;
}
.pager .previous > a,
.pager .previous > span {
float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > span {
color: #999999;
cursor: default;
background-color: #fff;
}
.modal-backdrop {
position: fixed;
top: 0;
right: 0;
bottom: 0;
left: 0;
z-index: 1040;
background-color: #000000;
}
.modal-backdrop.fade {
opacity: 0;
}
.modal-backdrop,
.modal-backdrop.fade.in {
opacity: 0.8;
filter: alpha(opacity=80);
}
.modal {
position: fixed;
top: 10%;
left: 50%;
z-index: 1050;
width: 560px;
margin-left: -280px;
background-color: #ffffff;
border: 1px solid #999;
border: 1px solid rgba(0, 0, 0, 0.3);
*border: 1px solid #999;
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
outline: none;
-webkit-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
-moz-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
-webkit-background-clip: padding-box;
-moz-background-clip: padding-box;
background-clip: padding-box;
}
.modal.fade {
top: -25%;
-webkit-transition: opacity 0.3s linear, top 0.3s ease-out;
-moz-transition: opacity 0.3s linear, top 0.3s ease-out;
-o-transition: opacity 0.3s linear, top 0.3s ease-out;
transition: opacity 0.3s linear, top 0.3s ease-out;
}
.modal.fade.in {
top: 10%;
}
.modal-header {
padding: 9px 15px;
border-bottom: 1px solid #eee;
}
.modal-header .close {
margin-top: 2px;
}
.modal-header h3 {
margin: 0;
line-height: 30px;
}
.modal-body {
position: relative;
max-height: 400px;
padding: 15px;
overflow-y: auto;
}
.modal-form {
margin-bottom: 0;
}
.modal-footer {
padding: 14px 15px 15px;
margin-bottom: 0;
text-align: right;
background-color: #f5f5f5;
border-top: 1px solid #ddd;
-webkit-border-radius: 0 0 6px 6px;
-moz-border-radius: 0 0 6px 6px;
border-radius: 0 0 6px 6px;
*zoom: 1;
-webkit-box-shadow: inset 0 1px 0 #ffffff;
-moz-box-shadow: inset 0 1px 0 #ffffff;
box-shadow: inset 0 1px 0 #ffffff;
}
.modal-footer:before,
.modal-footer:after {
display: table;
line-height: 0;
content: "";
}
.modal-footer:after {
clear: both;
}
.modal-footer .btn + .btn {
margin-bottom: 0;
margin-left: 5px;
}
.modal-footer .btn-group .btn + .btn {
margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
margin-left: 0;
}
.tooltip {
position: absolute;
z-index: 1030;
display: block;
padding: 5px;
font-size: 11px;
opacity: 0;
filter: alpha(opacity=0);
visibility: visible;
}
.tooltip.in {
opacity: 0.8;
filter: alpha(opacity=80);
}
.tooltip.top {
margin-top: -3px;
}
.tooltip.right {
margin-left: 3px;
}
.tooltip.bottom {
margin-top: 3px;
}
.tooltip.left {
margin-left: -3px;
}
.tooltip-inner {
max-width: 200px;
padding: 3px 8px;
color: #ffffff;
text-align: center;
text-decoration: none;
background-color: #000000;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.tooltip-arrow {
position: absolute;
width: 0;
height: 0;
border-color: transparent;
border-style: solid;
}
.tooltip.top .tooltip-arrow {
bottom: 0;
left: 50%;
margin-left: -5px;
border-top-color: #000000;
border-width: 5px 5px 0;
}
.tooltip.right .tooltip-arrow {
top: 50%;
left: 0;
margin-top: -5px;
border-right-color: #000000;
border-width: 5px 5px 5px 0;
}
.tooltip.left .tooltip-arrow {
top: 50%;
right: 0;
margin-top: -5px;
border-left-color: #000000;
border-width: 5px 0 5px 5px;
}
.tooltip.bottom .tooltip-arrow {
top: 0;
left: 50%;
margin-left: -5px;
border-bottom-color: #000000;
border-width: 0 5px 5px;
}
.popover {
position: absolute;
top: 0;
left: 0;
z-index: 1010;
display: none;
width: 236px;
padding: 1px;
text-align: left;
white-space: normal;
background-color: #ffffff;
border: 1px solid #ccc;
border: 1px solid rgba(0, 0, 0, 0.2);
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
-webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
-moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
-webkit-background-clip: padding-box;
-moz-background-clip: padding;
background-clip: padding-box;
}
.popover.top {
margin-top: -10px;
}
.popover.right {
margin-left: 10px;
}
.popover.bottom {
margin-top: 10px;
}
.popover.left {
margin-left: -10px;
}
.popover-title {
padding: 8px 14px;
margin: 0;
font-size: 14px;
font-weight: normal;
line-height: 18px;
background-color: #f7f7f7;
border-bottom: 1px solid #ebebeb;
-webkit-border-radius: 5px 5px 0 0;
-moz-border-radius: 5px 5px 0 0;
border-radius: 5px 5px 0 0;
}
.popover-content {
padding: 9px 14px;
}
.popover .arrow,
.popover .arrow:after {
position: absolute;
display: block;
width: 0;
height: 0;
border-color: transparent;
border-style: solid;
}
.popover .arrow {
border-width: 11px;
}
.popover .arrow:after {
border-width: 10px;
content: "";
}
.popover.top .arrow {
bottom: -11px;
left: 50%;
margin-left: -11px;
border-top-color: #999;
border-top-color: rgba(0, 0, 0, 0.25);
border-bottom-width: 0;
}
.popover.top .arrow:after {
bottom: 1px;
margin-left: -10px;
border-top-color: #ffffff;
border-bottom-width: 0;
}
.popover.right .arrow {
top: 50%;
left: -11px;
margin-top: -11px;
border-right-color: #999;
border-right-color: rgba(0, 0, 0, 0.25);
border-left-width: 0;
}
.popover.right .arrow:after {
bottom: -10px;
left: 1px;
border-right-color: #ffffff;
border-left-width: 0;
}
.popover.bottom .arrow {
top: -11px;
left: 50%;
margin-left: -11px;
border-bottom-color: #999;
border-bottom-color: rgba(0, 0, 0, 0.25);
border-top-width: 0;
}
.popover.bottom .arrow:after {
top: 1px;
margin-left: -10px;
border-bottom-color: #ffffff;
border-top-width: 0;
}
.popover.left .arrow {
top: 50%;
right: -11px;
margin-top: -11px;
border-left-color: #999;
border-left-color: rgba(0, 0, 0, 0.25);
border-right-width: 0;
}
.popover.left .arrow:after {
right: 1px;
bottom: -10px;
border-left-color: #ffffff;
border-right-width: 0;
}
.thumbnails {
margin-left: -20px;
list-style: none;
*zoom: 1;
}
.thumbnails:before,
.thumbnails:after {
display: table;
line-height: 0;
content: "";
}
.thumbnails:after {
clear: both;
}
.row-fluid .thumbnails {
margin-left: 0;
}
.thumbnails > li {
float: left;
margin-bottom: 20px;
margin-left: 20px;
}
.thumbnail {
display: block;
padding: 4px;
line-height: 20px;
border: 1px solid #ddd;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
-webkit-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
-moz-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
-webkit-transition: all 0.2s ease-in-out;
-moz-transition: all 0.2s ease-in-out;
-o-transition: all 0.2s ease-in-out;
transition: all 0.2s ease-in-out;
}
a.thumbnail:hover {
border-color: #0088cc;
-webkit-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
-moz-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
}
.thumbnail > img {
display: block;
max-width: 100%;
margin-right: auto;
margin-left: auto;
}
.thumbnail .caption {
padding: 9px;
color: #555555;
}
.media,
.media-body {
overflow: hidden;
*overflow: visible;
zoom: 1;
}
.media,
.media .media {
margin-top: 15px;
}
.media:first-child {
margin-top: 0;
}
.media-object {
display: block;
}
.media-heading {
margin: 0 0 5px;
}
.media .pull-left {
margin-right: 10px;
}
.media .pull-right {
margin-left: 10px;
}
.media-list {
margin-left: 0;
list-style: none;
}
.label,
.badge {
display: inline-block;
padding: 2px 4px;
font-size: 11.844px;
font-weight: bold;
line-height: 14px;
color: #ffffff;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
white-space: nowrap;
vertical-align: baseline;
background-color: #999999;
}
.label {
-webkit-border-radius: 3px;
-moz-border-radius: 3px;
border-radius: 3px;
}
.badge {
padding-right: 9px;
padding-left: 9px;
-webkit-border-radius: 9px;
-moz-border-radius: 9px;
border-radius: 9px;
}
.label:empty,
.badge:empty {
display: none;
}
a.label:hover,
a.badge:hover {
color: #ffffff;
text-decoration: none;
cursor: pointer;
}
.label-important,
.badge-important {
background-color: #b94a48;
}
.label-important[href],
.badge-important[href] {
background-color: #953b39;
}
.label-warning,
.badge-warning {
background-color: #f89406;
}
.label-warning[href],
.badge-warning[href] {
background-color: #c67605;
}
.label-success,
.badge-success {
background-color: #468847;
}
.label-success[href],
.badge-success[href] {
background-color: #356635;
}
.label-info,
.badge-info {
background-color: #3a87ad;
}
.label-info[href],
.badge-info[href] {
background-color: #2d6987;
}
.label-inverse,
.badge-inverse {
background-color: #333333;
}
.label-inverse[href],
.badge-inverse[href] {
background-color: #1a1a1a;
}
.btn .label,
.btn .badge {
position: relative;
top: -1px;
}
.btn-mini .label,
.btn-mini .badge {
top: 0;
}
@-webkit-keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
@-moz-keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
@-ms-keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
@-o-keyframes progress-bar-stripes {
from {
background-position: 0 0;
}
to {
background-position: 40px 0;
}
}
@keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
.progress {
height: 20px;
margin-bottom: 20px;
overflow: hidden;
background-color: #f7f7f7;
background-image: -moz-linear-gradient(top, #f5f5f5, #f9f9f9);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f5f5f5), to(#f9f9f9));
background-image: -webkit-linear-gradient(top, #f5f5f5, #f9f9f9);
background-image: -o-linear-gradient(top, #f5f5f5, #f9f9f9);
background-image: linear-gradient(to bottom, #f5f5f5, #f9f9f9);
background-repeat: repeat-x;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#fff9f9f9', GradientType=0);
-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
-moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress .bar {
float: left;
width: 0;
height: 100%;
font-size: 12px;
color: #ffffff;
text-align: center;
text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
background-color: #0e90d2;
background-image: -moz-linear-gradient(top, #149bdf, #0480be);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#149bdf), to(#0480be));
background-image: -webkit-linear-gradient(top, #149bdf, #0480be);
background-image: -o-linear-gradient(top, #149bdf, #0480be);
background-image: linear-gradient(to bottom, #149bdf, #0480be);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff149bdf', endColorstr='#ff0480be', GradientType=0);
-webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
-moz-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
-webkit-transition: width 0.6s ease;
-moz-transition: width 0.6s ease;
-o-transition: width 0.6s ease;
transition: width 0.6s ease;
}
.progress .bar + .bar {
-webkit-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
-moz-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
}
.progress-striped .bar {
background-color: #149bdf;
background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
-webkit-background-size: 40px 40px;
-moz-background-size: 40px 40px;
-o-background-size: 40px 40px;
background-size: 40px 40px;
}
.progress.active .bar {
-webkit-animation: progress-bar-stripes 2s linear infinite;
-moz-animation: progress-bar-stripes 2s linear infinite;
-ms-animation: progress-bar-stripes 2s linear infinite;
-o-animation: progress-bar-stripes 2s linear infinite;
animation: progress-bar-stripes 2s linear infinite;
}
.progress-danger .bar,
.progress .bar-danger {
background-color: #dd514c;
background-image: -moz-linear-gradient(top, #ee5f5b, #c43c35);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#c43c35));
background-image: -webkit-linear-gradient(top, #ee5f5b, #c43c35);
background-image: -o-linear-gradient(top, #ee5f5b, #c43c35);
background-image: linear-gradient(to bottom, #ee5f5b, #c43c35);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffc43c35', GradientType=0);
}
.progress-danger.progress-striped .bar,
.progress-striped .bar-danger {
background-color: #ee5f5b;
background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-success .bar,
.progress .bar-success {
background-color: #5eb95e;
background-image: -moz-linear-gradient(top, #62c462, #57a957);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#57a957));
background-image: -webkit-linear-gradient(top, #62c462, #57a957);
background-image: -o-linear-gradient(top, #62c462, #57a957);
background-image: linear-gradient(to bottom, #62c462, #57a957);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff57a957', GradientType=0);
}
.progress-success.progress-striped .bar,
.progress-striped .bar-success {
background-color: #62c462;
background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-info .bar,
.progress .bar-info {
background-color: #4bb1cf;
background-image: -moz-linear-gradient(top, #5bc0de, #339bb9);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#339bb9));
background-image: -webkit-linear-gradient(top, #5bc0de, #339bb9);
background-image: -o-linear-gradient(top, #5bc0de, #339bb9);
background-image: linear-gradient(to bottom, #5bc0de, #339bb9);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff339bb9', GradientType=0);
}
.progress-info.progress-striped .bar,
.progress-striped .bar-info {
background-color: #5bc0de;
background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-warning .bar,
.progress .bar-warning {
background-color: #faa732;
background-image: -moz-linear-gradient(top, #fbb450, #f89406);
background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));
background-image: -webkit-linear-gradient(top, #fbb450, #f89406);
background-image: -o-linear-gradient(top, #fbb450, #f89406);
background-image: linear-gradient(to bottom, #fbb450, #f89406);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);
}
.progress-warning.progress-striped .bar,
.progress-striped .bar-warning {
background-color: #fbb450;
background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.accordion {
margin-bottom: 20px;
}
.accordion-group {
margin-bottom: 2px;
border: 1px solid #e5e5e5;
-webkit-border-radius: 4px;
-moz-border-radius: 4px;
border-radius: 4px;
}
.accordion-heading {
border-bottom: 0;
}
.accordion-heading .accordion-toggle {
display: block;
padding: 8px 15px;
}
.accordion-toggle {
cursor: pointer;
}
.accordion-inner {
padding: 9px 15px;
border-top: 1px solid #e5e5e5;
}
.carousel {
position: relative;
margin-bottom: 20px;
line-height: 1;
}
.carousel-inner {
position: relative;
width: 100%;
overflow: hidden;
}
.carousel-inner > .item {
position: relative;
display: none;
-webkit-transition: 0.6s ease-in-out left;
-moz-transition: 0.6s ease-in-out left;
-o-transition: 0.6s ease-in-out left;
transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img {
display: block;
line-height: 1;
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
display: block;
}
.carousel-inner > .active {
left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
position: absolute;
top: 0;
width: 100%;
}
.carousel-inner > .next {
left: 100%;
}
.carousel-inner > .prev {
left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
left: 0;
}
.carousel-inner > .active.left {
left: -100%;
}
.carousel-inner > .active.right {
left: 100%;
}
.carousel-control {
position: absolute;
top: 40%;
left: 15px;
width: 40px;
height: 40px;
margin-top: -20px;
font-size: 60px;
font-weight: 100;
line-height: 30px;
color: #ffffff;
text-align: center;
background: #222222;
border: 3px solid #ffffff;
-webkit-border-radius: 23px;
-moz-border-radius: 23px;
border-radius: 23px;
opacity: 0.5;
filter: alpha(opacity=50);
}
.carousel-control.right {
right: 15px;
left: auto;
}
.carousel-control:hover {
color: #ffffff;
text-decoration: none;
opacity: 0.9;
filter: alpha(opacity=90);
}
.carousel-caption {
position: absolute;
right: 0;
bottom: 0;
left: 0;
padding: 15px;
background: #333333;
background: rgba(0, 0, 0, 0.75);
}
.carousel-caption h4,
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line-height: 20px;
color: #ffffff;
}
.carousel-caption h4 {
margin: 0 0 5px;
}
.carousel-caption p {
margin-bottom: 0;
}
.hero-unit {
padding: 60px;
margin-bottom: 30px;
font-size: 18px;
font-weight: 200;
line-height: 30px;
color: inherit;
background-color: #eeeeee;
-webkit-border-radius: 6px;
-moz-border-radius: 6px;
border-radius: 6px;
}
.hero-unit h1 {
margin-bottom: 0;
font-size: 60px;
line-height: 1;
letter-spacing: -1px;
color: inherit;
}
.hero-unit li {
line-height: 30px;
}
.pull-right {
float: right;
}
.pull-left {
float: left;
}
.hide {
display: none;
}
.show {
display: block;
}
.invisible {
visibility: hidden;
}
.affix {
position: fixed;
} |
Jason-1.4.0a/doc/api/jason/asSyntax/patterns/goal/package-frame.html | lsa-pucrs/jason-ros-releases | <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<title>jason.asSyntax.patterns.goal (Jason - AgentSpeak Java Interpreter)</title>
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<h1 id="modules-statsmodels-stats-weightstats--page-root">Source code for statsmodels.stats.weightstats</h1><div class="highlight"><pre>
<span></span><span class="sd">"""Tests and descriptive statistics with weights</span>
<span class="sd">Created on 2010-09-18</span>
<span class="sd">Author: josef-pktd</span>
<span class="sd">License: BSD (3-clause)</span>
<span class="sd">References</span>
<span class="sd">----------</span>
<span class="sd">SPSS manual</span>
<span class="sd">SAS manual</span>
<span class="sd">This follows in large parts the SPSS manual, which is largely the same as</span>
<span class="sd">the SAS manual with different, simpler notation.</span>
<span class="sd">Freq, Weight in SAS seems redundant since they always show up as product, SPSS</span>
<span class="sd">has only weights.</span>
<span class="sd">Notes</span>
<span class="sd">-----</span>
<span class="sd">This has potential problems with ddof, I started to follow numpy with ddof=0</span>
<span class="sd">by default and users can change it, but this might still mess up the t-tests,</span>
<span class="sd">since the estimates for the standard deviation will be based on the ddof that</span>
<span class="sd">the user chooses.</span>
<span class="sd">- fixed ddof for the meandiff ttest, now matches scipy.stats.ttest_ind</span>
<span class="sd">Note: scipy has now a separate, pooled variance option in ttest, but I have not</span>
<span class="sd">compared yet.</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span>
<span class="kn">from</span> <span class="nn">statsmodels.tools.decorators</span> <span class="kn">import</span> <span class="n">cache_readonly</span>
<div class="viewcode-block" id="DescrStatsW"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.html#statsmodels.stats.weightstats.DescrStatsW">[docs]</a><span class="k">class</span> <span class="nc">DescrStatsW</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Descriptive statistics and tests with weights for case weights</span>
<span class="sd"> Assumes that the data is 1d or 2d with (nobs, nvars) observations in rows,</span>
<span class="sd"> variables in columns, and that the same weight applies to each column.</span>
<span class="sd"> If degrees of freedom correction is used, then weights should add up to the</span>
<span class="sd"> number of observations. ttest also assumes that the sum of weights</span>
<span class="sd"> corresponds to the sample size.</span>
<span class="sd"> This is essentially the same as replicating each observations by its</span>
<span class="sd"> weight, if the weights are integers, often called case or frequency weights.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> data : array_like, 1-D or 2-D</span>
<span class="sd"> dataset</span>
<span class="sd"> weights : None or 1-D ndarray</span>
<span class="sd"> weights for each observation, with same length as zero axis of data</span>
<span class="sd"> ddof : int</span>
<span class="sd"> default ddof=0, degrees of freedom correction used for second moments,</span>
<span class="sd"> var, std, cov, corrcoef.</span>
<span class="sd"> However, statistical tests are independent of `ddof`, based on the</span>
<span class="sd"> standard formulas.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import numpy as np</span>
<span class="sd"> >>> np.random.seed(0)</span>
<span class="sd"> >>> x1_2d = 1.0 + np.random.randn(20, 3)</span>
<span class="sd"> >>> w1 = np.random.randint(1, 4, 20)</span>
<span class="sd"> >>> d1 = DescrStatsW(x1_2d, weights=w1)</span>
<span class="sd"> >>> d1.mean</span>
<span class="sd"> array([ 1.42739844, 1.23174284, 1.083753 ])</span>
<span class="sd"> >>> d1.var</span>
<span class="sd"> array([ 0.94855633, 0.52074626, 1.12309325])</span>
<span class="sd"> >>> d1.std_mean</span>
<span class="sd"> array([ 0.14682676, 0.10878944, 0.15976497])</span>
<span class="sd"> >>> tstat, pval, df = d1.ttest_mean(0)</span>
<span class="sd"> >>> tstat; pval; df</span>
<span class="sd"> array([ 9.72165021, 11.32226471, 6.78342055])</span>
<span class="sd"> array([ 1.58414212e-12, 1.26536887e-14, 2.37623126e-08])</span>
<span class="sd"> 44.0</span>
<span class="sd"> >>> tstat, pval, df = d1.ttest_mean([0, 1, 1])</span>
<span class="sd"> >>> tstat; pval; df</span>
<span class="sd"> array([ 9.72165021, 2.13019609, 0.52422632])</span>
<span class="sd"> array([ 1.58414212e-12, 3.87842808e-02, 6.02752170e-01])</span>
<span class="sd"> 44.0</span>
<span class="sd"> # if weights are integers, then asrepeats can be used</span>
<span class="sd"> >>> x1r = d1.asrepeats()</span>
<span class="sd"> >>> x1r.shape</span>
<span class="sd"> ...</span>
<span class="sd"> >>> stats.ttest_1samp(x1r, [0, 1, 1])</span>
<span class="sd"> ...</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
<span class="k">if</span> <span class="n">weights</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">weights</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
<span class="c1"># TODO: why squeeze?</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">)</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ddof</span> <span class="o">=</span> <span class="n">ddof</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">sum_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Sum of weights"""</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">nobs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""alias for number of observations/cases, equal to sum of weights</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">sum</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""weighted sum of data"""</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">)</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">mean</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""weighted mean of data"""</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">demeaned</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""data with weighted mean subtracted"""</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">mean</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">sumsquares</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""weighted sum of squares of demeaned data"""</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">demeaned</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">)</span>
<span class="c1"># need memoize instead of cache decorator</span>
<div class="viewcode-block" id="DescrStatsW.var_ddof"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.var_ddof.html#statsmodels.stats.weightstats.DescrStatsW.var_ddof">[docs]</a> <span class="k">def</span> <span class="nf">var_ddof</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""variance of data given ddof</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> ddof : int, float</span>
<span class="sd"> degrees of freedom correction, independent of attribute ddof</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> var : float, ndarray</span>
<span class="sd"> variance with denominator ``sum_weights - ddof``</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sumsquares</span> <span class="o">/</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="n">ddof</span><span class="p">)</span></div>
<div class="viewcode-block" id="DescrStatsW.std_ddof"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.std_ddof.html#statsmodels.stats.weightstats.DescrStatsW.std_ddof">[docs]</a> <span class="k">def</span> <span class="nf">std_ddof</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""standard deviation of data with given ddof</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> ddof : int, float</span>
<span class="sd"> degrees of freedom correction, independent of attribute ddof</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> std : float, ndarray</span>
<span class="sd"> standard deviation with denominator ``sum_weights - ddof``</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">var_ddof</span><span class="p">(</span><span class="n">ddof</span><span class="o">=</span><span class="n">ddof</span><span class="p">))</span></div>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""variance with default degrees of freedom correction</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sumsquares</span> <span class="o">/</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">ddof</span><span class="p">)</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">_var</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""variance without degrees of freedom correction</span>
<span class="sd"> used for statistical tests with controlled ddof</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sumsquares</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">std</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""standard deviation with default degrees of freedom correction</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">var</span><span class="p">)</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">cov</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""weighted covariance of data if data is 2 dimensional</span>
<span class="sd"> assumes variables in columns and observations in rows</span>
<span class="sd"> uses default ddof</span>
<span class="sd"> """</span>
<span class="n">cov_</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">demeaned</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">demeaned</span><span class="p">)</span>
<span class="n">cov_</span> <span class="o">/=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">ddof</span>
<span class="k">return</span> <span class="n">cov_</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">corrcoef</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""weighted correlation with default ddof</span>
<span class="sd"> assumes variables in columns and observations in rows</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">cov</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">std</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">std</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">]</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">std_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""standard deviation of weighted mean</span>
<span class="sd"> """</span>
<span class="n">std</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">ddof</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
<span class="c1"># ddof correction, (need copy of std)</span>
<span class="n">std</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">ddof</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">std</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<div class="viewcode-block" id="DescrStatsW.quantile"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.quantile.html#statsmodels.stats.weightstats.DescrStatsW.quantile">[docs]</a> <span class="k">def</span> <span class="nf">quantile</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">probs</span><span class="p">,</span> <span class="n">return_pandas</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Compute quantiles for a weighted sample.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> probs : array_like</span>
<span class="sd"> A vector of probability points at which to calculate the</span>
<span class="sd"> quantiles. Each element of `probs` should fall in [0, 1].</span>
<span class="sd"> return_pandas : bool</span>
<span class="sd"> If True, return value is a Pandas DataFrame or Series.</span>
<span class="sd"> Otherwise returns a ndarray.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> quantiles : Series, DataFrame, or ndarray</span>
<span class="sd"> If `return_pandas` = True, returns one of the following:</span>
<span class="sd"> * data are 1d, `return_pandas` = True: a Series indexed by</span>
<span class="sd"> the probability points.</span>
<span class="sd"> * data are 2d, `return_pandas` = True: a DataFrame with</span>
<span class="sd"> the probability points as row index and the variables</span>
<span class="sd"> as column index.</span>
<span class="sd"> If `return_pandas` = False, returns an ndarray containing the</span>
<span class="sd"> same values as the Series/DataFrame.</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> To compute the quantiles, first, the weights are summed over</span>
<span class="sd"> exact ties yielding distinct data values y_1 < y_2 < ..., and</span>
<span class="sd"> corresponding weights w_1, w_2, .... Let s_j denote the sum</span>
<span class="sd"> of the first j weights, and let W denote the sum of all the</span>
<span class="sd"> weights. For a probability point p, if pW falls strictly</span>
<span class="sd"> between s_j and s_{j+1} then the estimated quantile is</span>
<span class="sd"> y_{j+1}. If pW = s_j then the estimated quantile is (y_j +</span>
<span class="sd"> y_{j+1})/2. If pW < p_1 then the estimated quantile is y_1.</span>
<span class="sd"> References</span>
<span class="sd"> ----------</span>
<span class="sd"> SAS documentation for weighted quantiles:</span>
<span class="sd"> https://support.sas.com/documentation/cdl/en/procstat/63104/HTML/default/viewer.htm#procstat_univariate_sect028.htm</span>
<span class="sd"> """</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">probs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="n">probs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_quantile</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">probs</span><span class="p">)</span>
<span class="k">if</span> <span class="n">return_pandas</span><span class="p">:</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">rslt</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="n">probs</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">vec</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">T</span><span class="p">:</span>
<span class="n">rslt</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_quantile</span><span class="p">(</span><span class="n">vec</span><span class="p">,</span> <span class="n">probs</span><span class="p">))</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">(</span><span class="n">rslt</span><span class="p">)</span>
<span class="k">if</span> <span class="n">return_pandas</span><span class="p">:</span>
<span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"col</span><span class="si">%d</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">j</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">rslt</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])]</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">rslt</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="n">probs</span><span class="p">)</span>
<span class="k">if</span> <span class="n">return_pandas</span><span class="p">:</span>
<span class="n">rslt</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s2">"p"</span>
<span class="k">return</span> <span class="n">rslt</span></div>
<span class="k">def</span> <span class="nf">_quantile</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vec</span><span class="p">,</span> <span class="n">probs</span><span class="p">):</span>
<span class="c1"># Helper function to calculate weighted quantiles for one column.</span>
<span class="c1"># Follows definition from SAS documentation.</span>
<span class="c1"># Returns ndarray</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="c1"># Aggregate over ties</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">)))</span>
<span class="n">df</span><span class="p">[</span><span class="s2">"weights"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span>
<span class="n">df</span><span class="p">[</span><span class="s2">"vec"</span><span class="p">]</span> <span class="o">=</span> <span class="n">vec</span>
<span class="n">dfg</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">"vec"</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">)</span>
<span class="n">weights</span> <span class="o">=</span> <span class="n">dfg</span><span class="o">.</span><span class="n">values</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]</span>
<span class="n">values</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">dfg</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">cweights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">weights</span><span class="p">)</span>
<span class="n">totwt</span> <span class="o">=</span> <span class="n">cweights</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="n">targets</span> <span class="o">=</span> <span class="n">probs</span> <span class="o">*</span> <span class="n">totwt</span>
<span class="n">ii</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">searchsorted</span><span class="p">(</span><span class="n">cweights</span><span class="p">,</span> <span class="n">targets</span><span class="p">)</span>
<span class="n">rslt</span> <span class="o">=</span> <span class="n">values</span><span class="p">[</span><span class="n">ii</span><span class="p">]</span>
<span class="c1"># Exact hits</span>
<span class="n">jj</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">flatnonzero</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">targets</span> <span class="o">-</span> <span class="n">cweights</span><span class="p">[</span><span class="n">ii</span><span class="p">])</span> <span class="o"><</span> <span class="mf">1e-10</span><span class="p">)</span>
<span class="n">jj</span> <span class="o">=</span> <span class="n">jj</span><span class="p">[</span><span class="n">ii</span><span class="p">[</span><span class="n">jj</span><span class="p">]</span> <span class="o"><</span> <span class="nb">len</span><span class="p">(</span><span class="n">cweights</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
<span class="n">rslt</span><span class="p">[</span><span class="n">jj</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">values</span><span class="p">[</span><span class="n">ii</span><span class="p">[</span><span class="n">jj</span><span class="p">]]</span> <span class="o">+</span> <span class="n">values</span><span class="p">[</span><span class="n">ii</span><span class="p">[</span><span class="n">jj</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="mi">2</span>
<span class="k">return</span> <span class="n">rslt</span>
<div class="viewcode-block" id="DescrStatsW.tconfint_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.tconfint_mean.html#statsmodels.stats.weightstats.DescrStatsW.tconfint_mean">[docs]</a> <span class="k">def</span> <span class="nf">tconfint_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">):</span>
<span class="sd">"""two-sided confidence interval for weighted mean of data</span>
<span class="sd"> If the data is 2d, then these are separate confidence intervals</span>
<span class="sd"> for each column.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> alpha : float</span>
<span class="sd"> significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> alternative : str</span>
<span class="sd"> This specifies the alternative hypothesis for the test that</span>
<span class="sd"> corresponds to the confidence interval.</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: mean not equal to value (default)</span>
<span class="sd"> 'larger' : H1: mean larger than value</span>
<span class="sd"> 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower, upper : floats or ndarrays</span>
<span class="sd"> lower and upper bound of confidence interval</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> In a previous version, statsmodels 0.4, alpha was the confidence</span>
<span class="sd"> level, e.g. 0.95</span>
<span class="sd"> """</span>
<span class="c1"># TODO: add asymmetric</span>
<span class="n">dof</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="mi">1</span>
<span class="n">ci</span> <span class="o">=</span> <span class="n">_tconfint_generic</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_mean</span><span class="p">,</span> <span class="n">dof</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">ci</span></div>
<div class="viewcode-block" id="DescrStatsW.zconfint_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.zconfint_mean.html#statsmodels.stats.weightstats.DescrStatsW.zconfint_mean">[docs]</a> <span class="k">def</span> <span class="nf">zconfint_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">):</span>
<span class="sd">"""two-sided confidence interval for weighted mean of data</span>
<span class="sd"> Confidence interval is based on normal distribution.</span>
<span class="sd"> If the data is 2d, then these are separate confidence intervals</span>
<span class="sd"> for each column.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> alpha : float</span>
<span class="sd"> significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> alternative : str</span>
<span class="sd"> This specifies the alternative hypothesis for the test that</span>
<span class="sd"> corresponds to the confidence interval.</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: mean not equal to value (default)</span>
<span class="sd"> 'larger' : H1: mean larger than value</span>
<span class="sd"> 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower, upper : floats or ndarrays</span>
<span class="sd"> lower and upper bound of confidence interval</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> In a previous version, statsmodels 0.4, alpha was the confidence</span>
<span class="sd"> level, e.g. 0.95</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">_zconfint_generic</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_mean</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span><span class="p">)</span></div>
<div class="viewcode-block" id="DescrStatsW.ttest_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.ttest_mean.html#statsmodels.stats.weightstats.DescrStatsW.ttest_mean">[docs]</a> <span class="k">def</span> <span class="nf">ttest_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">):</span>
<span class="sd">"""ttest of Null hypothesis that mean is equal to value.</span>
<span class="sd"> The alternative hypothesis H1 is defined by the following</span>
<span class="sd"> - 'two-sided': H1: mean not equal to value</span>
<span class="sd"> - 'larger' : H1: mean larger than value</span>
<span class="sd"> - 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value : float or array</span>
<span class="sd"> the hypothesized value for the mean</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following:</span>
<span class="sd"> - 'two-sided': H1: mean not equal to value (default)</span>
<span class="sd"> - 'larger' : H1: mean larger than value</span>
<span class="sd"> - 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the t-test</span>
<span class="sd"> df : int or float</span>
<span class="sd"> """</span>
<span class="c1"># TODO: check direction with R, smaller=less, larger=greater</span>
<span class="n">tstat</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">value</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_mean</span>
<span class="n">dof</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sum_weights</span> <span class="o">-</span> <span class="mi">1</span>
<span class="c1"># TODO: use outsourced</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"two-sided"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tstat</span><span class="p">),</span> <span class="n">dof</span><span class="p">)</span> <span class="o">*</span> <span class="mi">2</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"larger"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">tstat</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"smaller"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">tstat</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">,</span> <span class="n">dof</span></div>
<div class="viewcode-block" id="DescrStatsW.ttost_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.ttost_mean.html#statsmodels.stats.weightstats.DescrStatsW.ttost_mean">[docs]</a> <span class="k">def</span> <span class="nf">ttost_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">):</span>
<span class="sd">"""test of (non-)equivalence of one sample</span>
<span class="sd"> TOST: two one-sided t tests</span>
<span class="sd"> null hypothesis: m < low or m > upp</span>
<span class="sd"> alternative hypothesis: low < m < upp</span>
<span class="sd"> where m is the expected value of the sample (mean of the population).</span>
<span class="sd"> If the pvalue is smaller than a threshold, say 0.05, then we reject the</span>
<span class="sd"> hypothesis that the expected value of the sample (mean of the</span>
<span class="sd"> population) is outside of the interval given by thresholds low and upp.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < mean < upp</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1, df1 : tuple</span>
<span class="sd"> test statistic, pvalue and degrees of freedom for lower threshold</span>
<span class="sd"> test</span>
<span class="sd"> t2, pv2, df2 : tuple</span>
<span class="sd"> test statistic, pvalue and degrees of freedom for upper threshold</span>
<span class="sd"> test</span>
<span class="sd"> """</span>
<span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span><span class="p">,</span> <span class="n">df1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ttest_mean</span><span class="p">(</span><span class="n">low</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">)</span>
<span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span><span class="p">,</span> <span class="n">df2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ttest_mean</span><span class="p">(</span><span class="n">upp</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">pv1</span><span class="p">,</span> <span class="n">pv2</span><span class="p">),</span> <span class="p">(</span><span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span><span class="p">,</span> <span class="n">df1</span><span class="p">),</span> <span class="p">(</span><span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span><span class="p">,</span> <span class="n">df2</span><span class="p">)</span></div>
<div class="viewcode-block" id="DescrStatsW.ztest_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.ztest_mean.html#statsmodels.stats.weightstats.DescrStatsW.ztest_mean">[docs]</a> <span class="k">def</span> <span class="nf">ztest_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">):</span>
<span class="sd">"""z-test of Null hypothesis that mean is equal to value.</span>
<span class="sd"> The alternative hypothesis H1 is defined by the following</span>
<span class="sd"> 'two-sided': H1: mean not equal to value</span>
<span class="sd"> 'larger' : H1: mean larger than value</span>
<span class="sd"> 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value : float or array</span>
<span class="sd"> the hypothesized value for the mean</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: mean not equal to value (default)</span>
<span class="sd"> 'larger' : H1: mean larger than value</span>
<span class="sd"> 'smaller' : H1: mean smaller than value</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the t-test</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> This uses the same degrees of freedom correction as the t-test in the</span>
<span class="sd"> calculation of the standard error of the mean, i.e it uses</span>
<span class="sd"> `(sum_weights - 1)` instead of `sum_weights` in the denominator.</span>
<span class="sd"> See Examples below for the difference.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> z-test on a proportion, with 20 observations, 15 of those are our event</span>
<span class="sd"> >>> import statsmodels.api as sm</span>
<span class="sd"> >>> x1 = [0, 1]</span>
<span class="sd"> >>> w1 = [5, 15]</span>
<span class="sd"> >>> d1 = sm.stats.DescrStatsW(x1, w1)</span>
<span class="sd"> >>> d1.ztest_mean(0.5)</span>
<span class="sd"> (2.5166114784235836, 0.011848940928347452)</span>
<span class="sd"> This differs from the proportions_ztest because of the degrees of</span>
<span class="sd"> freedom correction:</span>
<span class="sd"> >>> sm.stats.proportions_ztest(15, 20.0, value=0.5)</span>
<span class="sd"> (2.5819888974716112, 0.009823274507519247).</span>
<span class="sd"> We can replicate the results from ``proportions_ztest`` if we increase</span>
<span class="sd"> the weights to have artificially one more observation:</span>
<span class="sd"> >>> sm.stats.DescrStatsW(x1, np.array(w1)*21./20).ztest_mean(0.5)</span>
<span class="sd"> (2.5819888974716116, 0.0098232745075192366)</span>
<span class="sd"> """</span>
<span class="n">tstat</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">value</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_mean</span>
<span class="c1"># TODO: use outsourced</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"two-sided"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tstat</span><span class="p">))</span> <span class="o">*</span> <span class="mi">2</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"larger"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">tstat</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="o">==</span> <span class="s2">"smaller"</span><span class="p">:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">tstat</span><span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span></div>
<div class="viewcode-block" id="DescrStatsW.ztost_mean"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.ztost_mean.html#statsmodels.stats.weightstats.DescrStatsW.ztost_mean">[docs]</a> <span class="k">def</span> <span class="nf">ztost_mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">):</span>
<span class="sd">"""test of (non-)equivalence of one sample, based on z-test</span>
<span class="sd"> TOST: two one-sided z-tests</span>
<span class="sd"> null hypothesis: m < low or m > upp</span>
<span class="sd"> alternative hypothesis: low < m < upp</span>
<span class="sd"> where m is the expected value of the sample (mean of the population).</span>
<span class="sd"> If the pvalue is smaller than a threshold, say 0.05, then we reject the</span>
<span class="sd"> hypothesis that the expected value of the sample (mean of the</span>
<span class="sd"> population) is outside of the interval given by thresholds low and upp.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < mean < upp</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1 : tuple</span>
<span class="sd"> test statistic and p-value for lower threshold test</span>
<span class="sd"> t2, pv2 : tuple</span>
<span class="sd"> test statistic and p-value for upper threshold test</span>
<span class="sd"> """</span>
<span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ztest_mean</span><span class="p">(</span><span class="n">low</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">)</span>
<span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ztest_mean</span><span class="p">(</span><span class="n">upp</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">pv1</span><span class="p">,</span> <span class="n">pv2</span><span class="p">),</span> <span class="p">(</span><span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span><span class="p">),</span> <span class="p">(</span><span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span><span class="p">)</span></div>
<div class="viewcode-block" id="DescrStatsW.get_compare"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.get_compare.html#statsmodels.stats.weightstats.DescrStatsW.get_compare">[docs]</a> <span class="k">def</span> <span class="nf">get_compare</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""return an instance of CompareMeans with self and other</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> other : array_like or instance of DescrStatsW</span>
<span class="sd"> If array_like then this creates an instance of DescrStatsW with</span>
<span class="sd"> the given weights.</span>
<span class="sd"> weights : None or array</span>
<span class="sd"> weights are only used if other is not an instance of DescrStatsW</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> cm : instance of CompareMeans</span>
<span class="sd"> the instance has self attached as d1 and other as d2.</span>
<span class="sd"> See Also</span>
<span class="sd"> --------</span>
<span class="sd"> CompareMeans</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">):</span>
<span class="n">d2</span> <span class="o">=</span> <span class="n">DescrStatsW</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">weights</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">d2</span> <span class="o">=</span> <span class="n">other</span>
<span class="k">return</span> <span class="n">CompareMeans</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">d2</span><span class="p">)</span></div>
<div class="viewcode-block" id="DescrStatsW.asrepeats"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.DescrStatsW.asrepeats.html#statsmodels.stats.weightstats.DescrStatsW.asrepeats">[docs]</a> <span class="k">def</span> <span class="nf">asrepeats</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""get array that has repeats given by floor(weights)</span>
<span class="sd"> observations with weight=0 are dropped</span>
<span class="sd"> """</span>
<span class="n">w_int</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">w_int</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span></div></div>
<div class="viewcode-block" id="_tstat_generic"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats._tstat_generic.html#statsmodels.stats.weightstats._tstat_generic">[docs]</a><span class="k">def</span> <span class="nf">_tstat_generic</span><span class="p">(</span><span class="n">value1</span><span class="p">,</span> <span class="n">value2</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">dof</span><span class="p">,</span> <span class="n">alternative</span><span class="p">,</span> <span class="n">diff</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""generic ttest based on summary statistic</span>
<span class="sd"> The test statistic is :</span>
<span class="sd"> tstat = (value1 - value2 - diff) / std_diff</span>
<span class="sd"> and is assumed to be t-distributed with ``dof`` degrees of freedom.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value1 : float or ndarray</span>
<span class="sd"> Value, for example mean, of the first sample.</span>
<span class="sd"> value2 : float or ndarray</span>
<span class="sd"> Value, for example mean, of the second sample.</span>
<span class="sd"> std_diff : float or ndarray</span>
<span class="sd"> Standard error of the difference value1 - value2</span>
<span class="sd"> dof : int or float</span>
<span class="sd"> Degrees of freedom</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' : H1: ``value1 - value2 - diff`` not equal to 0.</span>
<span class="sd"> * 'larger' : H1: ``value1 - value2 - diff > 0``</span>
<span class="sd"> * 'smaller' : H1: ``value1 - value2 - diff < 0``</span>
<span class="sd"> diff : float</span>
<span class="sd"> value of difference ``value1 - value2`` under the null hypothesis</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float or ndarray</span>
<span class="sd"> Test statistic.</span>
<span class="sd"> pvalue : float or ndarray</span>
<span class="sd"> P-value of the hypothesis test assuming that the test statistic is</span>
<span class="sd"> t-distributed with ``df`` degrees of freedom.</span>
<span class="sd"> """</span>
<span class="n">tstat</span> <span class="o">=</span> <span class="p">(</span><span class="n">value1</span> <span class="o">-</span> <span class="n">value2</span> <span class="o">-</span> <span class="n">diff</span><span class="p">)</span> <span class="o">/</span> <span class="n">std_diff</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="s2">"2-sided"</span><span class="p">,</span> <span class="s2">"2s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tstat</span><span class="p">),</span> <span class="n">dof</span><span class="p">)</span> <span class="o">*</span> <span class="mi">2</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"larger"</span><span class="p">,</span> <span class="s2">"l"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">tstat</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="s2">"s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">tstat</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"invalid alternative"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span></div>
<div class="viewcode-block" id="_tconfint_generic"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats._tconfint_generic.html#statsmodels.stats.weightstats._tconfint_generic">[docs]</a><span class="k">def</span> <span class="nf">_tconfint_generic</span><span class="p">(</span><span class="n">mean</span><span class="p">,</span> <span class="n">std_mean</span><span class="p">,</span> <span class="n">dof</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span><span class="p">):</span>
<span class="sd">"""generic t-confint based on summary statistic</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> mean : float or ndarray</span>
<span class="sd"> Value, for example mean, of the first sample.</span>
<span class="sd"> std_mean : float or ndarray</span>
<span class="sd"> Standard error of the difference value1 - value2</span>
<span class="sd"> dof : int or float</span>
<span class="sd"> Degrees of freedom</span>
<span class="sd"> alpha : float</span>
<span class="sd"> Significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``.</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' : H1: ``value1 - value2 - diff`` not equal to 0.</span>
<span class="sd"> * 'larger' : H1: ``value1 - value2 - diff > 0``</span>
<span class="sd"> * 'smaller' : H1: ``value1 - value2 - diff < 0``</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower : float or ndarray</span>
<span class="sd"> Lower confidence limit. This is -inf for the one-sided alternative</span>
<span class="sd"> "smaller".</span>
<span class="sd"> upper : float or ndarray</span>
<span class="sd"> Upper confidence limit. This is inf for the one-sided alternative</span>
<span class="sd"> "larger".</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="s2">"2-sided"</span><span class="p">,</span> <span class="s2">"2s"</span><span class="p">]:</span>
<span class="n">tcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">alpha</span> <span class="o">/</span> <span class="mf">2.0</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">-</span> <span class="n">tcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">tcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"larger"</span><span class="p">,</span> <span class="s2">"l"</span><span class="p">]:</span>
<span class="n">tcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">alpha</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">tcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">inf</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="s2">"s"</span><span class="p">]:</span>
<span class="n">tcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">t</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">dof</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">tcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"invalid alternative"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">lower</span><span class="p">,</span> <span class="n">upper</span></div>
<div class="viewcode-block" id="_zstat_generic"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats._zstat_generic.html#statsmodels.stats.weightstats._zstat_generic">[docs]</a><span class="k">def</span> <span class="nf">_zstat_generic</span><span class="p">(</span><span class="n">value1</span><span class="p">,</span> <span class="n">value2</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">alternative</span><span class="p">,</span> <span class="n">diff</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""generic (normal) z-test based on summary statistic</span>
<span class="sd"> The test statistic is :</span>
<span class="sd"> tstat = (value1 - value2 - diff) / std_diff</span>
<span class="sd"> and is assumed to be normally distributed.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value1 : float or ndarray</span>
<span class="sd"> Value, for example mean, of the first sample.</span>
<span class="sd"> value2 : float or ndarray</span>
<span class="sd"> Value, for example mean, of the second sample.</span>
<span class="sd"> std_diff : float or ndarray</span>
<span class="sd"> Standard error of the difference value1 - value2</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' : H1: ``value1 - value2 - diff`` not equal to 0.</span>
<span class="sd"> * 'larger' : H1: ``value1 - value2 - diff > 0``</span>
<span class="sd"> * 'smaller' : H1: ``value1 - value2 - diff < 0``</span>
<span class="sd"> diff : float</span>
<span class="sd"> value of difference ``value1 - value2`` under the null hypothesis</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float or ndarray</span>
<span class="sd"> Test statistic.</span>
<span class="sd"> pvalue : float or ndarray</span>
<span class="sd"> P-value of the hypothesis test assuming that the test statistic is</span>
<span class="sd"> t-distributed with ``df`` degrees of freedom.</span>
<span class="sd"> """</span>
<span class="n">zstat</span> <span class="o">=</span> <span class="p">(</span><span class="n">value1</span> <span class="o">-</span> <span class="n">value2</span> <span class="o">-</span> <span class="n">diff</span><span class="p">)</span> <span class="o">/</span> <span class="n">std_diff</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="s2">"2-sided"</span><span class="p">,</span> <span class="s2">"2s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">zstat</span><span class="p">))</span> <span class="o">*</span> <span class="mi">2</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"larger"</span><span class="p">,</span> <span class="s2">"l"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">zstat</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="s2">"s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">zstat</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"invalid alternative"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">zstat</span><span class="p">,</span> <span class="n">pvalue</span></div>
<div class="viewcode-block" id="_zstat_generic2"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats._zstat_generic2.html#statsmodels.stats.weightstats._zstat_generic2">[docs]</a><span class="k">def</span> <span class="nf">_zstat_generic2</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="n">std</span><span class="p">,</span> <span class="n">alternative</span><span class="p">):</span>
<span class="sd">"""generic (normal) z-test based on summary statistic</span>
<span class="sd"> The test statistic is :</span>
<span class="sd"> zstat = value / std</span>
<span class="sd"> and is assumed to be normally distributed with standard deviation ``std``.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> value : float or ndarray</span>
<span class="sd"> Value of a sample statistic, for example mean.</span>
<span class="sd"> value2 : float or ndarray</span>
<span class="sd"> Value, for example mean, of the second sample.</span>
<span class="sd"> std : float or ndarray</span>
<span class="sd"> Standard error of the sample statistic value.</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' : H1: ``value1 - value2 - diff`` not equal to 0.</span>
<span class="sd"> * 'larger' : H1: ``value1 - value2 - diff > 0``</span>
<span class="sd"> * 'smaller' : H1: ``value1 - value2 - diff < 0``</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> zstat : float or ndarray</span>
<span class="sd"> Test statistic.</span>
<span class="sd"> pvalue : float or ndarray</span>
<span class="sd"> P-value of the hypothesis test assuming that the test statistic is</span>
<span class="sd"> normally distributed.</span>
<span class="sd"> """</span>
<span class="n">zstat</span> <span class="o">=</span> <span class="n">value</span> <span class="o">/</span> <span class="n">std</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="s2">"2-sided"</span><span class="p">,</span> <span class="s2">"2s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">zstat</span><span class="p">))</span> <span class="o">*</span> <span class="mi">2</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"larger"</span><span class="p">,</span> <span class="s2">"l"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">sf</span><span class="p">(</span><span class="n">zstat</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="s2">"s"</span><span class="p">]:</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">cdf</span><span class="p">(</span><span class="n">zstat</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"invalid alternative"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">zstat</span><span class="p">,</span> <span class="n">pvalue</span></div>
<div class="viewcode-block" id="_zconfint_generic"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats._zconfint_generic.html#statsmodels.stats.weightstats._zconfint_generic">[docs]</a><span class="k">def</span> <span class="nf">_zconfint_generic</span><span class="p">(</span><span class="n">mean</span><span class="p">,</span> <span class="n">std_mean</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span><span class="p">):</span>
<span class="sd">"""generic normal-confint based on summary statistic</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> mean : float or ndarray</span>
<span class="sd"> Value, for example mean, of the first sample.</span>
<span class="sd"> std_mean : float or ndarray</span>
<span class="sd"> Standard error of the difference value1 - value2</span>
<span class="sd"> alpha : float</span>
<span class="sd"> Significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' : H1: ``value1 - value2 - diff`` not equal to 0.</span>
<span class="sd"> * 'larger' : H1: ``value1 - value2 - diff > 0``</span>
<span class="sd"> * 'smaller' : H1: ``value1 - value2 - diff < 0``</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower : float or ndarray</span>
<span class="sd"> Lower confidence limit. This is -inf for the one-sided alternative</span>
<span class="sd"> "smaller".</span>
<span class="sd"> upper : float or ndarray</span>
<span class="sd"> Upper confidence limit. This is inf for the one-sided alternative</span>
<span class="sd"> "larger".</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="s2">"2-sided"</span><span class="p">,</span> <span class="s2">"2s"</span><span class="p">]:</span>
<span class="n">zcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">alpha</span> <span class="o">/</span> <span class="mf">2.0</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">-</span> <span class="n">zcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">zcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"larger"</span><span class="p">,</span> <span class="s2">"l"</span><span class="p">]:</span>
<span class="n">zcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="n">alpha</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">zcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">inf</span>
<span class="k">elif</span> <span class="n">alternative</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="s2">"s"</span><span class="p">]:</span>
<span class="n">zcrit</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">norm</span><span class="o">.</span><span class="n">ppf</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">alpha</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">mean</span> <span class="o">+</span> <span class="n">zcrit</span> <span class="o">*</span> <span class="n">std_mean</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"invalid alternative"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">lower</span><span class="p">,</span> <span class="n">upper</span></div>
<div class="viewcode-block" id="CompareMeans"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.html#statsmodels.stats.weightstats.CompareMeans">[docs]</a><span class="k">class</span> <span class="nc">CompareMeans</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">"""class for two sample comparison</span>
<span class="sd"> The tests and the confidence interval work for multi-endpoint comparison:</span>
<span class="sd"> If d1 and d2 have the same number of rows, then each column of the data</span>
<span class="sd"> in d1 is compared with the corresponding column in d2.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> d1, d2 : instances of DescrStatsW</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> The result for the statistical tests and the confidence interval are</span>
<span class="sd"> independent of the user specified ddof.</span>
<span class="sd"> TODO: Extend to any number of groups or write a version that works in that</span>
<span class="sd"> case, like in SAS and SPSS.</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">):</span>
<span class="sd">"""assume d1, d2 hold the relevant attributes</span>
<span class="sd"> """</span>
<span class="bp">self</span><span class="o">.</span><span class="n">d1</span> <span class="o">=</span> <span class="n">d1</span>
<span class="bp">self</span><span class="o">.</span><span class="n">d2</span> <span class="o">=</span> <span class="n">d2</span>
<span class="c1"># assume nobs is available</span>
<span class="c1"># if not hasattr(self.d1, 'nobs'):</span>
<span class="c1"># d1.nobs1 = d1.sum_weights.astype(float) #float just to make sure</span>
<span class="c1"># self.nobs2 = d2.sum_weights.astype(float)</span>
<div class="viewcode-block" id="CompareMeans.from_data"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.from_data.html#statsmodels.stats.weightstats.CompareMeans.from_data">[docs]</a> <span class="nd">@classmethod</span>
<span class="k">def</span> <span class="nf">from_data</span><span class="p">(</span>
<span class="bp">cls</span><span class="p">,</span> <span class="n">data1</span><span class="p">,</span> <span class="n">data2</span><span class="p">,</span> <span class="n">weights1</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">weights2</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ddof1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">ddof2</span><span class="o">=</span><span class="mi">0</span>
<span class="p">):</span>
<span class="sd">"""construct a CompareMeans object from data</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> data1, data2 : array_like, 1-D or 2-D</span>
<span class="sd"> compared datasets</span>
<span class="sd"> weights1, weights2 : None or 1-D ndarray</span>
<span class="sd"> weights for each observation of data1 and data2 respectively,</span>
<span class="sd"> with same length as zero axis of corresponding dataset.</span>
<span class="sd"> ddof1, ddof2 : int</span>
<span class="sd"> default ddof1=0, ddof2=0, degrees of freedom for data1,</span>
<span class="sd"> data2 respectively.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> A CompareMeans instance.</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">data1</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights1</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="n">ddof1</span><span class="p">),</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">data2</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights2</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="n">ddof2</span><span class="p">),</span>
<span class="p">)</span></div>
<div class="viewcode-block" id="CompareMeans.summary"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.summary.html#statsmodels.stats.weightstats.CompareMeans.summary">[docs]</a> <span class="k">def</span> <span class="nf">summary</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">use_t</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""summarize the results of the hypothesis test</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> use_t : bool, optional</span>
<span class="sd"> if use_t is True, then t test results are returned</span>
<span class="sd"> if use_t is False, then z test results are returned</span>
<span class="sd"> alpha : float</span>
<span class="sd"> significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is</span>
<span class="sd"> assumed to be the same. If ``unequal``, then the variance of</span>
<span class="sd"> Welsh ttest will be used, and the degrees of freedom are those</span>
<span class="sd"> of Satterthwaite if ``use_t`` is True.</span>
<span class="sd"> value : float</span>
<span class="sd"> difference between the means under the Null hypothesis.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> smry : SimpleTable</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="n">confint_percents</span> <span class="o">=</span> <span class="mi">100</span> <span class="o">-</span> <span class="n">alpha</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">if</span> <span class="n">use_t</span><span class="p">:</span>
<span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ttest_ind</span><span class="p">(</span><span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">value</span><span class="p">)</span>
<span class="n">lower</span><span class="p">,</span> <span class="n">upper</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tconfint_diff</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ztest_ind</span><span class="p">(</span><span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">value</span><span class="p">)</span>
<span class="n">lower</span><span class="p">,</span> <span class="n">upper</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">zconfint_diff</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">)</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="n">std_err</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_pooledvar</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">std_err</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_separatevar</span>
<span class="n">std_err</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">std_err</span><span class="p">)</span>
<span class="n">tstat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">tstat</span><span class="p">)</span>
<span class="n">pvalue</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">pvalue</span><span class="p">)</span>
<span class="n">lower</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">lower</span><span class="p">)</span>
<span class="n">upper</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">upper</span><span class="p">)</span>
<span class="n">conf_int</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">lower</span><span class="p">,</span> <span class="n">upper</span><span class="p">))</span>
<span class="n">params</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">atleast_1d</span><span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">d2</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">value</span><span class="p">)</span>
<span class="n">title</span> <span class="o">=</span> <span class="s2">"Test for equality of means"</span>
<span class="n">yname</span> <span class="o">=</span> <span class="s2">"y"</span> <span class="c1"># not used in params_frame</span>
<span class="n">xname</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"subset #</span><span class="si">%d</span><span class="s2">"</span> <span class="o">%</span> <span class="p">(</span><span class="n">ii</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">ii</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">tstat</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])]</span>
<span class="kn">from</span> <span class="nn">statsmodels.iolib.summary</span> <span class="kn">import</span> <span class="n">summary_params</span>
<span class="k">return</span> <span class="n">summary_params</span><span class="p">(</span>
<span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="n">params</span><span class="p">,</span> <span class="n">std_err</span><span class="p">,</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">,</span> <span class="n">conf_int</span><span class="p">),</span>
<span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span>
<span class="n">use_t</span><span class="o">=</span><span class="n">use_t</span><span class="p">,</span>
<span class="n">yname</span><span class="o">=</span><span class="n">yname</span><span class="p">,</span>
<span class="n">xname</span><span class="o">=</span><span class="n">xname</span><span class="p">,</span>
<span class="n">title</span><span class="o">=</span><span class="n">title</span><span class="p">,</span>
<span class="p">)</span></div>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">std_meandiff_separatevar</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># this uses ``_var`` to use ddof=0 for formula</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="n">d2</span><span class="o">.</span><span class="n">_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span>
<span class="nd">@cache_readonly</span>
<span class="k">def</span> <span class="nf">std_meandiff_pooledvar</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""variance assuming equal variance in both data sets</span>
<span class="sd"> """</span>
<span class="c1"># this uses ``_var`` to use ddof=0 for formula</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="c1"># could make var_pooled into attribute</span>
<span class="n">var_pooled</span> <span class="o">=</span> <span class="p">(</span>
<span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">sumsquares</span> <span class="o">+</span> <span class="n">d2</span><span class="o">.</span><span class="n">sumsquares</span><span class="p">)</span>
<span class="o">/</span>
<span class="c1"># (d1.nobs - d1.ddof + d2.nobs - d2.ddof))</span>
<span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">var_pooled</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">/</span> <span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">+</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">d2</span><span class="o">.</span><span class="n">nobs</span><span class="p">))</span>
<div class="viewcode-block" id="CompareMeans.dof_satt"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.dof_satt.html#statsmodels.stats.weightstats.CompareMeans.dof_satt">[docs]</a> <span class="k">def</span> <span class="nf">dof_satt</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""degrees of freedom of Satterthwaite for unequal variance</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="c1"># this follows blindly the SPSS manual</span>
<span class="c1"># except I use ``_var`` which has ddof=0</span>
<span class="n">sem1</span> <span class="o">=</span> <span class="n">d1</span><span class="o">.</span><span class="n">_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">sem2</span> <span class="o">=</span> <span class="n">d2</span><span class="o">.</span><span class="n">_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">semsum</span> <span class="o">=</span> <span class="n">sem1</span> <span class="o">+</span> <span class="n">sem2</span>
<span class="n">z1</span> <span class="o">=</span> <span class="p">(</span><span class="n">sem1</span> <span class="o">/</span> <span class="n">semsum</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span> <span class="o">/</span> <span class="p">(</span><span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">z2</span> <span class="o">=</span> <span class="p">(</span><span class="n">sem2</span> <span class="o">/</span> <span class="n">semsum</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span> <span class="o">/</span> <span class="p">(</span><span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">dof</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="n">z1</span> <span class="o">+</span> <span class="n">z2</span><span class="p">)</span>
<span class="k">return</span> <span class="n">dof</span></div>
<div class="viewcode-block" id="CompareMeans.ttest_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.ttest_ind.html#statsmodels.stats.weightstats.CompareMeans.ttest_ind">[docs]</a> <span class="k">def</span> <span class="nf">ttest_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""ttest for the null hypothesis of identical means</span>
<span class="sd"> this should also be the same as onewaygls, except for ddof differences</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples, see notes for 2-D case</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples, see notes for 2-D case</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: difference in means not equal to value (default)</span>
<span class="sd"> 'larger' : H1: difference in means larger than value</span>
<span class="sd"> 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> value : float</span>
<span class="sd"> difference between the means under the Null hypothesis.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the t-test</span>
<span class="sd"> df : int or float</span>
<span class="sd"> degrees of freedom used in the t-test</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> The result is independent of the user specified ddof.</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="n">stdm</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_pooledvar</span>
<span class="n">dof</span> <span class="o">=</span> <span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span>
<span class="k">elif</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"unequal"</span><span class="p">:</span>
<span class="n">stdm</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_separatevar</span>
<span class="n">dof</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dof_satt</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'usevar can only be "pooled" or "unequal"'</span><span class="p">)</span>
<span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span> <span class="o">=</span> <span class="n">_tstat_generic</span><span class="p">(</span>
<span class="n">d1</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="n">d2</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="n">stdm</span><span class="p">,</span> <span class="n">dof</span><span class="p">,</span> <span class="n">alternative</span><span class="p">,</span> <span class="n">diff</span><span class="o">=</span><span class="n">value</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span><span class="p">,</span> <span class="n">dof</span></div>
<div class="viewcode-block" id="CompareMeans.ztest_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.ztest_ind.html#statsmodels.stats.weightstats.CompareMeans.ztest_ind">[docs]</a> <span class="k">def</span> <span class="nf">ztest_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""z-test for the null hypothesis of identical means</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples, see notes for 2-D case</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples, see notes for 2-D case</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: difference in means not equal to value (default)</span>
<span class="sd"> 'larger' : H1: difference in means larger than value</span>
<span class="sd"> 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then the standard deviations of the samples may</span>
<span class="sd"> be different.</span>
<span class="sd"> value : float</span>
<span class="sd"> difference between the means under the Null hypothesis.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the z-test</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="n">stdm</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_pooledvar</span>
<span class="k">elif</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"unequal"</span><span class="p">:</span>
<span class="n">stdm</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_separatevar</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'usevar can only be "pooled" or "unequal"'</span><span class="p">)</span>
<span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span> <span class="o">=</span> <span class="n">_zstat_generic</span><span class="p">(</span>
<span class="n">d1</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="n">d2</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="n">stdm</span><span class="p">,</span> <span class="n">alternative</span><span class="p">,</span> <span class="n">diff</span><span class="o">=</span><span class="n">value</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span></div>
<div class="viewcode-block" id="CompareMeans.tconfint_diff"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.tconfint_diff.html#statsmodels.stats.weightstats.CompareMeans.tconfint_diff">[docs]</a> <span class="k">def</span> <span class="nf">tconfint_diff</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span>
<span class="p">):</span>
<span class="sd">"""confidence interval for the difference in means</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> alpha : float</span>
<span class="sd"> significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> alternative : str</span>
<span class="sd"> This specifies the alternative hypothesis for the test that</span>
<span class="sd"> corresponds to the confidence interval.</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following :</span>
<span class="sd"> 'two-sided': H1: difference in means not equal to value (default)</span>
<span class="sd"> 'larger' : H1: difference in means larger than value</span>
<span class="sd"> 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower, upper : floats</span>
<span class="sd"> lower and upper limits of the confidence interval</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> The result is independent of the user specified ddof.</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="n">diff</span> <span class="o">=</span> <span class="n">d1</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">d2</span><span class="o">.</span><span class="n">mean</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_pooledvar</span>
<span class="n">dof</span> <span class="o">=</span> <span class="n">d1</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d2</span><span class="o">.</span><span class="n">nobs</span> <span class="o">-</span> <span class="mi">1</span>
<span class="k">elif</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"unequal"</span><span class="p">:</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_separatevar</span>
<span class="n">dof</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dof_satt</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'usevar can only be "pooled" or "unequal"'</span><span class="p">)</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">_tconfint_generic</span><span class="p">(</span>
<span class="n">diff</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">dof</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="n">alternative</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">res</span></div>
<div class="viewcode-block" id="CompareMeans.zconfint_diff"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.zconfint_diff.html#statsmodels.stats.weightstats.CompareMeans.zconfint_diff">[docs]</a> <span class="k">def</span> <span class="nf">zconfint_diff</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span>
<span class="p">):</span>
<span class="sd">"""confidence interval for the difference in means</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> alpha : float</span>
<span class="sd"> significance level for the confidence interval, coverage is</span>
<span class="sd"> ``1-alpha``</span>
<span class="sd"> alternative : str</span>
<span class="sd"> This specifies the alternative hypothesis for the test that</span>
<span class="sd"> corresponds to the confidence interval.</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following :</span>
<span class="sd"> 'two-sided': H1: difference in means not equal to value (default)</span>
<span class="sd"> 'larger' : H1: difference in means larger than value</span>
<span class="sd"> 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> lower, upper : floats</span>
<span class="sd"> lower and upper limits of the confidence interval</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> The result is independent of the user specified ddof.</span>
<span class="sd"> """</span>
<span class="n">d1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d1</span>
<span class="n">d2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">d2</span>
<span class="n">diff</span> <span class="o">=</span> <span class="n">d1</span><span class="o">.</span><span class="n">mean</span> <span class="o">-</span> <span class="n">d2</span><span class="o">.</span><span class="n">mean</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_pooledvar</span>
<span class="k">elif</span> <span class="n">usevar</span> <span class="o">==</span> <span class="s2">"unequal"</span><span class="p">:</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">std_meandiff_separatevar</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'usevar can only be "pooled" or "unequal"'</span><span class="p">)</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">_zconfint_generic</span><span class="p">(</span>
<span class="n">diff</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="n">alternative</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">res</span></div>
<div class="viewcode-block" id="CompareMeans.ttost_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.ttost_ind.html#statsmodels.stats.weightstats.CompareMeans.ttost_ind">[docs]</a> <span class="k">def</span> <span class="nf">ttost_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> test of equivalence for two independent samples, base on t-test</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < m1 - m2 < upp</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for lower threshold test</span>
<span class="sd"> t2, pv2 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for upper threshold test</span>
<span class="sd"> """</span>
<span class="n">tt1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ttest_ind</span><span class="p">(</span><span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">low</span><span class="p">)</span>
<span class="n">tt2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ttest_ind</span><span class="p">(</span><span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">upp</span><span class="p">)</span>
<span class="c1"># TODO: remove tuple return, use same as for function tost_ind</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">tt1</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">tt2</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="p">(</span><span class="n">tt1</span><span class="p">,</span> <span class="n">tt2</span><span class="p">)</span></div>
<div class="viewcode-block" id="CompareMeans.ztost_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.CompareMeans.ztost_ind.html#statsmodels.stats.weightstats.CompareMeans.ztost_ind">[docs]</a> <span class="k">def</span> <span class="nf">ztost_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> test of equivalence for two independent samples, based on z-test</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < m1 - m2 < upp</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for lower threshold test</span>
<span class="sd"> t2, pv2 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for upper threshold test</span>
<span class="sd"> """</span>
<span class="n">tt1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ztest_ind</span><span class="p">(</span><span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">low</span><span class="p">)</span>
<span class="n">tt2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ztest_ind</span><span class="p">(</span><span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">upp</span><span class="p">)</span>
<span class="c1"># TODO: remove tuple return, use same as for function tost_ind</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">tt1</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">tt2</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">tt1</span><span class="p">,</span> <span class="n">tt2</span></div></div>
<span class="c1"># tost.__doc__ = tost_ind.__doc__</span>
<span class="c1"># does not work for 2d, does not take weights into account</span>
<span class="c1">## def test_equal_var(self):</span>
<span class="c1">## """Levene test for independence</span>
<span class="c1">##</span>
<span class="c1">## """</span>
<span class="c1">## d1 = self.d1</span>
<span class="c1">## d2 = self.d2</span>
<span class="c1">## #rewrite this, for now just use scipy.stats</span>
<span class="c1">## return stats.levene(d1.data, d2.data)</span>
<div class="viewcode-block" id="ttest_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.ttest_ind.html#statsmodels.stats.weightstats.ttest_ind">[docs]</a><span class="k">def</span> <span class="nf">ttest_ind</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span>
<span class="n">x2</span><span class="p">,</span>
<span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span>
<span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span>
<span class="n">weights</span><span class="o">=</span><span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
<span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
<span class="p">):</span>
<span class="sd">"""ttest independent sample</span>
<span class="sd"> Convenience function that uses the classes and throws away the intermediate</span>
<span class="sd"> results,</span>
<span class="sd"> compared to scipy stats: drops axis option, adds alternative, usevar, and</span>
<span class="sd"> weights option.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples, see notes for 2-D case</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples, see notes for 2-D case</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> * 'two-sided' (default): H1: difference in means not equal to value</span>
<span class="sd"> * 'larger' : H1: difference in means larger than value</span>
<span class="sd"> * 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> weights : tuple of None or ndarrays</span>
<span class="sd"> Case weights for the two samples. For details on weights see</span>
<span class="sd"> ``DescrStatsW``</span>
<span class="sd"> value : float</span>
<span class="sd"> difference between the means under the Null hypothesis.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the t-test</span>
<span class="sd"> df : int or float</span>
<span class="sd"> degrees of freedom used in the t-test</span>
<span class="sd"> """</span>
<span class="n">cm</span> <span class="o">=</span> <span class="n">CompareMeans</span><span class="p">(</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span>
<span class="p">)</span>
<span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span><span class="p">,</span> <span class="n">dof</span> <span class="o">=</span> <span class="n">cm</span><span class="o">.</span><span class="n">ttest_ind</span><span class="p">(</span>
<span class="n">alternative</span><span class="o">=</span><span class="n">alternative</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">value</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">tstat</span><span class="p">,</span> <span class="n">pval</span><span class="p">,</span> <span class="n">dof</span></div>
<div class="viewcode-block" id="ttost_ind"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.ttost_ind.html#statsmodels.stats.weightstats.ttost_ind">[docs]</a><span class="k">def</span> <span class="nf">ttost_ind</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span> <span class="n">transform</span><span class="o">=</span><span class="kc">None</span>
<span class="p">):</span>
<span class="sd">"""test of (non-)equivalence for two independent samples</span>
<span class="sd"> TOST: two one-sided t tests</span>
<span class="sd"> null hypothesis: m1 - m2 < low or m1 - m2 > upp</span>
<span class="sd"> alternative hypothesis: low < m1 - m2 < upp</span>
<span class="sd"> where m1, m2 are the means, expected values of the two samples.</span>
<span class="sd"> If the pvalue is smaller than a threshold, say 0.05, then we reject the</span>
<span class="sd"> hypothesis that the difference between the two samples is larger than the</span>
<span class="sd"> the thresholds given by low and upp.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples, see notes for 2-D case</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples, see notes for 2-D case</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < m1 - m2 < upp</span>
<span class="sd"> usevar : str, 'pooled' or 'unequal'</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. If ``unequal``, then Welsh ttest with Satterthwait degrees</span>
<span class="sd"> of freedom is used</span>
<span class="sd"> weights : tuple of None or ndarrays</span>
<span class="sd"> Case weights for the two samples. For details on weights see</span>
<span class="sd"> ``DescrStatsW``</span>
<span class="sd"> transform : None or function</span>
<span class="sd"> If None (default), then the data is not transformed. Given a function,</span>
<span class="sd"> sample data and thresholds are transformed. If transform is log, then</span>
<span class="sd"> the equivalence interval is in ratio: low < m1 / m2 < upp</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for lower threshold test</span>
<span class="sd"> t2, pv2 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for upper threshold test</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> The test rejects if the 2*alpha confidence interval for the difference</span>
<span class="sd"> is contained in the ``(low, upp)`` interval.</span>
<span class="sd"> This test works also for multi-endpoint comparisons: If d1 and d2</span>
<span class="sd"> have the same number of columns, then each column of the data in d1 is</span>
<span class="sd"> compared with the corresponding column in d2. This is the same as</span>
<span class="sd"> comparing each of the corresponding columns separately. Currently no</span>
<span class="sd"> multi-comparison correction is used. The raw p-values reported here can</span>
<span class="sd"> be correction with the functions in ``multitest``.</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">transform</span><span class="p">:</span>
<span class="k">if</span> <span class="n">transform</span> <span class="ow">is</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">:</span>
<span class="c1"># avoid hstack in special case</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># for transforms like rankdata that will need both datasets</span>
<span class="c1"># concatenate works for stacking 1d and 2d arrays</span>
<span class="n">xx</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">),</span> <span class="mi">0</span><span class="p">))</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">xx</span><span class="p">[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="p">)]</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">xx</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span> <span class="p">:]</span>
<span class="n">low</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">low</span><span class="p">)</span>
<span class="n">upp</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">upp</span><span class="p">)</span>
<span class="n">cm</span> <span class="o">=</span> <span class="n">CompareMeans</span><span class="p">(</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span>
<span class="n">DescrStatsW</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">),</span>
<span class="p">)</span>
<span class="n">pval</span><span class="p">,</span> <span class="n">res</span> <span class="o">=</span> <span class="n">cm</span><span class="o">.</span><span class="n">ttost_ind</span><span class="p">(</span><span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">)</span>
<span class="k">return</span> <span class="n">pval</span><span class="p">,</span> <span class="n">res</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">res</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span></div>
<div class="viewcode-block" id="ttost_paired"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.ttost_paired.html#statsmodels.stats.weightstats.ttost_paired">[docs]</a><span class="k">def</span> <span class="nf">ttost_paired</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""test of (non-)equivalence for two dependent, paired sample</span>
<span class="sd"> TOST: two one-sided t tests</span>
<span class="sd"> null hypothesis: md < low or md > upp</span>
<span class="sd"> alternative hypothesis: low < md < upp</span>
<span class="sd"> where md is the mean, expected value of the difference x1 - x2</span>
<span class="sd"> If the pvalue is smaller than a threshold,say 0.05, then we reject the</span>
<span class="sd"> hypothesis that the difference between the two samples is larger than the</span>
<span class="sd"> the thresholds given by low and upp.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like</span>
<span class="sd"> first of the two independent samples</span>
<span class="sd"> x2 : array_like</span>
<span class="sd"> second of the two independent samples</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < mean of difference < upp</span>
<span class="sd"> weights : None or ndarray</span>
<span class="sd"> case weights for the two samples. For details on weights see</span>
<span class="sd"> ``DescrStatsW``</span>
<span class="sd"> transform : None or function</span>
<span class="sd"> If None (default), then the data is not transformed. Given a function</span>
<span class="sd"> sample data and thresholds are transformed. If transform is log the</span>
<span class="sd"> the equivalence interval is in ratio: low < x1 / x2 < upp</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1, df1 : tuple</span>
<span class="sd"> test statistic, pvalue and degrees of freedom for lower threshold test</span>
<span class="sd"> t2, pv2, df2 : tuple</span>
<span class="sd"> test statistic, pvalue and degrees of freedom for upper threshold test</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">transform</span><span class="p">:</span>
<span class="k">if</span> <span class="n">transform</span> <span class="ow">is</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">:</span>
<span class="c1"># avoid hstack in special case</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># for transforms like rankdata that will need both datasets</span>
<span class="c1"># concatenate works for stacking 1d and 2d arrays</span>
<span class="n">xx</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">),</span> <span class="mi">0</span><span class="p">))</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">xx</span><span class="p">[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="p">)]</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">xx</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span> <span class="p">:]</span>
<span class="n">low</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">low</span><span class="p">)</span>
<span class="n">upp</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">upp</span><span class="p">)</span>
<span class="n">dd</span> <span class="o">=</span> <span class="n">DescrStatsW</span><span class="p">(</span><span class="n">x1</span> <span class="o">-</span> <span class="n">x2</span><span class="p">,</span> <span class="n">weights</span><span class="o">=</span><span class="n">weights</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span><span class="p">,</span> <span class="n">df1</span> <span class="o">=</span> <span class="n">dd</span><span class="o">.</span><span class="n">ttest_mean</span><span class="p">(</span><span class="n">low</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">)</span>
<span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span><span class="p">,</span> <span class="n">df2</span> <span class="o">=</span> <span class="n">dd</span><span class="o">.</span><span class="n">ttest_mean</span><span class="p">(</span><span class="n">upp</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">pv1</span><span class="p">,</span> <span class="n">pv2</span><span class="p">),</span> <span class="p">(</span><span class="n">t1</span><span class="p">,</span> <span class="n">pv1</span><span class="p">,</span> <span class="n">df1</span><span class="p">),</span> <span class="p">(</span><span class="n">t2</span><span class="p">,</span> <span class="n">pv2</span><span class="p">,</span> <span class="n">df2</span><span class="p">)</span></div>
<div class="viewcode-block" id="ztest"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.ztest.html#statsmodels.stats.weightstats.ztest">[docs]</a><span class="k">def</span> <span class="nf">ztest</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mf">1.0</span>
<span class="p">):</span>
<span class="sd">"""test for mean based on normal distribution, one or two samples</span>
<span class="sd"> In the case of two samples, the samples are assumed to be independent.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples</span>
<span class="sd"> value : float</span>
<span class="sd"> In the one sample case, value is the mean of x1 under the Null</span>
<span class="sd"> hypothesis.</span>
<span class="sd"> In the two sample case, value is the difference between mean of x1 and</span>
<span class="sd"> mean of x2 under the Null hypothesis. The test statistic is</span>
<span class="sd"> `x1_mean - x2_mean - value`.</span>
<span class="sd"> alternative : str</span>
<span class="sd"> The alternative hypothesis, H1, has to be one of the following</span>
<span class="sd"> 'two-sided': H1: difference in means not equal to value (default)</span>
<span class="sd"> 'larger' : H1: difference in means larger than value</span>
<span class="sd"> 'smaller' : H1: difference in means smaller than value</span>
<span class="sd"> usevar : str, 'pooled'</span>
<span class="sd"> Currently, only 'pooled' is implemented.</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. see CompareMeans.ztest_ind for different options.</span>
<span class="sd"> ddof : int</span>
<span class="sd"> Degrees of freedom use in the calculation of the variance of the mean</span>
<span class="sd"> estimate. In the case of comparing means this is one, however it can</span>
<span class="sd"> be adjusted for testing other statistics (proportion, correlation)</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tstat : float</span>
<span class="sd"> test statistic</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the t-test</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> usevar not implemented, is always pooled in two sample case</span>
<span class="sd"> use CompareMeans instead.</span>
<span class="sd"> """</span>
<span class="c1"># TODO: this should delegate to CompareMeans like ttest_ind</span>
<span class="c1"># However that does not implement ddof</span>
<span class="c1"># usevar is not used, always pooled</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">!=</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span><span class="s1">'only usevar="pooled" is implemented'</span><span class="p">)</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
<span class="n">nobs1</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">x1_mean</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">x1_var</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="k">if</span> <span class="n">x2</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
<span class="n">nobs2</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">x2_mean</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">x2_var</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">var_pooled</span> <span class="o">=</span> <span class="n">nobs1</span> <span class="o">*</span> <span class="n">x1_var</span> <span class="o">+</span> <span class="n">nobs2</span> <span class="o">*</span> <span class="n">x2_var</span>
<span class="n">var_pooled</span> <span class="o">/=</span> <span class="n">nobs1</span> <span class="o">+</span> <span class="n">nobs2</span> <span class="o">-</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">ddof</span>
<span class="n">var_pooled</span> <span class="o">*=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">nobs1</span> <span class="o">+</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">nobs2</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">var_pooled</span> <span class="o">=</span> <span class="n">x1_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">nobs1</span> <span class="o">-</span> <span class="n">ddof</span><span class="p">)</span>
<span class="n">x2_mean</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">var_pooled</span><span class="p">)</span>
<span class="c1"># stat = x1_mean - x2_mean - value</span>
<span class="k">return</span> <span class="n">_zstat_generic</span><span class="p">(</span><span class="n">x1_mean</span><span class="p">,</span> <span class="n">x2_mean</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">alternative</span><span class="p">,</span> <span class="n">diff</span><span class="o">=</span><span class="n">value</span><span class="p">)</span></div>
<div class="viewcode-block" id="zconfint"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.zconfint.html#statsmodels.stats.weightstats.zconfint">[docs]</a><span class="k">def</span> <span class="nf">zconfint</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span>
<span class="n">x2</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
<span class="n">alpha</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span>
<span class="n">alternative</span><span class="o">=</span><span class="s2">"two-sided"</span><span class="p">,</span>
<span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span>
<span class="n">ddof</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
<span class="p">):</span>
<span class="sd">"""confidence interval based on normal distribution z-test</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like, 1-D or 2-D</span>
<span class="sd"> first of the two independent samples, see notes for 2-D case</span>
<span class="sd"> x2 : array_like, 1-D or 2-D</span>
<span class="sd"> second of the two independent samples, see notes for 2-D case</span>
<span class="sd"> value : float</span>
<span class="sd"> In the one sample case, value is the mean of x1 under the Null</span>
<span class="sd"> hypothesis.</span>
<span class="sd"> In the two sample case, value is the difference between mean of x1 and</span>
<span class="sd"> mean of x2 under the Null hypothesis. The test statistic is</span>
<span class="sd"> `x1_mean - x2_mean - value`.</span>
<span class="sd"> usevar : str, 'pooled'</span>
<span class="sd"> Currently, only 'pooled' is implemented.</span>
<span class="sd"> If ``pooled``, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. see CompareMeans.ztest_ind for different options.</span>
<span class="sd"> ddof : int</span>
<span class="sd"> Degrees of freedom use in the calculation of the variance of the mean</span>
<span class="sd"> estimate. In the case of comparing means this is one, however it can</span>
<span class="sd"> be adjusted for testing other statistics (proportion, correlation)</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> checked only for 1 sample case</span>
<span class="sd"> usevar not implemented, is always pooled in two sample case</span>
<span class="sd"> ``value`` shifts the confidence interval so it is centered at</span>
<span class="sd"> `x1_mean - x2_mean - value`</span>
<span class="sd"> See Also</span>
<span class="sd"> --------</span>
<span class="sd"> ztest</span>
<span class="sd"> CompareMeans</span>
<span class="sd"> """</span>
<span class="c1"># usevar is not used, always pooled</span>
<span class="c1"># mostly duplicate code from ztest</span>
<span class="k">if</span> <span class="n">usevar</span> <span class="o">!=</span> <span class="s2">"pooled"</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span><span class="s1">'only usevar="pooled" is implemented'</span><span class="p">)</span>
<span class="n">x1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
<span class="n">nobs1</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">x1_mean</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">x1_var</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="k">if</span> <span class="n">x2</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">x2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
<span class="n">nobs2</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">x2_mean</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">x2_var</span> <span class="o">=</span> <span class="n">x2</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">var_pooled</span> <span class="o">=</span> <span class="n">nobs1</span> <span class="o">*</span> <span class="n">x1_var</span> <span class="o">+</span> <span class="n">nobs2</span> <span class="o">*</span> <span class="n">x2_var</span>
<span class="n">var_pooled</span> <span class="o">/=</span> <span class="n">nobs1</span> <span class="o">+</span> <span class="n">nobs2</span> <span class="o">-</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">ddof</span>
<span class="n">var_pooled</span> <span class="o">*=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">nobs1</span> <span class="o">+</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">nobs2</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">var_pooled</span> <span class="o">=</span> <span class="n">x1_var</span> <span class="o">/</span> <span class="p">(</span><span class="n">nobs1</span> <span class="o">-</span> <span class="n">ddof</span><span class="p">)</span>
<span class="n">x2_mean</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">std_diff</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">var_pooled</span><span class="p">)</span>
<span class="n">ci</span> <span class="o">=</span> <span class="n">_zconfint_generic</span><span class="p">(</span>
<span class="n">x1_mean</span> <span class="o">-</span> <span class="n">x2_mean</span> <span class="o">-</span> <span class="n">value</span><span class="p">,</span> <span class="n">std_diff</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">alternative</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">ci</span></div>
<div class="viewcode-block" id="ztost"><a class="viewcode-back" href="../../../generated/statsmodels.stats.weightstats.ztost.html#statsmodels.stats.weightstats.ztost">[docs]</a><span class="k">def</span> <span class="nf">ztost</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">low</span><span class="p">,</span> <span class="n">upp</span><span class="p">,</span> <span class="n">x2</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="s2">"pooled"</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
<span class="sd">"""Equivalence test based on normal distribution</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x1 : array_like</span>
<span class="sd"> one sample or first sample for 2 independent samples</span>
<span class="sd"> low, upp : float</span>
<span class="sd"> equivalence interval low < m1 - m2 < upp</span>
<span class="sd"> x1 : array_like or None</span>
<span class="sd"> second sample for 2 independent samples test. If None, then a</span>
<span class="sd"> one-sample test is performed.</span>
<span class="sd"> usevar : str, 'pooled'</span>
<span class="sd"> If `pooled`, then the standard deviation of the samples is assumed to be</span>
<span class="sd"> the same. Only `pooled` is currently implemented.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> pvalue : float</span>
<span class="sd"> pvalue of the non-equivalence test</span>
<span class="sd"> t1, pv1 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for lower threshold test</span>
<span class="sd"> t2, pv2 : tuple of floats</span>
<span class="sd"> test statistic and pvalue for upper threshold test</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> checked only for 1 sample case</span>
<span class="sd"> """</span>
<span class="n">tt1</span> <span class="o">=</span> <span class="n">ztest</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"larger"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">low</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="n">ddof</span>
<span class="p">)</span>
<span class="n">tt2</span> <span class="o">=</span> <span class="n">ztest</span><span class="p">(</span>
<span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">alternative</span><span class="o">=</span><span class="s2">"smaller"</span><span class="p">,</span> <span class="n">usevar</span><span class="o">=</span><span class="n">usevar</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">upp</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="n">ddof</span>
<span class="p">)</span>
<span class="k">return</span> <span class="p">(</span>
<span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">tt1</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">tt2</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span>
<span class="n">tt1</span><span class="p">,</span>
<span class="n">tt2</span><span class="p">,</span>
<span class="p">)</span></div>
</pre></div>
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<h1 title="Uses of Package com.mxgraph.view" class="title">Uses of Package<br>com.mxgraph.view</h1>
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<tr>
<th class="colFirst" scope="col">Package</th>
<th class="colLast" scope="col">Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.analysis">com.mxgraph.analysis</a></td>
<td class="colLast">
<div class="block">This package provides various algorithms for graph analysis, such as
shortest path and minimum spanning tree.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.canvas">com.mxgraph.canvas</a></td>
<td class="colLast">
<div class="block">This package contains various implementations for painting a graph using
different technologies, such as Graphics2D, HTML, SVG or VML.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.costfunction">com.mxgraph.costfunction</a></td>
<td class="colLast"> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.generatorfunction">com.mxgraph.generatorfunction</a></td>
<td class="colLast"> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.io">com.mxgraph.io</a></td>
<td class="colLast">
<div class="block">This package contains all classes for input/output.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.layout">com.mxgraph.layout</a></td>
<td class="colLast">
<div class="block">This package contains various graph layouts.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.layout.hierarchical">com.mxgraph.layout.hierarchical</a></td>
<td class="colLast"> </td>
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<td class="colFirst"><a href="#com.mxgraph.layout.hierarchical.stage">com.mxgraph.layout.hierarchical.stage</a></td>
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<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.layout.orthogonal">com.mxgraph.layout.orthogonal</a></td>
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<td class="colFirst"><a href="#com.mxgraph.layout.orthogonal.model">com.mxgraph.layout.orthogonal.model</a></td>
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</tr>
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<td class="colFirst"><a href="#com.mxgraph.reader">com.mxgraph.reader</a></td>
<td class="colLast">
<div class="block">This package contains the classes required to turn an encoded mxGraphView
into an image using SAX and without having to create a graph model.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.shape">com.mxgraph.shape</a></td>
<td class="colLast"> </td>
</tr>
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<td class="colFirst"><a href="#com.mxgraph.swing">com.mxgraph.swing</a></td>
<td class="colLast">
<div class="block">This package contains the main component for JFC/Swing, namely the graph
component and the outline component.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.swing.handler">com.mxgraph.swing.handler</a></td>
<td class="colLast">
<div class="block">This package contains all classes required for mouse event handling in
JFC/Swing.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.swing.util">com.mxgraph.swing.util</a></td>
<td class="colLast">
<div class="block">This package contains all utility classes that require JFC/Swing, namely for
mouse event handling, drag and drop, actions and overlays.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.swing.view">com.mxgraph.swing.view</a></td>
<td class="colLast">
<div class="block">This package contains all classes required for interaction, namely the
mxCellEditor used for in-place editing and the mxInteractiveCanvas, which
defines the requirements for a canvas that supports hit-detection on shapes.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#com.mxgraph.util">com.mxgraph.util</a></td>
<td class="colLast">
<div class="block">This package provides utility classes such as mxConstants, mxUtils, mxPoint
and mxRectangle as well as all classes for custom events and the undo
history.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#com.mxgraph.view">com.mxgraph.view</a></td>
<td class="colLast">
<div class="block">This package implements the graph component, represented by the mxGraph
class.</div>
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<th class="colOne" scope="col">Class and Description</th>
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<tbody>
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<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxCellState.html#com.mxgraph.analysis">mxCellState</a>
<div class="block">Represents the current state of a cell in a given graph view.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxGraph.html#com.mxgraph.analysis">mxGraph</a>
<div class="block">Implements a graph object that allows to create diagrams from a graph model
and stylesheet.</div>
</td>
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<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxGraph.mxICellVisitor.html#com.mxgraph.analysis">mxGraph.mxICellVisitor</a> </td>
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<tbody>
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<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxCellState.html#com.mxgraph.canvas">mxCellState</a>
<div class="block">Represents the current state of a cell in a given graph view.</div>
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<th class="colOne" scope="col">Class and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxCellState.html#com.mxgraph.generatorfunction">mxCellState</a>
<div class="block">Represents the current state of a cell in a given graph view.</div>
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<td class="colOne"><a href="../../../com/mxgraph/view/class-use/mxGraph.html#com.mxgraph.io">mxGraph</a>
<div class="block">Implements a graph object that allows to create diagrams from a graph model
and stylesheet.</div>
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<h1 id="generated-statsmodels-miscmodels-tmodel-tlinearmodel-exog-names--page-root">statsmodels.miscmodels.tmodel.TLinearModel.exog_names<a class="headerlink" href="#generated-statsmodels-miscmodels-tmodel-tlinearmodel-exog-names--page-root" title="Permalink to this headline">¶</a></h1>
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<h1 id="generated-statsmodels-regression-recursive-ls-recursivelsresults-cov-params-opg--page-root">statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_opg<a class="headerlink" href="#generated-statsmodels-regression-recursive-ls-recursivelsresults-cov-params-opg--page-root" title="Permalink to this headline">¶</a></h1>
<dl class="attribute">
<dt id="statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_opg">
<code class="sig-prename descclassname">RecursiveLSResults.</code><code class="sig-name descname">cov_params_opg</code><a class="headerlink" href="#statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_opg" title="Permalink to this definition">¶</a></dt>
<dd><p>(array) The variance / covariance matrix. Computed using the outer
product of gradients method.</p>
</dd></dl>
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situational/apps/travel_report/templates/travel_report/start.html | lm-tools/situational | {% extends "travel_report/base.html" %}
{% block content %}
<h1 class="heading-xlarge">Where you could travel for work</h1>
<p class="lede text">View a map of places you can get to by public transport - in 90 minutes or less.</p>
<form method=post autocomplete="OFF">
{% csrf_token %}
<div class="form-group {% if form.postcode.errors %}error{% endif %}">
<label for="{{ form.postcode.id_for_label }}">
<span class="form-label{% if form.postcode.errors %}-bold{% endif %}">Postcode</span>
{% for error in form.postcode.errors %}
<span class="error-message">{{ error|escape }}</span>
{% endfor %}
</label>
{{ form.postcode }}
</div>
<div class="form-group">
<button type="submit" class="button button-start">Start</button>
</div>
</form>
{% endblock content %}
|
parkmap/templates/parkmap/home.html | MAPC/bostonparks | {% extends 'parkmap/base.html' %} {% block title %}Explore Parks and Green Spaces in the Boston Metro Area{% endblock %} {% block meta %}
<meta name="description" content="{% block meta_description %}Interactive maps from Boston Parks Advocates allow you to explore parks, athletic fields, playgrounds, greenspaces, gardens and more in the Boston Metro Area. A trip planner provides directions for driving and biking in Boston.{% endblock %}">
<meta name="keywords" content="{% block meta_keywords %}parks in boston, boston sports fields, parking in boston, boston area greenspaces, boston playgrounds, biketrails in boston, boston biketrails, boston art, boston monuments, urban wildlife, metro area parks {% endblock %} ">
{% endblock %} {% block headscripts %}
<link href='http://fonts.googleapis.com/css?family=Cabin' rel='stylesheet' type='text/css'>
<style type="text/css" title="text/css">
@media (max-width: 480px) {
}
</style> {% endblock %}
</head>
{% block bodyclass %}
<body class="home">
{% endblock %} {% block topnav %}{% endblock %} {% block content %}
<div id="map_canvas" class="hidden-phone">
</div>
<div class="container-fluid middle">
<div class="row-fluid show-grid">
<div class="span12 middle">
<div class="well menu-box clearfix">
<div class="menu-box opacity">
</div>
<div class="menu-box-inner">
<div class="scrollable-wrapper">
<div class="menu-box-item">
<h1>
Find a Green Space
</h1>
<h4>
By neighborhood or by name
</h4>
<form method="get" action="">
<select id='neighborhood_only' name='town'>
<option SELECTED VALUE="">
Select Your Neighborhood/Town
</option>
{% for neighborhood in neighborhoods %}
<option value="{{neighborhood.slug}}">
{{neighborhood.name}}
</option>
{% endfor %}
</select>
<noscript>
<input type="submit" value="Submit">
</noscript>
</form>
<form method="POST" action="/home-search/">
{% csrf_token %}
<input type="text" name="parkname" id="parkname" class="parknamesearch" placeholder="Park Name">
<input type="submit" value="Search">
</form>
</div>
<div id="play" class="menu-box-item play">
<h1>
Play!
</h1>
<h4>
Browse parks and facilities by activity
</h4>
</div>
<a href="/explore/">
<div class="menu-box-item">
<h1>
Explore the Map
</h1>
</div>
</a>
<!--Stories-->
<div id="stories">
{% for story in stories|slice:":10" %}
<h2>
Recent Park Story About
<a href="/park/{{story.park.slug}}/">
{{story.park}}</a>
</h2>
<div class="parkstory" id="story_{{story.id}}">
<div class="rating_{{ story.rating }}">
<div class="flag-inapp flag">
<i class="icon-flag icon-white hidden-phone">
</i>
<i class="icon-flag visible-phone">
</i>
Flag as inppropriate
</div>
{% if story.title %}
<div class="storytitle">
<a href="/park/{{story.park.slug}}/#{{story.id}}">
{{ story.title }}
</a>
</div>
{% endif %}
<div class="storytext storyshort">
<a href="/park/{{story.park.slug}}/#{{story.id}}">
{{ story.text|truncatewords:40 }}
</a>
</div>
</div>
</div>
{% endfor %}
</div>
<!-- end stories -->
</div>
<div class="footer">
<a href="/policy/">Data Disclaimer</a>
<span class="divider">/</span>
{% if user.is_authenticated %}
<a class="login" href="/accounts/logout/">LOGOUT</a>
{% else %}
<a class="login" href="/accounts/login/">LOGIN</a>
{% endif %}
</div>
</div>
</div>
</div>
</div>
</div>
{% endblock %} {% block javascript %} {{ block.super }} <script type="text/javascript" src="/static/parkmap/js/bootstrap-typeahead.js"></script> <script type="text/javascript">
// load default map
bp.init_map("parkmap");
var parknames = [{% for park in parks%}"{{park.name|safe}}"{% if not forloop.last%},{%endif%}{%endfor%}];
$(".parknamesearch").typeahead({
source:parknames,
items:12
});
$(function() {
$('#neighborhood_only').change(function() {
window.location = ("/neighborhood/"+$(this).val()+"/");
});
// create and pair play dropdowns
var $a_dd = bp.build_dropdown("#play", "activity");
var $n_dd = bp.build_dropdown("#play", "neighborhood");
bp.pair_dropdown([$a_dd, $n_dd]);
// add play search button
var playbutton = $("<button />", {
"class": "btn",
"href": "javascript:void(0)"
})
.html("Search")
.on("click", function(e){
var activity = $("select#activity option:selected").data("slug");
var neighborhood = $("select#neighborhood option:selected").data("slug");
if (neighborhood && activity){
window.location = ("/neighborhood/" + neighborhood + "/" + activity + "/");
} else if(activity) {
var activity_id = $("select#activity option:selected").data("id");
window.location = ("/neighborhood/all/" + activity + "/#"+activity_id+",all");
} else {
$("select#activity").prop("selectedIndex",0);
$("select#neighborhood").prop("selectedIndex",0);
return; // Can't search neighborhoods with no neighborhood.
}
});
$("#play").append(playbutton);
});
$("a.read").click(function(){
$(this).siblings(".storytext").toggle(400);
$('a.readless').show();
$('a.read').hide();
});
$("a.readless").click(function(){
$(this).siblings(".storytext").toggle(400);
$('a.readless').hide();
$('a.read').show();
});
{% for story in stories %}
$("#story_{{story.id}} .flag").bind("click",function(){
$.get('/story/flag/{{story.id}}/');
});
{% endfor %}
</script> {% endblock %}
</body>
</html>
|
ui/templates/organizationNewForm.html | FurqanSoftware/papyrus | {{define "styles"}}{{end}}
{{define "main"}}
<div class="col-md-9">
<div class="panel panel-default">
<div class="panel-heading">
<div class="panel-title">
New Organization
</div>
</div>
<div class="panel-body">
<form method="POST">
<div class="row">
<div class="col-md-2 text-right">
<label for="inpName">Name</label>
</div>
<div class="col-md-4">
<input id="inpName" class="form-control" type="text" name="name" placeholder="Name">
</div>
</div>
<br>
<div class="row">
<div class="col-md-offset-2 col-md-2">
<button type="submit" class="btn btn-default">Create</button>
</div>
</div>
</form>
</div>
</div>
</div>
{{end}}
{{define "scripts"}}{{end}}
|
zorna/templates/communities/forms_form.html | zorna/zorna | {% load i18n %}
{% if form_extra.errors %}
<strong>{{ form_extra.non_field_errors }}</strong>
{% endif %}
<fieldset class="module aligned">
{% for field in form_extra.hidden_fields %}
{{ field }}
{% endfor %}
{% for field in form_extra.visible_fields %}
<div class="form-row">
<div>
<table>
<tr>
<td>
{{ field.label_tag }}
</td>
<td class="forms-form-row">
{% if field.errors %}
<ul class="errorlist">
{% for error in field.errors %}
<li>{{ error }}</li>
{% endfor %}
</ul>
{% endif %}
{% if field.help_text %}
{{ field.help_text }}
<br />
{% endif %}
{{ field }}
</td>
</tr>
</table>
</div>
</div>
{% endfor %}
</fieldset>
<div style="clear:left;"> </div>
{% load accounts_tags %}
<link rel="stylesheet" type="text/css" href="{{ MEDIA_URL }}css/jquery.autocomplete.css" />
<script type="text/javascript" src="{{ MEDIA_URL }}javascript/jquery.autocomplete.js"></script>
<script type="text/javascript" src="{{ MEDIA_URL }}javascript/jquery.timeentry.min.js"></script>
<script type="text/javascript">
{% json_list_users %}
$(document).ready(function() {
$(".zorna_user").autocomplete(users_list,
{
dataType: "json",
parse: function(data) {
return $.map(data, function(row) {
return { data:row, value:row[1], result:row[0] };
});
}
}).result(
function(e, data, value) {
var el = $(this).attr('id')+'-id';
$("#"+el).val(data[1]);
}
);
$(".datetimefield").each(function(i){
var id = $(this).attr('id');
if(id.charAt(id.length-1) == '0')
$(this).datepicker();
else
$(this).timeEntry(tmOptions);
});
$(".datefield").each(function(i){
$(this).datepicker();
});
$(".timefield").each(function(i){
$(this).timeEntry(tmOptions);
});
$("#bdelete").click(function (){
var x=window.confirm("{% trans "Are you sur you want to delete this entry" %}");
return x;
});
});
</script> |
Source/Testing/HtmlRenderer.ExperimentalApp/Data/Files/skype/546E796CA7B1BEEEBF6E3CB26F3D6E7A.html | todor-dk/HTML-Renderer |
<!DOCTYPE html>
<html class=" str-patch-html5">
<head>
<meta charset="ISO-8859-1">
<link rel="dns-prefetch" href="http://stars.topix.com/">
<link rel="dns-prefetch" href="http://offbeat.topix.com/">
<link rel="dns-prefetch" href="http://wellnest.topix.com/">
<meta name="language" content="english">
<script>
var start_time = (new Date()).getTime();
if (document.URL && document.URL.match(/pontfaverger\.com/)) {
window.location = "http://www.topix.com/";
}
</script>
<link rel="stylesheet" href="//static.topixcdn.com/static/base_layout.20170710-160913.css" type="text/css" media="all" />
<link rel="stylesheet" href="//static.topixcdn.com/static/topix-dk.20170710-160913.css" type="text/css" media="all" />
<title> Page Not Found - Topix » Topix</title>
<!-- change this to cachefly hosted jquery before pushing to production-->
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script>
<script>var $jq = jQuery.noConflict()</script>
<script type="text/javascript" src="//static.topixcdn.com/static/topixall.20170710-160913.js"></script>
<script type="text/javascript">
var start_time;
if (!start_time)
start_time = (new Date()).getTime();
var _sf_startpt = (new Date()).getTime(); // chartbeat
var t_v = "/t6track/clk?v=ba401bH4sIAAAAAAAA/01PTU6DQBSeWmv8iYlbt7OuBQSBYVdFm1pxAZQ9GUBIC9MwVGqMJ/AGXsEz6QXcuPAAvgGi3Uy--X7e-17/tYfQp//2/eG/f50OfnpX7th5xrsIIc6zCFv4BGAwdlXdC6Z3hmbbztzFQ7wDdMWxpWiEmIZhEHnYpJb/KSKbnq74nn5LLj0lMCA1APohZpSCRUywr4HcAxDSKmMFsEfwSVi5zqXm7TLrrEgYqFAWzbsIzInyEEjACLfbCxbFwBwApCyX-OJpFXcjeDtCaY2rx7-a6lSf3DjuzLzQJjOf3IN/XxyXlnEYNa6tBSnjFTDHAOu6HlVslW1GsKqT85CmIB8K-fwMHEksq6D1xQ3lstvYniZtNxQH0bRkuagv6lYbK1rgl1-dlvLSoAEAAA__";
var page_node = "com/skype";
var page_nnode = "com/skype";
var topix_adinfo = "";
var topix_inst_adinfo = "";
var topix_node = 'com/skype';
var js_domain = '';
var no_video_collapse = false;
var rubicon_rtp={};
var tpx_wallpaper = 0;
var tpx_t7_header_flag = 1;
</script>
<meta name="viewport" content="width=980, user-scalable=yes" />
<meta property="og:title" content="Page Not Found - Topix"/>
<meta property="og:description" content="Local news and discussion forums for every city in the US, thousands of cities throughout the world."/>
<meta property="og:image" content="//static.topixcdn.com/ext/t9/topix-og-image-2.jpg"/>
<meta property="og:url" content="http://www.topix.com/forum/com/skype"/>
<meta property="og:type" content="website"/>
<meta property="og:site_name" content="Topix"/>
<meta property="fb:app_id" content="1647364015483622"/>
<link rel="shortcut icon" href="//static.topixcdn.com/ext/t9/tx-favicon.ico"/>
<script>
document.observe('dom:loaded', chrome_attach_spotlight_to_search);
</script>
<script>
setTimeout(topix_doPageRefresh, 2700000);
</script>
<!-- no ad supply -->
</head>
<body id='stream' >
<!-- timestamp: 1499877790, ip: 91.64.20.229 -->
<a id="verytop"></a>
<div id="overlaydiv" style="display:none; height:0px"></div>
<div id="dialogdiv" style="display:none;">
</div>
<div id="election_race_popout" style="display:none"></div>
<div id="fb-root" style="display:none;"></div>
<div class="str-top-ad js-tpx-top-adv">
</div>
<div class="js-header-placeholder str-header-placeholder"></div>
<div class="str-header-wrapper js-tpx-header-wrapper">
<div class="x-header-container">
<div class="str-header js-header">
<ul class="str-header-left js-header-left">
<li class="x-logo">
<a href="/" data-t="homenav/logo">
<svg width="100" height="50" class="x-mini-logo">
<image xlink:href="//static.topixcdn.com/ext/tx-logo-shadow.svg" width="100" height="50" />
</svg>
</a>
</li>
<li class="x-local">
<a href="/com/skype" class="x-node" data-t="homenav/nodename">
Skype
</a>
</li>
<li class="x-nav-item">
<a href="/com/skype" data-t="homenav/local/news" class="">
<i class="ico-news"></i> News
</a>
</li>
</ul>
<ul class="str-header-right js-header-right">
<li class="x-nav-item x-user-no js-header-section">
<script>
function togglePanels(elemToHide, elemToShow) {
Element.hide(elemToHide);
Element.show(elemToShow);
}
</script>
<a href="#">
<i class="x-icon ico-user"></i>
</a>
<div class="str-nav-signin js-header-section-dropdown">
<form method="POST" action="/member/login" class="x-form" id="signin_form">
<input type="hidden" name="redir" value="">
<input type="hidden" name="redirhash" value="">
<input type="hidden" name="submitted" value="1">
<input type="hidden" name="authtype" value="login">
<input name="login_email" type="email" id="login_email_addr" value="" class="x-input" placeholder="Enter Email" />
<input name="login_password" type="password" class="x-input" placeholder="Enter Password" />
<input class="x-action" type="submit" value="Sign In">
</form>
<div class="x-signup">
<p class="x-label">Not a Topix user yet?</p>
<a href="/member/register" class="x-action">Sign Up</a>
</div>
<div class="x-form jscomp-forgot-password-form" id="forgot_form" style="display:none">
<p class="x-title">Forgot Your Password?</p>
<div class="error js-error" style="display: none"></div>
<div class="js-message"></div>
<input name="forgotPassword_email" type="text" id="forgotPassword_email_addr" value="" class="x-input" placeholder="Enter your email to recover" />
<input class="x-action" type="submit" value="Submit" onclick="javascript: return topix_forgotPassword('forgotPassword_email_addr', $jq(this).closest('.jscomp-forgot-password-form')[0])">
<a class="x-sml-link x-back" href="#" onclick="togglePanels('forgot_form', 'signin_form'); return false;">Back to login</a>
</div>
</div>
</li>
<li class="x-nav-item x-search js-header-section">
<a href="#">
<i class="x-icon ico-search"></i>
</a>
<div class="str-nav-search js-header-section-dropdown">
<form method="get" action="/search/article" name="search_form" class="x-form">
<input type="text" id="search_field" autocomplete="off" name="q" class="x-search-input" placeholder="Search" />
<button class="x-submit" type="submit" onclick="sendClickEvent('homenav/search')" >
<i class="ico-search"></i>
</button>
</form>
<div class="str-spotlight-wrapper"></div>
</div>
</li>
<li class="x-nav-item x-stars">
<a href="http://stars.topix.com/?utm_source=topix-stars&utm_campaign=topnav" rel="nofollow" data-t="homenav/stars">
<svg width="47" height="17" class="x-mini-logo">
<image xlink:href="//static.topixcdn.com/ext/st-logo-full-white.svg" width="47" height="17" />
</svg>
</a>
</li>
<li class="x-nav-item x-sections js-header-section">
<a href="#">
Sections
<i class="ico-arrow-down"></i>
</a>
<div class="str-nav-sections js-header-section-dropdown">
<div class="str-nav-columns">
<div class="x-column">
<a href="/dir" data-t="homenav/sections/all_topix">All Topix</a>
<a href="/topstories" data-t="homenav/sections/topstories" title="Top news stories from around the world">Top Stories</a>
<a href="/forum/recent" data-t="homenav/sections/forum-recent" title=" Recent forum posts">Forums</a>
<a href="/userforum/recent" data-t="homenav/sections/ugf-recent" title="Recent user forum posts">User Forums</a>
</div>
<div class="x-column">
<a href="/business" data-t="homenav/sections/business" title="Business and financial news">Business</a>
<a href="/tech" data-t="homenav/sections/tech" title="Trending technology news">Tech</a>
<a href="/sports" data-t="homenav/sections/sports" title="NASCAR, NBA, NCAA, NFL, MLB, and other sports news">Sports</a>
<a href="/entertainment" data-t="homenav/sections/entertainment" title="Movie, celebrity and gossip news">Entertainment</a>
</div>
<div class="x-column">
<a href="/us" data-t="homenav/sections/usnews" title="Top news reports from inside the US">US News</a>
<a href="/news/weird" data-t="homenav/sections/weird">Weird News</a>
<a href="http://offbeat.topix.com/" data-t="homenav/sections/offbeat">Offbeat</a>
<a href="http://stars.topix.com/?utm_source=topix-stars&utm_campaign=homepage" data-t="homenav/sections/stars">Stars!</a>
</div>
</div>
</div>
</li>
</ul>
</div>
</div>
</div>
<script>
offbeatRecirc();
setInterval(function(){
stickyHeader();
}, 10000);
$jq(document).scroll(function () {
stickyHeader();
});
function stickyHeader() {
var headerPlaceHolder = $jq('.js-header-placeholder');
var headerPlaceHolderOffset = headerPlaceHolder.offset().top;
var scrollTop = $jq(window).scrollTop();
var headerPosition = (headerPlaceHolderOffset - scrollTop);
var header = $jq('.js-tpx-header-wrapper');
if (headerPosition <= 0) {
header.addClass('str-fixed-header');
headerPlaceHolder.addClass('str-fixed-header-placeholder');
} else {
header.removeClass('str-fixed-header');
headerPlaceHolder.removeClass('str-fixed-header-placeholder');
}
}
function offbeatRecirc() {
var offbeatRecircLink = $jq('.js-offbeat-recirc-link');
var offbeatRecircDiv = $jq('.js-offbeat-recirc');
offbeatRecircLink.hover(
function() {
$jq('.js-offbeat-recirc').stop(true, true).slideDown();
}, function() {
$jq('.js-offbeat-recirc').stop(true, true).slideUp();
});
offbeatRecircDiv.hover(
function() {
$jq(this).stop(true, true).show();
}, function() {
$jq(this).stop(true, true).slideUp();
});
}
$jq('.js-header-section-dropdown').hover(
function(){
$jq('.js-header-section').removeClass('header-item-hover');
$jq(this).closest('.js-header-section').addClass('header-item-hover');
if ($jq(this).hasClass('js-offbeat-recirc')) {
$jq('.js-offbeat-recirc-link').addClass('header-item-hover');
}
},
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|
munin_exchange/templates/plugins/relatives.html | Kami/munin_exchange | {% extends "base.html" %}
{% load assets %}
{% block title %}{{ plugin.title }} plugin relatives{% endblock %}
{% block feeds %}
<link rel="alternate" type="application/rss+xml" title="Latest plugins RSS feed" href="{% url plugins_feed %}" />
{% endblock %}
{% load breadcrumbs %}
{% block breadcrumbs %}
{% breadcrumb_url plugin.title plugins_details plugin.title_slug %}
{% breadcrumb 'Relatives' %}
{% endblock %}
{% block content %}
<h2>{{ plugin.title }} plugin relatives</h2>
{% include "common/messages.html" %}
<p>Here you can see {{ plugin.title }} plugin relatives (plugins which the same purpose and output but available on different platform).</p>
<script type="text/javascript">
$(window).load(function()
{
$('.title').tipTip(
{
delay: 100
});
});
</script>
<table class="list">
<thead>
<tr>
<th>Title</th>
<th>Category</th>
<th>Platform(s)</th>
<th>Language</th>
<th>Date submited</th>
<th>Latest version</th>
<th>Download</th>
</tr>
</thead>
<tbody>
{% if relatives %}
{% for plugin in relatives %}
<tr>
<td style="width: 120px;"><a href="{% url plugins_details title_slug=plugin.title_slug %}" title="{{ plugin.description|truncatewords:20 }}" class="title">{{ plugin.title }}</a></td>
<td><a href="{% url plugins_index %}?filter=category&value={{ plugin.get_category }}">{{ plugin.get_category }}</a></td>
<td>
{% for platform in plugin.get_platforms %}
<a href="{% url plugins_index %}?filter=platform&value={{ platform }}">{{ platform }}</a>{% if not forloop.last %},{% endif %}
{% endfor %}
</td>
<td>{{ plugin.language }}</td>
<td>{{ plugin.get_latest_version.date_submitted|date:"d.m.Y" }}</td>
<td><a href="{% url plugins_versions title_slug=plugin.title_slug %}">{{ plugin.get_latest_version.version_number }}</a></td>
<td><a href="{% url plugins_download title_slug=plugin.title_slug,version_number=plugin.get_latest_version.version_number %}">download</a></td>
</tr>
{% endfor %}
{% else %}
<tr>
<td colspan="7">This plugin has no relatives.</p>
</tr>
{% endif %}
</tbody>
</table>
<p><a href="{% url plugins_details title_slug=plugin.title_slug %}"><< Back to plugin description</a></p>
{% endblock %} |
examples/flaskr/templates/show_entries.html | dag/flask-genshi | <html
xmlns:py="http://genshi.edgewall.org/"
xmlns:xi="http://www.w3.org/2001/XInclude"
>
<xi:include href="layout.html"/>
<body>
<form
py:if="session.get('logged_in')"
action="${url_for('add_entry')}"
method="post"
class="add-entry"
>
<dl>
<dt>Title:</dt>
<dd><input type="text" size="30" name="title"/></dd>
<dt>Text:</dt>
<dd><textarea name="text" rows="5" cols="40"/></dd>
<dd><input type="submit" value="Share"/></dd>
</dl>
</form>
<ul class="entries">
<li py:for="entry in entries">
<h2>${entry.title}</h2>
${Markup(entry.text)}
</li>
<li py:if="not entries">
<em>Unbelievable. No entries here so far</em>
</li>
</ul>
</body>
</html>
|
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