Refactor coverage report generation
Add some tests to reach 99%
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - coverage.info - bayesnet/classifiers/TAN.cc - functions</title>
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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</head>
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@@ -19,7 +19,7 @@
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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@@ -28,7 +28,7 @@
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">coverage.info</td>
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<td class="headerValue">BayesNet Coverage Report</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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@@ -37,12 +37,20 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-30 20:26:57</td>
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<td class="headerValue">2024-05-06 17:54:04</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">4</td>
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<td class="headerCovTableEntry">4</td>
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</tr>
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<tr>
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<td class="headerItem">Legend:</td>
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<td class="headerValueLeg"> Lines:
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<span class="coverLegendCov">hit</span>
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<span class="coverLegendNoCov">not hit</span>
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</td>
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<td></td>
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</tr>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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@@ -65,28 +73,28 @@
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<tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L23">auto bayesnet::TAN::buildModel(at::Tensor const&)::{lambda(auto:1 const&, auto:2 const&)#1}::operator()<std::pair<int, float>, std::pair<int, float> >(std::pair<int, float> const&, std::pair<int, float> const&) const</a></td>
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<td class="coverFnHi">324</td>
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<td class="coverFnHi">648</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L8">bayesnet::TAN::TAN()</a></td>
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<td class="coverFnHi">94</td>
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<td class="coverFnHi">188</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L10">bayesnet::TAN::buildModel(at::Tensor const&)</a></td>
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<td class="coverFnHi">26</td>
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<td class="coverFnHi">52</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L39">bayesnet::TAN::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
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<td class="coverFnHi">4</td>
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<td class="coverFnHi">8</td>
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</tr>
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