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/ensembles/AODELd.h</title>
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<title>LCOV - BayesNet Coverage Report - bayesnet/ensembles/AODELd.h</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/ensembles</a> - AODELd.h<span style="font-size: 80%;"> (source / <a href="AODELd.h.func-c.html">functions</a>)</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/ensembles</a> - AODELd.h<span style="font-size: 80%;"> (source / <a href="AODELd.h.func-c.html">functions</a>)</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">1</td>
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<td class="headerCovTableEntry">1</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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@@ -76,7 +84,7 @@
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<span id="L14"><span class="lineNum"> 14</span> : class AODELd : public Ensemble, public Proposal {</span>
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<span id="L15"><span class="lineNum"> 15</span> : public:</span>
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<span id="L16"><span class="lineNum"> 16</span> : AODELd(bool predict_voting = true);</span>
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<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 10 : virtual ~AODELd() = default;</span></span>
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<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 20 : virtual ~AODELd() = default;</span></span>
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<span id="L18"><span class="lineNum"> 18</span> : AODELd& fit(torch::Tensor& X_, torch::Tensor& y_, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_) override;</span>
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<span id="L19"><span class="lineNum"> 19</span> : std::vector<std::string> graph(const std::string& name = "AODELd") const override;</span>
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<span id="L20"><span class="lineNum"> 20</span> : protected:</span>
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