Enhance tests coverage and report output
This commit is contained in:
@@ -31,17 +31,17 @@
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<td class="headerValue">coverage.info</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">92.5 %</td>
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<td class="headerCovTableEntry">120</td>
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<td class="headerCovTableEntryHi">97.4 %</td>
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<td class="headerCovTableEntry">114</td>
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<td class="headerCovTableEntry">111</td>
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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">2024-04-29 20:48:03</td>
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<td class="headerValue">2024-04-30 13:59:18</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">91.7 %</td>
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<td class="headerCovTableEntry">12</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">11</td>
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<td class="headerCovTableEntry">11</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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@@ -63,86 +63,79 @@
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L68">_ZN8bayesnet7Metrics15conditionalEdgeERKN2at6TensorE</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L9">bayesnet::Metrics::Metrics(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)</a></td>
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<td class="coverFnHi">374</td>
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<td class="coverFnHi">2248</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L153">_ZN8bayesnet7Metrics17mutualInformationERKN2at6TensorES4_S4_</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L17">bayesnet::Metrics::Metrics(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > > const&, std::vector<int, std::allocator<int> > const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)</a></td>
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<td class="coverFnHi">91263</td>
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<td class="coverFnHi">96</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L124">_ZN8bayesnet7Metrics18conditionalEntropyERKN2at6TensorES4_S4_</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L28">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&, bool, unsigned int)</a></td>
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<td class="coverFnHi">91263</td>
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<td class="coverFnHi">690</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L28">_ZN8bayesnet7Metrics19SelectKBestWeightedERKN2at6TensorEbj</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L45">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&, bool, unsigned int)::{lambda(int, int)#1}::operator()(int, int) const</a></td>
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<td class="coverFnHi">1099</td>
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<td class="coverFnHi">2718</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L162">_ZN8bayesnet7Metrics19maximumSpanningTreeERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EERKN2at6TensorEi</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L55">bayesnet::Metrics::SelectKBestWeighted(at::Tensor const&, bool, unsigned int)::{lambda(int, int)#2}::operator()(int, int) const</a></td>
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<td class="coverFnHi">319</td>
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<td class="coverFnHi">97212</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L107">_ZN8bayesnet7Metrics22conditionalEdgeWeightsERSt6vectorIfSaIfEE</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L68">bayesnet::Metrics::conditionalEdge(at::Tensor const&)</a></td>
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<td class="coverFnLo">0</td>
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<td class="coverFnHi">204</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L114">_ZN8bayesnet7Metrics7entropyERKN2at6TensorES4_</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L116">bayesnet::Metrics::conditionalEntropy(at::Tensor const&, at::Tensor const&, at::Tensor const&)</a></td>
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<td class="coverFnHi">101565</td>
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<td class="coverFnHi">44793</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L9">_ZN8bayesnet7MetricsC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_i</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L106">bayesnet::Metrics::entropy(at::Tensor const&, at::Tensor const&)</a></td>
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<td class="coverFnHi">3957</td>
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<td class="coverFnHi">50295</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L17">_ZN8bayesnet7MetricsC2ERKSt6vectorIS1_IiSaIiEESaIS3_EERKS3_RKS1_INSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISF_EERKSF_i</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L63">bayesnet::Metrics::getScoresKBest() const</a></td>
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<td class="coverFnHi">176</td>
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<td class="coverFnHi">48</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L63">_ZNK8bayesnet7Metrics14getScoresKBestEv</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L154">bayesnet::Metrics::maximumSpanningTree(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, at::Tensor const&, int)</a></td>
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<td class="coverFnHi">88</td>
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<td class="coverFnHi">174</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L55">_ZZN8bayesnet7Metrics19SelectKBestWeightedERKN2at6TensorEbjENKUliiE0_clEii</a></td>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L145">bayesnet::Metrics::mutualInformation(at::Tensor const&, at::Tensor const&, at::Tensor const&)</a></td>
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<td class="coverFnHi">168709</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BayesMetrics.cc.gcov.html#L45">_ZZN8bayesnet7Metrics19SelectKBestWeightedERKN2at6TensorEbjENKUliiE_clEii</a></td>
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<td class="coverFnHi">5931</td>
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<td class="coverFnHi">44793</td>
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</tr>
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