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<!DOCTYPE html>
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<section id="tests">
<h1><span class="section-number">4. </span>Tests<a class="headerlink" href="#tests" title="Permalink to this heading"></a></h1>
<p>Our continuous integration (CI) tests are implemented using GitHub Actions. This
involves two main tests for consistency and validation:</p>
<ol class="arabic simple">
<li><p>Consistency of linear fits. Here we check that our simple examples
<code class="code docutils literal notranslate"><span class="pre">examples/Ta_Linear_JCP2014</span></code> produces the same fitting coefficients
from a previous standard in <code class="code docutils literal notranslate"><span class="pre">20May21_Standard</span></code>.</p></li>
<li><p>Proper implementation of neural network forces. This test involves
calculating forces via finite difference and comparing to the analytical
forces calculated via automatic differentation that we fit to. This ensures
that neural network forces are properly coded. Finite difference
and analytical forces in an interatomic potential should agree within a
small amount such as <code class="code docutils literal notranslate"><span class="pre">1e-3</span></code> force units.</p></li>
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