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LLNL · Nov 13, 2024 · a724edf · a724edf
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diff --git a/.doctrees/autoapi/lasdi/param/index.doctree b/.doctrees/autoapi/lasdi/param/index.doctree
diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle
diff --git a/_sources/autoapi/lasdi/param/index.rst.txt b/_sources/autoapi/lasdi/param/index.rst.txt
@@ -92,11 +92,12 @@ Module Contents
    .. py:method:: createInitialTrainSpaceForHull(param_list)
 
       Concatenates the provided lists of training points into a 2D array.
-          param_list: A list of parameter dictionaries
 
-          Output: mesh_grid
-              - np.array of size [d, k], where d is the number of points provided on the exterior of
-                the training space and k is the number of parameters (k == len(param_list)).
+      param_list: A list of parameter dictionaries
+
+      Output: mesh_grid
+          - np.array of size [d, k], where d is the number of points provided on the exterior of
+            the training space and k is the number of parameters (k == len(param_list)).
 
 
 
@@ -106,9 +107,10 @@ Module Contents
    .. py:method:: createTestGridSpaceForHull(param_list)
 
       Builds an initial uniform grid for the testing parameters when the test_space is 'hull'.
-          param_list: A list of parameter dictionaries
 
-          Output: gridSizes, mesh_grids, param_grid
+      param_list: A list of parameter dictionaries
+
+      Output: gridSizes, mesh_grids, param_grid
 
 
 
@@ -117,9 +119,10 @@ Module Contents
       This function builds an initial uniform grid for the testing parameters, and then
       returns any testing points which are within the convex hull of the provided
       training parameters.
-          param_list: A list of parameter dictionaries
 
-          Output: gridSizes, mesh_grids, test_space
+      param_list: A list of parameter dictionaries
+
+      Output: gridSizes, mesh_grids, test_space
 
 
 

diff --git a/_static/js/versions.js b/_static/js/versions.js
@@ -1,17 +1,21 @@
 const themeFlyoutDisplay = "hidden";
-const themeVersionSelector = "True";
-const themeLanguageSelector = "True";
+const themeVersionSelector = true;
+const themeLanguageSelector = true;
 
 if (themeFlyoutDisplay === "attached") {
   function renderLanguages(config) {
     if (!config.projects.translations.length) {
       return "";
     }
 
+    // Insert the current language to the options on the selector
+    let languages = config.projects.translations.concat(config.projects.current);
+    languages = languages.sort((a, b) => a.language.name.localeCompare(b.language.name));
+
     const languagesHTML = `
       <dl>
         <dt>Languages</dt>
-        ${config.projects.translations
+        ${languages
           .map(
             (translation) => `
         <dd ${translation.slug == config.projects.current.slug ? 'class="rtd-current-item"' : ""}>

diff --git a/autoapi/lasdi/param/index.html b/autoapi/lasdi/param/index.html
@@ -207,17 +207,15 @@ <h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalin
 <dl class="py method">
 <dt class="sig sig-object py" id="lasdi.param.ParameterSpace.createInitialTrainSpaceForHull">
 <span class="sig-name descname"><span class="pre">createInitialTrainSpaceForHull</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#lasdi.param.ParameterSpace.createInitialTrainSpaceForHull" title="Permalink to this definition"></a></dt>
-<dd><dl>
-<dt>Concatenates the provided lists of training points into a 2D array.</dt><dd><p>param_list: A list of parameter dictionaries</p>
+<dd><p>Concatenates the provided lists of training points into a 2D array.</p>
+<p>param_list: A list of parameter dictionaries</p>
 <dl class="simple">
 <dt>Output: mesh_grid</dt><dd><ul class="simple">
 <li><p>np.array of size [d, k], where d is the number of points provided on the exterior of
 the training space and k is the number of parameters (k == len(param_list)).</p></li>
 </ul>
 </dd>
 </dl>
-</dd>
-</dl>
 </dd></dl>
 
 <dl class="py method">
@@ -228,11 +226,9 @@ <h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalin
 <dl class="py method">
 <dt class="sig sig-object py" id="lasdi.param.ParameterSpace.createTestGridSpaceForHull">
 <span class="sig-name descname"><span class="pre">createTestGridSpaceForHull</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#lasdi.param.ParameterSpace.createTestGridSpaceForHull" title="Permalink to this definition"></a></dt>
-<dd><dl>
-<dt>Builds an initial uniform grid for the testing parameters when the test_space is ‘hull’.</dt><dd><p>param_list: A list of parameter dictionaries</p>
+<dd><p>Builds an initial uniform grid for the testing parameters when the test_space is ‘hull’.</p>
+<p>param_list: A list of parameter dictionaries</p>
 <p>Output: gridSizes, mesh_grids, param_grid</p>
-</dd>
-</dl>
 </dd></dl>
 
 <dl class="py method">
@@ -241,10 +237,8 @@ <h2>Module Contents<a class="headerlink" href="#module-contents" title="Permalin
 <dd><p>This function builds an initial uniform grid for the testing parameters, and then
 returns any testing points which are within the convex hull of the provided
 training parameters.</p>
-<blockquote>
-<div><p>param_list: A list of parameter dictionaries</p>
+<p>param_list: A list of parameter dictionaries</p>
 <p>Output: gridSizes, mesh_grids, test_space</p>
-</div></blockquote>
 </dd></dl>
 
 <dl class="py method">