deploy: 0ac06fb

Author: maxbachmann

_static/basic.css

@@ -741,14 +741,6 @@ abbr, acronym {
     cursor: help;
 }
 
-.translated {
-    background-color: rgba(207, 255, 207, 0.2)
-}
-
-.untranslated {
-    background-color: rgba(255, 207, 207, 0.2)
-}
-
 /* -- code displays --------------------------------------------------------- */
 
 pre {

_static/searchtools.js

@@ -513,9 +513,11 @@ const Search = {
     // perform the search on the required terms
     searchTerms.forEach((word) => {
       const files = [];
+      // find documents, if any, containing the query word in their text/title term indices
+      // use Object.hasOwnProperty to avoid mismatching against prototype properties
       const arr = [
-        { files: terms[word], score: Scorer.term },
-        { files: titleTerms[word], score: Scorer.title },
+        { files: terms.hasOwnProperty(word) ? terms[word] : undefined, score: Scorer.term },
+        { files: titleTerms.hasOwnProperty(word) ? titleTerms[word] : undefined, score: Scorer.title },
       ];
       // add support for partial matches
       if (word.length > 2) {
@@ -547,8 +549,9 @@ const Search = {
 
         // set score for the word in each file
         recordFiles.forEach((file) => {
-          if (!scoreMap.has(file)) scoreMap.set(file, {});
-          scoreMap.get(file)[word] = record.score;
+          if (!scoreMap.has(file)) scoreMap.set(file, new Map());
+          const fileScores = scoreMap.get(file);
+          fileScores.set(word, record.score);
         });
       });
 
@@ -587,7 +590,7 @@ const Search = {
         break;
 
       // select one (max) score for the file.
-      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file).get(w)));
       // add result to the result list
       results.push([
         docNames[file],

levenshtein.html

@@ -151,7 +151,7 @@ <h1>Levenshtein module<a class="headerlink" href="#levenshtein-module" title="Li
 <h2>distance<a class="headerlink" href="#distance" title="Link to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="Levenshtein.distance">
-<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_hint</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.distance" title="Link to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_hint</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.distance" title="Link to this definition"></a></dt>
 <dd><p>Calculates the minimum number of insertions, deletions, and substitutions
 required to change one sequence into the other according to Levenshtein with custom
 costs for insertion, deletion and substitution</p>
@@ -209,7 +209,7 @@ <h2>distance<a class="headerlink" href="#distance" title="Link to this heading">
 <h2>ratio<a class="headerlink" href="#ratio" title="Link to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="Levenshtein.ratio">
-<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.ratio" title="Link to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">ratio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.ratio" title="Link to this definition"></a></dt>
 <dd><p>Calculates a normalized indel similarity in the range [0, 1].
 The indel distance calculates the minimum number of insertions and deletions
 required to change one sequence into the other.</p>
@@ -258,7 +258,7 @@ <h2>ratio<a class="headerlink" href="#ratio" title="Link to this heading"></a
 <h2>hamming<a class="headerlink" href="#hamming" title="Link to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="Levenshtein.hamming">
-<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">hamming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.hamming" title="Link to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">hamming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#Levenshtein.hamming" title="Link to this definition"></a></dt>
 <dd><p>Calculates the Hamming distance between two strings.
 The hamming distance is defined as the number of positions
 where the two strings differ. It describes the minimum
@@ -296,7 +296,7 @@ <h2>hamming<a class="headerlink" href="#hamming" title="Link to this heading">
 <h2>jaro<a class="headerlink" href="#jaro" title="Link to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="Levenshtein.jaro">
-<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">jaro</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#Levenshtein.jaro" title="Link to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">jaro</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#Levenshtein.jaro" title="Link to this definition"></a></dt>
 <dd><p>Calculates the jaro similarity</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -324,7 +324,7 @@ <h2>jaro<a class="headerlink" href="#jaro" title="Link to this heading"></a><
 <h2>jaro_winkler<a class="headerlink" href="#jaro-winkler" title="Link to this heading"></a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="Levenshtein.jaro_winkler">
-<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">jaro_winkler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#Levenshtein.jaro_winkler" title="Link to this definition"></a></dt>
+<span class="sig-prename descclassname"><span class="pre">Levenshtein.</span></span><span class="sig-name descname"><span class="pre">jaro_winkler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s2</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#Levenshtein.jaro_winkler" title="Link to this definition"></a></dt>
 <dd><p>Calculates the jaro winkler similarity</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>