diff --git a/1.25/reference/generated/numpy.vectorize.html b/1.25/reference/generated/numpy.vectorize.html
index 994b2ccd5..8c63bb7e3 100644
--- a/1.25/reference/generated/numpy.vectorize.html
+++ b/1.25/reference/generated/numpy.vectorize.html
@@ -676,19 +676,20 @@ <h1>numpy.vectorize<a class="headerlink" href="#numpy-vectorize" title="Permalin
 </div>
 <p>Decorator syntax is supported.  The decorator can be called as
 a function to provide keyword arguments.
-&gt;&gt;&gt;&#64;np.vectorize
-…def identity(x):
-…    return x
-…
-&gt;&gt;&gt;identity([0, 1, 2])
-array([0, 1, 2])
-&gt;&gt;&gt;&#64;np.vectorize(otypes=[float])
-…def as_float(x):
-…    return x
-…
-&gt;&gt;&gt;as_float([0, 1, 2])
-array([0., 1., 2.])</p>
-<p class="rubric">Methods</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nd">@np</span><span class="o">.</span><span class="n">vectorize</span>
+<span class="gp">... </span><span class="k">def</span> <span class="nf">identity</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">x</span>
+<span class="gp">...</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">identity</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="go">array([0, 1, 2])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nd">@np</span><span class="o">.</span><span class="n">vectorize</span><span class="p">(</span><span class="n">otypes</span><span class="o">=</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span>
+<span class="gp">... </span><span class="k">def</span> <span class="nf">as_float</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">x</span>
+<span class="gp">...</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">as_float</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="go">array([0., 1., 2.])</span>
+</pre></div>
+</div><p class="rubric">Methods</p>
 <table class="autosummary longtable table autosummary">
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="numpy.vectorize.__call__.html#numpy.vectorize.__call__" title="numpy.vectorize.__call__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__call__</span></code></a>(*args, **kwargs)</p></td>
@@ -803,4 +804,4 @@ <h1>numpy.vectorize<a class="headerlink" href="#numpy-vectorize" title="Permalin
 
   </footer>
   </body>
-</html>
\ No newline at end of file
+</html>
diff --git a/1.26/reference/generated/numpy.vectorize.html b/1.26/reference/generated/numpy.vectorize.html
index 5e2f91e01..4beeb5bb3 100644
--- a/1.26/reference/generated/numpy.vectorize.html
+++ b/1.26/reference/generated/numpy.vectorize.html
@@ -783,19 +783,20 @@ <h1>numpy.vectorize<a class="headerlink" href="#numpy-vectorize" title="Permalin
 </div>
 <p>Decorator syntax is supported.  The decorator can be called as
 a function to provide keyword arguments.
-&gt;&gt;&gt;&#64;np.vectorize
-…def identity(x):
-…    return x
-…
-&gt;&gt;&gt;identity([0, 1, 2])
-array([0, 1, 2])
-&gt;&gt;&gt;&#64;np.vectorize(otypes=[float])
-…def as_float(x):
-…    return x
-…
-&gt;&gt;&gt;as_float([0, 1, 2])
-array([0., 1., 2.])</p>
-<p class="rubric">Methods</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nd">@np</span><span class="o">.</span><span class="n">vectorize</span>
+<span class="gp">... </span><span class="k">def</span> <span class="nf">identity</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">x</span>
+<span class="gp">...</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">identity</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="go">array([0, 1, 2])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nd">@np</span><span class="o">.</span><span class="n">vectorize</span><span class="p">(</span><span class="n">otypes</span><span class="o">=</span><span class="p">[</span><span class="nb">float</span><span class="p">])</span>
+<span class="gp">... </span><span class="k">def</span> <span class="nf">as_float</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">x</span>
+<span class="gp">...</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">as_float</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+<span class="go">array([0., 1., 2.])</span>
+</pre></div>
+</div><p class="rubric">Methods</p>
 <table class="autosummary longtable table autosummary">
 <tbody>
 <tr class="row-odd"><td><p><a class="reference internal" href="numpy.vectorize.__call__.html#numpy.vectorize.__call__" title="numpy.vectorize.__call__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__call__</span></code></a>(*args, **kwargs)</p></td>
@@ -859,4 +860,4 @@ <h1>numpy.vectorize<a class="headerlink" href="#numpy-vectorize" title="Permalin
 </div>
 </footer>
   </body>
-</html>
\ No newline at end of file
+</html>