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diff --git a/cloud-storage.html b/cloud-storage.html
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diff --git a/crew.html b/crew.html
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@@ -458,8 +458,8 @@ <h2 data-number="13.2" class="anchored" data-anchor-id="example"><span class="he
 <div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># R console</span></span>
 <span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a><span class="fu">tar_visnetwork</span>(<span class="at">targets_only =</span> <span class="cn">TRUE</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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 <p>Run the pipeline with a simple call to <a href="https://docs.ropensci.org/targets/reference/tar_make.html"><code>tar_make()</code></a>. Please note that real-life pipelines will have longer execution times, especially for the models.</p>
@@ -471,18 +471,18 @@ <h2 data-number="13.2" class="anchored" data-anchor-id="example"><span class="he
 <pre><code>#&gt; ▶ dispatched target data
 #&gt; ● completed target data [0 seconds]
 #&gt; ▶ dispatched target model1
-#&gt; ● completed target model1 [0 seconds]
+#&gt; ● completed target model1 [0.001 seconds]
 #&gt; ▶ dispatched target model2
 #&gt; ● completed target model2 [0 seconds]
 #&gt; ▶ dispatched target model3
 #&gt; ● completed target model3 [0 seconds]
 #&gt; ▶ dispatched target plot1
-#&gt; ● completed target plot1 [0.001 seconds]
+#&gt; ● completed target plot1 [0 seconds]
 #&gt; ▶ dispatched target plot2
 #&gt; ● completed target plot2 [0.001 seconds]
 #&gt; ▶ dispatched target plot3
 #&gt; ● completed target plot3 [0 seconds]
-#&gt; ▶ ended pipeline [0.086 seconds]</code></pre>
+#&gt; ▶ ended pipeline [0.089 seconds]</code></pre>
 </div>
 <p>Let’s talk through what happens in the above call to <a href="https://docs.ropensci.org/targets/reference/tar_make.html"><code>tar_make()</code></a>. First, a new worker launches and sends the <code>data</code> target to the <code>crew</code> queue. After the <code>data</code> target completes, all three models are ready to begin. A second worker automatically launches to meet the increased demand of the workload, and each of the two workers starts to run a model. After one of the models finishes, its worker is free to either run the downstream plot or the third model. The process continues until all the targets are complete. The workers shut down when the pipeline is done.</p>
 </section>

diff --git a/data.html b/data.html
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@@ -490,8 +490,8 @@ <h2 data-number="10.3" class="anchored" data-anchor-id="external-files"><span cl
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 <p>Before the pipeline first runs, <code>data.csv</code> exists, but <code>output.csv</code> does not. During <code>tar_make()</code>, the <code>input</code> target tracks <code>data.csv</code>, and the <code>output</code> target creates and tracks <code>output.csv</code>. If <code>data.csv</code> changes before the next <code>tar_make()</code>, then both <code>input</code> and <code>output</code> rerun. If something outside the pipeline changes <code>output.csv</code>, then <code>output</code> reruns.</p>

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