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<html>
<h2>ParDo</h2>
<p>
ParDo is a Beam transform for generic parallel processing. The ParDo processing paradigm is
similar to the “Map” phase of a Map/Shuffle/Reduce-style algorithm: a ParDo transform considers
each element in the input PCollection, performs some processing function (your user code) on
that element, and emits zero, one, or multiple elements to an output PCollection.
</p>
<p>
<b>Kata:</b> Please write a simple ParDo that maps the input element by multiplying it by 10.
</p>
<br>
<div class="hint">
Override <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.core.html#apache_beam.transforms.core.DoFn.process">
process</a> method.
</div>
<div class="hint">
Use <a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.core.html#apache_beam.transforms.core.ParDo">
ParDo</a> with
<a href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.core.html#apache_beam.transforms.core.DoFn">DoFn</a>.
</div>
<div class="hint">
Refer to the Beam Programming Guide
<a href="https://beam.apache.org/documentation/programming-guide/#pardo">"ParDo"</a> section for
more information.
</div>
</html>