checkNotNull(multiset1);
    checkNotNull(multiset2);

    return new ViewMultiset<E>() {
      @Override
      public int count(@CheckForNull Object element) {
        int count1 = multiset1.count(element);
        return (count1 == 0) ? 0 : min(count1, multiset2.count(element));
      }

      @Override
      Set<E> createElementSet() {

    checkNotNull(multiset1);
    checkNotNull(multiset2);

    return new ViewMultiset<E>() {
      @Override
      public int count(@CheckForNull Object element) {
        int count1 = multiset1.count(element);
        return (count1 == 0) ? 0 : min(count1, multiset2.count(element));
      }

      @Override
      Set<E> createElementSet() {

Ben Leggett <******@****.***> 1727999639 -0400

  xml.namespace="http://maven.apache.org/EXTENSIONS/${version}"
  xml.schemaLocation="http://maven.apache.org/xsd/core-extensions-${version}.xsd">

  <id>core-extensions</id>
  <name>CoreExtensions</name>
  <description><![CDATA[
  <p>This is a reference for the Core Extensions descriptor.</p>
  <p>The default location for the Core Extensions descriptor file is <code>${maven.projectBasedir}/.mvn/extensions.xml</code></p>
  ]]></description>

## External Courses

Although the [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} and this **Advanced User Guide** are written as a guided tutorial (like a book) and should be enough for you to **learn FastAPI**, you might want to complement it with additional courses.

Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.

Sebastián Ramírez <******@****.***> 1728247014 +0200

Mais en prêtant attention aux tests de performance et aux comparaisons, il faut tenir compte de ce qu'il suit.

## Tests de performance et rapidité

Lorsque vous vérifiez les tests de performance, il est commun de voir plusieurs outils de différents types comparés comme équivalents.

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

<img src="/img/async/concurrent-burgers/concurrent-burgers-05.png" class="illustration">

While waiting and talking to your crush, from time to time, you check the number displayed on the counter to see if it's your turn already.

Then at some point, it finally is your turn. You go to the counter, get your burgers and come back to the table.

///

/// info

Of course, the actual `Content-Type` header, status code, etc, will come from the `Response` object you returned.

///

### Document in OpenAPI and override `Response`