checkNotNull(multiset1);
    checkNotNull(multiset2);

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

      @Override
      Set<E> createElementSet() {

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

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

...this would work:

```JSON
{
    "item_id": "foo-item",
    "needy": "sooooneedy"
}
```

And of course, you can define some parameters as required, some as having a default value, and some entirely optional:

{* ../../docs_src/query_params/tutorial006_py310.py hl[8] *}

In this case, there are 3 query parameters:

		t.Helper()
		if err != nil {
			t.Fatal(err)
		}
	}

	// Add a version with tiered content, one with local content
	xl := xlMetaV2{}
	counter := 1
	report := func() {
		t.Helper()
		// t.Logf("versions (%d): len = %d", counter, len(xl.versions))
		counter++
	}
	fi := FileInfo{
		Volume:           "volume",
		Name:             "object-name",
		VersionID:        "00000000-0000-0000-0000-000000000001",

<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.

    }

    @Test
    @DisplayName("Test run method")
    void testRunMethod() throws Exception {
        AtomicInteger counter = new AtomicInteger(0);

        circuitBreaker.run(() -> counter.incrementAndGet());
        assertEquals(1, counter.get());

        SimpleCircuitBreaker.Statistics stats = circuitBreaker.getStatistics();
        assertEquals(1, stats.totalCalls);

     * Gets the total number of records in the search result set.
     *
     * @return the total record count
     */
    public long getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Gets the relation type for the total record count.
     *
     * @return the relation type (e.g., "eq" for exact count, "gte" for greater than or equal)
     */
    public String getAllRecordCountRelation() {

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.

{"attributes":{"fields":"[{\"name\":\"_id\",\"type\":\"string\",\"esTypes\":[\"_id\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_index\",\"type\":\"string\",\"esTypes\":[\"_index\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_score\",\"type\":\"number\",\"count\":0,\"scripted\":false,\"searchable\":false,\"aggregatable\":false,\"readFromDocValues\":fal...

  }

  /**
   * Specifies a nanosecond-precision time source for this cache. By default, {@link
   * System#nanoTime} is used.
   *
   * <p>The primary intent of this method is to facilitate testing of caches with a fake or mock
   * time source.
   *
   * @return this {@code CacheBuilder} instance (for chaining)