Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

or for a more complex `Item` model:

```Python
item: Item
```

...and with that single declaration you get:

* Editor support, including:
    * Completion.
    * Type checks.
* Validation of data:
    * Automatic and clear errors when the data is invalid.

injection system requires pre-registration of the dependencies and the dependencies are solved based on the declared types. So, it's not possible to declare more than one "component" that provides a certain type.

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in...

						<descriptor>${basedir}/src/main/assemblies/zip-bin.xml</descriptor>
					</descriptors>
				</configuration>
				<executions>
					<execution>
						<phase>package</phase>
						<goals>
							<goal>single</goal>
						</goals>
					</execution>
				</executions>
			</plugin>
			<!-- deb -->
			<plugin>
				<groupId>org.vafer</groupId>
				<artifactId>jdeb</artifactId>
				<configuration>

Per-call Configuration ([.kt][PerCallSettingsKotlin], [.java][PerCallSettingsJava])

All the HTTP client configuration lives in `OkHttpClient` including proxy settings, timeouts, and caches. When you need to change the configuration of a single call, call `OkHttpClient.newBuilder()`. This returns a builder that shares the same connection pool, dispatcher, and configuration with the original client. In the example below, we make one request with a 500 ms timeout and another with a 3000 ms...

  @SuppressWarnings("unchecked")
  public static <E> ImmutableList<E> of() {
    return (ImmutableList<E>) EMPTY;
  }

  /**
   * Returns an immutable list containing a single element. This list behaves and performs
   * comparably to {@link Collections#singletonList}, but will not accept a null element. It is
   * preferable mainly for consistency and maintainability of your code.
   *

  public static <E> ImmutableSortedMultiset<E> of() {
    return (ImmutableSortedMultiset) RegularImmutableSortedMultiset.NATURAL_EMPTY_MULTISET;
  }

  /** Returns an immutable sorted multiset containing a single element. */
  public static <E extends Comparable<? super E>> ImmutableSortedMultiset<E> of(E e1) {
    RegularImmutableSortedSet<E> elementSet =
        (RegularImmutableSortedSet<E>) ImmutableSortedSet.of(e1);

		return
	}

	// A client may send a certificate chain such that we end up
	// with multiple peer certificates. However, we can only accept
	// a single client certificate. Otherwise, the certificate to
	// policy mapping would be ambiguous.
	// However, we can filter all CA certificates and only check
	// whether they client has sent exactly one (non-CA) leaf certificate.

* Added anti-affinity to kube-dns pods. Otherwise the "no single point of failure" setting doesn't actually work (a single node failure can still take down the entire cluster). ([#57683](https://github.com/kubernetes/kubernetes/pull/57683), [@vainu-arto](https://github.com/vainu-arto))

### API-Machinery

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

	if askDisks == -1 {
		newDisks := getQuorumDisks(disks, infos, (len(disks)+1)/2)
		if newDisks != nil {
			// If we found disks signature in quorum, we proceed to list
			// from a single drive, shuffling of the drives is subsequently.
			disks = newDisks
			askDisks = 1
		} else {
			// If we did not find suitable disks, perform strict quorum listing
			// as no disk agrees on quorum anymore.