---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

    Feel free to skip this.

    Peewee is not recommended with FastAPI as it doesn't play well with anything async Python. There are several better alternatives.

!!! info
    These docs assume Pydantic v1.

    Because Pewee doesn't play well with anything async and there are better alternatives, I won't update these docs for Pydantic v2, they are kept for now only for historical purposes.

	"slices"
	"strings"

	"github.com/prometheus/client_golang/prometheus"
	"github.com/prometheus/client_golang/prometheus/collectors"
)

// Collector paths.
//
// These are paths under the top-level /minio/metrics/v3 metrics endpoint. Each
// of these paths returns a set of V3 metrics.
//
// Per-bucket metrics endpoints always start with /bucket and the bucket name is

## What is "Dependency Injection"

**"Dependency Injection"** means, in programming, that there is a way for your code (in this case, your *path operation functions*) to declare things that it requires to work and use: "dependencies".

And then, that system (in this case **FastAPI**) will take care of doing whatever is needed to provide your code with those needed dependencies ("inject" the dependencies).

This is very useful when you need to:

  private var requestBodyOpen = false

  /** True if this call still has a response body open. */
  private var responseBodyOpen = false

  /** True if there are more exchanges expected for this call. */
  private var expectMoreExchanges = true

  // These properties are accessed by canceling threads. Any thread can cancel a call, and once it's
  // canceled it's canceled forever.

  @Volatile private var canceled = false

Most notably, this is only L4 resources.

Most of the API is fairly straight forward.
However, one interesting aspect is how these policies associate with workloads.
Istio's AuthorizationPolicy has label selectors.
However, we intentionally do not send those as part of the Workload API, in order to keep the size low.

The obvious solution to this is to put the list of selected workloads into the policy itself.

The following command generates a manifest with the compiled-in `default` profile and charts:

```bash
istioctl manifest generate
```

You can see these sources for the compiled-in profiles and charts in the repo under `manifests/`. These profiles and charts are also included in the Istio release tar.

#### Output to dirs

      for (Object o : elements) {
        Entry<?, ?> entry = (Entry<?, ?>) o;
        // These come from Entry<K, Collection<V>>> objects somewhere.
        @SuppressWarnings("unchecked")
        K key = (K) entry.getKey();
        keySet.add(key);
        for (Object v : (Collection<?>) entry.getValue()) {
          // These come from Entry<K, Collection<V>>> objects somewhere.
          @SuppressWarnings("unchecked")

 *   <li>[2001:db8::1]:80 - {@link #getHost()} omits brackets
 *   <li>2001:db8::1 - Use {@link #requireBracketsForIPv6()} to prohibit this
 * </ul>
 *
 * <p>Note that this is not an exhaustive list, because these methods are only concerned with
 * brackets, colons, and port numbers. Full validation of the host field (if desired) is the
 * caller's responsibility.
 *
 * @author Paul Marks
 * @since 10.0
 */
@Immutable

        annotation: Optional[Any] = None,
        alias: Optional[str] = None,
        alias_priority: Union[int, None] = _Unset,
        # TODO: update when deprecating Pydantic v1, import these types
        # validation_alias: str | AliasPath | AliasChoices | None
        validation_alias: Union[str, None] = None,
        serialization_alias: Union[str, None] = None,
        title: Optional[str] = None,