e>.bi,.icon-link-hover:hover>.bi{transform:var(--bs-icon-link-transform,translate3d(.25em,0,0))}.ratio{position:relative;width:100%}.ratio::before{display:block;padding-top:var(--bs-aspect-ratio);content:""}.ratio>*{position:absolute;top:0;left:0;width:100%;height:100%}.ratio-1x1{--bs-aspect-ratio:100%}.ratio-4x3{--bs-aspect-ratio:75%}.ratio-16x9{--bs-aspect-ratio:56.25%}.ratio-21x9{--bs-aspect-ratio:42.8571428571%}.fixed-top{position:fixed;top:0;right:0;left:0;z-index:1030}.fixed-bottom{positio...

### Other (Cleanup or Flake)

- Improve error message when a pod with user namespaces is created and the runtime doesn't support user namespaces. ([#131781](https://github.com/kubernetes/kubernetes/pull/131781), [@rata](https://github.com/rata)) [SIG Node]

## Dependencies

### Added
_Nothing has changed._

### Changed
- github.com/Microsoft/hnslib: [v0.0.8 → v0.1.1](https://github.com/Microsoft/hnslib/compare/v0.0.8...v0.1.1)

pkg math/big, method (*Float) Parse(string, int) (*Float, int, error)
pkg math/big, method (*Float) Prec() uint
pkg math/big, method (*Float) Quo(*Float, *Float) *Float
pkg math/big, method (*Float) Rat(*Rat) (*Rat, Accuracy)
pkg math/big, method (*Float) Set(*Float) *Float
pkg math/big, method (*Float) SetFloat64(float64) *Float
pkg math/big, method (*Float) SetInf(bool) *Float
pkg math/big, method (*Float) SetInt(*Int) *Float

* update expose command description to add deployment ([#23246](https://github.com/kubernetes/kubernetes/pull/23246), [@AdoHe](https://github.com/AdoHe))
* Add a rate limiter to the GCE cloudprovider ([#23019](https://github.com/kubernetes/kubernetes/pull/23019), [@alex-mohr](https://github.com/alex-mohr))

 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable
 * responses. Although this client honors all [HTTP/1.1 (RFC 7234)][rfc_7234] cache headers, it
 * doesn't cache partial responses.
 *
 * ## Force a Network Response
 *

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

    }

    /**
     *
     */
    public static class Bean3 {

        /**
         *
         */
        public Date aaa;

    }

    /**
     * @author kato
     */
    public static class BeanNames {

        /**
         * CharSequenceを作成します。
         *
         * @param name
         * @return CharSequence
         */

# CL 101750048 math: implement Nextafter32, Robert Griesemer <******@****.***>
pkg math, func Nextafter32(float32, float32) float32

# CL 93550043 math/big: implement Rat.Float32, Robert Griesemer <******@****.***>
pkg math/big, method (*Rat) Float32() (float32, bool)

# CL 76540043 net/http: add BasicAuth method to *http.Request, Kelsey Hightower <******@****.***>

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return countBySkipping(in);
    } catch (IOException e) {
      // skip may not be supported... at any rate, try reading
    } finally {
      closer.close();
    }

    closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.exhaust(in);

Isso, somado ao simples fato que Python é a principal linguagem para **Data Science**, Aprendizado de Máquina e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Aprendizado de Máquina (entre muitas outras).