# Cookie-Parameter

So wie `Query`- und `Path`-Parameter können Sie auch <abbr title='Cookie – „Keks“: Mechanismus, der kurze Daten in Textform im Browser des Benutzers speichert und abfragt'>Cookie</abbr>-Parameter definieren.

## `Cookie` importieren

Importieren Sie zuerst `Cookie`:

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/cookie_params/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

 * which has a method {@code getChildren()} that retrieves its successors in a graph:
 *
 * <pre>{@code
 * someGraphAlgorithm(startNode, MyNode::getChildren);
 * }</pre>
 *
 * <p>If you have some other mechanism for returning the successors of a node, or one that doesn't
 * return an {@code Iterable<? extends N>}, then you can use a lambda to perform a more general
 * transformation:
 *
 * <pre>{@code

        }

        return new String(out, 0, j);
    }


    /**
     * @param mechanism
     * @return whether the given mechanism is the preferred one for this credential
     */
    public boolean isPreferredMech ( ASN1ObjectIdentifier mechanism ) {
        return NtlmContext.NTLMSSP_OID.equals(mechanism);
    }


    /**
     * Computes the 24 byte ANSI password hash given the 8 byte server challenge.

     */
    @Override
    public boolean isPreferredMech ( ASN1ObjectIdentifier mechanism ) {
        if ( isAnonymous() ) {
            return super.isPreferredMech(mechanism);
        }
        return PREFERRED_MECHS.contains(mechanism);
    }


    /**
     * {@inheritDoc}
     *
     * @see java.lang.Object#toString()
     */
    @Override

     * crawlers to retrieve only a subset of the Sitemaps in the index i.e. a
     * crawler may only retrieve Sitemaps that were modified since a certain
     * date. This incremental Sitemap fetching mechanism allows for the rapid
     * discovery of new URLs on very large sites.
     */
    private String lastmod;

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.fess.crawler.entity.Sitemap#getLoc()

*   Pins `numpy` to 1.18.5 to prevent ABI breakage when compiling code that uses
    both NumPy and TensorFlow headers.

# Release 2.3.0

## Major Features and Improvements

*   `tf.data` adds two new mechanisms to solve input pipeline bottlenecks and
    save resources:

    *   [snapshot](https://www.tensorflow.org/api_docs/python/tf/data/experimental/snapshot)

# Decommissioning

Decommissiong is a mechanism in MinIO to drain older pools (usually with old hardware) and migrate the content from such pools to a newer pools (usually better hardware). Decommissioning spreads the data across all pools - for example, if you decommission `pool1`, all the data from `pool1` spreads across `pool2` and `pool3`.

## Features

			Optional:    true,
			Type:        "string",
			Sensitive:   true,
			Secret:      true,
		},
		config.HelpKV{
			Key:         KafkaSASLMechanism,
			Description: "sasl authentication mechanism, default 'plain'",
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         KafkaTLSClientAuth,
			Description: "clientAuth determines the Kafka server's policy for TLS client auth",

sasl_username    (string)    username for SASL/PLAIN or SASL/SCRAM authentication
sasl_password    (string)    password for SASL/PLAIN or SASL/SCRAM authentication
sasl_mechanism   (string)    sasl authentication mechanism, default 'plain'
tls_client_auth  (string)    clientAuth determines the Kafka server's policy for TLS client auth
sasl             (on|off)    set to 'on' to enable SASL authentication

### Technical Details: `root_path`

When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`.

That way, the sub-application will know to use that path prefix for the docs UI.