${packaging.scripts.header}

#
# This script is executed in the pre-remove phase
#
#   On Debian,
#       $1=remove    : indicates a removal
#       $1=upgrade   : indicates an upgrade
#
#   On RedHat,
#       $1=0         : indicates a removal
#       $1=1         : indicates an upgrade



STOP_REQUIRED=false

case "$1" in

    # Debian ####################################################
    remove)

Wenn Sie für drei Server bezahlen, aber nur wenig von deren RAM und CPU nutzen, **verschwenden Sie wahrscheinlich Geld** 💸 und wahrscheinlich **Strom für den Server** 🌎, usw.

In diesem Fall könnte es besser sein, nur zwei Server zu haben und einen höheren Prozentsatz von deren Ressourcen zu nutzen (CPU, Arbeitsspeicher, Festplatte, Netzwerkbandbreite, usw.).

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

0.082 responseBodyStart
0.082 responseBodyEnd
0.083 connectionReleased
0.083 callEnd
```

Notice how no connect events are fired for the second call. It reused the connection from the first request for dramatically better performance.

### EventListener.Factory

            * **FastAPI** adds a reference here to the global JSON Schemas in another place in your OpenAPI instead of including it directly. This way, other applications and clients can use those JSON Schemas directly, provide better code generation tools, etc.

///

The generated responses in the OpenAPI for this *path operation* will be:

```JSON hl_lines="3-12"
{
    "responses": {
        "404": {

#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/tfe_cancellation_manager_internal.h"  // IWYU pragma: export
#include "tensorflow/c/eager/tfe_executor_internal.h"  // IWYU pragma: export
#include "tensorflow/c/eager/tfe_monitoring_internal.h"  // IWYU pragma: export
#include "tensorflow/c/eager/tfe_op_attrs_internal.h"  // IWYU pragma: export

 * better) behavior</a> when multiple threads attempt concurrent mutations. Its equivalent to {@code
 * CacheBuilder} is its <a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/Caffeine.html">{@code
 * Caffeine}</a> class. Caffeine offers better performance, more features (including asynchronous

		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

	vars := mux.Vars(r)
	bucket := vars["bucket"]

	// PutBucketLifecycle always needs a Content-Md5
	if _, ok := r.Header[xhttp.ContentMD5]; !ok {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrMissingContentMD5), r.URL)
		return
	}

    server.enqueue(MockResponse(code = 204))

    val endpointUrl = server.url("/endpoint")

    var request =
      Request.Builder()
        .url(endpointUrl)
        .header("Content-Type", "application/xml")
        .put(ValidRequestBody())
        .build()
    client.newCall(request).execute().use {
      assertEquals(201, it.code)
    }

    request =

 * if (forceCacheResponse.code() != 504) {
 *   // The resource was cached! Show it.
 * } else {
 *   // The resource was not cached.
 * }
 * ```
 *
 * This technique works even better in situations where a stale response is better than no response.
 * To permit stale cached responses, use the `max-stale` directive with the maximum staleness in
 * seconds:
 *
 * ```java
 * Request request = new Request.Builder()