http.Server
	Addrs         []string      // addresses on which the server listens for new connection.
	TCPOptions    TCPOptions    // all the configurable TCP conn specific configurable options.
	listenerMutex sync.Mutex    // to guard 'listener' field.
	listener      *httpListener // HTTP listener for all 'Addrs' field.
	inShutdown    uint32        // indicates whether the server is in shutdown or not

// The result channel is closed when no more results are expected.
func (z *erasureServerPools) listMerged(ctx context.Context, o listPathOptions, results chan<- metaCacheEntry) error {
	var mu sync.Mutex
	var wg sync.WaitGroup
	var errs []error
	allAtEOF := true
	var inputs []chan metaCacheEntry
	mu.Lock()
	// Ask all sets and merge entries.
	listCtx, cancelList := context.WithCancel(ctx)

### Was ist ein Programm?

Das Wort **Programm** wird häufig zur Beschreibung vieler Dinge verwendet:

* Der **Code**, den Sie schreiben, die **Python-Dateien**.
* Die **Datei**, die vom Betriebssystem **ausgeführt** werden kann, zum Beispiel: `python`, `python.exe` oder `uvicorn`.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

## Beispiel

### Erstellung

* Erstellen Sie eine Datei `main.py` mit:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Im Hintergrund erstellt das `open("./somefile.txt")` ein Objekt, das als „Kontextmanager“ bezeichnet wird.

Dieser stellt sicher dass, wenn der `with`-Block beendet ist, die Datei geschlossen wird, auch wenn Exceptions geworfen wurden.

#include "tensorflow/core/framework/cancellation.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/util/device_name_utils.h"
#include "tsl/platform/errors.h"
#include "tsl/platform/thread_annotations.h"

namespace tensorflow {
namespace parallel_device {
namespace {

		readCloser: readCloser,
	}
}

// syncReadCloser will wrap a readcloser and make it safe to call Close while
// reads are running.
type syncReadCloser struct {
	rc io.ReadCloser
	mu sync.Mutex
}

func (pr *syncReadCloser) Read(p []byte) (n int, err error) {
	// This ensures that Close will block until Read has completed.
	// This allows another goroutine to close the reader.
	pr.mu.Lock()

	"istio.io/istio/pkg/network"
	"istio.io/istio/pkg/uds"
)

var (
	pluginLog = scopes.CNIPlugin
	log       = scopes.CNIAgent
)

type UDSLogger struct {
	mu            sync.Mutex
	loggingServer *http.Server
}

type cniLog struct {
	Level     string         `json:"level"`
	Time      time.Time      `json:"time"`
	Msg       string         `json:"msg"`
	Arbitrary map[string]any `json:"-"`
}

type onceErr struct {
	Err   error
	Count int
}

// Holds a map of recently logged errors.
type logOnceType struct {
	IDMap map[string]onceErr
	sync.Mutex
}

func (l *logOnceType) logOnceConsoleIf(ctx context.Context, subsystem string, err error, id string, errKind ...interface{}) {
	if err == nil {
		return
	}

	nerr := unwrapErrs(err)
	l.Lock()

#include "tensorflow/core/platform/blocking_counter.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/init_main.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/net.h"
#include "tensorflow/core/platform/platform.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/protobuf/config.pb.h"