something()
```

oder

```Python
something(some_argument, some_keyword_argument="foo")
```

dann ist das ein „Callable“ (ein „Aufrufbares“).

## Klassen als Abhängigkeiten

Möglicherweise stellen Sie fest, dass Sie zum Erstellen einer Instanz einer Python-Klasse die gleiche Syntax verwenden.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

    if (writerTask != null) {
      taskQueue.schedule(writerTask)
    }
  }

  /**
   * Attempts to remove a single frame from a queue and send it. This prefers to write urgent pongs
   * before less urgent messages and close frames. For example it's possible that a caller will
   * enqueue messages followed by pongs, but this sends pongs followed by messages. Pongs are always
   * written in the order they were enqueued.
   *

   * This is December 31, 9999 if the cookie is not [persistent], in which case it will expire at the
   * end of the current session.
   *
   * This may return a value less than the current time, in which case the cookie is already
   * expired. Webservers may return expired cookies as a mechanism to delete previously set cookies
   * that may or may not themselves be expired.
   */

```
$ ./gradlew okcurl:nativeImage
$ ./okcurl/build/graal/okcurl https://cash.app/robots.txt
```

This is our first release that supports GraalVM. Our code on this platform is less mature than JVM
and Android! Please report any issues you encounter: we'll fix them urgently.

 *  Fix: Attempt to read the response body even if the server canceled the request. This will cause

        stream = getStream(streamId)

        if (stream == null) {
          // If we're shutdown, don't bother with this stream.
          if (isShutdown) return

          // If the stream ID is less than the last created ID, assume it's already closed.
          if (streamId <= lastGoodStreamId) return

          // If the stream ID is in the client's namespace, assume it's already closed.

filegroup(
    name = "tensorflow_def_file",
    srcs = [":tf_custom_op_library_additional_deps.dll"],
    output_group = "def_file",
)

# Filter the DEF file to reduce the number of symbols to 64K or less.
# Note that we also write the name of the pyd file into DEF file so that
# the dynamic libraries of custom ops can find it at runtime.
genrule(
    name = "tensorflow_filtered_def_file",

        `tf.acosh`, `tf.add`, `tf.as_string`, `tf.asin`, `tf.asinh`, `tf.atan`,
        `tf.atan2`, `tf.atanh`, `tf.cos`, `tf.cosh`, `tf.equal`, `tf.exp`,
        `tf.floor`, `tf.greater`, `tf.greater_equal`, `tf.less`,
        `tf.less_equal`, `tf.log`, `tf.logp1`, `tf.logical_and`,
        `tf.logical_not`, `tf.logical_or`, `tf.maximum`, `tf.minimum`,
        `tf.not_equal`, `tf.sin`, `tf.sinh`, `tf.tan`
    *   Deprecate `tf.data.Dataset.shard`.

Und Sie können auch Validierungen für Zahlen deklarieren:

* `gt`: `g`reater `t`han – größer als
* `ge`: `g`reater than or `e`qual – größer oder gleich
* `lt`: `l`ess `t`han – kleiner als
* `le`: `l`ess than or `e`qual – kleiner oder gleich

!!! info
    `Query`, `Path`, und andere Klassen, die Sie später kennenlernen, sind Unterklassen einer allgemeinen `Param`-Klasse.

А также вы можете добавить валидацию числовых данных:

* `gt`: больше (`g`reater `t`han)
* `ge`: больше или равно (`g`reater than or `e`qual)
* `lt`: меньше (`l`ess `t`han)
* `le`: меньше или равно (`l`ess than or `e`qual)

!!! info "Информация"
    `Query`, `Path` и другие классы, которые мы разберём позже, являются наследниками общего класса `Param`.

  // +optional
  optional string reason = 2;

  // AuditAnnotations will be added to the attributes object of the
  // admission controller request using 'AddAnnotation'.  The keys should
  // be prefix-less (i.e., the admission controller will add an
  // appropriate prefix).
  // +optional
  map<string, string> auditAnnotations = 3;