* @param self a collection which might contain all elements in {@code c}
   * @param c a collection whose elements might be contained by {@code self}
   */
  static boolean containsAllImpl(Collection<?> self, Collection<?> c) {
    for (Object o : c) {
      if (!self.contains(o)) {
        return false;
      }
    }
    return true;
  }

  /** An implementation of {@link Collection#toString()}. */

	# /tmp/xxx/mnt/disk4 will be the same as '/' and it
	# will be detected as root disk
	while [ "$u" != "0" ]; do
		sudo umount ${WORK_DIR}/mnt/disk4/
		u=$?
		sleep 1
	done

	# Wait until MinIO self heal kicks in
	sleep 60

	if [ -f ${WORK_DIR}/mnt/disk4/.minio.sys/format.json ]; then
		echo "A root disk is formatted unexpectedely"
		cat "${WORK_DIR}/server4.log"
		exit -1
	fi
}

function cleanup() {

    void setValue(E entry, V value) {
      this.map.entryHelper.setValue(self(), entry, value);
    }

    /** Returns a copy of the given {@code entry}. */
    @CheckForNull
    E copyEntry(E original, E newNext) {
      return this.map.entryHelper.copy(self(), original, newNext);
    }

    AtomicReferenceArray<E> newEntryArray(int size) {

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

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

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


fluffy = Cat(name="Mr Fluffy")
```

在这个例子中, `fluffy` 是一个 `Cat` 类的实例。

为了创建 `fluffy`，你调用了 `Cat` 。

所以，Python 类也是 **可调用对象**。

因此，在 **FastAPI** 中，你可以使用一个 Python 类作为一个依赖项。

import okhttp3.mockwebserver.MockResponse;
import okhttp3.mockwebserver.MockWebServer;
import okhttp3.tls.HandshakeCertificates;
import okhttp3.tls.HeldCertificate;

/**
 * Create an HTTPS server with a self-signed certificate that OkHttp trusts.
 */
public class HttpsServer {
  public void run() throws Exception {
    HeldCertificate localhostCertificate = new HeldCertificate.Builder()

    }
  }

  @Test
  fun testBuildIfSupported() {
    val actual = OpenJSSEPlatform.buildIfSupported()
    assertThat(actual).isNotNull()
  }

  private fun enableTls() {
    // Generate a self-signed cert for the server to serve and the client to trust.
    // can't use TlsUtil.localhost with a non OpenJSSE trust manager
    val heldCertificate =
      HeldCertificate.Builder()
        .commonName("localhost")

    tags:
      - v2.**
  schedule:
    - cron: '0 2 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |

!important;\n}\n\n.align-content-stretch {\n  align-content: stretch !important;\n}\n\n.align-self-auto {\n  align-self: auto !important;\n}\n\n.align-self-start {\n  align-self: flex-start !important;\n}\n\n.align-self-end {\n  align-self: flex-end !important;\n}\n\n.align-self-center {\n  align-self: center !important;\n}\n\n.align-self-baseline {\n  align-self: baseline !important;\n}\n\n.align-self-stretch {\n  align-self: stretch !important;\n}\n\n@media (min-width: 576px) {\n  .flex-sm-row {\n    flex-direction:...

!important;\n}\n\n.align-content-stretch {\n  align-content: stretch !important;\n}\n\n.align-self-auto {\n  align-self: auto !important;\n}\n\n.align-self-start {\n  align-self: flex-start !important;\n}\n\n.align-self-end {\n  align-self: flex-end !important;\n}\n\n.align-self-center {\n  align-self: center !important;\n}\n\n.align-self-baseline {\n  align-self: baseline !important;\n}\n\n.align-self-stretch {\n  align-self: stretch !important;\n}\n\n@media (min-width: 576px) {\n  .flex-sm-row {\n    flex-direction:...

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


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

Und um `fluffy` zu erzeugen, rufen Sie `Cat` auf.