}

        if (log.isDebugEnabled()) {
            log.debug("Service name is " + this.serviceName);
        }

        if (name != null) {
            this.clientName = manager.createName(name, GSSName.NT_USER_NAME, mechOid);
            clientCreds = manager.createCredential(this.clientName, userLifetime, mechOid, GSSCredential.INITIATE_ONLY);
        } else {

def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

succeeded except for the part where the new replication controller is renamed back to the old name. You can just do another rolling update using kubectl 1.4 or higher to change the name back: look for a replication controller that has the original name plus a random suffix.

Unfortunately, there is a much rarer second possible failure mode: the replication controller gets renamed to the old name, but there is a duplicated set of pods in the cluster. kubectl will not report an error since...

 */

package jcifs.smb1.smb1;

class TransWaitNamedPipe extends SmbComTransaction {

    TransWaitNamedPipe(final String pipeName) {
        name = pipeName;
        command = SMB_COM_TRANSACTION;
        subCommand = TRANS_WAIT_NAMED_PIPE;
        timeout = 0xFFFFFFFF;
        maxParameterCount = 0;
        maxDataCount = 0;
        maxSetupCount = (byte) 0x00;

    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_role("button", name="POST /data Post Data").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/json-base64-bytes/image01.png")

    # ---------------------
    context.close()
    browser.close()

# Default-Stop:      0 1 6
# Short-Description: Starts fess
# Description:       Starts fess using start-stop-daemon
### END INIT INFO

PATH=/bin:/usr/bin:/sbin:/usr/sbin
NAME=fess
DESC="Fess Server"
DEFAULT=/etc/default/$NAME

if [ `id -u` -ne 0 ]; then
	echo "You need root privileges to run this script"
	exit 1
fi


. /lib/lsb/init-functions

if [ -r /etc/default/rcS ]; then
	. /etc/default/rcS

            System.setProperty("javax.net.debug", "")
          }
        } else if (platformSystemProperty == CONSCRYPT_PROPERTY) {
          if (Security.getProviders()[0].name != "Conscrypt") {
            if (!Conscrypt.isAvailable()) {
              System.err.println("Warning: Conscrypt not available")
            }

            val provider =
              Conscrypt

    if (pushedLimit != -1L && newLimit > pushedLimit) {
      throw ProtocolException("enclosed object too large")
    }

    limit = newLimit
    constructed = header.constructed
    if (name != null) path += name
    try {
      val result = block(header)

      // The object processed bytes beyond its range.
      if (newLimit != -1L && byteCount > newLimit) {

        SMBUtil.writeInt2(0x20, ctx, ci + 2); // DataOffset
        ci += 4;
        SMBUtil.writeInt4(8, ctx, ci); // DataLength
        ci += 4;
        // Name bytes at 0x10
        byte[] name = new byte[] { 'T', 'E', 'S', 'T' };
        System.arraycopy(name, 0, ctx, 0x10, name.length);
        // Data bytes at 0x20
        byte[] data = new byte[] { 1, 2, 3, 4, 5, 6, 7, 8 };
        System.arraycopy(data, 0, ctx, 0x20, data.length);

```

这就是 "可调用对象"。

## 类作为依赖项 { #classes-as-dependencies_1 }

你可能会注意到，要创建一个 Python 类的实例，你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。