<font color="#4E9A06">│  API docs: http://0.0.0.0:8000/docs                 │</font>
 <font color="#4E9A06">│                                                     │</font>
 <font color="#4E9A06">│  Running in production mode, for development use:   │</font>
 <font color="#4E9A06">│                                                     │</font>

```

> The admin user running this command needs the "admin:SetTier" and "admin:ListTier" permissions if not running as root.

Using above tier, set up a lifecycle rule with transition:

```
 mc ilm add --expiry-days 365 --transition-days 45 --storage-class "AZURETIER" myminio/srcbucket
```

    return stream.readInt();
  }

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,
   * second value, and so on.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void writeMap(

    Runnable intCounter =
        new Runnable() {
          @Override
          public void run() {
            totalCalls.incrementAndGet();
            // Make sure that no other tasks are scheduled to run while this is running.
            assertFalse(fakePool.hasNext());
          }
        };

    assertFalse(fakePool.hasNext());
    e.execute(intCounter);
    // A task should have been scheduled
    assertTrue(fakePool.hasNext());

)

_T = TypeVar("_T")


@asynccontextmanager
async def contextmanager_in_threadpool(
    cm: ContextManager[_T],
) -> AsyncGenerator[_T, None]:
    # blocking __exit__ from running waiting on a free thread
    # can create race conditions/deadlocks if the context manager itself
    # has its own internal pool (e.g. a database connection pool)
    # to avoid this we let __exit__ run without a capacity limit

            if (SmbTransport.log.level >= 3)
                SmbTransport.log.println(
                    "Default credentials (jcifs.smb1.smb1.client.username/password)" +
                    " not specified. SMB signing may not work propertly." +
                    "  Skipping DC interrogation." );
        } else {
            SmbSession ssn = trans.getSmbSession( NtlmPasswordAuthentication.DEFAULT );

    Runnable intCounter =
        new Runnable() {
          @Override
          public void run() {
            totalCalls.incrementAndGet();
            // Make sure that no other tasks are scheduled to run while this is running.
            assertFalse(fakePool.hasNext());
          }
        };

    assertFalse(fakePool.hasNext());
    e.execute(intCounter);
    // A task should have been scheduled
    assertTrue(fakePool.hasNext());

 */
package org.codelibs.fess.app.web.api.admin.scheduler;

import org.codelibs.fess.app.web.admin.scheduler.EditForm;

public class EditBody extends EditForm {
    public Boolean running;

    * Bởi vì các cấu trúc dữ liệu của Pydantic chỉ là các instances của class bạn định nghĩa; auto-completion, linting, mypy và trực giác của bạn nên làm việc riêng biệt với những dữ liệu mà bạn đã validate.
* Validate **các cấu trúc phức tạp**:
    * Sử dụng các models Pydantic phân tầng, `List` và `Dict` của Python `typing`,...

    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
    * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。
* 验证**复杂结构**:
    * 使用分层的 Pydantic 模型, Python `typing`的 `List` 和 `Dict` 等等。
    * 验证器使我们能够简单清楚的将复杂的数据模式定义、检查并记录为 JSON Schema。
    * 你可以拥有深度**嵌套的 JSON** 对象并对它们进行验证和注释。
* **可扩展**: