*   <li>Retrieval of the specific version of the toolchain.</li>
 *   <li>Configuration of toolchain properties to match the project's requirements.</li>
 * </ul>
 *
 * <p>Example usage:</p>
 * <pre>
 * Toolchain toolchain = ...; // Obtain a Toolchain instance
 * String type = toolchain.getType(); // Get the type of the toolchain
 * String version = toolchain.getVersion(); // Get the version of the toolchain

    @DisplayName("release() decrements usage; closes only when count reaches zero")
    void release_decrementsAndClosesOnZero() throws CIFSException {
        when(cfg.isTraceResourceUsage()).thenReturn(false);
        stubValidTree(8L, true, true);

        SmbFileHandleImpl h = new SmbFileHandleImpl(cfg, new byte[] { 1, 2, 3 }, tree, "//srv/share", 0, 0, 0, 0, 0L);

        // Increase usage to 2
        h.acquire();

 *
 * <p>
 * It includes constructors to initialize these details and getter and setter
 * methods to access and modify them.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 * <pre>
 * {@code
 * AuthScope authScope = new AuthScope("example.com", 80);
 * Credentials credentials = new UsernamePasswordCredentials("user", "password");

 *
 * <p>
 * It includes constructors to initialize these details and getter and setter
 * methods to access and modify them.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 * <pre>
 * {@code
 * AuthScope authScope = new AuthScope("example.com", 80);
 * Credentials credentials = new UsernamePasswordCredentials("user", "password".toCharArray());

* Y
* Z
```

## Consequences

* We start to use Architectural Decision Records
* We use the proposed template from this ADR
* We locate `.md` files in the folder `/architecture/standards`
* We highly encourage usage of ADR to communicate decisions

    * 生成的 schema 會指定其為 `str`，且 "format" 為 `binary`。
* `Decimal`：
    * 標準的 Python `Decimal`。
    * 在請求與回應中，與 `float` 的處理方式相同。
* 你可以在此查閱所有可用的 Pydantic 資料型別：[Pydantic 資料型別](https://docs.pydantic.dev/latest/usage/types/types/)。

## 範例 { #example }

以下是一個帶有參數、使用上述部分型別的 *路徑操作 (path operation)* 範例。

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

請注意，函式內的參數會是它們的自然資料型別，因此你可以進行一般的日期運算，例如：

    * 在请求和响应中被当作 `str` 处理。
    * 生成的模式将指定这个 `str` 是 `binary` "格式"。
* `Decimal`:
    * 标准的 Python `Decimal`。
    * 在请求和响应中被当做 `float` 一样处理。
* 您可以在这里检查所有有效的 Pydantic 数据类型: [Pydantic data types](https://docs.pydantic.dev/latest/usage/types/types/)。

## 例子 { #example }

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

注意，函数内的参数有原生的数据类型，你可以，例如，执行正常的日期操作，如:

/**
 * Builder class for creating RequestData objects using a fluent interface.
 * This class provides a simple way to construct RequestData objects with method chaining.
 *
 * <p>Usage example:</p>
 * <pre>
 * RequestData request = RequestDataBuilder.newRequestData()
 *     .method("GET")
 *     .url("https://example.com")
 *     .weight(1.0f)
 *     .build();
 * </pre>
 *

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**
 * Annotates a "top-level" type-variable usage that takes its nullness from the type argument
 * supplied by the user of the class. For example, {@code Multiset.Entry.getElement()} returns
 * {@code @ParametricNullness E}, which means:
 *
 * <ul>

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**
 * Annotates a "top-level" type-variable usage that takes its nullness from the type argument
 * supplied by the user of the class. For example, {@code Multiset.Entry.getElement()} returns
 * {@code @ParametricNullness E}, which means:
 *
 * <ul>