"cpu": "mips64",
    },
    visibility = ["//visibility:public"],
)

# TODO(jakeharmon8): Remove in favor of TSL version
config_setting(
    name = "windows",
    # Internal builds query the target OS.
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:windows"],
        [],
    ),
    # OSS builds query the CPU type.
    values = if_oss(
        {"cpu": "x64_windows"},

    public void close() {
        smbAuthenticationHolder = null;
    }

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.fess.crawler.client.CrawlerClient#doGet(java.lang.String)
     */
    @Override
    public ResponseData doGet(final String uri) {
        return processRequest(uri, true);
    }

    protected ResponseData processRequest(final String uri, final boolean includeContent) {

<img src="/img/tutorial/security/image12.png">

## 检查用户名

以下是更完整的示例。

使用依赖项检查用户名与密码是否正确。

为此要使用 Python 标准模块 <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a> 检查用户名与密码。

`secrets.compare_digest()` 需要仅包含 ASCII 字符（英语字符）的 `bytes` 或 `str`，这意味着它不适用于像`á`一样的字符，如 `Sebastián`。

为了解决这个问题，我们首先将 `username` 和 `password` 转换为使用 UTF-8 编码的 `bytes` 。

        this.charset = charset;
    }

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.fess.crawler.client.CrawlerClient#doGet(java.lang.String)
     */
    @Override
    public ResponseData doGet(final String uri) {
        return processRequest(uri, true);
    }

    /*
     * (non-Javadoc)
     *

## Global view

First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank}. Now using OAuth2 scopes:

{* ../../docs_src/security/tutorial005_an_py310.py hl[5,9,13,47,65,106,108:116,122:125,129:135,140,156] *}

Now let's review those changes step by step.

## OAuth2 Security scheme

  tensorflow::mutex lock;
};

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
struct TF_Server {
  TF_Server(std::unique_ptr<tensorflow::ServerInterface> server);

  const tensorflow::string target;
  std::unique_ptr<tensorflow::ServerInterface> server;
};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//

  //
  // ValueGraph properties
  //

  /**
   * Returns true if the edges in this graph are directed. Directed edges connect a {@link
   * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */
  @Override
  boolean isDirected();

  /**

  /**
   * Schedules [task] for execution in [delayNanos]. A task may only have one future execution
   * scheduled. If the task is already in the queue, the earliest execution time is used.
   *
   * The target execution time is implemented on a best-effort basis. If another task in this queue
   * is running when that time is reached, that task is allowed to complete before this task is

tidy-docker:
	@docker image prune --all --force --filter="label=io.istio.repo=https://github.com/istio/tools" --filter="label!=io.istio.version=$(IMAGE_VERSION)"

# help works by looking over all Makefile includes matching `target: ## comment` regex and outputting them
help: ## Show this help
	@egrep -h '^[a-zA-Z_\.-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort  | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-20s\033[0m %s\n", $$1, $$2}'

Verwenden Sie eine Abhängigkeit, um zu überprüfen, ob Benutzername und Passwort korrekt sind.

Verwenden Sie dazu das Python-Standardmodul <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a>, um den Benutzernamen und das Passwort zu überprüfen.