allowedPaths.add(baseCanonicalPath);
                    if (canonicalPath.startsWith(baseCanonicalPath)) {
                        isAllowed = true;
                        break;
                    }
                }
            }
            if (!allowedPaths.isEmpty() && !isAllowed) {
                throw new IllegalArgumentException(

        assertNotNull(constantTimeMethod, "constantTimeEquals method should exist");
        constantTimeMethod.setAccessible(true);

        // Test the method directly
        char[] password1 = "testpassword".toCharArray();
        char[] password2 = "testpassword".toCharArray();
        char[] password3 = "testpassworX".toCharArray();

  if command -v brew &> /dev/null && brew list pyenv &> /dev/null; then
    # On "ventura-slcn" VMs, pyenv is managed via Homebrew.
    echo "pyenv is installed and managed by homebrew."
    (brew update && brew upgrade pyenv) || true
  else
    echo "pyenv is not managed by homebrew. Installing it via github..."
    # On "ventura" VMs, pyenv is not managed by Homebrew. Install the latest
    # pyenv from github.
    rm -rf "$PYENV_ROOT"

    * Add `-prof gc` to the options to check whether the garbage collector runs during a microbenchmarks and skews
   your results. If so, try to force a GC between runs (`-gc true`) but watch out for the caveats.
    * Add `-prof perf` or `-prof perfasm` (both only available on Linux, see Disassembling below) to see hotspots.
    * Add `-prof async` to see hotspots.
* Have your benchmarks peer-reviewed.

    private final List<String> languages = new ArrayList<>();

    private String seed = String.valueOf(System.currentTimeMillis());

    private int windowSize = 20;

    private boolean detail = true;

    private int queryFreqThreshold = 10;

    private final List<String> excludeWords = new ArrayList<>();

    /**
     * Sets the index name.
     * @param index The index name.
     */

        this.username = username;
        this.password = null;
        this.challenge = challenge;
        this.ansiHash = ansiHash;
        this.unicodeHash = unicodeHash;
        hashesExternal = true;
    }

    /**
     * Returns the domain.
     *
     * @return the authentication domain
     */
    public String getDomain() {
        return domain;
    }

    /**

但本指南会大致展示它们的预期用法。

///

### 使用 Pydantic 的 `exclude_unset` 参数 { #using-pydantics-exclude-unset-parameter }

如果要接收部分更新，建议在 Pydantic 模型的 `.model_dump()` 中使用 `exclude_unset` 参数。

比如，`item.model_dump(exclude_unset=True)`。

这会生成一个 `dict`，只包含创建 `item` 模型时显式设置的数据，不包含默认值。

然后再用它生成一个只含已设置（在请求中发送）数据、且省略默认值的 `dict`：

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

    }

    private static boolean followLinks(OpenOption[] options) {
      for (OpenOption option : options) {
        if (option == NOFOLLOW_LINKS) {
          return false;
        }
      }
      return true;
    }

    @Override
    public InputStream openStream() throws IOException {
      return Files.newInputStream(path, options);
    }

    private BasicFileAttributes readAttributes() throws IOException {

但本指南會大致示範它們各自的設計用法。

///

### 使用 Pydantic 的 `exclude_unset` 參數 { #using-pydantics-exclude-unset-parameter }

如果要接收部分更新，在 Pydantic 模型的 `.model_dump()` 中使用 `exclude_unset` 參數非常實用。

例如 `item.model_dump(exclude_unset=True)`。

這會產生一個只包含建立 `item` 模型時實際設定過之欄位的 `dict`，不含預設值。

接著你可以用它來生成只包含實際設定（請求中傳來）的資料之 `dict`，省略預設值：

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

        item_id: str,
    ):
        if session is None:
            raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
        await websocket.accept()
        while True:
            data = await websocket.receive_text()
            await websocket.send_text(f"Session cookie is: {session}")
            await websocket.send_text(f"Message text was: {data}, for item ID: {item_id}")
    ```