{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### 关于 `**user_dict` { #about-user-dict }

`UserInDB(**user_dict)` 是指：

*直接把 `user_dict` 的键与值当作关键字参数传递，等效于：*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### 關於 `**user_dict**` { #about-user-dict }

`UserInDB(**user_dict)` 的意思是：

把 `user_dict` 的鍵和值直接當作具名參數傳入，等同於：

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],

    /** Execution type for thumbnail operations. */
    public static final String EXECUTE_TYPE_THUMBNAIL = "thumbnail";

    /** Execution type for Python script operations. */
    public static final String EXECUTE_TYPE_PYTHON = "python";

    /** Execution type for suggest operations. */
    public static final String EXECUTE_TYPE_SUGGEST = "suggest";

    /** Default script type (Groovy). */

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### `**user_dict` について { #about-user-dict }

`UserInDB(**user_dict)` は次を意味します:

`user_dict` のキーと値を、そのままキーワード引数として渡します。つまり次と同等です:

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],

                                                    TF_Status* status);
// Get an attribute type given an op name; a fusion of TFE_NewOp and
// TFE_OpGetAttrType for use from Python without the overhead of the individual
// calls and memory management of TFE_Op.
TF_CAPI_EXPORT extern TF_AttrType TFE_OpNameGetAttrType(
    TFE_Context* ctx, const char* op_or_function_name, const char* attr_name,

如果你宣告的 `response_class` 具有 JSON 的 media type（`application/json`），像 `JSONResponse`，你回傳的資料會自動以你在「路徑操作裝飾器」中宣告的任何 Pydantic `response_model` 進行轉換（與過濾）。但資料不會由 Pydantic 直接序列化成 JSON 位元組；取而代之，會先經由 `jsonable_encoder` 轉換，然後交給 `JSONResponse` 類別，該類別會使用 Python 標準的 JSON 函式庫將其序列化為位元組。

### JSON 效能 { #json-performance }

簡而言之，若你想要最佳效能，請使用[回應模型](../tutorial/response-model.md)，並且不要在「路徑操作裝飾器」中宣告 `response_class`。

        line_a_comment: str | None = None
        line_b_comment: str | None = None

        # Handle comments based on language
        if block_language in {
            "python",
            "py",
            "sh",
            "bash",
            "dockerfile",
            "requirements",
            "gitignore",
            "toml",
            "yaml",
            "yml",

        "tfe_tensor_debug_info_internal.h",
        "tfe_tensorhandle_internal.h",
    ],
    visibility = [
        "//tensorflow/core/function/runtime_client:__pkg__",
        "//tensorflow/python:__subpackages__",
    ],
)

cc_library(
    name = "c_api_internal",
    hdrs = [
        "c_api_experimental.h",
        "c_api_internal.h",
    ],
    visibility = ["//tensorflow:internal"],

```

그리고 나서 다른 디렉터리들을 탐색합니다.

따라서 터미널에 `python`을 입력하면, 시스템은 다음 위치에서 Python 프로그램을 찾고:

```plaintext
C:\Users\user\code\awesome-project\.venv\Scripts\python
```

그것을 사용하게 됩니다.

////

중요한 세부 사항은 가상 환경 경로가 `PATH` 변수의 **맨 앞**에 들어간다는 점입니다. 시스템은 다른 어떤 Python보다도 **먼저** 이를 찾게 됩니다. 이렇게 하면 `python`을 실행할 때, 다른 어떤 `python`(예: 전역 환경의 `python`)이 아니라 **가상 환경의 Python**을 사용하게 됩니다.

        logging.info(f"Writing to {version_file}")
        version_file.write_text(content_format, encoding="utf-8")


@app.command()
def generate_docs_src_versions() -> None:
    """
    Generate Python version-specific files for all .py files in docs_src.
    """
    docs_src_path = Path("docs_src")
    for py_file in sorted(docs_src_path.rglob("*.py")):
        generate_docs_src_versions_for_file(py_file)