## Overview

MinIO implements an S3 extension to list, stat and download files inside a ZIP file stored in any bucket. A perfect use case scenario is when you have a lot of small files archived in multiple ZIP files. Uploading them is faster than uploading small files individually. Besides, your S3 applications will be able to access to the data with little performance overhead.

---

"_FastAPIライブラリを採用し、クエリで**予測値**を取得できる**REST**サーバを構築しました。 [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>

---

    ```

#### `**user_dict`에 대해

`UserInDB(**user_dict)`는 다음을 의미한다:

*`user_dict`의 키와 값을 다음과 같은 키-값 인수로 직접 전달합니다:*

```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"],
)
```

!!! 정보

ASM: a very small and fast Java bytecode manipulation framework
Copyright (c) 2000-2011 INRIA, France Telecom
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
  notice, this list of conditions and the following disclaimer.

`UserInDB(**user_dict)` bedeutet:

*Übergib die Schlüssel und Werte des `user_dict` direkt als Schlüssel-Wert-Argumente, äquivalent zu:*

```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"],
)
```

!!! info

`UserInDB(**user_dict)` means:

*Pass the keys and values of the `user_dict` directly as key-value arguments, equivalent to:*

```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"],
)
```

!!! info

```Python hl_lines="14"
{!../../../docs_src/background_tasks/tutorial001.py!}
```

`.add_task()` 接收以下参数：

* 在后台运行的任务函数(`write_notification`)。
* 应按顺序传递给任务函数的任意参数序列(`email`)。
* 应传递给任务函数的任意关键字参数(`message="some notification"`)。

## 依赖注入

使用 `BackgroundTasks` 也适用于依赖注入系统，你可以在多个级别声明 `BackgroundTasks` 类型的参数：在 *路径操作函数* 里，在依赖中(可依赖)，在子依赖中，等等。

        "//tensorflow/core/platform:status",
        "@local_tsl//tsl/platform:errors",
    ],
)

# Compliance test for modules and for interface
tf_cc_test(
    name = "modular_filesystem_test",
    size = "small",
    srcs = ["modular_filesystem_test.cc"],
    linkopts = ["-ldl"],
    tags = [
        "manual",  # Requires DSOs as arguments, eventual setup

  require(millis != 0L || duration <= 0L) { "$name too small" }
  return millis.toInt()
}

internal fun checkDuration(
  name: String,
  duration: Duration,
): Int {
  check(!duration.isNegative()) { "$name < 0" }
  val millis = duration.inWholeMilliseconds
  require(millis <= Integer.MAX_VALUE) { "$name too large" }
  require(millis != 0L || !duration.isPositive()) { "$name too small" }
  return millis.toInt()
}

    ```

!!! info "Информация"
    Чтобы использовать `EmailStr`, прежде необходимо установить <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email_validator`</a>.
    Используйте `pip install email-validator`
    или `pip install pydantic[email]`.

Далее мы используем нашу модель в аннотациях типа как для аргумента функции, так и для выходного значения:

=== "Python 3.10+"