#   "rbe", if you have set up your system to use RBE (see further below).
#
# Here is how to choose your TFCI value:
# 1. A Python version must come first, because other scripts reference it.
#      Ex. py39  -- Python 3.9
#      Ex. py310 -- Python 3.10
#      Ex. py311 -- Python 3.11
#      Ex. py312 -- Python 3.12
# 2. Choose the platform, which corresponds to the version of TensorFlow to

        (byte)22, (byte)18, (byte)11, (byte)3 , (byte)25, (byte) 7,
        (byte)15, (byte) 6, (byte)26, (byte)19, (byte)12, (byte) 1,
        (byte)40, (byte)51, (byte)30, (byte)36, (byte)46, (byte)54,
        (byte)29, (byte)39, (byte)50, (byte)44, (byte)32, (byte)47,
        (byte)43, (byte)48, (byte)38, (byte)55, (byte)33, (byte)52,
        (byte)45, (byte)41, (byte)49, (byte)35, (byte)28, (byte)31,
    };

    private static int[] SP1 = {

from fastapi.security.utils import get_authorization_scheme_param
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED, HTTP_403_FORBIDDEN

# TODO: import from typing when deprecating Python 3.9
from typing_extensions import Annotated, Doc


class OAuth2PasswordRequestForm:
    """
    This is a dependency class to collect the `username` and `password` as form data
    for an OAuth2 password flow.

               "type": "timeseries"
            }
         ],
         "title": "Controller Runtime",
         "type": "row"
      }
   ],
   "schemaVersion": 39,
   "templating": {
      "list": [
         {
            "name": "datasource",
            "query": "prometheus",
            "regex": "(ops|dev)-cortex",
            "type": "datasource"
         },

               "legendFormat": "Failure"
            }
         ],
         "title": "Injection",
         "type": "timeseries"
      }
   ],
   "refresh": "15s",
   "schemaVersion": 39,
   "templating": {
      "list": [
         {
            "name": "datasource",
            "query": "prometheus",
            "type": "datasource"
         }
      ]
   },
   "time": {

			Objects: []ObjectInfo{
				{Name: "foo/201910/1112"},
				{Name: "foo/201910/1122"},
				{Name: "foo/201910/2112"},
				{Name: "foo/201910_txt"},
			},
		},
		// ListObjectsResult-39 list with prefix match 1 level deep
		39: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "201910/foo/bar/xl.meta/1.txt"},
			},
		},
		// ListObjectsResult-40
		40: {
			IsTruncated: false,

                TestCoverage(38, TestType.configCache, Os.WINDOWS, JvmCategory.MAX_VERSION),
                TestCoverage(39, TestType.configCache, Os.LINUX, JvmCategory.MAX_VERSION, DEFAULT_LINUX_FUNCTIONAL_TEST_BUCKET_SIZE, arch = Arch.AARCH64),

* `@app.put()`
* `@app.delete()`
* 等等。

//// tab | Python 3.10+

```Python hl_lines="17  22  24-27"
{!> ../../docs_src/response_model/tutorial001_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="17  22  24-27"
{!> ../../docs_src/response_model/tutorial001_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="17  22  24-27"

使用 Linux 容器有几个优点，包括**安全性**、**可复制性**、**简单性**等。

/// tip

赶时间并且已经知道这些东西了？ 跳转到下面的 [`Dockerfile` 👇](#fastapi-docker_1)。

///

<details>
<summary>Dockerfile Preview 👀</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

Sie haben es eilig und kennen sich bereits aus? Springen Sie zum [`Dockerfile` unten 👇](#ein-docker-image-fur-fastapi-erstellen).

///

<Details>
<summary>Dockerfile-Vorschau 👀</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app