|| e.keyCode == 32
                || e.keyCode == 46
            ) {
                started = true;
                isFocusList = false;
            } else if(e.keyCode == 38) {
                if($boxElement.css("display") != "none") {
                    e.preventDefault();
                }
                suggestor.selectlist("up");
            } else if(e.keyCode == 40) {

    for (int i = 0; i < 8; i++) {
      limiter.acquire(); // #7
    }
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1
        "U0.50", // #2
        "U4.00", // #3
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #4
        "U0.50", // #5
        "U2.00", // #6

    for (int i = 0; i < 8; i++) {
      limiter.acquire(); // #7
    }
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1
        "U0.50", // #2
        "U4.00", // #3
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #4
        "U0.50", // #5
        "U2.00", // #6

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

build-backend = "pdm.backend"

[project]
name = "fastapi"
dynamic = ["version"]
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
readme = "README.md"
requires-python = ">=3.8"
authors = [
    { name = "Sebastián Ramírez", email = "******@****.***" },
]
classifiers = [
    "Intended Audience :: Information Technology",
    "Intended Audience :: System Administrators",

Beginnen wir mit einer einfachen FastAPI-Anwendung:

//// tab | Python 3.9+

```Python hl_lines="7-9  12-13  16-17  21"
{!> ../../docs_src/generate_clients/tutorial001_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="9-11  14-15  18  19  23"
{!> ../../docs_src/generate_clients/tutorial001.py!}
```

////

对此你可以使用`jsonable_encoder`。

它接收一个对象，比如Pydantic模型，并会返回一个JSON兼容的版本：

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

在这个例子中，它将Pydantic模型转换为`dict`，并将`datetime`转换为`str`。

        e.keyCode === 8 ||
        e.keyCode === 32 ||
        e.keyCode === 46
      ) {
        started = true;
        isFocusList = false;
      } else if (e.keyCode === 38) {
        if ($boxElement.css("display") !== "none") {
          e.preventDefault();
        }
        suggestor.selectlist("up");
      } else if (e.keyCode === 40) {

 */

properties([buildDiscarder(logRotator(artifactNumToKeepStr: '5', numToKeepStr: env.BRANCH_NAME=='master'?'5':'1'))])

def buildOs = 'linux'
def buildJdk = '17'
def buildMvn = '3.8.x'
def runITsOses = ['linux']
def runITsJdks = ['17']
def runITsMvn = '3.8.x'
def runITscommand = "mvn clean install -Prun-its,embedded -B -U -V" // -DmavenDistro=... -Dmaven.test.failure.ignore=true
def tests

try {

```

////

//// tab | Python 3.9+

```Python hl_lines="3  6-8  11-12  23-24  27-28"
{!> ../../docs_src/sql_databases/sql_app_py39/schemas.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="3  6-8  11-12  23-24  27-28"
{!> ../../docs_src/sql_databases/sql_app/schemas.py!}
```

////

#### SQLAlchemy 风格和 Pydantic 风格