<modelVersion>4.0.0</modelVersion>

  <groupId>org.apache.maven.plugins</groupId>
  <artifactId>maven-surefire-plugin</artifactId>
  <version>0.1</version>
  <packaging>maven-plugin</packaging>

  <name>Maven Integration Test Plugin</name>
  <description>
    A test plugin to assist testing of Maven core.
  </description>
  <inceptionYear>2009</inceptionYear>

  <distributionManagement>
    <repository>
      <id>maven-core-it</id>

import importlib

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial004_py39"),
        pytest.param("tutorial004_py310", marks=needs_py310),
        pytest.param("tutorial004_an_py39"),
        pytest.param("tutorial004_an_py310", marks=needs_py310),
        pytest.param(
            "tutorial004_regex_an_py310",

The parameter `name` is defined as `Optional[str]`, but it is **not optional**, you cannot call the function without the parameter:

```Python
say_hi()  # Oh, no, this throws an error! 😱
```

The `name` parameter is **still required** (not *optional*) because it doesn't have a default value. Still, `name` accepts `None` as the value:

```Python
say_hi(name=None)  # This works, None is valid 🎉
```

* 直接提供 2 种交互式文档 web 界面。

---

虽然我们才刚刚开始，但其实你已经了解了这一切是如何工作的。

尝试更改下面这行代码：

```Python
    return {"item_name": item.name, "item_id": item_id}
```

......从：

```Python
        ... "item_name": item.name ...
```

......改为：

```Python
        ... "item_price": item.price ...
```

......注意观察编辑器是如何自动补全属性并且还知道它们的类型：

from typing import Union

from fastapi import FastAPI, status
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.post("/items/", response_model=Item, status_code=status.HTTP_201_CREATED)
async def create_item(item: Item):

    protected int timeout = 0;
    /** Number of setup words in this request */
    protected int setupCount = 1;
    private byte subCommand;
    /** The transaction name for named pipe transactions */
    protected String name = "";
    /** Maximum buffer size set in SmbTransport.sendTransaction() before nextElement called */
    protected int maxBufferSize; // set in SmbTransport.sendTransaction() before nextElement called

	// to `.minio.sys/tmp/` for deletion.
	return readDirFn(pathJoin(epPath, minioMetaBucket, bucketMetaPrefix), func(name string, typ os.FileMode) error {
		if typ == os.ModeDir {
			tmpMetacacheOld := pathutil.Join(epPath, minioMetaTmpDeletedBucket, mustGetUUID())
			if err := renameAll(pathJoin(epPath, minioMetaBucket, metacachePrefixForID(name, slashSeparator)),
				tmpMetacacheOld, epPath); err != nil && err != errFileNotFound {

All container images are available as manifest lists and support the described
architectures. It is also possible to pull a specific architecture directly by
adding the "-$ARCH" suffix  to the container image name.

name | architectures
---- | -------------

	<artifactId>fess</artifactId>
	<version>15.4.0-SNAPSHOT</version>
	<packaging>war</packaging>
	<name>Fess</name>
	<description>Fess is Full tExt Search System.</description>
	<url>https://fess.codelibs.org/</url>
	<inceptionYear>2009</inceptionYear>
	<licenses>
		<license>
			<name>The Apache Software License, Version 2.0</name>
			<url>https://www.apache.org/licenses/LICENSE-2.0.txt</url>
			<distribution>repo</distribution>

something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

在这个例子中, `fluffy` 是一个 `Cat` 类的实例。

为了创建 `fluffy`，你调用了 `Cat` 。

所以，Python 类也是 **可调用对象**。

因此，在 **FastAPI** 中，你可以使用一个 Python 类作为一个依赖项。