### SIG Azure

* The Azure cloud provider now supports standard SKU load balancer and public IP.
`excludeMasterFromStandardLB` defaults to true, which means master nodes are excluded from the standard load balancer. Also note that because all nodes (except master) are added as loadbalancer backends, the standard load balancer doesn't work with the `service.beta.kubernetes.io/azure-load-balancer-mode` annotation.

```

* And it upgrades `fastapi-cli[standard] >=0.0.5`.

#### Technical Details

Before this, `fastapi` would include the standard dependencies, with Uvicorn and the `fastapi-cli`, etc.

And `fastapi-slim` would not include those standard dependencies.

Now `fastapi` doesn't include those standard dependencies unless you install with `pip install "fastapi[standard]"`.

	FENCE		$1, R				// ERROR "invalid FENCE predecessor operand"
	FENCE		R, $2				// ERROR "invalid FENCE successor operand"
	FENCE.TSO	R, R				// ERROR "FENCE.TSO must not have operands"

	//
	// "V" Standard Extension for Vector Operations, Version 1.0
	//
	VSETIVLI	X10, E32, M2, TA, MA, X12	// ERROR "expected immediate value"
	VLE8V		(X10), V1, V3			// ERROR "invalid vector mask register"

		if equals(k, xhttp.AmzMetaUnencryptedContentLength, xhttp.AmzMetaUnencryptedContentMD5) {
			continue
		}
		if equals(k, "x-amz-storage-class") && v == storageclass.STANDARD {
			continue
		}

		fi.Metadata[k] = v
	}

	tierFVIDKey := ReservedMetadataPrefixLower + tierFVID
	tierFVMarkerKey := ReservedMetadataPrefixLower + tierFVMarker
	for k, v := range j.MetaSys {

Versiyon aralıklarını belirlemek için elbette [FastAPI sürümleri hakkında](versions.md) bölümünde okuduğunuz fikirleri kullanırsınız.

Örneğin `requirements.txt` şöyle görünebilir:

```
fastapi[standard]>=0.113.0,<0.114.0
pydantic>=2.7.0,<3.0.0
```

Ve bu bağımlılıkları normalde `pip` ile yüklersiniz, örneğin:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%

	if userDefined["content-type"] == "" {
		userDefined["content-type"] = mimedb.TypeByExtension(path.Ext(object))
	}

	// if storageClass is standard no need to save it as part of metadata.
	if userDefined[xhttp.AmzStorageClass] == storageclass.STANDARD {
		delete(userDefined, xhttp.AmzStorageClass)
	}

	// Fill all the necessary metadata.
	// Update `xl.meta` content on each disks.

Por supuesto, usarías las mismas ideas que leíste en [Acerca de las versiones de FastAPI](versions.md) para establecer los rangos de versiones.

Por ejemplo, tu `requirements.txt` podría verse así:

```
fastapi[standard]>=0.113.0,<0.114.0
pydantic>=2.7.0,<3.0.0
```

Y normalmente instalarías esas dependencias de los paquetes con `pip`, por ejemplo:

<div class="termy">

```console
$ pip install -r requirements.txt

Ihre `requirements.txt` könnte beispielsweise so aussehen:

```
fastapi[standard]>=0.113.0,<0.114.0
pydantic>=2.7.0,<3.0.0
```

Und normalerweise würden Sie diese Paketabhängigkeiten mit `pip` installieren, zum Beispiel:

<div class="termy">

```console

				</exclusion>
			</exclusions>
		</dependency>
		<dependency>
			<groupId>org.glassfish.web</groupId>
			<artifactId>jakarta.servlet.jsp.jstl</artifactId>
			<!-- contains taglibs.standard -->
			<version>${jakarta.jstl.version}</version>
		</dependency>
		<dependency>
			<groupId>jakarta.transaction</groupId>
			<artifactId>jakarta.transaction-api</artifactId>

通常你会把应用的**包依赖**放在某个文件里。

这主要取决于你用来**安装**这些依赖的工具。

最常见的方式是使用 `requirements.txt` 文件，每行一个包名及其版本范围。

当然，你也可以参考你在[关于 FastAPI 版本](versions.md)中读到的思路来设置版本范围。

例如，你的 `requirements.txt` 可能是：

```
fastapi[standard]>=0.113.0,<0.114.0
pydantic>=2.7.0,<3.0.0
```

通常你会用 `pip` 安装这些依赖，例如：

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic