Az önce tip belirteçlerinin en çok kullanıldığı yeri gördünüz.

 **FastAPI**ile çalışırken tip belirteçlerini en çok kullanacağımız yer yine fonksiyonlardır.

### Basit tipler

Yalnızca `str` değil, tüm standart Python tiplerinin bildirebilirsiniz.

Örneğin şunları kullanabilirsiniz:

* `int`
* `float`
* `bool`
* `bytes`

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial005.py!}
```

</blockquote>

## Araştırma

Önceki alternatifleri kullanarak hepsinden bir şeyler öğrenip, fikirler alıp, bunları kendim ve çalıştığım geliştirici ekipler için en iyi şekilde birleştirebilme şansım oldu.

Mesela, ideal olarak standart Python tip belirteçlerine dayanması gerektiği açıktı.

Ayrıca, en iyi yaklaşım zaten mevcut olan standartları kullanmaktı.

### Allowed values for STANDARD storage class

`STANDARD` storage class implies more parity than `REDUCED_REDUNDANCY` class. So, `STANDARD` parity drives should be

- Greater than or equal to 2, if `REDUCED_REDUNDANCY` parity is not set.
- Greater than `REDUCED_REDUNDANCY` parity, if it is set.

		sc             string
		drivesCount    int
		expectedData   int
		expectedParity int
	}{
		{RRS, 16, 14, 2},
		{STANDARD, 16, 8, 8},
		{"", 16, 8, 8},
		{RRS, 16, 9, 7},
		{STANDARD, 16, 10, 6},
		{"", 16, 9, 7},
	}
	for i, tt := range tests {
		scfg := Config{
			Standard: StorageClass{
				Parity: 8,
			},
			RRS: StorageClass{
				Parity: 2,
			},
			initialized: true,
		}

var (
	configRRSParityMD = NewGaugeMD(configRRSParity,
		"Reduced redundancy storage class parity")
	configStandardParityMD = NewGaugeMD(configStandardParity,
		"Standard storage class parity")
)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config
// such as standard and RRS parity.
func loadClusterConfigMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()

In diesem Fall können Sie einfach die Standard-`dataclasses` durch `pydantic.dataclasses` ersetzen, was einen direkten Ersatz darstellt:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Wir importieren `field` weiterhin von Standard-`dataclasses`.

2. `pydantic.dataclasses` ist ein direkter Ersatz für `dataclasses`.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. We still import `field` from standard `dataclasses`.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

[project.optional-dependencies]

standard = [
    "fastapi-cli[standard] >=0.0.5",
    # For the test client
    "httpx >=0.23.0",
    # For templates
    "jinja2 >=2.11.2",
    # For forms and file uploads
    "python-multipart >=0.0.7",
    # To validate email fields
    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",

		return config.DefaultHelpPostfix(DefaultKVS, key)
	}

	Help = config.HelpKVS{
		config.HelpKV{
			Key:         ClassStandard,
			Description: `set the parity count for default standard storage class` + defaultHelpPostfix(ClassStandard),
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         ClassRRS,

package cmd

import "net/http"

// Standard cross domain policy information located at https://s3.amazonaws.com/crossdomain.xml
const crossDomainXML = `<?xml version="1.0"?><!DOCTYPE cross-domain-policy SYSTEM "http://www.adobe.com/xml/dtds/cross-domain-policy.dtd"><cross-domain-policy><allow-access-from domain="*" secure="false" /></cross-domain-policy>`

// Standard path where an app would find cross domain policy information.