hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

Klaus Post <******@****.***> 1663610716 +0200

}

type itimerval struct {
	it_interval timeval
	it_value    timeval
}

type keventt struct {
	ident  uint64
	filter int16
	flags  uint16
	fflags uint32
	data   int64
	udata  *byte
}

type pthread uintptr
type pthreadattr uintptr
type pthreadcond uintptr
type pthreadcondattr uintptr
type pthreadmutex uintptr

		cfg.TLSClientConfig.CertData = config.TLSConfig.CertData
		cfg.TLSClientConfig.KeyData = config.TLSConfig.KeyData
		cfg.TLSClientConfig.CAData = config.TLSConfig.CAData
	}
	if config.EnableHTTPS {
		hasCA := len(cfg.CAFile) > 0 || len(cfg.CAData) > 0
		if !hasCA {
			cfg.Insecure = true
		}
	}
	tlsConfig, err := restclient.TLSConfigFor(&cfg)
	if err != nil {
		return nil, err
	}

}

type itimerval struct {
	it_interval timeval
	it_value    timeval
}

type keventt struct {
	ident  uint64
	filter int16
	flags  uint16
	fflags uint32
	data   int64
	udata  *byte
}

type pthread uintptr
type pthreadattr uintptr
type pthreadcond uintptr
type pthreadcondattr uintptr
type pthreadmutex uintptr

Krishnan Parthasarathi <******@****.***> 1705132268 -0800

Krishnan Parthasarathi <******@****.***> 1705132268 -0800

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

Alejandra <******@****.***> 1711071731 -0500

* `Decimal`:
    * 标准的 Python `Decimal`。
    * 在请求和响应中被当做 `float` 一样处理。
* 您可以在这里检查所有有效的pydantic数据类型: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>.

## 例子

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```