var (
	// LDAP integrated Minio endpoint
	stsEndpoint string

	// token to use with AssumeRoleWithCustomToken
	token string

	// Role ARN to use
	roleArn string

	// Display credentials flag
	displayCreds bool

	// Credential expiry duration
	expiryDuration time.Duration

	// Bucket to list
	bucketToList string
)

func init() {
	flag.StringVar(&stsEndpoint, "sts-ep", "http://localhost:9000", "STS endpoint")

	// When FileNameFunc is not specified, DefaultFilenameFunc will be used.
	FileNameFunc func() string

	// Compress specify if you want the logs to be compressed after rotation.
	Compress bool
}

// Writer is a concurrency-safe writer with file rotation.
type Writer struct {
	// opts are the configuration options for this Writer
	opts Options

	// f is the currently open file used for appends.

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        auto_error: Annotated[
            bool,
            Doc(
                """
                By default, if no HTTP Authorization header is provided, required for
                OAuth2 authentication, it will automatically cancel the request and

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

			sfx += "_"
		}
		sfx += v
	}

	return string(name) + "_" + sfx
}

func updateResourceMetrics(subSys MetricSubsystem, name MetricName, val float64, labels map[string]string, isCumulative bool) {
	resourceMetricsMapMu.Lock()
	defer resourceMetricsMapMu.Unlock()
	subsysMetrics, found := resourceMetricsMap[subSys]
	if !found {
		subsysMetrics = ResourceMetrics{}
	}

	if rv != "" {
		ropts.VersionID = string(rv)
	}
	err := s3.client.RemoveObject(ctx, s3.Bucket, s3.getDest(object), ropts)
	return s3.ToObjectError(err, object)
}

func (s3 *warmBackendS3) InUse(ctx context.Context) (bool, error) {
	result, err := s3.core.ListObjectsV2(s3.Bucket, s3.Prefix, "", "", slashSeparator, 1)
	if err != nil {
		return false, s3.ToObjectError(err)
	}

# 额外数据类型

到目前为止，您一直在使用常见的数据类型，如:

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

但是您也可以使用更复杂的数据类型。

您仍然会拥有现在已经看到的相同的特性:

* 很棒的编辑器支持。
* 传入请求的数据转换。
* 响应数据转换。
* 数据验证。
* 自动补全和文档。

## 其他数据类型

下面是一些你可以使用的其他数据类型:

* `UUID`:
    * 一种标准的 "通用唯一标识符" ，在许多数据库和系统中用作ID。
    * 在请求和响应中将以 `str` 表示。
* `datetime.datetime`:
    * 一个 Python `datetime.datetime`.

package event

import (
	"encoding/xml"
	"fmt"
)

// IsEventError - checks whether given error is event error or not.
func IsEventError(err error) bool {
	switch err.(type) {
	case ErrInvalidFilterName, *ErrInvalidFilterName:
		return true
	case ErrFilterNamePrefix, *ErrFilterNamePrefix:
		return true
	case ErrFilterNameSuffix, *ErrFilterNameSuffix:
		return true

		uint32PtrValue   = &uint32Value
		uint64PtrValue   = &uint64Value
		maxInt64Plus1Ptr = &maxInt64Plus1
	)
	tests := []struct {
		name    string
		value   interface{}
		want    interface{}
		wantErr bool
	}{
		{
			name:    "int",
			value:   intValue,
			want:    time.Unix(int64(intValue), 0).UTC(),
			wantErr: false,
		},
		{
			name:    "int8",
			value:   int8Value,