return user_id


# Pydantic modeli
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sonrasında bu şekilde kullanabilirsin

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

# Model Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

A one będą mogły zostać później użyte w następujący sposób:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

		proto = getURLScheme(globalIsTLS)
	}
	u := &url.URL{
		Host:   r.Host,
		Path:   path.Join(SlashSeparator, bucket, object),
		Scheme: proto,
	}
	// If domain is set then we need to use bucket DNS style.
	for _, domain := range domains {
		if strings.HasPrefix(r.Host, bucket+"."+domain) {
			u.Path = path.Join(SlashSeparator, object)
			break
		}
	}
	return u.String()
}

				}
			}

			// Remove the original pools args present at index 0
			anonPools[pi] = strings.Join(poolsMatch[1:], "")
		}
		return cmdLineWithoutPools + strings.Join(anonPools, " ")
	}

	anonymizeProcInfo := func(p *madmin.ProcInfo) {
		p.CmdLine = anonymizeCmdLine(p.CmdLine)
		anonymizeAddr(p)
	}

// Bean metadata introspection
BeanDesc beanDesc = BeanDescFactory.getBeanDesc(MyBean.class);
PropertyDesc nameProperty = beanDesc.getPropertyDesc("name");
nameProperty.setValue(bean, "John Doe");

// Bean copying with flexible options
BeanUtil.copyBeanToBean(source, destination);
BeanUtil.copyBeanToBean(source, destination, options -> 
    options.exclude("password", "internalId"));

///

<img src="/img/tutorial/security/image08.png">

Вызвав эндпоинт `/users/me/`, вы получите ответ в виде:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

)

const (
	tierConfigFile    = "tier-config.bin"
	tierConfigFormat  = 1
	tierConfigV1      = 1
	tierConfigVersion = 2
)

// tierConfigPath refers to remote tier config object name
var tierConfigPath = path.Join(minioConfigPrefix, tierConfigFile)

const tierCfgRefreshAtHdr = "X-MinIO-TierCfg-RefreshedAt"

// TierConfigMgr holds the collection of remote tiers configured in this deployment.
type TierConfigMgr struct {

    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info