}
            });
            threads[i].start();
        }

        // Wait for all threads to complete
        for (Thread thread : threads) {
            thread.join();
        }

        // Then
        for (int i = 0; i < threadCount; i++) {
            assertTrue(results[i], "Thread " + i + " should have completed successfully");
        }
    }

    @Test

    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

                }
            }

            @Override
            public void onFailure(final Exception e) {
                logger.error(() -> "Failed to refresh " + stream(indices).get(stream -> stream.collect(Collectors.joining(", "))), e);
            }
        });

    }

    /**

		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)
	}

    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

Agora use a operação `GET` com o caminho `/users/me`.

Você obterá os dados do seu usuário, como:

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

<img src="/img/tutorial/security/image06.png">