a := make([][]byte, len(spans))
	for i, span := range spans {
		a[i] = s[span.start:span.end:span.end]
	}

	return a
}

// Join concatenates the elements of s to create a new byte slice. The separator
// sep is placed between elements in the resulting slice.
func Join(s [][]byte, sep []byte) []byte {
	if len(s) == 0 {
		return []byte{}
	}
	if len(s) == 1 {
		// Just return a copy.

            assertTrue("Should find custom thread in dump", customThreadFound.get() > 0);

        } finally {
            latch.countDown();
            customThread.join(1000); // Wait up to 1 second for thread to finish
        }
    }

    public void test_writeThreadDump_fileContent() throws IOException {
        Path tempFile = Files.createTempFile("test-thread-dump-content", ".txt");

        // Start all threads
        for (Thread thread : threads) {
            thread.start();
        }

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

        // Check all providers were created successfully
        for (int i = 0; i < threadCount; i++) {
            assertNull("Thread " + i + " threw exception", exceptions[i]);

        exception = new SmbOperationException(SmbOperationException.ErrorCode.ACCESS_DENIED, "Cannot access share");
        exception.withContext("share", "\\\\server\\share");
        exception.withContext("user", "john");

        // When
        String str = exception.toString();

        // Then
        assertNotNull(str);
        assertTrue(str.contains("SmbOperationException"));

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

Vervolgens kan je het op deze manier gebruiken:

```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

//		ID string // is selected by LookUpFieldByBindName([]string{"ID"}, "ID")
//	}
func (schema *Schema) LookUpFieldByBindName(bindNames []string, name string) *Field {
	for i := len(bindNames) - 1; i >= 0; i-- {
		find := strings.Join(bindNames[:i], ".") + "." + name
		if field, ok := schema.FieldsByBindName[find]; ok {
			return field
		}
	}
	return nil
}

type Tabler interface {
	TableName() string
}

        final Path confPath = getConfPath(names);
        if (Files.exists(confPath)) {
            return confPath;
        }
        return org.codelibs.core.io.ResourceUtil.getResourceAsFile(String.join("/", names)).toPath();
    }

    /**
     * Gets the path to compiled classes directory.
     *
     * @param names the path components to append to the classes directory

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

Rufen Sie den Endpunkt `/users/me/` auf, Sie erhalten die Response:

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

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

///

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

Llama al endpoint `/users/me/`, obtendrás el response como:

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

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

# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```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