Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

        model.setType("TYPE");
        DefaultToolchain toolchain = newDefaultToolchain(model);

        assertFalse(toolchain.matchesRequirements(Collections.singletonMap("name", "John Doe")));
        verify(logger).debug("Toolchain {} is missing required property: {}", toolchain, "name");
    }

    @Test
    void testNonMatchingRequirementProperty() {

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

그 다음, 다음과 같이 호출합니다:

```Python
user_dict = user_in.dict()
```

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

        String jwtClaim =
                "{\"email\":\"******@****.***\",\"sub\":\"1234567890\",\"name\":\"John Doe\",\"groups\":[\"group1\",\"group2\"]}";

        // Execute
        authenticator.parseJwtClaim(jwtClaim, attributes);

        // Verify
        assertEquals("1234567890", attributes.get("sub"));
        assertEquals("John Doe", attributes.get("name"));

        // Check groups array

        value = "\"John Doe\",\"Software Engineer\",\"john******@****.***\",\"Loves \"\"coding\"\" and coffee\"";
        result = KuromojiCSVUtil.parse(value);
        assertEquals(4, result.length);
        assertEquals("John Doe", result[0]);
        assertEquals("Software Engineer", result[1]);
        assertEquals("john******@****.***", result[2]);

	}
	return
}

// Or add OR conditions
//
// Or is used to chain together queries with an OR.
//
//	// Find the first user with name equal to jinzhu or john
//	db.Where("name = ?", "jinzhu").Or("name = ?", "john").First(&user)
func (db *DB) Or(query interface{}, args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	if conds := tx.Statement.BuildCondition(query, args...); len(conds) > 0 {

        Map<String, Object> paramMap = new HashMap<>();
        TestUser user = new TestUser("John", 30);
        paramMap.put("user", user);

        Object result = scriptEngine.evaluate(template, paramMap);
        assertEquals("User: John, Age: 30", result);
    }

    // Test evaluate method with special characters in template

/**
 * A ScheduledExecutorService that executes all scheduled actions immediately in the calling thread.
 *
 * <p>See {@link TestingExecutors#sameThreadScheduledExecutor()} for a full list of constraints.
 *
 * @author John Sirois
 * @author Zach van Schouwen
 */
@GwtIncompatible
// TODO(cpovirk): Make this final (but that may break Mockito spy calls).
class SameThreadScheduledExecutorService extends AbstractExecutorService

/**
 * A ScheduledExecutorService that executes all scheduled actions immediately in the calling thread.
 *
 * <p>See {@link TestingExecutors#sameThreadScheduledExecutor()} for a full list of constraints.
 *
 * @author John Sirois
 * @author Zach van Schouwen
 */
@GwtIncompatible
// TODO(cpovirk): Make this final (but that may break Mockito spy calls).
class SameThreadScheduledExecutorService extends AbstractExecutorService