// In test environments, system monitoring may fail due to missing dependencies
            // or restricted access to system resources. This is acceptable.
            // We primarily want to ensure the method can be called without compilation errors

            // Log the exception for debugging purposes but don't fail the test

        } catch (SearchQueryException e) {
            assertEquals(expectedMessage, e.getMessage());
            assertNull(e.getCause());
        } catch (Exception e) {
            fail("Should have caught SearchQueryException");
        }
    }

    public void test_throwWithCauseAndCatch() {
        // Test throwing with cause and catching
        String expectedMessage = "Test with cause";

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image04.png">
</div>

Com esse recurso do **Pydantic v2**, sua documentação da API fica mais **precisa**, e se você tiver clientes e SDKs gerados automaticamente, eles serão mais precisos também, proporcionando uma melhor **experiência para desenvolvedores** e consistência. 🎉

## Não Separe Schemas

import okhttp3.testing.PlatformRule.Companion.LOOM_PROPERTY
import okhttp3.testing.PlatformRule.Companion.getPlatformSystemProperty
import org.junit.jupiter.api.Assertions.assertEquals
import org.junit.jupiter.api.Assertions.fail
import org.junit.jupiter.api.extension.AfterEachCallback
import org.junit.jupiter.api.extension.BeforeEachCallback
import org.junit.jupiter.api.extension.ExtensionContext

/**

     */
    @Nonnull
    Optional<Boolean> failAtEnd();

    /**
     * Indicates whether Maven should never fail the build, regardless of project result.
     *
     * @return an {@link Optional} containing true if the build should never fail, false if it should fail normally, or empty if not specified
     */
    @Nonnull
    Optional<Boolean> failNever();

    /**

            assertEquals(5, responseData.getContentLength());
        }

        try {
            smbClient.doGet(baseUrl);
            fail();
        } catch (final ChildUrlsException e) {
            String[] urls = e.getChildUrlList().stream().map(r -> r.getUrl()).sorted().toArray(String[]::new);
            assertEquals(3, urls.length);

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Oder, präziser, `user_dict` wird direkt verwendet, welche Werte es auch immer haben mag:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

```Python

Wystarczy, że napiszesz standardowe deklaracje typów Pythona:

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

```Python

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

That can then be used like:

```Python