*
 * @author shinsuke
 */
public class CrawlingParameterUtilTest extends PlainTestCase {

    @Override
    protected void tearDown() throws Exception {
        // Clean up ThreadLocal variables after each test
        CrawlingParameterUtil.setUrlQueue(null);
        CrawlingParameterUtil.setCrawlerContext(null);
        CrawlingParameterUtil.setUrlQueueService(null);
        CrawlingParameterUtil.setDataService(null);

    }

    TypeToken<V> valueType() {
      return new TypeToken<V>(getClass()) {};
    }
  }

  // The A and B type parameters are used inside the test to test type variable
  public <A, B> void testEquals() {
    new EqualsTester()
        .addEqualityGroup(
            TypeToken.of(String.class),
            TypeToken.of(String.class),

## What is a Container Image { #what-is-a-container-image }

A **container** is run from a **container image**.

A container image is a **static** version of all the files, environment variables, and the default command/program that should be present in a container. **Static** here means that the container **image** is not running, it's not being executed, it's only the packaged files and metadata.

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

und dann aufrufen:

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

haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

```Python
{

      entries[dstIndex] = lastEntry;
      entries[srcIndex] = UNSET;

      // also need to update whoever's "next" pointer was pointing to the last entry place
      // reusing "tableIndex" and "next"; these variables were no longer needed
      int tableIndex = getHash(lastEntry) & hashTableMask();
      int lastNext = table[tableIndex];
      if (lastNext == srcIndex) {
        // we need to update the root pointer

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


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

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

Mas como estamos utilizando `Annotated`, podemos guardar esse valor `Annotated` em uma variável e utilizá-la em múltiplos locais:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

/// tip | Dica

* El *path* puede contener una <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#key-expression" class="external-link" target="_blank">expresión OpenAPI 3</a> (ver más abajo) donde puede usar variables con parámetros y partes del request original enviado a *tu API*.

### La expresión del path del callback { #the-callback-path-expression }

/**
 * A {@code double} array in which elements may be updated atomically. See the {@link
 * java.util.concurrent.atomic} package specification for description of the properties of atomic
 * variables.
 *
 * <p><a id="bitEquals"></a>This class compares primitive {@code double} values in methods such as
 * {@link #compareAndSet} by comparing their bitwise representation using {@link

        if (StringUtil.isBlank(projectId)) {
            throw new CrawlingAccessException(
                    "GCS project ID is blank. Please set the GCS_PROJECT_ID environment variable or projectId parameter.");
        }

        final StorageOptions.Builder builder = StorageOptions.newBuilder().setProjectId(projectId);