return tx.Exec("DROP TABLE IF EXISTS ?", m.CurrentTable(stmt)).Error
		}); err != nil {
			return err
		}
	}
	return nil
}

// HasTable returns table exists or not for value, value could be a struct or string
func (m Migrator) HasTable(value interface{}) bool {
	var count int64

	m.RunWithValue(value, func(stmt *gorm.Statement) error {
		currentDatabase := m.DB.Migrator().CurrentDatabase()

	VREV64	V2.S2, V3.S2                    // 4308a00e
	VREV64	V2.S4, V3.S4                    // 4308a04e

// logical ops
//
// make sure constants get encoded into an instruction when it could
	AND	R1@>33, R2
	AND	$(1<<63), R1                        // AND	$-9223372036854775808, R1       // 21004192
	AND	$(1<<63-1), R1                      // AND	$9223372036854775807, R1        // 21f84092

* Создайте файл `main.py` со следующим содержимым:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

  public static long SHORT_DELAY_MS;
  public static long SMALL_DELAY_MS;
  public static long MEDIUM_DELAY_MS;
  public static long LONG_DELAY_MS;

  /**
   * Returns the shortest timed delay. This could be reimplemented to use for example a Property.
   */
  protected long getShortDelay() {
    return 50;
  }

  /** Sets delays as multiples of SHORT_DELAY. */
  protected void setDelays() {

    return result[0] == oldCount;
  }

  @Override
  public void clear() {
    if (!range.hasLowerBound() && !range.hasUpperBound()) {
      // We can do this in O(n) rather than removing one by one, which could force rebalancing.
      for (AvlNode<E> current = header.succ(); current != header; ) {
        AvlNode<E> next = current.succ();

        current.elemCount = 0;

* Crea un archivo `main.py` con:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

    return result[0] == oldCount;
  }

  @Override
  public void clear() {
    if (!range.hasLowerBound() && !range.hasUpperBound()) {
      // We can do this in O(n) rather than removing one by one, which could force rebalancing.
      for (AvlNode<E> current = header.succ(); current != header; ) {
        AvlNode<E> next = current.succ();

        current.elemCount = 0;

response = requests.get("http://example.com/some/url")
```

La operación de path equivalente en FastAPI podría verse como:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

Mira las similitudes entre `requests.get(...)` y `@app.get(...)`.

/// check | Inspiró a **FastAPI** a

* Tener un API simple e intuitivo.

```

A contra-parte na aplicação FastAPI, a operação de rota, poderia ficar assim:

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

Veja as similaridades em `requests.get(...)` e `@app.get(...)`.

/// check | **FastAPI** inspirado para

* Ter uma API simples e intuitiva.

        } catch (final CrawlerSystemException e) {
            httpGet.abort();
            throw e;
        } catch (final Exception e) {
            httpGet.abort();
            throw new CrawlingAccessException("Could not process " + robotTxtUrl + ". ", e);
        } finally {
            EntityUtils.consumeQuietly(httpEntity);
        }
    }

    /**
     * Converts a robots.txt pattern to a regular expression.
     *