* cross origin: cross origin (do not translate to "origen cruzado")
* plugin: plugin (do not translate to "complemento" or "extensión")
* plug-in: plug-in (do not translate to "complemento" or "extensión")
* plug-ins: plug-ins (do not translate to "complementos" or "extensiones")
* full stack: full stack (do not translate to "pila completa")
* full-stack: full-stack (do not translate to "de pila completa")
* stack: stack (do not translate to "pila")

			db.RowsAffected++
			db.AddError(rows.Scan(values...))

			mapValue := map[string]interface{}{}
			scanIntoMap(mapValue, values, columns)
			*dest = append(*dest, mapValue)
		}
	case *int, *int8, *int16, *int32, *int64,
		*uint, *uint8, *uint16, *uint32, *uint64, *uintptr,
		*float32, *float64,
		*bool, *string, *time.Time,
		*sql.NullInt32, *sql.NullInt64, *sql.NullFloat64,

# Introducción a Tipos en Python

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.

    @Override
    public int read(final byte[] b) throws IOException {
        return read(b, 0, b.length);
    }

    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     *
     * @throws IOException
     *             if a network error occurs
     */

    @Override
    public int read(final byte[] b, final int off, final int len) throws IOException {

@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}


@app.put("/items/{item_id}")
def update_item(item_id: int, item: Item):
    return {"item_name": item.name, "item_id": item_id}
```

        }
    }

    /**
     * Reads the contents of the file channel into a byte buffer.
     *
     * @param channel
     *            The file channel. Must not be {@literal null}.
     * @param buffer
     *            The byte buffer. Must not be {@literal null}.
     * @return The number of bytes read.
     */
    public static int read(final FileChannel channel, final ByteBuffer buffer) {

      constructed = pushedConstructed
      if (name != null) path.removeAt(path.size - 1)
    }
  }

  /**
   * Execute [block] with a new namespace for type hints. Type hints from the enclosing type are no
   * longer usable by the current type's members.
   */
  fun <T> withTypeHint(block: () -> T): T {
    typeHintStack.add(null)
    try {
      return block()
    } finally {

}

// fetches a random number between range min-max.
func getRandomRange(minN, maxN int, seed int64) int {
	// special value -1 means no explicit seeding.
	if seed == -1 {
		return rand.New(rand.NewSource(time.Now().UnixNano())).Intn(maxN-minN) + minN
	}
	return rand.New(rand.NewSource(seed)).Intn(maxN-minN) + minN
}

// Randomizes the order of bytes in the byte array

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {