```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial008.py!}
```

////

This means:

* The variable `prices` is a `dict`:
    * The keys of this `dict` are of type `str` (let's say, the name of each item).
    * The values of this `dict` are of type `float` (let's say, the price of each item).

#### Union { #union }

```

////

//// tab | Python 3.8+

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial008.py!}
```

////

یعنی:

* متغیر `prices` یه `dict` هست:
    * کلیدهای این `dict` از نوع `str` هستن (مثلاً اسم هر آیتم).
    * مقدارهای این `dict` از نوع `float` هستن (مثلاً قیمت هر آیتم).

#### اتحادیه

	return nil, fmt.Errorf("%w (offline-disks=%d/%d)", errErasureReadQuorum, disksNotFound, len(p.readers))
}

// Decode reads from readers, reconstructs data if needed and writes the data to the writer.
// A set of preferred drives can be supplied. In that case they will be used and the data reconstructed.

# Primeros Pasos

El archivo FastAPI más simple podría verse así:

{* ../../docs_src/first_steps/tutorial001.py *}

Copia eso en un archivo `main.py`.

Ejecuta el servidor en vivo:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

    assertThat(data2.streamId).isEqualTo(3)
    assertArrayEquals("fghi".toByteArray(), data2.data)
  }

  /**
   * Confirm that we account for discarded data frames. It's possible that data frames are in-flight
   * just prior to us canceling a stream.
   */
  @Test fun discardedDataFramesAreCounted() {
    // Write the mocking script.
    peer.sendFrame().settings(Settings())

	if err != nil {
		t.Fatal(err)
	}

	// Object was uploaded with 4 known bad drives, so we should still be able to lose 3 drives and still write to the object.
	erasureDisks = xl.getDisks()
	z.serverPools[0].erasureDisksMu.Lock()
	xl.getDisks = func() []StorageAPI {
		erasureDisks[7] = nil
		erasureDisks[8] = nil

```

////

//// tab | Python 3.8+

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial008.py!}
```

////

Isso significa que:

* A variável `prices` é um dict`:
    * As chaves deste `dict` são do tipo `str` (digamos, o nome de cada item).
    * Os valores deste `dict` são do tipo `float` (digamos, o preço de cada item).

#### Union

Si tienes un objeto similar a un archivo (por ejemplo, el objeto devuelto por `open()`), puedes crear una función generadora para iterar sobre ese objeto similar a un archivo.

De esa manera, no tienes que leerlo todo primero en memoria, y puedes pasar esa función generadora al `StreamingResponse`, y devolverlo.

Esto incluye muchos paquetes para interactuar con almacenamiento en la nube, procesamiento de video y otros.

			if disk == nil || !disk.IsOnline() {
				parityDrives++
				offlineDrives++
				continue
			}
		}

		if offlineDrives >= (len(storageDisks)+1)/2 {
			// if offline drives are more than 50% of the drives
			// we have no quorum, we shouldn't proceed just
			// fail at that point.
			return ObjectInfo{}, toObjectErr(errErasureWriteQuorum, bucket, object)
		}