* La variable `items_s` es un `set`, y cada uno de sus ítems es del tipo `bytes`.

#### Dict { #dict }

Para definir un `dict`, pasas 2 parámetros de tipo, separados por comas.

El primer parámetro de tipo es para las claves del `dict`.

El segundo parámetro de tipo es para los valores del `dict`:

{* ../../docs_src/python_types/tutorial008_py39.py hl[1] *}

func hashDeterministicString(m map[string]string) uint64 {
	// Seed (random)
	crc := uint64(0xc2b40bbac11a7295)
	// Xor each value to make order independent
	for k, v := range m {
		// Separate key and value with an individual xor with a random number.
		// Add values of each, so they cannot be trivially collided.
		crc ^= (xxh3.HashString(k) ^ 0x4ee3bbaf7ab2506b) + (xxh3.HashString(v) ^ 0x8da4c8da66194257)
	}

		bits = (bits &^ 0xf) | arm.C_SCOND_NONE
	}
	prog.Scond = bits
	return true
}

// ParseARMCondition parses the conditions attached to an ARM instruction.
// The input is a single string consisting of period-separated condition
// codes, such as ".P.W". An initial period is ignored.
func ParseARMCondition(cond string) (uint8, bool) {
	return parseARMCondition(cond, armLS, armSCOND)
}

### Separate Program { #separate-program }

To achieve this, you will normally have a **separate program** that would make sure your application is run on startup. And in many cases, it would also make sure other components or applications are also run, for example, a database.

        return ComponentUtil.getDocumentHelper().encodeSimilarDocHash(input);
    }

    /**
     * Joins array or list elements into a single space-separated string.
     *
     * @param input the input object (String[], List, or String)
     * @return joined string with elements separated by spaces, or empty string if invalid input
     */
    public static String join(final Object input) {
        String[] values = null;

	// Bucket metrics are special, they always include the bucket label. These
	// metrics required a list of buckets to be passed to the loader, and the list
	// of buckets is not known until the request is made. So we keep a separate
	// map for bucket metrics and handle them specially.

	// Add the serverName and poolIndex labels to all non-cluster metrics.
	//
	// Also create metric group maps and set the cache.

    // This way we can catch discrepancies in modules easier. We should make all packages NullMarked eventually too, but this is a separate task.
    annotatedPackages.add("org.gradle")
}

dependencies {
    attributesSchema {
        attribute(NullawayAttributes.nullawayAttribute) {

      listeners.get(i).dispatch();
    }
  }

  /**
   * A special purpose queue/executor that dispatches listener events serially on a configured
   * executor. Each event can be added and dispatched as separate phases.
   *
   * <p>This class is very similar to {@link SequentialExecutor} with the exception that events can
   * be added without necessarily executing immediately.
   */

 * lookups.
 *
 * <p>During construction, names are normalized in two ways:
 *
 * <ol>
 *   <li>ASCII uppercase characters are converted to lowercase.
 *   <li>Unicode dot separators other than the ASCII period ({@code '.'}) are converted to the ASCII
 *       period.
 * </ol>
 *
 * <p>The normalized values will be returned from {@link #toString()} and {@link #parts()}, and will

            // Given: Original value that fits in byte range
            int originalValue = 150;
            NdrShort ndrShort1 = new NdrShort(originalValue);

            // Create separate mocks for encoding and decoding to simulate real buffer
            NdrBuffer encodeBuffer = mock(NdrBuffer.class);
            NdrBuffer decodeBuffer = mock(NdrBuffer.class);