Next, it 🤖 takes the first task to finish (let's say, our "slow-file" 📝) and continues whatever it had to do with it.

That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:

* the data from the client to be sent through the network

     * reset.
     *
     * @return the array of bytes for the resulting hash value.
     */
    @Override
    public byte[] engineDigest() {
        // pad output to 56 mod 64; as RFC1320 puts it: congruent to 448 mod 512
        final int bufferNdx = (int) (count % BLOCK_LENGTH);
        final int padLen = bufferNdx < 56 ? 56 - bufferNdx : 120 - bufferNdx;

Dann nimmt es 🤖 die erste erledigte Aufgabe (sagen wir, unsere „Langsam-Datei“ 📝) und bearbeitet sie weiter.

Das „Warten auf etwas anderes“ bezieht sich normalerweise auf <abbr title="Input and Output – Eingabe und Ausgabe">I/O</abbr>-Operationen, die relativ „langsam“ sind (im Vergleich zur Geschwindigkeit des Prozessors und des Arbeitsspeichers), wie etwa das Warten darauf, dass:

- Kubeadm: add a new `output/v1alpha2` API that is identical to the `output/v1alpha1`, but attempts to resolve some internal dependencies with the `kubeadm/v1beta2` API. The `output/v1alpha1` API is now deprecated and will be removed in a future release. ([#105295](https://github.com/kubernetes/kubernetes/pull/105295), [@neolit123](https://github.com/neolit123))...

			objectsToDelete[object] = index
		}
	}

	toNames := func(input map[ObjectToDelete]int) (output []ObjectToDelete) {
		output = make([]ObjectToDelete, len(input))
		idx := 0
		for obj := range input {
			output[idx] = obj
			idx++
		}
		return output
	}

	// Disable timeouts and cancellation
	ctx = bgContext(ctx)

	deleteList := toNames(objectsToDelete)

        when(mockTreeHandle.send(any(Smb2WriteRequest.class), any())).thenReturn(mockWriteResponse);
        when(mockWriteResponse.getCount()).thenReturn(8);

        // Create output stream in append mode - note the append flag sets initial fp to 100
        outputStream = new SmbFileOutputStream(mockFile, mockTreeHandle, mockFileHandle,

Вы можете узнать, как <a href="https://heyapi.dev/openapi-ts/get-started" class="external-link" target="_blank">установить `@hey-api/openapi-ts`</a> и почитать о <a href="https://heyapi.dev/openapi-ts/output" class="external-link" target="_blank">сгенерированном результате</a> на их сайте.

### Использование SDK { #using-the-sdk }

You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

 *
 * The end of the range is not encoded, but can be inferred by looking at the start of the range
 * that follows.
 *
 * b1
 * --
 *
 * This is either a mapping decision or the length of the mapped output, according to this table:
 *
 * ```
 *  0..63 : Length of the UTF-16 sequence that this range maps to. The offset is b2b3.
 * 64..79 : Offset by a fixed negative offset. The bottom 4 bits of b1 are the top 4 bits of the offset.

 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));
 * analyzer.analyzePom(model);
 * analyzer.printAnalysis();
 * </pre>
 *
 * <p>The analysis output includes:</p>
 * <ul>
 *   <li>Total memory usage per POM path</li>
 *   <li>Potential memory savings through string deduplication</li>
 *   <li>Most frequent string values and their occurrence counts</li>