// not needed when compiling with recent JDKs, e.g. 17
  options.compilerArgs.add("-Xlint:-requires-transitive-automatic")

  // Patch the compileKotlinJvm output classes into the compilation so exporting packages works correctly.
  options.compilerArgs.addAll(
    listOf(
      "--patch-module",
      "$moduleName=${compileKotlinTask.destinationDirectory.get().asFile}"
    )

 * <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>

     * 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;

        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.

*   `tensorflow.experimental.tensorrt`:

        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.

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).
 *

Sie können lernen, wie man <a href="https://heyapi.dev/openapi-ts/get-started" class="external-link" target="_blank">`@hey-api/openapi-ts` installiert</a> und über die <a href="https://heyapi.dev/openapi-ts/output" class="external-link" target="_blank">erzeugte Ausgabe</a> auf deren Website lesen.

### Das SDK verwenden { #using-the-sdk }

Você pode aprender como <a href="https://heyapi.dev/openapi-ts/get-started" class="external-link" target="_blank">instalar `@hey-api/openapi-ts`</a> e ler sobre o <a href="https://heyapi.dev/openapi-ts/output" class="external-link" target="_blank">resultado gerado</a> no site deles.

### Usando o SDK { #using-the-sdk }