// Response should be created with the same config from context
            verify(mockContext, times(1)).getConfig();
        }

        @Test
        @DisplayName("Should pass output buffer to response")
        void testCreateResponseWithBuffer() {
            byte[] specificBuffer = new byte[2048];
            int offset = 128;

    /**
     * Gets an array of rescorer builders for post-processing search results.
     * This method evaluates all configured query rescorers with the provided parameters.
     *
     * @param params parameters to pass to the rescorers during evaluation
     * @return an array of rescorer builders, filtered to exclude null values
     */
    public RescorerBuilder<?>[] getRescorers(final Map<String, Object> params) {

  }

  /*
   * Whenever an implementation uses `instanceof` on a parameter instance, the test has to know that
   * (so much for "black box") and try instances that both do and don't pass the check. The "don't"
   * half of that is more awkward to arrange...
   */
  private static <T> Iterable<T> iterable(Collection<T> collection) {
    // return collection::iterator;
    return new Iterable<T>() {

	}

	for i, testCase := range testCases {
		s, err := calculatePartSizeFromIdx(GlobalContext, testCase.totalSize, testCase.partSize, testCase.partIndex)
		if err != nil {
			t.Errorf("Test %d: Expected to pass but failed. %s", i+1, err)
		}
		if err == nil && s != testCase.expectedSize {
			t.Errorf("Test %d: The calculated part size is incorrect: expected = %d, found = %d\n", i+1, testCase.expectedSize, s)
		}
	}

	}
	defer xl.Shutdown(t.Context())

	err = xl.MakeBucket(ctx, "bucket", MakeBucketOptions{})
	if err != nil {
		t.Fatal(err)
	}

	// Create object "dir/obj" under bucket "bucket" for Test 7 to pass
	_, err = xl.PutObject(ctx, "bucket", "dir/obj", mustGetPutObjReader(t, bytes.NewReader([]byte("abcd")), int64(len("abcd")), "", ""), ObjectOptions{})
	if err != nil {
		t.Fatalf("Erasure Object upload failed: <ERROR> %s", err)

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',
    'tensorflow/lite/swift/TensorFlowLiteSwift.podspec',
]


class UserInputError(Exception):
  pass


def is_windows():
  return platform.system() == 'Windows'


def is_linux():
  return platform.system() == 'Linux'


def is_macos():
  return platform.system() == 'Darwin'

  }

  /*
   * Whenever an implementation uses `instanceof` on a parameter instance, the test has to know that
   * (so much for "black box") and try instances that both do and don't pass the check. The "don't"
   * half of that is more awkward to arrange...
   */
  private static <T> Iterable<T> iterable(Collection<T> collection) {
    // return collection::iterator;
    return new Iterable<T>() {

* A variável `items_t` é uma `tuple` com 3 itens, um `int`, outro `int` e uma `str`.
* A variável `items_s` é um `set`, e cada um de seus itens é do tipo `bytes`.

#### Dict { #dict }

Para definir um `dict`, você passa 2 parâmetros de tipo, separados por vírgulas.

O primeiro parâmetro de tipo é para as chaves do `dict`.

O segundo parâmetro de tipo é para os valores do `dict`:

                sch.setMaximumCompressionRatio(maxCompressionRatio);
                sch.setOutputThreshold(maxUncompressionSize);

                //pass self to handle embedded documents if
                //the caller hasn't specified one.
                if (context.get(EmbeddedDocumentExtractor.class) == null) {
                    final Parser p = context.get(Parser.class);

        .Builder()
        .onRequestBody(CloseSocket())
        .build(),
    )
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024
    val connection = server.url("/").toUrl().openConnection() as HttpURLConnection
    connection.requestMethod = "POST"
    connection.doOutput = true