var id = lastId
    var type: String? = null
    val data = Buffer()

    while (true) {
      when (source.select(options)) {
        in 0..2 -> {
          completeEvent(id, type, data)
          return true
        }

        in 3..4 -> {
          source.readData(data)
        }

        in 5..7 -> {
          data.writeByte('\n'.code) // 'data' on a line of its own.
        }

        in 8..9 -> {

		{"DATA", "", "expect two operands for DATA"},
		{"DATA", "0", "expect two operands for DATA"},
		{"DATA", "(0), 1", "expect /size for DATA argument"},
		{"DATA", "@B(SB)/4,0", "expected '(', found B"}, // Issue 23580.
		{"DATA", "·A(SB)/4,0", "DATA value must be an immediate constant or address"},
		{"DATA", "·B(SB)/4,$0", ""},
		{"DATA", "·C(SB)/5,$0", "bad int size for DATA argument: 5"},

            data = websocket.receive_text()
            assert data == f"Message text was: {message}, for item ID: bar"
            message = "Message two"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == "Session cookie or query token value is: some-token"
            data = websocket.receive_text()

            assert data == "Session cookie or query token value is: some-token"
            data = websocket.receive_text()
            assert data == f"Message text was: {message}, for item ID: bar"
            message = "Message two"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == "Session cookie or query token value is: some-token"

        public ApiDocsResponse renderData(final SearchRenderData data) {
            queryId = data.getQueryId();
            docs = data.getDocumentItems();
            highlightParams = data.getAppendHighlightParams();
            execTime = data.getExecTime();
            pageSize = data.getPageSize();
            pageNumber = data.getCurrentPageNumber();
            recordCount = data.getAllRecordCount();

  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();
  buf->data_deallocator = [](void* data, size_t length) {
    tensorflow::port::Free(data);
  };
}

TFE_MonitoringStringGauge0* TFE_MonitoringNewStringGauge0(

            try {
                final StatsObject data = statsCache.getIfPresent(key);
                if (data != null && data.decrement() <= 0) {
                    statsCache.invalidate(key);
                    final Long begin = data.remove(BEGIN_KEY);
                    if (begin != null) {
                        printStats(keyObj, data, begin, true);
                    }
                }

        data = "<img src=\"http://example/foo.jpg\" width=\"100\" height=\"10\">";
        assertNull(transformer.getThumbnailUrl(responseData, getDocument(data)));

        data = "<img src=\"http://example/foo.jpg\" width=\"400\" height=\"100\">";
        assertNull(transformer.getThumbnailUrl(responseData, getDocument(data)));

def test_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_post_invalid_body(client: TestClient):
    data = {"foo": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 422, response.text

// getSHA256Hash returns SHA-256 hash in hex encoding of given data.
func getSHA256Hash(data []byte) string {
	return hex.EncodeToString(getSHA256Sum(data))
}

// getSHA256Hash returns SHA-256 sum of given data.
func getSHA256Sum(data []byte) []byte {
	hash := sha256.New()
	hash.Write(data)
	return hash.Sum(nil)
}

// getMD5Sum returns MD5 sum of given data.
func getMD5Sum(data []byte) []byte {
	hash := md5.New()
	hash.Write(data)