Name:   "ndjson",
			Hidden: true,
		},
		cli.BoolFlag{
			Usage: "display inline data keys and sizes",
			Name:  "data",
		},
		cli.BoolFlag{
			Usage: "export inline data",
			Name:  "export",
		},
		cli.BoolFlag{
			Usage: "combine inline data",
			Name:  "combine",
		},
		cli.BoolFlag{
			Usage: "combine inline data across versions when size matches",
			Name:  "xver",
		},
	}

		{"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"},

            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"

Isso, mais o simples fato que Python é a principal linguagem para **Data Science**, Machine Learning e especialmente Deep Learning, faz do FastAPI uma ótima escolha para APIs web e aplicações com Data Science / Machine Learning (entre muitas outras).

		return nil
	}
	return e.EncodeElement(int(eDays), startElement)
}

// ExpirationDate is a embedded type containing time.Time to unmarshal
// Date in Expiration
type ExpirationDate struct {
	time.Time
}

// UnmarshalXML parses date from Expiration and validates date format
func (eDate *ExpirationDate) UnmarshalXML(d *xml.Decoder, startElement xml.StartElement) error {
	var dateStr string

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

		},
		{ // Expiration with invalid date
			inputXML: ` <Expiration>
                                    <Date>invalid date</Date>
                                    </Expiration>`,
			expectedErr: errLifecycleInvalidDate,
		},
		{ // Expiration with both number of days nor a date
			inputXML: `<Expiration>
		                    <Date>2019-04-20T00:01:00Z</Date>
		                    </Expiration>`,

            message = "Message one"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == f"Message text was: {message}"
            message = "Message two"
            websocket.send_text(message)
            data = websocket.receive_text()

        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(