<la:message key="labels.webauth_any"/>
                                                        </c:if> ${f:h(data.hostname)}: <c:if
                                                                test="${data.port==null||data.port==''}">

    return HTMLResponse(html)


@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    while True:
        data = await websocket.receive_text()

		chmod +x mc
fi

minio server --address 127.0.0.1:9001 "http://127.0.0.1:9001/tmp/multisitea/data/disterasure/xl{1...4}" \
	"http://127.0.0.1:9002/tmp/multisitea/data/disterasure/xl{5...8}" >/tmp/sitea_1.log 2>&1 &
minio server --address 127.0.0.1:9002 "http://127.0.0.1:9001/tmp/multisitea/data/disterasure/xl{1...4}" \
	"http://127.0.0.1:9002/tmp/multisitea/data/disterasure/xl{5...8}" >/tmp/sitea_2.log 2>&1 &

                                            <c:forEach var="data" varStatus="s"
                                                       items="${stemmerOverrideItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/stemmeroverride/details/${f:u(dictId)}/4/${f:u(data.id)}">

        read_with_orm_mode = getattr(_get_model_config(res), "read_with_orm_mode", None)
        if read_with_orm_mode:
            # Let from_orm extract the data from this model instead of converting
            # it now to a dict.
            # Otherwise, there's no way to extract lazy data that requires attribute
            # access instead of dict iteration, e.g. lazy relationships.
            return res
        return _model_dump(

  for (int i = 0; i < static_cast<int32_t>(shape.size()); ++i) {
    num_elements *= shape[i];
  }
  std::vector<float> data(num_elements);
  for (size_t j = 0; j < num_elements; ++j) {
    data[j] = j;
  }
  DLManagedTensor dlm_in = {};
  DLTensor* dltensor_in = &dlm_in.dl_tensor;
  dltensor_in->data = data.data();
  dltensor_in->device = {kDLCPU, 0};
  dltensor_in->ndim = static_cast<int32_t>(shape.size());

):
    data = {"username": username, "password": password}
    if scope:
        data["scope"] = scope
    response = client.post("/token", data=data)
    content = response.json()
    access_token = content.get("access_token")
    return access_token


@needs_py310
def test_login(client: TestClient):
    response = client.post("/token", data={"username": "johndoe", "password": "secret"})

):
    data = {"username": username, "password": password}
    if scope:
        data["scope"] = scope
    response = client.post("/token", data=data)
    content = response.json()
    access_token = content.get("access_token")
    return access_token


@needs_py39
def test_login(client: TestClient):
    response = client.post("/token", data={"username": "johndoe", "password": "secret"})

                                            <c:forEach var="data" varStatus="s"
                                                       items="${backupItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/backup/download/${f:u(data.id)}/">
                                                    <td>${f:h(data.name)}</td>
                                                </tr>

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}