"colorMode": "value",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "reduceOptions": {
          "calcs": [
            "mean"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",

    # Either the 'source' or 'remote' *must* be the "local" deployment
#    endpoint: "http://127.0.0.1:9000"
#    # path: "on|off|auto" # "on" enables path-style bucket lookup. "off" enables virtual host (DNS)-style bucket lookup. Defaults to "auto"
#    credentials:
#      accessKey: minioadmin # Required
#      secretKey: minioadmin # Required

.daterangepicker.opensleft:after {
  right: 10px;
}

.daterangepicker.openscenter:before {
  left: 0;
  right: 0;
  width: 0;
  margin-left: auto;
  margin-right: auto;
}

.daterangepicker.openscenter:after {
  left: 0;
  right: 0;
  width: 0;
  margin-left: auto;
  margin-right: auto;
}

.daterangepicker.opensright:before {
  left: 9px;
}

.daterangepicker.opensright:after {
  left: 10px;
}

  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();

        props.setProperty("jcifs.smb.client.useRDMA", "true");
        // Don't set provider, should default to auto

        PropertyConfiguration config = new PropertyConfiguration(props);

        assertTrue(config.isUseRDMA(), "RDMA should be enabled");
        assertEquals("auto", config.getRdmaProvider(), "Provider should default to auto");
    }

TEST(CAPI, MonitoringSampler0) {
  TF_Status* status = TF_NewStatus();
  auto* buckets = TFE_MonitoringNewExponentialBuckets(1.0, 2.0, 2);
  auto* sampler =
      TFE_MonitoringNewSampler0("test/sampler", buckets, status, "test");
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  auto* cell = TFE_MonitoringGetCellSampler0(sampler);
  TFE_MonitoringSamplerCellAdd(cell, 1.0);
  auto* collection_registry = monitoring::CollectionRegistry::Default();

  return new TFE_Executor(&tensorflow::unwrap(ctx)->Executor());
}

void TFE_HostAddressSpace(TFE_Context* ctx, TF_Buffer* buf) {
  auto address_space = tensorflow::DeviceNameUtils::AddressSpace(
      tensorflow::unwrap(ctx)->HostCPUParsedName());
  auto str = tensorflow::DeviceNameUtils::ParsedNameToString(address_space);
  void* data = tensorflow::port::Malloc(str.length());

    public MetadataResolutionException() {
        // TODO Auto-generated constructor stub
    }

    public MetadataResolutionException(String message) {
        super(message);
        // TODO Auto-generated constructor stub
    }

    public MetadataResolutionException(Throwable cause) {
        super(cause);
        // TODO Auto-generated constructor stub
    }

        "minVizHeight": 10,
        "minVizWidth": 0,
        "namePlacement": "auto",
        "orientation": "horizontal",
        "reduceOptions": {
          "calcs": [
            "mean"
          ],
          "fields": "",
          "values": false
        },
        "showUnfilled": false,
        "sizing": "auto",
        "text": {},
        "valueMode": "color"
      },
      "pluginVersion": "10.4.0",

  StringVectorToArrays(list, &list_ptrs, &list_lens);
  int list_total_size = 0;
  for (const auto& s : list) {
    list_total_size += s.size();
  }

  auto desc = init("list(string)");
  TF_SetAttrStringList(desc, "v", list_ptrs.get(), list_lens.get(),
                       list.size());

  auto oper = TF_FinishOperation(desc, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);