"instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Uptime",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },

                                <Days>60</Days>
                              </DelMarkerExpiration>
                             </Rule>
                       </LifecycleConfiguration>`,
			objectName:             "obj-1",
			objectModTime:          time.Now().UTC().Add(-90 * 24 * time.Hour),
			objectSuccessorModTime: time.Now().UTC().Add(-60 * 24 * time.Hour),
			isDelMarker:            true,

        .cache(cache)
        .build()
    server.enqueue(
      MockResponse(
        headers = headersOf("cache-control", "max-age=60"),
        body = "ABCD",
      ),
    )
    server.enqueue(
      MockResponse(
        headers = headersOf("cache-control", "max-age=60"),
        body = "EFGH",
      ),
    )
    val call1 = client.newCall(Request(server.url("/")))
    val response1 = call1.execute()

     * The close timeout is the maximum amount of time after the client calls [WebSocket.close] to
     * wait for a graceful shutdown. If the server doesn't respond the web socket will be canceled.
     * The default value is 60 seconds.
     */
    fun webSocketCloseTimeout(
      timeout: Long,
      unit: TimeUnit,
    ) = apply {
      webSocketCloseTimeout = checkDuration("webSocketCloseTimeout", timeout, unit)
    }

			},
			Prefixes: []string{"Asia/India/Karnataka/"},
		},
		// ListObjectsResult-28.
		// Marker is set to "Asia/India/India-summer-photos-1" and delimiter set in the testCase, (testCase 60).
		28: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "newPrefix0"},
				{Name: "newPrefix1"},
				{Name: "obj0"},
				{Name: "obj1"},
				{Name: "obj2"},
			},

	checkField(&UniqueStruct4{}, "name", true, "")

	type ( // uniqueIndex
		UniqueStruct5 struct {
			Name string `gorm:"size:50;uniqueIndex"`
		}
		UniqueStruct6 struct {
			Name string `gorm:"size:60;uniqueIndex"`
		}
		UniqueStruct7 struct {
			Name     string `gorm:"size:70;uniqueIndex:idx_us6_all_names"`
			NickName string `gorm:"size:70;uniqueIndex:idx_us6_all_names"`
		}
	)

00001e0 85 9d 8f b6 d7 88 07 4a 86 03 db 64 f3 d9 92 73
00001f0 df ec a7 fc 23 4c 8d 83 79 63 2a d9 fd 8d b3 c8
0000200 8f 7e d4 19 85 e6 8d 1c 76 f0 8b 58 32 fd 9a d6
0000210 85 e2 48 ad c3 d5 60 6f 7e 22 dd ef 09 49 7c 7f
0000220 3a 45 c3 71 b7 df f3 4c 63 fb b5 d9 31 5f 6e d6
0000230 24 1d a4 4a fe 32 a7 5c 16 48 5c 3e 08 6b 8a d3
0000240 25 1d a2 12 a5 59 24 ea 20 5f 52 6d ad 94 db 6b

- login: ArcLightSlavik
  count: 71
  avatarUrl: https://avatars.githubusercontent.com/u/31127044?u=b0f2c37142f4b762e41ad65dc49581813422bd71&v=4
  url: https://github.com/ArcLightSlavik
- login: JavierSanchezCastro
  count: 60
  avatarUrl: https://avatars.githubusercontent.com/u/72013291?u=ae5679e6bd971d9d98cd5e76e8683f83642ba950&v=4
  url: https://github.com/JavierSanchezCastro
- login: falkben
  count: 59

# major release. Example: sm_80 kernels can run on sm_89 GPUs but
# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
build:cuda_clang --repo_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
build:cuda_clang_official --config=cuda_clang
build:cuda_clang_official --action_env=TF_CUDA_VERSION="12"

                }
              }
            ]
          }
        ]
      },
      "gridPos": {
        "h": 6,
        "w": 6,
        "x": 6,
        "y": 6
      },
      "id": 60,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {