5,255,.8)}.bg-gradient-pink>.card-header .btn-tool:hover,.bg-pink>.card-header .btn-tool:hover,.card-pink:not(.card-outline)>.card-header .btn-tool:hover{color:#fff}.card.bg-gradient-pink .bootstrap-datetimepicker-widget .table td,.card.bg-gradient-pink .bootstrap-datetimepicker-widget .table th,.card.bg-pink .bootstrap-datetimepicker-widget .table td,.card.bg-pink .bootstrap-datetimepicker-widget .table th{border:none}.card.bg-gradient-pink .bootstrap-datetimepicker-widget table td.day:hover,.c...

none;\n}\n\n.card.bg-pink .bootstrap-datetimepicker-widget table thead tr:first-child th:hover,\n.card.bg-pink .bootstrap-datetimepicker-widget table td.day:hover,\n.card.bg-pink .bootstrap-datetimepicker-widget table td.hour:hover,\n.card.bg-pink .bootstrap-datetimepicker-widget table td.minute:hover,\n.card.bg-pink .bootstrap-datetimepicker-widget table td.second:hover,\n.card.bg-gradient-pink .bootstrap-datetimepicker-widget table thead tr:first-child th:hover,\n.card.bg-gradient-pink .bootstrap-datetimepicker-widget...

ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.18.0.a
# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy == 1.11.3
requests >= 2.31.0
packaging==23.2
setuptools==70.0.0

		ConnPool: db.ConnPool,
		Context:  context.Background(),
		Clauses:  map[string]clause.Clause{},
	}

	if err == nil && !config.DisableAutomaticPing {
		if pinger, ok := db.ConnPool.(interface{ Ping() error }); ok {
			err = pinger.Ping()
		}
	}

	if err != nil {
		config.Logger.Error(context.Background(), "failed to initialize database, got error %v", err)
	}

	return
}

// Session create new db session

            final PingResponse pingResponse = searchEngineClient.ping();
            writeJsonResponse(pingResponse.getStatus() == 0 ? HttpServletResponse.SC_OK : HttpServletResponse.SC_SERVICE_UNAVAILABLE,
                    "\"data\":" + pingResponse.getMessage());
        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a ping request.", e);
            }

      if (delegate == null) {
        return;
      }

      /*
       * If we're about to complete the TimeoutFuture, we want to release our reference to it.
       * Otherwise, we'll pin it (and its result) in memory until the timeout task is GCed. (The
       * need to clear our reference to the TimeoutFuture is the reason we use a *static* nested
       * class with a manual reference back to the "containing" class.)

    byte[] buf1 = createBuffer();
    byte[] buf2 = createBuffer();

    Closer closer = Closer.create();
    try {
      InputStream in1 = closer.register(openStream());
      InputStream in2 = closer.register(other.openStream());
      while (true) {
        int read1 = ByteStreams.read(in1, buf1, 0, buf1.length);
        int read2 = ByteStreams.read(in2, buf2, 0, buf2.length);
        if (read1 != read2 || !Arrays.equals(buf1, buf2)) {

| ![Dashboard](https://github.com/minio/minio/blob/master/docs/screenshots/pic1.png?raw=true) | ![Dashboard](https://github.com/minio/minio/blob/master/docs/screenshots/pic2.png?raw=true) |

## Test using MinIO Client `mc`

                logger.error(() -> "Failed to flush " + stream(indices).get(stream -> stream.collect(Collectors.joining(", "))), e);
            }
        });

    }

    public PingResponse ping() {
        try {
            final ClusterHealthResponse response =
                    client.admin().cluster().prepareHealth().execute().actionGet(ComponentUtil.getFessConfig().getIndexHealthTimeout());

    return status.status;
  }

  absl::StatusOr<bool> ShallPinToThisDevice(
      const ImmediateExecutionOperation* op) override {
    TF_Status status;
    // Let this custom device choose the device to pin this op on if it
    // implements the pinning function.
    if (device_.shall_pin_to_this_device != nullptr) {
      return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status);
    }