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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def xray_heartbeat_batch_handler(self, unused_channel, data):
 """Handle an xray heartbeat batch message from Redis."""


        gcs_entries = ray.gcs_utils.GcsTableEntry.GetRootAsGcsTableEntry(
            data, 0)
        heartbeat_data = gcs_entries.Entries(0)

        message = (ray.gcs_utils.HeartbeatBatchTableData.
                   GetRootAsHeartbeatBatchTableData(heartbeat_data, 0))

        for j in range(message.BatchLength()):
            heartbeat_message = message.Batch(j)

            num_resources = heartbeat_message.ResourcesAvailableLabelLength()
            static_resources = {}
            dynamic_resources = {}
            for i in range(num_resources):
                dyn = heartbeat_message.ResourcesAvailableLabel(i)
                static = heartbeat_message.ResourcesTotalLabel(i)
                dynamic_resources[dyn] = (
                    heartbeat_message.ResourcesAvailableCapacity(i))
                static_resources[static] = (
                    heartbeat_message.ResourcesTotalCapacity(i))

            # Update the load metrics for this raylet.
            client_id = ray.utils.binary_to_hex(heartbeat_message.ClientId())
            ip = self.raylet_id_to_ip_map.get(client_id)
            if ip:
                self.load_metrics.update(ip, static_resources,
                                         dynamic_resources)
            else:
                logger.warning(
                    "Monitor: "
                    "could not find ip for client {}".format(client_id))