Get gpu utilization fully working correctly

                machine_ids.append(mid)

                gpus += len(detail.get("gpus", []))

        num_nodes = len(machine_ids)

        gpus_per_node = gpus // num_nodes

        # CPU utilization traces

        #if machine_ids and start and end:

        #    mask = (

        # --- absolute datetimes (used for filtering traces) ---

        submitted_dt = parse_timestamp(raw.get("submitted_time"))

        print("***", machine_ids, start, end)

        gpu_trace = load_gpu_traces_by_day(gpu_trace_dir, start, end)

        mask = (

            (gpu_trace["time"] >= start) &

            (gpu_trace["time"] <= end)

        )

        #job_gpu = gpu_trace.loc[mask].copy()

        #job_gpu_series = job_gpu["gpu_util"].tolist()

        #job_gpu_series = (job_gpu["gpu_util"].to_numpy() * 0.01).tolist()

        job_gpu_trace = (gpu_trace.loc[mask, "gpu_util"].to_numpy() * 0.01).tolist()

        #print(f"  job_gpu shape after filtering: {job_gpu_trace.shape}")

        #if job_gpu_trace.empty:

        #    print("  ⚠ No GPU rows matched this job")

        # Convert traces from percent to fraction of gpus_per_node, e.g., 8 gpus at 100% is 8, at 50% is 4, etc.

        job_gpu_trace = (gpu_trace.loc[mask, "gpu_util"].to_numpy() * 0.01 * gpus_per_node).tolist()

        if machine_ids:

            # Shift times relative to start_ts

                    priority=0,

                    cpu_cores_required=0,

                    gpu_units_required=gpus,

                    allocated_cpu_cores=0,

                    allocated_gpu_units=gpus,

                    gpu_units_required=gpus_per_node,

                    end_state=status,

                    scheduled_nodes=scheduled_nodes,