Adjusted gpu_util to consider node utilization + linter fixes

"""

from raps.job import Job, job_dict

import numpy as np

import math, random, json

import math

class HPL:

                results = self._run_hpl_model(**test)

                total_time = results["T_total"]

                gpu_util = results["gpu_util"]

                gpu_util = self.config_map[self.args.system]['GPUS_PER_NODE'] * results["gpu_util"]

                cpu_util = results["cpu_util"]

                num_samples = math.ceil(total_time / trace_quanta) + 1

if __name__ == "__main__":

    import json

    import numpy as np

    # Mock minimal configuration values to mimic ExaDigiT runtime

    class DummyHPL(HPL):