Merge branch 'main' of code.ornl.gov:exadigit/raps

        system_util = self.num_active_nodes / AVAILABLE_NODES * 100

        self.sys_util_history.append((self.current_time, system_util))

        # Render the updated layout

        output_df = None

        # Update power history every 15s

        if self.current_time % POWER_UPDATE_FREQ == 0:

            total_power_kw = sum(row[-1] for row in rack_power) + NUM_CDUS * POWER_CDU / 1000.0

            total_loss_kw = sum(row[-1] for row in rack_loss)

            self.power_manager.history.append((self.current_time, total_power_kw))

            self.power_manager.loss_history.append((self.current_time, total_loss_kw))

            output_df = self.power_manager.get_power_df(rack_power, rack_loss)

            pflops = self.flops_manager.get_system_performance() / 1E15

            gflop_per_watt = pflops * 1E6 / (total_power_kw * 1000)

        else:    

            pflops, gflop_per_watt = None, None

        # Render the updated layout

        output_df = None

        if self.cooling_model:

            if self.current_time % FMU_UPDATE_FREQ == 0:

                    self.layout_manager.update_pressflow_array(cooling_df)

        if self.current_time % UI_UPDATE_FREQ == 0:

            # Get a dataframe of the power data

            power_df = self.power_manager.get_power_df(rack_power, rack_loss)

from datetime import timedelta

import hashlib

import math

import numpy as np

import pandas as pd