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"""
A model is the output of simulator. It contains the data the simulator output, under a certain topology, seed,
workload, datacenter configuration, etc. A model is further used in the analyzer as part of the MultiModel class,
and further in the MetaModel class.
:param sim: the simulation data of the model
"""
import json
class Model:
"""
Represents a single simulation output containing various data metrics collected under specific simulation conditions.
A Model object stores raw and processed simulation data and is designed to interact with higher-level structures like
MultiModel and MetaModel for complex data analysis.
"""
def __init__(self, raw_sim_data, identifier: str):
self.raw_sim_data = raw_sim_data
self.id: str = str(identifier)
self.processed_sim_data = []
self.cumulative_time_series_values = []
self.cumulated: float = 0.0
self.experiment_name: str = ""
self.margins_of_error = []
self.topologies = []
self.workloads = []
self.allocation_policies = []
self.carbon_trace_paths = []
def is_meta_model(self) -> bool:
return self.id == "M"
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