def create_run_table(self) -> List[Dict]:
run_table = RunTableModel(factors=[
FactorModel("mission_task",
['computation', 'video', 'networking']),
FactorModel("runs_per_variation", range(1, 6))
],
data_columns=["avg_cpu", "avg_ram"])
run_table.create_experiment_run_table()
return run_table.get_experiment_run_table()
def create_run_table(self) -> List[Dict]:
"""Create and return the run_table here. A run_table is a List (rows) of tuples (columns),
representing each run robot-runner must perform"""
run_table = RunTableModel(factors=[
FactorModel("logging", ['ON', 'OFF']),
FactorModel("mission_type", ['computation', 'networking']),
FactorModel("run_number", range(1, 7))
])
run_table.create_experiment_run_table()
return run_table.get_experiment_run_table()
def create_run_table(self) -> List[Dict]:
"""Create and return the run_table here. A run_table is a List (rows) of tuples (columns),
representing each run robot-runner must perform"""
run_table = RunTableModel(
factors = [
FactorModel("example_factor", ['example_treatment1', 'example_treatment2']),
FactorModel("nr_of_runs", range(0, 2))
],
data_columns=['test']
)
run_table.create_experiment_run_table()
return run_table.get_experiment_run_table()
def create_run_table(self) -> List[Dict]:
"""Create and return the run_table here. A run_table is a List (rows) of tuples (columns),
representing each run robot-runner must perform"""
run_table = RunTableModel(
factors = [
FactorModel("example_factor", ['example_treatment1', 'example_treatment2'])
],
exclude_variations = [
{"example_treatment1"}, # all runs having treatment example_treatment1 will be excluded
{"example_treatment1", "example_treatment2"} # all runs having the combination <treatment1, treatment2> will be excluded
]
)
run_table.create_experiment_run_table()
return run_table.get_experiment_run_table()