def tearDown(self) -> None:
try:
os.remove("tmp.pkl")
except FileNotFoundError:
pass
try:
delete_experiments_folder("test")
except FileNotFoundError:
pass
#Done with the experiment, return the results dictionary like normal
return {"number": self.r}
else:
#This experiment isn't done, return the progress as a tuple to update the dashboard
return (self.i, self.num_calls)
#Same specification as before
generation_specification = {
"seed": [1, 2, 3, 4, 5, 6, 7, 8],
"num_calls": [1, 2, 3]
}
specifications = SpecificationGenerator().generate(generation_specification)
name = "checkpointed_run"
#This time we will run them all in parallel
runner = ExperimentRunner()
runner.run(name,
specifications,
SimpleExperiment(),
specification_runner=MultiprocessingRunner())
#Some of our experiments may have failed, let's call run again to hopefully solve that
runner.run(name,
specifications,
SimpleExperiment(),
specification_runner=MultiprocessingRunner())
#Cleanup example
delete_experiments_folder(name)