#imports for runmanager - labscript from runmanager_remote import run_experiment import importlib _module_cache = {} # use this script if you want to test a single iteration of NNDy with your sequence and DA, # if you get the cost dictionary printed at the end as expected, the test is passed def cost_function(cost_model, hdf5_file): module_name = cost_model #looks in the cache if the file was accessed already, otherwise imports the cost function if module_name not in _module_cache: try: module = importlib.import_module(module_name) cost_func = getattr(module, 'cost') _module_cache[module_name] = { "cost_func": cost_func , } except (ModuleNotFoundError, AttributeError) as e: raise ImportError(f'Failed to load cost function from "{module_name}.py": {e}') cost_model = _module_cache[module_name]["cost_func"] return cost_model(hdf5_file) if __name__ == '__main__': #provide routine_name and cost_model like in NNDy.py routine_name = '' cost_model = '' #set the input parameters with the values that you want to test in a dictionary TestVar = { } hdf_output_file = run_experiment(routine_name, global_var = TestVar) print('run finished') cost = cost_function(cost_model, hdf_output_file) #print('I am back') print(cost)