def running_shock_tube_simulations(self, loop_counter=0):
optimization_instance = opt.Optimization_Utility()
if loop_counter == 0:
experiment_dictonaries = optimization_instance.looping_over_parsed_yaml_files(
self.list_of_parsed_yamls,
self.yaml_file_list_with_working_directory,
processor=self.processor,
kineticSens=self.kineticSens,
physicalSens=self.physicalSens,
dk=self.perturbment)
experiment_dict_uncertainty_original = optimization_instance.saving_experimental_dict(
experiment_dictonaries)
#self.experiment_dict_uncertainty_original = experiment_dict_uncertainty_original
self.experiment_dict_uncertainty_original = copy.deepcopy(
experiment_dict_uncertainty_original)
#call function taht loops opver experient dicts og and saves them
else:
experiment_dictonaries = optimization_instance.looping_over_parsed_yaml_files(
self.list_of_parsed_yamls,
self.updated_yaml_file_name_list,
processor=self.processor,
kineticSens=self.kineticSens,
physicalSens=self.physicalSens,
dk=self.perturbment)
self.experiment_dictonaries = experiment_dictonaries
#maybe save this and just pass it in
return
def running_shock_tube_simulations(self):
optimization_instance = opt.Optimization_Utility()
experiment_dictonaries = optimization_instance.looping_over_parsed_yaml_files(
self.list_of_parsed_yamls,
self.yaml_file_list_with_working_directory,
processor=self.processor,
kineticSens=self.kineticSens,
physicalSens=self.physicalSens,
dk=self.perturbment)
self.experiment_dictonaries = experiment_dictonaries
return
#
test_p = pr.Processor(
'/Users/carlylagrotta/Desktop/MSI/data/test_data/FFCM1_custom.cti')
yaml_file_list = [
('MSI/data/test_data/Hong_4.yaml', 'MSI/data/test_data/Hong_4_abs.yaml'),
('MSI/data/test_data/Hong_1.yaml', ),
('MSI/data/test_data/Troe_6.yaml', 'MSI/data/test_data/Troe_6_abs.yaml'),
('MSI/data/test_data/Hong_4.yaml', 'MSI/data/test_data/Hong_4_abs.yaml')
]
yaml_instance = yp.Parser()
list_of_yaml_objects = yaml_instance.load_yaml_list(yaml_list=yaml_file_list)
list_of_experiment_dicts = yaml_instance.parsing_multiple_dictonaries(
list_of_yaml_objects=list_of_yaml_objects)
optimization_instance = opt.Optimization_Utility()
test = optimization_instance.looping_over_parsed_yaml_files(
list_of_experiment_dicts,
yaml_file_list,
processor=test_p,
kineticSens=1,
physicalSens=1,
dk=.01)
matix_instance = ml.OptMatrix()
Y_matrix, Y1 = matix_instance.load_Y(test,
list_of_experiment_dicts,
loop_counter=0)
z_matrix, z1, sigma = matix_instance.build_Z(