def analyze_results(self,
i_iteration,
data_fn=None,
config_fn=None,
kde_fn=None,
analysis_fn=None):
""" analyze the results of the simulation
this method analyzes the results of the simulation, and does post simulation
tasks, such as filtering by qoi performance, pareto optimization, etc.
Args:
data_fn(str): the path of the data file. By default this is set to none
where the the file will be determine by i_iteration and internal
attributes
config_fn(str): the path of the data file. By default this is set to none
where the the file will be determine by i_iteration and internal
attributes
kde_fn(str): the path of the data file. By default this is set to none
where the the file will be determine by i_iteration and internal
attributes
"""
if data_fn is None:
data_fn = os.path.join(\
self.root_directory,
self.data_directory,
'pyposmat.results.{}.out'.format(i_iteration))
if config_fn is None:
config_fn = os.path.join(\
self.root_directory,
self.configuration_filename)
if kde_fn is None:
kde_fn = os.path.join(\
self.root_directory,
self.data_directory,
'pyposmat.kde.{}.out'.format(i_iteration+1))
if analysis_fn is None:
analysis_fn = os.path.join(self.root_directory,
self.data_directory,
'pyposmat.analysis.out')
data_analyzer = PyposmatDataAnalyzer()
data_analyzer.initialize_configuration(config_fn=config_fn)
data_analyzer.analyze_results_data(i_iteration, filename=data_fn)
assert isinstance(data_analyzer.results_statistics, OrderedDict)
if os.path.isfile(analysis_fn):
data_analyzer.read_analysis_file(filename=analysis_fn)
self.log(
data_analyzer.str__results_descriptive_statistics(
statistics=data_analyzer.results_statistics))
self.log(data_analyzer.str__qoi_filtering_summary())
data_analyzer.write_kde_file(filename=kde_fn)
data_analyzer.analyze_kde_data(i_iteration, filename=kde_fn)
assert isinstance(data_analyzer.kde_statistics, OrderedDict)
self.log(
data_analyzer.str__kde_descriptive_statistics(
statistics=data_analyzer.kde_statistics))
data_analyzer.update_analysis(i_iteration)
data_analyzer.write_analysis_file(filename=analysis_fn)
if os.path.isfile(analysis_fn):
with open(analysis_fn, 'r') as f:
analysis_results = yaml.load(f, OrderedDictYAMLLoader)
else:
analysis_results = OrderedDict()
for i in range(n_iterations):
if i not in analysis_results:
print('i_iteration:{}'.format(i))
analysis_results[i] = OrderedDict()
analysis_results[i]['results_statistics'] = None
analysis_results[i]['kde_statistics'] = None
analysis_results[i]['filter_info'] = None
filter_info = o.analyze_results_data(
i_iteration=i,
filename=os.path.join(data_directory,
'pyposmat.results.{}.out'.format(i)))
o.analyze_kde_data(i_iteration=i,
filename=os.path.join(
data_directory,
'pyposmat.kde.{}.out'.format(i + 1)))
analysis_results[i]['results_statistics'] = o.results_statistics
analysis_results[i]['kde_statistics'] = o.kde_statistics
analysis_results[i]['filter_info'] = filter_info
print(analysis_results[i]['results_statistics'])
print(analysis_results[i]['filter_info'])
print(analysis_results[i]['kde_statistics'])
else:
pass
