def dev__filter_by_cost_function():
print(80*'-')
print('{:^80}'.format('filter_by_cost_functio'))
testing_set = get_testing_set()
config_fn = testing_set['config_fn']
results_data_fn = testing_set['results_fn']
assert os.path.isfile(config_fn)
assert os.path.isfile(results_data_fn)
o = PyposmatDataAnalyzer(config_fn=config_fn,results_data_fn=results_data_fn)
weights = o.get_weights_by_z_error_normalization()
pct_to_keep = 0.95
is_survive_idx,filter_info = o.filter_by_cost_function(
loss_function_type='abs_error',
cost_function_type='weighted_sum',
weights=weights,
pct_to_keep=pct_to_keep
)
print('type(is_survive_idx):{}'.format(type(is_survive_idx)))
print('type(cost_function_info:{}'.format(type(filter_info)))
assert isinstance(is_survive_idx,set)
assert isinstance(filter_info,OrderedDict)
print('<---- START: str__filter_by_cost_function_filter_info')
print(o.str__filter_by_cost_function_filter_info(filter_info=filter_info))
print('<---- END: str__filter_by_cost_function_filter_info')
def dev__get_weights_by_z_error_normalization():
testing_set = get_testing_set()
config_fn = testing_set['config_fn']
results_data_fn = testing_set['results_fn']
assert os.path.isfile(config_fn)
assert os.path.isfile(results_data_fn)
o = PyposmatDataAnalyzer(config_fn=config_fn,results_data_fn=results_data_fn)
weights = o.get_weights_by_z_error_normalization()
assert isinstance(weights,OrderedDict)
for k,v in weights.items():
assert k in o.qoi_names
assert isinstance(v,float)
print(o.str__cost_function_weights(weights=weights))
