objf = TestFuncs.F5
parms_func = {
'func_name': objf.__name__,
'x_lb': -10,
'x_ub': 10,
'dim': 5,
'kwargs': {}
}
parms_opter = {'opter_name': 'GWO-test', 'PopSize': 20, 'Niter': 1000}
# logger = simple_logger()
logger = get_logger('./test/GWO_test.txt', screen_show=True)
# parms_log = {'logger': logger, 'nshow': 10}
parms_log = {'logger': logger, 'nshow': 100}
func_opter_parms = FuncOpterInfo(parms_func, parms_opter, parms_log)
func_opter_parms = GWO(objf, func_opter_parms)
vals = pd.DataFrame({
'fval_best': func_opter_parms.convergence_curve,
'fval_mean': func_opter_parms.convergence_curve_mean
})
plot_Series(vals, {'fval_best': '-r', 'fval_mean': '-b'}, figsize=(10, 6))
# best_x = func_opter_parms.best_x
# func_opter_parms.parms_log['logger'].info(f'best x: {best_x}')
close_log_file(logger)
print(f'used time: {round(time.time()-strt_tm, 6)}.')
from utils_hoo.utils_logging import logger_Rotating
from utils_hoo.utils_logging import logger_TimedRotating
from test_func import test_func
import time
if __name__ == '__main__':
#%%
logger = logger_general.get_logger(fpath='./test_log/log_test1.log',
fmode='w',
screen_show=True)
logger.info('Log start here *********************************************')
test_func(3, 5, 'this is a warning.', logger)
logger.info('测试结束.')
logger_utils.close_log_file(logger)
logger_utils.remove_handlers(logger)
#%%
logger = logger_Rotating.get_logger(fpath='./test_log/log_test2.log',
fmode='w',
maxK=1,
bkupCount=3,
screen_show=True)
logger.info('Log start here *********************************************')
test_func(3, 1, 'this is a warning.', logger)
logger.info('测试结束.')
logger_utils.close_log_file(logger)
logger_utils.remove_handlers(logger)