Tweak to formatting of warning message.

这个提交包含在:
Craig Warren
2016-08-17 10:40:42 +01:00
父节点 59eb30e911
当前提交 62a16626fc

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@@ -18,7 +18,7 @@
from collections import OrderedDict from collections import OrderedDict
import datetime import datetime
import importlib from importlib import import_module
import os import os
import pickle import pickle
from shutil import get_terminal_size from shutil import get_terminal_size
@@ -71,7 +71,7 @@ def run_opt_sim(args, numbermodelruns, inputfile, usernamespace):
optparamshist = OrderedDict((key, list()) for key in optparams) optparamshist = OrderedDict((key, list()) for key in optparams)
# Import specified fitness function # Import specified fitness function
fitness_metric = getattr(importlib.import_module('user_libs.optimisation_taguchi.fitness_functions'), fitness['name']) fitness_metric = getattr(import_module('user_libs.optimisation_taguchi.fitness_functions'), fitness['name'])
# Select OA # Select OA
OA, N, cols, k, s, t = construct_OA(optparams) OA, N, cols, k, s, t = construct_OA(optparams)
@@ -275,7 +275,7 @@ def construct_OA(optparams):
else: else:
# THIS CASE NEEDS FURTHER TESTING # THIS CASE NEEDS FURTHER TESTING
print(Fore.RED + '\nWARNING: Optimising more than 7 parameters is currently an experimental feature!' + Style.RESET_ALL) print(Fore.RED + 'WARNING: Optimising more than 7 parameters is currently an experimental feature!' + Style.RESET_ALL)
p = int(np.ceil(np.log(k * (s - 1) + 1) / np.log(s))) p = int(np.ceil(np.log(k * (s - 1) + 1) / np.log(s)))