LA-MCTS-baselines/Bayesian-Optimization/functions.py [12:37]:
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class tracker:
    def __init__(self, foldername):
        self.counter   = 0
        self.results   = []
        self.curt_best = float("inf")
        self.curt_best_x = None
        self.foldername = foldername
        try:
            os.mkdir(foldername)
        except OSError:
            print ("Creation of the directory %s failed" % foldername)
        else:
            print ("Successfully created the directory %s " % foldername)
        
    def dump_trace(self):
        trace_path = self.foldername + '/result' + str(len( self.results) )
        final_results_str = json.dumps(self.results)
        with open(trace_path, "a") as f:
            f.write(final_results_str + '\n')
            
    def track(self, result, x = None):
        if result < self.curt_best:
            self.curt_best = result
            self.curt_best_x = x
        print("")
        print("="*10)
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LA-MCTS-baselines/Nevergrad/functions.py [12:37]:
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class tracker:
    def __init__(self, foldername):
        self.counter   = 0
        self.results   = []
        self.curt_best = float("inf")
        self.curt_best_x = None
        self.foldername = foldername
        try:
            os.mkdir(foldername)
        except OSError:
            print ("Creation of the directory %s failed" % foldername)
        else:
            print ("Successfully created the directory %s " % foldername)
        
    def dump_trace(self):
        trace_path = self.foldername + '/result' + str(len( self.results) )
        final_results_str = json.dumps(self.results)
        with open(trace_path, "a") as f:
            f.write(final_results_str + '\n')
            
    def track(self, result, x = None):
        if result < self.curt_best:
            self.curt_best = result
            self.curt_best_x = x
        print("")
        print("="*10)
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