prediction_generation/old-code/summarize_metrics_new_debug.py [7:44]:
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class MethodMeasurement:
    def __init__(self, f1_default=None, precision_default=None, recall_default=None, 
                 f1_oracle=None, precision_oracle=None, recall_oracle=None, 
                 f1_best=None, precision_best=None, recall_best=None, precision_f1_best=None, recall_f1_best=None):
        self.f1_default = f1_default
        self.precision_default = precision_default
        self.recall_default = recall_default
        self.f1_oracle = f1_oracle
        self.precision_oracle = precision_oracle
        self.recall_oracle = recall_oracle
        self.f1_best = f1_best
        self.precision_f1_best = precision_f1_best
        self.recall_f1_best = recall_f1_best
        self.precision_best = precision_best
        self.recall_best = recall_best

    def __setattr__(self, name, value):
        super().__setattr__(name, value)

    def __getattr__(self, name):
        return None


def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "-s",
        "--summary-dir",
        help="Directory with summary files of all datasets/methods",
        required=True,
    )
    parser.add_argument(
        "-f",
        "--failure-threshold",
        help="The threshold of failed dataset runs per hyper parameter configuration (in decimal)",
        default=0.05,
        required=False,
    )
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prediction_generation/summarize_metrics.py [6:43]:
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class MethodMeasurement:
    def __init__(self, f1_default=None, precision_default=None, recall_default=None, 
                 f1_oracle=None, precision_oracle=None, recall_oracle=None, 
                 f1_best=None, precision_best=None, recall_best=None, precision_f1_best=None, recall_f1_best=None):
        self.f1_default = f1_default
        self.precision_default = precision_default
        self.recall_default = recall_default
        self.f1_oracle = f1_oracle
        self.precision_oracle = precision_oracle
        self.recall_oracle = recall_oracle
        self.f1_best = f1_best
        self.precision_f1_best = precision_f1_best
        self.recall_f1_best = recall_f1_best
        self.precision_best = precision_best
        self.recall_best = recall_best

    def __setattr__(self, name, value):
        super().__setattr__(name, value)

    def __getattr__(self, name):
        return None


def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "-s",
        "--summary-dir",
        help="Directory with summary files of all datasets/methods",
        required=True,
    )
    parser.add_argument(
        "-f",
        "--failure-threshold",
        help="The threshold of failed dataset runs per hyper parameter configuration (in decimal)",
        default=0.05,
        required=False,
    )
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