game.py 文件源码

def get_html(self, base_file_name: str, h_level: int) -> str:
        html = """
            <h{}>Program: {!r} ({} lines, {} entropy)</h{}>
            The following plot shows the mean score per input distribution for every implementation.
        """.format(h_level, self.name, self.line_number, self.entropy, h_level)
        html += self.get_box_plot_html(base_file_name)
        scores = self.get_impl_mean_scores()
        std_devs = self.get_statistical_property_scores(rel_std_dev_func)
        html += """
            <table class="table">
                <tr><th>implementation</th><th>geom mean over means relative to best (per input) aka mean score</th>
                    <th>... std dev rel. to the best mean</th>
                </tr>
        """
        for impl in scores.keys():
            html += """
                <tr><td>{}</td><td>{:5.2%}</td><td>{:5.2%}</td></tr>
            """.format(impl, stats.gmean(scores[impl]), stats.gmean(std_devs[impl]))
        html += "</table>"
        impl_names = list(scores.keys())
        for (i, input) in enumerate(self.prog_inputs.keys()):
            app = html_escape_property(input)
            if len(app) > 20:
                app = str(i)
            html += self.prog_inputs[input].get_html(base_file_name + "_" + app, h_level + 1)
        return html