Exemplo n.º 1
0
    def run(self):
        results_path = Path(str(directives.path(self.arguments[0])))
        if not results_path.is_absolute():
            source = str(self.state_machine.input_lines.source(self.lineno - self.state_machine.input_offset - 1))
            results_path = Path(source).resolve().parent().join(results_path)
        results = load_benchmarks(results_path)
        for result in results:
            self.state.document.settings.record_dependencies.add(result["sphinx_benchmark_path"])

        headers = ["Label", "Datetime", "Angles", "Scales", "Mean Correlation"]
        data = [self.extract_result(r) for r in results]

        return [self.create_table([headers] + data)]
Exemplo n.º 2
0
import matplotlib.pyplot as pyplot
import numpy
from pathlib import Path

from benchmark_loader import load_benchmarks


results = load_benchmarks(Path("../benchmark").resolve())

indices = numpy.arange(len(results))
labels = [r.get("label", "") for r in results]
mean_correlations = [r["mean_correlation"] for r in results]
colors = [r["plot_color"] for r in results]

pyplot.gcf().set_size_inches((12, 12), forward=True)

pyplot.ylabel("Mean Correlation to User Study")
pyplot.xticks(indices + 0.4, labels, rotation=90)
pyplot.bar(indices, mean_correlations, color=colors)

pyplot.tight_layout()
pyplot.show()