def render_sample_results(self, output_port):
print(latex.subsection("Notes"), file=output_port)
num_sampled = sum((1 for v in self.stats_by_config.values() if v))
print("Sampled %s of %s configurations." % (num_sampled, self.get_num_configurations()), file=output_port)
print(latex.table(["\# Typed", "\# Configs", "\# Samples", "Sample Mean", "Sample Variance", "95\% CI", "Standard Error", "Jarque-Bera"]
,[self.sample_stats((lambda cfg, nt=n: config.num_typed_modules(cfg) == n), n) for n in range(self.get_num_modules())]), file=output_port)
def random_sample(self, num_typed=None):
matches = [cfg for cfg in self.all_configurations()
if config.num_typed_modules(cfg) == num_typed]
# Randomly select `sample_size` items from the population of `matches`.
return [matches[random.randint(0, len(matches)-1)]
for _ in range(self.sample_size)]
