def _as_stats(all_proximities):
return [
desc_stats.DescriptiveStats(name, proximities_for_one)
for name, proximities_for_one in all_proximities.items()
]
def run(args):
with open(args.file, "r") as file_to_calc:
complexity_by_line = complexity_calculations.calculate_complexity_in(
file_to_calc.read())
stats = desc_stats.DescriptiveStats(args.file, complexity_by_line)
as_csv(stats)
def run_file(filename, writer):
with open(filename, "r") as file_to_calc:
complexity_by_line = complexity_calculations.calculate_complexity_in(
file_to_calc.read())
stats = desc_stats.DescriptiveStats(filename, complexity_by_line)
writer.print_stats(filename, stats)
def as_stats(revision, complexity_by_line):
return desc_stats.DescriptiveStats(revision, complexity_by_line)
def _stats_for(self, all_values):
relevant = [r for r in all_values if r != 0]
return desc_stats.DescriptiveStats('aggregate', relevant)