def __init__(self, domain):
self.domain = domain
self.directory = os.path.join(BENCHMARKS_DIR, domain)
problems = os.listdir(self.directory)
problems = [p for p in problems if "domain" not in p
and not p.startswith(".")]
tools.natural_sort(problems)
self.problems = [Problem(domain, problem) for problem in problems]
def __init__(self, domain):
self.domain = domain
self.directory = os.path.join(BENCHMARKS_DIR, domain)
problems = os.listdir(self.directory)
problems = [
p for p in problems if "domain" not in p and not p.startswith(".")
]
tools.natural_sort(problems)
self.problems = [Problem(domain, problem) for problem in problems]
def cols(self):
if self._cols:
return self._cols
col_names = set()
for row in self.values():
col_names |= set(row.keys())
self._cols = tools.natural_sort(col_names)
return self._cols
def __init__(self, parser=ReportArgParser()):
parser.set_defaults(output_format='tex')
parser.add_argument('focus', choices=SCORES,
help='the analyzed attribute (e.g. "expanded"). '
'The "attributes" parameter is ignored')
parser.add_argument('--squeeze', action='store_true',
help='Use small fonts to fit in more data')
parser.add_argument('--no-best', action='store_false',
dest='best_value_column',
help='Do not add a column with best known score')
parser.add_argument('--page-size', choices=['a2', 'a3', 'a4'],
default='a4',
help='Set the page size for the latex report')
Report.__init__(self, parser)
self.extension = 'tex'
self.name_parts.append(self.focus)
self.focus_name = self.focus
self.normalize = True
self.score = 'score_' + self.focus
if self.focus == 'coverage':
self.focus = 'cost'
self.score = 'coverage'
elif self.focus == 'quality':
self.focus = 'cost'
self.score = 'quality'
logging.info('Using score attribute "%s"' % self.score)
logging.info('Adding column with best value: %s' %
self.best_value_column)
# Get set of configs
self.configs = tools.natural_sort(self.data.group_dict('config').keys())
self.total_scores = self._compute_total_scores()
def rows(self):
# Let the sum, etc. rows be the last ones
return tools.natural_sort(self.keys())