def extract_value(run_result):
pos = None
for i, column in enumerate(run_result.columns):
if column.title == column_identifier:
pos = i
break
if pos is None:
sys.exit(f"CPU time missing for task {run_result.task_id}.")
return util.to_decimal(run_result.values[pos])
def extract_time(column_title, time_name, run_result):
pos = None
for i, column in enumerate(run_result.columns):
if column.title == column_title:
pos = i
break
if pos is None:
sys.exit(f"{time_name} time missing for task {run_result.task_id}.")
return util.to_decimal(run_result.values[pos])
def _get_stats_of_number_column(values, categoryList, correct_only):
valueList = [util.to_decimal(v) for v in values]
assert len(valueList) == len(categoryList)
valuesPerCategory = collections.defaultdict(list)
for value, (category, status) in zip(valueList, categoryList):
if status is None:
continue
valuesPerCategory[category, result.get_result_classification(status)].append(
value
)
stats = ColumnStatistics()
stats.total = StatValue.from_list(valueList)
def create_stat_value_for(*keys):
all_values_for_keys = list(
itertools.chain.from_iterable(valuesPerCategory[key] for key in keys)
)
return StatValue.from_list(all_values_for_keys)
stats.correct = create_stat_value_for(
(result.CATEGORY_CORRECT, result.RESULT_CLASS_TRUE),
(result.CATEGORY_CORRECT, result.RESULT_CLASS_FALSE),
)
stats.correct_true = create_stat_value_for(
(result.CATEGORY_CORRECT, result.RESULT_CLASS_TRUE)
)
stats.correct_false = create_stat_value_for(
(result.CATEGORY_CORRECT, result.RESULT_CLASS_FALSE)
)
stats.correct_unconfirmed = create_stat_value_for(
(result.CATEGORY_CORRECT_UNCONFIRMED, result.RESULT_CLASS_TRUE),
(result.CATEGORY_CORRECT_UNCONFIRMED, result.RESULT_CLASS_FALSE),
)
stats.correct_unconfirmed_true = create_stat_value_for(
(result.CATEGORY_CORRECT_UNCONFIRMED, result.RESULT_CLASS_TRUE)
)
stats.correct_unconfirmed_false = create_stat_value_for(
(result.CATEGORY_CORRECT_UNCONFIRMED, result.RESULT_CLASS_FALSE)
)
if not correct_only:
stats.wrong = create_stat_value_for(
(result.CATEGORY_WRONG, result.RESULT_CLASS_TRUE),
(result.CATEGORY_WRONG, result.RESULT_CLASS_FALSE),
)
stats.wrong_true = create_stat_value_for(
(result.CATEGORY_WRONG, result.RESULT_CLASS_TRUE)
)
stats.wrong_false = create_stat_value_for(
(result.CATEGORY_WRONG, result.RESULT_CLASS_FALSE)
)
return stats
def add_local_summary_statistics(run_set_result, run_set_stats):
"""
Fill in the "local" values of ColumnStatistics instances in result of
get_stats_of_run_set
"""
for column, column_stats in zip(run_set_result.columns, run_set_stats):
if (column.is_numeric() and column.title in run_set_result.summary
and run_set_result.summary[column.title] != ""):
try:
column_stats.local = StatValue(
util.to_decimal(run_set_result.summary[column.title]))
except InvalidOperation:
pass
