def get_and_update_past_failures(type_, task, items, push_num, is_regression):
if type_ not in past_failures:
past_failures[type_] = {}
if task not in past_failures[type_]:
past_failures[type_][task] = {}
values_total = []
values_prev_7 = []
values_prev_14 = []
values_prev_28 = []
values_prev_56 = []
for item in items:
if item not in past_failures[type_][task]:
past_failures[type_][task][item] = ExpQueue(
push_num, HISTORICAL_TIMESPAN + 1, 0
)
value = past_failures[type_][task][item][push_num]
values_total.append(value)
values_prev_7.append(
value - past_failures[type_][task][item][push_num - 7]
)
values_prev_14.append(
value - past_failures[type_][task][item][push_num - 14]
)
values_prev_28.append(
value - past_failures[type_][task][item][push_num - 28]
)
values_prev_56.append(
value - past_failures[type_][task][item][push_num - 56]
)
if is_regression:
past_failures[type_][task][item][push_num] = value + 1
return (
sum(values_total),
sum(values_prev_7),
sum(values_prev_14),
sum(values_prev_28),
sum(values_prev_56),
)
def _read_and_update_past_failures(
past_failures, type_, runnable, items, push_num, is_regression
):
values_total = []
values_prev_700 = []
values_prev_1400 = []
values_prev_2800 = []
key = f"{type_}${runnable}$"
for item in items:
full_key = key + item
is_new = full_key not in past_failures
if is_new:
if not is_regression:
continue
cur = ExpQueue(round(push_num / 100), int(HISTORICAL_TIMESPAN / 100) + 1, 0)
else:
cur = past_failures[full_key]
value = cur[round(push_num / 100)]
values_total.append(value)
values_prev_700.append(value - cur[round((push_num - 700) / 100)])
values_prev_1400.append(value - cur[round((push_num - 1400) / 100)])
values_prev_2800.append(value - cur[round((push_num - 2800) / 100)])
if is_regression:
cur[round(push_num / 100)] = value + 1
if is_new:
past_failures[full_key] = cur
return (
sum(values_total),
sum(values_prev_700),
sum(values_prev_1400),
sum(values_prev_2800),
)
def _read_and_update_past_failures(
past_failures, type_, task, items, push_num, is_regression
):
values_total = []
values_prev_7 = []
values_prev_14 = []
values_prev_28 = []
values_prev_56 = []
key = f"{type_}${task}$"
for item in items:
full_key = key + item
if full_key not in past_failures:
cur = past_failures[full_key] = ExpQueue(
push_num, HISTORICAL_TIMESPAN + 1, 0
)
else:
cur = past_failures[full_key]
value = cur[push_num]
values_total.append(value)
values_prev_7.append(value - cur[push_num - 7])
values_prev_14.append(value - cur[push_num - 14])
values_prev_28.append(value - cur[push_num - 28])
values_prev_56.append(value - cur[push_num - 56])
if is_regression:
cur[push_num] = value + 1
return (
sum(values_total),
sum(values_prev_7),
sum(values_prev_14),
sum(values_prev_28),
sum(values_prev_56),
)
