def wrapper(*args, **kwargs):
trigger_time = time.time()
try:
rv = func(*args, **kwargs)
except Return as e:
metric.labels(*labels).observe(time.time() - trigger_time)
raise e
return rv
def accumulate(iterable, func=operator.add):
"""
Iterate over running totals, ie [a,b,c,d] -> func( func( func(a, b), c), d) with each func result yielded.
Func is operator.add by default.
>>> list(accumulate([1,2,3,4,5]))
[1, 3, 6, 10, 15]
>>> list(accumulate([1,2,3,4,5], operator.mul))
[1, 2, 6, 24, 120]
:param iterable: Iterable
:param func: method (default=operator.add) to call for each pair of (last call result or first item, next item)
:return generator: Generator
"""
it = iter(iterable)
try:
total = next(it)
except StopIteration:
return
yield total
for element in it:
total = func(total, element)
yield total
def wrapper(*args, **kwargs):
trigger_time = time.time()
rv = func(*args, **kwargs)
metric.labels(*labels).observe(time.time() - trigger_time)
return rv
def wrapper(self, *args, **kwargs):
if self.executor_config.get("DEBUG", False):
logger.debug("Executor %s DEBUG set, not calling 'stop_builder()'", self.name)
return
return func(self, *args, **kwargs)
def _thread_safe_func(*args, **kwargs):
key = cachetools.keys.hashkey(*args, **kwargs)
with lock_dict[key]:
return func(*args, **kwargs)