def timedelta(self, start, end, start_key=min, end_key=max):
"""compute the difference between two sets of timestamps
The default behavior is to use the earliest of the first
and the latest of the second list, but this can be changed
by passing a different
Parameters
----------
start : one or more datetime objects (e.g. ar.submitted)
end : one or more datetime objects (e.g. ar.received)
start_key : callable
Function to call on `start` to extract the relevant
entry [default: min]
end_key : callable
Function to call on `end` to extract the relevant
entry [default: max]
Returns
-------
dt : float
The time elapsed (in seconds) between the two selected timestamps.
"""
if not isinstance(start, datetime):
# handle single_result AsyncResults, where ar.stamp is single object,
# not a list
start = start_key(start)
if not isinstance(end, datetime):
# handle single_result AsyncResults, where ar.stamp is single object,
# not a list
end = end_key(end)
return compare_datetimes(end, start).total_seconds()
def timedelta(self, start, end, start_key=min, end_key=max):
"""compute the difference between two sets of timestamps
The default behavior is to use the earliest of the first
and the latest of the second list, but this can be changed
by passing a different
Parameters
----------
start : one or more datetime objects (e.g. ar.submitted)
end : one or more datetime objects (e.g. ar.received)
start_key : callable
Function to call on `start` to extract the relevant
entry [default: min]
end_key : callable
Function to call on `end` to extract the relevant
entry [default: max]
Returns
-------
dt : float
The time elapsed (in seconds) between the two selected timestamps.
"""
if not isinstance(start, datetime):
# handle single_result AsyncResults, where ar.stamp is single object,
# not a list
start = start_key(start)
if not isinstance(end, datetime):
# handle single_result AsyncResults, where ar.stamp is single object,
# not a list
end = end_key(end)
return compare_datetimes(end, start).total_seconds()
def serial_time(self):
"""serial computation time of a parallel calculation
Computed as the sum of (completed-started) of each task
"""
t = 0
for md in self._metadata:
t += compare_datetimes(md['completed'], md['started']).total_seconds()
return t
def serial_time(self):
"""serial computation time of a parallel calculation
Computed as the sum of (completed-started) of each task
"""
t = 0
for md in self._metadata:
t += compare_datetimes(md['completed'], md['started']).total_seconds()
return t
def elapsed(self):
"""elapsed time since initial submission"""
if self.ready():
return self.wall_time
now = submitted = utcnow()
for msg_id in self.msg_ids:
if msg_id in self._client.metadata:
stamp = self._client.metadata[msg_id]['submitted']
if stamp and stamp < submitted:
submitted = stamp
return compare_datetimes(now, submitted).total_seconds()
def elapsed(self):
"""elapsed time since initial submission"""
if self.ready():
return self.wall_time
now = submitted = utcnow()
for msg_id in self.msg_ids:
if msg_id in self._client.metadata:
stamp = self._client.metadata[msg_id]['submitted']
if stamp and stamp < submitted:
submitted = stamp
return compare_datetimes(now, submitted).total_seconds()
def elapsed(self):
"""elapsed time since initial submission"""
if self.ready():
return self.wall_time
now = submitted = utcnow()
self._parse_metadata_dates()
for md in self._metadata:
stamp = md["submitted"]
if stamp and stamp < submitted:
submitted = stamp
return compare_datetimes(now, submitted).total_seconds()
