def _fuzz_interval(self, interval):
'''Returns a fuzzed interval.'''
# Conservatively favors shorter intervals.
fuzz = interval * random.triangular(
-INTERVAL_FUZZ_MAX, INTERVAL_FUZZ_MAX, (-INTERVAL_FUZZ_MAX) / 4.5)
# Fuzz less for early reviews.
if self._is_early_review():
#TODO-OLD refactor / DRY all these early review calculations
if self.last_reviewed_at:
last_effective_interval = timedelta_to_float(
self.due_at - self.last_reviewed_at)
if (is_early_review_due_to_sibling
and last_reviewed_sibling.last_reviewed_at >
self.last_reviewed_at):
last_effectively_reviewed_at = \
last_reviewed_sibling.last_reviewed_at
else:
last_effectively_reviewed_at = self.last_reviewed_at
percentage_waited = (
timedelta_to_float(reviewed_at -
last_effectively_reviewed_at) /
last_effective_interval)
# New card.
else:
percentage_waited = percentage_waited_for_sibling
#print 'fuzz was to be: ' + str(fuzz)
fuzz *= self._adjustment_curve(percentage_waited)
#print 'adjusted fuzz: ' + str(fuzz)
next_interval += timedelta(days=fuzz)
def _fuzz_interval(self, interval):
'''Returns a fuzzed interval.'''
# Conservatively favors shorter intervals.
fuzz = interval * random.triangular(
-INTERVAL_FUZZ_MAX,
INTERVAL_FUZZ_MAX,
(-INTERVAL_FUZZ_MAX) / 4.5)
# Fuzz less for early reviews.
if self._is_early_review():
#TODO-OLD refactor / DRY all these early review calculations
if self.last_reviewed_at:
last_effective_interval = timedelta_to_float(
self.due_at - self.last_reviewed_at)
if (is_early_review_due_to_sibling
and last_reviewed_sibling.last_reviewed_at
> self.last_reviewed_at):
last_effectively_reviewed_at = \
last_reviewed_sibling.last_reviewed_at
else:
last_effectively_reviewed_at = self.last_reviewed_at
percentage_waited = (
timedelta_to_float(
reviewed_at
- last_effectively_reviewed_at)
/ last_effective_interval)
# New card.
else:
percentage_waited = percentage_waited_for_sibling
#print 'fuzz was to be: ' + str(fuzz)
fuzz *= self._adjustment_curve(percentage_waited)
#print 'adjusted fuzz: ' + str(fuzz)
next_interval += timedelta(days=fuzz)
def _percent_waited(self):
'''
Returns the percent of the last repetition the user waited before
reviewing.
So if the next due date was in 5 days, and the user waited just
3 days before reviewing again, this would return .6.
Assumes the last review was successful. This method may be
overriden for new and failed cards.
Could be considered early (< 1.0) for 2 reasons:
1. Reviewed before its due date.
2. Sibling card was reviewed too recently, regardless of
due dates.
Determining "too recently" for #2 relies on the amount decided on
for simultaneously due cards to be delayed for being siblings.
See the card's `calculated_interval` docstring for info on the
denominator here.
'''
from cards import Card
denominator = self.card.calculated_interval()
# Was this reviewed too soon after a sibling? How early?
# If not too early, still factor the delay into our return value.
try:
sibling = self.card.siblings.latest('last_reviewed_at')
if sibling.last_reviewed_at:
difference = (self.card.due_at
- sibling.last_reviewed_at)
if abs(difference) <= self.card.sibling_spacing():
denominator += self.card.sibling_spacing()
except Card.DoesNotExist:
pass
return (timedelta_to_float(self._time_waited())
/ timedelta_to_float(denominator))
def _percent_waited(self):
'''
Returns the percent of the last repetition the user waited before
reviewing.
So if the next due date was in 5 days, and the user waited just
3 days before reviewing again, this would return .6.
Assumes the last review was successful. This method may be
overriden for new and failed cards.
Could be considered early (< 1.0) for 2 reasons:
1. Reviewed before its due date.
2. Sibling card was reviewed too recently, regardless of
due dates.
Determining "too recently" for #2 relies on the amount decided on
for simultaneously due cards to be delayed for being siblings.
See the card's `calculated_interval` docstring for info on the
denominator here.
'''
from cards import Card
denominator = self.card.calculated_interval()
# Was this reviewed too soon after a sibling? How early?
# If not too early, still factor the delay into our return value.
try:
sibling = self.card.siblings.latest('last_reviewed_at')
if sibling.last_reviewed_at:
difference = (self.card.due_at - sibling.last_reviewed_at)
if abs(difference) <= self.card.sibling_spacing():
denominator += self.card.sibling_spacing()
except Card.DoesNotExist:
pass
return (timedelta_to_float(self._time_waited()) /
timedelta_to_float(denominator))
