def payment_prob(a, b):
"""
ppt[due_day] = [(delay, prob), ...]
due_day is day of week (0=monday), delay is in days after due date, prob is from 0 to 1.0
based on statistics for on time payments in my account
"""
if not usfedhol.contains_holiday(a, b):
ppt = {0: [(7, 0.99)],
1: [(6, 0.99)],
2: [(6, 0.99)],
3: [(6, 0.99)],
4: [(6, 0.99)],
5: [(5, 0.99)],
6: [(5, 0.99)]}
else:
ppt = {0: [(4, 0.8077), (7, 0.1827)],
1: [(6, 0.0120), (7, 0.9880)],
2: [(6, 0.0275), (7, 0.9725)],
3: [(6, 0.1638), (7, 0.8362)],
4: [(6, 0.2143), (7, 0.7857)],
5: [(6, 0.99)],
6: [(5, 0.99)]}
delta = (b - a).days
return sum(map(lambda x: x[1],
filter(lambda x: x[0] < delta, ppt[a.weekday()])))
def payment_prob(a, b):
"""
ppt[due_day] = [(delay, prob), ...]
due_day is day of week (0=monday), delay is in days after due date, prob is from 0 to 1.0
based on statistics for on time payments in my account
"""
if not usfedhol.contains_holiday(a, b):
ppt = {
0: [(7, 0.99)],
1: [(6, 0.99)],
2: [(6, 0.99)],
3: [(6, 0.99)],
4: [(6, 0.99)],
5: [(5, 0.99)],
6: [(5, 0.99)]
}
else:
ppt = {
0: [(4, 0.8077), (7, 0.1827)],
1: [(6, 0.0120), (7, 0.9880)],
2: [(6, 0.0275), (7, 0.9725)],
3: [(6, 0.1638), (7, 0.8362)],
4: [(6, 0.2143), (7, 0.7857)],
5: [(6, 0.99)],
6: [(5, 0.99)]
}
delta = (b - a).days
return sum(
map(lambda x: x[1], filter(lambda x: x[0] < delta, ppt[a.weekday()])))
def paytime_stats(self, stats):
for p in filter(PaymentHistoryItem.is_complete, self.payment_history):
if usfedhol.contains_holiday(p.due, p.complete):
stats[p.due.weekday()][(p.complete - p.due).days] += 1
def paytime_stats(self, stats):
for p in filter(PaymentHistoryItem.is_complete, self.payment_history):
if usfedhol.contains_holiday(p.due, p.complete):
stats[p.due.weekday()][(p.complete - p.due).days] += 1
