Renewal price with lock and increase cap: lock expiry day · case 01

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    if x['locked'] is not None and x['renewal_day'] < x['lock_until']:
        target = min(x['list_price'], x['locked'])
    else:
        target = x['list_price']
    ceiling = x['last_paid'] * (100 + x['cap_pct']) // 100
    return min(target, ceiling)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'last_paid': 6548, 'list_price': 6483, 'locked': 6448, 'lock_until': 196, 'renewal_day': 196, 'cap_pct': 5}, 6448), ('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('partial-repair probe', {'last_paid': 2000, 'list_price': 3442, 'locked': 2000, 'lock_until': 83, 'renewal_day': 84, 'cap_pct': 5}, 2100), ('partial-repair probe', {'last_paid': 2000, 'list_price': 4561, 'locked': 1900, 'lock_until': 96, 'renewal_day': 97, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 328, 'renewal_day': 201, 'cap_pct': 20}, 1000), ('normal control', {'last_paid': 2000, 'list_price': 3312, 'locked': 2500, 'lock_until': 173, 'renewal_day': 173, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': None, 'lock_until': 83, 'renewal_day': 100, 'cap_pct': 20}, 4900), ('normal control', {'last_paid': 222, 'list_price': 222, 'locked': 222, 'lock_until': 231, 'renewal_day': 231, 'cap_pct': 5}, 222)], [('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('partial-repair probe', {'last_paid': 4984, 'list_price': 7349, 'locked': 4984, 'lock_until': 94, 'renewal_day': 95, 'cap_pct': 20}, 5980), ('partial-repair probe', {'last_paid': 7649, 'list_price': 7649, 'locked': 7549, 'lock_until': 183, 'renewal_day': 184, 'cap_pct': 10}, 7649), ('normal control', {'last_paid': 4217, 'list_price': 4172, 'locked': 4217, 'lock_until': 1, 'renewal_day': 2, 'cap_pct': 0}, 4172), ('normal control', {'last_paid': 4900, 'list_price': 4441, 'locked': 4900, 'lock_until': 309, 'renewal_day': 310, 'cap_pct': 0}, 4441), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2000, 'lock_until': 91, 'renewal_day': 92, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': 4900, 'lock_until': 26, 'renewal_day': 27, 'cap_pct': 5}, 4900)], [('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('partial-repair probe', {'last_paid': 2000, 'list_price': 2000, 'locked': 1900, 'lock_until': 374, 'renewal_day': 375, 'cap_pct': 0}, 2000), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5949, 'locked': 4900, 'lock_until': 379, 'renewal_day': 380, 'cap_pct': 10}, 5390), ('normal control', {'last_paid': 4900, 'list_price': 7407, 'locked': None, 'lock_until': 112, 'renewal_day': 113, 'cap_pct': 5}, 5145), ('normal control', {'last_paid': 485, 'list_price': 654, 'locked': None, 'lock_until': 58, 'renewal_day': 58, 'cap_pct': 20}, 582), ('normal control', {'last_paid': 1219, 'list_price': 1057, 'locked': 1119, 'lock_until': 293, 'renewal_day': 294, 'cap_pct': 10}, 1057), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1000, 'lock_until': 85, 'renewal_day': 85, 'cap_pct': 20}, 1000)], [('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('partial-repair probe', {'last_paid': 7896, 'list_price': 8057, 'locked': 7896, 'lock_until': 71, 'renewal_day': 72, 'cap_pct': 20}, 8057), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5888, 'locked': 5400, 'lock_until': 13, 'renewal_day': 14, 'cap_pct': 20}, 5880), ('normal control', {'last_paid': 2000, 'list_price': 3222, 'locked': 2500, 'lock_until': 57, 'renewal_day': 260, 'cap_pct': 0}, 2000), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 110, 'renewal_day': 262, 'cap_pct': 10}, 1000), ('normal control', {'last_paid': 7522, 'list_price': 7059, 'locked': 8022, 'lock_until': 19, 'renewal_day': 388, 'cap_pct': 20}, 7059), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 285, 'renewal_day': 285, 'cap_pct': 20}, 2000)], [('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('regression', {'last_paid': 3101, 'list_price': 3101, 'locked': 3001, 'lock_until': 113, 'renewal_day': 113, 'cap_pct': 10}, 3001), ('partial-repair probe', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 109, 'renewal_day': 110, 'cap_pct': 5}, 1000), ('partial-repair probe', {'last_paid': 8551, 'list_price': 8551, 'locked': 8451, 'lock_until': 130, 'renewal_day': 131, 'cap_pct': 0}, 8551), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 173, 'renewal_day': 263, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4105, 'list_price': 4394, 'locked': 4005, 'lock_until': 133, 'renewal_day': 322, 'cap_pct': 20}, 4394), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2500, 'lock_until': 167, 'renewal_day': 167, 'cap_pct': 10}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 5180, 'locked': 4900, 'lock_until': 0, 'renewal_day': 66, 'cap_pct': 20}, 5180)]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

SHA-256 / 3024e28af4edf0ce484f5793799c65ba7bbf1522c792273043f1bbbf4c3e5eb3

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    if x['locked'] is not None and x['renewal_day'] <= x['lock_until'] + 1:
        target = min(x['list_price'], x['locked'])
    else:
        target = x['list_price']
    ceiling = x['last_paid'] * (100 + x['cap_pct']) // 100
    return min(target, ceiling)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'last_paid': 6548, 'list_price': 6483, 'locked': 6448, 'lock_until': 196, 'renewal_day': 196, 'cap_pct': 5}, 6448), ('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('partial-repair probe', {'last_paid': 2000, 'list_price': 3442, 'locked': 2000, 'lock_until': 83, 'renewal_day': 84, 'cap_pct': 5}, 2100), ('partial-repair probe', {'last_paid': 2000, 'list_price': 4561, 'locked': 1900, 'lock_until': 96, 'renewal_day': 97, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 328, 'renewal_day': 201, 'cap_pct': 20}, 1000), ('normal control', {'last_paid': 2000, 'list_price': 3312, 'locked': 2500, 'lock_until': 173, 'renewal_day': 173, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': None, 'lock_until': 83, 'renewal_day': 100, 'cap_pct': 20}, 4900), ('normal control', {'last_paid': 222, 'list_price': 222, 'locked': 222, 'lock_until': 231, 'renewal_day': 231, 'cap_pct': 5}, 222)], [('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('partial-repair probe', {'last_paid': 4984, 'list_price': 7349, 'locked': 4984, 'lock_until': 94, 'renewal_day': 95, 'cap_pct': 20}, 5980), ('partial-repair probe', {'last_paid': 7649, 'list_price': 7649, 'locked': 7549, 'lock_until': 183, 'renewal_day': 184, 'cap_pct': 10}, 7649), ('normal control', {'last_paid': 4217, 'list_price': 4172, 'locked': 4217, 'lock_until': 1, 'renewal_day': 2, 'cap_pct': 0}, 4172), ('normal control', {'last_paid': 4900, 'list_price': 4441, 'locked': 4900, 'lock_until': 309, 'renewal_day': 310, 'cap_pct': 0}, 4441), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2000, 'lock_until': 91, 'renewal_day': 92, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': 4900, 'lock_until': 26, 'renewal_day': 27, 'cap_pct': 5}, 4900)], [('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('partial-repair probe', {'last_paid': 2000, 'list_price': 2000, 'locked': 1900, 'lock_until': 374, 'renewal_day': 375, 'cap_pct': 0}, 2000), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5949, 'locked': 4900, 'lock_until': 379, 'renewal_day': 380, 'cap_pct': 10}, 5390), ('normal control', {'last_paid': 4900, 'list_price': 7407, 'locked': None, 'lock_until': 112, 'renewal_day': 113, 'cap_pct': 5}, 5145), ('normal control', {'last_paid': 485, 'list_price': 654, 'locked': None, 'lock_until': 58, 'renewal_day': 58, 'cap_pct': 20}, 582), ('normal control', {'last_paid': 1219, 'list_price': 1057, 'locked': 1119, 'lock_until': 293, 'renewal_day': 294, 'cap_pct': 10}, 1057), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1000, 'lock_until': 85, 'renewal_day': 85, 'cap_pct': 20}, 1000)], [('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('partial-repair probe', {'last_paid': 7896, 'list_price': 8057, 'locked': 7896, 'lock_until': 71, 'renewal_day': 72, 'cap_pct': 20}, 8057), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5888, 'locked': 5400, 'lock_until': 13, 'renewal_day': 14, 'cap_pct': 20}, 5880), ('normal control', {'last_paid': 2000, 'list_price': 3222, 'locked': 2500, 'lock_until': 57, 'renewal_day': 260, 'cap_pct': 0}, 2000), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 110, 'renewal_day': 262, 'cap_pct': 10}, 1000), ('normal control', {'last_paid': 7522, 'list_price': 7059, 'locked': 8022, 'lock_until': 19, 'renewal_day': 388, 'cap_pct': 20}, 7059), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 285, 'renewal_day': 285, 'cap_pct': 20}, 2000)], [('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('regression', {'last_paid': 3101, 'list_price': 3101, 'locked': 3001, 'lock_until': 113, 'renewal_day': 113, 'cap_pct': 10}, 3001), ('partial-repair probe', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 109, 'renewal_day': 110, 'cap_pct': 5}, 1000), ('partial-repair probe', {'last_paid': 8551, 'list_price': 8551, 'locked': 8451, 'lock_until': 130, 'renewal_day': 131, 'cap_pct': 0}, 8551), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 173, 'renewal_day': 263, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4105, 'list_price': 4394, 'locked': 4005, 'lock_until': 133, 'renewal_day': 322, 'cap_pct': 20}, 4394), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2500, 'lock_until': 167, 'renewal_day': 167, 'cap_pct': 10}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 5180, 'locked': 4900, 'lock_until': 0, 'renewal_day': 66, 'cap_pct': 20}, 5180)]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

SHA-256 / c95dd8cde9780f60e915d3b5ab3a234039bd32108acc39f2d1e2e3791f4a92c2

"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    if x['locked'] is not None and x['renewal_day'] <= x['lock_until']:
        target = min(x['list_price'], x['locked'])
    else:
        target = x['list_price']
    ceiling = x['last_paid'] * (100 + x['cap_pct']) // 100
    return min(target, ceiling)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'last_paid': 6548, 'list_price': 6483, 'locked': 6448, 'lock_until': 196, 'renewal_day': 196, 'cap_pct': 5}, 6448), ('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('partial-repair probe', {'last_paid': 2000, 'list_price': 3442, 'locked': 2000, 'lock_until': 83, 'renewal_day': 84, 'cap_pct': 5}, 2100), ('partial-repair probe', {'last_paid': 2000, 'list_price': 4561, 'locked': 1900, 'lock_until': 96, 'renewal_day': 97, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 328, 'renewal_day': 201, 'cap_pct': 20}, 1000), ('normal control', {'last_paid': 2000, 'list_price': 3312, 'locked': 2500, 'lock_until': 173, 'renewal_day': 173, 'cap_pct': 20}, 2400), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': None, 'lock_until': 83, 'renewal_day': 100, 'cap_pct': 20}, 4900), ('normal control', {'last_paid': 222, 'list_price': 222, 'locked': 222, 'lock_until': 231, 'renewal_day': 231, 'cap_pct': 5}, 222)], [('regression', {'last_paid': 2000, 'list_price': 3042, 'locked': 1900, 'lock_until': 55, 'renewal_day': 55, 'cap_pct': 5}, 1900), ('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('partial-repair probe', {'last_paid': 4984, 'list_price': 7349, 'locked': 4984, 'lock_until': 94, 'renewal_day': 95, 'cap_pct': 20}, 5980), ('partial-repair probe', {'last_paid': 7649, 'list_price': 7649, 'locked': 7549, 'lock_until': 183, 'renewal_day': 184, 'cap_pct': 10}, 7649), ('normal control', {'last_paid': 4217, 'list_price': 4172, 'locked': 4217, 'lock_until': 1, 'renewal_day': 2, 'cap_pct': 0}, 4172), ('normal control', {'last_paid': 4900, 'list_price': 4441, 'locked': 4900, 'lock_until': 309, 'renewal_day': 310, 'cap_pct': 0}, 4441), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2000, 'lock_until': 91, 'renewal_day': 92, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 4900, 'locked': 4900, 'lock_until': 26, 'renewal_day': 27, 'cap_pct': 5}, 4900)], [('regression', {'last_paid': 5437, 'list_price': 5507, 'locked': 5337, 'lock_until': 225, 'renewal_day': 225, 'cap_pct': 5}, 5337), ('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('partial-repair probe', {'last_paid': 2000, 'list_price': 2000, 'locked': 1900, 'lock_until': 374, 'renewal_day': 375, 'cap_pct': 0}, 2000), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5949, 'locked': 4900, 'lock_until': 379, 'renewal_day': 380, 'cap_pct': 10}, 5390), ('normal control', {'last_paid': 4900, 'list_price': 7407, 'locked': None, 'lock_until': 112, 'renewal_day': 113, 'cap_pct': 5}, 5145), ('normal control', {'last_paid': 485, 'list_price': 654, 'locked': None, 'lock_until': 58, 'renewal_day': 58, 'cap_pct': 20}, 582), ('normal control', {'last_paid': 1219, 'list_price': 1057, 'locked': 1119, 'lock_until': 293, 'renewal_day': 294, 'cap_pct': 10}, 1057), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1000, 'lock_until': 85, 'renewal_day': 85, 'cap_pct': 20}, 1000)], [('regression', {'last_paid': 2000, 'list_price': 3888, 'locked': 2000, 'lock_until': 333, 'renewal_day': 333, 'cap_pct': 10}, 2000), ('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('partial-repair probe', {'last_paid': 7896, 'list_price': 8057, 'locked': 7896, 'lock_until': 71, 'renewal_day': 72, 'cap_pct': 20}, 8057), ('partial-repair probe', {'last_paid': 4900, 'list_price': 5888, 'locked': 5400, 'lock_until': 13, 'renewal_day': 14, 'cap_pct': 20}, 5880), ('normal control', {'last_paid': 2000, 'list_price': 3222, 'locked': 2500, 'lock_until': 57, 'renewal_day': 260, 'cap_pct': 0}, 2000), ('normal control', {'last_paid': 1000, 'list_price': 1000, 'locked': 1500, 'lock_until': 110, 'renewal_day': 262, 'cap_pct': 10}, 1000), ('normal control', {'last_paid': 7522, 'list_price': 7059, 'locked': 8022, 'lock_until': 19, 'renewal_day': 388, 'cap_pct': 20}, 7059), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 285, 'renewal_day': 285, 'cap_pct': 20}, 2000)], [('regression', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 392, 'renewal_day': 392, 'cap_pct': 5}, 900), ('regression', {'last_paid': 3101, 'list_price': 3101, 'locked': 3001, 'lock_until': 113, 'renewal_day': 113, 'cap_pct': 10}, 3001), ('partial-repair probe', {'last_paid': 1000, 'list_price': 1000, 'locked': 900, 'lock_until': 109, 'renewal_day': 110, 'cap_pct': 5}, 1000), ('partial-repair probe', {'last_paid': 8551, 'list_price': 8551, 'locked': 8451, 'lock_until': 130, 'renewal_day': 131, 'cap_pct': 0}, 8551), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': None, 'lock_until': 173, 'renewal_day': 263, 'cap_pct': 5}, 2000), ('normal control', {'last_paid': 4105, 'list_price': 4394, 'locked': 4005, 'lock_until': 133, 'renewal_day': 322, 'cap_pct': 20}, 4394), ('normal control', {'last_paid': 2000, 'list_price': 2000, 'locked': 2500, 'lock_until': 167, 'renewal_day': 167, 'cap_pct': 10}, 2000), ('normal control', {'last_paid': 4900, 'list_price': 5180, 'locked': 4900, 'lock_until': 0, 'renewal_day': 66, 'cap_pct': 20}, 5180)]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (label, i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)

SHA-256 / b51db86e6a04d4d81a1a9f1cfce0f9c68fd5f3c308f9b4884a32186a1f14b4d5