def effect3(history: History) -> float:
value = history.get_event(2)
if not history.get_event(2, delay=1):
value *= 1.5
elif not history.get_event(2, delay=2):
value *= 3
elif not history.get_event(2, delay=3):
value *= 6
return value
def promo_delay(history: History) -> float:
value = 0
if history.get_event(4):
value = Uniform(40, 80).generate()
elif history.get_event(4, delay=1):
value = Uniform(30, 50).generate()
elif history.get_event(4, delay=2):
value = Uniform(0, 20).generate()
return value
def effect_function(history: History) -> float:
value = history.get_event()
if history.get_event(201, delay=200):
value *= 1.5
elif history.get_event(position=301, delay=300, null_value=None):
value *= 3
elif history.get_event(delay=500):
value *= 3
elif history.get_event(delay=600, position=601):
value *= 3
value = history.get_event(401) + 4
return value
def sales(history: History) -> float:
return history.get_event(1) * history.get_event(2)
def effect2(history: History) -> float:
week = history.get_datetime().isocalendar()[1]
ratio = week / 52
return history.get_event(1) * (1 + ratio / 20)
def effect1(history: History) -> float:
day = history.get_datetime().weekday()
# [Sun, Mon, Tue, Wed, Thu, Fri, Sat]
ratios = [20, 20, 15, 10, 0, -30, -50]
return history.get_event(1) * (1 + ratios[day] / 100)
def pathology(history: History) -> float:
gene1 = history.get_event(1) > 0.8
gene2 = history.get_event(2) > 0.7
gene5 = history.get_event(5) > 0.6
return gene1 and gene2 or gene5
def effect_function1(h: History) -> float:
return h.get_event()
def effect_function(history: History) -> float:
return history.get_event()