J
Size: a a a
J
AT
houses=[0, 5, 6, 2, 0, 4, 3]
count = 22222222
for index, value in enumerate(houses):
if value == 0:
houses[index] = 0
count = 0
elif value != 0:
count += 1
houses[index] = count
houses.reverse()
for index, value in enumerate(houses):
if value == 0:
count = 0
elif value != 0:
count += 1
houses[index] = min(count, value)
houses.reverse()
print(*houses)res = []
for i, x in enumerate(houses):
if x == 0:
res.append(0)
else:
count = len(houses)
left = houses.index(0, i) if 0 in houses[i:] else None
right = count - 1 - list(reversed(houses)).index(0, count - i) if 0 in houses[:i] else None
res.append(min(abs(i - iz) for iz in filter(lambda x: x is not None, [left, right])))
print(*res)
AT
B
pl
k
B
a
a
K
БГ
ᅠ
from ..models.house import Property
from .. import config
ᅠ
from ..models.house import Property
from .. import config
from app.models.house import Prop
from app import config
БГ
БГ
БГ
A
AT
A
pyplot.scatter(X, y)
pyplot.plot(X, linear_regression.predict(X))
AT