class Solution:
def minSkips(self, dist: List[int], speed: int, hoursBefore: int) -> int:
kInf = 10**7
kEps = 1e-9
n = len(dist)
# dp[i][j] := min time w/ prev i-th road and j skips
dp = [[kInf] * (n + 1) for _ in range(n + 1)]
dp[0][0] = 0
for i, d in enumerate(dist, 1):
dp[i][0] = math.ceil(dp[i - 1][0] + d / speed - kEps)
for j in range(1, i + 1):
dp[i][j] = min(dp[i - 1][j - 1] + d / speed,
math.ceil(dp[i - 1][j] + d / speed - kEps))
for j, time in enumerate(dp[-1]):
if time <= hoursBefore:
return j
return -1