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We're Losing Strength, Captain!
Worms
SourceCreate a cumsum array with the number of worms present on each group and do a binary search for each juicy worm. You can also use something like bisect_left.
from itertools import accumulate
def bs(vals, x):
lo, mid, hi = 0, 0, len(vals) - 1
while( lo < hi ):
mid = (lo + hi) // 2
if(x == vals[mid]):
return mid
elif( x > vals[mid] ):
lo = mid + 1
else:
hi = mid
return lo
n = int(input())
worms = list(map(int, input().split()))
m = int(input())
juicy = list(map(int, input().split()))
sums = list(accumulate(worms))
ans = [str(bs(sums, worm) + 1) for worm in juicy]
print('\n'.join(ans))
Keyboard
SourceLook forward or behind depending on the given direction shift.
kb = 'qwertyuiopasdfghjkl;zxcvbnm,./'
direction = input()
shift = -1 if direction == 'R' else 1
message = input()
ans = [ kb[kb.index(c) + shift] for c in message]
print(''.join(ans))
Olesya and Rodion
SourceDepending on whether t == 10, you can easily create a number that satisfies the given conditions. Watch out for the special case, e.g., t == 10 && n == 1.
n,t = map(int, input().split())
if( n == 1 and t == 10 ):
print(-1)
else:
ans = '1' + '0' * (n - 1) if t == 10 else str(t) * n
print(ans)
Robot's task
SourceThe optimal strategy is to go all the way to each side taking all the possible information before turning.
n = int(input())
a = list(map(int, input().split()))
turn = -1
current = 0
while(current < n):
turn += 1
for i in range(n):
if(a[i] >= 0 and a[i] <= current):
a[i] = -1
current += 1
a.reverse()
print(turn)
Asphalting Roads
SourceUsing a couple of dictionaries, find out if the roads have been looked at before. If none of them have been visited, asphalt both of them.
n = int(input())
ans = []
doneH = set()
doneV = set()
for i in range(n**2):
m, n = map(int, input().split())
if(m not in doneH and n not in doneV):
ans.append(i + 1)
doneH.add(m)
doneV.add(n)
print(' '.join(str(x) for x in ans))
Developing Skills
SourceVery nice problem. The first thing to notice is that improving a particular skill will be of no use unless we increase it to the next multiple of 10, this means that the ones whose modulo 10 is bigger, are the ones we should improve first (more ROI). Another thing to notice is that we can get the rating before using improvement units and then add the rating obtained from using them to improve skills. So, we can solve the problem by sorting the skills on their mod10 and using the improvement units to get them to the next multiple of 10. If there are more units available, use them all and see if the rating is under the top limit (10 * n)
n, k = map(int, input().split())
a = list(map(int, input().split()))
left = [0] * 11
rating = 0
for i in a:
left[10 - i % 10] += 1
rating += i // 10
for (i,q) in enumerate(left[1:], start = 1):
possible = min(q, k // i) # How many units can I get?
rating += possible
k -= possible * i
print(min(rating + k // 10, 10 * n))
Luxurious Houses
SourceThe code speaks for itself.
n = int(input())
height = list(map(int, input().split()))
maxHeight = [0] * n # position i holds the tallest building in positions [i+1,n)
m = 0
for i in range(n-1,0,-1):
m = max(height[i], m)
maxHeight[i-1] = m
ans = [max(m - h + 1, 0) for (h,m) in zip(height, maxHeight)]
print(' '.join([str(x) for x in ans]))
Vasya the Hipster
SourceThe code speaks for itself.
red, blue = map(int, input().split())
mixed = min(red, blue)
red -= mixed
blue -= mixed
single = max(red, blue) // 2
print(mixed, single)
Amr and the Large Array
SourceAny array with the maximum beauty that does not start and end with the same number can be reduced. For each x, save the initial position and the end position as well as its beauty and, among all the generated triplets (start, end, beauty) take the shortest one that has the same beauty as the original array (which clearly would be the max).
import scala.io.StdIn.readLine
object AmrAndTheLargeArray{
case class Triplet( left : Int, right : Int, count : Int)
def main(args : Array[String]) : Unit = {
readLine()
val a = readLine().split("\\s+").map( _.toInt )
val map = scala.collection.mutable.HashMap[Int, Triplet]()
(a.zipWithIndex).foreach({
case (a,i) => map.get(a) match {
case None => map(a) = Triplet(i,i,1)
case Some(Triplet(l,r,k)) => map(a) = Triplet(l,i,k+1)
}
})
val ans = map.valuesIterator.reduceLeft( (thiz, that) => {
if(thiz.count != that.count)
if(thiz.count >= that.count) thiz else that
else if ((thiz.right - thiz.left) <= (that.right - that.left)) thiz else that
})
val l = ans.left + 1
val r = ans.right + 1
println(l + " " + r)
}
}
Conclusion
I've found myself spending too much time testing my solutions (copy-paste test cases, using an online REPL instead of a dedicated environment) and writing these posts, so it's time to write some scripts. See you next time.