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def finalState(operations):
if not operations:
return 0
max_index = 0
for left, right in operations:
max_index = max(max_index, right)
states = [False] * (max_index + 1)
toggles = [0] * (max_index + 2)
for left, right in operations:
toggles[left] += 1
if right + 1 <= max_index:
toggles[right + 1] -= 1
toggle_count = 0
for i in range(max_index + 1):
toggle_count += toggles[i]
if toggle_count % 2 == 1:
states[i] = not states[i]
sum_indices = 0
for i in range(max_index + 1):
if states[i]:
sum_indices += i
return sum_indices
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def getLargestSubsequence(s):
n = len(s)
ans = []
for length in range(1, n + 1):
k = n - length
curr = []
for ch in s:
while curr and curr[-1] < ch and k > 0:
curr.pop()
k -= 1
curr.append(ch)
while curr and k > 0:
curr.pop()
k -= 1
ans.append(''.join(curr))
return ans
getLargestSubsequence // Oracle
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IBM
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def getMaxEfficiency(arrivalTime):IBM
arrivalTime.sort()
n = len(arrivalTime)
max_efficiency = float('-inf')
i = 0
for j in range(n):
tested_cases = j - i + 1
active_time = arrivalTime[j] - arrivalTime[i]
efficiency = tested_cases - active_time
max_efficiency = max(max_efficiency, efficiency)
while active_time >= tested_cases:
i += 1
active_time = arrivalTime[j] - arrivalTime[i]
tested_cases = j - i + 1
return max_efficiency
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🎉1🏆1🍾1
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def sum_pf(n):
s = 0
f = 2
if n % f == 0:
s += f
while n % f == 0:
n //= f
for f in range(3, int(n**0.5) + 1, 2):
if n % f == 0:
s += f
while n % f == 0:
n //= f
if n > 2:
s += n
return s
n = int(input())
print(sum_pf(n))
Sum of prime factors // HSBC
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