Let us consider this example (array written in general format):
ls = [0, 1, 3, 6, 10]
Its following parts:
ls = [0, 1, 3, 6, 10]
ls = [1, 3, 6, 10]
ls = [3, 6, 10]
ls = [6, 10]
ls = [10]
ls = []
The corresponding sums are (put together in a list): [20, 20, 19, 16, 10, 0]
The function parts_sums (or its variants in other languages) will take as parameter a list ls and return a list of the sums of its parts as defined above.
I have tried like this but is not executed in given Execution Time.How can I speed up this code:
def parts_sums(ls):
sums=[]
if len(ls)==0:
return[0]
else:
while len(ls)!=0:
sums.append(sum(ls))
ls.pop(0)
sums.append(0)
return sums
Here's an iterative, O(n) solution.
def parts_sums(ls):
sums = [0] * (len(ls) + 1)
for i, e in enumerate(reversed(ls)):
sums[len(ls) - i - 1] += sums[len(ls) - i] + e
return sums
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