Given a list of numbers, return a new list consists of the number which is larger than the sum of the remaining numbers in a list or larger than absolute zero. For example, this list [2, 5, 2, 1] will convert to [5, 2, 1] because 5 is greater than 2+1, 2 is greater than 1 and 1 is greater than absolute zero. Another example. [2, 3, -3] will convert to [2, 3] because 2 is greater than 3+(-3) and 3 is greater than -3 but -3 is lesser than 0 which means -3 will not get included into the new list.
def array_leaders(numbers):
arr = [] # the new list to store the leading numbers
while(len(numbers)>0):
leader = numbers.pop(0)
# return the array if there is nothing to sum up
if(len(numbers) == 0 and leader > 0):
arr.append(leader)
return arr
elif(len(numbers) == 0):
return arr
sum = 0
for elem in numbers:
sum+=elem #add up all other numbers
if leader > sum:
arr.append(leader) # if the leading number is larger than the total then append that number to the number leader list
If you have a better solution then please provide your answer in the comment box below.
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def array_leaders(numbers):
if len(numbers) == 0:
return []
else:
if numbers[0] > sum(numbers[1:]):
return [numbers[0]] + array_leaders(numbers[1:])
else:
return array_leaders(numbers[1:])
a = [2,5,2,1]
[x for i,x in enumerate(a) if x > sum(a[i+1:])]
>>> [5,2,1]
Here’s a way with cumulative summation in one step, then using that as a filter in another step. Not sure how it measures up in efficiency, and readability is usually subjective.
from itertools import accumulate
from operator import add
def more_than_rest(numbers):
backward_sums = accumulate(reversed(numbers[1:] + [0]), add)
sums = reversed(list(backward_sums))
return [x for x, s in zip(numbers, sums) if x > s]