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tie_ropes.py
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"""
There are N ropes numbered from 0 to N − 1,
whose lengths are given in a zero-indexed array A,
lying on the floor in a line. For each I (0 ≤ I < N),
the length of rope I on the line is A[I].
We say that two ropes I and I + 1 are adjacent.
Two adjacent ropes can be tied together with a knot,
and the length of the tied rope is the sum of lengths of both ropes.
The resulting new rope can then be tied again.
For a given integer K, the goal is to tie the ropes in such a way that
the number of ropes whose length is greater than or equal to K is maximal.
For example, consider K = 4 and array A such that:
A[0] = 1
A[1] = 2
A[2] = 3
A[3] = 4
A[4] = 1
A[5] = 1
A[6] = 3
The ropes are shown in the figure below.
We can tie:
rope 1 with rope 2 to produce a rope of length A[1] + A[2] = 5;
rope 4 with rope 5 with rope 6 to produce a rope of length A[4] + A[5] + A[6] = 5.
After that, there will be three ropes whose lengths are greater than or equal to K = 4.
It is not possible to produce four such ropes.
Write a function:
def solution(K, A)
that, given an integer K and a non-empty zero-indexed array A of N integers,
returns the maximum number of ropes of length greater than or equal to K
that can be created.
For example, given K = 4 and array A such that:
A[0] = 1
A[1] = 2
A[2] = 3
A[3] = 4
A[4] = 1
A[5] = 1
A[6] = 3
the function should return 3, as explained above.
Assume that:
N is an integer within the range [1..100,000];
K is an integer within the range [1..1,000,000,000];
each element of array A is an integer within the range [1..1,000,000,000].
Complexity:
expected worst-case time complexity is O(N);
expected worst-case space complexity is O(N),
beyond input storage (not counting the storage required for input arguments).
Elements of input arrays can be modified.
"""
def solution(K, A):
rope_length = 0
count = 0
for num in A:
rope_length += num
if rope_length >= K:
count += 1
rope_length = 0
return count