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maximum-count-of-positive-integer-and-negative-integer_2529.py
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maximum-count-of-positive-integer-and-negative-integer_2529.py
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# Given an array nums sorted in non-decreasing order,
# return the maximum between the number of positive integers and the number of negative integers.
# In other words, if the number of positive integers
# in nums is pos and the number of negative integers is neg, then return the maximum of pos and neg.
# Note that 0 is neither positive nor negative.
# Example 1:
# Input: nums = [-2,-1,-1,1,2,3]
# Output: 3
# Explanation: There are 3 positive integers and 3 negative integers. The maximum count among them is 3.
# Example 2:
# Input: nums = [-3,-2,-1,0,0,1,2]
# Output: 3
# Explanation: There are 2 positive integers and 3 negative integers. The maximum count among them is 3.
# Example 3:
# Input: nums = [5,20,66,1314]
# Output: 4
# Explanation: There are 4 positive integers and 0 negative integers. The maximum count among them is 4.
# ---------------------------------------Runtime 134 ms Beats 79.15% Memory 16.5 MB Beats 99.65%---------------------------------------
from typing import List
from bisect import bisect_left, bisect_right
# Solution #1 Best
# time Complexity O(log(n))
class Solution:
def maximumCount(self, nums: List[int]) -> int:
neg: int = bisect_left(nums, 0)
pos: int = len(nums) - bisect_right(nums, 0)
return max(neg, pos)
# ---------------------------------------Runtime 141 ms Beats 45.45% Memory 16.6 MB Beats 88.88%---------------------------------------
# Solution #2
# time Complexity O(log(n))
class Solution:
def maximumCount(self, nums: List[int]) -> int:
neg: int = 0
pos: int = 0
start, end = 0, len(nums) - 1
while start <= end and nums[start] < 0:
neg += 1
start += 1
while nums[end] > 0 and end >= start:
pos += 1
end -= 1
return max(pos, neg)