LeetCode-in-All

295. Find Median from Data Stream

Hard

The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value and the median is the mean of the two middle values.

• For example, for arr = [2,3,4], the median is 3.
• For example, for arr = [2,3], the median is (2 + 3) / 2 = 2.5.

Implement the MedianFinder class:

• MedianFinder() initializes the MedianFinder object.
• void addNum(int num) adds the integer num from the data stream to the data structure.
• double findMedian() returns the median of all elements so far. Answers within 10-5 of the actual answer will be accepted.

Example 1:

Input

["MedianFinder", "addNum", "addNum", "findMedian", "addNum", "findMedian"]
[[], [1], [2], [], [3], []]

Output: [null, null, null, 1.5, null, 2.0]

Explanation:

MedianFinder medianFinder = new MedianFinder();
medianFinder.addNum(1); // arr = [1]
medianFinder.addNum(2); // arr = [1, 2]
medianFinder.findMedian(); // return 1.5 (i.e., (1 + 2) / 2)
medianFinder.addNum(3); // arr[1, 2, 3]
medianFinder.findMedian(); // return 2.0 

Constraints:

• -105 <= num <= 105
• There will be at least one element in the data structure before calling findMedian.
• At most 5 * 104 calls will be made to addNum and findMedian.

Follow up:

• If all integer numbers from the stream are in the range [0, 100], how would you optimize your solution?
• If 99% of all integer numbers from the stream are in the range [0, 100], how would you optimize your solution?

Solution

class MedianFinder
  def initialize()
    @arr = []
  end

=begin
    :type num: Integer
    :rtype: Void
=end
  def add_num(num)
    placement = @arr.bsearch_index {|a| num < a}

    if placement.nil?
      @arr << num
    elsif placement == 0
      @arr.unshift(num)
    else
      @arr.insert(placement, num)
    end
  end

=begin
    :rtype: Float
=end
  def find_median()
    if @arr.size % 2 == 0
      mid = @arr.size / 2
      (@arr[mid] + @arr[mid - 1]).fdiv(2)
    else
      mid = @arr.size / 2
      @arr[mid]
    end
  end
end

# Your MedianFinder object will be instantiated and called as such:
# obj = MedianFinder.new()
# obj.add_num(num)
# param_2 = obj.find_median()

This site is open source. Improve this page.