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smallest-range.py
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smallest-range.py
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# Time: O(nlogk)
# Space: O(k)
# You have k lists of sorted integers in ascending order.
# Find the smallest range that includes at least one number from each of the k lists.
#
# We define the range [a,b] is smaller than range [c,d] if b-a < d-c or a < c if b-a == d-c.
#
# Example 1:
# Input:[[4,10,15,24,26], [0,9,12,20], [5,18,22,30]]
# Output: [20,24]
# Explanation:
# List 1: [4, 10, 15, 24,26], 24 is in range [20,24].
# List 2: [0, 9, 12, 20], 20 is in range [20,24].
# List 3: [5, 18, 22, 30], 22 is in range [20,24].
# Note:
# The given list may contain duplicates, so ascending order means >= here.
# 1 <= k <= 3500
# -10^5 <= value of elements <= 10^5.
# For Java users, please note that the input type has been changed to List<List<Integer>>.
# And after you reset the code template, you'll see this point.
class Solution(object):
def smallestRange(self, nums):
"""
:type nums: List[List[int]]
:rtype: List[int]
"""
left, right = float("inf"), float("-inf")
min_heap = []
for row in nums:
left = min(left, row[0])
right = max(right, row[0])
it = iter(row)
heapq.heappush(min_heap, (next(it, None), it))
result = (left, right)
while min_heap:
(val, it) = heapq.heappop(min_heap)
val = next(it, None)
if val is None:
break
heapq.heappush(min_heap, (val, it))
left, right = min_heap[0][0], max(right, val);
if right - left < result[1] - result[0]:
result = (left, right)
return result