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add monotonic queue algorithm #10531
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Original file line number | Diff line number | Diff line change |
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from __future__ import annotations | ||
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from double_ended_queue import Deque | ||
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arr = [1, 3, -1, -3, 5, 3, 6, 7] | ||
k = 3 | ||
expect = [3, 3, 5, 5, 6, 7] | ||
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def max_sliding_window(arr: list[float], k: int) -> list[float]: | ||
""" | ||
Given an array of integers nums, there is a sliding window of size k which is moving | ||
from the very left of the array to the very right. | ||
Each time the sliding window of length k moves right by one position. | ||
Return the max sliding window. | ||
>>> max_sliding_window(arr, k) == expect | ||
True | ||
""" | ||
max_val = [] | ||
queue = Deque() | ||
for i in range(len(arr)): | ||
# pop the element if the index is outside the window size k | ||
if queue and i - queue._front.val >= k: | ||
queue.popleft() | ||
# keep the queue monotonically decreasing | ||
# so that the max value is always on the top | ||
while queue and arr[i] >= arr[queue._back.val]: | ||
queue.pop() | ||
queue.append(i) | ||
# the maximum value is the first element in queue | ||
if i >= k - 1: | ||
max_val.append(arr[queue._front.val]) | ||
return max_val | ||
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if __name__ == "__main__": | ||
from doctest import testmod | ||
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testmod() |
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Please provide descriptive name for the parameter:
k
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I changed it to window_size