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container-with-most-water.py
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# 11. Container With Most Water
# 🟠 Medium
#
# https://leetcode.com/problems/container-with-most-water/
#
# Tags: Array - Two Pointers - Greedy
import timeit
from typing import List
# Use a two pointer approach, start at both ends and shrink the window
# from the smaller height, keeping track of the biggest container seen.
#
# Time complexity: O(n) - We visit each height once.
# Space complexity: O(1) - Constant space.
#
# Runtime: 1098 ms, faster than 56.31%
# Memory Usage: 27.5 MB, less than 12.16%
class Solution:
def maxArea(self, height: List[int]) -> int:
# No base case 2 <= len(height)
# Keep track of the biggest container seen.
greatest = 0
# Initialize two pointers.
l, r = 0, len(height) - 1
# Keep iterating while we have window left between the pointers.
while l < r:
# Compare the current area with the max found.
greatest = max(greatest, (r - l) * min(height[l], height[r]))
# Shrink from the smaller height in.
if height[l] < height[r]:
l += 1
else:
r -= 1
# Return the max area found.
return greatest
def test():
executors = [Solution]
tests = [
[[1, 1], 1],
[[1, 8, 6, 2, 5, 4, 8, 3, 7], 49],
[[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 12],
[[1, 3, 1, 1, 1, 1, 8, 1, 1, 1, 1, 1, 1], 15],
[[1, 1, 1, 1, 1, 1, 2, 1, 1, 8, 1, 8, 1], 16],
]
for executor in executors:
start = timeit.default_timer()
for _ in range(1):
for col, t in enumerate(tests):
sol = executor()
result = sol.maxArea(t[0])
exp = t[1]
assert result == exp, (
f"\033[93m» {result} <> {exp}\033[91m for"
+ f" test {col} using \033[1m{executor.__name__}"
)
stop = timeit.default_timer()
used = str(round(stop - start, 5))
cols = "{0:20}{1:10}{2:10}"
res = cols.format(executor.__name__, used, "seconds")
print(f"\033[92m» {res}\033[0m")
test()