代码拉取完成,页面将自动刷新
# Time: O(nlogn)
# Space: O(1)
import bisect
import itertools
class Solution(object):
def minArea(self, image, x, y):
"""
:type image: List[List[str]]
:type x: int
:type y: int
:rtype: int
"""
def binarySearch(left, right, find, image, has_one):
while left <= right: # O(logn) times
mid = left + (right - left) / 2
if find(image, has_one, mid): # Time: O(n)
right = mid - 1
else:
left = mid + 1
return left
searchColumns = lambda image, has_one, mid: any([int(row[mid]) for row in image]) == has_one
left = binarySearch(0, y - 1, searchColumns, image, True)
right = binarySearch(y + 1, len(image[0]) - 1, searchColumns, image, False)
searchRows = lambda image, has_one, mid: any(itertools.imap(int, image[mid])) == has_one
top = binarySearch(0, x - 1, searchRows, image, True)
bottom = binarySearch(x + 1, len(image) - 1, searchRows, image, False)
return (right - left) * (bottom - top)
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。