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LeetCode



An underground railway system is keeping track of customer travel times between different stations. They are using this data to calculate the average time it takes to travel from one station to another.

Implement the UndergroundSystem class:

void checkIn(int id, string stationName, int t) A customer with a card ID equal to id, checks in at the station stationName at time t.
A customer can only be checked into one place at a time. void checkOut(int id, string stationName, int t)
A customer with a card ID equal to id, checks out from the station stationName at time t. double getAverageTime(string startStation, string endStation)
Returns the average time it takes to travel from startStation to endStation. The average time is computed from all the previous traveling times from startStation to endStation that happened directly, meaning a check in at startStation followed by a check out from endStation.
The time it takes to travel from startStation to endStation may be different from the time it takes to travel from endStation to startStation. There will be at least one customer that has traveled from startStation to endStation before getAverageTime is called.

You may assume all calls to the checkIn and checkOut methods are consistent. If a customer checks in at time t<sub>1</sub> then checks out at time t<sub>2</sub>, then t<sub>1</sub> < t<sub>2</sub>. All events happen in chronological order.

Example 1:

Input
[“UndergroundSystem”,”checkIn”,”checkIn”,”checkIn”,”checkOut”,”checkOut”,”checkOut”,”getAverageTime”,”getAverageTime”,”checkIn”,”getAverageTime”,”checkOut”,”getAverageTime”]
[[],[45,”Leyton”,3],[32,”Paradise”,8],[27,”Leyton”,10],[45,”Waterloo”,15],[27,”Waterloo”,20],[32,”Cambridge”,22],[“Paradise”,”Cambridge”],[“Leyton”,”Waterloo”],[10,”Leyton”,24],[“Leyton”,”Waterloo”],[10,”Waterloo”,38],[“Leyton”,”Waterloo”]]

Output
[null,null,null,null,null,null,null,14.00000,11.00000,null,11.00000,null,12.00000]

Explanation
UndergroundSystem undergroundSystem = new UndergroundSystem();
undergroundSystem.checkIn(45, “Leyton”, 3);
undergroundSystem.checkIn(32, “Paradise”, 8);
undergroundSystem.checkIn(27, “Leyton”, 10);
undergroundSystem.checkOut(45, “Waterloo”, 15); // Customer 45 “Leyton” -> “Waterloo” in 15-3 = 12
undergroundSystem.checkOut(27, “Waterloo”, 20); // Customer 27 “Leyton” -> “Waterloo” in 20-10 = 10
undergroundSystem.checkOut(32, “Cambridge”, 22); // Customer 32 “Paradise” -> “Cambridge” in 22-8 = 14
undergroundSystem.getAverageTime(“Paradise”, “Cambridge”); // return 14.00000. One trip “Paradise” -> “Cambridge”, (14) / 1 = 14
undergroundSystem.getAverageTime(“Leyton”, “Waterloo”); // return 11.00000. Two trips “Leyton” -> “Waterloo”, (10 + 12) / 2 = 11
undergroundSystem.checkIn(10, “Leyton”, 24);
undergroundSystem.getAverageTime(“Leyton”, “Waterloo”); // return 11.00000
undergroundSystem.checkOut(10, “Waterloo”, 38); // Customer 10 “Leyton” -> “Waterloo” in 38-24 = 14
undergroundSystem.getAverageTime(“Leyton”, “Waterloo”); // return 12.00000. Three trips “Leyton” -> “Waterloo”, (10 + 12 + 14) / 3 = 12


Example 2:

Input
[“UndergroundSystem”,”checkIn”,”checkOut”,”getAverageTime”,”checkIn”,”checkOut”,”getAverageTime”,”checkIn”,”checkOut”,”getAverageTime”]
[[],[10,”Leyton”,3],[10,”Paradise”,8],[“Leyton”,”Paradise”],[5,”Leyton”,10],[5,”Paradise”,16],[“Leyton”,”Paradise”],[2,”Leyton”,21],[2,”Paradise”,30],[“Leyton”,”Paradise”]]

Output
[null,null,null,5.00000,null,null,5.50000,null,null,6.66667]

Explanation
UndergroundSystem undergroundSystem = new UndergroundSystem();
undergroundSystem.checkIn(10, “Leyton”, 3);
undergroundSystem.checkOut(10, “Paradise”, 8); // Customer 10 “Leyton” -> “Paradise” in 8-3 = 5
undergroundSystem.getAverageTime(“Leyton”, “Paradise”); // return 5.00000, (5) / 1 = 5
undergroundSystem.checkIn(5, “Leyton”, 10);
undergroundSystem.checkOut(5, “Paradise”, 16); // Customer 5 “Leyton” -> “Paradise” in 16-10 = 6
undergroundSystem.getAverageTime(“Leyton”, “Paradise”); // return 5.50000, (5 + 6) / 2 = 5.5
undergroundSystem.checkIn(2, “Leyton”, 21);
undergroundSystem.checkOut(2, “Paradise”, 30); // Customer 2 “Leyton” -> “Paradise” in 30-21 = 9
undergroundSystem.getAverageTime(“Leyton”, “Paradise”); // return 6.66667, (5 + 6 + 9) / 3 = 6.66667


Constraints:

1 <= id, t <= 10<sup>6</sup> 1 <= stationName.length, startStation.length, endStation.length <= 10
All strings consist of uppercase and lowercase English letters and digits. There will be at most 2 * 10<sup>4</sup> calls in total to checkIn, checkOut, and getAverageTime.
* Answers within 10<sup>-5</sup> of the actual value will be accepted.

题目大意:

求两站之间的平均时间。checkin和checkout都会发生,一个人不能连续checkin两次。站都是按先到后。

解题思路:

用两个Map来记录customer id -> 站台和时间,另一个记录起始站pair -> 总距离多少trip pair

解题步骤:

N/A

注意事项:

  1. collections.defaultdict(lambda: [0, 0]) 用于value是pair

Python代码:

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class Solution(TestCases):

def __init__(self):
self.start_to_end_time = {}
self.start_end_to_total = collections.defaultdict(lambda: [0, 0]) # cant use defaultdict

def checkIn(self, id: int, stationName: str, t: int) -> None:
self.start_to_end_time[id] = (stationName, t)

def checkOut(self, id: int, stationName: str, t: int) -> None:
if id not in self.start_to_end_time:
return
(start_station, start_time) = self.start_to_end_time[id]
total, n_trips = self.start_end_to_total[(start_station, stationName)]
total += t - start_time
n_trips += 1
self.start_end_to_total[(start_station, stationName)] = (total, n_trips)

def getAverageTime(self, startStation: str, endStation: str) -> float:
total, n_trips = self.start_end_to_total[(startStation, endStation)]
return total / n_trips

算法分析:

时间复杂度为O(1),空间复杂度O(n)

LeetCode



You are given a 0-indexed array of positive integers w where w[i] describes the weight of the i<sup>th</sup> index.

You need to implement the function pickIndex(), which randomly picks an index in the range [0, w.length - 1] (inclusive) and returns it. The probability of picking an index i is w[i] / sum(w).

For example, if w = [1, 3], the probability of picking index 0 is 1 / (1 + 3) = 0.25 (i.e., 25%), and the probability of picking index 1 is 3 / (1 + 3) = 0.75 (i.e., 75%).

Example 1:

Input
[“Solution”,”pickIndex”]
[[[1]],[]]
Output
[null,0]

Explanation
Solution solution = new Solution([1]);
solution.pickIndex(); // return 0. The only option is to return 0 since there is only one element in w.


Example 2:

Input
[“Solution”,”pickIndex”,”pickIndex”,”pickIndex”,”pickIndex”,”pickIndex”]
[[[1,3]],[],[],[],[],[]]
Output
[null,1,1,1,1,0]

Explanation
Solution solution = new Solution([1, 3]);
solution.pickIndex(); // return 1. It is returning the second element (index = 1) that has a probability of 3/4.
solution.pickIndex(); // return 1
solution.pickIndex(); // return 1
solution.pickIndex(); // return 1
solution.pickIndex(); // return 0. It is returning the first element (index = 0) that has a probability of 1/4.

Since this is a randomization problem, multiple answers are allowed.
All of the following outputs can be considered correct:
[null,1,1,1,1,0]
[null,1,1,1,1,1]
[null,1,1,1,0,0]
[null,1,1,1,0,1]
[null,1,0,1,0,0]
……
and so on.


Constraints:
1 <= w.length <= 10<sup>4</sup>
1 <= w[i] <= 10<sup>5</sup> pickIndex will be called at most 10<sup>4</sup> times.

题目大意:

根据数组每个元素的weight来决定其出现的概率: weight/sum of weight

解题思路:

模拟运算过程,先求和,然后根据上述公式分配概率: 如[1, 3], 小于0.25属于第一个元素,大于属于后一个元素,我们不用小数,还原回整数
所以数值小于1属于第一个元素,大于1小于4属于后一个,想到用presum,然后在presum搜索某个value,就想到二分法。

解题步骤:

N/A

注意事项:

  1. random.randint前闭后闭

Python代码:

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class Solution(TestCases):

def __init__(self, w: List[int]):
self.presum = []
sum = 0
for n in w:
sum += n
self.presum.append(sum)

def pickIndex(self) -> int:
rand_value = random.randint(0, self.presum[-1] - 1)
return bisect.bisect(self.presum, rand_value)

算法分析:

时间复杂度为O(1ogn),空间复杂度O(n)

LeetCode



Write a function to find the longest common prefix string amongst an array of strings.

If there is no common prefix, return an empty string "".

Example 1:

Input: strs = [“flower”,”flow”,”flight”]
Output: “fl”


Example 2:

Input: strs = [“dog”,”racecar”,”car”]
Output: “”
Explanation: There is no common prefix among the input strings.


Constraints:

1 <= strs.length <= 200 0 <= strs[i].length <= 200
* strs[i] consists of only lower-case English letters.

题目大意:

字符串列表的最长前缀

算法思路:

N/A

注意事项:

  1. 求最小值len初始值用最大值而不是0
  2. char = strs[0][i]而不是char = strs[i]

Python代码:

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def longestCommonPrefix(self, strs: List[str]) -> str:
min_len, res = sys.maxsize, ''
for s in strs:
min_len = min(min_len, len(s))
for i in range(min_len):
char = strs[0][i]
same_char = True
for j in range(1, len(strs)):
if char != strs[j][i]:
same_char = False
break
if not same_char:
break
res += char
return res

算法分析:

时间复杂度为O(nm),空间复杂度O(1)

LeetCode



Given a string s containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid.

An input string is valid if:

1. Open brackets must be closed by the same type of brackets.
2. Open brackets must be closed in the correct order.

Example 1:

Input: s = “()”
Output: true


Example 2:

Input: s = “()[]{}”
Output: true


Example 3:

Input: s = “(]”
Output: false


Example 4:

Input: s = “([)]”
Output: false


Example 5:

Input: s = “{[]}”
Output: true


Constraints:

1 <= s.length <= 10<sup>4</sup> s consists of parentheses only '()[]{}'.

题目大意:

求给定字符串是否合法括号配对。

算法思路:

括号题优先考虑用Stack

注意事项:

  1. 三种不合法情况: ‘[‘ (stack有余), ‘]’ (要匹配的时候stack为空), ‘{]’ (不匹配)

Python代码:

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PARENTHESES_DICT = {'(': ')', '[': ']', '{': '}'}
class Solution:
def isValid(self, s: str) -> bool:
if not s:
return False
stack = []
for char in s:
if char in '([{':
stack.append(char)
else:
if not stack:
return False
left = stack.pop()
if PARENTHESES_DICT[left] != char:
return False
return True if not stack else False

算法分析:

时间复杂度为O(n),空间复杂度O(n)

LeetCode



Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers.

If such an arrangement is not possible, it must rearrange it as the lowest possible order (i.e., sorted in ascending order).

The replacement must be in place and use only constant extra memory.

Example 1:

Input: nums = [1,2,3]
Output: [1,3,2]


Example 2:

Input: nums = [3,2,1]
Output: [1,2,3]


Example 3:

Input: nums = [1,1,5]
Output: [1,5,1]


Example 4:

Input: nums = [1]
Output: [1]


Constraints:

1 <= nums.length <= 100 0 <= nums[i] <= 100

题目大意:

下一个全排列数

解题思路:

N/A

解题步骤:

  1. 找到从后往前升序的第一个非升序数,如135864的5
  2. 找到从后往前比步骤1中大的数,调换,如6,变成136854
  3. 后边部分按升序排列或者做reverse(更高效)

注意事项:

  1. Python语法问题: reverse子列表,跟倒序遍历数组一样,要指明前后边界,前面边界值更大

Python代码:

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# 135864 -> 136854 -> 136458
# 1355864 -> 1356458
# 99
def nextPermutation(self, nums: List[int]) -> None:
to_be_swapped_index, greater_index = -1, -1
for i in range(len(nums) - 2, -1, -1):
if nums[i] < nums[i + 1]: # 5 < 8
to_be_swapped_index = i # 2
break
if to_be_swapped_index == -1:
nums.sort()
return nums
for i in range(len(nums) - 1, to_be_swapped_index, -1): #
if nums[to_be_swapped_index] < nums[i]: # 5 < 6
greater_index = i # 4
break # 136854
nums[to_be_swapped_index], nums[greater_index] = nums[greater_index], nums[to_be_swapped_index]
# nums[to_be_swapped_index + 1:] = sorted(nums[to_be_swapped_index + 1:]) # 136458
nums[to_be_swapped_index + 1:] = nums[:to_be_swapped_index:-1]
return nums

算法分析:

时间复杂度为O(n),空间复杂度O(1)

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