LeetCode
  • Introduction
  • Design
    • 348. Design Tic-Tac-Toe
    • 534. Design TinyURL
    • 535. Encode and Decode TinyURL
    • 346. Moving Average from Data Stream
    • 281. Zigzag Iterator
    • 381. Insert Delete GetRandom O(1) - Duplicates allowed
    • 432. All O`one Data Structure
    • 341. Flatten Nested List Iterator
    • 642. Design Search Autocomplete System
    • 170. Two Sum III - Data structure design
    • 622. Design Circular Queue
    • 295. Find Median from Data Stream
  • OOD
    • 146.LRU Cache(Amazon)
  • Sort
    • Bucket Sort
      • 791. Custom Sort String
      • 347. Top K Frequent Elements
      • 1057. Campus bikes
    • 280. Wiggle Sort
    • 75. Sort Colors
  • Binary Search
    • 278. First Bad Version
    • 162. Find Peak Element in O(logn)
    • LintCode 183. Wood Cut
    • 33. Search in Rotated Sorted Array
    • 81. Search in Rotated Sorted Array II
    • 153. Find Minimum in Rotated Sorted Array
    • 154. Find Minimum in Rotated Sorted Array II
    • 34. Find First and Last Position of Element in Sorted Array
    • Count number of occurrences (or frequency) in a sorted array
    • 378. Kth Smallest Element in a Sorted Matrix
    • 240. Search a 2D Matrix II
    • 658. Find K Closest Elements
    • 410. Split Array Largest Sum
  • Data Structure
    • Arrays
      • Two Pointer
        • 11. Container With Most Water
      • 283. Move Zeros
      • 26. Remove Duplicates from Sorted Array
      • 88. Merge Sorted Array
      • 683. K Empty Slots
      • 4. Median of Two Sorted Arrays
      • Interval
        • 56. Merge Interval
        • 57. Insert Interval
      • 54. Spiral Matrix
      • 48. Rotate Image(Amazon, MicroSoft, Apple)
      • 448. Find All Numbers Disappeared in an Array
      • 228. Summary Ranges
      • 289. Game of Life
      • 298. Product of Array Except Self
      • 825. Friends of Appropriate Ages
    • Stack
      • Postfix to Infix
      • 155. Min Stack
      • 716. Max Stack
      • 388. Longest Absolute File Path
      • 316. Remove Duplicate Letters
      • 636. Exclusive Time of Functions
      • Calculator Series
        • 227. Basic Calculator
        • 772. Basic Calculator III
    • Trie
      • 208. Implement Trie (Prefix Tree)
      • 211. Add and Search Word - Data structure design
      • 336. Palindrome Pairs
      • 212. Word Search II
    • Heap
      • 218. The Skyline Problem
      • 23. Merge k Sorted Lists
      • 252. Meeting Rooms
      • 253. Meeting Rooms II
      • 215. Kth Largest Element in an Array
      • 692. Top K Frequent Words
      • 373. Find K Pairs with Smallest Sums
    • Deque
      • 239. Sliding Window Maximum
    • Map
      • 128. Longest Consecutive Sequence
      • 350. Intersection of Two Arrays II
      • 760. Find Anagram Mappings
    • Segment Tree / Binary Indexed Tree
      • 308. Range Sum Query 2D - Mutable
      • 218. The Skyline Problem
      • 315. Count of Smaller Numbers After Self
      • 308. Range Sum Query 2D - Mutable
      • 493. Reverse Pairs
    • Linked List
      • 19. Remove Nth Node From End of List
      • 24. Swap Nodes in Pairs
      • 160. Intersection of Two Linked Lists
      • 138. Copy List with Random Pointer
      • 143. Reorder List
      • 445. Add Two Numbers II
    • Tree
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        • 109. Convert Sorted List to Binary Search Tree
        • 285. Inorder Successor in BST
        • Convert Binary Search Tree (BST) to Sorted Doubly-Linked List
        • Construct Binary Tree from Inorder and Postorder Traversal
      • 101. Symmetric Tree
      • 105. Construct Binary Tree from Preorder and Inorder Traversal
      • 106. Construct Binary Tree from Inorder and Postorder Traversal
      • 110. Balanced Binary Tree
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      • 261. Graph Valid Tree
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    • Linked List
      • 138. Copy List with Random Pointer
      • 21. Merge Two Sorted Lists
      • 23. Merge K Sorted Lists
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      • 141. Linked List Cycle
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      • 708. Insert into a Cyclic Sorted List
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        • 207. Course Schedule
        • 210. Course Schedule II
        • 133. Clone Graph
        • 675. Cut Off Trees for Golf Event
        • 269. Alien Dictionary
      • BackTracking
        • 39. Combination Sum
        • 40. Combination Sum II
        • 79. Word Search
        • 212. Word Search II
        • 282. Expression Add Operators
      • Memoization
        • 329. Longest Increasing Path in a Matrix
      • 733. Flood Fill
      • 279. Perfect Squares
      • 200. Number of Islands (Amazon)
      • 694. Number of Distinct Islands
      • 711. Number of Distinct Islands II
      • 98. Validate Binary Search Tree
      • 785. Is Graph Bipartite?
      • 491. Increasing Subsequences
      • 51. N-Queens
      • 52. N-Queens II
      • 286. Walls and Gates
      • 111. Minimum Depth of Binary Tree
      • 753. Craking the Safe
    • 399. Evaluate Division
    • 127. Word Ladder
    • 126. Word Ladder II
    • 339. Nested List Weight Sum
  • Traversal
    • 297. Serialize and Deserialize Binary Tree
    • 236. Lowest Common Ancestor of a Binary Tree
    • 235. Lowest Common Ancestor of a Binary Search Tree
    • 144. Binary Tree Preorder Traversal
    • 255. Verify Preorder Sequence in Binary Search Tree
    • 94. Binary Tree Inorder Traversal
    • 145. Binary Tree Post Order Traversal
    • 102. Level Order Traversal
    • 103. Binary Tree Zipzag Level Order Traversal
    • 107. Binary Tree Level Order Traversal
    • 156. Binary Upside Down
    • 173. Binary Search Tree Iterator
    • 99. Recover Binary Search Tree
    • Morris Traversal
    • 498. Diagonal Traverse
    • Flatten
      • Flatten Binary Tree to Linked List
  • Math
    • Bit Manipulation
      • 231. Power of Two
      • 393. UTF-8 Validation
      • 371. Sum of Two Integers
    • 463. Island Perimeter
    • 50. Pow(x,n)
    • 326. Power of Three
    • 67. Add Binary
    • 29. Divide Two Integers
    • 360. Sort Transformed Array
    • 247. Strobogrammatic Number II
    • 277. Find the Celebrity
    • 246. Strobogrammatic Number
    • 415. Add Strings
    • 398. Reservoir Sampling
    • 43. Multiply Strings
    • 311. Sparse Matrix Multiplication
    • 8. String to Integer (Atoi)
    • 7. Reverse Integer
    • 829. Consecutive Numbers Sum
    • MiniMax
      • Guess the Word
  • Sum
    • 1. Two Sum
    • 167. Two Sum II - Input array is sorted
    • 15. 3Sum
    • 16. 3Sum Closest
    • 18. 4Sum
    • 454. 4Sum II
    • Path sum
      • 124. Binary Tree Maximum Path Sum
      • 113. Path Sum II
      • 437. Path Sum III
    • 209. Minimum Size Subarray Sum
    • 862. Shortest Subarray with Sum at Least K
    • 560. Subarray Sum Equals K
    • 523. Continuous Subarray Sum
  • Parentheses
    • 20. Valid Parentheses
    • 32. Longest Valid Parentheses
    • 301. Remvoe Invalid Parenthesis
    • 678. Valid Parenthesis String
  • String
    • Substring Search
      • 3. Longest Substring Without Repeating Characters
      • 438. Find All Anagrams in a String
      • 76. Minimum Window Substring
      • 30. Substring with Concatenation of All Words
      • 159. Longest Substring with At Most Two Distinct Characters
      • 340. Longest Substring with At Most K Distinct Characters
      • 395. Longest Substring with At Least K Repeating Characters
    • 12. Integer to Roman
    • 13. Roman to Integer
    • 44. Wildcard Matching
    • 242. Valid Anagram
    • 49. Group Anagrams
    • 657. Judge Route Circle
    • 482. License Key Formatting
    • 681. Next Closet Time
    • 387. First Unique Character in a String
    • 426. Convert Binary Search Tree to Sorted Doubly Linked List
    • 273. Integer to English Words
    • 157. Read N Characters Given Read4
    • 158. Read N Characters Given Read4 II - Call multiple times
    • 480. Valid Word Abbreviation
    • 409. Longest Palindrome
    • 680. Valid Palindrome II
    • 125. Valid Palindrome
    • 468. Validate IP Address
    • 161. One Edit Distance
    • 38. Count and Say
    • 1096. Brace Expansion II
  • Greedy
    • 630. Course Schedule III
    • 621. Task Scheduler
    • 358. Rearrange String k Distance Apart
    • 406. Queue Reconstruction by Height
    • 316. Remove Duplicate Letters
    • 767. Reorganize String
  • Dynamic Programming
    • Palindromic Substring
      • 5. longest Palindromic Substring
    • Subarray
      • 53. Maximum Subarray
      • 152. Maximum Product Subarray
    • Backpack problem
      • Backpack I
      • Backpack II
      • Backpack III
      • Backpack IV
      • Backpack V
      • Backpack VI aka: Combination Sum IV
      • Coin Change 2
    • 70. Climbing Stairs
    • 10. Regular Expression Matching
    • 91. Decode Ways
    • 338. Counting Bits
    • 121. Best Time to Buy and Sell Stock
    • 122. Best Time to Buy and Sell Stock II
    • 123. Best Time to Buy and Sell Stock III
    • 139. Word Break
    • 140. Word Break II
    • 198. House Robber
    • 72. Edit Distance
    • 221. Maximal Square
    • 84. Largest Rectangle in Histogram
    • 312. Burst Balloons
    • 304. Range Sum Query 2D - Immutable
    • 518. Coin Change 2
    • Longest Arithmetic Progression
    • 975. Odd Even Jump
    • 1066. Campus Bikes II
  • JingChi.ai
    • Word Composition
    • Sliding Window Median
    • 537. Erect the Fence (Convex Hull Problem)
    • LintCode 558: Sliding Window Matrix Maximum
    • orienteering game
    • 扫雷
  • Twitter
    • Identifying Triangle
    • Last and Second-Last
    • 300. Longest increasing subsequence
    • Twin String
    • 647. Number of palindromic substring
    • Wildcard Matching
  • Akuna
    • C++ Intern
    • V1
    • V2
    • Cut the Sticks
    • Quant Dev
    • Postfix_to_infix
    • Drone Delivery
    • phone
  • LintCode Contest
    • Ask For Cooling Time
  • SQL
    • 176. Second Highest Salary
    • 597. Friend Requests I: Overall Acceptance Rate
  • FB 19
    • Convert Binary Search Tree (BST) to Sorted Doubly-Linked List
    • 3Sum
    • Minimum Window Substring
    • Count number of occurrences (or frequency) in a sorted array
    • Count NO2
    • Valid Palindrome
    • Merge k Sorted Lists
    • Kth Largest Element in an Array
    • Move Zeros
    • Remove Invalid Parenthesis
    • friends
    • Integer to English
    • Islands
    • Valid Palindrome
    • sec
      • Longest Increasing Path in a Matrix
      • Product of Array Except Self
      • Binary Tree Vertical Order Traversal
      • Add Binary
      • Valid Parentheses
      • sup
        • 128. Longest Consecutive Sequence
        • Combination Sum II
        • Add and Search Word - Data structure design
        • feb
  • Google 20
    • 410. Split Array Largest Sum
  • 818. Race Card
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  1. Data Structure
  2. Stack

636. Exclusive Time of Functions

Given the running logs ofnfunctions that are executed in a nonpreemptive single threaded CPU, find the exclusive time of these functions.

Each function has a unique id, start from0ton-1. A function may be called recursively or by another function.

A log is a string has this format :function_id:start_or_end:timestamp. For example,"0:start:0"means function 0 starts from the very beginning of time 0."0:end:0"means function 0 ends to the very end of time 0.

Exclusive time of a function is defined as the time spent within this function, the time spent by calling other functions should not be considered as this function's exclusive time. You should return the exclusive time of each function sorted by their function id.

Example 1:

Input:

n = 2
logs = 
["0:start:0",
 "1:start:2",
 "1:end:5",
 "0:end:6"]

Output:
[3, 4]

Explanation:

Function 0 starts at time 0, then it executes 2 units of time and reaches the end of time 1. 
Now function 0 
calls function 1
, function 1 starts at time 2, executes 4 units of time and end at time 5.
Function 0 is running again at time 6, and also end at the time 6, thus executes 1 unit of time. 
So function 0 totally execute 2 + 1 = 3 units of time, and function 1 totally execute 4 units of time.

Note:

  1. Input logs will be sorted by timestamp, NOT log id.

  2. Your output should be sorted by function id, which means the 0th element of your output corresponds to the exclusive time of function 0.

  3. Two functions won't start or end at the same time.

  4. Functions could be called recursively, and will always end.

  5. 1 <= n <= 100

Thoughts:

  1. Recursive call: so using stack: record current functions by id

  2. For each log, check the type of fuction:

    1. if it is a "start", increment the caller function execution time by querying the last element in the stack with time - prev_time

    2. if it is a "end", pop the function from stack and use it to index into returned function. The total execution for popped function is time + 1 - prev_time since the questions records the end of the time for "end"

Code:

class Solution(object):
    def exclusiveTime(self, n, logs):
        """
        :type n: int
        :type logs: List[str]
        :rtype: List[int]
        """
        funcs = [0] * n
        stack = []
        prev_time = 0

        for log in logs:
            fid , typ, time = log.split(':')
            fid , time = int(fid), int(time)

            if typ == "start":
                if stack:
                    funcs[stack[-1]] += time - prev_time
                stack.append(fid)
                prev_time = time
            else:
                funcs[stack.pop()] += time + 1 -prev_time # end of time t so + 1
                prev_time = time + 1

        return funcs

Code: use stack to record time (slow)

class Solution(object):
    def exclusiveTime(self, n, logs):
        """
        :type n: int
        :type logs: List[str]
        :rtype: List[int]
        """
        funcs , stack = [0] * n, []

        for log in logs:
            fid , typ, time = log.split(':')
            fid, time = int(fid), int(time)

            if typ == 'start':
                stack.append(time)
            else:
                d = time + 1 - stack.pop() 
                funcs[fid] += d
                stack = [t + d for t in stack]

        return funcs

Code: Augmented solution for new stack class design

class Solution(object):
    def exclusiveTime(self, n, logs):
        """
        :type n: int
        :type logs: List[str]
        :rtype: List[int]
        """
        funcs , stack = [0] * n, AccStack()

        for log in logs:
            fid , typ, time = log.split(':')
            fid, time = int(fid), int(time)

            if typ == 'start':
                stack.append(time)
            else:
                d = time + 1 - stack.pop() 
                funcs[fid] += d # adds up for adjustments later
                stack.add_across(d)

        return funcs

class AccStack(object):
    def __init__ (self):
        self.s = []
    def append(self, x):
        self.s.append([x, 0]) #[time, time "waiting" in calling other methods]
    def pop(self):
        t1, t2 = self.s.pop()
        if self.s:
            self.s[-1][1] += t2
        return  t1 + t2

    def add_across(self, t):
        if self.s:
            self.s[-1][1] += t
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