Limited Time Offer:Up to 20% off Hello Interview Premium
Up to 20% off Hello Interview Premium 🎉
Hello Interview
Learn Code
Introduction
Overview
Container With Most Water
Two Sum (Sorted Array)
3-Sum
Triangle Numbers
Move Zeroes
Sort Colors
Trapping Rain Water
Overview
Maximum Sum of Subarrays of Size K
Max Points You Can Obtain From Cards
Max Sum of Distinct Subarrays Length k
Overview
Longest Substring Without Repeating Characters
Longest Repeating Character Replacement
Overview
Can Attend Meetings
Insert Interval
Non-Overlapping Intervals
Merge Intervals
Employee Free Time
Overview
Valid Parentheses
Decode String
Longest Valid Parentheses
Monotonic Stack
Daily Temperatures
Largest Rectangle in Histogram
Overview
Linked List Cycle
Palindrome Linked List
Remove Nth Node From End of List
Reorder List
Swap Nodes in Pairs
Overview
Apple Harvest (Koko Eating Bananas)
Search in Rotated Sorted Array
Split Array Largest Sum
Kth Smallest Element in a Sorted Matrix
Minimum Shipping Capacity
Overview
Kth Largest Element in an Array
K Closest Points to Origin
Find K Closest Elements
Merge K Sorted Lists
Median from Data Stream
Introduction
Fundamentals
Return Values
Maximum Depth of Binary Tree
Path Sum
Passing Values Down and Helper Functions
Validate Binary Search Tree
Calculate Tilt
Diameter of a Binary Tree
Path Sum II
Longest Univalue Path
Graphs Overview
Adjacency List
Copy Graph
Graph Valid Tree
Matrices
Flood Fill
Number of Islands
Surrounded Regions
Pacific Atlantic Water Flow
Introduction
Overview
Level Order Sum
Rightmost Node
Zigzag Level Order
Maximum Width of Binary Tree
Graphs Overview
Minimum Knight Moves
Rotting Oranges
01-Matrix
Bus Routes
Overview
Word Search
Solution Space Trees
Subsets
Generate Parentheses
Combination Sum
Palindrome Partitioning
N-Queens
Overview
Course Schedule
Course Schedule II
Shortest Path Algorithms
Network Delay Time
Cheapest Flights Within K Stops
Path With Minimum Effort
Find City with Fewest Reachable
Fundamentals
Solving a Question with Dynamic Programming
Counting Bits
Decode Ways
Unique Paths
Maximal Square
Longest Increasing Subsequence
Word Break
Maximum Profit in Job Scheduling
Paint House
Paint House II
Minimum Window Subsequence
Overview
Best Time to Buy and Sell Stock
Gas Station
Jump Game
Jump Game II
Partition Labels
Overview
Implement Trie Methods
Prefix Matching
Overview
Count Vowels in Substrings
Subarray Sum Equals K
Spiral Matrix
Rotate Image
Set Matrix Zeroes
Vote For New Content
Pricing
Sign in / Sign up
Search
⌘K
Pricing

Tutor

Stack

Decode String

medium

max (21)341224132;341225102;21365487109
Count: 10
abcValid triangle requires:a + b > c AND a + c > b AND b + c > a(every pair must sum to more than the third side)3511SOURCE23211SOURCE23UNREACHABLE$100$100$100$5000SRC123DST$100$100$1000SRC123DST01233141Threshold: 4Answer: 32 reachable01234231118Threshold: 2Answer: 01 reachable1102233321432263321
DESCRIPTION (inspired by Leetcode.com)

Given an encoded string, write a function to return its decoded string that follows a specific encoding rule: k[encoded_string], where the encoded_string within the brackets is repeated exactly k times. Note that k is always a positive integer. The input string is well-formed without any extra spaces, and square brackets are properly matched. Also, assume that the original data doesn't contain digits other than the ones that specify the number of times to repeat the following encoded_string.

Inputs:

s = "3[a2[c]]"

Output:

"accaccacc"

Explanation

We start by initializing our stack, and the variables curr_string and current_number. The stack allows us to account for nested sequences correctly. curr_string represents the current string we currently decoding, and current_number represents the number of times we need to repeat it when the current decode sequence is completed (i.e. when we encounter a closing "]" bracket).
Visualization
Python
Language
def decodeString(s):
stack = []
curr_string = ""
current_number = 0
for char in s:
if char == "[":
stack.append(curr_string)
stack.append(current_number)
curr_string = ""
current_number = 0
elif char == "]":
num = stack.pop()
prev_string = stack.pop()
curr_string = prev_string + num * curr_string
elif char.isdigit():
current_number = current_number * 10 + int(char)
else:
curr_string += char
return curr_string
3[a2[c]]

decode string

0 / 1

We then iterate over each character in the encoded string, handling each character as follows:

"[": Start of a new sequence

When we encounter an opening bracket, we push the current string curr_string and the current number current_number to the stack and reset curr_string to an empty string and current_number to 0. These values that we pushed onto the stack represent the "context" of the current sequence we are decoding. We use current_number to keep track of the number of times we need to repeat the current string we are about to decode, while curr_string represents the value of the string that will be prepended to the result of the current sequence.
Visualization
Python
Language
def decodeString(s):
stack = []
curr_string = ""
current_number = 0
for char in s:
if char == "[":
stack.append(curr_string)
stack.append(current_number)
curr_string = ""
current_number = 0
elif char == "]":
num = stack.pop()
prev_string = stack.pop()
curr_string = prev_string + num * curr_string
elif char.isdigit():
current_number = current_number * 10 + int(char)
else:
curr_string += char
return curr_string
3[a2[c]]stackcurrString: ""currNumber: 3

[

0 / 2

"]": End of a sequence

When we encounter a closing bracket, we pop the top two values off the stack: first the repeat count we saved on the way in, then the previous string. We repeat curr_string by that count, prepend the previous string, and the result becomes our new curr_string.
Visualization
Python
Language
def decodeString(s):
stack = []
curr_string = ""
current_number = 0
for char in s:
if char == "[":
stack.append(curr_string)
stack.append(current_number)
curr_string = ""
current_number = 0
elif char == "]":
num = stack.pop()
prev_string = stack.pop()
curr_string = prev_string + num * curr_string
elif char.isdigit():
current_number = current_number * 10 + int(char)
else:
curr_string += char
return curr_string
3[a2[c]]""3a2stackcurrString: ccurrNumber: 0

]

0 / 1

We are finished decoding 2[c], so we repeat \"c\"2 times and prepend \"a\" and pop the top two values from the stack.

Digit

When char is a digit, we update current_number by multiplying it by 10 and adding the value of the digit. current_number is used to keep track of the number of times we need to repeat the current string we are just about to decode.
Visualization
Python
Language
def decodeString(s):
stack = []
curr_string = ""
current_number = 0
for char in s:
if char == "[":
stack.append(curr_string)
stack.append(current_number)
curr_string = ""
current_number = 0
elif char == "]":
num = stack.pop()
prev_string = stack.pop()
curr_string = prev_string + num * curr_string
elif char.isdigit():
current_number = current_number * 10 + int(char)
else:
curr_string += char
return curr_string
3[a2[c]]stackcurrString: ""currNumber: 0

initialize variables

0 / 2

We need to repeat the result of decoding a2[c] 3 times.

Letter

When we encounter a letter, we append it to the current string curr_string.

Solution

Visualization
Python
Language
Try these examples:
def decodeString(s):
stack = []
curr_string = ""
current_number = 0
for char in s:
if char == "[":
stack.append(curr_string)
stack.append(current_number)
curr_string = ""
current_number = 0
elif char == "]":
num = stack.pop()
prev_string = stack.pop()
curr_string = prev_string + num * curr_string
elif char.isdigit():
current_number = current_number * 10 + int(char)
else:
curr_string += char
return curr_string
3[a2[c]]

decode string

0 / 20

Complexity Analysis

For this problem, let n be the length of the input string and S be the length of the decoded output string.
Test Your Knowledge

Login to take the complexity quiz and track your progress

Complexity Analysis

Time Complexity: O(S) While we iterate through the input string once in O(n) time, constructing the repeated strings takes time proportional to the total number of characters in the final decoded result. The decoded string can be much larger than the input (e.g., '3[a2[c]]' decodes to 'accaccacc').

Space Complexity: O(S) We need to store the decoded string, and in the worst case, the stack can also grow proportional to the output size when dealing with nested sequences.

Mark as read

Next: Longest Valid Parentheses

Your account is free and you can post anonymously if you choose.

Unlock Premium Coding Content

Interactive algorithm visualizations
Guided Practice
Recent interview questions
Learn More
Reading Progress

On This Page

Explanation

Solution

Complexity Analysis

Questions
Meta SWE Interview QuestionsAmazon SWE Interview QuestionsGoogle SWE Interview QuestionsOpenAI SWE Interview QuestionsEngineering Manager (EM) Interview Questions
Learn
Learn System DesignLearn DSALearn BehavioralLearn ML System DesignLearn Low Level DesignGuided Practice
Links
FAQPricingGift PremiumHello Interview Premium
Legal
Terms and ConditionsPrivacy PolicySecurity
Contact
About UsProduct Support

7511 Greenwood Ave North Unit #4238 Seattle WA 98103


© 2026 Optick Labs Inc. All rights reserved.

Login to track your progress