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DSA Pythonprogramming~10 mins

Palindrome Partitioning Using Backtracking in DSA Python - Execution Trace

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Concept Flow - Palindrome Partitioning Using Backtracking
Start with empty path
↓
Choose substring from start
↓
Check if substring is palindrome?
No→Discard substring, try next
Yes↓
Add substring to path
↓
Recurse with remaining string
↓
If no string left
→Add path to results
↓
Backtrack: remove last substring
↩Back to choose next substring
We try all substrings from the start, keep those that are palindromes, recurse on the rest, and backtrack to explore all partitions.
Execution Sample
DSA Python
def backtrack(s, start, path, res):
    if start == len(s):
        res.append(path[:])
        return
    for end in range(start, len(s)):
        if s[start:end+1] == s[start:end+1][::-1]:
            path.append(s[start:end+1])
            backtrack(s, end+1, path, res)
            path.pop()
This code finds all palindrome partitions of string s using backtracking.
Execution Table
StepOperationSubstring ChosenIs Palindrome?Path (Current Partition)Remaining StringAction
1Start[]aabBegin with empty path
2Choose substringaYes["a"]abAdd 'a' to path, recurse
3Choose substringaYes["a", "a"]bAdd 'a' to path, recurse
4Choose substringbYes["a", "a", "b"]Add 'b' to path, recurse
5Reached end["a", "a", "b"]Add path to results
6Backtrack["a", "a"]bRemove 'b', try next substring
7No more substringsNo["a", "a"]bBacktrack again
8Backtrack["a"]abRemove last 'a', try next substring
9Choose substringabNo["a"]abDiscard 'ab', try next
10Backtrack[]aabRemove 'a', try next substring
11Choose substringaaYes["aa"]bAdd 'aa' to path, recurse
12Choose substringbYes["aa", "b"]Add 'b' to path, recurse
13Reached end["aa", "b"]Add path to results
14Backtrack["aa"]bRemove 'b', try next substring
15No more substringsNo["aa"]bBacktrack again
16Backtrack[]aabRemove 'aa', try next substring
17Choose substringaabNo[]aabDiscard 'aab', no more substrings
18End[]aabAll partitions found, stop
💡 All substrings tried, all palindrome partitions collected.
Variable Tracker
VariableStartAfter Step 2After Step 3After Step 4After Step 5After Step 6After Step 8After Step 11After Step 12After Step 13Final
path[]["a"]["a", "a"]["a", "a", "b"]["a", "a", "b"]["a", "a"]["a"]["aa"]["aa", "b"]["aa", "b"][]
res[][][][][["a", "a", "b"]][["a", "a", "b"]][["a", "a", "b"]][["a", "a", "b"]][["a", "a", "b"]][["a", "a", "b"], ["aa", "b"]][["a", "a", "b"], ["aa", "b"]]
start01233212330
Key Moments - 3 Insights
Why do we backtrack by removing the last substring from path?
Because after exploring one choice fully (see Step 5 and Step 13), we remove the last substring to try other possible substrings (see Steps 6 and 14). This ensures all partitions are explored.
Why do we check if substring is palindrome before adding to path?
Only palindrome substrings are valid parts of the partition. Checking at each step (see Steps 2, 3, 4, 9, 11) avoids invalid partitions and reduces unnecessary recursion.
What happens when start index reaches the string length?
It means we have partitioned the entire string successfully (see Step 5 and Step 13). We then add the current path to results and backtrack to find other partitions.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table at Step 4, what is the current path?
A["a", "a", "b"]
B["a"]
C["a", "a"]
D[]
💡 Hint
Check the 'Path (Current Partition)' column at Step 4 in the execution table.
At which step does the algorithm add the partition ["aa", "b"] to the results?
AStep 5
BStep 18
CStep 13
DStep 11
💡 Hint
Look for 'Add path to results' action with path ["aa", "b"] in the execution table.
If the input string was 'aaa', how would the path change after the first recursion?
A["aa"]
B["a"]
C["a", "a"]
D["aaa"]
💡 Hint
Check variable_tracker for path after first substring added (similar to Step 2).
Concept Snapshot
Palindrome Partitioning Using Backtracking:
- Try all substrings from current start
- Check if substring is palindrome
- If yes, add to current path
- Recurse with remaining string
- If start reaches end, add path to results
- Backtrack by removing last substring
- Explore all partitions this way
Full Transcript
Palindrome Partitioning uses backtracking to find all ways to split a string into palindrome substrings. We start with an empty path and try every substring from the current start index. If the substring is a palindrome, we add it to the path and recurse on the remaining string. When the start index reaches the string length, we add the current path to the results. Then we backtrack by removing the last substring and try other substrings. This process continues until all partitions are found. The execution table shows each step, substring chosen, palindrome check, current path, and remaining string. Variable tracker shows how path and results change. Key moments clarify why backtracking and palindrome checks are needed. Visual quizzes test understanding of path states and results addition.

Practice

(1/5)
1. What is the main goal of palindrome partitioning using backtracking on a string s?
easy
A. To split s into all possible substrings where each substring is a palindrome
B. To find the longest palindrome substring in s
C. To count the total number of palindromes in s
D. To reverse the string s and check if it is a palindrome

Solution

  1. Step 1: Understand palindrome partitioning

    Palindrome partitioning means dividing the string into parts where each part reads the same forwards and backwards.
  2. Step 2: Role of backtracking

    Backtracking tries all possible splits and keeps only those where every substring is a palindrome.
  3. Final Answer:

    To split s into all possible substrings where each substring is a palindrome -> Option A
  4. Quick Check:

    Palindrome partitioning = all palindrome substrings [OK]
Hint: Backtracking tries all splits keeping palindrome parts [OK]
Common Mistakes:
  • Confusing palindrome partitioning with longest palindrome substring
  • Thinking it counts palindromes instead of listing partitions
  • Assuming it just reverses the string
2. Which of the following is the correct Python syntax to check if a substring s[i:j] is a palindrome inside a backtracking function?
easy
A. if s[i:j] == s[j:i]:
B. if s[i:j] == reversed(s[i:j]):
C. if s[i:j] == s[i:j][::-1]:
D. if s[i:j] == s[j:i][::-1]:

Solution

  1. Step 1: Understand Python slicing and reversal

    Using s[i:j][::-1] reverses the substring from index i to j-1.
  2. Step 2: Compare substring with its reverse

    If s[i:j] equals its reversed version, it is a palindrome.
  3. Final Answer:

    if s[i:j] == s[i:j][::-1]: -> Option C
  4. Quick Check:

    Substring == reversed substring [OK]
Hint: Use slicing with [::-1] to reverse substring [OK]
Common Mistakes:
  • Using reversed() which returns an iterator, not a string
  • Comparing s[i:j] with s[j:i] which is empty or invalid
  • Incorrect slicing order causing empty strings
3. What will be the output of the following code snippet?
def backtrack(s, start, path, result):
    if start == len(s):
        result.append(path[:])
        return
    for end in range(start + 1, len(s) + 1):
        if s[start:end] == s[start:end][::-1]:
            path.append(s[start:end])
            backtrack(s, end, path, result)
            path.pop()

result = []
backtrack('aab', 0, [], result)
print(result)
medium
A. [['a', 'a', 'b'], ['aa', 'b']]
B. [['a', 'ab'], ['aa', 'b']]
C. [['a', 'a', 'b']]
D. [['aa', 'ab']]

Solution

  1. Step 1: Trace backtracking on 'aab'

    Partitions found are ['a','a','b'] and ['aa','b'] because 'a', 'aa', and 'b' are palindromes.
  2. Step 2: Confirm all palindrome partitions collected

    Both partitions are added to result list before printing.
  3. Final Answer:

    [['a', 'a', 'b'], ['aa', 'b']] -> Option A
  4. Quick Check:

    All palindrome partitions = [['a', 'a', 'b'], ['aa', 'b']] [OK]
Hint: Check all palindrome splits recursively [OK]
Common Mistakes:
  • Missing the partition ['aa', 'b']
  • Including non-palindrome substrings like 'ab'
  • Not popping path after recursion causing wrong results
4. Identify the error in the following backtracking code for palindrome partitioning:
def backtrack(s, start, path, result):
    if start == len(s):
        result.append(path)
        return
    for end in range(start + 1, len(s) + 1):
        if s[start:end] == s[start:end][::-1]:
            path.append(s[start:end])
            backtrack(s, end, path, result)
            path.pop()

result = []
backtrack('aba', 0, [], result)
print(result)
medium
A. The loop range should start from start, not start + 1
B. The palindrome check is incorrect
C. Missing return statement after appending to result
D. Appending path directly causes all results to be the same list

Solution

  1. Step 1: Understand list reference behavior in Python

    Appending path directly adds a reference, so all entries point to the same list.
  2. Step 2: Fix by appending a copy of path

    Use result.append(path[:]) to save a snapshot of current path.
  3. Final Answer:

    Appending path directly causes all results to be the same list -> Option D
  4. Quick Check:

    Append copy of path, not path itself [OK]
Hint: Always append a copy of path to result [OK]
Common Mistakes:
  • Appending the same list reference causing duplicate results
  • Incorrect palindrome check logic
  • Wrong loop range causing missed substrings
5. Given the string s = 'racecar', how many unique palindrome partitions will the backtracking algorithm find?
hard
A. 4
B. 8
C. 6
D. 10

Solution

  1. Step 1: List all palindrome partitions of 'racecar'

    Partitions include: ['r', 'a', 'c', 'e', 'c', 'a', 'r'], ['r', 'a', 'cec', 'a', 'r'], ['r', 'aceca', 'r'], ['racecar'], ['r', 'aceca', 'r'], ['r', 'a', 'c', 'e', 'c', 'a', 'r'], ['r', 'a', 'cec', 'a', 'r'], and others totaling 8 unique partitions.
  2. Step 2: Confirm count by backtracking logic

    Backtracking finds all palindrome splits, totaling 8 unique partitions.
  3. Final Answer:

    8 -> Option B
  4. Quick Check:

    Unique palindrome partitions count = 8 [OK]
Hint: Count all palindrome splits carefully [OK]
Common Mistakes:
  • Counting non-palindrome substrings as partitions
  • Missing longer palindrome substrings like 'aceca'
  • Assuming only single-character partitions
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