Longest Common Prefix in DSA Go - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the Longest Common Prefix (LCP) in a list of strings?

The Longest Common Prefix is the longest starting substring that is common to all strings in the list.

intermediate

How does the horizontal scanning method find the Longest Common Prefix?

It starts with the first string as the prefix and compares it with each string, shortening the prefix until it matches all strings.

intermediate

What is the time complexity of the vertical scanning approach for Longest Common Prefix?

The time complexity is O(S), where S is the sum of all characters in all strings because it checks characters column by column.

beginner

In Go, which data type is best suited to store the Longest Common Prefix result?

A string type is best suited to store the Longest Common Prefix because it represents text data.

advanced

Why might the divide and conquer method be efficient for Longest Common Prefix?

It splits the list into halves, finds LCP for each half, then merges results, reducing comparisons and improving efficiency.

What does the Longest Common Prefix represent in a list of strings?

A The longest substring common at the start of all strings

B The longest substring common at the end of all strings

C The longest substring common anywhere in all strings

D The shortest substring in the first string

The Longest Common Prefix is the longest starting substring common to all strings.

Which approach compares characters column by column to find the LCP?

A Binary search

B Horizontal scanning

C Divide and conquer

D Vertical scanning

Vertical scanning checks each character position across all strings before moving to the next.

If the first string is empty, what is the Longest Common Prefix?

A First string itself

B Second string

C Empty string

D No prefix

If the first string is empty, the LCP must be empty because no prefix can be longer.

What is the best data type to store the LCP in Go?

A int

B string

C slice of bytes

D bool

The LCP is text, so string is the appropriate data type.

Which method splits the list into halves to find the LCP?

A Divide and conquer

B Vertical scanning

C Horizontal scanning

D Brute force

Divide and conquer splits the list and merges results to find the LCP efficiently.

Explain how the horizontal scanning method finds the Longest Common Prefix in a list of strings.

Think about comparing prefixes one by one from left to right.

Describe the advantages of using divide and conquer for finding the Longest Common Prefix.

Consider how breaking the problem into smaller parts helps.

Practice

1. What does the Longest Common Prefix (LCP) of a list of strings represent?

easy

A. The longest starting substring common to all strings

B. The longest ending substring common to all strings

C. The longest substring found anywhere in all strings

D. The shortest substring unique to each string

Solution

1. Step 1: Understand the prefix concept

   A prefix is a substring starting at the beginning of a string.

2. Step 2: Define longest common prefix

   The longest common prefix is the longest substring starting at the beginning that all strings share.

3. Final Answer:

   The longest starting substring common to all strings -> Option A

4. Quick Check:

   Prefix means start of string = longest common start substring [OK]

Hint: Focus on the start of strings, not anywhere else [OK]

Common Mistakes:

• Confusing prefix with substring anywhere
• Thinking about suffix instead of prefix
• Assuming shortest substring is the answer

2. Which of the following Go code snippets correctly initializes a slice of strings named strs with values "flower", "flow", "flight"?

easy

A. var strs = {"flower", "flow", "flight"}

B. strs := [3]string{"flower", "flow", "flight"}

C. strs := []string{"flower", "flow", "flight"}

D. strs := string{"flower", "flow", "flight"}

Solution

1. Step 1: Identify correct slice initialization syntax

   In Go, slices are initialized with []type{values} syntax.

2. Step 2: Check each option

   strs := []string{"flower", "flow", "flight"} uses []string with curly braces correctly. strs := [3]string{"flower", "flow", "flight"} uses array syntax but is valid but fixed size, not slice. var strs = {"flower", "flow", "flight"} uses invalid braces. strs := string{"flower", "flow", "flight"} uses wrong type syntax.

3. Final Answer:

   strs := []string{"flower", "flow", "flight"} -> Option C

4. Quick Check:

   Slice syntax = []type{values} [OK]

Hint: Use []string{...} to create string slices in Go [OK]

Common Mistakes:

• Using array syntax when slice is needed
• Missing type brackets []
• Using curly braces without type

3. Given a list of strings ["dog", "racecar", "car"], what should the longest common prefix function return and why?

easy

A. "d" because all strings start with 'd'

B. "" because no common prefix exists

C. "c" because 'car' is the shortest string

D. "r" because 'racecar' starts with 'r'

Solution

1. Step 1: Compare prefixes of all strings

   "dog" starts with 'd', "racecar" with 'r', "car" with 'c'. No common starting character exists.

2. Step 2: Determine longest common prefix

   Since no common starting substring exists, the longest common prefix is empty string "".

3. Final Answer:

   "" because no common prefix exists -> Option B

4. Quick Check:

   No common start means empty prefix [OK]

Hint: If first chars differ, prefix is empty [OK]

Common Mistakes:

• Assuming shortest string is prefix
• Picking first string's first letter
• Ignoring all strings must share prefix

4. What is the output of the following Go code that finds the longest common prefix?

package main
import "fmt"
func longestCommonPrefix(strs []string) string {
    if len(strs) == 0 {
        return ""
    }
    prefix := strs[0]
    for _, s := range strs[1:] {
        for len(prefix) > 0 && len(s) >= len(prefix) && s[:len(prefix)] != prefix {
            prefix = prefix[:len(prefix)-1]
        }
    }
    return prefix
}
func main() {
    strs := []string{"inter", "internet", "internal"}
    fmt.Println(longestCommonPrefix(strs))
}

medium

A. int

B. in

C. inte

D. inter

Solution

1. Step 1: Initialize prefix and compare with each string

   Prefix starts as "inter". Compare with "internet": len(s)=8 >=5 and "internet"[:5] == "inter", so no reduction.

2. Step 2: Compare prefix "inter" with "internal"

   len(s)=8 >=5 and "internal"[:5] == "inter", so prefix remains "inter".

3. Final Answer:

   inter -> Option D

4. Quick Check:

   Common start of all strings = "inter" [OK]

Hint: Shrink prefix until all strings start with it [OK]

Common Mistakes:

• Not shrinking prefix correctly
• Comparing prefix with wrong substring
• Returning initial prefix without checks

5. Identify the bug in this Go function for longest common prefix and select the fix:

func longestCommonPrefix(strs []string) string {
    if len(strs) == 0 {
        return ""
    }
    prefix := strs[0]
    for _, s := range strs[1:] {
        for len(prefix) > 0 && s[:len(prefix)] != prefix {
            prefix = prefix[:len(prefix)-1]
        }
    }
    return prefix
}

medium

A. Add check that len(s) >= len(prefix) before s[:len(prefix)]

B. Initialize prefix as empty string instead of strs[0]

C. Change for loop to iterate over all strings including first

D. Return strs[0] directly without loop

Solution

1. Step 1: Analyze substring slicing in loop

   The code slices s[:len(prefix)] without checking if s is long enough, causing runtime panic if s is shorter than prefix.

2. Step 2: Fix by adding length check

   Adding condition len(s) >= len(prefix) before slicing prevents out-of-range error.

3. Final Answer:

   Add check that len(s) >= len(prefix) before s[:len(prefix)] -> Option A

4. Quick Check:

   Prevent slice out-of-range by length check [OK]

Hint: Always check slice length before slicing [OK]

Common Mistakes:

• Ignoring string length before slicing
• Changing prefix initialization unnecessarily
• Skipping loop over all strings