Dutch National Flag Three Way Partition in DSA Python - Time & Space Complexity

Time Complexity: Dutch National Flag Three Way Partition

O(n)

Understanding Time Complexity

We want to understand how the time needed to sort colors using the Dutch National Flag method changes as the list grows.

How does the number of steps grow when we have more items to sort?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

    def dutch_national_flag(arr):
        low, mid, high = 0, 0, len(arr) - 1
        while mid <= high:
            if arr[mid] == 0:
                arr[low], arr[mid] = arr[mid], arr[low]
                low += 1
                mid += 1
            elif arr[mid] == 1:
                mid += 1
            else:
                arr[mid], arr[high] = arr[high], arr[mid]
                high -= 1
    

This code sorts an array containing 0s, 1s, and 2s by grouping them in order.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The while loop that moves mid pointer through the array.
• How many times: Each element is visited at most once by mid, so up to n times where n is array length.

How Execution Grows With Input

As the array size grows, the number of steps grows roughly the same way because each element is checked once.

Input Size (n)	Approx. Operations
10	About 10 checks and swaps
100	About 100 checks and swaps
1000	About 1000 checks and swaps

Pattern observation: The work grows linearly with input size.

Final Time Complexity

Time Complexity: O(n)

This means the time to sort grows directly in proportion to the number of items.

Common Mistake

[X] Wrong: "Because there are nested ifs, the time is O(n²)."

[OK] Correct: The loop runs once per element, and swaps happen in constant time, so no nested loops cause repeated full passes.

Interview Connect

Knowing this linear time sorting method shows you can handle problems efficiently and is a great skill to demonstrate.

Self-Check

"What if the array contained more than three distinct values? How would the time complexity change?"

Practice

1. What is the main goal of the Dutch National Flag Three Way Partition algorithm?

easy

A. To sort an array in ascending order using bubble sort.

B. To find the maximum element in an array.

C. To rearrange an array so that all elements less than a pivot come first, followed by elements equal to the pivot, then elements greater than the pivot.

D. To reverse the elements of an array.

Solution

1. Step 1: Understand the partitioning goal

   The algorithm divides the array into three parts based on a pivot: less than, equal to, and greater than the pivot.

2. Step 2: Recognize the rearrangement process

   The array is rearranged so that all smaller elements come first, then equal, then larger elements.

3. Final Answer:

   To rearrange an array so that all elements less than a pivot come first, followed by elements equal to the pivot, then elements greater than the pivot. -> Option C

4. Quick Check:

   Partitioning = Rearranging by pivot [OK]

Hint: Remember: three parts - less, equal, greater [OK]

Common Mistakes:

• Confusing it with full sorting algorithms
• Thinking it only separates two groups
• Assuming it finds max or min values

2. Which of the following is the correct way to initialize pointers for the Dutch National Flag algorithm in Python?

easy

A. low = 0; mid = len(arr) - 1; high = 0

B. low = 1; mid = 1; high = len(arr)

C. low = len(arr); mid = 0; high = 0

D. low = 0; mid = 0; high = len(arr) - 1

Solution

1. Step 1: Identify correct pointer initialization

   In the algorithm, low and mid start at 0, and high starts at the last index (length - 1).

2. Step 2: Check each option

   low = 0; mid = 0; high = len(arr) - 1 correctly sets low=0, mid=0, high=len(arr)-1; others have invalid or reversed values.

3. Final Answer:

   low = 0; mid = 0; high = len(arr) - 1 -> Option D

4. Quick Check:

   Pointers start at array ends and middle [OK]

Hint: Start low and mid at 0, high at last index [OK]

Common Mistakes:

• Setting pointers outside array bounds
• Starting mid or low at wrong index
• Confusing high pointer initialization

3. What will be the output of the following code snippet?

def dnf_partition(arr, pivot):
    low, mid, high = 0, 0, len(arr) - 1
    while mid <= high:
        if arr[mid] < pivot:
            arr[low], arr[mid] = arr[mid], arr[low]
            low += 1
            mid += 1
        elif arr[mid] == pivot:
            mid += 1
        else:
            arr[mid], arr[high] = arr[high], arr[mid]
            high -= 1

arr = [2, 0, 2, 1, 1, 0]
dnf_partition(arr, 1)
print(arr)

medium

A. [0, 0, 1, 1, 2, 2]

B. [1, 1, 0, 0, 2, 2]

C. [2, 2, 1, 1, 0, 0]

D. [0, 1, 0, 1, 2, 2]

Solution

1. Step 1: Trace the partitioning process

   Initial array: [2, 0, 2, 1, 1, 0], pivot=1. The algorithm moves elements less than 1 to front, equal to middle, greater to end.

2. Step 2: Final array after partition

   After processing, array becomes [0, 0, 1, 1, 2, 2].

3. Final Answer:

   [0, 0, 1, 1, 2, 2] -> Option A

4. Quick Check:

   Partitioned array = [0, 0, 1, 1, 2, 2] [OK]

Hint: Swap less than pivot left, greater right [OK]

Common Mistakes:

• Not swapping correctly when arr[mid] > pivot
• Incrementing mid incorrectly after swap
• Confusing pivot equality handling

4. Identify the error in this Dutch National Flag partition code:

def dnf(arr, pivot):
    low, mid, high = 0, 0, len(arr) - 1
    while mid < high:
        if arr[mid] < pivot:
            arr[low], arr[mid] = arr[mid], arr[low]
            low += 1
            mid += 1
        elif arr[mid] == pivot:
            mid += 1
        else:
            arr[mid], arr[high] = arr[high], arr[mid]
            high -= 1

medium

A. The while loop condition should be 'mid <= high' instead of 'mid < high'.

B. Pointers low and mid are initialized incorrectly.

C. The swap operation for elements less than pivot is missing.

D. The pivot value is not used in comparisons.

Solution

1. Step 1: Analyze the loop condition

   The loop uses 'mid < high', which misses processing when mid equals high, leaving last element unchecked.

2. Step 2: Correct loop condition

   Changing to 'mid <= high' ensures all elements are processed including the last one.

3. Final Answer:

   The while loop condition should be 'mid <= high' instead of 'mid < high'. -> Option A

4. Quick Check:

   Loop must cover all elements [OK]

Hint: Use 'mid <= high' to cover all elements [OK]

Common Mistakes:

• Using '<' instead of '<=' in loop condition
• Forgetting to increment mid after swaps
• Incorrect pointer initialization

5. Given an array with elements 0, 1, and 2 representing colors red, white, and blue respectively, how would you modify the Dutch National Flag algorithm to sort the array in-place so that all reds come first, whites second, and blues last? Choose the best approach.

hard

A. Sort the array using built-in sort function for simplicity.

B. Use three pointers low, mid, high; swap elements less than 1 to front, equal to 1 stay in middle, greater than 1 to end.

C. Use two pointers only, swapping elements randomly until sorted.

D. Count the number of 0s, 1s, and 2s, then overwrite the array with counted values.

Solution

1. Step 1: Understand the problem context

   We want to sort colors represented by 0,1,2 in order red(0), white(1), blue(2) using Dutch National Flag algorithm.

2. Step 2: Apply three-pointer partitioning

   Using low, mid, high pointers and pivot=1, swap elements less than 1 to front, equal stay middle, greater to end achieves in-place sorting efficiently.

3. Final Answer:

   Use three pointers low, mid, high; swap elements less than 1 to front, equal to 1 stay in middle, greater than 1 to end. -> Option B

4. Quick Check:

   Three-pointer partition sorts colors in one pass [OK]

Hint: Use pivot=1 and three pointers for one-pass sorting [OK]

Common Mistakes:

• Using built-in sort instead of in-place partition
• Trying two pointers only, which is insufficient
• Counting and overwriting instead of partitioning