Count Inversions in Array in DSA Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is an inversion in an array?

An inversion is a pair of elements where the first element is greater than the second element, but the first element appears before the second in the array.

beginner

Why do we count inversions in an array?

Counting inversions helps measure how far the array is from being sorted. It is useful in sorting algorithms and understanding array disorder.

beginner

What is the naive way to count inversions in an array?

Check every pair of elements and count if the first is greater than the second. This takes O(n²) time for an array of size n.

intermediate

How does the merge sort method help count inversions efficiently?

During merge sort, while merging two sorted halves, we count how many elements from the right half are placed before elements from the left half. This counts inversions in O(n log n) time.

intermediate

What is the time complexity of counting inversions using merge sort?

The time complexity is O(n log n), where n is the size of the array.

What does an inversion in an array represent?

A A pair where the first element is smaller and appears before the second

B Any two elements in the array

C Two equal elements in the array

D A pair where the first element is greater and appears before the second

An inversion is specifically when a larger element appears before a smaller one.

What is the time complexity of the naive method to count inversions?

A O(n)

B O(n log n)

C O(n²)

D O(log n)

The naive method checks all pairs, leading to O(n²) time.

Which sorting algorithm is commonly used to count inversions efficiently?

A Merge Sort

B Insertion Sort

C Bubble Sort

D Selection Sort

Merge Sort can count inversions during the merge step efficiently.

During merge sort, when do we count inversions?

A When merging two sorted halves

B After sorting completes

C Before sorting starts

D When splitting the array

Inversions are counted while merging two sorted halves.

What does a high number of inversions in an array indicate?

A The array is nearly sorted

B The array is highly unsorted

C The array is completely sorted

D The array has duplicates

More inversions mean the array is more unsorted.

Explain how merge sort can be used to count inversions in an array.

Think about how merging two sorted lists can reveal inversions.

Describe the difference between the naive and efficient methods to count inversions.

Focus on time complexity and approach.

Practice

1. What does the term inversion in an array mean?

easy

A. A pair of elements where the first is smaller than the second and appears before it

B. A pair of elements where the first is greater than the second and appears before it

C. The total number of elements in the array

D. The sum of all elements in the array

Solution

1. Step 1: Understand the definition of inversion

   An inversion is when a larger number appears before a smaller number in the array.

2. Step 2: Compare options with definition

   A pair of elements where the first is greater than the second and appears before it correctly describes this pair condition, others do not.

3. Final Answer:

   A pair of elements where the first is greater than the second and appears before it -> Option B

4. Quick Check:

   Inversion = larger before smaller [OK]

Hint: Inversion means bigger number comes before smaller one [OK]

Common Mistakes:

• Confusing inversion with sorted order
• Thinking inversion counts equal elements
• Mixing up element positions

2. Which of the following Python code snippets correctly counts inversions using a simple nested loop?

easy

A. count = 0
for i in range(len(arr)):
for j in range(i+1, len(arr)):
if arr[i] > arr[j]:
count += 1

B. count = 0
for i in range(len(arr)):
for j in range(i):
if arr[i] > arr[j]:
count += 1

C. count = 0
for i in range(len(arr)):
for j in range(i+1, len(arr)):
if arr[i] < arr[j]:
count += 1

D. count = 0
for i in range(len(arr)):
for j in range(i+1, len(arr)):
if arr[i] == arr[j]:
count += 1

Solution

1. Step 1: Check the loop ranges and condition

   count = 0 for i in range(len(arr)): for j in range(i+1, len(arr)): if arr[i] > arr[j]: count += 1 loops i from 0 to end and j from i+1 to end, comparing arr[i] > arr[j]. This matches inversion definition.

2. Step 2: Verify other options

   count = 0 for i in range(len(arr)): for j in range(i): if arr[i] > arr[j]: count += 1 checks arr[i] > arr[j] but loops j before i, counting later > earlier which is incorrect. count = 0 for i in range(len(arr)): for j in range(i+1, len(arr)): if arr[i] < arr[j]: count += 1 counts when arr[i] < arr[j], which is not inversion. count = 0 for i in range(len(arr)): for j in range(i+1, len(arr)): if arr[i] == arr[j]: count += 1 counts equal elements, not inversions.

3. Final Answer:

   count = 0 for i in range(len(arr)): for j in range(i+1, len(arr)): if arr[i] > arr[j]: count += 1 -> Option A

4. Quick Check:

   Nested loops with arr[i] > arr[j] count inversions [OK]

Hint: Use nested loops with j > i and check arr[i] > arr[j] [OK]

Common Mistakes:

• Checking arr[i] < arr[j] instead of >
• Looping j before i
• Counting equal elements as inversions

3. What is the output of the following code?

def count_inversions(arr):
    count = 0
    for i in range(len(arr)):
        for j in range(i+1, len(arr)):
            if arr[i] > arr[j]:
                count += 1
    return count

print(count_inversions([2, 4, 1, 3, 5]))

medium

A. 5

B. 4

C. 2

D. 3

Solution

1. Step 1: Identify all inversion pairs in the array

   Array: [2, 4, 1, 3, 5]. Inversions are (2,1), (4,1), (4,3). Total 3 inversions.

2. Step 2: Confirm code counts these correctly

   Code loops through pairs and increments count for each inversion found, so returns 3.

3. Final Answer:

   3 -> Option D

4. Quick Check:

   Count inversions in [2,4,1,3,5] = 3 [OK]

Hint: Count pairs where earlier number is bigger [OK]

Common Mistakes:

• Missing some inversion pairs
• Counting pairs with equal elements
• Confusing order of pairs

4. Find the error in this code snippet for counting inversions:

def count_inversions(arr):
    count = 0
    for i in range(len(arr)):
        for j in range(i):
            if arr[i] > arr[j]:
                count += 1
    return count

print(count_inversions([3, 1, 2]))

medium

A. The inner loop should start from i+1, not 0 to i

B. The count variable is not initialized

C. The comparison should be arr[i] < arr[j] instead of arr[i] > arr[j]

D. The function does not return any value

Solution

1. Step 1: Analyze loop ranges and comparison

   Inner loop runs j from 0 to i-1, so j < i. The code checks if arr[i] > arr[j], counting pairs where later element is bigger.

2. Step 2: Identify correct inversion condition

   Inversion means earlier element is bigger than later one, so condition should be arr[j] > arr[i]. Current condition is reversed, causing wrong count.

3. Final Answer:

   The comparison should be arr[i] < arr[j] instead of arr[i] > arr[j] -> Option C

4. Quick Check:

   Inversion needs earlier > later, fix comparison [OK]

Hint: Check if earlier element is greater, not later [OK]

Common Mistakes:

• Reversing comparison operator
• Wrong loop ranges causing missed pairs
• Not returning count

5. Given the array [8, 4, 2, 1], what is the number of inversions? Also, explain why this count represents the worst case for inversion counting algorithms.

hard

A. 6; because the array is sorted in descending order, all pairs are inversions

B. 4; because only adjacent pairs are inversions

C. 0; because the array is sorted ascending

D. 3; because only some pairs are inversions

Solution

1. Step 1: Count all inversion pairs in the array

   Array: [8, 4, 2, 1]. Inversions: (8,4), (8,2), (8,1), (4,2), (4,1), (2,1) = 6 total.

2. Step 2: Explain why this is worst case

   Array sorted descending means every pair is inverted. Algorithms checking pairs must count all, causing maximum work.

3. Final Answer:

   6; because the array is sorted in descending order, all pairs are inversions -> Option A

4. Quick Check:

   Descending array has max inversions = n(n-1)/2 [OK]

Hint: Descending order array has max inversions n(n-1)/2 [OK]

Common Mistakes:

• Counting only adjacent pairs
• Confusing ascending with descending
• Not recognizing worst case scenario