Daily Competitive Programming Questions
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Here are some hints to help you tackle this problem:

**Hint 1:** Think about how you can partition the array into three parts: elements less than the pivot, elements equal to the pivot, and elements greater than the pivot. This will help you satisfy the conditions mentioned in the problem statement.

**Hint 2:** Consider using a two-pointer approach. One pointer can start from the beginning of the array and move towards the end, while the other pointer can start from the end of the array and move towards the beginning. This will allow you to efficiently partition the array into the three parts.

**Hint 3:** When iterating through the array, keep track of the number of elements less than the pivot and the number of elements greater than the pivot. This will help you determine when to stop moving the pointers.

**Hint 4:** Think about how you can use the relative order of the elements less than and greater than the pivot to your advantage. For example, if you find an element that is less than the pivot, you can move the first pointer forward and update the count of elements less than the pivot. Similarly, if you find an element that is greater than the pivot, you can move the second pointer backward and update the count of elements greater than the pivot
Here are some helpful hints to tackle this problem:

**Hint 1:** Start by thinking about how you can separate the array into three parts: elements less than the pivot, elements equal to the pivot, and elements greater than the pivot. How can you efficiently achieve this separation?

**Hint 2:** Consider using a two-pointer approach. Initialize two pointers, one at the beginning of the array and one at the end. How can you move these pointers to separate the array into the three parts?

**Hint 3:** Think about how you can maintain the relative order of elements less than and greater than the pivot. How can you ensure that elements with the same value as the pivot are placed in the correct position?

**Hint 4:** Don't forget to consider the edge cases! What happens when the pivot is the smallest or largest element in the array? How can you handle these special cases?

**Hint 5:** Finally, think about how you can combine the three parts to form the final rearranged array. Can you use a simple loop or a more complex data structure to achieve this?

By breaking down the problem into smaller sub-problems and using a combination of these hints, you should be able to come up with a creative solution to this problem!