How would you devise a function to divide an array of colors into two arrays, one with unique and the other with duplicate colors, while optimizing for algorithmic efficiency?

How would you devise a function to divide an array of colors into two arrays, one with unique and the other with duplicate colors, while optimizing for algorithmic efficiency?

What method would you use to separate an array of colors into two arrays for unique and duplicate colors, ensuring efficient iteration and optimal algorithmic complexity?

Can you create a function that splits a color array into unique and duplicate arrays, and explain how to do this efficiently in terms of big O complexity?

How do you plan to write a function that categorizes an array of colors into two groups, unique and duplicate, optimizing for computational efficiency?

Could you outline a process to divide an array of colors into two, segregating unique and duplicate colors, while considering algorithmic performance?

What strategy would you employ to split a color array into unique and duplicate arrays, focusing on efficient element identification and optimal algorithmic complexity?

How would you approach writing a function that bifurcates a color array into unique and duplicate sets, ensuring efficient iteration and algorithmic optimization?

Can you explain how to partition an array of colors into two - one for unique colors and another for duplicates - with an eye on efficient processing and algorithmic complexity?

What's your technique for dividing an array of colors into two separate arrays for unique and repeated colors, optimizing the process for algorithmic efficiency?

Given an array of colors, write a function to split the array into two separate arrays: one containing unique colors and the other containing duplicate colors. Discuss the approach you would take to efficiently iterate over the array and identify unique and duplicate elements. Optimize them in terms of their algorithmic complexity (big O).