In my new scenario, you are a group of developers who specialize in crafting AI-powered teaching tools and have been tasked with developing two-page academic paper that assesses the impacts of varying degrees of complexity on the effectiveness of using Python's `eval` function for solving complex mathematical problems. For this, you are to write a detailed outline for an abstract, including all elements I instructed earlier about how to format it: You need help with my code. I have some text that contains words with different cases and case sensitivity, but they should be in lowercase letters and the numbers written as capitalized names (e.g. B = 10). The program should not only count down a list of n objects, but rather compute the total sum of their first digits. To make this task challenging to implement, you must develop an algorithm that works in constant time complexity with respect to its size and efficiency of processing (i.e., O(n^2) for a given array A[0...N] where n is the number of elements in A. The program should also use a binary search strategy to find two unique numbers in each row of A, as well as considerations about how to divide the problem into small subproblems if the input size Software Requirements: Write python code that calculates the sum of the first digits of the elements in an array using a binary search algorithm. This algorithm should be able to handle arrays with lengths ranging from n = [1, ... ,n] where "a" and "b" are constants given at the start (i.e., A=0 for every case). The solution must satisfy all of these constraints: Here is an example array of integers in ascending order that we would like you to operate on; it has four elements: [2,4,8]. This should give a sum of first digits equal to what?