Welcome to our exciting TypeScript lesson! Today, you'll tackle a fascinating programming challenge that will enhance your problem-solving skills using TypeScript. This exercise involves working with arrays while employing advanced techniques like sorting and the two-pointer method. Let's dive right in!
Your challenge is to create a TypeScript function to work on two equally long arrays, A
and B
. The arrays have a length between 1 and 1000, and each element is a unique positive integer ranging from 1 to 1,000,000. Your task involves the following steps:
- For each element
B[i]
in the arrayB
, double its value to get2 * B[i]
. - Identify the closest number to
2 * B[i]
in arrayB
, naming itB[j]
. - For each index
i
, retrieve the value at indexj
in arrayA
and assign it to the new array. - Return a new array where each element corresponds to
A[j]
based on the closest value found inB
.
To illustrate this, let's consider an example:
TypeScript1const A: number[] = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110]; 2const B: number[] = [4, 12, 3, 9, 6, 1, 5, 8, 37, 25, 100];
After executing your function, the resulting array should appear as follows:
TypeScript1const result: number[] = [80, 100, 50, 20, 20, 60, 40, 20, 110, 90, 110];
Let's begin solving this problem by constructing a sorted structure for array B
. We'll use TypeScript type annotations to define an array of objects, where each object contains the elements (value
) from B
and their respective indices (index
).
Here’s how to start our TypeScript function with type annotations included:
TypeScript1type BElement = { value: number; index: number }; 2 3function findAndReplace(A: number[], B: number[]): number[] { 4 let B_sorted: BElement[] = []; 5 for (let i = 0; i < B.length; i++) { 6 B_sorted.push({ value: B[i], index: i }); 7 } 8 B_sorted.sort((a, b) => a.value - b.value);
In this section, we define BElement
to clearly structure B_sorted
as an array of objects with defined types, which aids in improving the readability and type safety of our code.
With our sorted array (B_sorted
) prepared, we proceed by initializing the right pointer, j
, and the result array, res
. These will assist in navigating within the bounds of B_sorted
and collecting our results, respectively. TypeScript enhances this process by providing type annotations for these variables.
TypeScript1 let j: number = 0; // TypeScript enforces number type for pointer 2 let res: number[] = new Array(A.length); // Result array with number type
The core logic of this problem is implemented here. Using a loop, we iterate over each element in B_sorted
. For every element, the function computes the target, which is twice the value of the current element. We adjust the position of the pointer j
to locate the closest number smaller than or equal to the target.
TypeScript1 for (let i = 0; i < B.length; i++) { 2 let target: number = 2 * B_sorted[i].value; // Calculate target number 3 while (j < B.length - 1 && B_sorted[j + 1].value < target) { 4 j++; // Adjust pointer to find closest number less than the target 5 } 6 if (j < B.length - 1 && 7 Math.abs(B_sorted[j + 1].value - target) < Math.abs(target - B_sorted[j].value)) { 8 j++; // Increment pointer if next number is closer to the target 9 }
Now, using the indices captured in B_sorted
, we modify the elements in A
to form our result array res
. TypeScript ensures that all operations adhere to the designated types.
TypeScript1 res[B_sorted[i].index] = A[B_sorted[j].index]; 2 // Align and assign the correct elements to the result array 3 } 4 5 return res; 6}
Here is the complete TypeScript solution for this task, which successfully implements the outlined logic:
TypeScript1type BElement = { value: number; index: number }; 2 3function findAndReplace(A: number[], B: number[]): number[] { 4 let B_sorted: BElement[] = []; 5 for (let i = 0; i < B.length; i++) { 6 B_sorted.push({ value: B[i], index: i }); 7 } 8 B_sorted.sort((a, b) => a.value - b.value); 9 10 let j: number = 0; // Pointer as a number type 11 let res: number[] = new Array(A.length); // Result array with number type 12 13 for (let i = 0; i < B.length; i++) { 14 let target: number = 2 * B_sorted[i].value; // Calculate target number 15 while (j < B.length - 1 && B_sorted[j + 1].value < target) { 16 j++; // Adjust pointer to find closest number 17 } 18 if (j < B.length - 1 && 19 Math.abs(B_sorted[j + 1].value - target) < Math.abs(target - B_sorted[j].value)) { 20 j++; // Increment pointer for closer match 21 } 22 res[B_sorted[i].index] = A[B_sorted[j].index]; 23 } 24 25 return res; 26} 27 28const A: number[] = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110]; 29const B: number[] = [4, 12, 3, 9, 6, 1, 5, 8, 37, 25, 100]; 30const result: number[] = findAndReplace(A, B); 31console.log(result); // Output: [80, 100, 50, 20, 20, 60, 40, 20, 110, 90, 110].
Congratulations on completing the lesson! You have successfully translated a complex problem into TypeScript, utilizing its robust type system to create type-safe arrays and pointers. The use of advanced programming techniques, like sorting and the two-pointer method, further enriched your TypeScript skills and solidified your understanding of functional problem-solving. We encourage you to continue practicing these techniques in varied scenarios to fully master them. Enjoy your coding journey with TypeScript!