Adaptive Algorithm Selector

This challenge asks you to build a Javascript function that dynamically selects the best algorithm from a provided set to solve a given problem based on the input data's characteristics. Adaptive algorithm selection is crucial in scenarios where different algorithms perform optimally under varying conditions, allowing for efficient and robust solutions. Your function should analyze the input and choose the most suitable algorithm from a predefined pool.

Problem Description

You are tasked with creating a Javascript function called adaptiveAlgorithmSelector that takes three arguments:

1. algorithms: An array of functions. Each function in this array represents a different algorithm. Each algorithm function should accept a single argument (the input data) and return a result.
2. inputData: The data that needs to be processed. The type of this data can vary (number, string, array, object, etc.).
3. selectorFunction: A function that takes the inputData as an argument and returns a string representing a key or characteristic of the data. This key is used to determine which algorithm to select.

The adaptiveAlgorithmSelector function should analyze the inputData using the selectorFunction, determine the appropriate algorithm based on the returned key, and then execute the selected algorithm with the inputData. Finally, it should return the result of the selected algorithm.

If the selectorFunction returns a key that doesn't correspond to any algorithm in the algorithms array, the function should return null.

Key Requirements:

• The function must correctly identify the appropriate algorithm based on the selectorFunction's output.
• The function must execute the selected algorithm with the provided inputData.
• The function must return the result of the selected algorithm.
• The function must handle the case where the selectorFunction returns an unknown key gracefully (returning null).

Expected Behavior:

The function should iterate through the algorithms array, comparing the selectorFunction's output to a property (e.g., key) associated with each algorithm. When a match is found, the corresponding algorithm function is executed with the inputData, and its result is returned.

Examples

Example 1:

Input:
algorithms: [
  { key: 'small', algorithm: (data) => data * 2 },
  { key: 'large', algorithm: (data) => data + 10 }
]
inputData: 5
selectorFunction: (data) => (data < 10 ? 'small' : 'large')

Output: 10
Explanation: The selectorFunction returns 'small' because 5 is less than 10. The algorithm with key 'small' is selected, which multiplies the input data (5) by 2, resulting in 10.

Example 2:

Input:
algorithms: [
  { key: 'even', algorithm: (data) => data / 2 },
  { key: 'odd', algorithm: (data) => data * 3 }
]
inputData: 7
selectorFunction: (data) => (data % 2 === 0 ? 'even' : 'odd')

Output: 21
Explanation: The selectorFunction returns 'odd' because 7 is odd. The algorithm with key 'odd' is selected, which multiplies the input data (7) by 3, resulting in 21.

Example 3: (Edge Case)

Input:
algorithms: [
  { key: 'positive', algorithm: (data) => data + 1 },
  { key: 'negative', algorithm: (data) => data - 1 }
]
inputData: -5
selectorFunction: (data) => (data >= 0 ? 'positive' : 'negative')

Output: -6
Explanation: The selectorFunction returns 'negative' because -5 is negative. The algorithm with key 'negative' is selected, which subtracts 1 from the input data (-5), resulting in -6.

Constraints

• The algorithms array will contain at least one algorithm.
• Each algorithm in the algorithms array will be an object with a key property (string) and an algorithm property (function).
• The selectorFunction will always return a string.
• The algorithm functions are assumed to be safe and will not throw errors for valid input.
• The input data type can be anything.
• The performance of the adaptiveAlgorithmSelector function should be reasonably efficient, with a time complexity of O(n), where n is the number of algorithms in the algorithms array.

Notes

• Consider using a for...of loop or Array.find() to iterate through the algorithms array.
• The selectorFunction is the key to the adaptive behavior; ensure it accurately reflects the data's characteristics.
• Think about how to handle cases where the selectorFunction returns a key that doesn't match any algorithm. Returning null is a reasonable approach.
• The key property in the algorithm objects is used for matching. Ensure the selectorFunction returns values that align with these keys.