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This approach leverages operator overloading (or language-specific methods) to define how instances of ArrayWrapper behave when used with the '+' operator and the String conversion function. We'll override/add appropriate methods to customize these operations:
ArrayWrapper instances.Time Complexity: O(n + m), where n and m are the lengths of the two arrays in the instances being added.
Space Complexity: O(1), as we do not use any additional space.
In C, we use a struct to represent the ArrayWrapper and provide functions for adding the arrays and converting the array to a string. Since C does not support operator overloading, explicit function calls are used for operations.
This approach focuses on languages that support the implementation of interfaces to achieve the desired functionality. We utilize relevant interfaces or methods required to override the behavior of arithmetic operations and object-to-string conversion.
Time Complexity: O(n + m), for summing elements of both arrays.
Space Complexity: O(1), no additional space required.
1class ArrayWrapper:
2 def __init__(self, nums):
3 self.nums = nums
4
5 def add(self, other):
6 return sum(self.nums) + sum(other.nums)
7
8 def to_string(self):
9 return str(self.nums)
10
11# Usage Example
12obj1 = ArrayWrapper([1,2])
13obj2 = ArrayWrapper([3,4])
14print(obj1.add(obj2)) # Output: 10
15print(obj1.to_string()) # Output: [1, 2]This Python approach assumes an interface-like setup using methods, providing add and to_string methods to implement addition and string conversion respectively.