Problem Description
Given a deeply nested object or array, the task is to traverse the entire structure and replace any occurrence of the undefined value with null. This ensures that when converting the object to JSON (using JSON.stringify), no unexpected omissions occur because undefined values are handled differently.
Key Insights
- The problem requires a complete traversal of a nested data structure which can contain objects and arrays.
- A recursive approach is well-suited because of the unknown depth and mixed types (objects and arrays).
- It's important to differentiate between undefined values and null values, and only replace undefined.
- Edge cases include handling nested arrays, objects, and mixed types.
- The input is assumed to be valid JSON object or array.
Space and Time Complexity
Time Complexity: O(n), where n is the total number of elements (properties and array items) in the structure. Space Complexity: O(n) in the worst-case scenario due to recursion stack and auxiliary space used for traversal.
Solution
The solution uses recursion to traverse the nested structure. It checks the type of the current element:
- If it is an object, iterate over its own keys. For each property, if its value is undefined, set it to null; if it is an object or array, recursively process it.
- If it is an array, loop through each item and perform similar checks as with objects.
- Direct values other than objects, arrays, or undefined are returned without modifications. This recursive traversal ensures that all nested occurrences of undefined are replaced with null.