
Problem Statement
The goal is to enhance array functionality by adding a method named array.groupBy(fn)
. This method will transform an array into an object where each key corresponds to the result of a provided function fn
applied to each item in the array. Each key in the resulting object will map to an array of elements that, when passed to fn
, produce that key. The callback function fn
takes an element of the array and returns a string, which is then used as a key. The sequence of elements within these grouped arrays should reflect their original order in the input array. The requirement is to accomplish this without using lodash's _.groupBy
utility.
Examples
Example 1
Input:
array = [ {"id":"1"}, {"id":"1"}, {"id":"2"} ], fn = function (item) { return item.id; }
Output:
{ "1": [{"id": "1"}, {"id": "1"}], "2": [{"id": "2"}] }
Explanation:
Output is from array.groupBy(fn). The selector function gets the "id" out of each item in the array. There are two objects with an "id" of 1. Both of those objects are put in the first array. There is one object with an "id" of 2. That object is put in the second array.
Example 2
Input:
array = [ [1, 2, 3], [1, 3, 5], [1, 5, 9] ] fn = function (list) { return String(list[0]); }
Output:
{ "1": [[1, 2, 3], [1, 3, 5], [1, 5, 9]] }
Explanation:
The array can be of any type. In this case, the selector function defines the key as being the first element in the array. All the arrays have 1 as their first element so they are grouped together. { "1": [[1, 2, 3], [1, 3, 5], [1, 5, 9]] }
Example 3
Input:
array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] fn = function (n) { return String(n > 5); }
Output:
{ "true": [6, 7, 8, 9, 10], "false": [1, 2, 3, 4, 5] }
Explanation:
The selector function splits the array by whether each number is greater than 5.
Constraints
0 <= array.length <= 105
fn
returns a string
Approach and Intuition
Initialization: We begin by defining the method
groupBy
on the Array prototype. This allows all array instances to access this method directly.Method Definition:
- The method should take a function
fn
as an argument. This function is applied to each element of the array to determine the key under which the element will be grouped. - We initialize an empty object that will eventually be populated with keys and arrays as values.
- The method should take a function
Iterating Over Elements:
- As we iterate through the array, for each element, we apply
fn
to generate a key. - If the key does not exist in our object, we initialize a new array for that key.
- We then append the current element to the array that corresponds to this key.
- As we iterate through the array, for each element, we apply
Order Preservation: By simply appending elements to the arrays in the order they appear and using the resulting grouping directly from this iteration, we ensure that the order of elements in subarrays matches their original order in the input array.
Performance Considerations:
- The solution requires efficient look-ups and insertions as it processes each element of the array once, leading to a run-time complexity of O(n), where n is the number of elements in the array.
- Memory complexity is also O(n) in the worst-case scenario, where each item forms its own group.
Edge Cases:
- The method should correctly handle the case of an empty array.
- It should manage arrays with different data types since
fn
is expected to handle the logic of key extraction and should return a valid string key no matter the input type.
By extending the prototype of Array, this method will be universally available to all array instances, making it flexible and easy to use in various contexts as demonstrated in the examples. This approach sticks to JavaScript's dynamic nature, allowing for versatile key generation strategies determined by the function fn
.
Solutions
- JavaScript
Array.prototype.clusterBy = function(fn) {
return this.reduce((collector, element) => {
const key = fn(element);
collector[key] = collector[key] || [];
collector[key].push(element);
return collector;
}, {});
};
This JavaScript solution adds a method called clusterBy
to the prototype of the Array object, allowing any array to use this method to group its elements based on a specified criterion. The function accepts a single argument fn
, which is a function that determines the key under which to group elements.
The core of this method is the use of the reduce
function on the array:
- The
reduce
function accumulates a result in an object (collector
). - For each element in the array, it calls the
fn
function to determine under which key (key
) in thecollector
object to group the element. - If the
key
does not already exist incollector
, it initializes it with an empty array. - It then pushes the current element to the array associated with that
key
. - Finally, it returns the
collector
object, which now represents the array grouped by the criteria defined byfn
.
This method is useful for organizing data within an array into sub-arrays based on shared characteristics or criteria determined by the function fn
.
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