2553. Separate the Digits in an Array

EasyArraySimulation
Leetcode Link

Problem Description

The given problem provides an array of positive integers, nums. The objective is to produce a new array, answer, containing all the individual digits of each number in the original array, with the digits appearing in the same order as they do in those integers. Effectively, the process involves 'separating' the digits of each integer in nums. For example, if you have an integer 10921, you separate its digits to get the sequence [1,0,9,2,1]. It is like 'unpacking' each number into its constituent digits and listing them in sequence.

Intuition

To solve this problem, we can break it down into a few manageable steps. Here's how we can think about the approach:

  1. We iterate through each number in the nums array since we need to process each number individually.
  2. For each integer, we need to separate its digits. A standard way to do this is by continually dividing the number by 10 and collecting the remainders. This process will give us the digits in reverse order.
  3. We capture the reverse of the individual digits of an integer in a temporary list to preserve the correct order.
  4. After reversing, we append the individual digits into the answer list.
  5. We repeat this process for each integer in nums until we have processed all integers and collected all their digits, preserving the original order.

The intuition behind this approach is recognizing that dividing an integer by 10 and taking the remainder gives us its last digit. By continually doing this, we get the digits in reverse. We use a temporary list for each number to reverse the order of the digits, then concatenate it to our answer list. By iterating through all numbers in nums and concatenating their digit lists, we achieve the required separation of digits while maintaining their original sequence.

Not Sure What to Study? Take the 2-min Quiz to Find Your Missing Piece：

Given an array of 1,000,000 integers that is almost sorted, except for 2 pairs of integers. Which algorithm is fastest for sorting the array?

Solution Approach

The solution uses a simple algorithm and basic Python list operations to achieve the desired result. Here's a step-by-step breakdown of the solution implementation:

  1. An empty list called ans is created. This list will contain the final sequence of all individual digits from each number in nums.

  2. The process begins by iterating over each number (x) in the nums array using a for loop.

  3. Within each iteration, a temporary list called t is created to hold the digits of the current number (x) in reverse order.

  4. A while loop runs as long as the current number (x) is greater than zero. Inside this loop:

    • The expression x % 10 is used to get the last digit of x.
    • This digit is appended to the temporary list t.
    • The number x is then divided by 10 (using floor division x //= 10) to remove its last digit.

  5. After the while loop exits (meaning x is now zero and all digits have been processed), the list t contains the digits of x in reverse order. To correct the order, we reverse t using t[::-1].

  6. The reversed list of digits is then extended into the ans list with ans.extend(t[::-1]). This means the digits of x are now added to ans in the correct order.

  7. Steps 3 to 6 are repeated for each number in the nums array.

  8. After the for loop completes, the ans list, now containing the individual digits of all the numbers in their correct order, is returned as the result.

Notice how the code makes use of modulo and floor division operations to separate the digits, and list operations like append and extend to collect digits in the correct order. Using these operations and control structures effectively, the code walks through each integer, extracts its digits, and assembles the final answer, while maintaining both the inner order of the digits in each number and overall order in which the numbers appear in the input list.

Discover Your Strengths and Weaknesses: Take Our 2-Minute Quiz to Tailor Your Study Plan:

Which algorithm should you use to find a node that is close to the root of the tree?

Example Walkthrough

Let's take a simple example to illustrate the solution approach. Consider an array nums = [123, 45]. We want to create an array that 'unpacks' each of these numbers into its individual digits [1, 2, 3, 4, 5].

Here is how the solution will walk through this example:

  1. An empty list ans is created to store the answer.

  2. We start with the first number in the nums array, which is 123.

  3. A temporary list t is initialized to hold the digits of 123 in reverse order.

  4. We enter a while loop because 123 is greater than zero. Inside the loop:

    • We calculate 123 % 10 which equals 3. We append 3 to the list t.
    • We then divide 123 by 10 using floor division, so 123 becomes 12.

  5. The loop runs again because 12 is still greater than zero.

    • Calculating 12 % 10 gives us 2. We append 2 to t.
    • Floor division of 12 by 10 reduces it to 1.

  6. The loop runs a final time with the value of 1.

    • We append 1 % 10 (which is 1) to t.
    • Floor division of 1 by 10 gives us 0, and the loop exits as x is now zero.

  7. The list t now contains [3, 2, 1]. We reverse it to get [1, 2, 3] and extend ans by this list.

  8. Now we move to the second number, 45, and repeat steps 3 to 7.

    • t starts empty, we add 5 then 4 after iterations of the loop.
    • We reverse [5, 4] to get [4, 5] and extend it to ans.

  9. At the end of the iteration, ans now contains [1, 2, 3, 4, 5].

  10. We return the ans list as the result.

This walk-through shows how the algorithm correctly takes each integer in the array nums and breaks it down into individual digits, preserving the order within and between the numbers in the array.

Solution Implementation

1from typing import List
2
3class Solution:
4    def separateDigits(self, nums: List[int]) -> List[int]:
5        # Initialize an empty list to store the result
6        result = []
7      
8        # Iterate over each number in the input list
9        for number in nums:
10            # Initialize a temporary list to store the digits of the current number
11            temp = []
12          
13            # Loop to separate out each digit of the current number
14            while number:
15                # Append the last digit to the temporary list
16                temp.append(number % 10)
17                # Remove the last digit from the current number
18                number //= 10
19          
20            # Reverse the temporary list because digits are stored from least significant to most significant
21            # Then extend the result list with the reversed list of digits
22            result.extend(temp[::-1])
23      
24        # Return the result list containing all digits in order
25        return result
26
27# Example usage:
28# solution = Solution()
29# print(solution.separateDigits([123, 456])) # Output would be [1, 2, 3, 4, 5, 6]
30
1class Solution {
2  
3    // Method to separate digits of each number in an array and return a new array with all the digits
4    public int[] separateDigits(int[] nums) {
5      
6        // Initialize a list to hold individual digits
7        List<Integer> result = new ArrayList<>();
8      
9        // Iterate over each number in the input array
10        for (int number : nums) {
11          
12            // List to temporarily hold the digits of the current number
13            List<Integer> digits = new ArrayList<>();
14          
15            // Extract digits from the number and add them to the temporary list
16            while (number > 0) {
17                int digit = number % 10; // get the last digit
18                digits.add(digit); // add digit to the list
19                number /= 10; // remove the last digit from the number
20            }
21          
22            // Since digits are collected in reverse order, reverse the list to correct the order
23            Collections.reverse(digits);
24          
25            // Add all the digits to the result list
26            result.addAll(digits);
27        }
28      
29        // Convert the List<Integer> to an int array
30        int[] answer = new int[result.size()];
31        for (int i = 0; i < answer.length; i++) {
32            answer[i] = result.get(i); // Retrieve each integer from result list and store it in the array
33        }
34      
35        // Return the array with separated digits
36        return answer;
37    }
38}
39
1#include <vector> // Include the necessary header for std::vector
2
3class Solution {
4public:
5    // Function to separate digits of numbers in a vector and return them as a new vector
6    vector<int> separateDigits(vector<int>& nums) {
7        vector<int> result; // This will store the final sequence of digits
8      
9        // Loop through all numbers in the input vector
10        for (int number : nums) {
11            vector<int> temp; // Temporary vector to store the digits of the current number
12          
13            // Extract digits of the current number from the end to the start
14            for (; number != 0; number /= 10) { // Continue until the number is 0
15                temp.push_back(number % 10); // Get the last digit and push it into temp
16            }
17          
18            // While there are still digits in the temp vector
19            while (!temp.empty()) {
20                result.push_back(temp.back()); // Add the last digit from temp to the result vector
21                temp.pop_back(); // Remove the last element from temp
22            }
23        }
24      
25        return result; // Return the final digit sequence
26    }
27};
28
1function separateDigits(nums: number[]): number[] {
2    // We will store the final array of separated digits here
3    const separatedDigits: number[] = [];
4
5    // Iterate over each number in the array
6    for (let num of nums) {
7        // Temporary array to store the digits of the current number
8        const digits: number[] = [];
9
10        // Extract digits of the current number and add them to the 'digits' array
11        while (num > 0) {
12            // Get the last digit of 'num' by modulo 10 (num % 10)
13            digits.push(num % 10);
14            // Remove the last digit from 'num'
15            num = Math.floor(num / 10);
16        }
17
18        // 'digits' array is in reverse order, so we reverse it to maintain the original order
19        separatedDigits.push(...digits.reverse());
20    }
21  
22    // Return the array containing all the separated digits in correct order
23    return separatedDigits;
24}
25
Not Sure What to Study? Take the 2-min Quiz：

Which of the following is the prefix sum of array [1, 2, 3, 4, 5]?

Time and Space Complexity

The time complexity of the given code can be analyzed as follows:

  • There is a loop that iterates over each number in the input list nums.
  • For each number, the inner while loop executes once for each digit in the number. So if a number x has k digits, the while loop iterates k times.

Considering an input list with n numbers, and each number has an average of d digits, the total operations for separating digits of all numbers would be O(n * d). Therefore, the time complexity is O(n * d).

The space complexity is determined by:

  • The list ans that holds the individual digits of all numbers. In the worst case, it will hold all n * d digits from all numbers in the input list.
  • The temporary list t that stores the digits of a single number in reverse. Since it's reused for each number and extends the ans list immediately after, it doesn't increase the maximal memory footprint with respect to the number of total digits.

Given space is generally calculated in terms of the additional space required by the algorithm, not including the space for the input itself. The space complexity of the given algorithm is O(n * d) as the ans list may hold all digits of all numbers, though in practice, only the maximum number of digits in a single number is simultaneously held in the temporary list t.

In conclusion, the time complexity is O(n * d) and the space complexity is O(n * d).

Learn more about how to find time and space complexity quickly using problem constraints.

Fast Track Your Learning with Our Quick Skills Quiz:

In a binary min heap, the maximum element can be found in:

Recommended Readings

LeetCode Patterns - Top Patterns for Coding Interviews

Top Patterns to Conquer the Technical Coding Interview Should the written word bore you fear not A delightful video alternative awaits iframe width 560 height 315 src https www youtube com embed LW8Io6IPYHw title YouTube video player frameborder 0 allow accelerometer autoplay clipboard write encrypted media gyroscope picture in picture

Recursion Review

Recursion Recursion is one of the most important concepts in computer science Simply speaking recursion is the process of a function calling itself Using a real life analogy imagine a scenario where you invite your friends to lunch https algomonster s3 us east 2 amazonaws com recursion jpg You first

Runtime to Algo Cheat Sheet

Runtime Overview When learning about algorithms and data structures you'll frequently encounter the term time complexity This concept is fundamental in computer science and offers insights into how long an algorithm takes to complete given a certain input size What is Time Complexity Time complexity represents the amount of time

Got a question? Ask the Teaching Assistant anything you don't understand.

Still not clear? Ask in the Forum,  Discord or Submit the part you don't understand to our editors.

←
↑TA 👨‍🏫