Solving Leetcode Interviews in Seconds with AI: Number of Students Unable to Eat Lunch
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1700" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
The school cafeteria offers circular and square sandwiches at lunch break, referred to by numbers 0 and 1 respectively. All students stand in a queue. Each student either prefers square or circular sandwiches. The number of sandwiches in the cafeteria is equal to the number of students. The sandwiches are placed in a stack. At each step: If the student at the front of the queue prefers the sandwich on the top of the stack, they will take it and leave the queue. Otherwise, they will leave it and go to the queue's end. This continues until none of the queue students want to take the top sandwich and are thus unable to eat. You are given two integer arrays students and sandwiches where sandwiches[i] is the type of the ith sandwich in the stack (i = 0 is the top of the stack) and students[j] is the preference of the jth student in the initial queue (j = 0 is the front of the queue). Return the number of students that are unable to eat. Example 1: Input: students = [1,1,0,0], sandwiches = [0,1,0,1] Output: 0 Explanation: - Front student leaves the top sandwich and returns to the end of the line making students = [1,0,0,1]. - Front student leaves the top sandwich and returns to the end of the line making students = [0,0,1,1]. - Front student takes the top sandwich and leaves the line making students = [0,1,1] and sandwiches = [1,0,1]. - Front student leaves the top sandwich and returns to the end of the line making students = [1,1,0]. - Front student takes the top sandwich and leaves the line making students = [1,0] and sandwiches = [0,1]. - Front student leaves the top sandwich and returns to the end of the line making students = [0,1]. - Front student takes the top sandwich and leaves the line making students = [1] and sandwiches = [1]. - Front student takes the top sandwich and leaves the line making students = [] and sandwiches = []. Hence all students are able to eat. Example 2: Input: students = [1,1,1,0,0,1], sandwiches = [1,0,0,0,1,1] Output: 3 Constraints: 1 <= students.length, sandwiches.length <= 100 students.length == sandwiches.length sandwiches[i] is 0 or 1. students[i] is 0 or 1.
Explanation
Here's a breakdown of the solution:
- Simulate the Queue and Stack: The code simulates the queue of students and the stack of sandwiches, processing them step-by-step as described in the problem.
- Detect Stale State: It uses a counter to detect when the queue gets into a state where no student can take a sandwich. This happens when all remaining students have cycled through the front of the queue without finding a match.
Return Unfed Students: The number of students who couldn't eat is simply the remaining number of students in the queue at that point.
Runtime Complexity: O(N) in the average case, but can degrade to O(N^2) in the worst case where each student has to cycle around the queue many times, where N is the number of students/sandwiches.
- Storage Complexity: O(1), because we're modifying the input list in-place.
Code
def countStudents(students, sandwiches):
"""
Counts the number of students who are unable to eat.
Args:
students: A list of integers representing the students' preferences.
sandwiches: A list of integers representing the sandwiches in the stack.
Returns:
The number of students who are unable to eat.
"""
n = len(students)
i = 0
while students:
if students[0] == sandwiches[0]:
students.pop(0)
sandwiches.pop(0)
i = 0 # Reset stuck counter because progress was made
else:
students.append(students.pop(0)) # Move student to end of queue
i += 1
if i == len(students):
break
return len(students)