Reversing Deli Orders - codepath/compsci_guides GitHub Wiki
TIP102 Unit 7 Session 1 Advanced (Click for link to problem statements)
Problem 2: Reversing Deli Orders
The deli counter is busy, and orders have piled up. To serve the last customer first, you need to reverse the order of the deli orders. Given a string orders
where each individual order is separated by a single space, write a recursive function reverse_orders()
that returns a new string with the orders reversed.
Problem Highlights
- 💡 Difficulty: Medium
- ⏰ Time to complete: 15-20 mins
- 🛠️ Topics: Recursion, String Manipulation, List Operations
1: U-nderstand
Understand what the interviewer is asking for by using test cases and questions about the problem.
- Established a set (2-3) of test cases to verify their own solution later.
- Established a set (1-2) of edge cases to verify their solution handles complexities.
- Have fully understood the problem and have no clarifying questions.
- Have you verified any Time/Space Constraints for this problem?
- Q: What is the main task in this problem?
- A: The task is to reverse the order of words in a string using a recursive function.
- Q: What should the function return if the string is empty?
- A: The function should return an empty string.
HAPPY CASE
Input: "Bagel Sandwich Coffee"
Output: "Coffee Sandwich Bagel"
Explanation: The words "Bagel Sandwich Coffee" are reversed to "Coffee Sandwich Bagel".
EDGE CASE
Input: "
Output: "
Explanation: An empty string returns an empty string.
2: M-atch
Match what this problem looks like to known categories of problems, e.g. Linked List or Dynamic Programming, and strategies or patterns in those categories.
For Reversing Words in a String, we want to consider the following approaches:
- Recursive String Reversal: Use recursion to reverse the list of words and then join them back together.
3: P-lan
Plan the solution with appropriate visualizations and pseudocode.
General Idea:
- Split the string into a list of words and use a helper function to recursively reverse the list. The base cases handle when there are no words or only one word left.
Recursive Approach:
1) Base case: If the list `words` is empty, return an empty string.
2) Base case: If the list `words` has only one word, return that word.
3) Recursive case: Call the helper function on the rest of the list `words[1:]` and append the first word at the end.
⚠️ Common Mistakes
- Forgetting to handle the base cases correctly, which can result in incorrect results or infinite recursion.
- Incorrectly managing the string concatenation, leading to extra spaces or incorrect order.
4: I-mplement
Implement the code to solve the algorithm.
def reverse_helper(words):
if len(words) == 0: # Base case: no words left to process
return "
if len(words) == 1: # Base case: only one word left
return words[0]
# Recursive case: reverse the rest and append the first word at the end
return reverse_helper(words[1:]) + " " + words[0]
def reverse_orders(orders):
words = orders.split() # Split the sentence into a list of words
return reverse_helper(words) # Call the external helper function with the list of words
5: R-eview
Review the code by running specific example(s) and recording values (watchlist) of your code's variables along the way.
- Trace through the
reverse_orders
function with the input"Bagel Sandwich Coffee"
. The function should return"Coffee Sandwich Bagel"
after reversing the order of words. - Test the function with edge cases like an empty string
"
. The function should return"
, correctly handling the base case.
6: E-valuate
Evaluate the performance of your algorithm and state any strong/weak or future potential work.
Time Complexity:
- Time Complexity:
O(N)
whereN
is the number of words in the string. The function processes each word exactly once. - Space Complexity:
O(N)
due to the recursion stack and the space needed to store the reversed string. The depth of recursion is proportional to the number of words.
Discussion:
- The recursive approach effectively handles the task of reversing the order of words in the string. It is straightforward and aligns well with the recursive nature of the problem.
- While the recursive approach is clear and elegant, an iterative approach might be more efficient in practice, particularly in terms of space usage.