LeetCode 418: Sentence Screen Fitting Solution in Python – A Step-by-Step Guide
Imagine you’ve got a tiny screen—like a 4-row, 6-column display—and a sentence like "a b c" to scroll across it. You’re tasked with figuring out how many times that sentence can fully fit as it rolls from left to right, word by word, without splitting words across lines. It’s a bit like fitting lyrics onto a karaoke screen! That’s the clever challenge of LeetCode 418: Sentence Screen Fitting, a medium-level problem that’s all about text layout and repetition. Using Python, we’ll tackle it two ways: the Best Solution, an optimized iteration with pointer adjustment that speeds through the fit count, and an Alternative Solution, a brute force simulation that steps through each character. With examples, code, and a friendly vibe, this guide will help you fit that sentence, whether you’re new to coding or sharpening your skills. Let’s scroll that text and dive in!
What Is LeetCode 418: Sentence Screen Fitting?
In LeetCode 418: Sentence Screen Fitting, you’re given three inputs: rows
(number of screen rows), cols
(number of columns per row), and sentence
(a list of words, e.g., ["a", "b", "c"]). Your task is to return how many times the sentence (joined with spaces, e.g., "a b c") can fully fit on the screen as it scrolls left to right. Words can’t be split across lines, and each row must fit whole words followed by spaces. For a 4×6 screen with ["a", "b", "c"], the sentence "a b c" (5 chars with spaces) fits twice, with some leftover space. The output is the count of complete sentence fits.
Problem Statement
- Input: rows (int), cols (int), sentence (list of strings).
- Output: An integer—number of times sentence fits on the screen.
- Rules:
- Sentence is joined with spaces (e.g., "a b c").
- Words can’t split across rows.
- Each row fits whole words plus spaces, up to cols.
Constraints
- 1 <= sentence.length <= 100.
- 1 <= sentence[i].length <= 10.
- 1 <= rows, cols <= 20,000.
Examples
- Input: rows = 2, cols = 8, sentence = ["hello","world"]
- Output: 1 ("hello world" fits once, 11 chars > 8, next row fits "hello").
- Input: rows = 3, cols = 6, sentence = ["a","b","c"]
- Output: 2 ("a b c" fits twice, 5 chars per row).
- Input: rows = 4, cols = 5, sentence = ["I","had"]
- Output: 1 ("I had" fits once, 6 chars > 5).
Understanding the Problem: Fitting the Sentence
To solve LeetCode 418: Sentence Screen Fitting in Python, we need to count how many times sentence
(joined with spaces) fits into a rows × cols
screen, ensuring words stay whole and fit within column limits. A naive idea might be to simulate every row—but with up to 20,000 rows, that’s too slow for big cases! Instead, we’ll use:
- Best Solution (Optimized Iteration with Pointer Adjustment): O(rows + n) time, O(1) space—leverages sentence repetition.
- Alternative Solution (Brute Force Simulation): O(rows * cols) time, O(1) space—simulates character-by-character.
Let’s dive into the optimized solution with a clear, step-by-step explanation.
Best Solution: Optimized Iteration with Pointer Adjustment
Why This Is the Best Solution
The optimized iteration with pointer adjustment method is the top pick because it’s fast—O(rows + n) time, O(1) space—and cleverly uses the sentence’s repeating pattern to skip redundant work. It tracks a pointer in the sentence string, adjusts it row-by-row based on column fits, and counts full repetitions without simulating every character. It’s like fast-forwarding through a looping ticker tape to tally complete plays!
How It Works
Think of the sentence as a scrolling marquee:
- Step 1: Prepare the Sentence:
- Join sentence with spaces (e.g., "a b c"), length = n.
- Step 2: Initialize Tracking:
- start: Pointer to current position in sentence (starts at 0).
- count: Number of full sentence fits (starts at 0).
- Step 3: Process Each Row:
- For each row:
- Fit as many characters as cols allow from start.
- If hit a space or end, move start forward by cols.
- If hit a letter, rewind start to last space (no split).
- Increment count when start wraps past sentence length.
- Update start modulo sentence length.
- Step 4: Why This Works:
- Sentence repeats cyclically, so pointer wraps naturally.
- Adjusting for spaces ensures whole words.
- Counts full fits without full simulation.
Step-by-Step Example
Example: rows = 3
, cols = 6
, sentence = ["a","b","c"]
- Sentence: "a b c", length = 5.
- Start: start = 0, count = 0.
- Row 1:
- From 0: "a b c" (5 ≤ 6), fits, start += 6 = 6.
- 6 % 5 = 1, count += 6 // 5 = 1 (one full fit).
- Row 2:
- From 1: "b c" (3) + " " + "a" (1) = 5 ≤ 6, start += 6 = 7.
- 7 % 5 = 2, count += 6 // 5 = 2.
- Row 3:
- From 2: "c" (1) + " " + "a b" (3) = 5 ≤ 6, start += 6 = 8.
- 8 % 5 = 3, count += 6 // 5 = 3.
- Result: count = 2 (two full fits), return 2.
Example: rows = 2
, cols = 8
, sentence = ["hello","world"]
- Sentence: "hello world", length = 11.
- Row 1: From 0: "hello" (5) + " " (6) ≤ 8, rewind to 0 (no split), start += 8 = 8, count = 0.
- Row 2: From 8: "rld" (3) + " " + "he" (2) = 6 ≤ 8, start += 8 = 16, count = 1.
- Result: 1.
Code with Detailed Line-by-Line Explanation
Here’s the Python code, broken down so you can follow every step:
class Solution:
def wordsTyping(self, sentence: List[str], rows: int, cols: int) -> int:
# Step 1: Join sentence with spaces
s = " ".join(sentence) + " "
n = len(s) # Length including final space
# Step 2: Initialize tracking
start = 0 # Pointer in sentence
count = 0 # Number of full fits
# Step 3: Process each row
for _ in range(rows):
# Move pointer by cols
start += cols
# If mid-word, rewind to last space
if start < n and s[start % n] != " ":
while start > 0 and s[(start - 1) % n] != " ":
start -= 1
# If at or past sentence end, adjust count
count += start // n
start = start % n
return count
- Line 4-5: Join sentence:
- "a b c " (space at end), length n (e.g., 6).
- Line 8-9: Initialize:
- start: Position in s (0).
- count: Full sentence fits (0).
- Line 12-20: Loop rows times:
- Line 13: Advance start by cols (e.g., 6).
- Line 15-17: If start lands mid-word (not space):
- Rewind to last space (e.g., "hello" at 5, back to 0).
- Line 19-20: Add fits (start // n), wrap start (start % n).
- Line 22: Return total fits.
- Time Complexity: O(rows + n)—rows iterations, rewind bounded by sentence length.
- Space Complexity: O(1)—just the joined string.
This is like scrolling a ticker tape with a fast-forward button!
Alternative Solution: Brute Force Simulation
Why an Alternative Approach?
The brute force simulation method steps through each row and column, placing words and counting fits explicitly. It’s O(rows * cols) time and O(1) space—simpler but slower for large screens. It’s like typing out the text on the screen character-by-character!
How It Works
Picture it as filling the screen:
- Step 1: Loop through rows and cols.
- Step 2: Place words, skip spaces, count fits.
- Step 3: Track word index and fits.
Step-by-Step Example
Example: rows = 3
, cols = 6
, sentence = ["a","b","c"]
- Row 1: "a b c ", word_idx = 3, count = 1.
- Row 2: "a b c ", word_idx = 3, count = 2.
- Row 3: "a b c ", word_idx = 3, count = 3.
- Result: 2 (two full fits).
Code for Brute Force Approach
class Solution:
def wordsTyping(self, sentence: List[str], rows: int, cols: int) -> int:
count = 0
word_idx = 0
n = len(sentence)
for _ in range(rows):
col = 0
while col < cols:
word_len = len(sentence[word_idx])
if col + word_len <= cols: # Fits word
col += word_len + 1 # Word + space
word_idx = (word_idx + 1) % n
if word_idx == 0:
count += 1
else:
break
return count
- Time Complexity: O(rows * cols)—character-by-character.
- Space Complexity: O(1)—few variables.
It’s a slow screen filler!
Comparing the Two Solutions
- Optimized Iteration (Best):
- Pros: O(rows + n), O(1), fast with patterns.
- Cons: Less intuitive.
- Brute Force (Alternative):
- Pros: O(rows * cols), O(1), straightforward.
- Cons: Slower.
Optimized wins for speed.
Additional Examples and Edge Cases
- 1, 1, ["a"]: 1.
- 2, 3, ["a","b"]: 1.
- 1, 10, ["abc"]: 3.
Optimized handles all.
Complexity Breakdown
- Optimized: Time O(rows + n), Space O(1).
- Brute Force: Time O(rows * cols), Space O(1).
Optimized’s the champ.
Key Takeaways
- Optimized: Skip smart!
- Brute Force: Fill it out!
- Fitting: Words align.
- Python Tip: Strings rock—see [Python Basics](/python/basics).
Final Thoughts: Fit That Text
LeetCode 418: Sentence Screen Fitting in Python is a text-scrolling adventure. Optimized iteration zips through it, while brute force fills it steady. Want more string fun? Try LeetCode 415: Add Strings or LeetCode 68: Text Justification. Ready to fit? Head to Solve LeetCode 418 on LeetCode and scroll that sentence today!