Translating Decision Flows to Control Statements

Getting your dream software engineering job often involves cracking coding interviews, and the "FizzBuzz" problem is a classic example that tests your grasp of basic control flow. Let's delve into how to map the problem's requirements to technical implementations.

The Problem Statement Translated

The problem tasks you with making the following decisions based on the input number:

1. Multiple of 3: Return "fizz"
2. Multiple of 5: Return "buzz"
3. Multiple of both 3 and 5: Return "fizzbuzz"
4. None of the above: Return the number itself

Why Use Control Statements?

You might be wondering why control statements like if-else and switch are the way to go here. That's because these statements allow us to simulate decision-making in code, just as we do in everyday life. When your language doesn't include a switch statement, if-else ladders are the tool of choice.

The Art of Decision Making in Code

Step 1: Identify the Key Decisions

First, observe the series of decisions needed. Are they mutually exclusive? In our case, yes—each number can only map to one output. This screams "use an if-else ladder."

Step 2: Translate to if-else

Translate each decision point to an if-else statement.

• If a number is a multiple of both 3 and 5, the number is a multiple of 15 (3 * 5).
• To check if a number, say n, is a multiple of another number, say m, we use the modulo operator %. If n % m == 0, then n is a multiple of m.

1if /* multiple of 3 */:
2  # fizz
3elif /* multiple of 5 */:
4  # buzz
5elif /* multiple of 3 and 5 */:
6  # fizzbuzz
7else:
8  # return number

Unveiling the Magic of the Modulo Operator

Just like you would use division in everyday math to find out if one number evenly fits into another, you can do the same in programming. However, there's a more elegant solution at hand: the modulo operator %.

A Visual Cue to Modulo Operation

Imagine the number 6 as a full container of water, and the number 3 as an empty cup. If you can pour the water into the empty cup such that the container becomes completely empty with no overflow or leftover, then it's safe to say 3 "neatly divides" into 6.

Why Division Falls Short

While division (/) can be used, it creates a mess. You'd need to deal with quotients and additional logic to make sense of any leftovers. This is like trying to use a measuring cylinder to manually calculate if the water can completely fill the empty cup, drop by drop.

Cumbersome, right?

The Power of Modulo (%)

Enter the modulo operator (%). This tool directly gives you any leftovers (the remainder) when you try to fit one number into another. If it gives you a zero, voila! The numbers fit perfectly.

Here's a quick example:

16 % 3
2// 0
3// 3 neatly divides into 6

The Practicality of Modulo in the FizzBuzz Problem

For FizzBuzz, using % is an absolute win. Just check if the number, when divided by another (say 3 or 5), leaves a remainder of zero:

• If n % 3 == 0, it's "fizz."
• If n % 5 == 0, it's "buzz."
• If n % 15 == 0, it's "fizzbuzz."

See? No mess, no fuss. Just a neat, simple solution for identifying multiples. And this, my friends, is why the modulo operator is your best companion for problems involving division and remainders.

Navigating the Maze of Conditionals: Order Matters!

Here's the classic pitfall.

The order of conditionals in FizzBuzz is an often overlooked detail that makes all the difference. Let's dive into understanding why the sequence is important, and then we can talk a bit about performance.

The Conditional Trap

Remember the earlier example where we used the following if-else ladder in various languages?

1if # multiple of 3:
2  # fizz
3elif # multiple of 5:
4  # buzz
5elif # multiple of 3 and 5:
6  # fizzbuzz
7else:
8  # return number

This isn't quite right!

Here's where many people also go wrong. Why? Because the order will short-circuit the fizzbuzz condition, which needs both 3 and 5 as divisors.

In our conditional, we'll want to address the fizzbuzz scenario first, since it needs to go before the fizz and buzz blocks. Because it is requires being divisible by both 3 and 5, it will get short circuited by either the 3 OR 5 cases first.

To restate, I mean that we need it to pass through the i % 3 == 0 && i % 5 == 0 condition before either of the individual % 3 or % 5 ones. Those cases are still true (and their logic will execute) even in cases where it's true for i % 3 && i % 5.

The time complexity is O(n) as it involves a single loop that iterates through each element once. When you're in a coding interview, pointing out the time complexity can score you extra points.

Some more helpful links:

• https://www.codetips.co.uk/fizz-buzz/
• https://ditam.github.io/posts/fizzbuzz/

One Pager Cheat Sheet

• We are given an integer n, and asked to write a function fizzBuzz() that returns the string representation of all numbers from 1 to n using the rules "fizz", "buzz" and "fizzbuzz" for multiples of 3, 5 and both respectively, with a maximum value of 1000, O(n) time complexity and O(1) space complexity.
• The key to answering this technical interview question was to identify how to map a problem to its technical implementation, such as using if-else or switch control flows.
• We can use the modulo operator (%) to easily determine if one number is a multiple of another - the remainder returned will be 0 if it is.
• We can use a conditional flow order of fizzbuzz > fizz > buzz > return number to check if a number is divisible by either 3, 5, both, or neither, with a time complexity of O(n).

This is our final solution.

To visualize the solution and step through the below code, click Visualize the Solution on the right-side menu or the VISUALIZE button in Interactive Mode.

xxxxxxxxxx

    print("Nice job, 3/3 tests passed!")

def fizz_buzz(n):

    final_arr = []

​

    for num in range(1, n + 1):

        if num % 3 == 0 and num % 5 == 0:

            final_arr.append("fizzbuzz")

        elif num % 3 == 0:

            final_arr.append("fizz")

        elif num % 5 == 0:

            final_arr.append("buzz")

        else:

            final_arr.append(str(num))

​

    return "".join(final_arr)

​

​

import unittest

​

​

class Test(unittest.TestCase):

    def test_1(self):

        assert fizz_buzz(0) == ""

        print("PASSED: Expect fizz_buzz(0) to equal ''")

​

    def test_2(self):

        assert fizz_buzz(1) == "1"

        print("PASSED: Expect fizz_buzz(1) to equal '1'")

​

    def test_3(self):

        assert fizz_buzz(15) == "12fizz4buzzfizz78fizzbuzz11fizz1314fizzbuzz"

        print(

            "PASSED: Expect fizz_buzz(15) to equal '12fizz4buzzfizz78fizzbuzz11fizz1314fizzbuzz'"

Great job getting through this. Let's move on.

If you had any problems with this tutorial, check out the main forum thread here.