Quiz: What would this code produce if we were to copy-paste it in a code editor and run it?
def get_double(n):
n * 2
result = get_double(10)
print(result)
Options:
A: It would print 20
B: It would print None
C: It would produce errors
A: It would print 10
Important Note:
Do not use an actual code editor to get the answer! It would defy the whole purpose of the quiz!
Instructions:
Pick your answer and assign variable answer
in the code editor with that answer.
For example, if you think the answer to the quiz is B
, write answer = "B"
in the code editor and press Validate Solution!
.
The core challenge of this problem is to understand the behavior of the Python function and its return value. The function get_double
is supposed to double the input value n
, but it lacks a return statement. This is a common pitfall in Python programming where a function without an explicit return statement returns None
by default.
To solve this problem, we need to analyze the given code step-by-step:
get_double
which takes an argument n
.n * 2
is evaluated but not returned.10
and store the result in the variable result
.result
.Since the function does not have a return statement, it will return None
by default. Therefore, the output of the code will be None
.
Here is a step-by-step breakdown of the algorithm:
get_double
with a parameter n
.n * 2
.None
.10
and assign the result to the variable result
.result
, which will be None
.def get_double(n):
# The function multiplies n by 2 but does not return the result
n * 2
# Call the function with 10 and store the result in 'result'
result = get_double(10)
# Print the result, which will be None
print(result)
The time complexity of this function is O(1) because it performs a constant amount of work regardless of the input size. The space complexity is also O(1) as it uses a fixed amount of space.
Since the function does not return any value, the only edge case to consider is the default return value of None
. Any input to the function will result in None
being returned.
To test this solution, you can use the following test cases:
# Test case 1: Input is 10
result = get_double(10)
print(result) # Expected output: None
# Test case 2: Input is 0
result = get_double(0)
print(result) # Expected output: None
# Test case 3: Input is -5
result = get_double(-5)
print(result) # Expected output: None
When solving such problems, always ensure that your functions have explicit return statements if you expect them to return a value. This helps avoid common pitfalls and makes your code more predictable and easier to debug.
In this blog post, we analyzed a simple Python function and understood why it returns None
instead of the expected value. We discussed the importance of return statements and provided a detailed explanation of the algorithm, code implementation, and complexity analysis. Understanding these concepts is crucial for writing effective and bug-free code.