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Update main.py #10

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48 changes: 1 addition & 47 deletions main.py
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Original file line number Diff line number Diff line change
@@ -1,21 +1,5 @@

def nth_fibonacci(n):

# Base case: if n is 0 or 1, return n
if n <= 1:
return n

# Recursive case: sum of the two preceding Fibonacci numbers
return nth_fibonacci(n - 1) + nth_fibonacci(n - 2)

n = 5
result = nth_fibonacci(n)
print(result)


# Function to calculate the nth Fibonacci number using memoization
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Redundant Function Definition

The PR removes an inefficient recursive Fibonacci implementation without memoization. This is good as it had exponential O(2^n) time complexity which would cause severe performance issues for larger inputs.

Standards
  • Algorithm Efficiency
  • Time Complexity Optimization

def nth_fibonacci_util(n, memo):

# Base case: if n is 0 or 1, return n
if n <= 1:
return n
Expand All @@ -30,46 +14,16 @@ def nth_fibonacci_util(n, memo):

return memo[n]


# Wrapper function that handles both initialization
# and Fibonacci calculation
def nth_fibonacci(n):

# Create a memoization table and initialize with -1
memo = [-1] * (n + 1)

# Call the utility function
return nth_fibonacci_util(n, memo)
Comment on lines 19 to 24
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⚠️ Potential issue

Validate input: reject negative or non-integer n

Currently, passing a negative n returns a negative value (Line 4) which is incorrect for Fibonacci. Add input validation to ensure n is a non-negative integer.

Suggested replacement (outside the changed hunk):

def nth_fibonacci(n):
    # Validate input early
    if not isinstance(n, int) or n < 0:
        raise ValueError("n must be a non-negative integer")

    if n <= 1:
        return n

    memo = [-1] * (n + 1)
    return nth_fibonacci_util(n, memo)
🤖 Prompt for AI Agents 
In main.py around lines 19 to 24, add input validation to reject negative or
non-integer n: check if n is an int and n >= 0 and raise ValueError("n must be a
non-negative integer") for invalid inputs; also handle the trivial cases by
returning n when n <= 1 before creating the memo array so the function doesn't
compute or return incorrect values for negative or small inputs.



if __name__ == "__main__":
n = 5
result = nth_fibonacci(n)
print(result)



def nth_fibonacci(n):

# Handle the edge cases
if n <= 1:
return n

# Create a list to store Fibonacci numbers
dp = [0] * (n + 1)

# Initialize the first two Fibonacci numbers
dp[0] = 0
dp[1] = 1

# Fill the list iteratively
for i in range(2, n + 1):
dp[i] = dp[i - 1] + dp[i - 2]

# Return the nth Fibonacci number
return dp[n]

n = 5
result = nth_fibonacci(n)
print(result)

print(result) # Output: 5
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Duplicate Function Removal

The PR removes a duplicate iterative Fibonacci implementation. Having multiple implementations of the same function with different algorithms creates maintenance issues and confusion about which one to use.

Standards
  • DRY Principle
  • Code Duplication
  • SOLID - Single Responsibility