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48 changes: 1 addition & 47 deletions main.py
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
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):

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Performance Improvement: Good implementation of memoization for the Fibonacci function, which improves the time complexity from O(2^n) to O(n). This addresses the exponential growth problem in the original implementation and prevents potential stack overflow for large inputs.

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Missing Documentation: Consider adding docstrings to both nth_fibonacci_util and nth_fibonacci functions to explain their purpose, parameters, expected return values, and the memoization approach being used.

return memo[n]


# Wrapper function that handles both initialization
# and Fibonacci calculation
def nth_fibonacci(n):
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Input Validation: Consider adding input validation to handle negative values of n or non-integer inputs, which aren't currently addressed and could cause unexpected behavior.


# 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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🛠️ Refactor suggestion

Add input validation for edge cases.

The wrapper function logic is correct, but consider adding validation for negative inputs to prevent potential issues with array creation.

 def nth_fibonacci(n):
+    if n < 0:
+        raise ValueError("Fibonacci number is not defined for negative integers")
     # Create a memoization table and initialize with -1
     memo = [-1] * (n + 1)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
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)
def nth_fibonacci(n):
if n < 0:
raise ValueError("Fibonacci number is not defined for negative integers")
# Create a memoization table and initialize with -1
memo = [-1] * (n + 1)
# Call the utility function
return nth_fibonacci_util(n, memo)
🤖 Prompt for AI Agents
In main.py around lines 19 to 24, the nth_fibonacci function lacks input
validation for negative values, which can cause errors when creating the memo
array. Add a check at the start of the function to raise a ValueError or return
an appropriate response if n is negative, preventing invalid array creation and
ensuring robust input handling.



if __name__ == "__main__":
n = 5
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Misleading Comment: The comment # Output: 5 is misleading as it suggests the output will always be 5, regardless of input. Either remove the comment or make it clearer that this is the expected output specifically for 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