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Co-authored-by: qodo-merge-pro[bot] <151058649+qodo-merge-pro[bot]@users.noreply.github.com>
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Code Review: Fibonacci Implementation Improvements👍 Well Done
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main.py
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| n = 5 | ||
| result = nth_fibonacci(n) | ||
| print(result) |
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Execution Code Not Protected by Module Guard
The execution code at the end of the file is not protected by an if name == "main": guard. This means the code will execute when imported as a module, causing unintended side effects and violating Python best practices.
| n = 5 | |
| result = nth_fibonacci(n) | |
| print(result) | |
| if __name__ == "__main__": | |
| n = 5 | |
| result = nth_fibonacci(n) | |
| print(result) |
Standards
- Python Best Practices
- Module Design
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
main.py (1)
1-16: Remove obsolete memoized helper and wrapper after consolidationAfter adopting a single iterative nth_fibonacci, this helper and wrapper become dead code and add maintenance burden. The recursive approach also risks recursion depth for large n.
Apply these diffs to remove them:
-# 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 - - # Check if the result is already in the memo table - if memo[n] != -1: - return memo[n] - - # Recursive case: calculate Fibonacci number - # and store it in memo - memo[n] = nth_fibonacci_util(n - 1, memo) + nth_fibonacci_util(n - 2, 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)Also applies to: 19-27
♻️ Duplicate comments (1)
main.py (1)
37-55: Duplicate function definition; consolidate to a single, validated O(1) implementationThis second nth_fibonacci definition shadows the earlier one, making the memoized version dead code and causing inconsistent behavior for negative inputs (e.g., returns a negative number). Consolidate to a single function with input validation and O(1) space.
Apply this diff to replace the duplicate with a single, validated, O(1) iterative implementation:
-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] +def nth_fibonacci(n: int) -> int: + """Return the n-th Fibonacci number (0-indexed). + + Raises: + TypeError: if n is not an integer. + ValueError: if n is negative. + """ + if not isinstance(n, int): + raise TypeError("n must be an integer") + if n < 0: + raise ValueError("n must be non-negative") + if n <= 1: + return n + prev, curr = 0, 1 + for _ in range(2, n + 1): + prev, curr = curr, prev + curr + return curr
🧹 Nitpick comments (1)
main.py (1)
57-58: Remove leftover review-artifact commentStray comment “Remove lines 57-59 entirely” appears to be a review artifact and should be removed.
-# Remove lines 57-59 entirely -
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main.py (1)
30-33: Module guard is correctly usedGood use of if name == "main": to prevent side effects on import.
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Actionable comments posted: 1
🔭 Outside diff range comments (2)
main.py (2)
1-17: Remove memoized helper and wrapper to eliminate duplication and shadowing.You currently define
nth_fibonaccitwice. The later definition shadows the earlier wrapper, and the mid-file__main__block calls the earlier (buggy) version. Drop the memoized path to avoid confusion and one version drifting from the other.Proposed removal:
-# 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 - - # Check if the result is already in the memo table - if memo[n] != -1: - return memo[n] - - # Recursive case: calculate Fibonacci number - # and store it in memo - memo[n] = nth_fibonacci_util(n - 1, memo) + nth_fibonacci_util(n - 2, 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)Also applies to: 19-28
30-33: Move the module guard to the end of the file.Placed mid-file, it invokes the earlier (now-removed/buggy) definition before the final version is defined. Move it after the final
nth_fibonaccidefinition.Remove here:
-if __name__ == "__main__": - n = 5 - result = nth_fibonacci(n) - print(result)Then add at end of file:
if __name__ == "__main__": n = 5 print(nth_fibonacci(n))
♻️ Duplicate comments (1)
main.py (1)
37-41: Revisit input validation only if tests require it.Previous reviews already suggested type/non-negative checks. If your tests or consumer code expect these, add them; otherwise, you can skip per your earlier stance.
If needed, insert:
def nth_fibonacci(n): + if not isinstance(n, int): + raise TypeError("n must be an integer") + if n < 0: + raise ValueError("n must be non-negative") if n <= 1: return nTo confirm whether tests rely on this behavior, run:
#!/bin/bash # Find tests and expectations around nth_fibonacci fd -t f -e py | xargs rg -n "nth_fibonacci\(" rg -n "assertRaises\(.+(TypeError|ValueError).+nth_fibonacci" -A2 -B2
🧹 Nitpick comments (2)
main.py (2)
37-55: Consolidate to a single, faster O(1)-space iterative implementation.The current iterative version allocates O(n) space. You can compute Fibonacci in O(1) space and keep only this single definition.
Apply:
-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] +def nth_fibonacci(n): + if n <= 1: + return n + a, b = 0, 1 + for _ in range(2, n + 1): + a, b = b, a + b + return b
57-58: Remove stray reviewer note left in source.This meta-comment should not be committed.
-# Remove lines 57-59 entirely -
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main.py
6-6: Undefined name m
(F821)
| # Base case: if n is 0 or 1, return n | ||
| if n <= 1: | ||
| return n | ||
| return m |
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Fix NameError in base case: use n, not m.
Ruff correctly flags m as undefined. This will raise at runtime and break the script under the module guard.
Apply this fix:
- return m
+ return n📝 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.
| return m | |
| return n |
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6-6: Undefined name m
(F821)
🤖 Prompt for AI Agents
In main.py around line 6, the base-case return uses an undefined variable `m`;
replace `m` with the correct parameter `n` so the function returns the intended
value and avoids the NameError at runtime.
Code Review: Fibonacci Implementation and Testing👍 Well Done
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Actionable comments posted: 2
🔭 Outside diff range comments (1)
main.py (1)
41-59: Remove duplicate nth_fibonacci definition
The second implementation at lines 41–59 shadows the validated version (with type/non-negative checks) above and causes tests to fail. Please remove it so only the public, validatednth_fibonacciremains.• Location to update:
–main.py, lines 41–59Apply this diff:
-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] +# Removed duplicate nth_fibonacci; use the validated version aboveOptionally, if you’d like to keep an iterative reference internally without exposing it publicly, add:
def _nth_fibonacci_iter(n: int) -> int: a, b = 0, 1 for _ in range(n): a, b = b, a + b return a
♻️ Duplicate comments (1)
main.py (1)
6-6: Fix NameError in base case: return n, not m.This will raise at runtime and is flagged by Ruff. Replace m with n.
Apply this diff:
- return m + return n
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6-6: Undefined name m
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🔇 Additional comments (1)
main.py (1)
20-32: Docstring and input validation look good.Clear contract and explicit errors for bad input types/values.
| if not isinstance(n, int): | ||
| raise TypeError("Input must be an integer") | ||
| if n < 0: | ||
| raise ValueError("Input must be non-negative") | ||
| return nth_fibonacci_util(n) |
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Incorrect helper invocation and missing memo initialization.
nth_fibonacci_util requires a memo parameter. As written, this will fail with a missing-argument TypeError.
Apply this diff:
- return nth_fibonacci_util(n)
+ # Use memoization helper
+ memo = [-1] * (n + 1)
+ return nth_fibonacci_util(n, memo)📝 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.
| if not isinstance(n, int): | |
| raise TypeError("Input must be an integer") | |
| if n < 0: | |
| raise ValueError("Input must be non-negative") | |
| return nth_fibonacci_util(n) | |
| if not isinstance(n, int): | |
| raise TypeError("Input must be an integer") | |
| if n < 0: | |
| raise ValueError("Input must be non-negative") | |
| # Use memoization helper | |
| memo = [-1] * (n + 1) | |
| return nth_fibonacci_util(n, memo) |
🤖 Prompt for AI Agents
In main.py around lines 33 to 37, the call to nth_fibonacci_util omits its
required memo argument causing a TypeError and there is no memo initialized; add
a memo (e.g., an empty dict) and pass it into nth_fibonacci_util (for example
create memo = {} after validating n and then return nth_fibonacci_util(n, memo))
so the helper has the memo parameter it expects.
| # Remove lines 57-59 entirely | ||
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Remove stray review artifact from source.
The line “Remove lines 57-59 entirely” appears to be a leftover review note and should not be in code.
Apply this diff:
-# Remove lines 57-59 entirely📝 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.
| # Remove lines 57-59 entirely |
🤖 Prompt for AI Agents
In main.py around lines 61-62, remove the stray review artifact line "Remove
lines 57-59 entirely" from the source; delete that exact text so the file
contains only intended code/comments and then save the file (run linter/tests to
confirm no syntax remains).
Code Review: Fibonacci Implementation👍 Well Done
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| return m | ||
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NameError: Undefined Variable 'm' in Base Case
The base case of nth_fibonacci_util references variable 'm' which is undefined, causing a runtime NameError. This prevents the function from working for any input.
| return m | |
| if n <= 1: | |
| return n |
Standards
- Python Variable Scope Rules
| raise TypeError("Input must be an integer") | ||
| if n < 0: | ||
| raise ValueError("Input must be non-negative") | ||
| return nth_fibonacci_util(n) |
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Missing Required Parameter in Function Call
The function nth_fibonacci_util is called with only one argument, but its definition requires two parameters (n, memo). This will cause a runtime error when the function is called.
| return nth_fibonacci_util(n) | |
| memo = [-1] * (n + 1) | |
| return nth_fibonacci_util(n, memo) |
Standards
- Function Parameter Consistency
| # Remove lines 57-59 entirely | ||
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Commented Instruction to Remove Code Remains in Codebase
The comment indicates that lines 57-59 should be removed, but both the comment and the referenced code remain in the codebase. This creates confusion about the intended implementation.
| # Remove lines 57-59 entirely |
Standards
- Clean Code Principles
.
Summary by CodeRabbit
New Features
Refactor
Tests