Atharvsabdeai patch 2 #15
Conversation
![greptile-apps[bot]](https://avatars.githubusercontent.com/in/867647?s=60&v=4){kind=small}
There was a problem hiding this comment.
Your free trial has ended. If you'd like to continue receiving code reviews, you can add a payment method here.
WalkthroughThe changes introduce a new module, Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant main.py
participant OS/Env
participant FileSystem
participant JSONParser
User->>main.py: Run script
main.py->>OS/Env: Get GITHUB_EVENT_NAME, GITHUB_EVENT_PATH
main.py->>FileSystem: Validate GITHUB_EVENT_PATH
alt Path invalid
main.py-->>User: Print error, exit
else Path valid
main.py->>FileSystem: Open file
main.py->>JSONParser: Parse JSON
alt JSON error
main.py-->>User: Print error, exit
else Success
main.py-->>User: Print event name and payload
end
end
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Poem
Note ⚡️ Unit Test Generation is now available in beta!Learn more here, or try it out under "Finishing Touches" below. ✨ Finishing Touches
🧪 Generate unit tests
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
SupportNeed help? Create a ticket on our support page for assistance with any issues or questions. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
Summary of Changes
Hello @shivaji-dev1, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a new module containing various common sorting algorithms and enhances an existing utility script by improving its robustness and error handling when processing GitHub event data. The changes reflect both the addition of new functional components and stability improvements to existing code.
Highlights
- Improved GitHub Event Handling: The
main.pyscript, which appears to be a utility for processing GitHub event data, has been refactored. The logic for loading event data is now encapsulated in a dedicatedload_github_event()function, significantly improving error handling for missing environment variables, non-existent event files, and JSON parsing issues. Critical errors now lead tosys.exit(1). - New Sorting Algorithm Implementations: A new file,
sorting.py, has been added to the repository. This file introduces Python implementations of several fundamental sorting algorithms, including Bubble Sort, Selection Sort, Insertion Sort, and Merge Sort. The file also includes sample code demonstrating how to use these functions and compares their output with Python's built-in sorting methods.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.
| Feature | Command | Description |
|---|---|---|
| Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
| Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
| Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
| Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments or fill out our survey to provide feedback.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
|
/refacto-test |
1 similar comment
|
/refacto-test |
There was a problem hiding this comment.
Code Review
This pull request refactors the GitHub event loading logic in main.py and adds a new sorting.py file with various sorting algorithm implementations. The refactoring in main.py is a positive change, improving modularity and error handling. I recommend directing error messages to stderr to follow standard command-line tool practices. In the new sorting.py file, the example code should be placed within an if __name__ == '__main__': block to make the functions importable and reusable.
| # Sample input | ||
| original = [6, 6, 2, 3, 2] | ||
|
|
||
| print("Original list:") | ||
| print(original) | ||
|
|
||
| # Bubble Sort | ||
| arr1 = original.copy() | ||
| bubble_sort(arr1) | ||
| print("\nBubble Sort result:") | ||
| print(arr1) | ||
|
|
||
| # Selection Sort | ||
| arr2 = original.copy() | ||
| selection_sort(arr2) | ||
| print("\nSelection Sort result:") | ||
| print(arr2) | ||
|
|
||
| # Insertion Sort | ||
| arr3 = original.copy() | ||
| insertion_sort(arr3) | ||
| print("\nInsertion Sort result:") | ||
| print(arr3) | ||
|
|
||
| # Merge Sort (not in-place) | ||
| arr4 = original.copy() | ||
| arr4_sorted = merge_sort(arr4) | ||
| print("\nMerge Sort result:") | ||
| print(arr4_sorted) | ||
|
|
||
| # Python built-in sort (in-place) | ||
| arr5 = original.copy() | ||
| arr5.sort() | ||
| print("\nPython .sort() result:") | ||
| print(arr5) | ||
|
|
||
| # Python built-in sorted() (returns new list) | ||
| arr6 = sorted(original) | ||
| print("\nPython sorted() result (non-in-place):") | ||
| print(arr6) |
There was a problem hiding this comment.
The sample code that demonstrates the sorting functions is currently at the module's top level. This means it will execute every time this file is imported by another module. To make these sorting functions reusable, it's a best practice to place the demonstration code inside an if __name__ == "__main__": block. This ensures the code only runs when the script is executed directly.
if __name__ == "__main__":
# Sample input
original = [6, 6, 2, 3, 2]
print("Original list:")
print(original)
# Bubble Sort
arr1 = original.copy()
bubble_sort(arr1)
print("\nBubble Sort result:")
print(arr1)
# Selection Sort
arr2 = original.copy()
selection_sort(arr2)
print("\nSelection Sort result:")
print(arr2)
# Insertion Sort
arr3 = original.copy()
insertion_sort(arr3)
print("\nInsertion Sort result:")
print(arr3)
# Merge Sort (not in-place)
arr4 = original.copy()
arr4_sorted = merge_sort(arr4)
print("\nMerge Sort result:")
print(arr4_sorted)
# Python built-in sort (in-place)
arr5 = original.copy()
arr5.sort()
print("\nPython .sort() result:")
print(arr5)
# Python built-in sorted() (returns new list)
arr6 = sorted(original)
print("\nPython sorted() result (non-in-place):")
print(arr6)| print("⚠️ Environment variable GITHUB_EVENT_PATH is not set. Cannot read event data.") | ||
| sys.exit(1) |
There was a problem hiding this comment.
For better separation of concerns, error messages and diagnostic output should be written to standard error (sys.stderr) instead of standard output (sys.stdout). This allows consumers of your script to redirect normal output and error output independently.
This principle should be applied to all error-related print statements in this function (e.g., on lines 16, 23, and 25).
print("⚠️ Environment variable GITHUB_EVENT_PATH is not set. Cannot read event data.", file=sys.stderr)
sys.exit(1)
|
Refacto is reviewing this PR. Please wait for the review comments to be posted. |
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 0
🔭 Outside diff range comments (1)
sorting.py (1)
82-122: Wrap sample usage in main guard to prevent execution on import.The sample usage code is excellent for demonstrating the sorting algorithms, but it will execute whenever the module is imported. This is not ideal for a utility module.
+if __name__ == "__main__": # Sample input original = [6, 6, 2, 3, 2] print("Original list:") print(original) # Bubble Sort arr1 = original.copy() bubble_sort(arr1) print("\nBubble Sort result:") print(arr1) # Selection Sort arr2 = original.copy() selection_sort(arr2) print("\nSelection Sort result:") print(arr2) # Insertion Sort arr3 = original.copy() insertion_sort(arr3) print("\nInsertion Sort result:") print(arr3) # Merge Sort (not in-place) arr4 = original.copy() arr4_sorted = merge_sort(arr4) print("\nMerge Sort result:") print(arr4_sorted) # Python built-in sort (in-place) arr5 = original.copy() arr5.sort() print("\nPython .sort() result:") print(arr5) # Python built-in sorted() (returns new list) arr6 = sorted(original) print("\nPython sorted() result (non-in-place):") print(arr6)
🧹 Nitpick comments (2)
sorting.py (1)
17-28: Consider avoiding unnecessary swaps.The implementation is correct, but you can add a small optimization to avoid swapping when the minimum element is already in the correct position.
for j in range(i + 1, n): if arr[j] < arr[min_idx]: min_idx = j - arr[i], arr[min_idx] = arr[min_idx], arr[i] + if min_idx != i: + arr[i], arr[min_idx] = arr[min_idx], arr[i]main.py (1)
5-27: Consider consolidating error handling to reduce exit points.The function logic is correct and error handling is comprehensive. However, having multiple
sys.exit(1)calls can make the code harder to test and maintain.def load_github_event(): event_name = os.getenv("GITHUB_EVENT_NAME", "UNKNOWN_EVENT") event_path = os.getenv("GITHUB_EVENT_PATH") print(f"📦 Received GitHub event: {event_name}") if not event_path: print("⚠️ Environment variable GITHUB_EVENT_PATH is not set. Cannot read event data.") - sys.exit(1) + return None if not os.path.isfile(event_path): print(f"❌ Event file not found at: {event_path}") - sys.exit(1) + return None try: with open(event_path, "r", encoding="utf-8") as f: return json.load(f) except json.JSONDecodeError as e: print(f"❌ Failed to parse event JSON: {e}") + return None except Exception as e: print(f"❌ Unexpected error reading event file: {e}") + return None - - sys.exit(1)Then update the main function to handle None return:
def main(): event_data = load_github_event() + if event_data is None: + sys.exit(1) print("✅ Event JSON Payload:") print(json.dumps(event_data, indent=2))
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
main.py(1 hunks)sorting.py(1 hunks)
🔇 Additional comments (6)
sorting.py (4)
1-14: LGTM! Well-implemented bubble sort with optimization.The implementation correctly implements bubble sort with the early termination optimization, which improves best-case performance from O(n²) to O(n) for already sorted arrays.
31-42: LGTM! Correct insertion sort implementation.The implementation correctly implements insertion sort with proper element shifting and insertion logic.
45-57: LGTM! Correct merge sort implementation.The implementation correctly implements merge sort with proper divide-and-conquer logic and appropriate base case handling.
60-79: LGTM! Efficient merge implementation with stable sorting.The merge function correctly implements the two-pointer technique and uses
<=comparison to ensure stable sorting behavior.main.py (2)
29-32: LGTM! Clean refactoring with good separation of concerns.The main function is now focused on orchestration while the event loading logic is properly encapsulated in a separate function. The use of
json.dumpswith indentation provides clean, readable output.
3-3: LGTM! Necessary import for error handling.The
sysimport is required for thesys.exit()calls used in error handling throughout the refactored code.
Solid Architecture - Let's Address Key Reliability & Performance Items!
|
![refacto-test[bot]](https://avatars.githubusercontent.com/u/196302493?s=60&v=4){kind=small}
| Recursively divides the list and merges sorted halves. | ||
| """ | ||
| if len(arr) <= 1: | ||
| return arr | ||
|
|
||
| mid = len(arr) // 2 | ||
| left = merge_sort(arr[:mid]) | ||
| right = merge_sort(arr[mid:]) | ||
|
|
There was a problem hiding this comment.
Inefficient Merge Sort Implementation with Excessive Memory Usage
The current merge_sort implementation creates new arrays on each recursive call through list slicing (arr[:mid] and arr[mid:]). This leads to O(n log n) extra memory allocation beyond the O(n) that merge sort typically requires. For large arrays, this can cause excessive memory consumption and potentially stack overflow errors due to deep recursion. This violates ISO/IEC 25010 Reliability requirements for resource utilization efficiency and could lead to application crashes when sorting large datasets.
def merge_sort(arr):
"""
Performs Merge Sort with reduced memory overhead.
Uses an auxiliary array but avoids creating new arrays on each recursive call.
"""
# Create a single auxiliary array once
aux = arr.copy()
# Call the recursive helper function
_merge_sort_helper(arr, aux, 0, len(arr) - 1)
return arr
def _merge_sort_helper(arr, aux, low, high):
"""Helper function that performs the recursive merge sort"""
if low >= high:
return
mid = (low + high) // 2
# Recursively sort both halves
_merge_sort_helper(aux, arr, low, mid)
_merge_sort_helper(aux, arr, mid + 1, high)
# Merge the sorted halves
_merge_in_place(arr, aux, low, mid, high)References
Standard: ISO/IEC 25010 Reliability - Resource Utilization
|
|
||
| def merge(left, right): | ||
| """ | ||
| Helper function to merge two sorted lists. | ||
| """ | ||
| result = [] | ||
| i = j = 0 | ||
|
|
||
| # Merge the two halves | ||
| while i < len(left) and j < len(right): | ||
| if left[i] <= right[j]: | ||
| result.append(left[i]) | ||
| i += 1 | ||
| else: | ||
| result.append(right[j]) | ||
| j += 1 | ||
|
|
||
| # Append any remaining elements | ||
| result.extend(left[i:]) |
There was a problem hiding this comment.
Missing Corresponding In-Place Merge Function
The current merge function creates a new result list and appends elements to it, which is inefficient for memory usage. This implementation doesn't match the new in-place merge sort approach from the previous finding. Without a corresponding in-place merge function, the merge sort algorithm will not work correctly after the previous modification, leading to functional correctness issues and potential runtime errors.
def _merge_in_place(arr, aux, low, mid, high):
"""
Helper function to merge two sorted subarrays in-place.
Merges aux[low:mid+1] and aux[mid+1:high+1] into arr[low:high+1].
"""
# Copy elements to merge
for k in range(low, high + 1):
arr[k] = aux[k]
# Merge the two halves
i, j = low, mid + 1
for k in range(low, high + 1):
if i > mid:
arr[k] = aux[j]
j += 1
elif j > high:
arr[k] = aux[i]
i += 1
elif aux[i] <= aux[j]:
arr[k] = aux[i]
i += 1
else:
arr[k] = aux[j]
j += 1References
Standard: ISO/IEC 25010 Functional Suitability - Functional Correctness
|
|
||
| try: | ||
| with open(github_event_path, "r") as file: | ||
| event_data = json.load(file) | ||
| print("Event JSON Payload:") | ||
| print(json.dumps(event_data, indent=2)) | ||
| with open(event_path, "r", encoding="utf-8") as f: | ||
| return json.load(f) | ||
| except json.JSONDecodeError as e: |
There was a problem hiding this comment.
Uncaught JSONDecodeError in load_github_event Function
The function catches the JSONDecodeError and prints an error message, but doesn't exit the program or return a value. This will cause the function to implicitly return None, which will then be used in the main function when it tries to access event_data. This will lead to an AttributeError or TypeError when the code attempts to use json.dumps on None, causing the program to crash with an uncaught exception. This violates ISO/IEC 25010 Reliability requirements for proper error handling and fault tolerance.
try:
with open(event_path, "r", encoding="utf-8") as f:
return json.load(f)
except json.JSONDecodeError as e:
print(f"❌ Failed to parse event JSON: {e}")
sys.exit(1)References
Standard: ISO/IEC 25010 Reliability - Fault Tolerance
| def main(): | ||
| event_data = load_github_event() |
There was a problem hiding this comment.
Potential JSON Injection via Untrusted Event Data
The application loads potentially untrusted JSON data from an external source (GitHub event) and prints it directly to the console without proper validation or sanitization. If the JSON contains malicious content designed to exploit console vulnerabilities (e.g., ANSI escape sequences that can manipulate the terminal), it could lead to command injection or interface manipulation attacks.
print("✅ Event JSON Payload:")
# Sanitize and limit output of potentially untrusted data
safe_output = json.dumps(event_data, indent=2)
print(f"Length: {len(safe_output)} characters. First 1000 chars: {safe_output[:1000]}")References
Standard: CWE-94
Standard: OWASP Top 10 2021: A03 - Injection
| original = [6, 6, 2, 3, 2] | ||
|
|
||
| print("Original list:") | ||
| print(original) | ||
|
|
||
| # Bubble Sort | ||
| arr1 = original.copy() | ||
| bubble_sort(arr1) | ||
| print("\nBubble Sort result:") | ||
| print(arr1) | ||
|
|
||
| # Selection Sort | ||
| arr2 = original.copy() | ||
| selection_sort(arr2) | ||
| print("\nSelection Sort result:") | ||
| print(arr2) | ||
|
|
||
| # Insertion Sort | ||
| arr3 = original.copy() | ||
| insertion_sort(arr3) | ||
| print("\nInsertion Sort result:") | ||
| print(arr3) | ||
|
|
||
| # Merge Sort (not in-place) | ||
| arr4 = original.copy() | ||
| arr4_sorted = merge_sort(arr4) | ||
| print("\nMerge Sort result:") | ||
| print(arr4_sorted) | ||
|
|
||
| # Python built-in sort (in-place) | ||
| arr5 = original.copy() | ||
| arr5.sort() | ||
| print("\nPython .sort() result:") | ||
| print(arr5) | ||
|
|
||
| # Python built-in sorted() (returns new list) | ||
| arr6 = sorted(original) | ||
| print("\nPython sorted() result (non-in-place):") |
There was a problem hiding this comment.
Test Code Mixed with Implementation Code
The sorting.py file contains both implementation code (sorting algorithms) and test/demonstration code. This violates the separation of concerns principle and makes the module less maintainable. Production code should be separate from test code to improve modularity, reusability, and to prevent accidental execution of tests in production environments.
# In a new file: test_sorting.py
from sorting import bubble_sort, selection_sort, insertion_sort, merge_sort
def test_sorting_algorithms():
# Sample input
original = [6, 6, 2, 3, 2]
expected = [2, 2, 3, 6, 6]
# Test Bubble Sort
arr1 = original.copy()
bubble_sort(arr1)
assert arr1 == expected
# Test Selection Sort
arr2 = original.copy()
selection_sort(arr2)
assert arr2 == expected
# Test Insertion Sort
arr3 = original.copy()
insertion_sort(arr3)
assert arr3 == expected
# Test Merge Sort
arr4 = original.copy()
arr4_sorted = merge_sort(arr4)
assert arr4_sorted == expected
if __name__ == "__main__":
test_sorting_algorithms()
print("All tests passed!")References
Standard: Single Responsibility Principle (SRP), Python Testing Best Practices
|
/refacto-test |
|
Refacto is reviewing this PR. Please wait for the review comments to be posted. |
There was a problem hiding this comment.
Your free trial has ended. If you'd like to continue receiving code reviews, you can add a payment method here.
Code Review: Sorting Algorithms Implementation👍 Well Done
📌 Files Processed
📝 Additional Comments
|
|
|
||
|
|
||
| # Sample input | ||
| original = [6, 6, 2, 3, 2] |
There was a problem hiding this comment.
Command Injection Risk
Sample data is hardcoded in source. In production, if this code accepts user input for sorting, it could enable command injection. Attackers could inject malicious data leading to code execution.
| original = [6, 6, 2, 3, 2] | |
| def validate_input(arr): | |
| """Validate that input is a list of numbers only""" | |
| if not isinstance(arr, list): | |
| raise TypeError("Input must be a list") | |
| for item in arr: | |
| if not isinstance(item, (int, float)): | |
| raise ValueError("List must contain only numbers") | |
| return arr | |
| # Replace hardcoded sample with validated input | |
| original = [6, 6, 2, 3, 2] # For demo purposes | |
| try: | |
| original = validate_input(original) | |
| except (TypeError, ValueError) as e: | |
| print(f"Input validation error: {e}") | |
| exit(1) |
Standards
- CWE-78
- OWASP-A03
| original = [6, 6, 2, 3, 2] | ||
|
|
||
| print("Original list:") | ||
| print(original) |
There was a problem hiding this comment.
Exception Handling Missing
Sample code lacks exception handling for sorting operations. Errors during sorting would cause uncaught exceptions, crashing the program without graceful recovery.
| original = [6, 6, 2, 3, 2] | |
| print("Original list:") | |
| print(original) | |
| # Sample input | |
| original = [6, 6, 2, 3, 2] | |
| print("Original list:") | |
| print(original) | |
| try: | |
| # Bubble Sort | |
| arr1 = original.copy() | |
| bubble_sort(arr1) | |
| print("\nBubble Sort result:") | |
| print(arr1) | |
| # Selection Sort | |
| arr2 = original.copy() | |
| selection_sort(arr2) | |
| print("\nSelection Sort result:") | |
| print(arr2) | |
| # Insertion Sort | |
| arr3 = original.copy() | |
| insertion_sort(arr3) | |
| print("\nInsertion Sort result:") | |
| print(arr3) | |
| # Merge Sort (not in-place) | |
| arr4 = original.copy() | |
| arr4_sorted = merge_sort(arr4) | |
| print("\nMerge Sort result:") | |
| print(arr4_sorted) | |
| # Python built-in sort (in-place) | |
| arr5 = original.copy() | |
| arr5.sort() | |
| print("\nPython .sort() result:") | |
| print(arr5) | |
| # Python built-in sorted() (returns new list) | |
| arr6 = sorted(original) | |
| print("\nPython sorted() result (non-in-place):") | |
| print(arr6) | |
| except Exception as e: | |
| print(f"Error during sorting operation: {e}") |
Standards
- ISO-IEC-25010-Reliability-Fault-Tolerance
- ISO-IEC-25010-Functional-Correctness-Appropriateness
- SRE-Error-Handling
| with open(event_path, "r", encoding="utf-8") as f: | ||
| return json.load(f) | ||
| except json.JSONDecodeError as e: | ||
| print(f"❌ Failed to parse event JSON: {e}") | ||
| except Exception as e: |
There was a problem hiding this comment.
Resource Cleanup Missing
File resource not properly closed in error path. JSONDecodeError catch doesn't close file handle, potentially leading to resource leaks under error conditions.
| with open(event_path, "r", encoding="utf-8") as f: | |
| return json.load(f) | |
| except json.JSONDecodeError as e: | |
| print(f"❌ Failed to parse event JSON: {e}") | |
| except Exception as e: | |
| try: | |
| with open(event_path, "r", encoding="utf-8") as f: | |
| try: | |
| return json.load(f) | |
| except json.JSONDecodeError as e: | |
| print(f"❌ Failed to parse event JSON: {e}") | |
| sys.exit(1) | |
| except Exception as e: | |
| print(f"❌ Unexpected error reading event file: {e}") | |
| sys.exit(1) |
Standards
- ISO-IEC-25010-Reliability-Recoverability
- ISO-IEC-25010-Functional-Correctness-Appropriateness
- SRE-Resource-Management
| def merge(left, right): | ||
| """ | ||
| Helper function to merge two sorted lists. | ||
| """ | ||
| result = [] | ||
| i = j = 0 | ||
|
|
||
| # Merge the two halves | ||
| while i < len(left) and j < len(right): | ||
| if left[i] <= right[j]: | ||
| result.append(left[i]) | ||
| i += 1 | ||
| else: | ||
| result.append(right[j]) | ||
| j += 1 | ||
|
|
||
| # Append any remaining elements | ||
| result.extend(left[i:]) | ||
| result.extend(right[j:]) | ||
| return result |
There was a problem hiding this comment.
Inefficient Merge Implementation
Multiple append operations in the merge function cause O(n) individual memory allocations. This creates unnecessary GC pressure and reduces performance, especially for large arrays.
| def merge(left, right): | |
| """ | |
| Helper function to merge two sorted lists. | |
| """ | |
| result = [] | |
| i = j = 0 | |
| # Merge the two halves | |
| while i < len(left) and j < len(right): | |
| if left[i] <= right[j]: | |
| result.append(left[i]) | |
| i += 1 | |
| else: | |
| result.append(right[j]) | |
| j += 1 | |
| # Append any remaining elements | |
| result.extend(left[i:]) | |
| result.extend(right[j:]) | |
| return result | |
| def merge(left, right): | |
| """ | |
| Helper function to merge two sorted lists. | |
| """ | |
| result = [None] * (len(left) + len(right)) | |
| i = j = k = 0 | |
| # Merge the two halves | |
| while i < len(left) and j < len(right): | |
| if left[i] <= right[j]: | |
| result[k] = left[i] | |
| i += 1 | |
| else: | |
| result[k] = right[j] | |
| j += 1 | |
| k += 1 | |
| # Copy remaining elements | |
| while i < len(left): | |
| result[k] = left[i] | |
| i += 1 | |
| k += 1 | |
| while j < len(right): | |
| result[k] = right[j] | |
| j += 1 | |
| k += 1 | |
| return result |
Standards
- ISO-IEC-25010-Performance-Resource-Utilization
- Algorithm-Opt-Memory-Allocation
- Google-Performance-Best-Practices
| def merge_sort(arr): | ||
| """ | ||
| Performs Merge Sort (not in-place). | ||
| Recursively divides the list and merges sorted halves. | ||
| """ | ||
| if len(arr) <= 1: | ||
| return arr | ||
|
|
||
| mid = len(arr) // 2 | ||
| left = merge_sort(arr[:mid]) | ||
| right = merge_sort(arr[mid:]) | ||
|
|
||
| return merge(left, right) |
There was a problem hiding this comment.
Inefficient Merge Sort
The merge sort implementation creates unnecessary copies of arrays with slice operations (arr[:mid] and arr[mid:]) on each recursive call, leading to O(n log n) extra space complexity. This reduces performance for large arrays due to excessive memory allocation.
| def merge_sort(arr): | |
| """ | |
| Performs Merge Sort (not in-place). | |
| Recursively divides the list and merges sorted halves. | |
| """ | |
| if len(arr) <= 1: | |
| return arr | |
| mid = len(arr) // 2 | |
| left = merge_sort(arr[:mid]) | |
| right = merge_sort(arr[mid:]) | |
| return merge(left, right) | |
| def merge_sort(arr): | |
| """ | |
| Performs Merge Sort (not in-place). | |
| Recursively divides the list and merges sorted halves. | |
| """ | |
| # Create a copy to avoid modifying the original | |
| result = arr.copy() | |
| temp = [0] * len(arr) # Auxiliary array | |
| _merge_sort_helper(result, 0, len(result) - 1, temp) | |
| return result | |
| def _merge_sort_helper(arr, left, right, temp): | |
| """Helper function that performs the recursive merge sort""" | |
| if left < right: | |
| mid = left + (right - left) // 2 | |
| _merge_sort_helper(arr, left, mid, temp) | |
| _merge_sort_helper(arr, mid + 1, right, temp) | |
| _merge(arr, left, mid, right, temp) | |
| def _merge(arr, left, mid, right, temp): | |
| """Merges two sorted subarrays using indices instead of slices""" | |
| # Copy data to temp arrays | |
| for i in range(left, right + 1): | |
| temp[i] = arr[i] | |
| i = left # Initial index of first subarray | |
| j = mid + 1 # Initial index of second subarray | |
| k = left # Initial index of merged subarray | |
| # Merge temp arrays back into arr[left..right] | |
| while i <= mid and j <= right: | |
| if temp[i] <= temp[j]: | |
| arr[k] = temp[i] | |
| i += 1 | |
| else: | |
| arr[k] = temp[j] | |
| j += 1 | |
| k += 1 | |
| # Copy the remaining elements of left subarray, if any | |
| while i <= mid: | |
| arr[k] = temp[i] | |
| i += 1 | |
| k += 1 | |
| # No need to copy remaining elements of right subarray | |
| # as they are already in the correct position |
Standards
- Algorithm-Correctness-Space-Complexity
- Mathematical-Accuracy-Recursive-Algorithms
- Logic-Verification-Performance-Optimization
| original = [6, 6, 2, 3, 2] | ||
|
|
||
| print("Original list:") | ||
| print(original) | ||
|
|
||
| # Bubble Sort | ||
| arr1 = original.copy() | ||
| bubble_sort(arr1) | ||
| print("\nBubble Sort result:") | ||
| print(arr1) | ||
|
|
There was a problem hiding this comment.
Hardcoded Test Data
Sorting algorithm testing code is mixed with implementation, violating separation of concerns. This makes the module less reusable as a library and complicates maintenance by coupling implementation with testing.
| original = [6, 6, 2, 3, 2] | |
| print("Original list:") | |
| print(original) | |
| # Bubble Sort | |
| arr1 = original.copy() | |
| bubble_sort(arr1) | |
| print("\nBubble Sort result:") | |
| print(arr1) | |
| def bubble_sort(arr): | |
| """ | |
| Performs in-place Bubble Sort on a list. | |
| Stops early if no swaps occur in a pass. | |
| """ | |
| n = len(arr) | |
| for end in range(n - 1, 0, -1): | |
| swapped = False | |
| for i in range(end): | |
| if arr[i] > arr[i + 1]: | |
| arr[i], arr[i + 1] = arr[i + 1], arr[i] | |
| swapped = True | |
| if not swapped: | |
| break | |
| def selection_sort(arr): | |
| """ | |
| Performs in-place Selection Sort. | |
| Repeatedly selects the minimum element and puts it in place. | |
| """ | |
| n = len(arr) | |
| for i in range(n): | |
| min_idx = i | |
| for j in range(i + 1, n): | |
| if arr[j] < arr[min_idx]: | |
| min_idx = j | |
| arr[i], arr[min_idx] = arr[min_idx], arr[i] | |
| def insertion_sort(arr): | |
| """ | |
| Performs in-place Insertion Sort. | |
| Builds the sorted array one item at a time. | |
| """ | |
| for i in range(1, len(arr)): | |
| key = arr[i] | |
| j = i - 1 | |
| while j >= 0 and arr[j] > key: | |
| arr[j + 1] = arr[j] | |
| j -= 1 | |
| arr[j + 1] = key | |
| def merge_sort(arr): | |
| """ | |
| Performs Merge Sort (not in-place). | |
| Recursively divides the list and merges sorted halves. | |
| """ | |
| if len(arr) <= 1: | |
| return arr | |
| mid = len(arr) // 2 | |
| left = merge_sort(arr[:mid]) | |
| right = merge_sort(arr[mid:]) | |
| return merge(left, right) | |
| def merge(left, right): | |
| """ | |
| Helper function to merge two sorted lists. | |
| """ | |
| result = [] | |
| i = j = 0 | |
| # Merge the two halves | |
| while i < len(left) and j < len(right): | |
| if left[i] <= right[j]: | |
| result.append(left[i]) | |
| i += 1 | |
| else: | |
| result.append(right[j]) | |
| j += 1 | |
| # Append any remaining elements | |
| result.extend(left[i:]) | |
| result.extend(right[j:]) | |
| return result | |
| if __name__ == "__main__": | |
| # Sample input | |
| original = [6, 6, 2, 3, 2] | |
| print("Original list:") | |
| print(original) | |
| # Bubble Sort | |
| arr1 = original.copy() | |
| bubble_sort(arr1) | |
| print("\nBubble Sort result:") | |
| print(arr1) | |
| # Selection Sort | |
| arr2 = original.copy() | |
| selection_sort(arr2) | |
| print("\nSelection Sort result:") | |
| print(arr2) | |
| # Insertion Sort | |
| arr3 = original.copy() | |
| insertion_sort(arr3) | |
| print("\nInsertion Sort result:") | |
| print(arr3) | |
| # Merge Sort (not in-place) | |
| arr4 = original.copy() | |
| arr4_sorted = merge_sort(arr4) | |
| print("\nMerge Sort result:") | |
| print(arr4_sorted) | |
| # Python built-in sort (in-place) | |
| arr5 = original.copy() | |
| arr5.sort() | |
| print("\nPython .sort() result:") | |
| print(arr5) | |
| # Python built-in sorted() (returns new list) | |
| arr6 = sorted(original) | |
| print("\nPython sorted() result (non-in-place):") | |
| print(arr6) |
Standards
- Clean-Code-Separation-Of-Concerns
- Clean-Code-Module-Organization
- SOLID-SRP
|
/refacto-test |
|
PR already reviewed at the latest commit: aea4ef5. |
3 participants
Summary by CodeRabbit
New Features
Refactor