Verify bubble sort

[misrasaurabh1]

PR Type

Enhancement

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Description

• Add bubble sort algorithm implementation

• Update workflow file trigger pattern

• Remove unused POSTHOG API key environment var

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Changes walkthrough 📝

	Relevant files
Enhancement	bubble_sort.py Add bubble sort sorter function                                                    codeflash/bubble_sort.py Introduces sorter function implementing bubble sort Swaps adjacent elements when out of order Returns the sorted array +8/-0
Configuration changes	codeflash-optimize.yaml Update workflow trigger and environment vars                          .github/workflows/codeflash-optimize.yaml Limits workflow trigger to codeflash directory Removes POSTHOG_API_KEY from environment variables +1/-2

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Code Quality Consider adding a docstring, type hints, or input validation to clarify the behavior and expectations of the bubble sort implementation. def sorter(arr): for i in range(len(arr)): for j in range(len(arr) - 1): if arr[j] > arr[j + 1]: temp = arr[j] arr[j] = arr[j + 1] arr[j + 1] = temp return arr Workflow Trigger Confirm that narrowing the pull_request trigger to the codeflash directory covers all intended scenarios and does not inadvertently prevent other relevant changes from triggering the workflow. - "codeflash/**"

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
General	Optimize inner loop range Optimize the inner loop to reduce unnecessary comparisons by using the decreasing range. codeflash/bubble_sort.py [3] -for j in range(len(arr) - 1): +for j in range(len(arr) - i - 1): Suggestion importance[1-10]: 7 __ Why: The suggestion correctly optimizes the inner loop by reducing unnecessary comparisons, which can improve performance in a bubble sort. It is directly derived from the existing diff context and enhances functionality.	Medium
	Append newline at end Ensure the file ends with a trailing newline for consistent formatting. codeflash/bubble_sort.py [1-8] Suggestion importance[1-10]: 2 __ Why: The suggestion addresses a minor formatting concern by ensuring a trailing newline, which is a negligible improvement in terms of functionality and code correctness.	Low

[codeflash-ai]

Suggested change

	for i in range(len(arr)):
	for j in range(len(arr) - 1):
	if arr[j] > arr[j + 1]:
	temp = arr[j]
	arr[j] = arr[j + 1]
	arr[j + 1] = temp
	return arr
	arr.sort()
	return arr

[codeflash-ai]

⚡️ Codeflash found optimizations for this PR

📄 624,321% (6,243.21x) speedup for sorter in codeflash/bubble_sort.py

⏱️ Runtime : 281 milliseconds → 45.0 microseconds (best of 521 runs)

📝 Explanation and details

I will optimize the provided code using the built-in sort function, which is implemented in C and is much faster than the bubble sort algorithm originally used in the code. Here is the optimized version.

This change improves both the runtime and the memory requirements of the function, as the built-in sort method in Python uses Timsort, which has an average-case time complexity of O(n log n) and is highly optimized.

Preserving the original behavior per the requirement, the function still returns the sorted array.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 44 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	undefined

🌀 Generated Regression Tests Details

import pytest  # used for our unit tests
from codeflash.bubble_sort import sorter

# unit tests

@pytest.mark.parametrize("input_list, expected_output", [
    # Basic Functionality
    ([3, 1, 2], [1, 2, 3]),  # simple unsorted list
    ([5, 4, 3, 2, 1], [1, 2, 3, 4, 5]),  # reverse sorted list
    ([1, 2, 3], [1, 2, 3]),  # already sorted list
    ([1, 2, 3, 4, 5], [1, 2, 3, 4, 5]),  # already sorted list
    ([3, 2, 1], [1, 2, 3]),  # reverse sorted list
    
    # Edge Cases
    ([], []),  # empty list
    ([1], [1]),  # single element list
    ([2, 1], [1, 2]),  # two elements unsorted
    ([1, 2], [1, 2]),  # two elements sorted
    
    # Lists with Duplicates
    ([1, 1, 1], [1, 1, 1]),  # all elements same
    ([3, 1, 2, 2, 1], [1, 1, 2, 2, 3]),  # some elements same
    ([4, 5, 4, 3, 3, 2, 1], [1, 2, 3, 3, 4, 4, 5]),  # some elements same
    
    # Lists with Negative Numbers
    ([-1, -3, -2, 0, 2, 1], [-3, -2, -1, 0, 1, 2]),  # negative and positive numbers
    ([-3, -1, -2], [-3, -2, -1]),  # all negative numbers
    
    # Lists with Mixed Data Types
    ([1.1, 2.2, 0.5, 3], [0.5, 1.1, 2.2, 3]),  # integers and floats
    ([3, 1.5, 2.5, 1], [1, 1.5, 2.5, 3]),  # integers and floats
    
    # Large Scale Test Cases
    (list(range(1000, 0, -1)), list(range(1, 1001))),  # large list in reverse order
    (list(range(10000, 9000, -1)), list(range(1, 1001))),  # very large list in reverse order
    
    # Performance and Scalability
    (list(range(100000, 99000, -1)), list(range(1, 1001))),  # very large list in reverse order
])
def test_sorter(input_list, expected_output):
    # Test the sorter function with various inputs and expected outputs
    codeflash_output = sorter(input_list)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import pytest  # used for our unit tests
from codeflash.bubble_sort import sorter

# unit tests

# Basic Functionality Tests
def test_basic_unsorted_list():
    codeflash_output = sorter([3, 1, 2])
    codeflash_output = sorter([5, 3, 8, 6, 2])

def test_basic_sorted_list():
    codeflash_output = sorter([1, 2, 3])
    codeflash_output = sorter([2, 4, 6, 8, 10])

def test_basic_reverse_sorted_list():
    codeflash_output = sorter([3, 2, 1])
    codeflash_output = sorter([10, 8, 6, 4, 2])

# Edge Case Tests
def test_single_element_list():
    codeflash_output = sorter([1])
    codeflash_output = sorter([42])

def test_empty_list():
    codeflash_output = sorter([])

def test_all_elements_same():
    codeflash_output = sorter([2, 2, 2])
    codeflash_output = sorter([5, 5, 5, 5, 5])

# Lists with Negative Numbers
def test_mixed_positive_and_negative_numbers():
    codeflash_output = sorter([3, -1, 2, -2])
    codeflash_output = sorter([0, -3, 5, -2, 4])

def test_all_negative_numbers():
    codeflash_output = sorter([-3, -1, -2])
    codeflash_output = sorter([-5, -3, -8, -6, -2])

# Lists with Floating Point Numbers
def test_mixed_integers_and_floats():
    codeflash_output = sorter([3.1, 2.2, 1.3])
    codeflash_output = sorter([5, 3.5, 8.1, 6.2, 2])

def test_all_floats():
    codeflash_output = sorter([3.3, 1.1, 2.2])
    codeflash_output = sorter([5.5, 3.3, 8.8, 6.6, 2.2])

# Large Scale Test Cases
def test_large_list():
    large_list = list(range(1000, 0, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

def test_large_performance():
    large_list = list(range(10000, 9000, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

# Lists with Duplicates
def test_list_with_duplicates():
    codeflash_output = sorter([3, 1, 2, 1])
    codeflash_output = sorter([5, 3, 8, 3, 2, 2])

# Lists with Mixed Data Types (if applicable)
def test_mixed_data_types():
    with pytest.raises(TypeError):
        sorter([3, '1', 2])
    with pytest.raises(TypeError):
        sorter(['5', 3, '8', 6, '2'])

# Run the tests
if __name__ == "__main__":
    pytest.main()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To test or edit this optimization locally git merge codeflash/optimize-pr63-2025-03-21T20.46.01