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📄 315,567% (3,155.67x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 3.56 seconds 1.13 millisecond (best of 497 runs)

⚡️ This change will improve the performance of the following benchmarks:

Benchmark File :: Function Original Runtime Expected New Runtime Speedup
code_to_optimize.tests.pytest.benchmarks.test_benchmark_bubble_sort::test_sort 7.95 milliseconds 30.5 microseconds 25922.97%
code_to_optimize.tests.pytest.benchmarks.test_process_and_sort::test_compute_and_sort 18.8 milliseconds 10.9 milliseconds 71.84%
code_to_optimize.tests.pytest.benchmarks.test_process_and_sort::test_no_func 7.89 milliseconds 27.9 microseconds 28115.43%
📝 Explanation and details

To optimize the sorting program, I'll replace the inefficient bubble sort with Python's built-in sort, which is highly optimized. Here's how the updated code looks.

This change should drastically reduce the execution time, especially for larger arrays, because Python's built-in sort() method uses Timsort, which has a time complexity of O(n log n) in the worst case.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 20 Passed
🌀 Generated Regression Tests 59 Passed
⏪ Replay Tests 2 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests Details
- benchmarks/codeflash_replay_tests_uasocf4b/test_code_to_optimize_tests_pytest_benchmarks_test_benchmark_bubble_sort__replay_test_0.py
- benchmarks/codeflash_replay_tests_uasocf4b/test_code_to_optimize_tests_pytest_benchmarks_test_process_and_sort__replay_test_0.py
- benchmarks/test_benchmark_bubble_sort.py
- test_bubble_sort.py
- test_bubble_sort_conditional.py
- test_bubble_sort_import.py
- test_bubble_sort_in_class.py
- test_bubble_sort_parametrized.py
- test_bubble_sort_parametrized_loop.py
🌀 Generated Regression Tests Details
import pytest  # used for our unit tests
from code_to_optimize.bubble_sort import sorter

# unit tests

def test_empty_list():
    # Test with an empty list
    codeflash_output = sorter([])

def test_single_element_list():
    # Test with a single element list
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])

def test_already_sorted_list():
    # Test with an already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(['a', 'b', 'c', 'd'])

def test_reverse_sorted_list():
    # Test with a reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(['d', 'c', 'b', 'a'])

def test_unsorted_list():
    # Test with an unsorted list
    codeflash_output = sorter([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5])
    codeflash_output = sorter(['z', 'a', 'q', 'b', 'm'])

def test_list_with_duplicates():
    # Test with a list containing duplicates
    codeflash_output = sorter([4, 2, 2, 8, 3, 3, 1])
    codeflash_output = sorter(['b', 'a', 'b', 'a', 'c'])

def test_list_with_negative_numbers():
    # Test with a list containing negative numbers
    codeflash_output = sorter([3, -1, 4, -1, 5, -9, 2, -6, 5, 3, 5])
    codeflash_output = sorter([-2, -3, -1, -5, -4])

def test_list_with_mixed_numeric_types():
    # Test with a list containing mixed numeric types
    codeflash_output = sorter([1, 2.2, 3, 4.4, 5])
    codeflash_output = sorter([3.1, 2, 1.5, 2])

def test_list_with_boolean_values():
    # Test with a list containing boolean values
    codeflash_output = sorter([True, False, True, False])
    codeflash_output = sorter([1, True, 0, False])

def test_list_with_special_characters():
    # Test with a list containing special characters
    codeflash_output = sorter(['!', '@', '#', ', '%'])
    codeflash_output = sorter(['z', '!', 'a', '#'])

def test_list_with_large_integers():
    # Test with a list containing very large integers
    codeflash_output = sorter([999999999999, 222222222222, 333333333333])
    codeflash_output = sorter([1000000000000, 999999999999, 888888888888])

def test_list_with_strings_of_different_lengths():
    # Test with a list containing strings of different lengths
    codeflash_output = sorter(['short', 'a', 'longer', 'longest'])
    codeflash_output = sorter(['apple', 'app', 'apricot', 'a'])

def test_list_with_unicode_characters():
    # Test with a list containing Unicode characters
    codeflash_output = sorter(['é', 'è', 'ê', 'ë'])
    codeflash_output = sorter(['ü', 'û', 'ù', 'ú'])

def test_list_with_all_identical_elements():
    # Test with a list where all elements are the same
    codeflash_output = sorter([7, 7, 7, 7, 7])
    codeflash_output = sorter(['x', 'x', 'x', 'x'])

def test_list_with_none_values():
    # Test with a list containing None values
    with pytest.raises(TypeError):
        sorter([3, None, 2, None, 1])
    with pytest.raises(TypeError):
        sorter([None, 'a', 'b'])

def test_list_with_nested_lists():
    # Test with a list containing nested lists
    with pytest.raises(TypeError):
        sorter([3, [1, 2], 2, [3, 4]])
    with pytest.raises(TypeError):
        sorter([[2, 3], [1, 2], [3, 4]])

def test_list_with_different_data_types():
    # Test with a list containing different data types
    with pytest.raises(TypeError):
        sorter([1, 'a', 3.5, True])
    with pytest.raises(TypeError):
        sorter(['a', 1, None, 3.5])

def test_large_list():
    # Test with a large list of random integers
    import random
    large_list = random.sample(range(1000), 1000)
    sorted_list = sorted(large_list)
    codeflash_output = sorter(large_list)

    # Test with a large list of random floating-point numbers
    large_float_list = [random.uniform(0, 100000) for _ in range(1000)]
    sorted_float_list = sorted(large_float_list)
    codeflash_output = sorter(large_float_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 code_to_optimize.bubble_sort import sorter

# unit tests

def test_empty_list():
    # Test sorting an empty list
    codeflash_output = sorter([])

def test_single_element_list():
    # Test sorting a list with a single element
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])

def test_already_sorted_list():
    # Test sorting an already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(['a', 'b', 'c', 'd'])

def test_reverse_sorted_list():
    # Test sorting a list in reverse order
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(['d', 'c', 'b', 'a'])

def test_unsorted_list_unique_elements():
    # Test sorting a list with unique, unsorted elements
    codeflash_output = sorter([3, 1, 4, 5, 2])
    codeflash_output = sorter(['b', 'd', 'a', 'c'])

def test_list_with_duplicates():
    # Test sorting a list with duplicate elements
    codeflash_output = sorter([3, 1, 2, 3, 2])
    codeflash_output = sorter(['b', 'a', 'b', 'a'])

def test_list_with_negative_numbers():
    # Test sorting a list with negative numbers
    codeflash_output = sorter([-3, -1, -2, 0, 2, 1])
    codeflash_output = sorter([3, -2, -1, 2, -3, 1])

def test_list_with_mixed_positive_and_negative_numbers():
    # Test sorting a list with both positive and negative numbers
    codeflash_output = sorter([3, -1, 2, -2, 0, 1])
    codeflash_output = sorter([-1, 5, 3, -2, 4, 0])

def test_list_with_floating_point_numbers():
    # Test sorting a list with floating point numbers
    codeflash_output = sorter([3.1, 2.2, 1.3, 4.4, 0.5])
    codeflash_output = sorter([-1.1, 2.2, -3.3, 4.4, 0.0])

def test_list_with_strings_of_different_lengths():
    # Test sorting a list with strings of different lengths
    codeflash_output = sorter(['apple', 'banana', 'cherry', 'date'])
    codeflash_output = sorter(['a', 'abc', 'ab', 'abcd'])

def test_list_with_identical_elements():
    # Test sorting a list where all elements are identical
    codeflash_output = sorter([1, 1, 1, 1, 1])
    codeflash_output = sorter(['a', 'a', 'a', 'a'])

def test_list_with_special_characters():
    # Test sorting a list with special characters
    codeflash_output = sorter(['!', '@', '#', ', '%'])
    codeflash_output = sorter(['a', '!', 'b', '@', 'c', '#'])

def test_large_scale():
    # Test sorting a large list to assess performance and scalability
    large_list = list(range(10000, 9000, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-sorter-m90hd64z and push.

Codeflash

To optimize the sorting program, I'll replace the inefficient bubble sort with Python's built-in sort, which is highly optimized. Here's how the updated code looks.



This change should drastically reduce the execution time, especially for larger arrays, because Python's built-in `sort()` method uses Timsort, which has a time complexity of O(n log n) in the worst case.
@codeflash-ai-dev codeflash-ai-dev bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Apr 2, 2025
@codeflash-ai-dev codeflash-ai-dev bot requested a review from alvin-r April 2, 2025 22:10
@alvin-r alvin-r closed this Apr 2, 2025
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