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⚡️ Speed up function sorter by 253,809% #153

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📄 253,809% (2,538.09x) speedup for sorter in bubble_sort.py

⏱️ Runtime : 68.7 milliseconds 27.1 microseconds (best of 1036 runs)

📝 Explanation and details

The given code is an implementation of the bubble sort algorithm, which is not very efficient with its (O(n^2)) time complexity. We can significantly improve this by using the built-in sort method in Python, which has an average-case (O(n \log n)) time complexity.

Here’s the optimized version.

Or if you want to sort the list in place without creating a new list.

Both sorted() and sort() methods are highly optimized and use Timsort, which is faster and more efficient in most cases compared to bubble sort.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 69 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

# Basic Test Cases
def test_empty_list():
    codeflash_output = sorter([])

def test_single_element_list():
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])

def test_already_sorted_list():
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(['a', 'b', 'c', 'd'])

def test_reverse_sorted_list():
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(['d', 'c', 'b', 'a'])

def test_unsorted_list_with_unique_elements():
    codeflash_output = sorter([3, 1, 4, 2, 5])
    codeflash_output = sorter(['b', 'd', 'a', 'c'])

def test_list_with_duplicate_elements():
    codeflash_output = sorter([3, 1, 4, 2, 5, 3, 1])
    codeflash_output = sorter(['b', 'd', 'a', 'c', 'b', 'd'])

def test_list_with_negative_numbers():
    codeflash_output = sorter([3, -1, 4, -2, 5])
    codeflash_output = sorter([-3, -1, -4, -2, -5])

def test_list_with_floats():
    codeflash_output = sorter([3.1, 1.4, 4.1, 2.5, 5.9])
    codeflash_output = sorter([-3.1, -1.4, -4.1, -2.5, -5.9])

def test_list_with_repeated_values():
    codeflash_output = sorter([2, 3, 2, 1, 2])
    codeflash_output = sorter(['a', 'b', 'a', 'c', 'a'])

def test_list_with_special_characters():
    codeflash_output = sorter(['!', '@', '#', ', '%'])
    codeflash_output = sorter(['a', '!', 'b', '@', 'c', '#'])

def test_list_with_mixed_case_strings():
    codeflash_output = sorter(['a', 'B', 'c', 'A', 'b'])
    codeflash_output = sorter(['apple', 'Banana', 'cherry', 'Apple', 'banana'])

# Edge Test Cases
def test_list_with_all_identical_elements():
    codeflash_output = sorter([1, 1, 1, 1, 1])
    codeflash_output = sorter(['a', 'a', 'a', 'a'])

def test_list_with_special_floating_point_values():
    codeflash_output = sorter([float('inf'), 1, float('-inf')])
    codeflash_output = sorter([3.1, float('nan'), 4.1, float('inf'), 5.9, float('-inf')])

def test_list_with_custom_objects():
    class CustomObject:
        def __init__(self, value):
            self.value = value
        def __lt__(self, other):
            return self.value < other.value
        def __eq__(self, other):
            return self.value == other.value
        def __repr__(self):
            return f'CustomObject({self.value})'
    
    codeflash_output = sorter([CustomObject(3), CustomObject(1), CustomObject(2)])

def test_list_with_mixed_comparable_and_non_comparable_types():
    with pytest.raises(TypeError):
        sorter([1, 'a', 2, 'b'])
    with pytest.raises(TypeError):
        sorter([3, None, 1, 'a'])

def test_list_with_immutable_and_mutable_types():
    with pytest.raises(TypeError):
        sorter([1, [2, 3], 4, [5, 6]])
    with pytest.raises(TypeError):
        sorter(['a', {'key': 'value'}, 'b'])


def test_list_with_very_large_integers():
    codeflash_output = sorter([9223372036854775807, -9223372036854775808, 0])
    codeflash_output = sorter([10**18, 10**19, -10**20])

def test_list_with_very_small_floating_point_numbers():
    codeflash_output = sorter([1e-10, 1e-20, 1e-15])
    codeflash_output = sorter([-1e-10, -1e-20, -1e-15])

def test_list_with_strings_of_varying_lengths():
    codeflash_output = sorter(['short', 'a', 'veryverylongstring', 'medium'])
    codeflash_output = sorter(['', 'a', 'ab', 'abc'])

# 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_very_large_list():
    very_large_list = list(range(10000, 9000, -1))
    sorted_very_large_list = list(range(1, 1001))
    codeflash_output = sorter(very_large_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 bubble_sort import sorter

# unit tests

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

def test_single_element_list():
    codeflash_output = sorter([1])

def test_two_elements_list():
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter([1, 2])

def test_already_sorted_list():
    codeflash_output = sorter([1, 2, 3, 4, 5])

def test_reverse_sorted_list():
    codeflash_output = sorter([5, 4, 3, 2, 1])

def test_list_with_duplicates():
    codeflash_output = sorter([3, 1, 2, 3, 1])

def test_list_with_all_identical_elements():
    codeflash_output = sorter([2, 2, 2, 2, 2])

def test_list_with_negative_numbers():
    codeflash_output = sorter([-1, -3, -2, 0, 2])

def test_mixed_positive_and_negative_numbers():
    codeflash_output = sorter([3, -1, 2, -5, 0])

def test_list_with_floating_point_numbers():
    codeflash_output = sorter([3.1, 2.2, 1.5, 4.8])

def test_list_with_large_numbers():
    codeflash_output = sorter([1000000, 999999, 1000001])

def test_large_list():
    codeflash_output = sorter(list(range(1000, 0, -1)))

def test_list_with_random_order():
    codeflash_output = sorter([5, 3, 8, 6, 2, 7, 4, 1])

def test_list_with_strings():
    codeflash_output = sorter(['banana', 'apple', 'cherry'])

def test_list_with_none_values():
    with pytest.raises(TypeError):
        sorter([None, 1, 2])

def test_list_with_mixed_data_types():
    with pytest.raises(TypeError):
        sorter([1, 'two', 3.0])

def test_list_with_boolean_values():
    codeflash_output = sorter([True, False, True])
    codeflash_output = sorter([1, True, 0, False])

def test_list_with_special_floating_point_values():
    codeflash_output = sorter([float('inf'), float('-inf'), 1, 0])

def test_list_with_immutable_elements():
    codeflash_output = sorter([(1, 2), (2, 1), (1, 1)])
    codeflash_output = sorter(['a', 'b', 'c'])


def test_list_with_custom_objects():
    class Custom:
        def __init__(self, value):
            self.value = value
        def __lt__(self, other):
            return self.value < other.value
        def __eq__(self, other):
            return self.value == other.value

    codeflash_output = sorter([Custom(3), Custom(1), Custom(2)])

def test_list_with_very_large_numbers():
    codeflash_output = sorter([10**10, 10**15, 10**20])
    codeflash_output = sorter([10**100, 10**50, 10**75])

def test_list_with_very_small_numbers():
    codeflash_output = sorter([10**-10, 10**-15, 10**-20])
    codeflash_output = sorter([10**-100, 10**-50, 10**-75])

def test_list_with_repeated_patterns():
    codeflash_output = sorter([1, 2, 3] * 100)
    codeflash_output = sorter([5, 4, 3, 2, 1] * 50)

# 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 edit these changes git checkout codeflash/codeflash/optimize-sorter-m7dqhw9u and push.

Codeflash

The given code is an implementation of the bubble sort algorithm, which is not very efficient with its \(O(n^2)\) time complexity. We can significantly improve this by using the built-in `sort` method in Python, which has an average-case \(O(n \log n)\) time complexity.

Here’s the optimized version.



Or if you want to sort the list in place without creating a new list.



Both `sorted()` and `sort()` methods are highly optimized and use Timsort, which is faster and more efficient in most cases compared to bubble sort.
@codeflash-ai-dev codeflash-ai-dev bot added the ⚡️ codeflash Optimization PR opened by CodeFlash AI label Feb 20, 2025
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