⚡️ Speed up function sorter3 by 4,514,668%

[codeflash-ai-dev]

📄 4,514,668% (45,146.68x) speedup for sorter3 in bubble_sort.py

⏱️ Runtime : 4.75 seconds → 105 microseconds (best of 746 runs)

📝 Explanation and details

The provided code is an implementation of the Bubble Sort algorithm, which is known for its simplicity but also for its inefficiency with a time complexity of O(n^2). We can significantly improve the performance by using a more efficient sorting algorithm such as Timsort, which is Python’s built-in sorting algorithm implemented in the sorted method and list.sort() method.

Here is the optimized version of your program using Python's built-in sort method.

The sorted function in Python uses Timsort, which has a time complexity of O(n log n). It is highly optimized and generally performs better than Bubble Sort for most scenarios.

If you want to use an in-place sort to ensure the input list itself is modified, you can use the sort method.

This will achieve the same result more efficiently.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 67 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 sorter3

# unit tests

# Basic Test Cases
def test_empty_list():
    codeflash_output = sorter3([])

def test_single_element_list():
    codeflash_output = sorter3([1])
    codeflash_output = sorter3(['a'])

def test_already_sorted_list():
    codeflash_output = sorter3([1, 2, 3, 4, 5])
    codeflash_output = sorter3(['a', 'b', 'c', 'd'])

def test_reverse_sorted_list():
    codeflash_output = sorter3([5, 4, 3, 2, 1])
    codeflash_output = sorter3(['d', 'c', 'b', 'a'])

def test_list_with_duplicates():
    codeflash_output = sorter3([3, 1, 2, 3, 1])
    codeflash_output = sorter3(['b', 'a', 'b', 'a'])

def test_list_with_negative_numbers():
    codeflash_output = sorter3([3, -1, 2, -3, 1])
    codeflash_output = sorter3([-5, -10, 0, 5, 10])

def test_list_with_mixed_positive_and_negative_numbers():
    codeflash_output = sorter3([3, -1, 2, 0, -3, 1])

def test_list_with_floating_point_numbers():
    codeflash_output = sorter3([3.1, 2.2, 5.5, 1.1])
    codeflash_output = sorter3([1.5, -2.3, 3.7, 0.0])

def test_list_with_strings_of_different_lengths():
    codeflash_output = sorter3(['apple', 'banana', 'cherry', 'date'])
    codeflash_output = sorter3(['dog', 'cat', 'elephant', 'bee'])

# Large Scale Test Cases
def test_large_list():
    codeflash_output = sorter3([i for i in range(1000, 0, -1)])
    codeflash_output = sorter3([i for i in range(10000, 9000, -1)])

def test_list_with_repeated_elements():
    codeflash_output = sorter3([5, 5, 5, 5, 5])
    codeflash_output = sorter3([2, 3, 2, 3, 2, 3])

def test_list_with_special_characters():
    codeflash_output = sorter3(['!', '@', '#', '])
    codeflash_output = sorter3(['z', '!', 'a', '@'])

# Edge Test Cases

def test_list_with_inf_values():
    codeflash_output = sorter3([3, float('inf'), 2, float('-inf'), 1])
    codeflash_output = sorter3([float('inf'), float('-inf'), float('inf'), float('-inf')])

def test_list_with_mixed_numeric_types():
    codeflash_output = sorter3([3, 2.2, 5, 1.1])
    codeflash_output = sorter3([1, 2.5, 3, 4.0])

def test_list_with_boolean_and_numeric_values():
    codeflash_output = sorter3([True, False, 1, 0])
    codeflash_output = sorter3([1, True, 0, False])

def test_list_with_large_numbers():
    codeflash_output = sorter3([1e10, 1e5, 1e15, 1e3])
    codeflash_output = sorter3([1e-10, 1e-5, 1e-15, 1e-3])

def test_list_with_complex_numbers():
    with pytest.raises(TypeError):
        sorter3([(1+2j), (3+4j), (2+3j)])
    with pytest.raises(TypeError):
        sorter3([(1+1j), (1+0j), (0+1j)])

def test_list_with_mixed_data_types_including_none():
    with pytest.raises(TypeError):
        sorter3([3, None, 'a', 2])
    with pytest.raises(TypeError):
        sorter3([None, 1, 2, None])

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

    codeflash_output = sorter3([CustomObject(3), CustomObject(1), CustomObject(2)])

    class NonComparableObject:
        def __init__(self, value):
            self.value = value

    with pytest.raises(TypeError):
        sorter3([NonComparableObject(3), NonComparableObject(1), NonComparableObject(2)])



def test_list_with_immutable_and_mutable_elements():
    with pytest.raises(TypeError):
        sorter3([1, [2, 3], 4])
    with pytest.raises(TypeError):
        sorter3(['a', {'key': 'value'}, 'b'])



import pytest  # used for our unit tests
from bubble_sort import sorter3

# unit tests

def test_basic_functionality():
    # Simple Unsorted List
    codeflash_output = sorter3([3, 1, 2])
    codeflash_output = sorter3([5, 3, 8, 4, 2])
    
    # Already Sorted List
    codeflash_output = sorter3([1, 2, 3])
    codeflash_output = sorter3([2, 4, 6, 8])
    
    # Reverse Sorted List
    codeflash_output = sorter3([3, 2, 1])
    codeflash_output = sorter3([9, 7, 5, 3, 1])

def test_edge_cases():
    # Empty List
    codeflash_output = sorter3([])
    
    # Single Element List
    codeflash_output = sorter3([1])
    codeflash_output = sorter3([99])
    
    # Two Elements List
    codeflash_output = sorter3([2, 1])
    codeflash_output = sorter3([1, 2])

def test_duplicates():
    # Duplicates Present
    codeflash_output = sorter3([3, 1, 2, 2, 3])
    codeflash_output = sorter3([5, 3, 3, 5, 1])

def test_negative_numbers():
    # Negative and Positive Numbers
    codeflash_output = sorter3([-1, -3, 2, 1])
    codeflash_output = sorter3([0, -1, 3, -2])
    
    # All Negative Numbers
    codeflash_output = sorter3([-3, -1, -2])
    codeflash_output = sorter3([-5, -4, -3, -2, -1])

def test_floats():
    # Mixed Integers and Floats
    codeflash_output = sorter3([1.1, 2.2, 0.5])
    codeflash_output = sorter3([3.3, 1.1, 2.2, 3.3])

def test_large_lists():
    import random
    random.seed(0)  # for reproducibility
    
    # Large List for Performance Testing
    large_list = random.sample(range(1000), 1000)
    codeflash_output = sorter3(large_list)
    
    large_desc_list = list(range(1000, 0, -1))
    codeflash_output = sorter3(large_desc_list)

def test_strings():
    # Alphabetical Order
    codeflash_output = sorter3(['banana', 'apple', 'cherry'])
    codeflash_output = sorter3(['dog', 'cat', 'bird'])

def test_mixed_data_types():
    # Mixed Data Types (should raise TypeError)
    with pytest.raises(TypeError):
        sorter3([1, 'two', 3])

def test_stability():
    # Stability of Sorting
    codeflash_output = sorter3([(2, 'a'), (1, 'b'), (2, 'c')])

def test_identical_elements():
    # All Elements Identical
    codeflash_output = sorter3([1, 1, 1])
    codeflash_output = sorter3([5, 5, 5, 5])

# 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/optimize-sorter3-m7e0p2fy and push.