⚡️ Speed up function sorter by 10,912,287% in src/bubble_sort.py

[codeflash-ai]

📄 sorter() in src/bubble_sort.py

📈 Performance improved by 10,912,287% (109,122.87x faster)

⏱️ Runtime went down from 4.10 seconds to 37.5 microseconds

Explanation and details

Certainly! The given implementation uses a basic version of Bubble Sort, which has a time complexity of (O(n^2)) in all cases. A more optimal sorting algorithm, such as Timsort (used by Python’s built-in sorted() function and list.sort() method), provides a much better average-case runtime.

Here’s the optimized version of your program.

The sorted() function in Python is highly optimized and generally performs better than the manually implemented Bubble Sort. The underlying algorithm, Timsort, has a time complexity of (O(n \log n)) on average and for worst-case scenarios. This rewritten function will run significantly faster for larger lists.

If you prefer to use in-place sorting to avoid the overhead of creating a new list, you can use the sort() method of the list object.

Both sorted() and list.sort() are highly efficient and optimized for real-world data, making them ideal choices for sorting in Python.

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 16 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

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

# unit tests

def test_empty_list():
    # Test empty list
    codeflash_output = sorter([])
    # Outputs were verified to be equal to the original implementation

def test_single_element_list():
    # Test single element list
    codeflash_output = sorter([5])
    # Outputs were verified to be equal to the original implementation

def test_two_elements_list():
    # Test two elements list
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter([1, 2])
    # Outputs were verified to be equal to the original implementation

def test_already_sorted_list():
    # Test already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    # Outputs were verified to be equal to the original implementation

def test_reverse_sorted_list():
    # Test reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    # Outputs were verified to be equal to the original implementation

def test_unsorted_list():
    # Test unsorted list
    codeflash_output = sorter([4, 2, 5, 1, 3])
    # Outputs were verified to be equal to the original implementation

def test_list_with_duplicates():
    # Test list with duplicate elements
    codeflash_output = sorter([3, 1, 2, 3, 1])
    # Outputs were verified to be equal to the original implementation

def test_list_with_all_same_elements():
    # Test list with all elements the same
    codeflash_output = sorter([2, 2, 2, 2, 2])
    # Outputs were verified to be equal to the original implementation

def test_list_with_negative_numbers():
    # Test list with negative numbers
    codeflash_output = sorter([3, -1, 2, -5, 0])
    # Outputs were verified to be equal to the original implementation

def test_list_with_mixed_positive_and_negative_numbers():
    # Test list with mixed positive and negative numbers
    codeflash_output = sorter([-3, 2, -1, 5, 0])
    # Outputs were verified to be equal to the original implementation

def test_list_with_floating_point_numbers():
    # Test list with floating point numbers
    codeflash_output = sorter([3.1, 2.2, 5.5, 1.0, 4.8])
    # Outputs were verified to be equal to the original implementation

def test_list_with_mixed_integers_and_floats():
    # Test list with mixed integers and floats
    codeflash_output = sorter([3, 1.5, 2, 4.5, 0])
    # Outputs were verified to be equal to the original implementation

def test_large_list():
    # Test large list with 1000 elements in random order
    large_list = list(range(1000, 0, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

    # Test large list with 10000 elements in reverse order
    large_list_10k = list(range(10000, 0, -1))
    sorted_large_list_10k = list(range(1, 10001))
    codeflash_output = sorter(large_list_10k)
    # Outputs were verified to be equal to the original implementation

def test_list_with_special_values():
    # Test list with special values like inf, -inf, and NaN
    import math
    special_values_list = [float('inf'), 1, float('-inf'), 0, float('nan')]
    sorted_special_values_list = [float('-inf'), 0, 1, float('inf'), float('nan')]
    codeflash_output = sorter(special_values_list)
    # Outputs were verified to be equal to the original implementation

# Running the tests
if __name__ == "__main__":
    pytest.main()

🔘 (none found) − ⏪ Replay Tests