⚡️ Speed up function sorter by 158,719% in bubble_sort.py

[codeflash-ai]

📄 sorter() in bubble_sort.py

📈 Performance improved by 158,719% (1,587.19x faster)

⏱️ Runtime went down from 77.2 milliseconds to 48.6 microseconds (best of 1572 runs)

Explanation and details

To optimize the sorting program, we can switch from the bubble sort algorithm to the more efficient TimSort algorithm, which is the default sorting algorithm in Python. This will reduce the time complexity from O(n^2) to O(n log n).

Using the built-in .sort() method leverages TimSort, which is much faster for larger lists.

Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 35 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

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

# unit tests

def test_already_sorted():
    # Test with an already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter([10, 20, 30, 40, 50])
    # Outputs were verified to be equal to the original implementation

def test_reverse_sorted():
    # Test with a reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter([50, 40, 30, 20, 10])
    # Outputs were verified to be equal to the original implementation

def test_unsorted_list():
    # Test with an unsorted list
    codeflash_output = sorter([3, 1, 4, 5, 2])
    codeflash_output = sorter([10, 5, 20, 15, 0])
    # Outputs were verified to be equal to the original implementation

def test_single_element():
    # Test with a single element list
    codeflash_output = sorter([1])
    # Outputs were verified to be equal to the original implementation

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

def test_all_elements_equal():
    # Test with all elements equal
    codeflash_output = sorter([7, 7, 7, 7, 7])
    # Outputs were verified to be equal to the original implementation

def test_negative_numbers():
    # Test with a list containing negative numbers
    codeflash_output = sorter([-1, -3, -2, -5, -4])
    codeflash_output = sorter([-10, 0, 10, -20, 20])
    # Outputs were verified to be equal to the original implementation

def test_floating_point_numbers():
    # Test with a list containing floating point numbers
    codeflash_output = sorter([1.1, 3.3, 2.2, 5.5, 4.4])
    codeflash_output = sorter([10.5, 5.5, 20.5, 15.5, 0.5])
    # Outputs were verified to be equal to the original implementation

def test_large_list_random():
    # Test with a large list of random numbers
    large_list = list(range(1000, 0, -1))  # 1000 to 1
    sorted_large_list = list(range(1, 1001))  # 1 to 1000
    codeflash_output = sorter(large_list)
    # Outputs were verified to be equal to the original implementation

def test_large_list_repeated_patterns():
    # Test with a large list with repeated patterns
    pattern_list = [1, 2, 3] * 333 + [1, 2]  # pattern repeated to make 1000 elements
    sorted_pattern_list = [1, 1, 1] + [2, 2, 2] + [3, 3, 3] * 333
    codeflash_output = sorter(pattern_list)
    # Outputs were verified to be equal to the original implementation

def test_list_with_duplicates():
    # Test with a list containing duplicates
    codeflash_output = sorter([1, 2, 2, 3, 1])
    codeflash_output = sorter([5, 5, 5, 5, 5])
    # Outputs were verified to be equal to the original implementation

def test_max_min_integers():
    # Test with a list containing maximum and minimum integers
    codeflash_output = sorter([0, -2147483648, 2147483647])
    # Outputs were verified to be equal to the original implementation

def test_non_comparable_elements():
    # Test with a list containing non-comparable elements
    with pytest.raises(TypeError):
        sorter([1, 'a', 3])
    with pytest.raises(TypeError):
        sorter([None, 1, 2])
    # Outputs were verified to be equal to the original implementation
import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

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

def test_single_element_list():
    # Test sorting a single element list should return the same list
    codeflash_output = sorter([1])
    # Outputs were verified to be equal to the original implementation

def test_already_sorted_list():
    # Test sorting an already sorted list should return the same 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 sorting a reverse sorted list should return a 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 sorting an unsorted list should return a sorted list
    codeflash_output = sorter([3, 1, 4, 5, 2])
    # Outputs were verified to be equal to the original implementation

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

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

def test_list_with_negative_numbers():
    # Test sorting a list with negative numbers
    codeflash_output = sorter([-3, -1, -4, -2])
    # Outputs were verified to be equal to the original implementation

def test_list_with_mixed_positive_and_negative_numbers():
    # Test sorting a list with mixed positive and negative numbers
    codeflash_output = sorter([-1, 2, -3, 4, 0])
    # Outputs were verified to be equal to the original implementation

def test_list_with_floating_point_numbers():
    # Test sorting a list with floating point numbers
    codeflash_output = sorter([1.1, 2.2, 0.5, 3.3])
    # Outputs were verified to be equal to the original implementation

def test_list_with_strings():
    # Test sorting a list of strings
    codeflash_output = sorter(['banana', 'apple', 'cherry'])
    # Outputs were verified to be equal to the original implementation

def test_list_with_mixed_data_types():
    # Test sorting a list with mixed data types should raise a TypeError
    with pytest.raises(TypeError):
        sorter([1, 'apple', 3.5])
    # Outputs were verified to be equal to the original implementation

def test_large_list():
    # Test sorting a large list of 10,000 random integers
    import random
    large_list = random.sample(range(1000), 1000)  # Generate a list of 10,000 unique random integers
    codeflash_output = sorter(large_list)
    # Outputs were verified to be equal to the original implementation

def test_list_with_none_values():
    # Test sorting a list with None values should raise a TypeError
    with pytest.raises(TypeError):
        sorter([3, None, 2, None, 1])
    # Outputs were verified to be equal to the original implementation

def test_list_with_special_characters():
    # Test sorting a list with special characters
    codeflash_output = sorter(['!', '@', '#', '])
    # Outputs were verified to be equal to the original implementation

🔘 (none found) − ⏪ Replay Tests