⚡️ Speed up function sorter by 13%

[codeflash-ai]

📄 13% (0.13x) speedup for sorter in src/bubble_sort.py

⏱️ Runtime : 943 milliseconds → 833 milliseconds (best of 9 runs)

📝 Explanation and details

To optimize the runtime of this sorting function, we should use a more efficient sorting algorithm. The existing implementation is a basic Bubble Sort, which has a time complexity of (O(n^2)). A more efficient algorithm is the Timsort, which is the algorithm used by Python's built-in sort() method and has a time complexity of (O(n \log n)).

Here's the improved version.

This function now leverages Python's highly optimized built-in sorting function, making it much faster and more efficient both in terms of time complexity and maintainability.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 2 Passed
🌀 Generated Regression Tests	✅ 49 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

⚙️ Existing Unit Tests Details

- benchmarks/test_benchmark_sort.py
- benchmarks/test_plugin_py__replay_test_0.py
- benchmarks/test_plugin_py__replay_test_1.py
- test_sort.py

🌀 Generated Regression Tests Details

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

# unit tests

# Basic Functionality
def test_basic_unsorted_list():
    codeflash_output = sorter([3, 1, 2])

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

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

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

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

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

# Lists with Duplicate Elements
def test_list_with_duplicates():
    codeflash_output = sorter([3, 1, 2, 2, 3])

def test_list_all_same_elements():
    codeflash_output = sorter([1, 1, 1])

# Lists with Negative Numbers
def test_list_with_negative_numbers():
    codeflash_output = sorter([3, -1, 2, -2])

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

# Mixed Data Types
def test_list_with_integers_and_floats():
    codeflash_output = sorter([1.1, 2, 3.3, 1])

def test_list_with_only_floats():
    codeflash_output = sorter([2.2, 1.1, 3.3])

# Large Scale Test Cases
def test_large_list_random_numbers():
    large_list = list(range(1000, 0, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

def test_large_list_sorted_numbers():
    large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

def test_large_list_reverse_sorted_numbers():
    large_list = list(range(1000, 0, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

# Special Cases
def test_list_with_zero():
    codeflash_output = sorter([0, 1, -1])

def test_list_with_large_numbers():
    codeflash_output = sorter([999999999, 1, 999999998])

# Boundary Values
def test_list_with_max_and_min_integers():
    codeflash_output = sorter([2147483647, -2147483648, 0])

def test_list_with_max_and_min_floats():
    codeflash_output = sorter([1.7e308, -1.7e308, 0.0])

# Rare or Unexpected Edge Cases
def test_list_with_strings():
    codeflash_output = sorter(["apple", "banana", "cherry"])

def test_list_with_nan():
    codeflash_output = sorter([1.0, float('nan'), 2.0])

def test_list_with_infinity():
    codeflash_output = sorter([1.0, float('inf'), -1.0, float('-inf')])

def test_list_with_complex_numbers():
    sorter([1 + 2j, 3 + 4j, 2 + 3j])

def test_list_with_booleans():
    codeflash_output = sorter([True, False, True])

def test_list_with_nested_lists():
    sorter([[1, 2], [3, 4], [2, 3]])

def test_list_with_special_characters():
    codeflash_output = sorter(['!', '@', '#'])

def test_list_with_mixed_data_types():
    sorter([1, 2.2, "3"])

def test_list_with_custom_objects():
    class CustomObject:
        def __init__(self, value):
            self.value = value
    sorter([CustomObject(1), CustomObject(2)])

def test_list_with_mutable_elements():
    sorter([{1: 'a'}, {2: 'b'}])
# 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 src.bubble_sort import sorter

# unit tests

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

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

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

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

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

def test_large_list():
    # Test case for a large list
    large_list = list(range(10000, 9000, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

def test_list_with_floating_point_numbers():
    # Test case for a list with floating point numbers
    codeflash_output = sorter([3.1, 2.4, 1.5, 4.6, 2.2])
    codeflash_output = sorter([-1.1, 0.0, 1.1, -2.2, 2.2])

def test_list_with_repeated_elements():
    # Test case for a list with repeated elements
    codeflash_output = sorter([1, 1, 1, 1, 1])
    codeflash_output = sorter(['a', 'a', 'a', 'a'])

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

def test_list_with_strings_of_different_lengths():
    # Test case for a list with strings of different lengths
    codeflash_output = sorter(['apple', 'banana', 'cherry', 'date'])
    codeflash_output = sorter(['a', 'ab', 'abc', 'abcd'])
# 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-m7tlz8gj and push.