⚡️ Speed up function sorter by 85%

[codeflash-ai]

📄 85% (0.85x) speedup for sorter in src/bubble_sort.py

⏱️ Runtime : 1.84 second → 994 milliseconds (best of 9 runs)

📝 Explanation and details

Here is the optimized version of the Python program using the built-in sort method which is implemented as Timsort and generally faster than a manual bubble sort.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 2 Passed
🌀 Generated Regression Tests	✅ 47 Passed
⏪ Replay Tests	✅ 2 Passed
🔎 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

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

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

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

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

# Test unsorted list
def test_unsorted_list():
    codeflash_output = sorter([3, 1, 4, 2, 5])
    codeflash_output = sorter(['b', 'd', 'a', 'c'])

# Test list with duplicate elements
def test_list_with_duplicates():
    codeflash_output = sorter([4, 2, 2, 3, 1])
    codeflash_output = sorter(['a', 'c', 'b', 'a'])

# Test list with negative numbers
def test_list_with_negative_numbers():
    codeflash_output = sorter([3, -1, 4, -2, 5])
    codeflash_output = sorter([-3, -1, -4, -2, -5])

# Test list with mixed positive and negative numbers
def test_list_with_mixed_numbers():
    codeflash_output = sorter([3, -1, 4, -2, 0])
    codeflash_output = sorter([0, -1, 1, -2, 2])

# Test list with floating point numbers
def test_list_with_floats():
    codeflash_output = sorter([3.1, 2.4, 1.8, 2.2])
    codeflash_output = sorter([1.1, -1.1, 0.0, 2.2, -2.2])

# Test list with strings of different lengths
def test_list_with_strings_of_different_lengths():
    codeflash_output = sorter(['apple', 'banana', 'cherry', 'date'])
    codeflash_output = sorter(['a', 'abc', 'ab'])

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

    very_large_list = list(range(10000, 9000, -1))
    sorted_very_large_list = list(range(-9999, -8999))
    codeflash_output = sorter(very_large_list)

# Test list with mixed data types
def test_list_with_mixed_data_types():
    sorter([1, 'a', 3.5, 'b', -2])

# Test list with identical elements
def test_list_with_identical_elements():
    codeflash_output = sorter([2, 2, 2, 2])
    codeflash_output = sorter(['a', 'a', 'a', 'a'])
# 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 sorting an empty list
    codeflash_output = sorter([])

def test_single_element_list():
    # Test sorting a single-element list
    codeflash_output = sorter([1])
    codeflash_output = sorter(["a"])

def test_two_element_list():
    # Test sorting a two-element list
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter([1, 2])

def test_multiple_elements_list():
    # Test sorting a list with multiple elements
    codeflash_output = sorter([3, 1, 2])
    codeflash_output = sorter([5, 3, 8, 6, 2])

def test_already_sorted_list():
    # Test sorting 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 sorting a reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(["d", "c", "b", "a"])

def test_list_with_duplicates():
    # Test sorting a list with duplicate elements
    codeflash_output = sorter([3, 1, 2, 1])
    codeflash_output = sorter([5, 3, 3, 2, 2])

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

def test_list_with_mixed_positive_and_negative_numbers():
    # Test sorting a list with both positive and negative numbers
    codeflash_output = sorter([3, -1, 2, -2, 0])
    codeflash_output = sorter([-3, 1, -2, 2, 0])

def test_list_with_floating_point_numbers():
    # Test sorting a list with floating point numbers
    codeflash_output = sorter([3.1, 2.2, 1.3])
    codeflash_output = sorter([1.1, 1.01, 1.001])

def test_list_with_strings():
    # Test sorting a list with string elements
    codeflash_output = sorter(["banana", "apple", "cherry"])
    codeflash_output = sorter(["dog", "cat", "bat"])

def test_list_with_mixed_data_types():
    sorter([1, "apple", 3.14])

def test_large_scale():
    # Test sorting a large list of random integers
    import random
    large_list = random.sample(range(1000), 1000)
    codeflash_output = sorter(large_list)
# 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-m7tocw19 and push.