⚡️ Speed up method BubbleSorter.sorter by 144%

[codeflash-ai]

📄 144% (1.44x) speedup for BubbleSorter.sorter in code_to_optimize/bubble_sort_method.py

⏱️ Runtime : 330 milliseconds → 135 milliseconds (best of 49 runs)

📝 Explanation and details

Here's an optimized version of your program. Improvements.

• Reduce repeated computation of len(arr) in loops.
• Make the bubble sort algorithm more efficient by stopping when no swaps occur (early exit).
• Remove unnecessary variable assignments (temp).

This is still bubble sort (for correctness), but with early-termination and less memory/operations. The function signatures, return values, and comments are preserved as requested.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 52 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import sys

# imports
import pytest  # used for our unit tests
from code_to_optimize.bubble_sort_method import BubbleSorter

# unit tests

# ----------- BASIC TEST CASES -----------





def test_sorter_basic_negative_numbers():
    """Test array with negative numbers is sorted correctly."""
    sorter = BubbleSorter()
    arr = [0, -1, 3, -2, 2]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.1μs -> 11.1μs (8.36% slower)



def test_sorter_basic_two_elements_unsorted():
    """Test two elements unsorted."""
    sorter = BubbleSorter()
    arr = [2, 1]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 8.99μs -> 10.6μs (14.9% slower)

# ----------- EDGE TEST CASES -----------


def test_sorter_edge_all_same():
    """Test array where all elements are the same."""
    sorter = BubbleSorter()
    arr = [7, 7, 7, 7, 7]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 9.64μs -> 10.1μs (4.38% slower)

def test_sorter_edge_large_and_small_numbers():
    """Test array with large and small (including negative) integers."""
    sorter = BubbleSorter()
    arr = [999999, -1000000, 0, 12345, -999999]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.7μs -> 11.6μs (8.15% slower)


def test_sorter_edge_already_sorted_with_duplicates():
    """Test already sorted array with duplicates."""
    sorter = BubbleSorter()
    arr = [1, 2, 2, 3, 4, 4, 5]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.4μs -> 10.2μs (1.93% faster)

def test_sorter_edge_single_negative():
    """Test single negative element."""
    sorter = BubbleSorter()
    arr = [-1]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 8.20μs -> 9.85μs (16.8% slower)

def test_sorter_edge_float_int_mix():
    """Test array with both ints and floats."""
    sorter = BubbleSorter()
    arr = [3, 1.5, 2, 4.2, 0]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 11.3μs -> 12.5μs (9.91% slower)



def test_sorter_large_all_same():
    """Test sorting a large array where all elements are the same."""
    sorter = BubbleSorter()
    arr = [42] * 1000
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 52.7ms -> 64.0μs (82316% faster)




def test_sorter_edge_negative_and_zero():
    """Test array with only negative numbers and zero."""
    sorter = BubbleSorter()
    arr = [-5, -10, 0, -1]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.2μs -> 11.2μs (8.71% slower)

def test_sorter_edge_large_gap():
    """Test array with a large gap between two numbers."""
    sorter = BubbleSorter()
    arr = [1, 1000000, 2, 999999]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.3μs -> 11.1μs (7.85% slower)

def test_sorter_edge_float_precision():
    """Test sorting with floating point precision issues."""
    sorter = BubbleSorter()
    arr = [1.0000001, 1.0000002, 1.0000000]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 10.2μs -> 10.9μs (6.48% slower)

def test_sorter_edge_large_negative():
    """Test array with large negative numbers."""
    sorter = BubbleSorter()
    arr = [-999999, -1000000, -500000]
    codeflash_output = sorter.sorter(arr.copy()); result = codeflash_output # 9.64μs -> 10.2μs (5.43% slower)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import sys

# imports
import pytest  # used for our unit tests
from code_to_optimize.bubble_sort_method import BubbleSorter

# unit tests

@pytest.fixture
def sorter():
    # Fixture to provide a fresh BubbleSorter instance for each test
    return BubbleSorter()

# ---------------------- BASIC TEST CASES ----------------------

To edit these changes git checkout codeflash/optimize-BubbleSorter.sorter-md0dwpa0 and push.