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@codeflash-ai codeflash-ai bot commented May 13, 2025

📄 149,318% (1,493.18x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 3.55 seconds 2.38 milliseconds (best of 413 runs)

📝 Explanation and details

Here is a significantly faster version of your program. The original uses an unoptimized bubble sort (O(n²)). Python provides a highly efficient built-in sort (Timsort, O(n log n)), which is much faster.

All comments and print statements are preserved as required.

This code returns the exact same output as before, but is vastly faster, especially on large lists.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 14 Passed
🌀 Generated Regression Tests 57 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests Details
- benchmarks/test_benchmark_bubble_sort.py
- test_bubble_sort.py
- test_bubble_sort_conditional.py
- test_bubble_sort_import.py
- test_bubble_sort_in_class.py
- test_bubble_sort_parametrized.py
- test_bubble_sort_parametrized_loop.py
🌀 Generated Regression Tests Details
import random  # used for generating large test cases
import string  # used for string sorting tests
import sys  # used for max/min int edge cases

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

# unit tests

# -------------------------------
# 1. BASIC TEST CASES
# -------------------------------

def test_sorter_empty_list():
    # Test sorting an empty list
    arr = []
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_single_element():
    # Test sorting a list with a single element
    arr = [42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_sorted_list():
    # Test sorting an already sorted list
    arr = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_reverse_sorted_list():
    # Test sorting a reverse-sorted list
    arr = [5, 4, 3, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unsorted_list():
    # Test sorting a typical unsorted list
    arr = [3, 1, 4, 1, 5, 9, 2, 6]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_duplicates():
    # Test sorting a list with duplicate elements
    arr = [2, 3, 2, 1, 4, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_negative_numbers():
    # Test sorting a list with negative numbers
    arr = [-3, -1, -4, -2, 0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_positive_negative():
    # Test sorting a list with both positive and negative numbers
    arr = [3, -2, -1, 0, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_all_equal_elements():
    # Test sorting a list where all elements are the same
    arr = [7, 7, 7, 7]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# -------------------------------
# 2. EDGE TEST CASES
# -------------------------------

def test_sorter_large_integers():
    # Test sorting a list with very large and very small integers
    arr = [sys.maxsize, -sys.maxsize-1, 0, 999999999, -999999999]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_floats():
    # Test sorting a list with floating point numbers
    arr = [3.14, 2.71, -1.0, 0.0, 42.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_ints_and_floats():
    # Test sorting a list with both integers and floats
    arr = [1, 2.2, 3, 1.1, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_strings():
    # Test sorting a list of strings
    arr = ["banana", "apple", "cherry"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_single_character_strings():
    # Test sorting a list of single-character strings
    arr = list("dcba")
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unicode_strings():
    # Test sorting a list with unicode strings
    arr = ["éclair", "apple", "Éclair", "banana"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_already_sorted_strings():
    # Test sorting an already sorted list of strings
    arr = ["a", "b", "c", "d"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_reverse_sorted_strings():
    # Test sorting a reverse-sorted list of strings
    arr = ["d", "c", "b", "a"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output


def test_sorter_mixed_types():
    # Test sorting a list with mixed types (should raise TypeError)
    arr = [1, "a", 3.14]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_none_elements():
    # Test sorting a list with None elements (should raise TypeError)
    arr = [None, 1, 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_boolean_elements():
    # Test sorting a list with booleans (should work, as bool is a subclass of int)
    arr = [True, False, 1, 0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_custom_objects():
    # Test sorting a list with custom objects without __lt__ should raise TypeError
    class Dummy:
        pass
    arr = [Dummy(), Dummy()]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_custom_objects_with_lt():
    # Test sorting a list with custom objects with __lt__ defined
    class Dummy:
        def __init__(self, val):
            self.val = val
        def __lt__(self, other):
            return self.val < other.val
        def __eq__(self, other):
            return self.val == other.val
        def __repr__(self):
            return f"Dummy({self.val})"
    arr = [Dummy(3), Dummy(1), Dummy(2)]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# -------------------------------
# 3. LARGE SCALE TEST CASES
# -------------------------------

def test_sorter_large_random_integers():
    # Test sorting a large list of random integers (size 1000)
    arr = random.sample(range(-10000, -9000), 1000)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_sorted_list():
    # Test sorting a large already sorted list (size 1000)
    arr = list(range(1000))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_reverse_sorted_list():
    # Test sorting a large reverse-sorted list (size 1000)
    arr = list(range(999, -1, -1))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_strings():
    # Test sorting a large list of random strings (size 500)
    arr = [
        ''.join(random.choices(string.ascii_letters + string.digits, k=10))
        for _ in range(500)
    ]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_duplicates():
    # Test sorting a large list with many duplicates (size 1000)
    arr = [random.choice([1, 2, 3, 4, 5]) for _ in range(1000)]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_floats():
    # Test sorting a large list of random floats (size 1000)
    arr = [random.uniform(-10000, 10000) for _ in range(1000)]
    codeflash_output = sorter(arr.copy()); result = codeflash_output
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import random  # used for large scale random test cases
import string  # used for string sorting test cases
import sys  # used for edge cases with large/small numbers

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

# unit tests

# -------------------
# Basic Test Cases
# -------------------

def test_sorter_basic_sorted():
    # Already sorted list should remain unchanged
    arr = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_reverse():
    # Reverse sorted list should become ascending
    arr = [5, 4, 3, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_unsorted():
    # Unsorted list should be sorted
    arr = [3, 1, 4, 5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_duplicates():
    # List with duplicates should sort and preserve duplicates
    arr = [4, 2, 2, 3, 1, 4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_negative_numbers():
    # List with negative numbers
    arr = [0, -1, -3, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_floats():
    # List with floats and integers
    arr = [2.5, 3, 1.1, 2, 0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_single_element():
    # Single element list should remain unchanged
    arr = [42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_two_elements():
    # Two elements, unsorted
    arr = [5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# -------------------
# Edge Test Cases
# -------------------

def test_sorter_edge_empty():
    # Empty list should return empty list
    arr = []
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_all_equal():
    # All elements equal
    arr = [7, 7, 7, 7]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_large_and_small_numbers():
    # List with very large and very small numbers
    arr = [sys.maxsize, -sys.maxsize-1, 0, 999999999, -999999999]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_strings():
    # Sorting strings lexicographically
    arr = ["banana", "apple", "cherry", "date"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_mixed_case_strings():
    # Sorting strings with mixed case
    arr = ["Banana", "apple", "Cherry", "date"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_unicode_strings():
    # Sorting strings with unicode characters
    arr = ["éclair", "apple", "Éclair", "banana"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_negative_floats():
    # List with negative floats
    arr = [-2.5, -1.1, -3.3, 0.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_large_float_range():
    # List with very large and very small floats
    arr = [1e308, -1e308, 1e-308, -1e-308, 0.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_already_sorted_large():
    # Already sorted large list
    arr = list(range(100))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_reverse_sorted_large():
    # Reverse sorted large list
    arr = list(range(99, -1, -1))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_edge_mutation():
    # Ensure the function mutates (sorts) the input list in-place
    arr = [3, 2, 1]
    sorter(arr)

# -------------------
# Large Scale Test Cases
# -------------------

def test_sorter_large_random_integers():
    # Large list of random integers
    arr = [random.randint(-1000, 1000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_random_floats():
    # Large list of random floats
    arr = [random.uniform(-1e6, 1e6) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_random_strings():
    # Large list of random strings
    arr = [
        ''.join(random.choices(string.ascii_letters, k=10))
        for _ in range(1000)
    ]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_duplicates():
    # Large list with many duplicates
    arr = [random.choice([1, 2, 3, 4, 5]) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_already_sorted():
    # Large already sorted list
    arr = list(range(1000))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_reverse_sorted():
    # Large reverse sorted list
    arr = list(range(999, -1, -1))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_all_equal():
    # Large list with all elements equal
    arr = [42] * 1000
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_edge_case_numbers():
    # Large list with edge case numbers (mix of large, small, and zero)
    arr = [sys.maxsize, -sys.maxsize-1, 0] * 333 + [0]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# -------------------
# Mutation Testing Cases
# -------------------

def test_sorter_mutation_testing_unsorted():
    # If the function doesn't sort properly, this will fail
    arr = [10, 2, 5, 3, 7]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mutation_testing_stability():
    # Check that sort is stable for equal elements (not guaranteed for bubble sort, but for ints it should be fine)
    arr = [3, 2, 2, 1, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output
# 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-man49iyo and push.

Codeflash

Here is a significantly faster version of your program. The original uses an unoptimized bubble sort (O(n²)). Python provides a highly efficient built-in sort (Timsort, O(n log n)), which is much faster. 

All comments and print statements are preserved as required.


This code returns the exact same output as before, but is vastly faster, especially on large lists.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label May 13, 2025
@codeflash-ai codeflash-ai bot requested a review from zomglings May 13, 2025 23:02
@zomglings zomglings closed this May 13, 2025
@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-sorter-man49iyo branch May 13, 2025 23:16
@zomglings
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Was just testing PR behavior.

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⚡️ codeflash Optimization PR opened by Codeflash AI

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