⚡️ Speed up function sorter by 104,143%

[codeflash-ai]

📄 104,143% (1,041.43x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 4.87 seconds → 4.68 milliseconds (best of 66 runs)

📝 Explanation and details

Here's a heavily optimized version of your sort code using the built-in highly tuned Timsort algorithm that Python's list.sort() provides.
This will run vastly faster than the explicit nested loops (which are O(n²) time), while fully preserving your print statements and output.

Explanation:

• The entire manual nested loop sort is replaced by arr.sort(), which is orders of magnitude faster for all but the tiniest lists.
• Output and signature are preserved.
• No memory overhead is introduced (sorts in-place as before).

If you need to preserve the "swapping in place" mechanism for educational purposes, let me know, and I can optimize the bubble sort as much as possible instead.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 13 Passed
🌀 Generated Regression Tests	✅ 57 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	undefined

⚙️ Existing Unit Tests Details

- 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 random lists
import string  # used for string sorting tests
import sys  # for edge cases with max/min values

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

# unit tests

# =========================
# Basic Test Cases
# =========================

def test_sorter_simple_sorted():
    """Test already sorted list remains unchanged."""
    arr = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_simple_reverse():
    """Test reverse sorted list is properly sorted."""
    arr = [5, 4, 3, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_simple_unsorted():
    """Test a typical unsorted list."""
    arr = [3, 1, 4, 5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_with_negatives():
    """Test list with negative and positive numbers."""
    arr = [0, -1, 5, -3, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_two_elements_sorted():
    """Test list with two elements already sorted."""
    arr = [1, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_two_elements_unsorted():
    """Test list with two elements unsorted."""
    arr = [2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# =========================
# Edge Test Cases
# =========================

def test_sorter_empty_list():
    """Test empty list returns empty list."""
    arr = []
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_all_identical():
    """Test list where all elements are the same."""
    arr = [7] * 10
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_already_sorted_large_gap():
    """Test sorted list with large gaps between numbers."""
    arr = [1, 100, 1000, 10000]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_min_max_int():
    """Test list containing sys.maxsize and -sys.maxsize-1."""
    arr = [0, sys.maxsize, -sys.maxsize-1, 42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_strings_with_case():
    """Test sorting strings with different cases (upper/lower)."""
    arr = ["Banana", "apple", "Cherry", "date"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_floats():
    """Test sorting a list of floats."""
    arr = [3.1, 2.4, -1.5, 0.0, 2.4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_int_float():
    """Test sorting a list with both ints and floats."""
    arr = [1, 2.2, 3, 0.5, -2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mutation():
    """Test that the original list is mutated (in-place sort)."""
    arr = [3, 2, 1]
    sorter(arr)

def test_sorter_large_negative_positive():
    """Test list with very large negative and positive numbers."""
    arr = [10**10, -10**10, 0, 999999999, -999999999]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# =========================
# Large Scale Test Cases
# =========================

def test_sorter_large_random_list():
    """Test sorting a large random list of 1000 integers."""
    arr = [random.randint(-10000, 10000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_sorted_list():
    """Test sorting a large already sorted list."""
    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."""
    arr = list(range(999, -1, -1))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_duplicates():
    """Test sorting a large list with many duplicate values."""
    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_strings():
    """Test sorting a large list of random strings."""
    arr = [
        ''.join(random.choices(string.ascii_letters, k=5))
        for _ in range(500)
    ]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_floats():
    """Test sorting a large list of random floats."""
    arr = [random.uniform(-1000, 1000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# =========================
# Type Error/Invalid Input Cases
# =========================

def test_sorter_type_error_on_mixed_types():
    """Test that sorting a list with incompatible types raises TypeError."""
    arr = [1, "two", 3]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_type_error_on_none():
    """Test that sorting a list with None and int raises TypeError."""
    arr = [None, 1, 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())
# 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 generating large random lists
import string  # used for string sorting tests
import sys  # used for edge value tests

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

# unit tests

# --- Basic Test Cases ---

def test_empty_list():
    # Test sorting an empty list
    arr = []
    expected = []
    codeflash_output = sorter(arr.copy())

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

def test_sorted_list():
    # Test sorting a list that is already sorted
    arr = [1, 2, 3, 4, 5]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy())

def test_reverse_sorted_list():
    # Test sorting a list sorted in reverse order
    arr = [5, 4, 3, 2, 1]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy())

def test_unsorted_list():
    # Test sorting a typical unsorted list
    arr = [3, 1, 4, 5, 2]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy())

def test_duplicates():
    # Test sorting a list with duplicate elements
    arr = [4, 2, 5, 2, 3, 4, 1]
    expected = [1, 2, 2, 3, 4, 4, 5]
    codeflash_output = sorter(arr.copy())

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

def test_negative_numbers():
    # Test sorting a list with negative numbers
    arr = [3, -1, 2, -5, 0]
    expected = [-5, -1, 0, 2, 3]
    codeflash_output = sorter(arr.copy())

def test_mixed_positive_and_negative():
    # Test sorting a list with both positive and negative numbers
    arr = [-10, 0, 5, -3, 2]
    expected = [-10, -3, 0, 2, 5]
    codeflash_output = sorter(arr.copy())

def test_floats():
    # Test sorting a list with floating point numbers
    arr = [2.2, 3.3, 1.1, 5.5, 4.4]
    expected = [1.1, 2.2, 3.3, 4.4, 5.5]
    codeflash_output = sorter(arr.copy())

def test_mixed_ints_and_floats():
    # Test sorting a list with both integers and floats
    arr = [3, 1.5, 2, 4.0, 0]
    expected = [0, 1.5, 2, 3, 4.0]
    codeflash_output = sorter(arr.copy())

def test_strings():
    # Test sorting a list of strings
    arr = ['banana', 'apple', 'cherry', 'date']
    expected = ['apple', 'banana', 'cherry', 'date']
    codeflash_output = sorter(arr.copy())

def test_strings_with_duplicates():
    # Test sorting a list of strings with duplicates
    arr = ['apple', 'banana', 'apple', 'date']
    expected = ['apple', 'apple', 'banana', 'date']
    codeflash_output = sorter(arr.copy())

def test_case_sensitive_strings():
    # Test sorting a list of strings with mixed case (lexicographical order)
    arr = ['banana', 'Apple', 'cherry', 'Date']
    expected = ['Apple', 'Date', 'banana', 'cherry']
    codeflash_output = sorter(arr.copy())

# --- Edge Test Cases ---

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

def test_large_floats():
    # Test sorting a list with very large and very small floats
    arr = [1e308, -1e308, 0.0, 1.5e307, -1.5e307]
    expected = [-1e308, -1.5e307, 0.0, 1.5e307, 1e308]
    codeflash_output = sorter(arr.copy())

def test_nan_and_infinities():
    # Test sorting a list with NaN and infinity values
    arr = [float('nan'), float('inf'), -float('inf'), 1, 0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_empty_string():
    # Test sorting a list with empty strings and non-empty strings
    arr = ['', 'a', 'abc', '']
    expected = ['', '', 'a', 'abc']
    codeflash_output = sorter(arr.copy())

def test_unicode_strings():
    # Test sorting a list with unicode characters
    arr = ['éclair', 'apple', 'Éclair', 'banana']
    expected = ['Éclair', 'apple', 'banana', 'éclair']
    codeflash_output = sorter(arr.copy())

def test_list_of_lists():
    # Test sorting a list of lists (lexicographical order)
    arr = [[2, 3], [1], [2, 2], [1, 2]]
    expected = [[1], [1, 2], [2, 2], [2, 3]]
    codeflash_output = sorter(arr.copy())

def test_list_of_tuples():
    # Test sorting a list of tuples
    arr = [(2, 3), (1,), (2, 2), (1, 2)]
    expected = [(1,), (1, 2), (2, 2), (2, 3)]
    codeflash_output = sorter(arr.copy())

def test_list_with_none_raises():
    # Test that sorting a list with None and ints raises TypeError
    arr = [1, None, 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_list_with_incomparable_types_raises():
    # Test that sorting a list with incomparable types raises TypeError
    arr = [1, 'a', 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_mutation_of_input():
    # Test that the input list is mutated (since the implementation sorts in-place)
    arr = [2, 1]
    sorter(arr)

# --- Large Scale Test Cases ---

def test_large_random_integers():
    # Test sorting a large list of random integers
    arr = [random.randint(-10000, 10000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_sorted_input():
    # Test sorting a large already sorted list
    arr = list(range(1000))
    expected = list(range(1000))
    codeflash_output = sorter(arr.copy())

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

def test_large_strings():
    # Test sorting a large list of random strings
    arr = [''.join(random.choices(string.ascii_letters, k=5)) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_duplicates():
    # Test sorting a 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())

def test_large_floats():
    # Test sorting a large list of random floats
    arr = [random.uniform(-10000, 10000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_list_of_lists():
    # Test sorting a large list of lists
    arr = [[random.randint(0, 10), random.randint(0, 10)] for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_list_of_tuples():
    # Test sorting a large list of tuples
    arr = [(random.randint(0, 10), random.randint(0, 10)) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())
# 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-mbg4lkhe and push.