⚡️ Speed up function sorter by 158,006%

[codeflash-ai]

📄 158,006% (1,580.06x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 3.45 seconds → 2.18 milliseconds (best of 511 runs)

📝 Explanation and details

Here’s a much faster version of your sorter function, using Python’s built‐in sort method, which implements Timsort (far more efficient than the original bubble sort loop).

Explanation of optimizations:

• Replaces the O(N²) bubble sort with the highly optimized O(N log N) list.sort() built-in.
• The function signature and print statements are unchanged per your requirements.
• Works in place like the original. Return value is identical.

If you need to avoid modifying the input list in-place, let me know!

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 20 Passed
🌀 Generated Regression Tests	✅ 61 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

⚙️ Existing Unit Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
benchmarks/test_benchmark_bubble_sort.py::test_sort2	7.14ms	16.5μs	✅43157%
test_bubble_sort.py::test_sort	827ms	137μs	✅601405%
test_bubble_sort_conditional.py::test_sort	5.54μs	3.04μs	✅82.2%
test_bubble_sort_import.py::test_sort	826ms	139μs	✅593664%
test_bubble_sort_in_class.py::TestSorter.test_sort_in_pytest_class	824ms	140μs	✅584877%
test_bubble_sort_parametrized.py::test_sort_parametrized	509ms	141μs	✅360249%
test_bubble_sort_parametrized_loop.py::test_sort_loop_parametrized	100μs	20.4μs	✅394%

🌀 Generated Regression Tests and Runtime

import random  # used for generating large random lists
import string  # used for string sorting tests
import sys  # used for testing with large/small numbers

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

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

def test_sorter_unsorted_list():
    # Typical unsorted list
    arr = [3, 1, 4, 5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_list_with_duplicates():
    # List with duplicate elements
    arr = [4, 2, 2, 5, 1, 4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_two_elements_sorted():
    # Two elements already sorted
    arr = [1, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_two_elements_unsorted():
    # Two elements unsorted
    arr = [2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_floats():
    # List with floats and integers
    arr = [3.2, 1, 2.5, 2, 0.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_strings():
    # List of strings (alphabetical order)
    arr = ["banana", "apple", "cherry"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

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

def test_sorter_large_and_small_numbers():
    # List with very large and very small numbers
    arr = [sys.maxsize, -sys.maxsize - 1, 0, 999999, -999999]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_positive_negative_zero():
    # List with positive, negative, and zero
    arr = [0, -1, 1, -2, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_case_sensitive_strings():
    # Case sensitive string sorting
    arr = ["apple", "Banana", "banana", "Apple"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unicode_strings():
    # Unicode string sorting
    arr = ["éclair", "apple", "Éclair", "banana"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_already_sorted_large():
    # Already sorted large list
    arr = list(range(1000))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_reverse_sorted_large():
    # Reverse sorted large list
    arr = list(range(999, -1, -1))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_floats_precision():
    # List with floats of close values
    arr = [1.000001, 1.0000001, 1.00001]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_large_random_integers():
    # Sorting a large list of random 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_random_floats():
    # Sorting a 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():
    # Sorting a large list of random strings
    arr = [
        ''.join(random.choices(string.ascii_letters + string.digits, 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 list that is already sorted
    arr = list(range(1000))
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_large_negative_numbers():
    # Large list of negative numbers
    arr = [random.randint(-10000, -1) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_identical_elements():
    # Large list with all identical elements
    arr = [42] * 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 generating large random lists
import string  # used for non-integer sortable types

# 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():
    # Sorting an empty list should return an empty list
    codeflash_output = sorter([])

def test_single_element():
    # Sorting a list with one element should return the same list
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])

def test_already_sorted():
    # Sorting an already sorted list should not change the list
    codeflash_output = sorter([1, 2, 3, 4, 5])

def test_reverse_sorted():
    # Sorting a reverse sorted list should return an ascending list
    codeflash_output = sorter([5, 4, 3, 2, 1])

def test_duplicates():
    # Sorting a list with duplicate elements should sort and preserve duplicates
    codeflash_output = sorter([3, 1, 2, 3, 2, 1])

def test_negative_numbers():
    # Sorting a list with negative numbers should place negatives correctly
    codeflash_output = sorter([-1, -3, 2, 1, 0])

def test_mixed_positive_and_negative():
    # Sorting a list with both positive and negative numbers
    codeflash_output = sorter([0, -2, 5, -1, 3])

def test_all_equal_elements():
    # Sorting a list where all elements are equal
    codeflash_output = sorter([7, 7, 7, 7])

def test_sort_strings():
    # Sorting a list of strings should sort lexicographically
    codeflash_output = sorter(['banana', 'apple', 'cherry'])

def test_sort_floats():
    # Sorting a list of floats should sort numerically
    codeflash_output = sorter([2.2, 1.1, 3.3])

def test_sort_mixed_int_float():
    # Sorting a list of ints and floats should work
    codeflash_output = sorter([3, 1.5, 2, 0.5])

# === EDGE TEST CASES ===

def test_sort_with_large_and_small_numbers():
    # Sorting a list with very large and very small numbers
    arr = [1_000_000_000, -1_000_000_000, 0, 999, -999]
    codeflash_output = sorter(arr)

def test_sort_unicode_strings():
    # Sorting a list of unicode strings
    arr = ['á', 'a', 'ä', 'b']
    codeflash_output = sorter(arr)  # Python's sort is Unicode codepoint order

def test_sort_case_sensitivity():
    # Sorting a list with mixed case strings
    arr = ['apple', 'Banana', 'banana', 'Apple']
    codeflash_output = sorter(arr)

def test_sort_empty_strings():
    # Sorting a list with empty strings
    arr = ['', 'a', '']
    codeflash_output = sorter(arr)

def test_sort_with_none_raises():
    # Sorting a list with None should raise TypeError
    arr = [1, None, 2]
    with pytest.raises(TypeError):
        sorter(arr)

def test_sort_with_unorderable_types_raises():
    # Sorting a list with unorderable types should raise TypeError
    arr = [1, 'a', 2]
    with pytest.raises(TypeError):
        sorter(arr)

def test_sort_list_of_lists():
    # Sorting a list of lists should sort by the first element of each sublist
    arr = [[2, 3], [1, 2], [2, 2], [1, 1]]
    codeflash_output = sorter(arr)

def test_sort_list_of_tuples():
    # Sorting a list of tuples should sort by the first element, then second, etc.
    arr = [(2, 3), (1, 2), (2, 2), (1, 1)]
    codeflash_output = sorter(arr)

def test_sort_large_negative_and_positive_floats():
    arr = [1e10, -1e10, 1e-10, -1e-10, 0]
    codeflash_output = sorter(arr)

# === LARGE SCALE TEST CASES ===

def test_large_sorted_list():
    # Sorting an already sorted large list
    arr = list(range(1000))
    codeflash_output = sorter(arr.copy())

def test_large_reverse_sorted_list():
    # Sorting a large reverse sorted list
    arr = list(range(999, -1, -1))
    codeflash_output = sorter(arr.copy())

def test_large_random_list():
    # Sorting a large list of random integers
    arr = random.sample(range(-10000, -9000), 1000)
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_list_with_duplicates():
    # Sorting a large list with many duplicate elements
    arr = [random.choice([1, 2, 3, 4, 5]) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_large_list_of_strings():
    # 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_list_of_floats():
    # Sorting a large list of random floats
    arr = [random.uniform(-1e6, 1e6) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

def test_stability_with_large_duplicates():
    # Sorting a list with many duplicates, check for stability
    arr = [(i % 10, i) for i in range(1000)]  # key, original index
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy())

# === DETERMINISM TESTS ===

def test_sorter_is_deterministic():
    # Sorting the same list multiple times should give the same result
    arr = [random.randint(-100, 100) for _ in range(100)]
    codeflash_output = sorter(arr.copy()); result1 = codeflash_output
    codeflash_output = sorter(arr.copy()); result2 = codeflash_output

# === MUTATION TESTING EDGE CASES ===

def test_sorter_does_not_modify_input_ordering_for_sorted():
    # If the input is already sorted, the output should have the same object ids
    arr = [1, 2, 3, 4, 5]
    ids_before = [id(x) for x in arr]
    codeflash_output = sorter(arr); result = codeflash_output
    ids_after = [id(x) for x in result]

def test_sorter_returns_same_object():
    # The function should return the same list object it was given (in-place sort)
    arr = [3, 2, 1]
    codeflash_output = sorter(arr); result = codeflash_output

def test_sorter_handles_custom_comparable_objects():
    # Sorting objects with custom __lt__ should work
    class Box:
        def __init__(self, value):
            self.value = value
        def __lt__(self, other):
            return self.value < other.value
        def __eq__(self, other):
            return self.value == other.value
        def __repr__(self):
            return f"Box({self.value})"
    arr = [Box(3), Box(1), Box(2)]
    codeflash_output = sorter(arr); 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-mcmgu94j and push.