⚡️ Speed up function sorter by 64,723%

[codeflash-ai]

📄 64,723% (647.23x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 7.53 seconds → 11.6 milliseconds (best of 75 runs)

📝 Explanation and details

Certainly! Your code is a naive bubble sort with O(n^2) time complexity, repeatedly iterating after list is already sorted. That’s very slow for even modest list sizes.

Optimized Approach:

• Python’s built-in sort() is implemented in highly-optimized C (Timsort, O(n log n)).
• It sorts in-place and is always faster than bubble sort.
• Rewriting with arr.sort() thus both dramatically improves speed and minimizes memory use.

Preserved:

• All print statements and their order.
• Function signature and return value.

Here’s your optimized code:

This version is orders of magnitude faster and uses much less CPU time and memory.
No unnecessary loops or swaps; result is always the same.

---

If you wanted to keep a manual algorithm, you can at least stop early if no swaps occurred (bubble sort optimization):

But in real code, always use the first, built-in sort.

---

Final submission:

This will give you the correct result as before, at the absolute fastest possible speed in pure Python.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 14 Passed
🌀 Generated Regression Tests	✅ 58 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 random test cases
import string  # used for string-based test cases
import sys  # used for maxsize/minsize edge cases

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

# unit tests

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

def test_sorter_sorted_list():
    # Already sorted list should remain unchanged
    arr = [1, 2, 3, 4, 5]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr[:])

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

def test_sorter_unsorted_list():
    # Random unsorted list
    arr = [3, 1, 4, 5, 2]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr[:])

def test_sorter_with_duplicates():
    # List with duplicate elements
    arr = [4, 2, 5, 2, 3, 4]
    expected = [2, 2, 3, 4, 4, 5]
    codeflash_output = sorter(arr[:])

def test_sorter_single_element():
    # Single-element list should remain unchanged
    arr = [42]
    expected = [42]
    codeflash_output = sorter(arr[:])

def test_sorter_two_elements():
    # Two-element list, unsorted
    arr = [2, 1]
    expected = [1, 2]
    codeflash_output = sorter(arr[:])

def test_sorter_two_elements_sorted():
    # Two-element list, already sorted
    arr = [1, 2]
    expected = [1, 2]
    codeflash_output = sorter(arr[:])

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

def test_sorter_empty_list():
    # Empty list should remain unchanged
    arr = []
    expected = []
    codeflash_output = sorter(arr[:])

def test_sorter_all_identical():
    # All elements identical
    arr = [7, 7, 7, 7, 7]
    expected = [7, 7, 7, 7, 7]
    codeflash_output = sorter(arr[:])

def test_sorter_negative_numbers():
    # List with negative numbers
    arr = [-3, -1, -2, -5, -4]
    expected = [-5, -4, -3, -2, -1]
    codeflash_output = sorter(arr[:])

def test_sorter_mixed_sign_numbers():
    # List with both positive and negative numbers
    arr = [3, -2, 0, -1, 2]
    expected = [-2, -1, 0, 2, 3]
    codeflash_output = sorter(arr[:])

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

def test_sorter_floats():
    # List with floating point numbers
    arr = [3.1, 2.4, 5.6, 1.2, 4.8]
    expected = [1.2, 2.4, 3.1, 4.8, 5.6]
    codeflash_output = sorter(arr[:])

def test_sorter_mixed_int_float():
    # List with both ints and floats
    arr = [3, 1.5, 2, 4.0, 0]
    expected = [0, 1.5, 2, 3, 4.0]
    codeflash_output = sorter(arr[:])

def test_sorter_strings():
    # List of strings (lexicographic sort)
    arr = ['banana', 'apple', 'cherry', 'date']
    expected = ['apple', 'banana', 'cherry', 'date']
    codeflash_output = sorter(arr[:])

def test_sorter_case_sensitive_strings():
    # List of strings with different cases
    arr = ['Apple', 'banana', 'Banana', 'apple']
    expected = ['Apple', 'Banana', 'apple', 'banana']
    codeflash_output = sorter(arr[:])

def test_sorter_unicode_strings():
    # List with unicode strings
    arr = ['café', 'cafe', 'cafè', 'cafÉ']
    expected = ['cafÉ', 'cafe', 'cafè', 'café']
    codeflash_output = sorter(arr[:])

def test_sorter_empty_strings():
    # List with empty strings and non-empty strings
    arr = ['', 'a', '', 'b', '']
    expected = ['', '', '', 'a', 'b']
    codeflash_output = sorter(arr[:])


def test_sorter_mixed_types():
    # List with mixed types (should raise TypeError)
    arr = [1, 'a', 2]
    with pytest.raises(TypeError):
        sorter(arr[:])

def test_sorter_none_element():
    # List with None as an element (should raise TypeError)
    arr = [1, None, 2]
    with pytest.raises(TypeError):
        sorter(arr[:])

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

def test_sorter_large_random_ints():
    # Large list of random integers
    arr = [random.randint(-100000, 100000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr[:])

def test_sorter_large_sorted():
    # Large already sorted list
    arr = list(range(1000))
    expected = list(range(1000))
    codeflash_output = sorter(arr[:])

def test_sorter_large_reverse_sorted():
    # Large reverse sorted list
    arr = list(range(999, -1, -1))
    expected = list(range(1000))
    codeflash_output = sorter(arr[:])

def test_sorter_large_duplicates():
    # Large list with many duplicates
    arr = [42] * 1000
    expected = [42] * 1000
    codeflash_output = sorter(arr[:])

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

def test_sorter_large_strings():
    # Large list of random lowercase strings
    arr = [''.join(random.choices(string.ascii_lowercase, k=5)) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr[:])

def test_sorter_stability():
    # Test for stability: elements with equal keys retain original order
    # We'll use tuples: (key, original_index)
    arr = [(5, 'a'), (3, 'b'), (5, 'c'), (3, 'd'), (5, 'e')]
    # Bubble sort is stable, so equal keys should retain order
    expected = [(3, 'b'), (3, 'd'), (5, 'a'), (5, 'c'), (5, 'e')]
    # Use a key function to compare only the first element
    # We'll monkey-patch the sorter for this test
    def stable_sorter(arr):
        for i in range(len(arr)):
            for j in range(len(arr) - 1):
                if arr[j][0] > arr[j + 1][0]:
                    arr[j], arr[j + 1] = arr[j + 1], arr[j]
        return arr

def test_sorter_does_not_modify_input():
    # Ensure that the function does not modify the input list in-place (should return a new sorted list)
    arr = [3, 2, 1]
    arr_copy = arr[:]
    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 max/min integer edge cases

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

# unit tests

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

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

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

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

def test_sorter_list_with_duplicates():
    # List with duplicates is sorted, duplicates preserved
    arr = [4, 2, 1, 2, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_single_element():
    # Single-element list remains 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_all_equal_elements():
    # All elements are equal
    arr = [7, 7, 7, 7]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_negative_numbers():
    # List with negative numbers
    arr = [-3, -1, -2, -5, -4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_positive_negative():
    # Mixed positive and negative numbers
    arr = [3, -1, 0, -5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_floats():
    # List with floats
    arr = [3.1, 2.2, 5.5, 4.4, 1.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_ints_and_floats():
    # Mixed ints and floats
    arr = [3, 1.5, 2, 4.0, 0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_single_char_strings():
    # List of single-character strings
    arr = ["d", "a", "c", "b"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unicode_strings():
    # List of unicode strings
    arr = ["éclair", "apple", "à la mode", "banana"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_empty_strings():
    # List with empty strings
    arr = ["", "a", "", "b"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_custom_objects_raises():
    # List with custom objects should raise TypeError
    class Dummy:
        pass
    arr = [Dummy(), Dummy()]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_incomparable_types_raises():
    # List with incomparable types should raise TypeError
    arr = [1, "a", 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_nested_lists_raises():
    # List with nested lists should raise TypeError
    arr = [1, [2], 3]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_preserves_input_type():
    # The input list is sorted in place and the same object is returned
    arr = [2, 1]
    codeflash_output = sorter(arr); result = codeflash_output

# ---------------- LARGE SCALE TEST CASES ----------------

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

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

def test_sorter_large_random_list():
    # Large random list of integers
    arr = random.sample(range(1000), 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_strings():
    # 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()); result = codeflash_output

def test_sorter_large_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_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_mixed_ints_and_floats():
    # Large list mixing ints and floats
    arr = [random.randint(-1000, 1000) if i % 2 == 0 else random.uniform(-1000, 1000) for i in range(1000)]
    expected = sorted(arr)
    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-man1jjb2 and push.