⚡️ Speed up function sorter by 51,639%

[codeflash-ai]

📄 51,639% (516.39x) speedup for sorter in codeflash/galileo/bubble_sort.py

⏱️ Runtime : 818 milliseconds → 1.58 milliseconds (best of 152 runs)

📝 Explanation and details

Here is a much faster version. The original uses bubble sort (O(n²)), which is very slow for large lists. Python’s built-in sort() (Timsort, O(n log n)) is highly optimized. We’ll retain all print statements and function signature.

All previous logic is preserved, but now the sort is many times faster, consistent with Python best practice on performance.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 3 Passed
🌀 Generated Regression Tests	✅ 52 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
test_bubble_sort.py::test_sort	630ms	152μs	✅413800%

🌀 Generated Regression Tests and Runtime

import random  # used for generating large random lists
import sys  # used for checking recursion limit (not required here, but for completeness)

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

# -----------------
# UNIT TESTS
# -----------------

# 1. BASIC TEST CASES

def test_sorter_simple_sorted():
    # Already sorted array
    arr = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_simple_unsorted():
    # Unsorted array
    arr = [3, 1, 4, 2, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_duplicates():
    # Array with duplicates
    arr = [4, 2, 5, 2, 3, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_floats():
    # Array with floats
    arr = [3.1, 2.2, 1.3, 4.4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_mixed_int_float():
    # Array with mixed ints and floats
    arr = [1, 2.2, 3, 1.1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# 2. EDGE TEST CASES

def test_sorter_empty():
    # Empty array
    arr = []
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_single_element():
    # Single element array
    arr = [42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_already_sorted_with_duplicates():
    # Already sorted with duplicates
    arr = [1, 2, 2, 3, 4, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_negative_range():
    # All negative numbers in reverse
    arr = [-10, -20, -30, -40, -50]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_zeros():
    # Array with zeros and negatives/positives
    arr = [0, -1, 1, 0, -2, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_stability():
    # Test for stability: elements with equal value should retain their relative order
    class Obj:
        def __init__(self, key, val):
            self.key = key
            self.val = val
        def __lt__(self, other):
            return self.key < other.key
        def __gt__(self, other):
            return self.key > other.key
        def __eq__(self, other):
            return self.key == other.key and self.val == other.val
        def __repr__(self):
            return f"Obj({self.key},{self.val})"
    arr = [Obj(1, 'a'), Obj(2, 'b'), Obj(1, 'c'), Obj(2, 'd')]
    # Bubble sort is stable, so relative order of Obj(1, 'a') and Obj(1, 'c') should be preserved
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_mixed_types_error():
    # Should raise TypeError on mixed incompatible types
    arr = [1, "a", 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_tuple_elements():
    # Sorting tuples by first element
    arr = [(2, "b"), (1, "a"), (3, "c")]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_numbers():
    # Sorting very large numbers
    arr = [10**10, 10**5, 10**8]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# 3. LARGE SCALE TEST CASES

def test_sorter_large_random_list():
    # Sorting a large random list of 1000 elements
    arr = [random.randint(-10**6, 10**6) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_sorted_list():
    # 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():
    # 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():
    # 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_floats():
    # Large list of floats
    arr = [random.uniform(-1000, 1000) 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('abcdefghijklmnopqrstuvwxyz', k=5)) for _ 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.

import random  # used for generating large random lists
import string  # used for string sorting tests

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

# unit tests

# -------------------
# 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 one element
    arr = [42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_already_sorted():
    # 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():
    # 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]
    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, 3, 1, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_with_mixed_case_strings():
    # Test sorting a list of strings with mixed case
    arr = ["Banana", "apple", "Cherry"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_all_identical_elements():
    # Test sorting a list where all elements are identical
    arr = [7] * 10
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_two_elements_sorted():
    # Test sorting a two-element list that is already sorted
    arr = [1, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_two_elements_unsorted():
    # Test sorting a two-element list that is not sorted
    arr = [2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_large_negative_and_positive():
    # Test sorting a list with both large negative and large positive numbers
    arr = [999999, -999999, 0, 123, -456]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_floats_and_integers():
    # Test sorting a list with both floats and integers
    arr = [3, 1.5, 2.2, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_empty_strings():
    # Test sorting a list with empty strings
    arr = ["", "a", "b", ""]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_stability():
    # Test sorting stability (equal elements retain original order)
    class Item:
        def __init__(self, key, value):
            self.key = key
            self.value = value
        def __lt__(self, other):
            return self.key < other.key
        def __eq__(self, other):
            return self.key == other.key and self.value == other.value
        def __repr__(self):
            return f"Item({self.key}, {self.value})"
    arr = [Item(1, 'a'), Item(2, 'b'), Item(1, 'c'), Item(2, 'd')]
    codeflash_output = sorter(arr.copy()); sorted_arr = codeflash_output

def test_sorter_large_min_max_values():
    # Test sorting a list with extremely large and small values
    arr = [float('inf'), float('-inf'), 0, 1e308, -1e308]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unicode_strings():
    # Test sorting a list with unicode strings
    arr = ["á", "a", "ä", "â"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_list_with_unorderable_types_raises():
    # Test sorting a list with unorderable types should raise TypeError
    arr = [1, "a", 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

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

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_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()); result = codeflash_output

def test_sorter_large_random_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()); 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_negative_and_positive():
    # Test sorting a large list with both negative and positive numbers
    arr = [random.randint(-10000, 10000) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_performance_quick_exit_on_sorted():
    # Test that the sorter function exits early on an already sorted large list (performance)
    arr = list(range(1000))
    # We expect the function to not do unnecessary swaps or passes
    # This test will pass if the function does not hang or timeout
    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-mcmqqgej and push.