⚡️ Speed up function sorter by 232,845%

[codeflash-ai-dev]

📄 232,845% (2,328.45x) speedup for sorter in bubble_sort.py

⏱️ Runtime : 142 milliseconds → 61.0 microseconds (best of 555 runs)

📝 Explanation and details

You can optimize the given program by using the built-in Timsort algorithm provided by Python, which is much more efficient than the current implementation of the bubble sort algorithm. The built-in sort function in Python operates with an average-case time complexity of O(n log n), which is significantly faster than the O(n^2) complexity of bubble sort.

Here's the optimized version of the program.

By using arr.sort(), we achieve a more efficient sorting method while keeping the function signature and return values consistent.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 66 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests Details

import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

# Basic Functionality
def test_sorted_list():
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(['a', 'b', 'c', 'd'])

def test_reverse_sorted_list():
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(['d', 'c', 'b', 'a'])

def test_unsorted_list():
    codeflash_output = sorter([3, 1, 4, 2, 5])
    codeflash_output = sorter(['b', 'd', 'a', 'c'])

# Edge Cases
def test_empty_list():
    codeflash_output = sorter([])

def test_single_element_list():
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])

def test_two_elements_list():
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter(['b', 'a'])

# Lists with Duplicate Elements
def test_all_elements_same():
    codeflash_output = sorter([1, 1, 1, 1])
    codeflash_output = sorter(['a', 'a', 'a', 'a'])

def test_some_elements_duplicated():
    codeflash_output = sorter([3, 1, 2, 1, 3])
    codeflash_output = sorter(['b', 'a', 'c', 'a', 'b'])

# Lists with Different Data Types
def test_integers_and_floats():
    codeflash_output = sorter([1, 3.5, 2, 4.0])

def test_strings_and_integers():
    with pytest.raises(TypeError):
        sorter([3, 'a', 2, 'b'])

# Large Lists
def test_large_sorted_list():
    codeflash_output = sorter(list(range(1000)))

def test_large_reverse_sorted_list():
    codeflash_output = sorter(list(range(1000, 0, -1)))

def test_large_random_list():
    import random
    random_list = [random.randint(0, 1000) for _ in range(1000)]
    codeflash_output = sorter(random_list)

# Lists with Negative Numbers
def test_negative_and_positive_numbers():
    codeflash_output = sorter([-1, 2, -3, 4, -5])

def test_all_negative_numbers():
    codeflash_output = sorter([-5, -1, -3, -2, -4])

# Lists with Special Characters
def test_special_characters_and_alphabets():
    codeflash_output = sorter(['a', '!', 'b', '@', 'c'])

def test_only_special_characters():
    codeflash_output = sorter(['!', '@', '#', ', '%'])

# Lists with Mixed Case Strings
def test_lowercase_and_uppercase():
    codeflash_output = sorter(['a', 'B', 'c', 'A', 'b'])

def test_all_uppercase():
    codeflash_output = sorter(['D', 'C', 'B', 'A'])

# Lists with Non-Comparable Elements
def test_different_data_types():
    with pytest.raises(TypeError):
        sorter([1, 'a', 2.5, None])

# Rare or Unexpected Edge Cases

# Lists with None Values
def test_none_values():
    codeflash_output = sorter([None])
    codeflash_output = sorter([None, None, None])
    with pytest.raises(TypeError):
        sorter([3, None, 2, None, 1])

# Lists with Complex Numbers
def test_complex_numbers():
    codeflash_output = sorter([3 + 4j])
    with pytest.raises(TypeError):
        sorter([3 + 4j, 1 + 2j, 2 + 3j])
    with pytest.raises(TypeError):
        sorter([3 + 4j, 1, 2 + 3j])

# Lists with Nested Lists
def test_nested_lists():
    codeflash_output = sorter([[1, 2, 3]])
    with pytest.raises(TypeError):
        sorter([[3, 2], [1, 4], [2, 3]])
    with pytest.raises(TypeError):
        sorter([3, [1, 2], 2])

# Lists with Custom Objects
class CustomObject:
    def __init__(self, value):
        self.value = value

    def __lt__(self, other):
        if isinstance(other, CustomObject):
            return self.value < other.value
        return NotImplemented

    def __eq__(self, other):
        if isinstance(other, CustomObject):
            return self.value == other.value
        return NotImplemented

def test_custom_objects():
    obj1 = CustomObject(1)
    obj2 = CustomObject(2)
    obj3 = CustomObject(3)
    codeflash_output = sorter([obj1, obj2, obj3])
    with pytest.raises(TypeError):
        sorter([obj1, 2, obj3])

# Lists with Boolean Values
def test_boolean_values():
    codeflash_output = sorter([True, False, True, False])
    codeflash_output = sorter([1, True, 0, False])

# Lists with Special Floating-Point Values

def test_infinity_values():
    codeflash_output = sorter([float('inf'), 1, float('-inf')])
    codeflash_output = sorter([1.0, float('inf'), 2.0, float('-inf')])

# Lists with Mixed Data Types (that can be compared)
def test_integers_and_booleans():
    codeflash_output = sorter([True, 2, False, 1])

def test_strings_and_booleans():
    with pytest.raises(TypeError):
        sorter(['a', True, 'b', False])

# Lists with Special Characters and Numbers
def test_special_characters_and_numbers():
    with pytest.raises(TypeError):
        sorter(['!', 1, '@', 2, '#', 3])
    with pytest.raises(TypeError):
        sorter(['a', '!', 'b', 1, '@', 2])
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

def test_sorter_basic_functionality():
    # Test with a simple list of integers
    codeflash_output = sorter([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5])
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter([1, 2, 3, 4, 5])

def test_sorter_empty_list():
    # Test with an empty list
    codeflash_output = sorter([])

def test_sorter_single_element():
    # Test with a list containing only one element
    codeflash_output = sorter([42])

def test_sorter_identical_elements():
    # Test with a list where all elements are identical
    codeflash_output = sorter([7, 7, 7, 7, 7])

def test_sorter_already_sorted():
    # Test with a list that is already sorted in ascending order
    codeflash_output = sorter([1, 2, 3, 4, 5, 6, 7, 8, 9])

def test_sorter_reverse_sorted():
    # Test with a list that is sorted in descending order
    codeflash_output = sorter([9, 8, 7, 6, 5, 4, 3, 2, 1])

def test_sorter_negative_numbers():
    # Test with a list containing negative numbers
    codeflash_output = sorter([-3, -1, -4, -1, -5, -9, -2, -6, -5, -3, -5])
    codeflash_output = sorter([-1, -2, -3, -4, -5])

def test_sorter_mixed_positive_negative():
    # Test with a list containing both positive and negative numbers
    codeflash_output = sorter([3, -1, 4, -1, 5, -9, 2, -6, 5, -3, 5])

def test_sorter_floating_point_numbers():
    # Test with a list containing floating point numbers
    codeflash_output = sorter([3.1, 2.4, 1.5, 2.7, 3.3])
    codeflash_output = sorter([1.1, 1.01, 1.001, 1.0001])

def test_sorter_strings():
    # Test with a list containing strings
    codeflash_output = sorter(['apple', 'banana', 'cherry', 'date'])
    codeflash_output = sorter(['zebra', 'yak', 'xenon', 'walrus'])

def test_sorter_mixed_data_types():
    # Test with a list containing mixed data types (should raise an error)
    with pytest.raises(TypeError):
        sorter([1, 'two', 3.0, 'four'])

def test_sorter_large_list():
    # Test with a large list to assess performance and scalability
    codeflash_output = sorter(list(range(1000, 0, -1)))
    codeflash_output = sorter(list(range(1000)))

def test_sorter_duplicates():
    # Test with a list containing duplicate values
    codeflash_output = sorter([4, 5, 6, 4, 5, 6, 4, 5, 6])
    codeflash_output = sorter([1, 2, 2, 3, 3, 3, 4, 4, 4, 4])

def test_sorter_large_numbers():
    # Test with a list containing very large numbers
    codeflash_output = sorter([10**10, 10**12, 10**11, 10**13, 10**9])

def test_sorter_small_numbers():
    # Test with a list containing very small numbers
    codeflash_output = sorter([10**-10, 10**-12, 10**-11, 10**-13, 10**-9])
# 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-m7f5ahwd and push.