⚡️ Speed up function sorter by 400,759%

[codeflash-ai]

📄 400,759% (4,007.59x) speedup for sorter in code_to_optimize/bubble_sort.py

⏱️ Runtime : 3.75 seconds → 935 microseconds (best of 406 runs)

⚡️ This change will improve the performance of the following benchmarks:

Benchmark File :: Function	Original Runtime	Expected New Runtime	Speedup
code_to_optimize.tests.pytest.benchmarks.test_benchmark_bubble_sort::test_sort	7.92 milliseconds	37.8 microseconds	20866.89%
code_to_optimize.tests.pytest.benchmarks.test_process_and_sort::test_compute_and_sort	18.7 milliseconds	11.0 milliseconds	71.01%
code_to_optimize.tests.pytest.benchmarks.test_process_and_sort::test_no_func	7.84 milliseconds	53.3 microseconds	14605.87%

📝 Explanation and details

The given code sorts a list using a bubble sort algorithm, which has a time complexity of ( O(n^2) ). To improve its performance, we can use the built-in Python sorting function, which uses Timsort and has an average time complexity of ( O(n \log n) ).

Here's the optimized version of the program.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	✅ 20 Passed
🌀 Generated Regression Tests	✅ 82 Passed
⏪ Replay Tests	✅ 2 Passed
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

⚙️ Existing Unit Tests Details

- benchmarks/codeflash_replay_tests_weqt5o0z/test_code_to_optimize_tests_pytest_benchmarks_test_benchmark_bubble_sort__replay_test_0.py
- benchmarks/codeflash_replay_tests_weqt5o0z/test_code_to_optimize_tests_pytest_benchmarks_test_process_and_sort__replay_test_0.py
- 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 pytest  # used for our unit tests
from code_to_optimize.bubble_sort import sorter

# unit tests

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

def test_single_element_list():
    # Test with a single element list
    codeflash_output = sorter([1])
    codeflash_output = sorter(["a"])

def test_already_sorted_list():
    # Test with an already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(["a", "b", "c", "d"])

def test_reverse_sorted_list():
    # Test with a reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(["d", "c", "b", "a"])

def test_unsorted_list_with_unique_elements():
    # Test with an unsorted list with unique elements
    codeflash_output = sorter([3, 1, 4, 2, 5])
    codeflash_output = sorter(["b", "d", "a", "c"])

def test_list_with_duplicate_elements():
    # Test with a list containing duplicate elements
    codeflash_output = sorter([3, 1, 2, 3, 2])
    codeflash_output = sorter(["b", "a", "b", "a", "c"])

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

def test_list_with_mixed_positive_and_negative_numbers():
    # Test with a list containing both positive and negative numbers
    codeflash_output = sorter([3, -1, 4, -2, 5, 0])
    codeflash_output = sorter([-3, 1, -4, 2, -5, 0])

def test_list_with_floats_and_integers():
    # Test with a list containing both floats and integers
    codeflash_output = sorter([3.5, 1.2, 4.8, 2.1, 5.0])
    codeflash_output = sorter([3, 1.5, 4, 2.5, 5.0])

def test_large_list():
    # Test with a large list
    codeflash_output = sorter(list(range(1000, 0, -1)))
    codeflash_output = sorter(list(range(10000, 9000, -1)))

def test_list_with_strings_of_varying_lengths():
    # Test with a list containing strings of varying lengths
    codeflash_output = sorter(["apple", "banana", "cherry", "date", "fig"])
    codeflash_output = sorter(["a", "abc", "ab", "abcd"])

def test_list_with_mixed_data_types():
    # Test with a list containing mixed data types (expected to raise TypeError)
    with pytest.raises(TypeError):
        sorter([3, "apple", 1.5, "banana"])
    with pytest.raises(TypeError):
        sorter(["a", 1, "b", 2])

def test_list_with_special_characters():
    # Test with a list containing special characters
    codeflash_output = sorter(["@", "#", "$", "%", "^"])
    codeflash_output = sorter(["!", "?", ".", ",", ";"])

def test_list_with_case_sensitivity():
    # Test with a list containing case-sensitive strings
    codeflash_output = sorter(["apple", "Apple", "banana", "Banana"])
    codeflash_output = sorter(["a", "A", "b", "B"])

def test_list_with_large_numbers():
    # Test with a list containing very large numbers
    codeflash_output = sorter([10**10, 10**5, 10**15, 10**3])
    codeflash_output = sorter([999999999, 123456789, 987654321, 111111111])

def test_list_with_repeated_elements():
    # Test with a list containing repeated elements
    codeflash_output = sorter([1, 1, 1, 1, 1])
    codeflash_output = sorter(["a", "a", "a", "a"])

def test_list_with_none_values():
    # Test with a list containing None values (expected to raise TypeError)
    with pytest.raises(TypeError):
        sorter([3, None, 1, 2])
    with pytest.raises(TypeError):
        sorter([None, "a", "b", None])

def test_list_with_boolean_values():
    # Test with a list containing boolean values
    codeflash_output = sorter([True, False, True, False])
    codeflash_output = sorter([1, True, 0, False])

def test_list_with_nested_lists():
    # Test with a list containing nested lists (expected to raise TypeError)
    with pytest.raises(TypeError):
        sorter([3, [1, 2], 4, [2, 3]])
    with pytest.raises(TypeError):
        sorter([[3, 4], [1, 2], [5, 6]])

def test_list_with_special_floating_point_values():
    # Test with a list containing special floating-point values
    codeflash_output = sorter([3.5, float('inf'), 1.2, float('-inf')])
    codeflash_output = sorter([float('NaN'), 1.5, 2.5, float('inf')])

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

def test_list_with_large_integers():
    # Test with a list containing very large integers
    codeflash_output = sorter([10**18, 10**15, 10**12, 10**9])
    codeflash_output = sorter([999999999999999, 123456789012345, 987654321098765, 111111111111111])

def test_list_with_strings_containing_numbers():
    # Test with a list of strings where some strings represent numbers
    codeflash_output = sorter(["10", "2", "1", "20"])
    codeflash_output = sorter(["100", "50", "5", "500"])

def test_list_with_unicode_characters():
    # Test with a list containing Unicode characters
    codeflash_output = sorter(["é", "è", "ê", "ë"])
    codeflash_output = sorter(["α", "β", "γ", "δ"])

def test_list_with_special_characters_and_numbers():
    # Test with a list containing a mix of special characters and numbers
    codeflash_output = sorter(["@", "#", "1", "2", "$"])
    codeflash_output = sorter(["!", "3", "?", "4", "."])

def test_list_with_zeroes():
    # Test with a list containing zeroes
    codeflash_output = sorter([0, 3, 0, 1, 2])
    codeflash_output = sorter([0, -1, 0, -2, 0])

def test_list_with_long_strings():
    # Test with a list containing very long strings
    codeflash_output = sorter(["a"*1000, "b"*1000, "c"*1000])
    codeflash_output = sorter(["z"*500, "y"*500, "x"*500])
# 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 code_to_optimize.bubble_sort import sorter

# unit tests

# Test for empty list
def test_empty_list():
    codeflash_output = sorter([])

# Test for single element list
def test_single_element_list():
    codeflash_output = sorter([1])
    codeflash_output = sorter([0])
    codeflash_output = sorter([-1])

# Test for already sorted list
def test_already_sorted_list():
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter([-3, -2, -1, 0, 1, 2])
    codeflash_output = sorter([0, 0, 0, 0])

# Test for reverse sorted list
def test_reverse_sorted_list():
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter([2, 1, 0, -1, -2])

# Test for unsorted list with distinct elements
def test_unsorted_list_distinct_elements():
    codeflash_output = sorter([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5])
    codeflash_output = sorter([10, -1, 2, 8, 7, 3, 5, 6, 4, 0])

# Test for list with duplicates
def test_list_with_duplicates():
    codeflash_output = sorter([3, 1, 2, 1, 3, 2])
    codeflash_output = sorter([5, 5, 5, 5, 5])
    codeflash_output = sorter([1, 2, 2, 1, 3, 3, 0, 0])

# Test for list with negative numbers
def test_list_with_negative_numbers():
    codeflash_output = sorter([-1, -3, -2, 0, 2, 1, 3])
    codeflash_output = sorter([-5, -4, -3, -2, -1, 0])

# Test for list with mixed positive and negative numbers
def test_list_with_mixed_numbers():
    codeflash_output = sorter([3, -1, 2, -2, 0, 1, -3])
    codeflash_output = sorter([-10, 5, 0, -5, 10, -1, 1])

# Test for list with floating point numbers
def test_list_with_floats():
    codeflash_output = sorter([1.1, 3.3, 2.2, 0.0, -1.1])
    codeflash_output = sorter([5.5, 5.4, 5.6, 5.0])

# Test for list with large numbers
def test_list_with_large_numbers():
    codeflash_output = sorter([1000000000, 999999999, 1000000001])
    codeflash_output = sorter([2**31, 2**30, 2**32])

# Test for large scale data
def test_large_scale_data():
    codeflash_output = sorter([i for i in range(1000, 0, -1)])
    codeflash_output = sorter([i for i in range(1000)])
    codeflash_output = sorter([i for i in range(10000, 9000, -1)])

# Test for list with strings
def test_list_with_strings():
    codeflash_output = sorter(["banana", "apple", "cherry"])
    codeflash_output = sorter(["dog", "cat", "elephant", "bear"])

# Test for list with mixed data types
def test_list_with_mixed_data_types():
    with pytest.raises(TypeError):
        sorter([1, "two", 3, "four"])
    with pytest.raises(TypeError):
        sorter([5, None, 7, "eight"])
# 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-m9kc32ax and push.