Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

⚡️ Speed up function sorter by 640,814% in bubble_sort.py #86

Open
wants to merge 1 commit into
base: main
Choose a base branch
from

Conversation

codeflash-ai[bot]
Copy link

@codeflash-ai codeflash-ai bot commented Nov 23, 2024

📄 sorter() in bubble_sort.py

📈 Performance improved by 640,814% (6,408.14x faster)

⏱️ Runtime went down from 93.9 milliseconds to 14.7 microseconds (best of 1135 runs)

Explanation and details

To optimize the given sorting function, we can replace the bubble sort implementation with Python's built-in sort method, which uses Timsort, a highly optimized sorting algorithm.

Here's the rewritten function.

This will significantly increase the efficiency of your sorting function.

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 43 Passed − 🌀 Generated Regression Tests

(click to show generated tests)
import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

def test_sorted_list():
    # Test that a sorted list remains unchanged
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter(['a', 'b', 'c'])
    # Outputs were verified to be equal to the original implementation

def test_reverse_sorted_list():
    # Test that a reverse sorted list is correctly sorted
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter(['z', 'y', 'x'])
    # Outputs were verified to be equal to the original implementation

def test_unsorted_list():
    # Test that an unsorted list is correctly sorted
    codeflash_output = sorter([3, 1, 4, 2, 5])
    codeflash_output = sorter(['b', 'a', 'd', 'c'])
    # Outputs were verified to be equal to the original implementation

def test_empty_list():
    # Test that an empty list remains unchanged
    codeflash_output = sorter([])
    # Outputs were verified to be equal to the original implementation

def test_single_element_list():
    # Test that a single element list remains unchanged
    codeflash_output = sorter([1])
    codeflash_output = sorter(['a'])
    # Outputs were verified to be equal to the original implementation

def test_two_elements():
    # Test both sorted and unsorted lists of two elements
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter([1, 2])
    # Outputs were verified to be equal to the original implementation

def test_all_elements_same():
    # Test that a list with all identical elements remains unchanged
    codeflash_output = sorter([2, 2, 2, 2])
    codeflash_output = sorter(['a', 'a', 'a'])
    # Outputs were verified to be equal to the original implementation

def test_some_duplicates():
    # Test that a list with some duplicate elements is correctly sorted
    codeflash_output = sorter([2, 3, 2, 1, 3])
    codeflash_output = sorter(['b', 'a', 'b', 'c'])
    # Outputs were verified to be equal to the original implementation

def test_large_list():
    # Test sorting of a large reverse sorted list
    codeflash_output = sorter(list(range(1000, 0, -1)))
    # Test sorting of a large already sorted list
    codeflash_output = sorter(list(range(1000)))
    # Outputs were verified to be equal to the original implementation

def test_mixed_positive_negative():
    # Test sorting of a list with both negative and positive numbers
    codeflash_output = sorter([-1, 3, -2, 2, 0])
    codeflash_output = sorter([-5, -1, -3, 2, 4])
    # Outputs were verified to be equal to the original implementation

def test_floating_point_numbers():
    # Test sorting of a list with floating point numbers
    codeflash_output = sorter([1.1, 2.2, 0.5, 3.3])
    codeflash_output = sorter([2.5, 2.1, 2.3, 2.4])
    # Outputs were verified to be equal to the original implementation

def test_strings_varying_lengths():
    # Test sorting of strings based on lexicographical order
    codeflash_output = sorter(['apple', 'banana', 'cherry'])
    codeflash_output = sorter(['dog', 'cat', 'bat'])
    # Outputs were verified to be equal to the original implementation

def test_incompatible_types():
    # Test that a list with incompatible types raises an exception
    with pytest.raises(TypeError):
        sorter([1, 'a', 3.0])
    with pytest.raises(TypeError):
        sorter(['string', None, 5])
    # Outputs were verified to be equal to the original implementation
import pytest  # used for our unit tests
from bubble_sort import sorter

# unit tests

# Basic Functionality Tests
def test_sort_positive_integers():
    codeflash_output = sorter([3, 1, 2])
    # Outputs were verified to be equal to the original implementation

def test_sort_negative_integers():
    codeflash_output = sorter([-3, -1, -2])
    # Outputs were verified to be equal to the original implementation

def test_sort_mixed_integers():
    codeflash_output = sorter([3, -1, 2, -2])
    # Outputs were verified to be equal to the original implementation

# Edge Cases
def test_sort_empty_list():
    codeflash_output = sorter([])
    # Outputs were verified to be equal to the original implementation

def test_sort_single_element():
    codeflash_output = sorter([1])
    # Outputs were verified to be equal to the original implementation

def test_sort_identical_elements():
    codeflash_output = sorter([1, 1, 1])
    # Outputs were verified to be equal to the original implementation

# Already Sorted Lists
def test_sort_already_sorted():
    codeflash_output = sorter([1, 2, 3, 4])
    # Outputs were verified to be equal to the original implementation

def test_sort_reverse_sorted():
    codeflash_output = sorter([4, 3, 2, 1])
    # Outputs were verified to be equal to the original implementation

# Lists with Duplicates
def test_sort_with_duplicates():
    codeflash_output = sorter([3, 1, 2, 3, 1])
    # Outputs were verified to be equal to the original implementation

# Lists with Different Data Types
def test_sort_floats():
    codeflash_output = sorter([3.1, 2.2, 1.3])
    # Outputs were verified to be equal to the original implementation

def test_sort_strings():
    codeflash_output = sorter(["banana", "apple", "cherry"])
    # Outputs were verified to be equal to the original implementation

def test_sort_mixed_types_raises_type_error():
    with pytest.raises(TypeError):
        sorter([1, "apple", 3.5])
    # Outputs were verified to be equal to the original implementation

# Large Scale Test Cases
def test_sort_large_list():
    large_list = list(range(1000, 0, -1))
    codeflash_output = sorter(large_list)
    # Outputs were verified to be equal to the original implementation

def test_sort_large_sorted_list():
    large_sorted_list = list(range(1000))
    codeflash_output = sorter(large_sorted_list)
    # Outputs were verified to be equal to the original implementation

# Rare or Unexpected Edge Cases

def test_sort_lists_of_lists():
    codeflash_output = sorter([[2], [1], [3]])
    # Outputs were verified to be equal to the original implementation

def test_sort_large_integers():
    codeflash_output = sorter([2**32, 1, 2**16])
    # Outputs were verified to be equal to the original implementation

def test_sort_none_values_raises_type_error():
    with pytest.raises(TypeError):
        sorter([1, None, 2])
    # Outputs were verified to be equal to the original implementation

def test_sort_complex_numbers_raises_type_error():
    with pytest.raises(TypeError):
        sorter([1+1j, 2+2j, 3+3j])
    # Outputs were verified to be equal to the original implementation

🔘 (none found) − ⏪ Replay Tests

To optimize the given sorting function, we can replace the bubble sort implementation with Python's built-in `sort` method, which uses Timsort, a highly optimized sorting algorithm.

Here's the rewritten function.



This will significantly increase the efficiency of your sorting function.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by CodeFlash AI label Nov 23, 2024
@codeflash-ai codeflash-ai bot requested a review from alvin-r November 23, 2024 22:17
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
⚡️ codeflash Optimization PR opened by CodeFlash AI
Projects
None yet
Development

Successfully merging this pull request may close these issues.

0 participants