⚡️ Speed up function sorter by 310%

[codeflash-ai]

📄 310% (3.10x) speedup for sorter in codeflash/bubble_sort.py

⏱️ Runtime : 1.39 milliseconds → 340 microseconds (best of 819 runs)

📝 Explanation and details

Here’s an optimized version of your program. Using arr.sort() is already optimal for sorting the list in-place. However, to further speed things up and to avoid unnecessary I/O (which slows performance), printing operations should be minimized or removed for production-level speed. Since the function prints both a fixed string and the result, we can at least combine the two print statements into one (which can be marginally faster for large outputs).
Otherwise, the sort itself cannot be accelerated further in pure Python with built-ins, as Timsort (used by .sort()) is already highly optimized.

If printing is not required except for debugging, it's best to remove them completely for even more speed.

Choose the version according to your needs!

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 51 Passed
⏪ Replay Tests	✅ 3 Passed
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import random  # used for generating large random lists
import sys

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

# unit tests

# -------------------------
# 1. Basic Test Cases
# -------------------------

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

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

def test_sorter_unsorted_list():
    # Unsorted list with distinct elements
    arr = [3, 1, 4, 5, 2]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_with_duplicates():
    # List with duplicate elements
    arr = [3, 1, 2, 3, 4, 2, 1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_single_element():
    # List with a single element
    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

# -------------------------
# 2. Edge Test Cases
# -------------------------

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

def test_sorter_all_identical_elements():
    # List where all elements are the same
    arr = [7] * 10
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_range():
    # List with very large and very small integers
    arr = [sys.maxsize, -sys.maxsize-1, 0, 999999999, -999999999]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_floats_and_ints():
    # List with both floats and ints
    arr = [3.5, 2, 4.0, 1.1, 2.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_negative_zero():
    # List with -0.0 and 0.0 (should be considered equal in sorting)
    arr = [-0.0, 0.0, 1, -1]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_stability():
    # Sorting should be stable for equal elements
    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})"
    a = Item(1, 'a')
    b = Item(1, 'b')
    c = Item(2, 'c')
    arr = [c, a, b]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_strings():
    # List of strings should be sorted lexicographically
    arr = ["banana", "apple", "cherry"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

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

def test_sorter_custom_objects_without_lt():
    # Objects without __lt__ should raise TypeError
    class NoLt:
        pass
    arr = [NoLt(), NoLt()]
    with pytest.raises(TypeError):
        sorter(arr.copy())

# -------------------------
# 3. Large Scale Test Cases
# -------------------------

def test_sorter_large_sorted_list():
    # Large already sorted list (performance and correctness)
    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
    arr = random.sample(range(1000), 1000)  # 1000 unique random ints
    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_negative_numbers():
    # Large list with negative numbers
    arr = [random.randint(-10000, 0) for _ in range(1000)]
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_large_floats():
    # Large list with 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 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 test cases
import string  # used for string sorting tests
import sys  # used for edge numeric values

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

# unit tests

# -------------------
# 1. BASIC TEST CASES
# -------------------

def test_sorter_basic_integers():
    # Simple list of positive integers
    arr = [3, 1, 2]
    expected = [1, 2, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_negative_integers():
    # List with negative and positive integers
    arr = [-1, 3, 0, -2, 2]
    expected = [-2, -1, 0, 2, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_floats():
    # List with floats and integers
    arr = [2.5, 1.1, 3.0, 0.0]
    expected = [0.0, 1.1, 2.5, 3.0]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_basic_duplicates():
    # List with duplicate values
    arr = [1, 3, 2, 2, 1]
    expected = [1, 1, 2, 2, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_already_sorted():
    # List already sorted
    arr = [1, 2, 3, 4]
    expected = [1, 2, 3, 4]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_basic_reverse_sorted():
    # List sorted in reverse
    arr = [5, 4, 3, 2, 1]
    expected = [1, 2, 3, 4, 5]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

# -------------------
# 2. EDGE TEST CASES
# -------------------

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

def test_sorter_single_element():
    # Single-element list should return itself
    arr = [42]
    expected = [42]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_all_identical_elements():
    # All elements are the same
    arr = [7, 7, 7, 7]
    expected = [7, 7, 7, 7]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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.copy()); result = codeflash_output

def test_sorter_mixed_numeric_types():
    # List with ints and floats
    arr = [1, 2.2, 3, 0.1, -1]
    expected = [-1, 0.1, 1, 2.2, 3]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_strings_case_sensitivity():
    # List of strings with different cases
    arr = ["apple", "Banana", "banana", "Apple"]
    expected = ["Apple", "Banana", "apple", "banana"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_unicode_strings():
    # Unicode strings should sort by Unicode code point
    arr = ["éclair", "apple", "Éclair", "banana"]
    expected = ["Éclair", "apple", "banana", "éclair"]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_sort_is_stable():
    # Sort stability: objects with same key remain in original order
    class Obj:
        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"Obj({self.key}, {self.value})"
    arr = [Obj(1, 'a'), Obj(1, 'b'), Obj(0, 'c'), Obj(2, 'd')]
    expected = [Obj(0, 'c'), Obj(1, 'a'), Obj(1, 'b'), Obj(2, 'd')]
    codeflash_output = sorter(arr.copy()); result = codeflash_output

def test_sorter_list_with_none_raises():
    # List with None and ints should raise TypeError in Python 3
    arr = [1, None, 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_list_with_unorderable_types_raises():
    # List with mixed types that can't be compared should raise TypeError
    arr = [1, "a", 2]
    with pytest.raises(TypeError):
        sorter(arr.copy())

def test_sorter_tuple_input_raises():
    # Passing a tuple instead of a list should raise AttributeError
    arr = (3, 1, 2)
    with pytest.raises(AttributeError):
        sorter(arr)

def test_sorter_mutates_input():
    # Ensure the input list is mutated (sorted in-place)
    arr = [3, 2, 1]
    sorter(arr)

# --------------------------
# 3. LARGE SCALE TEST CASES
# --------------------------

def test_sorter_large_random_integers():
    # Large list of random integers
    arr = random.sample(range(-10000, -9000), 1000)
    expected = sorted(arr)
    codeflash_output = sorter(arr.copy()); result = codeflash_output

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

def test_sorter_large_reverse_sorted_input():
    # Large reverse sorted list
    arr = list(range(999, -1, -1))
    expected = list(range(1000))
    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_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 random floats
    arr = [random.uniform(-10000, 10000) 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.

⏪ Replay Tests and Runtime

Test File::Test Function	Original ⏱️	Optimized ⏱️	Speedup
test_tracer_py__replay_test_0.py::test_codeflash_bubble_sort_sorter	141μs	9.92μs	✅1322%

To edit these changes git checkout codeflash/optimize-sorter-mcv5x6lm and push.