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

# unit tests

def test_basic_sorted_list():
    # Already sorted list
    codeflash_output = sorter([1, 2, 3, 4, 5])
    codeflash_output = sorter([-5, -3, 0, 2, 4])

def test_basic_reverse_sorted_list():
    # Reverse sorted list
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter([4, 2, 0, -3, -5])

def test_basic_unsorted_list():
    # Unsorted list
    codeflash_output = sorter([3, 1, 4, 5, 2])
    codeflash_output = sorter([0, -1, 3, -2, 2])

def test_edge_empty_list():
    # Empty list
    codeflash_output = sorter([])

def test_edge_single_element_list():
    # Single element list
    codeflash_output = sorter([1])
    codeflash_output = sorter([-5])

def test_edge_identical_elements_list():
    # List with identical elements
    codeflash_output = sorter([2, 2, 2, 2])
    codeflash_output = sorter([-3, -3, -3, -3])

def test_mixed_positive_negative_numbers():
    # Mixed positive and negative numbers
    codeflash_output = sorter([-1, 2, -3, 4, 0])
    codeflash_output = sorter([5, -6, 7, -8, 9])

def test_list_with_duplicates():
    # List with duplicates
    codeflash_output = sorter([4, 2, 2, 3, 1, 4])
    codeflash_output = sorter([1, 3, 3, 2, 1, 2])

def test_large_scale():
    # Large list
    large_list = list(range(1000, 0, -1))
    sorted_large_list = list(range(1, 1001))
    codeflash_output = sorter(large_list)

def test_float_numbers():
    # Float numbers
    codeflash_output = sorter([1.1, 2.2, 0.5, 3.3, 2.2])
    codeflash_output = sorter([-1.1, -2.2, 0.5, 3.3, -0.5])

def test_strings():
    # Strings
    codeflash_output = sorter(["apple", "banana", "cherry", "date"])
    codeflash_output = sorter(["zebra", "monkey", "elephant", "ant"])

def test_large_numbers():
    # Large numbers
    codeflash_output = sorter([1000000, 999999, 1000001, 1000002])
    codeflash_output = sorter([-1000000, -999999, -1000001, -1000002])

def test_special_values():
    # Special values
    codeflash_output = sorter([float('inf'), 1, float('-inf'), 0])
    # Note: Sorting with NaN values may have undefined behavior
    codeflash_output = sorter([float('nan'), 1, 2, 3]); 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 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_list_with_duplicates():
    # Test with a list containing duplicate elements
    codeflash_output = sorter([3, 1, 2, 3, 1])
    codeflash_output = sorter(["b", "a", "b", "a"])

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

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

def test_list_with_floating_point_numbers():
    # Test with a list containing floating point numbers
    codeflash_output = sorter([3.5, 1.2, 2.8, 3.1, 1.9])
    codeflash_output = sorter([0.1, -2.3, 3.3, -1.1, 2.2])

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

def test_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(10000, 9000, -1)))

def test_list_with_mixed_data_types():
    # Test with a list containing mixed data types that cannot be compared
    with pytest.raises(TypeError):
        sorter([1, "a", 3, "b"])
    with pytest.raises(TypeError):
        sorter([3.5, "apple", 1, "banana"])

def test_list_with_boolean_values():
    # Test with a list containing boolean values
    codeflash_output = sorter([True, False, True, False])
    codeflash_output = sorter([False, False, True, True])
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.