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

# unit tests

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

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

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

def test_reverse_sorted_list():
    # Test sorting a list that is sorted in reverse order
    codeflash_output = sorter([5, 4, 3, 2, 1])
    codeflash_output = sorter([10, 5, 0, -5, -10])

def test_unsorted_list():
    # Test sorting a list with random order
    codeflash_output = sorter([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5])
    codeflash_output = sorter([10, -1, 2, -3, 4, 0])

def test_list_with_duplicates():
    # Test sorting a list with duplicate elements
    codeflash_output = sorter([2, 3, 2, 1, 1, 3])
    codeflash_output = sorter([5, 5, 5, 5, 5])

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

def test_list_with_floats():
    # Test sorting a list with floating point numbers
    codeflash_output = sorter([1.1, 3.3, 2.2, 5.5, 4.4])
    codeflash_output = sorter([0.1, -0.1, 0.0, -0.2, 0.2])

def test_large_list():
    # Test sorting a large list
    codeflash_output = sorter([i for i in range(1000, 0, -1)])
    codeflash_output = sorter([i * (-1) ** i for i in range(1000)])

def test_list_with_mixed_data_types():
    # Test sorting a list with mixed data types (should raise TypeError)
    with pytest.raises(TypeError):
        sorter([1, '2', 3, '4', 5])

def test_edge_cases_with_special_values():
    # Test sorting a list with special values like infinity and NaN
    codeflash_output = sorter([float('inf'), 1, 2, float('-inf'), 3])
    codeflash_output = sorter([float('nan'), 1, 2, 3])  # Note: NaN is not comparable, so its position may vary
# 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 random test data

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

# unit tests

def test_sorter_basic():
    # Test single element list
    codeflash_output = sorter([1])
    codeflash_output = sorter(["a"])
    
    # Test two elements list
    codeflash_output = sorter([2, 1])
    codeflash_output = sorter(["b", "a"])
    
    # Test already sorted list
    codeflash_output = sorter([1, 2, 3])
    codeflash_output = sorter(["a", "b", "c"])
    
    # Test reverse sorted list
    codeflash_output = sorter([3, 2, 1])
    codeflash_output = sorter(["c", "b", "a"])
    
    # Test unsorted list
    codeflash_output = sorter([3, 1, 2])
    codeflash_output = sorter(["b", "c", "a"])

def test_sorter_edge_cases():
    # Test empty list
    codeflash_output = sorter([])
    
    # Test list with identical elements
    codeflash_output = sorter([1, 1, 1, 1])
    codeflash_output = sorter(["a", "a", "a", "a"])
    
    # Test list with negative numbers
    codeflash_output = sorter([-1, -3, -2])
    codeflash_output = sorter([0, -1, 1])
    
    # Test list with mixed positive and negative numbers
    codeflash_output = sorter([3, -1, 2, -2])
    
    # Test list with floating point numbers
    codeflash_output = sorter([1.1, 1.0, 1.5])
    codeflash_output = sorter([2.5, 0.5, 1.5])

def test_sorter_large_scale():
    # Test large list of integers
    codeflash_output = sorter(list(range(1000, 0, -1)))
    codeflash_output = sorter(list(range(1000)))
    
    # Test large list of random integers
    random_list_1 = [random.randint(0, 1000) for _ in range(1000)]
    codeflash_output = sorter(random_list_1)
    
    random_list_2 = [random.randint(0, 100000) for _ in range(1000)]
    codeflash_output = sorter(random_list_2)

def test_sorter_special_cases():
    # Test list with strings of different lengths
    codeflash_output = sorter(["abc", "a", "ab"])
    
    # Test list with mixed data types (expected to raise TypeError)
    with pytest.raises(TypeError):
        sorter([1, "a", 3.5])
    
    # Test list with duplicates
    codeflash_output = sorter([3, 1, 2, 3, 1])
    codeflash_output = sorter(["a", "c", "b", "a"])

def test_sorter_performance():
    # Test very large list
    codeflash_output = sorter(list(range(1000000, 999000, -1)))
    
    random_list_3 = [random.randint(0, 1000000) for _ in range(1000)]
    codeflash_output = sorter(random_list_3)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.