from functools import lru_cache

# imports
import pytest  # used for our unit tests
from workload import funcA

# unit tests

# --------------------
# Basic Test Cases
# --------------------

def test_funcA_zero():
    # Test for input 0 (should return empty string)
    codeflash_output = funcA(0) # 2.96μs -> 2.46μs (20.4% faster)

def test_funcA_one():
    # Test for input 1 (should return '0')
    codeflash_output = funcA(1) # 3.02μs -> 2.67μs (13.5% faster)

def test_funcA_two():
    # Test for input 2 (should return '0 1')
    codeflash_output = funcA(2) # 3.40μs -> 3.00μs (13.4% faster)

def test_funcA_five():
    # Test for input 5 (should return '0 1 2 3 4')
    codeflash_output = funcA(5) # 3.38μs -> 3.00μs (12.7% faster)

def test_funcA_typical_small_number():
    # Test for input 10 (should return '0 1 2 3 4 5 6 7 8 9')
    codeflash_output = funcA(10) # 1.00μs -> 771ns (29.8% faster)

# --------------------
# Edge Test Cases
# --------------------

def test_funcA_negative():
    # Negative input should return empty string (range(negative) is empty)
    codeflash_output = funcA(-5) # 2.63μs -> 2.31μs (14.3% faster)

def test_funcA_large_input_caps_at_1000():
    # Input greater than 1000 should cap at 1000
    codeflash_output = funcA(1500); result = codeflash_output # 89.6μs -> 79.1μs (13.3% faster)
    # Should be space-separated numbers from 0 to 999
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_exactly_1000():
    # Input exactly 1000 should return 0..999
    codeflash_output = funcA(1000); result = codeflash_output # 1.18μs -> 802ns (47.4% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_just_below_1000():
    # Input 999 should return 0..998
    codeflash_output = funcA(999); result = codeflash_output # 88.1μs -> 77.6μs (13.6% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_float_input():
    # Float input should raise TypeError (range expects integer)
    with pytest.raises(TypeError):
        funcA(5.5)

def test_funcA_string_input():
    # String input should raise TypeError
    with pytest.raises(TypeError):
        funcA("10")

def test_funcA_none_input():
    # None input should raise TypeError
    with pytest.raises(TypeError):
        funcA(None)

def test_funcA_bool_input():
    # Boolean input: True is 1, False is 0
    codeflash_output = funcA(True) # 3.64μs -> 3.24μs (12.4% faster)
    codeflash_output = funcA(False) # 1.58μs -> 1.20μs (31.7% faster)

def test_funcA_minimum_integer():
    # Very large negative input should return empty string
    codeflash_output = funcA(-1000000) # 2.96μs -> 2.13μs (38.5% faster)

def test_funcA_input_is_list():
    # List input should raise TypeError
    with pytest.raises(TypeError):
        funcA([5])

# --------------------
# Large Scale Test Cases
# --------------------

def test_funcA_large_scale_500():
    # Test with 500 elements
    codeflash_output = funcA(500); result = codeflash_output # 46.3μs -> 40.6μs (14.1% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with 999 elements
    codeflash_output = funcA(999); result = codeflash_output # 1.17μs -> 801ns (46.3% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_1000():
    # Test with maximum allowed (1000)
    codeflash_output = funcA(1000); result = codeflash_output # 1.22μs -> 832ns (47.0% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_performance_repeated_calls():
    # Test repeated calls with same input to check cache doesn't affect correctness
    for _ in range(10):
        codeflash_output = funcA(1000)

def test_funcA_performance_varied_calls():
    # Test repeated calls with different inputs to check cache correctness
    for n in range(990, 1001):
        codeflash_output = funcA(n)

def test_funcA_performance_many_small_calls():
    # Test many small calls to test cache and correctness
    for n in range(0, 100):
        codeflash_output = funcA(n)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from functools import lru_cache

# imports
import pytest  # used for our unit tests
from workload import funcA

# unit tests

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

def test_funcA_zero():
    # Test with input 0 (should return empty string)
    codeflash_output = funcA(0) # 1.04μs -> 842ns (23.8% faster)

def test_funcA_one():
    # Test with input 1 (should return "0")
    codeflash_output = funcA(1) # 1.04μs -> 801ns (30.1% faster)

def test_funcA_small_number():
    # Test with a small number
    codeflash_output = funcA(5) # 992ns -> 792ns (25.3% faster)

def test_funcA_typical_number():
    # Test with a typical number in the middle of the range
    codeflash_output = funcA(10) # 1.00μs -> 762ns (31.5% faster)

def test_funcA_string_equivalence():
    # Test that the output is a string and not a list
    codeflash_output = funcA(3); result = codeflash_output # 1.00μs -> 782ns (28.1% faster)

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

def test_funcA_negative_number():
    # Negative number should be treated as range(negative) == empty
    codeflash_output = funcA(-5) # 1.09μs -> 832ns (31.2% faster)

def test_funcA_large_number_capped():
    # Input greater than 1000 should cap at 1000
    codeflash_output = funcA(1500); result = codeflash_output # 1.18μs -> 791ns (49.4% faster)
    # Should be string of "0 1 2 ... 999"
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_at_cap():
    # Input exactly at cap (1000)
    codeflash_output = funcA(1000); result = codeflash_output # 1.17μs -> 781ns (50.2% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_at_cap_plus_one():
    # Input just above cap (1001)
    codeflash_output = funcA(1001); result = codeflash_output # 1.18μs -> 811ns (45.7% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_non_integer_input():
    # Should raise TypeError for non-integer input
    with pytest.raises(TypeError):
        funcA("10")
    with pytest.raises(TypeError):
        funcA(5.5)
    with pytest.raises(TypeError):
        funcA(None)

def test_funcA_boolean_input():
    # Python treats True as 1 and False as 0
    codeflash_output = funcA(True) # 1.45μs -> 911ns (59.4% faster)
    codeflash_output = funcA(False) # 592ns -> 471ns (25.7% faster)

def test_funcA_minimum_integer():
    # Test with minimum possible integer value
    codeflash_output = funcA(-999999) # 3.22μs -> 2.44μs (31.6% faster)

def test_funcA_maximum_integer():
    # Test with a very large integer (should cap at 1000)
    codeflash_output = funcA(10**9); result = codeflash_output # 1.18μs -> 801ns (47.6% faster)
    expected = " ".join(str(i) for i in range(1000))

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

def test_funcA_large_scale_500():
    # Test with a large, but not capped, number
    n = 500
    codeflash_output = funcA(n); result = codeflash_output # 1.24μs -> 862ns (44.1% faster)
    expected = " ".join(str(i) for i in range(n))

def test_funcA_large_scale_999():
    # Test with n=999 (one less than cap)
    n = 999
    codeflash_output = funcA(n); result = codeflash_output # 1.23μs -> 822ns (49.9% faster)
    expected = " ".join(str(i) for i in range(n))

def test_funcA_performance_under_repeated_calls():
    # Test repeated calls to ensure caching doesn't break output
    n = 1000
    expected = " ".join(str(i) for i in range(n))
    for _ in range(10):
        codeflash_output = funcA(n)

def test_funcA_performance_under_varied_calls():
    # Test repeated calls with different arguments to test cache
    results = []
    for n in range(0, 1001, 100):
        codeflash_output = funcA(n); result = codeflash_output
        expected = " ".join(str(i) for i in range(n))
        results.append(result)

# -----------------------
# Additional Edge Cases
# -----------------------

def test_funcA_input_is_zero_string():
    # Should raise TypeError for string input, even if string is "0"
    with pytest.raises(TypeError):
        funcA("0")

def test_funcA_input_is_float_equivalent_to_int():
    # Should raise TypeError for float input, even if float is 5.0
    with pytest.raises(TypeError):
        funcA(5.0)

def test_funcA_input_is_list():
    # Should raise TypeError for list input
    with pytest.raises(TypeError):
        funcA([10])

def test_funcA_input_is_none():
    # Should raise TypeError for None input
    with pytest.raises(TypeError):
        funcA(None)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.