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 (no numbers to join)
    codeflash_output = funcA(0) # 2.71μs -> 971ns (179% faster)

def test_funcA_one():
    # Test with input 1, should return "0"
    codeflash_output = funcA(1) # 2.88μs -> 872ns (231% faster)

def test_funcA_two():
    # Test with input 2, should return "0 1"
    codeflash_output = funcA(2) # 3.23μs -> 871ns (270% faster)

def test_funcA_small_number():
    # Test with small number, e.g., 5
    codeflash_output = funcA(5) # 3.18μs -> 821ns (287% faster)

def test_funcA_typical_number():
    # Test with a typical number, e.g., 10
    codeflash_output = funcA(10) # 991ns -> 821ns (20.7% faster)

# 2. Edge Test Cases

def test_funcA_negative_number():
    # Negative input should return empty string (range(negative) is empty)
    codeflash_output = funcA(-5) # 2.58μs -> 2.22μs (15.8% faster)

def test_funcA_large_number_exactly_1000():
    # Input 1000 should return string of "0 1 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 78.1μs -> 841ns (9185% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_number_above_1000():
    # Input above 1000 should be capped at 1000
    codeflash_output = funcA(1500); result = codeflash_output # 1.14μs -> 861ns (32.6% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_edge_just_below_1000():
    # Input 999 should return "0 1 ... 998"
    codeflash_output = funcA(999); result = codeflash_output # 77.8μs -> 881ns (8733% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_edge_just_above_zero():
    # Input 1 should return "0"
    codeflash_output = funcA(1) # 1.10μs -> 821ns (34.2% faster)

def test_funcA_float_input():
    # Float input should raise TypeError, as range expects int
    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)

# 3. Large Scale Test Cases

def test_funcA_large_scale_500():
    # Test with 500 elements, ensure output is correct and not truncated
    codeflash_output = funcA(500); result = codeflash_output # 41.6μs -> 1.10μs (3673% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with 999 elements, ensure output is correct and not truncated
    codeflash_output = funcA(999); result = codeflash_output # 1.22μs -> 892ns (37.0% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_1000():
    # Test with 1000 elements, ensure output is correct and not truncated
    codeflash_output = funcA(1000); result = codeflash_output # 1.19μs -> 861ns (38.6% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_scale_above_limit():
    # Input much larger than 1000 should still cap at 1000
    codeflash_output = funcA(999999); result = codeflash_output # 1.11μs -> 891ns (24.8% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_scale_performance():
    # Test with 1000 elements, ensure function runs efficiently (no timeout)
    # This is a basic check; pytest will fail if it takes too long
    codeflash_output = funcA(1000); result = codeflash_output # 1.10μs -> 891ns (23.7% faster)

# 4. Miscellaneous / Unusual Cases

def test_funcA_input_is_bool():
    # Boolean input: True should be treated as 1, False as 0
    codeflash_output = funcA(True) # 3.45μs -> 1.25μs (175% faster)
    codeflash_output = funcA(False) # 1.40μs -> 672ns (109% faster)

def test_funcA_input_is_large_negative():
    # Large negative input should return empty string
    codeflash_output = funcA(-1000000) # 3.02μs -> 2.31μs (30.3% faster)

def test_funcA_input_is_minimum_integer():
    # Minimum possible integer (simulate) should return empty string
    codeflash_output = funcA(-2**63) # 2.98μs -> 2.06μs (44.2% faster)

def test_funcA_input_is_maximum_integer():
    # Maximum possible integer should be capped at 1000
    codeflash_output = funcA(2**63-1); result = codeflash_output # 1.13μs -> 911ns (24.3% faster)
    expected = " ".join(str(i) for i in range(1000))
# 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) # 1.17μs -> 851ns (37.7% faster)

def test_funcA_one():
    # Test with input 1 (should return "0")
    codeflash_output = funcA(1) # 1.15μs -> 841ns (37.0% faster)

def test_funcA_two():
    # Test with input 2 (should return "0 1")
    codeflash_output = funcA(2) # 1.05μs -> 932ns (12.9% faster)

def test_funcA_five():
    # Test with input 5 (should return "0 1 2 3 4")
    codeflash_output = funcA(5) # 1.01μs -> 862ns (17.4% faster)

def test_funcA_ten():
    # Test with input 10 (should return numbers 0 to 9, space-separated)
    expected = " ".join(str(i) for i in range(10))
    codeflash_output = funcA(10) # 922ns -> 882ns (4.54% faster)

# 2. Edge Test Cases

def test_funcA_negative():
    # Test with negative input (should return empty string, as range(negative) is empty)
    codeflash_output = funcA(-5) # 1.13μs -> 1.93μs (41.5% slower)

def test_funcA_large_input_exact_limit():
    # Test with input exactly at the limit (1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1000) # 1.29μs -> 912ns (41.7% faster)

def test_funcA_large_input_above_limit():
    # Test with input above the limit (should cap at 1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1500) # 1.13μs -> 902ns (25.5% faster)

def test_funcA_limit_minus_one():
    # Test with input just below the limit
    expected = " ".join(str(i) for i in range(999))
    codeflash_output = funcA(999) # 1.28μs -> 911ns (40.7% faster)

def test_funcA_limit_plus_one():
    # Test with input just above the limit (should cap at 1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1001) # 1.19μs -> 871ns (36.9% faster)

def test_funcA_float_input():
    # Test with float input (should raise TypeError, as range expects int)
    with pytest.raises(TypeError):
        funcA(3.5)

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

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

def test_funcA_bool_input():
    # Test with boolean input (should treat True as 1, False as 0)
    codeflash_output = funcA(True) # 1.40μs -> 1.27μs (10.2% faster)
    codeflash_output = funcA(False) # 601ns -> 681ns (11.7% slower)

def test_funcA_minimum_possible_integer():
    # Test with very negative integer (should return empty string)
    codeflash_output = funcA(-1000000) # 1.56μs -> 2.14μs (27.1% slower)

# 3. Large Scale Test Cases

def test_funcA_large_scale_500():
    # Test with a large but manageable input (500)
    expected = " ".join(str(i) for i in range(500))
    codeflash_output = funcA(500) # 1.28μs -> 1.10μs (16.4% faster)

def test_funcA_large_scale_999():
    # Test with the largest input below cap (999)
    expected = " ".join(str(i) for i in range(999))
    codeflash_output = funcA(999) # 1.40μs -> 932ns (50.4% faster)

def test_funcA_large_scale_1000():
    # Test with the cap input (1000)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(1000) # 1.20μs -> 932ns (29.0% faster)

def test_funcA_large_scale_above_cap():
    # Test with input well above the cap (9999)
    expected = " ".join(str(i) for i in range(1000))
    codeflash_output = funcA(9999) # 1.16μs -> 841ns (38.3% faster)

def test_funcA_cache_efficiency():
    # Test cache by calling same value multiple times, should always return same result
    codeflash_output = funcA(1000); result1 = codeflash_output # 1.19μs -> 851ns (40.1% faster)
    codeflash_output = funcA(1000); result2 = codeflash_output # 541ns -> 390ns (38.7% faster)
    codeflash_output = funcA(1000); result3 = codeflash_output # 381ns -> 331ns (15.1% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.