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 an empty string
    codeflash_output = funcA(0) # 2.56μs -> 1.90μs (34.8% faster)

def test_funcA_one():
    # Test with input 1, should return "0"
    codeflash_output = funcA(1) # 5.74μs -> 1.97μs (191% faster)

def test_funcA_small_number():
    # Test with a small number, e.g., 5
    codeflash_output = funcA(5) # 18.2μs -> 2.44μs (644% faster)

def test_funcA_typical_number():
    # Test with a typical number, e.g., 10
    codeflash_output = funcA(10) # 34.1μs -> 2.75μs (1137% faster)

# 2. Edge Test Cases

def test_funcA_negative_number():
    # Test with a negative number, should return an empty string (range(negative) is empty)
    codeflash_output = funcA(-5) # 2.33μs -> 1.71μs (36.3% faster)

def test_funcA_just_below_limit():
    # Test with number just below the 1000 cap
    codeflash_output = funcA(999); result = codeflash_output # 3.35ms -> 77.6μs (4215% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_at_limit():
    # Test with number exactly at the 1000 cap
    codeflash_output = funcA(1000); result = codeflash_output # 3.36ms -> 77.0μs (4258% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_above_limit():
    # Test with number above the 1000 cap, should behave as if number==1000
    codeflash_output = funcA(1500); result = codeflash_output # 3.37ms -> 76.8μs (4292% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_negative():
    # Test with a large negative number, should return empty string
    codeflash_output = funcA(-10000) # 2.44μs -> 1.76μs (38.1% faster)

def test_funcA_non_integer_input():
    # Test with a float input, should raise TypeError or behave as range expects integer
    with pytest.raises(TypeError):
        funcA(5.5)

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

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

# 3. Large Scale Test Cases

def test_funcA_large_scale_999():
    # Test with the largest allowed input under the cap
    codeflash_output = funcA(999); result = codeflash_output # 3.36ms -> 79.3μs (4142% faster)

def test_funcA_large_scale_1000():
    # Test with the cap value
    codeflash_output = funcA(1000); result = codeflash_output # 3.37ms -> 76.6μs (4296% faster)

def test_funcA_large_scale_above_cap():
    # Test with a number much larger than the cap
    codeflash_output = funcA(9999); result = codeflash_output # 3.35ms -> 76.3μs (4290% faster)

def test_funcA_performance_on_large_input():
    # Ensure function completes in reasonable time for large input
    # (pytest will fail the test if it hangs)
    codeflash_output = funcA(1000); result = codeflash_output # 3.38ms -> 76.5μs (4313% faster)

# Additional edge cases

def test_funcA_input_is_zero_string():
    # Test with string '0' input, should raise TypeError
    with pytest.raises(TypeError):
        funcA('0')

def test_funcA_input_is_boolean():
    # Test with boolean input, True should be treated as 1, False as 0
    # In Python, bool is a subclass of int, so this should work
    codeflash_output = funcA(True) # 6.06μs -> 2.48μs (144% faster)
    codeflash_output = funcA(False) # 1.70μs -> 1.05μs (61.9% faster)

def test_funcA_input_is_large_boolean():
    # Test with boolean True but above cap: should still return "0"
    codeflash_output = funcA(True) # 5.92μs -> 2.25μs (163% faster)
# 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 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) # 2.38μs -> 1.79μs (33.0% faster)

def test_funcA_one():
    # Test with input 1: should return "0"
    codeflash_output = funcA(1) # 5.93μs -> 2.00μs (196% faster)

def test_funcA_small_number():
    # Test with input 5: should return "0 1 2 3 4"
    codeflash_output = funcA(5) # 18.0μs -> 2.39μs (652% faster)

def test_funcA_typical_number():
    # Test with input 10: should return "0 1 2 3 4 5 6 7 8 9"
    codeflash_output = funcA(10) # 34.2μs -> 2.78μs (1131% faster)

def test_funcA_just_below_limit():
    # Test with input 999: should return numbers 0 to 998
    codeflash_output = funcA(999); result = codeflash_output # 3.40ms -> 79.2μs (4191% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_at_limit():
    # Test with input 1000: should return numbers 0 to 999
    codeflash_output = funcA(1000); result = codeflash_output # 3.41ms -> 76.3μs (4365% faster)
    expected = " ".join(str(i) for i in range(1000))

# 2. Edge Test Cases

def test_funcA_above_limit():
    # Test with input above the cap: should cap at 1000
    codeflash_output = funcA(1500); result = codeflash_output # 3.42ms -> 76.6μs (4358% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_negative_input():
    # Test negative input: range(negative) is empty, so should return empty string
    codeflash_output = funcA(-5) # 2.44μs -> 1.70μs (43.5% faster)

def test_funcA_large_negative_input():
    # Test large negative input: should also return empty string
    codeflash_output = funcA(-10000) # 2.25μs -> 1.70μs (32.4% faster)

def test_funcA_input_is_limit_plus_one():
    # Test input at 1001: should cap at 1000
    codeflash_output = funcA(1001); result = codeflash_output # 3.33ms -> 77.7μs (4189% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_input_is_limit_minus_one():
    # Test input at 999: should not cap, should return 0..998
    codeflash_output = funcA(999); result = codeflash_output # 3.41ms -> 76.5μs (4354% faster)
    expected = " ".join(str(i) for i in range(999))

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

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

def test_funcA_input_is_float():
    # Test with float input: should raise TypeError
    with pytest.raises(TypeError):
        funcA(5.5)

def test_funcA_input_is_list():
    # Test with list input: should raise TypeError
    with pytest.raises(TypeError):
        funcA([1,2,3])

def test_funcA_input_is_bool():
    # Test with boolean input: True is 1, so should return "0"
    codeflash_output = funcA(True) # 6.32μs -> 2.48μs (155% faster)
    # False is 0, so should return ""
    codeflash_output = funcA(False) # 1.66μs -> 1.05μs (58.1% faster)

# 3. Large Scale Test Cases

def test_funcA_large_input_performance():
    # Test with large input at the cap (1000): should return 0..999 as string
    codeflash_output = funcA(1000); result = codeflash_output # 3.43ms -> 83.7μs (3996% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_input_above_cap():
    # Test with input much larger than cap: should still only return up to 999
    codeflash_output = funcA(9999); result = codeflash_output # 3.41ms -> 76.5μs (4359% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_all_outputs_are_space_separated():
    # For a mid-size input, ensure all numbers are space-separated and in order
    n = 123
    codeflash_output = funcA(n); result = codeflash_output # 405μs -> 11.6μs (3395% faster)
    parts = result.split(' ')
    for idx, part in enumerate(parts):
        pass

def test_funcA_output_is_empty_for_zero_or_negative():
    # For zero and negative, output should be empty string
    codeflash_output = funcA(0) # 2.48μs -> 1.76μs (40.3% faster)
    codeflash_output = funcA(-1) # 1.44μs -> 852ns (69.4% faster)
    codeflash_output = funcA(-100) # 942ns -> 791ns (19.1% faster)

def test_funcA_output_for_maximum_length():
    # For n=1000, output should have correct length
    codeflash_output = funcA(1000); result = codeflash_output # 3.39ms -> 76.9μs (4302% faster)
    # The split result should be correct
    parts = result.split(' ')
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.