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

# unit tests

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

def test_funcA_zero():
    # Test with number = 0, should return an empty string
    codeflash_output = funcA(0) # 3.00μs -> 2.15μs (39.4% faster)

def test_funcA_one():
    # Test with number = 1, should return "0"
    codeflash_output = funcA(1) # 6.29μs -> 2.50μs (151% faster)

def test_funcA_small_number():
    # Test with number = 5, should return "0 1 2 3 4"
    codeflash_output = funcA(5) # 20.8μs -> 3.00μs (591% faster)

def test_funcA_typical_number():
    # Test with number = 10, should return numbers 0-9 separated by space
    codeflash_output = funcA(10) # 40.0μs -> 3.36μs (1093% faster)

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

def test_funcA_negative_number():
    # Test with negative input, should return empty string (range(negative) is empty)
    codeflash_output = funcA(-5) # 2.58μs -> 1.96μs (31.1% faster)

def test_funcA_large_number_capped():
    # Test with number > 1000, should cap at 1000 and return "0 1 ... 999"
    codeflash_output = funcA(1500); result = codeflash_output # 4.27ms -> 80.1μs (5233% faster)
    # Should have 1000 numbers, space separated, from "0" to "999"
    parts = result.split(" ")

def test_funcA_exactly_1000():
    # Test with number = 1000, should return "0 1 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 4.20ms -> 72.9μs (5657% faster)
    parts = result.split(" ")

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

def test_funcA_number_is_float():
    # Test with float input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(3.5)

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

def test_funcA_number_is_bool():
    # Test with boolean input, should treat True as 1 and False as 0
    # True -> 1, so output should be "0"
    codeflash_output = funcA(True) # 6.51μs -> 2.90μs (125% faster)
    # False -> 0, so output should be ""
    codeflash_output = funcA(False) # 1.76μs -> 1.30μs (35.5% faster)

def test_funcA_number_is_large_negative():
    # Test with a very large negative number, should return empty string
    codeflash_output = funcA(-999999) # 2.48μs -> 2.40μs (3.76% faster)

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

def test_funcA_large_scale_500():
    # Test with number = 500, check output correctness and performance
    codeflash_output = funcA(500); result = codeflash_output # 1.95ms -> 38.7μs (4933% faster)
    parts = result.split(" ")

def test_funcA_large_scale_999():
    # Test with number = 999, check output correctness
    codeflash_output = funcA(999); result = codeflash_output # 3.96ms -> 73.3μs (5303% faster)
    parts = result.split(" ")

def test_funcA_performance_upper_bound():
    # Test with number = 1000 (upper bound), check output correctness
    codeflash_output = funcA(1000); result = codeflash_output # 4.15ms -> 72.8μs (5596% faster)
    parts = result.split(" ")

def test_funcA_performance_upper_bound_plus_one():
    # Test with number = 1001 (should be capped at 1000)
    codeflash_output = funcA(1001); result = codeflash_output # 3.94ms -> 72.8μs (5318% faster)
    parts = result.split(" ")

# -----------------------
# Miscellaneous Edge Cases
# -----------------------

def test_funcA_number_is_maxint():
    # Test with sys.maxsize, should be capped at 1000
    import sys
    codeflash_output = funcA(sys.maxsize); result = codeflash_output # 3.99ms -> 71.9μs (5451% faster)
    parts = result.split(" ")

def test_funcA_number_is_minint():
    # Test with -sys.maxsize-1, should return empty string
    import sys
    codeflash_output = funcA(-sys.maxsize - 1); result = codeflash_output # 3.47μs -> 2.48μs (39.6% faster)

def test_funcA_number_is_list():
    # Test with list input, should raise TypeError
    with pytest.raises(TypeError):
        funcA([10])

def test_funcA_number_is_dict():
    # Test with dict input, should raise TypeError
    with pytest.raises(TypeError):
        funcA({'number': 10})
# 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

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

def test_funcA_zero():
    # Test with number = 0, should return empty string
    codeflash_output = funcA(0) # 2.79μs -> 2.02μs (37.6% faster)

def test_funcA_one():
    # Test with number = 1, should return "0"
    codeflash_output = funcA(1) # 6.22μs -> 2.40μs (159% faster)

def test_funcA_small_number():
    # Test with number = 5, should return "0 1 2 3 4"
    codeflash_output = funcA(5) # 20.6μs -> 2.98μs (593% faster)

def test_funcA_typical_number():
    # Test with number = 10, should return "0 1 2 3 4 5 6 7 8 9"
    codeflash_output = funcA(10) # 40.2μs -> 3.30μs (1120% faster)

def test_funcA_string_output_type():
    # Test output type is always string
    codeflash_output = funcA(7); result = codeflash_output # 28.0μs -> 3.04μs (818% faster)

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

def test_funcA_negative_number():
    # Negative numbers: Should act like range(negative), which is empty
    codeflash_output = funcA(-5) # 2.65μs -> 1.97μs (34.1% faster)

def test_funcA_large_number_cap():
    # Test with number > 1000, should cap at 1000 and return "0 1 ... 999"
    codeflash_output = funcA(1500); result = codeflash_output # 4.03ms -> 74.0μs (5352% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_at_cap():
    # Test with number = 1000, should return "0 1 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 4.24ms -> 73.0μs (5714% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_near_cap():
    # Test with number just below cap
    codeflash_output = funcA(999); result = codeflash_output # 4.19ms -> 72.6μs (5678% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_float_input():
    # Test with float input, should raise TypeError
    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_boolean_input():
    # Test with boolean input, True treated as 1, False as 0
    codeflash_output = funcA(True) # 6.35μs -> 2.92μs (117% faster)
    codeflash_output = funcA(False) # 1.72μs -> 1.32μs (30.3% faster)

def test_funcA_large_negative():
    # Test with a large negative number
    codeflash_output = funcA(-99999) # 2.52μs -> 2.31μs (9.12% faster)

def test_funcA_minimum_integer():
    # Test with minimum possible integer (simulate)
    codeflash_output = funcA(-2**63) # 3.29μs -> 2.58μs (27.6% faster)

def test_funcA_maximum_integer():
    # Test with maximum possible integer (simulate)
    codeflash_output = funcA(2**63); result = codeflash_output # 3.94ms -> 74.3μs (5206% faster)
    expected = " ".join(str(i) for i in range(1000))

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

def test_funcA_large_scale_100():
    # Test with number = 100 (moderate large)
    codeflash_output = funcA(100); result = codeflash_output # 388μs -> 10.1μs (3743% faster)
    expected = " ".join(str(i) for i in range(100))

def test_funcA_large_scale_500():
    # Test with number = 500
    codeflash_output = funcA(500); result = codeflash_output # 1.96ms -> 38.3μs (5014% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with number = 999 (just below cap)
    codeflash_output = funcA(999); result = codeflash_output # 3.95ms -> 73.9μs (5240% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_cap():
    # Test with number = 1000 (exact cap)
    codeflash_output = funcA(1000); result = codeflash_output # 4.13ms -> 73.1μs (5545% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_large_scale_above_cap():
    # Test with number = 1050 (above cap)
    codeflash_output = funcA(1050); result = codeflash_output # 4.17ms -> 72.8μs (5626% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_performance():
    # Test that function runs within reasonable time for large input
    import time
    start = time.time()
    funcA(1000)
    duration = time.time() - start

# -------------------- Miscellaneous Robustness Tests --------------------

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

def test_funcA_dict_input():
    # Test with dict input, should raise TypeError
    with pytest.raises(TypeError):
        funcA({'a': 1})

def test_funcA_tuple_input():
    # Test with tuple input, should raise TypeError
    with pytest.raises(TypeError):
        funcA((5,))

def test_funcA_unicode_input():
    # Test with unicode string input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(u"5")

def test_funcA_bytes_input():
    # Test with bytes input, should raise TypeError
    with pytest.raises(TypeError):
        funcA(b"5")
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.