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benchmarker.py
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import time
import string
import random
from functools import partial, cache
from typing import List, Tuple, Optional, Union, Any, Callable
EXECUTIONS_NUMBER = 50000
# ------------ UTILS ------------
class NOT_SET:
pass
class Generator():
def __init__(self, func: Callable, expected: Optional[Callable[[Any], Any]] = None):
self.f = func
self.expected = expected
def random_int(min: int = 100, max: int = 1000) -> int:
return random.randint(min, max)
def random_string(min_length: int = 100, max_length: int = 1000) -> str:
length = random_int(min_length, max_length)
chars = string.ascii_letters + string.digits + string.punctuation + " "
return ''.join(random.choice(chars) for _ in range(length))
def random_range(min: int = 100, max: int = 1000) -> range:
return range(random_int(min, max))
def random_string_not_palindrome(min_length: int = 100, max_length: int = 1000) -> str:
length = random_int(min_length, max_length)
chars = string.ascii_letters + string.digits + string.punctuation + " "
half_len = length // 2
first_half = [random.choice(chars) for _ in range(half_len)]
second_half = [random.choice(chars) for _ in range(half_len)]
middle = [random.choice(chars)] if length % 2 else []
if half_len > 0 and first_half[0] == second_half[-1]:
available_chars = chars.replace(first_half[0], '')
second_half[-1] = random.choice(available_chars)
return ''.join(first_half + middle + second_half[::-1])
def random_palindrome(min_length: int = 100, max_length: int = 1000) -> str:
length = random_int(min_length, max_length)
half = [random.choice(string.ascii_letters + string.digits) for _ in range(length // 2)]
middle = [random.choice(string.ascii_letters + string.digits)] if length % 2 else []
pal = half + middle + half[::-1]
num_noise = length // 5
for _ in range(num_noise):
idx = random.randint(0, (length-1)//2)
noise = random.choice(string.punctuation + " ")
pal[idx] = noise
pal[-(idx+1)] = noise
return ''.join(pal)
def dataset_maker(generators: List[Generator]) -> Callable[[int], List[Tuple[Any, Union[Any, NOT_SET]]]]:
@cache
def maker(size: int) -> List[Tuple[Any, Optional[Any]]]:
num_generators = len(generators)
if num_generators == 0:
return []
cuts = sorted(random.sample(range(1, size), num_generators - 1)) if num_generators > 1 else []
counts = [end - start for end, start in zip(cuts + [size], [0] + cuts)]
return random.sample(
[
(
gen_input := generator.f(),
generator.expected(gen_input) if generator.expected is not None else NOT_SET()
) for generator, count in zip(generators, counts)
for _ in range(count)
],
size,
)
return maker
def attach_dataset_generator(dataset_generator: Callable[[int], List[Tuple[Any, Union[Any, NOT_SET]]]]) -> Callable:
def decorator(func):
func.dataset_generator = dataset_generator
return func
return decorator
# ------------------------------------
# ------------ DATASETS ------------
class DatasetGenerator:
palindrome = dataset_maker(
[
Generator(func=partial(random_palindrome, min_length=500, max_length=5000), expected=lambda _: True),
Generator(func=partial(random_string_not_palindrome, min_length=500, max_length=5000), expected=lambda _: False),
]
)
reverse_str = dataset_maker([Generator(func=partial(random_string, max_length=10000))])
sum = dataset_maker([Generator(func=partial(random_range, min=1000, max=10000))])
iter = dataset_maker([Generator(func=partial(random_range, min=1000, max=10000))])
# ------------------------------------
# ------------ TEST FUNCS ------------
@attach_dataset_generator(DatasetGenerator.reverse_str)
def reverse_str_pythonic(s: str) -> str:
return s[::-1]
@attach_dataset_generator(DatasetGenerator.reverse_str)
def reverse_str_reversed_join(s: str) -> str:
return ''.join(reversed(s))
@attach_dataset_generator(DatasetGenerator.reverse_str)
def reverse_str_reversed_iter(s: str) -> str:
res = ''
for c in reversed(s):
res += c
return res
@attach_dataset_generator(DatasetGenerator.reverse_str)
def reverse_str_join_iter(s: str) -> str:
return ''.join(s[i] for i in range(len(s)-1, -1, -1))
@attach_dataset_generator(DatasetGenerator.reverse_str)
def reverse_str_iter(s: str) -> str:
res = ''
for i in range(len(s)-1, -1, -1):
res += s[i]
return res
@attach_dataset_generator(DatasetGenerator.sum)
def sum_iter(r: range) -> int:
s = 0
for i in r:
s += i
return s
@attach_dataset_generator(DatasetGenerator.sum)
def sum_gen(r: range) -> int:
return sum(i for i in r)
@attach_dataset_generator(DatasetGenerator.iter)
def iter(r: range) -> None:
for _ in r:
pass
@attach_dataset_generator(DatasetGenerator.iter)
def iter_generator(r: range) -> None:
for _ in (_ for _ in r):
pass
@attach_dataset_generator(DatasetGenerator.palindrome)
def isPalindrome(s: str) -> bool:
s = s.lower()
inverted_i = len(s)-1
normal_i = 0
while inverted_i > normal_i:
i_char = s[inverted_i]
if not i_char.isalnum():
inverted_i -= 1
continue
n_char = s[normal_i]
while not n_char.isalnum() and normal_i < inverted_i:
normal_i += 1
n_char = s[normal_i]
if i_char != n_char:
return False
inverted_i -= 1
normal_i += 1
return True
@attach_dataset_generator(DatasetGenerator.palindrome)
def isPalindromeV2(s: str) -> bool:
new_string = [char for char in s.lower() if char.isalnum()]
return new_string == new_string[::-1]
# ------------------------------------
# ------------ TEST HELPER ------------
def get_func_name(func: Callable) -> str:
return getattr(func, '__name__', 'None')
def do_benchmark(func: Callable, executions_number: int) -> Tuple[float, float, List[Union[bool, None]], None]:
dataset = None
if hasattr(func, 'dataset_generator'):
dataset: List[Tuple[Any, Union[Any, NOT_SET]]] = func.dataset_generator(size=executions_number)
results: List[Union[bool, None]] = []
start = time.perf_counter()
if dataset is not None:
for gen_input, expected_output in dataset:
output = func(gen_input)
ok = None
if not isinstance(expected_output, NOT_SET):
ok = output == expected_output
results.append(ok)
else:
for _ in range(executions_number):
func()
elapsed = time.perf_counter() - start
average = elapsed / executions_number
return elapsed, average, results
# ------------------------------------
class Test():
def __init__(self, func: Callable, executions_number: Optional[int] = EXECUTIONS_NUMBER):
self.func = func
self.executions_number = executions_number
tests: List[Test] = [
Test(reverse_str_pythonic),
Test(reverse_str_reversed_join),
Test(reverse_str_reversed_iter),
Test(reverse_str_join_iter),
Test(reverse_str_iter),
Test(sum_iter),
Test(sum_gen),
Test(iter),
Test(iter_generator),
Test(isPalindrome),
Test(isPalindromeV2),
]
for t in tests:
elapsed, average, results = do_benchmark(t.func, t.executions_number)
hits = [1 if result else 0 for result in results if result is not None]
precision_str = ''
if len(hits) > 0:
precision_str = f'Precision: {(sum(hits) / len(results)) * 100:.2f}%\n'
print(
f'Function: {get_func_name(t.func)}\n'
f'Total: {elapsed:.6f} seconds\n'
f'Average: {average:.6f} seconds\n'
f'{precision_str}'
)