Python benchmarking

bsort.py

import random
from timeit import timeit
from typing import List


def bubble_sort(items: List[int]) -> List[int]:
    n = len(items)

    for i in range(n - 1):

        for j in range(0, n - i - 1):

            if items[j] > items[j + 1]:
                items[j], items[j + 1] = items[j + 1], items[j]


numbers = [random.randint(1, 10000) for i in range(1000000)]

print(timeit(lambda:bubble_sort(numbers),number=5))

bsort1000.py

import pickle
from typing import List

def bubble_sort(l:List[int]):
    n = len(l)

    for i in range(n - 1):
        for j in range(0, n - i - 1):
            if l[j] > l[j + 1]:
                l[j], l[j + 1] = l[j + 1], l[j]


def sort_array():
        
    with open('array.pkl', 'rb') as f:
            l = pickle.load(f)
            
    return bubble_sort(l)

fib.py

def fib(n: int) -> int:
    return n if n < 2 else fib(n - 1) + fib(n - 2)

read.py

from glob import glob
from timeit import timeit

file_paths = glob("./data/*.txt")

statement = f"""
for path in {file_paths}:
    with open(path, "r") as f:
        f.read()
"""
  
print(timeit(statement, number=10))

write.py

from timeit import timeit

statement = """
for i in range(100000):
    with open(f"./data/a{i}.txt", "w") as f:
        f.write('a')
"""

print(timeit(statement, number=10))