Testing different python code performance

python_code_tests.py

# Windows 10, x64
# Python 3.8.5

def sep(a=None, b=None):
    return {**({'a': a} if a else {}), **({'b': b} if b else {})}

def comp(a=None, b=None):
    return {k: v for k, v in {'a': a, 'b': b}.items() if v}

def simp(a=None, b=None):
    res = {}
    if a:
       res['a'] = a
    if b:
        res['b'] = b
    return res

def test(iters=1000):
    import time
    for f in [sep, comp, simp]:
        total = 0
        for y in reversed(range(iters)):
            start = time.time()
            for x in range(iters):
                f(x, y)
            total += (time.time() - start)
        print(f'{f.__name__}: {total / iters:.6f}')

test(10000)
# sep: 0.001905
# comp: 0.004173
# simp: 0.001467

# ------------------------------------------------------------------------------
# Array append
#
# Windows 11, x64
# Python 3.10.2
# ------------------------------------------------------------------------------

def append(a, v):
    a.append(v)
    return a

def plus(a, v):
    a += [v]
    return a

def extend(a, v):
    return [*a, v]

def test(fns, els=1000, its=1000):
    for fn in fns:
        sum = 0
        for _ in range(its):
            start = time.monotonic_ns()
            arr = []
            for v in range(els):
                fn(arr, v)
            sum += time.monotonic_ns() - start
        print(f'{fn.__name__}: {sum / its}')
        
test([append, plus, extend], 1000, 10000)
# append: 86000.0
# plus: 118700.0
# extend: 101600.0