import time
import numpy as np

print(np.__version__)

rng = np.random.default_rng(0)
shape = 10000
data = rng.random(size=shape, dtype=np.float32)
niters = 10000

for alpha in [0.1, 0.25]:
    for name, func in [('np', np.clip), ('pg', np.core.umath.clip)]:
        vmin, vmax = alpha, 1 - alpha
        output = np.zeros_like(data)
        t0 = time.perf_counter()
        for _ in range(niters):
            res = func(data, vmin, vmax, out=output)
        t1 = time.perf_counter()
        print(name, data.dtype, alpha, t1 - t0)