import time import numpy as np import scipy.special import audmath np.random.seed(0) print("\nExecution time for inverse normal distribution\n") print("Samples scipy audmath") for samples in [ 10000, 100000, 1000000, 10000000, ]: y = np.random.random_sample((samples,)) # Benchmark audmath start = time.process_time() x = audmath.inverse_normal_distribution(y) end = time.process_time() time_audmath = end - start # Benchmark scipy start = time.process_time() x = scipy.special.ndtri(y) end = time.process_time() time_scipy = end - start print(f"{samples: 9.0f} {time_scipy:.2f}s {time_audmath:.2f}s")
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