perl

Having run a toy performance example, we will now digress somewhat and contrast the performance against a few Python implementations. First let's set up the stage for the calculations, and provide commandline capabilities to the Python script. import argparse import time import math import numpy as np import os from numba import njit from joblib import Parallel, delayed parser = argparse.ArgumentParser() parser.add_argument("--workers", type=int, default=8) parser.add_argument("--arraysize", type=int, default=100_000_000) args = parser.parse_args() # Set the number of threads to 1 for different libraries print("=" * 80) print( f"nStarting the benchmark for {args.arraysize} elements " f"using {args.workers} threads/workersn" ) # Generate the data…