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py_spy_profiling_demo_cpu_intensive_factorization_workload.py

python

py-spy is a command-line tool; however, the typical "quickstart" involves running

15d ago24 linesbenfred/py-spy
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py_spy_profiling_demo_cpu_intensive_factorization_workload.py
1import time
2
3def factorize(n):
4    """A CPU-intensive function to demonstrate profiling."""
5    factors = []
6    d = 2
7    while d * d <= n:
8        while (n % d) == 0:
9            factors.append(d)
10            n //= d
11        d += 1
12    if n > 1:
13        factors.append(n)
14    return factors
15
16def main():
17    print("Py-spy example started. Run 'py-spy top --pid <pid>' in another terminal.")
18    while True:
19        # Simulate heavy workload
20        factorize(10**12 + 39)
21        time.sleep(0.1)
22
23if __name__ == "__main__":
24    main()