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py_spy_profiling_demo_cpu_intensive_factorization_workload.py
pythonpy-spy is a command-line tool; however, the typical "quickstart" involves running
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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()