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| import threading | |
| import time | |
| import numpy as np | |
| class Runner: | |
| def __init__(self): | |
| self.is_running = True | |
| self.threads = [] | |
| for k in range(10): | |
| t = threading.Thread(target=self.do_work, name=str(k), args=(5.0, )) | |
| self.threads.append(t) | |
| t.start() | |
| # time.sleep(0.5) | |
| def do_work(self, delta_t): | |
| last = time.perf_counter() | |
| print('starting thread: ', threading.current_thread().name) | |
| while self.is_running: | |
| if (time.perf_counter() - last) > delta_t: | |
| last = time.perf_counter() | |
| data = np.random.random((1000, 100)) | |
| _ = np.linalg.svd(data, full_matrices=False) | |
| else: | |
| diff = delta_t - (time.perf_counter() - last) | |
| if diff > 0: | |
| time.sleep(diff) | |
| def stop(self): | |
| self.is_running = False | |
| print('stopping threads') | |
| for t in self.threads: | |
| t.join() | |
| print('threads stopped') | |
| def run(): | |
| start_time = time.perf_counter() | |
| r = Runner() | |
| while time.perf_counter() - start_time < 100: | |
| time.sleep(1.0) | |
| r.stop() | |
| if __name__ == '__main__': | |
| run() |
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