gistfile1.txt

import simpy
from scipy.stats import truncnorm


def get_truncated_normal(mean=0, sd=1, low=0, upp=1):
    return truncnorm((low - mean) / sd, (upp - mean) / sd, loc=mean, scale=sd)


exam_queue = []


def r(env: simpy.Environment, name, delay: float):
    yield env.timeout(delay)
    print(f"{env.now} push")
    e = env.event()
    exam_queue.append(e)
    yield e

    print(f"wait: {env.now - delay}")


def process_queue(env, name):
    while True:
        if len(exam_queue) > 0:
            a = exam_queue.pop()
            yield env.timeout(0.033333333)
            a.succeed()
            print(f"{env.now} pop")
        else:
            yield env.timeout(0.001)


env = simpy.Environment()
[env.process(r(env, "fast", get_truncated_normal(mean=8, sd=2, low=0, upp=24).rvs())) for _ in range(20000)]
[env.process(process_queue(env, "process")) for _ in range(100)]
env.run(until=25)