#!/bin/python3
# Generate multiple seeds. Here, we generate 10 seeds
import numpy as np
import os
np.random.seed(22)
n = 10
N = 100
n_processes_per_node = 24
n_processes = N*n_processes_per_node
seeds = np.random.choice(1000, n)
for i in range(n):
	os.system("srun -N {} -t 24:00:00 -p pbatch -n {} python EM_exact_death_times_hierarchical_shared.py --autograd_optim --Z_prior 0.2 --bootstrap_seed {}".format(N, n_processes, seeds[i]))
