draft.py

# import os
# import math
# import cv2 as cv
import atexit
import time
from itertools import product

import numpy as np
import torch
from matplotlib import pyplot as plt
import sympy
from common.common_func import *
# import pandas as pd
# import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as func
import torch.optim as optim
from torch.distributions import Normal
from torch.distributions import Categorical
from torch.distributions import MultivariateNormal
# from torch.utils.tensorboard import SummaryWriter
# from tensorboardX import SummaryWriter
# import torch.multiprocessing as mp
# from multiprocessing import shared_memory
from torch.distributions import Uniform
from environment.envs.SecondOrderIntegration.SecondOrderIntegration import SecondOrderIntegration

if __name__ == '__main__':
    c = [[2, 2, 3], [2, 3, 5]]
    cc = np.array(c)
    print(cc)