ntasfi

import gym
import gym_building

import random
import numpy as np
from collections import namedtuple

import torch
import torch.nn as nn
import torch.optim as optim

ntasfi

""" Interface with the PLE environment

Authors: Vincent Francois-Lavet, David Taralla
Modified by: Norman Tasfi
"""
import numpy as np
import cv2
from ple import PLE

from deeprl.base_classes import Environment

ntasfi

import numpy as np
import warnings

from itertools import cycle, izip

from sklearn.utils import gen_even_slices
from sklearn.utils import shuffle
from sklearn.base import BaseEstimator
from sklearn.base import ClassifierMixin
from sklearn.preprocessing import LabelBinarizer

ntasfi

    *rc.Send("LRANGE", "ASMS::accountID:"+aID+"::deviceID:", 0, listLength)
  	*rc.Send("LRANGE", "ASMS::accountID:"+aID+"::deviceID:", 0, listLength)
		*rc.Flush() 
		deviceID, err = *rc.Recieve()
		if err != nil {
			panic(err)
		} //end if