Source code for arch_gym.envs.archgym_env

import gym
from gym import error, spaces, utils
from gym.utils import seeding

import numpy as np
import math
import time
import sys
import scipy

import os
import datetime



class ArchGymEnv(gym.Env):
    def __init__(self):
        # Will vary based on the comp arch simulator used.
        NUM_INPUT = 1000
        self.observation_space = spaces.Box(low=-100000, high=1000000, shape=(1,NUM_INPUT))
        self.action_space = spaces.Discrete(25)
        self.goal = 0
        self.stepN = 0
        self.episodeN = 0





    def getGoal(self):

        raise NotImplementedError




    def computeReward(self):

        raise NotImplementedError


    def _step(self,action):

        raise NotImplementedError

    def _reset(self):
        # determining the conditions for reset?

        raise NotImplementedError