# Path: src/utils/misc.py
# def accuracy(predict, truth):
# def read_mnist():
# def xavier(shape):
# def extract(name, dfault, **kwargs):
# def nxshape(volume, shape):
# def parse_for(class_type, *args):
# 
# Path: src/gyms/env.py
# class Environment(object):
#     
#     _w = _h = 256
#     _canvas = np.ones((_w, _h, 3)) 
#     _canvas *= 255.
# 
#     def __init__(self):
#         pass
#     
#     def react(self):
#         pass
#     
#     def appearance(self):
#         pass
# 
#     def _reset(self):
#         pass
# 
#     def viz(self, waitKey = 1):
#         self.visualize()
#         return cv2.waitKey(waitKey)


from src.utils.misc import uniform
from .env import Environment
import numpy as np
import cv2

'''
accelerations calculations are from eq. 23 & 24 of:
http://coneural.org/florian/papers/05_cart_pole.pdf
'''

_G = 9.8
_F = 15.0
_MCART = 1.0
_MPOLE = 0.3
_MALL = _MCART + _MPOLE
_LEN = 0.7
_POLE_MLEN = _MPOLE * _LEN
_ALPHAX = 1e-2
_ALPHAA = 2e-2
_THRES = .3


# Path: src/utils/misc.py
# def accuracy(predict, truth):
# def read_mnist():
# def xavier(shape):
# def extract(name, dfault, **kwargs):
# def nxshape(volume, shape):
# def parse_for(class_type, *args):
# 
# Path: src/gyms/env.py
# class Environment(object):
#     
#     _w = _h = 256
#     _canvas = np.ones((_w, _h, 3)) 
#     _canvas *= 255.
# 
#     def __init__(self):
#         pass
#     
#     def react(self):
#         pass
#     
#     def appearance(self):
#         pass
# 
#     def _reset(self):
#         pass
# 
#     def viz(self, waitKey = 1):
#         self.visualize()
#         return cv2.waitKey(waitKey)


# Path: src/gyms/cartpole.py
from src.utils.misc import uniform
from .env import Environment
import numpy as np
import cv2


'''
accelerations calculations are from eq. 23 & 24 of:
http://coneural.org/florian/papers/05_cart_pole.pdf
'''

_G = 9.8
_F = 15.0
_MCART = 1.0
_MPOLE = 0.3
_MALL = _MCART + _MPOLE
_LEN = 0.7
_POLE_MLEN = _MPOLE * _LEN
_ALPHAX = 1e-2
_ALPHAA = 2e-2
_THRES = .3


class CartPole(Environment):