# 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
    def __init__(self):
        self._trace = list()
        self._reset()
    
    @property
    def ball_colour(self):
        return self._colour

    def react(self, control_left, control_right):
        self._slide = (control_left, control_right)
        acceleration = control_left - control_right
        self._controls = (control_left, control_right)
        self._ball_x += 1e-3 * self._ball_v
        self._ball_v += .1 * acceleration
        
        x = self._ball_x
        if x < 0. or x > 1.:
            if (0.5 - x) * (0.5 - self._colour) > 0.:
                self._trace.append(str(self._colour))
            else:
                self._trace.append('_')
            self._reset()

        c = self._colour
        reward = (c * 2. - 1.) * (x - .5)
        return reward

    def _reset(self):
        self._ball_x = 0.5
        self._ball_v = 0.0

# 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/slider.py
from src.utils.misc import uniform
from .env import Environment
import numpy as np
import cv2

    def __init__(self):
        self._trace = list()
        self._reset()
    
    @property
    def ball_colour(self):
        return self._colour

    def react(self, control_left, control_right):
        self._slide = (control_left, control_right)
        acceleration = control_left - control_right
        self._controls = (control_left, control_right)
        self._ball_x += 1e-3 * self._ball_v
        self._ball_v += .1 * acceleration
        
        x = self._ball_x
        if x < 0. or x > 1.:
            if (0.5 - x) * (0.5 - self._colour) > 0.:
                self._trace.append(str(self._colour))
            else:
                self._trace.append('_')
            self._reset()

        c = self._colour
        reward = (c * 2. - 1.) * (x - .5)
        return reward

    def _reset(self):
        self._ball_x = 0.5
        self._ball_v = 0.0

        self._colour = round(uniform())