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console.log('Hello LabJack')

var ljn = require('labjack-nodejs');
var NanoTimer = require('nanotimer')
var fs = require('fs')
var now = require('performance-now')
var path = require('path')
var mkdirp = require('mkdirp').mkdirp

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import gym
from gym import wrappers
env = gym.make('CartPole-v0')
env = wrappers.Monitor(env, './tmp/cartpole-experiment-1')
for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        env.render()
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)

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  def align_shapes(self, index=True, axis=0, location=1, to_canvas=False):
        """Aligns selected shapes either in horizontal or vertical axis to
        the left, center, right, or top, center, bottom. If to_canvas is True
        then it aligns to the canvas.
        Parameters
        ----------
        index : bool, list, int
            index of objects to be selected. Where True corresponds to all
            objects, a list of integers to a list of objects, and a single
            integer to that particular object.

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# This is in interactive test

from time import sleep

import threading

from napari.components import Dims
from napari.components._dims._constants import DimsMode
from napari.components._dims.view import QtDims
from napari.util import app_context

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from skimage import data
from skimage.color import rgb2gray

from napari import Viewer
from napari.util import app_context


# THIS WILL NOT WORK UNTIL THERE IS SEPARATION BETWEEN MODEL AND VIEW!

def test_dims_and_ranges():

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"""
 Interactive test for range slider.
"""

# starts the QT event loop
from napari._qt.range_slider.range_slider import QVRangeSlider
from napari.util import app_context

with app_context():

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def _get_viewer_thumbnail(self):
    """Creat an overall thumbnail based on the layer thumbnails."""
    thumbnail = np.zeros(layers.Layer._thumbnail_shape, dtype=np.uint8)

    for layer in self.layers[::-1]:
        if layer.blending == 'translucent':
            f_dest = thumbnail[..., 3][..., None] / 255
            f_source = 1 - layer.thumbnail[..., 3][..., None] / 255
        elif layer.blending == 'additive':
            f_dest = thumbnail[..., 3][..., None] / 255

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def generate_3D_path_meshes_2D(path, p=(0, 0, 1)):
    """Generates list of mesh vertices and triangles from a path

    Parameters
    ----------
    path : (N, D) array
        Vertices specifying the path where D is 2 or 3.
    p : 3-tuple, optional
        orthogonal vector for segment calculation in 3D.

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