@@ -42,6 +42,7 @@ We provide several Jupyter Notebooks: one that walks you through a demo dataset
 # News (and in the news):
 
 - March 2019: DeepLabCut joined [twitter](https://twitter.com/deeplabcut)
+- Jan 2019: We hosted workshops for DLC in Warsaw, Munich and Cambridge. The materials are available [here](https://github.com/AlexEMG/DeepLabCut-Workshop-Materials)
 - Jan 2019: We joined the Image Source Forum for user help: [![Image.sc forum](https://img.shields.io/badge/dynamic/json.svg?label=forum&amp;url=https%3A%2F%2Fforum.image.sc%2Ftags%2Fdeeplabcut.json&amp;query=%24.topic_list.tags.0.topic_count&amp;colorB=brightgreen&amp;&amp;suffix=%20topics&amp;logo=data:image/png;base64,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)](https://forum.image.sc/tags/deeplabcut)
 
 - Nov 2018: We posted a detailed guide for DeepLabCut 2.0 on [BioRxiv](https://www.biorxiv.org/content/early/2018/11/24/476531). It also contains a case study for 3D pose estimation in cheetahs.
 
@@ -51,7 +51,7 @@
     from deeplabcut.refine_training_dataset import extract_outlier_frames, merge_datasets, filterpredictions
 
 #Direct import for convenience
-from deeplabcut.pose_estimation_tensorflow import train_network, train_network_path
+from deeplabcut.pose_estimation_tensorflow import train_network
 from deeplabcut.pose_estimation_tensorflow import evaluate_network
 from deeplabcut.pose_estimation_tensorflow import analyze_videos, analyze_time_lapse_frames
 
 
@@ -7,5 +7,5 @@
 
 """
 
-__version__ = '2.0.6'
+__version__ = '2.0.6.2'
 VERSION = __version__
@@ -0,0 +1,24 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Oct  2 13:56:11 2018
+@author: alex
+
+DEVELOPERS:
+This script tests various functionalities in an automatic way.
+
+It should take about 4:00 minutes to run this in a CPU.
+It should take about 1:30 minutes on a GPU (incl. downloading the ResNet weights)
+
+It produces nothing of interesting scientifically.
+"""
+
+task='TEST' # Enter the name of your experiment Task
+scorer='Alex' # Enter the name of the experimenter/labeler
+
+import os
+
+os.environ['DLClight']='True'
+import deeplabcut
+
+
@@ -1,4 +1,4 @@
 pip uninstall deeplabcut
 python3 setup.py sdist bdist_wheel
-pip install dist/deeplabcut-2.0.6-py3-none-any.whl
+pip install dist/deeplabcut-2.0.6.2-py3-none-any.whl
 
@@ -15,7 +15,7 @@
 
 setuptools.setup(
     name="deeplabcut",
-    version="2.0.6",
+    version="2.0.6.2",
     author="Alexander Mathis, Tanmay Nath, Mackenzie Mathis",
     author_email="alexander.mathis@bethgelab.org",
     description="Markerless pose-estimation of user-defined features with deep learning",