numpy import

Author: aamini

mitdeeplearning/lab3.py

@@ -2,6 +2,7 @@
 import base64
 from IPython.display import HTML
 import gym
+import numpy as np
 
 def play_video(filename):
     encoded = base64.b64encode(io.open(filename, 'r+b').read())

setup.py

@@ -12,6 +12,7 @@ def get_dist(pkgname):
     'numpy',
     'regex',
     'tqdm',
+    'gym'
 
 ]
 tf_ver = '2.0.0a'
@@ -21,13 +22,13 @@ def get_dist(pkgname):
 setup(
   name = 'mitdeeplearning',         # How you named your package folder (MyLib)
   packages = ['mitdeeplearning'],   # Chose the same as "name"
-  version = '0.5.3',      # Start with a small number and increase it with every change you make
+  version = '0.5.4',      # Start with a small number and increase it with every change you make
   license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
   description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)',   # Give a short description about your library
   author = 'Alexander Amini',                   # Type in your name
   author_email = '[email protected]',      # Type in your E-Mail
   url = 'http://introtodeeplearning.com',   # Provide either the link to your github or to your website
-  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.5.3.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.5.4.tar.gz',    # I explain this later on
   keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'],   # Keywords that define your package best
   install_requires=install_deps,
   classifiers=[