hard linking bin

Author: aamini

MANIFEST.in

@@ -0,0 +1 @@
+recursive-include mitdeeplearning/bin *

mitdeeplearning/exec/abc2wav renamed to mitdeeplearning/bin/abc2wav

@@ -28,8 +28,7 @@ def save_song_to_abc(song, filename="tmp"):
     return filename
 
 def abc2wav(abc_file):
-    # path_to_tool = './introtodeeplearning_labs/lab1/abc2wav'
-    path_to_tool = os.path.join(os.path.dirname(__file__), 'exec', 'abc2wav')
+    path_to_tool = os.path.join(os.path.dirname(__file__), 'bin', 'abc2wav')
     print("path_to_tool", path_to_tool)
 
     cmd = "{} {}".format(path_to_tool, abc_file)

mitdeeplearning/lab1.py

@@ -22,13 +22,13 @@ def get_dist(pkgname):
 setup(
   name = 'mitdeeplearning',         # How you named your package folder (MyLib)
   packages = ['mitdeeplearning'],   # Chose the same as "name"
-  version = '0.3.1',      # Start with a small number and increase it with every change you make
+  version = '0.3.3',      # 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/v0.3.1.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.3.3.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=[