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mitdeeplearning/lab1.py

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@@ -29,7 +29,7 @@ def save_song_to_abc(song, filename="tmp"):
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def abc2wav(abc_file):
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# path_to_tool = './introtodeeplearning_labs/lab1/abc2wav'
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path_to_tool = os.path.join(os.path.dirname(__file__), 'bin', 'abc2wav')
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path_to_tool = os.path.join(os.path.dirname(__file__), 'exec', 'abc2wav')
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print("path_to_tool", path_to_tool)
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cmd = "{} {}".format(path_to_tool, abc_file)

setup.py

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@@ -22,13 +22,13 @@ def get_dist(pkgname):
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setup(
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name = 'mitdeeplearning', # How you named your package folder (MyLib)
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packages = ['mitdeeplearning'], # Chose the same as "name"
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version = '0.2', # Start with a small number and increase it with every change you make
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version = '0.3.1', # Start with a small number and increase it with every change you make
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license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
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description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)', # Give a short description about your library
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author = 'Alexander Amini', # Type in your name
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author_email = '[email protected]', # Type in your E-Mail
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url = 'http://introtodeeplearning.com', # Provide either the link to your github or to your website
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download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.2.tar.gz', # I explain this later on
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download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.3.1.tar.gz', # I explain this later on
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keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'], # Keywords that define your package best
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install_requires=install_deps,
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classifiers=[

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