https://github.com/sngjuk/argparse-to-class

Transform argparse into class format for Jupyter Notebook execution
https://github.com/sngjuk/argparse-to-class

argparse argument-parser arguments ipython-notebook jupyter jupyter-notebook

Last synced: 9 days ago
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Transform argparse into class format for Jupyter Notebook execution

• Host: GitHub
• URL: https://github.com/sngjuk/argparse-to-class
• Owner: sngjuk
• License: mit
• Created: 2017-09-01T09:30:13.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-02-17T18:39:32.000Z (about 4 years ago)
• Last Synced: 2025-02-01T10:22:58.068Z (20 days ago)
• Topics: argparse, argument-parser, arguments, ipython-notebook, jupyter, jupyter-notebook
• Language: Python
• Homepage:
• Size: 113 KB
• Stars: 21
• Watchers: 3
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Argparse2class for Jupyter execution.

Argparse transformation for Jupyter Notebook execution. (for quick testing in .ipynb)


Copy & paste class-formatted arguments to replace argparse. 


Notice! It's better to use ```args = parser.parse_args(args=[])``` syntax - https://stackoverflow.com/a/47587545/3618853


### quick web transformation :

http://35.192.144.192:8000/arg2cls.html

### usage : 

```

python3 arg2cls.py [target.py] [target2.py(optional)] ...

```

### make argument parser into-

```

parser = argparse.ArgumentParser(description='PyTorch PennTreeBank RNN/LSTM Language Model')

parser.add_argument('--data', type=str, default='./data/penn',

                    help='location of the data corpus')

parser.add_argument('--model', type=str, default='LSTM',

                    help='type of recurrent net (RNN_TANH, RNN_RELU, LSTM, GRU)')

parser.add_argument('--emsize', type=int, default=200,

                    help='size of word embeddings')

parser.add_argument('--nhid', type=int, default=200,

                    help='number of hidden units per layer')

```

### class format

```

class args:

    data = './data/penn'

    model = 'LSTM'

    emsize = 200

    nhid = 200

```

### input (argparse lines) :

![alt text](http://pds27.egloos.com/pds/201709/01/00/c0134200_59a941fb9501e.png)

### ouput (args class) :

![alt text](http://thumbnail.egloos.net/600x0/http://pds25.egloos.com/pds/201709/01/00/c0134200_59a936974c78f.png)

### transformed usage : 

If there's no default value for argument, It will have warning value. (###manual_setting_required###)

![alt text](http://pds21.egloos.com/pds/201709/01/00/c0134200_59a937f65f737.png)