Metadata-Version: 2.1
Name: ponte
Version: 0.0.1
Summary: A mini-library to process arrays to .json files and viceversa. Developed to pass arrays between Python and C++ through the use of json DOK files.
Home-page: https://github.com/andrewrgarcia/ponte
Author: Andrew Garcia, PhD
License: MIT
Description: # ponte
        
        A mini-library to process arrays to .json files and viceversa. Developed to pass arrays between Python and C++ through the use of json DOK files.
        
        ## Installation
        
        ```ruby
        pip install ponte
        ```
        
        ## Contributors
        
        - [Andrew Garcia](https://github.com/andrewrgarcia) - creator and maintainer
        
        ## Contributing
        
        1. Fork it (<https://github.com/your-github-user/tensorscout/fork>)
        2. Create your feature branch (`git checkout -b my-new-feature`)
        3. Commit your changes (`git commit -am 'Add some feature'`)
        4. Push to the branch (`git push origin my-new-feature`)
        5. Create a new Pull Request
        
        ## Usage Example
        
        For full application, i.e. passing array structures between Python and C++ code, see [bridge](https://github.com/andrewrgarcia/bridge)
        
        ```ruby
        import ponte as bridge
        import numpy as np
        
        'CREATE A 1-D VECTOR'
        X = np.random.choice([0,1,2,3],10,p=[0.7,0.1,0.1,0.1])
        'pack vector to .json file'
        bridge.tojson('sample.json',X)
        
        'PROCESS JSON FILE BACK TO VECTOR'
        array_form = bridge.jsonload('sample.json')
        'print vector'
        print('array:\n',array_form)
        
        '''
        array to DOK:
        {
        	"map": [
        		[1],
        		[4],
        		[5],
        		[8],
        		[9]
        	],
        	"value": [2, 3, 2, 2, 2],
        	"odims": [10]
        }
        
        DOK to array:
        [0. 2. 0. 0. 3. 2. 0. 0. 2. 2.]
        '''
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
