Metadata-Version: 2.1
Name: rev-reader
Version: 0.0.3
Summary: Convert transcriptions from rev into FAVE format.
Home-page: https://github.com/patrickschu/rev-reader
Author: Patrick
Author-email: patrickschultz@utexas.edu
License: MIT
Description: 
        ## rev-reader
        
        Parse Json of transcriptions from rev into FAVE-align format and write to CSV.
        
        ### TOC
        1. [Install](#install)
        2. [How to use](#how-to-use)
        3. [Notes](#notes)
        
        ### Install
        
        Pip install as outlined above. 
        
        ### How to use
        Built in Python 3.6.5, should work with Python 2 as well. 
        
        
        1. Run from the command line, option I
        
            `python -m rev_reader.rev_reader $INPUT_FOLDER $ADDITIONAL_OFFSET`
        
            where 
        
            - `$INPUT_FOLDER` is a path to a directory containing some JSON files of rev annotations. The output CSVs will be written to the same directory. This is a required argument.
        
            - `$ADDITIONAL_OFFSET` is a number that will be added to / subtracted from the timestamps before the data is output as CSV. This is an optional argument. 
        
            For example, the command below will convert all the JSON files in the folder _annotated_files_ and subtract 0.01 from each time stamp. It will write CSV files  to folder _annotated_files_. 
        
            `python -m rev_reader.rev_reader /home/patrick/Documents/annotated_files -.01`
        
        2. Run from the command line, option II
        
            You can run the _rev\_reader.py_ file directly by executing:
        
            `python $PATH_TO_REV_READER.PY $INPUT_FOLDER $ADDITIONAL_OFFSET`
        
            For example, the command below will convert all the JSON files in the folder _annotated_files_ . It will write CSV files to folder _annotated_files_. 
        
            e.g. `python rev_reader.py /home/patrick/Documents/annotated_files -.01`
        
        3. Import into Python 
        
            You can access the functions directly from Python by doing 
        
            `import rev_reader`
        
            Refer to the Github [docs](https://github.com/patrickschu/rev-reader/tree/master/rev_reader) for info. 
        
        ### Notes
        
        1. The naming scheme for CSVs is $LOWERCASE_NAME_OF_INPUT_JSON + $TIMESTAMP + "_faved.csv"
        
            For example, for input file _BE.TO.017.json_, the CSV file will be _be.to.017\_20181124-1819\_faved.csv_
        
        2. Dependencies: pandas
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=2.7.11
Description-Content-Type: text/markdown
