Metadata-Version: 2.1
Name: text2digits_custom
Version: 0.1.0
Summary: A small library to convert text numbers to digits in a string; customized
Home-page: https://github.com/ManeshNarayan/text2digits_custom
Author: Shail Choksi, Manesh Narayan
Author-email: kmaneshnarayan@gmail.com
License: UNKNOWN
Project-URL: Source, https://github.com/careless25/text2digits
Description: ## Disclaimer and acknowledgement
        This code is forked from https://github.com/ShailChoksi/text2digits
        He is the original author and maintainer of the source code. Kudos and thanks for the contribution.
        This is a custom fork meant for a specific use case with small changes on top of the original repo.
        
        ## Installation
        ```
        pip3 install text2digits_custom
        ```
        
        ## Usage
        Python 3 only!
        ```
        from text2digits import text2digits
        t2d = text2digits.Text2Digits()
        t2d.convert("twenty ten and twenty one")
        > 2010 and 21
        ```
        
        It can handle a variety of phrases. Spoken/Informal and formal language:
        
        ```
        "A random string" -> 'A random string'
        "I am thirty six years old with a child that is four. I would like to get him four cars!" -> 'I am 36 years old with a child that is 4. I would like to get him 4 cars!'
        "I was born in twenty ten" -> 'I was born in 2010'
        "I was born in nineteen sixty four" -> 'I was born in 1964'
        "I am the fourth cousin" -> 'I am the 4 cousin'
        "I am twenty nine" -> 'I am 29'
        "it was twenty ten and was negative thirty seven degrees" -> 'it was 2010 and was negative 37 degrees'
        "thirty twenty one" -> '3021'
        "one thousand six hundred sixty six" -> '1666'
        "one thousand and six hundred and sixty six" -> '1666'
        "sixteen sixty six" -> '1666'
        "eleven hundred twelve" -> '1112'
        "Sixteen and seven" -> '16 and 7'
        "twenty ten and twenty one" -> '2010 and 21'
        "I was born in nineteen ninety two and am twenty six years old!" -> 'I was born in 1992 and am 26 years old!'
        "three forty five" -> '345'
        ```
        
        I find this useful if using Alexa/Lex to convert audio to text and have to convert the text to digits.
        
        ## Improvements/Issues
        - Still need to add support for decimal numbers
        - Need to add support for negative numbers
        
        ## Acknowledgements
        I have heavily used code from the SO answers from here: https://stackoverflow.com/questions/493174/is-there-a-way-to-convert-number-words-to-integers
        and improved upon them
        
Keywords: text2numbers words2numbers digits numbers custom
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
