Metadata-Version: 2.1
Name: word2number-i18n
Version: 0.1.2
Summary: Convert i18n number words eg. three hundred and forty two to numbers (342).
Home-page: https://github.com/bastie/w2ni18n
Author: Sebastian Ritter
Author-email: nospam@example.com
License: UNKNOWN
Project-URL: Source, https://github.com/bastie/w2ni18n
Description: # Word to Number i18n
        
        This is the i18n extension Python module to convert number words (eg. twenty one) to numeric digits (21).
        It works for positive numbers upto the range of 999,999,999,999 (i.e. billions)
        Below is the installation, usage and other details of this module.
        
        ## Installation
        
        Please ensure that you have **updated pip** to the latest version before installing word2number.
        
        You can install the module using Python Package Index using the below command.
        
            pip install word2number
        
        Make sure you install all requirements given in requirements.txt
        ```
        pip install -r requirements.txt
        ```
        ## Usage
        
        First you have to import the module using the below code.
        
            from word2numberi18n import w2n
        
        Then you can use the **word_to_num** method to convert a number-word to numeric digits, as shown below.
        ```
        print(w2n.word_to_num("two million three thousand nine hundred and eighty four"))
        2003984
        ```
        ```
        print(w2n.word_to_num('two point three')) 
        2.3
        ```
        ```
        print(w2n.word_to_num('112')) 
        112
        ```
        ```
        print(w2n.word_to_num('point one')) 
        0.1
        ```
        ```
        print(w2n.word_to_num('one hundred thirty-five')) 
        135
        ```
        ```
        print(w2n.word_to_num('million million'))
        Error: Redundant number! Please enter a valid number word (eg. two million twenty three thousand and forty nine)
        None
        ```
        ```
        print(w2n.word_to_num('blah'))
        Error: No valid number words found! Please enter a valid number word (eg. two million twenty three thousand and forty nine)
        None
        ```
        
        ### for word2number user
        Change your import from word2number to word2numberi18n.
        
            from word2numberi18n import w2n
        
        ## i18n
        word2number looking for your specific language with
            1. defined environment variable w2n.lang with ISO lang code like en, hi, de and if not found
            2. over locale.getdefaultlocale() and if not found
            3. over environment variable "LANGUAGE" and if not found
            4. fallback to english 
        Place in the data directory your language specific dictionary file with ISO lang code in the name.
           
        ### Request new language ###
        Do follow steps
            1. check your request (directory data), textfile name ISO-639-1 code
            2. if not found check ISO-639-3 code
            3. if not found create new file with new ISO-639-1/3 code
        
        #### Example ####
        You want to tranfer NLP CARD to numeric value for Lower Sorbian. German (de) isn't it. 
        You do not found an ISO-639-1 code, you do not found an ISO-639-1 file for ```dsb``` extension.
        You create a new file ```number_system_dsb.txt``` with utf-8 encoding
            null 0
            jaden 1
            dwa 2
            tśi 3
            styri 4
            pěś 5
            šesć 6
            sedym 7
            wósym 8
            źewjeś 9
            źaseś 10
            [...]
            point ,
        
        ## Bugs/Errors
        - german language need more specific algorithm
        
        ### w2n fixed ###
        - ```Add regex to fix comma bug``` fixed by jnelson16
        
        ## Thanks
        Thanks to word2number coder and contributors 
        - Akshay Nagpal [akshaynagpal](https://github.com/akshaynagpal)
        - Ben Batorsky [bpben](https://github.com/bpben)
        - Alex [ledovsky](https://github.com/ledovsky)
        - Tal Yarkoni [tyarkoni](https://github.com/tyarkoni)
        - ButteredGroove [ButteredGroove](https://github.com/ButteredGroove)
        - Jonathan Nelson [jnelsen16](https://github.com/jnelson16)
        
        ## License
        The MIT License (MIT)
        
        Copyright (c) 2016 Akshay Nagpal 
        
        Copyright (c) 2020 Sebastian Ritter
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
        
Keywords: numbers,convert,words,i18n
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Internationalization
Requires-Python: >=3
Description-Content-Type: text/markdown
