Metadata-Version: 2.1
Name: pyxpdf_data
Version: 1.1.0
Summary: This package contains additional encoding files for pyxpdf. (credit poppler_data)
Home-page: https://github.com/ashutoshvarma/pyxpdf_data
Author: Ashutosh Varma
Author-email: ashutoshvarma11@live.com
License: MIT
Description: # pyxpdf_data
        This python package consists of encoding files for use with [pyxpdf](https://github.com/ashutoshvarma/pyxpdf).
        The encoding files are taken from [poppler_data](https://gitlab.freedesktop.org/poppler/poppler-data) repo .
        It is optional and pyxpdf will automatically utilize them if module is install.
        
        ## Install
        ```
        pip install pyxpdf_data
        ```
        
        ### Why make seprate module for just encoding files ?
        I would love to ship them with pyxpdf but some of these files have different license
        than pyxpdf so we have to distribute them seprately.
        
        ## License
        While pyxpdf is licensed under the GPL, these encoding files have different 
        license,  and thus distributed separately.
        The cMap data files in the poppler_data folder are under the COPYING.adobe 
        license.
        The cidToUnicode, nameToUnicode and unicodeMap data files in the the poppler_data 
        folder are Copyright Glyph & Cog, LLC and are under the COPYING.gpl2 license.
        
        Fonts in fonts folder are released under the GNU Affero General Public License v3.0.
        Verbatim copies of the Ghostscript project's licensing info are included with this
        package see fonts/COPYING.affero
        
        The rest of module is licensed under MIT.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Text Processing
Description-Content-Type: text/markdown
