A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/et_xmlfile-1.1.0.dist-info/METADATA

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Metadata-Version: 2.1
Name: et-xmlfile
Version: 1.1.0
Summary: An implementation of lxml.xmlfile for the standard library
Home-page: https://foss.heptapod.net/openpyxl/et_xmlfile
Author: See ATUHORS.txt
Author-email: charlie.clark@clark-consulting.eu
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
et_xmfile
=========
et_xmlfile is a low memory library for creating large XML files.
It is based upon the `xmlfile module from lxml <http://lxml.de/api.html#incremental-xml-generation>`_ with the aim of allowing code to be developed that will work with both libraries. It was developed initially for the openpyxl project but is now a standalone module.
The code was written by Elias Rabel as part of the `Python Düsseldorf <http://pyddf.de>`_ openpyxl sprint in September 2014.
Note on performance
-------------------
The code was not developed with performance in mind but turned out to be faster than the existing SAX-based implementation but is significantly slower than lxml's xmlfile. There is one area where an optimisation for lxml will negatively affect the performance of et_xmfile and that is when using the `.element()` method on an xmlfile context manager. It is, therefore, recommended not to use this, though the method is provided for code compatibility.