python-decompile3 | Python decompiler for 3.7-3.8 Stripped | Bytecode library
kandi X-RAY | python-decompile3 Summary
kandi X-RAY | python-decompile3 Summary
Python decompiler for 3.7-3.8 Stripped down from uncompyle6 so we can refactor and start to fix up some long-standing problems
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Top functions reviewed by kandi - BETA
- Configurable method for Python 3 . 7 .
- Ingest a code object .
- Creates a function definition .
- grammarize .
- MPmisc index
- r Check if elhs is in the grammar .
- Handle nested dictionaries .
- Main function .
- engine for template engine
- Configure the SQL code for the given version .
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QUESTION
I forgot to add .gitignore
in my repository root of my Python Django Project and I committed the code to my github repository. Now the root folder contains __pycache__
, where all the compiled python files are located. I tried looking at, how to decompile the files and found the required resource uncompyle6 on PyPI. However, it works for Python 2.4 - 3.8
. In addition, there is a Python decompiler decompyle3 for Python 3.7 - 3.8
which is stripped down from uncompyle6. But the version of Python I have been using all along is Python 3.9.
Is there a way I can get around this and be able to solve my problem of decompiling my .py files anyhow so I can get the earlier project structure that I require?
Edit: unpyclib and Decompyle++ are another tools that I looked into, however both are Python 2.xx only programs. The most successful decompiler is uncompyle6(offering support upto Python 3.8
as of now) as is quite evident from several other responses on stackoverflow.
ANSWER
Answered 2021-May-24 at 20:17I retrieved my .py files by reverting my commits and by creating a separate branch and checking out on that branch such that my head pointed to the same.
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Install python-decompile3
You can use python-decompile3 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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