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I've been also trying to run cmd within python with an argument of the compiling program but it didn't work. To clarify - I've already got a very specific compiler in my machine which I want to run. I dont want python to act as a compiler. Just get a code, run my compiler over it, and see what's the answer.
- Overview
- Quickstart
- Implementation Overview
- Contributing
- References
A hobby C compiler created in Python.
ShivyC is a hobby C compiler written in Python 3 that supports a subset of the C11 standard and generates reasonably efficient binaries, including some optimizations. ShivyC also generates helpful compile-time error messages.
x86-64 Linux
ShivyC requires only Python 3.6 or later to compile C code. Assembling and linking are done using the GNU binutils and glibc, which you almost certainly already have installed. To install ShivyC: To create, compile, and run an example program: To run the tests:
Other Architectures
For the convenience of those not running Linux, the docker/ directory provides a Dockerfile that sets up an x86-64 Linux Ubuntu environment with everything necessary for ShivyC. To use this, run: This will open up a shell in an environment with ShivyC installed and ready to use with The Docker ShivyC executable will update live with any changes made in your local ShivyC directory.
Preprocessor
ShivyC today has a very limited preprocessor that parses out comments and expands #include directives. These features are implemented between lexer.py and preproc.py.
Lexer
The ShivyC lexer is implemented primarily in lexer.py. Additionally, tokens.py contains definitions of the token classes used in the lexer and token_kinds.py contains instances of recognized keyword and symbol tokens.
Parser
The ShivyC parser uses recursive descent techniques for all parsing. It is implemented in parser/*.py and creates a parse tree of nodes defined in tree/nodes.py and tree/expr_nodes.py.
Pull requests to ShivyC are very welcome. A good place to start is the Issues page. All issues labeled "feature" are TODO tasks. Issues labeled "bug" are individual miscompilations in ShivyC. If you have any questions, please feel free to ask in the comments of the relevant issue or create a new issue labeled "question". Of course, please add test(s) for all new functionality.
Many thanks to our current and past contributers:
•ShivamSarodia
•cclauss
•TBladen
•christian-stephen
•ShivC - ShivyC is a rewrite from scratch of my old C compiler, ShivC, with much more emphasis on feature completeness and code quality. See the ShivC README for more details.
•C11 Specification - http://www.open-std.org/jtc1/sc22/wg14/www/docs/n1570.pdf
•x86_64 ABI - https://github.com/hjl-tools/x86-psABI/wiki/x86-64-psABI-1.0.pdf
•Iterated Register Coalescing (George and Appel) - https://www.cs.purdue.edu/homes/hosking/502/george.pdf
May 31, 2021 · Before seeing “how” to use C code from Python let’s see first “why” one may want to do this. If you are reading this article right now you probably want to do one or more of these 3 things:
Cython is a Python compiler that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations. Cython translates Python code to C/C++ code, but additionally supports calling C functions and declaring C types on variables and class attributes.
Mar 18, 2019 · As it is very evident that many of Python’s built-in libraries are written in C. So, to access C is a very important part of making Python talk to existing libraries. There is an extensive C programming API that Python provides but there are many different to deal with C. Code #1 : [work.c] C-Code that we are dealing.
Aug 27, 2024 · Our C code. Compile the C code into a library. Use a C library in Python. Read the C library. Use library functions. Final comments. Bonus: Callback function. Modify the C code. Modify the Python code. Usage. Goals ¶ In this section, we will show how to create a new Python function that makes use of C code for computations and that can be ...
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Apr 4, 2024 · To use Cython, write a .pyx file with your C-enhanced Python code, then compile it to a shared library that can be imported into your Python script. Cython Code ( myfunctions.pyx ): def add(int x ...
