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So deactivate your virtualenv and install Cygwin and see my list of gcc tools you need to install in Cygwin to have yourself a working compiler/linker to avoid compile errors like the one you describe above. – hobs. Oct 2, 2013 at 23:38. If you are expecting a cygwin installation to help, you have to do you python package installation inside ...
- 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
- A Simple Example¶ Let’s create an extension module called spam (the favorite food of Monty Python fans…) and let’s say we want to create a Python interface to the C library function system() [1].
- Intermezzo: Errors and Exceptions¶ An important convention throughout the Python interpreter is the following: when a function fails, it should set an exception condition and return an error value (usually -1 or a NULL pointer).
- Back to the Example¶ Going back to our example function, you should now be able to understand this statement: if (!PyArg_ParseTuple(args, "s", &command)) return NULL;
- The Module’s Method Table and Initialization Function¶ I promised to show how spam_system() is called from Python programs. First, we need to list its name and address in a “method table”
Pythran can be (and is probably best) used as an additional backend for NumPy code in Cython. mypyc, a static Python-to-C extension compiler, based on the mypy static Python analyser. Like Cython's pure Python mode, mypyc can make use of PEP-484 type annotations to optimise code for static types.
Apr 23, 2022 · The C and/or Fortran code associated with a Python package is typically distributed in the package’s source code archive, which you’ll need to separately download and install. But you’ll also need to build the source code for your OS before you can use the package, which means you’ll need to create an appropriate build environment on your local system that includes:
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 ...
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2 days ago · Building C and C++ Extensions — Python 3.13.0 documentation. 4. Building C and C++ Extensions ¶. A C extension for CPython is a shared library (e.g. a .so file on Linux, .pyd on Windows), which exports an initialization function. To be importable, the shared library must be available on PYTHONPATH, and must be named after the module name ...
