The PPCI (Pure Python Compiler Infrastructure) project is a compiler written entirely in the Python programming language. It contains front-ends for various programming languages as well as machine code generation functionality. With this library you can generate (working!) machine code using Python (and thus very easy to explore, extend, etc.)!
The project contains:
Language frontends for C, Python, Pascal, Basic and Brainfuck
Code generation for several architectures: 6500, arm, avr, m68k, microblaze, msp430, openrisc, risc-v, stm8, x86_64, xtensa
Command line utilities, such as ppci-cc, ppci-ld and ppci-opt
WebAssembly, JVM, OCaml support
Support for ELF, EXE, S-record and hexfile formats
An intermediate representation (IR) which can be serialized in json
The project can be used as a library so you can script the compilation process
Installation
Since the compiler is a python package, you can install it with pip:
$ pip install ppciUsage
An example of commandline usage:
$ cd examples/linux64/hello-make
$ ppci-cc -c -O1 -o hello.o hello.c
...
$ ppci-ld --entry main --layout linux64.ld hello.o -o hello
...
$ ./hello
Hello, World!API example to compile C code:
>>> import io
>>> from ppci.api import cc, link
>>> source_file = io.StringIO("""
... int printf(char* fmt) { }
...
... void main() {
... printf("Hello world!\n");
... }
... """)
>>> obj = cc(source_file, 'arm')
>>> obj = link([obj])Example how to assemble some assembly code:
>>> import io
>>> from ppci.api import asm
>>> source_file = io.StringIO("""section code
... pop rbx
... push r10
... mov rdi, 42""")
>>> obj = asm(source_file, 'x86_64')
>>> obj.get_section('code').data
bytearray(b'[ARH\xbf*\x00\x00\x00\x00\x00\x00\x00')Example of the low level api usage:
>>> from ppci.arch.x86_64 import instructions, registers
>>> i = instructions.Pop(registers.rbx)
>>> i.encode()
b'['Functionality
Can be used with tools like make or other build tools.
- CPU support:
6500, arm, avr, m68k, microblaze, msp430, openrisc, risc-v, stm8, x86_64, xtensa
- Support for:
JVM
OCaml bytecode
LLVM IR
DWARF debugging format
- File formats:
ELF files
COFF PE (EXE) files
hex files
S-record files
Uses well known human-readable and machine-processable formats like JSON and XML as its tools’ formats.
Documentation
Documentation can be found here:
You can try out PPCI at godbolt.org, a site which offers Web access to various compilers: https://godbolt.org/g/eooaPP
1 maintainer
Release files for ppci 0.5.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ppci-0.5.8.tar.gz | 564.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ppci-0.5.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / ppci-0.5.8.tar.gz
| Download URL | ppci-0.5.8.tar.gz |
|---|---|
| Size | 564.1 kB |
| Tags | Source |
|
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Release files / ppci-0.5.8-py3-none-any.whl
| Download URL | ppci-0.5.8-py3-none-any.whl |
|---|---|
| Size | 682.7 kB |
| Tags | Python 3 |
|
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No |
| Uploaded via |
Python-urllib/3.8
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