Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/alexprengere/pythonbrainfuck

A very (!) fast BrainFuck interpreter in Python
https://github.com/alexprengere/pythonbrainfuck

brainfuck-interpreter jit pypi python rpython

Last synced: 2 months ago
JSON representation

A very (!) fast BrainFuck interpreter in Python

Awesome Lists containing this project

README

        

A very (!) fast BrainFuck interpreter in Python
===============================================

Here is a BrainFuck example:

```bf
+++++ +++++ initialize counter (cell #0) to 10
[ use loop to set the next four cells to 70/100/30/10
> +++++ ++ add 7 to cell #1
> +++++ +++++ add 10 to cell #2
> +++ add 3 to cell #3
> + add 1 to cell #4
<<<< - decrement counter (cell #0)
]
> ++ . print 'H'
> + . print 'e'
+++++ ++ . print 'l'
. print 'l'
+++ . print 'o'
> ++ . print ' '
<< +++++ +++++ +++++ . print 'W'
> . print 'o'
+++ . print 'r'
----- - . print 'l'
----- --- . print 'd'
> + . print '!'
> . print '\n'
```

How to use the interpreter:

```bash
python2 ./bf.py hello.bf
Hello World!
```

## Speeding things up

### With Pypy

If you try to run a long BrainFuck program like `mandel.b`, you will realize our interpreter is pretty slow.

```bash
python2 ./bf.py examples/mandel.b
# wait 1h45
```

A first simple way of speeding things up is to use Pypy instead of CPython.

```bash
PYPY_VERSION="pypy2.7-v7.3.9"
wget "https://downloads.python.org/pypy/${PYPY_VERSION}-linux64.tar.bz2"
tar -xjf "${PYPY_VERSION}-linux64.tar.bz2"
mv "${PYPY_VERSION}-linux64" pypy
# Only 1m30 now!
./pypy/bin/pypy ./bf.py ./examples/mandel.b
```

### With a JIT

The interpreter is actually written in RPython, so it can be statically compiled using the Pypy toolchain.
Download the latest source of Pypy and uncompress it in a `pypy-src` folder. Note that you could also install `rpython` from PyPI.

```bash
wget "https://downloads.python.org/pypy/${PYPY_VERSION}-src.tar.bz2"
tar -xjf "${PYPY_VERSION}-src.tar.bz2"
mv "${PYPY_VERSION}-src" pypy-src
```

Then you can build from the Python script `bf.py` an executable binary `bf-c`:

```bash
# The compilation will take about 20s
python2 pypy-src/rpython/bin/rpython bf.py
# Mandelbrot now completes in 32s
./bf-c examples/mandel.b
```

You can rebuild the `bf-c` using `--opt=jit` to add a JIT to your BrainFuck interpreter:

```bash
# The compilation will take about 7m (you can speed this up by using Pypy)
python2 pypy-src/rpython/bin/rpython --opt=jit bf.py
# Mandelbrot now completes in about 5 seconds(!)
./bf-c examples/mandel.b
```

### Let's compare with a C implementation

I also looked for a [fast BrainFuck interpreter](http://mazonka.com/brainf/), written in C. After compilation with `gcc -O3` (6.2), running `mandel.b` take about 5 seconds to run, so it is in the same order of magnitude as the JIT version (without `-O3`, it takes 10 seconds).

```bash
gcc -O3 ./resources/bff4.c -o bff4
# About 5s
./bff4 < examples/mandel.b
```

### Let's compile the BrainFuck directly

To complete those numbers, I finally tested a [Brainfuck to C translator](https://gist.github.com/Ricket/939687), then compiled the C version of the `mandel.b` program. With `-O3`, the compiled `mandel.b` runs in a bit less than 1 second (without `-O3`, it takes 15 seconds).

```bash
gcc resources/brainfucc.c -o brainfucc
./brainfucc < examples/mandel.b > mandel.c
gcc -O3 mandel.c -o mandel
# 950ms
./mandel
```

### Summary

Here is a summary of the speed gain I could observe on Ubuntu 16.10 (core i7, 8Go of RAM), running `mandel.b`:

* the initial `bf.py` with CPython (2.7): about 1h45 (baseline)
* the initial `bf.py` with Pypy (5.6.0): 1m30s (70x)
* the `bf-c` without JIT: 32s (x200)
* the `bf-c` with JIT: 5 seconds (x1250)
* the `bff4` C implementation: 5 seconds with `-O3`, 10 seconds without
* the `mandel` binary built when compiling `mandel.b` directly: 1 second with `-O3`, 15 seconds without

The JIT addition contains code from [this amazing tutorial on JITs](http://morepypy.blogspot.fr/2011/04/tutorial-part-2-adding-jit.html).

If the BrainFuck interpreter `bf.py` is a bit hairy to look at, you can check out the [step_by_step](step_by_step) folder to go from the simplest interpreter, then a bit better, then
using only RPython code, then with the JIT-specific code, then with some final optimizations.