Awesome
Foresight
foresight
is a python library for predicting the output of random number
generators across a variety of platforms and languages including:
- glibc
- MSVC
- PHP
- Java
- MySQL
This repository also contains a simple wrapper (called foresee
) around this
library that provides a CLI.
Installation
To install foresight
, clone this repository and run python setup.py install
.
Library Usage
The library is divided into subpackages for each supported platform. These
subpackages then provide submodules for each supported function. For example,the
following sample will predict the output of the glibc rand_r
from some
prior outputs:
from foresight.glibc import rand_r
prior_outputs = [int(i) for i in input().split()]
future_outputs = rand_r.from_outputs(prior_outputs)
for output in future_outputs:
print(output)
Generally, each module provides the following functions:
-
from_seed(seed)
: get a generator to the future values returned by the RNG when seeded with the given value. -
from_outputs(prev_values)
: attempt to predict the internal state of the RNG from the given prior outputs. If successful, returns a generator to the future values returned by the RNG.
CLI Usage
Command line usage of the library has the following general form:
foresee <platform> <function> [<options>]
For example, the above script is equivalent to the following foresee
command:
foresee glibc rand_r -o <the prior outputs>
By default, an infinite stream is generated. The output may be limited to the next
N
outputs with -c N
.
Tests
Tests can be run with nose
by first installing the package with pip install nose
,
and then running nosetest
in the project root.
License
This project is licensed under the terms of the MIT license. See the LICENSE file for details
Contributing
Keeping in mind that this project is still fairly unstable, contributions are welcome.