https://github.com/chatziko/libqif

Quantitative Information Flow library for python and C++.
https://github.com/chatziko/libqif

Last synced: 3 months ago
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Quantitative Information Flow library for python and C++.

• Host: GitHub
• URL: https://github.com/chatziko/libqif
• Owner: chatziko
• License: lgpl-2.1
• Created: 2014-01-20T14:42:58.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2024-09-03T21:34:47.000Z (5 months ago)
• Last Synced: 2024-09-19T04:19:06.168Z (5 months ago)
• Language: C++
• Homepage:
• Size: 1.54 MB
• Stars: 16
• Watchers: 8
• Forks: 9
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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# libqif

## Install

```bash

pip install qif

```

- Needs `python` >= 3.8 and a `sandybridge` or later CPU

- On linux `pip` >= 19 is needed (make sure to `pip install -U pip`)

## A sample program

```python

from qif import *

def compute_bayes(C):

	pi = probab.uniform(C.shape[0])

	print("Channel:\n", C)

	print("Prior:\n", pi)

	print("Bayes vulnerability", measure.bayes_vuln.posterior(pi, C))

	print("Bayes mult-capacity", measure.bayes_vuln.mult_capacity(C))

compute_bayes(channel.randu(5))

# same, but using rational arithmetic

set_default_type(rat)

C = numpy.array([

	[rat(1,2), rat(1,4), rat(1,4)],

	[rat(1,6), rat(3,6), rat(2,6)],

	[rat(1,2), rat(1,2), rat(0)],

])

compute_bayes(C)

```

## Documentation

A list of methods provided by `qif` is available [here](http://chatziko.github.io/libqif/).

## Use libqif with C++

See the [installation instructions](INSTALL.md).