Skip to main content

A Python interface for CLP, CBC, and CGL

Project description

Important Notice

To comply with PEP8 we decided to rename the package name from CyLP to cylp, which was long overdue. It affects the package name ONLY and a simple replace can make your program work with the new settings. Thank you for your understanding.

What is CyLP?

CyLP is a Python interface to COIN-ORs Linear and mixed-integer program solvers (CLP, CBC, and CGL). CyLPs unique feature is that you can use it to alter the solution process of the solvers from within Python. For example, you may define cut generators, branch-and-bound strategies, and primal/dual Simplex pivot rules completely in Python.

You may read your LP from an mps file or use the CyLPs easy modeling facility. Please find examples in the documentation.

Note

CyLP interfaces a limited number of functionalities of COIN-ORs solvers. If there is any particular class or method in CLP, CBC, and CGL that you would like to use in Python please don’t hesitate to let us know; we will try to make the connections. Moreover, in the case that you find a bug or a mistake, we would appreciate it if you notify us. Contact us at mehdi [dot] towhidi [at] gerad [dot] ca.

Who uses CyLP

CyLP is being used in a wide range of practical and research fields. Some of the users include:

  1. PyArt, The Python ARM Radar Toolkit, used by Atmospheric Radiation Measurement (U.S. Department of energy). https://github.com/ARM-DOE/pyart
  2. Meteorological Institute University of Bonn.
  3. Sherbrooke university hospital (Centre hospitalier universitaire de Sherbrooke): CyLP is used for nurse scheduling.
  4. Maisonneuve-Rosemont hospital (L’hopital HMR): CyLP is used for physician scheduling with preferences.
  5. Lehigh University: CyLP is used to teach mixed-integer cuts.
  6. IBM T. J. Watson research center
  7. Saarland University, Germany

Installation

STEP 1:

Install CBC (http://www.coin-or.org/download/source/Cbc/). CyLP can be compiled against Cbc version 2.8.5. Please go to the installation directory and run:

$ ./configure
$ make
$ make install
STEP 2:

Create an environment variable called COIN_INSTALL_DIR pointing to your installation of Coin. For example:

$ export COIN_INSTALL_DIR=/Users/mehdi/Cbc-2.8.5

You may also add this line to your ~/.bash_rc or ~/.profile to make it persistent.

STEP 3:

Install CyLP. Go to CyLP’s root directory and run:

$ python setup.py install
STEP 4 (LINUX):

In linux you might also need to add COIN’s lib directory to LD_LIBRARY_PATH as follows:

$ export LD_LIBRARY_PATH=/path/to/Cbc-2.8.5/lib:$LD_LIBRARY_PATH"
Optional step:

If you want to run the doctests (i.e. make doctest in the doc directory) you should also define:

$ export CYLP_SOURCE_DIR=/Path/to/cylp

Now you can use CyLP in your python code. For example:

>>> from cylp.cy import CyClpSimplex
>>> s = CyClpSimplex()
>>> s.readMps('../input/netlib/adlittle.mps')
0
>>> s.initialSolve()
'optimal'
>>> round(s.objectiveValue, 3)
225494.963

Or simply go to CyLP and run:

$ python -m unittest discover

to run all CyLP unit tests.

Modeling Example

Here is an example of how to model with CyLP’s modeling facility:

import numpy as np
from cylp.cy import CyClpSimplex
from cylp.py.modeling.CyLPModel import CyLPArray

s = CyClpSimplex()

# Add variables
x = s.addVariable('x', 3)
y = s.addVariable('y', 2)

# Create coefficients and bounds
A = np.matrix([[1., 2., 0],[1., 0, 1.]])
B = np.matrix([[1., 0, 0], [0, 0, 1.]])
D = np.matrix([[1., 2.],[0, 1]])
a = CyLPArray([5, 2.5])
b = CyLPArray([4.2, 3])
x_u= CyLPArray([2., 3.5])

# Add constraints
s += A * x <= a
s += 2 <= B * x + D * y <= b
s += y >= 0
s += 1.1 <= x[1:3] <= x_u

# Set the objective function
c = CyLPArray([1., -2., 3.])
s.objective = c * x + 2 * y.sum()

# Solve using primal Simplex
s.primal()
print s.primalVariableSolution['x']

Documentation

You may access CyLP’s documentation:

  1. Online : Please visit http://mpy.github.io/cylpdoc/
  2. Offline : To install CyLP’s documentation in your repository, you need Sphinx (http://sphinx.pocoo.org/). You can generate the documentation by going to cylp/doc and run make html or make latex and access the documentation under cylp/doc/build. You can also run make doctest to perform all the doctest.
Bitdeli badge githalytics.com

Project details


Release history Release notifications

History Node

0.7.3-

This version
History Node

0.7.2

History Node

0.7.1

History Node

0.7.0

History Node

0.2.3.7

History Node

0.2.3.6

History Node

0.2.3.3

History Node

0.2.3.2

History Node

0.2.3.1

History Node

0.2.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
cylp-0.7.2-py2.7-linux-x86_64.egg (15.6 MB) Copy SHA256 hash SHA256 Egg 2.7 Mar 29, 2014
cylp-0.7.2-py2.7-macosx-10.9-intel.egg (10.0 MB) Copy SHA256 hash SHA256 Egg 2.7 Mar 15, 2014
cylp-0.7.2.win32-py2.7.exe (4.2 MB) Copy SHA256 hash SHA256 Windows Installer 2.7 Mar 15, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page