Skip to main content

Plugin-based component modeling tool.

Project description

package name:

TheLandlab

Version:
0.1
release date:

2013-03-24

Authors:

Greg Tucker

Nicole Gasparini

Erkan Istanbulluoglu

Daniel Hobley

Sai Nudurupati

Jordan Adams

Eric Hutton

url:

http://csdms.colorado.edu/trac/landlab

license:

MIT

Install

Installing a release

We don’t have any releases of The Landlab yet so this doesn’t work right now. However, once we have a stable release, this is how users will install our software on their machine:

$ pip install TheLandlab

This will install Landlab as well as any prerequisite packages (required packages are listed in setup.py).

Installing from a source distribution

To install the landlab package from a source distribution (like what you get with a Subversion checkout), run the setup.py script with the install argument:

$ python setup.py install

This will put the landlab package into a system-wide location so that you can import landlab from any python session. It will also install any required packages.

Note that if you are developing landlab you will probably not want to do this! If you do, you would have to run this command everytime you make a change to the code. Instead, you want to install the package in “development mode”. See below in the “Development Environment” section for details on how to do this.

Developing The Landlab

This section describes one possible workflow when developing The Landlab.

Using Subversion

The standard resource for Subversion “Version Control with Subversion” book. It’s available online and is completely free!

http://svnbook.red-bean.com/

Checkout a copy of the source

Use Subversion to checkout the latest version of the source code:

$ svn co https://csdms.colorado.edu/svn/TheLandlab/trunk landlab

Alternatively, if you already have a working copy of the repository you may want to update it with changes that others have committed to the repository:

$ svn update

Review your changes

Now that you’ve made changes to some files, you’ll probably want to have a look at what you’ve done. To see what it is you’ve changed since your last commit (or since you last checkout), use the status command:

$ svn status

Use the Subversion diff command to see the differences between your copy and the copy that you checked out:

$ svn diff <changed_file>

where <changed_file> is the name of the file you’ve made changes to. If you don’t list any file names, this command will print the differences for all files that have changes.

Commit your changes to the repository

Once you have made changes to your copy of the source and are happy with the changes, you can commit them back to the repository:

$ svn commit

This will commit all changes that you have made under the current directory. If you only want to commit changes to a file or two, you can list the file names separately on the command line:

$ svn commit <one_file> <another_file>

The Development Environment

Once I have a working copy of The Landlab source code, I use the pip command to install a development version of the code. If I’m in the base landlab folder (the folder that contains setup.py), I run the following:

$ pip install -e .

This sets up python so that it knows where the landlab package is when try to import it - regardless of what directory you are in. This allows python commands like:

>>> import landlab
>>> from landlab import craters

to work. If you didn’t do this you might start getting errors that contain something like:

ImportError: No module named landlab

To uninstall your development version of landlab:

$ pip uninstall TheLandlab

Running Unit Tests

Immediatly after update your working copy of the code (or checking out a new version) I will normally run the unit tests for the package to make sure nothing is broken. You can do this with setup.py:

$ python setup.py test

You should also probably do this before commiting changes to the repository to make sure you didn’t break things.

Coding Style

Because Python is so flexible style-wise, please try to stick to the coding style described by PEP8,

http://www.python.org/dev/peps/pep-0008/

An easy way to make sure that you’ve done this is by running the pep8 command on each file that you edit. If you don’t have pep8 installed, you will have to install it with:

$ pip install pep8

Now you can run it on a Python source file. For instance:

$ pep8 craters.py

At first, this will probably return lots of problems with you source file. Don’t worry though, it won’t take long to get used to the coding style and be able to write compatible code straigt away. If we stick to this it will make it much easier to read the code written by any one of us.

Build API Documentation

You can build documentation for the LandLab API using Sphinx. Once you have set up your envrionment to properly import landlab, you can generate the necessary sphinx files with:

$ python setup.py build_sphinx

This will put a bunch of files in the docs folder. The HTML documentation will be under the docs/_build/html/ folder. Pointing your browser to index.html under this folder will give you the top-level page for the documentation. This entire folder is relocatable, so if you would like your documentation elsewhere you can easily move the folder around.

If you have added, removed, or renamed files you may need to regenerate some of the sphinx files and rebuild the api docs. If you have Sphinx installed, you can do this with (from the directory that contains setup.py):

$ sphinx-apidoc -o docs landlab

Happy Landlab-ing!

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

TheLandlab-0.1.5.macosx-10.5-x86_64.tar.gz (728.6 kB view details)

Uploaded Source

TheLandlab-0.1.5-py2.7-macosx-10.5-x86_64.egg (960.9 kB view details)

Uploaded Source

File details

Details for the file TheLandlab-0.1.5.macosx-10.5-x86_64.tar.gz.

File metadata

File hashes

Hashes for TheLandlab-0.1.5.macosx-10.5-x86_64.tar.gz
Algorithm Hash digest
SHA256 f2b7955e39cefa31a765245da21a5057dc2032f49c463f627c8b93c038b7d799
MD5 51743f3a4fd5b26772c6c89cf324c9af
BLAKE2b-256 bfe20c47bb5737936fc6825fe14451286604899f4fc7ce31368c3116c45f548c

See more details on using hashes here.

File details

Details for the file TheLandlab-0.1.5-py2.7-macosx-10.5-x86_64.egg.

File metadata

File hashes

Hashes for TheLandlab-0.1.5-py2.7-macosx-10.5-x86_64.egg
Algorithm Hash digest
SHA256 e0b42d02391a8a5d2a6699f7ef22a17b039a6f98d3d7651eb9886b54936553cd
MD5 ecc28f6697b2604cbd133d615a867d8a
BLAKE2b-256 a4a14da6ebea2403c38cc2d31b93589d79d862716206f8bf96a717f14b5e2d0a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page