To use malstroem, do the following, preferably in a virtual environment. Clone the repo.
git clone https://github.com/septima/malstroem
cd malstroemThen install in locally editable (-e) mode and run the tests.
pip install -e .[test]
py.testIf you want to run the speedups they need to be compiled at installation time.
pip install -e .[test,speedups]
py.testAnother option is using tox to run the above tests in both Python2 and Python3 in one go.
Install tox.
pip install toxRun tox.
toxSome dependencies (numpy, gdal & scipy) for malstroem are available
via OSGeo4W. Unfortunately pip is not always aware of packages installed with
OSGeo4W. scipy tends to a trouble maker in that regard. A work-around is to
remove the OSGeo4W-scipy and install from a different source. Christop Gohlke's
Unoffical Windows Binaries is a good place to start.
Install python 2.7
GDAL fra Gholke (husk pyversion) numpy+mkl fra Gholke scipy fra gholke
[Microsoft Visual C++ Compiler for Python 2.7](https://www.microsoft.com/en-us/download/confirmation.aspx?id=44266)
pip install gdalxxxxx.whl
sphinx-apidoc --full -a -H malstroem -A "Asger Skovbo Petersen, Septima" -v 0.0.1 -o docs malstroem cd docs make html
Written in restructuredText and compiled using sphinx.
Needs ReadTheDocs theme:
pip install sphinx_rtd_theme
Make html documentation:
cd docs make html
Make pdf documentation
cd docs make latexpdf
The binary pdflatex needs to be available in path.
On OSX: brew cask install mactex
then
export PATH=/Library/TeX/texbin:$PATH cd docs make latexpdf