Prototype of Cloud Kepler

Master	v1.25

Pipeline for processing Kepler lightcurves and search for signals of planets/flares.

More on the Kepler project:

• http://kepler.nasa.gov/

• http://keplergo.arc.nasa.gov/PyKE.shtml

More on Python Map-Reduce:

• http://www.michael-noll.com/tutorials/writing-an-hadoop-mapreduce-program-in-python/

More on Amazon Elastic Map-Reduce and Hadoop:

• http://aws.amazon.com/elasticmapreduce/

• http://hadoop.apache.org/

This branch includes a Cython implementation of the BLS algorithm. A few things to keep in mind:

• Cython code must be compiled for changes to take effect. To compile, just run make from the Python base directory. If you believe a build has been corrupted or want a clean start, you can do make clean and then make.
• The Cython code assumes C-contiguous arrays; assuming the ordering of an array is one way to make the code faster. So if you are going to pass an array to Cython, it should be C-contiguous or you will receive an error.
• Cython outputs a shared object (.so) file that is copied into the Python directory. Treat it just like a .py file once it is compiled. You cannot edit it directly, but you can import it and use its functions from Python like normal.