# RcppCNPy 0.2.2

November 30, 2013
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(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

Right on the heels of release 0.2.1 of RcppCNPy, a new version 0.2.2 is now on CRAN. RcppCNPy uses the CNPY library by Carl Rogers to provide R with easy read and write access to NumPy files.

The reason for the new version that I had experimented with a different way to test endianness (as needed for the NumPy file headers) but accidentally sent an interim tarball to CRAN which still wanted to include endian.h promptly breaking Windows builds. So now we do something even simpler and just rely on the (even more complete) test for endianness when R is built, which prevents all sorts of complications for us and builds everywhere (with thanks to Brian Ripley for the suggestion). While we were at it, we also added a new unit test.

Full changes are listed below.

#### Changes in version 0.2.2 (2013-11-29)

• Switched to using the result from the compile-time configuration for R to determine big or little endian (as needed for the NPy headers)

• Added a new test (and test validation result file) for a complete save-reload cycle and comparison

CRANberries also provides a diffstat report for 0.2.2 relative to 0.2.1. As always, feedback is welcome and the rcpp-devel mailing list off the R-Forge page for Rcpp is the best place to start a discussion.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.