Support for writing of
npy files has
A new option
dotranspose has been added to
npyLoad() to support data sets that do not need to be
transposed to be used in R.
A memory leak in reading files has been corrected.
Added automatic use of transpose to automagically account for Fortran-vs-C major storage defaults between Python and R.
Support for integer types in dependent on the
type which is available only when the
-std=c++0x switch is
used at build-time (and CRAN still discourages use of it)
Added support for reading gzip'ed files ending in ".npy.gz"
Added regression tests in directory
Added a vignette describing the package
Added a timing benchmark in demo/timings.R
Initial version, as a straightforward Rcpp modules wrap around
cpny library by Carl Rogers (on github under a MIT
npy files can be read and written for
vectors and matrices of either
Note however that matrices are currently transposed because
of the default Fortran ordering done by numpy.