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Changelog
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2015-10-13 Serge Guelton <[email protected]>
* Significantly decrease compilation time
* Faster execution of numpy generalized slicing
* Tentative conda support
* Tentative Windows support (using Win Python)
* Preserve original docstrings
* Add __pythran__ global variable to pythran generated modules
* Faster implementation of various itertools functions
* Rely on distutils for module code compilation
* Support most of numpy.random
* Remove git and make dependency to install nt2
* Proper pip support instead of distuils
* Remove dependency to boost.python
* Remove dependency to tcmalloc
* Pythonic library cleaning (less dependencies / header / splitting / mrpropering)
* More lazy computations
* More numpy function support (including dot on matrices, linalg.norm, mean)
* Lot of code cleaning / refactoring (both in Python and C++)
* Many bugfixes, thanks to all the bug reporters!
2015-04-06 Serge Guelton <[email protected]>
* Various numpy.* function implementation improvement (incl. concatenate,
str.join, itertools.combinations)
* Better error detection during install step
* 32 bit compatibility
* Complete rewrite of the expression engine
* Improved support of numpy extended expression
* Better user feedback on invalid pythran spec
* More efficient support of string litterals
* Faster exponentiation when index is an integer
* NT2 revision bump
* No-copy list as numpy expression parameters
* Accept C and fortran layout for input arrays
* Range value analysis and boundcheck removal
* Newaxis style indexing
* Better array-of-complex support
* Glimpses of python3 support
* Support for importing user defined modules
* Archlinux support
* Accept strided array as exported function input
2014-10-22 Serge Guelton <[email protected]>
* Full SIMD support! Almost all numpy expressions are vectorized
* Better memory management at the Python/C++ layer, esp. when sharing
* Support named parameters
* Better complex numbers support
* A lot of internal code cleaning
* Better code generation for regular loops
* MacOS install guide & ArchLinux packages
* Travis run the test suite, w and w/ SIMD, w and w/ OpenMP
* Many performance improvements at the numpy expression level
* Faster array copies, including slices
* Much better constant folding
* Distutils support through a PythranExtension
* Improve implementation of many numpy functions
* Improve forward substitution
* Use most recent nt2 version
* Make dependency on libgomp optional
2014-05-17 Serge Guelton <[email protected]>
* Improved C++ compilation time (twice as fast)
* Efficient extended slicing
* Support most numpy dtype ([u]int8,..., [u]int64, float32, float64)
* Support indexing array through boolean array
* Add a nice Pythran logo :-)
* Improve validation *a lot*
* Reduce native module loading overhead
* Forward substitution implementation
* More numpy support and *many* bug fixes!
* Remove array auto vectorization/parallelization