2021-12-08 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Upgrade xsimd version to 8.0.5
* Performance fix on np.dot with transposed parameters
* Raise an error when no specs are given and we want to generate a native module
* Support more complex transpose expression
* Honor quotes in config files for *FLAGS
* Add pythran option -ftime-report to print out the time spent on optimizations
* Support isinstance when second argument is a tuple
2021-09-08 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Fix performance issue with assert handling
* Fix issue in libomp detection
* Support immediate value for some keyword parameters, esp; keep_dims
parameter
* Better detection of generalized expression overlap
* And extra minor fixes :-)
2021-07-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Remove six, networkx and decorator dependency
* Bump gast and Beniget requirements to support python 3.10
* Bump xsimd to 7.5.0
* Minimal default support for non-linux, non-osx, now-windows platform
* Numpy improvements for np.bincount, np.transpose, np.searchsorted
* Restore (and test) cython compatibility
* Expose pythran.get_include for toolchain integration
* Improve error message on invalid spec
* Handle static dispatching based on keyword signature
* Raise Memory Error upon (too) large numpy alloc
* Support scalar case of scipy.special.binom
* Trim the number of warnings in pythonic codebase
2021-05-23 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Fix compatibility issue with python 3.10
2021-05-09 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Honor CXXFLAGS and LDFLAGS
* Generalize numpy.dot to higher dimenson (partial support)
* Fix important memory leak in handling of transposed matrices
* Fix several string interaction (str.split, f-string)
* Fix interaction with numpy.dtype.type
* Improve OpenMP detection
* Optimize some matrix transpose cases
2021-03-30 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Always honor $HOME for user configuration lookup (even on Windows)
* Default to clang-cl on windows
* Honor CFLAGS environment variable
* Correctly type tuples that are not bound to a variable
* Move to pocketfft for fft related operations
* Support numpy.vdot, numpy.dot between array of different dtype, improve
numpy.copyto, numpy.ndarray constructor, numpy.ihfft, numpy.hfft,
numpy.full and numpy.full_like
* Return a floating point type when computing builtins.pow, unless the
exponenent is a positive integer literal
* Optimize shared reference of array expressions (not you again!)
* Introduce a specific type for strings of one element, aka chr
* Fix implementation of str.lstrip and str.rstrip, harden str.join
* Improve quality of the error report
* Detect divide by zero in debug mode
* Improve PythranBuildExt to support base class customization
2020-11-09 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Basic f-string support
* Optimize shared reference of array expressions (again)
* np.nan{min,max}, np.around, np.wrap implementation fixes
* PYTHONOPTIMIZE={1,2} compatibility
* Support list.sort with key argument
2020-09-22 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Improve computation of contiguous slices when bounds are positive
* Optimize shared reference of array expressions
* Speedup complex combined types computation
* Fix pythran-config with cl.exe or clang-cl.exe
* Support Python 3.9
2020-08-01 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* First release only supporting Python3
* Allow to disable blas usage through blas=none setting
* Improve range value analysis
* Change numpy expression evaluator
* Change sorting algorithm from std::sort to pdqsort
* Bug fixes in various numpy.* implementation
* Freeze gast and beniget version
* Diligently use and document assert behavior
* Many fix related to static conditions
* Improve np.sort and np.median argument support
* Improve scope computation in presence of if/else
* Refuse assert with side effect
* Provide sane default for OpenMP reduction on complex
* Upgrade boost version to 1.72
* Allow %{ext} substitution in output filename
* Prettier pythran syntax error
* Faster compilation (in some cases!)
* Partial np.tofile implementation
* Allow to specify --config 'pythran.optimizations=' on the CLI
* Fix interaction between OpenMP collapse and pythran-generated loops
2019-12-31 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Last release supporting both Python2 and Python3
* Vectorized version of numpy.arange
* Support more numpy type conversion operators
* Improve translation time
* Version bump for xsimd dependency
* Fix compile without ENABLE_PYTHON_MODULE
* Various fixes for bug introduced in previous revision ^^!
2019-10-30 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Support Python up to 3.8 (included)
* clang-cl on Windows support
* PyPy3.6 support
* Fix bug involving is None and loops
* Support numpy.heaviside, numpy.cross
* Significant improvement of numpy.random.* support
* Fix memory leak when converting a dict to python
* New optimization: dead function elimination
* Support for kwonly arguments
* More pattern transformations: numpy.cbrt, numpy.sqrt and variant of abssqr
* Support dtype argument for numpy.linspace
* Improve constant folding & forward substitution
* Extend range analysis to tuples
* Basic support for scipy.special.spherical_jn and scipy.special.spherical_yn
* Support isinstance builtin
* Support the type() builtin
* New command line parameter: --config= as an alternative to .pythranrc
* Various fixes and doc upgrade I'm too lazy to list here ;-)
2019-08-19 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Warn users about deprecation of python2
* Fix incompatibility with numpy 1.17.0
* Allow pythran-openblas as a fallback dependency for openblas
* Better 32bit arch support
* Better support of OpenMP collapse clause
* Upgrade boost dep to 1.68 and xsimd dep to 7.2.2
* Use static shape information for more efficient broadcasting
* Allow / options on Windows platform in addition to Unix-style options
* Fix typing issue for r-value dict/set/list
* Allow to pass slice to pythran-exported functions
* Fix np.arange for integral numbers
* Fix static if support
* Support tuple arguments for np.concatenate
* Support default arguments for np.randint
* Support kind argument for np.sort
2019-05-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Better support for `is None` pattern
* Support numpy.byte in code and annotation
* Fix string slice assignment
* Support numpy.interp
* Improved Windows support
* Fix numpy.fft in presence of threading
* Better error message upon type mismatch
* Extended support for numpy.append
* Fix ndarray printing
* Property report error on Elippsis
* Optimize away some uses of np.array
* Properly support keyword-only arguments from Python3
* Improved fixed-size array broadcasting
* New annotation syntax for default argument through the '?' qualifier
* Stricter type checking between Python and Pythran result type
* Rely on beniget <https://github.com/serge-sans-paille/beniget> for some
analyses
* Fix dtype inference for OSX and Windows, wrt 32/64 bits
* Generate code compatible with OpenMP collapse clause
* Fix np.bincount, np.angle, np.fromiter implementation
* Improved (but still incomplete) support of slicing of an array through
an array
* Allow specification of memory layout for 2D array parameters in
annotations
* Avoid useless copies for some dict operations
* Support np.expand_dims, np.correlate, np.convolve, np.setdiff1d
* Detect and specialize code for fixed-size list
* Support more dot-idiom-to-blas forwarding
* Fix important memory leak in numpy_gexpr to_python
2019-01-29 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Fix np.transpose regression
* Upgrade xsimd to 7.1.2
* Fix setup.py test target
2019-01-18 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Honor PYTHRANRC environment variable for config file lookup
* Stricter type checking for export parameters
* Allow some kind of list to tuple conversion
* Lazy slicing of broadcasted expression and transposed expression
* Support numpy.stack, numpy.rollaxis, numpy.broadcast_to,
numpy.ndarray.dtype.type
* Better support of array of complex numbers
* Verbose mode in pythran-config to debug compiler backend issues
* Config file linting
* Evaluate numpy.arange lazily when valid
* Faster PRNG, namely pcg
* Favor Python3 support in various places
* Fix Numpy.remainder implementation
* Better support for importing user modules
* More vectorized operations support
2018-11-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Moving to xsimd as vectorization engine, requires -DUSE_XSIMD
* Better support of view conversion from Python to Pythran
* Improved Cython integration
* Improved documentation, add example section
* Updated ArchLinux Packaging
* Remove useless warnings during compilation
* Faster ``abs(x**2)`` for complex numbers
* IPython magic now accepts most optimization flags
* Automatic detection of partially (or fully) constant shape for arrays
* Add ignoreflags settings to .pythranrc to skip some compiler flags
* Quad number (aka long double) basic support
* And many minor bugfixes, as usual :-)
2018-09-16 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Decent support for ``is None`` pattern
* Bessel functions, aka scipy.special.stuff
* ``__builtin__.slice`` support
* ``np.unravel_index``, ``np.(u)intc`` support
* Cleanup and fix issues around sdist / build_ext and stuff
* O(1) View conversion to Python
* Dropped big int support
* Speed improvement for ``np.argmin``, ``np.argmax`` and square of complex
* Allow partially (or fully) constant shape for arrays
* Deterministic header inclusion (toward reproducible build?)
* Better error report on argument mismatch
* Better support for view arguments (but still lotta missing :-/)
* Better Windows support (fix compiler-specific bugs) including OpenMP
2018-06-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Much better support of fancy indexing, still not 100% support though
* Better distutils integration (extra_compile_args)
* Better support for np.unique, functor, np.Inf, np.arange, it.repeat
* Better support of user import from pythranized module (still no globals)
* Better OSX support (fix compiler-specific bugs)
* Most tests now work on Python 2 and Python 3
* Many bugfixes triggered by the bug report of Yann Diorcet, Jean Laroche
and David Menéndez Hurtado, Fabien Rozar, C. Claus
2018-04-23 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* numpy.fft support (thanks to Jean Laroche)
* Faster generalized expression
* Faster numpy.transpose, numpy.argmax, numpy reduction
* Sphinx-compatible generated docstring (thanks to Pierre Augier)
* Python output through ``-P`` (thanks to Pierre Augier)
* Many bugfixes and numpy improvements (thanks to Yann Diorecet and Jean Laroche)
2018-02-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Slimmer generated binaries
* Preliminary native Windows support for Python3
* Several numpy-related function improvements
* @ operator support
* Better negative index support and range detection
* Glimpses of OpenMP4 support, min/max support in OpenMP reductions
* Python Capsule support
* Work around GCC-7 parsing bug
2017-10-14 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Moving to networkx 2.0
* List/Tuple partial constant folding
* Minor notebook integration fixes
* Minor cython integration fixes
* Memory leak removal
* Support out field in numpy.sum
2017-09-12 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Significant compilation time improvements (again)
* Improved cython cooperation
* Many OSX and Python3 integration fixes
* Revive pure C++ mode
* Exported functions now support keyword passing style
2017-07-04 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Significant compilation time improvements
* Support for separated .pythran files
* Many bug fixes and perf improvement
2017-01-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Python 3 support
* (unsound) Type Checker
* Various bug fixes and perf improvement, as usual
2016-07-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Fix install / setup minor issues
* Restore OpenMP support
* Fix GMP installation issue
2016-06-13 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* Better Jupyter Note book integration
* Numpy Broadcasting support
* Improved value binding analysis
* Simple inlining optimization
* Type engine improvement
* Less fat in the generated modules
* More and better support for various Numpy functions
* Various performance improvement
* Global variable handling, as constants only though
2016-01-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* IPython's magic for pythran now supports extra compile flags
* Pythran's C++ output is compatible with Python3 and pythran3 can compile it!
* More syntax checks (and less template traceback)
* Improved UI (multiline pythran exports, better setup.py...)
* Pythonic leaning / bugfixing (this tends to be a permanent item)
* More generic support for numpy's dtype
* Simpler install (no more boost.python deps, nor nt2 configuration)
* Faster compilation (no more boost.python deps, smarter pass manager)
* Better testing (gcc + clang)
2015-10-13 Serge Guelton <serge.guelton@telecom-bretagne.eu>
* 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 <serge.guelton@telecom-bretagne.eu>
* 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 literals
* 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 <serge.guelton@telecom-bretagne.eu>
* 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 <serge.guelton@telecom-bretagne.eu>
* 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
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