250caa34df
Changes:
- Remove plist-sub PYPY_BITS
- Switch PYPY_VER to PYPY_CFFI_VER
Change Log:
- Highlighted features:
- Update cffi to 1.3.1.
- Update Python implementation to 2.7.10.
- New vectorisation optimisations added to the JIT. To enable add
--jit vec=1 (or --jit vec_all=1 for all vectorisation optimisations).
- Improved JIT warmup time of ~20%.
- Reduced memory consumption by ~20%.
- Numpy's ndarray and numeric dtypes are almost feature complete.
- Numpy's linalg, random and fft have been implemented as cffi modules using
the same underlying libraries as upstream.
- Bug Fixes
- Fix a bug when unrolling double loops in JITted code
- Fix multiple memory leaks in the ssl module, one of which affected CPython
as well (thanks to Alex Gaynor for pointing those out)
- Use pkg-config to find ssl headers on OS-X
- Fix a crash on non-linux when running more than 20 threads
- In cffi, ffi.new_handle() is more cpython compliant
- Accept unicode in functions inside the _curses cffi backend exactly like
cpython
- Fix a segfault in itertools.islice()
- Fix ndarray.copy() for upstream compatability when copying non-contiguous
arrays
- Fix assumption that lltype.UniChar is unsigned
- Fix a subtle bug with stacklets on shadowstack
- Improve support for the cpython capi in cpyext (our capi compatibility
layer). Fixing these issues inspired some thought about cpyext in general,
stay tuned for more improvements
- When loading dynamic libraries, in case of a certain loading error, retry
loading the library assuming it is actually a linker script, like on Arch
and Gentoo
- New features
- Internal cleanup of RPython class handling
- Support stackless and greenlets on PPC machines
- Improve debug logging in subprocesses: use PYPYLOG=jit:log.%d for example
to have all subprocesses write the JIT log to a file called ?log.%d?, with
?%d? replaced with the subprocess? PID.
- Support PyOS_double_to_string in our cpyext capi compatibility layer
- Add an optimization pass to vectorize loops using x86 SIMD intrinsics.
- Support __stdcall on Windows in CFFI
- Improve debug logging when using PYPYLOG=???
- Deal with platforms with no RAND_egd() in OpenSSL
- Numpy
- Improve support for __array_interface__
- Propagate most NAN mantissas through float16-float32-float64 conversions
- Add support for ndarray.ctypes
- Fast path for mixing numpy scalars and floats
- Add support for creating Fortran-ordered ndarrays
- Fix casting failures in linalg (by extending ufunc casting)
- Recognize and disallow (for now) pickling of ndarrays with objects embedded
in them
- Performance improvements and refactorings
- Improvements in slicing byte arrays
- Improvements in enumerate()
- Silence some warnings while translating
- Reuse hashed keys across dictionaries and sets
- Refactor JIT interals to improve warmup time by 20% or so at the cost of a
minor regression in JIT speed
- Recognize patterns of common sequences in the JIT backends and optimize them
- Make the garbage collecter more incremental over external_malloc() calls
- Share guard resume data where possible which reduces memory usage
- Fast path for zip(list, list)
- Reduce the number of checks in the JIT for lst[a:]
- Move the non-optimizable part of callbacks outside the JIT
- Factor in field immutability when invalidating heap information
- Unroll itertools.izip_longest() with two sequences
- Minor optimizations after analyzing output from vmprof and trace logs
- Remove many class attributes in rpython classes
- Handle getfield_gc_pure* and getfield_gc_* uniformly in heap.py
- Improve simple trace function performance by lazily calling fast2locals and
locals2fast only if truly necessary
Submitted by: robak@
PR: 204743 (with modification)
10 lines
214 B
Makefile
10 lines
214 B
Makefile
# $FreeBSD$
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LICENSE= MIT PSFL
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LICENSE_COMB= multi
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USES+= compiler:c11
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PYPY_DIR= pypy-${PORTVERSION:C|([0-9])\.([0-9]).*|\1.\2|}
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PYPY_CFFI_VER= 26
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PLIST_SUB+= PYPY_DIR=${PYPY_DIR} PYPY_CFFI_VER=${PYPY_CFFI_VER}
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