Author: fijal
Branch:
Changeset: r80265:f377aa5469e9
Date: 2015-10-16 11:38 +0200
http://bitbucket.org/pypy/pypy/changeset/f377aa5469e9/
Log: merge
diff too long, truncating to 2000 out of 15271 lines
diff --git a/.gitignore b/.gitignore
--- a/.gitignore
+++ b/.gitignore
@@ -1,9 +1,14 @@
.hg
.svn
+# VIM
+*.swp
+*.swo
+
*.pyc
*.pyo
*~
+__pycache__/
bin/pypy-c
include/*.h
@@ -22,4 +27,6 @@
pypy/translator/goal/pypy-c
pypy/translator/goal/target*-c
release/
+!pypy/tool/release/
rpython/_cache/
+__pycache__/
diff --git a/lib_pypy/cffi/ffiplatform.py b/lib_pypy/cffi/ffiplatform.py
--- a/lib_pypy/cffi/ffiplatform.py
+++ b/lib_pypy/cffi/ffiplatform.py
@@ -14,17 +14,7 @@
LIST_OF_FILE_NAMES = ['sources', 'include_dirs', 'library_dirs',
'extra_objects', 'depends']
-def _hack_at_distutils():
- # Windows-only workaround for some configurations: see
- # https://bugs.python.org/issue23246 (Python 2.7.9)
- if sys.platform == "win32":
- try:
- import setuptools # for side-effects, patches distutils
- except ImportError:
- pass
-
def get_extension(srcfilename, modname, sources=(), **kwds):
- _hack_at_distutils() # *before* the following import
from distutils.core import Extension
allsources = [srcfilename]
allsources.extend(sources)
@@ -47,7 +37,6 @@
def _build(tmpdir, ext):
# XXX compact but horrible :-(
- _hack_at_distutils()
from distutils.core import Distribution
import distutils.errors
#
diff --git a/lib_pypy/cffi/verifier.py b/lib_pypy/cffi/verifier.py
--- a/lib_pypy/cffi/verifier.py
+++ b/lib_pypy/cffi/verifier.py
@@ -22,6 +22,16 @@
s = s.encode('ascii')
super(NativeIO, self).write(s)
+def _hack_at_distutils():
+ # Windows-only workaround for some configurations: see
+ # https://bugs.python.org/issue23246 (Python 2.7 with
+ # a specific MS compiler suite download)
+ if sys.platform == "win32":
+ try:
+ import setuptools # for side-effects, patches distutils
+ except ImportError:
+ pass
+
class Verifier(object):
@@ -112,6 +122,7 @@
return basename
def get_extension(self):
+ _hack_at_distutils() # backward compatibility hack
if not self._has_source:
with self.ffi._lock:
if not self._has_source:
diff --git a/pypy/doc/index-of-release-notes.rst
b/pypy/doc/index-of-release-notes.rst
--- a/pypy/doc/index-of-release-notes.rst
+++ b/pypy/doc/index-of-release-notes.rst
@@ -6,6 +6,7 @@
.. toctree::
+ release-15.11.0.rst
release-2.6.1.rst
release-2.6.0.rst
release-2.5.1.rst
diff --git a/pypy/doc/index-of-whatsnew.rst b/pypy/doc/index-of-whatsnew.rst
--- a/pypy/doc/index-of-whatsnew.rst
+++ b/pypy/doc/index-of-whatsnew.rst
@@ -7,6 +7,7 @@
.. toctree::
whatsnew-head.rst
+ whatsnew-15.11.0.rst
whatsnew-2.6.1.rst
whatsnew-2.6.0.rst
whatsnew-2.5.1.rst
diff --git a/pypy/doc/release-15.11.0.rst b/pypy/doc/release-15.11.0.rst
new file mode 100644
--- /dev/null
+++ b/pypy/doc/release-15.11.0.rst
@@ -0,0 +1,191 @@
+============
+PyPy 15.11.0
+============
+
+We're pleased and proud to unleash PyPy 15.11, a major update of the PyPy
+python2.7.10 compatible interpreter with a Just In Time compiler.
+We have improved `warmup time and memory overhead used for tracing`_, added
+`vectorization`_ for numpy and general loops where possible on x86 hardware,
+refactored rough edges in rpython, and increased functionality of numpy.
+
+You can download the PyPy 15.11 release here:
+
+ http://pypy.org/download.html
+
+We would like to thank our donors for the continued support of the PyPy
+project.
+
+We would also like to thank our contributors (7 new ones since PyPy 2.6.0) and
+encourage new people to join the project. PyPy has many
+layers and we need help with all of them: `PyPy`_ and `RPython`_ documentation
+improvements, tweaking popular `modules`_ to run on pypy, or general `help`_
+with making RPython's JIT even better.
+
+
+Vectorization
+=============
+
+Richard Plangger began work in March and continued over a Google Summer of Code
+to add a vectorization step to the trace optimizer. The step recognizes common
+constructs and emits SIMD code where possible, much as any modern compiler
does.
+This vectorization happens while tracing running code, so it is actually
easier
+at run-time to determine the
+availability of possible vectorization than it is for ahead-of-time compilers.
+
+Availability of SIMD hardware is detected at run time, without needing to
+precompile various code paths into the executable.
+
+Internal Refactoring and Warmup Time Improvement
+================================================
+
+Maciej Fijalkowski and Armin Rigo refactored internals of rpython that now
allow
+PyPy to more efficiently use `guards`_ in jitted code. They also rewrote
unrolling,
+leading to a warmup time improvement of 20% or so at the cost of a minor
+regression in jitted code speed.
+
+Numpy
+=====
+
+Our implementation of numpy continues to improve. ndarray and the numeric
dtypes
+are very close to feature-complete; record, string and unicode dtypes are
mostly
+supported. We have reimplemented numpy linalg, random and fft as cffi-1.0
+modules that call out to the same underlying libraries that upstream numpy
uses.
+Please try it out, especially using the new vectorization (via --jit vec=1 on
the
+command line) and let us know what is missing for your code.
+
+CFFI
+====
+
+While not applicable only to PyPy, `cffi`_ is arguably our most significant
+contribution to the python ecosystem. Armin Rigo continued improving it,
+and PyPy reaps the benefits of cffi-1.3: improved manangement of object
+lifetimes, __stdcall on Win32, ffi.memmove(), ...
+
+.. _`warmup time and memory overhead used for tracing`:
http://morepypy.blogspot.com/2015/10
+.. _`vectorization`: http://pypyvecopt.blogspot.co.at/
+.. _`guards`: http://rpython.readthedocs.org/en/latest/glossary.html
+
+.. _`PyPy`: http://doc.pypy.org
+.. _`RPython`: https://rpython.readthedocs.org
+.. _`cffi`: https://cffi.readthedocs.org
+.. _`modules`:
http://doc.pypy.org/en/latest/project-ideas.html#make-more-python-modules-pypy-friendly
+.. _`help`: http://doc.pypy.org/en/latest/project-ideas.html
+
+What is PyPy?
+=============
+
+PyPy is a very compliant Python interpreter, almost a drop-in replacement for
+CPython 2.7. It's fast (`pypy and cpython 2.7.x`_ performance comparison)
+due to its integrated tracing JIT compiler.
+
+This release supports **x86** machines on most common operating systems
+(Linux 32/64, Mac OS X 64, Windows 32, OpenBSD_, freebsd_),
+as well as newer **ARM** hardware (ARMv6 or ARMv7, with VFPv3) running Linux.
+
+We also welcome developers of other
+`dynamic languages`_ to see what RPython can do for them.
+
+.. _`pypy and cpython 2.7.x`: http://speed.pypy.org
+.. _OpenBSD: http://cvsweb.openbsd.org/cgi-bin/cvsweb/ports/lang/pypy
+.. _freebsd: https://svnweb.freebsd.org/ports/head/lang/pypy/
+.. _`dynamic languages`: http://pypyjs.org
+
+Highlights (since 2.6.1 release two months ago)
+===============================================
+
+* Bug Fixes
+
+ * Applied OPENBSD downstream fixes
+
+ * 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()
+
+ * Use gcrootfinder=shadowstack by default, asmgcc on linux only
+
+ * 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
+
+ * Issues reported with our previous release were resolved_ after reports
from users on
+ our issue tracker at https://bitbucket.org/pypy/pypy/issues or on IRC at
+ #pypy
+
+* New features:
+
+ * 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
+
+ * Enable building _vmprof in translation on OS/X by default
+
+* Numpy:
+
+ * 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:
+
+ * 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 intcremental 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
+
+.. _`vmprof`: https://vmprof.readthedocs.org
+.. _resolved: http://doc.pypy.org/en/latest/whatsnew-15.11.0.html
+
+Please try it out and let us know what you think. We welcome feedback,
+we know you are using PyPy, please tell us about it!
+
+Cheers
+
+The PyPy Team
+
diff --git a/pypy/doc/whatsnew-15.11.0.rst b/pypy/doc/whatsnew-15.11.0.rst
new file mode 100644
--- /dev/null
+++ b/pypy/doc/whatsnew-15.11.0.rst
@@ -0,0 +1,87 @@
+========================
+What's new in PyPy 15.11
+========================
+
+.. this is a revision shortly after release-2.6.1
+.. startrev: 07769be4057b
+
+.. branch: keys_with_hash
+Improve the performance of dict.update() and a bunch of methods from
+sets, by reusing the hash value stored in one dict when inspecting
+or changing another dict with that key.
+
+.. branch: optresult-unroll
+A major refactoring of the ResOperations that kills Box. Also rewrote
+unrolling to enable future enhancements. Should improve warmup time
+by 20% or so.
+
+.. branch: optimize-cond-call
+Optimize common sequences of operations like
+``int_lt/cond_call`` in the JIT backends
+
+.. branch: missing_openssl_include
+Fix for missing headers in OpenBSD, already applied in downstream ports
+
+.. branch: gc-more-incremental
+Remove a source of non-incremental-ness in the GC: now
+external_malloc() no longer runs gc_step_until() any more. If there
+is a currently-running major collection, we do only so many steps
+before returning. This number of steps depends on the size of the
+allocated object. It is controlled by tracking the general progress
+of these major collection steps and the size of old objects that
+keep adding up between them.
+
+.. branch: remember-tracing-counts
+Reenable jithooks
+
+.. branch: detect_egd2
+
+.. branch: shadowstack-no-move-2
+Issue #2141: fix a crash on Windows and OS/X and ARM when running
+at least 20 threads.
+
+.. branch: numpy-ctypes
+
+Add support for ndarray.ctypes property.
+
+.. branch: share-guard-info
+
+Share guard resume data between consecutive guards that have only
+pure operations and guards in between.
+
+.. branch: issue-2148
+
+Fix performance regression on operations mixing numpy scalars and Python
+floats, cf. issue #2148.
+
+.. branch: cffi-stdcall
+Win32: support '__stdcall' in CFFI.
+
+.. branch: callfamily
+
+Refactorings of annotation and rtyping of function calls.
+
+.. branch: fortran-order
+
+Allow creation of fortran-ordered ndarrays
+
+.. branch: type_system-cleanup
+
+Remove some remnants of the old ootypesystem vs lltypesystem dichotomy.
+
+.. branch: cffi-handle-lifetime
+
+ffi.new_handle() returns handles that work more like CPython's: they
+remain valid as long as the target exists (unlike the previous
+version, where handles become invalid *before* the __del__ is called).
+
+.. branch: ufunc-casting
+
+allow automatic casting in ufuncs (and frompypyfunc) to cast the
+arguments to the allowed function type declarations, fixes various
+failures in linalg cffi functions
+
+.. branch: vecopt
+.. branch: vecopt-merge
+
+A new optimization pass to use emit vectorized loops
diff --git a/pypy/doc/whatsnew-head.rst b/pypy/doc/whatsnew-head.rst
--- a/pypy/doc/whatsnew-head.rst
+++ b/pypy/doc/whatsnew-head.rst
@@ -1,82 +1,8 @@
-=======================
-What's new in PyPy 2.6+
-=======================
+=========================
+What's new in PyPy 15.11+
+=========================
-.. this is a revision shortly after release-2.6.1
-.. startrev: 07769be4057b
+.. this is a revision shortly after release-15.11.0
+.. startrev: d924723d483b
-.. branch: keys_with_hash
-Improve the performance of dict.update() and a bunch of methods from
-sets, by reusing the hash value stored in one dict when inspecting
-or changing another dict with that key.
-.. branch: optresult-unroll
-A major refactoring of the ResOperations that kills Box. Also rewrote
-unrolling to enable future enhancements. Should improve warmup time
-by 20% or so.
-
-.. branch: optimize-cond-call
-Optimize common sequences of operations like
-``int_lt/cond_call`` in the JIT backends
-
-.. branch: missing_openssl_include
-Fix for missing headers in OpenBSD, already applied in downstream ports
-
-.. branch: gc-more-incremental
-Remove a source of non-incremental-ness in the GC: now
-external_malloc() no longer runs gc_step_until() any more. If there
-is a currently-running major collection, we do only so many steps
-before returning. This number of steps depends on the size of the
-allocated object. It is controlled by tracking the general progress
-of these major collection steps and the size of old objects that
-keep adding up between them.
-
-.. branch: remember-tracing-counts
-Reenable jithooks
-
-.. branch: detect_egd2
-
-.. branch: shadowstack-no-move-2
-Issue #2141: fix a crash on Windows and OS/X and ARM when running
-at least 20 threads.
-
-.. branch: numpy-ctypes
-
-Add support for ndarray.ctypes property.
-
-.. branch: share-guard-info
-
-Share guard resume data between consecutive guards that have only
-pure operations and guards in between.
-
-.. branch: issue-2148
-
-Fix performance regression on operations mixing numpy scalars and Python
-floats, cf. issue #2148.
-
-.. branch: cffi-stdcall
-Win32: support '__stdcall' in CFFI.
-
-.. branch: callfamily
-
-Refactorings of annotation and rtyping of function calls.
-
-.. branch: fortran-order
-
-Allow creation of fortran-ordered ndarrays
-
-.. branch: type_system-cleanup
-
-Remove some remnants of the old ootypesystem vs lltypesystem dichotomy.
-
-.. branch: cffi-handle-lifetime
-
-ffi.new_handle() returns handles that work more like CPython's: they
-remain valid as long as the target exists (unlike the previous
-version, where handles become invalid *before* the __del__ is called).
-
-.. branch: ufunc-casting
-
-allow automatic casting in ufuncs (and frompypyfunc) to cast the
-arguments to the allowed function type declarations, fixes various
-failures in linalg cffi functions
diff --git a/pypy/module/cpyext/__init__.py b/pypy/module/cpyext/__init__.py
--- a/pypy/module/cpyext/__init__.py
+++ b/pypy/module/cpyext/__init__.py
@@ -66,6 +66,7 @@
import pypy.module.cpyext.codecs
import pypy.module.cpyext.pyfile
import pypy.module.cpyext.pystrtod
+import pypy.module.cpyext.pytraceback
# now that all rffi_platform.Struct types are registered, configure them
api.configure_types()
diff --git a/pypy/module/cpyext/include/Python.h
b/pypy/module/cpyext/include/Python.h
--- a/pypy/module/cpyext/include/Python.h
+++ b/pypy/module/cpyext/include/Python.h
@@ -126,6 +126,7 @@
#include "fileobject.h"
#include "pysignals.h"
#include "pythread.h"
+#include "traceback.h"
/* Missing definitions */
#include "missing.h"
diff --git a/pypy/module/cpyext/include/frameobject.h
b/pypy/module/cpyext/include/frameobject.h
--- a/pypy/module/cpyext/include/frameobject.h
+++ b/pypy/module/cpyext/include/frameobject.h
@@ -4,7 +4,7 @@
extern "C" {
#endif
-typedef struct {
+typedef struct _frame {
PyObject_HEAD
PyCodeObject *f_code;
PyObject *f_globals;
diff --git a/pypy/module/cpyext/include/traceback.h
b/pypy/module/cpyext/include/traceback.h
--- a/pypy/module/cpyext/include/traceback.h
+++ b/pypy/module/cpyext/include/traceback.h
@@ -4,7 +4,15 @@
extern "C" {
#endif
-typedef PyObject PyTracebackObject;
+struct _frame;
+
+typedef struct _traceback {
+ PyObject_HEAD
+ struct _traceback *tb_next;
+ struct _frame *tb_frame;
+ int tb_lasti;
+ int tb_lineno;
+} PyTracebackObject;
#ifdef __cplusplus
}
diff --git a/pypy/module/cpyext/pytraceback.py
b/pypy/module/cpyext/pytraceback.py
new file mode 100644
--- /dev/null
+++ b/pypy/module/cpyext/pytraceback.py
@@ -0,0 +1,50 @@
+from rpython.rtyper.lltypesystem import rffi, lltype
+from pypy.module.cpyext.api import (
+ PyObjectFields, generic_cpy_call, CONST_STRING, CANNOT_FAIL, Py_ssize_t,
+ cpython_api, bootstrap_function, cpython_struct, build_type_checkers)
+from pypy.module.cpyext.pyobject import (
+ PyObject, make_ref, from_ref, Py_DecRef, make_typedescr, borrow_from)
+from pypy.module.cpyext.frameobject import PyFrameObject
+from rpython.rlib.unroll import unrolling_iterable
+from pypy.interpreter.error import OperationError
+from pypy.interpreter.pytraceback import PyTraceback
+from pypy.interpreter import pycode
+
+
+PyTracebackObjectStruct = lltype.ForwardReference()
+PyTracebackObject = lltype.Ptr(PyTracebackObjectStruct)
+PyTracebackObjectFields = PyObjectFields + (
+ ("tb_next", PyTracebackObject),
+ ("tb_frame", PyFrameObject),
+ ("tb_lasti", rffi.INT),
+ ("tb_lineno", rffi.INT),
+)
+cpython_struct("PyTracebackObject", PyTracebackObjectFields,
PyTracebackObjectStruct)
+
+@bootstrap_function
+def init_traceback(space):
+ make_typedescr(PyTraceback.typedef,
+ basestruct=PyTracebackObject.TO,
+ attach=traceback_attach,
+ dealloc=traceback_dealloc)
+
+
+def traceback_attach(space, py_obj, w_obj):
+ py_traceback = rffi.cast(PyTracebackObject, py_obj)
+ traceback = space.interp_w(PyTraceback, w_obj)
+ if traceback.next is None:
+ w_next_traceback = None
+ else:
+ w_next_traceback = space.wrap(traceback.next)
+ py_traceback.c_tb_next = rffi.cast(PyTracebackObject, make_ref(space,
w_next_traceback))
+ py_traceback.c_tb_frame = rffi.cast(PyFrameObject, make_ref(space,
space.wrap(traceback.frame)))
+ rffi.setintfield(py_traceback, 'c_tb_lasti', traceback.lasti)
+ rffi.setintfield(py_traceback, 'c_tb_lineno',traceback.get_lineno())
+
+@cpython_api([PyObject], lltype.Void, external=False)
+def traceback_dealloc(space, py_obj):
+ py_traceback = rffi.cast(PyTracebackObject, py_obj)
+ Py_DecRef(space, rffi.cast(PyObject, py_traceback.c_tb_next))
+ Py_DecRef(space, rffi.cast(PyObject, py_traceback.c_tb_frame))
+ from pypy.module.cpyext.object import PyObject_dealloc
+ PyObject_dealloc(space, py_obj)
diff --git a/pypy/module/cpyext/slotdefs.py b/pypy/module/cpyext/slotdefs.py
--- a/pypy/module/cpyext/slotdefs.py
+++ b/pypy/module/cpyext/slotdefs.py
@@ -61,6 +61,30 @@
args_w = space.fixedview(w_args)
return generic_cpy_call(space, func_binary, w_self, args_w[0])
+def wrap_binaryfunc_l(space, w_self, w_args, func):
+ func_binary = rffi.cast(binaryfunc, func)
+ check_num_args(space, w_args, 1)
+ args_w = space.fixedview(w_args)
+
+ if not space.is_true(space.issubtype(space.type(args_w[0]),
+ space.type(w_self))):
+ raise OperationError(space.w_NotImplementedError, space.wrap(
+ "NotImplemented"))
+
+ return generic_cpy_call(space, func_binary, w_self, args_w[0])
+
+def wrap_binaryfunc_r(space, w_self, w_args, func):
+ func_binary = rffi.cast(binaryfunc, func)
+ check_num_args(space, w_args, 1)
+ args_w = space.fixedview(w_args)
+
+ if not space.is_true(space.issubtype(space.type(args_w[0]),
+ space.type(w_self))):
+ raise OperationError(space.w_NotImplementedError, space.wrap(
+ "NotImplemented"))
+
+ return generic_cpy_call(space, func_binary, args_w[0], w_self)
+
def wrap_inquirypred(space, w_self, w_args, func):
func_inquiry = rffi.cast(inquiry, func)
check_num_args(space, w_args, 0)
diff --git a/pypy/module/cpyext/test/test_traceback.py
b/pypy/module/cpyext/test/test_traceback.py
new file mode 100644
--- /dev/null
+++ b/pypy/module/cpyext/test/test_traceback.py
@@ -0,0 +1,40 @@
+from rpython.rtyper.lltypesystem import lltype, rffi
+from pypy.module.cpyext.test.test_api import BaseApiTest
+from pypy.module.cpyext.pyobject import PyObject, make_ref, from_ref
+from pypy.module.cpyext.pytraceback import PyTracebackObject
+from pypy.interpreter.pytraceback import PyTraceback
+from pypy.interpreter.pyframe import PyFrame
+
+class TestPyTracebackObject(BaseApiTest):
+ def test_traceback(self, space, api):
+ w_traceback = space.appexec([], """():
+ import sys
+ try:
+ 1/0
+ except:
+ return sys.exc_info()[2]
+ """)
+ py_obj = make_ref(space, w_traceback)
+ py_traceback = rffi.cast(PyTracebackObject, py_obj)
+ assert (from_ref(space, rffi.cast(PyObject, py_traceback.c_ob_type)) is
+ space.gettypeobject(PyTraceback.typedef))
+
+ traceback = space.interp_w(PyTraceback, w_traceback)
+ assert traceback.lasti == py_traceback.c_tb_lasti
+ assert traceback.get_lineno() == py_traceback.c_tb_lineno
+ assert space.eq_w(space.getattr(w_traceback, space.wrap("tb_lasti")),
+ space.wrap(py_traceback.c_tb_lasti))
+ assert space.is_w(space.getattr(w_traceback, space.wrap("tb_frame")),
+ from_ref(space, rffi.cast(PyObject,
+ py_traceback.c_tb_frame)))
+
+ while not space.is_w(w_traceback, space.w_None):
+ assert space.is_w(
+ w_traceback,
+ from_ref(space, rffi.cast(PyObject, py_traceback)))
+ w_traceback = space.getattr(w_traceback, space.wrap("tb_next"))
+ py_traceback = py_traceback.c_tb_next
+
+ assert lltype.normalizeptr(py_traceback) is None
+
+ api.Py_DecRef(py_obj)
diff --git a/pypy/module/cpyext/test/test_typeobject.py
b/pypy/module/cpyext/test/test_typeobject.py
--- a/pypy/module/cpyext/test/test_typeobject.py
+++ b/pypy/module/cpyext/test/test_typeobject.py
@@ -589,6 +589,48 @@
assert bool(module.newInt(-1))
raises(ValueError, bool, module.newInt(-42))
+ def test_binaryfunc(self):
+ module = self.import_extension('foo', [
+ ("new_obj", "METH_NOARGS",
+ """
+ FooObject *fooObj;
+
+ Foo_Type.tp_as_number = &foo_as_number;
+ foo_as_number.nb_add = foo_nb_add_call;
+ if (PyType_Ready(&Foo_Type) < 0) return NULL;
+ fooObj = PyObject_New(FooObject, &Foo_Type);
+ if (!fooObj) {
+ return NULL;
+ }
+
+ return (PyObject *)fooObj;
+ """)],
+ """
+ typedef struct
+ {
+ PyObject_HEAD
+ } FooObject;
+
+ static PyObject *
+ foo_nb_add_call(PyObject *self, PyObject *other)
+ {
+ return PyInt_FromLong(42);
+ }
+
+ PyTypeObject Foo_Type = {
+ PyObject_HEAD_INIT(0)
+ /*ob_size*/ 0,
+ /*tp_name*/ "Foo",
+ /*tp_basicsize*/ sizeof(FooObject),
+ };
+ static PyNumberMethods foo_as_number;
+ """)
+ a = module.new_obj()
+ b = module.new_obj()
+ c = 3
+ assert (a + b) == 42
+ raises(NotImplementedError, "b + c")
+
def test_tp_new_in_subclass_of_type(self):
skip("BROKEN")
module = self.import_module(name='foo3')
diff --git a/pypy/module/micronumpy/compile.py
b/pypy/module/micronumpy/compile.py
--- a/pypy/module/micronumpy/compile.py
+++ b/pypy/module/micronumpy/compile.py
@@ -2,6 +2,7 @@
It should not be imported by the module itself
"""
import re
+import py
from pypy.interpreter import special
from pypy.interpreter.baseobjspace import InternalSpaceCache, W_Root, ObjSpace
from pypy.interpreter.error import OperationError
@@ -12,6 +13,10 @@
from pypy.module.micronumpy.ndarray import W_NDimArray
from pypy.module.micronumpy.ctors import array
from pypy.module.micronumpy.descriptor import get_dtype_cache
+from pypy.interpreter.miscutils import ThreadLocals, make_weak_value_dictionary
+from pypy.interpreter.executioncontext import (ExecutionContext, ActionFlag,
+ UserDelAction)
+from pypy.interpreter.pyframe import PyFrame
class BogusBytecode(Exception):
@@ -32,12 +37,11 @@
class BadToken(Exception):
pass
-
SINGLE_ARG_FUNCTIONS = ["sum", "prod", "max", "min", "all", "any",
"unegative", "flat", "tostring", "count_nonzero",
"argsort", "cumsum", "logical_xor_reduce"]
-TWO_ARG_FUNCTIONS = ["dot", 'take', 'searchsorted']
-TWO_ARG_FUNCTIONS_OR_NONE = ['view', 'astype']
+TWO_ARG_FUNCTIONS = ["dot", 'take', 'searchsorted', 'multiply']
+TWO_ARG_FUNCTIONS_OR_NONE = ['view', 'astype', 'reshape']
THREE_ARG_FUNCTIONS = ['where']
class W_TypeObject(W_Root):
@@ -57,6 +61,10 @@
w_OverflowError = W_TypeObject("OverflowError")
w_NotImplementedError = W_TypeObject("NotImplementedError")
w_AttributeError = W_TypeObject("AttributeError")
+ w_StopIteration = W_TypeObject("StopIteration")
+ w_KeyError = W_TypeObject("KeyError")
+ w_SystemExit = W_TypeObject("SystemExit")
+ w_KeyboardInterrupt = W_TypeObject("KeyboardInterrupt")
w_None = None
w_bool = W_TypeObject("bool")
@@ -72,13 +80,26 @@
w_dict = W_TypeObject("dict")
w_object = W_TypeObject("object")
w_buffer = W_TypeObject("buffer")
+ w_type = W_TypeObject("type")
- def __init__(self):
+ def __init__(self, config=None):
"""NOT_RPYTHON"""
self.fromcache = InternalSpaceCache(self).getorbuild
self.w_Ellipsis = special.Ellipsis()
self.w_NotImplemented = special.NotImplemented()
+ if config is None:
+ from pypy.config.pypyoption import get_pypy_config
+ config = get_pypy_config(translating=False)
+ self.config = config
+
+ self.interned_strings = make_weak_value_dictionary(self, str, W_Root)
+ self.builtin = DictObject({})
+ self.FrameClass = PyFrame
+ self.threadlocals = ThreadLocals()
+ self.actionflag = ActionFlag() # changed by the signal module
+ self.check_signal_action = None # changed by the signal module
+
def _freeze_(self):
return True
@@ -89,12 +110,17 @@
return isinstance(w_obj, ListObject) or isinstance(w_obj, W_NDimArray)
def len(self, w_obj):
- assert isinstance(w_obj, ListObject)
- return self.wrap(len(w_obj.items))
+ if isinstance(w_obj, ListObject):
+ return self.wrap(len(w_obj.items))
+ elif isinstance(w_obj, DictObject):
+ return self.wrap(len(w_obj.items))
+ raise NotImplementedError
def getattr(self, w_obj, w_attr):
assert isinstance(w_attr, StringObject)
- return w_obj.getdictvalue(self, w_attr.v)
+ if isinstance(w_obj, DictObject):
+ return w_obj.getdictvalue(self, w_attr)
+ return None
def isinstance_w(self, w_obj, w_tp):
try:
@@ -102,6 +128,22 @@
except AttributeError:
return False
+ def iter(self, w_iter):
+ if isinstance(w_iter, ListObject):
+ raise NotImplementedError
+ #return IterObject(space, w_iter.items)
+ elif isinstance(w_iter, DictObject):
+ return IterDictObject(self, w_iter)
+
+ def next(self, w_iter):
+ return w_iter.next()
+
+ def contains(self, w_iter, w_key):
+ if isinstance(w_iter, DictObject):
+ return self.wrap(w_key in w_iter.items)
+
+ raise NotImplementedError
+
def decode_index4(self, w_idx, size):
if isinstance(w_idx, IntObject):
return (self.int_w(w_idx), 0, 0, 1)
@@ -123,6 +165,10 @@
lgt = (stop - start - 1) / step + 1
return (start, stop, step, lgt)
+ def unicode_from_object(self, w_item):
+ # XXX
+ return StringObject("")
+
@specialize.argtype(1)
def wrap(self, obj):
if isinstance(obj, float):
@@ -145,7 +191,55 @@
def newcomplex(self, r, i):
return ComplexObject(r, i)
+ def newfloat(self, f):
+ return self.float(f)
+
+ def le(self, w_obj1, w_obj2):
+ assert isinstance(w_obj1, boxes.W_GenericBox)
+ assert isinstance(w_obj2, boxes.W_GenericBox)
+ return w_obj1.descr_le(self, w_obj2)
+
+ def lt(self, w_obj1, w_obj2):
+ assert isinstance(w_obj1, boxes.W_GenericBox)
+ assert isinstance(w_obj2, boxes.W_GenericBox)
+ return w_obj1.descr_lt(self, w_obj2)
+
+ def ge(self, w_obj1, w_obj2):
+ assert isinstance(w_obj1, boxes.W_GenericBox)
+ assert isinstance(w_obj2, boxes.W_GenericBox)
+ return w_obj1.descr_ge(self, w_obj2)
+
+ def add(self, w_obj1, w_obj2):
+ assert isinstance(w_obj1, boxes.W_GenericBox)
+ assert isinstance(w_obj2, boxes.W_GenericBox)
+ return w_obj1.descr_add(self, w_obj2)
+
+ def sub(self, w_obj1, w_obj2):
+ return self.wrap(1)
+
+ def mul(self, w_obj1, w_obj2):
+ assert isinstance(w_obj1, boxes.W_GenericBox)
+ assert isinstance(w_obj2, boxes.W_GenericBox)
+ return w_obj1.descr_mul(self, w_obj2)
+
+ def pow(self, w_obj1, w_obj2, _):
+ return self.wrap(1)
+
+ def neg(self, w_obj1):
+ return self.wrap(0)
+
+ def repr(self, w_obj1):
+ return self.wrap('fake')
+
def getitem(self, obj, index):
+ if isinstance(obj, DictObject):
+ w_dict = obj.getdict(self)
+ if w_dict is not None:
+ try:
+ return w_dict[index]
+ except KeyError, e:
+ raise OperationError(self.w_KeyError, self.wrap("key
error"))
+
assert isinstance(obj, ListObject)
assert isinstance(index, IntObject)
return obj.items[index.intval]
@@ -191,12 +285,24 @@
return w_obj.v
raise NotImplementedError
+ def unicode_w(self, w_obj):
+ # XXX
+ if isinstance(w_obj, StringObject):
+ return unicode(w_obj.v)
+ raise NotImplementedError
+
def int(self, w_obj):
if isinstance(w_obj, IntObject):
return w_obj
assert isinstance(w_obj, boxes.W_GenericBox)
return self.int(w_obj.descr_int(self))
+ def long(self, w_obj):
+ if isinstance(w_obj, LongObject):
+ return w_obj
+ assert isinstance(w_obj, boxes.W_GenericBox)
+ return self.int(w_obj.descr_long(self))
+
def str(self, w_obj):
if isinstance(w_obj, StringObject):
return w_obj
@@ -240,9 +346,29 @@
def gettypefor(self, w_obj):
return W_TypeObject(w_obj.typedef.name)
- def call_function(self, tp, w_dtype):
+ def call_function(self, tp, w_dtype, *args):
+ if tp is self.w_float:
+ if isinstance(w_dtype, boxes.W_Float64Box):
+ return FloatObject(float(w_dtype.value))
+ if isinstance(w_dtype, boxes.W_Float32Box):
+ return FloatObject(float(w_dtype.value))
+ if isinstance(w_dtype, boxes.W_Int64Box):
+ return FloatObject(float(int(w_dtype.value)))
+ if isinstance(w_dtype, boxes.W_Int32Box):
+ return FloatObject(float(int(w_dtype.value)))
+ if isinstance(w_dtype, boxes.W_Int16Box):
+ return FloatObject(float(int(w_dtype.value)))
+ if isinstance(w_dtype, boxes.W_Int8Box):
+ return FloatObject(float(int(w_dtype.value)))
+ if isinstance(w_dtype, IntObject):
+ return FloatObject(float(w_dtype.intval))
+ if tp is self.w_int:
+ if isinstance(w_dtype, FloatObject):
+ return IntObject(int(w_dtype.floatval))
+
return w_dtype
+ @specialize.arg(2)
def call_method(self, w_obj, s, *args):
# XXX even the hacks have hacks
return getattr(w_obj, 'descr_' + s)(self, *args)
@@ -258,21 +384,21 @@
def newtuple(self, list_w):
return ListObject(list_w)
- def newdict(self):
- return {}
+ def newdict(self, module=True):
+ return DictObject({})
- def setitem(self, dict, item, value):
- dict[item] = value
+ def newint(self, i):
+ if isinstance(i, IntObject):
+ return i
+ return IntObject(i)
- def len_w(self, w_obj):
- if isinstance(w_obj, ListObject):
- return len(w_obj.items)
- # XXX array probably
- assert False
+ def setitem(self, obj, index, value):
+ obj.items[index] = value
def exception_match(self, w_exc_type, w_check_class):
- # Good enough for now
- raise NotImplementedError
+ assert isinstance(w_exc_type, W_TypeObject)
+ assert isinstance(w_check_class, W_TypeObject)
+ return w_exc_type.name == w_check_class.name
class FloatObject(W_Root):
tp = FakeSpace.w_float
@@ -283,6 +409,9 @@
tp = FakeSpace.w_bool
def __init__(self, boolval):
self.intval = boolval
+FakeSpace.w_True = BoolObject(True)
+FakeSpace.w_False = BoolObject(False)
+
class IntObject(W_Root):
tp = FakeSpace.w_int
@@ -299,6 +428,33 @@
def __init__(self, items):
self.items = items
+class DictObject(W_Root):
+ tp = FakeSpace.w_dict
+ def __init__(self, items):
+ self.items = items
+
+ def getdict(self, space):
+ return self.items
+
+ def getdictvalue(self, space, key):
+ return self.items[key]
+
+class IterDictObject(W_Root):
+ def __init__(self, space, w_dict):
+ self.space = space
+ self.items = w_dict.items.items()
+ self.i = 0
+
+ def __iter__(self):
+ return self
+
+ def next(self):
+ space = self.space
+ if self.i >= len(self.items):
+ raise OperationError(space.w_StopIteration, space.wrap("stop
iteration"))
+ self.i += 1
+ return self.items[self.i-1][0]
+
class SliceObject(W_Root):
tp = FakeSpace.w_slice
def __init__(self, start, stop, step):
@@ -414,6 +570,15 @@
w_rhs = IntObject(int(w_rhs.floatval))
assert isinstance(w_lhs, W_NDimArray)
w_res = w_lhs.descr_getitem(interp.space, w_rhs)
+ if isinstance(w_rhs, IntObject):
+ if isinstance(w_res, boxes.W_Float64Box):
+ print "access", w_lhs, "[", w_rhs.intval, "] => ",
float(w_res.value)
+ if isinstance(w_res, boxes.W_Float32Box):
+ print "access", w_lhs, "[", w_rhs.intval, "] => ",
float(w_res.value)
+ if isinstance(w_res, boxes.W_Int64Box):
+ print "access", w_lhs, "[", w_rhs.intval, "] => ",
int(w_res.value)
+ if isinstance(w_res, boxes.W_Int32Box):
+ print "access", w_lhs, "[", w_rhs.intval, "] => ",
int(w_res.value)
else:
raise NotImplementedError
if (not isinstance(w_res, W_NDimArray) and
@@ -425,9 +590,22 @@
def __repr__(self):
return '(%r %s %r)' % (self.lhs, self.name, self.rhs)
-class FloatConstant(Node):
+class NumberConstant(Node):
def __init__(self, v):
- self.v = float(v)
+ if isinstance(v, int):
+ self.v = v
+ elif isinstance(v, float):
+ self.v = v
+ else:
+ assert isinstance(v, str)
+ assert len(v) > 0
+ c = v[-1]
+ if c == 'f':
+ self.v = float(v[:-1])
+ elif c == 'i':
+ self.v = int(v[:-1])
+ else:
+ self.v = float(v)
def __repr__(self):
return "Const(%s)" % self.v
@@ -519,8 +697,24 @@
def execute(self, interp):
if self.v == 'int':
dtype = get_dtype_cache(interp.space).w_int64dtype
+ elif self.v == 'int8':
+ dtype = get_dtype_cache(interp.space).w_int8dtype
+ elif self.v == 'int16':
+ dtype = get_dtype_cache(interp.space).w_int16dtype
+ elif self.v == 'int32':
+ dtype = get_dtype_cache(interp.space).w_int32dtype
+ elif self.v == 'uint':
+ dtype = get_dtype_cache(interp.space).w_uint64dtype
+ elif self.v == 'uint8':
+ dtype = get_dtype_cache(interp.space).w_uint8dtype
+ elif self.v == 'uint16':
+ dtype = get_dtype_cache(interp.space).w_uint16dtype
+ elif self.v == 'uint32':
+ dtype = get_dtype_cache(interp.space).w_uint32dtype
elif self.v == 'float':
dtype = get_dtype_cache(interp.space).w_float64dtype
+ elif self.v == 'float32':
+ dtype = get_dtype_cache(interp.space).w_float32dtype
else:
raise BadToken('unknown v to dtype "%s"' % self.v)
return dtype
@@ -556,8 +750,13 @@
raise ArgumentMismatch
if self.name == "sum":
if len(self.args)>1:
- w_res = arr.descr_sum(interp.space,
+ var = self.args[1]
+ if isinstance(var, DtypeClass):
+ w_res = arr.descr_sum(interp.space, None,
var.execute(interp))
+ else:
+ w_res = arr.descr_sum(interp.space,
self.args[1].execute(interp))
+
else:
w_res = arr.descr_sum(interp.space)
elif self.name == "prod":
@@ -577,10 +776,10 @@
w_res = logical_xor.reduce(interp.space, arr, None)
elif self.name == "unegative":
neg = ufuncs.get(interp.space).negative
- w_res = neg.call(interp.space, [arr], None, None, None)
+ w_res = neg.call(interp.space, [arr], None, 'unsafe', None)
elif self.name == "cos":
cos = ufuncs.get(interp.space).cos
- w_res = cos.call(interp.space, [arr], None, None, None)
+ w_res = cos.call(interp.space, [arr], None, 'unsafe', None)
elif self.name == "flat":
w_res = arr.descr_get_flatiter(interp.space)
elif self.name == "argsort":
@@ -598,6 +797,8 @@
raise ArgumentNotAnArray
if self.name == "dot":
w_res = arr.descr_dot(interp.space, arg)
+ elif self.name == 'multiply':
+ w_res = arr.descr_mul(interp.space, arg)
elif self.name == 'take':
w_res = arr.descr_take(interp.space, arg)
elif self.name == "searchsorted":
@@ -617,7 +818,7 @@
if self.name == "where":
w_res = where(interp.space, arr, arg1, arg2)
else:
- assert False
+ assert False # unreachable code
elif self.name in TWO_ARG_FUNCTIONS_OR_NONE:
if len(self.args) != 2:
raise ArgumentMismatch
@@ -626,6 +827,11 @@
w_res = arr.descr_view(interp.space, arg)
elif self.name == 'astype':
w_res = arr.descr_astype(interp.space, arg)
+ elif self.name == 'reshape':
+ w_arg = self.args[1]
+ assert isinstance(w_arg, ArrayConstant)
+ order = -1
+ w_res = arr.reshape(interp.space, w_arg.wrap(interp.space),
order)
else:
assert False
else:
@@ -645,7 +851,7 @@
return W_NDimArray.new_scalar(interp.space, dtype, w_res)
_REGEXES = [
- ('-?[\d\.]+', 'number'),
+ ('-?[\d\.]+(i|f)?', 'number'),
('\[', 'array_left'),
(':', 'colon'),
('\w+', 'identifier'),
@@ -719,7 +925,7 @@
start = 0
else:
if tokens.get(0).name != 'colon':
- return FloatConstant(start_tok.v)
+ return NumberConstant(start_tok.v)
start = int(start_tok.v)
tokens.pop()
if not tokens.get(0).name in ['colon', 'number']:
@@ -751,8 +957,30 @@
stack.append(ArrayClass())
elif token.v.strip(' ') == 'int':
stack.append(DtypeClass('int'))
+ elif token.v.strip(' ') == 'int8':
+ stack.append(DtypeClass('int8'))
+ elif token.v.strip(' ') == 'int16':
+ stack.append(DtypeClass('int16'))
+ elif token.v.strip(' ') == 'int32':
+ stack.append(DtypeClass('int32'))
+ elif token.v.strip(' ') == 'int64':
+ stack.append(DtypeClass('int'))
+ elif token.v.strip(' ') == 'uint':
+ stack.append(DtypeClass('uint'))
+ elif token.v.strip(' ') == 'uint8':
+ stack.append(DtypeClass('uint8'))
+ elif token.v.strip(' ') == 'uint16':
+ stack.append(DtypeClass('uint16'))
+ elif token.v.strip(' ') == 'uint32':
+ stack.append(DtypeClass('uint32'))
+ elif token.v.strip(' ') == 'uint64':
+ stack.append(DtypeClass('uint'))
elif token.v.strip(' ') == 'float':
stack.append(DtypeClass('float'))
+ elif token.v.strip(' ') == 'float32':
+ stack.append(DtypeClass('float32'))
+ elif token.v.strip(' ') == 'float64':
+ stack.append(DtypeClass('float'))
else:
stack.append(Variable(token.v.strip(' ')))
elif token.name == 'array_left':
@@ -805,7 +1033,7 @@
while True:
token = tokens.pop()
if token.name == 'number':
- elems.append(FloatConstant(token.v))
+ elems.append(NumberConstant(token.v))
elif token.name == 'array_left':
elems.append(ArrayConstant(self.parse_array_const(tokens)))
elif token.name == 'paren_left':
diff --git a/pypy/module/micronumpy/concrete.py
b/pypy/module/micronumpy/concrete.py
--- a/pypy/module/micronumpy/concrete.py
+++ b/pypy/module/micronumpy/concrete.py
@@ -70,7 +70,10 @@
@jit.unroll_safe
def setslice(self, space, arr):
- if len(arr.get_shape()) > len(self.get_shape()):
+ if arr.get_size() == 1:
+ # we can always set self[:] = scalar
+ pass
+ elif len(arr.get_shape()) > len(self.get_shape()):
# record arrays get one extra dimension
if not self.dtype.is_record() or \
len(arr.get_shape()) > len(self.get_shape()) + 1:
diff --git a/pypy/module/micronumpy/ctors.py b/pypy/module/micronumpy/ctors.py
--- a/pypy/module/micronumpy/ctors.py
+++ b/pypy/module/micronumpy/ctors.py
@@ -86,6 +86,9 @@
def _array(space, w_object, w_dtype=None, copy=True, w_order=None,
subok=False):
+ # numpy testing calls array(type(array([]))) and expects a ValueError
+ if space.isinstance_w(w_object, space.w_type):
+ raise oefmt(space.w_ValueError, "cannot create ndarray from type
instance")
# for anything that isn't already an array, try __array__ method first
if not isinstance(w_object, W_NDimArray):
w_array = try_array_method(space, w_object, w_dtype)
diff --git a/pypy/module/micronumpy/flatiter.py
b/pypy/module/micronumpy/flatiter.py
--- a/pypy/module/micronumpy/flatiter.py
+++ b/pypy/module/micronumpy/flatiter.py
@@ -97,7 +97,7 @@
finally:
self.iter.reset(self.state, mutate=True)
- def descr___array_wrap__(self, space, obj):
+ def descr___array_wrap__(self, space, obj, w_context=None):
return obj
W_FlatIterator.typedef = TypeDef("numpy.flatiter",
diff --git a/pypy/module/micronumpy/iterators.py
b/pypy/module/micronumpy/iterators.py
--- a/pypy/module/micronumpy/iterators.py
+++ b/pypy/module/micronumpy/iterators.py
@@ -83,6 +83,12 @@
self._indices = indices
self.offset = offset
+ def same(self, other):
+ if self.offset == other.offset and \
+ self.index == other.index and \
+ self._indices == other._indices:
+ return self.iterator.same_shape(other.iterator)
+ return False
class ArrayIter(object):
_immutable_fields_ = ['contiguous', 'array', 'size', 'ndim_m1',
'shape_m1[*]',
@@ -100,6 +106,7 @@
self.array = array
self.size = size
self.ndim_m1 = len(shape) - 1
+ #
self.shape_m1 = [s - 1 for s in shape]
self.strides = strides
self.backstrides = backstrides
@@ -113,6 +120,17 @@
factors[ndim-i-1] = factors[ndim-i] * shape[ndim-i]
self.factors = factors
+ def same_shape(self, other):
+ """ Iterating over the same element """
+ if not self.contiguous or not other.contiguous:
+ return False
+ return (self.contiguous == other.contiguous and
+ self.array.dtype is self.array.dtype and
+ self.shape_m1 == other.shape_m1 and
+ self.strides == other.strides and
+ self.backstrides == other.backstrides and
+ self.factors == other.factors)
+
@jit.unroll_safe
def reset(self, state=None, mutate=False):
index = 0
@@ -138,9 +156,13 @@
indices = state._indices
offset = state.offset
if self.contiguous:
- offset += self.array.dtype.elsize
+ elsize = self.array.dtype.elsize
+ jit.promote(elsize)
+ offset += elsize
elif self.ndim_m1 == 0:
- offset += self.strides[0]
+ stride = self.strides[0]
+ jit.promote(stride)
+ offset += stride
else:
for i in xrange(self.ndim_m1, -1, -1):
idx = indices[i]
@@ -192,7 +214,7 @@
return state.index >= self.size
def getitem(self, state):
- assert state.iterator is self
+ # assert state.iterator is self
return self.array.getitem(state.offset)
def getitem_bool(self, state):
@@ -203,7 +225,6 @@
assert state.iterator is self
self.array.setitem(state.offset, elem)
-
def AxisIter(array, shape, axis):
strides = array.get_strides()
backstrides = array.get_backstrides()
diff --git a/pypy/module/micronumpy/loop.py b/pypy/module/micronumpy/loop.py
--- a/pypy/module/micronumpy/loop.py
+++ b/pypy/module/micronumpy/loop.py
@@ -2,6 +2,7 @@
operations. This is the place to look for all the computations that iterate
over all the array elements.
"""
+import py
from pypy.interpreter.error import OperationError
from rpython.rlib import jit
from rpython.rlib.rstring import StringBuilder
@@ -13,11 +14,6 @@
from pypy.interpreter.argument import Arguments
-call2_driver = jit.JitDriver(
- name='numpy_call2',
- greens=['shapelen', 'func', 'calc_dtype', 'res_dtype'],
- reds='auto')
-
def call2(space, shape, func, calc_dtype, w_lhs, w_rhs, out):
if w_lhs.get_size() == 1:
w_left = w_lhs.get_scalar_value().convert_to(space, calc_dtype)
@@ -38,24 +34,104 @@
out_iter, out_state = out.create_iter(shape)
shapelen = len(shape)
res_dtype = out.get_dtype()
- while not out_iter.done(out_state):
- call2_driver.jit_merge_point(shapelen=shapelen, func=func,
- calc_dtype=calc_dtype,
res_dtype=res_dtype)
- if left_iter:
- w_left = left_iter.getitem(left_state).convert_to(space,
calc_dtype)
- left_state = left_iter.next(left_state)
- if right_iter:
- w_right = right_iter.getitem(right_state).convert_to(space,
calc_dtype)
- right_state = right_iter.next(right_state)
- out_iter.setitem(out_state, func(calc_dtype, w_left,
w_right).convert_to(
- space, res_dtype))
- out_state = out_iter.next(out_state)
- return out
+ call2_func = try_to_share_iterators_call2(left_iter, right_iter,
+ left_state, right_state, out_state)
+ params = (space, shapelen, func, calc_dtype, res_dtype, out,
+ w_left, w_right, left_iter, right_iter, out_iter,
+ left_state, right_state, out_state)
+ return call2_func(*params)
+
+def try_to_share_iterators_call2(left_iter, right_iter, left_state,
right_state, out_state):
+ # these are all possible iterator sharing combinations
+ # left == right == out
+ # left == right
+ # left == out
+ # right == out
+ right_out_equal = False
+ if right_iter:
+ # rhs is not a scalar
+ if out_state.same(right_state):
+ right_out_equal = True
+ #
+ if not left_iter:
+ # lhs is a scalar
+ if right_out_equal:
+ return call2_advance_out_left
+ else:
+ # worst case, nothing can be shared and lhs is a scalar
+ return call2_advance_out_left_right
+ else:
+ # lhs is NOT a scalar
+ if out_state.same(left_state):
+ # (2) out and left are the same -> remove left
+ if right_out_equal:
+ # the best case
+ return call2_advance_out
+ else:
+ return call2_advance_out_right
+ else:
+ if right_out_equal:
+ # right and out are equal, only advance left and out
+ return call2_advance_out_left
+ else:
+ if right_iter and right_state.same(left_state):
+ # left and right are equal, but still need to advance out
+ return call2_advance_out_left_eq_right
+ else:
+ # worst case, nothing can be shared
+ return call2_advance_out_left_right
+
+ assert 0, "logical problem with the selection of the call2 case"
+
+def generate_call2_cases(name, left_state, right_state):
+ call2_driver = jit.JitDriver(name='numpy_call2_' + name,
+ greens=['shapelen', 'func', 'calc_dtype', 'res_dtype'],
+ reds='auto', vectorize=True)
+ #
+ advance_left_state = left_state == "left_state"
+ advance_right_state = right_state == "right_state"
+ code = """
+ def method(space, shapelen, func, calc_dtype, res_dtype, out,
+ w_left, w_right, left_iter, right_iter, out_iter,
+ left_state, right_state, out_state):
+ while not out_iter.done(out_state):
+ call2_driver.jit_merge_point(shapelen=shapelen, func=func,
+ calc_dtype=calc_dtype, res_dtype=res_dtype)
+ if left_iter:
+ w_left = left_iter.getitem({left_state}).convert_to(space,
calc_dtype)
+ if right_iter:
+ w_right = right_iter.getitem({right_state}).convert_to(space,
calc_dtype)
+ w_out = func(calc_dtype, w_left, w_right)
+ out_iter.setitem(out_state, w_out.convert_to(space, res_dtype))
+ out_state = out_iter.next(out_state)
+ if advance_left_state and left_iter:
+ left_state = left_iter.next(left_state)
+ if advance_right_state and right_iter:
+ right_state = right_iter.next(right_state)
+ #
+ # if not set to None, the values will be loop carried
+ # (for the var,var case), forcing the vectorization to unpack
+ # the vector registers at the end of the loop
+ if left_iter:
+ w_left = None
+ if right_iter:
+ w_right = None
+ return out
+ """
+
exec(py.code.Source(code.format(left_state=left_state,right_state=right_state)).compile(),
locals())
+ method.__name__ = "call2_" + name
+ return method
+
+call2_advance_out = generate_call2_cases("inc_out", "out_state", "out_state")
+call2_advance_out_left = generate_call2_cases("inc_out_left", "left_state",
"out_state")
+call2_advance_out_right = generate_call2_cases("inc_out_right", "out_state",
"right_state")
+call2_advance_out_left_eq_right =
generate_call2_cases("inc_out_left_eq_right", "left_state", "left_state")
+call2_advance_out_left_right = generate_call2_cases("inc_out_left_right",
"left_state", "right_state")
call1_driver = jit.JitDriver(
name='numpy_call1',
- greens=['shapelen', 'func', 'calc_dtype', 'res_dtype'],
- reds='auto')
+ greens=['shapelen', 'share_iterator', 'func', 'calc_dtype', 'res_dtype'],
+ reds='auto', vectorize=True)
def call1(space, shape, func, calc_dtype, w_obj, w_ret):
obj_iter, obj_state = w_obj.create_iter(shape)
@@ -63,13 +139,24 @@
out_iter, out_state = w_ret.create_iter(shape)
shapelen = len(shape)
res_dtype = w_ret.get_dtype()
+ share_iterator = out_state.same(obj_state)
while not out_iter.done(out_state):
call1_driver.jit_merge_point(shapelen=shapelen, func=func,
+ share_iterator=share_iterator,
calc_dtype=calc_dtype,
res_dtype=res_dtype)
- elem = obj_iter.getitem(obj_state).convert_to(space, calc_dtype)
+ if share_iterator:
+ # use out state as param to getitem
+ elem = obj_iter.getitem(out_state).convert_to(space, calc_dtype)
+ else:
+ elem = obj_iter.getitem(obj_state).convert_to(space, calc_dtype)
out_iter.setitem(out_state, func(calc_dtype, elem).convert_to(space,
res_dtype))
- out_state = out_iter.next(out_state)
- obj_state = obj_iter.next(obj_state)
+ if share_iterator:
+ # only advance out, they share the same iteration space
+ out_state = out_iter.next(out_state)
+ else:
+ out_state = out_iter.next(out_state)
+ obj_state = obj_iter.next(obj_state)
+ elem = None
return w_ret
call_many_to_one_driver = jit.JitDriver(
@@ -145,7 +232,7 @@
vals[i] = in_dtypes[i].coerce(space,
in_iters[i].getitem(in_states[i]))
w_arglist = space.newlist(vals)
w_outvals = space.call_args(func, Arguments.frompacked(space,
w_arglist))
- # w_outvals should be a tuple, but func can return a single value as
well
+ # w_outvals should be a tuple, but func can return a single value as
well
if space.isinstance_w(w_outvals, space.w_tuple):
batch = space.listview(w_outvals)
for i in range(len(batch)):
@@ -161,7 +248,7 @@
setslice_driver = jit.JitDriver(name='numpy_setslice',
greens = ['shapelen', 'dtype'],
- reds = 'auto')
+ reds = 'auto', vectorize=True)
def setslice(space, shape, target, source):
if not shape:
@@ -239,7 +326,8 @@
reduce_flat_driver = jit.JitDriver(
name='numpy_reduce_flat',
- greens = ['shapelen', 'func', 'done_func', 'calc_dtype'], reds = 'auto')
+ greens = ['shapelen', 'func', 'done_func', 'calc_dtype'], reds = 'auto',
+ vectorize = True)
def reduce_flat(space, func, w_arr, calc_dtype, done_func, identity):
obj_iter, obj_state = w_arr.create_iter()
@@ -260,10 +348,10 @@
obj_state = obj_iter.next(obj_state)
return cur_value
-
reduce_driver = jit.JitDriver(
name='numpy_reduce',
- greens=['shapelen', 'func', 'dtype'], reds='auto')
+ greens=['shapelen', 'func', 'dtype'], reds='auto',
+ vectorize=True)
def reduce(space, func, w_arr, axis_flags, dtype, out, identity):
out_iter, out_state = out.create_iter()
@@ -298,7 +386,7 @@
accumulate_flat_driver = jit.JitDriver(
name='numpy_accumulate_flat',
greens=['shapelen', 'func', 'dtype', 'out_dtype'],
- reds='auto')
+ reds='auto', vectorize=True)
def accumulate_flat(space, func, w_arr, calc_dtype, w_out, identity):
arr_iter, arr_state = w_arr.create_iter()
@@ -325,7 +413,9 @@
accumulate_driver = jit.JitDriver(
name='numpy_accumulate',
- greens=['shapelen', 'func', 'calc_dtype'], reds='auto')
+ greens=['shapelen', 'func', 'calc_dtype'],
+ reds='auto',
+ vectorize=True)
def accumulate(space, func, w_arr, axis, calc_dtype, w_out, identity):
@@ -375,7 +465,8 @@
where_driver = jit.JitDriver(name='numpy_where',
greens = ['shapelen', 'dtype', 'arr_dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def where(space, out, shape, arr, x, y, dtype):
out_iter, out_state = out.create_iter(shape)
@@ -416,7 +507,6 @@
state = x_state
return out
-
def _new_argmin_argmax(op_name):
arg_driver = jit.JitDriver(name='numpy_' + op_name,
greens = ['shapelen', 'dtype'],
@@ -481,7 +571,8 @@
dot_driver = jit.JitDriver(name = 'numpy_dot',
greens = ['dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def multidim_dot(space, left, right, result, dtype, right_critical_dim):
''' assumes left, right are concrete arrays
@@ -524,8 +615,8 @@
lval = left_impl.getitem(i1).convert_to(space, dtype)
rval = right_impl.getitem(i2).convert_to(space, dtype)
oval = dtype.itemtype.add(oval, dtype.itemtype.mul(lval, rval))
- i1 += s1
- i2 += s2
+ i1 += jit.promote(s1)
+ i2 += jit.promote(s2)
outi.setitem(outs, oval)
outs = outi.next(outs)
rights = righti.next(rights)
@@ -535,7 +626,8 @@
count_all_true_driver = jit.JitDriver(name = 'numpy_count',
greens = ['shapelen', 'dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def count_all_true_concrete(impl):
s = 0
@@ -556,7 +648,8 @@
nonzero_driver = jit.JitDriver(name = 'numpy_nonzero',
greens = ['shapelen', 'dims', 'dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def nonzero(res, arr, box):
res_iter, res_state = res.create_iter()
@@ -578,7 +671,8 @@
getitem_filter_driver = jit.JitDriver(name = 'numpy_getitem_bool',
greens = ['shapelen', 'arr_dtype',
'index_dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def getitem_filter(res, arr, index):
res_iter, res_state = res.create_iter()
@@ -606,7 +700,8 @@
setitem_filter_driver = jit.JitDriver(name = 'numpy_setitem_bool',
greens = ['shapelen', 'arr_dtype',
'index_dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def setitem_filter(space, arr, index, value):
arr_iter, arr_state = arr.create_iter()
@@ -635,7 +730,8 @@
flatiter_getitem_driver = jit.JitDriver(name = 'numpy_flatiter_getitem',
greens = ['dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def flatiter_getitem(res, base_iter, base_state, step):
ri, rs = res.create_iter()
@@ -649,7 +745,8 @@
flatiter_setitem_driver = jit.JitDriver(name = 'numpy_flatiter_setitem',
greens = ['dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def flatiter_setitem(space, dtype, val, arr_iter, arr_state, step, length):
val_iter, val_state = val.create_iter()
@@ -758,7 +855,8 @@
byteswap_driver = jit.JitDriver(name='numpy_byteswap_driver',
greens = ['dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def byteswap(from_, to):
dtype = from_.dtype
@@ -773,7 +871,8 @@
choose_driver = jit.JitDriver(name='numpy_choose_driver',
greens = ['shapelen', 'mode', 'dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def choose(space, arr, choices, shape, dtype, out, mode):
shapelen = len(shape)
@@ -807,7 +906,8 @@
clip_driver = jit.JitDriver(name='numpy_clip_driver',
greens = ['shapelen', 'dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def clip(space, arr, shape, min, max, out):
assert min or max
@@ -842,7 +942,8 @@
round_driver = jit.JitDriver(name='numpy_round_driver',
greens = ['shapelen', 'dtype'],
- reds = 'auto')
+ reds = 'auto',
+ vectorize=True)
def round(space, arr, dtype, shape, decimals, out):
arr_iter, arr_state = arr.create_iter(shape)
diff --git a/pypy/module/micronumpy/strides.py
b/pypy/module/micronumpy/strides.py
--- a/pypy/module/micronumpy/strides.py
+++ b/pypy/module/micronumpy/strides.py
@@ -7,6 +7,7 @@
# structures to describe slicing
class BaseChunk(object):
+ _attrs_ = ['step','out_dim']
pass
diff --git a/pypy/module/micronumpy/test/test_compile.py
b/pypy/module/micronumpy/test/test_compile.py
--- a/pypy/module/micronumpy/test/test_compile.py
+++ b/pypy/module/micronumpy/test/test_compile.py
@@ -1,6 +1,6 @@
import py
from pypy.module.micronumpy.compile import (numpy_compile, Assignment,
- ArrayConstant, FloatConstant, Operator, Variable, RangeConstant, Execute,
+ ArrayConstant, NumberConstant, Operator, Variable, RangeConstant, Execute,
FunctionCall, FakeSpace, W_NDimArray)
@@ -25,30 +25,30 @@
interp = self.compile(code)
assert isinstance(interp.code.statements[0].expr, ArrayConstant)
st = interp.code.statements[0]
- assert st.expr.items == [FloatConstant(1), FloatConstant(2),
- FloatConstant(3)]
+ assert st.expr.items == [NumberConstant(1), NumberConstant(2),
+ NumberConstant(3)]
def test_array_literal2(self):
code = "a = [[1],[2],[3]]"
interp = self.compile(code)
assert isinstance(interp.code.statements[0].expr, ArrayConstant)
st = interp.code.statements[0]
- assert st.expr.items == [ArrayConstant([FloatConstant(1)]),
- ArrayConstant([FloatConstant(2)]),
- ArrayConstant([FloatConstant(3)])]
+ assert st.expr.items == [ArrayConstant([NumberConstant(1)]),
+ ArrayConstant([NumberConstant(2)]),
+ ArrayConstant([NumberConstant(3)])]
def test_expr_1(self):
code = "b = a + 1"
interp = self.compile(code)
assert (interp.code.statements[0].expr ==
- Operator(Variable("a"), "+", FloatConstant(1)))
+ Operator(Variable("a"), "+", NumberConstant(1)))
def test_expr_2(self):
code = "b = a + b - 3"
interp = self.compile(code)
assert (interp.code.statements[0].expr ==
Operator(Operator(Variable("a"), "+", Variable("b")), "-",
- FloatConstant(3)))
+ NumberConstant(3)))
def test_expr_3(self):
# an equivalent of range
@@ -60,13 +60,13 @@
code = "3 + a"
interp = self.compile(code)
assert interp.code.statements[0] == Execute(
- Operator(FloatConstant(3), "+", Variable("a")))
+ Operator(NumberConstant(3), "+", Variable("a")))
def test_array_access(self):
code = "a -> 3"
interp = self.compile(code)
assert interp.code.statements[0] == Execute(
- Operator(Variable("a"), "->", FloatConstant(3)))
+ Operator(Variable("a"), "->", NumberConstant(3)))
def test_function_call(self):
code = "sum(a)"
@@ -81,7 +81,7 @@
"""
interp = self.compile(code)
assert interp.code.statements[0] == Assignment(
- 'a', Operator(Variable('b'), "+", FloatConstant(3)))
+ 'a', Operator(Variable('b'), "+", NumberConstant(3)))
class TestRunner(object):
@@ -272,6 +272,14 @@
""")
assert interp.results[0].value == 3
+ def test_any(self):
+ interp = self.run("""
+ a = [0,0,0,0,0.1,0,0,0,0]
+ b = any(a)
+ b -> 0
+ """)
+ assert interp.results[0].value == 1
+
def test_where(self):
interp = self.run('''
a = [1, 0, 3, 0]
diff --git a/pypy/module/micronumpy/test/test_ndarray.py
b/pypy/module/micronumpy/test/test_ndarray.py
--- a/pypy/module/micronumpy/test/test_ndarray.py
+++ b/pypy/module/micronumpy/test/test_ndarray.py
@@ -292,6 +292,8 @@
a = np.array('123', dtype='intp')
assert a == 123
assert a.dtype == np.intp
+ # required for numpy test suite
+ raises(ValueError, np.array, type(a))
def test_array_copy(self):
from numpy import array
diff --git a/pypy/module/micronumpy/test/test_ufuncs.py
b/pypy/module/micronumpy/test/test_ufuncs.py
--- a/pypy/module/micronumpy/test/test_ufuncs.py
+++ b/pypy/module/micronumpy/test/test_ufuncs.py
@@ -319,6 +319,28 @@
assert out0.dtype in (int, complex)
assert (out0 == in0 * 2).all()
+ def test_frompyfunc_scalar(self):
+ import sys
+ import numpy as np
+ if '__pypy__' not in sys.builtin_module_names:
+ skip('PyPy only frompyfunc extension')
+
+ def summer(in0):
+ out = np.empty(1, in0.dtype)
+ out[0] = in0.sum()
+ return out
+
+ pysummer = np.frompyfunc([summer, summer], 1, 1,
+ dtypes=[np.dtype(int), np.dtype(int),
+ np.dtype(complex), np.dtype(complex)],
+ stack_inputs=False, signature='(m,m)->()',
+ )
+ for d in [np.dtype(float), np.dtype('uint8'), np.dtype('complex64')]:
+ in0 = np.arange(4, dtype=d).reshape(1, 2, 2)
+ out0 = pysummer(in0)
+ assert out0 == in0.sum()
+ assert out0.dtype in (int, complex)
+
def test_ufunc_kwargs(self):
from numpy import ufunc, frompyfunc, arange, dtype
def adder(a, b):
diff --git a/pypy/module/micronumpy/test/test_zjit.py
b/pypy/module/micronumpy/test/test_zjit.py
--- a/pypy/module/micronumpy/test/test_zjit.py
+++ b/pypy/module/micronumpy/test/test_zjit.py
@@ -4,17 +4,37 @@
import py
from rpython.jit.metainterp.test.support import LLJitMixin
+from rpython.jit.backend.x86.test.test_basic import Jit386Mixin
from rpython.jit.metainterp.warmspot import reset_jit, get_stats
+from rpython.jit.metainterp.jitprof import Profiler
+from rpython.jit.metainterp import counter
+from rpython.rlib.jit import Counters
+from rpython.rlib.rarithmetic import intmask
from pypy.module.micronumpy import boxes
from pypy.module.micronumpy.compile import FakeSpace, Parser, InterpreterState
from pypy.module.micronumpy.base import W_NDimArray
+from rpython.jit.backend.detect_cpu import getcpuclass
-py.test.skip('move these to pypyjit/test_pypy_c/test_micronumpy')
+CPU = getcpuclass()
+if not CPU.vector_extension:
+ py.test.skip("this cpu %s has no implemented vector backend" % CPU)
+
+def get_profiler():
+ from rpython.jit.metainterp import pyjitpl
+ return pyjitpl._warmrunnerdesc.metainterp_sd.profiler
class TestNumpyJit(LLJitMixin):
+ enable_opts =
"intbounds:rewrite:virtualize:string:earlyforce:pure:heap:unroll"
graph = None
interp = None
+ def setup_method(self, method):
+ if not self.CPUClass.vector_extension:
+ py.test.skip("needs vector extension to run (for now)")
+
+ def assert_float_equal(self, f1, f2, delta=0.0001):
+ assert abs(f1-f2) < delta
+
def setup_class(cls):
default = """
a = [1,2,3,4]
@@ -52,12 +72,29 @@
w_res = i.getitem(s)
if isinstance(w_res, boxes.W_Float64Box):
return w_res.value
+ if isinstance(w_res, boxes.W_Float32Box):
+ return float(w_res.value)
elif isinstance(w_res, boxes.W_Int64Box):
return float(w_res.value)
+ elif isinstance(w_res, boxes.W_Int32Box):
+ return float(int(w_res.value))
+ elif isinstance(w_res, boxes.W_Int16Box):
+ return float(int(w_res.value))
+ elif isinstance(w_res, boxes.W_Int8Box):
+ return float(int(w_res.value))
+ elif isinstance(w_res, boxes.W_UInt64Box):
+ return float(intmask(w_res.value))
+ elif isinstance(w_res, boxes.W_UInt32Box):
+ return float(intmask(w_res.value))
+ elif isinstance(w_res, boxes.W_UInt16Box):
+ return float(intmask(w_res.value))
+ elif isinstance(w_res, boxes.W_UInt8Box):
+ return float(intmask(w_res.value))
elif isinstance(w_res, boxes.W_LongBox):
return float(w_res.value)
elif isinstance(w_res, boxes.W_BoolBox):
return float(w_res.value)
+ print "ERROR: did not implement return type for interpreter"
raise TypeError(w_res)
if self.graph is None:
@@ -65,122 +102,354 @@
listops=True,
listcomp=True,
backendopt=True,
- graph_and_interp_only=True)
+ graph_and_interp_only=True,
+ ProfilerClass=Profiler,
+ vec=True)
self.__class__.interp = interp
self.__class__.graph = graph
+ def check_vectorized(self, expected_tried, expected_success):
+ profiler = get_profiler()
+ tried = profiler.get_counter(Counters.OPT_VECTORIZE_TRY)
+ success = profiler.get_counter(Counters.OPT_VECTORIZED)
+ assert tried >= success
+ assert tried == expected_tried
+ assert success == expected_success
+
def run(self, name):
self.compile_graph()
+ profiler = get_profiler()
+ profiler.start()
reset_jit()
i = self.code_mapping[name]
retval = self.interp.eval_graph(self.graph, [i])
return retval
- def define_add():
+ def define_float32_copy():
+ return """
+ a = astype(|30|, float32)
+ x1 = a -> 7
+ x2 = a -> 8
+ x3 = a -> 9
+ x4 = a -> 10
+ r = x1 + x2 + x3 + x4
+ r
+ """
+ def test_float32_copy(self):
+ result = self.run("float32_copy")
+ assert int(result) == 7+8+9+10
+ self.check_vectorized(1, 1)
+
+ def define_int32_copy():
+ return """
+ a = astype(|30|, int32)
+ x1 = a -> 7
+ x2 = a -> 8
+ x3 = a -> 9
+ x4 = a -> 10
+ x1 + x2 + x3 + x4
+ """
+ def test_int32_copy(self):
+ result = self.run("int32_copy")
+ assert int(result) == 7+8+9+10
+ self.check_vectorized(1, 1)
+
+ def define_float32_add():
+ return """
+ a = astype(|30|, float32)
+ b = a + a
+ b -> 15
+ """
+ def test_float32_add(self):
+ result = self.run("float32_add")
+ self.assert_float_equal(result, 15.0 + 15.0)
+ self.check_vectorized(2, 2)
+
+ def define_float_add():
return """
a = |30|
b = a + a
_______________________________________________
pypy-commit mailing list
pypy-commit@python.org
https://mail.python.org/mailman/listinfo/pypy-commit
