Author: Philip Jenvey <pjen...@underboss.org>
Branch: py3k
Changeset: r75210:ace68169b31e
Date: 2015-01-02 12:39 -0800
http://bitbucket.org/pypy/pypy/changeset/ace68169b31e/
Log: merge default
diff too long, truncating to 2000 out of 15159 lines
diff --git a/LICENSE b/LICENSE
--- a/LICENSE
+++ b/LICENSE
@@ -28,7 +28,7 @@
DEALINGS IN THE SOFTWARE.
-PyPy Copyright holders 2003-2014
+PyPy Copyright holders 2003-2015
-----------------------------------
Except when otherwise stated (look for LICENSE files or information at
diff --git a/lib-python/2.7/distutils/unixccompiler.py
b/lib-python/2.7/distutils/unixccompiler.py
--- a/lib-python/2.7/distutils/unixccompiler.py
+++ b/lib-python/2.7/distutils/unixccompiler.py
@@ -58,7 +58,7 @@
executables = {'preprocessor' : None,
'compiler' : ["cc"],
'compiler_so' : ["cc"],
- 'compiler_cxx' : ["cc"],
+ 'compiler_cxx' : ["c++"], # pypy: changed, 'cc' is bogus
'linker_so' : ["cc", "-shared"],
'linker_exe' : ["cc"],
'archiver' : ["ar", "-cr"],
diff --git a/lib-python/2.7/sqlite3/test/dbapi.py
b/lib-python/2.7/sqlite3/test/dbapi.py
--- a/lib-python/2.7/sqlite3/test/dbapi.py
+++ b/lib-python/2.7/sqlite3/test/dbapi.py
@@ -478,6 +478,29 @@
except TypeError:
pass
+ def CheckCurDescription(self):
+ self.cu.execute("select * from test")
+
+ actual = self.cu.description
+ expected = [
+ ('id', None, None, None, None, None, None),
+ ('name', None, None, None, None, None, None),
+ ('income', None, None, None, None, None, None),
+ ]
+ self.assertEqual(expected, actual)
+
+ def CheckCurDescriptionVoidStatement(self):
+ self.cu.execute("insert into test(name) values (?)", ("foo",))
+ self.assertIsNone(self.cu.description)
+
+ def CheckCurDescriptionWithoutStatement(self):
+ cu = self.cx.cursor()
+ try:
+ self.assertIsNone(cu.description)
+ finally:
+ cu.close()
+
+
@unittest.skipUnless(threading, 'This test requires threading.')
class ThreadTests(unittest.TestCase):
def setUp(self):
diff --git a/lib-python/2.7/subprocess.py b/lib-python/2.7/subprocess.py
--- a/lib-python/2.7/subprocess.py
+++ b/lib-python/2.7/subprocess.py
@@ -1589,7 +1589,7 @@
'copyfile' in caller.f_globals):
dest_dir = sys.pypy_resolvedirof(target_executable)
src_dir = sys.pypy_resolvedirof(sys.executable)
- for libname in ['libpypy-c.so']:
+ for libname in ['libpypy-c.so', 'libpypy-c.dylib']:
dest_library = os.path.join(dest_dir, libname)
src_library = os.path.join(src_dir, libname)
if os.path.exists(src_library):
diff --git a/lib-python/2.7/test/test_collections.py
b/lib-python/2.7/test/test_collections.py
--- a/lib-python/2.7/test/test_collections.py
+++ b/lib-python/2.7/test/test_collections.py
@@ -1108,6 +1108,16 @@
od.popitem()
self.assertEqual(len(od), 0)
+ def test_popitem_first(self):
+ pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)]
+ shuffle(pairs)
+ od = OrderedDict(pairs)
+ while pairs:
+ self.assertEqual(od.popitem(last=False), pairs.pop(0))
+ with self.assertRaises(KeyError):
+ od.popitem(last=False)
+ self.assertEqual(len(od), 0)
+
def test_pop(self):
pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)]
shuffle(pairs)
@@ -1179,7 +1189,11 @@
od = OrderedDict(pairs)
# yaml.dump(od) -->
# '!!python/object/apply:__main__.OrderedDict\n- - [a, 1]\n - [b,
2]\n'
- self.assertTrue(all(type(pair)==list for pair in od.__reduce__()[1]))
+
+ # PyPy bug fix: added [0] at the end of this line, because the
+ # test is really about the 2-tuples that need to be 2-lists
+ # inside the list of 6 of them
+ self.assertTrue(all(type(pair)==list for pair in
od.__reduce__()[1][0]))
def test_reduce_not_too_fat(self):
# do not save instance dictionary if not needed
@@ -1189,6 +1203,16 @@
od.x = 10
self.assertEqual(len(od.__reduce__()), 3)
+ def test_reduce_exact_output(self):
+ # PyPy: test that __reduce__() produces the exact same answer as
+ # CPython does, even though in the 'all_ordered_dicts' branch we
+ # have to emulate it.
+ pairs = [['c', 1], ['b', 2], ['d', 4]]
+ od = OrderedDict(pairs)
+ self.assertEqual(od.__reduce__(), (OrderedDict, (pairs,)))
+ od.x = 10
+ self.assertEqual(od.__reduce__(), (OrderedDict, (pairs,), {'x': 10}))
+
def test_repr(self):
od = OrderedDict([('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5),
('f', 6)])
self.assertEqual(repr(od),
diff --git a/lib-python/2.7/test/test_xml_etree.py
b/lib-python/2.7/test/test_xml_etree.py
--- a/lib-python/2.7/test/test_xml_etree.py
+++ b/lib-python/2.7/test/test_xml_etree.py
@@ -225,9 +225,9 @@
>>> element.remove(subelement)
>>> serialize(element) # 5
'<tag key="value" />'
- >>> element.remove(subelement)
+ >>> element.remove(subelement) # doctest: +ELLIPSIS
Traceback (most recent call last):
- ValueError: list.remove(x): x not in list
+ ValueError: list.remove(...
>>> serialize(element) # 6
'<tag key="value" />'
>>> element[0:0] = [subelement, subelement, subelement]
diff --git a/lib-python/stdlib-upgrade.txt b/lib-python/stdlib-upgrade.txt
--- a/lib-python/stdlib-upgrade.txt
+++ b/lib-python/stdlib-upgrade.txt
@@ -7,7 +7,7 @@
1. check out the branch vendor/stdlib
2. upgrade the files there
-3. update stdlib-versions.txt with the output of hg -id from the cpython repo
+3. update stdlib-version.txt with the output of hg -id from the cpython repo
4. commit
5. update to default/py3k
6. create a integration branch for the new stdlib
diff --git a/lib_pypy/_functools.py b/lib_pypy/_functools.py
--- a/lib_pypy/_functools.py
+++ b/lib_pypy/_functools.py
@@ -33,7 +33,10 @@
of the given arguments and keywords.
"""
- def __init__(self, func, *args, **keywords):
+ def __init__(self, *args, **keywords):
+ if not args:
+ raise TypeError('__init__() takes at least 2 arguments (1 given)')
+ func, args = args[0], args[1:]
if not callable(func):
raise TypeError("the first argument must be callable")
self._func = func
diff --git a/lib_pypy/_sqlite3.py b/lib_pypy/_sqlite3.py
--- a/lib_pypy/_sqlite3.py
+++ b/lib_pypy/_sqlite3.py
@@ -1187,8 +1187,9 @@
try:
return self.__description
except AttributeError:
- self.__description = self.__statement._get_description()
- return self.__description
+ if self.__statement:
+ self.__description = self.__statement._get_description()
+ return self.__description
description = property(__get_description)
def __get_lastrowid(self):
diff --git a/lib_pypy/readline.py b/lib_pypy/readline.py
--- a/lib_pypy/readline.py
+++ b/lib_pypy/readline.py
@@ -8,5 +8,9 @@
try:
from pyrepl.readline import *
-except SyntaxError:
- raise ImportError
+except ImportError:
+ import sys
+ if sys.platform == 'win32':
+ raise ImportError("the 'readline' module is not available on Windows"
+ " (on either PyPy or CPython)")
+ raise
diff --git a/pypy/doc/embedding.rst b/pypy/doc/embedding.rst
--- a/pypy/doc/embedding.rst
+++ b/pypy/doc/embedding.rst
@@ -6,6 +6,10 @@
C. It was developed in collaboration with Roberto De Ioris from the `uwsgi`_
project. The `PyPy uwsgi plugin`_ is a good example of using the embedding API.
+**NOTE**: As of 1st of December, PyPy comes with ``--shared`` by default
+on linux, linux64 and windows. We will make it the default on all platforms
+by the time of the next release.
+
The first thing that you need is to compile PyPy yourself with the option
``--shared``. We plan to make ``--shared`` the default in the future. Consult
the `how to compile PyPy`_ doc for details. This will result in ``libpypy.so``
@@ -93,12 +97,18 @@
return res;
}
-If we save it as ``x.c`` now, compile it and run it with::
+If we save it as ``x.c`` now, compile it and run it (on linux) with::
fijal@hermann:/opt/pypy$ gcc -o x x.c -lpypy-c -L.
fijal@hermann:/opt/pypy$ LD_LIBRARY_PATH=. ./x
hello from pypy
+on OSX it is necessary to set the rpath of the binary if one wants to link to
it::
+
+ gcc -o x x.c -lpypy-c -L. -Wl,-rpath -Wl,@executable_path
+ ./x
+ hello from pypy
+
Worked!
.. note:: If the compilation fails because of missing PyPy.h header file,
diff --git a/pypy/doc/project-ideas.rst b/pypy/doc/project-ideas.rst
--- a/pypy/doc/project-ideas.rst
+++ b/pypy/doc/project-ideas.rst
@@ -35,6 +35,13 @@
PyPy's bytearray type is very inefficient. It would be an interesting
task to look into possible optimizations on this.
+Implement AF_XXX packet types for PyPy
+--------------------------------------
+
+PyPy is missing AF_XXX types of sockets. Implementing it is easy-to-medium
+task. `bug report`_
+
+.. _`bug report`:
https://bitbucket.org/pypy/pypy/issue/1942/support-for-af_xxx-sockets#more
Implement copy-on-write list slicing
------------------------------------
diff --git a/pypy/goal/targetpypystandalone.py
b/pypy/goal/targetpypystandalone.py
--- a/pypy/goal/targetpypystandalone.py
+++ b/pypy/goal/targetpypystandalone.py
@@ -241,8 +241,7 @@
enable_translationmodules(config)
config.translation.suggest(check_str_without_nul=True)
- if sys.platform.startswith('linux'):
- config.translation.suggest(shared=True)
+ config.translation.suggest(shared=True)
if config.translation.thread:
config.objspace.usemodules.thread = True
diff --git a/pypy/interpreter/astcompiler/optimize.py
b/pypy/interpreter/astcompiler/optimize.py
--- a/pypy/interpreter/astcompiler/optimize.py
+++ b/pypy/interpreter/astcompiler/optimize.py
@@ -89,17 +89,16 @@
class __extend__(ast.BoolOp):
- def _accept_jump_if_any_is(self, gen, condition, target):
- self.values[0].accept_jump_if(gen, condition, target)
- for i in range(1, len(self.values)):
+ def _accept_jump_if_any_is(self, gen, condition, target, skip_last=0):
+ for i in range(len(self.values) - skip_last):
self.values[i].accept_jump_if(gen, condition, target)
def accept_jump_if(self, gen, condition, target):
if condition and self.op == ast.And or \
(not condition and self.op == ast.Or):
end = gen.new_block()
- self._accept_jump_if_any_is(gen, not condition, end)
- gen.emit_jump(ops.JUMP_FORWARD, target)
+ self._accept_jump_if_any_is(gen, not condition, end, skip_last=1)
+ self.values[-1].accept_jump_if(gen, condition, target)
gen.use_next_block(end)
else:
self._accept_jump_if_any_is(gen, condition, target)
diff --git a/pypy/interpreter/pyframe.py b/pypy/interpreter/pyframe.py
--- a/pypy/interpreter/pyframe.py
+++ b/pypy/interpreter/pyframe.py
@@ -125,6 +125,8 @@
else:
return self.space.builtin
+ _NO_CELLS = []
+
@jit.unroll_safe
def initialize_frame_scopes(self, outer_func, code):
# regular functions always have CO_OPTIMIZED and CO_NEWLOCALS.
@@ -143,7 +145,7 @@
nfreevars = len(code.co_freevars)
if not nfreevars:
if not ncellvars:
- self.cells = []
+ self.cells = self._NO_CELLS
return # no self.cells needed - fast path
elif outer_func is None:
space = self.space
diff --git a/pypy/module/_cffi_backend/__init__.py
b/pypy/module/_cffi_backend/__init__.py
--- a/pypy/module/_cffi_backend/__init__.py
+++ b/pypy/module/_cffi_backend/__init__.py
@@ -34,6 +34,7 @@
'newp_handle': 'handle.newp_handle',
'from_handle': 'handle.from_handle',
'_get_types': 'func._get_types',
+ 'from_buffer': 'func.from_buffer',
'string': 'func.string',
'buffer': 'cbuffer.buffer',
diff --git a/pypy/module/_cffi_backend/cdataobj.py
b/pypy/module/_cffi_backend/cdataobj.py
--- a/pypy/module/_cffi_backend/cdataobj.py
+++ b/pypy/module/_cffi_backend/cdataobj.py
@@ -440,6 +440,25 @@
return "handle to %s" % (self.space.str_w(w_repr),)
+class W_CDataFromBuffer(W_CData):
+ _attrs_ = ['buf', 'length', 'w_keepalive']
+ _immutable_fields_ = ['buf', 'length', 'w_keepalive']
+
+ def __init__(self, space, cdata, ctype, buf, w_object):
+ W_CData.__init__(self, space, cdata, ctype)
+ self.buf = buf
+ self.length = buf.getlength()
+ self.w_keepalive = w_object
+
+ def get_array_length(self):
+ return self.length
+
+ def _repr_extra(self):
+ w_repr = self.space.repr(self.w_keepalive)
+ return "buffer len %d from '%s' object" % (
+ self.length, self.space.type(self.w_keepalive).name)
+
+
W_CData.typedef = TypeDef(
'_cffi_backend.CData',
__module__ = '_cffi_backend',
diff --git a/pypy/module/_cffi_backend/func.py
b/pypy/module/_cffi_backend/func.py
--- a/pypy/module/_cffi_backend/func.py
+++ b/pypy/module/_cffi_backend/func.py
@@ -76,3 +76,32 @@
def _get_types(space):
return space.newtuple([space.gettypefor(cdataobj.W_CData),
space.gettypefor(ctypeobj.W_CType)])
+
+# ____________________________________________________________
+
+@unwrap_spec(w_ctype=ctypeobj.W_CType)
+def from_buffer(space, w_ctype, w_x):
+ from pypy.module._cffi_backend import ctypearray, ctypeprim
+ #
+ if (not isinstance(w_ctype, ctypearray.W_CTypeArray) or
+ not isinstance(w_ctype.ctptr.ctitem, ctypeprim.W_CTypePrimitiveChar)):
+ raise oefmt(space.w_TypeError,
+ "needs 'char[]', got '%s'", w_ctype.name)
+ #
+ # xxx do we really need to implement the same mess as in CPython 2.7
+ # w.r.t. buffers and memoryviews??
+ try:
+ buf = space.readbuf_w(w_x)
+ except OperationError, e:
+ if not e.match(space, space.w_TypeError):
+ raise
+ buf = space.buffer_w(w_x, space.BUF_SIMPLE)
+ try:
+ _cdata = buf.get_raw_address()
+ except ValueError:
+ raise oefmt(space.w_TypeError,
+ "from_buffer() got a '%T' object, which supports the "
+ "buffer interface but cannot be rendered as a plain "
+ "raw address on PyPy", w_x)
+ #
+ return cdataobj.W_CDataFromBuffer(space, _cdata, w_ctype, buf, w_x)
diff --git a/pypy/module/_cffi_backend/newtype.py
b/pypy/module/_cffi_backend/newtype.py
--- a/pypy/module/_cffi_backend/newtype.py
+++ b/pypy/module/_cffi_backend/newtype.py
@@ -62,10 +62,54 @@
eptype("intptr_t", rffi.INTPTR_T, ctypeprim.W_CTypePrimitiveSigned)
eptype("uintptr_t", rffi.UINTPTR_T, ctypeprim.W_CTypePrimitiveUnsigned)
-eptype("ptrdiff_t", rffi.INTPTR_T, ctypeprim.W_CTypePrimitiveSigned) # <-xxx
eptype("size_t", rffi.SIZE_T, ctypeprim.W_CTypePrimitiveUnsigned)
eptype("ssize_t", rffi.SSIZE_T, ctypeprim.W_CTypePrimitiveSigned)
+_WCTSigned = ctypeprim.W_CTypePrimitiveSigned
+_WCTUnsign = ctypeprim.W_CTypePrimitiveUnsigned
+
+eptype("ptrdiff_t", getattr(rffi, 'PTRDIFF_T', rffi.INTPTR_T), _WCTSigned)
+eptype("intmax_t", getattr(rffi, 'INTMAX_T', rffi.LONGLONG), _WCTSigned)
+eptype("uintmax_t", getattr(rffi, 'UINTMAX_T', rffi.LONGLONG), _WCTUnsign)
+
+if hasattr(rffi, 'INT_LEAST8_T'):
+ eptype("int_least8_t", rffi.INT_LEAST8_T, _WCTSigned)
+ eptype("int_least16_t", rffi.INT_LEAST16_T, _WCTSigned)
+ eptype("int_least32_t", rffi.INT_LEAST32_T, _WCTSigned)
+ eptype("int_least64_t", rffi.INT_LEAST64_T, _WCTSigned)
+ eptype("uint_least8_t", rffi.UINT_LEAST8_T, _WCTUnsign)
+ eptype("uint_least16_t",rffi.UINT_LEAST16_T, _WCTUnsign)
+ eptype("uint_least32_t",rffi.UINT_LEAST32_T, _WCTUnsign)
+ eptype("uint_least64_t",rffi.UINT_LEAST64_T, _WCTUnsign)
+else:
+ eptypesize("int_least8_t", 1, _WCTSigned)
+ eptypesize("uint_least8_t", 1, _WCTUnsign)
+ eptypesize("int_least16_t", 2, _WCTSigned)
+ eptypesize("uint_least16_t", 2, _WCTUnsign)
+ eptypesize("int_least32_t", 4, _WCTSigned)
+ eptypesize("uint_least32_t", 4, _WCTUnsign)
+ eptypesize("int_least64_t", 8, _WCTSigned)
+ eptypesize("uint_least64_t", 8, _WCTUnsign)
+
+if hasattr(rffi, 'INT_FAST8_T'):
+ eptype("int_fast8_t", rffi.INT_FAST8_T, _WCTSigned)
+ eptype("int_fast16_t", rffi.INT_FAST16_T, _WCTSigned)
+ eptype("int_fast32_t", rffi.INT_FAST32_T, _WCTSigned)
+ eptype("int_fast64_t", rffi.INT_FAST64_T, _WCTSigned)
+ eptype("uint_fast8_t", rffi.UINT_FAST8_T, _WCTUnsign)
+ eptype("uint_fast16_t",rffi.UINT_FAST16_T, _WCTUnsign)
+ eptype("uint_fast32_t",rffi.UINT_FAST32_T, _WCTUnsign)
+ eptype("uint_fast64_t",rffi.UINT_FAST64_T, _WCTUnsign)
+else:
+ eptypesize("int_fast8_t", 1, _WCTSigned)
+ eptypesize("uint_fast8_t", 1, _WCTUnsign)
+ eptypesize("int_fast16_t", 2, _WCTSigned)
+ eptypesize("uint_fast16_t", 2, _WCTUnsign)
+ eptypesize("int_fast32_t", 4, _WCTSigned)
+ eptypesize("uint_fast32_t", 4, _WCTUnsign)
+ eptypesize("int_fast64_t", 8, _WCTSigned)
+ eptypesize("uint_fast64_t", 8, _WCTUnsign)
+
@unwrap_spec(name=str)
def new_primitive_type(space, name):
try:
diff --git a/pypy/module/_cffi_backend/test/_backend_test_c.py
b/pypy/module/_cffi_backend/test/_backend_test_c.py
--- a/pypy/module/_cffi_backend/test/_backend_test_c.py
+++ b/pypy/module/_cffi_backend/test/_backend_test_c.py
@@ -397,7 +397,7 @@
def test_invalid_indexing():
p = new_primitive_type("int")
x = cast(p, 42)
- py.test.raises(TypeError, "p[0]")
+ py.test.raises(TypeError, "x[0]")
def test_default_str():
BChar = new_primitive_type("char")
@@ -2718,7 +2718,16 @@
def test_nonstandard_integer_types():
for typename in ['int8_t', 'uint8_t', 'int16_t', 'uint16_t', 'int32_t',
'uint32_t', 'int64_t', 'uint64_t', 'intptr_t',
- 'uintptr_t', 'ptrdiff_t', 'size_t', 'ssize_t']:
+ 'uintptr_t', 'ptrdiff_t', 'size_t', 'ssize_t',
+ 'int_least8_t', 'uint_least8_t',
+ 'int_least16_t', 'uint_least16_t',
+ 'int_least32_t', 'uint_least32_t',
+ 'int_least64_t', 'uint_least64_t',
+ 'int_fast8_t', 'uint_fast8_t',
+ 'int_fast16_t', 'uint_fast16_t',
+ 'int_fast32_t', 'uint_fast32_t',
+ 'int_fast64_t', 'uint_fast64_t',
+ 'intmax_t', 'uintmax_t']:
new_primitive_type(typename) # works
def test_cannot_convert_unicode_to_charp():
@@ -3186,6 +3195,20 @@
('a2', BChar, 5)],
None, -1, -1, SF_PACKED)
+def test_from_buffer():
+ import array
+ a = array.array('H', [10000, 20000, 30000])
+ BChar = new_primitive_type("char")
+ BCharP = new_pointer_type(BChar)
+ BCharA = new_array_type(BCharP, None)
+ c = from_buffer(BCharA, a)
+ assert typeof(c) is BCharA
+ assert len(c) == 6
+ assert repr(c) == "<cdata 'char[]' buffer len 6 from 'array.array' object>"
+ p = new_pointer_type(new_primitive_type("unsigned short"))
+ cast(p, c)[1] += 500
+ assert list(a) == [10000, 20500, 30000]
+
def test_version():
# this test is here mostly for PyPy
assert __version__ == "0.8.6"
diff --git a/pypy/module/_cffi_backend/test/test_c.py
b/pypy/module/_cffi_backend/test/test_c.py
--- a/pypy/module/_cffi_backend/test/test_c.py
+++ b/pypy/module/_cffi_backend/test/test_c.py
@@ -31,7 +31,7 @@
class AppTestC(object):
"""Populated below, hack hack hack."""
- spaceconfig = dict(usemodules=('_cffi_backend', '_io'))
+ spaceconfig = dict(usemodules=('_cffi_backend', '_io', 'array'))
def setup_class(cls):
testfuncs_w = []
diff --git a/pypy/module/_io/interp_bufferedio.py
b/pypy/module/_io/interp_bufferedio.py
--- a/pypy/module/_io/interp_bufferedio.py
+++ b/pypy/module/_io/interp_bufferedio.py
@@ -564,7 +564,7 @@
# Flush the write buffer if necessary
if self.writable:
- self._writer_flush_unlocked(space)
+ self._flush_and_rewind_unlocked(space)
self._reader_reset_buf()
# Read whole blocks, and don't buffer them
diff --git a/pypy/module/_io/test/test_io.py b/pypy/module/_io/test/test_io.py
--- a/pypy/module/_io/test/test_io.py
+++ b/pypy/module/_io/test/test_io.py
@@ -400,3 +400,32 @@
f.read(1)
f.seek(-1, 1)
f.write(b'')
+
+ def test_issue1902_2(self):
+ import _io
+ with _io.open(self.tmpfile, 'w+b', 4096) as f:
+ f.write(b'\xff' * 13569)
+ f.flush()
+ f.seek(0, 0)
+
+ f.read(1)
+ f.seek(-1, 1)
+ f.write(b'\xff')
+ f.seek(1, 0)
+ f.read(4123)
+ f.seek(-4123, 1)
+
+ def test_issue1902_3(self):
+ import _io
+ buffer_size = 4096
+ with _io.open(self.tmpfile, 'w+b', buffer_size) as f:
+ f.write(b'\xff' * buffer_size * 3)
+ f.flush()
+ f.seek(0, 0)
+
+ f.read(1)
+ f.seek(-1, 1)
+ f.write(b'\xff')
+ f.seek(1, 0)
+ f.read(buffer_size * 2)
+ assert f.tell() == 1 + buffer_size * 2
diff --git a/pypy/module/_rawffi/alt/interp_funcptr.py
b/pypy/module/_rawffi/alt/interp_funcptr.py
--- a/pypy/module/_rawffi/alt/interp_funcptr.py
+++ b/pypy/module/_rawffi/alt/interp_funcptr.py
@@ -14,6 +14,7 @@
from rpython.rlib.objectmodel import we_are_translated
from pypy.module._rawffi.alt.type_converter import FromAppLevelConverter,
ToAppLevelConverter
from pypy.module._rawffi.interp_rawffi import got_libffi_error,
wrap_dlopenerror
+from pypy.module._rawffi import lasterror
import os
if os.name == 'nt':
@@ -202,11 +203,23 @@
self.func = func
self.argchain = argchain
+ def before(self):
+ lasterror.restore_last_error(self.space)
+
+ def after(self):
+ lasterror.save_last_error(self.space)
+
def get_longlong(self, w_ffitype):
- return self.func.call(self.argchain, rffi.LONGLONG)
+ self.before()
+ x = self.func.call(self.argchain, rffi.LONGLONG)
+ self.after()
+ return x
def get_ulonglong(self, w_ffitype):
- return self.func.call(self.argchain, rffi.ULONGLONG)
+ self.before()
+ x = self.func.call(self.argchain, rffi.ULONGLONG)
+ self.after()
+ return x
def get_signed(self, w_ffitype):
# if the declared return type of the function is smaller than LONG,
@@ -217,64 +230,94 @@
# to space.wrap in order to get a nice applevel <int>.
#
restype = w_ffitype.get_ffitype()
+ self.before()
call = self.func.call
if restype is libffi.types.slong:
- return call(self.argchain, rffi.LONG)
+ x = call(self.argchain, rffi.LONG)
elif restype is libffi.types.sint:
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.INT))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.INT))
elif restype is libffi.types.sshort:
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.SHORT))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.SHORT))
elif restype is libffi.types.schar:
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.SIGNEDCHAR))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.SIGNEDCHAR))
else:
- self.error(w_ffitype)
+ raise self.error(w_ffitype)
+ self.after()
+ return x
def get_unsigned(self, w_ffitype):
- return self.func.call(self.argchain, rffi.ULONG)
+ self.before()
+ x = self.func.call(self.argchain, rffi.ULONG)
+ self.after()
+ return x
def get_unsigned_which_fits_into_a_signed(self, w_ffitype):
# the same comment as get_signed apply
restype = w_ffitype.get_ffitype()
+ self.before()
call = self.func.call
if restype is libffi.types.uint:
assert not libffi.IS_32_BIT
# on 32bit machines, we should never get here, because it's a case
# which has already been handled by get_unsigned above.
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.UINT))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.UINT))
elif restype is libffi.types.ushort:
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.USHORT))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.USHORT))
elif restype is libffi.types.uchar:
- return rffi.cast(rffi.LONG, call(self.argchain, rffi.UCHAR))
+ x = rffi.cast(rffi.LONG, call(self.argchain, rffi.UCHAR))
else:
- self.error(w_ffitype)
+ raise self.error(w_ffitype)
+ self.after()
+ return x
def get_pointer(self, w_ffitype):
+ self.before()
ptrres = self.func.call(self.argchain, rffi.VOIDP)
+ self.after()
return rffi.cast(rffi.ULONG, ptrres)
def get_char(self, w_ffitype):
- return self.func.call(self.argchain, rffi.UCHAR)
+ self.before()
+ x = self.func.call(self.argchain, rffi.UCHAR)
+ self.after()
+ return x
def get_unichar(self, w_ffitype):
- return self.func.call(self.argchain, rffi.WCHAR_T)
+ self.before()
+ x = self.func.call(self.argchain, rffi.WCHAR_T)
+ self.after()
+ return x
def get_float(self, w_ffitype):
- return self.func.call(self.argchain, rffi.DOUBLE)
+ self.before()
+ x = self.func.call(self.argchain, rffi.DOUBLE)
+ self.after()
+ return x
def get_singlefloat(self, w_ffitype):
- return self.func.call(self.argchain, rffi.FLOAT)
+ self.before()
+ x = self.func.call(self.argchain, rffi.FLOAT)
+ self.after()
+ return x
def get_struct(self, w_ffitype, w_structdescr):
+ self.before()
addr = self.func.call(self.argchain, rffi.LONG, is_struct=True)
+ self.after()
return w_structdescr.fromaddress(self.space, addr)
def get_struct_rawffi(self, w_ffitype, w_structdescr):
+ self.before()
uintval = self.func.call(self.argchain, rffi.ULONG, is_struct=True)
+ self.after()
return w_structdescr.fromaddress(self.space, uintval)
def get_void(self, w_ffitype):
- return self.func.call(self.argchain, lltype.Void)
+ self.before()
+ x = self.func.call(self.argchain, lltype.Void)
+ self.after()
+ return x
def unpack_argtypes(space, w_argtypes, w_restype):
diff --git a/pypy/module/_rawffi/buffer.py b/pypy/module/_rawffi/buffer.py
--- a/pypy/module/_rawffi/buffer.py
+++ b/pypy/module/_rawffi/buffer.py
@@ -1,4 +1,5 @@
from rpython.rlib.buffer import Buffer
+from rpython.rtyper.lltypesystem import rffi
# XXX not the most efficient implementation
@@ -20,3 +21,7 @@
def setitem(self, index, char):
ll_buffer = self.datainstance.ll_buffer
ll_buffer[index] = char
+
+ def get_raw_address(self):
+ ll_buffer = self.datainstance.ll_buffer
+ return rffi.cast(rffi.CCHARP, ll_buffer)
diff --git a/pypy/module/_rawffi/interp_rawffi.py
b/pypy/module/_rawffi/interp_rawffi.py
--- a/pypy/module/_rawffi/interp_rawffi.py
+++ b/pypy/module/_rawffi/interp_rawffi.py
@@ -20,6 +20,7 @@
from rpython.rlib.rarithmetic import intmask, r_uint
from pypy.module._rawffi.buffer import RawFFIBuffer
from pypy.module._rawffi.tracker import tracker
+from pypy.module._rawffi import lasterror
TYPEMAP = {
# XXX A mess with unsigned/signed/normal chars :-/
@@ -498,10 +499,14 @@
try:
if self.resshape is not None:
result = self.resshape.allocate(space, 1, autofree=True)
+ lasterror.restore_last_error(space)
self.ptr.call(args_ll, result.ll_buffer)
+ lasterror.save_last_error(space)
return space.wrap(result)
else:
+ lasterror.restore_last_error(space)
self.ptr.call(args_ll, lltype.nullptr(rffi.VOIDP.TO))
+ lasterror.save_last_error(space)
return space.w_None
except StackCheckError, e:
raise OperationError(space.w_ValueError, space.wrap(e.message))
@@ -618,12 +623,10 @@
if sys.platform == 'win32':
def get_last_error(space):
- from rpython.rlib.rwin32 import GetLastError
- return space.wrap(GetLastError())
+ return space.wrap(lasterror.fetch_last_error(space))
@unwrap_spec(error=int)
def set_last_error(space, error):
- from rpython.rlib.rwin32 import SetLastError
- SetLastError(error)
+ lasterror.store_last_error(space, error)
else:
# always have at least a dummy version of these functions
# (https://bugs.pypy.org/issue1242)
diff --git a/pypy/module/_rawffi/lasterror.py b/pypy/module/_rawffi/lasterror.py
new file mode 100644
--- /dev/null
+++ b/pypy/module/_rawffi/lasterror.py
@@ -0,0 +1,40 @@
+# For Windows only.
+# https://bitbucket.org/pypy/pypy/issue/1944/ctypes-on-windows-getlasterror
+
+import os
+
+_MS_WINDOWS = os.name == "nt"
+
+
+if _MS_WINDOWS:
+ from rpython.rlib import rwin32
+ from pypy.interpreter.executioncontext import ExecutionContext
+
+
+ ExecutionContext._rawffi_last_error = 0
+
+ def fetch_last_error(space):
+ ec = space.getexecutioncontext()
+ return ec._rawffi_last_error
+
+ def store_last_error(space, last_error):
+ ec = space.getexecutioncontext()
+ ec._rawffi_last_error = last_error
+
+ def restore_last_error(space):
+ ec = space.getexecutioncontext()
+ lasterror = ec._rawffi_last_error
+ rwin32.SetLastError(lasterror)
+
+ def save_last_error(space):
+ lasterror = rwin32.GetLastError()
+ ec = space.getexecutioncontext()
+ ec._rawffi_last_error = lasterror
+
+else:
+
+ def restore_last_error(space):
+ pass
+
+ def save_last_error(space):
+ pass
diff --git a/pypy/module/_rawffi/test/test__rawffi.py
b/pypy/module/_rawffi/test/test__rawffi.py
--- a/pypy/module/_rawffi/test/test__rawffi.py
+++ b/pypy/module/_rawffi/test/test__rawffi.py
@@ -16,6 +16,7 @@
#include "src/precommondefs.h"
#include <stdlib.h>
#include <stdio.h>
+ #include <errno.h>
struct x
{
@@ -204,6 +205,24 @@
return inp;
}
+ RPY_EXPORTED
+ int check_errno(int incoming)
+ {
+ int old_errno = errno;
+ errno = incoming;
+ return old_errno;
+ }
+
+ #ifdef _WIN32
+ #include <Windows.h>
+ RPY_EXPORTED
+ int check_last_error(int incoming)
+ {
+ int old_errno = GetLastError();
+ SetLastError(incoming);
+ return old_errno;
+ }
+ #endif
'''))
eci = ExternalCompilationInfo(include_dirs=[cdir])
return str(platform.compile([c_file], eci, 'x', standalone=False))
@@ -1118,6 +1137,15 @@
b[3] = b'x'
assert b[3] == b'x'
+ def test_pypy_raw_address(self):
+ import _rawffi
+ S = _rawffi.Structure((40, 1))
+ s = S(autofree=True)
+ addr = buffer(s)._pypy_raw_address()
+ assert type(addr) is int
+ assert buffer(s)._pypy_raw_address() == addr
+ assert buffer(s, 10)._pypy_raw_address() == addr + 10
+
def test_union(self):
import _rawffi
longsize = _rawffi.sizeof('l')
@@ -1143,6 +1171,37 @@
raises(OverflowError, "arg1[0] = 10**900")
arg1.free()
+ def test_errno(self):
+ import _rawffi
+ lib = _rawffi.CDLL(self.lib_name)
+ A = _rawffi.Array('i')
+ f = lib.ptr('check_errno', ['i'], 'i')
+ _rawffi.set_errno(42)
+ arg = A(1)
+ arg[0] = 43
+ res = f(arg)
+ assert res[0] == 42
+ z = _rawffi.get_errno()
+ assert z == 43
+ arg.free()
+
+ def test_last_error(self):
+ import sys
+ if sys.platform != 'win32':
+ skip("Windows test")
+ import _rawffi
+ lib = _rawffi.CDLL(self.lib_name)
+ A = _rawffi.Array('i')
+ f = lib.ptr('check_last_error', ['i'], 'i')
+ _rawffi.set_last_error(42)
+ arg = A(1)
+ arg[0] = 43
+ res = f(arg)
+ assert res[0] == 42
+ z = _rawffi.get_last_error()
+ assert z == 43
+ arg.free()
+
def test_char_array_int(self):
import _rawffi
A = _rawffi.Array('c')
diff --git a/pypy/module/_ssl/interp_ssl.py b/pypy/module/_ssl/interp_ssl.py
--- a/pypy/module/_ssl/interp_ssl.py
+++ b/pypy/module/_ssl/interp_ssl.py
@@ -55,7 +55,8 @@
if not OPENSSL_NO_SSL2:
constants["PROTOCOL_SSLv2"] = PY_SSL_VERSION_SSL2
-constants["PROTOCOL_SSLv3"] = PY_SSL_VERSION_SSL3
+if not OPENSSL_NO_SSL3:
+ constants["PROTOCOL_SSLv3"] = PY_SSL_VERSION_SSL3
constants["PROTOCOL_SSLv23"] = PY_SSL_VERSION_SSL23
constants["PROTOCOL_TLSv1"] = PY_SSL_VERSION_TLS1
@@ -95,7 +96,7 @@
def __init__(self, space, protocol):
if protocol == PY_SSL_VERSION_TLS1:
method = libssl_TLSv1_method()
- elif protocol == PY_SSL_VERSION_SSL3:
+ elif protocol == PY_SSL_VERSION_SSL3 and not OPENSSL_NO_SSL3:
method = libssl_SSLv3_method()
elif protocol == PY_SSL_VERSION_SSL2 and not OPENSSL_NO_SSL2:
method = libssl_SSLv2_method()
diff --git a/pypy/module/cpyext/frameobject.py
b/pypy/module/cpyext/frameobject.py
--- a/pypy/module/cpyext/frameobject.py
+++ b/pypy/module/cpyext/frameobject.py
@@ -58,7 +58,7 @@
w_globals = from_ref(space, py_frame.c_f_globals)
frame = space.FrameClass(space, code, w_globals, outer_func=None)
- frame.f_lineno = py_frame.c_f_lineno
+ frame.f_lineno = rffi.getintfield(py_frame, 'c_f_lineno')
w_obj = space.wrap(frame)
track_reference(space, py_obj, w_obj)
return w_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
@@ -244,6 +244,9 @@
def getitem(self, index):
return self.ptr[index]
+ def get_raw_address(self):
+ return rffi.cast(rffi.CCHARP, self.ptr)
+
def wrap_getbuffer(space, w_self, w_args, func):
func_target = rffi.cast(getbufferproc, func)
with lltype.scoped_alloc(Py_buffer) as view:
diff --git a/pypy/module/gc/__init__.py b/pypy/module/gc/__init__.py
--- a/pypy/module/gc/__init__.py
+++ b/pypy/module/gc/__init__.py
@@ -30,6 +30,7 @@
'get_referrers': 'referents.get_referrers',
'_dump_rpy_heap': 'referents._dump_rpy_heap',
'get_typeids_z': 'referents.get_typeids_z',
+ 'get_typeids_list': 'referents.get_typeids_list',
'GcRef': 'referents.W_GcRef',
})
MixedModule.__init__(self, space, w_name)
diff --git a/pypy/module/gc/app_referents.py b/pypy/module/gc/app_referents.py
--- a/pypy/module/gc/app_referents.py
+++ b/pypy/module/gc/app_referents.py
@@ -16,7 +16,8 @@
[0][0][0][-1] inserted after all GC roots, before all non-roots.
If the argument is a filename and the 'zlib' module is available,
- we also write a 'typeids.txt' in the same directory, if none exists.
+ we also write 'typeids.txt' and 'typeids.lst' in the same directory,
+ if they don't already exist.
"""
if isinstance(file, str):
f = open(file, 'wb')
@@ -30,7 +31,13 @@
filename2 = os.path.join(os.path.dirname(file), 'typeids.txt')
if not os.path.exists(filename2):
data = zlib.decompress(gc.get_typeids_z())
- f = open(filename2, 'wb')
+ f = open(filename2, 'w')
+ f.write(data)
+ f.close()
+ filename2 = os.path.join(os.path.dirname(file), 'typeids.lst')
+ if not os.path.exists(filename2):
+ data = ''.join(['%d\n' % n for n in gc.get_typeids_list()])
+ f = open(filename2, 'w')
f.write(data)
f.close()
else:
diff --git a/pypy/module/gc/referents.py b/pypy/module/gc/referents.py
--- a/pypy/module/gc/referents.py
+++ b/pypy/module/gc/referents.py
@@ -228,3 +228,8 @@
a = rgc.get_typeids_z()
s = ''.join([a[i] for i in range(len(a))])
return space.wrap(s)
+
+def get_typeids_list(space):
+ l = rgc.get_typeids_list()
+ list_w = [space.wrap(l[i]) for i in range(len(l))]
+ return space.newlist(list_w)
diff --git a/pypy/module/micronumpy/base.py b/pypy/module/micronumpy/base.py
--- a/pypy/module/micronumpy/base.py
+++ b/pypy/module/micronumpy/base.py
@@ -1,7 +1,7 @@
from pypy.interpreter.baseobjspace import W_Root
-from pypy.interpreter.error import OperationError
+from pypy.interpreter.error import OperationError, oefmt
from rpython.tool.pairtype import extendabletype
-
+from pypy.module.micronumpy import support
def wrap_impl(space, w_cls, w_instance, impl):
if w_cls is None or space.is_w(w_cls, space.gettypefor(W_NDimArray)):
@@ -44,11 +44,32 @@
return W_NDimArray(impl)
@staticmethod
- def from_shape_and_storage(space, shape, storage, dtype, order='C',
owning=False,
- w_subtype=None, w_base=None, writable=True):
+ def from_shape_and_storage(space, shape, storage, dtype, storage_bytes=-1,
+ order='C', owning=False, w_subtype=None,
+ w_base=None, writable=True, strides=None):
from pypy.module.micronumpy import concrete
- from pypy.module.micronumpy.strides import calc_strides
- strides, backstrides = calc_strides(shape, dtype, order)
+ from pypy.module.micronumpy.strides import (calc_strides,
+ calc_backstrides)
+ isize = dtype.elsize
+ if storage_bytes > 0 :
+ totalsize = support.product(shape) * isize
+ if totalsize > storage_bytes:
+ raise OperationError(space.w_TypeError, space.wrap(
+ "buffer is too small for requested array"))
+ else:
+ storage_bytes = support.product(shape) * isize
+ if strides is None:
+ strides, backstrides = calc_strides(shape, dtype, order)
+ else:
+ if len(strides) != len(shape):
+ raise oefmt(space.w_ValueError,
+ 'strides, if given, must be the same length as shape')
+ for i in range(len(strides)):
+ if strides[i] < 0 or strides[i]*shape[i] > storage_bytes:
+ raise oefmt(space.w_ValueError,
+ 'strides is incompatible with shape of requested '
+ 'array and size of buffer')
+ backstrides = calc_backstrides(strides, shape)
if w_base is not None:
if owning:
raise OperationError(space.w_ValueError,
diff --git a/pypy/module/micronumpy/boxes.py b/pypy/module/micronumpy/boxes.py
--- a/pypy/module/micronumpy/boxes.py
+++ b/pypy/module/micronumpy/boxes.py
@@ -59,9 +59,9 @@
_mixin_ = True
def reduce(self, space):
- numpypy = space.getbuiltinmodule("_numpypy")
- assert isinstance(numpypy, MixedModule)
- multiarray = numpypy.get("multiarray")
+ _numpypy = space.getbuiltinmodule("_numpypy")
+ assert isinstance(_numpypy, MixedModule)
+ multiarray = _numpypy.get("multiarray")
assert isinstance(multiarray, MixedModule)
scalar = multiarray.get("scalar")
@@ -167,7 +167,7 @@
if len(args_w) >= 1:
for w_arg in args_w:
try:
- idx = support.index_w(space, w_arg)
+ support.index_w(space, w_arg)
except OperationError:
raise oefmt(space.w_TypeError, "an integer is required")
raise oefmt(space.w_ValueError, "axes don't match array")
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
@@ -34,8 +34,8 @@
SINGLE_ARG_FUNCTIONS = ["sum", "prod", "max", "min", "all", "any",
- "unegative", "flat", "tostring","count_nonzero",
- "argsort"]
+ "unegative", "flat", "tostring", "count_nonzero",
+ "argsort", "cumsum", "logical_xor_reduce"]
TWO_ARG_FUNCTIONS = ["dot", 'take', 'searchsorted']
TWO_ARG_FUNCTIONS_OR_NONE = ['view', 'astype']
THREE_ARG_FUNCTIONS = ['where']
@@ -559,6 +559,11 @@
w_res = arr.descr_any(interp.space)
elif self.name == "all":
w_res = arr.descr_all(interp.space)
+ elif self.name == "cumsum":
+ w_res = arr.descr_cumsum(interp.space)
+ elif self.name == "logical_xor_reduce":
+ logical_xor = ufuncs.get(interp.space).logical_xor
+ 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])
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
@@ -11,7 +11,7 @@
from pypy.module.micronumpy.iterators import ArrayIter
from pypy.module.micronumpy.strides import (Chunk, Chunks, NewAxisChunk,
RecordChunk, calc_strides, calc_new_strides, shape_agreement,
- calculate_broadcast_strides)
+ calculate_broadcast_strides, calc_backstrides)
class BaseConcreteArray(object):
@@ -79,10 +79,7 @@
self.get_strides(), self.order)
if new_strides is not None:
# We can create a view, strides somehow match up.
- ndims = len(new_shape)
- new_backstrides = [0] * ndims
- for nd in range(ndims):
- new_backstrides[nd] = (new_shape[nd] - 1) * new_strides[nd]
+ new_backstrides = calc_backstrides(new_strides, new_shape)
assert isinstance(orig_array, W_NDimArray) or orig_array is None
return SliceArray(self.start, new_strides, new_backstrides,
new_shape, self, orig_array)
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
@@ -302,5 +302,5 @@
return a
else:
writable = not buf.readonly
- return W_NDimArray.from_shape_and_storage(space, [n], storage, dtype=dtype,
- w_base=w_buffer,
writable=writable)
+ return W_NDimArray.from_shape_and_storage(space, [n], storage,
storage_bytes=s,
+ dtype=dtype, w_base=w_buffer,
writable=writable)
diff --git a/pypy/module/micronumpy/descriptor.py
b/pypy/module/micronumpy/descriptor.py
--- a/pypy/module/micronumpy/descriptor.py
+++ b/pypy/module/micronumpy/descriptor.py
@@ -286,7 +286,6 @@
def descr_hash(self, space):
return space.wrap(self._compute_hash(space, 0x345678))
-
def descr_str(self, space):
if self.fields:
return space.str(self.descr_get_descr(space))
@@ -394,7 +393,7 @@
alignment = space.int_w(space.getitem(w_data, space.wrap(6)))
if (w_names == space.w_None) != (w_fields == space.w_None):
- raise oefmt(space.w_ValueError, "inconsistent fields and names")
+ raise oefmt(space.w_ValueError, "inconsistent fields and names in
Numpy dtype unpickling")
self.byteorder = endian
self.shape = []
diff --git a/pypy/module/micronumpy/flagsobj.py
b/pypy/module/micronumpy/flagsobj.py
--- a/pypy/module/micronumpy/flagsobj.py
+++ b/pypy/module/micronumpy/flagsobj.py
@@ -1,47 +1,30 @@
+from rpython.rlib import jit
+
from pypy.interpreter.baseobjspace import W_Root
from pypy.interpreter.error import OperationError
from pypy.interpreter.gateway import interp2app
from pypy.interpreter.typedef import TypeDef, GetSetProperty
from pypy.module.micronumpy import constants as NPY
-
+from pypy.module.micronumpy.strides import is_c_contiguous, is_f_contiguous
def enable_flags(arr, flags):
arr.flags |= flags
-
def clear_flags(arr, flags):
arr.flags &= ~flags
-
def _update_contiguous_flags(arr):
- shape = arr.shape
- strides = arr.strides
-
- is_c_contig = True
- sd = arr.dtype.elsize
- for i in range(len(shape) - 1, -1, -1):
- dim = shape[i]
- if strides[i] != sd:
- is_c_contig = False
- break
- if dim == 0:
- break
- sd *= dim
+ is_c_contig = is_c_contiguous(arr)
if is_c_contig:
enable_flags(arr, NPY.ARRAY_C_CONTIGUOUS)
else:
clear_flags(arr, NPY.ARRAY_C_CONTIGUOUS)
- sd = arr.dtype.elsize
- for i in range(len(shape)):
- dim = shape[i]
- if strides[i] != sd:
- clear_flags(arr, NPY.ARRAY_F_CONTIGUOUS)
- return
- if dim == 0:
- break
- sd *= dim
- enable_flags(arr, NPY.ARRAY_F_CONTIGUOUS)
+ is_f_contig = is_f_contiguous(arr)
+ if is_f_contig:
+ enable_flags(arr, NPY.ARRAY_F_CONTIGUOUS)
+ else:
+ clear_flags(arr, NPY.ARRAY_F_CONTIGUOUS)
class W_FlagsObject(W_Root):
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
@@ -22,6 +22,9 @@
def get_shape(self):
return self.shape
+ def get_size(self):
+ return self.base().get_size()
+
def create_iter(self, shape=None, backward_broadcast=False):
assert isinstance(self.base(), W_NDimArray)
return self.base().create_iter()
@@ -41,8 +44,8 @@
return space.wrap(self.state.index)
def descr_coords(self, space):
- self.state = self.iter.update(self.state)
- return space.newtuple([space.wrap(c) for c in self.state.indices])
+ coords = self.iter.indices(self.state)
+ return space.newtuple([space.wrap(c) for c in coords])
def descr_iter(self):
return self
@@ -54,7 +57,7 @@
if self.iter.done(self.state):
raise OperationError(space.w_StopIteration, space.w_None)
w_res = self.iter.getitem(self.state)
- self.state = self.iter.next(self.state)
+ self.iter.next(self.state, mutate=True)
return w_res
def descr_getitem(self, space, w_idx):
@@ -71,7 +74,7 @@
base.get_order(), w_instance=base)
return loop.flatiter_getitem(res, self.iter, state, step)
finally:
- self.state = self.iter.reset(self.state)
+ self.iter.reset(self.state, mutate=True)
def descr_setitem(self, space, w_idx, w_value):
if not (space.isinstance_w(w_idx, space.w_int) or
@@ -91,7 +94,7 @@
arr = convert_to_array(space, w_value)
loop.flatiter_setitem(space, dtype, arr, self.iter, state, step,
length)
finally:
- self.state = self.iter.reset(self.state)
+ self.iter.reset(self.state, mutate=True)
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
@@ -41,16 +41,6 @@
from pypy.module.micronumpy.base import W_NDimArray
from pypy.module.micronumpy.flagsobj import _update_contiguous_flags
-class OpFlag(object):
- def __init__(self):
- self.rw = ''
- self.broadcast = True
- self.force_contig = False
- self.force_align = False
- self.native_byte_order = False
- self.tmp_copy = ''
- self.allocate = False
-
class PureShapeIter(object):
def __init__(self, shape, idx_w):
@@ -87,25 +77,24 @@
class IterState(object):
- _immutable_fields_ = ['iterator', 'index', 'indices', 'offset']
+ _immutable_fields_ = ['iterator', '_indices']
def __init__(self, iterator, index, indices, offset):
self.iterator = iterator
self.index = index
- self.indices = indices
+ self._indices = indices
self.offset = offset
class ArrayIter(object):
_immutable_fields_ = ['contiguous', 'array', 'size', 'ndim_m1',
'shape_m1[*]',
'strides[*]', 'backstrides[*]', 'factors[*]',
- 'slice_shape', 'slice_stride', 'slice_backstride',
- 'track_index', 'operand_type', 'slice_operand_type']
+ 'track_index']
track_index = True
- def __init__(self, array, size, shape, strides, backstrides,
op_flags=OpFlag()):
- from pypy.module.micronumpy import concrete
+ @jit.unroll_safe
+ def __init__(self, array, size, shape, strides, backstrides):
assert len(shape) == len(strides) == len(backstrides)
_update_contiguous_flags(array)
self.contiguous = (array.flags & NPY.ARRAY_C_CONTIGUOUS and
@@ -117,12 +106,6 @@
self.shape_m1 = [s - 1 for s in shape]
self.strides = strides
self.backstrides = backstrides
- self.slice_shape = 1
- self.slice_stride = -1
- if strides:
- self.slice_stride = strides[-1]
- self.slice_backstride = 1
- self.slice_operand_type = concrete.SliceArray
ndim = len(shape)
factors = [0] * ndim
@@ -132,32 +115,35 @@
else:
factors[ndim-i-1] = factors[ndim-i] * shape[ndim-i]
self.factors = factors
- if op_flags.rw == 'r':
- self.operand_type = concrete.ConcreteNonWritableArrayWithBase
- else:
- self.operand_type = concrete.ConcreteArrayWithBase
@jit.unroll_safe
- def reset(self, state=None):
+ def reset(self, state=None, mutate=False):
+ index = 0
if state is None:
indices = [0] * len(self.shape_m1)
else:
assert state.iterator is self
- indices = state.indices
+ indices = state._indices
for i in xrange(self.ndim_m1, -1, -1):
indices[i] = 0
- return IterState(self, 0, indices, self.array.start)
+ offset = self.array.start
+ if not mutate:
+ return IterState(self, index, indices, offset)
+ state.index = index
+ state.offset = offset
@jit.unroll_safe
- def next(self, state):
+ def next(self, state, mutate=False):
assert state.iterator is self
index = state.index
if self.track_index:
index += 1
- indices = state.indices[:]
+ indices = state._indices
offset = state.offset
if self.contiguous:
offset += self.array.dtype.elsize
+ elif self.ndim_m1 == 0:
+ offset += self.strides[0]
else:
for i in xrange(self.ndim_m1, -1, -1):
idx = indices[i]
@@ -168,13 +154,18 @@
else:
indices[i] = 0
offset -= self.backstrides[i]
- return IterState(self, index, indices, offset)
+ if not mutate:
+ return IterState(self, index, indices, offset)
+ state.index = index
+ state.offset = offset
@jit.unroll_safe
def goto(self, index):
offset = self.array.start
if self.contiguous:
offset += index * self.array.dtype.elsize
+ elif self.ndim_m1 == 0:
+ offset += index * self.strides[0]
else:
current = index
for i in xrange(len(self.shape_m1)):
@@ -183,20 +174,20 @@
return IterState(self, index, None, offset)
@jit.unroll_safe
- def update(self, state):
+ def indices(self, state):
assert state.iterator is self
assert self.track_index
- if not self.contiguous:
- return state
+ indices = state._indices
+ if not (self.contiguous or self.ndim_m1 == 0):
+ return indices
current = state.index
- indices = state.indices
for i in xrange(len(self.shape_m1)):
if self.factors[i] != 0:
indices[i] = current / self.factors[i]
current %= self.factors[i]
else:
indices[i] = 0
- return IterState(self, state.index, indices, state.offset)
+ return indices
def done(self, state):
assert state.iterator is self
@@ -215,12 +206,6 @@
assert state.iterator is self
self.array.setitem(state.offset, elem)
- def getoperand(self, st, base):
- impl = self.operand_type
- res = impl([], self.array.dtype, self.array.order, [], [],
- self.array.storage, base)
- res.start = st.offset
- return res
def AxisIter(array, shape, axis, cumulative):
strides = array.get_strides()
@@ -244,42 +229,3 @@
size /= shape[axis]
shape[axis] = backstrides[axis] = 0
return ArrayIter(array, size, shape, array.strides, backstrides)
-
-class SliceIter(ArrayIter):
- '''
- used with external loops, getitem and setitem return a SliceArray
- view into the original array
- '''
- _immutable_fields_ = ['base', 'slice_shape[*]', 'slice_stride[*]',
'slice_backstride[*]']
-
- def __init__(self, array, size, shape, strides, backstrides, slice_shape,
- slice_stride, slice_backstride, op_flags, base):
- from pypy.module.micronumpy import concrete
- ArrayIter.__init__(self, array, size, shape, strides, backstrides,
op_flags)
- self.slice_shape = slice_shape
- self.slice_stride = slice_stride
- self.slice_backstride = slice_backstride
- self.base = base
- if op_flags.rw == 'r':
- self.slice_operand_type = concrete.NonWritableSliceArray
- else:
- self.slice_operand_type = concrete.SliceArray
-
- def getitem(self, state):
- # XXX cannot be called - must return a boxed value
- assert False
-
- def getitem_bool(self, state):
- # XXX cannot be called - must return a boxed value
- assert False
-
- def setitem(self, state, elem):
- # XXX cannot be called - must return a boxed value
- assert False
-
- def getoperand(self, state, base):
- assert state.iterator is self
- impl = self.slice_operand_type
- arr = impl(state.offset, [self.slice_stride], [self.slice_backstride],
- [self.slice_shape], self.array, self.base)
- return arr
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
@@ -42,23 +42,38 @@
# TODO handle __array_priorities__ and maybe flip the order
+ if w_lhs.get_size() == 1:
+ w_left = w_lhs.get_scalar_value().convert_to(space, calc_dtype)
+ left_iter = left_state = None
+ else:
+ w_left = None
+ left_iter, left_state = w_lhs.create_iter(shape)
+ left_iter.track_index = False
+
+ if w_rhs.get_size() == 1:
+ w_right = w_rhs.get_scalar_value().convert_to(space, calc_dtype)
+ right_iter = right_state = None
+ else:
+ w_right = None
+ right_iter, right_state = w_rhs.create_iter(shape)
+ right_iter.track_index = False
+
if out is None:
out = W_NDimArray.from_shape(space, shape, res_dtype,
w_instance=lhs_for_subtype)
- left_iter, left_state = w_lhs.create_iter(shape)
- right_iter, right_state = w_rhs.create_iter(shape)
out_iter, out_state = out.create_iter(shape)
- left_iter.track_index = right_iter.track_index = False
shapelen = len(shape)
while not out_iter.done(out_state):
call2_driver.jit_merge_point(shapelen=shapelen, func=func,
calc_dtype=calc_dtype,
res_dtype=res_dtype)
- w_left = left_iter.getitem(left_state).convert_to(space, calc_dtype)
- w_right = right_iter.getitem(right_state).convert_to(space, calc_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))
- left_state = left_iter.next(left_state)
- right_state = right_iter.next(right_state)
out_state = out_iter.next(out_state)
return out
@@ -68,11 +83,12 @@
reds='auto')
def call1(space, shape, func, calc_dtype, res_dtype, w_obj, out):
+ obj_iter, obj_state = w_obj.create_iter(shape)
+ obj_iter.track_index = False
+
if out is None:
out = W_NDimArray.from_shape(space, shape, res_dtype, w_instance=w_obj)
- obj_iter, obj_state = w_obj.create_iter(shape)
out_iter, out_state = out.create_iter(shape)
- obj_iter.track_index = False
shapelen = len(shape)
while not out_iter.done(out_state):
call1_driver.jit_merge_point(shapelen=shapelen, func=func,
@@ -89,17 +105,14 @@
def setslice(space, shape, target, source):
if not shape:
- # XXX - simplify
- target_iter, target_state = target.create_iter(shape)
- source_iter, source_state = source.create_iter(shape)
dtype = target.dtype
- val = source_iter.getitem(source_state)
+ val = source.getitem(source.start)
if dtype.is_str_or_unicode():
val = dtype.coerce(space, val)
else:
val = val.convert_to(space, dtype)
- target_iter.setitem(target_state, val)
- return target
+ target.setitem(target.start, val)
+ return target
return _setslice(space, shape, target, source)
def _setslice(space, shape, target, source):
@@ -107,6 +120,7 @@
# array implementations, not arrays
target_iter, target_state = target.create_iter(shape)
source_iter, source_state = source.create_iter(shape)
+ source_iter.track_index = False
dtype = target.dtype
shapelen = len(shape)
while not target_iter.done(target_state):
@@ -152,6 +166,7 @@
def compute_reduce_cumulative(space, obj, out, calc_dtype, func, identity):
obj_iter, obj_state = obj.create_iter()
out_iter, out_state = out.create_iter()
+ out_iter.track_index = False
if identity is None:
cur_value = obj_iter.getitem(obj_state).convert_to(space, calc_dtype)
out_iter.setitem(out_state, cur_value)
@@ -225,10 +240,9 @@
state = x_state
return out
-axis_reduce__driver = jit.JitDriver(name='numpy_axis_reduce',
- greens=['shapelen',
- 'func', 'dtype'],
- reds='auto')
+axis_reduce_driver = jit.JitDriver(name='numpy_axis_reduce',
+ greens=['shapelen', 'func', 'dtype'],
+ reds='auto')
def do_axis_reduce(space, shape, func, arr, dtype, axis, out, identity,
cumulative,
temp):
@@ -241,21 +255,24 @@
temp_iter = out_iter # hack
temp_state = out_state
arr_iter, arr_state = arr.create_iter()
+ arr_iter.track_index = False
if identity is not None:
identity = identity.convert_to(space, dtype)
shapelen = len(shape)
while not out_iter.done(out_state):
- axis_reduce__driver.jit_merge_point(shapelen=shapelen, func=func,
- dtype=dtype)
- assert not arr_iter.done(arr_state)
+ axis_reduce_driver.jit_merge_point(shapelen=shapelen, func=func,
+ dtype=dtype)
w_val = arr_iter.getitem(arr_state).convert_to(space, dtype)
- out_state = out_iter.update(out_state)
- if out_state.indices[axis] == 0:
+ arr_state = arr_iter.next(arr_state)
+
+ out_indices = out_iter.indices(out_state)
+ if out_indices[axis] == 0:
if identity is not None:
w_val = func(dtype, identity, w_val)
else:
cur = temp_iter.getitem(temp_state)
w_val = func(dtype, cur, w_val)
+
out_iter.setitem(out_state, w_val)
out_state = out_iter.next(out_state)
if cumulative:
@@ -263,7 +280,6 @@
temp_state = temp_iter.next(temp_state)
else:
temp_state = out_state
- arr_state = arr_iter.next(arr_state)
return out
@@ -382,9 +398,9 @@
while not arr_iter.done(arr_state):
nonzero_driver.jit_merge_point(shapelen=shapelen, dims=dims,
dtype=dtype)
if arr_iter.getitem_bool(arr_state):
- arr_state = arr_iter.update(arr_state)
+ arr_indices = arr_iter.indices(arr_state)
for d in dims:
- res_iter.setitem(res_state, box(arr_state.indices[d]))
+ res_iter.setitem(res_state, box(arr_indices[d]))
res_state = res_iter.next(res_state)
arr_state = arr_iter.next(arr_state)
return res
diff --git a/pypy/module/micronumpy/ndarray.py
b/pypy/module/micronumpy/ndarray.py
--- a/pypy/module/micronumpy/ndarray.py
+++ b/pypy/module/micronumpy/ndarray.py
@@ -19,7 +19,7 @@
order_converter, shape_converter, searchside_converter
from pypy.module.micronumpy.flagsobj import W_FlagsObject
from pypy.module.micronumpy.strides import get_shape_from_iterable, \
- shape_agreement, shape_agreement_multiple
+ shape_agreement, shape_agreement_multiple, is_c_contiguous, is_f_contiguous
def _match_dot_shapes(space, left, right):
@@ -529,9 +529,10 @@
"__array__(dtype) not implemented"))
if type(self) is W_NDimArray:
return self
+ sz = support.product(self.get_shape()) * self.get_dtype().elsize
return W_NDimArray.from_shape_and_storage(
space, self.get_shape(), self.implementation.storage,
- self.get_dtype(), w_base=self)
+ self.get_dtype(), storage_bytes=sz, w_base=self)
def descr_array_iface(self, space):
addr = self.implementation.get_storage_as_int(space)
@@ -827,7 +828,15 @@
raise OperationError(space.w_ValueError, space.wrap(
"new type not compatible with array."))
else:
- if dims == 1 or impl.get_strides()[0] < impl.get_strides()[-1]:
+ if not is_c_contiguous(impl) and not is_f_contiguous(impl):
+ if old_itemsize != new_itemsize:
+ raise OperationError(space.w_ValueError, space.wrap(
+ "new type not compatible with array."))
+ # Strides, shape does not change
+ v = impl.astype(space, dtype)
+ return wrap_impl(space, w_type, self, v)
+ strides = impl.get_strides()
+ if dims == 1 or strides[0] <strides[-1]:
# Column-major, resize first dimension
if new_shape[0] * old_itemsize % new_itemsize != 0:
raise OperationError(space.w_ValueError, space.wrap(
@@ -1119,9 +1128,9 @@
from pypy.interpreter.mixedmodule import MixedModule
from pypy.module.micronumpy.concrete import SliceArray
- numpypy = space.getbuiltinmodule("_numpypy")
- assert isinstance(numpypy, MixedModule)
- multiarray = numpypy.get("multiarray")
+ _numpypy = space.getbuiltinmodule("_numpypy")
+ assert isinstance(_numpypy, MixedModule)
+ multiarray = _numpypy.get("multiarray")
assert isinstance(multiarray, MixedModule)
reconstruct = multiarray.get("_reconstruct")
parameters = space.newtuple([self.getclass(space), space.newtuple(
@@ -1169,8 +1178,8 @@
"improper dtype '%R'", dtype)
self.implementation = W_NDimArray.from_shape_and_storage(
space, [space.int_w(i) for i in space.listview(shape)],
- rffi.str2charp(space.str_w(storage), track_allocation=False),
- dtype, owning=True).implementation
+ rffi.str2charp(space.str_w(storage), track_allocation=False),
+ dtype, storage_bytes=space.len_w(storage),
owning=True).implementation
def descr___array_finalize__(self, space, w_obj):
pass
@@ -1194,8 +1203,10 @@
if not space.is_none(w_buffer):
if (not space.is_none(w_strides)):
- raise OperationError(space.w_NotImplementedError,
- space.wrap("unsupported param"))
+ strides = [space.int_w(w_i) for w_i in
+ space.unpackiterable(w_strides)]
+ else:
+ strides = None
try:
buf = space.writebuf_w(w_buffer)
@@ -1209,16 +1220,14 @@
if not shape:
raise OperationError(space.w_TypeError, space.wrap(
"numpy scalars from buffers not supported yet"))
- totalsize = support.product(shape) * dtype.elsize
- if totalsize + offset > buf.getlength():
- raise OperationError(space.w_TypeError, space.wrap(
- "buffer is too small for requested array"))
storage = rffi.cast(RAW_STORAGE_PTR, raw_ptr)
storage = rffi.ptradd(storage, offset)
- return W_NDimArray.from_shape_and_storage(space, shape, storage, dtype,
+ return W_NDimArray.from_shape_and_storage(space, shape, storage,
+ dtype, w_base=w_buffer,
+
storage_bytes=buf.getlength()-offset,
w_subtype=w_subtype,
- w_base=w_buffer,
- writable=not buf.readonly)
+ writable=not buf.readonly,
+ strides=strides)
order = order_converter(space, w_order, NPY.CORDER)
if order == NPY.CORDER:
@@ -1236,8 +1245,9 @@
return w_ret
-@unwrap_spec(addr=int)
-def descr__from_shape_and_storage(space, w_cls, w_shape, addr, w_dtype,
w_subtype=None):
+@unwrap_spec(addr=int, buf_len=int)
+def descr__from_shape_and_storage(space, w_cls, w_shape, addr, w_dtype,
+ buf_len=-1, w_subtype=None, w_strides=None):
"""
Create an array from an existing buffer, given its address as int.
PyPy-only implementation detail.
@@ -1246,14 +1256,22 @@
dtype = space.interp_w(descriptor.W_Dtype, space.call_function(
space.gettypefor(descriptor.W_Dtype), w_dtype))
shape = shape_converter(space, w_shape, dtype)
+ if not space.is_none(w_strides):
+ strides = [space.int_w(w_i) for w_i in
+ space.unpackiterable(w_strides)]
+ else:
+ strides = None
if w_subtype:
if not space.isinstance_w(w_subtype, space.w_type):
raise OperationError(space.w_ValueError, space.wrap(
"subtype must be a subtype of ndarray, not a class instance"))
return W_NDimArray.from_shape_and_storage(space, shape, storage, dtype,
- 'C', False, w_subtype)
+ buf_len, 'C', False,
w_subtype,
+ strides=strides)
else:
- return W_NDimArray.from_shape_and_storage(space, shape, storage, dtype)
+ return W_NDimArray.from_shape_and_storage(space, shape, storage, dtype,
+ storage_bytes=buf_len,
+ strides=strides)
app_take = applevel(r"""
def take(a, indices, axis, out, mode):
diff --git a/pypy/module/micronumpy/nditer.py b/pypy/module/micronumpy/nditer.py
--- a/pypy/module/micronumpy/nditer.py
+++ b/pypy/module/micronumpy/nditer.py
@@ -6,7 +6,7 @@
from pypy.module.micronumpy import ufuncs, support, concrete
from pypy.module.micronumpy.base import W_NDimArray, convert_to_array
from pypy.module.micronumpy.descriptor import decode_w_dtype
-from pypy.module.micronumpy.iterators import ArrayIter, SliceIter, OpFlag
+from pypy.module.micronumpy.iterators import ArrayIter
from pypy.module.micronumpy.strides import (calculate_broadcast_strides,
shape_agreement,
shape_agreement_multiple)
@@ -36,6 +36,16 @@
return ret
+class OpFlag(object):
+ def __init__(self):
+ self.rw = ''
+ self.broadcast = True
+ self.force_contig = False
+ self.force_align = False
+ self.native_byte_order = False
+ self.tmp_copy = ''
+ self.allocate = False
+
def parse_op_flag(space, lst):
op_flag = OpFlag()
for w_item in lst:
@@ -142,11 +152,73 @@
raise NotImplementedError('not implemented yet')
-def get_iter(space, order, arr, shape, dtype, op_flags):
+class OperandIter(ArrayIter):
+ _immutable_fields_ = ['slice_shape', 'slice_stride', 'slice_backstride',
+ 'operand_type', 'base']
+
+ def getitem(self, state):
+ # cannot be called - must return a boxed value
+ assert False
+
+ def getitem_bool(self, state):
+ # cannot be called - must return a boxed value
+ assert False
+
+ def setitem(self, state, elem):
+ # cannot be called - must return a boxed value
+ assert False
+
+
+class ConcreteIter(OperandIter):
+ def __init__(self, array, size, shape, strides, backstrides,
+ op_flags, base):
+ OperandIter.__init__(self, array, size, shape, strides, backstrides)
+ self.slice_shape = 1
+ self.slice_stride = -1
+ if strides:
+ self.slice_stride = strides[-1]
+ self.slice_backstride = 1
+ if op_flags.rw == 'r':
+ self.operand_type = concrete.ConcreteNonWritableArrayWithBase
+ else:
+ self.operand_type = concrete.ConcreteArrayWithBase
+ self.base = base
+
+ def getoperand(self, state):
+ assert state.iterator is self
+ impl = self.operand_type
+ res = impl([], self.array.dtype, self.array.order, [], [],
+ self.array.storage, self.base)
+ res.start = state.offset
+ return res
+
+
+class SliceIter(OperandIter):
+ def __init__(self, array, size, shape, strides, backstrides, slice_shape,
+ slice_stride, slice_backstride, op_flags, base):
+ OperandIter.__init__(self, array, size, shape, strides, backstrides)
+ self.slice_shape = slice_shape
+ self.slice_stride = slice_stride
+ self.slice_backstride = slice_backstride
+ if op_flags.rw == 'r':
+ self.operand_type = concrete.NonWritableSliceArray
+ else:
+ self.operand_type = concrete.SliceArray
+ self.base = base
+
+ def getoperand(self, state):
+ assert state.iterator is self
+ impl = self.operand_type
+ arr = impl(state.offset, [self.slice_stride], [self.slice_backstride],
+ [self.slice_shape], self.array, self.base)
+ return arr
+
+
+def get_iter(space, order, arr, shape, dtype, op_flags, base):
imp = arr.implementation
backward = is_backward(imp, order)
if arr.is_scalar():
- return ArrayIter(imp, 1, [], [], [], op_flags=op_flags)
+ return ConcreteIter(imp, 1, [], [], [], op_flags, base)
if (imp.strides[0] < imp.strides[-1] and not backward) or \
(imp.strides[0] > imp.strides[-1] and backward):
# flip the strides. Is this always true for multidimension?
@@ -161,7 +233,7 @@
backstrides = imp.backstrides
r = calculate_broadcast_strides(strides, backstrides, imp.shape,
shape, backward)
- return ArrayIter(imp, imp.get_size(), shape, r[0], r[1], op_flags=op_flags)
+ return ConcreteIter(imp, imp.get_size(), shape, r[0], r[1], op_flags, base)
def calculate_ndim(op_in, oa_ndim):
if oa_ndim >=0:
@@ -398,7 +470,7 @@
self.iters = []
for i in range(len(self.seq)):
it = get_iter(space, self.order, self.seq[i], self.shape,
- self.dtypes[i], self.op_flags[i])
+ self.dtypes[i], self.op_flags[i], self)
it.contiguous = False
self.iters.append((it, it.reset()))
@@ -437,7 +509,7 @@
return space.wrap(self)
def getitem(self, it, st):
- res = it.getoperand(st, self)
+ res = it.getoperand(st)
return W_NDimArray(res)
def descr_getitem(self, space, w_idx):
@@ -455,6 +527,7 @@
def descr_len(self, space):
space.wrap(len(self.iters))
+ @jit.unroll_safe
def descr_next(self, space):
for it, st in self.iters:
if not it.done(st):
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
@@ -270,7 +270,7 @@
shape = shape_agreement(space, shape, arr)
return shape
-
+@jit.unroll_safe
def _shape_agreement(shape1, shape2):
""" Checks agreement about two shapes with respect to broadcasting. Returns
the resulting shape.
@@ -362,6 +362,13 @@
backstrides.reverse()
return strides, backstrides
+@jit.unroll_safe
+def calc_backstrides(strides, shape):
+ ndims = len(shape)
+ new_backstrides = [0] * ndims
+ for nd in range(ndims):
+ new_backstrides[nd] = (shape[nd] - 1) * strides[nd]
+ return new_backstrides
# Recalculating strides. Find the steps that the iteration does for each
# dimension, given the stride and shape. Then try to create a new stride that
@@ -422,3 +429,35 @@
n_old_elems_to_use *= old_shape[oldI]
assert len(new_strides) == len(new_shape)
return new_strides[:]
+
+@jit.unroll_safe
+def is_c_contiguous(arr):
+ shape = arr.get_shape()
+ strides = arr.get_strides()
+ ret = True
+ sd = arr.dtype.elsize
+ for i in range(len(shape) - 1, -1, -1):
+ dim = shape[i]
+ if strides[i] != sd:
+ ret = False
+ break
+ if dim == 0:
+ break
+ sd *= dim
+ return ret
+
+@jit.unroll_safe
+def is_f_contiguous(arr):
+ shape = arr.get_shape()
+ strides = arr.get_strides()
+ ret = True
+ sd = arr.dtype.elsize
+ for i in range(len(shape)):
+ dim = shape[i]
+ if strides[i] != sd:
+ ret = False
+ break
+ if dim == 0:
+ break
+ sd *= dim
+ return ret
diff --git a/pypy/module/micronumpy/test/test_arrayops.py
b/pypy/module/micronumpy/test/test_arrayops.py
--- a/pypy/module/micronumpy/test/test_arrayops.py
+++ b/pypy/module/micronumpy/test/test_arrayops.py
@@ -3,13 +3,13 @@
class AppTestNumSupport(BaseNumpyAppTest):
def test_zeros(self):
- from numpypy import zeros
+ from numpy import zeros
a = zeros(3)
assert len(a) == 3
assert a[0] == a[1] == a[2] == 0
def test_empty(self):
- from numpypy import empty
+ from numpy import empty
import gc
for i in range(1000):
a = empty(3)
@@ -26,26 +26,26 @@
"empty() returned a zeroed out array every time")
def test_where(self):
- from numpypy import where, ones, zeros, array
+ from numpy import where, ones, zeros, array
a = [1, 2, 3, 0, -3]
a = where(array(a) > 0, ones(5), zeros(5))
assert (a == [1, 1, 1, 0, 0]).all()
def test_where_differing_dtypes(self):
- from numpypy import array, ones, zeros, where
+ from numpy import array, ones, zeros, where
a = [1, 2, 3, 0, -3]
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