Initial commit

This commit is contained in:
Greentwip
2020-11-03 11:10:27 -07:00
parent 7859d26485
commit bf48f47304
4147 changed files with 1783608 additions and 0 deletions
+42
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@@ -0,0 +1,42 @@
´.purify
autom4te.cache
config.log
config.cache
config.status
config.status.lineno
db_home
Makefile
buildno
python
build
Makefile.pre
platform
pybuilddir.txt
pyconfig.h
libpython*.a
libpython*.so*
python.exe
python-gdb.py
reflog.txt
tags
TAGS
.gdb_history
Doc/tools/sphinx
Doc/tools/jinja
Doc/tools/jinja2
Doc/tools/pygments
Doc/tools/docutils
Misc/python.pc
Modules/Setup
Modules/Setup.config
Modules/Setup.local
Modules/config.c
Modules/ld_so_aix
Parser/pgen
Lib/test/data/*
Lib/lib2to3/Grammar*.pickle
Lib/lib2to3/PatternGrammar*.pickle
__pycache__
.coverage
coverage/*
htmlcov/*
+74
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@@ -348,3 +348,77 @@ MigrationBackup/
# Ionide (cross platform F# VS Code tools) working folder
.ionide/
*.cover
*.o
*.orig
*.pyc
*.pyd
*.pyo
*.rej
*.swp
*~
.gdb_history
Doc/build/
Doc/tools/docutils/
Doc/tools/jinja/
Doc/tools/jinja2/
Doc/tools/pygments/
Doc/tools/sphinx/
Lib/lib2to3/*.pickle
Lib/test/data/*
Lib/_sysconfigdata.py
Lib/plat-mac/errors.rsrc.df.rsrc
Makefile
Makefile.pre
Misc/python.pc
Misc/python-config.sh
Modules/Setup
Modules/Setup.config
Modules/Setup.local
Modules/config.c
Modules/ld_so_aix
Modules/_freeze_importlib
Modules/_testembed
PCbuild/*.bsc
PCbuild/*.dll
PCbuild/*.exe
PCbuild/*.exp
PCbuild/*.lib
PCbuild/*.ncb
PCbuild/*.o
PCbuild/*.pdb
PCbuild/Win32-temp-*
PCbuild/amd64/
.purify
Parser/pgen
__pycache__
autom4te.cache
build/
buildno
config.cache
config.log
config.status
config.status.lineno
core
db_home
config.log
config.status
libpython*.a
libpython*.so*
platform
pybuilddir.txt
pyconfig.h
python
python-config
python-config.py
python.exe
python-gdb.py
python.exe-gdb.py
reflog.txt
.svn/
tags
TAGS
.coverage
coverage/
htmlcov/
+49
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@@ -0,0 +1,49 @@
[patterns]
# Non human-editable files are binary
**.dsp = BIN
**.dsw = BIN
**.mk = BIN
**.sln = BIN
**.vcproj = BIN
**.vsprops = BIN
**.vcxproj = BIN
**.vcxproj.filters = BIN
**.aif = BIN
**.aifc = BIN
**.aiff = BIN
**.au = BIN
**.bmp = BIN
**.db = BIN
**.exe = BIN
**.icns = BIN
**.gif = BIN
**.ico = BIN
**.info = BIN
**.jpg = BIN
**.pck = BIN
**.png = BIN
**.psd = BIN
**.tar = BIN
**.wav = BIN
**.whl = BIN
**.xar = BIN
**.zip = BIN
Lib/test/cjkencodings/* = BIN
Lib/test/decimaltestdata/*.decTest = BIN
Lib/test/sndhdrdata/sndhdr.* = BIN
Lib/test/test_email/data/msg_26.txt = BIN
Lib/test/xmltestdata/* = BIN
Lib/venv/scripts/nt/* = BIN
# All other files (which presumably are human-editable) are "native".
# This must be the last rule!
** = native
[repository]
native = LF
+105
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@@ -0,0 +1,105 @@
.gdb_history
.purify
.svn/
^.idea/
.DS_Store
Makefile$
Makefile.pre$
TAGS$
autom4te.cache$
^build/
^Doc/build/
Debug/
Release/
AppPackages/
buildno$
config.cache
config.log
config.status
config.status.lineno
db_home
platform$
pyconfig.h$
python$
python.exe$
python-config$
python-config.py$
reflog.txt$
tags$
Lib/plat-mac/errors.rsrc.df.rsrc
Doc/tools/sphinx/
Doc/tools/docutils/
Doc/tools/jinja/
Doc/tools/jinja2/
Doc/tools/pygments/
Misc/python.pc
Misc/python-config.sh$
Modules/Setup$
Modules/Setup.config
Modules/Setup.local
Modules/config.c
Modules/ld_so_aix$
Parser/pgen$
^lcov-report/
^core
^python-gdb.py
^python.exe-gdb.py
^pybuilddir.txt
syntax: glob
libpython*.a
libpython*.so*
*.swp
*.o
*.pyc
*.pyo
*.pyd
*.cover
*~
Lib/lib2to3/*.pickle
Lib/test/data/*
Misc/*.wpu
PC/python_nt*.h
PC/pythonnt_rc*.h
PC/*.obj
PC/*.exe
PC/*/*.exe
PC/*/*.exp
PC/*/*.lib
PC/*/*.bsc
PC/*/*.dll
PC/*/*.pdb
PC/*/*.user
PC/*/*.ncb
PC/*/*.suo
PC/*/Win32-temp-*
PC/*/x64-temp-*
PC/*/amd64
PCbuild/*.exe
PCbuild/*.dll
PCbuild/*.pdb
PCbuild/*.lib
PCbuild/*.exp
PCbuild/*.o
PCbuild/*.ncb
PCbuild/*.bsc
PCbuild/*.user
PCbuild/*.suo
PCbuild/*.*sdf
PCbuild/Win32-temp-*
PCbuild/x64-temp-*
PCbuild/amd64
PCbuild/ipch
Tools/unicode/build/
Tools/unicode/MAPPINGS/
BuildLog.htm
__pycache__
Modules/_freeze_importlib
Modules/_testembed
.coverage
coverage/
htmlcov/
*.gcda
*.gcno
*.gcov
coverage.info
+131
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+15
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@@ -0,0 +1,15 @@
# -*- Makefile -*-
# Define dependencies of generated files that are checked into hg.
# The syntax of this file uses make rule dependencies, without actions
Python/importlib.h: Lib/importlib/_bootstrap.py Modules/_freeze_importlib.c
Include/Python-ast.h: Parser/Python.asdl Parser/asdl.py Parser/asdl_c.py
Python/Python-ast.c: Include/Python-ast.h
Python/opcode_targets.h: Python/makeopcodetargets.py Lib/opcode.py
Objects/typeslots.inc: Include/typeslots.h Objects/typeslots.py
Include/graminit.h: Grammar/Grammar Parser/acceler.c Parser/grammar1.c Parser/listnode.c Parser/node.c Parser/parser.c Parser/bitset.c Parser/metagrammar.c Parser/firstsets.c Parser/grammar.c Parser/pgen.c Objects/obmalloc.c Python/dynamic_annotations.c Python/mysnprintf.c Python/pyctype.c Parser/tokenizer_pgen.c Parser/printgrammar.c Parser/parsetok_pgen.c Parser/pgenmain.c
Python/graminit.c: Include/graminit.h Grammar/Grammar Parser/acceler.c Parser/grammar1.c Parser/listnode.c Parser/node.c Parser/parser.c Parser/bitset.c Parser/metagrammar.c Parser/firstsets.c Parser/grammar.c Parser/pgen.c Objects/obmalloc.c Python/dynamic_annotations.c Python/mysnprintf.c Python/pyctype.c Parser/tokenizer_pgen.c Parser/printgrammar.c Parser/parsetok_pgen.c Parser/pgenmain.c
+433
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@@ -0,0 +1,433 @@
# HG changeset patch
# User Steve Dower <steve.dower@microsoft.com>
# Date 1424930096 28800
# Wed Feb 25 21:54:56 2015 -0800
# Node ID 2341dc356f166c02b3140a9244c49ca03177a00c
# Parent cabd257b1070b056928061cac80b598eebbeb979
Issue #23524: Replace _PyVerify_fd function with calling _set_thread_local_invalid_parameter_handler on every thread.
diff --git a/Include/fileobject.h b/Include/fileobject.h
--- a/Include/fileobject.h
+++ b/Include/fileobject.h
@@ -32,17 +32,6 @@
#ifndef Py_LIMITED_API
PyAPI_FUNC(PyObject *) PyFile_NewStdPrinter(int);
PyAPI_DATA(PyTypeObject) PyStdPrinter_Type;
-
-#if defined _MSC_VER && _MSC_VER >= 1400
-/* A routine to check if a file descriptor is valid on Windows. Returns 0
- * and sets errno to EBADF if it isn't. This is to avoid Assertions
- * from various functions in the Windows CRT beginning with
- * Visual Studio 2005
- */
-int _PyVerify_fd(int fd);
-#else
-#define _PyVerify_fd(A) (1) /* dummy */
-#endif
#endif /* Py_LIMITED_API */
/* A routine to check if a file descriptor can be select()-ed. */
diff --git a/Include/fileutils.h b/Include/fileutils.h
--- a/Include/fileutils.h
+++ b/Include/fileutils.h
@@ -108,6 +108,18 @@
PyAPI_FUNC(int) _Py_set_blocking(int fd, int blocking);
#endif /* !MS_WINDOWS */
+#if defined _MSC_VER && _MSC_VER >= 1400
+/* A routine to check if a file descriptor is valid on Windows. Returns 0
+ * and sets errno to EBADF if it isn't. This is to avoid Assertions
+ * from various functions in the Windows CRT beginning with
+ * Visual Studio 2005
+ */
+int _PyVerify_fd(int fd);
+
+#else
+#define _PyVerify_fd(A) (1) /* dummy */
+#endif
+
#endif /* Py_LIMITED_API */
#ifdef __cplusplus
diff --git a/Modules/_io/fileio.c b/Modules/_io/fileio.c
--- a/Modules/_io/fileio.c
+++ b/Modules/_io/fileio.c
@@ -182,7 +182,7 @@
{
#if defined(HAVE_FSTAT) || defined(MS_WINDOWS)
struct _Py_stat_struct buf;
- if (!_PyVerify_fd(fd) || (_Py_fstat(fd, &buf) < 0 && errno == EBADF)) {
+ if (_Py_fstat(fd, &buf) < 0 && errno == EBADF) {
PyObject *exc;
char *msg = strerror(EBADF);
exc = PyObject_CallFunction(PyExc_OSError, "(is)",
diff --git a/Modules/posixmodule.c b/Modules/posixmodule.c
--- a/Modules/posixmodule.c
+++ b/Modules/posixmodule.c
@@ -1051,99 +1051,16 @@
}
-#if defined _MSC_VER && _MSC_VER >= 1400
-/* Microsoft CRT in VS2005 and higher will verify that a filehandle is
- * valid and raise an assertion if it isn't.
- * Normally, an invalid fd is likely to be a C program error and therefore
- * an assertion can be useful, but it does contradict the POSIX standard
- * which for write(2) states:
- * "Otherwise, -1 shall be returned and errno set to indicate the error."
- * "[EBADF] The fildes argument is not a valid file descriptor open for
- * writing."
- * Furthermore, python allows the user to enter any old integer
- * as a fd and should merely raise a python exception on error.
- * The Microsoft CRT doesn't provide an official way to check for the
- * validity of a file descriptor, but we can emulate its internal behaviour
- * by using the exported __pinfo data member and knowledge of the
- * internal structures involved.
- * The structures below must be updated for each version of visual studio
- * according to the file internal.h in the CRT source, until MS comes
- * up with a less hacky way to do this.
- * (all of this is to avoid globally modifying the CRT behaviour using
- * _set_invalid_parameter_handler() and _CrtSetReportMode())
+#if defined _MSC_VER && _MSC_VER >= 1400 && _MSC_VER < 1900
+/* Legacy implementation of _PyVerify_fd_dup2 while transitioning to
+ * MSVC 14.0. This should eventually be removed. (issue23524)
*/
-/* The actual size of the structure is determined at runtime.
- * Only the first items must be present.
- */
-
-#if _MSC_VER >= 1900
-
-typedef struct {
- CRITICAL_SECTION lock;
- intptr_t osfhnd;
- __int64 startpos;
- char osfile;
-} my_ioinfo;
-
-#define IOINFO_L2E 6
-#define IOINFO_ARRAYS 128
-
-#else
-
-typedef struct {
- intptr_t osfhnd;
- char osfile;
-} my_ioinfo;
-
#define IOINFO_L2E 5
#define IOINFO_ARRAYS 64
-
-#endif
-
-extern __declspec(dllimport) char * __pioinfo[];
#define IOINFO_ARRAY_ELTS (1 << IOINFO_L2E)
#define _NHANDLE_ (IOINFO_ARRAYS * IOINFO_ARRAY_ELTS)
-#define FOPEN 0x01
#define _NO_CONSOLE_FILENO (intptr_t)-2
-/* This function emulates what the windows CRT does to validate file handles */
-int
-_PyVerify_fd(int fd)
-{
- const int i1 = fd >> IOINFO_L2E;
- const int i2 = fd & ((1 << IOINFO_L2E) - 1);
-
- static size_t sizeof_ioinfo = 0;
-
- /* Determine the actual size of the ioinfo structure,
- * as used by the CRT loaded in memory
- */
- if (sizeof_ioinfo == 0 && __pioinfo[0] != NULL) {
- sizeof_ioinfo = _msize(__pioinfo[0]) / IOINFO_ARRAY_ELTS;
- }
- if (sizeof_ioinfo == 0) {
- /* This should not happen... */
- goto fail;
- }
-
- /* See that it isn't a special CLEAR fileno */
- if (fd != _NO_CONSOLE_FILENO) {
- /* Microsoft CRT would check that 0<=fd<_nhandle but we can't do that. Instead
- * we check pointer validity and other info
- */
- if (0 <= i1 && i1 < IOINFO_ARRAYS && __pioinfo[i1] != NULL) {
- /* finally, check that the file is open */
- my_ioinfo* info = (my_ioinfo*)(__pioinfo[i1] + i2 * sizeof_ioinfo);
- if (info->osfile & FOPEN) {
- return 1;
- }
- }
- }
- fail:
- errno = EBADF;
- return 0;
-}
-
/* the special case of checking dup2. The target fd must be in a sensible range */
static int
_PyVerify_fd_dup2(int fd1, int fd2)
@@ -1158,8 +1075,7 @@
return 0;
}
#else
-/* dummy version. _PyVerify_fd() is already defined in fileobject.h */
-#define _PyVerify_fd_dup2(A, B) (1)
+#define _PyVerify_fd_dup2(fd1, fd2) (_PyVerify_fd(fd1) && (fd2) >= 0)
#endif
#ifdef MS_WINDOWS
diff --git a/PC/invalid_parameter_handler.c b/PC/invalid_parameter_handler.c
new file mode 100644
--- /dev/null
+++ b/PC/invalid_parameter_handler.c
@@ -0,0 +1,22 @@
+#ifdef _MSC_VER
+
+#include <stdlib.h>
+
+#if _MSC_VER >= 1900
+/* pyconfig.h uses this function in the _Py_BEGIN/END_SUPPRESS_IPH
+ * macros. It does not need to be defined when building using MSVC
+ * earlier than 14.0 (_MSC_VER == 1900).
+ */
+
+static void __cdecl _silent_invalid_parameter_handler(
+ wchar_t const* expression,
+ wchar_t const* function,
+ wchar_t const* file,
+ unsigned int line,
+ uintptr_t pReserved) { }
+
+void *_Py_silent_invalid_parameter_handler =
+ (void*)_silent_invalid_parameter_handler;
+#endif
+
+#endif
diff --git a/PCbuild/pythoncore.vcxproj b/PCbuild/pythoncore.vcxproj
--- a/PCbuild/pythoncore.vcxproj
+++ b/PCbuild/pythoncore.vcxproj
@@ -333,6 +333,7 @@
<ClCompile Include="..\Parser\parser.c" />
<ClCompile Include="..\Parser\parsetok.c" />
<ClCompile Include="..\Parser\tokenizer.c" />
+ <ClCompile Include="..\PC\invalid_parameter_handler.c" />
<ClCompile Include="..\PC\winreg.c" />
<ClCompile Include="..\PC\config.c" />
<ClCompile Include="..\PC\getpathp.c" />
@@ -394,25 +395,21 @@
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
</ImportGroup>
-
<Target Name="_GetBuildInfo" BeforeTargets="PrepareForBuild">
- <Exec Command='hg id -b &gt; "$(IntDir)hgbranch.txt"' ContinueOnError="true" />
- <Exec Command='hg id -i &gt; "$(IntDir)hgversion.txt"' ContinueOnError="true" />
- <Exec Command='hg id -t &gt; "$(IntDir)hgtag.txt"' ContinueOnError="true" />
-
+ <Exec Command="hg id -b &gt; &quot;$(IntDir)hgbranch.txt&quot;" ContinueOnError="true" />
+ <Exec Command="hg id -i &gt; &quot;$(IntDir)hgversion.txt&quot;" ContinueOnError="true" />
+ <Exec Command="hg id -t &gt; &quot;$(IntDir)hgtag.txt&quot;" ContinueOnError="true" />
<PropertyGroup>
<HgBranch Condition="Exists('$(IntDir)hgbranch.txt')">$([System.IO.File]::ReadAllText('$(IntDir)hgbranch.txt').Trim())</HgBranch>
<HgVersion Condition="Exists('$(IntDir)hgversion.txt')">$([System.IO.File]::ReadAllText('$(IntDir)hgversion.txt').Trim())</HgVersion>
<HgTag Condition="Exists('$(IntDir)hgtag.txt')">$([System.IO.File]::ReadAllText('$(IntDir)hgtag.txt').Trim())</HgTag>
</PropertyGroup>
-
<ItemGroup>
<ClCompile Include="..\Modules\getbuildinfo.c">
<PreprocessorDefinitions>HGVERSION="$(HgVersion)";HGTAG="$(HgTag)";HGBRANCH="$(HgBranch)";%(PreprocessorDefinitions)</PreprocessorDefinitions>
</ClCompile>
</ItemGroup>
</Target>
-
<Target Name="_WarnAboutToolset" BeforeTargets="PrepareForBuild" Condition="$(PlatformToolset) != 'v140'">
<Warning Text="Toolset $(PlatformToolset) is not used for official builds. Your build may have errors or incompatibilities." />
</Target>
diff --git a/PCbuild/pythoncore.vcxproj.filters b/PCbuild/pythoncore.vcxproj.filters
--- a/PCbuild/pythoncore.vcxproj.filters
+++ b/PCbuild/pythoncore.vcxproj.filters
@@ -959,6 +959,9 @@
<ClCompile Include="..\Modules\hashtable.c">
<Filter>Modules</Filter>
</ClCompile>
+ <ClCompile Include="..\PC\invalid_parameter_handler.c">
+ <Filter>PC</Filter>
+ </ClCompile>
</ItemGroup>
<ItemGroup>
<ResourceCompile Include="..\PC\python_nt.rc">
diff --git a/Python/fileutils.c b/Python/fileutils.c
--- a/Python/fileutils.c
+++ b/Python/fileutils.c
@@ -3,6 +3,7 @@
#include <locale.h>
#ifdef MS_WINDOWS
+# include <malloc.h>
# include <windows.h>
#endif
@@ -636,14 +637,10 @@
else
h = (HANDLE)_get_osfhandle(fd);
- /* Protocol violation: we explicitly clear errno, instead of
- setting it to a POSIX error. Callers should use GetLastError. */
errno = 0;
if (h == INVALID_HANDLE_VALUE) {
- /* This is really a C library error (invalid file handle).
- We set the Win32 error to the closes one matching. */
- SetLastError(ERROR_INVALID_HANDLE);
+ errno = EBADF;
return -1;
}
memset(result, 0, sizeof(*result));
@@ -652,6 +649,7 @@
if (type == FILE_TYPE_UNKNOWN) {
DWORD error = GetLastError();
if (error != 0) {
+ errno = EINVAL;
return -1;
}
/* else: valid but unknown file */
@@ -666,6 +664,7 @@
}
if (!GetFileInformationByHandle(h, &info)) {
+ errno = EINVAL;
return -1;
}
@@ -1267,3 +1266,102 @@
}
#endif
+#ifdef _MSC_VER
+#if _MSC_VER >= 1900
+
+/* This function lets the Windows CRT validate the file handle without
+ terminating the process if it's invalid. */
+int
+_PyVerify_fd(int fd)
+{
+ intptr_t osh;
+ /* Fast check for the only condition we know */
+ if (fd < 0) {
+ _set_errno(EBADF);
+ return 0;
+ }
+ osh = _get_osfhandle(fd);
+ return osh != (intptr_t)-1;
+}
+
+#elif _MSC_VER >= 1400
+/* Legacy implementation of _PyVerify_fd while transitioning to
+ * MSVC 14.0. This should eventually be removed. (issue23524)
+ */
+
+/* Microsoft CRT in VS2005 and higher will verify that a filehandle is
+ * valid and raise an assertion if it isn't.
+ * Normally, an invalid fd is likely to be a C program error and therefore
+ * an assertion can be useful, but it does contradict the POSIX standard
+ * which for write(2) states:
+ * "Otherwise, -1 shall be returned and errno set to indicate the error."
+ * "[EBADF] The fildes argument is not a valid file descriptor open for
+ * writing."
+ * Furthermore, python allows the user to enter any old integer
+ * as a fd and should merely raise a python exception on error.
+ * The Microsoft CRT doesn't provide an official way to check for the
+ * validity of a file descriptor, but we can emulate its internal behaviour
+ * by using the exported __pinfo data member and knowledge of the
+ * internal structures involved.
+ * The structures below must be updated for each version of visual studio
+ * according to the file internal.h in the CRT source, until MS comes
+ * up with a less hacky way to do this.
+ * (all of this is to avoid globally modifying the CRT behaviour using
+ * _set_invalid_parameter_handler() and _CrtSetReportMode())
+ */
+/* The actual size of the structure is determined at runtime.
+ * Only the first items must be present.
+ */
+typedef struct {
+ intptr_t osfhnd;
+ char osfile;
+} my_ioinfo;
+
+extern __declspec(dllimport) char * __pioinfo[];
+#define IOINFO_L2E 5
+#define IOINFO_ARRAYS 64
+#define IOINFO_ARRAY_ELTS (1 << IOINFO_L2E)
+#define _NHANDLE_ (IOINFO_ARRAYS * IOINFO_ARRAY_ELTS)
+#define FOPEN 0x01
+#define _NO_CONSOLE_FILENO (intptr_t)-2
+
+/* This function emulates what the windows CRT does to validate file handles */
+int
+_PyVerify_fd(int fd)
+{
+ const int i1 = fd >> IOINFO_L2E;
+ const int i2 = fd & ((1 << IOINFO_L2E) - 1);
+
+ static size_t sizeof_ioinfo = 0;
+
+ /* Determine the actual size of the ioinfo structure,
+ * as used by the CRT loaded in memory
+ */
+ if (sizeof_ioinfo == 0 && __pioinfo[0] != NULL) {
+ sizeof_ioinfo = _msize(__pioinfo[0]) / IOINFO_ARRAY_ELTS;
+ }
+ if (sizeof_ioinfo == 0) {
+ /* This should not happen... */
+ goto fail;
+ }
+
+ /* See that it isn't a special CLEAR fileno */
+ if (fd != _NO_CONSOLE_FILENO) {
+ /* Microsoft CRT would check that 0<=fd<_nhandle but we can't do that. Instead
+ * we check pointer validity and other info
+ */
+ if (0 <= i1 && i1 < IOINFO_ARRAYS && __pioinfo[i1] != NULL) {
+ /* finally, check that the file is open */
+ my_ioinfo* info = (my_ioinfo*)(__pioinfo[i1] + i2 * sizeof_ioinfo);
+ if (info->osfile & FOPEN) {
+ return 1;
+ }
+ }
+ }
+ fail:
+ errno = EBADF;
+ return 0;
+}
+
+#endif /* _MSC_VER >= 1900 || _MSC_VER >= 1400 */
+#endif /* defined _MSC_VER */
diff --git a/Python/pystate.c b/Python/pystate.c
--- a/Python/pystate.c
+++ b/Python/pystate.c
@@ -22,6 +22,12 @@
#endif
#endif
+#if defined _MSC_VER && _MSC_VER >= 1900
+/* Issue #23524: Temporary fix to disable termination due to invalid parameters */
+PyAPI_DATA(void*) _Py_silent_invalid_parameter_handler;
+#include <stdlib.h>
+#endif
+
#ifdef __cplusplus
extern "C" {
#endif
@@ -222,6 +228,11 @@
tstate->next->prev = tstate;
interp->tstate_head = tstate;
HEAD_UNLOCK();
+
+#if defined _MSC_VER && _MSC_VER >= 1900
+ /* Issue #23524: Temporary fix to disable termination due to invalid parameters */
+ _set_thread_local_invalid_parameter_handler((_invalid_parameter_handler)_Py_silent_invalid_parameter_handler);
+#endif
}
return tstate;
+153
View File
@@ -0,0 +1,153 @@
Python Documentation README
~~~~~~~~~~~~~~~~~~~~~~~~~~~
This directory contains the reStructuredText (reST) sources to the Python
documentation. You don't need to build them yourself, prebuilt versions are
available at http://docs.python.org/download/.
Documentation on the authoring Python documentation, including information about
both style and markup, is available in the "Documenting Python" chapter of the
developers guide (http://docs.python.org/devguide/documenting.html).
There's also a chapter intended to point out differences to
those familiar with the previous docs written in LaTeX.
Building the docs
=================
You need to have Python 2.4 or higher installed; the toolset used to build the
docs is written in Python. It is called *Sphinx*, it is not included in this
tree, but maintained separately. Also needed are the docutils, supplying the
base markup that Sphinx uses, Jinja, a templating engine, and optionally
Pygments, a code highlighter.
Using make
----------
Luckily, a Makefile has been prepared so that on Unix, provided you have
installed Python and Subversion, you can just run ::
make html
to check out the necessary toolset in the `tools/` subdirectory and build the
HTML output files. To view the generated HTML, point your favorite browser at
the top-level index `build/html/index.html` after running "make".
To use a Python interpreter that's not called ``python``, use the standard
way to set Makefile variables, using e.g. ::
make html PYTHON=/usr/bin/python2.5
Available make targets are:
* "html", which builds standalone HTML files for offline viewing.
* "htmlhelp", which builds HTML files and a HTML Help project file usable to
convert them into a single Compiled HTML (.chm) file -- these are popular
under Microsoft Windows, but very handy on every platform.
To create the CHM file, you need to run the Microsoft HTML Help Workshop over
the generated project (.hhp) file.
* "latex", which builds LaTeX source files as input to "pdflatex" to produce
PDF documents.
* "text", which builds a plain text file for each source file.
* "epub", which builds an EPUB document, suitable to be viewed on e-book
readers.
* "linkcheck", which checks all external references to see whether they are
broken, redirected or malformed, and outputs this information to stdout as
well as a plain-text (.txt) file.
* "changes", which builds an overview over all versionadded/versionchanged/
deprecated items in the current version. This is meant as a help for the
writer of the "What's New" document.
* "coverage", which builds a coverage overview for standard library modules and
C API.
* "pydoc-topics", which builds a Python module containing a dictionary with
plain text documentation for the labels defined in
`tools/sphinxext/pyspecific.py` -- pydoc needs these to show topic and
keyword help.
A "make update" updates the Subversion checkouts in `tools/`.
Without make
------------
You'll need to install the Sphinx package, either by checking it out via ::
svn co http://svn.python.org/projects/external/Sphinx-1.0.7/sphinx tools/sphinx
or by installing it from PyPI.
Then, you need to install Docutils, either by checking it out via ::
svn co http://svn.python.org/projects/external/docutils-0.6/docutils tools/docutils
or by installing it from http://docutils.sf.net/.
You also need Jinja2, either by checking it out via ::
svn co http://svn.python.org/projects/external/Jinja-2.3.1/jinja2 tools/jinja2
or by installing it from PyPI.
You can optionally also install Pygments, either as a checkout via ::
svn co http://svn.python.org/projects/external/Pygments-1.3.1/pygments tools/pygments
or from PyPI at http://pypi.python.org/pypi/Pygments.
Then, make an output directory, e.g. under `build/`, and run ::
python tools/sphinx-build.py -b<builder> . build/<outputdirectory>
where `<builder>` is one of html, text, latex, or htmlhelp (for explanations see
the make targets above).
Contributing
============
Bugs in the content should be reported to the Python bug tracker at
http://bugs.python.org.
Bugs in the toolset should be reported in the Sphinx bug tracker at
http://www.bitbucket.org/birkenfeld/sphinx/issues/.
You can also send a mail to the Python Documentation Team at docs@python.org,
and we will process your request as soon as possible.
If you want to help the Documentation Team, you are always welcome. Just send
a mail to docs@python.org.
Copyright notice
================
The Python source is copyrighted, but you can freely use and copy it
as long as you don't change or remove the copyright notice:
----------------------------------------------------------------------
Copyright (c) 2000-2014 Python Software Foundation.
All rights reserved.
Copyright (c) 2000 BeOpen.com.
All rights reserved.
Copyright (c) 1995-2000 Corporation for National Research Initiatives.
All rights reserved.
Copyright (c) 1991-1995 Stichting Mathematisch Centrum.
All rights reserved.
See the file "license.rst" for information on usage and redistribution
of this file, and for a DISCLAIMER OF ALL WARRANTIES.
----------------------------------------------------------------------
+39
View File
@@ -0,0 +1,39 @@
=====================
About these documents
=====================
These documents are generated from `reStructuredText`_ sources by `Sphinx`_, a
document processor specifically written for the Python documentation.
.. _reStructuredText: http://docutils.sf.net/rst.html
.. _Sphinx: http://sphinx-doc.org/
.. In the online version of these documents, you can submit comments and suggest
changes directly on the documentation pages.
Development of the documentation and its toolchain is an entirely volunteer
effort, just like Python itself. If you want to contribute, please take a
look at the :ref:`reporting-bugs` page for information on how to do so. New
volunteers are always welcome!
Many thanks go to:
* Fred L. Drake, Jr., the creator of the original Python documentation toolset
and writer of much of the content;
* the `Docutils <http://docutils.sf.net/>`_ project for creating
reStructuredText and the Docutils suite;
* Fredrik Lundh for his `Alternative Python Reference
<http://effbot.org/zone/pyref.htm>`_ project from which Sphinx got many good
ideas.
Contributors to the Python Documentation
----------------------------------------
Many people have contributed to the Python language, the Python standard
library, and the Python documentation. See :source:`Misc/ACKS` in the Python
source distribution for a partial list of contributors.
It is only with the input and contributions of the Python community
that Python has such wonderful documentation -- Thank You!
+87
View File
@@ -0,0 +1,87 @@
.. _reporting-bugs:
**************
Reporting Bugs
**************
Python is a mature programming language which has established a reputation for
stability. In order to maintain this reputation, the developers would like to
know of any deficiencies you find in Python.
Documentation bugs
==================
If you find a bug in this documentation or would like to propose an improvement,
please submit a bug report on the :ref:`tracker <using-the-tracker>`. If you
have a suggestion how to fix it, include that as well.
If you're short on time, you can also email your bug report to docs@python.org.
'docs@' is a mailing list run by volunteers; your request will be noticed,
though it may take a while to be processed.
.. seealso::
`Documentation bugs`_ on the Python issue tracker
.. _using-the-tracker:
Using the Python issue tracker
==============================
Bug reports for Python itself should be submitted via the Python Bug Tracker
(http://bugs.python.org/). The bug tracker offers a Web form which allows
pertinent information to be entered and submitted to the developers.
The first step in filing a report is to determine whether the problem has
already been reported. The advantage in doing so, aside from saving the
developers time, is that you learn what has been done to fix it; it may be that
the problem has already been fixed for the next release, or additional
information is needed (in which case you are welcome to provide it if you can!).
To do this, search the bug database using the search box on the top of the page.
If the problem you're reporting is not already in the bug tracker, go back to
the Python Bug Tracker and log in. If you don't already have a tracker account,
select the "Register" link or, if you use OpenID, one of the OpenID provider
logos in the sidebar. It is not possible to submit a bug report anonymously.
Being now logged in, you can submit a bug. Select the "Create New" link in the
sidebar to open the bug reporting form.
The submission form has a number of fields. For the "Title" field, enter a
*very* short description of the problem; less than ten words is good. In the
"Type" field, select the type of your problem; also select the "Component" and
"Versions" to which the bug relates.
In the "Comment" field, describe the problem in detail, including what you
expected to happen and what did happen. Be sure to include whether any
extension modules were involved, and what hardware and software platform you
were using (including version information as appropriate).
Each bug report will be assigned to a developer who will determine what needs to
be done to correct the problem. You will receive an update each time action is
taken on the bug.
.. seealso::
`How to Report Bugs Effectively <http://www.chiark.greenend.org.uk/~sgtatham/bugs.html>`_
Article which goes into some detail about how to create a useful bug report.
This describes what kind of information is useful and why it is useful.
`Bug Writing Guidelines <http://developer.mozilla.org/en/docs/Bug_writing_guidelines>`_
Information about writing a good bug report. Some of this is specific to the
Mozilla project, but describes general good practices.
Getting started contributing to Python yourself
===============================================
Beyond just reporting bugs that you find, you are also welcome to submit
patches to fix them. You can find more information on how to get started
patching Python in the `Python Developer's Guide`_. If you have questions,
the `core-mentorship mailing list`_ is a friendly place to get answers to
any and all questions pertaining to the process of fixing issues in Python.
.. _Documentation bugs: http://bugs.python.org/issue?@filter=status&@filter=components&components=4&status=1&@columns=id,activity,title,status&@sort=-activity
.. _Python Developer's Guide: http://docs.python.org/devguide/
.. _core-mentorship mailing list: https://mail.python.org/mailman/listinfo/core-mentorship/
+26
View File
@@ -0,0 +1,26 @@
.. highlightlang:: c
.. _abstract:
**********************
Abstract Objects Layer
**********************
The functions in this chapter interact with Python objects regardless of their
type, or with wide classes of object types (e.g. all numerical types, or all
sequence types). When used on object types for which they do not apply, they
will raise a Python exception.
It is not possible to use these functions on objects that are not properly
initialized, such as a list object that has been created by :c:func:`PyList_New`,
but whose items have not been set to some non-\ ``NULL`` value yet.
.. toctree::
object.rst
number.rst
sequence.rst
mapping.rst
iter.rst
buffer.rst
objbuffer.rst
+71
View File
@@ -0,0 +1,71 @@
.. highlightlang:: c
.. _allocating-objects:
Allocating Objects on the Heap
==============================
.. c:function:: PyObject* _PyObject_New(PyTypeObject *type)
.. c:function:: PyVarObject* _PyObject_NewVar(PyTypeObject *type, Py_ssize_t size)
.. c:function:: PyObject* PyObject_Init(PyObject *op, PyTypeObject *type)
Initialize a newly-allocated object *op* with its type and initial
reference. Returns the initialized object. If *type* indicates that the
object participates in the cyclic garbage detector, it is added to the
detector's set of observed objects. Other fields of the object are not
affected.
.. c:function:: PyVarObject* PyObject_InitVar(PyVarObject *op, PyTypeObject *type, Py_ssize_t size)
This does everything :c:func:`PyObject_Init` does, and also initializes the
length information for a variable-size object.
.. c:function:: TYPE* PyObject_New(TYPE, PyTypeObject *type)
Allocate a new Python object using the C structure type *TYPE* and the
Python type object *type*. Fields not defined by the Python object header
are not initialized; the object's reference count will be one. The size of
the memory allocation is determined from the :c:member:`~PyTypeObject.tp_basicsize` field of
the type object.
.. c:function:: TYPE* PyObject_NewVar(TYPE, PyTypeObject *type, Py_ssize_t size)
Allocate a new Python object using the C structure type *TYPE* and the
Python type object *type*. Fields not defined by the Python object header
are not initialized. The allocated memory allows for the *TYPE* structure
plus *size* fields of the size given by the :c:member:`~PyTypeObject.tp_itemsize` field of
*type*. This is useful for implementing objects like tuples, which are
able to determine their size at construction time. Embedding the array of
fields into the same allocation decreases the number of allocations,
improving the memory management efficiency.
.. c:function:: void PyObject_Del(PyObject *op)
Releases memory allocated to an object using :c:func:`PyObject_New` or
:c:func:`PyObject_NewVar`. This is normally called from the
:c:member:`~PyTypeObject.tp_dealloc` handler specified in the object's type. The fields of
the object should not be accessed after this call as the memory is no
longer a valid Python object.
.. c:var:: PyObject _Py_NoneStruct
Object which is visible in Python as ``None``. This should only be accessed
using the :c:macro:`Py_None` macro, which evaluates to a pointer to this
object.
.. seealso::
:c:func:`PyModule_Create`
To allocate and create extension modules.
+39
View File
@@ -0,0 +1,39 @@
.. highlightlang:: c
.. _apiabiversion:
***********************
API and ABI Versioning
***********************
``PY_VERSION_HEX`` is the Python version number encoded in a single integer.
For example if the ``PY_VERSION_HEX`` is set to ``0x030401a2``, the underlying
version information can be found by treating it as a 32 bit number in
the following manner:
+-------+-------------------------+------------------------------------------------+
| Bytes | Bits (big endian order) | Meaning |
+=======+=========================+================================================+
| ``1`` | ``1-8`` | ``PY_MAJOR_VERSION`` (the ``3`` in |
| | | ``3.4.1a2``) |
+-------+-------------------------+------------------------------------------------+
| ``2`` | ``9-16`` | ``PY_MINOR_VERSION`` (the ``4`` in |
| | | ``3.4.1a2``) |
+-------+-------------------------+------------------------------------------------+
| ``3`` | ``17-24`` | ``PY_MICRO_VERSION`` (the ``1`` in |
| | | ``3.4.1a2``) |
+-------+-------------------------+------------------------------------------------+
| ``4`` | ``25-28`` | ``PY_RELEASE_LEVEL`` (``0xA`` for alpha, |
| | | ``0xB`` for beta, ``0xC`` for release |
| | | candidate and ``0xF`` for final), in this |
| | | case it is alpha. |
+-------+-------------------------+------------------------------------------------+
| | ``29-32`` | ``PY_RELEASE_SERIAL`` (the ``2`` in |
| | | ``3.4.1a2``, zero for final releases) |
+-------+-------------------------+------------------------------------------------+
Thus ``3.4.1a2`` is hexversion ``0x030401a2``.
All the given macros are defined in :source:`Include/patchlevel.h`.
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.. highlightlang:: c
.. _boolobjects:
Boolean Objects
---------------
Booleans in Python are implemented as a subclass of integers. There are only
two booleans, :const:`Py_False` and :const:`Py_True`. As such, the normal
creation and deletion functions don't apply to booleans. The following macros
are available, however.
.. c:function:: int PyBool_Check(PyObject *o)
Return true if *o* is of type :c:data:`PyBool_Type`.
.. c:var:: PyObject* Py_False
The Python ``False`` object. This object has no methods. It needs to be
treated just like any other object with respect to reference counts.
.. c:var:: PyObject* Py_True
The Python ``True`` object. This object has no methods. It needs to be treated
just like any other object with respect to reference counts.
.. c:macro:: Py_RETURN_FALSE
Return :const:`Py_False` from a function, properly incrementing its reference
count.
.. c:macro:: Py_RETURN_TRUE
Return :const:`Py_True` from a function, properly incrementing its reference
count.
.. c:function:: PyObject* PyBool_FromLong(long v)
Return a new reference to :const:`Py_True` or :const:`Py_False` depending on the
truth value of *v*.
+496
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.. highlightlang:: c
.. index::
single: buffer protocol
single: buffer interface; (see buffer protocol)
single: buffer object; (see buffer protocol)
.. _bufferobjects:
Buffer Protocol
---------------
.. sectionauthor:: Greg Stein <gstein@lyra.org>
.. sectionauthor:: Benjamin Peterson
.. sectionauthor:: Stefan Krah
Certain objects available in Python wrap access to an underlying memory
array or *buffer*. Such objects include the built-in :class:`bytes` and
:class:`bytearray`, and some extension types like :class:`array.array`.
Third-party libraries may define their own types for special purposes, such
as image processing or numeric analysis.
While each of these types have their own semantics, they share the common
characteristic of being backed by a possibly large memory buffer. It is
then desirable, in some situations, to access that buffer directly and
without intermediate copying.
Python provides such a facility at the C level in the form of the :ref:`buffer
protocol <bufferobjects>`. This protocol has two sides:
.. index:: single: PyBufferProcs
- on the producer side, a type can export a "buffer interface" which allows
objects of that type to expose information about their underlying buffer.
This interface is described in the section :ref:`buffer-structs`;
- on the consumer side, several means are available to obtain a pointer to
the raw underlying data of an object (for example a method parameter).
Simple objects such as :class:`bytes` and :class:`bytearray` expose their
underlying buffer in byte-oriented form. Other forms are possible; for example,
the elements exposed by a :class:`array.array` can be multi-byte values.
An example consumer of the buffer interface is the :meth:`~io.BufferedIOBase.write`
method of file objects: any object that can export a series of bytes through
the buffer interface can be written to a file. While :meth:`write` only
needs read-only access to the internal contents of the object passed to it,
other methods such as :meth:`~io.BufferedIOBase.readinto` need write access
to the contents of their argument. The buffer interface allows objects to
selectively allow or reject exporting of read-write and read-only buffers.
There are two ways for a consumer of the buffer interface to acquire a buffer
over a target object:
* call :c:func:`PyObject_GetBuffer` with the right parameters;
* call :c:func:`PyArg_ParseTuple` (or one of its siblings) with one of the
``y*``, ``w*`` or ``s*`` :ref:`format codes <arg-parsing>`.
In both cases, :c:func:`PyBuffer_Release` must be called when the buffer
isn't needed anymore. Failure to do so could lead to various issues such as
resource leaks.
.. _buffer-structure:
Buffer structure
================
Buffer structures (or simply "buffers") are useful as a way to expose the
binary data from another object to the Python programmer. They can also be
used as a zero-copy slicing mechanism. Using their ability to reference a
block of memory, it is possible to expose any data to the Python programmer
quite easily. The memory could be a large, constant array in a C extension,
it could be a raw block of memory for manipulation before passing to an
operating system library, or it could be used to pass around structured data
in its native, in-memory format.
Contrary to most data types exposed by the Python interpreter, buffers
are not :c:type:`PyObject` pointers but rather simple C structures. This
allows them to be created and copied very simply. When a generic wrapper
around a buffer is needed, a :ref:`memoryview <memoryview-objects>` object
can be created.
For short instructions how to write an exporting object, see
:ref:`Buffer Object Structures <buffer-structs>`. For obtaining
a buffer, see :c:func:`PyObject_GetBuffer`.
.. c:type:: Py_buffer
.. c:member:: void \*obj
A new reference to the exporting object. The reference is owned by
the consumer and automatically decremented and set to *NULL* by
:c:func:`PyBuffer_Release`. The field is the equivalent of the return
value of any standard C-API function.
As a special case, for *temporary* buffers that are wrapped by
:c:func:`PyMemoryView_FromBuffer` or :c:func:`PyBuffer_FillInfo`
this field is *NULL*. In general, exporting objects MUST NOT
use this scheme.
.. c:member:: void \*buf
A pointer to the start of the logical structure described by the buffer
fields. This can be any location within the underlying physical memory
block of the exporter. For example, with negative :c:member:`~Py_buffer.strides`
the value may point to the end of the memory block.
For contiguous arrays, the value points to the beginning of the memory
block.
.. c:member:: Py_ssize_t len
``product(shape) * itemsize``. For contiguous arrays, this is the length
of the underlying memory block. For non-contiguous arrays, it is the length
that the logical structure would have if it were copied to a contiguous
representation.
Accessing ``((char *)buf)[0] up to ((char *)buf)[len-1]`` is only valid
if the buffer has been obtained by a request that guarantees contiguity. In
most cases such a request will be :c:macro:`PyBUF_SIMPLE` or :c:macro:`PyBUF_WRITABLE`.
.. c:member:: int readonly
An indicator of whether the buffer is read-only. This field is controlled
by the :c:macro:`PyBUF_WRITABLE` flag.
.. c:member:: Py_ssize_t itemsize
Item size in bytes of a single element. Same as the value of :func:`struct.calcsize`
called on non-NULL :c:member:`~Py_buffer.format` values.
Important exception: If a consumer requests a buffer without the
:c:macro:`PyBUF_FORMAT` flag, :c:member:`~Py_Buffer.format` will
be set to *NULL*, but :c:member:`~Py_buffer.itemsize` still has
the value for the original format.
If :c:member:`~Py_Buffer.shape` is present, the equality
``product(shape) * itemsize == len`` still holds and the consumer
can use :c:member:`~Py_buffer.itemsize` to navigate the buffer.
If :c:member:`~Py_Buffer.shape` is *NULL* as a result of a :c:macro:`PyBUF_SIMPLE`
or a :c:macro:`PyBUF_WRITABLE` request, the consumer must disregard
:c:member:`~Py_buffer.itemsize` and assume ``itemsize == 1``.
.. c:member:: const char \*format
A *NUL* terminated string in :mod:`struct` module style syntax describing
the contents of a single item. If this is *NULL*, ``"B"`` (unsigned bytes)
is assumed.
This field is controlled by the :c:macro:`PyBUF_FORMAT` flag.
.. c:member:: int ndim
The number of dimensions the memory represents as an n-dimensional array.
If it is 0, :c:member:`~Py_Buffer.buf` points to a single item representing
a scalar. In this case, :c:member:`~Py_buffer.shape`, :c:member:`~Py_buffer.strides`
and :c:member:`~Py_buffer.suboffsets` MUST be *NULL*.
The macro :c:macro:`PyBUF_MAX_NDIM` limits the maximum number of dimensions
to 64. Exporters MUST respect this limit, consumers of multi-dimensional
buffers SHOULD be able to handle up to :c:macro:`PyBUF_MAX_NDIM` dimensions.
.. c:member:: Py_ssize_t \*shape
An array of :c:type:`Py_ssize_t` of length :c:member:`~Py_buffer.ndim`
indicating the shape of the memory as an n-dimensional array. Note that
``shape[0] * ... * shape[ndim-1] * itemsize`` MUST be equal to
:c:member:`~Py_buffer.len`.
Shape values are restricted to ``shape[n] >= 0``. The case
``shape[n] == 0`` requires special attention. See `complex arrays`_
for further information.
The shape array is read-only for the consumer.
.. c:member:: Py_ssize_t \*strides
An array of :c:type:`Py_ssize_t` of length :c:member:`~Py_buffer.ndim`
giving the number of bytes to skip to get to a new element in each
dimension.
Stride values can be any integer. For regular arrays, strides are
usually positive, but a consumer MUST be able to handle the case
``strides[n] <= 0``. See `complex arrays`_ for further information.
The strides array is read-only for the consumer.
.. c:member:: Py_ssize_t \*suboffsets
An array of :c:type:`Py_ssize_t` of length :c:member:`~Py_buffer.ndim`.
If ``suboffsets[n] >= 0``, the values stored along the nth dimension are
pointers and the suboffset value dictates how many bytes to add to each
pointer after de-referencing. A suboffset value that is negative
indicates that no de-referencing should occur (striding in a contiguous
memory block).
This type of array representation is used by the Python Imaging Library
(PIL). See `complex arrays`_ for further information how to access elements
of such an array.
The suboffsets array is read-only for the consumer.
.. c:member:: void \*internal
This is for use internally by the exporting object. For example, this
might be re-cast as an integer by the exporter and used to store flags
about whether or not the shape, strides, and suboffsets arrays must be
freed when the buffer is released. The consumer MUST NOT alter this
value.
.. _buffer-request-types:
Buffer request types
====================
Buffers are usually obtained by sending a buffer request to an exporting
object via :c:func:`PyObject_GetBuffer`. Since the complexity of the logical
structure of the memory can vary drastically, the consumer uses the *flags*
argument to specify the exact buffer type it can handle.
All :c:data:`Py_buffer` fields are unambiguously defined by the request
type.
request-independent fields
~~~~~~~~~~~~~~~~~~~~~~~~~~
The following fields are not influenced by *flags* and must always be filled in
with the correct values: :c:member:`~Py_buffer.obj`, :c:member:`~Py_buffer.buf`,
:c:member:`~Py_buffer.len`, :c:member:`~Py_buffer.itemsize`, :c:member:`~Py_buffer.ndim`.
readonly, format
~~~~~~~~~~~~~~~~
.. c:macro:: PyBUF_WRITABLE
Controls the :c:member:`~Py_buffer.readonly` field. If set, the exporter
MUST provide a writable buffer or else report failure. Otherwise, the
exporter MAY provide either a read-only or writable buffer, but the choice
MUST be consistent for all consumers.
.. c:macro:: PyBUF_FORMAT
Controls the :c:member:`~Py_buffer.format` field. If set, this field MUST
be filled in correctly. Otherwise, this field MUST be *NULL*.
:c:macro:`PyBUF_WRITABLE` can be \|'d to any of the flags in the next section.
Since :c:macro:`PyBUF_SIMPLE` is defined as 0, :c:macro:`PyBUF_WRITABLE`
can be used as a stand-alone flag to request a simple writable buffer.
:c:macro:`PyBUF_FORMAT` can be \|'d to any of the flags except :c:macro:`PyBUF_SIMPLE`.
The latter already implies format ``B`` (unsigned bytes).
shape, strides, suboffsets
~~~~~~~~~~~~~~~~~~~~~~~~~~
The flags that control the logical structure of the memory are listed
in decreasing order of complexity. Note that each flag contains all bits
of the flags below it.
.. tabularcolumns:: |p{0.35\linewidth}|l|l|l|
+-----------------------------+-------+---------+------------+
| Request | shape | strides | suboffsets |
+=============================+=======+=========+============+
| .. c:macro:: PyBUF_INDIRECT | yes | yes | if needed |
+-----------------------------+-------+---------+------------+
| .. c:macro:: PyBUF_STRIDES | yes | yes | NULL |
+-----------------------------+-------+---------+------------+
| .. c:macro:: PyBUF_ND | yes | NULL | NULL |
+-----------------------------+-------+---------+------------+
| .. c:macro:: PyBUF_SIMPLE | NULL | NULL | NULL |
+-----------------------------+-------+---------+------------+
contiguity requests
~~~~~~~~~~~~~~~~~~~
C or Fortran contiguity can be explicitly requested, with and without stride
information. Without stride information, the buffer must be C-contiguous.
.. tabularcolumns:: |p{0.35\linewidth}|l|l|l|l|
+-----------------------------------+-------+---------+------------+--------+
| Request | shape | strides | suboffsets | contig |
+===================================+=======+=========+============+========+
| .. c:macro:: PyBUF_C_CONTIGUOUS | yes | yes | NULL | C |
+-----------------------------------+-------+---------+------------+--------+
| .. c:macro:: PyBUF_F_CONTIGUOUS | yes | yes | NULL | F |
+-----------------------------------+-------+---------+------------+--------+
| .. c:macro:: PyBUF_ANY_CONTIGUOUS | yes | yes | NULL | C or F |
+-----------------------------------+-------+---------+------------+--------+
| .. c:macro:: PyBUF_ND | yes | NULL | NULL | C |
+-----------------------------------+-------+---------+------------+--------+
compound requests
~~~~~~~~~~~~~~~~~
All possible requests are fully defined by some combination of the flags in
the previous section. For convenience, the buffer protocol provides frequently
used combinations as single flags.
In the following table *U* stands for undefined contiguity. The consumer would
have to call :c:func:`PyBuffer_IsContiguous` to determine contiguity.
.. tabularcolumns:: |p{0.35\linewidth}|l|l|l|l|l|l|
+-------------------------------+-------+---------+------------+--------+----------+--------+
| Request | shape | strides | suboffsets | contig | readonly | format |
+===============================+=======+=========+============+========+==========+========+
| .. c:macro:: PyBUF_FULL | yes | yes | if needed | U | 0 | yes |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_FULL_RO | yes | yes | if needed | U | 1 or 0 | yes |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_RECORDS | yes | yes | NULL | U | 0 | yes |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_RECORDS_RO | yes | yes | NULL | U | 1 or 0 | yes |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_STRIDED | yes | yes | NULL | U | 0 | NULL |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_STRIDED_RO | yes | yes | NULL | U | 1 or 0 | NULL |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_CONTIG | yes | NULL | NULL | C | 0 | NULL |
+-------------------------------+-------+---------+------------+--------+----------+--------+
| .. c:macro:: PyBUF_CONTIG_RO | yes | NULL | NULL | C | 1 or 0 | NULL |
+-------------------------------+-------+---------+------------+--------+----------+--------+
Complex arrays
==============
NumPy-style: shape and strides
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The logical structure of NumPy-style arrays is defined by :c:member:`~Py_buffer.itemsize`,
:c:member:`~Py_buffer.ndim`, :c:member:`~Py_buffer.shape` and :c:member:`~Py_buffer.strides`.
If ``ndim == 0``, the memory location pointed to by :c:member:`~Py_buffer.buf` is
interpreted as a scalar of size :c:member:`~Py_buffer.itemsize`. In that case,
both :c:member:`~Py_buffer.shape` and :c:member:`~Py_buffer.strides` are *NULL*.
If :c:member:`~Py_buffer.strides` is *NULL*, the array is interpreted as
a standard n-dimensional C-array. Otherwise, the consumer must access an
n-dimensional array as follows:
``ptr = (char *)buf + indices[0] * strides[0] + ... + indices[n-1] * strides[n-1]``
``item = *((typeof(item) *)ptr);``
As noted above, :c:member:`~Py_buffer.buf` can point to any location within
the actual memory block. An exporter can check the validity of a buffer with
this function:
.. code-block:: python
def verify_structure(memlen, itemsize, ndim, shape, strides, offset):
"""Verify that the parameters represent a valid array within
the bounds of the allocated memory:
char *mem: start of the physical memory block
memlen: length of the physical memory block
offset: (char *)buf - mem
"""
if offset % itemsize:
return False
if offset < 0 or offset+itemsize > memlen:
return False
if any(v % itemsize for v in strides):
return False
if ndim <= 0:
return ndim == 0 and not shape and not strides
if 0 in shape:
return True
imin = sum(strides[j]*(shape[j]-1) for j in range(ndim)
if strides[j] <= 0)
imax = sum(strides[j]*(shape[j]-1) for j in range(ndim)
if strides[j] > 0)
return 0 <= offset+imin and offset+imax+itemsize <= memlen
PIL-style: shape, strides and suboffsets
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In addition to the regular items, PIL-style arrays can contain pointers
that must be followed in order to get to the next element in a dimension.
For example, the regular three-dimensional C-array ``char v[2][2][3]`` can
also be viewed as an array of 2 pointers to 2 two-dimensional arrays:
``char (*v[2])[2][3]``. In suboffsets representation, those two pointers
can be embedded at the start of :c:member:`~Py_buffer.buf`, pointing
to two ``char x[2][3]`` arrays that can be located anywhere in memory.
Here is a function that returns a pointer to the element in an N-D array
pointed to by an N-dimensional index when there are both non-NULL strides
and suboffsets::
void *get_item_pointer(int ndim, void *buf, Py_ssize_t *strides,
Py_ssize_t *suboffsets, Py_ssize_t *indices) {
char *pointer = (char*)buf;
int i;
for (i = 0; i < ndim; i++) {
pointer += strides[i] * indices[i];
if (suboffsets[i] >=0 ) {
pointer = *((char**)pointer) + suboffsets[i];
}
}
return (void*)pointer;
}
Buffer-related functions
========================
.. c:function:: int PyObject_CheckBuffer(PyObject *obj)
Return 1 if *obj* supports the buffer interface otherwise 0. When 1 is
returned, it doesn't guarantee that :c:func:`PyObject_GetBuffer` will
succeed.
.. c:function:: int PyObject_GetBuffer(PyObject *exporter, Py_buffer *view, int flags)
Send a request to *exporter* to fill in *view* as specified by *flags*.
If the exporter cannot provide a buffer of the exact type, it MUST raise
:c:data:`PyExc_BufferError`, set :c:member:`view->obj` to *NULL* and
return -1.
On success, fill in *view*, set :c:member:`view->obj` to a new reference
to *exporter* and return 0. In the case of chained buffer providers
that redirect requests to a single object, :c:member:`view->obj` MAY
refer to this object instead of *exporter* (See :ref:`Buffer Object Structures <buffer-structs>`).
Successful calls to :c:func:`PyObject_GetBuffer` must be paired with calls
to :c:func:`PyBuffer_Release`, similar to :c:func:`malloc` and :c:func:`free`.
Thus, after the consumer is done with the buffer, :c:func:`PyBuffer_Release`
must be called exactly once.
.. c:function:: void PyBuffer_Release(Py_buffer *view)
Release the buffer *view* and decrement the reference count for
:c:member:`view->obj`. This function MUST be called when the buffer
is no longer being used, otherwise reference leaks may occur.
It is an error to call this function on a buffer that was not obtained via
:c:func:`PyObject_GetBuffer`.
.. c:function:: Py_ssize_t PyBuffer_SizeFromFormat(const char *)
Return the implied :c:data:`~Py_buffer.itemsize` from :c:data:`~Py_buffer.format`.
This function is not yet implemented.
.. c:function:: int PyBuffer_IsContiguous(Py_buffer *view, char order)
Return 1 if the memory defined by the *view* is C-style (*order* is
``'C'``) or Fortran-style (*order* is ``'F'``) contiguous or either one
(*order* is ``'A'``). Return 0 otherwise.
.. c:function:: void PyBuffer_FillContiguousStrides(int ndim, Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t itemsize, char order)
Fill the *strides* array with byte-strides of a contiguous (C-style if
*order* is ``'C'`` or Fortran-style if *order* is ``'F'``) array of the
given shape with the given number of bytes per element.
.. c:function:: int PyBuffer_FillInfo(Py_buffer *view, PyObject *exporter, void *buf, Py_ssize_t len, int readonly, int flags)
Handle buffer requests for an exporter that wants to expose *buf* of size *len*
with writability set according to *readonly*. *buf* is interpreted as a sequence
of unsigned bytes.
The *flags* argument indicates the request type. This function always fills in
*view* as specified by flags, unless *buf* has been designated as read-only
and :c:macro:`PyBUF_WRITABLE` is set in *flags*.
On success, set :c:member:`view->obj` to a new reference to *exporter* and
return 0. Otherwise, raise :c:data:`PyExc_BufferError`, set
:c:member:`view->obj` to *NULL* and return -1;
If this function is used as part of a :ref:`getbufferproc <buffer-structs>`,
*exporter* MUST be set to the exporting object. Otherwise, *exporter* MUST
be NULL.
+86
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.. highlightlang:: c
.. _bytearrayobjects:
Byte Array Objects
------------------
.. index:: object: bytearray
.. c:type:: PyByteArrayObject
This subtype of :c:type:`PyObject` represents a Python bytearray object.
.. c:var:: PyTypeObject PyByteArray_Type
This instance of :c:type:`PyTypeObject` represents the Python bytearray type;
it is the same object as :class:`bytearray` in the Python layer.
Type check macros
^^^^^^^^^^^^^^^^^
.. c:function:: int PyByteArray_Check(PyObject *o)
Return true if the object *o* is a bytearray object or an instance of a
subtype of the bytearray type.
.. c:function:: int PyByteArray_CheckExact(PyObject *o)
Return true if the object *o* is a bytearray object, but not an instance of a
subtype of the bytearray type.
Direct API functions
^^^^^^^^^^^^^^^^^^^^
.. c:function:: PyObject* PyByteArray_FromObject(PyObject *o)
Return a new bytearray object from any object, *o*, that implements the
:ref:`buffer protocol <bufferobjects>`.
.. XXX expand about the buffer protocol, at least somewhere
.. c:function:: PyObject* PyByteArray_FromStringAndSize(const char *string, Py_ssize_t len)
Create a new bytearray object from *string* and its length, *len*. On
failure, *NULL* is returned.
.. c:function:: PyObject* PyByteArray_Concat(PyObject *a, PyObject *b)
Concat bytearrays *a* and *b* and return a new bytearray with the result.
.. c:function:: Py_ssize_t PyByteArray_Size(PyObject *bytearray)
Return the size of *bytearray* after checking for a *NULL* pointer.
.. c:function:: char* PyByteArray_AsString(PyObject *bytearray)
Return the contents of *bytearray* as a char array after checking for a
*NULL* pointer.
.. c:function:: int PyByteArray_Resize(PyObject *bytearray, Py_ssize_t len)
Resize the internal buffer of *bytearray* to *len*.
Macros
^^^^^^
These macros trade safety for speed and they don't check pointers.
.. c:function:: char* PyByteArray_AS_STRING(PyObject *bytearray)
Macro version of :c:func:`PyByteArray_AsString`.
.. c:function:: Py_ssize_t PyByteArray_GET_SIZE(PyObject *bytearray)
Macro version of :c:func:`PyByteArray_Size`.
+194
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.. highlightlang:: c
.. _bytesobjects:
Bytes Objects
-------------
These functions raise :exc:`TypeError` when expecting a bytes parameter and are
called with a non-bytes parameter.
.. index:: object: bytes
.. c:type:: PyBytesObject
This subtype of :c:type:`PyObject` represents a Python bytes object.
.. c:var:: PyTypeObject PyBytes_Type
This instance of :c:type:`PyTypeObject` represents the Python bytes type; it
is the same object as :class:`bytes` in the Python layer.
.. c:function:: int PyBytes_Check(PyObject *o)
Return true if the object *o* is a bytes object or an instance of a subtype
of the bytes type.
.. c:function:: int PyBytes_CheckExact(PyObject *o)
Return true if the object *o* is a bytes object, but not an instance of a
subtype of the bytes type.
.. c:function:: PyObject* PyBytes_FromString(const char *v)
Return a new bytes object with a copy of the string *v* as value on success,
and *NULL* on failure. The parameter *v* must not be *NULL*; it will not be
checked.
.. c:function:: PyObject* PyBytes_FromStringAndSize(const char *v, Py_ssize_t len)
Return a new bytes object with a copy of the string *v* as value and length
*len* on success, and *NULL* on failure. If *v* is *NULL*, the contents of
the bytes object are uninitialized.
.. c:function:: PyObject* PyBytes_FromFormat(const char *format, ...)
Take a C :c:func:`printf`\ -style *format* string and a variable number of
arguments, calculate the size of the resulting Python bytes object and return
a bytes object with the values formatted into it. The variable arguments
must be C types and must correspond exactly to the format characters in the
*format* string. The following format characters are allowed:
.. % XXX: This should be exactly the same as the table in PyErr_Format.
.. % One should just refer to the other.
.. % XXX: The descriptions for %zd and %zu are wrong, but the truth is complicated
.. % because not all compilers support the %z width modifier -- we fake it
.. % when necessary via interpolating PY_FORMAT_SIZE_T.
.. tabularcolumns:: |l|l|L|
+-------------------+---------------+--------------------------------+
| Format Characters | Type | Comment |
+===================+===============+================================+
| :attr:`%%` | *n/a* | The literal % character. |
+-------------------+---------------+--------------------------------+
| :attr:`%c` | int | A single character, |
| | | represented as an C int. |
+-------------------+---------------+--------------------------------+
| :attr:`%d` | int | Exactly equivalent to |
| | | ``printf("%d")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%u` | unsigned int | Exactly equivalent to |
| | | ``printf("%u")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%ld` | long | Exactly equivalent to |
| | | ``printf("%ld")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%lu` | unsigned long | Exactly equivalent to |
| | | ``printf("%lu")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%zd` | Py_ssize_t | Exactly equivalent to |
| | | ``printf("%zd")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%zu` | size_t | Exactly equivalent to |
| | | ``printf("%zu")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%i` | int | Exactly equivalent to |
| | | ``printf("%i")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%x` | int | Exactly equivalent to |
| | | ``printf("%x")``. |
+-------------------+---------------+--------------------------------+
| :attr:`%s` | char\* | A null-terminated C character |
| | | array. |
+-------------------+---------------+--------------------------------+
| :attr:`%p` | void\* | The hex representation of a C |
| | | pointer. Mostly equivalent to |
| | | ``printf("%p")`` except that |
| | | it is guaranteed to start with |
| | | the literal ``0x`` regardless |
| | | of what the platform's |
| | | ``printf`` yields. |
+-------------------+---------------+--------------------------------+
An unrecognized format character causes all the rest of the format string to be
copied as-is to the result string, and any extra arguments discarded.
.. c:function:: PyObject* PyBytes_FromFormatV(const char *format, va_list vargs)
Identical to :c:func:`PyBytes_FromFormat` except that it takes exactly two
arguments.
.. c:function:: PyObject* PyBytes_FromObject(PyObject *o)
Return the bytes representation of object *o* that implements the buffer
protocol.
.. c:function:: Py_ssize_t PyBytes_Size(PyObject *o)
Return the length of the bytes in bytes object *o*.
.. c:function:: Py_ssize_t PyBytes_GET_SIZE(PyObject *o)
Macro form of :c:func:`PyBytes_Size` but without error checking.
.. c:function:: char* PyBytes_AsString(PyObject *o)
Return a NUL-terminated representation of the contents of *o*. The pointer
refers to the internal buffer of *o*, not a copy. The data must not be
modified in any way, unless the string was just created using
``PyBytes_FromStringAndSize(NULL, size)``. It must not be deallocated. If
*o* is not a string object at all, :c:func:`PyBytes_AsString` returns *NULL*
and raises :exc:`TypeError`.
.. c:function:: char* PyBytes_AS_STRING(PyObject *string)
Macro form of :c:func:`PyBytes_AsString` but without error checking.
.. c:function:: int PyBytes_AsStringAndSize(PyObject *obj, char **buffer, Py_ssize_t *length)
Return a NUL-terminated representation of the contents of the object *obj*
through the output variables *buffer* and *length*.
If *length* is *NULL*, the resulting buffer may not contain NUL characters;
if it does, the function returns ``-1`` and a :exc:`TypeError` is raised.
The buffer refers to an internal string buffer of *obj*, not a copy. The data
must not be modified in any way, unless the string was just created using
``PyBytes_FromStringAndSize(NULL, size)``. It must not be deallocated. If
*string* is not a string object at all, :c:func:`PyBytes_AsStringAndSize`
returns ``-1`` and raises :exc:`TypeError`.
.. c:function:: void PyBytes_Concat(PyObject **bytes, PyObject *newpart)
Create a new bytes object in *\*bytes* containing the contents of *newpart*
appended to *bytes*; the caller will own the new reference. The reference to
the old value of *bytes* will be stolen. If the new string cannot be
created, the old reference to *bytes* will still be discarded and the value
of *\*bytes* will be set to *NULL*; the appropriate exception will be set.
.. c:function:: void PyBytes_ConcatAndDel(PyObject **bytes, PyObject *newpart)
Create a new string object in *\*bytes* containing the contents of *newpart*
appended to *bytes*. This version decrements the reference count of
*newpart*.
.. c:function:: int _PyBytes_Resize(PyObject **bytes, Py_ssize_t newsize)
A way to resize a bytes object even though it is "immutable". Only use this
to build up a brand new bytes object; don't use this if the bytes may already
be known in other parts of the code. It is an error to call this function if
the refcount on the input bytes object is not one. Pass the address of an
existing bytes object as an lvalue (it may be written into), and the new size
desired. On success, *\*bytes* holds the resized bytes object and ``0`` is
returned; the address in *\*bytes* may differ from its input value. If the
reallocation fails, the original bytes object at *\*bytes* is deallocated,
*\*bytes* is set to *NULL*, a memory exception is set, and ``-1`` is
returned.
+150
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.. highlightlang:: c
.. _capsules:
Capsules
--------
.. index:: object: Capsule
Refer to :ref:`using-capsules` for more information on using these objects.
.. c:type:: PyCapsule
This subtype of :c:type:`PyObject` represents an opaque value, useful for C
extension modules who need to pass an opaque value (as a :c:type:`void\*`
pointer) through Python code to other C code. It is often used to make a C
function pointer defined in one module available to other modules, so the
regular import mechanism can be used to access C APIs defined in dynamically
loaded modules.
.. c:type:: PyCapsule_Destructor
The type of a destructor callback for a capsule. Defined as::
typedef void (*PyCapsule_Destructor)(PyObject *);
See :c:func:`PyCapsule_New` for the semantics of PyCapsule_Destructor
callbacks.
.. c:function:: int PyCapsule_CheckExact(PyObject *p)
Return true if its argument is a :c:type:`PyCapsule`.
.. c:function:: PyObject* PyCapsule_New(void *pointer, const char *name, PyCapsule_Destructor destructor)
Create a :c:type:`PyCapsule` encapsulating the *pointer*. The *pointer*
argument may not be *NULL*.
On failure, set an exception and return *NULL*.
The *name* string may either be *NULL* or a pointer to a valid C string. If
non-*NULL*, this string must outlive the capsule. (Though it is permitted to
free it inside the *destructor*.)
If the *destructor* argument is not *NULL*, it will be called with the
capsule as its argument when it is destroyed.
If this capsule will be stored as an attribute of a module, the *name* should
be specified as ``modulename.attributename``. This will enable other modules
to import the capsule using :c:func:`PyCapsule_Import`.
.. c:function:: void* PyCapsule_GetPointer(PyObject *capsule, const char *name)
Retrieve the *pointer* stored in the capsule. On failure, set an exception
and return *NULL*.
The *name* parameter must compare exactly to the name stored in the capsule.
If the name stored in the capsule is *NULL*, the *name* passed in must also
be *NULL*. Python uses the C function :c:func:`strcmp` to compare capsule
names.
.. c:function:: PyCapsule_Destructor PyCapsule_GetDestructor(PyObject *capsule)
Return the current destructor stored in the capsule. On failure, set an
exception and return *NULL*.
It is legal for a capsule to have a *NULL* destructor. This makes a *NULL*
return code somewhat ambiguous; use :c:func:`PyCapsule_IsValid` or
:c:func:`PyErr_Occurred` to disambiguate.
.. c:function:: void* PyCapsule_GetContext(PyObject *capsule)
Return the current context stored in the capsule. On failure, set an
exception and return *NULL*.
It is legal for a capsule to have a *NULL* context. This makes a *NULL*
return code somewhat ambiguous; use :c:func:`PyCapsule_IsValid` or
:c:func:`PyErr_Occurred` to disambiguate.
.. c:function:: const char* PyCapsule_GetName(PyObject *capsule)
Return the current name stored in the capsule. On failure, set an exception
and return *NULL*.
It is legal for a capsule to have a *NULL* name. This makes a *NULL* return
code somewhat ambiguous; use :c:func:`PyCapsule_IsValid` or
:c:func:`PyErr_Occurred` to disambiguate.
.. c:function:: void* PyCapsule_Import(const char *name, int no_block)
Import a pointer to a C object from a capsule attribute in a module. The
*name* parameter should specify the full name to the attribute, as in
``module.attribute``. The *name* stored in the capsule must match this
string exactly. If *no_block* is true, import the module without blocking
(using :c:func:`PyImport_ImportModuleNoBlock`). If *no_block* is false,
import the module conventionally (using :c:func:`PyImport_ImportModule`).
Return the capsule's internal *pointer* on success. On failure, set an
exception and return *NULL*. However, if :c:func:`PyCapsule_Import` failed to
import the module, and *no_block* was true, no exception is set.
.. c:function:: int PyCapsule_IsValid(PyObject *capsule, const char *name)
Determines whether or not *capsule* is a valid capsule. A valid capsule is
non-*NULL*, passes :c:func:`PyCapsule_CheckExact`, has a non-*NULL* pointer
stored in it, and its internal name matches the *name* parameter. (See
:c:func:`PyCapsule_GetPointer` for information on how capsule names are
compared.)
In other words, if :c:func:`PyCapsule_IsValid` returns a true value, calls to
any of the accessors (any function starting with :c:func:`PyCapsule_Get`) are
guaranteed to succeed.
Return a nonzero value if the object is valid and matches the name passed in.
Return 0 otherwise. This function will not fail.
.. c:function:: int PyCapsule_SetContext(PyObject *capsule, void *context)
Set the context pointer inside *capsule* to *context*.
Return 0 on success. Return nonzero and set an exception on failure.
.. c:function:: int PyCapsule_SetDestructor(PyObject *capsule, PyCapsule_Destructor destructor)
Set the destructor inside *capsule* to *destructor*.
Return 0 on success. Return nonzero and set an exception on failure.
.. c:function:: int PyCapsule_SetName(PyObject *capsule, const char *name)
Set the name inside *capsule* to *name*. If non-*NULL*, the name must
outlive the capsule. If the previous *name* stored in the capsule was not
*NULL*, no attempt is made to free it.
Return 0 on success. Return nonzero and set an exception on failure.
.. c:function:: int PyCapsule_SetPointer(PyObject *capsule, void *pointer)
Set the void pointer inside *capsule* to *pointer*. The pointer may not be
*NULL*.
Return 0 on success. Return nonzero and set an exception on failure.
+62
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.. highlightlang:: c
.. _cell-objects:
Cell Objects
------------
"Cell" objects are used to implement variables referenced by multiple scopes.
For each such variable, a cell object is created to store the value; the local
variables of each stack frame that references the value contains a reference to
the cells from outer scopes which also use that variable. When the value is
accessed, the value contained in the cell is used instead of the cell object
itself. This de-referencing of the cell object requires support from the
generated byte-code; these are not automatically de-referenced when accessed.
Cell objects are not likely to be useful elsewhere.
.. c:type:: PyCellObject
The C structure used for cell objects.
.. c:var:: PyTypeObject PyCell_Type
The type object corresponding to cell objects.
.. c:function:: int PyCell_Check(ob)
Return true if *ob* is a cell object; *ob* must not be *NULL*.
.. c:function:: PyObject* PyCell_New(PyObject *ob)
Create and return a new cell object containing the value *ob*. The parameter may
be *NULL*.
.. c:function:: PyObject* PyCell_Get(PyObject *cell)
Return the contents of the cell *cell*.
.. c:function:: PyObject* PyCell_GET(PyObject *cell)
Return the contents of the cell *cell*, but without checking that *cell* is
non-*NULL* and a cell object.
.. c:function:: int PyCell_Set(PyObject *cell, PyObject *value)
Set the contents of the cell object *cell* to *value*. This releases the
reference to any current content of the cell. *value* may be *NULL*. *cell*
must be non-*NULL*; if it is not a cell object, ``-1`` will be returned. On
success, ``0`` will be returned.
.. c:function:: void PyCell_SET(PyObject *cell, PyObject *value)
Sets the value of the cell object *cell* to *value*. No reference counts are
adjusted, and no checks are made for safety; *cell* must be non-*NULL* and must
be a cell object.

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