Move obmalloc item into C API section
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@ -2219,8 +2219,8 @@ which modifies the interpreter to use a \ctype{Py_ssize_t} type
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definition instead of \ctype{int}. See the earlier
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section~\ref{pep-353} for a discussion of this change.
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\item The design of the bytecode compiler has changed a great deal, to
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no longer generate bytecode by traversing the parse tree. Instead
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\item The design of the bytecode compiler has changed a great deal,
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no longer generating bytecode by traversing the parse tree. Instead
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the parse tree is converted to an abstract syntax tree (or AST), and it is
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the abstract syntax tree that's traversed to produce the bytecode.
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@ -2261,6 +2261,32 @@ Grant Edwards, John Ehresman, Kurt Kaiser, Neal Norwitz, Tim Peters,
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Armin Rigo, and Neil Schemenauer, plus the participants in a number of
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AST sprints at conferences such as PyCon.
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\item Evan Jones's patch to obmalloc, first described in a talk
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at PyCon DC 2005, was applied. Python 2.4 allocated small objects in
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256K-sized arenas, but never freed arenas. With this patch, Python
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will free arenas when they're empty. The net effect is that on some
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platforms, when you allocate many objects, Python's memory usage may
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actually drop when you delete them and the memory may be returned to
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the operating system. (Implemented by Evan Jones, and reworked by Tim
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Peters.)
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Note that this change means extension modules must be more careful
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when allocating memory. Python's API has many different
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functions for allocating memory that are grouped into families. For
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example, \cfunction{PyMem_Malloc()}, \cfunction{PyMem_Realloc()}, and
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\cfunction{PyMem_Free()} are one family that allocates raw memory,
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while \cfunction{PyObject_Malloc()}, \cfunction{PyObject_Realloc()},
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and \cfunction{PyObject_Free()} are another family that's supposed to
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be used for creating Python objects.
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Previously these different families all reduced to the platform's
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\cfunction{malloc()} and \cfunction{free()} functions. This meant
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it didn't matter if you got things wrong and allocated memory with the
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\cfunction{PyMem} function but freed it with the \cfunction{PyObject}
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function. With 2.5's changes to obmalloc, these families now do different
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things and mismatches will probably result in a segfault. You should
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carefully test your C extension modules with Python 2.5.
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\item The built-in set types now have an official C API. Call
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\cfunction{PySet_New()} and \cfunction{PyFrozenSet_New()} to create a
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new set, \cfunction{PySet_Add()} and \cfunction{PySet_Discard()} to
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@ -2347,32 +2373,6 @@ Some of the more notable changes are:
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\begin{itemize}
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\item Evan Jones's patch to obmalloc, first described in a talk
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at PyCon DC 2005, was applied. Python 2.4 allocated small objects in
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256K-sized arenas, but never freed arenas. With this patch, Python
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will free arenas when they're empty. The net effect is that on some
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platforms, when you allocate many objects, Python's memory usage may
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actually drop when you delete them, and the memory may be returned to
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the operating system. (Implemented by Evan Jones, and reworked by Tim
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Peters.)
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Note that this change means extension modules need to be more careful
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with how they allocate memory. Python's API has many different
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functions for allocating memory that are grouped into families. For
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example, \cfunction{PyMem_Malloc()}, \cfunction{PyMem_Realloc()}, and
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\cfunction{PyMem_Free()} are one family that allocates raw memory,
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while \cfunction{PyObject_Malloc()}, \cfunction{PyObject_Realloc()},
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and \cfunction{PyObject_Free()} are another family that's supposed to
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be used for creating Python objects.
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Previously these different families all reduced to the platform's
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\cfunction{malloc()} and \cfunction{free()} functions. This meant
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it didn't matter if you got things wrong and allocated memory with the
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\cfunction{PyMem} function but freed it with the \cfunction{PyObject}
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function. With the obmalloc change, these families now do different
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things, and mismatches will probably result in a segfault. You should
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carefully test your C extension modules with Python 2.5.
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\item Coverity, a company that markets a source code analysis tool
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called Prevent, provided the results of their examination of the Python
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source code. The analysis found about 60 bugs that
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@ -2444,7 +2444,7 @@ suggestions, corrections and assistance with various drafts of this
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article: Nick Coghlan, Phillip J. Eby, Lars Gust\"abel, Raymond Hettinger, Ralf
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W. Grosse-Kunstleve, Kent Johnson, Martin von~L\"owis, Fredrik Lundh,
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Andrew McNamara, Skip Montanaro,
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Gustavo Niemeyer, James Pryor, Mike Rovner, Scott Weikart, Barry
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Gustavo Niemeyer, Paul Prescod, James Pryor, Mike Rovner, Scott Weikart, Barry
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Warsaw, Thomas Wouters.
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\end{document}
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