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# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1990-2016, Python Software Foundation
# This file is distributed under the same license as the Python package.
# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Python 2.7\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2016-10-30 10:44+0100\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
#: ../Doc/c-api/memory.rst:8
msgid "Memory Management"
msgstr ""
#: ../Doc/c-api/memory.rst:17
msgid "Overview"
msgstr "Aperçu"
#: ../Doc/c-api/memory.rst:19
msgid ""
"Memory management in Python involves a private heap containing all Python "
"objects and data structures. The management of this private heap is ensured "
"internally by the *Python memory manager*. The Python memory manager has "
"different components which deal with various dynamic storage management "
"aspects, like sharing, segmentation, preallocation or caching."
msgstr ""
#: ../Doc/c-api/memory.rst:25
msgid ""
"At the lowest level, a raw memory allocator ensures that there is enough "
"room in the private heap for storing all Python-related data by interacting "
"with the memory manager of the operating system. On top of the raw memory "
"allocator, several object-specific allocators operate on the same heap and "
"implement distinct memory management policies adapted to the peculiarities "
"of every object type. For example, integer objects are managed differently "
"within the heap than strings, tuples or dictionaries because integers imply "
"different storage requirements and speed/space tradeoffs. The Python memory "
"manager thus delegates some of the work to the object-specific allocators, "
"but ensures that the latter operate within the bounds of the private heap."
msgstr ""
#: ../Doc/c-api/memory.rst:36
msgid ""
"It is important to understand that the management of the Python heap is "
"performed by the interpreter itself and that the user has no control over "
"it, even if she regularly manipulates object pointers to memory blocks "
"inside that heap. The allocation of heap space for Python objects and other "
"internal buffers is performed on demand by the Python memory manager through "
"the Python/C API functions listed in this document."
msgstr ""
#: ../Doc/c-api/memory.rst:49
msgid ""
"To avoid memory corruption, extension writers should never try to operate on "
"Python objects with the functions exported by the C library: :c:func:"
"`malloc`, :c:func:`calloc`, :c:func:`realloc` and :c:func:`free`. This will "
"result in mixed calls between the C allocator and the Python memory manager "
"with fatal consequences, because they implement different algorithms and "
"operate on different heaps. However, one may safely allocate and release "
"memory blocks with the C library allocator for individual purposes, as shown "
"in the following example::"
msgstr ""
#: ../Doc/c-api/memory.rst:68
msgid ""
"In this example, the memory request for the I/O buffer is handled by the C "
"library allocator. The Python memory manager is involved only in the "
"allocation of the string object returned as a result."
msgstr ""
#: ../Doc/c-api/memory.rst:72
msgid ""
"In most situations, however, it is recommended to allocate memory from the "
"Python heap specifically because the latter is under control of the Python "
"memory manager. For example, this is required when the interpreter is "
"extended with new object types written in C. Another reason for using the "
"Python heap is the desire to *inform* the Python memory manager about the "
"memory needs of the extension module. Even when the requested memory is used "
"exclusively for internal, highly-specific purposes, delegating all memory "
"requests to the Python memory manager causes the interpreter to have a more "
"accurate image of its memory footprint as a whole. Consequently, under "
"certain circumstances, the Python memory manager may or may not trigger "
"appropriate actions, like garbage collection, memory compaction or other "
"preventive procedures. Note that by using the C library allocator as shown "
"in the previous example, the allocated memory for the I/O buffer escapes "
"completely the Python memory manager."
msgstr ""
#: ../Doc/c-api/memory.rst:90
msgid "Memory Interface"
msgstr ""
#: ../Doc/c-api/memory.rst:92
msgid ""
"The following function sets, modeled after the ANSI C standard, but "
"specifying behavior when requesting zero bytes, are available for allocating "
"and releasing memory from the Python heap:"
msgstr ""
#: ../Doc/c-api/memory.rst:99
msgid ""
"Allocates *n* bytes and returns a pointer of type :c:type:`void\\*` to the "
"allocated memory, or *NULL* if the request fails. Requesting zero bytes "
"returns a distinct non-*NULL* pointer if possible, as if ``PyMem_Malloc(1)`` "
"had been called instead. The memory will not have been initialized in any "
"way."
msgstr ""
#: ../Doc/c-api/memory.rst:107
msgid ""
"Resizes the memory block pointed to by *p* to *n* bytes. The contents will "
"be unchanged to the minimum of the old and the new sizes. If *p* is *NULL*, "
"the call is equivalent to ``PyMem_Malloc(n)``; else if *n* is equal to zero, "
"the memory block is resized but is not freed, and the returned pointer is "
"non-*NULL*. Unless *p* is *NULL*, it must have been returned by a previous "
"call to :c:func:`PyMem_Malloc` or :c:func:`PyMem_Realloc`. If the request "
"fails, :c:func:`PyMem_Realloc` returns *NULL* and *p* remains a valid "
"pointer to the previous memory area."
msgstr ""
#: ../Doc/c-api/memory.rst:119
msgid ""
"Frees the memory block pointed to by *p*, which must have been returned by a "
"previous call to :c:func:`PyMem_Malloc` or :c:func:`PyMem_Realloc`. "
"Otherwise, or if ``PyMem_Free(p)`` has been called before, undefined "
"behavior occurs. If *p* is *NULL*, no operation is performed."
msgstr ""
#: ../Doc/c-api/memory.rst:124
msgid ""
"The following type-oriented macros are provided for convenience. Note that "
"*TYPE* refers to any C type."
msgstr ""
#: ../Doc/c-api/memory.rst:130
msgid ""
"Same as :c:func:`PyMem_Malloc`, but allocates ``(n * sizeof(TYPE))`` bytes "
"of memory. Returns a pointer cast to :c:type:`TYPE\\*`. The memory will "
"not have been initialized in any way."
msgstr ""
#: ../Doc/c-api/memory.rst:137
msgid ""
"Same as :c:func:`PyMem_Realloc`, but the memory block is resized to ``(n * "
"sizeof(TYPE))`` bytes. Returns a pointer cast to :c:type:`TYPE\\*`. On "
"return, *p* will be a pointer to the new memory area, or *NULL* in the event "
"of failure. This is a C preprocessor macro; p is always reassigned. Save "
"the original value of p to avoid losing memory when handling errors."
msgstr ""
#: ../Doc/c-api/memory.rst:146
msgid "Same as :c:func:`PyMem_Free`."
msgstr ""
#: ../Doc/c-api/memory.rst:148
msgid ""
"In addition, the following macro sets are provided for calling the Python "
"memory allocator directly, without involving the C API functions listed "
"above. However, note that their use does not preserve binary compatibility "
"across Python versions and is therefore deprecated in extension modules."
msgstr ""
#: ../Doc/c-api/memory.rst:153
msgid ":c:func:`PyMem_MALLOC`, :c:func:`PyMem_REALLOC`, :c:func:`PyMem_FREE`."
msgstr ""
#: ../Doc/c-api/memory.rst:155
msgid ":c:func:`PyMem_NEW`, :c:func:`PyMem_RESIZE`, :c:func:`PyMem_DEL`."
msgstr ""
#: ../Doc/c-api/memory.rst:161
msgid "Examples"
msgstr "Exemples"
#: ../Doc/c-api/memory.rst:163
msgid ""
"Here is the example from section :ref:`memoryoverview`, rewritten so that "
"the I/O buffer is allocated from the Python heap by using the first function "
"set::"
msgstr ""
#: ../Doc/c-api/memory.rst:176
msgid "The same code using the type-oriented function set::"
msgstr ""
#: ../Doc/c-api/memory.rst:188
msgid ""
"Note that in the two examples above, the buffer is always manipulated via "
"functions belonging to the same set. Indeed, it is required to use the same "
"memory API family for a given memory block, so that the risk of mixing "
"different allocators is reduced to a minimum. The following code sequence "
"contains two errors, one of which is labeled as *fatal* because it mixes two "
"different allocators operating on different heaps. ::"
msgstr ""
#: ../Doc/c-api/memory.rst:203
msgid ""
"In addition to the functions aimed at handling raw memory blocks from the "
"Python heap, objects in Python are allocated and released with :c:func:"
"`PyObject_New`, :c:func:`PyObject_NewVar` and :c:func:`PyObject_Del`."
msgstr ""
#: ../Doc/c-api/memory.rst:207
msgid ""
"These will be explained in the next chapter on defining and implementing new "
"object types in C."
msgstr ""