Merged revisions 87101,87146,87156,87172,87175,87371,87378,87522-87524,87526-87528,87530-87536,87581 via svnmerge from

svn+ssh://svn.python.org/python/branches/py3k

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  r87101 | georg.brandl | 2010-12-06 23:02:48 +0100 (Mo, 06 Dez 2010) | 1 line

  Remove visible XXX comments.
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  r87146 | georg.brandl | 2010-12-09 19:08:43 +0100 (Do, 09 Dez 2010) | 1 line

  Fix "seperate".
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  r87156 | georg.brandl | 2010-12-10 11:01:44 +0100 (Fr, 10 Dez 2010) | 1 line

  #10668: fix wrong call of __init__.
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  r87172 | georg.brandl | 2010-12-11 20:10:30 +0100 (Sa, 11 Dez 2010) | 1 line

  Avoid AttributeError(_closed) when a TemporaryDirectory is deallocated whose mkdtemp call failed.
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  r87175 | georg.brandl | 2010-12-11 23:19:34 +0100 (Sa, 11 Dez 2010) | 1 line

  Fix markup.
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  r87371 | georg.brandl | 2010-12-18 17:21:58 +0100 (Sa, 18 Dez 2010) | 1 line

  Fix typo.
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  r87378 | georg.brandl | 2010-12-18 18:51:28 +0100 (Sa, 18 Dez 2010) | 1 line

  #10723: add missing builtin exceptions.
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  r87522 | georg.brandl | 2010-12-28 10:16:12 +0100 (Di, 28 Dez 2010) | 1 line

  Replace sys.maxint mention by sys.maxsize.
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  r87523 | georg.brandl | 2010-12-28 10:18:24 +0100 (Di, 28 Dez 2010) | 1 line

  Remove confusing paragraph -- this is relevant only to advanced users anyway and does not belong into the tutorial.
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  r87524 | georg.brandl | 2010-12-28 10:29:19 +0100 (Di, 28 Dez 2010) | 1 line

  Fix advice: call PyType_Ready to fill in ob_type of custom types.
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  r87526 | georg.brandl | 2010-12-28 11:38:33 +0100 (Di, 28 Dez 2010) | 1 line

  #10777: fix iteration over dict keys while mutating the dict.
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  r87527 | georg.brandl | 2010-12-28 11:56:20 +0100 (Di, 28 Dez 2010) | 1 line

  #10768: fix ScrolledText widget construction, and make the example work from the interactive shell.
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  r87528 | georg.brandl | 2010-12-28 12:02:12 +0100 (Di, 28 Dez 2010) | 1 line

  Add news entry and clarify another.
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  r87530 | georg.brandl | 2010-12-28 12:06:07 +0100 (Di, 28 Dez 2010) | 1 line

  #10767: update README in crashers; not all may have a bug entry and/or be fixed.
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  r87531 | georg.brandl | 2010-12-28 12:08:17 +0100 (Di, 28 Dez 2010) | 1 line

  #10742: document readonly attribute of memoryviews.
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  r87532 | georg.brandl | 2010-12-28 12:15:49 +0100 (Di, 28 Dez 2010) | 1 line

  #10781: clarify that *encoding* is not a parameter for Node objects in general.
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  r87533 | georg.brandl | 2010-12-28 12:38:12 +0100 (Di, 28 Dez 2010) | 1 line

  Remove history; adapt a bit more to reST, since this will once be part of the dev guide.
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  r87534 | georg.brandl | 2010-12-28 12:48:53 +0100 (Di, 28 Dez 2010) | 1 line

  Rewrap.
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  r87535 | georg.brandl | 2010-12-28 12:49:41 +0100 (Di, 28 Dez 2010) | 1 line

  #10739: document that on Windows, socket.makefile() does not make a file that has a true file descriptor usable where such a thing is expected.
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  r87536 | georg.brandl | 2010-12-28 12:53:25 +0100 (Di, 28 Dez 2010) | 1 line

  #10609: fix non-working dbm example.
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  r87581 | georg.brandl | 2010-12-30 18:36:17 +0100 (Do, 30 Dez 2010) | 1 line

  Fix NameErrors.
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This commit is contained in:
Georg Brandl 2011-02-25 10:03:34 +00:00
parent f6c8fd62b9
commit d98934c483
16 changed files with 223 additions and 211 deletions

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@ -112,6 +112,7 @@ docs@python.org), and we'll be glad to correct the problem.
* Andrew M. Kuchling
* Dave Kuhlman
* Erno Kuusela
* Ross Lagerwall
* Thomas Lamb
* Detlef Lannert
* Piers Lauder

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@ -48,4 +48,3 @@ Slice Objects
normal slices.
Returns 0 on success and -1 on error with exception set.

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@ -705,7 +705,9 @@ type objects) *must* have the :attr:`ob_size` field.
This field is not inherited by subtypes (computed attributes are inherited
through a different mechanism).
Docs for PyGetSetDef (XXX belong elsewhere)::
.. XXX belongs elsewhere
Docs for PyGetSetDef::
typedef PyObject *(*getter)(PyObject *, void *);
typedef int (*setter)(PyObject *, PyObject *, void *);
@ -752,7 +754,7 @@ type objects) *must* have the :attr:`ob_size` field.
PyObject * tp_descr_get(PyObject *self, PyObject *obj, PyObject *type);
XXX explain.
.. XXX explain.
This field is inherited by subtypes.
@ -767,7 +769,7 @@ type objects) *must* have the :attr:`ob_size` field.
This field is inherited by subtypes.
XXX explain.
.. XXX explain.
.. cmember:: long PyTypeObject.tp_dictoffset

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@ -110,7 +110,7 @@ described here are distributed with the Python sources in the
Now your options are:
#. Copy :file:`example.sln` and :file:`example.vcproj`, rename them to
:file:`spam.\*`, and edit them by hand, or
:file:`spam.\*`, and edit them by hand, or
#. Create a brand new project; instructions are below.
@ -179,8 +179,8 @@ constant". This shows up when building DLL under MSVC. Change it to::
and add the following to the module initialization function::
MyObject_Type.ob_type = &PyType_Type;
if (PyType_Ready(&MyObject_Type) < 0)
return NULL;
.. _dynamic-linking:

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@ -179,22 +179,22 @@ Glossary
not expressions.
extension module
A module written in C or C++, using Python's C API to interact with the core and
with user code.
A module written in C or C++, using Python's C API to interact with the
core and with user code.
file object
An object exposing a file-oriented API (with methods such as
:meth:`read()` or :meth:`write()`) to an underlying resource.
Depending on the way it was created, a file object can mediate access
to a real on-disk file or to another other type of storage or
communication device (for example standard input/output, in-memory
buffers, sockets, pipes, etc.). File objects are also called
:dfn:`file-like objects` or :dfn:`streams`.
:meth:`read()` or :meth:`write()`) to an underlying resource. Depending
on the way it was created, a file object can mediate access to a real
on-disk file or to another other type of storage or communication device
(for example standard input/output, in-memory buffers, sockets, pipes,
etc.). File objects are also called :dfn:`file-like objects` or
:dfn:`streams`.
There are actually three categories of file objects: raw binary
files, buffered binary files and text files. Their interfaces are
defined in the :mod:`io` module. The canonical way to create a
file object is by using the :func:`open` function.
There are actually three categories of file objects: raw binary files,
buffered binary files and text files. Their interfaces are defined in the
:mod:`io` module. The canonical way to create a file object is by using
the :func:`open` function.
file-like object
A synonym for :term:`file object`.

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@ -810,7 +810,7 @@ If a new entry overwrites an existing entry, the
original insertion position is changed and moved to the end::
class LastUpdatedOrderedDict(OrderedDict):
'Store items is the order the keys were last added'
'Store items in the order the keys were last added'
def __setitem__(self, key, value):
if key in self:
del self[key]

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@ -86,10 +86,8 @@ then prints out the contents of the database::
# Notice how the value is now in bytes.
assert db['www.cnn.com'] == b'Cable News Network'
# Loop through contents. Other dictionary methods
# such as .keys(), .values() also work.
for k, v in db.iteritems():
print(k, '\t', v)
# Often-used methods of the dict interface work too.
print(db.get('python.org', b'not present'))
# Storing a non-string key or value will raise an exception (most
# likely a TypeError).

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@ -77,6 +77,12 @@ The following exceptions are used mostly as base classes for other exceptions.
:exc:`FloatingPointError`.
.. exception:: BufferError
Raised when a :ref:`buffer <bufferobjects>` related operation cannot be
performed.
.. exception:: LookupError
The base class for the exceptions that are raised when a key or index used on
@ -271,6 +277,18 @@ The following exceptions are the exceptions that are usually raised.
of the exception instance returns only the message.
.. exception:: IndentationError
Base class for syntax errors related to incorrect indentation. This is a
subclass of :exc:`SyntaxError`.
.. exception:: TabError
Raised when indentation contains an inconsistent use of tabs and spaces.
This is a subclass of :exc:`IndentationError`.
.. exception:: SystemError
Raised when the interpreter finds an internal error, but the situation does not

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@ -616,16 +616,21 @@ correspond to Unix system calls applicable to sockets.
.. index:: single: I/O control; buffering
Return a :term:`file object` associated with the socket. The exact
returned type depends on the arguments given to :meth:`makefile`. These
arguments are interpreted the same way as by the built-in :func:`open`
function.
Return a :term:`file object` associated with the socket. The exact returned
type depends on the arguments given to :meth:`makefile`. These arguments are
interpreted the same way as by the built-in :func:`open` function.
Closing the file object won't close the socket unless there are no remaining
references to the socket. The socket must be in blocking mode; it can have
a timeout, but the file object's internal buffer may end up in a inconsistent
state if a timeout occurs.
.. note::
On Windows, the file-like object created by :meth:`makefile` cannot be
used where a file object with a file descriptor is expected, such as the
stream arguments of :meth:`subprocess.Popen`.
.. method:: socket.recv(bufsize[, flags])

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@ -2203,6 +2203,10 @@ copying. Memory is generally interpreted as simple bytes.
A tuple of integers the length of :attr:`ndim` giving the size in bytes to
access each element for each dimension of the array.
.. attribute:: readonly
A bool indicating whether the memory is read only.
.. memoryview.suboffsets isn't documented because it only seems useful for C

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@ -125,7 +125,7 @@ module documentation. This section lists the differences between the API and
to discard children of that node.
.. method:: Node.writexml(writer, indent="", addindent="", newl="", encoding="")
.. method:: Node.writexml(writer, indent="", addindent="", newl="")
Write XML to the writer object. The writer should have a :meth:`write` method
which matches that of the file object interface. The *indent* parameter is the
@ -133,8 +133,8 @@ module documentation. This section lists the differences between the API and
indentation to use for subnodes of the current one. The *newl* parameter
specifies the string to use to terminate newlines.
For the :class:`Document` node, an additional keyword argument *encoding* can be
used to specify the encoding field of the XML header.
For the :class:`Document` node, an additional keyword argument *encoding* can
be used to specify the encoding field of the XML header.
.. method:: Node.toxml(encoding=None)

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@ -58,14 +58,6 @@ Some Python modules are also useful as scripts. These can be invoked using
``python -m module [arg] ...``, which executes the source file for *module* as
if you had spelled out its full name on the command line.
Note that there is a difference between ``python file`` and ``python
<file``. In the latter case, input requests from the program, such as calling
``sys.stdin.read()``, are satisfied from *file*. Since this file has already
been read until the end by the parser before the program starts executing, the
program will encounter end-of-file immediately. In the former case (which is
usually what you want) they are satisfied from whatever file or device is
connected to standard input of the Python interpreter.
When a script file is used, it is sometimes useful to be able to run the script
and enter interactive mode afterwards. This can be done by passing :option:`-i`
before the script. (This does not work if the script is read from standard

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@ -1,20 +1,16 @@
This directory only contains tests for outstanding bugs that cause
the interpreter to segfault. Ideally this directory should always
be empty. Sometimes it may not be easy to fix the underlying cause.
This directory only contains tests for outstanding bugs that cause the
interpreter to segfault. Ideally this directory should always be empty, but
sometimes it may not be easy to fix the underlying cause and the bug is deemed
too obscure to invest the effort.
Each test should fail when run from the command line:
./python Lib/test/crashers/weakref_in_del.py
Each test should have a link to the bug report:
Put as much info into a docstring or comments to help determine the cause of the
failure, as well as a bugs.python.org issue number if it exists. Particularly
note if the cause is system or environment dependent and what the variables are.
# http://python.org/sf/BUG#
Put as much info into a docstring or comments to help determine
the cause of the failure. Particularly note if the cause is
system or environment dependent and what the variables are.
Once the crash is fixed, the test case should be moved into an appropriate
test (even if it was originally from the test suite). This ensures the
regression doesn't happen again. And if it does, it should be easier
to track down.
Once the crash is fixed, the test case should be moved into an appropriate test
(even if it was originally from the test suite). This ensures the regression
doesn't happen again. And if it does, it should be easier to track down.

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@ -15,7 +15,7 @@ class ArraySubclass(array.array):
class ArraySubclassWithKwargs(array.array):
def __init__(self, typecode, newarg=None):
array.array.__init__(typecode)
array.array.__init__(self, typecode)
tests = [] # list to accumulate all tests
typecodes = "ubBhHiIlLfd"

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@ -39,11 +39,10 @@ def __str__(self):
def example():
import __main__
from tkinter.constants import END
stext = ScrolledText(bg='white', height=10)
stext.insert(END, __main__.__doc__)
stext.insert(END, __doc__)
stext.pack(fill=BOTH, side=LEFT, expand=True)
stext.focus_set()
stext.mainloop()

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@ -1,17 +1,20 @@
This file describes some special Python build types enabled via
compile-time preprocessor defines.
This file describes some special Python build types enabled via compile-time
preprocessor defines.
It is best to define these options in the EXTRA_CFLAGS make variable;
IMPORTANT: if you want to build a debug-enabled Python, it is recommended that
you use ``./configure --with-pydebug``, rather than the options listed here.
However, if you wish to define some of these options individually, it is best
to define them in the EXTRA_CFLAGS make variable;
``make EXTRA_CFLAGS="-DPy_REF_DEBUG"``.
---------------------------------------------------------------------------
Py_REF_DEBUG introduced in 1.4
named REF_DEBUG before 1.4
Turn on aggregate reference counting. This arranges that extern
_Py_RefTotal hold a count of all references, the sum of ob_refcnt across
all objects. In a debug-mode build, this is where the "8288" comes from
in
Py_REF_DEBUG
------------
Turn on aggregate reference counting. This arranges that extern _Py_RefTotal
hold a count of all references, the sum of ob_refcnt across all objects. In a
debug-mode build, this is where the "8288" comes from in
>>> 23
23
@ -19,75 +22,72 @@ in
>>>
Note that if this count increases when you're not storing away new objects,
there's probably a leak. Remember, though, that in interactive mode the
special name "_" holds a reference to the last result displayed!
there's probably a leak. Remember, though, that in interactive mode the special
name "_" holds a reference to the last result displayed!
Py_REF_DEBUG also checks after every decref to verify that the refcount
hasn't gone negative, and causes an immediate fatal error if it has.
Py_REF_DEBUG also checks after every decref to verify that the refcount hasn't
gone negative, and causes an immediate fatal error if it has.
Special gimmicks:
sys.gettotalrefcount()
Return current total of all refcounts.
Available under Py_REF_DEBUG in Python 2.3.
Before 2.3, Py_TRACE_REFS was required to enable this function.
---------------------------------------------------------------------------
Py_TRACE_REFS introduced in 1.4
named TRACE_REFS before 1.4
Turn on heavy reference debugging. This is major surgery. Every PyObject
grows two more pointers, to maintain a doubly-linked list of all live
heap-allocated objects. Most built-in type objects are not in this list,
as they're statically allocated. Starting in Python 2.3, if COUNT_ALLOCS
(see below) is also defined, a static type object T does appear in this
list if at least one object of type T has been created.
Py_TRACE_REFS
-------------
Turn on heavy reference debugging. This is major surgery. Every PyObject grows
two more pointers, to maintain a doubly-linked list of all live heap-allocated
objects. Most built-in type objects are not in this list, as they're statically
allocated. Starting in Python 2.3, if COUNT_ALLOCS (see below) is also defined,
a static type object T does appear in this list if at least one object of type T
has been created.
Note that because the fundamental PyObject layout changes, Python modules
compiled with Py_TRACE_REFS are incompatible with modules compiled without
it.
compiled with Py_TRACE_REFS are incompatible with modules compiled without it.
Py_TRACE_REFS implies Py_REF_DEBUG.
Special gimmicks:
sys.getobjects(max[, type])
Return list of the (no more than) max most-recently allocated objects,
most recently allocated first in the list, least-recently allocated
last in the list. max=0 means no limit on list length.
If an optional type object is passed, the list is also restricted to
objects of that type.
The return list itself, and some temp objects created just to call
sys.getobjects(), are excluded from the return list. Note that the
list returned is just another object, though, so may appear in the
return list the next time you call getobjects(); note that every
object in the list is kept alive too, simply by virtue of being in
the list.
Return list of the (no more than) max most-recently allocated objects, most
recently allocated first in the list, least-recently allocated last in the
list. max=0 means no limit on list length. If an optional type object is
passed, the list is also restricted to objects of that type. The return
list itself, and some temp objects created just to call sys.getobjects(),
are excluded from the return list. Note that the list returned is just
another object, though, so may appear in the return list the next time you
call getobjects(); note that every object in the list is kept alive too,
simply by virtue of being in the list.
envar PYTHONDUMPREFS
If this envar exists, Py_Finalize() arranges to print a list of
all still-live heap objects. This is printed twice, in different
formats, before and after Py_Finalize has cleaned up everything it
can clean up. The first output block produces the repr() of each
object so is more informative; however, a lot of stuff destined to
die is still alive then. The second output block is much harder
to work with (repr() can't be invoked anymore -- the interpreter
has been torn down too far), but doesn't list any objects that will
die. The tool script combinerefs.py can be run over this to combine
the info from both output blocks. The second output block, and
envvar PYTHONDUMPREFS
If this envvar exists, Py_Finalize() arranges to print a list of all
still-live heap objects. This is printed twice, in different formats,
before and after Py_Finalize has cleaned up everything it can clean up. The
first output block produces the repr() of each object so is more
informative; however, a lot of stuff destined to die is still alive then.
The second output block is much harder to work with (repr() can't be invoked
anymore -- the interpreter has been torn down too far), but doesn't list any
objects that will die. The tool script combinerefs.py can be run over this
to combine the info from both output blocks. The second output block, and
combinerefs.py, were new in Python 2.3b1.
---------------------------------------------------------------------------
PYMALLOC_DEBUG introduced in 2.3
PYMALLOC_DEBUG
--------------
When pymalloc is enabled (WITH_PYMALLOC is defined), calls to the PyObject_
memory routines are handled by Python's own small-object allocator, while
calls to the PyMem_ memory routines are directed to the system malloc/
realloc/free. If PYMALLOC_DEBUG is also defined, calls to both PyObject_
and PyMem_ memory routines are directed to a special debugging mode of
Python's small-object allocator.
memory routines are handled by Python's own small-object allocator, while calls
to the PyMem_ memory routines are directed to the system malloc/ realloc/free.
If PYMALLOC_DEBUG is also defined, calls to both PyObject_ and PyMem_ memory
routines are directed to a special debugging mode of Python's small-object
allocator.
This mode fills dynamically allocated memory blocks with special,
recognizable bit patterns, and adds debugging info on each end of
dynamically allocated memory blocks. The special bit patterns are:
This mode fills dynamically allocated memory blocks with special, recognizable
bit patterns, and adds debugging info on each end of dynamically allocated
memory blocks. The special bit patterns are:
#define CLEANBYTE 0xCB /* clean (newly allocated) memory */
#define DEADBYTE 0xDB /* dead (newly freed) memory */
@ -96,73 +96,70 @@ dynamically allocated memory blocks. The special bit patterns are:
Strings of these bytes are unlikely to be valid addresses, floats, or 7-bit
ASCII strings.
Let S = sizeof(size_t). 2*S bytes are added at each end of each block of N
bytes requested. The memory layout is like so, where p represents the
address returned by a malloc-like or realloc-like function (p[i:j] means
the slice of bytes from *(p+i) inclusive up to *(p+j) exclusive; note that
the treatment of negative indices differs from a Python slice):
Let S = sizeof(size_t). 2*S bytes are added at each end of each block of N bytes
requested. The memory layout is like so, where p represents the address
returned by a malloc-like or realloc-like function (p[i:j] means the slice of
bytes from *(p+i) inclusive up to *(p+j) exclusive; note that the treatment of
negative indices differs from a Python slice):
p[-2*S:-S]
Number of bytes originally asked for. This is a size_t, big-endian
(easier to read in a memory dump).
Number of bytes originally asked for. This is a size_t, big-endian (easier
to read in a memory dump).
p[-S:0]
Copies of FORBIDDENBYTE. Used to catch under- writes and reads.
p[0:N]
The requested memory, filled with copies of CLEANBYTE, used to catch
reference to uninitialized memory.
When a realloc-like function is called requesting a larger memory
block, the new excess bytes are also filled with CLEANBYTE.
When a free-like function is called, these are overwritten with
DEADBYTE, to catch reference to freed memory. When a realloc-
like function is called requesting a smaller memory block, the excess
old bytes are also filled with DEADBYTE.
reference to uninitialized memory. When a realloc-like function is called
requesting a larger memory block, the new excess bytes are also filled with
CLEANBYTE. When a free-like function is called, these are overwritten with
DEADBYTE, to catch reference to freed memory. When a realloc- like function
is called requesting a smaller memory block, the excess old bytes are also
filled with DEADBYTE.
p[N:N+S]
Copies of FORBIDDENBYTE. Used to catch over- writes and reads.
p[N+S:N+2*S]
A serial number, incremented by 1 on each call to a malloc-like or
realloc-like function.
Big-endian size_t.
If "bad memory" is detected later, the serial number gives an
excellent way to set a breakpoint on the next run, to capture the
instant at which this block was passed out. The static function
bumpserialno() in obmalloc.c is the only place the serial number
is incremented, and exists so you can set such a breakpoint easily.
realloc-like function. Big-endian size_t. If "bad memory" is detected
later, the serial number gives an excellent way to set a breakpoint on the
next run, to capture the instant at which this block was passed out. The
static function bumpserialno() in obmalloc.c is the only place the serial
number is incremented, and exists so you can set such a breakpoint easily.
A realloc-like or free-like function first checks that the FORBIDDENBYTEs
at each end are intact. If they've been altered, diagnostic output is
written to stderr, and the program is aborted via Py_FatalError(). The
other main failure mode is provoking a memory error when a program
reads up one of the special bit patterns and tries to use it as an address.
If you get in a debugger then and look at the object, you're likely
to see that it's entirely filled with 0xDB (meaning freed memory is
getting used) or 0xCB (meaning uninitialized memory is getting used).
A realloc-like or free-like function first checks that the FORBIDDENBYTEs at
each end are intact. If they've been altered, diagnostic output is written to
stderr, and the program is aborted via Py_FatalError(). The other main failure
mode is provoking a memory error when a program reads up one of the special bit
patterns and tries to use it as an address. If you get in a debugger then and
look at the object, you're likely to see that it's entirely filled with 0xDB
(meaning freed memory is getting used) or 0xCB (meaning uninitialized memory is
getting used).
Note that PYMALLOC_DEBUG requires WITH_PYMALLOC.
Special gimmicks:
envar PYTHONMALLOCSTATS
If this envar exists, a report of pymalloc summary statistics is
printed to stderr whenever a new arena is allocated, and also
by Py_Finalize().
envvar PYTHONMALLOCSTATS
If this envvar exists, a report of pymalloc summary statistics is printed to
stderr whenever a new arena is allocated, and also by Py_Finalize().
Changed in 2.5: The number of extra bytes allocated is 4*sizeof(size_t).
Before it was 16 on all boxes, reflecting that Python couldn't make use of
allocations >= 2**32 bytes even on 64-bit boxes before 2.5.
---------------------------------------------------------------------------
Py_DEBUG introduced in 1.5
named DEBUG before 1.5
Py_DEBUG
--------
This is what is generally meant by "a debug build" of Python.
Py_DEBUG implies LLTRACE, Py_REF_DEBUG, Py_TRACE_REFS, and
PYMALLOC_DEBUG (if WITH_PYMALLOC is enabled). In addition, C
assert()s are enabled (via the C way: by not defining NDEBUG), and
some routines do additional sanity checks inside "#ifdef Py_DEBUG"
blocks.
---------------------------------------------------------------------------
COUNT_ALLOCS introduced in 0.9.9
partly broken in 2.2 and 2.2.1
Py_DEBUG implies LLTRACE, Py_REF_DEBUG, Py_TRACE_REFS, and PYMALLOC_DEBUG (if
WITH_PYMALLOC is enabled). In addition, C assert()s are enabled (via the C way:
by not defining NDEBUG), and some routines do additional sanity checks inside
"#ifdef Py_DEBUG" blocks.
COUNT_ALLOCS
------------
Each type object grows three new members:
@ -178,84 +175,85 @@ Each type object grows three new members:
*/
int tp_maxalloc;
Allocation and deallocation code keeps these counts up to date.
Py_Finalize() displays a summary of the info returned by sys.getcounts()
(see below), along with assorted other special allocation counts (like
the number of tuple allocations satisfied by a tuple free-list, the number
of 1-character strings allocated, etc).
Allocation and deallocation code keeps these counts up to date. Py_Finalize()
displays a summary of the info returned by sys.getcounts() (see below), along
with assorted other special allocation counts (like the number of tuple
allocations satisfied by a tuple free-list, the number of 1-character strings
allocated, etc).
Before Python 2.2, type objects were immortal, and the COUNT_ALLOCS
implementation relies on that. As of Python 2.2, heap-allocated type/
class objects can go away. COUNT_ALLOCS can blow up in 2.2 and 2.2.1
because of this; this was fixed in 2.2.2. Use of COUNT_ALLOCS makes
all heap-allocated type objects immortal, except for those for which no
object of that type is ever allocated.
implementation relies on that. As of Python 2.2, heap-allocated type/ class
objects can go away. COUNT_ALLOCS can blow up in 2.2 and 2.2.1 because of this;
this was fixed in 2.2.2. Use of COUNT_ALLOCS makes all heap-allocated type
objects immortal, except for those for which no object of that type is ever
allocated.
Starting with Python 2.3, If Py_TRACE_REFS is also defined, COUNT_ALLOCS
arranges to ensure that the type object for each allocated object
appears in the doubly-linked list of all objects maintained by
Py_TRACE_REFS.
arranges to ensure that the type object for each allocated object appears in the
doubly-linked list of all objects maintained by Py_TRACE_REFS.
Special gimmicks:
sys.getcounts()
Return a list of 4-tuples, one entry for each type object for which
at least one object of that type was allocated. Each tuple is of
the form:
Return a list of 4-tuples, one entry for each type object for which at least
one object of that type was allocated. Each tuple is of the form:
(tp_name, tp_allocs, tp_frees, tp_maxalloc)
Each distinct type object gets a distinct entry in this list, even
if two or more type objects have the same tp_name (in which case
there's no way to distinguish them by looking at this list). The
list is ordered by time of first object allocation: the type object
for which the first allocation of an object of that type occurred
most recently is at the front of the list.
---------------------------------------------------------------------------
LLTRACE introduced well before 1.0
Each distinct type object gets a distinct entry in this list, even if two or
more type objects have the same tp_name (in which case there's no way to
distinguish them by looking at this list). The list is ordered by time of
first object allocation: the type object for which the first allocation of
an object of that type occurred most recently is at the front of the list.
LLTRACE
-------
Compile in support for Low Level TRACE-ing of the main interpreter loop.
When this preprocessor symbol is defined, before PyEval_EvalFrame
(eval_frame in 2.3 and 2.2, eval_code2 before that) executes a frame's code
it checks the frame's global namespace for a variable "__lltrace__". If
such a variable is found, mounds of information about what the interpreter
is doing are sprayed to stdout, such as every opcode and opcode argument
and values pushed onto and popped off the value stack.
When this preprocessor symbol is defined, before PyEval_EvalFrame (eval_frame in
2.3 and 2.2, eval_code2 before that) executes a frame's code it checks the
frame's global namespace for a variable "__lltrace__". If such a variable is
found, mounds of information about what the interpreter is doing are sprayed to
stdout, such as every opcode and opcode argument and values pushed onto and
popped off the value stack.
Not useful very often, but very useful when needed.
---------------------------------------------------------------------------
CALL_PROFILE introduced for Python 2.3
CALL_PROFILE
------------
Count the number of function calls executed.
When this symbol is defined, the ceval mainloop and helper functions
count the number of function calls made. It keeps detailed statistics
about what kind of object was called and whether the call hit any of
the special fast paths in the code.
When this symbol is defined, the ceval mainloop and helper functions count the
number of function calls made. It keeps detailed statistics about what kind of
object was called and whether the call hit any of the special fast paths in the
code.
---------------------------------------------------------------------------
WITH_TSC introduced for Python 2.4
Super-lowlevel profiling of the interpreter. When enabled, the sys
module grows a new function:
WITH_TSC
--------
Super-lowlevel profiling of the interpreter. When enabled, the sys module grows
a new function:
settscdump(bool)
If true, tell the Python interpreter to dump VM measurements to
stderr. If false, turn off dump. The measurements are based on the
processor's time-stamp counter.
If true, tell the Python interpreter to dump VM measurements to stderr. If
false, turn off dump. The measurements are based on the processor's
time-stamp counter.
This build option requires a small amount of platform specific code.
Currently this code is present for linux/x86 and any PowerPC platform
that uses GCC (i.e. OS X and linux/ppc).
This build option requires a small amount of platform specific code. Currently
this code is present for linux/x86 and any PowerPC platform that uses GCC
(i.e. OS X and linux/ppc).
On the PowerPC the rate at which the time base register is incremented
is not defined by the architecture specification, so you'll need to
find the manual for your specific processor. For the 750CX, 750CXe
and 750FX (all sold as the G3) we find:
On the PowerPC the rate at which the time base register is incremented is not
defined by the architecture specification, so you'll need to find the manual for
your specific processor. For the 750CX, 750CXe and 750FX (all sold as the G3)
we find:
The time base counter is clocked at a frequency that is
one-fourth that of the bus clock.
The time base counter is clocked at a frequency that is one-fourth that of
the bus clock.
This build is enabled by the --with-tsc flag to configure.