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author | Georg Brandl <georg@python.org> | 2007-08-15 14:28:01 (GMT) |
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committer | Georg Brandl <georg@python.org> | 2007-08-15 14:28:01 (GMT) |
commit | 8ec7f656134b1230ab23003a94ba3266d7064122 (patch) | |
tree | bc730d5fb3302dc375edd26b26f750d609b61d72 /Doc/whatsnew/2.1.rst | |
parent | f56181ff53ba00b7bed3997a4dccd9a1b6217b57 (diff) | |
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Move the 2.6 reST doc tree in place.
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diff --git a/Doc/whatsnew/2.1.rst b/Doc/whatsnew/2.1.rst new file mode 100644 index 0000000..b87ef5b --- /dev/null +++ b/Doc/whatsnew/2.1.rst @@ -0,0 +1,794 @@ +**************************** + What's New in Python 2.1 +**************************** + +:Author: A.M. Kuchling + +.. |release| replace:: 1.01 + +.. % $Id: whatsnew21.tex 50964 2006-07-30 03:03:43Z fred.drake $ + + +Introduction +============ + +This article explains the new features in Python 2.1. While there aren't as +many changes in 2.1 as there were in Python 2.0, there are still some pleasant +surprises in store. 2.1 is the first release to be steered through the use of +Python Enhancement Proposals, or PEPs, so most of the sizable changes have +accompanying PEPs that provide more complete documentation and a design +rationale for the change. This article doesn't attempt to document the new +features completely, but simply provides an overview of the new features for +Python programmers. Refer to the Python 2.1 documentation, or to the specific +PEP, for more details about any new feature that particularly interests you. + +One recent goal of the Python development team has been to accelerate the pace +of new releases, with a new release coming every 6 to 9 months. 2.1 is the first +release to come out at this faster pace, with the first alpha appearing in +January, 3 months after the final version of 2.0 was released. + +The final release of Python 2.1 was made on April 17, 2001. + +.. % ====================================================================== + + +PEP 227: Nested Scopes +====================== + +The largest change in Python 2.1 is to Python's scoping rules. In Python 2.0, +at any given time there are at most three namespaces used to look up variable +names: local, module-level, and the built-in namespace. This often surprised +people because it didn't match their intuitive expectations. For example, a +nested recursive function definition doesn't work:: + + def f(): + ... + def g(value): + ... + return g(value-1) + 1 + ... + +The function :func:`g` will always raise a :exc:`NameError` exception, because +the binding of the name ``g`` isn't in either its local namespace or in the +module-level namespace. This isn't much of a problem in practice (how often do +you recursively define interior functions like this?), but this also made using +the :keyword:`lambda` statement clumsier, and this was a problem in practice. +In code which uses :keyword:`lambda` you can often find local variables being +copied by passing them as the default values of arguments. :: + + def find(self, name): + "Return list of any entries equal to 'name'" + L = filter(lambda x, name=name: x == name, + self.list_attribute) + return L + +The readability of Python code written in a strongly functional style suffers +greatly as a result. + +The most significant change to Python 2.1 is that static scoping has been added +to the language to fix this problem. As a first effect, the ``name=name`` +default argument is now unnecessary in the above example. Put simply, when a +given variable name is not assigned a value within a function (by an assignment, +or the :keyword:`def`, :keyword:`class`, or :keyword:`import` statements), +references to the variable will be looked up in the local namespace of the +enclosing scope. A more detailed explanation of the rules, and a dissection of +the implementation, can be found in the PEP. + +This change may cause some compatibility problems for code where the same +variable name is used both at the module level and as a local variable within a +function that contains further function definitions. This seems rather unlikely +though, since such code would have been pretty confusing to read in the first +place. + +One side effect of the change is that the ``from module import *`` and +:keyword:`exec` statements have been made illegal inside a function scope under +certain conditions. The Python reference manual has said all along that ``from +module import *`` is only legal at the top level of a module, but the CPython +interpreter has never enforced this before. As part of the implementation of +nested scopes, the compiler which turns Python source into bytecodes has to +generate different code to access variables in a containing scope. ``from +module import *`` and :keyword:`exec` make it impossible for the compiler to +figure this out, because they add names to the local namespace that are +unknowable at compile time. Therefore, if a function contains function +definitions or :keyword:`lambda` expressions with free variables, the compiler +will flag this by raising a :exc:`SyntaxError` exception. + +To make the preceding explanation a bit clearer, here's an example:: + + x = 1 + def f(): + # The next line is a syntax error + exec 'x=2' + def g(): + return x + +Line 4 containing the :keyword:`exec` statement is a syntax error, since +:keyword:`exec` would define a new local variable named ``x`` whose value should +be accessed by :func:`g`. + +This shouldn't be much of a limitation, since :keyword:`exec` is rarely used in +most Python code (and when it is used, it's often a sign of a poor design +anyway). + +Compatibility concerns have led to nested scopes being introduced gradually; in +Python 2.1, they aren't enabled by default, but can be turned on within a module +by using a future statement as described in PEP 236. (See the following section +for further discussion of PEP 236.) In Python 2.2, nested scopes will become +the default and there will be no way to turn them off, but users will have had +all of 2.1's lifetime to fix any breakage resulting from their introduction. + + +.. seealso:: + + :pep:`227` - Statically Nested Scopes + Written and implemented by Jeremy Hylton. + +.. % ====================================================================== + + +PEP 236: __future__ Directives +============================== + +The reaction to nested scopes was widespread concern about the dangers of +breaking code with the 2.1 release, and it was strong enough to make the +Pythoneers take a more conservative approach. This approach consists of +introducing a convention for enabling optional functionality in release N that +will become compulsory in release N+1. + +The syntax uses a ``from...import`` statement using the reserved module name +:mod:`__future__`. Nested scopes can be enabled by the following statement:: + + from __future__ import nested_scopes + +While it looks like a normal :keyword:`import` statement, it's not; there are +strict rules on where such a future statement can be put. They can only be at +the top of a module, and must precede any Python code or regular +:keyword:`import` statements. This is because such statements can affect how +the Python bytecode compiler parses code and generates bytecode, so they must +precede any statement that will result in bytecodes being produced. + + +.. seealso:: + + :pep:`236` - Back to the :mod:`__future__` + Written by Tim Peters, and primarily implemented by Jeremy Hylton. + +.. % ====================================================================== + + +PEP 207: Rich Comparisons +========================= + +In earlier versions, Python's support for implementing comparisons on user- +defined classes and extension types was quite simple. Classes could implement a +:meth:`__cmp__` method that was given two instances of a class, and could only +return 0 if they were equal or +1 or -1 if they weren't; the method couldn't +raise an exception or return anything other than a Boolean value. Users of +Numeric Python often found this model too weak and restrictive, because in the +number-crunching programs that numeric Python is used for, it would be more +useful to be able to perform elementwise comparisons of two matrices, returning +a matrix containing the results of a given comparison for each element. If the +two matrices are of different sizes, then the compare has to be able to raise an +exception to signal the error. + +In Python 2.1, rich comparisons were added in order to support this need. +Python classes can now individually overload each of the ``<``, ``<=``, ``>``, +``>=``, ``==``, and ``!=`` operations. The new magic method names are: + ++-----------+----------------+ +| Operation | Method name | ++===========+================+ +| ``<`` | :meth:`__lt__` | ++-----------+----------------+ +| ``<=`` | :meth:`__le__` | ++-----------+----------------+ +| ``>`` | :meth:`__gt__` | ++-----------+----------------+ +| ``>=`` | :meth:`__ge__` | ++-----------+----------------+ +| ``==`` | :meth:`__eq__` | ++-----------+----------------+ +| ``!=`` | :meth:`__ne__` | ++-----------+----------------+ + +(The magic methods are named after the corresponding Fortran operators ``.LT.``. +``.LE.``, &c. Numeric programmers are almost certainly quite familiar with +these names and will find them easy to remember.) + +Each of these magic methods is of the form ``method(self, other)``, where +``self`` will be the object on the left-hand side of the operator, while +``other`` will be the object on the right-hand side. For example, the +expression ``A < B`` will cause ``A.__lt__(B)`` to be called. + +Each of these magic methods can return anything at all: a Boolean, a matrix, a +list, or any other Python object. Alternatively they can raise an exception if +the comparison is impossible, inconsistent, or otherwise meaningless. + +The built-in :func:`cmp(A,B)` function can use the rich comparison machinery, +and now accepts an optional argument specifying which comparison operation to +use; this is given as one of the strings ``"<"``, ``"<="``, ``">"``, ``">="``, +``"=="``, or ``"!="``. If called without the optional third argument, +:func:`cmp` will only return -1, 0, or +1 as in previous versions of Python; +otherwise it will call the appropriate method and can return any Python object. + +There are also corresponding changes of interest to C programmers; there's a new +slot ``tp_richcmp`` in type objects and an API for performing a given rich +comparison. I won't cover the C API here, but will refer you to PEP 207, or to +2.1's C API documentation, for the full list of related functions. + + +.. seealso:: + + :pep:`207` - Rich Comparisions + Written by Guido van Rossum, heavily based on earlier work by David Ascher, and + implemented by Guido van Rossum. + +.. % ====================================================================== + + +PEP 230: Warning Framework +========================== + +Over its 10 years of existence, Python has accumulated a certain number of +obsolete modules and features along the way. It's difficult to know when a +feature is safe to remove, since there's no way of knowing how much code uses it +--- perhaps no programs depend on the feature, or perhaps many do. To enable +removing old features in a more structured way, a warning framework was added. +When the Python developers want to get rid of a feature, it will first trigger a +warning in the next version of Python. The following Python version can then +drop the feature, and users will have had a full release cycle to remove uses of +the old feature. + +Python 2.1 adds the warning framework to be used in this scheme. It adds a +:mod:`warnings` module that provide functions to issue warnings, and to filter +out warnings that you don't want to be displayed. Third-party modules can also +use this framework to deprecate old features that they no longer wish to +support. + +For example, in Python 2.1 the :mod:`regex` module is deprecated, so importing +it causes a warning to be printed:: + + >>> import regex + __main__:1: DeprecationWarning: the regex module + is deprecated; please use the re module + >>> + +Warnings can be issued by calling the :func:`warnings.warn` function:: + + warnings.warn("feature X no longer supported") + +The first parameter is the warning message; an additional optional parameters +can be used to specify a particular warning category. + +Filters can be added to disable certain warnings; a regular expression pattern +can be applied to the message or to the module name in order to suppress a +warning. For example, you may have a program that uses the :mod:`regex` module +and not want to spare the time to convert it to use the :mod:`re` module right +now. The warning can be suppressed by calling :: + + import warnings + warnings.filterwarnings(action = 'ignore', + message='.*regex module is deprecated', + category=DeprecationWarning, + module = '__main__') + +This adds a filter that will apply only to warnings of the class +:class:`DeprecationWarning` triggered in the :mod:`__main__` module, and applies +a regular expression to only match the message about the :mod:`regex` module +being deprecated, and will cause such warnings to be ignored. Warnings can also +be printed only once, printed every time the offending code is executed, or +turned into exceptions that will cause the program to stop (unless the +exceptions are caught in the usual way, of course). + +Functions were also added to Python's C API for issuing warnings; refer to PEP +230 or to Python's API documentation for the details. + + +.. seealso:: + + :pep:`5` - Guidelines for Language Evolution + Written by Paul Prescod, to specify procedures to be followed when removing old + features from Python. The policy described in this PEP hasn't been officially + adopted, but the eventual policy probably won't be too different from Prescod's + proposal. + + :pep:`230` - Warning Framework + Written and implemented by Guido van Rossum. + +.. % ====================================================================== + + +PEP 229: New Build System +========================= + +When compiling Python, the user had to go in and edit the :file:`Modules/Setup` +file in order to enable various additional modules; the default set is +relatively small and limited to modules that compile on most Unix platforms. +This means that on Unix platforms with many more features, most notably Linux, +Python installations often don't contain all useful modules they could. + +Python 2.0 added the Distutils, a set of modules for distributing and installing +extensions. In Python 2.1, the Distutils are used to compile much of the +standard library of extension modules, autodetecting which ones are supported on +the current machine. It's hoped that this will make Python installations easier +and more featureful. + +Instead of having to edit the :file:`Modules/Setup` file in order to enable +modules, a :file:`setup.py` script in the top directory of the Python source +distribution is run at build time, and attempts to discover which modules can be +enabled by examining the modules and header files on the system. If a module is +configured in :file:`Modules/Setup`, the :file:`setup.py` script won't attempt +to compile that module and will defer to the :file:`Modules/Setup` file's +contents. This provides a way to specific any strange command-line flags or +libraries that are required for a specific platform. + +In another far-reaching change to the build mechanism, Neil Schemenauer +restructured things so Python now uses a single makefile that isn't recursive, +instead of makefiles in the top directory and in each of the :file:`Python/`, +:file:`Parser/`, :file:`Objects/`, and :file:`Modules/` subdirectories. This +makes building Python faster and also makes hacking the Makefiles clearer and +simpler. + + +.. seealso:: + + :pep:`229` - Using Distutils to Build Python + Written and implemented by A.M. Kuchling. + +.. % ====================================================================== + + +PEP 205: Weak References +======================== + +Weak references, available through the :mod:`weakref` module, are a minor but +useful new data type in the Python programmer's toolbox. + +Storing a reference to an object (say, in a dictionary or a list) has the side +effect of keeping that object alive forever. There are a few specific cases +where this behaviour is undesirable, object caches being the most common one, +and another being circular references in data structures such as trees. + +For example, consider a memoizing function that caches the results of another +function :func:`f(x)` by storing the function's argument and its result in a +dictionary:: + + _cache = {} + def memoize(x): + if _cache.has_key(x): + return _cache[x] + + retval = f(x) + + # Cache the returned object + _cache[x] = retval + + return retval + +This version works for simple things such as integers, but it has a side effect; +the ``_cache`` dictionary holds a reference to the return values, so they'll +never be deallocated until the Python process exits and cleans up This isn't +very noticeable for integers, but if :func:`f` returns an object, or a data +structure that takes up a lot of memory, this can be a problem. + +Weak references provide a way to implement a cache that won't keep objects alive +beyond their time. If an object is only accessible through weak references, the +object will be deallocated and the weak references will now indicate that the +object it referred to no longer exists. A weak reference to an object *obj* is +created by calling ``wr = weakref.ref(obj)``. The object being referred to is +returned by calling the weak reference as if it were a function: ``wr()``. It +will return the referenced object, or ``None`` if the object no longer exists. + +This makes it possible to write a :func:`memoize` function whose cache doesn't +keep objects alive, by storing weak references in the cache. :: + + _cache = {} + def memoize(x): + if _cache.has_key(x): + obj = _cache[x]() + # If weak reference object still exists, + # return it + if obj is not None: return obj + + retval = f(x) + + # Cache a weak reference + _cache[x] = weakref.ref(retval) + + return retval + +The :mod:`weakref` module also allows creating proxy objects which behave like +weak references --- an object referenced only by proxy objects is deallocated -- +but instead of requiring an explicit call to retrieve the object, the proxy +transparently forwards all operations to the object as long as the object still +exists. If the object is deallocated, attempting to use a proxy will cause a +:exc:`weakref.ReferenceError` exception to be raised. :: + + proxy = weakref.proxy(obj) + proxy.attr # Equivalent to obj.attr + proxy.meth() # Equivalent to obj.meth() + del obj + proxy.attr # raises weakref.ReferenceError + + +.. seealso:: + + :pep:`205` - Weak References + Written and implemented by Fred L. Drake, Jr. + +.. % ====================================================================== + + +PEP 232: Function Attributes +============================ + +In Python 2.1, functions can now have arbitrary information attached to them. +People were often using docstrings to hold information about functions and +methods, because the ``__doc__`` attribute was the only way of attaching any +information to a function. For example, in the Zope Web application server, +functions are marked as safe for public access by having a docstring, and in +John Aycock's SPARK parsing framework, docstrings hold parts of the BNF grammar +to be parsed. This overloading is unfortunate, since docstrings are really +intended to hold a function's documentation; for example, it means you can't +properly document functions intended for private use in Zope. + +Arbitrary attributes can now be set and retrieved on functions using the regular +Python syntax:: + + def f(): pass + + f.publish = 1 + f.secure = 1 + f.grammar = "A ::= B (C D)*" + +The dictionary containing attributes can be accessed as the function's +:attr:`__dict__`. Unlike the :attr:`__dict__` attribute of class instances, in +functions you can actually assign a new dictionary to :attr:`__dict__`, though +the new value is restricted to a regular Python dictionary; you *can't* be +tricky and set it to a :class:`UserDict` instance, or any other random object +that behaves like a mapping. + + +.. seealso:: + + :pep:`232` - Function Attributes + Written and implemented by Barry Warsaw. + +.. % ====================================================================== + + +PEP 235: Importing Modules on Case-Insensitive Platforms +======================================================== + +Some operating systems have filesystems that are case-insensitive, MacOS and +Windows being the primary examples; on these systems, it's impossible to +distinguish the filenames ``FILE.PY`` and ``file.py``, even though they do store +the file's name in its original case (they're case-preserving, too). + +In Python 2.1, the :keyword:`import` statement will work to simulate case- +sensitivity on case-insensitive platforms. Python will now search for the first +case-sensitive match by default, raising an :exc:`ImportError` if no such file +is found, so ``import file`` will not import a module named ``FILE.PY``. Case- +insensitive matching can be requested by setting the :envvar:`PYTHONCASEOK` +environment variable before starting the Python interpreter. + +.. % ====================================================================== + + +PEP 217: Interactive Display Hook +================================= + +When using the Python interpreter interactively, the output of commands is +displayed using the built-in :func:`repr` function. In Python 2.1, the variable +:func:`sys.displayhook` can be set to a callable object which will be called +instead of :func:`repr`. For example, you can set it to a special pretty- +printing function:: + + >>> # Create a recursive data structure + ... L = [1,2,3] + >>> L.append(L) + >>> L # Show Python's default output + [1, 2, 3, [...]] + >>> # Use pprint.pprint() as the display function + ... import sys, pprint + >>> sys.displayhook = pprint.pprint + >>> L + [1, 2, 3, <Recursion on list with id=135143996>] + >>> + + +.. seealso:: + + :pep:`217` - Display Hook for Interactive Use + Written and implemented by Moshe Zadka. + +.. % ====================================================================== + + +PEP 208: New Coercion Model +=========================== + +How numeric coercion is done at the C level was significantly modified. This +will only affect the authors of C extensions to Python, allowing them more +flexibility in writing extension types that support numeric operations. + +Extension types can now set the type flag ``Py_TPFLAGS_CHECKTYPES`` in their +``PyTypeObject`` structure to indicate that they support the new coercion model. +In such extension types, the numeric slot functions can no longer assume that +they'll be passed two arguments of the same type; instead they may be passed two +arguments of differing types, and can then perform their own internal coercion. +If the slot function is passed a type it can't handle, it can indicate the +failure by returning a reference to the ``Py_NotImplemented`` singleton value. +The numeric functions of the other type will then be tried, and perhaps they can +handle the operation; if the other type also returns ``Py_NotImplemented``, then +a :exc:`TypeError` will be raised. Numeric methods written in Python can also +return ``Py_NotImplemented``, causing the interpreter to act as if the method +did not exist (perhaps raising a :exc:`TypeError`, perhaps trying another +object's numeric methods). + + +.. seealso:: + + :pep:`208` - Reworking the Coercion Model + Written and implemented by Neil Schemenauer, heavily based upon earlier work by + Marc-André Lemburg. Read this to understand the fine points of how numeric + operations will now be processed at the C level. + +.. % ====================================================================== + + +PEP 241: Metadata in Python Packages +==================================== + +A common complaint from Python users is that there's no single catalog of all +the Python modules in existence. T. Middleton's Vaults of Parnassus at +http://www.vex.net/parnassus/ are the largest catalog of Python modules, but +registering software at the Vaults is optional, and many people don't bother. + +As a first small step toward fixing the problem, Python software packaged using +the Distutils :command:`sdist` command will include a file named +:file:`PKG-INFO` containing information about the package such as its name, +version, and author (metadata, in cataloguing terminology). PEP 241 contains +the full list of fields that can be present in the :file:`PKG-INFO` file. As +people began to package their software using Python 2.1, more and more packages +will include metadata, making it possible to build automated cataloguing systems +and experiment with them. With the result experience, perhaps it'll be possible +to design a really good catalog and then build support for it into Python 2.2. +For example, the Distutils :command:`sdist` and :command:`bdist_\*` commands +could support a :option:`upload` option that would automatically upload your +package to a catalog server. + +You can start creating packages containing :file:`PKG-INFO` even if you're not +using Python 2.1, since a new release of the Distutils will be made for users of +earlier Python versions. Version 1.0.2 of the Distutils includes the changes +described in PEP 241, as well as various bugfixes and enhancements. It will be +available from the Distutils SIG at http://www.python.org/sigs/distutils-sig/. + + +.. seealso:: + + :pep:`241` - Metadata for Python Software Packages + Written and implemented by A.M. Kuchling. + + :pep:`243` - Module Repository Upload Mechanism + Written by Sean Reifschneider, this draft PEP describes a proposed mechanism for + uploading Python packages to a central server. + +.. % ====================================================================== + + +New and Improved Modules +======================== + +* Ka-Ping Yee contributed two new modules: :mod:`inspect.py`, a module for + getting information about live Python code, and :mod:`pydoc.py`, a module for + interactively converting docstrings to HTML or text. As a bonus, + :file:`Tools/scripts/pydoc`, which is now automatically installed, uses + :mod:`pydoc.py` to display documentation given a Python module, package, or + class name. For example, ``pydoc xml.dom`` displays the following:: + + Python Library Documentation: package xml.dom in xml + + NAME + xml.dom - W3C Document Object Model implementation for Python. + + FILE + /usr/local/lib/python2.1/xml/dom/__init__.pyc + + DESCRIPTION + The Python mapping of the Document Object Model is documented in the + Python Library Reference in the section on the xml.dom package. + + This package contains the following modules: + ... + + :file:`pydoc` also includes a Tk-based interactive help browser. :file:`pydoc` + quickly becomes addictive; try it out! + +* Two different modules for unit testing were added to the standard library. + The :mod:`doctest` module, contributed by Tim Peters, provides a testing + framework based on running embedded examples in docstrings and comparing the + results against the expected output. PyUnit, contributed by Steve Purcell, is a + unit testing framework inspired by JUnit, which was in turn an adaptation of + Kent Beck's Smalltalk testing framework. See http://pyunit.sourceforge.net/ for + more information about PyUnit. + +* The :mod:`difflib` module contains a class, :class:`SequenceMatcher`, which + compares two sequences and computes the changes required to transform one + sequence into the other. For example, this module can be used to write a tool + similar to the Unix :program:`diff` program, and in fact the sample program + :file:`Tools/scripts/ndiff.py` demonstrates how to write such a script. + +* :mod:`curses.panel`, a wrapper for the panel library, part of ncurses and of + SYSV curses, was contributed by Thomas Gellekum. The panel library provides + windows with the additional feature of depth. Windows can be moved higher or + lower in the depth ordering, and the panel library figures out where panels + overlap and which sections are visible. + +* The PyXML package has gone through a few releases since Python 2.0, and Python + 2.1 includes an updated version of the :mod:`xml` package. Some of the + noteworthy changes include support for Expat 1.2 and later versions, the ability + for Expat parsers to handle files in any encoding supported by Python, and + various bugfixes for SAX, DOM, and the :mod:`minidom` module. + +* Ping also contributed another hook for handling uncaught exceptions. + :func:`sys.excepthook` can be set to a callable object. When an exception isn't + caught by any :keyword:`try`...\ :keyword:`except` blocks, the exception will be + passed to :func:`sys.excepthook`, which can then do whatever it likes. At the + Ninth Python Conference, Ping demonstrated an application for this hook: + printing an extended traceback that not only lists the stack frames, but also + lists the function arguments and the local variables for each frame. + +* Various functions in the :mod:`time` module, such as :func:`asctime` and + :func:`localtime`, require a floating point argument containing the time in + seconds since the epoch. The most common use of these functions is to work with + the current time, so the floating point argument has been made optional; when a + value isn't provided, the current time will be used. For example, log file + entries usually need a string containing the current time; in Python 2.1, + ``time.asctime()`` can be used, instead of the lengthier + ``time.asctime(time.localtime(time.time()))`` that was previously required. + + This change was proposed and implemented by Thomas Wouters. + +* The :mod:`ftplib` module now defaults to retrieving files in passive mode, + because passive mode is more likely to work from behind a firewall. This + request came from the Debian bug tracking system, since other Debian packages + use :mod:`ftplib` to retrieve files and then don't work from behind a firewall. + It's deemed unlikely that this will cause problems for anyone, because Netscape + defaults to passive mode and few people complain, but if passive mode is + unsuitable for your application or network setup, call :meth:`set_pasv(0)` on + FTP objects to disable passive mode. + +* Support for raw socket access has been added to the :mod:`socket` module, + contributed by Grant Edwards. + +* The :mod:`pstats` module now contains a simple interactive statistics browser + for displaying timing profiles for Python programs, invoked when the module is + run as a script. Contributed by Eric S. Raymond. + +* A new implementation-dependent function, :func:`sys._getframe([depth])`, has + been added to return a given frame object from the current call stack. + :func:`sys._getframe` returns the frame at the top of the call stack; if the + optional integer argument *depth* is supplied, the function returns the frame + that is *depth* calls below the top of the stack. For example, + ``sys._getframe(1)`` returns the caller's frame object. + + This function is only present in CPython, not in Jython or the .NET + implementation. Use it for debugging, and resist the temptation to put it into + production code. + +.. % ====================================================================== + + +Other Changes and Fixes +======================= + +There were relatively few smaller changes made in Python 2.1 due to the shorter +release cycle. A search through the CVS change logs turns up 117 patches +applied, and 136 bugs fixed; both figures are likely to be underestimates. Some +of the more notable changes are: + +* A specialized object allocator is now optionally available, that should be + faster than the system :func:`malloc` and have less memory overhead. The + allocator uses C's :func:`malloc` function to get large pools of memory, and + then fulfills smaller memory requests from these pools. It can be enabled by + providing the :option:`--with-pymalloc` option to the :program:`configure` + script; see :file:`Objects/obmalloc.c` for the implementation details. + + Authors of C extension modules should test their code with the object allocator + enabled, because some incorrect code may break, causing core dumps at runtime. + There are a bunch of memory allocation functions in Python's C API that have + previously been just aliases for the C library's :func:`malloc` and + :func:`free`, meaning that if you accidentally called mismatched functions, the + error wouldn't be noticeable. When the object allocator is enabled, these + functions aren't aliases of :func:`malloc` and :func:`free` any more, and + calling the wrong function to free memory will get you a core dump. For + example, if memory was allocated using :func:`PyMem_New`, it has to be freed + using :func:`PyMem_Del`, not :func:`free`. A few modules included with Python + fell afoul of this and had to be fixed; doubtless there are more third-party + modules that will have the same problem. + + The object allocator was contributed by Vladimir Marangozov. + +* The speed of line-oriented file I/O has been improved because people often + complain about its lack of speed, and because it's often been used as a naïve + benchmark. The :meth:`readline` method of file objects has therefore been + rewritten to be much faster. The exact amount of the speedup will vary from + platform to platform depending on how slow the C library's :func:`getc` was, but + is around 66%, and potentially much faster on some particular operating systems. + Tim Peters did much of the benchmarking and coding for this change, motivated by + a discussion in comp.lang.python. + + A new module and method for file objects was also added, contributed by Jeff + Epler. The new method, :meth:`xreadlines`, is similar to the existing + :func:`xrange` built-in. :func:`xreadlines` returns an opaque sequence object + that only supports being iterated over, reading a line on every iteration but + not reading the entire file into memory as the existing :meth:`readlines` method + does. You'd use it like this:: + + for line in sys.stdin.xreadlines(): + # ... do something for each line ... + ... + + For a fuller discussion of the line I/O changes, see the python-dev summary for + January 1-15, 2001 at http://www.python.org/dev/summary/2001-01-1.html. + +* A new method, :meth:`popitem`, was added to dictionaries to enable + destructively iterating through the contents of a dictionary; this can be faster + for large dictionaries because there's no need to construct a list containing + all the keys or values. ``D.popitem()`` removes a random ``(key, value)`` pair + from the dictionary ``D`` and returns it as a 2-tuple. This was implemented + mostly by Tim Peters and Guido van Rossum, after a suggestion and preliminary + patch by Moshe Zadka. + +* Modules can now control which names are imported when ``from module import *`` + is used, by defining an ``__all__`` attribute containing a list of names that + will be imported. One common complaint is that if the module imports other + modules such as :mod:`sys` or :mod:`string`, ``from module import *`` will add + them to the importing module's namespace. To fix this, simply list the public + names in ``__all__``:: + + # List public names + __all__ = ['Database', 'open'] + + A stricter version of this patch was first suggested and implemented by Ben + Wolfson, but after some python-dev discussion, a weaker final version was + checked in. + +* Applying :func:`repr` to strings previously used octal escapes for + non-printable characters; for example, a newline was ``'\012'``. This was a + vestigial trace of Python's C ancestry, but today octal is of very little + practical use. Ka-Ping Yee suggested using hex escapes instead of octal ones, + and using the ``\n``, ``\t``, ``\r`` escapes for the appropriate characters, + and implemented this new formatting. + +* Syntax errors detected at compile-time can now raise exceptions containing the + filename and line number of the error, a pleasant side effect of the compiler + reorganization done by Jeremy Hylton. + +* C extensions which import other modules have been changed to use + :func:`PyImport_ImportModule`, which means that they will use any import hooks + that have been installed. This is also encouraged for third-party extensions + that need to import some other module from C code. + +* The size of the Unicode character database was shrunk by another 340K thanks + to Fredrik Lundh. + +* Some new ports were contributed: MacOS X (by Steven Majewski), Cygwin (by + Jason Tishler); RISCOS (by Dietmar Schwertberger); Unixware 7 (by Billy G. + Allie). + +And there's the usual list of minor bugfixes, minor memory leaks, docstring +edits, and other tweaks, too lengthy to be worth itemizing; see the CVS logs for +the full details if you want them. + +.. % ====================================================================== + + +Acknowledgements +================ + +The author would like to thank the following people for offering suggestions on +various drafts of this article: Graeme Cross, David Goodger, Jay Graves, Michael +Hudson, Marc-André Lemburg, Fredrik Lundh, Neil Schemenauer, Thomas Wouters. + |