Merged revisions 59488-59511 via svnmerge from
svn+ssh://pythondev@svn.python.org/python/trunk ........ r59489 | christian.heimes | 2007-12-14 03:33:57 +0100 (Fri, 14 Dec 2007) | 1 line Silence a warning about an unsed variable in debug builds ........ r59490 | christian.heimes | 2007-12-14 03:35:23 +0100 (Fri, 14 Dec 2007) | 2 lines Fixed bug #1620: New @spam.getter property syntax modifies the property in place. I added also the feature that a @prop.getter decorator does not overwrite the doc string of the property if it was given as an argument to property(). ........ r59491 | raymond.hettinger | 2007-12-14 03:49:47 +0100 (Fri, 14 Dec 2007) | 1 line Cleaner method naming convention ........ r59492 | christian.heimes | 2007-12-14 04:02:34 +0100 (Fri, 14 Dec 2007) | 1 line Fixed a warning in _codecs_iso2022.c and some non C89 conform // comments. ........ r59493 | christian.heimes | 2007-12-14 05:38:13 +0100 (Fri, 14 Dec 2007) | 1 line Fixed warning in ssl module ........ r59500 | raymond.hettinger | 2007-12-14 19:08:20 +0100 (Fri, 14 Dec 2007) | 1 line Add line spacing for readability ........ r59501 | raymond.hettinger | 2007-12-14 19:12:21 +0100 (Fri, 14 Dec 2007) | 3 lines Update method names for named tuples. ........ r59503 | georg.brandl | 2007-12-14 20:03:36 +0100 (Fri, 14 Dec 2007) | 3 lines Add a section about nested listcomps to the tutorial. Thanks to Ian Bruntlett and Robert Lehmann. ........ r59504 | raymond.hettinger | 2007-12-14 20:19:59 +0100 (Fri, 14 Dec 2007) | 1 line Faster and simpler _replace() method ........ r59505 | raymond.hettinger | 2007-12-14 22:51:50 +0100 (Fri, 14 Dec 2007) | 1 line Add usage note ........ r59507 | andrew.kuchling | 2007-12-14 23:41:18 +0100 (Fri, 14 Dec 2007) | 1 line Remove warning about URL ........ r59510 | andrew.kuchling | 2007-12-14 23:52:36 +0100 (Fri, 14 Dec 2007) | 1 line Bump the version number, and make a few small edits ........ r59511 | christian.heimes | 2007-12-15 00:42:36 +0100 (Sat, 15 Dec 2007) | 2 lines Fixed bug #1628 The detection now works on Unix with Makefile, Makefile with VPATH and on Windows. ........
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@ -28,6 +28,7 @@ docs@python.org), and we'll be glad to correct the problem.
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* Aaron Brancotti
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* Georg Brandl
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* Keith Briggs
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* Ian Bruntlett
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* Lee Busby
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* Lorenzo M. Catucci
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* Carl Cerecke
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@ -3,12 +3,10 @@
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********************************
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:Author: \A. M. Kuchling
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:Release: 0.30
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:Release: 0.31
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(This is a first draft. Please send comments/error reports/suggestions to
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amk@amk.ca. This URL is probably not going to be the final location of the
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document, so be careful about linking to it -- you may want to add a
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disclaimer.)
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amk@amk.ca.)
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In this document, we'll take a tour of Python's features suitable for
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implementing programs in a functional style. After an introduction to the
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@ -49,17 +47,19 @@ Programming languages support decomposing problems in several different ways:
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functional languages include the ML family (Standard ML, OCaml, and other
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variants) and Haskell.
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The designers of some computer languages have chosen one approach to programming
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that's emphasized. This often makes it difficult to write programs that use a
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different approach. Other languages are multi-paradigm languages that support
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several different approaches. Lisp, C++, and Python are multi-paradigm; you can
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write programs or libraries that are largely procedural, object-oriented, or
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functional in all of these languages. In a large program, different sections
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might be written using different approaches; the GUI might be object-oriented
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while the processing logic is procedural or functional, for example.
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The designers of some computer languages choose to emphasize one
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particular approach to programming. This often makes it difficult to
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write programs that use a different approach. Other languages are
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multi-paradigm languages that support several different approaches.
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Lisp, C++, and Python are multi-paradigm; you can write programs or
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libraries that are largely procedural, object-oriented, or functional
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in all of these languages. In a large program, different sections
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might be written using different approaches; the GUI might be
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object-oriented while the processing logic is procedural or
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functional, for example.
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In a functional program, input flows through a set of functions. Each function
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operates on its input and produces some output. Functional style frowns upon
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operates on its input and produces some output. Functional style discourages
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functions with side effects that modify internal state or make other changes
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that aren't visible in the function's return value. Functions that have no side
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effects at all are called **purely functional**. Avoiding side effects means
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@ -616,7 +616,7 @@ Built-in functions
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Let's look in more detail at built-in functions often used with iterators.
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Two Python's built-in functions, :func:`map` and :func:`filter`, are somewhat
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Two of Python's built-in functions, :func:`map` and :func:`filter`, are somewhat
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obsolete; they duplicate the features of list comprehensions but return actual
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lists instead of iterators.
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@ -842,8 +842,8 @@ Fredrik Lundh once suggested the following set of rules for refactoring uses of
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4) Convert the lambda to a def statement, using that name.
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5) Remove the comment.
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I really like these rules, but you're free to disagree that this lambda-free
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style is better.
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I really like these rules, but you're free to disagree
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about whether this lambda-free style is better.
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The itertools module
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@ -403,8 +403,8 @@ they add the ability to access fields by name instead of position index.
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can be specified as a list of strings (such as ['x', 'y']).
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Any valid Python identifier may be used for a fieldname except for names
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starting and ending with double underscores. Valid identifiers consist of
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letters, digits, and underscores but do not start with a digit and cannot be
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starting with an underscore. Valid identifiers consist of letters, digits,
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and underscores but do not start with a digit or underscore and cannot be
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a :mod:`keyword` such as *class*, *for*, *return*, *global*, *pass*, *print*,
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or *raise*.
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@ -418,18 +418,25 @@ Example::
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>>> Point = namedtuple('Point', 'x y', verbose=True)
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class Point(tuple):
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'Point(x, y)'
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__slots__ = ()
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__fields__ = ('x', 'y')
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_fields = ('x', 'y')
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def __new__(cls, x, y):
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return tuple.__new__(cls, (x, y))
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def __repr__(self):
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return 'Point(x=%r, y=%r)' % self
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def __asdict__(self):
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'Return a new dict mapping field names to their values'
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def _asdict(self):
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'Return a new dict which maps field names to their values'
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return dict(zip(('x', 'y'), self))
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def __replace__(self, **kwds):
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def _replace(self, **kwds):
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'Return a new Point object replacing specified fields with new values'
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return Point(**dict(zip(('x', 'y'), self), **kwds))
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return Point(*map(kwds.get, ('x', 'y'), self))
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x = property(itemgetter(0))
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y = property(itemgetter(1))
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@ -477,43 +484,51 @@ When casting a dictionary to a named tuple, use the double-star-operator::
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In addition to the methods inherited from tuples, named tuples support
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two additonal methods and a read-only attribute.
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.. method:: somenamedtuple.__asdict__()
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.. method:: somenamedtuple._asdict()
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Return a new dict which maps field names to their corresponding values:
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::
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>>> p.__asdict__()
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>>> p._asdict()
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{'x': 11, 'y': 22}
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.. method:: somenamedtuple.__replace__(kwargs)
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.. method:: somenamedtuple._replace(kwargs)
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Return a new instance of the named tuple replacing specified fields with new values:
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::
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>>> p = Point(x=11, y=22)
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>>> p.__replace__(x=33)
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>>> p._replace(x=33)
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Point(x=33, y=22)
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>>> for partnum, record in inventory.items():
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... inventory[partnum] = record.__replace__(price=newprices[partnum], updated=time.now())
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... inventory[partnum] = record._replace(price=newprices[partnum], updated=time.now())
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.. attribute:: somenamedtuple.__fields__
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.. attribute:: somenamedtuple._fields
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Return a tuple of strings listing the field names. This is useful for introspection
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and for creating new named tuple types from existing named tuples.
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::
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>>> p.__fields__ # view the field names
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>>> p._fields # view the field names
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('x', 'y')
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>>> Color = namedtuple('Color', 'red green blue')
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>>> Pixel = namedtuple('Pixel', Point.__fields__ + Color.__fields__)
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>>> Pixel = namedtuple('Pixel', Point._fields + Color._fields)
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>>> Pixel(11, 22, 128, 255, 0)
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Pixel(x=11, y=22, red=128, green=255, blue=0)'
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To retrieve a field whose name is stored in a string, use the :func:`getattr`
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function:
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::
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>>> getattr(p, 'x')
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11
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Since a named tuple is a regular Python class, it is easy to add or change
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functionality. For example, the display format can be changed by overriding
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the :meth:`__repr__` method:
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@ -522,17 +537,17 @@ the :meth:`__repr__` method:
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>>> Point = namedtuple('Point', 'x y')
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>>> Point.__repr__ = lambda self: 'Point(%.3f, %.3f)' % self
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>>> Point(x=10, y=20)
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Point(10.000, 20.000)
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>>> Point(x=11, y=22)
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Point(11.000, 22.000)
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Default values can be implemented by starting with a prototype instance
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and customizing it with :meth:`__replace__`:
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and customizing it with :meth:`_replace`:
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::
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>>> Account = namedtuple('Account', 'owner balance transaction_count')
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>>> model_account = Account('<owner name>', 0.0, 0)
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>>> johns_account = model_account.__replace__(owner='John')
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>>> johns_account = model_account._replace(owner='John')
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.. rubric:: Footnotes
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@ -277,6 +277,48 @@ List comprehensions can be applied to complex expressions and nested functions::
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['3.1', '3.14', '3.142', '3.1416', '3.14159']
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Nested List Comprehensions
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--------------------------
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If you've got the stomach for it, list comprehensions can be nested. They are a
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powerful tool but -- like all powerful tools -- they need to be used carefully,
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if at all.
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Consider the following example of a 3x3 matrix held as a list containing three
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lists, one list per row::
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>>> mat = [
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... [1, 2, 3],
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... [4, 5, 6],
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... [7, 8, 9],
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... ]
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Now, if you wanted to swap rows and columns, you could use a list
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comprehension::
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>>> print [[row[i] for row in mat] for i in [0, 1, 2]]
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[[1, 4, 7], [2, 5, 8], [3, 6, 9]]
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Special care has to be taken for the *nested* list comprehension:
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To avoid apprehension when nesting list comprehensions, read from right to
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left.
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A more verbose version of this snippet shows the flow explicitly::
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for i in [0, 1, 2]:
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for row in mat:
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print row[i],
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print
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In real world, you should prefer builtin functions to complex flow statements.
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The :func:`zip` function would do a great job for this use case::
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>>> zip(*mat)
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[(1, 4, 7), (2, 5, 8), (3, 6, 9)]
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See :ref:`tut-unpacking-arguments` for details on the asterisk in this line.
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.. _tut-del:
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The :keyword:`del` statement
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@ -528,7 +528,7 @@ complete list of changes, or look through the CVS logs for all the details.
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... 'id name type size')
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# Names are separated by spaces or commas.
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# 'id, name, type, size' would also work.
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>>> var_type.__fields__
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>>> var_type._fields
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('id', 'name', 'type', 'size')
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>>> var = var_type(1, 'frequency', 'int', 4)
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@ -536,9 +536,9 @@ complete list of changes, or look through the CVS logs for all the details.
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1 1
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>>> print var[2], var.type # Equivalent
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int int
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>>> var.__asdict__()
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>>> var._asdict()
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{'size': 4, 'type': 'int', 'id': 1, 'name': 'frequency'}
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>>> v2 = var.__replace__('name', 'amplitude')
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>>> v2 = var._replace('name', 'amplitude')
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>>> v2
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variable(id=1, name='amplitude', type='int', size=4)
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@ -26,12 +26,12 @@ def namedtuple(typename, field_names, verbose=False):
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(11, 22)
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>>> p.x + p.y # fields also accessable by name
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33
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>>> d = p.__asdict__() # convert to a dictionary
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>>> d = p._asdict() # convert to a dictionary
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>>> d['x']
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11
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>>> Point(**d) # convert from a dictionary
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Point(x=11, y=22)
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>>> p.__replace__(x=100) # __replace__() is like str.replace() but targets named fields
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>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
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Point(x=100, y=22)
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"""
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@ -49,8 +49,8 @@ def namedtuple(typename, field_names, verbose=False):
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raise ValueError('Type names and field names cannot start with a number: %r' % name)
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seen_names = set()
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for name in field_names:
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if name.startswith('__') and name.endswith('__') and len(name) > 3:
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raise ValueError('Field names cannot start and end with double underscores: %r' % name)
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if name.startswith('_'):
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raise ValueError('Field names cannot start with an underscore: %r' % name)
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if name in seen_names:
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raise ValueError('Encountered duplicate field name: %r' % name)
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seen_names.add(name)
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@ -59,19 +59,19 @@ def namedtuple(typename, field_names, verbose=False):
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argtxt = repr(field_names).replace("'", "")[1:-1] # tuple repr without parens or quotes
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reprtxt = ', '.join('%s=%%r' % name for name in field_names)
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template = '''class %(typename)s(tuple):
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'%(typename)s(%(argtxt)s)'
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__slots__ = ()
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__fields__ = property(lambda self: %(field_names)r)
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'%(typename)s(%(argtxt)s)' \n
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__slots__ = () \n
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_fields = property(lambda self: %(field_names)r) \n
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def __new__(cls, %(argtxt)s):
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return tuple.__new__(cls, (%(argtxt)s))
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return tuple.__new__(cls, (%(argtxt)s)) \n
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def __repr__(self):
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return '%(typename)s(%(reprtxt)s)' %% self
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def __asdict__(self, dict=dict, zip=zip):
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'Return a new dict mapping field names to their values'
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return dict(zip(%(field_names)r, self))
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def __replace__(self, **kwds):
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return '%(typename)s(%(reprtxt)s)' %% self \n
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def _asdict(self, dict=dict, zip=zip):
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'Return a new dict which maps field names to their values'
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return dict(zip(%(field_names)r, self)) \n
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def _replace(self, **kwds):
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'Return a new %(typename)s object replacing specified fields with new values'
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return %(typename)s(**dict(zip(%(field_names)r, self), **kwds)) \n''' % locals()
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return %(typename)s(*map(kwds.get, %(field_names)r, self)) \n\n''' % locals()
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for i, name in enumerate(field_names):
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template += ' %s = property(itemgetter(%d))\n' % (name, i)
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if verbose:
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@ -31,8 +31,10 @@ if os.name == "nt" and "pcbuild" in project_base[-8:].lower():
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# python_build: (Boolean) if true, we're either building Python or
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# building an extension with an un-installed Python, so we use
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# different (hard-wired) directories.
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python_build = os.path.isfile(os.path.join(project_base, "Modules",
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"Setup.local"))
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# Setup.local is available for Makefile builds including VPATH builds,
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# Setup.dist is available on Windows
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python_build = any(os.path.isfile(os.path.join(project_base, "Modules", fn))
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for fn in ("Setup.dist", "Setup.local"))
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def get_python_version():
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"""Return a string containing the major and minor Python version,
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|
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@ -15,7 +15,7 @@ class SysconfigTestCase(unittest.TestCase):
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def test_get_python_lib(self):
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lib_dir = sysconfig.get_python_lib()
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# XXX doesn't work on Inux when Python was never installed before
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# XXX doesn't work on Linux when Python was never installed before
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#self.assert_(os.path.isdir(lib_dir), lib_dir)
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# test for pythonxx.lib?
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@ -28,11 +28,11 @@ class TestNamedTuple(unittest.TestCase):
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self.assertRaises(ValueError, namedtuple, 'abc', 'efg g%hi') # field with non-alpha char
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self.assertRaises(ValueError, namedtuple, 'abc', 'abc class') # field has keyword
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self.assertRaises(ValueError, namedtuple, 'abc', '8efg 9ghi') # field starts with digit
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self.assertRaises(ValueError, namedtuple, 'abc', '__efg__ ghi') # field with double underscores
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self.assertRaises(ValueError, namedtuple, 'abc', '_efg ghi') # field with leading underscore
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self.assertRaises(ValueError, namedtuple, 'abc', 'efg efg ghi') # duplicate field
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namedtuple('Point0', 'x1 y2') # Verify that numbers are allowed in names
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namedtuple('_', '_ __ ___') # Verify that underscores are allowed
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namedtuple('_', 'a b c') # Test leading underscores in a typename
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def test_instance(self):
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Point = namedtuple('Point', 'x y')
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|
@ -49,17 +49,17 @@ class TestNamedTuple(unittest.TestCase):
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self.assertEqual(repr(p), 'Point(x=11, y=22)')
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self.assert_('__dict__' not in dir(p)) # verify instance has no dict
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self.assert_('__weakref__' not in dir(p))
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self.assertEqual(p.__fields__, ('x', 'y')) # test __fields__ attribute
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self.assertEqual(p.__replace__(x=1), (1, 22)) # test __replace__ method
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self.assertEqual(p.__asdict__(), dict(x=11, y=22)) # test __dict__ method
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self.assertEqual(p._fields, ('x', 'y')) # test _fields attribute
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self.assertEqual(p._replace(x=1), (1, 22)) # test _replace method
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self.assertEqual(p._asdict(), dict(x=11, y=22)) # test _asdict method
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# Verify that __fields__ is read-only
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# Verify that _fields is read-only
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try:
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p.__fields__ = ('F1' ,'F2')
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p._fields = ('F1' ,'F2')
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except AttributeError:
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pass
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else:
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self.fail('The __fields__ attribute needs to be read-only')
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self.fail('The _fields attribute needs to be read-only')
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# verify that field string can have commas
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Point = namedtuple('Point', 'x, y')
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|
|
|
@ -0,0 +1,98 @@
|
|||
# Test case for property
|
||||
# more tests are in test_descr
|
||||
|
||||
import unittest
|
||||
from test.test_support import run_unittest
|
||||
|
||||
class PropertyBase(Exception):
|
||||
pass
|
||||
|
||||
class PropertyGet(PropertyBase):
|
||||
pass
|
||||
|
||||
class PropertySet(PropertyBase):
|
||||
pass
|
||||
|
||||
class PropertyDel(PropertyBase):
|
||||
pass
|
||||
|
||||
class BaseClass(object):
|
||||
def __init__(self):
|
||||
self._spam = 5
|
||||
|
||||
@property
|
||||
def spam(self):
|
||||
"""BaseClass.getter"""
|
||||
return self._spam
|
||||
|
||||
@spam.setter
|
||||
def spam(self, value):
|
||||
self._spam = value
|
||||
|
||||
@spam.deleter
|
||||
def spam(self):
|
||||
del self._spam
|
||||
|
||||
class SubClass(BaseClass):
|
||||
|
||||
@BaseClass.spam.getter
|
||||
def spam(self):
|
||||
"""SubClass.getter"""
|
||||
raise PropertyGet(self._spam)
|
||||
|
||||
@spam.setter
|
||||
def spam(self, value):
|
||||
raise PropertySet(self._spam)
|
||||
|
||||
@spam.deleter
|
||||
def spam(self):
|
||||
raise PropertyDel(self._spam)
|
||||
|
||||
class PropertyDocBase(object):
|
||||
_spam = 1
|
||||
def _get_spam(self):
|
||||
return self._spam
|
||||
spam = property(_get_spam, doc="spam spam spam")
|
||||
|
||||
class PropertyDocSub(PropertyDocBase):
|
||||
@PropertyDocBase.spam.getter
|
||||
def spam(self):
|
||||
"""The decorator does not use this doc string"""
|
||||
return self._spam
|
||||
|
||||
class PropertyTests(unittest.TestCase):
|
||||
def test_property_decorator_baseclass(self):
|
||||
# see #1620
|
||||
base = BaseClass()
|
||||
self.assertEqual(base.spam, 5)
|
||||
self.assertEqual(base._spam, 5)
|
||||
base.spam = 10
|
||||
self.assertEqual(base.spam, 10)
|
||||
self.assertEqual(base._spam, 10)
|
||||
delattr(base, "spam")
|
||||
self.assert_(not hasattr(base, "spam"))
|
||||
self.assert_(not hasattr(base, "_spam"))
|
||||
base.spam = 20
|
||||
self.assertEqual(base.spam, 20)
|
||||
self.assertEqual(base._spam, 20)
|
||||
self.assertEqual(base.__class__.spam.__doc__, "BaseClass.getter")
|
||||
|
||||
def test_property_decorator_subclass(self):
|
||||
# see #1620
|
||||
sub = SubClass()
|
||||
self.assertRaises(PropertyGet, getattr, sub, "spam")
|
||||
self.assertRaises(PropertySet, setattr, sub, "spam", None)
|
||||
self.assertRaises(PropertyDel, delattr, sub, "spam")
|
||||
self.assertEqual(sub.__class__.spam.__doc__, "SubClass.getter")
|
||||
|
||||
def test_property_decorator_doc(self):
|
||||
base = PropertyDocBase()
|
||||
sub = PropertyDocSub()
|
||||
self.assertEqual(base.__class__.spam.__doc__, "spam spam spam")
|
||||
self.assertEqual(sub.__class__.spam.__doc__, "spam spam spam")
|
||||
|
||||
def test_main():
|
||||
run_unittest(PropertyTests)
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_main()
|
|
@ -256,7 +256,7 @@ ffi_closure_SYSV_inner (closure, respp, args)
|
|||
void **respp;
|
||||
void *args;
|
||||
{
|
||||
// our various things...
|
||||
/* our various things... */
|
||||
ffi_cif *cif;
|
||||
void **arg_area;
|
||||
|
||||
|
|
|
@ -656,7 +656,7 @@ _get_peer_alt_names (X509 *certificate) {
|
|||
char buf[2048];
|
||||
char *vptr;
|
||||
int len;
|
||||
unsigned char *p;
|
||||
const unsigned char *p;
|
||||
|
||||
if (certificate == NULL)
|
||||
return peer_alt_names;
|
||||
|
|
|
@ -232,7 +232,7 @@ typedef struct {
|
|||
#define DBSequenceObject_Check(v) ((v)->ob_type == bsddb_api->dbsequence_type)
|
||||
#endif
|
||||
|
||||
#endif // COMPILING_BSDDB_C
|
||||
#endif /* COMPILING_BSDDB_C */
|
||||
|
||||
|
||||
#endif // _BSDDB_H_
|
||||
#endif /* _BSDDB_H_ */
|
||||
|
|
|
@ -203,7 +203,7 @@ ENCODER(iso2022)
|
|||
} else
|
||||
encoded = dsg->encoder(&c, &length);
|
||||
#else
|
||||
encoded = dsg->encoder(*inbuf, &length);
|
||||
encoded = dsg->encoder(&c, &length);
|
||||
#endif
|
||||
if (encoded != MAP_UNMAPPABLE) {
|
||||
insize = length;
|
||||
|
|
|
@ -1065,8 +1065,12 @@ typedef struct {
|
|||
PyObject *prop_set;
|
||||
PyObject *prop_del;
|
||||
PyObject *prop_doc;
|
||||
int getter_doc;
|
||||
} propertyobject;
|
||||
|
||||
static PyObject * property_copy(PyObject *, PyObject *, PyObject *,
|
||||
PyObject *, PyObject *);
|
||||
|
||||
static PyMemberDef property_members[] = {
|
||||
{"fget", T_OBJECT, offsetof(propertyobject, prop_get), READONLY},
|
||||
{"fset", T_OBJECT, offsetof(propertyobject, prop_set), READONLY},
|
||||
|
@ -1075,53 +1079,37 @@ static PyMemberDef property_members[] = {
|
|||
{0}
|
||||
};
|
||||
|
||||
|
||||
PyDoc_STRVAR(getter_doc,
|
||||
"Descriptor to change the getter on a property.");
|
||||
|
||||
PyObject *
|
||||
property_getter(PyObject *self, PyObject *getter)
|
||||
{
|
||||
Py_XDECREF(((propertyobject *)self)->prop_get);
|
||||
if (getter == Py_None)
|
||||
getter = NULL;
|
||||
Py_XINCREF(getter);
|
||||
((propertyobject *)self)->prop_get = getter;
|
||||
Py_INCREF(self);
|
||||
return self;
|
||||
return property_copy(self, getter, NULL, NULL, NULL);
|
||||
}
|
||||
|
||||
|
||||
PyDoc_STRVAR(setter_doc,
|
||||
"Descriptor to change the setter on a property.\n");
|
||||
"Descriptor to change the setter on a property.");
|
||||
|
||||
PyObject *
|
||||
property_setter(PyObject *self, PyObject *setter)
|
||||
{
|
||||
Py_XDECREF(((propertyobject *)self)->prop_set);
|
||||
if (setter == Py_None)
|
||||
setter = NULL;
|
||||
Py_XINCREF(setter);
|
||||
((propertyobject *)self)->prop_set = setter;
|
||||
Py_INCREF(self);
|
||||
return self;
|
||||
return property_copy(self, NULL, setter, NULL, NULL);
|
||||
}
|
||||
|
||||
|
||||
PyDoc_STRVAR(deleter_doc,
|
||||
"Descriptor to change the deleter on a property.");
|
||||
|
||||
PyObject *
|
||||
property_deleter(PyObject *self, PyObject *deleter)
|
||||
{
|
||||
Py_XDECREF(((propertyobject *)self)->prop_del);
|
||||
if (deleter == Py_None)
|
||||
deleter = NULL;
|
||||
Py_XINCREF(deleter);
|
||||
((propertyobject *)self)->prop_del = deleter;
|
||||
Py_INCREF(self);
|
||||
return self;
|
||||
return property_copy(self, NULL, NULL, deleter, NULL);
|
||||
}
|
||||
|
||||
|
||||
|
||||
static PyMethodDef property_methods[] = {
|
||||
{"getter", property_getter, METH_O, getter_doc},
|
||||
{"setter", property_setter, METH_O, setter_doc},
|
||||
|
@ -1186,15 +1174,62 @@ property_descr_set(PyObject *self, PyObject *obj, PyObject *value)
|
|||
return 0;
|
||||
}
|
||||
|
||||
static PyObject *
|
||||
property_copy(PyObject *old, PyObject *get, PyObject *set, PyObject *del,
|
||||
PyObject *doc)
|
||||
{
|
||||
propertyobject *pold = (propertyobject *)old;
|
||||
propertyobject *pnew = NULL;
|
||||
PyObject *new, *type;
|
||||
|
||||
type = PyObject_Type(old);
|
||||
if (type == NULL)
|
||||
return NULL;
|
||||
|
||||
if (get == NULL || get == Py_None) {
|
||||
Py_XDECREF(get);
|
||||
get = pold->prop_get ? pold->prop_get : Py_None;
|
||||
}
|
||||
if (set == NULL || set == Py_None) {
|
||||
Py_XDECREF(set);
|
||||
set = pold->prop_set ? pold->prop_set : Py_None;
|
||||
}
|
||||
if (del == NULL || del == Py_None) {
|
||||
Py_XDECREF(del);
|
||||
del = pold->prop_del ? pold->prop_del : Py_None;
|
||||
}
|
||||
if (doc == NULL || doc == Py_None) {
|
||||
Py_XDECREF(doc);
|
||||
doc = pold->prop_doc ? pold->prop_doc : Py_None;
|
||||
}
|
||||
|
||||
new = PyObject_CallFunction(type, "OOOO", get, set, del, doc);
|
||||
if (new == NULL)
|
||||
return NULL;
|
||||
pnew = (propertyobject *)new;
|
||||
|
||||
if (pold->getter_doc && get != Py_None) {
|
||||
PyObject *get_doc = PyObject_GetAttrString(get, "__doc__");
|
||||
if (get_doc != NULL) {
|
||||
Py_XDECREF(pnew->prop_doc);
|
||||
pnew->prop_doc = get_doc; /* get_doc already INCREF'd by GetAttr */
|
||||
pnew->getter_doc = 1;
|
||||
} else {
|
||||
PyErr_Clear();
|
||||
}
|
||||
}
|
||||
return new;
|
||||
}
|
||||
|
||||
static int
|
||||
property_init(PyObject *self, PyObject *args, PyObject *kwds)
|
||||
{
|
||||
PyObject *get = NULL, *set = NULL, *del = NULL, *doc = NULL;
|
||||
static char *kwlist[] = {"fget", "fset", "fdel", "doc", 0};
|
||||
propertyobject *gs = (propertyobject *)self;
|
||||
|
||||
propertyobject *prop = (propertyobject *)self;
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(args, kwds, "|OOOO:property",
|
||||
kwlist, &get, &set, &del, &doc))
|
||||
kwlist, &get, &set, &del, &doc))
|
||||
return -1;
|
||||
|
||||
if (get == Py_None)
|
||||
|
@ -1209,22 +1244,24 @@ property_init(PyObject *self, PyObject *args, PyObject *kwds)
|
|||
Py_XINCREF(del);
|
||||
Py_XINCREF(doc);
|
||||
|
||||
prop->prop_get = get;
|
||||
prop->prop_set = set;
|
||||
prop->prop_del = del;
|
||||
prop->prop_doc = doc;
|
||||
prop->getter_doc = 0;
|
||||
|
||||
/* if no docstring given and the getter has one, use that one */
|
||||
if ((doc == NULL || doc == Py_None) && get != NULL) {
|
||||
PyObject *get_doc = PyObject_GetAttrString(get, "__doc__");
|
||||
if (get_doc != NULL) {
|
||||
Py_XDECREF(doc);
|
||||
doc = get_doc; /* get_doc already INCREF'd by GetAttr */
|
||||
Py_XDECREF(prop->prop_doc);
|
||||
prop->prop_doc = get_doc; /* get_doc already INCREF'd by GetAttr */
|
||||
prop->getter_doc = 1;
|
||||
} else {
|
||||
PyErr_Clear();
|
||||
}
|
||||
}
|
||||
|
||||
gs->prop_get = get;
|
||||
gs->prop_set = set;
|
||||
gs->prop_del = del;
|
||||
gs->prop_doc = doc;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
|
|
@ -668,8 +668,9 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag)
|
|||
#define STACKADJ(n) { (void)(BASIC_STACKADJ(n), \
|
||||
lltrace && prtrace(TOP(), "stackadj")); \
|
||||
assert(STACK_LEVEL() <= co->co_stacksize); }
|
||||
#define EXT_POP(STACK_POINTER) (lltrace && prtrace((STACK_POINTER)[-1], \
|
||||
"ext_pop"), *--(STACK_POINTER))
|
||||
#define EXT_POP(STACK_POINTER) ((void)(lltrace && \
|
||||
prtrace((STACK_POINTER)[-1], "ext_pop")), \
|
||||
*--(STACK_POINTER))
|
||||
#else
|
||||
#define PUSH(v) BASIC_PUSH(v)
|
||||
#define POP() BASIC_POP()
|
||||
|
|
Loading…
Reference in New Issue