this type of test fails, vereq() does a better job of reporting than
verify().
Change vereq(x, y) to use "not x == y" rather than "x != y" -- it
makes a difference is some overloading tests.
Most of this code was old enough to vote. Examples of cleanups:
+ Backslashes were used for line continuation even inside unclosed
bracket structures, from back in the days that was still needed.
+ There was no use of % formats, and e.g. the old fpformat module was
still used to format floats "by hand" in conjunction with rjust().
+ There was even use of a do-nothing .ignore() method to tack on to the
end of a chain of method calls, else way back when Python would print
the non-None result (as it does now in an interactive session -- it
*used* to do that in batch mode too).
+ Perhaps controversial (although I can't imagine why for real <wink>),
used augmented assignment where helpful. Stuff like
self.total_calls = self.total_calls + other.total_calls
is just plain harder to follow than
self.total_calls += other.total_calls
seriously wrong. This started out by just fixing the docs, but then it
occurred to me that the doc confusion propagated into misleading vrbl names
too, so I also renamed those to match reality. As a result, INO the time
computations are much easier to understand now (within the limitations of
vast quantities of 3-character names <wink>).
many types were subclassable but had a xxx_dealloc function that
called PyObject_DEL(self) directly instead of deferring to
self->ob_type->tp_free(self). It is permissible to set tp_free in the
type object directly to _PyObject_Del, for non-GC types, or to
_PyObject_GC_Del, for GC types. Still, PyObject_DEL was a tad faster,
so I'm fearing that our pystone rating is going down again. I'm not
sure if doing something like
void xxx_dealloc(PyObject *self)
{
if (PyXxxCheckExact(self))
PyObject_DEL(self);
else
self->ob_type->tp_free(self);
}
is any faster than always calling the else branch, so I haven't
attempted that -- however those types whose own dealloc is fancier
(int, float, unicode) do use this pattern.
This patch allows ConfigParser.getboolean() to interpret TRUE,
FALSE, YES, NO, ON and OFF instead just '0' and '1'.
While just allowing '0' and '1' sounds more correct users often
demand to use more descriptive directives in configuration
files. Instead of forcing every programmer do brew his own
solution a system should include the batteries for this.
[My modification to the patch is a slight rewording of the docstring
and use of lowercase instead of uppercase templates. The code is
still case sensitive. GvR.]
optional, and default to `localhost' and ports 8025 and 25
respectively.
SMTPChannel.__init__(): Calculate __fqdn using socket.getfqdn()
instead of gethostby*() and friends. This allows us to run this
script even if we don't have access to dns (assuming the localhost is
configured properly).
Also, restore my precious page breaks. Hands off, oh Whitespace
Normalizer!
For a dynamically constructed type object, fill in the tp_doc slot with
a copy of the argument dict's "__doc__" value, provided the latter exists
and is a string.
NOTE: I don't know what to do if it's a Unicode string, so in that case
tp_doc is left NULL (which shows up as Py_None if you do Class.__doc__).
Note that tp_doc holds a char*, not a general PyObject*.
it deals correctly with some anomalous cases; according to this test
suite I've fixed it right.
The anomalous cases had to do with 'exception' events: these aren't
generated when they would be most helpful, and the profiler has to
work hard to recover the right information. The problems occur when C
code (such as hasattr(), which is used as the example here) calls back
into Python code and clears an exception raised by that Python code.
Consider this example:
def foo():
hasattr(obj, "bar")
Where obj is an instance from a class like this:
class C:
def __getattr__(self, name):
raise AttributeError
The profiler sees the following sequence of events:
call (foo)
call (__getattr__)
exception (in __getattr__)
return (from foo)
Previously, the profiler would assume the return event returned from
__getattr__. An if statement checking for this condition and raising
an exception was commented out... This version does the right thing.
test for modifying __getattr__ works, now that slot_tp_getattr_hook
zaps the slot if there's no hook. Added an XXX comment with a ref
back to slot_tp_getattr_hook.
Taught doctest about static methods, class methods, and property docstrings
in new-style classes. As for inspect.py/pydoc.py before it, the new stuff
needed didn't really fit into the old architecture (but was less of a
strain to force-fit here).
New-style class docstrings still aren't found, but that's the subject
of a different bug and I want to fix that right instead of hacking around
it in doctest.
instances).
Also added GC support to various auxiliary types: super, property,
descriptors, wrappers, dictproxy. (Only type objects have a tp_clear
field; the other types are.)
One change was necessary to the GC infrastructure. We have statically
allocated type objects that don't have a GC header (and can't easily
be given one) and heap-allocated type objects that do have a GC
header. Giving these different metatypes would be really ugly: I
tried, and I had to modify pickle.py, cPickle.c, copy.py, add a new
invent a new name for the new metatype and make it a built-in, change
affected tests... In short, a mess. So instead, we add a new type
slot tp_is_gc, which is a simple Boolean function that determines
whether a particular instance has GC headers or not. This slot is
only relevant for types that have the (new) GC flag bit set. If the
tp_is_gc slot is NULL (by far the most common case), all instances of
the type are deemed to have GC headers. This slot is called by the
PyObject_IS_GC() macro (which is only used twice, both times in
gcmodule.c).
I also changed the extern declarations for a bunch of GC-related
functions (_PyObject_GC_Del etc.): these always exist but objimpl.h
only declared them when WITH_CYCLE_GC was defined, but I needed to be
able to reference them without #ifdefs. (When WITH_CYCLE_GC is not
defined, they do the same as their non-GC counterparts anyway.)
- The test for deepcopy() in pickles() was indented wrongly, so it got
run twice (one for binary pickle mode, one for text pickle mode; but
the test doesn't depend on the pickle mode).
- In verbose mode, show which subtest (pickle/cPickle/deepcopy, text/bin).
in run_test() referenced two non-existent variables, and in
non-verbose mode, the tests didn't report the actual number, when it
differed from the expected number. Fixed this.
Also added an extra call to gc.collect() at the start of test_all().
This will be needed when I check in the changes to add GC to new-style
classes.
from Tim Hochberg. Also mucho fiddling to change the way doctest
determines whether a thing is a function, module or class. Under 2.2,
this really requires the functions in inspect.py (e.g., types.ClassType
is close to meaningless now, if not outright misleading).
I modified nntplib so the body method can accept an
optional second parameter pointing to a filehandle or
filename (string). This way, really long body
articles can be stored to disk instead of kept in
memory. The way I made the modification should make
it easy to extend this functionality to other extended
return methods.
This is probably a little bit faster, but mostly is just cleaner code.
The old-style support is still used for Python versions < 2.2 so this
source file can be shared with PyXML.
staticness when __dynamic__ = 1 becomes the default:
- Some classes which are used to test the difference between static
and dynamic.
- Subclasses of complex: complex uses old-style numbers and the slot
wrappers used by dynamic classes only support new-style numbers.
(Ideally, the complex type should be fixed, but that looks like a
labor-intensive job.)
__rop__ now takes precendence over __op__. Those circumstances are:
- Both arguments are new-style classes
- Both arguments are new-style numbers
- Their implementation slots for tp_op differ
- Their types differ
- The right argument's type is a subtype of the left argument's type
Also did this for the ternary operator (pow) -- only the binary case
is dealt with properly though, since __rpow__ is not supported anyway.
depending on the cycle detector code in the library implementation.
This is a *slightly* different patch than SF patch #417795, but takes
the same approach. (This version avoids calling the __len__() method of
the dict in the remove() functions.)
This closes SF patch #417795.
fallback for objects that are neither supported by our dispatch table
nor have a __copy__ or __deepcopy__ method.
Changes to _reduce() in copy_reg.py to support reducing objects that
don't have a __dict__ -- copy.copy(complex()) now invokes _reduce().
Add tests for copy.copy() and copy.deepcopy() to test_regrtest.py.
getting displayed, due to a special case here whose purpose I didn't
understand. So just disabled the doc suppression here.
Another special case here skips the docs when picking apart a method
and finding that the im_func is also in the class __dict__ under
the same name. That one I understood. It has a curious consequence,
though, wrt inherited properties: a static class copies inherited stuff
into the inheriting class's dict, and that affects whether or not this
special case triggers. The upshoot is that pydoc doesn't show the
function docstrings of getter/setter/deleter functions of inherited
properties in the property section when the class is static, but does
when the class is dynamic (bring up Lib/test/pydocfodder.py under
GUI pydoc to see this).
Add raise_exception() to the _testcapi module. It isn't a test, but
the C API exists only to support test_exceptions. raise_exception()
takes two arguments -- an exception class and an integer specifying
how many arguments it should be called with.
test_exceptions uses BadException() to test the interpreter's behavior
when there is a problem instantiating the exception. test_capi1()
calls it with too many arguments. test_capi2() causes an exception to
be raised in the Python code of the constructor.
Also, add a clause to the big-if to handle message/delivery-status
content types. These create a message with subparts that are
Message instances, which best represent the header blocks of this
content type.
get_type(): Use a compiled regular expression, which can be shared.
_get_params_preserve(): A helper method which extracts the header's
parameter list preserving value quoting. I'm not sure that this
needs to be a public method. It's necessary because we want
get_param() and friends to return the unquoted parameter value,
however we want the quote-preserved form for set_boundary().
get_params(), get_param(), set_boundary(): Implement in terms of
_get_params_preserve().
walk(): Yield ourself first, then recurse over our subparts (if any).
Text.py and class Text => MIMEText.py and MIMEText
MessageRFC822.py and class MessageRFC822 => MIMEMessage.py and MIMEMessage
These are renamed so as to be more consistent; these are MIME specific
derived classes for when creating the object model out of whole cloth.
_handle_text(): If the payload is None, then just return (i.e. don't
write anything). Subparts of message/delivery-status types
will have this property since they are just blocks of headers.
Also, when raising the TypeError, include the type of the
payload in the error message.
_handle_multipart(), _handle_message(): When creating a clone of self,
pass in our _mangle_from_ and maxheaderlen flags so the clone
has the same behavior.
_handle_message_delivery_status(): New method to do the proper
printing of message/delivery-status type messages. These have
to be handled differently than other message/* types because
their payloads are subparts containing just blocks of headers.
In class DecodedGenerator:
_dispatch(): Skip over multipart/* messages since we don't care
about them, and don't want the non-text format to appear in
the printed results.
the local save/modify/restore of sys.stdout, but add machinery so that
regrtest can tell test_support the value of sys.stdout at the time
regrtest.main() started, and test_support can pass that out later to anyone
who needs a "visible" stdout.
- Made cls.__module__ writable.
- Ensure that obj.__dict__ is returned as {}, not None, even upon first
reference; it simply springs into life when you ask for it.
(*) The pickling support is provisional for the following reasons:
- It doesn't support classes with __slots__.
- It relies on additional support in copy_reg.py: the C method
__reduce__, defined in the object class, really calls calling
copy_reg._reduce(obj). Eventually the Python code in copy_reg.py
needs to be migrated to C, but I'd like to experiment with the
Python implementation first. The _reduce() code also relies on an
additional helper function, _reconstructor(), defined in
copy_reg.py; this should also be reimplemented in C.
property() (get, set, del; not set, get, del).
+ Change "Data defined/inherited in ..." header lines to
"Data and non-method functions defined/inherited in ...". Things like
the value of __class__, and __new__, and class vrbls like the i in
class C:
i = int
show up in this section too. I don't think it's worth a separate
section to distinguish them from non-callable attrs, and there's no
obvious reliable way to distinguish callable from non-callable attrs
anyway.
than <type 'ClassName'>. Exception: if it's a built-in type or an
extension type, continue to call it <type 'ClassName>. Call me a
wimp, but I don't want to break more user code than necessary.
same. I hope the test for structural equivalence is stringent enough.
It only allows the assignment if the old and new types:
- have the same basic size
- have the same item size
- have the same dict offset
- have the same weaklist offset
- have the same GC flag bit
- have a common base that is the same except for maybe the dict and
weaklist (which may have been added separately at the same offsets
in both types)
always been close to useless, because the <small>-ified docstrings
were too small to read, even after cranking up my default font size
just for pydoc. Now it reads fine under my defaults (as does most
of the web <0.5 wink>). If it's thought important to play tricks
with font size, tough, then someone should rework pydoc to use style
sheets, and (more) predictable percentage-of-default size controls.
+ Tried to ensure that all <dt> and <dd> tags are closed. I've read (but
don't know) that some browsers get confused if they're not, and esp.
when style sheets are in use too.
properties: the docstring (if any) is displayed, and the getter, setter
and deleter (if any) functions are named. All that is shown indented
after the property name.
+ Text-mode pydoc class display now draws a horizontal line between
class attribute groups (similar to GUI mode -- while visually more
intrusive in text mode, it's still an improvement).
- property() now takes 4 keyword arguments: fget, fset, fdel, doc.
Note that the real purpose of the 'f' prefix is to make fdel fit in
('del' is a keyword, so can't used as a keyword argument name).
- These map to visible readonly attributes 'fget', 'fset', 'fdel',
and '__doc__' in the property object.
- fget/fset/fdel weren't discoverable from Python before.
- __doc__ is new, and allows to associate a docstring with a property.
declarations and weird markup that we used to accept & ignore that recent
versions raised an exception for; the original behavior has been restored
and augmented (the user can decide what to do if they care; the default is
to ignore it as done in early versions).
Use a new internal method, error(), consistently to raise parse errors;
the new base class also uses this.
Adjust the parse_comment() method to return the new offset into the buffer
instead of the number of characters scanned; this was the only helper
method that did it this way, so we have better consistency now. Required
to share the new base class.
This fixes SF bug #448482 and #453706.
and HTMLParser modules (and indirectly for the htmllib.HTMLParser class).
This has all the support for scanning over DOCTYPE declarations; it warrants
having a base class since this is a fair amount of tedious code (since it's
fairly strict), and should be in a separate module to avoid compiling many
REs that are not used (which would happen if this were placed in either then
sgmllib or HTMLParser module).
+ Minor code cleanup, generalization and simplification.
+ "Do something" to make the attribute aggregation more apparent:
- In text mode, stick a "* " at the front of subgroup header lines.
- In GUI mode, display a horizontal rule between subgroups.
For GUI mode, this is a huge improvement, at least under IE.
mode (identify the source class for class attrs; segregate attrs according
to source class, and whether class method, static method, property, plain
method, or data; display data attrs; display docstrings for data attrs
when possible).
Alas, this is mondo ugly, and I'm no HTML guy. Part of the problem is
that pydoc's GUI mode has always been ugly under IE, largely because
<small> under IE renders docstrings unreadably small (while sometimes
non-docstring text is painfully large). Another part is that these
segregated listings of attrs would *probably* look much better as bulleted
lists. Alas, when I tried that, the bullets all ended up on lines by
themselves, before the method names; this is apparently because pydoc
(ab?)uses definition lists for format effects, and at least under IE
if a definition list is the first chunk of a list item, it gets rendered
on a line after the <li> bullet.
An HTML wizard would certainly be welcomed here.
This almost entirely replaces how pydoc pumps out class docs, but only
in text mode (like help(whatever) from a Python shell), not in GUI mode.
A class C's attrs are now grouped by the class in which they're defined,
attrs defined by C first, then inherited attrs grouped by alphabetic order
of the defining classes' names.
Within each of those groups, the attrs are subgrouped according to whether
they're plain methods, class methods, static methods, properties, or data.
Note that pydoc never dumped class data attrs before. If a class data
attr is implemented via a data descriptor, the data docstring (if any)
is also displayed (e.g., file.softspace).
Within a subgroup, the attrs are listed alphabetically.
This is a friggin' mess, and there are bound to be glitches. Please
beat on it and complain! Here are three glitches:
1. __new__ gets classifed as 'data', for some reason. This will
have to get fixed in inspect.py, but since the latter is already
looking for any clue that something is a method, pydoc will
almost certainly not know what to do with it when its classification
changes.
2. properties are special-cased to death. Unlike any other kind of
function or method, they don't have a __name__ attr, so none of
pydoc's usual code can deal with them. Worse, the getter and
setter and del'er methods associated with a property don't appear
to be discoverable from Python, so there's really nothing I can
think of to do here beyond just listing their names.
Note that a property can't be given a docstring, either (or at least
I've been unable to sneak one in) -- perhaps the property()
constructor could take an optional doc argument?
3. In a nested-scopes world, pydoc still doesn't know anything about
nesting, so e.g. classes nested in functions are effectively invisible.
<http://sf.net/projects/mimelib>. There /are/ API differences between
mimelib and email, but most of the implementations are shared (except
where cool Py2.2 stuff like generators are used).
point out, pydoc doesn't tell you where class attributes were defined,
gets several new 2.2 features wrong, and isn't aware of some new features
checked in on Thursday <wink>. pydoc is hampered in part because
inspect.py has the same limitations. Alas, I can't think of a way to
fix this within the current architecture of inspect/pydoc: it's simply
not possible in 2.2 to figure out everything needed just from examining
the object you get back from class.attr. You also need the class
context, and the method resolution order, and tests against various things
that simply didn't exist before. OTOH, knowledge of how to do that is
getting quite complex, so doesn't belong in pydoc.
classify_class_attrs takes a different approach, analyzing all
the class attrs "at once", and returning the most interesting stuff for
each, all in one gulp. pydoc needs to be reworked to use this for
classes (instead of the current "filter dir(class) umpteen times against
assorted predicates" approach).
easy for 2.2 new-style classes, but trickier for classic classes, and
different approaches are needed "depending". The function will allow
later code to treat all flavors of classes uniformly.
somewhere inside a line, use ndiff so that intraline difference marking
can point out what changed within a line. I don't remember diff-style
abbreviations either (haven't used it since '94, except to produce
patches), so say the rest in English too.
Lib/test/output/test_StringIO is no longer necessary.
Also, added a test of the iterator protocol that's just been added to
StringIO's and cStringIO's.
- if __getattribute__ exists, it is called first;
if it doesn't exists, PyObject_GenericGetAttr is called first.
- if the above raises AttributeError, and __getattr__ exists,
it is called.
the first difference, let the test run till completion, then gather
all the output and compare it to the expected output using difflib.
XXX Still to do: produce diff output that only shows the sections that
differ; currently it produces ndiff-style output because that's the
easiest to produce with difflib, but this becomes a liability when the
output is voluminous and there are only a few differences.
classes to __getattribute__, to make it crystal-clear that it doesn't
have the same semantics as overriding __getattr__ on classic classes.
This is a halfway checkin -- I'll proceed to add a __getattr__ hook
that works the way it works in classic classes.
elements which are not Unicode objects or strings. (This matches
the string.join() behaviour.)
Fix a memory leak in the .join() method which occurs in case
the Unicode resize fails.
Restore the test_unicode output.
Fred Drake
Guido van Rossum
Tim Peters
Steven M. Gava
Martin v. Löwis
Thomas Heller
Barry Warsaw
Andrew M. Kuchling
Skip Montanaro
Fredrik Lundh
Jeremy Hylton
Thomas Wouters
Marc-André Lemburg