scheme in situations that likely won't benefit from it. This further
improves memory utilization from Py2.3 which always over-allocates
except for PyList_New().
Situations expected to benefit from over-allocation:
list.insert(), list.pop(), list.append(), and list.extend()
Situations deemed unlikely to benefit:
list_inplace_repeat, list_ass_slice, list_ass_subscript
The most gray area was for listextend_internal() which only runs
when the argument is a list or a tuple. This could be viewed as
a one-time fixed length addition or it could be viewed as wrapping
a series of appends. I left its over-allocation turned on but
could be convinced otherwise.
array.extend() now accepts iterable arguments implements as a series
of appends. Besides being a user convenience and matching the behavior
for lists, this the saves memory and cycles that would be used to
create a temporary array object.
lists. Speeds append() operations and reduces memory requirements
(because of more conservative overallocation).
Paves the way for the feature request for array.extend() to support
arbitrary iterable arguments.
- there were no accessor functions for the global per-database fields
- packages and their dependencies were installed in order in stead
of in reverse order.
donated by Kevin Ollivier. This is now the default downloader.
- Added a watcher mechanism, whereby downloaders and unpackers (and,
later builders) can give status feedback to the user. When running
pimp as a command line tool in verbose mode print this output.
worth it to in-line the call to PyIter_Next().
Saves another 15% on most list operations that acceptable a general
iterable argument (such as the list constructor).
avoids creating an intermediate tuple for iterable arguments other than
lists or tuples.
In other words, a+=b no longer requires extra memory when b is not a
list or tuple. The list and tuple cases are unchanged.
for xrange and list objects).
* list.__reversed__ now checks the length of the sequence object before
calling PyList_GET_ITEM() because the mutable could have changed length.
* all three implementations are now tranparent with respect to length and
maintain the invariant len(it) == len(list(it)) even when the underlying
sequence mutates.
* __builtin__.reversed() now frees the underlying sequence as soon
as the iterator is exhausted.
* the code paths were rearranged so that the most common paths
do not require a jump.
* Replace sprintf message with a constant message string -- this error
message ran on every invocation except straight deletions but it was
only needed when the rhs was not iterable. The message was also
out-of-date and did not reflect that iterable arguments were allowed.
* For inner loops that do not make ref count adjustments, use memmove()
for fast copying and better readability.
* For inner loops that do make ref count adjustments, speed them up by
factoring out the constant structure reference and using vitem[] instead.
* Defer error handling for wrong number of arguments to the
unpack_iterable() function. Cuts the code size almost in half.
* Replace function calls to PyList_Size() and PyTuple_Size() with
their smaller and faster macro counterparts.
* Move the constant structure references outside of the inner loops.
Side-effects were deemed unnecessary and were causing problems at shutdown
time when threads were catching exceptions at start time and then triggering
exceptions trying to call currentThread() after gc'ed. Masked the initial
exception which was deemed bad.
Fixes bug #754449 .
The writelines() method now accepts any iterable argument and writes
the lines one at a time rather than using ''.join(lines) followed by
a single write. Results in considerable memory savings and makes the
method suitable for use with generator expressions.
The writelines() method now accepts any iterable argument and writes
the lines one at a time rather than using ''.join(lines) followed by
a single write. Results in considerable memory savings and makes
the method suitable for use with generator expressions.
M ClassBrowser.py
M ColorDelegator.py
M EditorWindow.py
M NEWS.txt
M PyShell.py
M TreeWidget.py
M config-highlight.def
M configDialog.py
M configHandler.py
* Using addition instead of substraction on array indices allows the
compiler to use a fast addressing mode. Saves about 10%.
* Using PyTuple_GET_ITEM and PyList_SET_ITEM is about 7% faster than
PySequenceFast_GET_ITEM which has to make a list check on every pass.
Gregory P. Smith
Kurt B. Kaiser
Raymond Hettinger
Walter Dörwald
Jack Jansen
Skip Montanaro
Neil Schemenauer
Hye-Shik Chang
Brett Cannon
Vinay Sajip