Added new heapify() function, which transforms an arbitrary list into a
heap in linear time; that's a fundamental tool for using heaps in real
life <wink>.
Added heapyify() test. Added a "less naive" N-best algorithm to the test
suite, and noted that this could actually go much faster (building on
heapify()) if we had max-heaps instead of min-heaps (the iterative method
is appropriate when all the data isn't known in advance, but when it is
known in advance the tradeoffs get murkier).
at random, and replaces the elements at those positions with new random
values. I was pleasantly surprised by how fast this goes! It's hard to
conceive of an algorithm that could special-case for this effectively.
Plus it's exactly what happens if a burst of gamma rays corrupts your
sorted database on disk <wink>.
i 2**i *sort ... %sort
15 32768 0.18 ... 0.03
16 65536 0.24 ... 0.04
17 131072 0.53 ... 0.08
18 262144 1.17 ... 0.16
19 524288 2.56 ... 0.35
20 1048576 5.54 ... 0.77
and age of rampant computer breakins I imagine there are plenty of systems
with telnet disabled. Successful check of at least one getservbyname() call
is required for success
in the stability tests.
Bizarre: this takes 11x longer to run if and only if test_longexp is
run before it, on my box. The bigger REPS is in test_longexp, the
slower this gets. What happens on your box? It's not gc on my box
(which is good, because gc isn't a plausible candidate here).
The slowdown is massive in the parts of test_sort that implicitly
invoke a new-style class's __lt__ or __cmp__ methods. If I boost
REPS large enough in test_longexp, even the test_sort tests on an array
of size 64 visibly c-r-a-w-l. The relative slowdown is even worse in
a debug build. And if I reduce REPS in test_longexp, the slowdown in
test_sort goes away.
test_longexp does do horrid things to Win98's management of user
address space, but I thought I had made that a whole lot better a month
or so ago (by overallocating aggressively in the parser).
If the long is large enough, the return value will be a negative int.
In this case, calling the function a second time won't return the
original value passed in.
imports of test modules now import from the test package. Other
related oddities are also fixed (like DeprecationWarning filters that
weren't specifying the full import part, etc.). Also did a general
code cleanup to remove all "from test.test_support import *"'s. Other
from...import *'s weren't changed.
See there for a description.
Added test case.
Bugfix candidate for 2.2.x, not sure about previous versions:
probably low priority, because virtually no one runs debug builds.
imports e.g. test_support must do so using an absolute package name
such as "import test.test_support" or "from test import test_support".
This also updates the README in Lib/test, and gets rid of the
duplicate data dirctory in Lib/test/data (replaced by
Lib/email/test/data).
Now Tim and Jack can have at it. :)
array. Our samplesort special-cases the snot out of this, running about
12x faster than *sort. The experimental mergesort runs it about 8x
faster than *sort without special-casing, but should really do better
than that (when merging runs of different lengths, right now it only
does something clever about finding where the second run begins in
the first and where the first run ends in the second, and that's more
of a temp-memory optimization).
(i.e. email.test), so move the guts of them here from Lib/test. The
latter directory will retain stubs to run the email.test tests using
Python's standard regression test.
test_email_torture.py is a torture tester which will not run under
Python's test suite because I don't want to commit megs of data to
that project (it will fail cleanly there). When run under the mimelib
project it'll stress test the package with megs of message samples
collected from various locations in the wild.
version of PySlice_GetIndicesEx"):
> OK. Michael, if you want to check in indices(), go ahead.
Then I did what was needed, but didn't check it in. Here it is.
the default range to end at 2**20 (machines are much faster now).
Fixed what was quite a arguably a bug, explaining an old mystery: the
"!sort" case here contructs what *was* a quadratic-time disaster for
the old quicksort implementation. But under the current samplesort, it
always ran much faster than *sort (the random case). This never made
sense. Turns out it was because !sort was sorting an integer array,
while all the other cases sort floats; and comparing ints goes much
quicker than comparing floats in Python. After changing !sort to chew
on floats instead, it's now slower than the random sort case, which
makes more sense (but is just a few percent slower; samplesort is
massively less sensitive to "bad patterns" than quicksort).
Piers Lauder
Tim Peters
Guido van Rossum
Skip Montanaro
Jeremy Hylton
Barry Warsaw
Thomas Heller
Michael W. Hudson
Neal Norwitz
Jack Jansen
Fred Drake