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).
from test.test_support import TestSkipped, run_unittest
to
from test_support import TestSkipped, run_unittest
Otherwise, if the Japanese codecs aren't installed, regrtest doesn't
believe the TestSkipped exception raised by this test matches the
except (ImportError, test_support.TestSkipped), msg:
it's looking for, and reports the skip as a crash failure instead of
as a skipped test.
I suppose this will make it harder to run this test outside of
regrtest, but under the assumption only Barry does that, better to
make it skip cleanly for everyone else.
(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.
(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.
email/test/data is a copy of Lib/test/data. The fate of the latter is
still undecided.
backwards compatibility, we're silently deprecating get_type(),
get_subtype() and get_main_type(). We may eventually noisily
deprecate these. For now, we'll just fix a bug in the splitting of
the main and subtypes.
get_content_type(), get_content_maintype(), get_content_subtype(): New
methods which replace the above. These /always/ return a content type
string and do not take a failobj, because an email message always at
least has a default content type.
set_default_type(): Someday there may be additional default content
types, so don't hard code an assertion about the value of the ctype
argument.
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.
quoting:
in non-strict mode, messages don't require a blank line at the end
with a missing end-terminator. A single newline is sufficient now.
Handle trailing whitespace at the end of a boundary. Had to switch
from using string.split() to re.split()
Handle whitespace on the end of a parameter list for Content-type.
Handle whitespace on the end of a plain content-type header.
Specifically,
get_type(): Strip the content type string.
_get_params_preserve(): Strip the parameter names and values on both
sides.
_parsebody(): Lots of changes as described above, with some stylistic
changes by Barry (who hopefully didn't screw things up ;).
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).
