
Hi, The RC1 for 0.7.1 scipy release has just been tagged. This is a bug-only release, see below for the release notes. More information can also be found on the trac website: http://projects.scipy.org/scipy/milestone/0.7.1 Please test it ! The scipy developers -- ========================= SciPy 0.7.1 Release Notes ========================= .. contents:: SciPy 0.7.1 is a bug-fix release with no new features compared to 0.7.0. scipy.signal ============ Several memory leaks in lfilter have been fixed, and the support for array object has been fixed as well. scipy.sparse ============ scipy.io ======== Some performance regressions in 0.7.0 have been fixed in 0.7.1 (#882 and #885). Windows binaries for python 2.6 =============================== python 2.6 binaries for windows are now included. Python 2.6 binaries require numpy 1.3.0 or above, other binaries require numpy 1.2.0 or above. Universal build for scipy ========================= Mac OS X binary installer is now a universal build, and does not require gfortran to be installed. The binary requires numpy 1.2.0 or above and the python found on python.org. Checksums ========= 1632c340651ad097967921dd7539f0f0 release/installers/scipy-0.7.1rc1.zip 66d18c5557014ba0a839ca3c22c0f191 release/installers/scipy-0.7.1rc1-win32-superpack-python2.5.exe 64a007f88619c2ce75d8a2a7e558b4d4 release/installers/scipy-0.7.1rc1-win32-superpack-python2.6.exe be5697925454f2b5c9da0dd092fdcd03 release/installers/scipy-0.7.1rc1.tar.gz

Matthew Brett wrote:
Hi,
The RC1 for 0.7.1 scipy release has just been tagged. This is a bug-only release
I feel (y)our pain, but don't you mean 'bug-fix only release'? ;-)
Actually, there is one big bug on python 2.6 for mac os x, so maybe the bug-only is appropriate :) cheers, David

Thu, 04 Jun 2009 19:24:32 +0900, David Cournapeau wrote: [clip]
========================= SciPy 0.7.1 Release Notes =========================
.. contents::
SciPy 0.7.1 is a bug-fix release with no new features compared to 0.7.0.
scipy.special ============= Several bugs of varying severity were fixed in the special functions: - #503, #640: iv: problems at large arguments fixed by new implementation - #623: jv: fix errors at large arguments - #679: struve: fix wrong output for v < 0 - #803: pbdv produces invalid output - #804: lqmn: fix crashes on some input - #823: betainc: fix documentation - #834: exp1 strange behavior near negative integer values - #852: jn_zeros: more accurate results for large s, also in jnp/yn/ ynp_zeros - #853: jv, yv, iv: invalid results for non-integer v < 0, complex x - #854: jv, yv, iv, kv: return nan more consistently when out-of-domain - #927: ellipj: fix segfault on Windows - ive, jve, yve, kv, kve: with real-valued input, return nan for out-of-domain instead of returning only the real part of the result. Also, when ``scipy.special.errprint(1)`` has been enabled, warning messages are now issued as Python warnings instead of printing them to stderr. *** I added this to 0.7.1-notes.rst. -- Pauli Virtanen
participants (4)
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David Cournapeau
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Matthew Brett
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Pauli Virtanen
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Stéfan van der Walt