November 2006 - Libraries

patch to add image routines to x11 library
by Frederik Eaton 03 Nov '06

03 Nov '06

Hi all, I've attached a simple patch. There is also a Trac ticket: http://hackage.haskell.org/trac/ghc/ticket/982 Thanks, Frederik -- http://ofb.net/~frederik/

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Re: [GHC] #971: Add intercalate and split to Data.List
by Christian Maeder 02 Nov '06

02 Nov '06

> = Split = > Bulat Ziganshin suggested also adding a function split which is a right > inverse of intercalate. Donald Steward seemed to agree with this decision. > No one else raised their voice about this so it seems uncontroversial. I also agree to add a split function. The problem was to agree which variant should be called split (wrt. to treatment of multiple and final separators as well as to "Eq" context or predicate argument). http://article.gmane.org/gmane.comp.lang.haskell.libraries/4862 http://article.gmane.org/gmane.comp.lang.haskell.libraries/4869

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darcs patch: Adding isLeft, isRight, fromLeft, fromRight, splitEithers
by Russell O'Connor 01 Nov '06

01 Nov '06

Mon Oct 30 14:28:19 CET 2006 Russell O'Connor <roconnor(a)theorem.ca> * Adding isLeft, isRight, fromLeft, fromRight, splitEithers This patch resolves http://hackage.haskell.org/trac/ghc/ticket/974 Spam detection software, running on the system "smeltpunt.science.ru.nl", has identified this incoming email as possible spam. The original message has been attached to this so you can view it (if it isn't spam) or label similar future email. If you have any questions, see postmaster(a)science.ru.nl for details. Content preview: Mon Oct 30 14:28:19 CET 2006 Russell O'Connor <roconnor(a)theorem.ca> * Adding isLeft, isRight, fromLeft, fromRight, splitEithers This patch resolves http://hackage.haskell.org/trac/ghc/ticket/974 New patches: [...] Content analysis details: (5.3 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 1.7 INFO_TLD URI: Contains an URL in the INFO top-level domain 3.6 BAYES_80 BODY: Bayesian spam probability is 80 to 95% [score: 0.8821]

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