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author | Kubilay Kocak <koobs@FreeBSD.org> | 2016-02-25 12:18:06 +0000 |
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committer | Kubilay Kocak <koobs@FreeBSD.org> | 2016-02-25 12:18:06 +0000 |
commit | d9e43cc0c29b9872a9df4666a431da9f42773dbc (patch) | |
tree | 50b0537767c2d5d587bfeaeb6ded08882b2607b1 /mail/py-spambayes | |
parent | 9a77af3bc3f8e76350fe4efaae7e26e16d3360c5 (diff) | |
download | ports-d9e43cc0c29b9872a9df4666a431da9f42773dbc.tar.gz ports-d9e43cc0c29b9872a9df4666a431da9f42773dbc.zip |
Notes
Diffstat (limited to 'mail/py-spambayes')
-rw-r--r-- | mail/py-spambayes/Makefile | 19 | ||||
-rw-r--r-- | mail/py-spambayes/distinfo | 4 | ||||
-rw-r--r-- | mail/py-spambayes/files/patch-spambayes_Dibbler.py | 6 | ||||
-rw-r--r-- | mail/py-spambayes/pkg-descr | 22 |
4 files changed, 16 insertions, 35 deletions
diff --git a/mail/py-spambayes/Makefile b/mail/py-spambayes/Makefile index 6e46b7b177ee..f291eec87d28 100644 --- a/mail/py-spambayes/Makefile +++ b/mail/py-spambayes/Makefile @@ -2,8 +2,7 @@ # $FreeBSD$ PORTNAME= spambayes -PORTVERSION= 1.1b1 -PORTREVISION= 1 +PORTVERSION= 1.1b2 CATEGORIES= mail python MASTER_SITES= CHEESESHOP PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} @@ -17,12 +16,14 @@ RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}bsddb>0:${PORTSDIR}/databases/py-bsddb \ ${PYTHON_PKGNAMEPREFIX}dns>=2.0:${PORTSDIR}/dns/py-dns \ ${PYTHON_PKGNAMEPREFIX}lockfile>=0.2:${PORTSDIR}/devel/py-lockfile -USES= python:2 +USES= python:-2.7 USE_PYTHON= distutils autoplist -NO_ARCH= yes - USE_RC_SUBR= pyspamd +OPTIONS_DEFINE= DOCS + +NO_ARCH= yes + LOCALSTATDIR?= /var/db/spambayes DBDIR?= ${LOCALSTATDIR}/dbs CACHEDIR?= ${LOCALSTATDIR}/cache @@ -44,18 +45,10 @@ PORTDOCS= CHANGELOG.txt \ utilities/ \ contrib/ -OPTIONS_DEFINE= DOCS - post-extract: @${CHMOD} -Rf u+w ${WRKSRC} post-patch: - @${FIND} ${WRKSRC} -type f | \ - ${XARGS} -n 10 -x \ - ${REINPLACE_CMD} -E \ - -e 's|/usr/bin/env python|${PYTHONBASE}/bin/${PYTHON_VERSION}|' - @${FIND} ${WRKSRC}/utilities ${WRKSRC}/contrib ${WRKSRC}/spambayes\ - -type f -name *.bak | ${XARGS} ${RM} @${REINPLACE_CMD} -e \ '/persistent_storage_file/s|hammie.db|${DBDIR}/hammie.db|' \ -e \ diff --git a/mail/py-spambayes/distinfo b/mail/py-spambayes/distinfo index 8ff0de75b722..c0dd13856454 100644 --- a/mail/py-spambayes/distinfo +++ b/mail/py-spambayes/distinfo @@ -1,2 +1,2 @@ -SHA256 (spambayes-1.1b1.tar.gz) = 4dc4aef5b0b3c3a02d8d36391d3ebde6ab3078e4aa39f0611b226f03993c9c36 -SIZE (spambayes-1.1b1.tar.gz) = 1015721 +SHA256 (spambayes-1.1b2.tar.gz) = 8d186d1e7a67de88941f27e0cfcfb4e88fffd7706f51e9181a5bcdaa1b6f8294 +SIZE (spambayes-1.1b2.tar.gz) = 1001993 diff --git a/mail/py-spambayes/files/patch-spambayes_Dibbler.py b/mail/py-spambayes/files/patch-spambayes_Dibbler.py index a2ab6a17175d..6c8781d4ece1 100644 --- a/mail/py-spambayes/files/patch-spambayes_Dibbler.py +++ b/mail/py-spambayes/files/patch-spambayes_Dibbler.py @@ -1,6 +1,6 @@ ---- spambayes/Dibbler.py~ 2009-07-10 21:43:59.000000000 +0200 -+++ spambayes/Dibbler.py 2009-07-10 21:44:37.655326444 +0200 -@@ -218,7 +218,7 @@ +--- spambayes/Dibbler.py.orig 2013-02-06 11:28:18 UTC ++++ spambayes/Dibbler.py +@@ -215,7 +215,7 @@ class BrighterAsyncChat(asynchat.async_c # self.initiate_send() raises an exception, causing self.close() # to be called. If we didn't check, we could end up in an infinite # loop. diff --git a/mail/py-spambayes/pkg-descr b/mail/py-spambayes/pkg-descr index 2495c793cc1d..e67689dd5358 100644 --- a/mail/py-spambayes/pkg-descr +++ b/mail/py-spambayes/pkg-descr @@ -1,19 +1,7 @@ -[ excerpt with modifications from developer's site ] - -The SpamBayes project is working on developing a Bayesian anti-spam -filter. - -SpamBayes will attempt to classify incoming email messages as 'spam', -'ham' (good, non-spam email) or 'unsure'. This means you can have -spam or unsure messages automatically filed away in a different -mail folder, where it won't interrupt your email reading. - -First, SpamBayes must be trained by each user to identify spam and -ham. Essentially, you show SpamBayes a pile of email that you like -(ham) and a pile you don't like (spam). SpamBayes will then analyze -the piles for clues as to what makes the spam and ham different. -For example; different words, differences in the mailer headers and -content style. The system then uses these clues to examine new -messages. +SpamBayes is a tool used to segregate unwanted mail (spam) from the mail you +want (ham). Before SpamBayes can be your spam filter of choice you need to +train it on representative samples of email you receive. After it's been +trained, you use SpamBayes to classify new mail according to its spamminess +and hamminess qualities. WWW: http://spambayes.sourceforge.net/ |