This would explain it. result: . 3 - AWL,BAYES_50,DNS_FROM_AHBL_RHSBL,HTML_90_100,HTML_IMAGE_RATIO_02,HTML_ME SSAGE,HTML_TAG_EXIST_TBODY,MIME_HTML_ONLY,SARE_OEM_S_PRICE,SARE_SUBLRNMR scantime=1.9,size=14453,mid=<[EMAIL PROTECTED] m>,bayes=0.515278005793156,autolearn=no
Its looking for something like this.... user=<user> in the result: line. Maybe this a 3.1.x thing only?? [22289] info: spamd: result: . -2 - BAYES_00,DK_SIGNED,RCVD_BY_IP,UNPARSEABLE_RELAY scantime=1.2,size=3225,[EMAIL PROTECTED],uid=200,required_score=3.5, rhost=localhost,raddr=127.0.0.1,rport=60485,mid=<eee57c64050803112263a1e [EMAIL PROTECTED]>,bayes=2.22044604925031e-16,autolearn=ham I'd have to read the recipient from the previous line (prior to result:), and hope a race condition doesn't apply that causes multiple 'clean message' lines or multiple 'result:' lines in a row.... Its much nicer to have user= in the result: line for doing statistics per user/domain... Maybe this is something that has to wait until 3.1 .... Dallas > -----Original Message----- > From: Matthew Yette [mailto:[EMAIL PROTECTED] > Sent: Wednesday, August 03, 2005 2:21 PM > To: Dallas L. Engelken > Subject: RE: generating rule stats from spamd logs > > This enough? > > Aug 3 15:16:15 mailer-03 spamd[19788]: connection from > localhost.localdomain [127.0.0.1] at port 60266 Aug 3 > 15:16:15 mailer-03 spamd[19788]: handle_user: unable to find > user '[EMAIL PROTECTED]'! > Aug 3 15:16:15 mailer-03 spamd[19788]: checking message > (unknown) for [EMAIL PROTECTED]:511. > Aug 3 15:16:17 mailer-03 spamd[22961]: connection from > localhost.localdomain [127.0.0.1] at port 60269 Aug 3 > 15:16:17 mailer-03 spamd[22961]: handle_user: unable to find > user '[EMAIL PROTECTED]'! > Aug 3 15:16:17 mailer-03 spamd[22961]: checking message > <[EMAIL PROTECTED]> for [EMAIL PROTECTED]:511. > Aug 3 15:16:19 mailer-03 spamd[22961]: clean message (3.3/5.0) for > [EMAIL PROTECTED]:511 in 1.9 seconds, 14453 bytes. > Aug 3 15:16:19 mailer-03 spamd[22961]: result: . 3 - > AWL,BAYES_50,DNS_FROM_AHBL_RHSBL,HTML_90_100,HTML_IMAGE_RATIO_ > 02,HTML_ME > SSAGE,HTML_TAG_EXIST_TBODY,MIME_HTML_ONLY,SARE_OEM_S_PRICE,SAR > E_SUBLRNMR > scantime=1.9,size=14453,mid=<[EMAIL PROTECTED] > -dialog.co > m>,bayes=0.515278005793156,autolearn=no > Aug 3 15:16:22 mailer-03 spamd[19788]: clean message (4.6/5.0) for > [EMAIL PROTECTED]:511 in 6.8 seconds, 24341 bytes. > Aug 3 15:16:22 mailer-03 spamd[19788]: result: . 4 - > BAYES_99,FREE_SAMPLE,HTML_80_90,HTML_MESSAGE > scantime=6.8,size=24341,mid=(unknown),bayes=0.999905127653852, > autolearn= > no > > -- > Matthew Yette > Senior Engineer - NOC/Operations > MA Polce Consulting, Inc. > [EMAIL PROTECTED] > 315-838-1644 (w) > 315-356-0597 (f) > AIM/Yahoo: MAPolceNOC > MSN: [EMAIL PROTECTED] > > -----Original Message----- > From: Dallas L. Engelken [mailto:[EMAIL PROTECTED] > Sent: Wednesday, August 03, 2005 3:06 PM > To: Matthew Yette > Subject: RE: generating rule stats from spamd logs > > > Can you give me a snip of your maillog please. > > Thanks, > Dallas > > > > -----Original Message----- > > From: Matthew Yette [mailto:[EMAIL PROTECTED] > > Sent: Wednesday, August 03, 2005 12:56 PM > > To: Dallas L. Engelken > > Subject: RE: generating rule stats from spamd logs > > > > http://nospam3.mapolce.com:812/stats/sas.html > > > > That right there is the output using 0.9 - just ran it! > > > > Perl sa-stats.pl --web > sas.html > > > > 1.0 returns 0's for all #s, no rules fired... :( > > > > -- > > Matthew Yette > > Senior Engineer - NOC/Operations > > MA Polce Consulting, Inc. > > [EMAIL PROTECTED] > > 315-838-1644 (w) > > 315-356-0597 (f) > > AIM/Yahoo: MAPolceNOC > > MSN: [EMAIL PROTECTED] > > > > -----Original Message----- > > From: Dallas L. Engelken [mailto:[EMAIL PROTECTED] > > Sent: Wednesday, August 03, 2005 1:50 PM > > To: Matthew Yette > > Subject: RE: generating rule stats from spamd logs > > > > > > Thank god for SVN ;) > > > > http://www.rulesemporium.com/programs/sa-stats-0.9.txt > > > > > > > > > -----Original Message----- > > > From: Matthew Yette [mailto:[EMAIL PROTECTED] > > > Sent: Wednesday, August 03, 2005 12:49 PM > > > To: Dallas L. Engelken > > > Subject: RE: generating rule stats from spamd logs > > > > > > Odd - I used to run the prior version and it worked right > as rain. > > > Do you have the prvious version handy so that I may give > that a shot > > > > and compare side to side? Thanks > > > > > > Matt > > > > > > -- > > > Matthew Yette > > > Senior Engineer - NOC/Operations > > > MA Polce Consulting, Inc. > > > [EMAIL PROTECTED] > > > 315-838-1644 (w) > > > 315-356-0597 (f) > > > AIM/Yahoo: MAPolceNOC > > > MSN: [EMAIL PROTECTED] > > > > > > -----Original Message----- > > > From: Dallas L. Engelken [mailto:[EMAIL PROTECTED] > > > Sent: Wednesday, August 03, 2005 1:32 PM > > > To: Matthew Yette > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > Working for me.... Without -r, with -r @domain, and with -r > > > [EMAIL PROTECTED] > > > > > > ############################### > > > > > > # perl sa-stats.pl -l /var/log/spamd -f current > > > > > > Email: 29 Autolearn: 14 AvgScore: 9.86 > > > AvgScanTime: 5.18 > > > sec > > > Spam: 13 Autolearn: 10 AvgScore: 22.23 > > > AvgScanTime: 5.02 > > > sec > > > Ham: 16 Autolearn: 4 AvgScore: -0.19 > > > AvgScanTime: 5.31 > > > sec > > > > > > Time Spent Running SA: 0.04 hours > > > Time Spent Processing Spam: 0.02 hours > > > Time Spent Processing Ham: 0.02 hours > > > > > > TOP SPAM RULES FIRED > > > ------------------------------------------------------------ > > > RANK RULE NAME COUNT %OFRULES > > %OFMAIL %OFSPAM > > > %OFHAM > > > ------------------------------------------------------------ > > > 1 UNPARSEABLE_RELAY 13 5.33 > > 44.83 100.00 > > > 100.00 > > > 2 BAYES_99 11 4.51 > > 37.93 84.62 > > > 0.00 > > > 3 URIBL_BLACK 11 4.51 > > 37.93 84.62 > > > 0.00 > > > 4 URIBL_OB_SURBL 10 4.10 > > 34.48 76.92 > > > 0.00 > > > > > > > > > ############################### > > > > > > # perl sa-stats.pl -l /var/log/spamd -f current -r @nmgi.com > > > > > > > > > SPAM STATS FOR @nmgi.com > > > ------------------------------------------------------------ > > > Email: 29 Autolearn: 13 AvgScore: 8.03 > > > AvgScanTime: 5.37 > > > sec > > > Spam: 12 Autolearn: 9 AvgScore: 19.42 > > > AvgScanTime: 5.14 > > > sec > > > Ham: 17 Autolearn: 4 AvgScore: 0.00 > > > AvgScanTime: 5.53 > > > sec > > > > > > Time Spent Running SA: 0.04 hours > > > Time Spent Processing Spam: 0.02 hours > > > Time Spent Processing Ham: 0.03 hours > > > > > > TOP SPAM RULES FIRED FOR @nmgi.com > > > ------------------------------------------------------------ > > > RANK RULE NAME COUNT %OFRULES > > %OFMAIL %OFSPAM > > > %OFHAM > > > ------------------------------------------------------------ > > > 1 UNPARSEABLE_RELAY 12 5.80 > > 41.38 100.00 > > > 100.00 > > > 2 BAYES_99 10 4.83 > > 34.48 83.33 > > > 0.00 > > > 3 URIBL_BLACK 10 4.83 > > 34.48 83.33 > > > 0.00 > > > 4 URIBL_OB_SURBL 9 4.35 > > 31.03 75.00 > > > 0.00 > > > > > > > > > ############################### > > > > > > # perl sa-stats.pl -l /var/log/spamd -f current -r > [EMAIL PROTECTED] > > > > > > > > > SPAM STATS FOR [EMAIL PROTECTED] > > > ------------------------------------------------------------ > > > Email: 4 Autolearn: 3 AvgScore: 9.25 > > > AvgScanTime: 4.65 > > > sec > > > Spam: 2 Autolearn: 1 AvgScore: 20.50 > > > AvgScanTime: 6.30 > > > sec > > > Ham: 2 Autolearn: 2 AvgScore: -2.00 > > > AvgScanTime: 3.00 > > > sec > > > > > > Time Spent Running SA: 0.01 hours > > > Time Spent Processing Spam: 0.00 hours > > > Time Spent Processing Ham: 0.00 hours > > > > > > TOP SPAM RULES FIRED FOR [EMAIL PROTECTED] > > > ------------------------------------------------------------ > > > RANK RULE NAME COUNT %OFRULES > > %OFMAIL %OFSPAM > > > %OFHAM > > > ------------------------------------------------------------ > > > 1 NO_REAL_NAME 2 5.00 > > 50.00 100.00 > > > 0.00 > > > 2 DCC_CHECK 2 5.00 > > 50.00 100.00 > > > 0.00 > > > 3 UNPARSEABLE_RELAY 2 5.00 > > 50.00 100.00 > > > 100.00 > > > 4 MISSING_HEADERS 2 5.00 > > 50.00 100.00 > > > 0.00 > > > > > > ############################### > > > > > > > > > > -----Original Message----- > > > > From: Matthew Yette [mailto:[EMAIL PROTECTED] > > > > Sent: Wednesday, August 03, 2005 12:31 PM > > > > To: Dallas L. Engelken > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > First thought: this is AWESOME!!! Thank you so much! > > > > > > > > Second thought: It generates all 0s :( first time > > runthrough too ~5 > > > > minutes, but 0 scores on all stats, domain-filtering or > not. The > > > > old script ran alright... > > > > > > > > Thank you so much for the progress, though! Any thoughts? > > > > > > > > Matt > > > > > > > > -- > > > > Matthew Yette > > > > Senior Engineer - NOC/Operations > > > > MA Polce Consulting, Inc. > > > > [EMAIL PROTECTED] > > > > 315-838-1644 (w) > > > > 315-356-0597 (f) > > > > AIM/Yahoo: MAPolceNOC > > > > MSN: [EMAIL PROTECTED] > > > > > > > > -----Original Message----- > > > > From: Dallas L. Engelken [mailto:[EMAIL PROTECTED] > > > > Sent: Wednesday, August 03, 2005 1:11 PM > > > > To: users@spamassassin.apache.org > > > > Cc: Matthew Yette > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > > > > v1.0 now has per-user and per-domain support > > > > http://www.rulesemporium.com/programs/sa-stats.txt > > > > > > > > # Per User and Per Domain Statistics... > > > > # ---------------------------------------------- > > > > # > > > > # ./sa-stats.pl -r postmaster > > > > # - this would give all stats for postmaster users, > > > > # regardless of which domain it was for. handy if you > > > > # have alot of domain aliases > > > > # > > > > # ./sa-stats.pl -r @domain > > > > # - this would give all stats for the domain specified. > > > > # make sure you include the '@' sign before the > > > > # domain or the script will assume you wanted a user > > > > # name instead. > > > > # > > > > # ./sa-stats.pl -r [EMAIL PROTECTED] > > > > # - this would give all stats for a specific email address. > > > > # this assumes you pass 'spamc -u <fullemail>' vs. > > > > # 'spamc -u <userpart>'. If you do the latter, you simply > > > > # want to call -r <userpart> instead. > > > > # > > > > # ---------------------------------------------- > > > > > > > > > > > > I would have to incorporate Time::Local, Date::Manip, and > > > > Parse::Syslog into it to be able to do date start and > stop times, > > > > and at this point I > > > > really don't want to ;) Besides, I store my logs in tai64 > > > format, so > > > > it wouldn't help me at all. > > > > > > > > If someone else wants to code Parse::Syslog support > into it, be my > > > > > guest.. Or port some of this code into the sa-stats that > > > provided in > > > > the distro, have at it.. > > > > > > > > Dallas > > > > > > > > > > > > > > > > > > > > > -----Original Message----- > > > > > From: Matthew Yette [mailto:[EMAIL PROTECTED] > > > > > Sent: Wednesday, August 03, 2005 11:05 AM > > > > > To: users@spamassassin.apache.org > > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > > > > > > > No one has any thoughts on this? It's not a quick fix? :( > > > > > -- > > > > > Matthew Yette > > > > > Senior Engineer - NOC/Operations > > > > > MA Polce Consulting, Inc. > > > > > [EMAIL PROTECTED] > > > > > 315-838-1644 (w) > > > > > 315-356-0597 (f) > > > > > AIM/Yahoo: MAPolceNOC > > > > > MSN: [EMAIL PROTECTED] > > > > > > > > > > -----Original Message----- > > > > > From: Matthew Yette > > > > > Sent: Friday, July 29, 2005 8:24 AM > > > > > To: users@spamassassin.apache.org > > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > > > > > > > I'd be able to code it in myself but I'm not fluent in perl > > > > (PHP guy) > > > > > and of course, the string parsing functions confuse the > > > hell out of > > > > > me. LOL. Thought that there might be a lot of perl > > coders here who > > > > > > > can make this a snap. [Recipient-domain-based filtering & date > > > > > range also] > > > > > > > > > > Thanks so much! > > > > > > > > > > -- > > > > > Matthew Yette > > > > > Senior Engineer - NOC/Operations > > > > > MA Polce Consulting, Inc. > > > > > [EMAIL PROTECTED] > > > > > 315-838-1644 (w) > > > > > 315-356-0597 (f) > > > > > AIM/Yahoo: MAPolceNOC > > > > > MSN: [EMAIL PROTECTED] > > > > > > > > > > -----Original Message----- > > > > > From: Matthew Yette > > > > > Sent: Thursday, July 28, 2005 12:07 PM > > > > > To: users@spamassassin.apache.org > > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > > > > > > > Is there any way to modify this code to accept another > > > command-line > > > > > argument for domain-specific? Meaning, I want to look for > > > all rule > > > > > hits for mail destined for domain.com? > > > > > > > > > > -- > > > > > Matthew Yette > > > > > Senior Engineer - NOC/Operations > > > > > MA Polce Consulting, Inc. > > > > > [EMAIL PROTECTED] > > > > > 315-838-1644 (w) > > > > > 315-356-0597 (f) > > > > > AIM/Yahoo: MAPolceNOC > > > > > MSN: [EMAIL PROTECTED] > > > > > > > > > > -----Original Message----- > > > > > From: Dallas L. Engelken [mailto:[EMAIL PROTECTED] > > > > > Sent: Wednesday, July 27, 2005 1:02 PM > > > > > To: users@spamassassin.apache.org > > > > > Subject: RE: generating rule stats from spamd logs > > > > > > > > > > > > > > > My mistake.. It is fixed, hopefully for good. > > > > > v0.9 - http://www.rulesemporium.com/programs/sa-stats.txt > > > > > > > > > > > > > > > TOP SPAM RULES FIRED > > > > > ------------------------------------------------------------ > > > > > RANK RULE NAME COUNT %OFRULES > > > > %OFMAIL %OFSPAM > > > > > %OFHAM > > > > > ------------------------------------------------------------ > > > > > 1 UNPARSEABLE_RELAY 25322 7.35 > > > > 74.72 99.76 > > > > > 99.13 > > > > > 2 URIBL_SBL 22241 6.46 > > > > 65.63 87.63 > > > > > 0.38 > > > > > 3 URIBL_JP_SURBL 21419 6.22 > > > > 63.20 84.39 > > > > > 0.28 > > > > > 4 URIBL_BLACK 19436 5.64 > > > > 57.35 76.57 > > > > > 0.93 > > > > > 5 RAZOR2_CF_RANGE_51_100 17562 5.10 > > > > 51.82 69.19 > > > > > 1.34 > > > > > 6 RAZOR2_CHECK 17475 5.07 > > > > 51.57 68.85 > > > > > 1.15 > > > > > 7 SARE_SPEC_ROLEX_REP 16553 4.81 > > > > 48.84 65.22 > > > > > 0.29 > > > > > 8 SPOOF_COM2OTH 16537 4.80 > > > > 48.80 65.15 > > > > > 0.05 > > > > > 9 RAZOR2_CF_RANGE_E8_51_100 16329 4.74 > > > > 48.18 64.33 > > > > > 0.16 > > > > > 10 BAYES_99 15380 4.47 > > > > 45.38 60.59 > > > > > 0.28 > > > > > ------------------------------------------------------------ > > > > > > > > > > TOP HAM RULES FIRED > > > > > ------------------------------------------------------------ > > > > > RANK RULE NAME COUNT %OFRULES > > > > %OFMAIL %OFSPAM > > > > > %OFHAM > > > > > ------------------------------------------------------------ > > > > > 1 UNPARSEABLE_RELAY 8433 18.93 > > > > 24.88 99.76 > > > > > 99.13 > > > > > 2 BAYES_00 7005 15.72 > > > > 20.67 0.74 > > > > > 82.34 > > > > > 3 AWL 4904 11.01 > > > > 14.47 26.64 > > > > > 57.65 > > > > > 4 HTML_MESSAGE 3813 8.56 > > > > 11.25 22.92 > > > > > 44.82 > > > > > 5 NO_REAL_NAME 1453 3.26 > > > > 4.29 37.79 > > > > > 17.08 > > > > > 6 HTML_80_90 1279 2.87 > > > > 3.77 10.98 > > > > > 15.03 > > > > > 7 MIME_HTML_ONLY 972 2.18 > > > > 2.87 6.88 > > > > > 11.43 > > > > > 8 HTML_FONT_BIG 794 1.78 > > > > 2.34 9.28 > > > > > 9.33 > > > > > 9 BAYES_50 625 1.40 > > > > 1.84 25.40 > > > > > 7.35 > > > > > 10 HTML_FONT_FACE_BAD 545 1.22 > > > > 1.61 0.76 > > > > > 6.41 > > > > > ------------------------------------------------------------ > > > > > > > > > > > > > > > > > > > > > > > > > ________________________________ > > > > > > > > > > From: Steve Martin [mailto:[EMAIL PROTECTED] > > > > > Sent: Wednesday, July 27, 2005 11:44 AM > > > > > To: Andy Jezierski > > > > > Cc: Dallas L. Engelken; users@spamassassin.apache.org > > > > > Subject: Re: generating rule stats from spamd logs > > > > > > > > > > > > > > > He only fixed the spam rules section. > > > > > > > > > > The TOP HAM RULES sections still has these two > > incorrect > > > > > computations... > > > > > > > > > > my > > $perc2=sprintf("%.2f",($HAM_RULES{$key}/$NUM_SPAM)*100); > > > > > my > > $perc3=sprintf("%.2f",($SPAM_RULES{$key}/$NUM_HAM)*100); > > > > > > > > > > > > > > > Number of times a rule fired on ham / total > > number of spam > > > > messages. > > > > > Number of times a rule fired on spam / total > > number of ham > > > > > messages. > > > > > > > > > > my > > $perc2=sprintf("%.2f",($SPAM_RULES{$key}/$NUM_SPAM)*100); > > > > > my > > $perc3=sprintf("%.2f",($HAM_RULES{$key}/$NUM_HAM)*100); > > > > > > > > > > On Jul 27, 2005, at 11:32 AM, Andy Jezierski wrote: > > > > > > > > > > > > > > > > > > > > "Dallas L. Engelken" <[EMAIL PROTECTED]> wrote on > > > 07/27/2005 > > > > > 11:26:54 AM: > > > > > > > > > > > > -----Original Message----- > > > > > > > From: Chris Thielen > > > > [mailto:[EMAIL PROTECTED] > > > > > > > Sent: Wednesday, July 27, 2005 11:02 AM > > > > > > > To: Dallas L. Engelken > > > > > > > Cc: users@spamassassin.apache.org > > > > > > > Subject: Re: generating rule stats > > from spamd logs > > > > > > > > > > > > > > Dallas L. Engelken wrote: > > > > > > > > > > > > > > >BAYES_00 hits 15.27 of spam on > > yours, the %ofspam > > on top > > > > > ham > > > > > > > rules and > > > > > > > >%ofham on top spam rules must be buggy. > > > > > > > > > > > > > > > >i'm not running that version with > > the 5th column. > > It must > > > > > be buggy. > > > > > > > >i play with it after bit. > > > > > > > > > > > > > > > >Dallas > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Dallas, > > > > > > > > > > > > > > Did you see the patch I sent to the > > SARE list? Just > > > need to > > > > > > > swap two hash lookups. > > > > > > > > > > > > > > > > > > > > > > > > > > Yup yup. > > http://www.rulesemporium.com/programs/sa-stats.txt > > > > > updated. > > > > > > > > > > > > D > > > > > > > > > > > > > > > Something's still a little fishy. SA > > 3.1 latest SVN, if > > > it makes > > > > > any difference. > > > > > > > > > > > > > > > > > > > > python# ./sa-stats -f maillog.0 -n 5 > > > > > Email: 6111 Autolearn: 226 > > AvgScore: 2.15 > > > > > AvgScanTime: 3.91 sec > > > > > Spam: 655 Autolearn: 133 > > AvgScore: 14.81 > > > > > AvgScanTime: 3.76 sec > > > > > Ham: 5456 Autolearn: 93 > > AvgScore: 0.63 > > > > > AvgScanTime: 3.93 sec > > > > > > > > > > Time Spent Running SA: 6.64 hours > > > > > Time Spent Processing Spam: 0.68 hours > > > > > Time Spent Processing Ham: 5.96 hours > > > > > > > > > > TOP SPAM RULES FIRED > > > > > > > > > > ------------------------------------------------------------ > > > > > RANK RULE NAME > > COUNT %OFRULES > > > > > %OFMAIL %OFSPAM %OFHAM > > > > > > > > > > ------------------------------------------------------------ > > > > > 1 HTML_MESSAGE > > 496 5.67 > > > > > 8.12 75.73 62.19 > > > > > 2 DCC_CHECK > > 310 3.55 > > > > > 5.07 47.33 7.02 > > > > > 3 BAYES_99 > > 305 3.49 > > > > > 4.99 46.56 0.02 > > > > > 4 RAZOR2_CHECK > > 277 3.17 > > > > > 4.53 42.29 4.23 > > > > > 5 DIGEST_MULTIPLE > > 251 2.87 > > > > > 4.11 38.32 2.42 > > > > > > > > > > ------------------------------------------------------------ > > > > > > > > > > TOP HAM RULES FIRED > > > > > > > > > > ------------------------------------------------------------ > > > > > RANK RULE NAME > > COUNT %OFRULES > > > > > %OFMAIL %OFSPAM %OFHAM > > > > > > > > > > ------------------------------------------------------------ > > > > > 1 BAYES_00 > > 4079 14.05 > > > > > 66.75 622.75 1.83 > > > > > 2 HTML_MESSAGE > > 3393 11.68 > > > > > 55.52 518.02 9.09 > > > > > 3 NO_REAL_NAME > > 1053 3.63 > > > > > 17.23 160.76 1.06 > > > > > 4 HTML_80_90 > > 931 3.21 > > > > > 15.23 142.14 2.35 > > > > > 5 LG_4C_2V_3C > > 798 2.75 > > > > > 13.06 121.83 2.20 > > > > > > > > > > ------------------------------------------------------------ > > > > > > > > > > > > > > > > > > > > > > > > > -- > > > > > > > > > > Steve Martin > > > > > http://www.cheezmo.com/ > > > > > > > > > > Smart Calibration, LLC http://www.smartcalibration.com/ > > > > > > > > > > The Widescreen Movie Center > > > > > http://www.widemovies.com/ > > > > > > > > > > Letterboxed Movie TV Schedule > > http://www.widemovies.com/lbx.html > > > > > > > > > > > > > > > > > > > > > > > > >
