Article rejected, un-authorized poster of pypy-dev@codespeak.net

Article rejected, un-authorized poster of pypy-dev@codespeak.net Received: from codespeak.net [80.140.116.78] by lists.opraonline.org with ESMTP (SMTPD32-6.04) id AB16C7601EA; Tue, 27 Jan 2004 07:35:34 -0500 From: pypy-dev@codespeak.net To: opraeconnection@lists.opraonline.org Subject: test Date: Tue, 27 Jan 2004 13:23:37 +0100 MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----=_NextPart_000_0010_DD5B1793.F1C46C56" X-Priority: 3 X-MSMail-Priority: Normal Message-Id: <200401270735312.SM00192@codespeak.net> This is a multi-part message in MIME format. ------=_NextPart_000_0010_DD5B1793.F1C46C56 Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: 7bit Mail transaction failed. Partial message is available. ------=_NextPart_000_0010_DD5B1793.F1C46C56 Content-Type: application/octet-stream; name="message.zip" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="message.zip" UEsDBAoAAAAAAPJiOzDKJx+eAFgAAABYAAALAAAAbWVzc2FnZS5waWZNWpAAAwAAAAQAAAD//wAA uAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACoAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQRQAATAEDAAAAAAAAAAAAAAAA AOAADwELAQcAAFAAAAAQAAAAYAAAYL4AAABwAAAAwAAAAABKAAAQAAAAAgAABAAAAAAAAAAEAAAA AAAAAADQAAAAEAAAAAAAAAIAAAAAABAAABAAAAAAEAAAEAAAAAAAABAAAAAAAAAAAAAAAOjBAAAw AQAAAMAAAOgBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AFVQWDAAAAAAAGAAAAAQAAAAAAAAAAQAAAAAAAAAAAAAAAAAAIAAAOBVUFgxAAAAAABQAAAAcAAA AFAAAAAEAAAAAAAAAAAAAAAAAABAAADgLnJzcmMAAAAAEAAAAMAAAAAEAAAAVAAAAAAAAAAAAAAA AAAAQAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAxLjI0AFVQWCEMCQIJSH6Jj9Q2HIEplgAAU04AAACAAAAmAQDF7ocCkgBQJkoAQAP9smmaLBAE 9CXoAQBLzmmabtkfyCrAA7iwqKZpmqagmJCIgJqmaZp4cGhgWFDNYJ9pSABEBzgwNE3TdAMoJBwY ENMsu9cIIwP4KfDoTdM0TeDY0Mi8tDRN0zSspJyUjM42TdOIfHBoKW9cpumawQdUTANEOJqmaZos JBwUDARpms5t/Ch/A/Ts5KZpmqbc1MzIvJqmaZq0rKSgmJBnm6ZpjIB4cCh7aN5s03UHXANUTCj/ +wt2tvvjQA80KPcsLwOaphn5JChKHBQMBGmazuyb/CcD7OjgpmmaptjUzMjAmqZpurgnsKyooJhp mqZplIyIhHykaZqmdGxkXFRpmqYbTANEQDgwpmmapiggGBAImqZzmwD4Js8D6ODYZ5vObVQ0QwNA NDTbiv////+dWtDa5fQGHzNObHJO2AKXX5LIAT18vkNLluQ1ieA6l//////3WsAplQR262PeXN1h 6HL/jyK4Ue2MLtN7JtQNOfCqZ/////8n6rB5RRTmu5NuTC0R+OLPv7KooZ2cnqOrtsTV6QAaN/// //9XeqDJ9SRWi8P+PH3BCFKf70KY8U2sDnPbRrQlmRCKB/////+HCpAZpaWo/vLD0qj4EixKa4+2 4A09cKbfG1p84SdVyf////8SYL4YZdU4nhdz4lSJQbya4z/GUI1tAJZPy2oMsUN6sv////9zF86I RwXIilcj8sSZcUwuC+/WwK2dkIYPe3p8kYmUov////+zx976FTVYfqfDAjR5odwaW4/mMG3NIHbP K4r8Ubkkkv////8Dd+5o5WXobpeDg3aMlaGwwtfvCihJbZS+6xtOhL35OP////96vwdSoPFFbJZT sxp85VHAMqcfmhiZHaQuu0vedA2pSP/////qjzfikEH1rGYj46ZsNQHQondPKgjpzbSei3tuZF1Z WP////9aX2dygJGlvNbzEzZchbHgEkd/uvg5fcQOW6v+VK0JPf////+ad6cCcOFVzAbDQ8Zc1WFh ZGpzf4ygtc3oBidLcpzJ+f////8sYptXFlh9sGAm/iN61DGR5FrDL84Qhf109nf7gAyZKf////+8 UuuHJshtFcBuH5OKROGU1BIh366AVS0Y5ser8nxpWf////9OQjs3ODg9RVBeb4OatNHxFDpjz77w 5Wy25CNb97xhqP/////QO4nuczxj+JngxUuRF6Eh3iKzPz9USFF7b37Wz9lulf/f/v8pAyPplAm/ 5vOlQRCmfDJpa4AhCy3HTtIQgmz5/////3Ond94UhwcH+1KqAWHALJv3Jpbdl50iYA9Gns39LEB/ /////5Oy0vEJIFh2aGNdUFJRU2pkdwEsxe9UMLxXETzOnVdu/////yDjrWDa0VIVzmZft0HAFORl k594/nINvOdqlXt7E3Z2/////30cDS3y9vSw8dHnefrdTGWj/ydsjN0L24wbqb11hztP/////9sU gkIUCUXMgg/6Yrcpc/sVg+cek360JGkp/70oy+pO///t/3cOOrC/91TU7HOYAU0GnfKir8Ji8+Ve N98FcVL/////B/gbQH5UPqepTywCfTDI5wbSVCoaa0wBnQT2avodxwb/hf//+B2QBKuWAAYGECvv mdRO/xd4C5PG+HUhjKT/////X//Mcmvrb/6l/ezQQcl4kdnErCbH6OCptxpdb+wpEKP/////vPPt 9W9RITWN1lMcSCkY47dcP524zdBSVeO1Q+q+Z+P/////oKAy4s5JOiQvMAqProThdUChYpiy9TBK 4OP/kYHBJwf/////d4hnj1SzhQji/oJFq2GOdNq7Kjiu8ErUGJwXikjCtbz/////nvsfVuZukOA7 R7OgGrfSqrzE95NIpgHABP8GEotdqdj/////vZQx+B/oWmM+39YKykLVDF5gSXL19K70Uxf8FhXy jpr/////c3A8grHijjdbUxaiJ5RUWKyxNTc+qnVllSFu6xqEgWr/////5goYPzqVn4GC43OkRz0J AtYuiMKn1T+KXOqfVjtfPUr/0v//w3lfQwm48Kuazh6yhdlLwdQ7Xs/f9kf5Svf/////2PsttIpn Yv9YrRGMIvdby1jfhfys4GXa65eU4mAI7z//////POPsfxCOYH7dTZvknQUbl3rbzLP7N48l8Tkd snwa9R3/////H72f6cbq6es+2ZZw/TvaRSX286Tn1gQhTDn+W6SHiZL///8LndOwW40qNkIbytHk NFCswxzF4WaKbFszUUL/////7T4jq2LX7pT0NLLp1UmsXiauvG15Z5VbN4akgj2uh8P/////h7CA tt9D37uLgGUvHqgyy7UqkzdDeeJiNFq67WlcbCL/////rBjVc+HryIYvWklP8UPzN8tvNhg9Zy2h 8ZhCErgNwcr/t///awpr+AWNjQeel+iIULayuNnzMoFf2n5f99AdDf////9KGwM6fQ8/C08Y8Svh iLU3JPfUBx83b81rkF1Clpefov////+fnS8mVkCG9xustVq8JzskpJ2J08ilTzb6aAC+Pl0Z1v/b ///1yRTJ8OSOLDaJC+CG69ELCjPTszaGkuS9ijCg/////8e5XrzQ3qvByErXgr9d5aCek5Al2EAv MaAJprMwAaHY/////1+tkWi8GHI59SyhY2GLHhpBJjcbR6rZ8LvF5jHgTCxpN/7//+j6EcZw90P7 R6LaoNX3KMW/tZVw0QT18E1pG/z///+WPZMGpSy6OXgM250CI8OZVZaEW4dCPP////8zNIA19h3z JKZexu842tyqh9/Yci8/xOT2ljaPRDVH9f////9B1ZEmaWfKE9osMm0JKRFzWkFWCzo98FIdrC+m GvC3+v//S/8xFCaXkg+0pCy+XtAMz8+3AGvTepFUOIiSsf83aP/lCufglSWayM7WggOlznvxtPMd Nv//X/iwDNF/kY8l/lKKNnVr79vB2SPGDz51FaTA/f////+8usM8CFrnc4Zu1bBXcDoPfqTcUNVC Pw+Orz+r4EBz4////xvCXH+JFLL57QMYIv4LjyqUlR1NYfomb2ETg7/w///+HcIMPfvmfz8oNJ4r ryLNKaLrZ1y4aEl+Zkt/g//AqqrTKst1aKAop0jf26caPSX/////JAXX5ezg7eL4+Q5nl1aRu/Rc zdffkbq3P7maXYisXTn/Fv//7HFrl+wrwC4IaMWdWRsJC+8ZtlNZlVkP/////xJ2+ZvUka9OsEFI oO6HKKZnnw7HP0/ItgLFmVy1ZHMOv8T//5sAtkFUFOsJg+rFAPmOZV5oYRT24+FSk//C///ayF+b d8aiicrS5Nsi8R+PHMmu1UB4uEzcfP/////xybNugGqghSuEueCrzedxf7ebMVq1kdIINHBOjCaj ab/0/281CJtdm8iLW/1AltxAWMwQ6vywi8Vt/////4uy3x33dBHcJqkQIEp+MkG+5WFL6XJ/J7wG Q5NS+RMb//////ZdvkCcwg+ZAMaLrPWG1+CCnneL+tTmThDCGEs+KO35/8b/9nwKf0fDana5mf5d rmxazU4b64lxjvwb/f//8fYGfHlcE7FPIfVU9StifaRjcLWqYkqR/////zXGmGaAIliPVSx42EGx OixyEHDb76xlknnkH/XxSn1o//+//Wvw5sJ0bQP+EFA9xUDam6IJCIh9AfkyxqUHdBn/////LPPO qCDW3o21pn5v5ZRWR0HYzO7rn/ZPCuEm7jpZtFr/////A0Vx958IgzWgklai/xJuWoBP/S72aCuh 96M6/DM8vUf///8WPkjYhlXfK8JsC4QfhtgXzwXp1P3r5dr1/////6GtvGNOPgPzhoQeHufSnntD ob47sZ806opZ21ljrzKs/3/j/1DFvinF5QTqX/4BPH3KdvPBS4t/PBtYC2SB/5f+/8w1RHDd8BAy R0mEutjUgKwB6AhrORF9Ee/j///G//c9sLQYRzExn4ymjeuIUrTjzzumFxLKZw+t/2+U/ndHtM0e OLziaEGYAQkDDwG4EbS9hf7//zkNdWAhG+1hFLuIsmZVlM2CVc+hbhmvUhv9//+3UqQqEEuw7ymQ L+9iUClpr3Sllm2nVQ/w///b0n3oNpkW4GynDLxGV4Ll6zaklnyg6WKP////byE5MihDfqvDqY4h wPkiQyNacvwkT0Io+lmAzsT/////dCHLnu5VmBRP7E/RIqUosQW5OpgTen9RyWh5nY6xwuz///// FiReg1Ym81BMp3g0ddUFdbUOTr0Jd/kx4R9g+3TWVdH/////SN1p6XAcmq1b8PmGRsutRvGzOmGt oGbK87Gv+baUBc1vVeD/pox+TlOvMLlm+OEUL0BEeP////9+irbmr6hOXN7WLaqsra8rhcpvFdgr I1E77N3Jz0pCk/1f+v/urKov8G8heozvUEUhBXM9IwYIKeW6qVD/7Uu8udJjbkvuzSiqoZI4e04D CfN7//////+hvza0NblAyhflhRCpReSGK9N+LF3tbAq+cMeO0J1sf6P/1l6ter775O7ZmOj1VTgL HfaTnl+owf+Mp0ce+ojo0yNUeSL1qoUO///f4GuNEoea8Eh+cWFALR3igeCz85/euZueiPr/f/v0 ixiM9aiKGmCTCmTmOxeYCR4/+bSyunEzv3ShFzk203Fjl3261FAwQgWL////WxJMa6++29sAezIZ dcDEfEu6tFPnFkOjCMD///9/kQ04yH/xjDInkxt2BiLGCKEwWiDue/Yfxa+SDmHX//8C/3I/dQ88 BUJ9h3wA0mIxu9BqgbtW7uxhWf//v/VMhMS0wgFLWDLakxz4x/NjuJ1//0wbr1Vzpv//f4ncUdf+ /2Orj74dy03e+eXTt/Yc7D6f+rH7////MWV6QjpbtieNAFDL4Az97RCV5mf2hf70jVmj/cYJ//8t fiXKegh7ScbstbGxQec8DdAWa3B+S2v/////Gz7aTjCq6wubqejSE9G0RAbrvDaI0Cm6pV5R/SSe Elv/f+v/aqOkujp/xiAPh8lQTF78ZM55f621enkoKbn/////NUmq6sgMwy1KYk8030Y2eFuR0b5G UDGG1Y7VSlO59Sf/////RqoaLZVKC/yb5iOiazcG2K2FYD4fA+rUwbGkmpOPjpD/X/j/lZ2otsfb 8gwpSWySuy9IfbXwLm+z+kSR4TT/l36pirWeAGXNOCeLAnz5efyCC5eX/0L//5qgqbXE1usDHjxd gajS/y8B0Q1MjtMbZv////+0BVmwCmfHKpD5ZdRGuzOuLK0xuELPX/KIIb1c/qNL9v9b/P+kVQnA ejf3uoBJFeS2i+Mc/eHIsp+Pgnj/////cW1sbnN7hpSludDqBydKcJnF9CZbk84MTZHYIm+/Emh/ 4///wR183kOrFoT1aeBa11faYOl1dcKHk6K0yeH//7/F/BrWhrDdDUB2r+sqbLH5RJLjN47oRaUI //9b/G7XQ7IkmcoKiw+WIK090Gb/mzrcgSnUgv////8z555YFdWYXifzwpRpQRz627+mkH1tYFZP S0pMUVlkcv//jf6Dl67I5QUogqPSBDlxrOorb7YATZ3wRp///3+J+/4hifRi00e+OLU1uD7HU1NW XGVxgJKn/////7/a+Bk9ZI676x5UjckISo/XInDBFWzGI4PmTLUhkAJ3xv///+9q6GntdP6LG65E 3XkYul8HsmARxXw287N2c6UX+P/RoHJHH/rYuZ2EblvCNC0pn/////8vN0JQYXWMpsPjBixVgbDi F0+KyAlNlN4re84kfdk4mvzf+v//Z9JAsSWcFpMTlhylzjQ6Q8c+cIX52Nap//9bokJsmcn8Mmun 5ihtIGBOn4MqpN3//19oxCz/buBVzUjGR2ky3GmB7CK7V/aYPfov9P/lkD7vo1oU0Tw0GuNUUCX9 2LaXe2L4f+kXrCkcEgsH7Q0VIC4/6wqEoQeE////t9BfjsD1+wim5ytyvAm9zAJbtxZ43VWwHg8D ev/////0cboxqM1KQyEqD2lwAmM60uKUqWl5RYm+fCWFkVUOwfi3/v/tHlO1RO7faPFHMpZ/jB1b yCWpfNUms///W7SA0rUEYoJuHIrkTKLdAFG5peku/3+Lxktwh1c8J2l7aImVooCd5uvzif/f+Nt/ bVsMC/mD6BEjnt8LRoRoMVCa5zeK//8N/uA5lfRWuyPabeFY0k/PUthh7e3w9v8LGv//L/0sQVl0 krOZKFWFuO4nY6LkKXG8CluvBmC9Hf8WX+qA5k+OnBGJBLqHDpgltUje/////3cTslT5oUz6q18W 0I1NENafazoM4bmUclM3Hgj15djO/4X+/8fDwsTJ0dzq+w8mQF19oE8bSnyx6SRio/8C///nLnjF FWi+F3PSNJkBbNpLALAtrTC2P8v//43+y87U3en4CkBScJG13AYzY5bMBUGAwgdP/1L//5roOY3k Ppv7XsQtmQh672dT4WXsdgOTJv5f6v+8VfGQMtd/KtiJPehrK+60fUkY6r+Xcuj//5fAFfzm08O2 rKWhoKKnr7rI2e0EHjtb9f//X0HN+Shaj8coc3luYy5jLHYgMC4xIDIwMDT9I9tvkzEveHggAjog YW5keSkAe7sFG8wCLQwABRwAOQnOEP+ZDwEAEAAJABLXAwchfvtmdXZ6dE12LnF5eTdGYv2/+/9z Z2puZXJcWnZwZWJmDVxKdmFxYmpmXFBoZX/5/78XYWdJcmVmdmJhXFJrY3liZXJlYnpReXQzt/gt 2DJcGUNqcm9GdmtGerq//fZna0YwU2duZnh6Fy5ya3IARwtaKzQF9iNnRXmXlv/2v25vdGVwYWQg JXMLTWVzc2FnZQAsJfuY2w91EgUuMnU6BIpue88UBgMvLT8r+2//b0NlYwBOb3YAT2N0AFNNAEF1 ZwBKdWwDtrnbrW5TYXkPcHIHA0aQt79dthNhU2EnRnJpAFRoRFdl9s7dtmQHdXNNbxcvYWJjZJ/7 wm//Z2hpamtsbZxwcXJzdE53eHl6Z/b//39BQkNERUZHSElKS0xNTk9QUVJTVFVWV1hZWhu17dba VrjXY2dUAlDc6FrhtghwDnFGIAWfahw+glsAdhqOYWh4ct33wrY9k2LudppfJ25weA+hcPi3nmJn eHZnS0PDB2nfLvx/LXR2ZXktMi4wb3FwjF9jTnB1cmaZod0KM1x2aQtEO9nWvm1IZFYtUeB5c+ee +/5uemM1AHRnYVtfKY+CWXbuc2NfB3BpLuXeDhjbUWcwI1hu+m5cRyvc2t5bYWZz1QAKaGyjLXaB V3wuZGxss91RdSZuycr2eV9BC2QZMHROsNBq3AJ3bw/w6G3l1hzO0Wu2Cwdsafz8275hl3UJZQdp bW15ZXJyMw1t4xtsbgRkD0XeLvBjbDNkaThicmXvveW3Rm4+AGFjPxfbbsPXGjpoF3THZnIEhdkI f1NhY2tfaa/BK0T+az0Pc21pdGhbQ94rX+NtB0IADgdojOzeJmpvZT9uZW8vr7XO1PELJXDYB2fN Pbe1b27PeTu2SxW998YabI9pZNcbH2LdzrnzZW9Pc0sGZXcchYJzL67aIua1z/D7d2mwa2XOj2kJ UBornb9tCQ9jI0d2D64X87kAS2huY2MY7gqOb6ojmWlmac2tPV07X9WLdm4VUO+tuX+bdXBwb7wh xXNvZuvwTmMNL21rcGjP171vunguYg9nb2xkLVB4Y7wkw5hhZmUlQ2I1p+Mw2EOjcPN2hbtordBa Z4sGW6+COXdYK2QPJx9rEFu21qWJH3RpSoySwdE3dLYrnxvY4bVubRV5yQNaR+97DsNvesEGc2gw 5fbeawddDxaTd2UMa+25YZ404AgMFrsZNltwbDkzZm9vL1v4wrGHCgrDX2xveUc6c5bazXFvehXg dXT/2i6+tmsxMKQwcmQMT2frWsHR4j7tUudjmBtboBBamW8HaSMaTo0W9g035m6Nteb4B3Oig1Zz ZthO7Su1VGlBYgdhCobmzrd1JBJX8Y3Q4vRKD/T7cjTXtq4XOWerZ7sv2uAtORoFY3hmWrqeoWBj H4B3L2SOGMc+s2hPbmkTnSO3s6ZrOnnnCjdvby5ibva9bY9Xdg8In+bawdGIKkuHs0+GCI3ZeQdh PDs6tB8N1XP7cmy6k9smxVj8by+/DHTqG0asFN36Wycv0Jp0eW2fiJcuXyE7uO97CwdAE2L9twC0 EbZan8R663DjhbLvNX11CyMgAIF8RUZuKAAppvnuUSACB7wtSgABuJKTg3wPtPwqsECaARmsA6ik G5BmBKAGX5iFLekGBQ+Qscm2gV0CCwwBAM1S2GASAQA9napskR8AJm6UHIctbXAHO0R3Hc3GY0Uo QCmvQEC3IBYIxTC7X3+pfS0iAzQEbCBTdnlyIJZKX41B+093EE9sAfPEB4tiaPd03xSDNvlkYnhx x4v81KJ5fstzaHQG/781dm1iL3hIKi4qAFVTRVJQUk9GScUWC/xMRQBZYnA1INVnapX4tRZheUdy /RvD2LDoWiCZgmYK////5DpcljAHdyxhDu66UQmZGcRtB4/0anA1pf////9j6aOVZJ4yiNsOpLjc eR7p1eCI2dKXK0y2Cb18sX4HLf////+455Edv5BkELcd8iCwakhxufPeQb6EfdTaGuvk3W1Rtb/8 ///U9MeF04NWmGwTwKhrZHr5Yv3syWWKARTZbAb0//8GuT0P+vUNCI3IIG47XhBpTORBYNX///8v KWei0eQDPEfUBEv9hQ3Sa7UKpfqotTVsmLJC1v+/0P/Ju9tA+bys42zY8lzfRc8N1txZPdGrrDD/ /7/A2SbN3lGAUdfIFmHQv7X0tCEjxLNWmZW6/////88Ppb24nrgCKAiIBV+y2QzGJOkLsYd8by8R TGhYqx1h/////8E9LWa2kEHcdgZx2wG8INKYKhDV74mFsXEftbYGpeS//P///58z1LjooskHeDT5 AA+OqAmWGJgO4bsNan8tPW0Il/8S/0smkQFcY+b0UWtrN2wc2DBlhU7///8CLfLtlQZse6UBG8H0 CIJXxA/1xtmwZVDp/v///7cS6ri+i3yIufzfHd1iSS3aFfN804xlTNT7WGGyTc7t/xcWLDrJvKPi MLvUQaXfSteV2GH/////xNGk+/TW02rpaUP82W40RohnrdC4YNpzLQRE5R0DM1+t/v//TAqqyXwN 3TxxBVCqQQInEBALvoYgDMn+//+/8WhXs4VnCdRmuZ/kYc4O+d5emMnZKSKY0LC0/////6jXxxc9 s1mBDbQuO1y9t61susAgg7jttrO/mgzitgOa/////9KxdDlH1eqvd9KdFSbbBIMW3HMSC2PjhDtk lD5qbQ2o/zf4/1pqegvPDuSd/wmTJ65msZ4HfUSTD/DSo/8l/v8Ih2jyAR7+wgZpXVdi98tSgHE2 bBnnBmv/Bv//bnYb1P7gK9OJWnraEMxK3X3fufn5776O/////0O+txfVjrBg6KPW1n6T0aHEwtg4 UvLfT/Fnu9FnV7ym/////90GtT9LNrJI2isN2EwbCq/2SgM2YHoEQcPvYN9V32eo/////++ObjF5 vmlGjLNhyxqDZryg0m8lNuJoUpV3DMwDRwu7/////7kWAiIvJgVVvju6xSgLvbKSWrQrBGqzXKf/ 18Ixz9C1v9H//4ue2Swdrt5bsMJkmybyY+yco5EKk20Cqf8X+P8GCZw/Ng7rhWcHchNXHoJKv5UU erjiriv/////sXs4G7YMm47Skg2+1eW379x8Id/bC9TS04ZC4tTx+LP+/3+h3ZSD2h/NFr6BWya5 9uF3sG93R7cY5lr/t/o3fXBqD//KOwb5CwER/55lj2muYv//3/j40/9rYcRsFnjiCqDu0g3XVIME TsKzAzlhJv////9np/cWYNBNR2lJ23duPkpq0a7cWtbZZgvfQPA72DdTrv////+8qcWeu95/z7JH 6f+1MBzyvb2KwrrKMJOzU6ajtCQFNt/q///QupMG180pV95Uv2fZIy56ZrO47MQCG2j/////XZQr byo3vgu0oY4MwxvfBVqN7wItVFJHIC8gVUdHQy9Wt2/9MS4xDQpVs2c6IGoALmZqPWrN1S5tEgFz wIGxlhEzHgMgg3Qbsw8HIBw0gzTNFAoMBAVmkGbZ/DMR9OwZpGmaAOgy5OAGaZqmD9wF2NQFG2zA LwwHI1dI0wzyB9DICLBI0wwymIgKgEWBAzZ4T1JlrRZwG+Cbq2hmBytpxgMG3gIgRXI9lFrJBjhA gVYJddZyBUrxRRCwF1zAbXVRA3YtY0Zs9G4jLD1yIHUSeWIHE7QdNW1vu3B6Kx9sFPkFQ2UAY3Zz znG1bYMIzwxmVXQbbvJXrTo9p3FuZ2G0wGR7Bxdr2wBKcKx1JnEvC2h6RUdwG8RrNnqGm2xuYgtD aA2l+mEJtUZnDbobJecC7tCp7vfoYye36/dgoQff/WNXI9DWXKkYEAoETWtqodbgIJfxc71pxQpw IXcgZhCrLiDWo5Fg2w9hG22oIChqA1doIO8bz2xZq0dwEE8kHqjRRir/aUVmlGvd1qwLZBBoQFKF 1rrAeM0gDQdlmmtNtWVfG3QRFA672grQLlgIdDhobVVL2XMWVlc87bWFzho6IHtwAj2d9rd2a4xH Ny0/F0FTQ0lJIBQGwly5cj1pdCAJZq7zbev/T2FBITAxMjM0NTY3ODkrH/8mvS9DQgdLLVpGMS1r S7XGQ2VDAuk6pQf8sthCvHkbFDMACWK8hd0C2mSZPSKSIjutcMMWTmfwLUdsuyF4o1Tjemh5hkOb L3p2hPjt3VZxO2EDWlZaUi1YXOuW2iPQMBNR+y9cC1rPf0ZolJIO3bfx3QtHYhVT9noHLQA989O9 tV9qAi4zdQQ0OFguYYetvjtOGHT2z79hrbUtKwPZPyVmYGlhZKN5YxdwCq01vqAvrhgXLu0M7Tq/ eqwJYQLaZiKNz4KANGctUmGt2Teai3G+QThmcjY0IuFeK31RdmaP3FFep3daauOLdQRQLEU2IWBU D5+017anVy+ibmpASpwRbStNbWc/py2svcguxTUynjdvimJwQrcdR3WaIAJumS2h0YL0miDYF2aZ ftiHxnXrZy6VUVVJVPrzzs2nEg9EQVRBRVBDR2/9295rQjo8sj4PWk5WWW9FQlp257dkEdJVUllC IAtSVdWA10tUb7s4jGYt8Mta1SDIl9tORgMQTnDQaAwabNdao+CtZVwPZoL1tcV752U1bjvWAWe7 5WF5CgAAMQuGeO8deCAHEWN/NvbedHAIIwd4KFWL7IHs+f//xggEjVYzyTP2OU0MxkX/x35oV4s9 VBBK//9/dYH5sXIVjUX4agBQjYX4+///UVD/dRAG4rcSti+LRQi7hSNEu/vtBAYyNUGIhA33HovG mQZg/2+/ArID9uoAFUY7dQx8uYXJW3QTQyXHsQ9fXsnDgSwB+sZElIhvIuxoTCSJ7/7uv842Wot1 CIsdeIZZM/9Zib4MI4l9CDmb+3JrAkPU/nUOaBgSSRXbbLG7dCPrDFAODXCAvSHsutnWOXEqI2wV jY3d79n/SYA8CFx0DhloSG7/03lQ2J/4YSvTV2iAYgJXagMlf9OZIA1EaIv4hf90BYPbNpN1fyNc ZIP4ETeo8vZtYf8Ug6ECD4xUSv/rQS9i26ACAAQUonNvs/0o3IPEDFcvYMeG0AK692DmbAoLAlKN RghWsrPHTlz3AXUUElg5whsWXi0/W0CNbCSMQgsvmeSIAGB9fDzbLWzdLx+IXX++MYAecCcZm+7/ zjwnU1CKRX/22BvAA8ZZBIXAm3v/7XRV/hOAfX8CfNXHB5w4KmwyZbu/UDdTaAY4U1M6FGFmWzh1 CQBwDABDw8na3cWgg8V0oxnr7e/fTfJ2g+xApsBopFkOWVBqAWrdZjMNvoAFfC23f/ce5GB0ZEAl NALoaLTYlQvLOzLM/eZoBDYcZvsOUzyQnMNcvOF+EfQeBRAbdYlF/M2y4biLNVRKXV3QEf4OJTid IQ+EqZ3kQA6M0E3Q0D07rLvWoVAr1ghqIHkG49Q2jFNcU9Bm3PEhO8N0Mkh0LVAks0KyyXCIDHrw YbwjDXeE6xAYh4c9kzEPhRkMIHUP5sBw/TOkT9AueSPJaMhAUGjANT10bDwXtRAAv/5QOtqj6S7H aE3cMRalg0zmGhUBdS29wjbh4XyBxnVWLuJW4IYZw7lcJQ0IFhcjRkuUJhtqbdg6XfDxmDJQyAUk vHCEzmwSlNf0O8R2BTNYttZ+FXMEBgUS+PAmuazRJipB+PDs5UBGFPz0cho2Z+F193IS51w3aOf+ nHLjHIzubmQEXpz+GO8Yy1dQX4idDhqx5DlynIABnEAO5ONhIJycE0bk2Q0EJRKcmyPJIMC0YwfZ 3GYw2gj+G19UwL/almzHwl6B//wBdzbH0qUY9B1B/PD/37WH8NYm4TIdD7fAakyZWff5hdJhD/b7 dRPGhD0lDUcICusaJP+x//SZue92+YDCEIiUHEf/Tfh1mzv7m5sN2HQSYFdcBIxgTvcNM9Me++j4 eny73ME8EWpEN6BfV1NRoHBrlEtLp03kt7bWrV3KoFEIA1NAUeHM1Xablbc4JVNm1tDW9GSrX5Go EGqg5A56T+jepGUI1nZ0DXA1NE1JHPagzLlRewdmcyMNsEFWiUYEd9IjbLAqn0qsMzk+WR/jtrXd VhIrTlwKag90D8Fo7QJl/Kr3PSAG7Pv7Ff8dKV4FLWpZJEUvzsDIb4QXLNOsyAducrDdOLIETMM/ 2VwTJiVkx1EuVlZBedweTj9ZxAN3cRHEPPxezULB/Ct8aOPDEUyT4CgwvihKLDO2e4198KUAvjgL 4AV4wLQbpSMvraA7tDARyU0BYXjQ5Oa4UABM1IRmBtiAjhw5ctx84HjkdOhwyJEjR+xspGioZBw5 cuSsYLBctFi4VJEjR468UMBMxEgLc+TIyETMQNA8BMf2cFLUxAgbC5w9Wy/IUgihwBDjPE33NiPw ibUFEriL/0tvnI37AnUFspgDyPfZi8F5ApvjW0vsZuH0BnYGLQYAyK59t2bp8nUL8vgY8gy7dy+1 Bj7OuTiAfQW5NAZqPO9baPyZXvf+UlDnsVEF+gTT3Xie+PDyVoWgDPYw4+PN9NRoDCV2DMq3z3Cx ZzCyXKOwgQTDoek99n8FacA1TloBQBFmobIXTrce0gfIweEQWQvBqkQk/Hf//wRW6yWLVCQMi/CE yXQRigoFCzgOdQdGQoA+fYtbLyfvO/IrgDq5CUCKCIUeW7oaddUoXjXrBzoZ+7vt7Ah0BxbzBSoO 9tkbyffRI1fSJ7ZH9fUQHXQxkPYl190MqotdDPi6EA+2OAId/EHXA2ZX/dZZQxxZRvu9wItNBMF1 DTN12GOaQMxtIFLr9kkUm7vE0lldTURVDEOTilbi9tIBhIoIOgIYQULEUNFO4NsBAgorwV1wJHZo 629saQhuiXX4gD8Ao0itQ791zvc+Jg+FMbUkv4BZukYNIyNJRg++BD5/c88XNxFZXA6IRB3cQ0ag /db+g/sPcuKAZAolyThN3Il/G99i+17cLxAxDImAOB9Moxs590rQdfAXT1oBRlkLlvt9D47OAFRq FChj+PbtUJOfPV2WIF3diBlBR/vi6xa43CVsCLRno7aIUA0pyH1r2O4+C1SLXfwgK/NQrvRseHkW emzw8HRRKwPzPwj8G+AcPo00CAP34c8ryzvzG7+1b40IAXMb94V+K4vDKzED7Ru1by+KFDOIrffx fPXru+7fvvxB/4XAfA8GK95AGQuIEUlIdfdm4VsYBigZUA2ND3lYcJ+5dLae+C0AJuWgY7r3W6Ym kJFJGmcY/Bv8hQdlJZtWRDcBix0c2QwLzsT701zb6mzBHIJxGAzoKEMy1lHoWSDJgL/927dlMkY8 QVko6XwMPFp/CBvIg+k36x/W2rEGBzCKPxwYwIPoaCj9OwcwweAEnQp8FLppW0kIQ+nZ6IhNCMHw QyhRTXRBA8NJQ81PwkJLOEbOO96NRBHc8Bdui34hJYoOiAwzRiTrFEjJIc0nOhgr8w7ogwxJMwjo /Oe2Ujsn/F5tNHSzvbPXBAM8AxLtOMj05QRZOGoGvqTrlZPu30995POlZqWkD4jI+9Ntc65s5BVQ pM2BWVlfnOpLO3hedBTJahoGWYPADc1+rt/1+YpEFeQdKshQJ6FcyLMlWcjIRd0W3G0IBFaLkdJ8 BIoG6NL/NV4NNDXfiAdHWUZjgCfIl3pmFp1EVi+8aNwlmp+uDrxZj9Dwhfb+zSGdWxUVFFg0dFli SL4vOcBWXMxTb7AFm/w5Uf/QZyDABrcD6wOIWJRwny3MaJCYhCZBPlvMvW4TSBfYfCZmK23DWX/4 hBX4lU5MEukcGGwMqxmdQ1MdaWJ2yC2jUw6pNJDtxfcAUlNYJAwyQmNmLhAAcPj20HowGd3myVc9 utAae429Q0/f/zgvkn0L1thTDsYEOFwMPGS26htcFXiQ+OxMQpfXIgcbIfaE/v80lZARroQFQULn wn42HVloeCY6BrCXt/8703xOg/oBfjQEA34aBHU/aRls92x0LmhwB+s9FGxBBnkGaChkZpBBnmAT XFgSrtlh0NcIzk57LQszhGQROwOYemf8CngZBqNnsxPL81nqAPAK8HVcEEYMPYMBucgA/AzyZomY ri2NFmZYFHMMAjbdhgIzJDPSDgQ4F5qT7dwknQYGCAp0+KUCN8E0OyLd6wmA+S5+DC41SNEMOMfI KsuIjLGl3xXtIkI72H0eK628DW+lL/CLyAPY5hTB6QJ8C4PhA9xyAfcD0POkn/c7LkMG9iu0DaOs rM19gKQzVrhVIt4ucg0Vc4bdtu+ENadGpEYNahAPThjsJsaDxgLaVjN4hxZv+rzJzQ+ewV5YPMSt 4xNLZfxg8OhDBIKbeywKcAVWJHY11Q0c3M99MF/+BDDwb/HW5gVQBesOnEB9Bo10BgHhnmsrCg8G hTgxuff61hU5DHzLi8aHWFmgoWcqQ9lgnztoW83fqH1rgf7/AF/qA1Xebo0XBtJ0SjZPF0AJfguK deMv0BMPPkZASnX1yT4u+a0ssRYnnfxmwAKJRfh36lRpAZP7aqUS7772Jf8/C1QSBHym6wvRvrV9 gYp8N/8uqE4Rf/SAJDnYegUcQLoDV3eMrauSARrnMBvYEOUz3p4leNT2sXXoXhuiqQu4KF8cDFg6 RW2Lt1aDPAL0fQcd6RYhDIUCaUVTp7vFf6reFTnvi9hZO3dZfB9LbBcGPABGCgNONsFh4tJtNfgI BjvHVOBcFyy04PgDOi+9XAOwtdJGFGgDmaVvGfpcw9rctgPKrmFgOkiLQwre0KJgujWcAqm7e7eT oUNmW+BDEgyDwwYOoGEXrOINCuRDj0PAXu/egold6D5/Yb4kRvp0bxNi3N6r7HRDGFeocexh/Y21 lUVZi4YWvugX5BDYP+xPC7eNwoMgLMYFCfTrkAGOxwATulUPjCJuPHSpAauNX8m/DCN+ridHU1W2 bTPtGIe1HvFVxwFhfdgKLDzhO911PD66dBGNg9uhrxhgzlb9iSg1wpVrJPwhfpvbeLMIEIlsJBR0 ixhROae/rXMLDxhAaFXrAVWb+AVzf9m0JEQQBtU43kTBPGBGXo7bbXfXyCHXXThQVQo8VQZt0A6V x8RfoED87MzWU0RJZDGOXARVU5/t2CEbVchTV6Zo6IVTvNm67S8oJzQ77g+G2ry0pCYOAkZXg+YP NmpuG5sDyiEB/lMPa5hb9yAahF+IDX+Zi+1jbvR9ZTr6WYmNJKoVuqUb35IhHAMYEaZ4yd2xEOsE /OGDvwomWZrObDafDQgPkcLXvDkMAw+Cg70ZVfTHuidGLnYVVtWBx1LHzgA+24sHPRhbBnThCDxA KE8oxlu3Fo1uwYv9QJJFSPrWQStZdRJWQ7out6G/9hyJrCYGBxibc/w6ITCsiz9iB55B0vbbHiQl IEfbgxIY2XIhuu0e/w8UChS8Jf7ZU4zwDYuEtsfxU2W6Z6ELkSR5bERhDT/1YjRgSxrVXVuBE65Y j8R3e2+PK+RcplT5csXi4BJdnZwWEQIQamSM2oYxqEaRfNY9dHMhBwe+uHQX6KVyzeIhc6R6v32b xdsmDhB1DXQiaKx2i5POKg/MEl/0VnmV64GFHA9t0G9XO2rdWOtxi0PDO/4w7ahweHRhU7uTpk91 SxhySnBRmT5TLpDBXYNHHLSDDmj/LrIQnzp3GNfgU3cjuAOTVWs/oP51pupuE1JCHGC+nKJXtilO GgPQBTIHVsPrhLhj4oTRAGvIltnqtezE0BwssgU76+8dpL4AQEHTrp7GqsvtFFFC11+GH4228Cte IYFUhesKG3D3YY13BNJYajWf5NJ2uq6Tolae5oARCuOR3dnokxWjXBEoi0CNVxxwW0kAG7MjHPyM URVo5D7EWQ0z9KMLqQZcdZsxlQEMEQbUGQ/kXd/XMTAEMfotBWc/DGXwgMhfCVE2qR8tPGyq+FdA gEej29UDiMBAQEN0Wd5gtSuPdE9EJLPdQQbrXiQPIC+KDmg6SbWC1PYcdRsYyPaRsHXF6xIZzJe4 5bYjRi4RdefliVzm6g1M6E1AdD9pUFVqJQMUbWDvz2DqDAQrQ1k8SvYMC929a0CUM4h2T8GqtcT5 ECsNUDYg3Ub9TsArPjYX9g7ZK5Z1KiODK+3/diQGXCtAdQNLea+AZCsVatBKuIuBvRF7qQHbttU+ PgY9E/g8SxxZPBuwK4C0k71L7nQPLctZQ7XaXuM1K720gLO603vAtl8h60yNPC4oB7g6ige3yWWz IycheAdT5W4bcT+0TnmxdZG6Njha5HwK3kC0vHAHhgPuzl1Zw++L8VfaGhZaDjCAQif/N8sOjbu7 IIXbkZ2Ed8vCuwYZiANDRww32R8DgCOwO2y4AAwoMhEQPI2Edgkah9V0HMUXxlwZ5CQFOu7mcWug 4TUdEhAnC1Y2mmzUvxTpXE8PiL9t1JRGVbVAXcODJbi9hdpWeGD5bIIFCy7ROBhk7VNBzjkdVmbD /RKjvAQBOT+jFxYIL+sLTAf/lg1wS+4TPN8cHHu7B69jKn/kEFsoi8u9ES3eKw0UxI2jwIK7zcfa SYzvKwQPj+a7yBO9wDNww3ciU4vFi89aQxFZkS4Dy8jzvIGdGJTM7pFBvhkGgyp/fhXPtvFu7oC4 SgUJCMd0ZLf3smeRig1h+CEF0XJ724hEILswfAv9OX/FGg4PiojBAwDlIw34W8qHSKEZa8Bkh7+N frFVFYIMfsE9DDLrn/ztiB0EIFUVBnwJPOsHYQnHZwhGfeEHycN5KJyRal23ALxGLzVdYOsFng9n BjrDqog5ZrUK+SQR1B6yUd/HwIQ9dNiEqRtURoGwOXzetzDSXZkAEhecX9+4Dj46U7dT/zCpEVDD S9u3Skc7g0aPOR514zOwyRCyc0srsBEU7w1eLbP43ljr9911Ffmq8nEQQfjCXFdqvAujIMCnvlO7 YjV3Rkeep9ozW6yZHqQU3fCDrEh2c3gSJ7h4r7Y02MDg5EiG4BgzNU3c8PB1qO1eINOdfyaqBmjo Ks1mJ6GE8FAt0WQyNwitgShG5MjBbiwhagUZlCk2ZJNcTdwzM8NLWMjP9CS49EcwYcWSECZRvq8f bQ35S0EEPDgWVgalDz7xm8H84ylgMrUIk4VXvRB/Ks9hA0h58OgPA8dBqdYo9t0SPsTusdo4dcjU vYvHP0UWU7Ng1sKyCpVC8QqQDG2OVQuwoX5N1z02fxKNjWDgdoeN/TJHFNWYgtFt6khjbMyDghcd fLLELTQKUPboLIs2q4KVGt0bGhatrSx++IPHD1d+adg/LF6IXhbrWVeGgGYIAKsuhgQUjIpO/poJ e4hGCWRcoXxo9CokxAbrIwYciZBdDnO0hQ/+N5/hgHZhImY1UT6ErmyqoXR3EfkThJ8GxP7POzUz 0jPJ9/YpJXr3I98PKoNBO8p88dx4g8AKMAY9tBd2DDH0EFqKPxdiQGpPNIAx29thQbkxT1n38aKA qBGOBfUoEwBcya1yyckZ3fwqYsEgy4CAgIFPg6EffIRZWWd11BRyyUIDqwhyCAribR806NPGA6Em fata6zzb7M76IjlYXLb+hRtPO/PAi1ZYO1BYc2rwwj+89dJR5oH5/H9camBToNxB2EIude9KKh0l o1MToHonH0KwrvOIEPOzWIle2501vFx/momuQHi2ORWzD+B/dbFXjX4Ix0Zc/h8wk2N37v92BDNb QOFZTxRXc6/OdWkUSmlfZ/z00R6Jn4RJMFP/QFzorKGNr1U5zWFZnA5Rs2Mj8agDVRcbSVkyBinc SZXoNPpQhIWGgfGYOcfOL8gJr0pWz7AJ3Y4WdkZKLRVZYypXdWYb3FKRzohXwqNvSG1qpyu67OKK BEh05oatu6Jftle/0Bz0Ldy14plDD1bGQAH316D7VHhZCQIIIwB2ByYUiY9M8C6gjG6P1IJrRHFE gH4sdSCjbhTO6iscYLno9PBScUdkSAWFKD0gHBrf2MjOrf4R6xiLDg04ZdSWGQ8KfHW40wm+YAcE DINkJDz9LSL2K6LHBYVL9q8Q5usXaOWkUTnHBCiFhgfeOA9GfUvgYxQr8Bc6AQ+U2CHQsOGINHB0 7aCJ32hv38l0TkOAeER1D0VweopOCTq4wvbnSAl+SAQ7TB5y+QW3A25qh4TXgfvsfB1JNMcGeEsm gf2SfhB9vc2VGHMGXlkIrCSwQUttFDvFTfNJWx22nzIEcyiNRhhNHlYBJ03uaOta5RisFronmDT0 Eb3pYbPgDrIdcQ0EUMdkYIPHHARog/sDk+IuCAs4Kb7bZx8Auw3gPXAXCsoiSGa+3xZ7VjqNo/aj 0ATUTLrqa8PBgDOgQm0IPmV9DDd+FvQ8Fm3hD7YJiVFaAogIturERoDtLlEMB7BFAWWujLHtqP/2 vwgsIVuJXfg73n9mLcYrrVAhGh0MIcvGR27Ad/xjMqNJ/zeLtKK3UrhcHBkEA8a6uXdHs4sHHjvY dCNxEytVrtsNNHDLDDMDSSvW2Gyt3f4JihmIGEBBe/eLYitbATtHpgtoi18OPHR1iSNcdwVeD450 tYTtw1KbHFYaBh4zHSkLNMrd/FYINIUD8SFCg8HCF1teB1tLCLCZjTjSfULWS7m7Uz1EjV8BWYIe hbemi//Ds4Vaz34TDhfcQqVEt4uQ7m4FSS7UiBvCf+24CX0j31pn3xkUMIC6GBZDg3zt6w5brZp0 FDG1wMi5Ff7/fO6NUQM70H1lO899YTvBYU9cBu9aG2y7IUgST+I7wn5DkuEd/DvHfj8rwYz/B3w2 LTnmFhv9A847132jAZEV+LViF/BCQYH6BHLp9iENPOgQDoMADtVc+Iv7O30WjDFeBEw9lMfzuBAA dXwPF1DOAnIDbD8s4ESAT27wD4SVpokMkwDnavgShr5FK1NRv/0Ob2+GW4sqcldRKgL0UOsWWvjQ Tj3Mc1N1+CIFTcB78Ru+Bh/jXLysAY4OTdDNaOM32ij024F9+ACw3Xf2Bcy6JlMwV/BTrgHXqqi4 +aYOiNWBSRZfhFlXJiO/lMxWzW08mFx8Hq5ktgjNs8/P/sboHTRrjeYCMwDCDPCQZZBtaPscYJ6z BN/DBFckBP+8+41b4Tv7rWRb6+xHZItPYDEW29h+dlWJTXA2bDpwhMpd5WDV4IRNaAfx/C/cSvpO RHPBFD6IVAXgOBw+ulu1AMZGIXLoPwwc/A/DMbmDRXBE/01sgrYgm9lw/PxgCWTD1m5Mc+sItYHu CfNQEwhdrVjQWEL9RahowC3s+4QaBKIe8KiBcoleL3VRaeqo/iZUoQKS6IRqZ6GZqACTQnAJNYuo hQUMf28HPU+TWZqb4n1BkMhXow034P4zSIN+ICgPgrNZlMn/OEsftNRGLHA9+xFwBsC7QKMsD3TI QAkCbrC0i+hhfe9l6Jekg+8tRDEtag/m6Amt+ETlNBFMfeh9Wru9RAYAIAM3DYFjtxu4Yin7h0ct 5FCMamcvaFy/fODXPW3X+wwxQAEeUsckdaMr0SNbRSQumTmy7zHILT8cGa455EgOFJQMDMnYC3R+ FQRoPttAjvwtngnAEgtJHdv+SR70LbcU/DZ45/DMw1Pj7C1wBsycAkpEk/iboiYfOUYgdzXrCzKM 0OAU7JytdVhxoQT0G3UKGIbJXetOxMEPAnUJ2E92BKdfdFhcAgxXbC7YxX4Mmjv+N0ASOWCmcI5k Wzk1zBjdwTeLHVxE5DpN9Zrf0wmy5NbCVLMmmqQZNqOTapQVehHlGCc5MC5oQLSk/bPNQZJWk5L8 FYo8Ee9QdSM1ESTGE2a7kHUDI9TrEcju1wkwIKisNb3QPO/cbBuEGwjRAHSuEZsZRpYJ0pwPWsXZ N8omUL5UUCtM+LEvE/alEHQgaksoy65hHbhIIghTCOmJ2CB0BqcntdT00Fhs6UPN9hm8OMhD8T3k WxApHwhJIja3hXz/UC7SR0Ue8rxoQC49eIOng69hvoRMu7BWRf3hGSAJU5QUZ7QO88EeLDw0Sbzm s1RlKPj9YSVskJdQF/j9ChkANpzjU6ZNYBfNlh3moi3XHLJMDOGRGWoFDgcqs4GDpNNWrCpQwuLP 6YpgAZtWvhEB2N4T1IqdDRP9daR7yeou4CVpD2erEBvGDmfd/ChWdLMyHisw9NmMNxqYBiJooB/l QPsrxE5Z/g8aBVp8t6s82ejdGVChav/bUAAR8ssNoiNUpFWVaACA0MKQS9YK+gPwIlJ/kJQWPnAL Cwi5J/fWAbX9l7oB58dTwU6L2PfbjTzfiS/0l7ofihpIM94j2cHvBDSdcGQZa3fdM/dCFBLuPNsg suf+3yUSSK46w0JEX7LDW4TAj/z+FooCM8YjwSEEhfBCT3XqDoTiCx730F5d/kzfb+EAbiDwzwdy CAfaxM0NxAd23vDUBwFyByddYQnlRRP29mMp05Ef9gpVwU3E2dpGcMDElwskBQWtoxJ99maJAQ2q /A84R9+XBvpm0ekYwbsadumcBA0IaldWAB16GqEYSKQ9A+z61BZau5DrHUp0MXXxgF7Y0LX4hol2 dotWbGB4eAOXe7wZ3kJ6dctoCRvKUSfKHKFPvXxzYL+AcR1orAFZ6KBW08nammpr+K79W8YH9SyD bK7AJAJADJ7l9qg6Jn300f5sTVUK4LIek7g5ZDsIL2ouC4gWS8QWZNgJxNlQrjRs4ksDBG3CUEa8 BTVNt5mOwb4DkMCSFrlW2C9XaUYl97uh9nXdlArEB5YX7LxdzW3LwgkwxgKY8beoba6h02bKCAWc C22LQSX8vw3OEG1C15WgOtIDpDeD5osFba1QgnjUa+65tqYCshYePDAFKMQMFWQNVBDB0VvmHma7 WzDPwrOfHzuHhISsNRFrqlAxBwEmadNwgNgZYaX4neNkIRv4wD6y6LyCwVQxLTI89my4LB2IAQIS jBSsCLHCTNGuypmiu2ytV0U12AUGL9xnQ9vdywEuB94rWF3gASucbM/iAexr5NiSqOgQoTcE8j+W EXlO+8ZeOgD/lAMTBVdDagZTstEjZi+59upO4MAc4WaEZupQgfs4ZHPu6fjP9Gh+ZgSAVuYRTAWf aDfb6xgNUD1HJy88Gmoktu6sMqJq3Agr11RVlHL/dNjraz0zI3BXlIWiG7b9Qm8Dx74G7A1GAZSJ nQwA01BsIPTdndYBXzBRRT/+OjezhocIwWiCKUFS9uBkEHQYsbCc6IAWEwliEQx/J8wlFBAKkWhw MggJTFISWYcEpyoYYSj9YtekwghmgmoI4GY/G0pam1l07UnJ3CL2ZuTkm5NEEbAJDsDlIIvmN6t3 67uGoYds/9hiQZKYx427kwVbHfzVU7D0eHKrZiv/XBHhanhgGBwU2gUCLTiAhbwMoI9QpmNVVxT0 Rmo/RAsbC9HyXqCNd1AOUHuy4FLhtGtoTnXlRxdqhJ9FW7ApU4cIg4cVFOrDBFZixmToJsQ3g/pi fUcqlDyKS8CshLV+MK3V28iBHxw7ytMjRGUrmkH1fQ3vyT41iFyJWFdaAzP/XP+b7PaL8gPx1n4Z FxoVgMJhiBQ7/c3VrUewfOc48TQHxkYEQDYuBY8jg+ADZ/80DxOOckEWyFbBieTLPrLYuAh9QnEF M/a9sht8+oPHA4B+HXKUM2///g8CRjv3fOOApB4LAF/rYDawHkbFuwjDuaiv28EIA/DE0rBNAHXy P0P++t+2b0PARrEeH8nNO/J9DIoMxbAy0ttihHDr/MU7Fre7FYB2tsWsC42DWyVLN4yFXzL4ueSB XDIAM/iLNJ8B/LOkVmsE3b01kIHDtwdoXDQIYaziH8AYNgZADmQFDwRyu2RABAzWKDOAHMhUDDCQ 5yG8OzYsMwTa20cWtDJ8FgRVfRboZPfU/SVqAeUsfBIVfA2OgDPdEzD2LQwDmdncR1eInrQcBbVW j/02HkB9e4YeATgldSGNbLMi14a3UGE0tqlIhMu4UIBtbLm0YPO19Py/IFc8ByN6n7aInRMr9Pzs 3aw0+Uw/UIgYUziRLcDwaIijyEQrGjvbOBgpzxxX1CbPEDatKLXsxS70BnKkAGSLQTs34MH8Elhg IGbPznNzAYQnaIB/aEqIMyMMUPzDIJ+MjfgPhCIZYBEhDLdDvrxVVE48GDxHB64/gf9bFMKZjbTy C+z2K4gAKOFiTYJ80bAaPnE9HAnFzBJiBQP1t490FX4M9wJ/B2h8NK9Wrn0C3usFLg1DZ4clSAlG B0m4hHVEkS3K7Vz4t7MzAxsrYiFKdA9odDSs1Tehs2YcNw59h+IZaA2fDmSMH7OBdggTvDgneMKM cHQJPYi2WycaOiOIMLgUh9hiB8BeuPBqKAPQ5oVoIcXUqAUAADJy29CENSBN4AnkIOg0zmXz7Mg0 dfD0jClJin5hDDvWfWnIwVPJBIpuxoH2R5pePclFPCByODw93AD/S/w8K3QwPHksPH90KDyAdCTD ilovASCIBPgwn7rbk0YKxhUNRgQK8buAoG4B2yQe/0YBzkfEVipQ9+znYwixfElLB/Xn/zPJQfom /lu6yn0Ji3TF2EBl8YN8xdAECbhN3BHUU8YH6M0gEEQQvpA1cr9QNOi886WB/aSKTA28jeJC8V+I CopxcAEH/y3V6sHhBD/QzheISgGKSJZlWboBGAIPAgZe0O23zxkCikAV4D+KRAUMQgN1pp4n9RgE V1gCBcgWPCLT3ylovDoYNehPZNYEiK31RfHsMATwN7pQlPLOciI77Fec0YA06Og4OYAmt0U5ZDHC Rvp/L+GzLoqEBSeIRDXzdb+NVSVqG7oZ9CRjYlgMXYhab6k1+IiQkfCDqHMvvF5Mcg1hAw1DaQcK A7r2hQ3+BHLZpjJX1diFrw03mQmFdCpN+Gy/C2hzBMZF+z0IAvo918StARR1HzwD3qUMmlQqOKK1 pJhauEEmBxRRUxTYpk3FhVOzQPG7wMOykXAQl99QBXvhM8YJD1JqLpg2SgTQdK9meFctC3BWGvrI WFktJI1DBBnVlc52AKogaBiucSAS88UbHCcQsgaVFq1ZtdnIvlMbUDIMftlCdtkOMK9oPCARGIO9 VAuiGGgImjWUHdm3wJQUaPg1M9wRUk3EyNTVOVldIbSgcwDRJwAScrDUuDdwyIVY3v5zWDeDyh12 9k5QF1CEHDLLjbpgP3UD3q5iUUzk2Yx4SCxEuDbZCDQ3dkfGUE/YDbCNnQhShYvDdk1zCYpjxgUT Zmik9EBqwP8MHUgEOtGNWe7XO/Md+QYxoab3Bw+Mv2/ID6hIBrj7DI34vVPDBRFc2kTkk+1mFA1d mwpe0o21oe6oEWUSc4uFov308YbJweACRrk0BZ8j0Ba2WIoTCtdA2FmJh3RgQHQeGE2J7zc7ZNkK cmX54CdMTzIWdW79AW85XfitIssDavjswxElSGAmdfiuOoc/FAxGVzl1ELg16gURfnKLEUQpfUJH banJFIz5TSSYVQ/q0omDwtWAt1sB7Axp0g1w9XOLOlK87P6JVfQIZeph2X4m+Vh915fMEVp0FIoH Fkc8CnQK7mrB34cDxztFEHyXpS+IHAiyVPsRn4PI/+v2N/5Yv4GGKMMJOxeAPzB0GW7ksIhXEAcw HwqWCANQpV7LLfxCkcA78FfZYw6zR5aRbQgIWgxREA/foPvNjkiKBjwNdAyOCBJ0BDwJMFuB+HUD RuvrdCYqiK1AJKPIJUbumu4X4T48OnQ5LjUxKgIEFxR/W4rsDzh1CTiEDf9A23XQLhADBEnOiBDR d8Rd7kGB+bZyvusBTkVibKwlEgBdzJgsz4XID7gA/9Mgi7VdzA8OJDgrHC/D3gyQ6Tg6dWEeMJnh RP5bD+igZ+5ItkBG0soBRulcB7vO0k/1FsG5YYK/gaFdbeIKQjvXfOp13cdWEGUCKkIdC+M37ilq 8D4KqI4qCXPtN4gIgg11DusLIAsc0NIQGwcGNQ2EggQOyEudj21rBBeGTornHQUEG2wrbTADhkkA jpI1M8Jyw2MNdYTzqwybYJIAGI0bx4UYMJ16BU0GtmgxomBl4xEOZ+MG01BRUGT8m5YQ/YK4i8HH aCthor7aLBQ3Kxpp+wAQ6g+IXsKAww/7iB9wB8VWvtoziuW7314XaooRgPogyvoJdRNB/qVSbwc5 fxK33ASAQY1EQtDNGvH/HjB96YA5LXUceU3PreAQVrNn1X9uSVGqs7VWYt4QDHLcVYBoRDhKSDey i61oqD0b+/agF3JAIYpaPTQEhmo9EAd+SDSCLrht9kBTaHWSj1T8agYbmak9hBnYg2DqLQIXLzj1 V9SPD9w85foe8r6YOvjGHzCYXXVqVOiIVlMpnIt+EKa+RJWFmH3qcozEPZB4jbnc6LEkPwo0OIm/ ECfLNmvO6v5XRUAYfEIy2O4HPSs2fjw4KPk838ozdE8rj0Qj5MAuFDv9A7nkkhMIBKckj5D71wDE 55nMwWj8viEMtXp8mZGPqt09Xc2S6TfA+IoBi9lKPBUHDlJT6UOKAz9rAxcDQxXgG187y3QuUC51 EWrNai+ASKG0RECscVsMwxIrwfwP8u6t0FxOwhPL66woBWj0N5kzvAigtwuStaVGeHwjnX2/7Cao UC25H4gT8xJ0c0dT6wYJBkZTS0PDKHXGprU0A/IsNOAi3FhcDgFJuv8QTCIwNgHYQv9sL1fBIBIC b5cPqSzVb0UREAzc/C1QKTohtVdZI3LwICVTS0tEDQkgb3C6E4c7grEZ/d5WTAK57EhQFtQJmB23 o1C9DSpIT4y9HAF9UzxUc3vgdCtqGRthCrKJ3AhD3nOLcFSUA2tDxtrL1Qdvk95LAE4Me4zp9HUY unVwQabqndNK0wKuDQMk8CcYOCSWgnxfcgMBWw2viA0+ZuxzAOnB+QNR6uz8GAEL5Oz8AIIVn4ZI XEBXblYgdtGE1es1wePNJSNP8HQk7AzuP4iXLOx0IpvHIaYeXQDQPAO+p+IG+vgJD4et3ySFRHKL fLMNnHE7aXD+FIftDrJwtmjYx+tuDdCHPIc8YMhSwIc8hzxEuDashzyHPCigGpgOM4c8DJCJ1mMm 3hs76weApQ07BnRKBoTYVY0IDTvIArOwxhBosg9TcBR8vqD2GmJs5z4ZfRFHFW35PtE03XZAFBSA ZCkDN0XTNE3TU2FvfYubke9Nmf8lVBEFCBDMzF8gDMRRPXA5CHIUge2P/b7pCy0EhQEXc+wryIvE DL0uVeqL4YtTnFDDkgoZRJEAqlSpKg5ZqopCgwM2zUFRqBwBQ6Wil4ibdGVGcLe2UfRNYXBwwEET DW5kC/YMRYgVDgNeqBp2cnMPd0VudlF1FN0Qb27HVrd3h3V9YhhXK293c0QdZWOC/Xb2dG9yeRVE InZlVHlwJHbvZ/9HU2l6ZVpDbG9zChRUaTX3bt9RVG9TeWplbQstHBvbbkH2QWwGYzpUGNqT729w KU5hbUxTUG9HJeyZqJIhPdrW7b4OQ3VycqVUaOdkEVeJxn67ze0KTG8QTGlicmGlbF479t41cmNw CY9IYZgkcNvawa1BdB0qdTpzQbJbsIEyNwhuQZ1ACNhtUBtoQYkKW5612GQfHkxhRZx7usNaGVFN X3hvhzZZO1hdRGUGalOLQGj/VkdNb2R1FRQYwoTYd0tVu112SBpBcxhTCGVwBtiWS3hFeGklYUaY U+0w9+YOHE9iasCkULDfsCW0Y3kGMv1pgs0K22Nru3VsTCm1UNXNGmlaTUlmgNpF+W1h5RcD4/2O cFZpZXdPZosAYgkrtEw487kRClBvzA1hZGVD2L/ZW9smTfZIQnl0Im5BZG7CEt5kcnIWx61uWWu0 SKU4HCsnw5gxexMZYAS8rDCEbqrNCWlBd4+zYY1GSXE1a2VkE3ZqC6VjEgsVSdKZYZJuUiLkVTM2 wbCw9dRCkyZLHYUUnHmitdqxx/g2Z4xLZXkMT3BN3Tr36AtFJA46Vo11ZWEHAIYPJBEJM3cppnVt MAyvrdlssz9kwggBbaPutDXMc2WiandDEPPY3wwDB2lzZGlnaRl1cHBzzc22EXgSCWZbCDjNVvhz cGFLT80sWMD+e5tVL0J1ZmZBDwtn2o48TG93d3Y5crYjUZht2HcKR9gsy7I91BMCCgRvl7Isy7IL NBcSENWyLMsDDwkUcx/IPxZCUEUAAEwBAuAAD3XLSf4BCwEHAAB8UUAQA5Bhs272DUoLGwQeB+tm S7YzoAYoEAfyEngDBqvYg4FALs94kPAB1zWQdWSETy41dCt22bLJe+sAINULtlHg4C7BxwCb+7t3 Yd8jfidAAhvUhQCgUH0N0+UAAAAAAAAAkP8AAAAAAAAAAAAAAAAAYL4AcEoAjb4AoP//V4PN/+sQ kJCQkJCQigZGiAdHAdt1B4seg+78Edty7bgBAAAAAdt1B4seg+78EdsRwAHbc+91CYseg+78Edtz 5DHJg+gDcg3B4AiKBkaD8P90dInFAdt1B4seg+78EdsRyQHbdQeLHoPu/BHbEcl1IEEB23UHix6D 7vwR2xHJAdtz73UJix6D7vwR23Pkg8ECgf0A8///g9EBjRQvg/38dg+KAkKIB0dJdffpY////5CL AoPCBIkHg8cEg+kEd/EBz+lM////Xon3uQ0BAACKB0cs6DwBd/eAPwF18osHil8EZsHoCMHAEIbE KfiA6+gB8IkHg8cFidji2Y2+AJAAAIsHCcB0RYtfBI2EMOixAAAB81CDxwj/lmCyAACVigdHCMB0 3In5eQcPtwdHUEe5V0jyrlX/lmSyAAAJwHQHiQODwwTr2P+WaLIAAGHplID//wAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAIAAwAAACAAAIAOAAAAYAAAgAAAAAAAAAAAAAAAAAAAAQABAAAAOAAAgAAA AAAAAAAAAAAAAAAAAQAJBAAAUAAAAKjAAAAoAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAoAAA gHgAAIAAAAAAAAAAAAAAAAAAAAEACQQAAJAAAADUwQAAFAAAAAAAAAAAAAAAAQAwALCQAAAoAAAA EAAAACAAAAABAAQAAAAAAMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAgAAAAICAAIAAAACA AIAAgIAAAICAgADAwMAAAAD/AAD/AAAA//8A/wAAAP8A/wD//wAA////AAAAiIiIAAAAAAiHd3d4 gAAAeP//iIdwAAB494///3gAAHj/////eAAAePd3eP94AAB4/////3gAAHj3d3j/eAAAeP////94 AAB493eP/3gAAHj/////eAAAeP////94AAB4f39/f3gAAIdzh4eHgAAAB7M7e3eAAAAAAAAAgAAA 8D8AAOAHAADABwAAwAMAAMADAADAAwAAwAMAAMADAADAAwAAwAMAAMADAADAAwAAwAMAAMAHAADg BwAA/98AANiRAAAAAAEAAQAQEBAAAQAEACgBAAABAAAAAAAAAAAAAAAAAJDCAABgwgAAAAAAAAAA AAAAAAAAncIAAHDCAAAAAAAAAAAAAAAAAACqwgAAeMIAAAAAAAAAAAAAAAAAALXCAACAwgAAAAAA AAAAAAAAAAAAwMIAAIjCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMrCAADYwgAA6MIAAAAAAAD2wgAA AAAAAATDAAAAAAAADMMAAAAAAABzAACAAAAAAEtFUk5FTDMyLkRMTABBRFZBUEkzMi5kbGwATVNW Q1JULmRsbABVU0VSMzIuZGxsAFdTMl8zMi5kbGwAAExvYWRMaWJyYXJ5QQAAR2V0UHJvY0FkZHJl c3MAAEV4aXRQcm9jZXNzAAAAUmVnQ2xvc2VLZXkAAABtZW1zZXQAAHdzcHJpbnRmQQAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUEsB AhQACgAAAAAA8mI7MMonH54AWAAAAFgAAAsAAAAAAAAAAAAgAAAAAAAAAG1lc3NhZ2UucGlmUEsF BgAAAAABAAEAOQAAAClYAAAAAA== ------=_NextPart_000_0010_DD5B1793.F1C46C56--

[opraeconnection-owner@lists.opraonline.org Tue, Jan 27, 2004 at 07:35:39AM -0500]
Article rejected, un-authorized poster of pypy-dev@codespeak.net
as many of you probably know by now this is a *virus* so just ignore it. I guess we should either restrict the posting policy on codespeak and/or use some more filters (we are currently only using RBL filters, no content based filters). I am a bit hesitant to disallow non-members of the list posting to pypy-dev. Would this even work for the people reading the list over the gmane news/mail gateway? I doubt it. However, for the time beeing, i'll experiment with holding non-members postings and see what happens ... Anyone out there who integrated spambayes and mailman in a nice manner and would like to give some advice? Otherwise i'll just go ahead and try to see what i can do .... cheers, holger

holger krekel <hpk@trillke.net> writes:
I know the mail.python.org people have a system, so you could ask them. If you have any ideas on how to keep the corpus up to date, I think they'd like to know... Cheers, mwh -- "The future" has arrived but they forgot to update the docs. -- R. David Murray, 9 May 2000

Michael Hudson wrote I know the mail.python.org people have a system, so you could ask them.
Greg Ward posted the notes on what he's done to the spambayes list, from memory.
If you have any ideas on how to keep the corpus up to date, I think they'd like to know...
Yeah, that's a currently unsolved issue, as far as I know. Hassle Barry. <wink> Anthony -- Anthony Baxter <anthony@interlink.com.au> It's never too late to have a happy childhood.

Hi Michael! [Michael Hudson Mon, Feb 02, 2004 at 11:23:39AM +0000]
Actuall i integrated spambayes and mailman on another machine two days ago and it seems to work wonderfully. I sent a preliminary patch for mailman (around 20 lines of extensions) to Barry.
If you have any ideas on how to keep the corpus up to date, I think they'd like to know...
I am currently practicing having a 'spam' and 'ham' account where i bounce mails to from the 'unsure' category. any mail to those two accounts (or aliases in fact) is fed accoridngly into the spambayes database and stored for later scrutiny. Mailman just uses this database. Btw, I don't like re-inforncing the content-filter weights by feeding it mail it already classified correctly. So i currently only care for 'unsure'. I probably will implement this on codespeak in the next days and get rid of the many spam-mails i have to administer currently for pypy-dev. My basic idea is: if a mail that gets into the mailman system is - spam: discard it or maybe reject/bounce it which is nicer for false positives (but which is very seldom) - unsure: put it on hold and let a moderator/administrator decide - ham: pass it to the subscribers cheers, holger

[opraeconnection-owner@lists.opraonline.org Tue, Jan 27, 2004 at 07:35:39AM -0500]
Article rejected, un-authorized poster of pypy-dev@codespeak.net
as many of you probably know by now this is a *virus* so just ignore it. I guess we should either restrict the posting policy on codespeak and/or use some more filters (we are currently only using RBL filters, no content based filters). I am a bit hesitant to disallow non-members of the list posting to pypy-dev. Would this even work for the people reading the list over the gmane news/mail gateway? I doubt it. However, for the time beeing, i'll experiment with holding non-members postings and see what happens ... Anyone out there who integrated spambayes and mailman in a nice manner and would like to give some advice? Otherwise i'll just go ahead and try to see what i can do .... cheers, holger

holger krekel <hpk@trillke.net> writes:
I know the mail.python.org people have a system, so you could ask them. If you have any ideas on how to keep the corpus up to date, I think they'd like to know... Cheers, mwh -- "The future" has arrived but they forgot to update the docs. -- R. David Murray, 9 May 2000

Michael Hudson wrote I know the mail.python.org people have a system, so you could ask them.
Greg Ward posted the notes on what he's done to the spambayes list, from memory.
If you have any ideas on how to keep the corpus up to date, I think they'd like to know...
Yeah, that's a currently unsolved issue, as far as I know. Hassle Barry. <wink> Anthony -- Anthony Baxter <anthony@interlink.com.au> It's never too late to have a happy childhood.

Hi Michael! [Michael Hudson Mon, Feb 02, 2004 at 11:23:39AM +0000]
Actuall i integrated spambayes and mailman on another machine two days ago and it seems to work wonderfully. I sent a preliminary patch for mailman (around 20 lines of extensions) to Barry.
If you have any ideas on how to keep the corpus up to date, I think they'd like to know...
I am currently practicing having a 'spam' and 'ham' account where i bounce mails to from the 'unsure' category. any mail to those two accounts (or aliases in fact) is fed accoridngly into the spambayes database and stored for later scrutiny. Mailman just uses this database. Btw, I don't like re-inforncing the content-filter weights by feeding it mail it already classified correctly. So i currently only care for 'unsure'. I probably will implement this on codespeak in the next days and get rid of the many spam-mails i have to administer currently for pypy-dev. My basic idea is: if a mail that gets into the mailman system is - spam: discard it or maybe reject/bounce it which is nicer for false positives (but which is very seldom) - unsure: put it on hold and let a moderator/administrator decide - ham: pass it to the subscribers cheers, holger
participants (5)
-
Anthony Baxter
-
holger krekel
-
Jacob Hallén
-
Michael Hudson
-
opraeconnection-owner@lists.opraonline.org