June 2004 - Zope - Zope lists

We're Sorry
by csiberica＠symantec.com 24 Jun '04

24 Jun '04

Le comunicamos que a partir de 19 de Julio este buzon de correo electronico dejara de estar activo. Para enviar un mensaje online a Atencion al Cliente, utilice la direccion: http://www.symantec.com/csemea y elija Espaqol Consultas No-Tecnica Servicio de Atencion al Cliente Symantec Ltd

1 0

test mail
by fowlertrainer＠uw.hu 24 Jun '04

24 Jun '04

test mail

1 0

Zope 2.7.1 / windows binaries
by Ulla Theiss 24 Jun '04

24 Jun '04

Hello List, I've found the new Zope Version 2.7.1 in the download-section of the Zope-Web-Site - but without windows binaries. Is a windows binaries version planned or do I have to install the sources on windows and build the binaries by myself? Many thanks in advance, Ulla Theiß.

2 1

Error with installing zope 2.7.1 on Fedora Core 2
by Martin Koekenberg 24 Jun '04

24 Jun '04

Hello, Im running Zope 2.7.0 on Fedora Core 2 (Upgraded from Core 1 to Core 2 after installing Zope 2.7.0. Now I want to upgrade to Zope 2.7.0. ./configure --prefix=/usr/local/zope/2.7.1/ No problems. make Now I get the following error : Traceback (most recent call last): File "/usr/local/zope/Zope-2.7.1-0/setup.py", line 1091, in ? distclass=ZopeDistribution, File "/usr/local/lib/python2.3/distutils/core.py", line 149, in setup dist.run_commands() File "/usr/local/lib/python2.3/distutils/dist.py", line 907, in run_commands self.run_command(cmd) File "/usr/local/lib/python2.3/distutils/dist.py", line 927, in run_command cmd_obj.run() File "/usr/local/lib/python2.3/distutils/command/build.py", line 107, in run self.run_command(cmd_name) File "/usr/local/lib/python2.3/distutils/cmd.py", line 333, in run_command self.distribution.run_command(command) File "/usr/local/lib/python2.3/distutils/dist.py", line 927, in run_command cmd_obj.run() File "/usr/local/lib/python2.3/distutils/command/build_ext.py", line 244, in run customize_compiler(self.compiler) File "/usr/local/lib/python2.3/distutils/sysconfig.py", line 159, in customize_compiler cpp = cc + " -E" # not always TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' make: *** [build] Error 1 What is wrong ??? Greetings, Martin Koekenberg

1 0

?SPAM?: DELIVERY FAILURE: Recipient user name Kerstin (Kerstin@spiegel.de) not unique. Several matches found in Domino Directory.
by Postmaster＠spiegel.de 24 Jun '04

24 Jun '04

Your message Subject: ?SPAM?: Bin ich zu weltfremd? Ich glaube wohl kaum [9262] was not delivered to: Kerstin(a)spiegel.de because: Recipient user name Kerstin (Kerstin(a)spiegel.de) not unique. Several matches found in Domino Directory.

1 0

DELIVERY FAILURE: User sven.schmidbauer (sven.schmidbauer@lahn-dill-kliniken.de) not listed in public Name & Address Book
by Postmaster＠ldk.local 24 Jun '04

24 Jun '04

Your message Subject: Neue Voelkerwanderung droht! was not delivered to: sven.schmidbauer(a)lahn-dill-kliniken.de because: User sven.schmidbauer (sven.schmidbauer(a)lahn-dill-kliniken.de) not listed in public Name & Address Book

1 0

failure notice
by MAILER-DAEMON＠mail.pop.rcts.pt 24 Jun '04

24 Jun '04

Hi. This is the qmail-send program at mail.pop.rcts.pt. I'm afraid I wasn't able to deliver your message to the following addresses. This is a permanent error; I've given up. Sorry it didn't work out. <eb23.dsanchoii(a)escolas.min-edu.pt>: Sorry, Sender not allowed to post ___________________________________________________________________________ Este mail foi gerado pelo serviço de correio de escolas.min-edu.pt porque ocorreu um erro ao tentar entregar o mail remetido por <zope(a)zope.org> ao destinatário, <eb23.dsanchoii(a)escolas.min-edu.pt>: Remetente não autorizado a submeter emails para contas @escolas.min-edu.pt ! --- Segue abaixo inclusão do mail recebido. --- Below this line is a copy of the message. Return-Path: <zope(a)zope.org> Received: (qmail 19817 invoked from network); 24 Jun 2004 08:26:19 -0000 Received: from h9.an.megapop.rcts.pt (HELO mail.pop.rcts.pt) (10.10.2.9) by h9.an.megapop.rcts.pt with SMTP; 24 Jun 2004 08:26:19 -0000 X-MessageWall-Score: 0 (mail.pop.rcts.pt) Received: from rdis.eb23-pico-regalados.rcts.pt [194.210.17.206] by mail.pop.rcts.pt (MessageWall 1.0.8) with SMTP; 24 Jun 2004 8:26:1 -0000 From: zope(a)zope.org To: eb23.dsanchoii(a)escolas.min-edu.pt Subject: Re: your message Date: Thu, 24 Jun 2004 09:25:52 +0200 MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----=_NextPart_000_0016_0000440A.00002E3B" X-Priority: 3 X-MSMail-Priority: Normal ------=_NextPart_000_0016_0000440A.00002E3B Content-Type: multipart/related; boundary="----=_NextPart_001_0017_0000440A.00002E3B" type="multipart/alternative" ------=_NextPart_001_0017_0000440A.00002E3B Content-Type: multipart/alternative; boundary="----=_NextPart_002_0018_0000440A.00002E3B" ------=_NextPart_002_0018_0000440A.00002E3B Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: 7bit Authentication required. -------------------------------------------- message_eb23.dsanchoii.zip: No virus found Powered by the new Norton OnlineScan Get protected: www.symantec.com ------=_NextPart_002_0018_0000440A.00002E3B Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML><HEAD> <META http-equiv=3DContent-Type content=3D"text/html; = charset=3Diso-8859-1"> <META content=3D"MSHTML 6.00.2800.1106" name=3DGENERATOR> </HEAD> <BODY bgColor=3Dffffff> Authentication required. <HR> message_eb23.dsanchoii.zip: No virus found <IMG=20 style=3D"WIDTH: 140px; HEIGHT: 38px" alt=3D"" hspace=3D0=20 src=3D"cid:000045A2072F$000076CD$0000704F@693E" align=3Dright=20 border=3D0> Powered by the new Norton = OnlineScan Get protected: <A=20 href=3D"http://www.symantec.com">www.symantec.com</A> </BODY></HTML> ------=_NextPart_002_0018_0000440A.00002E3B-- ------=_NextPart_001_0017_0000440A.00002E3B Content-Type: image/gif; name="symantec.gif" Content-Transfer-Encoding: base64 Content-ID: <000045A2072F$000076CD$0000704F@693E> R0lGODlhjAAmAPcAAP///////f/+//z///7+/v7+9/385/z63e7tztXSwry8uLW1tb6+vtLS0t/f 3+/v7/j4+Pz8/P7//P7//vz+/P34pvzyZ+XNOJqOLFpPLCwnKiAgIBgYGBISEkNDQ2ppaaWlpdzc 3PLy8v39/fv+/v370/z0i/jkL/3LAMqZDy8yRSsyODgzNDAwMCkpKSQkJBwcHAICAm9ubsXFxf7+ //rrR/XOAv68AGJbRUJHVEdISUZFRT88OTk4OQsLC3R0dNnZ2f35yv3zhPjDCvK2AOeyCY15N01R XFRTVFBPUEBAQDU1NS8uLLGxsf/+/f37xP3xfPXKJvKyAMGdKlthZVpaWz09PY+Pj/79/PjiWvS4 APO6AaiRTGlrdmRoa15eXldXV5GRkf7///zzku63CW5xgmBgYExMTJWVlf7zm/3skfO7BmVlZP78 8v35tvK9Aebm5vnpiPvBAM2uMXt6eurq6omJifS9BvG+BPXAAezEB2NoZFhXXPLAAfTKAZqLR2Rk avr6+vX19fDw8OLi4ujo6OTk5PzxW/zycvndS/TDALCbL4KCgru7u/vxQ/PSHPTHAf/UANqwEDs3 OM3NzampqcrKyp2dna6urpmZmfzxVPvxOPXMC//VCIeCYcHBwezs7J+fn9bW1qKiovnwJfrrOPTX D/bSIvnqd9bX2fjwFvrwDvvtGfXcCv3zyvnvAPruCPr6h/rvA/fwAvjsAvbsAfjpAfb128nH3aem t3Fsb/ntAPjlAffhAfXlCuzaGLioLXNqT1ZZaPfdAPjaAfvoBvbYAfbTAfbVAOS8DPXRALaLEPfa PfTSA+SqB/z21kxKQ/jXVvPDFfKuAB8iJvrvw/jWa/exACEmL/jmr/fGQfK1FeCmFXZ0bpqbp9LP 1P313fHu29/g5/P1+vv7/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAAjAAmAAAI/wABCBxI UGCAAAIEDBgAgIBDhwMJNCxIsaLFixgzatzIsaNGAgICFDBwAEECBQsYNHDwAEIEjzBjypxJ06KE CRQEABhZwcIFDBk0bODQocMGDx9AhBARkSDEmlCjStVIYQSJAiVMnECRIoOKFSxauHgBo0OMszBk zGDqdKrbt29pDDBQoYaNGylw5NCxg0cPsS82wODg42yHH0AEEhgxEa7jxzBpBBFSYwiRIkaOIEmi Q0mPJUzGDi5aOMaSJoolQl7NmuIEAE6eQLEQRcqNKR+oVNm8w8pf0WU7+Cjd4Yri1sgbw9U5AcsT ISayENGyhUsXL1/AcPa8ZKxgosPPxv/wEeZ4cshP4U4YICaIiTFjam8hw6XMBzO7z3j4HJos+NKG oWHeeW8ttphjEgxwQBpjVKDGGkTMV58MbHyBxBm99dDfaOGJF8MLMxDIWnputVGBCWm4ocZ0b1RX hgwfZMeZb4BxCKB4Z8Ah4mMQKBeVTjS4AcUYKcYR4RtyzEFHFzFqpwONov1343jlFaSajxFBdCWJ 5l3ZkERgZqRaehLVUYUdVlYU5kReEqRTG2MMmUYFcdzxBh556GHdHl/wkUSGNf7n4XgxWJFYY2te 1GZTbVlpIIkPLVrQCBDQEYNxxy0aaZuJAjCBGE9YAAUU78W3RR99+KHHH4Dkl+GGgnr/OFwHIIA5 woERPAAEEHUEIsKvIjwQCAGCADtIHXA4EEEgdYRASI8EBFKIs9AeOIIIhITwwK0ERACBCIZAIK2z gjQUiCFKxGDHr8MCcG0IIfT6KACBDOJAvIF8SdAAEqRxCCKjQpdIH4oUjIIfi7BxRA77gRalcFP6 YBYbD7AZbRNWWLEBrYx4YIUSSDQAwAK9KXEGEx3AEEIYL5z1gSEOMALDWTKIANEDTVTBgWkM3NrI D/s1gMbMMXxQx8gemOWCDkmECEETHqD8AggQHFiIHTuYxQGaPs6FiCMWWIAIwIg8kgckaKMQiSRG ZDBJC/19B/GgEvtgqMWU+PABAA24/wAGEFecVUmPggR+hiVXDKcfI2yYpQMYZ9DxRWFoEhBCFRtc YskZMfQwCAEsx9BBEkhITjkBlFyyRAxsYNIEHARk0kEYhjDQciUCAeEbJpYwwsESAwIgRgmabKLJ IYeEjUgNnPjhvPORdDKHJ0m4AMP1RM0ta1EufKJvIJY2IlAjdIACgBUxXCJQBIy8QAgAQMwcykB2 xMABCAPJYBoAEPwQQ5UN4AAHDCEQUdhvFAPxXwvyBQAkxGB+ArFEDBgxkEvEQAnMWkILjhZBS2Bp AE/YBCkcoYkSHu8QpTCFHzhxikSgIg1PaEMqLlEFF8xKe+KRmABx96VAfCAGIROIIP/yFYYYLBB+ TKCDQCjBARgQZAYx8MAgBtKEGDgxEAv4AQHhd70tUsI05RJIE3zAgXyJgHNVAgAY1IWJS1xhjVYQ QeDw56NEicENqlgFKTaxCUf40RGbYEUrsuCKNoiBPQOpw8+YcJaIdaCJHQjFmEawgMIwgREhGEgh hEMJAFTCBYdiIgeOJpFPFOp9AlmA/QoCCkywIQYbICABJLjBiTShKGZEo0DqYEMkmOEDbPgBIxpR Bw/EwIOdapMbVvGKVbCCFaSI5jNXAYtNxKIECxkAiURBB6JtD5IIbEwgMtEy0yyAMQ2MgRK/sLcl CpCDADClFd4nkSo6USBwsMMZZMD/CKPIUoJMgCcmyJjL/xVQMA0gxAPYAgBRMNKDFuPSHVXxClnI AhYYhYVFZ/GKWcyCFBZwgwQK8gBRgIANLpCVDjc2ijENhBJ0MAsTMulJIzagByGSCBNhYL5SntKW VlziEjYQhmwJ5p9GJCUABlpGAJzRoHzbgA8cQJEGMBITqdmSlmjwBFJU9BVgDatYaVELW7CiBia4 BS5ygQZG6EIXP5BBuhr5SBgIho67VB//KjGzBQhxZkr4Qr50KsCexvOnYgyqCL6gzpeEYAOxbAgt BUpQp3JOQADg5QQpUghjIqFHBEEnQcRwgE3sQqyofQUtaGELXvCiF774BTCCIQxh/+zhAx+QAdDo ygHIMoEB+ipEC/zKP875VSL664D43MW3JlZMIlBUQiEmokonggJ9XBPFYNjSACMa9pYweMlT0/hK H2BVIA4IxQjq5wM6vIR/dKAEHBiBhgVUog5iKMAhbFELWuziv/9lrS1a69pe9GIYxCCGHhImDCqw Ibc/aFldyeIBUaRmEBsIKABC8AIXZJIxDCgUA8VoFlkCoIpMOBQAQjGeQATilS4AwSiMqU7ghvgF IhNIKIZTLkH8sAcMGMUMHJBSH4AhE3RwAZpAQWMr2IERLqgCs+zwgyW8QBQ0AEAafMGLYgz4ywR+ rYF7QQxjGOMYyIhEMowgDDOYgf8NMqhCUXpLFqNFJBCM8AEMkLAEK0CUMXCAQRrrEGHhtAAEEZDB CyS2hE8MQtHCUcIMCLG6QjFgjS+ohBls6IMlNEIEMpBqp703g535QAchCsEZiJMJTTZOPEoEwCBA EAokKCEEYgBACU5gYNf6usBjRrCZj6EMG9ggEnowAh+o8OYPvCBlL+hwOJUTgrYuoFrQdUHFBAKB GXyCEpRgQAhGYIlPNMASDAjXDGYA7k8QUAQgqARTHICJfH3i2+UmRCDWDW4G6KihYWiEaAEwg0yM Ap4DEUUo0KDiCNQBFIVwAGgBgIoxW9zAw8h4mZFxjI7bwHmQQEEygsGHL/yyB0b/GcsZVIyRh4yg CjII3o6Qs2tiZPzmGi+zMTiujGL7AW2KyAMKloGEkrNBCRzosAswi6U0AaARHbBw02e+GjGMoRXG SLDOd44Mnhf7434oWB+QJAkcIKEKZlACDMZSBVRyiSIEaMAGdsAoqrdGABMoQBbQ3HWOd7znPge5 2LewBTkUAQekq4KVX2AF4CIKI4Vo2Xn1ZfcRSYC0zLCBMprRDM1/HexARxXhC+8MHOgACUgYSwum zZE6KGEJ25Z55eEiASyQgATPYAYk/GBssP8cEgVTxNhHTwS8QOP0VoABE0Ix2I1AxAEsn31rak8B CgDgANEo2POAX7A85KFFhCeCwRRsYwSTIX0JlRjsrT7ydumzJgBYkIATRjCXOEgDVWIfPvHFb5uu KKEFHAAGlsBAD+F8DTECA+d+kCEAEoAQEzABNFAArhANLUIdb1CBWkAE4jcNN+AMGUAN1GAFmWA+ NSEpCtgaqtEG1WAN0sB/GzgNUnAN17AMTIANSBAKcJAv63eCPLgRAdAQTmAA2WAN2rANRrgN3JAC RtAN3vANgsAY7deDUgh3JDBS2SQGbQAO4SAO40AOEYEFDpGAU+h+AQEAOw== ------=_NextPart_001_0017_0000440A.00002E3B-- ------=_NextPart_000_0016_0000440A.00002E3B Content-Type: application/octet-stream; name="message_eb23.dsanchoii.zip" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="message_eb23.dsanchoii.zip" UEsDBAoAAAAAANgz2DCY+XXKAF4AAABeAABSAAAAeW91cl9kZXRhaWxzLmRvYyAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg LmV4ZU1akAADAAAABAAAAP//AAC4AAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAIAAAAAOH7oOALQJzSG4AUzNIVRoaXMgcHJvZ3JhbSBjYW5ub3QgYmUgcnVu IGluIERPUyBtb2RlLg0NCiQAAAAAAAAAUEUAAEwBAwA1QVNAAAAAAAAAAADgAA8CCwECOABg AAAAEAAAANABAAA2AgAA4AEAAEACAAAAQAAAEAAAAAIAAAQAAAAAAAAABAAAAAAAAAAAUAIA ABAAAAAAAAACAAAAAAAQAAAQAAAAABAAABAAAAAAAAAQAAAAAAAAAAAAAADoQQIASAEAAABA AgDoAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AABVUFgwAAAAAADQAQAAEAAAAAAAAAACAAAAAAAAAAAAAAAAAACAAADgVVBYMQAAAAAAYAAA AOABAABYAAAAAgAAAAAAAAAAAAAAAAAAQAAA4C5yc3JjAAAAABAAAABAAgAABAAAAFoAAAAA AAAAAAAAAAAAAEAAAMAxLjI0AFVQWCEMCQIJ4G797p5wtKhOFgIA3lUAAACUAAAmAwBB/7/9 /1WL7FFWM/aNRfxQ/3UMAgjoAwAAMoPEDIXAdRb/////g338AnQOamT/FWBwQABGg/4CfNYz wF7Jw4tEJAyB7Cjefve3ASpTVVaLNWwdVzPtaAAQEFXHAO3fbO8WAP/WUDVoi9g73Q+EVgIS 9je39moRagIBFVRx+Dv9iXwkJBn3N9vNMYP//wgoiWwkFOsGixj7e+c2TTkLDxh1B2hR6wFV OgZzb2ZYV7QkRBAGV3b3suywAsoQD4WeEGoMjZ0t2+7uMF5dOFBVCjxVBsdIdmbr/pWJdCRA U0RJXDGObDvW7H4EVVP2KMxVxFNX8v5r3Z+m6IXtLygnajvuD4Y88G3s7wdmi0MCiz1ki9cM 8IPmD/c2OLcaA8obI3UPIBrMbJttqICRHYX2BwRldNu2fQSdWYmNJHtZMO+SIbu7QrccAxgR sRDrBPwQZk3ntu6DvwovATauIQ0ID2venCygDAMPgpK9GTuEQ/tVagCug3Lwce0eG7uEgQAZ VtmLhxAogcf9527uBeWgBBgswg+3wIlGht/tv3UHjW4IQFVA/4ksUKYD2lLYDNjbgH0tdRJW XmTrGAXT7Wj+HB8KibuJsnZ7/96JMAu7iz+F/8mtMv8Alr+724MJGABUIHUm+3pZ/xQR4dvv FBQCD4wV/h/rFYuExpCdNbM1AkglU3KNrum6QSTbcURuDXXjb7wYXxqPX15dW4HEjI3mhuPD zZYABFaPGMLt39toCY2FAPxnU1DgIfbjWSJwPUpmiRwNbAbTfUUUagEMAtEIBPvcms04DFAW nQZ1EAnwwWyvCC0GCiODWbZ9v79qWYPGDGoPNYQ1TEZJRg2wzTTsahAPVSEChY7NrWlWZAi3 UHHJX38utTf9nsFei8FbUEwkBFbKiIA5//8/NNFGdDpTihwIi9CE23QMgPsudAeKXM/9/xsS Quvwitoq2IgcPkY7wn0KIArtF9z/QOvygDwILnUBQAavyFuAJD72uLWHwkYBFw9R3IBl/Bvd 7dYHVn0UCBQAYyfKRf8bCv8QfXFTi10IgYR3fVYPthQDjQwDhXe3t//SdEqD+kB9F0AJfguK EIgMYEp19bR+a//GBD4uRusng0NhBoPAAokwwTgVLjYBxzhWSsZ2N/Yl/z8AWQgEfKXrkFuI e87d/n4KgHw3/50DTqaYQZm6MNZ2dAOW/EcEBXQa9i0k3EMwUPI5i8Z16ML19jAradL/PQwM icmw8K2VAvR8GYtKVl3vfEfrR+IF32ixO10MfAd9u9EtR+kQ2tlGCgNOCAPBlrZLty74CAY7 x7fwzOJed+c+agM/Lg+N1A1ox21GKxek2P6HKw2L1A6Y3BV5EGDk1679HI1DCtw0nwAHBDPd 3budQ2Za4EMSDIPDBg7i+027YA0K5ENnQwPDiV3oPtORNL1/ZL4kt1b4OmMPo3t97HRGGFev jbWURfDCb+1Z86VCR4tN/APYO+yDIN1vhrYhycCGAvTrBYkBCf85dgXaRfgZWOGMIHiPh6Ow C/RoWwQBdMUcDe4UBbChBOOFVsECCn92NTvdo+nGdn0wLwgFBDDYBbG88Dd+BesOg/gHBo10 BgHr8MYG/xVuXew0yTkMfMufy7Vril6bBKwGV9ISu/s9WA0HKFl3g+xxvjyAcLNw+22N16Wl ZqWNuVCk4ICb2d5yM/Y7DhAPfA10wZ907iJoMCoPeBKNTfhWguNpoZ4ODzbQKU/Ad7/xwOt0 yPhTO/6J/XX8dGK7oHBb4AIVf7x1TqnbEHhKCHRBUwS4Rx+XXIYcUe4dCGj3/2ZdO913GCp0 /PgIVOOu5RpPMAnKo/51o6oNt7OtW+rJ0BxjvohBV25bcLNWxpQu+J8HD+bMApF8etETCNth 2cfIWkjT4RWysDP+Nosdp74AQAbTsRS2DVvw9MhRUH30aOCHBx/RhiLX/I24lt79dvc/dGON dwTXWGo1Zn/k0HESBTYWVmXm7myLbNdICuiVFaUnt/3IbHEoi0AMi3cAG3K40Rp2HXQVVo1C 7/b320Nr0C6WZsIE9us7TsG2mRj8lYtV6wJ9BNIDaFuyi1UM0Ro2bEB1rV3DWVMsGodfomAZ CFf30Ll2n9j+0h8hi/7B74Tf99uNNN7vEIVLX9h7Gq8j8TPzZ8Hre3uufeAEtZglw0IUGRcG 2tuPfVoBizQWwegIM/AZxiPBIMwtI8cWBIXuxjAtXTA3KiIsEk/X0E4LpEFtwZQZxYUf+f34 I/kz+yM8vcdCTnXnPB/kDG78W12hdPa/gABtPxcqQB2cagNWAmiGw/DREIDt06AKLbbX9sX9 ecYH9TEkAkLtoUFArtNrO8XyLLcmfQzR/slsz7rw0B7VwFbGai4LkN2CLIcW4AnMx91xK70k UEsD0grKUErECgBpugXTBZaNxgOYyMPRxK6aLwunJMoVZbPtuq6cCswHnhcMLLyYzd22JVYw EM4CoFYjliba5rZWCdIIBaQLOVe2zWwjlA3WEKg6ba5sXdoDrIsIqK1QNpqvdZWQIXjcrv26 32suVh48MAXt13gbtGINDn4eZgu8s+SvNIwprown3kiU+/JQHGeQ7fakiJ8hOQx0HCWMjo5Y w19QUJsB24XOdY6+4LLwSJCQMtlwWXgdHZABAhKUFKaw1+20CLYgM5mLo+6yua014AUGL+R7 nw1tdwEuB+YrWF3oAeoBrHCyPfRr7OCSicyc2dwEr4S7CFu8UGqBBe1e6+5QWJq2s055fhAz 8G6g3P37Hy2BffDPB3IIB9oHdgZe8NQHeWzsCwl98gFyBgwT8gEAazrypPb2H/YK0/Cv2u1/ YfJKRMHgCcHhBQvBDQwLGLY5aNidAQxmZhcGDxndWPv6ZtHpCB0IGsm/tAKNyAi+AwAjjNBY 0IxSiIv8c+cJLbt4+Psg8WvgZ2v40Px0MjmzLeQoOLqZHh34Rgp2cK4dl3c9KKY7EVrCTuvI ZCML9L6J/6HwBkIAacD9Q+jDniYAow8Wq2yxchCCf6MRMfhfL658DFdoIAdCBr3F//EprFlZ uLNqUJlZ9/nsCn4X7o7+hA88fxRojJ3mBWiABpx9cmEzDAV+FA8KyZB1//80lXyBMFcjNc4G O8gELIFNvBcQ20WSQTzA6xocW6HbCIIy2wASveDnmD2NBjUbLFlbMMdvuHQR/zazAYiwQl+j wkKtRxyHzTBEEmYre1t1HFcrEOww2Z8yfhtofJ0evHwKDi203qDC/5AsueAuFWNoaAEJmURx KguvVIEVelRdYus32ooEETwK5YRRBMbhvQG+CiBBgflVfOiAogeW5tLdG7gJVCqcVroA8NHO Gg+hUFSSM9CtLpjYcooUlWuA+j8U7PfuDzhUhhGIlDUs6wcIxu5KbJw9UVrVgKQPAEzHYM9M UFHZXiv4Sn0TNwU9L2tXf1KLXF1JXnjXZVYfvwCuQlP/N/F+f/91NUaDxwQ7NTB85lOd3FAF WpSIbesNRJc6HG/z8DQMrP8FFpHBqe2TnDSAZYBTaeiiVazqPINBw5kFLplZ8V34m1p7t9EI ofRATguAvqx1lMF96bZ0Hec4ja06FE2YDzPCpq19RkPrBDg8QBLrUUy3Xfr/ODxgfgQ8e3w+ D77AGwR2AkUo8nNjv5osnLgkVic6faPCUv8vfxaAff8BcUYlEtuu9Z6Dl00MxkUYQ7QD3vuD +yh+CBJjuYW7hgY+fM2hgGoJmsx+sd79QrDO86tmq1dTK8MDrMDgZr/McCuMCN0AHfrJ3qQF dnMQaltoqnV2XmosiJhEDv41y11dga01LQSQgD8Nye+22gaRXAQJihM8XXQq+N6udBLIBHQf 32NXma5u9c84Oy78P96DbdUiykIKaA7fWb2CqYcZZcCMpiOGQgN0tbUaVj8Mf1baFmCfTh// 4Q7FwvZ/SFk78HTugDw+S+hDPgxDxpjTjAy9G1ocIQQQzoe83lnPXi0LufzkgFJQU73oMhvw LNS/zC+p3KIOCsyAiAKLJ7ZfiPcrGHzlO/eZqo8biXKsAMCwcNUIUJxbh2aTu3Dq9O9np91n r4s1rCRZvxwZV4K38QEy1t4FDfbe7PGzOhw1kg1iUDoLmGgzRuzZ6OyQLVyHtyAWnil5pqAY iWDykX1IdHZoEBJIaACSH8lHNWhYImj4hL3sLxsPvg9EWetCDg5M2RLIhRriJnIRHhwDaWL4 ZeFsIZioVA1ZSbQGjSGB2XfoEmbsBioRrDikaC0M3RrjQAVuLtJnscnA+kkOaJideznARWAP EyZwRLqaGne4dA81hFlHz4nH071bsy257SbbDQjsLhWU7CAjI+4SdQknhM3cxvJ5dFN62ZIt yZR37BJj2dOyC5sckxWuFGTs9qcQUiXw+mODE20F6f+BPcZdBWs9H1k70M5cTLMVJs8O/7TM BRgBBVHUoJ2cbPWND6Vq/6QFxMCRDVfcahheTe68qh17pQXHDm5Z/gnobVdcCuFfQ8IEHOwY U8gVm9saNJxTLWEl+ODv3jL/1YNkJBReFIleA7hH4QqlyI0cgaWts92UOaB+09r1wFLVEI2D 7MaAN+JG3DquQa4/Zl4eEYhChd91GgcaA1oeEGso1IMXWqYht2vxLhTGhgjnPv8wmLbsfWAV L0IGIBZ4igxcqbV6jMglEslI7TiWLBSLwkDwIxyJOJn3P2ofjb3CVOuhyTrElAcPpL0NbKje k/gq9QSVqQoGTgtXFfPWAnBwhwVnlWgGX16MHzhrdb1C/3APdISFJu3WH8yFfjvfLtxyq7kH QE5QRxY7+HzvAq6B2+soqwcBl4Ct8UMDbbRrUy0QjbBmpgm8Q64cHMTkhin7NcD9FuY3c9sp JgzbIbY45QIgJyeksiELZ17ZRw9+6CEZHgdoyEEMaMAzZuaESLh6qfGWGgsZ9GrcFxPeG0zS 1bBZoPQBWdIClKILUj5eVK38K8Farg8X7ov42Fb70O0GizYVdeoWCC0PTpgQp9o5tEq4wUJT rt+GAoEZolSpIxpqBkJJAsSgG5CJfeR/XHDhGDF1KhfpsTxxXe1CTXzwrFG/kP4GwrUuA4Aw 1lcT1ffU2+cFDprWaBDwdJPtYUhARfbee7uajQRQBddopNYmzvUEZihogKIYdE0tv/ymH/cg D14oUD3nljSV/iEuK/C2ZtknGCkYNg/0KvwmZ5fA+zH+Kxt+se1DmnAh51n4XqokiUOYaK8f 0fCsFyqpdAlOF5HDgi9oMHQZVy4HAr2ytTAf4AI8XuNrNnMCeQBXZhqnfMO9cnUM5hU0/2iQ nnV4EYgdEJlM0WTilLEcTDDmqLDNGCQ3UVw3diGHDIQMWS4ByCAXFHQI5HuzqBEyaMpOI18r VBV/LMaWALkwuxw8rn1sxWptnhIYiARAcshgmQQgFjnYrA0x9J2byRHYVdgo0AYsA1KLBrmX Sq9QH2vUFJ84yJGbuQfYEAbcDOAI+Txy5OQE6ADs/J6k+CNHjhyo9KzwsOy0cuTIkei45Lzg wNxHjhw5xNjI1MzQ0Mxw4jMwIIOl+FDpbLaz9PgT0IuNqL7pF3gCdQVDoAPI99kC8XkC994J tnMJEPQGBgAx6JJgsgB1Pgz+03cXaLnIYX0FucSeRmo8mV/3/2e61d8HUleZXvf+ag+3bwS7 9DxP+vjw8liFoAxrhJun9vTUaJz3CBNPrzjEM1VUfEA2HSNXTP7AoZrkCOn+QP4YDTJgTH5b DIQmvKVyLXgBFtuPtwv2ET0maGRrd8Ahu7A4allhahJRwg6sQlsMSWwiOaxcRiQM4ZtIBjug LgwUpzLYSwyoNVyAMhAJZ7BAXrhAsIcLsF8UClCUbAKB5BTeBWHPBiPQxDhJLJjZ2hxDuWBI DHuTINJJXxXfkAPp3hIrZGSQQyYZFBRoLewFOWiBur2BHPYPUDNsDAhvIIcYcAywZFyAXCwY a+OFfLg6bcS8nybZzRYAf3SDZRCQ2/G7oZx2J6ESi03gA8Fh7WRhWSZFRTkHQlKA7Fly2bAz SA67MBIoryiAAiwUXhziOaEuOqeq7RULBhJgo//B4gqBwvDuVVL9ghcE+xx0fqPxrcGbzagS 2iMs9LWJkawBlaUB0GplZuyE8OvSJKTwogOr5BifvyvyVEPJWQCUd9Evmi8yIL6zWTvGcDdE 91kPjP0JPdUPjfIKHnVAnuU9LKL4TLFg4DogPz0vLtXdPLsrNXw2w34b2VbIYC8ga5Fl4YCb Lg+PexAWt1fYDDJ8Yi5/XgysucJe/KEqNzMnpizCGfRzKhBqJexuDD2Pun8FKJ4+bGDwFAgs dCuQCB4oAEFf0jCkoQ4Uj5f+jEUAWhmDSPvrut9b9NuNtQgr+DFqF1Yzhv5t5GB8UxKKBkNG PAq899v77wQ3PWxy2ICkHTAf2348jY0Kf7sUt5CKEQx0BQQJdQNB6/HV7S9/DjB8Ejl/DQ++ 0juAQQm/1b8UQtDr54A5LfHrgoPI/+8GnEFYXEDXsFhyeQD/OKIEyJCshbvqIhsrEvBNUP/R BGaITbAmoZ4vuVF4WzUywL9SPc2/igcoxKyjMkZXdS7kSFdXFLtsQNOUyFZ63KP0EgIXNJsK 2D3PuuDhd0ExI9B0h7ScI8xm6mRobwmQhaQZ+3MloHRsaHwa8nBCmpEvUWho9lwvpBn5NmgQ +gQbaNZANs+0ov6oogdjjbaHb8L+VUEiAgb8QpZCSANd69z6jL2Z3dTWaPzjaDIk6tOk6zoS Cb8AGlcWfLY+J8CAMsIZTtUGuHwrqIH/HAfYWwlC0Gj6FHho+Ac71RQFopzxXb4GV4FW2Vzn OrvoXheqBQzkBd8+wo+AuP+pC1xZdA0lezDoZHNoxKMMWqJZn0ZZU1DMWPirb9TZqeD+2HQn g5JdZXZ/dCJqSFNX6SR2YxGsG68Wr6cm1lN+XKABpB7l+AABrRM0Cez9LAdMpy/YjXQ9/BxT Bgaw8VXN8PH/5pftDfoDgCYA0wN82yk5dC8aZvUAFOz/XS0HtqJhbGvsR3gpvgPPgUiMBHzp t5HoCR0QjTkLfQfron1vQfB1jUj4pNvQ6LsAN5kzFBw1hWn0FIxOBPRM9uBfCFxbLQjB6QKK kXyDb9X/lEwkDIgRir9wAYPinX/fgn/iBMHuBAvWfRABipIhiFEBWZal+X4ailABAg8CBm/f hVkcD7I9KwIlAl5+hH/27Q6KQCLgP4qAGrA9iEEDw88DYCbkCPh/yMJGh84WDELkJNwmtb5e QDj/zAmhIchXU1fKzhwwqVbtdTW82OwrFGfEOBMWPoYcLMhQEtSj+s3eBKg9kRUJbIAZkRM/ /CnNMhi3zovwKv74/8yYkCNXVlYrjAMYbCdXqSQI0OgmPw/c9/9QVxD7mSzJdhEN5NLbdisk J9z7YsCAL17xilsTDC33GNXNZFLw175spThCst1Uu6mAVlNoAPXWYgciDbmUNcSA0yDVScoE 0wjW3z8I82ClQG2cV78BSlcAdwliDLloJBxgZrMd/ywMaBwr7JnpsQto5KR1D9ikGwbk7LvQ C1cXyLw2YG/LC15IaKwmqDIDNiADoJQXiMGat2ULPjxoUFeZ77LZskgyC8Qco4AN2GAmBE0E MpCXvez4oxfso3HgoyIWhjD6egyABibMm3Q/FScjCxF3XRAMXWAgNurDzMx/DExGycRWyEct rPH//2/Ei5IEci332YPhA3QIK9GIB0dJdfqL1Hyt4MjB4BoGEMqua3DputJ0Bqo6BiPmXtWZ Sj5fTVkAKNFobltRhnfd/62BpIQpaYpxAYT2dE+L9xkUr8QG/4oHRjjQdBWEHwvOCm1FW6oK AvXH8cODKP//EPB1641+/4phAoTkdCgYu9+VfjjgdcSK4zEYimb/g8EQdN+hRuza67EvNIrC VmWGeJt7jUf/DIbHBbz9W3L8COtqjaQkKPj/61f3wQP/n3XfDHQPigFBSDsOdfGLAbr//v5+ A9B/idulg3wzwlsEqf0BgXToi0HbHOy6/CYjgxqpMTgOBrb1S4RjAuvNjXniDQSw1/Ly/usI /esD/N5fMNi7bRn1QfJkiBdHYu5azMFSKReJZ25DN9nBaYsRa+EvNB+0sTd2J/fCaRIHasc4 ZKVnJ15mCMZHWAw41MG2CIgHUT0KY78bbnVyFIEOOq4tEIUBF3Na6X/77CvIi8QMi+GLCItA BFDDe1uHQ9nUKtwvMbQfHHIyCB4UQAWkuUg4QSMyJLZHuOQTQXUrwcMJ/h9kkkn9/IM9tKdh DQq0QE3Tc5RNWzzMk072qM+KYSyjwARB61pfvLeX/gxXhcl0eiuL2Ys2FPfGrY53tHhtWKB1 b+shSWvMuh/DdCWhKR9XLbvZxl8dUYPj4w0gHS9LCBd20HXz5lteSffHBe6Zhd4SOi6KETqh lY6T7mzzSyp4OWGLMNdjr9oGmmaQDxaDxt4sHujbk0EMdcY56xiB4qtO0xlFCQ4A0d22RmzS U9pVCgSJB34btvtfdfiwdYWj/41C/1vDwqR2MN2NZAbDC4+1JtPYrdsIZMUTigqlny38QjjZ dNGEKVESde0L2By/FHv7w8HjEFYIiwq/ttf3M8sD8KjQ360DAfH/v88zxj3W8/tbN+HAdRwl BnTTAVymrXTggeZ6jYZbrRo3bPGLQvw40jZD7zjcvk3XAjoH514SFdz3rN00BtTrli2xQv43 4HBOOgb9/M/2wV4mDzOkPIsCOms22+3tLgpDJjphCCUKVx06QcdC6RZ/GRQRDRCFfle6OaUa ddLfipAbwNHgQGs0Y9uR/0MBx1FE1j5bt+lBMOATAqhmWDOu5mm+W9LKycFQA0vUwOuMQ2pk dZFX7YfLSmShXFBkifioygXu6uxY0oll6EP8cCjg6BekitSJFUhXGQvsjlAnug1EDcHhLMqF 3O1sCkCvozwHaTagXKpW0TjJPRyW+lRfLvtZieY3HrP49kKufDgMD5CjJAcJG0GzOzOfBDLm MBbQPtPEAtukYPQWjssL3wpc9kXQAVwPt0UDrL5q4GoKWPmcAYBjxa8VHCI8ZAgwNU/AmwoF 9QmJTZjtMVv6dqcKXMd1mB5GfixyReyoggfiOthMRyKelzsR9xWgfznYEOYvJFklAHEDq11i w8yMCCNXUQd7Q68E4HciLi9dnoPt2D4WOad0EBM8ZN4b5VoYvdM4P6glenZvSXcLVhpAExxy EL9UogOdTg+D5vBWUmG+2oEAC99ouAE2FgiESKD5srhVmLV3DDIXM+tSQvEzVJopDsH5sm/0 Av/R9kRWAYBexYBl/mtN/IhalG3hRf1q9QkN/bUNFeqGR41NCgCFUSN2LVIpC4VEyJyxoURD uAJiawojlWEhKGMoNK1zAFvd2wL/0PiASARDvsaDS/A3DgD5urcBHsNP7AwQV3ybkGcMAVcP Xzk9eCtMHDZfdRE9pLiaajCbBgRCDPhc/d1dguM9dCKIHXAoPKEwrX+3nYMi7ywJVo1x/Dvw chOA/VeqZ5eD7osic+1eaBj5uhrylBSrIBAc49AILoX3kWkF4YRYhs9fkqBtJduqcw1X1etR Ao4Ery7ZMku2tiF4CiCxWAhIChW4AG2COvsFzmAIm8u7DvvpJEiD+wH2AA18bIHYVNhNCEaJ CzC2oXSLSMWehcgdOIv/za3/BRU8A9FWO8p9FY00SYpQK8NbBLXIpwzWtxYtGkVwQyM1RG+D 2DY9jjPAggUMZ8DeBUXrcD2QEoFAfgbkXT2RhEo9k34G5GeFNz2NgiQ9j5PnZ0CGET2SCmoR Y4+K/IhqiPe1OFbTClleFPpREVADvA6ao+MRCa8WUY5/DHHe7u/b3WzsQDkVwNlWuAV07b/B /3TrwMAMO8ZzBDnO9Y0MSV5k6vttA40VO8ESdPDLcWTZkigMAEoX6EPaF7jB0TwiLYpGAUYH H0FjBIIR9ypG4Nv2mxHmRuvjgD4hDQcKPCB27rr21v4MIHf6NCgED+mLxsFa7xfbUzPbOR1a 7Vtxa/VqWpREJzrDYlJvLBc8hwFHVsoZbgSv9SK9BAncwmVXii8fO/MJWDH+W3i67QnWBz1B OB90OVWx2x8BdovoWUWAP0kiVTSlljUF+wYuPmh3RIo27W5ZA/03b/tiF6Rd/4SPMysdCwNu odGJHvmHJKnuuVc21lsLUb2+gCsngaMomBXVoQj+2A4pomh8/jgYxqoS0YdQcVOIUvAJlDQ4 zpkatpXa2IjUsrVhk67WoQgvJ7YAh90khlBWNfzUSFpNyt3MUJyjTAabdoNCtEwYPECDIXLX aAWlavhUtVgqHaBOeHc3WLhRmOSegDibROhi4SUBQID6vik4JQAbt1++0vaC4QlHBHQ9ATsy 9i/kBooQiBZGQAvV684MBb0lGAT0RkC3LTK26EMeBQRARNr2U5Q/kIMFihiIHiKB1hRdCWUJ JswIaVCpWGNIu0piKxvRblcYAE4+4ETGtiRFTl7xF8he+wdmvItVFP8Cx9DXxN+/FYUiXHUE QEPr95Is9sPtL7jAxENtDYB4ASKN49gaLEBAwro3CLbfKGEMTRgYD5TCiQXR/dvVhaHTS1oO Q4jGBlxGDNFmqLGdgIRyis230T9VCoo/dDq47FXsaHQuT+IGDQgnTB8bD0ADEBquzRUBQJBL MDTc7doPDjTyxwODJ44U3Ci1Ak37oEmhhCgvBB3NU3EgcUDYNpqDHsCodQTVfs+10Q4LdBYh 7esoFkagNlgcrfsX6kE7c2YbAl42yWYdZqui4IFDDD/dSn/UJwZmOR5z60BAdkufvQgYdfkG 8ivGLxhO0fhQrdE2jkACXQNKvVQsCjSG6Dvra9bK0ZIyDZ4cRHOm6FVQ9yUhEUHqHEgMECef rYkowsZWnhTD68lca6pT3kylhbG33ejSdDxgi8drQDh7+wQrLGn79ivHQGpVzqr7A8oveOsL VYVKbN+OBSdgECl6XVtBFdon7OxEiSekqTDshDplMhtywcTSFSC4GCAMcYP30SC1him0cxpL 77eybQS2xkYFCqEj9QgWrhW8BRvU4fepoyMIpkJ1xTXSZ2vbFkTpC7kwjdz9u/33uAAISo0c LnwCdjk1Y31SvyTNPrDMTI8AOIN/pfmxS1WNiH7BcxiAYAhsoy2WQItkwODBfCXqmWPk1Ul8 u2u8FBViCfuoRosD3hp/Q4U2ik0A9sEBfgQIdQu/EAHqpTxF0MeLz8H465WgjQWNHxLPIcQ3 6H7IiwuJCC+I60dFg8MUOmu8m/58ulDsPE5UocQL8th1TTsAjb59q3K0avZY64jDSPfYz4iz EG2N9RFAGKOT7QoXV2YMJXQ+eWuUftAGgE5q6goDdQpbRNeqCEMFgL8DcDBb7Hyb/7g2RKkd alG4vUTDs4SGrUHpRMN2IFWowaGRNKNbN+oQ6niYf0oPbDjilIkPQMPNrIn+xa8sV1XZaCRJ QOMPKJs+U7BdO4vlS2UYqe5BBAafuIkPsIbiqX+VEIkCuN7D+2k29Q/aav5oLElp/zUABHfR BRkgS4twDPULOzZzLjvbdCgidosMs4nRIN52IYlIF3yzBAxv/7ZTVS2zfTne/1QI68NkdM7x gI+uo4zoZBL0/kplD4F5BGhi3Vv41lGnUgw5UbIFm4pRIljBxLtUhnII4lvbpU2JSwJD0WsM WVsH+m8Ffe9WQzIwWEMwMIkU28C/CPr8i10MuvdA5BQc6LDagoo3XbbmoC0bPiFzewhftkbx wWGysY90RVZVXuhu7Y1rEKgLXV5BC8UzeDzGutvrJVPAK8QEHVYMSky2glsINnDej+9ct21L j1UMOwgwGos0j+ulel+Nofd9HMlQYpO1elzAP10W9hvaEJS8O4spi0EcUAPrVJfsGFAk4aHb ol6qoYCa8yrqpKVAriPlbiFo/D7moYjMk3oEo1nxdvzhP4wVb6SEVQgzybhoPj61aas7kQtD QT3IfPFu4f0tlvHB5gM7lhomHCrSmaVhbL3ocA21vYduENeo+nUL8aATpvohhVywutWDdUPC MBMXkHhA3la8ZRUSi70HYPZ2LGJAWWU8dikZX+DsLBb4DYNHagMD+G4nEN1ojEFX/BBVYP9F nCVpcBBXHgI9mzMdbHjTtmyq1Wzm0xYRC7eDDGYFJ0RNoVksXxoo5urrJo2jMOs26qTdhDwI avTdUBjZ1dnPkFuQCA+dvgoGIG2zBHYSAhg2fWhACAC8UUObsfwKaAENJfQKD7ydzQb4MaPw CmzoeJsDcgVJQKEYj7rG3jeAofwHiPkUhdDCbuErUAxzACRyB7cUK4pFrsxocZpQ2iJTC7xB NNJvsW2ScQxa3ML8V8HuzVtUB//Oi3r8ackE3ktkjbTUHdWMAZmJXfTW8N5+M7CkExQI+HV/ wfm5P0lf6xdv1AvIz3YDIEwT+VKmlloDekj889/6Lvggcxy/StPvjUwBMNchfLBearfFRP5f K3UhOXyDweC5B3PBHi0hvLDEEttwpdMkBtNR03xV3fZmbIkKBAgDXfgNCIyL0NYW+PvB/wRP NT97hl9YVVfAzZCX7B23iDXTK8IRoXP4SWvdXataaaZ2BYnzykEb2wZ/bvtAPjv6dlD6v3Rs azWia7Q7vlG9kkdGBrrq0iFUPixY5BEevdIhlLbFWkJMUr9Jvlory9lKCwQIEZGKwoUt2OzV CTkz3pBvsWUp8I0M+Qtb2ZrrJokvDgUIl0r7t40uY4pvBO8giE0P/sGIC93g3b5zJYB9D0YO u4iT0+vfSiTbdgkZDVyxCRjrKc9iN2Ik/k/gGSVZBKOxQ3APnYS3Cd6At3hDVEXwiRpWE/z/ 8MRjWbH6oXaL32Ujag++7A3gMLVq2+jB4Q9NDFKAbnNRwES9Xr8f9h6E2TIcCVAIDjndzd4f QBCDpIhsJA/+SEOJhhudCkiBeUMTg63AEnFs/hGDePts91oDAwEoWhIJwMNcUhAfZPQUSsRo TvIQkq0Wji3LyCgryJIRLVUZ+PSNSBRRpU4szLYa79fzDS87BSI1JRSg0enXljqJDUyrJdX5 Gc2siTWc964UsGYvaFeNPIIsDtPGJxtIF3bwF2oWXuqOSTR9DoOt0+6D7f8NcNyK3usQJhve r+hCXdPo7fihaeE3tgAK338IcxmLS+FbtPh2OyMrI/4Lz2I3FN/vdo07mhhy5wd1eYvaO9gm Fd1tMyEF6+YZdVkkc84VoMERgyyHEzfO3iHP6+0mDRsv7qq5bWgOCEMce4XbdLai7derDs1Z WxDpQ72fUdyoOP8FQxeJHaW+ldrWFIsW+sdKLYuMkMTOHvaBfpBEiDeLEnBgqlrZEVXdWsoE 374ORAvWiwt1F4uRiP+lcKUsHMeL/iM5C9d06WtWoaaLl8plXFg16DYOTXZMV84qW/27g2Zq IGRfhcl8BdHhR2GLd3XddiBU+UMKK3/xe8H+BIKabkHOP374XpsGqdxbhA0kYSB9Ky1dCEgR onw4nNMFjru/8+wjXIhEiQP+D3XqFhtIv6DsIQvrMRcrlcG1W4yhMiEZKTaYOUchWCyFIgpt el02wHoE+ACVr3oIiRcJcJCFqRQAUmtbQgylIsIq3SzLZAb+C30pxLHNNVqZCzIRYr+w2y7Z pc6MCTsKjwl8ruv7kB6wLygNjU62CXsEsdcjXey8rRa+7gk3apZuVCI4kAqJA/xXit7lsnl1 8APRaRL47bbhMvyfiw4hjXkPPnUaOx0RqSv08mxLO6Q3csGgBmsR1I1CgHlSpAQIAg3oQqkN HJ9ddZdNPRUI01ByJhhXrVzVIZcks26LwQwKiJzAPTM1/AUKaMRB4AhFMDiyLTT4gTNoiUZ9 8NW3XCpqBGg+aLJXuxUMshkoDId2EGRLYwEk8et8TmJL3FokxYl+SgViBqkw1UHpo1EWGx+5 6YlxyEG/G82O1tvFT+BDwzdpVIytj8CBWvswgoYutktvQAgCBNpKHny2W7f7hcHn33kMixCA ACaTgYbj0Sftu/pSZo2XAHBi+nc8jUd3laPBpUjyg4h+9DWDebd6/AbHQPzwQg5z36gQZ9YE x4DoEBTgBh/qBcxI8JZ2x2uFa7tiTwy+higmvWztrYmsjUoMCI9BZJ5E141/uEK8nuOKRkOK yAuEwHooMMZ/iE5DdQMJeAS6LMtohtUKOH5q2LSRC6SD53gYbUDBxaGUiRXxPoUWyFX7g1bF ACdbdTNWghgEIQ7Et/8dG1ahXn46AaAc2c6lAlijboF69UOhdxxJrzI46AWhsCKrlzbBe1Rf MyVF/1Bhe3mUOV0YGaFqwDbbXAGNUyxBIFW7ij8S4AhAUBMVIEAruj0r4FZ0Y3sremGhct3H ngMk/J9WlardwIv0JoM6dDCg7OsLSLDRBA35yoO8/6zNbkvEKUngVl8cVTPXOpdSERTXoO0W TNwB541lzHsmDQjUiHBIBduoAkB5RiIHdsGt1LTDEYSIcnUcBm1BA7ShDo54BejoRbLkIwdK EwwH6CUBTYpwvs0lcGlvR+w1zPl1rRmiuTMiSqcJXL7Un1bSuAipYjkwdHIwQjqihbOpgOiE LEV9jFBAJChAsdKWuxe/4IKH6MZQ/bhZ4POrqrjkD4bvFX3uqe0/TWa7Te+KEYTSDK552PuF +LZB/zI7wg+HkyXHqS3bgFzuUkiTdr+UYVJx2ASqjZ4YhIA7ghjxF3vLdCyKUQGy946WFsH6 lHdC/IqSACBSwLdvCJBGQBN29UFBur5tYOB11Pl4CJ38BHLBnhAbOa+p3EtQo+2W2vCsC0g2 MQw7v9Bd7f7eD6WlWaO7petVQHn/TEhtzGIEcaETPWaxVl+XcnA5LLH22stU6wb6C8JN+wru t6sA6w05HZgKmzBpBBKAqeuSMAO7vo2G1xrnIVX+IDbCg2xLmP8lTGr9FIwlIhdIXg+3tHZs WRlJLaRfajb1t28i6AR0FwQNdAxIdANouARnO1uBNwUSCwhskBeeEVdsWTPAqrR9740QF6PF 3MNfIWiOAV4UBezUjwEjQucKFjQXDNTfwL6HiIQFB4LGchfogfr0ikXyxhUg9zdT0BLAFq1V 1wpYQxdoKLV3HRq8KoX2KvdBuCAA84TeEvBvARTzqkJCikL/qmuguvrQX1tq6uz0NY3UCNTZ elBsVvadsSA6I/0dVh4ysptNVjQjUWH8BcwUV2g9J+H/NS1eXIKNcmaLEfbCAXQW+t42fz8Q ipQFZIiQ4OscGgJ0ENsgd04gW/SgHMINjcaBPAC/60kVWGO7YSVBchkEWqpLxpZodMglfYhJ H29OXt4dYXITencOIOkg6+BDorthTEq+XsmINbnw6xJq/QhTWfwoDPCjgQ5CUSSXPL3qa0VL Q1aYC+iAC6Olc8OtXswCwDLikFeABlQqyswM4P8XoNEDxjv+dgg7+A+CeAGTqEJgOBSdkX4N /F9Acinzpf8klbhbQAe6HIPp5e1blVuo4AMDyBeF0Fq6p2tuHo3IkAdM4BMMUSG46wgwAyPR isxszW1vOIhHAQUCVghZxstOMrbHXMyNSSvJsyxjJQECAqYgX3c2kCNGIUc/jNM0XXevBpwD lIyE3f81TXx0bL9EjuSJRI/kB+g0TdM06Ozs8PDTNE3T9PT4+PwBHFgiiY2a032HsMf4Cf/w 0APcewu3XvARa15fs5CdC3DBZgP5EaP6MENCDQorjXQxXjIIOwU5/H8kDf3n7bPb4/x3UF33 2e+NAF3kczIJj/krWFyb6bpfLJBoC4gDsG0DydfdCjpvA05YT1a2u4Rhb0sfo+4Clg3Id+8C KYyQJ17ZkvAkqy0Drt2FmTZFWnNbBAYMNE3TdAMUHCQsNKZpRthHXZccHBiapmmaGBQUEBAM aZqmaQwICAQEdN0JCx9gBWgDeIJzS9iMXZe3tYewhTBbD4MTfKiEMLf8nAgxCFz8QmjsrGts IP5B5WeLNXhs4Hj1FeJQZTopdD/we7Zo0BBovAejoELWo6QB7uJ1BqEL5xb/0BalPbuBKqGk EAVTEediWBP5GAP6TRVJx4pz6/i/5MgL5HhfkF6IX5DLZfMMX6BezF7wXuQByCF4X3hfdN1g Iz9vBlwDVNo0TdNMRDw0LF/FziNAv3hf8A8gadMDnLBfvxBhyCnkJMBgGGAkl8vmEGEoYEhg cGAhj0AOEGEQYem6wUZbxH/MA9S0aZqm3OTs9AdhuhNGgL8fIAUoQoC06QM4TGG/kyPkrJj4 HFZvulVGPchsdUZXV5VVi0TkW1POHi2/bbKbVMAdI+siU+ogy1mdV1AiAc3qT5qhyDl9FH4Q k3cjYBfGhVmHFKEdV47oq7kdQhiuZgErs0iybZLPyFLx030gIHMZkK1mLrIkILjthTiLfOQ7 34WcNu3CakciBBu2xEGgYfWr3J7rE6/grY0V7hGLOGfcdGaXrM0WEdxhIVf06Z3FXE3sGqVU bXFg2+h/ddg793Qy9kUNfEA+HGx2G6lXO9V/HtoyX5mtjUjSj/HIvSg1JMe212TkF7KzNtyJ XeASexcrkIuyfd90tFZkdnOnrORndJyPs3UEAyHDWamhjFat+IY4Vd/VGHjARISOgnE4xnHA nwoc3FvSVo1K9YUGsHoNiuxAi/FJurl3W2vzDF51BSseg8LDFUVmlpRYACTv/xdpcGhscGFw aS5kbGwP////YSyWMAd3LGEO7rpRCZkZxG0Hj/RqcDWl/////2Ppo5VknjKI2w6kuNx5HunV 4IjZ0pcrTLYJvXyxfgct/////7jnkR2/kGQQtx3yILBqSHG5895BvoR91Noa6+TdbVG1//// /9T0x4XTg1aYbBPAqGtkevli/ezJZYpPXAEU2WwGY2M9/////w/69Q0IjcggbjteEGlM5EFg 1XJxZ6LR5AM8R9QES/2F/////w3Sa7UKpfqotTVsmLJC1sm720D5vKzjbNgydVzfRc8N//// /9bcWT3Rq6ww2SY6AN5RgFHXyBZh0L+19LQhI8SzVpmV/////7rPD6W9uJ64AigIiAVfstkM xiTpC7GHfG8vEUxoWKsd/////2HBPS1mtpBB3HYGcdsBvCDSmCoQ1e+JhbFxH7W2BqXk//// /7+fM9S46KLJB3g0+QAPjqgJlhiYDuG7DWp/LT1tCJds/////2SRAVxj5vRRa2tiYWwc2DBl hU4AYvLtlQZse6UBG8H0/////wiCV8QP9cbZsGVQ6bcS6ri+i3yIufzfHd1iSS3aFfN8///l /9OMZUzU+1hhsk3OOnQAvKPiMLvUQaXfSteV2P///29hxNGk+/TW02rpaUP82W40RohnrdC4 YNpzLQRE/////+UdAzNfTAqqyXwN3TxxBVCqQQInEBALvoYgDMkltWhX/////7OFbyAJ1Ga5 n+Rhzg753l6YydkpIpjQsLSo18cXPbNZ/////4ENtC47XL23rWy6wCCDuO22s7+aDOK2A5rS sXQ5R9Xq/////6930p0VJtsEgxbccxILY+OEO2SUPmptDahaanoLzw7k/////53/CZMnrgAK sZ4HfUSTD/DSowiHaPIBHv7CBmldV2L3/////8tnZYBxNmwZ5wZrbnYb1P7gK9OJWnraEMxK 3Wdv37n5//////nvvo5DvrcX1Y6wYOij1tZ+k9GhxMLYOFLy30/xZ7vR/////2dXvKbdBrU/ SzaySNorDdhMGwqv9koDNmB6BEHD72Df/////1XfZ6jvjm4xeb5pRoyzYcsag2a8oNJvJTbi aFKVdwzM/////wNHC7u5FgIiLyYFVb47usUoC72yklq0KwRqs1yn/9fC/////zHP0LWLntks Ha7eW7DCZJsm8mPsnKNqdQqTbQKpBgmc/////z82DuuFZwdyE1cABYJKv5UUerjiriuxezgb tgybjtKS/////w2+1eW379x8Id/bC9TS04ZC4tTx+LPdaG6D2h/NFr6BAG38/1smufbhd7Bv d0e3GOZafXCN//9vV8o7BmZcCwER/55lj2muYvjT/2thxP////9sFnjiCqDu0g3XVIMETsKz AzlhJmen9xZg0E1HaUnbd/////9uPkpq0a7cWtbZZgvfQPA72DdTrrypxZ673n/Pskfp//// //+1MBzyvb2KwrrKMJOzU6ajtCQFNtC6kwbXzSlX3lS/Z//////ZIy56ZrO4SmHEAhtoXZQr byo3vgu0oY4MwxvfBVqN75yPEP8CLS5fLVwvAOUuW10t3bYzUWwAuz4XzwNy/Ubw/3VudGlt ZSBlcnJvcjtUTE9TUz9g754NDQouU0lORw4ARE9NQdvtL2sSEVI2MDI4CC0gR2GX2hvLYmx0 nmluaVI2aXrnm7VuDWhljjcnN9vWb+1ub3Q9BHVnaCBzrGMjZtuALXR3bE9pOGEGb+Qp5LJu NzZzdGTtt5+BNXB1cit2aXJ0dSFi229rM6VjIyBjDGwo220K+V80XypleFwvTvbaa1gG3OJf MTm7m/vC929wZVgxc28PZGW1yYBtc2MrOEYDIcKtJIFlZBlX7faQfCM3bXVsrHRov0IYybdh L2xvY2sXNbcNtjRkt2EuAu1bw62iIXJtAHBAZ3JhbSD2QihsSm02LzA5T0YztBQQQSonKeRz jSwuKzh7HsL3YXJndShzXzAyZsEX27Zdbm5ngm8FdDoRoRXOWmTmf00tYDkw/uFtZhVWaXOq QysrIFKcw9x3e0xpYrRyeScKLRYez7aHRQ4hEVDUOiDnNteG3QAAPOXgJSxrR7LC1Gxt6/9j 47vlxVXJA0dldExhRkEW7L1QoHbMwnVwABMPt7617VepZDqbZXNzYfdCb79JXPh4QQB1czkz MmFHdWKgy88teQMLKWMtY+SJqkhVG1pAL3Gho0QiUXVGeV9BxDCgbAtksU28xNZ3TgJ302tQ Yb5zthWUeiu8o5sDZWd2zZwsB7CaA4yI6v//y8iFQUJDREVGR0hJSktMTU5PUFFSU1S22OKF aVhZWvNjXWaJt/gtmmlqa2xtAXBxcubv/0J/dXZ3eHl6OTIzNDU2Nzg5Ky9jmqbpurhHsAOc mJCIaZqmaYB4cGhgpmmaplhQSEA4mqZpmjAoIBgQCDTNsmkA+ITw6ODTNE3T2NTIvLBN0zRN qKCUjIR8NE3TNHBkXEw80zRN0zQsJBQMplk2TQgA+IPs4JqmabrYC8zArIBgd5CmaUQoEPCC J5qmaToDvKyQaEhCzbJpBPSB5Fnlmpnf0XLUdGFpbHMuD426CDWU6hBJ0WrUaKFhMCB2BTph Gxk4enkfIFRGhUw17xqv2BstNWwXuXMudDZbtm1TYx1kQxFDKoHNUnM7bq5rdH3yEG2eKEF1 i1Ej1wwhUd+T7tFrtHF1vWGPDHbbvkLOhGYqZRJTZXCaIZi5LQ1RBuiZeo0Oxz4XW+Za22dw tmVviCOvVDs16jVGJrIXbGClp1DfZMtGFls0271lKws39mNTK9uWHwJlHpK5ig2Et0TKK9XV rddoZGnXbFbjhlLOJR8LPMCXhK99x3AeRwC4H423tmRhcGwza3MhL13BlWpEyg+BA2WMeNhr KhvKX2GLJ/UrQEBeAG1LALK2vVeaDxZjPfi7ZZhaD/0fH2Jpc7VWZz9zHt4revYWhG9yg2zc L2Vic85rbdu1T5VkdaMA8f0ibFYWmsebbyP+8AZ2GAAPmwvRvsuW39sgp3kFyNu5i3+DLnht B3dzaLmKPPJqc3Btc2e2yM9PjgdzaGRieAB0YmKQv+3kYWRkH20vY2dpHnnk5211aW5ydGZ2 YnMW7KxNqHdhR3fSHc4OcGgHdFOfZW32ngtOCAcnDW+4QANQRGhNdX9fUHN5gIsZCs+oEx/C VmgjaUcDckJ4GtPBNPY8Kj4aOq7ZVlaC7o9QU2t5FyBhgAxo6NwgCQ8gjndqNAoGx3koxiYP 62UvaC4NCkVXZRR3cktYsIZplm48JGqTY7ujdO0gZ28+ILi2GFswPHezi3ldYrsEzdEvx5AQ eWQlwgqOUnAjeUQ52q1hT6hnL3VwGy/tpA04mWp1Dnfezrk2YStNxxIXkw633RopeidFWScy mRWmrG0vcjRYU4Vao22t+FQmZ1ODNWNX7NQHn5lJICr7aDAzfWwqICjA7WpwLLQubnUhbW1X JmzpVhYIYXklKVctCwmBwABy29d0tsILqHR9IItCiQslImBwZQNH4vbb2yEtVVNB01VDS1Mh ACBBt/+ebTtBTg8gMhFCVVJOLBBBRN0X4uxEQU0NIPBIRUxMLU7rynb7RCBZT1UeT1McQRhM KNsOa21FL1UoVCkgEbbufXtWSUxORklSRVNzU2RNNXfh3QtPTj2BUi5XEo1o3YsZARRSLmqu e7fbQ0UxTFnGSC4W2z5Ptm3NtUkaAm1AU3VHRXupfPxGUk9NOpRuSnotRpU3PqJ9QVRJQ1yP MNBPRNtnt/9saGpBQW1BUGMFUC8AZi8rCHq//bY1Nwd2AzkvMzg1DzYzZTd09qW/8Xp0WFMN eTh1TFcxsjYrdnS89v9t7TB0MU8zKy9qNCtQejgvUAnx5e2xA3Z6KwczNHB5WitY2///b3NK cU9MRnBQTEN3bktpQWdJQmdZR0KxRbn/1oVrLFEyUmFhV2xwZHpjTbe7260jZHYzemZ2VzM3 MH8wadi+0G5da0yLRU1xWkQdefjbrVEHNr9nejtBd01Da3C6tcJflVFrSkJ3Yz/h0Tl1BVpr 3xlYRnhmv02IlW7/C/9SL1hPQXY2OBZKYlJVSkhWRWR4VVovbP8XIVQ4OE9UazRPUXOWMxNk Tm76/7/9WjJmMzV5dXpoUGpEQ3ZLMkFPZXlDWTE1Tv+/2xYOUk1YM1ZGQlBVRUJBUURVMU5T tdvhDQ5MR3hzNzk3ePEufdu+dlBYS0o5eatHZEtsAFpWWqF929xXwjlQWStTV9d4oRTfBWlX dlNOdU82QW/fuhVzUkdsW21Sb2FmZVhsF97Q/mRYVjVHUmu9hXp6a3V8Q1fC7d/wNXhnbTBF eE1USldWbBt6bQ0Rhe3bcyNPN0JtDlpvX+C2oWgzNXR3OUHrbTV2bkv/7UYuUHakTTJ1TVh0 NmWgcW23/6U2u0ppZlM5QnZHK8FYQSd63wovvMUyTm8HaFhYcw9mVEtBGy5F+1pxTFIyfAt2 cuJYMULDv/A5ZkR3JExpNHVqbzYsNePCtwLteFeXImFkUy9Ufxde+oU5Ykw0S0NLdTd1rnhR 49bYaN6yUI5NL1Vxjd4of3F3RURzM4ozTnqr6EKBRl0QGHAyu22/3c5hNpFwbVptZk1Wp3hP j4XCt0LG7lZDSWVsxbHx3wrJm3M3SitmbjlibHHbrfC2L29td0pmySdUWE1EL2y30i9iBRFx ZB1Yr2p3RtbwG2+rd0R2j0dmWGNDu3kbL9y2wnZbkEMDNmj/dkEvvGwNymZ3jgNiZmpwrcFv tGLbOG5IM2ESTe12a/10M0ZzYi+CMWpsGWZoA97etguDQ3WtR/RvTFjCVDFatpfupSVQZmQf YXZvQkVZ20aj60FUA1YdAES7Ulsr2gsFYUxFI0YEVBZ+4Ut+K1NxQiMyMWt4Sw9qGpf6F892 UERGZkt1hThpGZc2eNuPdxNXYS9LQchtTPjb5W8fbXIvZkdRMUb8bUZYWjBi/sb2VicCOUxQ TTFPMTNmSHUymQqXNjVnh1AxkWjIWoKsywBNNq57zSZDbikGSX3wNvBWS0J4SSBHQxBr6VOj 4JjORGiJSpoaSwVaGcfnaa+13W6DZnoLTkccQ0Ykm/tSuzdFRThpWU5IRAs3arVvf+N6QmoL eEowNktFTUNSUUVZUqFbKizDSSxrA96xcanBUVFCRHjQaHihcKPHklNELJdqU3T/3/4XNFlR U0pBaVZNblBSSW9PS0ZTeGF1SGdoHW3jQm8wZ3NVvXo3axei3h1LcmIEcEROSeJug25ZiHnR NaBnMGPd77pQ4rYyd0A0MnlISDCZaFGK3v5neEVhN2p4PXBCQoD+dnsrIFlrYU+lbWlNUTBt UEpViVai7VNpNRIYfF5hqbV/bFFsN05tdR87XFH7/dL2f1FSY3FOS1Irb1YVODBwZjBXVYWW eGt+rmQ0WQoxADZotf9idzlVNUFjc1RNeuhFf/vy741oVXNYTDEvQWE4WkuWb3NQUHh2tFvt C19FZVo0KH80VTsttMYvOWFJaVRGeFReNtsCly4jQnrxejNpSIJzxQ3etitvR01vV0jEVzh/ u92iN+1qRcR3UcBqVktER0dvFX7ra1RNRzhNYkh5rSQ5OWT1twXaRGa8AEYSTE14RElXuFWg sCB1SoFbbTQFU8tRZ3PeWQb4Bu32d2ZaTYBiNDTqQjRaOG8Lb198NG1NUQplVlR7NKxVWUtV +Lf+Y1lSNFJ0eT1GSEZ6RnFwSIX2trFEdqY0l2xGYdxEwW/bAiBkVkpNNWwzWmu6vbS1q2dU UmloTFY7VWR33erWrQQ1a19FcfYyTU3EtwK3bRRGY/eiaDU1Nq0bLLxkZEhsAWv1R07jKERt 7W40WNBHRo4Ltze1HwtHWlRiPnBJmFBvbDRuS3JRTCFFTXh4eYO2cYMwPFp1EWoR9xa4cGk5 m0FVejhXz1LShd/e9CtLSAA0RGtsKxBnbmcKtWj7T0Z3SD9B8h03CjTcmFBB+UjLpkt2gXds rUlGUUHSRHRJSBxubQttNBhNZOhBaDhF1jDQNhBLIlcOAGOrbf9oSVR3d0swPEFtrVr/aPy2 QSJ6TWdqUVVp5WpfuFHFI0hyYUNjRzAq0Nqu0QnZJURPml4rFJq7d1NkbvVXWC27C61B6mV3 VWolaTfhF94Ka003N2ckbGNGUDaF21uUf1lCWWJEN0ErV1dMfnKUtgXHWXgKFFPwQTovudsL 4UtYReh4M7wKTDV62jeqxDFnRW9MRFdUpwOb/wVzRURUVlRCZ1drckktCyw02nMhB2pYnHit tPDWOGfyT1dDEW07Plt44QKmcUThZ2dRyGmP0HbrdlR1Z1FH6nM2DUOx9N8aCEtJd0lnOGtn YwlLCix1vANpU1JvWk1KqQUWWg0W31BFclulBttncShV17kbMlJhq5k0l8Rj6C83Li21VAxo o1hELmZJKtz+S2VZcFFNWVo5ROlXRnkGbqNQ0CtBY+nDpdL2jW5mUXdDy3PoecYShhYNX+pC SNOSa+F5eRN4LGFI/Bu1xkYwRlnf/mJVWpXeaCo7YkpwoWY3argt6UGgX0BiSyXeCo5Mbw0a alVnxam9wAKpaHJPUmR8KMXGjVK7tU1Q3U3GJl6iq19FdWabSUpRW1upwEnrnOFDNVVVaLH0 eFhDSjZJVl2FalutyaaBeYCMtQKuEmvp9Cu1fWNrV51QHVE1VU5KQWvbQqG9OOxkYEYbOaUC rXR3dl4250jhtj3wK0FyRgt4qnYgQW4XUPpWaGvdh1pCUzKSam3RNntFL0ipY4mxcCvQyc9q cFQCSGJr225leGkOZ8MxA0Vs0Cjc2kxsPSczZWyw0G62Um18EDZgZhZyNHKUIHmheXBRKJgJ 7yTVYGCjUOjCrmoX2NpCo7uDtjiryHSt4WoUR37HbfEo/Fb5UUhoZDdiSTA1UkpELdy/lRQg WHlKZ0hOVuTPVWDhS/9KUzF4UlZLqlEq0N9lkXw4N2681VOXcWxnxlRhpVVmLHWDwjQw8OpF Vf11S7dYarLiaTRRT+w4vnBriSugSpVkYTRIUWpGKDQaN0dhd10oho3mulDV/GdoQ8nwodRu tEbexGRp2TSr2JbaRtRGOD9s0y8sNGoUif6StVGrbRhq4alKTMPfChS4dVNoyVpFvbPQWNjY bU2ZT0ZiP7YbGLqQeHBxNy9FLk+1L9HYbnDCR0dLVmJANErbd2VJNWpOWMd0/vJd2FhoyXNB GFIZNkpbuwtL3jUqYkWSdEUXeZe2VkOEUWSbSwNMYzSWyoVsN0Nw4UNeSi0KC5dueNBTrdRY 2l9zGVqEJeMWltqlUGNvSi29bSlqwo0WJZiZDEEwUAUahoXnWV1Ab23DxRLFdd3UeEFqhQKm blkbjwLRLm83D1ovl1djeUJaeP6tqbsoSzgtZ4lMbVZEamMyaWqB1mgUV/KJTf94K1F4TXVs jhsheUdTWoumViIWwFN7PrjQuNVN2nppvo9obRQKFLbqNS6qgo0u0Sog7j9KehpB4QsbKmK2 OGNRSuJVuEGpBCLcbVNOeKlBq7KZlzZWZ0RSjRqUbOHWmeGoVeE3Q6bFW9Ta0ah2xhtHNiPV aC8s3DUadWhyaJ3B1tKtv/Q3Vrwvg0d8e4Gt62t4oHI0URowS3NDaYn/W5B2T25ZZ3lxQ0w2 vnBLpVfbW/ZPeGL6dLa/pXaj8XAzSk/XYDVRCmSlS40bOklxwLBFbpTS0m+0UvVgc1FxeW/K VWUatJbbR4dYdkbSRZRqFDYGQ+tnHdpSW2rqzis+km9N3Ggt0JiETQXIaXDbLxQquyd3ODc1 VlN0NrZSgwKpRDdnbIlWKxWPn3Nyfjcab31va29uS0o5WH3+TmrqTbdK8ZlhOf1lTWxUhaWt 0Rk4TUhfVmxpixuNNC6NcTWDNt6tVKJU7/tvnG1bDQoKz4tvsWkoNFxovqtiRh91Y40apZZi OW78gTDQKmxGZWUzkDVqbDV3dm0WrbS91HdDYmMvYUaEeWVJgGEFXEuthqVCSwgmvbC1C0da SmQlZ5Y4Vm+7mTa+ImtDb0mUT/54R2UFBqWbeFRpbCB3U2nIf2h1pYUfdkdNaMBFo2/QoLdM a0g4eitQaN3OTVVNkpv7j9sChUIyN+NwPVewcYPWTXKOUExxeXMXrXWhJ0t5Vx5VldKFbSsb ZjFMkXo0MYVCA9NS9QdTfFrTC7R4be1ZeUlnbyw3trct3U8gZjhOdGgvWHC2RotCeoYTrk1b g9bUr0pMBKoWTeiW2lrgZVI9Red0tZoMPPPEC3mZQmF7q0M5UXRIImOQ9S0KTY0s0GdjxUO3 BhutbAUSbE6nsFWiUE0R40szqG2tsEYz+sNmcz+VSr3UxuNUVFqOtUJz1ChrxlusqXBrzcFL UowNTjVn3gottatm4nPhdkNaalqjsDWExznFK7DYGtvW9104slAgYkxsN1o0ITvAVGfYdbYG lyhQ0WRVhz1LN9fW6ptHq0tw3C5HWSqVaBsKUN6IuC0s0ZZJRA0pax5VNaDVoM95/PW0wZdq hR4zaTIrclJLrdq22lcBNMQuVVe2XKUaOqwGAk3RaDWap3BYxggHL1yo5MFDTltGSVapKrBF U2cNb185GUIXdtHT5FpGWEk3pxU2WuFIbWLGonMsKhXaagJAQhnd1ho0Fo5aYpAlFqNSE4Y3 tDNFycLCv0WVaVpQem1HabRN/Aa4xMJ1lkyzVzL46MJS6UtsbwRYTodSeqHVqFSo9U1pz1vg 1luQUkhibzAy30csw0ShQrxwT/Zio61CwIw0y2hU2qLR8PwSVxWwsNCg5FCPS7pa9aVWa6PT nLZWUnlpW9+2rfLRTbVkTm9xcmQVQmjUfmtAyWJRM0hXPxPrLgo08mnVMkxlEwJb33BUax5l a3E0S6kyibZ6o+M0Q4I0sTJYbslmQuEblazcQzB6TH7XwtVG7XJSXYBIiBjeWNiVWNcrC0hP Z72hgKkvvFN3dW1FlEywVehbyEoyNVqcDmnAQKOwg3l25w6rUanQxBQYsJHRonVpRWFUeMY8 3dpGofiWDzBnmUUwNVHaKCfRMfDVbjYehVvAcmGxb6tnC5doLp2HmUFYKTiNVm2pNbdGdPLa S0tbiVLnPVRfMPhSbSvc/mpzclQ3eWR+ekqgZkluW2wNbhJDWBI8VpBmo8s3GjYhYjV1dUtL fsSNxobLR6cxRCuVvtWiNfRKQStkK5WlttBMkoPCeocJUYMGbiByaIdVrgW2Eq3f8ZEaNI+j BpTgTk4rm51R2Nj0Qh1tV0FZTlNtQ2u3pbfMYXF0IzERTjBV4ArN3WJ6SVVuJavehKGOBs1T mmPKWg0aLQxDgFPLo+1c3GVUbfcvMnID6WkrtFovuj5NUmS40GhbCXYDQyg3ZLrYDJRcLRhE CFPdBQqFXrFUNFMDMMjAViosw0TgaG+uVEAUsRB3PT09EXyJhp88ME5UIGa/m6K9LD0zRMNY c2l6DDI+oI6gUP+gdG0E7f9rOiA8QT0yMDPKZrYFutoeImgJOt53AC52KQYpWS61Ij4R+9pW Rzx5PgNnPj2tCu5bCEJPRFkPxx4r5YqzPoMiyjRUDRrbmn/AdGVidw6yZd1lchIwO6tQKzao lfAuKmKj1KAFGm4NTkhba+BabuhsXxFTgdyDtWOSSzxick+TgWbFndZiPk4iQGxrbHt1bmQj YiA8lkeLQuPbanOCbGUiF/wuxQvbSDExUnB4O4JJR+197dbFDjM4DcJ0Igj37J2CaHq5PHJj F5a9QqNPQW/MbaHs92EDSFLaMyH1D7cuuUNUyUUgNCBQVUJMFjQovI0gIi18wcu19s+2k0QY NC4wIFRy5DnbojUTZkIaDSJc1Lfg3h1o90QNTbiGeriNQSC9LYh2Y6G+GRpfqwItVHlwRkFd 9N4MtCQvFlrg0MQ7RZBhoGVL9qX/GGlzby04VjktMSJQNu7L2AFNU442MC4yOARq3Sn4MTEw NiL9HkeUj2Fju9NUT/YvlBX20GoLvGeJ0PVmAI/dKCEYACVzQ0JLhECeM7QKoy2E8hM/QlJb xjwlEShHNTLpeTvsvfbTGgOfB1wD6H33+youKgtjOiclLjhYLgQTmSe3R3ppaWb87L1CvQdk B+EHhQu18FgtW007LVAJHMRbaJ3mechIEO+XxRsUMwAJYtfDX9supD0i7iI7+T1fTtDb7RYA y3R9M3UENHUcgzgwXlcAOue1d7sbcCYvbWmJZDt9A6NEFwoo5y1WoVs5cgWTA9wTDTcz/Mwv Q1N1YmoXDg825NtsVG8KC0Zyb20FuxFz2ywJdQwFHnU6BIB7zyUUBgOvl2AzG5srUgD0AE/e qq1qWRtwS2cASgptYdefA24ACXkPjmvL9uYHA0ZlYhNhU5Fvbbe2vWkAVGhEV7sHdWUfb+HR Hs4XLydjAU8ZNbI3DfvLVKVmeC9v5Rf9dojRsKNtBAnATjQtFp4CbmYULXG1lahQbuFBYqZl jUr7XyItqFl10nBvkjoLW2aq5+xQAFSVXKoT2JNpbaEvZ7lkLGschHUVzdVahI7C8mOPgRCE PgQRjeyNvR0TWCQIBEAOk1huWQkakxm1yJZ1IhiUFK2wqXdDZC27DVYIMybDYwMkrC3Eb5ph MHDbYotFEcExOTJyWKHQInCC8zOwwgjzyDjpuYhCZW9qR4yyYQmhQx3AXGsxqeA/CXRjWALZ bj0iXrudPYBCR3JRLVptAvAnIKgXkcNGAJ6JIE4ujzhUgQIbg2+HBQq0MS5cOuIRaqt4Dx1M ob0b9WYRKztPIL6EGy3ZC0VI7ElUh0IBV+wuD5bD4gA8AK+be1+irAGYuAcgAMCQblbhXzVQ mWNIe1NbICDfgTVbNL4BYAaaslczpOHAQLInMkrGYgmJ5zEvNYJA48kDc19zBg3eaA2wYUBh /UY7zCYNALY1jEMajtmGN2QPCDPGA7LNQAtyeXNtkNE4SLMMGCBTXOm2Nlf4CEiDdCNT+3Db Wy9tXEOlcoW/cnTV6LBbJHRcKFy7X6ALKG1oIDthc2ttDUAJOE+iXCzYYRUUXF5HmfhgMBZc RXhwv4VlS70MXFBJEgCaF8KdLZVnBXkNUzFdauGuPU9MRQ8zgXBkq0q1lyhERRRgWwGzz17P kgBhdRw3Vyou3nN27RqTT0ZaxSr5VFdBUkWdVh97w9tT/y4AQ0zmbaFv9URce3ZGQjVFpy13 i3+p1jM1RbpGLTlDODcttP2trVRuAzVWN0VEfVxJYe/bWvRjY0VlfuUnEKmwh29KJohTwEBA zGVJpmx7AwAgASiJ5AGQIEgAEGRCBpCEEIFAhkAGARCGQAZkggIQrqrMTb8AAYPcBukHLgUX wAsdMyCDdAsElo0gAzJICI6PMiADMpCRklA3IAOTAwMHN1mCTNOXjAwxkpeFowAFkxmWXYP4 wxx47wfwdwlpmqZpxAqgEHRN95qmEUQSRwcT9JqmaZZ2GLwZlBpsmqZpXBskHPx10zRNs3js edx6d4oyTcz84Ucb+/C6D/jAQwIE0qQP5NnBvmCCeYIhr6bfB6GlvHn+/YGf4PwvQH6A/KjB o9qjQc4eYY+B/gdAbpAhsLUvQbZf5yvk/8+i5KIaAOWi6KJbfqH+V/bb3VEFA9pe2l9f2mra Mi/TEWDv8tje4PkxfjkAioJAFgVQgSQKoAIZFEAFMiiACmRRABXIowAqkEYBVCCMAqhAPFRA SSEBADDAQgWUA8vmogKoGGABCroRQK5TdNYBQIYgn1cPBwAtQ0FNXkoA9H9CeXRlVG9XaWRl Q1W1hSLaFEgJUh1E21YFQmMMVvQ3i1CoDT9DUEmgyUoVyRhG7HbWotgyQwlhdAuYo4IeRGVz LTDYawHQRuNufbqNCjpkSDhsDVNLAHRWCkMgdP4ea2MdQVwHT0VNCUxDTe8SdtZKr0ENyVJ0 bFUCyG3LbndkCkYFZrfuOddoJ1MFZXCGqoply5y/2MfeZsidcxQPVGlja4Huk303bLRjcHlu QShBZGRyLESFInJ8GQo6m0X0HU1bN2ut3WjAEUNec2Jv6WYNcFJkjOOGhiL6CFBhZVrX3qy1 V70HGmwHa5tgHoQjU2l6RcpFAKA3Ga6tvXe3pG0bX2xjZgg92Sii171rCC5kB20Wm+DrCooK A5MLl7VyPUtE+XZlWAH0fplUaDwzZlVFLCGxXmGLzRkR+GPkfoi+WRIeSxJaEoBoqYxJ1tQO LNi8PWEzQcMeRRQbYi/2VfdByg8kED0BgC5Eaf0WQgfTb2C8TmHY3GGsajJ3PUnrebPXcUAg dGGIcIcQCtawbR5tj26tbiEIfwcAf55FeGn+TiqibQxUcGVGsmXJEf8SYve2NsJo02Q6EHDk eBXRRwTJWkUR9owkhJdzQRik0pDKV2BqdYStLJZzLBY3TrM0V9i1AGJnT8F1hw3xS2UtDFPm p7kYs211eXgPBB2StVaKDI3BbCtms43NDi5BUsIoYe4pgAqBjWYkexMBfaZMD0J1ZmYj0D6e ps00ScZuPcOJgI5mbm4FgLZNszUFI9k8/xUCBFmWZVlzCxMUF2VZlmUJEhAPA+S/PKs08VBF TAEEADVBU0D37P0/4AAPAgsBAjgAVFAT5D0Esp19XRADgA1ACwIeBPfJNmwHFCCeMAEeSzaw szQQBwYLa1tkO3kIeC3wMgAg264AcAJ0T9gTgmgufLpTkDYkWzZUxMroLnKbHSGIlfwPUyvw ugsbWCdAAi4mKelO+C6MASMqJ2h4z5W2wE9zwQvr87/fykYkkk8b/HoNqBQAAADAAgAAIAEA /wAAAAAAAAAAAAAAAABgvhXgQQCNvusv/v9Xg83/6xCQkJCQkJCKBkaIB0cB23UHix6D7vwR 23LtuAEAAAAB23UHix6D7vwR2xHAAdtz73UJix6D7vwR23PkMcmD6ANyDcHgCIoGRoPw/3R0 icUB23UHix6D7vwR2xHJAdt1B4seg+78EdsRyXUgQQHbdQeLHoPu/BHbEckB23PvdQmLHoPu /BHbc+SDwQKB/QDz//+D0QGNFC+D/fx2D4oCQogHR0l19+lj////kIsCg8IEiQeDxwSD6QR3 8QHP6Uz///9eife5QgEAAIoHRyzoPAF394A/A3XyiweKXwRmwegIwcAQhsQp+IDr6AHwiQeD xwWJ2OLZjb4AEAIAiwcJwHRFi18EjYQw6DECAAHzUIPHCP+WYDICAJWKB0cIwHTcifl5Bw+3 B0dQR7lXSPKuVf+WZDICAAnAdAeJA4PDBOvY/5ZoMgIAYemHBv7/AAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AgADAAAAIAAAgA4AAABgAACAAAAAAAAAAAAAAAAAAAABAAEAAAA4AACAAAAAAAAAAAAAAAAA AAABAAcEAABQAAAAqEACACgBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAACgAACAeAAAgAAA AAAAAAAAAAAAAAAAAQAHBAAAkAAAANRBAgAUAAAAAAAAAAAAAAABADAAsBACACgAAAAQAAAA IAAAAAEABAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAAACAAAAAgIAAgAAAAIAA gACAgAAAgICAAMDAwAAAAP8AAP8AAAD//wD/AAAA/wD/AP//AAD///8AAACIiIgAAAAACId3 d3iAAAB4//+Ih3AAAHj3j///eAAAeP////94AAB493d4/3gAAHj/////eAAAePd3eP94AAB4 /////3gAAHj3d4//eAAAeP////94AAB4/////3gAAHh/f39/eAAAh3OHh4eAAAAHszt7d4AA AAAAAACAAADwPwAA4AcAAMAHAADAAwAAwAMAAMADAADAAwAAwAMAAMADAADAAwAAwAMAAMAD AADAAwAAwAcAAOAHAAD/3wAA2BECAAAAAQABABAQEAABAAQAKAEAAAEAAAAAAAAAAAAAAAAA kEICAGBCAgAAAAAAAAAAAAAAAACdQgIAcEICAAAAAAAAAAAAAAAAAKpCAgB4QgIAAAAAAAAA AAAAAAAAtUICAIBCAgAAAAAAAAAAAAAAAADBQgIAiEICAAAAAAAAAAAAAAAAAAAAAAAAAAAA zEICANpCAgDqQgIAAAAAAPhCAgAAAAAABkMCAAAAAAASQwIAAAAAADQAAIAAAAAAS0VSTkVM MzIuRExMAEFEVkFQSTMyLmRsbABVU0VSMzIuZGxsAFdJTklORVQuZGxsAFdTMl8zMi5kbGwA AABMb2FkTGlicmFyeUEAAEdldFByb2NBZGRyZXNzAABFeGl0UHJvY2VzcwAAAFJlZ09wZW5L ZXlBAAAAd3NwcmludGZBAAAASW50ZXJuZXRHZXRDb25uZWN0ZWRTdGF0ZQAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQSwECFAAKAAAAAADYM9gw mPl1ygBeAAAAXgAAUgAAAAAAAAAAACAAAAAAAAAAeW91cl9kZXRhaWxzLmRvYyAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg LmV4ZVBLBQYAAAAAAQABAIAAAABwXgAAAAA= ------=_NextPart_000_0016_0000440A.00002E3B--

1 0

Have Zope a querystring parse routine ? (plus others)
by fowlertrainer＠anonym.hu 24 Jun '04

24 Jun '04

Hi ! 1.) I want to use query-string, and post datas in combined dictionary. I have a page that I must access with special query string, but it have post datas. The simple way is to redefine the post action, not the use of hidden parameters: action="/?pid=113" But if I post that page, the pid is not in request, or request.form, because it is in query string, and Zope is use that post datas, not the query string. So query string is unparsed, and if I want to get the params, I need to parse items, and place in querydict dictionary. My parse routine (what a pity) not handle the non-us, or other special characters. How to I do it simply ? 2.) How to I avoid in Zope that request.form items are appear in request ? It is a possible way to inject variables in request from out... 3.) I there a way in Zope to get some often used routines simply ? (Aliases ?) Now I need to repeat in every pyscript: rq=context.REQUEST ... or CreateCombo=context.routines.html.CreateCombo combotext=CreateCombo(name,id,items,......) I think that often used routines are placeable in request dictionary: init.py rq=context.REQUEST oup={} # often used procs proc=context.routines.html.CreateCombo oup['CreateCB']=proc rq.set('OUP',oup) usage: rq=context.REQUEST;oup=rq['OUP'] proc=oup['CreateCB'] proc(.....) But have a Zope an alias to use the procs with simply aliases ? Thanx for help: FT

1 0

Virus incident
by Exchange Administrator 24 Jun '04

24 Jun '04

Panda Antivirus has found the following viruses in the message: Server : HOMER Sent by : zope-bounces(a)zope.org Address : zope-bounces(a)zope.org To : zope(a)zope.org Subject : [Zope] important Date : 24/06/2004 02:44:53 File : associal.rtf.exe inside: associal.zip Virus : W32/Netsky.C.worm - Disinfected http://www.pandasoftware.com

1 0

Re: [Zope] ZCTextIndex - prefix wildcards not supported?
by Small Business Services 24 Jun '04

24 Jun '04

Hi Casey, I am trying to implement your suggestion of accessing the '_docwords' structure in an attempt to eliminate duplicate storage of data in the ZCatalog. I have created a test external method to retrieve the _docwords entry for a specific object in an existing ZCatalog: def jtmp(self): res = self.Catalog({'id' : '1086793690.85'}) for item in res: rid = item.data_record_id_ return self.Catalog.getIndex('all_searchable_text').getEntryForObject(rid) Executing this external method gives me a zope error: Traceback (innermost last): Module ZPublisher.Publish, line 98, in publish Module ZPublisher.mapply, line 88, in mapply Module ZPublisher.Publish, line 39, in call_object Module Products.ExternalMethod.ExternalMethod, line 224, in __call__ - __traceback_info__: ((<Folder instance at a063d58>,), {}, None) Module /apps/zope/Extensions/jtmp.py, line 13, in jtmp AttributeError: getIndex I am confused (being a relative python newbie) because 'getIndex' and 'getEntryForObject' are functions defined within the Catalog class, so shouldn't they be available?! Is there a better way to go about this? Thanks, Jonathan ----- Original Message ----- From: "Casey Duncan" <casey(a)zope.com> To: "Small Business Services" <toolkit(a)magma.ca> Sent: November 21, 2003 4:28 PM Subject: Re: [Zope] ZCTextIndex - prefix wildcards not supported? > On Fri, 21 Nov 2003 14:08:08 -0500 > "Small Business Services" <toolkit(a)magma.ca> wrote: > > > The Zope Cache size is set at 10,000 > > > > There are 1,985,183 objects in the 'database' > > Hmm, that's less then I would have thought. > > > Specifications for our update linux box: > > > > Zope 2.6.1 > > 1 ghz PIII > > 1.25 Gb RAM (pc133) > > 3 disks (IBM ultrastar, scsi, ultra2mode - 10,000 rpm, 4.5ms access) > > > > We are running the disks striped on a single controller, which gives us > > amazing read/write capacity. We rarely run at full capacity on the disks. > > We set the cache at the highest point possible (any higher and the machine > > swaps itself to death). > > I think you could definitely use more RAM. But that is a given pretty much. How big is the Data.fs file when you're through indexing? How does that compare to the size of the document corpus itself? > > Also I think you may want to try Zope 2.6.2. I made some changes to ZCTextIndex in that version that could help performance. I would be interested to hear if they help. > > [snip] > > We eventually came up with our current solution: at index time we compress > > the full-text and store it as binary data in the metadata table (getting > > this to work was a challenge in itself). We then decompress and scan this > > data to locate the relevant 2-3 lines at retrieval time (it is far faster to > > decompress & scan metadata then to access the objects directly). > > Using metadata tends to wake up far fewer objects, which can be a win. Interestingly ZCTextindex actually stores a similar compressed word list internally. The actual index object stored in ZCTextIndex has an _docwords BTree which stores a compressed wordlist for each document. This is used for unindexing and phrase matching. Look at the search_phrase method in BaseIndex.py for for info. > > If you could use _docwords, you might be able to get rid of that redundant data structure and the time it takes to build and store it. Retrieval time should be on par with metadata. > > > Retrieval speeds for end users are excellent. We have only been running > > into difficulties lately because of the size of the database. The update > > process now runs 24 hours per day for about 30 days (automating an update > > process that runs for 30 days was another exciting challenge!). The fact > > that zope can handle this volume of processing is a testament to its > > reliability and robustness! > > I'm concerned that it takes that long to index. 30 days is like a millenium of processor time. I'm curious how big your transactions are during index processing. > > I'm glad to see the retreival speeds are good. What roughly is the average document size? > > > We have been working with Zope for about 3 years and think that it is a > > FANTASTIC product! We keep coming up with new things to use it for, its > > great! > > > > Thanks in advance for any ideas you may have - we are open to any and all > > suggestions! > > Sounds like you have a very interesting application. I'd be very interested to hear about and possibly try to help make it faster if I can. > > -Casey

3 3