From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 79279C433EF for ; Tue, 9 Nov 2021 22:50:22 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 5F9766108C for ; Tue, 9 Nov 2021 22:50:22 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S231167AbhKIWxI (ORCPT ); Tue, 9 Nov 2021 17:53:08 -0500 Received: from mga11.intel.com ([192.55.52.93]:59628 "EHLO mga11.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S243446AbhKIWwh (ORCPT ); Tue, 9 Nov 2021 17:52:37 -0500 X-IronPort-AV: E=McAfee;i="6200,9189,10163"; a="230023047" X-IronPort-AV: E=Sophos;i="5.87,221,1631602800"; d="gz'50?scan'50,208,50";a="230023047" Received: from orsmga002.jf.intel.com ([10.7.209.21]) by fmsmga102.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 09 Nov 2021 14:46:05 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.87,221,1631602800"; d="gz'50?scan'50,208,50";a="470154858" Received: from lkp-server02.sh.intel.com (HELO c20d8bc80006) ([10.239.97.151]) by orsmga002.jf.intel.com with ESMTP; 09 Nov 2021 14:46:02 -0800 Received: from kbuild by c20d8bc80006 with local (Exim 4.92) (envelope-from ) id 1mkZsP-000E2H-Om; Tue, 09 Nov 2021 22:46:01 +0000 Date: Wed, 10 Nov 2021 06:45:19 +0800 From: kernel test robot To: Peng Fan Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Bjorn Andersson , Mathieu Poirier Subject: drivers/remoteproc/remoteproc_coredump.c:169:53: sparse: sparse: incorrect type in argument 2 (different address spaces) Message-ID: <202111100611.QZr8xYrT-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="3MwIy2ne0vdjdPXF" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --3MwIy2ne0vdjdPXF Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: cb690f5238d71f543f4ce874aa59237cf53a877c commit: 40df0a91b2a5228ded8e5f75b80d28c96c6831cd remoteproc: add is_iomem to da_to_va date: 8 months ago config: m68k-randconfig-s031-20211109 (attached as .config) compiler: m68k-linux-gcc (GCC) 11.2.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.4-dirty # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=40df0a91b2a5228ded8e5f75b80d28c96c6831cd git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git git fetch --no-tags linus master git checkout 40df0a91b2a5228ded8e5f75b80d28c96c6831cd # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=m68k If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> drivers/remoteproc/remoteproc_coredump.c:169:53: sparse: sparse: incorrect type in argument 2 (different address spaces) @@ expected void const volatile [noderef] __iomem *src @@ got void *[assigned] ptr @@ drivers/remoteproc/remoteproc_coredump.c:169:53: sparse: expected void const volatile [noderef] __iomem *src drivers/remoteproc/remoteproc_coredump.c:169:53: sparse: got void *[assigned] ptr vim +169 drivers/remoteproc/remoteproc_coredump.c 150 151 static void rproc_copy_segment(struct rproc *rproc, void *dest, 152 struct rproc_dump_segment *segment, 153 size_t offset, size_t size) 154 { 155 void *ptr; 156 bool is_iomem; 157 158 if (segment->dump) { 159 segment->dump(rproc, segment, dest, offset, size); 160 } else { 161 ptr = rproc_da_to_va(rproc, segment->da + offset, size, &is_iomem); 162 if (!ptr) { 163 dev_err(&rproc->dev, 164 "invalid copy request for segment %pad with offset %zu and size %zu)\n", 165 &segment->da, offset, size); 166 memset(dest, 0xff, size); 167 } else { 168 if (is_iomem) > 169 memcpy_fromio(dest, ptr, size); 170 else 171 memcpy(dest, ptr, size); 172 } 173 } 174 } 175 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --3MwIy2ne0vdjdPXF Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICGznimEAAy5jb25maWcAnFxLc+M2kL7nV6iSS3KYRNTbteUDBIISIoKkCVCifWFpbM2M Kx7bJcnZmX+/DZAiAbJpp/aQjNSNZ6MfXzcg//bLbwPydn75vj8/3u+fnn4Ovh6eD8f9+fAw +PL4dPifgR8PolgNmM/Vn9A4fHx++/HX99nin8H0T2/05/DT8X402ByOz4enAX15/vL49Q26 P748//LbLzSOAr4qKC22LJU8jgrFcnX9q+7+6UmP9Onr/f3g9xWlfww8708Y7lerE5cFcK5/ XkirZqBrzxuOhsO6cUiiVc2ryaGvx1gGfjMGkC7NRuN5M0JoMYbWGtZEFkSKYhWruBnFYvAo 5BFrWDy9KXZxugEKSOC3wcrI82lwOpzfXhuZLNN4w6ICRCJFYvWOuCpYtC1ICmvigqvr8aie NRYJDxkIUSprRzEl4WXpv9byW2YctiRJqCyizwKShcpMg5DXsVQREez619+fX54Pf9QN5K3c 8sQ6ih1RdF3cZCyztk7TWMpCMBGntwVRitB1w8wkC/nyIhWQ0uD09vn083Q+fG+ksmIRSzk1 QpTreGedvcXh0d+MKr1dlE3XPHHPw48F4ZFLk1xgjYo1ZylJ6frW5QZEKhbzhg0KEPkhiB1f hM+W2SrQzN8Gh+eHwcuX1p7r42MrQm8LxQVL4f9004yXpIyJRBVRbBTMCI4m2V9qf/pncH78 fhjsYeTTeX8+Dfb39y9vz+fH56+NNPVoBXQoCKVxFikercx6LsNLPng8DZ5fzlo5m3X+hynq E4fBuYxDUp2GWWJKs4Hsni1Mf1sAz14CfC1YnrBU2Su5KF3Z2O7eIhG5kWaMSvIIq0PKfIbR VUooq5dXScLdSa0Om/KDpSCbNSN+qQtGBPL+2+Hh7elwHHw57M9vx8PJkKthEW4t0FUaZ4ml UwlZscKcHksbKtgYteYvexWSrpnl6gLC08Ll1IKnAfhFUOAd99UakX2qenuW9IT70tUel5/6 grzHD0C371iKTF018NmWU9bZI2gcaLNCVmQsDhtvzegmiXmkihQcZ5xag5rdFSRTsRnDYtxK kJDPwAQpUbZU25xiO3I0moXkFlnFMtzoLRnPm1rDme9EwJAyzlLYcOOVU79Y3dmuDAhLILjz +UV41yNq4OV3fZzwLu5nTTCV8Is7qaylL+NYFbUpNMdBizgBd8bvWBHEaQHWDf8IElGGnU6r tYQPzRRrsmVFxn1v1tBKf2HPKCB2cYgvKbohuWJKgI3rk4NIGeKNzKkiLS62VHp7x33Gkuel 38YtIUlB5zYoC9fUJZEghCwMLRvOADG1voLttSRUkqlIcrp2zoIlMbodyVcRCQPHsM1OAh9p zbYsUjaIkmtwQHZfwmOkH4+LLG0FHeJvOeyykrREesHQS5Km3Pi7ut9Gt74VuKSXSfDu6Wrd MAgH3d6G2ggMZme+b1t8Qr3h5OLZK6SbHI5fXo7f98/3hwH79/AM4ZGAc6c6QB6Ojrf/jz2a 1W5FKfGL28eEpKEgUYAiN7aQZEiWuHqH2RJTgzBetvuD/FMIORUkxDqtsyAAFGoiE0gc4Cc4 VRu1xAEPL8deCcFFwfVRzxYW3NFgYqlPIPI5QbDdesf4aq26DDh3vkzBGcOqwfvamEEwwMc7 7fgbahSDZiYxhDhBrIO/A5RVQNSybOvu2msyhGSlyBL2HcLhhPJ6XG9CWGACvhQCUoUUMFFD 3bCcUVvQ2nXyKIi1sKgtY6M4ydP+rHWlzhlK6vHl/nA6vRwH6ufrocFVWoiQ/0jJnSloHPoB TxmqD9AH0qde1rifNRliJguM2fBiIs1C5evh/vHL4/0gftUZ4clddADnzYSDBy0y+HkIjDrK 4hPW7eIotI4c/IuONI5nS8UO4qyMMEOSoKhwqFXSQtdZZGkkbKrYpVwxtQZ4sLKyGb2AIhyB 6gGCcFXYJIa+DyoHASUBVGmpHqz5IiWxv//2+Hwwh2kJhgi+sjSHKJJa3l4Q54yJdu94GN8K LNquk/Fw6Fh8Fo1zpOHNpD7O5dsJQPDr68vxXGYgZQsfdflRtsykPcFdnKb4Cs1OwbkKygkW PCRxtqoFUaSx0AykeZ17SVIZce17WuZku/GgQeeu5T0c/n28t88FAH6qlow4wENbL5x36u9I iok7IipodSn3AQrFUuCi+VdnEaXYv+2P+3sIFdbaWqP6MpnONuiY3d5OcWJ/BGU8H+61MD49 HF6hF0SowUvbbGlK5Bpci42hjXNr0SRTRWDpvc6Yi/FoyVURB0Fh+XCDX3QdRcR+VcSQrjtd ES0s7bVTEq1Ya9AdgUDJEwrhKAVccamDNNURFV/yZ3tGmK3sLxNGeWCnjsDKQiY1aChYGBhE /y63vRk9bLQFUA/I1tqL1kwwDjBay6BjXaPhK5nBOiJ/3GGQVp2jivulKHV4a4kjii9VA6dA tLERhcQWnARRsYU46td1KxpvP33enw4Pg39KY3k9vnx5fCorDLXm6WagAmnEQlTx3h2mjQ4+ UEMrORUa8dqe1WBnKQCPXA+teFKeFg4atVwQoyUy8qyyVVQW+EBReATfdKeLiNiPw/3bef/5 6WBqpQOD786OYS4hygulNQXD+yVT0pTb52XOQ0eRih+ErguxyP2Daq4uIm4TXU5MTKFREbu6 VJ59nGFjazIutJIvuKQoX7sBPxMJqgt98irj4eH7y/EnhMXn/dfDd9T76D2ViYdFAJX3Tfx2 0VwV0O3i1MU3JSHYTqKMWUDAlteTVqelRrWmi7UvsDtji4jIDRJOmYaUJey9DMdXKWnbb6T0 EWvY3FC3HFQaHFUrdm6kQGa7FGsF7BemiAzYuJ4Mr2Z12GHM12m3gSMbS140ZACOWpDFRrzw payjOHu/EAM0EwEuRD8ir+c1kk7i2PKKd8vMyqbuxgH4Nuu7MVpbGheKVljLLLh/STp0rW7T LmayVO9Wd8HNfZUlpnCOama/8jUDREx1kLpvgunAPz7+W2Z9dcpISeqkkBrltL+DZyZ+QXld Nkzop/v98WHw+fj48NVGH3wxGs+mVmJD7YhVjQZoZMlsql6DDn5aKKZ9E/MBk5eLtqB5ky6X wWLNwgSt0Plsq0QSOLp6oYHLhRCDAW1FIp+ETiiGUGVmgjxFaAhVXlpcFho8Hr//7/54GDy9 7B8OR8sP7Izk7IKoSRbqcXQRrV5Z3dqUAZBdIS21uWsAjypLe12XNRgoomt8FydoufRQZ6E4 r0W1JAomV/gp3/YcgmGzrZPbllSt51VP8Esi3toyF8VNLItNpm+a3Jukklb1S9r3THW2DWZW FmeteSWYa+m9LjGarRx/XH4v+Ih2aNIGRDVNdIk7r0MSgsfdSdIbbJKCbIXlDCFLKCSAd/CV yywIbG3SrIBBGlleC3QKGV3rqTOlTuJAUn1HqJgOBXFahE7dbKk8wIN4zcbwco7y1lzykMOX IkzwQHwDKlywJR9h2fOat0NNReoW0euN25urVSKS7ijKRxcTY+jHwByhKzolFCkxvA6ilrL2 EIrEyYMbKriAAMtLrRYyA/s3WoP1781HL21aCXpNdhP1mpwvFvOrWZfhjRaTLjWKq61d6FHi fKnsW4BrgkDYxI3jy/nl/uXJjhiSlJ1Ng0iXA+wkvjpUh17CsMfTfVeJJYtknMoi5HIcbocj K7QRfzqa5oWfxAolViZvFYAbFhgl5tkyIW5dI+ZUXo1HcjK0PIDGgmEhpTM6GG0YywxCCfh6 46Ow4oa2DRpzMHBTa3eNRt/0pj1WRRJfXi2GI4JWrrkMR1fDoZXFlZTR0M6MS0kq4Eynbi2m Yi3X3nyOldkuDcwqrobWvcBa0Nl46lwM+dKbLTDrBzwMaACyV5qMkesbCYkruvdcF3XzQvoB 68H+I63DHYzEGAATMTjV2nc5KkOHYxxZhtAQp86xluTyrhy7oSj5guSzxRzreTWm+ay/49U4 zyczpB/3VbG4WidM5uieq2aMecPhBPWbre0bkajDj/1pwJ9P5+Pbd3MVcPoGgOJhcD7un0+6 3eBJ1wYfwBgfX/VH22j/H70xO3bjrsNxojQJFQNsBfgtcYyF0XWMg2nbhTjZJvfrdwySSl41 6qqGZurc3Q68WIfyKQljbOCNryaD3wGZHXbw3x/dIXUpfMdTJ5a/29OKaoRCAI/luoJGsqPi /Pn17dy7Gx4lmZ3H6K+gyr5s04JAZ6Ahc4NqyZOmvrUBKIM5HtNEEJXyfFPCLrOu7HQ4PukH HI/6junL3vHpVacYUDHAufZaLvQikSTLe7mSpoxFRX7tDUeT99vcXs9ni/a2/o5voQlqWmUD tv2I3wIs1oH0ZWdlzw27XcZOlnahQIxKplPba7ucxcLJ0l3eFbrYppGGDxgaMhXczdLvVFcv HV2AYdGhE0K/Ud5wim1BM+Y4Y+TNhujWfHD9m8Ln6WwxxW5QL+3CDb4YlmgPizBWiY3fHXKh Lzfci5yaryiZTbzZ+6KGRouJt3hvvaXJoFOseaiLsO9PAY3ebxCKxXg0/rjNePz+MvP5eHqF CEpQiVGT1Bt56La4wK57anbEdsqtfNWsOAFwBbqJIZ+6kSRCZnYNrDlScx8JTtSk/NiqpYp3 ZGfub7uzS2OwkhKsANe0yqJSAZEB1uUA73XnN3I2wtVBiVGh4oyugfLeEGoXToZjzLzyHkMV agNJuXt5a3nQd3wfOE+p3/j1RgRzYW2FnvK7hsachMWOANydtF272WTpsq2ODVGXmfQDHG6n /zaf+HK+mMz6mPPFfP4O7+o9ngtMEL4DaRy+SRZErj5gF2rct7oMPBLPKU9x/jIbeUNvbJ9i hz26Qo7KbkVvF1QJ4k2G+CQlf+V5vXylZHIJIehCqiYgyQ/XYhqWIn1nqImZ7oPBfHI1NPkJ xruNCChV3yxrIhK55h9OwZjqOXzIGkKSV2rf0ySn4+GwR6pB9jdXMutb4CqOfY55VWcXgH1Z go8PiRUoR943Pm8/EkHayJm8nc+83iVm0d2H8tuoYOSN5n1jsND1vT2NsOqL3cJ4nWK3GNq5 fLdBr6VDLPS8xbB3qxARp3CSH6xCCOl5k54ZWBgQWQie9DUwX3rOUuSzLIT0nvYeZ8Ryjj+J cCbZzD0sfXeUStGERX0TAauvGO8cGaS4gZrmwx6XDYA1TvvmMJ9TXcT7cEPm845j8dtpxgEj j8fTvJIhtrF33PDOV4t5nvfrzw7QltdrayKHFDgl/kf2Jqg3ni/G+BTmMwc03RsNYGvGHX1k LNBuNBzmrZyg26JHUUvm9D1mT7RLRaF64rvkISN+384kl/8htkjljcaj3jGUCHpu8ZxmWTTB 6odumzQglI37kYHMF7PppPegEjmbDucfefc7pmajUe9x3wVxSnEk5wg9XosKKOApg+NGbuQ0 /3Bd+nm5m+BU0JKjSDgVfNJSNkNq1XANDS/eliyxbA0Q2FXRC6U0gRZ95Fe1qHZ7z+tQRm3K eNhZZjCeoLKsmFguXrKmk/bo0+mlsLLeHx/MFSD/Kx7oao9TK3c2Zb7q93StxKSkJyQFOvpS r5C+5cJ0OipC2h435MtEjtrUlOzapKqKhzQGkn5A310bSalmooVozY/DhBYkkUl7RGOY2FRl Wm/TM9m+i1kRwdp15Lpih8m9ruZhRbiPn84pdYvqR5Uk6QLWMsNyXvO83741DDXwBs0N7dvW pKytNeYHqd7lp2NY3qbZGyqLpXBvTWSiH3VojmkCbOy9YUKFDn52M6uQW46xVAgPKMvqVtfc VhqvaWnfTj++82OBkMofDvDYeZnTcJdkMnbAWsPSz17QENg0AThVpNGKYiNDmBiPMIZg0q1h WCyFZcsNn+W3USyxQbVsMXrOkzVYVsPyVVi/EKtuE+8RBaxa6zcagkTFZOg+zG3o6Itr8O+j SW4Xs3unqtfFtq1fbQBlAyRMkfTzxVbTrlFeLIjCf4lADRZ7d1p74Ep90kwq8yK+fHzRLeYC nOgW1W18B18KU0zRb+pdcvlg0rFATdWPdt26ssUVpuBdXoe+PZ0fX58OP2AHeh302+OrtRhn UJIuSw8Ho4chi1ZYxlWN3yp8NlThFNsrcqjoZGzj8wsjoeRqOvHa22tYP95ZQsIjqtKwO2rK VtiIIsxp0q6IXu583pOTPX75/Mb85M6dGDCD/X7ECDRcxUuuLmehx60DgH6OgCkFBMp8uvZH dqfy95uDz/oFQ3kXMPj9+8vp/PRzcPj++fDwcHgY/FW1+vTy/OkeFv+HO2rpO1vLU1del6J/ RLNl5a/UwDFGioRtYZI8x5+8azWmYrQYT9tdgNxbB7jwN3FEOv1SKqTCH5gYQ9CPPrQu9ozr ky1oCW8P6zP9CzLzZCsJidK/7+sbgK84jUMbzmkyE2w7ckmVRTjzGHO6/GRd/+g7xl9ulQe/ WofgUnoed+kmXGA/uys5YGVJC+YaRpyMc/zuV7P/vpvMF5iD1swNE0nod0xJR6feAYWa4bC+ ZM5no5bOie1skud5Z5YcfaEAnAokuKPEprLfHiRuXTe6zB1+96F54HxQxXAbCdBN9DpTM6PO lpK8z2jKBx2Uu3sy1BWLWuSU81bokGM6mnjD9nxyXQjwP2GfG5dcKNYeKklbXsJ+Qld+B9QS TDDivEXMohnA6NGutQF5G91kAM9aJmWemLX3YIjFMmm/yLaaZBEgGI6jUYtdBO50+iKcKO7+ JlYzdgKrOGlO+YLEHSYP0/YAeZhcvWNyKUCj7iOTH4AxnvdP2t//BaEEXP3+Yf9qgEd9/etq U/nkqjNSfP5WxrBqGCtquCGhCocdLQXVb/1EqUlR+iKYc7w6frROvAwp5iUJxtEPNfXbTZdX vhVzs/mGroNr161rTivdcVbffR3Bx1hMat0a6NeXfb/P1zyh/7qGpc+GZsBq+Vgk4QOxP+nT pC/P5+PLk/7jCZ17ffPG0+S57blJejWeYF7VMNXavnYq2wvik0L/gZjOUDrGZ5Lgf7JCN8i5 +RcAoPOHYTStie5dovPMoqLPxq5nt8jFWrYqMO1WxQ1eojFsrpbEvqc1xEzpzM/+OaUmU0Dl EW3thIaJnHteZ3UNMuiZuf0UQNMCGUL0RXRGM8DX+e/tVL+FLWQAHmmMBk7dJsqTIghZ7j55 AoYLwzUFMAL8G/A2tbPTUMyHRRjijtU0SBaLiVekqsdAzO58ZNcGIehPtK9n3SKgLaMx8KFN c1FDSdsUUdyyOI0MiqQjIwBV/8fYtTW3rSPpv+K32a3a2eKd1MM+UBQl8ZiUGIKS6byovIl3 1jVJnMpl9px/v2iAF1w+0H6IY/fXxLUBNIDuRl99GC0tFfq5EEFZDCJXGfjO1GqtvloTR/rq 5nvevfnZucMuN4Tx9lH3/zPpxj5YTcp1h8ApHVytvteDBgkq6JkPF6SvCERRNrRPuHJBCprj M1b4WcUSz6gHqR6sOu9NqsV1BIVk1b664tNmAYslo+mD1F0qTYuZKLd8Z0jGdAKjp9+TqKAI IgKls0EjFdJzrFQmJcc1AgbdYkLIGCk7ge+JKcNZf8Hl+64CykQ8PqPUudngM0bmUGbuA5cA tAsSmKH5CFptCNzQlyeW8//27cFawT7y9lgbQYQ37e3wwRq+eTN71Ih1VNmp24aX1LLL6Qfx T7bl4wKs6VFSMip8kiIarC6TYPCM/h4VHCCVdJT4huCyR64qNMKRrjvD2Ca0Cj2e8qbS5qvG ELGG15Q1wvKGTm7QqSBT46zwRUY9YpLXAKy6+zQrJLMXuSB/eSHTXLW1KAk6eEJnyVrIp5bZ TninviXAUleJNuaFzqUoraKuyMnqXpzT4swnHtvfYsHGpXLOdQwU+PpDzViifcvL9PrpnyZQ fhPOn+3xsa62IrLYqewpWN6Nk0Tnsz5v2up0uPv1yov4fMeVca7If34hLxuu3YtUf/6nag1t ZzaX3Tzf4gTteI0Y+G8LYXJxWgDlAJRU4zFJ1IgSGUebQSTrl0SbKCekKdogZB4yUpxY2ODH 3mAnypc0SAxizMzne1gC6GQ6oXWbM0YnI1PPd7zXfz79vPv+8u3Trx9f7K3R9GXH25LlzC4K I2fzwkU3NDIF3F9OLpS+M06UVKjL8jTdbGJU/QXH14QgHXTcY7GpOwo7DW+9KDGOvwIY/fcx ptk7E0RmqDaXv1a35I12Tt7VfptkNRM4mBY4e28DQj8bmy33VgoTrYBhHq19ma4LQhS/rxpR 8E6+d3VvtFrkYrUpyrVei3J/vbrbt8WZHdPAe6saxJQ4aiGwjascHE0dgZEstrcbndgc5gcm W5y+Xac0cw4tgWJ7eIMtzN9ZvXc0chpE7gINhg3LFFPTsYCMQSA+vzz1z/8Ey8ucS0mRHBsz sN7syO9IwKxBQ1eNYAEtWJTWvnJCQyuODFyrE4SfYJv3xzFMb+wHJkfVfdC3lVKJ0NcwccUh wg8atMKwHJiJt6sPukbAVhxUQRXuA95ypymDHXx9+v79+fOduPyxVnHxnXEwJguwnPuo5N1D 3hpttGhT40WAAdO5jVW/6ozPU2Q9tlnCoC2WhMvTR8N+VdLbIhvgXlfCg9VeA7MSMS4fdNA8 klaxgZrhxszG4XribS+MSM0gFKhf5qtMQX3+8zvXnY1hIVOV7knOqgpB8JB46G4PKp3E2F11 cc0MQ4gtsL7KjfR9Fqf4kF8w9G1VBJmPlmeJs2gzHs4qx9NG80hx3+/sZrMaLTBbJe+qj/JC VaVud7w6fvNgj0xp4e4qrkBj6yN5Q+j6qG6zNDRHmjlxyebM6ya3hbYr4j7OsC2hnHfqIDPv 9PVeIPPHLDGyE+QssUVGABsfr4yS40MzOBYqiUv/mVWGxLCJ0RmkgS9eHWxRmM853hhZfDCE /sZ3zyJiaPlmZxVhmGWmaLUVO7POIA4duX2EqkSDYolyXV9+/PrNd8NrU/fh0JUHPTCnLNG5 uL+0ai4wtekbEXJDZOr//f9exlur5SRo5hpvcG47FkSZsg1bEDnNzo2qfuI/4EvihcdhobAw sEOl1gkUVq0E+/L0r2e9/OP507FU16mZzjTjtplMtfVio1oKhCZijcMPXakmDiBwfJGtlMMx nHQepFPoHKE7g/BWdDgogM73VoNoBx0qkKqDSAd8V7Gy0nTJh0x+CucKXVRmNfH8IGLqMNWt TiEKg5t7bd0wUdZrMXdV+FyU9bmXfyDtW2Ft+iTUDc5VlAKd4xtKlYv8IXs9IJOahjR+cGXB CscFgmRil7ZVLxJVqn26qaHHhwaHWdvlklGRBDHX37b5PKnpgGAHSYkASUZadDR7INM0rg54 6unDNqdr0cdbXvTZJoq1o/kJKx4Cz0eu0RMDiWri2Ymasq3RQSEEPUBFOBuhgAyYbTX9YKot J8Mx0uSnfA2fkt1+IDFAcjCX2HD9U+h+DGpODl6pF7kRkJZAAv02eqohVzV5f0IH64mFf55t vBB9TTpYgPbmE4NptrakKRpw5cu6D5PYtwWQrD39JKhxqoMfxWkK+0RhStMEnuVNLLzbIl89 KFaBIE5R3gSlIRJyhSN2pRpnGw8Dm8wBJAPsUNZswwh1ySQNh/xyKKkZg00EhtDkiW5n2vV8 fMc2nea6EPQU3w1sNqqfyDJV0EQSq1stMasZf96ulWY/JImj3c6x0rbCMo7T0y+un6FTkTk2 0I6XFN5tLgyR6vmo0TNEb3xPMx/QAE3r0CEUb0fn2DhS1R0GVMhPUccrHJtAnTkWoE8H3wGE uumfCkVwA6pzwKbhQBI4gNRRjiiNAXDsYblZmOJSs4KsPfAl6sQzVLd9fkJ3qCA9Mnxea4R+ aEETUPS69tqjIo7QLa/zroEx2UfGgv+gN2wK6R3uQFt2scEdS1DULQqKhWRZrlG8FwoHBnqG IvIMgL5Pfa6M71HNCcqCPbSCm1niMI0Z+nr0Ob1h79Q5gZ5viC593mvhGUfwUMd+xhoIBB4E uNaSQzIQ72N1TPwQymXVZ2sj948iCtBnXEfr/CBYG4UUnTk/lOhruQSgFUvnSO2qjIDuZ2KC OIIWgRvYCBLCpyMKD1+Z0W5M5Qh8IHkCCEC/CCCCU7WAErxB1HnWiiSc8tFMSEAAmpfoiZeA SgjE38ABQFCC9pAqxwZnF3IFETSNREIwV1AwuSSAK5GAQhTMQ+PAIi0gxw2vxrNZGzCy3BtU 7qIN4YLd1ENX0rNgJ1SsvkhivF2eOVoWhNm6HHQpn0dCO28+Z2lmiZNkNQlgJstKSMW8aCQ0 KRrTTZrBMdA47osVBqRMKzAsQ5bi3KAFgQJDseF0fJCrMMRBuKb6CY4ISrSE8HXzPBcXWRrC 23uVIwpgrU99IU/XKuZy4plZi56P8rUGJ440hfMZh/h+GjstLxwbD2jAi2OMleq5KG5t5ghs sNR+n8WabYTu0jbzYTKpt0GSOABc221Jt63Q1Hpad7fNrdjvW5BhdWLtpbtVLWuhvlF1YRwE a8Odc2ReEuGPWxZH3urXrE4yP3QMkoBv2vE9gbaapmvLAecIMx+23LgArc94csHx1rVpzhR4 abg2LiRLjNdHPo1nriKGUYTdfxeWLMnArq1pedOASaltkjSJ+g4gQ8nXXai2fIgj9ofvZfna sOKrQ+RFAZy7OBaHSbq2YF6K3cZwgVahAEb0mTiGXVv6OOuPNa/U6pz10IxLogF0fOuzLbvu kXwM9M37vAUYr89Qxmzbm++rmhx8a7emm3IcLeOcHP4Jczz2xdp42zUl13TAuljynUWEVm0O BL4DSOjEExajYUWUNuuDZmJ6QxmWbNtwgw+8ZrbiGCfBO3jC9RmF9T1LHTZ1S5Earr6tngoU fpDtMnyYwtIsgEqIgNI3Nu682bP1GfmUBx5UnglxeNUpLOH6hN8XKVg4+2NT4FDWfdP6q4ux YAidn65N7pwhwhJIyBtHIJwl9tdUjGvvBz5M/SEL0zQ8rCZPPJm/dmxCHBsfzhwCCt78GAxL QQezvqTTNKcbRCt4zRehHqoBEkxOb9aYj8AjCvSvs5THPSjAFJTLksie4jL6HkUrMWdhoU5q Af0kQTwCU1FkTGZjpXje8lQ8yusfeo1MPBp5a9jy7vvEjDMUTwKKpyD7rmpBHtMLPYfzlZel bG8PFdPjMQJG8VqzeI8CtjP6RLxnIp4YXP3EnTpgXC0vMZDboPjxZp64eCPjrrzuu/KDuxPL 5jK/3GQlT89+wPzvw4kHwpOn1zpTkXerDOQ8B/Ax8vSv5y/ktvDj65NqvijAvGirOy7TYeQN gGe+e17nWwIeoazkSyQ/Xp8+f3r9CjIZ6zDeRNvtT46jJ4bprFPoy8sgrswcse6dZeor8Y6M msWCgAYfQXIeDO0CEznC5BjlsevyNA5wxzsj78Mqs6evP39/+8daD7tYBM+H309feHui3ptL K/wNe5onYUmdSSgzN7n0uVv1Ie+L4+6suAhPFCu87Ayczg/5o/F0nMkjY1/Jx8PLE02jO5AF BZsWDkH0Pp0HshIWs9boe3j69el/P7/+46798fzr5evz6+9fd4dXXvFvr3rzzem0XTlmQ3OW O0FXLHl23vegrcYLBQcQq8AigOQlFM4QmjSFHxFItSlP+8CnNRIlTIaxXrJZS3m0l7BTHl/9 sIGPVdWRDQ0oTD1QGE5lNR+3SYB3drQfUB7ka981tPmD9SKY5c1mWKsZZ8jjXQQTGD3b4ecz 077nlfF8bzUTGUEEd+vD2pfSHR5+KJyiVz5tT0PkeRkUMhG1B6bKV8iur9bS7U5xn/goXXY5 DRWgT3HnbGQ050RpcRWc13wg/3hYUL4VC4bVrqVT8hBmKy0gApRv1QyBLp6ckl7qdiQuakDZ X9YlozkPedfTd1gXErFXVsov5nCtKNKv/zBst46BTPBai5S7Ku/LeyyIUyim9VrVbeFnjoZX Gkd495l1N9DuY2406hiDcDVtsTCtVPJaMf5bjwSRFTF1utqk0sTa7FyuzURCYmH5p2haekoq dTZhW7DUCzNTsA7trjB6uKUiemZ5RBSnxHOUp6H484Gvp3RparUFpPbJ8vGx3XnhKp5+fNaW vrZYE6CK3Ngf1CVZm8nZlu+bGKu2apBLpno3CBYRi/B4FkZ2M/fSwRoLmk45w/gMoe4ss6XX Ru0CbLVHTAWTyJypz4oK8phqo+3bZKqTv78qI/kYBgDLSH47GUEC1DwOTV7ciubkQA2zse38 yqqlgwiP/f/5/e0TOUFPAU4t5bnZm0/HEEWGYj20mmUDAWRA4mt3FeQHP3tCLIJJvHkfZKnn ivMvWOaoOHo2vFrxxlOv/gRV8aJQExnawBsQTb+GJ/rsBqGVVFId9zQKg3ZxL1pudvvS0hPk EF+LzXj2Br7Bl4sLDt9oFH1UFbqJL3USKYHQ4WZGVWtLSmdURq1Kj3SrbU2Ll4mWgHTV+9uR pll1Eo0coO634Sa0JEuGW5Ve5q4eK/xwMAVoJJphplRoRQbaIFFNzwRtivtuJTcEfLfIsM3N sac4YmYvEZXnjt1qKM35mRmFNscKVGhZ1jaZ5yGiJamCnHhILqTcS7tRe8BIRckpoZIhRjco C6w6CC3UTQioWWRTs42HCpZtAvfIErjjWmDB0fmxQPskTIyGJdrGLse0s4I5lR9FoFUUFEgM b8L0XEir1CmTfbIyF48U3R5tpppLh0ikMV0cNbjrYw9aQAtQeokZC0dZoOWkitJksA4ABOR2 JRNwE+uH9TPR5dwjGO4fMy63gfWhcD4QMx74Mt8OsedZpcy3oe/Zq5iesIy52BUoKIZgeCTl U28V7ckKMIfUbbiJsPGGhLMU+myOadeNKTGWtx/53fleDJ8DEC58+sXuyqsGIs/F608rqKRD 65WpqIbH4vyV4Sw40zfQwFaBA5AYp5ovEmiYK1rcyMSnVOjtNO1VkXRPWH7Z4Uc7pFciGDIP tR+kIQDqJoxDY9RJ70hDAzIdURUiaoYJWmsFoXcEyFZIFLmJfc8ac0T13QvFQ7M6HwvYJeQc jMx1zrwSWmio0iOyVmdiiT1TL7ALiU1CxNjvH6LMdC3V8CYM+BhwBVpaeAQHM+bWvtlbg+T+ mO/oLaLi4tIRJ0+DW2locdrd2X+pfuZr+4llC3+g+xf95Z+ZiN4Jt3j21cC3+tdz3ecHPOMu vPQUwCWvxQMKF9x6CzNdLIl7pZl9qfnCxTWig5x2EKQrVgtETl6ZapeqQLs43GQQOfH/WtxS cqO1Wp953wM+nzZQb7TfvKNazcjQR5TuNHYNBhI7hEDsCVZz5CyBDxtaID5C9vkpDuMY9oHA NI/qBdOPChZ6xWq+9XDUgYzQgtSHz8DMTHyqTkJHB9Hi7jDbMJjWW0o4mjnzyNIY68IKU1+E xvOzkCdJE9RKaIego7HDb1/jsnYTDqYYdqGwZ4s2TihxfrVRX7IyIF1/NEvyzlo5rG8NNmx6 ajIFuAfGnaupf+gcKbSM1XmyjavGbZbF6yJCLIlDDmmL9MZcJljg0J09liESZ+4soc2xzoJn BHtLt2BSiX6jT9ttlaODCYWjyDeRbvykgk7XU4XpyuczLNgCylyJE+g4W1K4HtBOZsHFHUTX NkeUvwBZsyMGXAjJwfdhb2dyYdvbVbN8XhhUW0v9XdYxwjDIei24icLVRxm0QlZZmmsA258F TZvr21YdZG+MBhY3WZrAmcn0KVWQZdNrY/WB6+aeQySkcrk9nykmxnrBBOe1K/fby34tsfbh rYSETny7NupzUgrO6+IluSOLxywLYFx2gyc94QTIsNjn08pqCrQvDMLE0WZyUwujnZlMKVQm 0W7ZQP13lDCW7zlhzDkjo4A7NpP5JvUCmbssDYmwiixGc51vq636yl9hr1vFrYFHY3XVFdqX u7I477QNUdXdTuUMaHQ+7hX6nJtAkgmBswJn+eNaIJaFgZ1PjzBblp8ezxg55l3rKFJT0NH3 bj3PoWlhwpX0BkdN0DQ2IBryWhXGOy4dnb/jjJe3kpRMe76tqvT89rSXvNdI0xtrCqW/N/I9 Xa7n3vXWTefcrHPooTptz6cdFQSXvBtUbwrRVgfzb/0ZxJF2tEmnsjAKTlQuKa7SiScCuJys 4iQUqwwkT2sMXM7XYeRfz2WgPp9bCoii1VPG7jO6VcbTGjQauUP0gzGM4SUt9SDZgxhtJ99N dPBX5vjo89PB2Qof0cpQWAfTRDmd+2pfqaNBmEIIrNNPi2Y6hZs5wyA5kmfE7Y9HgA+LGq+z E9t2113FU2esrMtifshMBKmcDl5+/fVdDUU1Fi9vxDXlXAINzU95fT7c+quLgSw9+rxe4ejy nXioE4Js17mgKZajCxeBddSGU+Ny6lVWmuLT649nOxj9tdqVNONerU49i7gFtdrdu+t2WYC0 TLXEx/hpn59fo/rl2+8/716/0ynYTzPXa1Qr0+JC0y9LFTp1dsk7W71jlXC+u9oBjyQkT8ia 6iRU4NOhRHsNkXxTNgH/p7eGQPYPJ74MGJlypY7CbwLqrpHtVx3UlkItovXP/OiO1V5ml1BP oE6wUhDp717+8fLr6ctdf7VTpi5tGvXASlDygTdp3vakL/iJYt7EwTHuv2xSvLkTbCW9Z8j4 kKz4ClufKcQ5NrjkzJe6VPpvrBUotzq0bXtdOeCmgkOrJtlDgTG7LXQgk4LO5eKsmrMsiNbZ dnpNXtdnU5znD9lBk7Rl6EsLFjND3lXtOG/Zgj4aWrqqPRssXtuKi2jFeF6PdioaV8Fb8gLt UUbmJomi5FYUO2vA7powjifEzKMJk/hWsQp5spjF2JbuwoqHcG5XbA09zgzGo5KSyo70lTXJ VBZJxPT/06TKt/DyhjG7TJNdXlFe4NgYi9VEYcp3dIZjscnVN2V9w8+IjxURtkcFs2ZEeckK gJ4em6p1sZtnPix19NLqoeOdcu1NiN50bIfWktPJRvKPtgRz8gxf27VGmtmaHdrimGmRqm7J oQHfWAEKO8374lXmWnuVeWIRNqNlYEsSl4LLiauacXs7BDu7rioDtcZKfVXWZo9V47E8Q3Ar ad7u3A0zpTba/xwYGImMS8OWhpc7Fc5xvILpZgTktL13zraCb1fWfW613ATcmlFKHLCUSvdI 2+9afDegs/3Rovs9nefK1DhLIzb5M3UHqw49zVClXTRJX7nBU+aRa3mCb58rKe0alDOzhJ3G tkqlpRUsKdo6XWS0RrvmIVJTzRRwhfg0IhTTNSbKz8UkFvL9y4/nBwoJ+m9VWZZ3friJ/v0u l49MGlrLvurKXX/VKzsSb9WpvSDd2IqDf/f07dPLly9PP/4y/cj4rpiusSX17un3r9e//3z+ 8vzp1/Pnu//+6+5vOadIgp3G31StZJwoO/NWXHqr/f788sp19k+vFHr4P+6+/3j99PzzJz34 Q0/3fH35U6v42M1XYSJh9f4uT6PQUqk5eZOpAdtGcpknkR+DSUEgDnO1cfphbRhBj/9RFWFh 6GVmjgWLQz1A0kKvwwBdD44Fqq9h4OVVEYRbM9HLLvfDyKr0Q5MZwUsWOgwqNGoAbZCyph2s yYhOrLb9/iaxxYnwXd0nH/XZsZnR7FCW50mcZWrKGvuyo3ImwXdAFBMNbIw4+f8pe7LlxnVc f8VPt/rUramjxVr8KEuyrI62iLJj94srk+PuTnU67krSM3Pu11+A2riATuYpMQCRIAiC4Aa4 FNgX47NIYFy5U6hQl/MApr5Yd6EcYmoCe9SuyoQVw7P0wBtmSQGuBiUsQh/Y9TUESDOwbU0U PfhA6Due6dJ5W8bx1nj2kvoSEeS9zQkfWPItnwFx54QWdTVoRK9WltZpHKoJB6HyzbNRlQ+u EtRNUCPUzntJeXWTxQVmyB8wjNyD44VqnHhxuUuq8PnZOAoCop85WAz+JGh2QDS8R1DRI2a8 uySHhLsiwZ6tOQUDeNB7jYOVG66odHcD/iYMbc3GdFsWOnK6BUVeggwff4Kp+dcZH8guHr4/ /tKEuWsSf2m5tuY49IjQ1evRy5ynqD97kocL0ICBw0tNZLVoyQLP2TLNShpL6J/zJu3i7fcz zLRKseiAYGgfe7Dm49tehb6f0R9fH84wET+fL79fF9/PT7/08iZZB64+wkrPkcK9DVO3Q3rO +MAlTyyH1P4rrPQD7f7n+eUevnmGyWLYs9NtetPlFe4HFipLccwGsMLWNveuWFd8l2cv9a84 3DwrItrTpnOEBtoUglBChCVmdqCgnjaw673lRLr5rveOr3sxCPWIWQbhodkwczThHgA8MOS9 GAk8f0nfwBwJjIEH5xLIjGgCmuTM81dmo1bvA8ezqc+CwLlmwoHAJ8NfzWjKyGK5Vz8LYZbX O2vVd6FW2Ip+/TChwWDrhdluqGvlnvm+Q6h42a1Ki7ykIOB15xnBtk0IFhANfcV5wneWRX/Y 2eRh8oTfW/qEw8Ekf3uSP9ZartXEZMi0nqKq68qyOQ3BpVfWhXlVChZ55QT2SUraNSyXkygu HaLIHnF1pf7ZW1ZmkTLvxo+onQiEm703QC/TONN9eu/GW0cbwrSqoLQL0xtN05gXB24pzaO0 VecGvwAYtWc9egxeSF7pGx2GwA00Q5ncrQJbGxcI9UNdSgAPreC0j0tywpL469fiT/ev34Wp SWO5sX3PLHa8eu8TaoD3PJc+yYNc45Q16NpEnjHbH7K+Cgl99Pm2X+wjTthNmDiLD4kThlaf 1rjd0zO6XsLIynAst6v4LlVf8O/Xt8vPx/874+kFd1S04xxOf2J52cgvd0UsrN3t0KFfhslk oTTrakjxWo1eQWAbsaswDAzINPIC3/QlRwamdpUsp42xRNQ58qtWBSdrl4Y1PAaSyRxD/EuF zCYtvUh029mWbeiBQ+xYTmjCeZZl/G5pxJWHAj702DVsoB8d99h4uWSh6P5KWPS2xdv5ur7Y hsZsYkuaujSccwVnYGeo0fBlapbQJgan1SS9MGyZD58SNw+GanfR6n0VZblje4bxkXcr2zWo bwvW3tQ5h8K17HZDY29LO7FBWnLYa41iDU1bkmaMMkyixXo9L5L9erF5uTy/wSfTdih/0PL6 dv/81/3LX4tPr/dvsLx5fDv/sfgqkEo7vaxbW+FqRY6vAa/GDVXwe2tl/ec6nnzbNmB927aE s7sZastAHC2ioeGwMEyY28dNpATwwLOs/+8CJgJYzr69PN4/yaIQykrag3Rti2+DD4Y3dhLq OSfnNR/GofRhWYXhknznMGMnpgH0D/ax3ooPztI2SpNjxZvlvLLOFcclgr4U0KOurzLdg6kV Jm+ot7WX4u3gsXedMFRLQqWxyK3n6aPViupzoviVfMd36JbQIm//j51mSakax28cX9Gpfcrs w8rVyh9MQ2KbG9HT9P3hUlUd9FKjqyOpL4vaF5ixgVxT3+Gq0EAj1YHSMZjcFDoYOZYuW0wt G9n0fDtLV37nM2lxt/hkHGqygjTgsRj1A5EHraVOYFkUUFFurqeuAoTBnciQwl9KacXmti2V qqtD51tq1TCqPGJUuZ6mTEm+RjmX1E6jiFdOBAEcIJiENhp0pXE4NCaUodFmZan6msa2rgc4 9FyfSrzQSx58ccdSr50hdGmrt9HarnBC16KAat+hMVU4/pLYMNXiTaU6IarjzsOkgPFg86+o Ho55ehk3S01OdiHATTanN2nByErUMeCkury8fV9EsNp8fLh//vPm8nK+f1508wD5M+bzU9Lt r/AL6udYZDgLxNatZzvqVIlAW5XtOoa1nq31c5Elnesayx/QnjJ4eqgfqWDoPtUa4XC0FGMf 7ULPcSjYSTstHuD7ZUEUTDgJPn/yNQSBSv4bm7QiIz4PAyw02UrH0k/IecXylP4/73MjqluM z1AVCXG3YelO6cvHq3dCgYvL89Pfg8f4Z1MUcqnKZvQ8jUH7wKZfn+o4zWoabSyNx7uM42bA 4uvlpXdmNM/KXR2OnxVlqdZbR9UrhK00WOPYBMxR24IvWJcWtf06YfWB3YPpZShXP1izm0Z9 kbEwKzTnj4PJTJC8wG4NbqtqDsG++L6n+MH5wfEsTxkPfFXkENqIpt01N2RbtzvmUuf3/GMW 152TylVt0yLlSVH7oXL5+fPyzIPtvny9fzgvPqWVZzmO/Yd4qVULxzVaamu1UjlmDX0uY1rl 9GF0L5en18Ubnlr+6/x0+bV4Pv/b6NPvyvJ42hB3ofUbJbzw7OX+1/fHh1f9Djbeocub3V4N YJGIaZLhBz9wOiVr6TUAwpMGTNmBZ0xM0j3dTUjGcx6ytNjgHRyqt4DopmTYOY184QoxG375 egoZbfi+qKPkBMvRBO/ilHeR/Fxp4DZOqRuNiMzS8sRDy40sKKyZcPgd2+ItPgrL4i2/A9pb UCcej1QXYFWU3UWJVSAFqYJbRLrOAwHLC9tfyhUivDo0fANtFR6uID3pwPcab/3035bSlux4 wiqA5SbclOvx/qyhDfssVfRsD5JWIHkLfX7Kmp0Mb6IqLeZJ4/XX0/3fi+b++fwksadgxBLW bZ5kKVHqjJEKn23E+uXxr2/ioSl+2j/byA/wzyEID4rkJ2wiZWc3l62oQ0mfpHEJueQyHjBp V0X7fC9zMgCJ0Ox5dUSC7SF0vUC6Tzqi8iJfOQ41GYkUrpyESkQtQ0qfR4oyh3W3e9vpPLVp E0lja0SwLvDEVbEAD1xPGYxNIW/AoNFIsyg+UkpQt3laddzgnG53eXvDRoXYvNz/PC/++fvr VxghiXqAvoGZoUwwbeFcKsD4E6ajCBL+H+wVt17SV/EGbxYWRdu/L5IRcd0c4atIQ+RllKXr Itc/acGONvkhLTD5wml97GQm2ZHR1SGCrA4RdHUbmFHyrDqlVZLLOekAua677YAh9AEJ4A/5 JVTTFenVb3krpDcTG3wUsknbNk1O4u3FDT44iWENlsrE+MCuyLOt3CKkG4y8TN7lBW8/KF9G Ksn3+5e//n3/QsT1xH4pGjZcD5uBMOCl37fiBQT4HZV5FumQUx0zApqS0CiLFOFGLTU7IqKL 2lzWpv5JkATbR8XNEYaNKmCllmxN3/gFVLNvqf1FwGDIeHRSmFIYsxMeV8PE91FueHc8ZQe1 1QCcetzE2V0ZeqQbjlwfImmFj+S2JXcY24L+rEFRToXyMgUVyJTwAj90DX0yxtwTlGYN7sih W3qyH40iH5Ji0yUlkTRfYU/2AZvkjkyhw6u6TNWx3ILjxbZpapRdf9JIn3bh42jlFcB8KksZ 2j4Dxv3Dj6fHb9/fYAkK8hyfHmoOLuBgfEWMDW+n5wYhplhuLMtZOp14IMURJYOJKNuIWwQc 3u1dz7rdixJAeD8vUjo4Yl1xoxKBXVI7y1KG7bPMWbpOtJTB4y14GRqVzPVXm0y8lznwDnpx s1Hb1E/rMqzGIBCOJ0ZXHseBQWwz/qZLHM+lMGrouxnT3JUUWI1PNWP6GOpSEokZOUU3mPpi xg2xjkmdk6jC0JAeV6EiNxKElmlhPiV5+K5FCpmjVnQTiib0yJiPQq1RldQtWbIeZkRokBId esZocatnbvYgzqCgnuvMROvEt+Vgr0KlbXyIq4oc6O8M57EifvGCnoW3SSktTsHZrsmqtMXw /A2rd5XkSnNTs80T3a5sc8k/hp/Q0q5L2yN4nm1aZR1laoFMClqw24ruHhaSpVXa5vG0H/Xr /IAbYMiD5jogfbTs0ngrlxHF7e6gcseBpw317JGjm0aMuM5BO/D1Cq2VaXGTU34XImGt27ZH uZh4m8MvFVjvsqhVywZPISoKOu4C/4ofNpvqPjbgHDC1TBB4VldtzqinpEiQwtJ+s1E/wwf9 NRVaiSO/3KRHtd/Kdd6qnbkRbTaHFLCqqMUgSQiF1VhUJLnKA1TCgyUZuLg5Kh12FxV9mEKp 6PSO1VUeK3wcWy35FsJzfMlrqC/vUpX8c7RuTf3R3eXVVky82TepYuAjd7UCL2Kerk0BpokK qOp9rTKBy2ocBAY+YG2Sg4e/Yxr3sPhFh8aobmV0NGUHQDSsJbhuyTyWedzWmDVIq63GF54p tRXC0buiy3l3y+VVXS4D6raP1SIVDvMALudBuxJjc5q0i4pjRU0oHI3JQ2JF4gOwX6zKpQ0Y 0m8m6IxFQy9rg3bE0fFhOEUR4fKjkpIADogj60blHhACsB/r4gctLF81c8ki0KkboyyHB64G 5vi77yKvbuSaWJdGpVZRl8JiHGx+Sr9b5DS7qinIh5pcD0tFQzKMrRaxXHALJpDWfFZGbfe5 PmIFIm8iXJk2JN66fE8FTOYoWIKn6hjutjD+NSl023bHujIyBDZDkh1OnaeGuYrRy/Oy7hRL eMirspZBX9K2Vts4wszT4pdjAhOnbif7BJan7Y46/+aTZ9FI71CoiXzaEpY9DGlHVkKNCBE4 uRIMlsjbOJf3R0S+kYKIiSOsxMiMCjA/dnksWZwRZkpocv55efmbvT0+/KCuHU9f7yoWbVKw oxjj92op28vr2yKej2O0NG1VejcaktH/g1/9EkbyCifoyWTaBRJuk3lKJaXcdYsWrwJ347S9 w8OPKps3+YGCajb/MIJxTied5Gi+cKJXIzOe2h+Zsa7CKr/z7Ggy6KN1mkri+c7EHYFeKPUa ZszT7W6d6jLtcW10a+YeY2leYV+O79szj5H1l1plCPbMYmi8/u4uUTu5nJrQvqs2eYw7DnPH TlekftlqbjDYDttZMiukto36Wu9KrdQpEp/po3XihOL9oF6zptw+Ujf3EWUVaMV0heBpTkw1 dnGE8RGVYroi9la2piaohuKZLwfWXf++UBkh/HD9n0+Pzz8+2X8swEIt2mzN8cDJ72c8iyIs 5+LTPJP8oY2xNc68pblXyuLQGmJhcDyGHzdj+4QNoO9lSR5EcqK8cdWemAK5j0LoXxzgY9ju 8vLwXTEbk5y6l8dv3yRb17MBFihTQiqIiJMWpJ4mq8GIbWvKeZPItil4A+s06oz1XfMDJcJY PMiTMFEMzkTeHY11GDKJSDRjAmU+Z3MpPv56wwtJr4u3XpSzalXnt6+PT294zHl5/vr4bfEJ Jf52//Lt/Kbr1STZNoJFTFrRs6jcVh4v6X06cN9zavJViHB/oTIJbwjLMCnOGkcVPTiImqI4 TjHtWl70HTDuPtz/+P0LpfN6eTovXn+dzw/fpTy3NMVcKWZ/5JMpdUKJ2bq0gJYz1OBeAIF+ 6BaxYxWfusOQc5bPyXiIx+7yTlxSYeSrtMqkwzmETQkK+u8ERyLCIIDRqWSZFAolOuT4Yayw fvr8ZRmEhuuwGHUrsu0DeSUJkRg4SeDrTqxlAA4JRSVeMF5kmcQKkOeHyAHmSzPoAK8bmDJK avF+48oFlfHmlMqQsjk1GqSTIfvTQfSbMANXTzBxUq2bzdBAUl59hGKayQlX7sS88phaUqll 8GW4GMlqeB5PxzpFzdpQWU9hW1xic21gYteyqA64facyMKTY/XKsbvGso6HrwKTjWyaLEEDx rQTi2+HAhQLZYjefyqzsKISkUQlPWyhf9rnTNJltTiqfM26L5ClYfGZI+4EJ1o3iHuMd4XJE JZoEqygctq6WQgV2eR/9rq0ZW0etqvZF//lkL+KnR8znLZrDyWKY2glw02WlyYiAw5snQkXr 3UYPdMgr2uRKksw7Didr3g0lGbjCOI9lvU+HKwXXyMxRoAaC8UqWwT4jCcz9jWqhJzietXcp /a5TkYcg+t2BuBc0ofn1C4KfnXw0AT9BSds97pnn7S39ATCblgOFsO+On7Y7NYZeS0aHEtBy 4CN+L6lMq50GXGPkxbrS4HNsKKWQknRsBiyfGrYR3l0AeW6UeGQ8Eypyoa+gHx9eLq+Xr2+L 7d+/zi//2C++/T7DQprYaniPdK4va9PjekfvVcEyCQYFtSs2Hj+LnI+wU5M3tCGJt21dptPx J5lCMi2KqKoP4hnpvNPAPf0T+LdNsSPT4fYEYrfWRRNLuZY44FDb4iPoGSaRbjFhelwI237w A28ugjLc7BqdENPTN5EU7JivK5RCJth84tlbsqfLtMXCV1J4F689fz2/nJ8x59P59fHbs2T0 8pg0aFg0a0JbuhD4wdKF7ir4FEa5l0IT9JSSMnK1lKNjCNht7isreIqKxSUdeFyiaaiUFiJF 7vXX2GiUZ0TJ+xUCbl3aIRkXRKCJkzgNLN9QQsxvSMMK6nohG1acNkV6kBLCKngW0bgsLfOK RqnhTMVm97kyJL0fc+ZJbQFwwWzLCXlomSSnBqVQLvenDMLQE7wQNPL2ioCpD5UhO4yojWXj 6CkBpdZEPMawoSTs9Ci/wUjd1BsMjo9LJ7DtU7JvVEEhKjQkJx7wJ98lLz6J6FMWidvjI+qm zzmolRgfs8pg3keSbUvveY34Sr3No+Gvf8+onS9ECmlkSDXc5jAu/XjvilevVPzKhPLlR/0K MqDXdDJVsArjvWN4DSkbMseQRoulHaCZdBjMut3a8B1Fgy15j4M1eA3k/lV5iLUpDC8jhmVJ wCoC1hCw23HKyp+/nZ8fHxbsEr/qNxrAeQBPDRjIxh020bGfcbjIli2LinU86mRGpQosc/mh sfyD+oDWQBUatvJHqi7eoYRI35mUk7BmzYdMtWoBtF/AX4d05x9Y3Cxt0dINoYrpSblzAoue 73oUGErgxjB4BpK8zIDmXYvbE++TNP449TbfKMRG0rTbvsvpOmk+XjfMDh8nzlyVmCa1nSsc 2s5/wSFm0v2w4IH4c5N9XPRAX26yeEMvMAni8oOtH/v/uhT2afUxTv3AN8yiMlVAx4tQqFbU 62GJJvAdcwciclDDj5QzKLdh8HGKXgWvVUgFP5BoQtv1DFWEthjlVEPNtRspegU08sdpPqpH PbGqR1doCUtC0wbuFQ4D92PKG9rhtWJCt/cmP8g+kGOg/w8T6yPdTNrs+CagyeNRyOjIaTR9 lNAH3KbSK8oL0Yl7DTHqWei+Mwlxkg9rA9L25sVcoKfGkzCtm6XZV5igh82Vfm398+nyDeb7 X0/3b/D7p/SG7SPkk//GugiDXMWuDSKR4ndyF7rffZWBaZnuZYuFlF8iQ7cjMsB35eRiFrFh FLjRUisRwKYQlzOeOtefsS5dqHmV1ONN3vtEEJkWaD16bdP1xu+Vaxo6I0EQvoMnbfeIXWmr 6x58tTErvas5mIoJPWM9RY840DfU719nwCcLE53xGRqSUFPDyTClMzpSCwOIn0mxLfl2xhbU VyXFQ424yeS4kxMGPHoH0TTKNaB2bA1fFXV8gxvx5EjldZaMtdewXUNjk3xP77MN9xeFkzM3 9pc8ObG+/8i8Zo+nXxRuyPDhOt5V/FJGTj03oD35c6IPJ0Lfeqeopf3BopbOVZajtvSXVwnA 82FcmrG4Th2wAK93nSRgZ2kQYo9zDA3j2KVraJQ0CFi+yffU/W1+MGooHlEsXoUoWUPZM40b XWcAMwZS9SP8FMfCUQmA8v1pY2OYHjag5gp3lWflpwh7IKbz9IwkNu6IxlR+FZGi1SpH1NY3 gG3fwBF80ZqrW/LaqE9z80c+fOTaxEchIBz3mgCQwn2XInS7d0i275Wxd9k7FEnqvEPRLrWO EilWyOlVCizDiBeMW5fjbbiCdkOH0/i9oZjtHWvyCi0ytTcW5f9f2ZM1t5Hz+Fdcefq2KjNj yU7iPPihD7bU475MtmTFL12KrUlUsWWXJO8k++sX4NHNA63NPszEAkA2TxAAQaCIazuhZrnq SgfSZ+xxwcaJxAGqy/wmQX8x6xYJTaBNmnjEyuEBCC1K6SBQprc+qVxTpZgpqLuLkZTommyL rn0wVMGYLiifYZVVZPP8ctxg2pHQkMcZOmU3vHaSRhtYl6g8h4FFbAkaAUeKEQcJlUFrSFQS tkC17PX58I1oVFPaSe/kz64SPsT+kIOQYzRDByoEUNZbSdZfFA/tdNqjXKugj/8Rvw7HzfNZ vTtLvm9f/wu9px62/4BYn7p+gEbaB/0h7JXKD5ZE1TJylBUNl8a9SNCp9HRusVUHzcmrrA7L lz2O1HWolqkmy8siusUK1+EdatJyS+yxEKKq7adMGtNMI1PE8uOQqJOtDBtjlW8/T7B0l9NP Z3q8yHiwB+L9y/rx4eXZ6+iw5aAc7Gf/msbF8wQkuJhsOVm//EC1av7K9pvN4WH9tDm7fdnn t0EjdCX/F6nykvyzXJ3qhTTjk20MSipD/6q5/PlzrEbEgrR5W87IBNAKWzVOiCOiRlkl28l4 c8X2uFHtiN+2T+je2W8nyhs/b5lc2lZqU7J3v1/7EOxb6/rk4wfNskcYHPDFqPE4PCxrHjm2 D4Q2mAf1jts+UZpxOeY4hA2GETtYlN9I2crbt/UTLDd/PduHBHLqzn1Mp+AipiQ/lU2+sI8t CQJeOQ/qAGBDxbKRSFGmSODVc5dUKIUbpqB7SPbDXdBaR6LYuDnDZ9x5FyqZQPjwy8EbZ8Jl XbTRjOFD1yZYWj79xUl6m9q691ysPoBcqxiXuV1bbZ+2u3DT6UGhsL0j72+dR+bbjcxUnHHW 3+vpn2ezFyDcvTih0hSqm9VLHQiiq6uUlVFlR760iBrG0ZMnquy4Aw4BvhUV0XIEjQ78oolG S0dC5Evmtzx4UxRhrCSlzMULYXXYwqMA6CKHcwPQcnYNkpjTYRw7tmSV4xrmIExDqpp0/iBp m6ZchCOgSPolnmbOTTNbtQl9LQzCG3c88/Wx1aVj+RvjdtIVoBS0tCCOTp5lTjs5Zs0Mhi0r AgqDF4W0S1cMNBtnjyImH8lfKvljSTEpGf+kS1MOjXXkPm1H4U1CtkMJ5VmZTDsWW3vT5D8t k+vAQvHhEuOBlnQT9dQJXtMPWHLST9CJqgE/8G44c4RBBI77giIWtY7cF70DCvQaoRtg3FXc hsSMg7zswdTC8ZtnoiCNVK/83v1C8zxe0u8wEJuX4/2FnUubZjVySl3zaVzXNt6Aa6/jmQ++ FR+nduAPBIJ4O8HlJuwQWxpxMQ37COMievfG0SZLcX0ci7IFnWtXFe6v/51i8lHcFW1cl/jV 2GpA86bbO7OXWvv9j0RoXuQt4d5C6XxRFNOrpCloUV0SNJySICQKd2tQodzCZFgTiUajjtsy ydQ9UM6SqAlgc+45oEn4HeXbrDFuzAMELtsr69EY+jljSMYwIElUdJkd5QFf0cDZ47g9mymA 1ZogpskritsB5rTrPl4NjVOZKZKfIbraissrkFycltkuMQoRfHR+JYIaB77Ib7tFlTfzHJ9C 5SmjvFxlsFN+iy/u7QcDCK3a0g2Zohkx1gtSZpxXpEyGTt4zVJObBN2YHW4PPK7z3NIHVcaf xr4xILbcoERhTxq6hA1aio+J2vmnzwFwJSbnKx8qNdHLDwHYMGlrzCWcUkwpCvyVRPQxrz3a aLdghYQZ+BR+HQM85PRrYk2g+OhotZIj+n1VVg15Cw8SWuyjqyYpw6Y0uWgjYFHU2asolCmv dh8UWKgmpXaCIkB/Zb8dYWomDUduVTaTD3QeQE1UJyhAjX8QjfH+F3uPsvCj+HJp/MrcuCxq /0kaiW6Lhoc18y9n4u3rQSobAwPTkY86QA/VWEAdgthBI1hbO2mktr3gRZv1CNBIMur+TRUa eDQUUw1GNMWqJQF2FwnCorghkGdgP8dKixx4TlXLBrgthiO1m15VINoIl584SCw3UjnSqHZZ wLJsLqjWSjh+iT5PgYJH0uA5PhTDHSfQXLifHdQM+Wt17n+/JwABmzJQIo1mxXKGZQAwb/61 rB0Opbm31Bjnw8CcRcMiPrkAAqh6PvIUySG9JEgdwnx+ef4pHH0lYwAYfiQuSgoTk8+XXTNd +G1UWsn4yEflxw+XHSi7TvRSfCdnjgt/bcMmx8c21Dt/rFBJsTeMlXEE416WXmNdfNDNXggm ijqPIG1LjcsN+iKo4SuRalCIW9LoXiZWM+AHngsWc4v6qL3R7nH/sn20RKYq5bUdgE0DOjju U0yVY1fk4jIxWso8aX73dYuPzN9//1f/8d+7R/XXu/Hv9e/x7CEyDbeGIqKOvWpZ2uG05c9e FXSAUubJA1oE10ltexMohFFZGF7fBMUMliiIr369GlEVYZkKx6VB8oi8zai6RVPCwZRGFqLn GV4tPZxoB3J8smdqa+IzM+sLvSTpfUEVWWYfgWeY2sL7EllobHo6US0xRMmssQQ5kUw/rVb+ 1+R1nYH1n1G18NJ9c6kCFd6dHffrh+3uW6geQD+tmluQSHjd4kNFYSsNAwJDKLcuQqYdcEGi XvAEjZaVqL3nrQO2jx1BieSSZbTW2Wwg3YyEChIKJ4D98R7etJS1p0dLi4i904gR7E1OjRcs GU1U5YyfkLZ8ks5JLa2vhBvc996D7L6goRGd85arxyM7NS3zcZrj0gVLEGdX9ZTA9qHvB0Om akTGGbtnGk/0Vn+vQQ6ordhe1ZzNnKhsxsoXQrooWxDQKq+Fnj3Qk7rKz/TljEvZdCPzAvqf ORPgT8pSboN7voXBoKBXqyHTqszL9/q0+UllCAGFsovS2afPU/tJvwKKyeX5lQt1ox8hBB8F 24uT+lp/XgJ7axx2JPJ65MqxyMuxB7w4thz+rlhCPhOtF0jg8ADgnjLUTJe45ms0794yyqxS 1sLOP4nPl3t/APNyXIV/Te2rqWyL8UWkmGCn4gXxNI1a1mUC1gQXzqIDUC0wIUNirTG2Qm8G +0w0kC6Wnni1+9o9kyG7AUG/bIZirEr4l8YPpwmIJeguLSUtZsLPBpD6gFwB5GWGU20Uvvo3 x+iibh0e1XCYUAXu7iJe0T1QeMMLHWDLmX1MZ2XbLSc+YOqV8mzo0aKtM3EJfSa+rZCdPRt4 4DmAxDkV9Zt417xdw0gXIJK631D3ruuH7052BpEA77OZrQKEh4EuqXTWw+bt8eXsH1iDwxK0 xrlO6P4pb5d5XqScWZzvhvHK7qInpLVlE/yklrJCrKK2tQOtsDJLu4Qz99mn/McM9SB9h/2y JJpcqLgVKsYDzTIqMlU7SFBJnVrf14Cuwou9Ir9XsTgtadcs+7q7u7Vb6Gx75TqzeXjbb4+/ wkAbN8z118ffcOrcLhjyGJxlWsljXIDWjvdiUAL2zIzuaqyrpHxKFQtgKdWGLp1j9gIVcZcq jTRyV+eJorFWBksWyEQwjoWQBpmW5/bFgSFwlhOGOk0k68Bg2X5aIhKN4aXm1+/+OoCO8tfb YbN/fnnc/KGyAPUKiwmuNbTKDk1UiPL63dN694jPFd7j/x5f/t29/7V+XsOv9ePrdvf+sP5n Az3fPr7f7o6bbziP77++/vNOTe3NZr/bPMlsGZsdSmHDFFsxIc+2u+1xu37a/s8asfbz0RxN ZGhCrWo7wpNEoN2vAEbuhgjzKFDKcQksrwny4wY93vb+jt1fuP3mxLXTB+9K9r9ejy9nDy/7 zZCIyXq1KYmhK7PIeQZtg6chnEUpCQxJxU0C6o+9YDxEWGQeiTkJDEm57XU+wEhCMxFhw0db Eo01/qZpQuqbpglrAGWUIC2jKpoR9Wr4aAG8dpMRyWSUnYBqlk2mVyBaBohqUdDA8EvyH2J2 F+0c+JLNjDTGD2ukjri3r0/bhz9+bH6dPcgV+A0D5f+yzzkzM4KSqjUyDRcCs51/ehhJyFMR heuunBKdAA60ZNMPHyafg65Eb8fvm91x+7A+bh7P2E72B3bc2b9bTF16OLw8bCUqXR/XRAeT hL5nNXN2Gp3M4aSJpudNXXyZXJApY/r9N8sFzD/RO8Fu8+V4SQZfAJa1NDwjli/EkGUfAk6R xNQaSDLKrGiQbbjQE2L1siQmqi743XjVdUYVaaCR42VWrSDKwKmJ/m+npiLCGMjtgjIbmh6g L5AZxTlG5BwZRCcIn+FwFHBFj/fSC3Vmcp1uDsfwYzy5mJKThogT47QiGXFcRDdsGo/Aw1mF r7ST8zTPQm5F1m8WesgC00sCRtDlsJxBqS9zqtO8TCcfyaeGeqvMo0nIM2AHfvhIgT9MiCNv Hl0QbIeAoUYU1+ERdteoehU32b5+d2wB/X4PBxtgyq3P7zYoo3d+xqZgPUQY/yqn49f1NKId eR45ENCZ0Q1LZ+SLWYXM5L/hGtJMMBxBxhvl6eaPdrhW2rtaBw0j4UOIEJPJ9XW/ORwckbDv Qla4+pBmVfd1ALu6DBdIcX9JTBFA5yfY1r1oe89MDmLxy/NZ9fb8dbM/m212m70nvJr1UIm8 SxpKTEp5PPPizdmYuRfD0cFFpxeSJAKuf+JcB4rgu3/nGJKW4V1T00eN1fLr0/brHjPR7l/e jtsdwVKLPCZ3BMI1a7LS4YzSkDi1/E4WVyQ0qhctTtfQk5FowxZBXsrv2fXkFMmpz4yy16EX g7BBEvXM0J/2OXVQR+JLianeQEVExbT90rjm4AHdLOJCU4lFjISh+WWzP6ILMYhbKpM2Bo1b H99At3n4vnn4AYqS89JAWhq6FrNBKGWa52Pe1ooUVgEGnhYtTWxsOb/RDBU5eXTVYkLPiHcc Y/1biw4ddnJ7s8Y5nBEYQ9LiNsaNAY6PKmm+gJZZl8ayR5AUrArsfknN05xiNpi/hIFmUMZO PixlbbAz+PW+FEmOL7tsfzWD8sCixYC1JgGctXgSEJFh65PcIpl89ImVNEFTd3m76JzjIHGe Y+NP91bUxcACZPGXkVf0NsnlKZKI38HxQLcQ8HHutvCjc1Yl7i87TH4e97LcQGBZ/n2JjWM+ t9LtsUbBsYQHnklyZUHxvsWH3+O+zyvv1JPQ4CyEQ5CoGaFUzXDokdSXdDvgDCTIJdih72dk dY8I0sndkHeze9td1ELEgJiSGH0YewteGoQw14I1Beo1WVGXrvfYAEVr3+TjCA4+aeMigQ/T YC8uWRdxHtlpw9DV0r14RpAT+LjCqmVs56iRdjtr2iKezGUJGV8YibKad36+xp4KCTDcKMzG XJ7Z1jABqqorg+hKhwvIOMsG1dR2yldEcRZQpznmD6YwEXpp9YZ2CtEJ6o7CDEEMQw9yDrcf z88KNY3W7Ba1o2Ti71PJ5/vV0Naggjibu7jv2shSndAhFM5aawzKJndCQtQyNRgo9q2dCU/g fb6TIbmJ8ImLVS7+O5rZERlaPM1Ih5DgkHKNp+ZUldDX/XZ3/CHzTDw+bw7fQqt5om7vMY9a AQdX0VvdPo1S3C5y1l5f9kMAGwwfLwU1XNrHdRnXKC0wzquoZOQxPdrYXsDfPm3+OG6f9bF9 kKQPCr4Pu5Zx+JK8+rqenE8v7aFtYGuid4ydbp6zKJW2OkBZm5KhKzVePMMGtGder1cmQ4Di bUkZObkGfIxsSFdXheOTpWqBrZuwLltUqkhUYObsiyllo1GdaurcvYu167lj0Q1ea+hkG4MY 9LsjKMdbainbB7Ow0s3Xt2/f0LKd7w7H/duzjqhuFgHm2UOpzPbrtoC9VV1laLg+/zmhqDAV mi21hDi0jS0YPg57987rvAiGQ0jecNepifMHXUjrrCQo8W6bFBG8mvBmgaRbxIJMSC6DPd8k gJQHYV5owc7kI/2dUXZ7hdeHLFiIeF1ndDB9V9FXNkxTgxuVrVpMxOheWKtaEC/ZKSVqYllY eJhQ0hZ5VUlgYCxxLXUOguTAI6R4DUOKADaR9Ds48b27mlNO5y4RTxZyh4/0BndRIuOULajt Zqh01hHD9yYei5BXUgvkkRZ3SOYoNkgUq2TuVDfLmiq7pG3Nesrlqzx5eUXJrok8+HEY8CSp aliCeQu6aBelaS92ubdbw4rxujBXzzKU2RKJzuqX18P7s+Ll4cfbq2Ij8/Xum3sxjnlt8Fqt rhvyetzGoy/HAviCi8RJxkA659ZRUmctOmQsUDlpYfzJVFkK1c3RN7iNxI09dYoR9aj+I5Op 9Zm4rls4pKPSImxGEvWM0vad6qu9u4VzAE6DtKZV1dODq27AgXU/vslEeNYGH+4ZCbS/crDH N4w1nsKsdGC8Sxj40H8Or9sd3i9Ag57fjpufG/hjc3z4888/nSRJqmIO4uOiZSvSZqjXko6w EjAwVS7cA/xOMDL6v0Jr5xwpQ/b5LCzVBJ16YI20C65u4QbU3Z36KKlgiiRzipGz9f8ZK79b sKNAExtxNpCyAjBizJIISgCwCqUbjo7CjeJF4ehpBEg3BYvoNMh4Qili+G/JeFwL5m72H+p0 elwf12d4LD2g7cR55C1nIhdEAxoEj6+G4CBRrhAea5fcFtSrqEVthPOFdLg6sYNGWuw3LuEw uFULckXoOwRnA3WE0msJDxJ8BdXDh1c0gBlbSBYJZ5lbgV2cO8/ZEcRuReiz5LbY7yuwHiUf cikZUq6R+B0Vkc7ZChE+RwoH6Pnj1Q9qhHp2aJnFeg6pFJvrdzpn2PXx+Eucv598np6f9/Ic i3jxRfmv3dj98z5o6z3t5nDELYi8MsEoBOtvG8s1aFHZypf8qUbFFhoV2B1+BWMrOQQkDnep x3PMEkZtB5TyvPpb6QL2oKpDqEeNH+BwbCf1Us+N87gBZBI0/uHHkQG6dwPFTWo7fSOR3KBw fvLWg5d5JfP5eGCXElP8qUYgu/RXaYxXYz7Qtoz420LqL0tMjmAKUsZorZKTHFq2cc5W6aKk r4FVJ5QirdycaGZr6ETSUI6VEn0D+NYOsyWhcolmHjDO2zIYy8XCfmoiQSvPIiSB6MuYgaIR dJSjqbBFOXO8D/49j43L0yioUxkhyPqyvMKXKe1gcxmrOMt5CceVxZ+gGKz+IvW3HQid6k0A tdHw+WFbkChl3ycRllE+WGFJiVm47a+N+PW1YhyrJi9lXrYqZ/ewMolgMP2ZNBYdf53JKwNS ZDfV5c6wqVHGXYIamBflqxyVTU4xRk/QAN1R4CZJ62QBXIRMB6YkkjhXPM1RHjzT0/8C2Pae CnZsAQA= --3MwIy2ne0vdjdPXF--