From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 20199 invoked by alias); 8 May 2003 19:26:01 -0000 Mailing-List: contact gcc-prs-help@gcc.gnu.org; run by ezmlm Precedence: bulk List-Archive: List-Post: List-Help: Sender: gcc-prs-owner@gcc.gnu.org Received: (qmail 20180 invoked by uid 71); 8 May 2003 19:26:00 -0000 Resent-Date: 8 May 2003 19:26:00 -0000 Resent-Message-ID: <20030508192600.20179.qmail@sources.redhat.com> Resent-From: gcc-gnats@gcc.gnu.org (GNATS Filer) Resent-Cc: gcc-prs@gcc.gnu.org, gcc-bugs@gcc.gnu.org Resent-Reply-To: gcc-gnats@gcc.gnu.org, kbowers@lanl.gov Received: (qmail 14807 invoked by uid 48); 8 May 2003 19:16:01 -0000 Message-Id: <20030508191601.14806.qmail@sources.redhat.com> Date: Thu, 08 May 2003 19:26:00 -0000 From: kbowers@lanl.gov Reply-To: kbowers@lanl.gov To: gcc-gnats@gcc.gnu.org X-Send-Pr-Version: gnatsweb-2.9.3 (1.1.1.1.2.31) Subject: target/10691: Invalid assembly emitted when using _m128 datatypes on x86 X-SW-Source: 2003-05/txt/msg00640.txt.bz2 List-Id: >Number: 10691 >Category: target >Synopsis: Invalid assembly emitted when using _m128 datatypes on x86 >Confidential: no >Severity: serious >Priority: medium >Responsible: unassigned >State: open >Class: sw-bug >Submitter-Id: net >Arrival-Date: Thu May 08 19:26:00 UTC 2003 >Closed-Date: >Last-Modified: >Originator: Kevin J. Bowers >Release: gcc-3.2.3 >Organization: >Environment: i686-linux-gnu gcc-3.2.3 >Description: When using xmm intrinsic and _m128 datatypes, a movaps to an unaligned address can sometimes be generated for automatic _m128 variables. I have seen this problem at all optimization levels (from none to -O6), on both gcc-3.2 and gcc-3.2.3 and on Athlons, Pentium 4s and Pentium 3s. Attached is code which triggers the fault and the temporary files generated by the compiler. The below snippet from the assembly language temporary points out the faulting instruction (around line 88): call _mm_unpackhi_ps movaps %xmm0, -120(%ebp) movaps -152(%ebp), %xmm0 ===> movaps %xmm0, 4(%esp) movl -92(%ebp), %eax movl %eax, (%esp) When running, esp is 16-byte aligned. Thus, eps+4 is not. The movaps (16-byte aligned move) instruction then faults. >How-To-Repeat: To recreate the files in enclosed in bug.tar.gz, run: gcc -save-temps -Wall -pedantic -ansi -g -march=athlon-xp bug.c |& tee output >Fix: Unknown >Release-Note: >Audit-Trail: >Unformatted: ----gnatsweb-attachment---- Content-Type: application/x-gzip; name="bug.tar.gz" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="bug.tar.gz" H4sIAGCsuj4AA+xdeXPbRpb3v+Kn6LJnUoRDUjgoirbs1MiOnLjWlj2RkniSTaFAEiRRxmUcIqWs 89n39YGTOJpsyLPZCSZjAX289+t39UOjAc7i1fGDez5keSyfKjL8PZG1UwX+qrKm4uv0eCCfTk4m J+pEUcYPZEUeqycP0Ml9A8NHHEZGgNCDjzNvYwZhbbut8iXQfPFjBvqH/4/m98gD9ClP5Fr9q5PT caJ/RRtr0F7RTsYPkHyPmNLjP1z/jyx3bscLEz0Lo4VtzUbrb3pZ2dZxLDcKLBcX9x4tzKXlmuhm rC/McGPd3dlmfzPYDm4HdwNfHvjKwFcHviahhYd+Pzo6+u8eQrruTMbosa77MnqO+uxS6vuyNCDF SrFYkc7KHdViC5V11IrFWq6jok7hT4gbbKC1rkf4dEtOY2iWNIyhWHccPXZ9Y/7R9nQ/BIrhADpI Z4gdx49RjIbfbGS0ldFGQVsFPT5mBMICgbVVRyDEBFS0VRH+V0sJQNcw8gLT1n2r/xUW0q/yb9A7 znpTAr6cIBiN8H9lAuuEgFJHQAECBHw1gRSBSgmEOwTUZAgtCLQ6AhoQ0PDoiwSonm6hOdPTnURU dJT03V9XtzK6k9Gtgu4O1NWtiu5UhP9t1JXSoiuKo0FXNQRSXRWHUKErpUVXdCANuqohkOrqVktl 8Blt1ha4vCxlscCwrZWr+1HQ9weuhPo3nrXA7ghH7IZQZy4QhBDwT0n6ut93paEiSV/9kZz1oA45 huX2cStkBKv5AM3XEJEfP4aLGySh3wE4LfHPMu/eDNB2gG4H6A4X+qDauWHb3rw/lQcQQlhZHp0y gUFC+YaZge0ZC2wCqL+E0whA+4h03NY26PtfAxXa6raplaayVndNrcZT1qo6oA4wtwEmNiBtccvA jOLARfJZ73Ov10X8x/O/F0d+HHVBrfpomf/HsqIm8/9YneD8TzmVT/+a/7/E8YNpLCx3hULfnIdo GXgOOl57jnnM5HEMPmXYx5AZHK/m8yH+a02mk6GPz914O1y58bE2UkfaMSHRe+m5S2sVB+D3Gyta P60kFwZzQo52nCdd0HDoBxBXts8rOpFKbxUYzjCMl7gR7d67XgcwCOR4C9N+inwvtLY9II5uoKvl uYi2OnhYcx8yl6FtuKvhHA0hS3o+nz5Bwxs0/FbXv7v88aWuP9eyi7evL9/9AEVqVvT+/Prl928u frp4kzX98EE/f/Fa/+nih6vX7y6fKzJtf/Hmla6Ts9i1tuwUsOgEFbvOn+NmWSEanoe3YWQ6z4kY SMXlO/315ZvXlxesx9X1ty/1799dXV/AxXMFusz9+LmlTSdw6hjzNYR1dgkNCieMghGtbZBrdloo 18PQZAVR7JrFJvmSrN3VVQLu7dsP7ExbXL77uXB+DlfkVgUNf4ZYj4a+uTDcyJqTUqsHskYv378v 6h31QX+gXpiayFDeYDEdg5hh6lm5XoBt3/Vcc2uB2GAGWliBOYcp8hY9rDKYXSNhufLDjNwiBoZz IzJbiSVd04T74Wg0eohC0wjma4QDUxSitRmYT3M5OTT5prJJycJZh2rDzyrjMNgpO9BTikSTqwt3 gbxlgtgGOY8EnHEOBruEIAGhYG6CBS2o8tHwU2yZERouYsefGaGZWIqDuT6nFjfc+mhoQFaChqsd G2IVifEMPUIh3NuqSPty653hSL2juef4kE3BAG5RRScQkgGZ6E9o+M/bBE0ekwGDd2a2GaTd1JGi jJ5oI3mkUlhDCMJrI6JcJRSH2DpfvPq2soeKZ2VVPhXQjWfbYO4QyBxk2ksWOha3ruFYpPVHAEso 2QvaeRR6wJmaIBTPg0iBMeavLXx9KJ4gmpkruHf10PBNiYg12y1LCNfXtLE8vOfxaET/Y3oe2ngG I//q5hpO5uUiAamY7qIkZpBRJ9nkX8ef7UjW/6x75NGY/yvyWFPT/H8CTej6n/ZX/v8ljkdIQQ/J XAlpCD5/NostOxpa7jdJAUxUjgGTOEQSMynM98jP9sfJKuJDqNGgXj2pbaBVdF+aBtzgmmGOwJOm NlU0IAM+ni/MZYGI2kBEJW3AIvdkhINqGMWzHCNNbUJLGamTWpHgBuyg7MQyMUwZBJGTg6J1SVTr RbeQQJlLlF/rQaF1Z+rRGRHHyf3wg2xuRXht8NIQYzZukesj9KS+SUY7jIJ4HvUQWXlChMun2IvO 0qvAdPDFZ8jvbzBrOGr6pjAzAmlRSsVmZEDjmtaAz9xGZuAy6SJdn2Om+sqMdGemz+NAd4wtXYCT EAHFOiy8GPJEZESQhfehm+eGEVtR03XXjwIJ4Xu3KLBmcYRvyfrQygeb1XVJOkvJkPW5yLNEaKSD B0L2IYRARidlN62QERsyaCPyFrt8wB2BwRwLEbMc9FDlwdYhC+0hdyIgCZQJh7rSIRMwFYPmBNME Z0AY6Dq+8SG6Z7xTryyCiEVQ7I2HUjojcwG/6nSdKk8HSlBsdAK5HfEq8GI/hcwg0SVbhmjZJaID ARF1FgVldyupVni8JPKjQBWBIIHfMXpB5Jn5DnZG0OBdbDBx16PpbFy8I+wBVRiki1cJdL2gtB3N 3c9gOxlo8yArx1hU6q5m60e7n/zpIWoO9OjMKOhRJ7UskI/H9Smsls8XAnzfkKUkrIY8IwxpXSFx BCmb5oJOrifqaTsP+rTRIU/+UD/NjPBJVR5BGxZTEkpiXibhOqYzG6AiyR5TWiPdXISgtAOTEaeX uk7C++Fgl4FpFogxgU3q78WKAjNmXhAlatll7Hr0KWM6nkICaG4t1hf1gf0ydufssa/EcJzyKo6S StwLbpPCdjhAf8pBn7oE5Mame1ORZxqOWYzlSU1oznGu2dbxEZqcNN3Y5iRGn8fskmJ31YzatCkz Sm4uMLk+7erDTc/S1SMpI0wNAu9wyV9LlPwTXl+asXX6Elld/2jelmmzIFETYxpdiZJKh5FeFQyO cPkUpsaacmyhXQWIgx2x71mYWOS2yhjJ8KklljMZm/TNzRhtBB6hU4UnIcZ3h/jfBJgbO2aaHy5M 13NqA1MFXErOJvRyYBnRXAk3ZRjHKceNENnpARmru+sLYV6j1DELnSJvA+GT3eqX8gp/M69VeE0q 0sxuM488Z4b6OXAJZ10nZ8XQwUg5sxDDDBtwhvXT8V5oi4yBLgYcZogLnVtZNsDNM85m/+mkaRUF 3+cl64NI7WYZK7cNMV1oG3dMVusG6v0gLQLNzwd0/2NF9uAtyKmu/6RevcaOSmJdseuNGlq8fUs9 x+uWnuPva3pOP7X0nP4zw4vTAmsO7S3XJltPYRro4Q1VpuNHtyzv6P1O9oWRhWvL1S1DU6HeAY+Q yD6pHSpEaITM/CYKLWgeWiBFFl8tSjC7AdD1yMG7yYo72qBhbkcW3Ygq0bbVXKFTxnMy1jHjZANr E9e0qMQyx6ppiHizY6j7ljLJmDnKILUcR6WcdwZSkCehEm5mRFlY+xKlkrtSJX4w+ZEfCmaxoWDA iHNg2NUeYGJxycSckqnHkm1KtaZCaIAQ0Jkx2YCz5eCwq/3gCEqH4tksOhOPoOlQPItPPLbThgdv Qu5CXXY36iJwulCX3Y26CJ4u1GVzqasejrFYCCsKaMw4lNQGQjTWLJKo16iaNhSi4XexWIj5D1AI u1BJyKOTdhziWgl51NIKJBYWSNyNRITnRIxEzFLDeCZsIUBDzGkpCEFhAJEuRCHotEBE0GmBgrjT YiKCJspwiGtF1GkpEEGnBSLCTsuAiEuEz2mboDidzHOYimgS4sR2FwksJiNoJ0Cii9wMkxEMJLZd hpGhmHsx3NZyGUoZx6B4l0opETCNWHa0k6xqCkEp8G8VRiGqHiiMYlwVEEYJzAHCKEPZRxh0EURU GDhVz4//cHns4DlAHnugaYITGJ34TWB04DeB0YXf7ELZTxjifhMYHfgNFYao3+xC4RdGNxE16CKi Bp1E1F0o+wmjA8voIqIGnUTUXSj7CKOLiBp0FFGDTiLqXmiabjPdRRnNAXeZeAdJEYxSQsN1y+su XC/qBI7LjacejhfsDaWMxAs6wLHtAMh2DyRNj2kc3/wkfOtJqHDcaTXiWEVd4FhFgnd8iUQEbykI GY57inaRiANZRYK3WYlMBBdKCBmOpZJ2mYgDWUU8azYNUd+M7szAY36cPS1t9FrH2eq4F8fzU6DP xsmenSrJnGLJlFPs4jdN6esQyfg/0Vch6MsSrA6h0lZASz6rqVBoxWc4D+krFPirPj36lZgRFI5w b/zlDUYkV6zQYoU0Tx+k4upPfGPFdh6u8Z4kXd9oA5Seq7lzJXeeyqE0iMIDZdJawhTRs2cIePxP VaV6VkFIriakNBGS84+RC2qkKiTqAxHxCGTKNp6AEZ2yb7fA6SQ7PclOx6XtKEm5ljVRs1MlO60T 4oDpmCi5JFOyVQejOstqyR8QzLQgl6TlhLvlCXfLcQJOrgSnnWW15E8tIZW7pcLdUi64Qb0htNpB UIwCchoFlEK8aWbRyqHge3KNv+X9UKvhTicr7L60AyVBnJUPSc7o5UqDzZmxVt6DlXlDlY/kPOe0 Bj5JP7C30ea0PyVInYkCoIiI93CoUCmqsFlvRG28VAtqq3bk6hjWFMJ2I5iSweNFllNjJa5Npc/W +1NVfCZOmA2FC/ojpHXw4mRhfxt9BbK0dYx+J696L1Yfb+K6elW3dWwcLjm77nSs3/9FO2bbv8g2 Szd2iJzWeAMV2er19q3+/evLa/0aRzjiXlkRjshqsQh/P1ApFF1en0OZ3PtM9jOedr6VsMLwQNTp A/gwJJkXlf75INPEi53sDMp3EkP8iDZkqXK4lAiJ7OJFbQhLIODHiYIQ8AMnEQhObItCABJCEPBG aEEIQEJMEZ+CqISBT/rQr8S4lVcw9w9hBd325nTosIJDxgV+J2xJlitmzMZWGIKxbYfQCII8dhWO K75oXBGEACSEIOC4IggBSAhBwHFFEAKQEFMEdkD/sLjiHxBXDmAF3fbmdOiwgkPGheOKqCVZrpgx Q1wRhWBs2yE0xxWXO66Uw4m7oB1Jj/bhsmX4g5m5e3HzggM5ecFefLYHM9pWcWrRFl0CFZyMCBGh GREo2OUU4BAYdjkd2B+G2QUMUxTGSlgajlfINQmN2ne7ykfSi7tDmyow7INeLheDVQ/3XOJSg7A1 /NvVYP4/UIPbSYxyxYOU20mUcsXDlNtJnHLFA5X7549U7n2Equ6chN9L/vzRyr2PcPVvUIUXCC/a USqi7hm73UAhdHhWHDiyTcFbFEJE6D6JZpviMOzyTeIh2WYHMExRGKsupLESlsaqC2mshKXhdmKj rriRup1YqStupm4nduqKG6rbiaW64qbqdmKrrrix4vAuDgSoiAKhM404FEKHZw2q/nsJnmPx3zCU EZDO+4oiz5r/FqGCtR0JseZOAKtYmyKs+W8DKlivhEbNn/ZWsRYa9R43phW83cMNLRYy8ljMymMh M4/F7DwWMvRYzNJjIVOPxWw9FjL2WMzaYzFzjzntvfkrOGH2DRyl4nlO2cVwD/zFosL9LMe24BtI D7LduFWc+nrlDlzSU/WrOTYM7ICRHTw0gbHtMbh8bpB8MqlkOHR7D2degGmoO0sTiO+RFFaLRd5G 2TFdsr2YG4Nvqf4Ohn66v/oFlzDw/rYECmHPxE+3riP8TcKVS3dksu9tra2QbKCzvdBiFXQ3VUD3 PCHWif6+KdkAXwZf2KKda1+3rZ42yG+oPycbrBCDw1jhce/QqPqCD5E2JsnY46G00rDraVAkQTJi qozis2m6k90P0yEHu+PNdArVAza2+uaOd2Ovc62DPSjjEUv57bM5Owu47CZusRui3z1MgMu6hBSO 2YkqnNH4T1S4Na3RN/0kHo0TFQEAvxUkFABmxQBA3zLKAsB5+kPKfN+nKjhuYStrFg77vHOJH09p 82qh5JyASwwHjSW169JQ4j2HApPSVi2MZmdSSr0x791c1s/6hUuj2Vhxt/wsdl7uP9uv/4u8ZOom 05xjAcAB5dO6CzvJzJTJTvKS4gWHXubkBA0KwwGvXFb6+dqmcHB/FhiWu4GyWhQ0Larqw8JeQx8M qCyxxk8YUqK52MUns2mlyMjEwb4bmc4bBUmjft4kDphoeMa1IREHcOS8C+9qn2hdfw22ca917pe+ hZax6ITIsYjVioX8bLk4Fo4dio1g8M9R498Ar8qfH+v6ey4khEglEOwrjyVMp1os6Vdc0x8jT2ZF zDwnktSyi7GR9Eo4p8zyQuAI2BAjzLX4btEk0hxuGRiIve4AiM1jom1mYXdhFtUS2c8s7IPMwj7I LJJ7d6wKxwg/Nu0y3ZW7E36s3F26wyb/ahDhtzKjeRhUvJi7MzRnSxpyEX77Vv/u4lq/+PDy4v31 63eX+tX1+fVFFZcUQl9CXyF5K8vasnLZqIXB2/Or/+KhryynMj/9H979ePnt68vv9LfvvuWCP5Hl Pci/evPj1ff6Lxc/vONmME0YNNguU2npNbDXlSZrL5hecYMmwgD5alelZSbYdBmfFAmYZXEUf1A1 S+RdNNKjUmQ1fKmmD+SL1b8X35IFlNl6C5OHLTYLxhb3aGe7YxkHMp5WMG6Lv2Rdjf7i2F4hly7H 1YXWEhOFBLgylzSppglkI5P2dwnW8ZJGUZYGkj/9fh8k8uwZmmC5JBfj/IVKLmSpfWMOEZcfKrXy Kg6XWzqVwuFQgbEXl/hQNvFebIIDVZ0bTEe6VvK6VnO61hJdN77TYkY519D1V3t5xle4Aw+PvGek TPgcg/H4v+AZ5F3tzDHK0iqMlVcyBcH8Mkh/FfFf2emH7PTn3a9/JFXGr+Pfznp0+x3LsG7wdfkz Hsav8m9E2j+f5coUWvYhX6bSsn/lyzRa9svuhz5ueEYbHDTc8uvyRLw/D2hb0hdocUmbfLUF96/8 ZkulWRVWjNrz69JEw5deswmAJ6cucivPOFXsmJPdGA3rPZUemHnUDVl7wv/u6U/Vw02CIPPSptQh FWtpQqoYaFEmrA2fGDmk2DSKfbVWnqP4+MUH8ytPVl/cSlrmqD2spO2Ov+Ot3ZV3+4/QE039Egtu 6beft6UvgTU+la3+8PO2+Anq8/xDy4bVlDyE/Be5D0EQz0qPCLILDgT4xVFBIViumBAwBDEhgCns L4TdZZT8l/Ial1F8uo5S5Nm+AYJ94zsWEzcQidvkDb70RL53X0rDIRYfDROFLzDmxnY5SH8t7n1l LGYkPtWq8RITa7iNSD6PebMStCagIOJRFICQioFEu0M1fjAI3xYKCQEo7Dx6LEvhEVJkTftyVhZG MHs5VQutxYex5ZnHjT4lM3z+U54ckzzlt19SQRg25BQN/JamOzcbfiYuaVBrASkp34jDEiUjdHQd JxKeDZ1s8imjh4HpnyHX8x+ip/A/plWt8IuI6ji57JHftzQst09/fTRYzROvfgwXN0gi9060xKf5 BxHVZoC2A3Q7QHe4ECc79BeM+1N5oEhJGfvVVAmynOJv1/V9Sfoasp2JNFQk6as/0lPcE3/0KrcU 0k91JfmINNjWNuj7XwMh2uq2qZWmslZ3Ta3GU9Zq4aHfUWqhvpw+5CftpAEpVYqlGMlZrpNaqgYI tJ9WqgCuZ5lJhrh2I5HcDp9uyWmMW8QMe+7RHn7+PYCWhEJYqCePIfP1+QcdePHAl+GGFyrjfOU6 qVQqKtOeKq0MK3tquUo6nFtySoZzJ93PSJSmkexW5kaiNI0krfyMNmtwub6cX3Eha/MP/jr2OCAO HeNYFN4jD1mR5YksP5DlE1k7VeCvKmsqvsbH+FQew/np5GRyok6gCbRXtFP5AZLvEVN6xBDxA4Qe sMm2tt1W+RJovvhxNFqCGx0l8xG9xD+EmxaE5jyyPPdotDChTDdms8C8GTx8OPiHH3irmRWFvdGb fJ38dLeX5S696j64pqoHnn2re+Aa0iMytxGU4j/kmkBX636bOGnQcXrVG61sb2aTWRxjuvXNI3w+ +McydsmIevjyKQB99ULBMIEfCBiSALl35Mfh2j76uznzof7lq9d4HPhJPhSF/gBlFbhnGM/so78p 0zGuCFmFChWGu4CKoTJhFZTE32R8aWxZR3yadnzxQs1BOcVQaB9lgMZ93EhKSiCjQEkJTjKOaKaR 4sRUh4rax1iljOY0pZlWJnCMBYarnKTXefi4oJnyk3rKuY4FyLkMgzQy/PDo76BFGNr/sve0MXJV 1721F7MshrVjCEZFsHEMWSPPet7nvNkNKdhewKoxDjbgQGE6O/N2d8TszjIfa5uoKmZDwDEoaVMp bopQSCMlbVWpUZSUqpHqACogVDVNqoi2qUSkRjIKVZGKUpTQbM859953P+a9+dhdPn4w0tt33jn3 nu977n33zbzNeFlDgJvtqnqSpj0L9ANToN1NoOusRWDOdKHrdBPohWsRGIZcICaaKxMNbm16CV0m HyvcdxQy+aCXvokOzcA81UvnROdAZ0/pjO6IUwuao2fa/GQ7WbOLSI7ULm5gdolRKX3sQBnQrIfT WbG2QCvrwnaNfOd904hWor24NVYyhb9e8+IE7GUQxOvX1UsL+pQ2p0vr4jtDWpzkqzWuX3HemqzL dXZlUrBF+flwDH2QxhCrnT3NK+s/pPoVvr4jbI2mr3HArcp2mLmn1Jnbk0tEsazEJsoq0vWxSTUq LkXDF8ENOS54p2xc985EtO5tVB7iS2NCZfiKmRbl3toX5eqanK/DjSRXluQGha3OY2Pc0YAtVczl uZu2PPfi5bmXVVfn/kQcrS5FyTFXD47XuYOxbkWdRZAobfT+dodVifh6u2Ctt6eruG0sKynaDou2 E0fbDABRM221x4wWFcnEaBGFRctVouVlk6IVpEUrlxKt8L2MlmevIVrV/qLlOQnRclm03IRosQAQ NdM2d8loxeXCiFWMZ5HylEj5flKk8qm3vdk4VI5222vbMlZ2lyWCDFasRRCXs1AvlsnxYI3ntLm0 eEJlmEtwsMcc7GkOlj4jWsaYcgznVlOcW42d6yvODRP3FGwn1btumne9tXg39Ffj3Wq6d8Mgwbs+ 867f7t2q8K6fMaZU6V1+62r4lmOZZwPp2VyYOB3Yfqpntc5eF38we81RmwuTamzAzA40s4U1RMlo t+Zsfl2H/ybSaJbL0QybXY29upl6cb5ts46QWeaGhdmLxg9O7Tswlc2MHzyC52F+junZEzP8A5jp k80IMDaKwjl99qIdKLZVjabxqQyn8KuMJ3uEEixpHby2K9EjbGNcrOJvab1hrjI6/MjN+6c0W/Aa bLmJCMMCUFow8+X1zXtt5WLKzggU18OTVNwHNMmRpqViZuhrFCeNIwpExpJe1jr6uuHMGma4Yxju CMMdYbjT0XBHNdzJCFSimq5JXrPhHjPc7d1wRxjuGYZ7wnBPGO51NNxVDWeWuWlqBiZ5zYbnmOFB 74Z7wvDAMDwQhgfC8KCj4Z5quJcRqEQ18yZ57ameZZbne7c8EJaHhuWhsDwUlocdLfdVy/2MQCXr 6Zj0tZvuZjjr3m0Phe22WeHsuMTZcY2zOxe5QLWf5XSQqqxv0tduf8Dt93u331YfJkXx06SEJ1hy rvJcTK6lYrWFEpQCpz0I07XUJxmtPT3SkkimhLw2Lve5rnqhesBV7LbbXCaULyZOmIpTA0frq4rL JnfIJrNXmjiuxjPbNiGLmb4eze9IFmL3K0SpKro8X5FXWWgq8pQu7TnHheeCrg4s9uvAMJn9+jow 36+QVAcq43yf3YP3clJyURku+9wgsbMyD7p6HodKZ0fvkNzI1e1MbqSIThfn685I9IviYbto61xj jXI6XoBhQnOe6SmLyEQ+vu55pfu+IF1w53GVVxfcYSr/DoYlOSVNgK0HalrJ7cUdySI0v+e6i8gY MkqKFUoc1OTxFRHTXqqGx1M0LMrukd+Dgl42VcSJdRLhB6kiTvYnwk0TkUsP5UPrJMK4gyvLSO5V V+B7p/QaoUZcWSkqlcBRSr5d1ntHav3LJhriKIPYjqZ7sCTvpMtIHuurkBGky3DWSYadzaYLcddN SPoYLBQaycmliukpuWwnfRgWCs31kuKmj8RCobVeUnwlwKkzmLL/4g0bRbV7K32xra0SvEQrdMNt ZR1pl4zFbIzXt3ZsO6WPm2aippZxe8bBXHqH5BWLl25H5CXbEXm92WH3ZEcuUS19LZASNWdaV0Sp e46t1knbmBrjG6BcPtFEcxZSZLhait+0I41xaHBLZbG3ZxaJvrQVhzieGr4Zdc1lbGYlBslYgNnK wsHJGsvRxIHqeB0YzPTAwEsd3Vpsg2k1tvkU/4XG9LZ+sZ1Ze2xNFt1jGypdlEC379f1HVu1vK4q tn60ttgGCq9ptTg42RT/hTOJVnaM5+G0YITRsFLcpjvxSM0JlUePAS0rC0Yluu37kH0HNF/uHo8w vXsx3707y4eu4XSz6g2kY6d4r1hax3AWp4fXHE6VR2/hdNX7LCW27ZurfYczSt6r6TWcM1737p3C qVRe11M37Rwn2Xtu1hid/VbetNC62cjUpZ+loLn+UqMXqEnrqAEztob7jZ7r9nBXH6ZZoi5iHKWy q9vEqrCcvgvU94LRzqkCjfWYCIPtKSJzQbrCyffygTqV++m9kzf6AqVq+nYH5Q23y6GtLKvcoq59 cuK4RSNxVA6lpM0yvh+ldMmbXTrR+khqt2QEsJju0HA4KQG0/SFjt0DrnrLZoA6csv4gRL2bcKPk osDw63ZXlDzY0rPMzSZbpez7elk71SrP3HvQ8D1YlevXKrsnq+xEvznqhqaxFah1d5K7K4nqOUbY phP90PO9ohFdBUz8HZfOtF2EookRON3DxjTXkWcasX2DzXBLGtEofkZPne10qn/0Jz0Gg2Q/dBOU duUWOxHbe3ZTWJdc7q1ZtCaVlEdE+U5ucNsfFnSzxluNNeEH1RrjIWLqWquTOR1zKWojdlMpWJVK 7XLWUSV98k19GtdxxK1a3XUejXrsnNQ1acd6V+pbrJ64TrQ6H+qzUalnhVc/4pxcB5Gdh2PH6aTj RGQ8XOtlIOsGpt7Lvh9F1unbGEP0qqrSB8ca47YieP9j003jchu/5LHaZ4J3E2uYvKrK/8EJ+0zb VQ+5vvbYGcvf9GVyR2vtbL91r6texhe+Uu+Au8Rhps1fXSXrsVvt3LNOSWesuFY/vSQ8+u3qCbdN lXe1rvpdzemqsbcusetIfU/nadvvMQSdx2f/coN1ceR7PwhWk+a5dtPf1YlkHfI8YWd/FWV73Yt2 vs3Onmt2V966g50gtU9y9+k2vyQ6bN2msvTNqsXW9EJxPmrovzGSO2AoP/XL2PSGIdnYc8vygr6L Kh6Y4A+Sd0ha0qZZvbgwm65GqRc12jdJs0o3E+YsjG+Asy+IZwy80iNRe7Bz947bjii677aH6cn/ hOIF4/eeO4bpkYnaAn92hl99oq++aV0Li1mGtg20zdCOgXYY2jXQLhNqm2rFv+RjdI18222FWw8c Olo4yjRwk4lMDy+ZyLRxta78NVi0eaxr2Vp4YKF2fKFQYL00nvpv7Rr10p75xcVKac+Shy9bY9r7 aodyZYl7NFDR+EJIwuYM7BLjkU300JzwkB0mB5Z+ds04OGYL/sNBomrsH2zVmIauEVx8GycjOG0E poerqc+GGX2TSkXTex8ZXvMlvvyS6ao1r0qXuYFpxBx9px+/yqtrhO90ZLw0EcdRhmCmxeWWQ3eO 7hulH0IyqpHv+PZWxtCQhP9/ihGMtCnV5hdB2MyCGEGaPPUtnUT2E1P10NGbGPO86fE5JtXAzwce E6Z5EArFKP/xQ6UcLTTB3H37JkbHwOhdwub3+/10H37e3Q++/7E4Xms130UZ+P7HnJ36/kfbcRPe /+h/+P7H9+LzB1MHbx4YGIivN1gbLbw6vDw45MF5s8/wnjVqbbLGrGutHXDGazgehjZwnAMYjwvg GIRjIxxv4QE0PLYBvI3TBvhBH6DhceuFloUH9re2MDrhvgI0ODYDYgyOTZy+AU7HgH4MaHi8BNd4 bOIy8BiC9kOnBofwGIXrUYVGP3uvltkv3ccbtXGH4bdw3aD+cV+w4wJu0xAcF/LrTYYfN/CzsH/A av9cDMdB0BfhrdaINYk8wc87ofEOgK+BYztcf9li13NwjMH1j+H8EaTBEcL1n2xk15+BY/9jg0OD xO9S6yFFFtprgZ0ltC+wCoVyo1aYwzctRhZ7gSPg6tFspdGM6uwH/LRCLUwXG1ED20cdqAduh5VG ubJQaDWiMjRGQQUcSM0Czu6AmZ2vLXBMwbrl4IG9+wrOeNaCCabgjtPAHgCfYbZt5Dmxgc5buP5b KpVL0JOnOe7wdScvRi9/mdMPnx0c2gTBuBHOF4Lz9+MZ/HIrnsEhB/EMgbrz9M+X3xg6j2y+dH4E JJz/FbR6+fkVP4QWK9d+8iyLx8q1yAk9br3+2gp8rkWOc0h7/Yd0jZznUJXXz9E1SpjDkLz+13Ap /G7/1/2nf7b8n28ePnrH3CjEZu61RwaHPn3X3O99bnDo/N9Aw7dO/xJ0OnL4PLa+99Tz37vMss4s XwUXj55rblj54Zn73nn5+dO//BL/MP0fvuEo6tna+8xhyJ8zWx79UfO3nvweclg+N/hniFv5UUxq /eJZzCpgt/nFwZ1HAXv+ahD8Dxcgj4GXn2cdn/z+J/B057OYcad/Turcc+q5T4A6y29sh86jp4/u 3Pzi/p3kHjgPHoPuguF//GZl5ZnsWZJy+bMW0x7FIe78Nz/76/89/cZ9zz+5hP4/9QY2AJ9Qu10v IC8MNbQ+DKfz3wZep6feOjP11vK5keXX3mTw6cGd5ycgsCO7pl4l0hbEjDHMS4QZRcxHGeZZwmQR M8gw30ImU9/gfae+xrtMPcVbTp0dGZt6FRo+DueXRnY9egKcNDLGTrv279wC6MdHdgHDzwwgw0fn 0ujbiI58WBsgDp6Z+gbqcj+SNPTXEJ0hNHYn3FOIc3XcWcRdwHDPci2/1UnL71idtZy3ErVcPjeE kr5rtSnKKacsXVeO/pyOPsvRRwBNcX75eUrdMWgzBGLPw3k7xnJk7Lbz5PjLXxoZ+0HXVpcprbYD ZjO2OgONx6DxFVYaZRuj0KVljKcjy28MPjMKefp3+Gf57ZXmRyFR+XhY/sUgjMGNgG29deze+5DJ kTvEWB3eCuNmyTo/+87KCo1TUetF9bes3byeiHluMxxYAi7Bmsxr9RjMSTiH/BTOOI/8Lpxxof2n fI7AInM554f8PeC5gdf0y6jWW9YVcJwDvgg/C2ecD1DwNn6GMVV7HPAQzxrq8SacTzzCdOvns8Jr 24pS4459RfK5FKrH1XCMw/GpZWm7ZX3devRKpksZjibQBhR4As6f5DwOwPEwhxsK/KQCf1+B31Jg e0DCjyjwjxX4Nwqc2SDhuxX4YQX+qgJ/V4F/osAjGyXsKPDdCnxKgf8C4Ec4/IIC4+frCfDFg6xN 6S7Luo7D/33vgHVoUPYtK/BnB7vzVOEv8vavwvmlQdTzxbY2PyX8KMH/Q/DHCB6+AOEdBF9D8McJ 9gm+luDbCL6O4BLBbP38EMEOwX9EsEvwnxPsEfwcwWzh+W8EB0wHgkPmn00I5wneSfAkwfsJvoHg ewj+FMGLBP82wZ8n+EaCnyL4JoK/Q/Begl8heB/BPyN4P8FvEzxF8KUXInwzwdcRfAvBNxB8K8F3 EXyA4AcIPkTwPxP8aYJfJ/gOgi8aQvgIwaMEHyV4kmC2Lr2b4LsIrhF8jODHCL6X4GcIvp/gvyU4 IvifCJ5jcgmuErzxIoQfJPgqgusE5whuEXwHwUtMLsEnCf4CwWz1+U2Cf5/gvyf4YYJfJXiZxZHg zxE8MozwYwSPEfwFgvcOs/x85Y8HrCUO3wyF8elhOabwI3L1XxT8VRfLnDx2scTfu1nm2HGCWQV6 YbOM9TubZUy3XyJj8ZcE38P8don07aZLJf9/v1T689cEs7vq20ekrxYJPkXw2wR/nuBgC8JPtNml wmLMbgVbD1H7a6jUlgkOB8z2J7fImvAEh6evkXzM9k9vSca/Qvx/p6Nuh7Zim6sJ/sOt0v8/2Sp5 vs5h/wesjj2n6CngJxQdvqi0eVppY/pE4H+1VcbiXz8i4S3b5Hic2CZtqRB8kOCvbpPj6x+3yVgP XSZjfRPBRaYzwdMEf/syKev+yyV84RUS/j8Fbm5H+K/abFHhs9tlDbz4SoRzBH/8SlkDJ6+UNfBO gifa+NSuxHXDlTG+bLH516osVJrjJYv+VwJuUOO/RSrvcdysk89lKm4Y7Nl754GD+/fM4r1dxhl3 xv09pUZrjzVbKjm0i1mpRuVx4NOcaI7hfx26oU6nyYxjezkvdAMvnIzB3KSFm6zU1GFNnV2T2Unb AYrYiSSqy6huOiN1k5S6eKyLBwzVD1y5ufjDxbR19llnv5fOmqLBrhtubATeZJ3gSdzlSvhMZnNJ H5Vhm0o5hXOuTS87hWFjrlZvxjxC5GEHxCMEX7pOLggn8W/ctE1uXumTx+gEvu/60Jw1iwNoZ7Fh SO0AnszYTsgiGbOUbW2lrY1MHR9Y0m4/a+DEmeMB1SrXWtPViJHcmBQiibyl0r2YbjvYANOyGp2I DbIhuI2wHhWrE9RsN+SVM1mZL87ya9dBhOyoqBVw3gEXLpqo8nO8DQQJ3KY0atM05C0hFA6ZKf8R 2VKxUK00uFQIwfU4NsDD7GSNj8evYKSh2Dg5P12rNsbn+hu71IaIbN9rT6m2MFOZBTYgoHGyUY4W G3vwrY+FWwpJpNZC5QReLO1h3fHx4R58nWaDtRM6zkTFZqtuYqHjnlI5muHo+UqjpOHIFO1tlKho PSrPFZtcX2c8H7S9jNJizyLBdyFWICoC4NpWgeefx7GQeYSmxCe8Q/g8Q7N88bD2SBYYQ8J6hPUZ 9sFWsVxgrX3C5xCvYAPCBogFtiHH5pgaWWKi4ENFPUDbAcfnCR+K5jHezkq9Ae86As/tFB0kwZE2 AT7wBN6VerY0gqeYVSyX6wKP5no0Lq4nM2mTcElQc0RlTqoIX2Dak1txR1Bi8xJbWahxLKW8xxSd r5UjgbZlY/yXfA8IvCPxtZkZgWVWEbaqoD1qTDovxno4vvRZI04kwAcSX69W5gU6JxVEdOwxJ5S2 S+aKkTONGO0yK10bCxP+D2KoTHAJxhTrCFDFo3PH6QhnzklR0mCmwHpSVoLletKEkopnQXQDXmaQ 3qzMC8vdnHRfqxFBHSg3BCmUedQwaXnZrXF8uipi5GUlvlStlWK8beBj93iO1Bv1Enp7rsQ/EJ0U WMXKymJJCa3ny2EC+ijB9QIpGyilhaYg5ExCHGAvlOkz09B75WVSCFLcz8/KxJhpzFSqsp9vq/0Y SfZzlIRaqEm8K/GQ3BLP0tshbs1Co1SsFoXnfF+a1YSgarRAVjYoAYvNmJBTRgbEpxotCEqcBlDG qTA352B+LTfiiWKRIdgEwS+UeaLjfNIozcGacg6lIlRYLNaL8xNHx2xaXza8GF+v1OqV5kl1Voch wKUVZoqNJqYV9Mzv5iMN/7FnqzFBrmAdALdYWaB2+mIg5lOOGiWcRfI0W+RxergeTuDtEw29EX63 plVqTmB94fhiE9zZIBVwFeIGWC6bxdIcahKpmnOrFmvVSumkpougkBuYF2C0M0plYS4CH1AD3ikf iE61RSEBlmYMOdsq1ss4ECZoroRCLoSDUg9QjWhETdEr7xjECbY6gbrrKRSFn+MHzH2aA5rkvoDc B3kmaFg9OC1HNEirhu1AOSiwgOTj0oa448UKrJRmJygS3AOTGjNFWJ4Y4kSJCVNuzc8beSL6iUKS F7OnJxWcbzWjE4LKoo8zZsMBlvMFWN9E9aXY79yR86BJa6FpRHC+UDu+ENU13RH7QGXBjNu8ajwG jiq7ppJiJ03UebbGRa2QrDA1jK0tlCLRUc5vglo/zsszjZgc5isEo348IRqAxC5RvcEFCZOAcBwS MjZVWMU7GEGM81J0M+kiPYGuWBUnJqAXG7DIi4PAE1NaHNtENofMWbldBl11KMscXIhgxUCq6c+C IVSUDMFTVBTO0YlXZaLBdLFer0RCosMyy6HMysK8U0xwOCDr0YOtipQqPA6URUzFOOeEy4GQ6O1J Uw/Feoelk8PTSbfTSCbeI54++BeoAGvbu+PJ/XiFT3eAdJRpQyziqRebFY6XGvPTDRWTNk/Q7Q1N FqIxpP401VQmyyUF4OSwMKpjkseQvmA5gW3A8S0wFlhNMC1FE8BMUwtPrsxg0eVO0qqJ+0POGLcU ZhZrbDnE5DPxWNEAP8FWprtlwW0y8SyD2PqNseBzOmk2RtLhhjxmAhO9yAqNCSQEMVGcOwtVcYnf hCEYI0ZxPs2hklGhcMu+2w/9f3vXFhtHdYbPzOzam+zG18S5NnUgAUPIsutdX2JUajveOE7Xl9ob FFTa6drexU5tr/GujdMLLuKWJy5CbXkAlUoRBEHbF4Qi9YU8oD4UIR5CH0ha0YpGSEUqSK2UCkT7 f+c2Z8ZrBCp981ieOd85//+fc/5zn/l/+y539Fs9idsUGBnFoydpRAz097QbcDgz3JPSODM8lrvb HRoZO5XrSevY46eyWXf0VA6xHTp2KJvNDPZlJXWnFz9ybHR4LJvJZWRS1zqWgczEsfGhsdzoeE+3 wZfLjI9QamZ8nBKO3naHql67Ub2hCTfbN5EzqjQ0ODI6nhFcE1Q3bJ+5ftziFO9EXVz/9Ehjyacn jYqi2hEJSrxA88g7BXmXJO9eR16gBU9THxXUWKM4OdafojzvK4bKUn6h7LHwRQjPlOJJr8tDsFAQ ZsEGa4dk7VSsXRuw3rdcWDprMHZLxqOSEVNjVUa/Mvi0h2e74kttwOfTCp+B8OxQbJ0bqYXW+7xs 6C45d3r6kupSw229VqRS9BLtL4ssip5leV5y96Mm2AUSJQi7VVm7jFlWFbZcKSzKYpIKyx00kssz c7OT0hKHS0ipToAzIe0rJSvscGmnW5o8U6Ay6S1GaRqG8IKxXR3idEX4XFdYCiwTxaXSvCvY+NFP 16JS8kXrJVlpIWUsw7qFRW/3FmJTbeb+cH52gdRUQCVQALVKd6i9Tn61WnJ39zruSkkvtol1vF5i R7sxuxaX1Ru/VHeVZkwnO9c3lNGpcAznO/bScmVyuSiUkRbqTnrriEgtYIsgCHRDFOfy9wb3R7ML K6WpPAzyA+2kmmMWcQv5ORy9g7t3XqtFkY8YHqngJt5bDtA2fJHgHVv1U2+H7k1hxZKscKdYLBeg iLLc0WvRPApUanqj3qyrKvSK1G7fUnkkeYdUJTSQMLJVM6ycBdN6AOCAPejOaqIUf8WWwuS6nKZl ekoqutM7GpTmJ2cXsE1JYe4tV6fyiigKQ72MFu8E+oxYeb03bCn5Rq77FhkvX6Sl5Bu5JI9fNhmM V3KD5ru3lHGs8FvM9QwKScywt8brzdZ2vOrpSiVb28YL060n8pXWLDY9rV3xFCc4kqR57atg49bd XzrmS2QGgzZhFRPid9i/PeqZyXD7FQG/ERJfq7jhIK6jIc3KP2leezQUAft38TlLxlr2SXycsycd fPyzvw9k38hCS4V5ZucFCrEwNQYLhe0VTntG0M6smLSzK5K2ZoLEhsK1KMqHyMVJRvBpzYngY78d wad6K3KUl2jLr1CEdxCzyzopa/cdKqZ1auvjPJaX4KnI1qc5Arn9VCy6yKzdL/JwJfYvyD70KqHo /cza8zfOcDq6qsMnomdl2Hnq4lr0hxpcWNt2hfLLUX6xYRT6Bhi71EGj1oG/WyA5v1a3z4DPr9Ud MOCza3U3GfCZtSgNcoJC/DnAiobXHyC4rOEHDzBWH0Il6kO/hk3ue5BU0/AGNPIm3RoRcljNbShZ bc27UGWo4X0kv6+SLVYzhfhwfegwwaZ91NwvQPxZ2+KVb3bdPuas2gAU7ldhtr2XSD8mHmj7Qa7x HY4Ndc3sqOfP06zpB7KfOT/1iVszxK1JcU8QKURC1ItC3LgU9z0pruU1CjwDcU/YFkSNMedxG6oT Yh+Xot4lMoiDmEtC1HNcRGTHS0Ika7Ecxg5D1Cta1MuGqJelqENEBnEQc0WI+kCK+qcU1TRANDDk dOodXUkSV+cggRoHbbG9SGEIg5BrQlCXwwWxGKzMwu/cR1C21c5PEZOxMCJi1yByErY8MS79DPr/ zv3ovBfsFxzk8Ardd12iGx8CuxHiN0r6PT32xHZC7CF0zthxBG/6M0U3/AMcuKmegq5gh2MNILnZ osHf0EQ3CzdOUitIrHAMJkpOG8ZM7C0Eb7mdaPZ6/QqSG62Gmia6O3V76w7VNcNouNmymqPRnugd BJxtpCMEh5q7t1KGBCMeDB8kGI3eSYQ1FKwTwdoQCQAQIiJtlAIbky1xiv9mTMi7OTbU3Gg1Wb1b uYGUysQmGE3rTABjLTqVsW1RC1w0ftM+nvp6FuUEDRZl8lh/DOHGA2yo+XbKuSnOS0TkYeTbSlHN YZFJGITbkZ7U5dkRZkkutcXkA9dOWRbOtWsHpd7Mc9odZnjswTyx17Jk/gzmrDZFkJ6tT+q20t0S ho7cTQ59l3/IM77S0WY3zq2N/td/P7fq/X/Xr0LcVytNf47kV9jGeuDstCLxyPTFv0b248f+t91w V8hx/hg6HLnrcoJ+nW2HLz/r7MXtL+xwz7QdIn1iVMLW0mLWjyOxUOicJWw+1Rr6CeG+usgjdv+2 sIrHXIiGCsY/uEE8Zqg9VeIvbRCP2SNqxAc8ROU3WLz6TuCWxK0dtxTzeW0yw0nTCCeNcLvsSYZ7 Jft8Z0oGH0ncVpjPAZIF3B2Z4dzI4MvIhOeieMyK7Qf//M8NVZjwL2TKm5AJ50H1posZjoFMuAEy 4fTHfC5+PlsVZvrvMeGtx7hznraAYcqwFsMqkYwnYDX5ReNYvHx2vpKfZHDxE88ZFeJni0UWXyhV CvG+/qEjlfy9LD6TL8+w+PTZBWIUz8oSi1P/jq+Qrumk4gMupVFLgk4EFucqkDxLd5ytWbxIgJJK 2HCTPH6n1uAOJFx+fn52isWnqJHKhMXjzBTypAaJT5bLKLuoQX6SF4aUOV8gxfg9sFnAMZwZ/6WL +f7CoUL4F1vM/H+VzPOKFmphX/TaK/WObQb3cWLC7lpdyhAPFnC1ko77IlnSL0deIflE24UlHWzD 4euUNtJD8hcWYFFJB5vxe6Rdc1jmCRrMH7BydSQdbMyvWsK2PFg+WKvCPhx0sA1ftQW/ylf5P8EC 9TNJB5vycxRIBPLFhQVgi+SBTfpFW/RTsx7AcwYdbNhftz3/rKhBtyzlw0YeNvTv2cIHKqi/RYPu OtFdJ7qxAB1+f2TQwb9tjJT0tuPRKd+jBw062Oy3UiPur5LvY8zrB71E11vrjUuT7glJh6y4T1ut 8AsI0v3MoIOXTa7WSzPpfinLBjruA1cr/N/CBh3KccGQB1cH2BNXK99vDbo2omvbgO41gw5+PolI 9fL9zqCD70I6sr7f4/d1WU5eX6LLEdhXRd4bzO9PB7rztV5fAB30+QcpS12wr33EM33UMi4H5P2E zsZX2Hq6PwXoTt/qr4dK+zBAt3qrmCOCdJ8G6J6+VZx+g3QRy0/3dlzsvIJ0LQE6+NVNVqG7IUD3 JE045w2sinC7pFN+t+l2mmcC8vDbY4l5TctLeb4cZr7wTTHb402i661SPjWG1HW5h8YndeaDFO5j 3ry2JSDvYC9jFYPRrGPwwjzNOL+gwnwssBDQprHI4R6NhXauaixGmfKlcaQn6DmNhWYuaixG0usa b+H4PY2Fi/11jaMcjz2ksJgpMA8JvI3jXo3rOD7xC4XrOc5pLGa10xo3CnnPKNwk6q+xWMkSGotd YFpj4ZmU07jFp2eHv9kx8a4A3h3AewJ4bwDvC+CvBfD+AP56ALcG8IEAviGAbwzgg75+FWIf/ycS wNBY5SHlExXjEhW2CbcH6OGd0qr9xJq4NXqbxs3cr1e1n0Xth/UyodO3c0+CMZ1ez70tuG8nxy3c Z/Z5I3+sF3De3CXTsS6whzcu36v0PGiU7xIz/dqa2VuB8l0NlA/uch896smvpi/Vn6GvzwLpeMGn zhzgx5sBdZYBbrW8Mw9wwvLOLsB3Wt4ZBzhref2/kX5OWWL8hJjwm8YcZ/plz1p+v+wnLW+8NtF4 /bnljc8mkv+c5Y2HRir/S5Z3VkP6byy/XzfeiJh+3R9Z3vhtpfzBp/TTROPdsv1+3822P789tjc+ G2l8JggvGukdtt9PfMD28mug/L5tzKGt9FsIYOUrgAd2+BQMOAHAo9xw+WZTS5VyZblY5Ce5Y7nR cTc7NJGjs5zrDvhQ5oR7fLxvOOP2ZwaHRnjUyWM6fZFWNGFRXaFccK6cLrn3zpUm83MuPzy4+eVV Jj6RxduZ8FPnBj8q28zIgJerAiJHhZCfCnvip7R4eSA1To/B82+1k6Zx6PWfSgfuHukbHjrG3OKi O3O/3zH/c73ue3uV8zz/Fsekql2XTk0yLH3vv4iIoMs+JWknfZzblHR+ohN/MMAkcQv8cOcOZkf7 +7Lu6PHjExk6vvf1ZzOkx8LC9Pq/EWBKPbnijstCHpvLl8VfHPD9yYDNa/PavDavzWvz2rz+f9d/ AYtOsWYAQAEA