From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 7033 invoked by alias); 8 Nov 2017 11:57:56 -0000 Mailing-List: contact fortran-help@gcc.gnu.org; run by ezmlm Precedence: bulk List-Id: List-Subscribe: List-Post: List-Help: , Sender: fortran-owner@gcc.gnu.org Received: (qmail 6739 invoked by uid 89); 8 Nov 2017 11:57:55 -0000 Authentication-Results: sourceware.org; auth=none X-Virus-Found: No X-Spam-SWARE-Status: No, score=-1.5 required=5.0 tests=AWL,BAYES_00,FREEMAIL_FROM,RCVD_IN_DNSWL_NONE,RCVD_IN_SORBS_SPAM,SPF_PASS autolearn=no version=3.3.2 spammy=Hx-languages-length:2243, convinced, relationship, among X-Spam-User: qpsmtpd, 2 recipients X-HELO: mail-yw0-f193.google.com Received: from mail-yw0-f193.google.com (HELO mail-yw0-f193.google.com) (209.85.161.193) by sourceware.org (qpsmtpd/0.93/v0.84-503-g423c35a) with ESMTP; Wed, 08 Nov 2017 11:57:53 +0000 Received: by mail-yw0-f193.google.com with SMTP id k11so2066308ywh.1; Wed, 08 Nov 2017 03:57:53 -0800 (PST) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:in-reply-to:references:from:date :message-id:subject:to:cc; bh=kAmp/blVjuq8KtZVg6+msva2FvLlSKbUVskiX99kAKE=; b=gHw/9CTKJvWZNLzUBu2i4JlSC0XRmP/6RADbuet1mghzwcq9eqHsfHF0mgbdTrG8SP 7jT6hubs6qTlTwsbYUvTGd1reiaqivtkD8d6Mzp+Nna0fL9RQU0GzMuQJ6TH+tnT4ZKR lO4eJFZdpWmxDspiHKS9+n5cL4+LyWnS8S6g43tNo3fmtoXZk6Q6aBPkiUlxbamdGXnW ksd9QyM/ii9zSLTz42fsit8obfCxCpWbnY/luOlaT8uW2dMgplFYyG1xapPAqa8/AN5E SJzTpzTI9v8Q53Z+BKDx28XvKaLLAZb8GVVliCWZtJa2D9JNht6N5eBxFCExpJsTZ187 Z+6w== X-Gm-Message-State: AJaThX6vGdLtEH7kxjMEHHxxT9PnHgJ+A8cLNKBCtsi3zWLAG6aYslRl iylcYGqmOwUTua/MYZwDwvAecoDP+iIhL8YTL0EgtQ== X-Google-Smtp-Source: ABhQp+R5J/2ryKDoieaWtNYUvxOkwAqeevaUqRKCrm5wwveZHO1S1fhd2uCw1GqzoyghfdI0sTv7NtAdapJpIkdRIzY= X-Received: by 10.129.72.196 with SMTP id v187mr136237ywa.37.1510142271715; Wed, 08 Nov 2017 03:57:51 -0800 (PST) MIME-Version: 1.0 Received: by 10.129.163.146 with HTTP; Wed, 8 Nov 2017 03:57:51 -0800 (PST) In-Reply-To: <20171107222701.GA47818@troutmask.apl.washington.edu> References: <1510079175-10927-1-git-send-email-blomqvist.janne@gmail.com> <20171107200641.GA47000@troutmask.apl.washington.edu> <20171107222701.GA47818@troutmask.apl.washington.edu> From: Janne Blomqvist Date: Wed, 08 Nov 2017 11:57:00 -0000 Message-ID: Subject: Re: [PATCH, fortran, PR 82869] Introduce default_logical_type_node and logical_type_node To: Steve Kargl Cc: Fortran List , GCC Patches Content-Type: multipart/mixed; boundary="001a114dbd50aaa57a055d7765f0" X-IsSubscribed: yes X-SW-Source: 2017-11/txt/msg00048.txt.bz2 --001a114dbd50aaa57a055d7765f0 Content-Type: text/plain; charset="UTF-8" Content-length: 2159 On Wed, Nov 8, 2017 at 12:27 AM, Steve Kargl wrote: > On Tue, Nov 07, 2017 at 10:38:43PM +0200, Janne Blomqvist wrote: >> On Tue, Nov 7, 2017 at 10:06 PM, Steve Kargl >> wrote: >> > On Tue, Nov 07, 2017 at 08:26:15PM +0200, Janne Blomqvist wrote: >> >> + >> >> + logical_type_node = gfc_get_logical_type (4); >> > >> > Can you add a comment to note that the 4 is purposely chosen? >> > A year or so from now, someone might change this to gfc_default_logical_kind >> > without understand/recalling why 4 is used. >> >> The patch contains a comment explaining that in trans-types.h. > > Well, did say I scanned the patch ;-) > >> However, a bit of further experimenting with my patch revealed that >> one can cause these latent bugs I feared to appear by playing with >> -fdefault-integer-8 / -finteger-4-integer-8 with the example from >> bugzilla (so we end up passing a pointer to a logical(kind=4) variable >> but we tell libgfortran it's kind=8). I did fix the most obvious ones >> in the attached patch (on top of the previous one), but I'm not >> convinced it's exhaustive. >> >> So I wonder, do we actually care enough about -fdefault-integer-8 / >> -finteger-4-integer-8 to do this kind of micro-optimization (i.e. use >> 4 byte logical temporary variables if we can even when we use >> -fdefault-integer-8 / -finteger-4-integer-8), or should we play it >> safe and just use default_logical_type_node everywhere? > > I certainly don't care about fallout when one uses -fdefault-* > options. I've stated more than once I think these should > be removed, because these options break storage association > (among other things). I a little surprise that -finteger-4-integer-8 > have an effect, but I admit I haven't looked closely at the > internal representation of a Fortran logical and its relationship > to INTEGER(4). > > -- > steve So in the end I decided to play it safe and do the simpler approach. Patch that I committed as r254526 attached. Unless there are objections, I'll apply it to the GCC-7 tree in a few days as well since it's a regression. -- Janne Blomqvist --001a114dbd50aaa57a055d7765f0 Content-Type: application/x-gzip; name="0001-Introduce-logical_type_node-and-use-it.patch.gz" Content-Disposition: attachment; filename="0001-Introduce-logical_type_node-and-use-it.patch.gz" Content-Transfer-Encoding: base64 X-Attachment-Id: f_j9qzogod0 Content-length: 31391 H4sICO3qAloAAzAwMDEtSW50cm9kdWNlLWxvZ2ljYWxfdHlwZV9ub2RlLWFu ZC11c2UtaXQucGF0Y2gA7D1rc+M2kp+tX4Gbq8xYY0mjh9+zmcTxOI7vPLbP 40l2k0oxFAlJjClSISl7nFz++3U3AD7Bh2SldqtuVamQJhtAo7vR6Bc43wb+ nA3Hh7ZpjSf26GB/3xqZY5sP+fBobzCCp4ejg0NzwC3Oj9gH32Mf+YINDli/ f0z/sWG/P2h9C90cs/8yPY+zb1x//tuDE0bsb2N12/sVX309nZuO27P8+bvW ezPix+wHbnfYIbvyH6Af6HUwOB4eHg+O2E4f+m19XI5/5VZ0zH66Obk7/e5n duFFgW8vLc5cf+pYpmtETwtueL7NmenZbBly5kSt1pkZuA4P2Pm3fhAFpocv bBb5LOA2nziA5dj3XW56SfsOe5w51ow5HotmHADDqOVP6B4QXjgudDeHFiE9 On1zurPDjG+glzfYFcN+OjgCvpWjtmAsc+lGClkC6jH2w4zjIE6o0HEiByj7 aOKDuf+ARDHZhD+2nDBc8pCFy2BiWtzusStzzt2nTqs1aLObW3Y4PNw/Qsx5 wNkjYBpwoKsNreX8WDRfsAczcMyxC/ghjRZmiMRwIsC2RVNdepEzB5I648AM nhigYaopxKirPhjQxGS2M5nAkF7EQud33mu1hu24RbjgljNxOBLKTObuL3hg 4jxhOjN/6dpszJntAysenWiGZCuQ697xgBKeHyFTTO+J+QAV0GMYctRmn0LH m7LD7hgmoxAM2cx84Cz0YUaCfB2gHzDWDFuMsS4DSn8+3O8AHYLIgVECPgUJ hX7DyHTdkGjkcm8KSC0C4M5nZs1Mb8rDnmgfjo76MAYSCQXDDOQMnPmc2w6Q n3r4dQmEd7wwCpaW4C5KF/bA2KMf3Iei0WhIyI+XEc1TTOW3pQkciRwcsnWH crIwI5yBbYNYhkRZHqrpsfETDCTWBZLDJDFrFReIlO80dy+vzy9OTy4z3JVc aBGZ2UWELSKUWFpDwImFC7II+KPMpaQd6efZZmCzOV4jJDzQ/JG7LorUxA+S hTTlHkoDrkk+X/gkdjEDYdLQJTKpu7/bgWFxVjjQje8+zbgdADXH3LNmczO4 B946EUcpYSBgMAgMDurBD1oWzhnFM5ZWeA6kB6rPQXKBJ9gvLjp/HPIAVh0M fMungDgiJsTE2N/tLqyu63jLz92pt+yx63uaCvDVu/+q1Zpa1puJIMCbU5KT S396DAsC1Fl3MOj2D1lBL7K//Tr+Ghr2sEM/mL5rtbbUYm5tvQYyeQ88iHoW 24ZhotmD6S65IZ6GgHf7GCRfowJ72BgxCbtmEJhP2MF0Yhn0yADh9i2guUHv jDACsk859HXp3PNHJ8TmKXChSgzkj2hRCin6s6A/g7scaVsH6st1AS1objn4 EtgKqLG/9GzDmnHrXjM2Uk4CwoIuRS4EYoIM/s5tw/X9hcE9u7oz/jmCyRq2 M9fACRDU7QYKYSmEYksNzWiGYSmQvZzPnxSoY+oAU4iD0oJ9BHReDsxeLlxH yIjACtdjExjoXCcjgnPLQMIauP7TqCFmHOgTAcVpgrl3SCRqmB4KVpsBW5gz 9XKilki/zS0XhR8UJsx4ukRAIR2w5ItjKG1kTJYeKWsDdYe2Z/55EahlZfkL kE8XcDEiX9wU+5aLiaBSIiEmUA1eCUjcRGwM2KTCPCESkHA5Bi5op03vrTCC gSJj4T9mxKEwjL8oebsIfDBNkMmwftws0MRxXQM3OiNc4KZRNmGBIlG0DEQI AkxHLptKAi58mBMvlZPCotd2N7E8nBHoDDE20Bn2xSyMxEp20kxKtzMyUYth AmEMtDKJmz9YGo6FgjleOq5tgNUiVCKyroRvcTPDdCroA4oC2QMWUUG/AqCQ IXNihDy/ekV7NHMNZ57daVTDBAWCgHHMaBnquhHvwSLhn2uno9EkOQjLL9E2 Obi5Xw9jhzNnUrb6UmCZTUIPU7HSU7ijrV4LNbGzW4oeKoqePLMer7njzc16 ugswkBKzgch5TwVloQMLQHc0HBjWXkNIsDnqhQjNwHooJ8I9rZ6zjWTECWdN oeqnCt6f/Xu9BATgkdeDzc3wvn6SoOLLN5oELgiaQuYMp3Igf9Jkpl44Kd3j lBlWtuBBC/uWUwFAipJMcVOzzRWQaaAOAr4AE1ynyACVMehC3DKVyVKtXTkH 5RmCkwDukdsMlE/BW3+o0doITGZQUXUVVOmDtAL1e5iPm1cIxmBsmxrS7Znl JE8H5Hi/LZ2AFwE1to8a0l9wb75Qxtyj6d5XWKkAAU9xzwYv2JAuspHzSoqA wkSsgxI7vNbCSg9a2g1GkMKZhCvbyJOeSq0wBLF9LbHCaB5l3cmpH/llHYVP nkZBKXcGVDrwDsVHs2plB858AUaUXTpC+RswvNBoQw+uDITCZcaw0tLUbp9y bK6FUKRCHRAqWpENT08A9gIDfaaLIQlt+LK15UQhRhb4m4npgocfBRzDIcpL iaQHYfPQCqDrid8gEiDQmbHtAhA0vuKPNAiOEb+H8dX7tDOn3hNqGgA5YFZK ZGwxNh3LsBX6Dxk3LyqJxBFEJ43iQfVgeg9WQYFjaMmlQwwJNM6LAqyDSeRB ujoaKzYHJx2GSvC075F+SyEntE4o8rWxoNNURrF69vRNzCEM/oBqnhz1pazA sL0aaAMDh4f5Nt1ut8XSwbIkyFX5+1/GhkO2k2ucDXJVNB7s9dkO/br003Uj owWVOAz2S3CQAYHKxodDJhHQ9ZB230p6GO4fylkkMymdDm2lNSQdlJE03hQr Gg/LaCE3icqR93AmJZgrzbkW5krPVTbehcE1jeuEUGDeJ8xF82T91aybZOwR g6F7vV5Vi2Tt6PCGLiYOZjhEQsLusNHRASYZYB1hYmV7pw2PdvvM5i4XT7rt lkwKsTnuMoN+f393d7UpPK+HZEqtFgbiWbc7dSJmvtErg7H+eYtcfzbaG/ZH w1GvNxiNJ5ODkcQGtUtZjy1YMaW9fv016w6POgNgLV52GTwwXR/zApidOT89 fctCLtIcSHp2en3zj4ur81GPsYsJpWzgdYv9p+NZ7hKo82Liu3aXgta92Yv0 CzUoPm3tJM9j0sGL1GMhl5pnStDhTYu9ec1uwE3AHBQqIsw/jtGUYCrqKdJ1 d7ef7r4zrq7vjLO/39x2KAvlBwxsZwfjBAzNDrgRmSNKb5js/OLDzeUZ+8WZ vELYXx5nMP9XmOSJKMbfg2l0oZ87kSwFc5jSNNiBzO+Z7qP5FCJCvxSyra+A gK/ftHaadlCwGWQHrEUYORaZMS2mzZdgGoULCrWJ5bv9znCP7ezudoZHyPL6 VoBnCCJhgR11d3t2Zpxevz+Tt3f/uIFbAmu3RYLvD3GxTLB2vrm+vjw7uSKw Y6IY/JxJsTH78stiVrpNJKpoUbTqWmwr4NEy8Aj1ty2pRjgalNjL6fWHm5Pb i4/XV8bp5cnHj8aNwh5a/tHqbgFLCgMVMXvb2tFDFjACFAAyi9PWnwW8UnSN Z3d1fUMi21bQcT+4zgwKdg7A1geb0/EWy8gg+wqY14mbdmBGW1vYUpPypzGv b85uT67ei2E7rN9u49zgV5hJRzwvbZWakuL0GghrEFVSsM70y6bC8DlR+i0u o1hgL67uzs7PbqXAspz45RikgE8/3rWB0BI7DL5PwV4Gm9lfKOiv4nklHgQ7 Tiar3A4kfnU/RU+EZPGYFVyYpiwZlhDxbB2O1HRWzxAYj6L4mJexwHQvLHwl bmJ2MhpxXL69Zs3lcfk7uc3uHY37RxOz1zsaWXz/kJdvs9nWxa02+x5176A/ 2u0csB15hUd1KWq2jYblGF7dGxF7jVUZHZZ75IdRh9QM/pTjRnmryDcIjm2/ tH0KyMA208G6GEFB2ebRDI2Fad1zG1RYLS/P/ielW0q1i+hPMpyAilyPgVgM FPrLwOIGbsjttzGCWMjzJU1NhnuKsypA0xRGxgMq/av3UpaTmRIVOoIro/6Q uCKuGa4UKgGaMoT6CEP4MwzlBMFC+cn7WbwhWTN8T+5bihtg05xitACrmqje B40vquOgugssh7EdsEBoj4Y/VKRSGAS4fcEe3oiLl1XLe51+yhY18SM9aVRo 8ayTkRCAox2C9Pb8R4ZRVGATEJjIIzg16AtO0fWv4ZQwEGkBAVqIhMCT1Gj+ dS19hPl5fZteM1J5alaN7LhDw6qtWIJr1k8eXAgRyUsD1D58uoyNYjFOunYD WSUK+7A/pTSIC3sHggvimtVihXqYAhvotkM2K8NoXqK7QPq/54EzeRLVc6AR WaoEhskOQ4YmvyxPxMwDYi+r1qRhrBQBDtFUkOMtKlZrGv5MnCCERtzD2HtK uWl4kwONVVzIu+9kyl/gnNJcJbFDbIzVUNgrbvuC3x32EvsisX6JYtB9R8Fd qdSOBkN06nbUjY5N+VqkSl6RMCgtdS7LRogJ/DPsuogS1XICD97zBacUDVaS CRU29YBlaqL0KOJJdSbWb1LpIjhx03TXlh8E3IpUQ1F06IQ0itR4Qt3X8vf8 rlrhrdpNqb7DiVVZMfg+tmJ0mnakHznZxlBES1UIbWs7CkAjmATAFEDjCdep rnBm2v4j5R6Aqx2GNRGdOgWmb9QcuctnIFevXktasa2MjTFAG+P8+u5aCgau BsM1x9yVsMT7Tx/PyF+K30HzQaGvvL0i1nlsqQx3hweoeeWVvHftchZpCLWp wdysJd6TfmhnLQ1H1nnPzMC0sBRY1v9mrYuLCRZNO9AXlsOq5RjyCAyAK8C+ n2heaIWarZHxUGSfjnkh5XtyajMtWzrelTRiyUjZFUppByACauxUP/EypXAT QDMTrMiA6meBdKI0kan6OqQa91Cj2QlB0H+kdOWC1GMQETR7yc6/PTVu706/ Ozv9b+Ob609X7z+KEM2ov7/XwZipuskxOlXxKRnNkdE8MWWQ6aS0aR/voDPJ PJz8PJwCYz6b4QLnAoi9uCCv59UXX7j2KyqBju3LL2z2gujFXvjLKHRs2nVh pwGFDK5CgHFYto0Nj/F/7Rcd5u0MyAyR3qYoaV9BECqczdX7KtHQcr1LysDa grZJ/KJkC2bZ/ZeQSW/AYudlQN7MIISsjH5iFhIEUfn1KRkTpV1rNJTIr9ly uUDZXpVVlfvoun01ZtVy8a/BKrFMj8gOltd/+iKFXQXcJheLWYVeQkhs8u+F uQlu7x3R3iuv0pzOltdrGJ28e83QhiA3F33H1+S55YIW8P+Q91ScGJ//iUxb xR+vMXNX7qfcryfqSHTjoBI8X1F8MUtD/vqrL8JXSphZrTh30HkwPPD/pFs6 2h9SGEdeN8cgjNfHfGpKP53ZrLFtdDRMWaUaw6aM6vjbDOXx98Ic++COLReL BtSvcV9Zte+aXqHEx0OpVg+PCuEFzTEVwVL8C+09YCLeJspU/K4/3BjfXt8a F1cXd8LJRfsbC5Ri/QL23Z3Ol0UjTvzIjv/+7NQ4u7xT0al+W5nuNfGxqrBC VRwhCRzgvLrvpDNCgUTxhKKKiZ78eCYkz7i8Pj25u7i+ks5nAXGkURrXpAtF LXREEmqJSBhx6Gi4RxwS12dyqDkDmq69gGMak9OQ7CulythxdlFq12MdkXeo oWZZNuROY78xJXJlrmOhx3LvUTo7fL6IMLUwj/JEa0slujvao11OXuERHlM9 RimktWwIjfAlVeqlcwjAvR954DN0t2xO3qNPITzQ33YSrEkwbpxnKNvJ1umq fDMjw0P5izb/CRTlz1VRa726LSdBhyL4OrtNKtyMMgYlC6Bshw06lDVO73O7 o8N+ZzhCHombFJNiXni+Ryhj7NamU6zAL1S1Mh7H3bQTJ1CluAuJSDaMKuZj LPxw9Y1vS7vn5eksFaB2tyvACoWo58yKIlaXBFmnq0YiZgaRlDAuAvdrkVrk Fk7SYcHyhFzSdcbOKEvNFcFZHkuPTzcW5KkM5qyzRleUhPPNScL5JiWhIY1X kYRKvqdTsTEGeTMzq1zWTIKVR2tTCNbhmFkynRTK7dzeJGKdIu8AJFfpI6H+ zKmJXyugJ8LfoO9p4E4nNO5uf7+DVbDqpqBxMcSX2h8xxLr1h4hjN9UfWbVZ QZZyghRlSp4sfrsSKiXCtA5GGUlJxEjgMlxjO6mUlwpRKZJmmSdNI3TKFtp6 WBXJM1QIbcCVIy+6YeRWyvloj+pB1U1BzmUO/P+BbOtFtxTNCknfFCcr4iEx ULnRuLs/7Ayo7lPcFFjbkIAfLq4+fcxWDbCywgHu2fmto+k60yX2SpKdiSBU B06ysKsipBWcUrz0C7savzJl0GSHGW1IlQoiLTME1fu7WcCV8GiuQzU0GVWj pW/wT9Go9Wtyb7BPvra4ao0KnAcGENZgd6GgpYzdaox6fieQJRQ9IYoJ7TR3 wjl9uqnE8RXEzFCZCPimMQHxQAQSUF6LEd/kIzWyoF0sf5l2Wab+eK1qqdrC KS+r0Xt2id5GKvTwzADlXzZQpSf6EpGIknAH1vlmHdLaEpWSHYEiUnkKx2MR LjFvBwPBW7puirfEv29wCuz6lgSKh2E6zoiLLg0Oz59Z7adh32ttnZ+GNwVA JrhBVdeAOjz4U5BrtEtBc3mV5Mp9h0kSio7QOovID0QQFpTXvbizfHFPYFge OZmEPOqkU3BYWzz3bSzS247Lw1SBJx7TtekUyzb+Pz4W8KfIPCaELFbDv0Vx TgCKZe5y7rjItrG4pP+WeexvhDzc7ezEx0+IHLu7hx08LqduNk0Q5YFiSZfx 4eTvxvcnl5/O2LZO7NvtdPkfftbhbS6ija2WnuvccxfIurI9XWEbCY+4XVOH nQWVUcmb27P3mAa4uz25Mq6/P7v99vL6h3wkexWVoEmwpvSBCIoICKVzkzY5 fbQ+7ZpVr1PJa02AjECSUIROd+pp+fHixzPjx7Pb67+EmCT+e7tHQvzlzV8g /kSAQgo/vx6yQO2OKuI1knWwkTXQUP6byL5kSYX4b1r0G4v9RkReQ6o0UypI lQUTop+rossJBZbPlRI1tw42vQYOB1QOIK+ZFaDO2mjKAUTqn8nsOsq9+EaB /IMHgSglEZZCbOllDz+uy6mMya7XTJh29x94MHH9R52cdGSKUqey6tv+Var/ wXfsCr0PVPVl6UXugA8GnOheJSj3DneFzS+ufw1bxTv2H1+yq0+XlwZmYUsY vNriK0nMECLlqWUFIMhVVVhOH9PInscsOw+myi9ocT6DlcSU/f4RMUVeNUcN ZJ3sdnKSQJTBPc3Hvot8epprthlVePvBvOf4IWguDoYol0q4XTSAOBRCI7r4 oar4pAEeCsfC3N8pM4sfbF754EBNamhjaSGxCVUlnVdeeLJnvTMWl5XvYyIZ 477qJsPA/OdV5eoqcg76k+d5xA8Yh98y9nxPfBTAxE9mz8xFzLJHznwPFKOV LkSnczOJC43zBi8aOoic6dJfhsC/W45n+JCrM2eKLngMDX3i6XnvVcQwp8OW IbY3vSfwy/Hz0DRmGDmui7EWgLrHk2Y4rIhCCBbErjr+1KeyhTKXp8xAk7Jt zVp+IaFftN+q8sjy9pqlnm4vqZgqAZEvdfUfsXOcGHOGzIaBUwYb1XJOvCFA NOpQe/zU/zkpAH5+VYY8erJedxUHVZIQczEik1VyyjF9iSZu/JXzOAaNvz+l xB8dksIS183Iu6z7eBYzdF1lT0UqLUFzTNf0bqKsZlO8S9hWo9TWNSi0Gi0Z NXfkNDGspaEvbIl9YD9JgbhuRgpkiixVlmXQxPCbhXiUDUtN9dOTYpEni06a 8Hy0kCUh2quJQIOj/av2VCUCxAxJprSIz6NTHH1ZWr8mXbMYLl3B3bSg7eBo OCRXWN0UI4nxBxXr7Eb6xy6mBwed/LGthhxW0QJFiK0Ci+U37vBzNIqzzS2M Srau0U2poZItnk9ZoIgyqN0Iv9KQLhpCm3oCS4a9fMnw2n1nRlHQEweiYG+E x/Jt8WVbmnLPSfCyypKjijqdmDHpr42DDn6a52ZYWvosi55FBTQJdGJ6C/nc O5DyKW42I5/pVby6iFLjSl2kEdR/ZRW0msSK33OF9hkCKzEokVn5tvoUTTPJ LYhJqQpuXkJ8OOhT5kZeMa2p+2cTkuBjpDzywEofNU9ikQJPb+m6RiquUr4n QkdqeulGMf8X+XBEDCXkON3ouZK8Xl/VvI37lJirL/6n83WUIdKyNNWauEt/ qw+uCPP4cDiiAn95LWOh+pcviqzEWyPy71Oc/TcTV2ViWehm6vpj05W5tyYs lnbHVorVaq2O9ihtKK/wSPvPluSMX1vGXGNmW64K1jTnL7aSRtBa5K078p/Q oO6YfwqSpfssDbQlkhafD8980k2Qdl+qwX2lBtcn7dZWnGaSH9I1Jl6KgPm9 Xoc0fasf8U3VFCVfnVrzEyl60qtPUMQwVc69giH8Etz+r71vb27buPr+W/4U W880FW1KIXgT5dTJKLKc6qkteWSlbd5OhgORkMQnvJUgY7tpvvu757I3cHEl lKp9rJkEMAEsFnvO2T17Lr8zAqZhJqKPggpgpO/sa6tsk+7TAEGDwYAGnY67 Dbolp6joeBGo5HeQfdoOON6BoVPM/nI2xE5kY86Yu2xG1j1KTjFO4p5vprmd F5tlcOyPA7LM83H3sf8lwdvZ80mCf+ongcvVuSydLonrmYP/kvhAQL6+haHY 34qcTFPSktM9UaPXJWr0ujVQQyNVjljTXY51gYEtctU/9tDX7MGnOwqMvp4H 84Y/wVBlx79N0z8fd5z+hXZTLVYqr28EkXAciedq+xSB88Uas205fig5AiqG rzKZqkW8I5nEmvOXdSfgU5zJfqSrYkFiBnCdzjX23m8tDktAcXFYwwoZPO70 A8S/VSew3XbKsBFFrAxwC6kMtyTjyYy32mEcb2bRmGIZlALArfinK7qoFCBo 0TJNC45aS3l2k/1sceuz9eyBWnvn42BnX1jVtrL1ZBXJpyO3rT4XC3su1udy bWX3uZDRu/BLS1kIqFk6BO5odXfHj8hSoxMvfl71xTUMLSxUrnAe7JV12PsH oHQraXOhlZXtQFD5nRr8/YTyBzYRcSCCLdRl1TtvdKW6mBpZWUp4PYGuhViy q3PoC7BRdyvYr3q/Urpl8WvWbsW9VQ/XFvxxMYc8PZwVIY1LVb/TbgaBXKr4 RMW65FQFTcItINoC9BjKMhOCQNtZO/GnIega1s7KCnc/UWE1UqxwIzSJMS7G iWgfghJUg/+xWltpcwaOb5CFxkh3OKjSMHuApAUHX6/jw3F0K9WuaNygqdTu 37ZzdgvQuym+uFX7w+f5z2+BeNvPKzkXTjtpyLl40XmcueoIk074uBtP2b75 PG+syRUqJ9HJmDivLGdKryVzCb9wqis6HU7DBDN6QTyMjAWMG3V81O4jmJ86 2VWMMZyeAsnbXibCKy7lS6Sd5JhC67OCQjcDiqNuW7PNOYUBTe9jmGeU9DEq ZZN1booDQ+xZRhmGZpiGXLIek7jlmI4iEYqVqj+VzPVIFfR59I8hIylXkfPM x4uLeWYzjKSUkPCg1aLIV3WyK8NhAB48BgOmIE3QaPiVGlexgFQoLIamBjfP HmlNvHZs8+4BlamBlMx3ak3Qu6dcBB0aOdoMqoLIavuaYTwz2THyxpz6BFyH y1dAgC5xdYJub9wLguPDw0F0G4bRUV51An44rTgBX8bA2qMBGoz4CMWAfBXE ExDR/I22EQNcjHKodZ4VwTgbPCeICdROVNV+3MTKPaP1Rv5Isk6Wl8WtaMFE ILXVhbw+ipbkPeRoQVOaVJDFQCkngCs2GXEjM8khMYf5cW2gDyHB8yxlCwag qCgTGhzqHfcJdkNpW4XR9OBr6qZCsRXw0w3UMZDrvPYDKIe1N4CC86KOKFCX jzsTGVdMMI+EN+BflpuKyTQaG9OyHOFhiwGFa7IFFgNL2x6zpG0Q1/505F9j HmRcMv7yeRSNY641tYIVI5qPIlxndAYc3Yl0Ib6iuPVWgNq8Oqll7GF8aeht w4/r8geWsKz9DqV2A2/xJmxrgjsuIG+qtnWr5Qky32T1utz+z5Omn7r/c8bD TtJP3QYmn4AeEkSkM+dxIBBFNxtG6HeOSB9UJ7w8K9h7XdVY0nLMqQxgwIS6 0RD5M48bZgO6nYF9FY02qxiC48GUDYw6X8xX+sflaiHZFSLpCWbMys3BmYNN pQdqfyufw/5DwHKxCOhJPNSvs8Kg85ryBUMnm+KOohLx/vrk+vxU7DvtcmQ0 9/7V2ekbRHw8P3njuTElB7XAk14TijA7IY8yQAHJbksloW2dhzn+1zGNfYEU hGknlGrsMFwjqKahZkqUdKLdLdXW0LBYA9u1dPWHkmOFOqV2MiQUPcr25mMV kSB1Ph9o/ers9Pur9+eXF9pi/8UX4nc2q+EPt9PwbkgVQeHfLvt6E4PSRnnE watpA23VFE4f6bRGPIWJvzLWKVfkoMvWuOdopFzc1ac10iXWSKPuuNsLR4eH o14UjI/aeRopP5ymkfJl3Mi0B4hFyUcdGAllxadybQf5whOOP7pdLXRQ9oJP 5rA/jNlfA5l4swmUsed1BZ7gWgVerwnmyOJN6FUXQUoeTsFQFV9BGe4B1PKZ 3A2pu2YV8tWVSXnCj7xcBpBDFMDjkPfIrZPlUAs6nQGVZOoMaicSOJ4/rqEx f/DF5PZmMf6k1YSimVgutlAWVZgOWWTgUAtvxu4OKVvJ6Da0XPFgQETmGE40 Dfp9okG//xA0+DmSymd4Gw2Xm/gedu53kDe5gM/nrzRUYvctuNHlY1J6RnO2 bMuzJuy/4nJC9F9IrQEXMRu0aqcWLUW8AOj6V/9eo6s1gaZEOmJnKw09PurP Lsax7hJSNR/dgnE42BYkApnCbP//6j62w+yn7j8XN//bsFU4wlWAyAuMZIbl 1tXx9OZM3SLbtxz4q9Eho5/kBb2pW62w+yqlzrKC7yu1l5FJobrcTI/F11/l RDxus4yt4cTGcpfDLnYEDMAMqd0cwh8RrxyT2ZSOHl7Z4hJUR5/B/6l+cLKw klQmbvEpQlieH5DbjLGVdyhPJ9Jk0oxzbnErfaMdK1iCOHi/nzp7CaNqCdJQ cJwlwf0+UYWOdnaMa+ZIpudp0UTH5kvcA+C+7v3JX85eydP3p1fn764vr0wo stKM6/GWcPRWPT4TKxI4g0j4Ib5Z1vKvvCZ1W7RbrQGBk6M5C4xl+KDgB8l/ Akxr2VjVNSbNMZWPVyeliGPHagCzJPZUXI1793QiFbdZR0KRFeKZl1KUKhil LVnnr3N3ETr2MHPnYN+lI9bVDrzd7ncRIFSd2MSMNzdsXd/OQKPKKfL/FB33 0wSdpCWrnnn0Fsl5mGtUKHao6OQI8LEFp0frVnuCjOZjHbpoAR3QlG+BszoY Ao+53FLyQ9XobYcmearj2TFIhTvm5+x0qilO4OpOuRFE2/dbUw1uXZ/4amy9 10y+2CBAOGGWvHAgd3FH3ICrds2cp3J5n0YxuJjkzCpf/9TZI7fbA8JVVie7 yhYOt21L2+JEq3BPNU78N5R5U6LV9NfI/S/nMrvUUgqXRR9H6H3iBtivtq+L L1ocB7WTjiXD0dHmNynOKNZL5GqX5whH816hIsH2xERlyH+JP4oWqgUcnSGZ nXfSTXJ5RDFQR145CJry1sVKBE60xX4sVeeXL+XlBlhVadk8vXx1xoCRcO38 4vrsu7MrXE0bSevq4wS5wCFLD3WQl6VGcBBY5RZriUat2FSmFBb6lKCRmHSY PaD66c9gZUEePG6hnYOPO/Kgkqz9uVQhAmSUlr6gkk9KpVwnarKnIQiO7Ers afiBfBNWX5dz1xZcbP4WyIr11fy5RQgypAUN50bvPS2V4dnpDPrNgXjOxy0V fbHMRhVomJjI6WKZFEf2jbPcy/mKB0gsljRBTD8A0NPW2DprUkGqjXC40+Wg YF+2SEh9KTcrUF8ypwRdom9lJbvQn8UiegOhIblcoKLu8QANWHy0yadduWht 9dUYtcFqTB6TC/mJhjk7FzBxSfYxjg++pvIL8MMhWswO6bHHXtIr8TH2pYxN tPOMY/Dw7uowvCPoIpQQH3eik073YtMt/aBT1LIMg8twNXNyq6pnePl3mlYS pH+T6eSb52ySncTmlA2zym7DbYp2/KiIRxz6/iDA6jzqpAYhUYaL1KAaUFA/ zYBKB1/PDznCRnEwpN+9tI1a/Jh1j3lBacRiD1W4tYwyKuYWjrRxKbOVaZJO kNRvTLCe3ci6EHj6FjSz70vNW7LyDd37hJcbnW/ey/zastknSZMNLtPpZNOj 1MirEeJ7QtcJNn+MQUZLNcX9BUcU9xckixeXn56KTUU2OlKZMXS5IHXszESU OliWsS57xncmoxzWZ/zAdkCAp3TcbTyxc/eh3P/BdkqEQoW7cH4RIlcq06sq zegsCelZ8bxu60sqg7ZSBEO1yk2oyBr9QfWgWNCTi5hFkb0mWBDakFvsodqB U3wdg/p1OruuxBQjMplDfM2c3QjYGHqDfl6HN0O6SoA1rNUxq0xiuljVuZNZ I9E73Er3VOxudbyYHNhP2DUL0mUCB7zLstBVsnA7kbd+mKzvhxihpRzZuIQ7 CE/0s8qe1j5UtcpDBoLluTjzVAauqZ7KpLZqKhMXp9lEGcNnoo1jK+kgrxBw TXDbFt5vr9WnaLtWP+np1Hn3y0+JSGSh8hlwA6Ei0Q3yE3QVpiam1iuIPCXY XY7Vh7skh+HMxrYruS2DESpNywzrJHatFDkzzJPcmBd52wN173jZ0Hc2jshg CbbzcAQYfmDEjZuAQ3wf/gwhHWImb5gsp5+4PCWMP5Op2yYydbcc0ruRKS1K VYHZtE35MTcryyYh2LwXc7T9gcBTNpYccRB8QYLv0LVU3Tev98YmbLnWfA4e i7I4TtbX/pWGd7E8UHD5ApbnEJyia3Fw2UEzl/zixebunmo+fQhpoeZSygjt GLRR6eKji4qOSUTx5oaR6zmowMJRo1VrtlzMYZ/wTIxmakb2BtHs8QxtRZAk guV0llhB1SFc3SU3OVtJJ8ZFW3Hbn/TOVtzyu1jRVV2zWah59gv0QFO9Of1P XhAHfcqk4qNDd/XaZNqdZXELtmxwbRWvOk3PKMSaHMIh8ir17lXibiBjPT7K Sg1lmHC4p1NVLsYKcx3uP72WPBqhrQ8xEVbRTIopS+F6sRDxDPW830/H4o8C vSSKRAOqHMdHd2qVXQlXTpwPKolTrSXCv1bqX9DpeBmNxDq2ke9PsFgB2q/R Y6JyWnGOD2fRN8otAn9YSiSKljifm+CHeiAr6vMQsNaeteubai248CMr/Ygb IZGa7zrl7YCC9GkdYQQyH0H/HM0xAFXlarJJWJMytsBFlQ9B0cdMhYlM1uzJ 0oDlksZXLZk1d7Mr8je7qpVC8GNud7dHXF9Vm7BFvLaVUhyUJGIZwY+1GLyC TyqSpehG9d0bpyotPuoH2FBo5EF66GnhoNhcUpWoapCKRbBNFWtTrOkhyrKe 1wmWb2rJs7PoPiRTfI57XfRk8BHSH0kH4uk2Iy/dkxBpbzMwr1dn96vdBruo KeLyUqWni7sFqNy4u7J803nJ6sqbw+nqjxFOwTicCie2kyGmKI5Fv03wjnTc mX74h6ujXCkhFwlSadcp2Axkbn4pvr0env7p5Ork9PrsCgIIfOgN2PAvj9/R LunlxLg0E7UhJXP/j6QCRGauObpCozAgg+NTXPiItYpDW6vIJT/Bk/TRXMZH +ZMTHZ9NxfTYeIic34qNVzsR/Aw3NF5BSgw3MYzIjL6Ub4V8d+jNfTjn+duB KSo1iW+vuL54Sv26zKncuk3TNTGHLFdJW4xdnGtny467kJhKcwaGctBGGwIf 6yVvZuKPNXvaJsbRvNFI5AI92mygivBee9sZKZoeQavVCxicpRdsWQU0PYZB kX0hJwChcEHCKtEEpk4rsEqvXTCBnlxdnfwwvDp77ZbVKOrMeaS7El+sTDrg rt4+nhj2l1tIWshAO9jMDSw2KpBP+cliPgu1TVkslodY5yMn01Z2WS4D8WSU km5rXeec25vWbSu8aR8eRuNu97g/ysu5tVtIS7y178HAoR7uquggf6DhvZ18 JBhSYhHX8ri0TY9SureqOWyWHE5EXKdNNPJefZPUdMsBAm2W4hsFzCleuLHg 6YWR5St1iGdaVBfdY3W4WF/0XkT25u35hdqYWCFe/J2p8V28ieoet5pBF4J/ 8Gi7sjS1huFkvs4O4WqKaL6ZiRXQDRdXyFriWC6V+ix7MxnD+gvmabEv9SwO w2xS1DHxNhFmtrxdyZeth/8U+/ebOw3GSZMo2rf/Pv/xkC5htL+cHt/KuWhr 5whfgq2tF0NkFW6PXllS084yHUtK/r31YzknT4btWDWnQ3MUm+DHzKM79SF1 jUHJ1TFnCMq2ljcCGku4IkrLjnujZGupareTACPXSQ5iUbg9IIb40z6MvcZT G1AE3mCwlUEKGjd4YiApgheCEeJVg7fnGQj5CnEqoEujTfxMfJC70Ij1YlIu jM/hFJGgSJVff1i4Qd5xaQ9ZVkZUKH8lrIk6MtO4NfUdl5u1fNZGwDmwEHBg ysnB+tbDpvKlj/ukMdFR/kQxxOGtnIQUXreViYmxwKwWYzlyrDP9/cX5tdh3 UnmU9RY+A/esaMbd/0LqukNC2l3HDTvW1t51eJPTxH6WqwMUjKEVvJTdgM9l 5TSgVf80f1A9u4s9A5qZcCip7oAplkO+270urljqRO83wEc2nMzCu/TizBxt jH+63EDxDDJOvx1PZoCp5bWb8TUTUMJ0rGGFKaXRFnB8qK6qf6crt3ynjsp3 vHu6uCgMGQoDbQBOL69OLv68FfbaaPxYquJgZpJQhWZSx0NTztTE2DUmr6Y0 ypKbAh3J9AXNMGpFMLOSmpnsuCbI1kT56vRwN8/HCtKF75khNgUEpKZG17yg beREfP1SzCbzISJf3S3k5shEp5SP2shYk2C3BG8pF7mRsSyZBtHKqT7i3x58 0+4cHRENj46q0RDJJeLNjdQ2hlIyAJKMT8Uf5evQfyL3IbOpOBCzZ0Rq8VxM Rwvcu+kpw14NX4iZfYtqBQN6alLC9ZxWkxbuzJHFpkj+LMX25Wp1EPm6AaqD fFTaiNmPIQkhXH29iV3flnepc5OeZS+1cTBtFQOzGejezipWyQb6G2XHueEY ap/obiYa1v3qju063+WFcfttTEVCTOKjFkIiHhlZcqSwPP+4KzKcPCd+PAh+ TG4L2RiH3kvIAt6X4u5pRD+v4WYOYPxwNz9Unds167x6ewUrCKc6arXyrYu/ MFhB96iHKR/qpAoB6W8XEsrtxmRmVW0vWb4ns60KrCAbOIB/OswgSljSCqAP 1KXiCs/MkMcGNsGsdOuy3Jni+IY/X2Sw3bxO9Cw5sNl6cmZch//9JalRLAG/ CjWSVR3+LdSoNIR496+c3ZrotetMSzz/7urs1fD15dW13EINzy/+cvLm/BVt Q1Xyfa/bxdgXdVJtdrJshBZOLpHBYIupUF6NFKp3GJyYjG9rlCwCkWVIpHCQ esKrrWCY+WZG4xNXsSUqBqrFlKgby7YksofBFZs8pm1or4P7XB7fstd4l+xy E/ShUkz8meN6c8ubzv6gRYstn/j9EFbxvHRHBDmBltHKyekvbuRRf7+YUyFs qU2W6djYu24zcde8Kta5Mu7xB2U5NIkjLJcmFTyDiJgwPvhaRcucvB+evH// /Vs5X4G5Z9vlm9RRMIpWxzLuOYmE+UalDJOSGaaiJqF8iMIqraWOOQ+5LZO+ AV9z5czyZH9YM5T5q8sa5Uuv0y/hieGo02u2YRfFJzVODO62uGRtS7NZ+Fzf smJbn+tbPs76lvayqeSFPR8aMqJXzUBeaF6yKjMqz0lv92CgrDnOKRxZ5Y0Z 2SVmkJWtyZJDUeZtaXVHUoaxS4eetXlJ+XzrTvFwZN3qTmYNTNMZu9AqqgXT GxhKUxKc1omjLimQfFKrAskqyi9Wf7waEHiBGwxYU1cIW61BbMX1Pgs3BZP0 PGVh93RNWKuX/rqw1g0ptWH3disMmyEHiaqwGXJgl4R9WCkICkpBoKWg2qbM 9r74jS0mSrs9AMnpAKAfnWz7Hdhzk4vmZaSm+t5rr+Sm63H62Atvs/6LHes8 Bv/FbnXvRkb5048JtYuP1YXKVsvIJyO+lmzzmDM5ifL58SWJNWdrxXnOTlW1 9GDscNAZ4IqvTvwr/mxRaL2Xt22mi8a2ZyRR9pZnYWfqsehCJZ0g4jsiXI7Y ghmP4lpyn0u3k04f7eaFrqqAM9n8rjAKup+7Iiho6cKeBqanoswLaB75W6E8 RMRFwJat8dg5CS9d73BfWIa+BSpioHk+MWI77DRyxyt95nXvs/riyTzFW235 qqz+KAggwiQxqlDeAPAE0281A4A15ZN6Jhi1i+Z0G8hsgvlCnkGs41StkPSr 5Z5dT+aIiIFRpLfTRbhWcfTfn7+BUHqpF7z74f35dxcJkD0VZnrIEcef56L/ yLmo8BxCKXOSuSrLStt8a66kWKyWyI/nX7VPt6kGzgp35qj+2qbZB509SUDd NEREN/K+wAh2m1pRo6JGgdWYdvuoGbTlLMMn/llmHN9PbnNzcDBTj26doi5D xYtyB+PbczmBaI8kUWwa3ULdzcnd/dqK4Hy/jEaTcCpGYRyVTxjIjFyHXpdy pGaGsVNrflAt5YQk3S05RhU8nTzk4htg8UC8gEMbyz6VdYo/qhG6mawxXfxh xqlN4xSocSJp6OFmiY8psjCZFbBA/BxOveoF5sTZ2oVCKHHzRShPRGcMbuXu Fk+YysIExM7wFFM8aSoLG9BuUeyqN6kJEJslb71gOlEdMz766ZTANvITKulY oBfShMtUIYoAMsEQs6p9O0i9tPiJ9Ti3xz5FYjc7X3JEWj86hc46DKPZ6W5B ylr2CKwoni9gKiooCfBnBwdZK8drTNOFxLNotpS7+dUnEd6uo9WHcAVYhXL3 PI9GURzLC3VCNdYURaQAUKAmbrodAxD+zMLihS/y5Qd4kTPshHMsAjOEROhk p7U1pEtZG3z0U/YWsm8/U/Y/jLJcnLCzXZzQUHa9/jQPi6yKn0n7mEh71MYM AT6m2Bcm81mYHsppZ9/DIkpZqph5v4dl5wG+EC0A9P8k2Ga4Xq8OyTkTTtUz FrIHLPxUMenV+dXZ6bXC9ShIHtrf5trGcndj2KPLd2dXJxevWIdr8T4ynbLe hxouPA56MIkY3RYRo5ssJVQHMbRl+T6aw+ZJaBxSyUZvL1+dv/6Bh2AGCWUG t4JUMSCDHW1UUFNcLGtIwIFGsgJKPF2lr7CDSWAyOf/b27MX4q/3CGsbifOz M3BpnV//6e3Z9fkpmcgiAFSbzJbTCDBTojEV/cKN93rBhJJLHJjl6Fi71FiR QbbZTT4xnYwma8vgdv7+4uTCLZQElevVpxf3oZUpFsVX8yOC43k4V5HAqVWl +Gp+nLBqTRf1zJwMCQCRWd0UICg+Mw5amAHHxywaY8nIIhZYRiP5vAI+ohWw 2yI68zEFfWb+yV9KIVeWEyXRAYEG8N4gCALaCEfrTTg1FRVs9mDEIcMfN4vx p6ZQDx/qUO+dZmKhmmO8hh3n5ERzSPx0sts3b9E/Xaxv7ZCGbBJniBsNpwFz 7bYHFH2iTlJ4YQXI72VZwYEJdDJZJrfYoQ4aoXDhlce2UQ/gX8ILda6eTMYA 1yD4lZrKDPkMb+K/EbbHVqZrhijLjw+SA5JGTx6OIBEubiYT//AFVYYvB++0 UlPZw7ctVnowCtkLdVZpt3eMKj8fsxY27G8lrd8qa61bny3/adCfQkI8N6Gp NrAWqy7wwEiO7opv55/LlMxOACmSBpBRFTen1pK5LxHV5olhNlrKLIx/isFy DflsPNf0+6jq8/EBiIAz32gEYIusUS2Wh+OJVGlhL8Ww0FjEVw8ndRB2X6rH 5hd8HGyff2/9qP+9XoB5j2SnSiHzVOmp1Fjaxs3uetPuuIJHCG8ClzhHHZIQ Oj6EhGi0VdkZ+J+c97F3i9vbOFpvz3XJ1aLdFMtFnJjp5DW5pGUvFu3yab1Z DiHoRI3AwdSeyBOtgosHj0cF5b971DuCwtJ8fAAOUBSTginZr4w5A3l6sQTh 5NktHRhyL0/fE9PJbKKqgO/lqXP6bu4+x14XJXyaKaBUA2lSntJRVzaK8Av5 KbqDDk3QdHygCdrpWbrQVtFQsu0uNYy4Ry/ZHvaCMkpj3msN0M7Mx6wxx23U Z83kATSTXhD0m0EPavzSyQOQobjqoTqqNA6jwPwXKyXmVQiGoKiTMmjWEO3/ 6fLi8mp4fvH6/OL8+vzsvdh/dXb6BhFZ5UKDwklS8K9/Cbr34uTCe1cjWWEg 0aUkYIOHdZ+qR54anSMdx8Fu39DApOiYXMScnniEw+nJ83I92U4WMuufxRH2 QwZ1A5XLhHh1BmA65uNDzHG/Osuziv2+DXWwax7d4NanHLOQPkxwVxqh0t/n o4563/MC7/OTQ32zCg7pBUcdDGlTJw8wzp6KD1rD3prhEJSPhGDrC5VC75cA yANxBKDg83qgred1t3JkP5mcXtQgWEgnTVvp0vXStDUvUzdl1RoEwtX9klCI cNO2L64XDKiUNB0fZBHc87CQpfH5pIEv89e6Q5AmsfoZV2IdxirwnJeh9grr r8WdNo5K2G6hGs7HB1EJKVcGI6Diw2S9OpIUiGk/ezX8f2dXl2kSo1JsdvOK lmshNa4rRTL2kvugbdevn6+MI7Eo2do9Ils7z3lWefZ1KZQ2l7nazmc65u2E PaQcDIiUg8FnUj4uUpYSyQ7Vj+RjCjgB5i7kx3AVjRJ+/6fz18o7hI4Jr0OQ XBZBw6RneDGJMzIHThJhwzqTR9dsKNhYVj0BhQhXtqlMQDjvUGg/6CdduQFO 4VkbwV+j9yfjrBPhMMbF2etSSXQ+pjDBZA0VmauKMo+9GiLdF2+otAoRNtEO F4sPWDZ8ZApFzHRYgzc0ubQBrGwrOQYwZjWLd/U2pNciJZKOKTHqhdNqMBNm qLImaBc7GolV9I/NBFIjQsqoEB8m4/W9+CNKBuCB7J/LkY4XdjF2+XkjKunN DcVWVo2pYbGZATfEIqtopCEmAgS8uzo7PX9/fnlB3NdolII5zEF5Kt1MKul0 4Lv6RsWCNUAPEul7HSJ9Lz3OXarKeaSnHCqia1Ki6J25g3FlzcLGOrjRPabG Ns7MKamJXKQj/nYHtNNDXqY2T1ZBFtVcboyJ4k83vKRiMsqU5I9por3qvR6V b+HjbvT+vyXY9Fm1VUTg1gzcqpLu3xZWFJmi3+2RGYpPMtgix4dE88BqUSSz 9Orq8vrk+ixLI7JTzoqJTo0FukrPAtkVuqxZwGSdbQ1VOSGXTzexDUszebUQ 84WUrPkdbFZ4Sn4pWlo72b0uQZXRyXKnp43O7jl5ip8sgeDhQsY/6tJmg45+ tpffPv5nfnaeH7dbvp/hozbTqdx7NvDELS1cdDZxdxC6ZVfJqwqK/ptHipFf NSHUZrhauiwI2+IK4Z3ZOoQ1QkTrI/La0nEXWqOYfQvd0EucXrLkLD4E8m5P WHKF3EzXQzPPMRPUlPRcU7az0TtziVNZPp2R2FqveAAhr14SQ0nqoEdbFDqm 5Hatwsk0nXwJdKgdxU5YxW4KyH298Uw0aDUGNOVoDQ8pl4MBaaR03IWyn+Xy N5FLIgYLZr8TdIF8fEyxu4bxT0USTwBJo+FkQtkoGlSDSWoycgSiUbiRvxi2 Eh/C+dpsQQC4d7SefkLHCdSvj1ZytxHOyVaFurfWh+oSSlVNqy6ZTEwwmfpv IlevPALFxkv1xDs3ZvdgkCj6nfaAOKCdYXmviQPuVsABhhfzGAHpz7zwWzFC jTyQ1O0UzsjOhHZyEqUeBiXW51Hs0LVLcIx8TLEKLsMR7DSK51O78QD4wq1M MvTOiptPxH/QPmZBvhZQyA3THeUnryB/chPhdqFWfJ2yVfEKyjDJkgecIysV okBoYoo7hsZ1Mv/U4MBij9+bvN6K3r02+rD56Kf3alWc4hi57PW3m2hRIjg4 1T6K38mpvVFjYeWPpaiY5Qf5+NA0hKEqmChGtOr3iFZ0TEOV+Wc+hgXbmKPD cbgOZZ/Xw3kUjSMYssAEd+jEQEwKvPOlBFqhGVsZgQYQlt5lgIh393eV8Xzm Q5lR/2g9yq7kjEPpwjGCwaEWNEai8SCg+ZeO6TRe3OZUttyDoBaNcThZvyCl mCkm59TV2sk2LIkDlOkMqdJOOg6QLiNrQRMXLh/r4ZPyRbiBMketY5Q+PqZu WebxbZSTcE0SCAXnYeTEZglz4WQtlZhYzuByqv0pGh865NqO5NtiS+wJAZiD VJOB1Am+emxiFy82q1GUQlVvzADOmM6snJ8uc9QJelgQXZ3IHyHTM1xpar3Q cR7z8WQVjYosYKyo/nUVLoF0koYfIPUW0RgWXMHZ0TF3h0MriUuRF+aNbY2j eD38sFiNh5gETyQZ3nxaR3GhZCYkCw1aUw9ffjqsD02AR9SDKAC6/PzOhybA j2ES/lZSvmwboCmMEaYO5PdqLT04CeCLCyed51JmgYCp2lV01O3jdp+P9tQH WwjZdjTOW42yap6hFoLFowDw0A4j+rU0pEuRIJkqzWVXThRJU6C1UYdx9OkV iha/pgXI5IbWODTqddDSzUeHRnG8kLvpfCKpv1+TTJKt2wVauSv0GDKXfk7+ q7SA5tC4XTOR2wWp3M4ks0NjebemPlGv2yPqdZMxqSWpN1/McSMCsC9TSEfC /I4h9NQJP4fxV6BX6/iQorleim+vh6d/Ork6Ob0+uwKx3W6u8GhS8pgfvJkS xvx4zYwDLHCPYvdxcziSW48bUI/mY0Qdsu714Vpan0srfoMH+6iFnm91Umm4 c7c+Pj4vvmFqG6Eq/qb2lkSVkIICxq0qrWXtugK97eLOK23VeV0h4PACrsxK zWXCkwbZ20bzVyaqL62OmVeQGEoKJp+vcrIw7Tu3p3rKx1J/v7CgHHdoVjpO xomVERNv0R5btlXtkh+9e5qUOpPO8JsthJqwcCdUecZKH2szc6WPspmVRJYF nxQD17cGf1IJPhHMSxA2JbeI+DVNwnmbTm5QK77dzEfQfzG8A+XAUIRUYyRg v4VQAXzcSSlwmJg+Khvi3U32haoMc0SKM28G7Hf7rqwZYc+vI/lwwCNtn3qe 8pQP7ztyrFoPJ7C6Rk6OuJr7rBFKcndClJnoAXrN+VhRam8ikeQofg+nDjpq we8sNQMer2X4MirFZNbwM1WIEt20NG4eqS6bBvjEHqs4nEXUfBjnigiMyfcX b87fnl+fvRq+u3zzg5ygUnIV8Q1TObjDn5frFU9m28ijtp7jxhGENYb2lGsr u26qBW2XN90pKqQM3U2JobspM3Q3NQ5dubZqHzpi4CMq8qVOKjNw0t4fR23Z IbUyldT5KJXWO/cFh2bu8896gQ0jlrrdUvdBjHHUplM7iRh5m5moFMqonIec enr+SRybtwvq+edw5zanbzcP27ebYn27cfq2kw1CbWQHBKHPxzQreaESFWWM h5+hSB8YivRo0CWtgo4pjuJoGYVFkgjmo8VyEsVDTiKzvpCvWHQ9xZqT63vZ 8MXp5TtADpnEEO0s6Xkn+/hzVJqcGfWwVNdK0TWjLJZpz1tKxh4IQ1iUuhoK b8qmnp6s7jYYPKEGb3Errs7enZ1cC004HFAeTPGU6d1jemfEXhamtyTj+S0K J5m3gc/v1vfwXiqgEs4/gbZmekFhHrKv3G1WBOQD8soEglckaVTI+324lFOU SZBXheFscA93pJ/yP5+WyxTJrD8Esltb+SFszF99aPLPyL61euaQOyRWFFgO k+on9dzApZGPTGnk6tyC3+wu/MlPppj6WKv0U0DxR0iXZDaQ+2RDfL11h/1x yl4hxDfCfVK8cEarXHrRb7V4JGDKaVAMsXJuMwHLNeSKaGGoIVHEkoUiouCj TL4sZMHJGzXLIPvolAsfBfNfl4U3b9Q1z+v+TavDerEgKXuqw5GOjluk6tFx xxUiNShFqQFnHydrXEEgHAS0udFCfr34+qXi7/JKXYYbCRuvLe2PW+O0P6Ph lIhj4eJV378/eyX2rUsUsgX0GLSoxhEfdSXteDG6Ac/8/G6oTYZFTH7sJZK7 6ujjWu0MyM4D86QkyeV8+kncydV6LhZzitSOF+IumkcrqKQUolUcF+rxQoQ0 t8ol+yD6xwZiezGJXnZvLsK7cAIA0UDe28lKnsm2mJ6lbEnZsSuVWsqyNNkG S/NrFrSA9m5bRUC9PkOiaF/u6pGkdLIDTSs5kYQKVPpO0RQxOCCVVyMghES2 9YcFxtEJ+BUJrOgn5D+HRYc9r7xclaayKJhlc077dqlpbuxP1xyr9yWSoCZ+ C8MrN2wp/+0dqNkuKvWRrydzuYX8ROVklASP6ZNnG/m/kdmF3Uitmyp50vcq pQlRMkHa8S45W8vLJOpy0FD3j3Ay1bL9oIb2bPO6a1S3CNRULGbjgpFtY9Bp SSkMpDjyiRZHky0dRZGUTvmO1SwPcIgMxzHfWs6nAvfmlN65vHp78sZU3wmQ u0k9msScXV1LxHyF1vLyXlIjrpP5L2YSFb4QgIzEqOKlhtIYTNOuyUPQsBAB fZ/oud/TuzKmN9tppWzCg07niLmUTjK4VG22C4T1T+7mN5N1OTbN41KAyfr2 /Fozqc2j5oW72uurtJRlref2/KVU02FaSsxpqRynXp3NZ/quRJ4qa5kZ3bi4 dKBYlHdCS90+1bmy610Rz3UJkJKPKRwHJb+LVb2lQS7DbDxkpRiOnglsdKQD /eY6uK4elqMq6anMBhZSNHNJfVsbzaQ63jQByYjNhO2Y0ICgxSBA6mSbaLPF zxEFeBLBEErrGfy/8SQBop4d1SlVTUuror+yRrJswbD2zilC4QZr5kRrWuyf FdBnbd7yyt3bARCj8HYYf5qPYGybT8aT21txcHAnGTX88m40+lLeCbv7L3GL fzBZHI7ETcqFJwigLm47USD/Ozw8Ho07nZuOCFqtfrf75ODgILXNJ8+fP09v l3K0OUWbM7TjaD2UOn84i2AokNWGo/ufoBz6bM17CvGME/wQE+w+jIeTBaTv NamCNSRxWKHe31+cXwMKzk20ikV8v9hMxxB3cIfsrDI2Jf/OJnM3AoE5Di3B YOAF9Hsp5iDj12ffnUlp6rIdxBDLFDwfbcHqU4qFQdKP/z758XAZjcP5mgAk 4apstHw+f4anoWzGaIaTwWJsTxmmDCeq8qGq+pn0ZwxMk0XSxmTTlExMmJnz 5vzbs6srqTd9e/JqCHTlPH/KmemplJnaeCifi6ZRHFssFH50WKg0N9xv7qJK HPCbFzN7XBzQ7wZowuBjCg9M5ogm5ueDUmR3Jg+TJVxp5rAoHQgNgbqLnBdu Jl0bcKmbT1m+MW1z9O8XonbOmBQUoMLN1De0CaGBXnRyeuHdX6YEcQR0aOt9 ZUoUh3WfsAXYNafPow8mgQ2VdqquPVDFtUEuKdMqIYaC5dD9EUyE6QKqmQKt 1OCBnYQ30wiNjU2xVSjru9enQ4RJfn99dX7x3fDN2YUZ58e/6JYI31LfPYvv 5Ps/hvFSjvj6Vuw/fQMjBUGXBPm+Xgg9an/4ffwHsf/730/HDWVjDAEMYRau xdM8DXKxjOazZYoWqS6yJtlqjVrt8Ojw8KgXhbdRN0+T1I+naZP6BqxbRbFB XTs06EM4/Yk2GUOwKcfgxZLchNkdgk9jd+3HQf9Fu2rX0WzLdrJMZPDCTWzR TTxS3BCLT/r2HtHMNjb69h5whzE4pqWYY8/uo/nwxsTt5PkRk5nK6i3wSm6s qdCVGVzZjL0cbwin3MSR3LfdhgADNJI7NyYBXdFE0PRYbGS/bfA7lt73p1fn 767l1EYedkbitO/7JmefSC2LF/wKM0cguTbz+D5cRRyhSAR97Hh3SIaM3JC0 EDeaWBOQPAURBLp9AnDpewmNRph0KmtRi1ejxhNhm2MpkjoxtcETDV4DIYUE edeTOw3DOnTqxdVEs/ro5fKX/P7leuXN6NNO+DzKlaHaMcE+HB97qUarwnCx LEi1uiUTySwFE4//B+SSvqzaHGwFUvEEXAKrALmADrtyAWWWSybOXx35Rpez NWaTkd2mkHc5twOl54s5WQl3TzKs1FQmpbmvqdRmvlIv/koFaWdJjkoj7aGf hY87C21hteTdm+/f22Z6ohgif1BBRYrTs7QOn3BPb6BQvRHvpoA0vIbCCimn IaVihZRsJtVRiwLr+4xN8jOUS1Aj//JXwQAXnUTULs2Jtk/fqCn1kpXANKRN rYQmCsINOpj7TYed2cjJ6Cy+HD/q6brc0vxAilXQIshDPnp06AzdWa22BRbk /LVYNodr8WhaYi2mftVH4WrtZURiPNI1OQjauCjz0SI7yxTRWhFezlKT2XIa DePoH+LZUtJiaU/uBUj7VXItKLKrLUuIjBktlQ7p01s66fbyRLGoBNqBHunE VXcoItMcqEjZDno40/KRSUl2biPHsd8K7Qp7LJ7xiZpMStF3ryyF9yrT2E9l jh/zktOMZAZd99Ipa82xObsgpEqnR3sfPm5RZbxIup9VyEA0glVxsUyYJpe6 A2javrYhuZRtG0xoNxGOpY21hjvbv5ydDs/eXFOiXlNMGjk23RgFXnwtWm7Y xDcKgktO1t/5IAZ80jdeENKdiibS93rEzr53u/eT+WjFvS+tUtJbSY/kt8Tr aLnre4jefTI887FOehsznWuLtbOrfiOmeHNdjOB5RHZZigLJLbiLhyE5x6vn GJaBCClmZbrERuWj8Kh/M4gOD8et3iDq3eYZlfnhNJMyX8a1mQBRAxsPlRjp brF22Ehw2IrPM2LDV2X7LaARCu0K7PD9fO/Ff0iFvy2fxUFQKiNRgaEeUsaJ 7I2VaaIcGziyxo2xhqySNf36VOtcVJuOjw5lIXIme4JgZRr+DH6A0lYdVKjb aXgnm8G9M2BYACFfn16eXF2d/DB8c/5tQ0pvLSpz+VbSZoLJLLwDkOd0ytEd DShaaZRnXW6dhheQMDswvnRSbYD3doqAgupX/DGWb6TtiXSzryc+W91rMTex bCko2yx3YZV20jc5inpc+nPPuK53c2pWaihjL5YkTGFuq2BkKWhisV3hWUYW 7Qrfc2AMSyTM4exlW8e/sOZ9lUEnnp7PMYqExopjJzh5OgAXZ9CSAsYnjoDJ NWV9P4sgtGxy61+kkNXlzaN7HdaQTA+Dx+TEyQsViBXoJtBP/KXteJsJdkJf lF9BoaK/eymsnzv8c8MAsBXFms33uJdvKxsyRee1mFB6PdGV7X4h8LiacI/T uu+S3S2wUw2xOuh2SD2iY3ke1Ksno/WjZP8RAfvX4U+R7iqMuf1L24kS2o2P O1YRpccJoZzCiPXQka3fGF9CDaqTttKVjvt9mmv4xF3MyRg13laG/Zsotlgu TDQPpN4y4r1Jv9VbJ01p4I+JfJ/cJQ6Xi3gCeSU8j6QtCKAeZpZj5G48L95I 6iZZk8u1t7CnZGF5sAv0OQs+pHCfszBDivfZcmGhhmbVJrDexUsbZ1QT1wzI mE3HGnmGBQx+QtcM4PC8FEnWEN8QEMPbk78N/3Ly5vszYwN/wVfOL5wrlp8i RXrxUwugmBZ6PBOxmywi6vN8YbP5uyQgRlOpFvZOCf6evsEk9zWmYcZSJQZb 8zqaflI7pHarhfTjY63005g7UtOREr8S8WIWQYL3fRgL9ApPID5NzQVqj+xM BWgtXeIMsVrTIHyB26ur69M/nZ3+efjqUi8yBahaxB9R5PECVI3Dn6PxEP/x YITVZgUY0Zsomuth1fQNCMSRjw59vYRFGiIuAAJFGLSx+ihRCv9DCnvZ1TYT AwTbS5QoMxFJ5JavRi6SgTR6vbrEd3NqFeMVGSoNukSlQbc6lVjDer1YiVDo CRK/GERwDqGgfxSQCEugEE2xALH8MIkjzMPfrC3kXrLdzUDv2N/fzMnm0pAt HAjzT2irIb60fsFvzK9Wkbv8rRdN7CkBoxRuyWekMi0J3ZJ3g4tNyd3kxenw 1flfuMVkxbOUx+Qqo8yg9iOa/uvFhrqxaTSZ5OSt4GMdJNdpuC7Jv96N5PCw Q3SpMUiSH1SjeZaaVo7mWbra46A5khs6o2neDhBZhY8VaA6t2+m3NBJmE+RV +7E/FtRL08LYLaoOZclqkTk6V0y9E7PPUIT+I7dgZQpiGb4zw5eP87YUmiZM ljqdod3udNCoqU52E82/RgJqokFJSVWLEpcQKEGIQQOo/MQvwORF/35J3wh+ QKnd6jlbvDDC3PjKljfZe1SKKwmdQ7ziLWVScC99YU1htRSKefqrupjKcClN eTpsmnLLcqTybS6uu5p28tHdzZ057/6u7LsT/t6slzuZW4yrSKhYMfFiU9wt uCrT9JNCXwFGJzeLY57ZQQgtH1IGeJWaQ6mGEB8rCOd/2sbEMQVU3p8kbQGP ZX/SPqb9CR0rkdMNNLaGg7vIak0S5/dsPjbQBlvWKOw/jMFUPb/G8tG56HB5 1gPdXGbaQZ4RwWrFC+6piy37MT2LqQ9b0HHVZJyiNbrkY+ejQ2i5FoLPD2mw z/+YzG8X4hn/g0qOkClIUtTmVn9FQ2teu1ZTVsLWWDYXsL5Y1ULWYBWika4I 4Q0JTQid0XrMDr4eL0BMRpvVKppDaWzlP6buif2Ti4vL65Nr1SGndSldKiQO E78CClvlo0NAdGUN22niCvW7OQ1/gsZHo5h+MZnPoxVWIh2StPpo6M7WCAEG 5WkttOG6aYovqJOy3KChLzEvhNl7Sk3h55Wz+HuD9x1+Atut563UNZ6P+0EH l1c+ur4ertHnc/PwW5aL6afZYrW8n4wQwS1eL6DIeCigJqEYR8tIvnu+Foub /4VKj/q56PDusAk6MuYNq5ApeW0WzeJ/lnGaZ4HdISxQZ0iQsuo2D6ms2/QG youb4+9h0SBUW9zolRFSgjO52n1cGflYnBK/JCMqkjoVecii1WoW37GvfRmu KmWyejcU4bqZ4V2n6842wb/NC83ktpe69JR2gcGAbebTyU+R1Gj34bub4t3V 2avh68ur66uTi+Hrk/M3w5M3by5PFSF6QY9Kmwdb0b7ZIrGnBV2nxd6Hq3C0 ZiwDI+9jqjDlybAgMm3nWNTnka7TH01oHgWp6oE/8tUkJSIc9XH14aOrJ0Y+ MljiYP7s8K1SsT1Z+rni+HrKxT8q+aBFI0c+BuRC4mMJ0iimwWIVzOgx5NgV ERkDGFZQYmokdcUGM6mNTRakt19wq5Fcz1GFqU5SmRPUC2+JU6J6+ZoK6x10 j47C48PDm+54fDu+yQvrVU+nxfWq67SINvuwhFLROpT+ZSI3Qg4n/Q6M5vkZ cJGdn588xwtbxPwqeUFumb0XDBq7egmKBtUWc19lLt9OF+Faqt7munBKslJm WasD3wsDaKWS4hYJR0Xsw7eT6H2YvHgBirnYlzzy/QVAGp690hNPTv0Dmr+f gyRsjQNLJcbiWNdoAlBSra6wTNvtqGHTAaFaHDzyE7gPm6Et9HQLnmZzwDff fCPeY/z+/A+AxzwBi4W4CeNoLBZzS3G20YjEAoxH3yjDkE1HeC/e8lJ0v0pe 9A0WPGAGKtkM6+eddo9QWTvtvp0uDA2Q9o8JQ7R9BkGO1wSkRPYAObtuRmux decz+D8aUzQ0ayD2Ly7fqakQh1Il71AvoXKa4Qg5K9DMBC3JjSfkKqk5yGry /OLVueSq6+HV2WvMAndsgQ0nbRp5kGKoT/4sH2QrMphh4DJfgTnp5Prk2zdn HCZEHTAFxc1uN1cZKvBo5p7d8+2pqYgY7FbqU99dArjYFWG8/OtfouyDQ7kS XLuDZOo4lh+lzGezgxbLjBMMUQl2eP/++7dy3ZJr1p+14ldmrOwGeMAKrXT3 GWvRPa907eOjbtTtHR72xzfh0SAqttLd56x09zQx4Mwv/9/GyL3ooxzFudwV /7C/32ikrXC+u/yLTcbN4EeeynnR+9CT53Jq3V4ioBLIfQR+a/gS8ebyu/PT kzc4SQHsLK8SAia+QyHO58h44ZjTrNYLgamTs3A+Rga8+eQ0J3UlCKiC4k7T eCGWq+g2WonJGlsBxxt0eTKVv9kI9arYmzJaQ623GODnQ1g0Y3QSAIToYoXt TOJ4I/uAFuQtSZGsJftz+uWppNzwW3n1S7ilcSguwplUsV5gCwfici4+DvpN 2H6vwTW4iu4mMaAOyi+YTrnxwZdBXwDwtL4ajqD+nNJDwc7CZbDgSycfhaTz /E5yhnlL3DluwRCtcOhDXXYBXzCZzaLxBJF/ZVP/u5FqJVTRgJUCk+2es2qK WPwfFqufYrkgSj0RH+60D6Bv/9gAxul6AsYeKqglBngh3ozuRRirRpIDJfso l87nPt7yKViZ91n6VtZ9tvolF380EQOhiSWRBTcxAafdS92a3AM4vjHwpt6P GEY5xJnmnCsc3FB8K5TNlB+O56PFahXFywVW2gDuBpUMOHkyx3wW4NrDezZ7 QYcuX12+0N2K15MpAJiuxrBxGkOjIBgvu/A4cqUcaOwbvYt4O2fa8qvmWinv BkGv0xocHg5GwVGnkwfglq6OKxDgDhaQpoOzRUw4mtBKLLdwixVbjBfzkbIj 074kAR+okjbVWgH3Jz1vsGOB4m3b1dw8e7yniKQ3/BCu5pJaT000SnorHtVy uxW1GuGm7v31yfX5KabHgQNOYPUd1VvMATy/OL8+l3OidYvurMXpOY94hEP1 IyXrWgdzUhtfuRgjvR45AXpbW/266AhwoMMI0FRDp9op0fXA7rlGFnK6bBQX I+mKiHlPbs8RqgvgnPDbG1w0zH4QkP08sGpZgT9mxgjoXkhMS0UnDBawAxd2 Nb89e5vMtEBlSs45sIqWRUff80/VTbkAxTkIhSs3Cy+xA9tCJbCtGQRkCd9K T0kyrRh/JKG4KOhGYd0NnzKVgzaGN4EPYYh7H7H/9G00W0AJ16nejdyGcn4c P1VoDn3yQPdtB7TaAgw3MbSVTzvWW5tGWkDFB/YfVkKo3/OGvvA7kATegBbV CR0nZg3+Km30a7IjuTYk8+159sMjCoQ8suMg9fjzCeVOpw//DGEqleTwamA7 0XTWQ7LUH/u+lMjMNPqG+ZQKhZZ80jPT+J57KdIz00hbex7p0R59vZVyxvXq jAZVw/IeUSmNIx9bVx1Wdi5ZJeTImURTIi9jhdxP/ES5DNs8mLAaYYTA3rrR +dFezEq6pfHvt8AHreNuM2iD4Y9OFLnHY9ydwWDj7LjCpSgDHZ3gWdWubjEH X+0zOG0m8+AtwIItFCqnutIq/NRQ9VC/sYARvMA2dLt4QRaqx47/iGEphSqA 7GXU//jVmzGWpuvxZZ9ep/SF3xUmi9YaTDZ/W2XzPxAX6U5ia0OrUmTZtJHf 2LVJ/SXggWTUpo/89v12JZisQjDlUt5PLl45wIIiTW8bqTLtjZzKYvaNtiID BFNGRA83OZ/KqJZBO0B0Hj5avFSEjQglQpWdbOtcdu3OiBWUCpYRNXEz0eGH UC6YPL68HplnceYhpRKftpjwsU82VoJwhpdQlxRwXeycI3L65uT9+/1nDbTP oA0n/jQ7+Hr4s9QE5AFHQ4zCOdgwYGCZkp0uuhzUyc603PMT42dwB1g1M3Gv JecTvse5XA7zoojeUK6hDMyLrUKuxclVGvUiOQWkA1+0TaHp1NAc9z4EvqjP 14ys1OlidBkfmZFMkMAQTIpD0qsYCFHtaVgNZa2MooDR0d/ccqZkL33coF78 zFSRrZqo50rCjmdFApsNXYX28vZ/WXynvsWeJiBXBTLGeJ4HwyNMAU3xAQqu rgVYrL5/D1bRAEZ6sv5DDPbmOJrbWWVM5qOAyHwU1Epm5ERlQWpb8xs9QI7J l3ZcnUdd3yoaU9dMX8sM4nxQXijVJs4JCUnpxNtLOW38wB2xxs6bjZJS6dHx 5DJOSIukm451kX1P2FeL0lg/plnlEa8Y9N1FFgyX6J5dZ2mKE+Uo1pSPdVHu wWwFj5OEucaC38BU0G76rUJNhXPYYaDDjpfOsfy8cFWO3DaN9Cz9xRfoiBqu olteZwGrbRytojslwbBUn568HiqcvFdnHMtxNry8ePPD53U2f53tMTBTzwZm eghyVpmAfcv155X3YVbe3lGPGOGo91CM8HkZfvhluN8mMtLxQcj4eU1+bGty vz8g8wqf2E7jVZTreXR9NA2TS51VwFx3QbR55snBj5dvadjOsqQjnXsE/l8/ zNhsyTuvip7ptEI/FVtLZZuVBxTX77emikXAWDtnFahcwyrt5acaJr4m6QFt VSOMNkDVSZ9ko6lkstptqmEjziwRR5AfP2AGcf/piYkg+IAw79HHESB7zCjA YDqZTdYYVLAVeLWO4nW8mayjL3Ww1/juS/1tkdSTJ4vD2+MWB1AVvv/JPPog bifTCPLqdTipKsGJf4eHR0ftfis8xtCtL8fRz1/C2FnhWsXfBtNVqwkQkYSL 8uT578QvYnx3MF6I1WYufoUf3l2JQXvQP4bzEwyrNDAAEKIGegM3Lj6EgEmH 0XGEMAGRRLdy/xiN4XEGnDj/8lKO7g0GZ4YQvageV+GioYAhjyDHmUJGnzxf rhZ3q3AmNWfujBBYSEdKgaRuPBmJFy+k6i3XhOHNBMPyEBNdNrg/GkJVILgO C8JoSA6bNUZ96uC//Wk0f9nFuzC28cNqAjlOcu541pDPmODofQCrcX4wLTbg SbBaxuLLl+IP4rV4/YcG1hxh5RaN6uGNpMo+3gthUZPbJ8/hmPzCalyHuQWD srxnnirEgf1+uz04jnbjQOudNh920/gQf6CwqVg8PbjlmOIDTt84GDx9xPw6 HPz3c6z8RskPT9qHR4fdJ0/+P7KXbMrCAQIA --001a114dbd50aaa57a055d7765f0--