Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA1:256) (Exim 4.89) (envelope-from ) id 1gkEpb-0008AV-Nl for pgsql-hackers@arkaria.postgresql.org; Thu, 17 Jan 2019 21:04:08 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.89) (envelope-from ) id 1gkEpa-0006Zj-0U for pgsql-hackers@arkaria.postgresql.org; Thu, 17 Jan 2019 21:04:06 +0000 Received: from makus.postgresql.org ([2001:4800:3e1:1::229]) by malur.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA1:256) (Exim 4.89) (envelope-from ) id 1gkEpZ-0006Z0-3R for pgsql-hackers@lists.postgresql.org; Thu, 17 Jan 2019 21:04:05 +0000 Received: from mail-wm1-x331.google.com ([2a00:1450:4864:20::331]) by makus.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA1:256) (Exim 4.89) (envelope-from ) id 1gkEpQ-0000V2-9x for pgsql-hackers@postgresql.org; Thu, 17 Jan 2019 21:04:03 +0000 Received: by mail-wm1-x331.google.com with SMTP id m1so2540819wml.2 for ; Thu, 17 Jan 2019 13:03:56 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=2ndquadrant-com.20150623.gappssmtp.com; s=20150623; h=subject:to:cc:references:from:message-id:date:user-agent :mime-version:in-reply-to:content-language; bh=rMgafkq/T3GhW4TORqQ1oXmNUDsVCjh11kFeA971SVs=; b=IaRLOH3TlQzOwvqRBwL1Rtnz6U3zqcxgzog5gx26NJrHeB+SFumG/0FPkHrnQwvOxk I4FFhxTPu9L5N34sLD6uBAuW7DQ0niwibBcySTbnhAx5Dfc++3t/JMAdHAX3wdm7rGo6 kPqCsWn00PNdmxeqvo/0NGVI3r/0jYIvpNrmlzkxg2HsArCIFKtQ7K3SYiJFfquxHpZt MDd6tDdZmSNCCBc09m5hn0ToPuo1/m0jLgbgNxZ6Ys8dLiT5Sbh2hVHsND9Nvu6i4sQq dxoNNnMAQ+3+hWr/sRKDQLc/J/SPtDHMPuacSfSxUk4dkd/yyzFn9U055+D/r7WUAMXc IuUw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:subject:to:cc:references:from:message-id:date :user-agent:mime-version:in-reply-to:content-language; bh=rMgafkq/T3GhW4TORqQ1oXmNUDsVCjh11kFeA971SVs=; b=tFSEcLMa2KplphMri4LeZxiosqA91/8MzBSTtZf17ATckEuT5NBkMG3Cx5uU0192E6 N6DbsNovAl43CXL6nRsPlPZjM7tk9Cqbenskf9/KlVMMIl2J5hvVoyeglZ9UWYILSg+Q tiIfBlvmV0IitSvobsRMKTJ8kshOcckgbIN9WiGKWio/HFd/nzVe4IwDWgpT1+4G4u53 aaCzwRsBSqQtoB9By41qb91JFnOzqvv59Hf53PCubSCFOz4tEgvWLKGNarq+sGqxcj5+ Rna/zOwf0ND1c7wx1HKdoDJu4CJATW8IJ8cwo1HV3AZnxmOGyB5CZoiJT+tiF9+5OwqS F2PA== X-Gm-Message-State: AJcUukeZE2Ux2GxbjPKOc/Wi9NX1WXs1Feek0jM9438KdPVHR6HzMzoc ZD3JwuHAEjoC31LyAoLYcfwrgE07rAe/i8DQoDXWftnTVUwmq+U/KxXtuHcKTPLBW9sTVTL3HqC s/NEobuAQ2gIMQIcK5yriYdyJnNQUpqQlYbGcF+pxviCyt1veBUResPuldHNfLejfkEPMqrSzwf Ivu64nsNAic2o= X-Google-Smtp-Source: ALg8bN5FUrm/yVJozOW5NH3llJmVPeKEM8gf87l/tBWyA3VI918T/auohw1fT2+hLfZVIDYGRlfGpA== X-Received: by 2002:a1c:7011:: with SMTP id l17mr12835978wmc.34.1547759032782; Thu, 17 Jan 2019 13:03:52 -0800 (PST) Received: from [10.137.2.21] (static-84-42-175-93.net.upcbroadband.cz. [84.42.175.93]) by smtp.gmail.com with ESMTPSA id 207sm27798501wmb.12.2019.01.17.13.03.49 (version=TLS1_2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Thu, 17 Jan 2019 13:03:50 -0800 (PST) Subject: Re: [HACKERS] PATCH: multivariate histograms and MCV lists To: David Rowley Cc: Dean Rasheed , Thomas Munro , Bruce Momjian , Alvaro Herrera , Andres Freund , Mark Dilger , Pg Hackers References: <49348328-1a02-7e45-e50f-e1d4d0243c5c@2ndquadrant.com> <80bc98b2-1c43-1fe8-b316-d447bb68cff2@2ndquadrant.com> <341ca23f-144d-130d-1b45-ddddf581797e@2ndquadrant.com> <8ac8bd94-478d-215d-e6bd-339f1f20a74c@2ndquadrant.com> <11b0d685-152d-8320-5f49-a7c6ac3ee90a@2ndquadrant.com> <19b77ce3-83ec-c04b-ff7a-02475f044f4d@2ndquadrant.com> <78cc09c8-a9aa-9d7b-06f5-c2f9eba08059@2ndquadrant.com> From: Tomas Vondra Message-ID: <3edd6dcb-96c2-e45d-f853-8313c7e5b5ac@2ndquadrant.com> Date: Thu, 17 Jan 2019 22:03:47 +0100 User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Thunderbird/60.4.0 MIME-Version: 1.0 In-Reply-To: Content-Type: multipart/mixed; boundary="------------193EE1185FB488F8B80DD9DE" Content-Language: en-US List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Precedence: bulk This is a multi-part message in MIME format. --------------193EE1185FB488F8B80DD9DE Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit Hi, thanks for the review. The attached patches address most of the issues mentioned in the past several messages, both in the MCV and histogram parts. A couple of items remains: > 15. I see you broke out the remainder of the code from > clauselist_selectivity() into clauselist_selectivity_simple(). The > comment looks like just a copy and paste from the original. That > seems like quite a bit of duplication. Is it better to maybe trim down > the original one? I don't follow - where do you see the code duplication? Essentially, we have clauselist_selectivity and clauselist_selectivity_simple, but the first one calls the second one. The "simple" version is needed because in some cases we need to perform estimation without multivariate stats (e.g. to prevent infinite loop due to recursion). > 18. In dependencies_clauselist_selectivity() there seem to be a new > bug introduced. We do: > > /* mark this one as done, so we don't touch it again. */ > *estimatedclauses = bms_add_member(*estimatedclauses, listidx); > > but the bms_is_member() check that skipped these has been removed. > > It might be easier to document if we just always do: > > if (bms_is_member(listidx, *estimatedclauses)) > continue; > > at the start of both loops. list_attnums can just be left unset for > the originally already estimatedclauses. This was already discussed - I don't think there's any bug, but I'll look into refactoring the code somehow to make it clear. > 21. Comment does not really explain what the function does or what the > arguments mean: > > /* > * statext_is_compatible_clause_internal > * Does the heavy lifting of actually inspecting the clauses for > * statext_is_compatible_clause. > */ Isn't it explained in the statext_is_compatible_clause comment? > 25. Does statext_is_compatible_clause_internal)_ need to skip over > RelabelTypes? I don't think it should, because while RelabelType nodes represent casts to binary-compatible types, there's no guarantee the semantics actually is compatible. So for example if you do this: create table t (a int, b int); insert into t select mod(i,100), mod(i,100) from generate_series(1,1000000) s(i); create statistics s (mcv) on a, b from t; analyze t; explain analyze select * from t where a = 1::oid and b = 1::oid; then there will be a RelabelType nodes casting each column from int4 to oid. So the estimation will be made following oid semantics. But the MCV list contains int4 values, and is built using int4-specific operators. I admit this int4/oid example is fairly trivial, but it's not clear to me we can assume all RelabelType will behave like that. The types may be binary-coerible, but may use vastly different operators - think about citext vs. text, for example. > 35. The evaluation order of this macro is wrong. > > #define ITEM_SIZE(ndims) \ > (ndims * (sizeof(uint16) + sizeof(bool)) + 2 * sizeof(double)) > Nope, as mentioned by Dean, it's actually correct. > 36. Could do with some comments in get_mincount_for_mcv_list(). What's > magic about 0.04? That was copied from another patch, but I've removed the comment explaining the details - I've now added it back, which I think should be more than enough. > 40. The comment in the above item seems to indicate the condition for > when all items can fit in the number of groups, but the if condition > does not seem to allow for an exact match? > > if (ngroups > nitems) > > if you want to check if the number of items can fit in the number of > groups should it be: if (ngroups >= nitems) or if (nitems <= ngroups) > ? Perhaps I've misunderstood. The comment is a little confusing as I'm > not sure where the "Otherwise" code is located. No, the whole point of that block is to decide how many groups to keep if there are more groups than we have space for (based on stats target). So if (ngroups == nitems) or (ngrouos < nitems) then we can keep all of them. > 41. I don't think palloc0() is required here. palloc() should be fine > since you're initialising each element in the loop. > > ... > > I think I agree with the comment above that chunk about reducing the > number of pallocs, even if it's just allocating the initial array as > MCVItems instead of pointers to MCVItems I've left this as it is for now. The number of extra pallocs() is fairly low anyway, so I don't think it's worth the extra complexity. > 47. Wondering about the logic behind the variation between elog() and > ereport() in statext_mcv_deserialize(). They all looks like "can't > happen" type errors. That's mostly random, I'll review and fix that. All "can't happen" cases should use elog(). > 3. I've not really got into understanding how the new statistics types > are applied yet, but I found this: > > * If asked to build both MCV and histogram, first build the MCV part > * and then histogram on the remaining rows. > > I guess that means we'll get different estimates with: > > create statistic a_stats (mcv,histogram) on a,b from t; > > vs > > create statistic a_stats1 (mcv) on a,b from t; > create statistic a_stats2 (histogram) on a,b from t; > > Is that going to be surprising to people? Well, I don't have a good answer to this, except for mentioning this in the SGML docs. > 5. serialize_histogram() and statext_histogram_deserialize(), should > these follow the same function naming format? Perhaps, although serialize_histogram() is static and so it's kinda internal API. > 8. Looking at statext_clauselist_selectivity() I see it calls > choose_best_statistics() passing requiredkinds as STATS_EXT_INFO_MCV | > STATS_EXT_INFO_HISTOGRAM, do you think the function now needs to > attempt to find the best match plus the one with the most statistics > kinds? > > It might only matter if someone had: > > create statistic a_stats1 (mcv) on a,b from t; > create statistic a_stats2 (histogram) on a,b from t; > create statistic a_stats3 (mcv,histogram) on a,b from t; > > Is it fine to just return a_stats1 and ignore the fact that a_stats3 > is probably better? Or too corner case to care? I don't know. My assumption is people will not create such overlapping statics. > 9. examine_equality_clause() assumes it'll get a Var. I see we should > only allow clauses that pass statext_is_compatible_clause_internal(), > so maybe it's worth an Assert(IsA(var, Var)) along with a comment to > mention anything else could not have been allowed. Maybe. > 10. Does examine_equality_clause need 'root' as an argument? Probably not. I guess it's a residue some older version. regards -- Tomas Vondra http://www.2ndQuadrant.com PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services --------------193EE1185FB488F8B80DD9DE Content-Type: application/gzip; name="0001-multivariate-MCV-lists-20190117.patch.gz" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="0001-multivariate-MCV-lists-20190117.patch.gz" H4sICKjhQFwAAzAwMDEtbXVsdGl2YXJpYXRlLU1DVi1saXN0cy0yMDE5MDExNy5wYXRjaADU XHtz2zYS/9v6FJjM9SLF1IPU23Yydf1oPeM4OdtN2+t0PBAJyWz4UPmw47b57re7AEhQEmX7 mt7M+a62SBEL7Pu3CzCnSRwyd9i3B9PJzB5OB9N+z5mN5rNhfyDcfp+PJ/1hfzgcjsfumL2N I3Yllswes15vj/7PnF7PbpwCmT12HYc8ZR/iyEs4O8jw6msn8n7LOdyIso4bh28axzwTe+wH 4VnMGbFj4QIFewK/9obTveGQ7fbsXq9xlc9+FW62x35+f3h99B2zu84vLMyDzL/jiQ8k2Nuj Dyzw0yxtNNrtdoN5sdtNE/hvEQZdl2c8iBdpB6/Yhp8/4T+7z3ZXB87zyK0dpAdOHLa7Mm4p knmchPVDcdxotD4u4FGa8ax2pTDOtkfrC03EvOsmAiRxg+NBEL5bIYIT9iWHOGjG3Y8i8rqg g5BHXtrlEQ8efhcdd9NK2aR+IC3XDb10dSgOnNprA+Nl5of+7yLpLnl223UDnqciFUE5nGQ6 3TIwz3wpKtCrOStpkZRhjlvyJKXZ4M8NDoXFVtdKLK6NK+XYfcs/irkfiE2icdYWagy8PDk8 fnuyUftssGVCOa4Tundr2h+AEusHemIJd0Tk+sJUCIl0XfvGQPEpw4HejTQ/txw4nMBK8ad+ MKxz3XBwsD3uDeVg86eezp2HnyK3olZavTNhK/OjKsFuvayb5IGgq5VF0LjBGtflQDA79PBN pmuPhqWc/ai7TH8LQLqpm/izDV5iKtYwXT0w47M2eMwyENnmwSumBCIIck/owNVdLm5cnmYd j2ebBo60KW0Yt0xit2acM9gyrlDLDZhG53Z1obXjsoelqFvneG2cjiJ33M3zsJzmEf7KWODG abZhmDGu0+nUG/qNH2UigdinaeA4dLHqfMZ4I7zersw3mK6Ok6ZWmFndOh29zkQsEpHiIpeQ 7oSnYzrYTyBuAv+j6MR5tsFgMpFm66PjZXKT8sjPHvQwNbD/yEApG1R8MQ4H9vs2KwPB5qGo /9VJt82J7lFOB1cr0rEnY3LE/pBhCE6Ze8ujBeKF/qQ3YH4EwT3z4yht7rYsCP8T5glwM7rT bjWYlCALY08wgBKjweDxoPucURT7Gg3Pn89Zu73wM8a7W8DHbMuXDR8M8xPj84HXGzlDwTsd e+7wwdAdDBy1DEQ3W2dogIK2z/L116w9GtpDCwRLfycMbl0dXR6+bV99d9h2hqN/HCQCEqwr 0O7e/DPI9n1wE45SZW6cR9k/F9n+Qdd8aG9lSKNQ4mHEeJLwBxgZZdyP/GgBHyGWMsBILLsV TEQ4yGOFWNlHEEW6X9K444Hv4e8chvFE7JVfHQS0tuCNd9DVH4ly1NbZpCScWo322sD5ykB0 VmSVB6zIpw8GjcbuXyZhMQh7G+iEK3RCCG8MoyQIXnHfBKjbIqxrLkkT6oooSx7eNPRlEt/D hdJ5f2KNUOf9qQUg8m9Uet0yJMMHdKWYP5BPHqRZkrvZ3BeB9ybNPoFbHXTNewXJlXEYb95A 3oEBNyiUA4pAtY9vvl1oAsuIJgq9XRH6mrwtBmHHB6P8HcyWlxah2Ih4uLIo4z6jFFmsoLoi JardhrrKZrGn5AgXiyTOl3R10KWc8GZL4CmLl1nNFyrgYJUnXHs8H3U6s0nPHc75dDLaEnBK AhuCTfklGp1jO6OxBUBDfpiQ2R1BqL0+YScfTi6u2fXl2bffnlwyzAoq0SXiPgHbu4l9T/Ka Qm5x3pSfbWVMB3TBfO/1C+1xabvU0gsp1YPMz0BUV8V9dhZheSZN+1QPBJHScyB8GkXCAQ8I 2e9xJLbOwA6WiR9yUKN+6KCr76gHYKVQCeONcjQxo+7KObvFpMUyoHDhish1jPkOE61hihBg 5n4EZpinGFkPFKZ6o4R8dX14fXZ1fXZ0daDhlqKmrixcfOxp63wPxg+Z+epf58hCeZ/BxZ2P UZvqboCyRZBLO2rxaqmFZpxazbTBM6raOZOMIQtFLV+rkcJbtJANX7sBywnTVfmbCqg65rM0 cKCZ2TRj8R1LRJYnEWQqGTfiOeNBwOgxSSfN4gRU5kNqlPKEeBPkYVRmAhCCkQuQDOWMgjTk TUlqHgdBfC+TKpJI99S6UV5k5oEKFUoQMorg0+nrF/0XZSwEktwrY2ElTBeh8gKMYTWKFl9e Q2Sr/fKYqqel9I6VZ3TY01d6KeXaZBzcvrZCeKTDUny1S5LZA2qAmqxRPCgDJegR4QrqEVWH n7fo6xEmH+NBZp4nM5GB0f78y2N8KAxRmh/ygP6GPP3FBUd5EDx9vbM4DgSPHl/yPOCLFAIJ XPnzBwpxeoqL78/PDaFrif0lLuaJ+C1HtPZkTrw4B/eC+ChcPyXjfoQhPYO0Jz+tM6IvoJMZ T8XN388STsO+JF8F8NGoSEMfGdi6GyJbJf1U0yb66dMCt/7EXB6xmYCcCm6CdTcxRJEVs+Ui 4WFAxcUC5rg6OT85umZh5xU7vXz3lq12T6xSXvpnbRFNiXlbLGQ/fHdyeQIu+gnzLnvNXqZZ lr7ch5m7a1Mryh+kW6v4VIeJNVPxDMswYCyOggdQWxyW2aTU2VoPSKPyQo8y36wkfwOu7ZZX NkFaQCC3fAmjt8HWSu98Vv+dAq/jSd8b9ya9cb/TGfT6Xn/kjgfjLeC1QmMDfq18jxDWdiZD rJvo79hBAAt5+E/2xwvbYs6LPWyLjCcWw8uhcenIS2c86A/lt47xwGdVG1HLv8PYO1BBcu+n wpI61Fjt8OLw/Kd/n5TgjbkPbiCrYPZrDujinqeZ8Dq6YpB6kJ9R9P3CJfQVfSeR1duNeygr uKviTFDOx7hUqmLQ4gwkqtIKFq6Cu7fKQGilazWVokbzddBHIV5wRDIpuxPJA+Oumye4KigL AMhlql0ASvcBhuZQWCu4Y7FZnilqIX8AgJQCU5jbUn8R+XMfrD5jIUi2QghCVeLD53s/w4UC WcKo4BOaloa5ap6Ojj1mmKmKBvF5iDhZsDQH/osZra365FhfBwHCelCBKRhGpXc48yOuVjcv lsPYlR/6AU/Ah7N4Y8cB+FPUEDka/RA3FnMQjA8xGNbmZy9TWjgHCi4QAHJeLEM46RIVoggt 4zT1Z4VUGIVliEWwnJM7EYGeQdlpLKEFjHc5WjRPC6CBfClazTyi0Fqz9G2LbsECNY5R1HAC ZWBqbRIPoKCAH55xhuuRgi6CH3WgYshexIgWVylmxpdLAf4BsCOLF4Isn1C7YfYxbU4WdRhZ 1IaAWg2eMQHhJxjVUQzAJ8ppBbeUk+/8OE+Z+MRxQ8GqSJYY4ozSInLx77P3stemjdpf3GYs iOOPOqsJo4AoFAJEUh+pSzdPq36u8xkv0yVIFrO/r91flan4FQzF1WHzjzRXk0TXylWGaa/P mpQV313Q/MCt62cPMs3+7i+JtX0kqNyqevN/kZj7L2kqJrPRnwUhhbT1z5+M4DH8LWHSn6wK z1hjty1/9N+1n00PrD2suOphjvqBp7cg4CyOLHZ89LlYzR9za/4Zl9vr9Hr9wWhcLt3pjEW7 N1RUbHz4cBlb7PDkM6v8rFLpmVTsztSg4uDD34HZ0kKuf/xcS8WxDSp4o2f3+4pKHx8+Cdh7 nsb1VNQ4Z4WKrakM8OELcc9+ipOPFrv46fMmKjjInq6txR4oKkOSSwbZO+MW+/awniN71O+X cul3+oZcRvjwFXfBFcA5gKmjwxod2QOTyrgzMajgIv946/PQt9jpeUVLFblIOoaRspFBZYIP H0MO5umKcNfW0jc1PamsZYoPH91CHlkAO2fnW+TSNzkaduyCSqcDcbE5nTIoCdLWRuBLYwg0 ICJwKa1ntzyjiGZ2zY30SWEdwwcmFgonELcUqdJPMLwfH1kyjENGRKhRumhT1cwpBd8W4zPc 5Op1+sOvOsWqBNtUEInKWpock1G4zDEXaQyuoq7OtSLRbSFNysdetJ/K5EVWPv7KUpAHIziu 7j5mceKJBKN2gYsACWW5BwUNhKmkXQCTJ+SfM0QH3LvzU0oqgA3U5lhNdbeWGOVqdWatBTRS fYgVpdCBQaq+/MiEZzoJFzkokgnnHizu1kB5St0o0ygPZ5DI4ErmeJmsDInNuN6KeT4Yx/lx lNzVImSuV7aKz6uSZhV8zpjZ5Taa3FvqpOpZodUqpvKtqpXEfDTocw8qo06nN+Q9weeD8bZG /wqVTdVS9QmslwZD2lqUf+AGOjFkyyY4ikhuXJ54oP0A/fAVSD+q3mvBzVQgRAOYnz3IOqbs 0Zpnviq9W7bSumW4z3egC9GN/WgetE24+UIVTbL0OS0x6bHxUFEZsYbhKMj1cNBDruUfuHHy 4/vzw7ML1lQ2AyH17O3Zxbfs3elpiylkonBJpqAFBzHZ7PDimM3w037DtJiKidRzZ0qoHWnw 3KYNvBUeK8XfRftYA+0jenYLq7Iexj+2PXkys0fvvr+4br5qaZ6/vXz3/Xv2zU8M8udshdcK t6sbCgDH2lQeVXcQarcNjGh2iLgZbJaAOrj+wadEzGFUhNv69abRfWMZVYokVS1VwNmpbHVv BV9SVCiKlQ2VMtWsGFr8RBILYUWwjNDPuMbT9C1bBPEMbBDCZQ5TNCnuZ1CofcR4U12CKqtk oqGsEUDlFlgMCnY2E9m9ENF6/ax3ODfs4aw00WBNqcL0fpTR1pDeDdJGRH8j2vA4AFATRw+h zA76QtKq3WHFfXEQU8KxTIGwfg+BgdGJndQI6GVe1Jspxl6YPKG1SbkQh9pldmir+gmV2yHu 1ohxz8MjKkIWr4Z2Zg9Uecr0UchTMiJV6ytlgMxIdZTOqDbGgzLAzR2kllkMCAMzNkQsyoSz 3A88XegZC/EVo/V5yKIF8YWoJiRgVjym2HOBCZ5KQgWfsDWi+oJP9g9Jiy/AjrVxow3D/ApI 1RiErFolosCavCycUyyyUpGZEKE5w85KQijES+KlrF83tw8gdcfauT7qYWg9KBzAA7lWbCTu QTl6CaXY0SU2VarHl+/er9ap+3UFrFMWsBjmVOzbLwtW/PxFcsVaKbvh51/fn1z+xGCyi0Zt iflf/sD8V+I3doXdLFQjeDmezXuNILXTsadD+EtQ4DXADbAJL7t9PWkBDJYIu/gGDHEJn1rE z6kfgHPssWaT2G0Rv01iuCWfuERwcSnC+A50B36pR0ynvd6WjjlidA2C0UkBjBcNR54WLZx6 28IIpkEtANfoI0JTGiJ7LzOB/jfnPrbn0hC3f9Ezb/kd3ucK6DPMzxCvcpxDElPeEsT3BnAt emC6pfWNmGMwQa8letJxJR6S/qsAssTFAEEpC8BCvUAKqq7pBpEBjD+XfcV7EQSKUEBhQh8/ IFS8xaE5m/nZY5HH2PJ/jB6oqOg80jkHFRCftqsDUaQt981JKep+jXv/L5pGDjaNypaR7hX9 102iZ7eFehbrYWVebZtgRWkb7QHZ8jAbQbbF7GeNo1Ie7w2oMTCYWvDp8zPmHdJ6h7DgYe8Z 44p5p9QcmY4t+PSceafUDplOYNzkWeOIzynwOX0yn01bxcbNvQ5J+AfyZHDwuY9wAStUQbgT BxtNcqO4Vr0K7AjozRKVpyFKYEiSgCqUVTd1MsDKCKtgHxj+NO2vDFssNnbiSCjAuKnbIcGr caPa5zDaGms9ZYhT/lzxdo+/orh6PsY4fs2+4556dIbQlkcP5D+SkvIpEIHwqWtf9GDUrhEB lPs4DzzcE1XnC/ziVIQKMOYRRHXAwby1eQ90LdL9cAvr09hT47uyyrUqwIQvlwEBelCQXLHu fkhiiL8xyBRHUOrjpjwylOHsaR5W1VJsDinBwNJcbIGhckG4V8LcNMfwJl/VoSBnrN2Iswry AvDGk9p0amzboWkYqR8jy/JExvEljkdkeQTGxHGfoX7Ty9omkxSTMDmFRoe/4p6Jd4ed3AWy fuonmNwtBfvp4Cdk21R3AzXQB1xJJUBW5CaFBwCcChcsSmXfik+iq6E/wCUMqMlBXwAQ9p6C CP8mPPgMLFiDBJ+OA3uPAEGIjluR4BVhJtT2IzaDyAmEDOsFH03wHQSqTMgp5C6ZimEItKjx R7EU+1zqJTe2bbdTehxFWFmYlkFI35CTSnSH+4AphCxgVgBU84HVL2lKePr7NeZsaU948huu nmBS/48WpZktzEqx+9csq3octuxlVdq7lSPMKgHQMdm0DffzBKznxbbDMlve+5w99UnVHB72 p/PhzBPesNOZT0ZiOHCc/raDNFsobmgUb3kae4qTPnZP4ffEOCBu1NI/s7NTdvHump38CHeu 2C/MfPUAPSxNQYIcN9JAOy+MU9Y3EdfvJRzlSQJOgyVZvlzGCboPvWqCYbl4eaE40KhRVbm7 YamQLt9YSWveMaGXO1apeZU2ch1Bo8uoXlTZ+P5I8fpA/dsldQcPKvNpMusNOXUyR7Nxpo70 qXiHW1Chn2X4HhbilFKcRttqTbLqtbji4OnaVlEx3Sm9+wKp0i9P6uM7F2K1I1X1Gf1yHzak 6OjWaEAnt0ZDqz8yG9W6+7IS/2wVANfSTK8lG9TGThQmcoAheeRhxxMFTkdSMPrTJlvRXkBO IQTJd2g6DWa2uXcr2OZIbqzJDoL5KknmVN8gkf0JgPV4WA3khv2rGEw7oBaWgrhEsmm8dCUx Lh7wwdMwLWklvDw7Qt03PAtjHiSvPalxffjN+QnLHNZU0J0UrMvjmbxq7LboeMTZxdXJ5TU7 u7h+h0N0jR17Td+CCNOyjM8bkgxpZyEifB0J4ged3GraFkVgGMHSpi/n2dCEMzpwTWzB6f0H p3JuRF1ClJOvmlW2auegOTJafPWqTKk1RuTUGZHd0nP40YZZ0HK+0ExOa8tx0WvzvNDCv1Nt UF1+kNtJLE6eWr4pIytEDUuwd4On63S8oO1bGULAHOWxqaICRYumY2DYUaJuW8QgZAi5/TEj ruNopS7yhdofru4Xm/N5MTmcnI1orcyojzZB6gRYrk0It0MgHBpnC3EbGNvxeF5NRtcyf9Ph ZDE3k3Z5WcnNj/zTCrNHHlCZeDoV/bnDR2On0/H4zHHm/dnEq2biRwjJBPzIQxQhx8Oehf9o An2gGElRGdQaSwPFyv0mhajBE/nOdPMDdw+zLMH3qdL39DhAX7aDP0ydHM/ijAfU0YC4qQhC ONhxZfGm6KUYncAIaapX4Jzm5czS95NFDRXw6+0kYFy7HMcU60Wzrok3X1FtS1ueVqNNTODt KA/xOX1L8QXEdMJf/wb7A/OEuyYZeU4EJbHyfEVC+L/uK/nC3GToIBRyJoOR3El+Ordgma90 17g4TWGcgtV7UCrRY9+anEV5FHqSch9qHhA5zBESMnC5gZLI1rMnRIiHHSHr3xq7YaXzvUyL KINJ71XXVEVjF389QSFsXSGsViGP+6L5r5XU+IfxiPLHyYhPR9ztDb1OR0wBcToDPuo9wR9N Uls80nwMTWDsWLbNdvEPnTaXsKB8fbFZ3kivshAklsJv0P7OO98D2QAO8L19vCRQdSi3MbGz j2fM6J6SYviA/zYBOMnOMc/ycGeH6tifnV/2d3a6r7ATVPb8iv772nY26na3SqH/fApsB117 ZyciCrj8Q3xrHF8pY8jhJ4STeBvfHNrZob3SmwKir35hom3IhZXvwIrKx6kbhgd06F+ugNw5 50Eq9ovl+PjxHGY5wswFK3Hh77501bGN6NIZO9JRn64nye8KC+bc60yU3+6WbJhD0CtByk1c H24Hh1mbiiDiK8VZ/0Clu7c82UE+FLsAKz/woNmkV0jYqxYL5tj+IjKt1r6OScToZIyG+SxO N+kDZgUsS4veIP/iq8/A6Y4IsNqYsyas0w2XTXzIYngE5EWLvf5Pe2/+10Z27Yv+DH9FNXnd lNAAYrDBUw4N2M2NDQ7Qnc7t46dPSSpBGUmlo5Jsk6Tf3/7WuIcahLDdSefe9L0nRlW79rzX XuN3IWOOpf6O/+NNC9dSr26gjg0E3AB1BAgbijDhycXF+YXeZ2E8naI/MT49Oj8+6Vz+9ezq 8OcOFao1eHYOHuHs7GztPHQb0IIUd4GZgQVTVy8bboBDgv+Fg0cXAwoMrEKGRRcQBjh2RbgF dvKGTYnj2dkioWmnvS3C+PKLzYefT3C9/g46dgQtv4pnRBxCZMsvOyc/X3XOjpE9Pzu6qtFJ g/UtjvVhNR6fvD05Oz45Ozo9uUTu16kU2X+csKXrQuabCFCG4CIhfxG8CLaC774L5Nez58Ew Hl+DwDQI+YTRJ0KnoG6zAh2aeC7UkM8bwdEPhxfnp8eNoN2g1WsE67114gVoDbYJqmFnZ/+h ewrWfpy6kjXOwSy4i2dMdMiI8csh3qZ5y2YHrZRmHzaD9jtnZ93znbdJvU/r932KO9hvjIfB 0C7IuQMlTgt2WB7OzWw+gQ/R66qDkkoHfg/jEEvCNdh8Me13otmsYXT21Bcha7vbO43tnaC+ u7Pb2Ce6xlo+O83f3532Q7hUmcmFP5TFgqsA+JNkKA4k0BsR0Vogcp+lJPWLUZ6oDoPWBDdR Nl6fGQdXquwGhRd0R4MlamDoDN6ZHB1ClQAftQGc2YbKR6wdSMjfYBoLg041JSPgyNAPa3jX Qil6A/+PVCkk2tilJafZclceYeeppZS0W7dUCxBHVjgb/zTkjfi7mZqQsnQ+7RnvMwq5kd2O LeJCZlTZBJVIiXgTR1k2HznzlQ5dyiSs6ccElUwz/N9uHFynKXn9UmXiwqOtapwJLsR5l0Jl ULnPVsXg8PXVyUVwdP76xzdnwdVf357gkgRR8OPl6dkrqi7+hAPNdPaDbN5F1n6WkFk0QtVv JnLqCB/3glEckXrFMzBSXbrpSHNG45womgoMcgASNvTye5KpsaUYjXpkI4hQnYPCOIqjMkqS dmPaP2hdSAZ3wd9g67juYhk7S7PfOwmy/jYwHpK6sZDjpz7bKC3U/+RD+qhMH4kkr5+CZsE+ C06dQC+Q7tmxhaLw4lleyUfzgWuOgdsiFJDwshr8OOl7BA66i5zfEZ0b7wg2AvxFui6YS3pA st1sBgRG720QEKgYbKYjWo8r4hvwEewV+wjOM/IOPwD5uELCAfR7PmkQ37AC38IPUtkgOTpO cXjjmC2PPL5ofDdDm+kfmQVWjhJesajsMG3w+kL6jAw6PxGemffJL2cwhqxAIt9Z9pUJ6b3F RDG+qCSU5eFBDy/jaNq7ubzLjoB9jNt0D8ItSJcTSxCnfXNJGkJo7thvuKIac2vptTBQwVoP qyMXJWhmwOokiiwrRM59O19rWBKL3cMLAKQS2GtGZd/A6e+nLv00q9FPzVIEKKG2AkP2uJbP pX05useVfTbx8wgf1/UF1E8pH1f0Fcgf1fO16B9V9pUIINX12RQQv+YqXs7Ji9qENKq5QD6l aRbHF4lmDOZ0z35Mp7cwVRhV04J9DlX9Jaa4XTjcKfCB5FCAan64j6d98mKh9Ta+LBG7srgY YrSTyCCiAyAKa+bMRGKq+ddQ75ZIkHz+KJAJOKkk6yDn2SF+L+RD2Qh8ppYOqU+fhEkjGsed Oh3gScPR2YG5XtEyuAYbueHojZJxMkKHcgT0mE+4FtIbxetTOrMxz5p2+RunC9glEt+AOsaw YkqHZAREZlbYeQ///NXr6vmfGkWinKUjt8MtDP9l70USBwzDQJxigytikqkLEQ0GHCPsDJs3 DRle+PbSAY1g08YgJCBtbgRbjaCc6mJcS/K3GKQFJNJMPuVTpdef97XulyW+JRJeYyuEvSWW Z8wfzspzQ0Pl0FOgmaG55E8+zfRKPIVb/CL9ePIJzgM6x79Oe7c1c/VKVw2BpJXj2c8c/n+U 9oEmiAQgB4CvcuQHtCm8yjBKAKZ9WHPeyzzaB7yi9rdOWM3c5lX79YjxFomjYMYGG2sE32Fv my/If2qANx6Xhy9YfpnGsYov/pveENgyrqNkloJfRX9cqf9cALrcXbKg6EJ3Hu8cdA/224+j VuvxweP97W476rardaELKixqRBcUJlvF1l7jIKjjP2SoKHdIC9+yIQsx3oKNaZqSsvPSFgiy NprLWlso1sIqnk9mUhbZsmDl+2Q2iiZISYINNRD11YXnOZ1+1JheIGf6Z3TGOWKb+Mb0f8ik Zou4asMhPmCVItnj+p9U0CVqzgZ2uCrWKbKfTLooCHK7QmuvgdOBS4leAgPB4CRs4d5uN7b3 HjopfDIHeGugTzUh7w1RjBZfvyykkuq/ZHQ1+N133wUsYM9iVng8Dy6uTjoXJ68Pr07Pz8x7 pBE0Ld/AvJy+ZrVXfYVJOA78RO3kTndR1kV3Tp11conssWP9ndzWGgUl1Xi+eQHpMBvs+Ygf V/u7a8jJCl8DIwUo5ZZbbC6dwklP2Xmc+K7E9ZPnaFv2esUgrJUVkUrV1gIn+pN0Gm9V6rj/ Uo33ZOKUUC2nIiDrFCSgzCTCnHTJMTRDbzS4qKg21PtH7FSIn0oFL0tYCOoHmn6Rv4E/acd5 C4DjNC602hXHjxhtQsNq6A7204JpF9RAqaFoTU4/oFcKcrdT0qYpF2n9WvzRrOdP5DqFb2C4 ARxa/Hqrie7IfR7nJM0SYziWL6QmCi4mpvJjdEeKF/7BrE9yPRbBdxSgV8WU7fPAZGgH7PqM YGaSHnlErwhTsAI0ZuN5oLxZxaH0ThfqqKYXaLqxdw7dO+/TZMxq7+w9TiDGew9zZb7LT4tI UUxesJ9vGdbIW2QbDZflTxw7InjnTipy17liYHBqStbpI8svTLZ2dhrtx0C3dg8EUukhdEtm d4meVE9xsOLOX9Uk50qVTXMT7bokreLsXHle5eJX0WNFF9EhnGQLoOSJIVKFq32pWCw8nUVa xd9vOmYAvloOqeExAaaVVRlXVQhSzjqvGdXTAylmMCd4oOw2mXj7ReKMSNYZArns29r7eNQ/ xC0WxJRtZpYe7+KNirXvcIzUkqekuIK592UnhKSJTVaQLexEgB6oGyvsfT4Xpy7vwhogHcWy SS+B+7l5eHasRAgjOxntUCpxZGz/njG0GfZODLIySu5j9SJHBRtwLVLHCBmCbix4oHEfakB2 I4A+IZRIppeERD9cxBho1iNOJ5MqUEMScUhqrjsBMnKMDTQd8d0GRQbxFO8aYBV6sVSBnCaD dqG2R7QADK5AXjQ8tejZzDV7Z7NmtBg5FULUZyc72K7Go9Op7nyOHc+SHh6paYqmZVaHzyKB NBLgWqOaybsUsQ/TBio37AL8kH5EpKuGKkfp/poSYJKoT2xxjiFwtECs156m3aibDKkd0fuM kXkgL3Co4Y4UAekAzjs5szoVEExVg6qBK+gj+hTCiDDedQScRowIFxwUg/vDzsVfYtZBoObh egy8c7Bm3cQxNLfBUGQgta99Cl4EO7vkJfYpeBbsbq9Bo0d6KSIPNY1tRaTGMCZ7x/ecuBbg TXGT8cTcyZe8xTiUcSNIJ5Y4oFYZhL9pNEunMnnsAgT7BJhJAq1S90UDKhVlJkR+w629jIal UxgLTMYkSqYBottK0wpFSXcf82dU2QAJMAdsUqAxRa4j70R49fMx1qOexcjcaz3E62IkPKm5 qTIBiuPQIa3T6aFuRnGOEToMTIfovj4ik/qRNyTy4jAV2DppNm7H6UerHPT3sVFNiuoJ+ccP XI3H9pA/D1RD8aewndndjnUZ0ifm6mDP0zI3GMAtm8UEjLKBlQyS6/m0JHQJFwnmBdZwI0Ah ddhQDoq+iIlCaJE61UbFUE2AOsqrNPiQZHNCUqcZZi9fGjJ/ZKLJIoMnRuPFnlJ93XhIkxQ7 o1P+lNvKV0H3kZkX+uApjJlq40aFBpOhA2YZt6WRvEhjilEHYs/AaHdHCQVcOVCRmTNUeNhu 8p9ddp4y9YprIlVJtfFFwKsSfYiSYcRhRRtyAmEoWhdUS531SReZYoYomNBQ2U2qGX8iz2s+ 5qKqIqpBWl3tvaySdLtOBTs4a7Ra1pYEsqpcK+5OSKzkenzy8vDH11ed07OTP3cuT17TpoCR X8cCDIChMYZQMJ2k7YZcufn64vDs1YmpQ65IOq0aIid02avtDgPzMrmNlXyF4/iajkdNbidL QQ8xIg7tVn2YJlL8qSinO9nSVuvvnYwluofsBkBheSREZYG0GiK7t/aULxIy3eJlgkptcg2I 0GwlTDE7hzNKkFxy6Pg6n2Z8KgJGx2SMEcf0wBulG2NceWpiHE3nmEB5cp2CsT9F3/GbaJKx vrQf3elw2UlWDmRs7ljqGnBujiZltb6Ycyth3o02jbmVDWXrnBc4LUUmLwj+FzB45A1mOD3n 5SV6I0dDLMPN5ZlAoLVGr1NQ68DWRqVEuZKofr+qp55X9dTzqh7RWjM/rqYqz6RhQRmB/qdo xEkwdgmblmuX24YzlHE9+YsHuixwWNfpDCpolbREn4trhXzHleE+50ERMHNrGWViLhFblTLP L6ZJJ/YHg97eYHtvt9WKd7rd3Sh6HO8vo0jMVbdIjZgrypLno23SmOG/jF4EU9JR9YsTnBTm dIMNo0I21mf2cMswwALYatgOQzzaIQuQ+rgm3mwB7sVqi81Nlb2GndtcrTl3CSuHJhHd5Axd 1PIlRIEMbcIPVsSh/Zu1EufoIWpfsiaQ7dLmoTgyeV3y3sd3OObuCKTvdHIX4m/T6P2TQh54 pKTIq9JvWP2NHnBQN5JnrRtF28qNWZHpr7tEIdmU3bgbxwf9vV243g8ePRrsbx882h9Ub8qK yopbsqKgxCjtc5AS/Cv7kaMUjobAZfdhNY2bV0iU6KdoGmygXeACNyWuqfxQvYZ1+8TZJ/+i fmgfUuRyfDlDfi5cM6bxNfZgsy6X4if4S/IOtbsVrnYPb9BDDmJT1v1tcjzMQ5siN1E7Kvbz dH0U5mNH3smFrgXf9kB6sh26b/s58e0mYWT3vhJqVtnd2o139/Z2o1arv73f3tt+tDfoVm+8 spqKu66sFBsN2GYg8R7zLvC2SBdKP10FRnNCNKrPxVqtTfr/qxrPF/w/oVukRn3QBluMYIaQ deff/69L+D6XajL1w6DTwMkCCSz5sh/1PuQ/DfIdhG6Z7rlO+Om4Nbpdal0ln2flLPN7zeO2 P9jaivYOtuJWa3/Q3tuJDuL9vaXWVOpZuKJShtaTCYiQjyvjcdAz4a6ouudwzLzbA9f2RFD+ grBbA4ZwMKvU7IeSJi/nqctBe2Gv5jiZhTajXg0J/SpjN8wSR66mQ7saVIV9k3/1I3Y+59Gd oLqnBHte1F2s1bdaevEGmHcVScxptmUGHdUqx9sshvGHwNzXGqobuQtOL4kNNJPQdSfB+Z7l nNLqgIwDOTo7v4J6tTqYMcf5iYSI88nJp8nUIH+QUgNvg3SCMOFo8QIhgP7CRz+R0zdQPROd 2whuWFJkzPcB3Lrqhhl/mghWCAGGi9ED1daoXnKDWVfz+jSrNlRVk/QJ/lnARxb2MuW7vWe/ U3pG9N4g8urkZ5RDt2X+a7UeDXYed3t78c4enbbNfvxhkwFi7j9X1A7uvq3GFhytBubd/a// Wq3bPNP15/ofcjyFRArVGIeMtrMQ5nC1Po2vybao7TUs6iOhGwuKSw7wx0ZHMg48Z3rC+qwJ kSBHxEwxvS0B/KJvFXFP4MgYwawSkAzErEhREqFzeBaV9FoUGxcEhW1L0/STDZH2odC8HBDD O+r0y2K/oNfXcXW/gJ9oXbfEq1UzPSCafjqHBeynaPDIag7QC4njFmRTzLhV890Sqz1U5XQe ZXWGhwvm44TOaIiz4M+Ah7aktXNX7C4z6gEyBtAknBibDdI/JG6GjtBYlbzUAjaDpmOHGHEm DoJY5pldrVMQIKkgOX8cbIwZRQ3zRjkcItS6rYEdMMdxL84y2O2Op1wGFMbR4esCEJ2KejNR vn4kEm0KU8Mu7OWI3OZQezAyzuYcjFxjXMlYs0ys1lG/M51xXCO5BqEdnjRq7NnMkQ9GJ2s3 HIVbs4LQDhe2MCJJ0Td4CKWyGvmP2QkgV0A6JtQTOmfmbImSntbQ9EYt2uoRit2D/QI7ccxe Zgb9O2cGwS9aaL9frasBX1XCN6jxTGkakZDARwZ4FOg6p3HgvCAEfjlCupwBeYnZbZ5Q0BFK ABYI1UakyxtG3XjYZA2EGRGDYHpaH8cSWYXxwiQmdko27KIKprfVHI0+eMojoLwUCwoLDjMF mwu3qZjh4MMJjLZHiVmartpVE4SZbGaZRbQyNEhtHQQAPx+5WFiapI9pBVVAQ7eQIXYPyH0a FLHGnWR8DqNhMvIho1G4/+m/ykB+y1OUsA7uh8+cD184XwJLhuyE35z3pTAc5mv8fX7Fz6SS fg0YlGIV+eahTK71uIbV/QL1vfO7sWTrq3XCn7ehoylaB80K0PGz1kJjJHb8Zu3kQ18YSw7u aWcspicvgi61SBC6ytzR2cgQITjOmKueRdmtzV08IJ9iBlnGICtnm8vRObG4b/kFXIiRhN8S cBzH+OD3ZcZ7HmuhYt1wJRuKqDBqejXJj6kKTRJYtajxyWPbqA/Z/cfDPxnFMzu90Ix6sKFL kemRfkIuJoj+YMml2meV+zJ1bdfIYsDWMHOO3cSLNpcQbJFcDIpYzWxmQ2srE1g99LJ0CIRD HBq8/nkzlwsWy15b8HeYtOKWDUtQUiQZxIBqW/rAlysbqeTGqbUkgQVeG2ptgM6tDzC8jPq2 3jKbgJgSnOObdNi3AOI03QiSqEPRITvhEjQdcDNhcbzwXYd0vBgIoB82EfkY8osZWxqUL2mp v7uKD0Ta8JYr5LhATZ7DLpkVcDA/BO9DT5DrOKRsXpTP21HcTpkgpsBkNWn0tPw1tWLAco4m 3Ed3HbvMKpDLOlwAyEN5woyTu0zaaXkedMmATo/ZYdWsZy4LmrGL4tS1N43WjTjnyAXF1K3W Cs4RaI7uZueDoO5tTGQyPjhMhGUeee/A/N6QOxLJceyhQL6lnF+DBrEOZ4MxzE0r6zhT8Scn OkGy1+YxnAyrGjKoKFkVpTazOWqGSgQDTAXRbm3B7Q3EBZOZe8lNasEmrKsThGr+DrWlGpEw w+wwAsUEbULEO/G5cCJ+bNZ4H6xe9h9wQyJTkFcA9INh3tSwmNt1NKsY4fkkOFe73po9sWuM E09kwnAOxTvhhyi7gWZIUCy5OWr3g+dhLRc5IVGhLVMrfflesbolmUCglX/gMjzMArNM5Qlz 3Zj5MH5n6VacsdmN5KU5T6m5YhOSL0zfEIwH2ppfM7K2zE6e1ydplNHyYb6vJa8PNNW9W60L YeXUB83+nJwTDaCqDFJM7ApJQjIFChFJdtsq5SfoKHCc4w0uCxCWne1mN5kZsV2N0+qe5MGA Im/qIqygjdhEkmQTdP4TEWnEgVlOWJaDQUu9QGadKLSzpHBI0emO1q6Mk3DooXNfxwGPYbUu YxqpbxRmwKOkrujtgd5fY1yTmlULcI44Osl001F2pdxdqSl7UuukwB7Osr+vzo/PSRFFaJlm jUnAtFufFRu6UnT9yMxLp60TCv5XNv2yF1UhWBCcZfY02Z/UVDqRyjtS5BJ+TitZtoa0GHQU pD7Y7YhkKy6dmCOKLlaKQAtI5GU5n7pBvl2OUvDuY3Qn00+zZpW29nofptcI05Aan28rNDPc 1jhHiIGoSN+8pBKG+UDIeOgSyFjxp148YU66n3I5FFAl8y+s+5j7rkkogsPjYwdgTRY8h+Vu ubMF5Cv3jaq8QrwLDZPo6lJxoeG2A/rQ4DA0DJag7QuHJpVr0dugDDh9LVYDciDRTJBA6NM+ e7nBGhBGgyA31lVeZDHyxgTBRSNHjCf6qV+qn3tmof1hVSkDBfq8wBcYiOUHk/L9jEqpUWkW Vm8gSIXxukZtakyE040wZSRiuJxnrtMLTAl+YkbXCk5ncrrhZLjF2EWNgrcxoyjeA/AB6wL8 Tivjifwq0S2HRAzmU2JWoDZUD5HkTdOJKE9ZYth9j0G5NK5mgU/3IiHizGoAQ4jJA0eOGiV0 YPcxkIvdZJVDRXpHkYqMZ5dgNh7MC0uXo01iYONlr1KlkainQs04O1SJRBNcXrwMbBKBxQB5 bqym4gw/PK0A/vd5qQXwlkMdHxzsjMKIjBstcFSRW6n4sIXqYyyChpMlGnl8e4hsVGGPg9wa DHc9iJH7w/QvxDKgFzQmKU3GILnW5Fjx7NG+zoFM4kibKt6hGj/caiCEfwO4Ixp1U/N9BE2j WWS9F8PamJecQIGFJXG6zpVwcvnl05ybMrmUCyUFl7FqeCbKvB9CZTkxZLT7j+Ot7f39x7ut VrTfa29Fg8HOAv+Y6voWWjtyZcnetoXmjqBO/7YdRECehVUnNqfTj6/RO0Pw2QjmLjBgCujz hQ/w7W0jQMzAMxaXNmwViucWuKiCwcaGxOI7Tlt4JWQE2KCBdIlg6r23sXVj2R3PtT/BRnBr /bEIzYtsNZcgNlyKFmmUEd4YPjrFPRgEG7TrLDAaPuKa8RnBLFCpDPebAQvDR4xDkZkmnWeI bvTUAjShw980E7xRccZVk42Dh0YPOhjBizi0AsiFyDVoFN3earTJiP/V1wS6SNpl8jIiNZuv utGLiXoKE4ieSDivHfyqA+L1LKTYVJguqIqothH4sV7EA1zhCxYEQjP1GzWgVcNh2gvt+kn0 spZBh47millnjmp2PvSCndHdVdh42iS0YPgVrmHxI4qu9r/hAQySTxxZkCa8bED1uMym1EkD wiGGCS1UkATPdAHgR72OSAS4d3nUvyTvWmYM3wkCSIK79d1Tr5Dp8nf8l1PoV+idRcq4mkbj TPzcY/TKYtOHEsCGsQbgxcDXc9JE7iOm9ecbT+AN/Lro5DEvJXF2S9TLFXmVO+koLD5ZhKbc GUUxwr1NPCdZ6piv5ZOjQfp5+dxBv/4Y80lCxYngIzRX5HNcb0KWzC83PMTVRi8zgpekzmYh UxreMHzomivv4Y9mG/9iw1EYvhffN4R/kk/5y0bwvlZDLfgWLrl24peEMcfeI2mwHWOIMqUQ DBXG7bMnnUM77DBkFLf2cOBIyJUqvwNvZe/VV9yqyL9KZ/cXO43w/J0fl/xTPEWrSm62w6jR bcAFXWu++FtDlJuRKquEAY6G1yDYzW5GT5hm7T0mXNPdXYY0++oUC+MexKU5EhQIOq0oJ1A0 HmuKuLNMvpoGxBilYjbN/lHxGfngw50/EeRTJlwmPMVYADDWGDjMEZvveZMbgsbiAYW8LVWb qUdIa9V6Cnqgf2vCKPDeFB/P4sIyaiXcGQewELAev83dwXGn946VzKAyWB7rinODRP1+x7wO 4YKBdhvE+DdfDGeddDLVX/C/ZvVsPCaZuEcYBmF9EMwtxFDPcoN5VJJzQ6eMO0c0hFfgPa/A e5emv2eazkRdCPZ7pep0wpg9IQgHEAPxWIf4KZRqVBw+4WiQI+IlTN7BCOcThKxowBWgjehd 8I6oFEFZ/qpblrpv5ddcZDNILir8SD5kGub/8KxPr8OQ4YRr/HnDboT8Pcx9Ddx7X7CKG8hS ETlSpBaGXjGzDJKgVhNmNepx3HeMJKxEZPM2M2lUDdf1888/s9YHA97ZAYlDyPEMoPc65bFT hbAb5UV2H66EM4VOKHDsLJ1xfkhSh0YqJHPeVBYTQSBwMGyEbWHazZ0X6cxMlkwZreGWs4ZO QEJAu/rWbAUkzDWf+v4lGqITytSoTWWm5ObNQPS2CInELsG2T6d9O3CBkyTkjJ2tA/jnt6C9 HHA8IVdtmgjalvzbYb+kAO1dcqflB7pZ+JfMRvGJNz9eJO46j0L8n5J+MrtbR8VOKJsHpmOT ALdrLaY0En0cjju2REfYTTRObOpkCFTkzh7eWoTHaTDS8dr3QtBpO9wzk3l5xoSYB+USEMk7 QV7eka9uLUwxtEj1lcsiNIRHhN5b39mTDNVfdQy6Yb8SE1pk4P6tGLfAAY+VhWGvCMV3PWjv 44HcP3jMB5IxWGbTdHwdZ86S3BWiOgKVjN/85CYmdw4kxh4jtuLKCtPTMs9WP1sMXHC46YH6 jVNjb7CJaKiusk+D+JPgkSHCWjU6xxitcnBYYQ9cz0ccsQpUlkKRCLqD8vwSCEo2QXvG+Jqq E9Id/i2epozqUZN0oKQiQbMwGVjF1QbrJGw+z0JJNVksAt/avKjPpLvaXKLnDB/g9v4Ley4g m2yCLO85zjhivr5K0Aut4BiEV6KV1ZFbtw4V7HEhW83ZElSf5glHsxnQffRvkFDPMHr+AmpB Zqj7/EUElPRQzU3yKlFgwCH5tfFG36Ob52Bnt+HzmgswO0oxP9y7h74wxC0owio1GT84QVMi Kk7yi0i0ZQG4k6hobuLercHwI7cWAz5kuQRrZEJGcZ7JDUM4dzdRxqaHTjqgWK/Qw0RqVAXV UFSN3FEUg0hT+ZjCNg5293OX+EOn0qIKESmzjgqS2wnVUGxEE1CPdTKGifAtnuEZwqFyZb73 C3D9scarI89FDpOkGVY8ETIt3sYg0LKTLXveSRiidCqDTdhyeD7FOSDgEV0vZWuLiCNM+ayx RLFWuDInbCCEz2dT6TB5qcAhNFEKNb2JAt1dfKtYtP2hRceSRTpARuFgT8IVPnuRVjCmj25x WZbnCCzddyH6mYVyTobcTnwCaAc6jF6SdezApCuhwosxlBdFkAXfcS0cfIiVhN/gbQnfy10p U9EoiaOtBd99Rxzul7VM+5/k2xX3rP8iLVvdBecQkNY7zuWMVzJIkNLjXAHluIW5a2/tHsBq 1dtb2wc53cSDV00Al3CXXeJWdXeTb2LGNKt4tj6U7V+0DnI1myxcwjJUzMTz4JSzSTkU8h// YEZx+XXjsM4HtcKhfyviUS+47TQByxhHcgFdC8wj+ZKaJam7E++3D/qP2q1Wr//ooBv1o8e7 SxlICjUuNJEUSnPUJsds0ikXJOs/qNfN2iTNZiCQZK2bNYwKMi+ewaTftG4oqZQtzazw5jXm wqUvCq9Qg1D5DiTLjubOhRKk49mhkKk96Z39Rox2m5PrjtGZ5Kp1ingGv1yxMdCibFMDofGl HeaajcBWeJ3K9zBTuZpx8kZRBpfMZjSfpR+i3nyeH3vl8nQUm7z6AwcaVqZrh/K47OzR4Xe/ wkjdbHOY3WUEZp2rk9/C4aI/Sl/C/OSGzs8RABQY7PKPvOZEYNij/Jh7+1Z0A/Y7JzAy1Hbn QzTFA6zZutyg9Wr5k2EX4Ij3EEO2ka9anjt5uEhJpCIk2eltS7R10KatUO0amByA1HJ2rI55 G8ZH7z5ppllpIeTwYaz46CdGlAgkfqAwBi3vZtvaf0wslSTw+R5FOh2FxF1bLADxRQWajxOZ T+NFA8QP4LsTRFBgQY2MW95Te333+P4unxLDjFKJ6slxMChWdA6Qa+C8MKaKsrmgFx5wRW9b BVTEFW1j5NvOVqO981UmxwZ5z+6LJ1/JjXCBqsJXuPmAfbgv8NPmCwNb6W6aqv6YWPMVnkRt HX0myhotbcODn/OSva2ItoxUtSa9gsOTKigTE2JhAfyjZk8Yty2QDo3AOVJ+RnRn4F9aFWZh M/Wp7s/BKbY1loAV0+ba2xPEA9xjjirKR8SwiifGxqAsRjPO2rCi6hlYn6WS0jCn2AVGC7Vm OA0ULeCt+hNas/vrpQRidVsdgVj040E0H86elIEMxJ8mpYDigUlO9ST4tr/GFg2ZVLrH2yRN bO9IKqZBPOvdUH9EzU1gvXoJ5whwlCPBNGt5c9LhxUXn+PTNZRhNp7Vftt4Z65Kw36LFqsRl sImcDNNJoTbLQEfIMVz+A2zi3i8IN4VXm5BsyEDkokUgixC6rxoB6xNzUA+0sTnBFyt/t+T2 /cx71rk4V5e7OfUo/lZ3Z9nVWXFtsho6nyeFqK3mSXENDTsHgq3z4HGK9exBiabeslOGSVJC 6Y2VNHHKAaTk3zzXqDLG1OnezeKIRGwyDPqEHpMMk/Io9Mgdgdssj4Ifcs3SMO33+wbofF0x rrrg5qCRc/gxuss8gHxx6BOtXRdDXmCYqLfjMDuxf9wH/l+ZCOz+TxflAvuMrANi7+G4JRPM whJzN2Z3Rt810eQHCL4gy40kuaFEYaS9rO+ixXyPLqyiyRON1RkZTuDj6YxtZjANDWtt2hKo fsp9Ws+lwlXMtGUz4jJimdRs+kA5mrSqDesaFTnsSOA877rPQ8cnrhZw2l2GyPU67DfCVUFP +Q/oo+tZl2WUGcjpKoERYxHCAiFAUEzLTWmSGvi5/EVfWohedSoRtzkME0Flo7Fak2GWZ2e1 3s1oscma7U7gbXyXm1HKe4U2pQ4IP6gmMb/wn4aAXc2CcINHXwu8Cv3adHkkq0R+rbjilRXF 7p7Lv4wPt+LWNLEei9xukqVjJj5D1kDWV+bo44hdxh9i2hrCjT439I3VlSEiOc4xrmqb6A+5 EamJPwxlPMRbbTBoQA0+CPFj9i6Se9p2BCuw80GTCtyZ7BdVGjrFn0mWTuqyjNYy307BF1pw yAWhH21TeJWTebLdVvs/sTlh5JUIQy6yc4mljuCLV4yxMvM8ExxFmoHARxumOL9ZjEYNgyLQ GQ45LiDrkB8bxwqIF4oxzCiGM9UFdUybwEMmhOV8RfaFOCJMjwGwEeTKAMT8JYqOr9OPoo3D C/lQ6+M+s/GIERAUp+GOsmJxZAhBLhCioDpb8LBqCvBILmYYYFe0bxa9cWlnG+t0Xbxx6zmr tBpcC6baMjdZk/ZFfEbUTKEoCV3biU3PIrvQx0+7wk3qIVLjcP1hxuG65rDwls2LbEbvRU4F ICy03VWnmN3uR3h4zN/hm/C95uUpNTt7W9zOkxLHoiMK7QJOEev5jLieN+xnqbGBOL0ooprd jW42h7JnYSLS6Z2gkKa9aKZRGZw3BMjHfHxrkyiw+Docym5EtyPJC0gOHRLuQ4MxOQGnDAJI xwQ6mcwM4KjxDdZN6XncLPZVoB/oeBPM+tb9BnZbmRN4QxONy4LTflJ3lNKtLv8O47Gz6Utc 0K17hpu+6i9oHaOEdjKpTB8oWMcP1nSQwpGaUPArqVu4Ig7ZpEWwLrYUT6dZGNVvWeLlBLTd rhOFKpFt7CHrZLeGdY4q8aKvl3jR14te9HWbnHoymxoy4Dr6kCIliEbIBeAukX2pOCAhOfax exbOg7getbhnsEreouT92RDxWNZuI8i5kdcL+be4c4fuyklvyIXQ88yiFUiQGEtXYHzGp2Ur hI7ZGrn3Cu7i+Zv5bvI0RVRTfdGoTMUaB43RgehRPhhG1xk3UOZM71dv5sWbFq67xKl+8cc0 h6Zf5A5E7ncfOafNfBSzl8LHmxQxFOdoxTWgFNRhVUtgC03gIYR7YdczlLe8KS1z3he+FSaD Oi2Hjipf7MSvzNVCJ34975SV8x5ffres3CrDVMLhJMTAWS+i0xmDEfCK0yVT4qTKBIe9VA2M bK7bv7x/p9nTPAfV5F0+fYbeSu/fNUjwZCUZN+4Uc6msefhdbgKgktrTAPe6CZ1gMFiT3o+h SdjdsVHuF0offZbXKms9Fnit2qtWCRgJ3JsbkrA559TBDlJH5C0iMBs2fB7NoxgV53hNob8D ZV8aEyYji5iPSMf0aKfNOqai5wiraMT5iza8hCT38TUnppZ8quqrYWYtzUwuDKNx9LJKkSKT iicIx8juR4PoA2OKc7UCujaIP8L4CPtXkjdZ/y9kGYCnF2BqT6mtdUAD6J3EHthTmN9pEkmi LnY34YKGAzn9OtUFzBT3EOxgLPpsTf4lCbyUc7lDpDAQIFUPzx4/FLCKWZQwwICq03BX6AJN HxIWQk+BmwiBHsgoTLa79m5jB9Z2v93YZX03dAP60emir58dlL/EPq/Nbgtly271C1QdxemT osERgEbqA9Ah2zlLP+gIjmAKsXVKY5IzxfZSHT6z24YrvJAgzrDZrrEs4X/EgkckDp2OTAHM W64brjiB+6nhS15cY6WIYW+BezhrU5NeV4bnf69igDL/RPXz3D93LVHm394AA7olnrtdtSLq e0vNMcIet0Tx/CEJ3fQmTGgh1/2ivGrqPD4A0l4QDuilygUY7348f9+2WVIQipBVZyS0Ig+P 0dl/i1s9YZMkylPBi+KORWApmPUCj/nGH5KNe9CWdeNPSBKMp7J6wMSmI/nbVM5DomKkN6Xv ag5fYx71uSjV4hY1EYNNbD6gGTIvB223Ci25acci7TvmV+7LZkANWW6UcYWAPYvGmhYn4WTD lPsIoY1AZA/i6TSd2pS3tuJnzkhoWd0284P0P31hu1v4MjcQ2Q2DYZpOQxc7aKu1l8985Vjf Cn5axp+CaMZxGrPQABzDhzugiQOFfDQpuRMf1MHmk5ve2xbhEyD1zDT1ETHRhELAGDBxD8tp Tppp3JtTwKBSGbGwIEPHP+4dlbjUqTPaKRFC8UZzqFNOCNwk0Y1xY0R6nAzhkkfAWxbcEB7K rP1pdmjc3aCEpSDwY0WEItr0PzEXy2Ut/TgZE3eMhRJHD0Iex3Tbi1HFkg4o2nwB/wME+Zvn av1zKIiTlB4b+CjOld14hq6dMbeHbfyUb1NQe4bxh3hY0iA9hzmxqrzyFg+NL2d2l1GYnOOt bPO8o5Qq9y9d1XBpqjDHDrb3k37qltD/qg7p8hYdB+3V61clH0pdatww3KuLyWz3AexEzYkl +8FuBUZ2ps2A6dhwN/Ajb0P4W4YekBQNAtwUtmM8mDmmFnmV3tppJ8Qqm+5NODoE9lPXaGZh nMyi9uy4E09egkPK2Blifc0XUAFIXt8wwmDlumNup2RAKY+UYNwIcjBnWsuAvYKbGDErYKgN Aq+gaaxJ6+ktecLOR5TvIAuNUyx2g0S/tnVChRmHAzzvpx3SckdjTcUZQq8QOcntvDEv03Y2 08n2CBEaFlQo7uZejUanh5rCsYHhDjj0GQ9ZiJOvyccIhS9La+4OT28XzOcq5yA9HTAWDjIS OGEKq2jas6nXwrXna41g7Rn+zwtMbzDrtVgkgnpIY2Qzn5rkw4q1g/U77qy0eVykEydPK2mZ xEk79iM/HfAlx5+WETSJG5fOSk0m71bIARfRx1vEy25I3i0QHzEO2cu9Ch0Dzj/EvC7pBMMy ZrIq6UTJAEvDdGu/7Jz8+fLk9RP3yVnx0eXR4evDi9dXFc9Pyp+/qij/ypanc2ER2gl6Sp1q eY71TrU4s3RTiOxtnFDqK44XitYMG2bY1AhC/SS3mVaEcq3IPWS2fy34Y1C2sYMnQckB8oni cvevOb4f8LTLzetGABqaenh2vHl+sYnYsOIRbwhrNO77buV6lE0m69xz2GqdCkJsDpVtr2nS UE/dQ5UwYHA275YX8M6DCI6s4kILdjJCyChlbJAMjvtDgndPPiHZjchRnAQsCmWn2AUN3Sjv EIcujxTcE8RVF7XZwB1ykllLi2xSS5O3lhFnTRxFiVlLSYZipRaSx9rK8lEZpMedRgraqxUp WkAQOtk7PXDOmk9igFlUsCe4VkasjhjeaVJtk38zIiguJ0yknwZOpm5hKnE5P+I43mt0NGsf Za9FmUfA0ZzWwGsMT6upiCDB5VqbRJmkoqiIH6iJgoKycoly0yxxgrGrrEKmzF7a8KbbCZ1p oOEe/fse7n1iHRxmwjzz2Qnf+5MeWbZX+WInrkKsq6Jx5AiYXiNwiIAlrnyScDw/RH1OADin FSlERKiqwTAhDRuTo3XkV8OtpiWFmLrRtflA6mNdcn3dJfFaGp3iz4awk5W01BCSc9QSfUwy 905VGGHul2AOWjBzEDyvY+e06gIYYwIeNmsIdRc/x8tirjyHi80NYQk2VuC5y6WZs/lweBUz JCuvuj7BDTWeMasmT4qSjU4QCVLs3xE6bdY8VtXuexGwWsGb6A5hPXSWmLDi7CJaLwgBHWWs cE7ZCJBkf3Qmi7YKDmg8o+1r5bNShuvzbjatvLbgfss1tqx0zoq8Y1XkmYSYZZusyK5ppkk3 s0yJQCDoLk6UqXJo/v3D4bQEVm1x8q4QFlY0XZg2N55pbKx1g7AYysraMBoW1eczsqIoMH23 YJkfcwJ56MpgNYpxDt3MOLWGm6yB0hVjB4V9zrPJay/49/O1Gp1V3aYW2F5B7mgf+ilZGGGX p9FyFYzGyOC6LhajJOJJdfjQKYq4fLCS4/N0G26i8GBjKkkGQ/+xf5LNKZpyjj+3LB+m4lkC 6vKWBCmVozKDPC5JaekgIe+AmLHwV8uSoCnnH5x4FVQ3pPekaxYxNgXSknDj3s1kGrNa6+wm mWjbctppOlnu/f7NZefy9OzV65Or87OKznweAfGazN1PJSSljHiU8yBMPjSjjJkny6ahRUFs bgJO7gRPOendh2yL0S8Mvxi639ZcExiyZTMizeEojlDf1CeIZ7zsHILgqIWgUszf7OZLMWzw GPUUH2KuBNgy/zBO5rPYDU23/DASC8qfqmFqDlE0YjTdtb0bdJPAkHkmkTxHHjSt5GShfk7S oWbLqjvwA0r7yCuYpWnTaw8ZFdFIhU1l4HgeBadvJilfocfxE2dYa8A3FgDtS1KiaM/yMyBZ dkgdiCD85EuD6PYCM+9V/sRMV1Pvb6crTwJ13WB4Q0p4VJAkBGQg0rtLFo1CaTaNLBFPY8cF Zua0iw6LuVYvGcWWlPSFXonzTJaTccxdU+whLg7mGIFZm094k2Obbu6Y0AAsOetE4hjF9xhX Hl2IGvmu5FM2ONuvKZ4u3sBcaS63cZg7doB1TT2c28er57A6j8iCjckJzQlgmlYsw+kZ3OUU /Ty9oijC1GeMz2xgX0SiMdNtQP1Nlxlb/y9kkVMkOfTS8Nc5EelXXe9IzmOMegNijFIDQc5Y cHhWbsrCG3iAIfvs6AVEnuYEIk8cD8FG82Ep7CZvI3EiByu8Uk4H5sR0kjNJTG/Gn9++XoXe xitsOmcLsc8nnXAlWi7RtmTlMnVnA7kPngTWDnxMidhxunmgysi/NClpkbtU9JnZIxhw/a2X 44r4I0ojKWoLZ6m5j/2EAMq5+zmUkwIlPszYuo/d0KoFmb10AmlsJJtLInPUMWPOFOkIHNSQ F9K9CtG2S6i/zrOa5nezQ6chk/ucGRaOuZGf1a7uHXtJpqXNNoutagUIgcF7Siw9okA1LZMT /KJbJHemjsWBD8VwUuugiZJvT5Ae8PTLgeiRyzNfaM7i8Ay6R4jH7SSm0q0hcSk47y08y+jG iGluOMk8mlAtc++daQIjJzUKJUhE66ohUOE4vgai8yFmrbUdnviJfIz5ohDc8xK3Ecm4kGii tkRRzG8oNEwkmFgeiiukATRJGFcH478m6jqyZhRfa5YEavIocexWElmEeTAMTObncSB+BoUI P7eFU58pDpcEJ3VJhsLVIOihcea+dLm9xdxgCaJFwB4pZmBo2geGWVJN162K5H+lyfgKAxpR 38Do+JecGgTfCG7VexIP3M8KGdZduaQAUsECiqeyQgm6qLDKihqrFbdmHz+onscPqpckW8ep eyqtk/0NH8hEUh3ORK/Ycy6j5YAy9xeeev8JXfj2Ed3bzkcZ5WZngeZjvE78EAtIfPtZVpQl FxqSRj7mU7iLXPT5+Eb1JfGNqAOeDBheuqSOwI0orMVZEtJXOsuV9+h33tVYG2ykIdcuabBN fKfrt9O4KRkKPCGC6Lvy76ICdtGIcJKNP7bAJP/Fquwcbyp/Qg0Py2BKfl4SIuekjy/NryjC hseTwgIcDlOhC6zZZnwmxH3kysSF/otBnqRraTHF2eeAPNm+/e5AnnxsUSfrcilvwgl8+Yaj xKzGhiACxDQqdIE+EVFLMhRVZJxugezZI19ozMHSFw9/jD/CyLkFtxrevSCmwpVpnfE91Kp6 KWqVKm6XgpvK2QdKDQOfDRm1UJm1AC8KDe3W7LAYMIpo9f2IUVkVZJRAKKCvso1Kq2rSmRR5 6jrsbVr6Ec0kbx5pXq3OQ4V31tj6Oik3mCrX2VrwTNwwXAw54wwvJjtS1WQoMvWLnrVqLsws CaHWBdOkwoE1R/0Lc8jXgQ11GHipC/nq6andkM1F7MpLMFnAWN4IuGI/dW4h/G6JK8Z6UpX3 XrPgEEyxh9jAYA0tL/SAwTLwzivCD5j20A2M0e29q4a928rsooqdSKtuJlz5DNxSp6/thbnc yXbdRBYbB7weuPRlFAF5T9RiGmVO30lw7veRlRbllrlINY9hzuBSATGm0fmGHAgFyeZdIDbl HylmCbroekQgN2uC/BC6jxslBE4QKcqQIfOOYfkijUA6ZQhE5bFnik6RnCpJBWvMM675qirO Lyq6s3LtFFniRdsELA0mWSOR1+SCs2qznlFp5vRremfjWePa9DJDAxrm8fGFNKOgIE2sEY4x tZJ4NVD0niy65YaRcJSKHhpMzkKHv0pFeUOEBytqiGRhQBacWT6DE6hzXNCLWNWXapRtVrqI eCw9FlxZXpdGqj9SQHxX1NfV7AwI+48pUuCvCunLjn2pGSgZ/tQIC1LkO1fS4F8qZVgadZKV AMwKkjaqM3IKBpwhotix3AhGUEEADbvUzcBpHHf/0evDN287by/Ovz/8/vT16dVfQ/Ol7Qw6 rI/TcTOn1cYI0vWZONLTQrWlAR2PcznaDr0IONGoN3CcIbfPxSKmN+cc35LXz/EJ8tLTYn85 7R733ahMpF929fGvemA6UD4zdk7UYkQlf10KWRFaWQSnSK9XxzHdTBgbBDRQQBM5DmTL/Ndq 7T/abkcHURS1CVFxsx9/oGC0xYiJ3ASGvmw1EEOs0X68tYfQevXNjfvymi79n9H+cGtoygqC t+eXV68uTi4rUurpN/TdW4R9RxnrKJ3csfcpJktvHxw8whxYBw0oQTCOl39+Hbwapl0438fo 35xOCET4FWZPuKemXbSGXpMZXUjvj+OE0tzwGTuKhglc3eMkMt06PT45uzp9eXp0eHV6fibj WjjR8uVXndlNF7PQhbOsl8NZ1u/Fpazfj0JZXsTDdskVG4yup/lHIFZFk+SBiJTOpC4AlCz/ wLGJlmE9EphZMq54ieA8pW9waGnSL/8MX8JNO0vLX3uIlUXwyUUvMZuKeWnsyEdqRaU8ZBTA aACS+k7OcWY1OC0pbXdjyqVqnOQ2ofAgNRNjx8Y2yj3KNh3MvX3FGvb5yLHgiGXbpobMYkKS kdB5RD3W3MCkok453Tf2nNpCTBNrIM4k0tQORwwpNi3wHPZA+xGHycXGCwszqGJ7Vg99ggqW XEVSRZhIjnqKNay5llOt1mQUg/OOITsjGzDNHaAUiBuS5JDDgYkTyhXmCHUpapIYckkpIlFG WshPd1hVUM0YOBJidjyTpoYlZqqMGDPylDUSrwTSz9AfVT62Hn5v29FID5Qm8d4ITq9O3nQu T//3CY09q638N9yVofz4zCZqzn5/E/WmKcvfvXT8IR4nSPGZspGNIpoySS89B62y3p6eHZ/8 fHJJ6VFqKN9I5zZq9CRXGllZLtuQEcIH2PmNWlisDpELqFS+mpcXJ3/+8eTs6K9eVaEMWesq NFZZ3/eHlydLVlpaChF9eKKNI1MBiIMxPkZZFi6ZEvKpU5tFSOBqNPKtw7mOfLQQW5iDxoV5 XgQOYnH3vGbxFUFTfcUGuQHZkBjLMEKtJbaBoI+awJWBXqwPIEs5SO+AZjqedUB50ZTIMB4m yM5EOks1otBF/SLufRbqu3E+p0aJiRGtZpjYeiZaXyKfQrOZVnJT2Rwz8SZsdU8HM1asG3cU bpsTYpCbBtuhI+Mc5znXJFPTW8cw7rgXoDiMFsGI4pewk+RVwy73iEQnro0w6wiWRxonubk4 rO6D3jZwXUTTvoR1aoCN3/adBcBB6mdkADO6CRvYxDA9izNf8HRUUYiYgyoi1ULRKjh2eRjP HWU4m7KCRalzIqpjcszE3iUixKICQbD3kHltlPafCBr3FOgb5kuOBAKLr2XMmNUVv4TgBmTP 6XWcjmJ09gtw35PaEnm5IDhU5yv0AZnOh6J6gP3IMQ1uBnY2Q+sFCazxnOWqxCyl3C1WT9re oqzREZmqTeA6dXTsDA3PbKCpjTPrdeF2Vuca9uc0/SSiMI1wjImdh15hh23wd4TJcT2Lezfj BGO8nYpR7Q+TwslaIp13vH40lhVrDibpZC6xnMpnnbFveFS6VpPnvfFsc9ywx6d0m8K4Jiyh BOTjytATXXH/uzxBwf1/prNwshG2m5Pa5hhvUHoSnjXHtU3437bwCsZlNuDwnwCpjsrEA4wU it1RWMcFGP1VilSsahObw+G6ysSczjwuP6JSFR/TkrFvb30LsjIp0YD0nmxOEImutY1dwY2G r71Dzh9yCxj0GiUYThJNuwkQnal4jmG4YhfNgayejkeTBLY/qdzgkKIdjCcqHg5baOBGFnF8 zfrdJFP7PK1BRr4EH/OEx2eZK7Y5ms6e8ALCHgheBOMNWqxgM8B/61utrd0NeqZLR2M2g0Pz LqKCbO/JBsPdH5FWZwsVvGP/CaKHWj8oimTjrZArB1se9UXsToGHb4K21KRHKItjcdnhrSwe VX+LpTt8sHe2tmh94spGzpxUS4ZAGFpnneEozCjqFohA6b2CV5ahDr4zXRDeRGR8cNeqRqQe s8tTmvkMpJrY2Ois47autuZPppRSsLHRwQXdwjWrX9RFpSn5WCrp40qImPDu0gs16VvYDdY1 3JCnYdL3ZzIiPx+glI4rFSZKJGmWTgwaj2cpwRkH6uCiPU7IKWWQMk4YJtNAfTLfzGaiLHux YJcGCHCKXsUTNRDwpcy18AK5uHEe+UCYL+jKn56fbRCpoz04LtBwOSnupYYDWHRH4RUXjZBr SjIm+EBqx8Zx808mV7GcGV4ikmzQiIxcHy0L3kww2JhZnz684fxlxtlMxFumTf34QxLZQM5o 5vcJff3ZLwEI3jb51YlrX0ZokHQ05pnHnzj3J3IdBTJqzFpUUxXDgQwDAi0wGeuKI2SaMrRc y9cv+ZEIChhSyaIyKi4tC7PBeRyRPFYIXkim+FPnzVkO6KIaXsSHExmjSHiGkjNZZxQ6hJ4Q JsbWLjpWa6m2VUi/muOykWcDJfn9kFC6WtgumNotCE3kBtoyqUoKQDfKaGlKUCMdJGBHuZsH GnEd+CnrQmaJkVk/lH8wQJLmqU9QYC4wqZN+GXeV8YyFwo5ADoJ+u2bzxZL7ZighxDYlciNY f7ZuExRjIUbhd+vZrslxNVgjLAA1xI2BvAlJK+CQW/P1Tk3QPj1vSyde9AYoPnoTWj8bkkXC bb8Xu+gbOsKTSvguwPHCd3A2fedIO4nmJpItbaDQrbOczfrw0KyYdZbtyqXYijNQji95a73U lodUXRnzCjgPDB6jwVwlgxSum+DG5MFYl8hQnss6Qivn+j5sbgg+NYWM6VXomCH5tJSJwKZ1 1AbIxLlNu8mOLRheAYHyS1P1rthsvRYc1I+hRIByL/WpgK5Sr0hhKMmWQ3kB29Hw8rViv6W0 djyvVbCYS4x2R337ThY8ZwJ9E33KKQOsJzaGSKB+skE6QMOC2tg83wBKl0E2U6cI/DVjd1Wf HZDeA/9OvFP0IUqGkXW1wsGOdWXsvGOr9L/4iCsX1waGY2wbOEaBNvTwGIHYclVJeVXIIzM+ JK1rrv2Kj8RszzhM/AVUI9OM9Zhq7GFzpv44R/rMpJOKJK9LQfWE+Byr/R2d69RvTsl5xHpJ ii7w/fuzhq17xiAuGWYKcR3cMLDJ+nmz6MYOdv00YN4dV6wQ9YU65wEw8yIBU0i26S4716FR ErmujD1/FbjWp+khw78w35zMataTkh1/1Fhvo2eSWQP3FLyeEkQ8wX6Qtxt11TIxYqQfg2RD QirwUOhPZfPyoCPjel/8pTFmVBRWmoUnyaxDpno+5IM5lWY1aRH+ZH7jLK6T39L2//snUXzJ 2C7JgRIZiDjqm8ZSiWO/N2oDp4wr8kJqim6LKSzoROAH1M89s7FQ2ABS5WZ33ruNWX0NpWbp NTDCme+twFfCvZjamuq7vlqCmsqXjR5Sp1pK2SI0AkFB6al/cNibHxUog2Rm7gs1zMhgrLOG hMq1bKy9dWOpZEuZX6cDytJh2ekUEmpa8sikJXgpajFM4IRlLfJr9Bd1pHUPuAGu1KPNoNqF 083VhB9tOAVpGgm+z44K8SQwis+4pEYcsRN/IhUuVyJDZRsWuoSlLL+uRejycB2v2cupBTwo nW0CqkAKkSF+PmMyWLBTq5hCxzKtzwtaugsocJ8JHTr6ci3qU6ygU4HNl4SUcCy7nrss6QJE JRrpQtur1Mpt/iw67DABHPHo7a4nCi/3lntT0OUizJpuI/Hp1J+4mStlH3NTuznAFEBj4YFh TzZJXuMcnWemH3yTcTl7EyXsxGZwgVbEXdXF1+VZOxShn3CR8cDdjiXkx5HsqVZl/p0AVdLM UIgAV0YyI1wuIYUJjBPihDzplngJugflAjUQLbQRe2Y1yX3euMqPU6dZC6ZBcd8Io5U3SLgL qlf2VtEb0kPuNrTWIHM1DHT6Nbt+GH1B5jo0WoY3NLJDzQB7C7mUNwYNTD5qvhhF1yBAq/so FOu8OXx1evTUK0SJwtwyV399e4KWuHzBsWNef+5CzrtlDL+isgBPit61GOwSddFaYOS84Pz0 WGGmTeIEJ3PCQ1MnyIb1xSI4peJarPyYIlp58yB3h5Rmlg2eJ33e5wk7WhYgWN4SpgAvNwF/ bwrytMB+hxSzlhXyGUTEwzoYP4jqI9qXDGVkmChSvDHNmeN17iFYxlFGAi/B6Yc5ACO8EM7H RpNO6kAK914XHTup/ChPcB/6r6Ych92TijhCg8N1zDgRGOmOHaYLI+MQDoqh5K0qFaGb3w0y KSEXw79jXD8KuDOGpAxIaDJIesg+TZPstoUBhgThLvUQWtxHEGduiHvjocl0rhuYhybJNtbz GzvMJsGSE9Z8YVDwYfxsRC3wJeZNgTtZktr6jfFmc2stbU7dhgsfI2BkEVjfq0LSC+Tyk5TW VQKz71VFrg2FmsxRIOc0sdOQ5zGtsBXWDLYQb21Fe1xu3jYFPFAQ9pXdRMsT/OLkZMIYEbkU qCadWZXU2UfSH7jSAVIjTIxN2ehwOhgviqx6h0cShENUf1N16UCxFFeAHvUmd+SLoMvScHhQ fXLfsri18IK4teiTBSuiY5FZl3xmXaMwcPUCOGVodVWXKoIpl/FoBoSElYvBP/4RhNoRyp/G bDVS3RynXSt0w2lRMbRogPaxg0ycqw3xqyU/gq3VZ/saCkvkRLbkER38hn2HJHbS5QW4P8+B 8kOaPosZtC3tHddwyzXcYg0iuAe3WoHWwLxXaaa38H0j+M7MhP379h0nEbAa3xXTibpZiVsr 86ysmCNaMfgNZ+6LM15k7viqMbRPflvNkDywPKXvaSzn72lZCi0YGWlaWVVbUNgpk+gss6Dg JWNW2/mGg3wFmt7nAa4/XyH/FPHD5JmDZ8+E16lcHwr8lZs8yeTIW6S4dDYO2sXDHBGANoFw 4X4y6kITEZh5WlJnOpmx/TrJq5bgv1ZWMKabEiZK8mrkweQkCVsqyVDxV4ccR8Mic9YIkGU9 Ojz64aTz+qpz/vaCySnlXoYPmy+GhNSKp0YSm2H2RcwQwvQRJWaxKQud8BLsUrvSEzTbDwUk jggmUU4FLKMtih3/dr6mCvpifw2fbpcQQ38Mex2yOxjHs2nn9Rc60KrlRIZZAtMPNeSOWKn7 GB23nF0lr5FStbFRPZgMd9YWRLuXbLqSXSd1rpyoh6HDEllH0lBuR+egxyQb5IO93cq93Lwj 7BzdXGIAB+q+XaEVLibp8bILmakxCGOZzoCXqK1I8UOTwKZhctnQHSvEns6VE/368Bq+MdeF g9UvI/X2jTst/u6RbKJEb6ABJu6yfzzrCxahwDDaM907uVVCx4WuVsZ5lG6C0lYXJjGVBfeM NFE+uVX0NF+kmy/SfWrA55IIs6/TRf88SLryI29wtSknbfkX5cU1w4aGz5behmVHVVIW5jPt MUHPWUYFtowUrSYG1iTvM2eXfEYWn2B/ZYr58r78lFpP1ZwT7H0XsLFjldOLEjuWHKRSY5if AI2lH22imPlMajJZXoT72kKhjs/g1jvveUu5xXZOpX0PjTlk3xghJsjs+Cen9TUJDLR3Fn/M bSYyi6PG1AXp/xIyJHNSr7+3s2VkMXn5XiYsF9Qu6SMQ8DcZDiVez3iyWs1i/ji40dXv0VEc T3PepMmMmvr/uJ97glNYQr80c8TkukNpw2zKMPVUGOsfFTnDKsiddG7DvaMc27sQEfPgV3Z/ zyE0ksI4jfrs0/daE8BZxw9hrkFm4sCWirTXix0ZsIUQU66PcOxyejlPhFEvGCRjTtq4YiUC J//7zWdk1eY2a5Zuf2PqO81+Qq4vxGo5jnspBq8IW4B8nQyO27EKWu0l9IeSg7h9vaF09mrv D4JF2ckbmr1PWrjghJhaPY/BuZy4rHO7WNeIHB4orhDsWpN5nqYNuvs9Bom9DWUotVphE13q J3a/aMpiSv5O2g3fPQikTLgrPCehnHsQ+QYB48yKfBNShZr80MDJWE8BDcIa3tWMO05UIy8i XBiUZkIMj+Ugf/udq8/BQsY5wdTSLbgosUy2Ppyt83euLGNb7xlnIBMOVtAe+bwyejGZ6bfv s5LZtN/s1ALFE9L+8wp4g4hq6n+vfZDUDl5MmTboh5TZyaJkKXTzS5MUtq0TrwprAZAbJZ88 gBwOwYMJJE16gztg4XNojk2mENb5uuEdaE2USDidRUuTZBCwleMJTol2pWcAmp2UPhy2a4z0 +7eOR0o0viPQxmho/GMj1Cajt7LrjQ1zPErYlChGKHIB7U0pOS2ZtWCiHu3diicBGpMGiqfP w2gFLzmF34g8YBhqGWtlIOgSN1dD4GUCULnJigID4T7PNK0N7LsBXNQKAM2bhbPSlrsWoF+p mVN2EDDwmATdKLPP2Q4wKMtbH55gkW34vg3cyEY+upS57AO5HozmGK44wS0Z2Qxd1iVA11Bx MfspR8vA5iIPAs7PlTkWadZkzKc9E9dwA2tDpoZxPxKNpm3AgfC7Oj8+f0Jg3WQChk5ROkq8 mmL0AqDcpyHTjnxmZDqaxrwhyJ8halACBHGIWeSvGQ8M6JbBNDesOunULQorXKF82HMXqCXO 5oZVlVmj1NOvSr7tJyNP2CXTRpkpz5ai3iFhel6If7Q8szLtwJJO6BLXihjHDg18UhhqWlkh q7Qgphkey0tHTZNMyn30L2EWyuRpFqW92ju1h457Xj6sNvQoHlM7tS9R3TTtVHk6n4Ho89Rt j8h/zrnQOYtm1vig2YOrF49mhOamNCv1xkbBTlM04hoDzkZg5ty6S1Y4zGzlPWac1bJZwNcp NIDDsAk1dTqnkcyQzuGKTRkOTiyzOaUgqdC4Kl5Hzepk3OoNfBsRJXX5J3ID/JQA0lKuJcN8 qOOtb1dfNY4snHpBvYw4g+U1e4H14+iPwfkUbyHKzqA2DpPxC804XBPdAYMkHvZxD7SuW3RS UWEoqHT8IaWBmxNBBwoMl6iPc7oqvj4cdi7A2M7GM17Awrz03KQBOiUDmLOb1bpJv0KWcMMm aI49x4FRkfFzB6y4b9z3xT3A165mLaD9rcpfZ42r4i8FXSQjZjz0dNO5bjjvYCdHJR0xnNq4 77B7sXvZE9V1D5n2sOZkzsYgb7Ku4B/PuBX64XprFnR85bpm/MvIvatsXH7NYgBOw+srq9oN GSMGPT0T8ZNnszLFjHYYppcuNKmHjwS5vAh0O9kuYa/M+Ng0KXQFQyCzllwUCjxrrNPayVJN OKvSYeTv7lWGi2RPFk6MeZtiSgPXHcNzvQ9CPenduyatj8kZB19Qiy0oxwnvS3rBamp4/bTw TfcO6lv0FRWwPTZ3BTMSuANkwyR5X2LWd/EmI+LDXZZM5NhUiaF8q2Apz/myVBn4c8VKLNYE M+ncCrDgBaBL9yAwS+ZkGao00tNgxPynqdzUAOkM9xdx6sK/35XZvtVSTSXY2ud8YjTEjpFf wUeJaaNb2x2gxtiaI6zeJn303LKaI7cRa8nMjURpV55emJ0q2fiAOPHuwr86vU8oiwvE5hsQ z6Z3wPUhf/W0rLRaUuCb45OXhz/CiTk6f/2asHE6ILqXfYQrkHXYy+G5l8DnLVvcHFr4EujE uZiJziehHmdr1PnOVK4bzeacdxanEThzlnMjMJEgRn9EZCUT1LOyNgyx+0s0xJt6akMFiQ4R 2hvKKmOc8TytZidpBl81OaSMMSx02AL0sO2DPJmRHodRX2skVKkrIOPYKvQfhxbiZiHOL8r8 vUL6Q3G0prrpiBmfE6kkHlIMuktGffMOH89qsSvnmSLaWacjJYddBCI1edEs+q4UxryPi6aL 466x0ZV6z9556xc8c1S19kDaKHrj9CtpT9V7BSe14U1bMnNpzTdfpXtL0CSzFEiR/KqeVlio HPqD2gekOsgRClzb21edH0/PrtqPOm8Of1aZ0lEmqEDg6cidfNnP/RoKR+SSPBcxUYKg6eZu TXsBNd095WAESUV6eCgemnCIJQg/x08icWsFL9Gchrkam3wX02OpiZGIlTuG5j9gPAT5OFN0 Q0PuyenHpI/xNVTc5n+TWgzD/JGJgHv4s7mEGUGPPIdUe5mPjVCTs6WyWjLPKKCTLOPD5sYk 3dO9aOsneB+0DhSa3Ajy1T9lna4a4ApcCnoy1Fiam8IDvTz+XtWm6w7kXPqFrlhKUFIN7N+f Di9QjO4cnv3VP0vvckC/1f3epn730NEZqOs/qd/QGrRvNMRHl9R6fgh5F0B18Wai/WKrJuhX Uzm1XZE/netbzmOhDy+YzOU8yhFu0wRujEXa44AeCoKyGicGHDdbnHa+TVEaaMLHHLqSYHNm Et80w7Bc/CRTMfKJI6c2RR4Owt3va3riaHM1A/a8phdNYan5b9eJmh9xZeI4LaWIxORwt3KC XlN1xxZK0wQX5eSoZomaRNqTUA3UqTgjkzQu6+yfu25gFLa3vhfopspuRRZTWeYZNaOsmFaP I1ayS6frSqBrChOrWVeRhqeDQRbPDLg7ARFgsw6xYxpl6Cg52DvhRq4GCvl/qzDZ2Ua8KG1B FW5iK1bnujovQ1Y1YFsu7wPvTK3VfPX7jiDjGAByN4bHiRRcZFni1QPsDbAu5DLRg+Trgk5Q 2YMr4au5sfn2m+817qjiXvJ1NQz4kTBwwMwkJ5pJIhkNacfzjvyc8cU2qgUohOrT1bq9G4OQ lTRobeynPU4QWQhEu2R9z0dEeigdTkZQA4FkVIn/KNokzTEuZwQxMsYxGjkIfAUGQJC8TiYn 1bXPCXBH8h8HH0mAk2xTXFeSDxlT4ZSFBNr9reCUn8XjfsOGrgbtV99zr1c1vNCxAmV+vIm3 1C+CsL21jcAC+E+JVbNk6YRnymi1w2//Nq+tSeSQ1Ops1aLgXbEfOJSFaYWQSYHuJQUreZSz rtsK3fk2Vy5PrjpyWYb8XVXH1pF8rLMreKYuZaJzw9Q4CUNd8GRLF7pzykJFvRIdLzR2fHh1 KI3Z6s1UyYDCXKxSg/LBSygju2uz7seo6asoCmNDYOtwSqsKmX7cq5ct9oBhmu/VC5o+LCxp OmL8+ssIVIkuUVaE57X1IMXdH5JBPx4EP14Cw3R5eXIBwvgPJ0d/Oj17JQzGNGavUyH1EXua cXwZtsHchGQ0FQ7DKPdnI9Ri4uBhbH9A141BmWJnAa/EbJf4LXwok1+MPFVUepG/qTgsdyXO QLle8Qj3VvO7D40CmythAmYFS9lgZioXcJXKik8i6YvNy7KgP8oLvuUYjPBD7bfqXxW3vnS3 PK67lu+U/3b5LpUx4gu7ZLhm1FlUMNQ1xqzMdXFx6ae4kximhFTT0pVfrVZgnMKlBdRrQPBK 6Kr8QX/k4juoxRcBnA3MjBDIgyY/eOYJX8RP5Hl+kSU51xPcatckmFO2eSZYI/J5Q/4GK/7o uGrxlYJQVKwvVzLkSJteL6VTz0s65TmIXXoeFkK0OatqHmjXGGyNDiVrlTNdVepeWn83zggK 3hNqtKm2gY8Ylw1C0V0qIcV65yqT6E0CzQGsSIgEDe9Sudvq3j2JwoPPdjLd1GhT6luo2azN JZ+I+RV5nGlM+Ts0/gD3NmbIIJjVYKtRqH8Z4u6RTpwmmmxHj9WX5B5sfKHOcR52z7D6dbTj nhlAdJOkcP1OFs/Ti3sKLxe0JSheFeWa2ZWHqmd1ybm3mrnkqWvwFpSvac5zijEGcZZ0YlVK YvB9znzuKHtkQouYv8Zgwp1ourPgKiD55Bs3HQIO4EbMQSeEszzlqWpRfVHvL1lyVecVEmTv ov2DG9v6b7K/h2Hb6VCYzY6EPI9bLNwTcXl+dF4+Fs9wWV5VObRiU53dcS7Kq48bXaisDCW5 pEY/0KusWneWcsy99X3J7xWf5aS28xTBXP/y3CPPUR4VQH2JUidhq0fS9D5xPXj1SshRQ7oe SuQGG7XmxKg5e4YflAWsGS8R10P/Aq6NrEwW4ilT3x0T7W8dkX4ck2xK15HrCkX52HzfQOub O0cplNMiqwWRKlMTjM+ai0oBd7zEy9qtPjKec3wF8dyrKxonN0VMWSDEfGnnTD+M1jGJpzfR JFPfOcLym4qE/FGQN1lINz0kD7yxO2UMZZWmfp7Vy9hR5Y3IfseJryljKorMwK9irepB4ksl mPpCXOtCSusrEVmIpigG4inCFyIYhLhIDlxvd7lm0L5lEZVMttMKr2fXp1YkXdydnmsWnE65 DchJi72jlEJ29JCUYJ15/knAAD21OGrs1yXVMl+ibTgHr8RDy8lbWuKj5Hk/IX8wVD6BoAlZ lA7nDFQj97SdAvZjcbOE4hfC+5uB4DPvwWQ2NW1KE9SC6h0EEMGpdlpW77RQ8dTUTHiJJPzL hYpzVfCZtm5TkhVIs+165zNyTrzNx0lWKcZgxmt3GM9ECcq6BF+Z44ghnZOffzi+oM5hbr1K BUJBxZNwNCN1BrdU8C2cktBcvAasFR7XJCAxqGh3sd6CFwYzZPqkSZQkCuz0YKwSUnQkM5nV XHg/LRZloQ6NoVclQm5Y9hlL9qLRIbmOhmSauBbmV3pLlFEczwfsogukZUyJoJCb8XUrRq8D rdyj3MF+3Kvb8XhXthN8U4BoWbzU/NW37lJ/axfYr7xRqLqkG2Sh+KYcBGZxVzja9b6eSMrm stpLeuMBzah7CJwwdKiQTjCZC4Hd7aX9GB8enR+fdGj9j84vLn58e3VybDwjoNgouw5NxxFb 1ZggjZlEYuDGen2v1XhVjVagtIMvdFiHP3eOT9+cnF2enp9dfvUuq6kJZndRl43EUdbXWq10 tgX45LeeaPboWH6OFVvJ7JrXp5dXNM3IBP+2M1ze15LJlcMv82rQj/LagtX6/T7Y93lf68V0 RAJXTq/CDpzIE/nXvepnnQ1r8BXJB6GE7Scnaq3OV5nUMDl0ljbIZWBVvFmt85DdmJ72upDC M5uP7F3oMUFBNfUMSLRYaIzjIiW2zbIZVB8ltsOYDLneMBg/bJBK+uvMzduowxcVU8vGSBiY swpDmnBadzHHl6BtelWzMGv+EBaryX7U0IzOnB/IML7eZC/LW3izvZi0Z0WGgi1G9/ARfhPm EkbbPZngsmjAYPY9kyQ9N5Z7PKBD1AM69+3CPWENWj0Ov1WOkvUaIiw9zL3YqD1RYjlFiyCy FYmCSm6K8DONCV8LY6rJKoFcYsu4tqeZus4J02GxeshdkgC2KLHOH4sa0aJPjNWbVLpUOK5j /qGrF1Wqlb4XZnNLki7dGrpjGg4tUoP/JEE7K1cTMhPWKKy5xmf1fZGONhWFJ4mKkBw/uC4+ JJLOZLkTAEzOFx6BZVjp8iPAnTbAgLjIhHhssbJE4LWBb6jlj/uUZZIVLkgslFyUSF/5uAoO VDFq3j4mkmAMfs1ZZ8kYc+oGpM2zu7+O6eTGy/jZOB5uJuoEy3JNnuMDS+CqpXAbNKnLnRgq 1tkanUZl4ICJTFlVHGF0GALynhCWcDTONMFT7nozyKHSNszTBNiXD7HsN9MT0we60NBtG+GS c3yZNx5052Pfd/HGw4HT9rL5yT1HdOk1K+ON15Jzi3Bn+glmwBne2d0vYnHw3KuQQo7UtEvI N9asr4O0wxIF8gMIItWEiqomDcoZKum2zDAK96DjFv5NidUUjVJl1jhvssQLR0det24+xqu/ XFXMFA6/c6LMpBrWC86mBJJOSgX4XRbIpSoHLJtvOhfQ5ZABvDrIhYYSgPsbCmjDNLlGOsfc neSdJKpLuwcVDWxK5srUnizO0eh/pY43qNjkS5aJiwRCde8k3hLLEYwj12Q8ZxxPt5VAfFI4 vBdG32q1OKLJyukUESNpVfG997nqA6yKwFGmWDBbldqdL1kxm3/BLmbrUt26NWBLpqgpHl8e b0v9hYyWm28je2C+unMCZxUysVZ+SAS7Lag1xKip6CmmHyENn/VOqPAlWK07vud5p4JNh7DA jPBGbHK4hj2Inv2nyujtH7NVx+JdFVbDA8ASwp2VcBb8nu3UapnmND8Wi0Y6ptwMVvbsOU8e +QyWWIBdM/4yXWXNIJYoO7qVVIM/eZCLrXTEx7EsN69YZ4Lv8o72pICqcrkoTrdxubCNLzHf D5twmXGDEWjm3mxO5QE5ub2QL75dDduD710XrSWW7OEr5h0UQzA4loWc0o0GYByNMF4fY+ms r9cCt3Z3r/2G28LfDtCEuLwYABQVi34Xu+Fe/x531oquPr+3iXSdhuT172Mit/MTmXNQ+r1N ZCi+TeTLQ65P1iEGuqqq+v/esl4M/xTSJZe4cWRCUDlGQitG55Rd656R2lipsStN7skSnks2 mJ2UUvGnmwgWQfogBLLUGI7UsEklqBWHg12tcuZVumyhUTjXOeNcEI/EbUytQFGCg20yXytY dSBrVkA6JiVNvdxfwgRAiOk9x5FPXZZ8yjz51DLlCyC8sYvGJjjNXRrVcN6bG6XWeKui8KVI J8U6jbfKcb/EdYwFUAa7kFqscbYMwNrttbVtVo3NuHm4bk3ejTrVKzVfg79yfj1FrPDKagqO MXLQHPKiwOAEMM+hIhpspjPi+QA59LcUMNtx3iGWSV1j7nXV+a7gipNz3imrrsxN57tyD5wy 7517qpTZ8vdbMU71Pvc7lq/daXK95Ao+b3nXZl4HDiTXmS+Bssc/5bVQ+3JThktoFa9fibtq sJjAe9RU6Lpx+WE3I+9qJkHRJ6o9T9tvca28aCSXmpI1eclmVsUuPhRYKPi/GOEVMBbF5WhZ jCUC7XkXlcNhX168FPSseBYlw0wCAJzESpF1HrKAauz6GZweB+EWMK4myQy90ggb4Q7o5tR3 FNHO6sRQIZG8Ag7yoeSqmUzjHuWq1CI5WPHycjnUUYlXPocem/AtRdwziXamihClORdx4tBU NTAIWm5mc43ag/JmitR/5+2rzssfz44ouP/07OV556d2KCh8WUe8eXA5Os5dQGRwtV5dLHRr Pbx4dSl+Py/n494RbDKBHwg2EH67N/tExj4Gj4e3nd6YCSc/GkWfOvjYhl9kM7wLySIg+Tqc yCIsqlOn6N5WBw7bqHN62Xl5enF5dXT4+nVYsx7LLjJCkA77PQckocILaYWgFDF14cpsPkH4 S+c0IzYPusWYXkiFxGv0pmmWNamzE/TQwqxxhsjLtCCCIvTXdBYW6PQqdAhGBicCFU6pasm1 BUrePJmSkhxbMxjrti84o9KcHSu06E3DJTVwlYbSo+YLRjilZeI2O/C45hNAwTIp8wWDjfHq 5Aq2ROf7v16dHHbehluGpps25lC+M+AJsJOtZJ9sLDYCiSA4FaLPnARvHtHtQ/aQiQfGzVDS 4DeOH1T550U7tnTsewYi5g4RFOo0mSgCdDqfqr8WuYdYDS/msaLp5NcEZhMOehy4hH1pBN/J 3iJTDfqJ4NnqHJ2/eXt+CbcJd7bM7l80/L88Obz68eKkc3Z+1bn88e3b8wvH/m8dAMw24QlF 6sjmXto3DIqkW2ZNPl5ZWZOkUpSQHE2ZExktf7tmnAJWyjeZ3Yf+deWddzECVh9z//C8Pbmg o3N5cvXjWz07hsogWIkuskd63BUvbgPrMmJrehaY1zXx3tek4VPOYo326mE84PyH8Vg2KdGe XBAAp5kgkFh8RncRPbJosLTLntpvV3j7LCRKHDKDJmDEoyIW5yfbXMnbs7kZrAOnh7/Ok/6K Isbh/HAVL0fXU7JIw4sB/G2h7yoJaJ6dL1AS13GueGCluOKJuKtRjllUHohiPrQBKfi/AeWx oowRkY2CRfkaz7SJ32VnTKE8tDAttmOw5Co1oQ+xY7k7CpjtyBR4TXKvWW6MI/YkibIgznFo LTIKJnOFC0VRnfxoz3EGYM01TT+zOcUER05xkg2cSwe4iGL4iQTEUHUUEVNVge4XbPOcsaBz 7pCUh2Kj1CmI+6w7C6swO65Yj75aVJkRFkrDmhxvpFy8o+I3i4ZONV9AyxFS7Zz847Ft351Q UMB1CgQTXCsx+jMcXwcHGPolddwuUoZddAZZP8UYfqNrMtuaNUrKCqsWaXPDSQFegE7YFB5Y 5c5kZikES3M/OQEmZe+JfOiwKJdI3xaR+D2nokaw9vc1rm1R4TPeY1L2c1dQI1ajoXFhg7/T uXIarNp2oLhEDbjUMOD/q0ZtmZHY4r+6jbuSaaJyKXcS8by4JrPWa3gotZ4Sc4/IokamVWwh W+NLoSjIobdDd7tRvFeui8tMRAlWCjSl0adLTE1uDoI/BmuzteBJsDZYKzsC7XclE2M71DI2 U/1gu+oDat+Ud77YwS9eDtNotu994KhI4LCR9T+X4Usq2K2swBcX+cjmsrk6J5e0wnlWM/wY r3+IWb4n18V1FP+m6A+BrJOVkNSC8xDu82mOaiirK7CM9PdzdCifYD7WUYeehPK1hgw2mKo4 lRFsBF1xVIOAC/f5/qKqhXF+Hhj2x2rT8ZerQiFBHVPSuUCpgtBsoC109DYEqrBB7KviViiE SskTb2TIfF4A03lx1jk7+flKhY2GiAHK4dJRXVGNfoFphMvW8o2WX3QqPz4/O9HKtVJXcQJS ujoTwKWystIU/mEKJzEZxzY/k1PQxh85D7E7OJGSDNuERc0wzbzB5O5y5mJETUfzBEGFIv1V dGqEIkk/Cnh3P8kIaTaTPs3SVNQSVsXgdL5KraD+I25nKblqZrVZILAg8jd7ko043iGasuco SjGqfeGacNOwWxl5j2g/ycDhuOkWRa4HCVxG3PJFJmE1SbqhUIIMbwhncFaQggmRbfDT+elx WBMcPwoxw3CbZAgc5P/Mk5g3j5/CwJ1c2Ay4NSR+urA3oB2MUUB3c7s3TFJUUka5HtMF6H4F KJTk9SS80WtoKGR1GQlFrnVB8PvIzgYrpEmxOeP7OOnF+U8itspRbRFh8MDqDubDAhoxefvg 2JJxNhFwHmCzJ3GKxMQPvnP4eJvFXpNIqJ+Q01jDzf/+kRzueKo17yIme+pQtt8Uves0jasC 4mLaWVZ05iP5qCIlooLU3ySKEQcfI7YZxJ8mrCKEueDM33+sPlA49xUnSgZolohvhNrTatIC V8wH3EFyyJakMeUdw7qqevbveeZKJgw1AM6EVZ28Uqq84OT55y4InaQOLETSrRKNZD+ZXBTD O3aUG5JXK1miSEchKdurlgrLLLOJqFz5LsK6KJk7+mZ1upRvknJ4nOAQUIPZG0bkETg3jv4O MB30ETgMNQNxuDRXYufr0HtOSyUJwDZHScbvUGM5d1xn1bjZcEN4pSW44LoRB3u6KJjST+sy y6ARRKcYXlTSkwSqKHNjKbkbTJxIUhtFU2Ti4CZd016uyUe9m2h8HSvdXJN3xDrEPGs4U4dn x9InyWjh2RuM1oy6youFiGUIBKA5jygB9k3MfkqcIh5RzTiaGJhS2HYz0jrzHJRgHzV4WdCz Gvg5L8+uLCTVZRczEg0vzr9jO0H0TTicTsY805gTkGzI9pEBnM/vCnYujShtRdlqa2YNDtkG Cv+RzGRRNovxLpEcK3QfIO1FSk2nxfgJdDn/9jzjfN/kRqpGGbqo0uD/a2/ut4LTmUHbhwVw Ifc5TUksPc702qT9T5V9R1P1D+2tDZMYYD9xrYALhknfHEWfWpx8SKpCgjGIkunwjgc4itA8 LDQilNFFE++UmX7v3+aivyX/HZsFV+tlRzl8OwRKG4uWZpqmMDusz5PjYhPdOblmb2PMUVGS 8IOThsANOi2m+cCyRzHsiCDYQLx060oqfp/GgmRnRDP3YExtQlICCjcK0qV6RSFAaB04fU1c trwhIshOclqKcse13UKqzDSoJYVXTmzf1qLXz55Xxv6J34c4uD7PZSrHmahAclfdnXzawPxZ OL0gbGsY59XRD3CZnp2A5O0+eonyIWkfg+D+dhxG/XWaTrwoOUY/HCgFZUpgDqcm6on1QhA7 NVdmvVDwPr+D3WNguvuqPUWTa0y6WqXRq46rMzYSwinQBVQp6wyYCk41wkT0eRDiI9Q1DkmU DoeO6JkMWN6OgosYVbs90gA22C+bMiJIdiCpzZqATrND2TwN71vxLi62HoZuMXzCZWrNF/xH Xov9A8znUNlqToXEbqd2zoGXPJ8cSS9Q5r2Ks5lERlKMztnx5vnFJvBUjr6Zs6110glXIqOo OXq288nJpwkfQmBOp6T2pUe2108dlSr0Lh2TsPuc8DPcd+kt/1LF7kqKVk41bqhOhPTnfeSo GebHS0acxZgKIfmAt5a4yF3E12/NJ+kErg0yOyAZk18Y6DRtvkgnYw2dc3W0XJD4T6ccqnmp d+aL9JZWcD66gO3Zz3SqUMPYRpwxpoI4m0AB5/20Qylcga/vyNwOsxgvWmklml5nNcxBz98h JpGdOQLgNxj4C6oUoAGvTpusHlc3vfXUn2UZQyjzhigTzdpcz2Rt8OlPQIbFuqXu5Zh3asaH K9Os7KpVv9YHQtv7auYRWHl7lKA+gTBBYFWTOwaHg2GhqUlejRuLkZtklpC8lQ0fSFzJREt/ emyR8isplsY6SqrWQcH4sJZvbDXu8Czgj0VRZ42Y8avMO4aYQcJMBZyOnMMuOuSlFPJlCs2h 8hcOwszZyHpsyrE14Saz50lbMWtemoFFm2F8A5t45ZWThbzi/JiKmy+u6fThMeKN5PZX9nVJ pgbfIdFcFy4aKu/8lq3Dg//HT8UtCm1+Q0T3AHF/jibvdM4cqvlU4QZjPwUIeuXEoygZK7Sv U63kzZMKfNbf9KnCSbkyu4p1UeYDZEQaJ7Eo/lfiOVmFx+fMs0bqAf1vksxpUiYQ24pCCtsD ZeKzYH2c2k+pJ+scc0k3ocKWjGoM6H9+wdUGjsLWfi5TpAtmZ4eIU/iNsCoYEeeZCvqf1GCy ojwR++PlWRp3wNy33JKV74TqfoRuc8X2DDq2i8NHv61PO9Z1T1XIepVWJY/EMyiUK0xL/t18 gXaFl52TP1+evH6Se3imT/W53Qt6ZNg3vUeGcSIWRNQQ4E5kQgzQ7+FJcz9MWOlFfBoMbcZx YSRcEueEtAOuYKbmNfdLSjZFNB5eQ6lay3m7af52dv43anv6Hs5E6Jq2to/S4TCU69mFI9T/ 4HyUJr6pKNvD80OdY1VneSnf9obb04mXgJML++vWeSBLcXl0+Prw4vUVrkfACcPmozFlXuGb 3Bm9/8lJ/pPn937zKt/Mi/s/yTfzItdMxRZ6yYYo9ne1+gX7LdCBbswad28LwSP0iUD0RNSa haRGIF1KFucz4LjfsZ+o2ZUOPBV52Q6jScWW4gN57WzHr7TLHrTNltxn1RtN3hu78L9yIIUe Ljni8hNDP34tvbZYfx9b/RQ69AYOUdU0q2rqMbnq+Puy64D1b7CNMGkHSiibzGwHrN/noGH5 XvxSlfVAxVqL0Py68XUyJv5AWLkhCsS4EVkhphUwiop79bmXjnPnfKNLWStQejib5xeYZw0G Z68hNtSpz5G9U5ytX3ltvtRQDPwvf4v9mr/N3LvR9LKkk6istL1k3UJJJ0kNsUQn5W6v7CT/ VRaqGeRFchWGXbHWCMiOXGue5SRbV/rBcj+xD70VDdx4zC9g/4209FAZQM7Ml3HUwBZoLQ9k qD1GWut4AD9dykfrpCzPRctmJJ3hitLFwpai0LEMw+DMbjbb8UEMtk1UJvodrU6s1lYjnXF+ Te/8mjaV0ePNhMzvDLYgZV/2ZQO6IU8vKQjoiXd8cE8Wueec+o+IwxOeYXOuclyLaeL8qqKZ b76sHe/skivix0aV9cehyEiIzy82kcI4ztdWezVVeuRRkzfRJ4cBb3Dlepc6F6n/UTKu/KiE zKTTjq85C/7xDzwSnUp92qZq4gIlT2SCQI1oNu+qLq8bk64T0bVnKD7Zu8NRl6+s4GVPujiE H4W/O1bVGJp3VrvIH6GWfSX3BSqcnZ+s8MhTNWtrE9V7wfqiK2MxUbFOq9O2kKTG5dfrhKOf XynT0LuFSU2/7ZJe6wtZ6CWF5Fw0tR3pZq53pdYPNni4DTcCosU+z2MzpeR3RAmVfhMjQtLM 2jCANevPe6zuLuuFiVY2FFpodzqODd4aG54kGzwBd2EcWs6cSAK7qcXY/cjyOIJuWXdodHLK vpAWw6KcimIANjwrIWQz/vEzT7G7ZsaRdvnzXP650iQJaXPKGC9F59ADx7nwfAP5XHi4H3Ss bWNLnmr8AE8vJjE03361A41VLjzPpvn7zrIWFA368ucYprfpmWBW/E4tOMbaZtkRhtGZQ0wi wW9+cL/0bPG/yPXh6b1BExGFQfob0BKHZAwCysw53qYCAWNUApA48AjXw7QbDeWDvIpTT8M9 KjOZ53zJKqHEOcsLP/HUf78BqfEbfyilKf3aJzROkTI648owIHPkqAxKISG6aaofp0a5wouG ZanJpsKqGNgWNUtxqqQaS1X+lSKNyRZijRG4tb4/P399fnr8H8mnjCIsKb6srBhDQ5WQVJRx OHdGJi7lYicvCFDFiHwUEVBz4KmnSlRc7okqpwz/RwgN9gR7+JzzMUKQjlWSxP4+Cb7tr6lL A4cfWRrxqxdvb3xjfPdgvI/4c/H0M6Zz8s5bueDPGQvGmtVB+kxGhOU5yDnuOckyxVPrdMZG JLkGYWt/TBnhE2tBJD5TcUIeCuwa5jaXcsh7EbpFfKgEetP/hHVuBG4sDmUz+oqqEs8010f1 0h179byUuTpdKkk7+STOGkjkDOsAZ813hsLhI00jLwG32P9KkzFa34P3CBDC4PGTuJdEQ3wj Vb+nwA3nK6jmfCINT+Oh++rS9YVAd0YYScN/StMNj4uuVrlwTnzkfklx1q0t42/1IHYx77VV zL+RT7lAzv59XTkH+iDtvsfQF83FkAtMx4pCfNB8gf+LgYemEQ1xKWUhPTlwKc7RLC83x1cX lPd5RTRBOl6SrpOjoVT+XUA90NUzk75iVs4+KrkOyjO32W/rz7mUEn8nxkkIKsHTW1L2TQXz ZpgOm6sWtejECEvXu5QeE4VPvi8GVro0/JcZZ7FjfuwUk87sngGU0EKmgugUHTSb16h028ym vc1u1LuFW2HT7qzN0QdNkNPqBd1lSq1yMrDu7uPHvfZ+b/dRqzXY3e92u/v7+3HQ3tp6tLu7 2mw2l2tztV6vL9nuf/1X0NzeaewHdfjfR8F//ddqgDMa/EGhiNeAjZhdA81t3aytBqtN8+IZ rO1N6+bFatMtzSDlmzez+aQjaCz0oS0hmKebghBCnUKUkFyx+Qw+3URXEMySnFIt2Nmdg8bj oL7zWDorTqaCnjLWkWGQWYepPLmtKLwKbV/ERWFaOp6P6MdqoJTPRJEhjcZiP0W9Q+BMkVTD iSIC7ZbHWm65sg2nPTizTb9revV1TB/v6RP96PM/A5RhdaxIaced3k2awra+DekbLnabLzUf uZOQcVksRFO51243dtpBfW9rn2bzs6evMGswP3JoSobtVGIqgHHyGH/FPSZOuMfz922tAAmU 8smU6AijGcbR8O5vcatXI49cf8JXm18646vNv682V/gTDIYHCbYBD+C/fjxOR/K3qRxWHJ5Q MRR5BJNKK0ckd33U56JUi1s01LJNbD6oYwPm5aDtVqElN+1YpH2Tmut5wH3ZDKghfo35iYfR aEJhB9EYhHWMFSDEjojSx2OQybifAo0zqRGbLIqbip85I6lhH90284P0P31hu1v4MjcQ2T+D YZpOnRrqcGXt4en6FekOcKMBRuSZ04A/0aRHORwzjJ9JRwlGX6TxYJDApYk5sJnjJCel63Sa zG5GEiAGH6Szm2oSzzQp6s82UVSjXwUCX1pGyPt+3H+83e1vP9pvtbrt7YOoC0evX03ey+sq EvfycnjE23tbB3C26/TvYzzjQHaRDbH3AbBBnY/p9DaeEuaC8EAI5kru9MCX4XR10NczMF6Y KH89Nb8t3YjHGPDZt6+8yDbztq5CIjBFzieGhwzgh3QELhKU2Sjp6OVdRv6l7RA5iZOfr9CR IDgnPu60b+J+zRBQP86zsLvLs7C79xVmATpXGLH1pwtKx+z62zmjdj6DD/Ns2OHFBeZIugyj 6bT2y9Y74cUC4Jl4WHttHtYe3uBfvLglC2k8rQPm5+Sxp4yDdegcn7w9OTs+OTs6Pbnkqiom wfhtL6oNWFgWoP2Z0p78SpMFZ58n4dFWo72Ds/Bot7H9FfY4OndYKUFc4TF2bhyjf5HyQ5o8 saFqDOejm4jw8riydMLuJToQ8fwwkPVST4tKK7n9prgU//hH8E3ZrOJUPfATeuFMLu+puuhu roHfGsfOjsUFrQJk6M4HjWAtCBlwQ7ZJoSfC6ePGWFyR+RLrazoKy/KRN++t0P1OETDMAM1u /NWKLFVTLIJKvjVt59vMa6kRSCN/JAgPhKVYqnVvURa3B0UrmylbsSMQneXr9dp6TU/SErcd iFUENbPgsrNF5K7bfhzvdQfxYAdEmYN462BrZz/q95a565yqFl11TjGSCx7vEY2nf9uP20gH LAcIjPA1cDaTrDrijN6j+QvZUeYTKVC5k+NooS7L8hG/qkqxkuYkaTUrxU5U+2UB6rgUh+ZO 4yEx225oKn2eDBKbqxW/KmmowY4nmkXIBjlwrCJqjAkOcTKMElLjZ6y9N5GJ2rriSAI/NE6D QTKcxQSAKUGPN7SrUOms+i9ht+vVo6+e8w/QD9EfGRsjxiBBQdLsnJLZxmHB7cwXI/rgUU6j 5UADax3w1OE527lXo+iTy5I6hZ8aFRc8hC5ybiwGDPTC104HOG80fnazQNdXjnQlp1LFo8ZD S6VaQRASkAB7D/IEr5rcP2OMvBi6CXhfXZz/+Db4/q9oiDo+vbw6PTu6MtgalCia3eLxc66n mMQX3YYs/karturmgsJVoaSvp17O17bV2a1qziHJRU1bCxcOCVfVzrJhdWKAsfFOJniNNoRr tNW2XiYcIxDMx8n/zGPewSgIwswilqZw9E5wD8YikyHL5BmTScWaSIxnmIcZLMBLE004jhuK Zujd6QhtYpXXXJM9xvl8yCzj4rFGSBMCQanZ4Tv7GPegTqsTbCjngq+cn0Tj6dvS3CBDKkNz j2oKROjDGhDa5KkHgYdGvw9owSOL39NcHCDsXNicQELiji4lbqeIJWaCm+ghTN0dw1rYQCDd kFKPXQNZG3FQMxvC1E65fzU0UnB4ENFGKqKcwIxv4eLY5TspWlR3DxHK3HcyBzXDbxo1xWn2 E+YsC6VEi7YDvSEnK32cZLzbnOvfoU5Rv9/h90zusEPSFy3lewH4PfS7h6QLkRDchcxCv4jn qUpmn3s/Ys7CGjypV7mj9UpSCLjb0ux11WrTeSPjCCH9DP3cY/xvMiOC8gEzpmUksFl8WVos vPqapg0iREBxKfifzxLXQzBz0+ypvdLoOqIDioeAZhu3JnIazHPN1HBDaVNo3gPKDyDgtncc JDxLrymeAI784fjOMaAyUeeVjQYYfCLgSlyRNwTV6VO0PGpL6C/2++x7fZqlKeJmrGoKpmRK 2Akfkv4cYWoLs811SpeTmIP/vZm+SYaxzvP4uhHwNUQ55jD9eoZ4lMJh5GnSRxkL3C/DO5gA xKHAPwmEuH+Nkf89VLORPZ/vEyLrTD5tp2RG0KeDkATwIsvmtDQEk2XI3EfqrN11Ss/0vh19 cHRndb5oCCM/fIULDDtOA5hNwKSpq9Z8AYUdQ4PhPtylcjR/fC7RykUHr+R0fuf0x3WHcDmG jeeB32ux+eZZh2duMbEFF9mLQlUOa1Gv+04btj/+NWGm1ljq/cmTIjithVnNhakXhirfElSi 282KIReLqxW8OPTKqotTYPxaKOEHuh0S2K/AIDE1imZOOG+RgXRsOUr0Lp385QFKIxy1RocT 0/FRKmbc+/FoMrur5mFOLzuXp2/evj7pXJy8xknhiBqZoeYLQaCWtEd/9y5cq4mVvLe0PTES 3f4ONkFkwn4YlG6kxATbIbV4h5dCo0wUE1NtpCkGnYoA/4YMf4DxE1qLk4kXBq9JK5lMCILI GMGV0VjJnR5yMtporC5oGIGF6TmBsR/7xIcNlWNjXcduKa4IYmKNe1qB4Mgk5NRI+WC7XrJh dG7Bili+cLkCpSrcP+LddfYdMuEy7y+CtnPM+bsNNIm27cHmp8+C3A72gwJsi24Z2dCS6jHj /aaKdsSOcWYJgf3TlKfviedNwpW/cIejp6p8pJ5biAzZ0b/TR7UCYXvOL/Is4V/ovJlr+CO7 HlncbxQ1UTx2F6KkWhShOwiW4LwrsJ8/steN6yLCXLSprbjo7jW3kZfXuPbg1Rz4oSC6xiwH M7QjN9NBk80e0Tj7qOk7RXHlVFgy6T7nnpv4Xw3wt1vsGTL4tXxnn7vSVHBBXAQaXUrkg16c DN0a/YQYvkzMbjpqFjH6hpsou5EoR1dLqWiSAQLdsZLBkZ841WafaiLunWq5jW263esE+Xcr BUm+jVaJSikZb06y/xluMhxpN7aapOIbUSDt9qNHj9sHvfhxq7XzaLu31R5sdbdKFEglNTh6 o5K3ZPPe291GQzL9S7pzLXA+jq+QmT5m67WEFjOKUQb3BdAfzHenJmAQzdbQA+f89Az1zmLd bsGf1qExCs7PMJPIpymKuyg6tPAl/Tg8O/7v8VquNvqPCsHsomOK/okeZ+iBCz+TrD9NJ5O4 X6sFh5dG0VCobL2/ji2O77ADtzC3VJxoj2oa6aOm99Gg7CPgbI1KFD+pP+yTRvGbUdk3jg40 N5qXF+dvcrPs+RDQ7g68T/7yw8nFSeDM/fq32Xqu2vOL45ML1Ki0n641ZHs8JrvZ9t7+VqO9 /fn7A8lBNpv2RpPw7Z9B+KD7MGSP50aQNIJHtQbiFtcETZq/+rv2jnW4b/988mnyPaXHebi6 uVTjvOKGxd7bx8d+H+vSx/q9fVygog6kE4H8VVlLDQ/Pt1lAa4/QiwvIyyzqNklrEM9KSIz/ VvXUB9vd9mB3fydqtbqDaP8g2tvbai8gM7laSkhNrgTtp932IyI3/C/aqKBkR0qhh4W7jdA4 xW4IlAmP/4TZwe1hDCJvWAwN144uTg6vTnBu0YKGCsGjS/hF70HKrdGmwoQgr0+uTjp/Ob36 IVwLsfj5GS/Eg6uE5+FajawvuXqt+abc9LJ0cfiNm+fz+7dRWysdeWHQP8RRf+m5RCymwvYT n6VNx7MJmLwZwkLL1lhQQm+7R9vRVtQ+eLTVakURbMTH0WBrp7gNF9Vkt+KiUmQs2WZbCfxD xG01+DvypbMsnU97QCheBOs5VNr1BhWYRZRxEgvgJpWnaIehZ1vrQPcCemaSBsHjRMohIm7a l0fBrw20nfzBQ2ZGH/kuBuXH0x4FlrAiAuPwUancEPxSdo//BEMu67fWVuwzfV3W6fpSne5S px/YZtU8LdckzxPwdH9AN3cgFSNUZc/i63R6V7JqyEKXdAG+AkoymtjlMV0x7zBJW1yTj+/p 1YB6tcxBQGCIxQdBS8hB2Il7ve24vd3babUe7T3e3o0G3a1oqYNgalp4EEwpPAi7B4/Q961O /+5ssf8jSst4h5edAwK1hQmBIh9S1AkMuVjGz4Ar53ASu9mkQlgNdiUoP1xQAvpb3aKclr8H acJLsLu1tb3eYK6EHpxunvOuyvXewUgv9tHbufKx11PJjlvooVurHAqnZzsP6xkIZcWumZbL uuWfuIquYbXFvu0+rG+IN12+3vJV5XQWOk3BC+NoaD4t6zS1V+z13sN6/fBd+rmTbHZn3e3x zu72LldqO+0nZzT++eR/fc/O5SLUdfR6xPdAELb4UZIx3CWTM3ddstg8XGYq2O63xFxogeHQ K/N3p1ADFnu3QYxcB51qGgPK6iH//Oo2Mkr7WkHSSPX/eUVwVqSI0wCQy4ZgvnNuJZs61Xd5 /7Vsx1WkZ9T7xq5l+2B739t9VoXwxJH+M7i7M9bNkoIAZaRN6qShge7iYiXkpQU10KfVa4Q2 jeEQbQO4SKY2d+lgtvdLThwMYX25eyrnil59feQKyq3V293rPe4+ancHrVa8u3swOIgH8f5S t1a+woWXV74w32F8g7FccXR4dfj6/FWYL9zY2dlvN9yIowvRaZ/2a0YYZomYgMM5yAVjAVag LqurBFHa6jgpZs688rxsQws9XzPVuBcb1uT+5sTmboF8FfUVP4vHJ4wuYh0rkpNCi3/AaL0B ipi/ool/hJbxTn5i2EX0ETHEj8Q9FHdQPx5UfxRs4KuSuqCtP8CXCNBt/RnP1E0D+rreXy8r 4jpQQqHBOnDGhUIwSFyf9dE6tUOjkzWDKTj5+e355Unn6rxz9Pr05AwBt44JC6bEx6tka+GY F3NqWkJFlu7jx3tb/d2dg1Zrv33Q395/3OuWSM6Lalq42U0p8vOEtUFfV/invSN8GhSQ1Ahl fBNzFVAG8Z2TD+XsHF/vUhklNVjA9EER2F7XY8MW4zezdBpdc+WfTE29dChGKbmrSq70NlQA PzvZ3aibMnF7+0qwu89Pj/PXp2eD1tuTC0GDZfcmd5BS0cOLZpt/d+8o4Rdx8fq1ShT0+JLL cZaOMiZSPvKnPsfMFac9x1FJJe6U57mXZaa7vmC6nTtsZ7tsso+PXx+dv3lzeHbM8x24863c Gkf44pU2ichNOEDQu7g3i/tH6WgUYVdl1T2hoU/qHX7vrgMmxT5/2Xl7fnp2dXKRX5PZwvuK 68s2P0S9+XxUvKby7+WkbkVbe+24t/UobrUOevEg2on6WyVxB9X1lJzTQhnSc22RRzr+w1pT IIowi8EHXAiJ14ENMCQ3bNLINoILtMWQV5P1QUSFl/hNsyb1J2rlLXACGNg4oX+tFyHMNGaE Y/z/MW7BeNpBRzv+mBWKhxSadjlDB4nru6CbyV+oDpJuUgXZrI+kR3ob+gFgxDWhLku+wI7q uHT/UpjVBoUCo6FR/Qw01gjL6SNxNIVa9RItvkHebjCNem41WYSKQ/ZM9crb+Bq6izYpZJmd ZkdJ1tukD9F7s8dWb80gRF5scW8YiUug/cx8QaH4OlPSXDQedqawDdJRB7s4C3GhoenKLYyL OoIbegobKCsyWvnXsoHjxyABdXejrR5cNXsHj6LtONorsQVVVlPcv4UitH3bdMngP972dcOX OVr3ntBuZqiCIBexrU+L8drmVUXctrPlip3Jx5pX+9065pfSPBsa0lgIMl8p7bR9eV+4uZ/B Q428fcXbskeQKAUuSec6Qm+ADgLHxOEr+kEYOW/hTyQBs5tGUD3z+eD2gGgHfsvPiIR0uI/y yVGaSa63Dund55MOdqThvqDzxY+rN7kTbIujgi3cF3FLL5XCxl/mE40i6z7e6fUe7e+DrPFo t9fb7x3EvQXUfKmqiwdkqc9ImUwkH/63vefyzkBe572ZieqC2RynwqxP0oyhwXhAJC5yfkfU AI9idiBGavNrcNmLgCidUvZncrXHCI2acvqRVIMrCvKB33ZwrBgyuOQuTMFYMmkz5od143Uy qnkpjOUr1JVkMgbH7I1PS2QVGTfd/DpwYWqFHaBiHAmnTMDTfDlmDShZGNThjegp2/rZNaiZ pVMCM8gtQPAG317Cy8v5BLOjoTwDrBGLjiT17O34Uo98iN/gvGPhoCQLeWCTkGtAoA6a7r2n tHxSCd1GcsTf/HR2bLw2FHPBhgyR4FkM1eWQ5cckpj32yfObn45dsdHU6fHwXO09YcvKB5CV obwes85hvlm3mEPRluod8J2mXmldnHgDQ/htxiMXqGKZcRk/x8Ajw+iEUBni7n5TwlzUy6cK e+TMkJujqbwhp6ry8VXPTN1OcW6P85Ho4JHooO8oT08/GRVuGqcg+nMb1KmwWGUmEeJYGMpZ EADkZTGYokF/GVlEgk9BYN0L6vvtxo67ZbEip22C7ZvG2D71FeuXxCV6gmC5tEm04eTedRsl k5C5w61ukXEBfFPzgtZXlm/b4ZJXtMGMCLqJDeLKaC2gicD9CfXKc4ZBLqmMMgGbujivfSS5 pQP43u1Sls0n7DzlboCNLruqI3af15nb+C7XnUjz5qB/Zgc2FCKONQL5hf/wa5zCcIO7WAu8 Sv0adXySftIbrCdhbNAh77ATUNahdOxh/iB7XzmrQ5/imsMFTireZYgFbDF6eAzycDDjJM2l R8IUl0qFplCvpb/54awU0NoKyd2QTJzxDevDt/nix5eDatRL2eoHwTgppUTm/YGATs6L5aGd 3Pa+PshT1XsD9/S0XPd4herL4w4rK0m1cXb4uvMDciTL8Mn2z0WssVtKdRvb/XY86O7t9lut /h7iKTxqb28vxQ17tS1kgL2SrI1kZWSjvUu6SAfeJq8X8VBtxmjr2TTe5ASpo+Gjx/H1NCZB XN2vLfaViTmxOYooUydnxaHcOQrPC6zrR/6tGc5yKGwauOnrly0q08rKFkPhCb5VNCM/36pP 3h5eXJ0evl5ZaRPnyqkSA4vdV/YNwu6trGyTczQwjk7pvG4ccxgen745Obs8PT+7XNlnwLBP Dvtt04myrhs54jeurrTcPAFlcSEf7yP20f6jxu52CQvss25Utfrmc3QglYo/4erqTKPHY0AU mm0QOhz47nzgVrcSpoMB0Lx0kOMkGwHGEGW1oK6ZE+dw9He20Z+JJCACwJmlnI2VQxmdPL9o u2E+qTj7Rz/BjL46PQoq/tv6dNI+fLTXPtrmiZ7eulV78TJEJDYWNoUJvjrfH15Se7Q9gMok PWv7NeCJNCxcV0YuS8a2TDgCYRvDlKbdZDbFxC689rXyRv3Mlzqu/fbBtgNf+CavS6dG0Glv BOIkJxThJMpuLDa0jsCaIK5+RJdykoo1JNuirjWDpBW34KRy72kn1BSK0EVj8javTd4tIWqC 7uykuUWnJxSzaNkzPcX5Hcs4nSzsakyEBTbjeARTpQb0Od1ioVS/zEGn+V9j5KYT7WalWUck 5OuBcoBRt7lUQZjkYkTqHLkbJV4Z0FPdI2VWEJjzOKMc7hhBisA+dPy8ZSmfK7yOea74iCH4 5nXSk/7Q3zbvEOVcnvIItDhWKaVpM0ubvPa09Wv+B4Kql1ci2I4KUKGhIPUVywwhQIsIKGwu dUOQ9QV/BKIIax/i7JcyUvqOvj8/PaZ9iBKVQJ3Q1xbudWPD7XDFxMpC4Wx6YtliQZ8gFlFk GonW+EESc+HrxWJksTFfEPwe2WQ1iQP7Zli5LNSnGOpIqsSibsLgwd2Di4ZXzsE28Q47u2zI LNMxewNdnhG1VvxKxtAWKTCG9pXDjpepass4Zp3qB3PN1UxxJVe8mC1ehi9exBjndCSLdNVk LrqJMtGLpoMOxjCEPBxWo7BHN5LMBDgzCnGw3xfFBcEx68aZC1/k1Wh1AL4AiJJWeXOV/LcY eBRIJc94518Lx73X6+32Bu29eLvVOni8P9jZih/vL7D7F6opstqFImxL5BAM+Gc/b0okowAu PbkOxcMyiBGOtheQ87zh6nOhYWT2iwAxUnRjcg0L4qntqltcDh/Fpag0eFMTRmR1OOqKt+AC ogD7hScEPyLdhmJmStiWW9KT/JB64qVfYvDAdEIgzSAcFloJJmQV3+wh6EPcIQ+wzjC5jVvo 8Nd96BeKibq3v73dbm8/3mq1dnv70V63/zguEfAeUrPdgQ/5igM5djiOQ3Tmp9jHOHuyGhxR KDExC8AngojxZJVYz7XebDhrd6IOxRqvBUc/nBz9KQglU0VUC14E28DY2/tGgInh+yZ9P4Fl SnprLaqoAywO1NWl9V5zkLYa3qVBQTNRI+hy2Ix+ie4Sn1kjIRJXVQt36eXJ65Ojq6DXAlpK AVA4jGzeRQs/h06ROT/QEC7nWQN/82In9Dec2QyY0oBjt+hXyrFb+nL9yRNYNC5HqWe677lE 0qKKTGwddKjiBT0wQWE6FLdiExZWMqinvLjynP7+h3kJf7pDXvbcpJNph+OE7z0wflE5KY93 tve3Dva6jwatVrS9Gx9093Z2DpY9Kbkq7zsiueJ4NvaBs2m3QZrGf0mclgVsueEDFEYBCwAT iH6FQJM6M9R7yBxS2IH33z+McAp/JvKZEeqlCIuh933meRcu9VndC095QGu9pD/NjwME1fvG 9mk0DPJF7pmSqOIzZAWi3oxVqHeonnjgZxWtNcODgBFc62F7S/4ECgD7ayP3Hx3mdKzQZfnX 9M3rNL1lJKbhML5GPEQWAEEO8r8eJPGwXxZdXL5BjX/zvYfJK6lqxb3daGe/3Y/6cJbi/s42 MDw7JUb2ZWq87yj5pcnMuY+XDP0v/Dx8fQV06Orw+9cnQdRtB8cX52+Do/PXP74BYoyEqGs3 2Cy+hpX7h7eizp+4MR9QeIlLCToEd0eP+Y97LqQu8Kd8AcBX+btoyYrsPeTXxhvwZIywEW6Q OwIWSKC0BLwLsJW5stChGWm43ky+o6+JH6Yyr0//dBKsQ3vfrj8VJpXjOrckrNPWicx3w/OW xivjnkbMfWQ+ci4kXGqp2Fs05z+3ufISNE/yX735uf/BLvh7vzH4lfbJ39d2GsHu2pNgZ6vd CPDHI/Nj1/2BxczvX2EDYB2N0a9fUEcQtpECKQH6ATEKDq/hgF0DA9cgfJJbSmNkMZaA556m Hzivlofxxgv6mHEB6J9//YIutaRfaVGrF3Z7b2/Lrsr+1pZdlfajnW1vWTAwZ6ticT+jntwC T4YYZcII3gRoVL7aXIDAbghfi5eeaSvIkzsIeg//bJNgefLz29eHp2dBeHR+eXUZnL98Ca2F e/Zmuzi5PLkKxM9xEl3H5AAGchl0SLV92Wqdg4eFUCvPkAUhU7oB3m/TdoC41Q330XZw9uOb k4vTI3kaBadnWqJbLL4THEMr8qjnlO1T2dU6Coxl/SXQke2npp+nZ8cnP9t+dqJuB5NpAWV1 +o7Mfm3RN72Kj4A413iGuB+sYgzHqZkx4B9Ozy5PLq5wDOcl3zd0zmo8QD2Lo7QfJo0dRCXg P3fb9s8d++fjGp/O63iMgGkxOabEWdhu7MHWqgVZmGAXD88OX//1fzsrBs/KtkRd29/gam2H +bRHOMEkWnTxwLfhhqiXndU//3hy8dcA6j8rP8qfc4ChJdYGkcoRnebGlM5cu0g9uYgZ7uoo HfefBGFIHa5Rj0Pp8pMnyGzWeMKbL1THxGJusVpdf2egXHKpJsJd5SO/0oSzwCe4rhWU8p7Z /9wFMMvgzBQToeJhKSzMsnPGz2iANH/bdv7gnLHSwuF9zKm1WAZOb9huGLpSvWGo3KPwn+Px n+Pxf8LxAH7CdQWwdtgGuTeI2U0vp9X61cWPZ0d4etyNT6JX9XF6+mVXGnTR3F579s/tPfgz +T3eZYt3y2fslN94h+R2xefNzDMzM8/+/WbmmTMzz776zDwPtnRqniPKyb/Z3CC6lZkcGsDX nJ3/UOMvPXd77rmT+YOn/97zBwMoPZE6f/j+a53OXe906gzC8+opXGYSv2QWv+JEwjjKj6+Z SizxH8b5YUvzfyPjvNQV/3ua8AXX+tea8EWcw5dP+HKcw/3E6DMp0edO+yKO4atN/EK25J8u JP6Odv1iMvOSchc9UR5k+QX5Asqz989mcn5Hq1HFyBRWAwt+tdVY0OpXWI3PYJl+dxSqgikq LgsW/Xrrsqhhd2WQAWPXqRsCZU8HwXysOQoY1Zpdq/tpnBES6DTOJGUNamtcts21lNvV5Kdi MO8HGJUQ/HR4cfTD4UX4aLf2H7bsn8+WlSy6u9S0wtnnLnGPl5jSHye9/2jAFmjA/iOj/D4O Q6VymsOAKH5GI4T+5dpqZ8Th0eHlCe6BM0eFTXvhCp9Rv09eQxHn7cnZca2xqI49qaK8jr1l qtjeW1QFvs1Xkcjf/1wt++kld45Pjvz696I00mmz0fX3V9FZlc6PMGGfP1sPn6z75uqLpyrw WDF9AVO48++lqnrAhv49XQaLV+arXAaLzskXC/GffU7+fRah9HgsuzhfsDaOqLLIDwxak5Bd DJGs9AZj7A7jFBaRz9Yv74y7l7iCmSfk4PXLO/bqKr2tTY3qdVV1Vx9eXBz+9ZdRfy8Mk028 iYUbaQT2WbNd9rRunr5rFCp0PhSOG39vNQLTStnjer78opobAf3lfPvuAbf1IgLJc1dBJ7EN /7xJ+TKKaV+5mwEjBCu3AoUPmo3w/fn5a7MNnB89+rFoA3A99y1/KLwPMkboWyC/d3O/9/n3 4vkl38z8BOd9A7FbZU6FTn/v/7roXpgb7j0LTNUsvbxYunRx5UUJca4izdxNpc9Ml4keLzK1 LWVs+1Jz2zIUusMb1yW73iCWJr3uMi6UlDA1lSMsOT97+vP+m3KZxaD0aUsuyG9qP76HqXSP T/nSFCdxgBA9+VnMXZ8hTUAtt5oun/nFE4t//c52O8/VOSY0XjTbRZnnIdPt/u4tMf30d7f2 2yxC1yzFf3Y4PenV/CleMo4MFZLLhmXmymoEc3u3fdDf7fa2W61o71H/UW9ve6ckYH65Ou+L JsuXJ5QjzHFZh/89sFGZkzbCi5K6FZXqyTgI13vrjfU+/N9knWePy1DkE84gRT+drP/3f3e+ XcfYl/bBbvAPL4oTnu7sPGrLUydOZmd3a5ufusFcsG4IhM8vdP2x5u02xhpmo+vpatPSfDcm A0MvotuY0gQTUjwhk0wQDYIiQCKMehzG40gwSxSdJZ1Pg/TjGJGIYhMCBuNMMVDZGW+UURGC lggm2+5zqpAxJxbvIUwGaIP74FfZwhUKmYxwUS+K+l1Mr7Adxbu7O+39g5KUIvdUVrFdigUp +Gl/G2Nj8J/2wVZlbEyOECFoAyoro6EfYLuEhXlRcM3vOLzmngCbf26Izb9FkE25junrGRt+ C++H31Lj9m87H/8kN/p/tSP973V9ip5pX9Pl6rfZNV/fE+Y38uf4v/HA/2dD/eYb6l/t3fI1 N9k/13Hja/b8tz5+/0Ir/n/s+J9nx/+6m6LK9Pnb2vT+fe6sf9X8LBYw/xl2u/9Y7j7Pcvcb 2e4WWu9+U/vd79WC96U2vK9hxfsN7HgLLHlfzZb3Ve1QX9328rXtCHA2Vrdb7cet7dXV/x+o HWe5nnICAA== --------------193EE1185FB488F8B80DD9DE Content-Type: application/gzip; name="0002-multivariate-histograms-20190117.patch.gz" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="0002-multivariate-histograms-20190117.patch.gz" H4sICKjhQFwAAzAwMDItbXVsdGl2YXJpYXRlLWhpc3RvZ3JhbXMtMjAxOTAxMTcucGF0Y2gA zDxrc9u4rp/jX8Hp3HNq17ast+wmzaxv4uzmTh69SbqPs7OToSU60VYPV5KTZrv97xcgqadl J2m7uzfTxhZFgAAIgABI5iiJQ8JUNjbUOVN1w53oluOZlLrqZLzwPNVxFu5EcxxHpZScxhG5 ZEuiOURVX/N/RFdVrXMEaF6TqzikKfkxjryEkr0Mn77TI+/DikJDlCluHO53DmnGXpOfmDcg uk0OmQsYtDHRtdea/lq3SF/VVLVzuZr/ztzsNfn17fTq4Aeij/TfSLgKMv+OJj6gILd+msU3 CQ3TTmc4HHaIF7ujNIH/N2EwcmlGg/gmVfCJtPz8Cf81k/SbgItV5G4EygHHQGYDbsmSRZyE m0ERzlLX4QIapRnNNlIKcJpqr8ElbDFyEwaSuEZwEIbv1nDgePqEM4hAc+q+Z5GXC2aUPqQZ C6/vfHYPYB+COqGahgPW4OIwpJGXjjixbuilirvOIMxoc8Ao9lg6ilcZSnYNKAck+hpgvMz8 0P+DJaNV5gtBAfFVBAhoWmuAS5qkAMU/rhEWqK2Pm49YhyvlODql79nCD9jTKK0AXsymh6ez dhbNLQMKOKVQ6hLOUIHDzYAeW0ILi1yfVYX7OKXsY4aA3rXQPrcE1G11G2BBY1Om+mQC09/8 2YgndO82acPEXCMA5zEdUS8bJauA8acGNNdbtSnjEi5lQasK5vqeD+hHoyUYBEg2dRN/ztqI LGU8WQfM6HwI5rIMWNYO3JgcP3KDlccK01zeXLs0zRSPZlvVqAVumcTuBjh9G1wxLdegFspt k9CNcNnDkm2i02nCCU+QsADGiqNylHU4EIyiKJu19dqPMpZENMiR8Dm0mgNW4Cs+8rYxoG2s zYRQmkJhNlHKB0RCE3aTsBSpXMKixbzcM4MmBOw68N8zBRxgy9RnLM3WoeNlcp3SyM8ecjAJ aDwCKISDU1jAcYPWtUcAcR6bQ24bEdW8HKy2fIgVyxB2YZgE3WhK3Fsa3eCab5qWQfwIHDQq Qdrt9wZgtQ7xGJgLbxn2OkTIj4SgMfBWtU3zqY7zObAVT9bpeP5iQYbDGz8jdLQllphvednx QUc/Em2hU9NyTVNXFM2bW2xhuepcEoPBytYROuA0t4/y3XdkaFuaNRiTPv+cEGi6PLiYng4v f5gOdcv+r72EwYrpMtTA/X8H2a4PFsMNj7jxKsr+fZPt7o2qnV43QDrFhE4jQpOEPgBklFE/ 8qMb+ArGTCDkIdktIyxCII8UwiXvQRTpbonjjga+h79XAEYT9rp8tRdw2oJ9b2+Uf+WYo6GH yCI3KxGng85wDXDRAESzRVZpQIr18aGKg0Ao04InbOAJ4zQjGPmA1CTp3dODH3skADwVfJ3+ 15PUguNLyRHsreO7beAro40KKznQiEVZ8rDfyR+T+B4epO6Zk4GNumepA3C7f6HybSJDMLfH nySje6LnXpolKzdb+Czw9tPsY8Hk3qj6pkDcgEZPuA8rWwWMN23q395cCP+HHM2AgMvzwQj+ ADOBLEmSGdGwOVzlBeHra4G7PpaURb8jn7J57ElBwcNNEq+W/GlvxJeh/S0erkx65hteSM82 H6uutaCTsa0o47HjeoZlGu4Wz1YiaPFq5UvUKl0zTAfVSnyZaFyvZiezgysSKq/I0cX5KWnG KgPJLwT7VHKbwpKmSx3Z4w/E9968yA0wHZbKPizE/kJIdS/zMxDVcZTiwoh+rkwzQY78JUic d+USAb0OiwlZJn5IYYLq85m35r2AJMiQm/2u5ytYn7KU0y/fi3FG1YFEk+CW49vL+dqArXhN Epatkgicr3AX8YLQACZcdBTIADoB9fTB34tkG+LYYBVGpRS4aylQoetfxEEQ34slAfumryWV KCFMiWkg9U/yL1QTe6dvXhgvStMBbNQrTadm3IVlnYFdNI2ueHkF5rLx5SGP55cojLU+uS3l T3VS9qRpbaescLN8vkpXu5Eg4WsglN3gYoqOwvZgwlDegDXEGcLvpQMv5nsrY49RHvoRrCvp k2nPQC9//e0x8kE9WELm4PhBqyFNzTlpUv+1xNOPfwHxq+Xy7yA+WgVBGkfBw5PJn8dxwGj0 OAeLgN6k4ALhyV88oKEWo569OzkpBxzi+MTzQxal6Ci/Xpl4PpX6d+zv4Or+1ndvyZqyQaxJ KnR8rYr9AyytqeC3ZGmRsA8rjEWfzI8Xr8Cdk2XCXD/lzvQRtvIRhOn46be2HQ/1NfvrGJD4 N5JPuiWLI3KHqyDrfSVPAvO1QPaXcSbQb2EMwgBG01XC+6QQuz7GVxGG5jFqHoiKiGDUEhLk wdt6bHMFfvbp8U3+jbg0InNGVimEMlh74czxqAQiNA4e8LTyBoZ5PL4sZJb/tNHRrSYaPRKS n36YXcwgnvqIcTx5Q16mWZYaL3eBhtEaEXKMH0VKJxeYjZlIzl88x1wceORue4EbOQCXCz7X mLXiXj0lKvJBEbwp9RmphNP9MrjWMLiG7+4tXQL0tsSitisy3/xOphemaniG7TqmoygLlzLm zceGvSW9qOFoyTBq7zHJ0AxLwxyDf1r201OMao4h5WDkieiefBI6LrKE09a9qkYOUdN2sif3 WPanZ9OTX/4z28s3XfZJSB8gWk9jMEw/8CpJCUy+iNSXYPcyAM91loLFYhWa8OIp+gPULRDJ WlQPkXy8hkYh/7OCPAEtSCLMqz0x/Ep4bsq1tVp4wNcezSgBdwJ4Al5elBoK0NwZ5OUSAJVD EQpLHMgKljwgiHH0PAkpUYO644Yg8diCK/29n9226Xubbsc86FdyH1R1N/UZOIhh6Y1WnI5b 7kfv/HiVggApCnLQiPyQI0q4K0Nm/nP8VpTFJLbQv7kF+cXx+9wNVbOlLkyOH9AEJAPCPz34 kadlWLspPZmfo8L1xcfUDIf0ZXYq5rMkB6tz4JzT3gZfd3Axm17NyOXV9Or48ur44JKgUzJJ t+K5zs+A4AgseeUBu1ipx2/CMP7wl5y9XUQvdbTe+Ld6U/MlH5MI1/GnFDlPYPh32SKyAtlS hNnwvRqf4mMltoPHcklHPHkIwJHU1mbwAEPxk3+WP9tb+ptfPavnUApVBdI+WYo+GQw1x1Zs 5zMS+0nXFEODJstWJuPP2LIYLD5LeXzKBtnnfCqqr4T8VEVVNd12hCw1XTFNx1F1KVr+WtVU XRKgIQZMKQb4qxhivaUYdJ2A+iMfwdE4AUiHg/TYqpMTgIOyoWpLAvRSAmNbcbTPAqfuKOYY mnTFMj+T50kgZ1KOCA/aeKKZVQlY+tiRBBiIwZgojllSIFuQJkuxtecSwKdAzaeATJSJoVqO 05iCnACTDzdWLKtUAkEASkDTDcUyvkAHVN0wCgnottkkYDzOdcDiw1mKNa5LwFLGFm/RjC+R gKoVBKA6q/rYJO1KaFckMIHhxsUUqAa0gHZYX6gDeikBQ3fMcV0C1kQS4JRKCOM7Vq6EY5gM aDJBFb6aANUxNMuqEqA7hikJQMI+mZpiGrUpgBYkAFqeL4HGFOAkwHiFHyCO4oAZWpKAieTX sus6oCoaEvAlElhTQs1yJpZdlYAGrkkQoHFPaJiga3UrALVEI1AVx/76KbBUza5ZgTGRfkBR INToGg7QAalR2muN+TnYtljkOHsJcZF356c8voAYQW5stu3ayOgoFZEW32YJ537Et1xawq3s lma8ikDdbEUDAOHJko9wkedzqCISEyVfDDx4OaIIblIGQ4c0j0MwuolW4RxCN3gSgR5GgQlL MbCEiAfQz6lH+IknhZBzRH4PaPKogGc9m2Ng98ENZPHjdwxM72kKsWUzqiOV6Lxf3xCopi9b Upb6gaxmQlF7K9MW1aIqowvTwV0R1WELRzU1ti1tqWNpS1zqPfiu24TvjuCHpumYucx+fnsy PT4jXSmsAbk6Pj0++56cHx318rxGhmKZDKIowf24N8SckOnZIZkT3IuDp13M6bZsn4R35WZJ Wt8tKfa41rZIqvsU1E3i6CHch0h3b5Q/5DGvH2VJ7K1coYR7HxO2gFcRbtjD0O7dkPd7MdqX unIfJ+/JHUseyD0LAq6cuW7zxICbAQTS7J4UW8hix7TQZoFoHQphanusCjnGanucQmZEU8TQ zotAyAkVtiUIpK67StBuIcdJ4o8NiwGTDjiJiT9fVbKUUqYDMk98tsDKrDyQ1CYjcDTD0h6H MmGpSAwpChmNMvQk1PPwGIdMZ25uhy5NPHAXAca4yGSjDrA2m9MABLK6uRWb/2Iwkffds5d3 rHAnW2aSeHGeKUVxRj6sxOgUN6haaRoAbl77yECq3BeiU6GlPxTIIDvKGLiZvIyyWe8U8pNM Iis+FYjm+9BSbA/xiiff4AphKLTKR0tKhxfnb5tJlr67Kf0ymukXhQmXJrtbpln4/cvM/Q3E 5cLS4dvuegK2/vO/72YXvxAY66yznsF83Q8Mf8k+kEucRjCCjJCuG6fZG1w/FUWD8EwVi+Yb cJ5glF52+2bcI12xTpVvIKlewrceZ+fIDyDRf026Xc5tj7Pb5fz2RI8LgCMXLIzvQC3nDwXE ZKKqWypyP/Hye8pYmIJ++mjD0pgVcgQuR9RBqkstap08mVHUJqRZQhMq0pyh80JtBk33A8g3 M0TIyaoXCCD9TB426Ng3UAX1KbpQqsKjXb+xrnwLTXm6nqiPKAqMsVVTrnj5HKtYoAPeiodr 1epaQt33OKcJnoKraMlAbvGE9D00+5l0YeEyTlNfhn0ec30PXFR8T7IVOvWi9oWe182qCljX v4SVvl/uGIvaxWPuXcSeWG+sEiJqj9sWcr620uppAT+SCzZnE934thDv3ucnEnAYunUgiTSX Az8YJSs29YW+QgxXI77khvIMG3CcyXVCIEz5QqY83a8bG/26Sbqw2g3I3+jcn2LR/5RBP8Oc /3Fj5uEe1q9RWx+JIbiSlSqGlpbxNI0f8qJSrQA7r6ujXVdPSaaPGeJltUb8SAidYbZVtVdZ JxaYKt5olYrAqbJhFuDhzSdvtQ2qNs33GB6k/cu+/HBR7dAQFpWFvcodQD4wnccrSV+5vT0o aq/8QZZZWeZCvHbLIoyjAx/IBQ4b5fgkljHg3h1N+AE6bqN7o/xxwOO5FEJX8DAY0qVxCDku iuP/30ZhUdjOi9p/FsXsLy1kF2XsJxSx2759YdF6W8FaHaiyQmYM8oLtc8oyoiYrz9UrtlGr ihnOJC9K8eK0JUaDb5PJwNIeq4RmGweDD8OEn7JZn6iGblQL0eogL7Tp9sBwnll2rQ2mT3TH qRYcDVOz7E6fV5qwyebs2erAsj9L9mz9y9jT+YiOpY+tanlLty1bytLWRTWN8yek+qXsicHG ztioFBexXc+LeTavqY+1wVgMNnYGk8njg2UbBtOAM9uuFe40zRgDZ13b3FKuqyUEt7iw8Boa D7K41wdoaeID4ecqToyHfehk5iy7Z+DCtH/JwAwWD/1fijjoUD2dXBzEqzby7vVu+ZG3aqNc c3i8WER8Nf9aw1E5eVYbTHBZKfnlpRJ5CUBUSxC6OIsuY8wbcDyRHLf3DVc4viULGXgESZdY BFJ+hLWsWQqUcmEopgPFlq5CeVy1Mi2yRACLkcvXgDjCag9mdh4DFoN8Jx0ywMriWPp0N6Cr lCF11/CBW7J3/BxSy5mUPA7ew+swYml69E4KIMo7t0ixdjKjejBDVO00XrWT4uJHntMhtK8S oPDFtiMbWy6Wzp/aU9ZFF2ObWaauG46isLlrzscL29K21EW3YGypkW7pjfXSsTlwSB9+j7FW uh6l/0qOj8jZ+RWZ/Qwtl+Q3Ur2DQGBy0xQkCBKHGIElL/bLQa4jWlxQKE5w5oXG8uBBnt2J 2zHphvss/LJGE1v1WudmhOWlkhzB5usulWsl7l3lcEQNY34nBhOqYf2mCTfC4i7Cpg6NodpO Y1R3EQpOyvBUyVk5lqfShJVhcBuHfpbhJTK0+nS1XMZJVgunxa0j9Mc5Enmjz8vz37Utk2K4 I37BhmfKRYA6EKZfL2LWbSq/mPhitC8OGE0sfr5oAmt+rUifJ3uNVE6XEeBaGqP3xO0pSTg/ ZcI5F9Uhnxdyb1jEeHEZVhYQb6XWhJstcSZSbiHT4gAT9x6lCz4Q20riGEv1Wkpm1C+jiHT7 PgYhgmO+CfA+WMKvczJx2yg/f9SeeWMBHaGr1wQ2HlK5mv73CSTGBunKlRL+L4KY5nH2PH/u 9Hv8GMjx2eXs4oocn12dI1gersde1x9gwtcbVB9IH+/ivyLdhAwhBrB6Yja6rQm0xOUPcB33 4rDbI4non4v/Gu/2sLSrcex8gLTr91qw9cgijjnBLWWDtVpwF+sFkrbMqJ27kY/gQ9MQzQGS 3CSgy7KQsEHfjFLfcCMIxKAWSse3grAhRx3FX4zXbOK1Bd7WrdByYePnSdmiupqVj7VF60l/ 1GD+pG75cmV6Ezbx6AKWK4dqtqFqhk7ry9WT0Im16klducvQdOEz8FNz0GmcTM++fzf9fob6 PLsAiXdAUS6OQd7Hp6fvhHG8nV5MT05mJ+RyejTrkOklefk7BHLza3G79iXu6OVadn5BLmYw fwczcvTu7ODq+PwM5d6aoZZmW309IDEe+MOdOnYDnuZwdjR9d3JF1Ebie/7uSiausueAN+U5 rLh0IdtkNivb1vGUSW5xhr7AVqa45bt1DLVcuIGkTIybx6ZbEOWZ81pX/raeTDf7gB+4mF29 uzi7BKO5Oj8i8CJOwGWuz3L/kVnu4yy3zRo/C0fwz6CAmmI64bEFXQUZHvcM/ZTf56jdQ035 bqA8CRA9QOjL99bYR4gRM172ChWObFrZ1S+BRQ0lepnhhoYA4uvH/EFszguU4L1WGXhNTJO2 WG/bnxaZP9pFWi2bQMCmm9RWFUXXXHVu6I632GK1bahaLLatG1qrow80nfTxw+CBJV8+L4u4 ols2pJdZmJFXKfzudcjOue/t7OzAgul7u/jI44+p3IoFB8iiTMQkA3gLP+ED/gWC3c5w55Bm q3Bnh5+4/dX4bXdnZ/QKsxU+o4xC/FbW/dBIq4dyyatRp1/HYD4fA9kBcwaaIo4ByZ/ijXC8 cEeQw48YeWEzGtnODq/hXxchcfNFNbptvoPoFHS51lRoe9mX2y6e/+B/ggLCpQV4ErZb0Onj 1xOAO8DzAUCiC5+74p6pY/Bbpg7mB8+awAZX1VHX+Vp/C5yVjf0mb9X+MCk4J10kGmJQGH7I sw/ObIqkfEIVcW9psoPMSRlAXPYjDbpdfpGAvOqRYOEnacbR9HqS+4nOuZ+YA017Hvs7NT4g MOS0tsxF8eozsLnDAozeF6QL5LnhsoudBuRFefW2R968IWoP+37CXy2SERj7mwfr42BEDMaJ YpDLQXrQnV1cnF9Ig9rpsiTB08rYenB+OLu+/OXsavrzNe/UG3ABGaqJAjI07bnq0aIfhSRa 9aPxtirX/mYpEOQUfoMBu+CKeYDOUwRUB/mHGsB81/8kgziwD8bM2dQEm7ou8+OnsymciPAE /f5vQNgBjPw9y7iT6WJEe3k9+/nq+nD2dnZ2ODs7OJ5d9rhtghb8X3vv3tfGlaWN/g2fokKf hBIIIXHHjt2DMU542wYPkKT7zXj0K0klqFhItEoYM92Zz37Wde+1q0pC2E4mc057egJI+35Z e12f5eb6uLYQ5wCXxTfhWWVcrbkb+h647dPvzg7e0IgOcuSVYq4XPY+a0TffRPLXt8+iQTq8 BMmlH/PFoypC7KAHt/xtWnUuVJfq9ejw+4Oz0+OX9ahVp62rR8vdZWyCN2CTMBQ2t/Yfe86I Lfr5AJ7ldtEK0UZDgjt/a1HrnTk2D9QLDufjquLJDWqsPlTDH+uwJz7XzMGSSQvexJKthR+k q8ntDVS8SpObNkrsbbKOx1gS3ti15+NeO5lM6s4cTCMSKri1tYngKVvbW4ydwlZCv/gv7o97 MbzXdHty+AXWHUQdbYr0Ekme317fKKjFoAfkOxs0oujF7YTZKnYcIcNSgqIy6i1RHKemqAS6 QCEPhSxT1r+P/iu5udHgE+qZXTJJy8KCPI1jcQ3FLni4XdQINbeckycVkYJEPExY7DZaDwrx 1zCd2+uc2lI4pcF9I7R+3qVq3wMmJZ0UVSi0HqiHQPd+1A0VhxVYR+cfJbVUHGl5lM4lr2Kc 8J204kbrxhnRAfowynqL0Q83veDawfiRqTkkvKLgCACrnyH0AcNX0QcwogjOGBxyfju2dvbg PK1u7TXrrSaeqy/WOl8M+A9M6Sdm1ck/AwSaD6m4NaBQQV5FZAnO+sY6MRzZ1V1boD1HzZie Nlpid77pzBJnKK59bkdhkz+pcngQGjSRdRgI8wUJioDtLG8jYW0jeZ/Eo0EPLnQ9Cp+AmjwB j6kT/fOf+ELMW8U/EPRC0YFi2LECmeItB35qN1rdbm5/8S1fuAb6kU5iXdhmPTqBL/MSQcVj nv1XCs8UPXb0TEF10WY/jm4/XGkK6V79nZ8JWDel/iN4uGK34kcfJ2eypsewpGeju6OPogJ4 Peq+p8WZKouW0Co7M79WB/B+L93b3enu7jYa3Wa6m+zu7m5tTpdBS82U5c9SEWLeNzfptMlP +KgNJezMj4f9ESwFhlLirygS1JlPiYrFohXso8Yv7smLJ0z2M3qQkkgBDCMkpyj6o1Uw55f3 p7Pji6M2sDbtV8dHr1/SZcQ38im31RthE3djdJiEXaojkerl7JHSz4b8cfd2nLNhjL1q4c0G QgIPKtMF7gI5KOkDrywxgPzN8cmF+SKnrvmbF8cXbw7enh+579N7+vrXWds+FWu0M1cxVUVs djpbSbKb7jUaO7v7e73mdqu5Mf0YTG2ufBymFuWg5o1NDmqGn8TPXALJUsJijGMxXIzTG9l9 2hq9KY4MEc37Hm7VBXJTxGSRiPIim1wnN3gYohVcUrh7+JjSd07kXtXfhUFukiJ5YaF89NDI AgXQ7/EEBbJiCSFhyuSdp8m4e3V+nx+CWJy2iJ0HWk3cNetRjnuO19fjWOPBwWvxFTZTk7Xa 3K0jaGxrc6tZ39j9AquFb12c0XSjLPoW6TsQ/WsU2T/iUjV62XULvlpdZSlalq9znbeTHohC KarX6JzWy3WZ+P+cvaMVWSO9DdQi3U1pWZ0yh9afHjhW/2Ct4ehOfCvJOo77mb8P47fFfkaX fMYze1V4MU9eogXj5PACXsw1FOLhP5+252tUFQuywgMfyGeR/PbUfMnUH/5rP5RTVzGwoJRf /u7o5l4JBHedo2tDf4QFBkg2Y/yLtoU+rlFDpNbgM/5P293xyatT22f0uGUMxOU/2Erasf2O ixl2+8j1ZH7x85ZxxtigebmSX26Zqc0HV3f1Matg2dkZs3HFdE7zb97U2a9WTH7Vzh0bZ8Xx amHK+EMej4cHQucCaHMKsqC+EbQOPEhcvj6wF44VEAUaOe7QFzhikAbxA/h+KpcwBVi8M0ch 4RD2d3b6exv7O3v9RmOjl2zsb29t9XamcwhTGivzB1MK0ou3s90k7gB/7vF7x2brwwG8Ij04 7E7JFJ+hlPJjMo5WkLM+w0cPN1X+ABGFXjCvi8ZNobCHXuw/rNOVYi40XrJ6pSV5lJ1OWLSU 8L6hEji8u4/vCgQM6mF1jh78vaBr8ah+jO7az4fVzoPRpeico6XbIQrll0PC/Cy8stHX3aV6 5Acn53Lq2TMuYg6cvvNQCTl1vY291vbGzna/02hspttJb2t7q9ubfuqqWiofuapSdN7IwED/ hT/z204vGyNVqKy6CGLBDVGuHhdrNNbpf4vquhP9P7EtUqMxaIeNy8Gog95Pi2unL/7POdQv wNqPogAgfxQh6jz894MqSRujxdU5q3rXvMpmouKQYaBuwNasOBo2rt/PtdOSTWDquvP3sst7 /db2ZrKf7m03Gvu9dHe7udPammEILbczc4+lDImhRE82hJpcOC0TyHRoxERfzruR8JJoiZB1 NVfgCUcbYxRIzagLY0HzZusAW+HjXs2qEOMi4HcNNQ+L0SHIq9C6eO6hwxjdWzRhVweksK2H bSA8kSPknEvWTxe2RzGtIMSqjxUFD+D5FgnZdttw8+vY+a1FqYtzHaJPmvuTK+cY/oMiDVCP k9OLWj06Picxyy1G1yzGZzQHS3aom1VnT97Tm6OPN+Nc/c1Qox7hQzC6QVikfALFxvwbfvQj mZqA5jk3vDpGqKUfELkJdbx9eIw1ECX9eIPjI5UvorKjx9iY4pBRhenWE8OwIu9ISx66QzeV /BZ2B9PL8JjgR+MRd8hk1njghBso+WF6R/D1FkteNT7uX6ORtpKt7Sb8b4Nu2Xov/bCOeq15 7pPpDQ9ks94E0lnHnB//9m+Lq9UgYvni6rPqf8gw+cjxiNQrPVjLHkZRJRMOMk/JhTvPGANY I3bG6Q1qOocSisqBivXF1S46gDlF7+iaPL/Zb9o1iA7sCSqd6yx9iss52kiin6+zYf06+fhu cZX09yDPsn+guJGzC7e4kGZie6De2S3eRGbnItFCKTwMi6tJdJfciwuLhzKOrlAlTqFFbK/A wBrn7EPBfVPWlcP2hwYvjcxP6LYrmKiwjPlN0k3h6hkXcxgJ6tiDYjpZdItvwFzCb4EvmCSX gzSvoXautMKLq7LEhdBOv4VTlvyKwuc/QOsjctghNFQYHqx3EUW0jj5NI9xu2CHkjrAQbBT+ Gt8RTUedRqvRGNZo0Y6HqHggR3vnYm9as8OgeNfcFafl6I8cMPSK8b2K+1DWISJwfGsQq1rT OjAmxp0LOg7BUCMyO8gfVRXdJvjzR9QPqaKcQq3m3Z4KEBI4PpqtbyxGzQuxKBxHMLiv0ZIh JfSONbRjQl5vJ4iqeZcuw8F1yHv+sAvTSS63SOVSpNWLq0BVsR5s/094VhzJ5UQedAvIWZj4 WNik/CoRGxrdAnfJ6UQtrsZ6ZRK5c3mNjoEAAWO3OGAMJblLvfLoms4D3k558SPCGbzWhrkk 2vmGa+I/SmZNF5FBK4HPKloCOylp9WFysIb0phaWIQoeD4new5ogUN6zb3Fgjm0wS8K3ku5h Sq6mHrHQ8hOI4Te4HI1hpa9h+gwEUh40TZniD4kPgF7hbgUYFQh/UQ/jLBlbR0Aomer2QPLq wIcEArC4CisxtAwQe+MzfMjlaNSD92ciuIuZCA54IKGrWoOjzuF/KcZ5ZtgXNAhLSaNLOulg jWxxPtQcL/Vo3GNyIyRGz3ROPv0IBTQUn244QIur6CVoSvMk4bjcjEdIT1xraDEe3+IowtQS vHCnwzKmB8GFBBGcfJl12RJ1au9ejbIu+hKmXeKwYLkWV3m9ugmaGtyxlivu0VQcYAO0B9Tu 9vKKhrO4eu7jdSKPmzIt5FmPu0E8wpXXQy/QST4a6PqDDQjynipxTVJzIH5NzvgwAQzk9DaA JSbMEh0KPcRKGboUHkG3Cg6QtdcqfyZQARTqhGfBMhOjPjx3gtNEsJsOqCbVCshqNi4bfDsc lyl4LEQtcrjNWR8PdMr2JoSauaOrChfcRNrLhWLXULzFSp6zCaHhQFuZQy8g0KkEY/vNI+GD 2rIJhyDkN6MhWZjK7gtCIxZXibKIV2zOTqp0O4QgV8KiPkTniDENUVR9BIZEPCjNET4WiC4G HJPinT3mffhazb2QcVKLSsw8/JsaKyLVQNqokAJ8tW9NteemHogV9AKaroLuRG5wdfHv0wv+ zItpp2drhQaKI0ZHdDdiuIVTIFCz8N0kwCJ3kgl11XMWusDAqnLfdet84Fc0rUlKC+D7zDzd +J5HHRoTRQuOInlGcpZsJ0n+3mc74se7Tqf3Pp1YQiDkhR6KFEmrohSJdIgkyd2Au9RhC6E5 h842mkH5KubBaXgFS91+Q7kw2cFbrgDh4WZE4PSu0hWk7hquBTgYbw/OLo4PKhsp1/TXc5h2 0zwHXgtJMgo1FREy9I8YD2HgDE3O/SDwlJ0+MAl0iaJ+aUzFudCLJ/K4Bc9RSANiYqKfW/Vo +50Gy9EDiSPJ5Flprb30OCgEAcU9uChfc1uatejZc7v4MfJY3I1PZgXDAW5g2tK0mnU8UTiV u6vRoLjqtYp+N+GqQL/hlsXszyPTl941eHVa58UtvUvFPv8e7YHI2V0nw/uqMTR5DG7HYj8B nj8yXR1gldC/MR9NG8BwpENViHKdP74dNHymBUif9V7iHG8YEU6el5Hi1CNRlQsCh8j6GSnd c5SAWUxikLUxs5MJuY0lA5AhkYhPuKPySwUUmx+6ZT2UFFhnRRAjaAL1T5U102HCEzNAH39l RhZX/SuBfhbJmDVLhgIyryYPLA4uoW8x+UvObzmMlQ/EMrwpsMhyVmSIGXGVNX3AREFH+hZd nIAJ1/WBs1A4dTKJBgaCABsGY5flpkUiGTRahvfgZ3gQ3tGLsOwOnMSWZvS+WyKjK6teJjgZ vzU1FONwVCLYx3oGayQ6DN/TS6sB7tjlWiCJO79coceoG7ydqIg9GU1QjC8zgMxEjeEz+H5N HQpBqgiVUiCo4EFWWcueKHg6wsVT+SrGq8cyIn9wnYzfC4r54mpQp67i4H0Qr36PWplmY5uQ 2oFYojMIa2HgeCdwG9PxeDSuyfvzQkXRAB5vJm/rhCDWCpXr45liy9EAF4oB0RhhPnipBKY0 Qe1JhkTXZZMw6QMpgpfPkYAu+IdKGiCGxC8g7MQN3G63jWHjNfvIwNuTYmSoJ0kx8B4gRiDt UBXFiNsD+vAxLLpRizDZFqpdyII0HLk6dGMI1R0IMFfvIxkg3SgUJfDDkBBSIEfaE6AB4Krh OHnNgptea2dzb6sWjGPTDdnrGdAZGgiUKGEMusN9UHWrNq0YE6pUcPldw4FUwZfyI94MSgrS 66Xkp5VP0hsYarfRYi0B/LYJN5LUW6IikAEToJb0iSX9BJSFosUjQRLEte5tnvsQbdyQKGeA eznOb3UylGYMHcvGWTLjPAd8JbBWge7N8+vEgd0JJqZSQN0SEnXGKDKSWF2tSPxJaOowZQqu jSyN08tbGMGS13mo9Bq0j2yf2YTrW8pgNLwkbVXC60Eog8xmkMCIUgvPjEl9AjXYAOGxe2MJ ss+GeJmQ2hN5qANPinsZCFGewmQikgIvU/PsVqBgIGy6MQt3yOPCIHsD3BXP+/upZhJfSLIY 3gN9mTmfRa/nFgOV6mxrm6B3NzFlIGo4cUKJrf5NKl5ST9ASGN1jiKgnLo35LVtrSJakpxjW qpsOx3igeKYgYwAflX5gEKh6eJgj2MpLeCWqKJnDn7PkrI7Hn5gtYioC0pProgw9/LIjJzEr r3GUCbS5aZV/1UCT7o0fFsa8RAcpnyyZ61cQwR2D3KUXklX/xEvzia9QfMpFwJmSrlnyA9Eg DHIKASeYcFGiOBKs2p6M2o48xUxL3N9SJsYlFGUYXjCxrCLkxZi4CSEbnkZYMX0A9x/5uemU 1ui7knEnAzFifM8Mchc5TNIXCHsziS5vE+B4JykHGjD7nH7spkLWZymKe8AtcVzs4uptNpy0 dkjDMrx3CjWXbo10Fzek6Ogy60faE7phKUNTGHXtXYq3m7xOQ1V0nmIsPbFUqjelo6Uxu9Gt nA/fM1GFAVO0A1jtehizAUtF5x+oCt7L1s57cx6c7to3V3N6n8VV5hJQPT0k/byDkaRNH49Q tnTSEbbMW0c2INpnJF8j8pJwyhhBBSzvbSaglV5/GYR/4BwmnjrhCkpelejN8Un7xQ+Hfzm6 aJ+d/nQOpwSkHxFmyWwi72eKkZmYl4afL+jLiQZ4cYEeccwK3O14I1qJNpuIMsE9R+skTqo+ mSJlJiZSW0pB19j3FeZ+EQ0C6/L/e+e9HHXijBzljQUDB02OGg5emwu80WkqHLsXJhZKFLnQ 2Z2ILlJQKRpGUTmLVjZjPGmQnYhoorWxWfzmZafn68kV0x2hMBZEnbr2uabRynedUfZL6gbP DdoVTJ+R0YROHExVbDeHeXng3HnQBJhB9+8aJ1Bz1Iutj3TkCsl+RM5XAySbHpVGOL9bJaz8 2Bm6S69A2eJEck4wmUbkePeycKMIs4lgWdFGIFvmTWZQt658XsXBAHKrVLnBt8lfI8twq46f MdmpvczjDdXF0NiFV2rMlkV48FggBklu4z9PaiLBnogyNyCSju7ExiYdrDZlPuLFHg1BnD4d Kz3Y+M+/SNN/KTcdNCcpDliXhNIWHCVSLa1JtBrPP+DHaAnMAMV6hgZnTj8lhk9iBYWQqdy0 uMqWXtHP8HtOBmRCaHFUBOij1z7TS0ATs2pxaGJxlYEvtKHOvT8pboDOmMGZpatsGMLc+GC6 EOq8GEkkMENMgk3GappHQq8QkKV+P+tmeNkouVqkXLC7w4GZkW+Hs5yIwKAPKdzJ2wGD22tv 4TDd3VS9g7H/3lsdXC/tAcHOukr6AynZJdAi8z20+T1qvpDdhg+xLeF/SaNSd4zZn6PXKWEh o3ExDQPqzKWtE7twRyGM4wkfJUc85e1YC9lhKEys3sbKiVElNcgJCZgv2GFqj/ZeNcb4icuU QLIDeqhwEKaC7y1dg7w2SJfwOrBSWVk59zyz/8X7FMgG9Uw6LNKqC5c9Eg7LcybnsPl9pJx/ gZkSN1F3M7i9IU6cxU+cziqWAnZnmIFcUdqqWLTeVLef3nn7pIgldLd4UlnO1lZK15CjIo8c MLD/WoMCbWVUyuLcsVUcm47/stqqeXKWuyHyFysRvs8n+GFhhI3oB9Imk8Hr5NkWrdZfnu3v 79Ock/FYGBnWRTL18cp6WQERxRGOWLMzBR3DN3sEQwxsLskracK5uVmW86eywWjcTnwBrhBN 2mtwEIC3oqEIEqUMhZxHipyoU6vr00vilkJiVxNnZHFvJmyXL2tcmFJpRG96Ocgu2fvOKDSd uo1f2Bf35pLqC6c3mNKKY+yhfHEdCbe51iE6Cqwunh5momt1Yd/oJpQvuDmRuP6w4HuwKbjg tP7//Sza2Hr/ghZfRaA8uxxmQNcScmAccHoM4ON2oGCYfw+7Wx4nd8uGlsZEIZzgZMjS3oua +A5kSrzuJykH2CHyC7mP3FwO/qsmqiUvhzqvDZilWj9penW505biFYiuXh1UgEjsGLVoTNgd zKshxgNVVRuQH4KFVsIAx6YHFyTLM+xLLwrpB4KF0z0pvszcFgwmZmtzQS6oRehNkMAjxeai k9EkfRKdok7jlpIlGMZMPWyiqxE6mYTeBsKhCQNk3maOyBeVLhOLiXn90cslGfQbnJUokH/I vhgTNfBiP1yyso9ITd5+oj+OIxVBTEUNz6nm9tlu2Ic87RUZT6Mvjpavk8usu+zM7HXWBaEt G+TSJM/IuXJxtXuVdt+bE8c01dvYE/vAh+/t4ipw7og9ao9ppUzh1ETBbJjCi3NST1JYJbeT ER69blTROLPbhKNBBExeD++dQmHJPbW1dNLLbGgdU8xUhCmRi00GCzKXEEt8dTt8zzcDzghe O3K7oJXKvIuL6kRocAy8iA62EyTW8EgCY9whLx7JzZApqgGpz2xF76Qjfh5KFkkpBc3hIyr7 +n/OT09eKJUVcfxNco8sIFwMc86E8WcpWzceXUrqKhl4MwOxkOxIw+YWNzLxy/EP/pXTFwRb iSdF9VQJJxn9OFlL7tjS4jcQXnzx3HGfUj7X6L83m1+TnxUpHwck8dOEWavAfkCEr0KMBuvb uu/pGBhDP22WpZoyuaSLz5TTECyuvkzzGQyxt3j00tJEyehEDlvI7GdD2M88LR4xYWPZfohs VAU1poOcOzugJ4nJNb7f2OR1Ctw00wbingnaE91xmFyLnq93SztvyDaTIjENIgH39lB9nfT1 x2vMvFWefKBmnCImpPJqNzqW1LLyNj9kO5LFLNQS3Te8asCmOJEs8OL3hjbOg4P3h/2zYC1H oi7kCyviPNncRFzJ2TVYL2o6RMdATrgwvOeVFz8r5WjZbnqV2GfVnTvS42hNvNsfMtQ0uvTJ 5GQM9JRzQOHpLzy2/L7jib6e4lhsZ4LH9ja3D4G/ARRmRM9LNimkgcEqbnrIFHpLlC2mFggh N2gQhQrsCBiO2jNwQknI7kPn12lZRUNHFjtaT7iI93nmoLPDV+N85LJvVehOSATtsfKkCwIw 7KebOHJABtDJ6X71CdH8OKwGxZXLuqQzc1kuZIk5AzKcD3kRcXrwAtCjWI/EXg4DOD9DGMbJ LVkARGlNgyskp6iYJTKVIfhpJYymwNKyTzbGw2TDG2jP4Ul7icEGdJwevyytLS1OIKYHSdzF AYvhOfHfmgtigQnc3E7Uq0mORu5yVmv+nNwdTjemNRU5YTyFf3Gz0WgMZZprko4FKpCveRlu PiLgNzpBeBJdcfFHn7c4AYWoY7KTUchizLCehfIyGhXtvIf4lPKBe/y9AtxML++tZsXlqYD/ 5ComifS8VQRRdL4q/Kot00FYlmcRSQ+6lOk70EvZto0LTOIkp1xK5TI4K+ziKi3gemFZmPqY U9LEQTKP5u93cHrrlj5PyNjOVVukEmGxjtRLUx5RLb+B5XvDB8sDOYc3jUWfn5v11ru5woSC WL9iTO/UchINlOx1W82k39/cazT2d1vpVrPXac0I653e3syQoUJZDBja39xGQBj+AR/YIlPy E8RvGcBccC1GI8IbZdwOAmXufXRAbJYxZso5vBdkstAZAvrp37Lr9y2QX4ft9BVQP36z26M+ hanHBM6GH2FnM/APVh/dQAkyQBGc8GhHrUbzqY/7ZpQlDPaND4BFOWFJdQUdJ4AP68YCqOS/ q0Urcx2kQhTpjKNULCmHqdvb2e8kvWR3q9Ho9fb3N/Y29tK9uQ5TqcWZx6lUmkIi9/A8wX8x encx+pOGtC5hUHm+joi0BEh0tVTx5X1O/Ch9ubi2GCFiGTySP7B3h6K34cUcp30JAQxi1Iy5 TqBwSVtcp2aSsroaHvsxCEo48G0a+PYu3wMq1o1+TLq4gxTfHq2sDEaj97c3bWDQcP/HPPHY orrUIw90s4JlcsUOjQica/gh6SIGV73YtHyOYdzSN+LLRYrRQMTR90QTwaxRCgGmkfVR9ObH k5eqvFtxWI51+PylBWhcsTe9TogNEbr8IeYtrJWEC5SGSTMWXIvK8m9+dAGE8LGh4lMaivD/ BAttfwMx0Fb3W/XWFm4CWbJ0zgIzkDloHYlqA0qEyy7vGWkL0QZIy4EVoN4R7nJEXeJ9DT91 KLeDLsfiVy+gxSuatZSu3CqWM2thgVh9S7KA8G+F4VvdV1XrRV9YVOJBd4Ng2heKEMgWKLga C9mUwFYJHBCh+Q6VZIuE6KK2csWU7CQSweSlkogY+/9KeyBY9KUhkIXrEaPoivUPI0hEK0xs /O1kBMf+9vaafTgQQhP95gVnqUU42a3NrfrW/hc5DQsLhY3SyxU8ejTfGGg71YtMbf8voqpr z13CCneaFwxyxKQCkmKNgLlpf7R3+Kuy08o++KbKPzc9uZDVOMBTB1RAsJgFm/wrQ6nAIVml vT3uAzf2nnkkPiDk01xCaqyLqsnjRmERdNaRhkRlZIJmymk2cYYNLr+u2DV+pt98E1Xh+TIS tAMii5BTucvbbMBPe/aaKjQ5r74rIvAxn7dbq26zvgkar0ffFPuzhYOdpc956XHJTsmu6xbU Lxw51HkTI3lCoEKKAoRJYalNwCY05Pd1XgFY0mAwfCR4ER3IcWHACHfsxrdgz40ulpVqzZKZ VZi6AguCqVJa0kga8T2vUzxwKs5619dpLyP/JVWxqRJT/SKuPRMq01+4IRifcAX4bPxaxiE3 CNRf8HzgcaxH/N/CxS70HB70xyx89VjCVS+tcsTPg3EBMFyWSGuSn4T59oWQafG8Cncr8E7Q hWdOAmYkosS3htP4Eu3JJCNLmzzVZkAnAgPtDka57aQC/5NRkfYYxGRPcFur0bQ8AWJcLcJY RwGb0YlYioCNm4V5ys9KZ5wm7+WxJw+ACkL+hGb5cKMmIcKqb5r4APEme1KFRsRR4iEWEamK HKj+k+jr3lKdJ8jrKrCjhDq6u8tAKf100r2iUSH/jY8uyH0OQbHA5SYFPpcWjtIXKF2aCtHk cQURwjfi/Z+O6BRIflhj7aEahBAnb+9D5QRFeHZBA7YmzAQyqWvPC8BSbXixYvtVHf03JrUi HhSdawaqYbFse5PFm08UZIxksjifaKKX80sLJ1PkiSq55LEyyWKEp8tDmOZ4cfn0MNgzE4DN rV2SVjZRatmzFGDuBRFsznnwjt+OSP51GKUUwa+UizUd/h346plG1vILvm4m7WzxZMA1ht26 RGuK36tzpuIn8rE4yy9A5HCDJTmD78lDUy41VJy4f/ywvV+JaCGkKYfhCfq0dwyBq8bRY517 mexoLKHIhFL6MFz11HQID1edlRHh9wXXFnUcM4fix60HAU2gFY589GjRGvGp/wwUXYa2pxxl 2y14L0mcEz+fNipbk3HeZmNZzFjTpPtYSRR6mv/s1PXz8WXNi2Qg0IOIec7R3SBJwpcC17yK TDPc+L/n8E0bvpBO0U8kYrSQMVkdyY5E7PONjRRKgHK4UEO6CJnEUQQj97EIcw9+9R8+p1IP Y9vj+JxaO56k16iTSGprz+kAPzUFOxUFO7agWYgoz2nPSovDbLPoNA9ubgb3WOLQLQyQljpr BoCN6rhfsTm8cnTjcBncBnJ2Bd0/GmsETfAv0EBxUERg8UjsNDeJgu7s7EsuIeZvc8IDa5PN NSalmXKvnpta4Q/oj5dp3o0mPfhvXZRJqO0r6X0xU8XCAqs3LKQP6q28b7W7BZyDnnMRU/XV z6qOvsoclENH0sXrU+IKjI7qZ2XGCu3qnGwCVTiLa2VdNj9zwrMTc6muZgR4ji7fM6vg8toa +vwFSiZNObPTopS4O3uS2ujxw5HEU05146B0rW4u/Mbr5xTBWrFrFf/2WXHOxSJ59E1pkgtO r2+zItEsN3dwlrvNzU+eJSJUiQV8kqXEXmsIHj6wGFbM21qe7uIah2C1O2k+sWDiQachb4aG iOrd/9S25joWXVy18gyoM46rUyULLSuhx67utkQI+ILTjIwKh4F/C4DzHDre8wjo+fvsJrhs 1tvfYaeNx+QYgBIOC7Z4rAzy8lcVJ29a472RQaUw8VtOdPLpteT8xhbnuHiAJeUZHmOkPdlQ X3lKoCBG2tThM9jIBu7YaXNJx6tAPcT7SYavvT3KFbGvCaaMgNt1YJliI2yrdSZGIOxoRQP4 j8kixfYJu5u4nYZWz2qayfZLnZImpjFpnX0V9kiwyWY+uW4h4wylTYpU+6ZYly6jMbyrtwjg kiuSyNDD76hnKjuxKNwlUYCIoqe8H8kFgm+J+E4ukS5gxO2f8YnFzxHNEkeRDdmC0qJEDvt7 cNf2H9q0R+wVXj3DchHbJSX12wLPhdEWsORtXQbdTdoRoBUYpxiRpxOuPSMiqMPUZHSzNkg/ pIMihhFtqEsTJaULZaIY1+QZQ40SEkTMqKPPcLFqCM6IfXOOKFlCDqZjL0YNEeZdyX1qKriY zio4xmFMmWKFfTw6S9Eppau5IPBmCxPIR4myMKbwC3Jx0DxpCVZgeXwqy9F7/zt8MRoO0r5P Ebiq5u7j/CAeM+XQjeUuGL5d3jzRfcMn2Ck+vFwIn9ugtm+ZrN6czy7GSmvP4dADIfqKwZgq mkZSmJLiEu3d6gJ6JS6mYzL9E7kbvccRnNxeE0R4HsvBxL2CcSOpa9Wib77BTmI4yHAsb3uj trov67IDm4oR7HZwqnSJYrtizNHS59GM5sSRNmivVnNTux3aDPKIFoKAjDFSAz3WeUQyRo1n Sdszel+9VvglphEZ3SAc2UQ6Hd0MR7TCr9pH/35+9Lq67gc6736KtejPUdXooydRxRoF8gCf OLL26D0WbBN/yi/Ho9ubXC6yw6HxZIm/Z79//+pkwxIgmb/NQg/yBwmA5Ib38DdD76qKTBf5 r1KQi8c9jZkkU9PMZbs5oRTNwyXIHQzbhlb05lfGBXJsVmkymrOe3g7m8PtlBLZY/TBzC7YQ RiDUnEevDEbNYBi+V7mEnjCx2dPDAxU3rYo0McOly6u2APl4Jf27W3j5ZOg+EgomBmykVmT9 PiarmuMUiU/EI+bb8qVMa+5D+Fjz1w669ch3xsqsHyVnrRDHhQrSirch/Dg08pPdSJTHjl6G RFovulyuaaSel5Dp+VO1kRK248Q/Z8UHyrN40LgxVsoCavIA/BOzT45FwxysnxayG+SGYQxW XHNYWXVYWfdXSw8qbooK+jx1HKRTCxS4uWr3MSziCYe7GnxJOTQDzhND7Ylzgeel2Tdgf3e7 3goT3s/u8+FzTxIPTMYlqagWUTUrNJ1A/EA6JJHDYIIu8CLhGOrO5l/4C90owk/I7Oc/In6E K62aJjBRVKNpPpOGSp9rc8EX3jJY/MZ1p58Su5enAxab4FzfpcsGEZd9NT3DzD57JIepuaKQ mGb14UYKCT/54QzajMtpdKJ/Ts1GU3OD/wxXRBr34afXj+b0RJQkwcbnMDZnqqYeiGR+bG5u ozjdau3t1Pd+kxtAY8ZWHxwQre/REHFcpoj1HgqA4NGNGZEVXeLxKTQ5VO6UczjP3xtFLJa7 i/G9p40t9Yii9iOPWM3p1xESUSAivJhJYYsdFznp0CYnFkkLu6CTYomKPom84dv79Q3c8Y1W s769/5tsuSYG5wyvr8h1R6B9oiUmaUsW+U5j8YEn0liHimQddW6OGTcDpCkRrwa8qZt65Qv5 JqwrnxP9REjn6CrErSlWAPLao9u8kPfB4RGRYKnkhcI9rjFAByN6JBUtSZL+6ARagLoArNsU E87JCfkx9WYyGWk95ccM35U7Ez6hdsfrZjuMoxc+N7+gIYyjjX5hfoXMWJrTPDzB5QNsjIHi evXltte7cn2R/eXmvswGq4fTF9uVwFdm5rYEi30ClEGXeqLoNsrfuOPlEE79AUwQhctF2khr rKkIVyRGNgC2vgRPWbPr4HkI/G0K4fArMN86VCzC2HEtWuYby/PwX8qgGNb5yBFJC7DpwMoK /my0TooLyhO0XIzZ9LXIdE8s8uHrgzdv22/PTl8cvDh+fXzxt9hVNeMhhBu56HZEDAtkQLxa 0oXOqWHYfD+m5/hkFkqy04Idd7mMMObK0qtVn4LN7zLYd0KEAVmRcoGKnfeO4GrcWWqYIxCy hty6Jf1f6riufdppZQ9TBQhJrMsGE2TS3gbXfWI2SgfoifIXO/ZrD5/6tfkP/cOUO/DRpW1X cdsLb+L0EhmBjk44awMWhiy3eUbts67Y2pw3bO2hC7agA0Pxepq+ooIWW6oCk/7GCLHfGN2E m+7n3eC1uS7w2jz3tyR6+b8fPpAFz9iFyArvhaNgi7mT609rqYw5vUr57GziVrQeyV7VrP9U 2xEmYX9PCWAnxEbONHg5SERU5KGcQk/kJX9X8bfVyI1nRnZNz5Gs+4DbGeFTptC8mbp29vu7 3U5zd7f1mExdtiOTpGtjf59ipFbXV+bA2pvvn9Oo2j5RUxtFb0/PL747OzqfFmPuqr5FpxjU Sx6Obu5ZS4+gyC0Y7tpGs7VbhxL55HKcnv/76+g7yp8YvURl7egGTWDRd3hSHmhpC7Vtl2Qw E4bwh2GGYAlCig6BCoAAPUSUXhnW8cujk4vjV8eHBxfHpycyqTlWHAp+0eWFN9THrd3wSlA4 26r54ls4zFeNq+fBh0sYUpvD6Ca3N23BOaWKvoT4Ua/fXLbhsWUHwulFAo+tQrH+9eW4+NHt sJvcZIVPfWZ45cXD782yhgF/zuY7vYJR3IVlON6PXKSz4ZQv0Vuv8huc2ijrVVcb2CDC0rc2 /LD85ayaQDr9l8Y+MjXFHp0UJLi9tC8GoujNjy/Im4xCmVh7DmTzlYSCZ2qcp0x1lF+CWbb+ YJRMFhZcyLjaoIRTKmEOmAD3TooSGKFAYux7Azg7zjmCEDbMaq2rWZFYCPTzxJLOzhUEwrMj o4HcqgY8cDlkMuXL2YWNwtyy4VPbI/zddtH13rpWyDb32b0mH8Nek48VvT4mZRt1gGhimxu8 cloln9Vc4R2U1m1bC64h106CuCKI3eURojljnDkqYmQsBjw9tQ2zGx01++sChiea00iflo6r 85s2J1Za+zBAa3D76QIbQ/E8PYlSVssRPgrsxOWQXoQk9zwHXhnjjk1emAGKTrAWhFQFXWAf 9LvPDUWIVuOwOI5fSiuEhUHBeHFwfnxYKyy24FDwNCrgnh1kMqE3lHZKL9rT4n67G0g1TrOe qrB/Zg7/zcFf2y+P3xydnMNrdv6O6p8ev8w1PZt1Bwo2KlpZcWOmsyGHQweKNXh3w82jDRY7 YaFBBXoVmzH5EguM9kz3y4IypBQwMDV4eOpAZuB800gcHGOxoq7JzNZLIOHFAopMWA59MDOt mlRQAEfK5EBRM9gXdmXFfzZznF1gl+wmTBsmn8PIHMOgWfI3vr3p4dbKijra8vipP7iXtjs3 ojl6xOVy5b0BOprzPNkaSN7djN3bUR5lFbBx8b6EkSI4SFnDrPdR+/yEEy9HgT2d/eLMdnOe simVy0FDzfjHyhAzyBbOmo2FcWEeJsfgzIUIpO/pkxXmiBPnILYLRpKQR3QVZKA7CqwnZoDG AJGU/SnolEiCClEg18KARBQ3KRkYBag7mC9YcZebdaUEJqWI90JLY4sJUy8hAeNUNA0jruCo CB+ohJjzTlHQpEPuD9BqyOUUejR+MMhilJoin2FOx0qtxZrmmJJnYtI/qb5mnQMZfJ6wfoh/ rJWKOKakWATmawCP+oPkEmGVkMzghBnYBK9azVVIPj6uAt48m9WFaszsAYZkwJUEzBWRcMNK Au9qB/bYalSVoMhYO+nWd0ErxVulmtFqtFkcOnxGXcmHvMS+i7/+9a+IfM1245wVnR2FKGMU Ws2modlSO0wHHEoagjMjJbUIU84n6E98ESLJS3B+/H+PaIXz2sJ/wDXm3x81m+JEvBCUdMcj dmQC/uxDOiRwbxZ3NedQXrr/Lode1XBfnR39+w9HJ4d/izu1hYV4hXtdqWGSxUJRTL5wfHL4 Ou7Uh7WFmMa7Uos7pRFXVAUuzFStahBaGZYrokR13j49ef23QlXbYHVVbv3l0V+PzrlULMsO Y65undqZNvigoWldSAN+w5CiBTkwSKgwiGqxJD4gAPEiAH0jOMQXRBURq7zssIPq7V4beFkB CKkh4thkcs/Y6TnG7N2RUzBHHmK+i8JIGtE5x6vdpc4maCC+0dLx58IRKmTjgKeq1TSTP3Op JV2yu/6I/RVLb1KjWpAXVoCqs1TEjrn0AcsS6Je7Tq6mzMSLNn5BU9E+ZdwCn5dWFp7496AD +6K+4MzYyRQtnjfJILPgRMaeYmjIrl1clbIPsNMaeqojCV/zMLIlIPowCxs/gkYwzYgOXOPT 6cA9OKFa2lPs5Mq0Bpi/hl1O8RUcI9UWLNcgdxL6xfs20N1W2xkN08IcNdWXiJkDAzJazMik 2LWlVGM8Qeyx5h9idOcYJJ0RsQ0MPFqVA4zuFWUAc8eWmwOyVPfIrQp4ml8lCGXpgICHQNBH d/gQkXkvSPZVK8xUMhf5/eQU0YTbicyC5xKiKKnJ7tvsINPywLhanZokh/55eh46QYjHSJJ3 pmq3InueTzAXh3th+8R/lC8uyKOXKla8JuGrm4x7Ez3bpWY2iqOYkhfPjccvdqmtzZqcQo+W 7A+ky7eizESqGZM05xTCUE+XdSszWnESAwxpJwhTSZPltV9u58OD4XB6HYI/y0eiMcMbP4xu OMga83qTk0YBuzcil9b8NmPYT2Js6UYxrHQjesF5jZhXkYTzQcYO4WE55mIUXSL7SzejArHE ZPLAbDPopaJUOBBeWKSpQjv5JGFqljiluDWci8CpwVDWf+p+hULUXvQs6lzn5DHL5vic0tSo pz0VdgpDFkt8kG8UaAm4RlkgC/A7ShhHqD7wOkjYcQpUyC1aEwoIoxGmz8AQBfyVosQUYti6 xsVuXpTwG/GW/EffqnteqM4yYRJ3qcMUIEDdhLQbLvoNyBtxrYLVg7b961Ev69/jmaFhuCmh KdJspiItNhXcxjOsrhSDc8AudG/uY9eQQ8Eplo5WCuBC6yuVQEtXwHuL6hEKWfydCuHZj1P6 KxbRxXLtrD1nVaeuLfoAwAJ/d3z4NCxGOs6g1MXf3h61Sc9ZKGp0RFBD969YSMn4s6hF7Iln AugBKnICsgBqiDjAaSJpYeEFicCMjKWMKR9RjgzPH3BLvRHhfqW8ckxrrkbjydoAmJOeQDvm NW+/MJNwxHdhgfajoCf02xEs7l+FYTz3pyioak70IaeXnVRkNCG3iTA9LbNe00b5c/MdD3S6 BjaAbpLzK8omo3Bxm3A4GgwYe76PqUvnMGTElM0AM94RoOZNhtD5tAuVz6NZdUPB8OyTxql0 3AmXZsUdObqRYT3VjpaqyhfF6osUIAL9offS0yiLvvUHOspWV8mhyndBIDtRUeFWQMSyKwo0 P9BzfTMMGiss+LljAwrpiokdCFJ2cuZHzEZXSkXHbfk9clfN5upaiKRPlLo4swPpgQTQo4P+ UhjbQake+El23JCZeu3PbgerFKFG69mcedTOCwxQHrL1OL0Si48syWA0umHc6BSVaNgUYW8I UgveHW91Sel1onbgNoeCXY3yJjvEO27KPWYmNQt7mU258eZAM38bV5HEb6MptdUvq0Bp5BA8 m2XSqOin7J1jEMsc2TAOihVcMV6OAMfEwibyqDxAkEH/4gbvUn2BA9Z2jYF1SGbp9VzyMPMS LFTRt4oprq4SzQOiV7LHKB0Nb2NgSglNKBKthEZ04P7Lyd/k+V5zzoyFnMVoKU4nXbWzF6hK xeAdgQl9qYnTdojuFOJKQmLopoxDu7saDTQDLjKXlM1NWsEcXYYzQoZonEYObhE5fcHbQ58p mpr17a1Y/uzd2nM3Lln1eEo5z0a1Gs0a+nxZrrcUGlZlOqjA1guCSQuUiGNIRRGhdsxhxYuV 8FHpkpTMTGqdE5nhalyrwLNetLJwDsjfzc5iBYNfjGDgkvxhY9a8bxwUbBn8OxQOnNAg0fZ8 XS+A/yMoJoEyJvP3YgAD9BJNyYi6wzWEYxT4N/yrTV4t5ITKxwAnDl+gyyByk4cHh98ftV9f tE/fnnkeSJ46vG854fpwb3VzmYDrhoWMv8HO6SWRR50ggOju4m8N/E+7+xEp5SHrMN5QXptD zhPkeqQckYTx5fIPS95b5yglMqlTPdIwTCeu3LPo5dGrgx9gUoenr1+TP1n79PhlOCbyhGkz fK2BSl5deIt86Tg1i/wKLvcp2mKA2J7exLisa88HFMxdj75R5CRkmBzTQz7XJRaomgMqyyUe fJ7Pt/zdpksUSJsY+CYcofTmNYReaQen+HKI7AK+Crkhhr8wMfyFWSzyHol+MQRQkKkcAJWo QbMcV68YA2Hd09kY4zIjuaH4XGT4uX3FlEaSx/HYkD3WAz+LCL3zMp3g9EnY+/mXdw6eAo62 f1ojf9ontzcIHwXbxGPWl5WQXvgTquZBVlZdn/nPsp/wokH/bhHcm8RKq2K2YSbqqN6sK25t apM5eVWWgw1w54ZAX2TtGbPWvIUFZAA/jpwhuFNPZKU9H4hmQbqoW4eZFseMW1ZzOUCUnkXB IVXSVY3rVo9cM/ZC0PEUMl4SVejuqZpUREuSQ0XhKmvmRRHBaW89tce3JcdXiKkeX1rXKRh0 38j24vlxvxOgnl5nxGRo8snwPa9y19PkmxmXW5vwqzKkAAy+uOUHUUFhaDvZuuAllKY7jPj7 04rFmWN5/vEFl4ij280I3XjMSH9597R6OTmYnc9y8cgvIoIAPr2o07DvqtyE4BG1jEhZczgY JQLx9npUzD/FsWU+jWlP8sVUgyYurs6lqsQOY0QEvcaLUbNWJCY8FsJf6Gy13m/h6hPgGblX 1UliqK9r7zj/EZ72XozNMmpMgAPMKeOYhYARUt6rwsvLCpro69ulukyvoOLC0co4YUTIXAWj JaxkLwk9jHZZpN9nKULtpdoHT8XP1VD2EpqKsrcz9dK0hjDyF+ik/NbzvbUix3seJKV+82OQ PptSYhsIVhaPO0kOHGxgmKNsp2I5YmrK+RJyTEt5ncFz0c2dXBC4U3qzT9yqUWLC0fjaZtHV /NqoE/IgU7H6xAzure0jTmqOKpFArm9bzdS1fIaR5bWJTs2/R+ToKPgsy4PJMley7HZNq3Vr yD9gpJdzzilxNJL9Uye8UYvCnODsH1Gx8L7OZk1z1hXHbpZAUWZh3dfRw0Qfdox6K2Wkckmo jIuPXywvKkq3FJala69acUzgmn0kpFJN+keN4foJ/jMeiLvUqttdNnVyMHH5cSlfKRP1dd0I thlhDO5YUrFLdzdJnq917teYx2KzFH8yTvuR6TofUeYOZ3k6fXlKCFwZKspvku570kmJn4q4 +/DBcacP8T552ZYR4285EnsX5rQeXqZjSfTnfV881pp3gkUHQAIOrRWgcYr0+LGOb9Pwpr3E 18vUPY6MQufQuCRyENgsYfuRzOPRI3mOM+wpUCJDZlU4yMEx4OPKWrsrwcCh+/PMEK+Xqi3k oH9UAhcEQiMMinTqlf5V+g5fjtyFwkLG/9n5qgun1gtcu70vGw3ZwHpIP3hFn1W4Kj2103U6 NWWkfGXPOcllvLEZ6Nm8740QBZa8FkYLrKw8UjftRurEdGJq51CKa02VqmHTSiEc5OlvHh+F ExOgo8KWlwdqv6/o1MrvZncq4YMLTRf0DBWNu8cClt+4VTrKrXff75QnfkYMRbc7EkTxl2+5 E/rDMqt8nJ7632kT6O8pihL86gGNCPQxl05E3PdVoC168BetdtywJOwo9eKbxOzAlMd1TDEP 5oAEvaiGF76mthrwIdCc6vZTGgJ8/bRUp3MPGzOrFhUoyvUVdj98O8PXsa4pMSUcCc41Pldo EVkMAB+uOa8sfMnmkvcoCnkcU7ZpjMUFl92L5JRJO9h34YJbLanIG7L+cwhnLrAi2tDNpkPZ 4SPZmaYo7oigyeKP4sJqa3dktSDzjT/8We5DtWxqnq8qVLYdUtlKtBZNJ8jZY6b5M1Mj+v1d SMFtY7BfVITlsAVTyUi2n9Zy8vGBlhcEsszlmTJ5jEjktwoUdX8uxGKJuOrbfuZk9IL2Rqle kSoJVAhQPr4RD+smy6XnUTIWK01VNX6SrpHPgjTg1Thm20R3rn9UqHFm6HHKfThC8FMyeO8c e7yCgoBhBpkotXi5s4l/BvjCcyJ0agerjmSOIIqIr7zko+sBt5yTpMs26xpixzCVcMhcSgoI bz1qEUdIWbqlDbqJ2AuvOQiLGFhgqQRrpcgPYqEQGhakjOXE4FzHmY9abD4yi+zt0o4aECzq cm7SeDs55macfiDMG0nMYZh6fhAmljhU4/DbW5qJYib47F2wlUahJQRknczMT1xWEJysXjC8 Wr/UXPasEkUweh3pzF796ZeeFL8UQXiHeyM2dIme4N7EK4kb+vZZ9MPxyUVrBy2yteKzWXgs 7bZx9eKr6dXzyjpIe2o91DCWQsSH55ocQnjwDD/XpUV/InpiR5iQBEQoeetQcOxnH9ENgyWF eJhcw8ZPkONoNBpuqc1YUR7AoZaHvxIVR/CUlTiSRazMJjyLKA83j/BDMoYPE7ovRHvxYf7x 4Ay58vbByd90LEVraWkg/tBXDBzOgGkzPK7vanMMeMMNuMsJv2nAdPox7Abn8MVGys05rY/k pCkO2o+aWiokz0IKNTQsm3JTz74m6Hdo/xnmzhLyW2bL6qVdDQzgi6uK20NXhxPlet6JvO2J PWMnO6InqtH0R5lbMVJvQlCmLr3FhIDj+1k66KFHsXNIWXMHd+sFi/RyivRr9mjDb/UTlubN B9ZFLfjcuYyZD+lyFwKGQklHS4rSxxs9ykKHFq0I4ooN+2ekTTP1c1bzLLNT4DLTCOBONpov MOxixggdA8sN8cb4/EWsHMMyJuxC3qeCWiEe9ft5OgmdC+uunmhSeTT5jAWTUpVT9hJ+l6mn np6AsHpSOI/gFs5jNSBmdPlCh6MjDPtHJ5RxJ5uMMaQLuQqKc2i9eaExg1OItIPB4rYuKFlk Hl2nCUWoo4/BeDRJ2Vk6ucTjPiGPDHR1cbkjHdIcFEK11KL124rTxmWDctQDl9LlhAC1ot+W j2ZJq6djnPbRzebP4ulFzAI8xtxSinllhilqDKEi3VNC3lKQBPLGZsD122H2d1HeIQfEPmj4 0GbSllNVusmJlwlzR3QiMTiDAQDRbOmRuVrfveBRc1OwKkatmvsDS+ln7WY/j+JWcwNDz/BH hZmhUg/GcE05bXf89QBTkH7dqwnVjGwH9UL7JQWVkVYLJyW0+9QplMa4/C44nV0sOjkvPNoR FLzlPHDZMl6SZcfNIfT5ez2wcv1hnzB0ha5T4fycjPDhfHlwcRDXKPqJNr+kuxT4EjYL8ID8 bojeMKZcKjB8nhGPV7ylsUjdvgRVJIa68nSGfTuxbbjKc5Sv6JCRqB5UXbleZpb0Oq7ADBAQ LPMooOLAIL0/Rv30p6yP0WE/nAM3c35+dAZC3/dHh385PvmOhAlVYE6uUaeGY4eh/QlDnfuB 4PAwf8LMubpdVLHZTi4osxC1aH2FFPiM7MZKfeGRhOsPNuObD1OYDtR2ywZUsprM189g4JAj XuDB8FiAF0YhqDtzPCX+q/ZbjY85YsMNP3ZYAW9bKw7qIc53rvFt1Azz+9jxTeNoKc63VRzv 7NIPi3KXI0TaS7oTCYRLromDUKiTOwPSHEh5NAHkFa9vKA1IkT0IXUCV6w1vO0nodZaxSnH4 zpQ0uXJK6UpX0Gn+n6KkZGrdSe9HEkbozSD8zATToll9W6K/sJbBE7lWZr+wR4xdndgBhxY0 Aflk7zt1qG3WK9oqR1oLklClIi9wJbV60Id4PKfx6DGXIZ4DLoqs6B/1gN4zm6335C2G6r2P coiNj2VgK+NBBcACTqERaIZF3URatG+mjEiVpwV4ykDpViLr1ao3rTu/As4drA8u9WtgShS4 qXHB7p+OxyMXxbQQKDrYO48TSxVdjRZocSnjjEPlqh5OjOWeo2KJosbwr4rHrebrVYWvywnm p1/V9ry7fhMtzMNnbKLoqf+1iV9iEy06wYxNLD8dFOynkCB40+vOluRARmqezuFDV4GbEHTp /KofIij1APSiYNAs9OZhIh7VVwB496j+HLbE4/qzUHez+9PF13ez0tUwZC50LOXnRZkH/03w WicTFnEp9tizAOz/i6gM2G3wHioHEUSnCodQeEqJW6gUxrzLLR/cdTHVi5qIrE7UAfsa8rfE Z/AHLk8O/2l8Wed6DK0Ho71vFZ6NARPlpTjOWsipKWmg53A0hKGMefb1qqlrAo/AEabmJD/n tIb4GEkvrxaI6TzYFlzmM3S3EXQNzp5lK2kAB7Jna6ZhckaLUQpmOdXRcIPWFKIxqTGItCE3 ozxXHACFMWUlhYs9p35BwKCm0LCPvLKLie+iyAf81O0ATwBi2ORO84eRDLW5A8+tc6BoBShF +3QHoUV1EVLWt61XpCAueo4lGEXgC/qy0u9nsejjU/Dm8X8Gd5TPHlz/mxFppfzceEk7t2ix Cp14+n2RrYyzTr8ffHAzGXsPTNZAmDC0iuyBrPP4KRWobtltO54AG97m5kGjFanIRAGNT+Ig RX870uOEeikjjbWP/vr9yzMaXQ2u72y1allnleFrmNkLQ8pIVFTFTsLRPND4sVNdTRlDtdol 1LjwdmEu9+lh6t7/BLt7VqQCor+qiFA3PZiYH8GLwHvHWmqVkqVLVK2y/qknDzUfZUelRQXC DV+KOCOVyctQHFXZFzZPhoTYjhmYchddhG+Q0U9BD/OsFo1kinqqqJnCw1GKyv+qHJY/z0Hg yl/bg/B1z+9/sZt6uZPKMZEV5aspGADzjIsamGdYnOmgup/KoQWQA2pdhuuJXgwyIKaGMfCw 3VEvxQ8PT18etVG52T48PTv74e3F0UvnkgDFrvPL2E3iv9LxaE0eRe8LwpwKvDluKEucttOr U6YM8nk1lsWXHrZayr6GuzFz2E6UqB5vrTZl3Z1D52+96OKP+cgV1+E9nxFR/Zst+PQhV662 oxwawPegs+yDbrJzeLza1w+ZHSrbGxkmWRKsIJYRukteY4ZrkJaIKwLKK6+duI9zSwj6TUYb 8v/WmCteCOwAHU3RASVkJYDNHI171vQYsCvRQ4Q0IlFgpt2Ri0wxtHpPUkq/p45AbH3ShxQn Ujnsyjfeve7BTD7xMZ/rDQ87clNCYz3tWJ70aVsUMFFhyIjbQl6u8YDLb4wKUvO4zVzvqYZc cfJnQWh+G254IKYacat34atn/+PbgPrIPDr9C7oaUOqb8fj2Bhul5M1wta5Uvy7L5lFwiA9W 05HRyCILI3Ilw+szf4x7Zx3AVwPVEWxkwXI11/I7HXSFYZOdjSRMg6RqnIr05vyVvqowFbGu p8LsECi7ajWBkJD5rfoJOv/ZsqrImGLzkfoFF+2xLJXV2TrqUsMqibCLiufd0w7Pw74QaApc 53UlKo51VS0YaU4KdWqseStGLEifQfwBDYH1AZMxxWOT1LMY4iqVMXJIFqI6q4VDEapkTCuV QQmV7VTFJpg3hTE7M4qkzx32WySantE4u0RDCs9bIJFJF0Pu7HhF2ITIjakdscb+leiOrU4T qNLITXQz3ED0j4AajO/kLhe3ZKEK1eK9ILJ0JBbrRqMR9VPVDtGH9GhJUhT8nuuV7OE29NAI kCb8h6jEU67O6hjzCQ+RvM2XXZVlb7bkeWKtnszW4ZY6jdpNhv4a/iX9IrbldRNXzz7lvCqa HcJzmPmEUHjFv1WlcvoURgAvh7FJY5HyAXaK25J92gTNl63Oi9YIVDQ/rws5WlPXvXGqgWuB unqaGTSkR4vGElS6OmWff540FpaHs/rpWlCkHYT36g/g2R71oSia7EKVuiglsbFvn/GCA/Gp tFpaG+8jRy2XHv5V3ftZNHfhkb6QMiacPXmCsq62Uim84PTC31RPgTyOSUifZrIvb4Iz2ftx zLELj9sG2Qe1QfgdcUdWH3fOYyhkEC96Alzp7dD57li92OM28vH7ONvP2Ltwlx0s2OV4Lm/j 3/KwTD0k0Jv4F7hYdeVu/xBnZD4/ar8DBQeSP/CaWu5cvv5jrOlGcU0LTi9/4DWNxXWGPFjI s8Yz7DBqVX3+R9OYcH8PMiesA0vVGBUzGua315IJsxjaUMFMBLY4Z4zDoazxSObw10HndKvL txw+KYFpYzAk0O+O3ibrK1K2e0YG+VNAPysZZSsk+Ei/aRiTlS5Argkbnxw07Owe2ntR2pBv ubZxsvHqIe+i446YlnaWa1/aWMHpvfVek65WYIP2NZ1Fe2o9a0s29dQyHdYr9Fjsh30DZnRV 7KCqQoFT9YbvSC3PUii8LYElAm5NSTOhbcs9/m2N2HxvgjHR/ZmisYB+BPIz/XiV3IoGTJzI hAup7AcP4BqVoOaN+LroDMTWrmiRTKYi1DJqjqDiJsPZoLge7cvkJFiflglrcfUTM5NNB/mO HgZyeDym97ogXjgVjKqZc68tIunPRkHrcnA0TaMy1VuZokxHla5AK5Z9V2RH5A+f+o/pM+dr tPilEL/dIpDMm47XCkaO3OjS2MuHvACBjnHcs7HIiJ6nTOnIfaWAAc7jK2StMdZLoVpDVLEG iSUpw+W6yThZ6LhILB/T+VTK+fgZlIbJ4y8OtTKovdy4CMyFIT668uIDeTPjAIejVthRlzIT +5VsdjM75jLhYSuCGWIA9cBzDAVU5sKR4ovxzKEbmi/lG5cy0+nPfvAJFAykSFWKz1wjaaTz +O4qg0eBM9kseuRjn5pECgaA2wbpYOpCc2POE9gks7Bdcm+UBAM746/89ZyMuBnOduIVVdNy CFbB9fqtkWXyCxO7hCdIl8Wlr+b05/7eT4HjLYN8z8g2qGPLimjCmJcnfPEcm2Cfu0POFGI2 L8gRMsSMy5UZWFzOGWALxgmpDNTps4sGu6HzYQqydmjumFyAcgUlAu18HMNMuW0NyDAupksc A7eDwuD5IJlRU2tiLUTfkMsrTGwy9RiZoyZJdtB5Sty2h5gUhX2yDCi5WYLi5acotCEm8r5G nDLEJqcg9p+b9dY7Tj5Cga3cJ8fj3ZJmmdOEqCOrsE7WTR+WFobjuz85vTh64oL6UEktVEEF OgK57xfdZ8lCSl1riCtzM8WwIGLjOKNeAT+1Tp39okxYwYPND1Dd4gTk3HjQmCPG2yeJOgz8 KXq+wUjISz7jnG8eH2NYQJm/htl2Utk/DkkEyXoqqjonVxzrAri8IIXN9PmGeLvHWff9PXKZ 1wR5iPGz1ZnoHQoYLTNlkDEZ9aLo8Ozo4OIoujh48foomkQH59H50eujwwu48vA7hoThzw7v C3Nw0auz0zfRJTzliBTURgkyzeNWvdWkf7UojzO84qVOkHM5Pr84PjyP8lZ0ehIhUap3atFP xxffGy+FsPLBycHrv/1fGJz7NDpGs23CWZpy4NGzPkY3i+fSFabow62DDzOMupJVqsO2dDHF Orqmje/tDRVoY0SDs3EydH5nJqUOCWedrzuRdfQdZatEgAU/oY0L7u0w2A9Z/RVe5En00/dH Z0cwNyDALVzbg5OXiH3Df/kVgb0Vr0s+vkJb/7u10RSIYQbXzzDbBybppgwvY7kVxNbt77th LchWg9R79rfo7euDEx3e2uf846bP079H5wgDgk8eQguO8smzZqPZbDRa+1sb2w1JQves1doF 2tmbXD3bq7lREQZgd4LEGKabQsXWxn6jsbfR2N3d4Xr7+5TjABqQanBiCcT9SRRPWUhX8Ay5 jjNCOiS9rVbch3/NFpd6O0iGvJkwgCdRq7GxtxNdC+k6+ph2b+mN4m9hYPt7W/o1jn6bRhnk uqS7qftHL1eaAK+doLtldwCvViN6neKZBxEV6C4dK3iH4BDDVp+eQRk81486R1CrfIz+GPu+ B2Oaa+O3thsNOLX7reZjNt7O/PP2fXt3b+q+Q+uNFvDTMzb+Ap4L3NNBmowp0R/BRNyNxrlz oSZM0iyXxCK5o2CBpynrBxQjQl+Zcuo5StHML932/kYU/bwZbTY3W8138FuztbkFf23vb76L nj0HFgF2o7mxuenTyGUNGIzxgweCuJQshehZMbW3tll7Br80d5XoFGp1lpRkxdTjGvVee7a1 vd9QPAcoFDZNa8MZ+TRtEXTPwJmnfXT3gGWrm3eZON0Q7gsbzZgo39GbWMlIMQ/jHOaBU55k l0RXO/eFLIZLwpXZsXYI8Cbhh4UIq25e0keW4w6Hhu7C94bfcDwILQDwC4Q59CEdG5bScKZ1 gSdgp/skTDAHvQ3CF0ZMZ0xUYC3uRWvmkzrIEwnnC127cuSRb0YjPJWodr5NhVHi9w0YHJwE 3UWXUpIV1zIfnctP5DcHAkB6fUMcfC/7AAtfZJBd5j5OVGszXDr8oMJbzNxg3a22m74wr+it B28zCVwI1Kvcq3CRmLUHGPr8ihJVUzoV5JK8KZHG79bw1cgvEWfZ5URtxNmTClPAL3pZcjlC 742Yrgt1nzzr1OoMOIEJ2r1IkGiGSbmUxTZIXouubi8dg6qqPPbQueZFogYpziKmZummkLYC mG04k5N7k6wSTpeySA7W6m4U8ij5BPm6S9bO4NIkCB526dI9BpDC1CUKNkY2iv0+WWVjrW7s uIU2qa0lyvy45NMVHZDECrcG5XnKqjS5S1NaJgIUu06vRnfTYG8ZnhaEvwxPOC+Ikw9wF8cE 8n7L+CMEl5o5btoRV0ROxK3E1LhyeExy3AfUpzOSD5H+VCZaL9ZUzeMsxajoRyiTxTS1pQ/n mDugmqM4ipmJ8QlC4XVcF5zILA80OmQQVzxYDulz3PJzVmKSBjgs4vSiml5jdrFnxczCNePb 4ubsq7LlzS9VRaNP1e3AmRREfBNZL5DzJqFeIHZTfN4SzdosjcaBHC/nCWevHH2DLqdMy9fI JuhVIPLMWJrpHpw6YuhgkFrP5JNwiMxFmQWRdCaRaD9QDOJXBW47szaOAHJyI7lYmCc9uXGi eLFRwvMuahW85gGLM6pHjyUkp+RwZwkNNjwLBUthGQ8RuYcuEXJZFKPmDP636PtIO4GqgfG1 GFJV7RFKXmaZk2j5Ouv1BumyaDiILE1C18fiS4VdUmPFNMOeGBY4C2o1t02ifucuTZyTZfqR 5naJlLcuaiY8Vfr9ML0znEAU2yXKr+B5qGwpTCEWtMiMChHlpatk0F9iu4lPL1ZjYPwu55Ij 6SS/QSqr2c6SXm/K6JwamEGbXP7JYBvkglFKbbwg3lcQGRyUq6NuOuQkXIlPTB1mpyETGav+ 6qITuGfQc3yfEJ1y5Lda7UOlpNPEKmScB5seRxhywpvWIC4A1iXrYlDo9XUiCWNYETKgx/lD lt4hYhGwhuO/rKEPZPQECrEKau0CY1875BLk50h5OnHq3lADjQmf+QEFdR9OuYTDzTNRUt5H /weeSBANRzfpf9Xx4UOv+yyJfhhmMBZ8+evRTWNza21zV7QjGsN3Aw/axhqw/JrVOP0Ip2OY aDJ0YpXS8bXNNX+M+oK/32aw+3AWSIdFUJmodfWXhTjeIFW2JFo0hYQI8JkjBkPyGYjqhBDz mWuOgCpkg3vN1EYsxWQM5JACEaFAT8H4lSdbYzfX+2cf9dyWcnMD50HBqqx7ZCYS6T6ssyjk pHNK5ZeO+ymphFx/ygsiiDJxeI4uOtMZRUiQzpjaU1CsiYP1wmlTEsaO55trBVZGPFhvxqMO qwKUtTG5PiYJebGo37auAikeVZHLXJsZnWPaKtuiDNdCwGDeZSj/ApdTyiNY5GZUaJliFa40 CXskxkmQq7mu/vMmRds0LsnN+NEWZUF4ooVrf9DMUoV5Aa1rWx+H9RVFaiVmkhKy0fnAEAcK fFawM9oPg/+keWdOOG1XmLhOmbyp6eYI2+KYwGecP/C0JHRTUtlJh8IoIepuYFakzzspekPp bTKj741u4SWA5U4HJqxUluLOGTPcW2qdh2z27NGgF3BqbAP06wHfDwsFPBu3aPO52SWpRWG6 AptpUYH0XXFv2lwMo58DwUfFN5cj1rJD6K2f5aR+WJQ8vihqDrI+ClQeX9xEEgIVp1AMZjZ9 ThJ9EcUsaGysMdHOuwxVHlcsxnCa7HFKFSlHfdmCsBD4o5TswMCJt6wnQnHBCl9/pqPCa7gV 7koMCbXRZjyWR5dPGJ4svAcNugm+HHp8ThFwitZKEhM8GFHikLZBXlJnoy+RnnHO/IxzJGh8 RIbGz0nR+NgcjfMkafycLI3kGGkuXcWVKaXUtZhU2btpqPO2Vd9WeJkL+U+renJuE+jmBue8 NRXlnnHSicOzOFfZMBSjiDnmjpLpqEnGySRIpwhHOEiQHWTsLZYMwZJm4yM5H8I5xpR8/H3H pJqKYv6GZVIhjZdZvvQOA517D9tOuoq4g+DE6HfaajQx226YZBxoHREdm0FPiNBDVVntYGlU VlIzMEU/7mswLfsj35LCz9dkeNG7dPkDZeNITTzkHfLAJKnQ0zBVz1Qi+r71r8hdvvDeFVMI OJWu0TfYrDIul5gPvVz0sVpGhcG3SfJiJbkKi+5SGHDlB1PC8ED+lSz3N02WO3+S2+LTW2TO qnN2/5bpaF1q2HcNPneF9LSWvyTqpGlq/eEKM8FH5bNnU9eeSOrDcvdQajgSEiB0C/62eIvI nN6hRgB5t9jbfeiVqnDL1PAguc9f+d7xU5cSN/CTnpqB9rG5Zg2nPC3hrNulqTlnHWvts4aQ AqjigfULXuV9geRfeWxHnTQTH+KKO9mX3ZtQGYUaLo6VLZA6bsinTMknI0TJJMh+0uh4fe/6 Rs07GLnoVH/rDdlbQsZ2STOJkCUhHq5vrLZqawSbYudU99QT6UbGDswY7KF+q4H36T3rdLxX a2jiCJDPSZ3AQObeex07WYLHZ5yg0UW1PneYfRAVodU+jrGDfSBvRwR5Mq6XhNZmrHJ31JGo jUAyYZueSjRoEBxRAkEehCqAnCnzbjR+70BK4YIC1epyBGB5dgeqT7qZCC8AzQ9UxkjcQUgm y73oEteLjYvbza/FsCMTxI6LshOettCzs0Hme9FV0Tg76WTCUcBD9wSqLZpcusjrSPUqgccf 5dYaY0l45U2IsrIcZXHXqiYik2+4ocoKS5dbc9BlZIocDyNU8yvXMKew4Y/DgOKEIYbJS2Xs LlxZb04X7882nLifdPI4czC7XsxcjzYaTUQI8RyYCT4bkCNMkmO8lEF1pxvOww7VLBqvVblg mV+wBcPiPTA0Ka3KCGbvfAjrr4Hzf5XrP39Y2pECheTgC88pmaCG2KPM1DjCXa4vZUtIXVC/ cWH0p8rrrSjVzs29jetQXZ3Kz4UxvZQoPXbE4RWWrsW91pBib4+yGq8kd9fDEjS3bc5s4fyb 4UtD24zO4G5R0h6kfnZWJDHPx7OooMzzq+Dgg6eVDV8tciyZ4N54Zbd1HrBcLSVw8eCfLPhx S7ID7JmSTZyXCKt+CouDDDL2rT4hE99OEB7x8zusTwwgLNv9HUsQktAPq2X0KKITNn2f3Fcu nGkwWBaXELuweNPKYz/h+p2l3hpomT0xrfsTs+xZDeK1hqNl5hJxHbgtYh+W6S4ts1pMHjZ2 jVAx2yFqFKw+Y3KnxoYuR6nD38DdqzxPJlhBabBdBf917PSUa1xUrlAhsCE2QVNz6ChdaZZH bNczG6wa45RGzTZdODvF0C7s5UiXib/03ki8nEE5f8t1TaMfhCtirpgir7BBDcMVquLngR4a 6PDtm3Kb6ThZoxYtYHtYbWDw4DmohJIc8I3ooH/27wON1afpKy2Z60r7QOBKOQHlHov7Ri8r lf203uFBvC0Gehjnef8E55IARvEdSwLFY6NMplbwU5wSmmKYtp80zagm2OuJM6zLbuTVdKkP IiDyXBc6Ki6Rd2khV2lxPe5SlggKfNz0M1OpQf6UmBcim8w1zKhu121GE78awGI5LwYQOcCp EHeUwE4VBNkg42AhXNVvj8ym+KXjxBUlyjmHrKGbayRZYxocChJ4e5F65aHw0gLzMc1wKLFp Fn2RTX6lyM9SyCexSpUhn7XKkM+AOfq0sE894bS8xCIQcfOpbVg0QuMvLIxxGmEHUccvGXmQ +VyE1eOQHEdwC1XcaV58RCxo4R2bFeZpg0O/XKTnVG7i8WMI23ow6HOO+cyK+ywMvDp8s6oP E/5ZGPCntLG46qDjfQI4eXEq97YeVXz04GJUtFgA05/y8QNbVt1u0NqUNoIlqGomxN6f8vEn DC/5GLQ2z/DsdWSAQkX6J9cmFnnIjdf64JkNDXbyodDdquGE0bsPPw4EoBg6g1Yq4VLzbsDT TcF4MLuM45+oMT7RrhI5DIo7JBGiujMmUJ1rEQRw6a9v1shlSpx8rik//Wis+pc0GVKOTCJZ qIdh3gFxztY692sscpp88DFpDtQJCfq6Fw4EeQindhf8+fD5Qm3m4uo0tmdup5cvjoBQ8gmu 9I54g84ExhAQXedYlnwM2qQBRkNJbOX+KmcRciwhzwr4mJI7PdZcgLBYbJbgdwvH4lICKN/H 8kXB4DsfhxYuL2wpLnD0LFIjPvFhU5xpFmd5AUhTD5qdWL1lLSuI9nHMQKqnWY/ywLGkhAdP fM1ETxWAr1K/mrGpn2QD4X9ddu7RTUq3gdeNsMRvXRLb8njVSmA2Pen1PDcaw5kg5jM0C/Ff 8F93PwIkIdVn4LlPhl4y05MSA6uFfQUeyuzyaA1yRqHrIDLH6QDJyIh97GgHI2Dj6QWmGF6J IXAsFOkRuJFemnfH2Q3RihN0P0TvYjIaO70t+XTzMUTvQpOXgPKK61nmwbfpQ0Xz8PSf/+LT 1TSGoUU1IMFNoXXV4+rMTQXFgJfgOEF3hQq3qLqlk2Z2U4wx8Tc0VhZp5VdJQg4jsdnGy32v us4l4wpWr1U9DqXXwAdGFCKrptDQKiloGhnNhhOrWpwBMFPtThgR76fE2/FxAd39ZarvXdFB zyQ1e9DjbprfXrUnXglmdg7dkOEmv7Tx/C4lz1iNWBOLHYfIJdNdc6o9c3zvdPhm2/vcMfyX cf6zjfO/8Jv5S5UR6BfzdBas1zPN5r88aDZHZOe5zOaL4tBzOUS/xXIyQkLJluLUfrWVeyLZ Z2R7naGyVfLQNEE+UzFxKs+iPnZBZBBdADtq4YrZFxuRv8fvkUXNR8L4s5+YSPYKDkIekKNh 6t8gmLUjQ0KwaZeKmp4KNLpKNbxm+ZnlGhCXGGfFKn+El4BNxTc9B99M7wBBr9HEc0bw1tce wTMoJgq/4kiPj43oOw7GQHnWewcMKWk1G1bIj4qFBfJQAl6fcmgpXxLiFYWZiqpeDxc4l09G wtHqoIMzPNXU5Ey3TwvFHjaqTLd1hReZnv6nhQoPNF/g7kqOYd5RolvJC3TuZeOdLTK/7WL2 8MylSS+oXn9hNgeJlIMN/aVgodazROdSj5LarX8RFkf/fKc0cxa/E9xz4X0CHau/Z2E0380Y me/BvYTUmVRDKP9yKgOGdFEF/HX2ESdPlIJjYjjzqg1io2Rtzq9ceajoKAmQopB+CZINensD fcHQqDxaJgLgIs+XFdvnNgiqLtIrArcB+lQaOGrRCwMsBG7BxqFZM/DbckgEBZKIrampmKNU 6pR/Q4KtMPdGwogWLEpwfhViMTRqzEXn9zikjfAOJygCoYIPqD61pUIGeeFLzE9dRCWev00i gS0HEAlxqxYd+nQnIcSL+DsMBmsY3AirTu4ihZ1VUIlibl0f30P9bNTQA3R2+3UKw0I8szSs vEmVQxOJW/nyDqMJWJCZ3HFxw3RsnH+rEhuqQCGDt5LE1EVRJZd4RuLR0LVjwoILU92qGC0s mgREBLfBDdnjCviwV+qmEIS5JrFU8I6Gh1o/LbTs2omB/xokXaX8GtkC9ThybFgxaXQlHrnc S8F14JOZEg5I2uObPIY/xqR9vk6GQwyf7giegdeppYocomZWCcmN/n6LWa0x6GYtGmTXmUBQ hLXD+3EgKT3YyNUZJ8PulSq6LFoePJzQGEZ00qCntu4PJrUSeyNGTe+yI3x+LQ54iumwpzEt YhfueGuk7AydAuNdnLPxyY3ABJPmitEm47TX26C96VzW5EiU8Jl4RMIC0vne+M8TfJ3crkZx Wqa3UFhILp0liZvUs1Uj4A7qcc9e5ziMl0KtSHWSs+qBbe8EAzNLLHYfDF9MomVBoltW9p7v jl+e/IpSbd4CN9q/HTs/uevsv4wmtLCVRaFdsGDxiRHtZx6X8nwY5ASW2UVPmvU+qmjwKQpR qWsFdBxGj7J3UAiQ/Zg5kkB0p8/Zw964sVTiJriEvitmqoUe/HRwf9uSSrlaorcpQpz7gtro Fc1O1CYmqafx9asOkvPgDkG4VptTRFelUTMeaNMTBVarmQNVVVSZod53/44Lz1JIL0wN9nuk LrmCPaWjzt565u6XnXr7GXzCQA8uU6m/8/hUYtI2z125B3G6z8BMF8uiKD4lR50yvd7H8lhA EisVLn/Gl/WeHsz32Y1Gl03RwPwisVHFYCUCA5b4E10RhtXx3ZiGSSsA+5Dl2PR0d/pf3gVa UNYG/OK1AGHGmOCOOpk1uOq/yEcdoEXvQ7dLEcMcuyQoSjIrfbdKfIJRMfj+RVbQTgxkvsP8 rOC6bKvPnqPNfizyppMgvyr04QRy0bYVpSw6xsRo1UXOKjDVy7o4y59wIB+zldrPO6tp5Q11 XxX31RDjULJywNju+29LRKJww491g4S4P/OgMSFbqarKLLd8LfO/og4Ib7YApSUTxRwZ8vKP PDNMkBk3qcCmABuCwgo35jg8uJMxjCwb4KlDxhGdywMWqhZqE8LZFGeve1S+w2657S2pepzN S2xe4bIjV4VaaFGdXTVlZZEZ90x4NfsduLoavf00prxRdgVzmikG2BpzWyBFUgQcb6kLg5ZM jgL2NMFUaInB2FEHoxp5NBW8ZMTPWh1ydSZFxfayv2VmmWe4UE/JG1vmCqz0oalRMbPk+qx3 8iF777p6DWF+9+JyOxWl9GrZjwqPVv11LfKHNsAux2/xJH2mWysPWx107XjJW8q7n4pHaWk3 QkxxHerTYqGHhlvZ4swxE6koECIrQsey4AZVp3LwMy75lCfCwgLgyoX+1deUZnSMWjfNRqEM rDLIysHq3xVW9rmeDnVe/dxXA1Oz4s7DE8o+MqPCyikn4nxqi1v7s05xddV61bqwY59ysuBV 7dPBVXoI60o9tlnHP/zhXHX9yv2BfXVl12NmTM0jnmjcXC4hlbp+6FDedGDqAm4lzVyOJuoI qq/TNJyM4k2YxrD/Tv7BdrMe7yAstLVnaKusiFwwr8Gektbp5wqZEq6CklonKJuDc0CKvTun SHN+PpZtKujUON2pUHhuhoyn9QD9FnVXpCsRSGSvs5JmePuJLaCzqGFHlCKnl340+/wA8xRX zBtNDbWKm/YZfJg1L5yfvRJw0RRki0EusYraOaGSuWad9toFrEXHL6O42Wg0nOgvX6OTqqYG kSRuxHC4773ZqvJ7eqBYN0Uekqn6+9gOvMst55eZUhK6mq+kARZlqCH0H+tmRBADmFtO0yYI v6ewBhpQ7kz5jiZ48H56OJkDRq1t3/ksGgcAJ+JBeX9NYjSb9J3ZGb4zVZQowjBqgdEkylNo rucTx7OrWA23mmRXJH/IvFrOp5O6IQpiLjUeX1N67rwOi4k/WW8tcwMmIU0V8k0BGvxZaTo4 bQeiFRWzCCh2dwS7cAOnAZMX2DruS+/XJWmw3EWXLXAemOiAGfHRqrnqcIV7jMkK80FX2MvE GWQDmGsaYwvT9grN5qtcPfTS2AOUgaJPgIMqNOn3/DGkZhjTH+QgBKXTaNcRPojZ5VVnNPak R2MfCrO7GYwmMya2gdYkB1k53xw/bbosPZnOaPaEkOlaMcJUi8vnV3hX8NFeRkTSZSsPEuRm lOWPn/VPhNRSWQZJPmEN9m8HChqC5jm8xGg+E3zIKH+f3rl7y1h7ZIF2vLC2XOQzHEgpozt6 P2GHbYxkN2GMdnI2FpDUZWwpGXbTZcnxwUeatBGJM7UlUSe7hIudDOpiyJhIti3SrZLRldX9 QBL6dIlU9f72u/arH04OyaXo+OTVafvHVnxz6fNl6+vCT/ufemkfKEd0+sPF2x8u2q9Oz94c XLTPDn5aWGhO+1YS+i20phV4ibk6YAgLG9gFOXUsrlaNIbaDPTj77lyU96+ACBzCOy0uWNEK UoXuxOvKF/AVb3eHnB2SP0LXBDJMke8cMtEoGyyAjIAOnaTCnkyOh2/gYWTfeJRAhkBJBXpO sOLEEQ5G9t3RBYwJpnuxuREr4A1hAHGhb6NmLfrnPyP5E+GKaywLGE/cjL13lbxRSck8kvaW PH+VTzBFvXcyEUxv9v4inkXuoyOQTh8Eb377+Lz96vjs/OLw4PXruOazXFpPNowu7DqntgWb az1asekDRSMq6o3Edym1Gcp8DA/EGo3sBjFD8wlmKRYRS/YL1hEH50YGa3l8ERvPrRxuSpdV ZjRS10Nyg24SQE8nqQc6JRR1NxayQXJ3fmLQYzDnc+rgYhTLiNaes9MrnR/usw0flzJSits3 Kmf8qTVJT2N/Pl787eLooP02brrck64v4B/H7T4vRMUCs7BWxKYXfyPHWQQryh44PHcRuxkT odylZggkGbOyegV76gfHpq2EB2V8otmP/BazAuTo/Egn2uvCQYLixeWvyZM07ndRL1Wn8YAA LFeS3GvQgxRJQPvw9M3b0/PjiyMeMDAj6Ngo90iUAHE6HndHvRQ/PTx9edR+dXRw8cPZUfvk 9KJ9/sPbt6dnF0cva1o8guLX+WW8ZKQHxS/GkLgxW7LZ5q4HaMkZHpaIIneTIVHkbje9kdly 3aVazZ/kRYYV0txGxm5wrfRGcC0HieSPEqN0kJ9qnNxJS4f6MCx6iCJHsGDvHIH7Lp0EdC3W 1X0aHBtbt0D4FqpvjL9UoS4ioFSSEmk6gQopwdujM6ID50cXP7xVQuBoOVpYdbwBgbeHtnyS sYSdXnnOnnT7vr6NXAM1zu3Mjn3M42PikBGBivcZDQhzMNCEiK5ixldgVlaMF7c3ti7QjtJn AgfLd4E+UcxTEeg+oEMTvjctRqhcOKddP4brAkX6eh+lP3gIkfPilnzID/51mvXYhAwPDS4A j+nV9eUY26Kq8DteQ930adS/KjdyBXmMgwZqUZkCSSWx2diVn2Jj9maLakOxa+Jd8d6ReERu okXphxeMgejGBMes8CL5kNjdfoPbMC0tE/u+PL0pVaP6zWqYa+o98TkxsNEP73tlsCQNVj/c PuPPugYr6/ivX9pcx84TNDIJkrl6vLMVdukqob+qbw8Vlv3859Y7TnQeIEJl3thZVWdD6lRH ulbX2ZQ6pBZgRfeM0lvBqLzsP6PKdjCosIpZsp25l8xV2X18lb1HbQwHTxR1pd7zmE6ty9dg pWrlhoQCYKenWVX0OcWSrcywM8HDIdQCG3FUpNySfjW7ueCuSlRaQd73ORs9kbFOZOaKuiAv jsXqpJKnoMgwi9/GmN93R5bsVX2kolZThkhQjyS1V1cIYH0wZOeUJkZn0TRHwqFAhcj+SJSV NqMLRUvfxrWPw5K6JQ4rVJwXlJDFjg7Uo50tkD2+7i3VI0c0+UJ4PZ9eBbcxqnmSCH94zqtD 2OtCCVHPoTYihm0hTCWc6WcvcRAnVeBVHciJLhjGJ7d2QAIEUkDmKOszr+lcXKHkY6EQQdBq WwIA7yM3dIEWJIr41lt8+fHW96SURRX9biQ5iTSg7eAJxshCzKiI2TcwwJBUd3zh+5oz1DhY kRl7ITCKiy8khU07v2RWSjF8Uz4S0DNyd79nRxBthm18OTAe+Obd8ytHnG6/r7lohTvxgE9u V9mOZ7bSbQqBfTMPjas4pdBa1HLnPWSFVp6ptraG8Ta0WaQexl9WoRp6Z7nd6tPZcl76C3wy od+lf3ydLz3FgNl+Vg4IZoNdxNW/DQdp1hdHWWq4HmHLZLtNe9mtJVO28apqv3K9QVIaEZWm eN5exWOpN64CfgEX88/R0mQpehIt9ZcEYm5KS1sVLYUBI49pbbuqtSA+pNxa4ULpSWcWwPp7 yJG9Ya9nCZDxfvJ6H11EVHgyq5YpcBkrHZziyeFPH3tKSsfEN1NZ4NclXZNpi9wyi7yE89dN mVZho7ICVzHOewvu+cAT6d1h0AeJqZJyIDLiicNilnUW3Q1rv4LFpYQrJY3iE7yMwq8U0i37 K1C1M9Vb8/i9mbI5dnemb88c++MUB3AWXwlbg1rMVmyfbgozyn9mgvauVnuwh41P7YFoZ9CD OiZO3SZR7dJWkRVAUTd89u20Z0ax4KBvH7OHvS+1h72H97D3uD2Uh0bv2DyXjNf5Maus+vEn pHdQtkGWEZ5kzWg2/4r2v9SK9h9e0f4jVzSWt1tR73u1x6yusgBh7cqVlnDsJ24CRg1/O0S/ kaFVwz+JiD9m8lV2CRZepfWOWEWaUwP1a1aw23BfbpS/3HRfbpa/3HJfbpW/3HZfbrsvqxj9 Hcfo95f8E+ys3szweyO4JO0oNLI7uxFY8oA/40YlP+iUJvcqmgyqC6uHFt0koCZMUPrjhEhb zcgoChMi+mjumH9/xrpq0r1hIPwhHyiKQGD9n4Z2GhHbgcNzGwItZMKWRWkHrTvF3nfphOSS mOrYrCPkewBCbawQB0PP3bsIRQVgt+GhIKzx2Qs+3Kn6cLfqw713OgwYblqt0Jn+7cbMbzdn frs189ttNy4eLn5YHr6WQdXw2dHFD2cn7ZOjv16oNaMuNgbVPxNN4lNSpbDFoDCns/W6WtP4 y9OTI21cG7XeM4GNMhsuLKyJa8h4hKbg1KPl2JLeS8N+KtnYB8YtvIPGtAnCmLsQf3Ivn1Dq Jhi+hJpq1BxI4JjzEehWXT00CfQ/l1FNRiMx+lbZWLPhNPOqOlkFwyVNSe59LjD+OBtKyttr dilMxuyugXYS9ZlZdF51bOAgsVNHSror7y9VYdR5lEnHGXRCo0zig+QYyigHsrNkZ+dtNbAk chh+PD1+GQM9osNEvs4o3meYqvLvt5l4i049HXAg8HjIezLn+fDJgcnRxjiMCP3p3E9S65yI 4Msiu6NGi76GruKay9CnTRj+nB1SYI8aQBjxeC1TACXlnyxUSdgfn/MqqpsC+kzARuHF1ryy 7KrAfjZovdbUODfpCCmhn6HTzeWFFISCGucT0fjO6kX3e11tzZvYzdIcF5x98D0mk2TnRDcJ D4cRcqou/hwDSukerhHh8Hke0o837NqFsNyYMGDy5xmXChd/yq3SHL66R2z0LDroBa2N0+4H PEVy0ealNVPGhq1NG9z/h24emuLMoj3uBn4/4waG9w+4k4EcGWITsE18ZJJrOVe9rN9Px5zp 0ujaSB1H5kIKDZqxX1honsNE5apPU3W2V+nTlSJHqRRnxd5x6EaYsdJd3EyM49QdZS6EyUhq DVKqJ13OgMEpX41vdSjI4wKRzyyQBnLPDuOipY7P2w60h43gBnwX/XeFAOpFthC87JKtHteE 5cjUix/GW3KfyLPLYdaHqrg5QHrYzh4EqBf8SBB1BIZog5qZ96iI1CfLd1/KJDkpYq/uyTcd z3LoEp1JMjFW9LrjRg3iw1pXd11PtVxk0wWHqpuJITw9I2wEKJjKLciQRXSnbWC1dwmE4ydx MyIlzwbcpQmjsBknv7vU4I7CesEGkAkLMxPgQUdeS7A1hx/SYUZBSOokuyyQEbfs3YOBiI2o KaibyyKNLatrnm4GO88lXNcBIrBdwmXpuE/drfIOaN+DSN1mJLJXB6/Pj4C2ND82W5UFLs5+ wO+xwGZlgTcH53+RAhvmGokgoz69nOWBQSFepl1M5JApACvHHSTi3OjTJtHO0XnohsGgNfTn 47YURIVcSm9v4FTokQjdgd0JdljbwioI7cDon3Xy7uf9TKIlIA+wH3i1B0voMjpM2b1QTmid dhmIGdEwCm/k66bvszPWNaLjIVEFRksq7CCdLB5FDq8BN76Er+sS9rnEI0Cfarz3vEZIczhJ BQ8y/ZigsV44E6HILsmV87MxHBXdoyXCWLsBGrRUCKCUlXt1/Nc3R5og+ZaTenP+HaGfxBYN HT7b0b+3z49e1zk3NAKsfdDLi/46PiBHjWcfErjiwOEz74Wf2iGmBr6TxUNqC8NOJOOGRCpQ Bmig0Sm/U+gTO+BgckO8Y0oLxcF6l4xzwtnASC7q4ZmklH+UG8mBCdHyMpiOtuTRRVT09pyT P14iz5IPxJgeCtpoSunNYQYEYkXto1t+Mf8zmk0XVytvkTcxDyYYJavJmglli2mS6Aki+QbN FkKs5IPkY7tQEmEk2LwB5JBRJdg+gX+6UoTv6KwgvVQQH50lo2daZBs+PhkEjghPFMcVrDiV BT/fbCHWVLGSJpaceNBIyciKaB1zLf3sxknmSilKDkrlojqHd2HMzCsyfSOHjWxU9z2MNu2+ pzdejtM9cL9AowygknHXoDK5BFxJekmlVslA9jUGPgcEVbUNdPVZ9vjKhWDlOHY7hepLv6Gc 9tesew2daXHB4tjtZWUVvzE17+nqdsBgK/LdFS2Fo4mBM9tf9MUWAt1cb7k7KEv019OzKHHA NIKTwPk8zV5+U3xAatFzTXvc4cJ+N2cUXgwi10UHFYb5BTmNOMdCJMdRmLzUB6m5V8J5Qxjm xkXzYu1w377yc3NrjJOmy/ZdOnkBJzy2NoiNQ6C88Tdyf61WL4qq0S6Lhcxl99dblMXFqGcZ PyvUqm4RLnlSi/5cfPijJyVeITgQGHjWM7jAuvTGCaJhV8ltqg+8/x1XSe/JI1fJERDKbfDY VbJXDXic/4yohfDSQQOcc9vLMr4oZZF64tB0fi3zWFneZpzGcRtf4y/MakmwyYJ0wQ/+H5rd ciP5YUjlKh9RZpIxLkSGxMQZg7nMSHKTdmUJB7Ak2p2fW836RvNd9G202azVDd9W/Lq1zYE0 zMwxvlehyHaJ4/qhitXCNzkHCbeH+6YH6PhEeS5ib5zGiIVu5sB4d+9gqkZ1RHLImNIYsy/o LP6j8oR5NmR0w2wI+s+h6D9CtGP8A/lL/MPdyqmcivvqYVYFis7Dq0Cx+ZkVxHEvcitUNssv jSV5Ggfz2zErn/zmClP1qJeXqjzy/f2c50/OzacQdn9MplL83/Ux/Jz37XOWoXw5PnMZPu+1 U27sBLNKG8dc4Hg7qDegCHSveHFp7ijX3DC/Q1FJUgtj1UVNYGsDFJ3wtIyXc9kJkSK6vYfh JxThKmlOuBHRoNuEtq843v1OJUbh7nIRCVkLpyo7ldCdItOovIj/FCgvqi8hul2ULlBWJ9EP 5rAsz8QyvzEeO8FLkoR7navzpOZyKFFr+w4i19V6aUTnkDlNMHKo406kxFR8wCf1KruEQQxw s2B7cBDq704owIU+Y8tNOTqvND765gMFYLozaCi5P6a+3jfU7Tc4hJr6si6Kh1V+BdzkIM1z 8sO8QSaDNAhwhP4e6IS9QjfwtLy8Qqgr6KCY1hYaI26ogwY7L82hawVQf2CVhvD2wVnUdLay KuiQ29g2bg/ecwSmFfQVVOEolbDw82e07KXSLVvaDtsXofqU4Av9Onme/Kdz6xBvQUbrQzZm dOslIo5Sz0i25exoKQN1RCfJiTrN8mHuY6DAvUdO7MEqM0gyK1rxVHNKFVepl+Y3mWZBG6cf shECIpNUTeDFlMn6I+PoLMGgl1xNaG9Nu2zop7ID5J2TD5NhLOuggq9ZmW9xqTG4VD94jqtZ K5Qq7iH9xy12sVRRTI6R2CA51IJPori1pmOaJTbznf5JrO+O+rnMPAl6RU/w62wSsRXPmRoc iWMOW2JuBHqgj4GFEpz9xNA1rPNMstM+6zzD8Sw8e85KaeZtCyX4NyiSXt9M7k0jJHsEjVAJ /+VCUN33YEbzE2nc4BwkHKltEEbuXHL6BKWSZ50am3E12zSRODYgLGpu0uuQuNGuVKk14q/o DUc/qCfuJqpw9VUSeElU1p9ePalwhjhSXUJ3gFOzOXaNuQjJvaATee1fh5BaQ/mJP9OwdQXb s7aRCVnR1INGtI3M5YuJWt9cPXCYxZXsVAMZJLweOWGsCOKuQPXjw6MShNN6QiW2TjP1eBsf /PNFLaKU79xPojgUBycv14EhlXXw0zoZTdInzizEcftilpHZqhofJE8xt09CmA2WB0OoDSYr +FRjCh0ETxnp4xoq43Dt/QFlke585JgUl8fC2HewRbMvpy9PZQKcAY106Ms8+GVJMe1HQrsi fgGsjE54Sa/w9WZeBU3/A4zLwXAl6BwZHLQWkJjH1kWreqeeHGZCcaR1tt25ZODktDCK/ru1 vtWIXtzLifSQIojd1KJl2URcDidauo83apxz2DvaRPF1Or7EZlziNh9XBKUErT1kTcJN7uhA vqE+/slCPi+Ha6qPayGqBsnzUBRPWTDlrYX98UzBpX7c5h7jtwMCBeeYrPFo5OU54JNfY7zD ihzWIOERdPQ+vQ9SHlVHgTpJsT0alxPMYQeHKRy7KFoZhCrLHxS8S4ypBTNrXbENuinjk5Ws no2AzDItRZJByujbG9z9eAP9jTRs1KaQMnkPjik/ADk5qQfKCAjF+2wwYPUMG+tNnlPKyt5N XRiaW0BNSI1urNd4ArEhoP09O1bGT7+zVlXEuKyyq07Uqosd52TixyLcDi9C9EaPDVxLuBYe ctv22fzYbBJ1YFRSCWVHsyd8yn/VnaI3j5bpUVvGApu+wKKAkbpS+AYuuwfJBR47eQoeEolg nIYUfQ6LtLAwSAkYNDzV9COVqOYiorRDLHha8aVB0HoeNWtBC/pAYf3joDo+B23GddFSNWRX vaqdiYqoHXiUS3zLlngFoDaCQUhyTzObYshjgKCADqv3LkGUWkmKCZMDa5xMAgm68P6yWm7F mzEMpoiwd+XzUBFiBWW5cBIdnmZ4vogwmSeMQGtOz7gJ7fmOAK/GgmS6rK9OmuNLkA1S11ix wqJPSERwAOLghZXdkX0IFk9XrwQWqURIhQcZE+Y458UzsOzBt4bzUW4n4I+nNucRpKtba5nW nN1gMBrdRBZeUxcp8QYF76Hj1gMf1xhIkh5OnfnJqJfyvWO+Brg3/AgjcAcU4hoHCbD67JKR RGcpwkZ0KfxUWPD042ScSECftObhOo7zA7kY9aCuhAeUe49jWww/4TK1tef8ixkVgSIzI3Z6 cyi9YMQXHPELTMHkx4G7fMMNyHhqZs9Pb44+3jAdSj9iVswo5o98/7xhrO/7kIyBDKMXsN1M /m7k4gVU17vAyiqKFXRpMV3ohQ/GxVcYxogecziIteejm+GohvG8VN9Et0XkE+0ta1GMT4BM y4CQYnY6o51t1mcBI8DIaR9ur8/SQdbLdZnQRNpCyyi/6riS8Nrf9kZt0m0kw0lb1nXAAHIy +mR8mde85ImSuF81tmPIN9GMJiXrVdCmj9DAnR29DzQWbtXZBCaRIGfp5VsEx+6hW+foZkwp yp9FvOT0l11zqVSVH5GWUr4nSIwFUeY4dcKPqKzmwOIxKyBk2igcVc0HpKWKlZM+DnFB+KLS iAvNlethaxWdSHMaWX5JbX3lGzPaEA2g9wGkLnDbgc44VQNzbRzvfJ1LbgZWh8bKDqK6EaOq xwi+O/JdufWMqvJCaiX8aFo62ynXxzWsOQrxFvF50Hqya3iBfWGbSLZKPaTJlzIPJqDvLPF3 QH4RXwBZySWkC0sebJwbUHGE//Rqp7SYx9IKxWg2zNirX8kHAlKyQsC1gQNYZgw8yiAxwNzd pCm9rhUVRI95J/3NksMzFjiaBY81o2+XD5wqI7xUI674uHg6eYZ/KcJ8LDiwG4aWNNp7xph8 GowSmemivYpC8/lDLSzIbhRAVijY+2iHJr+gCpyZlDXSBDh3VqBnAssf4P1S6rORr0wP/nIU ixJ7SKkxZJOEZ+KGIxPo46urIN9wH+nakCvMV8zLoBdLRYAyxmrqFGcwORVTZqd7lNXJ+ZaN C4PRJQiV6AyLUwjuASzIcnnU96pkYIWdJDzDs07DJpeuKOb33FdmdlV5PXzd4XUicAhYsVNJ mJJ0YEFHQz7vvm4XBa4bSnZwcnpytP724Ozi+OD1+ivcImV+yW+FQo1par52wkIqDWvVmRt4 ht5Gn6bXFdtCznkgV3ZSPSAUD5ZNSA9CNme4qX+22+hvgdBfY8GkbIZEKcuexe4IVKNTcNIb c6qLyBQuK460gQrzSjgMKPhzsWnb9nwVpcuwT7mV4dhtnH9hFuXiISxAMCd7ko+FkWVd2tK3 7DT6nH88W3IEVmxFnPjVV/eEGc6eC2mHxtTpCZEYE07rMry91ofTN+C8N91H/jvCMj9evlbN 5O2QglBIrkNjmwJ8sn4bj6WvGwu4Z93LThmZDUFcQqs3pu5llXBhIOvKcdXYhDZGDKtGdAzn VNxIO/j+jG/GMNOer+/yzKI3NbkEXmcfb28a0Q9OiTuYrAOb4Z4sU9crzq7TnMq76BrmdUWH J3fG12S92BjVLzxAfO/IYbeTio4sMcKp9m03UDxx/n4LcmQ9ciEY/lQM79GW1stEmebrevW0 NaJ5/zef/1GSVwzuy3TagRow16kEWZ9YjuZ+1T4/PHh9cPb64vzoNcXKA1MJ7zQxg76tQuGj oPCz2aW/C5p+/kDhoOnntmn3Zo5Tn/BjivOL+ryEnF3J4UX/oUk+h7td5fliygg7EDEFmlaE gM2ZAE4toh4vnsJUD8pLVOTqEn3jXFuemgUJY8fdih79O65l4cMT/dTVdkRLGUR2hSYG9O4q JZnXROTxfbfcJldUVP5bcysNkRO/AWRebC3uhqwE6tfrLqhnzBqmytSTUHDDVu/rhzb2gU19 YEPn3EyzkfNtYQEAoAQBAPIW0AVgIyyBuFG50wGrOGCU8G16k44vC86z4uzBYkORcRIYLK6s +WslbY7oVWLUphFXWatmGb3ya8EQoXMz/LxVj/INswhABU7P4HBw2BB2+ib5GNdgztfJ0Gel 540ospn/fBaNVT1bOOdoW3L9ZmKlAmrttIpk1BILHRmH8tZqvoF44K2VfMM0g5GuXc5f5cz4 rKRn3foguWHL3oB3iyP0c05j6VpRs5v11L2+HSRE6IcyJutP4Yy0dijGUSXwUUny/PYadxJF ZYlCTRFXaMJywZ1thYSL5AadQS9TdFccA+eN3jk1M2C36HkLrl+FZvGpK7CB7H5JZpuijYTm ViNZZ3yC7Vk4fH3w5m377dnpi4MXx6+PL/4WV7Rhj73cGrdG/zCnCs+qHqs32XDeI/WNHqnp k1gJpmvHwj9C34aoqLdUdaLVGDoVo1EZerVjqDQsaoR+ZJxGr56xqj1h/h1Evte5qK3Xp3JQ B57PUMJ4qKxSInUnw8IjYf3+C0QGE6RpGyjokDiIxtVcHWbGXr0xvkUT0uh2In5cJieitjEJ cmCk15IbPBAw2eoZypUhfNzjVBxyDNXRtKT1/xR9htEbnZck5GBRUKClVcDcwCL3u7rA8Y6Q Pyf3xAzdk2ExRMtj/CIISjNW+yAFcBjVkFieagU9UFFpgO6Y4e1yKD4hspdBASLRncNmHq7K nygPzOcfNRQTuDUe5ctRBeKOjs/bqFJ5Elxw8rSsVnF4/38q6QhD4TF3bZ9eTGn/q0/sQOiK ngJMM1Sf5sJSeNNPz9aRChrI8/IzrYtT9bYGA6om57HYFtVRZ/pD8avf6gd6/uaRPVd9712G ZlDl0bgd2nDQgw0ISXuqZcfTt8DJRqKiUYOb33bWVGimKLMJuco4hpfSIHnaYikuDxd9lMlW hLQBfm97o1bsvvN2LK6EPg4LhRrENvs/WXNvngZatvXrLLcnyDvzhDnoAru49uMNvj5HswPQ DkZiTN0LVcZuW5gs3hsebjPsaYabCXmW2CnnRR6dcvLx++WdR0plSsei4nnz3LWsm83ZPn2M Al/iCak+fiDnU2pQ767N5Jmz+2KCXQOIwGy4NoOnUJ3E2INMXYRCWIDPfc5MgmboMrCt//lB 8mJkgIWiDFBFeuyuuy+qlXBfgM3/Ilz+l2DyvwiPPxeLb3RIDzD4xN8X96PM7z+a3X8Ut/+o 12Pa4Zk6zpWZEwzeEPopIGGmipKI8IEZjiaz3pIIuIXKF6TiAXn4sfCdzflWYAV8E6C4r/vY Z+LN4Y/sbTnlocCWZ74TbhQPvRFaUFwIzBCN69LQoJ3o0HJnnLGWUBlvOL4CXPwc/lPBOAjz r8iUOXoiJyGvVff94MumC1B6seZ41FzazN/hHZPP9WslisWk1dfdD21JAxo0jcYwhXTRNvRZ FEi6HiPnaUASY1EAjbWAZUgB0ZPovbZBnborT6klhceRPfgib6QTkyjcwFlakuCuc2yUVc51 0r4zDVGsFL/gmVHbXQ7gORpIBZNH3ANauOqB3zUcLpKB48nVCOmS9D3SUiV7vjmW1qIbf1X1 ReDq8UX4g5KOsIo/qBrKv9iD/zH2oLAdf2juYMrRmcUcTJ/eNN7A1HDJL6boA3/EZCoBW4Aa vRgxNpXiabrYHzFwwempKDSskyJuJRCXmmcRpmkIPRsQPO4FZyxGlnXeWsXcsl9CTSivu7Xc 4aP+4vT0NeaR/YLaxM8n6Y/S1WEF8hiq0vqJf1PJ0bf0dBwHYBFwyTkRnfjMKitmfQbIxObq Z9NSoZhAnO7VCF8DeQPW0S/Gvz5cSpOlDCpDAqfps8ILSKfkQVcSLvWwPwl50JQD26c4iShm feDKVQoHn1ZZ4OgDh7LvNY97MSEArdifQ2NYQo5TJWsY8okYg21rkqIWg55Hg7TAlBRtFYGP 8MLCQoWj90JoG4l4MBicWTUYZJjZ7Ks9rvFbgn4ig+AkPn5ILt7Tmkgcu/AbqTIfq2v4F/Pw P8s8/KG5hXnYg2n8QDHCuRLiX46SgfhXQdwh/buoDWQtxE8fQ77IhY/WmpkO54EgVEuiZWXU TwvxsoofaL0L4BSG4bOJf+p8HOZxkAzee9nq4SYdN0cuFlKZ5vjkhYG2jI04wND/hJkNRAVK QVjpFaRGNFOhTM8erYnAeZJDBPATvXqUfuSkpxy4muUWsHXCCILqwOmA4jiCknY7xsY5cZ2P LjUx2+vu6S1kuk8Gl6MxFL6WihR4iQNwWegXMOaB/Hmtlze68/r2l7ngRi26s9yOg6zjfeFC mzUmRhYxyimSqmpLl1x7q1bhZZsYE6ILppIxbdfEiUcOa9/ngLeu6rKMLpDXRUtLavkd6Bfd GCVZg5JU19KIkCXNeSziSLndr1tRX5D/qnZXbLnR8VBwchUf5I6cj6PW+oZZnjph1mrcJHHF giqcjsejMWUeo3be/FjERr/Nb8nLEiEz4OWaJNmA3IfFPxDYsDXG0Mf3NueQW02zzlBeFK88 6k+A2v79NiOsUNg/9MQcvs89ggtfysFoQv6X0MqSj0m/yiZLuprmiL5xjsMulBnHo+zlkHOX kPUAT7wHHVa0UINLjhoJdcKKYqcF9GhlDlGFUhjKXRypK6hDK3bopYjQSN22msWUdOgNv9yT fYKvR5YZEVBTzR1C+hC249P7hHgpFmS+5CTOmZ2oFY+K6keFvpvks2vcpkcdkFoEzUte4RBN /mDIgGiMCCEupR2SqCQh+H3B4ZPSExJuGNl5HCzqcnB+l+Wyy44FCcYtKuqdLgE9+hhy29j+ z/dRzIHx75V78BvsK9cCbDOox3DOSmE5JNm5qU+/I4pbXxm07wbHwANE1/Or0XjSpewQhriv cfI/S7aIfDKbZYWWAMfH+X9QaDQ9Ab3xiMKw+dXxYPwagyje0Ry4DId7jZbXPDMw0sktXw+k QXKCPYYCPHCj6+uRJMcoIOg6P2CmPEAWHcrbuSVzXtPKFJb03oYQVoTQR+cqkR99lOBGfHeN 5rcYWi9/+gNjiiKAG0jiFKtXj/7PKBtiuFr0C/xCfrWm6PlN2oXVxzLS7S+cLh0qn97IUMbp oByJPz2Hc8Cy+whY+zFln8c18V9z00OZ4FPlkqotFjbA1YISFwzeopwvmjFKJoxSiW6VlUPH hiFpFbHdbsiDUcKGg0KCk16Fm9ao8wsmvKRh2gzXFE79cWLQmbBVVMWALI3/xTS6rke2Vcyw U+TFoO6H7BP+iMAhcYeOuw9wHKiAAW+wtol1EwvA0pUFfeaUSlWDvsbsMh6UxhC2Rc2B/mkz WYiCMUyZDpSqmpDn3EnUvZulxUIOoPQ4fGIguoAkFgQrRA8osX1sQ8jxdPXvlUvWy+EDns2H 5NnVLcpKGoEdemet+yS0QZSD4fqodiHNg6TLcjd+dYrGzST+8h2GQmnINXjpV7L9eunyZnRX JTTWJZHbMLyztCilNaAlyOcZbrQSSI3unFi4H7tib5Vm/NMcbX/e/VI9R+JIA1GopRxG774P JUOmo78uYoxLtLZ2Ce9fsp6Pu+udBMY87K17srN+3f3Q6EadmV8vsp/p3s5GK9lPkqTVaKS9 3Y2d3v5uE5i4ZnNna2txbW3tgV4WV1dXH+rp3/4tWmtt7dd3o1X8sRfBB3SbgZFD1qENZ6yN JkakuzE+b8yujUd3ucNBp2XBT2qLES4mvvv8Si46coptEOWhRoB34hZcljV8ju9C4BrUpQN9 WGPC8GPSPYAP8LmGk70iwnF5BKuzipvuqL+2huT6qHcY3YoMz39bNdN/LEb6KtfhV/j3S53X c3uvvgPruY3LCh98/hJoR8NLIHo38ES7D8gw7/6mJxZ6oa3Lzdsu84HvoKwtzSFxHBoCI2vL 321KMBJT9zWsQvPa3aR57W7X97/UvOCuTsbJMKdsY0S3gYOE93rM+c5QlqUpo4BDX3TujbhC h23hHL45Rt8JmI+U1umoSNLmz2M3OFq3enSdw3++kWWliRL5OBIcMYHDJ0XzDfJw6TjndFHO PeJaYGrFFhMH5waJfPEskXdk/FWp3FelgkRkcIngPyR/fsyu4XXzcof3zMCAX2R04HVPMBhY pTNnjVLHSW4KJIZLdImnWxFN8K+JC382HchqurQAH0AeR3UrCGt4IDY26UBsbO59uQMBNDzC /5f33g2FDoTFIYOD4OdPW2BOOT3yweodiC6LttEA9tnpclvKv6nw0pAoaxK7uDHMq4ZHgLje 22FGpxfPGq22UwGQjUPOFotWmQFXpSXcbO7D2q1utnbr+5tfaA2ZGOFk4NWEjtrmuTRp1lk0 XNe2n1I1kx3aWBT8EjH171Vuh10055tj9gTec14MfOmp96elDT9gkwn7anL6EXxiSV0Di+ku DPXvHZYMOH/pGuE4ShRdDwjXqahQLO2FEcVgess6UTRlELXkPSfFJ1keWGLtomWivD4NNURw W5xEkd1OaddxwlDWS7QgrWcEt4dHEVuhhlkTcT3KBY2JZWiLZMhcsW/GVPNhHKgJKGCw3aEm si+5RcTJRsiBTAW5d9bwYBot3M5aoLTipiRfWw4iO+IEDn1Dsmqo1ZIASoTOo41lkcUuHDfm Lrwd7MsRK1NGwH7xyLhhzME1SLrs0sSikMJQ9jxzSBRQ8YqxMmN6GOxmHKFL8TUaZ5cM8kx9 qNhUWDw6BD1BtaRNpRuYy0W5STi+GmjIGgFTFJgNznVPvlYu0ykuCa3NjENlAs6xphwtcwO/ 1b9qhMhEKr6YeQj8TkhVCEz64INGkkypEY/mpSwSy3m/eAnDwVY4fz/XJK8uvrB8k5iaeOIX rWjRp76PofnMduHsKXQGXWvKNizAQfY1yB+MH4crNVPTusNp4EhSEROiNVp3Wk0hP34E6C4i 64RYfX4L2HhmixmKXlOMPd/OimLQuWLOjR4Ge9fPyDAhkcacwtVBHVPvPDCYYkPUr9Al5yNw 3TVxqPR4+O6oiCCuY+UsR/8ECvBB54GZdbGEGSX+F23ABSpCwitvSXvMNlKmnRg35QPVWMGM GbPEp6JHgB3izKcnn22mMtm/I8FCF884/oBoQjBY7rMeDYXvk5HqEag59p8Uwm1qgJMbpcQk 2jUvah/4iNYlGZLRlueqjDU8SnBE2M+gqJbQ99i50DiHJgzKTwXTDTbFAceaDQ98dH7hRn/h RmmX4C+HIOQPxc+/vJPrCSI3HDRU6GBxuvzwWtcFOgMLWh1mxPQTPl17DsvwMs27wE778wJf WDcpICecuIgiv51STjexzmQ2cwmKmAoYQHQ9L7i32E193o1Fo/OUnUWPKcKf5JK6PT+7jVpd xRQCshJmNj1+d5AU9wfCSwYjVs9st+PfTqUKzrlNDplQGjHl0d6S0t/ww+7xpuYkcZ50Xep5 NXgGYMb6DvhzjY9SSISF9sJLza1WMVHDgA6XuKYyRSbbu5pTiV4RjaY3ziZK94fTJhD3R8vp BSP5ig4AinDyt5fp5AMvGMOHU1U1wL4P8vWkN1nHqFj6q6SvqSwjSptOa2M/6Ww393qNRqez 29vb7bc6M5Q21W2VNTfV5Vjd0GqyvgF+ksLh5pI0sl7ZM+r80kabejqOMZuNyBhoopDMMsSP tBG0LxKoLmfNa6dD5Ih6T91XQYLm0re4zO5DzcXiVcWmvDNpoMQiY4IzB8fmnK75+X1OQH+t +Pzi4OLorxeYNyQ6Jb39ce+7dEKPVOxmg7eIF2Rrhxdka/dLLEhpKbxDYlS5GPZ7sxzWj7G0 IKYO1Cq+CQdnZ+2Xx2/OYyAwtZ+b7+RxiOBt4Blvb/OMt3dZh/d5M67eY+egFjE1lo+BKiJF wT06b8MutYGecyPh3J1z26y6mJHl9LuzgzdMjquWScfwK60U8Beic9skJeb23m69tfkFloCb ZwW1n4c8yDg7ShrRO59g7Dda6+JvOrf9erT0dQ7ll+qYkAJ1BH+OMDl29CRaUqgR+cKsyK9e GV6aMS/E9M58zu0pXdI0ivUPr5KxtLFcW67xes5BFPN0gL5Is2iiLyIkcT9t7jc395Jet9Ho dtKdZtrpdrfmIYmmqVkU0RSjswBHodWEs7CH6inRqWRd1eGmf0dzLNRp5+l1RkdhdIP1Ce8o Yr7GGmEzNBm3x6T117boxKifQ5t4CwLvgj8cuagCbI+UdypYedWsjL7maAb2qu0V1x50v2a7 L+e1YcZeUMdxYvTr5P7G5jHDWYpOXbsgN4+egP7Id9zWYEQ+uprD7CqTP7Ex+jXn1qtbdLXD j6UVs5zyvc4IGI10nHVnzUwmxdJIP8kGt+PUNEiMvzaX07G3+X8oRZrMV7akejFIR7e3sQlU dXVzryUafbfxMFBRLbcZBa3Kw4B3FjYWrQZOIfmdMHbQRNlxRkXWH5Nx7rz54Jg0qC4sNukZ +CcwPpjV4EM6cGoW59oiZzIarrk+RDNpdclOb/EFmooE9win+9Q7xJIsR/4BGEzB+p8sN36y E7Uwku8PqYIjSkhrXX7QPH1JMFuNKDpAydxzwelAr06U9DHpAjrfYTAYNRRMQU3YknsGkQFR w0Kqx14wpslohOlJ6BhstTa28InZapWOwdz3v+jcQadPtBc5HEpijPAzNTJbh4W+JIrExGAk Tq6J8za0tvYcP8XgT/+WnryEx/T45PCipo+LKZpH35iixyevTk15fJOb/IZ7S7SOSy3Rajri casuCvfdZQOrdLegtUTTAa7lxsbeF1xLcSTV7DAoXqDbjdFUy1GhQx5Bjynm00a7Dtx3kAXZ e3NALQn1YB3VdZqgv9M1NIHCFraWswTLYM95g02flkAvrtJ/P4NOV9Ok6JMIdPQJBLqCI8iG 6zf53wfrPZD1x1kn9YxA+Rt5/zd3NrrNVr/ZaTYa+/ud7nant93rVrz/FS2YZ7/iWzJCbW/R UaKfxPtqgdNheoEs1EvyI80565ukx8yBAFwnQ0xZ5d7kCHgm+Zc0BCv0WZTrrxg4gdGn8GeW oz/cDdroooPziF1S8/p/DJfCxpZ7y9BCMrwHIeUj3joqToda2buKSv2qSkCT8qDOWlDnuqqO 4VuxxuqjatTLVa6qqpQY1sKEXp2dvkFevAuXcTC6bMCvjiy0gf8mIhEFVX76/ujsCD7/yNCt z6Llr/PlQrOnZy+PzqIXf4taT5fqchD2SOzbIBFg49NPAlJKYBm61zfx23+H54ZBEjlguB5l 9WgXE+VOliyZVKHAsepv//3o482LWwQ9nVswqJQNFiwy4YND2wuHVohTmjG0h8UIGYqYF6e3 VYtOT6Kv84g2/uscdmc6FZkknTV8TwbppIKShN+qgqWf7O0n29vNVqPRT9PORjfZ2qiSJqa0 UkFRCiXoMG21doiq8E8UJ6FkW0plo2FwhlCO5Oy9lBmFf02RgEY+duwNcx3x0uHZ0cHFEa4t PsD45h6ew1/0PTA1NTpRh6dv3r4+ujhq/3R88X28FGPx0xPeiEc3CZ/HS9DuWqld98BiXSv0 4994XPloPrYW/PAH6tPHvFJbqlyN0kJ8nya9udcXs2aUjqQopdeFTK0TxconDeAh5LjMKCFH M0ngcO4m/eZmo7G529lstlrJ9kb5aM5qyR/PWaVILNkktR/+AGn33/5tMfoH+hVM8tHtuEtp DJehivpuLdfpS/H1wC/x0MqnKP3SZ81l5KLoM2T8kDzjx5mUk3gi/ij6FX0NVv+ExN3Yl5Mh JbkdpeMusU7s0I2acrRT1CnzVbK4WjVW10p5sFSrarSrc422Q6NdXYz+hHxSioxfhIm4Lkfj +4p1Q8eHigVDdnGSXN/4RXJDcd/FWLcmlR8YVZ9GNc9RxOis2UdRS8hR3Nne3dhK+p1m0mhs NPe7m9vp1m5nrqPoWpp5FF0pYuf39zfwLNLPTT6MEQY8wOLhy5rTdP+hZ7HO+c0lPIUCn+vO R6Ueuqz8yosNbcFA9KCQ1aktbjLkEU7afz2S/4goiQiU3dza2FmuMx9AHxyvn/KhgQZxZKWj 186GUAG+HacTDqgvnU2pDnNj4QJLdFnHwFXNSIN26QwGg9t95OBGt5Py6FzfVQMrXKtpo8OG y8Pbe+Twxmn3A3fyYYQy1oDL5K7a9EUtDZyksmEycHUrx009lge+/8iBg2jYqx54cdRCiD5j qakvJkfBoDeFnPlxcwBcLpnCS2nkHpiTK0VTQCMhFgEK0OSPspwzejH9sluUp+7DeZYE9mA0 7j28JsgVbflig0FQ8h+2aB2L8n/axFzJf1GgDv7bH4ySyV7441c7lOtRTzvI6ll9VPy/oLCh VX4oI4rcYZLFCOh5nRHQhXah20Jd0c0x1UVd4c3pD0/ZehjcNwEKxzEvH1BsTH+dfcB1F+X9 8gemtV+4nl7Z8sQ67MGDLAkQSKlI6SVoMo6w2uODjZDZBFU7WHX6EbhJxphMYMBnwLVmTwZs 4F7F1YYpLM/37gWSYuNq+nNUKCivYLq1td/fT/vpXqPR6m91drea2935XsFigzMfw2JhfBO3 iTvbFpPs4cHFwevT7+Ji4frm5l6rbmPQzlJOdXVM0gOU93GVIBG7P56Se6z7Cvitfj8DFhz1 U3GejrNkkP0XehuTizQ0Y9l0bMn+TY0FBSqb0Pcbq6MrOftBoPtGsfjqQnDxobyPU6M6JvK3 3NefMMa0j5Lmr5h+6RpYtqRdXDm29e6QyL8jdl48Yr20P71StIJfVbQV/QnqYZLpCvUpTHO5 t1xV5OXR26OTl0cnh8dH51CoX1kI1gfl5eXrZWCWS986gycWuVrGSfP0RdWB3uh/fXt6ftS+ OG0fvj4+OrloH56+PKKFmusO4aLM5h21hMadtPZ7G3u73Q5I2L2NfnOr3+rutOa6Na6lmdfF leKogg2OKthguy2SESgAL97N7aQoxQgDBN/Do5OiDrdYgFkQaQSf2lIJeevhazhzl0PHnGP5 yYhicPGjj64Vl31OH9AKhmMbGoA/2/n9dWfEJPHtd25vT49fFt/2wCBRYC6hz8onnQdJqWnh m7UW/925pxxPJE9odZVt6ONzLpcNzYKG/K7UCte8yHWWF73I+EkzdtVLLNY8y746Y9nNC7i5 UbXoL1++Pjx98+bg5CWvemRXXZlKRsDBB1F9cQ/Zty7tHY6urxMcquy+3Ylej1RA/L3di/Pj /3t0+qr99vT45OLorLgvk1mv3RAZlPWxUP3SG1f8WnXqwC42d1qbOxgbtrHf2d7b2WjuTr+j pWbKF7RUBG/n3vYe2dLp57alscA83sLDUwyfJv0g5+CUYNmnnJ3k+GUJAy1Xj8WoaA6XpwVN /WuDbPieA1yk2nIuTtpkAuP0AKiOlkoeYo1MYmo9TTld6LoLiiIrWGWdvFwpWvCBFtEKur5L TbWCaaoXNgU4D22s+mtpkSjQqPwWhFY4aL81tVT48ixsTC0or8/C1tQS9gXaQx4TLdSIbPP3 WyBQA4QwOhzALUlz/Hj6QTaxhfCkIivRE0Fdb13pcM9TRRUaW93uXnc/7fYajW5rf7uf7Pb2 mtMP/FxNly/BXNWI8dine4E/yMcES4+HwNi8tGzUiobzBP5UcM+U44lJnoxW0FTJvjrakIZQ PjYiyLuYAP0qRQdVx0UGLr3TYySnBEcGPZYCJZ+6KclU7Xz8Ovj5wufVwzRNVa/OrHVddRtk wBMqgv3nWeEgYv3RS7wgOBG6jrRUqGafc4TTZ7nq1we5C3SCPr+9uUHHe+P9jHmIeYK97Nou KvnMmIJJDwMoBZEmLjeJsZNk84C/oJz3pGGXqnTsbdmJAIfRk0JBg3vqQ8F9YztlD23sPo/L dpV6xNYXF/m5krjei9906hWrkdt543OgHbKB3nnzcGMcRZBor/wntCufU6qgqsZ6aJJ3bbGB PlFLPdS3Q8rz2xtzCKrGRHgtxvY017DC3V2xHvS2GjnTB+0kuRhE0aW+DacFkUnZwR7+wh8S 7dzcr28B/97aEaOr9GehiMn1el5EFneMoqANGlEuLjNV39M94th8f91tiU9AhzGE8bfDiTGf fxJijClSxI4hmlCWJy+Qd3jZZkaAWNaTg9ft75Fbmed597/OetFtKXnEe9voGL/T2thoNHaA Y007+5v7e3M94kFrM9/toCSd0BbF2OKPnb0KFlYeEzhX8JsGkq9wZL0weRqOFkTzRL/Ct1KZ zhyCArqoNspQzOGFXr9B4W5Ms9eLDBnyYe03B98dH4oTSvPj7qu9w+2d3SbD8SAmnmlqZjuY mb394uAcG2sxK50Dd+uVLg4ClAZ9nXx0SCLZ0MIVRjFGlw7uYQ062WSMsZysXKxNn8Jf2y9+ OPzL0cV51NrZ3NsyaIn+ZaNePOaamRcGU0seB+C+4N3NupSFS8FiLYxaOukqEFRxUwVvmNGT YIqvDFyesvc8ZYneI+UxYpkEUCga7Xts8N1YH++eRmgnRRESo4jWUBncIHys+5RAuno+nJJi ISibg6qNDXLRXQgxvGazTGelzjm7mCQCdQg3t0A0WjsMA5ENn9oug9TN4dTobvKqlJCOHx6G tmHGEqcfpaPoQ96IXLc1txJ2oMnHcKA2aTTCqix48Ggad2mj3aFyew2kFeSWBGPZMPlPLKFa k9EtgewhhN7g/quakwY3NxYWPgwQVqr9VEaHH10nl1lXSAD9HmleZkZRG/vJYHEcmJSm2wXr aa4RXcZaWMPBDi2EYAd6FWOHbIQEqFjZH8CnYXVzMqkGi+Okf/+ZLyre0ZfHb45Ozo9PT87f PRUJnc4ABWWxsl6g0PWgSBS0Rc+la2q2wKHlUkuOU+UzE2MVbmrU7wPL7A+EhwdfWQkWxZFe XYrCmCxBDNGk64TJzPXxVLtVqYd0JXaHGO7IOlJCvRCMFaGZI3JpLPejdjAqQ+4SDw9xdwsR ufLLZ3yE3RoFjPqPJy9Vh+8kIx9wRNBjyERfI1dmBaB55MzptSvFp1LxeSWScj8h1/kCZSq1 awD75FipPNZPca8oDKIoP1p2b7ZUxlBGLfTU32g22RW0ggvU4T+aHyWGcxoLZspUuXhXyOMr 6vHc85BYayopY1TDVZKL6mHUb6NaKuY9Eygj8jzDtwrIWY+8Mf2GzVMfF9NWtxJRmddlnPt2 J81tRFXQoniklrQOqB6bMtxZFSrHV2ZmvYvXA/wrhwu5UKEi41r8WmOXdvf6m810d6/VaOzv bWxtb2/s92ZwrKVmyqxqqQj5G26QFQR/tFrm5NL9IWznrNsFRkwPTZU//DGO+G0CBHnlBv6r B4/36O8cVSSffcctHo4Qm3MFG84Dselz44skmr7KfX2237rWLLmvV7b4YHwRaTOjV4Kezbwt 0vC2iWMjQ1olpaBJM81PB5o0HUMAqqhE6eDhXq2P00sMFVjXJOTr3XGKgQ2kwG4jEmoD+ajO Y2vI8dzq7iXbnd5uCgLV7ma62dva2m5VGLgf07I/sY+pxU6z7IlPP+CDY35HnyxGhwx7jdzT GNZwgp/hvyVgxCatdtImCJil6PD7o8O/RLHgeya16Hm0UVv09EjjSKD+GtW/gX3PuksNaqgN ogS01SEKtRTF7h2tB8btOuojyEs5AXaF/ZS1OtqePqdZg6g9rQc4bOdHr48OL6JuA94H8jzH aeW3HQr5IJ91hj5W33nzWR3/5s3P6Pcu6uajbsRO8/TXiJ3m9cvlJ09gE7kc5bzs/MIlsgY1 xF72lGaqMeUL+sB54+tUbMPOH79iUk95s+Vz+v2f7kv41U553ns0uhm382QI9/TBCxQWVV/d ja10v7O9ubnfaDT3W/v9/kZ/r8KNfK4mH7oyheKkBd3fREq/Sj9JbyYb2LBOouS5ChsACxh4 gsgasgrA/vun/tKEXzOuFjh2zF/NeXvM3dtq6Ao8/yC7WW8cFYqARDkpflao9vF6EBWLkL/t 9GrJlGrIniRdDBsE2fEepflHVpvS21rcakYCTBnDfgt25CKccGABw390m+nNpYxRxa+pzuvR 6D3ZrbPBIL1MBg5Pflio3c/SAUalzXmdnEftg7cpKKmXKe1tbvRb25u9RiPpb+ykG0mvWwF6 MU+LD92lsDR5WmEI4eq2BBIevL4AQnRx8OL1UZR0WtHLs9O30eHp6x/eADVGStTxJ2ySXsLW /TPYUvMrnsxHFJ7jlYIBwTvSZb58nheqA5wzPwNQtfg4Paa14sMUNswH8mhImO7GPo/xkBLq JmBkZHjPcveGoU8aEnV9qkJ3KxfJRWVeH//lKFqG/r5eZlPQRnMLNbP8A73kKHLD8PRRDtdH nlE3YO8Dtwi08eD13/7vUfCZHxnKDfXAbQ5fogeG6p45V8m8cyCjacPBUTD/bHfVJSK8EvJv de1T/8FI/tGr9+vXv8JI/rG0WY+2lp5Em81WPcI/dtwfW/YPLOb+/hVPlE7nc+ZjZ/EZM1qV GdWvPmdOUUx0Vsns90l+FR1cAhm5BL61HvlUICpMAfm8RidXH8XsjgYf090mHVP6gXztyfnR 2QX8uDg1LpixHNI6oh4N0nGr9oc8nnNt6Bc6orSplcd0Y3u76fd0r9n0e9ra2dwINhVd1ptz HdV55/ZljivNbsqR/YT5FY7tzQAdtzl91HeEl1B5hrmA5IWBE80Hmo7t7i46H6/iD3JROfrr 29cHxydRfHh6fnEenb56VVv0i0LCWnQ4GvaeRHGcRMfnDItG/H/ccX9DnXjb8TFrZ0fnRxfR OBn2Rtftm+QybaM24SlNAbHGOB83ydCLSt/5cVb+UsCm8yjm0SQRYj39/K4u3gJb9U1gkzc3 6xvN/SnT0Du1wpfHt0x6DL46FLpNk+m4UO4uSyavyJMFp02FaqYUfdKlSW+6Sa9OmzScJZO2 ZHE1mK/JZxLzSy50guZbtx9twFK/OTo7PpRPE6Q18nunXHwzegndyEddU7ZHZRdXURNSNWLK doj532Sgxycvj/5qBtpOOm1MJgkvsFtTpnO1mZW6WsvOWchjjZeJh8LGhvguldRXGGpnMkBg 5GCSB451CeMCUxt06geoQq0H2ZBywQUxtjK0PAALbil3xdgM6ab103N1PerFWX0T4775162W /3XT/7pb4wPIydgmKfk3pXncqm/DFa9FeZzh9PVV8COAD6tu52rhYJsh86FOom+jbTmu30bL 28BXrVZRvH//4ejsbxF0cPIwQXwE6WO9Lanio3OM/ATBw57/CLXhjO7rCcu3mAdNiAqN+ckT FNpqvOZrz1UdLBSp3K4eMDPVIvGa0Ue8pfLYl1pzVp3gp1NWf649+Iyd+C13hT+j2f0uO1To z+4W3njSPRoJxVEhIzOYcbD/RVzWyTlhIriD/7qY/7qY/7qYn3IxRQ3lX+QoGYwkKWMvSy4R bH1x9eLsh5NDvK3BBSMNzYz7+/Qz323gr90Tjb9Hq/LHbvXHLXzcs/+Bl3zTHdjN35dcmOPC 8kQFN1c+q+WTs2lOySadko0vcKc35U4/j5Y3lh9corku9Gfc5t9guWRqpYtWWsL/bS/gQwd6 5kY9eo8+ncKWzu0XpKblO/El3rlH34m5rsXn3YwvtQszr8NvsDOzr1/4ziUDdIeN8BHAxD9/ v9XM9ZJshdQdlNODX8Tf/c0zM44PD86P8Myc2FfuGZqmLvBDGubRayhjvj46eVmrP9jIt8+i 1oxG/AMbzd/gxhwNwtNcajCT33/v91oUYnIR5a//je/2dE3fl3i/K5dJKNbsRZtn5b4EzfrN F1JJypSF/d/1qv8Bjv0nvS8zTnn0pd6UWTfp81/9z7xJc16mz79Pv80+VVyi33zfqi5uQSHF jm1XyfCSXN5vhyr/ssKaIwFcxncEIZ6UMlT7S2+dF8wJ4I/FiaEXYXBP9OPB2eH3B2fxzlbt X5f5f/AyVxwCu/W04/lnbnmXt1xg8f9Xb/fvyrL86937o10Vs7DWMjzNUupNw2IHVdOwmELF TOo+IePnz+/Y4lktQLkm1R45TXw6ODs7+NvP173tOBPRsB7hX3G21qoVPll1n7yrl5qQCnJ7 19HcX4+y4gfSiP1wWluE9Ezl3z1C9pnBULbFKX4GV4kdFa6GrGQlf+m/m2Yrn9MxEYnovI6+ hbLqnLi909vpbm9sYgjHbndjf6O/09+f1zmx2OZD7onF8uSIQelD4L/73s/3ptWAovREcE68 KF7uLteXe/D/N8t8k7gMuc6hGwK5zx0t/8d/tL9eXoyizc2dVvTPwC8YP91qbvCn1gUQvthq NqW4mvJhSxG5ij90W4ceERst9F7Nry/Hi2vO2WM13gncV98k70FiQYdBxHTiMDsMmCO3lMTF YEqWVwmIHN2Oo9HdkNJUO1comCfm3rHzTXIqQiHw0c2G/Zwa5Nj42WcIob29tyj8VbVxpUJy ajaSdGtrs7W3v9doJEkLjsxWc3v7gVNTbmzKcSkX5KwYGLa2ij+mO+xUe/FMcYB5nOwww51n 7Ys59Gzt7KNDz9bObr211fyCDj3ozPPZTeFvvrkv0GDgbLQ6w3XoD+089ID70O/uQPT/exei KbztF/RW+E2M8L+Hsut/89L8xmb0P64h/ctvWmh7/E1Mbf87T/PvtTC/o6nsX8ay38JY9qWP 3jQNym+sEP/feEv/R5fqD6LS/g0W739EV/sbzOP3Omy/s8LuXyq7EgX+DZV2s9V20yVVOBSL G43WbmNjcfH/BXvBVgBRzgIA --------------193EE1185FB488F8B80DD9DE--