Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1t5UNb-006PwY-As for pgsql-bugs@arkaria.postgresql.org; Mon, 28 Oct 2024 18:22:15 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1t5UNY-008vYh-Tv for pgsql-bugs@arkaria.postgresql.org; Mon, 28 Oct 2024 18:22:13 +0000 Received: from magus.postgresql.org ([2a02:c0:301:0:ffff::29]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.94.2) (envelope-from ) id 1t5U9h-008skk-CH for pgsql-bugs@lists.postgresql.org; Mon, 28 Oct 2024 18:07:53 +0000 Received: from mail-ed1-x52d.google.com ([2a00:1450:4864:20::52d]) by magus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 (Exim 4.94.2) (envelope-from ) id 1t5U9f-003SKg-BS for pgsql-bugs@lists.postgresql.org; Mon, 28 Oct 2024 18:07:53 +0000 Received: by mail-ed1-x52d.google.com with SMTP id 4fb4d7f45d1cf-5c96df52c52so5772776a12.1 for ; Mon, 28 Oct 2024 11:07:50 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20230601; t=1730138870; x=1730743670; darn=lists.postgresql.org; h=in-reply-to:content-language:from:references:to:subject:user-agent :mime-version:date:message-id:from:to:cc:subject:date:message-id :reply-to; bh=Bx2Yc2nbVbKkD5MuehWK+T/WS0sN/dqLgF6rkryYbx0=; b=kpMgxArGqcIYu/5kF7NlcAS9VogZY7MlTB8vo0S3LzP1Vonln5257XJKJj8Ih9MLmi /GVthaAIxt7g4sLthLMziyd23hxYOkl2kP+EpY7yCGLz+lX/6d6ObrTDZzS4bCswiENk 0t1oRnEeMpNr+Kr1qEdLFwq2MPWmvyRlrpKhj5LWyPLmkeg9QR4drZbvzR0A51l3OX7H 8ZY2LV5Uz7cvitAKNR3VNrmdM2IagjdNQVdn6umFs1MeXIxrQiF1p7RkP/BTYJpUUXid 9iIxFLbwIbJiF+aPXHDZE6UcYGGty5DwuTUHsSnakI9NZZ9D+Dwz99KVvM8Gzxy+jif2 3YxQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20230601; t=1730138870; x=1730743670; h=in-reply-to:content-language:from:references:to:subject:user-agent :mime-version:date:message-id:x-gm-message-state:from:to:cc:subject :date:message-id:reply-to; bh=Bx2Yc2nbVbKkD5MuehWK+T/WS0sN/dqLgF6rkryYbx0=; b=p/YHprWUZVtUS0/oFHXklGe2NM6ier9i8GIXhUls+sHAaIiSdPvEpNZ4Fy6g3K5sWK L4zsvG0URd7kENc7WNTLwi97UDLzz/WIzXkO4Fq8iJsIY2OQYTjmy4kllxlYwxcWXSLg +O0Wll/6IHxH94MOp+yVtS2vFga+hCjrMZlvq37MdoKo6blGt33r1ab3HW+7C5PYHYzU lTmUXq64iibJWYfO3n5wfOovLKTHPvAZLu+KUftSVempWuK68+/WEYX13O8swLxur+/q UYMWsIUI37If6VBbTJWxK9bLYVtMyBpG/vanctruNuPeomGi5DsnMvQFZlaJnummBM6o /K0A== X-Forwarded-Encrypted: i=1; AJvYcCVThYjsjXE2hotpWeovLjHwk0gHRZ7IGl8ImtgFX7xcIw9F5p6v5rWQ/PzTf4+zknfE8eTb2FXm3FlK@lists.postgresql.org X-Gm-Message-State: AOJu0YxE+2xUNRHoNPnlVTwCKYI7asTGOtIFnf4eSPJr8a+C88BPcE6F NWHdlqsXkQJs3mMmo5pv/B+EYcCMAzn++jM90bkuMsshLopU9TVW X-Google-Smtp-Source: AGHT+IEEE3ieywaLUFd7J90Eih/DcAaTG5c+r/RRP/rzS/K+tJsE9jHQnlI6rKtUq7xyaIB3YsSiNA== X-Received: by 2002:a05:6402:34c1:b0:5c5:ba82:c3b1 with SMTP id 4fb4d7f45d1cf-5cbbf9429a4mr8312411a12.29.1730138869610; Mon, 28 Oct 2024 11:07:49 -0700 (PDT) Received: from [192.168.1.104] (89-74-76-143.dynamic.chello.pl. [89.74.76.143]) by smtp.gmail.com with ESMTPSA id 4fb4d7f45d1cf-5cbb629d2casm3318317a12.32.2024.10.28.11.07.48 (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Mon, 28 Oct 2024 11:07:48 -0700 (PDT) Content-Type: multipart/alternative; boundary="------------uUoqtfInfUfEpYckdRFVN1bB" Message-ID: <60f459d7-9cfc-4417-8944-a44581edbe4d@gmail.com> Date: Mon, 28 Oct 2024 19:07:45 +0100 MIME-Version: 1.0 User-Agent: Mozilla Thunderbird Subject: Re: BUG #18675: Postgres is not realasing memory causing OOM To: "David G. Johnston" , "pgsql-bugs@lists.postgresql.org" References: <18675-39a45505fb472bf0@postgresql.org> From: Maciej Jaros Content-Language: en-US, pl In-Reply-To: List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk This is a multi-part message in MIME format. --------------uUoqtfInfUfEpYckdRFVN1bB Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: base64 RGF2aWQgRy4gSm9obnN0b24gKDI4LjEwLjIwMjQgMTQ6NDIpOg0KPiBPbiBNb25kYXksIE9j dG9iZXIgMjgsIDIwMjQsIFBHIEJ1ZyByZXBvcnRpbmcgZm9ybSANCj4gPG5vcmVwbHlAcG9z dGdyZXNxbC5vcmc+IHdyb3RlOg0KPg0KPiAgICAgVGhlIGZvbGxvd2luZyBidWcgaGFzIGJl ZW4gbG9nZ2VkIG9uIHRoZSB3ZWJzaXRlOg0KPg0KPiAgICAgQnVnIHJlZmVyZW5jZTrCoCDC oCDCoCAxODY3NQ0KPiAgICAgTG9nZ2VkIGJ5OsKgIMKgIMKgIMKgIMKgIE1hY2llaiBKYXJv cw0KPiAgICAgRW1haWwgYWRkcmVzczogZWNjZW51eEBnbWFpbC5jb20NCj4gICAgIFBvc3Rn cmVTUUwgdmVyc2lvbjogMTYuNA0KPiAgICAgT3BlcmF0aW5nIHN5c3RlbTrCoCDCoFVidW50 dSAyMi4wNA0KPiAgICAgRGVzY3JpcHRpb246IA0KPg0KPg0KPiAgICAgb3IgbWF5YmUNCj4g ICAgIFBvc3RncmVTUUwgc2hvdWxkIGluY2x1ZGUgZ2FyYmFnZSBjb2xsZWN0aW9uPw0KPg0K Pg0KPiBHYXJiYWdlIGNvbGxlY3Rpb24gaXMgdHlwaWNhbGx5IHVzZWQgaW4gcmVsYXRpb24g dG8gYSBwcm9ncmFtbWluZyANCj4gbGFuZ3VhZ2UgZmVhdHVyZSB0byBtYWtlIHdyaXRpbmcg YXBwbGljYXRpb25zIGluIHRob3NlIGxhbmd1YWdlcyANCj4gZWFzaWVyLsKgIEFwcGxpY2F0 aW9ucyB0aGVtc2VsdmVzIGRvbuKAmXQgcmVhbGx5IGltcGxlbWVudCBnYXJiYWdlIA0KPiBj b2xsZWN0aW9uLsKgIEFuZCBDLCB0aGUgbGFuZ3VhZ2UgUG9zdGdyZVNRTCwgaXMgd3JpdHRl biBpbiwgZG9lc27igJl0IA0KPiBoYXZlIGdhcmJhZ2UgY29sbGVjdGlvbi4gVG8gb3VyIGtu b3dsZWRnZSwgdGhvdWdoLCB0aGVyZSBhcmUgbm8gDQo+IHNpZ25pZmljYW50IG1lbW9yeSBs ZWFrcyBpbiBzdXBwb3J0ZWQgdmVyc2lvbnMuDQo+DQo+DQo+ICAgICBSQU1mb3JQRyA9IHNo YXJlZF9idWZmZXJzICsgKHRlbXBfYnVmZmVycyArIHdvcmtfbWVtKSAqDQo+ICAgICBtYXhf Y29ubmVjdGlvbnM7DQo+DQo+DQo+IFRoZSBleHByZXNzaW9uOiB3b3JrX21lbSAqIG1heF9j b25uZWN0aW9ucyBpcyBpbmNvcnJlY3QuwqAgU2VlIHRoZSBkb2MgDQo+IGZvciB3b3JrX21l bSBmb3IgaG93IGl0IGlzIHVzZWQuDQo+DQo+IFRoZXJlIGlzIHNvIG11Y2ggbW9yZSBpbmZv IG5lZWRlZCB0byBjb25jbHVkZSB0aGVyZSBpcyBhIGJ1ZyBoZXJlIC0gDQo+IHdoaWNoIHRo ZXJlIHByb2JhYmx5IGlzIG5vdC7CoCBFeHBsb3JpbmcgdGhlIHF1ZXJ5IGFuZCB0dW5pbmcg dGhlIA0KPiBzeXN0ZW0gaXMgYmV0dGVyIGRpc2N1c3NlZCBvbiB0aGUgLWdlbmVyYWwgbWFp bGluZyBsaXN0Lg0KPg0KPiBEYXZpZCBKLg0KPg0KDQpDb3VsZCB5b3Ugc2hhcmUgd2hhdCB3 b3VsZCBiZSB0aGUgY29ycmVjdCBleHByZXNzaW9uIHRvIGNhbGN1bGF0ZSBvciBhdCANCmxl YXN0IGVzdGltYXRlIG1heCBSQU0gdXNhZ2UgdGhlbj8gSSd2ZSBjaGVja2VkIGFuZCBoYXZl bid0IGZvdW5kIA0KYW55dGhpbmcgaW4gdGhlIGRvY3MuIEkndmUgZm91bmQgdGhhdCBleHBy ZXNzaW9uIGluIHVzZXIgc3BhY2UuIEkga25vdyANCmF1dG92YWMgbWlnaHQgbmVlZCB0byBi ZSBhY2NvdW50ZWQgZm9yLCBidXQgYXMgc2FpZCB3ZSBhcmUgbm90IHVzaW5nIGl0LiANCkhv dyB3b3VsZCB0aGlzIGVzdGltYXRpb24gb2YgMjBHQiBnbyB0byA1MEdCPw0KDQpUaGVyZSBq dXN0IHNlZW0gdG8gYmUgbm8gbGltaXQgaW4gUkFNIHVzYWdlIHNvIGl0IGRvZXMgc2VlbSBs aWtlIGEgDQptZW1vcnkgbGVhay4gSXQganVzdCBncm93cyB1bnRpbCB0aGVyZSBpcyBubyBt b3JlIFJBTSBhdmFpbGFibGUgYW4gd2UgDQpyZXN0YXJ0IHRoZSBzZXJ2aWNlLiBUaGVyZSBh cmUgc2FtZSBvcGVyYXRpb25zLCBzYW1lIGNvbm5lY3Rpb25zIA0KKHBvb2xpbmcgb24gdGhl IEphdmEgc2lkZSkgYW5kIGl0IGp1c3QgZ3Jvd3MgZXZlcnlkYXkuIEl0IHNlZW0gdG8gYmUg YSANCm1lbW9yeSBsZWFrLkl0IGRvZXNuJ3Qgc2VlbSB0byBoYXZlIGFuIGVuZC4NCg0KDQpS ZWQgaXMgInRvdGFsIiAtICJhdmFpbGFibGUiIG1lbW9yeS4NCg0KTWFjaWVqIE51eC4NCg== --------------uUoqtfInfUfEpYckdRFVN1bB Content-Type: multipart/related; boundary="------------lcThaOgCag5C2YGx6oYdd00i" --------------lcThaOgCag5C2YGx6oYdd00i Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
David G. Johnston (28.10.2024 14:42):<= br>
On Monday, October 28, 2024, PG Bug reporting form <noreply@postgresql.org> wrote:
T= he following bug has been logged on the website:

Bug reference:=C2=A0 =C2=A0 =C2=A0 18675
Logged by:=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 Maciej Jaros
Email address:=C2=A0 =C2=A0 =C2=A0 eccenu= x@gmail.com
PostgreSQL version: 16.4
Operating system:=C2=A0 =C2=A0Ubuntu 22.04
Description:=C2=A0 =C2=A0 =C2=A0 =C2=A0=C2=A0
<= br>
o= r maybe
PostgreSQL should include garbage collection?

Garbage collection is typically used in relation to a programming language feature to make writing applications in those languages easier.=C2=A0 Applications themselves don=E2=80=99= t really implement garbage collection.=C2=A0 And C, the language PostgreSQ= L, is written in, doesn=E2=80=99t have garbage collection. To our knowledge, though, there are no significant memory leaks in supported versions.

RAMforPG =3D shared_buffers + (temp_buffers + work_mem) * max_connections;


The expression: work_mem * max_connections is incorrect.=C2=A0= See the doc for work_mem for how it is used.

There is so much more info needed to conclude there is a bug here - which there probably is not.=C2=A0 Exploring the query and= tuning the system is better discussed on the -general mailing list.

David J.


Could you share what woul= d be the correct expression to calculate or at least estimate max RAM usage then? I've checked and haven't found anything in the docs. I've found that expression in user space. I know autovac might need to be accounted for, but as said we are not using it. How would this estimation of 20GB go to 50GB?

There just seem to be no limit in RAM usage so it does seem like a memory leak. It just grows until there is no more RAM available an we restart the service. There are
same operations, same connections (pooling on the Java side) and it just grows everyday. It seem to be a memory leak.It doesn't seem to have an end. =
3D""

Red is "total" - "available" memory.

Maciej Nux.
--------------lcThaOgCag5C2YGx6oYdd00i Content-Type: image/png; name="AzQRkaiBcnk4DCH0.png" Content-Disposition: inline; filename="AzQRkaiBcnk4DCH0.png" Content-Id: Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAAnUAAACuCAYAAABQkfuRAAAgAElEQVR4Xu1dCXwURdb/TzKT +044EpKQcIX7EAREBBRR+XRxPRbZz12vTzzQFQVdFQ9EBQVWBMWVRV0RVvAAFm+8RQUUUO4j QA5y3yF3ZjJJvqoOk8wMc3T31Ey609X+/I2mq1+/93+vqt97VfVKV1NT0woVXA8vfx479++z 4XTiBRdi+cNPqIB7ziJHgCPAEeAIcAQ4AhwB7yKgU4tTZ4HhxTdew2Oz75OMSlFREXr27Cn5 OWcPaI1ew/btCL7qKib4aQ07JcvLmjeWdkKNjTV/SqanZN68oQsl24rWdMFSXpa0qN0p2U68 0S88xU8zTl1ubi6SkpKYOCWUiNboNf78M4ImTmSCn9awU7K8rHljaSda62esdaF0ekq2FaVj p2T+WPOmZDtR4hilGqfOZDKhuLgYr25ch9WLXkB2djZSUlJE/+7atQsTJkwQ3d4dfa3RO/bB Bxg8cyYT/JqammAwGCTpz5U+OD3x/cAeR9Z2zNJOaP9mzZ+S6WnNjmOOHEHF0KGKHAeUbCdK 7xes7VjJdkLHU9byekpPNU6d9fTrs3MfYZIx4kQ4AhwBjgBHgCPAEeAIdBUENOPUWTIUrBSn NXp1O3YgdPJkJvBpDTsly8uaN5Z2Qo2NNX9Kpqdk3ryhCyXbitZ0wVJelrSo3SnZTrzRLzzF TzNOHRNvhBPhCHAEOAIcAY4AR4AjoFAENOPUeer92utPa/RYRktaw07J8rLmjaWdKDEK9uY4 wFoXSqenZFtROnZK5o81b0q2EyWOUZpx6hTqVHO2OAIcAY4AR4AjwBHgCDBBQDNOHevoQWv0 WEZLWsNOyfKy5o2lnSgxCuaZuhQmHx6lr5Vi3S+0RI+1rHxMkdblVOPUeVrSxGJo/FdaKRiO F8dLSukgbi/cXri9yC8xxPsP7z+e9h/VOHUWX5WeKCGnpAnr6EFr9FhGS1rDTsnysuaNpZ3w TJ20CN2bWURv6ELJtsK6X2iJHmtZlWwn3ugXnuKnGafOs+GRP80R4AhwBDgCHAGOAEdA2Qho xqnz1PtVWxTMWl6W0RJr3jg9+YMMa+xY2okSo2BvjgOsdaF0ekq2FaVjp2T+WPOmZDtR4hil GadO/mePP8kR4AhwBDgCHAGOAEdA+QhoxqljHT1ojR7LaElr2ClZXta8sbQTJUbBPFOXwuyr pmRbYd0vtESPtaxKthMljlGaceqYjUScEEeAI8AR4AhwBDgCHAEFIqAZp4519KA1eiyjJa1h p2R5WfPG0k6UGAXzTB3P1Mn5jrPuZ0qmx5o3PqZIszjVOHW8Th2v3+Np/R7+PK+fZfng8F8+ nvDxgI8HXXEcUI1TZ/FVeZ06cV67kqMl1rxxeuJswlEr1tjxqFo5umCtW9b0lGwrrGXVEj3W sirZTpQ4m6AZp07+UMuf5AhwBDgCHAGOAEeAI6BcBFpazdjf+DY049Sxjh60Ro9ltKQ17JQs L2veWNqJEqNgvqaOr6mT81ln3c+UTI81b3xMEWdxTa31ONT4rnynbtWqVVi5ciWam5tx7733 4vHHHxfevH79eixatAhmsxnPPfccbrnllvM4ampqwvLly7Fp0yYUFBQgPj4es2fPxty5c91y L3f61S1h3oAjwBHgCHAEOAIcAY6AChFobD2Lo40fynPqsrKycMUVV+Drr7+GXq/HlVdeiQ0b NiA6OhrTpk3DJ598An9/f1x77bX4/PPPkZqaagPRXXfdhfz8fCxZsgT9+/fHkSNHBMeQOnWO nEDrh+U6dayjB63RYxktaQ07JcvLmjeWdsIzdZ59WVjrljU9JdsKa1m1RI+1rEq2EyWNUbUt xUg3fizPqcvLy8Pll1+Or776CgaDAVdddRU2btyInTt34tixY0IGj15PPfUUYmNj8eCDD7aP TpmZmZg8eTKOHj2KiIiI9r/v2bMH1BhmzpzpciST69R5NjzypzkCHAGOAEeAI8AR4AgoE4Gq 5lycNm2X59RRkRYsWIBXX31VkO7WW2/F6tWrhWnXsLAwzJ8/X/j7mjVrkJGRIUy1Wi465bpl yxZs3rxZFjJynTrW0YPW6LGMlrSGnZLlZc0bSztRUhTsbLBiiR9LWmrATsm2ojVdsJSXJS1q x0q2EyX1s3LzaWQ3fS/Pqfvyyy/x7LPPCmvi6DTrX//6V8yZMweHDx9GZGQk5s2b1+7U0ana pUuXto+JNKO3devWdqduxYoVWLhwoXA/OTlZyOA5uprLy1H/0Ud4tbwQj0+5AqEk22dRNv/d wfHg9sD7ww7eD/i4yL8L/HuozXGg8LuNKLioTp5T9/zzzwvTro8++qjgf7311ls4ePAghg4d ivT0dLz00kvC35988knExcXZTL/S+3Td3YkTJxASEtLuv508eRLXXXedU6fO0pBn6sQlOJUc LbHmjdMTZxOOWrHGjkfVytEFa92ypqdkW2Etq5bosZZVyXaipExdkfkA8pv2ynPqPvvsMyG7 9t577wnTrXRzw5///GdhrRzdNLFt2zbB6ZsxY4aQkaPOnvV15513oqSkBIsXLxY2Spw5cwbr 1q3D9u3bsX//fpejolynTv5Qy5/kCHAEOAIcAY4AR4AjoFwE8pv2oMh8UJ5TR8WiO1fffPNN oaTJrFmz8MILL8DPz0/YBUtLmRiNRiGTR6dl7S9a7oSWRHn33XcFh45uppg+fToeeeQRJCYm esWpYx09aI0ey2hJa9gpWV7WvLG0EyVFwc4GJZb4saSlBuyUbCta0wVLeVnSonasZDtRUj87 Y/oJZc0n5Dt1neWv8kxdZyHP38sR4AhwBDgCHAGOgBIRyGr6DhXmDO04dayjB63RYxktaQ07 JcvLmjeWdqKkKJhn6gAt2QprWbVEj7WsfEwR50KeMn6B6pY87Th14mDhrTgCHAGOAEeAI8AR 4AioC4ETxo9Q11KiHaeOdfSgNXosoyWtYadkeVnzxtJOeKbOs48Ka92ypqdkW2Etq5bosZZV yXaipDHqqPFDNLacVY9TZzKZUFxcjFc3rsPqRS+0TwVYDIj/ZiMlJYXjQk4l4ThwO+DjAe8H fBzg44CWxoGqnj+j9IzMOnWexY+ePS13owTr6EFr9FhGS1rDTsnysuaNpZ0oKQrma+r4mjpP vlys+5mS6bHmjY8p4ixvf8O/0YJm9WTqLGLJderEwcJbcQQ4AhwBjgBHgCPAEVAHAq3Elfu9 4a12ZnU1NTWt6mC9jUu5Th3r6EFr9FhGS1rDTsnysuaNpZ3wTJ1nIzNr3bKmp2RbYS2rluix llXJdqKEMcrc2oiDjRu059R5NjzypzkCHAGOAEeAI8AR4AgoCwFjaw2ONL6nPaeOdfSgNXos oyWtYadkeVnzxtJOlBAFuxu+WeLHkpYasFOyrWhNFyzlZUmL2rGS7UQJ/ayhpQLHjFu059S5 G5z5fY4AR4AjwBHgCHAEOAJqQqC2pRjpxo+159Sxjh60Ro9ltKQ17JQsL2veWNqJEqJgd4M7 S/xY0lIDdkq2Fa3pgqW8LGnxTJ27EQiobs7DKdMX6nPqeJ06XneK153idacsHwz+y8cDPh7w 8UDr40BWdhbW7rkAfnVJqDccRUjTEO2UNGEdPWiNHsuoWmvYKVle1ryxtBM1ZJtY4seSlhqw U7KtaE0XLOVlSYtn6lxn6pqaG7Dgg1jM+uMq9WXqLBzLLWniPonJW2gNgYKm31Bo/l2W2D31 I9DLMFbWs/whjgBHgCPAEeAIeIpAvakSz25LxZ/+sFx7Th3r6EFr9FhG1c6wk+tkVea0IDrZ z9P+0f68O3rx5lj0atAL7QuCzCgwlMOVk6dkW2HNG0s7UUO2iSV+LGmpATsl24rWdMFSXpa0 eKbO9WetuqEQyz4bgeuuXqw9p47ZF19DhOQ6WaqDyFgEmIpt2E5AX9B/xV6FyEJzUE/0irhJ 7CO8nQoQYNYHLDYW0B0IjHcZBKgAli7PIjO9i0WK2EfPwPHoFTxN7BO8nZcQEK176+/GuX5N WbIE+JROKzm2y5szOuW1WXjl60sw46qF2nPqWEcPnUFPtLER9brLNkntD4E/58M4sZfUxxy2 Z82bLHrmWiQ0wKHjllXQgNSEYMmyUscuH6eAgB5tz55zFCsLwhCdEko+5j2FP3va6VnaHkta VDZfZ1+k9AnKnyxbcWEJoui5sDVr0tTughKK2mzIclFbOmc3lj+JnfpnrVvW9KTaijtdi9KF yF7tMS2rDz4NDo0FCW7HlEJ9JfKDTaIcfta6YEmPJS3LmFI1IUz2Uhl7lcvSrYTvheU7ICQF gvqQmZwSDAi4GuH+CaKsTwp+xVXHsXbH/+B/pi3QnlMnCk0JjdwNMBJI8aadgEBCox4JTbGd 8GYyZYsM4V/a6VuDklBoqES8/gIkGEZ3Cj/eeinvI23Isra1/CATEJza6fbC9WvXc0Q67+76 G9WvWsYErdiAp324OigC4RFT3Kle8v28iv1Yv2sWrpz6sPqdut8a3hCEGBV8O/zQtr7J1UW9 3x69I3GscbO7pqLuy/L2XVBWOr2ukqmzXg/nTB1yM3Us6NE1ei3BiS5T9lIiOXfGbE2LxQDN 0k4o70rvF674E2Nr1vqRYnftWWFrApYpoHNZIiFDnFDb1sJqesidTTi7z1oXSrYVObK6+vBL 0a0Ff1djgadjgH1flyNvl7aTc31IzDIcKbq1rME+DzurzG7bzE6IsEyDXi7Xa5fuxvv7ZuPy KXPV59SdV6fuwPtCOvtkXT/0Tx0Mi5G7+g3oVY5jmfuERfUWI+a/bZsMujoOjVlmTIzrBUsH 7Kq/GfVD0Celr6j+YKnzlZSSgO/T39aEHXjFznuUoDK7TnCg6IA8JKFH+3SbkuysIq0aFec2 FXkFBw2MI45wG5zQDaaMJuF71Bn6ThwxA3lniiGmbt9vp78BemV1+fHeI/sm/VmXHY7RCX06 RZ/2dkSXZBwpKBTGlYb6a8j43r99fN+1/xPsLH0Ko3rf2z5+62pqalrlRm6d8ZylpImupO1Y jLq4CQjxi3PLCnX26uP3oaGl0m1bMQ1YRjZqyEiwjKp9jh2ZFkmrj0a4LkaMats7sqjGIhpJ ieREkHPJX1P3aSRvLX49IO0X3ZPDcdy4Vcyr3bZhaSeK6hdOIneWumVJi2JnT++3sFK06lrc 6rBLZ2BESi92jBKbjfWmbmtiLkCYPtGlZDXNBThp+sxpG7HyioGPJS36Pq+PKXYb5cRk56xx 8KZu7fFuiL0YQf4dy4aOF2zHF8eexOSL71Zfps7Csb1TV00MOtyNQdNnWUwtiTFo3kZ5CHi6 HkJ5EjnnqDHuEgT6RUti+WxzNjJMX0t6RiuNxX601YDH/vAyshevWQ2sKp5HJdlFSVRvdAsY 4RIz6tBRx06Tl92mFSlVDZSGV3XMSOLvJLezdTh3G7499SIuuej/uo5TVxkzGFH6fjbYO4pK WEcPWqPHMlpijl1GOaK75wk2IDXKctRpfRl5yRk0XPFXFzsWIf5tu2zFXDRTF9yrBnnmX8Q0 d9uGpZ3QlzG3FQk1DcObWpDW2LauxdnF0lZY0qL82tM7EFYOs87sVofOGrDWhZJtxaGsxDlI MIVJKnVkwdKbus0JD0NS8GVO9drQWul2LTlL3bKkRYWSayfOHG9v6kJ257J60BV/5TH9EaMf 1N769+z3sPPMakwYe2v732RPv37xxRdYsGABioqKcNNNN+Hll1+GTqfD+vXrsWjRIpjNZjz3 3HO45ZZbzpOzqakJy5cvx6ZNm1BQUID4+HjMnj0bc+d2LPZzBo59pq40ug/iDENtmms6KmFh VQqmoaQIWYkw2UdyYnjMbdqNEvMRMU210eZcZJ/WOkb0lL0agDkYVoEmXZMaWPU9jxIWxvue OddvPBVmQr+QG5020uIsVVf9ThRG9iT1DDtOMtqTsQ57C97G+DF/8cypy8nJwcSJE7FhwwYM Hz4cM2fOxAMPPIChQ4di2rRp+OSTT+Dv749rr70Wn3/+OVJTU20M7q677kJ+fj6WLFmC/v37 48iRI7j33nsFp86RE2j9sL1TVxiZQIQcIzQxttbgSON7Do2bdfQgm57ItTm/hZeQwoXylzvK 5s/J0CA3WnJETg5vrrImao685HwgXMlbGT0IUYb+osnSTF1zwinQKVgWF0s7ofzIsRVXcrik R9ZeoqGt1IzYKRqWtseSFsXAnt6hsEqYdKQcisyLtS6UYiuOHABv60KmCtofs+YvPaQW/cNm QUfqQDi6jhk3u11LzlK3LGlReaTYia+z6476GUvd2tPKiYhAUtCU9j/vPLkGh8o+wNhRf27/ m6xM3Zo1a3Dy5EmsWLHC5p1r167FsWPHsHLlSuHvTz31FGJjY/Hggw+2t8vMzMTkyZNx9OhR RBAGLdeePXuEHR3UQXR12Tt1+ZGxSAi8WHikvPkksk07PMXUe89LSN/vDyPrX3R8/QvOfWi7 WtbEW0ZWHtOXpOeHSCJPN0nUt5RLeqYrNg5vqEKaeUBXFE2Q6UjYWTTqjF1WPqmChbeEIa2O FAVX+XUqpA4poddBrwuykaS51YgDjetVLp0E9iVuiJNAWTFNMyP8kRp0dTs/3x5biozqbzF6 xJ/a/ybLqXvsscdQV1cH6ojl5uYKjthLL72E559/HmFhYZg/f77wAur8ZWRkCFOtlotOuW7Z sgWbN8urF2fv1J2JCEVy0FSBPHXoqGPn6GIdPUiiJyIDoKWoWgp2YjY5qCmqZjE6uJK3JCqR LJq+QPRraCB1tscOsnxefgbH+mVSomoxTEqxFY/okYArzZgkebqVpe2xpEWxsKd3NLQKDX6N YmDyyRja2baS1tgD4U5mo72tC9lKOPegNX+ZoQ1ICPkfBOrCbcjWtZTghPEjUa9i2c9Y0qLM i7UTsUGZmnRrr7wTYQ1IC+k4ivLjQw+jxHgco4b+0TOn7uGHH8bXX3+NrVu3Ctk2OmU6a9Ys 0CxcZGQk5s2b1+7UZWVlYenSpe0v3Lhxo/Ccxamj2b6FC9vOLUtOThYyeI6u5vJy1H/0EV4t L8TjU65A2KAq1P6agZLL09B9TyhCSfYv/ZsXUXtxbLsRWIyhs397fl+ExDEjBH7DxvUV9Zt9 WSxad2UKR3N1Nv+d9f7wHwuRNmqkKLzE4trV21VfMR4Rv5iE/mA5hsnVr9+k4cj4ZlXXtbML /RH4UxaM40IQ+Gu98Nvz1zAkjpugObs6eeAIqi/pptnxxDKORf5Ujv4jB3cZ/WftP44eV8xG y4+Hbfp98XfvI++i6q6v7x0ZMF5Qi5RfeiBuvLTvrNq+BzlTu6F552n0vuwu+P18Cp9EvIPI QxXoPvPqdj3LytTRzBtdE2eZZqXTrqdOnRLWx6WnpwtZO3o9+eSTiIuLs5l+pffpursTJ04g JIRUTT530enc6667zqlTZ2lnn6k7Fd6MHgHjXNbgoc+yjh7E0JOS3rePHo6FVqPejxxOKvMS w58U0mKjJTE0xfImJktH36fmyEsMXvZtXMmbFxmFXoGTRJO1FCMV/YCbhiztxJN+q8adb962 4+OhNajzq5etarH9VuwLOstWXGXoLLx7WxdiMXLWzpq/M8FGxIRegjA/213vUjZIsNQtS1pU fnd2IvY7oUbd2uv/BOnDtaQP03Nk6Xmy6/b+EX4GfwxJu6q9qSyn7tChQ7jxxhvxwQcfoFev Xrj55ptx++23Y9y4cbjyyiuxbds2GAwGzJgxQ8jI0Q0U1tedd96JkpISLF68WHAEz5w5g3Xr 1mH79u3Yv3+/S3u3d+pOhNVBp49QZA0eMYOHM2EtyvO086vy+XPT1UN0ExDcGqZKETqL6ZyI ELKQ9nLRrxeziFo0MQU0FLNQWgFsdgoLJ0JryQehrlPerZSXBrcGYUhtpFLYYcJHHjkrNix0 LCL9O+qXUcJZpu9R0XyayTsUQ6QL1ZyTg2k68XdqdOeO/iME9h38AKGhsRjUr20JGr1kOXX0 QTqNSp2ycjIt+pe//AXLli2Dn5+fsCOWljIxGo149NFHMWfOnPN4p+VOVq1ahXfffVdw6Ohm iunTp+ORRx5BYqLrytj2Tp3YjBbr6MEdPSlZOqEDFjQIx8xYrpNkR1O1v/wB2B1/Ug3KXbQk hZ473rQUeUnBzdLWVRYhK9wfKcEdC2mt6TuK3N3pQip/LO2EvlsSf82NZOF7uMt1cUrOwHib t3SyoL7Gv+ODIFW3knQhgnhn2IrYUhfe1oUIeFw2seavILAJgaEjyQapvjbPnDB9hLrmElGv YqlbZrTOOXCW5RKiBBHRSE26tRfnZGgdqv06+vCe/e8iOjIJ/ft0zM7IdupEYOeVJvZOnadT Cl5hkhD1JEtHecoIqUelf4232FMOXY1HXqwVcTrMjL4h19uQlTINw5ofX9LjWTrXaJ8iH4Qq qw+CL3WjlHcNqe+B4C5WVKA4yAy/kMGI0w+0gZnufKU7YBV78bFfsmpOhdaTPtzhF+za9w56 dBuAvr0vaqeleqdO7JQCs+jhHHQCPXLwL0zFNoqRUuPK+kH76CE7pBFl/lWSlW55gLW8HkXV dmfr6Qr6CYcls7rUHHnJwcCVvOmk0w8InSWQFVPSQFF24gAMKfwJ5/s2B7iEVMm24m3eThPb OGv1QZBqe1J0IYa2R2OKRFsJbibrjurdnxFuIettXYjBx1Uba/5KA5thDumLnobh5/p9Eyll sk7SK1jq1tG3Ue53kQph2WAoSSAXjdWkW3sxMkIaSLKnuv3PP/36JpJ6jURKYlutXnqp3qlL J9FnjbejT7LGK4HsWRBbkJSF8WUHE6dOL9+pY8EDCxpipztYvIvTANLJuqkasm5qRPBfYWyp Fl3SQM3YBbeQdVJ1XWudlDf0QUtfVPh1fBC88Q6l0pS6pEOpcjjiqyKgBQ2hSUgwjBZuG1ur SRH+930jAs+2+Qbnc2/JJMmeCqtkz47drwtZusSEkV3HqbOfY3aGsCeRiKMBwdvefk6QESWG s7INxhN5Hb1UalTtak2ht7GTDdq5B9XMn6U/DAi8BqaWWmQ3/eASjs62E3e6EsOflMBBybr1 Nm+ZoeSD4Cc/UBSjC3f6tL4vdUxxR/s8/qwcjiEgm64gftOVt3XhThZ39635qzK0oCqsJ5IM 44XHapuLkG76xB0Jm/tSdeuqz7HGjmfqOlRlP4P37c+vCJskEnp2FJxXTabOZDKhuLgYr25c h9WLXkD2gfeFjQU7KyoR2NvUvqDaYpwsfpPJWd4BmVHCeyyG6qvffWVk3jyVrKs7dwC52n5D MiIwuLvvcfOVfpT6np3lpD+kmKAvSEO35FAcy9yH6GQ/1dqRGLufGBePoty2jUZK1YsS+EI/ P5zOr+ha9pBRjujueagsCEN0Qi0sSzuUgLev7DEuOQBHyw0Y1/8a4VSmyKRW/Hb6K6/peXBC N5gymnh/64Tx5pfyauhTyBTsOb/gu8+3YsiFQxHQ0K9d36px6iy+qv1GidNkQ8FZERsKJEUi Io6mYh2N2NMrJDua8gMqJEVb1o0lySviLWKjajFrV7yNnQhxXDZRM3+WhbTd/AcLp0S4K2nQ WXYiVkfu+JM69apk3Xqbt6wQI8r91Zv9t9iMsw0xLPFjSYvy7U16dfoWFIdFIDXgMgGiUvMx 5DTtFNvFhHbu+hltI7aiA2tZeabOOlNnImvtK9v/sP37pRgzfCbiYlPb/6Z6p85+4aAkS3bS WOxxIyze5YxGSaAZOQHqO4+zK69d8aa+WdG2BDm0OGULzKJLGrB6v6/pSJl69TVvSnvfmWAT SvUdHwSl8eeWHxHBtlsaXbBBo18zckl9yn4BVwrSeWu3u6cVHbog9D4XKSfEhBIrp+6zb57H hDG3Ijoqqes4dWLXiYiJRARURNS6os1YRyP29MoCmpEdWCbbaETLK/INojJ1BLshDbFuCwZ7 GzuRIjltpmb+LIvh9QhCq67VbUmDTrETCQpyx9+QBlKiwiyeoJJ1623ecohTV+KBU+dOF+K1 0NZS1JhiRdRdwMgSP5a0vP29MOmakRmhR1rgHwS0ckw/o7T5uCR1uNKt2Ayd5YWsseOZug5V 5gY3oVjfMYP38ZcLMXnCvYgM7zhNRPWZukyyxbfCaouvJEt20DjY2IAhphRPyXj8fIWedNRg +U6dxwzIIKAU7GSw3mUesd8d1SUE4zvsmKgxj3wQiqw+CEyI+oiIVMfCR2wp4jWkoAnSyebv QYFt9SkzTF/jbHM2M954ho4ZlB4Tyg9qQqGhw6nb9sUCTJs0XzhVwnKp3qnLIqU/ykWU/hAb ZSbUtyChmeyQcHOxjkbs6dEdTaeCSt2x4fS+WHnFvkBMVK0U7MTK5Kydt3XrTf6yyJb3cgn1 DTvDThzJr8azWqkcLG2FJS1HvHnq1HWmrYhxLFjix5IWazuxp9eKVhyJbMTQwJuErpVu/Bi1 Lbb1U92NOYJuE8i5wA0ZQlNP6sqxxo5n6jq0V0AKTRcYOpZlbf7077j68icRHBTRhZw6iR8x p8ZNpg5Rnw6pW9/ddRa592uJU3fCA6dO7ntlPacw7GTJ0EUe8nQxfGfAIHWzQ2fw2BXeaf9B UINM3DbEaelg+FkMD75FaHzE+L5Qo1Lq5W56Wyo93p49AvZ9+IOPH8Ifpy9GgCGk6zh12cFG UqTX/Y4ud1Gm1COGWEcj9vTq/ZtxLET+9Ks7eaWam6tMndRpV29jJ1U2+/Zq5k+qU+dLO3Gm F1/WvFKybr3NWyGJ8vOtonyp/aQzbEXKRhiW+LGkRXH2Nr3fw8owKuQOQaX7G94WNkm5vOwK 6rPkjyUtKgPP1HVosiioGXmGDr9g07b7MfMPL8Pf36A+p866Tl1krxWAIQ31hqMIaRrCfzkO 3A54P+DjAB8H+DjAxwFNjQMRrRfgDzfOxtmcVvXXqfMbOxZfBx7CgK1voSSMrAVwczmMMskC 7ARTmKzjv1hHI/b06I6mQyT6knv5LKomGNejYW0AACAASURBVA4x9e2y1dot+FccPYr9S14k m6MboTcEYlR9ImJaxFWoz0pMRGpenlxVnvecM3q0P/Tb8hbKwt33BwtRn9mJA+kDW/QYVtex wNcRQN7uZ54qxR1/xsqz2P3QfAy/9AbEfvi7y9d5006obQzd/A7yIqRPy3WGrYipd+nNDLs7 vbpSpPVYYWlXmzAYYQXHHD6mhz9GNaWIHk+EzN+5MeXbwCOY9K/XcCilGS1kt7vbq5Vk8GqP Iq11DMJ1Me3NPZHXm3pQQqaO6vPQC0sxIqgXYopCRY/HbnXhpIHz8f0whm9dj5ww1zOTqt0o QZ26bwIOo997r6M0tkkcfq3NxKCPeLQIVNyLPG9lJunzA+EKqVN3bvehJ4tnPUeELQVh4H1u MZqbxNmOnIGXLcfuqQn94f01KI0xuW+sgBaxpiCkGrv2ma3pb78DnCnHwH3iHW1vqIbaxpBN a5EXR9YOq+BS2/oum6BPhpMmVyU/BhzHmGWLcXxkKHHqWtySMTQ3Y0R9gtt2vAFg+UboWlow KiLVoUPnS5yoAz9kw+vI7eF6fFe1U/ddwBH02fAKSnu6j1BoRqJbr1aMZGTQLCMbIfIqaDvm yHLRHU2/4WtSxns4+ZNOsu1IzsC4cdxYrmvwNnbuwBIiryXLMaKmp8Po2JsZE3e8ibnvjD+h P/yH9Ice7vuD5T2S7cQNg2J2SVtIpDYEIdbs2qnrbFtxpw9n/LV9EJZA19SMicY0BKJjzYsz mt60O2obg955DXkJEor62THqM1uRkf13NIa6052r+2LtzuLM6XQ6jJw2y2k21lu63WVIx9An /o7TU3qiWYRTF9UUiH6NUeeJLlZeMZiypEXfx/LbI8ZOpDpz3tKtPdbfBx7DwLUvIy/FtRZU 7dRRIfusXYaSFPcDJoUhvNmAtPqOlLMYA+3sNr+FFZEistKdOlF8d8EMnCu5rT+0Uqc7ROHZ yY1of0h9YxlKe4vrD53GbivJjtYewzBcQpydjkCm0/gR+WJH02rOHlVaZpfaxqA1LyG3j59I ab3crAuMPUJw+I8VGD7F/dS6t9DcG5CBPvfNRs61A2AmS3bcXfHGcPQydeyUdNdea/fdTbV2 Jh40K9vv1ReRPzDAJRuqdup2BB5H8qvPoyzNvZHSKHNAfAR6N54/Jy5HUayjEWf09oeVkAhM fObFIkt7VG1VuJXekzuFyjJa8hV2FiyEj/HzL0BnMotau+KryEuO3QmRppM1elL6w3l2IpcZ u+fEZOoCzc0Y1iBuCsjXtmItjr0T58hRY2krLGnZ28kO8kEYsPoF5KUFyta05Eydm7GH5Zgi yGs32yFbUDe06DrJnQ88CLS2uMzOWb/fW7rdb8hGwl9nouCW0cSpc5+F7U9O/Ik068+DxlfY ydGJJ3biy/WNcmRz9IwzW/k54AT6LHsG+aPCu65TRz3X5JcXoXSoayEtCPQ2xaCbUeFZDDt1 HQotg4mc7SfnklIOQA59NTzTvlC913jEHpRWkFMN8lnzSPtDEukPZSL7Q2fJp4a1dELEvvQf GBFApugdLI7uLOzkvvcnYht9//Ec8kewCWqd8tEFMnDuMFbKOknK52F9LqL/eAXK7p+CJhFO 3Yja7jC0emnmxx1wPrrfWesbvS3eroB0pDz7OPIvcr25TNWZOuq5Jr6wAKVjXAtJwaZR5vju PRDexGb6QU5k42r6xnp3lL7VH5d9sBHQ++FoaCUa/EQsfLc7SslYkGCzRs9Tg/MkWrJ/txzs XPHvip6cAdhbUbWnOrA87yqS6/XiApSNdt8fLLQkZ1/cCCEmU5dqikKsUVzGyJe2QkWzycIM uAixe1xvVmJpKyxpUVms6dGxsu/ip5A39vz1VGLt8jxb8XAWgOWYIsgrM1MnJ5sjdp2kuz4r FvvzxtBz2foT+nwEXTYeVU/8ASY43/TlT74po2rjnL5OLnaOCLKkRemLtROxGVRv9jO5+rR+ zhl/vwScQtLjD6HgMtcnXqnGqbOuU7d60Qs4c/31KCz5Fn5/XwD/aTGC0xad7Ofy99LYnsjN axScHYvh+er38C/pKP/XMsRedhuGv7+jfcC1KND6N6PkC6Qs+xf69ovCT+XlCE4xO5RrcEI3 mDKaOkUeX+Fm/x6KYwmZcq+K6SOUCLA4w85+GxKGYnpWCwoSU4WyIo7w7ip/p/1B98gC6K8Q 1x/c9Rdv3Z9E+mFBJ/VDd3b78/pP0S3zJAKLYrqUvXyeAoyc/UccSY51O0660juyQjEmLszn 46c7vcm9L4zLq5cgNnw8hueWq2582JUcim5JAci7ZybCklucfv/qc/SYFB3bZfTmSN+mLz9A aaU/LvkuW3V6FPNdKi3+Abo5ZNr/+niXfo5qnDqLJ/viG6/h2bmPgJY02W04ifinH0TppF5u HeTGLDMmxrlv55bQuQZioxE50cP3AUcx4bVXERAfh5MhNaj2ty2HoG/xx8g651GXJ1GrM/nF Rkti8BOLnYWWBUNzfZ3DGnFqjbzEYOUwEnaypo72h55PP4SySeLWq1Havs7UGVoNGFErfrOS VFtxh6nL3arn1l1KycKwtD2WtOwzddQ2UhbMQ56bKN8GPxVl/6WOecKY8rcHAJMJo/xJuYoa 22lpb+rCnY2KuW/h74x/GRqGxcO08i4Ydc5ndKKaw9Gv3vnac5b9jCUtsZk6qs9dcx/ExeYU BFafv2ZQTCZMDO5SxmPW9PYZMtHzvttQeF2aQ9IGko0dQbKxqnbqfjWcQvdH56BsGglDnV3n Bib7YotyAZf6nJzpP6H20NIXEdw/CRkhdaj0r7V5bXhLMNLqOg7wlcqT2toLGOYVY+CvIqah 1SYcQ35pf4gj/aHCVX9g+D45pKJayMelzv3GJjm0pT5js/YmOBgje1/SZddd/hpwGknz7kP+ 9GS3MGlhLa4wphxJx8B0ZdiiW6U4aZDvX4mKPqQI+pvz0Ej+cXZ1b45Gcr3rXZNyeVDCc11F n66w/F2fhW53zkLRn2mZs/OvqOYQ4riHq9up22M4jbiH7kT51f3Pk9B+YGIdPbij1xYJzgUa jKLqVFlHhjvJgshhTz2J8FFpyAppQLm/bRX4bk1hbnfxuuNPakfsjExd+67VZpJl1Q90GoGp JaqWirmz9s7kddUfnNHydaZOqsMgx45Fr11lUCSWpe2xpEX1bU1vryEDCQ/MRsGMvi7N0NUZ 2HJ04eplLMcUQV4Ra+qsM3RdYUwp8atCPknMG/7zBBp0RqdwJ5ri0NPo7/S+GOzEjl8sadF3 urITsfq05t2b/UwsRq7aOePvoOEMov/3jyi+Y4zDxxOMocIJWR5n6u6++2706tULTz/9tPCi 9evXY9GiRTCbzXjuuedwyy23nMdAE6niv3z5cmzatAkFBQWIj4/H7NmzMXcucYLcXNbTr/sC MhFz7y0ov36QzVNSp3jcvVPOfSFy2JuBgTnSo6NfSMYlbf6DiJo4CmeCG1Gqr7JhoTepNdSt i9caMtfX46c592NEnwvdLlaXo5+u+AztD9Fz/oqK6wYrVrz+xh6I9FLCVexSB8WC40XG6NRN /D23oOBG27Gy/ZXkgHc0ZJx3fJQXWeoU0l0to1PhV4uM2FoEf7iYOHXOM3X9SL+L8lK/6xRF nnupoM/9pzAwM6gz2fDJuw8bchFxw1UouXeCw/f1rwtFJDm60iOnbvPmzXjooYcEh4w6dVlZ WZg2bRo++eQT+Pv749prr8Xnn3+O1NRUGybuuusu5OfnY8mSJejfvz+OHDmCe++9V3DqHDmB 1g9bO3W/G7IQedcsVMy0TUc6muJhHT24omcphzChIllUJXkqn31UnXr3nYi96mLkBhpRHGB7 1ltaXTjCW1xPG7CWl2VULYa3wp9+QvE3P2LUb+5r9Kk18pI7EjiTl/aH8LtuwtmZI0ST9nWm bkRdTxha3OvUIoAYW7G0FbPUQcm24k3eqG10/7//ReGfhzq0jfCGKqSZB7i0Gym6EGOALMcU YQx1k6kTAsW778XFzaldZt1Vja4BhyOKEfnRCtST/3Z2Da7viZBm5/3OHXZi9Cmnzzqja51t jwjshWpjvsOmtHaklDWw9t9aKXI5a+vNfmv9zqOkfE3ojKkonTvZlpVzx5+OwGRybk2gfKcu JydHcMCuueYa1JPOQp26tWvX4tixY1i5cqXw0qeeegqxsbF48EGyY+PclZmZicmTJ+MoqQMV EdGxLmzPnj3Izs7GzJkzXeJs7dTRwouRt9+A8psvsHlG6hQPC8VSGjZHxniwPofOnfe69c/o ft3lKAhsQkFARRuL5yrxj9RdCj1ZcN6VrwNLl6FHWQASjtuuJ+zKMnsqG+0P4bddj8q/jPaU FJvn7Rba08LX3rraF0pX9BYdSHmLFyXSPUBsI+4vN6LwtlEOPwidtebYl1gJgeJHX2DUCXWv o7PGrIFsjtgbcgaxn76Cej/nmbpRJJjylxBMeVsv7k5nUdqJLN7GQwz947R8zZUXo+zv02ya +5PlSaPqOzaBysrUNZNDgWfMmCFk2n7++WeUk7Ib1Kmj065hYWGYP3++8NI1a9YgIyNDmGq1 XHTKdcuWLaBZPjmXtVNH55hDb/4DKm8fZ0PK0RSPJ5GI2DpGnhiitbd/0JCDbjf+AfFEtqJA M/IC2mplGcwmjGhIEgWbJ/I6egHLqNpdltNy+sNk4yBQTN1dvoqU3PHh7L6v+HPWH1zx7Y1M Xcz44ejV4HoHmlgsxdqx2GkYX+lCrHzW7bzJ20H9GcT8eQaK7hxr+0FoIR+EOnFVAcTqQqzs LMcU+k53/AmBYo4ZCWfcH3zvTV2IxcdVOwt/9GiwHYEnEL/9X6hzkqnzI8WGLyBFh13SE7Ee 0dXz1t9I65qrzp6R8q2sDQlBGEkcsbrUolt7edP1BTBMGYPyp662uRXS7IfB9d3a/ybLqaPO HHXeHnjgAbz22mvtTt3ChQsRGRmJefPmCS+gTh2dkl26dGn7Czdu3IitW7e2O3UrVqwAfY5e ycnJQgbP0dVMHMf6jz7Cq+WFeHzKFQh/5BEcD6tHwLVjUDc4BcaJvWApfNr/2zpEju3TvsDS MnjI+TWFNSJj2Xr0q9QhIKi7YFwWI/PWb3pYA0KmjkTU8AtgnNQHBXv2C/JF7yhA3wtGMZEr bFxfRdGhOJ9etg61zcUY0nMSep4o8jrO3tJfZ9Gl/cFA+kO9XX+w9Auv/F7oj8CfshA7bhgi fgV8bVdBpJzD/vsWoabuDEYbRiOqysjt5txH0NoOs5rSEXHJZShZOKV9nKT2oB+fhKQfqn2u N1/aydnvDuP3f/8DYS0xGF0dhcaQcJ+M474YB0LJ9+iXiDJEbXsWTbtP23wHLf097CdSOWDk cGbjffGWHTjy4b8Q6tddmBal06P1JCs/RD8cPetaeP9z0P9Y+A0ZYSa0XJCAhivH2ug5ekcx 8Qs69CvLqRs+fLjgrFlfd9xxB4YMGYL09HS89NJLwq0nn3wScXFxNtOv9D5dd3fixAmEEOEt 18mTJ3Hdddc5deos7awzdUf0OQi6fhoq75sk3PZr9SMRSYfHas2fuyjO3pF0d/i7N719oUr4 pePRe+6tqAxoRUZgicBeQiOZjmyKFhWwSJXXHVG5UbWvs5zu5BBz35u6FfN+d22c8Uf7QyDp D2fP9Qd3dOh9WZk6F0dBybUTZ7y6s2NhSu3jzzHquLjjr5SsW2/ydoQusv7D5Sie2zZWWq7Y pkCkNoo7ZcKdLsTYm3UbX9mK2CyuzffCSS1IqTJa2ntTt18FHkLSp2tRG+B492toazAG1bou gSVWt20H3i/DiOp4xJBF+Y4u1rLyTF0byhn+xWi9sD8ql95kA3t3smkymWyetFyynDpritaZ Orpe7sorr8S2bdtgMBiEKVo6zTp0qO3i3DvvvBMlJSVYvHixsFHizJkzWLduHbZv3479+/e7 7DfWTh1dOBh49WRUzpsqPGNo1ZPie+KPSHL0ovZSJCajw6KUcju1lOdO+RfCb8Jw9Hn0blQb WnEyqM2p618XTHa3qKc+nTAALFmOETXk/EwnA4AUXHhb1wjQ/mC4ehKq5l3uHajO7ZCka+O8 uT5OCvPClFqxCQknpTylvbbH9HkInT4JJQ+3jZWWK8EYQsogiDs7W+moOVunpSeb9ia2kpJI jJYEKA2HrwMPI3HbP0mGzOyQtcjmUPSvd+yAiZXFXbFmsXR4O/kIZPuXwjgyGQMWzcfvYaVo 0bUtI0hqDEePpo4EGVOnjr5gw4YNQikTo9GIRx99FHPmzDlPClruZNWqVXj33XcFh45uppg+ fToeIVOqiSRCcnVZO3V04aD+qvE4+8hVwiOBrQEYVus4kyU2EhFb6JZ1NGJNL1NfguaRfdDv mQdRS/ZDnAgiB9GTTRIjSBaS7m4Rc4mVVwwt2kZKVG1do29UU8p5Dp03sRMrj6t2auWP9ge/ 6eNR/XBbfxBzScnUJTTqSabYddAkxU7E8OfKjuluxh/vugeTTf2grxd3prOSdetN3oTs/+UX ofTxK21g70M+CDFWHwSX/cLDdVf2tOXYivXpMvb06JGAk840MAkgvakLMXbvro01f98EEKdu 8yuoiXT8VGxzBFLrg12SdPe9kFIKhjV2PFPXproccnpI3aAeGPji4zgQVg6zrs2J79cQgShz h349durcGR/r+9ZO3QmycNBv6mhULbhGeE0IOWlhsAcnLQhb3u+5DxO6X4SgE23Zsc64hKNf hsQjbcmjaCD7BI6GFCPQ3IxhDeKPf+oMvi3v9KRGX2fyrfZ30/6gI/2h+lx/YClPOMm0ppE6 SEq6pE69Kol3X/NCF1kHTBqNlHn/h/1hZWgmC+zpNagmDKHkH7VcYsrWqEUWVnx+G3AECe+9 jNpYx4FNj6Yoks0Rlwyw50lOcV9WcnE6tgjk+Vegqn8kBv9jIQ6HVbYfCze4NhIhrR11+lTt 1J3UF6J10jBUL7xOkD68JZR8eJzM84uIMttqo+0gtdHcmxPraMSanqC8PhEY/PIzMJJ+eji0 GLGmIKQanYRiDth1F3m5l9C2hZioWuwpGt7ETqpcjtqrlT/aH1ouGYaaZ9r6g5hLbKYurbEH wpvcUxRjJ+6pdLRwZcdypl6VrFtv8iYs6bh4GPr8/R4cCz1Lyl+Q9VetZOcr2RXpT/L/Yq7O GFMsfFmvcXZWl4wlfixpURm8SY+eFd7zP8tQ28NxoftEUzQ5TcJ1EXxnulXCekSeqWvrBQV+ FShPDcPQVc+SPlxN+jCpS9jaQnavd4M/WXpmuVTt1J3WF6HpokGoff5GQZ5ocmhxXxeHFrsb uISPRLU/Eg46L+LojgaL+4V+lShJCsTw15bATJy6A8SpSzVFIdYoL9piwZMYGnIGADF0eRtx CAj9YfxA1C7+k7gHRLTqrJqPNh/zJS+iufH8Glx0rdRkDBY99SpC3C7b5LR/EVrHDkS/J+7H 6ZBanPWvg97chJENrpe7KAEQGizuJoe1j2gii/Nr1JNV9BV2PwQeQ483l6A22fEUa6oxhiQF XDvuTtcj6sh6xMY0XvvRV8p08Z4iv7MoTtITv+BFpIfWosavjmwObSWbQ3vaPKVqp47uBjGN 64faF2YJQsWaydqBBseG7W5tzk/3zEEr+XCI/Uh4M/Ki5/nl9SAe+BsvgdYA/y28GMPquiOw RSfatHwdVbdXa28k1drdLEj2JnaiAXLRUK38Cf1hLOkPL7b1BzGXw0wd2d1KzxCUsxlCTqau LQuzGM3k+ED7i+U6KUpbybr1Jm/COt0LyDrdpx9ETlA9Sgw1CCcRY1qD42oBjmzH12OKhQex 67lY4seSlrftbkfgcXRf8yxq+zieperfEItIs+O6kRZnrrbnQFwyfBRiP/xdzLDhsg1r7Him rg3uUnIGfG6PZoxa+xJOh9bjrF8NAlr8MJxk6qwv1Th1JpMJxcXFeHXjOqxe9ALOXH89UPg7 cieNR/AzU4XSDAMSYtCS0YLUhOD2QpSWgcjVb1DGPhz/8Sim7i5rH/QthtkZvxEFJ/DbwJ6Y tuxBSXJIlZtl+9+/3ge/r7YgqiYNqXl5isBRa3zQ/pBD+kPIuf4QnezXXrLE4ry5+k3oZUDI 6VDJ/ccTOzp5sgwFi/+O2JALMTy3nNvNuVIarMedX5PDERXXBANZMxyS4odDxRUY0CMILdlk WYfE8dJX7ZOiWvH506sQlnMQSYnTMOBkIbcPB/aRW/IVdM8tQtD4CIf9fUJcN5TkNrXrOSHY iO3Pv4bg7AOwBE1VCQP5uK3w71ZEwXH8NigB05bOxS8VVdD3bkT9GT9Miulm4yeoxqmzeKLW GyXOkC2+NcNIMb5Vtwm3e5AabkmklpvUKFNpa3PO+tXjRHg5xr37L9lRk6+jaikYso7kOL02 M7HvD2KMxzpTJ2Z3qzuaUjN17ha+a0m33pRV2Hw1uAfSXngcZ/VGnA4+i94NIehmFl/OxNdj itSNMCzxY0nL25m6nwKOI27lk6gdEuOwew6vjUGA1bGSjpbJsJSXJS0qEM/Utam1kky3noqu xoXvvIbsEBPK/CvJPoJgso/AtsyZqp06usW3elA3NLx2pyB0L7IgNN7NglBHaweUtjanRteI Q6EFmPDev919Qzv9ftuOYWlT153OdBdlgPaHKtIfGs/1B9FiknUZqD2EIZiAYHhWz0rsO5tJ yaMds+8iC32Bi2MnIug0KdvDL68hkOtfjpoBsRi0/Ely8HsjjoVVIa02FOGtvtG3HMGkBIpy 6HeVZ34OOIG45Y+hZqT9VDrpXDWHcAGmwo9sh7FUd2ita4CzzSZdBZOuKEeVrh7HI0my5z// Qm5wE4r1FYg2h6Jvg20fVrVTR3eJVg6IROOaewQd9jbFoJvR8YLQjDPVOPPk30DOM4Gj2mlS jYB1NGJNTzikOSgLl3y4QSpb7e19FVVLjaa9HbXKBszqQW/q1pv80f5QQfqD8Vx/EPMumqmL TaJnQ9outhXzrKM2YjN15YcOI/PdTRh71PXh6mrVhRz8vCkrtY2zfSMwZMUzpJyJGftbv8NI 3aXQW2Vw3PHsqzHFugC82DXOrMcVb+rCHc5i7lvztzMgHTEvzEftmHibR3UkWBtt1a+FsXrb lxiV3lH+wvIAS3lZ0qL88Uxdm5Zq/BpJKZNCXLTxLRQGm5GvL3e4j0DVTl0+ST+W9wmB8c37 BaFTG2MR2+R4QajwEfn3fzD2tPjpBjGdyxttTGTQ3Rl4ClM2v+sN8kxp8miaKZweEaP9oYz0 B9O5/iCWmIEcr0cLW/vyytj0Htm1UIx+u2p8+VrNvsu6HILSQRBbAF7pcviKv90BJxH17FzU XmS7k1lP+vVIq34tjNUFTUjIoNvv+KU2BOp0RuwPycXF769DcVAzcg1l6GEmS84abJecqdqp KyQfsZLkIJjWPSDopx9x6qKcOHW73/sS3Ylj1+/Q+aUR5CiXdTRiTa8ZLaC1h6ZufV8Oa8Iz rKNq4RDnrW+eV1pCHxiIyeYBkspKeBM72YBZPahW/mh/KO4dhKa32/qDmItm6nomkpNY6jw7 Xs/yLrGZur1PPIU+DVGIO+m6fJBadSEGe/s23pS1yJ+UQ0g0kHIIL8hhzStjiiNbEY4WXL4C F8WNk1wAniV+LGkJ47EXz5L9JeAUIp++D7WX9LbRbQCpXTacHJvZQk5w+uH2/wM55gmTmwdB byQV7e0ulvyxpEXZ5Jm6NmUJM3jB2bjkg/UoD2xFVkAJejXFIL7RdnZS1U4drdtSlOSPpvXz BKHTyNbtcCdbt4WPSHEY4opEVFCVPeyxe5BWCafXpe+/C53h/E7I7k0dlJzVKqIt9GRNBotp a2/wzWm2IUD7Q2EiWTuzoa0/iL1CWgLJSSziDnUXS9NZO2Et3Z1kLR35ndI8GP60uja/vI5A MSmTVJigw4g1y7z+Lncv4OOMO4Sk3f/VcArhC+5B3WV9bB4Mbg7AkPpo1Obk4uCLSzExh80S C2nc8dasEDChCTuDTgszeJWkZG1GQDFZchZHlpx1+Ae0b6nGqXNU0iS0gER1w1IQ+cqNwlbu i8nW7WKrrduRlZn48a3/IuTMQVSMuBoz9+QgJzGZydbtX0aMwPiDB5ltsXdEL6PkC/Re+jr6 9Y+RXNrklyNVGD800ulzh39JR8mrz6Mqpg/CCo6hNmEwogrS0a37ZIelJY737YtBGRlM5LUY OauSI5xeWwkZ+/4gpqRJ7m9mDB4VjoBTBialLY7/kIlBU/o4tbtDu47DuPltdKsfLKof+qKf eWKHLPnzph0fSCLlnsynEbVosWw9t/MnogSKML6sXISqbv3bxxf7caZPeQNKY2JE2YGYEi8s 8WOpV2pf3qRXWvwDGh+4H8EzkmxKmiQmhiDoVACCs37HsZ9OYOrPzkvCsOSPpR6o3rtVVCjW Tih/rOV1Ri8p/ww+TdHh2lefxrGSBtT3rUZQBjlhonsoTmedRe7CB1Ednaoep84iqHVJk1K/ auT0aELLf8iaOn0YhpFUs76xWdhVZ66rV3126YeAYxi/agUCk+RFWDwiZhUjqYOO0B+6k/7w /mOSGI5uDiMnsfimUj9fSydJNcwal5NCpVlxjRj971XMaFoTsh9r9OQkglGmFMSQM4P55V0E 9hoyEDr/VtRNH2TzooiWEAyoC0fGe2QZz4k89NvXuScleReFrk+9hSzL+jbwKC7f8j7qydaB Y8HFSGvsTo5v1MF6w6JqMnWOnLpyHRmoujUgbP39qAmOxEiyLqjqwHGHu+pYz/P7gh7dqj7y +WcROtg2rS7GfGmkXP7qCxhR05PJwMpyXYMvsBODkbM2auWP9odM0h/w4ROixacZ7n4JkeQk Fte7UMUSdLemTlgGEZSKuF8LRJFUqy5ECWfXyJuyVvjVIiOmFmPWrZbDmvCMJfvm6OQPOcsz WI4plD+W+LGkxZo3e3r7DJkIeeB/fJ1qfAAAIABJREFUUTdjmI1uo0iw1o8Eawf/sQI9KvwQ f6jWqe5ZysuSFmVYyXbibd3aK0xYlkUcugmb/oMjUeUYQk6aCiYnTVlvWFS1U2cpxjdw3XNI 1+0j9XguR9amD7rMrrrdhpMY/PjfETF26Hmd0VUWjjaWM8jKHu35g4pAwNIfdFuflsRPN3Mk KUR7fpkDSURENG4hx4B9f+sdmBIyFvqiKhFP8CasEDirq0N69FmMXf+6JJLW4wyt5zkqIhUx Rb7J6kpiVMONfzNkIWTOTNReP9IGhVhyFnoqOQt9Jz03tz4e4YXqWE+uYVWKEv3bwCO4aO1r OJpixrCqGOy8ldTppZtgzp2DrWqnjp68kB5ZgbEb1rSD4WxXHevowRf09gZkoM99dyNm6vh2 +YSdTHeQnUwtrRg5bZbTs/pY88cyWmLNG6fXZh7W/eG38BJS19d96QKaqRsYH+v0JBZRo4xV I1eZuqpTp3Hsn2sw4ZT4TRla0q03Za32a8DR8FKMf3etS5W2ncO7hJzDaxLaWQeHrPljOaaw zpiwltWb9H7XZyHo7htQN3O0jW5psJZca8C3N/8VU42D4Eem6ZxdLPljSYvyq2Q7YW13Yujt ICeIjF72PI6PCkG//TU4/spqTMiMa1etqp26toGqhAxUb6C1hZQBufX2LrWr7ncSgSXe/r/o NmNqu8KEnUzL/4GJWb6tKyb1487b+x4B6/6wn3zAaWkcMZejbfFinpPaJvfLr1Dz+1EM2Vkn 9VHe3kME6Ck1h8PbCpc6u4RyIstewojK7kyWbHjIMn9cJAIHDNkw3P5H1N98oc0T3Zui0D2/ BnseXYDJRckiqfFmSkdgFyk2PfSJRxE+eiiEMXX37xiyz9w1nDphoAorwEWb/g1TTTV23j8X l5X3dagT1tGDL+gdMuQg7sZrEH/zjHaZinbuRPHXP2LkvmaXtseaP5bREmveOL02U7DuDwfC ymEmRazdXTRTN6JnN3Q3Oi7a7e55+/uuMnXH/vk6wk0hSP4mVzRZLenWm7IKhUtDSeHS99ad h71wgsMDD5Ij21owsvcliD3o+Mg21vyxHFOoUCz5Y0mLNW/29A4azsBwyzWou6VjRoe2iSc1 zEIPZuHkmjcw7lSkz74XrLFTsp14W7eOlLbHcBr9/nY3oi+7iMx8kDG1yg/JO0u7hlNnPVDV 5eXjwJIXulQtnqP6XERcPRWJs2e2K4zuZGrNLEP/XZWiP4y8oTYQsO4Ph8IqYSLFKp1exiLA RD7eYUORauqJWJP368Xtnv8wBkePRNQv2dpQiIKkrCe28FtINia+v/48rugJDrpaI9K+LFEQ x5wVsQjQ4N//f69C/R0X2zySSI7NxHd7UPLF9xhxQCw13k7pCAgzeLf9Gd2uvRzCmBoyCFH7 C9Xn1DmqU9czPxPf9AnENauewOE9p9Dw/pvoXjfIYd0jlnV4vF13yFI3y1S0B5VXTce4e/7Q Xvfru9c2YXDhWTSWBbus78RaXl6nLlF2PS1Lb/OkHpol+qW/zuhZ94cfKksRltxiU7dKqFuX UY7o7nnQFfTD6IQ++Cg9D5OHJqDyjFF2/bJUq7pljurUWepFRpSeRkri1eh7OF10vUPWdqxk et60k3RSFqmobAeSVq1t13NK9wB8/NhShBenI3HUzUgjDoC1ndnbK2v+lFx/TMl2Yv/9qS3e jYqbbkDI7BE2/Z1m4LPe34mog3sRWBjns++FluzE1Xgsd7x3h19N8S403TgLo/48BR/Nex4z qiKRE0gqGJB6iJQfVa+pa4QJvwZnYRI5+L5kz14UbPscow755vQFX3jzp/2L0Dp+MPo9Pqf9 dcJOpupeCC81+oIF/g4VIWDdH46GVZFjZWyPxAtvaiF1jWwP/U4PrkCCOYbUOmIjaNtC+8Vk oX0HQb4Tmw22nlCxrkZvoVNXWIj9zz6PS3JtbcKT9/BnfY/AEX0OdDdchvo5l9q8vI+pG0rX bEBgzlmk7uVnLPteM9554zF9HkKnXYyeN/8Bu+Y9gktLbI+HU7VTZz1Q5X37Hap+2oOhVgsG rSFlPc/vC3rZ/qUwDk/CgOceBi0H8cMdZOtynRGXmobAD853MlG5WfPHcl0Da944vTZLt+4P x0NrUEd2hwuXmdSnashAWusYhOvIlIzV9WtpBYbFRyPE7NqeHA1PjsrqRAUnon9QELOyF1rS rTdlbdI146fAE7h086Z2VZb+/jtyt3yM0QfFradkzR/LMYX1mMdaVm/So8t0Wq+dhIYHLrfp pn2N3ZCzZCV6VAUgfv9Zlx4GS/5Y0qJMK9lOWNudGHon9YXwnzAM3WZOx5GXV2FChu2Yrmqn ThioSIHeS7dsQta2j2A+lIkBe7rOzro8/wpUDYjG4OVPQSgHseo1TMhmc/C6d2IITrUzEbDu DyeIU1d7zqkLb6hCmnmAQ9ZKApsQaTYg0PW+m/ZnbeqWGQIxqj6R75TsTKWLfHezjlQHICfU TN3yXvsTZz79HA0HTmDQL+ecf5G0eDNlIUAzN63XTED9Q1faMEZPGzj+8BMYQH6jTzkvPKws aTg37hDI1JfAPLI3Yq67HNnvbcWYwwabR2Q5dS2kfMiCBQuwadMm0P+eNWsWli5dCj8/P6xf vx6LFi2CmdRTe+6553DLLbecx2MTyTotX75ceL6goADx8fGYPXs25s6d604eWB8TRks2fE+O zZhKjs04tX4D9CTN3OcXx0VNWUcPvqBX6FeJ0pRgDHvl+batyz/+hiEHxX19WfPHMlpizRun 19ZtrPvDyZA6VPuTKZeaQw4zdJaOdqy4DgMSQqF3Y1Y2OyRd1EdkaSdiola3A4ZdAyXbijd5 ayE1C78NPEyOGCLF2c9dJ958C8HFRqTsrhAFI2v+lGwrrGX1Jr3j+nw0XzUWDY/8j40eBzX0 wG933INxjb0RVOG7agmsZVWynXTGGJXjX45akuyJvGYyKnb8imF7bDfEyXLq/vvf/+KNN97A O++8Izhv1KmbM2cOxo4di2nTpuGTTz6BP6k+fu211+Lzzz9HamqqjbHdddddyM/Px5IlS9C/ f38cOXIE9957r+DUOXICrR+2duqsB6qjr/0TkWVA0l5xA5SoUayTG5X6VyO3ZwtG/esfbVuX c4xIPsIjrk5Wi2Jfb90fToXWo1pXjdG1rs8NNvu1wq9VR/51LRbdIYmccgzcy7M6ijUAN4xZ jhi69O23oAsNxe9k7WNSI6lldpDvpFerTinfJ/QFME+7AA2P/aFdjFZSnL76hkehazTiMuMQ 6JqlL69QMyZdmfdCf5LsSQpE+LTxMB3NQtou2/WSspw6e8CeeeYZREVFISQkBMeOHcPKlSuF Jk899RRiY2Px4IOkBtK5KzMzE5MnT8ZRsqA6IiKi/e979uxBdnY2Zs7sKN/hSDHWTh29/3XA IVy6ZjUO/3sdEmrD0OOAY6eOdfTgC3rCeY2x5LzGt1eTrcuPYHB5LKLK3Nce80b0wDJa8gV2 nnRqNfNn+XCnfPwWqvV1GFnb3SUUWQUNwm5IVxfN0u2a+xAurkhGIGxT/fbPsbQTb9ixknXr C95+JNXoxzy/EMGDB+Dn++7HKGMywopclL6xUjBr/pRsK6xl9Sa9k/4FME4dgcYn/tjh1NXU oeavizC1sr+ooZAlfyxpUeaVbCedMUaV+pFkT/cmhE66AAF5tUjdVW6jY4+durKyMkyZMgVb tmzBe++9h7CwMMyfP194yZo1a5CRkSFMtVouOuVK227evFmUsdk3snfqaCG+PrfORMbeXejf 2AMx6V3nTEnhhICIUlz41qv44bb/w2U1A8gGCe/XE5OlGP6QYhD4hkyzpXzwT9RFtGJ4Xcfx MXIZFLJ0ezMwMCdALgn+nEIQEI4enH0roqZNxHd/uQWXGwdDx2jns0JE1Bwbp/wL0TB5CIwL b2iXvbmwDMZ5qzG5oJfm8OjqAgtnfEeeRfCFQxBzVo9ee8gUpdXlkVNXVFSEP/3pT7j//vtx 0003YeHChYiMjMS8efPanbqsrCxhvZ3l2rhxI7Zu3dru1K1YsUJ4jl7JyclCBs/R1VxejvqP PsKr5YV4fMoVCH/kEcGDLzJlQte/HwobMjGwaQDi8s+2e/YWD5/+lsbEgNZFCquvd3hf6t99 Qa88xIDjfsfR94bbkLt7OwbndRfNP2v+LDqRipOj9lm9eiGVTL9b68cTupxeiI1d7ImoQPTr 82DOqsDAkcNhOeXB0W9pUgK65RYgbFzf89oVb9mBIx+uRbhfd4ysjkBTSKRb+2NpJ2rtt3Lt 2hd2nGVKR+S4SxB982SceuENXJAbILofsuavjMzuxJ11PF7LGQ9Y8sd6/PQmvYwwE+pGk2Mj r7gYxom9EPhzPuq7NyNoyXaMzNKJ0i9L/ljqgdqBku2E8sdaXnf0ykL0OOl/EuG9hyDeLxhB pxttxmXZTl16erqw/o1uhrjiiiuEsXzt2rWgf3/ppZeE/3/yyScRFxdnM/1K79N1dydOnBCm ay3XyZMncd111zl16izt7DN15XSKMpwsHDQ0Y6KxHwJqxJ13qQZv3khC6N1BGUi8/hqAnCLR b7frbelqkInz6H0E6IHPvVYvgrF/HAbXRYl6obAR4m8PwNzQ0N6e15cTBZ2qGgm1L0f3Q9jU C1H82dcYeUhcORNVCakxZjP0xagb3xfGxX8WJNeRf1J+LkL2xg8w5miQxtDo+uI2kNNh9gRl wZDcA0ObkhGRWW0jtCynrrS0FFdeeSU2bNiAIUOGtBOk6+Xo37dt2waDwYAZM2YIGbmhQ4fa vPTOO+9ESUkJFi9eLGyUOHPmDNatW4ft27dj//79LrVi79TRHX8/BB4DSM3hyxrJgtAWxwtC Wc/z+4Kemexn/CHwOCIG9kcfQx/E7csXbbGs+WO5roE1b5yerVn8TMr89Fj6OMwjEjGw3s2Z j+fW1AlTrEfSMTC9I9ASbWxWDVnaCSWrJd36QtZ8ssi6IjkIwRcPJyvs89BvX4cT707frPlT sq2wltWb9GiJi9oxvWFc+hdBhX6tfkj46hSKv/gOI11/TttVzpI/lrQog0q2k84Yo8yklNsO 4hf4RYbjYlNfBFTarrOX5dQ9/vjjWL16tc0Y8NBDD+HZZ58VHD2avTMajXj00UeFXbH2F90x u2rVKrz77ruCQ0c3U0yfPh2PkCnVRKtjkBwNMvZOnbuBSM336YbE70jJFoQEYnLAaOiLu856 QTXrRem87w44ibin56L14jT0rwtzyW4rKUn0/a23g3RYTNQPRGA1z9woXb+e8CdsvoqqgmF4 f/So8EP8Ib6b3hM8lfBslr4U1SN7wfTSrQI7+lY9Yrf+jprd+zFkr7hNMEqQg/MgDgHBLwg4 QhTtOJEly6kT92rvtJLr1LGOHrRGj2W0pDXsfC3vrwGnEf3wbPhPG4U+dedn3iwFhHX+fkhc sBSFy57CFLujZuT2XpZ20hlRsFS5WeqWJS1n2NGpm71k6sYvIRYj6uMRXih+lwRr/pRsK6xl 9Sa9M+TkocrhPdG08g7BfAPIP+Hv7ID5aDYG/CrOaWfJH0taVB4l24kSxyjNOHVSB2veniOg VgT2BWQics7N8J8xAan1beVKbE6CIDUkR0Wk4nBlDgbOfwCZH3yAi05Hq1VczrcEBFpJEeLv Akj2n0T5lzaR4wabeP0yCfApsmmOfxnKh3aD+RVyjCS5gloDEfj6p9Bnk2L8v/J12IpUmheZ 0oxTxzp60Bo9ltGS1rDztbz7DdkIvf06GG6aiviCRux8gNSJbG3BSLuTIH41nIL52j8h+NQ+ XCDy/E93YxFLO1FiFGwvP0vdsqSlBuyUbCtq0kUuOWGgbFA0zK/dLZhncEsQdP/YhPCSViTv ta1h5qz/spSXJS2eqXM34p5/XzNOnXRo+BMcAXUicNCQg6BZVyH4tmtQ/89N0JGTINIcnARx 0HAGpgE9EBoWhcG/NqpTWM41R0DjCNAzwkvSItD8+r0CEqGtITAtXIue1SHouV+cU6dxCLuU +Kpx6kwmE4qLi/HqxnVYvegFnLn+eqTm5bXvjrNEB85+fxkxAuMPHhTdntNLtMH3eN++GEQK SbvDRcx9Sw+Soj9XdDk9235QV7wblaQ8UOM3m1AX2QfTs1pQkJh6Xn8xFu3B/gvGYYyhFvoz oZL6kzN9sLQTah9a6rdas2NaN5TWR1PiOKAmuwsoPIzjYwYictkMVOa0IDkxHDnPfoALShpR UxUiCl+W8rK2YyXbCR0HWcvrKT3VOHUWQeVulOhSrjgXhiPgAgF6wLd50nAU7f8F01wcE5RN Flink3MjB4+ehqRdJRxTjgBHQIUIFPhVoLBvCFre/JvAfURzGCrmLMJgYxIis3jFBBWq1COW NePUsZ7n1xo9lutftIadr+WlZ0HWXdAbZwuycGl+RyRpP1IU+ZOCw8mhuKRbErrvKfJoILE8 zNJOKE1fYycVBJb8saSlBuyUbCtq0kWhXyUKUgPQ8u+2M9ajm8NRcOvDGNPYFyGl4uoQspSX JS0qj5LtRIn9TDNOndTBmrfnCKgVAXpqQEW/CDSaGzApI9apGGf96kE3S4xPuwqRhwrVKi7n myOgaQRocJaX5I/Wd9qO54xpiUT2DXdjcl0a9Mauc8KSppUsQXjNOHWsowet0WMZLWkNO1/L m+VfgoKerdBFhWHC0VCnw0EjqVn2WYoOVzd3Q1AOm9IHLO1EiVGwPZgsdcuSlhqwU7KtqEkX xX5VyE0kxWo2PEI2ubei6oZH4VdrxGWmoeTAMHEXS3lZ0uKZOnH6s26lGadOOjT8CY6AOhGg dasyw6sQkpKKsQf8nApBa5b9FJSOSwyjoKsRN02jTkQ41xyBrotAqX81snqaodv4KFobGnH2 pidxRVVa1xWYS+YSAc04dayjB63RYxlVaw07X8ubTxZOHw3IR9zQUbhgn+25gN7MNPGo2rOv ja/tRCq3rPljOaawzkyyltWb9Mr8qpHZwwTde4+jpfwsau/9B6YW95akXpb8saTFxxRJahQa a8apkw4Nf4IjoE4E6MLpQ6RWXcLI8Rj2K8/AqVOLnGuOgDgEyv1qcLpbA/w+eALNeSVofHwN puTEi3uYt+pyCKjGqeN16mzrxrmq2+aN+l4s649ZepES61Mpse6QPU7u8AstOIqfeodgSI8Y BOZFuqxTxbI+FeWTpZ14w45Zy8uSnju9Su0vSqen5PpjLPXqbTuOLDiBPYO6I/afN6P8l2IE v7kOyQ3DRdWns3xHWMrL2u6UbCdK/F6oxqmzGAqvU9flAgsuEGMEaOS+z5CJfiOnoO+vlYyp c3IcAY6AkhCo9KtDekwV/LcsRNOhU2hZ8xkmutggpSTeOS/sEdCMU8d6nl9r9Fiuf9Eadr6W lw7yewynMXj4VCTtLXM5arDmjaWdUMZZ86dkekrmzRu6ULKtqEkXtDTR8agK6P+7CE2/HIZu 08+46IBekrfAUl6WtKgQSrYTb/QLT/HTjFMnycJ5Y46AihGo1jVgd8BJjBx4GXoc5Gc/qliV nHWOgFsEqnT1OBpZBsNHz8H03V4YPjuIsfta3T7HG3RNBDTj1Hnq/dqrX2v0WEZLWsPO1/LW 6Yz4OeAExvS5FLHHK3imzgoBX+tCymdDybx5IyPBckxhzZ+adEGDuMMRxQj4eDEaP92JkB9P YfSvTVJMj2lGnDV2SrYT1nbHgp5mnDpJFs4bcwRUjAAtKrwj4Dgu6jkJEWf42Y8qViVnnSPg FoEaXSMOhRcg4JMX0Pjht4j4rRAjdvNd726B66INNOPUsY4etEaPZbSkNex8La9JZ8b3AUdx Sfg4hJQ18kwdz9Qx+XyxtmOWYwqLDIc1SKxl9SY9mpn/PSwXQZ8uRcOGzxFzrBpDd9VI0jlL /ljSokIo2U5Y2x0Leppx6iRZOG/MEVAxAs1owTeBhzEVo/jZjyrWI2edIyAGgXqSmd8XegbB ny1D/b+2okeWGQN38wy9GOy6YhvVOHW8Th2vU+esTpelY0qt49WV6X2S0oJrsv2QnejabljW p+J16vLa1yZZshVSfrVmx0quP8a6X3iTXs/8THzTJwA9/z0bhau/x+DcCvjnhfA6daRupqP+ 19X7mWqcOosieJ26rhhbcJk4AhwBjgBHQA4CdA3tL0FZCN3+D9QueRspFRFI3et6g5Sc9/Bn 1IGAZpw61vP8WqPHcl2D1rBTsryseWNpJyzWl9gPw6zlZUmPJS01YKdkW1GTLoy6JuwOPI3Q L1eg5uk1GFDdDYn7pTl1LOVlSYuvqZPuSGrGqZMODX+CI8AR4AhwBDgCykaAbozaGXgSYV++ jJqHV2FQfS/EH+UnyShba97jzmdO3fr167Fo0SKYzWY899xzuOWWW2RJJXf6lXX0oDV6LKNq rWGnZHlZ88bSTtSQbWKJH0taasBOybaiJl006ZrxE6lLGf7VSlTftxQjGlMQd7pa0veVpbws afFMnSQ1Co194tRlZWVh2rRp+OSTT+Dv749rr70Wn3/+OVJTUyVzLNepk/wi/gBHgCPAEeAI cAQUjoAZzdgReBwRX63C2dsXYaxpACLzahXONWfPWwj4xKlbu3Ytjh07hpUrVwpyPPXUU4iN jcWDDz4oWS65Th3r6EFr9FhG1VrDTsnysuaNpZ2oIdvEEj+WtNSAnZJtRU26oCWMvg88isiv XsHZWQswoSENoWdNkr6tLOVlSYtn6iSp0XeZOjrtGhYWhvnz5wsvXbNmDTIyMrB8+XLJHMt1 6iS/iD/AEeAIcAQ4AhwBhSPQilZ8TepSRn/1KipnzMdljYN5fUqF68yb7PkkU7dw4UJERkZi 3rx57U4dnZJdunSpW9lO52Rj85efodVohDk7G0eNDRjWvScC9+6FWa+HnqzRE/N7NiICUdXV otu7o6s1ei1+fvBraWGCXyWxheiqKlF6c6cHep/TE98P7PFkbccs7YT2a9b8KZme1uy4ISgI wY2NihwHlGwnjvpFCcqg9w+GubkB3RAHg8jvomU8YCkvaztWsp0o8fvjE6eOTr+mp6fjpZde Epy4J598EnFxcbKnXx+bfZ9bZ9C+QW5uLpKSkiQ/5+wBrdFr/PlnBE2cyAQ/rWGnZHlZ88bS TqixseZPyfSUzJs3dKFkW9GaLljKy5IWtTsl24k3+oWn+PnEqcvMzMSVV16Jbdu2wWAwYMaM Gdi8eTOGDh0q2Umg069ynDp6IkVAQIDk9zl7QGv0av79b4TfcQcT/LSGnZLlZc0bSzuhxsaa PyXTUzJv3tCFkm1Fa7pgKS9LWtTulGwn3ugXnuLnE6eOCr5hwwahlImRTKM++uijmDNnjiwH Qa5TJ+tl/KF2BJrLy+FPNrfwiyPgCgFuJ9w+xCLAbUUsUtpux+1Emv595tRJY8t5a7rGrl9y CitynA5HgCPAEeAIcAQ4AhyBLoGA6py6LoE6F4IjwBHgCHAEOAIcAY4AYwRU79TR9Xl33XUX rrnmGgGaJ554Am+++aawwNqyhq5///749ttvkZycLBq+77//Hq+99pqw9s/VtWTJErz++uvC WsGHHnoIf/vb34Tmzz//vMAH/Tudbr7zzjtFv5s39A4CnW0rFqnuvvtu9OrVC08//bTwJ1an rXgHNe1RVaqdUE3U1NTgsssuw6effooePXpoTzkKk1iJttJCqhQsWLAAmzZtAv3vWbNmCZUm /EgFA351HgK+shXVO3V0R21lZaXgRNFrwoQJCA0NFT6Yl1xyiVAP7/rrr8fBgwclaVOMU/fD Dz/gmWeeEdYLNjc3Y+rUqfjqq69w4sQJocDyhx9+iCCybf+mm24Sdv6OGzdOEg+8MVsEOtNW LJLQIIE6/7NnzxZslOVpK2zR0i41JdoJ1cZvv/2G++67DydPnsTx48e5U6cAE1Wirfz3v//F G2+8gXfeeUc4lpM6dXQNO/0O8avzEPCVrajeqaMDHc2EffPNNygqKsKf/vQn/OUvf0FhYaHg cNEsyIEDB7BixQqsXr0ar7zyirCjjrahGzd0Op3Dv1OHzZKpW7x4sTCg0sgnMDDwPKug0RB9 x1//+ldQZ5B2KEqXRkv0okWWa2trhbNv+dV5CHS2reTk5AhnHtOscn19veDUsTxtpfOQ7Vpv VqKdUITpLAD9QNOZie+++447dQowO6XaijU09DsYFRUlq4SYAiDuMiz4ylZU79TRDNmAAQOE Y8hoFoRGsfTDefvtt+PHH3/EPffcI3xEafHjZcuWCQ4XzZ7RiPfqq68Watc5+nt8fLzg1I0f P16g88EHHwjPObqo80Y/zjQjSKdiP/74YyEzR51APSmgSgfiwYMHC/f41XkIdKat0HfT9Dud rv+Z1PwrJ7uJqVPH8rSVzkO2a71ZiXZijfCQIUO4U6cQk1O6rZSVlWHKlCnYsmUL0tLSFIKa Ntnwla2o3qmj5kHTyvS0CupY3XbbbcK067Bhw4Ss2bRp0wSn7OWXXz7vWDLq/NF1KfbHldG/ 33jjjbj55puFNSw0nX355Ze7tESaeZk5c6bgQNI1UzR7+O6776J79+5Cjb6GhgasWrVKm9as IKk7y1aoM0ePynvggQeEYMHi1Hly2oqCYO1yrCjNTrhTp1wTU6qtWGau7r//fj71qhDz8YWt dAmn7p///Cfo1NYnn3yC/fv3Cxsk5s6dK6yt20uOE/v6669BP5400/b444/bqNfZ36lDSM+q pdkUOk27a9cuh1Ov1sSo00b5sJycYblHT9CIiYlpPyZNIfalSTY6y1aGDx8urJ+zvu4gxZxp 1oXVaSuaVKiXhFaanVgHhDxT5yWlyySrRFuhYwpNTtBv1xVXXCFTMv4YawR8YStdwqmjU690 E8L06dOFaVJ60SlQmmmjU6PUkaNrUO69915s3boVsaSILp1+pRm0fv36Ofw73TFrWVNHOwdN XdOdtdYXzcTR91FF0QWpNFPDPqQsAAABiklEQVT32GOPoVu3boIzuHHjRsHJo9OvX375JShN fnUuAp1lK9ZSW2fqWJ620rnIdq23K81OeKZOufalNFspLS0Vvm10Ax8NAPilHAR8YStdwqmj Kuvbt68w5UkXEdOruroavXv3xvbt29t3na5cuVJY10anVOmGCrp5wt/fH47+TqdsLU4dTWNf dNFFAi3rdQl0gwR1GKnzRrOD9N2UB3pRZ/Ltt98WMnTPPvssbrjhBuVYlsY56QxbcebU0b+z Om1F42plLr7S7MQiIM/UMVe1xwSVZCv0m0Q3BVpfdMc9/Q7xq/MR8LatdBmnrvNVxTngCHAE OAIcAY4AR4Aj0HkIcKeu87Dnb+YIcAQ4AhwBjgBHgCPADAHu1DGDkhPiCHAEOAIcAY4AR4Aj 0HkIcKeu87Dnb+YIcAQ4AhwBjgBHgCPADAHu1DGDkhPiCHAEOAIcAY4AR4Aj0HkIcKeu87Dn b+YIcAQ4AhwBjgBHgCPADAHu1DGDkhPiCHAEOAIcAY4AR4Aj0HkI/D9Te5qR6FZO8QAAAABJ RU5ErkJggg== --------------lcThaOgCag5C2YGx6oYdd00i-- --------------uUoqtfInfUfEpYckdRFVN1bB--