From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 88482 invoked by alias); 23 Oct 2017 16:57:39 -0000 Mailing-List: contact gcc-patches-help@gcc.gnu.org; run by ezmlm Precedence: bulk List-Id: List-Archive: List-Post: List-Help: Sender: gcc-patches-owner@gcc.gnu.org Received: (qmail 88468 invoked by uid 89); 23 Oct 2017 16:57:39 -0000 Authentication-Results: sourceware.org; auth=none X-Virus-Found: No X-Spam-SWARE-Status: No, score=-1.3 required=5.0 tests=AWL,BAYES_00,RCVD_IN_DNSWL_NONE,SPF_PASS,URIBL_BLACK autolearn=no version=3.3.2 spammy=estimated X-HELO: mail-wm0-f53.google.com Received: from mail-wm0-f53.google.com (HELO mail-wm0-f53.google.com) (74.125.82.53) by sourceware.org (qpsmtpd/0.93/v0.84-503-g423c35a) with ESMTP; Mon, 23 Oct 2017 16:57:37 +0000 Received: by mail-wm0-f53.google.com with SMTP id b189so10755756wmd.4 for ; Mon, 23 Oct 2017 09:57:36 -0700 (PDT) X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:from:to:mail-followup-to:subject:references:date :in-reply-to:message-id:user-agent:mime-version; bh=I+DZPN9SorekoOJKx1uluypKwJctldNyby+iRjAUSgc=; b=M+8EdEZuieDHzERT9dwEtJf6ah3gutiQIHI8vm6L35XlWFjpmcoV+DH3RnScc+wxC1 434VjmM3ScY8rw88bGFsJ6tKwpvkgTSehhXbw0/sg0VgMa/peAtysds/sSicUUD2cs3L pnsngfyR3YxU05hoReq/lMviJjgpRrlRIGRMMKFE95XnHZLIii1hQtDXmcP4i2aY9Ztj kven8IC7SC+B8U+8rVUSgJGj+E4nF69YgNk25j0gRZPxMwqQLHJlgWfdWmcJaTe6nnfd pg7k58eYsYUwS7MoCLwbq40/DbBt7eAx+5J5GAwpYPiyXui320zJVer5wUYW1j1/NgqC OcfQ== X-Gm-Message-State: AMCzsaV77ZI6EO/TYtP4Js+Gh6doAcL3V8xOzHB5W885CwF4LaRR3SFD Mw2/tTgJxj0QYpn5Ben63qxL7FxaBaw= X-Google-Smtp-Source: ABhQp+SbWBtlTlU4OGpWE0+s26xVU7Kx+KhwnmAdhXk7/sp+4p6MYu6QsPMZwRIFxn2ZdYTa1kd41w== X-Received: by 10.28.181.144 with SMTP id e138mr6754036wmf.115.1508777854710; Mon, 23 Oct 2017 09:57:34 -0700 (PDT) Received: from localhost ([2.26.27.199]) by smtp.gmail.com with ESMTPSA id c67sm4273851wmd.25.2017.10.23.09.57.31 for (version=TLS1_2 cipher=ECDHE-RSA-CHACHA20-POLY1305 bits=256/256); Mon, 23 Oct 2017 09:57:32 -0700 (PDT) From: Richard Sandiford To: gcc-patches@gcc.gnu.org Mail-Followup-To: gcc-patches@gcc.gnu.org, richard.sandiford@linaro.org Subject: [001/nnn] poly_int: add poly-int.h References: <871sltvm7r.fsf@linaro.org> Date: Mon, 23 Oct 2017 16:58:00 -0000 In-Reply-To: <871sltvm7r.fsf@linaro.org> (Richard Sandiford's message of "Mon, 23 Oct 2017 17:54:32 +0100") Message-ID: <87vaj5u7id.fsf@linaro.org> User-Agent: Gnus/5.13 (Gnus v5.13) Emacs/25.2 (gnu/linux) MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="=-=-=" X-SW-Source: 2017-10/txt/msg01500.txt.bz2 --=-=-= Content-Type: text/plain Content-length: 3967 This patch adds a new "poly_int" class to represent polynomial integers of the form: C0 + C1*X1 + C2*X2 ... + Cn*Xn It also adds poly_int-based typedefs for offsets and sizes of various precisions. In these typedefs, the Ci coefficients are compile-time constants and the Xi indeterminates are run-time invariants. The number of coefficients is controlled by the target and is initially 1 for all ports. Most routines can handle general coefficient counts, but for now a few are specific to one or two coefficients. Support for other coefficient counts can be added when needed. The patch also adds a new macro, IN_TARGET_CODE, that can be set to indicate that a TU contains target-specific rather than target-independent code. When this macro is set and the number of coefficients is 1, the poly-int.h classes define a conversion operator to a constant. This allows most existing target code to work without modification. The main exceptions are: - values passed through ..., which need an explicit conversion to a constant - ?: expression in which one arm ends up being a polynomial and the other remains a constant. In these cases it would be valid to convert the constant to a polynomial and the polynomial to a constant, so a cast is needed to break the ambiguity. The patch also adds a new target hook to return the estimated value of a polynomial for costing purposes. The patch also adds operator<< on wide_ints (it was already defined for offset_int and widest_int). I think this was originally excluded because >> is ambiguous for wide_int, but << is useful for converting bytes to bits, etc., so is worth defining on its own. The patch also adds operator% and operator/ for offset_int and widest_int, since those types are always signed. These changes allow the poly_int interface to be more predictable. I'd originally tried adding the tests as selftests, but that ended up bloating cc1 by at least a third. It also took a while to build them at -O2. The patch therefore uses plugin tests instead, where we can force the tests to be built at -O0. They still run in negligible time when built that way. 2017-10-23 Richard Sandiford Alan Hayward David Sherwood gcc/ * poly-int.h: New file. * poly-int-types.h: Likewise. * coretypes.h: Include them. (POLY_INT_CONVERSION): Define. * target.def (estimated_poly_value): New hook. * doc/tm.texi.in (TARGET_ESTIMATED_POLY_VALUE): New hook. * doc/tm.texi: Regenerate. * doc/poly-int.texi: New file. * doc/gccint.texi: Include it. * doc/rtl.texi: Describe restrictions on subreg modes. * Makefile.in (TEXI_GCCINT_FILES): Add poly-int.texi. * genmodes.c (NUM_POLY_INT_COEFFS): Provide a default definition. (emit_insn_modes_h): Emit a definition of NUM_POLY_INT_COEFFS. * targhooks.h (default_estimated_poly_value): Declare. * targhooks.c (default_estimated_poly_value): New function. * target.h (estimated_poly_value): Likewise. * wide-int.h (WI_UNARY_RESULT): Use wi::binary_traits. (wi::unary_traits): Delete. (wi::binary_traits::signed_shift_result_type): Define for offset_int << HOST_WIDE_INT, etc. (generic_wide_int::operator <<=): Define for all types and use wi::lshift instead of <<. (wi::hwi_with_prec): Add a default constructor. (wi::ints_for): New class. (operator <<): Define for all wide-int types. (operator /): New function. (operator %): Likewise. * selftest.h (ASSERT_MUST_EQ, ASSERT_MUST_EQ_AT, ASSERT_MAY_NE) (ASSERT_MAY_NE_AT): New macros. gcc/testsuite/ * gcc.dg/plugin/poly-int-tests.h, gcc.dg/plugin/poly-int-test-1.c, gcc.dg/plugin/poly-int-01_plugin.c, gcc.dg/plugin/poly-int-02_plugin.c, gcc.dg/plugin/poly-int-03_plugin.c, gcc.dg/plugin/poly-int-04_plugin.c, gcc.dg/plugin/poly-int-05_plugin.c, gcc.dg/plugin/poly-int-06_plugin.c, gcc.dg/plugin/poly-int-07_plugin.c: New tests. * gcc.dg/plugin/plugin.exp: Run them. --=-=-= Content-Type: application/x-bzip2 Content-Disposition: attachment; filename=poly-int.diff.bz2 Content-Transfer-Encoding: base64 Content-length: 53664 QlpoOTFBWSZTWQV5+j4BHs5/gH8wKgh7/////+////////9g7399V9lfffHz 3d3d63yfATAelFr6fXj75Nt5Cm9mE+7pfa3dbLtKtee8rHrsq7AAfPNPt3B4 9Yq6AHvbt6B7uaABebV9PWtsocBSnIDLW6+59O9tfQt7uiIASKoBvrA6BQDo fT6AAAD1AQH3yj3PfYAoGh0GUqFdAaCgPvSrexpJ6toA+4BQVjrFUHQJKthL 3fe5912nvrr0+evc+9K7rz4eaDY+O9newfR9dC+9wOvQaPodOc7L7ZXvYO2G hPSdDdQHoA77zluG+88+D1ey5jp73t13u5BW9q53q8ZvuX3e+O+XnNre63bL 3envPe7ne+33vMrs3vNd9fXop73t3b3chBtzvm9V95vp27r257597729fdPv s+5uzVPvF699uPH24VKm4A33g3t7tdUvsH13q31ltlQ+zXtvbGncye8vN7zN vO97Eg6oANXt949Pm+vR6HKeVXnU6Aa6cnaTPQ9dUPWu9pfe9x0HeykA+xve 77M31M+Phx0eCJJKKvt1y+975vfIedOZpBnXj297SN2x7Y+u1ep9ffNzaFO+ w+8yJxtb7YdooDR9AnljvsZdbvuS9Lbn2x2H3u9767ZWre57s95N7e7Snxsu 98ooePQ5n3GEHAtu76fHsPo+7nPvl6942Y2x8vuZU77zvae7zbZ9eVXpQ7Y7 1n0333fO1dK0X29ecOgAeg89lu1vk9DwfWO2+433pzQ9ABbDvVynZXASW5rF mtN99z3266NGLRbHppYMaLvndfPsHwA+lASIggEAQIyACDQTINNT0CaaFPSe T1E/Sm1NNqbSHpAkIQiCQKaYKeqejSehJ4SfqIyaY1NA0ZHqAAAAASZSiSQl DJhGIMmj1GgAaDQNA0AGmgAAACT1SkhTJMpjUR6jxNpTTR6m1ND1AeoAGgNA AGgAAEKSEJoEaGgI0TEGmUxDIJ6R6jJogeSPI1Mg0DIBUSIghGgTE0CYmIVP TT0T1MJ6iaAeofpPU1HtUPSP1CAeo93VEI+iyD0oVIosf3YsqTaoIaJYiIgk ISGJQEgU2kMklWGW2JGJSCWgyxIGEIDEkAqKe5UFyRFdj8wa/0H+5wENUNqC OFkOZCqLKhiWpJWNrGUmpNLFm0AESUIyEAhMSUqsSihKwyDMH+EoYsRIQRvA mUtWaZalqlTVk0ytpYCIUKhAFSIGGBlCq0iyhkEHCRP7+42z0EG/2Bv93+v6 1/p79uz/4PMkTlwbMgGUbRzYzyOkmJDbBMyHCbXsP8Uf6Mt+zfw+P7/9db5X /8qWdRnP+2v02P9TTE/+DDTn/65Y6cYBh+H/5y896tMePZ2T+XB/7+eMNa2n DH5K0R/Z/jPb/szfE4IZT++Z84WcncahtbOa7Z/9/Dfhx4kI1yKnsrpJD8P6 8J9VkiJz4sEmUBqocUkNKQ/wZxqSNLBDSkS+7JEnpoa9vl12VWgRClDZzo9d tj1/LjZR5mczQucfElre63ZF9g4L5SHn/9pR5+n/rDs6cE2hbPSU/YOeeXPu rmhUC3/ODYVOVYKCbGxFEx3s8JHWwgeFBlktR601+/W9w3nawNs9x9ls7bOP znRv6NA7lSFRJRJbQRgiAwSAe3RnKy42u/Vxc/FunasWt+WfQR2307GPQHE7 /yyrqK7GOETa3xJrLcI4oN9sXdKKzKKTkIxp1YVrM+UGJEzv2L3Lo4WNk+rf AdogVjbqWtbmIpc6a5VzKSKjKmaDIqkRjRSIm/Piu+2u4NFvV8g8PcczZACk EyUoTCE/GU6QnO25Zwb4pvQ2y89hKAjwWfwO1SegxxPE4V9RFWSQc+ljw/8e yDW8nhmfAeAWsYvI0j1a4rbpzENjaYQkoQyiu6BJ0rQoY1CBMTZI26CaTYj2 RNzup/s/97llial9Y9e7x49tsUjwodhE9gdDryKMYGdZNSiIYTubOypv/mcK +58mah9uE/ZAbaf5z/4twjluw1zA54rVQVnJx49/LsuWLzBeIwZShHFhVzuz mXKt8ixBbHfu0ZXQyJ92EiwwvMj04Z8m3Kn+k9ptgZxznLF57+/J+lehCXzi qTMsSSQAclCywsywuPWfVqhftZIYTIKByTiFdGtFGjJqNF2aSwlSVJSBSbJQ Em7u25W1ySk2SgyUgYSpNmaTWSjUZMasnCD37tauVdNucjlzbxtoNQbURWKd 1XjWt4qLURtGDBEMreLm1wiyT47zNBtuQaBVxkTI4CQF2smqJkpSWtMwiEzC IWGbIM1UyUpDc3HdrpEkkg1yBO3IYk2ymmV0m5REa1elzBEVjGiI2xqS1zxF 5JKmVhNVFGxGC2CxatO7t3be/eavAsijQevtkkdsQWOPM7x2515Gyas7P0bh pDiYlZh34wDUlaxcudC5UwaQxGHAvh5xdAPrSamsw+XRzf0U3pYOGMhjFY5s xTTYvHfyUh3rsE49Y6lVRDKfcybSHiBpcmNyKInwY9jfjSTzz2FQaBs5INNr T7my1YCqU3RGCjSQplyAk4nbnSYDkF10Ac8nLtZpLLdPFryS2IjmupJZq2u6 5ksKzSYtSVs1DSaArNpSNS67e+r2vqoT5qGN+CubshsbeK+Y9Nf9KBFYRvZd oU2MY9HXg4IOUv3ClL+B+T3Rhbdn39x7v8s8x/GApvz+IjsdFpDvIT/Fb3lR OYfGB2g3gEChoo2wHxAovPQWvoKer0eutvh6H5fD4VMveOFBekUz35c6eRAX iZ7F8/oqm+UwS0mVEtVjgzL7PW+Xt0FXEub9KxmJG0WIKckyV6BKnn7PL1+l 7Tvqq5ImdkavvkohaGPG9LlOxxLbbbY+vGsmladkDawZvSxiBf1lfrNxNjdD FbDbDWEE8FEv5Ry5dCGxJRYWQti/dKoIxtB/5mUUvurw3r+zi/8oNufNmG4L Y0uVqcYGadK27Hael6MijM61yvCp9KqlHZtqefr9WHdtkd9jWSdql5pD3e/f wKVpTUzPflg+ZaDeFjI5cam0qnFzl6bF9OF/petlqgEDrskq4bs6t2sOvLXe cUNtlX3fKga11Y1ZeqtE3RXKpVVUqITzfv7R8WC2r3xptRM9paKPb21vcYzJ nGAk90CzjZW68HeJK5JdfA/vAqG4M7UAp9lC01fhvU+8sRwrZbvCN+4g44U3 Y8y1OVClUmkKQClaEA5ki+3NGiBIQ+G1pP0DqIIOcE5HBjIm3CGMmwDgJIDs N+WHdv1nzRtFjfWEsTDCb+b3ZcTw22mj3RM7t6qxNnHtOi4dnMzZjQujnrz1 ZkavxiG6Rl2bl422+/3d2DQpuSEStIUgRAGde2NCtIsMDRQquYddOeIe/ril AUC0CxKqUKBhIYQTRIEShZn6I1UUt689H3c+Rz9/L/eI7nh4HMB97lRM5uH7 H8yF5vljvojVm6keh9WuL6bd1OD6xTn0+q3m39qDh6qi/7tJCAD+IhnZBiwS kEED/l/qgo9X10xXCquKEtExvbjsY368ciCKJkSgJ3YwiGdp/hoEcUYkTYWQ /CTQRVbm2GJy7Zx/XQ8NyEeOx2A+h8HUWSJGsMCiui7eOLZ2tUnhgBDAtCkl +Xp/fpNkC+eCP95yzmSQu5g0hV4na18l60qaubqijb1gFwRhJgGERhnCAORo SRJJKYaTSVKt3OqAcuQdOhh7Df6YrkrA8dmIzBEDOkMSWF+ewndKRHg21JVK MlZGINCQhuA9VyJs5F2NGYkdJ58JKk3OJ+uI+NEgb3E5yR6l77I2kNQCj6ID U9Nki5CaHFgVQFzYJgDwdrcd3Y3MDCjj8Y4xAJy4ASEIhPkG4E7EYhWRLJCl GiYSEzAM7p0SJAUvf428nUkmzNqLTLOukuYLA8JYRIkCwOAyYmkxZta3NaIu 2u02uytEdakks15IlLkpUgl07rtcaZUNIaASMMIIIJQKJdndiTbpSSaFLE81 JtbOGpjYRpUAFxsb4rpHsI5BIMMajHMFQcQkYCpETFd1g8EUUlFezKeh/LUf 6363Ed+o4YpD637GWmHReH5faf5i+0Z8SmvU/rP9CoFitftSEesPwS84lsfm YG/gNsa/A9YH2/60Qr3Oz7mj5Pnpsq1an9XifKnP4DeY9iS7pVUkN6ptbtKz 23dSw0pQ1K9W2+jywkYi/N2uwkzQC0WlYr+/+hezr2vdJ+UjvIbf5MhulpkU wFv2MJSY/V1/OZKeaRtfYyWiqCVayVXxWZZXLgoLqGSKwvo+bP7gOZ8IhJ+9 nh/XB7K/74H1DTAr7LjP1mA/ficDb3505Lfp6BdCPC+8e3oZ+rg15u2foknn TC7LGP+5tirqybNH/XHGZ/tfQ8PDLnIzI+7/P27VHO3DIrsmlMdxYmxVbgNS Su79nwovU7DGRB8GkZMGxW/gPKmyyT22EemoeqwHFkdO7Xy2zpI/IYiAImI7 MJMEiUpF6v9DgDgzMBsfzOCG+iDgNK5aMcQSynMpE0UTVJZYbKhkhABSfOV5 PJwU2jdkxICQlN37fsPqm30+3PC6e/N6XDdq2VGtMTvSqSkzUWxbXqmTayap S+dhjtvlj6dtmIImIYnw8ORoqYiXnUsyOBKjEKbwsmA4Ykc5TRKhBD4Qp6YN 1k1AmxAppOuO17ZXZlYkCAk7WUOCVdEwzphNELpgdNogQiNRzj83ss3IomU6 zRSiDwlGhsDi0QJkLWiTQTEGFEM2/2nbmg5EjwMgnBKYEIjgEAdGBTKTriuQ FCG8BNSA7gMqkF0vDdMEaFNSIPJkHipKVB4B3MBKUN5TCaFdiFNiWCENMAm0 ihjJL/o4bRQU7koRIGw1KFJvYQHEUJhMQpkq5J8oP831Hy7zc8bi6EGP1D0c /tfw5o6NbLuSA2m24MjThAgnBhQtO6HbI2Dz6/arbxuZ/V5y+fwzXXTkD8LK rHm9CtG6Om4gjg36lPApv2IfsPhEtL0+qT+KFiVljHgyBuVMkjbNl1W5QrFq 2kgwuQo0fk2T3mLGloiKFlJkWFCIQtS9v2nHVSBiHnelfMFWuoIzUyNtNtEo SCQA/RC+3+HqkiR3njkOS3m8Ci5le4PFDX5Y/leebneUFD1xjpVEVVRXByNR rVFg2URVREXB1PYHj5AcGDb04xlKEG2vB7X3r71FszWyEIIhBppy1CYyYhly qurqFa5a8nYbskQR2aNsVQx64fPpnv4by1N3hy7eZUFT3IyJ23Q9XCTFPlrN H2akvbJAe8xxteZ9OyDDv4SjIFVovecMHSjfo9JUjCOschnv9X/tl0O8xwSI ELmMRPdX5i3Leu4fV9sAaGE0Qdt+BpQRAZU3ZY+ZbhjY2YtQOI6vO3kiMIlC aSllLNYlkkkkUPp+5Xve94upfd6dx5e61PeXx9p7XvAEPXv3gdXzz7Hoe+qq qqqq20RERHDu47uPK8+Pjr6Pf3MoAAFKeXqreAsE0l1VgzAMMpjLJxLxyix8 fm/GeHfyOZ1eL2estyxo5dvb/1f+Fy3wI6C85vif/6ERxp5YdjwtG5kRHqYr d1Ku/dvyO7u1wp3dxrppZ7U11xM84ztEbsimI/l7zvX8E/DW1vy5X44sgRsg SNth5eW8IkQf7Hp+wukiv1beqiAXwL+O1fqNeLwX0/e6r9SmWYWZRQUlJrZZ blNMQx/lBBnNyQUQzAEW2xMGJFSKaDGzSSZGRTJpZZSokMaMsyZpomSGK+L1 540whZIJDya6ba/39trdSVlJJSyWpSSyVlKVLJZKvPXnjE5zLMmaaJkhjZZZ SokMV9Hq3q3noY2aSTIyKZNBZSSKkUrxrUcN+7WN/P+Xq1XrEARgzMxMQySw SDAxgwzZoIiaz2Ew/Lr0Pnsh7opNjYzXbmZiVhWYrvF4IgciiIkYiBEQUkpS S703pigM67lfr92sdsgyNB+oGdfyHNWGk0myzTIWVDNYfhu/BPX6qFWiValV VWqr8XnCOiRoxVGGNvPASmWKkrDTVuQ1aQWghHkUkmkFymilBV4+XnjS8fR3 Po7eX4feXj4IqVWatZzpmYhvnbneHndQudMqrUq1LVAUq1REREQSJKqiq/XZ TC5fe8VV3fWTn1PQPt7xUZrcmO5RX34qr5ilqUVLfDyXacoeHvhcbDtbzy+e xoDW+POcgYCTNqqqBg5pmeIjWaaaykXVtttxKMRpoJUCoGYxjMMMNCB3KUbo REuImZ8Q8/ywPvn2fRRI0+3cuC8wUq+4j1hyniYcCkv3EkdW8BcRYQIN+zKo kiiSJJiUNd2B4degeeYe3umSZJYwGlY9FEY2KvXMu2Mb9J7SV7vrL/q97Y95 sAkbQYCD37G9mKXv1T5ERx+z14Xw8fPTRBt2+mfoBpKoIGgYgMIJ7qbFV2k2 7kP+W/qeMGUCg+Zfx+yJPyD18F/UQQOT8sbHBjn7/+uP5aW+r1//RCyaVQ1J 7+80XafTJTqRGnuQHRJjYgDBiSSFDSF/GpcPnrzDCh3GDBMyM6HmPKuTRaGw +oPYl7qlfoBqDEbz+CE0kdf7OhVdafrUc3I+6P3pr/5FC8U1QVkvTv/aFAwX pDJM/OB4ETTl8Cl9wt/wQnjVcGDGJoG2l/2yiOP+vzMmtJc1+EQCsIlt9Hq0 S8swPHqeoVCaHj+6AzO876HZ5kfvYf4slSqqs0JQfSqVVfqo1uDpfs2Wpdtv mRimQHzmfiCwVOV0EPxSPaTO/kXnmvP/FZfyBe08/439/r/buqh/LPeQIwcO CpzlSgQmSi36Wra9hq8kapltpmqZrVL12vJIEzbW8WxaLNiFqB4+Y8hbE0OA gk6gzbBR/Vm29f1hgB0h/T8DBu9/5vt2Q8LxfnrMvo29KP80MRTEJsQkJsR5 HbB9YLgH9X2Qd/n9EmZQVl57eH7tMD4w8j44BwogvZKrkjJO/yxEVNiog8rD w5+0leMOGQM4nSuixUoQSmxvd/68PBTxwQOdftMHncxkGz6Tg2k0qUG0YEgF GlvAxUzMFTMagkJtIKpwKlmUhKhggIwDfn+/tHY7p0SQJijyhXUAB0qadp0z JHGMIOnsmmpIlVJIbxhEePhrR/sgIqRiVA1AJ0dYm0ifxAJmCF3wBLVbj8en tGhCFhoSCzcOvdKgEbOUjSpA1YjLG+NyJPHeA9Ty7NKhzhXdu1DNkg0AmxAR dJVNOnMQYhLCwKSFDvPI40IPcPfgeSwimjEqpG+noeE2bh5ZETpXhbKqUUeu FOkgpMjQIUpSckOTy0KHEBTEgpRRUQgJxISSUcEhwPDxpEOJFQ4JaOIDw/2b aTkyvEA9WGh0EuqkFwkMaAAP4f29x2/QemG2w8hkyRDjt+UzM0pIT+aaSEsG Q/t/M3997kv7y5UYWdJU1/v9/l5/ZvDGN4e9I/8sQgjBtmoy0xWP0i+o8luv z4Uk9YfTGYUNu/KGH0XmVB8ySSDG4Pkvz8eGjbpwQWgTB/oKXiZnMD99q9Ek uhEuUIWDw/hFHW/4w8Svv9C2+itxkps55aHys/lnc/T9eT0w/A76sWvmB8dJ yMeVjDKeGstGRhkV8/j7dNa5Zd6r5hS/4nOcKR/V29/npW2WB2+j0CBqFNRQ qvEI9rGShvCDp5nUjzT4SegpRPAA9b4+HsEtv+f2azsJ1zaT/rgEcaVSQNiQ HCM/+BrErpw4bz+gvhHZzO+/GCgxgxxX0zgNMUhQkhD168fjfjxB9+s+dz+s 9X0l2qVrNbutaYYOLcka/18x/GD5joW+c5d8L3vti/z+3Hv2IhQUy00yvZT8 RzeN2k33Yw/1vdP7RRFsJMrVU7Q6tg/de07zUNdKT+UUKKuenTinwOFOipW/ PzxmaKhqSOb4N9P6Pfa99zyVPTOqlZOZT8P1YGGZj+M4YSkMSzrdzW0yS6tl VpsDFTAnpOzy2jARzfEssNaCXShTdjcndk6GlajYsRKZZAp3CgAD9bQY0pks W4Le95Z66cZw6/q/B9Xb6Y14IzdcYKM3NGfKOGFypQG1ljm85edywZCaZjnJ H69JRZXq4sUScqE2mqt98rPOpJUuczhLIIIFMLIyOqXqoG8qzG5y42O3nRBx sf3Fthzh0I6semPG6DAaGwDDUh0BpcAsbFEy6/sNKgAcEqIFKs1KgJNEKKNB /pOpja7NDrWpl7ewPfdfhyc6Y8fCi2Eq6TQkKtGGLY23WWPzLbCZ6X3eY0U9 Wc+i9GhIX87+WjXngjlXBRe7Qa+wRF5MASVF5624VF9Q0ALGoCFXWRAFRVM7 GYQRPw2MIGZOI71A1EDhCJLEnp9vntTeZYde2NbzcIwDIkSpVGBB48dlHSqO yikimGBs8ZmxoBPePPKqqqqo5O64/ivtXhnCEc+BTgUv0vWTGYSrAUWX6KgV oGH3FKMaTY1cXuOzcZ9g4s3YV/qFWaOrb9NlXTpOsUHa8I9yvbv2PN2P4fqu LxGDLMiQiGk0suGXfk7Hb4hBAQQoCpWQ0rX+KsIxYDsO5KWJ+oVEqE1WI1OZ uizwPLQuhJAan9SuCC7ep4DX5e5AV3Pq6fcKJbK8GErFPu/6MntI/tx9zJ4f HRpZs4ieLDyHq93zQRpVc0rJtnS0ERD+cZN4TKjDeOWgB3KHKQiIQrNsAjWS NgLmnYnw4wBa/xMjEYhnssZTRWmF0E129SiyetQOk1zD7hl9/gvIqSa898q7 dvUEm0CTEwn5lFp/ddFEHUZU1VhytYDZNSqDRn1PguFdlUgsEp+G+mTK2iCn VbimAi207NgHHzXEkXDkVuEtYPdn57WBVGs58pyBIUfE6Ii2j44xyE7hswxI tQh5pKXxMypiVZVhtxMeKZkIXNiUXWwY+WZWv8iwiQbBVdun71SRpLaeZyNj YYSNmxrTD3IkiAaVBhfm/N+f379r1+r9/VW0KMV4uREmmabQ00I+EIh4F6kI 7aoKi2zjXulUTe/kQGOdMX0mqZh15xpDSHYMg5XbDwA1MdSxERgMg44ozses NtAsOpmVyZ3D95Lj+Of/KiVD8KQg7WFsYx6bbHm73D7uHmp4vn64o10ZOV7B RJnDvbPVKPX5cVIavwwMTNU28PGa1lXpTZ0nfSpYHeiX9ejNiV822F8uqfX3 THTznCqc3Od4Oatfmz8u5sGmMG9uDetHvDWTS+zUdMe/ijwO3rxHc6dPO/M7 2eqryMvnvnW9cdGz0sgDpCLEqtMDSamoHtbYepGJ1aUwKIOrkiX76L4VS9jD UuSKnuD4nSlRXNGNingqb912BTezk7WodaCDcdO9vhmdXlozALmSk2v2U7ap H6RegZsjqNMggHbPRm49UMsM4VbNK3oU4UOFheFK40JKQWdWPzYxbdFUi3L+ 25UGUZBunipDWbjsx/9oK4e8mtx30NuzrF6F53LCrbLDpuwphKNC0RDvBhFZ 4e23PhDr6S1Mv0WAyYCp/APkhfqyOnMzm8fpCjW3z/y3nJ1Zbdur5fAin5B9 H79/7t4WXZ5+RD6UuLvdeOP8DQK3OGTMyV7CpMx9XdYnN9Jxp14RkAG7OtcW xWVy9oePj0xLR5J+x5HTKHZmR8KFVKY/9E+RCHr1DejquM4uQ1bwy27uVUVU aZZL+Hl/b16s4i8/oXVjPNr0d9de4QnJqpk1ZFCkhkfZzMqO1sZl+3I6XN6Y qUmTDN8n30zPx4HpJmjg4dY07Lk1vFVHYfsIN5rtH0/WDXEPt8aff9vd2OL/ UH3fmlC/N9lvVWs0uSwiEENGaYTa0ovscabo98u2Njtc5yjmf37np9+7rvoq mvuF0U9NMMKib468z6n9fVc+uwuMHtBlUysIdSbyKlBXAG/2Mbqvyo40qLii DUqMq6kQctFVipHqZJYrVhpkHnGs7kSYGUweBRVas/uxtNxo9nviePxO84d/ u+SB/VpzyOFjXmfbjmfuZD7fwe7Mw1xzjH6PRdCVw2O+/5DY3AYNs+VgAvTu bawpvhiS7bUFK3nao0rObuXFg6skbD6oCUuqytCX3DCMIDBim3ldapzGpSlM g8vvhI9eKWe/LCEwNHFwpGVAVvqZJNIE4+Wo14FjOoiy24/+xhFQ9fyvtMOY IYP9cCOYTH67x9r1nh3w18IVfgLzOOT7SIXhLyKMrYui+LGNNGEHAv+e/96Y jwrMxpddbhtkqjZSpHb8XcOEHjrcCCZDIOMKNY1nGitLG861umYpVJktREhp edIA9e05GaAejbRr02ahE24Tu+eNB+cOZlOL+MMiBuGbOe3lJskAQo9vlbsH z9FuNXEEFDp1RdZs60Wx3TRcMq6UveL4GLJ0CIwdWQV74ydc7xySwuo38c60 1y7KSpN6SshtVreSVvzMArW3B74zl2Zw33EjHS7DFqM2Gj1MJmW87To19Fo0 r6gO9AHZUiOcAGzRKgYhwJJ+0hFGgPsg656afcF7ijUGfHywwupgwYyI58n5 QjgMwvw5kBx3Wk1hRTDxpSm0zGPQ2y2qZ3LRYcrAPKDV1efBxJjjLY33/Xl7 nnzLb8TU5HfGuF+e/Gfitm0xMZrAzB9yUVQOfRiznHEuXWt+X4oOg6zhy0ny pjZOpRFCKLSN9Cxnzrrhkz99u4MYzru+nPUp36xhFIqevD9HfnyyyOWWxByl XG9Suro8FDF+JJYs/3GmyRXngcMqTTTzbutwsaNtg2DV1Alc2msG6fo/Gbyb 8QKZ8l+eunHhSETKMDOuvG5cyS3AWKbzamKv4nB4YvdlOpGFJgKoS9zIPQWX 7OEG6MN7VwphtS//H5e70b6itEXPCnWJogrTj0QCpdDPu7VQl9261E/RF9sh YMZNPRI9NI/9EyK0blRDfv0oq6WbfSex0MvRxVzvcVahX2FP7HVw4x+HTf+L yVd+/ePjTK7dFEN8b0r7Lf2NSznEFFphE613bRTg9aQHRfGNrxZuYhvPdSuH BNFnWIzw7qPuiGOIhuIzY3jaL3DapHtay7OXDAwWGY70yJxt+z9sVK8oL3q9 HpSrBTkFbyXU2od/yf0/H8YiKlqqqqVaqqqqqlVVVbbbcRHNGoL4GWnqezby 3FDy7D5rW5FO/ArCSilCkhy+p8raa5dMFjkNQxjRvrea4fGZu4gzi2W+TLe6 E/HV4GY/vn65Pw12lxBD3d5SVI4x3203TabUirKs2kltmjVeyVXDhEYGLj49 Q+KEIkSEvkzEQ0ki3P28+n3SQO2nqp5K86nat/2xMQhYMS6D3vpMOsbET+mc r4z0wMnpSr3DotRjOwmVxLi/N9g/va4r7vzlimvq7N1dDiwKMoRCjxrczDQh seGEy0AlBH9Bvlr2+rPKPOrIgwvLkD3fa8Ozrum2H0DWITlalD1DijhMZU+i Dwrj9PVT5n064ZUhRDeZA4MqQmdrqTCLVpiyg4cOFwMbVppaOkHXRuScpymG frvn6qGTSLsMGExhTLScCtretfoGsd2eM7YeHT5p42MfnGkABQ4kJIR2FYDN MTD4tbSizuFv5/Vk6lgGaYuWhr0KWj2Rl1efn5yT1HQdQYUaB437dOUnSL2a I/wrC1pojeoMdYC+b7IJJE8bQfgk6f1FpY/vrG/C+N4LMPnnb4ufrptjfOYI GVrXfQLZl9RmrrfE+6svsdqljMbx88b7Lr20VDJkYEQxvIN1cC2tT0UwZVjG fTxdKdYg4YUjfgrQoGTV24vSUyOfJLBTlaX9L3z30zZ1tlE+3MMM3njuy7fZ H86F1rlrxvW0ZT7NadmjivlUGK8HmoS5Y3yrGYalD3tXHtoYmGBUy4gYUKYO J373mZG2Y++BxEuWIifse2XZQoqNBYIgFDPmum22xsT/f+wrNF6OygsBrf7T r0otsYh14VrThuggahjN8aTm7ZQjpNgkv0vRbfGLhj2knSh3c4X5xiyghWWm hbK+22Bgz/x3xd+FeTG75+081+d4hoyffH+DOA74LwyGwbBsGzsKar3Gfm8R wBTr1VPGoL7a2KlagqUn2UQqV6V6lrIMaQr3IUc48phWHkwfjmqPw69t8Vl2 cWm3nYtE/gY770I8LGjA7fLPXINFzmS4NYGxbeVS7jTtZ8xWzCbNNSacoQxb byWSmmi2RkdOdwWY+DbDciPjtSi5dOXTj9UFxl3hxy7V4DDUwWy7zDtpakLp +ECkasbrSvHvUIK200KIIURX+PVILTV9QXpla/D63dz7UokfE8n2lqeiQlmp RXcuJMuw/TFy+UYeetVI2S4adBpVsgfwdi1TPjTsy8HD9KXIT8mpYT+Mz42r o8F2VGOJQjPFY18h3OQsGwP1s0xevbme/v7VluXCEcZUPwtSsJMKmmxtqxlt wINJDKn1JdFwKdV7YQpjhc2VY7u1YdqfoHAgs/U7vWfXOtE6eNHTjw3kiLKl XSpkT4QrHG2Z1F1e+HRktS+640MY/6IjvV5Rem02YYDx5v2K0fZ8Ncn+qNtt tsnuoyYNt03KhaSxFJvfdrWbo+v38+7Wp38Ne3Ts5JUdzkVdJ4o3b8b8Kl/I GtCb2MZ72as674GLF2acmjqdIua0nK7RpApud4t3Xk6VDf6YS+HDUn/E6m/f 0uUzv93ARTXGc57OWHFzmsdR/Y4ZSuSpEhddsoM2HjYE2CbEWV6zUI7qxn23 CeN+60d0WwMSCo+FcdwSrhpSu08cfMvY02n7+jY2N7qmI2xn25wUxrtmUq1u nhaZ/fcM2/nGEA01Yq8zVwko2EMv8bklXpZ8/TjvJyOXrD2jIJ6jeK7xPBwn iopdRXg5PPfZ2DbwTo0OOrvHbWNaERlJRSak0BwQug2REyO8IgiIN4a/RTnK vsWz4QWx6tIOZXXEQOxnxhEUBf04L6EIc+nye/Kfs3gYk4gmXIcPJVH0ePdW +3jyF8PAU+ft/gvzXt3K2jU4wZtbqTtHxpDD58L9QAD6OFOKDlJuvBRnmoHo 3Lqzhj79QLiIOJ5abHaFw3dSqAKhNmfShQsCb6VBhFYBRA3WUWm5OEaWndOu pNnsnjyXtycHYyIGfFnNXqmxJFTomPr9HCtVY/Djly6NsrYaw3kyYot0LkMh kDTGdlq4kde3ookZ7Lkjk6zw5rcMG9xbS5emzDu81N2q1nkbuuK1rqYxrVGw ektLHVU3br2qZ6wV9VieWGhLKXz4ZLXbe74/EK+oxCgmbWuDqTXSCQhB4MXF prsXb3dsOahUhd5mb+62Py49u/vXJdJ6G5UtjwNcg442MzFCSdzggRGCQjK4 d4NJfNvr3WtL7C/fVtGs34nf7eyvD802wrhSDzbGuY3QyXd903zZtlsUr3G3 GVbdtuGZDphLrWyr5zWd2+N+WmeXxz/OfPjuaXJhixLrnwJQUbfHX3Oxc78i +SdgflUmrBqyEslefsxE2pxSxZxDOwrLDXEnDjHAx6elzRlYL+ipOCNykkvi rzGeZXpV68N+lVyfXMxFIkVIMpzi70KFmWN+B9xUoYWWGj0K0/L5KiTTWRj2 aoRf5FKxo4y809/oKY/vOnSxR/ll3G0PfGWokPtElESVykC26lU25Qw5tshL hI3Niu3bXqlNhrGKNBEFcsj4Xu8SIFNBsPO/YVtlGbJa2XJ5lnTwaKoRiMao k01GuCFIYrPL+L7hjtJPcG3Koa/dbkivHjZLKmXn0cZ80sNA0D807tHB9Pq3 CDGsJYdnVzI2htVxlEvGCPO32B2BVWQPc8M+rx4Zvl6MZrVXy/GxYNzzr3T8 3ZlXI7Q58z+Xi3xEvDDobtpnfC4RQmxrLnakdIqzrg4np+geGUAlL46Z8sYM 8FtggFN+Xv5ePLfV6+vYsFREU6k21lUVDlzbfQM9yFVkj0gUxhLJQ7Pr+sgh q9XFhzC/RSg2Ojha79MRfMXCecJYHz4SYh3NR7wfHfuCVdhNjhkipIFR/lgU nkqxtcJWIUGyncW3U0tTnZ0zeFIJ7tNCtzKDJmmOdassWLDHQfy10icWpdtM zEyo8pxuBTCa2ywi2OGtCRk5vNu4jm8HXM9eetJnd7Jr1/P3yxnXYdnXup4O EKO5RuZQWbk11h8nMm0dndQ+7vNFv0+7JsJjTe1RXz9Yb7UC7DczQ3vG2Ufq w2wx44k1djdSg19iShfLRzOvMPENu61fn65LOjF6o8dmVHlpwfhB+rk1pjnm uznT+l87V0Tjz0enhaNTI7vM55FqrKagXxYoeIZcsSabihTCMeV88sicsZ7Y ReyFQ1Q1kt1hPD+L8+Yi6ykV1vr29eWlZUi9nxxrmCod+a9U4vKmmGeIy8bh FvXCdSYRhVK++fNECokxF2vF+rSP3W5THc4wdof9vZ5pGU4mtQoYKDyBgOuO AZ25SUjBY0N/DSYypSs5d+XCwUaxazajCDBw1D2O826Itb0wZGkD32yxqZa/ nOed3kJ+kF8avU956u/6IeMcZf6fF4rr9dJruu7EnB3LwBi9iK+fkRQ77HZl BvnK5GH6bZ4BcSS1aRaGte/38PocktkjTvXZrjyY9Pfjz0O7bKwNkUxpGSVQ fztYbWUcmQDS0w1kpiVcImtJKJ8YArE7XtCBAj6sNttQASPoaTYkINLsEMGD BiXOSdTvIW9FoZpxpuov3b5tyKskniQqI4I3rpJGSErpJ7uNd8ktYEQgLmNZ L7ihKWOAQIiuOWM3fb7H6M/t7b3vCDVrLdXXYZ7JfStqbsd8NFIhHF+bLkNv hlr6GTXt16bCUPPl/hlv3G+u6/IiPPk33CwVEzTmEwZQYYuLj4ZMYHPuhwdC jHDl8+LOMPH1N0vQ1trw0GHKBu1IXOpptU3UxuilqbjamRGtDtyxOjIoRhEF HgYrigm4qeAkgMlplpnJlfrTK6eiUAxNs3wZe7harq9wHvjjplb7DP48DJ2f B1tpXIzVeFyNHW23tFha9zNqGPq/S1J229uHOlKUtaamirlHCtNTeDbaaXIx MHKWViu3QIxrnxx1RkwMkHgV2fjBG+3SLNGHmyJu9aoHHE4yftv86pW4UpWt YlKZeF7n6xttmF7XvhWta8d9+vhP2c62eJWYBGPIgm0BPIrD2YEvWBY2hcj3 FgpvsYlPe649jq5QrZdeJpfF+wdS19N4XSnHeS9YAu2y8DsMwdsZPuoJi9ht fqaliwDR6f5TLulrvGrvt160OzR4JZe3HbFhwOXXoar6+4TIOKDmlqz7MT5u 76On8fWGH9T9vsP1DlsacxBFJdClKFFEdlSqp8IfCPtYoXIbT8kv5Ad/oEUW 8/T27u3/bfdIRCVgDu5pIl/JrfNtt5eX/T72/cZo2Pv6f9Pzf27mxAesjsjn Kp3UtUlHkSbqVXzXNik1Rsmo2UrLW/XIQj+3umbTTKLaVfuH8r8OhP+Eptdh IMSRIIu6BoHBcqFKJC3r/iJ3cIHebXlXat2R1RABNEohJoMUNBI7kQDEB+Xq Yvb6U33P5/s/avj9WWKeGAfk/x7wVKoSA91iRHppIRPfXqlIIe2sW0QJ5kGU SKChkgH9fXpRoVX9ZGaq2s0p0gIgD/GQR/jzCkRf6j9+O/aWAknDiKsSrEr/ qYdX0ZTnYQAoGJIKGFpSEli0NiR+uSLPjTvuf0qf7Xhbb2AA/hIC+EoNIgKe UKJQKinKFQOW8YiKgRAqkRBIADGJsBtJAHtR/Wcttp/N6O/91+tK/ZH7K+wz 0D6jC8eahD7v6iNbnt2anw/pFa4YlBYR8ENtuPxtNaWZ44Y/0wUdu2H+ZCPj yHdPvrMqiCYiCoqtKm2Ih10x74zww3jQb8rZDthNiiaOOXRDEa1ZSAmoIt17 uMZ/htBp5Ef0/fiXd2TqpA+iGIEpB/f7PWkceSgwINB+NCxknh0JtWBOfWSf g4llnHCx7N80I75YsTzGV6oL/3TOLUGsCxQTH+TFm3w5nfymSCjsV353XHAd UG5j/nIoLVhJLZo/y0lyIFgan5LlBv9jjn3Gm0HV8RTB1HVhMw7C7PE/kLip N1f6enUrGRobv6euNtLKcez+z1bTZSgwZoL7wYMOYr1udGZwZJ5I3NW6ckeg FoarItngTk3oLlJ3kgFbvQWqYmxNg2MbawgIDJgEDGhWDhQ+vt+pf8D6DbNW vHriinaB/+5HrTy6HFelnY0xnf15BEB/k2e2i6nY+Aebba2Z6SZxPWNltOay jx/PTXj6ZM86/n+fgjgX5/qUJwvR5ebRH5FF6DCDpZNkUO30tsOuvhx59KeA mvFZw32FLRu3VMGePqOHmOfbvOGWNXHrNDHeqHlYpJXj3e8pVezeHW6bSU3H W6bw63ifv+3ftf7fT5F5YWTRRjyRtYMlEyTIuWliWJ1lJsYPknLqpByOkRSq CVc46dZNMycvmXmGXhKexhe9yrmsrJYh6m8l7mPJJkN6mOqmnb1IYcW65Fum 4OAPlyrmsrJdGk5dzT2+SHDJTqsq3kk3DWsrMmiOR5JxoIzmtm74Zd1eny5p m3mSuItVqgxUxtsd3BsDB8kmnJqPcKdJa3+sv6jIOnc3JWu87sw1VFNlXdlh IS71Sqrhp1MaJi0RRFeY75d+pH17+HHe0qfh748g27qGhl5eOSToy+nlBTvN bHhnNTCytaG963mcyZNN8M5pw65zd5SnLuN3hboZl3kVXube8byjToqSR4ST FVjZT0yscTMqoymOsrebwLw1SyEdlRSmSiU6pRyqVdTfJjrTISocba4Mbdxj nKp54FVRd1FHqu665X1euEjNx3FURxSQp0m8kIxlVSNDcNUZTxfHl/0LTS+R jpl2VpOv8CdpHF9jVJEmTISRNHFqs00zpSKUqrGGn4x/7vFtlXlnEX635Hfs Xvt9YTLbWbXiJnCd5MTERERHDcSX5Zk3d1D4O1XEtcADz/9tTTBLVNFdeLpy 4TtROGztzOh167abB5YSTlRxfCEAdzApQ/wb6ZHSwabDhIVPNShercECj7fb 87z6y/Y9Nxw0U589wBDZVd0Ism43JPD/u7lE3Ygzy6g9M+aJb8+uPzbGbsi7 3Ip+EK8q6QxxQ+7zjB1v4BK2VNIg0yxtjEVijcHChw3158GxjHhjw0zlfCHv LTKd9P6zkmXFGA258a9rN13vTsd76e7yqWcS+COcGXDhrms22QArM01wkAWV I0wo3Lf06xldOuOVbmm7cr25TBBquShe7cQhfn+bf4B754HwMNj/EqSmEkig xjOONSvwPBBn4u3b2Pj9Z8Gdye585WnZzRBtgfM9kFxrRyI5UEs1nz5RgfqO pvuHVXKfVV9Wfs+h/c2vl17ojXXgb8avIQLBhTFCHql7arLf5Z9vh6Cb7EmY rFSSCFrUSJaMZ9RlnOmzTsrjj653esbb0x7oChjbLHOELHjt2VB1equ3GaNx Otjl2+SGsCpyQNRwCMLNtQjfcMw0q1VauVI+ZBzmbB4sTTjc3U27ZqLo4cC+ EDVvWYYF48sZw0dFQ3JHDoYo9u2ghUJVbIFceW+a1k5hLc5lUgGxskVg7DlL cHSN3Udwhdw588RcLuTyoQVEET4Xq/bzHHihQu8Ll+183LfUYy+BZWZRGL2C ZBptsGxNigLsnfcgPpmsLCyxZjfRQHQDDs30Pjwgto+ERwWI48wP2wTRZQ9k EQypEgkRAr/lE2QXbp+J4L8VnT4wRBHosHOJMKff1j73fhW+Hnfm7aZovfBv w6hyBhS+eu4pqB4NJv2fRTBrc1hsXWJ/zGV4+OixFHBjMZQ3lOgspltof1hY P6zW7F9XDgysueWmzyOhDYJd0m51tt4VYwTKItH7A4db1p6KoGYMlXRCFWbN EbSlHGNjsuTLKaNMIY4aen4kiDCxcalmUlk2/Z2lr418A5L0MbItUGlZmrEB 0YrXvIl2B6ZFU85YtfGEWAsqsbbRK7GIR7Yi8MFmsgxeGhFngPEFw8HZyInl G/B6TuMPNoqsnp0YnoFLC5QIYUA4wg9SBwZOfTw12t7Padw9ry8AJJXJg1/L 1ffS9bBcOQSCqiRixCwckgSkqirG7pVPc5Ip0OXsV052a1rWinXHSZpklTal cGjhDkbUcm9/F6e93m/5fZmtt/DkHH69fYe3b4/nfWTElJVFDSUxNKZpTBAB kikxkyYihqqpKkkjXLr8+m34h6fLjwLNeO0NqvudvuygiI8hfVjy+7bcec+P Z05bp1twkCW2eEw+Xb9n128ar2FRjXMYxUFW4jyaAlnT+LL4Hw0fapvw4/mk ekQljIp+ff5+31VKvkwDSsCkbGMa4/CA5sbQd7QjhbK9LQiAIIC2JNOMujQC rozfPf0/fp9touqkZvf8euW7jTbZseh0OntscbYzQ1SuVdKUuRmpxycIi3nn XMG3A3A2GcZOd3JJIktDVK5pGVJURdUpY2EEGK5WfSY8m+Ju8VVxUbb/ZrfW ud559/cGPibB9exVtVJStVOYiqVBRQXG3O2V1TidJhQnKZULS0e/4Myy/Xek 03putI5t6Yia4yTpxawkMxMRqh0SkdrPKuaI99boF/c0OODHFIOYxHTG0r5G xN9153vYnlU3xjjWtWjpVpaXWtBqrbXwr0q5XDctc5pmS142gqoGYiqVBqqc DUlNqiowE4awKLpUJ2nZilPrzzvxD6TM4vyqUwAp0m6FTJwFUlJKgJUBb0kB NsagS7vvhWaf3ioqtTD5db8ZGKahtqNQNI4MrZwRSsnIzgqd68GLASEu08PO 3ICtXh58/nzV/n4zzy2lFGFikI7IgR0iGw4MR2tL2wbRTFjFTMYj8GiVI1zN UreMC8IaOVZCxEQ1k+g/n2MOzl5cz0cN67gxaZ74CqWSvuz9ur+jRtfpW7pt wrksxjWIrYXBU0bSWwyYMKGDYm2Nrl2pRMZy7f/Gq7Ur3axIap/yf9eEUsjd /LMiJ++BAS27r/nqE1YO0sZRhJv+fTSv/frw0TmEXcRCRP1JgjH8YiGhHbUj taLMFBDAUKBiVJFVKQVcUgVSIFVB8/2eP6z4/fH6b3we+2gXMyshPefxGCC/ MgXDRgqe+H9VxCC/bz37PfVAKtHCQ4cAHyGB5ZQIBZfXte1rCDjQxX1DNoX1 ESWEhbnmzRmzCzPixCNft2JRCvWuJFsh/N44iXWVsrEDVkhi0CNzliEQw3PR wwDTMwJIH2HJkyvnaSf0pUOZaNDh8XF8KnF5Ldj3H36GRnWf0QRp9Gsec/Pu 4YKK4ONovNL4laiXQFzGdCCBjMgyO9GSDd39uELDersbKOI8/n52raxEREER 9qloYxGk2wywyyvokGvl3dPCxuDw8PYexCqdn7+XPeyoyHxJMHaWkzMG+uMF e/3ml0Prsw8Do4PM3jDFG3LZIxaje1t9x0mHD4MavHE4mjgpwspws9/hwaVV 7nDFKq9m2RdDB75SasTtivCwxZ5eL4tQsKrgmzoGGHR0YqA/E6R0tkaDSoy/ Hvkkraxt92OAqabb7GLwmdiGHZsiwPJywC2mu1tdKj92GPGxtsbY35Mpvclf 44n6GEgNYl1OZWVcWCK9T09QkSW9os3TbJa5qfF1lFPn5199q5gurmmsJplf Fiot4rNLMbrHV/B7Nm9nVFWdAWw6YLhGdTl40jbbQItmhsgzXLNnNQ4UtMcj kaI4tWOtSGoHJQ5QGiow2MA3IRNVPf0fWyEdfsM2M8LgrZhYyDgyD+zXrfmi neo3KmTDyw1WDbbeeta1HHm98V2zWc2MZovNXKlbyiuXu9b0czHmDe9ucZDh NN63DO42srRhq447b426Dho6ex7Isg5QWQgxjMIcrfKp3fISSTpqDc63uSt6 b9h9PZdVFUIzDKVVweH0eeyuXt3TungUFHA6DZLAYcAgGg24M4xmcOgDLXiF vGHRsg0mMqJRrhUZQ4EUUQwY0msBi8JHpDArDvz3T0MANUfE+scfHhXgXIg3 gQGreQxmctA9JBgyYBdL4niLjzK3F7pchQsMjgTEz0dmJ6Cop3wqyckoiHcg 1plNuUFvw33o2112QYNZo8KJczbIdwN78Le9WMiEZ4Dg6TBwiY1FElt+RreG heDqYA4mo4TgxHS3zRfeiSjdmgxl9HchKL2qvMclM2rLG6KNjDfb7cRlJK+Q V6W5aN2MOOViLzbejMsMwqJqk6uYmQTjruC7jt1ycEpFEgWkS0Urwh87g+B4 H2+xukhcEdvRh1gBwO3OmzohEhtOg0dlHVhiSVIwYbpCVcOl3x8dFEbNC5zs ODHqjlCZ2OdInZi0d6Frrp6gJsYziGDGuyER3CdRRI7GdtQYFLGNmFLGUmMY 2k231vre9VTdHW1d3wCrBaAvgUkzVwsiVsS+88eH9/nSDlp7HoYyztehRgTE zcGGmOXLlPUHkdYMywXHzg0yiq8vpuarWITpsea51oVgbAr0U00qaaVb0ljm VDHTEYxoMTOdHAxjbTaSPKYcGYqZ2dtuCZCCO7brXSWsOD4Jdh3xNeYFAwss 71U7KssLuzOunesaN8HCGHg5sw8B2VRRw7erqnK1pjHWDvucNzgYwKDVjTfR 2FDGM0B93DGuc6bG222NvpEA2DAklOIsNRYBo26G+LWLyJeKJiTC6BjGtyod uxMi4ahG3XBldG141MWYO+3LyUZJkktjh2a4sys5mzpjWEyFbpmE6m75g7fT nLkYumVBsbYXITlF4GtbS6XGUDK5bG/DfjfLMQ5JHB3lR1OraqUrXiAWU/EU 8mSKwHiaSlAxomjYWlowdh5yLI16LLOPrNk4Vj3vruX0mzfet992bUZHT0Bo YPVZJe5tMlGt9FZXRYq3paWxHZxGiwkBIs0uHNBs5rRvlaXJmyqlmZLCCtDX TPMLBeMHIqM0CpY66LMLXxennvdrtNdtcKQMPB2rOFdLpUHOiB3xLlDphyPE y8XOLtB2YkGhpd6OJLTRgDpmmMXJQy4lBc/uPSP0nl32g7P44w8IaBBPcfYB 939Av0vmHtU9pJS0qfL8gkn7IhKU8d0Yrn5NRGChKiyDx/TB+ESzUIPPLCkJ kSPy3GGMxI/zt71BBepo3ddzBfSNbF2Eu5l2lvIvqZ4lGu1YOBUbCCJxUQ/o YBIJFJZX38cQw6S/APw7jqd7j6mTl2+Q8L4ev02NhgvT7N+bczQLFPXbX2FK UpYR2i1GNjSZMCZMRMbIiZmaZmYqCCJeO8+vATwk5RUGbbigrGHXS2/M/zvi JeSMK4nj6efmAp8oUQeAe74ZI9DGXGe6fl2mfwKzr439teE9vgeGuTS4idaD qEhQaKkp7OX/L/02+54/sfIrG+FkUUUxH0nq4yWfQ0XH+jPDD3/305+o9WwH kdfy8um5eAjwBgfRLkkPsWNuCCFn6R4UURz64TLbVAGIYlTW9DIzCNqHO7kJ WTAsqFg/J/t1XeGzBDjcdaLtKr9oqlTorJAWzD3P2nDn22Zu7fV88aU/g/Ud Vh8Hr5HuP7he1HIPFIOoMTTEvr1RPi6eGjK/b5/wMkV59J8wYY6QvfPnjX37 l/Lxvqah5g+oPE/dfx9X3fjv4bvT1X3ntqdXHwfE93o66aEQb3X47GhoH3ej ycQ4iQCzDxTSLRsowJ8bFhsPBVIMWOPicaUF3I5acFKE+MDnFiJ0JAzWPo4V e2izl3mk6U3NmIaqOyjTCAwUwULbkhvyDmUIA8GHFb8Q5Bfee4MFgfUCGNAM aR3MG9TPt1Z29xXVjMm3TWhnh8/25b84XJS3xjvoZJ83rjSf+nKcvabjdifE LQz5ez17a97s78pmSN8xaDP4XqvnPVNnQn0+PxRl2dz2MTuMn7c0X3AI9SFA PNRT6BDzr5r6vT8BHwBbljYBCZS2PiUQ2g9zUMkNfKlEqmXEp0Cvw5vPcPMw J8O7M/vr6/7PPye8O1cA4DRDGyWQmLdRI4jScQoN88eEzD4a9sm/Iz+tLvzH n4T9dgX2i8wuZP6e2jkoJ1n42qfSyPn+nG+JR4Y0HWk3wmhNvZxnLpy5F/D+ AkP8I/1X3gyg0J/pIQMFgQ/rMwgfOFzkI7uIHuROMP3yc4vIimRhTSKsWJqG 2d5HAIYiSYikIkSSHcGcIkYFPEEcQyEiQZAkIJ1mtS0bM1pKSpLZmzKmABMa g0FjY1SoSWBUqFFlPR7Megm5MmCLC5LJmsbJMm1plWk2VTUymJNlrMmbLVlT MlS2aTY1RgytTLTMmrNokzaS0qaykrKUwIWYROr/Xlf84Pmr2QBe/D+IgPDc P3AMP6Due5g2Lv3ezGn9keg+xI/Me2Ej2M9+J0yFyfZgdESmlCKqCJLL9Z/S e3s/G5h1PsPQbgLlt6TALydJ4sbTHQ4Dy2bmUoGCwGggEw3rEKV8stuCxP+Z 7M/e/jQrHeZyR4x9fybw8Dlry/Iw0N5VyvopTCuPWtMrWmzg9v7OBelXGFJz Yo35IzdLF85e2Fr9l8sLWfnmk9PClLvXI8SSONstt+t+GuOFdtxjNNoOXywt TShG7kf3n4ctODyt+qm/dFlrSHpyxpbJwQ8ps6RWemHb3z+P7n4Ybm3jl+48 8eDJDUX7OXadaIxvX0OnBLl/0YxuTw1PBNhi5cveqUpSmcZNEOf1w6/riVdQ uohD3AC4aP4ieej8DNFExr/iMOvhv5SOxW7wCZqYhAWHYaJLB1/e0eXjnkd/ 3690EEFdyBQwA/QMEMy2+Se1Rd0fnpRIX8P2/ntkeQWQa7cPaXz9HnMFCaRx 7YzbbY2IvocpMBaVdmztTCB+qKA7Rpu+G7Sp4eby1KbfNnv5yuDmlmYmQxRK RtrvoOnLKGMdDSNDz4s9Gl8HWsL/o/Revu7uzDy68NOl4xrFdCZwY/zFKzTX dO1rW8CplJWCCM6flzob/SZz6x6YyaxrhoXab0bH5M4Z0lsjGJ78uWVfKt52 7oxtfXnW+JfSnOfDQvE/UH1h/yjeC8AEXyDil4tJwvltTZoKiLYRwPD+sISa OcnTLZEmjSpeOX7fW7u6ivuKL3enBnLkPFTfgWl9vHY4wgokktTI5JhUhXo7 Hf9Yp9v297x1Cg+j0HPoVEVVRFU9uX060vRfNcXXYsZTfNtuTNOdtmxhRs/0 Pbi9IIi2VDf0nLyiphhhTwxrj68Dfxtra+7XPaOO5cOCGw8iICDwfwASQH0K J/IQmOGL+RYoL/vjIhgoj/RNnrSGu7jCgGEMJkRMKojpmmgamqamWTUzUzUz UzNSszGpmpmpmplkWWmambMlZGlRaVlIJiKQi86uUhSK36LwO71DuDC+IpDo /tB9SZ5siQhsqP733x1h9NYRP6saP1Hxfn0Y5+/9aT9sP4E7FgusCW8HD9bg eZaw5X3VtK/o0v+gsCBjQG/HF0vlI5gaCwEttBBrDYQ8mKSdf5OnIop58phn nY7qIpErzxpXeHlKQvdjSvExOXjdkPHdsHx8+QRz/NLuqSvIGpNLhZHwoouO NojdweXYwdtwmUuWXQxptQkbluh29GGo3LLHN0j/OU5jBjTfebr+qBAa74bN dVWbmxuoRMNaiXjfK0No7HFjMe2b5oRvXCgOmYzcq92SjMGO+ZYyh9VoqaHn OenTo5mhiGg2lMgHptg8VFUvLo3wpbMiS2bICpthONwFAaGDVQy0vEp4kPW3 uJswBOkDFzgA5sEsh4ippYYtJZDsjbbIeDhC6MS4035IEBkcEb9kxr+01nYP Q3RAZw0RUuLsEjdosCBYGDNCwUVL2TpuBqyG1jKiPBSQ8aJVkTdxsED9w7Y0 B58VPhQU8/fWVciZPoG0+BwHoHb6aKgRe3mTH3W4WbCKDWzgk0iXYq5I6ogD Vmho0A9qAXRHFEx7gihkNRWw9jJrpvxbfb611RBDaBtLuARgO0qGuGjFRuJg cDo21G8HNZXajjNC4cDLJQ0HCklaMRrLwoytb0FBT1tBaDmD0ppouqKUbEkO KUcDwQKsAah0w5uEDJJkWuxumoq2WCpzGBP3gs66YREaUerETq9fAjwjaROr TIiqDXp1m2+28vjoxeNBw8RuSNYPsnDsJDvTkQMG4dEbEMvk01NZ4RKPr/mG AzyARoW8GzRoiD9gIVgJZ8lrENDCKQqlaa2UWwlKoTC6Q3CuqBwBULUARJza EjmPUr/Ywv8/+BEmj38WqpXyTIeOppKZpycjIgIiUnz7K+Je/s6GBy2uL904 d1JsF38awbO3J3zwQn+kPv5vroP7dv6guAYWOFM1O1Z+Cj5eapgkBgt6UPgR +dOVpD9Ppoq4QFbQXZMpe8aXBoE3L6zPOI8a8TAytErMqOk7GL9A+zDs20xt lyXJQ0Syqptjsqy7q6UHTUGmDY6S+TX4aqsxj0xeYzRSTHjobuIbHmFjLFC8 o+mqP1YqMZp0Npswn/1S7q3jNDMnjKCmMsKagxsJVFSghTF26TAoDxVNHYYq ZAqsEi0hUEYCIByZljq0sHmzHm4SEDYKtYCR+k7+1pB7Z2eJj9jRvssPhWM4 p9FhhK+LDc3oaDi3A3Yw1bVmTqMIMIoz0DnHjkciHu7duNZT9xrBHkjDvaSx MsjJuCjyqKVK0ILwoWA7ioxJhQMuXYjZQGVfd4QeMtgQS+STUYliGcylTLIb LE7WgmFdHNVGEGP5HXQabDMMjXxOxdUzQyMQxY22kGosuw71otcFsUCz21yE LPHd6UHrcMxStUHx8cdn5yZWsYoiigcIXHAJHumkxFVY9DbI0GSmSVhIzD2N Aj6wR1sCMSMhNaHHCWr6B0fW1Nlqaqds8du++NQs4luKwxCmC8b6K3gEkO2E Q8TbhExxOHDrHdiTsEeppw8RDgBcZyqImXWTJitrTsQZCI0O3ztjO2wYkFxA GEq+/HA2d3KhiKpiQJg0QRkE2EBiqBPTdDJSfAnvc9vVOupwT1ad9mdiylGK tSuq7JmrsiQ121lFNMCyEoulBUGsgCH132r7fq/HJwOEcC/BIpa1iIjSZVDb FcoSlNjqXK+7ebssTzTtF5k5zOc/4ttqI/1hKHQxLQxdEbGDBoWiJ231sI8I 4MpzIphU8seMOZMOxPi4YsGPPRytzc8Afzn7V34nNYKPmXgQdqFPiK73sDxR AdiyXkOHDBtHniPFUmg8dYsvomLSQiaKAsrq3E1EvSI3NGfH3er2RTHEjsXq U+gha7WFY2X8/f7MrIERFuFwPan7mIw456M34QAcN2mevAQ02zkjbIG9PR+Q F01RKJnR+IeHpyWgbWeBB0nScMQIIkQloyv3jKn7b7+d7584/ZKstRojywss qwkqUWZZ1+nHTwIQrJFiyh1s+x2waljdt7GZjBgqtLDg00L2vCfRkmEtq7HI dMBcqSIzZuzLhNyBJJNpZtJI0YttzyCVtqlILAQLEnUhCkCUqfEkuJMsUQVA aYEUNDR1hotWmttJfYYJczKEgYLIjRpYVem9TbWpHUsRqThqYjOAThZC2KwO j1ew9SaYrgULhZxhp6BBxVzUVQ4KK5GRQohUZTJ7tJmm4ejGzvB7vA3Ge1ST vPZoMgnZCVjZzXhYVPN+kRo55tmMSuGRkpp+giflmrn3hgOvtZMeTyCYN0Nh 2IjSxmPGuIBFO0IWkWKKUtuOJY8ky2DTbbGYQSDUjB0jx8eCxK2sZneUlnnV 2eK2qSac06pGBoS4r6/qXfL1Gs7kPitQ+sTXuMeGVYw9nBcFZByWXrG0NDf5 /HxVKDZKiGPd7XaCKULKxolxXHkafMeZAjqSjx9E4hdVCrSOkozcI7IKZoqC m055S7Wq2Ns0SaiztTHO/RPbAIih316HG4++xyosCGwoNDQkUwNZKYX0dZRs 0mM0OQxRkaq1Vs6LWg93E3zJNO2lS0ILgzBVssZPzVJ6LtrASiRGMUaUEkQB hCkTS4tLeGLASzvbHDK++BQalsLi8Lx58oiLn/c+uPJrZp7QIGghtNJ0YTCR NKwGWModphooKI0DQFiYCTSEJg56oj7z9+2+c+A529HlI+0kWwWzgrZXKOEe 7GeaJdQvM1pbK0qse4pZFRhkjiuVAKZWrvPzguolYKgWHfvAa6JdWYnpTR2u 76VN30afY2EJtjAbdhsTBMFNE3aQh7LOMinM5XSDgk2CzDCCdxV1J19vXzeu fZT1K7x3nYM1bWhJkJsYYFqRtse2tFGyhaKKRQaB4JmQtupUr4rKXvvK9ena 93oGfggEG+bHvK8GZUhRwTvTbaa3I0rhRq3a1yxWRu45UyMg2KIMWA1U6Es3 Q3N9BiE97ulBawCFKLQ4myQbgoxtt/IOKcWEGlAMAN1GDWSbKUEGJJAMiMVK 3LDg2oVJHNGpdTlZk2eDRiut2iqi2SnInpxPvJzzo5nLI/NWiGhqrWBYJibb Voauuq5ovwu4g+u4ulVXaU6Hza8nmcQ7TUSPGcQW7NdmlD8PMu1JGS+/g8QP J4Ofpx3Yhge6jPio3TY25CMatRVURX6Xmb02tNITsgQuYUQOSmUkGtZVNlFF MaTZ1um6cON1bbUYnSFGiscbdEq9K7QZo2pLEUkTUtrZGV2djYNzPfuag0cI U8SZMQQQQhtjsAQrk6UeRyHHScyxY0MZIpOdTQ5mhm7awY2sOk4dHkciHnnM liCWJOSEGQGQPKcXcLUFsuCoAZ4C6TUHVjGtDnUY0GpAo1kJTR4INgXAFQVq wdRKVqSjIYSDOER6Er8c2M0ti0qFXySC1T1XsMwMT7pdnfcgu3HAfVCIZeIE tHqJQvHdoVjFikENJEbGXQEEakB1C3TCS1lKUnFkY4CmEVCfVNF7ApYQC7UM Y2mygciAa7TDjBpioHr4ZSE1ZYQKFTSgpSwlnHbMkfUKywBnVHTViyCgJsWz V0MyWZ28GndJs6Kiiqlq1EqFMEUz6jQF/fjGVsrdkLGfbnisGODDEmNEHQML PvSKYZiaKKpCpYSKWGbJ9Av4BC1TGGyeJv/x1hcgnLwM1owrnlvemx1hLcmC N/JZKYAaysQDMWTjpVsyS+wSZceR8RTXB0Hhbg8OId4jexthdAc9sDQzuQET sRuyUUCUyzRSIriHaPGmdPQIWl7ZohCMZw1xsZCVpE1ZWOZBos8b44LaAEaL nto2Wq1J3+D1e3fflTQFIW2tJElA7HcaMDGRsqqaVbkvBXi1kyNSubMOfSIH nRTFaXCLeg/0FnKMBs0RtWrppNNYqQtZWTJkV9HW1jVpMMIDEKjxqGunfphU TJJpSHQehw3mQ9+ajO29bzQNkGRuYLNeYJRFpiwF7S+F+pLA+R2m0G2gOVZJ a7gNlsjx2fNEMVpAlowNLEXaViy2xNshryo4MlLVuM2XpW0NSikERZCKwaPk FAGhVcVGmzybo9rWtxFaxWMLigyNgv2IMwaAyOCvjihkFq4YEcCyQiTIZCAQ YKDAnt7fX+PRz3ufXK+mlfH8STB3Zcf4++KZEEZfD5qaOtbxFIpSJ/RSkUn2 G4ERrCW+D6PukSS6tCP1P6wP1EeYQsoWUZOBfOeoBHqAR5gXsBfvud7TbaHy gjlH+Xm+uTj+xCRjn7O+GTDqOGGTqx+ZFs2MWFRU/tIgj8OdUAKSoooqKoqO hJAkLAYhIwMAlWEeYymQUt7T9pHtIotCK7AEAwi0djE4ijgkvmIogL/t+4X+ I1x6Rp1PdHroqaQQDP3jIbGH4/1SRJfZiNklFJJFv1JzM18TXZZlmWZRpTRT LMsyzSYRnsxxhmGZo/4ThBMDAyTaz5tRkVbZdMc3XXx1NUvffw1StqN48MwS MoSjfO/bS7HjB9W3E739YePXTZXA0WT1evmRpOlKzHrzBCR/LUE9LCKbX8UC dIaKSlO2FrnLR+maYCiDSH5Dj73KY3ibBpDLthA2C4tloOLVhIcMttG5b1yy MABjVS3rgRFoKjBAOCUMkl+TWI9EhVJzG8vnt7OO46GbRVHVoz5w9tFFBJ90 Ym2fOE2AHP9Mysfzd3CEbGYw6f5dx/5/NbBgvpKi7wrvy6H88Hu0phOctOiM wwjl6m39SqdshSMSSEmuvXiPSfJPP3/E4P1bJyPzPzLIt990Wmpe/Iu8Xfn0 J4q678Xh7cdOOnGropCEraEW6Iw0Hm8GmNiK/BqbIsyBgYBIQ2LACm/RL+7K hfEz7KY+YPxzTs55NREF68DKkqhpIKFBZIQXP8danj3E4vf/yNj5GDNn+QfM JiTSQlKqkvugxMnadPpwjMzNpDZYBIgChJs0r6/JDkoBjMkGD/IgoSCINZVm fu+F+RUn7cfP69FZ7vWZW6LfeW9/25/HWtDvNwu091LhU761zucOKKcqZXMz U+Hy189vCDw0YcIIbDhVBVVSAUhUNoqtLNrSW/D3ZGjYtRou66U0Uu65vuEB DJXZGMx42tNPvaUy22NtjscTjuhypqo9M7GjCIXCXcnDu9AaeSqMBSm9l/1O Oun7Na0YkhzKgt7a3rFQDMZR59XeX+QD0/U+7uBVf8Jcv6xcccdVURhj7gv2 cB/yZmhIsxw0gGO0oFo3Wtte/qrbvRGhLAkkwzuQsqGNhBAsAwKSsETADEmm CGmyo6VMAW2tmtXKrNbDZFDcXgXaqlWN8PhBVX+b09PsfBPhoreQmuSQID5V FOR2hUU3FBA97fNVVhGI5rKRtjqBwGhRgW2JsY83atMMCszcX9gwEhDGl/MQ riFwTSQtr/Pvfmn3/bPu/RkfzbYrtWD9P2Opp+SnbtjTiGG2A200uu4v4s78 mro/pehW73taL4FOCjBQ8lQb5aN/y9kpDwC/4CrQ6K0exM4c6q5o1FGxqKvl Oauc0CGxNgMghAMB7/bt6R7oZxsjA9VFndhQEVebR2emnTYzDKOmGFzqdABE DOiQipAhlbWo/FOe+js0Aa1EaGltpDaBsVDX2WYOODWrY4tsWpaN7YGSVveN lKGfiQipUeZ1OpQwBXE7E4ttgxw0oTZl7qKWB4iBgVbFyIW1dDgbzOyQBUNS DOi10RRWkkJqKDKBkIf0stLARimCeRYmgQYd/I57qmg8AMN8C/4DDUTrmfiy qjPk5Qs8XQ28MbpUN42O7bittCJIkblwP6qTLIgboTVsbU2n4pJZgV8G227U awMEX4nM7aBkhJL9O+BHASR9SRsw+Aj+bW/75D64WlF/qj9Ff7P7gEO/ZQ/K CTWv2qlgoxk2sUZmxRbGSxZDZmxbGqi2NiitL3rtczWsSJNE2tsp/gGAOTSV USMqP5wMFP8SDRSG+0yItMVLFWqKqIaw/VV2xQTZGU2mgqJ304gZbPzwNihi YNs05rUqmN7Q0UrD+z7aBYGCGI9EJzkz0adIHYcrWxucGhGjFSFP6/txcMTV kfLDZHeQH/uzD6CnRlDbVaf7Gv/tZHD6jc/1v9ylsK3wdbB/O/d3/9RIOkic f/H8JFVj5f+bonX/8fweZJOzuefXpHeA+lSI+2rbVskCP+21qKt4CiRNUkmt V5RruNaQtFEpqNkqqd1d3WcbkyGKTZNW229H1WqaGXT1RtC/3yJEjQLCAJ6m Ij0QQxtr/T9Wf41NwqWv9dQfF92Inm/2qGJapGA/9j5Gu3Y5zvJ9nQcKKUoR JvL8+H/EzBdBL6gnUOoWiIDc3TFR74NI6cHERgQ4lpKB/ynIClKENIjAuQLE hSBQUUIcMDI0fkuVTvWVGU1ZlEbWJJqFHdgTFAIUYgIZEmSDXcoOJ1n+5D6p vq6uj+9G5JIaI/vxJlK9jYUO8zXRdRqdNIjSdZIeMaJbaoSszJJAwjIL2qsO KKa2KSVTJIhtfd9eEnEcCYSHJULKSPCZVVREoaDYiJcRF0R9P04I+mKE9kpj FCbsgdq+kilQeqrTe1nmWkcgkgusWgqFUrsbSjyO0Py/j71eapdtalv2bggE NBh+WclJkmJGTE0hKhTREiSgiITBEJGJAySULFIk2mQyaZZkShCmaTShJpgh oU0RSSkkkpSS2WWWWpJpCFM0miaZZkSiTaZDMklCxQhMEQkYkPMcYCuDBomp qJoiYsU4PreHzDVtg6twCYc3df+kNJtFMhtqYQ7pAdxx8EdoO027UpKshRuZ 28tzU58yIdHSf+ys6ws5TT1ny9k+7VSkQk5ndI06eo7RIIm09DvOljl1mnlD ZIcvB1JCnVw/J6j51ljx8Xh2pJDts7Mzt93aR+JEn1rGPSJB7UiGTHgfBy22 cKPVDyA5m6ciJqKppiArO80LzsoLAZyFU7pLmAtGIYxApFdK9augm4+UYbHi 76g9F9iWQtZZLR9CxMHm/RIRXeneErs7tfjsQT7COQSfvPZh4ebcLpQ/OioY /nA81TxiQtTzj6XB3fSNm5Cdp7373u+YQWyJ9XqZx4KzMg1rRq1hSierqa7e 5YJYVlriIfeLU4G4gDeYWxSA+KLiF0GIz7W+clVEVEVSfsEf160FBR7un5PG kI69oIZyZ5/X5DQ2zqdSiC4hUHodgHes6AKB2KIcmSHFHuRED29q/9OwfQxR VHYiRczO1nSq+K4mJ+NtGsO/3j32RYEAKZQl5vzLBBuMV6p8XJQjvGjRkNwS IybEG04DFlYEiZFVLMzMIpRgQyVFpHBlUlUlVoNG4WBkEhhm5cIg7kCjKsii akwldpHZAVhHJU3Mh0zmAKUrOkS3BOk0UkEA1TwbsQPuwMacjElEyR0eAerv BDsEGCv2WaNHQmI2lsDLSWdoSGg4yA0CnIyMEUwZBOQ8tSdkdUdhYBgUPPGO dYCoHEbuBOyDohdF3eIwQjs1EQcoagl+x39M8ZI4exD5LKvUQF0CQdoHRaya +krocE+9/6tSw24NqF6kj7Q+ptI4Tbw9sX5SdYicEVHawyQYIlCJEyXEGX7P zkRgJhhUakUGLpdLvM1+HN+B266xub0Gzkh24RPOAOCMhbbPkCgLCUv2TJg5 WofS1ttuNONTosdWtpGiK83wibn5nZzOpdpBbHeTr8/0Pk23CkAgI7KijggH doeT9HhH6teVtMVSST8/ciM1TbY1KaZTLT/L9k8PZ4GvBZptpu4sVszUxFE3 8ZXzAUDRrmPpcRQEfSCh6Nl9891s30lTFSEhgcD7Q6ibnfLdgYJFRPZ7erUz zY6aiJETvqNzhMw0SnkQBnEA70FDY0ChJHw6roXvIO2yWWRlkepPNPLR6jwZ B6HRMWRCqSipVUUKibj1KSoWRYnqMiF29Lo5OrMWrKsqLRSlVKrm5enWbjZx OjlGjIViCVFuBtv4BxxwG3BxuGstAwigIOGZUPyWxBUlGyhijIyoYQtAhjS0 REAmCSG0BvI2GKVUiS1Vtgm4xgthGUwKYYSqMJmCYQmRjcOHPb0wYnT6LyA7 gCFvQWIzNxCLLBeaRaIcizuSJEypEiePCcOlTwDljhzEWb8HD3LZAlkLZRmC TqSowgzLASIBtoIrGjZMbbNqppmCoVBKhKkSUhUiUUoZQgGRkFKa04AoGnTK piISSIA6zaabYQwgcY2VFHSJgih7PUd6IKe6MJSYjyxwrMLdMgxmyVG13dg2 977e97ygQ0SkHn+wcH/aY3+AY4SRhJsr1PJO5FEaQlKE6e1rb0PvxRCTOqKq uQJpL/VdphcEALsKoOXLdxNDeWRowbdkd6ZT+R6Y9J8PiejydOsQLVVCiMvv /kZMqNLa5Ruz8+keMGi2FGOV8viCZ2m/gcJlh6yRPs9qg+6ZIJikgqChEOaI YJiLMQLIkq0kMs8nqIfb/WRJ3VLG1/s1bMRQh/j/jrRY/olT2r/39s/kfWyI 5YzljTUPg7/n/eL9fz+/+mftHb/OH7Pnm/8ISLlVETJHXSSkm1+s5kFzs/P+ 73lhJNeu/3eauJMwiNMXjXW9+2ukRw7D8dOKCGqQjOdk/U/S/wPgXZVNoYmJ T/43s79/H/UP5n/E9ihUP+ZY/zCEXUTMUmZJSoqq6v8eCII/MNwfoAOP72gX xPwrUVX2fR55ItVDWSkMSykiiUYSigJNQWsVREPz/znM/Kv7t/2W9JD9ikR3 gWBxWRFQ78ic0g8OeNECcgtiravpzKzIxly/X8Fu8VEzPfa3vXnjRCAE9t53 1/13jx7bz5vV8+70bVJBBEVFG+OFUihye4M7eZsF28AoLwPIejVsJDye1P/Q r8D+8Hz/j/BmTMy221lSlhmKl1KNVQA7GWK1SqpKUsMxRaqszM7bwOAo/AEA IAHm3+zfRtJV+9rLIyFOIhC/g0i/isxWYxjGNmKQXNKf0hzLDPvFT/JTkyx0 pSo+hfAO9O2IIZqSo0nq+aLy8Xv1LypL1EsmSWJqRTSWST7ttVctqNtfXfHq +v1302KEJFERSjRRIQSwQSGABze4nRsnOLTyfmRs6VJXdF5L/KhjpiKiGSZC TGmyLJBpJJIQYBSFMCYBgEQK+na7oUoglJNISYmpGgkyWbEEQAKYE0EIAATz ocBGwCAbNznHgj7EqTUZ01chGNIuu6IO+ftetvG373xvo+nQTg++7glrUNQp o1QA25ztqteLVHjZ5YmpJKl1dMr2Xa8O7WqyyNbIW0V3HbFRax0sFzW15tvN uRr0Lp05ESlMkgpQiRmqSoFgCyWbEmJJCUiE0EmASAoovh/z6vV5CNKET1lM IGwiRmUsCwBqSSSElIShKRCZApAEAPfzbVwyUlJSS+i2uul66Zwbam+BAkqi N3UG3dsbisghQbyKxUkUpKSkg97a+fnrb33WgakKNFFQsVBDvFY1PNUZE25y rRaWyWlS2qWMH8Xp5Gw9O1e1X0BgpJ6hiNEpjBDH8+CtMXweuig6yJIH5hcy 9Y2aaKSbegiWgg+Ec7PlvMnJ6RjWHYiKIPXwUX5B8cceQB1xHbR1p3Oo+YON 54KaSsHw+F7jsQg5nbc0hEocQ60GtBTE4at0IN3MRyLGSfDY4FBfKymOPfY8 FwnutlXQdbYYFOBK3G5ToitEiPnHZJ7Ytl5SxxJkJY8Ag97wycF7wXczBLbK vGcAJDctTX/6+z/Pp/n9n8nWla1tg73ve97nWO331WLxvYqA+g8E75MMx0HI fMXM39nqaeGacCCohYJy9e/Xa0o32ljnPknGQ4kTRk7YgBzE2Uw5qclwtJM+ ftN7PdYYWmC9/qvqyzpRNxyETZBTs7E6HSSSSVE0wzIfLulAdPEhsbsVjSM6 A046O4HuyHEpqsns4R9xt4F4ygdEU6yJGSFNfnfQfn7pCmEUdfNmg+cdgRM7 fni+oNc+6oqGgpaCGCKg9CLo/xP6v2UuAQv2w/6SrEE9kimAcDOwMv+uCkyD lNCEMG6SH+aRU7h5YG8DQBSuSHOyVDmcgP8nUrQO0agaGPm5aatpuaOCrKVh FmrLTISNbjlSN7hZCcUVo0ia3MUUsDY2gJApCX/KMKEgi1Vf3ULkwKKfxdmo /7lb/fcHwdlNtbUzEw214NJaeKwyI8lhEHZsAd7SXDvC3ZDwXxqqWQip67CW YPtggXUZ3geSDE8EB9+AGf9rzGNyJdUhG8DPTf3mvR+6RwWGgtVrHvq2Mpd4 4dI+3Bd4q1FYAGT/sRp0XdLeXMDgWj2CpxUlOEw1LVvu1kmtMWJjXzJyCdzz 6IQEW6pwg12butBwqKBUBdk0JlnrihMTDaDGZUG9strV6JrNTQ0A2YRIx5qu rS5rYaoskTqmGyQZdFABYl+TSs+aYvYD5aU+myBfWgCX4l5zGH0CPIR2DCEP ZRA1qPESh1SJX9gQ5TbTYNjCJgyIISjLLJ0tKUPieJ3AcA87JA9MDc1D2nkb kqkG6T5eTt0Myz02M3vu6Js+fnDsSNh7AgsOyZGYCKh4P9DiI4JKQMdZWNu7 ZH5ACQoafpiSPDETKiMUmoEJSMnEMZYSbBj0Zobz2z3qSKDLsnQgD0SUChSl 9mGiX2WE6nbRgv1yJqckP7Z42wQKU+BJ4AvZ1Q6fSmYr/IEJkoj9kqn7N/Ro HxOYeiTrum7nx98ohQbfowHUjkohuFufB30RJWxJsnol6qDsd9trR2E4hUDd lgdqXYM5vwftGatBeFhSoaQqaFHTKaTIghPZGjQPXsduxO0/jkKRoSlPJVBe rzpHevQxGaDz0CBKyFUWZmGtGXDlRfcvcHRilhDlx4T2+01oG0GJ3ICofdx6 iokhai8zEyvj461MjRT45gbzOfPmDTC5iMuqoWJ+O3rOaIyPf5vZFLE9wnJN 1tu/uzWrumuyToUrZmDHwzy1/49+VPKGJBwhMqUIUgaRCkMkwJckyEfQQnre Sd56l4Af5hC88fno2qNBqwByVBAkjxY5Svt3nKb4mlJzONzJpO80nmPgSIxz L70OUrdHg7foq3WFaehn/9V+WtjeJEC3Ch+zldWrLLrchsZTUTj0NOj8FpHi odNNTmRI3OnM/OHYPWnpiPOoyPfEnmRPnrzweE13skGokshEmmQ/TH5CA5j7 VHyklIBkcNmDzY6zupSm+Mac0I352hSgShN8dKDLgQeCSC57Y8xwg2MyjPKG gCA0EuKG5jsxMRBVK1MBCX3Rfbi6D7zPhdk7M9LTNrDU66GD2EOKwnZiosP6 O/ah6tKbYKn0Sh1hXJBPxUUgDSkL4Dt/frJPSKbriuqzOrbK/6wC9rkMyEHm GBvYi63GAli0goYpiqmu/H7dZLCm2yPDsbGIj7ixEdREqrSVNJOCd9YHFSNg lKHR7yP/UJHxiJKToHPFDUC7ULPE8wk/cTt4dvprW0fMz67POvts08R8i9HR ej0MVMIElgo5QAhmQm/vYDkPJ+G3165HPDuQwrqYKZUCdzLDAhDPLsLwSzEH 8eHXTvCHkAx17BAeLYDBe5eSC/fIh5XherEcNFmoH6WCr9jlPIhQpNVSQQoY LFaLQASg2A3s33c1Ap8S8bElpMl7O2fRWBgxas9KN0vs85Aex7kwqdJkTr8l V0wHEg4tXAFmIZbCIcQtCm/TyI5BZ4IOhi09AeDRjhimIGZO2GQ7tGDaQQ6U HH5uInOQ5dZ0AgnHpj3+z8dRms0+qAgggkSQiKJYIxzztgjuHgixi3Pl5374 YQLeeHHuTXsY4EyCAgOMg7zo8rPsBujJEjBrATASSJU1rHTQEktLTVm166Na LqpalqOLGJYI/F39OvpsHjT4Vak+EhmR/KdOGKCnPixZkCAVVIlmlyCfGiBK qMCEyCmJK9cGpBzWJnRO2oDuI+EdEF87Z+sqA7+Dt5d8B0hxQF95hr1JiCHM VPiOEQG0g00CNaF3V/9xISZotplYqjUWjV4uaiGVhqiVYhUgkdLrY4TWqPQd MQ8TMV4lM4DjRQbZToigp06gyzQ5qBlkdShRQu7Jk9/9692heDkuEqEqwzUl NKQB7vfiJpoFSP7odQp8d8X43DCcj6VE0K6MQMQMMhkMfytTU13VwI9OJ6Ka BHOFwVx+r83pjhMivvBdoNBqSMVcNOt9BoYRoDx+A60T/k+heDZNiH5XUPLN IHyF+m6ueyMkKdWEiubBigY75cGPBOXkBJgyzttbSZaoF1UbGHw3X4q7539A j6HOBHn7+159Wv0ZkxR1yurGsMhUCOygnSHvjH4JLkDxNnuNxga0iJ8Q7ICJ jkwoJkK93p4Hjb22jextiDALjYTYpNnRuHW9QAvG2TzbMBl0gC/fktwQjnes O5nJ7YhwhxM7zsdhVwKAbYcKbJ0UWAh7iOERIcRKW2tsIuxpNpxp31Rx97Ip jq2cYKXeicgn07W5PPrn+PeDiIwIgfcobElb2bIbTTabbQoQzLK5BfzUtJGs J7JhjSGKomEMEkVxg6g/6myrsxsKwqvSAUNMJvtivPv0T24H37CP+ECFBEck 9CiVCkcGMhaHElJAulMyEGc4APrflAP3ezPXfLFn391yZfeXJVosmqIpRbJA cye+j+MItSfFmU2V9nPEOgQpc1scWj0R3ljsxhIIsNkLbWFDbE0vOXAUiDxD U9JQIILSsEkr6SXBGiEmQ8UizT0LI9bScPLfuinNhqOJNK03Sws8egJ8rIHc DZgPWes0vQn29ipx8Z84PBKQlMgfYvyztRSWFKPNOwB8S8e3tu4jjN01QkJq E8BoYY8/RBfEVgw5Hv+n/YknVI+1ti/NqNNobQMsD9+F714P5/35mGH7cCbW q1nClD2MLjA6XiXnjcgZhaA3FbfLdv30YabsYMSuaM8nil8MpO46KyiDSZ8o vb+PM5ywnpF87OoVjH6zlykhHtc+O/S2riijHgBjAQWSASIRTJUMhEcgBTRI AmSoLQJSNKCDkAOQCaQMYkwANGxgnGMOs+SrMrKVamSXCz23R0TqB5dtcdts lViGw6taLpxrgOeQi8Hl2uiJAkSS7rpMMncTyuuHV9T4VevV7YbJKSku13BB M7Ltd3JhIBKRCTJBBEmSgm2xtsYz2pl2YBcIJAZNkBe+/RwPGe0OuA+SoZOB e+meWj3u4+DL9bEuujwdPRyo7bdt+EdNNro0so2Hh37AQoMGxBCjsD1LFQXl ASyHFnQOYcwK0pkgx1AZyvNoAzN+TXNaS73LvyfBrRqiTWvFDOO6QIjEJ/Ao kgDWmeN0liPj2de58dT5GgLq67eXDXUF3ZJaAZ4KiMof/y8mFy7h23034jmA reLX/M3SEThv4vdhQzCCLCyd9sXMVi68lZbsam/UySS0zjOiVsxoNKbJDvC3 sLPBiutAfHewhLZg9iBGbrndmVFrNJXIZoPIGhpsKMaLxai5LKC2sBs3sgup bRTPTatKhAYYyb3IqJumxyrxLb3xVEHzaDmz6cJWfLpunqdq7b2mmVo0vc1p vpB8NHWT1Z66YrQ+XTPfxV9RGuekIV7IkBnaEJhdNnhHcz3iy+ivqeIFvx2b fSF8RuKwb6buV6LQsYJLDEzNdBvGkJwyINnwkq9W4srqxCtFZqsN9WWwezrs 7a8Dk0GaOFElwSv5DOh4hdb+Gvj3142kvTOmHd8MYZiZc9EPXL+fLVBa3QzB xWfPLOva+NCjQM+L+K+G+QQhiQ5ZwG1IObW1zLVM4qZp2MSc7QVypRjzzmUx a5Z7wlLWmLtjsYptMJLOlIHoVZWafH5EBBGschyuF3xMo+etdedLle656jYg 9aotWGuHyu+xpANkaNUTw9NbaSLNUTydTPKdAeY0LczGsblMI5GkzYrApezQ OHikd/O6TWXYTzs9CbCEledRq/nztP0P5P5MnANnktHezV8MqIrspK9hINXM Q0VwiPDRWP0vNz4BHe53Sm22T6yfAD5gy+kS2BsRCRmkg1zndI4tdjgYrtGH Cpg2unOu7o8mRpr5jMWrRAGAwhB6N+USpzje3fBO1gMKTrF53aaOKV4579jZ vDSvLfpXVcd3qrpsxSssz+724G7D22JHFTViTYl9ue7+M8JM2XJJ8hlDQdIs iG0/nGTgm0GUpemXj1b78PPAKaaFNa40t3OnVMEzPh0ni5TT3Uis0tWb3dec ERjWw0L1YqMciGQ5yyzpGcc9LGGNiQvjiGLRBa2+dsUyDK2JW2GGTxxyyxUX uIMXtjmpZmJFUAb82J55OeaGFDfjSV2kW6Coh1IIgsI0hIC7EfMfdff+L6qV VW48wkqgFTp0tydvHkpJO8nOJPB4si+ICclR2hOSdkbCHUe0ZFK544GpUZok 2pStlpbJtmVUpszJlaVl1X1deMxLzrqrVKeK9HdHMio6QPeGuOM9yyeEv2k/ K2ZQgkFBEiEp0RaGxMR6OxKF4YCDQEWogSzECsblPJr/kQ7mUVQKtSoQiogm TE4WW7HfpT7L9J0kGNMUQAJRoXuiwAwrbXMGlLwnyhh8HylHpgGvLj4Q6nZt 4jg7tl1SZoASRRwqeNNuyMwSMZat4TzRjoWfNo4+iaGUADYB4aR1f81nnXR3 8VOhdCcfVwu1dKxiG2000HmyhioQDKhAhPWVRzYbCV23XxVUTY8Y3VNnPFNB 1NDzv2RGnbTfHWwvbEnxHy4eSEkderAqf6PskQD2hCsQUKinJ3UD/bBStCcB 1fIMIiA0HpCfBdlzvRwWoCNphIJWqQWFRKB6DSlJ8DW7PSNcCosQ6qh6hpap IoZbQHI2ZkFe3YX/VgkCyXrYHu+l4JHh18vPJlmgdqHtqIw4ElZJhlieW2UN h8j/U3+UbkkkjfXrr6cqxY0San36yjWK4Rs4LZi8vUuevBRSPHZ9yqWz7vEO J7MkHgz/Kn6tKnEnthowcPB8pMsPmZ/b4SpZJnue/U06+Z76pHXW3xPTeYLD yxCbOgxgG2GFZYQRElrTtPr2DQdeAOyEydkiYmqSYqk2EaZLskl56wvDbdYn RI1QJlmsBymoSHs/kvtPP6Q93Q6qeAIfOB8F7hVN5TsEOfrMDzigq2ATcboK VoHA58djl5KF0dqm8ZQKSmiWOo4Su4R03ejKpAYtxdu+U5FSGr7rWrHXFzlR vEthosGkWbia1k8+VL6cRwfHVNHUdlq0NtLmEqjH7s5tkD8RNYMJLrbGaqgQ N9mBcqXC1byqvubsgimaZmEgSQEAASSaQIIwAgXfT9W1ynrV9fhu1VXnxbTv B1oRMOvWGTiHEkh0Ty6NREqgAfjjCDNJJI0gy5IpNGab5dMZK5NpJHABlhb2 BdVnQtmBj4IQH0xxz8cC3UpMPI7dNlyc6quJ3leJ9DQjTFXf3/r071ml0Dcc 6tmuFynDpO25ipM57s5RWc5zeLAxdj5VXp9vj+na4xe7H6V+d83rsOfxpHCL i3rXWXZbVY/ITco135f071NH473Z0+DO2n8adGrc7SxGm78NIwyRXVlZrO26 nHYvOeOONcIs7SNDHeuEETtZp4Kw7IbQccVvyxeFMCSmxokcMQSMFmgXFCxA FvneTiAxZrfkQImWxKZQdtqh0obRNHq6/1KeEd8IbxsQI0CM10qtJMzEJOVe inKyQ36GjUiYKjQCNhAxIAOq8e8+Z+avDbvZnQBDyANIiXh3heJJfmsChgt8 xGhkSR3dwlX1HijtA4icRawLgIoJ9CZsi9SEioWChJQmQRigyQlWxVkbVXlS 18Vv4D75xp0N1Gc0UUlWmyCt0/MvMBvySQXDoPoNOwxUw0bqYRQFKX5MGqcQ D9kcu8VNjTB7XFTy+BFURVbtmvmwdsHWjg3PNX1dXqypQiUqoezPfrtzR5RF 6oneeYXau7SBzYYoMTiecgPIPkesfkDS5gvcQqOiBchTJb13MybZi0n+HuKb C0a0jLsemEVzmcBkcbd0vZagTu2OuSmq8uNXnOwEwuEQ44QkNbADspC5zvu4 bhEKmzGrtBFWLupZTFRvSJhp3cbKikkE2UEyoJkETEUyhoqZBrA/s547s/yf 2dehv+QWcK9k4cOrchGnjZEmSrJE+iH7R80E5C0ZR+8XixGDTBjtQMtzsqGJ IAtjrEU51GjfCpOETvZILxiEhkgHslBZtIBPtO7KVvQQI/QzyZDrko8kfQtH Qb2wbqrhBzcB38THwbcPQqhPaHITZTefxn74RJEI/pgTtJfCRHNzDVTSiTKQ cpF6Fy73DNK1oZXscu0EKGVQEq5diJbKpEoP4vVQHHJIEhvyIItjApfxQXbK YubRBgmakcDQry8gJkUEjvAKKDxfYKH0Ea0m0dQdrFrc91NjwRKSkjQNNNQk gLQpPzQxwnw2Xreo4FNzhIEiu391gpv9XU/at+4U+zAEPVHul9wx614cwC+T newIBIMPdi5ITZODIKbGTEdzDw52w7wFBPNJHkOZZJOkj36+bcNx6+n3RjaU hy0gvQYUJcXzkD7oTqnAoe1gYiIiGoZRBXpIITB7TfEQnk8DQhCNu8yrqk1A k9gQgwUl5IIE8bCPfXz1vyb7Z1Tu+nrbylYApBrWOrvl2kmSitQ4TRBbGGEq EGoMKiiFr8DWGkoh2UTH+xhTdGJHoEYJCjAQkBKkKSAxDEMwqkwI6wDBgkAs hI22wWwaD9gt37Ju0AHBjQ6G9SYJpUjFkZYMJRJVRKLBQqQsLEiiySkLERIZ RkCARpECASSYEgRhQMlKFoUwIBYEgWBCAKWIoiwFIVCWWIKoLColVLFaGSUM QJcyaqa0gcZONOiHZmBPKGLUiz02Ic02R/TKLQqUiUIE6NpKX4QPebih+qAC gaGgpWJYhKWlNjUYpMVmbGqNtBtSVYsy2MasUbFRsSUlG2xbWKiwRrby+jf2 ckWVJO6xtt7DtkwQmh3f6LFuLcxYWXFAIToZOZEYVBYuB6mTrTdSvY4hNST0 MiHbwkit9BRNTXxgSibUsaISGmZNAIukQAukl4ZpJ/yDXQshsSMNjUJMRpky cQP8FnbVb+VKW+jMtWLAqNsbbJmgNFZkUBEhITJRNRJEVJSbKZKLLExhzhkw kCSAAidnd3Cc58fi+38fn8U2wiOO0A8U958wDUUsqq/Xk/MOQkR2v1b1dcuZ GKMHufXYb0KkhzUDFolSKQt3BRUypX+sAQgD+Uegflf5APdJ5zFsS4kmphgw koJN4M2X9DrEcJL0qaiXg2DC2HMz9JoRnGmpJBuytsYfzeS5rVrvHPKm27L/ WOxtzRCUBxPXzOgcl3/MqIcVTL2dnSU6w96KF7wz0TodocEOfPNPd2O5+/Dx e4ZFlKkAJDY6QcaMh3d3NcnuHrEvqj4H25mOtCDgwKRNqzMmKLGzA/o1iBqK 3hF2YPlNC8SlIIUCfR+rEV3/ecgO4e68cwNw9apua8CvED2bnuwlSih6b0gx KsyBaRJtq0a1ViaK2ZayxMhSQsASkoBCSDCASnUgwCaiYGaj5cvUn0bfCIIS AwQ5pt72eBJElgZJJCm28Dn7laVjOLBcegltiJINf1BsVEyiD1mS6poLqKIv l9zVV9YaWPSid0DoAyTlIFeqT6tsCCit2wDTOE0udmIfwgeUjvCFtYuIrw5i gfARCPJ9gu6LB3iemvT7lE6H5Vl8j+c/3dc+5fBeHxvnKZKe4bkGenlsPP3J wDEQFRT7JxmAkgYKCY8owV7osyBhAzMVBkwSnRKho6IKJthHuWSCcSKhyoQe 3P0e3yI67Wwb85iPDIbQ2UFhizGYoOziV7vTSxRV+ic4X5dmmel5jV+KXNw6 w6vqmHY81u7vXV6b79ZtdNZZ0s8EOsG/qzaPHVJ9XOQIAT/ElolZo3QPbS8b A0LYnbSuFoSClUWSVeC3C9SB6jyWXY5j5gGSDEixKIXssL9oE/mjmePz7P5d 95NLc8lzIh9kD56AACjD8lo7dkyFE2tpIjfOF0DkcM5Hrq7Ji81pWVZ1O1e7 filD8ZvVPWGkRFXCiK42xr+RVaSWFMzLMU4Al4gBHkKS7bmJ+mRLLGxClMJU 2lPlcgg2bcCrFU9EIlIp6/WbC8eZsDAEIUtLMayGg1ESmNmSysmNJU2zNGai qRIYqAgYUpEmRZD4f6n0OccwOTqvcfTugxQC4sAQlscxTZcl3+JCwJQUzkhp tHsmkKBpB+qU0WofRahmKRomhKpKUhZa5rta8Wu0Ay4UB4tzpu0b9AiARMHr gNqTVyzFKB8MZTnA9Un5Jffxoe2b+vHW07+3A0ET7QE/0N6foQPN9X1HzPNH 4VSVKEQpy6vmLsdnD814Pvk1h1OvTqtP02eJcovww8GYNRrIcPk3q6XWSfA9 PZI/JEjoKTyaeqSQ+qH+3OgVHY449D2MhS9yYXh3nI7vpF1jUPxxzatjFpJH 52gDhKdVBV4YinktdHUgEAtSiLM9dQGFkHrIrWYZeRLsgHp/iOa0sEnf2QyP MggfwIVooUDt1Y6hQlLbTeEHNHAOw+cOFR41S1OR1oHukJggI9dqVcZcYm7M qbu62I8dPmyJAQlpKIJ54HIZDQH0O3JFhTgK7kgAc+PfpAXbuD9ijeHme7Yu Hu2LsxzjR2e7Fx3nhsXm82uBQ44bxtwKd0IlKrsIwss11uCj8VIB9hI8ONmA mQ3VvcmQug0YxsEU0NOR2cibIIinHdznHgdc7ebSUC5MPhwQ8chOF3QJJkwe Jwm3JyukhMocwnibx60KrMxYrLPR8Zd6m6vIMBnzqs3Ifh1SEO7QXaCPHKIn izZNBj1RNck3SJhBUiwze9HpMYtnAuhPNXY61InKFzjMgzFy1VrWJzfICiSI IlLfEcge6PhsZ6B3MMiiBKaGkYbGtmWs0qKyYiyakuiTpoTHciJU0XbrBsxM aJeqDE1mjEHLM44zbCKi8LqCS1atiBzgLJoIMj3QO3AIcaNbAqDSkkpBJEgI RIdnHd/DZWNkOT2vGDbjULpNLn7d5vNgyDdEwPBOIJkyoSPoXhDgOuCJsfEO adyVRdyp1Y35I6x/WscJZ7VObNIftUIiliJ0Qbhrf7TuQIMGkkDDccRmBsHE dHiLcb/ho/NbvM5A5guR4HV2oHT/vshNoyYk2zEAwIyQ3CVT3UJC4QPl16d8 xquJGVypGPdKKgz39oQduYxCCSQqJsYPuHzNROEQTBRowmHzMeSFByPCQieK NVXqMNSSkjwd66K0HrD0h1YlECHnYMJQDkGEqQ0idUiiAxweiSJSQPhJJHPB BQN4qoKrtNcXcsA6zU875l4KupAHRSSckd8CHLUa2zlU9oMtwtrkKaoSFoMj BQRdjliqdFPq7u45ib5iuAnd/ONzqSm07LdGIseDWA2sQwgNQFtEGR3AMIE7 BvHHoXBx+Dsi5l5RTARgIJByhLojkX+UC6MCsQBdB6xUBQyVpX8CyChRIXqB 672oDPPYP5LgPfiB3EkTHSXDohzfJUOjdSvGnZ0Rn3Vu5WpEpopysxj0jWUV ZTQYIQxYrJFcMcaDEAmi1jWY1V0xGIVg0JRGLBrDC0RiMBosDIy7nH8c43zz TnWXdU2VN6OMLCZqN0TJqNaGo1NaSNGo9SR5+AfOO8i0ioOSojGLhgZEJGAp sZxqwJvO1t2xMjzGV2RlawMHKdfQyde/yJPjDvZPbM1Iyoy9rCGiUF2EkwpX zLFV1NQ1EQj2gDPt0WCp0QfCPR4PRPFUO1V7eHlGx+4kDDzXaM0tcdmnZ2qW v131BR4weiWRHl8/XoBPjBh7/UxrQ+lRIfC7RgyexUjyODN9I/L6LuOSI7pA pCKpuAh4Elks0Yhq7mjaQ9Ua79/oGSycfZc8Wsa32PXEQYi15pgKS4iebEAE khJLAQxDowV2VT+bHRBqiiREREREOMl8q7qSL8XXTwz1iLEERERGwREbBsWD Y1jYIpFq1dLVHxxm8y+lFGrEfU3xqN2TiKSQ1jthOzpHYQYdOxObFyhd1Eg2 d5tw1tIwNIDLs7DNs63ocIiy04nGka4rJEo2bVIy+o5vEPXyTjc5hx8ZrzPm kipRyWmFAOCrorWIXh8F1ZwJx5RxpEbWNZAHZEasgl+VgFJYkMiFvdBb1ZEJ uR0QlWQVF0YQowGLAyo0DHlkFTpqJni89A989PeNrotFIl3GOw7BVX+2VQJ2 pEXCAzXAwVJCtZQ8pt2lCjRIsWZVEls3hS0ZMijBvX7i6PvzEkmW2NLT5rjR TYchq9mBYU4IIXcpp24sRkvLGB8Sc5NngPO3176c1hHgJHWWF3gQG8AacLpX /z3q2yRQaBoYNWVl294UUMzLRTyBdBBNOdutXQZG1ZnFg0gYxG2iEtJCWUbJ BjsTC3YlVBI7SCkFth3YqSeduv/5+zlx343KezR0FhZoZqEuyCwcJgJlHhYM NzbQBDLvSxTggUicMxPGnQwcQbu+VXNzHdEDYkigOJA89A4kskVJ6uBkmkcK uLgg8IOo0IhpBjZdl2UA2QMOdvdbCe4vHmnAoonYvZ6l1gc+bFDRRQgZj4kA j023yMGYbGHmTpRaNilA0ZJlIUI0ABBjgDcPWrKZwEA5yHjtbrk3Owc6xhx0 bRl86xycmA8620OYmQ1okyGoWPMqMk3JixVJHKJTjcjdWjmG5uGaE/XrfBrv qOeNoqiMWjVjMNLdatJQPSZo1kLxm06UQiMnY0tJhBWEZZQYvYAfODxTRKCG iVMhER3lDJBU2Ad/iHeQ6nXnpwmOblLZe546PKEo7vC0LFtpbVK90R9VdTtH F83MNRPM7b1BE3UkqlongiDKEwjbGE9jWPNYm7DyLCxrTVirLNfxlTTQkOkH BJOHfc2E3BwTq+iB7b7VT7FU20gmyIsyfpzAOqmdgYYJvYz6YtZkUlULkBjN b3T49x/MAAHeKh3j1zrK+KWQanUgG1zCtGtU7wcrLUvGymIRGKKAZwVs7ICF KKDEoKUmXH5JR55xOJnBSwFssKgTjDaGAcYRFXWuQAAs8jsetyiSKWIzhIEw rg2Emy5pxEOw0Ki6wCOk0RZJDIJsiUqwOcEAlLYXUEULjE41nbDrKJJBBQyJ gDIoUMxsEBaVkNYYisCjNLAWSNlkNGohqKak1dxF27seB3XQKHgmJ5DTsCgo lFdLGnVktXNqTmxrbqG6pMlyRTB4c/iB67EeaHcuAOru4UyYxIa8LHhmhVQJ eb7Pdd4mwWGUaJRJWQMJiU0mYG/wT6fLnqsjCXBFMvp1msZlU2lflZDyhTIS nzwxeOKzI4ZiyA2Ws6qmFqIIiGDgmwKQ6br5UUtEm0RGKyNoauTVlKmSmhz+ 8/7zSgNbeMCPDcGbixuMiQ01Y/EtjaYutrw+Xgr1EIpIiJaRRBwyURhthvG2 0LoUkWEMWEP1du3qLXNWHT0NtD+Cd8Cg/Z4pcCmGQREZP6tU4Afy4oC48yDF BTaVBTsF7FD3H04g0ChSKUCtIJ+AThY+Ru5Kv9Ky58LdJu+BZ7z3Pb2f54EO 71weR/tlT1qg/rB9EjnuU6dXseSH7kJQVWgXwAQ9vfyTkEVJShEnhbCpoFd1 T2GKkNBBMos+j4itrCjW/At1ifCum0eTUeUtwOAU7ERsE4s4VXH4xLvLcFpU +n2zAbsh3BSc2CySUalTmdo/Go+JP1G3bWfGtZg3LVreK6e/IGpZnkh9D4mw nOoO4BTteiLQQQAUcvFijCUFU5SmpCSKm3QSog49/cC/u/MkJGpOgYXYjwob VFvGCDq0qX0/efyEu1CyxjJdhFZYxku9OrMIZChjJWZLuMqQQfQD5+vVoDXA Ji+h/ASYXlyQgSIQAPcwlyvxgfxUyFGknpG272228HZ5sjrRi3AuBUXgp6Oj 6tXJQQSWIktjJKBOWoikIESw1oxRqhuw7a3NSrcfh3TejPTmakYYBYp9HMwQ WPD7uinvvGqgfXOaEwTuTvYHHQwmJpgcdDfkl/WbIhvALp3dzHoPROpl3QZ9 LkX5bJ2NtY6SHJWhPvkR+BIBghXQrAmIqlQF0TXVB5vZj3aGWRkdhubmpt4p +eavVkyyqZlZA2Wy/XfjmDIsSyeEdB5TaKGyBD/Bb8BRChDUPecG6Q8LKfWg PqOcr7Qg5qO49PtXj7n/A0eLseo9FIUwVRLeOGM1t3KA0pSkx9AYYGZYyOYe XcrwoZjg97SfBzMAvAC4IihCZHhPBv+gbMPwiPriMd7sU7FaWfWKR07AT1nk NAXdWYouErR7ifbu4oBkn5UnUkXB5ipAFIsNBBMAELIqE4hJ+Q6I/jnavwlK WVWLBtrGo1bG2TVkpEtQUxNtWSyWNJkSgAJkAiFWkAiEoX5B7NefG1u8BDIK BZSOqjLXCssjahZ8j7Jt/UkrJbcCsK9Tr06qpG4xJhrUdSRo1T4DcyYRh7a8 nESMfKm7LND+YYNgOR8AEO8lU6CHzkMVUSn0bLgoonVTZfPy8kwqBQZQeJP2 VAeNGnUZYTt7+P3e6rMlWa3pNCIn9GAYyG/85pXQSJSwQSmsEzT9DRjGH/YV G1OOE4NDc000ZMjBvRpo4FFLBwsqtf18b1dxAkQpJtTerwl3k2XXVwOcGT5F FCk2ZIUBcibAvrqtamC3bdA2KmrIWwqTbbpi6ZdTQ46akcTTSaJzlZyaGKFD ZyFM2Qw221so2cYxmXeDSJqpGValrQsSzti5UakyoCnly1tHEkW4zVEQIKQI YAtluZULkkLMLZRTraS33MeXLbVu8tcVaJUIJoIUhSggZGCUYCQ1hlDbTtma SbKiSUkmliFju9edpJbjNjRpdL0aNtG0qRUili1jJwwh46HeDn0ILIHJ4iFo yi4YLzsWHITvBMqm8HC915Pbuz02u3dzUwolKmNezBYxVUUVW2DBlMsZWCyD sglWBAeE8z6eaOfDgnZE2VEXbt2nnt5bzahgksaSZGKmCZI1e6tsm218ZrtO iI6d1wmgJHPhPy3deoBcQIFqwE2MNRqIItsfNtW3S1MrG0EkDJEsiC8hfdoD RDJuYmR0g3/DuAZ7FkTS/YvRcV3o4Xlg+cha35Kt7fb5GivleIiIiJsv6ixf Vhp1mEbG6qRNBOgiPKvOMaJWYqaqr7i1+SBtuUeaXyiIEqRh/jhB2BkT3QrQ UnxktIywnM4YOEKiRvjCR9FnLeTDbKU7J0ZgYQkEnNBXqDjznUh1gNkLaE24 GxIgo8loJWqK6FYr1+u2TE/A4LKZymYamZpPo4tNdICh2E6mL8fcUiPsz+XS Gg2O8W9RmdpAamgoT6MyginsQ30/EAfiHgd+w8pPTGi9kH4dMWhCqDYgTxhD uGA6po71PUfVhkJtq2OpyOUzQkM8yDLEOstHxDl+kNUWEg2CjNQEj7QxWjkb 1WYYq4uJYiMlhVG5E+MUUgZSRE3EJ2r5iSR6fYhrkMQHWmYhoLMMKoRT0yx2 OKDsbEfHWQ6InfE+rWp0xDMJNEIwwrnNNtlMUmKNqK3LXaEUXHlcW9Q7CDh9 SATIhIXSnrt9U8MRtsl53baaWoIuDWalGmCmhiat4yXJdaAcWIsgyCGek4aB 7Dg2djBTtw1pUIQeaIqaYVFJCUX/YNt2GYWAl+poXZUTQkALXa7uIiGigTsf zhr6DB3SEB0J3T9hB57n6TS9XtGRNTgNfZXg2isoWiLSFYolCb39zAIkcKWJ RPgQhsNFiHmND+NanDa/oPSpy8rMbrdi2DVkhNOW1gkpajl6PyiM64J+iUFc CS45Ya1mWTky5kG3txk7a6uHy07iCQthNOkJFHOBRQkCOi52lPLEIkZ6awij oyrCVSEjyy+IueHooG2wpfBCPNXckFvJ75rn3kLrMDulUHg4fxP7CPq6Gh2l rts0beIexLgkvbRb2sGqJeqEt3rSKpMSSnyUNsLI/L+QyORh67uE75nB86dk iwxZfXMk5+d9zT2BOWR+po82rU6Hdgn1erAHnbQ7hMDG7GQ+Bz99pOpIlAHo lD7YnTMmMatQORjFlXRqWlglqd7F3rcLsk/LMFoOQnLGPIBTR3ogbQYS+75I Eu6yfQWKiV/taOc9mE5Kg5gUCLWQEouxL6met1SHXkpgxzBHCgjZ0ZKsgFUd FEpRYkQiABa2gM7ZRGoJiAKpApROh2Q+4V+cgmjSIzzrKomaowWB6DbRnVdI qwRgsWNgGIeRaD4NHR8kvzLCxWh2xuolCQibaokmsslxYBNkMw0SlCQ3jORa IoERCwSZ5OFXGTgspj3jBpbWFRBTS/g4Zcj6NaPSov1sgNUiOEsiJUjYdFp4 5ixzhKvPORdZGzGQSQ/SaSPs6b/Gf4Tivxscaea8lHfGVTfzylQ9ZKmzgUwx lfhi1rrq6T1yn9dqq+mqXHAZYE8DKdfyBVVI0NmYQDtKvhdR3qA2riWl5MIQ bGzFP808LIfCm9dWWxtWMIk2Da9vVIYJ3EE8jhw407lTzktV9xeHpHm96wLx yrn5PMSvJ49cr48C0UDOQcme4f5Lt1qT4cb8fFR+QmxnwzWIHPddOhjdmfCO WYNh+gya6lLxK/SwoyD5ujSYszLB16dPGR576HKD2+bC2CMa9M7fTOubtnyi sM9520bPPl0c3MUTav3Lt5PFUt4jxepSKaPGpnJxiF248PhEXncC2dIoNuqY qGNhtltiGFw6cj18/6azGBTcqlA9QLMmNoG2Gls17bbK+GT3iT2WtnMjEdg0 3B/05fo3itmmcJMaCpWZhYxemsY2N0FmGwWR5Dx8TTbqXhegc1eVSUPxu02z mlURIphdN33SpY1I4Y4D1MqCZ7ljre4kY3LOsfcKQaxwIMupbcK+plYmvfiH wYVDd+qe3i6rCnXEaGQoxru6Fd4UR1gInhTAyMiLSVatX3Vds5vqjeuNU9t3 9rV7QI+xX0uH06VCp3JZ/iqhvxI22SImmQ4TyvFupjsdYlE7o5kx+vi6tqRR yJ9St3NNt+Ydspj1G4yJNBp6kMAD7wA8erm9KW93DPh6rG/Kpq2Dj0N+dFMS lJFP0NmWUFAu0njFJSpmCCBwv6QkAwNeDWO4OlMUkU4d0cdtEHZh8B5cAJiH 11P1yE4Qx+F8a7jnE6F/DNwfp9Mi2FT6Qp+aG0A3KK1L9Z9tPW27HrLayhzH TvVf5bT1V7zNm3RpsbQ0nyuFjLm8mtSy7xKdczjaDjwnr8ylLVtMnM355GYQ TEMaCX0OH5HwFzt7sTvAGP09+MMcwQoDMlowpMiwlVHFlzGxtJL3ZnNmV65w Fj1zxiq0w4Oe7b8+2D+awFWlBIBiJITpEA/qCymWFhijVC25cY1wWsetywyR ZElRpIV7IwpUa3s7Gw9UpVJEYAAQqAADQAOzp9F8vW7VIX9MHuY/H+XA/Upe JBzu2Sjv9gfBl8/HF0QuG6ewPYsRBSRrFxoCJgaTQOT50QE2lUUQfzC4BhoO 3OBBJ8jtPYGsJifYQmVFpjxHWVpwzQ4bieIGD0gdKbI9viinXwXgOCBfiiez fl5kYe1OEIoZ84cSaEaPjcQj3QHJO1JDtjtE2t8HgC8KpnZZDwFtTadcR+tO WFVWK9TTg9vLEW0WMMMtJYpLRXRkRkJ+iJZDcSvHxzg3Jc4smHmjDaxpGpIH C+7UWRNmpnBtCtNNTVXZkjWsI0zG0aZN2BLZIj345zdbCcLRsA4JOX5GxPUH hWM5xj4eFtLSNjcrEjFRsRUKkhZZCEKkiDMAhAmlEIQxEYiBSFIcAQIIElVZ SAOxMUAY8IE+mMnIMFQNe1exex580NDcOiVXEcYJuwsJx2NgMPsl8kqSVbh1 zmOlKsE6nr90jqVHKtY7VfWYhpW3gDzDzU20FLtKe0B7ERPUMoNjbYmO9K6X BDZfCF6CmHfwu89c/a5z+UTzesR/Ux9YbDsiY7LQTImTfg81gK2LqgJ+F1/D yijnieAGHATYxj40Nqj0tIaa6vGH7xiSzC5E2NjGNMYzLDCrfskIpm5TuRqk kmZuWo5cjDsh3eKQlJAkSTImBL3pfF0buul6NccVxGQ05crbaKVUqsRwQTPL rzd3kkEjy7pMiEmYc6TrumV15u8AQzL0GlVh6S1ZRs2mebJJGRr4CGrJZpUd /uMK9kCDQ9qI2mlIKMSAq6USAVoLbZJVSVUXPS4bW5rfG9SGFuyhxH+W1fjR K8eKC9yeTz2l4Zh1nCsZ86lvfQh/KSSONtMbG02/6qID3mrVtHdN1KGwCpxl HdnPuKMwOIkguoyeWFArEhgdxdG8OmGeNzZtt+RkszGThiwkWCVcr2wx4at8 SIbxiG9DMRjXV40Ucss8Xc3D2+hvmHqAJHwsfjq8AmwudMOTQx2fHW75ghxM 1lMXKgowgNjDGoj6VXqKyvbNl+mAV9LMC4wXoU8mg5rQJHhoFek4vLCmgGWQ ElHm022N67JZd7qvShEbXXS7oW2HwXbUf1ZzhvW0W8HlTuEaGHIIB9kPjz2l pJpd4RtHIkCCNgcNKjQHH3getelh1wifMK6awGmFEx14hXmBfCFkfLgb86Cq YeBenbGVJXpUjYYNdwIx6kg6t8q3gDXkrLkakPUx8WIaYTxCG/JFjQrJCMej VFUlt+asO2kvS4PpTxrzZF0B0lv4rPMWtzuuo/Fm44aDN5roUyDRpUEhpiGM BaEGnKE2g3JCypI6Y4XRaW50zrRsqNN686pqemuufUpCKBciFv0K/gLg1SGv gYI9DUL35uOk0dNMYdtLj2/m9sY7W3CSEkSQvInQDTFYwkfufVQVXYxpwdjG TjEgtO3PcJ38yY4O3BwECPI0uqa92KZaNpNoo2OXtb3S4wMB3KhgibMIaJQT lKodoaERmCRIG9ZtW3vNvdwhKKbRuppxRCKEWoApEapqyR2siOjG9KkhKcUk GOMIxI6VvSQY2rAskMtqKWRgcyRDUo8bGh7WAOoun2iyhvcJ1mdSzl5OESbs INQn4pRUz+iVYqSI5SevxkLYdrVx3MPrrwVoZEGrkGCMsSIhCSN/LzXQxuOo yLhJz3N/bbDpB7s6CKdFgDT8JqpEhCUKQpGGRKFRaQIwPQ+SGu0uHEYfgw9T yQ8N4CqMNPQAV2WI69pWeqadbt0A6dTwyLCwcXAwOlhZOW+VfwrZ9O1fXwAA AASEABEGAAAD9/3AAAAAAAAAFRiIoAAA7uNFAAAAAAAAAAUUBQAAAAAAAFXj 1qfZrT339O219ejsTrJNEpS+mMKi/Rj7Z0K7LrSJoCEOYh9cj3Eqpko/XIiG pK1ipNRjbxuWsaqLRbXi1XKLxauVbFqjQbUkFDEC0pQjtvenKr9rmpoI6bBr V0U2D9CgELGDmkbaV6aUQLMD6JvXKyRP1RKHgWX9KYsxhb40bDqGc4jMrxHp XasTyHgqJSVCHsMK17zde9R5GLxeZiHr5dg9c0pLpYqKn5Vu6pa8HwfKHV2I z0ON+CddzmfHNsYNDyRflS+Tp7z4x90pUGAnB/JkdbZTdGNXuKylDHvVUimI IMbHTMoI6GiVIJODMd1Bu2QpkeXWYBvVjeNUtkoqp3yb1xdZl1j6oAWdY0yc iCjgsIqisYubOrt+A/d47Qp6JoUoXslKSjIEpUKH1ypklAFMQow+i/Ns/hpR fulwLtKrpECknVIwM8oungIBTJQ1DNj80L1ELpNqcPnfM+w/QndBOJ7XbE9N eej2ymliLAIHo5Ig4m+9yKgz16fAjamAnwg2J8yOKt9Rh53UjXLFy479aHVy niUWNh1ReY8s6tctYN0SZUY222U09w86XF9u5fHyGOsEQoZdgBDIEskBYpQu BdDfsMe54WSsFJdCyQINWNIKMdAD3joDQeyEfWshPg9Q7zMPq9JwlSvqwXGV r3WQ1SlBABSExZEiaiWM/LIeMoif0lCpKqKNY1sm2mlpWmzSKSAtCQLIJFCS gyyIyDSBZjTiPGYlgLY8htpPYRo+m0B1mEbQZPjA+2VPbImRFkIcraUHkk/N EnV8vvfwjFSSfBla1I2eBwnEQ+ns/zj0HZQD3LHYwH7I+cvq8BF7VE7YRMCI kgFJFLwjEaRaSkSaRDwExEfDMAA70lVO1X4gI3xiPUHdLHLRoMX+Ky5okVDw hYtS9BW8uACiTyVPkExUO6p4op6z0pPkj3hyPqOqdDMOkZKtJosgMJXAmSGw FVf6oNLzDE5zRIJo7RzNmc/uOveeA+WmInlEPTED+yScGJeSuttH1y66Yz5s gllifmWH3WYr88WbJrG779AG2qkRaq03mW/fdlFVKvKx0QHU6Ike1BB0CmxS 1Inn+3RoKhMhaKVAxiHKaMTkgrOJ4h1gIKtePYQCKnzO4fZyTgL7KgjZ17K7 e8+OYuBNSUF3wmoQ1Cm4fw+KjBUqqM89vTHX6ApIqj/dhgQMFfZGMPiYdkaB aXgEVVeBCU6cJD2pCWoFhjBgyA6Q0qVH4k9fEQPWnqeX52TNvbkf9JU6FCJY kU9EjiUnIGDkBaQx+dFkGX26MLaFOIR+qfiC7QjTSGG12LB+pAVDtPmE95UV BXnGPnjgfrjuCERj9y4LcEmqCWL8k+7YI72UYTJJEA9G3XZjvXRhFLJ+K3eW mR/W8agOi9IdDWYhBTQM97297HLZO0dIIevhZL3mue0KWJD5ftZI7G/v0e4P qjdOklSL3IYKdsi7AQcdWPrlQNSkO8iNKUo90+2QdEj7ZAKlJKk3oxMFJ/Sz PwsMfzT07nOLQWzp1hwIn7w/idvuPLuKagu7W5EiUVYJSAlH53dnua3WPE7n VTeUdN5OPW+BGgEDwLe05nsIv9hN9eR6Qc9jocvvQ+3nCLF73HRBT3Fxe9z3 YnIn35Ag/dH8jmfE3wcCqe3FCwTIeXa5Vo+q1MW9TZtX0bCd8niD/Z8vU0ku ypvIU1TQtHMQlOYeHMVUPWIO3OwjVKfJ6mGvhOVST8foe9xDsjbhq0zRZ9V/ 5D/izmk38zBl0v99IT4hYhMC7iOJ0e2Q2HZRWh+ulwF3OWyDkDSHekcBLrme nQj9x9ZRiJ+WRNxPf98n3n3mrdZPj4/fpOJTgPXKyl7SbhYlQh9WHwsVks13 MFOElCgQ6fMRoUMpHolSC2bB/BVaSNUdXDeEypVqWejQMpw7hq8YlQGiIZ+s U7+pBoe6gcYJKqZs1aU6Sg7QqclRWUFUgRFMyEYKkaxDUWEakSMvNzjYrr4B iqdvJOgIi/jKKKcHRDgeS/Pavn9R97r8FrVfT6v1s/R3ASAAkQyAJEyHa8vP PO4IO7Db+Dq8VVgaA/OBm36Mc+VswlEESLhyVc5G8GaBNfR9xP5fic6NgTdD IUUIYZHqaXFw7PX5UhST7GRofADHONCqnthUDTNCEwEwzvNMSadGGpKE1aBj UYAsGISKwyK5MgUqshkuAgMSaSVDkkw8Tcc+sQfKT/P+AepX/m2399Z0UB9z wecZ1k0MxLCSUg+ZoBsA7WDaX0PtYvHw7yhSKRICQvQcjkwhSCQVLplzFpYF fMYfq82SJA/4H+k/tpXzUw8q9tq2xeq0aTRqHCEFMXKwqgiH0fBnnaM2aJnA 7pjD9tc7m4Z/DURCMTz2YzbpRBjq3eFvW4PNXELNwoq0SeCZG2/N9gzW0ItQ jS1F78FywUtjX5MWu79Xv+j3ZmenuHGRyOfCTg4W3KZ3ZwNdOQ+NCcSpV3hw 9tr3/DKwYCxvyodGUjPpRHJ8qQdXh8t3Gj2usminyP2z0rU/meMInKykQ+Or 4cu1H3hpGMU7O/snwZTWxdqkEMKaPTVB/dy/qddmuMWLxanSwuZxtg2x6Nts czLDL97gVGhtoY2DGGmV70BzO2HR2SxM3GG/jtss2rIl7C/wNqNwdl4C6KgX GDNjEdmikhA0ftl1eHpemFiKQceKk1uVTHTyy8p45eaTqMOO+Kz5zGkgyMJ/ h393XbHLJ7Pjoh0rx/jrEX32DBpzvO/r68uy8N4brY84l61053GxdlEew9yQ dyZEdDURyYXukg794zNksnFGXpj//F3JFOFCQBXn6Pg= --=-=-=--