Received: by 2002:a25:ad19:0:0:0:0:0 with SMTP id y25csp4455620ybi; Fri, 19 Jul 2019 23:17:51 -0700 (PDT) X-Google-Smtp-Source: APXvYqytcszAJR1QZ1c3qxkU+p5t4Vz/mUJlOz1X8AIhBg9Kxbnjf1Uketz+TtIX8DTk2nnOBzZz X-Received: by 2002:a17:902:54d:: with SMTP id 71mr60084172plf.140.1563603471205; Fri, 19 Jul 2019 23:17:51 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1563603471; cv=none; d=google.com; s=arc-20160816; b=xC8hbmRSvOvZfH4V04j5Gx5zHiJGWfnYbQCdhksh5Otn64+nopxP82cvMyrNP1UtwY AVXL5zBykv1rZVtQnBrWGwahY5nbedANwrsmmD5XD4PXA7k/EpoLKOoZoHUFHzdUNQQi pjNu1rZtOl0x4v0i5g42paKTMNipO8QRKH2Hio2Qo/bKeNyx/PwuVLHoypSQlRp5DcJp 5FP399hHbO+yNjMt9W006Uj/ZbWUdFcw/5Mpf+xX7NSjLO6QrIBFJd0cMudNwOXRk1jF McEXFQ//AiwaCvCIciRC8LdFLQyEp+R+PR3ZHAb5a9GwgEu/zKroV53Hg6MuAl1a2VZF GyeA== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-id:precedence:sender:user-agent:in-reply-to :content-transfer-encoding:content-disposition:mime-version :references:message-id:subject:cc:to:from:date; bh=pNH3Gaa/K1AREHJrvvP4E3N+Svn6oJHbbym1Zrdeq2M=; b=sgAVxfEwgUNbmbPxYZdCFoUUv4ZD8RBPTSP2M7rWKG0NL6dFFb/5ndRbovPJJmvMnv fvH8Nb50HAz8r7LD7ZfQV0q7KvcXIuCrDz1A3S3PROOTd4Zco+kL8ck029VUZXgweMps pHJEWLJ5BDasZA71ZcVh5sktvOEW78TWZwFCa3nN2XARQZ6PPyH1sMU1oq1cznunMBTX 5kA7NSPInYP68C1gKUJbZN6rcw4Z6NR6BfwVZ9aDYazXYWpmKC6TULy12feFiuC+NmLw WEkHnJd3fJrPQEcGKPMG6KiE+mCa20q4ch7+5ECVuTEbyroTy2I5bEhhDTrU5oaHOZYn LcZA== ARC-Authentication-Results: i=1; mx.google.com; spf=pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Return-Path: Received: from vger.kernel.org (vger.kernel.org. [209.132.180.67]) by mx.google.com with ESMTP id r17si3313159pgj.259.2019.07.19.23.17.14; Fri, 19 Jul 2019 23:17:51 -0700 (PDT) Received-SPF: pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) client-ip=209.132.180.67; Authentication-Results: mx.google.com; spf=pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S2388542AbfGSVHf (ORCPT + 99 others); Fri, 19 Jul 2019 17:07:35 -0400 Received: from mga17.intel.com ([192.55.52.151]:24013 "EHLO mga17.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1728816AbfGSVHf (ORCPT ); Fri, 19 Jul 2019 17:07:35 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga001.fm.intel.com ([10.253.24.23]) by fmsmga107.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 19 Jul 2019 14:07:26 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.64,283,1559545200"; d="gz'50?scan'50,208,50";a="188083497" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga001.fm.intel.com with ESMTP; 19 Jul 2019 14:07:23 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1hoa66-000EoI-Pb; Sat, 20 Jul 2019 05:07:22 +0800 Date: Sat, 20 Jul 2019 05:07:05 +0800 From: kbuild test robot To: Zeng Tao Cc: kbuild-all@01.org, prime.zeng@hisilicon.com, kishon@ti.com, Maxime Ripard , Chen-Yu Tsai , Paul Kocialkowski , Sakari Ailus , linux-kernel@vger.kernel.org, linux-arm-kernel@lists.infradead.org Subject: Re: [PATCH] phy: Change the configuration interface param to void* to make it more general Message-ID: <201907200535.97qvTJWr%lkp@intel.com> References: <1562868255-31467-1-git-send-email-prime.zeng@hisilicon.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="xzyzecjmepsobhuc" Content-Disposition: inline Content-Transfer-Encoding: 8bit In-Reply-To: <1562868255-31467-1-git-send-email-prime.zeng@hisilicon.com> X-Patchwork-Hint: ignore User-Agent: NeoMutt/20170113 (1.7.2) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --xzyzecjmepsobhuc Content-Type: text/plain; charset=unknown-8bit Content-Disposition: inline Content-Transfer-Encoding: 8bit Hi Zeng, Thank you for the patch! Yet something to improve: [auto build test ERROR on linus/master] [cannot apply to v5.2 next-20190719] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Zeng-Tao/phy-Change-the-configuration-interface-param-to-void-to-make-it-more-general/20190713-213420 config: arm64-allmodconfig (attached as .config) compiler: aarch64-linux-gcc (GCC) 7.4.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=7.4.0 make.cross ARCH=arm64 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c: In function 'sun6i_dsi_encoder_enable': >> drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c:720:8: error: variable 'opts' has initializer but incomplete type union phy_configure_opts opts = { 0 }; ^~~~~~~~~~~~~~~~~~ drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c:720:36: warning: excess elements in union initializer union phy_configure_opts opts = { 0 }; ^ drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c:720:36: note: (near initialization for 'opts') >> drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c:720:27: error: storage size of 'opts' isn't known union phy_configure_opts opts = { 0 }; ^~~~ drivers/gpu/drm/sun4i/sun6i_mipi_dsi.c:720:27: warning: unused variable 'opts' [-Wunused-variable] -- >> drivers/gpu/drm/bridge/cdns-dsi.c:431:27: error: field 'phy_opts' has incomplete type union phy_configure_opts phy_opts; ^~~~~~~~ -- drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:155:16: warning: 'struct phy_configure_opts_mipi_dphy' declared inside parameter list will not be visible outside of this definition or declaration struct phy_configure_opts_mipi_dphy *dphy_opts, ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: In function 'mixel_dphy_config_from_opts': >> drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:165:15: error: dereferencing pointer to incomplete type 'struct phy_configure_opts_mipi_dphy' if (dphy_opts->hs_clk_rate > DATA_RATE_MAX_SPEED || ^~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: At top level: drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:320:56: warning: 'union phy_configure_opts' declared inside parameter list will not be visible outside of this definition or declaration static int mixel_dphy_configure(struct phy *phy, union phy_configure_opts *opts) ^~~~~~~~~~~~~~~~~~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: In function 'mixel_dphy_configure': >> drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:326:46: error: dereferencing pointer to incomplete type 'union phy_configure_opts' ret = mixel_dphy_config_from_opts(phy, &opts->mipi_dphy, &cfg); ^~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: At top level: drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:349:17: warning: 'union phy_configure_opts' declared inside parameter list will not be visible outside of this definition or declaration union phy_configure_opts *opts) ^~~~~~~~~~~~~~~~~~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: In function 'mixel_dphy_validate': drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:356:47: error: dereferencing pointer to incomplete type 'union phy_configure_opts' return mixel_dphy_config_from_opts(phy, &opts->mipi_dphy, &cfg); ^~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: At top level: >> drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:419:15: error: initialization from incompatible pointer type [-Werror=incompatible-pointer-types] .configure = mixel_dphy_configure, ^~~~~~~~~~~~~~~~~~~~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:419:15: note: (near initialization for 'mixel_dphy_phy_ops.configure') drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:420:14: error: initialization from incompatible pointer type [-Werror=incompatible-pointer-types] .validate = mixel_dphy_validate, ^~~~~~~~~~~~~~~~~~~ drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:420:14: note: (near initialization for 'mixel_dphy_phy_ops.validate') drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c: In function 'mixel_dphy_validate': drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c:357:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ cc1: some warnings being treated as errors vim +165 drivers/phy/freescale/phy-fsl-imx8-mipi-dphy.c f4c8116e294b12c Guido Günther 2019-06-20 153 f4c8116e294b12c Guido Günther 2019-06-20 154 static int mixel_dphy_config_from_opts(struct phy *phy, f4c8116e294b12c Guido Günther 2019-06-20 @155 struct phy_configure_opts_mipi_dphy *dphy_opts, f4c8116e294b12c Guido Günther 2019-06-20 156 struct mixel_dphy_cfg *cfg) f4c8116e294b12c Guido Günther 2019-06-20 157 { f4c8116e294b12c Guido Günther 2019-06-20 158 struct mixel_dphy_priv *priv = dev_get_drvdata(phy->dev.parent); f4c8116e294b12c Guido Günther 2019-06-20 159 unsigned long ref_clk = clk_get_rate(priv->phy_ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 160 u32 lp_t, numerator, denominator; f4c8116e294b12c Guido Günther 2019-06-20 161 unsigned long long tmp; f4c8116e294b12c Guido Günther 2019-06-20 162 u32 n; f4c8116e294b12c Guido Günther 2019-06-20 163 int i; f4c8116e294b12c Guido Günther 2019-06-20 164 f4c8116e294b12c Guido Günther 2019-06-20 @165 if (dphy_opts->hs_clk_rate > DATA_RATE_MAX_SPEED || f4c8116e294b12c Guido Günther 2019-06-20 166 dphy_opts->hs_clk_rate < DATA_RATE_MIN_SPEED) f4c8116e294b12c Guido Günther 2019-06-20 167 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 168 f4c8116e294b12c Guido Günther 2019-06-20 169 numerator = dphy_opts->hs_clk_rate; f4c8116e294b12c Guido Günther 2019-06-20 170 denominator = ref_clk; f4c8116e294b12c Guido Günther 2019-06-20 171 get_best_ratio(&numerator, &denominator, 255, 256); f4c8116e294b12c Guido Günther 2019-06-20 172 if (!numerator || !denominator) { f4c8116e294b12c Guido Günther 2019-06-20 173 dev_err(&phy->dev, "Invalid %d/%d for %ld/%ld\n", f4c8116e294b12c Guido Günther 2019-06-20 174 numerator, denominator, f4c8116e294b12c Guido Günther 2019-06-20 175 dphy_opts->hs_clk_rate, ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 176 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 177 } f4c8116e294b12c Guido Günther 2019-06-20 178 f4c8116e294b12c Guido Günther 2019-06-20 179 while ((numerator < 16) && (denominator <= 128)) { f4c8116e294b12c Guido Günther 2019-06-20 180 numerator <<= 1; f4c8116e294b12c Guido Günther 2019-06-20 181 denominator <<= 1; f4c8116e294b12c Guido Günther 2019-06-20 182 } f4c8116e294b12c Guido Günther 2019-06-20 183 /* f4c8116e294b12c Guido Günther 2019-06-20 184 * CM ranges between 16 and 255 f4c8116e294b12c Guido Günther 2019-06-20 185 * CN ranges between 1 and 32 f4c8116e294b12c Guido Günther 2019-06-20 186 * CO is power of 2: 1, 2, 4, 8 f4c8116e294b12c Guido Günther 2019-06-20 187 */ f4c8116e294b12c Guido Günther 2019-06-20 188 i = __ffs(denominator); f4c8116e294b12c Guido Günther 2019-06-20 189 if (i > 3) f4c8116e294b12c Guido Günther 2019-06-20 190 i = 3; f4c8116e294b12c Guido Günther 2019-06-20 191 cfg->cn = denominator >> i; f4c8116e294b12c Guido Günther 2019-06-20 192 cfg->co = 1 << i; f4c8116e294b12c Guido Günther 2019-06-20 193 cfg->cm = numerator; f4c8116e294b12c Guido Günther 2019-06-20 194 f4c8116e294b12c Guido Günther 2019-06-20 195 if (cfg->cm < 16 || cfg->cm > 255 || f4c8116e294b12c Guido Günther 2019-06-20 196 cfg->cn < 1 || cfg->cn > 32 || f4c8116e294b12c Guido Günther 2019-06-20 197 cfg->co < 1 || cfg->co > 8) { f4c8116e294b12c Guido Günther 2019-06-20 198 dev_err(&phy->dev, "Invalid CM/CN/CO values: %u/%u/%u\n", f4c8116e294b12c Guido Günther 2019-06-20 199 cfg->cm, cfg->cn, cfg->co); f4c8116e294b12c Guido Günther 2019-06-20 200 dev_err(&phy->dev, "for hs_clk/ref_clk=%ld/%ld ~ %d/%d\n", f4c8116e294b12c Guido Günther 2019-06-20 201 dphy_opts->hs_clk_rate, ref_clk, f4c8116e294b12c Guido Günther 2019-06-20 202 numerator, denominator); f4c8116e294b12c Guido Günther 2019-06-20 203 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 204 } f4c8116e294b12c Guido Günther 2019-06-20 205 f4c8116e294b12c Guido Günther 2019-06-20 206 dev_dbg(&phy->dev, "hs_clk/ref_clk=%ld/%ld ~ %d/%d\n", f4c8116e294b12c Guido Günther 2019-06-20 207 dphy_opts->hs_clk_rate, ref_clk, numerator, denominator); f4c8116e294b12c Guido Günther 2019-06-20 208 f4c8116e294b12c Guido Günther 2019-06-20 209 /* LP clock period */ f4c8116e294b12c Guido Günther 2019-06-20 210 tmp = 1000000000000LL; f4c8116e294b12c Guido Günther 2019-06-20 211 do_div(tmp, dphy_opts->lp_clk_rate); /* ps */ f4c8116e294b12c Guido Günther 2019-06-20 212 if (tmp > ULONG_MAX) f4c8116e294b12c Guido Günther 2019-06-20 213 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 214 f4c8116e294b12c Guido Günther 2019-06-20 215 lp_t = tmp; f4c8116e294b12c Guido Günther 2019-06-20 216 dev_dbg(&phy->dev, "LP clock %lu, period: %u ps\n", f4c8116e294b12c Guido Günther 2019-06-20 217 dphy_opts->lp_clk_rate, lp_t); f4c8116e294b12c Guido Günther 2019-06-20 218 f4c8116e294b12c Guido Günther 2019-06-20 219 /* hs_prepare: in lp clock periods */ f4c8116e294b12c Guido Günther 2019-06-20 220 if (2 * dphy_opts->hs_prepare > 5 * lp_t) { f4c8116e294b12c Guido Günther 2019-06-20 221 dev_err(&phy->dev, f4c8116e294b12c Guido Günther 2019-06-20 222 "hs_prepare (%u) > 2.5 * lp clock period (%u)\n", f4c8116e294b12c Guido Günther 2019-06-20 223 dphy_opts->hs_prepare, lp_t); f4c8116e294b12c Guido Günther 2019-06-20 224 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 225 } f4c8116e294b12c Guido Günther 2019-06-20 226 /* 00: lp_t, 01: 1.5 * lp_t, 10: 2 * lp_t, 11: 2.5 * lp_t */ f4c8116e294b12c Guido Günther 2019-06-20 227 if (dphy_opts->hs_prepare < lp_t) { f4c8116e294b12c Guido Günther 2019-06-20 228 n = 0; f4c8116e294b12c Guido Günther 2019-06-20 229 } else { f4c8116e294b12c Guido Günther 2019-06-20 230 tmp = 2 * (dphy_opts->hs_prepare - lp_t); f4c8116e294b12c Guido Günther 2019-06-20 231 do_div(tmp, lp_t); f4c8116e294b12c Guido Günther 2019-06-20 232 n = tmp; f4c8116e294b12c Guido Günther 2019-06-20 233 } f4c8116e294b12c Guido Günther 2019-06-20 234 cfg->m_prg_hs_prepare = n; f4c8116e294b12c Guido Günther 2019-06-20 235 f4c8116e294b12c Guido Günther 2019-06-20 236 /* clk_prepare: in lp clock periods */ f4c8116e294b12c Guido Günther 2019-06-20 237 if (2 * dphy_opts->clk_prepare > 3 * lp_t) { f4c8116e294b12c Guido Günther 2019-06-20 238 dev_err(&phy->dev, f4c8116e294b12c Guido Günther 2019-06-20 239 "clk_prepare (%u) > 1.5 * lp clock period (%u)\n", f4c8116e294b12c Guido Günther 2019-06-20 240 dphy_opts->clk_prepare, lp_t); f4c8116e294b12c Guido Günther 2019-06-20 241 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 242 } f4c8116e294b12c Guido Günther 2019-06-20 243 /* 00: lp_t, 01: 1.5 * lp_t */ f4c8116e294b12c Guido Günther 2019-06-20 244 cfg->mc_prg_hs_prepare = dphy_opts->clk_prepare > lp_t ? 1 : 0; f4c8116e294b12c Guido Günther 2019-06-20 245 f4c8116e294b12c Guido Günther 2019-06-20 246 /* hs_zero: formula from NXP BSP */ f4c8116e294b12c Guido Günther 2019-06-20 247 n = (144 * (dphy_opts->hs_clk_rate / 1000000) - 47500) / 10000; f4c8116e294b12c Guido Günther 2019-06-20 248 cfg->m_prg_hs_zero = n < 1 ? 1 : n; f4c8116e294b12c Guido Günther 2019-06-20 249 f4c8116e294b12c Guido Günther 2019-06-20 250 /* clk_zero: formula from NXP BSP */ f4c8116e294b12c Guido Günther 2019-06-20 251 n = (34 * (dphy_opts->hs_clk_rate / 1000000) - 2500) / 1000; f4c8116e294b12c Guido Günther 2019-06-20 252 cfg->mc_prg_hs_zero = n < 1 ? 1 : n; f4c8116e294b12c Guido Günther 2019-06-20 253 f4c8116e294b12c Guido Günther 2019-06-20 254 /* clk_trail, hs_trail: formula from NXP BSP */ f4c8116e294b12c Guido Günther 2019-06-20 255 n = (103 * (dphy_opts->hs_clk_rate / 1000000) + 10000) / 10000; f4c8116e294b12c Guido Günther 2019-06-20 256 if (n > 15) f4c8116e294b12c Guido Günther 2019-06-20 257 n = 15; f4c8116e294b12c Guido Günther 2019-06-20 258 if (n < 1) f4c8116e294b12c Guido Günther 2019-06-20 259 n = 1; f4c8116e294b12c Guido Günther 2019-06-20 260 cfg->m_prg_hs_trail = n; f4c8116e294b12c Guido Günther 2019-06-20 261 cfg->mc_prg_hs_trail = n; f4c8116e294b12c Guido Günther 2019-06-20 262 f4c8116e294b12c Guido Günther 2019-06-20 263 /* rxhs_settle: formula from NXP BSP */ f4c8116e294b12c Guido Günther 2019-06-20 264 if (dphy_opts->hs_clk_rate < MBPS(80)) f4c8116e294b12c Guido Günther 2019-06-20 265 cfg->rxhs_settle = 0x0d; f4c8116e294b12c Guido Günther 2019-06-20 266 else if (dphy_opts->hs_clk_rate < MBPS(90)) f4c8116e294b12c Guido Günther 2019-06-20 267 cfg->rxhs_settle = 0x0c; f4c8116e294b12c Guido Günther 2019-06-20 268 else if (dphy_opts->hs_clk_rate < MBPS(125)) f4c8116e294b12c Guido Günther 2019-06-20 269 cfg->rxhs_settle = 0x0b; f4c8116e294b12c Guido Günther 2019-06-20 270 else if (dphy_opts->hs_clk_rate < MBPS(150)) f4c8116e294b12c Guido Günther 2019-06-20 271 cfg->rxhs_settle = 0x0a; f4c8116e294b12c Guido Günther 2019-06-20 272 else if (dphy_opts->hs_clk_rate < MBPS(225)) f4c8116e294b12c Guido Günther 2019-06-20 273 cfg->rxhs_settle = 0x09; f4c8116e294b12c Guido Günther 2019-06-20 274 else if (dphy_opts->hs_clk_rate < MBPS(500)) f4c8116e294b12c Guido Günther 2019-06-20 275 cfg->rxhs_settle = 0x08; f4c8116e294b12c Guido Günther 2019-06-20 276 else f4c8116e294b12c Guido Günther 2019-06-20 277 cfg->rxhs_settle = 0x07; f4c8116e294b12c Guido Günther 2019-06-20 278 f4c8116e294b12c Guido Günther 2019-06-20 279 dev_dbg(&phy->dev, "phy_config: %u %u %u %u %u %u %u\n", f4c8116e294b12c Guido Günther 2019-06-20 280 cfg->m_prg_hs_prepare, cfg->mc_prg_hs_prepare, f4c8116e294b12c Guido Günther 2019-06-20 281 cfg->m_prg_hs_zero, cfg->mc_prg_hs_zero, f4c8116e294b12c Guido Günther 2019-06-20 282 cfg->m_prg_hs_trail, cfg->mc_prg_hs_trail, f4c8116e294b12c Guido Günther 2019-06-20 283 cfg->rxhs_settle); f4c8116e294b12c Guido Günther 2019-06-20 284 f4c8116e294b12c Guido Günther 2019-06-20 285 return 0; f4c8116e294b12c Guido Günther 2019-06-20 286 } f4c8116e294b12c Guido Günther 2019-06-20 287 f4c8116e294b12c Guido Günther 2019-06-20 288 static void mixel_phy_set_hs_timings(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 289 { f4c8116e294b12c Guido Günther 2019-06-20 290 struct mixel_dphy_priv *priv = phy_get_drvdata(phy); f4c8116e294b12c Guido Günther 2019-06-20 291 f4c8116e294b12c Guido Günther 2019-06-20 292 phy_write(phy, priv->cfg.m_prg_hs_prepare, DPHY_M_PRG_HS_PREPARE); f4c8116e294b12c Guido Günther 2019-06-20 293 phy_write(phy, priv->cfg.mc_prg_hs_prepare, DPHY_MC_PRG_HS_PREPARE); f4c8116e294b12c Guido Günther 2019-06-20 294 phy_write(phy, priv->cfg.m_prg_hs_zero, DPHY_M_PRG_HS_ZERO); f4c8116e294b12c Guido Günther 2019-06-20 295 phy_write(phy, priv->cfg.mc_prg_hs_zero, DPHY_MC_PRG_HS_ZERO); f4c8116e294b12c Guido Günther 2019-06-20 296 phy_write(phy, priv->cfg.m_prg_hs_trail, DPHY_M_PRG_HS_TRAIL); f4c8116e294b12c Guido Günther 2019-06-20 297 phy_write(phy, priv->cfg.mc_prg_hs_trail, DPHY_MC_PRG_HS_TRAIL); f4c8116e294b12c Guido Günther 2019-06-20 298 phy_write(phy, priv->cfg.rxhs_settle, priv->devdata->reg_rxhs_settle); f4c8116e294b12c Guido Günther 2019-06-20 299 } f4c8116e294b12c Guido Günther 2019-06-20 300 f4c8116e294b12c Guido Günther 2019-06-20 301 static int mixel_dphy_set_pll_params(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 302 { f4c8116e294b12c Guido Günther 2019-06-20 303 struct mixel_dphy_priv *priv = dev_get_drvdata(phy->dev.parent); f4c8116e294b12c Guido Günther 2019-06-20 304 f4c8116e294b12c Guido Günther 2019-06-20 305 if (priv->cfg.cm < 16 || priv->cfg.cm > 255 || f4c8116e294b12c Guido Günther 2019-06-20 306 priv->cfg.cn < 1 || priv->cfg.cn > 32 || f4c8116e294b12c Guido Günther 2019-06-20 307 priv->cfg.co < 1 || priv->cfg.co > 8) { f4c8116e294b12c Guido Günther 2019-06-20 308 dev_err(&phy->dev, "Invalid CM/CN/CO values! (%u/%u/%u)\n", f4c8116e294b12c Guido Günther 2019-06-20 309 priv->cfg.cm, priv->cfg.cn, priv->cfg.co); f4c8116e294b12c Guido Günther 2019-06-20 310 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 311 } f4c8116e294b12c Guido Günther 2019-06-20 312 dev_dbg(&phy->dev, "Using CM:%u CN:%u CO:%u\n", f4c8116e294b12c Guido Günther 2019-06-20 313 priv->cfg.cm, priv->cfg.cn, priv->cfg.co); f4c8116e294b12c Guido Günther 2019-06-20 314 phy_write(phy, CM(priv->cfg.cm), DPHY_CM); f4c8116e294b12c Guido Günther 2019-06-20 315 phy_write(phy, CN(priv->cfg.cn), DPHY_CN); f4c8116e294b12c Guido Günther 2019-06-20 316 phy_write(phy, CO(priv->cfg.co), DPHY_CO); f4c8116e294b12c Guido Günther 2019-06-20 317 return 0; f4c8116e294b12c Guido Günther 2019-06-20 318 } f4c8116e294b12c Guido Günther 2019-06-20 319 f4c8116e294b12c Guido Günther 2019-06-20 320 static int mixel_dphy_configure(struct phy *phy, union phy_configure_opts *opts) f4c8116e294b12c Guido Günther 2019-06-20 321 { f4c8116e294b12c Guido Günther 2019-06-20 322 struct mixel_dphy_priv *priv = phy_get_drvdata(phy); f4c8116e294b12c Guido Günther 2019-06-20 323 struct mixel_dphy_cfg cfg = { 0 }; f4c8116e294b12c Guido Günther 2019-06-20 324 int ret; f4c8116e294b12c Guido Günther 2019-06-20 325 f4c8116e294b12c Guido Günther 2019-06-20 @326 ret = mixel_dphy_config_from_opts(phy, &opts->mipi_dphy, &cfg); f4c8116e294b12c Guido Günther 2019-06-20 327 if (ret) f4c8116e294b12c Guido Günther 2019-06-20 328 return ret; f4c8116e294b12c Guido Günther 2019-06-20 329 f4c8116e294b12c Guido Günther 2019-06-20 330 /* Update the configuration */ f4c8116e294b12c Guido Günther 2019-06-20 331 memcpy(&priv->cfg, &cfg, sizeof(struct mixel_dphy_cfg)); f4c8116e294b12c Guido Günther 2019-06-20 332 f4c8116e294b12c Guido Günther 2019-06-20 333 phy_write(phy, 0x00, DPHY_LOCK_BYP); f4c8116e294b12c Guido Günther 2019-06-20 334 phy_write(phy, 0x01, priv->devdata->reg_tx_rcal); f4c8116e294b12c Guido Günther 2019-06-20 335 phy_write(phy, 0x00, priv->devdata->reg_auto_pd_en); f4c8116e294b12c Guido Günther 2019-06-20 336 phy_write(phy, 0x02, priv->devdata->reg_rxlprp); f4c8116e294b12c Guido Günther 2019-06-20 337 phy_write(phy, 0x02, priv->devdata->reg_rxcdrp); f4c8116e294b12c Guido Günther 2019-06-20 338 phy_write(phy, 0x25, DPHY_TST); f4c8116e294b12c Guido Günther 2019-06-20 339 f4c8116e294b12c Guido Günther 2019-06-20 340 mixel_phy_set_hs_timings(phy); f4c8116e294b12c Guido Günther 2019-06-20 341 ret = mixel_dphy_set_pll_params(phy); f4c8116e294b12c Guido Günther 2019-06-20 342 if (ret < 0) f4c8116e294b12c Guido Günther 2019-06-20 343 return ret; f4c8116e294b12c Guido Günther 2019-06-20 344 f4c8116e294b12c Guido Günther 2019-06-20 345 return 0; f4c8116e294b12c Guido Günther 2019-06-20 346 } f4c8116e294b12c Guido Günther 2019-06-20 347 f4c8116e294b12c Guido Günther 2019-06-20 348 static int mixel_dphy_validate(struct phy *phy, enum phy_mode mode, int submode, f4c8116e294b12c Guido Günther 2019-06-20 @349 union phy_configure_opts *opts) f4c8116e294b12c Guido Günther 2019-06-20 350 { f4c8116e294b12c Guido Günther 2019-06-20 351 struct mixel_dphy_cfg cfg = { 0 }; f4c8116e294b12c Guido Günther 2019-06-20 352 f4c8116e294b12c Guido Günther 2019-06-20 353 if (mode != PHY_MODE_MIPI_DPHY) f4c8116e294b12c Guido Günther 2019-06-20 354 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 355 f4c8116e294b12c Guido Günther 2019-06-20 356 return mixel_dphy_config_from_opts(phy, &opts->mipi_dphy, &cfg); f4c8116e294b12c Guido Günther 2019-06-20 357 } f4c8116e294b12c Guido Günther 2019-06-20 358 f4c8116e294b12c Guido Günther 2019-06-20 359 static int mixel_dphy_init(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 360 { f4c8116e294b12c Guido Günther 2019-06-20 361 phy_write(phy, PWR_OFF, DPHY_PD_PLL); f4c8116e294b12c Guido Günther 2019-06-20 362 phy_write(phy, PWR_OFF, DPHY_PD_DPHY); f4c8116e294b12c Guido Günther 2019-06-20 363 f4c8116e294b12c Guido Günther 2019-06-20 364 return 0; f4c8116e294b12c Guido Günther 2019-06-20 365 } f4c8116e294b12c Guido Günther 2019-06-20 366 f4c8116e294b12c Guido Günther 2019-06-20 367 static int mixel_dphy_exit(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 368 { f4c8116e294b12c Guido Günther 2019-06-20 369 phy_write(phy, 0, DPHY_CM); f4c8116e294b12c Guido Günther 2019-06-20 370 phy_write(phy, 0, DPHY_CN); f4c8116e294b12c Guido Günther 2019-06-20 371 phy_write(phy, 0, DPHY_CO); f4c8116e294b12c Guido Günther 2019-06-20 372 f4c8116e294b12c Guido Günther 2019-06-20 373 return 0; f4c8116e294b12c Guido Günther 2019-06-20 374 } f4c8116e294b12c Guido Günther 2019-06-20 375 f4c8116e294b12c Guido Günther 2019-06-20 376 static int mixel_dphy_power_on(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 377 { f4c8116e294b12c Guido Günther 2019-06-20 378 struct mixel_dphy_priv *priv = phy_get_drvdata(phy); f4c8116e294b12c Guido Günther 2019-06-20 379 u32 locked; f4c8116e294b12c Guido Günther 2019-06-20 380 int ret; f4c8116e294b12c Guido Günther 2019-06-20 381 f4c8116e294b12c Guido Günther 2019-06-20 382 ret = clk_prepare_enable(priv->phy_ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 383 if (ret < 0) f4c8116e294b12c Guido Günther 2019-06-20 384 return ret; f4c8116e294b12c Guido Günther 2019-06-20 385 f4c8116e294b12c Guido Günther 2019-06-20 386 phy_write(phy, PWR_ON, DPHY_PD_PLL); f4c8116e294b12c Guido Günther 2019-06-20 387 ret = regmap_read_poll_timeout(priv->regmap, DPHY_LOCK, locked, f4c8116e294b12c Guido Günther 2019-06-20 388 locked, PLL_LOCK_SLEEP, f4c8116e294b12c Guido Günther 2019-06-20 389 PLL_LOCK_TIMEOUT); f4c8116e294b12c Guido Günther 2019-06-20 390 if (ret < 0) { f4c8116e294b12c Guido Günther 2019-06-20 391 dev_err(&phy->dev, "Could not get DPHY lock (%d)!\n", ret); f4c8116e294b12c Guido Günther 2019-06-20 392 goto clock_disable; f4c8116e294b12c Guido Günther 2019-06-20 393 } f4c8116e294b12c Guido Günther 2019-06-20 394 phy_write(phy, PWR_ON, DPHY_PD_DPHY); f4c8116e294b12c Guido Günther 2019-06-20 395 f4c8116e294b12c Guido Günther 2019-06-20 396 return 0; f4c8116e294b12c Guido Günther 2019-06-20 397 clock_disable: f4c8116e294b12c Guido Günther 2019-06-20 398 clk_disable_unprepare(priv->phy_ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 399 return ret; f4c8116e294b12c Guido Günther 2019-06-20 400 } f4c8116e294b12c Guido Günther 2019-06-20 401 f4c8116e294b12c Guido Günther 2019-06-20 402 static int mixel_dphy_power_off(struct phy *phy) f4c8116e294b12c Guido Günther 2019-06-20 403 { f4c8116e294b12c Guido Günther 2019-06-20 404 struct mixel_dphy_priv *priv = phy_get_drvdata(phy); f4c8116e294b12c Guido Günther 2019-06-20 405 f4c8116e294b12c Guido Günther 2019-06-20 406 phy_write(phy, PWR_OFF, DPHY_PD_PLL); f4c8116e294b12c Guido Günther 2019-06-20 407 phy_write(phy, PWR_OFF, DPHY_PD_DPHY); f4c8116e294b12c Guido Günther 2019-06-20 408 f4c8116e294b12c Guido Günther 2019-06-20 409 clk_disable_unprepare(priv->phy_ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 410 f4c8116e294b12c Guido Günther 2019-06-20 411 return 0; f4c8116e294b12c Guido Günther 2019-06-20 412 } f4c8116e294b12c Guido Günther 2019-06-20 413 f4c8116e294b12c Guido Günther 2019-06-20 414 static const struct phy_ops mixel_dphy_phy_ops = { f4c8116e294b12c Guido Günther 2019-06-20 415 .init = mixel_dphy_init, f4c8116e294b12c Guido Günther 2019-06-20 416 .exit = mixel_dphy_exit, f4c8116e294b12c Guido Günther 2019-06-20 417 .power_on = mixel_dphy_power_on, f4c8116e294b12c Guido Günther 2019-06-20 418 .power_off = mixel_dphy_power_off, f4c8116e294b12c Guido Günther 2019-06-20 419 .configure = mixel_dphy_configure, f4c8116e294b12c Guido Günther 2019-06-20 420 .validate = mixel_dphy_validate, f4c8116e294b12c Guido Günther 2019-06-20 421 .owner = THIS_MODULE, f4c8116e294b12c Guido Günther 2019-06-20 422 }; f4c8116e294b12c Guido Günther 2019-06-20 423 f4c8116e294b12c Guido Günther 2019-06-20 424 static const struct of_device_id mixel_dphy_of_match[] = { f4c8116e294b12c Guido Günther 2019-06-20 425 { .compatible = "fsl,imx8mq-mipi-dphy", f4c8116e294b12c Guido Günther 2019-06-20 426 .data = &mixel_dphy_devdata[MIXEL_IMX8MQ] }, f4c8116e294b12c Guido Günther 2019-06-20 427 { /* sentinel */ }, f4c8116e294b12c Guido Günther 2019-06-20 428 }; f4c8116e294b12c Guido Günther 2019-06-20 429 MODULE_DEVICE_TABLE(of, mixel_dphy_of_match); f4c8116e294b12c Guido Günther 2019-06-20 430 f4c8116e294b12c Guido Günther 2019-06-20 431 static int mixel_dphy_probe(struct platform_device *pdev) f4c8116e294b12c Guido Günther 2019-06-20 432 { f4c8116e294b12c Guido Günther 2019-06-20 433 struct device *dev = &pdev->dev; f4c8116e294b12c Guido Günther 2019-06-20 434 struct device_node *np = dev->of_node; f4c8116e294b12c Guido Günther 2019-06-20 435 struct phy_provider *phy_provider; f4c8116e294b12c Guido Günther 2019-06-20 436 struct mixel_dphy_priv *priv; f4c8116e294b12c Guido Günther 2019-06-20 437 struct resource *res; f4c8116e294b12c Guido Günther 2019-06-20 438 struct phy *phy; f4c8116e294b12c Guido Günther 2019-06-20 439 void __iomem *base; f4c8116e294b12c Guido Günther 2019-06-20 440 f4c8116e294b12c Guido Günther 2019-06-20 441 if (!np) f4c8116e294b12c Guido Günther 2019-06-20 442 return -ENODEV; f4c8116e294b12c Guido Günther 2019-06-20 443 f4c8116e294b12c Guido Günther 2019-06-20 444 priv = devm_kzalloc(dev, sizeof(*priv), GFP_KERNEL); f4c8116e294b12c Guido Günther 2019-06-20 445 if (!priv) f4c8116e294b12c Guido Günther 2019-06-20 446 return -ENOMEM; f4c8116e294b12c Guido Günther 2019-06-20 447 f4c8116e294b12c Guido Günther 2019-06-20 448 priv->devdata = of_device_get_match_data(&pdev->dev); f4c8116e294b12c Guido Günther 2019-06-20 449 if (!priv->devdata) f4c8116e294b12c Guido Günther 2019-06-20 450 return -EINVAL; f4c8116e294b12c Guido Günther 2019-06-20 451 f4c8116e294b12c Guido Günther 2019-06-20 452 res = platform_get_resource(pdev, IORESOURCE_MEM, 0); f4c8116e294b12c Guido Günther 2019-06-20 453 base = devm_ioremap_resource(dev, res); f4c8116e294b12c Guido Günther 2019-06-20 454 if (IS_ERR(base)) f4c8116e294b12c Guido Günther 2019-06-20 455 return PTR_ERR(base); f4c8116e294b12c Guido Günther 2019-06-20 456 f4c8116e294b12c Guido Günther 2019-06-20 457 priv->regmap = devm_regmap_init_mmio(&pdev->dev, base, f4c8116e294b12c Guido Günther 2019-06-20 458 &mixel_dphy_regmap_config); f4c8116e294b12c Guido Günther 2019-06-20 459 if (IS_ERR(priv->regmap)) { f4c8116e294b12c Guido Günther 2019-06-20 460 dev_err(dev, "Couldn't create the DPHY regmap\n"); f4c8116e294b12c Guido Günther 2019-06-20 461 return PTR_ERR(priv->regmap); f4c8116e294b12c Guido Günther 2019-06-20 462 } f4c8116e294b12c Guido Günther 2019-06-20 463 f4c8116e294b12c Guido Günther 2019-06-20 464 priv->phy_ref_clk = devm_clk_get(&pdev->dev, "phy_ref"); f4c8116e294b12c Guido Günther 2019-06-20 465 if (IS_ERR(priv->phy_ref_clk)) { f4c8116e294b12c Guido Günther 2019-06-20 466 dev_err(dev, "No phy_ref clock found\n"); f4c8116e294b12c Guido Günther 2019-06-20 467 return PTR_ERR(priv->phy_ref_clk); f4c8116e294b12c Guido Günther 2019-06-20 468 } f4c8116e294b12c Guido Günther 2019-06-20 469 dev_dbg(dev, "phy_ref clock rate: %lu\n", f4c8116e294b12c Guido Günther 2019-06-20 470 clk_get_rate(priv->phy_ref_clk)); f4c8116e294b12c Guido Günther 2019-06-20 471 f4c8116e294b12c Guido Günther 2019-06-20 472 dev_set_drvdata(dev, priv); f4c8116e294b12c Guido Günther 2019-06-20 473 f4c8116e294b12c Guido Günther 2019-06-20 474 phy = devm_phy_create(dev, np, &mixel_dphy_phy_ops); f4c8116e294b12c Guido Günther 2019-06-20 475 if (IS_ERR(phy)) { f4c8116e294b12c Guido Günther 2019-06-20 476 dev_err(dev, "Failed to create phy %ld\n", PTR_ERR(phy)); f4c8116e294b12c Guido Günther 2019-06-20 477 return PTR_ERR(phy); f4c8116e294b12c Guido Günther 2019-06-20 478 } f4c8116e294b12c Guido Günther 2019-06-20 479 phy_set_drvdata(phy, priv); f4c8116e294b12c Guido Günther 2019-06-20 480 f4c8116e294b12c Guido Günther 2019-06-20 481 phy_provider = devm_of_phy_provider_register(dev, of_phy_simple_xlate); f4c8116e294b12c Guido Günther 2019-06-20 482 f4c8116e294b12c Guido Günther 2019-06-20 483 return PTR_ERR_OR_ZERO(phy_provider); f4c8116e294b12c Guido Günther 2019-06-20 484 } f4c8116e294b12c Guido Günther 2019-06-20 485 f4c8116e294b12c Guido Günther 2019-06-20 486 static struct platform_driver mixel_dphy_driver = { f4c8116e294b12c Guido Günther 2019-06-20 487 .probe = mixel_dphy_probe, f4c8116e294b12c Guido Günther 2019-06-20 488 .driver = { f4c8116e294b12c Guido Günther 2019-06-20 489 .name = "mixel-mipi-dphy", f4c8116e294b12c Guido Günther 2019-06-20 490 .of_match_table = mixel_dphy_of_match, f4c8116e294b12c Guido Günther 2019-06-20 491 } f4c8116e294b12c Guido Günther 2019-06-20 492 }; f4c8116e294b12c Guido Günther 2019-06-20 493 module_platform_driver(mixel_dphy_driver); f4c8116e294b12c Guido Günther 2019-06-20 494 f4c8116e294b12c Guido Günther 2019-06-20 495 MODULE_AUTHOR("NXP Semiconductor"); f4c8116e294b12c Guido Günther 2019-06-20 496 MODULE_DESCRIPTION("Mixel MIPI-DSI PHY driver"); f4c8116e294b12c Guido Günther 2019-06-20 497 MODULE_LICENSE("GPL"); :::::: The code at line 165 was first introduced by commit :::::: f4c8116e294b12c360b724173f4b79f232573fb1 phy: Add driver for mixel mipi dphy found on NXP's i.MX8 SoCs :::::: TO: Guido Günther :::::: CC: Kishon Vijay Abraham I --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --xzyzecjmepsobhuc Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICGolMl0AAy5jb25maWcAnDzbciM3ru/5CtXkZbe2MqubZeec8gPVzZa46pubbEn2S5fi 0Uxc8WVWtpPM3x+A7AvIZmumTiqTTAMgCYIgCICgfv7p5xF7f3t5Orw93B8eH7+Nvhyfj6fD 2/HT6PPD4/F/R2E2SjM14qFQH4E4fnh+//vfh9PTYj66+Dj9OB5tjqfn4+MoeHn+/PDlHZo+ vDz/9PNP8O/PAHz6Cr2c/md0OJzuf1/Mf3nE9r98ub8f/WMVBP8cXX6cfxwDbZClkVhVQVAJ WQHm+lsDgo9qywspsvT6cjwfj1vamKWrFjUmXayZrJhMqlWmsq6jGrFjRVol7HbJqzIVqVCC xeKOh4QwS6UqykBlheygoripdlmx6SDLUsShEgmv+F6xZcwrmRWqw6t1wVlYiTTK4D+VYhIb a8GstJQfR6/Ht/ev3fSRnYqn24oVqyoWiVDXs2nHVpILGERxSQZZwxC8cIAbXqQ89uPiLGBx I7UPH6zJVJLFigBDHrEyVtU6kyplCb/+8I/nl+fjP1sCuWN517W8lVuRBz0A/j9QcQfPMyn2 VXJT8pL7ob0mQZFJWSU8yYrbiinFgnWHLCWPxbL7ZiWoK5ER23IQabA2COyaxbFD3kH1CsFy j17ff3v99vp2fOpWaMVTXohAa0NeZEvCPkXJdbYbxlQx3/LYj+dRxAMlkOEoAj2VGz9dIlYF U7iGZJpFCCgJq1IVXPI09DcN1iK39TrMEiZSGyZF4iOq1oIXKMtbGxsxqXgmOjSwk4Yxp1uo YSKRAtsMIrz8aFyWJCWdMI7QMGb1qFnKioCH9TYU6YroZc4Kyf086PH5slxFyPnPo+Pzp9HL Z0cfvCsCO0U0sybKhXoXwK7byKwEhqqQKdYfVtuRbU81G7TuALQmVdLpGm2aEsGmWhYZCwNG 97qntUWmNV09PB1Prz5l191mKQedJZ2mWbW+Q2uUaOUDK1+vxl2Vw2hZKILRw+vo+eUNzZvd SoBsaBsDjco4HmpCVlus1qjXWlSFtTi9KbQmpeA8yRV0lVrjNvBtFpepYsUtHd6l8rDWtA8y aN4IMsjLf6vD6x+jN2BndADWXt8Ob6+jw/39y/vz28PzF0e00KBige7DqGc78lYUykHjYno4 Qc3TumN1RA2fDNawC9h2Zev7UoZowQIOZhXaqmFMtZ2RQw0sklSMqiGCYMvE7NbpSCP2HpjI vOzmUlgf7fkTConna0jX/Aek3Z4dIEghs7ixl3q1iqAcSY/Ow8pWgOsYgQ844EG1ySykRaHb OCAUU78fkFwcd3uHYFIOiyT5KljGgm5hxEUszUp1vZj3gXCUsOh6srAxUrmbRw+RBUuUBZWi LQXbGViKdEoOc7Exf7l+ciFaWyihcTxkRxln2GkEp5+I1PXkksJxdRK2p/hpt89EqjbglkTc 7WPmGjmj59rUNWss738/fnoHB3T0+Xh4ez8dX7uFLsF/TPLGK7OByxLMJdhKs70vOnF5OrSM sSzzHHxAWaVlwqolAxc1sFTcpoLJTaZXxLQOtLLh7bbgabMrGkVfFVmZk62ZsxU3s6BHEnhR wcr5dFy5DtYfxeA28D9iM+JNPbrLTbUrhOJLFmx6GL1iHTRioqi8mCCCcwsO1p0IFXH7wEb6 yQ00F6HsAYswYT1gBBv4jkqohq/LFVcxcSxBVyWntg81HweqMb0eQr4VAe+Bgdo2iw3LvIh6 wGXeh2kPhdijLNi0KMu/QLcd3B0w5kTLUUFpaAMuOv2GmRQWACdIv1OurG8Qf7DJM1BnPKAh biIzro+fUmWOeoCvA8sacjhLA6bo+rmYajsli44Hja14IGQdOhWkD/3NEujHuF0kqulQ2kMk XYfV6o76xgBYAmBqQeI7qkEA2N85+Mz5nltBaJbDeQ0RJ46uFzwrEtjYln/ikkn4i+fwd4Mk fd6XIpwsLGECDZxgAc/x/IPTitFJW9rlnnNOX9rFRe0g3cMOwSil6rmuZhV9YOSnB4+M5+yG g62zZ50I7neVJsR1sLYGjyOwgFQjlwx8f/Q5yeCl4nvnE7Se9JJn1iTEKmVxRPRN80kB2t2m ALm2LCYTRE3AISoL+6AIt0LyRkxEANDJkhWFoIuwQZLbRPYhlSXjFqpFgDsJI01LF/oLg8D/ CAU97ditrKjjgqqgjyI6zzYq6TiFTtPAWQUIwIg3qu2ZA4PmPAypYdD6jVumckMhDQR2qm0C zFNvJA8m43njENTJqvx4+vxyejo83x9H/M/jM7iNDA74AB1HCCQ6J8E7luHVM2LrJvzgME2H 28SM0ZzUZCwZl8uesUdYfUDrPUaXBLNETEGUt6H2RMZs6bMf0JNNlvnJGA5YgC9Rux6UGcDh +Ylua1XAHs6SISwmKMBZs/ZEGUUQwms/RYuRwenhTBUdRAjYMVFnmRHFE33YYQ5QRCJw0iFw NEcitjaVNn36nLLCRzsb1+lxsiCWezFf0pySlYjQpGYSrgdrUPChatTc2idJAh5WkaKzDYdy ItLrydU5Ara/ng700Kx829HkB+igvy54gOgk2GgZNS4qsVBxzFcsrrT0YEdvWVzy6/Hfn46H T2PyT+fZBxs4wfsdmf4hFI1itpJ9fOPOWypPgK3ZaljxJJjWOy5Wa18iRJaJB8pisSzA0zBR bEdwl6UAS9hsem2bN+MTN+nIdaby2NqhCXEi6mRskoUcHCeqoRGcb5wV8S18V9bhkK9MQlkn CuX1zBq8DR9KnYF0E0LaJd2gsa3gFGuzE/nj4Q2tEWj54/G+ztLTdizA/eP2xlYipkdjzUG6 Fy5hnIuUO8BlkEyvZhd9KPicVsxo4LyIadrPAIWyk4EGWgSJVEt3Wfa3aebOYDNzALDEoDUB y11u49Vk44DWQroTTXgoQFdcSnCzM5fLZAuW24Xt3WnfBNRkalDBWdwfogB9lcydH8hxY6d0 zRpxplTsTlEqzBrvJ2MXfpveQEjSS1wqviqYS5sX7nGv1mUa9hsbqLt5ylTka9Gj3oLzCdGD O7097lIHducq5B2wr/dca9M96k49gKjLB2gwmOnR8XQ6vB1Gf72c/jic4Iz+9Dr68+Ewevv9 ODo8woH9fHh7+PP4Ovp8OjwdkYpuILTyeD3EIMhBIxtzloJhgeDHPSZ4AUtQJtXVdDGb/DqM vTyLnY8Xw9jJr/PL6SB2Nh1fXgxj59PpeBA7v7g8w9V8Nh/GTsbT+eXkahA9n1yN54MjTyaL i4vp4KQm06vF1fhyuPPFbDolkw7YVgC8wU+ns8sz2NlkPj+HvTiDvZxfLAaxs/FkQsZFS1BF LN5AyNeJbTxzp0UUreA5bPRKxUvx3X5+dShuwgj0aNySjMcLwozMAjgP4ATpjAPmvQV1hdE8 xgKPr3aYxWQxHl+Np+e54eCUT2jABRGGLDtOgNvxhO7n/98GtcU232gfTVKX12AmixrlvQcw NIu5h8ai2DLjVc1+7Y/Q4OZX32t+PfvV9Subpn2P07SYtz4j+spLjJ1SOKTIcWSyMEngQmRC b3YKnca6nl60LmHt2tRp44aupBmQFBwbWTu3rduLgRFESMiOTl4iUSXcUE5yZZJe5q4DTj3S LSbEG5QOBcFfKiCKCOBUISfjOos5ZlK1s3Zt30eBFnmkDYjpxdghndmkTi/+bkBQY1uc6wIv dnreUu2v1YEj6JATo9bHKl5KghtYe5eD6F4MVp/3MQ9U45Kit+kmhox3GKXou1tLsfPHuRBi dbzXqdDIPZ53DCIbRFZ5AuoEIZ7LOKYC9EFYgXPHdSrL703LPBZKd5OrOovfcMIDjFqIf8wK hndkfcjwZdiG73ngfIJKUUEbmA4nbzHH0/jO8v3r15fT2wgcilHOdWXM6PXhy7P2IUZ/Hk8P nx/udeXL6NPD6+G3x+MnUtNSMLmuwpLyv+cpXluPLQgxh5iX1JciqNRZga5VF86VKYZydVgB tp/HY7rSGGODf8xSHQuAsxpYIXVNwOMpTNSpcTFWRcol0Y4i0zE25suGLx7qhrtKqWUxhsXo ZSSIkHV6ec3jnDtjb6/86eBdDgagjJ34PsgnF1WTYPLgwbiAFbQwjav359XHyQgrkh7ewDd8 x9i/f0Fk5gSbg0XhMnHnak3RgGKweUxliQh6It2uuXOYnWOBsDn9QTZLlvU4tNONGgaqiMVK PdaDNO/zNzg24W/2g/zlqsA7gHV/lMEeHN3a9hxpsHEl5o5i1ZN3LnkZZnZW2GBqG1yIrBDq VhfYWFai4DoJZRtgk9bCZDwmTn3wmpeCrzDFXieX3XxgZAlw+QLnyctXtBpEXEESopkk1xU1 pL2saHu1OiBGW5dcubuOGlo01zpZRYuITJLg5a/jafR0eD58OT4dnz38yVLmVmVRDejfoTUI EHCuE8DUbYRQP8WEC6aa8W5Q9pF2Mi+B0DU0aUBlV64hKuY8t4kRYudhAIq3UH3aHdtwXZ/j h9aFeJMut2VhVzTXnFhdOHlbZCDc4lVP6EFhlV5fuu1UnAah5kEF6zAbgOqDEMsGJlPKeBBv rN6bHJgpoiIi2N1UebZD0xpFIhCYnu45Hv32nqVwKTJ6m4mpXSI0JF31vJc6E9OqBV4NSdF3 kSiJKUHoeWJGJUn7LmEwpPpNbU9NkbQUbZUr4MSnxyPZxFhwYl1mNRBzhZZj1VohttYB2JKs sm0Vs9Bi30ImPC0HUIqTcyBUBoH1OjrqaVMdDcuj8AQR08k219ijzb0Gxrm8nEz2BGsFZ/0u SaWOkU8rreh0/O/78fn+2+j1/vBoFUbhbMCU3NjzQ4ieH1NwkNgX7RTtVta0SBSBB9w4NNh2 6CrWS4s7Q4JT7Y0ZvE3Q69EX8T/eJEtDDvyEP94CcDDMVufHf7yVjl1KJXxFeJZ4bRF5KRrB dLU/Fr6VwgC+mfIAms5vgKSdzHVXljf67Crc6JOr+EBmBKOsjmsYeBlMhXxr7wn4w0JWzS73 +4a2a0wIrjZ+tAxy4cfU+e2KbaWfQCT7xc0gyjsbxDXJa39Lnalpmm6K2+wMer2zkeBa5mB+ i9uhKckgGcDoJPN0fAY5mc5b7Lc+9mrRb3sDDh4VkGWOPAaIonuWXitS9HB6+utwGjCaenp5 kaksyGKbSYPSh2ld2dzXgralBzXcEpMqeAcWWSUdkSiSHQTimAxIaFUXXaOGqOsx2lVBVN8p +6Gtd9r2iKPH3a1ChbtT0N2tdQYE4KQDAVLR29UWGGa7NM5YaO7Leh6HEkDlk3Od4YBOkiAI bPnn2CTaeYC6cImes6ssW8GJ2QrHReC12jLLVGUihCcHjbfyYKKys6i2kx7NNieGj0eivR0k AofNLWlZaQ2ocqtCT4ILJJPGBKrjl9Nh9LnRX2P7SM0rbqJKbInYDGiZ25cq/n70EHffnv87 SnL5EpzZJ+aaxiNdB9F6u+3IZ7tviHoYSzk22wSvne2rMoqJ3PRkDa8KcKP7ddWbpmyDtkNg ktDSnpY2oTeJLRTPLrzR3puNjEVadm/byNubuWCLl1UUl3LtlPlsidctCnWLpbP6LRLuG07r Dq15Lm9zRu/fWuRWc1mmptJxzdIVNQFtS4imUwgryXbCjFyJ76uccA46tdnFHYmvjPrQnBZa aE5TmBOmOnvpqy32gMWJ3SYyIBmA7B3YFmsmHaBLYx4dmVx6hfUPwa1lRDBzAsbUemWmvzER Or1Y1DUkT33kxWQ6jJw0fXMfdnoW23Y8gJ8NDZvMzrRL5sPI1Rrzm4PooAjUZByKaJiEcTnA VYs52wyQVQBHzFmCZbw5Q4CFGV4S0Hb4F5wTXbrhYtN1nsW3k9n4wo/vBljikWq9/SNpr+Mv n45fwYh5My4mf2wXz5lEtQNzq0H+U4JJjdmShtIYB4FV2HDM7fM4st8G9gpKtAXoEgBlCnt5 lWI9bxBYV/Wbgitv4x5XBjpEbmXsulsLXTS0zrKNgwwTpmurxKrMSk8hkAQJ6BDYPALrE2gk 1naauyg3ocB0jbDS1wGmjLhPsOE8d6uPWyT0Wl/JDCBrW2a5aWTe5gmpeY5a7dZCcft5iCYt +ArUDFNtWMBVr03FcleUdnmlBkVlqst+KnxxOtjQShppyHoHIQpnpujbwenLJOTJB9fJf8On fSXSTdqntz6sp4DVTBO8IVM+hTnJntyNlpk3JUGS74O1e7I3Sl6LHVOlrkBMO/OYdgAXZmU/ RaWvy+oKPEzTmoeIzXNcz3Trqy+8qLLecAzBSUsUcgxr5CA1vHYE6MVQ/T7aRjcv5zrz4W3r NALBZT1/CfcpVhPgXt703amBJ28O1fefuzX2IsULU15fTnqW0GgDXlxu+5sPgo/m1pUHWFtK fGud6Zf6hhtry1EJPXtbo5rrAd/QVmGn04GN6ypCPa1JNedQJ5Sku0UMYixuxNw7eNz0oUyG 78DFqs6VktqTup8ab8oFO6yuj9Vr02sxm/ZR3VRQ/EaBfCZSgZVWzWVnsdtTnRtEuc2b2xlP cx+q4JFWLueRALlEh0WfTZu7Ik/VJCoHmP2C49xwX3R4vDWg5d5tXnYVZNtffju8Hj+N/jD3 RV9PL58f7PQoEtVT9kxXY03dM7dDAo3RuTtVzatLGlqdG7dpjjUg+PYbnGIIrj98+de/PlhS wR9pMDT0ELaA9RyD0dfH9y8P1MHp6MCuKxQM/Cmy/NbXld5UxjDbkyAdu3Xd3/G02mUHbcCH H9Qp0Q8lJFb4d78wUVsA1yTUt/aYvOihytQLNi08yPpAsCqV6jayCGosrrAnY9vQiVVvPIC5 b54IxlIYAseIxMeIQU2nc2+m2aG6WPwA1ezqR/qCEOfstHErrK8/vP5+mHxwsGiQ7BpTB9E8 AHOHbvH7u8GxpXkIHIObSj3JpV3Lgg/WMB4F63FTWt5385RtKVdeoPUTF927N0zVCOV5Eoe1 I2EfDD5lppT9MKKPg2nsbHxzD61dlsLG7ZbOPOq3iCLTOzq47ZFXyY07PF7M0/oiCvVNRoKL luWsTfTnh9Pbgy7CUd++0hKE9ta4vX8lthOCqJTcKw8hqqDE7MYwnnOZ7YfRdlGIg2RhdAar 87+K1i65FIWQgaCDi71vSpmMvDNN4DT3IhQrhA+RsMALlmEmfQj8RYFQyI3j1CcQNu0rWS49 TfC5Pkyr2l8tfD2W0NJkCvvdxmHia4Jg9yXVyju9MgbfwCtBWXp1ZYP3PD4E5nB93dzK7eLK hyGbrEV1V9SOglsWplfxgVskuanyQPRg6GvTrCKC8zZbLLLunTvZRdBOZKbMMYSg1L4HIMjN 7RLMQ/cjATV4GZHLGfioGgvhPN5GlPPIufsRFouzdnu3P/IBgbqwX4sy+zU0kympOtZ+k0hN WWKOP9FU3NrGeoiiWq7PEH2njx/rwP61jkESfdc6TIa+xVlmDMF5dmqa8wx1RL0n4JRW5zOG eWrRgxx1FIP8WCTDAtJk5wRECM6z8z0BOURnBaR/LuGMhDr8IE+EZJAlm2ZYSIbunJQoxXdY +p6cXKqeoPAX276j3G3FsinFrIqE+DHavzeN4djMdil1ZIqd5MkQUrM0gGtDPv3TZaEmcwrK hjFu42Lnb9qDd0GuebEN0mN5TvnqSvK0Xed/H+/f37A62VQw67fJb8TCL0UaJVhPTCu0muRB HwUfdgZavznErF5XKBxHVfNjMN+cYWRQiJxcudTgBHwZkkeHLus8YXsKDM1DTzI5Pr2cvpG7 e08J47lK+a7MHty9kvkwHUi/UWgruv6Psz9bkhtH1kXhV0lbF9u67V91OkjGwNi/1QWCQwSV nJJgRDB1Q8uWsqpkLSl1UlmrW+fpDxzgAHc4Q3V2m3Up4/swEaMDcLjrhxDkuGDIpNb22Fou m6RTuwb7ZGSmLub+3nkP4IRwMzUigX514fLaQNDROe2Gg+wprjVmzCfYBpQw4zx/xfhQ3EV6 7CtViUWK4TlAa4QbeJeyJikc4BkFkjMNYDotOZ/iMMaIXqRvE3pqROD0qCaUOG76lnkIPkke lkQorW4yfqFuTCX06pR+Xa/2W1T/08w1fF4qsvzcuBXn4KdrXWVw45+V7+B2dxo9t49BOXaw 8mDvgNlghbFPweyFaXB9fE4eQurXkQRLG1Xz2AhRhEz1KAmbiO8TZO+eAISXRPLXycrUe5zs +7qyNUfeH86W1sX7IK1y+7cczDtMyPg2WzVmjTbRY1CibDheNWldDiXv6kNB1DmSpsG3DdpE zRzEXFIB7p6dp40Aw4HkPH54ekUMtR3BmJDajZ8K0XCHrXWbmANvgbTXl6fUeR5syUDT1/Bq PN+DLoocHt3NodUHHvE5DIAJweT9AabHpBzPwvQMXz6/wds+UOJzpnY1wu/t63/zW20ShWW2 DPaO+BdWUNIIjtLmEv1w7Dp1aVPgX32VpvhcT6MiP1padRrSBnUwNCt1YVztleG2MrMPVDRh ZjJSIHPbK1t09mDSr/V7qi927d8njw7ApBvX2toUsoJlgaTiMtQ1stqslthKpUInvXhQtbHn 0QxuuA6q32cJ7c1jYrD06hGJOZ3SEELYVsMm7pI0h8pemCYmyoWU9hM5xdRlTX/38SlyQdDs ctFGNDUZAnVGWiCrj1r3qTh3lOjbcwln/m54LgnGFCjU1vBxREd6YrjAt2q4zgqpRBCPA63n v/IRFuTqPnPmgPrSZrj455j/0rQ6O8BcK3axgBQn3AH7RNYuMg1QzNChoUE9aGjBNMOC7hjo 26jmYPhgBm7ElYMBUv0DrletCQCSVn8emdPNiTpk1go2odGZx68qi2tVxQx1Un9xsFzAHw+5 YPBLchSSwcsLA8L2BqtbTlTOZXpJyoqBHxO7Y0xwlqt1SslPDBVH/FdF8ZFBDwdrGh9lvgbK 4kiCY5xf/+v1+evLf9lJFfEGXd2oUbK1uoH6NUySsKlIcbhh+gKL44Qw1uRgKehjEePxsnUG zNYdMdvlIbN1xwxkWWQ1LXhm9wUTdXFkbV0UkkBThkZk1rpIv0XGAAEtY7Wz1Fui9rFOCMnm hWZXjaB5aET4yDdmTiji+QCXRRR2J+IJ/EmC7rxr8kmO2z6/DiVkOCULRmhaJofpCgFrE6Bv gqVGmI/qth7WyvTRjaI2TfrSX63bBZaUVQiqtzJBzCx2aLL4mFixvozuBV6fQRz87RNYf3Bc EDgpc0LnQA3SKlpkBioVRaYEd1MILu4QgC7wOGVjGplJfuSNMfwbAfLqeIuuZGrRYPOwLPV2 AaHa4K4RACisEoIHLkwWkJQxhctm0JOOYVNut7FZuNSTCxzYh0qXSGqqAJHjw8dlVvfIBV73 f5J0ax4cqPUgqnnmaO/HbUJG7UIUtfTnWZssFEPAKyixUOFpWy8wp8APFqisiRaYWVzkedUT DlmlbcbyAWRZLBWorhfLKkWZLFHZUqTW+faWGbw2PPWHBdpYIrg1tI75WYnNuEOVAieofnNt BjAtMWC0MQCjHw2Y87kAglGHJnELBK/Z1TTSiJidp5Qgrnpe94jSGxYTF9KvLBkY7+hmfJg+ LKYF0y+gwvfFxtAsqH4rgeLqyhU65GC3moBlaR5kIxhPjgC4YaB2MKIrEkOkXV0BH7Dq8A5k L4TR+VtDVStojviEbsZMxZJv1Te6CNO6LbgCs4MDMInpEwqEmB07+TJJPqt1ukzLd6T4XLtL iAq8hKfXmMdV6V3cdBNz8Ea/zeK4UdxNXVwLDZ2+Ofh+9+Hlyz8/fX3+ePflBe6Tv3MCQ9ea tY1NVXfFG7QZPyjPt6fX35/flrJqRXOE3at2XsOnOQTRz9bAlOXtUKNkdjvU7a+wQo1r+e2A Pyl6LKP6dohT/hP+54WAA1NtkPl2MDBhczsAL3LNAW4UBU8kTNwSDGf/pC7K9KdFKNNFydEK VFFRkAkEB32J/Empp7XnJ/UyLUQ3w6kMfxKATjRcmAYdlHJB/lLXVbvvQsqfhlFbadAdrung /vL09uGPG/NIC0ZS47jRu08+ExMILLLf4gc/CzeD5GfZLnb/IYzaBiTlUkOOYcry8NgmS7Uy hzLbxp+GIqsyH+pGU82BbnXoIVR9vslraf5mgOTy86q+MaGZAElU3ubl7fiw4v+83pal2DnI 7fZh7gTcII1++3k7zOV2b8n99nYueVIe29PtID+tDzjWuM3/pI+Z4xYwTX0rVJku7eunIFik YnitTHIrxHDjczPI6VEu7N7nMPftT+ceKrK6IW6vEkOYRORLwskYIvrZ3KN3zjcDUPmVCQKW b34aQp+L/iSU9s5wK8jN1WMIAi9gbgU4B/6vtqWKW+dbYzJgXCtBJ6Dm0SFYip/teA6oNqZd 91nthJ8YNHAwiUfDwOnXv0yCA47HGeZupQfccqrAlsxXT5m636CpRUIldjPNW8QtbvkTFZnh G96B1a4SaJPac6r+ae4FfmCM6EcYUG1/hrdf/qDfq2bou7fXp6/ftVHLb68vby8fXj7ffX55 +nj3z6fPT18/wOX6d2P00vJOqpMzh1ctuficiHO8QAiz0rHcIiFOPD6cqs2f831UC6bFbRpa cVcXyiMnkAulFUWqS+qkdHAjAuZkGZ8oIh2kcMPYOxYDlQ+jIKorQp6W60L1uqkzhFac4kac wsTJyjjpcA96+vbt82j19I/nz9/cuOjsaihtGrVOkybD0deQ9v/+C2f6KVylNULfZFhmAxRu VgUXNzsJBh+OtQBHh1fjsQyJYE40XFSfuiwkjq8G8GEGjcKlrs/nIRGKOQEXCm3OF0twbSdk 5h49Oqe0AOKzZNVWCs9qemBo8GF7c+JxJALbRFNPNzoM27Y5Jfjg094UH64h0j20MjTap6MY 3CYWBaA7eFIYulEeP6085kspDvu2bClRpiLHjalbV424Ukjtg8/6sRjBVd/i21UstZAi5k+Z H2jcGLzD6P6f7V8b3/M43uIhNY3jLTfU8LKIxzGKMI1jgg7jGCeOByzmuGSWMh0HLboY3y4N rO3SyLKI5JzZdlMQBxPkAgWHGAvUKV8goNyDWU0+QLFUSK4T2XS7QMjGTZE5JRyYhTwWJweb 5WaHLT9ct8zY2i4Nri0zxdj58nOMHaLUOvLWCLs1gNj1cTsurXESfX1++wvDTwUs9dFif2zE AexnV41diJ8l5A5L5/Y8bcdr/SKhlyQD4d6VGB+wJikbjqyrTEyOqgNpnxzoABs4RcAN6Ll1 owHVOv0KkahtLSZc+X3AMqKo7K2kzdgrvIVnS/CWxcnhiMXgzZhFOEcDFidbPvtLLsqlz2iS On9kyXipwqBsPU+5S6ldvKUE0cm5hZMz9cM4N9lSKT4aNLp30azBZ0aTAu6iKIu/Lw2jIaEe AvnM5mwigwV4KU6bNlGPnoMjxnk3uVjU+UMGE+Wnpw//QgYnxoT5NEksKxI+vYFffXw4ws1p hN7BaGLQijNaololCdTg7EcIi+HAOAFrM2AxBli04ZwcQni3BEvsYBTB7iEmR6S1CYZV7B89 0icEgLRwm9W2QiaYCNImW/G+WuM4J9EW6IcSJe1pY0TAL3gW2covwORIEwOQoq4ERg6Nvw3X HKaamw4hfMYLv6aHGhi1XctrIKPxEvsoGM1FRzRfFu7k6Qz/7Kh2QLKsKqyONrAwoQ2TvWtW SE8BEvmnMcAXAqgV7wizv/fAU2DZ11XBIgFuRIW5NSljPsRRXqlS+UgtljVZZIr2nifu5fub n6D4RWK/3u148iFaKIdql32wCnhSvhOet9rwpBIKstxeu3Ubk9aZsf54sXfqFlEgwshHcwqD vEQfL+T2WZD64dujR9jGBsH2hqjrPMFwVsdxTX72SRnZ74c63/r2XNSWMkh9qlAxt2oXU9uL 9gC4j6hGojxFbmgFaiV0ngGpE98r2uypqnkCb4pspqgOWY7EapsdbbOy5DlmcjsqAuyQneKG L87xVkyYPLmS2qnylWOHwDszLgQRSLMkSaAnbtYc1pf58Id24J1B/dtPV62Q9NLEopzuodY5 mqdZ54zBBi08PPz5/OezWvv/MRhmQMLDELqPDg9OEv2pPTBgKiMXRYvbCIIPFxfV13ZMbg3R 9dCgTJkiyJSJ3iYPOYMeUheMDtIFk5YJ2Qr+G45sYWPp3FlqXP2bMNUTNw1TOw98jvL+wBPR qbpPXPiBq6NIv6R2YLDnwTOR4NLmkj6dmOqrMyb2qOPthoYnym4tTQbGJ8FxlBnTB1aunEVK 9U03Q4wffjOQxNkQVglWaaXfa7tvSIZP+PW/vv326beX/ren72//NejFf376/n1ySYaHY5ST V1gKcA6FB7iNzLG/Q+jJae3i6dXFzJ3mAA6ANgVqvRgdUPeBgc5MXmqmCArdMiUAs1UOymjM mO8mmjZTEuRCXuP6SApspCEm0TB5xzpdLUf3vwY+Q0X08eWAa2UblkHVaOHk9GQmtO9njohE mcUsk9Uy4eMgQw1jhQikgaxAAbrtoKtAPgFwsBdpi+5GDf7gJlBkjTP9AS5FUedMwk7RAKTK d6ZoCVWsNAlntDE0en/gg0dU79KUus6li+IjkhF1ep1OltN7Mkyr33NxJSwqpqKylKklo8Xs vvE1GWBMJaATd0ozEO5KMRDsfKGn9Mx+kBZHVrPHpRrLiazyCzpiUyu+0ObaOGz809I2t0nb HquFx8g41ozbjsksuMDvZ+2EqLRMOZYxbjU4Bk4u0YazUhu8i9rJwcTyhQHxwzSbuHSox6E4 SZnYTnMu4ytuByEnC8ZYGBceE9yOUD+fwMnpkYJGPSBq51rhMK5kr1E13Jn3waV9eX6SVPLR NYBfJ4CiRQDH76CAg6iHprXiw69eFjFBVCFICSLbvQP86qukAHtuvTnnt3pZU1s10KRSG962 xPXO5gdbaJCHHngc4bxX17vRrj+c5aO2bm71uwf7R53272xLEwDItklE4Zh5hCT1NZg5XsbG GO7enr+/OaJ/fd/i5x+wM2+qWm3pyoxcKTgJEcI29zA1tCgaEes6GQxAfvjX89td8/Tx08uk 1mK76UF7ZfilJoVC9DJH5q9UMZvKmuMbMBIwHPqK7v/yN3dfh8J+fP6fTx+eXV9SxX1mi6Db GqmqHuqHpD3h6e5R+7+Bx4Rxx+InBldNNGOPorDr82ZBpy5kTxbqB77WAuCA3CrAHvU6VoX6 dRebdB1HLxDy4qR+6RxI5g6E1BgBiEQegdIKvGC2p0ngRLv3cOg0T9xsjo0DvRPle7WbF2VA SnQu1xmGukzNYzjR2ghSpKALkHYeBsaXWS4iuUXRbrdioD6zz+lmmE88SzP4N40xXLhFrBNx D6VIaFhVZ42LcKnCGdxqtWJBt9gjwRc8KaQqTRFlgsMztuxu6PGjFj41wr3o/iJgjLnh884F ZZXidckClXRoDw9ZZ3efvr49v/729OGZDI9TFnheR1onqv2NBmcdUDeZKfmzPCwmH8KRogrg VqILyhhAnwwZJuRQTw5eRAfhorq2HfRsOiD6QPIheDY4aBthYG5H2vdPzPQzTY/2hSBc7iax ba9YLY0pyCookIH6FhlSVnHLpMaJlWAkLXL8LoyU0U9k2KhocUqnLCaARBFsi2/qp3M6p4PE OI7r0sUC+ySKTzyDHOXCLe0k4hpXxZ//fH57eXn7Y3HFg+tocAWH6yoiddxiHh34QwVE2aFF HcYCjfNe6h/XDnCwjTjZBNxjsAQUyCFkbG9vDHoWTcthsDQj4dGiTmsWLqv7zPlszRwiWbNR RHsKnC/QTO6UX8PBNWsSljGNxDFM7WkcGokt1HHbdSxTNBe3WqPCXwWd07K1WgpcNGU6Qdzm ntsxgsjB8nOilqmY4peTPZEfhmJSoHda31S+jVwz/Nocorb3TkSFOd0G3ByizYQpW6Pdk82O vZeG2yS6pkq6b+yb4hEh+m8zrC0D9nllm7+YWLJrbbp720aMCnZvj+SFDQIozjXYMQJ0wxxZ 3BgRuOew0EQ/p7X7rIbABgSBpO0WYgiUWQMwSo9wZ2F1FXM34mkH22Ds0w0Ly0uSq81y019F U6p1XDKBogQcQWXG4UdflWcuEBj1V58IbgjAg1CTHOMDEwzsvY6OSyCIdsjFhAPjoGIOAq/V Lcfwc6bqR5Ln51yJZ6cMWcZAgYyjQVABaNhaGA6dueiuncWpXppYjLYrGfqKWhrBcFuFIuXZ gTTeiBiHaipWvchF6FCVkO19xpGk4w8XXlb+I6LtIzaRG1SBYNITxkTOs5P1z78S6tf/+vLp 6/e31+fP/R9v/+UELBJ5YuJjOWCCnTaz05GjPUm0p8JxiafxiSyrjBhrnajBqN5SzfZFXiyT snVsfM4N0C5SVXRY5LKDdJRsJrJepoo6v8GpRWGZPV2LeplVLQjaps6ki0NEcrkmdIAbRW/j fJk07TqY1uC6BrTB8FaqU9PY+2R2fHPN4FXZF/RzSDCHGfTXyVFVk95n9k2J+U366QBmZW0b 6xnQY00Pmfc1/T36MaBwRw+d9k57RCKzDuHhFxcCIpPjiCwlW5qkPmlVPAcBTR21naDJjiws Aejwez5/StEDDdD0OmZwn4/A0hZnBgDsi7sglkIAPdG48hTn0Xym9/R6l356/vzxLnr58uXP r+Mrn7+poH8fZBL7nbtKoG3S3X63EiTZrMAATPeefVAAYGrvgwagz3xSCXW5Wa8ZiA0ZBAyE G26GnQSKLGoq7S+Sh5kYSJYcETdDgzrtoWE2UbdFZet76l9a0wPqpgIecZ3m1thSWKYXdTXT 3wzIpBKk16bcsCCX536jb/etE9+/1P/GRGruZhBdgrn270ZE38XNd1Hg8hdbpT42lRatbKvE YI/8IvIsFm3Sd0VGbkE1X0hs7g5ETL1rmEBtzxlbogbD3hW6BzP+V+djeqOvu3DoCt6SRXGw tmvGi7c4WSKo8cRp+4ShPwZP85IFR2vWmBw8ECAwgbF+sIXk0eA7xIAAOLiwp8ABcAyaA94n URORoLIuXITO6BbuKH1MnHa2BO4wWK0NHAyk3r8UOGm0670y4hSP9TfVBamOPq7JR/Z1Sz6y P1xxOyAX4wOgXWaa1sMcbFTuaSs7Nabf8oNRc+OEQJ/CkMZvzwfUQr2+RKIgst0MgNql4++Z lPSLM+5KfVZdMKD2fAQQ6P7L6mp8/4sWGXmqp5VQ/b778PL17fXl8+fnV/fUS3+XaOKLUVwx B7NPH5+/quGpuGcr8nf3PbVuwkjESRnRxh9Q4hIdUQnyifHTXFEa5kKjL6+kntNW/RfWZ4Tq WYSUQt8NoFDGYTqxLT0R3LQxlgMH7yAoA7md+xL0MikykmamDw2+uBhz32CRJnU0dnsBh7iC H7Lms9rTuYzh5iApmI8eWaenq/pTi0R0yuoFuMfe6DGX0Fj6hUCb3JMIoDh7SbLJP178/P3T 71+vT6+6mxjrEpLtlPGV5BBfua6oUFKWPm7Erus4zE1gJJzvUelCW/HoQkE0RUuTdI9lRaad rOi2JLqsE9F4AS03nMm0Fe2MI8p8z0TRcuTiUa0TkahJWqdM0u4LJ4QEAudysejDewdv6ySi HzOgXDWNlFPh91lDVodEl01N4wdcYrX3rGjIc5nVJ+P9ZH4ddKuvTf7s+Ol1mnqTrx+/vXz6 inunWohi4nXcRnuDpXSxUWtSa9SyUfZTFlOm3//96e3DHz+d9uV1UCsBx4wk0eUk5hTwETW9 wjS/tS/ZPsrsUzcVzQhVQ4F/+fD0+vHun6+fPv5u78keQQN8Tk//7CvLOrRB1JRcnSjYZhSB 6VcJzIkTspKnzBY463i78/dzvlnor/a+/V3wAfAES9vdsXViRJ2hE/QB6FuZ7XzPxbU179G0 a7Ci9CCuNF3fdnrbKZ28+riATzuig6yJI0fiU7LngqrLjhz4VSlduIDc+8icI+hWa56+ffoI vgxNP3H6l/Xpm13HZFTLvmNwCL8N+fBqCfVdpuk0E9g9eKF0xn8zeFT+9GHYe9xV1P/K2Ti2 HoyR/WDhXrvjmI+xVcW0RW0P2BFRK9gZPRZswb5ujqfkxqSdZk2hHYIezlk+vU5IP71++TdM QmDbxjZQkl714LL3WhOkt2axSsj2daYP4sdMrNLPsc5aTYd8OUurjV6eH5DD8zmc5aJ4ahL6 GWOsqyj1ztJ2kzZQILRfF7glVN+0Nxk6jJru35tEUlRfHZsIaptQVLYSleaEOeg0IUDd19qU qz1jf3pUtXHJpO26aHSXBP6LYLNhorH05ZyrH0I/D0LeRdQWvEdbzyY5IqdL5ncvor31Fm0A 0QnFgMk8KyBBB68zJ1G148ucgFfPgYrC1uYbM7ddI44JRpG1l4JJS55EY3poitpKUaneHBiT mE6laU9PqkqrvDo+2h1sYVyby/8/v7tnfnDWENlbqAFYr1bOJgCeLSpBoj9mcIvf2IcRSsbI 1RJU9rm921UiWn9NMksOAqmoTw6Z7VYmg1MftXHuUcPIc7lZwUbWxz1A4Z3azNoHcsPpiPpV Yq9pGj/arTiKONBr24RkeUk64xvc/LYGtcxBVcSUY77dtepzWtZNGSprOjqWtgoh/AJlg8w+ BtZg0d7zhMyalGfOh84hijZGP/QAlhiynRMTqko5VDQ7Dj5ExVZJ2xNFvHd/e3r9jtUpVRxz 26y6hpqbW6RPDPmkkstniNM2HcZh+NSqbZgoaliB/6ZblLFFoP0PakeJv3iLCah+ow9P1ObM Opxwg8GhclXmaEi69aGr6az+vCuMyeo7oYK2YMjtszkgzZ9+OBV3yO/V7E1bQJfchdQm01oQ W2z2nPzqG2uXmGG+SWMcXco0tqZVWWBad6GqJqXUbvtoixq32OB3U+tujyt9I4p/NFXxj/Tz 03clev/x6Rujlgt9OM1wku+SOInI2gS4mjPpkjXE10r74FCnsg9JR1JtOI23weksYWQOSjh5 BBd7imcPDMeA+UJAEuyYVEXSNo+4DLBiHER531+zuD313k3Wv8mub7Lh7Xy3N+nAd2su8xiM C7dmMFIa5IJtCgTKT+hZ1NSiRSzpBAi4kjiFi57bjPTdRhQEqAggDtI8ip7l7OUeazzZPn37 BlrvAwhubk2opw9q6aDduoLVsBudUpJ+CdZhC2csGdDxG29z6vub9tfVf8KV/h8XJE/KX1kC Wls39q8+R1cpn+UFTtRVBSc8fUyKrMwWuFptabRvVUTLaOOvoph8fpm0miCrntxsVgRDGsAG wLv1GeuF2to+qm0LaQDd8/pLo2aHhsTLRdtg1f2fNbzuHfL582+/wAnDk3ZioJJafo0A2RTR ZuORrDXWg45I1pEaNRRVIlBMLFqR5sgJBYIHH96qFZFPKBzGGZ2Fv6lDUu1FdKr94N7fbMmq IFt/Q8afzJ0RWJ8cSP2fYuq3EohbkRtVB9sn78CqDYZMDOv5oZ2cXjF9IziZA9ZP3//1S/X1 lwgaa+mWTtdEFR1t41DGpLnaMBW/emsXbX9dz73j5w2PernaMRvNOrzWlgkwLDi0nWlIMqsO IcbTfDa607gj4XewoB4b+zB8KmMSRXCmdhJFgR998QGUBBERiUpce/eb7KgH/U53OIH59z+U WPX0+fPz5zsIc/ebmYXnmxPcYjqdWH1HnjEZGMKdKGwybhlOFKCpk7eC4So1pfkL+PAtS9Rw COLGbUVpu5+d8EEiZphIpAlX8LZIuOCFaC5JzjEyj2CXF/hdx8W7ycIOcqFt1V5iveu6kpmT TJV0pZAMflS79KX+Avu2LI0Y5pJuvRVW0Jk/oeNQNduleURlXdMxxCUr2S7Tdt2+jNOCS7A8 R3u6Qmni3fv1br1E0MlVE2ocJSV4po4ipjOZ9DTJp+lvDrofLuW4QKaS/S69QWdwOCPYrNYM o69KmHZo77kq1ZeYTLZtEfi9qmpuqJnbDq7zZNwosi4YjQT36fsHPI1I1/TT3LDqP0hhamLM KT3TgTJ5X5X6GvEWabYxjF/FW2FjfQa5+nnQU3bkpiIr3OHQMmuJrKfxpysrr1Wed//L/Ovf KXnq7otxPM4KNDoY/uwHeCc/7dmmBfPnCTvFokLaAGqdvbV2aqj2//bhkuKFrBPw4m53bsDH +/qHs4iRYhWQ5pItJVHgSIcNDipX6t/UvBawCNOLhzgLW8bzgQwvBfTXvG9PqqlP4PSeSD86 wCE5DC9+/RXlwC4JOlYdCXCYx+Vmjh3m88rWmnfs/UCVwolbi18yKVDkuYp0kAhUM38LvlQR mIgmf+Sp++rwDgHxYymKLMI5DQPAxtDZbKWVQ9HvAt1fVWAEWCZqOYR5pEAhB51PhIHiVy4e cQ7nwr5cU2s0cicwAL3ownC337qEEljXTnxwBtXbx62H/B6/gB8Alb2q74NtkIwyvVFtN2pa mX3oG8VoCzxGhAtjKWGSzuphsZ868nslGTJ9d4x6LhImwbyyTXjZKCjcG0XnWS955PWjgIqP GzcHSyiAX8tfOdWHHWUE5T0HdqELol2JBQ7F97Yc52xYdJXDo/sovtgPdG14uDOQc5Vg+kr0 HwVcG8PtDTLD2CXlcK7Yp02l9ra2GGWRcMeFuMFkBOpTM6Z26rY+xPSxXOU2Unceo7B8KRJX kwVQsvWZmuuCHLFAQOPuB24mfyA8FQe1/EoSGmloA4DsehpEm29mQdJpbcZNeMSX45i8Z/VZ uzYmOcS9wpFJKdUqBv5Ggvyy8q1KFvHG33R9XFctC+I7MptAS1Z8LopHPW3OM9NJlK09MZiT kSJT0pPt2VseQesvssS+NksL0pwaUsK/da6hmmof+HK9sjC9V+mlbVhOrch5Jc/wUAsuICPb LPSp7rPcmsj13VNUKVEdbWw0DCsgfodXx3IfrnxhmwPKZO4rmT2giH34NLZGq5jNhiEOJw/Z BRhxnePefkR5KqJtsLHk2Vh62xBpYYDDKFtBE9bJDJQKozoYr7HmnNCOfbrtAqXflCiLTlo4 LTKBOOgbyjhNbNEfNDiaVlpFry+1KO2DhcgfljzdkZNESXeFq0lpcNXQvtVhZnDjgHlyFLZH rQEuRLcNd27wfRB1WwbturULZ3Hbh/tTndgfNnBJ4q30XmYareSTpu8+7LwV6e4Go+9JZlCJ oPJcTPcSusba5/88fb/L4EnZn1+ev759v/v+x9Pr80fL/8/nT1+f7z6qKeLTN/hzrtUW5Eq7 rP8HiXGTDZ4kEGPmFWNpBezKP92l9VHc/TbqP3x8+fdX7abIOG29+9vr8//956fXZ1UqP/q7 dT2tNTfh+LrOxwSzr2/Pn++UoKf2Aq/Pn5/eVMHnnkSCwCWtObobORllKQNfqhqj4zBRAoi5 JSYpn16+v5E0ZjICZS4m38XwL99eX+BQ+OX1Tr6pT7ornr4+/f4MrXP3t6iSxd+tE8ipwExh rfVY664O/s5mvwM3am+MeUzK64PVYc3vaVvcJ01TgaZIBBLF47y5TKJTRaYFkau+Tw7Uxuli CUavbU7iIErRC/SwGi2EQ+3KbDw/daYVIHtkY60RGZx9tY2tcRDJDP8CRQxrcwjIYAuLoFrz eDazoAszlOLu7cc31b/VUPrXf9+9PX17/u+7KP5FTRVWL59kSlvaOzUGsx+ej+EaDlMzehnb GjhTEkcmWftIR3/DtJQSPNI6fugtssbz6nhET041KrUxH1AXQpXRjhPLd9IqesfttoOSk1g4 0//lGCnkIp5nByn4CLR9AdXjBlnSMFRTTznMp/jk60gVXc17yvl6XeNIyDSQViIwpuVI9XfH Q2ACMcyaZQ5l5y8SnarbypalE58EHbtUcO079T89WEhCp9o2BqQhFXrf2ae+I+pWvcBKswYT EZOPyKIdSnQAQIUFHI41g0UZyzrnGAI27aBUp/bifSF/3VjXnmMQs9oaDVNrq4TYQsj7X52Y 8AjfPAuFJyzYEcJQ7D0t9v6nxd7/vNj7m8Xe3yj2/i8Ve78mxQaAyiqmC2RmuNCeMcB4cjcz 8MUNrjE2fcO06jvyhBa0uJwLmro+FlUjiMKgtNbQuU4l7dtng0qM1EtCmVzB0t0Ph7CtDM2g yPJD1TEMlUsngqmBug1Y1Ifv14+3j+jK0o51i/dNqpYjDWiZAh4PPHBni5o/p/IU0VFoQKZF FdHH10hNaDypYzmvdaaoEbybvsGPSS+HwFcHE+w+pJko/VTDhQ/S6d8ggNe0WR6bgwtZjQeH JmYBc85T1Cpknwron/ZEjH+Z1kJ7qAkaxnhKl+S46AJv79HmS4dXgyzKNNwxbqlwkNXOSlxm 6Mn+CAr0LNwUuU3osiAfi00QhWpq8RcZ0IIdjm/holibfPGWwg62OVpxlNYxGwkFg0WH2K6X QiBd3uHT6eyhEKqYO+FYFVvDD0pSUm2mRiitmIdcoIOiNioA89GKZ4HsPAmJjAv4NNYf1ABg VdMUkS642QGBpU6jpZkhjoL95j90doWK2+/WBL7GO29P29wUHmN1wa36dRGu9MEPLt0hhepa Kh+1IWFkpFOSy6zixtYonI1aQNb5h9EAOglv49tnGgZ3RtOAm2Z2YNO3Ns6gsC24DUDfxIIO d4We6l5eXTgpmLAiPwtHPCXbojGOeUEOB8PTBGsfF1tSgAoymoPRWz+r5Dp6MfnwjawXq//+ 9PaHaqmvv8g0vfv69Ka2qrNxQGsbAEkIZMlCQ9pdSKK6ZDH6TV85UZilQcPY9Y6GsqIjSJRc BIHQlbNBLqrXEozccGuMXEtrzLyAxdhD1dheLfSXDKpwX9zPk4nacNgmETSlAkfe1u6aJoZ+ ksXUpMxy+zxNQ2k67c9U63ygzfbhz+9vL1/u1BTMNVkdq90Z7I1xPg8SKb6bvDuS86Ewm2qT t0L4Auhg1jkQdLMso5+sBAQX6as8Jjv3kaHz54hfOAIuxEH3kfbLCwFKCsBBYCZpq2ErrGPD OIikyOVKkHNOG/iS0aa4ZK1aNidrx/VfrWc9HSDdKIPYpu4M0ggJlmtTB29toclgrWo5F6zD rf0oTqNqf7RdO6DcIP3OCQxYcEvBxxp7EtGoEhgaAimJL9jS2AA6xQSw80sODVgQ90dNoAnJ IG3oezS+BmnId9qEDc3f0dnSaJm0EYNm5Tthu6IwqAx3a29DUDWe8NgzqJKP0RxglpI48le+ U2EwY1Q57URg9Bvt2AxqPzDQiIw8f0XbGp1gGQQu6ZtrBdYwCJPl29BJIKPBxmewBG0ysEVN UDTmNHLNykM168HUWfXLy9fPP+i4I4NN9/gVlsJNazJ1btqHfkiFbtxMfdN3yGiZJ9HTJaZ5 P1iDRm9Gf3v6/PmfTx/+dfePu8/Pvz99YBR7zKpGdEt1ks7G2LYBO5w72ZNNofbSWZnYY7WI 9YnUykE8F3EDrZEacmzdF9uo3k2gYo4uvWfsYK7YyW/Hc4RBh7NV56hjUlYotK5nmzFKCbHV LrFjDUfHTG3JdwwzPAUqRCmOSdPDD3RgS8JpNzeuJUFIPwN1rAzp0MXaHI4aQy282o2RwKi4 M9hIzGrbAYxCtboGQmQpanmqMNieMv1m56L26lWJ1IghEVztI9LL4gGhWlfNDZw0uKTgp8YW WxQE3onhma+sRYQj482KAt4nDa55pj/ZaG+7H0OEbEkLghIRQs4kiHmNjVoqzQVyDaMg0AJv OahPbfPp0BbEU8lQE7oeJYLhsv/oJPsennPNyKDVQK761W42I6/WAEuVrG/3YcBqfCwNELSK tWiBLsVB91qipKGTtOae4dydhLJRc5xuiVGH2gmfniXSGjK/8TXogNmZj8HsQ74BY47vBgap Gg8Y8gkzYtM1jLlSTJLkzgv267u/pZ9en6/q/393L8TSrEm0aekvFOkrtH+YYFUdPgMjt5Qz WknoGfOd461CjbGNicbBOvw47Wa2rbqE2haG5RbPDqCoMv9MHs5Kln1PnYCl9hNl6jmwTWwd rhHRp0/gXVzE2p3QQoCmOpdxozau5WIIUcbVYgYiajO14VQ9mno5m8OAeYGDyEEF2FqfRIR9 VAHQ2i/Fslp7Qc0Dq3oNhsKgOMQLEfU8dLQN4asMpa0UAmJnVcqKGPQbMFdXU3HYwY12PKMQ uIBsG/UHMq3ZHhybnk2GvaSa32A2hD76GZjGZZA7IFQXiukvugs2lZTIqP8F6dQNanCoKGXu uNi9NNbWSbteQkHkuTwmBbyImzHRYG+15nevZGPPBVcbF0ReYQYssj9yxKpiv/rPf5Zwe54e U87UtM6FV3K7vXUjBBZ7KWlr64GXamN/wrZ7DiAe8gCh69XBLbbIMJSULkAlqxEGizlKxmps JeaR0zD0MW97vcGGt8j1LdJfJJubmTa3Mm1uZdq4mZZZBC9IcY0NoFamV901Y6NoNovb3Q58 O6MQGvVt/TYb5Rpj4pro0iM7lYjlC5QJkpFjmBlQtQtKVO8jXtRHVCftXEmiEC3cssJj7vkW AvEmz5XNnUhup2ThE9TMWVl+abLUUthy9mDaxHFri2ga0a8MtJ8sBn8skUMdBZ9sCUwj0zn7 +FTy7fXTP/8ENaLB0JB4/fDHp7fnD29/vnIORjb2g8mNViIbjdUgvNDWmzgCHsdxhGzEgSfA uQdx6wiexQ9KSpSp7xJER3dERdlmD0u+2Yt2hw6kJvwShsl2teUoOMXRT2tuOWJHoXiv604Q YvoXFQXdLjlUf8wrJV74eCHGQWr7ZehIL/pvHwg+1kMkQsY5PRgrbRO1Jy2Yz5CFjJZ9ydss sVLMhcCPPcYgw/mpWpijXcDVFwnA1zcNZB2zzAb2/uIAmmRa8DiHXqy4X2AUwfqAmCDU91FB tLGv62Y0tMy9XaoG3dm2j/WpciQYk4uIRd3aO8kB0DYHUrTJsGMdE1uST1ov8Do+ZC4ivZO3 L8zA2BB1Dj2Fz69ZWdrSonYFBy5wo4UYbWJv69SmH927m999VWRqRc6OatNlz8tGQ7WVC99Z iPd22oiyfbMUceiBoxBblKxBHkKHtKa1yiJCgrmK3Kvda+Ii2EcrZE4upSaov/j8B6g9lJr2 rNNr8aDfzrCBbYPO6oeuc3ICMMLWNg0CTYZU2XSh01dI8suR3JB7+FeCf9qNmS90s3NT2dZx ze++PIThasXGMLtBe4gdbMP26oexKwzurpI8sZ0sDxxUzC3ePkUsoJFsXdCysx29oQ6rO2lA f/enKzbnBcqAOEE1jzXIRvPhiFpK/4TCCIoxOjrawhZ+6KbyIL+cDAEznrv7Kk1hs0tI1KM1 Qr4LNxE827TDC7YtHevN6pusgwH4pWWy01XNaraGh2bQLsZsqvIuiYUaWUtzTiQu2dnqOqOJ YZhobLfSNn5ZwA/HjicamzA56lV4wvLs4YytdY4Iyswut1GosJWMjYZFa7vvnLDeOzJBAybo msNwY1u41udgCLvUI4qcetifksnI+hA859vhVBfOSmtqMPf180o859iBiWj7kLakftiHNOME H32oPWaeIRuOvreyL0IHQIkV+bx5MJG+oJ99cbXmjQFCWk0GK0XthANMdXElTqoZQ+AXksPt Vh/apgniYu+trGlIpbLxt67OTJc1ET31GmsCq9PHuW9fuKu+jA+6RoR8k5UgWJ1PbId2iY8n Tv3bmQwNqv5hsMDB9PFb48Dy/vEkrvd8ud5jO+Hmd1/WcrihKeAiJVnqMalolGD1yCadNkkC jhusIYEeaIEdjBTZtAWkfiCiI4B6xiL4MRMlui2HgHEtBJZWRtRfgtXUA/dg9tE/kPDJEQOh KWhGb6UCnRdMCetJGt1i2bV1fpe10nKHNSp2FZd3XshLB8eqOtrVe7zw4t5kCHMOesq6zSn2 e7wUaDXpNCFYvVrjyjtlXtB5Ju6cYilJCykE/YDdR4oR3LEUEuBf/SnKjwnB0PQ7h7qkJNxi rz1ZHf5UewuS1OksrontxiFbmouz0N/Y5t1tCnvETFBmCXZrrH9aH5sdD+gHnR0UZH9z1qHw WPTWP50EXGHcQFkt7aVAgzQrBTjh1qj46xVNXKBEFI9+2zNqWnire/vrrZp/V/DdfNQ0mcWg y3YNO1zUeYsL7qUFnJ/btlsutX2pVHfC24Y4CXlv90n45ehwAQaysbTNq6uJ2FYsVr9ovCqC TV/b+X2BVPhnXPAS0KRbjjrhiILJ4oVouVo0Kts+W96p0W7f2RgAt6QGieEvgKhJtzGYMRBu W63Mu41meFOVeSevN+n0ymjc2h+WRcgZ4r0Mw7VV+fDbvoswv1XKuY29V5E6V5C28qjI8llG fvjOPlUbEXNhTQ3XKbbz14q2YqgG2a0DfsbXWWK3JIWMItU/khyeapG7cpcbfvGJP9p+b+CX t7I7epqIvOTLVYoWl2oE5sAyDEKfn2nVn0mD5Drp20P00tnFgF+jiXDQd8dn7jjZpior2/dR mSJncHUv6nrY2KFAGhcHfWGACdLD7ezsz9d6tn9JhAqDPfKIY9S8O3ynRk2wDMDwdNwqjU/8 0g/p1dFS9uVFbaysbYTaLkdJjKY7K3R1jzyKnHq0yKhYC/NMDaY62sEdgu20SygZ4mSV9zEB y/Ipvaoekhm02afoD7kI0MHxQ47PHMxvup0fUDSjDRhZIR+Q9KFKAi9pcA62cskDmGgieanK 5L/lDK+QC2SGXOyQQDAA+Bh3BLGfP2PCHAluTbHU5qDLOOXabFdrflgOx91z0NAL9vYtJvxu q8oB+treBY2gvrBsr5lEvutHNvT8PUa1xnQzvD20yht62/1CeUt4QmfNIie8bjfiwm+64ZjP LtTwmwsqRQG34FYmWmJaGjAySR7Y2UJWuWjSXNjnzdhUF/hobGPE9kUUw5vxEqOky00B3cfQ 4P4Sul2J8zEYzs4uawYHu3Mq0d5fBR7/vUjeySQyJqh+e3u+r8HthxWxiPaeu2HXcGR7fEnq LMJPu1Q6e8+Oq5H1wsqj5CLQurB9SEs1d6OLSABUFKpHMiXR6kXZSqAtYLeKJUaDySRPjeV7 Gto9qYyvgMM7gIdK4tQM5aiyGlgtOQ06CTdwVj+EK/sQxMB5HandpQO7TxVHXLpJEyOYBjQT Unt6qBzKPVQ3uGoMsMfhwLYe8QgV9gXEAOIHMBMYZk47LEl0KrS9NtX1Y5HYbgyM/sv8OxLw CtBOKzvzCT+WVS1tJ+zQsF2Ot98ztljCNjmdbQ9Kw282qB0sG+2BkkXCIvC2qAUvhkoIr0+P 0G1RUkCQkHaXHgBs26JFd0NWMS+29KF+9M0ps++CJogcrgGutntqANvaBFbC1+w9upE0v/vr Bk0YExpodNpjDPjhLAeXDOxOxAqVlW44N5QoH/kSuXe1w2dQL4aDtSPR0aYciDxXnWLpgH84 8qTiJsC+/Zg2jWN7KCUpmiLgJ32Uem9L1mpwI9c1lYibs779/OJiasPTKFm5IYbljZusCzoV 0CDyjmIQUN/Fjhkn/FxmqDIMkbUHgexADwn3xbnj0eVMBp5YbbUpPWv2R88XSwFUXTbJQnkG bew86ZKGhBjuazDIFIQ719ME0kTQSFF1SLA0IOwjiyyjWZljCQLqe22CDfc/BCW3vmqq0cfu GLBftl9B83DqIrmSttsmO8IzAkMYe3RZdqd+Lhqsl3ZPhStprM443CwT1Oy3DgRtw1XQYWzy PkNAbaCDguGOAfvo8ViqpndwGMe0SsbrXhw6yiLw6Ygxc2GEQZj7ndhxDVt13wXbKPQ8Juw6 ZMDtDoNp1iWkrrOozumHGot93VU8YjwHAxmtt/K8iBBdi4HhGJAHvdWREGZsdjS8Pj9yMaPP tAC3HsPAMQiGS32JJUjqYH23BaUk2iUe3BRGRSQC6u0PAUe3rgjVukYYaRNvZT+HBP0R1eGy iCQ4ag8hcFh6jmro+c0R6ccPFXkvw/1+gx7moVvCusY/+oOEbk1AtfIoOTnBYJrlaEcJWFHX JJSeRImP9LquRFugcBWK1uL8q9wnyGBUCkHaKx1ScZToU2V+ijA3eeWzzWdrQhtGIZjWt4e/ tuOMB0bffvn+6ePz3VkeJhNfIIc8P398/qhdfABTPr/9++X1X3fi49O3t+dX9wWGCmTUxAad 5i82EQn7QgyQe3FF+xLA6uQo5JlEbdo89GyzkzPoYxAOP9F+BED1f3SUMRYTZmVv1y0R+97b hcJlozjSt+Qs0ye2gG8TZcQQ5pJomQeiOGQMExf7ra0iP+Ky2e9WKxYPWVyN5d2GVtnI7Fnm mG/9FVMzJcywIZMJzNMHFy4iuQsDJnyjhGFJ3EzbVSLPB6nPA7W1qBtBMAeeLorN1nbvpOHS 3/krjB2S/N5+tqjDNYWaAc4dRpNarQB+GIYYvo98b08ShbK9F+eG9m9d5i70A2/VOyMCyHuR FxlT4Q9qZr9e7Z0RMCdZuUHVwrjxOtJhoKLqU+WMjqw+OeWQWdI0+uU1xi/5lutX0Wnvc7h4 iDzPKsYVnQ3BS6sc7LdeY0uYhzCzZmaBDhXV79D3kKbcydE6RgnYVpQhsKMwfzIXA9pWrMQE 2BobXvkYn6kAnP5CuChpjN1ZdKCmgm7uUdE390x5NuYFq71KGRSp0w0BwbVpdBJqa5TjQu3v +9MVZaYQWlM2ypREcYc2qpJOja9aq8FZl3KaZ/avQ9729D9BJo/UKelQAlmrLXEjcjubSDT5 3tut+Jy29znKRv3uJTqaGEA0Iw2Y+8GAOq+HB1w18mA2Z2aazcY3DounHq0mS2/Fbv9VOt6K q7FrVAZbe+YdALe2cM8uEvx8xPaCo9U2KWRuizAq2t022qyIyVI7I05J1H4AsQ6MOqVN91Ie MKD2p4nUAXvt60TzU93gEGz1zUFUXM42v+KXlVWDnyirBqbb/KBfhW8ndDoOcHrsjy5UulBe u9iJFEPtUyVGTtemJOnTF/jrgBolmKBbdTKHuFUzQyinYAPuFm8glgqJDYlYxSAVO4fWPabW 5w1aE9buE1YoYJe6zpzHjWBgZ7EQ0SKZEpIZLEQjU2RNhR4B2mGJuk9WX3102jgAcIWTtbbJ qpEgNQywTxPwlxIAAqyXVK3tNmVkjAGg6IzcB47kQ8WApDB5dlCMtfPWv50iX2nHVch6v90g INivAdDbl0///gw/7/4Bf0HIu/j5n3/+/jt4KXR8wI/JL2VrzbDTa5a/koGVzjWzvbgOABks Co0vBQpVkN86VlXr7Zr6zzkXDYqv+QM83B62sGiJGgOASxO1VaqLcbN3u250HLdqZjiVHAHH rNYyOb8DWqwn2usbMBs1351UEr1TNr9nD/c/Foi+vCB3AANd288jRsy+IRkwe1iqDV6ROL+1 xRA7A4MaWx3ptYdnNGpkWYcEeeck1Raxg5XwOCl3YJiqXUyv2guwkZjsU91K9YwqqvByXm/W juwHmBMIq4MoAF00DMBkqtI4DLA+X/G45+sK3Kz5+c9RwVNzhBKc7evBEcElndCICyrJa4AR tr9kQt1Zy+Cqsk8MDGZdoPsxKY3UYpJTAPMts4IaDKuk45XXrnnIiox2NTrafIWS6VaedbkI gON6U0G4sTSEKhqQ/6x8/P5gBJmQjEc5gM8UIOX4j89H9J1wJKVVQEJ4m4Tva2pXYY7zpqpt Wr9bcdsKFI1qtehzqBBd/hlox6SkGNi/xFYv1YH3vn1PNUDShWIC7fxAuNCBRgzDxE2LQmob TdOCcp0RhBe3AcCTxAii3jCCZCiMmTitPXwJh5sNaGafDUHoruvOLtKfS9gR2yejTXsNQzuk +kmGgsHIVwGkKsk/JCQtjUYO6nzqBC5t4BrbwZT60SMtlkYyazCAeHoDBFe99ndgvx6x87Tt P0RXbJLO/DbBcSaIsadRO2lbg+Cae/4GHfvAbxrXYCgnANFOOMcKJ9ccN535TRM2GE5YH+fP /j9i5DfB/o73j7GtFgYnWe9jbKAEfntec3UR2g3shPVdYVLaz7Ae2jJF96wDoAU5Z7FvxGPk igBKPN7YhVPRw5UqDDz0446SzWnrFWlYgEGEfhjsWm68fipEdwdWjj4/f/9+d3h9efr4zycl 5jmuu64ZGIDK/PVqVdjVPaPkZMFmjGKucTARzoLkT3OfErNPE09xbr9EUb+wtZgRIc9TADW7 NoylDQHQrZNGOtudk2oyNUjko30QKcoOHcAEqxVSgUxFg6+EYhnZjsbgkbjC/O3G90kgyA8b u5jgHpl5UQW1tTNyUN4R3ex0Lxf1gdxwqO+Cuyprg5IkCXQqJd85tz0Wl4r7JD+wlGjDbZP6 9vE/xzLbjjlUoYKs3635JKLIRxZWUeqoB9pMnO58W9PfTlCoJXIhL03dLmvUoEsTiyLjUisJ aztQCw4MB9J1YFiA3rf9RtroTRyqvMUH9yYFlCvMBKnI8gpZGslkbL/4Ub/AuBIyn6LEf2I4 fgqm/4PaYGKKLI7zBO/mCp3bF/RTdeKaQrlX6RtRPTF9Aejuj6fXj8YJl+OPV0c5pRF1zGRQ fbHL4FiW1ai4FGmTte8prn3rpqKjOAj3JVZw0fh1u7WVUA2oqv+d3UJDQdAMNiRbCxeT9lPG 8mJtwdSPvkY+LUdkWpoGv13f/nxb9DaVlfXZmkL0T7NZ+IKxNAWHsjmyTWwYsHuGbJsZWNZq ykvuC2TXTTOFaJusGxhdxvP359fPMO1P9ru/kyL2RXWWCZPNiPe1FPYVHmFl1CRqhHW/eit/ fTvM46+7bYiDvKsemayTCwsaxwFW3cem7mPag02E++TxUIGLoanoI6ImLatDWGi92diSLmH2 HNPe2/5MJ/yh9Vb2BTwidjzhe1uOiPJa7pCK9UTpZ9OgL7kNNwyd3/OFS+o9MmczEViVDcG6 NyZcam0ktmtvyzPh2uMq1PRUrshFGPjBAhFwhFqJd8GGa5vCFvVmtG6UoMkQsrzIvr42yHTq xCJD3RNaJtfWnq/mT8eeACa8qpMSZGuuZHWRgfsRLp/xFQTTNlUepxm8vAAzsFyysq2u4iq4 j5J6lIC3No48l3z3UZnpWGyCha0IZKe1zvq84QdepWasNVeJhd+31Tk68U3SLYw9UALrEy4j tZCCvhfDHGxlkrmvtPe6Vdi50VqG4aeaJ+01aoR6oYYvE7Q/PMYcDC+u1L91zZFKWhU16Ijd JHtZHM5skNEIPkOBRHKvb/A5NgGrZ8j4ksstZysTuKaxH5JZ+er2zdhc0yqCsyM+WzY3mTSZ /YDAoKKu80RnRBnV7BvkuMbA0aOoBQXhO4kCL8I192OBY0t7kWq0CycjolBsPmxqXKYEM4ml 9HGJlYqzDuBGBJ6uqO42R5iJIOZQW0d9QqPqYM90E35MbRseM9zYunkI7guWOWdq4SnsN7QT py9CRMRRMouTa4aVoCeyLex5aE5OP8b81TqYJBTUL3vITMP5gc8cZk6hlBTfZBVXskIc9RNx 7ovADnllex7D1EHYj6lnDjRo+Fq4ZrH6wTDvT0l5OnOtGh/2XBuJIokqrtDtWW2m1FKYdlyH kpuVrYk0ESAWntne0NWC65oA99qbDcvgQ3qrGfJ71X+UPMYVopY6LjoYY0g+27prnFWjBeU7 a6Izv42mXJREAllNn6msRg/DLOrY2kcuFnES5RW9t7C4+4P6wTKOKunAmUlV1VZUFWvno2Ba NQK+9WUzCNfgddK0mf0M2eZFLHeh7Xgbk7vQNnXpcPtbHJ4rGR61LeaXIjZqn+PdSFh7py9s A2cs3bfBbqE+zvCet4uyhk/icPa9le0gxiH9hUoBvfSqTPosKsPAFstRoMcwaoujZ5/bYL5t ZU3t+bsBFmto4Ber3vDU2gUX4idZrJfziMV+ZWtCIw4WU9udg02eRFHLU7ZUsiRpF3JUQyu3 DzxczpFdUJAODj4XmmQ0ZcSSx6qKs4WMT2qNTGqey/JMdaWFiORdlk3JrXzcbb2FwpzL90tV d9+mvucvjPUELYmYWWgqPV3118GH4GKAxU6k9pWeFy5FVnvLzWKDFIX0vPUCl+QpXI5n9VIA Iqiiei+67TnvW7lQ5qxMumyhPor7nbfQ5dWeVAmS5cKclcRtn7abbrUwRzdC1oekaR5hLbwu ZJ4dq4X5TP/dZMfTQvb672u20PwteJ8Mgk23XCnn6OCtl5rq1kx7jVv9YGyxi1yLENmrxdx+ 193gbDvolPP8G1zAc1o7vSrqSmbtwhArOkm34Ji272JwZ/eCXbiw5GiVfjO7LRasFuU7e4tH +aBY5rL2Bplo+XKZNxPOIh0XEfQbb3Uj+8aMx+UAMVVwcAoBhgOUAPWThI4VOM1bpN8JiQws O1WR36iHxM+WyfePYLcnu5V2qwSWaL052yrJNJCZe5bTEPLxRg3ov7PWX5JsWrkOlwaxakK9 ei7MfIr2V6vuhkRhQixMyIZcGBqGXFi1BrLPluqlRn430KRa9PZhHlphszxBewXEyeXpSrae HywsAbIt0sUM8aEeovDbY0w164X2UlSqdjzBsoAmu3C7WWqPWm43q93C3Po+abe+v9CJ3o8b fE5orPLs0GT9Jd0sFLupTsUgYS+knz1I9P5rOC3MbFsrBgtDcG/c9VWJzjYNqXYn3tpJxqC4 eRGDanNgmux9VQqwraGPDSmttyOqExKZw7CHQqBHhMM9TNCtVC206Nx7+FBZ9BdViQJ5gB0u s4pwv/ac8/WJhOfay3HNwfhCbLgB2KkuwVemYffBUAcObdY2SHrhowoRrt1qONa2dYERAysC SqROnE/QVJxEVbzA6W+nTAQTxHLRhJJ+GjgaS3xKwQG9WnUH2mG79t2eBYdrnvGZAG4GMNtW CDe5x0RgQwJD6Qtv5eTSJMdzDo280B6NWtKXv1iPfd8Lb9RJV/tqXNWJU5yzuZKlfStS430b qA5QnBkuRH4SBvhaLLQyMGxDNvch+L5gu69u/qZqRfMI9gm5HmL2q3z/Bm4b8JwRUHu3lvDC M84iXR5w046G+XnHUMzEkxVSZeLUaFQIvI9FMJcHqG/cH2Jet2O4EK+iYUJS810j3BpqLv5W 9YmFSVDT281terdEa1MfemQw9d+Ac3V5YwQrAWE3Tnwz1xQZPf/QEKoejaCaN0hxIEi6srYM I0LlJY37MVzVSPuZiwnveQ7iUyRYOciaIhsX2YzqFKdRISX7R3UHuhS2CRFcWP0T/ov9Chi4 Fg26FjSoKA7i3raPOQSOMnRtZ1AlCDAo0oQbUjVuP5jACgJFGSdCE3GhRc1lWOV1pChbnWf4 cn2bysQwF/USvfHHVQcn9bjWRqQv5WYTMni+ZsCkOHure49h0sIcmkyqiFzDTj4hOR0a49jq j6fXpw9gNcHRlwRbD1M3utjquINbwbYRpcy11Q9phxwDcFgvczgLm1Uhr2zoGe4PmfE7Oeu5 llm3V0tTa9sdG1/NLYAqNTh48TdbuyXVZrFUubSijJECi7aT2OL2ix6jXCDHVtHje7gZs0Yx GBkyb+VyfLXYCWPyAo2uxzKC5dy+fxmx/mjrxFXvK3tIZbaXMKqKVfZHaV2xG0uyTXVGzpQN KpEsUZ7BwpZt3mNSeUBoHisxWz/AxO5C1MpRJNNrLvn8+unpM2OkyNR6Ipr8MUL2Hg0R+rYI aIEq/boBfw9JrF1woy5nh0uh/u95Dj3ntAmkgmcTSWfrr9mMvUTZeKEPcg48WTbavqn8dc2x jeqiWZHcCpJ0sDIjeyp23qJUvb1q2oW6EVojsL9gG6t2CHmC12pZ87BQgUmbRO0y38iFCj5E hR8GG2GbIUMJX3m8af0w7Pg0K6SaZzOO9UdUSe12Y9912ZyaWupTliw0OVzwIiO5OE+51COy eIFQ84LDYAfxejCVL19/gQh3382o0mZwHE3IIT6swCqFleeOo4nyHGockGBLpAfDTNrGCa12 8pDfRt1ZHLG1bZoXMWpyEW5O98f40Je25e2BIJY6B9TV3RsIR6EL42ao9WsnG8Q7Q5Fondlo 39rS+Fho0QXYnKuNu6VGSnADBiXJ0ZkzIebJxaMfc1ICsDvBGdiKFvIBuFkTu4a2QLcfjOs4 djg8RHlnL1ZjrTCYNrt6RH5kx0JmaXZxa0VGUdm504OMvG0mYS+A5X5K34iI1I8cVtZun1WT +iFpYpG7GQ5m9dyhaiTed604spP1wP+Mgx5m1gPahe1AB3GOGzhv8LyNv1rRzph2227rdl4w k87mD/cfgmUGe2q1XIgI+ma6REuTyRTCnUwad16GXYDq3aYC6KBoat+JoLB5OAQ+YcHxTV6z JY/A2LIo1S42O2aRkozcFUSqfbx0ywjiwnsv2Ljh68ZdNoiB4DGNS3I489ViqKXqrK65Wwex O9oVttwkWX5IBJz7SLp3pGw/dsVpX0LERBo5apvcqOnRXPUzE6RDo2T8ulGy3z2HDQ+3JuFf o/Yyn9fuB9Y1Uo8/XaLR3+0PG0PCEACdraIzAPOhCmLiyJpLBl/mEXXkntVFBqpGcY5OrAAF SYE8EDS4AKP/WlWZZWRLrDIANZhL0DUD9wYkL3vXYQA19RLoKtroFNu6jiZTOLepUhr6PpL9 obCtLxn5FHAdAJFlra2NLrBD1EPLcGozqXaqse0TbYK0Byu1dS8Slh3kVo7Syhl9Ux7R09SZ x+LpjE8und0Uiw7S40quz784nNianQkyVcwEkaBmglrdtaLYo2qGk+6xtM2gW99et/YrblAM zoxPOi3Qmvegdx+Wzx6mjbC9zYIH6mqL06/R0eaM2vdgMmp8dMhajybc7DOTxYKM0eARJnVy Da9CNZ5cpH2i0Ebq/7V9iw5AJumFqEEdgNzSDSAoNRM7WDblPuWy2fJ8qVpKMql1CQlzUd8B GoXdI1PMNgje1/56mSFXo5RF36kqcTDXNgBKRsgf0dQ+IuSp8QRXqd2k7oGWecnkR8zjMXQO ripMP0dQdWotOJkxAlDbmxSNqZ0yfj6lQGNm25hr/vPz26dvn5//o0oCmUd/fPrGlkCJKQdz oqiSzPOktF2zDIkSXfUZRXa9Rzhvo3VgqxGNRB2J/WbtLRH/YYishEXYJZBZbwDj5Gb4Iu+i Oo/tlrpZQ3b8U5LXSaPPnHAbGG1/lJfIj9Uha11QfeLYNJDZdFp6+PO71SzD9HSnUlb4Hy/f 3+4+vHx9e335/Bl6lPMCTieeeRt7iZjAbcCAHQWLeLfZOliIjFHqWjCuDTGYIc05jUh0w6yQ Osu6NYZKfUFP0jIuk1SnOmNcZnKz2W8ccIueSBtsvyX98WKbBx0Ao/Y5D8sf39+ev9z9U1X4 UMF3f/uiav7zj7vnL/98/gimfv8xhPrl5esvH1Q/+TtpA736k0rsOpq3s5oPIFW01DCYWGsP GBw9F2MQJiF3gMaJzI6ltv6EFwBCui5SSACZg9+WH0vR7Z09cEmKFn4NKRmFDImkSC40lF7O Se2436WnKmNVKSvfJRE21wY9sCBTAzrOGAAlcTuz77v3611I+tR9Uphpw8LyOrLfvOgpBgs1 Gmq3WEkEsMt23VGwVJJanJEEK/J6UGP4LTAgVzLVqVlmoUHrTjgA17TMSYeGzyTrJstI9TX3 AfkyeeoLNRvmpPPJrGgTElmLi+maA3cEPJdbJdL7V1JCJbI9nLUxWASTs7IJ6g91QT7JPX21 0T7FONh2EK3zcYNpAVITg7cRjOX1nvaFJtLn/XpuSv6jpIivanuqiH+YBeFpsDDOLgRxVsEz tDPt1nFekpFWC3KlaoF9jnV0damqQ9Wm5/fv+wrvueB7BbzCvJDe1mblI3mlpufeGowuCH2y oL+xevvDrL7DB1qTMP644bEneDsrE9Lp9R4ELIAUSKEfqPedv9+SDpTqncx8N7m0GuOeeCbf wgwdDY2m3shsCtZb8KHljIN4wOHmKSEqqFO2wGrsKC4lIGqHINHpQnxlYXxWWDtGqAAa4mDM umers7vi6Tv0yWiWU5yX+hDLnPih3MHQr/20R0NNAT42AmSs3YRF+wYD7T3Vy/CJGOBdpv81 fhEx56zBFoivhwxOjkdnsD9JtJMYqP7BRalbHA2eWzjnyB8x7KzwGnSvF3RrjYswwa/kPtFg RRaTo/QBL9C5GYBowtAVSSwJ6Pdw+jjS+ViA1TwcOwQ44kjzpHMIvMQDolZw9W+aUZSU4B05 Q1dQXuxWfZ7XBK3DcO31jW1pe/oE5AlnANmvcj/JODlRf0XRApFSgggFBtttbUsFurJq1ZPc yoUn2NlDLyVJtjIzLgGVuOCvaW5txvRQCNp7K9s1tIaxxzuA1LcGPgP18oGkWecrn4bshE/L YzC3x7re7DTqFF3LK+4XIXllCkducBQsg2jr1JGMvFDtL1ak+CDOyKxKKeqEOjnFcW6JANPL RdH6Oyd/fPY+IPhhtkbJcfwIMfUhW+g1awJite4B2lLIFax0t+0y0gu1XIVeRE2ov+plmgta VxOH9Uo15chRGlX76DxLU7j9IUzXkZWEuUxXaKedw2KICGcao3MIKD5Iof7BvhSBeq8qiKly gIu6Pw7MtF7Wry9vLx9ePg8LJ1km1f/RsY4e9lVVg1Er7cSAfHaebP1uxfQsPNGbzgaHzVwn lI9qlS/g6L9tKrTIIl06ONkG5W9Q1IZjo5k6odNhmaGTLKP3JzPrKOP7eNah4c+fnr/aeoCQ AJxvzUnWtnEN9QObaFLAmIh7xAWhVZ8BZ9H3+rAdpTpSWq2IZRxh2eKGpWsqxO/PX59fn95e Xt0znbZWRXz58C+mgK2aezdgazOvbPsNGO9j5KAJcw9qpn6w5L06DLbrFXYmRaKYATSfRDvl m+INR2pTuQYHqSPRH5vqjJonKwvbkpQVHk7i0rOKhvWnICX1F58FIoxg7BRpLIrWCremgQkv Yhc8FF4YrtxEYhGCSta5ZuKMmj1OpCKq/UCuQjfKtJA5cZr3wmNRn0NLJqzMyqO9AZ3wtrAt MYzwqEDkpg566274wam9ExyOHdyygMTuonsOHc7LFvD+uF6mNi6lpXePa5VR2HcIc3mGr3ZH bvATiPrwyNFea7B6IaVS+kvJ1DxxSJrc9psyf73aEC0F7w/HdcQ0EwjMHKjkmzNLhLbbdIQ/ 8PjDQviHjunuWheA+TSz4RN1uNouslHteVw/GjeLXOMPF7YuAUdhHOhvmDED+I7BC8l8u9De oNfMBAREyBBZ/bBeecyUlS0lpYkdQ6gShVtbUcYm9iwBztI8ZuBDjG4pj71tBA4R+6UY+8UY zIT5EMn1iklJS/BaBsG2ujAvD0u8jAu2ehQerplKcFzSj8Rw77yAQ6e8xW2ZyU3tGeqUmZcN vjC7KBLW0gUW4plDdpZqQrELBFOUkdytmfE2k8Et8mayzGw8k9wkN7Pccjmz0a24u/AWub9B 7m8lu79Vov2Nut/tb9Xg/lYN7m/V4J6ZQy3yZtSblb/nRKWZvV1LS0WWp52/WqgI4LixMnEL jaa4QCyURnHIo6HDLbSY5pbLufOXy7kLbnCb3TIXLtfZLlxoZXnqmFLq4wQWVZLAPtxyYps+ WeDhdO0zVT9QXKsM1zhrptADtRjrxM40mipqj6s+NWV3GQuvs15wQoSiNnyMrYoRcGL3SPUN S4aK5LrLQAXLVBgwctzM3cxvmTwtZni6EesSMGucovZQFr4eDbWQ5GalWHb1m7gbMU/McBgp rmONFJekuRPkYY8by+acius85i6xQxYzJi7rsypOcvup6shNh1NOrOm+MY+Zkkys2sDcomUe MyueHZupz5nuJDP6rZJtmc+1aI8ZNBbNTcF23tBdjRLT88dPT+3zv+6+ffr64e2VedCVZGWr 9QPd7cYC2BcVuoezqVo0GdPp4Yx2xXySPrlnxpbGmSmtaEOP240C7jNzGeTrMQ1RtNsdt5QD vmfTUeVh0wm9HVv+0At5fOMxg03lG+h8Z92qpYajUd8z+zNzaesx/deoWfBwf+wOTK+cHNEv UKHaLXDnOTqa6Bjxf6JuxTx6PjPDqN0qugMdcbXj2eVcz9AEJwlowha6YBcAd1kU6FMh2xp8 7+ZZkbW/brzpXUGVkr3DGCVrHvCJlTl2cwPDwbHt1kFjw+EdQbX97tWsnvj85eX1x92Xp2/f nj/eQQh3bOt4u3XXkTtKjdPrZAMSPSwD4ktmY4fBMmaW2O90jG2PqOjvK9v9jIGpSpbRmqQ3 tgZ1rmyNaRBxUQ2YkYTjq6hpsgmoyaN7IAMXFEAvRI1yVAv/rLwV3zCzghChG3wTq8FTfqVF yCpaX857R9Pih3Ardw6alO+R/T+D1sYkOukz5maUgPgYyWAd7W51vtrSmPraYqFeB8Ub1LdF ITaxr4ZcdThTLqvoh8kS7gVAL5UMETczNSD7Dky1O4Mpsu9bNUhklRnzwi0NSmxnGdC5R9Ow ezlmzNN04WZDMKPi/8PFekk7Lb1JM2BO+wvcjFGItr0o4j7FdxQ35oxJmVOjz//59vT1ozuX OJ4fBrSkBTxee6T1Z81gtH416tNv1grNgYuCoRmKtnUW+aHnNJxc71erX4mmEvk+M5em8U++ 25iHorNcvN/svOJ6ITi1mmpApBOioXeifN+3bU5gqjE5zBDB3naFPYDhzqkjADdb2gfpwjlV PRiEckYX2DEjI2Z+AkkIbWXMHUqDASIO3nu0JtqHonOScOxRapTakhxBc3Y6d3W3SQfV8Own TU1Vt01N5d0hdTA1k5+cHuoiahcTqz88+oHaha6m7McYZjaNo8DXn2k9dXFKPt2I3/wiJQB4 W5qBfrm8dyrSDFHn66MgCEPaEnUmK0nnv07Nq+tVYBecKaDxuSMPtwuOtB2n5JhouLBVdG/r rlxt54AeXNGPmyPvl39/GlQWHU0CFdJo7mkXLPZaNTOx9NUMs8SEPsfAQstG8K4FRwwSxfT1 TJntb5Gfn/7nGX/GoLgAXn1RBoPiAno3N8HwAfaFJibCRQK8mMagaTHPEiiEbbUSR90uEP5C jHCxeIG3RCxlHgRK7ogWihwsfC3SdMfEQgHCxL6VwYy3Y1p5aM1p6wKvMHtxsb10DnfjcE5S FcK2/mtCN4m0TelboJbGsZBOWZDVWfKYFFlpPQvlA+FrFcLAny168WyH0K8lWQZfG1qEvr2q K74Ghpv4W9WhX9kwL13tMHkb+fuNzydw84MuapOEXcrYLJEQbQoMFLbVEjtIvDe4nzRSQ98X 2OR720lscqiq1tg7nMAhC5ZDRdHm22gJ5Lmu80ceparUdSwMb603w25MxFF/EKAMbB0TDhb9 YCpCi4GBSUqgFUYxUJ86wnBTIu/KttM+ZNWLqA33641wmQhbDRxhmBrs61MbD5dwJmON+y6e J0e1m70ELuPYvRkJeZDuFyOwEKVwwDH64QGatVsk8PtMSp7ih2UybvuzanPVMtjp4FQJRMYe C69wZIvVCo/wqXm1GUymdQk+msvEnQTQMOzTc5L3R3G2H36OCYF5/B162UwYpiU149vC2Vjc 0Qqny5BON8KZrCETl1B5hPsVkxDsH+zjhRHHZxtzMrp/zA00JdMGW9svs5Wvt0b2m6am07ap qiHI1n5TaUUmGxbM7JnvMVoNxeHgUqqzrb0NU82a2DPZAOFvmMIDsbNfRVjEJuSSUkUK1kxK w85p53YL3cPMGrRm5oXR3JvLNO1mxfWZplUTGFNm/VZIydm2At9UbDWV2xLW3PfHWd6Jco6k t7J1wU/XAlswUD+VtB9TaHj1Y05SjSWtp7dP/8P4YjXmOCVYeA6Q/vSMrxfxkMML8F+zRGyW iO0SsV8gAj6PvY9sIUxEu+u8BSJYItbLBJu5Irb+ArFbSmrHVYmMyMOMkQAbZRG2MmozNceQ k+kJb7uaySKWW58pq9pnsSUaDAcjnw8jl23uwfKaS6Q7T+1CUp4I/fTIMZtgt5EuMZrXZkuQ tmoveG5hNXTJY77xQmxxayL8FUsoMUSwMNPsw2vh0mVO2WnrBUwlZ4dCJEy+Cq+TjsHhmBxP CRPVhjsXfRetmZKqtbnxfK7V86xMxDFhCD2XMl1XE3suqTZSSwbTg4DwPT6pte8z5dXEQuZr f7uQub9lMtc+eLjRDMR2tWUy0YzHTEua2DJzIhB7pjX0UdKO+0LFbNnhpomAz3y75RpXExum TjSxXCyuDYuoDtjJvci7Jjnyvb2NkKOFKUpSpr53KKKlHqwGdMf0+bywjUvMKDfBKpQPy/Wd YsfUhUKZBs2LkM0tZHML2dy44ZkX7Mgp9twgKPZsbmqXHTDVrYk1N/w0wRSxjsJdwA0mINY+ U/yyjcxxWSZbbAdu4KNWjQ+m1EDsuEZRhNrhMV8PxH7FfOeoeu0SUgTcFFdFUV+HeMOFuL3a wjEzYBUxEfQ1y96q5RrbaZnC8TAINj5XD2oB6KM0rZk4WRNsfG5MKgKrcc9ELTfrFRdF5ttQ LadcL/HV9okR0vR8z44RQ8zuGOadjhUkCLmZf5h8uVlDdP5qxy0jZtbixhow6zUnFsJWbhsy ha+7RM3xTAy1x1irnSfTIxWzCbY7Zmo+R/F+tWISA8LniPf51uNw8P7AzrG2UsHCdCpPLVfV CuY6j4KD/7BwxIWmdnIm6bBIvB3XnxIltq1XzFSgCN9bILZXn+u1spDRelfcYLj503CHgFsB ZXTabLWl1IKvS+C5GVATATNMZNtKttvKothyUoZa/Tw/jEN+j6W2hVxjak+nPh9jF+64DYWq 1ZCdPUqB3rPZODe9Kjxgp6E22jHjuD0VESeUtEXtcfO9xpleoXHmgxXOznCAc6WcTpldJhPb cMtI/ZfW8znJ8dKGPrc5vYbBbhcwWxsgQo/ZoQGxXyT8JYKpJo0zHcbgMKeAapc7Qys+V3Nq y9SLobYl/0FqdJyY/Z1hEpYi19MjTsw8avlCWEUdADXCRJtJ7Lp+5JIiaVQy4BBhONPvtXJs X8hfVzRwlboJXJtMuyru2yarmQzixJiFOlYXVZCk7q+ZTLRW4o2AqcgaY3ae9fjNRQFnG8YX 91+OMtx95XkVwSrMOA0fY+EyuR9JP46hwdiI/g9Pz8XneVJW62y0Prstb14TO3CcXNImeVju KUlxNq47XApr+2nPO2MyEwrPGB1QP4N2YVknonHh6fLRZSI2PKCqAwcudZ8199eqil0mrsbb axsd3i26ocHJk+/ioJs8g0bZ6evb8+c7MJ/0BTm60KSI6uwuK9tgveqYMNNF7e1ws/cWLiud zuH15enjh5cvTCZD0YcnuO43DTe0DBEVap/A49Jul6mAi6XQZWyf//P0XX3E97fXP79oGwGL hW0z7WXKybrN3I4MNlMCHl7z8IYZJo3YbXwLn77p56U26jNPX77/+fX35U8aHh4ytbYUdfpo NYNUtNsZI42qdL+/Pt2oR/0qQlUl0duYLa9xBbqZ9piEfW1Kyvbw59Nn1QtudEZ9mdLComZN GtOz0jZR5RK50CWeSrWY6piAUVd3O830osFhJjPVPyhCbIRNcFldxWN1bhnKWObu9RV2UsL6 GDOhRkVtXVHXp7cPf3x8+f2ufn1++/Tl+eXPt7vji/qory9IiWiMrIQysJxRnfVixqSOAyip gflYGqisbD3ipVDaXrhujhsB7ZUWkmWW159FM/nQ+omNxyrXnlmVtoyxcQRbOVnj3RzUu1E1 sVkgtsESwSVlVAodeD7qY7n3q+2eYfQk0DHEoIrgEoOTBZd4n2XaUZ7LjP7zmILlHfjnRiun CgleFt3AmjtIwVOjoQCOlcXe3644pt17TQHnAwukFMWeS9Ioj68ZZngvwDBpqz515XFZnXQN BZG/tul5p0CZuZdcGdCYc2MIbQeM62r61QLXcuWm3XohVwHwDpPBRzP6TAy1LQxAeaJpuT5a nqM92wxG7Z0ldj6bExy68xVg7uF9LjUlcfq4LxpTGhjTfk2ZdKsO/IqgoDJrUpA2uJqAJxXc F+n108X1GoYSn59EscMdSA5X62+b3HNdYHQswnDD8w92hORC7rh+o1ZxKSStOwM27wUe88b0 CzOjmJXXJaall8m5jT3PHrLzIIIH0W6EWlu84D4uz4qdt/JIq0Yb6D6on2yD1SqRB4waPXlS A0ZvGoNK7l3rEUNALVZTUL9bWkapXpridqsgpP36WMekXxc1fJf5sCm2Nme8XdGeV/bCJ7UC LkgQcC5yu0pH5fZf/vn0/fnjvABHT68frXUX/HhGzFoUt8Z+4KiY/ZNkQDeESUaqJqorKbMD 8jNjv3KBIFLbd7X5/gCbYOQmBpKKtBczPsmRJemsA61wf2iy+OhEAF8RN1McA2Bcxll1I9pI Y9Q4nYDCaK9afFQciOWwFq3qboJJC2DUX4Vboxo1nxFlC2lMPAerqZbAc/F5okCnTKbsxogh BiUHlhw4Vkohoj4qygXWrTJk7U77Lfjtz68f3j69fB2dqjpbnSKNyWYCkMHtltoNFMeGUI5C KKDGbsKxRoodOvhsexcno73qgaHXyLaCPFOnPHLTAkIWEU5Kffpmv7LPuTXqPlsyxUeXNRoi SpAzhi8aLbyxB7uuQmN3mgVdHxxA0qdKM+bmOuDIdKTOgL4HnsCQA5HxFXjkOKiXopDD1gMZ fR5xW3NmwgIHQyqoGkOvwgAZjhvyWtjH+PpbIy/oaGMOoFsDI+FWWadSb5zuqISzjRL4HPyU bddqMcIWoQZis+kIcWrBDrrMIuvbQRLL7GdRACAnF5CcfgwXFVWMHO8qgj6HAywMlVBBe6sB N7SDUHXTASV6pDNqv0Ob0X3goOF+RZM1z/gxNu4ard3D+844lscdESvwAoQeQFk4yMgYcfWC RwRrlE0o1uYdntoRPxc64SJ0+pwWlpuaTE6MYTFd1uklmw0ShVSN3Yf2FZiGzOaI5JOtd1vq /lETxca+K5sgsh5o/P4xVN2CDL3ByTz+BnHoNmPN4DSGV5LmFLEtPn14fXn+/Pzh7fXl66cP 3+80r49+X397Ys9AIMAwncxnin89IbLKgE+HJipIIcn7EMDarBdFEKix28rIGe/0oekQIy+s Hgcqyt7KVpw2r0BtVQOD7EjDu69FJxSpPI+5kgeuFoyeuFqJhAyKHpzaqDs7TowzoV5zz98F TL/Li2BDOzPnMVTj5KGrHuX4ybheTIf3xj8YkFl6B4JfBW1zPPo7ig3cTTuYbe3AYOHetoUy YaGDwY0ng7lL5ZXYODTj6LoO6QRhrHDnNbE3PFOakA6TknTGC3EYCMiywHhiNjQn9mm1JBtO kV1loAmiG8SZSLMOfHdXeYt0UecA4FjwbJyRyjP67jkM3D3qq8ebodRSeAxtT06IwkvnTIEA G9rDClNYtrW4eBPYZigtplT/1CwzdNk8rrxbvJqK4T0YG4QIpzPjir0W5wq/M0mWYKtNyWsj zGyXmWCB8T22BTTDVkgqyk2w2bCNg9fyGTei2zJz2QRsKYxkxzGZzPfBii0EKN35O4/tIWqG 3AZsgrDa7NgiaoatWP1AaSE1vFxghq88Zy2xqDYKNuF+idruthzlSpyY24RL0YhIirhwu2YL oqntYiwkohKK79Ca2rH91pWPKbdfjof0Xy1u2KbgZRXzu5BPVlHhfiHV2lN1yXNKSOfHGDA+ n5ViQr6Sicg/M/UhE5IlFiYZV4a3uPT8PvH4abu+hOGK7wKa4guuqT1P2aYIZtgV+13utEjK Ir4ZGXtKmEmyLbAIujmwKLK9mBn6es1inC2BxeVHJTPxtW/EkUNVYddQNMClSdLDOV0OUF9Z aWKQjvpLYR/uWLwq9WrLzrqgyuttA/aLXAkec37Adygjv/ODxJX4KcdPHZrzlsuJdwYOx/YA w62Xy4K2BJZ45Vh1ssQzrVzIEY7W5cxRfUDEIFk4gvMwtMsEpKzaLEVmLgGtbRP3TURnT/BU Zk0xeWYbt2jAO1pUxSA+T2DW9GUyEXNUhTfRZgHfsvi7C5+OrMpHnhDlY8UzJ9HULFMoAfj+ ELNcV/BxMvOklPuSonAJXU/gUF2iuhNq/9kkRWU7E1FpIO3OrGGcvZoCuCVqxJV+Gvb7p8K1 StzPcKFTcPN+j2MSH5oN9vsNbUz9ScPXJ3Ej2gBXvL2ThN9tk4jiPfKeqXpwVh6qMnaKlh2r ps7PR+czjmdhG9FSUNuqQCR609ka5rqajvS3rrUfBDu5kOrUDqY6qINB53RB6H4uCt3VQdUo YbAt6jqjFyL0McbYIakCYxSrQxi8mrChBpwq4lbSlpsRkjQZUvocob5tRCmLrEW+CYEmJdHq KyjT7lB1fXyJUTDbUoi+BNdmPIzXn/nO5QsYNb378PL67DrxMbEiUejz/CHyD8yq3pNXx769 LAWAS/YWvm4xRCPA3tYCKeNmiYJZ16GGqbhPmgZ2QOU7J5bxB5XblUwZVZeHG2yTPJzBPImw z1IuWZzAlGntYg10Wee+KudBUVwMoGkUEV/omYUhzHlFkZUgUaluYE+EJkR7Lu0ZU2deJIWv /k8KB4y+z+tzlWaUo8sNw15LZD5G56AkJtBXZNAYrg2PDHEptOL1QhSo2MzWyrgcyOIJSFHY h/OAlLbVoBYuyx03pTqi6FR9irqFxdXb2lT8WAq4WdL1KXHqxvW6TLRbJzVNSKn+c8RhznlC bjH1YHKvLXUHOsO99NRdjU7e8z8/PH0ZjrTwXf7QnKRZCKH6d31u++QCLfvDDnSUxje7BRUb 5PxPF6e9rLb2oYyOmoe2oDml1h8S28LljCsgoWkYos6ExxFxG0m0G5ippK0KyRFqcU3qjM3n XQLqee9YKvdXq80hijnyXiUZtSxTlRmtP8MUomGLVzR7MPfAximv4YoteHXZ2M+9EWE/tSVE z8apReTbRwuI2QW07S3KYxtJJuidk0WUe5WT/RiMcuzHqvU86w6LDNt88J/Niu2NhuILqKnN MrVdpvivAmq7mJe3WaiMh/1CKYCIFphgofra+5XH9gnFeF7AZwQDPOTr71wqgZDty2oPz47N tkK+qG3iXCPJ16Iu4SZgu94lWiEbsxajxl7BEV0GrsHulWzGjtr3UUAns/oaOQBdWkeYnUyH 2VbNZOQj3jcBdrJqJtT7a3JwSi993z7pNGkqor2Mspj4+vT55fe79qJtaToLgolRXxrFOtLC AFO75ZhEEg2hoDoy21WT4U+xCsGU+pJJ5ELXELoXblfOy1bEUvhY7Vb2nGWj2NU6YvJKoH0h jaYrfNUjr+ymhv/x8dPvn96ePv+kpsV5hV672qiR2H6wVONUYtT5gWd3EwQvR+hFLsVSLGhM QrXFFp2G2Sib1kCZpHQNxT+pGi3y2G0yAHQ8TXB2CFQWtprFSAl03WVF0IIKl8VI9fp5wyOb mw7B5Kao1Y7L8Fy0PbohH4moYz9Uw8OWxy0BqNR3XO5qA3Rx8Uu9W9nWMWzcZ9I51mEt7128 rC5qmu3xzDCSejPP4HHbKsHo7BJVrTZ7HtNi6X61YkprcOf4ZaTrqL2sNz7DxFcfvcee6lgJ Zc3xsW/ZUl82HteQ4r2SbXfM5yfRqcykWKqeC4PBF3kLXxpwePkoE+YDxXm75foWlHXFlDVK tn7AhE8izzb9M3UHJaYz7ZQXib/hsi263PM8mbpM0+Z+2HVMZ1D/yvtHF38fe8giNeC6p/WH c3xMWo6JbYVDWUiTQUMGxsGP/EHRsnYnG8pyM4+QpltZG6z/hintb09oAfj7relf7ZdDd842 KLthHyhunh0oZsoemCYaSytffnv799PrsyrWb5++Pn+8e336+OmFL6juSVkja6t5ADuJ6L5J MVbIzDdS9GTk+xQX2V2URHdPH5++YTPbetiec5mEcJiCU2pEVsqTiKsr5swOF7bgZIdrdsQf VB5/cidMg3BQ5dUWGdEblqjrJrRNtYzo1lmZAdtaflisTP/xNIlWC9lnl9Y5tAFM9a66SSLR JnGfVVGbO8KVDsU1enpgUz0lXXYuBlPNC2TVMMJV0Tm9J24DTwuVi5/8jz9+/PP108cbXx51 nlOVgC0KH6FtBWc4ADTa15HzPSr8BhkAQfBCFiFTnnCpPIo45Kq/HzJbG9NimUGncfOkVK20 wWqzdgUwFWKguMhFndBDrv7QhmsyRyvInUKkEDsvcNIdYPYzR86VFEeG+cqR4uVrzboDK6oO qjFxj7LEZXB2IJzZQk+5l53nrfqsITOxhnGtDEErGeOwZt1gzv24BWUMnLGwoEuKgWt4GnNj Oamd5AjLLTZqB91WRIaIC/WFRE6oW48CtnaiKNtMcoeemsDYqapre++jj0KxJRNdinh4b8Oi sCSYQYC/RxYZeMAgqSftuYZrWKajZfU5UA1h14FaHydvTMPzD2fijESa9FGU0TPhvijq4cKB MpfpKsLpt4OzKicP8yY1Uqtf427ALLZ12PFx6KXOUiXAyxr5O2TCRKJuzw09K1d9Ybteb9WX xs6XxkWw2Swx202vNtnpcpaHZKlY8NzV7y/wFvzSpM6mf6ad3S2x5jrMFScI7DaGA4Hrd6Yo AQvytxvaLfl/aAStiqJaHl1PmLIFERBuPRn1jRiZszXM+BwzSpwPGFxjD6891n3m5DczS6cc m7pPs8JpUcDVyMqgty2kquP1edY6fWjMVQe4VajaXKcMPZEeUBTrYKeE1zp1MqAOrmy0b2tn sRuYS+t8p7YmAyOKJS6ZU2HmkVQmnZRGwmlAo1UfuUSrUPteFaah6eJrYRaqYmcygffPl7hi 8dp2qjf0+vF18TtGKpjIS+0Ol5Er4uVEL6D/4M6R03Ue6Bs0uYicJh37MnS8o+8OaovmCm7z ReoWoPPV5kWN48YpOh5E/dFtWaka6gBzF0ecLq78Y2AzY7jnm0DHSd6y8TTRF/oTl+INnYOb 99w5Ypw+0rh2BNuRe+c29hQtcr56pC6SSXE05tQc3eM7WAWcdjcoP7vqefSSlGdnCtGx4oLL w20/GGcIXefGWcfCILsw8+Elu2ROp9Sg3lY6KQAB97hxcpG/btdOBn7hJkaGjpHWlqQSfecc wm0vmh+1MsHPRJnx3SQ3ULVT1WqZA4+qTgDIFeuPu6OSSVEPFLWt5zlYEJdYY4HBZUH34mef r2d2xaXjvkGarebzx7uiiP4BD7GZMwY4/wEKHwAZRZDpsv4HxttEbHZIPdLojWTrHb0xo1jm Rw42x6aXXRSbqoASY7I2Nie7JYUqmpDeZMby0NCoqp9n+i8nzZNo7lmQ3EzdJ2g3YM5t4IC2 JJd3hdjbp3hWNdubwyEjtWfcrbYnN3i6DdFrCwMzj60MY95sjb3FtQgGfPifu7QY9Cju/ibb O2364O9z/5mTCpFDvv9vydlTmEkxk8Lt6BNFPwX2EC0Fm7ZB+mQ26lSTeA8n1BQ9JgW6TR1a IPW2KVLItuDGbYGkaZQQETl4c5ZOodvH+lTZ8qyB31d522TTudo8tNNPr89XcIf2tyxJkjsv 2K//vnA4kGZNEtP7jwE0V66uphXI1n1Vg+rNZN8LzJXB8y/Tii/f4DGYc3ALZ1Rrz5Fl2wvV DIoezRs0VZDiKpyN2+Gc+mQ/PuPMAbDGlUxW1XRx1Qyn5mSlt6Qe5S+qVPn40IceVywzvGig D4TWW1ptA9xfrNbTM3cmSjVRoVadcfugakYXxDetZ2b2GNap09PXD58+f356/THqUt397e3P r+rf/777/vz1+wv88cn/oH59+/Tfd7+9vnx9UxPA979TlSvQumsuvTi3lUxy0PWh2ottK6KT c6zbDA86Jw+8ydcPLx91/h+fx7+GkqjCqqkH7Ojd/fH8+Zv658Mfn77NViv/hCP8Oda315cP z9+niF8+/QeNmLG/inPsCgBtLHbrwNlcKXgfrt3T81h4+/3OHQyJ2K69DSMFKNx3kilkHazd m+VIBsHKPayVm2DtaDoAmge+K1/ml8BfiSzyA+dg6axKH6ydb70WITLnP6O264qhb9X+Tha1 ewgLWu+HNu0Np5upieXUSM71hBBb42FZB718+vj8shhYxBdwQePsZzXsHIYAvA6dEgK8XTkH tAPMychAhW51DTAX49CGnlNlCtw404ACtw54L1fI4/nQWfJwq8q45Y+c3RseA7tdFB757dZO dY049z3tpd54a2bqV/DGHRxwy75yh9LVD916b6975JbNQp16AdT9zkvdBcYNjtWFYPw/oemB 6Xk7zx3B+gplTVJ7/nojDbelNBw6I0n30x3ffd1xB3DgNpOG9yy88Zxd7gDzvXofhHtnbhD3 Ych0mpMM/fmWM3r68vz6NMzSi3o+SsYohZLwc6d+ikzUNceAzTzP6SOAbpz5ENAdFzZwxx6g rpZYdfG37twO6MZJAVB36tEok+6GTVehfFinB1UX7P1nDuv2H0D3TLo7f+P0B4Wit8QTypZ3 x+a223FhQ2Zyqy57Nt09+21eELqNfJHbre80ctHui9XK+ToNu2s4wJ47NhRcI390E9zyabee x6V9WbFpX/iSXJiSyGYVrOoocCqlVPuGlcdSxaaocue0qXm3WZdu+pv7rXAP8QB1JhKFrpPo 6C7sm/vNQbi3AXooUzRpw+TeaUu5iXZBMW1PczV7uPr84+S0CV1xSdzvAneijK/7nTtnKDRc 7fpLVIz5pZ+fvv+xOFnF8ILaqQ2wdeJqVsL7fi3RW0vEpy9K+vyfZ9gYT0IqFrrqWA2GwHPa wRDhVC9aqv2HSVVtzL69KpEWjHOwqYL8tNv4JzntI+PmTsvzNDwcOIEfHrPUmA3Bp+8fntVe 4Ovzy5/fqYRN5/9d4C7TxcZHHseGydZnzsj0HU2spYLZTvz/mfRvvrPObpb4KL3tFuXmxLA2 RcC5W+yoi/0wXMHzwOEwbbab4kbDu5/xrZBZL//8/vby5dP/8wx3/Wa3RbdTOrzazxU1sqFj cbDnCH1kxAuzob+/RSLbRE66tlUKwu5D2+sZIvV51lJMTS7ELGSGJlnEtT424ke47cJXai5Y 5Hxb0CacFyyU5aH1kBKrzXXkpQbmNkhlGHPrRa7ochXR9pjpsrt2gY3WaxmulmoAxv7WUTGy +4C38DFptEJrnMP5N7iF4gw5LsRMlmsojZQsuFR7YdhIUL1eqKH2LPaL3U5mvrdZ6K5Zu/eC hS7ZqJVqqUW6PFh5tsog6luFF3uqitYLlaD5g/qatT3zcHOJPcl8f76LL4e7dDy4GQ9L9IvU 729qTn16/Xj3t+9Pb2rq//T2/Pf5jAcfLsr2sAr3liA8gFtHSxhewuxX/2FAqqKkwK3aqrpB t0gs0vo5qq/bs4DGwjCWgXEpxX3Uh6d/fn6++//dqflYrZpvr59AF3Xh8+KmIwrf40QY+XFM CpjhoaPLUobheudz4FQ8Bf0i/0pdq13n2tHn0qBte0Ln0AYeyfR9rlrEdl82g7T1NicPHUON DeXbuoFjO6+4dvbdHqGblOsRK6d+w1UYuJW+QpYyxqA+VcG+JNLr9jT+MD5jzymuoUzVurmq 9DsaXrh920TfcuCOay5aEarn0F7cSrVukHCqWzvlLw7hVtCsTX3p1XrqYu3d3/5Kj5e1Wshp +QDrnA/xnScdBvSZ/hRQHb2mI8MnVzvckKq06+9Yk6zLrnW7neryG6bLBxvSqOObmAMPRw68 A5hFawfdu93LfAEZOPqFAylYErFTZrB1epCSN/1Vw6Brj+ol6pcF9E2DAX0WhB0AM63R8oOK f58SNUXzKAEeblekbc3LGSfCIDrbvTQa5ufF/gnjO6QDw9Syz/YeOjea+Wk3baRaqfIsX17f /rgTX55fP314+vqP+5fX56evd+08Xv4R6VUjbi+LJVPd0l/R90dVs8GuBEfQow1wiNQ2kk6R +TFug4AmOqAbFrXtHhnYR+/+piG5InO0OIcb3+ew3rk+HPDLOmcS9qZ5J5PxX5949rT91IAK +fnOX0mUBV4+/9f/p3zbCMwYckv0OphuJ8aXeVaCdy9fP/8YZKt/1HmOU0XHlvM6Aw/hVnR6 taj9NBhkEqmN/de315fP43HE3W8vr0ZacISUYN89viPtXh5OPu0igO0drKY1rzFSJWDLcE37 nAZpbAOSYQcbz4D2TBkec6cXK5AuhqI9KKmOzmNqfG+3GyImZp3a/W5Id9Uiv+/0Jf2gjBTq VDVnGZAxJGRUtfQN3SnJjZqHEazN7fhskfhvSblZ+b7397EZPz+/uidZ4zS4ciSmenpD1b68 fP5+9wa3FP/z/Pnl293X538vCqznong0Ey3dDDgyv078+Pr07Q+wqOy+UDmKXjS2/rIBtCLY sT7bxjwGBaZKtva1gI1qjYOryC03daDRmdXnC7UfHNvO3dQPo7kbS8tyC6BxraahbjKXjzm4 7AaPYSloxuHU7gsJbYd1+Ac8PYwUSi7VtmMY55IzWV2SxmgRqDXHpfNE3Pf16RG8AicFTgAe U/dqSxfPyhD0Q9HVDGBtS+romBS99krBFB++bImDePIE2qwceyFFldEpmR50w8nccOl19+Jc vluxQE0rOimRaYvLbNS3cvQSZsTLrtbHSnv7ctYh9UEXOipcKpBZ7JuCeVWtEj3FuW2hZIJU 1VTX/lzGSdOcSbsXIs/cNwC6viu1Qxd2yeyMZ69zELYRcVKVrMtXoEURq6Fm06Mrzru/Gc2G 6KUeNRr+rn58/e3T73++PoFyDvHJ+Rci4LzL6nxJxJnxe6e7huo5+LMv97bhGF36NoOHO0fk zwMIo508zZ1NG5EGmXXyYy7mZh0E2jpdybG7ZUrNJR3t5ANzyeJs1HUaD5z16fLh9dPH32mP GSLFdcYm5sxWU3gWBtXPheJO/gPln//8xV0/5qBZzaet30NwRFO12F63xclI5LSeRm3ouY0n /WjzIj/r0PdNbBSXPBFfyZfbjDvrT2xWltVSzPwSSwZujgcOvVcC85ap/nOck65Ml5HiKI4+ kigUGGVqnpD9Q2J7BtB1p7V0WXCoA5fRX+LCF0naWaPgxjrRhvTwhA2ednAixvmOm+eMu8uN 4SD5pIydaFvTThQOM/7jDGUGIkO0CumRiXTgHjrSIIcqOpHqAVvxoL1Zk3ouJBUoZAGhtGNx stgC1STHDCzXgsGxY2Z7vEaRz3HlMrr+TnFUu5QzJwyg3iywhB+WBUgNC+zqJgtxw/12tRzE W99KwGOT1zIdrk0j5tHHmROhKtmtxFqUST7ObPGn798+P/24q5++Pn8mk5sOqJ1wgk6wWlBy LCkOAdyxYnB6VzYzaZI9gkvz9FFtyPx1nPlbEaxiLmgGr8Lu1T/7AO2K3ADZPgy9iA2ipqxc iav1ard/HwkuyLs46/NWlaZIVvhiaA5zr2pykDn6+3i138WrNfvdw1OFPN6v1mxKuSKP641t 1Xwmqzwrkq4HCUj9WZ67zFZdt8I1mUxAg7qvWvCgsGc/TP1XgImxqL9cOm+VroJ1yX9eI2R9 ULLWo5r62+qsRnjUJLatQzvoYwzP9ZtiGzrz8BBETfO6cO9Oq82uXJHTZitceaj6BmzUxAEb Ynr5sY29bfyTIElwEmw3sYJsg3erbsXWvRUqFILPK8nuq34dXC+pd2QDaCPB+YO38hpPdshU CA0kV+ug9fJkIVDWNmAdTg3j3e4vBAn3Fy5MW1egZYzvAGa2OeePfdkGm81+118fuiOSnsn8 gFYB4tNwTnNi0BQz789ZqW6SY0TZ7ZD5AL26x6V0Vzq15T7ovXEsyMiHSalPSmJDWc+xyVGA AKIErTauOzD2f0z6Q7hZqd1wesWBYbdTt2Ww3jqVB7uHvpbhls5Lalul/p8pYkWJbI+tGw2g H5CJpD1lZaL+G20D9SHeyqd8JU/ZQQw6oXQPR9gdYdXwTus17Q3w3q3cblQVh2SraAuYznbQ 0WskRG+UuX+wdBAsEFQjUrc1J88MYC9Oh56ojdt05stbNHr4NRCTCMwMBrcno68o6LYZns8K OKJQY4PdtUKI9pK4YB4fXNCthktAFs9LtHaABfkyaUtxycjMMYCTp3sUQzRRfSRy3ilTYovq dUXE4PdZYz9/njGoaGdQjy+AeZT5+vctqbmik0Su6mR6oOkh4+QTxPezNisfY/tsbACGbnLI XObUhcFmF7sEiCq+fTxsE8Ha4zJZ+WHw0LpMk9QCnaaNhFoPkGMXC98FGzIl1rlHh7Dqjc7K 3iVkXw9OgFO1/rTOzkTJMK44ooLSndzgCfqYkiGTwyRNxd+Yhmo8W71H19SRZHvJCCDFBbm7 QgJVUrb6lLF/OGfNvaTfBG8Jy1j7CjYai69PX57v/vnnb789v97F9HArPfRRESsRzloj04Px oPBoQ3M24yGkPpJEsWLbVAaknMJDsjxvkBHfgYiq+lGlIhxCtcoxOeSZG6VJLn2ttoU52FXu D48tLrR8lHx2QLDZAcFnl1ZNkh1LtTqrEV2ibA5Ve5rx6UQMGPWPIdjzOhVCZdPmCROIfAV6 pgY1m6RK6tVmrvAnK7lCNTkKC7vwPDue8AcVSsgYjnAlSgJ2TPD5rdmDuX3mj6fXj8boGT1c gmbRBxoop7rw6W/VLGkFq4pCS/TKS/Fq7xah01VINq8lfneiOwb+HT2qrQC+tbFR3R3tjM6X ROL2ry8NLmtVgzjWJPiLpBcTL7JQbDCAgZASTggFA2ll1h8uTLbEMzE3oU022QWnDoCTtgbd lDXMp5shXXzoK0IJ7B0DqUleyQel2lahBEbyUbbZwznhuCMHIh1fKx1xsbd0UHh9CM5A7tcb eKECDelWjmgf0Sw9QQsJKZIG7mmvVhAYfWrUrhZ6t8N1DsTnJQPcFwOnX9PVYoKc2hlgEUVJ jomM9PhM9sFqRcP0gbdB2IX094v2JwETcF+r3XUqaegevJYVtVrADnAo8oh7f1KpyTjDneL+ 0TZprYAALbEDwHyThmkNXKoqrmz3iYC1ahuEa7lVm0O1zuJGth/363kNx4nURJaVCYeppVko efWihdRpPUBkdJZtVfBLQt0JpGIDjXFSM7qqwqTHjs2h7EVWOYCpH9LoQUS61mB5Gw449Xkx Do5dBWtERmfSGOhgHCaXQ6H6ervekGma2jRS0LHK4zSTJwTGIiQT7+Dxc8a0hKdvUV05D2aV BI4fqgK3DOiJ+CTlAdO25I5kkI0c7VBFh3vBoalELE9JQkQQCcpPO1J9O48sP2D7y0XG62rq SmXiyzPcI8tfAzem9kGRcZFiKbmsVAR3giQcGdczG4H/FTX4s+ZBH54vhUPXYohRU3+0QJmt obHrRUOspxAOtVmmTLoyXmLQiTxi1MDt0+i+V+KU6i73v674lPMkqXuRwl0BfJgaWDKZTK9C uPRgTq30ReJwq+h6vZ4SHQ6LlJwigi3XU8YA9PTEDVDHni+RHeUpzCClgW/VS3aTx5tQJsDk fYgJZXY0cc2lMHBqDx4Vi7R+Jy6ibrPdiPvlYPmxPqnZppZ9flgFm4cVV3HkyDPYXXbxlcx3 dkh9YBmrLW/bJtFPg62Dok3EcjDwI1fm4WodnnK9y52Oc37eScaQ7EZPd7TD04d/ff70+x9v d//rTi0Xo4dmR6MHjvON2xrjxG0uLjD5Ol2t/LXf2sfSmiik2vkfU1v5S+PtJdisHi4YNScL nQsG9lEkgG1c+esCY5fj0V8HvlhjeLQAhFFRyGC7T4+2XslQYLWU3af0Q8xpCMYqMMzk206c JzFtoa5m3tjI0wv0D5cdpEMuIvWOPjPIzegMU1/LVoQi3K+9/prbliNnmrpatAof1yHyM0So HUu5/ljRV22DFVuTmtqzTB0iv8oz4zofnTnXBaZV78hyl5XTZeOvdnnNcYd4663Y1EQTdVFZ ctTgLt0ezT8ZiWMaaldvrp6nVPV7RH4PP6xsg5bh1+8vn9VWfTgEHozxOCPdqAGqH7JCFmZt GBbzc1HKX8MVzzfVVf7qb6YpTYmxSjhIU3gvQVNmSDVwWrNRyArRPN4Oq3VRjGrdrLd4+2On UVwdrUMT+NXrK8te29viCFX93pZlovzc+v7aLoWjIDlGk9XZlkT1z76SkjgsxXgPBs1zkVkb bIlSUWHbDHmwB6i2V8kB6JM8RqloMEui/SbEeFyIpDzCVsRJ53SNkxpDMnlw5jzAG3EtQEUK gbDZ03acqjQFPUbMvkP6KCMy+PlBSpvS1BGoWGJQq4kA5X7/EghGodXXSrdyTM0i+NQw1b3k l04XSHSws4uVNO6jajPSe682OdjLoM5cbZb7lKR0SZpDJRNnJ425rGxJHRLxfYLGSO53d83Z ORbRuRRCtrRGJDhXLCNaJ7pbwPzgwCa02xwQY6heOOAEtzFOTj10KbVzRptxm+NRrYvrUmrr 6MYp6vN65fVn0ZAsqjoPenS6aqOQIGYunRtaRPtdTyxd6gahNuw06FafAP+nJBv2I9raNqtu IGlfupo60H5Mz952Yz8Bn2uBjBfVXwtR+t2a+ai6usJ7V7XG4Y8g5NSyK9zpyAAQsReGe5JN m2VdzWH6NJvMVOIcht7KxXwGCyh29TFwaNGDtgnSatxRXtFpKxIrz5YyNaZNtZPO0z0qsY/p VBon8eXaDz0HQ+4gZ0xtIeCasiblkptNsCG3yppou5SULRZNLmhtqXnSwXLx6AY0sddM7DUX m4BqKRYEyQiQRKcqOGIsK+PsWHEY/V6Dxu/4sB0fmMBJKb1gt+JA0kxpEdKxpKHRRGp/qCqy jp1iSbo6IKSPqzXX29G6AxvTediteJSkcF81Rw+9mNdtUuWktvNuu96uE0kbpXNmybLwN6Tn 11F3IqtDk9VtFlOJoUgC34H2WwbakHCXTIQ+HQkDyM0O+tCwkqRXXDrfJwk/FqkZtVqePsW/ aKV4ywKKbhlBm0qYCndhog85wkau+kHhJjGAyxiZ6JBwsWZOf/qvHg2gXWuMTvmc6Hp5UlmD o5h7t6iGHnyqLbAyOxaC/X7DX+honil8hIQ5ertIWHBrK6hgYPFqUqYrAmZp76OsO6FaIbSy x3KFYPc0I+ts+qcm4lbMaZMx9UM3tyZxE1PFXmztpKNeXKYiQBdQa5sq/PvEsuKth3QnYGQ5 C5ekkqxod0Hk24+XbbRvRQO+Xg5ZC7Zvf13DA047IHgU+0EAqhWFYPVXcsNx+Bj2LDw6I2uX biITDwswtX07JSU938/dSFt4webCpywVdKt0iGJ8bz0GBkWMrQvXVcyCJwZu1agYnMgT5iKU 9EemTP3qLmuIDDeibnvHzrav6mx9RL30SKx9MKVYIXUVXRHJoTrwJdJuGdF7acS2QiIvrogs qvbsUm47qL1PpMYw3vN0tRLvElL+Ota9LUpJ968iBzAS8OFMhHtgxgthvOF2go2bZpdpq7pS 0/CjywhnK2TAXnRatXCZlHWcuZ8FL8vUl9C9/0BE75XAt/O9fdHt4cxU7XptK9kkaNOC0UIm jDkgdSpxglW1L1JS3qSRtwQ35m2aUnvPMKLYH/2VsWbrLcVX7H5Fd0x2Et3mJynoc+V4uU4K uoDMJNvSRXbfVPocoSXTaBGd6jGe+kGSPUSFr1p3OeHo8VjS9Tmp94FaKZxGjRM1LZRaccxJ y+LMgBi8LUaDdWZ42J6+Pj9///D0+fkuqs+TQaLhWfUcdLA7zkT531iIk/rEJe+FbJgxDIwU zJDSUc6qCbqFSHIh0sIwAypZzEm1dJrRgwxoDdDWjQq3G48kFPFMtzXF2CykeoeTS1Jnn/6v orv758vT60eu6iCxRIaBrTZjc/LY5htnjZvY5coQumOJJl7+sAy5FLjZTdD3qz5+yrY+eMKj PfDd+/VuvXJ77YzfitM/ZH1+2JKPvc+a+2tVMauEzYD+m4iF2lj2MRWu9Dcf3clegfprspKN oDnkQMwmJy3vxRC6dRYTN+xy8pkEk+3gkAGcH6ltA374MIWF/ZIaLi0sanlySXJmUYvqbAhY YO+AOJUC2YjH3CG+6gVot7RIDcFAb+Oa5PlCKFfhe2Jaf0dlyxnXxzjrNTNKBh6WC9pzDL3d 7XdLOPwTbNhcQ28XLOFwOr0PV3s2Px0AqoqeDTo0/LPx6OEiF2q72/KhwoUyhoH5tLBvZSB8 f5eYMishg5nqhhhGFrkd8L4/tNFFzu7mYd6wZz7x5fPL758+3H37/PSmfn/5jie9wVdQd9TK rGQZnbkmjpslsq1ukXEBWseqn7f0aB0H0sPKlWVRIDp2EekM3Zk1l1Hu7GuFgNF/KwXgl7NX wgtHaTdLbQVnAS2a3P9CK6HUOsnL5Jpgl6RhZ8vGAo9cLprXcO0f1eclytVGwHxWP4SrLSNA GFoA7THjRrZsokP4Xh4WPsFxhjiRsay3P2XprnbmRHqLUsOSEWsGmvaDmWpU7wJd9KWYcjGm gJfJi3kynUKquZceN+qKjovQtrI+4q6FA8rwcvLEOt0fsQtS0cQvT96zwYIW24efAtwrSS0c 3qExR3lDmGC/74/N2bm7HuvFPD0lxPAe1bk7nh6qMp81UGxtTfGK+B6WR2SpdQpUiKZ9+Enk hQqVdfIondNos78+JE1RNfQSU1EHJRswhc2ray64ujJPPUBhnilAWV1dtIqbKmNSEk0Jfrp0 2wbglzuCf5c/vS18VW0bc/Z5Q9Rvnr8+f3/6Dux3V8CXp7WSx5nBBOYkePl7MXEn7azhmkWh 3Fkf5nr3cGsKcKZ3KJqp0hsiJrDONd1IgPzJM6PvK5YsK+bGl5CuNq8dSLZNFrW9OGR9dEqi e+YoCIIxV/YjpdafKJky09cCy0kYBQAJRjVuBBp1DrI6uhXM5KwCqZaSGbaH5YYePL0PasVK 9FDfeys8pJvmsHfSlru4kHy9GzH/dkcwYZZb3fCL3cXQJyX/9Emtq+lGMNFWxRj2Vril1RlC HMRj2wh4yn2rM42hFtKYNj63ExmD8akUSdOob0ny+HYyc7iFEVdXOdxG3ie305nD8ekc1cxb Zj9PZw7HpxOJsqzKn6czh1tIp0rTJPkL6UzhFvpE9BcSGQItlaRIWp1GvtDv7BA/K+0Yktkx kwC3UzJ3Wcs9Hfg8K9UmTsgkR89s7GBdm5SS2f7JmjtPArQvopgrUzvdAcu2+PTh9eX58/OH t9eXr6Dqp7213qlwg3soR79yTgbcurLHe4biBSATC4SXhtklDM7TU6mFyXkd/uvlNBvgz5// /ekrOPlwVnDyIdq4E7ekaXtMtwle2jyXm9VPAqy5awsNc1KdzlDE+hYTni8VAund3vpWRwZ0 b+wn2F/p251lNhZMe44k29gjuSCrajpQ2Z7OzOngyC6nbHYEjABtWLiI2DBHMROL/KpRdr+j miQzqySYQubOdeEcwMixi/GXNzvzd+2WWsLe61teHm0B1fVEy8vBrVqgwcunu70xpJzJBYe5 aktq58wcpsfikpVRBpYG3DxGsohu0peI6z7wfKR3L4wmqogOXKIDZ7arCxVorgbu/v3p7Y+/ XJk63UHjYx6cf7VtaGrnMqtPmaOIajG94DYTE5vHHrOPmui6k0z3nGglRwp29lOBzPNGflwO nNnNLBz5WeEWJoauTeujwDm8d0K/75wQLXcGoa3awN/1tO7pL3Mf/U+70jw3H89dLTfZe0ej D4irEnnPByaGIoSjAaeTAqNHq6VqXlKv1VzshQFzuKPwfcAsqwYfaoDn0IN1m+NOKES8CwKu f4lYnPtzm3HHCcB5AXeArxn2osEw3SKzvcEsfdLALlQGsFQ11WZupRreSnXPzegjczvecp7Y j6jFXEKqXjIT/NddQm45VD3X86i+sCbu1x5VBRhxj7kSUvh6w+ObgDnVA5xqmQ34lqpgjfia +zLAuTpSONVtNfgmCLmhdb/ZsOWHpd7nCrQkAxxiP2RjHNpeRsycHtWRYKaP6GG12gcXpmdE TSV7rUXIzh6RDDY5VzJDMCUzBNMahmCazxBMPcKdYc41iCa4a7+B4AeBIReTWyoANwsBsWU/ Ze1T1egJXyjv7kZxdwuzBHBdx3SxgVhMMfCo0v9IcANC43sW3+VUAXsi+DZWRLhEcOKtccbN EZ2/WrO9QhHII+tIDBoKC10cWH9zWKJzpvn1RStTNI0vhWday1zYsnjAfYh+38pUIi/ZDoYC 2K9K5M7jBqnCfa4ngI4Ldxe3pPticL4bDhzbsY9tseUWnVMsOB1pi+I0gHT/5WYvbRkbrFpz 004mBdxyMDu2vFjv19w+sQAlY+6+Xe/eQk7tYVkDwTBMM9+62NcUN8VoZsMtv5rZcroVQOz9 pRLsfe4S0TBLqbGy3FC0pZJxBFxVetv+Cs/aF+7v7DCgPNsK5rBW7VS9LSe7AbGjT7Asgu/S mtwzI3YgbsbiRwKQIXc7PhDLSQK5lGSwWjGdURNcfQ/EYl6aXMxL1TDTVUdmOVHNLqW68VY+ n+rG8/+zSCzmpkk2M7gI5ua2JlciGdN1FB6sucHZtMi5ugVz0qOC91yu4D2Vy7X1kI8rhLPp 8DpLBl+oiXaz5WZ/cxXL49xh2+K1PChKLaSzYcYi4Fx31Tgz0Wh8Id8tX0dbToxbOmwbFOsW 6y5klqBlzVCZrXfcwNevi9jTgZHhO/nETgfCTgCw/t4L9V+4lGLOYKx756U73QUdA1n4bPcE YsPJREBsuZ3qQPC1PJJ8BchiveEWOtkKVs4CnFuXFL7xmf4Iqp773ZbVVcp6yR6GC+lvuM2I IjYrbl4AYucxpdUEfYg6EGo/y4z1VgmYa07wbFOxD3cckV8CfyWyiNuMWiTfAHYAtvnmANyH j2Tg0aeOmHZeaDv0T4qng9wuIHdkZkglhnL74VF/k2PMbm2B4U40zrFQYjsTQxPc8ZuSgvYB tyO75p7PCWXXYrXi9jbXwvM3qz65MPP0tXDfcQ24z+MbbxFnxsSkxuPg4WYJ5zqqxplqXdKu gmshbs0FnBN1Nc7Madw7lwlfSIfbhelrqoVyctsSwLl1TOPMSAOcW6sUHnI7CIPzg2rg2NGk L9T4crEXbdxbohHn5AzAuX3ykpK5xvn63m/5+thzey2NL5Rzx/eLPacBrvGF8nObScC5raTG F8q5X8h3v1B+bkN6XVAc1Tjfr/ecbHst9ituMwY4/137HSdULF3Fapz53vf6+mm/renzdyDV Zj/cLOxnd5xUqglOnNTbWU5uLCIv2LFPAHJ/63Ez1fJ7B3gs4OIluKDlhkjJGQqZCK4+DMGU yRBMc7S12KpNiPbyMpurQvdpKIoRQ0Htnr0XmmlMGLn02Ij6xLC84fvpcepo4SCLXa2Pk62G qn70B31F+Qh6iUl5bK3HNoptxHX+fXbizk/ejTrNt+cP4B4XMnYuFyG8WINPHpyGiKKz9vdD 4cZ+5DZBfZqiEvaiRl6eJihrCCjt54waOcOreFIbSX6PfUUA1lY15IvR7HiAZiBwdAIfRhTL 1C8KVo0UtJBRdT4KghUiEnlOYtdNFWf3ySP5JGq5QGO179kTiMYezStkBKrWPlYluHWa8Rlz Kj4Bp6nk65NclBRJ0EsLg1UEeK8+hXat4pA1tL+lDUnqVGHLFua3U9ZjVR3VODuJAhn80lS7 DQOCqdIwXfL+kfSzcwSOaSIMXkWOPNgBdsmSq/aCRbJ+bIzlO4RmkYhJRllLgHfi0JBmbq9Z eaK1f5+UMlOjmuaRR9ooBQGTmAJldSFNBV/sDuIR7W0zPIhQP2qrVibcbikAm3NxyJNaxL5D HZVc5IDXUwJOI2iDa2PjRXWWpOIK1ToNrY1CPKa5kOSbmsR0fhI2g9vFKm0JDJNxQztxcc7b jOlJZZtRoMmOGKoa3LFh0IsSHOLklT0uLNCphTopVR2UpKx10or8sSSza63mKOSrwQL79EAS HnDGrr1NI+v4iEhsT502E2UNIdSUop2MRWS60sYlO9pmKigdPU0VRYLUgZp6nep1nsBoEE3c 2iwxrWXtQwY0WEnMNhGFA6nOqpbMhHyLyrfO6frUFKSXHMEhnpD2BD9BbqngFc276hGna6NO lDajo13NZDKh0wJ4BzsWFGvOsh1sCk6MjTq5nUG66GvbCYKG/fR90pByXIWziFyzrKjovNhl qsNjCBLDdTAiToneP8ZKxqAjXqo5FOxh20qaFm6s+w+/iICRa18vsxovIx9pweksD7y0ZqzM OIPSGlVDCGNREyV2eHl5u6tfX95ePrx8duUxiHh/sJIGYJwxpyL/JDEaDGkhg09u9qtAI818 FfLf7Sbw9e35810mTwvJ6EcUinYS4+NNFpfsfKyPr05Rht344Gp2tNy1PSGi2a6tFzWw4AnZ nyLcUjgYspSo45Wlmq3hbQ8Y/NN2WOXYqsWn7x+eP39++vr88ud3Xd+DOQzcooOBKTBeLzNJ yrpk21R/fHt0gP56UrNk7qQD1CHXU79s9cBw6NR+yqnNH6kZHxSHj0c1FSgAP/UyNp/aSsno as0CqyHgo87HXZPU8tWp0KtukINIF+DpUdU8Tl6+v4Gx4bfXl8+fOfP8Oup2161WujFRuh30 Fx6ND0fQWfrhEOiB0Yw6r4rn9FUVHxi8aO859KK+kMGHh30UJvrwgCfsR2m0qSrd2n1L+oNm 2xa6rVT7n5hhne/WaCpzBi26iC9TX9ZRsbMPlxFbNRntI8mtr5w80XOJ8U1SdWffW51qt4Yy WXvetuOJYOu7RKrGCRgscQgl1QRr33OJim2baioyreOJkZIO0aXvr25//5ktwRns6TmozEOP +YgJVjVTkQlWUxEpUhOK7RacwzpJNUmZSDXNqr9P0qWvbGFPV8GAkTaJJFxU0kkGQHifSB5e OuX59cs8zRiXDXfR56fv3/mVWESkprX154QM2mtMQrXFdPhSKmHof9/pamwrtXFJ7j4+f1Mr 3vc7MKIUyezun3++3R3ye1hZehnffXn6MZpaevr8/eXun893X5+fPz5//P/ffX9+Rimdnj9/ 09r7X15en+8+ff3tBZd+CEca2oD0JatNOYYpB0CvBXXBR4pFK1Jx4DNLlTyMREWbzGSMrm5s Tv0tWp6Scdys9sucfSpvc+/ORS1P1UKqIhfnWPBcVSZk12iz92BWiKeGc51eVVG0UEOqj/bn w9bfkIo4C9Rlsy9Pv3/6+vvgxoD01iKOQlqRemOMGlOhWU2MTBjswo3MGdfvwOWvIUOWShBX E4SHqRNy7DkEP8cRxZiuWLTnQMuOBNNpsr4epxBHER+TlvHrNYWIzwJcjOeJmydbFj2/xNpo Gc5OEzcLBP+5XSAtAVoF0k1dD7ZW7o6f/3y+y59+PL+SpjaSb9mRtUXjrfrPFt2szjnJWjLw uds4HUfPf0UQbDo4Kc0nMz6FnjoLoWadj89zqXT4OqvUKMkfiYB7jQKcOCD9OdemTFGFaeJm leoQN6tUh/hJlRqJ8k5yOzsdv0LqKxPMLc6mzIJWrIbhLBjsgzLUbIeHIcEigb6EYDgyqAz4 4EyvCvZpjwXMqV5dPcenj78/v/0j/vPp8y+v4OMDWvfu9fn//vPT67PZ2Zgg07OxN702PX99 +ufn54/D+yWckdrtZPUpaUS+3FL+0mg0KVDZycRwx6jGHW8LE9M24OWiyKRM4OwolUwYY+0A ylzFWUS2k6dMbe8T0lIj2lfpAuGUf2LO8UIWZtZEFMiquy0ZnwPobGYHwhtyQK0yxVFZ6Cpf HGVjSDPQnLBMSGfAQZfRHYWVrM5SIkUiPZ9pZwkcNl1p/WA4bqAMlMjUFuuwRDb3gWfrGloc vXCyqOiEHjBYjN6XnxJHYDEsKAgbp5CJu8se067V1qPjqUGGKEKWToo6ObJM2saZqqOKJS8Z Oh6zmKy27TTbBB8+UR1l8btGsm8zvoyh59vK85jaBHyVHLU7z4XSX3n8fGZxmKdrUYLV4Vs8 z+WS/6p78Bfay4ivkyJq+/PSV2sXmjxTyd3CyDGctwGDk+6RmBUmXC/E786LTViKS7FQAXXu B6uApao224Ybvss+ROLMN+yDmkvgBI8lZR3VYUeF+4FD9tEIoaoljukxyDSHJE0jwJR1ji5g 7SCPxaHiZ6eFXq0dY2uPSxzbqbnJ2RINE8l1oaaNESSeKsqsTPi2g2jRQrwOjsiV7MsXJJOn gyO+jBUiz56zbxsasOW79bmOd2G62gV8NLOwW9sdfLzKLiRJkW1JZgryybQu4nPrdraLpHOm WvwdSThPjlWL72U1TE8rxhk6etxF24BycBtIWjuLyVUogHq6xhf2+gNAeSJWiy2cwOLPyKT6 53KkE9cIg5V+3OdzUnAlHZVRcskOjWjpapBVV9GoWiGwNgWFK/0klaCgj2DSrGvPZHs52KhP ybT8qMLRg8P3uho60qhwwqn+9TdeR49+ZBbBH8GGTkIjs97aKn26CsCyjapK8MvqfEp0EpVE qg+6BVo6WOGCkTkQiDpQiSHb+EQc88RJojvD+UZhd/n6jx/fP314+mx2fXyfr0/WDmvcYkzM lENZ1SaXKMksV1Xjps44b4AQDqeSwTgkA24c+8vBvrNrxelS4ZATZKTMw6PraWwUG4MVkaPA Zij6AtPVwLyIAw+7R4JonY5h7UPXYAvVir5Py7rkm438y+w4Bobdc9ix1GjIE3mL50mo6F5r evkMOx4bgR9q47hRWuGmBWhyCjl3r+fXT9/+eH5VNTFfsODeBTbBYaSReWk4F6fnN/2xcbHx cJig6GDYjTTTZByDxdgdmSaKi5sCYAE92C6Zwy6Nquj6PJ2kAQUn336IoyEzfJTAHh9AYGff J4p4swm2TonViu37O58Fta35Hw4RkuXpWN2TySY5+iu+H1Mf8Lpoeh7rL+gmHQjje9ScB+Kx xPYhPL0ewKUGWCOky5t7pp4qSaLPSeZjH6ZoAusoBYkJyyFRJn7aVwe63qR96ZYocaH6VDny lQqYuF9zPkg3YFOq1ZuCBVgfZo/pU5gXCHIWkcdhIKGI6JGh6Bjuz5fIKQNybWgwpNwwfD53 85H2La0o8yct/IiOrfKDJUVULDC62XiqXIyU3GLGZuIDmNZaiJwsJTt0EZ5Ebc0HSdUw6OVS vqmzVFiU7hu3yLGT3AjjL5K6jyyRJ6r4Yqd6ocdcMzf2qCW+pc2HFZBGpD+VNbZMqmc1PCUM 8x+uJQtka0fNNWRibU9czwDY6RRHd1ox+Tnj+lxGsKtbxnVBfixwTHkslj03W551hhoxPsMI xU6o2vUrKzjxE0YUG2dLzMoA8up9Jiio5oS+kBTVKpwsyFXISEX00PXoznRH0BIxpgwddHD+ u3ASOoThZrhjf00OyHtW+1jbb1v1T9XjaxoEMFuYMGDTejvPO1E4BdHJftU2JAG+2fdhZ28z 2h/fnn+J7oo/P799+vb5+T/Pr/+In61fd/Lfn94+/OGqd5kki7PaJGSBzm8ToFcX/yep02KJ z2/Pr1+f3p7vCriGcDZBphBx3Yu8LZBmqWHKSwb+6WaWK91CJkgkBU/o8pq1dI+n9uJabYrZ gaAN0vl6QD9AzwEDoA6BkcxbhytLpCsKq6PU1wb8KiccKONwF+5cmJyPq6j9QXvUdaFRCW26 5JXa4x/yQQqBh02zuRAson/I+B8Q8ueaWxCZ7KYAEk2h/slwJtqTQlzkOOhgqzWGGsBEfKIp aKhXXwDn7lIi9bqZr2k0NWNWp57PQG0Z2rTgsgEjyY2Q9skNJlv7gRyiEvhrgYuvUSF5Fp4k lFHCUTpF8N/EkUT1yvq2TlyCJcLniBT+tY/zrGoHN+qYGO48Ow4FJ1VozQbKmK+UGITD4YbL sZCkYZDOmu63WaokvxiDxyqP08x+aKCTrJ3OZPpFJLm8scFjnVehbRg0bvu4vVTFf5Sw4XPb ObPcOjm8a5AT0Oiw80iTXNR0aMYMDiku2bno29O5jJOGtEt8pb+5zq/QQ35OiInxgaH35QN8 yoLdPowuSO9n4O4DN1c6QMHDlOMZZCDe0y6vR7JtMULXx1mtXCTzszPMzlD/W7UKkJCjQpQ7 cwwEOhLTpcC6GrruH5z5qq3kKTsIN93BMSDp3e091xMPjZowWpq/prqkrPjpCak7zLgotrZx gCJRKWdo5RgQrMRbPH95ef0h3z59+Je7eE9RzqW+lmkSeS6sLVGhhlLlrFByQpwcfr7ojDnq 4W9LkxPzTitKlX0QdgzboCOhGWa7AWVRXwAdcvzMRqtgaweUc6gZ68kTKM0cGjhLL+Gy4XSF 4+ryqO+1dM2oEG6d62hCtJ5vP3I2aKlExs1eUFgG2/WGoqofbpGlohndUJQYiDRYs1p5a8+2 CqTxvAg2AS2ZBn0ODFwQmdOcwL1tc2VCVx5F4VGzT1NV5d+7BRhQfRxOWlFDJLs62K+dr1Xg xiluvdl0nfNyYeJ8jwOdmlDg1k063Kzc6CEyfDZ/3IbWzoBynwzUNqARrkUYeB0Yq2nPtFtr y4K0hLHag/trubJNEZj0rwVBmuR4zvFFlemEsR+unC9vg82e1pHzFt68gojEdrPaUTSPNntk DMYkIbrdDrnts2AnQ+izm/8QsGrR6mfiJ2Xqewd7ldb4fRv72z39uEwGXpoH3p6WbiB8p9gy 8neqjx3ydjrMnqcLY2P886ev//qb93e9UWqOB82r/e6fXz/Cts19KnX3t/nx2d/JhHOAazba fnURrpy5osi7xr6L1eBZJrSRJWywHu2jA9NKmarj88LYgWmANiuAxlLaVAnt66fff3cnzeFx DJ2wxzczbVY4hRy5Ss3QSNEYsXEm7xcSLdp4gTklait2QCpGiJ9ffvI8+NDjUxZRm12y9nEh IjO1TR8yPG7SNa+r89O3N9AK/H73Zup07kDl89tvn2Dffffh5etvn36/+xtU/dvT6+/Pb7T3 TFXciFJmSbn4TaJAFjERWYvSPv5CXJm08EBvKSIYYKCdaaotfLxotpfZIcuhBqfchOc9qsVa ZDlYk5gu46aTpUz9t1TyXhkzR0oJGBt1HrclyLWrDmOOLmEDYZ8Pa4rstE1wuPWWamlOSDru JsAUQUnwtbRNGmi4g6NFgmEl1KaNtDv7HzZgBB0EnSIl9j7y4PDe7tf/en37sPovO4CEW+9T hGMN4HIsUiEAlZcimTxgK+Du01fVP397Qur1EFBtw1JayxOu97oubB6AMmh/zpI+Kc45puPm gs5W4AEmlMkR6MbAYQjzaYdrHQhxOGzeJ/Yz3plJqvd7Du/4lCKk5jPCzjZjJGLpBfY6ivE+ UiP53Dy63w28bdII4/3V9hpkcVv7+nTET49FuNkyH69W6O2e+xxFhHuu2GZNt83kjUxzH9pm LydYbqKAK1Qmc8/nYhjCX4ziM5l3Ct+4cB2l2CAZIlZclWgmWGQWiZCr3rXXhlztapxvw8ND 4N+7UaSS8/cr4RJpgU2LT/Wuuq/H4xvb5JMd3meqMCnUhojpCM1F4Vx7X0LkpGD6gE3BgLEa A+E4vJU4c3t4Q73tF+p5vzBWVkw/0jjzrYCvmfQ1vjCG9/zo2e49bozskQeNue7XC22y9dg2 hDG1ZirfjGfmi1UX9T1uIBRRvduTqmCcsUDTPH39+PMZOJYB0uLFuNqgF7b+HS7eUi/bR0yC hpkSxKooPymi53MTmMI3HtMKgG/4XrENN30qisy2fIRpW8BBzJ59bWAF2fnh5qdh1n8hTIjD cKmwDeavV9yYIhtWG+cmR9nee7tWcJ11HbZcOwAeMKMT8A2zUhey2PrcJxwe1iE3GJp6E3HD EHoUM9rM9p35Mr19ZPA6sR+yW30cVhymispzxC7C7x/Lh6J28cF1yDg2X77+ojYyt/u8kMXe 3zJ5DO67GCI7grWbivmSrOhiJoa+uHBhfJh6EpdELWZwaRu584AimBWo3gdsPZ+YJmzWHhe2 zlfcIgkw0xHgbqpRFcY1CnBSFEw/nA3N0UK14YZLSp7LbcZUAj4cnwThbr0PuO5/YQrZFCIW 6PR26jz0lmwSJFr1FysyRNVpv/ICrqZky3VQfNQ5LzWeakemSMZNiIvndeSvuQiKwMc5U8ZF yOZArvimEnVMaymwvzCzhiwvkh0LaiJgUqk6dE084e022HNydbvbciIv2VhOU9gu4GYwfRvM NCDfIE0be3Bc5vRAowT5q2WiUT5//Q5etW/NMZa9ITgHYgaIc7MYg/+O0YSMg9H9qcVc0AUL vL+N6RtwobbqahvfjS6e4WKgTPJRgcFOVQU5gk9XhF2ypj3rF246Hi4hPHKcDzbyNgGPkfIY 22/eRQF3V/kqtGpYdBm5tzyA8p0K2Ahb92YYcl6Ic3UuvgCkw2fEQoJJ4XkdxfQUNENXpoRm /sX6t6AVnaCvBeQBIVlxhEf4PQE7F5AYMSaTFLa15I/7AMdTc4AXmmIVZ6uGiyglJSuKuq9R 6QFpMaJGWtXQ3zAPzFAncR0UXdBn9gniAPRZ8yB/XY9oeajToVLnMlXXHAM12CVEQB4EKwwN jnftMkwQqgODFjgkOBvGyQV6ejWtPYWb/MzWB5yVITzFoFTUUD/gdCcHlQXuR3oqw0EHF5Mc ZoQfTL0nQYv2vj9JB4pwP9SKMwdR9C56gl7WF0f7wddMoHEB30L0FwbUDYZuQE/yjHMeNftx 8+jmT7R/aQe14kaiIZlaDwVGZtoGyDMgjPQ/eJXFkwGW1FrdZbWwqeanxp5ro8+fwCsqM9ei b1I/8HOieao1092c5OGcurbCdKLwYMSqkKtGLUUzE9l+4EKSm8p47sYXY1PsU7zG8yTMWUJG WYYftJ1ab3tvi+7Dm1I4UE9yG4YVZnxwuiJwU+mP2WDYXFiD9CyRLrRhD2DPauT+67/mplXR Gm3dMldrUcpuAu0gJdMJLN7cq+O8rdXIBLSGOHpgAIo9tkYJAPUgEau5EBNxkRQsIWwNUABk 0kSVfWSr040yV9AGokzajgRtzujxqoKKdGsb0r6kCsuqojhrTUmPMEoCeEhjDJIgZaWjzzWn UTT+R0StOra1tQlWy11HYceulYZBoKDpDiGVWJ93SSy6I8w/TYKeXOCQooi74yG5HUgJGmme dOovLliBLoomaLxomBklQinJL7ugG0NAUUXq33Dbe6aBSE1OmKOgPlAHkeeVvQkd8Kysz62b Y8EVQ+upFWArNXHtG354ffn+8tvb3enHt+fXXy53v//5/P3NUgueJqGfBdVhu+ev422zo1kM 5tPHz/nBgKBZUzWP/alq69yWkiGMjJrzQY3ioxaiyYNDCACtlVyUHGzVlUk8ugd77XZgWxUf woDGumgHBmf7KPuTGkiNMaSAOPV/eMM3WYRH5LHEd48z1k/zu001omz1N0BdRCSeIQvx/7J2 NU1uIk36r/RxN2J3RyAJwWEOCJCEJaCaQmrsC9FvW+vpGLfb0fbEjvfXb2UVoMyqhJ7DxsTY 1vMk9f1dlZk9ieaOvGpOWxCiwYkLGC+XjLV6zHJF04HNspGhn6lmr5oRBcFkWNeqTpbRYHTM ndinea3mfMgveqTNtJLbQi9WsymqfBWrLHz6yErVV4bPa8xve3M1oub6WqWhk/mnrDtuf/cX q3BGrIhbLLmwRItcJu4g0JPbqkydlNFFQw8Ok6qNS6naSCkcPJfxZKwiORH3MgjG0wOGAxbG Z0o3OMSW7DHMBhJiZ1wjXCy5pICnMFWYeeUvFpDDCQGR+Mtgng+WLK+GQGI0DcNuptI4YVHp BYVbvApfhGys+gsO5dICwhN4sOKS0/jEnTaCmTagYbfgNbzm4Q0L46d2A1yobVnsNuHdac20 mBhm/Lzy/M5tH8DleV11TLHl+gm/vzgmDpUELRzrVg5RiCTgmlt67/nOSNKVimk6tRdcu7XQ c24UmiiYuAfCC9yRQHGneCsSttWoThK7nyg0jdkOWHCxK/jMFQhoSN0vHVyu2ZEgH4camwv9 9ZquYsayVX88xGoKTrEzVczGELC3WDJt40avma6AaaaFYDrgan2kg9ZtxTfan08adUHm0EvP n6XXTKdFdMsm7QRlHZBnBZTbtMvJ79QAzZWG5iKPGSxuHBcfnIPnHtE9sDm2BAbObX03jktn zwWTYXYp09LJlMI2VDSlzPJqSpnjc39yQgOSmUoTWI4lkyk38wkXZdosF9wM8bHUygTegmk7 e7VKOQhmnaT2jK2b8DwRttrlmKz7bRXXqc8l4UPNF9IRXsSdqYboUAraCLue3aa5KSZ1h03D FNMfFdxXRbbi8lOAqdt7B1bjdrD23YlR40zhAx4seHzD42Ze4Mqy1CMy12IMw00DdZOumc4o A2a4L4iy7i1otXskC/7bDJPk8eQEocpcL3+IIhVp4QxR6mbWbVSXnWahT68meFN6PKc3wC5z f46N95z4XnC8Pn+cyGTaRNyiuNRfBdxIr/D07Fa8gXcxs0EwlPa563CX4hhynV7Nzm6ngimb n8eZRcjR/A0vO+dG1rlRla/2yVqbaHocXFfnJsfOYupGbTci/0wQknbzu0vqj0JtVZOEXu9i rjnmk9xDJpxIM4qo+W2L71PDjUfSpbZFYYYA+KWmfsuied2oFRkurEsTBLj69G8oYvOANK/u fvzsjUaP95iaip+erl+vb68v15/kdjNOc9U7ffykrYf0ndu4S7e+N2F+e/z6+gVsw35+/vL8 8/ErvPNWkdoxbMjWUP32sHaD+m3M3NzimgsXxzzQ/3r+z8/Pb9cnOBGfSEOzWdJEaIDqfQ6g 8TtqJ+e9yIxV3Mfvj09K7NvT9R+UC9lhqN+bVYAjfj8wc7+gU6P+MrT89e3nH9cfzySqKFyS Ile/VziqyTCMXfvrz/95fftTl8Sv/72+/cdd/vL9+lknLGGzto6WSxz+Pwyhb6o/VdNVX17f vvy60w0OGnSe4AiyTYjHth6gLmMH0FQyaspT4ZtX4dcfr1/hNOrd+vOl53uk5b737egdh+mo Q7i7bSeLjW0aPiva0aSD/H59/POv7xDyD7De/OP79fr0B7pYEll8PGOH7AaAu6Xm0MVJ2eCh 3mXxKGyxojphz4EWe05FU0+x21JOUWmWNKfjDJu1zQw7nd50Jthj9nH6w9PMh9T1nMWJY3We ZJtW1NMZARNcv1NfVVw9D18Xu7QrL/haSeVIr80tGIyUVBrrhETDgEGosUuDxZ+IG2VzDNvB vBvjS4k0q+AUOtvXVZdeUMbgiS085ljgV7xGPi2Wwbq7iF1mMwftZI5HbxrgVvTwvsKka1BH +q+iXf8W/La5K66fnx/v5F//ch0o3L5NZG7HqOBNj49VMRcq/drYN7ikuAIMA/fPKxs0r+F+ MWCXZGlN7C9q24gXbeJEZ/XH61P39PhyfXu8+2EeMNmT/rfPb6/Pn/FF9qHAtoviMq0rcI4p 8TVDju9k1A+taZMVoI8mKJEU8YCi6dJEarce3TKRclaTdfu0UHt9tG7d5XUGdnkd80O7h6b5 CEfxXVM1YIVYe6cIVi6v3fwaejkaSRyeZjmWomS3E/sYbqHRcFvmKsNSxDU5WS8gv6dj157K Fv7x8AnbgFCjdoNHBfO7i/eF5werY7c7Odw2DYLlCivB9MShVbPzYlvyxMaJVePr5QTOyKv1 fOTh18wIX+J9IsHXPL6akMd20xG+CqfwwMFFkqr52y2gOg7DjZscGaQLP3aDV7jn+Qx+8LyF G6uUqeeHEYsTvQqC8+GQV6UYXzN4s9ks1zWLh9HFwdXe5yN5tjDgJxn6C7fUzokXeG60CiZa GwMsUiW+YcJ50MqSVUNbO9ynO6K7Lfxp35vDW7pUxDF6fTZCYP5MIlMkD/kJNNIWLmIZkLnB eEk/ooeHrqq28BoBP4MjPmvgV5eQi1oNEUOQGpHVGd/raUyP3BaW5oVvQWSBqhFymXmUG/JG eV+rKR1PAj3QZXgiH0B7dOthGN5qrKw5EGq4LR5i/OZrYIiltAG0dI1HGB/w38BKbIk19IGx FhwDDMZvHdA1Uz3mqc7TfZZSU8EDSfWXB5QU/ZiaB6ZcJFuMpGENILWWNaK4TsfaqZMDKmp4 GasbDX1117+B7S5qtYNOHsHlvPM81qwWHFjkK7376n29/Pjz+tNdAg3T8j6Wx0z11Dousoeq xoveXiIWWdsffeElkRXw8FWbn+CRLTSuHSpENWCAnUfpIo7e8oC3apypGRzsCbZqn3JiOJkl 55qoZY/UWWbdpejAxpTKqyOg7/vz8kOmrSky38PjGbW+APfG4Dt47Qh8wqvTEU1OZ+16F16r qB5U5M3v3u0NG/64Kyu1elFthH3tRiS1mH6JWp3imtMnd6W3RhiNuWDESRuexkPeoQArMdBg JbVup5pv2zP66qJWO0Hivlx9qN8AkvHyKBJ9U/DLAjra6geU9LEBJB13AM3zTnPsJdPyLolF 7j7eB7SLL6i6QdhoAVyKrddtPXLGzrGX1ezXcPw9GYD6kxwmW3QzG3uyYqh9rnosLuEe0Fm9 JXRA9YNbR7bw8DoGoZ6LWt3z8FGlBNU6/Bzivp1vODVir8RRSoe1ucixlYLkoKasbHyyh1+5 GP0w2iwGsBaF3LuwCr8RLkya2wCqRtxUbnR69tti1beBuWyZhOhiw+PdGKc2KkBhNV+IFCbS PbHulp1OcVm1tweTt5WLNqEyvo57sXByXn46wlMyNSHDmdCtHkFTDfYzos4ErAGYvc7wMDB5 fXl5/XaXfH19+vNu96a2nHCYh3rZbXdkaxMiCq5O4oa8dwZYitBbUOiStca7RiUTyhxkemR3 Za7iPiXV/mLNcpZeP2IOeUCsIyFKJkU+QYgJIl+TNT+lrCc5iFlNMpsFyyRpkm0WfDkAF/l8 OSTSDMuCZfdZkZc5W/K9NhVHSb8Q0uNzDToj6u99VpKm2t1XtVr3sBtvrSvGMWQRh/CqLWPJ fnFJ+FLY5a1aVOqnNKTdxXpVICkIWi5yvVgw6IZFIxuNy1h1+m3eyO6hFqeTAks/PAir1cNS MQAlUQc9VmXMZjCnNkoG+eTjvjxLFz/UvguWUnAgIyn5o5JDrtp8kFyWC76taj6aooJgMRVq sJmkXFOTtEv7PvpUv/4G/96oacvmvGWFETGZtm0F7lmwzlTSD6QUUAPFmRZjXrRhUTDYvYvd t4KN3XVA2eQqJt3RhsWSGcSRETB9oNlc/7yTrwk7pOvjVfAqy467jQ+nB9OU6kzE3o8rkBf7 dyTgNPUdkUO+e0cCDhbmJbapeEdCbbDfkdgvZyU8f4Z6LwFK4p2yUhIfxP6d0lJCxW6f7Paz ErO1pgTeqxMQycoZkWATbWao2RRogdmy0BLzaTQis2nUSsvT1Hyb0hKz7VJLzLYpJRHNUO8m IJpPQOgt15PUZjlJhXOUOYaai1TJJPFM9WqJ2eo1EuKst5H8UGwJTY1Ro1Ccnt4PpyznZGa7 lZF4L9fzTdaIzDbZEJ7Eoq3Y/HjPDvdwgWVUitgoNK92GUTfyxEAF7FpfpmRKNSCZ4YWB7J1 dfnZryX8M8We0ByRS55CIN18KuMKfiQzElk2LbFvt1uWiFu+nSjcPsbFwYED6dvtnTaD0S3B yidZZPRELMJFAPvNBC9JejIRnrdwSK0dvE/xtktDalud8DmkZgC1cLxeQuVQUGdOJBLs2YTE etRI18IOSa+UinSCUSgythCL+26fJJ3azq0oWhQOnPfCqwVef+ZjEEFL0ROLGll8g6cyZ9AA v1MeUZLvG2rLnlw0NbJRgNU0AD25qArBZNkJ2ERnJ7gXZvMRRTwasEHYcC8c4sqTfcGjcGUK Gp46iNWawiBLyhICaM41HEw7YezZEMSZg83RO0OAFjWHn0QspUOIIu/U/3pRT4Ybo2e/Ix3h KKTs2gSfFkEzNhrudJk/qL3bmqDAZUV2sTZh9afYs5CNjHz7YKUO480yXrkgWNhgwCUHrjlw w37vJEqjCSe7CTkwYsCI+zziYorsUtIgl/2Iy1QUsCAryuY/ClmUz4CThCheBHvQQaHHZQdV g3YAYDZhn5V2dgdYDfZ7nlpOUOASUv0CJzEyO/FNU32pOjnZ+jtsI3hWdRVcuOjISK0Lz1jl 0ziVgFkrWNGjSUtALaOlDiLBGtLaCoi3YL80nD/NrZYsp9OZ7/KLfZKpsW53Xq8WnagTfKgA 5klQWC+EkEkUBgtK6ADp46ARMjUjOUZFW9iWt1w2nGUjnHATHz6tUFB+6XYeXKxLh1ov8i6G qmLwQzAF1w6xUsFAvdnybmICJbn0HDhUsL9k4SUPh8uGww+s9GXp5j0EzWGfg+uVm5UIonRh kKYg1JB5/LUVBepQBtML3d3EYrgB7SgyBwE6OpLhPunN8uEtBH/8P3x7eJAiL7W/jl8uZi0Q EdE70UGnUvL1r7cnzgMY2F0nNqkMIupqS/ugrBPr9Ha4Tze22zGsD09tvDcY6MCDuUCHeNCm hCx01zRFvVDN18LzVoBJIgsd3jbauN5eBDYKJ8l2AKmTD9ODXFD1n4O0YNOOLNBY9bPRUiTF xs1Bb3Wva5rEpnrTjM4Xpq7SbQuxwMhDGryQG89zoombUyw3TjG10oZEnRex7yReNb06s9HR pbZdV6Uul0bVeexUTZ98kcsmVlVXOYzqeGDo2GmbAh+fx3VfXJLDumC1zRvMFPoNiVMqBAe7 F7KpM/zEwZKoqlMHTz3iWr9jurVasHpWqyyflfhiEa5DtCSBQ/KT6gPlKOIF3kL/RyJSQ/8g oAJQS1BnuB/oc3ksq4eSft4nUaqt64oQl02h36HmeJiJmwIsD5FS0pB0kCbZ9pXgVEq/giiS xqH65Yi+YSLltGsKp2PCbZPalDqtEeyG9Lb9Jdi8SgoUEVj0suVhTfBOGA3tLzqxH+Cci5aG HOqcxDmiRXNGzXFYnFWyKRhhEmU21lSTOwnhb3p1h2nR+cUhXMIIU9Qhg3mBAwo3y/CEey9Q 1kyitNU9VWJJ4/ZZ2YBxPdw8ElVkHhrrrLMza1YaKy7OT9uqpa23OCCdLv02HURuL7MGA0RE TpyW/sJI4sDGs536QTU2GtA4ZVhf9aYaiewwA1K0yQe7WyonZbzHjc1ccFkfmOswC+wLwbJp Yk6B4LAnxxoWZp45SDvVxnKePOUF+AJzEt+JNGHQ3oCTlR6wj1ek9xbcW9vLRW5Fbaxj5dUl tjHymsZAN/8c5mUdaBA9P91p8k48frlqRyiuo/ghkk7sG7DV6UY/MHDI8B4NG7Id9YHsyOnx Ur4rgIO6vet7J1s0zOGZyy8bNg/q4MykOah5Zo9e/FS7zjIr1n+EreuNLdwSNY2orxAaiADs Ukh6RGpJDQic8+ii2H6ERKq/XFNSo+wFHYRAE7PSpNv7gPVKZC+vP6/f316fGIOyWVE1GfWX 2R+yKqxfilvUfXBZzzBxKgWHF9hC3A0WMQs/JI64GkTdKB+SUhWYyE+/E9U3J8emJL6//PjC FAJ9p6V/akN8NmZOpMG3VFeqOeWSzQiQY2KHlaD6wtESq7UbfDTidssfycc4OcIKCjRWhopX k8W3zw/Pb1dksdcQVXL3b/LXj5/Xl7tKbab+eP7+76DR9fT836qzOV4MYZUvii6t1Ahbyu6Q nYS9CbjRQ+Txy9fXLyo0+crYMTaXFUlcXnDt96i+zIjlGb8DG/y3qkwmebmrGIYkgZAF/uym G8Qk0KQcdNs+8wlX4TiPjMxvmMhhjkfbW0TIsqqEwwg/Hj65JcuN/bY6iDydgps9z+3b6+Pn p9cXPrXDbGueuf/CmRic6Nw2oQZQxYgLiQ3f6OG24rfd2/X64+lRDcj3r2/5PZ+IQZ2CrlkB UX0sS47EqBpQW7UGsCZxAtPpUBtD5r+4/wdfwMty/AIUyP25kRQBB6+C9sH38j8qAPKlYhaL ycWn7ZYo+bnhwZ79778nQjT7+ftij8atHiwF8UXOBNP7Nr1dxzKdtl/P0BWO6lZ1TG6aAdXX EA818e3a6CeJ5rb4ZryRi1In5v6vx6+q5U00bXPxpiYh8J6Sbq35D4yedvjGFg+9srZxuc0t 6HRK7BlRpkW4WnNMkaplfBWnmR3wfZH3o6U9l9VFswOvi/ZVor5G/OVAIrVA6X7K302CoHaH mTkhCN+epyXxY43mVzqu9UtqooHB1hYecJybJX0IMJ7927hzZYNgfGdzg/GdBUIDHuWFN3zI IQ9HEzAKG+603fsrhPKyOB0IxuWB4ISVxvdVNzRiZSM2YHxlhdAVi7IZwaWPUV6YzzUpfQRP 5AQnpFbjO7QwW5CBimpLzgjGJf++3jEot9iAVj51ZSTIecWI6VW9Yzpz5Jk49BWIrOmJGpym 6a2It/QhGSwH9uSnOC8MprloRTnIp6F2Z2JB/Yafqgc9ZDCcKNig9BJlr4Yp615BJ+S4BH/g TCrQrN6/LkWFZj88zcsGPEfkvcDt07M+96ULq/b56/O3iZm2N5t/SdC5Sb+rt1ZaA8pO8UwU OHOf8JD9qfWjYDMR0D9bzg9BQRjZZVdn90Ne+593+1cl+O0VZ7Wnun116WReCLVHrco0g1n3 lncspOY6OFSKid8bIgAlJOPLBA2ud6WIJ79W22Oz7yIpd7Ys0K/6btRrlekMv2C+Pi6XUaR2 +onL3wqpyy7gAfaXnRoND3GUFdZVYEUEDAETIuOwku7QQiRrm+TmcC37++fT67d+J+dm2Air zXfSfSCqrgNR55/gfb6N72QcrbBZ/h6naqs9WMStt1pvNhyxXGJbUDfcckvdE6Ip18TiUI+b ZQg8ZAFbxg5dN2G0Wbq5kMV6je3R9jAYq2EzoogE+fYaVqjazDc9chEnb+N3hcCesWFHkO/Q WGRcwHRlhsc2vd4t8PV1f36PhfrGIUEl2jpWwmI5zkMO1tfPux25IBqxLtlyoqB0rkB5Jl6j gT+CcmxnDGEjuHc4rHapfVyENf/EumPoG5qsIVYJY8Mo4mMR+eDo5ffwID6RNNM3X/6ZWTGk +zNAEYbaE3Ge2gO2WS4DEn0/tTP1cBdSv32f/E5UW9e+mk88aoeHGBJ9GvvE1VC8xBpNaRHX KVa3MkBkAVinHzmSMtFhyx269npNQcP2L8BoLTXDp6BqPcGBEZ45HtyrW/yxlWlk/bR0cjVE NXLb5MPRW3hoxCmSJbF4qraMatm9dgDLHEIPkggBpI8pi1jtCX0CROu1Z2kU96gN4ES2yWqB 9WAVEBDjiDKJqaVV2RzDJbb0CMA2Xv+/mcrrtIFH1TNPDXa1lW48bF0WTOYF1KSeH3nW75D8 Xm2ofLBwfqvxVa0BwBI92HQ6TdBW11RTTWD9DjuaFOKBBn5bSd1ExPjgJgw35HfkUz5aRfR3 hG56+lM+NScjTJ/hxUW8Tn2LaYW/aF0sDCkG901ao86Cs1qtSq0wE21wxLNAcFFHoTSOYMTZ C4qe7PCy8pKdKgHeOposIcYwhqdvWBxeQ5xqWJMQWJ+otf6aooc8XGHLEYeWOA7Iy9hvreLJ SzjosUIHk1lWoQ8OzGzw/yr70ua2cWXtv+LKp3urZtFu+a3KB4qkJMbcTJCy7C8sj6NJVBMv r5d7k/Prb3eDSzcAKpmqcybW0w0QOxqNRvfUyjEu/cnsfGwA/LkuATysIApFImwzAmMRuVwj SwmIwNf4Klg4xEn8fDrh7ngRmPGwhQhciCTN2zh8TgRCGkZhkr0RpvXt2BxOzRMFrxBo6lXn IgwBGtvIhCSq7bBznXdBOj5kvc/sRCTfRQP4bgAHmAeqJb3RTZHJMnWCtFkfHUBWMlPwWAOi gYOOT6tY+nrRcd50bfnS3uEmFKzJktzBrClmEphUEiKjKWNGkgmdP1qOHRh3qtliMzXivqY0 PJ6Mp0sLHC3VeGRlMZ4slYhB3MCLsfTXTDBkwG3/NXZ+wcV8jS2n/Cl5gy2WZqEUbDTCPS+i CRw0jI4EuIz92Zx7+dqtFxQ/T3i+AwFU+yQUeHOcbybLv/f8un55enw7Cx8/c2U8CDdFCHt2 HDryZCmau7Lnb3BWN/bf5XQhXLAyLm2n+PXwcLxHD6nkcI+nRdu0Ot82oh2XLMOFlFTxtyl9 EibdUfhKRPCIvCs5svMEn5mzBQ2/HBXksG+Tc/FL5Yr/3N0uacvs7VzMWrmkUV0vZUwvB8dJ Yh2D9Oulm7jTJ2yPn9v4q+gWVRub9u3KpGV9spHrnkHuzy5d5dz58yImqiud7hV9YavyNp1Z JhKjVc6aBAtlytkdw7Za8QLZGRviuSyMmyaGikFreqhxDqznEUypOz0R3ILnfLQQAuZ8uhjJ 31KKm88mY/l7tjB+CyltPr+YFIY3mgY1gKkBjGS5FpNZIWsP0sFYnBBQXFhIf8dz4RpE/zZF 2fniYmE6EJ6f8/MA/V7K34ux8VsW1xR2p9LT9lLE7gnyrMSoQwxRsxmX/LuwsJwpWUymvLog 2MzHUjiaLydS0Jmdcz8gCFxMxLmGdk3P3mKtMKGlDpS0nMC2MTfh+fx8bGLn4gDdYAt+qtIb SeCJveHkSO7cn39+f3j40eh25YQl97p1uBMeR2jmaB1r6353gKL1HkrqWQRDpx8Sbp5FgaiY 65fD/38/PN7/6Nxs/weqcBYE6s88jlt7EW17SMZYd29PL38Gx9e3l+Nf7+h2XHj2nk+Ep+2T 6Sjn/Ovd6+H3GNgOn8/ip6fns/+C7/732d9duV5Zufi31nBYEKsAANS/3df/bd5tup+0iVjK vvx4eXq9f3o+NF5vLbXTSC5VCI2nDmhhQhO55u0LNZuLnXszXli/zZ2cMLG0rPeemsDhhPP1 mEzPcJEH2+dIBOc6oySvpiNe0AZwbiA6tVMtRKRhrRGRHUqjqNxMtcMVa67aXaW3/MPdt7ev TIZq0Ze3s+Lu7XCWPD0e32TPrsPZTKydBPDHqd5+OjKPgIhMhDTg+ggj8nLpUr0/HD8f3344 BlsymXLZO9iWfGHbooA/2ju7cFslUYBuCntiqSZ8ida/ZQ82mBwXZcWTqehcqLTw90R0jVUf vXTCcvF2hB57ONy9vr8cHg4gLL9D+1iTazayZtJMireRMUkixySJrElymewXQvWww2G8oGEs NPGcIMY3I7iko1gli0Dth3DnZGlpRgSBE63FM8DWqUX4EY72+wX1QHz88vXNtaJ9glEjdkwv ht1+xNWDeaAuhI8lQsTr79V2LGIK4G/ebT5s7mPumhkBEf8MDoEiZlcCEuJc/l5wfSsX/sl3 Hj7XYs2/ySdeDoPTG43YNUgn+6p4cjHi+htJmTAKIWMuz3AVe6ycuCzMJ+XBEZ1Vt8gLOIOP 7c/HyXTOQ2XHZSEC/MQ7WHJm3OcjLEMzGV2qQZiAnOUY04tlk0N5JiOJqWg85p/G3+Ixenk5 nY6FurqudpGazB2QHO89LKZO6avpjDunI4Df2LTNUkIfzLl2jYClAZzzpADM5tw/dqXm4+WE R6T201i2nEaED9wwiRcj7gxvFy/E1dAtNO5EX0V1M1jONm2Id/fl8fCmtfaOeXgpHSTQb340 uBxdCM1gc6GUeJvUCTqvn4ggrz+8DUx+9+0RcodlloToX1YIBIk/nU+4Y/ZmPaP83bt7W6ZT ZMfm3/b/NvHny9l0kGAMN4MoqtwSi2QqtnOJuzNsaMZ67exa3env396Oz98O36VZJyoFKqEi EYzNlnn/7fg4NF64XiL14yh1dBPj0VexdZGVHrkfFpuN4ztUgvLl+OULism/YzCZx89wKHo8 yFpsi+btlutOF184FkWVl26yPvDF+YkcNMsJhhIXfvQFPpAefaG6lDbuqoljwPPTG2y7R8fV 83zCl5kA4+lKtf9cBCHQAD8vw2lYbD0IjKfGAXpuAmPhub3MY1P2HCi5s1ZQay57xUl+0bjB H8xOJ9FHvJfDKwomjnVslY8Wo4Q9vVgl+UQKcPjbXJ4Is8Sqdn9feTxwS5Cr6cCSRW5dGSUX PZPHY+HIhn4bd8Qak2tkHk9lQjWXFzv028hIYzIjwKbn5hA3C81Rp9SoKXIjnYvDyzafjBYs 4W3ugbC1sACZfQsaq5vV2b08+YgBpuwxoKYXtIXK7VAwN8Po6fvxAQ8LMAXPPh9fdSwyK0MS wKQUFAVeAf8tw3rHNVOrsRAqizUGPeNXIKpYC68++wsRARjJPKRQPJ/Go1Z2Zy1ystz/OszX hTjyYNgvORN/kpderA8Pz6iScc5KWIKipC63YZFkflblceicPWXI4xUm8f5itODSmUbEpVSS j/hNP/1mI7yEFZj3G/3mIhieocfLubgUcVWl5U9LdtyBH3UUlBJQ11Hpb0tuBIZwHqWbPOPR HBEtsyw2+MJibfAUXqroYWY/LpKQnNc3Zyv4ebZ6OX7+4jDiQ9YSJGkRqQqwtXfZKdEp/dPd y2dX8gi54Sw159xDJoPIi+aWTNDnL8vhR+MfXED6Bfs29gNf+jpGYmebYMOXwvqwQY1YEQiS GYOBNW+VBNj6ZTBQ06YPweaNvAS30YpHCUMo4luRBvZjC+FX/Q0EG6yRe5xPL7gEihjdtBtQ eUk+vkzGxsmtQHPfu1gsjeYiU3aJNA/n8YW6JLRRywTaGqxLUDsUkhiKVw4IqmqheWgMI7zL llxk42hAUeh7uYVtC2uY3XbhB6Pi6uz+6/H57NV66FxcyRhtaM25iXwL0C/eDAyja6TFx7GJ 7yYO5t3UhdVRqYZwCqY8RNMPzhg5hvUoRMt1jtVrXpf29V48wYoza2XtEibyS2aM37vPAF7Y ByO8hujtVvEhk0fZdI3+ibw5ePyL7TgDwd1H5pxb1HdE6AQbRQdxBqlUsyWeo/hHW/btUn+F XXe0j+dYqXfhqsJWzE0s4u6LNJQF3C5XYzmvnIZUyLhikKL89UZ2Q+7BmQYPSbgV+NwnBLZs 69oIGi4IuZsN7dUUOMg4Wb7LygOjosCnylD4yOneMxT2MOePHXpif4IzJ0z3qdzzL2WUFW0r UWLIeHn2xXh4kCDzSx4Xj55qbLF/yZO538dlYSPgNMUrt/zZUgPu1Xi0N9FmozBRc6tovKqL UA0aQzsxE4u9tOQe/xtUX3SasF7PXaD2mgoNYhXE4aRHE/SbukwpJyEXRk6E6+s+k5uW5CQf z62qqczH8IIWLN26aVCPIfOLiGoXrQahc+E1gNebuApNIj6N6b/b+PxqfeBPxR26QVwI4+qm bNwlmT4vbG8wMuYrPYvptwV071Hgor9lhv4MrBN0zBEIMsLtZTc+KchKvl8CUUeDEJA23xKx txp4EbFvmMQLRxoaUssV+UF0UOrNPv4ZbeqkjSfecMKGOMWtyqibDtzgIOjwC7IGnXMzcuNo 1VmHcXAUoycYhU/VxPFpRLFvAh4Ik/IhR4IeN2HuYKupmwo4qtw4FQvyIdysWEtREfqYkjR6 QELxFBy9He1Bvh4YIY3fGytR4yTHgaNQAPNn5chK4S6RZo6218sgCJeVQdSegKbnc3pB00YT M+eKXppdja4Jdp1pu4V8KRZXYpWV06uSh7vh1OX+RGLtYtpFz/dePVmmcCJQkT9AcswSdJVl fwvQir+KacG9sgcImWHbbeHl+RZdwCVBAn06ktTMD+MMrauKIDQ+Q3unnV/zWPtqOVrMHF2i 3cUQeT9ExukwceBXSe5C7cYi3GqXFq3HszRxkWA6b51piGB2VuHR836rAXqHtE7YtcD1NLsu gmYsTf07vnyAECaJWezOtxDOxW1gjm5Jd5Sne5JsV6Pz5XiTh0OftdqrMeQPcjOMKCPS8jRM pqKIJaF9+2aXXyehBcVauzsBwk7GSdMBkt0iaJiIVt/jKSwGUAlrB+7oswF6tJ2Nzh37Oh2F MXTa9sZoaS2a7K0kXrKYz6yZjIG5WwFZ7pZEkQ0BEhkGqjPqXwLTeDI2Vg7g3SRRRC6UuXpS iEldAnyk64sI20EcNiEp2UGGvzWEH7WIIIhAnHc2rPnh5e+nlwfSfj5ocxf71I5HYZ+ecTPt RQPO0Dmn6T4L8Pn37y48lRlYHIGq5GfaXbkOgkJStFM4KwcYKg1f35wnKtlJrNwLRrmt0gDN 0uP+HaMVKV1HRmcfb0KlryJMS47tBmhce2ek0td86uOHv46Pnw8vv3393+aP/3n8rP/6MPw9 p7c2M9p6HK3SXRAlbHFfoYPgcAfNxv2XYDxZ7m8afvuxFzFVC3LwIM/4oyNmazM/+ip5U2Wq EK+LHMsx8bKbgAcDqC+NzEXYevppKko1SKf3yExKcOZnPAakQaCIXAaxPYCE6K3NyrOlOnLF R1jG51AiCcl5QwfprXst8+63LcmsM0Zh2VkPvRhiyEyrnI3/Ch7RuVuunR/R5rdm+XWsE8nf +fpy5qPSnYJW2uT8lIphJ1VuNWnzWMiZT+eRWhvkXZ+9vdzd02WVuZRJx6VlomN5otl5JC2Z GwL6CC0lwTADRkhlVQGnCkBUFodO2hY2sHIVeqWTui4L4V0BL95jWIZsRK7mHbpx8ionCpu+ K9/SlW8b27W3DrQbt1uqUZPxwH/VyabodByDFHTjzrYF7aE0xxXNMCS3SOQu1ZFxy2jcsZp0 f5c7iDiYBusC/VRG+8Zpi01vXi25vwoL+8w0/G1piedv99nEQdVxzK1GWBdheBta1KYAOe4k +p6wMPIrwk3EtUWwTjtxAoN1bCP1OgndaC3cnAmKWVBBHPp27a0rByqmgOi3JDd7TkXiR52G 5NagTrOAScNISTw6OEvXFIygH+nYOPy39teSpIRLe0JWoYx3jmDGvZaVYXedCH/aDm6yXHPw n7XaJnVa4WoV7SiCuKLg4e09LMunW5GruIxgXOxpZJg2Tg4HcxU+7NucX0xYszagGs/4ZTui svkQIW/7bkMpq3A5bF45E3BVxG0w8Rd5jpEfQb/AQkWOQOOLTrhI6/F0Exg0MnWCv1OUpZ2o jlPwY5DU+KLrE8P8Qx6x4HfGUH5amoTWkEqQ0I34VeUFQSjfusjrY/1s5PjtcKbPDNxZkA7u fp3hC0vfD7kye+ehGUYZYhz43CuUiFCAAe1FBLdwX05qri9ogHrvldyNdgvnmYpgmPixTVKh XxVo3s4pUzPz6XAu08FcZmYus+FcZidyMaKaf1oF7IyHv0wOdB24osZmwkwYKZT3RZk6kDxt cjV/g5MfAelQlWVkNjcnOarJyXZVPxll++TO5NNgYrOZkBFNFNEPPxtpe+M7+PuqykpPsjg+ jXBRyt9ZGuPlq/KLauWkYMTySL+0YsRrr0jPjq9nj09o2fsmiVQRTm1om7WSo74BagxRgkHG gpitCiDRGOwtUmcTfjDv4M63Vt2obh082KLK/AgVGDehyzjbuIn89LMqzXHYIq5W72g0RptQ F6LzO46iQq1yCkTy3Wp90hghGvQUVLt05RauMTpAtGafSqPYbNX1xKgMAdhOotINmzllWthR 8ZZkj3ai6OawPkEPi1GCN/IhF+daQRPxa0lsFn7KHVqh0GhprWwETuYYICfLeUEi9P+eGb57 0SkcOk24GaBDXmHqFze5WcA0K0UnBCYQaUBbK/UJPZOvRZrdBy/lk0gpGS3dWAvoJ8hqJWmP aatdi+YFeSctGzac1qJOGjbGnQbLgstQV+ukrHdjE2ALPaUSdhpeVWZrJXcZjcnxCM0iAF+c WzMY47F3I1eKDoNZEEQFChZBxH16Oxi8+NqDM+o6i+Ps2smK6qG9k7KHLqSyO6lJCDXP8pv2 WO3f3X89CBfSxmbXAOZq1cJ47ZVthJPMlmTtpBrOVjhx6jjioQyIhGOZt22HmVkxCv9+/xhW V0pXMPi9yJI/g11AopQlSUUqu8ALPbFfZnHErUhugYlP2CpYa/7+i+6vaBvvTP259so/09Jd grVe3nrxWkEKgexMFvzdxlrw4cyDZ4SPs+m5ix5l6F9fQX0+HF+flsv5xe/jDy7GqlyziCxp aYx9AoyOIKy45m0/UFutl349vH9+Ovvb1QokHgkLSAQuSVcgsV0yCLYPKoKKOzYlBrSn4DOe wJzioGSwzWWFQfK3URwU3FrrMixSXkBDEVkmufXTtf5rgrF3basNLIsrnkEDURnZyh8mazjl FKFwM93ZA22iDV4o+0Yq/Y/uUNZXjv7ovhMpnzYXDL4UJlxOKbx0ExqDwwvcgB4cLbY2mELa otxQE6ZGbAFbIz38zkG8kvKPWTQCTHHFLIglMJuiSYs0OY0s/BrkitD0FdlTgWJJQJqqqiTx Cgu2x0iHO0X5Vqh0yPNIwut4fJ+ABnQZiQXKZLnFN6sGFt9mJkRPiyywWpGFWCd8N19NYHGq 0ywNHTI4Z4GdP2uK7cxCRbehU8jnTGtvl1UFFNnxMSif0cctAkN1hz50A91GbJVvGUQjdKhs Lg172DYsYJCZxujRDrd7rS9dVW5DnNKelOV82POEJEK/tQgJq6DJWCclu9VSV5Wntjx5i2iB UssArC8kWUspjlbu2FBPmeTQbeTyx5VRw0GKK2fPOjkb489TnzbauMNlf3VwfDtzopkD3d+6 8lWulq1ndPu2oviwt6GDIUxWYRCErrTrwtsk6K24Eb0wg2knDJin7iRKYTkQMmdiLpS5AVyl +5kNLdyQsXgWVvYaWXn+JfqwvdGDkPe6yQCD0dnnVkZZuXX0tWaDlWwlw4/mIAsKV1n0GwWc GPVh7RpoMUBvnyLOThK3/jB5OetXXrOYNHCGqYMEszYsflXXjo56tWzOdndU9Rf5We1/JQVv kF/hF23kSuButK5NPnw+/P3t7u3wwWLUl3pm41J4KhNcG1qABsZDR79+3qid3F7M7UYv5yQm sGXeIVOHJUbpdAtfqSmUw29+sqXfU/O3lBUIm0kedc11wpqjHlsIewWQp+1uACfLrOLve9J2 HzIwDN3nTNF+ryZDa1z5aLOro6ANIPDhn8PL4+HbH08vXz5YqZIIA7aK3bGhtfsqfHEVxmYz trscA/F8rz0v10FqtLvZT2sViCoE0BNWSwfiyUoDuLhmBpCLswZB1KZN20mK8lXkJLRN7iSe bqBgWNG1KchjMIizGWsCkjyMn2a9sOadfCT6v/Hw12+GVVrwKJL6d73hq2yD4X4BZ9w05TVo aHJgAwI1xkzqy2Kl38K2YpJI1kYJjFJqoRDVaWjap1ySR5PE0FGE+VaqijRgDLoGdcn0fiSS R63KeCJZag+VRH1JG8fhkuc69C7r/BrPiFuDVOW+FxufNYUowqiIfJfRX/djR5sQyWyRDjNr oPXaeGg3DIk0daiQdmNmgSdPoeap1C6V58qo46uhSRXXDVzkIkP6aSQmzNWhmmDL+in3VQM/ +t3LVtggudX41DP+al1Qzocp3H2JoCy5oyCDMhmkDOc2VILlYvA73BWUQRksAfc+Y1Bmg5TB UnO35gblYoByMR1KczHYohfTofoIN+eyBOdGfSKV4eiolwMJxpPB7wPJaGpP+VHkzn/shidu eOqGB8o+d8MLN3zuhi8Gyj1QlPFAWcZGYS6zaFkXDqySWOL5eCTxUhv2Qzi0+i48LcOKe8/o KEUGsowzr5siimNXbhsvdONFyJ82t3AEpRJRhTpCWkXlQN2cRSqr4jJSW0kgPXKH4EUq/2Gu v1Ua+cJqpwHqFGMbxdGtFgU7I1imdBemEdp57+H+/QUdQDw9o+NLpl6W+wr+osOCVxpgEV5V GKvSWNMxrmAEsjicyYGtiNINvxG18i8LvPQNNNprGfWVXIvzD9fBts7gI56hmevksyAJFb3A K4uI24Xbu0mXBI8aJMRss+zSkefa9Z3m9DFMqffrInGQoSmZZBGrBCNv5KicqL0gKD5OJ+eL ZUveojno1iuCMIXWwLtGvJMiScb3hC7eYjpBAoE1jlEYPMVD5lS5x29FQRbFm0xttcmqhqcQ n1KietGMxesk62b48OfrX8fHP99fDy8PT58Pv389fHtmNt5dm8Gghim3d7RmQ6lXWVZiZA5X i7c8jax6iiOkWBInOLydb97wWTx0Sw7zA21o0cioCns1eM+ciPaXONoLppvKWRCiwxiD00op mllyeHkephQvJUUXfzZbmSXZTTZIIHcDeGedlzAfy+Lm42Q0W55kroIIg45uPo5Hk9kQZ5YA U2/10cQoHSxFJ62vKqgvvuALy1LcdXQpoMYejDBXZi3JEOvddDvOuc1nrM0DDI2dh6v1DUZ9 hxO6OLGFhCMDkwLdAzPTd43rG4+HjO9HiLfGF8r8+YbDxKWD9CAqRfDrnuipmyQJcbU1Vuue ha3yhei7ngVNmTFI3ykeGmCMwOsGP9oI3XXuF3UU7GEYciqutEUVh4qfzJCAXoNQUeg4nSE5 3XQcZkoVbX6Wur0z7rL4cHy4+/2xV85wJhp9akshVcWHTIbJfPGT79FA//D69W4svkRaNThy gRR0IxuvCL3ASYCRWngRD6pJKF6knmKnCXs6R5IhItQbRkVy7RWowOfigpP3MtxjtISfM1LA lF/KUpfRwTk8boHYijfaoqekSdIo45ulCmY3TLksDcStJaZdxbBEo2GHO2uc2PV+PrqQMCLt vnl4u//zn8OP1z+/Iwhj6g/+OEpUsylYlPLJE+4S8aNGPQacuquKrwpICPdl4TWbCmk7lJEw CJy4oxIID1fi8D8PohLtUHZIAd3ksHmwnE5FucWqd5hf422X61/jDjzfMT1hAfr44cfdw91v 357uPj8fH397vfv7AAzHz78dH98OX1Ag/+318O34+P79t9eHu/t/fnt7enj68fTb3fPzHUhI 0DYkvV+Sjvfs693L5wN5pbOk+I3vw5JabXDDhFHsl3HoobTRhFSHrH6cHR+P6KT5+J+7xmd+ v+SkEQWhR0HDuJLueJxfoI39X7Cvbopw7bI6HeauhXpLMOKc0tXsJU8NkXniJcnYdEc4Ho1s Hr2JKVfyokrpwtqSIKml0LkKCuTdQODq2ZYDX6xIBhZv3tkfLXm4t7uIKeZprv34HpYgUoZz 1Z66Sc0YFRpLwsTPb0x0z4P1aCi/MhFYaYIFLKh+tjNJZSd4QzoUhzHiI9MgmkxYZouLzoNZ O4D9lx/Pb09n908vh7OnlzN9augHv2aGPtl4eWTm0cATG4cN0AnarKv40o/yLZdbTYqdyNAo 96DNWvANocecjLa02hZ9sCTeUOkv89zmvuQvUtocUCVgsyZe6m0c+Ta4nUC6+pPc3YAwzKob rs16PFkmVWwR0ip2g/bnc/rXKgD9E1iwNjDxLbzRtkhQRYmdQ5jCQtU9c8rf//p2vP8dNsCz exrQX17unr/+sMZxoayJUAf2UAp9u2ihH2wdYBEory2F9/72Fd3j3t+9HT6fhY9UFFhEzv73 +Pb1zHt9fbo/Eim4e7uzyub7iZX/xk+swvlbD/43GYGodTOeCr/47UTbRGrMvdYbhNhNmcwX 9gDKQG5bcPfenDAW3nzb7gqvop2jSbcerN+7tq1WFDsGNRWvdkusfLvW65U9uEp7fviO8R36 KwuLi2srv8zxjRwLY4J7x0dA+rwuuH/DdrpshzsqiLy0rJK2TbZ3r1+HmiTx7GJsETTLsXcV eKeTt+6fD69v9hcKfzqxUxJsN8CelmAHczkeBdHaXmKcS/ZgyyTBzIHN7dUwgmFF/pTskhdJ 4JoECC/sUQuwa/wDPJ04xrg+WFogZuGA52O7CQGe2mDiwPClwSrbWIRyU4wv7Iyvc/05vb0f n7+KR5jdhLdHMGA1f7rdwmm1ipQFY1gROLna/eQEQXK6XkeOIdMSrGh77ZDykjCOI89BQI35 UCJV2oMKUbuHhXuWBlu7N7PLrXfr2VuR8mLlOQZJu1A7VsjQkUtY5GHq2P0SuzXL0G6P8jpz NnCD902lx8XTwzP68hYRvroWIWMvu8e5fWKDLWf2AETrRge2tacomTE2JSruHj8/PZyl7w9/ HV7aoGKu4nmpimo/L1J7RgTFiuLgVvYmjxTneqkprtWJKK49BgkW+Ckqy7BA9a64MGDSWe3l 9uxqCbVzQe2oqpUzBzlc7dERSSC3FxbPsY+RXkw+GW0p13ZLhDuQMYsdTNHaD5U9KpEBHe/4 npcMzVbJ03Qy+scLlT1kBLNHhf0l3tMZmVYjDpZPdtsLOimw8EB8cYpLOrod4tAPvutyGwcf J/P5T9npQK252cXC6eY9XQrWDVc/Ye064TRbfun/nAkPYaeYgtzzJsP9mUd+tvdhMDqpCkpa uIdo49jMuaZgyrkt1yGunaUPHWYYh2OP6amlawvqySAonKBGDpmtp7oOMiJnGC/u3H3fPqo2 eB3Yawm1Un4ylf7pTIk+jALf3ca+2Ii9XVQlBtbzplEpQm1ZpNpP0/l872ZpMr+N3AW58u0t UeNZMjhyomRThr57cUe67bWdN4vlKJ6XdhvGijuvaIA6ytHcMKLn6+7OaBjL2D3sdlFRRu6O Igeq3PO8mF7rECffwHASz2UZhRyVKu6/UN6CkXdDoeNqiXm1ihseVa0G2co8ETzdd0h97od4 EY8vXULLcQUsWWpJDlGQink0HF0Wbd4mjinP25tIZ77npOvAxH2q5nYhD7WNMz3d6t/gaLkN owH+TRqG17O/0fvc8cujDo9x//Vw/8/x8QtzuNJd29B3PtxD4tc/MQWw1f8cfvzxfHjoLQTI 7nv4osamq48fzNT6hoM1qpXe4tBq5NnoYtFxtjc9Py3Micsfi4O2KXoBDKXuH9H+QoO2Wa6i FAtFL8bXH7tgin+93L38OHt5en87PvKju1bkcgVvi9Qr2C9AGuU2L+ifXVRgBStWCGOAXxeS DQvdF7qorZ9rODGmPpqmFORNlQ89zhKH6QA1Re/eZcRtHfysCIRL1gJljrRKViEPw66NibzY zjNHr/XSDQyGkmhez7KZi7VDk3g/yff+Vtt0F+Ha4MCHp2s8AjZeiCJejyht3rQL//t+4aM/ yVLsHf5YHAlhubAUGLCYllUtU02FBhR+cmMxicMaFa5ulvyqTVBmzkuehsUrro0LcYMDxoHL FLrwF+IQJo/kPrNphHO8rfrxmd6k0fX0zU+2KU23mjD1jTZyG2IZohZeGmQJb8mOJJ40PXBU v9OTOD66wxNMLJYfQq2jrXiF9YOjLGeGu55lDb3HQm5XLvIN1oOAXfXZ3yLcp9e/6/1yYWHk 2DW3eSNvMbNAj9vU9Vi5hUltERRsYna+K/+ThclJ0Feo3tzyQBaMsALCxEmJb/nNFSPwV5GC PxvAZ/aK5LD8AyElqFUWZ4kMg9CjaFC5dCfADw6RINV4MZyM01Y+ExVL2C5ViLOqZ+ix+pK7 6Gb4KnHCa8V9tZIHk773vKLwbvRyyuUolfkghEa07wAD34vIrxd3lqohfGdTi4UecXEHmVL9 NwjWsA1tuBkn0ZCAppyoozA3B6SheWdd1ovZiltiBGS148cevbbbkjrGsW+osKxyYhZubzp6 Ca0VZNfpCRa6aUXyuouo+TMuET+mY0EqjNH8VHmRpyXXqDZfpwNcZP6KXlAzbnJ3HWVlvJLN VISih6jl9J7poPjUd/r24PD33fu3N4w593b88v70/nr2oO/c714OdyA9/efw/5jKjiy7bsM6 Wd2U6FFwYVEUqu81le+QnIzvr/F93mZgIxRZRW7HXJLJ27s2TRxXMcjg+Bjw45I3gFYxCR2R gGv+glNtYr22MBGBnD05bP9gUKDfrTpbr8lEQlDqQvbEFRer4mwlfzkkkDSWT6rioqoNVzt+ fFuXHh8cARekiiu8pGHfTfJIvmm36xREiWCBH+uA+3OOAvLTqcpCLCewxLRL8y5QbCFv0Q3a qyZhtg74OrTO0tJ2f4CoMpiW35cWwldeghbfx2MDOv8+nhkQepGPHRl6ICenDhzfy9ez746P jQxoPPo+NlOrKnWUFNDx5PtkYsBlWIwX37mACgutAgm5FEiO4Q7tVQQ9bUsVXEeqGrdb67hS W+OtAg3eIMzFugNrsxjAaPfFX3Tgu4J043xmYZ2qusGz+uRtNu2lQWfP0558CX1+OT6+/aMD cj4cXh02XXSEu6ylV5EGxEd/wvBCP9tGa+wYbdo7K5HzQY6rCl05dXbbrR7AyqHjQJP79vsB Ppxls+km9ZKof+rZNdFgLbsLnuO3w+9vx4fmJPtKrPcaf7HbJEzJRCSp8F5N+pNcFx4c9tA7 2sfl+GLC+y8HEQH9o/MH42j/SnkBqUerFE51AbKuMn6ytB0MbkM0ZEd/YzCs+OLTEozioW+Z BNd2UnqJQ3SzOuvHxOhgKPFKX5qtCwpVEn0/3hgT4NqDqaXbIc/IjZwy26fBrZqhQXnzGDZs xYBe//Cr/dQNJg9jCaobxeMAMrAzjNP9+RGWExeXjvJmlhXdTYUWin6ZPkqDx+Dw1/uXL0Lb RG/8QNYMUyUebus8kGpsigahHYCWERZlDOKYUKGRXi2LVCb7W+J1mjUOJQc5bsMicxWpFioH jRdZ4KHnP3E21STtYM4a1Q3sONJK+lqI4pJGrnwHc5YPpyQNAzxthSmepGu/Np134QEuo1u6 0aTiatWy8icVCBtXi7S3NyMM9hdpWfpreI0bLr7T2LT6wtEAo3n+FMTOanRt9W7Hg34Ma+V7 1hjWZryVEm7ONImbgLcIWd3IbbIjFSsHmG/WsbdxHTcalqgoK3vSDsBQHXTWKW3VG5D8aFJQ hqKAo0kT+MVotGa1wnOY2Zf68Okp3kYGAY4dIFjy2vh0D9JQLfWPkdsprjqryuZ2o5PvNUHf ejhk+6ZIJGJ3I1hr4Om7D5YJcb/CWb1xiaa5ZrUgF4C189aaq2AkN/6ija2oyNuS2N+aYbbV MV6b8xYU4yx+uv/n/VnvDNu7xy9s20b1KJ5mwxK6ULzYytblILF748fZclgq/V/haV7ijbnd Pn6h3mIQqBIONI4uuL6CTRS22CATYsxQBfv1Gj+IHuTESVzAXXkEkc4KVckeDMJcDMxznAal wQNh5tNE4tNLAL4GNGQQ3XX4ycswzPWepO8H0M6xG0xn//X6fHxE28fX384e3t8O3w/wx+Ht /o8//vhv2ak6yw1JyObpBg74O4cLXkqG5bZ2LtSTl+E+tPYRBWWVDq2a1cPNfn2tKbDMZ9fy +W3zpWslnAdplApmbP/aaVz+UTxBaZmB4BhCzUvAMkOBWMVhmLs+FGkjgm7TVUYDwUTAA6ux UfQ1cx1H/kUndqsLrQQwlY1FnYaQ4d2JpE5oHxCS0TgMBprWhlt7lN6UB2CQWWADs+6LNA/8 f4eBqJS1HQ1TpL/cZldwgcoSudsdxhoKfgH1S8tIv6TVpl9+5RQoaZAXPL6zu+tQzoHNau2A hxPgzkbHi26dmIxFStlDCIVXvSeXbmjIwhuz5aqR/gtD/dc0PA1HEJlRg8hfHUDRtrD2xlrm IL9rFDGuZ3Fu4CLySZ78bJfP1vTKZDg/pkgKSx3q5CTXsJNyL4pVzLVMiGg521gViJB4l2Hr FcEgod1C01+SsMbJyzFRFscpU38p8V0fkmn7GVubL8XxNin1b0r+0D3Ncj16CmMirqtUZ3ia uim8fOvmaZUBpnc4nYEuYqKNx7Bri8BgQYfENOSRk86rpmTnNwl1LmzmUXHocbrxbf1VX24i pNgxPdOGO1JgA7/YtXBw4yRQ1xGewM2Ks6wat1PSv1YOZ6ckL1FV6ayW9b1WnWh+qGF06BJN j/xD/fiTLmQlpabgT2SLKxCy1lYSLXVYY+Eaxp39dd0TTR8rq+9UCoL8NrM7tSV0Er9s4BXs RfhCucjILAWfMfJNu8W9FJYHD601dAK33zKSn8ySt2ED7eAHl5D7KrSaq3LDq3xtYe2UMXF3 DkMTrOvZprZ2sw9Mu7ZTLAVASyi9Am+jJLGfKXrrGuhUHK3yog0NXcoi2mzEztvPC5flCZ9g PfnBRXaXlo1rUl4au62uRogPEfF6CpuPTUY8D7VDyGz19q0o5kd11abd3dCLL4MycV73UKOR 2Y+CqTzMMkjVA0/xeCROvlW3NWAXD/MVdN1q0Vsqvw/uhM92bUDtDLaeM4d+HmptzsAXtNCM MaK5eNsS2cPTwfypvbbhHl3mnWhQrdPXnmlcK0DLpfT7WJn6Eghl5rqcI3JjefUgwOaWwcwK YBBVYrfPX+LA9/nDVH0fPkzH+BZr2I2GOQq0myFvSCfaE1iGqVHgDRP1bcpQU8WXidUku4SE raEk9FqA3B0ZDZxbTY5GdduMtII7/pl1hJFcI7bMDH2s9VNh5NxETDBLXtG6MjyayCuSdHyl x1PCnYUSJHVm5ofw3TZsra7Dp+719vrJ+D6eOrkbM8hHrpFaTVqTAhl2iKJqw+T0vsc9dETr mjJMs7YJmBBt/2rU+nb8UCIah+EeI7fWGZcMGI3upvS0/vhhN16PR6MPgu1SlCJYnbiBQCp0 0yrz+B6JKAqBUVqhG/jSU/iIZhv5veqmv4RckSIPV2W88RHqM6IZP/EKoL/U/yEH/Ep5Iox0 p23V8XobN6fCXTq5Qms4mPiWDVFgksKim5fkaFTGEBEkGpYiFEmEWqlWOI74rbxOqDUE2Agk PaMFQWgdzK/3JkKN0VxlWFmGeA9jWDFCmVW02fLzaQvVGFRJYfxo9LrP/b1Jlo6jLhPfxQSd XrlwnSaPholhudrxO3RG1gFxwzKZ7Z10HsCXFQX2UH3IZ/of4565TUVqGwpBhc4DMp9UutgK /wfU3874YycEAA== --xzyzecjmepsobhuc--