From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 89C44C432BE for ; Wed, 25 Aug 2021 11:53:25 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 668B260C3E for ; Wed, 25 Aug 2021 11:53:25 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S240420AbhHYLyJ (ORCPT ); Wed, 25 Aug 2021 07:54:09 -0400 Received: from mga18.intel.com ([134.134.136.126]:12875 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S240462AbhHYLyJ (ORCPT ); Wed, 25 Aug 2021 07:54:09 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10086"; a="204639990" X-IronPort-AV: E=Sophos;i="5.84,350,1620716400"; d="gz'50?scan'50,208,50";a="204639990" Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Aug 2021 04:53:23 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,350,1620716400"; d="gz'50?scan'50,208,50";a="684495227" Received: from lkp-server01.sh.intel.com (HELO 4fbc2b3ce5aa) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 25 Aug 2021 04:53:19 -0700 Received: from kbuild by 4fbc2b3ce5aa with local (Exim 4.92) (envelope-from ) id 1mIrT4-000078-Q2; Wed, 25 Aug 2021 11:53:18 +0000 Date: Wed, 25 Aug 2021 19:52:44 +0800 From: kernel test robot To: Billy Tsai , jic23@kernel.org, lars@metafoo.de, pmeerw@pmeerw.net, robh+dt@kernel.org, joel@jms.id.au, andrew@aj.id.au, p.zabel@pengutronix.de, lgirdwood@gmail.com, broonie@kernel.org, linux-iio@vger.kernel.org Cc: kbuild-all@lists.01.org Subject: Re: [RESEND v4 08/15] iio: adc: aspeed: Use model_data to set clk scaler. Message-ID: <202108251932.q9vYzEYY-lkp@intel.com> References: <202108250004.17P04ZJi095039@twspam01.aspeedtech.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="82I3+IH0IqGh5yIs" Content-Disposition: inline In-Reply-To: <202108250004.17P04ZJi095039@twspam01.aspeedtech.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-iio@vger.kernel.org --82I3+IH0IqGh5yIs Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Billy, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on iio/togreg] [also build test WARNING on v5.14-rc7 next-20210824] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Billy-Tsai/Add-support-for-ast2600-ADC/20210825-082858 base: https://git.kernel.org/pub/scm/linux/kernel/git/jic23/iio.git togreg config: alpha-randconfig-r026-20210825 (attached as .config) compiler: alpha-linux-gcc (GCC) 11.2.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/78a7c95363794cdf2453244b7e64b432d29d17f3 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Billy-Tsai/Add-support-for-ast2600-ADC/20210825-082858 git checkout 78a7c95363794cdf2453244b7e64b432d29d17f3 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross ARCH=alpha If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/iio/adc/aspeed_adc.c: In function 'aspeed_adc_probe': >> drivers/iio/adc/aspeed_adc.c:225:9: warning: argument 3 null where non-null expected [-Wnonnull] 225 | snprintf(clk_parent_name, 32, of_clk_get_parent_name(pdev->dev.of_node, 0)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from include/linux/clk.h:13, from drivers/iio/adc/aspeed_adc.c:9: include/linux/kernel.h:204:5: note: in a call to function 'snprintf' declared 'nonnull' 204 | int snprintf(char *buf, size_t size, const char *fmt, ...); | ^~~~~~~~ vim +225 drivers/iio/adc/aspeed_adc.c 200 201 static int aspeed_adc_probe(struct platform_device *pdev) 202 { 203 struct iio_dev *indio_dev; 204 struct aspeed_adc_data *data; 205 int ret; 206 u32 adc_engine_control_reg_val; 207 unsigned long scaler_flags = 0; 208 char clk_name[32], clk_parent_name[32]; 209 210 indio_dev = devm_iio_device_alloc(&pdev->dev, sizeof(*data)); 211 if (!indio_dev) 212 return -ENOMEM; 213 214 data = iio_priv(indio_dev); 215 data->dev = &pdev->dev; 216 data->model_data = of_device_get_match_data(&pdev->dev); 217 platform_set_drvdata(pdev, indio_dev); 218 219 data->base = devm_platform_ioremap_resource(pdev, 0); 220 if (IS_ERR(data->base)) 221 return PTR_ERR(data->base); 222 223 /* Register ADC clock prescaler with source specified by device tree. */ 224 spin_lock_init(&data->clk_lock); > 225 snprintf(clk_parent_name, 32, of_clk_get_parent_name(pdev->dev.of_node, 0)); 226 if (data->model_data->need_prescaler) { 227 snprintf(clk_name, 32, "%s-prescaler", 228 data->model_data->model_name); 229 data->clk_prescaler = clk_hw_register_divider( 230 &pdev->dev, clk_name, clk_parent_name, 0, 231 data->base + ASPEED_REG_CLOCK_CONTROL, 17, 15, 0, 232 &data->clk_lock); 233 if (IS_ERR(data->clk_prescaler)) 234 return PTR_ERR(data->clk_prescaler); 235 snprintf(clk_parent_name, 32, clk_name); 236 scaler_flags = CLK_SET_RATE_PARENT; 237 } 238 /* 239 * Register ADC clock scaler downstream from the prescaler. Allow rate 240 * setting to adjust the prescaler as well. 241 */ 242 snprintf(clk_name, 32, "%s-scaler", data->model_data->model_name); 243 data->clk_scaler = clk_hw_register_divider( 244 &pdev->dev, clk_name, clk_parent_name, scaler_flags, 245 data->base + ASPEED_REG_CLOCK_CONTROL, 0, 246 data->model_data->scaler_bit_width, 0, &data->clk_lock); 247 if (IS_ERR(data->clk_scaler)) { 248 ret = PTR_ERR(data->clk_scaler); 249 goto scaler_error; 250 } 251 252 data->rst = devm_reset_control_get_exclusive(&pdev->dev, NULL); 253 if (IS_ERR(data->rst)) { 254 dev_err(&pdev->dev, 255 "invalid or missing reset controller device tree entry"); 256 ret = PTR_ERR(data->rst); 257 goto reset_error; 258 } 259 reset_control_deassert(data->rst); 260 261 ret = aspeed_adc_vref_config(indio_dev); 262 if (ret) 263 goto vref_config_error; 264 265 if (data->model_data->wait_init_sequence) { 266 /* Enable engine in normal mode. */ 267 writel(FIELD_PREP(ASPEED_ADC_OP_MODE, 268 ASPEED_ADC_OP_MODE_NORMAL) | 269 ASPEED_ADC_ENGINE_ENABLE, 270 data->base + ASPEED_REG_ENGINE_CONTROL); 271 272 /* Wait for initial sequence complete. */ 273 ret = readl_poll_timeout(data->base + ASPEED_REG_ENGINE_CONTROL, 274 adc_engine_control_reg_val, 275 adc_engine_control_reg_val & 276 ASPEED_ADC_CTRL_INIT_RDY, 277 ASPEED_ADC_INIT_POLLING_TIME, 278 ASPEED_ADC_INIT_TIMEOUT); 279 if (ret) 280 goto poll_timeout_error; 281 } 282 283 /* Start all channels in normal mode. */ 284 ret = clk_prepare_enable(data->clk_scaler->clk); 285 if (ret) 286 goto clk_enable_error; 287 288 adc_engine_control_reg_val = 289 ASPEED_ADC_CTRL_CHANNEL | 290 FIELD_PREP(ASPEED_ADC_OP_MODE, ASPEED_ADC_OP_MODE_NORMAL) | 291 ASPEED_ADC_ENGINE_ENABLE; 292 writel(adc_engine_control_reg_val, 293 data->base + ASPEED_REG_ENGINE_CONTROL); 294 295 indio_dev->name = data->model_data->model_name; 296 indio_dev->info = &aspeed_adc_iio_info; 297 indio_dev->modes = INDIO_DIRECT_MODE; 298 indio_dev->channels = aspeed_adc_iio_channels; 299 indio_dev->num_channels = data->model_data->num_channels; 300 301 ret = iio_device_register(indio_dev); 302 if (ret) 303 goto iio_register_error; 304 305 return 0; 306 307 iio_register_error: 308 writel(FIELD_PREP(ASPEED_ADC_OP_MODE, ASPEED_ADC_OP_MODE_PWR_DOWN), 309 data->base + ASPEED_REG_ENGINE_CONTROL); 310 clk_disable_unprepare(data->clk_scaler->clk); 311 clk_enable_error: 312 poll_timeout_error: 313 vref_config_error: 314 reset_control_assert(data->rst); 315 reset_error: 316 clk_hw_unregister_divider(data->clk_scaler); 317 scaler_error: 318 if (data->model_data->need_prescaler) 319 clk_hw_unregister_divider(data->clk_prescaler); 320 return ret; 321 } 322 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --82I3+IH0IqGh5yIs Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLAnJmEAAy5jb25maWcAnDxbc9u20u/9FZp05kz7kEaSL3HmGz+AICjiiCQYAtTFLxzF VhJNbdkj2W3z779dgBQBElQ658xpG+0ugMXuYm8A8+svv47I2+vz0+Z1d795fPwx+rbdbw+b 1+3D6Ovucft/o1CMMqFGLOTqDyBOdvu3fz5sHl++b0ZXf0wu/xi/P9xfjebbw377OKLP+6+7 b28wfve8/+XXX6jIIj6rKK0WrJBcZJViK3X7To9//4hzvf92fz/6bUbp76PJ5I/pH+N31igu K8Dc/mhAs3am28lkPB2PT8QJyWYn3AlMpJ4jK9s5ANSQTS8+tjMkIZIGUdiSAshPaiHGFrsx zE1kWs2EEu0sFoJnCc9YD5WJKi9ExBNWRVlFlCpaEl58rpaimAMEBPrraKb18zg6bl/fXloR B4WYs6wCCcs0t0ZnXFUsW1SkALZ5ytXtxfS0ukhzXFMxqaxNC0qSZnfvTtoISg67liRRFjBk ESkTpZfxgGMhVUZSdvvut/3zfvv7O+C/JpFrueA5He2Oo/3zK+6mGbwkisbV55KVKKjTAFoI KauUpaJYo4gIje3BJ7pSsoQHnnljsmAgBpiblGDMwADsM2nECmIeHd++HH8cX7dPrVhnLGMF p1oLoKLA0p2NkrFY+jE05rmrzFCkhGc+WBVzViCHaxcbEamY4C0a9pKFCaiov2YqOY4ZRLTL nyRmsxuyoJxF0pXsdv8wev7aEVF3fgp2M2cLlilpT654yqp5iWaIZmZPrOWudk/bw9EnesXp HOyZgWwt64zvqhzWEyGn9jJwggDDQSheo9Bon03wWVwVTGo2C8N4vdseY5rdII8cXk8rAKKq TcorPHdgs35eMJbmCvjTXsFMmJcf1Ob45+gVOBhtYPjxdfN6HG3u75/f9q+7/beOjGBARSgV ZaZ4NmtFFcgQbZYyODeAV8OYanFhCzOX3LuHf8GZdV6BKy5FQhT4kZ7aC1qOpE/n2boCXMsq /KjYClRusS8dCj2mAyJyLvXQ2jo9qB6oDJkPrgpCzyPAgEhYpYFtPe7+WqnwufmDxxb5PIZ5 0AqfWleMfhcMK+aRup18bM2GZ2oOzjhiXZoLI195/3378Pa4PYy+bjevb4ftUYNr7jzYTkSC +SfTGytQzQpR5pa/ycmMVdrmmBWswD3TWednNYf/dGeqJI2ZFWkjwovKxbSWFEFYBoe35KHy +/xC2WM9sq0XzXkoe5wUYUqc5Qw4gqN5xwrvejVJyBac+h1OTQGHAM/XMEcpl7THkXbCjneD GCpzMDfpXyxmdJ4L0Bn6MiUK5llQiwZCnxJ6EXt68Fsg4pCBN6JEuQJsZcwSsvbMGyRzFIRO AQpLo/o3SWFiKcqCMis9KMJqdscdFgAUAGjqWQBQyZ2rIgCt7vxcIrEYRl0Ooe6k8hlOIISq zJ+drE3kEDH4HeRrosCABP9JSUbdjKVDJuEPPsVA1FCJFeEwT8mpzOcwM7hPnLrFdn1hCnkW h5zHOoRyxlQKLqpqUxxH0T1wZNIJ63ALyVdtTHS8jr1DMFPPhvq8twOIBFmUboxsuCihNrCY wp9wYu3hLBfeoZLPMpLYmbvm3QbozMQGyNhxS4QLeyUuqhK269seCRccdlFL0Ul2YMaAFAV3 3UaNnCP1OnUGNLCKePd1Qmu54QlUfOHYGGpe59qRz3rn1K4FgDkWhrbXNaYGM1SnxO2kw8n4 sslI6uIu3x6+Ph+eNvv77Yj9td1D5CcQTyjGfkiV7GzImtObSfzLGdsJF6mZrgk5A44QChqi oBaa+4wkIYHj9ZIy8M4iE+GrH3A8aLiAuFfXN+5sgMWYkXAJbhgOlEiHJjmRxaQIIUFxop2M yyiCokwHWNA/VGPg0f1+Q7G0CokiWIzyiFOda9kHFmtKkxOeRO/WjyejTvKYtCOvLwNuO5nU yn5OCT+BOquAeAHigNDgKX8kqUxsbfiZKRLA1hJQJRyci9PiWI/p0qyxOKnzpm6Nq5mEf1NR 2BIz4FXiVaZBghufT87gyYJA8lwNlJSGhpIA6o6EqTM0YT699ocYg2fB5Cf468v8PBtAcv0T dH4Oz2cDSY3BJ6vzHCbrbHUGnZICdHuOgIO9nsXPiTxHkEEKw5PS7wBqEoEJ03kxZqLgisz9 2ZshAR94VhT5dH4GW5BlzMNz8xdw0DnJzlH8RBnyZ3g8bufw4IDO7QEERIpzylAgw3MbWPIk jLg3HwXvYCWLxlVURMd712AXV10Q5cRDdd33QPESzD1WXeLPzPZnuiWUknWTeFVR6LQWNB6y 70IyiO8Vy7pCdXcM5ai1IDjmQEDsTnWOPgSvsJ3ZrhjfVRdTr1QBM6BwwEDB5mtx3FVTLRuH dDw9M8147J3nFuax4lSBslh4w7vjvp2u5eZw/333ur3HovP9w/YFBkDYHz2/YMP42Lp6yVQV yU6moqMSyBmyPSxlKPYv+kqXaa4bQZWKsTDvKPpiinOUUkGeEGHvQISssww2alMR1i1Q6YTB akZUzApsKEGMn7HO7Hp8lnJTmkP2taLxrEOzhFBTcbAzbVKnPnLbf1Wi6QfZXC04VLluqwe3 3KECvhuDZRRTAot7EZYJk5gyViyJdDrpnsCglO4JFGGItTWk14S6qYXAXjCfyRLWydxq3eRg Rs6YhvuOCnKom966/WVVVrA/gDNwjJRjuhfZRoAdRjsNlKeeOBWL9182x+3D6E+TWb4cnr/u Hk2vrG10Alk1Z0XWjVBNanRumm7+9BNLPlWvCko0qGSYtQ+dzcsUa7CJqx2UaaVrSdVTnFNo GGqgpNgBIr7kv6YpM8R3Z6uHnpD2zI3hex1Ew2dBmxsdf+nS7sfDd73Lgd6JRdTrpvZJIIb5 MzuXZuo6PD+N6ydd5MWN32O6VFcTXwvDoomJjG/fHb9vYLF3vVnw8BTYlUUHMDzRiazbRuni B7okXbJu86NLiGXIEntVEr3OqRtV8TQXhVvitQP1dQk4OQX7/XD8stt/eHp+gAP1ZWvtO8Az 7fMQMpvYvSS8NgOfxjNtsuAGnDuOGq/7sAZ/Ducdu4R0kA0NtpH1aO1X2D/b+7fXzZfHrb4s Heli9tUKYwHPolShu7XK8CSCAsZy7zWRpAW3faGJRaJUPUoXKGR0WXtdp9ViaLHBOFArFyws 09zrCYc2pnedbp+eDz9G6Wa/+bZ98obvKCHKaa/IPIFwkCstQfDy8vayEzJo956gKRqxDi4Y Gppzu5HHa4hWYVhUqluu6lAJURTimRu8M6EgJtq9srm0mGyuLdOUYGc209PfXo4/XTcUGYPE I4f4j4Fq7rS2aMJIRgnkc35xp8SzubtciOT2qSW7C0qfL7+7iCDithcDdzp6CCdPbWAV5jZe HnRWpOWJdxdzf3vrDjxPp2xnBW4Xp3WC0KzMe3d6JwsaNhKrrc3694Hh9q/d/XYUHnZ/mZ6S fRqYUzTUv9ruIOYwOeX6D56daTzaRkmSqhBC9QZrzzZ0dQwzW91JHT4dUPdHfdMqXWCv+QpA bdzGWNsOGoCJt4+oMTJPe9QAa0zYq/4TUS6WELthT/+CrJJl3ifukfo74IiHQ+9rhKEsUtmR 2PAdNWI/l7yY+9Sjhd29M0EgOH19IkzNpi8/BoZLVQb2OUQY3uiq0tcKRCxRHc1yseiunxd8 YHROJA97osIEXJVw/kQUDepGU/1Mz5oIi5ABrWn8Oa0ZPCum+C9/qShUnpSavHeKEXb/vH89 PD/iLeND9zTrJVbYm1xV2dI9DeBTZgVxD0hVUFLo5yQ+OMs7UDNzb0/1gjQfMkhMaYnizlUI DiSJYj2WDFAb8ZODSFnIiWJzLM8umlQh3B533/bLzWGrhUOf4Q/y7eXl+fDaEUu47CwULn07 ByjLe1sEKN676AHDxtFQMX+nUPvQ1ToTQ4eNp6vr3tJQCZJicrFaDQyas7VUTl1rQ/tbbFE9 /RIw2pBUN/MeXEHZe+2HNiu4XDdIVxQ2Rcwl+oeg46qYdFrtSKkNd/LpsrdIg+ipxUvU225U frwc2z38c8ZkUrTnL3Dido+I3p4ztlQEfMF4Jx6dwD7DS8gajgklOUMDv7T5OrOsqcM3UCPf bw269Q/4yqZhrn1s8lPahnLA2ZwcEds/vDzv9u7WISaE+srcVWsDre98o46PZxAT9Gu5TqhA eKYCbybksHBi6vj37vX++8+cZCWX8H+uaKwYtSV9fopTO2WVuEkwAtzXGAaA3WpMwyEWhM6W wb12wlRKub8jjKSB25evd/v+fnN4GH057B6+ba39rVmmiC1JDaiEv/VpkAWnIvacIINVzm1x DRMy5oEvHzR7OT3ra18DkJyHXPQ2ojs/u/s6Nx2JbtFTmtZUzJLcLjEccF0PWxVwyBYqzbtP 7pqySYFCSOJvBkDtrmeOeJEuScHME80m4ES7w9Pf6CEen+EkHazabKk7RjaLJ5CuDkJ8T2Sl 2SuoFk6LWM842lF4C93u+8S9l6CKICcLiLfqbwc0rQnb5rs7akbphio+QWlKWvdyEFsXNtYr aJ0+VmEBXs+f7dQEbFEMPMIxBOgc6mkg+0zFUI6dVp+FHHgXeaLSkxG5zmgzpbZVj+AatP3U 0nNjC1XcokzgBwkgFVLcbkpKyJMdX1GwGdTB3d8Vn9IeTNpN4xqWplz0B9udF7zwwRsoY3CR azuIjBhkpuadnb9f6z+Q5qHm23H0oGtJ52ECZA74tg1DrRJFlfgywUBNKpI7bwU0aMW9WvoM tlqxgHsbfzHXQrWcXA0y9jI8RHv/5vXiU7tne19WKZ5JbxdOWT0D+KHtArkxjnlzeN2hyEYv m8PRCT1IS4qPeEWhpDtFQNNrSPJqlN17BCRNQ90w00g/Q+bao4AcElyNIjNHNi1aFb48EgnQ ZHKZ+HgDU9IPts6gQl4wqvANuW493r6fuMs7U1RlVr/A8L4q7NNjl1FkydoJ1T0xa+mX8EdI mPAZpnn1og6b/fFRfzkxSjY/evoQIpceYSmOjTM4Qym+Ei96Uasg6YdCpB+ix80RkoXvu5d+ pqFVF3FXYv9lIaMmODpwMMqqAbvKjzg+jtKP3jrXBxYVuoGAZPNKP+esrC6vBzs9i710sbg+ n3hgUw8MfECCn6I8dTEkDWX32CAcQjHpQ/EtQsfQSNoBiLQrKRJICNxen3ZGXSaz37y87Pbf GiB2Zg3V5h5cQlenEEVhlyi3nGcz6coBO6jo4Z88wLah7MGBKAp1O/7nZqz/5yNJmPVljI1A 9Wnt3U596FnOhWm7djyLpFfTMQ19VRqiM6Y0Rcfdyaur8bh3aKivK4MYbRXVAq93i45YoFw2 mm2LnZ9owjxk2j5+fY8Z+ma33z6MYKrae/sPYZ7Sq6tJj2ENxdeWER/yijVN0wazMPhALErw 2unJC65vN/QTsvXA0EqovHMUaZxPL+Z4ZfbUhV/eJNeXHVXo7kAlU97dnJRqejVwy4foBMQ+ tOe4d9jgny4MfkMRoEiiH+A67fwaC/kQXsgidjK9qfs1u+Of78X+PUWNDjWltYwEnV20CwY0 xtoRErf0dnLZhyp98dG8k/ipdWheMigC3EURohNad/cQBxDjBdYKNtrunq6Gpk44BuTdUEmS yjLrRe4GDbYyqM6GZrrCGDIb1i0WpPVeTBjb/P0B4ucG6txHLZDRV+Mh286AR0QhrJZ04pqF 0D37PhK2h28aFfHgBHip6QAc1eyeEgdV12f9sXVG05WnUbK/h9vyqlKWeOY0D/F8GJnQKsnp xXS18o1zsH1+goKmWvxneIIU8fLjapV5vI4RyCoj0gOf5Smv+gascRFkfDyiXp4W0fVkXGWR /6LTEnMVJVQN+xpjGWTBs8EIoUnUavUpC6PUzw0cjdXZ4dhQvBpfejaJpYRPJ2rug650ZdBj TnfPPWpX6cW0AqZ91mu6mT6NQBHXB5+e9vdRFMp3vE/wSYaAnyW+O94ThQnAySxtjn26O967 51qmulHlZRf/JbmPLd038vkBLuci0x9p+jhu0SblxfwWr0vOmr9nUKh7GeNzpEGgvK4Zauuq e+DM4wNKIY58g8hhtU+7CzBKuxM2cOwtxgTKdO81cJfSuLb2gYBn8Qanw5VmMclh56P/mP9O RzlNR0/mXtib/WgyV0mfeRYJq9yol/j5xB4hel/RI7YMOlEAANUy0Q8IZYwX752kQRMELKi/ qJ6O3dUQi9/sgt8fXrGaJSXrLhyvc1aYhkENjYOUQkC6vrq0DVREnonNQ1Z88Hp6ygr1Id4t Ox1cA/L1EzP3Pimrv0RD7yChWPe0dg/Pr8/3z49Oi4VLAkN7tNkiZdYlRGstNvx05q3eTT0t VExSFBJELi+SxXhqP+wMr6ZXqyrM3St9C4xdK5/ELArpfmoUlmm6xn6VT1AxyZSwuuiKR2nl PurRIAiC9ismKj9dTOXleNKqV4dvyIGtnhq4z0TIsoCMlBX4gaFtDXnFE2Fbgu4+UQEhi3nf 4Wk8GmORW9GC5KH8dDOeksSanMtk+mk8dj4FNrCp70FwoxAFJFBmWZ3EGhHEk48frTKggevF P42t7CNO6fXF1dTeVygn1ze+lloORp7HpXUdB8FIgZjAU+UXvW/1JJYDbctxWa30BzN4k9W9 rT/d/Qw2ZOsLZBlGzJsjc0mrQklrZ3Sqz18dzRgDT5Y6t12N0jUGzMH7TLHFXjlvVgw4YTNC 116Ga4qUrK5vPl6dI/l0QVf+70pOBKvV5fUwc1DTVzef4pxJ6yO+GsfYZDy+tB14RxIncQUf IZNzCxsD6xS2FrAiUpap6Tk1lx9q+8/mOOL74+vh7Ul/V3b8vjlAifWKTTZccvSIsesBXM3u Bf9ou6T/YbR1ZWP5KXQqZ06OJjH9dOu+Qr8qkIrkvuMMBdrysyUc8/uUkEEpWwi8eaACyr31 rRWYGI19j18gV68W1j26tmH9iZX7oOlk227NFJOAZKQiFiV+8WxxmC9ykrl/WUMN6jZi2s6K HQBMG4VK3pTGvWQHkfjg1M5PfAMa+qh0H9yb33hI8NNZ3QJwMYmYzczbQ/NXhTDGRpOLT5ej 36LdYbuEf373nWn88GXp//ilQUFSItf2uTg7t1l9//L2OigLnuX221D9ExyEfalrYFGE975J c8Xm4MzHLnN/+mJIUqIKvpqb9uGpn/2IfyfEDr/d/Lpxgnc9SJSShWxh+3kXU+WSlL4WV4dM 0oKxrFrd4ocs52nWtx+vb1yS/4q14cKBsgUCf3SB6HaebNH3mkGdvczZOhCk8JUIFodOVo4A 2Lr/6TjiIBPgJOmPoWuS+2/jDZ4lJBvIfQwBcNTJDw2cKD7wQaXBw5HgQXqGIKeTyTgnQ8/K kWQhV6sV8d3MG3yn+DSCWGcEXD2V2m/27Ag0K/HvRBmUvf4A1Tog5nct32pJIFu67B8IJUoa G3sa1qrzNzkY2M1Nnt6MV5X4f8a+rDlyG1n3r+jpxMzDnOFO1sM8oEhWFS2CpAhWieoXhqZb tjvcW3S3z7X//UUCXLAkKDnCLSm/JPYlAeTS8EFhjjdSpH404tS5dhgCcqqJ9BUXIrtHfnIY BnVlm+EhDxJnKYQAmvNGhTqa6JESP/bsdi7D0ZtkbrimseCSjgCcLcbbhg+A6SasiNUL9wWu csHAK4YUnC/XaZrE3lotc0kR+CHkWxQMmJ2VbMwOQYy3jgAP6ZyGheZ+mGah0vImAyVZhLWf eOY4ciEI1fBVeAq+kxf6y7iCiqZzJpB3vFu1wpkr1Tj8cnB+3pfnay1eyefa/23iw9VddTJ2 AR9zXXlvIsNjHXmh5x6vC4OonV3zq/jhHlWkpoS5C9blp9hLQt5r9IpgWZxGFvmRzp1lFhUQ WczPSOf17UD6JzjQtYX9bUHSIPPmxmV27xTk4MWBHJfO2gJTEuKD95FmoQ/T3loQirEOo9FB 1jU8dEhT9JBQ9cCC5ID0EweSINkZnpSEnodMjhlw7Ftz4kXJdz64zOa/HUmPNF9/E6ve3L7u FgS+JF77wewlAacuWCiHCkV5dBFieZAuSxxSgp5WkXFvIEi6jg1QtFVfUujR4DmJo7tBEVtb a9CDYj6DmPy+b1ECkxJ6FiWyKLq7HkGLtfOnkJsuz98/CI2u6t/tHQiy2n2PVm7kcsvgEH9O VeZFyg23JPKDBpeuTNa6OgJV6TRJ78kjemgDbD6eIalxEpU+QfQP+hzjbmteAdIx3Q+TgNi1 iSqHNCg5xOKiJXo12uJMaDkLdgZlalgcZ8oBcqHX2gXjSi7p1fd03xkmy4nLOL56+MK6dT3g YMcXKUTzM/bz+5+gxmrrbQ0DtgbOYhtI+5rqWgUPSbOPRGVVBKrQe4crIG3BEog4kwqVSmyx ABbp8Eu8UvQnop5yBaxaAkgCq04GSXi3LNqzWSxYQtqTyX3PBd0jVS/uWAcmaEAXDBrYdDmF 5cZA9WrOSU65cNrFKbgAp7KKwYVdn8rCHIctN71Rj1aLYcZVj7O7nK3/VpL041S1Umd5Mz1Z 8SOJQmxwbhzV2EX6W6aC0XHqmzO2zWxM4uEMK5vxaLYBOblVV0eB6YA73Ng4bMsLhAm6erfU Y9VdSlUuKYZaueYhXVdXeasVkvcVb2dMu7S86YvJkPP/O0cNB9S8RnxSMeNub6HK7W2b7Rt5 yvvYQxtjYeKbpcWEsMiH8r8xqOKUpmw1gzMVb663dkCNU4HLeIEH0pqgUafbALZyfTtii9la 6SEM33VBhJVmwRyykcWmyWtjVddPoFqa10R1nLHQEc71mnwxyrDWaGWXn7u/v7JB+M2TqtzW pg9Ft++tNJmTt7m4QoHHP21Jga4WimnYCg2g8KilXu1wIr2Oy9Ud/fPTz4/fPr38xWsA5RDa PVhh+L59lPssT7KuS83Vx5yovKBAqJChWYKpHvIo9BKbn5/SDnHkm/XcoL8clRUcVZMPfW2n yk9vNpHWY94JFZTtrnWvRdTvZ+19sKHUE+aCqLb3QuPV51azyF6I/ICFEcl6tcpLsEoPoOq8 9c1sS3LHs+P037/++LlrPCMTr/w4jM0cOTEJEeJoEmmRxolFy3zf17v3Uo3xpQh0zirzDLaK iQsWrZe7qhpxvxJi4RFmxrg9jMBvVVERPuKujiHCKi7tHWK9HJyYqEL8TDsko067VcQsLifx 5Quf0tLnz39BP33WiPzHZ95Ln/6+e/n835cPH14+3P175vrX1y//AlXJf2q3p9C8QqJw1pcM B2yzF9A4ql6hxBKS0yALY7MO8OJRgfdjR0qA37eNmVifUzACNBLLYZWEdcBZZrc+kUBL8F0p rHf0c6ABsprc3KjtJtRkUJ9yBFad+fZfa7dunFyeA8+YtiUtb4G5OO3WGJxq13wzwO+2BAOr zBQrivpEFghfPDtrg6jaLhxHM5lf3kVphokCAN6XtFMV8MSyONtx6mvvkMSoHasE0yQwpja9 JVzIHM3RQUdcjhNzVwrrjkxaGA3MTK91PMkA9GhsAnxVRV2wCozywexKqWuM3asbiZXASOSQ dKQhtRJyq5f7Cr+JhRUozIPIN5elizBFrUuzJVhFhxLX9xNwh7+/ADSYhRIC/gl7d9/Q1CjX tUn4oS14tGrInpqHKz/ouMa+UM+bjp0WpIHTrw0X2DXXJCp1MrZNxFAdyI90MBtquFxhJrrG mW0pL6i1q/hj3R3sWQdW+LZ+2l9cTvzy/Al2h3/LXfv5w/O3n9puLTjbn79L6WNmU/YQfUMv 6/J+aI022oQaY/SDexD1adUlW+i9LfxAqJR55dV7uRbuSKQSg2PcCBZQJQGLPD1NqbcwL/j6 biE1GrhU5NwwgGFxFqJUzapNqGv+VfwsxWnTBd2LtIMCHLsMfQsgSQMjgyYO5vKNvqvu6PMP 6N98E8wsnXn4yvSnsNGMXVAA/UFeVm/3ZEAdLukBnf/yG+EgAGK24JUVosR0ZUR//BTIWImf XOavULtbADfZwiaSq1Xa2WjOnZgwqbsw7Zp3hqYHm1oNR9IY3bNo3urEumOp749m5y6SgVnQ 4hEsLx3lBLcRuVEUTtMtPWficfCRtMGOsqh6YxvTuMru4G4p0ALnNTLbA8h81S2sUSyu5++v TVearSW9Opz4UhqqevBCUXTsplNdjoZGIECm3KNAXIDhP09Gybjwoudbd1kW+VM/aDdzSyUK Q2FIYxCiCvyW4xufxnPC9lnBIWQbYxZLkcaoLB3uHUqzopW4/DJ1SBvV4Er5AXQanaVscxG1 w5GyMLGIRmsSDZWYCjtfTb7n3etVa/tKv4cBIm9Ch4PVFZ3Yg7snuPgTjLgbZID52eIedLrd DO5qPFw7vQJcLkqMC0xBzv2Mn+M89JUA8At4pmlP+nBkFyPxC190zEnDqhN4mdc/7NTYDgtl IoX5rbgs1T8dYCxEVgXgmcPZQkLAclVtEbHMJMEiwpmiELwC3xMLxT6X7+NH8i0Zjy8dYNzi KOHKxIWre7OUOxKZgNsur6vTCRRdzU9HsHxwfDdLcuYXtXsUjkPZMMJ/nLqza8l/x9tabkB/ m2TaTWd7ayK00AQC5XrJVtyDPtsu54B/0SifJQntDUiOuqoob47C1m3bgWeJxUWL2qp1mQSj Zw1C8wyjoBQbfxf1jYf/od1TyjdNVhlGaRv500fQJlWc2rFKXFkq2pId0/5AYsEMHQCWuA20 OQNMGRHS4uMK/IXci0cVTLV645l1r9aU56iAX7/bV3JDx/P9+v4PEyi/CP+R3eUJ4rGBZmBT DhDJDox9xcMOGwgFu+S7n195MV7u+DGAHxE+CGN5fm4Qqf74X1Uz185sLbt5EcoJcmwpDPw3 5UV09ophAVLE3hLc2lCSYIxjrTejQiUj0DMGOs27IGRept91W6g210wUKw0b/dhDnW7NDPL8 bhODWBF8VHo6IiVg1GauO8IYXM4sg7/nw+TH84+7bx+/vP/5/RPi02j+sueNzwiz8+E7UndC 2kfSjSt3BTxdGxcK3y23WAjUZyRND4d4D412P/V20PSA9dn2MXY+sblibz+VGHeBbJcG8xBv Jxfu5/bGzA5J/Kbcklcql2B3vjbbbvdme310SHdRsodGO2BIot2aRembej+K91PBJVmbL3xT Zq8UOX9bkUt/Pxnypj6Njs5k2CUNvNdqBEyJs0ICxe8QDLYUNYCymBwjELBwrxRpnL4h+cw5 DASKmeYYTCFxzjRR/jc0Zxo4lkJ2GUP1Ssq1E8wepD98fB5e/nDvEyXYYdE52tjqUtjxlbVX wbszsbernEVpHSILvQCwZVwCSr/CDsPFGYsgTOzAt9tsEhr7gclR9Q96MFgpZ+h7lnhyFmHa DFquGSespOnmG1Qr4qWggjZ06G3v4NJY9vPzt28vH+7ErcYH255BOmMxL9q0IljXS1Jr+dHw n6WWbH2VQGee4ITLGTdatdjThazmMUtYahaHls07P0g1/TZB74SCuTOxMbc/GTFNUqmQp4pZ Uv83J71BWg5/Bvk2ZnFsNdgILTYxPEqZ7BxaTKccO4bKliqGMIjCUXvwd3f9+pYrqC9/feNC uzYrZ+88XRxnqgrhNsA8bNgFo8Er1BrC0arvTHdY3W4sqZmN1Ns2G3XoqjzIfM/IfWDRwdPc qSJVlrPkVNhNYXRAX71rG+z0LFX8C15anz7ejDJI3W6jvL+Q5t00DLXBO79amo1Vd+EB3dJn NEtDax4s66IxpoWlRIBrWSkcDj0s2QNC696NszrI4JXGVV5+HDyWfUHUF625ExnPOEvMTgRy lthjSAAHH9uvVTywWmF4oCO6iUpU2iQYhZMa9ghxtvlYppw9jlY/sPtTbdY20TM4DtloTila j8eT2d1AC6wWojVfQZ1LRjf7edBp1QQeUScftxBemErJ5QgtJZfEIg8D37g6VXzaYs0E90Kv TEM+QEP/YKZrr0/4yUUy5GGYZXtDvGItw65N5FrdEz/yNBEIKbco+O3j959/Pn8yt12t48/n vjyTQQ90KMvZ5vdXPGoHmvCS7qO/bP7+v/7fx/kJdLtlW7nmZz5h4dkqw2xDChZEmTaulK9G 7N1B/dZ/pFiiurHfRmfnSm1TpOxqndin5/970aszv8Neyl7PV9KZ5g15JUMVvdgFZEbdVUi4 gHS4t9VY/VBdgvRUsGVI4whCpC4cyLzYWbYQH9s6D3Ys0zlCdwbhlPf4BbzOh11CqByxN+LV S9VjvA74OJCVXuRC/FRdpPURtB4ERAyMvmSq0ahCXIwr1b5UYVAbuzcEBCcjG9BgEwpXm5d1 O+yVRygUbuYEf+O50SEJ9eMeygbRxEnvCCSg8C2e+l8pfb/q8iCgNJUyMXbtuvrJrKqkmjoK GnZ5pJp//oJIXFtP5wMJKfLpSAa+3OBeNBYTUZEANnaloR3M+qviTnMmy2w1auyZVOHq2aDB y8AZVG65wO0lisbZXNaJ5EN2iGJiI8L0EyE/Bp6vLGsLHWZQ4uH0zEXXrmY0BL+QWliqhre7 46Fu4WFH7Ji1NAhH1flGSUNmMvLRkuTxAcbXiBV6hkyleiffpcDOJ2sTcNk+9OzGN2X+pTac bthYK1/4qF3DOjKEkS0yMBb6muRijusYwQBn2XS6lvV0JtdzaafJJ4GfehFSsRkJsKYVmCHw GSyLuS8/neT24F/Mde1s+zH2bf5l5K8lWQAxidEbw4VjkfGRj+E4FWCXdCqDeiZe6LpYs5VF jFi1wdaEhjBx3OZvLHnkJwHmHkaprDiwYVlLs3h7HPLRHfnxiBVKQAdcflB5Av0iE+VJQ9wP kcIT82LsVA44MvW2TgXgpt+qNADJiFaN0WMYYT27DDMxHaDNg0Pk20vhuYUIx+yCzd9+iL0Q 32WX7PuBL+DYM8laPr4thso436aotWOutS0Oh0OsWLEbe6H4c7pVhUma1RLlJaV02vb8k58i sLvB1ZlXwYuH6c4qDJGvFEaja5L0hlDfC/A5oPNgDadzKOYbOnDQ7X4VCJWBVQ4/TdFUD0GE eEEjxZCOvgMIfcw/Ggci1xeRanyiAUng+CL18LoChM/FlecyoDcpK87CFCsny2cVeTvFEVwj NuCmjR8vcQ8zWzKmMYjJMIwd0hqgZNjdBmxozdBEatJTR8iVmTXn/5AKNpQeN3UwGTuGWeEs XAVLAqSpwM1dgNRhdv5Aitz+porvJ0KP9kfgt2mM7Q9Oqc8Phif7AwCy4HTGeuqUxmEaYxLV wrG4P0ELea5jP1N1BhQg8BjFeufMhVD8pKRw4GbxEr5Ul8QPkWaujpSUSGE4vStHrPoVPEPA qriTXTVkKVaPX/Jor5RcCOv9IEBnJUTP4KLBztdyJ0J6WQJogWbIYTVqcunaXip4QFYrCQSO bLlEsb+QA0/g7y9DgidwKGyqPNEb0kn2FjTJga5cIMny/3YzAB5UTFQZEi+JsdYSmO/QaVd5 Euz+ROU4pHY3iRtS7YlaR0LPUaYkCfY2RMERHtAMkyTC80s00VQDDqmj8XkZUWWZbTXqQi/w kfzqsS/PsOvY2JAnMSKbDB0LwizBEiubU+CDU4RFqLLL2qcxrpqwbb25od28DD+a4OLixoCq jChwiK4q9JWNnjPsDVsOZ3i6qK2dAofISkIzbPWiGdrzNd3tdQ7jSw89vNaShzgI9wRXwREh Y0ACMVbaLs/SMMEPSipPtLtKNEMuL6wrpvlFW/F84IsA0rQApCnSuhxIMy/Aiuy2Q1w42jyf ukx3SadgNlE8xx60VbSjRmhA85NHKmaolVbPpcBj2fdPYLPxqLl9X8We+W0Rqx07DmzPBSvj Em6MJHkZMKmMk8O/0GwuA2qmr+A5uqvMBtp7giMt+eqMrOgll78iDxkFHAh83Y2zAiVwB7g7 QBlleZTSvVV/YTkESCMJ7BhiuxAbBpbGyJxilCb4tsgXSz/Iiszf2/VIwdIscJwmOZTunul4 o2T4caVqSODtb8nAsjt9OEMYYBvTkKcRQr3QHPOmPdDO95DmFnR01RfIXqtxBs0ZuUrH24Mj sb+/sN4qkmSo27eVY/ADH03+NmRBuD84H7MwTUPMVlzlyPzCbkEADk4gcAHIDBN0dAOQCCxl oD+2X8o6zeKBOVLhYKIHZsC4kiC9YKEAdJbyckLqIHUXsNzFCwWSqtiTdDe0Mwn8VQ8Vczja W5hKWvbnssmf1vcpCLNDnibKVE/VC7vr+LXgEC5DxHUf+qpT9OUWfI6RPp3bGy9f2U2Ple53 F2M8wVFeRKVE2x77RAQ35WdvM0ql8Yk7dYRxt7zAAPaf4p9X83yleEV5O/Xlw/LJbveBP1DN dfYC6Sag9+E6VDafhbNNHIJACPdtaM1UMD7ciLP75Z8vn8BI5Pvn50+mDTnJu+quaoYw8kaE Z33m3efbvNRhWcnAot+/Pn94//Uzmslc+Pkxd6dNwa63YXZjAJ31Cn0L/OnK1+Hw3i7e0meV iPVqtfhQYRMczCpDrCIaR/QqR7zLUfSEH5pwFqdTfrQh2PPnH39++W1vCLhYloZQn4W3jhAp PPz5/In3Ad75c/JOnnUFBstJq/nvL6QgcIy9igtSdQTMHIvrQGy9Z0e+pjJWHVUFOk5VNnfO wsBfgYaD2hbEeMe/XlCdyIqq3flmgXXqEqE4r8DCX/10238sNnz729gc5th8EhGkcEDWZhqZ ZDXyCi2PxuHKRuB8PunZKPXAAartWLLAMlyaWQCnoalAm+UjJI8zJfmU08ZK0tF6BpMZn3hz oPbrn1/eizC1zlCWp8Jw5AAU6dj03Ml33u35nkPwkOC4WwM34FLnGDXCEF+TIchSD8lS8/Kg 0UXYHd1hJQC86vHBQ+V5Aa/6vHpyxjv8RtNPzUA3jRM2munSXkFcbgFEQ4ONgo8dIVc0jM16 CnK2+5H6wroRA6PmrMoVAVl0llCAGBFiHJjFmJ85cHN4haEKrJ4SiKsCpg3mSgstmq9eRQIN dO7v+fE1NOnCL6e0edRTgYeQUfWpoBDNuFIq5NI3ETxdkASY3YUAR16OXnt3keSAb7NMo18G iAImeumzSuN5S63ymQb+iCs1AAAQDId1kIeM0NdRXClMcIDfb9cEEjruOW0LLbQDB1Ytd4Um wyd4ZhEkGb/QXPHEw5WB5aQa/ShGbzxnWOjDG41rqVRsVFU9faPqZpQrPYvwA/TMkB28nYKB HppVLghRgBEzK/8hCdH3jwW00lmuu9WUynfCMyUa2w7WCVMDB4jNMOIhs06FCCSgt5+t9LN6 7deUhFaqESoEkhDBJXTarHxuEIcoC32zvDuqGwLO4yHO3Dgr88kUYFS4itJkxLbICgJ2y2lk bhzKNadKpbF6hbOSDLsyQb9/yvi4N5bF2UU9LNKawthxjD1vtxLSBxo/6hgJPrFcPSMCbQDH EGEYj3x5yq11S5qy6JWYFaqMAczTqSn2zC66XNigaAfmjiW+hyoTSbsSVf1CUlJjeKz2J2ZJ BB19m1gKapjgrF9lCUY9+B5KDZDycKo9PlZE88kxI3wZDZUryEXnzh6BC0KuRaX53uVA4kW7 I+Kx9oM0NONSQ2fSMA6NDsYsfgRd2OHovIt5nCp4SMMrS5CUZFfMI4XDaiUh36jmraJKNIZb V6PzgYoqxkjQXo8FLbNokedZNM2gaKNhItCMuKWn2RTJSi72HMkdDrjtjpjXw2OUOUxsJA4B huvO8i6CcAke7KpwZjkZbbBp2dtEeyZsR2mziuA1aCKwsDmcR/bCKKSzRjkiA1HfA5f36GXF 7jFpvfhaAuxsdd1i7hi67RtwqsaSz4i2Hoiqprsx3Kp+uJJaxJu/0hJNHe4ExZXgxqVMpI2P i1JnvlzhTaVygZz2Chdoq2eoSwiFp4jDQ4aXhTT8ByZ0KCzyIOj4Xg6X/QQsxekNW89+uylY 0o/SpeJc9EoryQPPbhbr4Qb/PPBf6wnBhL2IKaOMNHEYq4uugWWZh5fAcSezMVSs5merGP+a g0mQ+rgW2MYGEkOK3xcYTPtNKfS6R6ySgMQxNr9WycRGhjyMswP6EYeSNMG+gtNIrAsYGui2 zTXZ0EcbjSlLIrR4Ako8F5QdQhfETyv4aJ8PK68XPDvEuGqXwXXAdctNLuzB02woVb4wMf3U ZqAZ6m/PZArw5OdT/yweYVlIhcr9HDhPdggcCXRZFmOXBjpLgo54OP9p8Z80JAgdWXIszl7r GWDCn9F1Jof9rc50wM7HG8t6DLCRY0UY1jXgVcCI06eC8pD5Ssm6G18S0cO1waMaVBnQwVWE R8zr34YLd9t9Ry/45wI2Hdq5+K7sON1wZZ2NU9XKUYJjThCJu3nCmhiO2Z6PTy15BN/PcEh8 fH3iSBCh+1Q/0FuANjYLaEc8dKwDxHTtBAWMaZYm+8NvNdjAvp9P4PsJ1Gd+5vAc26uUn49t C9bRr/Sn5L315el4Pb2Jt3t8PU1xCphulGInLIWRV9VLCNrGT1kWqKFPDShtMIifYmM/UUMx aVgShAna2fKkHoRuLEXXQ+zkb6B+uN+VgimI3MnDUoxXVV4IuLHAgcmDPoat1m0WtKqCoIhr XZTn19fXpZocq6PyENnnZsjDfKKqtWpd9drZtM+XMKi4xYbAb1Ve4jAtIUZKXubCNLh1mDNL LoRDPHudvz9/+/3j+x+2D1NyVkp+OxMIHLRVbSaI2OLn7sr+4ycLBGEtqu56M+9LCtVPAf9D em4vjhVG1eNoAL3oJnIdl0BISO8IJmHoxcr6pHtKBeyesjnWj9rtgEA8p4k3UwHhy+mjS0Vm LkWO3vcCOAxGDW89oVueOidKP5d0Eo+vEvvbLL8Lg+/YhZYURVl+KYvlpR8ukF6+vP/64eX7 3dfvd7+/fPrGf4OgNZqmB3wnA0+lHuq2YWFgVe0nkV4NEQZk7KaBH8gO2Wi2twabzncU10Wu Ykq9mJ5q8RQXNRiFrBapJ0Wp6thuNHFn0A29OeAILYz4QxrctNdbSbArW9lZx6moWFeTJ2NI nEtzkPCO1SnEHLr0TM6B5+nEh7E2G/bYcoHFUaKONOWqcVR8/PHt0/Pfd93zl5dPyvv2yugS hFTFHSMRNY1jXxVqYLEt3RXRygFqSd9/fX7/cnf8/vHDby9GkUhDIC77yH8ZU81HkIYWHVY8 O21tqFIjNVi+OtJDbLQa70LgGG6lNaohnE+BOboQvRwWeirl0JBbdUOJthINgHnV91c2PZQi vrOWt3xeKRyu50B0Ba7LyDe9FDM8XDiqujoEgXI7oAJhpEl/KhShDqYWDlp5QRY+DNjXfdkR PFj4wsGGNBbnWutbjqRhjAt2YsTVPnobNI/GU9+ywdoLyjPJMQf+ontGGRcWpA6+vzBsgLc9 +JkW6oTTw7Xq743JDR4T17CgYhKcvj9/frn775+//gphRdYlbf7mdOSrfgHmc+oCdcJ951Ha iTGLLqloPlL17/n9H58+/vb7z7v/uavzwoxiq2wLHJVRFmfJBFPfIfl9LeIZq4xqO28c90MR xNi9wMZiPrFsSKc6XNrIs5aGA4kDvCR7tzobl5D7HmvUeHfjWl9eLcQUSDeEFHB/4TmhFIWU 92SktPOt8St14g2chB6m127wHPBc6i6L0ZdIjUU6kUA+72Au9Pi96Ma1c8DcmPTHciX7Wxx4 ad1h2LFIfC9Fm73Px7zRdrxX5skqHFdcrqBcrp+lMWWduBRUc/tlyd9b5Vl7bQpLYL9UhS2r XzSXB1yOXd3NDH3ZnAdN+Y7jeCDwq0xGZVxURq1isG8v7z8+fxLFsbTk4EMSDWVu5juRvL9i Q0VgXaeHQxPEa1+iesailmV9X6mBijmNi7pcaNFbI79U/K8nM+28vZ4JtvMASEnORYAnswK5 OE6hg1XAT11fMkwEA5S3+7ltekP5faNOJ8zkAb4suewvYmhruZU1Pz3iW76A392XuN8n2bP0 WPV4wBCBnxzShABrCD9zxc+lwMCFGFIX+L0c4LxkQqp0MzyhIbU58kjqoe30Hr5V5SNrmyrX B8P5qZd6/Rq1goBS+vfVYBB+IUc1jheQhsequZDG7IT7smEVn2OoRQcw1Pnin0slloVJaNpb qxcUpFpsFi10+KPDw6CsLOiQArS/0mPNha8imHR3agCeD5FnfKrhj5eyrJl7vFJyrnLKB4jR rFymHfrWakNKnlzKwAD3pZwjZjvQKuciXHvCLz4ERwvx2XdmAb3WQ2WNRIWhGSq9ClwALO/1 fuJbGAjsfE4oMr5ClA2sflAOpH5qRoMKgUvzwmycmbztTM7KLJx8cLmWoIWFnyXM1uwgvlUP k8j5MT8KsWGZUevHCtk9Irq+4iKW3m6MVNCWRjkYoezaYMYAAi3p/JFKBH8qIiSRTh5KQq3k Bxi6fFNz3KoJnmvT1ehLgRiO1BgSZzgZE1Ypys8ryep7Rkk//NI+QQZqK6p0dzMO1a01lqW2 Y2VZ6C07XPiSRHXGK2z7U8dCnfxYVbQdSv37sWqokc+7sm/NMi80d3nfPRV8z9ecNIlOBIO8 6aKGpFTo+ZUN8LAj/tI5SN0xVSLD5JAt4LYmK+nxMhVIscGq+Brk+gplkFdRtLhjJwkw6x6V 8nqdLtMiXC33VNg3C6jlsEhn7Di1l7ziB8hhqMupbLggoi2JwIHc865HQ1U5keYyltTiNp/m /2bFv8HC5e4CEcjRQJfKMTO3zSg0lBV4OE7AZCi/s6r0BNR2NGJWAlUEv0PvtAB9PDJtuQQa qfPWoaUFla5OfGDhUo+olTOotaiVUK3TKxqi+niQFYU4AkYo1AVwZVBcKr2XgAKapxC9Mtdb TECgstU3YLgpcS2n/Jji2nxURDznKVijong0/+br+3CiFvVYX8tTVWqq7RKR9gR6WTn5UoXp Ictv2kXmjN2Hdq653dYX+FFhaw3AV2iQpG9rI304QfAtQw/xKdK7NqPR3PnDxeS6sAedMLTs Uh3JbAOllXAOlOoa+MO9WaX2ETvcUC7vD1Wuc880l/2SiH7Afn58/wdmuLl+fW0YOZXgmvZK y91U3OuAmaaYVOol9or8IkS0ZgqzEUH7WHWzsJGx/mrKRyHXKIYd/C95xYTRJsvoTMGE1Cei xGPCMfAde5C0Gn6Wmy6P8OjUnMs1/h/c/1iHXvEZ4WJFbRSHsDABX7ZmUcTFFn45s+HYhceG avc+CzlBfXStqKeq4QrqrAWjE0XUcj06p2zA9sh7Z3q4HvFHMpWpJ5g7WcEhI2IEVqPMdJey neDRr3lkxUDRPjKqAMQ4sDhjbzRbwHRyuhVFdxuq0neLCDyJegkpqItaM5eVrwzBVI1mQVyv MvUS2KqUJp77QcS8DL/OlCVENW8EtKnv6kU8FkHmWe05hPHBHodujS8BNyywZom0t9OTGXIC agyuZIY6jw/+aLazbdG0kIUCOzJn4vgvd1O1Q+DQAZbJLqZE1mq6rRN3v379fvffTx+//PEP /593XFC768/Hu/ke+U8IoYBJsnf/2GT5f2q38KI74MDj7ERhSWYOaekxzCDC86dBktYoEwRl VUV3gVWd7klYrhZnGvqRZ7XA6dPzj99FiMzh6/f3v++snP2QxcKD99pyw/ePv/1mbGOydHxt PuNa9iTPS7B3rriQ/LQkxlv2+Y8/v0Hw0h9fP73c/fj28vL+d81wHudYUu2HfNJiYwEBnBQl mZ/ZyLInbXocA0Sn52LDk0PPg+MMHM1fHLr7AyJuK1hzU6LVc8Ldx+XJU2llYOTC4mkNwqUl L5Cub90FEByG5oVewv4mzhTWIIDzFpTK6vjlK6lmr+rpzAA5HuN3JQsxpGzfHTD6iKY0O67Q FH5mqGB+6DlUcBWWFDcgUVgSXCd7ZrDfQBYE3AMeXFYGG49pP4nzuBSTVR5clVjjSM0BMkNC x3g3h57FebjbEhWr/cDL9EmzAaorRwNJsOYbOYIaX8y4cNqmacmpgGY5rSGhE0lCrHUE5DCd XFsw8geXKvAyUh/CAIuxsmYjtYCtEY4FjtKwg8t8YmMSOna7TIxLnQf0sXDhOPGdQPVUu44L PjE1xb+NHqtBTlT+IMZqU9LQQ90Mrp/eOEOGZMXpusy5IVnm7Xcdi1FV5QUt+BqSLTpWYLi2 u+LBODggy5qgRzZdrFFoyQWyN/yBIUKyEvQUpx88x/RPDo5IWWtDHlIPVXheezWC3ra7BlaN COkzuTgGNsCnW+Bj05rmXaoGPe6lU4CJNMXss2DtIxBMXt2dCsZPRwG+cwDidOellzTFUhAj 9ZDvrZb9mPjCglZGVvv0/JPLkp/3i0zq7kIcoyV4Zf3mLDFuQ6UwxEi7ww6YgYc4WtVPjo02 cRxJNBbUzmNjSIMMXRYAil5Pn2/Cr/OgR+iNIYi8CC2C08ZNYUiQyciGez8dCLIn0igbsgSn h2g7AILbyiwMjCZBhOyyx4fI8KW6DsIuznfnNYxjZNE3zX5VuqF+vbSEsNrfW2m7kvTocrBo woiJ8vXLv/Lu+so0YfQQJGgx3PfAK0d1lldIWB+cWD2dBird8e91BVyFI4ueuCG/8T/tpmMh Qiy7Q6hf1qwd00f+bntuYXXtb/mZ7BW5VPhK2Ost/Yp1reANK+tp4L956I31NlFohy350k8N kmbd5SHuxnQdOdKhhpXoUJ71mKJrbuKlYl/OG4LUdxj/rSwug6+VIU0wWVgEz8WWEBoi26QR MGud0EPh+4c1bLJ4hXrhh9/v+zNGCQozIwU4chI2CppOy0p1XFdzBlvVkbCnJp+GcSob4f4S rl1BpZI9VkOu+ALjH3OWs1SJVGirgbj8TrkXhgvlnvCV71yortIgaIf+rgLJ/PIuStVgO0Bj xPdHT89OjH2F9LilpzqVEVMTyOgTKRNfbJlV9DzRIhfENWlpl19xWhJZ1LaDGC1KEveh/jXN T1OpU2g3dRZl0FKhfKSpFvzgmkl+slatOXanucpI3br8opejq8e5rtujtzDOwr9fMXpVZqfw MWimIu+qRdOjc05M5cCbSHd0ZCY5fE825eZOpKJHvRIydLXeUsP9dGEWKX8wmksoj16gFyd6 ptgb7cahjL5HUS/rJXGmI6ksX2g++uBdzmi2mSQC3GLtfzLGSM9rzog1Cpjo5nI6EoYlI7yg mpNiSQqerN29VonyYTXkpW4106pBjMIJ9IHYkWh7spwmtZHSugrlnz6C0031lnFdh5y5G9ZF 63o09aRan4k4GcwTv34DXxnKMidSP1Wae8lHQdVe8+fP0fw5wLehWzk17VCdnrR1CbDFyYa6 IAN9sYzC7yFnpktJOoNhManQa6S02HWcTSXQhK/oS8ntBAHiq/7hpLwhA1EtuGBq2qqlFLfF EQy4H0sJ1WQ4tT21EiX0iCtyap9NOanHsiCjcDopInq+lhOofIznYzlHM/2MMx1zeqrLUZhA 2GyUb59aifnWNkn3lnjfAQN8VzaYSdJNePMEUEtUUMWcmdVJEPMH+S788f33rz++/vrz7vL3 t5fv/7rd/fbny4+fmJ7Ma6xLkc59+XS8Kns0X/vKQnvzlxTn1fcKS4/VYnxX78DH4X8CL8p2 2CgZVU7PYKUVy5fGNss3HdtGUbaaifp6MBM70oMujkVnjJ8ems6iV4wouZqt0OW1y5OowhFg gT9UPEEaGADHS/TGkTnkWZUDMwJS8cxuo5yGvNBIoQjtat4LVRt4HjTNXuaSt8uDMDFZHYxJ CIxItnwWZajxr4oHVj0Kkusn55XO/ASNOLExeNlcFuRTjJqpCjQKs4OeRHjJhiBzxMtQONCb IBWP7CyBHDty9NFYoxsejHZ6lMuBZEASPNWxj922LJ0Ni3zV+sGUYeOLo1XVt5PjRnOZlDBG q8C7xyStmSdPRrgNaJFcaJcnAf5ytJSjePADzGpwxhvOMkxcNo3t3p0xLGMBUYcfZIPHTzB7 po2pJkdwooqMUT59ib0acmpBfHuScDrVosau5CveeKCm84BGtp1X0tixnlXYXqkzZUFsj11O jFHihFT+Xv6E919k2nn2YsdbUBPtjRZ2Aq4PpQ2iXX9Bn8oRVjtcS0dj5Nn07XVw6EOzgXDJ Ftf0XK4D8DwuPc9lFXhQHc6yrknTjqiQNoc3u7RDV7s0TSULKl224Od3bH01atQFnODl9b1N mTowRFWdN0jlB517o203m/Lg8OnrqncndD3g2q9/+fXl+8sXcJD38uPjb+oRoMqZpuoKKbIu M1/oZpHqjanryfETKfaMWNN7LvGE5o6wVAt74kW5DlGmz5QFu1QJaE1hEMupKd9tEOrrUeWo YsMA2QBjx1al8ESmoLFgR+pnaMQ3hScv8jL1EkM0W1HG5RRvynFzHIVRXA1zwd/l+dxgZeRV tnNJq+ZVLmfQWbWJZh9B24DnxJr5XpARPkdrvsuhHSuvJPGGke/V+/mCJS82ydqxIaYsvI5B 2gXSmStec6hyDjYp+LImep1U96SeBnTgAJ7TgMvcU3FThfUZyPTXl5k8JSF62azC05mo5mYL dA9eX7FWqEAvB8srfzo3Dhu8heXSowLSjDasw9Jt2N5HrNfLrniKQIt/qfjUTPJbqPqENfGD Y2ICGB+cwr/ClqAuygye1FmEVTUdH218VQvQMA3i8C7ucZXbnOF6VL7SLss26PUSH/nxXHM4 PebGfgSjg44Zpfr4FLQGoXXItw//WcMQ/fby5eP7O/Y1/2E/AXAZoGwqXoCzohioXLJtKNyf R/hx0mQLYtyPgcmHtpTJlHp7JXKo3ahsI3gnewNX5jgsL1xDfoXmRfdytJG1O0/pZtxMABcz 6MuHj8/Dyx+Q3NZV6ioJ5sqavZwKDkGqOouzIL7I8tK4FmDJUtGzodfoZL0VZS7Tc7JcqtMr HOVwebVMx6Jz6VrazHwPeTvzOXwrs+tkuvEkaRI7agqQ3Nz26iq4ckLfVCLBfM7LtzNTM2En pxwDe3W5gZuznc6XGZ7Or1YX3IN55K0FE9zH17LlTD55C9NbUgrIm+oQHN/YESmmymHw6Oqa Fmj35A6vPZ93mOcZ/VbusnkbNzx8v1ZrznNw9AVAr60TgkeuNq/llPmGqKeDCa6Va3EhC42T dZ1QO8nx2ZKf8HMxwvyWuSw4t0XalVzquJFRedQgzhakrmxOHrmu7RSD87xt75GsHYgtfYkL gAaTa09cmUhRv1IykVKDqQXazLIn9xN84xQWvG+elZL7rbMyi82rUtf9hCaWKJLL/AYk7zA+ f/r6GxeEvs0ajZoXv7ewK9dAbCA9/zcPfd5Q/JzqOL2IWW+cbueXaJ1Y0vKmadsKznfEcV0O YMqc/ukFnpE0JOjjzIxykdnKUZBdZzGJhvhHuIrjhju8Qm0MxHUolvDRbEZBzR1VKHcTSzP0 qxT3q73iaIiaDcUKqAZ524gRmj0au3xDE7yqh2S3qgdN4lupqSMxx5llYzi8yrBfC+IZxeGU 5GwoyS9AevYi1whmFz68zcRA8yPvzrqF1Irws1IAMA6FDujKjvyrus3vQZnBnqPnwDX7F50T KBFl1i2Ghg4djhbVLUH3htlpiXIHEOZJJJzi29fILO5uoGukYWs95nB8YRCrHGg/z6zRG/li d5ImY/JK6eLIf2vp4ih4W66kp0mENtjCwAUoJpo7128fZpwj7RVTzxAKYmaDa1jgxqIQfwuA Xq9O1a00B6GkQgAx9Eob7l2EShJr81N3JnqSGhQGO6CqCii04pRSftYAlh8y6FAcCImOiCrM art6vYAo5x4qc60sEDpt1Y5EkljwzHFpbTEesIaciyNiIW2k6jad/Nz3PDZD29XbtYm9aiIw xnJcl2hh8eEmP8cUaVSO3pHDJXktg0viWzxWGr1Vt0hkjOVa7eWY8M9Cf48j4xxB6C4R4GFo lQfIWTggBeLIxUrPYLiFbDfHogywHPvIs8gHKIhNBm6dqKzYELmv4LKiWvKxqqtmnG6Ocitf v3tqHigWs+nyyLqqgTmiJrxRhd7i7ndCC1R5odwAmLPbPFUBofuNfiJm4fYNK+l0Ba1+/eWS ff3zOxbvWIQzm1rFhZWk/H/KrqW5cVxX/5XUWZ2zmDt6+bWUJTnWRLIUUU6c3rgyiafbVUmc m0fV9Pn1FyApGaCg9NxNpw3wLRIESOJD3VRLcoWRz4NJuLedPq/iZZEaFqMqhMUvaQxHe51i ymZkfSni0q1vxoDcOWT0jH748Wl2vdwPArhZ9qpty8aDleWUmO9q3MIdqnbOmLrU6rZwSU06 aLpZxIP2mSW8VmMN1K+Th9mMf8ZotzZ1Us6G7Uf0w02S7ds2cVnWIWaQw3y01ETORKHM1ntS 1Grm+7vRhuDTcafIDczQJht2CXc46KsOWVYPC6R7BDapzsH0S9biAwCbpIveR2sBTeNmVmqf +zyRNBITRrvO2SW9ja0tKRhdXUYLtPeZfcbOG2hsfPQ1576p1XA88CH5WDa9hQ/n0tqu0UR8 Yt6zy3brhFozKm4FA/ZVvrYk8jSznYJRcfd6/Xl2I1Cp8xDnbdnI8ZV6tvig0HJrNgdNKxCC HbGykvbLWaMQkVh+cx63CXx1/4tV1V/yOLLCkqH6SrVDesUffGhcJJi4NU6yaeTcgrFTEEc2 94sqzotlRTwjsPMlo0ANV7oOTu6cYRixroq4WeGaBPWyL7zfOLRnQlwniP/B7qJRSNdpokuT po1efZCHYpehc0SZXnctcHSVUl2OlIXz3c2jG4blS58KH41Dq8nVrCFZlLxuD7w8vBzejg8X 5pF5ff/98HH/59NhiOVncuMr7ssWPZTccs8cjKbODAMxQf8ef7TxJIMWWurLMk0SsdQz4vQv Osvr12+vV0Kt3XNqDBrfrptqeym/AtMAfuOv9/spOkjC9WHNFky+sWx5jY28KRUxr2IMGVCW JCR3R0HMfD2AyzvsD/zp+kdtwQVqmLd9Uyi96yPREmCSG9KzO1lHB0NP8AHboLocnk8fh9e3 04OE7tZkCOE5hG+xn1zIbAp9fX7/Ljj71bAEicsg/oQN26Xozlxq1NVRDhKYC6XmG18Fuams ScZRH3r1b/Xz/ePwfFG9XCQ/jq//QYSeh+NfMI3PqHQGitMeE6tTIsPgoWNtEm9uxCdJlq3v zWO1ZdGeLWglisd8s6IRyDWnpJwzyqfQHNNO8xqLN7PXwpCHWxRuZAWZrmeG2lQUA9ty6iA2 WajWYli2ceKgC42hO+LC13tCLj0e67lq1XTidPl2un98OD2PfQRMDtuG+1KK8w1ej9hcsXxd wWZX/756OxzeH+5Bol2f3vLrQSNsIb9KqtMe/6fcyd9IDwi+nqFfe5DcPKsBK+Lvv+VirIVx XV4Sl3ZL3NQZLVwoRhefvWjxXRw/Dqby5efxCQHF+iUyBNzK24xC4OFP3SMgtE1VFDZElq35 n9dgMSTPlz/DurvNn0vKNLuJa0dFgOnaxOZejFBr0Jz2tw0PRYwMlYy++UC2cH/WOSxJ7dU9 uf68f4J5NjqRjZwD9W4vej4atqIBzkzcuIJqQ+cQl65Wo8pMRuC33BSzjdV7m2yU6uRH31ex R3ROn6/DzjIb1GU8epc25zuVaB7T4jRRuH2QUkj3CbQAcqVwJs8WElVOS5FgCNUfabEYxpvy 5UqmvkgORCoPME0YM+lGi/BjIWNZLfORR/7nnNEvSo7EQYrE5kehSE3EgYmykYGORu5SSYql iDfS6YuXDTmU0htQfwMzuBaA9OLmZfl1uU9BTc035BbYskj482pbF46lXSW9Z7kNW98lG93X dPrwy/Q0NbFctvrwxWzE3U67Oz4dX9ytpV/sErdHPPxHSlVvHGJkxZtVk/VvRe3Pi8sTJHw5 UQlvWfvL6sbGJdtXmzQr4w1x86WJ6qxB3494k2QjCTB+hopvaDBJwkYAS1XHo7lBo891XtZy AdY81iG+9IdfblVXiHxOYAO+/ZN05vTuq1Tn8d1nN9lGMgezXZvoSy+z6f/98XB6sQgaQ2Rm k3gfg13+R8xhpC1rpeJFNHK9bJOM4NtabhnvwnAy4cut4+ho41/mtUCsnO5C23XkdjPxKTau pffRn7XDrtDJpp0vZqHkDmoTqHIy8YJBwYhKYEGG3SKBBcsS/g3F1+CwY1cNCxpkFdl9Wq9k Kb1s/X0RwE5diGwEQShFyHM8VcTHSpus3Ser86ghPV9RWHfUjkoaZjWeI1pG2kCl0hFgUzsg 62cRpo9zVmUS7LOlfHvXnYGKUZTNUqCY850AzQbE0BCfGdEPIoGKl+kZIrPzQxnKI+o1dUGE H+gRvmJHeT1tnyylpA5iC6NbXBqJi0Di1QZx1xvOv1rlK52Kky3OLRhvtoWMa/67UmIe3pmu VoWitk8SkCMdSKRux0P6WX6X85nnPLdzILyMrfvwcHg6vJ2eDx/czk1z5U8Djzl1dUTp1Wuc 7opwRvxKLcGNy9CREdpvWMqyjNEp45n8jrzBb8w8oDn1LMsE5JIGHZYenSzL3JvPDZsWdaba AvtlGTDYoTjk4dphdjWpHItXcxaDxCKU1mpXqPliGsRUZvQ03m9Cd/pOwrWYroRyUI2rnUrl h1xXu+SPK9/zZdjNMgmDUBSxZQz6KvE9tATe8I7IBhiJ0ymLDhHPIwoRD4TFZOLveeRqS2UW pyZJe1y5S2Cq0PbtkqlxKz7LyASkm4gygJzQY5B0qr2ah6I3AXKWscXR685y+GIzC/Dl/un0 /eLjdPF4/H78uH9CoGvQGNzlCOraZYmaCuimdJHNvIXfTBjFDyL+e8GW5SyYTvnvhbPKgSLj SWiWBFAMjGjGS516g9+w9YEm2EfwHWEPBAZoLNLC0oz53m37TPQVRcbCZzXOKMgr/J7PZ+z3 IuD8RbTgvxfkDsae5IFWR2j6/C0u40kaOJxdHXi7IQ1lT8q0JbzC0T6GyJDvzfBBDbrKpCIK AkLM8YrSeIGS8bJmVLwHLhrUShkZFZZyF0zcdq3zeSTGUlnvZlwy5ps42O1GmtfdwDmlg/Y+ S0eyGKxuN4eFEhwdpaJNgmgmWa2aM2ciQJMW0pwzHDJPQF32vcAh+D4Lo6MpDOYCSUEkW9nI C6ei9Ip3i6lPJnGZ1KDqMmhFJEWigwZyFiy3dT9DD5DJDF0gdnxGZJv9N78fakvdxNuZA0SK bxlGPpaxGty5po2DG5xr1lmRcwzo435XsUzm8eldU7mfvj92UHEz9vn129ORNhpUU95LDWTq VmRB71YqLfUm9IUWbhKN1KffmThDol88Jd7cZzV2VDHUTMeMlBf4w1x+4IfyFb7le3N0Hv8q RTBXMmSu5U99NQ2mTiegUI4wY6izxUSSyzZL6Gfe3M1UghE7JjiA3xZJNHHDnu9b+JxeJEY8 vy0iDwyX0vmsQJ8iXX8RIZ99eLbrsnWb+VcbN93aV2+nl4+L7OWR3i2Aat5koFDYqLq8TJLD Xpy9Ph3/OjoawTyk+/i6TKJgwgo75zIHKfev9w/QUISlGFM36EbqT0YQL35Zjinox+H5+AAM g11Km94WIBPq9SCIoGFk36oBZ1lm07nn/nbtAE1jWmWSqLmzHcXX7trtZFWpZp5H9nyVpKHn qJuGZuolKiMSMW5lLB8UYHfyBmNwqst6xEGZpYlE/bNWPLyLJoxYUoZn2nRu/s23+WJHJ8ng KxnI2eNjBzkLM/UiOT0/n154DGlrXxgTlgtxh00t0y6Golg+XRylskUoO9jmug4SI1AJmVPn OziXZy6oVd3V1PeCm9aqtjWtt/KV5rAIZnq3TkNlHpuVDs/OMHMCalcTLKx7IwzG1ufEm0oX NMAIqRmFv+ds1gAlCmTdA1mRDLmlWbLhP5ksgkZDjDrVIH0sR9iwNk48ZrNMpkHUDC2ByXQ+ 3Y+BsyB7MR1ZDsCcTZiZBL/n/PfUd35HTu1jdghoT17jpl1IyiaI1dBjZsV87pFqUxVFHHEP NE7fAaNgeuo0lLfwchqEotoAWuTEpwprUiPWAycsAqbhWaVGRLRtDcDePMCYZkwXAPJkMnM3 aKDOQhG6zjKnfkBlxZcropcKj5/Pzz/tVYorFRjPhL56O/zv5+Hl4eeF+vny8ePwfvwvhvRK U/V7XRTdexXzxE+/ybr/OL39nh7fP96Of34iwCpfi4tJEMp75VdFmKARP+7fD78VkOzweFGc Tq8X/4Ym/Ofir76J76SJvNoVmGCysQscO/C2If/farp8vxgpJrO+/3w7vT+cXg/QlrN47tuE Z4feiHGOPD90xJQhyktOH0RyObdrVLBwKdGEaQ2X/nTw29UiNI3J69UuVgHYdPz0raO5p3I9 ffxUTpsxI4dyZb0NvclgW+ebVmuLiHe59FYqby/DwPOkZTT8SGbHP9w/ffwg+2pHffu4aO4/ Dhfl6eX44X7TVRZFI6F5DE9GV8T7Kc8Xz9gsi0kAsRWESRtumv35fHw8fvwU52EZhL789CFd tyMgrms0lzzp3StwAhM6SfrO622Zp3l7J2VsVRAQyW9+87lkaWwurtstt/ZUDlrryFsOYAWy Ej8YIosyBHIVAx0+H+7fP98OzwewQz5hyIWlHInfz/L4ytSk2WRA4hp97vNwH4YyelGQn5dp n2W1q9R85o0vnj7BmBJxVe6m8hzINzf7PCkjkDpfLE6aSImweZgE1vhUr3F23UUZTJUkDKfD VhgUqpymaid+6S++KdVH8ZPsGVwmpZ7v4UwIyOP3Hx+ylP8DJn84sozidIunZeK8KUJnGQEF ZJh0QRzXqVo4B/GathChqGI1CwN68LVc+zMe4AYpMsQg6D0+jYmFBAegsYR2iqgbJRjoE5L3 sg7i2uNnZ4YG/fQ8+VY3v1ZTkAFxMYIA2tkeqoDNz5fO5nkSGntNU3yq+9Gbo0KNSLW6EV0A /lCxH/g8RFHdeJMRW6NrlgmWPKLfNhMxslFxA5MlSmhU63gH241z7IoUcma/qWKMx3YmVHUL 04h8oRp6EHicpnLf58GckRKJb9HaqzCkcfRgaW5vckVHuCfxNX4mOyu8TVQY+ZKlpzkzrqfb MW3hw07EM2TNmRMLRBPozQgSZrxYIEWTkeCDWzXx54GsytwkmyKS79IMK2QHhTdZqU/ipOSa NSNDe1NMfW7XfoPPCV/PF6Ugl1jmLez995fDh7mME2XZ1XwxkzfW+MpbLEQbxl47l/Hlhu9l PXl0QzuncKYA0ECiSsNCFiVmzNqqzNqsAdWSrIMyCSdBRIbObhq6Kq1ByiyMy/cFGxrpsrvp ty6TyZzGNXQYztR3mEzd6ZhNGbJLFU6XC7Q8ZzTv4jJex/BHDSK8d4+OpYlhpszn08fx9enw t2OK6ROrrbz/sjxWy3p4Or6MTzx6frZJinzTf1VZOT0nN49E9k3VxoiuOqIPCLXzrqB/0l4/ +xs+GOkiP1/8dvH+cf/yCBb5y4EfbK8b643YH/wRJjqRNs22bmV25xHqluBoPJiIJRl5GNPm l+u2qKp6pDYMtywdUMq9tLrPC9gjOjzl/cv3zyf4/+vp/YgWPfmYdPeO9nVFVgn5XslWteh1 pKEjMJQ4uw34JzUxA/z19AHK3fH8mIceSMkSBBgBfbWTYqgCsnLxtCiiscs0gWpEhuAcKHnO fSeQ/FCSl8iBrWWQ2BvBa2rrwhvcWjkmrjMM4hDBV/2gXhdlvfA92WLmWcyhzdvhHXXp4QeP l7U39cpLLvzrYOQ5Z1qsYV+T3j+ntWKqBNO/MkXnU00/WJ7UOHhUEaoLn9/IGcrIRmSZ/HFO XYSmjI6gJvwmWv92nvkYGi8IaOFsuJ5NnyR9ZRLR3q3rwJuSOr7VMajj0wGBt6QjdjtBdybm fsWzbfNyfPku6gQqXISTcQ2D5bNT5fT38RktbVzHj8d3c3E2lBSoi0+o4lnkadxoB6D9DV2A Sz+gC7IGsXH+1axSRCvjWmGz8kRfjt0i5DYXUCby0ycoghgOqL3poKJEHZuEhbfrb8b6If6y 99Z98v30hOh0v3wDFSh+vhco3znl+kVZZgc7PL/icSxfv9zg8mLYnzIRRAQP3RdzLiLzct+u s6asjMvAiN3kFnhej8Vu4U1FJd+w6PduS7AhWWQNTZFitwDD99lqa2HHGwkso1mBJIrwTM6f T6ZsgxQGsbez2iV9uQw/Yd1LRyHIyVPix4uErCZvH5FgIky2WcLT4byvKzr3kdpWVeGkyxqn wLaJN8pGfzobH2WGDgPSvTAFwIcfRmvgpC6mGyH1L7foWHQMhE6RqyL49ZSYNaAHkkWPNPN6 nXYCyR3ix0jx6e2gQSYKpjgpkL3OlzeS1wPy8tLpdV7ufN5MoASzQSLYyJ1RtaEAL12yWY68 zKIOF9S+MLTEx6fzKml5CfZpmJtaKTeZUjws45naRUBhRTjxgTUJ3SVzVfMyhjjfSK2TeDGl N2aauIvdr0Mg/EGPFB8uYCrH0U/TrMtAW8su7TqNfTw1UmznuOXMMdir5kldSMJCsxELyWmM 1tnH0ncwMGws9DsptxjtNjDamzbPEhHByTLXDS5mpzPtrfxow/L2RSbbXci/yREPvpWEm2a3 FM4pb64vHn4cX1lkvm4zK/arXFTH4hQBQSAvO1iznxYWTYI8EIZC3j5Vc03jUneeJN9iv2Od NQD7ZXXJ4vlRNEd7u7nmyEBncH3spfgEz1a7nquxwiHrfrvJ63UOhl2cpxmDZUGpASlUm8nm HrI3LQtI2wFRQLlJVS7zDfW+ALNwc4nwABgMt86TEU5Jo0eAwO373tnT7lftG1THyRXuKcwW qGIEBtJhy8ZDVuCcsr7ePzknbtfaw5YMqybvlC/eTxm29uinjqSW7Owqlmr3lUElnbuUebg2 WhkGN3Jrwge9fP4itYhh6VyPFmQl+rAhZbKuQcjEzU46hbVpnOjtZ6JBuN7HzdJtJT5kHdb2 FY6VSWEAeCqlhpnNg1bxXaFJoOMuOe0wnpkDqgtJaclOFHdN7ENVuAzExjvTLGheFycFo54w pCjOdqOsGPtmfXehPv981+6qZ2XdRq7fA/tcHSFqnH0wctfMIQ8ZSbwxGlqSYZQ4WfRCOgtI 1BUjSWBIZbEs0DeQBCnv0es0Yi1rI2YyXUWmS8cR0vRn3hgTvwY5I+1Y57hyUAhhbc8OKwfJ tal0a3iNoA/sg/kGlDCVJ26lPRPzjdSLaUx7CbEs63DYO02V6jHQ3G4cX5akiTWijNN/nqQH D0YPzZHm9m+5U/2LRnVnbAyLzftkRb2eDzewdVRuLzrfR3eweKLWPP32wTDGskbn1TlhZBPy lqo2X0fezI6yUwdqO8CAH+KbeUhj/CkX0b4Otrxg4x8qFBuX00mEDz7TTLJiNNaT3Vf4jAdZ Ued1FvJ6jDp+lWXlMobRLcvErZCnGJ/6vWJvSmFfzb6tNoid7OCAiZU+Czqbg4ZHnMmZHVFS n1D4ofV5Rihq7jsgQg1BXwh+L/7qsLb2t03eMuwwzb0CraXdD2G9WAllPEhhn4k/vp2Oj0wb 3KRNlTtqZ/9G3CTvRyAmCs8GzNjS+enaq4ao1aWcKcNnRpVUraRGmxSdpZUhqhUxiji3ahms o2Gil9FY4Wg8Zastf0Wq98/rFVYkbaGdPDD5huB62IhBD1H6f91Ds0QxRCbpXq+ZOpWZLDer KYgMXawAPzXol61nc6NgwC5rEWTC+KUMsmokMk0dbX8jzALU3uC/TYxdMs+kbi8+3u4f9JHl 0CKRoSbNYm7JXtpRuO3cUy8hLfMGs3QQxiMvaLriWnm76RMMQo+fHzcNO3bOjzqUfACWSQOq 49yCNrY7v34hN3oChtIWXVYuZ4uAaGqWqPyInqIi1UIZEIqF35XuDweoQDVM5JotM5VXI8Bd RV7K51v6Rg7+v8kSbm8ROkqFX2Q1S7VSIAFCPg/6FAIMDOObPVxsflJtMaV8fFqNwCk6EBzm 6e/x6XBhthXy1W5iPG1vsz2IeLArFDW8kFSpHL5gQo4Wsx2eIHL0xY62Xxo06Voa7lWOAJPA z2lIAkRgQSybuxE+FJptkuauxntdRgYdOW/vBJJ7KHlmLLc5TOoNuhRv4nYL+j3tRbqp2nx1 N7L4NE/DusgP7OJh7k6Ub6uWrIm6gW9viPvbuNnkfGIYxmCNM27bZEQOX6/Kdn9DTh8NgWjU OpfB1eg22m1brVS0p/ujoe35p0VxCyRJsYJBLUABWjE7/0wF8ynNG5ze8EccMyltXNzGd9CI qiiq2y9rhW+SUsQ4wtngrNlZNFWpuh18T93fX7WrzGDgqvpuoLwk9w8/Duz+ZKUSsJYzcUHa 1MZwfD98Pp4u/oL1OFiO2uGZfwBNuhpz3UImGrz022pijUBOYMTmsLYcFigIRdpkZDVdZc2G zgRHcWrLevBTEg2GsYvbtnGJMN5pRoNDwM68SvdJk/Gws/rPeRJ2SvFwyIgUzFWihQciZ2di SO9NQa6N4UcPpPqv4/tpPp8sfvP/RdkYF1APYBTOeMaeMxvnzNidM+PNRbcFJ0kwUvCc+vE4 nLHGzOmDZIfj/19lx9LcNm+891d43Es7ky+1FTufc/ABAiEREV/mw5Z94Si2YmsSSxpJ7lf3 13cXIEiAWCrpJY52l3hjsYt9YBAz2ILPnwYxF4OYwVbbYZw9zJcBzJdPQ998uRzq6ZdPQ/3R mQ0GpupPyiyJJLJIcc3UVwOlno9cJ9s+kjZDIhUruKSFP7ve4e8NBXUpYuN7s2jAF/1WGwTt DGhT0LFzNgVlp7Xx3ky03aV9ZB0SOtzCIaFuTJFglsqrOncHRMEqFxYzjooRS3wwFyBVcAoO oluVp/2eKVyeslIyynrRktznMorcaymDmzIRkWaTlgBEhJnfJAltxZx3RJEyqSRl7nQ6L1lC fQuy1EwWdLJtpKnKCeWhDZolbgznWkGD6gS98CL5oPz5jicPdyRbHfy6fHzbofPFZotOY9YB OxPu8434G4SPmwo9/4jz25ybIi8knC4guMEXIMBNSZ+dvAKawFRihGMtvhr4q1N5HYQgLouc eY/CWzRKspRc01intOCVlndB3Vb33GUubSOwIfAhrojRFpSI8i7NqbcnWpKM2TpwyG4F/JMH IoH+oXCMwhIIcSDHM0fy8IiOoECYjqIxsx9u8WmQmxYZc57cKtD9kyuaGBZRKKKMTmNpeoM+ scSAFmyCV/8yIEcJdZQgvUsw+uRY4bjR3Odn9EMiekYcTXCqqzVqCWnlsxoKP0wy8DrjeS2D +fX5mY1Fl5uIuTd2CE+mLYrWc4CmkDSRRWIS7bfVnK5eF6cURciKsC5Cdu623kZfn+5fFufO 1+q2EZ9/kPze/RAExoBEsCzLmbTvp2xoPU7TEvMvxfQosuI+BlkfjTTu7kUi4A6VqAXLo3tV DkFicvWHJttfpxvfUovE9L/bw8y2wxbx9enPxfoJo2g/4D9Pm7/WH94Xrwv4tXjartYf9ovv Syhw9fRhtT4sn5Hdffi2/X6qOeBsuVsvf568LHZPS+Wb13HCJh/262b3frJarzBEavXfRRPb 265JWeJuAmU+SRN7TBGBpkTc4W0vbM3cUEzgAHIJrOTWZOUGPdz2NjNBn7+3+gNy2tTcV/Hd +/awOXnc7JYnm93Jy/LnVgVJO8TQlanzGocDHvlwWIAk0CctZlxmofNokYvwP1H7gQL6pLl9 TdLBSEL/5QjT8MGWsKHGz7LMp55lmV8CT2OCFKQINiXKbeCDH7R7DAWBwqOaTs5HV3EVeYik imigX5P6Q8xuVYZwijsWYo0ZeCalwTZpN5vVmL19+7l6/OPH8v3kUS3M591i+/Lurcfcfh6k gQVhJ8qZwjn3yAQP/NUDQKJEwXMKXMQjopvAo27F6PLy3MmDoY04b4cX9BJ/XByWTydirbqG jvp/rQ4vJ2y/3zyuFCpYHBb2dYkpmtPp5M2scop7mm9DENjY6AyOg3sV4OZvy6kszu3IP9NN cSNviY4KKA8Y2K3XzbHKZ/C6eVruvQnjY+5VwCeOqdxAh56AMmjyCUvTNKrEKKcuyRpkSjYi g/Yea8X8WCvg5FPvHHj7KRyehACUhrKKqeHGJNjeWIeL/Us71N4YxWQyDsMpY+bvijlOUB94 qylNjMRyf/DnNeefRtSuV4jhRsznJBcfR2wmRmNvqWi4z9CglvL8LJAT74spWb41Af0GxwH5 RLJB+nMWS9gIIsK//nESB+f2iwNmSzkyXgccXX6mwJfnxHkZsk8ERyJgeAE+Tv3z7y67VIG4 euGsti+OiarlCv5gAwwT2/tzk95NJDmZGmFyQBGLhMUCtHfK27mlQJ2zl0PKwl1SHATgVGIQ c064Fo0GOlF/f81HiU9Bk8ro3O/t9FwQzQQ1ctK7D9BTsnndYvCJI2y2bZ9E7mVww+IeUqKG qwvamaX96MiKB2Tor+uHogzM0slB9t68niRvr9+WO5PGhmo0SwpZ8yy33fFNf/KxyiVZeTUp DMmqNEbv7n6XFK53gvgUXpFfZVmKXKD/i610W6Jl3TwQZcvMP1ffdguQ0Xebt8NqTRx6mBuB 2kgqZ4LmaMbtjeiLRXVkmoBIL81flKSJflFQK8JYhR0jI9HBQI8N7wXhTT6I6/NjJMeqP8LD u452As/xLg8w3/DOX3biFjW6O5kkhGCOWPP0iOsSbxEUl3SIj12Deqq0EaaP8bCWlORmHb7s eXwNUxbHlkdHJkfElmyxWuI+Wsno7OIXFfHMVsLYraziBkYVDLp0ns5rniSXl3PKEcGijRks 3Sjy+RDgUl6KNCnnqiqKoGnJg/RFO0TfcEF+doNpq0M20HrEikQ/AhnRsQY0tdGPj3fY/uC3 2gBK+q8bgQ9fJZTp3aKS8bQUnFbWEa/d+kj+qPYKm4g55t+nkMorthC+SqEWWhylU8nr6Zye Zwvf94Jw6h9V0cB4GbfGlBdKKILz/fhY2B+EnDjsfBp19qntMrIswu4VXF3eZ4JEZtU4amiK atyQdR6EHWGZxTYV0Y355dmXmou8uV4XngtMNuPFFXps3CIWC6Mo/kR/twKtey22sxwovEos AJ9T18VyivfamdAOMOipYu762zMZExl9Vyr2/uT7ZneyXz2vdQji48vy8cdq/Wz5YaVBhTtC KtvB9ekjfLz/F34BZPWP5fvH7fK1vWzVNnPbcpE77jc+vrg+7X8t5mXO7HH0vvcoanVOXpx9 +dxSCvhPwPJ7ojHdHbwuDkQHPotk0VpjaKeL3xi2JvJ5SNiJZIL5sHOWTN2zCENcJMkmxsCy BcyifRNt/P9Bb0k42jfyNFZWCpokEskAFp/VqUoZ2XwlzQNbmoDFGos6qeIxtKEDawsTi/wy M65esrWV+qIE7qVzalhbMOchNgtU8GzOw6myg+Ri4jISXnMOEifJM/i5I43ADvX0W17Lsqqd Mwp0beerT6PWHNirGjHAGsT4ns7/7ZDQbE0RsPyuZzrRiDFpHwWccmyxiQcKt8JBQUBr7xc6 gqvuV3uLYPlsJ0EaW90nKnlAwQ/keVeTetCyaw8KihWqn72sCggNBAUHpamjt0q5sOm7OkGd IopXYKr8+QOCrf6r3/X86rMHU97wmU8rme1h1ABZHlOwMoQd4iEwtsovd8y/erBm+TXArkP1 1JGhLET0YJvwzO4jTKW5fho3SmM3kKuDYrH2Xhpz635YeZbesqjnJcgKfG0XuMAtPsmdM8cA q96stl2nNQg96GqHMyA8sPuB3v1pZnvZq3ZqBDCyqW0uVjhEYEwGGmv77AVxLAjyuqw/X8B2 c+thGPLkSjUOGKp1MVjNGJQNkDdyywxbTCM97tZ0ROnY/WUzGbNBowd8zasDYHwl6GIWU40z ibkE29+pDPC9RjiqctsMj87skd091fskRYy6grb4Octj1+kiHX9lU/rI806ybvaTc/RESIPO nbu1sxkJQkG3u9X68EOnrXhd7p99HwrlwDpTaYicI1GDOT5xQxrd0ZwIYgAXyg830E9GtqdY Amsb/X+nEZyeUWuw+nOQ4qaSory+aEe+EcG8Ei66JirjbdPOQESM9vUN7hOGD/oSfvYUhfck RiurxGO0U9ciz4HceTd5cJDbW7LVz+Ufh9VrI6rsFemjhu/8KZnkUIHyJr4GFfTK9ojIJSgi BQbDkK6RaE/X2lHh3NCHAuOv0XET5i2igl6bLSe48tCJZRGzklubvY9RzavTJLq32SOWMUlz WBSTKtEfsAhEYtz/Hd1tDJIYxgg4IVDWx3eCzdRDcjyr7IH+7aFUA68u+laPZmcEy29vz89o gZbr/WH3hhlE3ZfbGSpbIJTmVDBv0z7Xx7yBKf5zN6gWt2Ro81SUMcYBHKmkKdC11lfjglms hCuVVUNhL1RJ4LTNhtPhXIqgCOWEaonGBhLUX5GnvUbUVQIrDVib8xaiqTGN/HYIEGEHwlUw ZyTSEI1QDkmgckEBePBK8zpusxx+a4LdoUXfaFtV11D1uOe740vRFmavEOXzCdoPvnHRz0vn FIiE6kyi/c+UcpnKIk08bccpBs4GQZsRm+0asbG/HrWnR4X8k4zHCvFIVzQiAaEuFLZTky7i NvYhysiGPnV+jYDM6ZDZFp9NQV6d0iuxmQT1sKnyOKHkbb3a0aENxgx2BiwKWYLaqSQMUTge 5t4cekMU9vI7aMsh0p+km+3+wwnmmH/bavYSLtbPe3cdYJoIYG4pHRzj4DEqpxLXZy4Sz9u0 Kjsw6l8V6mklTLktQBbppBxEto5QNpmq4Xdomqad28ODNdQhhhiXrJiR83V3A9wfzoAgpVRm taN1LXYo7PHB1Y6ewNKf3pCPk7tPr9yhWBqNbYwfNgwlU2d1UNW4ix0nZyZEpu8r9K0Cegx0 HOYf++1qjV4E0JvXt8PyP0v4z/Lw+PHjx3/+7e9uaSh1V6WYC+LsKKAOHKtj+0J/O8gE8rtC xEV/vzahV0qcNrKvredhZBesJPRPrPvK992drnTAUbcd3IlTAq2kF4Gu647J8kis4/8zvG5H YSMrzuJ0AGUT4L9wThWgpMC60Nr24BjONKc1k63X6g99rDwtDosTPE8e8bLJ4QPNUEtSeW9O AsT2J6eY+itBuwWDkEaOozoN4DxmJUMJFTOPDmVGPdp4tx08h8FJSsnUFZS2lfLK2X1mU7tL xYibvKrV61/eEkLMLxcHEuViYhUxSKY0DUrgBZy4KVpF0vlIe1DXU6WlgDgpUzoW3e2zO0TA 67RMmnfSqNkADPObDCQ011UHAoOWvYNm8XP7sqCGmUVZiIr2lHHMsMCAdXTHWyumlqGIK5u3 9suzFcJyuT/glkJeyzf/Xu4Wz1aiWxXyb3dK5wBo8gSQXaOzBDhIMVdDo1fFq4vDbamZkZXR XC991K1UtuCvWtnoKLTfaYd47xAyaqQgC6IlrN6lQK8M23W9i/rDjyfI+4i+9QuwNAL78zjm JgbBE9ZBaOHprV7NdeYYIHPQCPCuF8cGGTf6GpCr9di8muoUAwSptsCSgpRXUJrN/jWDHEs9 4s7p2LtH+B9WGPoQ5bYBAA== --82I3+IH0IqGh5yIs--