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=-7.2 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, 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 5D69EC433E0 for ; Fri, 12 Jun 2020 22:15:48 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 26DED20789 for ; Fri, 12 Jun 2020 22:15:48 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726290AbgFLWPr (ORCPT ); Fri, 12 Jun 2020 18:15:47 -0400 Received: from mga12.intel.com ([192.55.52.136]:53015 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726302AbgFLWPq (ORCPT ); Fri, 12 Jun 2020 18:15:46 -0400 IronPort-SDR: QkuDNl9NIGIbu1V1se7Vzqsj+D4lG6970Ts/Nj/ZVOcOSZFnp+D9q5z5QotoeRdsIT/6zUmz3N QgQiPfQKJXUQ== X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by fmsmga106.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 12 Jun 2020 14:50:42 -0700 IronPort-SDR: 9QnW1ET4Uitpe77VPJ7q6de2WV0+KOBTAcHBuXsG5cV8xDFmcAxRE1DP7heMlta/Equ0VBBN9N ZkGfz7OufeTg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.73,504,1583222400"; d="gz'50?scan'50,208,50";a="260058109" Received: from lkp-server02.sh.intel.com (HELO de5642daf266) ([10.239.97.151]) by fmsmga007.fm.intel.com with ESMTP; 12 Jun 2020 14:50:40 -0700 Received: from kbuild by de5642daf266 with local (Exim 4.92) (envelope-from ) id 1jjrZQ-00007r-0C; Fri, 12 Jun 2020 21:50:40 +0000 Date: Sat, 13 Jun 2020 05:49:55 +0800 From: kernel test robot To: Brad Love , linux-media@vger.kernel.org Cc: kbuild-all@lists.01.org, Brad Love Subject: Re: [PATCH 1/3] mxl692: MaxLinear 692 ATSC demod-tuner driver Message-ID: <202006130511.My5DY4lL%lkp@intel.com> References: <20200612183937.10952-2-3126054018@nextdimension.cc> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ReaqsoxgOBHFXBhH" Content-Disposition: inline In-Reply-To: <20200612183937.10952-2-3126054018@nextdimension.cc> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-media-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-media@vger.kernel.org --ReaqsoxgOBHFXBhH Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Brad, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on linuxtv-media/master] [also build test WARNING on v5.7 next-20200612] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Brad-Love/MaxLinear-mxl692-demod-tuner-Hauppauge-usb-QuadHD/20200613-024056 base: git://linuxtv.org/media_tree.git master config: i386-randconfig-s002-20200612 (attached as .config) compiler: gcc-9 (Debian 9.3.0-13) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.1-250-g42323db3-dirty # save the attached .config to linux build tree make W=1 C=1 ARCH=i386 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> drivers/media/dvb-frontends/mxl692.c:223:27: sparse: sparse: invalid assignment: += >> drivers/media/dvb-frontends/mxl692.c:223:27: sparse: left side has type unsigned int >> drivers/media/dvb-frontends/mxl692.c:223:27: sparse: right side has type restricted __be32 drivers/media/dvb-frontends/mxl692.c:227:27: sparse: sparse: invalid assignment: += drivers/media/dvb-frontends/mxl692.c:227:27: sparse: left side has type unsigned int drivers/media/dvb-frontends/mxl692.c:227:27: sparse: right side has type restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:231:16: sparse: sparse: cast to restricted __be32 >> drivers/media/dvb-frontends/mxl692.c:249:14: sparse: sparse: incorrect type in assignment (different base types) @@ expected unsigned int [usertype] temp @@ got restricted __be32 [usertype] @@ >> drivers/media/dvb-frontends/mxl692.c:249:14: sparse: expected unsigned int [usertype] temp >> drivers/media/dvb-frontends/mxl692.c:249:14: sparse: got restricted __be32 [usertype] >> drivers/media/dvb-frontends/mxl692.c:293:44: sparse: sparse: incorrect type in assignment (different base types) @@ expected unsigned int [usertype] @@ got restricted __le32 [usertype] @@ >> drivers/media/dvb-frontends/mxl692.c:293:44: sparse: expected unsigned int [usertype] >> drivers/media/dvb-frontends/mxl692.c:293:44: sparse: got restricted __le32 [usertype] vim +223 drivers/media/dvb-frontends/mxl692.c 217 218 static u32 mxl692_checksum(u8 *buffer, u32 size) 219 { 220 u32 ix, remainder = 0, cur_cksum = 0; 221 222 for (ix = 0; ix < size / 4; ix++) > 223 cur_cksum += cpu_to_be32(*(u32 *)(buffer + 224 (ix * sizeof(u32)))); 225 remainder = size % 4; 226 if (remainder > 0) 227 cur_cksum += cpu_to_be32(*((u32 *)&buffer[size - remainder])); 228 229 cur_cksum ^= 0xDEADBEEF; 230 > 231 return be32_to_cpu(cur_cksum); 232 } 233 234 static int mxl692_validate_fw_header(const u8 *buffer, u32 buf_len) 235 { 236 int status = 0; 237 u32 ix, temp = 0; 238 u32 *local_buf = NULL; 239 240 if (buffer[0] != 0x4D || buffer[1] != 0x31 || 241 buffer[2] != 0x10 || buffer[3] != 0x02 || 242 buffer[4] != 0x40 || buffer[5] != 0x00 || 243 buffer[6] != 0x00 || buffer[7] != 0x80) { 244 status = -EINVAL; 245 goto err_finish; 246 } 247 248 local_buf = (u32 *)(buffer + 8); > 249 temp = cpu_to_be32(*(u32 *)local_buf); 250 251 if ((buf_len - 16) != (temp >> 8)) { 252 status = -EINVAL; 253 goto err_finish; 254 } 255 256 temp = 0; 257 for (ix = 16; ix < buf_len; ix++) 258 temp += buffer[ix]; 259 260 if ((u8)temp != buffer[11]) 261 status = -EINVAL; 262 err_finish: 263 if (status) 264 pr_err("%s failed! %d\n", __func__, status); 265 return status; 266 } 267 268 static int mxl692_write_fw_block(struct mxl692_dev *dev, const u8 *buffer, 269 u32 buf_len, u32 *index) 270 { 271 int status = 0; 272 u32 ix = 0, total_len = 0, addr = 0, chunk_len = 0, prevchunk_len = 0; 273 u8 local_buf[MXL_EAGLE_MAX_I2C_PACKET_SIZE] = {}, *plocal_buf = NULL; 274 int payload_max = MXL_EAGLE_MAX_I2C_PACKET_SIZE - MXL_EAGLE_I2C_MHEADER_SIZE; 275 276 ix = *index; 277 278 if (buffer[ix] == 0x53) { 279 total_len = buffer[ix + 1] << 16 | buffer[ix + 2] << 8 | buffer[ix + 3]; 280 total_len = (total_len + 3) & ~3; 281 addr = buffer[ix + 4] << 24 | buffer[ix + 5] << 16 | 282 buffer[ix + 6] << 8 | buffer[ix + 7]; 283 ix += MXL_EAGLE_FW_SEGMENT_HEADER_SIZE; 284 285 while ((total_len > 0) && (status == 0)) { 286 plocal_buf = local_buf; 287 chunk_len = (total_len < payload_max) ? 288 total_len : payload_max; 289 290 *plocal_buf++ = 0xFC; 291 *plocal_buf++ = chunk_len + sizeof(u32); 292 > 293 *(u32 *)plocal_buf = cpu_to_le32(addr + prevchunk_len); 294 plocal_buf += sizeof(u32); 295 296 memcpy(plocal_buf, &buffer[ix], chunk_len); 297 convert_endian(chunk_len, plocal_buf); 298 299 if (mxl692_i2c_write(dev, local_buf, 300 (chunk_len + MXL_EAGLE_I2C_MHEADER_SIZE)) < 0) { 301 status = -EREMOTEIO; 302 break; 303 } 304 305 prevchunk_len += chunk_len; 306 total_len -= chunk_len; 307 ix += chunk_len; 308 } 309 *index = ix; 310 } else { 311 status = -EINVAL; 312 } 313 314 if (status) 315 dev_err(&dev->i2c_client->dev, "err %d\n", status); 316 317 return status; 318 } 319 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --ReaqsoxgOBHFXBhH Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICPrw414AAy5jb25maWcAjFxLc9y2st7nV0w5m2SRHD1sxbm3tABBkIMMQTAAOZrRhqXI Y0cVS/LV4yQ+v/52A3wAZHN8UqlEg268G91fNxr8/rvvV+z15fH+5uXu9ubz56+rT4eHw9PN y+HD6uPd58P/rlK9KnW9Eqmsfwbm4u7h9Z9/3Z2/v1i9+/mXn09+ero9W20OTw+Hzyv++PDx 7tMr1L57fPju++/g3++h8P4LNPT0P6tPt7c//br6IT38cXfzsPr153OofXr+o/8LeLkuM5m3 nLfStjnnl1/7IvjRboWxUpeXv56cn5z0hCIdys/O3564f4Z2ClbmA/kkaJ6zsi1kuRk7gMI1 sy2zqs11rUmCLKGOmJGumClbxfaJaJtSlrKWrJDXIh0Zpfm9vdIm6C5pZJHWUom2ZkkhWqtN PVLrtREshf4yDf8BFotV3WLmbnM+r54PL69fxiXDbltRbltmYE2kkvXl+RmufTdSrSoJ3dTC 1qu759XD4wu2MCyi5qzo1+nNG6q4ZU24Km78rWVFHfCv2Va0G2FKUbT5taxG9pCSAOWMJhXX itGU3fVSDb1EeAuEYQGCUYXzn9Ld2I4x4AiP0XfXx2trYvWjEXdlqchYU9TtWtu6ZEpcvvnh 4fHh8OOw1vaKBetr93YrKz4rwP/zughXotJW7lr1eyMaQY6VG21tq4TSZt+yumZ8TfI1VhQy IUmsAV1BzNRtEDN87TlwcKwoetGGU7J6fv3j+evzy+F+FO1clMJI7g5RZXQSHMCQZNf6iqaI LBO8lth1lsFBtZs5XyXKVJbupNKNKJkbVuP5CMTNpECysBetERZaiE98qhWTJVXWrqUwuA77 hc5YbWCTYG3gBNba0FzYp9m6QbVKpyLuKdOGi7RTJTC1QDYqZqzopjrsWdhyKpImz2y8t4eH D6vHj5NdGlWt5hurG+gT9GHN16kOenRbHrKgugr0aEDZgu5MWS3agtm65XteEPvtFOd2FJ8J 2bUntqKs7VFimxjNUg4dHWdTsGMs/a0h+ZS2bVPhkHs5ru/uD0/PlCivr0HQjNSp5OHSlxop Mi0EcWYcMeRey3yNe+9WwdCbNBtC31plhFBVDa06QzZqha58q4umrJnZk+e64yJG2dfnGqr3 C8Gr5l/1zfNfqxcYzuoGhvb8cvPyvLq5vX18fXi5e/g0Lk0t+aaFCi3jrg0vsUPPKJVu10cy OULL107ohVGswFFZ2xhazyU2RX3CgQVbrUkmNL22ZrWl18NKcvn/i4kPsg9TllYXvW5xC2d4 s7Jz8alhkVugjVIIP1qxA5kKJNNGHK6OnVWCORUFwgIVajSklAIW0IqcJ4UMBR5pGSt145DF rLAtBMsuTy/GxXGNaZ7gFMlVimc56K6N/yPQZptByDQPi9eg2eAEXN6PgAWRSQa2QGb15dlJ WI4LrdguoJ+ejdIry3oDcCYTkzZOzyPb1ZS2w2tOzpyS6DfN3v55+PAKOHf18XDz8vp0eHbF 3WQJaqQdr1hZtwlqTmi3KRWr2rpI2qxo7DrQlLnRTWXDkwGGmtNnISk2XQXazjuSn8kxhkqm tPR3dJMuQKKOnoEEXgtDs1SAIhYOV1c9FVvJF5CK54BGFs9vPwdhsmP0pDpKdvaQZEBsBvYU lAhdfy34ptIgXaixwZLTE/HShAh7ebvA2mUWRgI6DTBBvGX9iRMFCxAF7j+snjO2JsQm+Jsp aM3b3ADBm3QC3KFggtehJIbpUBCic0fXk98RFk+0RkOBfxOTAKdKV6DqwYNCDOO2ToM2L3lk sKZsFv4gWhvwb3SKZXp6EWFl4AE9ykXlwBSsDheTOhW31QZGA4oahxOscpWNP6a6eNKTAkgv QeJNOBObixpBadvhGXoWuFtTvJOtWZmG+Mhje48LglKn3aa/21LJ0J+LzK0oMtihBWmdLAUx 3oQBvsyaaKxNLXaTn6BagqWrdMhvZV6yIgvE1k3LFYzDRHyWUUfBrkEvBgBUBhIpdduYCBGz dCthxN0C28nWO/2Mu+Zcsixtr4IDAt0kzBgpApC+wUb2ys5L2mj/hlK3Xnh60UuJRGu+6cFA JgAbYxHjcKBmyd0mBmfRigjzO73mSoklhJZEmoZhDH8QoPt2ANeBUJyevA1bccavCwtVh6eP j0/3Nw+3h5X49+EBoBADs8gRDAFOHRHOQuN+nI4I02+3ynlGJKj4L3sc294q36GHrjNA3asb rSoGBtpsaOVcMNoTtkWTUOJZ6CSQdagNO2dy0fv9kX5YN1kGkKNiQB9cQlpL1EK14IowDHrJ TPKJxwoAKpNFJPpO1zkL5Ve8W8Y4zNQz795ftOeBLXA+ZpvuwQqCK5RN9CZwh0bH1qbhTr+m goO7GhwYwI8VQEin5+vLN4fPH8/PfsIIYxiK2oDta21TVVGoDPAY37iO5zSlmskRUYirTAlG TXq/7vL9MTrbIaIlGXqB+EY7EVvU3OBvW9amoT3tCV4lR62yfW+M2izl8yqgKWRi0HtOYygw 6AdEwahodhSNAQzBsKhw1pTgAOGBE9JWOQhSPdELgOM80PJenBHBlJxP0ZOcXoGmDPr36yYM wkZ8Tt5JNj8emQhT+ugH2D0rk2I6ZNtYjOsskR3kdksHruK6ATNcJLMWnEjZXgPBkNwJjIQc jkRrVbVUtXFBq8AYZGCjBTPFnmPgJjRTVe69iwI0EpihwT/pAs2W4dagwOP6C+4jQ07RVk+P t4fn58en1cvXL97lDLyQrplrcPpjWYuGjVPJBKvBYfa4NtRCSFSVixyRii7XRZpJS4cKjajB uoNgkVRs2ssl4DBTLPIkMofxLpLFrobNRgEigEnECcoO462VpXU9sjA1tnPMBZHaZq1KJKGO sZlBCLpwasZk0RgxXVgQIGkkPRrvG2glQT8CaofDj8paUAZgvYezA0gG4HDeiNB5h31jW2ki u9KXHfFuBhZbydIF6ajwNVjQSXc+3lc1GNICyS3qDtuNDW9pQcG2/FGbRh+nIzoSDJqy9l76 6DK/fX9hd2T7SKIJ744QassXaUot9HSx1CDoLPASlJTfIB+n0+LfU9/S1M3CkDa/LJS/p8u5 aaymT4wSGQAToUuaeiVLvpYVXxhIRz6nML8Cu1ZG+5wLwBn57pRuy1HbYmF7+N7I3eIibyXj 5y19VeSICwuGeHyhFqA6ypdC/dDZ91hVOy1Q4hS84fYBq4uQpThdpgFUyEuFwDf0UEf1iH4G 19U+pgHUkapRTl9ngPqK/eXbkO4OL3jTygbwTjJQcGhZ2sgXR/6t2s1szghWMTaLvr0owNgF UTDoHDSrH+i82O1chFN7Cmj1eeF6n4cYeWgFloY1Zk4AsFlaJQBkU100ipPl12umd+Ft0LoS XotFwYBUUaakdIjIttAzYKJE5NDQGU3EW6j3U1LvVUwJY4G3MlbFnocrVHxBKt31cMuqmWDq vjAyckYYwPk+WpMYvRGljwThFdpCD4rPTCUUYYS2EDnj9CVFx+WlY7nhWBjciSi5xPOgJk6M 48Z7NLsGkDMnyfI3L54eiQWe5/3jw93L41N00RG4uP1JK2Mvfc5hWFUco3O8oojvcwIeh2X0 1TQE23l6C+ON19MvN5zWBZuFPKcXCXnp60WiKvA/Ioyc1RrUUsLG8L18v4lX1wiUEMDL05i3 5KAcQPUtC4ClAFKHNGUURCo13qgBQKMQlae8DTyxrbJVAWDsPAqYjaUYliSH1bOc0VhrJH+z hVMa7sDp11kGftjlyT/8JE6F6SYyPU28YuhQ1NLWklOn0CG5DIAwVAbdwggny/kEy2Snu3v8 i9fUgSTLAgWr6CEtXv424vIkvuus6iNuA8bXwTHQFiNdpnHx24WN99fleMFzdXnxNjK8a3BK G38FR+GK2kQ6Gn+jLyZreU3icOwNvP7JSoBBteDh4XFHmxzJoGMABZ7qZa/FKlYtdAZocOLH eb1Q251bcpSL6dZPOWg8RnDiNQXJKzLKdlnBMQgSdr++bk9PTqjjdt2evTuZsJ7HrJNW6GYu oZnAqxA7QQN0bphdt2mjqJWt1nsr0cTBCTF4qE67MxX4tS4ah2J/rL6DWlD/LD6Suq6KxiGE IOQL+g4dFxWSoxXx7lFIPRaw3KaW3iyuUhfpgQ4pIwk7LbN9W6R1EIEebcaRaEMk814l9Ke/ G/RgKR//PjytwPLcfDrcHx5eXDuMV3L1+AXzB4PIRRfJCQIXXWinu1yMUEtHshtZuSA4LT1j +IjaOtXaQojgUPUlccgESvE4zHmv2EY4h5ku7VL0TkNhiug5BbqqSH9Xau65jyReRC7v1e8e ArTO+3IwpwOFS0p/CF3gjgSqbParBwfuGMDMtN4002CYAj1ed7cpWKUKo5eupAte+0E6OGOD gO6oKJHXTTsnVa9vq+LGD2faSbdPcXPoaGR2DpFCHiO2rd4KY2Qqwnhi3JLgVOpUyMGm805Y DZZvPy1t6jp0SlxhFnu3rqxm9N29XycQpaWBOAfOCBALayf9jI7XgCtpskxnKzwQZyOVFena OFqsCue747tjeW5A1OjLD78aPu+HiFx3i4XKqKlyw9LpwKc0QuKWF7riKFuaPEtusTX4kqBt zaTTft5STx0mL64JHQTzdReyNnyHja21Ar1br/URNiPSBpMEMZPxihlEAcWeMqjDwWWVCI5/ XN7dKMddIIEcQFrVGeWWROdpV4OzRwcC8cZJVyAQcgG69CsPf5Pn0aE0NbjgvfXIgvk5rxB4 0CoHWwd6+D7oBxjAvoML52Imvf2hx4RKW3dmcZHD5YSlRxhSCY4A27dJwUryhKNdKgDott29 Xp+Ot8qeDv/3eni4/bp6vr357B3TMBvH6QTST6RrDw3LD58PQQZ/N4NQHPqyNtfbtmBpSmrb iEuJsllsohYLyCZk6oPPpFB7Uh+oDgHOMKMg0u9Q8Hxbekj0TTDjlip5fe4LVj+A2lgdXm5/ /jHcBNQluUaXZiH5AslK+Z9HWFJpBCdTNR2ZlYHNwSLsMS7xLcRlfccREIFyXiZnJ7Dmvzdy 4Yoc7zmThjqI3Q0oBo3CZqF44UIEgTRJ0kVF4SbA38F9Zynqd+9OToM4hIXfJ8H5VmlbJrEW wAycJJSQhY30m3z3cPP0dSXuXz/fTIBsB8tdhHBsa8YfK1hQ5XhRrJVL+XddZHdP93/fPB1W 6dPdv6MUCpEGMBl+dL5fV5BJo5ymB0jumwvWm1sw00lGBx+yq5ZnXSrSwg2gzgsx9EBllGRy uPjsJ1IfPj3drD720/ngphMmTi4w9OTZQkRLt9kG8Sa8DGrwaU6fFRFdO4EhMjSyAPSw3b07 DYK6eBe7ZqdtKadlZ+8ufGn0WOfm6fbPu5fDLXpIP304fIGxo4qYuTneHY2jgT1GmMRmtc/l oJbZzbynjw31JWimp1ZvM9xRDx38Bk4xqOmEjKHqqp7eandNAISYJYLMbsDdCEdPpCmdh4wp kByx3jxw4t4b1bJsk/jdywZvlqnGJawh5mAQiQobssJiS8RUw2ao+Tp61pQ+28XJVRcknrwf 2Yo4C29MN3MtrsGVmhBRTyKalHmjG+J1A3in3vj5dx8EEs7Ao0LXvsv9nDNY0YfrFojeLrSK TR94+ZH7t2s+26e9Wkswm3J2OYy5F3bIHKpd+qOrMeE7P0tkjSqsnW4jPshTOu2ep013B3Ah HFuMAmC6RCdXnYWJ+HxGHLlx+JRusaL3r8OS9VWbwNR9uu+EpuQOpHskWzfACZNDjyCGjSnb UsMmRUmF0+Q7QnIQxmP4wGUs+/wQV4NqhOi/z68z3aJhWIza4VEzHKcSGY1KNS14cOCmdQ4X xm9IMr4eoFg6SfQnx2fsc1Xt+DqfbpAv9bdUC7RUNwtpQfh2zj+T6p9FElPtQptdWlTgQyyU BzVxgQuQhglxltzTG4YuASgi9494+l4X6k4qwTHT5XSx/MRlvQYV6zff5ZrMtOr8Fc5U0DUK kpomjfY6rcTbAlT5mG6FNxbU2iMN20B7aqZqFY58f+8gOKY4BtKj0wYjUGgvMIHZCCoS4Cgu 0h7luI3DjHIApzZrB9qIVK1xrfexuOlq3+vFOkwv5gVmZCWw3oCY0oCg8XGtzDtX8nxGYBNT MsBK1Ja4Q5TqrsFA1P1rU3O1C0VkkTSt7heZrE6RxmUFV704P+tD5rHKHsw82J3Ibg9oBNVa mKe7eFfVJUGDi83NvhpuZXOutz/9cfN8+LD6y2cIf3l6/Hg39YCRrVuGYx04th5OTWLjx3qK VgWftCOykyWZefsNzNg3ZWDdMZc+PKsundxikvT46L3bHCvzPs12em7C5e64fX5voRmZbuN5 mhLp09a6qgMxbLk32XQaTDdOw4eH56T3Ps5n1nU3xxDcBBQWZ6IFFIT0R8fkec7OFpKnYq53 CxlMEdf5+7dH54Y8kecRkEAQ15dvnv+8AYY3sw5QI+Drx2OD8CEiJa3Fp8/DU6ZWKhf5J0bW lHBKQQPtVaJDRdarXvfacHoDkHT5d8NPwHroahrxe5w22D9YSmxOFhYymZdjXCY3st6Hu9oT MeOVkl33NK67AXNm3kxrXyVU7MS36/MTpzVwYXTFImH191w3Ty93eGpX9dcvYT4u9FxLDzXT LT5wCo0KeIHlyBHHVSNSyxvFSjpWMmUVwuodpdkmfJLbYz2ydOGGI2Zz0V2AHYuzao203MVm xq7kbqTTQR6bfYMDfIqc0Tw9R82MjFa3F2TG6UVXNtX2aJtFqqgWsdiJTGAvc7LvpnCv/gmK bUqqeMNAkdPDxVDL8UXCL0RcvP8GU3BGKK4+9jkR8PC0qN8xPhgfW3eP6T/5oMeHscHBgEpS ++yzFEBT/NWVgLjZJ/HJ7QlJRgex4/7Gc4hvZsJQThmEB/GbLv5RRAXouCljbTa5K/WhOqOC T1E48+wrg8Trq+gayFxZACsLRAd6FmgDZHIf8kjHDO2RZZkyrWyu6Kqz8hEN9o/L2kRk/dVH /BGKgNclELRXhlVVOIfx8t4Jg/jncPv6cvPH54P78NDKpaW9BGKRyDJTNSL4sQ34EcfLOibL jazqWTEYOz4mnGHNzssdRGRpFG6I6nD/+PR1pcYw/zxV4VjCU59JBQq7YREOGdOoPI1QMF3l uLXWZQD7euEHYYbmXHpXoIK9FyWUs8pd7VkkJ8OPb+RN/M4R5xN+qmDoCnPSqtq157JKg+Qq 55jwRf3iktaMwMNDJ/ETn13hLvzVTt7hJOAVhIjPPxLQeOUQKEwbrF7/iR3nuflPfKTm8u3J rxf02Z494YhXZla+vqo0LFfZ54cGV4aUJ0zdhRWC+WSx8MzA9OMgKHcvegKdzRYTQwZaZqP6 7r2WvfylL7ruehgadQUDqNRmWD34PwgENfrFKv55+Lebfv+WzpQ/0jCNzI9VWNPpQYtVrm1N Acol/ss3n//z+Cbmuq60LsYGkyadL8eE5zwDx//IQCfsdv5Adpn98s1//nj98GbaZN8YiXVc A6MEzeYwG+/QtB9ZeBj6R29wDCtaCfS1nC4be+1j3u5KqY/4R2gg7Z/NYjh9s/TNGLBJLkt/ 8TMvOX4hQpR8rZghr9t7S1fVwselWBQSWLYafQulGCIV5eHl78env+4ePgW2JVCYfCMozwRQ ShB2wV9gAqN8MVeWSkYvQl0sPIbLjHLGnaTCuNuNWMjDT6vW4keUSE9S+imPe1X5ryPg15jo ++Nq8JJa95CAuqsDpqoMVKP/3aZrXk06w2KXbLnUGTIYZmg6zltWC9+S88Tc4Ctc1VDuludo 66YsRYwC9uDOgfssF74n4ituazqlBqmZbo7Rxm7pDnBb/p+za2luHEfS9/0VjjlMdEdMbUvU w9ShDhRJSSjzVQQl0XVhuGx3t2Oq7Arbtdvz7zcT4AMAM6mOPVS3hUzijURmIvGhCejLeYoW S6bHdNVQAjKjPTTXTMQJ6SRVYdEl29kfo4KfwIqjDM4XOJAK44JecHraYunw576fbURzep7w uDV1q05mdvSP/7j/+fXp/h927mm0kiT0CYzs2p6mp3U719F9SkPUKCYNhYJB/E3ERARi69dT Q7ueHNs1Mbh2HVJR0C4vRXXmrEmSohq1GtKadUn1vSJnEejxSnmtbot49LWeaRNVRUlTJC34 JrMSFKPqfZ4u4/26Sc6XylNssHvQuoYe5iKZzigtYO5wSxvBRfHYyd2gRjzF4VadD8Bml7q7 rcmsj65I6raYIIJ4iUKmnhiOHTICt2QwpmCY6E4DU4hMTzymhG0pIlLL1oeJKBqkpUe3SWRm pyTIGn/mzT+T5CgOs5jexpIkpLXaoAoSeuxqb0VnFRQ06EhxyLni10l+LgLaGBNxHGObVrQW jf3Bg4VFIYVzEmV40g024wnMfEPn28LwBcrtSbv4ijg7ybOoGOjRE6FXmPVEaF9+H0gLZvPD FmYMhMFB8hqQrmkU041BjmSBuKMox6e4slBSQrIsDGOt3Cm0QnMfre3LcS1mGWZYlIKJkRx4 wiSQUlCSVm2oCJgnbxsbnGn72dJaEKfoE3n3T2kdeMig7zvYKu7V++Pbu3MAp2p9U4Fqz/ZS VOawh+aZcALBe3V7lL1DMFVrY4CDtAwirr+YJbOlV1mwg44rOcm1a25C6rLhWZRxosOfhoJ3 e1yS1rmU7q+O8Pz4+PB29f5y9fUR2ol+qwf0WV3BbqMYDK9qm4KWjjo9UniICurFuIZyFpBK y+jdjSDP4nBUNoUrOzdTuHlhIBjEvbg4NByucLaju7SQsJsx8dJKL93RNGrD7SQXws7YrhdY M1A9jQ/WZ4FuH7wYQmQRV4cK7exWILmhBO2q6RZF9Pg/T/dEPKdmFvbeFDvBsSav5W53f7QA xA50l1AeODo6F6mBLFIrG5VCgVX1NHX2I6E+9IBZbOhj+1vMAxQgywg2OK0YqOhlUr4iRcUt u70yhYyCNz4qEtsLSegLxaXc3j9w8xU5vQkgDWQ2TwtoSa2KbAOyBoHWBo5icLIrPTDt/uX5 /fXlG0KSPvSTrp2Kb09/PJ8xqhYZwxf4Q/788ePl9d2MzJ1i097yl6+Q79M3JD+y2UxwaUl3 9/CIl9MVeag0ohuP8rrM259Z0T3Q9078/PDj5en53Q3Nj7NIRfDRB2Hmh31Wb//79H7/J93f 9oQ6t6pE5V5XNfLncxtmQxiYeJ9FmIYisFxuKkUFdjShoFY95qBd520zPtzfvT5cfX19evjj 0ar4LeJk0DM2Wl97G1rV9L3ZhtaDy6AQzjY8xFI/3bcC8iof+8aOOj7oECcFKY9B9arSwj64 79JAoThmlAYDe2UWBYkVaQe2uCqpD6ZXryF8dEPzv73AbHwdJPnurHrcOgHrkpSbMkLgYeNo q67KoC/EQGkdvlLRmrrB1qZEMcBWlSQYa0Z2+/AJFTkyMHV74jgAv21u7xRVwSUYhGGdsvX9 jkEUUSlOjCHZMsSnkrHPNQM+aNFmA4YGRh9S7hpkCtSRZcuq3xHozwF7/DxErjtWOfPMAJJP xwQB47YiEZUwg67KeG+do+nfjfDCUZo0o4nbtDQV+VCh7mPzNQIM/VYRkWqa7FzcGJgpcRZq Vzd9RYlZQf29pAelgVhLKj0I99KOdQOm+8TQ33JQqMKRat71ZEbOq7SKhrbDDzViiOvtxM/8 uHt9swMFKowGvVbxCdKUcEgwgxeYUvEGpAKh6TIgSDrcHY/4dCDThzmbgbrJoOIbbXiHMSPG grqXLYl4iq7Bqh+O8Cfslhi8oNFMq9e75zd9ZegqufvPqGe2yQ0sIKdZuhHjpKY05t+uSoYf 2ehXU55t5yykMSZD1Di0Tq5KRLDsc5WpXSZWK88Lp+7qVNJK6QNTEKhIWdidGC6D9LcyT3/b fbt7g+3yz6cf1Lar5gmJW4GUT3EUh46swHQQCL0IcbNCp4byxzoRjgYXLu1tkN2ArRVVh8aI NSGo3iR1aVOxfDEn0jx3OqpUvNIIuwxTTdWYFAwhZ3FiOmyLwTj1WAlnDGEUnIQ8dTst2MqY UagmBlFrmHc/fqA53yYqw1dx3d0jQMVopHM0E+vuqJEbHwTuSEczTSe2odZ2F3e0DijEt8F3 TJYkNl6iMgk4qGpMP3p2pfX1RKaqMD7X61p3qpEswkNN9HQst17JQMyo/rnxZ8t6ikOGWw/j TmwvmcEAxu774ze7NslyOdvXbmX0hdoTXmOgNwvVO0mAWPXk5Lg0+PpVhsdvv39AZfnu6fnx 4QrybDctThoUabhazZnWYZyYar3bmJ7QnEtRxRp/mT5gstm5E0i11sND4S1unFBiczRk5a2c FScTvebsRh1GnWiWU0VTZLU9eKkd96ANxae3f3/Inz+E2OucA0O1Nw/3i6GeW4QHBflYNenH +XKcWqkQou7ljIsjaFcX9oIsyMiIdZyfeCksDkM0tg4BaF3Z3u0sggX2JwbhU8m4c+OWaC+a QowYVP8lRRSVV//U//fAykqvvutYgQeqFxWbPdqf1Rtxw17U9tnljP/LrV9euv3QJqtAwaU6 XgItiAGpLdrdRP3leBw4rimYXiz/uGXAN4GmoG5HmmnLkO+IwXdxaPQFLxswnEtoCguco0sF 20qQkXrDZ2C+7XLqW3yb7ageg5r+njDeW2JQ+/71hhINHcfc85fjtmR5254u3QyYUNESyrJK wQQEm3RwAby+vL/cv3wz49ezwoYDasPurbOBNhI/OyYJ/qDd6C0T+ZRDGDk7GTREMNB/XUbo CZQSJZsoFl5N+7O/cEKvy+VIgwJ25AQU1FHbVaoKJ9RPYfkuXV1LytW338dFRuWWliN9P16g y9qfqDJuDaMaI9qYruyATm/S1AmBioscrDwcEzyoCaMTg3RSBQowCb3gkxW+1OBS2sOnT5BO aWz5Et1eQjp5GgCEhjlFUDTQ4Pbu2Wl3fGQWqtXPp7d7ymwOopW3qpuoyOnzoeiYprdo3dPO sW2Kt5uZo90gqxj9rBK7lH+1RYRys/DkckbpNnEWJjm+lIYy7STC2DKmD0UjEvpgLCgiufFn XsDFE8nE28xmiwmiR+m2YBFI2GxA+U08UH8NQ7ElbA/z62sLGK+jqCptZlTc1SEN14uVYVFF cr72LduowKuKB9KxD/tVBV0DqkGxIBz7khMnptt49AJrz1Xjwxx1I6Mdg1VYnIogE1RQZ+ip Xeu7/RtmGdQoKBtvrjpQx9jHBar3g+u8mwAqHVattzRHfkimQxBa+gQab8uRBvXav15RU08z bBZhbQU/9el1vaTjiloOsJkaf3MoYgbSvWWL4/lstiQXttMphpjbXs9noyXV4pb8dfd2JZ7f 3l9/flfvy7z9efcK+uk7OmUwn6tvoK9ePYCIePqBf5oCokILmqzL/yPf8RJIhFyg55FSgzB0 R4G+Fok50lovSxmwrp7aMHJ1YKhqmuOkXeWnlDiOEs9gM16lMLn/efX6+E29Pf02lu4n2Fk5 b+RUFv1UCw+WLoaXQaBDQoRJYFRWxVIi9ulljqOkT60PAdj2QRPQb0Vae4h1kCusJ12j/n3R 4tvj3dsj5ALG1su9miXKB/jb08Mj/vvv17d3ZQz/+fjtx29Pz7+/XL08X6HKpJR/Q4FDMMN6 B5u083wsJGM8YWZCRGAibOo2RlN/CROIMqioM2kk7S1vqE5pptj7ksblhJLUm+LkRlCR6uaX hh/LSkZrfZsjagBCtUiyWKhPzLRcoXyRiwL7EaFNRB6STlAFJlnmob5NqpcCDBM6MYCrm7+/ ff35x+9Pf7kD1z0KMGoT8UZdp3um0Xo5G3+h02GTOnS3UKl2grpPHiQbVX6jlm2XRVvhSW0P Hadrj76G3WuEX1zc3xFLEIdrTu3veRIxX9W0ZtLzpNH18lI+lRA1E3No9u90LlUpdkk8zRPK 1cqbbjiyLP4GC72dWyz0ptuxHIpqsZ5m+aRg2pnAqc5cCeccmFs/naF7JxlE5c+v6cNkg8Wb Tw+1YpkuKJP+9XI+3XVFFHozmHoNd2FnxJjF5+kuOp1vaOW65xAidW6QETwwphe6QCbhZhZf GNWqTEFpn2Q5icD3wvrCuqlCfx3OZuPQNgQH6Fx8I0VVIQfAdmUcoAYC94vKfAgYuYwbiviN /e4VpjiSVxXblqdxrX8BJevf/7p6v/vx+K+rMPoASuKvlGCTpNviUGpiRe1XTDRp/xETNdeR Q8r9rhrVW3JmqYoSoms1oKFTFEOS7/f2Q/GYKkMM1MXDc6ujqk4dfXPGBl17ejT+41RgF2oC 7RtU4IPqvyMmK3uE42sH2/4YKYnYwv/4AmRZUHXoPM1Ow5zeOatn2SxNRlG4uHxNVYe+PGqi Hpp6v11o/mmm5SWmbVZ7Ezzb2JsgtnNzcW5g7dZqYfElHQoWnxOokMeGEwAdw+RIBRiBNEEO wunqBSK8nqwAMmwuMGy4vV9LodNkC9LTMZ0YqaiowESjvSq6fLx/BBNngqMMU0aQaFkA9fOY szWw2JXghN2HC7bueSbM+55nuitAWbjE4E0v3DQoq+LzRH8ed/IQTs7XSuTM09pq5RwlCEBG PdWVvC2ZR15bKl3/1vAtTtMrV2ZTZUdpvZhv5hPt2+nIXv7wBZn2EeON7cTvxLeimJLc+BrK xGQGekC/+aG34iIYbRcipZzvmvRFFE1cFNYr3j1BYuBZWJWjHGXFKNiaepuuFqEPgo/WJRXT ZzVH8GSFVoFapuCSnI7CxWb118TSxrpsrumbOIojk8VioqLn6Hq+mWgtH9qsByS9IF+L1J+R rmRrs+yOr5xY1CY4BPOVZ4UEtJR2GhMZtwyZyD4FWsH77pD04IyS9cAixLOrMkTOYjD1AEcB Hb6k/RYm5GG3kaZ2EFikYgs1MieZg3p7NzDCQ9NIbcKGxd6mzEc88zHTcrW22PStx6A6WKkq hP/WPJtXEZ6mzqrfEOQwJVpyq3ZKF+yo99CkHYgvRTPLi/iHTVQmOxUpOWJvw9gQC2sflyoE n4YTwEwEHpojOsfQ8EhdMAA7qVKvoyAikF3KEZ+wFgV5IxjIGm/Q/kRmQSEP5MMQQFVwm2CF nAQC3TmRCJgjdiy5BIGo4kxGHAM9Lt36K7RJmjkV6Ply+PGdPYwfVqBw9Hc4zawe/BKX7uD0 047OQr9U7YznkTkkwVFQsdd0XrskuIlvrQphIE7l5q8T2yCdpgQNXV2Hkgyg/vCFczZjDLSK 27dKxu5TgySd0nvEOrIwfQDJn+PtjtJB09F+wziOr+aLzfLql93T6+MZ/v1KOeN2oozxohmd d0tsslzSoamTxRiyLgihlTm+raUCrilzLosr/bCy4XDN2pZbHsg8i7ibyuoglaRgM/ZHzoaI Pysg+AlUC+6MGPEJYi5YKgjxYjBtDBYs6VRzFPSYMpeitqBTHiNan91zMWVBKJnDRWgX/CVz 5hJddaQrCOnNSQ1amUswv5mjHy4GIEtSDsKvdG9QdwFn769PX3/i6Y7UF2ECAyfViunrbin9 zU/6QyKEn9bgJMaYg8yJ8rJZhLn9BpfWMEC7YFS1gcGnb8Kc8pLTSqvb4pCT8DtGjYIoKDTE 4tB3OklFo+4E+RKDmQFsltZ6i6v5Ys6hlnQfJWB/4/5zsJTsRIQ5GeBvfVrFLp5lzNk+7Wll JS81Ig2+mBhhFsl+aTGN/Pl8zoalFDjvGMW600DTkFuw+HRIvd9eqi1In6wy1WKTWIZ0Os7L 3IblrBIOSyChj1CQwDwrBBRuDC5NhiPoDpb9plOabOv7pM1nfLwt8yByVtV2SS+mbZiiRKRV A/R80U5TbnJVYp9njEccMmOMJ/VOHcZXcB9y9+CHBofOE2PbjLIojG/wg8x+CxlkORWjYn10 EseUnEugNCagRVgXzXVSU9ETpyfT/dWT6YEbyCcqNNOsGdjNVr1c0UB8osADbQi8ugHVmFEh MxI/y8gwssWphi5KBIVrZH7V3vEeCko8OtpRHrPIvcM8zg9fpI0taNxt7F2se/wlPJhvwRqk 3fGTqOSR2L526enT3L+wyvXzPmTOh2NwNp+FM0jC91Z1TZPa19uHoaYdRJg8c/lmTBjKnvbQ QfqJgU+quU9cOT5QlmzptKD5lF4Y6zQoT7GDS35KOTAKecOc9cmbW+9CQVBKkOXWtEqTetlw LuCkXvGmCFDleZK8O1+ojwhLexLcSN9f0TJIkyBb+q7Zjfzi+8tRoA5daN4uE0POhJ7/aU17 9YBYe0ug0mTo0uvl4sL6UaXKOKXXSXpbWoE1+Hs+Y8Z5FwdJdqG4LKjawgZBppNoTVz6C5+M xDTzjCsMWLeUN+kxs/RUk2hLdnZlnuUpLVQyu+4C9Kq4de6k6KBxFYFxDv5iMyOkXVBzKkQW ezes/7z9unDtEqLmJxEJaz9SrxFEMekCMT7Mb4Rd30PDySB82PPCvqihIqGf9iKzX3c4gLoM 85/M+DbGe9s70gNrZh5nEh9RIYeu9cMaJX5OggV3Gvc5YTU0yLOOs4YjfyZdcWZFjhjdl1rK 5ecQg0E5LLYyvTi8ZWQ1rVzPlhfWTRmjHWMpBwFjovvzxYY5TkZSldOLrfTn682lSmR4HkgO WIlwWiVJkkEK+ood6Iw7o2tAEV/G5tNaJiFPwDCFf5ZCKxmPC6QjckF4yRCWIrHfR5bhxpst qCMK6ys7TkHIDSPkgTTfXBhomcqQkDgyDTfzkMG7iAsRzrkyIb/NnIlKUsTlJZkt8xBvR9e0 P0NWaluyuqBK8RGEy8N7zGyZUhS3aRzQezNOoZh2moUIP5Yxu5I4XqjEbZYXYJJZevc5bOpk 76zw8bdVfDhWlsDVKRe+sr/Ah7RBB0JYRckAN1aOs2Cc58neLeBnUx5ExjjTgHrCR5QcB/I4 27P44oDs6pTmvOImXM+wuGS36+sKZubtBYagFrx4bXmSBPr64gDVoqTdbUjwmNPoXRTRcwn0 PSZMV0H4bdmYUtTDG+2pphWDwy2HV6bVW1RcN5tVyqDkJAyMcFEw0Qq0KXqU2xYeTznczW5D EpjD9JAg8QbsN8YfhuQi3geSuWuJ9LJK/PmK7r2BTos/pKP+7DPaAdLhH6eyIVkUB1panZ0d oQPYa84R5aRE9sGtmuodm6JVB3srP0y9D18dViOlksw0NTEdTZLhIiOonceEIHUWNkMqYcu0 RHiOt0LouVgKmdq4oESmgxlLEWNQitk+LQMbIs+i9eoTRTQDPU2C+bCUmV4x/F9uI1M7MknK XRtnto+plUVlcBtak0lfs1JAjFfnJ8RS/GWMO/krAjbiBY73PzsuAo7gzB0YpWjC0J641svT 8ADiCAkj6L1YHXwRgIaDh0NG5F52ssQ0/GwK565ve8/nx893NrRXZMXRGDT1s0niyIjr1Wm7 HT66kVgvBWsKwpTqC8hWsn4N5cbCZ9KUNMA3l26Ml7URZecbPt7+9Pz++Pr73b1170J/lOMr aPY9Z5uCiJQk8rvDJmF/AAOn/jifectpntuP12vfLe9TfusAylrk+ER0RnzC+Izv5ohw0A36 g5v4dptrRLnB2dKmgaCkdnGDXKxWvs98ijTKbBlYqpstXe7naj5bUTqKxXFtPOtuELz52goG 6klRixxcrn3qrmLPl9xw9doXjD/E4lATlbRee7YqDNbL+ZosBGj+ck5d9O5Z9MQmv05Sf+HR 0sPiWSymC6ivF6vNsDYHiv143JBelHPmak/Pk8XnirT0eg7EhkaXoyQHsDVXpwuRVX4OzgEd ODBwHbMb5m76MBCp11T5MTw4j2CM+M7JcraYEZ1VqxlONSWt8KU0QS0vQ0JYTkNMANFDOYE1 TSNWGPFfKhVMtyRWzbAgQBRtG6YrLg5Rc4S3QUFGxOX6IV7YRxEEb5RzR3EvqnJsMqUBajXb SdZ1bWFSqWRcbG4aGI1BUYlQtvViiKBajgU8CFx8ZYF6BUYzqBcFLKNLpyhNNQjjkHxL1eQR haXsGKR9FRqNMQiHIANdwQofM6g3W/hBm6YD05SO37LpyQNaCeiilCrYdgDOI71nGY0YEjHg rYjLFjxxKMPg8P0i9dfkDX6TLYjktb9cGz1iEa/96+sJ2sbqrRGVnZUEq2QMS5v1b2SHNkCT kifIFt8RNhBRh6Lk2rA9evMZc9trxMdgtJp8eFqCT1WLMPNXM2prtLhv/bBK93MzJtWmV5Us dKDXFIO1PAk64mhO0JcXS1heKmLJlxEFm9liyQ1AhGKkpLB9TK5DkBbyILhKxnEluAJguSaI 3j6CIKK563AxI106JhdxQmyS93keMVcxrUaJKI4pD4XJJBIBM6/mipJreft/lH1Zd9u40uBf 8dOc7jPT01zERTPnPlAkJTHmFoKS6LzwuBN12ud6ydjOd5P59YMCSAoAq6jMQxy7qoi1UCgA tQQ+dnerNehQfkrJAbptt47tBFfKgO2FLCK/NoFCFvYnMIXHhZ0kkEFg0Tq4GmXbIWpJr5HF zLMsYj0VBbPtFYFL8y2kRM9qikBu/ETzsjLt0BBVWhG3gZqjWhP2aSkiKxMMnvDDXOt1lk9N gfi9gahdV9ogfj9lJdWRFnwqXNfr+pZhKpXW6FG2YhOatGHQdXpcX42Aa852R/VHXMVVRV2x DE2aqM+57Qahuzg0WWv4NWOELBZyosJ7xNGOZXW9nkZ1TrFaQnrkuAv0tVVYx1FN9bMpeiLT iyYxsjwlMl/pZIwIjKJRtbbjOqRwaovtr7To0Gy5wuea6gFG2oW+R41vzXzPCkiO+pS2vkMc 5zQ68Qh9layp9sWgFlwvM/vIPOLedjiiZIx6Z81WeGCd/f3rFxFPPPuzujEdjAUX6xmG9ZB+ BoX4s89Ca+WYQP5Tj/UnwXEbOnFgaxGnAF5HjXFQG+Bxhh+4JDrPNhytva8JeBNhljESNxi9 yu/0yphTyIQb+gdN3KO1yKsGtHkHQyLsoiLVo0iNkL5knhci8FzTfiZwWhxs6xY/509E28LY 8yZ7bWz+L0F+kPtDeWP6z/3r/ed3yIYwhWMbGba9017XqOyZ67Cv2zvlSlG6vZLAIWae4ylx 8XKRlw7cvCCY/oy32fn14f5xHtxzOFmJRKaxlltZIkLHs1Bgn6R1k4p442PMaZxOBnnU2GNE 2b7nWVF/jDioJOSaSr+FtwPsAKwSxdKZgGiMmpRGRaRd1FDNjLGzv0pQNv1BRHFfYdiGz1VW pBMJWkfatWmZoPdy2qCf+LIm5uNkioipAa0TojaWKlFeM2ICi2xKMFG+PP8BMF6IYCcRsGIe KEN+zPVL17YsZFQlZqFFMFQ5V1N0UaggLkNuGxS6LqEAFcYw2/OBof6+EsniuOzqWZESvFAo i20/Y0G30E3OFpu0SSL0+0EWf2gjcCbC3yB1UpNMJ8q2nd/52HSAtdfyt+AZYE4FiH4+CyJD OZ8Fs9CmprYmjtyynDMc1InwrEBmJcQkutZxVpteVlPkZk3cmZwZt00uL+jmo1HKYCUJ5cDF D39EhMyy+lRRRo4Qg7ZFzSZE1owh16qiJgsog5fJ+QjB2wx+I8mrgBfTslWv8SZYL8OITKFW BVTP5pFPLI2UXtf6o05dZHABmOSqBZeAQiAw6chqwCGOZC/8KFEMuLmqcWAESlpAyIdj0GsN tOqOLQEs2xo0pwjSJFbaPaWsFrKAVVvMN2B/4rpSmeh2IBNQ5DLlegweqPdCZryEXxCR6rd9 Ae/SSnfRuKCOGW7HAZfoWUyEZmVVeVdjabjgDfnmM628QNwd8SYVK6+gEBoF0meutBuBC3Rl eLo3DhF8LKtHkwh0/ZLNm67MT1ztvoxfHYeB6/8wLt1LrhENkKlizkz4lHHELcfor8lUYFWR 7XmWQuhS0qDfXyaxJqxI+PLZxfs0vpX8hC3pmP+rlSwLCguqufEEXcbMm0cJ1Y5wAyFxOByw 8O4hLUPMsuTLCYeUqerErmLLw7FqTSSfDR0wFq+1bCwYPwFygrjBvI8Ac2whU19TdXfzVrHW dT/VzorGmE9FMzx5157mMbj8o8guy/M7KnLo/Oigcpic4ubAWhHJSebImhs2ODFiz6BeEUGQ SDErFVfYd5mq5ANUPPlBLH/tyYkjZLoR7LUFkHv+lWGHwMF40nnADJnA4ICi1x/lu2qTKae/ EVjH0ah3Qien0xlkf7r0eJBmN6wA+D8vb+9X0t3J4jObikQ44X0idPSIJwI4CnyRBB6Rklyi wRN0Cd8XNW61Jhbf7ASrIhmRulgiC1wOARLCHeLPrWJNi1sculHS94DL2wNJIiIBrulh53if CCE5oNc+sZ1wNLU9DjjjTUSwhIifSvAIiwskXDCstp9v7+enm78gCdmQ/+W3J853jz9vzk9/ nb98OX+5+XOg+oMfmCBA6e/a2uxjLhFG/VMBJynLdqWI2aRLcQM5hVl90puskLCcymlqlkU4 nQBZunMsml3SIj3S7EBaowDyNi3qHDvrCjE12liorBlHanBZgy2KFg2OAcjBWHiMQf6DC9tn fjDgqD+lxLj/cv/tXZMU6jhlFdgAHPRHFNEgmdKCqLWpNlW7PXz61Fe6LspxbVQxrgHPutFm 5R0ZyFnyMCQeqYxziehX9f4P78KlUwpvqmzN4h+OZfWG/+7ljouSsmrzIfWsyXfXmA1C5NDZ ASYSEPpXSMgY3MouqHznYmzB9EDSEDWSCvoDuCm3mwoTeqK8WOMSpLh/AxaKL/tOggw+RKcU B3VcTwd0J4NYSscpoj18r9xEWqxMAB5aOBzldzoY8d6W3R2XP9kUuNuAEziuJALF7PjMYXkR WH2eY0+wgK4kl5tf1V1ERUwGNLgIgRUAScBiO+Q7h0XEJAOKbJsRHCqms8sIDyCObLkikmfb LVyTEP3qhKfXk/6dlDxksZ/uyo9F3e8+MuR0Jpjq++P7w7fH8w/OTkg0HdFuXduaPh0T5gyM qR7qasFhhuYmpq6qakjROksToQ5FnvpOZ5k9pZc/qwuMffbqkX0vIpVedFD5FMPUHMlTemgB fnyA5ARKmnKIUMrVUSX6Wq0dePifC2byZVsDxfyEzGFDXXMFG4rkXAHeoLfi4GbWNyDFrTxa rUKE7CUYmbmjTq38CtlV799fXud6cVvzPrx8/jfGQRzZ214Y9rPTi2pIPviYgFlymbanqrkV LkfQadZGBSQzVC3K7798EflD+R4rKn77n3SV5oq6nP5nzVaKyEq4vUO4CsZHux0fAP2WS3CI AtbnWcEPGp7tqBS9nkhq/ChrPpqO2nILMqdBLUoE29XLmgfLF1BhwyqsUGQ6H5ki7en+2zeu PYoqkP1bNrdIapxXBDo5RTWuQwg0vHNQrR+TDWPqpSDIiJOF7NEm9FmACzxBcOxCD9f9BXpB Xo797rcEwywMn1wHnIf+GLDwuGcMsFrNNrDDULMOkl1vw4BuGx4Ve0S5trDKUKEys+ZsgE9Z CTHH6IpOzPbjVYivmqVOTqcXAT3/+MYXNMpd0mqe6o1kW8tgcQF15oM2wMl0U/KROI7WHhrC YEBvQy+Yl93WWeyEtoUOBdJRucy2ydUBaLJPFRoVRy6vaG15njGb8jgza2Jeu+sVZiIjOxbl RcSQfjHfC4lj7oVibWMmdRJvWnyPUHAXn9UnjYaosgDrmUVx4HotX+DH9Tcf1ylHx7XxXrgL EQSblnLQkzyW91m1IJZme4yOzPoMnCxt/LJmJEollYPfjgiqJondWRaH6TZ7NgyTrnZleMRT 6ZqeILkgbXNBxq4bhnP5UmesIsJ2SxncRPbKTJk2PqnNGyu9lviRddYJTe5P51aVZZDPzK5z FeGAHSVO9rht2n/852E4q15U3amUkz0c3oRLSoUz0YUoYc4KdbPXSULFNkbF2Cfljv6CMN8f Lhi2w9MyIZ1SO8se7//rbPZTqOA9xGnDnjYmAgYH1yfkS+iYhW/OOk14nQa1CtRL8bUhvCAc l2pd+Cutc4nZUyhsombXVSWjgerjBlfidbrrY+OhRg8qRRBaeAuDkGh6mAr7SHzUUjtY4rGB lxTtGp5D++iI2+JIbJMyNFCJxLJDXefaEV+FkzctGtH+VKivFHUSSbyyDw2qapTE/SaCuw8t 0K7c1Ho4z+ISROKNQuVmN0GVBx7WSig6KkP9qO/IRAQHVIgNDfqV5RNZpoaCYLZ9jJVVApVP NLitBNRW4ZqR3ohhG3ymx+YaeOPrzUcHMl1oEbt1FGHxalLtk49Iq8HNwcIKB8v1AI99Y5Cg nRY4KuPS2POM1VAAUsVIwYsJeQsv0zAiRgVshsjrMHCCOdzcIy41iIDii+3MW9dHk8ZrzVwj tfLBX9leRyD0AFYqyvEwm2qVInA94mMvRHfYid2KjbsKsG+lLTKV/WmY2F102KV8RGJnvVpe Yk3rWS4VUFLW2LTrlYf5GxnSSfzJlRxN/5fA4ebbuLuUlnT37/xghtljDqlkk8BVHSsU+MpW 7LU1eIjBC9tybArhYTUAwqe+WBMI19YNlS4oO8D4RaFYOyskzW6UtEFnW3ipLR+dpeS9QLGi P14RBw6Nxifuk1Wa4GojAg9tBHOXP2Vx4Dv4kHZZv40gyXfJlVoi6NFAextCxNhlEtu6SrON Ctvbz7dAs2XgzMuKGJlLEeQGH4g6JaxeB4K2q23dTE8iEuYTGQkvFLaR0NEkSPOcy5xiztLD MR+pNvNu+ZkVM0GZRiuwuba6xXorLpecLZH9ZCLy3MDDbY4lxeCeA9oPWguL98XSmO5yzw5Z MZ8njnAsVmCF7rhKgt2KKHgHG699tvdt4lF/GtNNEaE2WQpBnXbz9mb8mCjFMdLiDK7YFgqF F0lgfaTYNgywvnyIV7hRq0Tz9dHYjmPN2UlkV9mlWCvlboUfbnSagHQMNukoSyWNjthLFRqu HSyLSaBxbGyP1CgclDEE6nrHVw4RGVWnWVrmwtHRRvZAQPiWj0pogbOxECEahR9SH6/x+2KF xOVa6PIeI4murB5IcL4s5wSFu8ZmQaBWV1vh+2jEE41C1TH1DqwttOq4di0iKsdI08Y+Gvtp KiMtt469KeJJDMz24LhDBEde+C4GDRBFhENxWg9Z6EWASg4Ox+7UL+gQHSKIhbL8GbpHcfgy 8+UFqoYraHzJFuvl5qw9x10RX3rOaolHJQUypNK0F1UeALVylrtatrG8F8tYWy1pL2Xc8tWM zDQgAmyyOYIfwx2sZYBaW/h18URTxwXlHjL2bxt6a0Vw1RCIZN5CAgzKt4PrnxtIkLYlHu0v m24fb7dU7r2RqmT1oYEUfdcIG9dzrix3ThNa/vKwZU3NvBVhADkRsdwPuZJ0ZRU4nqXnHMY2 yiBEVr9E9JDpJ484YxE7nBsSSZuNLWi5y5zIsX5hG+BEV3ZsKY/RCFMqyWq1Qhcc3CX4IX7P OTFjl/KNc7mt/DS/slZXNj9O5Ll+sLQFH+JkrXkiqAgHP3F0SZ3azpIe9yn3idMK27eL6g7H O+hhhSPcH8sfxuhpb8lkdjqsFClXEpZ5PeVnBuNlZ07h2Op1loLwT45lz0cZ4gCvggJv+IBb L420JNq4a3TTZG3LrjE0P71x3WTxEB7bTpiENrKKRRgfB7014YgAP37z0QgXta2sjBxrjZwq SjBzQ8+UZeReE41tHCwpQu2+iD2UZ9uitq2lSRAELvnp8mrnJCs8GadCgF9kcIyHvhWNBBBv OK4Pwxlt9j1H+6G/dCY9trZjo3Uf29Bxlwf8FLpB4C4f1YEmtJeO2kCxtpM5iwmEk8zZRCCQ ZSjgqLonMXApRFhGKYQ5F/4tQ0vnKF+zK72gfCfYbylMiqLGWCQIXHiUL9rfT4sNXFfol5eJ rL21bPQ+UGh+kRZrdgBBjrI2g4hqqB/lQJQWabNLS3C7HxwFZdbIvmD/suZlikPIQnGQlBEi mvWQzZNhrUpSkRW131VHSBpc96eMEaEzkC+2UdbwvSRCM69hH0Ashl5k2VQcyQY6vUAcPzUR R4Ohcq9bK6torfbLBbywDRzo0K4n6XHbpB8xmtn8gXomfZ6GqKPv50ewVHx90sIhTGULf005 23EeERejkohVcZ+0DGvGhbs5qbuyuitVAgne5eHBdrGsWevj/WJh+CBcSlFfV5fmYfSqxUQO BParGMs2hnM7w65ON3ERqeQKWHkXBCKIFC3MdnDqCa+9+00IhmYuEXjpzakHiFARENW/j4ty VvCIp/xdJJH57C3N0cDE++/vz5/BYnYMLjJ7Eiq2ySwzqYBxzZDwYQM0PDEQzxwQ21Na+hE3 6OL7qHXCwFpIssSJRIxOi7DPEgTJ2gvs4nSk6+lqx5o9FGskBXg+Yhu96Ih4J+7M0RE3+A55 FaqQ4E/UE4Fy8B9hvnPhygnmIi2gQtMLdF6i0VKhv7Htduq1lQLUwwKqCMN/lZ8o+jpiWYyp WIDk9IbVIpQmJcjHQ9TcLvtx5XVMGgQDjnRDnGSnmL1434KUoWdJ0kN4EqEO/Aod5dMmyD4y n0iwCOgPUfmJL/MqQY28gWJu7AlQYfxBpXGY8NhBZcL61oyJ4XZg5QX40W4gCAIfvZWb0OHK 1VlYGi4EKrNMYIdq4sWMYP7RGrvbFNjWd9VrYQEbr2wvXJx+6mQcNo1QsxtU4E3aHsxm1PHW 40sQf9EXH83NM1WsMAcwC21ir/XQC1jAsjQ2gs0IaLYK/M5w3xSIwrNsswYBpJeYILm9CzkP 4Fclsgw0qmC06TzLMloYbSAiz2w3GcAVlbwZarljMaraAlKLcCgfJRWsNIM2uQ1sYYibpKHI vMBS8IjZHk2nR22vZr5teXpMT2EwQtxDjZHt6OoFQYjdDV7Q+rPG2GreL9Saffou9DudZ0aD 7llpEj7boXAi3FNvIOGiSTV9HCyUULVixEUHXAYOhuQI759y2wlcBJEXrjdfXpfoR3TnPhZd iJtmCwlhepSoaoW04zcrHcALm/5IYbiJSo1rFeSEEbgYgMKzCS/EEU0wpESDgF1GU4KWI1eq W8YAgyM4AjOjwioYmoumk/sMpoebmNqqewgsqbrjp+ht+gQkbUcvFNusSzlbVHkLr+0/5wTH rGkPIiBYyQ5FSlQE51JxLJ3o0Fm5fMD3753hs4HRwB4fYM2K4jYMfQ9FJZ67Vu4uFYyQ2qpc VYZK6MRXWi3V28VGm9quhnF0kWXgsEtBZaaikh9ePA9vPuFjdyHIWL52LQ9rGDz9OIEd4SXD ZhTgpyKDCFPOVZIw0D2edNyVcYWnIS9cE23kSD/Axd6FCnRDD92hNJrQXxHVCCRqZ6zTGKqi gfSWx2lmfaqhhO6K4oYzja5H6fhAfazVUVyPJZpch6GHvSgpJFxntW18ZgHnYAqhTrIOsIYN WguG0XRfBb49fErJNV4fw9AijGMMqvCXqFCbAIVGdXC5gOe68wXHnKKOiKdanYoRVxUKlVeE gY/vjwpVvvPMfHozInhZtPlMYt2ZdEkC50hbBBTnWboDi4kNlneISauki7Dd5eUmiJwV2Xqh fFI4qYJiOEN9VHCTryHSYtK1UCfxiF1E6jTXPpd6xoiJTYkR94Ue3zvPGkzzayDCSFwlRv7C DHJFTyj8PqOBg+J1Eh8juRB8OE7VaOFVGhHBb/lbFpV3FfX1Pmrq5c8LrujcbhKigK5AP1dJ MmnsfmUAimKRRszAMYuJ9HEiiV8f88kAJyE89I6kGfDagVNFcC0RwrAs1MIOm6Q5ilhlLM3T WKtr8Nf/8nA/qrHvP7+pgROHlkYFxGQdG/NTx0ZllFf8LHWkCJJsl7UQIpakaCJwSSWQLGko 1OjdT+GFt9MFp/jYz7qsDMXnl1ckr94xS1KRwVS5EZCjUwnjdS1waHLcjKvXqFQrXFR6fPhy flnlD8/ff4yJDc1aj6tcEfAXmH5aUeAw6ymfdTUahERHyVEePlTRIFHyxFFkpcgkWe5S7DVR FL89lRDZU+kc1gltSKdwQpcumuthGkcYPvSxhyxMlJY8fH14v3+8aY9YJTAlRaFn5lRQMsev Sht1fLCiGjJ8/itUMZCVBq57xUjpSZMBmxYHyCgTw1Ndn1eM8R/40zuQH/IUC+gydBjpkrpm 5+9vcighPwYiWgwqeHqiBZBck9MIqNuaXK3ZKiAcBC8ERPIkaF/RUHfMgE3YhhCtomw+OZn4 bal+vlvggSwVPJ1O9zZNidzRIhlv1KR8p8DrF93jp01CDRS1t2nkBYSt3NC+KAoCy8dfHsZC tn5I+PZICnmPhRLwlXwRoEO+Y5KwSAuH/1ukA3b+pQJBoi8RShYv4j8ZzDAIgyGynW5YUbCe iazSDZa7E1ot5D+SynmQlFmB30VOaAePmDviQQGIFwSVFrBEgu6fPz88Pt6//kTeRuVu2raR nkhI1gaqiX7PJ9/lv395eOE72ecXCDvwP26+vb58Pr+9QfwkCHP09PBDq0OW1R7Fhai5o7RJ FKzc2UbDwetQ9WobwClk1vS0dzoFQ7zGSoqC1e6KWP2SImaua2E3hCPac1fevGqA566Dva8O bcuPrmNFWey4G7NHhySy3ZUzL5Wr5kGAXYJc0O56tj/XTsCKujPhQgXetNte4i5WEb80k2LS m4RNhOqKGCqIIt8znyOGSrQvL9rHQmlcXwAfsIWpkhSEjJkofMKC/EIREq4bkmLThjaeYW/C e9gF0oT1/fnE3jILz202sGke+rzlfjD/EoQzbqal4jtkccBlWYCG0hkXZ+3ZqxnbCLBuFTkh Ags1ihzwJye0VrPiTuu1biipwPHrugvBQr+PdeeC29iTyl3Av/cae5sSSQxXMOt03DleOJhv q4omysPn54WyHWoOQ9zqRGFt1LlVxXtmswHsrpDRFYj1taXiEfdHI8XaDdeY5dGAvw1De84+ exaORuTaSE6jpozkwxMXPv91fjo/v99AxF9ELBzqxF9Zrk1LWkkxJF7TqpwXf9nK/pQkn184 DZd+8MAytmAm5ALP2bOZCCVLkGGKkubm/fszPzrMOgZaCTge2IGHyk7zU7mrP7x9PvMN/fn8 AiG7z4/flKLNGQhcbMkVnhMQDozD1k88mQ4jAfnB6iwxH+tGTYRuoOz8/dP59Z5/88y3GiVz glHLPvOIIOBDGws+cEsSXhAsCXAg8PBH9AsBkUL5QrA8kAUEoLpCQMT1kwTV0fHRWB0XtLee TzHAF/dQQXCl4mC1XILnr/Ab5ZGAcHy8fB8g24uA07oPoNeIIlYdA4dwd5gIAge7UJ3Q/gpt TuAHy+MQXBuoMFxk5eq49q+UsPYJY7iRwHZDj9Zej8z3nRUiCdp1YRGnRoXCXdKTgIKKQTdR 1BbhMDBRtFfb0dr2lXYcrWvtOF7ty3G5L6yxXKuOCXcySVNWVWnZ16gKr6hy4vwrCJoP3qpc bIt360d4QGyFYGnz5wSrNN7hlyoTibeJtksURRbVuPGTJEjbML1dErTMiwO3wCPn4duF2C9y DsOupEa1xQsXz4TRbeCaO69GkJzWweIWwwlCK+iPcYE2XWufaOD28f7tn3m2oLHBte17rqlI gf2PPzsMc6i/8lVdRC97CpFoaAhGD3bM9s3rHCVk4Xz3lpcKgIsuNyRDkXGXOGFoySjpzXF+ Fa19ZlycH0rxeCKb+P3t/eXp4f+e4RpSaEDIlaP4AvIX1Gi6LZWo5edskYvxicCGznoJqZ4T 5uUGNoldh2FAIMVtHPWlQBJfFiyzLOLDonWsjmgs4HRP8BmWsADVyRzU6dcgsl2ihR9b27KJ se5ix3JCCjfk0Uab1cUr/Nlaa1aX8zI8Rg6BwAf029hAFq9WLLRcYpRBn/e9JX6xiS5uYz6v xLAJnLOAc6leDXWi1vIKWbpaGN5tzBXlq8Mbhg3zeSnI4+HQlEO0tlB/R31FO7YXUGVk7drG LUQVooYL/paYny53LbvZEtxZ2InNh3NFDLXAbyzL0szzMHGlyrG3s7hS3r6+PL/zT6aA/MKs 7+39/vnL/euXm9/e7t/5uenh/fz7zd8KqXbbzdqNFa4xG5wBOzhfa8CjtbZ+IEB7TunbNkLq 2ypfircqvla6KTOM0ZHPIvb9f7/hYp4fiN8hmeRCl5Kmwx9NADlK2NhJMEdR0b5MX3CieWUY rgIHA7pjoznoD/Zrox53zgq/e5uwuu2KqK510VUHuE85nybXNz+RYHJ2vb29cpDZ5ZuuWRJw Ai4Rp4/Wa3T25yUB++B61DBDoUVcxo4zaOHG4OPnjm9w1zFldrd2deC4/hPbkFQXpJynxbbw ynBtV5YSwfpZmmfb11slgQECnM0U51M93KeokvE9jx7dhLn0NELSgMhskBxvoZNMbN7e/Eau RbWFNVdX5gwAUEziDj11gvl0SDDF/YKRXcf8iAsCPHg/IHN/FYTY1nHps3qFLR7Yu9a3TGnI V6U3qxnWnethN+SiXdkGJqHY6CWN4HgGDgCMQusZdD1r4dCZ2ZJOY5o1YZG6+quBnAaukDsW mmZzRK9sNYqvGI3E5lskmBVUicnXQsFXWSsexD3JVLCWQ3MtyD7qkQ0UODUTUm4FY/1Ry3j1 5cvr+z83ET8lPny+f/7z9uX1fP980174/c9Y7EdJeyQbyVnFsazZ4qwaz8ZtsUes7RqbzCbm xzVzY813Seu68/IHOH4GlQR8byMnHZaRZUjx6BB6joPBej4AZgMGzHGFuYFPdSCbvy9shKVT OEuWJYwuTdZEqI5hPYRXxJ1jMa1ifQf/b/+frWljcGKl5JRQGFbupOaMtjFK2Tcvz48/B53v zzrPzQo4iJJZYsfiPebC2lwdF9R6WmwsjUc7pPGQf/P3y6tUY3Ru5oLUXXd3H2bsVm72qIvi hFwjn9QLEybQ1PCBL8HK8swiBXihTImnRAAc1V1zdbFwl3sIsDN2hKjd8FOKOxdGvu/9mLWz czzLwww9BG/AaceZCe9ouwZ7bg22r5oDcyODkMVV66QGZZqnZTrdgrw8Pb08i3gDr3/ffz7f /JaWnuU49u94klZDUFszBa92kFPL7HAi6m5fXh7fIDUVZ7Xz48u3m+fzfxZU+ENR3PVmRDTt 6mduhiIK2b3ef/vn4fMblmIr2mGmc8dd1EeNkqhqAAjzuV19YP+yfeWWiyPZKWvjfdpUmFdM 0qg7NVgH1VwqdkqKXhUnQlKzNN+CnY/+3W3BhjS9GiNNX/FyC9ZCQrwqr3Z3fZNuCaMm/slW GFNO8TdIOkhr3PPzadJvs6YgcxIO/YrRRJ+A3KVFz/ZgbjV0QUkdPLzX3nBZg782QgEyqzFX cXx9VGSK0dz2V+aoiKy3XS1uydYhoZObdOYjiJKxiGqm1BSaQntpHJ9vFbBeaxMlVBptQEdF QqXqBXRZHY5pROOzNRoIDVDHnZ5kRMA4b5FlHYvTbksP366I8EC+gDwkuVlXxHADTsAVu2jn UEdBjo+zhku6/mNa0F3/2BFRaThuU8V7zAIYcHVUpvnIlsnD27fH+5839f3z+VGbUQOjlrBp skT1a5xKvWC0wi9yd/P68OXr2eB4aYSedfyXLgi1nUbFJrUqc+my9ZFI2zI6ZnjYDzmrtnNw iXMjZAkFon0Xul6AH6lGmizP1o6DK6AqjUukBFBpVoSz8UhTZJYTuh9x/hqJmrSOasK/YKRh beBdqYuTBK6HFyNWzabqxAsILVrTXRTfEdyYdtIXApx4+E7AMK6qGkg8KeR3//GQNbdMZxHI kyjz1I+ct329fzrf/PX9778hCa75SLTl23qRQDBs1VZzi9uto0WJSjb3n//9+PD1n3euLOdx MvokIPsvx/ZxHjE2uJagQwVZYvJst28XSIc2Xal57Oc+KTLVdWKmIoyErDqUWigRVs6TO++z ZO5ZsTfyTfD9c8rp0jZpuWuxjIScrIlOl6k+QDFPCnbKVjlmN/52/gxnBGgD8kwJX0SrNiVC vQh0HB/a6oAmSJT45qCdKidgv91S30CigUsvJlDWmGMSMTNhtIo8NCkR2UqMZ5rfZljIC4nk ahBvodnyTbbbpCXddNDimjuzmfE+43/dkU2Jq4ZFGS4LJP6wi2h0EcVRni8ULx4IaDQ/PxF2 CwLNR7HNILvYxvIIIxBBd1c3KcN2R8ByxtxVZaOFkrvAYKSNMUu5trrFH/UFOo+ouQOXrqrQ +SfNKwPw6Ta9M9dGscmaRKfbbfVEqQKWc8lZHaiu7qu8TW+1/ggIzTW71g/dGXPzBi6trNs7 Y40cYtjQY71TpyjnnGz24JilJ1aVGW5EJ5p019CKPRBkkHycxrY07kO0IZKkA7Y9ZeWenNvb tGQZl35ahh4Oz2Mj2ZcApsZk8rNrdawMIj5mIOHMIRrhffKBaMtEwf+olXvTCb5VAmcCsDkU m5xrD4lj8Dsgd+uVRTE84E/7NM3NJaEJAT73BefK1OxJwVmgWZjJIrrb8p2RlvFNKlcqVXMW NxWrtq0+sEVV8v0qvdOngB8Y20ywtcnuJREkTOKaDAsNAjiu5hirLYMQQiVENuQLFXuUExRp yUerbGdfpm2U35XYc4JAc0nOVQNzjAcwsBy9IY1EcYbddwsKLtVgrrKYzWposiLCT1Fyjvh3 CwuyqeI4wgwHAMk3H2QMWVSwQ0kNO/hsaKoN+HCQ3CnSAHHN8NbsFmvTCEsNM+A4y3N9JWU6 E/Fm1flhNkQNno0epFmTpmXEMuWKawJpy1SUXkRN+6G6G6oY+6dAke2K75DY5Y1AVTXjvddX R7vnYqyYlbLnx9NWJhAlp/IASl5fM/wVUVA4209pQ7XnFMH2aIzdKcuKakFodxlfLkSBUJc+ WCNkNraf7hKu/OkJfcSYi1C//f6A5zYX6lxOZCAQYoUrMbMQ26OZGKLkTqltUe0bnBURDbzO MGEyEMurOC3/rVr2dFmlVziVD5dI+yxBOzD7bERoFSjNqfZxxk9vbZunfVpy3U/ZLRU/WB3I mUImvpvaBFAu0HpC+AL6kNdZD9kpjM/4ryUV5gfwUQP7ZsT6fZxozdDbpIVrFd+VJRfacdqX 6WmMJzAeZnSzfpgAxOVZONIOEZL5KZ5lDBOKgop0aRZD3FJDwjH9ac8Fas7L1lsPqE0uzqOs BWZHRpuJ4YYMhRxA+CGLkYDoBQcuV8tExqz+l6Oii0tMZMGKL2/vN/HlTj6ZH/bEtPlBZ1kw KUStHXDWXt//Jniy2cWoM/lEAfP5NIcOfq86Kh2rMsZIwJuqEgPYt/hlzUTYtsAqjJ/LqC6l Y8OwerYMex1Tm0e0vuoOjm3t62GwFAxkHrX9DuvaljMI/2ph/EX2DseeLRu55EnofCFVSPO1 thwGAqIhLA9tpBkTmHezwlAx00ejCeFpax3MxwkK0SNEj1DhwlxAtAWFw+UV0k38eP/2Nn9y EismNuaIq1SgourNPCWzoWiLuZNxyTfL/3Uj+tVWXDtOb76cv8HL083L8w2LWXbz1/f3m01+ C1KqZ8nN0/3P0aru/vHt5eav883z+fzl/OV/80LPWkn78+M38XL6BIExHp7/ftE7MtDpnRmA UyALBAXXIaDnKQGCBEDIkrrAP0qiNtpGG7yyLVeipDKBIDOWGDlaVCz/PaLX7kjFkqSxMHMz k8jz8EZ8OBQ121ctjo3y6JBEVBOrMp0dwFHC26gpMK8/lWa4Hun5cMYbqsa05AOz8R3UKUms ymgyLgCmz57uvz48f8V81IS0SOKlgBLi4MbnnyLIajo6uNgtkpJQQkXpYrkmaDgmsb+eYtcc B4AJnWLhGxHqfVz59eP9O18pTze7x+/nYVe7YZg+Jz6d7T+ywKhmM7Azh2g17+6/fD2//5l8 v3/8g2+qZ75Yv5xvXs//5/vD61mqH5Jk1NDgrZov+vMz2Pp8mekkUL4R2NpEz2LUTJgjRFJm mJPBRNI2XO/gU85YCoe37UyjuVQBilFWJcTtkJj5PbhXpvgtzrjJGUnOJ6YVg4FK6ANjgWqI JZYGb0uUzxaMgI7X2fQClWSkC4ZCE2VNDLk7sNq5unrraoaVCk7eIxMNjPcumhZPIRG64j6N WqIICBUF1+xpnpLBa9Qaa65BYLcXKs0gi4qQqDMt6hSPz6MQbdsk40NLqfgD1ZErAg1RTVZH H5e/zhp0zNNkl5pBwBC0EXce6UJoO7qZp470UEN+lQG55CcnP6tPV3p3OKDdu03vWB2VfY3s TRrFtSm6zdmVEbitNhlfILG5QUpsEbf9gR6hAi6dlssvKhYQa1ribK+vo2Z+HFVotEgrKq47 DEwwx5XRsYhKFFXnjuF0riCrNvNDwudaIfsYRwf8Mk4lOkQ5nKqXR4jVcR12pvoy4KJtSjQU UHzkkiTF38818Zc2TXTKGi5C0Acalfau2FSUuL22nOK7Tdp84PsM8X3HZWx1ZThOJ2Laqlok +iGmrSgzrq0tFw0lxBVeegc3UH2BM9MpY/tNVZJTwQ72gpo1ckNLB9YaSA51EoRbMhWkuimg CWdgd9VvQZBHXXF4LTIfM4occI5v3Lokh/bQmQoDS49sYZfI013Vkrm9BAV5uhw3qPguiNVM vhInchaZc5El4vGDrEzsVuaroUYh3pgTrrnkEf6WKgj6Ypv124i1YH+3I5WKjPH/jjvj9JrP jvxcLSvj9JhtmgjPXyv6Vp2ihqtkxlFVmPjNbi1Y2soT8jbr2gOaKkxqaGATsT3pRd7xDzod lH4Sw9c5ZlVw/cL/dzy7w0KvCBKWxfCL680F7ohbGWGQ1OHKytuez0YqjVjMEvgMVIzvhOg6 qP/5+fbw+f7xJr//iRmhQgH1XnmdKqtaALs4zY5mX+Eqsz9uCGuDNtofK6Ajx7oGhwXzfpho olFzxJUZwiLprjZjrSkfNhVnVmlZijSrKNSY/kXcbyAtGwIa7z+ncI8ivtwh0iKLcuKBGZU4 dTJU3S/cPMLnVPB/wLFkL85t2gcCSKcCmijMpELzIvJ2W+Clb+F/F3Ur5TSnDdPzBMEoZNsC bnvINlEZjkSd/ChT7fsYZzIgiTcBlWGCY48iMmxRoKkvAH8AfyB92g5sr+ZzEZBkn/mceyxz UOKP+4Xh3rOPJK6t2D7bRMQBFyiK9hafgy4tibfrIi0gv+MtUiK8DsBduvL+DjfrwgBMe3if oD39BC6INg2IyxI2pf0JJE+5S+e2XJx0LmnE91MKqCcNLFKnWLMmCTC2QV+wrtE3EW5BU9QF mAxpL7B1HK15RbP6Bzj1giNoAGe2AVIBrWZtADCaR2DAep5IBWA+P01YNB3vBTsbCQ70533K 69BDXbsvPfa6WdsH+EKetJHKJxJyCIIx/Uobtajd0ESkpmARwHn6uwEc286KWWiub9mmU2EU peZf0Xg7cSDPvVnFkISBKr+NI4h5bzB0m8fe2u5MPp/liZgY2fsxq7hqHdQgXJak5Bcz1py4 M//r8eH537/Zv4sdttltBJ6X9f0ZbO+Rt+Cb3y7v8b9r1qVibEAHwUOeyubkXUMowQIPuWZo bJnFQbhZ4BuZJ2tYHORMXPJjTSPSvj58/ToXQ8Pb4lwIjo+ObUalw9HI+GEIbtWvExYtvhlq RPuUqxOblHgP0Egna97rpDHh/6ARRXGbHbMWV/g1ymUJMFKNb8v6bIlpefj2Dle/bzfvcm4u XFme3/9+eHwHj5CX578fvt78BlP4fv/69fw+Z8lpqvjRgYEF9y8MhYhWf52ujiibQI2Mn7ST FLf9N4oDk2V899ZnwUxGdjlzxXEKmWCznJqkjP8suXJRYofJlMvJnos8eMhncXNQ7AsEamYJ AVCDRtrZQ4q8LTNQxmPbAIMYyJB1QV1ksiFFQoS3HtEB4fsv8GnQEalYB7RHZL4U6Cx0wsDD o2CNBOvAWyrB9PQ30ZTrjUSnrr1I0Ln4tZv82qOCI0+dI3LlCHwTOv7i995y1zzqgkeiAxfP ZNLG4ERxYRAA8G115Yd2OGCmkgAnVFG0ngSS5B7N9BnSHaiINoftPE8CuytjSIahmAmzk4Bq p9vhc6JSjuqL6pjy4zE/2+ArcCAbvQ7JDgARF/WmGdfoeaR3QxEBh27pVqYGXxbs4C3U00s/ +ak1zvB+Aq6GlCC7tMwa/BgDNAn4H16hiagjOYSvT5u4op5MoQ38vLP4pMVpuOxF3yTg8+ag H28AWGx9B7tfgVR5aBz4TdXtDilqFgXfQJFpqWVoHcDUWXxAH5OaigQoSy2ILQA+FHViLRJ5 v4cGaTCwSWaD9dsgwi+GYp9fX95e/n6/2f/8dn7943jz9fv57R0zy9vf1WlzRPn1WimXQnZN ekddHfETwS5DjWy70FcyAkymbsrOWGf8yICPeRSnzT7BuR1wPfYacKFgB4ZSjGs5TjaRnuUj zfOeFZusQukB22wOmiun/KIKKQuF7eFD1rJD38KrLK7j7Oqkr6v4Nm0h4SBKsq/l2ymFXByH bFNwsYx/Ky1WWb9PZgJtUkwgY7VwNjlSWpqk4T/59uP0R1LHlHScz/PqtEBw3LT4MLBDs4WE l24v/CT6quanFsq9YySum8rtN4e2JejqOC0586asj+oD/rgx2JD3H6lMvcPF0Kbtm+1tluNj PVLtqaEWayEualxscs2tTYvApxOMg4l2GzV9HtX8V3yAnVg6L/Ch5rRlm0WEuTQ/Ek4Ld2nS F9mmIbych/TqYIzOIaWRvMogq4uYtuC5kGTEuA0UhzJrTZqRAwqpXWvXoJBJlwvfntgI431T Fek0QlQ6sDyPygofyLGg/BZs6/Kquj0o+RX3EddWOI6zb1pHaq5ieYoG3LgTDAEs4seXz/+W Hqn/efl/lD3JcuM4svf5CkXNZV5E9bS4aTnMgSIpiSVSpAnKVvnCUNnqsmJsyyPJr9vz9Q8J cAHATLneobuszCR25AYg8/RvVQB03yD57jCq1N9OXSJutULGYo96sWxQESGjdSoXNysUoiAM ojGRxkAlEyFDuO38aaVXsjoCvs4j/VkxMmvmp1R3ePxaYv4UDn/H8ngN5xg9tVl+xI7vJyVV 8d+VxcUKYVd4in+RQ6PbEoHOkrCFdq3DalDWuB8nXNlCVnbMe75RbFN54Wz/CgGkBgI5yHc/ 98KdoNx26x4kf0KqbHFRkzBj533Loti/HC97yLqCHSRDtqcy4kICz/eDfCwLfXs5/0TLy1PW aIN4idqXCn+HZ9YgyHsdYLxt/2Af58v+ZZDxdfJ0ePufwRl8gH/w4emOomQIjpfn408OZsdA a14TigNBy+94gftH8rM+Vr5yPx13jw/HF+o7FC+vHm/z3+en/f78sONzenM8xTdUIZ+RSr/U P9MtVUAPJ5A377tn3jSy7Shena/AuEoiPt4eng+vf/XKbNThOInX2+o22KBrA/u4fQD0S6ug k2mgbc+L6KaNtyF/DhZHTvh61EIZSVS1yG7rW4ZVtg6j1F8rF+NVIm5OgDiDQ39df1ZIQENj XIrhdrRC2SYy/5Qy9xmLb/sbpOlaaPK/bhSk9qo4ubageTRjE/11eeAcuL593ytGEld+GFTm vaAaNWc+l5eY96QmEOdM/e9azdlxp7hUqwnhyYSD5uvuCMbjieuYXWwPLV4MeJ3p+aNXVV6u ISHRtdYU5WQ6drDL4jUBSz1PHMbo4OYSgnJWy9lvodxfiNXjOP6Da+7zufq6oYNVgeZ5UhBw tpmt2SbFk8lywtU8ngtyveDakxuFXbVa+fLPOWYdKp/rZTYtYbBrWhJbL5jdXQv+UVPU316v PKoNteZgyX942D/vT8eXvZlmzw9jZo1sIh1Eg8WzqvjhNnFcj8xg0+CpmwICP7Y/xRvl19hZ 6lsT7WCfQ2wiTA9H4RmaZ2nAl7k0rLsFqUJFFlYcwxuu+QF8m0gDE/oOoV+G3PwJifEVOMLa FKuhrNvh+NsYW46rLQuVuHTiZ91oDaT1cLUNvq0sM8h54NjEVb409ceuR6+CBk/fF/HHIzTu JsdMXE9hIBww9TxL5t41ofr9FQBh572piF7vacTbYGQTeYFY4JMnBaxcTfCo04CZ+Z6Wj8vY gnJbvu64IiYi/9XRLrkA4lJHz/Tgh1weL1If/Eylr/nNwvFwahV40znSsnFbClBTrOEcYY+U G5Pwe6oFjhUQ6tPpxGidO8blGUeNhqMqlr4Zv/CThPBraZQ0oxiPR2RN49Gkotgbl5b45AJq il2xEAjH6Odkgudm4qipjTvJAeVSfHU8nRLWOcQlHlqghSBtW8Zc9msxQJfbMcF4kjKw3fEV HGH4CxyhpkgcPhRcA7GGNo2zqGMpicTP0wDnUJk0/O10RHQ+DXLHRp+WAMa1tRskAJoSBa39 DV9BuMNQ6lZc1cEnq4xhFocTS8ux2kCJzEkN2mVDIqqrpLBsiziCrPHDCbPQmOHN9xM21GN3 14iRxUY2FQ+OU/BiLSrEHaDHvbiSCjrl6u3WXNwqRZkErkeFx7tL3KEz5BOPjzd4cThazEcn 7m7jHF6ccUlbSbhppm17zWk4+jXurfJ3Ee51EDWxXPXPFWRtur89c2Oup6ZNHILDLdPANYMK tnZ+W5Ys7Gn/Im7pMpHgSa+hTPhizZf1aQChRUVUorsgYBNij8T+Dem5hcriAqL2sUVOKBgs Z1Rur/uJyScbf5XZUxmf7vBYAwZcf6pdbuqc4ASqgg1ZqevjEtCamuBzLG++awtVFTWWt19J V6DySFMngEgKitbQL1j7rDQag+NA46NwtSqlh9yGnK5iceLqiDccKRln+W9HT3UEENQM5gjX tnTZ6bkuJbk5ihKQnje18TUqcA5mHwFm6KrKjTey3cLU4gE8GV3RNbzRdETYJBw59jyjtDHx BgtQI1zFgNzxxjCNx0Oyw6SmAo/DtGImE8LSC5nrEtoil+rWiLiRAhJ/hF7vTUe2o1/H5QLZ s7B0zFzAumNbTePEAVNdCHPeH/pc8NnmPVGDwvMInUaix5QdVqNHZvTANpbsla0hA+JwfvH4 /vLSxNxW2UoPV0cg3f/nff/68DFgH6+Xp/358F+4wxmGrA5ur/j2hRt8dzmefg8PEAz/xztc LVE35dSztWS8V7+TD86fduf9bwkn2z8OkuPxbfAPXi8E8G/adVbapdY1d+XlXmVhcZA58HVD /r/VdFFVrw6PxrF+fpyO54fj235wbiVb2zRwYQwnQ3XjA8hyjC5IIMWMhCOE2AV+uC2Yi0Y6 mKULS00oKH+bPgUBM/jQfOszGxJ0EGZ1vnGG3pBgRDWXX3wvMukdMORNjYKT4CtoyC1oossF 3I1Tz4boSZBCd797vjwpKkcDPV0Gxe6yH6TH18PF1EbmkcuVOXy0BQ7nVeAhHV6xJACJ73C0 QQpS7YPswfvL4fFw+VCWXNfE1HYILThclmiSkyUo5XrWkmXJbPTBwLLc2EqaEBaPh0NP/21r U9Rrq2RZnDdc4Ar5y353fj/JlN3vvO+Ih5C6slhjyY0hsITOOEvjei9cQ1OCeL7N2IR3nPy+ JWDos6lVuh1puki8voVdNUJ2FUpDNazeQQlLRyHD1dMrIy+vvYvIzdjCgtshPpHJ1g+/hRWj JJwfbsACJyYKEvWhKlvCpfhQefvp5yGbOmoqDgGZjhQGO1taY093zXIIqhIGqWNbE0s5geYA Nc8P/+3YjvZ7NNK9fYvc9vMhYYVLJO/CcIjfIWs1aJbY0yHhaNCJbCz5s0BZqhrzjfncDlf6 UuQFN6rVnVsX2z6DUhSrwiNUteSWT5VLPa3zt66ZntNE4kr1OvMtIz1Sjcny0hkOlTnKeb/s YQ3rxii2LAdn2YByCQ9ruXIcwsnNd9HmNmZoGp0yYI5rKXaIAIwVb3EzuCWfGG+kubMFiMij B7jxGHWNsMT1HK3PG+ZZExt/F3IbrBNyKiTSITIiR6nwVVxBUlnSk5FFcNt7Po1276CnyZ6s MRx5tXT383V/kf5qRK1aTaZjZa37q+F0ammu4vqoJPUX6ys8vqPB2TRHOUamxDQNHM92MXZS 815RntRcTMO3ac41dKf3fPRZwDINvInrkF0y6Sgx0dAVKV/+tMQxyHqlNVd4sdn6W5sv9O15 /5dxs0GD1/rAw/PhtTfjitRC8IKgeaI1+G0gM5M+H1/3ug9ExKcrNnmpHJDqIhMepWDHm239 eC21wHzl+hu3zR75fz/fn/nfb8fzAYwdrCe/Qq4ZGG/HCxfRB/QA1bPHuOgJGd+LpHPacwkf r8BNCMe1wBFedG41U/ILcJaDZgPmGIOpCeIhdc01T0gdmhgtdCT5DOp6ZpLmU6vHLomS5dfS jD3tz6BDoerSLB+Ohin+qHGW5uR5bbLkPJZIkJkzSl4tc2K64yC3aLMkTyzryvmpRJPHp3nC +SMuR1LmkScgHOVgzpiaD4qgJT2rUIYy0YxXDWOYsKVH2XDL3B6O8P7e5z5XAEfoMujNdact v0LwQGwJMGdqillV6Gnf1Qvq+NfhBawl4A+PItfyA7q8hMpHvMSOQ7iEHZdRdat7wWYQpws/ MDJeT7SIYh6Oxy6h4LJijkYdYVveNM3FAZQ4e7hNPCcZbvtrsB33q0NS37A8H5/h6TJ1nK2w TJtNKYPRZv2nde01zKs1SEm0f3kDjxfBEMBfOSUUP85b47QSEXmyINsYYfY6smQ7HY4swv8g kKhDtExzmbGt2x4AwfZgyWWhqm+L33ZoOFMda+Lh2wQbBEXRL/HI5LdpVM3QJ/3a+3v+o31A 2i3du5SMewI4EU5BU8EllDHyrVVHQN+bBxoRsGDimWWXd9hLuhoj8mk0mU2LG5G9Tnsz1Wg8 Jq7lejmEoDSihctTxJJ3CH/038bSy4LST5SnlBEEOuI/yiJLEl0zkrhZEaSsnMGvgMgDJAnL GOYmQJ5s58vvA/b+4yzujnaqWf1GT48fNAvSapWtfRETSUfxH1W+9St7sk5F3CNtFahI+Baf WE4V8FnLzTBDGsVNkKV1cKVfoYlxYQJUzcMds0EKSclx3FQfmp2RNzMjIw5Nxxa1MW0LhEuv vHuaghsmES/tG/XIJQ1m/RnbnyAerOC0L9Ilia3Ra2TtCtPvePKfZn5KxaKdub2m+K+Pp+Ph UTH/1mGRxcrF4BpQzeJ1CJnjc21h6Fj06qRRQPNK8MuPA8QV+Pr0Z/3H/74+yr++UMVD5e0L XnTemu60t5p9JVDYmvPB1PjZMjzp+b0bXE67B6E4mPF5Wam9IOI/4e1ZmVUzn1qjHQ2vpcIe qwKFSPtqFs2yTRFE4nZpRogrhex6bAqFcA4RdrFoa3I/lFrCmwZGMvKWgHyz1lLgueBaNCNq 5vv72md5qWmlLbwnsDp/eX+Gu+/n+QJ//VtG2JjlaZXlue4oy/DbXSyJU+p1rbCfgyvv5AJI AUQEPEkzYicYl93lueThmasNgqepzwMCP1hG1V1WhHUkC+3dtA8KL1d2uQmf+wVDLyhzXJyl OmOMtqVdEcl5Oc65gnMrlJEUUcyAx1RqiIsWyPsQrHQBW2Pg9Q9E4MCiRCllVlu/LAukZCgi Y5CjNEjQCuZwdSTYFFT0j2+CBkVte6hGfM8ZDJ+6vLNAwhDqWVmPi+qlK83G48ZyQyYGUKzG BdmTlrjYrLn4XXO6ig6nIKmRzajhfcZHEV/5XXXRHOKHG8EdGkYeJ/VgtXM3t41lIgAQ2Qoj M2e+AaOz3iCvzrggkgNKTLygEPf6qacxsiIRqEfqF9RT6KZFXGcSxnqMRmGCmVClodG/dvfB c7658XBEwupYi1mOrUCI4VEBnpu6yg1uLsAhmNd3E981HuIfBMX3nO4eE1NfYlM/ZzLkh/KO yQTEEiDeISm99026m02m38EWAAhlISJ8Ci49x4WnyNFR09/5xVobAgk2gvDczNOyutV8cxKE 6bGihKBUZglyYcyZKze8BtNA8w1krdTmMqDCz9YBLlDukvHxT/zvJjtqoZB8Ly74Cq1CNGsc Rukndz5XiubcLsru1BYqxKD04fJUIUojPjhZ3g+wGuwenrTMv0wIOu0mhgQJxkBs05piGbMy WxRoGriGxpjjBpzNYPNWdaalbiYACbsCjzRTt172JPytyNLfw9tQiPCeBI9ZNh2NhsZUf8uS mIhJcR9DcgWkK5tw3sxy0w68bun5zdjvc7/8PdrC/9cl3rq5ZLrdHTDGv9MgtyYJ/G6ClEGg qhwyybjOGMPHGQQ55ibyv74czsfJxJv+ZikWhEq6KedE9KatbAEmXEpjUwmAMdUCVtxpd2eu jY20As/798fj4A9szITKokoqAVjpz2MEDJwCKmsQQBgvyK4VyziKneULyGAZJ2ERYTJCfgx5 7CD1mQwE2RW9ioq12iYj2FiZ5voCFIBPtA9JI+Qv7k7eLDgDnqFTw823eZ36VwugAP804r8z pvuj3ZYTMxmDSsbg0PqQFRBElVLS/LCnddUgvhow+rmxmCIh+bSZbkG8f4yJwDsdcml8z3/L FIa6u6rf4A5Ho6589W3eVz07TsbZIjo87Gbjs6Xa3gYi1QHJj1X7SUNLSXGlXBHGLs0ryLab 4AXVFCIoCm6ZYZTwltOIzGiSGypjC7/XYqm14OTeRduX3OOxdLp67q/j71mJxRRs8a5I7jUT ETjuI6RlUTqLIEEDgpoX/iKNuGpTS0kowGmZ9tZQsdN4zTe6OttZOjeX5jKn9tLNeusaJXLQ yFjwNcjgv0VXkwaBQJzw2ve7GTlcorO1Cc8hyVVk/gYBkoAN3GjYGk+VJHwiWzTGWRsq93oh 7jJAizEpJ679S3SwPH6hXUqbrve8kaV443tkn9fYFvjlcf/H8+6y/9IjFC6wXssgEAfSCtLD VeM5r9Ik2K22vDa9BSsh1V1hZAtX0L2UV1GRUaucmxN3WbEyxE2DNBYx/L61jd/aZTIJMaWr itQiXQOE3enpL/WyXOJBpchluSYEAHwJpkYdhDRcoz2viUCLiBIg0jsWxgyCqHEVNFeiyqh1 YHxuUYiHpiIXWFcebGrzJwyFVmEbzLtZDJt1kQfm72qh7goO4HY/wKpVMdMeG9fkTTfitXAQ QLq8AHIgEJH16o9IF0kQ5Ut8JQWxrnjAb2nIYDakwPpga3UtawMO6mXcRT4EM4LMt3iseUG1 yQOfiIQm8D2VTkX2dkwHxU+WOjy4y3ORWuoK4S+0r7bOCIdr6FPKjk8rSdOc2POJutQTheUp BouCbiyeils82hZQcWMHvyukE42xC5YayUQN5m5glAuuBkY7lDVwv9AuKgyuQUS8zNWJsNVu kDhUD0cuifGovquv6A3MlPhm6owoDDn6U4ca/ak7pVowds31wg19WGEVdq9Z+9ay9Yc/JhK7 CgM0PgviWG9PU6dlLpIGQU1Zg3f0njdgF6/Gw6lHOHiMg6c42CKaYrlU34gLW0CyyuJJhfHE FrnRe5hCUOhMSxHXgIOImymB2QiJWZfRpsDNipaoyPwy9jEfQEvyvYiTJA76dS/8KNGvB7SY IorQVCc1Pg4guVWINTteb2JMXdTGQUsS32DKTbGK2VJvJ7h61BaGCR7mcrOOYZVjh4xZdXej ehC00zP5OHj/8H6Cu1O9sNYgn9Tq4XdVRDcQs7jqCZ5GQ5Wp3sHg4vQFN2p1q74uB/myLDb8 u1BW2zkXpF+9gevNqcJllfEaffC7o8Z7fb4BAaWZuIVSFnGg6WTYEYiB0pXpOVfqwBcvT6OJ w2reokB46yF79jJKcvTIsfHpdc1UY+InLP3XF3gn+Xj88/Xrx+5l9/X5uHt8O7x+Pe/+2PNy Do9fD6+X/U+Yv68/3v74Iqd0tT+97p8HT7vT415cIOymVt653r8cTx+Dw+sBXvkc/rvTX2vG EIaUdyFYVWvIxaedaceQcUEoYQGRgqFHDLmrSdrmujfepAZN96h9im4u46Y326yQBrKiv/gi YrvuiJSwNEqD/LsJ3aqZXCQovzEhhR+HI77EguxWceTB4s2aqxnB6ePtchw8QLbx42nwtH9+ E09xNWI+uAtffROvge0+PPJDFNgnZasgzpfqEZKB6H8CCjQK7JMWqpOvg6GEigluNJxsiU81 fpXnCDXY5n0w57/+Aimjhmt3YWuUmVgG/bA1mcRBcq/4xdyyJ+km6SHWmwQH9puei3+Vp2YS LP5BFsCmXEZ6AoIaY947MlZCnIbNcs3ffzwfHn779/5j8CBW7s/T7u3po7dgC+Yj9YSE4SWx UfAZvggZfpGl6fimuI1sz7O0B2PyQtj75Qku4j/sLvvHQfQqWg+vJ/48XJ4G/vl8fDgIVLi7 7HrdCYK0N8oLBBYsuQz07WGeJd/hbZpmyDbbcBEzC32Q14x3dKMnQWz7v/Q5A73t9W0mXs5D DvRzv+UzbMKDOZYusUGW/c0QICs4CmY9WFLcIdVl16rLZRN14LZkSDlcvt8VhJunGV7IOVBu 0JjVdbMhGmdzl3a5Oz9RI8eVsN4EL1MfG88t7wNd460sqXlVsj9f+pUVgWP3h0GC5QUwZJsH DsadBJwPa8K5C92o7VbwcbPQWeKvInuGLFyJQV02bb2lNQzjeZ/XoVUpm8RgoKGLwLw+h475 joDQ/LrF0LCgNLy6zQCvBjrowLY36guoNHTsPjVb+laPlgOxIjjYs7AJ4wj8gn+DT6+jS65N zTLsJnvD3xeFNe2Lj7vcE499pSJyeHvSo3A3/ArbiRyKZ6RW8Ou4Xrg9QbTezNQQDQ24CFyk Kq6p3c1jymdXLz0fgtbHWGjXlgIsFOka7W0kjsNYNcBHdJFh1OeJcymRe/rI0r/3Q2zq/YT5 NvrOXJco/ZUXRWiBUZFTCS90koqxyK68CRGWvll62EudVm3we80q77J5jGz2Gt5NQU8HqQmM Bv2tThXwBg+pNJuknQVxktOXRPdZDzZx+5tAnmD2YEuMpZiHkvIZ0e718fgyWL+//Nifmvg1 WEshY1wV5KATm6MTFrOFkUlHxRBSR+IMdzZCggl0QPSA32LIGRfBs478O1Ih6L0Vtziu+NAN wsaK+CXignhNZtKBJUN3GdomrsUaJtbz4cdpxw3K0/H9cnhFBH4Sz2puh8Bx3gSoT+UiEMlt 3DxeQZZWR3RtCAQVquT26TD2BPBG7HIdHQ6+rWsk19vbkH3aYkMrvt7uVnqaRS3Rqyfse5pG 4MIR3h84ktKs8AaZb2ZJTcM2s5qsO/3oCMs8VamQKrfecFoFEbh84gAOkeX9ce3QdhWw/6vs WJbjxo33/QqXT5uqxLG8Kq32oAOfM8yQBMXHjKQLy9FOFJUjrcqSUs7fp7sBkg2gQWkPfgy6 iTca/cY5+k/uEY7VBX3MEfVX4xPDqrKg9KQ81MIz5mzqLB2bTLuUkA8xdqZYssMnmLHlXyTw PNPrrM/3d486xO7238fbb/ePd8sRqFQ64JPlBSnRLj7ewsfPf8cvAG0Ece/T0/FhtuZoCy9X z7WWO48P7y4+Muc1A8+u+jbiMylrzjL4Txq11257MrauGg4lvlXa9TLy5AT4jimaxhQXNfaB fGLzaY7LIE3Rqh+uEppKxhiEcKDoreXVj+F58ltkcQH8Hb4Uxzb2FAQHrF+dNNdj3lJcGd85 HKXM6gC0ztB9sOCWvAmUF3UKf7Uwh9AFRkpUm3L1OcxIlY31UMX4mt2SOoY2I48anCP3kmIO q3BATjG56wE9H3Pk3siFqSkLW1eTgHAO15ZVdHJmY/hiCTTVD6P91S9fnJ9zTJZNjAgCxCSL r2XxgiGcCp9G7SG01zVGLFoMAHZ2alPiRGbOEv7WcxHPsiX/Uuq5EQmtuLs6VRWbCeEr7rKz tIul2vXMLkc/MrydbZ7tRl9YTin3PbJLpZodH6SllLkeLdsTscX+cceiBZ2KGf4MuLrB4uV7 /RsfEPTKKMyy8XGLiNtrTWHUVlJZv4Vz5gE6uDb8euPkH3wtTWlgFZexjZubgp1BBogB8EWE lDdVJAKubgL4KlDOZmIiCmRZsJ9OB4E3HTtVKsvThZeileg8AIIGGShOmLQCP8gzq6ck75Vl IOhUUgBR22ewEG3ELAJIoYBy8SBMXYTOPqNF0bA85XNVU8fo6YQRyPTGDhjE0qSSWUKEITcc imLvNqWeOkbVKHIHeYeoH6zX2ZqhirrdqPKcrDwWZGytIaSXnKaXynrOBH+vEYu6tP1Lk/IG H5nkVRTtJXKWkuqqagrLDRVDaPEtRbjjrOWAJZo2zz7tlL+lNlmPj62rPOXryL8Z+W1gAXq6 7ni0lUJh2n3MmkrPf/CriIowngUmKEsYbocx2IoHwhg/9WR3iEq2Gh1cDU48Ipov6816+LDH ptg2wYkXpNKn7/ePL9902oyH4/OdbwQmFmhH82BxMLoY3ZNk64h2eBxLtSmBnylne8+vQYzL ocj6i9N5+Q2T7NVwyqzJ6NBnupJmoXeL0+s6wmfJg2fnuooVygtZ2wImOynaWQv+7DEJe6dn wExzcOpmJcb9f45/e7l/MOzlM6He6vLv/kTrtowo65VhzNGQ2EogBu2AU5LVQAwpPURtLicG 2aQxvtpeNIEIoqwm41Y1oF4N6YowjTmQ0IxCxy7OT3778hPbsg0QVIxS5yS2BbmeKgUQH9UW yvElInr8UyQMekidDibEwIcq6hNmpHQh1KdR1SU7/bqzjaKIOHfCc4Vh5tqFEN9waga+8O9e 2p/4Y4Lm/KXHf77e3aEFu3h8fvn+iqk12Saook1B4TAtkyVY4WxG1wty8fnHiYSlU3nINZg0 Hx36ceDbaB8/OoPvHOJK5GkHO4SvEv6WBPSJhx/iLjLBtcVNhlcT/5qgIvF613TZHda+uO4a YjzMJLgZ54K5MkbdkMKAZIp5/jlzoetA6HSpOgdqBk1HQ/AVZ+IetKIOdUAzRmDYip2qQ4Lu 0ihGEa+gtCqN+ijE981CWY8OqEzxQL8nh4ilY7pYeLTSalPHBnb+JBlA4LoSUdFX5K2G6DJq V9pD5/Q3K2mTgWhNuBodPyNlLhDR7Y2wqNroEJmtCmxjCWTFb3OChMkd+eMMeCUySge0ODWg DAR4L32A/nYvGUjno2pwirYfIu8YLcVOnfpRPPLxCfbZEE9kioXV2habLdQifM1mjMaGgbK5 jrD158QHJgmNaxchCZqUmjNUF2vG98RzQFpohNPUtmiXZyoR6YP64+n5rx8wc/zrk74Btl8f 7zjrBNQvQQcopRoelMKLMTXFwPSyGkjs6tBffJ4FWJXsBjyJPWw1Lht1Ku99oMUgkWzDEakN SfcURDa9/LwsUJs6rdJ7m/zm8DCYEDY3xNCooffgzFPG9hO2MG4xjVIPko1IZw6XwAcAN5Aq mcSS2lW3I95M64uuXSmBG/j9FVkA4arRZ9WJ+dKFNtNHZRQDwbkOqW73ROG22WWZm6hPKy/R a2S5Tn9+frp/RE8SGM3D68vxxxH+c3y5/fTp01+WPlOqBKp7Q2KHH9HStHD+ppQIwp6iGnAw 7tlFWXnosytutzBHzbwj7d3oMvrhoCFjB0SgiRyRWrd16LIqfH9RHx3hmaJtssavywCCleEj 7chrlVnoa5xJspaZW1HqGHUJzgwK7qOrlFxGvCoG/okFX3h1oIoUe2a1h+wzzM841GiHhg2r NYUr1/lOX4pvYwA7A9deJ7yXS8ftm2YDf//68vUD8n+3qK73hCY3K4G5fbB4pQedtF81iNJq FA6PQXd9PRJ/BZwSJgv2sn1YtCLQebcfCYh2Wd0XTt58bW5OBomWhHYG8jRIhz3+z8LgXwtT gCh4a5P4NV9FX044fNojrCi75CFRU05Mq//uyIEka1GrJT5hZa100hZg1DEOOODvAF3ewp1R asaAwj0pZaF0vABcJ9e9YjwwGZyXA+DreGrV6HG3F7aAlA+1FjjXoZs2arYyzqShyJ15FYDj oei3qAdzxTQJzaQpQS2Ni27QKuJuyWu5TR0UzMpAWwAxSVT2KkHvAVcZl5jadNULUI8cU4O6 20d3JXGim5FOui8r07PBhG+ZIHGlcXN0MOrEn2MPf5KDAoiCfs8jisifkHLQfCMpREL74o0t EdoNb2+E9++BuQtwgaNR2eIatUChuyVLrCClVUD+WvNmeSAnXHsJjGQuVGRxP/PwFxXQAQ7o WvtVVahQiLQZu9m8nbf/uhqkESAUvEEHNAsubpjxtPZw/8E2M1PnBUlM5VEN90iENmz9QSB8 dkaHoyYhTo2WlARhTrfFJBqoIc7MSlhKGg7Au6sOztrg1DE12uRe2bTJ3PJQL7AO0xOU1dpC jFQK0KNlT6B536Tfl+dRV6ApxEou04WaLbZ56RZcyA+z4T/4zUUlyrfkmSG2N+3HPoJbt1m5 mVmDbyKzA0h67zAm3wNI99bqVHtYm1Ftk+Lkl99OyebkyvcLjYiqphQ3KlMsUHLSwsRsZ3Nc wY/zM5GroYmCMeVltOl8Inx1fjYaRTyR38FO1Ri1pfHYCGtRDix3XKqGuHSjUIwgVcZ5OfDA F7rZZrIj9w1Nm5jgVXIkKJRZqM9XgaT+DCOTHN5m+ED/iJUjJQqOXRtLJkMn45uioGVEfzhd 8g5PVlfFmvFPzwhplI3+fNpnA8aFoZwUbHeoDzpXrqumXzTIE8Zm8JKHGN7T3mXcCNYfn19Q JkLxPfnjv8fvX++OPA37bpC1WpNYgIYi1S4JDa3RVTKauOZ11iNJf/MD99L2258w7EyLvGN5 VJRag0yirkyrEKeKdtkU5il1AnEKNQsG/7MAOQqmwf5wE4Pd6DS0lW5VidQrhmQ3xVh5oM2y AtdoCju4dNXe0B/us9HCXUQ8HjSK5Nk47c5tlru0l8VgrU3CO6tTgbyghFIVNWqh5SgXwgh+ ryl7xzOYinjxItLAaV25gGIMLViBc6+KIBadVLwU1yszuvUA7dBKlLNTkZTyaMtg/TR12+wK DRgrc6vN6To+N8BVGLwuaWTrsnbXBIxeSS+2E9j4ET44X2n7frhWgANZKOWHXghjGIoV6BW5 roThk+o8jNGij1iPdo2VWQ65hxO0SKU4DX08dpU3JfsqTJ30iFFMd1NlOtPWyBYyDURf0a0i Q81eJiToCglTL7OHdm150VaHKPB6uN46lNpwZTye34K98SiQ3ITEO3uuUitrb5lvVuhPViUg a62eEXJWDbCBUyUBOxBA5uNrh3LLd7AX7629Vf4P9ZdK7uEaAgA= --ReaqsoxgOBHFXBhH--