From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH net-next 02/14] tcp: use windowed min filter library for TCP min_rtt estimation Date: Sat, 17 Sep 2016 03:21:04 +0800 Message-ID: <201609170308.dReNRIGl%fengguang.wu@intel.com> References: <1474051743-13311-3-git-send-email-ncardwell@google.com> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="+QahgC5+KEYLbs62" Cc: kbuild-all@01.org, David Miller , netdev@vger.kernel.org, Neal Cardwell , Van Jacobson , Yuchung Cheng , Nandita Dukkipati , Eric Dumazet , Soheil Hassas Yeganeh To: Neal Cardwell Return-path: Received: from mga07.intel.com ([134.134.136.100]:59500 "EHLO mga07.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S933776AbcIPTVX (ORCPT ); Fri, 16 Sep 2016 15:21:23 -0400 Content-Disposition: inline In-Reply-To: <1474051743-13311-3-git-send-email-ncardwell@google.com> Sender: netdev-owner@vger.kernel.org List-ID: --+QahgC5+KEYLbs62 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Neal, [auto build test ERROR on net-next/master] url: https://github.com/0day-ci/linux/commits/Neal-Cardwell/tcp-BBR-congestion-control-algorithm/20160917-025323 config: x86_64-randconfig-x006-201637 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All errors (new ones prefixed by >>): >> net/ipv4/tcp_cdg.c:59:8: error: redefinition of 'struct minmax' struct minmax { ^~~~~~ In file included from include/linux/tcp.h:22:0, from include/net/tcp.h:24, from net/ipv4/tcp_cdg.c:30: include/linux/win_minmax.h:17:8: note: originally defined here struct minmax { ^~~~~~ vim +59 net/ipv4/tcp_cdg.c 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 43 module_param(window, int, 0444); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 44 MODULE_PARM_DESC(window, "gradient window size (power of two <= 256)"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 45 module_param(backoff_beta, uint, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 46 MODULE_PARM_DESC(backoff_beta, "backoff beta (0-1024)"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 47 module_param(backoff_factor, uint, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 48 MODULE_PARM_DESC(backoff_factor, "backoff probability scale factor"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 49 module_param(hystart_detect, uint, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 50 MODULE_PARM_DESC(hystart_detect, "use Hybrid Slow start " 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 51 "(0: disabled, 1: ACK train, 2: delay threshold, 3: both)"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 52 module_param(use_ineff, uint, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 53 MODULE_PARM_DESC(use_ineff, "use ineffectual backoff detection (threshold)"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 54 module_param(use_shadow, bool, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 55 MODULE_PARM_DESC(use_shadow, "use shadow window heuristic"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 56 module_param(use_tolerance, bool, 0644); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 57 MODULE_PARM_DESC(use_tolerance, "use loss tolerance heuristic"); 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 58 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 @59 struct minmax { 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 60 union { 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 61 struct { 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 62 s32 min; 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 63 s32 max; 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 64 }; 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 65 u64 v64; 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 66 }; 2b0a8c9e Kenneth Klette Jonassen 2015-06-10 67 }; :::::: The code at line 59 was first introduced by commit :::::: 2b0a8c9eee81882fc0001ccf6d9af62cdc682f9e tcp: add CDG congestion control :::::: TO: Kenneth Klette Jonassen :::::: CC: David S. Miller --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --+QahgC5+KEYLbs62 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICBRE3FcAAy5jb25maWcAlFzNd9s4kr/3X6GX3sPMoTuO8zHZ3ecDRIIiWiSBJkjZ8oVP sZW0XztWRpJ7Ov/9VgH8AMAine3DTIQqAIVCVeFXBdA///Tzgj2fD19354e73ePj98WX/dP+ uDvv7xefHx73/7uI5aKQ1YLHovoVmLOHp+e/X//98UPz4d3i3a8ff7345Xj3YbHeH5/2j4vo 8PT54csz9H84PP3080+RLBKxAtalqK6+dz9vTG/v9/BDFLoq66gSsmhiHsmYlwNR1pWqqyaR Zc6qq1f7x88f3v0Cwvzy4d2rjoeVUQo9E/vz6tXuePcHCvz6zgh3aoVv7vefbUvfM5PROuaq 0bVSsnQE1hWL1lXJIj6m5Xk9/DBz5zlTTVnEDSxaN7kori4/zjGwm6u3lzRDJHPFqmGgiXE8 NhjuzYeOr+A8buKcNcgKy6j4IKyh6ZUhZ7xYVelAW/GClyJqlvWKbGxKnrFKbHijpCgqXuox W3rNxSp1VFVea543N1G6YnHcsGwlS1Gl+bhnxDKxLEFY2MeMbQP9pkw3kaqNCDcUjUUpbzJR wG6JW2fBKQN5Na9q1ShemjFYyVmgkY7E8yX8SkSpqyZK62I9wafYitNsViKx5GXBjD0rqbVY Zjxg0bVWHLZxgnzNiqpJa5hF5bBhKchMcRjlscxwVtlyYLmVoAnY5LeXTrca/Nl0Hsli7Fs3 UlUiB/XF4JGgS1GspjhjjgaBamAZuNDAtmaaFShwLK8bmSSg+quLv+8/w393F/1/9KC1KuWS O1aViJuGszLbwu8m547V2PlLGbPK2Uu1qhjoEix7wzN99W7gTjp3FxpiyOvHh0+vvx7unx/3 p9f/VRcs52hZnGn++tcgQMD/2eAkXXsX5e/NtSydjV/WIotBfbzhN1YKbWMGhMSfFysTYR8X p/35+dsQJJelXPOigdXpXLnxEDaKFxvQD4qcQyAdokVUgskY9xdgNq9ewei9qKatqbiuFg+n xdPhjBM6oY5lG3BbMEvsRzSDjVQycJ41mDLPmtWtUDRlCZRLmpTd5oym3NxO9ZiYP7vF06Nf qyOVu9SQbmSbY0AJCV25Uo67yPkR3xEDggmyOgOflrpCe7t69Y+nw9P+n8726a3eCBURnSFI gCfkv9e8dsKA24qdoypzpbV2Al4jy23DKjjOUmLoJGVF7IafWnMIxEHUCLbEuK0h4LQQAQJ2 uhVCVuXFHtNYlZx3XgJetTg9fzp9P533Xwcv6Y4IdDoTIsanB5J0Kq9pSpS6tostscwZnK1E GwRvCKmwwO14rFwL5JwkDMP2u+AMbGIWsQXIAugmgrBbpXA2xV7c1YqVmvvTRohatKyhj1Vq LMNI7bL4QdKlbODQjfHMzRgeZdsoI3RrgtpmtKf9wY3jQcAtKgIPOEQMdiyOYKJ5NsA8DYt/ q0m+XOIxEVtMY2ymevi6P54os6lEtIbQysEunKEK2aS3GCpz6W0UNMLpLmQsKA+0vYTnKabN 8QwAPnCKaKMvc1YY+QAuvK52pz8XZxB0sXu6X5zOu/Npsbu7Ozw/nR+evgwSb0RZWYgSRbIu KmsIvYhmQT6ZEJUYBPUXGqXZVXqgnm+pY3S4iEMgAdaKZKqYXiPK1C7VLL2M6oWm9qXYNkBz QGIE0OsG1O/ib4/DTNJ26mfGbjBzlrXbSSgD/q+C87hBIL8O1BnSrBPSa4QgZaYzCQExD9LW 1ntBY0JeXfhi4uog2vFmKSV1Nhv0AGC+uHSwlFi3+cyoxezK0JxJHCGBCCiS6urNv3oLzUVI e+sF8hqwjcUqAJ9j64ZTkK+oIWdYsowV0QwwhMTgzeVHJ9qsSlkr7eodjqSIMlzLakVxMCAT ZUNSogRiCpxe1yJ20xiwfp992HDbrkSsyV1u6Qls9i0v51havE2zKDhCfW/wO8d8IyJOCAY9 Qy8LJOdlQvQbHSwDQ8qjtcnWMDIBhKXNGwEJnDPg58Tc1jQQGJrZ3PnhTEgwF1AljyAkx+Tg mLJtKZPP1qgKA3ZLZ1vNb5bDwPaQcqBqGQcwFBoC9AktPuiEBhdrGroMfnvIMor6PAgjglE6 1h4K0vFDbj/77FFZ5ysFYGxRyNjNciwThIiIK5MymiATQC4VabUGYSADR2mcvEMlw48wiOYA OQWYo1NO0WC5OUTTZjjQg/1sCeRmtrISLB0Ihma9zZ3ldS1NMNnQvtQyqyE2guzgAjODgrtr 3pchHCRcgoWvw98Y/tz8zIlZPEsg/JeeEwYapiwWZ09qFwQlILdTj+BKulQtVgXLEse4DTZw GwzoSbwwBTs6vwcpRFCSwgSdmbB4IzTvBqWDH1qJSVGSmMpAItH8Xoty7WwsSLFkZSlc6zIF lNiN0tZ6Yeymx4gGHLTVQ7U/fj4cv+6e7vYL/tf+CZARA4wUITYCXDegBn+IXuy2EIFEWEGz yU09goJFue3dGMTjFa+6UpqbzuuMLT3XyGo63OtMThHY0pwlWHNoSjioJL1rsC0Vzw1KbyAP F4mITOmI2oZSJiLzjl8TLEyId32O3/BoZOHSdqfCmNmljj6M07UYJGFs1x3vtzpXkDksOW2n bTmHpJn5TIkYwgJ4CZ4wEeLMKdl4AmoRuH914fcIkAhaAaIpQJmAX69ZWLQQoBQsjIJwYVq7 DutPtrXkFUmAuE93sK1Y1UmoUO6FpSGfNqyplOuAiKVahKpiVcuaSLE0bAImJm3ySJQJ4Yje whGPqZwJ/KacFcxS8hVE4iK2de9WtQ1ToahRRskHfNYTA1p6DV7FmYUgAS0XN7CHA1kbGQIm jErQXtVlAflWBb7hRpswthCqNVRi4C5ilO2C4zoPLcXob7DxQLHdVjaaJaCWXGGNO1SWbbUl tglaLGuv/DtMrXmEkakBB6xGq14B8FBZvRKFFw6d5ilPAg6zZHQAjmXNAPz4RBry+DywMwWf HQV3oM7YBKYecYOFSjK3HZRzLaoUPNxuXlIigA0VPE79XPJ0muxFi3GmPOG7BRZqeFu1x8I4 xWcq+nBGkaamZVI1MYjlVJ5yGdcZxBKMaghaEPsQIvIbCKQILbEMhioZGau23c0pNL4gGV9R BQxmAjLA+L2GW692D9S27dZUWTio3by2BiWCcsygM6ZT0m6Ehny0NkFqKhHDGs1wciTJuEax iuTml0+70/5+8adFJN+Oh88Pj7Yu4/iV3LQFXsIsex0btu7MDPCudds2aNugnnK0GCrngogj isTNUyoA82DPrpkbPKoR8bjlhtZkiFE7YzLVjAxOGj+bW2L2T61OF2+GSevC3A3BxAr8ry7m SgasknjqlPl1wIHmbOrWsRnGVCSnWcrrjqGXlcjRzXap4+Fufzodjovz92+23PZ5vzs/H/cn dzu76zEaj+WK0AJeYCecwUnEbb48yGtIWEDt6HgB44mLHDeXYKgUMkVirkyZ1zndZRYnQqfh KBDReBHjVSSRp3iceEWbNZnSNAJDFpYP47RlCao+LXXS5EvnZO1a+jN/0J0pFsCuVzYod1fF VCzfwhkMeQnE+1XN3WovqIJhePays7ZtpthxwynIvAbg340/5J6bvM0cElo7/XQzZdKQNaie QejBYp+9thy8c/2RnDBXOqIJiOLpK6wc/YuQqK+Wq9o3UrMVWH1o78ttTfCDy5K9maZVOvLH azFM8K4Dq/QbvyUXhcjr3ITkBJBotr368M5lMJsRVVmuHaDTlp4REPCMu5AVx4EoY2183Ax2 PW6MINSy2sVRilfjpCbOBaVSBhsspPfwAzAdNG/75uHgcQkNL7DCCufjtrsEpAL+tZDeBb7t m/JMudCvMM8P9NWbQUWc56oaIbCufSMzMFwQhrZyy0Ummra/sXsn+CMWrrip0fk7bCAuHsWB iQjZNXqRp+SlxJIPlszaS3B0FgQw0+Eq98OTDfhO/eDr4enhfDh6VypudmAjYl20efEkR8mU d3KPOSLzrIbWqcNs4qu8nqglb/KPHyaOg+62reF5nY2wkfi4puOBiMBjwL2nNaipSGx8VtUi hHYq3cIa4rhsqvA5l31whZnfNNneXEL8a11gkty6RUg3Pt9dYAN2GaVgGB+aNe5mg0jfcZ4s 4yswx/bwQYhZc3yGst/dX1yMn6HMTjXImbOiZhQlzGztOOBDmrve4yjkBjBYzinSBv4HIXWo s4HDVLgaK5BqKrniVepVeMOxxuIt/aPKa27MAeF1s7stwCTLmOjerheO8rGtmqHbc7BBSGuG pyKgygA0qMqIYILcO296q4+ODR2rIqVYonqkk8e1DbbKF7XydZGaaMvFqmR+kytAl95RfDMO Y8GExITFAyKaOsC7xyLGEOx9eFxevbv47w/uleQ45aQurt1na2sPikQZZ4U57Kkk39yhDLzg 6jPXTB01Ia+9MExACqiv+ovJWyWl40i3y9qrgN++TQD+EkPd6rx7bzYE3PbRF+hKTV1kd/3M c8gZxGQem3UlwqmsBnaHlyWmLqaQZh8DtifiEKOxImcoXf2BenxjIPKmq8IE6Y+2Two2oL4k Y6swQcJ8U635NkhEzJUfJOMS34iVZa1Cj0QmdEjErXnnNQOrHWDilMCIVm4webx2AFxelY74 +KvRDPQhbvlke+dOXey/mGAzJo7lI8Q+HfMbfzWK0S8TjJrGhXenp7bbTORNgGwn+rT0Lsab mhXqrd2Kfiye0GWJtqxHZUS3zZuLCy963jaX7y/oCvpt8/ZikgTjXJAzXL1xjj2TrKUlvisZ 9sncHXgxylwmTFwcRCXTaVA9xTAoEA6Ct5X4/PONf9yWHNFi5Z9vfWnKlDV8mzZBzPTSxCzm OgBmubSTDBfP/Yh2s0hdIVCItgPgKszV4g+xWmxGKWU0aFgfzWNTQgE3pK9OAIKIZNtkcTVz 1WqO1gykVcG7Oue0as00BXfPTKZuQfPhP/vjAkDz7sv+6/7pbOokLFJicfiGr/i9Wkn7UpkG u5Rj4UCONPCrU4jZcj2UnlyBc3w33pb9sIuKo2CQ9p7MAGr7rl2Pn+YbTnMWrdzg4zU37Y34 ECjMhIAmEz3G6y5PyTeN3ED0FzGnnm4jD/hKexaOpmBU+cdQlqwCoLod9VjWVUXeBBrqBsSQ wfQJK8Jl+xW6bq02s466DwTGyjAMU1NHta4kQHcNJpqED5FDjrmSqeG1J3itAFHFoT7naMGd kxU9EngpG+SnKh+n+lZMCfkxOOPkSlvfAVTgZ7fWJpc6aAneHLmqyAGoSwrWtLYV1/gGNAWQ fY2Hniwy5yZg8Aym+OgCsWv3b8AI9oFzlfJQdtMO+uOMUJQhclH8NrUAy4DfRIzKgrGqkplM WGGVWEK+tAquvUdbBf8mMaZOxNXw4HKRHPf/ft4/3X1fnO52YS3fFKFK/vuoloA9xf3jPmRG LDcNMPBw0j0fVkxU5j+FMuPl+6+H4/fFNxN6T7u/QCjndYP4FxzmdgCwM/yqhBWFm4UODN06 l8+nLlwv/gGbttif7379p1P5iJxtR6eIRWmLaM6TFwE5hv0x8ejDvl3W/khRsby8yLh9EeKR OEbjIMfpHAh7Igs9U2tzTgNE0jIKxEUuQGC/cfKZnGHQKh91graZ9MVhmarP9SzGiDXbcHKO ibdiHiM4A/nGPxL2NotMH81OaTFqmHh1bnZu4rk50kr72U6HEvyvPkwArWqnGJlW/vtz5GBV YBTCLfqavS4DeRXTbo0Jm4KbdcdUpizIwBQCDDks0Ux3pDW31fv370l8HHK2ieHUaDr199Ki K/DFPw6n8+Lu8HQ+Hh4fweHvjw9/2edMgS1cmwuYufvNSVr78IIKx3ncFEtX01i58Q0kjwT1 4QsyWv9t1/LL3e54v/h0fLj/sncC1har6cMM5mcjL905bBtoT1IfnlhqJcIxQOFNVft4ueWV OhVL+s6uBEXE/us3N83b6mTZLYn/vb97Pu8+Pe7N164LUz4+nxavF/zr8+Ouw79td7yGzSu8 PB8EhR9+CdmUIDEH6is3eNmecgAs7juzdiwdlUJ5cdie4bImX4bbTrlwL19wwjbnGkyCvb0c 6sWTJeCbt5cTWsLHuGhTUrmenUfmGtedaZNTIKbg/dduxf78n8PxTzjiqIRCsWjNqaXWhbhx 58HfcGoxKordJO4jWPxlPi4Nmvynr6ZJ10sI4pmItgHB1vM8u7MdACALDTkyhTsMh1CY0A/D gSawGjBqcKbo9swqrful7IPd9huZYWcVvuDEQwWyYLw2obAqMNkrlShj2ouzQFGFCn83cRqp YBZsNqUhOuZYhpKVVPEC1yiUCNQgALZjkSevb0ICerkHcXp+agji4yFUl1lyuAqR67zZvJlc hKXTd6p6i5ViuRYTDxetRJuKCrtIq2N6YYmsRw2DErRvEg3z7v1NE9eU1oWVx7c/02gsM5TE UMhG6wJY+beFZS+pDjnmB1hyHvZFJw6liFTX7C8UNRg6vc+BVLApfCVGfViAI8M/V73TuFP0 xCX5FqMnR/XSTfb69muY9lrKmCClle9QA0HDP+cmS7dL91lX377hK6aJ9mJDNGKZyC+p9aRM kYMXkmjecpYSzSLLRCEFJU0c2YWPVBg7e94djJ1enQfc7YexgY7GDKikWQ6jrhc4CvqFfMfQ be8sk1nwLAcsfZZeBnIE5E6FV6/unj893L3ybSqP32sx4R5q82EqbOHn6lh8zllJlffRsVSl 2uMj8U8v01elW1NDgQMxV95DSOAIH6n2TWGNZiA47mnhweG4R+gAqOwMkDn8uyLuWtoRQIiS fjM+8MC/wHLXlAAtyXzaOEcPvrseM2TSC2MFflxSFObih5ItMR/l9Z+gDs22PhoM1RZNYS4A aORwFd4np7Gr/QRvsyvmD1XhN3wr8pUUEjVYQLlsv8f2uiElfIbpkNsvKsJesMiJDvZPGnjS hjo2TdJNMbCp5L8FJQw7fz51BYTkKcn7bbzp9W7M7MYkBydI375+enja3y/avxQxJAVu1wb9 iTKOG6O3cNDz7vhlfz7R9oyvlVm5QgCA38ZPefKI21zZ6ZoqxpPsg4vPDhtr8tiiWNPspcHS 6bgz4sUyV1etnWHL3O+MSAZJBp6BYWbvWo4iCZ2bZDLm+4OrwxTAe+9IMVWcjDgOgyrlzfYF nkjl7gcyEzxSVYClDHT3bBXS4rs/Zuy+wr8CEcdltVV8UkWWbamSl7RjGaPuI9MZFgic3rsa ikfVs/Q4iuYngVj7siToILMMPCrm6Vq9oDgMXiZc/pj6ZvzQMthc4eXI0nFDMjDxrmTEnF1W 89ro/+DU3JT/j8XmLHphsB+JOS0nJt5+1kNwFUmLFeYmlfoHbV1eF5MhznL0hYq5+dS6Qg/8 0T01x+qPCTgfqVoezrL8BY7oJXfVUfWSI2gZVo1mubuizY93KKceDxHcNrD+mBLxIHthbTVZ kxOqBRDeb/PH3i7fOy/B2valqPC5mCDLBAGL9RySGGT+qgd/jVBT7e0xGkrUUnHEqVpMwDYn vMMWVs16chARXBL0abu+MIUdfGqMH+rf6nBqDJHQf0SkZTPfC4c7v9HBgBs9/QeFDBVArf0m 681l+9eV1EYvzsfd0+nb4XjG75zOh7vD4+LxsLtffNo97p7usGJ7ev6GdOdu0gyHL51k42X6 LqGOJwisO+UI2iQhqH85FIwUoxsXs7ITYBXE6cdQ8rIcD3ZdTtRQgZaFNoT8GR1JLDWhknlL kptkPFq2zKji00AsQ7XEhEKmPouzxIm/xmGpxfjy2+gQhpxUI9hub1IfnT67b98eH+5Mlr74 Y//4zfRsyf8zk88PGW7Mk5KZ4oXzIcmQ+Ybt5nZcFG25e0y1SSJBiPGLkYlJWKm8ZofXTcYx cZ+of1viaHxSGtAokITqE0+vvUXWKd1uMaW7oT2p/D/GrqzJbRxJ/xU9bcw8dDRFXdRG9AMI QhIsXkVQEuUXRrUtjyvGbXdUlbd799cvEuABgAlpHnwoMwGCII7MROaHUu8s+NgaxGoTkkQz XPeNpvYGS291O3Xl+9T1vY+FZDN9A3AUki25I1SRyx2u/Ay6+yZDOWH0++39Pxh7UjBX5lu7 r0gMJ2eF3Qe2maCdz3R0XOunScKMUp68+V1WXVUtiIV3IhFMucX0veBJHW7G4fnTv61El76o 426DPYWaejn8apN43xbxB2plJyhG78BURyBgtFPwN5pf2SsnDgQ/c/GWgLhILJgH5Kct8HHh uc5H0k90ThcqD+xT7YAujuE9NZ5dCYYO1myzm/d6QRnKxBVPUENK4wgob4uFSosT5MSBumiG c7xFmMU5pyRvoyCcP2G0dn+2226wsjO6+OmJZLv11dTyHlem9i4rf+IqcGMvME2Xw+j5XiTF M6OacIW1gZQWxkt5KHKPicEZY9ADKwzbU4+4w+jJfvp5+3mTs/NXoTdTa6J20i2Nn+xvBcRD HSPEnXn231MVzNyEquxYpOLKPgbryWIX+19IcpGaavbkOhk0PfaYvYq79zQgEXfOI4QKr6vt DNqhJKrCDf3w1PXPpBw9FEevsawknnZPd2qmdnpYT949+TlYMw6He91Vctdm1OTU3jj0HvPt +e3t5Uung9kDjaa2+w8IEGDPXc+JYtSU5wnDEh96CTWfl1jZ3eVOsZOJQ90RejQ7hzpxyern inOJU9dT8i5VQLCTJmrf4p1mWlhqZm2Om0bRlS5lIaICh2V2MP5I64A5RiBng0Xd8JGOnsfX ejIQ2D2ngSHQHQBNGXaypMHgpWCud0u9K0HDLXuuHDTIqOcmfEVCjXUtyQHrRxSAOj1SY7nd Ekh1O1v75kBtfce/hkiCZncZAjn1VJ5BbMnD6r05bkXJ8rO4cOvbG8R270JxGSyWszOmGpy1 z8uYwZBFyIvHDATftj+r9MRTZaW7UgCl3QvjIyoKrADW4a+iSlPGCQo5CGfO6LdN2NkdYOlC ziWhj4rRA05Q0akZ/CpUjmgHfknsY86ODIVgB8BCHEeJSayU0lkaCLu8tjaWX6x2PTO8bfZ+ e3t3YsvVY4+155AVFLKqKFv5abhlahxIVpFE7Vc67FJq97f3WfX8+eXH4KixDg2Jo9KM70+w R/MqIX3l/DUhVqWDTEosSGzbzVbBmLK0MVlnK9WNiky2JPUIJPRPFenuagDAlFQQ1OMHYgpR xfHdAH1iPeknfv/y+vx6+/yL8m19vv3Py6ebEXWrZASvppyh6rq+tlJiMOt+fP/Xt9vUG5YU ndnb/WaCj7Tx89Cai6voOLjZwY6QgDmV6PkFzxah3BGntae8Znoy+wpnZB0ESMk9r2Ke3ilH y3AeYiULwCdm6RGAzH2l5VuHQZAipSEBVpzuFD2KhHz8CAmhTv8exXa1Hanq2+zufMiTiPvR 3q8WfC+3N5bChR2mvSM/nEXJqOgI49qPpi7t5BJRlWYqUEeZJr5UzZHgjjhZ5kg9gJB1xeTI UGn8mI574XBZhbA8wnS3B/sEN8BTHk+Yelr2pb7fbp/fZu8/Zr/fZrfvcPz7GQKjZ9K+VgJj //YUUGd6p3ujYW+DsYGZeUuL+tnh7airOcY7bardkZurrP4NJ/vW23VknpcnfJPuBDTMnANb 5wrtSw9MKqzPW/xslBK+wxmshDNLHAI032Fu3vTi7pUJgO/DqugY7+xshy5l5KpwsSYMjdEG wLEf+BBykugZktiLoLqJ5OVTR54V00X6pHFSNfYMauyf66y00xt7mtzaTjn+ieR4yROS4i6f stIPlfMvU8lvChB9fMHdpU0LkthBRoMwz/3YbAC1QQZRA0x6qFLDQA5QO2P1mIDcltI0dgK7 xkmdSmNBBdL3EfqeMECYCknFz54OVmx2ruxgMNhQRtQstGYD+qkD9MK0VVMKcn+cSzXkLLLg D/TvlpvY9B0ty0wnRC9o5gpBRoG6vygBGPqdqfHvWE6Zi3atkPEyMg7iL88/v+lcmpd//fzx 8232h86kk7v98+zt5f9u/z0uTgA1IVTGNxhOYlyRBoaA3H3NdOAtBjbAUEPCyR7ft+2qOO6K soUIZlIrWAxIXVfBLNGY1Kd3NmNLk//kE6ROBX6jcYawfby2vC3yJ3iAFMSS3FZ8RYbEdCVj rDuSVewGqlUtqTbTKtW7nN7k+pLp2DkF6lzD2aPOsJmlz//r5EOphxSlr2nwDA6ZLXIgaXOh HyJSi/q1KrJfd9+e377OPn19+RNLt1Kvt8PC9oHzgSWMOtMA6HKmDFfOuFUpk7BQoBm+RsNs iIlU1NQdBe3crtzhhne5S7cFDt8DK4c0Ao8QRiRRB0P/8tx5GUULsW7iS+8DFTu69xQA27Dc FUPnZ3LXTKZ0uc2QKVXarKlNlaPGIRQOgcQdfJPO333+8084Hu+GltKO1Fh7/gSIk4aCVOvL +WSze0yayaQB7IoMNX0MrpxynnIwGeHGLlLjoBwgKmLa7ptmMl2zZLNuKg8UOUhwerjLZyIO KxRRRb35MQqWzaQvBY1DQLGxAS2BIxWd99s3T23pchnsG7sqK69ZzdESQOYSM/5ZvYfCaTkD OnE16UepJMoB4HvqENnYf3xx+/blF9iCnlVAsBTy2h+q+oyuVvPJQxUVLiLYcWxDMGScQzzV g+lkxJaHCUn+cWlgZNZFDXAsoKQrFCmbyyoFJAvcedhtRMnL279/Kb7/QmGITzRJ44lJQfcL w02iPOS5VGiz3+bLKbX+bel8f5Jj2YRqN8gZcJ19SBM1Uv61vVS8ZrgEkrtrsn1pbqZM2MDq v3eGiuqgtJTjY/Zf+t9wVkpbrlNMPJuPLuCZrCXvhqn1LaP5339P6Z2wsgSWKqXDvpsQZE4x nxDaS6qwmMVB2vLuOFACMYu72PwwcHngjnHQknrWPj2xGNtZ7QVMLlqnnNee2wklF2acBeg/ 0uxZL+mWjil/W74q+TtLTMUUlBenApWy7lTiaE2SAmAv+PU1LmiNtP6limJHz42EUW3TpNZz 5Nyz9wLFCOi4pImizXY9eVArp+9ySs1B6zN0dysbVKWCKoMjk/0sld4x93vqIpTCHbqP3hNf 3j5N1VW5a0rzREAc2yI9B6EJK5mswlXTJqUJz2IQbRtD2k/Z1f5IPM5aIowFrjyQvDZ3G7EH KAJqdEPNd1lrJ2wr0qZpzLgBKraLUCwDa92WFkpaCMB0BuAzjzl1kCZPauLwlInYRkFIUjto T6ThNggW6IfXzBADJej7s5Yiq1VgvGrHiA/zzQahq3ZsA2P/PGR0vVhZWloi5usIz4WNszKI VvBNUDZ42rojjJ0g22WEo5EJZ/U0xnruuTmEhm7MqM7cZyUoHhOXrKa3pA6Nr94RNfLUhCxN snW0WU3o2wVtjHlF4808cMaOpjk7tEGU41NIw1+ZBf1EqW9/P7/N+Pe399eff6hLbt6+grfa CMf8JjWL2Wc5oV7+hP+a1+W1Zgi2Obu66aIeQSDQ6Xm2K/dk9uXl9Y+/ZP2zzz/++q7CO3UK 01gpgXAvAspyaSXyamg7jpDajGHUurFMo7N2yJwzyiefj38HRS/jVFm5WpmwDgd0peqy6ak1 KSjfeQoCCy1zLkq7SN/KomwNkIuxYQeA7RikHSYFIAybqRrllf/x54BGL96f32/ShhgQ1/5B C5H903XOQYORxhpea7g/tq2sAzip51yemPt7BHZnVaVu4KCwmV3NqwIYPeCeUNqkCobPyyS7 U+e/anGTXV9NkQwue0EF73XmyQQGJuSOW84uoHkh+oHZnWgiD9+dhIXLqn9rR/VeK7mjl0/z 0mK/dxIA9OdkjM3mi+1y9o/dy+vtIv/8c/oCO14x8Mobj+wobXGwwWgGhi/UaBQoBI5ZmBEq 50oBuIvqE3gSETr/n6EHcmNiq+NPa2GLi9y+elbtv8YS+XQiqY3pmatMNZJNKR0UwBS1wRao ilOeVEXMc6+EQnH0ceGc7czAH+ukahky4MTV91baXhxCIbAN7eFzk6LHqPqo3qxlj4YCyroF s2O2wPwpUjeYo6P2FzThH9I+iFZHzIW69DSvK/kf84PUp9z60Z7Vd1ZXQZunamdmXpnZRQ9Y OnSeZg4EshPhpylS5QzmuHqsuIFtB3dkX2Rvx6aoa6RnFtk2+Ptvt2k93VT7+6fxrOWYfBhI jQtpXs8CI2F6ZgZHQeO+7ZwxS7v5/fXl95/vcnMXf728f/o6I6+fvr683z7BLSSYcdjHaWbn KGLrYI3pgL1MTLNW7AxPYbxaWD+U4dOtCw4DHEcYQypo8YRhN6ppmjssaQAWcoKFzthWQk+U RNgSrTDLrQFnW2xQ/szk1K/aBXXgh6RuaAepjWfq1/JQoHiZRn0kIWVtQ9x2JAVYC+uv93iw r2LPKk9W5CAiNSw7AodQlnNPpLFWx2rxqNKMfDRnJcsJ0pNWARuNMkui+XwOZTDzEga/Galn VlRRawZByBh1NpCebBlQIFYV9Ah3sD/sVniVwg+804udpEKDKwZ69UiYD4DPqEXvTagj05ai Fu5onBO0gyg585OxT9UHubMBRoTUZ0vLD2JyzlgQqCkQm+5Pk1GZjJQ/nXgyjXft23ZgqUBj oUwhLmhhDi3bdUabFi75xY4rfYMvcbZAuSGlZhJhwsJ5sGwmBLlwpOPRXV9o7D8gtNkF8zh1 POtUUtNyfZehUwtQ4ZbCjNd877t1M2HLxjAVLzwHVamNlobNnWTbeWBMHVn7Klwb76YR99pG xVF5vlPi0WcNEQB4M2+cjVmYT2M2e+GP7qxDZBpiucdFiA6Uc7O3DT35u7N31QFu67ut1njU 4UFTnNt8mAZDN365P5n7W35K89yS72PrRyt1UYtwNuJ9eWNJy192chMQoAIsXq3jxZMC6Pzm S7Pl8GtSVtLQortsHhzRycajcGXu0h8yhsplpDozU5/MzpmzcmSgNEpdA1saxdG82RB+IZeA ARVUZcFRrN7jNTSruIbTKswGy9aSvMA3fFOO08rjTzKlrhW2buwYSfPG04KcyI0ZvRbKFGJw aWXh5HrvVJzpGY8dMkuf5fLtycrvZYqjtYABmLQ3vb0DWZSruLRqH26FT9L69Rkfg4w0/twI 0CdJUDv8owcASEDNHixtFYwYItBRW5lo8NU6WAaebwWqBhpUY8gIkomTaegKNX/ZBJtiKMBs tGhUhvuMSUsIB682Xk7+6M4hDIKoNLruOMVAiiYc81ugD87QAwVTolbXRxnPrTPQ3Zxe6ah3 bknvJShHv6Q4WXesluU1Y8S+hV5+G88F5xTCtXP8Xo2cnx72wjUvSnF9qGDW7HDyIjz2Msbr 1YAWLC5yDzTPGHQ0NVb/+dFUv/CPzq6uKe1lNUcv9hjYC/sCkY4OwNIa/ttfFmR4PgUJN9gk x07Cdkli9EXCdk3j/OwVMmOH2OHGgFRXUERjlUAQ2ypAebim3NiyxUVSen8j7Gmz34doKuSc HuxkMKdPOXdsFs3idUzQW3s0W3aHBWpqUlVIwrTGjgmdUTFvza4hoYgHDtHKzMLtUIyCdmam SezsBIfawJY89A/nM9ld0+4xbUXoYtxelbtBXkt11itQR8Gicdm9zkqzDbgN9Ocaj5toFm2a O4X0xuZ89d6Mc2ujXNptkwb2o1L28VimJ5bRIlpGbkWKvN54atqpW8ytejgtU/mpnWr06UZz IVdPTRCPzup5MJ9Tu760qW1Cp8I5RKX+TGkFmABuYxQDdBpPW3JlCpHULfeElRm43S7vqRO2 ILt5opZae2NCh7KKyG/MqbAFz7xmQjC3NQ2X9pKcbHIshxX8jfk0LIuzLC1LUv5sY5F4rmMC rly+UguxGYguWALQstLGQFM0yMX1mHSSX1jV1nYzWyI3K+rWCLS2rtHutV5UpAdTpwBTF94S QinsPFzFghxc/BpqMKbBhw7/M85F4ehXZzOp8wezQmBRUmPaBrCO5GK5noFWAm7rSdjEqk6j uXnaPRJDmyj32U1k7jlAlH8st0TfYgidmG8at8Uja9vONxG2PfdiNKH9hYuTKiSvZQzTikyJ 3Ezf7xmHk+wZ7ucDI4t5hj02ybZr1AvfC4hquwmCaaWSHqF0OVc3K7dPe8521aAduE/XYXCv 63JY36IAKwtLJp5E0UtkVGyiBab89BKV1F5ECyekePeJUyyUTWTDJE9FbB5JeZut1gtn2JE8 3ISTd9EpUp5GkiqTy8Fp0nmsFEUeRhEew6umDQ3n23vv/pGcqtNkIqrXaqJwMQ9cn+9E7kjS DNVLe4EnufRfLrZSC7yDwBxGfSm5763mZqCNStAqD45doYJJOKsq4j0YBZFzuvZceje87mEb 4iqyo4/D7/FIIHPMU1zM04W2TObxQphSd5zPppjjkzVZvbMMrV6BZEiL9GE7OlXisRxLOMEt eFOsInZeksXT2oGvybK5Dyq3L0UwOaitZgp8vCZkCPe4vEBCBpzkf7u9vc3i1x/Pn3+HG/Am kWw6cY2HyyAwVmSTCsPOw7Hz3cZ2owfL56yBs5exqt3pA6/FqWVOCFlile4iTv78+e6NrVA5 c4ZyCj/7/DqLttvBbYGpFYCpOXDarPO2LbK+Z/hopQppTkbqijcdZ8gF+QZ9/PL9/fb65dnq 5q5QcZK6iZ0ebnPaUpATFjntiAmpCbO8bX6bB+Hyvsz1t806cp/3obg6meiOADvjmeo9Nx6v WtQfxxdArQsc2TUunAt6eppcmsrVyrMzOEJbpEmjSH2M8Sc8yU15gy+qhkw4Xz+QSY/yCfdF vKmXloQacB78ukGwpmS99OSymELRcv6g8/RoffBuWbQI8chNS2bxQEauD5vFavtAiOIeqlGg rOYhnuo7yOTsUnuuARpkAIUCjnAfPK7zlz74cEWa7Lg4IDlpSI11cSEXgpuRo9QpfziiRJ15 oG/Ht5TrEJ6CZIyThZw+D8ZAfUmXweLBJGjqh02mpJzPmwcPiymmGxiLmGHlw0+5NtrJVz1R qq94Tt0gEF8TvCScCsh/S0+exCAnrVJSei5IGqXotaycpPWRqe5KKAuptzx4FpO7es0oFr5g NIiBcuSkfozPKk70cPTA649iu4KCwkJxlW+UO2fq/3ekBKs48V30CwKkLFOmmuV9LTkeVtvN 0v3q9EpKMn1N6CU3btsSOIumaaxEOUXu/JZ26/uv20Ubuy83sH0G3LCpAh4zpkFqAQXmaGgq +re2myijxL7Gx2Dy0qe7G1L7mmJWiiFxILnUzfZoA46x/OF5fue98FeuP79U/KS+v5xqN+q7 a3XEP+Ot2980LYrKLFoHTVvk1mVjBtfHJMlmbsZdmFQ7BaPjgE0D65Zqq8uNM6IdNa6WtGgC /wXGvabYbDbr7QJOgmp7wg4C0Xa76fj+ejK50Zveoo5cnhbBlCznTG4bT5q+L0M8rKhngxef MRwWwZCpeVp3Ssz0IaROiWjjGk0a7kXgis6sqFnoNh1umZet79jT2o9N/QHTA3tN/sKqzLmC DhhX1ltuTn00mwe4uqL5A+IG8oUmovWpLS/VgyFRl2K9CufRKIrMGb0V/ye1dZJnHlfEfWvJ hKPkgek85eTHG+m6k+5WwXqxaMsMP3scxKLVBkOO7PiXrBtWbgPVaKqKmlRXSEUqkqlIQrbB KsTnOfDWC5x3kdrqHNYHZIQmTbpY4gqKluAZZOTde2eakUWA+mG6GhImZyGktcr/xWT6WtU5 hMVNj6qJSarY69V99mbKrjK+dKIWFcnZ2hRt50HT6Zh4zpRm2lqiMgQPz6+fVU4O/7WYgYlu ZcxVTtiym1roSKifLY+CZegS5d92EqIm0zoK6WYeuHRpwzt2YUenoPphZwKKnfJYK5wWtSIX l9RFtjraafcMEWb4dctd2Yq2yFNIGTvVnRQD/R57kjE0mYx+fX59/gTg0BO3T11bx0xn312l W7lG1VdLo9XpZorseS2pCeSQCQ1gOJUR5qECVyY3B9ArTUniMdCyoiHaD5iiMXuKr852rLFz zSms9SbkZE+TatJIzIuPhXmbPDch+PL2kNgQvnm7F3jUhg4QFPhB2GA3Or2esHPmiQKRrKPD 67L0X1+ev02P+rtuZ6RKr9Q8LO8YUWirLwZZPktaLVTumMkdqA+zgJVcazJ28KWOOI9Ok0Os RvjSoMznUswJakrkVXtSCC5LjFudcrip5J4Ia2qWJ+alWyY3I/lV3R7y/4xdW3PjNrL+K3pM qjY1IilK1Dm1DxRJSYx5C0Fd7BeWxtbMuNa2XLYnm/z7RQO8oIGGnIdkrP4ajQtxaQCNbkbj wgkQfs2LG7oRfvJteM1CW/OsGb25QuIp97RIfuMGwdFStdRWZz7CDAQel3fmUf0pYHF5+Q0S 8MxFFxUvR8xncDI9fIEMeTXQAKW7YAa8sClEa4rf1bfUHY1FUXGsiMaWQC/L3p4scuYpW+BL Qh2zbE87tm7Z+L0JN1BrQpDG8XmpugSdOCsGOw7Zi/UxoDKtwl0sQjk7ju9Op7bS/bOSdXYM FWstdcUM/6Cq6mONkWbtBYDx2UFW29HAunKNBJw2TiejR+MO5eOxzSqyoUfoSicukmNYQJjf TRqVmer+wspilZYnRXvneIr5Pvj5rGo+GStzsfit6tZZZUqsKnQJst1Hxqup7iGdkTSt8hQO GOIMB9kAY5oQXnOIQ1MSkYGpNEg+7ZTXfOsQv2sUDIy2kZQYS0mrdMAO4PomxhEPZWFg51iu qYTbw/hIc0g0EEX8K66d5aRZxMhm3GeOUJjTJ6ojh2ZQSXLAl/mEqalohaPY086Cam85V47k 4BgvjZDro0OIn4tuK8vlNu8cGxHGU7YXdZoUbaCASkcGQsp01xaSarLx+VYe5NBQyikFMiVU 0WK3LxsdLNRDKSD04kfNL9oMgi1ViuqVnmLPq9mK8Ja0OtmVizWed1e5M8tKwrtTlHGleiwi HzW6fs1n1uyWch0AMs27VPVoDByhiLYpuYa4Qe/NgSqO8XndS0yWsWo1GteM8P0qJ0rjUmmr +fPp4/H16fwX36xAuYRPprFw40CFL1yv5KmB8E2f0MEbO/nacW9PraJw6c8cG/CXCfD6Y2Ln KxN8S2KA5SvV0EuUONuUq7QxiVU0uqzmtR420ODRYay9dFUTTbhkTv8BDhzAUdfb5ekJ9nbG jasQnjq+h4LaDOS5Z2kvgR49rZh5vPDnFK1lsyBwDQReX+r58m08ZbslIIaOWwUl15qqStPj DJN4r6ujxCWJvGDLwNe+Ssp8f2kS595ULyynLueWoyEO2ybiDuOD2hhpMI7o78SiPFV7wPvf 7x/nZ2nV3Xnh++WZf/Cnvyfn56/nh4fzw+RLx/Ub17jBPd+vWGQERthmt+c77HRTCNcleDbV QEWvtzBgZw8augpv+V7YYpYDvEme7OlzJUD123MFKsU1rtYxolAtMBJVHUPLjhHQ+sY76p0h b9TXnECTWmn/gZK/Ps5vL3xvw6EvcjCeHk6vH7ZBGKclXFLtXE0q4TNLIbcZHIvZil2uyma9 u7trS67iYLFNWDKuZRkN0aTFrX5zhfosn8d64wxRz/Ljh5yGu0oqvVHrvZm29g/EztmQ9TtL yyH4op+wwCz5CYu2to07i4rWEFlFPnTbqmc//Ada3uT5Jlc5x4l38IcgyE+P4PNIXapABCx7 xmxQVcxcdzlRbUj+0xIFAFJ3uVELJCSMshQcTd/Y1CyFJ4vRtZuCmJ7eRqybXYbyfAeH26eP y5u5ajUVL+3l/j9EjZuqdfwgaHUVpgq8+WyKzeMhR/QmQigAg//ojliutYlP+s2U7tywJDiF gWcDquoEnYlIz27Zmmm00fGiShWmL9NRqZHOEp9Pr6982hZTG/EIRaRczLonRNTxYTUcMus1 y+Oq0dvkIEN+EaUlp0rJUFvNlgSeWkwEBJjdFkfDrgE1S1LcOe7CyJU3bEQqzQLdHwPf1yoy zMcq8W5o8Ip3sN+65oY7CK3J1UTrhYPOwmQ1m4AoJWmy0EOe4wzZwwIusjz/9Xp6eTAz7Qzd jCw6OvRJ6/eP1UNXpbdNKap7NPLo6HoemEmovx5lf9jBcMtnymZHx59aUzVVGrmBuJeRw2Id f9JMdXpXFqGRTVTfskacjezpZUMOAHFbaCvM72Fxh6ODyj5cecuZZ1ZMN71C9ZIWVZokcbc7 DeaGrP7S115ywbF0aPMryWHaZ2mw/m5Y0OVFqC0VoD6ZaLmcmesPV6muf71hC6BSVw16vyK7 ZNam5VYj1nHkuY7Oykp4z5aN8VFgcb+8fT7kINqLx6ZBnw70oKsJkDrUAQe0oTk4rTZtCcnO b/997LZu+Ynr56pknqSL/wSWmKUaOGRAYubOllMbom60VMQ55FrZOkif0NUysqfTn2dcPKm1 waMfXZ5EGH24NeBQxmlAJpUQGMfHelQJitXxUE0VGXML4HrWfD36fhvzUPthlWMxn9I5LwIr oPeYAQqSKWUmMbCs/nAX+A0wHEu2bFdV2S1N1T11VvAotIvoN47pTgcI4wjivfEuQh89dUYT 0t8cVVCJVzhioJxDzFzBE7KkEqK6YgxmXqO4HgmjJljO/NBEhs8yZKUiFj+tiIXuGYjF4jO2 Y2Er6qK0R+E7Ip9iGoBP2oZsxeJF0jUDtB7h67qz4JP+laJ0LC6VvDceynm/IETABmbDO5r5 iXqkNxCihNdHnzr26ZOmrIJymTKFRdzUM4GutCaQVcFCaJgaXX+lPuZQgIMz8vsqpRCGe1dq 0JnumfnyjzxzfKK5BLCcUmUCyPUXV7IDjoV60aMAXBUh2oVv4L3Zgvo2m3C3SdqsidzljPpI A19nvGD2ybrxpx7xkeqGD1lfn6r4Rg27e1DIbci8hUuPNpXNcjqks8CfjXbNqPKISvufZ9eJ +SRHuYux5SXRa3dLdSJi1sAb5LHNumQkJsWHe3RgsD3k9P0DrOiheiEiCdJxvUaDSANg0Ns2 dYrPI3qOPsT5ptzD2/aqPaQWu3AqxTpMa2kk8Y+TiLhUrAojMn4gkaBrnSwrIxzrvmfGBaEq aa0cwQcONMT/6IzG4tO4WVqjNOAOzea2TXpcEEKiLMzRKzVAWBm1ccO4ms3W+rEvYhi7yXhg zTm8Gd/WwWngM2V01DGYfUzcG/XlrxPsfpsnmZtJuppA6F4dUjWXERwVlu4+l7IVANv1krF0 pWwcLi+P9+8T9vj0eH95maxO9/95fTqp3siZ+t5RiIhS4ZNaETUeJo44fdgoHv1mSWGHjXM+ jEoX1JapbwUhtvQqiuee95fnyfvr+R6iZk/CfBWOFVzJ4GOqCFm/KFVlUThF5n1II3dlNvmZ ER9H5d8If5s51dERm7amS4w8LBXXit9+vtyLgFxWPznrWBscQFF0z9EcEeh8rXKoFbMHXaRo VbnoupXvu7RSKpKFjRsspvYDccEkniiss+RIv6oeebZZpDoTA0A8rplqwZIgwbFyp4alEmIB PyptYgnmAbUDpZU8NBpQVaUFkZ1Ft/7apkfosL89PCdjdvWgZ+SkKc6CmhX08g9gHjne0Wq9 BRzbdD5zHVE9tAY3cInD0ohSGQHkEis15CPIkhPfH7uwvhluwFShWRXpx68Kgi9Phym9K5mR TVapT58xXTsn10Ackopj4iAt4pqJ5gaKQzdJzqtpaTv5ameKhUmiTxDlngN/H76dmfmLhf0D CsWdDDQywsEc59Zr+wQ1wCeDHZ3r21eLECxx+GodXS5IoUsyVhygzdwj0iTF2nVWua2rUsdZ QIeXKpiibOT64du//QjV2WSgai/pQKh+dieIDTua3UffPAyc0tsAqmMd+Y0fUINKoDeBOHhS SYXfzJ1Al8OSyJhhVTidLeZHYiVguT91CBLRAuzmNuCd0zWypp0ThqujPx2irwwpwpXnTM3V QJUHB9ODStPkj/dvl/PT+f7jrVNvxMF12nsiMJ/lCwZ8BiHk9psZhdZAJELP87mix6JQX1jM k3NJDRaWF/2ir4VZHpLvCSs2d6Y+GvPyRN2hhrOEFlqPo47gR/rSvgx3R/TUFlyBjX4l6MGc DHjXw0vHWIQ6untloeEsfK70lM7Xn9eYvbRHwh3yMt8/ANP7GCQ5ZI678K5rHVnu+eQJqchz uALBNaMvMsV8hG/1hAoyXPeYREpFiNhskbmWiJtQq9x3pvblHWDLHYuEYWq+DtumaA7O9KVN npdSNHP0DTcxBo3kXS6Vs7PhlaLaXOPTRUM/Njikm799mUFYYEKusC/dSdNktsvV09+RB/a7 YrurchHF6bSAqwXq1v8FLQHU82BOrbCYBx8fK1jse8uARAr+T0UihnY/Yr2CfbVAui6MEVV3 RYirPmrTEIdC1mHhe77v00W17CWVd65Cv6UEpyxbelOLXA7O3YVDOdgamWC9WJCyBUI2jjjd PdoQWzUzOTtdLQ3okr6qCiIomM+WVmhOfhOhw9GfWEAL8hsb58gI6rVVoo5Xzqg1pmBKF4pr lXQfAgTfrGFsSS2TIwt1L6Cg691dQvv5VZj2QTDFlzwaGPwDAUubgANp7z7gml6pAIN2aUKa VjsiimJoYHyV9x3kfA9hvUJEYq5H90Op69i+X683XW0ARY2iMZduBErfQahQacgVVmGzWjqM PPrSihGfbBd9iUYIWlCFPzhxwyrN4MYDpefzw+Npcn95O1MWeDJdFOYi+qBMTukLgo2vNVnJ lbS9kpEmCR4AgdXLyEMrJ4K5DsEN8me5sri251dHn6aP+EaK/xHrjcV/jOG69AYZsDbeU7ao +zROhEnfKFWS9rPMBa+V4NMsVI8oRljNTlIhcL1N55EcUt/J00I49Ss22A2d5IETUXaTgOca 0qWdYGp2BXogBcUV55zgg66N+F9MK/Nqt4ZTbYIawyHpxgRcTeEf6XmSlxWRgStkQaunpLx9 Lm4dbAkZeh/VNNASpk1vZ+YIw8E8VRWfXTi9xGMofDk9Xb5Pmr0wxjGepnctv6856uofuyPr NpkYFN89Xet1a7cx5zA/Mk+zT1lq8SQmeVhz4zhz2EXl9D2bZNuUi+l0oecrqdiPIkIgfB9+ Y4eTtcyFp7jISFu24peHx++PH6cnszWlH8jz1/vT878A/eWEEvx6rfGT3EXWWirVMt46MMxY aHQQdvn2IWO1nr+J4PJvp4fHC10A6e6I7yHQS3npvCi6qakLVNnRxFDVJms5T59eISzdl9PQ 7QxT5K57JMd0l/OByeeE1KxhB5c1fRUnmfKj8Y3jxnOEimot05cff399e3y4UrTo6PqBqpEj smh1HWNhuHC8mYV8LYmlF0cQAG9oWyYLyj9mnkdfGIQi6N5CGL2Jl9KbOUZ3avZyPhnpnfs0 CA8qYuyS5ZvNLeR2v8eNfHq5f3x6Oo3h6ie/fPx84f/+i3+3l/cL/PHo3v9r8u3t8vJxfnl4 /1WfvWDVqffikRfjq0A0zmE/oQc/nO8vD0LgEAb3fQIuQJ8f/yIaouEbNhRRqyMn4ObRN6Yr QXcN9pxVHlJhulZmvpd5rvFRd3HIv6kxkXJtZ6EGh+6asixu21WzbvNqsGquYzZUVK8Rb/q5 NGiWsX0fH84XKzNfkhfzqdEjgRyYBRRfleo1lY98pnfkgxuYopvDEpkRKdQ5LjN8tBP6puQQ nE1xsvOLvaq+2FZJzfD0DIGrZa+zTbolbx2zc+TNcj8dJa2fTu8/9FleluXxmXfCP2XoZXgW NsCir36RTPcXzsU7KlyH9kzGF1347nZwJZw/vt+fn+CG/AKPD89Pr+c3LJ/JwTT5+c5nAy73 /XLf3ssaP2iBnuWo0hQmhQiPsCr18lnF+PAJXNXIyQDRQTAGHY46VnQZBAsazBt3erSIPUbu 1A1smI+sODE2s2J5NJvxDZLXN39zuTy9Tz6gX/55frq8Tl7O/x0nLHXfwbVqGc64XSfGErx5 O73+gIsBYsMSbig7z/0mhJe2Sn+UBBFielPt2L+duQqxQ9pEENsSXQfGtakvhlE1+UVOoNGl 6ifOX/mPl2+P33++neCyvu9c6zfekyZff377xrtdrI+cNbor6tcNsTchqrRetVEOAQjVINar tiibdH2LSLF6y8F/CyusfcLU/aAilP+3TrOsCyuEgaisbnmZQgNI83CTrLIUbcE6rAZP0Hx/ kkG8onZ121D3QJyPq8F0zgCQOQOg5jwia77BSDdFmxS8NxZaoVZls+0QuiSrdEOn5Nk0WXI1 ragF2sTAJ0jWSV3zDZR6mcHp2yTarbQ68f4nH4epGech3E4n1C0TlJdrk+KhJZIkAoHIl924 NE2aiRZrpKMKs2v+6J9uG/sg+KRprUUu4MQqp+wYgPt2ldQumiFUatc5VVFhTV0gAcDSjDc7 rmSas0bvdLwFLY6mObiDnm8DdUwZVzP1YBE+3QZ/t8E3s1YY5sTCAsMiVsQRxCNYkPAdyUjW rONHQO0Dav51urdWN12QptbQ0ZNg6i8C/NHCmo9O8BpXRFujf8JLEFpWzfeD6jXsQDLq2JHp 7tyBRuhJ6BnNreNS91gSM7lbMrBah6mBejsSXSLmaT+NqZaF+xDHYR2IViulkSOMIhyaQuFI jX6WstYjz6B70PFR2fZav9uL4zmYfMGXR7RmBnrsvGGkKz4QG7zIFEnJJ+JUH8w3tzX9EpNj Xry29Jh9WcZlicfbvgnmLm7wpuZanjYfhPUN+l3lnlYk3o1zW4xNaCowhrCDLNrZSr2LMy2r dMV34Mdm5tu+i2mPLppaXE3iuVyJVqpQV7xNjkeKJo4QNsbk2qNXOp8IdcK2icXxDbTxrmxv nCX5SFJ0tk7tRS3H+DQ4pW5ZRLMuHPROpBttbRbFppICRHEQ2blVwojp8mEUR6ca8fEhtPLC YEisTn/kG4OeszqQuZvPYXpE+BOnc63yYDlz2oMWX8HgY+E2rENKuH6xoGQbV0Gg3rho0IKE KEs2pbzdTdnVwma5N/emZGkFtCSRKvB9W67gD6qmlm6lhYxLK+XD61a4Y657350uMmpTMTKt 4rmDzpg2IWuQ1+ZtnKNTuKzcULfWrNwVqutC+NmWTPcZhekteLzMwlT1DIikFLF0UoVJVYQT gDfYPFVDgwKRJX/suGKjJ+ZkuT/DZF4ksPBXawrknGv/NYBUlWVRADXKJ6pYZbtNWhBgXyeU 1VDeK9lta6I5oEYd0D/B0GXHt0UIRsDimsUmvJuuWj6z4wseUWy+sLZrrS57sGmE4ATaqoux zgEeLpDlTkhg4t5jtVuTHxmqq0srq8wDR8GA0Rb8kmn2KRNbhYfkKgfvJc70xrnK0wUrtOKa PxzpviT+TWzGFdtA+ODwhhTiWWUluMa5S/49n2FZtlgIgPGdeHJILVZlorol6RlTDFL+4fLB tnHLd/LGofhWvXrkP8YnmU2dFBs1+CJHkcvmnZF2XMHkaRa8mTg9iYyNvRzwhzOImIFlhFGN Q94NxJb2JwiwvoIJIh1mQUC7OlFVHFFvEYoP0+AQpr7VBUfblP+iomoKlA/OMK2xID644hSc 8WvyxXGVIV+e3Vvk82+wKYs6ZajCI1VrJSQ5ydlVOEvo5xACvENu4eXnzldprfeBNX72DjSe 0havRMC3xsc7hFlTUsueyOK2Fq+4cMYQwTfBpOaQFlt8jCKLU7CU923LNSWwZJHtpbVAE63S WVKU+1KjlZu0695YdEdv49/t2fc8/IcloM7AQo4KQOtdvsqSKoxdzqOoqRzaLGdTSUTyDlzv zvQuohRL7LG0eEKCLgIEl+tGr2tegs/RxDZWRMjbPkoISsjXMDJ8oBhMYQFv17ISx0BTyPYa VEkTgpMdPb8KHMNGFsehqdDrweaioMMWySEO4fxwu/CJQIthKKlGgCwVrZIk1qNrCKCBj8Pn V/IcTnDsCgiMistQY9VPjB+IHhMyMnynkANO4H8vb7Ewlar1HTHW0j2lUwqorFiiD5lmy4dg rtPqHWuk1w1Vvkq/NoGJoDmWQhzStIuBohCPaZFrw/Yuqcuu4oPsnmbvVxAyko8BY6phfKoB K9AdZaYjlqKsGu6HQA3AizS+tSdP4mXvjXUZqwtnq94uH5f7C/HeVIYpQuMHSEZsqtGfJqU8 COedqhIAMsot3/ujo2qMGztqEQNaGINgmghssQ1Zu41wFnqpw6Lg2k6UQBS7bn9tumjFl2/Q TJdXuB3RGqV//wzH1imOISpgqxKO2Mpm0x62KYQVY2Q8iI5nlYldHIOAzitc+11Wpe3KDNKb W1YtwA7XoiIfRDuvwrXRNKLPgCvUaHSFGpve1UT6+eI4ncIXseZzhO9/jSH5jKE87lxnuq10 JoUF/F0486PRNQTgzd0OQGLXvMW53CtSy65kRIfeRjF+eYUQ9M4ZpzEOhMTHHTNCRWRZ4DhX ClgH4XzuQ4ArM+3hs2bdHsIroqGw+DVzT2XmiAOy8EcDtzxkf+pimEZPp3fC46UM06Y1iuFW XdQqNmKYN/iFngyZwKf2/5uIJmxKrgsnk4fzK1zrwi06i1g6+frzY7LKbloRzjWePJ/+7u9F T0/vl8nX8+TlfH44P/w/F3pGkrbnp9fJt8vb5BnMVB9fvl36lFDR9Pn0/fHlu2JIgIdrHNGP MziYVtrJyv8Ye7LlxnFdf8V1nnqq7pxjWbHjPMwDLcm22toiUrbTL6pM4km7Ott1nDrT9+sv QGohKdA9D10dAxBFcQEBEIuCbalVCPCmVLnePFJXZLYZhbTua2SH5PyFes7/Hjx8g0KsWLi6 UGdb0oQY0FJalQZUnrPn+zOM38to9fx5GCX3P6Ufg+LKcq2kDMb28WC4/soVEed1niWU+Cjf uAv8AYMGmOSdzs5KCjvJgI1XH0w2/k+/U3HQ1rvLXheyKTqnbofOl4Q1u8HSQVmSRa/jAutl XeCcRhYuDUizU4nA7ARlPuxKS6AGbDAuJK17BHE1yGonRHJPyTc5vyaDkeV+lTUcLGGjKwFh lljQcIP8oxrO9qHRUKDjB2wxHJCuSMbG9xz3wBqZsjpc/CCYUF/Pr65hpIixjpggsejtrm7x Its9XW+9gDORTtGtUzX+hCl1z6nRRWkRrcjeLAXa/XQPBA25jXlekpi4YLc0gqaPYBkOxUsL CcqKYzSWc2/iU84E+oKRV3iOBuKCKh2kE1QV2be2VGMRskt4Gpdw1wdt8kWMdXTczLstfRKI urK+naTDu8DLn5jm/Pp6Mnb0SGK9aZsV+ddNza+cTe0rZxCHRpaxbUo6zGg0RTLxdf9GDZWL eDafzkncbcCqPY0BJodajaPrvAiK+Z7OzqGTsSXlr2SwqKgsGVqIk0i/xNBJ7tJFnjg6IlxH ULfzF1H5lQUbx/N74IOk0q3zqR1z7RdVJu3y43maxdnwNNZaCC4oRW0/URWv018ull3M14s8 +9Wo88obu5blrfgFB2nFsu7MM5VTx+EXpfHMvT0BO5k5XsvCSphGddWZLY8oM5TUNOJ8Orak hCRa5cJMVinBttDQHhbB3XUwG0howZ3MPOUST8LWvmjqbnh6YJ1q1xfiDUAIAkbCBtEOoMfD f9uVSyJKrO4LvGOPZJVXYZ9Kcb5jJYxNab8EtaELGi/mr5MK0zLei4rMRaEkJLzRXe7Ml97B AxaTib7JUdlP7H6seRzgH/50TN2Cy+/F0o0wTuivG3HbELNmOVeW/r7dgA/vunDZFt9/fhwf 7p+VTE+reUbu+SwvlI0giOKt+WKVMdio9yLYeitjigiQkkgXd9ptqSVp+mNLaKJl+kZwdWcO s4nQS9RRYnNISplqNSr83lreqk0IbKOA1lmV1otquURPyok2+ofT8f374QTj3xtubKbRGj0s LdHscmmjdUbQmBwsXX3PDBdxqQVusZkhzLf2V4rtTUzYIgyah01Nitsmx5Z4YIthaTid+rNB D+DgmEyuB/ukATuLZXY0jvy3ctzyTeUYtWg1GQtq+Q3y7kt9TvqaD5SvJF6gy1vOjfKOUg/q lR2Tt8o/l+7ViZZsJ1KmO3EzMUEXLpDfVmcBXaGk//ILvVpWWYBiwAWStkSf2waBfgW/sFN0 pfvcynOoim7JMb/QDm2LV7hwsSoGXEZCG0eKi086ZnZV76JFwNyDjAGyoozJ83ynWyd30hJo tL9T1kO6bUDG3tV8TNfvTul0WVHKQSozZMYW5sovKCt88PPx4QcVANs8W2UoEWNC2Kp3bNAf ddux7aZEvEzrVM/h1mK+yvvMrPbne/IDSmBfFz4a07MnItrY5Z0G+IosJISXGDCZWsfwlx38 3MPqNhGkHAv01CPkR0ne+s5R98WIXwTpzNejcHro1MjUJOEymxFli2mxMzNNtgSrqhjU6Em0 mQVMNYRJsa6GbwcwWZqiwU6n+/3gVqnDTTyiQQBTIlOHnU0GLc1VNjO7JfRrdLUkR0BPQtFB Z74NbZIboTdfZc/9sNSEBDtLdqjX6L6hEqLnOjJmPZyoNCfWtwl/SqZIkVgRMMyFYTUlkmB6 4+3tjxtmCWzBZv6WbrFN/7aAGxFOZjf2rMTc95aJrzyTrT0hzfh/Ph9ff3zxVNh2uVqMGu/W T6xhQTktjb70F9ZaXKsaJ1kcfTBOw3o8XU/E6fj0ZLAkNUrAu1dGrIwOHrobGljQV/k6pw8+ gzAV9P2QQbSOWCkWEaNsMwYhEZhg4IOicmCIjd6i2htYuXHlqB3fz/d/Ph8+Rmc1dP1kZYfz X8dnrBr3ICPeRl9whM/3p6fD+bcB/+vGEhQ8HrvyCJtfIHOP/GocCqy9q08OWl0x+a+MVCDf IuucxguWUXJEFDKsvprjTTMPSv1qWKIGV+gI1d8vqUBdZ8Gdyu9A9kFSubw4JTJN6aZXa4cG JLHR9XRCHTISGc8nN9emJ7WC+2PynqxBTkxri4JGvjdxP7T359a4xVMj2ruBjQmYN4SZBaJK EdRGFTUEpIF3NZt789oKoUOcPKuJroIC0rgs9G31MPsGT8NsDSsS6jGDmE70wo2ylRGlibAu /dyaZVmUmG+2ktciRE9wjzW5o1C/J1apbWOA6eWNG2jOhCLuBuMWTmWUn6HddOWwx/U0JDrc YbdohbbBkf652F4wLC/I+F0W1GLvVAYBbtt3BiNcl6z3wgEwKOyah0nXlHwVWhCoxgJtVFm1 7+1ZrSxuXJ9gGS+9cCUCCsyxsIqyuLw1ESFInySC6YU6EQD6R5DrwWWyXYznGVyUAQJ05L1F Wlbc9FrB2lHLmSPNJK5FytlaQ/cVErfH0xkTCwwF3KaWOn2j2iAX6IJt+mg1mDgrKnolNgR2 PcHGpejh9Pbx9td5tP75fjj9vh09fR5A/SD8t9Z3RVRuyTeAdAfrh2LB+/ms8x+peyahnTIR 5tqi9TZErkPKX41h5UkZ3L1LtY2O/tJ1wgojYWMYJQmS1cwMUZFwnuZz2rlBosuFMCOYq6+x 4FXzDuKplkAWztBON5bGGPm03MSJ7rRdqMtNAzK8B0Gg6QKZ8pjoQ4eGw5xx9PR0d1Tm9rCH CoFF3Jfs7o/6MGIFCy+9E2XLDdLIahHkKpGOhByDCQrH0RtFxYU+y+kdDo+sL2GsAxweA4Du m4KVgw9WpSlyvo4XBoNvQPVCNHNG9KalWTM9Vr2FmusSXxOkhSGFqNNF+qVvLUHOoNiqNWie Sform2IZaTDI6ovhk6WgDU6NC697tNN9an6Fek/ONrKks/6etq1bRyZdebVRr9KKEqlUs6Xp ttMkr0d/XYBkERluXGxbqXUwEnGhgXlVLjEJbVHmfr2ohDAZaPNUlcUCnyNe1EaZ1oZtv4MW caFJJ8G6zNO+cja3MTnosGgWN2ZKVlXYLKRffq+TEF0Jkg26f8EhsKm0hbzGYnGAwyidgukO WcqAgLj2BAreXl7eXkGKwEK8Mm3Bf99OP3qRq3+iD33sO9oj21yk5JTbdHNHDmaNTqbYpD65 J+FKrqOe5vHUn9JxxyaVRxXcM0mux46XBGEQXY+pO0qL6GYypaagDrhM2hBoU4dgolSn9lC2 p/anRlCYZR91zJ4WB3WSOCCtWbCj98C1gkrfSA2oDvW7rx68LFlAwVdGLGcPT3XPgx5crBkn 6bMNDU0d4IKEk9QW7Tyu137z9Sr0rE3pwd+Pr3Lr9CKc2lYSyN8+T1RVGRjpaCtQdZz6xtwv krCD9gxTFm4pYkeZoLWypcCR8guCVFT0tusoREobxaMmPBRkO0ocTeEEWOiVS4vAtB7IAtV1 ushpv6zmefedcwwLtKJSj6osZIeXt/MB06xRgjQXkfTqhcMPQ0KHT7+/fDzZ04cxiF/4z4/z 4WWUA3f8fnz/rS+ZFJrEXU0l/haQPZDLipeOyw4syiJoIamQYvKyjKjaz9EeT8N2RUZ/n7Fm VeOmPLglUMSyTlbj+2Ii7JDtBgzc2venVCb1nsAyeuoIVR1lgDDtoQ28FJgBmxGd4Ol0OqaY UoNvb9s1kS9K81LTM2MdGaPmJG+fKVgdLEzwZhkvJdIEN6YyPKCJttSfevix9syAVCbD5xii 0ZFMdBK+G2RZaMB9iyp91sPD4flwens5nK01uEiZR2bEXqSBNx3bmocOtessyFeLBuezfUyp uZt98HXjjT2z+kfKrq+mU3dFKcDPyJsGwMyNZAMAuJlOPbvWhYLaALMTMsUaWX5nH8wmZsZ4 LjYg85AHImAWbNol/Wsy12I2tibtKmxH2IP2RLDwenJDlQgDxI1eMTwIPBAOvKbATq+oyqJV sN7poqxxxjAhiVmKhe093yh+FRT+lVmsII2y+ps3n9d0sxmrzCzxWPglDMZzL7BgHCZ9asJU gRijS3ppWQM6Q6j8uB68Xc68sfl8X7qogas5eHl/BgatH8PfDy/SoadJRGjMhEgYbLp1o4pS g8lurdTK31RFEyUDHB+bZkewJRpBWoslQysL7/RctYnU4cKL9kHqISybZzxE45qeKfNcs+TO mK1SrkNj8XUrbDqeGTePWOiC5AqAuNKzqcLv6c0EL0h0UUxCfT1d42zi++a6Yvup5yiZAqj5 hKyWFxRX17rMrFaAMtyrCD4Y8MfPl5efgzSSOErK/STaGnm05fBJ93c71YaNUSo4v0DQsfwm 2dvhfz8Prw8/R/zn6/n74eP4f3jJFob8P0WSmBLh6vB6ON2f307/CY8f59Pxz089o2Hx/f7j 8HsChIfHUfL29j76Ai38Nvqre8OH9ob2qXb2n36e3j4e3t4Po49utXf8fOUZqWnkb3J9re7K XLF1GoUxki26PxPEyrduLtQeOdw/n79ru6+Fns6j8v58GKVvr8ezvTGX0dUVWQkdxZGxuspQ DX2+HB+P55/aB/etpBPfo9h8uBaeccm9DpHV0qLpGmRmaony+HqsF6XD35OuXzFM8hkvXV8O 9x+fJ5V49RO+1JiS2JqSuJ+S7v2bdD+j3h9nW1BSqtkY6/8Y0o2O6HlOcnz6fiaHCa1RLKHO cBZ+DWtulABhCexvPdUQK0J+Y1wkSciN8WVr79oqUA4Qhx9akPoTz1GAHXGkdgoIX89mBr9n M10OWBUTVsAEsfHYCPSOeQKn8YR2W//KmTfxaJUJdInxlFwZiSjNknBsf2XmdM0LASOmkRTw nsnYhIF84ft6bR8RcP/Ku7IAelGc9mQQ8FFT/bwHwNXUN7xHp958YkRcboMsuaJvLLdRCufy dbe60/un18NZCZlDVsM2IMdrO4Ntxjc3+hpqZMuUrTISaNWzYitYgXpG3DTwpxPTPNLwJ/n0 QCIdmpzTYAqaiS2GNjv34fn4Ovg2lW+3cXQY/T76ON+/PsJBq9cGxk60KY9ISV966pVVITS0 8QkCzXxJnhctAbXx8VPxBtyW/dtT4B104Vc4VDodoGV73FO5g/sDGI7ZqU+tYVEkwGYnbdMF poX+PJHnSjGZG0wMf5szuC70OBQ4RT1dQFS/rTkvEt8k4tOZybMVxFUeD5D+9R/28SWd+Gmo zXbF9Ip0N18Xk/HMZKqvGCxrrZTi9Pb38cVxMCVxiJcPsYjqLalZ7G+m/REnDi/vKDGYw9+P Q7K/Gc9IK6ZIi/HYqA0lYOE4sjFK1IT2pckEWZMljRoLuLrJTKPR4nR8fDpQofZIHIDmEuyv qE9GtODolWk093Z/eqRbi/EJOEKmgw2MD7qMIIa3GPywS4UgSKuSPKQPSmOVIAjdB5aCiv5A bFcB04BxPoSYDuA9dBBujyjpXTef2n1RlT3pnoBuZbYBADPvT1zeYqitxrnLtF5hbgi2r7Py D09jVgULNjj7xMtgO0XCLPfT64LKjUzR9IhlGhg/6iXbREa1HwQCv9sa8bAI3JW4j7pqEf3d LF6ArUE/jLaDJVKs70b8888Pad7T11VbTR4JSHPc+g5t6PVknqUyMOXXVBVf0ALEIkjrDVax RIqLbxRAAXIILS7JrE4BI6/sdEsW/GhWmBqCwwnDEe5fYZu8KBF8mA2lZIaML9ZVFqLWnQxN sOz18fR2fNSkgCws89iQMBpQvYixGcflWgb7V7fIC2NW4afSwEiDTIpJ4sqmvqQV2q1hL3kD qts/YaRvamG2L8aQYCWojGAdmotBQW6Apryi3+awCXcEtNv5slgxM13+MOYEabRtBL/qdFXW 3+6y2xan2jqeXuQtx4CTImvA6ze8RRV5YAZj9khcnHWYp4wMCY9CY33Azzp3JEPq0vfD6kjJ 1d54aBhjGQbhgiwlHGMGjTpeLDF+TU/uudzVwXLVnQv9+zV4WyiA7Ogqz1dJ1PWXeHcVLeM6 KDTzwfEZjnbJjHRxLWDBOqp3mP1LeV9qvYRzIefxHhAaO4z2eDuin2ctpF4kOfBrM41+DN1E sMpa30nbWYjO03cO/JJ3FRH6UVYgcuVLTI2VX43RZMNHele5Khf0NaXEBIJyv8AqPEt+VVuz VmH6QFoZyLdRmbA7C61Og/uH70YlCS7nwmhZgaQnO1lFoMGvYy7yVclSfQgVyk4934DzxVfM GZ6oXE2KWX8cPh/fRn/BOhksk0EKVAnY2L4fErpNHVXDJRaPZpEMHiowYC/Ns1iQJlJJA2JD Epa6sW0TlZmRfNUUtNbVKhLJggDJ92mKvPwPVrBOmsL2VUGLd1xEqTHluSzXJx+gOE5Q3oH6 Za6SDgjMhXOX79rX5ZJPjG60kGYmxwO4lE3s26EeizX9YBEa9UUUlsMRx8oBGB7aMyGoxnR2 0NsvWiyPgqp0OW4rKvTyQkUoBulMhbBT46dov1newAqafKOyKCic1IqHj5TVInbEuS/iwRz2 ClS+ImcXREBrpSgIetDgPd0dRgvYSLyR1KFDbxwFkV/dDRO1ExQZDENHRbSSfLv6B40QAkyD KVJOR/U2+KUoWUAfTQ2F6xo6iwQcNht9Y1Hyme5cDT+6cOV/HT/e5vPpze/ev7Q2E7ynCCPJ RK58Kl+9QXKta+0m5trQdgzcfEpZrSySyYXHKSuxReLql5Hw3cJ4TszEifGdmCv3B5Clzi2S mbPhG2fDNz7tzmUS/Xr0b3zXB9/oRbTNfl1fmZiY57i+6rmzu95kSitJNhVtAkEqxoOY8nDR O+DZHWgRtKKnU1AmJR0/mOMW4ZrgFj9zPUhfvekUVBF043N9eh48x/zodjuEb/J4Xpd2/ySU CjZHJIY7AHc2c6y0iCBKREyqjh0BaEhVmZvdkJgyZyJ2NHuH9SgcKn1LtGJRcvHdmIl2QzUf B5jsw2Ffa2myKqaUUmNIHN0XVbmJOaV+IkUlllroUJikxg8zfcvmcHo9PI++3z/8OL4+9ZKm PFjQSLRM2Irb9VTfT8fX8w9ZK/Hx5fDxNExGqkLF60YSaEU5KXGhogFa0zZKuuPkqrMoY3m1 5lnQ8fTokTZ3qdH94O3lHQTl37EU9wjk+Icfquzmg4KfqBgWldsizpaUBBNl6L1fgzaH1ZKw OAQTkam4Koq04gIzrAdUPPwSjl3VyB9z76bz7uGijAvgOmiKNAXZMmKhbBaQlBaZgW4TNpmQ dPEfRzPfGUUU29QdmrAdYVFhrnpr6HKSFORFlABR0E6ZCOg0CTaRGiFHdkOZ+nbHMtEMRJHL yxBdH9XhpuUGbY1bhmZzR2ql5gNztO7sIraRnlRGrKZM9I1aiB4tpAG7IE01l3+M//bMxlGh kQ5SWoD+KDz8+fn0ZOwSOf7RXmBGdj1SW7WCWKu0toVoFxNRM0M2DQOEsRykitI3BatnOZxW pVrSMnUz8Qkj8zqjP3kzDmmUJjDEw9ZbzKXm5VRWuOOd3d+m9thsUyxI3qrgNqpcDLsC4GIl 2ZT7NV1VKOtZ5ToIzIBkxdpIyI9BK8IyyXd2xxxI+bjcCzha7e4bIhnXE+O1P3unAATUeSVs M5SBjzOznGWXfnoT5FujOfh9adbWwPQHRhK59kfoqvL5rjjs+v71ybzoyoNNhTlbBSy7nM5R opCg/WeYC4nTq2d3C7wDWEyYU8u+wLAP1ONyw8BlgJF/VNEfnonEswhGsVfdOUxJOKyJp8D2 +WCiB5Yg62m19qMsdB4RarSxT5soKgyzW+t8zUR334Yj3zOg0ZePxhH9439GL5/nw98H+ONw fvj3v/+tRfirV5QCzioR7Y0IXTXV8FqcNRvuIN/tFAb4Rr4rmG7eVgTS7GgxvKKEfTG0LCIA jlcTID95uEcbWucYtpHmSRQVVJfgxVhMCI6wZIk+59x6KyxWzGlmZRMzBSDNtoUzK5EEU1Q8 19lT+NfUJBr0M9bf3bD2uAXbW9R9HEhLa2wctQoRlBGW+4tZ0q2pMqjIM03OWBkYtvUOCGdN EaFIlND2JV6wkivK5nSn7qrJEZfPAA9twb1wBAj9EdpFB4mc1hDERrf8Qp60Zo3fNoJFKUUK SsBuRriOyjIvgU18VZKRpn9EAsO0SELTLo4iSNcAbfyCoc6COzpKDw3t2noc5lXIpG8JMwqQ yXOnzVj1C+yqZMX6H9EsC2sy1dHZiOzLdr+4kfUuFmtM58LtFyl0GuQVyJMgj+dGyR4kQVs2 sJ3/b+zYdiLXYb+C9guYGUDwsA9pm5np0hu9wDAvFctyFqSzcMRF5+zfn9hN2rh2hpV2hcZ2 m0sdx3Zie+goch17iWF938M6hMzZtw2vnq/8mErGGqTI3LuLN0eRngg388eIydYWwmbzx+jd QXSAUKg0PZvP4OcMfcnpeLG+asr12mIObGgHCOwXsl9B3hWHx/umUNU80wuZ9QgLRIK4WUOi ObIvE5w2zC1qQw4NVTWgjGBin6Ox5yOVYRuHlw/uh0b58Im9wie2My1Emof3+j1weFFvDSyd z1fN+M3tGOs537C1xL5kq4ywrZisdYZUnpazXjlOzZUflwqFQby8QJQZcJ32kZFu21zVkobk LbmJjuwLHkGoz7RRo5F1OfSS5bAgdPDe4ctgpBHThuuPZ3Q4tA9v78PeOT0OWVKxJEoTSu0c TQLbaCQHdrSorTXf8Zx+j1rP2cmo1nhfA/qw1buk8wMbEQoeiGLDC5sj8tJg25KE/CIc/THy ST3io7SdndJTfNelsisMsbUxUraYM0GSCjgU5Rf5BVUkTTTWKFmsLk4wiQkYcBNJ1KWZUezL uKE3uDA9jFGrwlqATXIbPM4fxjPzTBnjbq6yNAriB8RKV5Pdt0mINQu/Q84UMOS6COw88z9t 0z2KLiJwAHvocaOTQBKVtEEV/YY6tYAv4tbSCG+BXB6unCb46DqSIlKrOrsNZ4fERCAtcOMs gGtCcCW3LhPVqvDqsPqafI8/KTvDT6hghU2vLFpnnc9ZQ9wpswdtOGobqmoIH3SUiXyzhggV 4Je+va10f7w7P54s0DnOfJSFjLM8t5SxsBd+XTEcNkZGMiK0vCJHiqG9wzSBHdg510gXpzFb UwgdvapW1A8aVyqY0gsOqnPgfHR1EA1qeOdMybMWUZ76InJsCXjPehJFPX/ICQFSlnqcm4f7 j1e468tc3rRApq3ABQqiQYDU9cUtFITTyewRs8fB3QQGN7/6ZGvGr4fCkWTG3Gk/pEhq8D4m LuWQE5fdDJih1nPVGW9VFjpBayMuq9vBwqc5Fyehxsh9oj9HoV+TFoxwbDUNWMVh7NcvX0Z1 HCZ1zMEUv/7+5/3l6B6KIb28Hj0+/P2PH1A2EJsxbkj9YQJecrhWiQjkpFF2GafV1lfL5hj+ EN0BPSAnrYklMsJEQp593HU92BMV6v1lVXFqA+TtNorBEj46HQvAXBVqIzRu4bwD9i6aSN0n aYPe95lTyFJt1ovl+VCPmyKKLpOBvHm4YnHV6U4zDP7hPJMH4Kprt0Y8cDjUBBu0OT6ArNMW B9LOLQD18f4IISP3d+8PP4708z0sCLg4+u/T++ORent7uX9CVHL3fuertq7nsaQguDZjmo3E PrJV5t/yuCqz28VKjMa2lI2+8rOLjLywVUbiX7shRBhcCTW33tjKjSM+S3HLZycWPrn271Bb WFbfCCOqTDPhUezaRnjGiPGbmurJNrvI2+M4GDZ1s0SBMxGQKz7anTQF1/kUTps8/TSGC5+5 Ol7RuBiCGK4ih/uCVKGnzYRlZi0dfLpdHCd+QsA5xr6D87koHR2vSR/PolAHOJPz+rn1mIgZ gxxSeruxyrZKZ/D30JvrPDHy5TOKs0DY5EixPA3kYBopVmLFMbfetmrBpg6AfdM0eiWhTIth 5OliGUYu+jwSJsy+M5drf9J355KFRN4T6JUEXgmdaTf14iKQrsrK9OpUTBHhc2OPnNoX6bBo Rt0DC15wmaU0l0UGZvlT6CUg3cvDXVFFF6XCm+v4hAEjYxJCQrMggmUjn+PHzs6Wr8p1lqV8 z3eIzx6EwZqxquvdn1Muw6Rwa0MeCeCkBY1wr/0DQsxQcgZE6KH+J8LnN7BVrxMd5oE1/j3E qZdbtVeynecWgcoadVA+DATB6bQbexARepAW1B6BdaULro1auBEsOvhhHQ2ZZjbciWj56cds NefZ9qYUF4mFhzjLoQN9p+h+deM7l2Y0ZHzjFSiI2H3yM4uMXLTOhvRr86mQ729b5PkJl5fZ XppRA90KSbbunn+8/DoqPn59f3h1STCk/kEic2PzSzZLUkeYp6aTMaLmM2AkbQAxkhoICAb8 lratrsGdQKxUz6boJevQIeQujNgmZEKNFNJ8jEjR1sRNB64scIykvsL5ZKUSOOIKcwEQxTE3 4Cy8T3g3HGr4KaKvFF/gFm7MwPOL0/9i4cNagni12+0C40H8mZi5PdDMNVc2SUPX60+auhbz Eze3OVSZTGN03KDz67eArLooszRNF1myyT11enzRx7qGM2S4gtjjuXrNlloMqUf+QmPuDctD vD39fB7ix/E65Ox4Yrjq7/ufavl2GXp0Lq+JNWdvUaX70M28KC1UbR3B669j2Pz317vX30ev Lx/vT8++xRalba0hcTYZ+eRLmvDS6RB2wg8QdseoTVsXcXXbr+synzkAfJJMFwFsodu+a1P/ oqVDQfwgnA8Mpx4cD4nG05IcgzlUEOxxB4waotjivNrF2+F+ynC5z6cAb/4aFBmjY7ZplaVU lsRmCRoBRkCLM0rBbS3Tk7br6VNzew4MOedLDagVSGL4Wke3IePGI5G3XyRQ9Q3buQARBRJj GqwUcAJFyJxdO1GSqAKoG9YOMztkv3bfRj6VU0VS5oGJsDRm//SjgjxoojkcQ42M7M5IolSE Tvu3Gw6NN/Kg0pv98CMKlah3ewATIYQQ0DfEqbBojPsVw7stQUoqK1ig8rMcTLB221Ej0aLg XtGBJqL4G3sbPRSdRtxv9mklIiKDWIqYbO+XjPAQu32AvgzAT7gIEBzqUbwlPzBGzDswsRi4 ZtJoYF0J1l/S898RHuUieN14cNU0ZZwaIYvSuFbEW9+ANPMj9wcQFqemdwDg4NGfOrwO2Tfp plBwn8ubpCtPlBcZjXwcxd546o18tcZISOii10C2hwz8HqCsE1reJknEVDv1FXiGvF7kVTqL fWzgglsWSs0L+RlKMV7Zdb+BCVBpIYysgsNZolWOKDhc7GdnlXjvJNFVCSz+P5PmxG3lmAEA --+QahgC5+KEYLbs62--