From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, 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 31C5EC4363D for ; Fri, 2 Oct 2020 09:59:39 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id D9C32206FA for ; Fri, 2 Oct 2020 09:59:38 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S2387707AbgJBJ7h (ORCPT ); Fri, 2 Oct 2020 05:59:37 -0400 Received: from mga18.intel.com ([134.134.136.126]:59375 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1725993AbgJBJ7h (ORCPT ); Fri, 2 Oct 2020 05:59:37 -0400 IronPort-SDR: +zIlge5ZG0ovB2IpOO1NXGohOEeTfsWNruP3QXxXGmAW5Y6AthbEkUy0Fcq2eva/5SkYbWvmD9 f9PdOzhraI6A== X-IronPort-AV: E=McAfee;i="6000,8403,9761"; a="150754986" X-IronPort-AV: E=Sophos;i="5.77,327,1596524400"; d="gz'50?scan'50,208,50";a="150754986" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga003.fm.intel.com ([10.253.24.29]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 02 Oct 2020 02:59:29 -0700 IronPort-SDR: IZciIK1BK82twTVWrOAgXFvbJN4qiMp39AzgAP2s9B14bHD+jhjtsVNlF0cy7ubdpbSnUKMcal CJux6E/etf9A== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.77,327,1596524400"; d="gz'50?scan'50,208,50";a="351541324" Received: from lkp-server02.sh.intel.com (HELO de448af6ea1b) ([10.239.97.151]) by FMSMGA003.fm.intel.com with ESMTP; 02 Oct 2020 02:59:27 -0700 Received: from kbuild by de448af6ea1b with local (Exim 4.92) (envelope-from ) id 1kOHlg-0000wL-CY; Fri, 02 Oct 2020 09:54:24 +0000 Date: Fri, 2 Oct 2020 17:54:16 +0800 From: kernel test robot To: David Awogbemila , netdev@vger.kernel.org Cc: kbuild-all@lists.01.org, Catherine Sullivan , Yangchun Fu , David Awogbemila Subject: Re: [PATCH net-next v3 4/4] gve: Add support for raw addressing in the tx path Message-ID: <202010021736.5FgEQ4t5-lkp@intel.com> References: <20200924010104.3196839-5-awogbemila@google.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="CE+1k2dSO48ffgeK" Content-Disposition: inline In-Reply-To: <20200924010104.3196839-5-awogbemila@google.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: netdev@vger.kernel.org --CE+1k2dSO48ffgeK Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi David, I love your patch! Perhaps something to improve: [auto build test WARNING on net-next/master] url: https://github.com/0day-ci/linux/commits/David-Awogbemila/GVE-Raw-Addressing/20200924-091514 base: https://git.kernel.org/pub/scm/linux/kernel/git/davem/net-next.git 68d4fd30c83b1b208e08c954cd45e6474b148c87 config: riscv-randconfig-r003-20200930 (attached as .config) compiler: riscv32-linux-gcc (GCC) 9.3.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/a1e5a942c313ca3513dcf760370e780af10f694d git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review David-Awogbemila/GVE-Raw-Addressing/20200924-091514 git checkout a1e5a942c313ca3513dcf760370e780af10f694d # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=riscv If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/net/ethernet/google/gve/gve_tx.c: In function 'gve_tx_add_skb_no_copy': >> drivers/net/ethernet/google/gve/gve_tx.c:511:25: warning: variable 'buf' set but not used [-Wunused-but-set-variable] 511 | struct gve_tx_dma_buf *buf; | ^~~ vim +/buf +511 drivers/net/ethernet/google/gve/gve_tx.c 501 502 static int gve_tx_add_skb_no_copy(struct gve_priv *priv, struct gve_tx_ring *tx, 503 struct sk_buff *skb) 504 { 505 const struct skb_shared_info *shinfo = skb_shinfo(skb); 506 int hlen, payload_nfrags, l4_hdr_offset, seg_idx_bias; 507 union gve_tx_desc *pkt_desc, *seg_desc; 508 struct gve_tx_buffer_state *info; 509 bool is_gso = skb_is_gso(skb); 510 u32 idx = tx->req & tx->mask; > 511 struct gve_tx_dma_buf *buf; 512 int last_mapped = 0; 513 u64 addr; 514 u32 len; 515 int i; 516 517 info = &tx->info[idx]; 518 pkt_desc = &tx->desc[idx]; 519 520 l4_hdr_offset = skb_checksum_start_offset(skb); 521 /* If the skb is gso, then we want only up to the tcp header in the first segment 522 * to efficiently replicate on each segment otherwise we want the linear portion 523 * of the skb (which will contain the checksum because skb->csum_start and 524 * skb->csum_offset are given relative to skb->head) in the first segment. 525 */ 526 hlen = is_gso ? l4_hdr_offset + tcp_hdrlen(skb) : 527 skb_headlen(skb); 528 len = skb_headlen(skb); 529 530 info->skb = skb; 531 532 addr = dma_map_single(tx->dev, skb->data, len, DMA_TO_DEVICE); 533 if (unlikely(dma_mapping_error(tx->dev, addr))) { 534 priv->dma_mapping_error++; 535 goto drop; 536 } 537 buf = &info->buf; 538 dma_unmap_len_set(buf, len, len); 539 dma_unmap_addr_set(buf, dma, addr); 540 541 payload_nfrags = shinfo->nr_frags; 542 if (hlen < len) { 543 /* For gso the rest of the linear portion of the skb needs to 544 * be in its own descriptor. 545 */ 546 payload_nfrags++; 547 gve_tx_fill_pkt_desc(pkt_desc, skb, is_gso, l4_hdr_offset, 548 1 + payload_nfrags, hlen, addr); 549 550 len -= hlen; 551 addr += hlen; 552 seg_desc = &tx->desc[(tx->req + 1) & tx->mask]; 553 seg_idx_bias = 2; 554 gve_tx_fill_seg_desc(seg_desc, skb, is_gso, len, addr); 555 } else { 556 seg_idx_bias = 1; 557 gve_tx_fill_pkt_desc(pkt_desc, skb, is_gso, l4_hdr_offset, 558 1 + payload_nfrags, hlen, addr); 559 } 560 idx = (tx->req + seg_idx_bias) & tx->mask; 561 562 for (i = 0; i < payload_nfrags - (seg_idx_bias - 1); i++) { 563 const skb_frag_t *frag = &shinfo->frags[i]; 564 565 seg_desc = &tx->desc[idx]; 566 len = skb_frag_size(frag); 567 addr = skb_frag_dma_map(tx->dev, frag, 0, len, DMA_TO_DEVICE); 568 if (unlikely(dma_mapping_error(tx->dev, addr))) { 569 priv->dma_mapping_error++; 570 goto unmap_drop; 571 } 572 buf = &tx->info[idx].buf; 573 tx->info[idx].skb = NULL; 574 dma_unmap_len_set(buf, len, len); 575 dma_unmap_addr_set(buf, dma, addr); 576 577 gve_tx_fill_seg_desc(seg_desc, skb, is_gso, len, addr); 578 idx = (idx + 1) & tx->mask; 579 } 580 581 return 1 + payload_nfrags; 582 583 unmap_drop: 584 i--; 585 for (last_mapped = i + seg_idx_bias; last_mapped >= 0; last_mapped--) { 586 idx = (tx->req + last_mapped) & tx->mask; 587 gve_tx_unmap_buf(tx->dev, &tx->info[idx]); 588 } 589 drop: 590 tx->dropped_pkt++; 591 return 0; 592 } 593 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --CE+1k2dSO48ffgeK Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAnydl8AAy5jb25maWcAjDxbc9u20u/9FZr0pX1I60vixPONHyAQlBCRBAyQkuwXjmIr OZo6VkaW2+bff7vgDSCXSs/MaczdxeK22BsW+vWXXyfs9bj/tjnuHjZPTz8mX7fP28PmuH2c fNk9bf9vEqlJpvKJiGT+BxAnu+fXf/887F4e/p68/+P6j7O3h4eryWJ7eN4+Tfj++cvu6ys0 3+2ff/n1F66yWM5KzsulMFaqrMzFOr9545pfXrx9QmZvvz48TH6bcf775PqPyz/O3njNpC0B cfOjAc06VjfXZ5dnZw0iiVr4xeW7M/e/lk/CslmLPvPYz5ktmU3LmcpV14mHkFkiM9GhpLkt V8osOkg+N4JFQBgr+E+ZM4tImPuvk5lbyafJy/b4+r1bDZnJvBTZsmQGxi1Tmd9cXgB507tK tUwErJTNJ7uXyfP+iBzaiSrOkmYub95Q4JIV/nSmhYTVsSzJPfpIxKxIcjcYAjxXNs9YKm7e /Pa8f97+3hLYFdMda3tnl1LzAQD/5XnSwbWycl2mt4UoBA0dNFmxnM/LXgtulLVlKlJl7kqW 54zPO2RhRSKn3TcrQGa7zzlbClhzYOoQ2B9Lkh55B3VbCPs9eXn9/PLj5bj91m3hTGTCSO7E wc7VyhNQD5PKmWE57hOJltknwcfRfC51KHiRSpnMQpiVKUVUzqUwONe7IfPUSqQcRQz6mbMs AoGsOQdNrWbGCpqdYyWmxSy2gPx1sn1+nOy/9JaUXDeQQFn3arz9wa3jIOgLqwrDRSW7g24d hViKLLfNLua7b9vDC7WRueSLUmUCNtGXlPtSAy8VSe5GXoMzhRgJoyLOpUN6LORsXhphoYcU TqW/AIPRtMfBCJHqHFg5ldP228CXKimynJk7v/s+FTG0pj1X0LxZE66LP/PNy1+TIwxnsoGh vRw3x5fJ5uFh//p83D1/7a0SNCgZdzxkNvPHN7UR9KG4gKMJFDk5PFSMNme5pQZopacUQAob NRRJy6aJiPzl+w8D95QpDFpalbhj6Pfs1sDwYmIJoYD1KgHnzxE+S7EGqaAW2FbEfvMeCCfv eNRSSqAGoCISFDw3jPcQyBjWNknQeKS+QkFMJgSofzHj00Ta3F/KcP6tFllUf3h6ZdFKkgpO hFzMwfiBfJOGCk1PDPpRxvnNxZkPx21J2drDn1900iqzfAH2KhY9HueX/bNu+Rzm5k58I9f2 4X/bx9en7WHyZbs5vh62Lw5cz5jAtqZlZlShrT89sDN8RkrzNFnUDUh0haqGd4pAy8iewpso ZafwMYjavTCnSObFTOTJlCbRYDLzkyOIxFJycYoCmIwe+pYJWAGSAH0MsCGgOuj2c8EXWoFA oC7NlaFHUokBej3jWwKGPbYwElCGnOXhtjSHRSTMs5e4xzB9Z2ZM5J0G/GYpcKvskOc+maic 3ftmGwBTAFwEkOQ+ZYFuicr1PTloR6yooSLiXY/Jvc1paZsqhdof/yZ4gburNJgpeS/KWBk0 ffBPyjIeWKE+mYU/KF3Yc+Oqb9CdXOjcRQCov7xV1nH3UWnY7tt5AiCjxh+IBYFOQRWWta9G DwK3p+/hxZVP0XdAWxMdaCDfgfZ0oUhiWErjz4CBBxQXQUcFxDm9TzjsPV+0AvNUr/nc70Er n5eVs4wlsSeAbrxx5K+J83diSqjtHLSYT8okJVBSlYXp2XUWLaUVzTLSJxSYT5kxMlRCNXKB ze5Sb2kbSBnsSwt1S4nHMJfLQPhASqjtDvBwshPF6BOAMuRcipjGwyxEFJFawW0VnomydSob OeHnZ+8au1NHwHp7+LI/fNs8P2wn4u/tMzgmDEwPR9cEvL7K9aqbdzzDMdW26j9ybEazTCtm lZsXCLRNimmlhL1ICsJMlpdTF8t2ZythU0qIgEFIpmiLgu1BJsxMND4cyQ2I0HShP1IaOJMq 9QfrY+fMRGDsPem38yKOIRzRDDoBeYDAFwxDb7LoYEBokkvmB6FGxTJphLxe5TBIb0gvL6Z+ bGGk5cteJJKmDAx0BgoeokaI9bKbj6fwbH1z/iHgV9qppxHS1HPolsy1wrxAM/YG8q6DwPxV HIMFvzn7l5+FOQ83hBgOEhzQUmToRffGX4Vu42iRQHTahNqpikTSo1gxEDbnibGkcTP6TAqt lcltJXxuyG7HAvPQUdVMYl90IcRfVC5vTeY72giGiBHmObNDfOMlBnLfhokskVMIz1FQA7Pf EtgiHULnKwGRnddJDAZEMJPcwXdZqdpmg2Y5rmuZwLFM7E27leitgh/ijbdyXPcchPBp+xDm zqwCN1fGlT70YEtpAl8+bO446qfNEVXH5Pjj+7bj6HbGLC8vZKDsK+jVO0l7Yk4CYIJRolaU E9HiWeYtJkALWAJbJTq8fYXzoOd3FsXvYuaJjU097ykzzkXtDhZE6TopnOPqiUGRCS+u6jwi d8gggiw5MeBYF/7yhWvla/QgjGjGcV+en51RxuK+vHh/5o8CIJchaY8LzeYG2LRr4tzbucEw PNDCgqMWp9zDRr+Uy7Nzf5r9OblJTffQev8dBefFS9qmkct9gnfbNg8oKxnb/wPBFFinzdft NzBOQz7aPxJpa4Y6M5iio4HeZnQiUIiAzGUEI0X5sIDlSbA4q1vw7lbClCKOJZdoGAmL1O3/ 2DyCTO7m8PC/3RHOGCze28ftd2hMzvlTkeoS7JivMzH5AQpkIVDjgReJ+V0qOem02lypRQ8J oSD68LmcFaqwQ80EJ8flpuqMdE8TY0IbLEWtz0eQkTRO5/sp3mpgNsWjXOeXbQ/rHBkjZiQc Pa9Ki5dRkQ4YY/fUalFY3zMckNWHAfRxkvtZQ0fh+gfzn8P0VBhMBJgx9w/XXaxztzeLyoHw 0bA0jU0VHHQ17ytAi8vgQgecArH6DuUcIYiqqOkF3sQpT6TnhTgj3aTTcqUjtcqqBmD0VOFJ IE8U6NEpTHAFPpfXR+0pOpfIxR697pWL68AHWAiT4S6t1j+naMZESWIO4pyH3Lz96iFJbYEm 1veGAwe7OtFcLd9+3rxsHyd/VTrx+2H/ZfdU5T1bRkhWd0bIRjtkR1a5l6IObToH80RPwT7j 3RZaN+kfsBDojasBl/yOuy1KxFrmdGrYo4YDhKsC/zdK/5QaRRJWvOind3q+80/UYmuVQLVg yCu8+bmIz6a4Zme9MxNk4io/IlaY9x+N8mqqIjtF0SixUxys4e1d2kjE2VBK2l7VaNwYI+zJ ztAjXkEAYS1oli4jVsrUecV0PJuBQonAe06naiQyh4OSNnQLjK4JAZ7WmdP2cwHOhpWgpW6L wDw1ubCpnZHA4N6tS5zlYmZAKE+gyvw8cJcagntQRiPJLEy9Vr5J6UIYOv2JZKspFX5WXWA8 4gcabu6wVEr7ISNCqztgODLc3Onwvo5ElzHsKOrRxrPXm8Nxh0dhkoNz6btGGKG6Jo0HFHjk XJmso6H0D8QeLd5vqmx8umEqZyxo2iByZiSFSBmnu0ptpCzdWaeOo/QnFHYmf0IBtsL406Xy CkVGDX3BTMrowYv4Z93ihfbVx58QeeJIUTUuZk8MfCFKwVvlMhQsgGGQJ1UIdv50dTmtuvsM T6qgnVRVzBCBIxgWMHjIxd00TKw2iGl8S04g7K8T4gikxhMhm513X0VWnw+rwZ6gZvYVTpgk YDm4P7w0qXef7gxG1RiOCTgvvm9nVhbixxGk8wFGcK3hTlOpVp7qar/dAot/tw+vx83np62r hZm4PNzRW+qpzOI0R+8tSBCH+WH8cr5v64eht1dfnHl7W/Gy3EhNuUU1HnM6g0Y1sFN+HbhU yYgerWjukYjSkvVw5syASJC9gsni4TRrD7+VmLEFdKubbr/tDz8m6YnY8WQSqslupSwrWBI4 iW1qq8JR4X/VOORWZtBDWbXzq1xadlUMR2GW8B/0qvu5tHro7R203zYBf1rnTk5dmuNdt5Tg cfO+snIJPyPwrICjQMyJqDepAsaySbq1vBY2JRg08ulmkko0S5G5eXd2feXpukSApWKgKEip ig30iEVCZI7IUxPwMcwFtMCY8lYQC9LI7M2Hrsm9Vora4PtpEVjTe+dkKk6O2sXNbn2bCI8S GQOuWbkchJAQ5mK6eVDc0DnUhS6n4B/MU2YWp8IInYsqhGRBBDF+UNpEmWjTiNn2+M/+8BdE F0QqBuYmvHNcfUPYzzyvDjT2OvwCnRTcIDkYNqL9zhF/dB2b1GUD6ItggUHdHbE6sppct1e6 uhbkzNKXzkDQJpQMhLjk1RQQ6cyvr3LfZTTnutcZgvEClb5WrgkMMzQe5yW1PIWcoXkQabEm hllRYIozE6GKu4PIT6mFHLk5rxouczqbi9hYFadwXbd0B7gtJZuP4yCKGUdKPZK5dNh2uj4w lNKKjusGHLIvIj0uoI7CsNVPKBAL+wLhr6LjZOwd/py10kZMp6XhxdQ3HG1GpsbfvHl4/bx7 eBNyT6P3lryyh529CsV0eVXLOl6DxiOiCkTVFb7FTGQ0EiPj7K9Obe3Vyb29IjY3HEMq9dU4 tiezPsrKfDBrgJVXhlp7h84icFKcXc/vtBi0riTtxFBR02hMqqJZHzkJjtCt/jjeitlVmax+ 1p8jAzsxYqbcNuvkNKNUg+yMY8pFgQXImH6mjCzsIBY4Yz4VzZV3GSPQW9FYTW2tjO/8tWwa 6fmdyxCCLUx1z4r6xFWSduwmfxwJOiniI5OTWG81oqXNSJkV7C11NwSuYRCI53i7ICl1haiE heWaCEu1ogu3EDk1F1cf39GR8kVOdWNzz1TNwNZ4vriR0Uz0v0s5g3jDZkrpIF1dY5cw5jpT TqFT08/TO4VoWW/PEUSM1nH/eHZx7hUFd7BytjSBjfVQ6dJQ048Ez3y/pfquFZ4X8SWBjwuf F+SWsfCmCNNNTMMhRwTRYH3x3uuDaS9c1HPV806uErXSjE4TSCEEzvP9O/rcVRd9jSN3+7p9 3YIb92cdcwcVuTV1yae34QlF4DyfEsDYD9YaaCXpPaA2LucQ7DTCnTK8HTvTjsSQVrDB2nhK 8bVhvqGHzcVtQrXKp/GJVnxqhxMDxTME5mxsvrPTs4nsUEEiHP4VxKpGxgyB6W3deX9JFlMa wedqIajB3vaTNv2GGDyfmE18W5FQvDlbkCXvbVOq0XxOuyGtlMlTPPECgtpAS3VFXOxWlzhP m5eX3ZfdQ+89ErbjSU9AAIC3EZIPwTmXWSTW/a4R5XQQrcsbkpiql2iQxaVXG1oD3MVpEBbX 8H78OByNXVL600dfDacXJ+4Fy4DbiQLndsH0+CY3rE9EfEiS4q0+XcbpwgiHDwddwaq7W69G ykPxoIykg2fTu1yQmGAjPHgq8oHZq1F4JTw6tWYgLJO0m93Mn3Eq/daeLRkHuiniVH1elFks kFb4Asy/W8tT5u4WgtxgC23+XFLpP4/Kv7H24FGQEuzgGSfBKQbsNCPvkdAI9vQIXblvcP+h Rba0Kwk7QK790uIboTH/N5HZohduprqvLhBSzqwKaZw+CFwqB5V6GMEjk8zS45vb8TNTTQuc llGK5BIOlcVYcIzq1uTjHWTcUhGY0d4KmNg99fGD9HX4dqIu/XdRgwlLjimaKqoYM7cGn4rY uzKsjJ6GjgHWAH+SY4cJNVH92jLMlE2O25dj79rfjXqRzwR9kzNo2UP4ybfOjU4Ni5xJry8F H/7aHidm87jbY0XAcf+wfwqKzBg4nlQWlPn5XYaX9KsQMOVpCJgF6h0hn86vL6+H9hIc12j7 9+5hO4kOu7979crYbskZdfPmUOtqZAG9TcYbgHCGw+Qs4VjDghmKsBIdsXEi1uPMZobo/RPL 7ksJf12OtFosGZYnaS5FWE/vhlOOd8f5hw9ngwYIxILDU43As2E5vq8I5y5jif/6Zf4ITofb 7UAjXCpcDv95t36/DnFasEU3U3+PPjEsQ+zPRqQWyemD2+JTLsemG388v6qrD8klH2nWjLPf sB0/nRvxSPpjCmmS9clp1atxYhsbCnoLrIpDA+ABS94+SUXRshqGgUX8XzYPflkAtpjLy/Pz dX8NUq4v3p/TNU8tfr3uP3JoXk4O+wybV1UR1ZMv+k0CoSE8BUx7QywG/W00vW2AXHDqLiqW 09LUZUA1aCWNAEBoZuIZhtTnQ13WIJ6328eXyXE/+byFWeBd5CPeQ05Sxh2Bd3FeQ9CxxPuY uXujiO+cutqklcRK/h/BZ71urs67K78z8UL61qr6BqrIDoAy00WQRqjhM00+1kHzdN1zcK91 Vy0Q2LHrU+/vOJO0A8+FnoO5pJzNLPZDpJiDqzSTuV81g8AsPME1qHTyRzkeNb5gZsSnBoJ5 eG5rK745TOLd9gmfxHz79vpcR3uT36DF75NHJ6ze4UI+uYk/XH84Y/0BWklJImLiSIfTA0Ap L3oLobP3l5cEqKYM+8rdfAEzOt2a5OSSrTXSjLO4jFcme/+Tbq7f92P11p/5T4vb8dOWYSXi +JVUTAX9TTrbS7PVkPB5YAQr4q6evWSoUSCrie+dx0wmKgiERD7PlUoa376X2xS149io5oEH 5BMHVTr9j/onEiwJpJ4ooDnD+3xwbollQSyzOu23QBhdzN4nchXwFsZ9gntdJm8LXZGSvXlv QkdYldpPJeK8UysHAPL3JRB3W0izsL2+R2M/xJnqKVFdcdH7zRMksHn4aA1h+IwQwCMsWd7b OsFZb1JSLQc8DX3+HI7ZkfC/ecqiCZ2GsIf98/Gwf8Kn6o9DXxx5xzn8l36Ggmj8CZfB7wG0 iMHvELg9XOPzuHV3EF52X59Xm8PWjYjv4Q/7+v37/nD0agqwXbTqMYpWrpu+LCEc3SaHHBl3 Kmxd91IroVPDqAqJ9p9hgXZPiN72h9lVUYxTVSu7edziG0uH7lYff6iDmjJnkcj8h8w+tJk8 hdJBKdUARa1b+enDxbkYLFrnlf106G0NIi1ZrdSJ58fve/AP+7Imssg9wye7Dxq2rF7+2R0f /kfLsX9KV3VGIxfc3/XTLDoOnPlv8yvnv//tKsZLLv1HDdBsWrTuuOZvHzaHx8nnw+7xq+8u 3InML250n6W68DeogsFhUnQyp8KPVGLUSGXnckoFHDq6+nBx7XcnP16cXVMXW9Va4K/H9MvU DNMy8m8TakDpLsfxwhZfglye9dG1ajXrMoegCWs0CRbhs+KuaZH20+kNDguhgli9QbiC95L3 slbVT7Vsvu8esQC1EomBKDUscivff1gTfWpbrgk40l99pAaDLUBLUivdkJi1I7n05XZkoN0z st1D7VpMVFuf1XZeVI9W5iLRZNkSLE2e6jDZ2cDKFJ+6kFIGApFFDB/4UHJjqk5jadIVM6L6 wbDmZMS7w7d/UPc+7UHLHLoVj1fuWPl+VgtytXQR/nSL54Stc8PaTrwfzehaubdi1dwpph7a r7Ef0DWPLvxt6U+jDeCq91FLv3y1CU3duwwa14N6e+EiaCOXI9tXB9hG2GEzLMmo24J3kyra bUvLW2W9Ig6fj+PA7F3GGz7aqCntjlccGrLR35szYhYUw1bfYexTw6z/Cxc1bHU+AGGN9ZCf /wti+NSxLjwGEYrDKnVExs5cupeSxJCbF5HVc0qlVaJmd74wjJzD6jHs64sXNHalM2qdC/LH DCQGPLgtU/9VZjqXNeD/OXu2JbdxXH+ln07tVm1qLMnXhzzQEm0zLUqKSNvqvKh6J701XZvN pLoztXP+/oAXSSQF2lNnqjKJAfAiXkAABMApeNap2VG0a9BzIrGHx0q4VUrPRAk/5048QbzJ j+e3dz82QKpIxY2OVPCr9oIYAlR9GKFe8zBBOrWMRuKiwawruodn+CcIZCqSwGSzkG/P39+/ Gd2yfP7fWZ/35SPsmqBbQfTSQXomCOnftsDvvsVuYlnlFWwPRR+UFeJQ4Oqz4IoW97VS41Y3 mF6nUI3OZuR/j59bUVMNASWwE8yVzsCWW8J/aWv+y+Hb8ztISL+9/pifiXpWD8yv8hMtaK65 gg+HTdMPYO8joAZ9yWaCOGPfo/bwnlSP/ZUV8tQnfuUBNr2JXQbrEtpnCQJLEVglaakyjM4w hBdCFnM4nIxkDj1LVvrQlvDZ6q8xa5HeYXtBKz/TWny6jArz/OOHujWyQG2g1FTPvwK7COfU RHuqcVPeXcGu0GkVSBP21oJtNG9sVVqi+oDWqXOogmhZzhbJQHCknFWYZd8jakB20qEFfiM5 CwFWmPebMiI9ATn3CSSeSGilLMxi6C8tSMQYc9V1gcI1zOygJt6ZCZOr4+Xbvz4oteT59fvL 1weoynJ2TFfXDfF8tUoivVDxU4eSiJP/+SO4v7ZMqsiD1rhdojS1DHgHz09Nmj2mq3XAZYRM V8HqFmXrGjrMZM1A8CeEwW84YSUpjZlch4r4WNrqCF+FTdKtPyqagafcz1pmTA+v7//+UH// kKuRj19J6iGo82OGHj73Z8lYkEE29jeYggRJvjQ7r6jCoEA7O2aqcIqZycVFzqZvQKSdYsvH 2WRoJM1zpUCfCOe+0wFOAOdVHrK1az//JrfoXjvfWB3sv7/AMf4Mmvg3PWoP/zLsbLI4IONY wHeULNzFDipyFxhSFRLpZE4OFAHzLhxnMwONK3mOYOcib95Ha5u51UECS1wrtIaVv77/Gq5R Tab+F9wwzIlmZoTZaDDxWFc2OTAypCPanOa3ghNuFSq0ArW43cJ+L/V6j9QN+sCwuKYbBbXZ 9PCUDTTy8D/m7/QB2PrDf0ygEyrIaDJ/8j7rpNuT0GKbuF/xrJN1ULMF6qwdS+0LD9LaTPw9 72Pr9vQEOqqnDxTSWZC1590H0rVSxSL6F2BVaKJKKutWYHJO4ajHev/JAxRPFeHM68A4xS7M U8Lgt+d0Db+5Z0SqVTYTUMkvSjh1PV4NQjmjeTB1J2MybU2mRdIqkw/m3WXyAEwVDIkBqnNZ qh9zjDKlCqGOKdZkqWvsGSjOXjcHaAliOg7VMZAma/I2xOto/9qWna7ALbZo99iOGz9iX8xb FN12DvT4vgO03UrWGG46iyc1swDxU/k05cUF6xlRZk1lCaDy5H6QuVNWtaN8a2z15ue2ohsv FaoLp/NbBAUN02oOY3XhvsOzIjVxOURirFITnK7evYeGHcge2KsIofms9iB+xkOR9uh7/Dtg dd0j5Kk93y4drDgXg3VmwKhS+MWqQzYL/Rn4rjvs4zk1vx4HxUUAq+tLJrLyskj9jBTFKl11 fdHUuJmxOHP+pLgIfh92IpVEdSbJDnyY/cmWpYCbrsOkZpjFXZaK5cLRC+GULmtxblW2uVZ7 sEy4U9Oz0vOMIE0hdttFSkpMo2WiTHeLhXOXbyDpYoIMIyUBs1ohiP0pCZzEBoxufLfAAj5P PF9nK+9+oRDJeouZoRXvh+8ESa3JbHpfpxdteHU53OHMrIbm1q8XxYFi0VAqzL9vpfC8kZpL QyoWccVKQ6ZusinQRqnM787V3DB1GgM8KMUiYybsyu2BBZf0SHI8QNNScNKttxvMldIS7LK8 WyNV77KuW+KRipaCFbLf7k4NFdhcWiJKk8Vi6UoowUgM9Pl+kywCLmhgYe7WCdgDxznzZsiu aJ47ePnz+f2BfX//+fbHf3TC2Pffnt9AA/qprGyqyYdvoBE9fAUO8PpD/dOdDKmMIigP+X/U i7EVayee7QqNCxxVht2qItWIMtY009Mc33+CGgJiDYh6by/f9Is1yNq6wDG+D60EQ0KTG1WM k5ifXJ1B7QVS5nUbmCuGPeKDT2RPKtIT5lkYXMZrzAnK49qqprPbZp2QideOwNASVqjHT7wU v7nrbaHLFG66BQ2Z/F+mwVdwlda/P8wNybpftkM6MebD32Bu//2Ph5/PP17+8ZAXH2AZ/90d 7VGWwcSB/NQapJ+rZCiCGWnGIu7qH2BuWIj+jvEICOC5vhL1cjdreFkfj4GnsYYL5Qypr1Hw IZHDen8PpknpDcjEwOGNgpn+P4YR6v2hCLxke/hr3mlAadcOEYm9NlRtYyrGLSbB1wWjdTUu ju5ltMbg8pLB6QuCWYCGmZbuuM8MWbzDimg5J3JJ9lWXGgpHeqRpCLHrLLv2Hfynd1EwuqdG hFsGqHedq0sMUDMFLpD4rggGRnKkHcLyjVepBag7GKF8rawPrhPbNFAojUualMU9Fx9XKuXz JNRYInMymNt7jJt6ZCqV/kekkpbqq2Epn0xC/PgUqRIwSDcJdssOOyINc7tg61lDox5gDol6 FqV0NVWLO/OQI2pbCKzFENzmXLQhL4GqU+/ikYOkoVlvRa9BZEhIYYQS53gYEPNVA2d3hkJT 9W3aAfloTKdIKQ8fDJ+p4QYn4KSVzeforjofxCkPV64B+ofcgOiLaw6sAEfqUoidbSycqxi2 gSLea7edv0S8F7jn89SwVuRjo3BSolUTzs5Tu5+DnDkEFu1rchpQx14vUbMRE6btUd5lyS5B 33fQ50voUulCkQk5Fr6Wb04j9LLSoCrm5aEbgCoQYn4QSRrd6uKJr7J8C+wlDWqbMOqC31qn lM1aZf36mMRohzwq5CgcY0hApXaJplgvw75ONDwSpKbpPoOowPIethnmbmlJSO96xo/A4RwK pjTPdqs/Y5UR1a3dZhlUV4kmCwfuWmySXTev/xbjbDh2LDV8u/ADdszxelAfFh8bYyK6cYKf aClY3YcbAJMtkDu/4b7vRJJVih8ylsSu91skFas+kT4qcVgqM9u3KMy6WaHOt2b4Q9m0OPVt QcL1AdBT04vrHEx5Pp/TE+ge5yC2yRXdAh3COdQlHhHFcedka0zKYw8uHc4Ce09NJbh4SLLd 8uFvh9e3lyv8+ftcoTmwlqpQnumbB0hfn/yokREh9k2K92SgqFDvnAldC88F6GZXR8sclTYY ytX0HGZa2UHy9Jm6KmKpb7SBDMWoTh7PBE1kRD+fScm+0CB/xCHIVCAp4XOI5p/9vq1J4Qdg +wRtfa6Ktt67h0hAEbzT4mNVusILVR555yZGo9zz9qQknts0J7lKAOMJWgCSJJpAqoykV7l0 MYy6eb3gK3lPWnou8LaOaC4e6J2gvpmWSviXqCNxL63y34k8injGOwzw/qIXl37vFJXiL8ZS P/wydvogG01Vcjz/b+sn1DG/4Xjz2f8AXqCuCxbrhR9bWO46Mg2wmu8Wf/4Zg7vixVAz4z3D 6NOFZ4kNEGHwaIjOcaFYZWYy3pBzQ0jx+v7z7fWffygDkXXsJU7Oc8/rY4ha+ItFxk0uTyrN vHvJXcyD+S4UNmHbZ3mNi70ODSlIIyPBsi7ZkbaxRCwDSQlaLIO63DOtZHntXh969JJ6SaVz Wrm3j+Z3X3P9nsCxrnp/voyxT4p4GNnQECdfIimZPapYWoGBAPhrJdkszceAbjGTpEugpq52 X2WQZer9Svxf1P/pDk05yzIzNHJu6xaLEHBoDJd3mfR+ufR+mDCns6xNZt0ZTucqvoF3ADlX bNUlqTo3l4035XqaM/fTDMTc02FXh1CZNxQa0Atgpli6ElDqJeX2OSW3TDxByzRmysXj9sBO wT7uIYUGx7qFLuzMI9NpheI7NYDq4LEAGtMS3UI6PzC2UgpvupwiBQ1FiXPJAr/2NFksMbVu IHV/9vzq7WgL5Oj3GmRFGqSIgsISAaELlsvsDd9RdKqUzNVvl86ZUPBdsnCWI1S3SteOyc0K 8h1rzYbBhlI5RGMZ4RwSys+l+9TjnqbBGWwg84UeEsBf2D4YkFnYRq8FqXYGFo9PJ3J9RCea fgkdhwykrxplS6rgMODmeZCIwOLUdTh/YlKgV90T0bGuj2467OOFoh07ncmVMhTFtiqlAY5S Hp7e1+DhkDTMb6EBkWydR/xlQ4BfInlVu1gRQEQaUZhYdctYzwARKxN5ovfAkwXuuMGO2KH2 ic9yy9mh5qQF9Rx3dXfJgIZUNa6mu3Qsb6Pp6ByaerZeqzzdflqjs1zlXboEnMMGoDObZRY7 U3ULgnLMBuqSPbW+/yL8ThZH7Mw4UFJW+GKtiFRNeV0xIKx1sc22rozrVkRV2k4vlXzqSs+X zs0Hqn4N8UX6vcTheSK04rauan7nMKzcfcp6VX/AOtBub7OdtwcHu06Ha+4VTR99icMWaPJY C9WFFW7wp34tqAgcmhz6+hEbeqCvc7R+my6dVkdWed4lIIfCOp0AT1SFjh1YFWm4oZVQ2vS9 XXLDDuVSndWFNEdTV0xUbeEGbK0Xy0WkcyquXtI7x14L0xxc2rhYlV0tnmDMUgnCxRnNtO8S UfoZnQz1oEJ7gD8exxIHjK0JlbBDDVIV0FpozyMPZ7vtsZh1wSOKpJQbCbjIkU0geL5L8h1u 4qINy5PIE5Kqvl2SoPZ2hVqmsWkWda7sEvcFZCE1m7xLFjFluCRPVd2ApH6PTtLTGU0C7tL4 0iJT4bpXnX9aoOeKLEmFrqOLyzHgR9+evAdzRtAQtzjZmwADZyKMY+TZNaeVK/vyF0Qq44h1 +8PnAqsjyaYNPriHosAN3nC6NthIw0B6T3qJK0CcY5UW6n2x41GFjrqIA+toYUHGy5CxB/g5 D4+xBUA5t+ST/l+oO6sTPqaDrh4SDOhuu93s1nu/V4NeHEBzvlomy8UMqq+/Q+B2ud0mc+gG ITXpA4MRBN2aFMSntaqaDyxAbZz1leVNeRY+rOxkOHQm5Km7kqfoAJbqblsmiyTJI2NoRT2/ sQEIck+A0JJc2JFRdou1MeJlgpZVclGkbEXsa5JeP1QmJPmJAC8MJoTI7SILYJ+H6p0j0Rx7 IVAfcwEQTrfh05wdAuw2gEhQMzpXN6YtgaXBchF+ctEocS+NfLDCynybBMtPF1puEeB6gwF3 PvDCJBWC+kDrCnqEbZu2R++uw070o9judivXtYybNBDaYcUH+hHRlqylIXDP5J544Usamqvn Cxkn3oGpUZG0aBp3Yurmm3L3qk0jYH5ydXvDAzhrPi8XyW7WCMC3i7XnkGo4GiAf+B/ffr7+ +Pbypx+nYj+65+duPhQKOoQg+U0NyOG1iS4iPPnEcBy19DjrX5OLG8GIgO27JjSBjzlXZkWd kk3ErSx4GUG3dvr9/eeH99evLw9nsR9dCBXVy8tXm4BPYYZMquTr84+fL2+YA+c1kLs07vrK Sfegbu2+vby/P+zffn/++s9n+IrJod34HOuEf14nfv4O1bzYGhQCMd7frd7pXuw2iivFJkNx 0OoyvLB05QEV6o6nolPXflN6s4nviwKzjFUX977uAmfK3n/6YIDNvQWsi+2PP35GHVOHpIXu zyC9oYEdDio+KMzcaHAqo2+Q78XDmxfWHr0UFAbDiXoQ0mLGrALf1CxhSTVtoVq9h+rGFflw lcDO3bsBVgALpFXffUwW6fI2zdPHzXobfu2n+unWx9KL6VpQil7ikxNLVmdKPtKnfW28Esc6 BxjIWc1qlWKWFJ9k64QlBZgdhpGPe7zBzyB2rHA9xqPZ3KVJE9QCNFIUNoV3u96ukC6Wj49u ANYI9+NDPbBeqBT/LpmT9TJZ3+oQkGyXyRYtbhby7U8u+TZLsSzGHkWWRRroNtlqd6s0d8Oi JmjTJmmCICp6ld4TqwNCJV5Xd0hYbVbfR7t4rMviwMTJPNqNKdFTNbK+kqsfRzghz9UjGoo2 UrDPYp12WNeBkywRuMwzWOhYCcnTXtbn/AQQDH0tl4tsgWA6ia+/nDRKfkUwe/8FPoflRJkJ 8Br1zJfH7wdYT0B+rjHTy0SRFXjJiCY5EuT1Hr2nHAmOh9S5nZjArXuP5IF7jmLODLYkryWC U4pQS3IMJVhBr+o9jxZBSu6ayabqtCkxiuhT1ytvRF5J2zL/rcgRx8lRm8pvDZR+Brx2XU19 1J64+YUnnEo1jX/dlRXwA8F8OdHqdCb4jIvVIsEcQEYKdawFibBGXNcQbD+O+EYoijAmCEGD GHF74TUdelE/4g+CkbUzmGab6Ifd/CRaGqKENOWpkEdeyXOpWBMYTDGqE6lAVoy8mTmRPe7h xz2ihh6JQHPGWiJBWwYa8pXkNV/OPlnxLCOmOMrpBFTxQA1tJXPZuIsnhdhsl17InI/ebDcb rHMh0S5Wv8KFWZMRCoEarzzCFkS1xE9X5uElB6WWuymDPPQZTn7W5azF8ftzmiySLNZNjU6x k9elUsaEuqI9y6tt5gsJHtnTNpecJEtcPJqTHpMEk5J8QilFE8QcIgTR8bN4L/XbHL+828Ly XhPLeBsF2S2yZWzYVPKDpkU9DxyqE+GNOLFYJymVkcZhJ5akizVusHY73ukC7fIsuKd20fH7 dpfqWNeF+36v941w8tEGx7GSwVKNFBRr8bRZJzjyeK6+xEbtUR7SJN1EsJ5J3sfUOELzs/5q 3dSjBDcYB8jCSbJdYMeZR5aL1Y254FwkCRar7BHR8qBCdJgrVnoE+kdkPni3Ppe9FJFNwSra scgo8cdNkuIoEM91ltDIuBegrMtVt4iydv3vlh1P2JXtjPDKIhMsVYRDlq06+4FoW4bv3mnn Wkhtg78x5VfQjCJvZrhk6lxVydFqgWe08ZdHkm22WeTj1L8Z6KjRYwE+WrOEe0wJ6NLFopun RpjR3FuLhmp1u5J7R3bLez8HpMcjWElRSc8nErdmSsgEJOl7dUh+kBHBRJzbA8hsWfysEN12 vYrsR9mI9WqxiTDBL1Su0zQy518GBQH9rrY+cSsLYDq8t68/C+PtFOp6TGDCbctZeLZqkJ+e VUH85KwawvcB5OBmvBggZqUG8LSwYfshfZLMIGkIyTy+amHYCjao1Wow8J2e377qJL7sl/oh jL/2e6l/qv+HPqEG0eSsEdhKM+iS7QE9L9YSLIOowVm3ZbQcAHnwWINfts1tQR/c7BGoMUe5 8HPw8UfCqf3uANJXYrXaIvDSk59GMOXnZPGYoMxzJDrw4EAd7ejYhE3JFxDjsjH8//b89vyr ug6YpaeR0rP7XLAhPVes2237RrqBviYiNwq06ZTS1RhCWOrc6MoVWoWtDCtQvLy9Pn+bX2Nb fUsn5co91yyD2KZ+hpgR2Be0aUHJlLQYMqzidMl6tVqQ/kIAVPls2CU7KMsH5rzjEuUmWgVv yI8WdRC0I22s2UhMhUvC9bmJ+Uy7VFWrnwASH5cYtoVJYpyOJGhDtJO0KiiutruERDQUhv0S fXPIm6frXZJWptttJAzekKlEykjUskmM9fv3D6oagOg1pi+rkPuwYKn1LazTSy/2kRwKhhrE 3izqQ+SS3Oy+GqgSl44shX8UOUBnzYW1fhLYVZdFCnZgl3mVBnyjUpHnVRe5sBwokjUTm1je AkNkmfonSY73VoklvUfGDt26W9+cCXsJ34i7lQWhKSG6jQRNWvRBlH3Z3GtDU7FKPb94jzRX DmU6oT47shwYJ36NPSw4JTcl2ermJDUt/pZdwIiD5cFz2Zazu3aLNA9kVAUJqx7OteEuQsb8 uvqjiIRf1V9qHnmNS+UtjNVoPHNFEG0weWld8r+2zdX94yzZ0XR0mkQeeBs2gDC/EcjIGs6U GbMoI/4JQLC3niDGAn/AE/SfrlM06fSRA1A/SALyDKcYX5jI9mSZOdLmhBjfwZthclgXrqMJ aRoVx8Y/js/A6Lcjf0UEkGmon6pcXy/mmP1V5YBRzxIvF64b+gR1Y1RA5E+XvqzfDG8cRvwz It0baoSx91Jcwu9HA5jEbXK99T7FxZcbZQ5/Go6NpQfWdKDcBWY+A/XUIksYsdxaLKgvxjKL FVVI4Eesomg4kEtWnS+19L1+FVpXjW+SXAmV6sGztu4wX6yx/zLLvjTpEv02i4skM5uReaoZ MP/yyXOcGiD/x9iVNLmNK+m/otOEOyZ6TIAbeHgHiqQktkmJJimV7ItCbVe3K6ZcclSV32vP rx8kwAVLgvbFLuWXxJpIbIlM4eAUIQ/eZMdYULZwKH0ve649dr1wzCQDptimBbzctrmHuqWE xhU3k+CCVydLB/MGbcdZNasLTpRGUtKmajanEpkLt99YCfiMt5YbIBEzvthvtcl/SNZlIDbD moHWSK76LPC9yAaaLE3CgGA5SQjz4zFxlHuYjexU22KrE/Nikb+uzllTad6UF9tN/X6ImqMH yQOgqzVZE01cbQ/rsreJvK5jh0Fm0+YOApvMnTUo0hVPmdO/3F5eF2OAycRLEvqhmSMnRj5C PPtmT6R1Hoe4p8YBZgS9whS6hHlW1/LJFg/mBWBTlufAie7FURB2tiBQ8UaFS+DR6IeSb8yT 0CJGqgHBQEsiQ3g1G/aBwBWY2lkvP15e77+u/oQYNENkgzdfed88/ljdf/3z/jMY5b0duH7n OxEIeaB59hPDGNTNwtjKi67c7kUMKfPI0oC7Cg9KabBhHqNMFkf0U2Ar6uLk6gjd1mekXKQ7 oXL/h3D5rTO8K2o5/hTawbB2EfKRpc6St+98fMMh+7buUResAOqxGYt/uIp/4itgDr2VQ+06 2FAiVp/wfZ8eugtfH1ja/vD6RaqPIR1FRlSbSOeQN+qAh9cUUGWEF52Ig6tUZ8PI92tOdzQz C6ipn7A4nYEqk95Ual87qxY+yjhtiMWDLaDuFFxZ6RkeT5sF/0wcQz4fPKzLQyi+dqqvL9DX 2axZLRNA4YxSbEr1lNKzdFQp37Hp2GyKrRXWHQRBVmUcjVYl78Cbl+uzO+OsSdL08GDCE/+5 ucD2U1snAaCPYWEjIjara5uI9MABQh/usUUeoM051XzIzzTTvwgg45sAfHPWgEtRwrg29xwb cuAQRxpOGEJaOIp6htd/ekknZaHQPn7Yv6+by/a91Y58ftRkS1lV2O5ooSzzyg34m+fb6+3T 7XEQSn231AhhM6xeNRj8moPjICsCncbVV0VEz45zE8jEMaMIqTLjH3SN6hty1+k/tJWtvHjo SiPKyUx+fABXyEqYaOHyLFWGb9PogY0bt1vLfd8M7HIZ1XRjBkgYWp4O34nCo9t3YstsZjKA 4iQbbTeFyZzVp+z/hlh519fbs73G6xteuNun/0WKxqtBQsZ46jJEm2qML19GrcBQe1/0d4dW PLoRu/6uT2sIaTUa6fOZiU9rn0UEOT7Xidxe/seVD7jjZrTRrWBtlqxG9b9dnSkXc0U+Bhgc AAhCfmzU0NHlXttgKPywkN8c+Wf6ST+kxP/Cs9AAOYlZRRqLkp4b6iU2vc4a6nce07dxFqqp BhO1EXDQqB+/TsiZhKiD+4mhrzdnO8Umreq0s+mHrKhUS0+QV03RDwS+gOt6CAzBp4Gab2JC MrnQPWyMCWP8pGzfD24GtDY2jw/F+lB4MkaqJUArwpOgCvNrb97rylg0X6/fvvE1txh3yIpN fBkHiGNKlcGc3uXO2IxMLaj5XdqsrerAnQ5+CCoWwz385xFc66pVRq81NL7WbvvLrrrLrSKJ N+8nXGHJ9lyzqIvxVbRkKPYfCY3dDF1ap2FOuXAd1scFNmtGNiQh04+WBNn5hld2WJ1fNtlO 28O75WHavQnq/T/fuM7UlnhDJD3jkYZKHWL66GVM873D453oKojR7jgan+UZsyycYdXCXqXq IYbkTTacoOguOlS6GU7EYtFDbAz0DQuXJKRvyowyU66VjYDR4HLgbnK7I8yGdT2pkXBbfjzs zfG6zmMvpGb/cSphCJVXmNR3J3N0p4kXhgbxj3T/8dLrsUwFIDeyrlJWDYt9s/+AGEZmDtCr cRQiPSDU+EIHyEcVriIISxwWmYUQ5EQ1KJHk9/WZRVYZhvcX7kLYhmEmOtRsHKm2AEzR7hdH 6LpnZ0zAy4sII44+HRpZCslDA6PSbZ75lJzV8iHlmNboPxFcPtOQCD/TGjsaHFA7G0vqBGLV sc58n6E+k2X9yu7QtbYObcHK2RHU0a6MOQi327bYpo6QyqJUB91NqQhSLdqE/P6fh+F4Y97M TFzDxly82DpoHTpjeUcDNFqPykLuavxrx+HazNBttVgiSHnVenSP13/f61WQ5y3gsbBWG2Cg d9r10USGSnmhC2BGXVQI3tXnsLtDZUtjJphtnJ5c5MwJNaxTOZiz/Lo5mg5hZ8Y6h+9K1b9k beYCnU2GL5pVjph5eKoxIzjACi9w5ccKEqPjTJegaTl+uINrBDUS93uwuM4adb8rmESkCpRo LMNNBP7sU91qT+Wp+owmIX6QovINyWB7EIVrWsY5MUk6bJRNWFuIsCbCNb16EiT5FRTb4sMV rZGClnd3bJrqA06dIkEZNR5QlzfNBjyPAKP6JdfZLKGhBDChE9PjxfTpPJDH5BQqGI+ZmcCZ jjMHOCYBFzKwbPIibfZYpz1Xdx8u2R31CBa7a2QAwY+UEaHSmYtOHHRq07u1IutjgTWidH42 Eq0arN9TcCiDiuuUObxgwWZJhYGESG3gOUOsGRUYCFIjgcilg1Etvm7m/aCqtBERsuIhAKwL 1QceI93cPM8JicZCW2NKs/ejELc5VcpDghB9ZDay5EUv7nAkb6SGwVZSGZevKJL4WBV4hwYk xNS0ykFDpFUAiNWLTgUIeZo4wHTHeZMQ1ms/wHe5I4u0aE8wydJYKIltOdmmx20htW2ADJjR TAqT+bYPPR+bkcdc2z4JwhCr1THriOc4Jp8aRe6YlnogT5JEtfM34oGKn5dTqR0/SOJw17RD vJrsr698Y45Z/w5xHfPYJ2rMjpkeOOnaUmBGani3iJ1naxwhligAkQtInNn5+JBTeQg64hSO hOp+BWeo503jsnqceYJf4lluF84RUaz6HIiROJ0SwFqy81H+Losj1S3CBJzLyyaFiMF7vj+o 0HYQJsdLxe/PDcG+zPg/adnCSgsNVjSw5V2EBSmFGKIUTVeeHCykWIbvLqn6VGQENjHhi+oN DjC62WJI6MdhZwNb9Z3bSBxeWfEOyrCSb6uQMIchpsJDPYd98cDBVw8pUqAYk6HBRGBvI7ty FxEfafmyZ7FN/SMLKFYnvlJqCUVPkOYwmfsi3RZ2mlJTI3IsAaQUA2A+yTJh3FZP40qQmoM5 FQmRcQIAJXhBA0rRhhFQ4LIVVnhQxzA6BzoOxMPQRc0CHJEXha6vI5IsFk/wRNispXIkSD+J 05eYIgIpEUzuIOotqqUE4KPTgIAC/FmUwoEFOxaAu+wJOivUWeMvz3J9Jl/rIRNB5rTcH/q6 jnDvWzNDvCgrdewjIlpjMwWnxqjU1vFSf1c1Q9sFfPksf4YKIafjy8GZIVmeXjmD68XAxPCz RuVbc/Qxn8YRoGNQQkuTUZOx2I8Q+QMgoIj87ftMnnaVXX9osVz3Wc+H5VKDA0eM9TsH+CYT GZf7RrgRxcq5YWGi1b6pXSb700d3Ncw6CyXsdj2mUDkZUwGc7P+DkjO0XwbjxKVlR11wNYQ0 f8En8cBDBhIHKHEA0Z0RiGgqSN1lQVwvaYyRJUF6RWJrH9NTXd93MTZbdXUd4Uqf6yBCWc7I 0hgXvlKoY5HPoXhxMcvbgmE9WO5Tec1vJQrITzQjZ/EpXV7t91mMXwdMDLs6C5f0Z183BBsa go70u6AzlB7g0gDI8uxRN6H+Cn9ETmUasQi1TBs5ekIJ0vKnnlEfod8xP459ZM0LACM5DiRO gOZYuQW0rIEFy9JY5QxVzELzDakKRqhbdoUnovEOWflLpEAhcWyI09UFhdDVaWURsODlI9T1 aV+CkyfUI9LAVNRFuy328N53OM+dwyh7dpquo9QRH15dGNS7thQemMA7tsMX98g6hi7dHiAi etFc7krUmxvGv4GdYLczLC4xTngaLr2FLSRtJYngUxGxHIEB7EbFP4u1/mmZsuZoy0BenDZt 8V4BrIQhEI8rQtDIY3pwv0v7bJejfvA68LJ16Lpyrb2T7tbaD3ifqIbbEl9lpQjDjn49oiYR 3nWZX81jU2NxFFa+6ZpieOG560xmHgPquINcZ3WKJAtk/ZeMQg+32zj3hGsnhxPQHTA7V4HP xbc+Hctep9klq9GIYiqbdgElkeFiZX6P9Nf3p09geOj0XV9vcuudA9DSrGd8I47NLgLu/JgQ 6yNOpdjWq6nLbDQssT5Ke8piz20ZL5iEizMwoDaiBlo8uypT3R8CAE7yE09dyQqqbYYiUgHj wzNGM48YAKnh7RnWSKLG4krkbH4jTquoeSKBseBv7yaGEEs5wjc/E4ztEQZQu50B2jbtC7Bt Nc62RMUz4p/NJh2IugWmCmiGmwJoaKQf5wJ1V/IdPBFtiJR2B3HT067MlAUY0Hji2tOWquG0 TDvbB5LxKkrJ1nSrCjRhf5TVh1wdbACYD2mAxpgIP40Rrb4S5Ai9KZeCJS+HbIGDSx30cG2G Q2uQSTrDjHRmOPGNzgEqC3wkMZagnpYmlFr1FeRk8aOEWR/1ke/wMzDCCX5cIOBiv6FkXeN2 mMVH8fIRNyIUanERbYse82MHkH0FOVLMY+CJ7ooGABlNRlIqUVxOmc3VZmEfMnxpLfB3zMP2 eQLbh31EmJ5NV2TGc2hBLYM4sj16CagOTTc6KvruA+NSjWuodH0OvZ9MAx3fDWELLoEZRhBA 03y0GW0PeNX4SeDSiHAtzJiVYFUfdZpp7g23kcQLdX+K4hITd2U5e+zSyibpziE7Xosa5bNu QsdSGwaRCjmMrME6JOOSFcW00f4sQWupwBQpMqfak8OEGA+fBoxrWtS2abCZRAR3RNKjEZaY AxBNzBI+5du7itDYRxKtaj/0Dc1p+dsWxNHEU6GdzsyexqtDttun2xQzNxHLEdMEVyHarTgC SCNmXRBXFDvoFDWuQ+3wY6QRz6SBYkdoljrn1AA1uh5An1giNVjquFdCA4O15DD35DMNW8eJ 8uKHRUI5Cud3YM18dk3YI4tuBq1/bCJdD0scYhLloxL9gbxrIT9+2RZb2DtqzuxG0rQvsAAZ 6up0qHrtNm5mADckR+kVpzvWBZo6bIXFTniRi693tpo1tAbpy6YZgm0IU022FSgPfV3EFExs T5CeUliMdf6MKNsFJGm33YbGo3e2Cs27DiR1uWNYTNw0k9cQStBmFAhBJSDdh36IpycwxtAU 9d3nTC+7KvE9NDkORTQmKYZxJRr5jhaHSTrGFxUGE7b1VFlYTNEeNydHHdEVtIFF2CmlzsMc QlrJWWL5e84TxRFWNGyHoKMhunjQeAzTMQ1jUZA4ocj5VULR3hdQSJ1Q7DsrAlPJL1RE3b4Y GKORI3VpnvET4QIu5rhVVLkawltzWQjrJgwI3p8NYyHe4ByJHIOjbt7HCbodVHj4Ngkf/dPS FUkZHiYF6O2IyjPtdLAUNsePjmjWCtOJaxhcmgSk3y4bIGoVqPDoTxRmQNh7wwPqxc8FF7hU Pmn+ZWYGa8+kQHzSR+nWxm3GOlo3KerWW+fp8M7swprFUYxC1TYkHj7FWosQBeLbNS9CFTaH mHT8hUPxHq8jX7eHJEIdJGtM4w4KxaiPC4zcE1FUD9iOkU0scadJfFRx2bstEwscw3bcQf1E pYw7oJ+x2a/E7JXc8NYa+dz5hkxnwScKMUiqdF2utZe5bebaTGXWmQJQ9oe+3JTq0rEuwMkQ YPAwQPPoJpLYxb5uZiWCihyrrmDAgDYZsLRpue92aX64M9m0jOdM552ACvC1c9W7YhwOjOu8 PQl/VV1RFZl26zE8o/78cB1X9K8/vqnPnIbqpzU45LRaQKIyAtKlP7kYwIdlz5fvbo42hZd5 DrDLWxc0vpV24eLNhNqG00thq8pKU3y6Pd9j/mJPZV6IwJsLzZ1Ji9UK92lzWs/nVVpRtCxF nvnD3w+v18dVf1rdvsGeS+kVSEcL3Q4EvsTgu5G04eLQ/YtEc8EAHPx2XOpyf2jx21TBJvym dYVwqnCpDl13wYNbAfOxKpRHNEN1kGKrQmZe/PQ93G5Jn0VW53Jk7ju1f67fXr9rXWSDb69P 18fb31COX2B7++XHn88Pn53cn+dawdPQIcam0SPrY74tekOrzIBBoxkdbpIa3XkPhtqPlYCr qfigxuYwAfZET7PpfZ2wB48DZpp5vm5LXlxHqmrBFopsbPXlwOnSNCZ6rKNTUM1jWN4ouoXz lxhBWSwxik7dPDzfQ0jS1ZuyKIoV8ZPgN7VTtWw3ZVvkvTHmdT2iOhmQpOvTp4fHx+vzD+Su UyrNvk/FrZDyEdzF2aKVnXPKF5nS/U57snWH9pmh/457MZnJOn1/eb19ffi/exDj1+9PSKkE PzhPa9SrZhXr85QMLtgNzTfhjKILYotLXQXZWcTEiSZMNQTXwCINY90q2YYdVzUKX91TDz9i M5jUBaCF+a5icJRG6Im6zkR8Z00guKfjgYfKds6oh54S6UyhtijXscCJ1eeKfxh2zmoKPMYd UWmMWRB0zHyljjGmZ0rQsw5bfvTXQCq+yTw8Cp/FRPGKC8xfEl7XlzVjbRfxFrVXKvLrY5po EZn0YUlJ6BD8sk+I7xhPLaOu/HgX+R5pN04xq0lOeG1RS3aLcc0rFqj6CdM4qip6uV9xDbva PN+eXvknkzcwcdb88np9+nx9/rx683J9vX98fHi9/231l8KqaemuX3sswZ8NDHiEHwJI9MQ3 Xv/oM5ogEs+cITk5IsT7ZyErYMCPCsVCjY8Lh12pgBnLO5/owwFrlk/CB9h/r7jef75/eQUv 7noDqdN6e36n127UshnNc6PeJQwys9r1nrEAPducUX+cajjp987Zcepq+EwD7SpnIlLfKkHv O/aggH6sePf6mFad0cTqy3BHAvTcahQAqp+bjqLkLYoSTRJLlCKCihIXO1dKMEl6zGoG6DjP uJE1GRiNMAUH6KnoyDkxloKjEsmJEaptBmVPYbfUc55nM9UUxpyZnkzJ1VMSjTGJsNuPSyo6 T4vcOz73WZ/woeXuO/CHlZIIb3H98H8S83715lcGYNfwRYtdAaC6KsArTWPPHhucSA3xAjH2 DSIf8sbArqJAe7A/1y0wem5/7iNEEvgIdJhNjGPMD/FZXBSoXEPb13hMVpUDOw8Z8Bhwq1Ml vXF/lnhmQw4VZzo13STa1A60IkOEGIauH2GGRLKX+Jqdeq0t+pweEOfhQNtXlPlGSSXR7HJQ 0kbhP+aEz+awiT/kptSIPYSqnrNhAnFKLCgKZg8g2W7oYwEFtrSWVIuxNYTSvuMl2fMd95dV +vX++eHT9entu9vz/fVp1c/j6m0mJju+D3OWl8sshPjTK35ow+HxgVYaIBPfLcrrrPZD1IJE jKNt3vu+mdVADVGqenwtybz7PGQUe9YclR5ZSOnF2oKaXxJbP5Vd/usKKqGGauDDhlnDRqhI 6k1+VUUW+lT/Xz/PV5eoDMxMF1cWgT85fRwPmJS0V7enxx/D+vJtU1V6xRo1tPc8n/HacZ1u KoUZSqbR0hXZ6LJ2jASx+uv2LBc51jLLT84f/jD7sNqvdxTbt0ygsWDgtIZaYiuobqmFq+3A w1/2Trhz5ErU0H2wmfdN0e3YtrLEnBPPxohI+zVfzJrqjGuIKAqNtXZ5pqEXngxZg90StUQQ dLRvFGp3aI+dn1pjp8sOPXUdZu2KSp6ASYm8ff16e1qVXEif/7p+ul+9KfahRyn5bTHqwqhe PWvN11BkL2RteUTe/e32+AKuerl83T/evq2e7v/jHjD5sa4/XDaGgaJ2JmSfP4lEts/Xb18e PiEukE/bFCKCKGd2kiCOlbfNURwpj2VQHZ7xHxCYt7zk6xKjdpq9F9Dzhuu08xjJBOsbYBK+ Q2ojI0ntimoDJ/s69q7uhuAcNn2zRiGZHC9P3UEs9+ZQHbYfLm2x6XS+zRrCQU3vYjDwcCra tKoO2b/49KfXVzJURSq8M3fCMxw+RjkzxJG58I11DueONXiCd7LycuNXRwD2vdF0pzat0Ubg nCh9W9QX8ZTE0aYurMt2xeQEHSzm7p8+3T7zocNV5pf7x2/8LwiJoQ6hth5i2/BVXKSnJoM5 VCQKbDp4s4fjwISdF0Dd8+RSgeSCpK3tYJmizoe6yFM1LZVV75o2zfGQSgCmdS6DlmifSCqv q7O/B46sxD0AKixgC9f06CJzZtqmbS9HwGaazdOsWb1Jv39+uHF12DzfeM1ebs+/QXCEvx7+ /v58hRsdTR3J9C7wIaaNfi3BYWJ/+fZ4/bEqnv5+eLr/eZZ5hua4mIyeyv5wPBUpZj8vBsy2 MIcQF3ur2xyO9oUC3KZb6ggVKaQkS1uI07DLUROQiaU65YZCen+udML6kO2ssg2B6HhnO1Jv 0v9n7Ema5LZ1/itTOXyVHPJFvXcfcqAkSk23thHZ21xUjj12pp7tcc2Mq17+/QNILSQFtXPw 0gC4UyAAgkChE4M581+9//b45dWfcU0KBwLUymsJbDAjT9WBUh5l8xAEwFfzVbVqClAdVzvv 4zakYcmbvUAPq/lmF/uDGGjUaRbMzkdYt2zC+NGT44zd7J5/xTFgeCZi1hzixUrNHCmjp0i4 uIiiOUBvGpHPQxbM6U4D4RWfciZXEDTny1jM12wR0PGgh1IC84Ie4J/dghaKx5Rit93OIqqv oijKDFNhBZvdQ8Tofr6LRZMp6GPOg1VwY8Ma8oMo0ljICl/8HuJgt4kD2mfZWg/OYuxqpg7Q wn4xW66p9M9kAejRPgZNdEeNT7JcHgvMMbwL3HhZVl2ADoPF6p50inPp0uXKdQEc0AX6h2Tb YLndZ+T1gUVanhj2Xm/62US3LKJdQJvDetoyEzm/NFkU43+LI+y/kpqOshYSg/Xtm1KhM/Nu YsVLGeMf2MFqvtpumtVCTdy79kXgbybLQkTN6XSZBUmwWBa0Ia0vUjNZhbyur5h0ZMjMTnW8 ZtdYwKdd5+vNbDf7Ccl2HkxMal0WYdnUIWzmmHRFGm8duY5n63iivoGIL/bs9v6xaNeLd8El ILmHQ5UHPyHZblkAp51cruY8Cch5sakZoyvk4lA2y8X5lMxSkgBk8arJ7mFD1DN5mWjIEMlg sTlt4vNPiJYLNcv4BJFQsFDi0ki12fwbEnombZLt7kTSlMUVhJPLcr5kh+oWxWq9Yoec3gWq KkGWDOZbBd/WxMWOT7xc5Iqz23xCk1apfzMw4Otjdm2Pzk1zvr+k1CPfgf4kJKgn5QW/kZ17 CdHTAOuoOGyXS1UFq1U03zhaqicEOCKG9gshD/AO48gRgyIdvjx9/Pw4Eil0DrD4hsAb7WF9 FTSAisFiwrCMilB7GAGo0IFKp7UrkAuALJ5Um3LMY78XFUaxiasLvhZOeRNuV8Fp0SRnd/TF ObOVXBsDykelisVyTawsKgdNJbfrKVOOS7WcPo9BMYI/Yuu9xPVoxC6Yk3cMLXa+8HQrIxwN y+rUp/aiwKjn0XoBszkLyIdbmrCUexEy8wpt4+tvHnZzE7v1sHCcJNVy/NUAQhbrFSwH+eag K1vFs7kMZiu/uHFkBIbCist6QUbP8sk224une/bY2GM3On1mfNqsPHO0ixo7jXpf5vizshvh qmAn4bHCFkgEA8H+1lGVHl1YfpEjQBL6vY5EXYOQf89zSr/AhHBItb9sF6uNI9Z3KBRc56RZ 1KZYuBHObNSSXOaOIhfAsRf3iipd84pV5DVMRwGHyspNhWFhNovVDSaDPIRKhqfX4mLcdtFf mkslKX4KUhwvlDY1NfdHUR88Ksy01Gf9Ng5tL++/Pt799ePTJ0xf6FsvkrCJ8jhzUhQCTDs7 X22QPdrO/KSNUcRgEvQVjJwKowS95bKsBiY8QkRldYXq2AgBml/Kw0y4ReRV0nUhgqwLEXZd w0hCnG4u0qLhRSzI6G9di6WdfAyHyBMQYHnc2O/MkPiUMidpFsAwvHsm0r3bX4xL39rJ3KpR hcauwrZKyXX8u0sROrI548zpj88bZpVTEipSX0EOn3s3ujYc15Lc0Aka0eFbYwVt59ALKBUV SwdQJYgaXlpXnLxZ7IXtwN2o0/l6/Wtz/NLvbgf8yDt2QPWLQldQi5O7ixDgP83twKNUgyMK sjVnrjZLSivBfdJlQvFBwMcwPTeoPiTyKpW4P3IKl1JA52W2VQ878cIf9JQVEzeFus7st6U9 yPkMnG2kKJ6I22Hh7o5Fy1jswpKdWEqbwhErKGsPbgJeAkcQfm2Ha03ntgXcIk5o3yzAncoy LktKpkekAjnMHYoCCQo4uT8R9YGuocoX/vfJ6hzYNk0uwrxJL2q5si/IAE6Fk8f+mUfUE7uP oy5V5t4+CmFI3nfawrRXeuodAB1u/P0YkXJy/SR6LlDOFIjMNzNHRyEPO80+w/cf/vPl6fPf b3f/d5dFcffAY3TZhXaUKGMSs4eehJ3gDzHZMglArJ2rwFkOjcoliBRpElBCiyZQp8UquD+5 NRpB5+LXpqUb0vsMsSou58vcL3NK0/lyMWe0xQ0pbuQPRDTL5WK9S1L7oqUd2iqYHRJb10a4 kd/8bpQqX4DoRqmj/ffvT3FfwUBholaQQxmIqjM1lgE/jm814NqnwDfL67dj54xbPjMD0g+2 OGCGQGIUart1VT8PScZLtoY8it3jzNl6YQda91A7ElNtVytyGH58GasTKGLWZENUqot+fF1Q thHGixU3dOEE87jJKgoXxutZQLdTR5eoKCY2FvfM7C3v+AmH6FoB6Q4jYVqMQT9hoWU5vL6x vpkyLd1fjbbYgiBY0AhozH6LbWGi7Kjmc8elenSDP4xelsfCGbXJrAzS+4gB7oW12eHHkKNH 1bxI1d7B1swyfBxHZYdcrcZd5vvjB3TKwYZHkivSsyVaqO1109CoPtIHr8ZWU8eHxh5BGcgm 0SHPDoKSYxAZ7dFC7Y4o2gv45QPLY8pqv9s5i1iWUZKNLqN95P0y0bUCkZg2uCMeJjwti5oO YooEHF0aErd7+LbTfkOnYQ8HfvVbT3keippS6TQ2qb1K0gz00dJ+eo5QqFib9D3olbuAM8uU /VIMYSfBz/omwWvnWnfeFU5/BWbhneitUNwnf8dCNxSig1VnUexJDdAMqsA8zGrciSyayryl sdz7JEBeL0+lBytT0W58Aoo/qsrhAgZurzMC62MeZrxi8dyghmMZkOluGQCYlg0Af95znskp CrOfQVzOYbmnpjyHFa3HE5SzawLH/X6yYlCi9baebllEdSnLhNLUNB5twfV4P+fHTAm9FycK Fkr4ZcpacdqLArFw8KGpDPY9fVerabhi2ZVMT6zRwEDgfHHXugV6hhYbc0tbtekmq4ad6H2o IA4W+p4k8hE13rm7MMnwRtnvXXvDNNEnnYenjSdtgxVn+QgEuw/OCi5HTRyLKjtSWpzeO/YB q3kF3iMy6bLWHujtb7uZnNXqXXnFtuyiNny6tBL+Nw28TXL/40cLeZr7I1T7+iiVyT06uauO eNY2laSeWWh2KkReKo/HXkSRe/164HXpj7GDTY/v4RrDKewk98I50+HFm/1xtGtbTATjwkAm +tdE1SyrpC3GUEJC7zDmiix9k2gl3wtarhsV6xA2sBdhZNiUe9Bf0fqW8dYqaIk4GI56HHgB wfB9oVZPW4GQ4JhVopnKQoEE8N9iKtAm4kGshcOAyWYfxV7rEyXM63E9U0iEQ7UErx5e/f3P 69MHmPPs/T+OI2vfRFFWusJLxAXtbI5YnbnpNBpiO983WvKqYfgonmxFXatbkTNKWDJ5Fiqi D5ucfD6Sg8ykROTwtg42Nuy1j7Ixnbx8e/rwH2q2+tLHQrKEY6LTYz4RNBSDmzdhVkaU5QeE OY36859xu/vn1zf0Yevcj+Mb/VAiyaGyG4Nv3ulDtmgWW+etaIutV7s5OT8oXaOrCsY+GNde 8LN37uAvo/1TsEYLCo7oMuD0aQ5nGclJNF1Y4wFZgADd7M/oRVykg78p6n3EWumCjKkZ/TTd oItFMF/tmNdlUGfXy9UIinlVFqMxhFG+XrgPrgmCFfUi28xBHQT4kmPpNcezGajIC8cVXiO0 AYUEzinguMdoMljS99A9fjenFbOeIJjdIMAIXisy1JJGu0YBUyXGw/WnAIGr+bj/1Wp1wSjA OZ1koiXy49914C2Z5Gzotxs/14ZP8fCexoskqOFdmFDF1MQR0ZOt6Ct9jZ+Mz9hio9l8KYPt yptCLxCZhvUhlCY/t3i+DYh5V4vVjhJTzOcxDrKv4USgOxutIobRsUbFVBatdrOJN9Om4jaI 4M8opruM34f9KkUDDyqer3fj0Qu5mCXZYrabXISWwljPPdakXw/99eXp239+nf2mT8w6De9a k9WPb+iaTshHd78OwuVvli1bLxLK3+PFNcGob8xJdoH1n8ajH/nUADEcSXi1ZVGzVDo0dfs9 jlmQk9iuB843/tc+jr1mGk3zxWwZ2FOqXp4+f3ZsTKYCOCVSY6bz9pJBQEfzCUHcISvhoNmX tJziEOaKMqk4JHsOWkbImZrs1O37Q4c0cr26aSIWgc4iyIs3h45gwh2qS4GjV1PP+tP3N3yM +Xr3ZqZ+2LXF49unpy9v+KBCu93f/Yor9Pb+5fPjm79l+3WoWSGFuSUjx6ljj00gQVO3zUgO ruAq5qfJgmjvLCYXQsfmJueXRRHHXCzofH0lKQT8XYiQFdSG4MCdKeWiVpGRgGi3Eszwgdco 41hGgAqPyThGmLwWEXpQ2HlrzhpqKTqmsN0PA2ny8sRbB5GpDiFZ9xJrstdIBNveT+DU+TS5 fbcm+Xhpnfooncfeq/CjiUTiAiqMeJfyQtT3jgoFqBiE2hZFV90wHrm1AROMSvuSWjeB15+9 4dtpAjYedSzoUvXRlokRlCfrucX98Ja2aeNWuVA3Vnz7tiPnBc0GTnFFXc6ddGIgLOVUpqFo fpOtMkw4MRnd5OnDy/Pr86e3u/0/3x9ffj/dff7xCCqKra53DxF/Qtp1Ka35NfTMMYqlgjQ4 WXfbHqSpRGUbRhhs4CizjFLwQ7/DK8vDsRoTwtrwijkBIfUZ1lbS922ATkesRORexlPlQBTZ LbfUpaRFJMVqYSeL91CrSdRsOdEs4JaUs6ZLYj+JtjBRHPGNfWfs4Zx4yzZOP+CF04rubh9H luqwiQtMbm+birwetghOEd21NpI+iTMh6dssZ9aqGu/OUCgQ0usqywBYzLf7KnLJpEjgC6Zg TXJcLQPYbHbIv/0ZpKnCtgFEX55B+5fPP16odFladjF58xxIVZeh26qsI28UtZDRydBbJgA0 C6DfM3xFar0MbVMd2RXLSMBEFpa0aC5gQo/daTfiJfXj1+e3x+8vzx8olb3maOmEEdHusERh U+n3r6+fxzNWV7m0cw/gT/0C2YdZnLZryamxP0vxsvUs6t7tHSbo20cdVHDwvzQIGMGv8p/X t8evd+W3u+jvp++/3b2ifP/p6YNl0DEPML9+ef4MYPkcOZPSPack0KYcVPj4cbLYGGv8ZV6e 33/88Px1qhyJ1wTFpfojeXl8fP3w/svj3f3zi7ifquRnpEam/P/8MlXBCKeR9z/ef4GuTfad xPerZ77FzE2QXkbwXYy26eUJNLX/jpppC11ADiwuwGOO5DalCvc28H+1MbouV3mXu7Hbce3P u/QZCL89O0EJ2iyPOt2k8eYvi5jnIJMOG94mqniNPkOssJ2hHAK8/pTsNIHus29MlAbB1jBE p+eENXMYZsNPoBWQfIVfVERae0C4K2vnhlCQRppCWa678KPJ7RccCBCxcgHG4qxs4RDBwLfT qiwc71OEq7KkXO10EV4no9abNqCBWwnqRj7v7GS2nDdGbNLTBz/bBwHWrFqkSoqZHewIYQk7 cKf8M8aVI4oLpN6Y9HE9tWFzY3JjZRp+oBXCDqiAIC8+LIKsvInjKhKZNYlyDBwI1qnyAjLx IWC1Ec42gunOeCczwtQ582sGkO9DZK6nQG3AYAFjlxrA4AE61Mygy7Zyag5eUSgL1vKhKmu1 iO42y2+lbwQ+sUPj5AEIS1ZjIqpIeI8i8aIV+iCqMlKk22fNpQ5X3AWstrqqMWEd5RJ2IfyK 7FcjBiv0y6z07CixGoOvcEaGJz171f56J3/89ap53jB1rR6F0TEsuX4Ato+sDHpw9oowJkPB 8FJojmQkq8Di6EACjA2+ybr2WApBFTvdsDFS8Lp2rpwdLMtOtMkAqXAHi/yyze8nbvLMOC88 c0ZrIasLa+bbIgfNwt5WDgqnwu9fzqpqXxa8yeN8vZ543Y2EZcSzUuG+iTmtr7vr1/cAj4aI WVs/j5y7Yvg5cXWEmKxyNOiaUTdYMDBHrcHfzeFYCKUZ52insW8fX56fPtonC5x9dTlxfdyR 92eX7RhRALfLvZ8+U2uBVQ57P2b9u5z9+e7t5f2Hp2+fqQttqSjNxXxYyrkg62AT09ijHc+9 HprLIwGtlCCgo4DuxBC6QkmVMpvfKUwSUNXAcrwg6COUdlK2B4hVNXla96RyMjOtTxqdqLh/ PVUroHl553q0iPgy+HlbOYv2l3KULtcmGz+XbDsIwgx/6J5TEqXbHlZoa43KY+WwYl11zVMn 7FCZ0HANjJNsDGlYciSgXv7nRJIfKV7JQq8uQyhxHYn2+5fH/1IRsTCFAIvTzW5uJwc0QDlb BlsX6tqeEdInF7dTz3mtWWJxqf3mhq9KTGijMhN5SPoY4e6vI/N62DYHHBHuTJDKm/sji+MJ /4RBj1YRvt6o1JFO5VhKJx+FJ0u1QepBXTKs1pGQTwwjlCgQ3yQ+E6avaAAHyrfNk0Fmnjc2 y2oBzYUp5QyyQ1SlxEeuESU7dDSSR8daqKtT7cK0Y1e4+BcVLiYrXI4rXP6LCpc3KvQkUA0b zhNrmt6FsXOk4u+xw8gw7XkYAa9w0hgKWCPA2JPfA4HUdUrpMWj6wLsESn+x6uzXj0D180Oj x1PzzuvmO7qSd27hYW4SOTk1ugw+akWXEmc1L7pR8ntKEzmfwpXRDWSo6lGt3VEtMlPQ+bDn U+Q4JFsaoGfEPOv1d6mBGe8eYFNk9QJ0c8SbV6AdfwBhBS/lrxP4BO30UX2t3HB0DhiOn9Qd o4MVBT4IbvRvetgn7m6OHkS8t+xR4VHAaVEAF04LhtyPntP+7fFwWTS+beq5s8ZoG4PVG+a/ X74/lop5P/EyBu/GDYtPmPsQqaoB3BKeWV14dw49naGY2tkGq+CUtxpPctWcZj5g7nUvUtYe whRNiVw6H6CB+ZsVZoLerBiFECNh2FUMMPTBFviguoF/bhOw7Mz0e+gsKx0VzyIWRcyp2w+L JOcwxrK6dnJD9P7D324gkERqdklK5S21IY9/r8v8j/gU64NxOBe7TSLLHWg33ky9KzMx4WT4 ACXIOTzGSVdL1w+6bWPKKuUfCVN/8Av+Dcol2TvAOWuSSyjnQE4+Cf7u7t4xYkmFuXGXiw2F FyWaskH3/vOXp9dnTOD4++wXivCokq3NtPxGDYSo9sfbp21fY6G8Y0IDRkxBQ+szubQ3p83Y Cl4ff3x8vvtETac+Gt2V1qDDRLI3jUSbhP25aSDOKr4sEE7OYo0CMS6Laztc1YHXhT1sTwdU eTX6SZ0VBuEd2/tjCpwqtCtoQbqP1tbhOmd2zZ3nab3XcCpSVigReaXMPwMn6RT68ST37Qhp /AdglIq7gQ/LGp0up05MFo84Vgsa7YYOnUyLAFyfUHRLe28fwm/j4e40Hk72NBx1dExqCTc3 5I2oZjnZhAR1Qe7dRjqYOdxH/I+kMnyZrAW1xrxq8OUSGZTRJ9T63K2aNAGaqad8jPoCehPf avLBBMkYl8weqKtoC12SxS4Ptzv0IEk3rB6/RGfvU6ivYx9s15iOgOchB/UuJlBJzdKcg8Cg V8xUsOj592W0l3KBwcmmpNd8alPuK29X3xeX5ahyAK6naqjbyi2pX0PQu4zHTXjt/c0HrcMj 8LzZJunCUlHPrgwZSJldQx1jlcoxDJnfeOBkqNHi7sOXkSMC2A63kMubyH1ko4cTwxBsl/Me TR0dhgr31XQjkwh/YN3RSvTDHmJHRptqx6P+l/TWRPybEs6YqQL0JPRj/OXj46cv798efxkR FrLMODEHeAM/3UBtvyfr+lgW4+0UZqMthzD8gx6Bv/gdQtwBL//1J71eEmiMgg5HrgRta06g 2yH5FcDRefK+2+ONk64uJ3VWrs5lffDO4w7pS2Oojc29347nv4FMGE40cvnnV5dcnllF9tqQ N3RUxLosFVJMlkRNxriagQJIjrwlQtmLZ0jkDiwWkoUw88e4otwqgYQ6D9IaNEE84YSdKQV5 lf8Tp8Jp0Pdslseitt1/zO8mtbkBAOT/KjuS5bZx5a+ocnqHzEwk27H9qnwAQUhixM1cLNsX liJzHFVs2aXlzWS+/qEBgsTSUDKHlKPuJgCCDaC70QsTsGZRBEbeuY5cvUaUCrsKxKRRCIPy FLnsHvLmI6Isn+OcRCPOKtq3hd/CLlNiERoCC2ntl8PI5OfS30FQLUV++yUIoXhclqCqcwiX 9+N9AoVAOhrGAMUjWAY81EzIIWjdI74Jwp+MLwuJb+kS/6q+zj1LOtY5Oda2TU2FG/g4Lnst sOFaIL6gdKLLXyK6xLwQDZIrveC2hZl4MRdezKUP89nbj1nQ08LhX94iwqI+LJJzb+8XJ3rH E5FbRNc/6/367LOn92vv7F+fTbzjuj7HCyGa47rEcwgBUVRmwIINFqhmNDKeeAfIUWMTRUoa RfagVVdYVi0db/GaAp/h4HMc7HxKhcDySOr4S7y9axw89oxq7BnW2Fouiyy6agoEVtvjTwgF YRvNaKHwlEFIpdmahKcVq4sMwRQZqYyQ6B7zUERxbPq8K9yMMI45MRAI0F9gT0Z8iFa4hEuT 1hEmfRqzgI65qouF4TIOiM4SNpifY+wuvk4j4Ofh0Q7QpOAsF0ePMkmnW5AmyprlrW5pMW7z pF9ouz7uNocfbugGHFP62OA3lz5va6hm7zMXQE6iiEuGXD/l9EWUmsb/oGsHneMKUhOw0CFQ gqm8NegIrJE14RzSPMrcLXjzQCWM9RE9QaUulCBEoxS+RFURUVxDUbQnkbh2De7+ovJQyt+n FrEd+YOQcSiRRsC+IYcMsyzAlRYVFJAdyi6Ig6Ih+mh+8+GP/dfN9o/jvt29vj21v8lSNL1u ooyww7QQPdKpTG4+gGP209tf248/Vq+rjy9vq6f3zfbjfvVnywe4efq42R7aZ2Cxj1/f//wg uW7R7rbti8gt2m7BqWPgPi34fLTZbg6b1cvmH1V+RfE13JDyl6IL/kXN6vEzSqEi/QwufzhD 0UpUPLJDCH9CHjwUDE9Oc4K+8YlsYrTiJox/XS2S7SQxuGt4afsiW+gsKbR/knvfX3vx94Iu rLSsvy/Z/Xg/vI3Wb7t2qFY0fA1JDBd9JNeceQzwxIUzEqJAl7Rc0Cif6wxtIdxH5kTfajWg S1roV5oDDCXULCfWwL0jIb7BL/LcpV7o2ZdUC2DTcEn5QcMFHLfdDu4+YN5cmtS96mf5HXRU s+l4cpXUsYNI6xgHut3n4q8DFn8QTqirOUuNE77D2J52Jpals2ioppcfv75s1r99b3+M1oKJ nyFx3Q+Hd4uSID2FmFFR9UOpM2ZGwznSDKNFWGLuwWoG6uKOTS4uxtdq2OR4+NZuD5v16tA+ jdhWjJ0v0NFfGyhQut+/rTcCFa4OK+dlKE3cD4jA6Jwf4mTyKc/ih7FRMrRfjbOolPl17Xcq 2W2EFc3rX3lO+E52p14oENE7cMDs3eEG7kzSaeDCKpd7KcKrjLrPxsUSeYlsihcB7hk2wOTI DnuPdM1FjGVB3BWczv1zDHGOVe1+HQjv7edvvtp/801fQtz5m2PAe2ym7ySlKmra7g9uDwU9 myDfCMBuJ/fo1hvEZMEm7oeRcHcmeePV+FOoh9QqTkbb985vEp4jsAuEG5KIM61wfMa96tRW kYTjCaaRanjdiDCAJxefkW45As++q1banIyd1jhQtuaAL8bI+TknZy4wQWDgPhJk7nlYzYrx tdvwMpfdSSlh8/7N8MDsdxH383JYUyGyQloHEUJd0HNk5oI4W0LM7YmdlSSM64nEZS8COoyy odoNAxaNix3Q7tyHZjq5Djr1eTapHWNOHkmIPFiSuCSn+ELt3ujmbOedtfFFjkcg9LzhLpqK udNYLTMzDNqEDzOsStu+79r93hDl+9kTV1Tuxv2YObCrc5cT40d3xOKuyYHCfZIaUbHaPr29 jtLj69d2N5q123ZnaRo9Y5ZRQ3NMVAyLYKZC2RFMtxM7ooXAeY3UGhHFLdEDhdPvlwiySjAI qMkfHCxIgQ0x/dAtlDMwD5lXLu8psAnrkagGIC4BUMldeKFaKsnL5usOygvv3o6HzRY5HaFI CbYBCbjcVlxEdyhhmRVcKv88AZFcpVpLPhIc1UuGPxnLQHh6OKFnKtTxyQVhuDscnyI59S7e Y3h40RPyJhB5Trb50l1e7K6ZR9O0ubw282NheODEE8uIk8rIvwgRdAYsJvQPWBj6p3P3SwJF H9DtoiBt3z1lrhoFSEoNh069zwRS6dJmdo8/qeHdKytSPiRQbIHjwSwGd3z67Mgl1u4OEAPM FQ1ZaX6/ed6uDsddO1p/a9ffN9tnI4xIXAjDqoDkQWVv/8N9Kn+hbZlbybvAwW+YFI3wAdNd HojlpBxEXKiBPCbaNKqoPi7vpDR/aKZFlljqsU4Ss9SDTRl4M0b6JRrNitCIjCuihHGVOAmM XCrSUqkHNPahhjSyoya4NMw5gW/rBmj82aRwBWbaRFXdmE+ZMjv/qduNtTUkMHFEWfCAZxI0 SNCMHpKAFEtiJsiWiAA1pHPcZ2NXNvdoqifuigJXNaGaZ6mti0A6pQrbSWUZK20qkIHpHjpD kwCV/momHDzO4MAyhZpHuQdbUNytCKBYy7ifkeNgpFGj48M9iQQYo79/BLA+ZxLS3F/hl48d WkRl5rhC1ZFE5DN+BdjhCVpEZEBWc762kJGVOT/g/U8G9AvykOfjD1PSzB718GoNEXDEBMXE jwnxIDTmVutfvwRQ/MkF+qbM4szw+dChcDty5UHxDk+g9F0k0PPCB2YsgQhduCOxFWJAyjKj Ed/M7hj/GAXRyxUQEf6lR61KkKg9Z2xwAA+NSUog0oHGRHhqzYU4a2KpIJd2i/bP1fHlAOne Dpvn49txP3qVpvHVrl3xs+Wf9r+aZMgfBilHuJZChbsZF3g+abuTwpdgDIDkgqiMp1NpLf3w NRTh9n6TiKB5nDgJiaNZCm6fN1fabSEgIErbExJSzmLJTdoGCYFeQ1iMMdy8Tki5aLLpVFyt YCPJ66YwPlx4q51gaWx6k/ccXWVJZG7r8WNTEc0cFBW3IDxqjSV5ZJS2C6PE+M1/TPXsGJnI 7j/jkodeR6OEwPBMa1a8WsjyTHu05EeR8VZw5we1jPWDsZNcHIHEftkoK5jRmEIIlaOcx2F0 5kUWXmR8ClnTJA+j3hLTX/woIU1A33eb7eH7iKu8o6fXdv/s3viKQKSFyMqkM0YHBpckNMqT dm6HXN6MuaQV95ckl16K2zpi1U3voZjwzRCcNZwWeooAXPi6gYQs1reZ8CElnL3sWEoDrCLB NWk1CTIuujSsKDgddpUtH+T/uPAYZCXTucA7l72hY/PS/nbYvHby7F6QriV858687KtTcB0Y BETVlBlmIg2rjhOP0UejLPM4wq+yNaJwSYopfiLPQq6g0SLKPakWWSrukJIarGuw0yDTOi34 dIs4txso26t9Er7ocr4IIKtBgrdfMBKKHjgVSjDnBFzMBjfByrqONV60ZFS4TCRRmZBKP/Vs jBhpk6Xxgzv704xv+820TmkX6QjFPc8mWF4NERmzJGnVvX+eifNUj7TS4b6+pHsjlndVKVa/ ynqCUYXFa7NWG0bYfj0+P8NNcbTdH3bH13Z70CPqoSgL6Hkin6UL7K+rJRvcfPp7jFHJjDB4 C122mBK8TCAJ1IcP5nczvZgVrPMN9d2/92RwxykoE4ip9zJH32BquHULnw3xHRd8Hfjgze39 FHwrFoY6BRjMsScojYoP8BPSLRmZBCQ0gExvnnoOggAipXC3GvDXETQox/wSD5gTJL2g7Z0K BnBjFA8YGtPOGNjn2X0FNY5M47tsBfBCZsFjAuDpbJl6vDkEmi8hqOuE2nv6ADXZ2fLefgkd 0ivkFbjtahq9+G0lF+mAohXdDV42mwVfmHFXaYBRDdykAHcQL8MqIpFO0dsJuO77cAWtxd7p H4CMw1LZKH46lO4kUOd4vxGUcR0oUt19HcCW6Vesq47huBIBjjbu8BTmxMKXfkJ16avcWvKT KuyoWBp6Dy6Ld+6SJp9VYqOzJvUucSHintXMyNCjisB9L9H6NCYzTPfwD8Aeoyy26vSJg2Xa OuGBZKO6IweUNt3URUVfCwL7j2sWllhgOxCm04xTRRWoOiQM+zAo05Vp2DCs83oukyh36h4n GmVv7/uPo/ht/f34Ls+4+Wr7rEuzkJUbXKkyo5y2AYY0JrVm75ZIWEdZXd186nWNjC5qWNwV Z25dMYdCYV4kyKw54ce6TpabucL9NP3QNM6AHpp5zWez4poawhnLWy5kcKklzAxzrzgCZOPo GXB6RqWfKBcmno6i+Iu2qVuLyKuICqwp3gqYWvKDRxrSjckK8HEWjOVavXIYsnZw/Wf/vtmC wwl/m9fjof275f9pD+vff/9dT/+eqZI7M6HruVE7eQHpx7usF+jWIdqAd/AuUjB01BW7Z862 rOXaNVchTr5cSgzfKrOl8Ny0CIplacRjSagYoWUDEBFFLHc3nQ7hfRmpx/MRMJZjHcE8intB lY/d7BMy34HRoTGdlIc3w9Ttf/FpDRW/KqwsG0KO5zMBhZIYCzk/SqvviZNjIU+zn1NwxYQf QqV7hyIX1ncpWj2tDqsRyFRruOhwtD+4NEHkIQCfOt2w9SZR0tnZkAjkuduEpCIgvxR13te6 NLYCz4jtzilXTFlacZHdrQjARQpM/rN4YFDtuAQCKUkdC6xBoT+NvDeQgCcuZIq02QxwcIQJ xbDf4idjHa+YRgOxWz3iSyVjNt7NnhW+CUttrfDXx+iMC2JZcGkYbuzQ2xA+4Dk/IWIpx4gY XpEoU586uE1I6UOVYStXSFGQdEK8NbyfUDH1DBEiCpGaexEAPdviVDyAi1IEkvy6vLDb7Nf/ M7hBt1NV7f4AixtOHApZhFfPrRaGUEt5ZNClRH6sTtBG3njInzW8joSxezE+h/ckVkyQXUWi o1BLCcxFWcFPsi/STKCJFQlOpPeTTTl3nmoRDz0RFUT+xQNd2hQ1xlOi7IJmWm2STmLjchoH d3xhpsUEenxxcrUA7jlhAoFv7IoQStdnib3Dn2QCx5VdWjT/D/WuEmblsgEA --CE+1k2dSO48ffgeK--