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 80DD6C433DF for ; Tue, 2 Jun 2020 11:59:08 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 483EB206E2 for ; Tue, 2 Jun 2020 11:59:08 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726693AbgFBL7H (ORCPT ); Tue, 2 Jun 2020 07:59:07 -0400 Received: from mga18.intel.com ([134.134.136.126]:57215 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1725940AbgFBL7G (ORCPT ); Tue, 2 Jun 2020 07:59:06 -0400 IronPort-SDR: nQF153ZG3wb6xbnNvl/z7nLvWZHpnOw0MLQb61sO0OGHl0+1daDZ7oHNGMS2+pzSUOmWf8UeKF qHN+I+WReFIg== X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga003.jf.intel.com ([10.7.209.27]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 02 Jun 2020 04:58:41 -0700 IronPort-SDR: rKiKRG2jb8dHpusDeU0U3+7x5qanpn7RRphAMvnZJdDnI93pBC9HQMfu/aVn09hycHak2cKN0v hVhZB52vNHyQ== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.73,464,1583222400"; d="gz'50?scan'50,208,50";a="268676457" Received: from pl-dbox.sh.intel.com (HELO intel.com) ([10.239.159.39]) by orsmga003.jf.intel.com with ESMTP; 02 Jun 2020 04:58:38 -0700 Date: Tue, 2 Jun 2020 19:57:46 +0800 From: kbuild test robot To: "Laurentiu, Tudor" Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Christoph Hellwig , Greg Kroah-Hartman Subject: sound/core/pcm_native.c:3412:24: error: implicit declaration of function 'pgprot_writecombine'; did you mean 'dma_free_writecombine'? Message-ID: <20200602115746.GH10863@intel.com> Reply-To: kbuild test robot MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="AhhlLboLdkugWU4S" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --AhhlLboLdkugWU4S Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: f359287765c04711ff54fbd11645271d8e5ff763 commit: b0310c2f09bbe8aebefb97ed67949a3a7092aca6 USB: use genalloc for USB HCs with local memory config: m68k-randconfig-r002-20200602 (attached as .config) compiler: m68k-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 git checkout b0310c2f09bbe8aebefb97ed67949a3a7092aca6 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=m68k If you fix the issue, kindly add following tag as appropriate Reported-by: kbuild test robot All errors (new ones prefixed by >>, old ones prefixed by <<): sound/core/pcm_native.c: In function 'snd_pcm_lib_default_mmap': << from sound/core/pcm_native.c:45: >> sound/core/pcm_native.c:3412:24: error: implicit declaration of function 'pgprot_writecombine'; did you mean 'dma_free_writecombine'? [-Werror=implicit-function-declaration] 3412 | area->vm_page_prot = pgprot_writecombine(area->vm_page_prot); | ^~~~~~~~~~~~~~~~~~~ | dma_free_writecombine sound/core/pcm_native.c:3412:24: error: incompatible types when assigning to type 'pgprot_t' {aka 'struct '} from type 'int' cc1: some warnings being treated as errors # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=b0310c2f09bbe8aebefb97ed67949a3a7092aca6 git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git git remote update linus git checkout b0310c2f09bbe8aebefb97ed67949a3a7092aca6 vim +3412 sound/core/pcm_native.c ^1da177e4c3f41 Linus Torvalds 2005-04-16 3393 ^1da177e4c3f41 Linus Torvalds 2005-04-16 3394 /* ^1da177e4c3f41 Linus Torvalds 2005-04-16 3395 * mmap the DMA buffer on RAM ^1da177e4c3f41 Linus Torvalds 2005-04-16 3396 */ 30b771cf8c3120 Takashi Iwai 2014-10-30 3397 30b771cf8c3120 Takashi Iwai 2014-10-30 3398 /** 30b771cf8c3120 Takashi Iwai 2014-10-30 3399 * snd_pcm_lib_default_mmap - Default PCM data mmap function 30b771cf8c3120 Takashi Iwai 2014-10-30 3400 * @substream: PCM substream 30b771cf8c3120 Takashi Iwai 2014-10-30 3401 * @area: VMA 30b771cf8c3120 Takashi Iwai 2014-10-30 3402 * 30b771cf8c3120 Takashi Iwai 2014-10-30 3403 * This is the default mmap handler for PCM data. When mmap pcm_ops is NULL, 30b771cf8c3120 Takashi Iwai 2014-10-30 3404 * this function is invoked implicitly. 30b771cf8c3120 Takashi Iwai 2014-10-30 3405 */ 18a2b962337047 Takashi Iwai 2011-09-28 3406 int snd_pcm_lib_default_mmap(struct snd_pcm_substream *substream, 877211f5e1b119 Takashi Iwai 2005-11-17 3407 struct vm_area_struct *area) ^1da177e4c3f41 Linus Torvalds 2005-04-16 3408 { 314e51b9851b4f Konstantin Khlebnikov 2012-10-08 3409 area->vm_flags |= VM_DONTEXPAND | VM_DONTDUMP; a5606f85611267 Takashi Iwai 2013-10-24 3410 #ifdef CONFIG_GENERIC_ALLOCATOR 055032142c42d2 Nicolin Chen 2013-10-23 3411 if (substream->dma_buffer.dev.type == SNDRV_DMA_TYPE_DEV_IRAM) { 055032142c42d2 Nicolin Chen 2013-10-23 @3412 area->vm_page_prot = pgprot_writecombine(area->vm_page_prot); 055032142c42d2 Nicolin Chen 2013-10-23 3413 return remap_pfn_range(area, area->vm_start, 055032142c42d2 Nicolin Chen 2013-10-23 3414 substream->dma_buffer.addr >> PAGE_SHIFT, 055032142c42d2 Nicolin Chen 2013-10-23 3415 area->vm_end - area->vm_start, area->vm_page_prot); 055032142c42d2 Nicolin Chen 2013-10-23 3416 } a5606f85611267 Takashi Iwai 2013-10-24 3417 #endif /* CONFIG_GENERIC_ALLOCATOR */ 49d776ffb50f2e Takashi Iwai 2014-10-24 3418 #ifndef CONFIG_X86 /* for avoiding warnings arch/x86/mm/pat.c */ abe594c2cf55b4 Geert Uytterhoeven 2017-07-09 3419 if (IS_ENABLED(CONFIG_HAS_DMA) && !substream->ops->page && 657b1989dacf58 Takashi Iwai 2009-11-26 3420 substream->dma_buffer.dev.type == SNDRV_DMA_TYPE_DEV) 657b1989dacf58 Takashi Iwai 2009-11-26 3421 return dma_mmap_coherent(substream->dma_buffer.dev.dev, 657b1989dacf58 Takashi Iwai 2009-11-26 3422 area, 657b1989dacf58 Takashi Iwai 2009-11-26 3423 substream->runtime->dma_area, 657b1989dacf58 Takashi Iwai 2009-11-26 3424 substream->runtime->dma_addr, 9066ae7ff5d89c Stefan Roese 2018-03-26 3425 substream->runtime->dma_bytes); 49d776ffb50f2e Takashi Iwai 2014-10-24 3426 #endif /* CONFIG_X86 */ 657b1989dacf58 Takashi Iwai 2009-11-26 3427 /* mmap with fault handler */ 657b1989dacf58 Takashi Iwai 2009-11-26 3428 area->vm_ops = &snd_pcm_vm_ops_data_fault; ^1da177e4c3f41 Linus Torvalds 2005-04-16 3429 return 0; ^1da177e4c3f41 Linus Torvalds 2005-04-16 3430 } 18a2b962337047 Takashi Iwai 2011-09-28 3431 EXPORT_SYMBOL_GPL(snd_pcm_lib_default_mmap); ^1da177e4c3f41 Linus Torvalds 2005-04-16 3432 :::::: The code at line 3412 was first introduced by commit :::::: 055032142c42d2821c4aa617915292d6a08d56fc ALSA: Add SoC on-chip internal ram support for DMA buffer allocation :::::: TO: Nicolin Chen :::::: CC: Takashi Iwai --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --AhhlLboLdkugWU4S Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICMfk1V4AAy5jb25maWcAjDxbc9u20u/9FZz0pZ0zSX1J1OR8kwcQBEVUvIUgZdkvHEVW Uk1ty0eS2+bff7sALwC5VNI5Z2LuLoDFYrE3APr5p5899nLaP65Pu8364eGb93X7tD2sT9t7 78vuYft/XpB5aVZ6IpDlGyCOd08v//72OHv/l/fuzdWbi9eHzZW32B6etg8e3z992X19gda7 /dNPP/8E//sZgI/P0NHhvx42ev2A7V9/3Wy8X+ac/+p9eHP95gIIeZaGcl5zXktVA+bjtxYE H/VSFEpm6ccPF9cXFx1tzNJ5h7qwuoiYqplK6nlWZn1HDeKGFWmdsFtf1FUqU1lKFss7ETiE gVTMj8WPEGepKouKl1mheqgsPtU3WbEAiJbCXEv1wTtuTy/P/XT9IluItM7SWiW51RoGqkW6 rFkxr2OZyPLj9RXKsh0yySUwVwpVeruj97Q/Ycdt6zjjLG7F8uoVBa5ZZUvGr2Qc1IrFpUUf iJBVcVlHmSpTloiPr3552j9tf+0I1K1aytxaqQaA//IyBnjHcZ4puaqTT5WohM1xR1ApEUuf RLEKVM/GaIGCgL3jy+fjt+Np+9gLdC5SUUiu5a+i7MZSIwvDI5m7axVkCZOpC1MysedgdxAI v5qHyuV3+3Tv7b8MOGs7zAshkrys0ywVrVLwvPqtXB//8k67x623hubH0/p09Nabzf7l6bR7 +tpPrJR8UUODmnGeVWkp07nNnK8CGCLjQimkKElJlkwtVMlKRWJzJcn5/ACXejYFrzw1XhHg 9LYGnM0tfNZilYuCUl9liO3mAxBOo+uy4dIdvVvGhfnDWthFtyAZt3mSi0iwALaHxpDbCjdK CGolw/Lj1UW/sjItF7B7QjGgubzujMS8yKrcsg85m4taL6QoemgiEj4ffNYL+McyN7qnWvHI NkIhk0VNYnioap+lwY0MyshZg9JuQGpEM1YuA0XIo8EWQcJG7IWg7Xf2zBp4IJaSC5uNBgFK Nqm2DYmfh+fQektS6pThxmloWMnswdGsqZzBrqF7jgRf5Bksb12Aqc0KQfWP4tP2VI9hdw92 EKQfCNj7nJUTQi5EzG6Jfv14geLSvqAIXN9QsAQ6VllVgDB7i10E9fxOOiwAyAfQFT10UMd3 CSMGB8zqrh9TE2aDfuO7t7TUeJ3lJTitO1GHWVHDNod/EpZySnxDagV/OB7FeJLmO2JLcMQy uJxZzisP+w9jVfrvAW0CDk2Cr7E0U81FmYBF0WOxOB4vYIMgJ2sYpEjanRnB5outKRlXCDMW drxgjIjtkS07IOIQbEVhdeIzBeKqYks0YVWK1eATtq7VS57Z9ErOUxaHlmZpnmyAWIq01IDe GcuMlIPM6gqmQG1AFiwlcNuISNm9gWXzWVFIURDtFkh9m1hCaiE1syfSQbVQcDuVcikc/aDW FoYWQeBuynYx+OXF29ZJN7Ftvj182R8e10+brSf+3j6BA2TgeTi6wO3hqEkbV/SDLXpWlokR desQSGsLMR8rIWC0lETFzHfUNa7oEErF2RSC+bAKBTijJtybJkObHksFthA0OksoUxhVYQhx qXZuIG4IOMFoOguesFxjbtxwmursVpUi0SYbY3wZSugNI1prz2ShjNtAqBG+G2h3+3723pIb hlE+qkAaSGZ12EZ40Y2Q86gcI0CHpF+AKQdpgdUmCFSVuBuqxrmC9+ihaQa7Jc/A/4IwHLDj Se8gUHQh0d3Hyz77yeelzlBiUB3YVde2kCtyFRdiJZzARitt/rA+oZ52qYmBHvab7fG4P3jl t+dtH82hICHvUko6wRPP4iCUpH+EFhcXF5YJnr2/vnrvfIu7IWTZQAa8qOftZvdlt/GyZ0wx jz1faRYI1YRd1/Y6Y8YHovVlGUoRB8rVggYLbiGQy9lbElmBmQRbqYMqzU+y3vy5e9pqyVgs QEqWWTqjP6/77xXPNAhNu2MEKw6JBrWdKh4Aou8hKGBfpVcWACTOS7S9EDtB5D9IIGNu2XIw tVlxi5ooCrCOF+5URvKs/ExPpuPyLWYOfKFG+gOxiLcZJP5tkMAStMl9ag4A7d8v/n17gf+1 8KXA9NmlXYgiFbGBIXkzWjY9WmbJCj4GQ2cJjOJ8w4QgVDCdW1DD4KXDIDBu+HFioKwBEmsn FcPNWzPtgTvrNNhstoMJt+vTy0ErlNH6/T/bgwfuY/11+wjew9t3a9SnbIm70dtRppo6pYj1 Adb+tN3gqK/vt8/Q2B2m9d8Fj+rrK9hBdRaGtaXiGnPDwHFh1p+zAvxvW3cYVl209oDFLvVS t2mwHdYlWWB6VLngaO4t5c2CKob9DZGbDobQyZ/FDrrW3QIXUQ/PsOAh56qC0dLgeoRg3HU2 s7coALTodulH+2QjGxelRwTjwbNIFOjaURkSx+C3JE1lwLU9ABchyEBi2zB0DEYhQh0o6ACQ rv8s7IBCdUUoni1ff14ft/feX0bpng/7L7sHp9CARHWn7DZQR/Fl/bb+3XG4ZzrtbGFczWWq K0mcf3z19T//eTX22N/Rx24rgt/E2NZ2qTryUwlGeBcDrXCiDw3CeXD0y4xOyBqqKj1H0ag5 nTc2PaiCd+W2ifShpZTzc2jUMzDc9GBlIRNgFpQ/qBcYB5NUPioFFZyr9NJ2GxBOATs5LBbO H/RIFp9G+EKwoMGfw5FtbwpZiqnGNtJt3RcUtCaLf7ebl9P688NWV6k9HWifLKPlyzRMSkjO C5k7fqxBhJAlUEm3wSZScXubFyKoktzW+ikGjFfdPu4P38C5Era7nQ+M79R1EKCjGPTUbmSo 8hjsS15qqYBxUB8/6P867ylhT5QQ41ROlAlhYN2E2EZJxEoHCZcdiQCVgXRZG5yFXWOKBWTr jEdOpeYuzzLK3Nz5lRVnQH/YnS4zWvYD6zci5VHCdALTyXFaVD2XlmmED5jTvHCCHbXwYW6l SPWObFUk3Z7+2R/+AjNEek7wRoLSAEhLrCwav0CJkgEE0gan+lrGVMq2CgurIX6BHZhnA5Bb jdAgiUlgyLgYwFXl15DES347QCRyjlmJzZJpAKsAGZvkU+yh487skwcU8ELcOkUyA2oHIc3L Ksh1oU2U1EjSrGFfLMhNIYYz8vwC0CxYYr0ogBirciqkgAulj/osOh0b9Zvj2QgmR7QtBDLd bUPMyug8GRhxP1NUbgMkeZo73MF3HUQ8H/CFYAyp86mhkKBgRU6MopU+d+t6BgYbATLRpFpN tqrLKnU8ubpNwaBlC+mkpJp2WUoXVAXj9ggPs2rIC4D60aZ0oGZOBVqDhKKmLA1Hrm5qoNba IVMaQwKbnerQ8ZwC42SH+1ojCnajEfTKtYPAOqiyyKhKLg4If847rbYqBC3Kt8PdDsorGn4D Y91kmVOZ65AR/HWOiwiCsJzoNLr17ai6gy/FnCkCni7J4bHQhnvvHAsxNT4ErBkBvhUsIsAy hoghkxRjAacnyIM5JXnfqVC1p54geGIGLbZdmFEzLURSU1oKLc7vUKR0kbUlaJf/LJGWwlkK kMdZPEjmLL4Y8DlAtxL++Grz8nm3eWVLPgneKedULl/OXIu5nDW2H/OjkLS9QGKODtDD1QEL 3B09I8zNbGhvBlhjcqZGS2Q+c3kGNWTDUTs75M4GrOtUv0qWg24BUs+cUx+EpgHEpTpILG9z MUCOzB8CB5bazOKHXCQS6gWYxisxn9XxjRn4O2QQ+FH7CQSGtySAhjeRoeVT8jKvTa0xvHUw ukke3eqcG6KAJDdF4J4ilLEJG2wnZYCdFR5Vsvj+sMWwEQL60/Ywus0y6mgUiPYo+AvM0+IM Co+KLTQe8KRpWTA7KwIoHiiDSia6FNFPxiCgq0AsScnbHbbS/T4hnnwPbzVQdGDgaS/vUIVl Ts8QUjs+mE6Pg0n5MlN1+t3+1SAkAlzZipdum7LS4Qi+R1wizPDnwpQc00FeqEuwI0TC1KdK FCwQDsrsuAHTBgiLRMXCPX4YRPeYsRp0JCCPKpmL1OYCDP+gI0yHsxus7g1LHnaj7rKC0xL0 cEJfSnNzaaI7lJDLlRbmsPuU0SdSiDtjeBCd+X8MPIeD/lRlJXX0bVj5Y7CqLYxYhrKpA070 1ZQdnQYYxE6QmyzKHbqEfbm6dTRJL5g5AJJuhmzjKPuz6pRQG72VLmIcvc3+8fPuaXvvPe7v Xx7scw27ad1YaafpaX34uj1NtShZMRflwNzZBO6mJJqmeECff4cmNAMQ9r4narcr7YhG5OQm Jugo5zUigqgnUSOpP65Pmz/PCLvkEfiroHD9PUFkew9aBobOlA++JwBDi/m1sIs1Zx2kk83S xgwQy2HCvlQ6SphKi5dq8mKPwYI24+Ge+nh51VwMzJfKOx3WT8fn/eGExejTfrN/8B7263vv 8/ph/bTBmtDx5Rnxdk3IdIhnFFlN51A2BeSLTuLfIViEQSaNMwhyRDZZhehIFHfrB/18j6BF uG0PvSaZhkUxHu+moK5bGFzMCfqYCt0MLsyGE82W4RAU+zGnYMUQGERDiGs7DSw5JylFXiYw uPRTu/+00FQ0LTcV9Zr13mqTnGmTmDYyDcTKVcf18/PDbqP3iffn9uF53DYN+bBEhsuORwPU kv/3B+LUEDOxguko/K3jIIyPGcONnyHgTQQygPc+0SAcFxdUuYZP+l8s450haAedKIm5HnA0 Pjm8GzxDx6NIezRzd4L92gBK5uNozmCMHaW1cBiEGtAZh2MIEpbOYzEeqmA39B3kMxrSqNDf sx9Tol5ZZhPKMptQltmUsgwQzVrNhirUaMjsR9bf5cHqkVrLGbXwTmY/G6ywizDuEduYK8Mj gi79dMFdGOJGl12vzRq7YFhi2wefXzhy87t3JUes1QHnwyorgtpqqNYXBHicy+A4UhVbJXU7 JLsau22S7ppU38nRel6aWxPRevOXc3zddq6HtwVHtbIaoW/thYBfdeDPMYngqWOZDaotoelK uq5uYE2Lvjw31UBF7JK8UDxB796Z0GSD8Ud8/sBwer3NmIPqdxFMnDjLnAoIWGmddsFHzWM3 QW9h+gYcT+g6HBLFLKXKx4jyi6vZ+7fuOAYGiziu+sRXJeU+lL3Wc+MJ+hPiQgZzanx9lUTv DmUV/XqAcyACINjv8/r9xdXlp4njmZbGL3jSV3kmCKYxWCHFSyw0xVzdyJxGUfPQCDGJScoF jViou7NTAPwk4sPb33+nkZ/4BB+gIh+uL66npK7+YJeXF+++I3dImGRsG8MldGtWjILV86Wr KRYqWZJxSiC4k52b79GpZuyG3fB5Reo/i538Dp8HsDyPBSKoE96rd9YYLHcuC+cRmBMqS5uB Y82ZU29sQNSzpwFFGlmRvgXUx2M0Bt1UItIJbJTlFCeImogNbJIk82Usy9upLnAh6FvrNpWT 6rWIOSAE5MpRUDRMEgSTLdH+2Y6Z6pUWmU2BoqOmZtOMivit3RdCoO6+c0LnHlqncfOHflMh cYkYedWxb9IVr6j+GuaoK8KMjzkxbmnqaVLAfWq7pQpvuGb4zNEKesBJgFBY4BxY9tD2T6qE alPFbKJ9QN8l6glSTnFTJ3gBYqpP6oXhBNn3iPQzFoLDDLzGEtwDRLM2Fxa4Xq5id8l64zd9 36M94nBP2ZM8Hlw5QAj4p8ylaTflAArROHEVIbXvdEaqcLFmEmAmXXB8jakW1roMytG5lA/f QTbI5g2ZPpkqJHXyaVGYc6uBSy5WeEfrtnYf4vif4o/unSXvtD26rz/1oIvSVPK7kHZEPkDY d5/6ICaBBFNm7ZA5hMLbk1es73f7rlhm3/41TqSPz+AbFD5h+ChkSRkW4HVwFVt1L17Z6s3V O++p4ft++/dus/XuD7u/zROadr0X0j5Wm+XOqZiffxJl5G7wWwg9agULGgYrd0N1mCigbsnc ssSW6Fn+umV2nSN8jvNwC+fzZBI3d5qZZAr2W2AGDoaCwSZLbj9Z0ZAVwZGK+cTG5dqR08eG vHXyzUtN+oUzwWK3FJbH8vG5kgicgBxgRYhxImUwgT4V+YAcQWApiarKiMpUSSfLL0DGEzvy B0Akg+GAEWXSAG7n5vDZh0k2SaAGvSkRh8N3+jaesPNaDfyHl+1pvz/9OblL/FJfFIxdgduJ Anw7ATROjku/rJRPAvUr1uZG/FAoLcmUNts0RUnFCS2FMtbHgVasKCkY7lzHfFuo6C0J9rka rWiDYmV0TcXJFkkck51e38hCTPSqF+F8r8NVaeFmdUhW57MVZa8skqRYjpiFga4urlfE4uXs 8mK6Qz8kdCIo40tKDa75OQ2IK8FZQRXhDcES/u+M1MzD7gdBNerJ1EBnVhIy1EbDnB7LBQqN NGeTW63zgSG47iJ3crQWNpWF9PhUlx3jTCmy/dTxVrFa2DeagH5ha5EqC8ES8+jGcoVYMy0q p2iJqhs791RaCOYIFhQzBveZsQY1P5Rgg1R+OyKS1i7l4RwDekd7TDpxqX+0JMkC+l5R2xDd j4gzvJyOv8AC0SD5Jral5qIouweidZbaF+E7okJ8qmDi+uEz3iwW88AnyPAVkXn+Ykjw7jPV Hcy6YD0J3l149YqYCVAAf3FcxQyCEDAWE781YNPj+6aVLpNRfswSkikS5o5mWejpFKIXXRFA KFfl+CD13Fg3jq44YEwQM9t+x9Jvl38AgeFuc7zAmE/iOE+mkeVCUsi22NvGjyafdNSvhdUF rxOJP9lDGm2brBEvLqt2yWr/uPX+2R22D9vjsTUS3mH7vxeAeWsPfzUJHyeeDvsHb/3wdX/Y nf60fgml6zsRdtbSgYfRQ4c4t5B2pwrfXeMtgEFJY6JHaJJW52SgSqavrwBkZX6Y4aLv60YC lBylCBeSfJiGWcyHQS3yQ67fr9ghQQMeLCpnMnS/rBq/DZ28DqWxjp/jIo9Qi8YQrKmW5e14 hBaPZsIuN5CHVINbbvizUnM5qKI4+JTTuSfiIhfXJIzrgxfutg/4uwKPjy9P7SnzL9Di18af OQ9fsKc8fXd9jZKYHMtQyCtOOswfHLWVQ64YZPBO+KSv94dU9tjeJ3XqoQ1s+BMwDTpQYDWa 10oNCBJxbXQHBQfQC/daZshknC37d2VTiVfOMabp2+U84ZINv/WbwprL7ppPzl9v1od77/Nh d/+1f9qrXzzuNs0w1uPrbsaVeb4ZiTgnVQsmUiZ5aE2vhdQJ3tOzpQe7OA1YnJFnKqDmeqRQ Fgl4WmF+CqzlP9wdHv9Zg3HDyzP2pYXwRs/VjjyMP2z7sX6VpqPVT52aOdkMkgSwNHHsM74g NXDImBVX6R+XwMp4+2yPrh+aJBeilomcssuCi4kr0oYAo5mmGzAFSbak4xpNxtRtyltiiKp8 akG6X5LIqzYHt0opYu7chDPfuE9HMGX/9EsHS8bAm8sRKElsc9wOYj/HxNfMKoJ1DvDnrkJ3 PREZipQbXyTIBZzYAib1fTk6lqsN0y1wZ64zsAvc/MhIp9EZN6+fHWc6TxUVQialk+nCp16r CdKaJ4F+qApht9s9Ilnxu0GMzHS+Ppx22kI+rw/H9udirKYgSHwdNm7ev+kfdaH7qOBPLzFX NvXPy5R48+3BmON4/Y0YK8vyiVACkMiAxCgaVtbUSEeTKVjyW5Elv4UP6+P/c3YtTW7juvqv 9OrUzCI1kvySF7OgJdlWWq+Isq3ujaonydykTk+SSnruyfn3FyApmaBA99Rd5GF84JsiQRAA P929//T5G6PBw77aW5MNCW+zNEvUvKd0mPLDSCaVgRyU/hq9PGrWHhy5cHLuRHU/qBBnQ0gz d9DoJrqkKJafhwwt4mqq9ACwCvqmDjamhL0qnWcIS7SYU09dXlBqK0qHUDsEsZOZWf7HwHj+ 4TIhQL59Q0XxKM/++fW75np6j1FXnDGtcSfvsd/Q52L2CTTHBwmYpwumXZOm0XunqOrqATYv 3zCfEvjyTv0sdSEwHBr7zbzWNC3Vf3z+8w1K7U/K/Bny9OuloTyMR7QvSCgJQjY+7Cpi0YNb 2SuXzxNUTcpo1cSBb7YnxyZa3EerNa2AlF20KtwCZTHrGzJaDmqX06XubIPfQ1eD+KrPAstg u3bQrFWBGBANI2M2mX7+8e839Zc3CXb8TL6i3VMnB94g6PVBsutegcDjaDLUwldliLBEM2B6 9NxeHHnM3uzpsZGr7hpfBlGPC93B3+uKK0uSQV7wpqak12A8wyDLxF0mLoNpKamGnXiXHOcr +9N/foPd5en5+ePzHTLf/akXDX2mfWaGTPdL49HUTRz4lWL4kFmR5ecf7+kHpvjxLx1+1UXS XN7XlQngOi/oCusthfX2+geJUuXZFdxi3e26cbbYX1yTj32vGlg0kNfdv/S/EZwIyru/dMyD D/xHoBNwH8HrWc0qYgtGFlGdXpfKMcyELb6eFoCj7O6HdyeRwv99i/HO2duBMFyKoTtCvx1r OEE4q4Ni2GU7E804CmijEd2DuOHfO5DjUJyyXW7Xtub9e0CKcfVZ+rh8LrM7aVn+jwdamz7N S0sIHTsnqyT0FzRCLopzENHQiOkqWvVD2tT8ZQ+cRcoHFKN5o8hEbheRXAYhC4M4XdTyhOrL rJ3dzI01aFK5jYNI0CiLuSyibRAs+HIVGHHbzdjaDlhWKyuE2wjsjuFmw9BVPbaBFUfjWCbr xcoOXSbDdUzEKLw4MkYHeym2S3YHhGWkg8bDItYsBk0jk9ezsqLbLAjWVoWSyKgsdTiZrMHA YlefkLHXFX0QXURMU65kzsLMoEV2EMkDk6wU/Tre8LaihmW7SHreJWZi6Psld+1gcJBmh3h7 bDLZMzXIsjAIluwa4/SE6p3u48+nH3f5lx8v3//+S8Wx/PEJzt4fLC+bZwwi9wG+mc/f8L/2 mtaheMuW9f/I1xpq61Mc+IWKsOgzsqUmgKONQMG7KWbLRP7lBTbAEnb6f919//isguFf54bD gsdSLc+MmEzyPUM+1w2lmqoA3YTucXI+fv3x4uRxBRPUKzHlevm/fruGUXxBTbUVc+eXpJbl r5ZYNlWYqez1IzpjQK+hdSJw3uq9aZomR9vqZ/w+jXb2KsDbq/C0lqAZbp5ONiUSDXaMNDj7 ghHEMFp2rlwCS0s407qUuRMXxYnFW1cpkdPUQk8+O9hMMcwpqyRG38BMOOa9SMFqZ/hCgEhd OzHK0tanKgW5Jeds6xxWFbrVVxbGvDtnqHQ7NT4e1NTtRIEyFbnCQFtYSugEcYJTxrLFQro0 8pukUbZnRIcD8jdrcnRwRG6RyIy/pIbGwP9kzccnOVm10VW5LmOnajirwW9rCWsKr+c7ZzSY 0EhWNxxOKKuC2EqLNnE8izVlCCOPSDDiweom7jNNMnDCSlwjWJfb4OdPplYGYc3gxoJz2Ifc BmLCKAB5wwsMCb0n70qjMp2r1fBCx9osZud1deHTUetfRTvK+VUKnFNfvn/+429cruR/Pr+8 /3QnrIiEjP3Nipifw08lPN/QKSNLmcJEmPPYHKiU0hzWIoO5t2LHA2gk4151SIFmJ4PcR+7K gVBR175QUwoWVZe/8/kOlN1mtQgY+jmOs3Ww5qAcvht1bLrlKEC4jFfArOozJs/2T2vV972v wgDB0aKGVY3tqitT41HajJyvex28S0TMOFC0GcojcB4r8zkoS9gdb/g72Lh7ZXeLtRytZEYH qX/4AUx7OBphVm50vnMGO0w7LJKaPJ5ilHyLZLXhPT6vDPHW0wKTNWw+CZ67kyNbsijFozu3 Jihl6lSVScGapdspYQeHL0Lw2ZJoIRb91NYtnyQRaUZ2UIKd81PJQ3BmySuiQU15Jw4rUfZI n7uxoP3pbd7JE9Mp+/L8Nox9ceVM8uNJXLKczTmP4Szc8xA1WrSQUrTnjEbpL89lym4ydjJI I6qaqoaLXl6UoMYrpop+f3klV1hm6DX0vYxjz16rIcjWZ/ZgZVq7yiuYCVH8dh2wOQPYR0tA ueOwm7PMSqIegc89Geokw7Dj+mx9O5NKdCYLBkOz7qou+Ulb8YnixTZgZpfonVnrMjTJq9Ma ZWrcR+zs2/LVZC3IkFJItrYtejS0LCRFKU9OkKkJy7J3PFAXot0XouX7DFdjpnNkmWzDZMs/ 2YJptmH4yocp6wSv8Hp+bZadmiw89lDVjXzg++fsWQAv+aMju2rKcFmFAT+tJ4bFaxO7z1t+ L0EgatjrIiVjjU8N2UQSIldTEoyenMORwQXybieI+h2pqOp2SOojgzOitWQ3xwdqZ6IIlpmR vADFblORpRjU9HBA04Djw0w6hfzvkD67mrrOjD0ryJfqUs6Sts1ONjgVEPgqjVPyJILHwaKn 2UC3bZRIRHMBcrzpfRlhXytPlrE3runUKbcu3YRXsT2HLVN48jXbIq1hCtuoydEiNvEijqI5 sUviMGR4lzFDXG8ocZ/3mdPNedIUJ+nQcOMb+ot4oPRC5iBMhUEYJg7Qd24Hmy3S208jHgYH T2fpfY0WdBWpPeQuZBDcKtz6VcoEV/gr+G5MxZk8GzGYFGUWbIcIK/W8vkq8dSokuywMel5u RxUgzMc8kZ4KnUHMlDKjpfT45gycGOCTjNqDVg5d+1/3LsgD2+2KfVqracjmDz/x8T5P2ElE 0wxjg9svSDXNLMIE0sqmydysVbBHT0A8wGvttG8nqXmJCTNTBkxeVFk3wWmb08QWtgAqC9tJ GLEpwr0dG1cBsiSeIYqm9FD4P+sKHG8P1ClHqwookIguoZR7EFzpc3hIbTA0K2uAYLxa4tC+ BrkSI0oEaXQT29IvEuEPOSyNNRZ9HIeb3gdsh3ATizmapInjBWchQ2aHlreBKindViOkJfmR w9MBYx7lLmdyT8vtOgjndNluN0HA0mOWDh/xZuX23ohsWeRQrKOA6aQKl9U44FqMyzNv/zpy lIncxAtOOhk5WgzIql614DtbnnYyw4dcaSy+OQvFRJEP5Wq9cGaVqKJNNGvLLivuWcWvStKW M6MZpGeNrKsojmNvB9wnUbi91fZHON2eJNOoPo4WYTDoz8sB70VR5sw4vYMt4XKhyt4Rg11z FfZc5BLkyJvjrCSZZ20rhtnXdi7W3IRLjtuIo4t3SWj7MFyIsnryoblQo33kmhQAaQnbGS// 2myeAPSUp2T9FWyeUYiiglVS7p3Yu2wBSS4T3ojD5vL5urk8rbRN1/ALodp0TZmshZkcDUdi TTFY7cps9htdjyRps6Erk3A0Lq4r9Q4G27i6zas6qV1j+HFbWy1nukqkjddUFonXQSLiunXY fWXEtVd6tMzSHCQA6zxRdhtYbE+UMDN5ApIp3CYRDwik/Awi6gQxEhnOWXdoMlEhKVLEeZbY jWoFPSIRTAuC5GiPG228YQcRsAHt87mdG9PBQeXk5oW0ASPaSu/DrN2FLpBcRaVtUA1y/Dbs KcH47lAidYFFijOjkJTUGe9fY1eAfUDDZrDfdLgUYbQK3d/UVHykkRoi0d534XdMf5upZ9UR KX4fzosSSie7MGUZ+UpLHh9SQR/Og4X6MfXejyEUhi2n5rOzVefhrKJaVaNiaMUD+3SKgS/F YmWLPJPj1PEiORFJywsX51ZTPd9zyffzK6nsi3pg6PIZPa1+mQd1+PXu5Stwf7x7+TRyzW6p nF31mLLBPIFqzQH8hWYqv8fTSVQ0O0fcxDgQcCCwjrfXUC8zKdzC9uI+K8hkt0DRxet2H7FS l8VWAs/y7TJgC0iSaBXxkKCu7zaS7jfRMmKxMmmJdGlBzkBr6wGXZHsZjVnIlAwL/h7yJf+S IECJsL9R/KV9K2Z5KAj/ohZd5roU9qhPT98/KM8ZRoWkEoszbzCssk/b83DI4ZTkUd+WyMXY 03z7+8VropFXzcmOhog/nX1L0/Z7fBurcB66RAQDqpAwAZoslXf0PXGZ0UgpujbvDTI5Ujzj 4/af8XXeP58ctzmTrMZn1jyxMzTL2/rhNkN25r0TR1Q7HFr95vNJ0wnus4ddrX3TrrcRhgaz mhf8LIZmtfIcAxwm7lbuytLd7/gqvIMT2IrXAROezas8Uei5Ipl4UhN1qF3HvHndxFncQ31v s3iNmgmHmnoeAWJi7BKxXoa8QZ/NFC/DV4ZCz9tX2lbGi4g39iQ8i1d4YAPYLFbbV5gS3pfo ytC0sA3f5qmyS1fzwWomHgxKhSLFK8XJrr6Ii+B1j1euU/Xq+HdlNHT1KTkC5RXOS7EMFq/M zb7zlWgtLd5lAVYVfOTGEpdHyiAqQWLrX4FFylFToq+c6Em9azkJbGI47KN7NuWhzTnVJcEH 26f/ipxy+HhK+9XkCVOnSJFwkMzT7IJRtlsG7Mo04bJTj356AXrUccFoEbEtv+Db9TVnxzOx lOKgbqe5ZjSwgdftjs1agTvBHg2vTBgmjfpeXvvhkqdv2efIJpbHY1YdT4KbJBLk2pABcHcb X8J0sb7xPJc6cTQSedyjMsPXt2zEefUpqJjM5LJRU7TCK8kSTy1srrxx9DJznkOX2K+RXYGj qC7kXtDC7nfwg0WMapmptsxafKHzIuBkzZvGmHbjWiSTNss4bZ9ZRMi7pZoWx00ZB/1QV867 jhoW6SZcctfJBm7zx7rCMBAN3pO4me9KQVTiRohZ9MGwO3UdfbXI1FGWcOSBxaZjvxzDtI7v h12WMYJbv9mstwtToRmchItNvBiaSzuVTxlK2GVXwbxahybi320bYbwShgp5TPssrjRL6pSP /35lUj3gVk50uXIi77LIhTAITYOB5hQ8Q/vu7XbeJkU2EsrgxtxxBOhLho87z3J+yEY1jZN3 UoYBJxJqtM0OpwJH2DNObdad/INkNtTXGcZedOp2Uv/cGKdGFCVeKY75+/sl2cerzdItv7mU ZjJwCDu2atTbuhPtA9r01CldtzVTKrbBKtKfqrdOyLReTN8zwS4g14X4rc+mVtoXi2XvIdMI AhQi2iEN5SX0XXJyyUkpFkEwWw0MmSsDjpPRGtYmz+qi4PXKgt3+UgybkcE/HdFlQDbchGrL fDm42itF5E0pFaT7hLLLktMgK2gfLJwCgaIW/tqhR6nxWnH5aTAjQ+NNhDTIqlAMtJzntSIH JnX6PI6agvy3+g6P7MQRjtRd/cS/aRwoTS7yXSMjl6qfNSAk45PDMAMJL7JnCdrEcF+v+xWg T2aSC6J9cqp+EGVGaz1ShkrCsZehF7r/jNks101XVxhG8aHVCp+evj+9xwccZk6GjsH62fdK 9TYems621NIeZ16ifsHt92i1pt0FwkdVVzpKDBu3rxoO0tJoKcXTLIS5pkr66OGpKExzxtqo FywxzCT6kdjNTLNzmfGaJ4DuHcx47n///PQ8V3maRmWiLR4S+1s3QBxRAcAiQ1lNCyJkl6U3 ok7YCfZ4ULlny0AHRfQ08YDSV4cyq0CQ4VYTm6tqh5OKQrLk0BaGOi+zWyzqyfQ0S73VEBWG Kp4FJGFYVSgYr2sr7d9OPcLyD1hbyQtkJDvet4Vk00UxNWTWrsBfv7xBHChqFikPEuZRMJMV yJ2LkDVVJAz9bKxxAAriJe4A3lkyMUwjHToc9L7PInrzlElS9Y2HfCNVuM7lpu+ZqTJh82hh Pkaft6ZiM5vA204caFBYHvfW2cM37B4aYSuQKfutInXQVaFiHc4/KZtpJ05pi8J0GK6iILjB 6a09fSD1Sh1T3OhAYIIZo2sZzicyLC6P4cLRj05hNsiK6uSMQbV2J27ZUuG2ulYt9p5AkoDg TX1lvx9ypcE2dc6K362dybjM+ZubN2WOh/G0oM8ZoXUhHD3UjaJLF1VuYkOxiOwmX1Yb1JbE WiO1dwJa2Xz2XbAmyHzvkC74dFRaH9zy8fxV7/d22ceLcdecrV36+vHuPSNDXEfmoUqUOpwV i/G2HF8HWGp53boBGulLdq1L2ogcIhoruOw1VJWvetO4J/CnITYbipRLr25oxGGRmdvCsFw5 UKqMPdvZbNXpXJMDAYJnqN3gPLo61bBbLB6baOlHXF/zGT5r5BhXfd5j6hoIFtb5rRk5TUFD lJoZGl1Tsn6b1qHBdk2vy4BYKjMxbWz+9/PL52/PH39CTbBwFbqHqwEmckziR2rRJctFsJ4D TSK2qyU5zlDoJ/d9GY42O8xzLIs+aQri4n2zBbRgE24QZVJPwXCys9zzITcxxnb9QXtDFId6 l3du05DcJOwb9hMq7No7ZUzlTkcNDCPgBiTASfLfHy8f/7r74+9rdNpf/vr64+X5v3cf//rj 44cPHz/c/Wa43oD8g7GwfiW3nDg5oLH+yy/kSDMMoayiRXJxfSxOMzVIanU203GLdWhsXg0I nPdZqYfVotXqDojSoPemilBE5iWIm5SmzbfH4cx+wuf2BfY8gH6DgYaue/rw9E19g7MLV2x7 XqPtyIl+4aoWOuYMHHcPR/bx2wifG9rV3f70+DjUdGsArBO1hL3JaUGXgxBOjRaAes5hyo7X vqod9csnPdVNI6w5YAe68c4i2hbZnXjbWAW67344kwPDYnod764sOO9fYdmd+FiI9oI4dcvC GucEI/MCxYQwvALphSUTHZdy4qaxh1VQpHkaNEcYBwDX9PLph3mS0YTLml/aYyotABIxCql9 rv7NqkPOhmpFcOaUJJW5h+NMqlswfqQO/eKE91QhoUD43xdZ7+i1EHJXAguq9fSkWY2eGZQK wn+cy3UQOeR8n58zt8iyzznNG0K96/GniOqLnqsHYESa8fVnPTTOQMAf5wEgpKJrPMbAGLzP diBXV2TrqGeFJMwZvxGnrUga8FDuFqgR+QDzC58BrLq25q79TPTWq3woWYtTGgwefnpfGKi6 xrBrqbKRd++fP+tAPPODMOYEEiUGC77HVnCrtsWjND1uTQzmzqmp+P/BqLBPL1+/z7Y3dL1/ //z1/b/ZqkFDwlUcQ/61J2DwPP1U57zCo8t1sICgZSGLAf5nKQJNiN4rYKmqcN0yWbJzx2Do mMd1oEHLpIkWMohpLRCRfbgK+jm9xADKYk5P5HJTxCsPsLW09TgqxAzYEFRgNpAhjyZ22yqM XI68fec6Neue8KweSgZQr5LR0saudajKEiW4iqc66N1fT9++gUCjipjt1fom7qLfPGRKsAWG qc66sF28lhvuRlTDWfUYRhsnV5nXvUNCz8u9eVhtlEr9FZ9kOEX9+PPb05cPjnWeznVusDXv qYDrv8itoKGawM60GCWJL7ydoK/F+lmyrsmTKA4D767ttE4P5z59tdX6FtpXHX1t5jTPlR4V sWjizWLeEfTT0U1UV4SzFrbJqlvFC19NukauV0G8ZnoGgHjt7VGFb8OAT7gNuasMjb8re668 uU2SDet7QqfJSDSa8XHCzodm2lpnQ+bMrUWobeGdr0tNUM6bR8PJYhHH7vxtclnbT/spYt+K cGkioozqq3m1tG2n3N2uLpGnp+yYZLSyNQ2UdSGH2kuIe/lsmwvf4AsiSvaeySSQZHyXUEZL e22mCA2caGPhhTuKXTmmA5lpIlMbu5by+el/qVoJsjKCDHrZsDvcxCJ9FzoTBzYm4E01KQ/r h2FzhAunS6zEXJxEwhEtSE9PQBysvLkueJtGysOtE5Qj9hWwYeNfUo7QU+0sWPqyjbNww67O dMQnYQH1koM4U5lSEeEYzsba0Ci+KFQ8zFNp+o1nSxv08kdWFh13b5Em+MApTGnOTsJYQbiB 7AxZ5U76R617N0pVrzf4YVSnYdwG3JuDNbe2maqqUVuTNd5G2BEnDKE3Kbc/jAxyZ79fZSpL iKWoxIw4Jt+9izYkepYDUFWkCx7Td34w7YYTDDj071CdS7ZxsLWz25jNYO/9Y/uATizTLH6W DhtTuAmW7OAY7FYfK5bI3lLHiuSywcREy24gSBRvPXF5Rx7/Rj5yoEwTbbj8PdL3tXg16lzK olusV9xMtqqu7PD+j7Era44bR9J/RU8Tuw8dQ4L3bPQDi0cVW7zMo4rSS4VaLrcVK1sO2Z6d /veLBEgWjgTLDz4qv8RBHIkEkMjUv5d9VBTqAO101/aQFmKAuNqJAPECHAgcDwW8EMuqr3aO izYSV9nQt85L5+7jcZ/BiTaJXHQKdoNnocJ+KaQbItcT6ns4SY8o2U+qhUh38Zw4n6cdZBtr foX99INuHjD7h9kNcxo4tnBPIdBdWxqQEoI/QbiyVLZlMOiXeTA/eDKHj9UNgAivHIUMy67A ExH86mrlGILJxpxWU8CxLbzkgbbLrVxd2UZLgnxMdkgcgblkg6/oladPAp9gk/XK0WaSZ42F PkwtWue09zc9goP3boKn5BaMpodHC1se2FS5wp23izwhyXE14crkOYGHG+lwjsUkOBbfBazJ B6oWjwOsQNjX7EvPDntciRV4iNVjavfKQdf8GM0+2BwXh+Lg2w4yVItdFWcVliNF2gzbZK4M dN+yCB899SA/sFbgPxKX6JWhelFnE4JUEyIl0QUGK4nL0u1xzXhQuSxw0BUFHYcAEXtLBDEO QoyJ3ZuJfeybGWDrACgIkjsJEfAt38MqwjAbM7OWOPzQlDja6k+2SQ8I0qfgop5PcAxwIgOA DQ8GqPZ2AvQLNYyQdq6S1rFwETQkvuduZZrVObF3VaKuwlehm0wT0rWV72BULAICpeK8HkoN UCraq2WFbhMEGC04RMcXpW81f1lhTU+pSD9TKlpw5BEH0UEY4OJTl0HbsqFNwsDxtxoCOFyC NGw9JPzwouiluHErngx0QiHfAkCAdSAF6N4NaRMAIgvVtOqWOdC78ZF56EXYwt5WkiPDNQFO BsWJYBWnq8U5yfMWXfuKzvHIDUWP8oSWvzXZir70Q7oA4x1N6H4ZO52RlgDDPODQ9aXJrbXE Ce3tMTUL4k3REU/ECjxcMFJJhc8ywFx3UyuFTZMfoh9K9ycu3Xsa3IFemTzHD/DHugvTmKSR ZfDHKfIQg50r53gsfdtCxEJ/GGz08ymwqZ1S3PmPIWGylTCtMjtwkCmeUZ3PlZ1lCxCxLWyr JnD4J2Khogk8kLlBtfk1MwsmIzm2cyKkzn1y8Pxp0vzrSDgmzxjgIFupfhj6ANeO+qqii/KN nVRikzANb24He9va1LMoRxCSEBNLFAiQuRTTHgjxtb2oY2Jtj3JgmTZV4Dp2iEl1CLam/3Co EiwO0lC1Nib/GR1ZSRgdaRFKdy2kQYCOaWPHwSaYSnkKnSBw9jgQ2shOEIDITrE2YRDBLqsl DnS2MWR7nFGWkspNNOKqzOPX+BfRWXHITUiGQsrtl0iXVVWmKMSofy7NkHehKGb5K7luTvFD I7o6WSFuxnxmIWC5t0CpK1Y+dmWunQOdnn48f/749tdd+3758fLl8vbzx93+7d+X969v8l3q mg8ENy+qrIF3ic3RnKHJ9Ujf5IPYAtdbf779XyCk3djrRYI031UtR7FHy4+wRudn+jjgWQgw u2/Fav9YFOyl4Eb1l5eEWPLZDmvz609oyuU9K5ZyZYLtkjNN20zsYe0mB78XP59SNFBtVp9j YgP6+9/r5elvfz59v3y8DguIPSWMBsrRJsJnXW2IP/38+swiERsjquap9vgSaHHvBDaue7YV u/9pPQ89omKp44GEgaX6w6PILqm8yJIfsjB6GnmBXZ1wxz0sz6kllvbIRWBQrQiuNPmCRKAr 5nasMcAqx8HW0xUVjXlWorhRYy3ELk4mhChelkDyecpKJpACXbFlXxFTFfn8xpL4mNY1g7Ys dhm1rLHDMdZ8ie1MeifOZMP7IpFD6hCqZZ7buC8SaQkDKmWjU8WQl2pfAjTua0H7FE7G18EV 9y18N8jHy2S7XoDt1WdYuYxZqaGrU8PICrS2AzIxV5Hf6mxUYL7zkRMNvmNOs8h7MVX2yF4B oEFAaRrJTkOgg9RTC6e7Z7q7NDg5GpMd3SFYmp2ymCe701HK4dY/MrHPEkTS9IUb+BMG3D+E tDOVWTjHgpgp8W7yLFV+xTt4gYgTecxhMb+HPpHcdFLaAAHIHcebzkOf8ONwqcXK1olcvL04 HAao5dmcd1mNcnm6CRXctdmWhw90fhGnGo9JIGqWx4q/2l1pVFE0LlVVzMBW5tDHqJGtZjEb ZeFUTGaumOmB08xEpYeDbS8XDUEfTwsSj6n82IICvuVujnHw6xk46ApcVo6HXmmyMhejM3GB 5DZ62ko+O5AxL5wLh2k1JLhXHFb/yqMbL9PHUVDtOKoVRpEm/BjVNLIp6Fp6NtIG4krD+n5G zMvSuu/QaIbsogjbpi666dqd4mMokyq2Jl7O0cTirm5czAY7Vx4eBuPYlEO8x0bclRMed47s rXLdj1VmKBNcNTA/WCvfjQrQdXSv2FjiXLBIb1YwToYw9AVFS4BSz5GXOgGr6T/Y4iWwcN3U kH6nPjLHmOb5UqYNJil0Rqr5gdkVXuSiEW/mpCqTMiKuZTLimxBiG1qAYduflce153ieh2dg sHm5MhR9GTmWITUcV5PAxiyNr0xUNPp4a8AKKp5oKQjaGsx8x5BbGHjoGITjbC+M8G8A0A9w b5NXLlAp6XJ3myv0XewCUuHxDf05q5u/UEzkYYJc4TFNvEUDvlUOtwX4Ba7QEH9L4KLK7Y2R qitAApaPj9ntyd4ew9BCL7oUntDQAQxEb9EFnlOFjbIPED5pfnWkgZoqLECL5oxUpydVG6P2 3zJPrzg8uoJeFQY+tqkQeDQV+4rBTYntyw4dJdQn+MWizORZxPCFG5qqyiSqUComaq0KZm/V 3iPurQVw4y2CwiQpvhqGty9XR/EKck3oRvW45rNZOVUn69QdWAdvPKUVryw63CSpSxaPfbif G4aDAwgcZrEZmFmz4veCnYLt35++fX55Rh/UpeD2nmprcqRqxhF3leTTYVbkRDLnS9q7/4p/ fnx5u0ve2iW++3/DC9RPL3/9fH8CjU/K4ZcSsBT5+9OXy92fPz99gnesqpOqfHdOKvC3LDQ6 pdXNUORiZDTh+dUS7ONMWyyVUiX0T16UZZeJ/l5nIGnaB5oq1oACfKvuykJOQje+eF4AoHkB IOa1dhDUio6qYl+fs5r2MuZKYimxaXsp0zTLs66j6rD41JbSWewq7nKgV8oaipJVAZy6aiNC 6g3Eh/s1m/GY9bGSdW+n7OALHcEU90OH4Pd8kLjqkzE3ph1T/KEj9NCuOu+nwfVQbZsyzPsA uYWEOKNSNYqqVaOuz6MaHaqs2XZPz//7+vLX5x93/7grk9Tog55i56SM+14LGwlI6eaWRVwy iJd5DKh6Ejr7XFYnGTIcqRD7gDl6B7goi4iIWt9CdERDOiAOaUPcSqYd93viOiR2ZbLuAwGo cdU7fpTvLV+rYwVufu9zgwU6sBwmKouxxRbAZqgcQjxhNsGLC+b/wNCYV1x76HmFJG3kSlb3 IDLiSUuikBndLLv2+WTy0X7l1NcmjSVOW7ortPCSGBjgZuQrj775u4JsW2FhWw+FJ8IagW4W PA9tnhacCHVoL+mKktBDiu8OoaijR6ygxGMqXtl2qW9b2NgR2qNLpqSuseLnwwzxHOPGZF6H ZrMXZC78OrMgaFT21tIXCdBxHxv88wtMSTkORD2NmuumLfRL+X0z1uKFu/KDOQToZFKbVDIh rWLuFUKHDqdUdJIMpD77oE08oP8Ri/7jF8riSVXxg0DRpu+zasSF+1zNs+YIQOJIH+oYrp2q om469IIfqstVp3NTUlkl+eGAMromOee9WrUj3AJAXE4K5wb3hBIb+BgzlK+6+lhIS2oZOmpu QHiLj3Dz26n1ZF0xVhUaExNym+TAW0CLkyg4gz6aqLnNUXU03eCQ/sZUOlHRW2nSYIG3dRBb q2zAN85j9rvvSt+huP+gJDwu2tz9iRjLj39PCyG0B6UTU3Y2neRKqzWJRuBfL1sxzsjy9G9j MrAMKmhCdUrMQPJIF4uA2FE1RbCwQcSmg5GV7mN911t4pGZhLsiAV+uM/i254wr2p7d3qplc Lt+fn14vd0k7fl+cWSRvX768fRVY53hOSJJ/CUYXc+3ynpYcF3q1AaAtXRUTjvW9IVHfpoXe OQzKjCXRiZ2zIH/yiKdoUU2sHuOEisrNFpJzKwi8gvCJDQfh5nnOC8XsLRa0Gu7PuyE59qn+ MX2Tn4em5R4IF28+Q/Xy/P52eb08/3h/+wqCvQdt5w66/IlVXtzRLV/266nUSsxWKfQr9QrO GJtEsCOp2KszrOVnTtafm601DXm7j9VGVZsUvJOtYmHeulK5hLw4E2fvIrtUjEqB80g3OZo0 X1A7QA+GZJbJxrO2A38DUe9RNNzgk1RgCyzJxG9B7l3bcnG6HaJF3ruuh102CQye5xqS+jau rIss6EPVK4PniOdOAl3ydr3Sy8TzxQfyC7BLSejLh2ArRDXLBPUaNTMkveOVDtKcHEBK4wDa KhxCTVAlDh9P7JJys8EYh4eMrRmQjUlkkBiL9HBtU+IJUDNlgUN5NCQg6D5EYjB8ULDxPYGN aQgLOk2h4ZJX4HJs+WhQhFzDWwORBX0KtTJ4Tik9l5sBvuQj9KpAhULWB7aD2gFfGfjbFY1O t5DI3AI6QYUBR26028xkaPv9UPmbcrOo6+bc3TuWg1StiqkmZIXIxGcI1ZFirFAGetZWIzEW PzCmjgj69EgqPUAkAc8XHUVVT3f7tn8+wbEHC4u1VYLAnBb7YhDPoRYmqmLavux2QYSCMLrR d4wrmowZRCaTQpWrV7dGCyiZrCiAadlb4O1Vj3I5lo9MqBnYyJ3Bt3OnbRvj2QOylT/Dbxbg 2eQ/aP4A4IJuAdH2prPIIchc6Uq6EiICAXYQmEAAuonf9XR6vx9KTwqtsiLFvorTHtnvLAhc m0gRMK8McKBKNzttWeSFtqdlHF0+q50Gpc6wc+j7ivA7dgTwMT1qBvBmX0C0wyjoeric6YfY IehTEIHBw1p1KOgWC1HFh7gnHr6sDxA0LURfswkcgY3MVgYQpB4UoNocqvUMdFVzbcNTmIUn j6PQ9Chs4SmPDrHiIiGO2YM/wmuyY9N4HRt/jaPxYQ3TOzEhQYY2QM+1ju1aAJOHG5AtPHQB iJxN/fFUhZ6NdA/QMdWY0ZFNAdBDdOWiiMneXWQhW/sGYMCECqMHOB3TYoCOTQpGx782CAz8 ASL8gB4iIoDSQ2wrxen45J8xVGqAnZyF1zcylBPhegVDtvYIwBCg05QhN3otChFJ+cg2/JHf EqSpQAcKvAgrEMxSvO2RxFi26lTHY+i5SJcCEGIzgQEElYsc2tIUhzYGPxcxT774wpdOGpRs +cqV4OGKhCNEfjxapPqF30HxtVOkV3dZQ5fV++GAtiFl7GIspPyI5DgfWepnhN8uzxBnA2qm naVAwtgdMvnQkVGTZGRRIE01oxydeugmom2LRtJYsaLTiuxH7ISIQSOcJF+HAmvCrLwvaq1h s6FpzznmAJ/BxX6X1ec8l/NKDlnXPai0gv56UAtImq6PC8whMUfHfax9WRUncVnikX0Bb7sm LSDqoilXZvihVO+h7ZZYGAKZjph9U3cFGt8XGLKq1z4/40FjpYyyMksa3BsNh3GH6gx7xEMK 8mFa7QrxSQUj5uJFMlAOTSlFuuK/tYrvBz90tOampWtDV4QfMjmXMaG7N3l7DuRTXCoGthJ8 LLJT39QFrsaw2j10MYT1MjIU8IrPjA6mPvwjloI+Amk4FfVBDP3LG6LuCypeGq13y0RzMSii mdJBZVY3x0ah0TabJQdChR+yGfCKoJMT0G6sdmXWxik5y9FpANxHrqUklfDTIcvK3sTBZyHt ZFPoa85QgjmI/EFV/JCXca98ZpfxiabN9CLpGnixaiqigcA+mSJqIN5gwYasml894Jovx7oC O3QArOnk6QNCJq7hhXHZiLNPICptzpJkdQVx/AyFtNkQlw/1pJRDxWaZpChRstES6etdvFaF mQHu4A21WDiyVJOGC5YYBXZLRR90uhQRlMvkgmo+aq9T1lSRHl2TJLFWb7pG4GGfOVj1o/jC nBEbKbwB/YX0CHOuBqGWTDkPWayIUkqiE4PqBpnWPLQSbanGvRA/rTKPvj0Eh477ArMhYXlX cTf80TxAAZKqJtDN6/RQHBu1tlQY91lmGgbDgUq6Sktz6MZ+4PfohoQQPu10bntHbjYWI1sh FcUcEFkqYyroLDFk/ph1jdoCC8389Y8PKdWudOnCfQecDyN2T870pLKVomNhyt/qpRrVVVnU cV27bAus3WfmxZ5DcGUt5n0NKYQVyMIiFZIvbI13NTQQcxXq0ByS4gzWjFRR59aT144DfDb7 kImq8xMWrL2DlSvuzwdRgEkhcRhbXVOxmGTnOjstBrvLDqB6+f58eX19+np5+/mdtcV84S6a 40ImacYDE4F1ZtGjgVeBSzJrkavRDPvz6UDlTEnTiz22gLuSidV+MAwZ4AOxeYaVBFyHwut6 raEgWhVVzeliANYqZfzwO5GLqgwqDmAn1tS7WBrq1yH49v0HHsJGyiTxg8myoFOM5TTTSGzr 0KpMAgs4x7X9Setb7jOJ2DMgZTvaDtnIsi9D29YzXMm0zEbNkoNopDyAuzD2fY/uKrVcIT/m Hbria9DairPnjOT16ft3fY/HulC0XgECs1ISj2FZX6WVWtmh0neUNZWB/7pjnzI0HTy/+3j5 Rmfo9zuwM0n64u7Pnz/uduU9C9XYp3dfnv5erFGeXr+/3f15uft6uXy8fPwfmulFyulwef3G TDW+vL1f7l6+fnpbUsKHFl+e/nr5+pcexpj1YpqE4qk1pRWt9tyUU48gMDaGE2U5NKY5CelH 0cEnpym2XaxKrNvSLsHITb+6vWhfn37Qj/5yt3/9ebkrn/6+vC+fXbEOrmLaIB8v4rxgmUBk gKY27CyXMR/IT0zW1mRRaNHhwiNtagN3iflaq1EyMTbkPEJn4ocryuSZQ4sWXQLOaQy1iLt7 x7axE3CBaT0iQL7i4IjnkQLCJOohizWJusQfLfYFHI/QDbIh/KhYTEt4oF60JfkW/lxh52MC X1a12R6taz6kENhKlzEcPlLxg6k9AkvRxh/QrOXzGbE26f4XPnzhopqcIZ88tImDP3yTuZTY MOhgi6mqal6E1m9FD9MEhnFE2wKOZuhOCYwLDR8zc2xnf1/2psa4b3YFhC2+0apVMpxHIj/J EmHYn9zIoekD6fpHwULXgE3jrBlgBdfxsYpvtn9bEgd1hyfwNEPhh6JtkIB9SGIxVpaIjHE5 R2tDhEybtOHk4Vic4+IHALo7TpWY5ZLsyjq6c5hj0t6Qcw/VrjEJ1AG7WJbExC7rZINqAZ2o nGzwDz+d5GM9sZlb9WAK4anqos5MXQ45JLeymGDHcq4GvHpFf9g1taH9+9G28KH4YSAofWzT IMytwMGTLevzuv7JmvpHXPXMqgK9jZkx0a08U7TScRgReX/sM9yjAVP5igZ/tcT1830zzFFE RLKqHS6LSfIQJKLvYI4x33JqtYrUdBoGKFtb1JNh9o1wfJ9SzYJuBUzdX9ANw+64j5VKa3Np 6GK6jzoWu051qyrWsznFHW0kbUVSgyaKfXPos4Gry3kxDaOmBVLVCM6bctOS8ECTKMIme2Tt Mmnil+6u4F/i2RMeypQx9XQbR//jeEYZuLC4vnhnyFoOomvT9oYYElmvbtAGrWvZOZH5/oYN iglucIzwmMX7kmpBmLN5wCf6Fy94nVDt57+/vzw/vXINFlct24N0o1I3Lc8tyQrs/RpgPGqW Egx+iA/HBuBN1VeJ/iUdURhqK5UcUy1GaWxOw7T9Gbk+5ZCqI6aDR6OGJ746q2lpWYqDEMpw hPU7QdB5X3Wux+q8G/McXoJe+RSVXurLy/vLt8+Xd9o+1/250pVTTAJlioCr10gRz3QNISTQ Jg17q6JvwsQeQusgT4sdxBxv+mJQlpHl29RS+X8N73iAAU7njCCzTzKimeEel/XHuU7w27Rr b23UKh/rBFbsDZb9/MVGhqqgAp2XtJHJfDJgFhspj/PO2nwjn4PxxHB/Tnf7VpsfjGp+PiXw rD27yIKHVrQXYz/PQ9JKUnGlJviZNsdzENCol6c5PfNGEE7iVBn+/nb5LRHDwP8zvYhB4fv/ e/nx/Fk/+uRZsmD0hcMK9v6ftGtpbhxH0vf9FYo+dUdMT/Mt6tAHiqQktkiRJihZVReG21ZV Kdq2vLYc0zW/fpEASCHBpFwze6hwMTPxEB4JIJH40kV+Cf9N7ma1okcRdPx8mBSnB+IVt6xE UkGkaGVYMtpks8sAdkDxR2fr9fKQiYvrmpbdZg2+75K7naQ1r7XwspRDZOqRO4vtLWXlLDDs HwMXw21U05OACw+2FdIQU8S/seQ3SP0jZkvIZywWMvBu5/rzIKDstnPXgHMsYDewIrHMOAtc IuBSfKubp4u0YHxjvh5S8AZYhodl5+P9XwRSapdkuxHnIL6x3BYplXS8JcysyNqC/Vzd2ymK MEeLB90UrTWuYgVnXsNGbgOb39UtRMHaLNM+Vj28xR78PpEsYm7g6Q/KBVVA0aFeuJBpY0XH p5/C9FwLBygVdBn59kq2IwBTMlNAUPTM6nOi/sRaEX1fR3s3qg7otpRP/4XrEhli3FVFDn1z wzX4uT7loNmzJdYVTtZB2jVRQzoI9UL+sN/kQ/6xRCagmCLGtuMxC8dXkDW8pZdwwbweHEKO 1MQJycVFcBVg1KDUJo4A5GcsWZPH/szWg8j0I9b/2yDqOKjG9BBW9z8fj89//Wz/IhR6vZxP FJTBO0SkpW4TJz9f7l5/0fWf/L1wbLnSZEW+r1NKQwouQPLp9Wxej1+/Duexurtiw3ZTl1pj AeSRUMn1x6psRjMpGmo7g0RWKV9U5tJwTPFJHwckEVfbjwqJ+DZwlzWfRspQQAoUq7tvFCpA NOrx5Xz35+PhbXKWLXvp6c3h/OUIC/nkXoD1TH6GDjjfvX49nIfd3Dc0P8yzLCX9RfDvjAoJ X03nU0VjXlVIjJ8rkpQEPcGZgaflUO31DTq6pQcbP2PZPMt5exPF1E2MX9QDwVi6gLSKm5J9 ookdeMJPr+d766dL2SDC2U25GgGSaojtBeJudkZEZNFtnDM5PvOO/XJ3j4MtQxq+9V4Mcf+H IgCFcF2C7hhR63rXmTB6xwCoFWF/68QliOYIlJeSieZz/3PKRuD2eqG0/EwCDPYC+9Da454C esJs15qO0duYj/mt7j+q86feGF0h3w95AUJvVHSA5J/hDaLGGgc+1GVI4NlOomZ+7OJzesfK WG47ZGBsLOEQ9d5zuk9lKkJOOZQtDElYujUTcdxRTuCOFhheK7Dw7Cakm1hwRiIZdELzG9dZ kyULcMar/XMNKE8Xmdlk/RRE4pXUjO9gZ1Y0bLFFYb6U7TPls2EEI1sT8UN6z6fnQgZo7QTS gh+5p2QFdpxzdcwC4iTZ2cynLJc9N+HzNux0ELwvwjqI6P0ZMdgE3aOKF5qBBBnVBXxaNXhE UYI+ooIQfqOuLvT3gH2TzaY44NSln7yPuzKwPxoQoEW8a30mFRmpZ/gMdeyrKqGIq+nMaDYC OwJ69O75gVhdBs3nOi6htSR9GL4U15SEBtXH7iwmf6fkydwHa3TvDfJBxW0nDEaGnj/yvksX 8a81MyxCod8uoiLL6XUtCEmlLjj0K0BNZOqEdPgHXcb7AZnwR/K5Pg0dz6JnsDgcXksq4oyQ uqdZ29MmujoJvLAJidkJdJdQC0D3ZwSdFYHjEQN4fuOhOJH90Kv8WI/71dFhRBJqxESf1+k+ uWgMccXFqD49/wrHm6tjegDU1y9RDf+fZVNqrg/P0r+/YofnN36WxSUJblJE8+1Cc8hUmbFP m1jcySA74a2gk/ZOIyPtzLDdEzejPRswKCloLY2NnXkkBc7t20GLCvyft9OX82T1/eXw+utu 8vX98HamwII+Eu0boomW2QaFi6rqjBWOedOmmHEJL5N0cUkZNX32bHkW5Y0osMHa9fx3x/LC K2J81dAlLUO0yFjctexllCjmvNwkRCVHro8Vt4pq7Aur6BmLtILMPKs4n5JI3Rpff66rk4OR /FzKN+DCD3VwZJ0c0OSQLKbgW3/q4aQSgJf7vIGz0rEsaAIiDylSxY4bgMRHeXHBwFVZYT4f 8kZgI51BqeRuvESxNWyLJOJrUmFTdCskKyBSUKM6YnQwBy0d8kG90AOPqlnjhBZRMU62R8jD oSPIPlVbYFA7FI2vw8J25KJwHez9qDiL3LevtH7EFRX/ZzstNcKAm2V12ZJOm93cgpGYOdY6 HlQrDvbgeVkOGEUVB8SMipIb25kPyBvOaSDsnD/sJsUbFiEYBVF2x7CDhOLl0byKyRHG51tE qSROT6JrjcwFqIpw8pZqG3hYduMO6Mx3KOUAIIujSjSey3nRxkOenEoEYwO8m3YKsaRGuaBV vBG+bEKaVwBWCKWEb7aReGnIM68MT3tTVHgijC7ISih0/OEA40SfJLZEf6/lX2QuJDQr3bDU EsR3IKPNdXUojiRs6NFdl9vG2BDUTc5/xsiuOw+njjsfsXSEU9uhHY5qviqFKc3bNUGAEcyk 3TArJ29n9R4Ab/Oi+/vD4+H19HQ4GxbFiG/O7MAhHbAUz5MLT4dhj7OS2T/fPZ6+Ts6nycPx 6/F89whGcl7+Ge1po2SKVmD+LeM0a5XhxyCL3F9eLUKvRMf+8/jrw/H1IKMu0dVppi5e1BRp BNmo43a4SLhmH5UrG/3u5e6eiz3fH36gtZBG5t9TL9AL/jgzucUXteF/JJt9fz5/O7wdjVEw C11KxwqGp5c6mp18CXM4/+v0+pdolO//Prz+Y5I9vRweRB1j/VdqRfszM0ygKuoHM1Mj/MxH PE95eP36fSIGJ8yDLNZbNJ2GGNpRkUZAwDpuB/3Wz4CxouSFwuHt9AjXh2MdrJXuMNsxrUeq lI+y6Z8GErO+g7m4++v9BRLxnA6Tt5fD4f4bAkylJbQDnzz8yCgbA30TPT+8no4PKMCFImk3 S03aLpNiasRFUdwlawEJFSIvX0b6dpOxT4xVGDUCQjSQj8hvszy2ETpXRxGOLRRZx6vpqavb tizncFmjORav2RQdspd1+gnhIytCmzJnSOyCAhpk+Lm17qHeMboYHUPOSo/Z0REHV6c9g4Te u3DLao6c5ztOhb2qOzK4Ug6InYcyVf68zpJlmoBrK1GPKvMExqgM0XL39tfhTIVbMThd6kWW 5onw8BRvbBV1dcs7dZOXMbpsKKIsn5f7wcitD0+n8+Hl9XSPLtn6mTfgylQvT29fyQSIoU0f AJ+H5xCDCrAynvzMvr+dD0+T8nkSfzu+/ALT7/745XivuQzJefbE1xdOBuRmonSKLdPBfH4Y TTbkypgdr6e7h/vT01g6ki91/7767YInfXN6zW7GMvlIVF7G/7PYj2Uw4Mkd0L7y/v57kEZ1 B3D3+/amWNIOKYq/qWiPPiJzkfvN+90jb4/RBiP5vXkJAJh6G/3++Hh8NuuvJBW49C7e6msR laJX7z80yPpZWcCMWtTpTVcb9UkHs1dMCGDfAUKVmyQtog39hFSXr9Ja4GhvYuqlBZIEhcSi HTJD6gJ9kMqPC40Y44eawVTsfiXhsXhpkjbd0U4c6b6JL+4j6d9nvpZ2r4+JHKU4X/hjEf1h NEMtnCumm2FBFBnea7tkUPCLgBGjWmfIMNVmpsMrWoPfbHwjcrji1E04m7qUvUsJsML3deuP IndvG5AOT4uyppaRTF9a+Yfy5qdo/KSuZ6kxwD2SiG6qCa4X2UKI44yVswxf5Khi5X8XjEwz EBXFM5gWvYiDa8s6UIWRSnL+JXP6xGec99B9Z0ekHEGiZJ8bPhCKNHpMklwDPnZeRHZIxucp IsfBQXmKmI8r+aKYntfR4JjYc9yRiz5+yq8T8hcKDvYhEB1Tl3xbF8tqwKOzKKavMNZ7llD5 rvfxH2vbsvWA5bHr6I/xiiKaejiWqiKNRWxWXLSFBWIQ4GxDD+OkctLMH0EmlLyR0OP72LMs SrNwToAMPiyOXAtbqVmzDl2bducF3jzyR477/w8rg8TeBWCOJsLDdmqPRLMGw0NAY8IDa0a3 m2DRgds4y5tSZl3OCCxsBOHfbbaAQMv8yBPleZqPsA0IcrAIjFd6GoQtdesCrNCwK8xsM98Z bQ+ahuEUJZ3pntDw7c3w90wzpyfRDOb1sooSA1qOL0DUEFvtpzgQabaJHL5F4+kpJ8cmdjwd WV8QDKdlIM1ovzCIyWs54zzbJm86JAsZ+IHkBmT49mg/C/SbjCKuXEd3sAOCp3uNAWGGkqSb 9rMdhm2kQ25sou0UXW/L5btvbUUVUWV3kXyyhNB++nizbWb0z4Wzo1v+IsD5qL0bQbJCm0rW MfHr/Y7qMYt0wpd827FdzQysiFbIbIvIzXZCRrsuKH5gswDfNgoGz82mBqZkTme6gY7Tmjz2 fA+NWBWQlXc82XKcHQB7MCd2WQWvJvnKZI72/9wkung9PZ8n6fMDPgAOmOq0+fLIDwiGTg3d ANkeNSm5v/12eBJPR6WrgZ62yfkorFYKqguv82lAbgnimIXGxI9uALeGsiYUbGohoGGAeKwz 2GUuKyPeRcXIm+Pd51AFCehMq+bPka4Ux4fOlQKsbjKOlN6ktIC+USuYagem9kfSHMCqLp2W qb6/Y5VKZ8BWXQ57gyyU8VeODD5I7mR/j5kifSugLrs5ww3QcuG7ePnwPcfG315gfKM1wfdn Drj+67HdFNUgYBxTIFljy7cfOF49siHlOt82IqTDMhCMGLz9IDQuBYAyutn1g1mA0bE5DQWO F98h/g5s49vD3zPEn7rYo5PPx3DkWVHCPI/0WigCx9Xd+vhK5NvIxZQvNN7Uob3HgDdz6I1c I90MQgdeCNHKkvN9f2ob+pVTp2PbdcUOzM1jfwtxZVz3t2EP709P35VhRJ+nA97/yCC/h/99 Pzzff+8vNf4N73mShP1W5XlnjYsfT/d/TZZg/b87n15/S45v59fjn+8q1nPfQzNfRWfqVMq1 dNLL8dvd2+HXnIsdHib56fQy+ZmX+8vkS1+vN61eelkLr/M8U4X9p1ldQvlebQKkUr5+fz29 3Z9eDrxnTJ0vzpMW1hNAsl2CFJgkB09WfqCsmWceFPo1ZGmTAeMX+4g5fMemz8wLDc9YjW7s sYtq61q+NRqbQSjnBnCNy9aN9hllLsmapetYqH/G21AuNIe7x/M3bS3tqK/nSS0fEj8fz7jJ F6nn6cugJHhowrsWQpBRFPTAmixEY+r1krV6fzo+HM/fiVFQOK6t6cFk1ejb2BXs1/Sd76ph jr6UyG/cU4pm9NKq2ZJbRZbxrYF+QuXfDuqIQe2l7uCT9Azv+p4Od2/vr4enA98ivfPWGIxx zxoMaE8f9vMis4PBN/5NioaO9Otiry8R2WYHQzEQQxHZvXSGnqnOQDmrEZuzIkjYfoxuZIZ5 xn3oldbSM4DWwa/DdOrFjCZfN4pAw4Ri+YMf7119GEW5CxFMNEKVsJnxblzQZqSemK9sFG8D vvGDl7hwHTskPRgL7CrPv139QMy/g8BHy96ycqKKD8LIsiis235zyHJnZhkhDBGPfAQiWLaj Dfk/WMSPSrrXc1XzkxCqU97UPhnDLN9x9eDprkZcZXCtYigRoKBoGGXV8A6gcqx4bRwLmOiX ZbbtUsdlYHg4zF6zdl2bjK/XtNtdxvQf35OM8CU9Gc2MJmaup7sTCgI2fXZ90PCG9skTvuCE 2iAAwlR/vsYJnu+iBtgy3w4d6j3tLt7knmFVkzTSYrJLC36gxDHOd3lAW14/835yOlOwmsx4 4kmv6ruvz4ezNMURU3Idzqb6bndtzZC5Qllzi2i5IYmmMrwwsJEzWvJ5b6JBuL7j0RsDpbNE RmMrc9ebqyL2Q884Q2qMQSg0gz0SCU1J1YWLll1MN4Ym5hmaluwJ2UcX+BN0yEd0tbbdPx6f B72paXOCLwS61+aTX8Hh5PmBb7ufD5eBAA2+qsXTcvqmQ6Do1NuqodkNeDOAb4LGxr0Jz3A7 JnkqoGuIdq0vpzNfno7EvYjv6JM0Ab9lF6k53wttk6BZQ+GIJDW2RrDxPAcSn/rU8QyEkatJ U+Xm5mzkR5A/kDeAvl3Ji2pmW/QuFCeRZ5HXwxus5cR8n1dWYBVLfcpWDt7zwLc5rQUNzehV hRq4ym19tyi/cS6KhvVClbs4IfOxhVV8GxlJGs6I09zpYNA1rUARpA+pvmfR1yaryrECyuD3 uYr4lkE78igCrl9HNOb/oFcue6Vn8P8adhZzZ64/0O9IWPX36e/jE2yE4Y3gw/FNuhUOMhQb DB+v3nmWRDWAzaftjjKpFHMbPyhcgCsjCkNYL1BIsD0vwsJsbV7tct/Nrb3ph/nBT/gx37xe GzhsZhxCwVfP+q989aT2PDy9wNGfnFRcmWRFKyApy7jcIgToIt/PrEDfl0iK3qRNUVkWNl8D hXrq0HA1qr+wEN+OjrzET4V26CNzL1X5fkt3q3my8Q+pp/W6AFFA2ZDmIeA2tznOgxNUzB25 aNU3k/tvx5chYlhUF+0yEzHZ2k39u335FUlaRy1PiI4qZj79uK6ieN0iz74eIrmMG4yax/VB 2sDFfVOXeT6CDLcgcOLBH469//kmfHIuv0E98lNIkJ3GjIt2XW4iAaOJWfwDoAZbJ9wUAiET NbbOhLRk7UAq5n1SDQEju+mE6qqlBJccnpBcw3TYrXje5rrnfR31ESF0z9GuHzdJXWY08mHv VdqtzXoUGoHqYXz2Q7Avege3p22aVtLvUloubifn17t7oQvNYcUwgCj/BIiPpgS7dUYGDO4l AMNE82YFhgB2xCRWbus41XAmhzwdPedisBhWuksKnrT6ubiBCVDV7QXzXxNsi2XdyzDToNJL KK+zsXCjvVwRxat9OeYSIsSkU+iggos6TT+nA64quAKUHqkRa+MH1Oky0+8vBTFZ5IPfwWl8 NlJ3Rz07Wmgw51XBD7B6xN6s3OMvUBQGsBDLs8IAZAWSvBqNm5p2ZBFbYv7/TRrT4HsxBJsa 2e0abmbShn0EP24xZ9H9zi6CVZqv0HwHXUU1I92dgFeybN9GsaaO0z08+sQavaO1c3C55c1F na7g+XAL/EwP7AQeguA3/MnkXzqNtekmrj+NAXIv2KZssgVCzU0kiTKJSE6HndXlEfV5KMrN tmwi4xMAlQTOsOgn8MFAmhaAOZXgbVRv+M8g+1BKjGMT3SyKpt3R1yCSR+2qRK5xo/uKbJty wbxW13yS1uLeW/C2oFF0y11a59EnlMWFBjHespoP1TbBsRAokSi/jbgmXPAVsrwlf5uWKtsk KY1mpAnteVeKH/SRYJHylimrT4P1N767/4YxnhYs5pqLdvhV0nLlfju8P5wmX/j0usyufhyU MWoxQeDLgOwdbbxwcrzK8qROqXG9TuuNno2xiMk/l87s1ulhzbTzJrwBF9DKn1iTFlSX8yF+ W9ZrXUpbTbvitO+dY3yjq0lJAQ1ClQVM7/cnLM5uIzqmpBRvR4A7yrJpx9B/ISUMcum1x7UD +cuVELR7moOQ8UMoe9yyFo5afL9Wantm0GLmJ/xS1FCmww3bbmp9gyS/2yVCS6tilgpau67n xptmPVWSMYgNw2cSl9/WEPUrBrBaun26RGOYBGm1Qv2uCNTyEGdIMIMObaKGIbOpIEegCS4V vOJRKcS3FYSIpWoH3H3UNPWwCHLYCZYBT36hDSsqYcb5pq1qR0LQSrG+kvokTSJD20ZiDhGZ zCpDUhAubTyWpBUNiBAPNzlDHx1OxO8/Hd9OYejPfrU1KD0QgADPFeCgey51SkQiU2wWwbwp 7TCAhEKfMj8bIg7+BRrHHy099Gl3PSxE3vsYIvZY6cFovTDSjcGjHVUMoR9puoDyIjVEZqMV mbm0gygW+rh7ZthHD/M8Gt0IV3JKOaWASMZKGKEYIgGltZ2PK8hljC6MWJxlmNQVZdNkhya7 NNkz69sxxnu1kxjr0o4/mG4dg3IzRz9spK669QjRfUxfl1nY1gRta9aIH/j4ElyQAZ46fpzm jY5ddKHz7fS2LglOXUYNClbZcz7VWZ5jU0fHW0ZpTh7KewF+xlxTKbMYwrlQ63wvsdlmzbA6 4qeTFW229TpjK7O0bbOgLmyTHNkZ+OfoorzdZDEKtasI7QbeUuXZZxFZmy8O+UKhiV7cevRT ofQ4PNy/v4KtdID8BCuetpWVoTh5hwGDH3iWGrOBSLJpYiRRZ7cBnX+1yYqfFVMZAxyfldWS 1iZFyoSFramzkTNxJ0teuUmWviVZgfFnFdVJuuF1gmMgnA3EbiQ2H7AOxOgK8P2NCEsD5tok XaV5RZ6nO7Cmy4+LtNmQs+L3n8Ap7OH0r+d/fP+/yo6ut20c9n6/ItjTHdAb2q7rdQ95kG0l 8WJbrmUnbV+CNM3aYG0aJCnudr/+SMkfkkV1O2BDW5KW9UFRJEWTy5flyfPr8mG32Z4clt/W 0M7m4QQz0z7iQp3c77590Gs3Xe+36+fB03L/sFae/G4Nf+uy0Q822w1GZWz+XdqhaXEWYxUU 9HdmutZUd1tIP9mg/S9uo1D7bNXqRcgSovG8hfsfu+PrYIUVLV/3g6f1884spaKJYYXGzLyg scDnLpyziAS6pEEyDeN8YjoE+hj3oYmVZ98AuqSF6fDoYCRhq6o5Xff2hPl6P81zl3pq+rKa FrBeiUsKMo2NiXZruPuA7VSxqVuTBKWRdKjGo7Pzq7RKHERWJTTQfT0artcVr7iDUT8IdqjK CcgnS+PXGF/mM43l2TjO2nIP+dv982b15/f1j8FKcfLjfrl7+uEwcGGlvdGwyOUhHoYEjCQs ItWkdqK/HZ/w2na1PK4fBnyruoJJR/7eHJ8G7HB4XW0UKloel07fQrP+bbMkYUrMTDhh8O/8 NBfJLSZo9c8S4+MYc3ASjTQo2g1qEp1/pjXWhrkEHDqXnpgPk+bsnP60QJNIfh3PiH5yGCoI SCtVt/4sXoXvYsnZgzuXgbuA4ShwYaW7WUJia3D7c9UamhS0G61GixGZjlAjc6qLN8Sr4ZCe F8wVGNmkWX53T2F18bLqrlWWhyffRKXM7cZEA/vjuYEu+wc00w81kQ/rw9F9WRF+OicWBsEU tDw7jeKRuylIue+djTS6IGAEXQycxhP86Z4KaaR3kQs2Y0k78PnnSwr86dyllhN2RgGpJgD8 +cydKwB/IhZMplQ4XIMsQQUPhHssluPi7Ash2XP9Zq0uqJpnLjsxLol+ALRXQNShyKqAjAdr 8EV4QTQcJGI+AtX+vaaxjgOYKWSqx4ZClo4r0MC5rIJQd3Ei7u7ekfpJdH06YXeMMnOa5WGJ ZAS3NLLf5QHO3dMVlIEcLAWSN2h/SHv4vjNh5VyMYmIL1vBuLjWvvL7sMErGUnnbKRslrHSV heROEH2+uqCvztuHyNygLXJCCbU7aRdN0UEpy+3D68sge3u5X++bL0So/mMtkUWYU9plVATq w9CKxnhkrMYxm6UJEurgQoQD/BpjaRGOgRH5rYNFbXFBqfQNgtaxW6z06b0tBTU1LZI0EJSv mlTrwVAaCRczJ3birMtTXKOYvE2x9jSYiWj3oieeROZVkNQ0sgpqss513BGWeWpSEQt28/n0 yyLk0I9RHOJVr77nNWz5aSiv8NZyhlhsjKL4C9hISnSp0VhVQBYe7uAyHqPJnHN9ozvjhe5B bOxK/ELgm1JVD6qs0mHzuNXhRKun9eo7GJNG7IW6hTK9C4V1g+zi5fDDhx6W35QFM6fDed6h UHmXhxenXy4Nd4LIIlbcEp3pvAG6uSBRxYxk6yih7xR/YSLqoL77/RJs8f3r23GzNXUpjFSy 5iOI4XDFdJ1m3rA6pCjj5aIq46SXE7SISH9ZG4gUxotYpKYe2KB6YNCbwJSAXW+BrDzLQOGq VtBQWS3sp2wXswK03ixSQCkC2D48uL0iHtUY38GjSFgxZ56anZoC5pZ+9aWl5oX2X0ZUMNZj dRTR0OpuwbJIpO8P9g4/kQGBZJ9fCuqcanCcqXqkGLZqQzGUxoXDUUXSX5D0N3cI7v+9uDFT 99cwFSqWu7Qxu7T0qxrMCrowWocuJ1VKWTk1BaYMdN8WhF+Jl3nmuRvxYnwXG4xuIG7uSLDW InrbxfQyNssNqtNCikRYGqAJxVatRKlSijAGgTrjMAsFM2QvHFS4JbntRU6ZOvB8nmQ5TnTH jHFcGz6XLKkvV/uDKQWYKxbnJ3eLklnWahR5sqsV12g1UbeaaW6nARZxpKK7wGiwouZQqpL+ bUdY2n7S5nxR0N1+sz1+1zHCL+vDo+sB1wV3VZE8c2A1GO97SW9vqEP5MPliAuI4aR17f3kp rquYl8OLdh7qg9dpoaXAzJFNRyKeMDsG6jZjsD5UpFE9T96xt6rz5nn953HzUp9GB0W60vC9 O1P6otzWkzoYxgJVIbeSehtYmScx7eA3iKI5K0a0CDeognJEkoyjYCHDIs5LOgyCZ8pBmVZo kk04mZBtVIBJp+K7hldgqZq3ANAw7E2MNk09+Z1B41RvACqSoMpAO42wgUAklEXaVDw3djzH yGap+2tOrciBY7EeRJwlcT8YzWoO1Bp1VZTGMmW65HCn8FgYNe6FyMyKN3pCcqFi4ty1HQmM XZ1zNlUJzXoFHDtF6FeZrd0cDMO8QdlSEd0usL1t0Ys6PP3njKLqV8rWndYhQH0oRk8NrRK/ g2h9//b4aKmr6voZlElMO2JXRtKtIF5JWyr2XenZIpYi6xcZsTCLDG30jL706pFiufb+SETw lWtPY69zNYJUPTykGLDrZa2GSH0GJj3dUH57H64IK8XjPjwwFfBUExjro6p3diNAz/qDkQmj E7bXaHU9VqE09g51lrrTOUuVZ7IfUtinKYJ+vwGYj0GPGxNrlIk0repwZ7+M0HkS1e2ecT6H SkOYMmAet5aQBquxqhmybwE7Vu+1Bg+FYoa1TTESLuwPRU70RxfaN4uNDDARxdtOb/DJcvto hWBKMSoxYK7KoYESVs9TL1gjF5MKeLxkkpLV82sQWCC2IjE21QNfJ7oNlIF8ALEnRG7efZtg jKCuePd9iUYim4uqHLa1dySsfNSPNdNA+5hUsJ7zQdNp3uNZ1Ip4a3rxlVPOcy0vtK2IVxPt cg1+P+w2W7yuOJwMXt6O63/W8Mv6uPr48eMf/bO7KOH0K/kNJ/iuyajsZ7n2SQtch3Rrl00t V+xaxBgzDstcYhigV+rM5/oFHtnUqH7/Y+wtm+ChBiIZi7mD2g1zrk0wdwqmWp68IylqCtie CWeS2vUq/kATw/8ZZvUyLfWfYdCl0IflNbC/YHR8eSNF0M/RK+rRowlBY+NZCQekRaW9lGFF nX7mMhrWDAhxzPK7aDV1A/HTlVdEhS+pL2L5tXxHzbW7ak8diAitoRRKNzGMnnp+FrwoRAG7 9avWhQwKVV2ZJjTHqNWQtgF6EHB6wUZWc6Az7GdUoWsQ6vbEqjMODERWMnTj4NfUPaVDYvUU T9hvFUgyYEvBYUfE4yzVDnzD3sCklCkBqg2y4Ye6fMDwePwhT09ARz416zaPqiTxf/uQiSb8 Ou1zbz/oRFtx/wHBx7wZMqEBAA== --AhhlLboLdkugWU4S-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3053298072474531028==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: sound/core/pcm_native.c:3412:24: error: implicit declaration of function 'pgprot_writecombine'; did you mean 'dma_free_writecombine'? Date: Tue, 02 Jun 2020 19:57:46 +0800 Message-ID: <20200602115746.GH10863@intel.com> List-Id: --===============3053298072474531028== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: f359287765c04711ff54fbd11645271d8e5ff763 commit: b0310c2f09bbe8aebefb97ed67949a3a7092aca6 USB: use genalloc for USB = HCs with local memory config: m68k-randconfig-r002-20200602 (attached as .config) compiler: m68k-linux-gcc (GCC) 9.3.0 reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross git checkout b0310c2f09bbe8aebefb97ed67949a3a7092aca6 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = ARCH=3Dm68k = If you fix the issue, kindly add following tag as appropriate Reported-by: kbuild test robot All errors (new ones prefixed by >>, old ones prefixed by <<): sound/core/pcm_native.c: In function 'snd_pcm_lib_default_mmap': << from sound/core/pcm_native.c:45: >> sound/core/pcm_native.c:3412:24: error: implicit declaration of function= 'pgprot_writecombine'; did you mean 'dma_free_writecombine'? [-Werror=3Dim= plicit-function-declaration] 3412 | area->vm_page_prot =3D pgprot_writecombine(area->vm_page_prot); | ^~~~~~~~~~~~~~~~~~~ | dma_free_writecombine sound/core/pcm_native.c:3412:24: error: incompatible types when assigning t= o type 'pgprot_t' {aka 'struct '} from type 'int' cc1: some warnings being treated as errors # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit= /?id=3Db0310c2f09bbe8aebefb97ed67949a3a7092aca6 git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torval= ds/linux.git git remote update linus git checkout b0310c2f09bbe8aebefb97ed67949a3a7092aca6 vim +3412 sound/core/pcm_native.c ^1da177e4c3f41 Linus Torvalds 2005-04-16 3393 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 3394 /* ^1da177e4c3f41 Linus Torvalds 2005-04-16 3395 * mmap the DMA buff= er on RAM ^1da177e4c3f41 Linus Torvalds 2005-04-16 3396 */ 30b771cf8c3120 Takashi Iwai 2014-10-30 3397 = 30b771cf8c3120 Takashi Iwai 2014-10-30 3398 /** 30b771cf8c3120 Takashi Iwai 2014-10-30 3399 * snd_pcm_lib_defau= lt_mmap - Default PCM data mmap function 30b771cf8c3120 Takashi Iwai 2014-10-30 3400 * @substream: PCM s= ubstream 30b771cf8c3120 Takashi Iwai 2014-10-30 3401 * @area: VMA 30b771cf8c3120 Takashi Iwai 2014-10-30 3402 * 30b771cf8c3120 Takashi Iwai 2014-10-30 3403 * This is the defau= lt mmap handler for PCM data. When mmap pcm_ops is NULL, 30b771cf8c3120 Takashi Iwai 2014-10-30 3404 * this function is = invoked implicitly. 30b771cf8c3120 Takashi Iwai 2014-10-30 3405 */ 18a2b962337047 Takashi Iwai 2011-09-28 3406 int snd_pcm_lib_defa= ult_mmap(struct snd_pcm_substream *substream, 877211f5e1b119 Takashi Iwai 2005-11-17 3407 struct vm_ar= ea_struct *area) ^1da177e4c3f41 Linus Torvalds 2005-04-16 3408 { 314e51b9851b4f Konstantin Khlebnikov 2012-10-08 3409 area->vm_flags |=3D= VM_DONTEXPAND | VM_DONTDUMP; a5606f85611267 Takashi Iwai 2013-10-24 3410 #ifdef CONFIG_GENERI= C_ALLOCATOR 055032142c42d2 Nicolin Chen 2013-10-23 3411 if (substream->dma_= buffer.dev.type =3D=3D SNDRV_DMA_TYPE_DEV_IRAM) { 055032142c42d2 Nicolin Chen 2013-10-23 @3412 area->vm_page_prot= =3D pgprot_writecombine(area->vm_page_prot); 055032142c42d2 Nicolin Chen 2013-10-23 3413 return remap_pfn_r= ange(area, area->vm_start, 055032142c42d2 Nicolin Chen 2013-10-23 3414 substream->dma_b= uffer.addr >> PAGE_SHIFT, 055032142c42d2 Nicolin Chen 2013-10-23 3415 area->vm_end - a= rea->vm_start, area->vm_page_prot); 055032142c42d2 Nicolin Chen 2013-10-23 3416 } a5606f85611267 Takashi Iwai 2013-10-24 3417 #endif /* CONFIG_GEN= ERIC_ALLOCATOR */ 49d776ffb50f2e Takashi Iwai 2014-10-24 3418 #ifndef CONFIG_X86 /= * for avoiding warnings arch/x86/mm/pat.c */ abe594c2cf55b4 Geert Uytterhoeven 2017-07-09 3419 if (IS_ENABLED(CONF= IG_HAS_DMA) && !substream->ops->page && 657b1989dacf58 Takashi Iwai 2009-11-26 3420 substream->dma_= buffer.dev.type =3D=3D SNDRV_DMA_TYPE_DEV) 657b1989dacf58 Takashi Iwai 2009-11-26 3421 return dma_mmap_co= herent(substream->dma_buffer.dev.dev, 657b1989dacf58 Takashi Iwai 2009-11-26 3422 area, 657b1989dacf58 Takashi Iwai 2009-11-26 3423 substream->run= time->dma_area, 657b1989dacf58 Takashi Iwai 2009-11-26 3424 substream->run= time->dma_addr, 9066ae7ff5d89c Stefan Roese 2018-03-26 3425 substream->run= time->dma_bytes); 49d776ffb50f2e Takashi Iwai 2014-10-24 3426 #endif /* CONFIG_X86= */ 657b1989dacf58 Takashi Iwai 2009-11-26 3427 /* mmap with fault = handler */ 657b1989dacf58 Takashi Iwai 2009-11-26 3428 area->vm_ops =3D &s= nd_pcm_vm_ops_data_fault; ^1da177e4c3f41 Linus Torvalds 2005-04-16 3429 return 0; ^1da177e4c3f41 Linus Torvalds 2005-04-16 3430 } 18a2b962337047 Takashi Iwai 2011-09-28 3431 EXPORT_SYMBOL_GPL(sn= d_pcm_lib_default_mmap); ^1da177e4c3f41 Linus Torvalds 2005-04-16 3432 = :::::: The code at line 3412 was first introduced by commit :::::: 055032142c42d2821c4aa617915292d6a08d56fc ALSA: Add SoC on-chip inter= nal ram support for DMA buffer allocation :::::: TO: Nicolin Chen :::::: CC: Takashi Iwai --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============3053298072474531028== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICMfk1V4AAy5jb25maWcAjDxbc9u20u/9FZz0pZ0zSX1J1OR8kwcQBEVUvIUgZdkvHEVWUk1t y0eS2+bff7sALwC5VNI5Z2LuLoDFYrE3APr5p5899nLaP65Pu8364eGb93X7tD2sT9t778vuYft/ XpB5aVZ6IpDlGyCOd08v//72OHv/l/fuzdWbi9eHzZW32B6etg8e3z992X19gda7/dNPP/8E//sZ gI/P0NHhvx42ev2A7V9/3Wy8X+ac/+p9eHP95gIIeZaGcl5zXktVA+bjtxYEH/VSFEpm6ccPF9cX Fx1tzNJ5h7qwuoiYqplK6nlWZn1HDeKGFWmdsFtf1FUqU1lKFss7ETiEgVTMj8WPEGepKouKl1mh eqgsPtU3WbEAiJbCXEv1wTtuTy/P/XT9IluItM7SWiW51RoGqkW6rFkxr2OZyPLj9RXKsh0yySUw VwpVeruj97Q/Ycdt6zjjLG7F8uoVBa5ZZUvGr2Qc1IrFpUUfiJBVcVlHmSpTloiPr3552j9tf+0I 1K1aytxaqQaA//IyBnjHcZ4puaqTT5WohM1xR1ApEUufRLEKVM/GaIGCgL3jy+fjt+Np+9gLdC5S UUiu5a+i7MZSIwvDI5m7axVkCZOpC1MysedgdxAIv5qHyuV3+3Tv7b8MOGs7zAshkrys0ywVrVLw vPqtXB//8k67x623hubH0/p09Nabzf7l6bR7+tpPrJR8UUODmnGeVWkp07nNnK8CGCLjQimkKElJ lkwtVMlKRWJzJcn5/ACXejYFrzw1XhHg9LYGnM0tfNZilYuCUl9liO3mAxBOo+uy4dIdvVvGhfnD WthFtyAZt3mSi0iwALaHxpDbCjdKCGolw/Lj1UW/sjItF7B7QjGgubzujMS8yKrcsg85m4taL6Qo emgiEj4ffNYL+McyN7qnWvHINkIhk0VNYnioap+lwY0MyshZg9JuQGpEM1YuA0XIo8EWQcJG7IWg 7Xf2zBp4IJaSC5uNBgFKNqm2DYmfh+fQektS6pThxmloWMnswdGsqZzBrqF7jgRf5Bksb12Aqc0K QfWP4tP2VI9hdw92EKQfCNj7nJUTQi5EzG6Jfv14geLSvqAIXN9QsAQ6VllVgDB7i10E9fxOOiwA yAfQFT10UMd3CSMGB8zqrh9TE2aDfuO7t7TUeJ3lJTitO1GHWVHDNod/EpZySnxDagV/OB7FeJLm O2JLcMQyuJxZzisP+w9jVfrvAW0CDk2Cr7E0U81FmYBF0WOxOB4vYIMgJ2sYpEjanRnB5outKRlX CDMWdrxgjIjtkS07IOIQbEVhdeIzBeKqYks0YVWK1eATtq7VS57Z9ErOUxaHlmZpnmyAWIq01IDe GcuMlIPM6gqmQG1AFiwlcNuISNm9gWXzWVFIURDtFkh9m1hCaiE1syfSQbVQcDuVcikc/aDWFoYW QeBuynYx+OXF29ZJN7Ftvj182R8e10+brSf+3j6BA2TgeTi6wO3hqEkbV/SDLXpWlokRdesQSGsL MR8rIWC0lETFzHfUNa7oEErF2RSC+bAKBTijJtybJkObHksFthA0OksoUxhVYQhxqXZuIG4IOMFo OguesFxjbtxwmursVpUi0SYbY3wZSugNI1prz2ShjNtAqBG+G2h3+3723pIbhlE+qkAaSGZ12EZ4 0Y2Q86gcI0CHpF+AKQdpgdUmCFSVuBuqxrmC9+ihaQa7Jc/A/4IwHLDjSe8gUHQh0d3Hyz77yeel zlBiUB3YVde2kCtyFRdiJZzARitt/rA+oZ52qYmBHvab7fG4P3jlt+dtH82hICHvUko6wRPP4iCU pH+EFhcXF5YJnr2/vnrvfIu7IWTZQAa8qOftZvdlt/GyZ0wxjz1faRYI1YRd1/Y6Y8YHovVlGUoR B8rVggYLbiGQy9lbElmBmQRbqYMqzU+y3vy5e9pqyVgsQEqWWTqjP6/77xXPNAhNu2MEKw6JBrWd Kh4Aou8hKGBfpVcWACTOS7S9EDtB5D9IIGNu2XIwtVlxi5ooCrCOF+5URvKs/ExPpuPyLWYOfKFG +gOxiLcZJP5tkMAStMl9ag4A7d8v/n17gf+18KXA9NmlXYgiFbGBIXkzWjY9WmbJCj4GQ2cJjOJ8 w4QgVDCdW1DD4KXDIDBu+HFioKwBEmsnFcPNWzPtgTvrNNhstoMJt+vTy0ErlNH6/T/bgwfuY/11 +wjew9t3a9SnbIm70dtRppo6pYj1Adb+tN3gqK/vt8/Q2B2m9d8Fj+rrK9hBdRaGtaXiGnPDwHFh 1p+zAvxvW3cYVl209oDFLvVSt2mwHdYlWWB6VLngaO4t5c2CKob9DZGbDobQyZ/FDrrW3QIXUQ/P sOAh56qC0dLgeoRg3HU2s7coALTodulH+2QjGxelRwTjwbNIFOjaURkSx+C3JE1lwLU9ABchyEBi 2zB0DEYhQh0o6ACQrv8s7IBCdUUoni1ff14ft/feX0bpng/7L7sHp9CARHWn7DZQR/Fl/bb+3XG4 ZzrtbGFczWWqK0mcf3z19T//eTX22N/Rx24rgt/E2NZ2qTryUwlGeBcDrXCiDw3CeXD0y4xOyBqq Kj1H0ag5nTc2PaiCd+W2ifShpZTzc2jUMzDc9GBlIRNgFpQ/qBcYB5NUPioFFZyr9NJ2GxBOATs5 LBbOH/RIFp9G+EKwoMGfw5FtbwpZiqnGNtJt3RcUtCaLf7ebl9P688NWV6k9HWifLKPlyzRMSkjO C5k7fqxBhJAlUEm3wSZScXubFyKoktzW+ikGjFfdPu4P38C5Era7nQ+M79R1EKCjGPTUbmSo8hjs S15qqYBxUB8/6P867ylhT5QQ41ROlAlhYN2E2EZJxEoHCZcdiQCVgXRZG5yFXWOKBWTrjEdOpeYu zzLK3Nz5lRVnQH/YnS4zWvYD6zci5VHCdALTyXFaVD2XlmmED5jTvHCCHbXwYW6lSPWObFUk3Z7+ 2R/+AjNEek7wRoLSAEhLrCwav0CJkgEE0gan+lrGVMq2CgurIX6BHZhnA5BbjdAgiUlgyLgYwFXl 15DES347QCRyjlmJzZJpAKsAGZvkU+yh487skwcU8ELcOkUyA2oHIc3LKsh1oU2U1EjSrGFfLMhN IYYz8vwC0CxYYr0ogBirciqkgAulj/osOh0b9Zvj2QgmR7QtBDLdbUPMyug8GRhxP1NUbgMkeZo7 3MF3HUQ8H/CFYAyp86mhkKBgRU6MopU+d+t6BgYbATLRpFpNtqrLKnU8ubpNwaBlC+mkpJp2WUoX VAXj9ggPs2rIC4D60aZ0oGZOBVqDhKKmLA1Hrm5qoNbaIVMaQwKbnerQ8ZwC42SH+1ojCnajEfTK tYPAOqiyyKhKLg4If847rbYqBC3Kt8PdDsorGn4DY91kmVOZ65AR/HWOiwiCsJzoNLr17ai6gy/F nCkCni7J4bHQhnvvHAsxNT4ErBkBvhUsIsAyhoghkxRjAacnyIM5JXnfqVC1p54geGIGLbZdmFEz LURSU1oKLc7vUKR0kbUlaJf/LJGWwlkKkMdZPEjmLL4Y8DlAtxL++Grz8nm3eWVLPgneKedULl/O XIu5nDW2H/OjkLS9QGKODtDD1QEL3B09I8zNbGhvBlhjcqZGS2Q+c3kGNWTDUTs75M4GrOtUv0qW g24BUs+cUx+EpgHEpTpILG9zMUCOzB8CB5bazOKHXCQS6gWYxisxn9XxjRn4O2QQ+FH7CQSGtySA hjeRoeVT8jKvTa0xvHUwukke3eqcG6KAJDdF4J4ilLEJG2wnZYCdFR5Vsvj+sMWwEQL60/Ywus0y 6mgUiPYo+AvM0+IMCo+KLTQe8KRpWTA7KwIoHiiDSia6FNFPxiCgq0AsScnbHbbS/T4hnnwPbzVQ dGDgaS/vUIVlTs8QUjs+mE6Pg0n5MlN1+t3+1SAkAlzZipdum7LS4Qi+R1wizPDnwpQc00FeqEuw I0TC1KdKFCwQDsrsuAHTBgiLRMXCPX4YRPeYsRp0JCCPKpmL1OYCDP+gI0yHsxus7g1LHnaj7rKC 0xL0cEJfSnNzaaI7lJDLlRbmsPuU0SdSiDtjeBCd+X8MPIeD/lRlJXX0bVj5Y7CqLYxYhrKpA070 1ZQdnQYYxE6QmyzKHbqEfbm6dTRJL5g5AJJuhmzjKPuz6pRQG72VLmIcvc3+8fPuaXvvPe7vXx7s cw27ad1YaafpaX34uj1NtShZMRflwNzZBO6mJJqmeECff4cmNAMQ9r4narcr7YhG5OQmJugo5zUi gqgnUSOpP65Pmz/PCLvkEfiroHD9PUFkew9aBobOlA++JwBDi/m1sIs1Zx2kk83SxgwQy2HCvlQ6 SphKi5dq8mKPwYI24+Ge+nh51VwMzJfKOx3WT8fn/eGExejTfrN/8B7263vv8/ph/bTBmtDx5Rnx dk3IdIhnFFlN51A2BeSLTuLfIViEQSaNMwhyRDZZhehIFHfrB/18j6BFuG0PvSaZhkUxHu+moK5b GFzMCfqYCt0MLsyGE82W4RAU+zGnYMUQGERDiGs7DSw5JylFXiYwuPRTu/+00FQ0LTcV9Zr13mqT nGmTmDYyDcTKVcf18/PDbqP3iffn9uF53DYN+bBEhsuORwPUkv/3B+LUEDOxguko/K3jIIyPGcON nyHgTQQygPc+0SAcFxdUuYZP+l8s450haAedKIm5HnA0Pjm8GzxDx6NIezRzd4L92gBK5uNozmCM HaW1cBiEGtAZh2MIEpbOYzEeqmA39B3kMxrSqNDfsx9Tol5ZZhPKMptQltmUsgwQzVrNhirUaMjs R9bf5cHqkVrLGbXwTmY/G6ywizDuEduYK8Mjgi79dMFdGOJGl12vzRq7YFhi2wefXzhy87t3JUes 1QHnwyorgtpqqNYXBHicy+A4UhVbJXU7JLsau22S7ppU38nRel6aWxPRevOXc3zddq6HtwVHtbIa oW/thYBfdeDPMYngqWOZDaotoelKuq5uYE2Lvjw31UBF7JK8UDxB796Z0GSD8Ud8/sBwer3NmIPq dxFMnDjLnAoIWGmddsFHzWM3QW9h+gYcT+g6HBLFLKXKx4jyi6vZ+7fuOAYGiziu+sRXJeU+lL3W c+MJ+hPiQgZzanx9lUTvDmUV/XqAcyACINjv8/r9xdXlp4njmZbGL3jSV3kmCKYxWCHFSyw0xVzd yJxGUfPQCDGJScoFjViou7NTAPwk4sPb33+nkZ/4BB+gIh+uL66npK7+YJeXF+++I3dImGRsG8Ml dGtWjILV86WrKRYqWZJxSiC4k52b79GpZuyG3fB5Reo/i538Dp8HsDyPBSKoE96rd9YYLHcuC+cR mBMqS5uBY82ZU29sQNSzpwFFGlmRvgXUx2M0Bt1UItIJbJTlFCeImogNbJIk82Usy9upLnAh6Fvr NpWT6rWIOSAE5MpRUDRMEgSTLdH+2Y6Z6pUWmU2BoqOmZtOMivit3RdCoO6+c0LnHlqncfOHflMh cYkYedWxb9IVr6j+GuaoK8KMjzkxbmnqaVLAfWq7pQpvuGb4zNEKesBJgFBY4BxY9tD2T6qEalPF bKJ9QN8l6glSTnFTJ3gBYqpP6oXhBNn3iPQzFoLDDLzGEtwDRLM2Fxa4Xq5id8l64zd936M94nBP 2ZM8Hlw5QAj4p8ylaTflAArROHEVIbXvdEaqcLFmEmAmXXB8jakW1roMytG5lA/fQTbI5g2ZPpkq JHXyaVGYc6uBSy5WeEfrtnYf4vif4o/unSXvtD26rz/1oIvSVPK7kHZEPkDYd5/6ICaBBFNm7ZA5 hMLbk1es73f7rlhm3/41TqSPz+AbFD5h+ChkSRkW4HVwFVt1L17Z6s3VO++p4ft++/dus/XuD7u/ zROadr0X0j5Wm+XOqZiffxJl5G7wWwg9agULGgYrd0N1mCigbsncssSW6Fn+umV2nSN8jvNwC+fz ZBI3d5qZZAr2W2AGDoaCwSZLbj9Z0ZAVwZGK+cTG5dqR08eGvHXyzUtN+oUzwWK3FJbH8vG5kgic gBxgRYhxImUwgT4V+YAcQWApiarKiMpUSSfLL0DGEzvyB0Akg+GAEWXSAG7n5vDZh0k2SaAGvSkR h8N3+jaesPNaDfyHl+1pvz/9OblL/FJfFIxdgduJAnw7ATROjku/rJRPAvUr1uZG/FAoLcmUNts0 RUnFCS2FMtbHgVasKCkY7lzHfFuo6C0J9rkarWiDYmV0TcXJFkkck51e38hCTPSqF+F8r8NVaeFm dUhW57MVZa8skqRYjpiFga4urlfE4uXs8mK6Qz8kdCIo40tKDa75OQ2IK8FZQRXhDcES/u+M1MzD 7gdBNerJ1EBnVhIy1EbDnB7LBQqNNGeTW63zgSG47iJ3crQWNpWF9PhUlx3jTCmy/dTxVrFa2Dea gH5ha5EqC8ES8+jGcoVYMy0qp2iJqhs791RaCOYIFhQzBveZsQY1P5Rgg1R+OyKS1i7l4RwDekd7 TDpxqX+0JMkC+l5R2xDdj4gzvJyOv8AC0SD5Jral5qIouweidZbaF+E7okJ8qmDi+uEz3iwW88An yPAVkXn+Ykjw7jPVHcy6YD0J3l149YqYCVAAf3FcxQyCEDAWE781YNPj+6aVLpNRfswSkikS5o5m WejpFKIXXRFAKFfl+CD13Fg3jq44YEwQM9t+x9Jvl38AgeFuc7zAmE/iOE+mkeVCUsi22NvGjyaf dNSvhdUFrxOJP9lDGm2brBEvLqt2yWr/uPX+2R22D9vjsTUS3mH7vxeAeWsPfzUJHyeeDvsHb/3w dX/Ynf60fgml6zsRdtbSgYfRQ4c4t5B2pwrfXeMtgEFJY6JHaJJW52SgSqavrwBkZX6Y4aLv60YC lBylCBeSfJiGWcyHQS3yQ67fr9ghQQMeLCpnMnS/rBq/DZ28DqWxjp/jIo9Qi8YQrKmW5e14hBaP ZsIuN5CHVINbbvizUnM5qKI4+JTTuSfiIhfXJIzrgxfutg/4uwKPjy9P7SnzL9Di18afOQ9fsKc8 fXd9jZKYHMtQyCtOOswfHLWVQ64YZPBO+KSv94dU9tjeJ3XqoQ1s+BMwDTpQYDWa10oNCBJxbXQH BQfQC/daZshknC37d2VTiVfOMabp2+U84ZINv/WbwprL7ppPzl9v1od77/Nhd/+1f9qrXzzuNs0w 1uPrbsaVeb4ZiTgnVQsmUiZ5aE2vhdQJ3tOzpQe7OA1YnJFnKqDmeqRQFgl4WmF+CqzlP9wdHv9Z g3HDyzP2pYXwRs/VjjyMP2z7sX6VpqPVT52aOdkMkgSwNHHsM74gNXDImBVX6R+XwMp4+2yPrh+a JBeilomcssuCi4kr0oYAo5mmGzAFSbak4xpNxtRtyltiiKp8akG6X5LIqzYHt0opYu7chDPfuE9H MGX/9EsHS8bAm8sRKElsc9wOYj/HxNfMKoJ1DvDnrkJ3PREZipQbXyTIBZzYAib1fTk6lqsN0y1w Z64zsAvc/MhIp9EZN6+fHWc6TxUVQialk+nCp16rCdKaJ4F+qApht9s9Ilnxu0GMzHS+Ppx22kI+ rw/H9udirKYgSHwdNm7ev+kfdaH7qOBPLzFXNvXPy5R48+3BmON4/Y0YK8vyiVACkMiAxCgaVtbU SEeTKVjyW5Elv4UP6+P/c3YtTW7juvqv9OrUzCI1kvySF7OgJdlWWq+Isq3ujaonydykTk+SSnru yfn3FyApmaBA99Rd5GF84JsiQRAAP929//T5G6PBw77aW5MNCW+zNEvUvKd0mPLDSCaVgRyU/hq9 PGrWHhy5cHLuRHU/qBBnQ0gzd9DoJrqkKJafhwwt4mqq9ACwCvqmDjamhL0qnWcIS7SYU09dXlBq K0qHUDsEsZOZWf7HwHj+4TIhQL59Q0XxKM/++fW75np6j1FXnDGtcSfvsd/Q52L2CTTHBwmYpwum XZOm0XunqOrqATYv3zCfEvjyTv0sdSEwHBr7zbzWNC3Vf3z+8w1K7U/K/Bny9OuloTyMR7QvSCgJ QjY+7Cpi0YNb2SuXzxNUTcpo1cSBb7YnxyZa3EerNa2AlF20KtwCZTHrGzJaDmqX06XubIPfQ1eD +KrPAstgu3bQrFWBGBANI2M2mX7+8e839Zc3CXb8TL6i3VMnB94g6PVBsutegcDjaDLUwldliLBE M2B69NxeHHnM3uzpsZGr7hpfBlGPC93B3+uKK0uSQV7wpqak12A8wyDLxF0mLoNpKamGnXiXHOcr +9N/foPd5en5+ePzHTLf/akXDX2mfWaGTPdL49HUTRz4lWL4kFmR5ecf7+kHpvjxLx1+1UXSXN7X lQngOi/oCusthfX2+geJUuXZFdxi3e26cbbYX1yTj32vGlg0kNfdv/S/EZwIyru/dMyDD/xHoBNw H8HrWc0qYgtGFlGdXpfKMcyELb6eFoCj7O6HdyeRwv99i/HO2duBMFyKoTtCvx1rOEE4q4Ni2GU7 E804CmijEd2DuOHfO5DjUJyyXW7Xtub9e0CKcfVZ+rh8LrM7aVn+jwdamz7NS0sIHTsnqyT0FzRC LopzENHQiOkqWvVD2tT8ZQ+cRcoHFKN5o8hEbheRXAYhC4M4XdTyhOrLrJ3dzI01aFK5jYNI0CiL uSyibRAs+HIVGHHbzdjaDlhWKyuE2wjsjuFmw9BVPbaBFUfjWCbrxcoOXSbDdUzEKLw4MkYHeym2 S3YHhGWkg8bDItYsBk0jk9ezsqLbLAjWVoWSyKgsdTiZrMHAYlefkLHXFX0QXURMU65kzsLMoEV2 EMkDk6wU/Tre8LaihmW7SHreJWZi6Psld+1gcJBmh3h7bDLZMzXIsjAIluwa4/SE6p3u48+nH3f5 lx8v3//+S8Wx/PEJzt4fLC+bZwwi9wG+mc/f8L/2mtaheMuW9f/I1xpq61Mc+IWKsOgzsqUmgKON QMG7KWbLRP7lBTbAEnb6f919//isguFf54bDgsdSLc+MmEzyPUM+1w2lmqoA3YTucXI+fv3x4uRx BRPUKzHlevm/fruGUXxBTbUVc+eXpJblr5ZYNlWYqez1IzpjQK+hdSJw3uq9aZomR9vqZ/w+jXb2 KsDbq/C0lqAZbp5ONiUSDXaMNDj7ghHEMFp2rlwCS0s407qUuRMXxYnFW1cpkdPUQk8+O9hMMcwp qyRG38BMOOa9SMFqZ/hCgEhdOzHK0tanKgW5Jeds6xxWFbrVVxbGvDtnqHQ7NT4e1NTtRIEyFbnC QFtYSugEcYJTxrLFQro08pukUbZnRIcD8jdrcnRwRG6RyIy/pIbGwP9kzccnOVm10VW5LmOnajir wW9rCWsKr+c7ZzSY0EhWNxxOKKuC2EqLNnE8izVlCCOPSDDiweom7jNNMnDCSlwjWJfb4OdPplYG Yc3gxoJz2IfcBmLCKAB5wwsMCb0n70qjMp2r1fBCx9osZud1deHTUetfRTvK+VUKnFNfvn/+429c ruR/Pr+8/3QnrIiEjP3Nipifw08lPN/QKSNLmcJEmPPYHKiU0hzWIoO5t2LHA2gk4151SIFmJ4Pc R+7KgVBR175QUwoWVZe/8/kOlN1mtQgY+jmOs3Ww5qAcvht1bLrlKEC4jFfArOozJs/2T2vV972v wgDB0aKGVY3tqitT41HajJyvex28S0TMOFC0GcojcB4r8zkoS9gdb/g72Lh7ZXeLtRytZEYHqX/4 AUx7OBphVm50vnMGO0w7LJKaPJ5ilHyLZLXhPT6vDPHW0wKTNWw+CZ67kyNbsijFozu3Jihl6lSV ScGapdspYQeHL0Lw2ZJoIRb91NYtnyQRaUZ2UIKd81PJQ3BmySuiQU15Jw4rUfZIn7uxoP3pbd7J E9Mp+/L8Nox9ceVM8uNJXLKczTmP4Szc8xA1WrSQUrTnjEbpL89lym4ydjJII6qaqoaLXl6UoMYr pop+f3klV1hm6DX0vYxjz16rIcjWZ/ZgZVq7yiuYCVH8dh2wOQPYR0tAueOwm7PMSqIegc89Geok w7Dj+mx9O5NKdCYLBkOz7qou+Ulb8YnixTZgZpfonVnrMjTJq9MaZWrcR+zs2/LVZC3IkFJItrYt ejS0LCRFKU9OkKkJy7J3PFAXot0XouX7DFdjpnNkmWzDZMs/2YJptmH4yocp6wSv8Hp+bZadmiw8 9lDVjXzg++fsWQAv+aMju2rKcFmFAT+tJ4bFaxO7z1t+L0EgatjrIiVjjU8N2UQSIldTEoyenMOR wQXybieI+h2pqOp2SOojgzOitWQ3xwdqZ6IIlpmRvADFblORpRjU9HBA04Djw0w6hfzvkD67mrrO jD0ryJfqUs6Sts1ONjgVEPgqjVPyJILHwaKn2UC3bZRIRHMBcrzpfRlhXytPlrE3runUKbcu3YRX sT2HLVN48jXbIq1hCtuoydEiNvEijqI5sUviMGR4lzFDXG8ocZ/3mdPNedIUJ+nQcOMb+ot4oPRC 5iBMhUEYJg7Qd24Hmy3S208jHgYHT2fpfY0WdBWpPeQuZBDcKtz6VcoEV/gr+G5MxZk8GzGYFGUW bIcIK/W8vkq8dSokuywMel5uRxUgzMc8kZ4KnUHMlDKjpfT45gycGOCTjNqDVg5d+1/3LsgD2+2K fVqracjmDz/x8T5P2ElE0wxjg9svSDXNLMIE0sqmydysVbBHT0A8wGvttG8nqXmJCTNTBkxeVFk3 wWmb08QWtgAqC9tJGLEpwr0dG1cBsiSeIYqm9FD4P+sKHG8P1ClHqwookIguoZR7EFzpc3hIbTA0 K2uAYLxa4tC+BrkSI0oEaXQT29IvEuEPOSyNNRZ9HIeb3gdsh3ATizmapInjBWchQ2aHlreBKind ViOkJfmRw9MBYx7lLmdyT8vtOgjndNluN0HA0mOWDh/xZuX23ohsWeRQrKOA6aQKl9U44FqMyzNv /zpylIncxAtOOhk5WgzIql614DtbnnYyw4dcaSy+OQvFRJEP5Wq9cGaVqKJNNGvLLivuWcWvStKW M6MZpGeNrKsojmNvB9wnUbi91fZHON2eJNOoPo4WYTDoz8sB70VR5sw4vYMt4XKhyt4Rg11zFfZc 5BLkyJvjrCSZZ20rhtnXdi7W3IRLjtuIo4t3SWj7MFyIsnryoblQo33kmhQAaQnbGS//2myeAPSU p2T9FWyeUYiiglVS7p3Yu2wBSS4T3ojD5vL5urk8rbRN1/ALodp0TZmshZkcDUdiTTFY7cps9htd jyRps6Erk3A0Lq4r9Q4G27i6zas6qV1j+HFbWy1nukqkjddUFonXQSLiunXYfWXEtVd6tMzSHCQA 6zxRdhtYbE+UMDN5ApIp3CYRDwik/Awi6gQxEhnOWXdoMlEhKVLEeZbYjWoFPSIRTAuC5GiPG228 YQcRsAHt87mdG9PBQeXk5oW0ASPaSu/DrN2FLpBcRaVtUA1y/DbsKcH47lAidYFFijOjkJTUGe9f Y1eAfUDDZrDfdLgUYbQK3d/UVHykkRoi0d534XdMf5upZ9URKX4fzosSSie7MGUZ+UpLHh9SQR/O g4X6MfXejyEUhi2n5rOzVefhrKJaVaNiaMUD+3SKgS/FYmWLPJPj1PEiORFJywsX51ZTPd9zyffz K6nsi3pg6PIZPa1+mQd1+PXu5Stwf7x7+TRyzW6pnF31mLLBPIFqzQH8hWYqv8fTSVQ0O0fcxDgQ cCCwjrfXUC8zKdzC9uI+K8hkt0DRxet2H7FSl8VWAs/y7TJgC0iSaBXxkKCu7zaS7jfRMmKxMmmJ dGlBzkBr6wGXZHsZjVnIlAwL/h7yJf+SIECJsL9R/KV9K2Z5KAj/ohZd5roU9qhPT98/KM8ZRoWk EoszbzCssk/b83DI4ZTkUd+WyMXY03z7+8VropFXzcmOhog/nX1L0/Z7fBurcB66RAQDqpAwAZos lXf0PXGZ0UgpujbvDTI5Ujzj4/af8XXeP58ctzmTrMZn1jyxMzTL2/rhNkN25r0TR1Q7HFr95vNJ 0wnus4ddrX3TrrcRhgazmhf8LIZmtfIcAxwm7lbuytLd7/gqvIMT2IrXAROezas8Uei5Ipl4UhN1 qF3HvHndxFncQ31vs3iNmgmHmnoeAWJi7BKxXoa8QZ/NFC/DV4ZCz9tX2lbGi4g39iQ8i1d4YAPY LFbbV5gS3pfoytC0sA3f5qmyS1fzwWomHgxKhSLFK8XJrr6Ii+B1j1euU/Xq+HdlNHT1KTkC5RXO S7EMFq/Mzb7zlWgtLd5lAVYVfOTGEpdHyiAqQWLrX4FFylFToq+c6Em9azkJbGI47KN7NuWhzTnV JcEH26f/ipxy+HhK+9XkCVOnSJFwkMzT7IJRtlsG7Mo04bJTj356AXrUccFoEbEtv+Db9TVnxzOx lOKgbqe5ZjSwgdftjs1agTvBHg2vTBgmjfpeXvvhkqdv2efIJpbHY1YdT4KbJBLk2pABcHcbX8J0 sb7xPJc6cTQSedyjMsPXt2zEefUpqJjM5LJRU7TCK8kSTy1srrxx9DJznkOX2K+RXYGjqC7kXtDC 7nfwg0WMapmptsxafKHzIuBkzZvGmHbjWiSTNss4bZ9ZRMi7pZoWx00ZB/1QV867jhoW6SZcctfJ Bm7zx7rCMBAN3pO4me9KQVTiRohZ9MGwO3UdfbXI1FGWcOSBxaZjvxzDtI7vh12WMYJbv9mstwtT oRmchItNvBiaSzuVTxlK2GVXwbxahybi320bYbwShgp5TPssrjRL6pSP/35lUj3gVk50uXIi77LI hTAITYOB5hQ8Q/vu7XbeJkU2EsrgxtxxBOhLho87z3J+yEY1jZN3UoYBJxJqtM0OpwJH2DNObdad /INkNtTXGcZedOp2Uv/cGKdGFCVeKY75+/sl2cerzdItv7mUZjJwCDu2atTbuhPtA9r01CldtzVT KrbBKtKfqrdOyLReTN8zwS4g14X4rc+mVtoXi2XvIdMIAhQi2iEN5SX0XXJyyUkpFkEwWw0MmSsD jpPRGtYmz+qi4PXKgt3+UgybkcE/HdFlQDbchGrLfDm42itF5E0pFaT7hLLLktMgK2gfLJwCgaIW /tqhR6nxWnH5aTAjQ+NNhDTIqlAMtJzntSIHJnX6PI6agvy3+g6P7MQRjtRd/cS/aRwoTS7yXSMj l6qfNSAk45PDMAMJL7JnCdrEcF+v+xWgT2aSC6J9cqp+EGVGaz1ShkrCsZehF7r/jNks101XVxhG 8aHVCp+evj+9xwccZk6GjsH62fdK9TYems621NIeZ16ifsHt92i1pt0FwkdVVzpKDBu3rxoO0tJo KcXTLIS5pkr66OGpKExzxtqoFywxzCT6kdjNTLNzmfGaJ4DuHcx47n///PQ8V3maRmWiLR4S+1s3 QBxRAcAiQ1lNCyJkl6U3ok7YCfZ4ULlny0AHRfQ08YDSV4cyq0CQ4VYTm6tqh5OKQrLk0BaGOi+z WyzqyfQ0S73VEBWGKp4FJGFYVSgYr2sr7d9OPcLyD1hbyQtkJDvet4Vk00UxNWTWrsBfv7xBHChq FikPEuZRMJMVyJ2LkDVVJAz9bKxxAAriJe4A3lkyMUwjHToc9L7PInrzlElS9Y2HfCNVuM7lpu+Z qTJh82hhPkaft6ZiM5vA204caFBYHvfW2cM37B4aYSuQKfutInXQVaFiHc4/KZtpJ05pi8J0GK6i ILjB6a09fSD1Sh1T3OhAYIIZo2sZzicyLC6P4cLRj05hNsiK6uSMQbV2J27ZUuG2ulYt9p5AkoDg TX1lvx9ypcE2dc6K362dybjM+ZubN2WOh/G0oM8ZoXUhHD3UjaJLF1VuYkOxiOwmX1Yb1JbEWiO1 dwJa2Xz2XbAmyHzvkC74dFRaH9zy8fxV7/d22ceLcdecrV36+vHuPSNDXEfmoUqUOpwVi/G2HF8H WGp53boBGulLdq1L2ogcIhoruOw1VJWvetO4J/CnITYbipRLr25oxGGRmdvCsFw5UKqMPdvZbNXp XJMDAYJnqN3gPLo61bBbLB6baOlHXF/zGT5r5BhXfd5j6hoIFtb5rRk5TUFDlJoZGl1Tsn6b1qHB dk2vy4BYKjMxbWz+9/PL52/PH39CTbBwFbqHqwEmckziR2rRJctFsJ4DTSK2qyU5zlDoJ/d9GY42 O8xzLIs+aQri4n2zBbRgE24QZVJPwXCys9zzITcxxnb9QXtDFId6l3du05DcJOwb9hMq7No7ZUzl TkcNDCPgBiTASfLfHy8f/7r74+9rdNpf/vr64+X5v3cf//rj44cPHz/c/Wa43oD8g7GwfiW3nDg5 oLH+yy/kSDMMoayiRXJxfSxOMzVIanU203GLdWhsXg0InPdZqYfVotXqDojSoPemilBE5iWIm5Sm zbfH4cx+wuf2BfY8gH6DgYaue/rw9E19g7MLV2x7XqPtyIl+4aoWOuYMHHcPR/bx2wifG9rV3f70 +DjUdGsArBO1hL3JaUGXgxBOjRaAes5hyo7Xvqod9csnPdVNI6w5YAe68c4i2hbZnXjbWAW67344 kwPDYnod764sOO9fYdmd+FiI9oI4dcvCGucEI/MCxYQwvALphSUTHZdy4qaxh1VQpHkaNEcYBwDX 9PLph3mS0YTLml/aYyotABIxCql9rv7NqkPOhmpFcOaUJJW5h+NMqlswfqQO/eKE91QhoUD43xdZ 7+i1EHJXAguq9fSkWY2eGZQKwn+cy3UQOeR8n58zt8iyzznNG0K96/GniOqLnqsHYESa8fVnPTTO QMAf5wEgpKJrPMbAGLzPdiBXV2TrqGeFJMwZvxGnrUga8FDuFqgR+QDzC58BrLq25q79TPTWq3wo WYtTGgwefnpfGKi6xrBrqbKRd++fP+tAPPODMOYEEiUGC77HVnCrtsWjND1uTQzmzqmp+P/BqLBP L1+/z7Y3dL1///z1/b/ZqkFDwlUcQ/61J2DwPP1U57zCo8t1sICgZSGLAf5nKQJNiN4rYKmqcN0y WbJzx2DomMd1oEHLpIkWMohpLRCRfbgK+jm9xADKYk5P5HJTxCsPsLW09TgqxAzYEFRgNpAhjyZ2 2yqMXI68fec6Neue8KweSgZQr5LR0saudajKEiW4iqc66N1fT9++gUCjipjt1fom7qLfPGRKsAWG qc66sF28lhvuRlTDWfUYRhsnV5nXvUNCz8u9eVhtlEr9FZ9kOEX9+PPb05cPjnWeznVusDXvqYDr v8itoKGawM60GCWJL7ydoK/F+lmyrsmTKA4D767ttE4P5z59tdX6FtpXHX1t5jTPlR4VsWjizWLe EfTT0U1UV4SzFrbJqlvFC19NukauV0G8ZnoGgHjt7VGFb8OAT7gNuasMjb8re668uU2SDet7QqfJ SDSa8XHCzodm2lpnQ+bMrUWobeGdr0tNUM6bR8PJYhHH7vxtclnbT/spYt+KcGkioozqq3m1tG2n 3N2uLpGnp+yYZLSyNQ2UdSGH2kuIe/lsmwvf4AsiSvaeySSQZHyXUEZLe22mCA2caGPhhTuKXTmm A5lpIlMbu5by+el/qVoJsjKCDHrZsDvcxCJ9FzoTBzYm4E01KQ/rh2FzhAunS6zEXJxEwhEtSE9P QBysvLkueJtGysOtE5Qj9hWwYeNfUo7QU+0sWPqyjbNww67OdMQnYQH1koM4U5lSEeEYzsba0Ci+ KFQ8zFNp+o1nSxv08kdWFh13b5Em+MApTGnOTsJYQbiB7AxZ5U76R617N0pVrzf4YVSnYdwG3JuD Nbe2maqqUVuTNd5G2BEnDKE3Kbc/jAxyZ79fZSpLiKWoxIw4Jt+9izYkepYDUFWkCx7Td34w7YYT DDj071CdS7ZxsLWz25jNYO/9Y/uATizTLH6WDhtTuAmW7OAY7FYfK5bI3lLHiuSywcREy24gSBRv PXF5Rx7/Rj5yoEwTbbj8PdL3tXg16lzKolusV9xMtqqu7PD+j7Era44bR9J/RU8Tuw8dQ4L3bPQD i0cVW7zMo4rSS4VaLrcVK1sO2Z6d/veLBEgWjgTLDz4qv8RBHIkEkMjUv5d9VBTqAO101/aQFmKA uNqJAPECHAgcDwW8EMuqr3aOizYSV9nQt85L5+7jcZ/BiTaJXHQKdoNnocJ+KaQbItcT6ns4SY8o 2U+qhUh38Zw4n6cdZBtrfoX99INuHjD7h9kNcxo4tnBPIdBdWxqQEoI/QbiyVLZlMOiXeTA/eDKH j9UNgAivHIUMy67AExH86mrlGILJxpxWU8CxLbzkgbbLrVxd2UZLgnxMdkgcgblkg6/oladPAp9g k/XK0WaSZ42FPkwtWue09zc9goP3boKn5BaMpodHC1se2FS5wp23izwhyXE14crkOYGHG+lwjsUk OBbfBazJB6oWjwOsQNjX7EvPDntciRV4iNVjavfKQdf8GM0+2BwXh+Lg2w4yVItdFWcVliNF2gzb ZK4MdN+yCB899SA/sFbgPxKX6JWhelFnE4JUEyIl0QUGK4nL0u1xzXhQuSxw0BUFHYcAEXtLBDEO QoyJ3ZuJfeybGWDrACgIkjsJEfAt38MqwjAbM7OWOPzQlDja6k+2SQ8I0qfgop5PcAxwIgOADQ8G qPZ2AvQLNYyQdq6S1rFwETQkvuduZZrVObF3VaKuwlehm0wT0rWV72BULAICpeK8HkoNUCraq2WF bhMEGC04RMcXpW81f1lhTU+pSD9TKlpw5BEH0UEY4OJTl0HbsqFNwsDxtxoCOFyCNGw9JPzwouil uHErngx0QiHfAkCAdSAF6N4NaRMAIgvVtOqWOdC78ZF56EXYwt5WkiPDNQFOBsWJYBWnq8U5yfMW XfuKzvHIDUWP8oSWvzXZir70Q7oA4x1N6H4ZO52RlgDDPODQ9aXJrbXECe3tMTUL4k3REU/ECjxc MFJJhc8ywFx3UyuFTZMfoh9K9ycu3Xsa3IFemTzHD/DHugvTmKSRZfDHKfIQg50r53gsfdtCxEJ/ GGz08ymwqZ1S3PmPIWGylTCtMjtwkCmeUZ3PlZ1lCxCxLWyrJnD4J2Khogk8kLlBtfk1MwsmIzm2 cyKkzn1y8Pxp0vzrSDgmzxjgIFupfhj6ANeO+qqii/KNnVRikzANb24He9va1LMoRxCSEBNLFAiQ uRTTHgjxtb2oY2Jtj3JgmTZV4Dp2iEl1CLam/3CoEiwO0lC1Nib/GR1ZSRgdaRFKdy2kQYCOaWPH wSaYSnkKnSBw9jgQ2shOEIDITrE2YRDBLqslDnS2MWR7nFGWkspNNOKqzOPX+BfRWXHITUiGQsrt l0iXVVWmKMSofy7NkHehKGb5K7luTvFDI7o6WSFuxnxmIWC5t0CpK1Y+dmWunQOdnn48f/749tdd +3758fLl8vbzx93+7d+X969v8l3qmg8ENy+qrIF3ic3RnKHJ9Ujf5IPYAtdbf779XyCk3djrRYI0 31UtR7FHy4+wRudn+jjgWQgwu2/Fav9YFOyl4Eb1l5eEWPLZDmvz609oyuU9K5ZyZYLtkjNN20zs Ye0mB78XP59SNFBtVp9jYgP6+9/r5elvfz59v3y8DguIPSWMBsrRJsJnXW2IP/38+swiERsjquap 9vgSaHHvBDaue7YVu/9pPQ89omKp44GEgaX6w6PILqm8yJIfsjB6GnmBXZ1wxz0sz6kllvbIRWBQ rQiuNPmCRKAr5nasMcAqx8HW0xUVjXlWorhRYy3ELk4mhChelkDyecpKJpACXbFlXxFTFfn8xpL4 mNY1g7Ysdhm1rLHDMdZ8ie1MeifOZMP7IpFD6hCqZZ7buC8SaQkDKmWjU8WQl2pfAjTua0H7FE7G 18EV9y18N8jHy2S7XoDt1WdYuYxZqaGrU8PICrS2AzIxV5Hf6mxUYL7zkRMNvmNOs8h7MVX2yF4B oEFAaRrJTkOgg9RTC6e7Z7q7NDg5GpMd3SFYmp2ymCe701HK4dY/MrHPEkTS9IUb+BMG3D+EtDOV WTjHgpgp8W7yLFV+xTt4gYgTecxhMb+HPpHcdFLaAAHIHcebzkOf8ONwqcXK1olcvL04HAao5dmc d1mNcnm6CRXctdmWhw90fhGnGo9JIGqWx4q/2l1pVFE0LlVVzMBW5tDHqJGtZjEbZeFUTGaumOmB 08xEpYeDbS8XDUEfTwsSj6n82IICvuVujnHw6xk46ApcVo6HXmmyMhejM3GB5DZ62ko+O5AxL5wL h2k1JLhXHFb/yqMbL9PHUVDtOKoVRpEm/BjVNLIp6Fp6NtIG4krD+n5GzMvSuu/QaIbsogjbpi66 6dqd4mMokyq2Jl7O0cTirm5czAY7Vx4eBuPYlEO8x0bclRMed47srXLdj1VmKBNcNTA/WCvfjQrQ dXSv2FjiXLBIb1YwToYw9AVFS4BSz5GXOgGr6T/Y4iWwcN3UkH6nPjLHmOb5UqYNJil0Rqr5gdkV XuSiEW/mpCqTMiKuZTLimxBiG1qAYduflce153ieh2dgsHm5MhR9GTmWITUcV5PAxiyNr0xUNPp4 a8AKKp5oKQjaGsx8x5BbGHjoGITjbC+M8G8A0A9wb5NXLlAp6XJ3myv0XewCUuHxDf05q5u/UEzk YYJc4TFNvEUDvlUOtwX4Ba7QEH9L4KLK7Y2RqitAApaPj9ntyd4ew9BCL7oUntDQAQxEb9EFnlOF jbIPED5pfnWkgZoqLECL5oxUpydVG6P23zJPrzg8uoJeFQY+tqkQeDQV+4rBTYntyw4dJdQn+MWi zORZxPCFG5qqyiSqUComaq0KZm/V3iPurQVw4y2CwiQpvhqGty9XR/EKck3oRvW45rNZOVUn69Qd WAdvPKUVryw63CSpSxaPfbifG4aDAwgcZrEZmFmz4veCnYLt35++fX55Rh/UpeD2nmprcqRqxhF3 leTTYVbkRDLnS9q7/4p/fnx5u0ve2iW++3/DC9RPL3/9fH8CjU/K4ZcSsBT5+9OXy92fPz99gnes qpOqfHdOKvC3LDQ6pdXNUORiZDTh+dUS7ONMWyyVUiX0T16UZZeJ/l5nIGnaB5oq1oACfKvuykJO Qje+eF4AoHkBIOa1dhDUio6qYl+fs5r2MuZKYimxaXsp0zTLs66j6rD41JbSWewq7nKgV8oaipJV AZy6aiNC6g3Eh/s1m/GY9bGSdW+n7OALHcEU90OH4Pd8kLjqkzE3ph1T/KEj9NCuOu+nwfVQbZsy zPsAuYWEOKNSNYqqVaOuz6MaHaqs2XZPz//7+vLX5x93/7grk9Tog55i56SM+14LGwlI6eaWRVwy iJd5DKh6Ejr7XFYnGTIcqRD7gDl6B7goi4iIWt9CdERDOiAOaUPcSqYd93viOiR2ZbLuAwGocdU7 fpTvLV+rYwVufu9zgwU6sBwmKouxxRbAZqgcQjxhNsGLC+b/wNCYV1x76HmFJG3kSlb3IDLiSUui kBndLLv2+WTy0X7l1NcmjSVOW7ortPCSGBjgZuQrj775u4JsW2FhWw+FJ8IagW4WPA9tnhacCHVo L+mKktBDiu8OoaijR6ygxGMqXtl2qW9b2NgR2qNLpqSuseLnwwzxHOPGZF6HZrMXZC78OrMgaFT2 1tIXCdBxHxv88wtMSTkORD2NmuumLfRL+X0z1uKFu/KDOQToZFKbVDIhrWLuFUKHDqdUdJIMpD77 oE08oP8Ri/7jF8riSVXxg0DRpu+zasSF+1zNs+YIQOJIH+oYrp2qom469IIfqstVp3NTUlkl+eGA MromOee9WrUj3AJAXE4K5wb3hBIb+BgzlK+6+lhIS2oZOmpuQHiLj3Dz26n1ZF0xVhUaExNym+TA W0CLkyg4gz6aqLnNUXU03eCQ/sZUOlHRW2nSYIG3dRBbq2zAN85j9rvvSt+huP+gJDwu2tz9iRjL j39PCyG0B6UTU3Y2neRKqzWJRuBfL1sxzsjy9G9jMrAMKmhCdUrMQPJIF4uA2FE1RbCwQcSmg5GV 7mN911t4pGZhLsiAV+uM/i254wr2p7d3qplcLt+fn14vd0k7fl+cWSRvX768fRVY53hOSJJ/CUYX c+3ynpYcF3q1AaAtXRUTjvW9IVHfpoXeOQzKjCXRiZ2zIH/yiKdoUU2sHuOEisrNFpJzKwi8gvCJ DQfh5nnOC8XsLRa0Gu7PuyE59qn+MX2Tn4em5R4IF28+Q/Xy/P52eb08/3h/+wqCvQdt5w66/IlV XtzRLV/266nUSsxWKfQr9QrOGJtEsCOp2KszrOVnTtafm601DXm7j9VGVZsUvJOtYmHeulK5hLw4 E2fvIrtUjEqB80g3OZo0X1A7QA+GZJbJxrO2A38DUe9RNNzgk1RgCyzJxG9B7l3bcnG6HaJF3ruu h102CQye5xqS+jaurIss6EPVK4PniOdOAl3ydr3Sy8TzxQfyC7BLSejLh2ArRDXLBPUaNTMkveOV DtKcHEBK4wDaKhxCTVAlDh9P7JJys8EYh4eMrRmQjUlkkBiL9HBtU+IJUDNlgUN5NCQg6D5EYjB8 ULDxPYGNaQgLOk2h4ZJX4HJs+WhQhFzDWwORBX0KtTJ4Tik9l5sBvuQj9KpAhULWB7aD2gFfGfjb FY1Ot5DI3AI6QYUBR26028xkaPv9UPmbcrOo6+bc3TuWg1StiqkmZIXIxGcI1ZFirFAGetZWIzEW PzCmjgj69EgqPUAkAc8XHUVVT3f7tn8+wbEHC4u1VYLAnBb7YhDPoRYmqmLavux2QYSCMLrRd4wr mowZRCaTQpWrV7dGCyiZrCiAadlb4O1Vj3I5lo9MqBnYyJ3Bt3OnbRvj2QOylT/Dbxbg2eQ/aP4A 4IJuAdH2prPIIchc6Uq6EiICAXYQmEAAuonf9XR6vx9KTwqtsiLFvorTHtnvLAhcm0gRMK8McKBK NzttWeSFtqdlHF0+q50Gpc6wc+j7ivA7dgTwMT1qBvBmX0C0wyjoeric6YfYIehTEIHBw1p1KOgW C1HFh7gnHr6sDxA0LURfswkcgY3MVgYQpB4UoNocqvUMdFVzbcNTmIUnj6PQ9Chs4SmPDrHiIiGO 2YM/wmuyY9N4HRt/jaPxYQ3TOzEhQYY2QM+1ju1aAJOHG5AtPHQBiJxN/fFUhZ6NdA/QMdWY0ZFN AdBDdOWiiMneXWQhW/sGYMCECqMHOB3TYoCOTQpGx782CAz8ASL8gB4iIoDSQ2wrxen45J8xVGqA nZyF1zcylBPhegVDtvYIwBCg05QhN3otChFJ+cg2/JHfEqSpQAcKvAgrEMxSvO2RxFi26lTHY+i5 SJcCEGIzgQEElYsc2tIUhzYGPxcxT774wpdOGpRs+cqV4OGKhCNEfjxapPqF30HxtVOkV3dZQ5fV ++GAtiFl7GIspPyI5DgfWepnhN8uzxBnA2qmnaVAwtgdMvnQkVGTZGRRIE01oxydeugmom2LRtJY saLTiuxH7ISIQSOcJF+HAmvCrLwvaq1hs6FpzznmAJ/BxX6X1ec8l/NKDlnXPai0gv56UAtImq6P C8whMUfHfax9WRUncVnikX0Bb7smLSDqoilXZvihVO+h7ZZYGAKZjph9U3cFGt8XGLKq1z4/40Fj pYyyMksa3BsNh3GH6gx7xEMK8mFa7QrxSQUj5uJFMlAOTSlFuuK/tYrvBz90tOampWtDV4QfMjmX MaG7N3l7DuRTXCoGthJ8LLJT39QFrsaw2j10MYT1MjIU8IrPjA6mPvwjloI+Amk4FfVBDP3LG6Lu CypeGq13y0RzMSiimdJBZVY3x0ah0TabJQdChR+yGfCKoJMT0G6sdmXWxik5y9FpANxHrqUklfDT IcvK3sTBZyHtZFPoa85QgjmI/EFV/JCXca98ZpfxiabN9CLpGnixaiqigcA+mSJqIN5gwYasml89 4Jovx7oCO3QArOnk6QNCJq7hhXHZiLNPICptzpJkdQVx/AyFtNkQlw/1pJRDxWaZpChRstES6etd vFaFmQHu4A21WDiyVJOGC5YYBXZLRR90uhQRlMvkgmo+aq9T1lSRHl2TJLFWb7pG4GGfOVj1o/jC nBEbKbwB/YX0CHOuBqGWTDkPWayIUkqiE4PqBpnWPLQSbanGvRA/rTKPvj0Eh477ArMhYXlXcTf8 0TxAAZKqJtDN6/RQHBu1tlQY91lmGgbDgUq6Sktz6MZ+4PfohoQQPu10bntHbjYWI1shFcUcEFkq YyroLDFk/ph1jdoCC8389Y8PKdWudOnCfQecDyN2T870pLKVomNhyt/qpRrVVVnUcV27bAus3Wfm xZ5DcGUt5n0NKYQVyMIiFZIvbI13NTQQcxXq0ByS4gzWjFRR59aT144DfDb7kImq8xMWrL2DlSvu zwdRgEkhcRhbXVOxmGTnOjstBrvLDqB6+f58eX19+np5+/mdtcV84S6a40ImacYDE4F1ZtGjgVeB SzJrkavRDPvz6UDlTEnTiz22gLuSidV+MAwZ4AOxeYaVBFyHwut6raEgWhVVzeliANYqZfzwO5GL qgwqDmAn1tS7WBrq1yH49v0HHsJGyiTxg8myoFOM5TTTSGzr0KpMAgs4x7X9Setb7jOJ2DMgZTva DtnIsi9D29YzXMm0zEbNkoNopDyAuzD2fY/uKrVcIT/mHbria9DairPnjOT16ft3fY/HulC0XgEC s1ISj2FZX6WVWtmh0neUNZWB/7pjnzI0HTy/+3j5Rmfo9zuwM0n64u7Pnz/uduU9C9XYp3dfnv5e rFGeXr+/3f15uft6uXy8fPwfmulFyulwef3GTDW+vL1f7l6+fnpbUsKHFl+e/nr5+pcexpj1YpqE 4qk1pRWt9tyUU48gMDaGE2U5NKY5CelH0cEnpym2XaxKrNvSLsHITb+6vWhfn37Qj/5yt3/9ebkr n/6+vC+fXbEOrmLaIB8v4rxgmUBkgKY27CyXMR/IT0zW1mRRaNHhwiNtagN3iflaq1EyMTbkPEJn 4ocryuSZQ4sWXQLOaQy1iLt7x7axE3CBaT0iQL7i4IjnkQLCJOohizWJusQfLfYFHI/QDbIh/KhY TEt4oF60JfkW/lxh52MCX1a12R6taz6kENhKlzEcPlLxg6k9AkvRxh/QrOXzGbE26f4XPnzhopqc IZ88tImDP3yTuZTYMOhgi6mqal6E1m9FD9MEhnFE2wKOZuhOCYwLDR8zc2xnf1/2psa4b3YFhC2+ 0apVMpxHIj/JEmHYn9zIoekD6fpHwULXgE3jrBlgBdfxsYpvtn9bEgd1hyfwNEPhh6JtkIB9SGIx VpaIjHE5R2tDhEybtOHk4Vic4+IHALo7TpWY5ZLsyjq6c5hj0t6Qcw/VrjEJ1AG7WJbExC7rZINq AZ2onGzwDz+d5GM9sZlb9WAK4anqos5MXQ45JLeymGDHcq4GvHpFf9g1taH9+9G28KH4YSAofWzT IMytwMGTLevzuv7JmvpHXPXMqgK9jZkx0a08U7TScRgReX/sM9yjAVP5igZ/tcT1830zzFFERLKq HS6LSfIQJKLvYI4x33JqtYrUdBoGKFtb1JNh9o1wfJ9SzYJuBUzdX9ANw+64j5VKa3Np6GK6jzoW u051qyrWsznFHW0kbUVSgyaKfXPos4Gry3kxDaOmBVLVCM6bctOS8ECTKMIme2TtMmnil+6u4F/i 2RMeypQx9XQbR//jeEYZuLC4vnhnyFoOomvT9oYYElmvbtAGrWvZOZH5/oYNiglucIzwmMX7kmpB mLN5wCf6Fy94nVDt57+/vzw/vXINFlct24N0o1I3Lc8tyQrs/RpgPGqWEgx+iA/HBuBN1VeJ/iUd URhqK5UcUy1GaWxOw7T9Gbk+5ZCqI6aDR6OGJ746q2lpWYqDEMpwhPU7QdB5X3Wux+q8G/McXoJe +RSVXurLy/vLt8+Xd9o+1/250pVTTAJlioCr10gRz3QNISTQJg17q6JvwsQeQusgT4sdxBxv+mJQ lpHl29RS+X8N73iAAU7njCCzTzKimeEel/XHuU7w27Rrb23UKh/rBFbsDZb9/MVGhqqgAp2XtJHJ fDJgFhspj/PO2nwjn4PxxHB/Tnf7VpsfjGp+PiXwrD27yIKHVrQXYz/PQ9JKUnGlJviZNsdzENCo l6c5PfNGEE7iVBn+/nb5LRHDwP8zvYhB4fv/e/nx/Fk/+uRZsmD0hcMK9v6ftGtpbhxH0vf9FYo+ dUdMT/Mt6tAHiqQktkiRJihZVReG21ZVKdq2vLYc0zW/fpEASCHBpFwze6hwMTPxEB4JIJH40kV+ Cf9N7ma1okcRdPx8mBSnB+IVt6xEUkGkaGVYMtpks8sAdkDxR2fr9fKQiYvrmpbdZg2+75K7naQ1 r7XwspRDZOqRO4vtLWXlLDDsHwMXw21U05OACw+2FdIQU8S/seQ3SP0jZkvIZywWMvBu5/rzIKDs tnPXgHMsYDewIrHMOAtcIuBSfKubp4u0YHxjvh5S8AZYhodl5+P9XwRSapdkuxHnIL6x3BYplXS8 JcysyNqC/Vzd2ymKMEeLB90UrTWuYgVnXsNGbgOb39UtRMHaLNM+Vj28xR78PpEsYm7g6Q/KBVVA 0aFeuJBpY0XHp5/C9FwLBygVdBn59kq2IwBTMlNAUPTM6nOi/sRaEX1fR3s3qg7otpRP/4XrEhli 3FVFDn1zwzX4uT7loNmzJdYVTtZB2jVRQzoI9UL+sN/kQ/6xRCagmCLGtuMxC8dXkDW8pZdwwbwe HEKO1MQJycVFcBVg1KDUJo4A5GcsWZPH/szWg8j0I9b/2yDqOKjG9BBW9z8fj89//Wz/IhR6vZxP FJTBO0SkpW4TJz9f7l5/0fWf/L1wbLnSZEW+r1NKQwouQPLp9Wxej1+/Duexurtiw3ZTl1pjAeSR UMn1x6psRjMpGmo7g0RWKV9U5tJwTPFJHwckEVfbjwqJ+DZwlzWfRspQQAoUq7tvFCpANOrx5Xz3 5+PhbXKWLXvp6c3h/OUIC/nkXoD1TH6GDjjfvX49nIfd3Dc0P8yzLCX9RfDvjAoJX03nU0VjXlVI jJ8rkpQEPcGZgaflUO31DTq6pQcbP2PZPMt5exPF1E2MX9QDwVi6gLSKm5J9ookdeMJPr+d766dL 2SDC2U25GgGSaojtBeJudkZEZNFtnDM5PvOO/XJ3j4MtQxq+9V4Mcf+HIgCFcF2C7hhR63rXmTB6 xwCoFWF/68QliOYIlJeSieZz/3PKRuD2eqG0/EwCDPYC+9Da454CesJs15qO0duYj/mt7j+q86fe GF0h3w95AUJvVHSA5J/hDaLGGgc+1GVI4NlOomZ+7OJzesfKWG47ZGBsLOEQ9d5zuk9lKkJOOZQt DElYujUTcdxRTuCOFhheK7Dw7Cakm1hwRiIZdELzG9dZkyULcMar/XMNKE8Xmdlk/RRE4pXUjO9g Z1Y0bLFFYb6U7TPls2EEI1sT8UN6z6fnQgZo7QTSgh+5p2QFdpxzdcwC4iTZ2cynLJc9N+HzNux0 ELwvwjqI6P0ZMdgE3aOKF5qBBBnVBXxaNXhEUYI+ooIQfqOuLvT3gH2TzaY44NSln7yPuzKwPxoQ oEW8a30mFRmpZ/gMdeyrKqGIq+nMaDYCOwJ69O75gVhdBs3nOi6htSR9GL4U15SEBtXH7iwmf6fk ydwHa3TvDfJBxW0nDEaGnj/yvksX8a81MyxCod8uoiLL6XUtCEmlLjj0K0BNZOqEdPgHXcb7AZnw R/K5Pg0dz6JnsDgcXksq4oyQuqdZ29MmujoJvLAJidkJdJdQC0D3ZwSdFYHjEQN4fuOhOJH90Kv8 WI/71dFhRBJqxESf1+k+uWgMccXFqD49/wrHm6tjegDU1y9RDf+fZVNqrg/P0r+/YofnN36WxSUJ blJE8+1Cc8hUmbFPm1jcySA74a2gk/ZOIyPtzLDdEzejPRswKCloLY2NnXkkBc7t20GLCvyft9OX 82T1/eXw+utu8vX98HamwII+Eu0boomW2QaFi6rqjBWOedOmmHEJL5N0cUkZNX32bHkW5Y0osMHa 9fx3x/LCK2J81dAlLUO0yFjctexllCjmvNwkRCVHro8Vt4pq7Aur6BmLtILMPKs4n5JI3Rpff66r k4OR/FzKN+DCD3VwZJ0c0OSQLKbgW3/q4aQSgJf7vIGz0rEsaAIiDylSxY4bgMRHeXHBwFVZYT4f 8kZgI51BqeRuvESxNWyLJOJrUmFTdCskKyBSUKM6YnQwBy0d8kG90AOPqlnjhBZRMU62R8jDoSPI PlVbYFA7FI2vw8J25KJwHez9qDiL3LevtH7EFRX/ZzstNcKAm2V12ZJOm93cgpGYOdY6HlQrDvbg eVkOGEUVB8SMipIb25kPyBvOaSDsnD/sJsUbFiEYBVF2x7CDhOLl0byKyRHG51tEqSROT6JrjcwF qIpw8pZqG3hYduMO6Mx3KOUAIIujSjSey3nRxkOenEoEYwO8m3YKsaRGuaBVvBG+bEKaVwBWCKWE b7aReGnIM68MT3tTVHgijC7ISih0/OEA40SfJLZEf6/lX2QuJDQr3bDUEsR3IKPNdXUojiRs6NFd l9vG2BDUTc5/xsiuOw+njjsfsXSEU9uhHY5qviqFKc3bNUGAEcyk3TArJ29n9R4Ab/Oi+/vD4+H1 9HQ4GxbFiG/O7MAhHbAUz5MLT4dhj7OS2T/fPZ6+Ts6nycPx6/F89whGcl7+Ge1po2SKVmD+LeM0 a5XhxyCL3F9eLUKvRMf+8/jrw/H1IKMu0dVppi5e1BRpBNmo43a4SLhmH5UrG/3u5e6eiz3fH36g tZBG5t9TL9AL/jgzucUXteF/JJt9fz5/O7wdjVEwC11KxwqGp5c6mp18CXM4/+v0+pdolO//Prz+ Y5I9vRweRB1j/VdqRfszM0ygKuoHM1Mj/MxHPE95eP36fSIGJ8yDLNZbNJ2GGNpRkUZAwDpuB/3W z4CxouSFwuHt9AjXh2MdrJXuMNsxrUeqlI+y6Z8GErO+g7m4++v9BRLxnA6Tt5fD4f4bAkylJbQD nzz8yCgbA30TPT+8no4PKMCFImk3S03aLpNiasRFUdwlawEJFSIvX0b6dpOxT4xVGDUCQjSQj8hv szy2ETpXRxGOLRRZx6vpqavbtizncFmjORav2RQdspd1+gnhIytCmzJnSOyCAhpk+Lm17qHeMboY HUPOSo/Z0REHV6c9g4Teu3DLao6c5ztOhb2qOzK4Ug6InYcyVf68zpJlmoBrK1GPKvMExqgM0XL3 9tfhTIVbMThd6kWW5onw8BRvbBV1dcs7dZOXMbpsKKIsn5f7wcitD0+n8+Hl9XSPLtn6mTfgylQv T29fyQSIoU0fAJ+H5xCDCrAynvzMvr+dD0+T8nkSfzu+/ALT7/745XivuQzJefbE1xdOBuRmonSK LdPBfH4YTTbkypgdr6e7h/vT01g6ki91/7767YInfXN6zW7GMvlIVF7G/7PYj2Uw4Mkd0L7y/v57 kEZ1B3D3+/amWNIOKYq/qWiPPiJzkfvN+90jb4/RBiP5vXkJAJh6G/3++Hh8NuuvJBW49C7e6msR laJX7z80yPpZWcCMWtTpTVcb9UkHs1dMCGDfAUKVmyQtog39hFSXr9Ja4GhvYuqlBZIEhcSiHTJD 6gJ9kMqPC40Y44eawVTsfiXhsXhpkjbd0U4c6b6JL+4j6d9nvpZ2r4+JHKU4X/hjEf1hNEMtnCum m2FBFBnea7tkUPCLgBGjWmfIMNVmpsMrWoPfbHwjcrji1E04m7qUvUsJsML3deuPIndvG5AOT4uy ppaRTF9a+Yfy5qdo/KSuZ6kxwD2SiG6qCa4X2UKI44yVswxf5Khi5X8XjEwzEBXFM5gWvYiDa8s6 UIWRSnL+JXP6xGec99B9Z0ekHEGiZJ8bPhCKNHpMklwDPnZeRHZIxucpIsfBQXmKmI8r+aKYntfR 4JjYc9yRiz5+yq8T8hcKDvYhEB1Tl3xbF8tqwKOzKKavMNZ7llD5rvfxH2vbsvWA5bHr6I/xiiKa ejiWqiKNRWxWXLSFBWIQ4GxDD+OkctLMH0EmlLyR0OP72LMsSrNwToAMPiyOXAtbqVmzDl2bducF 3jzyR477/w8rg8TeBWCOJsLDdmqPRLMGw0NAY8IDa0a3m2DRgds4y5tSZl3OCCxsBOHfbbaAQMv8 yBPleZqPsA0IcrAIjFd6GoQtdesCrNCwK8xsM98ZbQ+ahuEUJZ3pntDw7c3w90wzpyfRDOb1sooS A1qOL0DUEFvtpzgQabaJHL5F4+kpJ8cmdjwdWV8QDKdlIM1ovzCIyWs54zzbJm86JAsZ+IHkBmT4 9mg/C/SbjCKuXEd3sAOCp3uNAWGGkqSb9rMdhm2kQ25sou0UXW/L5btvbUUVUWV3kXyyhNB++niz bWb0z4Wzo1v+IsD5qL0bQbJCm0rWMfHr/Y7qMYt0wpd827FdzQysiFbIbIvIzXZCRrsuKH5gswDf NgoGz82mBqZkTme6gY7Tmjz2fA+NWBWQlXc82XKcHQB7MCd2WQWvJvnKZI72/9wkung9PZ8n6fMD PgAOmOq0+fLIDwiGTg3dANkeNSm5v/12eBJPR6WrgZ62yfkorFYKqguv82lAbgnimIXGxI9uALeG siYUbGohoGGAeKwz2GUuKyPeRcXIm+Pd51AFCehMq+bPka4Ux4fOlQKsbjKOlN6ktIC+USuYagem 9kfSHMCqLp2Wqb6/Y5VKZ8BWXQ57gyyU8VeODD5I7mR/j5kifSugLrs5ww3QcuG7ePnwPcfG315g fKM1wfdnDrj+67HdFNUgYBxTIFljy7cfOF49siHlOt82IqTDMhCMGLz9IDQuBYAyutn1g1mA0bE5 DQWOF98h/g5s49vD3zPEn7rYo5PPx3DkWVHCPI/0WigCx9Xd+vhK5NvIxZQvNN7Uob3HgDdz6I1c I90MQgdeCNHKkvN9f2ob+pVTp2PbdcUOzM1jfwtxZVz3t2EP709P35VhRJ+nA97/yCC/h/99Pzzf f+8vNf4N73mShP1W5XlnjYsfT/d/TZZg/b87n15/S45v59fjn+8q1nPfQzNfRWfqVMq1dNLL8dvd 2+HXnIsdHib56fQy+ZmX+8vkS1+vN61eelkLr/M8U4X9p1ldQvlebQKkUr5+fz293Z9eDrxnTJ0v zpMW1hNAsl2CFJgkB09WfqCsmWceFPo1ZGmTAeMX+4g5fMemz8wLDc9YjW7ssYtq61q+NRqbQSjn BnCNy9aN9hllLsmapetYqH/G21AuNIe7x/M3bS3tqK/nSS0fEj8fz7jJF6nn6cugJHhowrsWQpBR FPTAmixEY+r1krV6fzo+HM/fiVFQOK6t6cFk1ejb2BXs1/Sd76phjr6UyG/cU4pm9NKq2ZJbRZbx rYF+QuXfDuqIQe2l7uCT9Azv+p4Od2/vr4enA98ivfPWGIxxzxoMaE8f9vMis4PBN/5NioaO9Oti ry8R2WYHQzEQQxHZvXSGnqnOQDmrEZuzIkjYfoxuZIZ5xn3oldbSM4DWwa/DdOrFjCZfN4pAw4Ri +YMf7119GEW5CxFMNEKVsJnxblzQZqSemK9sFG8DvvGDl7hwHTskPRgL7CrPv139QMy/g8BHy96y cqKKD8LIsiis235zyHJnZhkhDBGPfAQiWLajDfk/WMSPSrrXc1XzkxCqU97UPhnDLN9x9eDprkZc ZXCtYigRoKBoGGXV8A6gcqx4bRwLmOiXZbbtUsdlYHg4zF6zdl2bjK/XtNtdxvQf35OM8CU9Gc2M Jmaup7sTCgI2fXZ90PCG9skTvuCE2iAAwlR/vsYJnu+iBtgy3w4d6j3tLt7knmFVkzTSYrJLC36g xDHOd3lAW14/835yOlOwmsx44kmv6ruvz4ezNMURU3Idzqb6bndtzZC5Qllzi2i5IYmmMrwwsJEz WvJ5b6JBuL7j0RsDpbNERmMrc9ebqyL2Q884Q2qMQSg0gz0SCU1J1YWLll1MN4Ym5hmaluwJ2UcX +BN0yEd0tbbdPx6fB72paXOCLwS61+aTX8Hh5PmBb7ufD5eBAA2+qsXTcvqmQ6Do1NuqodkNeDOA b4LGxr0Jz3A7JnkqoGuIdq0vpzNfno7EvYjv6JM0Ab9lF6k53wttk6BZQ+GIJDW2RrDxPAcSn/rU 8QyEkatJU+Xm5mzkR5A/kDeAvl3Ji2pmW/QuFCeRZ5HXwxus5cR8n1dWYBVLfcpWDt7zwLc5rQUN zehVhRq4ym19tyi/cS6KhvVClbs4IfOxhVV8GxlJGs6I09zpYNA1rUARpA+pvmfR1yaryrECyuD3 uYr4lkE78igCrl9HNOb/oFcue6Vn8P8adhZzZ64/0O9IWPX36e/jE2yE4Y3gw/FNuhUOMhQbDB+v 3nmWRDWAzaftjjKpFHMbPyhcgCsjCkNYL1BIsD0vwsJsbV7tct/Nrb3ph/nBT/gx37xeGzhsZhxC wVfP+q989aT2PDy9wNGfnFRcmWRFKyApy7jcIgToIt/PrEDfl0iK3qRNUVkWNl8DhXrq0HA1qr+w EN+OjrzET4V26CNzL1X5fkt3q3my8Q+pp/W6AFFA2ZDmIeA2tznOgxNUzB25aNU3k/tvx5chYlhU F+0yEzHZ2k39u335FUlaRy1PiI4qZj79uK6ieN0iz74eIrmMG4yax/VB2sDFfVOXeT6CDLcgcOLB H469//kmfHIuv0E98lNIkJ3GjIt2XW4iAaOJWfwDoAZbJ9wUAiETNbbOhLRk7UAq5n1SDQEju+mE 6qqlBJccnpBcw3TYrXje5rrnfR31ESF0z9GuHzdJXWY08mHvVdqtzXoUGoHqYXz2Q7Avege3p22a VtLvUloubifn17t7oQvNYcUwgCj/BIiPpgS7dUYGDO4lAMNE82YFhgB2xCRWbus41XAmhzwdPedi sBhWuksKnrT6ubiBCVDV7QXzXxNsi2XdyzDToNJLKK+zsXCjvVwRxat9OeYSIsSkU+iggos6TT+n A64quAKUHqkRa+MH1Oky0+8vBTFZ5IPfwWl8NlJ3Rz07Wmgw51XBD7B6xN6s3OMvUBQGsBDLs8IA ZAWSvBqNm5p2ZBFbYv7/TRrT4HsxBJsa2e0abmbShn0EP24xZ9H9zi6CVZqv0HwHXUU1I92dgFey bN9GsaaO0z08+sQavaO1c3C55c1Fna7g+XAL/EwP7AQeguA3/MnkXzqNtekmrj+NAXIv2KZssgVC zU0kiTKJSE6HndXlEfV5KMrNtmwi4xMAlQTOsOgn8MFAmhaAOZXgbVRv+M8g+1BKjGMT3SyKpt3R 1yCSR+2qRK5xo/uKbJtywbxW13yS1uLeW/C2oFF0y11a59EnlMWFBjHespoP1TbBsRAokSi/jbgm XPAVsrwlf5uWKtskKY1mpAnteVeKH/SRYJHylimrT4P1N767/4YxnhYs5pqLdvhV0nLlfju8P5wm X/j0usyufhyUMWoxQeDLgOwdbbxwcrzK8qROqXG9TuuNno2xiMk/l87s1ulhzbTzJrwBF9DKn1iT FlSX8yF+W9ZrXUpbTbvitO+dY3yjq0lJAQ1ClQVM7/cnLM5uIzqmpBRvR4A7yrJpx9B/ISUMcum1 x7UD+cuVELR7moOQ8UMoe9yyFo5afL9Wantm0GLmJ/xS1FCmww3bbmp9gyS/2yVCS6tilgpau67n xptmPVWSMYgNw2cSl9/WEPUrBrBaun26RGOYBGm1Qv2uCNTyEGdIMIMObaKGIbOpIEegCS4VvOJR KcS3FYSIpWoH3H3UNPWwCHLYCZYBT36hDSsqYcb5pq1qR0LQSrG+kvokTSJD20ZiDhGZzCpDUhAu bTyWpBUNiBAPNzlDHx1OxO8/Hd9OYejPfrU1KD0QgADPFeCgey51SkQiU2wWwbwp7TCAhEKfMj8b Ig7+BRrHHy099Gl3PSxE3vsYIvZY6cFovTDSjcGjHVUMoR9puoDyIjVEZqMVmbm0gygW+rh7ZthH D/M8Gt0IV3JKOaWASMZKGKEYIgGltZ2PK8hljC6MWJxlmNQVZdNkhya7NNkz69sxxnu1kxjr0o4/ mG4dg3IzRz9spK669QjRfUxfl1nY1gRta9aIH/j4ElyQAZ46fpzmjY5ddKHz7fS2LglOXUYNClbZ cz7VWZ5jU0fHW0ZpTh7KewF+xlxTKbMYwrlQ63wvsdlmzbA64qeTFW229TpjK7O0bbOgLmyTHNkZ +OfoorzdZDEKtasI7QbeUuXZZxFZmy8O+UKhiV7cevRTofQ4PNy/v4KtdID8BCuetpWVoTh5hwGD H3iWGrOBSLJpYiRRZ7cBnX+1yYqfFVMZAxyfldWS1iZFyoSFramzkTNxJ0teuUmWviVZgfFnFdVJ uuF1gmMgnA3EbiQ2H7AOxOgK8P2NCEsD5tokXaV5RZ6nO7Cmy4+LtNmQs+L3n8Ap7OH0r+d/fP+/ yo6ut20c9n6/ItjTHdAb2q7rdQ95kG0l8WJbrmUnbV+CNM3aYG0aJCnudr/+SMkfkkV1O2BDW5KW 9UFRJEWTy5flyfPr8mG32Z4clt/W0M7m4QQz0z7iQp3c77590Gs3Xe+36+fB03L/sFae/G4Nf+uy 0Q822w1GZWz+XdqhaXEWYxUU9HdmutZUd1tIP9mg/S9uo1D7bNXqRcgSovG8hfsfu+PrYIUVLV/3 g6f1884spaKJYYXGzLygscDnLpyziAS6pEEyDeN8YjoE+hj3oYmVZ98AuqSF6fDoYCRhq6o5Xff2 hPl6P81zl3pq+rKaFrBeiUsKMo2NiXZruPuA7VSxqVuTBKWRdKjGo7Pzq7RKHERWJTTQfT0artcV r7iDUT8IdqjKCcgnS+PXGF/mM43l2TjO2nIP+dv982b15/f1j8FKcfLjfrl7+uEwcGGlvdGwyOUh HoYEjCQsItWkdqK/HZ/w2na1PK4fBnyruoJJR/7eHJ8G7HB4XW0UKloel07fQrP+bbMkYUrMTDhh 8O/8NBfJLSZo9c8S4+MYc3ASjTQo2g1qEp1/pjXWhrkEHDqXnpgPk+bsnP60QJNIfh3PiH5yGCoI SCtVt/4sXoXvYsnZgzuXgbuA4ShwYaW7WUJia3D7c9UamhS0G61GixGZjlAjc6qLN8Sr4ZCeF8wV GNmkWX53T2F18bLqrlWWhyffRKXM7cZEA/vjuYEu+wc00w81kQ/rw9F9WRF+OicWBsEUtDw7jeKR uylIue+djTS6IGAEXQycxhP86Z4KaaR3kQs2Y0k78PnnSwr86dyllhN2RgGpJgD8+cydKwB/IhZM plQ4XIMsQQUPhHssluPi7Ash2XP9Zq0uqJpnLjsxLol+ALRXQNShyKqAjAdr8EV4QTQcJGI+AtX+ vaaxjgOYKWSqx4ZClo4r0MC5rIJQd3Ei7u7ekfpJdH06YXeMMnOa5WGJZAS3NLLf5QHO3dMVlIEc LAWSN2h/SHv4vjNh5VyMYmIL1vBuLjWvvL7sMErGUnnbKRslrHSVheROEH2+uqCvztuHyNygLXJC CbU7aRdN0UEpy+3D68sge3u5X++bL0So/mMtkUWYU9plVATqw9CKxnhkrMYxm6UJEurgQoQD/Bpj aRGOgRH5rYNFbXFBqfQNgtaxW6z06b0tBTU1LZI0EJSvmlTrwVAaCRczJ3birMtTXKOYvE2x9jSY iWj3oieeROZVkNQ0sgpqss513BGWeWpSEQt28/n0yyLk0I9RHOJVr77nNWz5aSiv8NZyhlhsjKL4 C9hISnSp0VhVQBYe7uAyHqPJnHN9ozvjhe5BbOxK/ELgm1JVD6qs0mHzuNXhRKun9eo7GJNG7IW6 hTK9C4V1g+zi5fDDhx6W35QFM6fDed6hUHmXhxenXy4Nd4LIIlbcEp3pvAG6uSBRxYxk6yih7xR/ YSLqoL77/RJs8f3r23GzNXUpjFSy5iOI4XDFdJ1m3rA6pCjj5aIq46SXE7SISH9ZG4gUxotYpKYe 2KB6YNCbwJSAXW+BrDzLQOGqVtBQWS3sp2wXswK03ixSQCkC2D48uL0iHtUY38GjSFgxZ56anZoC 5pZ+9aWl5oX2X0ZUMNZjdRTR0OpuwbJIpO8P9g4/kQGBZJ9fCuqcanCcqXqkGLZqQzGUxoXDUUXS X5D0N3cI7v+9uDFT99cwFSqWu7Qxu7T0qxrMCrowWocuJ1VKWTk1BaYMdN8WhF+Jl3nmuRvxYnwX G4xuIG7uSLDWInrbxfQyNssNqtNCikRYGqAJxVatRKlSijAGgTrjMAsFM2QvHFS4JbntRU6ZOvB8 nmQ5TnTHjHFcGz6XLKkvV/uDKQWYKxbnJ3eLklnWahR5sqsV12g1UbeaaW6nARZxpKK7wGiwouZQ qpL+bUdY2n7S5nxR0N1+sz1+1zHCL+vDo+sB1wV3VZE8c2A1GO97SW9vqEP5MPliAuI4aR17f3kp rquYl8OLdh7qg9dpoaXAzJFNRyKeMDsG6jZjsD5UpFE9T96xt6rz5nn953HzUp9GB0W60vC9O1P6 otzWkzoYxgJVIbeSehtYmScx7eA3iKI5K0a0CDeognJEkoyjYCHDIs5LOgyCZ8pBmVZokk04mZBt VIBJp+K7hldgqZq3ANAw7E2MNk09+Z1B41RvACqSoMpAO42wgUAklEXaVDw3djzHyGap+2tOrciB Y7EeRJwlcT8YzWoO1Bp1VZTGMmW65HCn8FgYNe6FyMyKN3pCcqFi4ty1HQmMXZ1zNlUJzXoFHDtF 6FeZrd0cDMO8QdlSEd0usL1t0Ys6PP3njKLqV8rWndYhQH0oRk8NrRK/g2h9//b4aKmr6voZlElM O2JXRtKtIF5JWyr2XenZIpYi6xcZsTCLDG30jL706pFiufb+SETwlWtPY69zNYJUPTykGLDrZa2G SH0GJj3dUH57H64IK8XjPjwwFfBUExjro6p3diNAz/qDkQmjE7bXaHU9VqE09g51lrrTOUuVZ7If UtinKYJ+vwGYj0GPGxNrlIk0repwZ7+M0HkS1e2ecT6HSkOYMmAet5aQBquxqhmybwE7Vu+1Bg+F Yoa1TTESLuwPRU70RxfaN4uNDDARxdtOb/DJcvtohWBKMSoxYK7KoYESVs9TL1gjF5MKeLxkkpLV 82sQWCC2IjE21QNfJ7oNlIF8ALEnRG7efZtgjKCuePd9iUYim4uqHLa1dySsfNSPNdNA+5hUsJ7z QdNp3uNZ1Ip4a3rxlVPOcy0vtK2IVxPtcg1+P+w2W7yuOJwMXt6O63/W8Mv6uPr48eMf/bO7KOH0 K/kNJ/iuyajsZ7n2SQtch3Rrl00tV+xaxBgzDstcYhigV+rM5/oFHtnUqH7/Y+wtm+ChBiIZi7mD 2g1zrk0wdwqmWp68IylqCtieCWeS2vUq/kATw/8ZZvUyLfWfYdCl0IflNbC/YHR8eSNF0M/RK+rR owlBY+NZCQekRaW9lGFFnX7mMhrWDAhxzPK7aDV1A/HTlVdEhS+pL2L5tXxHzbW7ak8diAitoRRK NzGMnnp+FrwoRAG79avWhQwKVV2ZJjTHqNWQtgF6EHB6wUZWc6Az7GdUoWsQ6vbEqjMODERWMnTj 4NfUPaVDYvUUT9hvFUgyYEvBYUfE4yzVDnzD3sCklCkBqg2y4Ye6fMDwePwhT09ARz416zaPqiTx f/uQiSb8Ou1zbz/oRFtx/wHBx7wZMqEBAA== --===============3053298072474531028==--