From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 0D940C43460 for ; Thu, 6 May 2021 16:51:07 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id B6683613BA for ; Thu, 6 May 2021 16:51:06 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S235996AbhEFQwE (ORCPT ); Thu, 6 May 2021 12:52:04 -0400 Received: from mga12.intel.com ([192.55.52.136]:16902 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S235700AbhEFQwD (ORCPT ); Thu, 6 May 2021 12:52:03 -0400 IronPort-SDR: koB1YSzZmDRWKHM+5sGJUJ/5mhG2g4QxQKVznTuB22hrszGP5nQFkCJQURBxW8p2PRR7CP+VjX 6PD3nwzpGa+Q== X-IronPort-AV: E=McAfee;i="6200,9189,9976"; a="178083194" X-IronPort-AV: E=Sophos;i="5.82,278,1613462400"; d="gz'50?scan'50,208,50";a="178083194" Received: from fmsmga008.fm.intel.com ([10.253.24.58]) by fmsmga106.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 06 May 2021 09:50:47 -0700 IronPort-SDR: k2mi/APZ9gXSyHhu18dBX0sx29HtFLc89r/1XWKHDpnOzJTQQ/4LD7PWA40PYsD1sQjk710XBO vnfVXo0yZfbg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.82,278,1613462400"; d="gz'50?scan'50,208,50";a="430635083" Received: from lkp-server01.sh.intel.com (HELO a48ff7ddd223) ([10.239.97.150]) by fmsmga008.fm.intel.com with ESMTP; 06 May 2021 09:50:44 -0700 Received: from kbuild by a48ff7ddd223 with local (Exim 4.92) (envelope-from ) id 1lehD1-000AmH-Me; Thu, 06 May 2021 16:50:43 +0000 Date: Fri, 7 May 2021 00:50:02 +0800 From: kernel test robot To: Rui Miguel Silva , Greg Kroah-Hartman , Sebastian Siewior , Laurent Pinchart , Rob Herring Cc: kbuild-all@lists.01.org, linux-usb@vger.kernel.org, devicetree@vger.kernel.org, Rui Miguel Silva Subject: Re: [PATCH 5/7] usb: isp1760: add support for isp1763 Message-ID: <202105070028.XpLAB6uC-lkp@intel.com> References: <20210504101910.18619-6-rui.silva@linaro.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="HlL+5n6rz5pIUxbD" Content-Disposition: inline In-Reply-To: <20210504101910.18619-6-rui.silva@linaro.org> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-usb@vger.kernel.org --HlL+5n6rz5pIUxbD Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Rui, I love your patch! Perhaps something to improve: [auto build test WARNING on usb/usb-testing] [also build test WARNING on robh/for-next v5.12 next-20210506] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Rui-Miguel-Silva/usb-isp1760-extend-support-for-isp1763/20210504-182126 base: https://git.kernel.org/pub/scm/linux/kernel/git/gregkh/usb.git usb-testing config: x86_64-randconfig-s022-20210506 (attached as .config) compiler: gcc-9 (Debian 9.3.0-22) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty # https://github.com/0day-ci/linux/commit/e20d3193f1d1eef8bfdf1eb6a4001a916d4c463c git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Rui-Miguel-Silva/usb-isp1760-extend-support-for-isp1763/20210504-182126 git checkout e20d3193f1d1eef8bfdf1eb6a4001a916d4c463c # save the attached .config to linux build tree make W=1 C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' W=1 ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) drivers/usb/isp1760/isp1760-hcd.c:300:32: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:321:23: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:397:38: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int val @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:397:38: sparse: expected unsigned int val drivers/usb/isp1760/isp1760-hcd.c:397:38: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:418:30: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int val @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:418:30: sparse: expected unsigned int val drivers/usb/isp1760/isp1760-hcd.c:418:30: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:487:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:487:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:487:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw0 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:487:18: sparse: expected restricted __dw [usertype] dw0 drivers/usb/isp1760/isp1760-hcd.c:487:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:488:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:488:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:488:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw1 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:488:18: sparse: expected restricted __dw [usertype] dw1 drivers/usb/isp1760/isp1760-hcd.c:488:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:489:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:489:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:489:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw2 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:489:18: sparse: expected restricted __dw [usertype] dw2 drivers/usb/isp1760/isp1760-hcd.c:489:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:490:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:490:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:490:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw3 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:490:18: sparse: expected restricted __dw [usertype] dw3 drivers/usb/isp1760/isp1760-hcd.c:490:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:491:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:491:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:491:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw4 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:491:18: sparse: expected restricted __dw [usertype] dw4 drivers/usb/isp1760/isp1760-hcd.c:491:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:492:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:492:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:492:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw5 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:492:18: sparse: expected restricted __dw [usertype] dw5 drivers/usb/isp1760/isp1760-hcd.c:492:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:493:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:493:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:493:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw6 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:493:18: sparse: expected restricted __dw [usertype] dw6 drivers/usb/isp1760/isp1760-hcd.c:493:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:494:20: sparse: sparse: cast to restricted __le32 drivers/usb/isp1760/isp1760-hcd.c:494:20: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:494:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw7 @@ got unsigned int [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:494:18: sparse: expected restricted __dw [usertype] dw7 drivers/usb/isp1760/isp1760-hcd.c:494:18: sparse: got unsigned int [usertype] drivers/usb/isp1760/isp1760-hcd.c:514:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:514:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw0 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:514:17: sparse: expected restricted __dw [usertype] dw0 drivers/usb/isp1760/isp1760-hcd.c:514:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:515:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:515:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw1 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:515:17: sparse: expected restricted __dw [usertype] dw1 drivers/usb/isp1760/isp1760-hcd.c:515:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:516:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:516:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw2 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:516:17: sparse: expected restricted __dw [usertype] dw2 drivers/usb/isp1760/isp1760-hcd.c:516:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:517:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:517:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw3 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:517:17: sparse: expected restricted __dw [usertype] dw3 drivers/usb/isp1760/isp1760-hcd.c:517:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:518:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:518:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw4 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:518:17: sparse: expected restricted __dw [usertype] dw4 drivers/usb/isp1760/isp1760-hcd.c:518:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:519:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:519:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw5 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:519:17: sparse: expected restricted __dw [usertype] dw5 drivers/usb/isp1760/isp1760-hcd.c:519:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:520:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:520:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw6 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:520:17: sparse: expected restricted __dw [usertype] dw6 drivers/usb/isp1760/isp1760-hcd.c:520:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:521:19: sparse: sparse: cast from restricted __dw >> drivers/usb/isp1760/isp1760-hcd.c:521:17: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw7 @@ got restricted __le32 [usertype] @@ drivers/usb/isp1760/isp1760-hcd.c:521:17: sparse: expected restricted __dw [usertype] dw7 drivers/usb/isp1760/isp1760-hcd.c:521:17: sparse: got restricted __le32 [usertype] drivers/usb/isp1760/isp1760-hcd.c:536:65: sparse: sparse: incorrect type in argument 3 (different base types) @@ expected unsigned int const [usertype] *[assigned] src @@ got restricted __dw * @@ drivers/usb/isp1760/isp1760-hcd.c:536:65: sparse: expected unsigned int const [usertype] *[assigned] src drivers/usb/isp1760/isp1760-hcd.c:536:65: sparse: got restricted __dw * drivers/usb/isp1760/isp1760-hcd.c:539:46: sparse: sparse: incorrect type in argument 3 (different base types) @@ expected unsigned int const [usertype] *[assigned] src @@ got restricted __dw * @@ drivers/usb/isp1760/isp1760-hcd.c:539:46: sparse: expected unsigned int const [usertype] *[assigned] src drivers/usb/isp1760/isp1760-hcd.c:539:46: sparse: got restricted __dw * drivers/usb/isp1760/isp1760-hcd.c:802:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw0 @@ got int @@ drivers/usb/isp1760/isp1760-hcd.c:802:18: sparse: expected restricted __dw [usertype] dw0 drivers/usb/isp1760/isp1760-hcd.c:802:18: sparse: got int drivers/usb/isp1760/isp1760-hcd.c:803:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:803:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:803:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:804:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:804:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:804:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:805:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:805:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:805:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:808:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw1 @@ got unsigned int @@ drivers/usb/isp1760/isp1760-hcd.c:808:18: sparse: expected restricted __dw [usertype] dw1 drivers/usb/isp1760/isp1760-hcd.c:808:18: sparse: got unsigned int drivers/usb/isp1760/isp1760-hcd.c:809:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:809:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:809:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:810:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:810:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:810:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:813:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:813:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:813:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:815:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:815:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:815:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:820:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:820:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:820:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:822:34: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:822:34: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:822:34: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:824:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:824:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:824:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:825:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:825:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:825:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:830:34: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:830:34: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:830:34: sparse: right side has type int drivers/usb/isp1760/isp1760-hcd.c:835:26: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:835:26: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:835:26: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:838:34: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:838:34: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:838:34: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:842:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:842:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:842:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:843:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:843:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:843:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:846:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:846:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:846:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:847:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:847:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:847:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:850:34: sparse: sparse: invalid assignment: &= drivers/usb/isp1760/isp1760-hcd.c:850:34: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:850:34: sparse: right side has type int drivers/usb/isp1760/isp1760-hcd.c:852:34: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:852:34: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:852:34: sparse: right side has type int drivers/usb/isp1760/isp1760-hcd.c:855:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:855:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:855:18: sparse: right side has type int drivers/usb/isp1760/isp1760-hcd.c:857:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:857:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:857:18: sparse: right side has type int drivers/usb/isp1760/isp1760-hcd.c:902:26: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw5 @@ got int @@ drivers/usb/isp1760/isp1760-hcd.c:902:26: sparse: expected restricted __dw [usertype] dw5 drivers/usb/isp1760/isp1760-hcd.c:902:26: sparse: got int drivers/usb/isp1760/isp1760-hcd.c:908:18: sparse: sparse: invalid assignment: |= drivers/usb/isp1760/isp1760-hcd.c:908:18: sparse: left side has type restricted __dw drivers/usb/isp1760/isp1760-hcd.c:908:18: sparse: right side has type unsigned int drivers/usb/isp1760/isp1760-hcd.c:909:18: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __dw [usertype] dw4 @@ got unsigned int [assigned] [usertype] usof @@ drivers/usb/isp1760/isp1760-hcd.c:909:18: sparse: expected restricted __dw [usertype] dw4 drivers/usb/isp1760/isp1760-hcd.c:909:18: sparse: got unsigned int [assigned] [usertype] usof drivers/usb/isp1760/isp1760-hcd.c:1241:13: sparse: sparse: bad assignment (>>=) to restricted __dw drivers/usb/isp1760/isp1760-hcd.c:1246:16: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1251:33: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1272:29: sparse: sparse: bad assignment (>>=) to restricted __dw drivers/usb/isp1760/isp1760-hcd.c:1285:16: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1286:24: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1288:26: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1303:17: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1303:47: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1309:14: sparse: sparse: restricted __dw degrades to integer drivers/usb/isp1760/isp1760-hcd.c:1309:49: sparse: sparse: restricted __dw degrades to integer vim +487 drivers/usb/isp1760/isp1760-hcd.c 478 479 static void isp1763_ptd_read(struct usb_hcd *hcd, u32 ptd_offset, u32 slot, 480 struct ptd *ptd) 481 { 482 u16 src_offset = ptd_offset + slot * sizeof(*ptd); 483 struct ptd le32_ptd; 484 485 isp1763_mem_read(hcd, src_offset, (u16 *)&le32_ptd, sizeof(le32_ptd)); 486 /* Normalize the data obtained */ > 487 ptd->dw0 = le32_to_cpu(le32_ptd.dw0); > 488 ptd->dw1 = le32_to_cpu(le32_ptd.dw1); > 489 ptd->dw2 = le32_to_cpu(le32_ptd.dw2); > 490 ptd->dw3 = le32_to_cpu(le32_ptd.dw3); > 491 ptd->dw4 = le32_to_cpu(le32_ptd.dw4); > 492 ptd->dw5 = le32_to_cpu(le32_ptd.dw5); > 493 ptd->dw6 = le32_to_cpu(le32_ptd.dw6); > 494 ptd->dw7 = le32_to_cpu(le32_ptd.dw7); 495 } 496 497 static void ptd_read(struct usb_hcd *hcd, u32 ptd_offset, u32 slot, 498 struct ptd *ptd) 499 { 500 struct isp1760_hcd *priv = hcd_to_priv(hcd); 501 502 if (!priv->is_isp1763) 503 return isp1760_ptd_read(hcd, ptd_offset, slot, ptd); 504 505 isp1763_ptd_read(hcd, ptd_offset, slot, ptd); 506 } 507 508 static void isp1763_ptd_write(struct usb_hcd *hcd, u32 ptd_offset, u32 slot, 509 struct ptd *cpu_ptd) 510 { 511 u16 dst_offset = ptd_offset + slot * sizeof(*cpu_ptd); 512 struct ptd ptd; 513 > 514 ptd.dw0 = cpu_to_le32(cpu_ptd->dw0); > 515 ptd.dw1 = cpu_to_le32(cpu_ptd->dw1); > 516 ptd.dw2 = cpu_to_le32(cpu_ptd->dw2); > 517 ptd.dw3 = cpu_to_le32(cpu_ptd->dw3); > 518 ptd.dw4 = cpu_to_le32(cpu_ptd->dw4); > 519 ptd.dw5 = cpu_to_le32(cpu_ptd->dw5); > 520 ptd.dw6 = cpu_to_le32(cpu_ptd->dw6); > 521 ptd.dw7 = cpu_to_le32(cpu_ptd->dw7); 522 523 isp1763_mem_write(hcd, dst_offset, (u16 *)&ptd.dw0, 524 8 * sizeof(ptd.dw0)); 525 } 526 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --HlL+5n6rz5pIUxbD Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNIZlGAAAy5jb25maWcAjFxLdxw3rt7nV/RxNsnCjiTLPc65RwtWFaub6XqZZPVDGx5F bnt0IksZPSbxv78AWQ+SheqMF4maAN8g8AEE68cfflyw15fHbzcvd7c39/ffF1+PD8enm5fj 58WXu/vj/y2yelHVesEzod8Bc3H38Pr3L39/XJrl5eLDu/OLd2dvn27/tdgcnx6O94v08eHL 3ddXaODu8eGHH39I6yoXK5OmZsulEnVlNN/rqzdfb2/f/rr4KTv+fnfzsPj13Xto5uLiZ/fX G6+aUGaVplff+6LV2NTVr2fvz84G3oJVq4E0FBcZNpHk2dgEFPVsF+8/nF0M5R7hzBtCyipT iGoztuAVGqWZFmlAWzNlmCrNqtY1SRAVVOUeqa6Ulm2qa6nGUiE/mV0tvX6TVhSZFiU3miUF N6qWeqTqteQMplvlNfwHWBRWhU34cbGym3q/eD6+vP45bouohDa82homYfqiFPrq/QWwD8Mq GwHdaK704u558fD4gi0M61WnrOgX7M0bqtiw1l8CO36jWKE9/jXbcrPhsuKFWV2LZmT3KQlQ LmhScV0ymrK/nqtRzxEuacK10ihBw9J44/VXJqbbUZ9iwLGfou+vT9euT5MviW0LZ9QVZjxn baGtRHh70xeva6UrVvKrNz89PD4cf34z9qUOaiualOioqZXYm/JTy1tP1v1SrJzqwl/YHdPp 2lgqObVU1kqZkpe1PBimNUvXJF+reCESksRa0GXEeO1+MwndWw4cGyuK/gjBaVw8v/7+/P35 5fhtPEIrXnEpUntYG1kn3kx9klrXO5rC85ynWmDXeW5Kd2gjvoZXmaisRqAbKcVKghqCc0iS RfUb9uGT10xmQFJG7YzkCjqgq6Zr/0RiSVaXTFRhmRIlxWTWgktc0cO08VIJej4dYdJPMF+m JUgRbA8oG9CaNBfOS27tupiyzng4xLyWKc86rQmrO1JVw6Ti3egGsfFbznjSrnIVitfx4fPi 8UskKKN5qtONqlvo08l4Vns9WqnzWew5/E5V3rJCZExzUzClTXpIC0LkrI3YjhIckW17fMsr rU4STSJrlqXQ0Wm2EraaZb+1JF9ZK9M2OORItTpNkDatHa5U1mL1Fs+eOX337fj0TB07MLkb U1cczpXX5/oajooUdWYN8rBzVY0UkRW0SnHkvC2KeTKlLsRqjSLWjd522InAZNxja43kvGw0 tFpxSmd25G1dtJVm8uDPoyOeqJbWUKtfPVjZX/TN8x+LFxjO4gaG9vxy8/K8uLm9fXx9eLl7 +BqtJ24FS20b7jwMPW+F1BEZN5hcLzwfVv5G3jllq9I1nEC2XcVnLVEZatOUg66HZjTZEYoL oi9FUhslyOP5P6zKcOxgwkLVRa9Z7arKtF0oQiBhBwzQ/FnAT8P3IJHUlinH7FePinB6to3u KBGkSVGbcapcS5ZGBGwYVq8oEOaVvmlASsVhYxRfpUkh7Kke1i+c/6BQN+4PT8VuBtmsU794 DeqW+zi3qBEZ5mAjRa6vLs78ctyCku09+vnFKPSi0gDAWc6jNs7fB2LWArp2eNnKm9Vc/Xaq 238fP7/eH58WX443L69Px2db3E2WoAYqW7VNAxhcmaotmUkY+CBpYEos145VGoja9t5WJWuM LhKTF61aT/wDmNP5xceohaGfmJquZN02ypc6wEbpisZOltmtwimGRmT0meroMpsBrR09B2G+ 5pJmaQCZzRzZrnrGtyKdQX+OAxqZ1Qr9HLjMT9GT5iTZGnjaHAAMBoAAqomuv+bppqlhn9A2 ADShJ9JpPvCObH80z0HlCkYCyh1ATrhl/VHlBfOwVVJscPUsepAeoLO/WQmtORDhIXyZRU4X FES+FpSELhYUWM9qVHTZrCtiSZQbAoTQBUnqGg1YqEXgUNQNWBNxzRGw2W2tZQnHjPsDiNkU /EF5rJmpZbMG133HpKfxBjck0BoiO1/GPKDPU95YRGl1agxpUtVsYJRgMnCY3uSafPzhbML4 O+qpBI9LwCnxUK1acY2ugRkhXSQmHYGYdA7zzYpguRzycriFRBOoWD2XzSnaqhS+K+/t0nTa oyVngKRjbNWPrNV8P7Zif4Ly8RaqqX34qsSqYoUfyrFTyAPP3ELSnDosag2q0WdlgpZZUZtW 0rCFZVuheL/anhGDphMmpfB3bYMsh1JNS0wAy8fSBNAGrAKKOeg4gsMuJ5569BgD8TITtD/a nt6NR7bfhA72B4pAwRSA8+f8aGkrk0tqu0CrNU4fxlEB6gfF5w0/LZtAXyj+iWgN2uBZxrP4 UMEITOytNOn52WVvxLvgY3N8+vL49O3m4fa44P89PgCqY2DHU8R1gMdHsBa2OAzLKn1HhGmb bWn9SxJF/o89egi6dB06iE6fO1W0iRtEoNvqsmGwd3JDW4mCJTNtBVqiqGk2lsDmyRXvhcQ7 bkhDW44Q0EjQInUZNunTMaAAOJU+eG2eA/xqGHRD+Ox23oj0wO/Wgvkn/qA0Lw04jwxDsyIX aRTmAHSZiyLAXFYxWxMcOGVhDLRnXl4mvqe9t4Ht4LdvRl2UFrV/xtM68w973eqm1cZaJ331 5nj/ZXn59u+Py7fLSz80ugF73sM5b56apRsH0ie0smyjM10igpQVGGrhnO+ri4+nGNgew7ok Qy9cfUMz7QRs0Nz5chJvUcxkPkjoCYGh8AoHLWbsVgUegeucHXqjavIsnTYC2k4kEkMhWQiD Bq2EMoXd7CkaAwiGIXxu0QLBAXIFwzLNCmRMRzoJMKwDmc4rltybufWdepLVadCUxGDNuvVv EQI+ezZINjcekXBZuVAWWG8lkiIesmoVxgnnyNYQ2KVjhVm3ACiKZGS5rmEdYP/ee7jPRkFt Zd8QKUBPas2yemfqPId1uDr7+/MX+Hd7NvwLT5NRZTMZa+fPtDZm6m19DsCEM1kcUgzacQ9C NSvnxBWgR8Hyfoj8JhgXd+cIt4unTsNY89A8Pd4en58fnxYv3/90Pr/n7EUr4B1Kf9g4lZwz 3UruXABfEyJxf8EakZIqGsllY4OKJH1VF1ku1JoE+BowUHBZhK3xvYatRvGZIE0kb1Vob7GM 6iRgwENYgBKgccDIUTSKdn2QhZXjmAhHbgBYKjdl4iG9vmRq/pynVJcgijn4MIO6oGJKBzhN gM/AAVi13A9GwtozjGEFILgrO+HrDSyqEZWNwRK94rTXW9RGRQLSB3aqk71xYcJIWX+UABJE w3Rh4KbFUCUIdaE7/DsOaEsJyTDMKOw2nf8Q+xha/I2JYl0j3LFjoTBeKqthoGOUYfORXLKy UfQhKBES0ndhYDDrkuh5UPQ+FO4FUVZgfzstHkeGkKc4D4hLn6ZVGjYI+HSfrleR5cfY9TYs ARspyra0KjtnpSgOV8tLn8EKEziKpfKwQRfKRMeUFyAeAbyDlkAdusM1FzKxHHC2TtLXh1VN h2R7jhQAKGtnAzOW53rN6r2gBHbdcCdi3sxsGQePFc2w1EHYPSvFzHbvQT8RHVTWFCqEmmAM E75CZEMT8b7qw/mE2GPYcU86ilfiFIoq9VTLlNQ1phUmvNM2qOAjQaz7wkALSi5rdOMwFJHI esMrF93AC7d5CxGqSme5PP/i2+PD3cvjkwvbD6h2hiO0Bs4z7PYpgM9uEk2B/+G+GREfN5Hk +wJtDwfqqbDog7XNYVkmJEi8WSWIcFTcBHP5E0qLNLCoGE+d8zfd9RxgA5ACRuCggTzxaBzd HsH+ChnvBWOfGY8r+Kygr1y2yrgoRcFXIAidCcK7uJYj/jnefD7z/oUba0OCgJ1rhW6xbG34 aEbQ3JUlxrN3nsiWWnqLj78Q7ggNuHW2vFucYRHOZthwuTCkYI9Kz3wezgCwP32TjqvlHMOZ +SjwIMI9b0sRYBOe01pifW3Oz87mSBcfZknvw1pBc2ee5rq+OvegqlMAa4kXYR7c5XsenG5b gJ4BBWtSydTaZK2PG5v1QQlUHiDnErHyeSwiGHwBrxY3i7LtfX1wdlYV1L8IEHZ2ADCKl+ZO msENAsXjTbLWTdGuQguKqggBQemTz6aBEJ9Kzdb5hNtMeck0eD7SQ6xyguBjzLKvq+JAbmbM Gd+ZjrarzKwjBzOjTSiccpHD8mT6RKDUOnYFeKQNXtX4oYNTDsTEbWRZZiJdZ2ndeex2qltc mkc1BcDdBrG09i+rmse/jk8LUPY3X4/fjg8vdiQsbcTi8U9MuHN3V71EO3+QkinfqyoHyD2W sGyLEfZsisYzoPbpC2TLgDADfLn7BNpyh+ooz0Uq+BiNnFXvvW+IE/PWZ/Krlw97dBSozHrT xo5mKVZr3WX2YJXGDyTYki7E5AaJxgiaGmMwo6pDXrscK9L3cG01qXTDmVTNm4wG1ziPxg9B 2SLJt6becilFxn2PPmwUVBGRieJzsHi6CdNguQ5xaau1Dwts4Rb6rqOynFXTVQEJnevf4mTJ QQiUipoaQXFql32WLLJiljgZjGhC1OnTQm0Y1hu7Y6sVWEOMUM61o9cAlViMGuzZt2R7httm JVkWDzymEfJFW1o7xlRgHHdWjuBvzUAPyqjTft6ijsGqk9qEBqWu7sxVseuwVeC5gUrT6/oE m+RZi9oEQ8Q7RBuxxvcVsBPbhnuHPSzv7qHCLpAwP4Cs0fRtb79s8HeczTVoNIF3iyAR86AN tF7vFvWJN4v86fif1+PD7ffF8+3NfQ/aPV8LT8VcggpRe2hYfL4/eonVmKISnI++xKzqLeCB zAWpg64HcsmrlrLsPo/2dUBA8QIUw0a5kj6G4dvQceyDVf1Ha2Ynnbw+9wWLn+AILI4vt+9+ 9i5z4FQ4J8OzYVBWlu6HH0nHP9BvPz9bh8xplVycwbw+tcJPuMaodtKqsCArGXp9IazFW9jE n+/MsN2U7h5unr4v+LfX+5vebvcdsPcXc47a3o/OdvBrWjRhQS+0XV46BAlbHqTzTIdiR5jf PX376+bpuMie7v4b3J3xzHP64AdGgX0By4Us7SEHoAPgn7r23Zk07+6tg5peeQ/pqKhQXa8K PvTjt9CR0HOz/vYEVLuswuPXp5vFl36Gn+0MfZ96hqEnT9Ym0FObrYeuMObWwrpf97s5OhJb ymVCE7Ldfzj3o/AKw+3nphJx2cWHZVwKuL5V/CrK+r95uv333cvxFgHr28/HP2EeeNxGzBj4 L9HVrXV4wrLenrgYSr/2XbAO5CvMWty4ED8x29/AUwIVlfgOuHtOAd0eFHrquY7ijh3d+gM9 fc6UjJCzrazwY8pNimY+Mt0Y/sS3CVpUJlE7Fr9BEDB9vAojLoI28QWGK8W4PUWoG7q8awYs o8mpxJK8rdy9I0BChERUQjewBSkaYz67bXEN+DgioiZD0CBWbd0SqcAK9seqe5ckTQAe0C0a Pasur2jKoHgfapkhdvGhcrLobuTuTYu7dzW7tdC8S0j028K7LTX4wjaN2NWIm1QluoLd45R4 D8DGw/GrMneL1ElKqOkdn+Kf5rYHH9LMVlzvTALTcelhEa0Ue5DOkazscCImTMbAK6FWVuAM w8IH6SZxsgQhDYjA0KG0GW7ukszWoBoh+u9TI2S3RGGoY9w16mBTVCKTpSxbA+AbEHaHlTHB gCRjmirF0kmXOw0uO7QL78eD6VRCJ1zos0ccXT0X/p2hZXU7c9namV/RpMY9KOjfShG8dZF5 /NSqKZ4iwwlSd2EdaEtHOfnYxW5lAXIXNT25Sx01cFju62aPguta00lUgZtf6No93ovjtBMG 0Ab+gxAsx5AQtSQ7gbydmNp7w1iWUe/xvba6cRNclpFke9mNrUV8M5nxsQGZ5sTH57/G89XG uU+uuIyLe61e2egtyA9e6BMCPMtHdOXODdAx8SmOo1ghtUSMSgH4kGRXqs6tRteHyTyyPjrP U0zj8Y50nbUYv0EjDAbd6gRi+fheaDSP9rkRsRHYNdKApd5VMctgcmwPNmIdJH2MUwhyZyIG OwbSFoa1xnQcol0vl2auEZ+FaKojW3ZMCIyH6aS+eyg0BQmwwMKFGYeso4nHE1ov1E5KrLqI 4vuJh9HRWQRJBhclEe7ikFpvFLZ4t6iyETRogCa6f8Yod15yzwlSXN1JHVmdIo3jxWRJcNG6 qH0II9C0+ml+8QZ3mZKAkVN5aCY5RSO0nadM3g47w9y9/+kgEHV453KfQ13bpUCChrB5evQB sjdjg7PpXI203r79/eb5+Hnxh0uN/PPp8ctdHPhAtm57TmWTWjaX2cdNn+7cp/Gd6ClYE3wp jm6KqMg0wH9wivqmQLuXmJfsHzKbhKswO/TqPNJivjns5Mi+MzSzCbYdV1ud4ugR66kWlEyH V9czT9l6TkEHGTsy7qzkM0k+HQ9Kxw5Aq1Jo8IY3EUaUVo7o91pSlDBP0POZ2WA2MyECvTGw 76GGiP6YrVzQseaGYYqo7wpX5+OvtnKHxqbx2JWeKJbx0kHX6EPI0nuuawXAVXbWxUfdcqfg RM8QrUKYoQ2ep33snI05RiPLPCWuLHd01Un5cMYqHBEITMGaBveQZRluurH7SOnNPq3bJDzH /6EfEL6q9Xjdhd1OQuNjXJT/fbx9fbn5/f5ovy2xsIkLL14AIhFVXmpUMRMjQpE6VeQdTMek UimaMMvdEUBe6eQkbAadGTIgOzdsO6fy+O3x6fuiHKOYk7DKyYSDMVuhZFXLKArFDNBUct+g jqStC7xNkiMmHLEPi++JV/4NWjdi/wmk/8rMu8akkr7dHaa9v3QpOJdRTns6kwdh8ankeB4D nEw8ck9t8MJEtgrvzK08Gx3nd7s0uToM6qJT6bnTY+RKUTG6/jGFXWT38jmTV5dnvy59VTeF 3HMGzwUv9BoQj4s8jasEXlllk9ioIL2fqgo/iIcDfSF5PYhUzFtWV/8aq1w30Q16X5747sK1 KqMV70ssUpnGkWxCbx9FG8mwklzK0AOPXr7b6JMtn/ppg7ppbAp46LVYCNnkgcy6VzVm8ma4 H23bGD3Nx+x7sJ6Lf0DLTnNaf8esedFEz8DndUPfRMWn4Xoosx+WAZOqwjQCoMDyrGQQwMRC HpWpTeJShPswl1VV1fHlr8enPwAoTXUUnMYNDxJm8TdMjXkLDnZ0H/4CVVtGJV2V8SgUMylv uSytDaFfWXKE8XRayD6Do4IfHyB3Ubg1HR9zNe5BHX7FgH7t1Yz5DjZtj7r3Baam8j+EYX+b bJ02UWdYbDNs5jpDBskkTbdb3Mx8VMYRYa9B2st2T2VQWg6j26ri0SPBCuSr3oiZZ6uu4lbT l6hIzev2FG3slu4At8UwOvvc0gBAzhNFMxPGstRhun5hKLqOL20m4mkJbeYI8wOQbPcPHEiF fcGgFy222Dv8uRqkjZjOwJO2ie/G9Tanp1+9uX39/e72Tdh6mX2IoP0gddtlKKbbZSfr6DrS d+OWyb2qxfRMk824Jzj75amtXZ7c2yWxueEYStEs56mRzPokJfRk1lBmlpJae0uuMoCIBlPL 9aHhk9pO0k4MFTVNU3Tf55o5CZbRrv48XfHV0hS7f+rPsq1LRqNat81NcbqhsgHZoXUJfosF Y8glk5vQ4jS6wZgsuH/5IaDYKgDAbLwHLG3ZRJ8SAR4XpyYHkzQniKBisjSdVawqnVG6cuZz Bpr+bhXT4SthjUltgloiJBWs4jE7OMH0BxKQmMiL5cdLklxcaKqbUoZOsBQZCSfdpQfqIsWi JcciosYWRm8+nl2cB19fGUvNaiupEXkc5VYGkC6N7K8rmbesReHpOfjhX31rFiYT4rcNAHQV HAk0Nrj4QPXBmuAxbLOuYUxkA8ui3jVs5ss2nHOc9AfqewY4SZtE3MOtT6/H1yOArV+6j4gE 39vpuE2afIp3CovX+v85+5LmxnGk0fv7FY45vJg5dLRIaqEOfaC4SGhzM0FJdF0Y7ir3tONz lSvK7m96/v1DAlyQQILqeIdalJnEvmQmcqFDl034jFMrd0SrFWwA64ZVVF3yzKLcsUeCJk2o 73i23EaeLRXapg85VWp7yBa+ig/c7pg4UGxgG7n6K/gn+iIbCRIO591CK8S/OJDA9GVDrfBp oB9cTRL8OqAWWxWfqntq04/4h+zBHoV4UDZYpWUPCrc01tF9apdI1XI6ZVQdNVtqLynIyM+Q WfQ8yQTp7OChHRGKUyIX34i0hmVEiNsnq6QmZOHrofZf/vH995ff3/rfn94//jHY570+vb+/ /P7y2Qh/Cl/EOTcHSYBAl8zo23ukaGNWJmm3SCNPV9epBATZlar8HPgL3zT8UlNfAXy7VFde kbXFVqgbcyxqYyOPpWG1zIgpwA7dpeqWIoWkWKgw0i1EpIACWogqZ3Fqw4+I+ihJm+pgExas IY5MwHDBDpFeHiNBGVENgti7Npgz3Rpggt4fBnKr9pifKX3W1Ow653Z5cNPbUGumhqqLKrHh LCNGUzGkIONTI409RqQEmKWyAvfJPFBQZ+yAInaSRtTGo96EOPXEsYDOi5gKppGUYLXDK4h+ +8vXSSktbuMItISaK+kMG//rQOpP4Ro8ibB6e8aUFF+g4QsczVEv09QfajhQvhkBcSayqk7L C7+y1hGJ9eLW1YyqLlMoh6Xo3NUl6Sh/4tYZodokeEZnUXkAAVdBCjaoBpqHpkWlwu+eO9xw JVIsa3fDY06Jqk2tbbsmkwEP0QsBKNCbTr3ojErHGd3h6G9D/DIpo7lYCo1GyXCUOCyZdgi8 xx97bOV9wJzbEFTIUQQc30NoaayGvPt4fv8wnodlq+9bV2RJKcc0Vd0XVckM/4xJ6WoVbyB0 9ecsOBVNlMhzQ/lZPX3+n+ePu+bpy8sbPC9/vH1+e0XOVZEhaMxjG1FPGge8XSGaT5o4JGCx LKkrQsIT/RVaHNk8ww6qh3bU+Bv1UaayyhT99c/nj7e3jz/uvjz/78vn0dpZf5RrlW86quWg 633F71PMDu2ZH4xqR7CMdOd2SNMpXSX3RXvvKr1pKUZ2pOAJvhEU/ByRYTmHj+LCXwWd1ZA6 8lY2NFMdR8CkzT27H0FswfJzGkdNYjfwIv7QDSyaC54NAPRDN2do1J6Ce0zX3ltUAgZDYbar 4Ux/ynAuE21LZOK8aGqamRXI+5jiPq6sSXMkB4wQfBNfwRgPv/ZKEI4uKkG8frSImHa/xtkR pHgP3Re5BMn3H3ihpR7Mhs/grkhzcJeXljTiMMYH8EgWp2AaPQSs6qvyTL7CjdRNCq4n0jYD bFKb9Jgc7CbLJ//RvAlIpKE8Wf0k0jjiVM50RChrqy9NEo02Eku9uKI5Q2CIeojiWuXsME6D AemldZT4qnbi4rhwI9t77GI+oS3/upHfiGJrRYywvonhlZe3DSkt62SjOPqPQRzkb1+f7/7z 8uP59fn9fdwxd+DaJWB3T3eQZuPu89u3jx9vr3dPr/9++/Hy8YcWU3gqu0j5iWwb3Ai0Unek WJpevXw+vrG62Dxcost1bKLibQQvpycZvVcG2NJd3rN7Rrpgww2/N6SafS1f7W2ufk+EaZ1u YYZUEvB7wbtSokWRNBcoscbdFqf1qTcSDIxNy7QDSfwQ3O2RtfrDMQDLmFkAMPRBnRzAjqsK 0KfY+oKfkjy27vny+enHXfby/ArRCb9+/fPboKS4+6f45l/Dqa7d+lBS22S7/W4V4YYWKQMF PwaiBAAAgL3urVZm4waHKOgWzeJlEOyNVBJAoeVmvTbqARC0yQIHAQHq0VU9g5kf22C/xzej 7D2LmwobACOw3RR8W48QuyESqtqBhkNd7jXFC8iRb4e1hBeBhEJxi58NK05fb11NrE0FpFrH g+zalBuzJoIm9K2FbDR5vzkZT5ET6/63Fq+m4F/UtCiFxHw9EK9jAyqBcHxggKMpfppK7P7c 1JWIowPnCFJW9lWlzX0WsbxCuoG0PbWCZBSEZ1Jlbj7Ha5V7OFGsl+WSqYgZ1zbq8GvqI/zu L/kBWKHCdcRLIvCGhf+4KcY93FSkK7qkKQmPi1pfVuaPId0HivDKpA2YMtWamjA6H8I3QEK0 AMCRbmo5AAa3Ob00wPRp3NCLV37Ha4pvlR/WugWehCR1bBVft4Wz9N4QA7UBKbgxQq7EKCNO WitlQxg6PJDKr5kbTXNen4BrlAX4GJIEJ3KSkQja8wFDIAixBYxaoylgECj5ewXDSKYHXJNl NsYo1BHXw07JErGnmRxX8GEQ2zo13ZMnJBGFxCYC77FlCi0g+S3CtPHhL0p5Na9p11KXfvGL X/Yx2lMmpv/Ubjab1QKBlWZCp+AnubKVekRc3gPbCqkRZo0BWlxZK/52hXACAkgqNVbq2mEd xPbt9EG5ONRvklxew5CySBZuMUHJ8/vLv79dwXcb+hC/if/wP79/f/vxYbRe7OSrDGRpFYSp VEjM49XZSXEMmkH5hkttqTHKtPjtNzGwL6+AfrYbOxoZuqlUn56+PENwOImeZw2y04xl6R2K oyQtY/NYG6ByMKzdNCLJ4dKG4ted7+GCFWgudQwVcbPJUwgJeiVOqzT99uX728s3c3YhfKD0 siUnBn04FfX+n5ePz3/Q614/Fa+D3rkdAodphbqL0ASLLofjghzCQU80/S5iFpm/paNJHzOs FBAfGoUO/frp89OPL3e//Xj58m+d+3+EQJFz0fJnX/kmRGzcCgmmCuywIhyQFT+xA2WMUifb nb+f62Chv9r7egehH+C4YOZcbKKaGUq+AdS3nIk1RqndBwJp8AXGShA4LVjZJQwXYNP1bddb 3i1maUUkPjgiD60Jh+NszeWfC/UMbOPiU4EDLo0I6WbTx4bAqhIUPX1/+cKqO65Wm7VKtZHZ 7Dqq8LjmfUc9k+mfbkOiueJDcaD7VKFNJ3EBueUcbZ6jWLx8Htjeu8qOdHZWLnfKApt8uL+0 RY114iOsL8BRj/hIrLEyifIKW3fVjaprinIiU1paczCFCHl9E2fZj3nws6vcoDpzOoGkyJBA GiONj+/aJppjnfxDs/icv5Me+c7ez3SjY5d+LpktnfSmKm/EZXKN0UdBeX/pWHLDK01R0rCL w6BvIEgvjcNWUhGAUnYoRrCl4BJNnR5F/1Dx/v4MOU3NqCGyhEi6MA3lyHgbZJ2qhJHMmf1U C04smWNH8kdAX845hF0/CF6mZbpY1KRH5LSgfmNlxABDgvoAKwpdlz9+rOdUnD/uo0uhqWjg nJJe3HK9Zfp6BFQmL/TRNRj7TtpbcQrTZGmRiqprdbcCsFkAh46iN6S64sTMaw9FUppE/PFG q4TEjuMSyKitVlLDkhu/erFZkBuHBBaQSIxCcNZkNOZ86CxEgbPEip9y+RA379OPjxepwvj+ 9OPd4J7hs6jZyXQYpJOkwI8hLyUNaoCQeCiomGoZE2kBpUKxgFuX9LP85ScPtwkVIWPqSB9o 0pLdpgftGAR+Q1yRNQxyHM7iv4KxhcxrKqFK++Pp27sKUHWXP/0X3Weyy5WRA61NVDIReHuB wM7yld++KqPi56Yqfs5en94FX/bHy3f7upSDnTE8Yr+mSRobOx7gYtdPWWBRY0QJ0pCiksF/ XZOqHPrL+/7KkvbUe7hwA+svYtcYC/Uzj4D5VEulVCOuHtfag84UCcreNcLFtRnZ0HPLcmPN RYUBwMll5B448NTBoy/MnJKdnr5/h5f+8dHl97cfiurpM0RyNaa3glOpG20r7JV0euR0KDPZ yiLZbTvVfA3M4pMNTPnBJzoa34erNVA7quDxwe+zPDJegQSmTNuP51f6wUag8/V6daQ4Odmt 2FjVk0SBe6/kikjw3Y+CWXKtXSUJXxrBnzdGsUIuVNM9C603pkc9nz2//v4TCEtPL9+ev9yJ opw2CrKaIt5sPKv1EgoJZzJG21BqVO4XIiACF3M5CU6KIj7VfnDvbyjzSDmRvPU3xk7gubUX 6pMFEn9MGERwbqsWYkvD+5r0QMVYwXTwIb2N54eDDuTl/X9+qr79FMNwuzTKsrtVfNSeUA7S nFiIXn3xi7e2oa307x3zZt6cOvUoJVhsXClAxmd+NLTiGAec66aJrvLTUUPVPP3nZ3GjPAkh +1XWcve7OihmZQJRb5JCmDg87hrCVM+ZaDLA79ypKEuJoosOxcIZwcdaZ+0mMJVhT6tB6mGc q1MSRQ1k8Flq6JDl5ViMg1m8vH822RNJCX8Jjm65QqkjWKpPCOD3VYnzjBNIda9OznN/j1aG NNBfnt3EkM757zWzPxzaa8NaYzqBydbXYBrHYjv8W2wAW9U2lSqIiJ4IKCiSTlFRGN5TDpKe F46sKwb9wTTSHGMcEI2dXt9gl8ou5bUY0bv/q/7178TNcPdV+TiTJ7Ikw917YGVWaSzSUMXt gq2RNm+ZASgtZNbSa01wstZVPlLxK3h8cjM+6C1aCONxkdEQyMdF86v7VDdhAYzaXEiYQ2B8 KRsoK9cT1Hc+MAvQX3MZpoqfqjwxLwZJcEgPg1WmvzJx4P6AxNIRcczPqVmbzLmEoikkrbak K/T4IiQTEK4dErXAiuu1bVE0PwG8rw6/IoAV5UjAxr2uw5AoXGXY277KRlttBFMhUcxglVoY eRXND5syzYBZUaRAvcMebkRHXRju9rR760gjrm7KtQP5o0tn9MEwZwobMCY/m8xXZ+Ihmr66 hS9FSr0sIPh0E9hCvmDSudhqYj3xIL+sfD02WrLxN12f1BUOpj+DHSYKOgXaLcm5KB7xzLJD AZE9tcE4RWWrs94tywqLq5DAXddRymEW833g8/UK8ZPids0rDhngIEkLi8mgtqe6Z7keNr9O +D5c+ZFuMcB47u9Xq8CE+Nr73DisrcCgh7sRcTh5ux0BlzXudTvVUxFvgw0S9RLubUPK+wd2 oOiauDDqYH6inb7jgq90vO+MjyqW9k094vU8yVJqriEqT9+0XGtwfamjEj1FMs7EX/fpIzac iX28E9VvsUpEM6Om9z05cOo+TmuQsN7t9z6F6aPWp91yZzzlXDpgVTIKTXOrwEXUbcPdxoLv g7hDPvkTvOvWlPgw4IVw34f7U53qwzXg0tRbyaS487WO+zyN0mHnrawNoaBOk7oZK3YbPxd1 qwcXaZ//enq/Y9/eP378+VUmwn3/4+mH4P0/QHUDtd+9AnfxRRwhL9/hv/oMtKA4IBmT/49y qXPJNF2KwMlcJp+qKbufIReibso1gfoCxwWY4G3ncOifKE6Jw3v9oh4TLgVp8n1My+sD1i2L 33OeRRUTukljuLwe50xPaXzChu9x0V9ov2m5B6M8hnjAZBumTWpJQRNCbEyy7FN0iMqoj+hX wTO4u5BTj26b6SCQ8UCTKcY5B6eaQba02GxA9sonbRZNiQ9G+uyM4/Oq38qE9ahkaIzJq+NR ceiyMeAgfucF+/XdP7OXH89X8edfdqsy1qRg5K7VM0D6yrDnnBCGu7qFrjjSqy42ZJpSMPaF 59jhsUPXCkcxJCEAdU96aLEDoMrqqRMzhgisg+VQlYnL5kze5yQGOnY8R2SsjvRBRtXHfqFs wSG9TSOHnBrF4OJIb9zaibp0Lgw8/Fzog+Ag9vg5oU+AoyN2hWgfT50OwuJ/goWla2uYM8iB 4aU2Q/uLnL+m4uLYRHN4SVtKPFaW2ZKznoway7zQNxE/l0dIsHTCTLURJkJBBK+7ovixEbva eGYhoPuxYLERwFitymK/+usvotIB4/CWG6th4vJ1N02U4a8Q/2YgzHPTRMdkDqe2sDenBMK2 QcUJIB3HZQhSEjGTPC3J/ggMnCvg8BBZgVA+RQ5jRkAKjg2y3DnxgnfZ7fwNxXUCOioOgrGI EiOrE8I42RMgO1UN+4Tiq89A271VtsgdpgViXIqZIcP2QbFW0JeTDIkJy901rGKrVto8KqeE aXY1ax0Bb1sqQ5JEnTizyNU+tA3eXgTf9PLbnx+CYRpsKyIt7i0y3RvN0v7mJ9NRDMH4kWRd JLavxkUIB2L2gph849AooiSqlenUJAlKgMyfmKFbU//qmOqYtPUCr3O0IcqjGLR3zsgAE12b 4pxoKRJJ1G+VmbplRwhNriEVf9lyy5F9LL2IPjmy9SIqd6iSkURchWXrWMg6ncPGWSeBqawc jtoj0aGpoiTWpeuD7pMhfih7VXD4HJMdY5wMIruA198cCrhOdZKyQ2JsLKaAvuJgRgL6GhZl UG9iKhMglicFLXbdLcHBUFytlKOQRKp4FWB2DFY3uKT+dEVXIx7WGKWLO5QRSTgbaOo8AumI pH90YWd0mLencwk2QbCEazoAnE5yoaLy6ASHoyaP6ojmiDZizh7OYA9G1jgi6er0/pzSnOsv JAOgb5HCZob2nsPza6Sgl8qEphRwM/KS0VPFmkbXjMY83P+FXKIUZJLkbnRaSFpal/FppNPJ wLnoHVcwYKxk01lNdaYT4qIefSRB+04rPsEZcSV3fc4XQlaO34GHy3IPIe9ZipbLIfVdTKz+ 3Sd4l7lFlZ1/ZS2nvBY1IpVCDI0daW6mfXI6R1eUrpCVzBqigZaF/oY0rdRpsLd96ulpi9Mh i/GsNwIA1UJ21PRk4sd0+MzyjQAmMWWKKzD6mmYdKkv8So2f5smmgKJwA3RB7wFsvXKoTASC PAMYPvmywltRa4odta3xa+G6hIuouaQLAYRGMkETlZU7BNNIx+LGEWTRoKrM9eog42nByE1Y PDZYCyN+eysyKmCWRnnZkaWUUTvUMDdUgehO8DAIfdqhQy81FbwPu83ciP82VVkVN7aXnuJO nGHdEYKglILjg1SGfWrIkdqHYbCn8lbrRV/EbaMtUZmqIRGnJDla1b3WEkh5Sh+/Q+hkZQWO fODEPX3SinhMwYw2YzRDUKclhzw12gaqXCf+Q14dddRDHgVd1+mA2DiTFMTJygxom1/p0rI3 i1qIpzc28Ay6xeLGBdfoyZmb7Wq9csws+Ka1Ka3JRGRiAqIb/GwD0Ykaclh5VIDyQlNlyFPN tT54mlrBHEdUlQvpRfyhjzudkrkUS4joRqd4wfV4+MqCixfx3ot1j4q0ZjG6XeC7ved1BmSt 6zVQt2JQMpkRs0ZsK88wray2kIrFFpmxDdAxQg3Vs4HEfgBPrgBPrrG0/UYTo1CWT5sCK5U8 lKe3RMMtNCKmT2SxUvS9XtePRYrSOUg1GBbcIXsK6dfNznQdj2VV80f9sV10vcuPRRRTMFPn pBXVpqczGTlZp9F62oKTIL/K0L5cZ0/aHHuoaN9fbkulV/bpb/B36gHxNlVjqBdmPiFJ6CtN XMO1O+Y5PwBzRT13nh4Nb28AaDwSvyJ9Z54mkP4GcsdjRWgm0z4iEM9Ad6ne2xm7Ezin2WNU GN9GCSsHyKybGhQEAKe1XcoG4WASjCz4IPDjmoRovll765UF3YmLx2yCAIfrMPRcNQj0bvpq Bqp4YMbIxkxIwBGmHSQeDEyEzGs1m8V1Ds64uH151zpHRx0V3TV6dJIIKRBUTivPix09HBhN 3JYRKPg2s0GKk3QVNjm54uImcOtR5Ulm0lFkKYMURUYDIexD+2sk7gNjbqI2XAUG7GEsXq93 uKidIzfc0I5WwdVs9xNuJAPSCiGoQx5KoH0Tq4fFrrKTGnhZ32wwgNs49FxLVX62DqnPwu1u 6aPtHjf6wsRtx1OzpMFW4ii2vt/A347nWrk+7nm4328KSoIrlMfhBYUylUBkrFVlo7rW+K4x cpnJL1l7iMiMngodQ3ovhu4iiZi0TzpQWnRkqU2NvJ8kpLggmw8F4zFEXWGF1coqBr0tPWyy /PphvfL2rl4IdLjaro3qBo3WdDCDBqv48/Xj5fvr81/Y8HEY4744d/YIKrg073UO40Az5hLo dO4UUxSQUmd6fa5j7rwpBK7vxF+/IJdki34iz3Vr3LpGe0v87A88cWTkAGySgiFfan5kh/bX kEVdp6hKNQDGNVvXFQpuDgCrHunoRy4AwEovQON5ZWZG6UD/PD8hkQeCDqpolPL1hvjiiuLm wq/5haMQR6J+ZxehEXsMkbe0vwGmKRx6B51qvMgdrXWoGSPWGL/6mLsa6+KdTZqG6/5A4P+P M18pyOT3SpQ4UNR5Z5aDOfQBFuuCeNoU+HRTEIg1Qmb8GtAyEBC408JTT4ljLIt2DGSUnlyw aXalpWBaxBlufzUXquS22xSQmqptyOjOVcPKKq6w1Vy9WcPDM5LtAWYR4Sg9AmBEKBtAU7DB wd6M2OEwtJs1vSMGRkhjl9khbdoIDdcIM82MTLQ+0xMQR72cwbg3E9z1yDwRDAH5TDDknIY1 u4AyowDYBEakueIKeekcrkvXPKTUn2hw04RF6MAp2t125Z0xwIitKUE43qwE4YsYIHhoAfTX yu8Ryz4C7Y/F/0shphLU1vpU4DMaGgmiDfEFxqfL8FMTYAzFKjAovA1Zkrcx6LYyvJwcEfKD bXA2AXh896pIvYN736M6iGZ4ZPzRqcxyUO2sZGvoq2GicEjAeh1NZL7e0GS2Yo6i0iNbiR/9 Hj/WA2gpbiXgzW5pKLTMABBX+FFJb4sjuI9O4ghnopN8ekwiuq06lRTEU7HiqQNSneRN9Ihv 1wF+zYMNaRk1Bdw8XTlmhkcepYGcVrIdZANlRkw4Y+jmu74qOlE2/Wg6vLP1jjtLtGtt2jPq WhchfBhOZTNOD6E3S+g8QY1Uppjfvv/54TQMZWV9xrnBAGCFU0XILIOkp/kYPwPhVG7Ve9pJ WJEUUduw7l451kxe7q9Pghd/+fbx/OP3J+RUMXwEBphiQDQFBoJDoMNz58RyISWmZd/94q38 9TLN4y+7bWh269fqkQ6JqtDphWhaelH3mzYLLi9T9cF9+niojAjYI0wwxzQjrxHUm43jTQoT heHfIaLkwpmkvT/Q7XxovdXmRiuAZneTxve2N2iSIWdCsw3pGPQTZX4v2rtMYkqiNIXMAOB4 5pkI2zjarj3al0knCtfejalQe+VG34ow8OkDCNEEN2iKqNsFm/0Nopg+y2aCuvFwmCmbpkyv rUMxMdFAMg3gxG5UN7xM3SBqq2t0jWhBd6Y6lzcXCXvgW//GfFTiZKPdZ7S5D8QGu1FOW/h9 W53jkyv960TZtTcbHkc1aC+XiQ4x/WgwT25739eCy3Kf7XCYIsYNAOJwpkxdFW6KHGN8o9Lb Qf+dn4Lqfb/TNVQSHD9GdWQCU2A/sEYNwU2/GAPLCzoWnSK78K7rIqvOwXfdKJM/llEtFbKu UMEmHS3oTTcTJCXVpJoR0kdllFdHChEkFFR/dNagSDKc4HF1aOhHrYnkmPkUAzzjG123hsA9 DrM1485MHL9FRfNME5nUrETxDSrOkvQKiZAoTdxE1RbkuDBpIuFEYN7bRPqBTyCvUdMwbPM9 4YroKG1vlloqeK84rRqqXok6RLpqYcZBcnldtTp3/coS8YPAfDql5ekcEZjksKfmNCrSWJcC 5zrOzaE6NlHWUYuPC17fIxDAj50LavV0dUQtbgD3WebCYAFfm5H8XiwkwaxQjai5/BZ55RJI utq6a6hllXEWbZHaQ21zmUbXkbZbEcBJqVjYBSrwUaOExYKtDb2HBOH4awDB0dckpDgYkEx3 5x0h8pyvDLifDL6JJr0+6QPENyHByoKsLUhkQjabkSU/Pf34IgP+sZ+rO5CKkCc3aizh+m5Q yJ89C1dr3wSKv7EptQLHbejHOw9Z9iiMEKGM+xyjYybuU7O4nB0IqHIJMsofTPKNS9lsBPcL Iyo0LqSJe6LCqB6aYRSneGeSDTgbQwlnBR6wEdKXXAgmeuETJqc5rgmfFmdvdU/pDSaSrAgH L/fhWYhaIJNfISVVK0feP55+PH3+gJi2ZnyAtkUvnBdqdM8l6/ZhX7e6cYtyqXYCxdY9l+0v /maKbpHLYK7gWjDY3g9xpH68PL3ab2KKBevTqMkf0Sk9IEIfe91PwD5J6yaVke/GgG40nQrR gNbEiPK2m80q6i+RAJUtze7r9Blc7hRfoRPFyh3Q0egicrQShRzREGkXNa72OwQinaRISyE4 UTycTlU2Mi0E/2VNYRsxw6xIJxKyorRrU8HP0LKAThjxOhVzdnEkVEGjdVVKabKchI73jRre +mFIeploRHnNHSunYAlROUR2JFwFVBSPt28/wacCIpe7dI0ngh0MRQmxN3AFZ0cktPA0kMBA 5qylNNQDBb5eNaC2WM1Sf+W0QDagOcuYw8N2oMjB4OlhsYw4LjvaY2Ci8LaM7xzC40AkRLFt sEwyXDu/ttHRmf4Ek94iG0xEan6T0uXzNaCb2n0VCnTGxUjWt+qQVKzM8rS7RRqDraiMK8yO LBZnNO0qOi4/cXx88gJaxTVOUt0Yu34KQIfOfGP9FXHb5JacOiBVfPEyicyiB7KyPzrWZ1l9 qlym8+c8dxodyDi7YlmT7jFDq0BViyx3NLjsjSjcjEEkQPDwWrb0w41EOewxlGIXPRLIRy3L 3Xzks+uCCSaxTHLDJx/gNcRyUaF5XZ8qSyUlwWYRdvKQBGTqVIXhTHdVAdAV8j4nuhJAtQM8 84x8IAJxsGqnbACugqssE93vcQLJ8PGCmStSEmv488yIqEgo8CFaBx6FuOi+CjrYzI4242Kx NkiLrZmkY/VJHDsa21/XOVMenoNdETxB3X0mOLx57zyWsVRLk27sELcfUgmvDd+lGb523ERx 46/p45XVY6JI8gBwNlrTN10jxzUi1oOYS6IjAnGPZrm8NNhJXlCYSRLnaakdsqzYOMf4lIJe AFYSUXEbiz91QU9yS2Yokp8wbse9UvCFLwyzCA3cx43jlWMkAq3h3yKybJYIGrCIKJETto4t z5eqxR5tgC5JWR8wskqTfKzD2eC4oVhYwFzEwEMsw+7RbiBvg+BT7a/dGKxmsLDmJKR5DEG5 iaYIfiB/RHfDCJH5WfRSJkRFJ1qzpbj523GxNWfe9hDXW2UVsF9e/Zh4cPWR53wtc8kJ4alJ jyjiDkCl0h3iRKJzGtZVVdQReYUA8iS+Qs+RAqhsMJXJ5mytKZso499S7RRc00EJ7qLIPE/L Y2oVavEOM1z8TZ9XA0XexutgRUX4GinqONpv1p5dqUL8RSBYCTyAjVDWoRowSTG91bwi7+I6 p5mqxSHERalsFFIUd/RUPi2MkwOlRWMC1HdjOvJjdWAt7gcA6zijgJGuzDAKniqblByQXGBe BcN9dycaJ+B/vL1/LCb8UZUybxNszLGU4G3g6LzEdoH1UZHsyNjRAzL0sJ3oAO6LmtIwyRM0 XBkLifH4ZEKK1iy1ZqyjfN7luSu1+T4uZAD2fL0PNwZKelmKrXHGcM74ZrO3Rk6AtwHldDMg 99vO/MRwNMKYupnyusskakS6MllyjFn3+Sz77/vH89e73/6cU/j+86tYGa//vXv++tvzly/P X+5+Hqh+EkI4xDH/F14jMRy5OKSz2oyQ7VlGfjMvaQPN84j0QjfIqPDQBskhehTiBiOD3hmF Yd8xwKZFenGtNOpElKeosgxVqRcrircByvu0EKcOHp5KPoRjmNjehBsgYJp7PV+7WisFiiQD sCmfnAoJ+Ze46r4JOVGgflZ7/unL0/cPOqmdHB9WwdvomQxaKgny0tgZVrRY2drqULXZ+dOn vuI4VTFg2wi8GS8UVyfRrBzDYMr2VR9/qBN56IO2VM32E8e7hs1w0nfnQWnsnPZMPtQCCtat MSu5zFYqDYWtrS9x4AUKYYKd16gKQgmr4wYJXAg3SFxJZ3QuRvsuoObdYNWUQTRtQQw4lYxE k+QBlk7iFphjFk/vsAjj+e5J7PmUWX2kyshRUdTJBL9WQjKADb48ZrsP5xZk4NzhHQESgB1l 3saCqWNiRbmeDxdruK6gnnaUCZkYzajYAjZkP8LliN3nKCXjRhHg3QZaK6uZll5IwPJit+rz nPQNkYXn2Ih5BFqFK9Vkz3lsVlGpje2ooe4iX/fon2H24Ix+cxjKYy8UV+vKN8BSm2o2BtIS OFrSgWmzSW976GrIT4/lQ1H3xwdrNJQGZF72GoNpB/OEZs38PNCPsa2H/fKOicUfQ40lJ6Cq akiQ68rrBTRtnm79bmUMFD7LJpCU2Sm4iicFSrO20dNAy4U6hTDXGufQHZ44Da9rIq9UW999 fn37/D+U6l8ge28Thr0lSc5qE+v7SSdoyhhjhrMBAYmxz7We65eVhW6bqtGDoJGdxWf46QxK Ev+jq0AIdXZbTRqbEnW1v9rrgzthCuruG7FFXPsBX4VYXLWwaBmbWBvDWXnUH+UmeOdt9Cjd E7wtso5qfB3lBRnOYiRo7sPVhvqyitPcYT00tX9yH+ZOm9CRlmIiLaL4lDbN44WljuS4A1n+ KA5iOxerOW95AnH57x1Jlsd2NVXnMrGcmhWVZVXeLCpOkwgyOztU5wOVuOwuaXOryjS/P8FD 2a06U3GltfxwbmjDzmmjyWBeN0tjYs5v0fwKL6K3xxUIMpaaagGTKr2y263n57JhPL095S07 2k1T2X2evz2/P73ffX/59vnjxysVxdJFYu4YcRCeyugYNcSGBu1WZMNjvt7l3saBCF2I/cpG pA9ncW8eGuQdDbsP8RIDQOblqKP2NCTu2Hj+SFFlhnQpBa8hx4NRCmseTF8hdZo6fJJlUeIq y7hRfGxcrhOwv5AGJ4Cew7EonZzK8fL16ft3IUTLBlg6Fvndbt11FsOnOmkxwAa+SGp6nan2 OrlZiU6uUX2w6gS7CNcXWQv/rLyVMVrTVUaI6IqgWZqAU35NrE8YaSQsUTIg1CU2GlEcwi3f dSY0LT95/s4qnkdFtEl8sVqrAxU1TxFZ7OMArihucFxMsa7zlcBLF242BsxO/j5OaZ858hgt rCjFHwmW5qcBC/ZNxprDFXmrNQj8/Tp0LhAgkRErva3R+AEjPjYQ2c4LQ3MO1ETYq4K14c45 jroib4QEnmeP2JWVEIPdvQ2u3NvG65Ac0sUhm7RkEvr81/enb1/s7Tv435jnk4IOyVyMOU5K R5x0OVpCInRcRmogwaeDDNwzo317mAY4NMj1qVTBB+bsDVCclmbG7MzDoI6zcGPtw7ZmsR8O ppGaGsIYWnVyZsnfGHLfrDiSsbAjq+eHRCxKP3Qeg9F+Ze1OrOmSoEmLh0vP62C/plThAzbc WSNqXr5q2CT/axVPuJXgYeXbzSo096cEh1t7FUjE3qNNYxTFQ9GFtJ+T2k1FGHj0K9CE3zhX p8Du9yiLCzHZw0MFu7EI7CcDNd1t6DBaUoMvmEcyZ9+weJl25OEv4b1RIX3q9UDSNEkc+J45 4byCeE15jtLCER2cZP/Fjgt+wduuqQ0eePulqVEnB+3IpQjiIAhD5+TVjFe8Me+xJvLWunW4 KmnMjT0bLdndUo6i/GB3d/qKwEr05eXHx59Pr0tsVXQ8NukxQmm0h7bF9+dabxtZ2vjNFUcv 8UDnYXHt3k//eRn0yJa6RnyitKLS9a/SFseMSbi/1plojAl9owkTzruSEU8mCsw5z3B+RMpw ovl6t/jr0/8+4x4N2iEI32G0bdAP0TYmEx66hcV5jKKdKBGNRzs/4nKoB0dE4QdofCaEUjZQ XwQrZ7MDSjjAFIH746CPG0oxialCullI26IjduHKhTBX9tz5dEUdcZjE2xFLaFgqmsQrI8Y3 KScjcyssP9d1juzodfhC5mJEJuO5UnVARD0gtHVvURL3hwheBTQrF3XD9aBHPeOwEwohy6JG R958ZlWgiTVhYM4B0RKBj1lttTfsoS1Cum3D/XqDeJkRFwu2i1LVT/irv/I21Jcw51vqdNcJ 9NWC4J6rSDLT3kjAD9zutwLOtmoy4rEEL5R0ePB3KO6vgcB6TRN5Sh6o9o/opO3PYp2IyepL 8mlymjLQvhKNMOHqtznxABVCQXZO8/4YnY8p1SZxTXs7l9GgQUQzcojId7AEY48Yr6GkhT6L YsK9fsWPCOBupWxNwEPk1DNiHGqAuSa5EogS22C78agSweTI2/rUm7/Wfm+92RENTdJWPtwr ku1ma5MA07Tb7oney2HZ76hGKRR9h000tb/1qYgMI4FYm2tv01HlSxQZAFyn8Ddk4wC1c5ie azQbUfdyBUIwWTkq2OxDev3qNFsyWcB0SBSHYE3MmRJ56Jolzvd2i7tCbjxYN/5+Td3XY2FN K47gDVXNOebeakUde1P3kv1+r4cEa8pNu/VC80AwYpDLn/0F+8co4GAXYITWV94xTx+CZaV8 wIacqcku8LS2aPC1E46274wpvJVPDRqm2FCFAmLrLpWOUoFoSPZKp/B2O0cFe39NbZeZot11 puPmjAq8Wx+vvRXVZ0B4DsTWdyDIvLcSsSEbeGqXm8cDskQe77a+R5bYQaLscnzdXZyY+xDy Ci3PXZFAKoPm6DC8mFL71nlq5Hq32nzAId0nOPi+kV1pu3pp1cTir4g1gqtCwdwNbM3PVOEJ 3/pLIw95iH1i+hOIjMyLgsAYyqgRzjb3kCiOagSoXFcbKp+IThH62ZH+ehPsNi5/R0VzJI3O R2wRe8EuDHCsial4Hp90R5AJ3gox9NwCw2Ujj/nGCzkxOgLhr0iE4GsjqnsCQdrMjGhlw1dS n57YaesFLifCYVoORZS6/PkmkjqlfSUHAngBwdfAPOubFXkmgXmYue3Mb9twZ5f4a7z2qQLF tdR4/uJizlmZRsfULpN4ZpxQ8pIl1rNCEA0cEJiZN5HY1EZH7onDQSHIbkvmcbN0PgCF79E9 WPs+cYRLxJo8qSXKEQEL0yw1CXhVj7pVAOGTFyBgtqstleEbkXh7utTtlmQHALWnmS2NJBAy iMsXUyci7aI1ki15lkpEsHc0b7tdL+1/SbEht5hE7an3KdxqasUVcR2sqMa28XazpmoTjKsf hFtaNzsVm5aZ7x2K2FZ12LTNTpyV1LvEzFHEyOZuXH/FNiDXbuEI76YR0Ao5jWBpAQo0dR4U u5CChtRGL8KAhFLbt6COx7zYk4tBwJdXsCBYGmuB3vgBwWpLxJpYKQpBNLyOw12wJXoPiDW9 /cs2VqpaxlunX/JAGrdisy/1BSh2O6JlArELV+Q5C6j9io7nMdHUMr/GQs3yZXGvDVZdGF7D Ax0NBgHB324dCJq3PkCiiowOATDd732cZTVRISt5fW56VvOaU4WzJtj4i9KUoBji9RMf13yz drzmTEQ834aCPbuxdv3NakspytENSu5DhQBXrHM+PLVQN1oQejfvHpSXAF8+K/rc91e7gDp9 JWZDfyNObOo4AMx6vXbdBOHWEWBzoqnFOCx1sS62u+26JXikukvFxUvW/LBZ81+9VRgt3WHi 6liv1hQnIjCbYLsj7vRznOxXlCAFCJ9CdEmdej65uT/lW4+0R5h6eC0GJttA8EPLCU6OC4GW mCMBpu5UAQ7+otolEPHS5ppdtEwhrEgFN0JcD6mQddBbp4bwPQdiC/p4sn0Fj9e7YnkHj0T7 pSWgiA7BnmizEMBA0WbF7EZ43/VhQByXvG05ub2ERCu4Kep8jT0/TEKXTonvaPMMRLGj1Chi dENqTbAyMmykdcziJSMIAp9Wi7TxbvkKa09FTNo+TARF7dE3pMQsXbuSgBxAgbl1DwDJ4kUj CDYeyfddWNTH9fmGtCmotuE2smfi0npG/o8ZE/rBcrOvYbDbBfTTn04TenRotZli75HaIYny XbGVNJqlmZEEJPegMHD2gUXschG5uJdagolQqG1Jam8EUuzd05LyR5Gkp4z83m3Mo5M4Ih7M WwZyfRTeqidlk0Xv1Gkrg9u89bJKqPPuVx6p7ZT8LQ46O4AgtrozwP9Iw9uoZRCvkYwdMRCl Rdoc0xIitA3RVkCVFz32Bf9lZRJbGYlHREWnG1fIa8NkXEjIqKfzlCN+TEZyrC6QGqzurwxH 56UIM9Bh8lPk8CmkPoEIfirE6OIn7tIJQr29BBpc9nrTb08noNs0ECbpJWvSB20dWJMHLCqj 5wTMr601y759PL/egf/p16dX0ulULnxexX3S8rEseukL0mC96m6UBiRUOZOVxWJZ/wc1q45P aFNMUQ6pTmkjwmSHyEYMJLr1BEE3UNlxikaI5RA+IcrqGj1WZ8pSZKJRgZhkkI4+LWGvJEQV EGtcOq+J0sTetKuSVv/WXF2fPj7/8eXt33f1j+ePl6/Pb39+3B3fxBB9e8OTNZVTN+lQDaxR d4GuPAG8ylpirNRDAIFQZpTLYBXcFNI4xSg+8KxA0gqYzTDS8tNqu59wtHVVEonmJuQMKfMY Yt6VYYyNGIK92YhPjDVgZ2RjRh9cYsSuZK/Gh1eqV2PHow4C3dGfp+15eUR4C+HTvWWiKH44 syZ1jFyUXCB5ipgzgZ97FOWsgPAbA3QuTMB33spzlJYe4l5I3GtcmHwmClMM5ILrW60EY6u/ fYnPM9bWsU8OSHpuqrGpZFfZYSeKpJsG7yW6Bek1ysSRjprEtsFqlfKD2WmWghTjKFZ0wCgF IFPy4tqIUdAKacLPrBoE2FHBqSbH4lQL8r6UId7iKmFkMDJlN26MuxCI1CBpyizQ33kBBpaX YXKmOrcr5zAINn1j1APpRAfHCbO7gAt2h53d6fkukLbgjtpAMECVjcyoWZGAh7td5jo1QiG2 7jJcFCST/2R0RSzLtBZybEBFwFMcaMrMuku2h2Surg6WLN6t4HBw4CFMY+RbG200UP/pt6f3 5y/zGR8//fiC8lKyOiaOw6RVXu2j/fONYgQFVQwXe6SuOGcHFBRXj1EPJHyIRaF/FTPIHEh/ PWL/H2NP0uU2zuNf8ZvD3OZ9WixLnnk5yJIss60touQlF73qxEnXm0oqU0kO8+8HoCSLC+ia Q7rLALhTIEBi0YEYcU4vtewlhYTSRqbUYQ/andEqdExCiZ0ScVXpoioRiVMNoXdJGZMDQYSx 0sJz/+ufH59/P7/+sGYhLfepnmcOIJIlpwzlfqhqxTPUo+558IAxnV5EkbjzotAxJCqBw4hw IgqELXP4QnUoEksyIqQRSTkci1eFIEi3QeiWZyqdkmhEs45cYFr+jn26eMcoLYxQe3qNhUTL +Cavzt25VSknwD51eXvHylfGd6D6VLSA6ZcisYYo1fn2aRRCn2fNWSeRMDJGz53AGCNCN3TH 7mj69W5Cu+S9lkAqrlIIyeMuO9ftUViOaIubuL5ixCsB9VAzMso+3tGMUi93YJs18G1LYptD h5GLOEukG1uEQStKoCasaTxaPvZxeyRDQRVNYvFVRczoxkgojHrPLCRDcujO/19CVMdse3+k nmJyK1O1YMQlzLvl9dhZC7YBxWJ3odi/TNNp8yvSL+kV/hVXn4akrOlEiEihB9VCWBQ1ZeQ4 FND4IgR441BXwSMzudsMa0wGzYEtOdkWAuvXMqJlh70FuvXJ1qK1/cscTbPp97073rPxtsWC 2QBGGrDbKI/OM8woPGuYisrwSYR3pO6PBddEnD7yE2uyVgTLtJRCxUwv1CT7APgYdVkrityd 85RSbRc4lkRqAp0EXUC+iAvsMXK0uZo0ThXIs4SQDjhbh5sLhSgD+dHzDtLkGAE/XiPYqsqr Qry7BI5jjyImynVlQ6aXRZzmxY6wDiMa+X5wGTqeKMZ+iB3dYHWY7gYw1VOUlMu9WMHZC3bW QBq+cR3VCH40AKcvgQUq1M4X00l2gW4dAuq5xneP8Ggd2j5rHNTs6muMFhDBhra3l5qkXsDu aM2X9w7fktMgoT1ieAA1UqPJuEfyBxABh7W823TnYu34D/YdEGyctUkgNXAuXC/0iU+iKP3A 13bY5B2tAYXWqsK0CAyiPtNsUYildy9yE2gKqzOCEF2EMOjRD4ZioGXgkj4EM9I15EvhPU2Z pN2RxtcG0DX5OD8hfVebvekWzxjpBFdML2d44FAwso7R+1vmlvWhHF30LyZnnnAg8dq+jqW4 p3Pc8V5OB2rhp8Q1I28e7UjleeuDdJX+UC+cayBNY+5AayzFhWLPLpjWpS46xfp2IcAQ+f2Y gYL3pexdstDg04l4OXlIBTJRrnEaBYnC1cO+orYbySYAKkpVhCVcGvjq1pVwo4b7uFlDnZZw Qs0kv8KFiAgRYaMijQcWmlmYMRdas+xXMK5sxKBgPJULaDjqSV/aOXEV+AHdqMBFkaVyi5ve QsB4sfUdsma0OfNCl1xogudKSBAhQssqChytv8pEUeg9Xh7zkFZxAX1Mq0QRxYwkkvFUsjQC yE1IGdstNKa/oooLog1dubBUW1M+hRqNLMqrqG3gWVFbW49UfUFBzcoO3Vuh9Lwz46MO5Ly3 +COZ987MTtcJ+nWZShGS0r5KE6kOBTKycUGupA52iagJ1nJQJRkTRcHWhtlcaMzHcOvRSwo6 mkvyFsTIsQ9UTECv56wFUuMW2uA7i2QGeaSIkhgOClrDlqj20eWd06jZ958yxV9Mwp2A+dnG IpAWB1aNinTClWjOJdV6G/NmhxEkMR7rkuVziDuMkkuWUPVMCXHXNokutt06spiGyUTlifT8 WUi4VzaxQ+4jRHF6i/GgjMJNSHdtVlsft1vk+EBJruAi31G1Q+XOhgq6rNBE3tpyGAhkSIWT WGjQvtbd+BZGMKuu71Wx8XyaHY8KKv2NmoqujotI9mIqvRrOfTQc3bXaQrS2d8vCwSRllWj6 pFvPETSmJRtJEli++FEzoYon5mGRwGFDXWYVTM7/u2v2AjKUdZp5WgXivRhEcnpUyZS0i0w3 ZV4kZZiBAuFy8wvUeP8WVRxCXzXn7vENry94FiEB2TEkaWNW8UOc1mcr2dj01Kzxmpa/Pf38 5/nzLzMIdpxLkjP80JOLIYgz5QIbQZYEGUJryzvlOfiUx5gBh+w14viZdRjat6ak31TOygA/ hpJhsOsdo6Bcg6bNEPcXM5GPwAnX/rKkoDwr9hhCRsUdSz5loaHKQFslx/TRTV3U+RW2+V6Z NKTc7zCY6d0mjh7ugFmQBljNFLTQtpyC26ujSuQsFAjrOm0gmEWM7C1QkvAcA4uXMYnDkdtw WI4fyoyulcPC3gOy43vS7cfn1y+3t9Xr2+qf28tP+AuzmyhWXlhuzL8UOmQoqZmAs8KV/Vdm OMbh70BV20YXfQUUtC7uSBESbd0cbQvbkspYJ2aqhu8wJquVS8k9buNUSUi2wMQFQtO1+iDi Ms0b6jIXkVXdn7JYuaWfQHOi46S7UHxCIxa7+kNAgmej1Q8+jS5Lsv0pxnrPDyQvkHov4kAV mCfctvxb2VllhgwiZRAmUNtlH/7t37SlR4Ikbrq+zQYQA8nMMXdCy9QLXH4yGeyXt+//egbk Kr39/efbt+cf3xYWey94Fs2SddqupFQCI2Kxhs7pHIMzET8Pe2HIN1LXO8ygw4l5vBOOOQTT OCeIpib7hKpg4aBmXws4xorsBCeFyFMqAnfTh7LW1mlXxNVxyE7webw/V3Om5ynJ4fQZEgul LmDz9vr1+eW2yv88YyKm+ufv5+/Pv57wupFY0nGaZptXFJsdci+NRt6YvYz3vMmq9IMXmJSH LG67XRZ3Y+bQU1wgmUnXgOJSNt293c3apAHdHA6hjz2GQtv1/HqOWfchovrH4dCSh2AQII4X mNA07dvRnNslZvTRzClnU57ppxWcMBqkPOf7CwWDUzTR+WVexlrQhgm6IbVVRPZpodYRm7u1 zOPcs6S0Fmw6iVs0gT2klkQbd6LilNp3+McLLWgjbleDnmoZwpRDV0mDhvAmroQEJ/Z1+vzr 58vT/66apx+3l1/qDhaEQ7zrhqvjO5eLswljfQ4mGmwORGdYfDJbr0QJ+3v45DiwOcugCYaq 84NguyF6CGPLhgPDqywv3KY2iu7kOu65h7Oh2NCdA7kPxJOHvcL5pwtzVjbvDCkrWBoPx9QP Old+DFso9hm7sGo4on0wK71dLOfEUciu6G+xvzqh461T5m1i3yFHzjAJ+hH+t/U9sq47AdtG kZuQJFVVF5ic0Qm3nxLLyv6VsqHooD9l5sA3ZN/sI/kRtJCYDx13SGsLiZBVecp4g546x9TZ hqmzpjpZZHGKAym6I1R58N315vwOHXTzkLqRt6XoeFzyHua4SLfO2iFrAuTO8YOP9CIhOl8H IbnQFWhxVRE56+hQqI8fEk19irGnYue7702oRL3ZhB6lVZHEW8clP6oS00Fh1s147wThOQss vawLYOqXoUhS/LPqYf/SKVqkIphmQ5ih1x2+Sm3pLAlSAZ7iP/gqOi+IwiHwOxsvGwvAf2Ne Y27v0+niOnvHX1cOuYiWyzya9Joy4B9tuQndrWU6JKLIsx4aE21d7eqh3cFHk/pk7+ZNyDep u0nfIcn8Q+xZmNNCtPH/ci6ks6qFvHyvWSRRn5btZIZqbZBFUeyAZsLXgZft5VtLmjqOjeNa I6r3UM/jheAZO9bD2j+f9m5OtgiafzMUH2EHti6/OJbFn8i444enMD071AsfQb32O7fILGNl HWwT+BB5F4bWdhWid9ZWpo22J0uNdYWBbC9rbx0fqesykzTYBPGxpMbQpfXQFbDLz/xA7/Ou AYrU8aIO2IJlkBPN2i+7LKavxTXiJqe9TSWyti+uk2gRDuePlzymundiHGTV+oJf9dbbkucF 8D0Qx/Ph0jROECRe6MnagiY9ycV3LUvzjKryjlEEMPQBfPv69Pm22r09f/lm3h0kaYXR6yhj UIE+wPrj9Rrei6gRrcWt0HTWAqgy8qIqlAVUg6yu6LYb174gKll/oa8dBSUIVwNerVJmv0KO xouHA2swjEHaXPAxMM+GXRQ4J3/Ya8d9dS7k6zz1euDSDE1X+WsyovK4Anh3MjQ82phy0x21 NpgPZ/iJschmZTrSsK3j0WYNM97zqQvtEYuCJrltugOrMK57svFhLl3H0yQlUBoPbBePllfh xnuIfVw2fIiN9GlR8SH9UC8I4RjeN2vrd4sertUmgDWNNLEFSzap63FHv9IBYQCzDl3gj8vG Xz/AhtHlYsGmzYNiG0+/RcL81+kpDEzhTkLpl/D6R1we0iYK1huKk5hsQC6edVV8YgZzn8AP HH/F0NqkyXu9bHnhe/ryXfSXtS0obB8z1TpU06Ndr/ctHwa+nSLR4RL5QUhHdZhpUFnxSMNo mcKXQ3PJiLW8dWZEyeD48T8quvuMa7MmbizBDWYaOE4DS+oViST0A9t14WlXX04szYx7ufG6 1VIqu+D9K15YimD1nDpHQN7Oqk7ctwzoyXrUqDD5WhtXaX3P9Lt/e/p+W/395+tXTPB7v6Ke yux3oCanhZK5F2BV3bH9VQZJf08vEOI9QimVysbI8Fu4hp8yHptPX9gu/NuzomjhaDIQSd1c oY3YQLAyzrMdKLoKhl85XRciyLoQIdd1XybsVd1mLK+GrEpZTD3JzC3WcmQInIBsD/pHlg6y bTjAD1nS77T2T3msJODD+ZpvuBUoPltODylqa3jvgr2HPZmTq/3PnFbb8JHDyRRfuTbypqTs AJD6CpqV56gXajIcF58uGrfqrojhXIVpVQfJSt7pywAz5NJfISB73Fd0g4hRd/NaZd24Ijmt qAIKIxaIpPA2Au6mwnqJbr2CD59p7QuQaoa7gMdXFQJBb4eWnWIDoJuRz2B7xo6Z4tGrCq5L KF+YAKDIIieQQ9DhJohb+PZqZDxytjjcu1qinTsIeHRRZJWSk1JCXnnHPvaZNqQJS72JLFhi JsTLmWVzdlfXi7QCI5CeGo3OukdoazrExCfgOhamwvQPEiADnWRuRqp+lLj9mXVrV1kNLI/R Yjvgj9eWenAHjJ/u1WVEAKiKSVZozQsE7SaInavrtK5dpapTByK2r7I2kIizSmcIsSVRrmBc 1gmH3VnC+WaZwsm/R5nzkif93vJ5K28E+IHsQBi6dOvAYI2TObitW2WGyntdWjqGWTSVXOwL TCRHy1N9m89Ym2uu2DCWi23EceBqTqg0yMvQVXRfUpgQB8/u6fN/vzx/++f36t9XRZLOVviG bQleLiZFzPlkWrO0h5hivXdA1fE6OYafQJQcRLp8L5s6C3h38gPn40mFjkKl8tI/g33Swg6x XVp761Ivc8pzb+17MaXCIZ5KtYrwuOT+ZrvPSWuFaUSw9Y57x9eLjmKzpVjdlT7Iy9IRcGdT lnld8Mcu9QKfwug+PVKdNG9fCEbLyvsAFoRII0CMYqH4mNTlcFbiBi1IHh/ilhym7i0jNXl3 zaf6k6Lhri2bj0JFujlINKMrhGUiN75DdlugtnTfCtANSQtFhSSUs5tKM7U4Hho4yo1OGojw 13hnRiw+CFLPTjDnYdHQbezSjetQu1nqRptckqoiJ23KJjHxn3e4zFweJEeMIyd9BEIboyVp fKmV2Eed1+qvQTyFgBheqf7mC8oQVE2SpOg7z1MSbhr2d3MxXveVGiVRzaor+O2BpSZzPWgJ a1i65P/q2qzKO8o/HsjaWLpx64lqplBjRjf4z9vn56cX0R1Dy8CC8Rpfh6TZRliS9OKBRm8l TtqevksTWAtDueNYa1TIe1qMF8gelELq4kTMW1YcWWXMZoZ2Efu9tc4dy3dZ9YgCzRpb6gpg RDL4ddWbndKf2ArVveLJg7AyxohjVxWYCINQo/LGc11K7RNImKKOoWvezgnUK1KBvjagKNmn GDZWXlf4RmglyUquTZeMLORwxSMkS+Q4OiOs1juWfTpmtknOs3LHWnOL71vKYECgirpltRzL HKGHuuiyowQTv2Ewes0nULSKlLrEF5V3m8jXlg86P38gMvSaqYA+ESnYVeA5LmCTqrATy87i EdUY9LU17E4VApbQhlUC12n9+Svetcb+6s6sOpDXKONIK86AMdXaOheJnqELgbKoMAKq+lRr MJiSieco/ZjhQ/qXpS93CvjRSDN4h4ullYBtX+6KrIlTz0Dl27VjAM+HLCu4Ah4/VljEEvZX psML1BF04HUPcp4xvDYbPzbL2EqWtDXGONTLlfiC1Fo/lrIvOkbsxapjOqBluQqqW/X7YBhX oMILa/ielO9PAtuZQZNVMEmVMYIm6+LiWtkPjgaYKkoLlmqBx4h31IQbNRfxlXePP5CmRXMl K7pFNc/6BbV1ksTGgIDXw8RZq5yewy1V8lp2XBIvuvp+E0m6MBKv0XCXxXSEqgkLuxfEAMvV mKDpq6boKYsOMdxS2zQ5GmjEXL4vu4MIRsrLuO3+qq96Eyq/YSdKXhWouuGZzkPwpS0vdVjb 827M0Sx3QoY/OuR7lKiGhlPv9wLv7T9lrca4zvF4sik1nRkr6862fy4MPgm1FqwX50euaIY9 6vKnawril5V/jIGfh0O/0/bSCE9gWkCZG38ZUljR2HZECdLHHOV9TlBOiJT3DOWk2IvuMAem LWujCrETDSjH6gxI+c3luu/OCWqD9+rw5W+UWC0xOmaCmp7xBT3kdZ2yC9krvQNSNGTGD/Rk jP42gFanZAHf32/S+lyhY8m0xZW4xHr1o5NDma74fkRww2mohM2wn1tdXByoMjNSaUFaqPqQ sAFfNopseoSRtBMMUag/JyHwnlhBWXMQGfA2keKWiO6Lhg1KlpqxqqrSIvwgWETzPcR8OCSp glHJtLhcomRVwcmVZEOVnSmfsjG84fOvz7eXl6cft9c/v8SOfP2JhtKKVQjWNscHRz2WkWEe kWoPTWHoYXEEsUwbYnqtYgxXVrKqbjVc3eUGAD0o0j7pCsY7E5kyLoKlZxdgjBUGXe93JtWe l8TycLE+Ip0r31k8UMQcLobyY7T3D56MHtd+YRSvv36vktcfv99eX17wslJXTsU6b8KL4xjL OVxw/41QpbcCnu5yOobWnWLcAAQUlqLKeMwp7HKPKKGypSM6tMXHVZjmoesIbNfhVptdrXSs 0UEB3fOCbp285BSLeuk91zk0SGSZEMxq7W4u5iD2sCOgMDXNIgmQ5z6otbYsUH3vcUKzZYWI 89079VuWpbc037u+96DXvIhc15yJOxgmq6ZQqmAqnD+jeLNBOzd7Y9MA1foQiLYF4lFZ/lym qOjJy9OvX1RMfPEBJrRsKHheK7xTLH05p9oEdiKAz5g0GaSb/1yJwXZ1i09jX24/4Xz4tXr9 seIJZ6u///xe7Yoj8s2Bp6vvTzAZY9mnl1+vq79vqx+325fbl/+CZm9KTYfby8/V19e31ffX t9vq+cfX17kkjpl9f0JfH8lvT96DaaJEMAQYawwX5BF6mraDbXaAxBKOd0TOL8DKjAqrIcIn T/1SxKKmLfXaJrj8OfH1ihEmzr0HZYYpAPAYYPnl6TdM4vdV/vJnDpxvnv/3ogZzGSuMG/0E QjDIP+OjlIHzTIjSq/zpy7fb73+lf55e/gN4/A3W+Mtt9Xb7nz/Pb7fx+BxJZglj9VvslduP p79fbl+MMxXr17iGjibXSWBOGCPRcsl1J0LPtiMcuJxnqKbtaRVGbQ3PeAbyoW2B0YSSpbJt iwydJ0zdWDPSPto7SclLS82svFgrJi6LKbIuy1ut43hahBuHBJqM847AYNZtXSgcTSy5hZP1 nIcW2zXBPqD3RP4QrFWV0SzVZyUjsx1POG+jDiNO+66/aIw/O/FMk8KKLK+76VJMFaKsh8B0 Pwv/D5ONry3lVZgO6pWxVNxE2YTKLmXzrax6OOAF/GRwTE6sIBjKPWY05x3635NWEGLwDOS8 3SmPjYFaWSx+XCBfn9iujTvSjVeMrQbFB74nYwbxTLQt2IFn3Xho7tkFPYX1TYgPVbLFMkKv QKctafbp/zi7tubGbSX9V1z7lFRtNryTejgPEElJjHkzScmcvLB8PMqMKh5rylZqM/vrFw2A JAA26Ow+xBN1Nxv3e/fXrAL7BdgDbOLov45v96b9yKGlW3X6P65vLebzkecFFvZIzeotK+8H 2jAptyxcDlxStfh9OWvaTpsE2P2RdifI9PTwgLPYFKVkn6dUiWnLTP/wJKZRVn/98X55fnq5 y59+0LVm8bDEdhwH6ZqrrGquK05VS1kgspAspy16K9WRw6lSj3ATic8r20+Ta/ti8nEt5eZi JetajkiyTw2hHj7VqCEx2/XRKU5AYyw2hJQ1BgCD8wSioVDBgOvHpk0f6HxUYMkJbptEoRyf dySPS/b8RJnQOj4S9PBGUxi7HT/nFvGvbfIrfLJyTJtUw+cmV3jgtclB3nFMJDramYFS2yoH 3Jlf65/RNas66PU0y5tQuWeFebcrsJToLoc0pFVnTZXNxtSqdpDq5Ki7CotuGYr2EGNcEaoH Y+3gX9mPZ2YVWb5N6Zlb5T1u20SldNmuGHSiik7KdPLKjbWWiLehrSUP8UzahLeCTD5uXUsT PS5KfKSZzwI6GjRJeOmFx7lFm8cPi95zaB+0IgqPBx1wnbKK7n610fq0VPCb5yYrZHhKqZMV PDL5gjFdrSSFDIqbFhAsT7nJH2nLUcOH35mehn60t8vzn9gGZvr6WLZkl9KaA5jSVS3/ZBCP Wll3KbCpeBL5jb1VlYMb9cuCDo2vIv7NjLmJEe1w8QaXTbNGdvXETKYw2rB4ZJN47FEsrnJ0 o8Hktg3sCkrYex0eYYEt9zPoDZXAap59SEhnOyiYHWeXruX4G6JlmbRuoGC6cipEvHU14jYu AlfG6J2pvk5dIMJzamNZtmfbqEkcCKS5DTHvFbw4xmBmZtZCISNjG+aZq5cCjKk8B9MUbFDo 0YltyaZjjDohMKq6AP5wJVuL+BMsAUBfx6GmJz4KtSe4vqWCL49kfwocbP5Wx3gfyRHqGDcX 0V+mKOgL06+lVOAaK3sEqu5Ip75GTVwDtiTjJyS2Ha+1Isw1iCevGh4y2gQkZxyXiRPJPv68 kjrX3+g9bBHmh/cVDkuqUbuYAArgIjtdHvsbG/UU4NrmcBMaWQV5ncaB/7cuKsV5kOlg6hls 9IJmrWvvctfe6ENAMLjBsTZHsQu0f79cXv/8yf6Z7XGb/Zbxaan+egVILOTJ7u6n+W31Z8n8 lzUCnEcKLQt6qANevLxv5GMwIwJ2zqKqIYJYtMXf4bl+eOj51OF3NLy1WEAEZJxpYmY8SZ7Q vnBtZirFPXJent6/3j3RE0J3fXv+ujr5N13k2/5irYVPurfLly/KIUh+OtGXsPFFBVB6lnU1 ciu6Ph0q/ByiCBYdtjVVRCaYImNqa54mimAsg9coHBJ32SnrPhnY6oudwhqfzOZHosv3G1wE vt/deM3Ovbk83/64vNwA4O36+sfly91P0AC3p7cv55velaeKbkjZZqns1aSWiRRaMC2FXZMS vS9ThMq0UyALNQ1g56mPn6nijgmyWk2ZV/1Ypj63hUG/6KRbYwxnftrKtoBDg18CZfRvSbfS JdafUjrn0yNOBc+SbdzIL4iMtXj1BapcKCYlEO0WYWVVKdOBkjHT0FedBxg1i5xNiA57zlb3 O4LmqG4hnJq6No4nwti9G+lqfA9To0PzqEx7mZvQXdL2aSkD1HbxoHglAoGueV4Q2dGSo+2e gXSI6WnpE04cXRP+4+32bElQfCBC2V11wD1XgG+Mz0B55alIp/sjSri7jA7V0nQJglnZ7XjP UPPH6HVTKb1pYixsRuRsNafF5eFkOwJZQab68TseyMEQEkHIkO3W/z1F7YhmkbT6faMWiNP7 yOr1EgEnacHTZ0UlCITeUiWnq/FAJV4QOlhyh09F5Bui2o0ySzj/hQhEB97gSOOzhIaArzBC LHMjNP6KWh3yeyS3fuziJc7anI5wNDqBIuGsfI0j6AuRngr4yyzV8S7y1aOMwtJiC2IibmD+ /OOv5Z3xVMOe3WnxLRSOIR7tKLR9cJ17NEsrGPbjyBRQ12uNGwNsOzJ8Wnrq3MiePCNjR7d3 Llqehg44FO1CEvAj2/SpY4h5IUTSgh7910Ztc6ICWEeldBftaQ0g5681ausX2HdtQuePaDHn Qbwqdc5DGnxj6CIbzzhVodj0sgAyFIDuIUkxOjoTAAePIiBPQHaAVuQmNMH7Tw3s0aZfaz2Y Tjx88qLzHtp+dMw5trPWgEVchxutehhqSZmIS9qp5eCI8g9WraR1HdcQBETJliEGhdxZN/Fa 0zZ9wGNvqVYIqz0sLqrW0LjO6iRPBTSAF5njr69esPZF/rAjRZbjG19JMvTW+7PjWdjSuwgn Ow3G7t4OO7K22hRe1EUBNu6izkUGD9B9ZE4s2iJwPLQrbh+8aHWgNrUfK5ErBB36ATqbmiMJ SAJyxLOR/vun8qGox35zff2FHig/6tXijWQltV1H/8+ykfQWsXQnhhaYc6qK0MVqYrxtnfz7 2vPr+/Xto6xLVthw3F8pwr7Kk13WSq+2CcRqZtaoGG1p8CLxTvjrApVYosxQ4pCWewVlBmhT xLQDKcs0VzPB3ttUSiU5MsBlfwMWKnv+IDLn8XEgfQbyKAZBm9OTj/qFsI2m1AC70xbsinTK 00ud9+pbTE/PvWUvut+Q1AqT+TofII2h2Muxd2eGVNZHlv2FuZmgozPM+A3+/EG5qZ4EEEBc 9jpqj2qZWnouQmsrT5AA7UCLXy7n15vSU0n7qYyHjlUXnveCGCww5p4DAS+mFxRK3h53kn30 mF1IaJcpcekfGXUmHPnHSs+iv4eiOqUz8JGcN+CakVSEwAhvjqKZcpFDyo3g9E8ZnZ2Acax2 WSoWjTFCiKkVMX0SS21Ijr0wzJlpYH+Ty/ZUh8TzwshCrOgFB7/PKaB14ywz2CAdOju4Vx5v 4sSRhnlNGoZ5VQt46onMkV8Z81+WRm4q1sK+ZMvAGPyVbSjStsURVkShh21OZxLFuUjm4Fe/ kgR7GcRsJkQhZsMM1HH+tMsqOpsUxZEZe0gLAXDUX7Q/MkmNWij3gBNpAf0A8yud+bOTckMM 6GT7oxLLpAQkUTrQ4pycUjWwS9yUdFrA+iXHGldTozmpme/GdkEv0vKICeMK2C2enBHBPCU1 PocI/pbkeYU+kwmBrKyPHaIYwiiYv4J5CEBeU9oDjrud7JgKOVLmx118wp1+TsygCOph+Zx+ eX67vl//uN0dfnw/v/1yuvvy1/n9hrkeHWinaXAvpo+0jFneN+mnrfooJ0hD2mKbuLYje44y No+5JmsLB4yPsJEGMU+kluW/dairicrv5tksmv2eDvfbfzmWF62I0TORLGlJ45QLF1kbjz3f mL8ha8lyeAheHeehHE5NIstYnDI5QMmyec1MjuSI0DJZOV/KDGyDP/ELF8sVKeqcVkNWOZYF hTUI1LHjBoKvJz1JBC5I4HMjF6UDBY9LK/MdJI2ExIawkpMAPWAV2Ol5FrAitITsU4yqWPdL wgZ64FnLBks6J7KWfQTISNdh5GUjMbKPk0OU7PRLclG4DukW9F3u21iVEzCOyyrbGfBLV0ks y+jSYADiG8cRM6ZzrHt8ayqk4oDuQ/boLDuO2joOHA/LbvJgO+aJhq5fA+kG4tj+svEEr8IZ RWZm2EGC8XKyrWO0s9FxSBJ0/BYJsVe7OBUpDMYWswS+oRgrD4ySHlwk+dZHL5MnvZk0Cerf Ro7vG84UU9vQP4+kiw9JtUfbDv5AKraFmtMs5XxkDMpsZETL7ACZCWd20C+Hz8x2+FWpke2s Zg0e9larwPVRJPmlXI/mMoemCBz5OULlhb1r/C6y0YphvI2tXn4tuCurD0ngyi+zFUtOnees 8bBOO3NxeypdzIDspYrBWrgqJi+Y671eWjmVTSyybmp2o5pE5nxQwknOXVlc6a8ujccyYisY XSCxjCadq8G6joxPJbsesK0ef6MUcnu60zrUCe5vOc5Nu6BfLWQW13wCW98GPGwr0iQO/vAt pH5rXLSg9ykgJZUaosNYfcxtm63zq0vYKLbSEFwkWa4OnENXAmyeHZkJBmo71mLqWcj0U6RQ M9hKFfjOcgfB6MjsAvTAwumh+pCsr4WrI6VkSwzWKTkHW4GbLvHRmbQN1payQkEkmlOhJzi6 AmPLdZyRlcWPNgrbPw4x/s6oDK54pVOUrPMOIZ1V4uVRQ3Bh2vEMfF7PMZbJEspdrSb/cCQc +Yg81FgCzOfQWAtJt4nWNy8lUxGsrm1UIDlivYgzwCnso4/bbF8sh9WpuI8spD/TnctyuYPt DEockO3cPf9XucxAFoq1UxU+ES+odDOZIEUbG351F2r4sMMHXFMdO+0k33T0dLlxcLB/yqTl N7EiunZvDW/wUWibdNLDbJTivFMXBD7+EM5YyujnljZ0SX+/CVfu6ZmEA5Y8P59fzm/Xb+eb 9nhCkoyOawd9/BY8gXY34pioqrj616eX6xfwK/58+XK5Pb2AwSBNf5lYGKEAkZThRGoyayrl REf2vy+/fL68nZ/h/teYfBe6+gFOTe8jbVzd0/enZyr2+nw2lnkumHIUo79DNfbFx8pEpBzI Df2Hs9sfr7ev5/eLktQmkrfs7LcCtGnUwfEHzrf/vr79yWrix/+c3/7zLvv2/fyZZSxGi+Zv RKgdof8fahA98kZ7KP3y/Pblxx3rTNBvs1hOIA0jXzkFC5IR2nnktzoY0dR5Talyk7nz+/UF LL0/bFWntR1b6bAffTvBCiGjdNTLkabVkPDixpHHMF+MefL6+e16+aw+MkHEaUMn59JL7Ww7 iVZp3qXDPino6QPf/O6yJn2k/yHO4vOdajvs6j2BMBjI4D+WWfupbWsZuhOgz3ed/nsgEG4l 8O6HXb7gbZMgcL1Q6S+CBUDSnrXFHzRkmRB7u5EEfDdZpCuCuyzoALJty77mEt2VT4EKXQex nzieAft+FrBRlV5kogcLeh0ndPRgNdiQKAoxDxTBb4PEcsgyJQjyZzsIPa1bXw4wNNIPtm0t MwaY7E60QTLG0drXcsYEcJWui+QM6D5C54FusCzwoHNrnQui5eAPg6NA3kaObO4i6MfYDhYx OwQjRHeZI79O6JchovKRGchXMlpSAc8xdGtUV2VayvF2GKNMddEkK1TXQyCa5uT7NsSNAceX FpgWGhXwb2SNEG0rXyvgbiNxjBayUJhX+Nv1zK9q8M9YSbDWkSdGRkMeVz4bERmWmeVRzxLV kX9k6t51I91U21MuH7GXypHbKqfQiVpnWFIGb/aJLWMG1JnH9gQCmeb9z/NNghVaLDt70t6n 3bBrSJE+VnpUixEfXFUza+mzHCxcoJvs0HAdWZonkEXllfhQgPcoZL0dtLc/wF8XPHaP1FR5 jmI5gQ72/K6MjYd8r1ipPOqAqCNdDiHSR8EErjUsbJDA9Gd4lNFC6Y9hW1QqJOiRPKZMDjdO YIYq8GELr/aPMDkQgwPYLNsdjmUCcD45imXQFyJf80NoSs/upjz0GakKcxZJnDaHBH8tBt4A W4zchLDNJUyqCzq0CsN+kWGx7AsD2DqL152TuqtqM389Z0zCkLM0TenJdUW/2jf4vQRA/hli qRx/y7r2uKZwFOkApBD3d9vXtLqqmA1LYkD7rXnAGxNztUaAb+qn2wLO0iiPG/bR6T4hNa4Y XCzva7IGRcr6NnOsamtnyFN8x6uJ1TjYG5diEOsnumiuyNC/lmU5w8noRczlirTMq8cVgdO2 wxukaM0jq4652Rid9Oojfnk1hQU3d5xR5MEQs5vNUwIeAm8dAR2xpXvJ3X1m6MKj1MHYyELA PI/UEO++xod7vlrGegqwvVYRzDgtDMy9DLCVO9KsKQHDc3bJTxuWypZdZpqOi7yfZoC1Lmao Ls5t2rXuybCkYx4Zd3mnxEBw2+/n8+e79vwC1wfd+fnr6/XlSg/Qk3sZigzMtQOcC9gEUu2M 1OxIrJVVAdz952npSR1ZtDq6mUgfxtV7pdh1wc1KV0UA7ypPIUKVyY1zlIsbeu427S6F2BFA aDND3xTVFR+NkJ2SBNIjxk5ccNdR5X75QLfX6fQV3lUKuqwQiAe9orw9stabNSkXFYLp8h3y UNVNujcBxo/Ch6qrc4M96ZRaU7l0p9Z1H+gie7ol3RtADw7klA5xLqHw0x9gKkh3/PdHOUqE EKTJpjVp1GeUoiqFEvnyXlARQ31MasXRTpWiR3QfS133w5M4beYr9wAay9eftiUmimKiinie SXOoP1GNvDiJ09Ay2szIYhs0+K0s1LL4mnFtKoRT1K1teHkZhcAinv67T0u0LHkVH0rCo8hg aaz42slSj/hkLYmcYvxuXxLZJqEdmZ+cR7Fd1tMZ1mw0A6XaF0O8PyI1I0z1T7FkkXp4pAdB uhVhYEp8Rn+5Pv95117/entGYqjSFNJTB27hckw19nMQWmbJbZ5MkvPcAzhHAIdJz49d4G3R 5QHNxHQcIVm+lQNsTtvm4qAA8dWx4SQgvCioEuy0w9WP6G1jEZntMpGdMzhpdtDn52C4b748 3zHmXf305cwQFyTo2Pms+4GotBqwlJgh6Q578Rz5AiGdtG1Hl4HjXnJ6qXbDaFStnJZ44iu7 DTO/eRiatFBRwcXV+rfr7fz97fqM+KylENlh4XY+Uen0YIhWgGjlqX3/9v4FSaguWvXFDwjM pB2pQc4sZRd5RmGOKnsRNsTAAYLOnczE5+wr2ZxWWQh7Bmeosf/QPv/6+fHydpYcijijiu9+ an+8387f7qrXu/jr5fvPd++AQfMH7UOJ9gb4je6jKLm9ql5U49sAwuYBLd+uT5+fr99MH6J8 /qLU17/u3s7n9+cn2oUfrm/Zg0nJR6IcqeS/it6kYMFjzJRhHN/ll9uZc7d/XV4A2mSqJAyB JuvSnrZCbLgDmtL859qZ+oe/nl5oPRkrEuXPnQIQBsce0V9eLq9/mxRh3CmoyD/qMvNuEq6k YEc9pix+3u2vVPD1Ko8uwRr21UkAYw5VmdDZQA3iJ4vV9DhAJ2lS6kcCTBZ2lS3dnSFDVZYD VKS2JrL7h6KGzoTZKdXLswiLMBedH/BnbWkPx6VRQfr37fn6OuLGL9Rw4YEk8fAbUeEJR1Zf OxFmVSj4u5bQnaClp7+4GRbk6c7B9TbYHlOI0f2l7flhuFALMQdc1cF25jCQLvwua5IBgAlz unwDtUi17krfVh8+Bafpok3o4pcKQqQtfB91uRX8EfsW0U5ZdFwBoDAaDrega1CjeN/AO+aQ 7HLAr8bic2XyxXoGfjial8xMG+ItSlbsWFS67jsqcQFdsSoBolJL7B5uxwfF0Q/IAvNI9uOZ l3Ewo2L/i28t5s9VnWMGWhjYk4ijKm7HwC/4DoJLiG/XE0+TaWjiVi7jnkbYuCinn5G4MRgS 9Lnr+SuGBpzfoki4jBsqthiMoL+wjGRTKtuC2BEagrcgjvyETH971uK3CAGv0hRE2m0R01E3 hS9HqLoOiaNoSogjz1EJcWXHD9p1m0R+hOUE5UGXkdCHQsmxm6fsKgvKfd8mG+Sz+z7+7d5W gD+L2HVUlF8SerIhnCCIUs8HFEHGmxu4QWBpH0QeCnBJORvftwfh0qxSdYJ6Supj2oD4sZHy AsfHDtBtTFRArra7j1zVFwZIW6KjUP7/Db6m7j0wS0V4suhkP9wktDZ24ysUW3bbgt8bZfyE ThCoQyd0NthZnzG0TzeR9qkXGqzQArmT8t9Dxm+hSEPoTjDXNM0CC5ujWYj2Djy5MIgGW0kw jDRrsY3Gl2FjwJ5ORiWnvzeqDwFQPGxwAGPTq6IbL8BWbgKWnD24DkgzAexarH5JiyKVFsc2 7X22RgSAB5WU5KWjUtLylOZVndLe06Wx8nJ+yCJPhus49IqHYlYSp9fyxnG1NFoXO16orAqM FOFjjPE2+F0W52G1BxstS7Y+B4KtgNJxSqQSHPkeDwgaIBVcEAbobVcR13Q3I0NGU4LnOCph o5qVMPMyQI0GrI7AgooyXBOXw+82r0ks7doJnI1azSU5hgrWLN8D0i2ZItaUAEA1NtE8NyVs 81xUiRHQtu1oFUuzR8f6qhXZ8ZImW0iONK+1ZBMlTrYdW8YfFEQram1rocJ2otbylSlVMALb YKjP+FSX7PDIaeFGNhjltMj19PK1UaDCHAuNDCvYkGBBd/a9XsGU0eWx53tYXzrtAttSm1Nc Gfajmv+rwe7u7fp6o2fnz9JKAZu6JqVLlQimoOqUvhA3Gd9f6HF1Yd0bueg8eyhiT9jVTXcd kwKu4ev5G4tVwYFm5CWsy2lP/V/Knm25bV3XX8n06ZyZdpYtW459ZvpAS7KtRreKsuPkReMm buNZSZxxktmr6+sPQepCkKDT/RJHAETxTgDEpVgRCT0VKrrNGxzJpkWTKWLL4NlkqSQMMVNB wJHfbMy+Y3ahSPnlYKCdBDwIR4PaDJOioAZ3iXDKaFMrB7JQlzEIVcsCB3fjBSf9rja30+Yg aRW1Zm+qOD6H+zaOD5jABsenp+Nz39Eaj6ckiSb6Bo3upY8+hSZZvj7BUt5ZEagRUDo0XrTv mXWSsggvurdUpTThFROoVI+9psUqGL1WGZWhcWhaGLhmtBvzcLXmxPLbqUXjMoH3Bw7PLoEa kRHSAYG5En/sGbKUPx7TLI5AzNCr/syDEMg8MgoAOF2CP9OzwgNgYBiF+xNvXDplMX8yRUwd PNuSmD+ZTRxLRSAvfcStiucpfp4MjWezigYPiFCXA0fTTe5vNDC4u+mUdjWCSB1MZ6+KvDIg fDzWWW7BwQwNIQaYmokjxF068UYuFNv6Qwcr5E/xzBGcyPjSEe8RcDOPkqEqFSph6kFYfOMs Ewjfv6Q6RSEvkWDawCZ6EAp15rUhlTvfiTMLrHO/uX9/evrdKF11jayFUxHRIUnf/vnud+eK 8S8EjA9D/leRJK3eXt17yYuh3dvx9Fd4eH07HX68g2sK8v5oA56i+zLHeyqS4MPudf8lEWT7 +4vkeHy5+B/x3f+9+NnV61Wrl/6txXiEvVoE4BKlgPpvy27f+6BP0Gb36/fp+Hp3fNmLUW7P bUO/MyDVJwo3HKEmKNDEBHkTRLUtuTczIWOsuZynyyG5ky62jHuC9dc3/B6GDwINjg4B7SRc 3pR5rXskpMV6NNAHpgGQR4x6G+xnaRQYKZ1BQxoBE10tuzjfxrKxh0oxBfvd49uDxna10NPb Rbl721+kx+fDG+bIFtF4rLM+CoC2W9BhD4akb3SD8hDrQH1PQ+pVVBV8fzrcH95+a/OurUzq jXSWPlxVWM5agRAxoO6YBcYbDNFEQvnm0zg0osm3VBX3dPlFPeMxb2B4JlVr/TUeC5bSx88e Gkyr2Y2JmNgFIenF0373+n7aP+0Fs/4uutHSwCIVZQOa2KBL3wJhJjoeTqxnk6mWMNTcxTbn 00u9Ci3EXHgNFL19lW4nSMWwqeMgHYvdAY2YDndwE4gE83cCI1bsRK5YfF2BUM5iWwqKa0x4 Ogn51gUnt4gW1zJLnaGec8T1AmDscAA0HdpfO6g0C4dfD2/kPg4WnSyh7iFY+E2sD3Ses3AN 6hY0JiwZ0Q4oAiH2K10xWYR8hnIDSMgMTVJ+OfLwmp6vhpeOFD6AcoQMDFJRzpQOlgw4OkSM EOE9bfMLIJGTj58nuh55WXisGOBoUwomWj4Y0Bb38Xc+EbsF3eud2MITcRIOkQ4C4zw6pJJE Dh1Mn67rTxwW5D1JUZLmOt84G3pYxV0W5cD3KLawrXOXXkvjf0vakz/ZiAk1Rin82HaMY1I0 EE34yXKGQ3TnBYQc0QarENWW+cLQtjwc4moBZEyq+qur0WiIVP31ehNz3c+uA+EF34PR3lEF fDTWQ3VJAI713/ZfJYaVjowvMXpEfABc4lIEaOyP6NWw5v5w6lHec5sgS3C3K4iuHN5EaTIZ 6LyeglzqkGQyxKH5b8XgiLEwKtRsgHizUnELd7+e92/qkoRgC66mMz2PhHzWj7mrwWym72PN RVvKlhkJJK/lJMIQbAVMbJAf3KrBi1GVp1EVlZihTIORrwIA4JNBformDtvqnUMTzGPn4JEG /lQPWG8gzKs5E01rAVqqMh0h1TuGG2sC44yOvWEpWzHxw/0RfXFGTgk1Wd4f3w4vj/t/kFgl dVRrpEpDhA23dfd4eLbmGbU5xlmQxFk3quengLqSr8u8YlXcxL3tjnvik/KbbS6uiy/g0v58 L+Ti5z1ukDT5L9dFRVsMyBw0lDqPLrphFZ4Fwy7D9O+ef70/iv9fjq8HGarBWnnyKBvXBY6G rzU8WHMx8zt3nmxJOyf8yUeRcPpyfBNs0YEMueF7l9ThHkLQRfOSxx+fUbOMyUwKCqNfOQXF eIAumARgqDs/A8AfWaqZ4cDh71MVCUhRZFc5eoDsHTG2upyQpMVsOKBFSPyKUmCc9q/AgBIb 7rwYTAYpMvacp4Xn4MXCZCVOBNodLCwEi0m/hjgRw+GtJSl0WTUOCuhSJKEnQ11gVM94I2pg OJdwkYzUi/2Acd9xISgQo0trJ5ZVpqGkNKAwmD/wkSi+KrzBRHvxtmCCjZ1YAFx8CzSkDGtw eznhGYJn2GPOR7MRuuexiZtpc/zn8ASCLCzn+8Orir5i7x3AqPrYbCiJQ/Dtiquo3pDmHfOh h3PMFGJPoayLFxAKBjPmvFyQqev5djbCmgEB8Un9BhShLXRgh5q8Eh2r44+SwbY7RrvePtsn /3V4FKwjg3ApeFV/UJY6XvZPL6C8xCscSykDBj5aaUFx6VXgzXS2U+yLcVpXq6hM8yBfF3p0 fD15RJQiF5M02c4GE9I/RqHQnXIqpK2J8aytvUqceDp7L589ZM8EKqrh1KfjFFF90gkYlSZr iwfwC9ULBhBLKUYAMLGezEwC4Eg0348KWmQEHL+Oq2BVRbTlAFDAWihycj0Auspz64NgIuwg B7fXxiMDvSJzUIIDBlmPTRqB3z9Rpkqk2z+YGfIAZETuBhCrUsE6VLo1p6S8DjAAMm4sKuMT TRKJpQlWcxsDZVLlkQnj3IbguI89tHGKQduTQMoExlM732pcfr+4ezi8aO6d7dorv4O/Dlaz 1IuYtAlhIbjWiFcQV2mW3RVdsODKjMwg4xMJrgOCK9NnsbrJFm/nQYXDELUbbsSjSjPp7/tH YeZlkHIxe5QdAtIdSLwaqSUV40MRVHGfu1edM6ubC/7+41Va2/d9t4wyUdfAiPfRA+s0FuJR iNBgwgxeXAg4D9L6Ks8YYD2MgmKaVD5iVZUlMmDXkaHzNR4Lxp05cCzZIP0kIGF+x+l2mn53 BMNXbduCq7vdQkAWW1Z70yytVzwOHChoq1EpaU2Gw5DAl1hRrPIsqtMwnUx0nguweRAlOdyl lyHO8wBI6ccDXb6iNVAGTUxveEDV+s1DrZ1EYH8O4cScBN0mASYIc9rPD9NFqRnxoj3n0Zzs egR8K4wU943vOCscXtRhEgmab4bXeM82VwXlQpzq22Sqgr1iQFJ0thnF/gSZziQn8qRuZpCn edumM2TdEtWdDkR/o/sieG5d6errMq4oHxNJdCV9uM1DR72fMjoDah+jrd0ps7DMY3TmN6B6 HkPMFdtJ3Azg1nYy0xT6bfZX/bE7wvoDUoJLI0Scuta6vng77e4kv2xu+LxCp4Z4BOVrBXlG OLnr9xSQ8FbbfQARrtP0BoN4vi6DSLoQ5ElkfqvBdsm1HR9syBaCAwgiezJXK7JXiXa3hYK7 Bz7kpJtoAUNkhQ/Q3qnTZdkRG0KTiQ82BYFszOzoN+MgGpvXWy0uZcFqm3sEVgWaIpqzKKPo NmrwRIuauhSgJlKMc2kUrVz9e2C+oOGt+4xeic6lZpHSPiEdAVvQbqcdQRbnvI22wII6G9EB sjt6tPksMLcsHussks4qdZaHjqoJopTxqkm6/hHNak2dixoBk/EyzGoIpoLaSyVqHoF/j/lG HpCcGMQcEaO37e/dNA0j5QuZrsFedHk586hw3A2WD8e6zAlQnIEeIGmKfV+pD3fHUVrnBTqM VIzIehMLAY1m3nmsu3/DU03FT+NJnNIFSE1loOKg6G80sdKp5ufcjIwnGYIQbZUquJ7Lg9nw G1R2QYdHIdzJE1p3rwzEwo7q67wMmwTz+lc2DDQTldj7OLgqcLLCgMt5LAYt0Gw+oy3ISviU aGH1HDz4xWhQPQbZx6SHv4qj3LH7WQiG2jcOvChU8JDlTdHpmXvERvDApI3DgncJ6druMAGx Akj/T1QsUwii1O/rXPdLkY8Q7lB6cHfBajTGsRTAhuyalRlqlwJbmSK/L9Kq3tAXWwpHqZFk YUGljRJbV/mCj2tdIFUwBFqI5iNAsOZGIrQ4RwS56PSE3dR4AvRQsYeHcQnhe8QP2QyKliXX TCzYhRC1HDGttLeA6aHjXGhEWzHAssUfEaaR6Lq8uLH4m2B394DjEC64XFTkymyoFSP6un+/ P178FAvTWpcyQgFSEwDgyrTFltBN6uAZJBakxyqxXioYJPPLBeNJGpmrCAmrOAlLPaiJelWw lKwMVhBwsVprdbyKykyvs6HpqNLCeqS2DoXYsqoqTWAMZya2gl2tl2JtzUmfUsGPLsI6KAVv p01XWfcV+IrESwiTpTpDm9zyp10CvUBgD1f3HciHBhuTCuSF53wJeRNlaeQci+SuVZP1/7ZY cA9NgxbSbAkDCy4FDdv5tsdDgjfYEcm9S5FxwUiz8ob4ajsodrndOJKN7Mh4FKwdu7GigYCx cCUA3gK53M25/b1bI2g+Qia3uf1GaSbvNfFrISSdwQepmHiCY8uodaaTiN08hwbaVVB4SKz3 4XcWbCNkDtEQ2nJhHrunU1Cy1IEq89R6r13XvMKuIPK5C/RyBZFG5jdCEP06HHhjLSFgT5gA n9COHq1MULSiWSSdSTXuqKx6CeQqcKOnY8+NvOVV6MZqCLvefY3anjlbf62KLT1RrF5ZqliT HtX/43pYNfj0+O/44e6TRdZKyBjexLbBwE4SxmAx8xDzOM+3fEHPN8EOQWReY89skQb3Ac8b z3hGN9oKYu4+OnL89ckgH9c0+1TmeQUU9HXDAkITR00CVcEuko1riOA4FDJjmBltCWMOkVLr dVhoQZ30b1C3KctSOgyLnTvXbGmAETYfobXog6bfU9N+sdFDcqkoKXTJm6+zUs+Jop7rpVgT Whc2UHfe5iAqVvTYB2L30ouCZ8lKkLlRJRayzl5DWEs4PSIifa2kuo4YREmDo31F1wmo1kXA HIFCJV4eca6KWIx4D3Wk8OnwoJ4qxJy4cezbkvAP6sevs7M0echcZwNzHxuzwrFQ9bTx4qHf Rg6vx+nUn30ZftKmbgKTLYwkczkeUe46iORSNyDAGN2QDWGm2C3CwFFTyCDxz7z+YY2nkzNf n9A7ikH0cRWxT7aBo26MDRJn1+FoBwaOcuhHJDPdjwVjzozJzGFphInGdMQUXMVLV9tjnsNc rKfOWgw9n9LZmTRDswCZfv2Dr1ovtQjXSLf4Ee7OFjymwda8bRGUj6SOv3S96BrxrmGOCg4d NRxaVbzK42lNy/cdmoogCciUBcCysgx/DMBBlFT6XV4Pz6poXeYEpsxZFZNl3ZRxklClLVlE w8sourLBsaiVikpmIrJ1XNlg2TZVJdQpgKvW5VWMTzGNYl0t0EwPEzoy6DqLA0vH3LrE6epA 5bO8v3s/ga3O8QUMEDVlBBxaupR/AyqZ75DjvpaaDsTVRiWPBUOXVUBYxtmSOlbmVqlVuRZv hQa00elZcPFUhyshIEYla2XEljNpJMw6TCMub9GrMsbK1zNCaIvCeiu5Pcjw9jDXE/lJyiwP ovyuWBlGmagxqAxBYyS5lwBn6bCIkEbDKmEhijATiJwhh+rywhFnfyHYTdBoqlst8sqLgU4E SgNh1OIPKbT4ZLX6+umv1x+H57/eX/enp+P9/svD/vFlf+pEjVaa7EdIdx1OeCpkk+Pd3/fH /zx//r172n1+PO7uXw7Pn193P/eigof7zxCv+xdM0s8/Xn5+UvP2an963j9ePOxO93tpltfP X3UZsX86niDU9wHciw7/7rCPawx3r6JRwZUU73XVr0BAKD0Yvq7yWLvc0sBdl0ZCrjhHPVq0 uxmd77+5QDvWFNZI3l6+BKffL2/Hi7vjaX9xPF2oQdAC60pi0aolijGLwJ4Nj1hIAm1SfhXE xUqfMgbCfgU4dhJok5a6dryHkYSa1G1U3FkT5qr8VVHY1FdFYZcAErdNKvZ6tiTKbeA4i7xC ren7FvxiJ02ClQC3il8uht40XScWIlsnNNCueiF/LbD8ISbFulqJbduC4yjH7ZSIU7uELh6h 0pK//3g83H35e//74k7O7F+n3cvDb2tClyjFqIKF9qyKArtqUUASliFRJE/tDhLb2SbyfH84 I0axR0LmFduO4/3tASzQ73Zv+/uL6Fm2Eez//3N4e7hgr6/Hu4NEhbu3ndXoIEjtISdgwUqc 08wbFHly07iLmfVk0TLmQ4d3nUEj/uFZXHMekSJ701PR93hDdOuKiV1z0w7vXAYUgOPi1W7d PKA6dEHpflskVk93UFIR0dZobtUyKa8tWL6w6QpVRQzcVpyog2BZrktGmRS3i291ZnR65Ae9 rhGyzZbaVlgomM5q7Qgm3/QJhLO1TXl2rw+uoUqZ3RErCrilumyjKFtvjv3rm/2FMhh55HyQ CGWgca5Nku5DAjGkidgvz9Ftt6aGCePnCbuKPHuyKDg1NxqMuUFY1auGgzBe2CuePD/PzKZu ikAuKFKj0B4y4dgqNw19GxaLZS1NMO2xLdMQuda328OKDYmqAVhMcR5RPp89jedPFBVdhD/0 /qwQqlr+kGBqVmxkA1MCVglWcJ4viXpdF74r0bc2jrWcf5BM2prRir07vDzgTAnt3myf/gKm 4nvb4LZ8Ypbm14uYmE8twlInm3g1qaiVyiAfTEwZ/RgUfRkOvDqAxA7355Sem1QlqqQaBTh7 ukvo+a/zakL2gIBrL56bDWF05tASyFEdhZGrAgsHz9bwAU6EqzzBihbI3BvD5aH0wbvn+ksj cReTUnOqus4XtKYEE7gGuEU7PorR9eia3ThpUPvUWj0+vYDDGRI4uxGUV6Y263GbW7Dp2N6R klu7tvLS0YLCjWFbo3L3fH98usjen37sT20cJ1U9i0/IeFwHRUk61rSNKOcyeufa+qjEkAyA wqgTy5rzgAvo+5eewiryWwzZZyNwwijs8QE5qqaE3RZBy58d1inQdhSUUKojxbrf2JJiR9EI 15T8J/FRJiW8fA5XtKQZectwwfkRZwtTF/B4+HHanX5fnI7vb4dngn2D0CnUASLhZUDMNIi1 0nAtjZfJORr7CFI2OJtIUqndhyxAoc5+49zbvfB1tgRdgLPRoaNnOjaqBKuOr8PhOZpz39dY NVfzkOxmEzm4mZUtxoDlccHCJoeSfeh0WJgQ5w6gnpCvmKMo5cUWOdIjWYTQisGYTsugEQfB GTEKCL4z+6Rq4HW4ms78fwJKkmhJgtHWlSHLIJx4VKQYg2osSvuwOhubrUfVOYcXtXCgs1hs ifTHFaoOssz3HfXTcgvZSM4W0dbI10oNlWCHycJZmuTLOKiXW5sHNfCmfyTjNymkTxRYuAio boqIRBbredLQ8PXcSVYVKU2z9QezOohAXx4HYN6kbKB7guIq4FMw+doAFsroKLoua0t32k9D IZfiEOUcbhnsAhQe1GdQDjktebyEC4AiUtbR0rwPamxcU6gjAcJs/ZT6pteLn+DUdPj1rFx/ 7x72d38fnn9pDjrSNke/nCmRebKN518/aQYBDT7aVuCS0vckffOSZyErbz78mjhTgqsk5tUf UMgTEf5T1WqtcP+gD9oi53EGlZJW2ouvXWAx14GaxFnEyloafermZcwwWJ+L5RdB6mVtvrXu mkKGzAK49imlN6A+43SSJMoc2Cyq6nUV67YbLWoRZ6H4U4q+mceGS0IZxpSDh2h6GtXZOp2L 6vYlqps3Pc5z524axJDOjRU2ygBLNgBspYK02AYrZcBURguDAox1FyClNb4msd7orgyxogXT mjXBZtCRHYiNSPCICDQ0BDSxEUj1CrmhiZpX6xoXMPKMR8hIuzDd+BqM2Iii+Q0VQx0RjIlX WXntyuSrKMRA0uVigQazcYFmeiM4iE691hNo3jdK5aWPfRbmKW5xg6KNLwEKbl4mHCx5gWPF otCt4roMqG44iqFUybQBqctyFKjJ+tHWohJM0W9vAawPooKYqj0TLX1lHUl8G5KYkZq6Bsuw A34PrVZi4Z4rl4sjh1r2DXoefDObZ9zl9P1QL2/jgkTMBcIjMcmtnplKQ2xvSXAjzRr7CnHH Xsoc0XmSI7Ffh4J5wdSBEl88gxpqrPY8WKEHaUtbydQuulWr9PzZsKSuEEfEOM+DWOxYQhRi ZamrF2DXE/ul7n6rQGAxWqN9FOAow1cmKyzzH9XinFhWKwMHCFGEvM43fSMAx8KwrKt6Mp7r tiv8Os6rRFNtA2mQIvYfQEVUivNCoiwGJNz/3L0/vkFglrfDr/fj++vFk7oa3532uwuIzfx/ moAqSgHpCooE8x7w1NDszzs0B+2zNFGntkKdSivot6sghy8AJmIk7w99lwh+LAV12fT/KzuW 3bht4D1fkWMLtEGcFG1z8EErcXdV62VRsuxeFm6yMIzUjuFHkc/vPEiJj6HqHgJnOSNSIofD edOfFlTm0yGzdkk2QJb7OuvPJClpVzGtO5y6Gw+9Rw3FuXsoV+3G/yUw7abys23y6k+Md3Go tz9HLdXpt+5KrwxrUdbeb/ixdYu/YCI6Ju6C5OLRONC93cQXhW7jrb1TAyZvtNsiE0pb4DOH gQQUHZAxbooO89I9288MGjnf8bCtRr23cUwhEsXT1HkAoXCRKXMv/qamQnXtELSxCAqyFV5a 51AuhiU1u3ktxJCRSMycRbKqqLeTlUbn0BErvVPrw+Pt/fNXrrx0d3y6ieO6SKY9o9nzFA5u xhBjOQCBcwVAVttVIMJWc5jFb0mM87FUw+kvM+0YZSfqYcbYYBS+eZFCVe7KF1dNVpd5qBR6 zcFFaCAZblpUBVXfA5Z3iSdiwz8QxTet9i6KSU7gbNu9/fv48/PtndEangj1M7c/xtPNYxnz XNSGWY5jroJbTWeoPf9Uop7cgqlBPpbkQQelmLJ+S4WRyBsvZaeE2LKrIsSSCsh22R5pAXcT vdphQ3rU3MeuAI6U92UnOum3cIoqyos9/f3k04c3zu7p4PDEWhR+vl2vsoLMpQCU4+UUlg7C XELYn5Vkv+CvAoUU9QhM7quzwT3kQwi93qFtqqt4Brct1Y4YG36EjobDxw9SCAOzC5NzHaQx u51xngNe9dmNItt4NWm+cS8SN1ykOP71cnODAWjl/dPz4wvW4XaIuM7QKAN6NhVeihvnKDg2 Wp++/36yfIWLx6WVkrPvB2DaNpMJkkp+mNEwKIowa8yzXxnEdOhH/tGhRIz+DIjTfQ/8LfS2 nCkbnTWgsTXlgGJCVnmJtwRNxY3yeLnOvDKpr1oc/6M47SiePUxSjYQxE5Q49+v6gSjqVV0O eHtTGNPo9YyIJJTIeWvYTTs14X3XLrhrS902QU1DYRTY3XKlOEbpW9g5ccGccJUYeboM2bDb MtsyBszbcQw59Du6FMs0m3I/SYJrN1jaSIcDm2ZBMPPhW0918GF4ivfJnjHbLgXr85GYYgqO AjPImKZkRQrLOKnsUeLsel2NG4sskxFhUApYancY0gZprgLuFxO3haS5OTHXUQdivwaxrzBA 1YCqv1e51ElAOxf1odtRQHj8KhfysRM++IpByn4YXfvaajPfKk0RyfE7mdMC1QvxzgMSajkV UcNcghKC6nRlDpzar+FlZzzGWudtmXbzLwIAhoAFek1Oc8HQ2HvGUKRrFKObdmG6oLl6Nplg 4LDDhbkToB2xUoe0PAwvm8q7LZtbiYJOT/zG5ZOCMZaCXyKpMBJdTqlSzMyZvi1Wz/MGoZa1 IPSF3we7ZM8FFY2iDkhv228PTz+9xTuXXh5YjNhf3988+QdFA5wSE/blki4eHAWcUS2VCxhI Gt44LM1oCB474ZpW3W6HJBDVBjK8uGg0wmtwzKudLHPcFwZOfIHeElbar+TqYNkXSjAABB72 WLlvyLSczDGdgzAJImXRykchuYF4NHF919eM83xAIvzygmKge+p7/DBQrbjRV1yojVi2K65I ffsUhlN4plTHzhB2pmAE8CLZ/PD0cHuPUcHwCXcvz8fvR/jP8fnzu3fvfnT8LOh4pi53pEbP edSzEtteuHWCHO0WAX02cRcNTKhcS5ld20MWncZofBsHdami01bDZxnHus+bZfRpYgicf+1E GTThSJP2MuO5lZ3zPrOkxG8lsGkDSJ6L2dCi1qwrlXoap5fCYIxwIu1weiUg/AHTs0mCubOg 5SMF54jOt95jkrVBF9z9lAHPXBKwrYnkfxCP7ZLKF6BJa1tlOy8HzW0/NHUZz4iFpvS3qEgg 6YawWoex0UoVsJHYebIiJJyxTPXfGCAOg9CjVSTWMxv4ykrDl+vn67eoLXxGD2dkkCDvaCwx YPPKG2hpyzCIKmOVnjDKst+BpHMQnfHqhuA+iNU39vvPe5jGZgDtUVsWAiKsxM3MXs+d8DSZ SFEEpouChfbgicXQADBQR5znhBlBJBS8yNQwn3IfTrwBQpLBRnWuJVOxLXTufW+4NnCIsEjW RzYCu6nglfZwDFYsGVPlFiph7HAUaG3yq6F1lB+KSFvIPOa6Tdvx53i5jheOAWQduuuzbi/j WPteWHxEAB6mctijsVm/As2UFkNr52vQsz7q1YBrUpBgWHSkByhYhIsIADFB2W2GqBOMXgwN 47DL0Uhnug6AuRkqBPLb5P45RLbmuSyUaVQXGHOL+F5oApICqP2m8nq0Gh0ooTXs3/5c/pyo P6tKhx0ZxJiK4kqrKLORkd88IxkKIwpbUl4l8pJ5m7fia6MAa8FYGz8xFg/BaHSYKBA0t2vD soAVI9jlnqpsiKYPa18Ge8FQoqE2z4LGTx90Axog7HwpJxvOJVhu82HWJObKTdRuIizgffkB lSj2ZNGB6lcRR8DcKKZF0XBiloQRYurxPF/6qoE9GqLuMRLIXAcUHfe8CbjmdDRhRNuyQ27h 1svWWnXd2eGyirx8ODsekTKc9zT+Gfuk2c2u85DB0dSlFUn31VLIAupc9pO2XKGqIfNoaaa8 9MgOkyD3TWpYZ8GQT0RFsL2liw9E55wvC+CX+7w8+fiJy2aHlhANelsluocduwvVsS6NWdh3 xnAdAYMTSVzff/9VkkACkTJidbHIGeOorK+urDPMq0iP2QbGcUUscuzkpxJ9FZtd4gEqOXtZ +PmXRoGrNuQxTdkkFuIQalvhC2MsB5YjlzyflmW2hmreX/oX6DmAhCNsxhjpzzpOop6fcQqS C9JGcSwxAF225sOnR+ksX4HTMouOX2+eyEUhym8dGZBQdwt19bGZuNo7CICe78G2s0ONGFt4 Ghnh0idl18M8HJ+eUctCi0L+7Z/j4/WNczMbWbUcwxi9o7GIh82+lZvb1CXt0IgHMJTEp1D9 nHGszoEeXrql7g/20UlHOLmnZgyPB2dlpatMDpdCIDshIl+H3LNY3IN62aJC/IoOHFeY+3hd 57YAywKZmdhZ3rpp12wn1XACtxeG3XS+SRIA8ukBYiXJXGwioTwfERH4YTKEYZVyotoXHMDw Lxx/kP7SaAIA --HlL+5n6rz5pIUxbD--