From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [V3 4/8] drm/i915/dsi: Add check for periodic command mode Date: Wed, 20 Nov 2019 04:05:08 +0800 Message-ID: <201911200415.FwxROgO0%lkp@intel.com> References: <20191119123316.5094-5-vandita.kulkarni@intel.com> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="myz6myfv32gqcuvi" Return-path: Received: from mga14.intel.com (mga14.intel.com [192.55.52.115]) by gabe.freedesktop.org (Postfix) with ESMTPS id 855B16E393 for ; Tue, 19 Nov 2019 20:05:46 +0000 (UTC) Content-Disposition: inline In-Reply-To: <20191119123316.5094-5-vandita.kulkarni@intel.com> List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: intel-gfx-bounces@lists.freedesktop.org Sender: "Intel-gfx" To: Vandita Kulkarni Cc: jani.nikula@intel.com, intel-gfx@lists.freedesktop.org, kbuild-all@lists.01.org List-Id: intel-gfx@lists.freedesktop.org --myz6myfv32gqcuvi Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Vandita, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on drm-intel/for-linux-next] [cannot apply to v5.4-rc8 next-20191118] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Vandita-Kulkarni/Add-support-for-mipi-dsi-cmd-mode/20191120-015713 base: git://anongit.freedesktop.org/drm-intel for-linux-next config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.4.0-14) 7.4.0 reproduce: # save the attached .config to linux build tree make ARCH=i386 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All warnings (new ones prefixed by >>): drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_configure_transcoder': drivers/gpu/drm/i915/display/icl_dsi.c:718:11: error: 'TE_SOURCE_GPIO' undeclared (first use in this function); did you mean 'DP_SOURCE_OUI'? tmp |= TE_SOURCE_GPIO; ^~~~~~~~~~~~~~ DP_SOURCE_OUI drivers/gpu/drm/i915/display/icl_dsi.c:718:11: note: each undeclared identifier is reported only once for each function it appears in drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_config_util_pin': drivers/gpu/drm/i915/display/icl_dsi.c:999:10: error: 'UTIL_PIN_DIRECTION_INPUT' undeclared (first use in this function); did you mean 'UTIL_PIN_PIPE_MASK'? tmp |= UTIL_PIN_DIRECTION_INPUT; ^~~~~~~~~~~~~~~~~~~~~~~~ UTIL_PIN_PIPE_MASK In file included from drivers/gpu/drm/i915/display/intel_display_types.h:46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_deconfigure_trancoder': drivers/gpu/drm/i915/display/icl_dsi.c:1164:20: error: implicit declaration of function 'DSI_CMD_FRMCTL'; did you mean 'DSI_CMD_RXCTL'? [-Werror=implicit-function-declaration] tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of macro 'I915_READ' tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ drivers/gpu/drm/i915/i915_drv.h:1981:57: error: incompatible type for argument 2 of 'intel_uncore_read' #define I915_READ(reg__) __I915_REG_OP(read, dev_priv, (reg__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of macro 'I915_READ' tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h:46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:287:22: note: expected 'i915_reg_t {aka struct }' but argument is of type 'int' static inline u##x__ intel_uncore_##name__(struct intel_uncore *uncore, \ ^ drivers/gpu/drm/i915/intel_uncore.h:302:1: note: in expansion of macro '__uncore_read' __uncore_read(read, 32, l, true) ^~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1165:12: error: 'DSI_PERIODIC_FRAME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GEN6_MBCTL_BME_UPDATE_ENABLE'? tmp &= ~DSI_PERIODIC_FRAME_UPDATE_ENABLE; ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE In file included from drivers/gpu/drm/i915/display/intel_display_types.h:46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/i915_drv.h:1982:65: error: incompatible type for argument 2 of 'intel_uncore_write' #define I915_WRITE(reg__, val__) __I915_REG_OP(write, dev_priv, (reg__), (val__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1166:4: note: in expansion of macro 'I915_WRITE' I915_WRITE(DSI_CMD_FRMCTL(port), tmp); ^~~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h:46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:294:20: note: expected 'i915_reg_t {aka struct }' but argument is of type 'int' static inline void intel_uncore_##name__(struct intel_uncore *uncore, \ ^ drivers/gpu/drm/i915/intel_uncore.h:308:1: note: in expansion of macro '__uncore_write' __uncore_write(write, 32, l, true) ^~~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_periodic_cmd_mode': drivers/gpu/drm/i915/display/icl_dsi.c:1318:16: error: 'DSI_PERIODIC_FRAME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GEN6_MBCTL_BME_UPDATE_ENABLE'? return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_get_config': drivers/gpu/drm/i915/display/icl_dsi.c:1341:14: error: 'struct intel_crtc_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags |= ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_compute_config': drivers/gpu/drm/i915/display/icl_dsi.c:1374:13: error: 'struct intel_crtc_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags &= ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_periodic_cmd_mode': >> drivers/gpu/drm/i915/display/icl_dsi.c:1319:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ cc1: some warnings being treated as errors vim +1319 drivers/gpu/drm/i915/display/icl_dsi.c 1305 1306 bool gen11_dsi_is_periodic_cmd_mode(struct drm_i915_private *dev_priv, 1307 struct intel_dsi *intel_dsi) 1308 { 1309 u32 val; 1310 enum transcoder dsi_trans; 1311 1312 if (intel_dsi->ports == BIT(PORT_B)) 1313 dsi_trans = TRANSCODER_DSI_1; 1314 else 1315 dsi_trans = TRANSCODER_DSI_0; 1316 1317 val = I915_READ(DSI_TRANS_FUNC_CONF(dsi_trans)); 1318 return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); > 1319 } 1320 1321 static void gen11_dsi_get_config(struct intel_encoder *encoder, 1322 struct intel_crtc_state *pipe_config) 1323 { 1324 struct drm_i915_private *dev_priv = to_i915(encoder->base.dev); 1325 struct intel_crtc *crtc = to_intel_crtc(pipe_config->base.crtc); 1326 struct intel_dsi *intel_dsi = enc_to_intel_dsi(&encoder->base); 1327 1328 /* FIXME: adapt icl_ddi_clock_get() for DSI and use that? */ 1329 pipe_config->port_clock = 1330 cnl_calc_wrpll_link(dev_priv, &pipe_config->dpll_hw_state); 1331 1332 pipe_config->base.adjusted_mode.crtc_clock = intel_dsi->pclk; 1333 if (intel_dsi->dual_link) 1334 pipe_config->base.adjusted_mode.crtc_clock *= 2; 1335 1336 gen11_dsi_get_timings(encoder, pipe_config); 1337 pipe_config->output_types |= BIT(INTEL_OUTPUT_DSI); 1338 pipe_config->pipe_bpp = bdw_get_pipemisc_bpp(crtc); 1339 1340 if (gen11_dsi_is_periodic_cmd_mode(dev_priv, intel_dsi)) > 1341 pipe_config->hw.adjusted_mode.private_flags |= 1342 I915_MODE_FLAG_DSI_PERIODIC_CMD_MODE; 1343 } 1344 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org Intel Corporation --myz6myfv32gqcuvi Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNJH1F0AAy5jb25maWcAlFzdctw2sr7PU0w5N0ltJZEtRfE5p3QBgiAHGYKgAXBGoxuW Io8d1dqSdyRt4rc/3QBBAiQ4SbZSaw0aaPw1ur9uNPjtN9+uyMvz4+fb5/u720+fvq4+Hh4O x9vnw/vVh/tPh/9b5XJVS7NiOTc/QuXq/uHlz5/uz99ern7+8eLHsx+Od7+sNofjw+HTij4+ fLj/+AKt7x8fvvn2G/jvWyj8/AUYHf939fHu7odfVt/lh9/ubx9Wv9jWry++d39BXSrrgpcd pR3XXUnp1VdfBD+6LVOay/rql7OLs7OhbkXqciCdBSwoqbuK15uRCRSuie6IFl0pjUwSeA1t 2Iy0I6ruBNlnrGtrXnPDScVvWD5W5Opdt5Mq6C5reZUbLljHrg3JKtZpqcxIN2vFSA49FhL+ rzNEY2O7ZKXdgk+rp8Pzy5dxYbDjjtXbjqgS5ia4uTp/gyvcj1WKhkM3hmmzun9aPTw+I4ex whr6Y2pG76mVpKTyK/nq1dgsJHSkNTLR2E6206Qy2NT3R7as2zBVs6orb3gzzj2kZEB5kyZV N4KkKdc3Sy3kEuFiJMRjGiYaDii5gMGwTtGvb063lqfJF4n1zVlB2sp0a6lNTQS7evXdw+PD 4fthrfWOBOur93rLGzorwH+pqcbyRmp+3Yl3LWtZunTWhCqpdSeYkGrfEWMIXY/EVrOKZ+Nv 0oLamOwIUXTtCMiaVNWk+lhqDwOcrNXTy29PX5+eD5/Hw1CymilO7cFrlMyC4YckvZa7NIUV BaOG44CKAg633szrNazOeW1Pd5qJ4KUiBk9MpAlyKQhPlnVrzhSuwH7OUGie7qknzNhGIyFG wabBwsFxNVKlaymmmdraEXdC5iweYiEVZXmvmWDegfw0RGnWj24Q2ZBzzrK2LHQs2oeH96vH D5MtHHW3pBstW+gTFKyh61wGPVopCavkxJATZFSOgZAGlC3oamjMuopo09E9rRKyYhX1diaQ nmz5sS2rjT5J7DIlSU6ho9PVBEgCyX9tk/WE1F3b4JD9GTD3nw/Hp9QxMJxuOlkzkPOAVS27 9Q0aBGElc7QANyDSisuc04SSca14Hq6PLQsOMC/XKER2vZS2vPtNno1x7LZRjInGALOaJfr1 5K2s2toQtQ+H3BPDZg5WNO1P5vbp36tn6Hd1C2N4er59flrd3t09vjw83z98nCwSNOgIpRK6 cKI9dIHia/d/JKdMnM5R0VAG2g8qmpDDlNZtzxMc0MRrQ0IRwiI4OhXZe54h4TpRxuXCLBrN k4fvbyzUcGpgibiWlddodqEVbVc6IXiwLx3QwiHATwA7IGEpfKFd5bB5XIStYXmqahTcgFIz 0EyalTSruDah4MUDDLZ14/5IWlu+cWhIJ5EQApoCbAcvzNXrt2E5LpEg1yH9zSjHvDYbQEEF m/I4jyxgW+seEdI1zMoqBr/c+u73w/sXwMurD4fb55fj4ckW93NNUCONuCO16TJUpsC3rQVp OlNlXVG1OrDStFSybXS4dWDPaXqlsmrTN0gslSO4eYz8C8JVF1NGlFqAkiR1vuO5WSc7VCZs m6zSd9vwXJ+iqzwGajG1ABG8YSoanKOs25LBsqWaNoBwwgOMpx7H0VMSzHK25TSl9no6NJyq Ez89popT07MmN6XHASCCwQZtFAAzMDp18BvBYB1JAAxfQVFKP8P0wrY1M5O2sFF000gQfzQO gD5YctxO3NGFmMnTWGevQUJyBnofcEy8/15AUF8GjlaFKnRrEYAKXTL8TQRwc0Ag8ExUPnFI oGDih0BJ7H5AQeh1WLqc/A58DPAcZQNWBdxExFV2M6USpKYsWrlJNQ1/pJTnBIQ7NcLz15cR xoc6oIApayzAg9lTNmnTUN1sYDSg43E4wSo2RTiuRTU+6VSAV8JRdIJxwOFBON3N0JTb21lx sQZ9UM38jwFiROp1+rurBQ+d7gBCsqoAU6JCxouzJ4BuizYaVWvY9eQnHIWAfSOjyfGyJlUR CKCdQFhgwV9YoNegdwNQywOBAkPfqgiEk3zLNfPrF6wMMMmIUjzchQ1W2YvomPoy9BISWzuQ 7WrgKUP3KMI5TeG7Tx5eFATrqBapc2stFIZTxvECt5pONgkcjcjLgMosz5OawIk09NkN2Nxa yz4e1RyOHx6Pn28f7g4r9t/DA6AeAnaUIu4BrDqCmZjF0LNVsI4IM+u2wnpXSZT1N3v0HW6F 666zSC4Sc121mes50hNSNARMu9qktWZFUuYKeYWcSQZrr0rm4wlhD5aKNhHxVafgSEqx2NdY cU1UDo5L2k7rdVsUgHMaAn0OrunCQC22Aj8Tg2uRzjBMWO8P43y84HTicIMJLngVnRSr+aw9 ilyUOK7mK1+/vezOA80Pv0Mjoo1qqdWnOaPgMgdnTLamaU1n9bq5enX49OH8zQ8YGn0ViTws tvt59er2ePf7T3++vfzpzoZKn2wgtXt/+OB+D+0QEYIN7HTbNFHUEIAj3djpzWlCBGja9iwQ AKoajBt3TufV21N0cn31+jJdwcvfX/CJqkXshliBJl0e2lVPiFS34wpeUW+0uiKn8yagh3im 0LXPY0gwaBoUKVRk1ykaATiCMWJmrW6iBogVnM2uKUHEplEsAHsOojnHUrFgStZX8SSrvoCV wuDDug0j0lE9e0aS1dx4eMZU7SI3YB81z6rpkHWrMWC1RLa+gV06UnmIO+NgRUp7zQdDsqc2 OhxwWDotmqWmrY3GBQqtAFvOiKr2FINOob1rSucGVaALwZ4NjlQfddcEtwYFHtefURfVsgq+ OT7eHZ6eHo+r569fnFcbuEs9mxsJ7SNZi4aNUykYMa1iDjLHJNHYmFcU75JVXnC9TmJSA3DA 3R0M9ZGNk0BAZiptMrFOxksYWYIrEtm1gU1FQRlRS9Q6NaqoAqhBVsGpTevosca7liyYl7FO 1ei0y4VViBhHuez3cKmLTmQ8CsH0ZXOfJupA5fT8zevrRTpIZg1CBjJT52CXFlZ0ENU+iA3u atWq2c4BM654yiFyfowUHHQ/eBigoNDUxK7keg8HG/AaYPqyXbqRERdvL9OEn08QjKaLNCGu EwMWl9amjTVBTwBsF5ynGQ3k0/Q0PvDUizR1szCxzS8L5W/T5VS1Wqb9TMEKgAlM1mnqjtd0 DQ7wwkB68nn6uAiwJgt8SwbwoLx+fYLaVWnhFXSv+PXiem85oedd+lLKEhfWDoH1QisAYmLh fPTmNVaHVsBrnIKzmy6wdRlWqV4v05z2QP+AymYfs0Zs3YCKd2EE3YqYDOIeF1DRXNN1eXkx LZbbiQrnNRetsDq4IIJX+3hQVtmAzyx0AOqwMmgIN+J5Mei4eeF6X4aI1BdTOAikTfAGAFdr wQDShsDTU2/WRF6H9zzrhhnnTU7KGLjfCH+UCZYoDx3i2oILjXge4EXGSuD7Jk0EKzPCOk/y jsKUMBY4ZahFCFJtkaDzEnTaZbxJ9nq5I81M4GSiUDEFoNuFSjIlN6zuMikNhvCn5pvOFDoU YVi2YiWh+wXZF/YqKdp5X+x2PjZ4NeXoxYmkofMN8T5Nr8FKJwYEnf0KyGahtVkzcC0qcHwi 8BM4mZ8fH+6fH4/RdUfgzfpzV0/iILMaijTVKTrFi4toRcM61vDLHVOxrundroXxxmvhdgUc 49jwBTVeX2bhFZ/FRroBdGnP0MDMSFA/WfqCnr/dLDBXDOUImLm4uNeSnCpJo3vSoWgqJiNh IigjAUTA6dGCLAtMqIt6AMkjfrXEWzjALqmAiKNcRLGDvvDyIhUstm6HLAoMXp/9Sc/c/yb8 5qCWIMgyXBtOUwjJugQF6CZoDIqFJJwVi66XyawCmfcIDa+qg6XmFUpL5WEX3vC27CoadGPY ZBnRtgDSlhrDTapt4iCCheEgATAqIny3Y0XXfKqL8C4dr3p2V5cXkWld95qZxxDEVzAqgor4 G50dbsANTUVHsDdwqydLBGZTgwuFh5vE9y+W7CI48ZC1IBMHqNcPIgyGs4JHP2CrozASo+jm RxJ2070+O0snHd10b35eJJ3HrSJ2Z4Gxu7l6HUilsyZrhfe6QcSTXbPAXFBF9LrLWzHJ8YFK 3a9t0t1q1nvN0RqBbCs8Dq/j06CYjWDF4urWGeP3GDaNV9c6+LZVGMf2vZCKlzX08iY+ciCE VWvRQBR6HYQzqJBeV+e8/2W1PlazzXU6IYmK3AZHoOdUtBjOJC/2XZWbIKI/6vwTDnokpu70 +xPXD3qwdI9/HI4rsBy3Hw+fDw/Plg+hDV89fsEcw8DZnwVJ3P1uILYuOjIrCO4BB/3huCDU raqMACadE+MQpACRyV3w0vT5cwGpYqyJK2NJH40YDaqwV2OWltwQqLAjG2ZTW1LSK6I+ZiFk 5J9v8QIqP+FmQy1MEPSrk+ynH7/vIWgZ3zj5khifQimtNuHIdu8ceuis32YRVY87k0NE96Ts jcKS7Rl8fJSWQDPOfnngYU+1BmUuN+00tiXAoJg+eQ2bNGEw0pb0UWo3CwuVdBCfHUZu69pl K5OK3vFqqOomSsYRejmK2eENdKHn8Cuso9i2k1umFM9ZGB6MOYFiTGRxhTXIdN4ZMWCA99PS 1pjweNjCLfQtJ2UFqWejMCR5d2RXTob63hZZ104xECCtJ6Q+IQc8hQG8pslxxlNMnJQvKOcJ Q1KWCqQqfdXhJumAfSLm3K8B6sS2KRXJp0Ob0hLClTw1bowUxUim/A23nBI8VlD6S/PmsvfJ YrY6SwcFXduFyyHXYauNRMBl1nJx37NSzZJIrTg2jC+V9/fCcW9ISJvMxhQpDyY6HtcG3McF pcnxHh82nS8Enfzqwt/J42Uhnhic/PEGrUgPmDQR/PcpcaviePjPy+Hh7uvq6e72U+QW+qMS Bxzs4SnlFlN5VedSWFLkeTLhQMbTlUYQvoZPX0ZGQSLEP2iEW6Nhg9M5OfMGGGmyOTDJEYc1 ZZ0zGM1ColGqBdD6LNrtP5iCBa2t4SmTFa30UqZIVOfvrMd0HVJ0P/vFnv7+ZBcnOQjnh6lw rt4f7/8b3cSPPkkzizjYM4JPO5oWO1w4Rd4sxKI+pcC/2Yw3Lmotd91CiDqukw65xnXSoWt/ VeIOD6s1YMYtN/vFyuW1hWNCLt/gAFhjOWAQF3RUvE5j+rgqp8uXRmMtLdIqyE71wmUvnhqa X/Happenw9EuEFiXqk2rT09fw3FarMDGY6Fm8vf0++3x8D7wG8IE2YTaHISWv/90iJVojxei E4Bl9gRUJM+TQCyqJVjdLrIwbLJ5wUDtaIKAlj0q2DIdeftL/8lOM3t58gWr7wAirA7Pdz9+ 71agN3CAG0qJ0ZO0/bNkIdzPE1VyrtLRTkcmdQAlsQh7jEsch7jMdxxEiFyWAUaQo2tGnY4L aopOeJIkqyZ92wbee/oup2bm55/P0rdAJZNJcA3aoJ7pI0yXy5L7urBhbjPvH26PX1fs88un 24mP3Hv8fbzU85rVjwEVwDNM25AudGS7KO6Pn/+A47TKB/U9Omd5CsYVXIkdUdbPj2JQueBx dBMKXJ5ggoul4cM+QegaQxN42YsBqqL300NGxa6jRTnnFdzmy7Jiw9BmGgMYr75jfz4fHp7u f/t0GGfNMZfrw+3d4fuVfvny5fH4PC4xjmZLwnwuLGE6BLBYojCBX8B6kMijc5PZ+HVKrEHY eKdI0/hnGAEdY0WVtI/9ENCrZPwGK1LS6BYTMGQcKwlp71quNi43AByp9bSvxdeGMDTM/FIS E0k5S+8BxlCNe0W2ATfb8HIWNI16U5S/cR5Q8lz8ky2L9qdPT/ECbg4fj7erD761QymhzVio 4MmzAxIdqc02iNRsuTItvib1IaUxVLlN369v8REgapkTVPdID1+v4TPY2YVX9MoUc9Lunw93 GJz74f3hC8wBTcUswuYCqvFFkgunxmXeV3RXgqMidXl6KcRqV8XTR0a+BF256fXnZpplhCFd ML4ZqyL3CS8pKAxzr/FKoVh4+yobM+U3S2OygxwDVG1tw7eYz07R7Z8H5+2jWMPrLosfZ24w VyjFnMMyYiJdIttsNl1XusQpMZ+QDaD+rkhlhxdt7VIdmVIYGLF3k1Gk01aLUq7HN52W41rK zYSIhhj1EC9b2Sbez2nYOQt+3MPDRFAEkKPBYHOfyD+vgFrEhZAXiA42dJHtCUbu3mK7VM9u t+aG9a+MQl6YQKe7fF8TtIj2NZZrMal3/ibjBu/UulnUQgsMW/aPqae7o1ipO/DFXM5bL1c9 hInq6dCziTcOn4YvNnRh17BkvesymLp7uzGhCX4N0j2StR3gpJJ9NQJi2KoarDFsUpSEPs3P TkgO5g+jB2Hfs7gkP9sixSTRv0/OVv2i9fc9sx2O1MMJapj2HsuRk3v3uqvPQJmy6hVCL0Z4 szrdANfO5Tws0HLZLuRu4psd9w7XP9NPTKW/netzV4PbjoXyoCUuYAW7PSHOMjC9PeizNCOy feMZ9LrQdtIIVkzWs+W0E+cGkF6/uTbZbqY15683p4IsUVDCvJ1IZ9V4FY0qHXNi400b1x5p yKPTILDTbYUj7S+1GcUM9ZEOpBbvFdAe4HsUxVJBX0vx94ipYUaJ2lObdA3aJqk641ZvY3GT zd7rPRM+JgF/Hi/9YL0BFecBAbMXNC/7i6HzGYFMTMXlBapB3JqAufdA5qRRXRswCsZ/D0Ht rkOxWSRNm7uFTzZPkYbmCpP12zqCLr7MvhBawi+WQwP7e/7GXxTHOn7ABWCoIkM/9IN6MHwX sphZ0T+iAYBH1b4xHraWVG5/+O326fB+9W/3HuXL8fHDfR8GHh0fqNav4akObDUPwSbXu6d6 GjxzAIH4wQPAo5Revfr4r3/FXwbBj7q4OiEmiAr7WdHVl08vH+8fnuJZ+Jod5sDV+GkUUCNN OowW1MaD5lR00oeIupu+HPkLrOxnoUDI8L1YqKzsoyqNT4jGTJVeO4Qy0AunjZVZvyx99Y51 2hrpU13TNx2IIWcPPNIpoa65VnT42MvCMy9fcyHU05PxrIN/d7IzfF2wA6ShNX5mY3i42nFh b2+TTdsaDhFonL3IZJWuAudc+HobfNK2uIjavUSfXvtmVXTViE9MNdV4kfoOk7ljCj4+zXR0 1x4UVzxLjnF8tmpYqZbCv74WvmVIh1jt++w+VcOig/QVFlbbZSnnx3WBKSOFns4BF1A2ZB7O b26Pz/co9Cvz9cshOphDFsSQbpBafZ1LHSRMRKGHsHiMZU56DIcv3mEcMN4Vmw7hviAjx3fz gT8Ljbh0qUQ5WMH4w08BcbPP4js5T8iKd0kNEvc36FVdvw4ClLV7eNSAQsKjCoo/+vRLT7fm 2dFP0ZJtdyBUbKlxSIxbT9InXPhPieArOla1uaHDJstddF2sdhoM0wLR9rZAG8yj/exQbqvZ VJexyjJl2ljt0k1n5SNs8A9Ru4wV+A86FfEncsZEIRcf/PNw9/J8i3Em/FLayua4PgcClvG6 EAbBXSDeVRFHS2yX6LUMl4UIBvuPUwQS7XhpqnhjZsWgQGnMcsh785GxhcHamYjD58fj15UY 7wlmwZ+T+Zg+0VOQuiVx/GXI8nS0VGjYNY65dfalgWsXftdqYOcCO1MczoRV3H3rma9f4AeA yjZiWAEQbYxtZfPaLyKoOoG0ic89ZQDUwpAExvM6I7ssjHQI0Ybe8Rji06kkXi8IFr67LwXl 6uri7H8u02d0+RlTTFkwlXMHKH3PC66hyzRNkgvw4AwGuhZyCdMXLzfNJLlwpGRt2t7d6Pkz bA/y+oCSDef6cFqkuXP/GBljVZvJh37C1Hb7FgO/1ZNGk20DaqKmazF5MTfVKo1hzikkEXxe PnCeQx0mYuAHN2CsKgoz6k3m3gb6UJI9yvXh+Y/H47/xbn12hkGc/5+yJ1tuHNf1V1LzcGum 6kwdW44d+1bNg0xRFjvaIspL+kWVSefMpE6WqcR9lr+/BCnJJAVIfR96MQFSXEEAxHLrhigx JU0kQsw0fJ8LS0KCX4r+OLbgusyvfdlaKWrpEtuBF+CX4gJ3hVfUhpS4vIdBIWo776LI/bYB R0xGvKYDjjnFY42gpu32Ax9olJGxCWfZRGnCY7jhwFRpb4apnVlc3gI0NFtgYPlw/3ntwvuK MVt0WjceMgYjrBMEpvj7bWHbKitImZf+7yZK2LBQGyIPSquwck6a3rKlwKmBAe7g4uPZHnNY NBhNvc9zx/BfjdwMwQ8R1UO8yczs2ejnC5/UUmQyaw5zd3Cm0HLTUpyC+nxxK1zBzXT5UOPG EgCNi/0Y7DJgfNvB5mpC3GJDw5TsRANFCRcasWcvE+1WIghDzUpQ6O/6jWxX7IFbgdHoHsz2 W9eSsIcclYR1LAiLkh4rUf+bwJDTKPfbFL+ZepQD34WElNmh5IdxOFjHD98sfax0oq8HThj1 9Bj3nNgePYZIFfdfiInxRGxy4lhE0Px+9beYEUzH2gwWvwNU3iA9cNf8bz89fv/9+fEne1dl 0VI6NiDlYeVSg8Oqpbigp8NDa2kkE5EJLoAmQhUwcDhW6izaYhWUqBPonyFdCI9Bvi7Hwxqe T7dPmShxqzQNFcQu1kCPJtkgKerBFKmyZoU6z2twHilhQ3PY9X3JB7UNJRkZB02JPUS9VDRc 8t2qSY9T39Noik9DA17y2nsSUiUQxRleS4C1c1mwsi4h4LSUIr73KL+uVCb3Wqet7u2sxINI KtT+Acau30YawRQmbRDtjyfg7ZTsdn76GATaHjQ04BYvIBi0cKOQeCAIXmiBIYhWnmuG2SnV 4RDNNfxqDcYAVFMRP2AzYDWHTLMNNZ4NzkzZYL102FXuYMU2s+JARMXItlX3tasgGg/PHYLw 2q+tGUaWuJvjXbpXXAymj1ON5Lazn/k9GAiUmSG4ZX6HoCwL5d2e+w4DCkiyQ5cOn3oWU+/E k1YifF49vr/+/vz29O3q9R0UXZ/YLjzBl9XyvrpVzw8ffzydqRp1WO14rWcYO4UDRNisrygC zOIrtgaXyjmEqsO4IhQ5NgdjtMWKkzaOGLq1MvggWrwfmgp1C2ZysFKvD+fHP0cWqIZw3FFU aXKOd8IgYWRgiGWkr1GUi2V3Z9k6Rt4cfl4SZk8KdJADsinK//0BqhkDe1GF+sK49g6ILLSE DBCcd1dnSNGp0/0oSgTxJDy4Sy9BfHr1ynR37MKKgz1O183LyBVIlIgkqMr9535T2u/VL44t rQGaY4PhY5vVIGRhvkt92Qt6HB5xFfnIwrQr96/V2Nrha4RzSM4akSjtGmHRB5ypXw0uQV1o TciKWpCVmSo4AlDH91BtEYZLthpdsxW1AKvxFRibYPRsrMjrcluJiFAbbkszHurURowQNeCw sxqHVUTcX8VZEsbaNW5LmQbEF4YjagHGEAhkYxn64n9EmJcf0jBv1rNgfoeCI84oa840ZbjD RFiHKRGrK1jiTYUl/hBZJgX1+VVaHEsi3JHgnMOYlihVgyurDUqgT+vd96fvT89vf/y9fRnz TBJa/IZt8Snq4EmNj6GHx0RsrA4B4s+MImj5ZLwTFfES28EHVvsD+Hj7Nb/DBZoeYYsLr5dZ pBWXAFc38nj74eQ07aYmIZK+bnyAov7l+LHsG6lwutEv1t1kR+XtdhKHJcUtTr06jLuJJWO+ L/oAI777ASQWTvRjohtJMr6wpRhvvhUbx9tICQfjftGGrvvmqL88fH4+/+P5cSi1KrF6oEtV RWAzI+jzDBg1E3nESUccjaMVCQRv1qLEx1HwfoFT4f4L8kBrujsEgvPoeqBI7SjCMAb/cLpK evm7bxA3cYeiuRM8PLRWMWu4qxbhPVOvJAM7IZUFZIRqy0LJt/eEusdCGluIFgXCqk3h1PyE X3gWjigJGU7PU+hG7NeqebD5BeGHHgWggJ3kKEImqjHiCigyzEpCndyheN0fwHPCZ7sfCSR8 G++EGFlUjXC7nWyEyT19BejZKInnkA7hQMVj7BDGTkXbTcp9tZ/MeHyyjRLSfxQcDpaei5p1 D7o0N6Ukg7hwlOYMC/od5WDFKgvI2ebYcykmONRGWWgvipLnB3kUNeEUfDBiFrkYWqtFvgWP LmNOBK9N5Mj1r3vq6RgdjHQBAisoHsawciYx7Xhlh4GrYp3WxwkK6KZPaTNyaC0xxW1YOEaL jKnYAVpBehl537j5BbZ3zvschOL/IqjdApS+TRHoGgZcnZ8+zwjzXd7WO06fo6gqyiYrcuHF NOnFyUHzHsA2SLiIUlkVRjoeZGtT+PjPp/NV9fDt+R3sic/vj+8vjmlhSAk3jKABW8I3UcnF p4qSFePmlmF2OfAwX+0dmf4oKp46inYW70Aqmju3Q6qLtK8kmE7hQ2grwm7lKXhN6rSTiiXD 9LM9Nlikqk7o9BM62Ngu2g57o23jOrN5QNEucQhe99Dmbe8LmIoP1KOwKgqx2Ec9whEnclnI uonzSoxdPkMAFQP7KFk7XhU2tDel+hGs3356fX77PH88vTR/nq0EmD1qxtHY3z085ZFry90B 0OR4SOuyM02iLJPcFnUYgbEOKZ4MJi/RKat0kPvZpa2jUKUY6YtvhU14zO9ucG6hyMv9gBHa EDZgoSDSGfEyaSgz6TzGT2k5wQNRVzb2YthdnOA4CwZul2HuICoxT13pBMzpigMa5ME45LS0 uaNr0dO/nh9tZ3kHWbh6JO7FKLBxHRtn/0ebHdINl8DhFBpTxMut2vrnQh1AQb4GxaHLPbRF SLxaB6XhrMKeWnV1WWaDJmUXqm6kEpaupIehoXAINKBLP4SMxyiyx1lm3O9OExE3iqlAqCA1 cHvEvwOpP91VpnKBAky76kuvW2Ox/piJ7Ul8G4xi4XJr41b57YoC56r0vqpwMygNC3HWR3/S 89C8bFVqB2szXVwrYqOJLT77No4OjDKFxCDcxhSSTNydYNgbVfHx/e388f4CCfwuoY8Mh/Pw 7QkCJCusJwsNEmp2ISYuz2VTuC3Z+Xz+4+0IYQjg0/qNTVqNOTv3qBM3aGctcuHUBeWHZmg7 NPqp3oEDH38/N/zt21/vz29+5yCKgfY/Rr/sVOyb+vz38/nxT3y23d1/bAWJmuN5ncZbu2xd Ftqp50qWMRH6v7U7V8OEzXepaoY8t33/9fHh49vV7x/P3/6wn2zvIZL8pZr+2RSBX1IJViR+ YS38Ep5zEFn5ANOEznYOerS6CTbolhDrYLYJ0IMMwwJP4N5Kv69UhaWIXAHpEozi+bG9JK8K K0xTW3NvHCMTnpbo1avY5jorY2tyuxIluOxt73aTHiR1HJXLyjTfB6rRGc1/8wPevLyro/dx WZf4OIydclIMXN+Ok0m9xzYe68OhIJi4F50fZ6TtV9cH41YHfmOOL0g/L8A7RpXAeZgWzA+V a+BqynVwWFNXSRLgWo0OQKOF2qmmRdahJ5DP9cmcII3Svi6IZN4APuxTyF60FamohS2GKZHG 8fYwvxsROGkRQuO8HUFi1tjlbgAY85wZ7hsPLkNs0T6C1jfN5jmhxezi/sgXiv10veF1EtFh +rldTjlP1ri6qoiR+fUj2JogAr501hZhp9k2DNdW4a3ooaWVC+my5PULshtvt3VmdNQYrX9j vlfSxJZ40uyQ0KyCLKqKDGsSLjYpIzVbolwEJ/yNoEPe4/H0O3BaFOVgHLpUO+gYj/H1sFnt nl0A3ujXo2pLO3fq6ZmAyxMearCDVyHO/ujJA+UPiw5ElFa4aOD8ciJdb/+JiS5W0l0Co5U6 ZBxjSvpxAxwV8RSg8UXDTuVkN2oc3J4/H53z2Q0uWgbLk+LbC5zrUZQzuwd2G78AtxlEdMH5 pSTMayKBYi3iTBNmvFUmN4tAXhMR5BSRSgsJOcsgLKdghAltoqhfiushwzKSm/UsCCk/A5kG m9lsMQIM8Fh5EMuyqGRTK6QlEfS/w9km85ubcRTd0c0MP7hJxlaLJf4aFMn5ao2DSnjBTPa4 rkFSx8RmQ+mIZyfIQnlqZBT7zGTXzKEMc4HDWODTX+NkytXlkDlCQLcRNESdzwB/2mzhw+Bf PkYWnlbrG1yv2qJsFuyEP1+2CCKqm/UmKbnEV6tF43w+m12jh9YbqDUx25v5bHBc2jBt/3n4 vBKgs/v+qpOttlE+zx8Pb5/QztXL89vT1Td1/J//gv+6Mdz+37WHezQVcgF8Bn7SwPBJZ0op CQt1k5mPCErdQxuCCF4Q6tMURhIRdlYHw+8eMleuNVZ4b+enl6tMbdn/ufp4enk4q9m5bEUP BZidqIuUZ3LZMxEjxQd1Gzqll76o+1SJQyP9SN4/z15zFyAD2QnpAon//lefpkKe1ehsj8yf WSGzXyytXd/3aBAOcGyerEPAEpwig/u22iwMQl8R2gWNUtXy9AMYe4mTtyTchnnYhAI9gM4d 6agdhWs2LqLhSYTgGG1la4N0ZwUiZ2RF5MqBItIhx/H8irbWS1d303hCiWaa457/1D1oP21y jvysDu4//3Z1fvjr6W9XLPpVkZdfLOf8jnNyQ18nlSmlA2UoYDVkBWUF/lmREx+ra2uHfoFh Twl6ZEwLzp4woCFpsdtRTwMaQUdH1WIXvkR1R9o+veWREB0flmPwzZgN18nFEPrvCSQJuQ2m UVKxlYS7ncGpSqyZdg/7YxxM31GnmqWbjxK6XW979/KVrZhps1SDd62JoeiCWnHo8k0o/FoW aMxcDSyzPuousxR9/34+/6nw336VcXz19nBWBOnquYtxai2t/mhivxTooqzYQlCnVOvFtbn+ zOsUVOpzueLzBWhCsTPzVYBf+qYhrQuC5mgcKdIAsyLVsDjuj7ga66M/CY/fP8/vr1cRBBiw JsBSYKn9GxHhB/TX7+TgUdvp3Inq2jYzVMl0TpXgPdRoVqIiWFWhPevdD0VHnIswK4br2jWM cD81+0dRPSFx5qCb+zEgcRQ18IAbrGngPh1Z74MYWY6DUAy2HF4x5eQEW8oM2HgpZtdhQG6C PlNW1YSQbsC1WrJReLle3eDnQCOwLFpdj8HlckmIVT18MQXHmfgLHOfhDfyeDtalEXgc4qdE Q5OyXqxGmgf42PQA/BTgRhwXBFwm1XBRr4P5FHykA190msaRDmRhpa4O/LBohJzXbBxB5F9C woDRIMj1zfV8SW3bIo18wmHKy1pQFE4jKBoYzIKx6QcqqZqnEcBQR96PbI8qImReTSrYPEAz /bXQZDAmnVqxArfakW8q2rVaj5wJinxp4FieUINQiTglTIvLMTKmgUeRb4t86MlbiuLX97eX //qkbEC/NMGY+ey+syPR3WA20ciswHYZ2Qn6qWpknb9CUsTBsDrl+D8eXl5+f3j859Xfr16e /nh4/C/68tbxQsTFeklA7VYhM/fasV07jtwuyyL9tGACDDsWOlED4dAIyqagIKfgc9kCiWzf LXC06vWSyEAeXaK3UAjaHoIIGTgI0uTNTJR1ocmHsxY5qvQIsc2wgXuwqhIlYa2sELT+mwLK PCxlQqles0ZH/lUMzEFAiCNK7oGvkFGpFFBHuhvF4BW+36FleCVEpjLKtJl24T0iaXfAPuUS 1SisPd7mV14VXovjO0EvUBriGwGAe0JXGUE0JcI2GxZWv0ZR0DgNKVNnBVV0m4pmCYtOWxi3 86cXDCfcUTYRLrN3HieU6/FeeukljEqIc341X2yur36Onz+ejurPL5jONRYVB5NPvO0W2OSF 9HrXqYnGPmMZ76kxFpC7Vj+c2mHkQgaJhbNCbbFtbZ1eE20BHgMsZCEchC5Lw4VOqOuJPFTw 8IFrcu90tooRNxLCYE+MeMXVnFC8qxGT9v2iJEGHEwWBq4V4st4RrqCqD5IT4UPU/2RhR2tX Za7ZtjauViVdJpbUfXiuiYRXqrw56FXTmTwIQ8cD9SiXpxmViLDynU3NBgfjzIvi2zNOip4/ zx/Pv38HvaY01jChFQnZueM7k6AfrNKbTUBKzNyPemd0as2CFZ7loLanWbDlDf74cUFY48Yr h6KqCd6uvi+TAk3cbfUojMKy5m4mTFOkk0fHHpFAGthx9zjyer6YU7HQukppyPR15jDMMhWs kEQUj0vVmhdetlVOPUa1Dxe1nBpEFn51G+V52C/lVF1HCFc/1/P5nHxmLmHbUsKTWe08Y9Sx hwRbpx1qf2J3SdG2vLYNt2ygE2vFKofRFo7eNKxTyms7xflFAOBHHCDUIk3tlr1iUBxrLlPS 5Nv1GhXHrMrbqggj79htr/HTtmUZ0FVUZ56fAkf97W257syJXZFbKQXM7yY5ejlHoTlC2agz MPtvqHbFif2oBsy8ADnbHDPFtupABS9Np7otMHtap9JB7DN0LykmNZXCYQHboqbGN04PxlUf PRhfuAv4gJkO2T0TkhXuQUcX0q4CSXtyZ/+xU6NYcYKvnKQYEfdOYL1PhWfZFsxnhJZNI+Nf 5tcnXHPWCvHN+hoX5KJsM5/hR119bRmsCO2BoVcnUbECszqyx+xHkorSADeSkvs8IgzWrfYU +5hyR2mw5cHkzPOvLHHCSl1A8f6LqOUeuZ3j7PBlvp6gUSYJn2P1hia1taokzpIn5XyKlCX7 8MhdA3IxuXvFOlieTuiQ9aO6ZfCpOuD+8n9y/7cibO7rntjhzLEqPxCBCk9UFf+ecyFUc9cz opICUHUIETfO5jN8j4odfpV9ySbWvFW+OoT2kEWEp6W8RUO3yNt75y6C36Tvif1x9eUwL5xT k6Wn64ZwmFSwJS2CKqg8joJjzBnE7o9glRus9Vau19c4HQLQcq6axRXTt/KrqjqwKsA/WrRU oK+tpuXmejFxxHVNyTOBHqbsvnKOJvyez4hgQjEP03zic3lYtx+7SEOmCJeU5HqxDiYoCEQq qbz0jDIgdt/hhO4+t7mqyIvMi8ZHxKHra7ljEoqhhSD3uZIkMpP+ZoqMrxebGUKowxNVM7j1 XW/aKqUvRCLdPYjIZqV1WpqI1wm6DYpb7zNJQ5Ex1QQa/d1qrY1rzvOdyF0j9iTUuWPRhu85 mM3HYkL0K3kuIVcXOo67tNi5muu7NFycCOvju9Tnh221yInnDQW+Q7Oq2B3Zg0FR5vDvdwxs 8LxYqD20yibXtIpcZ47V7Hri5FQcZEmHg1nPFxuG7XUA1EXh46qipiTOWgcHb5amPgpJRRrr ENdzwpsFEHQms+pkstIiHazW89UGXfZKHT4ZShwGcRMqFCTDTLFtjn2QhEval4KRmtzOAWkD ijSsYvXHIS6SUMqpckiezKbUHVIoUu+aBm2C2WI+Vcs1JxJyQ2TZVqD5ZmIryUwyhBTJjG3m bIPffrwUbE59U7W3mRNvwhp4PXUvyIKpW4GfcK2VrPXV50xBnWkl7uTy7nOXapXlfcZDwlRD bSEikBaDOBM5cfMJzHfc7sR9XpTy3nUCOrLmlO7IeMpd3Zon+9oh6aZkopZbA7wtFa8EcZUl YbVVexqfYZsH4Yig6mdTQfJw/O4WYL+VqmWtsXdGq9mj+Jq7yTRMSXNcUhuuR1hMSSzGktxu vLUtD0+CJuAtTpqquZ5cICN8IucJAEGJaRPjKHLWJ+Ixca/J2xgXtRX/SPjY6pguW/9tuWMK FaffmBcO+1FXdGl2LtyjLmPwMimoaTI4ot6GVJAFQFDnH4JLCEw+VxsyFVuHEeYR2AvsduDo lgxzbauGrqC8tSFE3sTDCB47E/zRBdSXJKxVWtIIp/X6ZrPa0gj1erY4kWA1nTeKgRmDr2/G 4K0mkURggoUR3f9Wj0TCo1Dti5HmoxI4/GAUXrP1fD7ewvV6HL66IeGxzqRMQQUr072kwdqE /3QM70mUVAp4PpjN54zGOdUkrJWuJ+FKLqNxtFA6Ctbi4w9g1PRK9LIkiZHr/Fwh3ZP8pL7w JVQXP71l77BPdEyg4WgB6vDChgMkmwQucHT8wHHQwJrPZ4T9ITzVKOopGP3x1qaShLc3x06R qaCCv3G1ZYl3QHqK1bZ4L7dt7KjuGbuvASAW1jh9BuBteKQeggBcQk6WPW4jAPCqTtdzwgHt AicUtwoOeo01cbcBXP3JiZC5AE4kLq0ATJQJzv0dDYdt/bq8NWaeCKVK1sEc476derXzTKh+ jljzKOgSV9ppCOl2oqAbst7mFtL0EJxplW7mhAegqrq6xRm+sFouA/yx4yjSVUCYXKkWKaXk keWL1QnTKrmTmbk6N11AfOtmxZazgSMO0ir+yoYPT5WPOPNtK5ZJiuUBYIyzhHZvBo88oagI H1IBgZEwJtFur1OUX+6y8hhQ3DHAAgp2TK83K/yNRsEWm2sSdhQxJnT43ayUhOtIXAV47eE8 LK8ywj6pXF63KVFwcCVkhsbLtruD6LoVt8mrmvCL6YDaXg7iTuA3J0wEYfGQHdM1lsbQ6RWP ROiRoUxt9NkcT2oGsP/MxmCE/htgwRiMbnO2oOvNl5hS1h5hFfpvbVUdnFB5xKk21HDp64Uw TDawG4yxqFMdD0YOmtoExEtLCyX8O1ooEW8QoDf/R9mVPMdtM/t/RfUdXiWHvAw5CzkHH7hg ZuAhSJrAbLqwFEuJVZ9tpWS5KvnvXze4k2hQ7+Bl0D9iXxqNXtxlYKUSItiqET6zlmuhwuFl KRfbax5kpMJVhCJefH9usOTgBgs/y61R6ab/kRz6MbwQuuz9T4aCjEviuGvz+z2SCEYDSBQP cknG70eGOtzf4mDCdd3HUHtzVZDkOIXp8amfrb5usnT4sP9JpXi+TPzJjYULRXAjgmrWANjM 10T9OneQF8nNm1zDchYYpEzXmmCHC1WOD4bK3P67DpF8eUbXiL9MfZf+evf2Auinu7cvDcpw l79Q5Qp8aTGf7vU7ekmcLJWGJ9VurXZp8ErYHYQyNorJzgPOA36W+cgJS20y/ffPN9K+t3EC 2f85chdZpe12GJF46C+1oqCGZOUZZpBcxXs+jqP4apoIVMGvx1H4Jl3d04+n168P3x87i8DB 8NTfoxYt5Rm4gnzMbuYgZhWZnUfObJrkEY/d60LKFWT15ZHdwqxyJNbm2aQBz5+v177ZzcsI tDVUuYOoY2gu4ZNyFsSlaYAhmPYexnU2M5i4dhddbHwz69Yik+OR8CzTQlQUbFaO2ZiiD/JX zkz/JcJfEreLAWY5g4GNwVuuzS9NHYjYCjtAXsCWbMek7KIIdrPFoGtvPDBmiqtfo2ZAKrsE F8LioEOd0vlRE26pslN0oGwJWuRVjTKbLuSeWBh/lrl0DUllkPT9enfp4S02JeNjLvyb5yai vKVBjmIXK7GUYhgKvoXUFpfGcvmOhVl2NNF0xCXtiWbAird0luD5TJhY9CrI8HLGCRF5V5oe IKOf8Q60yyLkgfuBIXoFibGMXpMkKzjxnlUBgjxPmC7eAgojsd4SOuAVIroFudm8p6Jjd5EO XCrIWQLPGdgy6UbbnlOHM4sG2mMHY88OrhRNWhmkAcxKYxkdZmleeh0gNgtzWkCUhYRRVAvZ 7whFxA5REAqXA0RJRJHoQCeeJEwQdmItTN/iqdgaLUrymF0wZIyZT2pxShD2rF15WqHFjrkE RcEJ5wItSAR7rWA2U3G0KMsKs87fEBUGhLJXB1M83c92wYXH8MMOuj+w9HCamSqBBJ7efI61 GOS1TnNT4ZoTMZRbRH4tZsZtJ3mwoRefjto32FqrFH23gM6NiBr0UTxXzLw2eqi9iohw3h3m EKQX6pWyBzuG8GMOZJOZ17BqT4ZZG2XCJKWqewj3ZBkVjPXk1b1ENNnMWVF76OzK6CGC2PM9 M3c0gKGItRRErJ4+Mjy5zoIw/5/gCA2gPg5farKUlTxK/fXCzKEO8DelZE5rdU6xq/eBYzwx CCFsH3cIRC4PlGliH8kYYf49AO2DBEMG0If0AH2NlgtCdNvH1Xfc+cbAJs2Ix64ejCccRpPQ 9u/h5EbevI15/+nj9qf0/h39d1Q713G9eSC1pw9B82Or12N58ReEYGSKpbiQPhKuKI7jvyNL uKas3zO6QkjHMbNiAxhLdoHEePbvwNL832AipOxKKAgOcjt6jvnNb7B7sVT7i54fuhiDcq+v C/PFsw/V/y/QB+/7oBc+P3Nyfo24+QgfTIhYae2M90wJ/SybiTyTnAjFNqkpV5TXlQFURnov mR8jQLoTF5Ekbn4RSp4w6sTuw5TjEsaFQ5jYERGwBrCrv1m/ow253KwXhFuWPvCeqY1LiCX6 uCI7iPqImwfzT3JtfPWsb9V8qG1ZpcLB7RD2VRUgFAH18F5Lx5bXBdRRUUKLunQpyjOHOwjl mqsWG0YyP9oAQgT+ylofuB2mxDtuBUCl4iID1kGlhL/cKh+VwK42C+Laabpi5rnWigGBj09r pA14VR8J3/y1VPXCChFY87gx/exlQUTCWdhKOel/rKO08ylD7WZaXZOldV5xISEfM+vQVDMg mZA6j5jBaMeorxLDJck2b+Li7G42a1S8xev6LNKzIgvBp+yelgofHl4ftQN//nt2N/bLiBtm x2Eb/LiPEPpnyf3Fyh0nwt9jj+8VIVK+G3mE0kQFySOUgRk2ioqc8LASto0+mwQeH1BrC/NR xuOSpStGkWTH2RQRmceJPnH2gWBTU+Hac4FpTDpHr4aHkOpt4cvD68NnjKTe+Rlvdl1168bj 3HspiSrvESjSS2WiFddkH9kATGkwi4FH7iiHixHdJZch1/4+OvIp5detX+ZqqOJdKZnoZGLQ 4Y5YBfdI49FrhbZ1UKQVdnSLkiAm5NAiuwaVykhCDJtGYFxpRRn+3dKI3M0aIiFkaMhwMTfS 0+w+I2zIuCR0mstDnBDmPeWe8ByvA1AA30K0QgdKUEbt9CTWfoRPGHAg6MmzY3YWbOjXiZ2P o4AHlRPLp9fnh6+9J83hoLOgSG5Rlg53FyD47nphTISS8gJNvlms/Y4NJngfV0WZGKzuhrTD OWFST+mDJnN/UImB8+B+qQPPqD0CuwYFVR+j2lMfkBblCeaoxGDIBnIBlwsuWI1ZmYtXLI1Z bK6cCFIMDloooi91lBOMWkANCXpBo+mFJHorvoy03odEcptuM1aub7QH74OSXBLNEryNx5O+ fP8N0yATPWG1zxqDv6b6c+zpZHSlGSJq30jTxN7EGuf6kVjANVlGUUpo7LYIZ8OlR9lQVCCY KiEr4oDwAFSj6uP0owr22Nh3QOdgaIE5mxUha63JRU4f7kDeyQRGe64MjeIpemKcQhv3zMNt a5IHOrYLCdEnzwVHOWucmAM6XoCRSeOhhmabiKODTIY5eEwHG3kM6AhB30thl7xnWcxMhPPA Oc25CAb1wiczHhFRR2SW3vKpxkvt7/GzgX2ZHo0Ef4taaxhaekXx3x2AcKQBd1KX4v/zJsiu cezJ+vfYhgsd8NH3lpt/yj1lX5rCgUoSgcOlo2gd8uErAv7G6yihUxqk++jA8NUFZ5SZMYjg T04wDSyJMFyjoSIw+ces/5UnyW2yIJrggpaebGZ9ccJQqTmhh9cHhVmmqkhmk5mHEqmpLlE/ ZBe6CMUUYB0Ktud9xgNTtXIAbA3ZMFlHhBy0V6fCoUhq+wBdnIyyEKBUYdo0XzUsaPSyj0lB ss/CLvIrNrG9TmDIi1HwjDy6g0wg/QuGtbCHK6yy5w7l5bmlb4jIPQ2d8KKs6SL2CKekNRl9 dNnopchNV0WkwsXUGY8Kl4R4tyIKQqwARPR9S4gUgJrqx1lCyIJ07ZwAljYhUcDR5XK93tJ9 DfQN4ZC7Jm8J9z9IpnwH17TRk4+eB9phLjExZCQM0Vtwgf374+3p290fGIiu+vTul28w2b7+ e/f07Y+nx8enx7vfa9RvwFV9/vL896/j3OHGxvepDhNjDQkwxhImIwhje3dBDy4T7EwPXkbr MumZEQXz1ZRcTEJ+9siVQdSkR9k/sC9+B1YDML9XK/fh8eHvN3rFxjxDBZMTIX3X9a1C7wGX Q70PIKrIwkztTvf3ZSaJONoIU0EmS7jv0QAOl4eR9omudPb2BZrRNaw3ZQa8QPSPu1iUIy9n nYCE2vFG3a+IEFyamFDndTXBMPwgHT6theBePAOhzsD+0dT7bkmwu4RJs8wJecFBGn1658PQ zbmcmmtVp0Yu7z5/fa5CVhkC+sKHwK6hS5gjzU30UFpuMAcac0FtTf5Cz98Pby+v09NN5VDP l8//nR7zQCqdte+Xmmtpjsta+7oyr75DBd6UKfQBr10AYFukCkSOTmt7atgPj4/PqJwNy1KX 9uN/B70xKAmvNWY2clLXXhY8jVRhfiPAbqFC11/MJ2UViTw4E3rwmkp5IGmjmOfJwPq0n06H U++DJq4VczTBRgTBYEplISN3hbbvqH+8IJ7aw0DBzROqJ12PMI4ZQN6Ri/mMaCAyJK4rdWUp evN9+Mn1KM89DQZf0T3qVjMCmWvb1AZA/paIuthgktz3CM2DBgKVXgGPZ2+4CJcrczZNlffB ac/KREXudmWyM51MH53QbM4HPlXKT6soRaYjpYn3CJzzaX8qzDzZBGXuqhYWeytCG2EAMSuE dxDhLAgV7CHGzCgOMWbOeogxv7QNMMvZ+mxd6p7dYhQZJGKImSsLMBtKzNPDzIX61JiZPpTL uVxk5G1mRuvoo5tYO8RZzGJ2gXDWB8uO2AUxzRMmBSUoayoekl6KWkjOiDgLLURdc3vjY7mZ Cd2KoVNnejBGVxBSUMLPCsTXR7gOEmFWmz70HH+xNvOyfYzv7oiQdy1ovfTWRKiqBgM3TWHv v52Sip1UQEUfaHD7ZO34pPC3xbiLOYy3WRCBsDqEfW0d+GHjELfQbijWM3MLmenZGc+Vbz4y GsDHiDjhGgAslsJxZyagDsdCuH9sMfpYsu8WGrOdKUtFcFbaZztiXGe2rJXr2huvMfN1XrmE 5dQQY68z8hubBWEvPwA59uNGYzb2IxIxW/vMwAjDc7uKxixnq7PZzEwyjZmJPa0x83VeOt7M BBJRvpxjD1RE6YK1QyoIkV0H8GYBMzNLePbmAsA+zIkgePYeYK6ShKlfDzBXybkFLQg/gD3A XCW3a3c5N16AWc1sGxpjb2/1+mBvEWJWBMvfYFIVlRiEQHA6kmUDjRSsZ3sXIMabmU+AgTuc va8RsyVUOVtMrp2LzXTBzl9vibu0oN71mq/lQc0sUEAs/5lDRDN5WITFLd8kmOMt7UPJROSs iEtgD+M685jNhTL0bystZLTyxPtAMwurgoXLmV0VmLD1ZmY6awwRqrLFKCW9mZMbWNTNzBkY xJHj+rE/ewuUnu/OYKDH/ZmZxtPAJVQp+5CZ9QCQpTt76BD6li3gIKKZU1KJnApuMIDYZ6KG 2LsOIKuZqYqQmSaj684oP83ysYDb+Bs7331Wjjtz8z0r3525iF/8pect7VcXxPiO/V6CmO17 MO47MPbR0hD7mgFI4vlrQg1+iNpQsco7FOwGB/sVsAKxIcr6ItauSXw/fscVXR0XzlAYUiP0 qRoMXDHVSRjlSXE5VvkdgZhgxZ6lqE2Jtch2uypcXynkh8UY3IjURskYDg/N89C/aN94vaHH TMeCLPcZhq1nOSqsM1ON+8BdwItKT8zYM6ZPUJ22pOMamj6pJd1JkkWkIn/zHV0rA9DaTgSg b9dy7ODVgOsaReX0/2kDBlfRWryTmcq/vz19xdeK128D/co2i8rLpy4sSoLhFlZDrv6mzI8o ihd5OzO/jbOQWVTGSjYA85oB6HK1uM5UCCGmfNpHE2tek7ZFB2tm5i5qPRAFKjrE2cBVepNG Pwa2iDS7BLfsZHpSaTGVEpjWWMEwZrDkerpZLQp9aeinKMgN1vC0KHmTOznp9svD2+cvjy9/ 3eWvT2/P355efr7d7V+gid9fujB7LWjiJqbbs7KdassytzkOFFp9GYm1o09rBvecF2hgYAXV ka/soPhip+M9fHmdqU4QfTphVE2qSUF8rhxe0IiEC1SbsQI8Z+GQABZGZbT0VyRAizJ9upIy R6/gJWXyLSH/HVd55Nr7gp2KzNpUHnpQDE0VgTRvYZdgB9sc+eFmuVgwGdIAtsFxpKjQbgvR 9xx3Z6WTxENu77Aq8Dj5ub5dO0uSnp7JIdssLA2G8QSmhS4X6J67ounAx9KzVTsKhkvS0nEs NQDQ0gs9S9+pTwKPFIqM/DRFa/g2G8D3PCt9a6NjkJZ7W/eVLL/CkrSPfsq36NicHF0eeQvH H9NrzTz+2x8PP54eu005enh9HIYxj3gezezFaqQEVfknk+Fs5oAxZ970Abp0yKTk4Ug53ehY JoxEYIQjYVI/8fPr2/OfP79/RrUKi896sYvLSK4pjUQk46MdcZPKBY8qh2XEkwB+rx38LIgb sQbE27XniItZs1NX4Zq7C9oAGiECFVSJoPdYyzjAiUR+juS1ay1BQ+huQjLx1NOSzTe3mkwZ 3WpyktJZi8jB8ERk5Q8KNdQkj+jiK/7u0ykojlq3ilSYTvKo5ITCJ9IoZdCuELQO0de69+Ao /UOEfQzS+zISGRVCDjFHYLQT85Uayb6fC594Wevo9Jhr+obwX1HNyquzWhOC+xrgeRviSt8C fMKfdA3wt4QZfUsndBtaOiHz6+hm8Y+mqw0lMtRklu5cJyRezxFx5jkrtCI4CSmYIlwGAzGP dmtYWnQPFXG0dIkgQZqu1gvb59FarQmBO9IliyyxABHAV97mOoMRpM9UpB5vPswjegtAXsHM F4fX9WIxU/ZNRoQpP5IVLwOxXK6v6LEhIHxqITDJl1vLREXNJ8L5ZV1MIiyjHCSC8J6NThic BaEwZfXQoMvVAN8srO4AxLNVU3Nom+V00Vn4hC55C9g69gMIQLBZERJLdUlWi6VlpAGAsd7s UwF9GXtLOyYRy7VluVQ8Kb3ar77lEA0Kfp+lgbUbLsJfWfZsIC8dO6+AkPViDrLdjuTvtZTD ylp1uRRsj6IkQt5U2PYM9NOulTxHRtiacdu/Pvz95fnzj6lGbrAfGODCT7wWm7cFpBFOpDRN mJx11pTNqmffA0mTGAGYWJlnkAVIbl7Lmob6wjSZsrtAGtvteMSMofAqrmKvesb7530AMy6c JOCZh4Yl8oOz6d2mgCgvcBHGYPGZoYS46IUEhx/oIImX8dBfOabH0I2nq9WeScO0JiahpdUB JEt2qNtrrlF5FLK2fxpWDtN3oZG0C9HcshWFmojoplpLVD84i8WwVmgrVsIUjkuMZIBmJHQD 8jIamnC0Vi9P3z+/PD693r283n15+vo3/A/tWgZ3F8yhsgvzFoQHpwYieeJszM9pDUQHFQI2 fOubt+kJbsyu9wwPqMpX4ttCDCw0G0lsL3lYagFXG+J8RjKsyJERVCMlvvsl+Pn4/HIXveSv L5Dvj5fXX+HH9z+f//r5+oDb16AC7/pgWHaanc4sMAUh1N0Fd5rx3Mc09OF7MO5wY6C2AUNv hCH78J//TMhRkKtTwUpWFNloDlf0TGgHvSQAHw9yRVGqZxC0GpQnmbM0/uCuFxPkgQWFClmg Kv+l5yBB2BQHNYHbiGolz44BI3OOToM+nWA9f1hPySrLrd9rA4sEtsAyPhXV4nWG/X+m4kxq ImwKNFFc9jt6bexFQCkpIvkUm60v9AyWZumO3kP3wZ6KKYP0iBfFSZafGME7IubTlS47zKKD 6f0PaTn6lWosW+LnH39/ffj3Ln/4/vR1sg9pKKxUmYcw126w7/ccdRn3iVF+/XLDgsd7NpyU VQEtZVAl3vjIvwtfnx//eprUrvI4zK/wn+s0KtaoQtPchpkxlQZnTh9be+G4pyUhENITKcyu wB0w87VdHyGTIEmTnsgKtGnSU7zE14WjbHpl9/rw7enuj59//gn7bjz25ANHXiTQdX2vfyEt zRTf3fpJ/Y2rOcj0sWaoFmYKf3Y8SQoWqUHOSIiy/AafBxMCR8/BYcKHn8CFzJwXEox5IaGf V1fzEPdQxvdpCfsXN0ZabUrM+m/TkBizHcxlFpd9D1WQLrKY1XzD8APFE10BVfkomo7Gl8as 0CCJxB7Ra9k4K4CaC/P9Fz+8wapzKdcFAKDcXCAJeAPoF+JRCIdIKpIIPCERtACIcDRKM6uK X45oHYXt+GgEU8qGA/m3PVmEPWYAjroTO2RgcyyX5uGBWvAzSeMeYb2CNJ+wWgFawvzFmlBj xZkXqCIjq2vhk3Cc1c0hFMAqKtlLRLQXoARnSs8dqcQVBzuWZbBYOTknjzfCXzDQljFxCOOk yrI4y8i5clb+hnAriasXzhZGr4OgMHuz0iuTzDQCtpaK1Axk7SWF7EAhoxPdWIqjwCkWwjF0 VSuKIcG+4IU6EY6RcaYx9BiZCbJyIoS+pJeO5CIn/P3olk3c2NaHsPHw0ttk+PD5v1+f//ry dvc/d0kUT0P5tAUAtYySQMo63rJhmwmD6KiN1QfAbjPv6HuWsoIP/Ih2RG0ZZWxkh8mFv105 5SUhTJ86pAzgQmzeUnpFxrnvExrXIxRhatahErGk7BV6oPPaXXiJWSOxg4XxxiGk8L1qFdE1 Ss384Mz4tlabseDN2Qo3sx8vX+E0rTm36lSdCoZQchFNPAsCiwW8k9ZGATY1SxKs5xwdJvY9 +7BZDcQiJhwyB1wqtDuvNHHK8NZolpkYu5MQt2klB8nwb3ISqfzgL8z0IrtIuHu1Z2kRCBae dqgWMcnZQGzcquUFsFLFwDjbhC4yNdEUs37Q8lMqOLJpnK//Y+zamtvGkfVfUeVppipzxpIs WT6n5gEiKRERbyZIXfLC0jhKVjW25ZKd2s3++tMNkBQAoim/JBb6A4g7Go2+NM57+ge19RSY Lo04n/gbLa/KLfBnCfF4d8F0GJcuxIvKYjS6lR+p69aRPbZP2WmZ6K7urB/KJZKZlHmxmRBu fN0bJiaJ4KGzNWH6F2OmNimNO1czohdSUyFQmuVob10TVwXDvEk0ykJ3/vigDMdamjv9CGLF lWijSiMfNklutTxPvWohzMQ1voEJKevwFsL+6IXKk4LwjYl1I9wGyCJiuGbbbfRjVoklzNNO v5eoG5Y7hgNXXDe57qxmhVtf6YaPVv0uCD1vzIPfIalwnU3pvHC2x5yIj4P0uMiY+/6qmqM8 Dg6nE0q9HsvISkvj3WgZtxvL/OFsRhgOyAaJMWXiqcikZzZF55NbypgC6YKHlIsTJBecU44O W7K89xHmsAgqZxRj35Apu9GaTBnBInlDWDEg7WsxHlOmHUCfo/d8kuqxmyEhPJbkmFM6CHJj 2e6WtnxHzy1uR4QTjJo8pSxFklovh+4TpbbDSkr/QWKK7YKuvc/yiPUMylJau5DkiO16s6vi CSOWpniarIqn6XDMESYgSCTurUgLvDClbDoSVD/xOeF26ELu6XMF8L9cLYEe+aYIGgHH2fBm RU+tmt5TQCKGpDOGlt7zATG8H9OLDsmU1TGQFzEVtkSevH7PwYBEehcCVmFIhQhp6T2TSr4S zrZ0vzQAugqrNF8ORz11iNKInpzRdno7vaXcF+DMZgFGMyCMgOTU35IOWYGcxCPCP6A6ubYh YWoD1JxnBScu7JIeB0QIjpp6T39ZUgkVF3UsE/oTksjF3Q1lCY/0NOHems97+rVP/KGYCjYj 7fou9CunpBQ7pILePdZb0g0BUHfxwqWNGvp/yIc7zd23XCnM4mh91n2sNwjNFQgumYZwysI2 rHqnkDxQCT2rlzVhRqj4UA0sQ83Zqut5tAP0oMe9Joj7B5A98RdNoOBLDL3hFhKZUEopwUTh 5f0DsB45uAVMk2BLya4tKLMN5HqAPYtYA0o9lQ914/iG8p9QA2spU8+Uqz2foVVLc8e4uVxM 2wVgZ7O8grepMcaGSwrH+lBv1vbXcXZFqdeKP+wToUpC+9ZTirm9RGRowV6GDRElG/YcjhIh tiP6ciRjQDHOHq6UMRyN6KmNkOmCikbXIEK+oKwJJevt+eSrTFNElhImrxd62I8oYCjJeBUN aM3gVuf0XK8kAJ50y21txZmMhUEflr4cTI8wfpXnDjWnt7Op4XsNdoYqyoLu9FAbPPe7Yr2Q G4E74OfFb16RB8myCB0fB1jONnrGMnQ+amJ5F+mvCi7xenhEN+2YoRNhAvHsto4hbNSKeV5J h4FTiNzpvFnSUMjcKRITidhpkk7FyZTEEpcz8bl5EK140unYAFUvFu6RlgC+nGN8xAVRLGqN 5ZrgRKVx+LWzvwV7lmA9bfPSckmEPkJyzDzYq9zbA9KzPPU5BqiiP0Dv7JIMvVdw2IjFHPZ1 l9G1RLWxsY3MMPmWaZJz4d41EBKgZhrd02RQRkUMKO/5iuxS3JOUr9AldmWXQTznhF66pC8I /8RIDFOSH5F5i+lsTI8i1KZ/yax2dA+WHqp7ENYgQN8Aq0TIz5C85sFGcszUrrDLG8VAIx9H k1IiDy86a/gLoyJUI7XY8CR06iuo7kkEhx2uW4nIo90FSDrxDqVoSbqmZgh2qWt3a9Ir4spv YOBH5rIMbwGLhSXV53kZz6MgY/6IWhWIWt7f3rh3H6RuwiCIhFW42ixgnsjI5j37SYRvoT30 3SJigjhrgC9XS97c+uB+kaf4ZmQlp6hC112IGEOM96+HpHB5ZFaUnC/tEoFfcEYkkjsksNSw XUdprj1jaImOfnSFHDXIBYt2ybaTDQ4AfOwj92rY67DzqbB0aj/nMXPfS1X/QwHEnV3SU89j hGkukOEkojtKsFiUejwymWgdafi7bz+XXjHJkF8SUQSM3meBCnMb2JTA9RojEWWSRWXnKMop 3964xaHeHhM9p6AMYvYl3WHJ9CbGye0ENmARBB0OrghhW6MbW4QYk0M95dDbP3J4VUYorkjE aPE1IHRM1AHRd4puOCfDWiJ9y2ExkFT8cG+nfd35wA/27DjK60sVEg7oJYsXZW6/8C4WtrHo dbPZ6p7jm5M80xNqRPPwWH/JLvASTsT4SlttGaiE+85ad7K1F1/9A1p10tCD+wQviiioFf/M 6tYPlGYijLnlEhpTo0AKx9wCE3mTjDJu++HXyDLqZchEFXpmn5kfNwK5yXxJAjuqF1RJsKlf gVsdz/j49nh4etq/HE4/32RPn15RPf3NHLbGk02tjGC3jH7KNWBpQbcdaNUmhC0y4oQSc92F QvYhuu5Gs3C32rsSD7Ta5srR0F8jnazG5zJhMeiMdwk643A3Igd2ere9ucEBIL66xemixsfI KNP9+dJjLqalRVjvnZd0RwwPDRMQX5XpOTpxgSVeFVRXSVhR4PwQcL2yFmRAVEymL4Rb8qHX qj8CiRz8LQZqDjO7Yw0QF9lwON32YhYwjaCkngFKL13lSHW1M+1rhr56iUEQ0Ww47K11PmPT 6eT+rheENZCRB2KLCWnncO0px3vavznDlchV4VHVlxoRppZGKb2c0MNWxF2TowTOs/8dyHYX aY5and8Or7DHvg1OLwPhCT74++f7YB6tZCQ64Q+e978anz/7p7fT4O/D4OVw+Hb49n8DjGqh lxQenl4H30/nwfPpfBgcX76fzF2qxnUGQCV3lTqcqD7xt1EaK9iCuQ9OHbcABojiAXQcFz5l nqHD4G+CydRRwvdzwruiDSOMSHXYlzLORJhe/yyLWOm7OT0dliYBfQXRgSuWx9eLqwUkFQyI HYnHgQ4S6MT5dESopCi5cddpFS4w/rz/cXz54QoLKI8U36N8IEgy3tR6ZhbPaEtWefb4CcGI ytLlHuET6vnykN4QfitqIhU5ei5jWGDA8N6t+c7UJW07TcYjJXYjpSHkzGYyJkT+IOaEp5Ca SoSZkDuhXxal+7anqrYWAb1bRMEyLUjxiET07OXNjPV2dx7hy0TBpJM4utt9WuAgT8PC57SU T3YCSn99GD7gj+iu4MBHzdeEfYRsK91UjOftAc85z0kTbtmUdMPynPcgbMtci9UQQaGOxwXf oiljz1xFDeKFO0QvAnaQm54XwVfZs1t62iGrBf+PJsMtvRuFAthl+GM8IXzG6qDbKeE6WvY9 BiOF4QOGuLeLvJClYhXsnKst+9evt+Mj3Oai/S93ALckzRQ76gWEyVqzEYztNzftGkd8xyxk yfwl8VhU7DIiUp3ko2QseGlZ7sTElPOUIEbvpS7hDF6Z8NJxYRflFUQq+xvyxTa16sjwTNA8 x/mX4PLHgPQY7dQUpMpeR+GqYxRkCYyI1CiJ0qmE+xC60N2Tt6FTYQUkPfPYfX8B6LzEPV1r +mRCuC++0N1roqUTm35Nn1EeYOpBCtZpFTPuvrhcGkn4QWkBU8JPiRplf0T5hJf02kGpuKV4 PnXT9Rj6XOkBRN7kfkgo07TjPXG7dJf0tLBqYE0/yW///XR8+ee34e9yDefL+aCW/f98QeN8 hyRo8NtFBPd7ZwLPcc9yH2uSHkdbj/I21QBy4nCWdLQ5p6no62427+kz5UGnluI4+6Y4H3/8 MB5tdclEd2doRBZ0DEIDBgwyyW8bQDi63fykgWoN669DWxOb61Aq5rEBYl7B15ywCTSbUouY HD1+fH3HYIhvg3fV7Zeplxzevx+fMOboo3SuMPgNR+d9f/5xeO/Ou3YUgCcRnNJRMxvJYsob noHLmPXK54bBxYdyVGIVh+oHbr7N7F9SCYZ5XoA+DnlEdT+HfxM+Z4lLVhL4zIMbVYpiPeHl pSZklKSO3BNTLYyyPldegPUlIYmUiUVNRI2nKjZ9Uas6od8cZ3sa8h2h3yjpARnGsCZPRj1k PhvN7ibuB98GcH9HnBwKMKb0eGoydSAocjAe9gK2hCqxyj2h/D0p8h15/2wbTxgMSno+G017 y5/0N31CxX2ra2fZddTEvICJxrXpiQkYOmQ6G866lA7nhomhV6Ri55K7IxUoRRp6Zjl1YmNV 9en8/njzySyVmuFIS9bAdDYCaEgYHBtnEdqZgkBgFBbtCrLT0cbJkWwZbunpVcmDyjbhMmud rzsXifbFBWvqYEubfGw+n3wNCCnFBRSkX92yqQtkOyOcQTYQX8BFw80Z6RAi9IcGmd652bQG go6574mJ2WByMfHGV8rhIoKl616dJoZQW25AW4C4ZXYNQkYJInhoA0M5UjVA44+APoIhXD+2 HX07LIi4Wg1k/jAeufmdBiHgdnNPRBJsMIt4TMUJbAcU5h+h5KtBJoRJkl4K4TC0gQTx+IaI AdSWsgZI/7zJ17MZIUdoO8aH5TLrLGqM120uan3TGKGONyoWtJbSiMdg1B/YDHwxHhEXRW1a jIYfaf69KZ1Ubqmf9u9wOXmm64/ZvTjtbPf1yh8R3hU1yITwF6JDJv0dj1vMbIJBUjmhS6gh 74ir9wUyuiVkQe1AF6vhXcH6J0x8OyuutB4hhDNrHTLp38ljEU9HVxo1f7il7srtJMgmHnGp byA4TboX2dPLH3hPuTJVFwX8ZS34Vl1YHF7e4A7snGU+este1w/qbbGXVCJqPQC6DpXQhDhI loZDJUyrHWxIUVESRMKkogNo/dv4eJUz6PelTzydKNEDBzLBR2N0EirzA1yKUbkCvhwvY/cF 6oJxMD/+Bsv2GnuCS5+pdGeBTR7KgBToAVXhmoZ5nRqVosSyW0dgUIr3dDy8vBvzhIld4lXF luwWH81bHDwTpM/LRVenQpa34Ja7+o1Md4s365KIjwOpdV/pVtexaqK1rdz2PgAQ10uclY09 uqNfkcxTdFpd6k2sk6mBbHLFDs39+Ph4Pr2dvr8Pwl+vh/Mf68GPn4e3d0MBqHEsewV6+eAy D3Zk1MSCwWJ0MfAy+lCtDFA51j/zMH4Iz4MIbuDE5TzIQ989nKhxX0UsoxSLfc+fEw6c63DU c5720tMZ9U4pAfm8IJxkKqpb7LMov/ACVlNPzRuIjOFFhJ+BUzKt8sWKR+4ryjLzK2VNAkcq odmWSeGHOz9GSekbmVjwviZkLGFSo7sPhFZRsGH3IKQqZw8dX1sz5vdBULi6QgwZAqANjO0z W4fPOApgkUbpxjHPgyDImoYa8xtn6JX5nfFqQ6iFosJmwfLexqUi5HNWzYu+udCgQqp9shpe nLn3VNV6abOwpoSBCrOmVkR9lvZ2bxb3uKhGB1t5QViPKaXg3nkiv5CyVZFTDxpNKQ/EfUY+ AVfLmHgLV1/IiYfF+hkDNXghJQm8Phh2BCfGQpQ5GsChRGNczcuiILRW65LKhBdkWXG07Vc5 w3uNVISH4mAmJgVnhBKu+pwUg4psVGUu5SlsFiL0FSKjweSpqIjXSi/M0zhoa0lsRbDdsiR1 N6YpKFqhVCdK01Wp+fwJ0bwTaGhvmTHdclM9aiDt4vzq+fn0AmzP6fEf5Tbt36fzPzr7c8mD 0pD7WyJ2tQYTfDImokJbKMLXioki3hM1kOd7wR3hfkSHCTSjrDxrNbUeo5w9oR0eG/QrHKXm U7HqKplJnH6ejfhAl2ESuZSgTsbaWESrYF3YqfJnhR8xkPPIb5GXGru+qs0g2BTmqcsekEOf lJoQX3nEP7wczsfHgSQOsv2Pg3x3GYgui3UNqi0h+SV5D1r0bZOqJLtb88Pz6f3wej49Ou9v AarPoxTUOZ6OzKrQ1+e3H87yMrg31Vyou0Qjp36el4m/sYx8lcAE6vab+PX2fngepDC3/nV8 /X3whi+m36H7LmrGytX489PpBySLk3ldbRyLO8gqHxR4+EZm61KVI8Tzaf/t8fRM5XPSlZLn NvtzcT4c3h73MOYPpzN/oAq5BlUPfP8Tb6kCOjRJfPi5f4KqkXV30vXxgutc1/3D9vh0fPlP p8yG7VcBI9de6ZwbrsytscSHZoHGZsp7xSIP3KbnwRaPW+LQiNOceO8jrnJJ4dZTWsMJRV2O sk3c6T2eP0j3/K4rWYemVStDl3PUh/IANbvgR4EeEc3HcyUGDHew6/z9JjtXH67a5LpCgKvk uRdXK4yRgspaJArSq2zLqtEsiaVC1nUUluecIWZVtdwy1C1zs3ixqdOq2nw4o+Rz/wK7PpxY x/fT2dXpfbBWTsqMq2sRwkaGPvKirjCDvXw7n47fDMFI4ucpYWrTwLX7o9NvQPMUpv9sX7yU FG4zeD/vH1H11mHuIwqCy5PHShE6K+coUrunZoSuoyB9TUU8pmawVKvv4449tHcknFha0W+V J/Aj7KRqEuniQ495YVBt0KxSvf0bghcWcR+43Goh4A6bW/oxTbsFnsLMuOvBVjOqiIMbaGOL dqHcGp4ZZUIpAnSiLsu0SFitVKBjfS/qkkTglTkvdlbFbskn1i9zf6SD8TcJhg/Ec9l7xkNB wDFyhaAa/4UmbWkS8EBkd86Lns8lPOrJuhjROYHiXnhUnyNLaCls1GnVHNnSKs1cY47iTMm2 ct2QNYYtAjV/dzZdr1+QePkuo33ACvTbaamxtDQ74oBvJ3CVILXCjA8zRXCU+lCmhebzSf5E 5R2pbCsX9MKKky7NZ2rghuWJJTm8CMclgpqKilrkgVH2wyIuqrXLR6aijKyaeoU2nmgHtxDm alRplTnIC7k83XMInexGbFc5onl7+8d/mbYQCyEXk/uKpdAK7v8Bt+A//bUvt7TOjsZFej+d 3hg1/5JGPNC0jr4CyGxG6S86rWg+7v6gktSn4s8FK/5MCndlgGZUJBaQw0hZ2xD83Wi1oTpT hrZJt+M7F52nGMQKWJ2/Ph3fTrPZ5P6P4Sd9ql6gZbFwP+4lhWMTaM4Rd/MUN/F2+PntNPju anbHxa5MWJneoGTaOrafdLTkWkqOzmhd9o8SidET9YkrE7HP0FaTF2neKdsLeeTngcu1hcqM 9stoNCsKVpRaI1ZBnhh+g039miLOOj9dW6UibFmhBz4KyyXsE3O9gDpJNkabQYGSEgXM9Oih /usMZbMVL/ia5Tgkzxqj1x3B9itcqJcmVFgKYmOppDkqn9MnB/N7aAuaFsjdnKKGdEYgoUE7 eUD21HXeUx2a5OUsJkjioWQiJIjrniM+5glMFGojjXtan9G0h2R720ud0tS876MZ2sURjsd2 Yk1lK3u6O0+pyQsnKIYktOZjQ1yY+yn+1o82+Xts/zZXpEy71ec4pogNcbdS8Mp1skqr6cQ8 WhCOh2St1+onzjbWINxj0A9kYhfh0rZd5lL4DUxOqlkmI7Nk/1TN074F7e8q4yKhdULQDGeZ 5Jln/66W5kWhTqVtZb0gC8nlxClC6jN6J6Fmi67rAD9af4Wffr5/n33SKc3xWsHxanS3Trsb uzWNTNCdW7htgGaE8agFcuu0WKAPfe4DFadUcy2QW9xugT5ScULjzwK5BfcW6CNdMHXL9i2Q WxnJAN2PP1BSJyalu6QP9NP97QfqNCPUVBEEDC6ygxXB8+nFDCmjZhvl2vAQw4THubnmms8P 7WXVEOg+aBD0RGkQ11tPT5EGQY9qg6AXUYOgh6rthuuNGV5vzZBuzirls8ptItSS3QoYSEYt KTjuCcWIBuEFUUEIMi8QuOSWhGOjFpSnrODXPrbLeRRd+dySBVchcCl26/42CLhgRJYxSxeT lNwthTO671qjijJfcaenNkTgDc24kibc63gOa+JU6cI89WJ0ePx5Pr7/6mqNoa9JvVz83QQ5 rRx37obFu0QQghw5T5YEC10X6ebqlIgm8GkIECo/xGh5yqshwVfXsrzKjwMh5ftFzj2XaxpN 6mfn3cC/MhZSmKYrk3+pIU6Oos1fM6KujC2TuqV8UrbIjDkdw0YiruKYZXgTgDuUn/81nUzG U+NtXkasTgJfCqUwEmUl3SIz65rbgbnlY8D7oYBLpGVOORHGEEueLAb9x6igk309JAIZvMjR 9zWlmgOHnDG4QPVgfC5wmPoQwTqI0qwHwdaerL7owcDU91awEuDaX6Csuwz+unEMmIC1Szg2 byBFGqc7wq10g2EZtDsmfBW0KHS4nnEipkkD2jFCo/RSZ7bAJzD7kaX7NbgcpJsEZ59jXFFm ubRF6G0iOmhPmO02oYNCY0PD9xcnKh+sXXVoBFiOOdbm7GB85nKeCo386xPqPnw7/fvl86/9 8/7z02n/7fX48vlt//0AyOO3z2hS9QN30s9vh6fjy8//fH573j/+8/n99Hz6dfq8f33dn59P 509q210dzi+HJxlZ9fCC70KX7Vfpnx4A+2twfDm+H/dPx/82Yb/bXuIFTlNvVSVpYgh0lp5X ZVG5hN0A9rrSK6KArWgbZTd8vssDt75oDx43let50OQXsjiBsllp8v+VXVlv3DgSft9fYezT LrAzcNtO4jzkQVe3FOsyJbnbfhEcp+E0Mj5gtzHJv19WUZR4VKk9D4OMWV9TvFmsU51OjI+u B4aQRyxW2+jSw6nJ/GyMKnX3mhxtZeCeqkbrppffz/unozuIGDVmkTcMcxAsu7eysotZxSd+ eRLEZKEPDfOLKKtTMwOYS/F/lAZNShb6UGEqW6YyEugnFdNNZ1sScK2/qGsCDZavfrFkqOTD w69jKLc0dQPJ3R3kD/X1gv6KjVf9ark4OS+63COUXU4XUi2p8V9GeogI/IeS6uhR6dpUsk9E 3aTPQP327a/d3R8/t7+P7nDx3kOywN/emhVNQFQZ06FHBmoSHaKL2E6nrDT/b/sf28f97u52 v/1+lDxiu+SmO/p7t/9xFLy+Pt3tkBTf7m+9hkZmgkI9N1FBND5KJRMbnBzXVX69OGW8HMft tsoaJxGxjWiSy+zK+3IivyAPqit9QIRoQvfw9N30xdHtCalZi5Yh/9GoFdRPXK8Mt020Bc5A zgUdrWggV8vZX9eyF3P0zXzbJFe/Foz8VE8FhEVtO5pb1l1sGjtukLLsuH39wY19YcYT0Geg KvS6cKCLV45nkdL47e63r3v/uyI6PSGnHQnKrGT+OIgYwZAJkNOSc27YuleblIskNNXULo7j jIpWrjfacJd4q+IdW6yIz2bO4PgDUW2Rye0FPgXMa16fXUXM5RA3EIxEc0JwCbgmxOkJFTNA HxBpsPCWWJ6FQJBVe6Sx2P2QJHxg8pRNCFpypOlM5m9NBpOAkMm1pC+TlVh8nm3EunZaqTik 3fMP21h5Gogg8a/VwHZ2mkodi0oKUWaH909QdmFGvd7NdonojGqELJ6rOsyr9TI7sKcCsLtn 4pWPmKad3TkAoLICG12IiaGNyaFdHuRALtLgJqAfiHoBBXnDpZh0Lt/ZahIm6cNIFzXnSmND +qZJTvoPjBPyuCtmp7NlQlJq8ro6NNkDxG2H9ot4ftm+vqpnnsdnJcuc8xrRs3xDyxEG8jnj Fj3+erbvkpzOHrE3TeuHlRO3j9+fHo7Kt4dv2xdlxK/fsf42bLI+qgXpAakHQYQr7eNJUJjb WtEOXG0IkszU/Me9737NIHBSAtbC9TXzroBE0ge/PwKb4QX0LrBgrL5cHLwV+Z5B2yA6U+Xz P2tqPJOrvg5i1y2Fgq0SLoOFAUqzZdl/+sxEMTKAQSuPSsm8zq7DCQjX5/HZ7JYFcOR65/iQ SzCHSs8/f/h1+NuAjU65oE8u8CMT/Yn5+BUtkqE+/06obMBhJMgEN46H64AKmuuiSECkjvJ4 CJhp2P1NxLoL8wHTdKEN23w4/txHCQiVswiMhpXFsGV/dRE152D0eAV0qIW1KgboJ3lKNA1o H+mqPqnYrU540knKma1ACF4nyogUjEGxZRkRLC7avuzBq0K+R18xeOHr7v7xdv/2sj26+7G9 +7l7vDf98MEIpW8hF4hSbQjLetWnN1/+bdjlDfRk04rAHDFOVluVcSCu3e/RaFV1mGNEvqal wdqy8R2d1n0KsxLagAarS/0KznffXm5ffh+9PL3td4+2PSf4Z9CO8GEm+VKIAGAsHu12IVnW Mqqv+6WoCm16S0DypGSoZQK2jplpBKJJywxSH2dCjkpoS6SjSsQZJTFWKqkg9yuro2w0e3dI TvGYgGMZQBx+8CCt88wWbEXy/JJ3kFW0cN4MUe+/2ixy1nY9pRHDl6NTl3xK6sgP3C/APSFK wutz4qeKwrEaCAnEmud0ABEyKlVJZQxAIp5Rj5hwp1moHuDczyhBECosjNyLI14EZVwV80N3 A1y6vIVzZZ9plg7Mn2GadVOh1/+QqM8ohUiGfvkZWb65gWL37yHDpV2GLkO1j82Cj2deYSAK qqxNuyL0CI08of16w+irOX5DKTNyU9/61U1mbCCDEErCCUnJb4qAJGxuGHzFlJ/5O9rUsg4k NOe/CnJtdj/elU0VZSo/YyBEYKacDNBRxvRaUkVghNdbRwaUx2Z/SvmC6hsVuyfH1KKW+gsi +kj+kPMPaFa56oJxvoDqc1LgGYS664XVmPjSPP7yykqrC3/PbYcyt+2co/wGAnlY6kBxCXIl ii0p6swKxVhhQrWVvNfMXJ5d1JzArWDdwagv1/N3FTeVP6urpIXIutUyNqfJ/E1/aiy2ZQXv z9Fmcmw/lJOeLYA//3Xu1HD+a2FszAb8+CrT8WKwPI8u1kFu+HI38rh0nKxUl8nRH69474a2 tZaascHS55fd4/4nBmr7/rB9vfdNSfD2v8B4xBYvpooh7ymtf6nKpkI3nlUOivtRo/SJRVx2 4LAxJnrWfKBXw9nUCrAs0E3B1E3kma+TThGmqsOQscMwvu93f23/2O8eBi7pFaF3qvzFGDRD PS2/hU8zYnCSEpVRRQfWOLArjfUigiJBv6Avi+OTM3vma3nWgMcjEwZCyLciVhyQmn3VJNtQ OU0g13ujwluQ+7Gq5dRnN4mE5FnpeGSpKiW7CiwTeBAUgRNSf+JoLQj2sK/K/Nrtel152YWG hlcikiMDKuuaCio9hWZ432SN6wzycQITLS6nthiFo35azdqX418LCqUylJj3CzRa2Xa7peBq ofnpQb0db7+93d+rnWnw05CGZtNC5lVGk64qBCCe9iQGq6nWJSOaQLIcdohWxDwxpq/0nHGB gogKsh3x+SUUqgq/Jpyiq8m7UMMYkxhAoJ0PsdBSla4ex17eu2Cu4C8lTWE3iTLP6BonR5Qi kiYrI8c/YFQoPuLHisB+WXnlo4GE/+Nh3QPjwIXtAliarVJZz/zoYBfBW2+ZV2t3gTLEKMIu XgRNUBrM8kBVxfjTL4t/ufYb0wJ3apM/iqorCLUOjg0RcbykEBPAU8pBfUf5093Pt2e1w9Pb x3vrDIZktyDr6mpZUytXHGOIBbZz78EpYp9CkKQ2YOLpry/l2SZPuNjVwYx+2nS7zf0IUcPk YVnR7rMWfbRhs4jI43StZdoG+fp4dhGptiQRy7Q9nVOP2iCQMRHvr5nFCE25SJLaOVqULAEU 6uPCOPrP6/PuEZTsr/87enjbb39t5f9s93d//vnnf438CeBYjHWvkBXyubNayKWrHYjpNyLU AV2bO8rg4d4mm2Ruq1FRfhzI4UrWawWSJ1u1dk1F3Vatm4S5/hUAu8bfBQqkw/XncmIO1AVj jNJtOmikOaBy38DDgj/9p47O8q//YFWMaxXWIx4h5kJAJkOORd+VoI+S61Y952e6fKHuJvZ8 lv9dQdSLhrgY2ISkw+l9gN7M3b3ogJ4lTM5UhYmE7CPEKMt952sRdTSPIQlwryz5WQMEN7UG BC4mZCLH0+dkYdK92YHC5JKIfDsFUbIa7W2by4EnFHyKkWHScHlKRgpk4owESrY+rVowdcSD IdGRZEi0no0+EaIS8tz8qvhb6knYlYr1daDWc1J5dlO1TDtMtqmMrp34fvo5DOqiaQ8Qbn5V rSbA9D8GZmBs3jx1JYI6pTH6dbXUE8wT+3XWpvCab9zvKHKBAU4kILLywCMEnL5xcQESHwlu JdHwQ1XLRFR1R3acNHxGh91yafYHozsi3pIrwEqAxaMShnmj4OG1OIEB+rOz9PaGMy003y6S pJCvM/n4wIYzQWXEpeSDlnMVqSt9BpCu5eqbAwzzN8wR3RD1874pAy9FqH7NQwbAFK5vVN64 1tG6HLJUww6Nhx8wd+sIl4tmFqh4Gb93ulVDBtqs6p0VfiE/ESbD4BuyKbpYbwW33EF7Y9oG 8uit+eMZYiAjlJ46UAjpbFP8vOCG6kN5wqRFIJjMCdOW+QfIg+03ljGKcHikGpAEJLDgNAOz S7HHkvvL4gSzMS9OP5+hqHR4T+n2yfNB3lH4JWiqG3w6v4iZUFGofEQlW+MkFLchLFWtGXz1 oBMJ19dwOsslrzRzOYcgjJ6hoxS5yisIbMmiLMn2zFQlAu5Jlq7Yyo9nDH9nDlCabNwQH84I Kkmn8j9iVu6AayLG3UmpiiWiZaJxIUDpN3m6ksLO0iUvwGShQ0TXMU45SN2g0oCn63c4jxBg B4JubjMDzpmxIDVjkjGr9c6k4EPiVcE/NlTngTdhPdLUCNZzww967RQkxVxCNFTyylk4cCoN SV9FIZ8FMwOlosvM9IcXNA8LEh3oWOdHtSiLamZFFEkRyQt3dnegqp1Rp+pKWICk8ScPSt4w azkoyUXHh9tqgqLOE1YMhzKxi1VsqX7g7zn5WReiFAmOR5A6B7klREMqxQDjr4I8W5XyMDeO ekMuh+ECswYfx+vE4C+VX+mAsNRUlU0jPqzOaHl5LfNg1RDJ7gKRX2sVRdeYWtTzj/3wlEQ9 hhmV2fwVU1ccruzwe86H+k3MmLpjUoKWPX2TZdbXq9aLwOS+vqhAcXHVyUNIuw65kqA8XOYd 6QuNy2VkZCiZDjRa5foTc7rHrBqYiOPN+bEzlZrAGKaOiJkNPmKAN+VlBKiVAodX20i3JsK5 OWME9oiMEkuJAYpsrvtqlFBbUlscjYqDDvczKwLsynUGET0JPYzraqdUiP8HgPyPxQbZAQA= --myz6myfv32gqcuvi Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX18KSW50ZWwtZ2Z4 IG1haWxpbmcgbGlzdApJbnRlbC1nZnhAbGlzdHMuZnJlZWRlc2t0b3Aub3JnCmh0dHBzOi8vbGlz dHMuZnJlZWRlc2t0b3Aub3JnL21haWxtYW4vbGlzdGluZm8vaW50ZWwtZ2Z4 --myz6myfv32gqcuvi-- 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 91A5FC432C0 for ; Tue, 19 Nov 2019 20:05:48 +0000 (UTC) Received: from gabe.freedesktop.org (gabe.freedesktop.org [131.252.210.177]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 6F58D2245B for ; Tue, 19 Nov 2019 20:05:48 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 6F58D2245B Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=intel-gfx-bounces@lists.freedesktop.org Received: from gabe.freedesktop.org (localhost [127.0.0.1]) by gabe.freedesktop.org (Postfix) with ESMTP id 01B3B6E3C4; Tue, 19 Nov 2019 20:05:48 +0000 (UTC) Received: from mga14.intel.com (mga14.intel.com [192.55.52.115]) by gabe.freedesktop.org (Postfix) with ESMTPS id 855B16E393 for ; Tue, 19 Nov 2019 20:05:46 +0000 (UTC) X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga008.fm.intel.com ([10.253.24.58]) by fmsmga103.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 19 Nov 2019 12:05:46 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.69,219,1571727600"; d="gz'50?scan'50,208,50";a="204505893" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga008.fm.intel.com with ESMTP; 19 Nov 2019 12:05:44 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1iX9ku-0003Oq-3f; Wed, 20 Nov 2019 04:05:44 +0800 Date: Wed, 20 Nov 2019 04:05:08 +0800 From: kbuild test robot To: Vandita Kulkarni Message-ID: <201911200415.FwxROgO0%lkp@intel.com> References: <20191119123316.5094-5-vandita.kulkarni@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="myz6myfv32gqcuvi" Content-Disposition: inline In-Reply-To: <20191119123316.5094-5-vandita.kulkarni@intel.com> X-Patchwork-Hint: ignore User-Agent: NeoMutt/20170113 (1.7.2) Subject: Re: [Intel-gfx] [V3 4/8] drm/i915/dsi: Add check for periodic command mode X-BeenThere: intel-gfx@lists.freedesktop.org X-Mailman-Version: 2.1.23 Precedence: list List-Id: Intel graphics driver community testing & development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: jani.nikula@intel.com, intel-gfx@lists.freedesktop.org, kbuild-all@lists.01.org Errors-To: intel-gfx-bounces@lists.freedesktop.org Sender: "Intel-gfx" Message-ID: <20191119200508.WOPTkDXi5ZJnX7HMUphK32PqPHB0ven6BPHhE9EpQ64@z> --myz6myfv32gqcuvi Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Vandita, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on drm-intel/for-linux-next] [cannot apply to v5.4-rc8 next-20191118] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Vandita-Kulkarni/Add-support-for-mipi-dsi-cmd-mode/20191120-015713 base: git://anongit.freedesktop.org/drm-intel for-linux-next config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.4.0-14) 7.4.0 reproduce: # save the attached .config to linux build tree make ARCH=i386 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All warnings (new ones prefixed by >>): drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_configure_transcoder': drivers/gpu/drm/i915/display/icl_dsi.c:718:11: error: 'TE_SOURCE_GPIO' undeclared (first use in this function); did you mean 'DP_SOURCE_OUI'? tmp |= TE_SOURCE_GPIO; ^~~~~~~~~~~~~~ DP_SOURCE_OUI drivers/gpu/drm/i915/display/icl_dsi.c:718:11: note: each undeclared identifier is reported only once for each function it appears in drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_config_util_pin': drivers/gpu/drm/i915/display/icl_dsi.c:999:10: error: 'UTIL_PIN_DIRECTION_INPUT' undeclared (first use in this function); did you mean 'UTIL_PIN_PIPE_MASK'? tmp |= UTIL_PIN_DIRECTION_INPUT; ^~~~~~~~~~~~~~~~~~~~~~~~ UTIL_PIN_PIPE_MASK In file included from drivers/gpu/drm/i915/display/intel_display_types.h:46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_deconfigure_trancoder': drivers/gpu/drm/i915/display/icl_dsi.c:1164:20: error: implicit declaration of function 'DSI_CMD_FRMCTL'; did you mean 'DSI_CMD_RXCTL'? [-Werror=implicit-function-declaration] tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of macro 'I915_READ' tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ drivers/gpu/drm/i915/i915_drv.h:1981:57: error: incompatible type for argument 2 of 'intel_uncore_read' #define I915_READ(reg__) __I915_REG_OP(read, dev_priv, (reg__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of macro 'I915_READ' tmp = I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h:46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:287:22: note: expected 'i915_reg_t {aka struct }' but argument is of type 'int' static inline u##x__ intel_uncore_##name__(struct intel_uncore *uncore, \ ^ drivers/gpu/drm/i915/intel_uncore.h:302:1: note: in expansion of macro '__uncore_read' __uncore_read(read, 32, l, true) ^~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1165:12: error: 'DSI_PERIODIC_FRAME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GEN6_MBCTL_BME_UPDATE_ENABLE'? tmp &= ~DSI_PERIODIC_FRAME_UPDATE_ENABLE; ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE In file included from drivers/gpu/drm/i915/display/intel_display_types.h:46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/i915_drv.h:1982:65: error: incompatible type for argument 2 of 'intel_uncore_write' #define I915_WRITE(reg__, val__) __I915_REG_OP(write, dev_priv, (reg__), (val__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '__I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1166:4: note: in expansion of macro 'I915_WRITE' I915_WRITE(DSI_CMD_FRMCTL(port), tmp); ^~~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h:46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:294:20: note: expected 'i915_reg_t {aka struct }' but argument is of type 'int' static inline void intel_uncore_##name__(struct intel_uncore *uncore, \ ^ drivers/gpu/drm/i915/intel_uncore.h:308:1: note: in expansion of macro '__uncore_write' __uncore_write(write, 32, l, true) ^~~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_periodic_cmd_mode': drivers/gpu/drm/i915/display/icl_dsi.c:1318:16: error: 'DSI_PERIODIC_FRAME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GEN6_MBCTL_BME_UPDATE_ENABLE'? return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_get_config': drivers/gpu/drm/i915/display/icl_dsi.c:1341:14: error: 'struct intel_crtc_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags |= ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_compute_config': drivers/gpu/drm/i915/display/icl_dsi.c:1374:13: error: 'struct intel_crtc_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags &= ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_periodic_cmd_mode': >> drivers/gpu/drm/i915/display/icl_dsi.c:1319:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ cc1: some warnings being treated as errors vim +1319 drivers/gpu/drm/i915/display/icl_dsi.c 1305 1306 bool gen11_dsi_is_periodic_cmd_mode(struct drm_i915_private *dev_priv, 1307 struct intel_dsi *intel_dsi) 1308 { 1309 u32 val; 1310 enum transcoder dsi_trans; 1311 1312 if (intel_dsi->ports == BIT(PORT_B)) 1313 dsi_trans = TRANSCODER_DSI_1; 1314 else 1315 dsi_trans = TRANSCODER_DSI_0; 1316 1317 val = I915_READ(DSI_TRANS_FUNC_CONF(dsi_trans)); 1318 return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); > 1319 } 1320 1321 static void gen11_dsi_get_config(struct intel_encoder *encoder, 1322 struct intel_crtc_state *pipe_config) 1323 { 1324 struct drm_i915_private *dev_priv = to_i915(encoder->base.dev); 1325 struct intel_crtc *crtc = to_intel_crtc(pipe_config->base.crtc); 1326 struct intel_dsi *intel_dsi = enc_to_intel_dsi(&encoder->base); 1327 1328 /* FIXME: adapt icl_ddi_clock_get() for DSI and use that? */ 1329 pipe_config->port_clock = 1330 cnl_calc_wrpll_link(dev_priv, &pipe_config->dpll_hw_state); 1331 1332 pipe_config->base.adjusted_mode.crtc_clock = intel_dsi->pclk; 1333 if (intel_dsi->dual_link) 1334 pipe_config->base.adjusted_mode.crtc_clock *= 2; 1335 1336 gen11_dsi_get_timings(encoder, pipe_config); 1337 pipe_config->output_types |= BIT(INTEL_OUTPUT_DSI); 1338 pipe_config->pipe_bpp = bdw_get_pipemisc_bpp(crtc); 1339 1340 if (gen11_dsi_is_periodic_cmd_mode(dev_priv, intel_dsi)) > 1341 pipe_config->hw.adjusted_mode.private_flags |= 1342 I915_MODE_FLAG_DSI_PERIODIC_CMD_MODE; 1343 } 1344 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org Intel Corporation --myz6myfv32gqcuvi Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNJH1F0AAy5jb25maWcAlFzdctw2sr7PU0w5N0ltJZEtRfE5p3QBgiAHGYKgAXBGoxuW Io8d1dqSdyRt4rc/3QBBAiQ4SbZSaw0aaPw1ur9uNPjtN9+uyMvz4+fb5/u720+fvq4+Hh4O x9vnw/vVh/tPh/9b5XJVS7NiOTc/QuXq/uHlz5/uz99ern7+8eLHsx+Od7+sNofjw+HTij4+ fLj/+AKt7x8fvvn2G/jvWyj8/AUYHf939fHu7odfVt/lh9/ubx9Wv9jWry++d39BXSrrgpcd pR3XXUnp1VdfBD+6LVOay/rql7OLs7OhbkXqciCdBSwoqbuK15uRCRSuie6IFl0pjUwSeA1t 2Iy0I6ruBNlnrGtrXnPDScVvWD5W5Opdt5Mq6C5reZUbLljHrg3JKtZpqcxIN2vFSA49FhL+ rzNEY2O7ZKXdgk+rp8Pzy5dxYbDjjtXbjqgS5ia4uTp/gyvcj1WKhkM3hmmzun9aPTw+I4ex whr6Y2pG76mVpKTyK/nq1dgsJHSkNTLR2E6206Qy2NT3R7as2zBVs6orb3gzzj2kZEB5kyZV N4KkKdc3Sy3kEuFiJMRjGiYaDii5gMGwTtGvb063lqfJF4n1zVlB2sp0a6lNTQS7evXdw+PD 4fthrfWOBOur93rLGzorwH+pqcbyRmp+3Yl3LWtZunTWhCqpdSeYkGrfEWMIXY/EVrOKZ+Nv 0oLamOwIUXTtCMiaVNWk+lhqDwOcrNXTy29PX5+eD5/Hw1CymilO7cFrlMyC4YckvZa7NIUV BaOG44CKAg633szrNazOeW1Pd5qJ4KUiBk9MpAlyKQhPlnVrzhSuwH7OUGie7qknzNhGIyFG wabBwsFxNVKlaymmmdraEXdC5iweYiEVZXmvmWDegfw0RGnWj24Q2ZBzzrK2LHQs2oeH96vH D5MtHHW3pBstW+gTFKyh61wGPVopCavkxJATZFSOgZAGlC3oamjMuopo09E9rRKyYhX1diaQ nmz5sS2rjT5J7DIlSU6ho9PVBEgCyX9tk/WE1F3b4JD9GTD3nw/Hp9QxMJxuOlkzkPOAVS27 9Q0aBGElc7QANyDSisuc04SSca14Hq6PLQsOMC/XKER2vZS2vPtNno1x7LZRjInGALOaJfr1 5K2s2toQtQ+H3BPDZg5WNO1P5vbp36tn6Hd1C2N4er59flrd3t09vjw83z98nCwSNOgIpRK6 cKI9dIHia/d/JKdMnM5R0VAG2g8qmpDDlNZtzxMc0MRrQ0IRwiI4OhXZe54h4TpRxuXCLBrN k4fvbyzUcGpgibiWlddodqEVbVc6IXiwLx3QwiHATwA7IGEpfKFd5bB5XIStYXmqahTcgFIz 0EyalTSruDah4MUDDLZ14/5IWlu+cWhIJ5EQApoCbAcvzNXrt2E5LpEg1yH9zSjHvDYbQEEF m/I4jyxgW+seEdI1zMoqBr/c+u73w/sXwMurD4fb55fj4ckW93NNUCONuCO16TJUpsC3rQVp OlNlXVG1OrDStFSybXS4dWDPaXqlsmrTN0gslSO4eYz8C8JVF1NGlFqAkiR1vuO5WSc7VCZs m6zSd9vwXJ+iqzwGajG1ABG8YSoanKOs25LBsqWaNoBwwgOMpx7H0VMSzHK25TSl9no6NJyq Ez89popT07MmN6XHASCCwQZtFAAzMDp18BvBYB1JAAxfQVFKP8P0wrY1M5O2sFF000gQfzQO gD5YctxO3NGFmMnTWGevQUJyBnofcEy8/15AUF8GjlaFKnRrEYAKXTL8TQRwc0Ag8ExUPnFI oGDih0BJ7H5AQeh1WLqc/A58DPAcZQNWBdxExFV2M6USpKYsWrlJNQ1/pJTnBIQ7NcLz15cR xoc6oIApayzAg9lTNmnTUN1sYDSg43E4wSo2RTiuRTU+6VSAV8JRdIJxwOFBON3N0JTb21lx sQZ9UM38jwFiROp1+rurBQ+d7gBCsqoAU6JCxouzJ4BuizYaVWvY9eQnHIWAfSOjyfGyJlUR CKCdQFhgwV9YoNegdwNQywOBAkPfqgiEk3zLNfPrF6wMMMmIUjzchQ1W2YvomPoy9BISWzuQ 7WrgKUP3KMI5TeG7Tx5eFATrqBapc2stFIZTxvECt5pONgkcjcjLgMosz5OawIk09NkN2Nxa yz4e1RyOHx6Pn28f7g4r9t/DA6AeAnaUIu4BrDqCmZjF0LNVsI4IM+u2wnpXSZT1N3v0HW6F 666zSC4Sc121mes50hNSNARMu9qktWZFUuYKeYWcSQZrr0rm4wlhD5aKNhHxVafgSEqx2NdY cU1UDo5L2k7rdVsUgHMaAn0OrunCQC22Aj8Tg2uRzjBMWO8P43y84HTicIMJLngVnRSr+aw9 ilyUOK7mK1+/vezOA80Pv0Mjoo1qqdWnOaPgMgdnTLamaU1n9bq5enX49OH8zQ8YGn0ViTws tvt59er2ePf7T3++vfzpzoZKn2wgtXt/+OB+D+0QEYIN7HTbNFHUEIAj3djpzWlCBGja9iwQ AKoajBt3TufV21N0cn31+jJdwcvfX/CJqkXshliBJl0e2lVPiFS34wpeUW+0uiKn8yagh3im 0LXPY0gwaBoUKVRk1ykaATiCMWJmrW6iBogVnM2uKUHEplEsAHsOojnHUrFgStZX8SSrvoCV wuDDug0j0lE9e0aS1dx4eMZU7SI3YB81z6rpkHWrMWC1RLa+gV06UnmIO+NgRUp7zQdDsqc2 OhxwWDotmqWmrY3GBQqtAFvOiKr2FINOob1rSucGVaALwZ4NjlQfddcEtwYFHtefURfVsgq+ OT7eHZ6eHo+r569fnFcbuEs9mxsJ7SNZi4aNUykYMa1iDjLHJNHYmFcU75JVXnC9TmJSA3DA 3R0M9ZGNk0BAZiptMrFOxksYWYIrEtm1gU1FQRlRS9Q6NaqoAqhBVsGpTevosca7liyYl7FO 1ei0y4VViBhHuez3cKmLTmQ8CsH0ZXOfJupA5fT8zevrRTpIZg1CBjJT52CXFlZ0ENU+iA3u atWq2c4BM654yiFyfowUHHQ/eBigoNDUxK7keg8HG/AaYPqyXbqRERdvL9OEn08QjKaLNCGu EwMWl9amjTVBTwBsF5ynGQ3k0/Q0PvDUizR1szCxzS8L5W/T5VS1Wqb9TMEKgAlM1mnqjtd0 DQ7wwkB68nn6uAiwJgt8SwbwoLx+fYLaVWnhFXSv+PXiem85oedd+lLKEhfWDoH1QisAYmLh fPTmNVaHVsBrnIKzmy6wdRlWqV4v05z2QP+AymYfs0Zs3YCKd2EE3YqYDOIeF1DRXNN1eXkx LZbbiQrnNRetsDq4IIJX+3hQVtmAzyx0AOqwMmgIN+J5Mei4eeF6X4aI1BdTOAikTfAGAFdr wQDShsDTU2/WRF6H9zzrhhnnTU7KGLjfCH+UCZYoDx3i2oILjXge4EXGSuD7Jk0EKzPCOk/y jsKUMBY4ZahFCFJtkaDzEnTaZbxJ9nq5I81M4GSiUDEFoNuFSjIlN6zuMikNhvCn5pvOFDoU YVi2YiWh+wXZF/YqKdp5X+x2PjZ4NeXoxYmkofMN8T5Nr8FKJwYEnf0KyGahtVkzcC0qcHwi 8BM4mZ8fH+6fH4/RdUfgzfpzV0/iILMaijTVKTrFi4toRcM61vDLHVOxrundroXxxmvhdgUc 49jwBTVeX2bhFZ/FRroBdGnP0MDMSFA/WfqCnr/dLDBXDOUImLm4uNeSnCpJo3vSoWgqJiNh IigjAUTA6dGCLAtMqIt6AMkjfrXEWzjALqmAiKNcRLGDvvDyIhUstm6HLAoMXp/9Sc/c/yb8 5qCWIMgyXBtOUwjJugQF6CZoDIqFJJwVi66XyawCmfcIDa+qg6XmFUpL5WEX3vC27CoadGPY ZBnRtgDSlhrDTapt4iCCheEgATAqIny3Y0XXfKqL8C4dr3p2V5cXkWld95qZxxDEVzAqgor4 G50dbsANTUVHsDdwqydLBGZTgwuFh5vE9y+W7CI48ZC1IBMHqNcPIgyGs4JHP2CrozASo+jm RxJ2070+O0snHd10b35eJJ3HrSJ2Z4Gxu7l6HUilsyZrhfe6QcSTXbPAXFBF9LrLWzHJ8YFK 3a9t0t1q1nvN0RqBbCs8Dq/j06CYjWDF4urWGeP3GDaNV9c6+LZVGMf2vZCKlzX08iY+ciCE VWvRQBR6HYQzqJBeV+e8/2W1PlazzXU6IYmK3AZHoOdUtBjOJC/2XZWbIKI/6vwTDnokpu70 +xPXD3qwdI9/HI4rsBy3Hw+fDw/Plg+hDV89fsEcw8DZnwVJ3P1uILYuOjIrCO4BB/3huCDU raqMACadE+MQpACRyV3w0vT5cwGpYqyJK2NJH40YDaqwV2OWltwQqLAjG2ZTW1LSK6I+ZiFk 5J9v8QIqP+FmQy1MEPSrk+ynH7/vIWgZ3zj5khifQimtNuHIdu8ceuis32YRVY87k0NE96Ts jcKS7Rl8fJSWQDPOfnngYU+1BmUuN+00tiXAoJg+eQ2bNGEw0pb0UWo3CwuVdBCfHUZu69pl K5OK3vFqqOomSsYRejmK2eENdKHn8Cuso9i2k1umFM9ZGB6MOYFiTGRxhTXIdN4ZMWCA99PS 1pjweNjCLfQtJ2UFqWejMCR5d2RXTob63hZZ104xECCtJ6Q+IQc8hQG8pslxxlNMnJQvKOcJ Q1KWCqQqfdXhJumAfSLm3K8B6sS2KRXJp0Ob0hLClTw1bowUxUim/A23nBI8VlD6S/PmsvfJ YrY6SwcFXduFyyHXYauNRMBl1nJx37NSzZJIrTg2jC+V9/fCcW9ISJvMxhQpDyY6HtcG3McF pcnxHh82nS8Enfzqwt/J42Uhnhic/PEGrUgPmDQR/PcpcaviePjPy+Hh7uvq6e72U+QW+qMS Bxzs4SnlFlN5VedSWFLkeTLhQMbTlUYQvoZPX0ZGQSLEP2iEW6Nhg9M5OfMGGGmyOTDJEYc1 ZZ0zGM1ColGqBdD6LNrtP5iCBa2t4SmTFa30UqZIVOfvrMd0HVJ0P/vFnv7+ZBcnOQjnh6lw rt4f7/8b3cSPPkkzizjYM4JPO5oWO1w4Rd4sxKI+pcC/2Yw3Lmotd91CiDqukw65xnXSoWt/ VeIOD6s1YMYtN/vFyuW1hWNCLt/gAFhjOWAQF3RUvE5j+rgqp8uXRmMtLdIqyE71wmUvnhqa X/Happenw9EuEFiXqk2rT09fw3FarMDGY6Fm8vf0++3x8D7wG8IE2YTaHISWv/90iJVojxei E4Bl9gRUJM+TQCyqJVjdLrIwbLJ5wUDtaIKAlj0q2DIdeftL/8lOM3t58gWr7wAirA7Pdz9+ 71agN3CAG0qJ0ZO0/bNkIdzPE1VyrtLRTkcmdQAlsQh7jEsch7jMdxxEiFyWAUaQo2tGnY4L aopOeJIkqyZ92wbee/oup2bm55/P0rdAJZNJcA3aoJ7pI0yXy5L7urBhbjPvH26PX1fs88un 24mP3Hv8fbzU85rVjwEVwDNM25AudGS7KO6Pn/+A47TKB/U9Omd5CsYVXIkdUdbPj2JQueBx dBMKXJ5ggoul4cM+QegaQxN42YsBqqL300NGxa6jRTnnFdzmy7Jiw9BmGgMYr75jfz4fHp7u f/t0GGfNMZfrw+3d4fuVfvny5fH4PC4xjmZLwnwuLGE6BLBYojCBX8B6kMijc5PZ+HVKrEHY eKdI0/hnGAEdY0WVtI/9ENCrZPwGK1LS6BYTMGQcKwlp71quNi43AByp9bSvxdeGMDTM/FIS E0k5S+8BxlCNe0W2ATfb8HIWNI16U5S/cR5Q8lz8ky2L9qdPT/ECbg4fj7erD761QymhzVio 4MmzAxIdqc02iNRsuTItvib1IaUxVLlN369v8REgapkTVPdID1+v4TPY2YVX9MoUc9Lunw93 GJz74f3hC8wBTcUswuYCqvFFkgunxmXeV3RXgqMidXl6KcRqV8XTR0a+BF256fXnZpplhCFd ML4ZqyL3CS8pKAxzr/FKoVh4+yobM+U3S2OygxwDVG1tw7eYz07R7Z8H5+2jWMPrLosfZ24w VyjFnMMyYiJdIttsNl1XusQpMZ+QDaD+rkhlhxdt7VIdmVIYGLF3k1Gk01aLUq7HN52W41rK zYSIhhj1EC9b2Sbez2nYOQt+3MPDRFAEkKPBYHOfyD+vgFrEhZAXiA42dJHtCUbu3mK7VM9u t+aG9a+MQl6YQKe7fF8TtIj2NZZrMal3/ibjBu/UulnUQgsMW/aPqae7o1ipO/DFXM5bL1c9 hInq6dCziTcOn4YvNnRh17BkvesymLp7uzGhCX4N0j2StR3gpJJ9NQJi2KoarDFsUpSEPs3P TkgO5g+jB2Hfs7gkP9sixSTRv0/OVv2i9fc9sx2O1MMJapj2HsuRk3v3uqvPQJmy6hVCL0Z4 szrdANfO5Tws0HLZLuRu4psd9w7XP9NPTKW/netzV4PbjoXyoCUuYAW7PSHOMjC9PeizNCOy feMZ9LrQdtIIVkzWs+W0E+cGkF6/uTbZbqY15683p4IsUVDCvJ1IZ9V4FY0qHXNi400b1x5p yKPTILDTbYUj7S+1GcUM9ZEOpBbvFdAe4HsUxVJBX0vx94ipYUaJ2lObdA3aJqk641ZvY3GT zd7rPRM+JgF/Hi/9YL0BFecBAbMXNC/7i6HzGYFMTMXlBapB3JqAufdA5qRRXRswCsZ/D0Ht rkOxWSRNm7uFTzZPkYbmCpP12zqCLr7MvhBawi+WQwP7e/7GXxTHOn7ABWCoIkM/9IN6MHwX sphZ0T+iAYBH1b4xHraWVG5/+O326fB+9W/3HuXL8fHDfR8GHh0fqNav4akObDUPwSbXu6d6 GjxzAIH4wQPAo5Revfr4r3/FXwbBj7q4OiEmiAr7WdHVl08vH+8fnuJZ+Jod5sDV+GkUUCNN OowW1MaD5lR00oeIupu+HPkLrOxnoUDI8L1YqKzsoyqNT4jGTJVeO4Qy0AunjZVZvyx99Y51 2hrpU13TNx2IIWcPPNIpoa65VnT42MvCMy9fcyHU05PxrIN/d7IzfF2wA6ShNX5mY3i42nFh b2+TTdsaDhFonL3IZJWuAudc+HobfNK2uIjavUSfXvtmVXTViE9MNdV4kfoOk7ljCj4+zXR0 1x4UVzxLjnF8tmpYqZbCv74WvmVIh1jt++w+VcOig/QVFlbbZSnnx3WBKSOFns4BF1A2ZB7O b26Pz/co9Cvz9cshOphDFsSQbpBafZ1LHSRMRKGHsHiMZU56DIcv3mEcMN4Vmw7hviAjx3fz gT8Ljbh0qUQ5WMH4w08BcbPP4js5T8iKd0kNEvc36FVdvw4ClLV7eNSAQsKjCoo/+vRLT7fm 2dFP0ZJtdyBUbKlxSIxbT9InXPhPieArOla1uaHDJstddF2sdhoM0wLR9rZAG8yj/exQbqvZ VJexyjJl2ljt0k1n5SNs8A9Ru4wV+A86FfEncsZEIRcf/PNw9/J8i3Em/FLayua4PgcClvG6 EAbBXSDeVRFHS2yX6LUMl4UIBvuPUwQS7XhpqnhjZsWgQGnMcsh785GxhcHamYjD58fj15UY 7wlmwZ+T+Zg+0VOQuiVx/GXI8nS0VGjYNY65dfalgWsXftdqYOcCO1MczoRV3H3rma9f4AeA yjZiWAEQbYxtZfPaLyKoOoG0ic89ZQDUwpAExvM6I7ssjHQI0Ybe8Rji06kkXi8IFr67LwXl 6uri7H8u02d0+RlTTFkwlXMHKH3PC66hyzRNkgvw4AwGuhZyCdMXLzfNJLlwpGRt2t7d6Pkz bA/y+oCSDef6cFqkuXP/GBljVZvJh37C1Hb7FgO/1ZNGk20DaqKmazF5MTfVKo1hzikkEXxe PnCeQx0mYuAHN2CsKgoz6k3m3gb6UJI9yvXh+Y/H47/xbn12hkGc/5+yJ1tuHNf1V1LzcGum 6kwdW44d+1bNg0xRFjvaIspL+kWVSefMpE6WqcR9lr+/BCnJJAVIfR96MQFSXEEAxHLrhigx JU0kQsw0fJ8LS0KCX4r+OLbgusyvfdlaKWrpEtuBF+CX4gJ3hVfUhpS4vIdBIWo776LI/bYB R0xGvKYDjjnFY42gpu32Ax9olJGxCWfZRGnCY7jhwFRpb4apnVlc3gI0NFtgYPlw/3ntwvuK MVt0WjceMgYjrBMEpvj7bWHbKitImZf+7yZK2LBQGyIPSquwck6a3rKlwKmBAe7g4uPZHnNY NBhNvc9zx/BfjdwMwQ8R1UO8yczs2ejnC5/UUmQyaw5zd3Cm0HLTUpyC+nxxK1zBzXT5UOPG EgCNi/0Y7DJgfNvB5mpC3GJDw5TsRANFCRcasWcvE+1WIghDzUpQ6O/6jWxX7IFbgdHoHsz2 W9eSsIcclYR1LAiLkh4rUf+bwJDTKPfbFL+ZepQD34WElNmh5IdxOFjHD98sfax0oq8HThj1 9Bj3nNgePYZIFfdfiInxRGxy4lhE0Px+9beYEUzH2gwWvwNU3iA9cNf8bz89fv/9+fEne1dl 0VI6NiDlYeVSg8Oqpbigp8NDa2kkE5EJLoAmQhUwcDhW6izaYhWUqBPonyFdCI9Bvi7Hwxqe T7dPmShxqzQNFcQu1kCPJtkgKerBFKmyZoU6z2twHilhQ3PY9X3JB7UNJRkZB02JPUS9VDRc 8t2qSY9T39Noik9DA17y2nsSUiUQxRleS4C1c1mwsi4h4LSUIr73KL+uVCb3Wqet7u2sxINI KtT+Acau30YawRQmbRDtjyfg7ZTsdn76GATaHjQ04BYvIBi0cKOQeCAIXmiBIYhWnmuG2SnV 4RDNNfxqDcYAVFMRP2AzYDWHTLMNNZ4NzkzZYL102FXuYMU2s+JARMXItlX3tasgGg/PHYLw 2q+tGUaWuJvjXbpXXAymj1ON5Lazn/k9GAiUmSG4ZX6HoCwL5d2e+w4DCkiyQ5cOn3oWU+/E k1YifF49vr/+/vz29O3q9R0UXZ/YLjzBl9XyvrpVzw8ffzydqRp1WO14rWcYO4UDRNisrygC zOIrtgaXyjmEqsO4IhQ5NgdjtMWKkzaOGLq1MvggWrwfmgp1C2ZysFKvD+fHP0cWqIZw3FFU aXKOd8IgYWRgiGWkr1GUi2V3Z9k6Rt4cfl4SZk8KdJADsinK//0BqhkDe1GF+sK49g6ILLSE DBCcd1dnSNGp0/0oSgTxJDy4Sy9BfHr1ynR37MKKgz1O183LyBVIlIgkqMr9535T2u/VL44t rQGaY4PhY5vVIGRhvkt92Qt6HB5xFfnIwrQr96/V2Nrha4RzSM4akSjtGmHRB5ypXw0uQV1o TciKWpCVmSo4AlDH91BtEYZLthpdsxW1AKvxFRibYPRsrMjrcluJiFAbbkszHurURowQNeCw sxqHVUTcX8VZEsbaNW5LmQbEF4YjagHGEAhkYxn64n9EmJcf0jBv1rNgfoeCI84oa840ZbjD RFiHKRGrK1jiTYUl/hBZJgX1+VVaHEsi3JHgnMOYlihVgyurDUqgT+vd96fvT89vf/y9fRnz TBJa/IZt8Snq4EmNj6GHx0RsrA4B4s+MImj5ZLwTFfES28EHVvsD+Hj7Nb/DBZoeYYsLr5dZ pBWXAFc38nj74eQ07aYmIZK+bnyAov7l+LHsG6lwutEv1t1kR+XtdhKHJcUtTr06jLuJJWO+ L/oAI777ASQWTvRjohtJMr6wpRhvvhUbx9tICQfjftGGrvvmqL88fH4+/+P5cSi1KrF6oEtV RWAzI+jzDBg1E3nESUccjaMVCQRv1qLEx1HwfoFT4f4L8kBrujsEgvPoeqBI7SjCMAb/cLpK evm7bxA3cYeiuRM8PLRWMWu4qxbhPVOvJAM7IZUFZIRqy0LJt/eEusdCGluIFgXCqk3h1PyE X3gWjigJGU7PU+hG7NeqebD5BeGHHgWggJ3kKEImqjHiCigyzEpCndyheN0fwHPCZ7sfCSR8 G++EGFlUjXC7nWyEyT19BejZKInnkA7hQMVj7BDGTkXbTcp9tZ/MeHyyjRLSfxQcDpaei5p1 D7o0N6Ukg7hwlOYMC/od5WDFKgvI2ebYcykmONRGWWgvipLnB3kUNeEUfDBiFrkYWqtFvgWP LmNOBK9N5Mj1r3vq6RgdjHQBAisoHsawciYx7Xhlh4GrYp3WxwkK6KZPaTNyaC0xxW1YOEaL jKnYAVpBehl537j5BbZ3zvschOL/IqjdApS+TRHoGgZcnZ8+zwjzXd7WO06fo6gqyiYrcuHF NOnFyUHzHsA2SLiIUlkVRjoeZGtT+PjPp/NV9fDt+R3sic/vj+8vjmlhSAk3jKABW8I3UcnF p4qSFePmlmF2OfAwX+0dmf4oKp46inYW70Aqmju3Q6qLtK8kmE7hQ2grwm7lKXhN6rSTiiXD 9LM9Nlikqk7o9BM62Ngu2g57o23jOrN5QNEucQhe99Dmbe8LmIoP1KOwKgqx2Ec9whEnclnI uonzSoxdPkMAFQP7KFk7XhU2tDel+hGs3356fX77PH88vTR/nq0EmD1qxtHY3z085ZFry90B 0OR4SOuyM02iLJPcFnUYgbEOKZ4MJi/RKat0kPvZpa2jUKUY6YtvhU14zO9ucG6hyMv9gBHa EDZgoSDSGfEyaSgz6TzGT2k5wQNRVzb2YthdnOA4CwZul2HuICoxT13pBMzpigMa5ME45LS0 uaNr0dO/nh9tZ3kHWbh6JO7FKLBxHRtn/0ebHdINl8DhFBpTxMut2vrnQh1AQb4GxaHLPbRF SLxaB6XhrMKeWnV1WWaDJmUXqm6kEpaupIehoXAINKBLP4SMxyiyx1lm3O9OExE3iqlAqCA1 cHvEvwOpP91VpnKBAky76kuvW2Ox/piJ7Ul8G4xi4XJr41b57YoC56r0vqpwMygNC3HWR3/S 89C8bFVqB2szXVwrYqOJLT77No4OjDKFxCDcxhSSTNydYNgbVfHx/e388f4CCfwuoY8Mh/Pw 7QkCJCusJwsNEmp2ISYuz2VTuC3Z+Xz+4+0IYQjg0/qNTVqNOTv3qBM3aGctcuHUBeWHZmg7 NPqp3oEDH38/N/zt21/vz29+5yCKgfY/Rr/sVOyb+vz38/nxT3y23d1/bAWJmuN5ncZbu2xd Ftqp50qWMRH6v7U7V8OEzXepaoY8t33/9fHh49vV7x/P3/6wn2zvIZL8pZr+2RSBX1IJViR+ YS38Ep5zEFn5ANOEznYOerS6CTbolhDrYLYJ0IMMwwJP4N5Kv69UhaWIXAHpEozi+bG9JK8K K0xTW3NvHCMTnpbo1avY5jorY2tyuxIluOxt73aTHiR1HJXLyjTfB6rRGc1/8wPevLyro/dx WZf4OIydclIMXN+Ok0m9xzYe68OhIJi4F50fZ6TtV9cH41YHfmOOL0g/L8A7RpXAeZgWzA+V a+BqynVwWFNXSRLgWo0OQKOF2qmmRdahJ5DP9cmcII3Svi6IZN4APuxTyF60FamohS2GKZHG 8fYwvxsROGkRQuO8HUFi1tjlbgAY85wZ7hsPLkNs0T6C1jfN5jmhxezi/sgXiv10veF1EtFh +rldTjlP1ri6qoiR+fUj2JogAr501hZhp9k2DNdW4a3ooaWVC+my5PULshtvt3VmdNQYrX9j vlfSxJZ40uyQ0KyCLKqKDGsSLjYpIzVbolwEJ/yNoEPe4/H0O3BaFOVgHLpUO+gYj/H1sFnt nl0A3ujXo2pLO3fq6ZmAyxMearCDVyHO/ujJA+UPiw5ElFa4aOD8ciJdb/+JiS5W0l0Co5U6 ZBxjSvpxAxwV8RSg8UXDTuVkN2oc3J4/H53z2Q0uWgbLk+LbC5zrUZQzuwd2G78AtxlEdMH5 pSTMayKBYi3iTBNmvFUmN4tAXhMR5BSRSgsJOcsgLKdghAltoqhfiushwzKSm/UsCCk/A5kG m9lsMQIM8Fh5EMuyqGRTK6QlEfS/w9km85ubcRTd0c0MP7hJxlaLJf4aFMn5ao2DSnjBTPa4 rkFSx8RmQ+mIZyfIQnlqZBT7zGTXzKEMc4HDWODTX+NkytXlkDlCQLcRNESdzwB/2mzhw+Bf PkYWnlbrG1yv2qJsFuyEP1+2CCKqm/UmKbnEV6tF43w+m12jh9YbqDUx25v5bHBc2jBt/3n4 vBKgs/v+qpOttlE+zx8Pb5/QztXL89vT1Td1/J//gv+6Mdz+37WHezQVcgF8Bn7SwPBJZ0op CQt1k5mPCErdQxuCCF4Q6tMURhIRdlYHw+8eMleuNVZ4b+enl6tMbdn/ufp4enk4q9m5bEUP BZidqIuUZ3LZMxEjxQd1Gzqll76o+1SJQyP9SN4/z15zFyAD2QnpAon//lefpkKe1ehsj8yf WSGzXyytXd/3aBAOcGyerEPAEpwig/u22iwMQl8R2gWNUtXy9AMYe4mTtyTchnnYhAI9gM4d 6agdhWs2LqLhSYTgGG1la4N0ZwUiZ2RF5MqBItIhx/H8irbWS1d303hCiWaa457/1D1oP21y jvysDu4//3Z1fvjr6W9XLPpVkZdfLOf8jnNyQ18nlSmlA2UoYDVkBWUF/lmREx+ra2uHfoFh Twl6ZEwLzp4woCFpsdtRTwMaQUdH1WIXvkR1R9o+veWREB0flmPwzZgN18nFEPrvCSQJuQ2m UVKxlYS7ncGpSqyZdg/7YxxM31GnmqWbjxK6XW979/KVrZhps1SDd62JoeiCWnHo8k0o/FoW aMxcDSyzPuousxR9/34+/6nw336VcXz19nBWBOnquYtxai2t/mhivxTooqzYQlCnVOvFtbn+ zOsUVOpzueLzBWhCsTPzVYBf+qYhrQuC5mgcKdIAsyLVsDjuj7ga66M/CY/fP8/vr1cRBBiw JsBSYKn9GxHhB/TX7+TgUdvp3Inq2jYzVMl0TpXgPdRoVqIiWFWhPevdD0VHnIswK4br2jWM cD81+0dRPSFx5qCb+zEgcRQ18IAbrGngPh1Z74MYWY6DUAy2HF4x5eQEW8oM2HgpZtdhQG6C PlNW1YSQbsC1WrJReLle3eDnQCOwLFpdj8HlckmIVT18MQXHmfgLHOfhDfyeDtalEXgc4qdE Q5OyXqxGmgf42PQA/BTgRhwXBFwm1XBRr4P5FHykA190msaRDmRhpa4O/LBohJzXbBxB5F9C woDRIMj1zfV8SW3bIo18wmHKy1pQFE4jKBoYzIKx6QcqqZqnEcBQR96PbI8qImReTSrYPEAz /bXQZDAmnVqxArfakW8q2rVaj5wJinxp4FieUINQiTglTIvLMTKmgUeRb4t86MlbiuLX97eX //qkbEC/NMGY+ey+syPR3WA20ciswHYZ2Qn6qWpknb9CUsTBsDrl+D8eXl5+f3j859Xfr16e /nh4/C/68tbxQsTFeklA7VYhM/fasV07jtwuyyL9tGACDDsWOlED4dAIyqagIKfgc9kCiWzf LXC06vWSyEAeXaK3UAjaHoIIGTgI0uTNTJR1ocmHsxY5qvQIsc2wgXuwqhIlYa2sELT+mwLK PCxlQqles0ZH/lUMzEFAiCNK7oGvkFGpFFBHuhvF4BW+36FleCVEpjLKtJl24T0iaXfAPuUS 1SisPd7mV14VXovjO0EvUBriGwGAe0JXGUE0JcI2GxZWv0ZR0DgNKVNnBVV0m4pmCYtOWxi3 86cXDCfcUTYRLrN3HieU6/FeeukljEqIc341X2yur36Onz+ejurPL5jONRYVB5NPvO0W2OSF 9HrXqYnGPmMZ76kxFpC7Vj+c2mHkQgaJhbNCbbFtbZ1eE20BHgMsZCEchC5Lw4VOqOuJPFTw 8IFrcu90tooRNxLCYE+MeMXVnFC8qxGT9v2iJEGHEwWBq4V4st4RrqCqD5IT4UPU/2RhR2tX Za7ZtjauViVdJpbUfXiuiYRXqrw56FXTmTwIQ8cD9SiXpxmViLDynU3NBgfjzIvi2zNOip4/ zx/Pv38HvaY01jChFQnZueM7k6AfrNKbTUBKzNyPemd0as2CFZ7loLanWbDlDf74cUFY48Yr h6KqCd6uvi+TAk3cbfUojMKy5m4mTFOkk0fHHpFAGthx9zjyer6YU7HQukppyPR15jDMMhWs kEQUj0vVmhdetlVOPUa1Dxe1nBpEFn51G+V52C/lVF1HCFc/1/P5nHxmLmHbUsKTWe08Y9Sx hwRbpx1qf2J3SdG2vLYNt2ygE2vFKofRFo7eNKxTyms7xflFAOBHHCDUIk3tlr1iUBxrLlPS 5Nv1GhXHrMrbqggj79htr/HTtmUZ0FVUZ56fAkf97W257syJXZFbKQXM7yY5ejlHoTlC2agz MPtvqHbFif2oBsy8ADnbHDPFtupABS9Np7otMHtap9JB7DN0LykmNZXCYQHboqbGN04PxlUf PRhfuAv4gJkO2T0TkhXuQUcX0q4CSXtyZ/+xU6NYcYKvnKQYEfdOYL1PhWfZFsxnhJZNI+Nf 5tcnXHPWCvHN+hoX5KJsM5/hR119bRmsCO2BoVcnUbECszqyx+xHkorSADeSkvs8IgzWrfYU +5hyR2mw5cHkzPOvLHHCSl1A8f6LqOUeuZ3j7PBlvp6gUSYJn2P1hia1taokzpIn5XyKlCX7 8MhdA3IxuXvFOlieTuiQ9aO6ZfCpOuD+8n9y/7cibO7rntjhzLEqPxCBCk9UFf+ecyFUc9cz opICUHUIETfO5jN8j4odfpV9ySbWvFW+OoT2kEWEp6W8RUO3yNt75y6C36Tvif1x9eUwL5xT k6Wn64ZwmFSwJS2CKqg8joJjzBnE7o9glRus9Vau19c4HQLQcq6axRXTt/KrqjqwKsA/WrRU oK+tpuXmejFxxHVNyTOBHqbsvnKOJvyez4hgQjEP03zic3lYtx+7SEOmCJeU5HqxDiYoCEQq qbz0jDIgdt/hhO4+t7mqyIvMi8ZHxKHra7ljEoqhhSD3uZIkMpP+ZoqMrxebGUKowxNVM7j1 XW/aKqUvRCLdPYjIZqV1WpqI1wm6DYpb7zNJQ5Ex1QQa/d1qrY1rzvOdyF0j9iTUuWPRhu85 mM3HYkL0K3kuIVcXOo67tNi5muu7NFycCOvju9Tnh221yInnDQW+Q7Oq2B3Zg0FR5vDvdwxs 8LxYqD20yibXtIpcZ47V7Hri5FQcZEmHg1nPFxuG7XUA1EXh46qipiTOWgcHb5amPgpJRRrr ENdzwpsFEHQms+pkstIiHazW89UGXfZKHT4ZShwGcRMqFCTDTLFtjn2QhEval4KRmtzOAWkD ijSsYvXHIS6SUMqpckiezKbUHVIoUu+aBm2C2WI+Vcs1JxJyQ2TZVqD5ZmIryUwyhBTJjG3m bIPffrwUbE59U7W3mRNvwhp4PXUvyIKpW4GfcK2VrPXV50xBnWkl7uTy7nOXapXlfcZDwlRD bSEikBaDOBM5cfMJzHfc7sR9XpTy3nUCOrLmlO7IeMpd3Zon+9oh6aZkopZbA7wtFa8EcZUl YbVVexqfYZsH4Yig6mdTQfJw/O4WYL+VqmWtsXdGq9mj+Jq7yTRMSXNcUhuuR1hMSSzGktxu vLUtD0+CJuAtTpqquZ5cICN8IucJAEGJaRPjKHLWJ+Ixca/J2xgXtRX/SPjY6pguW/9tuWMK FaffmBcO+1FXdGl2LtyjLmPwMimoaTI4ot6GVJAFQFDnH4JLCEw+VxsyFVuHEeYR2AvsduDo lgxzbauGrqC8tSFE3sTDCB47E/zRBdSXJKxVWtIIp/X6ZrPa0gj1erY4kWA1nTeKgRmDr2/G 4K0mkURggoUR3f9Wj0TCo1Dti5HmoxI4/GAUXrP1fD7ewvV6HL66IeGxzqRMQQUr072kwdqE /3QM70mUVAp4PpjN54zGOdUkrJWuJ+FKLqNxtFA6Ctbi4w9g1PRK9LIkiZHr/Fwh3ZP8pL7w JVQXP71l77BPdEyg4WgB6vDChgMkmwQucHT8wHHQwJrPZ4T9ITzVKOopGP3x1qaShLc3x06R qaCCv3G1ZYl3QHqK1bZ4L7dt7KjuGbuvASAW1jh9BuBteKQeggBcQk6WPW4jAPCqTtdzwgHt AicUtwoOeo01cbcBXP3JiZC5AE4kLq0ATJQJzv0dDYdt/bq8NWaeCKVK1sEc476derXzTKh+ jljzKOgSV9ppCOl2oqAbst7mFtL0EJxplW7mhAegqrq6xRm+sFouA/yx4yjSVUCYXKkWKaXk keWL1QnTKrmTmbk6N11AfOtmxZazgSMO0ir+yoYPT5WPOPNtK5ZJiuUBYIyzhHZvBo88oagI H1IBgZEwJtFur1OUX+6y8hhQ3DHAAgp2TK83K/yNRsEWm2sSdhQxJnT43ayUhOtIXAV47eE8 LK8ywj6pXF63KVFwcCVkhsbLtruD6LoVt8mrmvCL6YDaXg7iTuA3J0wEYfGQHdM1lsbQ6RWP ROiRoUxt9NkcT2oGsP/MxmCE/htgwRiMbnO2oOvNl5hS1h5hFfpvbVUdnFB5xKk21HDp64Uw TDawG4yxqFMdD0YOmtoExEtLCyX8O1ooEW8QoDf/R9mVPMdtM/t/RfUdXiWHvAw5CzkHH7hg ZuAhSJrAbLqwFEuJVZ9tpWS5KvnvXze4k2hQ7+Bl0D9iXxqNXtxlYKUSItiqET6zlmuhwuFl KRfbax5kpMJVhCJefH9usOTgBgs/y61R6ab/kRz6MbwQuuz9T4aCjEviuGvz+z2SCEYDSBQP cknG70eGOtzf4mDCdd3HUHtzVZDkOIXp8amfrb5usnT4sP9JpXi+TPzJjYULRXAjgmrWANjM 10T9OneQF8nNm1zDchYYpEzXmmCHC1WOD4bK3P67DpF8eUbXiL9MfZf+evf2Auinu7cvDcpw l79Q5Qp8aTGf7vU7ekmcLJWGJ9VurXZp8ErYHYQyNorJzgPOA36W+cgJS20y/ffPN9K+t3EC 2f85chdZpe12GJF46C+1oqCGZOUZZpBcxXs+jqP4apoIVMGvx1H4Jl3d04+n168P3x87i8DB 8NTfoxYt5Rm4gnzMbuYgZhWZnUfObJrkEY/d60LKFWT15ZHdwqxyJNbm2aQBz5+v177ZzcsI tDVUuYOoY2gu4ZNyFsSlaYAhmPYexnU2M5i4dhddbHwz69Yik+OR8CzTQlQUbFaO2ZiiD/JX zkz/JcJfEreLAWY5g4GNwVuuzS9NHYjYCjtAXsCWbMek7KIIdrPFoGtvPDBmiqtfo2ZAKrsE F8LioEOd0vlRE26pslN0oGwJWuRVjTKbLuSeWBh/lrl0DUllkPT9enfp4S02JeNjLvyb5yai vKVBjmIXK7GUYhgKvoXUFpfGcvmOhVl2NNF0xCXtiWbAird0luD5TJhY9CrI8HLGCRF5V5oe IKOf8Q60yyLkgfuBIXoFibGMXpMkKzjxnlUBgjxPmC7eAgojsd4SOuAVIroFudm8p6Jjd5EO XCrIWQLPGdgy6UbbnlOHM4sG2mMHY88OrhRNWhmkAcxKYxkdZmleeh0gNgtzWkCUhYRRVAvZ 7whFxA5REAqXA0RJRJHoQCeeJEwQdmItTN/iqdgaLUrymF0wZIyZT2pxShD2rF15WqHFjrkE RcEJ5wItSAR7rWA2U3G0KMsKs87fEBUGhLJXB1M83c92wYXH8MMOuj+w9HCamSqBBJ7efI61 GOS1TnNT4ZoTMZRbRH4tZsZtJ3mwoRefjto32FqrFH23gM6NiBr0UTxXzLw2eqi9iohw3h3m EKQX6pWyBzuG8GMOZJOZ17BqT4ZZG2XCJKWqewj3ZBkVjPXk1b1ENNnMWVF76OzK6CGC2PM9 M3c0gKGItRRErJ4+Mjy5zoIw/5/gCA2gPg5farKUlTxK/fXCzKEO8DelZE5rdU6xq/eBYzwx CCFsH3cIRC4PlGliH8kYYf49AO2DBEMG0If0AH2NlgtCdNvH1Xfc+cbAJs2Ix64ejCccRpPQ 9u/h5EbevI15/+nj9qf0/h39d1Q713G9eSC1pw9B82Or12N58ReEYGSKpbiQPhKuKI7jvyNL uKas3zO6QkjHMbNiAxhLdoHEePbvwNL832AipOxKKAgOcjt6jvnNb7B7sVT7i54fuhiDcq+v C/PFsw/V/y/QB+/7oBc+P3Nyfo24+QgfTIhYae2M90wJ/SybiTyTnAjFNqkpV5TXlQFURnov mR8jQLoTF5Ekbn4RSp4w6sTuw5TjEsaFQ5jYERGwBrCrv1m/ow253KwXhFuWPvCeqY1LiCX6 uCI7iPqImwfzT3JtfPWsb9V8qG1ZpcLB7RD2VRUgFAH18F5Lx5bXBdRRUUKLunQpyjOHOwjl mqsWG0YyP9oAQgT+ylofuB2mxDtuBUCl4iID1kGlhL/cKh+VwK42C+Laabpi5rnWigGBj09r pA14VR8J3/y1VPXCChFY87gx/exlQUTCWdhKOel/rKO08ylD7WZaXZOldV5xISEfM+vQVDMg mZA6j5jBaMeorxLDJck2b+Li7G42a1S8xev6LNKzIgvBp+yelgofHl4ftQN//nt2N/bLiBtm x2Eb/LiPEPpnyf3Fyh0nwt9jj+8VIVK+G3mE0kQFySOUgRk2ioqc8LASto0+mwQeH1BrC/NR xuOSpStGkWTH2RQRmceJPnH2gWBTU+Hac4FpTDpHr4aHkOpt4cvD68NnjKTe+Rlvdl1168bj 3HspiSrvESjSS2WiFddkH9kATGkwi4FH7iiHixHdJZch1/4+OvIp5detX+ZqqOJdKZnoZGLQ 4Y5YBfdI49FrhbZ1UKQVdnSLkiAm5NAiuwaVykhCDJtGYFxpRRn+3dKI3M0aIiFkaMhwMTfS 0+w+I2zIuCR0mstDnBDmPeWe8ByvA1AA30K0QgdKUEbt9CTWfoRPGHAg6MmzY3YWbOjXiZ2P o4AHlRPLp9fnh6+9J83hoLOgSG5Rlg53FyD47nphTISS8gJNvlms/Y4NJngfV0WZGKzuhrTD OWFST+mDJnN/UImB8+B+qQPPqD0CuwYFVR+j2lMfkBblCeaoxGDIBnIBlwsuWI1ZmYtXLI1Z bK6cCFIMDloooi91lBOMWkANCXpBo+mFJHorvoy03odEcptuM1aub7QH74OSXBLNEryNx5O+ fP8N0yATPWG1zxqDv6b6c+zpZHSlGSJq30jTxN7EGuf6kVjANVlGUUpo7LYIZ8OlR9lQVCCY KiEr4oDwAFSj6uP0owr22Nh3QOdgaIE5mxUha63JRU4f7kDeyQRGe64MjeIpemKcQhv3zMNt a5IHOrYLCdEnzwVHOWucmAM6XoCRSeOhhmabiKODTIY5eEwHG3kM6AhB30thl7xnWcxMhPPA Oc25CAb1wiczHhFRR2SW3vKpxkvt7/GzgX2ZHo0Ef4taaxhaekXx3x2AcKQBd1KX4v/zJsiu cezJ+vfYhgsd8NH3lpt/yj1lX5rCgUoSgcOlo2gd8uErAv7G6yihUxqk++jA8NUFZ5SZMYjg T04wDSyJMFyjoSIw+ces/5UnyW2yIJrggpaebGZ9ccJQqTmhh9cHhVmmqkhmk5mHEqmpLlE/ ZBe6CMUUYB0Ktud9xgNTtXIAbA3ZMFlHhBy0V6fCoUhq+wBdnIyyEKBUYdo0XzUsaPSyj0lB ss/CLvIrNrG9TmDIi1HwjDy6g0wg/QuGtbCHK6yy5w7l5bmlb4jIPQ2d8KKs6SL2CKekNRl9 dNnopchNV0WkwsXUGY8Kl4R4tyIKQqwARPR9S4gUgJrqx1lCyIJ07ZwAljYhUcDR5XK93tJ9 DfQN4ZC7Jm8J9z9IpnwH17TRk4+eB9phLjExZCQM0Vtwgf374+3p290fGIiu+vTul28w2b7+ e/f07Y+nx8enx7vfa9RvwFV9/vL896/j3OHGxvepDhNjDQkwxhImIwhje3dBDy4T7EwPXkbr MumZEQXz1ZRcTEJ+9siVQdSkR9k/sC9+B1YDML9XK/fh8eHvN3rFxjxDBZMTIX3X9a1C7wGX Q70PIKrIwkztTvf3ZSaJONoIU0EmS7jv0QAOl4eR9omudPb2BZrRNaw3ZQa8QPSPu1iUIy9n nYCE2vFG3a+IEFyamFDndTXBMPwgHT6theBePAOhzsD+0dT7bkmwu4RJs8wJecFBGn1658PQ zbmcmmtVp0Yu7z5/fa5CVhkC+sKHwK6hS5gjzU30UFpuMAcac0FtTf5Cz98Pby+v09NN5VDP l8//nR7zQCqdte+Xmmtpjsta+7oyr75DBd6UKfQBr10AYFukCkSOTmt7atgPj4/PqJwNy1KX 9uN/B70xKAmvNWY2clLXXhY8jVRhfiPAbqFC11/MJ2UViTw4E3rwmkp5IGmjmOfJwPq0n06H U++DJq4VczTBRgTBYEplISN3hbbvqH+8IJ7aw0DBzROqJ12PMI4ZQN6Ri/mMaCAyJK4rdWUp evN9+Mn1KM89DQZf0T3qVjMCmWvb1AZA/paIuthgktz3CM2DBgKVXgGPZ2+4CJcrczZNlffB ac/KREXudmWyM51MH53QbM4HPlXKT6soRaYjpYn3CJzzaX8qzDzZBGXuqhYWeytCG2EAMSuE dxDhLAgV7CHGzCgOMWbOeogxv7QNMMvZ+mxd6p7dYhQZJGKImSsLMBtKzNPDzIX61JiZPpTL uVxk5G1mRuvoo5tYO8RZzGJ2gXDWB8uO2AUxzRMmBSUoayoekl6KWkjOiDgLLURdc3vjY7mZ Cd2KoVNnejBGVxBSUMLPCsTXR7gOEmFWmz70HH+xNvOyfYzv7oiQdy1ovfTWRKiqBgM3TWHv v52Sip1UQEUfaHD7ZO34pPC3xbiLOYy3WRCBsDqEfW0d+GHjELfQbijWM3MLmenZGc+Vbz4y GsDHiDjhGgAslsJxZyagDsdCuH9sMfpYsu8WGrOdKUtFcFbaZztiXGe2rJXr2huvMfN1XrmE 5dQQY68z8hubBWEvPwA59uNGYzb2IxIxW/vMwAjDc7uKxixnq7PZzEwyjZmJPa0x83VeOt7M BBJRvpxjD1RE6YK1QyoIkV0H8GYBMzNLePbmAsA+zIkgePYeYK6ShKlfDzBXybkFLQg/gD3A XCW3a3c5N16AWc1sGxpjb2/1+mBvEWJWBMvfYFIVlRiEQHA6kmUDjRSsZ3sXIMabmU+AgTuc va8RsyVUOVtMrp2LzXTBzl9vibu0oN71mq/lQc0sUEAs/5lDRDN5WITFLd8kmOMt7UPJROSs iEtgD+M685jNhTL0bystZLTyxPtAMwurgoXLmV0VmLD1ZmY6awwRqrLFKCW9mZMbWNTNzBkY xJHj+rE/ewuUnu/OYKDH/ZmZxtPAJVQp+5CZ9QCQpTt76BD6li3gIKKZU1KJnApuMIDYZ6KG 2LsOIKuZqYqQmSaj684oP83ysYDb+Bs7331Wjjtz8z0r3525iF/8pect7VcXxPiO/V6CmO17 MO47MPbR0hD7mgFI4vlrQg1+iNpQsco7FOwGB/sVsAKxIcr6ItauSXw/fscVXR0XzlAYUiP0 qRoMXDHVSRjlSXE5VvkdgZhgxZ6lqE2Jtch2uypcXynkh8UY3IjURskYDg/N89C/aN94vaHH TMeCLPcZhq1nOSqsM1ON+8BdwItKT8zYM6ZPUJ22pOMamj6pJd1JkkWkIn/zHV0rA9DaTgSg b9dy7ODVgOsaReX0/2kDBlfRWryTmcq/vz19xdeK128D/co2i8rLpy4sSoLhFlZDrv6mzI8o ihd5OzO/jbOQWVTGSjYA85oB6HK1uM5UCCGmfNpHE2tek7ZFB2tm5i5qPRAFKjrE2cBVepNG Pwa2iDS7BLfsZHpSaTGVEpjWWMEwZrDkerpZLQp9aeinKMgN1vC0KHmTOznp9svD2+cvjy9/ 3eWvT2/P355efr7d7V+gid9fujB7LWjiJqbbs7KdassytzkOFFp9GYm1o09rBvecF2hgYAXV ka/soPhip+M9fHmdqU4QfTphVE2qSUF8rhxe0IiEC1SbsQI8Z+GQABZGZbT0VyRAizJ9upIy R6/gJWXyLSH/HVd55Nr7gp2KzNpUHnpQDE0VgTRvYZdgB9sc+eFmuVgwGdIAtsFxpKjQbgvR 9xx3Z6WTxENu77Aq8Dj5ub5dO0uSnp7JIdssLA2G8QSmhS4X6J67ounAx9KzVTsKhkvS0nEs NQDQ0gs9S9+pTwKPFIqM/DRFa/g2G8D3PCt9a6NjkJZ7W/eVLL/CkrSPfsq36NicHF0eeQvH H9NrzTz+2x8PP54eu005enh9HIYxj3gezezFaqQEVfknk+Fs5oAxZ970Abp0yKTk4Ug53ehY JoxEYIQjYVI/8fPr2/OfP79/RrUKi896sYvLSK4pjUQk46MdcZPKBY8qh2XEkwB+rx38LIgb sQbE27XniItZs1NX4Zq7C9oAGiECFVSJoPdYyzjAiUR+juS1ay1BQ+huQjLx1NOSzTe3mkwZ 3WpyktJZi8jB8ERk5Q8KNdQkj+jiK/7u0ykojlq3ilSYTvKo5ITCJ9IoZdCuELQO0de69+Ao /UOEfQzS+zISGRVCDjFHYLQT85Uayb6fC594Wevo9Jhr+obwX1HNyquzWhOC+xrgeRviSt8C fMKfdA3wt4QZfUsndBtaOiHz6+hm8Y+mqw0lMtRklu5cJyRezxFx5jkrtCI4CSmYIlwGAzGP dmtYWnQPFXG0dIkgQZqu1gvb59FarQmBO9IliyyxABHAV97mOoMRpM9UpB5vPswjegtAXsHM F4fX9WIxU/ZNRoQpP5IVLwOxXK6v6LEhIHxqITDJl1vLREXNJ8L5ZV1MIiyjHCSC8J6NThic BaEwZfXQoMvVAN8srO4AxLNVU3Nom+V00Vn4hC55C9g69gMIQLBZERJLdUlWi6VlpAGAsd7s UwF9GXtLOyYRy7VluVQ8Kb3ar77lEA0Kfp+lgbUbLsJfWfZsIC8dO6+AkPViDrLdjuTvtZTD ylp1uRRsj6IkQt5U2PYM9NOulTxHRtiacdu/Pvz95fnzj6lGbrAfGODCT7wWm7cFpBFOpDRN mJx11pTNqmffA0mTGAGYWJlnkAVIbl7Lmob6wjSZsrtAGtvteMSMofAqrmKvesb7530AMy6c JOCZh4Yl8oOz6d2mgCgvcBHGYPGZoYS46IUEhx/oIImX8dBfOabH0I2nq9WeScO0JiahpdUB JEt2qNtrrlF5FLK2fxpWDtN3oZG0C9HcshWFmojoplpLVD84i8WwVmgrVsIUjkuMZIBmJHQD 8jIamnC0Vi9P3z+/PD693r283n15+vo3/A/tWgZ3F8yhsgvzFoQHpwYieeJszM9pDUQHFQI2 fOubt+kJbsyu9wwPqMpX4ttCDCw0G0lsL3lYagFXG+J8RjKsyJERVCMlvvsl+Pn4/HIXveSv L5Dvj5fXX+HH9z+f//r5+oDb16AC7/pgWHaanc4sMAUh1N0Fd5rx3Mc09OF7MO5wY6C2AUNv hCH78J//TMhRkKtTwUpWFNloDlf0TGgHvSQAHw9yRVGqZxC0GpQnmbM0/uCuFxPkgQWFClmg Kv+l5yBB2BQHNYHbiGolz44BI3OOToM+nWA9f1hPySrLrd9rA4sEtsAyPhXV4nWG/X+m4kxq ImwKNFFc9jt6bexFQCkpIvkUm60v9AyWZumO3kP3wZ6KKYP0iBfFSZafGME7IubTlS47zKKD 6f0PaTn6lWosW+LnH39/ffj3Ln/4/vR1sg9pKKxUmYcw126w7/ccdRn3iVF+/XLDgsd7NpyU VQEtZVAl3vjIvwtfnx//eprUrvI4zK/wn+s0KtaoQtPchpkxlQZnTh9be+G4pyUhENITKcyu wB0w87VdHyGTIEmTnsgKtGnSU7zE14WjbHpl9/rw7enuj59//gn7bjz25ANHXiTQdX2vfyEt zRTf3fpJ/Y2rOcj0sWaoFmYKf3Y8SQoWqUHOSIiy/AafBxMCR8/BYcKHn8CFzJwXEox5IaGf V1fzEPdQxvdpCfsXN0ZabUrM+m/TkBizHcxlFpd9D1WQLrKY1XzD8APFE10BVfkomo7Gl8as 0CCJxB7Ra9k4K4CaC/P9Fz+8wapzKdcFAKDcXCAJeAPoF+JRCIdIKpIIPCERtACIcDRKM6uK X45oHYXt+GgEU8qGA/m3PVmEPWYAjroTO2RgcyyX5uGBWvAzSeMeYb2CNJ+wWgFawvzFmlBj xZkXqCIjq2vhk3Cc1c0hFMAqKtlLRLQXoARnSs8dqcQVBzuWZbBYOTknjzfCXzDQljFxCOOk yrI4y8i5clb+hnAriasXzhZGr4OgMHuz0iuTzDQCtpaK1Axk7SWF7EAhoxPdWIqjwCkWwjF0 VSuKIcG+4IU6EY6RcaYx9BiZCbJyIoS+pJeO5CIn/P3olk3c2NaHsPHw0ttk+PD5v1+f//ry dvc/d0kUT0P5tAUAtYySQMo63rJhmwmD6KiN1QfAbjPv6HuWsoIP/Ih2RG0ZZWxkh8mFv105 5SUhTJ86pAzgQmzeUnpFxrnvExrXIxRhatahErGk7BV6oPPaXXiJWSOxg4XxxiGk8L1qFdE1 Ss384Mz4tlabseDN2Qo3sx8vX+E0rTm36lSdCoZQchFNPAsCiwW8k9ZGATY1SxKs5xwdJvY9 +7BZDcQiJhwyB1wqtDuvNHHK8NZolpkYu5MQt2klB8nwb3ISqfzgL8z0IrtIuHu1Z2kRCBae dqgWMcnZQGzcquUFsFLFwDjbhC4yNdEUs37Q8lMqOLJpnK//Y+zamtvGkfVfUeVppipzxpIs WT6n5gEiKRERbyZIXfLC0jhKVjW25ZKd2s3++tMNkBQAoim/JBb6A4g7Go2+NM57+ge19RSY Lo04n/gbLa/KLfBnCfF4d8F0GJcuxIvKYjS6lR+p69aRPbZP2WmZ6K7urB/KJZKZlHmxmRBu fN0bJiaJ4KGzNWH6F2OmNimNO1czohdSUyFQmuVob10TVwXDvEk0ykJ3/vigDMdamjv9CGLF lWijSiMfNklutTxPvWohzMQ1voEJKevwFsL+6IXKk4LwjYl1I9wGyCJiuGbbbfRjVoklzNNO v5eoG5Y7hgNXXDe57qxmhVtf6YaPVv0uCD1vzIPfIalwnU3pvHC2x5yIj4P0uMiY+/6qmqM8 Dg6nE0q9HsvISkvj3WgZtxvL/OFsRhgOyAaJMWXiqcikZzZF55NbypgC6YKHlIsTJBecU44O W7K89xHmsAgqZxRj35Apu9GaTBnBInlDWDEg7WsxHlOmHUCfo/d8kuqxmyEhPJbkmFM6CHJj 2e6WtnxHzy1uR4QTjJo8pSxFklovh+4TpbbDSkr/QWKK7YKuvc/yiPUMylJau5DkiO16s6vi CSOWpniarIqn6XDMESYgSCTurUgLvDClbDoSVD/xOeF26ELu6XMF8L9cLYEe+aYIGgHH2fBm RU+tmt5TQCKGpDOGlt7zATG8H9OLDsmU1TGQFzEVtkSevH7PwYBEehcCVmFIhQhp6T2TSr4S zrZ0vzQAugqrNF8ORz11iNKInpzRdno7vaXcF+DMZgFGMyCMgOTU35IOWYGcxCPCP6A6ubYh YWoD1JxnBScu7JIeB0QIjpp6T39ZUgkVF3UsE/oTksjF3Q1lCY/0NOHems97+rVP/KGYCjYj 7fou9CunpBQ7pILePdZb0g0BUHfxwqWNGvp/yIc7zd23XCnM4mh91n2sNwjNFQgumYZwysI2 rHqnkDxQCT2rlzVhRqj4UA0sQ83Zqut5tAP0oMe9Joj7B5A98RdNoOBLDL3hFhKZUEopwUTh 5f0DsB45uAVMk2BLya4tKLMN5HqAPYtYA0o9lQ914/iG8p9QA2spU8+Uqz2foVVLc8e4uVxM 2wVgZ7O8grepMcaGSwrH+lBv1vbXcXZFqdeKP+wToUpC+9ZTirm9RGRowV6GDRElG/YcjhIh tiP6ciRjQDHOHq6UMRyN6KmNkOmCikbXIEK+oKwJJevt+eSrTFNElhImrxd62I8oYCjJeBUN aM3gVuf0XK8kAJ50y21txZmMhUEflr4cTI8wfpXnDjWnt7Op4XsNdoYqyoLu9FAbPPe7Yr2Q G4E74OfFb16RB8myCB0fB1jONnrGMnQ+amJ5F+mvCi7xenhEN+2YoRNhAvHsto4hbNSKeV5J h4FTiNzpvFnSUMjcKRITidhpkk7FyZTEEpcz8bl5EK140unYAFUvFu6RlgC+nGN8xAVRLGqN 5ZrgRKVx+LWzvwV7lmA9bfPSckmEPkJyzDzYq9zbA9KzPPU5BqiiP0Dv7JIMvVdw2IjFHPZ1 l9G1RLWxsY3MMPmWaZJz4d41EBKgZhrd02RQRkUMKO/5iuxS3JOUr9AldmWXQTznhF66pC8I /8RIDFOSH5F5i+lsTI8i1KZ/yax2dA+WHqp7ENYgQN8Aq0TIz5C85sFGcszUrrDLG8VAIx9H k1IiDy86a/gLoyJUI7XY8CR06iuo7kkEhx2uW4nIo90FSDrxDqVoSbqmZgh2qWt3a9Ir4spv YOBH5rIMbwGLhSXV53kZz6MgY/6IWhWIWt7f3rh3H6RuwiCIhFW42ixgnsjI5j37SYRvoT30 3SJigjhrgC9XS97c+uB+kaf4ZmQlp6hC112IGEOM96+HpHB5ZFaUnC/tEoFfcEYkkjsksNSw XUdprj1jaImOfnSFHDXIBYt2ybaTDQ4AfOwj92rY67DzqbB0aj/nMXPfS1X/QwHEnV3SU89j hGkukOEkojtKsFiUejwymWgdafi7bz+XXjHJkF8SUQSM3meBCnMb2JTA9RojEWWSRWXnKMop 3964xaHeHhM9p6AMYvYl3WHJ9CbGye0ENmARBB0OrghhW6MbW4QYk0M95dDbP3J4VUYorkjE aPE1IHRM1AHRd4puOCfDWiJ9y2ExkFT8cG+nfd35wA/27DjK60sVEg7oJYsXZW6/8C4WtrHo dbPZ6p7jm5M80xNqRPPwWH/JLvASTsT4SlttGaiE+85ad7K1F1/9A1p10tCD+wQviiioFf/M 6tYPlGYijLnlEhpTo0AKx9wCE3mTjDJu++HXyDLqZchEFXpmn5kfNwK5yXxJAjuqF1RJsKlf gVsdz/j49nh4etq/HE4/32RPn15RPf3NHLbGk02tjGC3jH7KNWBpQbcdaNUmhC0y4oQSc92F QvYhuu5Gs3C32rsSD7Ta5srR0F8jnazG5zJhMeiMdwk643A3Igd2ere9ucEBIL66xemixsfI KNP9+dJjLqalRVjvnZd0RwwPDRMQX5XpOTpxgSVeFVRXSVhR4PwQcL2yFmRAVEymL4Rb8qHX qj8CiRz8LQZqDjO7Yw0QF9lwON32YhYwjaCkngFKL13lSHW1M+1rhr56iUEQ0Ww47K11PmPT 6eT+rheENZCRB2KLCWnncO0px3vavznDlchV4VHVlxoRppZGKb2c0MNWxF2TowTOs/8dyHYX aY5and8Or7DHvg1OLwPhCT74++f7YB6tZCQ64Q+e978anz/7p7fT4O/D4OVw+Hb49n8DjGqh lxQenl4H30/nwfPpfBgcX76fzF2qxnUGQCV3lTqcqD7xt1EaK9iCuQ9OHbcABojiAXQcFz5l nqHD4G+CydRRwvdzwruiDSOMSHXYlzLORJhe/yyLWOm7OT0dliYBfQXRgSuWx9eLqwUkFQyI HYnHgQ4S6MT5dESopCi5cddpFS4w/rz/cXz54QoLKI8U36N8IEgy3tR6ZhbPaEtWefb4CcGI ytLlHuET6vnykN4QfitqIhU5ei5jWGDA8N6t+c7UJW07TcYjJXYjpSHkzGYyJkT+IOaEp5Ca SoSZkDuhXxal+7anqrYWAb1bRMEyLUjxiET07OXNjPV2dx7hy0TBpJM4utt9WuAgT8PC57SU T3YCSn99GD7gj+iu4MBHzdeEfYRsK91UjOftAc85z0kTbtmUdMPynPcgbMtci9UQQaGOxwXf oiljz1xFDeKFO0QvAnaQm54XwVfZs1t62iGrBf+PJsMtvRuFAthl+GM8IXzG6qDbKeE6WvY9 BiOF4QOGuLeLvJClYhXsnKst+9evt+Mj3Oai/S93ALckzRQ76gWEyVqzEYztNzftGkd8xyxk yfwl8VhU7DIiUp3ko2QseGlZ7sTElPOUIEbvpS7hDF6Z8NJxYRflFUQq+xvyxTa16sjwTNA8 x/mX4PLHgPQY7dQUpMpeR+GqYxRkCYyI1CiJ0qmE+xC60N2Tt6FTYQUkPfPYfX8B6LzEPV1r +mRCuC++0N1roqUTm35Nn1EeYOpBCtZpFTPuvrhcGkn4QWkBU8JPiRplf0T5hJf02kGpuKV4 PnXT9Rj6XOkBRN7kfkgo07TjPXG7dJf0tLBqYE0/yW///XR8+ee34e9yDefL+aCW/f98QeN8 hyRo8NtFBPd7ZwLPcc9yH2uSHkdbj/I21QBy4nCWdLQ5p6no62427+kz5UGnluI4+6Y4H3/8 MB5tdclEd2doRBZ0DEIDBgwyyW8bQDi63fykgWoN669DWxOb61Aq5rEBYl7B15ywCTSbUouY HD1+fH3HYIhvg3fV7Zeplxzevx+fMOboo3SuMPgNR+d9f/5xeO/Ou3YUgCcRnNJRMxvJYsob noHLmPXK54bBxYdyVGIVh+oHbr7N7F9SCYZ5XoA+DnlEdT+HfxM+Z4lLVhL4zIMbVYpiPeHl pSZklKSO3BNTLYyyPldegPUlIYmUiUVNRI2nKjZ9Uas6od8cZ3sa8h2h3yjpARnGsCZPRj1k PhvN7ibuB98GcH9HnBwKMKb0eGoydSAocjAe9gK2hCqxyj2h/D0p8h15/2wbTxgMSno+G017 y5/0N31CxX2ra2fZddTEvICJxrXpiQkYOmQ6G866lA7nhomhV6Ri55K7IxUoRRp6Zjl1YmNV 9en8/njzySyVmuFIS9bAdDYCaEgYHBtnEdqZgkBgFBbtCrLT0cbJkWwZbunpVcmDyjbhMmud rzsXifbFBWvqYEubfGw+n3wNCCnFBRSkX92yqQtkOyOcQTYQX8BFw80Z6RAi9IcGmd652bQG go6574mJ2WByMfHGV8rhIoKl616dJoZQW25AW4C4ZXYNQkYJInhoA0M5UjVA44+APoIhXD+2 HX07LIi4Wg1k/jAeufmdBiHgdnNPRBJsMIt4TMUJbAcU5h+h5KtBJoRJkl4K4TC0gQTx+IaI AdSWsgZI/7zJ17MZIUdoO8aH5TLrLGqM120uan3TGKGONyoWtJbSiMdg1B/YDHwxHhEXRW1a jIYfaf69KZ1Ubqmf9u9wOXmm64/ZvTjtbPf1yh8R3hU1yITwF6JDJv0dj1vMbIJBUjmhS6gh 74ir9wUyuiVkQe1AF6vhXcH6J0x8OyuutB4hhDNrHTLp38ljEU9HVxo1f7il7srtJMgmHnGp byA4TboX2dPLH3hPuTJVFwX8ZS34Vl1YHF7e4A7snGU+este1w/qbbGXVCJqPQC6DpXQhDhI loZDJUyrHWxIUVESRMKkogNo/dv4eJUz6PelTzydKNEDBzLBR2N0EirzA1yKUbkCvhwvY/cF 6oJxMD/+Bsv2GnuCS5+pdGeBTR7KgBToAVXhmoZ5nRqVosSyW0dgUIr3dDy8vBvzhIld4lXF luwWH81bHDwTpM/LRVenQpa34Ja7+o1Md4s365KIjwOpdV/pVtexaqK1rdz2PgAQ10uclY09 uqNfkcxTdFpd6k2sk6mBbHLFDs39+Ph4Pr2dvr8Pwl+vh/Mf68GPn4e3d0MBqHEsewV6+eAy D3Zk1MSCwWJ0MfAy+lCtDFA51j/zMH4Iz4MIbuDE5TzIQ989nKhxX0UsoxSLfc+fEw6c63DU c5720tMZ9U4pAfm8IJxkKqpb7LMov/ACVlNPzRuIjOFFhJ+BUzKt8sWKR+4ryjLzK2VNAkcq odmWSeGHOz9GSekbmVjwviZkLGFSo7sPhFZRsGH3IKQqZw8dX1sz5vdBULi6QgwZAqANjO0z W4fPOApgkUbpxjHPgyDImoYa8xtn6JX5nfFqQ6iFosJmwfLexqUi5HNWzYu+udCgQqp9shpe nLn3VNV6abOwpoSBCrOmVkR9lvZ2bxb3uKhGB1t5QViPKaXg3nkiv5CyVZFTDxpNKQ/EfUY+ AVfLmHgLV1/IiYfF+hkDNXghJQm8Phh2BCfGQpQ5GsChRGNczcuiILRW65LKhBdkWXG07Vc5 w3uNVISH4mAmJgVnhBKu+pwUg4psVGUu5SlsFiL0FSKjweSpqIjXSi/M0zhoa0lsRbDdsiR1 N6YpKFqhVCdK01Wp+fwJ0bwTaGhvmTHdclM9aiDt4vzq+fn0AmzP6fEf5Tbt36fzPzr7c8mD 0pD7WyJ2tQYTfDImokJbKMLXioki3hM1kOd7wR3hfkSHCTSjrDxrNbUeo5w9oR0eG/QrHKXm U7HqKplJnH6ejfhAl2ESuZSgTsbaWESrYF3YqfJnhR8xkPPIb5GXGru+qs0g2BTmqcsekEOf lJoQX3nEP7wczsfHgSQOsv2Pg3x3GYgui3UNqi0h+SV5D1r0bZOqJLtb88Pz6f3wej49Ou9v AarPoxTUOZ6OzKrQ1+e3H87yMrg31Vyou0Qjp36el4m/sYx8lcAE6vab+PX2fngepDC3/nV8 /X3whi+m36H7LmrGytX489PpBySLk3ldbRyLO8gqHxR4+EZm61KVI8Tzaf/t8fRM5XPSlZLn NvtzcT4c3h73MOYPpzN/oAq5BlUPfP8Tb6kCOjRJfPi5f4KqkXV30vXxgutc1/3D9vh0fPlP p8yG7VcBI9de6ZwbrsytscSHZoHGZsp7xSIP3KbnwRaPW+LQiNOceO8jrnJJ4dZTWsMJRV2O sk3c6T2eP0j3/K4rWYemVStDl3PUh/IANbvgR4EeEc3HcyUGDHew6/z9JjtXH67a5LpCgKvk uRdXK4yRgspaJArSq2zLqtEsiaVC1nUUluecIWZVtdwy1C1zs3ixqdOq2nw4o+Rz/wK7PpxY x/fT2dXpfbBWTsqMq2sRwkaGPvKirjCDvXw7n47fDMFI4ucpYWrTwLX7o9NvQPMUpv9sX7yU FG4zeD/vH1H11mHuIwqCy5PHShE6K+coUrunZoSuoyB9TUU8pmawVKvv4449tHcknFha0W+V J/Aj7KRqEuniQ495YVBt0KxSvf0bghcWcR+43Goh4A6bW/oxTbsFnsLMuOvBVjOqiIMbaGOL dqHcGp4ZZUIpAnSiLsu0SFitVKBjfS/qkkTglTkvdlbFbskn1i9zf6SD8TcJhg/Ec9l7xkNB wDFyhaAa/4UmbWkS8EBkd86Lns8lPOrJuhjROYHiXnhUnyNLaCls1GnVHNnSKs1cY47iTMm2 ct2QNYYtAjV/dzZdr1+QePkuo33ACvTbaamxtDQ74oBvJ3CVILXCjA8zRXCU+lCmhebzSf5E 5R2pbCsX9MKKky7NZ2rghuWJJTm8CMclgpqKilrkgVH2wyIuqrXLR6aijKyaeoU2nmgHtxDm alRplTnIC7k83XMInexGbFc5onl7+8d/mbYQCyEXk/uKpdAK7v8Bt+A//bUvt7TOjsZFej+d 3hg1/5JGPNC0jr4CyGxG6S86rWg+7v6gktSn4s8FK/5MCndlgGZUJBaQw0hZ2xD83Wi1oTpT hrZJt+M7F52nGMQKWJ2/Ph3fTrPZ5P6P4Sd9ql6gZbFwP+4lhWMTaM4Rd/MUN/F2+PntNPju anbHxa5MWJneoGTaOrafdLTkWkqOzmhd9o8SidET9YkrE7HP0FaTF2neKdsLeeTngcu1hcqM 9stoNCsKVpRaI1ZBnhh+g039miLOOj9dW6UibFmhBz4KyyXsE3O9gDpJNkabQYGSEgXM9Oih /usMZbMVL/ia5Tgkzxqj1x3B9itcqJcmVFgKYmOppDkqn9MnB/N7aAuaFsjdnKKGdEYgoUE7 eUD21HXeUx2a5OUsJkjioWQiJIjrniM+5glMFGojjXtan9G0h2R720ud0tS876MZ2sURjsd2 Yk1lK3u6O0+pyQsnKIYktOZjQ1yY+yn+1o82+Xts/zZXpEy71ec4pogNcbdS8Mp1skqr6cQ8 WhCOh2St1+onzjbWINxj0A9kYhfh0rZd5lL4DUxOqlkmI7Nk/1TN074F7e8q4yKhdULQDGeZ 5Jln/66W5kWhTqVtZb0gC8nlxClC6jN6J6Fmi67rAD9af4Wffr5/n33SKc3xWsHxanS3Trsb uzWNTNCdW7htgGaE8agFcuu0WKAPfe4DFadUcy2QW9xugT5ScULjzwK5BfcW6CNdMHXL9i2Q WxnJAN2PP1BSJyalu6QP9NP97QfqNCPUVBEEDC6ygxXB8+nFDCmjZhvl2vAQw4THubnmms8P 7WXVEOg+aBD0RGkQ11tPT5EGQY9qg6AXUYOgh6rthuuNGV5vzZBuzirls8ptItSS3QoYSEYt KTjuCcWIBuEFUUEIMi8QuOSWhGOjFpSnrODXPrbLeRRd+dySBVchcCl26/42CLhgRJYxSxeT lNwthTO671qjijJfcaenNkTgDc24kibc63gOa+JU6cI89WJ0ePx5Pr7/6mqNoa9JvVz83QQ5 rRx37obFu0QQghw5T5YEC10X6ebqlIgm8GkIECo/xGh5yqshwVfXsrzKjwMh5ftFzj2XaxpN 6mfn3cC/MhZSmKYrk3+pIU6Oos1fM6KujC2TuqV8UrbIjDkdw0YiruKYZXgTgDuUn/81nUzG U+NtXkasTgJfCqUwEmUl3SIz65rbgbnlY8D7oYBLpGVOORHGEEueLAb9x6igk309JAIZvMjR 9zWlmgOHnDG4QPVgfC5wmPoQwTqI0qwHwdaerL7owcDU91awEuDaX6Csuwz+unEMmIC1Szg2 byBFGqc7wq10g2EZtDsmfBW0KHS4nnEipkkD2jFCo/RSZ7bAJzD7kaX7NbgcpJsEZ59jXFFm ubRF6G0iOmhPmO02oYNCY0PD9xcnKh+sXXVoBFiOOdbm7GB85nKeCo386xPqPnw7/fvl86/9 8/7z02n/7fX48vlt//0AyOO3z2hS9QN30s9vh6fjy8//fH573j/+8/n99Hz6dfq8f33dn59P 509q210dzi+HJxlZ9fCC70KX7Vfpnx4A+2twfDm+H/dPx/82Yb/bXuIFTlNvVSVpYgh0lp5X ZVG5hN0A9rrSK6KArWgbZTd8vssDt75oDx43let50OQXsjiBsllp8v+VXVlv3DgSft9fYezT LrAzcNtO4jzkQVe3FOsyJbnbfhEcp+E0Mj5gtzHJv19WUZR4VKk9D4OMWV9TvFmsU51OjI+u B4aQRyxW2+jSw6nJ/GyMKnX3mhxtZeCeqkbrppffz/unozuIGDVmkTcMcxAsu7eysotZxSd+ eRLEZKEPDfOLKKtTMwOYS/F/lAZNShb6UGEqW6YyEugnFdNNZ1sScK2/qGsCDZavfrFkqOTD w69jKLc0dQPJ3R3kD/X1gv6KjVf9ark4OS+63COUXU4XUi2p8V9GeogI/IeS6uhR6dpUsk9E 3aTPQP327a/d3R8/t7+P7nDx3kOywN/emhVNQFQZ06FHBmoSHaKL2E6nrDT/b/sf28f97u52 v/1+lDxiu+SmO/p7t/9xFLy+Pt3tkBTf7m+9hkZmgkI9N1FBND5KJRMbnBzXVX69OGW8HMft tsoaJxGxjWiSy+zK+3IivyAPqit9QIRoQvfw9N30xdHtCalZi5Yh/9GoFdRPXK8Mt020Bc5A zgUdrWggV8vZX9eyF3P0zXzbJFe/Foz8VE8FhEVtO5pb1l1sGjtukLLsuH39wY19YcYT0Geg KvS6cKCLV45nkdL47e63r3v/uyI6PSGnHQnKrGT+OIgYwZAJkNOSc27YuleblIskNNXULo7j jIpWrjfacJd4q+IdW6yIz2bO4PgDUW2Rye0FPgXMa16fXUXM5RA3EIxEc0JwCbgmxOkJFTNA HxBpsPCWWJ6FQJBVe6Sx2P2QJHxg8pRNCFpypOlM5m9NBpOAkMm1pC+TlVh8nm3EunZaqTik 3fMP21h5Gogg8a/VwHZ2mkodi0oKUWaH909QdmFGvd7NdonojGqELJ6rOsyr9TI7sKcCsLtn 4pWPmKad3TkAoLICG12IiaGNyaFdHuRALtLgJqAfiHoBBXnDpZh0Lt/ZahIm6cNIFzXnSmND +qZJTvoPjBPyuCtmp7NlQlJq8ro6NNkDxG2H9ot4ftm+vqpnnsdnJcuc8xrRs3xDyxEG8jnj Fj3+erbvkpzOHrE3TeuHlRO3j9+fHo7Kt4dv2xdlxK/fsf42bLI+qgXpAakHQYQr7eNJUJjb WtEOXG0IkszU/Me9737NIHBSAtbC9TXzroBE0ge/PwKb4QX0LrBgrL5cHLwV+Z5B2yA6U+Xz P2tqPJOrvg5i1y2Fgq0SLoOFAUqzZdl/+sxEMTKAQSuPSsm8zq7DCQjX5/HZ7JYFcOR65/iQ SzCHSs8/f/h1+NuAjU65oE8u8CMT/Yn5+BUtkqE+/06obMBhJMgEN46H64AKmuuiSECkjvJ4 CJhp2P1NxLoL8wHTdKEN23w4/txHCQiVswiMhpXFsGV/dRE152D0eAV0qIW1KgboJ3lKNA1o H+mqPqnYrU540knKma1ACF4nyogUjEGxZRkRLC7avuzBq0K+R18xeOHr7v7xdv/2sj26+7G9 +7l7vDf98MEIpW8hF4hSbQjLetWnN1/+bdjlDfRk04rAHDFOVluVcSCu3e/RaFV1mGNEvqal wdqy8R2d1n0KsxLagAarS/0KznffXm5ffh+9PL3td4+2PSf4Z9CO8GEm+VKIAGAsHu12IVnW Mqqv+6WoCm16S0DypGSoZQK2jplpBKJJywxSH2dCjkpoS6SjSsQZJTFWKqkg9yuro2w0e3dI TvGYgGMZQBx+8CCt88wWbEXy/JJ3kFW0cN4MUe+/2ixy1nY9pRHDl6NTl3xK6sgP3C/APSFK wutz4qeKwrEaCAnEmud0ABEyKlVJZQxAIp5Rj5hwp1moHuDczyhBECosjNyLI14EZVwV80N3 A1y6vIVzZZ9plg7Mn2GadVOh1/+QqM8ohUiGfvkZWb65gWL37yHDpV2GLkO1j82Cj2deYSAK qqxNuyL0CI08of16w+irOX5DKTNyU9/61U1mbCCDEErCCUnJb4qAJGxuGHzFlJ/5O9rUsg4k NOe/CnJtdj/elU0VZSo/YyBEYKacDNBRxvRaUkVghNdbRwaUx2Z/SvmC6hsVuyfH1KKW+gsi +kj+kPMPaFa56oJxvoDqc1LgGYS664XVmPjSPP7yykqrC3/PbYcyt+2co/wGAnlY6kBxCXIl ii0p6swKxVhhQrWVvNfMXJ5d1JzArWDdwagv1/N3FTeVP6urpIXIutUyNqfJ/E1/aiy2ZQXv z9Fmcmw/lJOeLYA//3Xu1HD+a2FszAb8+CrT8WKwPI8u1kFu+HI38rh0nKxUl8nRH69474a2 tZaascHS55fd4/4nBmr7/rB9vfdNSfD2v8B4xBYvpooh7ymtf6nKpkI3nlUOivtRo/SJRVx2 4LAxJnrWfKBXw9nUCrAs0E3B1E3kma+TThGmqsOQscMwvu93f23/2O8eBi7pFaF3qvzFGDRD PS2/hU8zYnCSEpVRRQfWOLArjfUigiJBv6Avi+OTM3vma3nWgMcjEwZCyLciVhyQmn3VJNtQ OU0g13ujwluQ+7Gq5dRnN4mE5FnpeGSpKiW7CiwTeBAUgRNSf+JoLQj2sK/K/Nrtel152YWG hlcikiMDKuuaCio9hWZ432SN6wzycQITLS6nthiFo35azdqX418LCqUylJj3CzRa2Xa7peBq ofnpQb0db7+93d+rnWnw05CGZtNC5lVGk64qBCCe9iQGq6nWJSOaQLIcdohWxDwxpq/0nHGB gogKsh3x+SUUqgq/Jpyiq8m7UMMYkxhAoJ0PsdBSla4ex17eu2Cu4C8lTWE3iTLP6BonR5Qi kiYrI8c/YFQoPuLHisB+WXnlo4GE/+Nh3QPjwIXtAliarVJZz/zoYBfBW2+ZV2t3gTLEKMIu XgRNUBrM8kBVxfjTL4t/ufYb0wJ3apM/iqorCLUOjg0RcbykEBPAU8pBfUf5093Pt2e1w9Pb x3vrDIZktyDr6mpZUytXHGOIBbZz78EpYp9CkKQ2YOLpry/l2SZPuNjVwYx+2nS7zf0IUcPk YVnR7rMWfbRhs4jI43StZdoG+fp4dhGptiQRy7Q9nVOP2iCQMRHvr5nFCE25SJLaOVqULAEU 6uPCOPrP6/PuEZTsr/87enjbb39t5f9s93d//vnnf438CeBYjHWvkBXyubNayKWrHYjpNyLU AV2bO8rg4d4mm2Ruq1FRfhzI4UrWawWSJ1u1dk1F3Vatm4S5/hUAu8bfBQqkw/XncmIO1AVj jNJtOmikOaBy38DDgj/9p47O8q//YFWMaxXWIx4h5kJAJkOORd+VoI+S61Y952e6fKHuJvZ8 lv9dQdSLhrgY2ISkw+l9gN7M3b3ogJ4lTM5UhYmE7CPEKMt952sRdTSPIQlwryz5WQMEN7UG BC4mZCLH0+dkYdK92YHC5JKIfDsFUbIa7W2by4EnFHyKkWHScHlKRgpk4owESrY+rVowdcSD IdGRZEi0no0+EaIS8tz8qvhb6knYlYr1daDWc1J5dlO1TDtMtqmMrp34fvo5DOqiaQ8Qbn5V rSbA9D8GZmBs3jx1JYI6pTH6dbXUE8wT+3XWpvCab9zvKHKBAU4kILLywCMEnL5xcQESHwlu JdHwQ1XLRFR1R3acNHxGh91yafYHozsi3pIrwEqAxaMShnmj4OG1OIEB+rOz9PaGMy003y6S pJCvM/n4wIYzQWXEpeSDlnMVqSt9BpCu5eqbAwzzN8wR3RD1874pAy9FqH7NQwbAFK5vVN64 1tG6HLJUww6Nhx8wd+sIl4tmFqh4Gb93ulVDBtqs6p0VfiE/ESbD4BuyKbpYbwW33EF7Y9oG 8uit+eMZYiAjlJ46UAjpbFP8vOCG6kN5wqRFIJjMCdOW+QfIg+03ljGKcHikGpAEJLDgNAOz S7HHkvvL4gSzMS9OP5+hqHR4T+n2yfNB3lH4JWiqG3w6v4iZUFGofEQlW+MkFLchLFWtGXz1 oBMJ19dwOsslrzRzOYcgjJ6hoxS5yisIbMmiLMn2zFQlAu5Jlq7Yyo9nDH9nDlCabNwQH84I Kkmn8j9iVu6AayLG3UmpiiWiZaJxIUDpN3m6ksLO0iUvwGShQ0TXMU45SN2g0oCn63c4jxBg B4JubjMDzpmxIDVjkjGr9c6k4EPiVcE/NlTngTdhPdLUCNZzww967RQkxVxCNFTyylk4cCoN SV9FIZ8FMwOlosvM9IcXNA8LEh3oWOdHtSiLamZFFEkRyQt3dnegqp1Rp+pKWICk8ScPSt4w azkoyUXHh9tqgqLOE1YMhzKxi1VsqX7g7zn5WReiFAmOR5A6B7klREMqxQDjr4I8W5XyMDeO ekMuh+ECswYfx+vE4C+VX+mAsNRUlU0jPqzOaHl5LfNg1RDJ7gKRX2sVRdeYWtTzj/3wlEQ9 hhmV2fwVU1ccruzwe86H+k3MmLpjUoKWPX2TZdbXq9aLwOS+vqhAcXHVyUNIuw65kqA8XOYd 6QuNy2VkZCiZDjRa5foTc7rHrBqYiOPN+bEzlZrAGKaOiJkNPmKAN+VlBKiVAodX20i3JsK5 OWME9oiMEkuJAYpsrvtqlFBbUlscjYqDDvczKwLsynUGET0JPYzraqdUiP8HgPyPxQbZAQA= --myz6myfv32gqcuvi Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX18KSW50ZWwtZ2Z4 IG1haWxpbmcgbGlzdApJbnRlbC1nZnhAbGlzdHMuZnJlZWRlc2t0b3Aub3JnCmh0dHBzOi8vbGlz dHMuZnJlZWRlc2t0b3Aub3JnL21haWxtYW4vbGlzdGluZm8vaW50ZWwtZ2Z4 --myz6myfv32gqcuvi-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7173823819300058559==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: Re: [Intel-gfx] [V3 4/8] drm/i915/dsi: Add check for periodic command mode Date: Wed, 20 Nov 2019 04:05:08 +0800 Message-ID: <201911200415.FwxROgO0%lkp@intel.com> In-Reply-To: <20191119123316.5094-5-vandita.kulkarni@intel.com> List-Id: --===============7173823819300058559== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Vandita, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on drm-intel/for-linux-next] [cannot apply to v5.4-rc8 next-20191118] [if your patch is applied to the wrong git tree, please drop us a note to h= elp improve the system. BTW, we also suggest to use '--base' option to specify = the base tree in git format-patch, please see https://stackoverflow.com/a/37406= 982] url: https://github.com/0day-ci/linux/commits/Vandita-Kulkarni/Add-suppo= rt-for-mipi-dsi-cmd-mode/20191120-015713 base: git://anongit.freedesktop.org/drm-intel for-linux-next config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.4.0-14) 7.4.0 reproduce: # save the attached .config to linux build tree make ARCH=3Di386 = If you fix the issue, kindly add following tag Reported-by: kbuild test robot All warnings (new ones prefixed by >>): drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_configure= _transcoder': drivers/gpu/drm/i915/display/icl_dsi.c:718:11: error: 'TE_SOURCE_GPIO' u= ndeclared (first use in this function); did you mean 'DP_SOURCE_OUI'? tmp |=3D TE_SOURCE_GPIO; ^~~~~~~~~~~~~~ DP_SOURCE_OUI drivers/gpu/drm/i915/display/icl_dsi.c:718:11: note: each undeclared ide= ntifier is reported only once for each function it appears in drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_config_ut= il_pin': drivers/gpu/drm/i915/display/icl_dsi.c:999:10: error: 'UTIL_PIN_DIRECTIO= N_INPUT' undeclared (first use in this function); did you mean 'UTIL_PIN_PI= PE_MASK'? tmp |=3D UTIL_PIN_DIRECTION_INPUT; ^~~~~~~~~~~~~~~~~~~~~~~~ UTIL_PIN_PIPE_MASK In file included from drivers/gpu/drm/i915/display/intel_display_types.h= :46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_deconfigu= re_trancoder': drivers/gpu/drm/i915/display/icl_dsi.c:1164:20: error: implicit declarat= ion of function 'DSI_CMD_FRMCTL'; did you mean 'DSI_CMD_RXCTL'? [-Werror=3D= implicit-function-declaration] tmp =3D I915_READ(DSI_CMD_FRMCTL(port)); ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '_= _I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of ma= cro 'I915_READ' tmp =3D I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ drivers/gpu/drm/i915/i915_drv.h:1981:57: error: incompatible type for ar= gument 2 of 'intel_uncore_read' #define I915_READ(reg__) __I915_REG_OP(read, dev_priv, (reg__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '_= _I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1164:10: note: in expansion of ma= cro 'I915_READ' tmp =3D I915_READ(DSI_CMD_FRMCTL(port)); ^~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h= :46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:287:22: note: expected 'i915_reg_t {= aka struct }' but argument is of type 'int' static inline u##x__ intel_uncore_##name__(struct intel_uncore *uncore,= \ ^ drivers/gpu/drm/i915/intel_uncore.h:302:1: note: in expansion of macro '= __uncore_read' __uncore_read(read, 32, l, true) ^~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1165:12: error: 'DSI_PERIODIC_FRA= ME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GE= N6_MBCTL_BME_UPDATE_ENABLE'? tmp &=3D ~DSI_PERIODIC_FRAME_UPDATE_ENABLE; ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE In file included from drivers/gpu/drm/i915/display/intel_display_types.h= :46:0, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/i915_drv.h:1982:65: error: incompatible type for ar= gument 2 of 'intel_uncore_write' #define I915_WRITE(reg__, val__) __I915_REG_OP(write, dev_priv, (reg__)= , (val__)) ^ drivers/gpu/drm/i915/i915_drv.h:1979:45: note: in definition of macro '_= _I915_REG_OP' intel_uncore_##op__(&(dev_priv__)->uncore, __VA_ARGS__) ^~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c:1166:4: note: in expansion of mac= ro 'I915_WRITE' I915_WRITE(DSI_CMD_FRMCTL(port), tmp); ^~~~~~~~~~ In file included from drivers/gpu/drm/i915/gt/uc/intel_guc.h:9:0, from drivers/gpu/drm/i915/gt/uc/intel_uc.h:9, from drivers/gpu/drm/i915/gt/intel_gt_types.h:16, from drivers/gpu/drm/i915/i915_drv.h:81, from drivers/gpu/drm/i915/display/intel_display_types.h= :46, from drivers/gpu/drm/i915/display/intel_dsi.h:30, from drivers/gpu/drm/i915/display/icl_dsi.c:35: drivers/gpu/drm/i915/intel_uncore.h:294:20: note: expected 'i915_reg_t {= aka struct }' but argument is of type 'int' static inline void intel_uncore_##name__(struct intel_uncore *uncore, \ ^ drivers/gpu/drm/i915/intel_uncore.h:308:1: note: in expansion of macro '= __uncore_write' __uncore_write(write, 32, l, true) ^~~~~~~~~~~~~~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_period= ic_cmd_mode': drivers/gpu/drm/i915/display/icl_dsi.c:1318:16: error: 'DSI_PERIODIC_FRA= ME_UPDATE_ENABLE' undeclared (first use in this function); did you mean 'GE= N6_MBCTL_BME_UPDATE_ENABLE'? return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GEN6_MBCTL_BME_UPDATE_ENABLE drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_get_confi= g': drivers/gpu/drm/i915/display/icl_dsi.c:1341:14: error: 'struct intel_crt= c_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags |=3D ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_compute_c= onfig': drivers/gpu/drm/i915/display/icl_dsi.c:1374:13: error: 'struct intel_crt= c_state' has no member named 'hw' pipe_config->hw.adjusted_mode.private_flags &=3D ^~ drivers/gpu/drm/i915/display/icl_dsi.c: In function 'gen11_dsi_is_period= ic_cmd_mode': >> drivers/gpu/drm/i915/display/icl_dsi.c:1319:1: warning: control reaches = end of non-void function [-Wreturn-type] } ^ cc1: some warnings being treated as errors vim +1319 drivers/gpu/drm/i915/display/icl_dsi.c 1305 = 1306 bool gen11_dsi_is_periodic_cmd_mode(struct drm_i915_private *dev_pri= v, 1307 struct intel_dsi *intel_dsi) 1308 { 1309 u32 val; 1310 enum transcoder dsi_trans; 1311 = 1312 if (intel_dsi->ports =3D=3D BIT(PORT_B)) 1313 dsi_trans =3D TRANSCODER_DSI_1; 1314 else 1315 dsi_trans =3D TRANSCODER_DSI_0; 1316 = 1317 val =3D I915_READ(DSI_TRANS_FUNC_CONF(dsi_trans)); 1318 return (val & DSI_PERIODIC_FRAME_UPDATE_ENABLE); > 1319 } 1320 = 1321 static void gen11_dsi_get_config(struct intel_encoder *encoder, 1322 struct intel_crtc_state *pipe_config) 1323 { 1324 struct drm_i915_private *dev_priv =3D to_i915(encoder->base.dev); 1325 struct intel_crtc *crtc =3D to_intel_crtc(pipe_config->base.crtc); 1326 struct intel_dsi *intel_dsi =3D enc_to_intel_dsi(&encoder->base); 1327 = 1328 /* FIXME: adapt icl_ddi_clock_get() for DSI and use that? */ 1329 pipe_config->port_clock =3D 1330 cnl_calc_wrpll_link(dev_priv, &pipe_config->dpll_hw_state); 1331 = 1332 pipe_config->base.adjusted_mode.crtc_clock =3D intel_dsi->pclk; 1333 if (intel_dsi->dual_link) 1334 pipe_config->base.adjusted_mode.crtc_clock *=3D 2; 1335 = 1336 gen11_dsi_get_timings(encoder, pipe_config); 1337 pipe_config->output_types |=3D BIT(INTEL_OUTPUT_DSI); 1338 pipe_config->pipe_bpp =3D bdw_get_pipemisc_bpp(crtc); 1339 = 1340 if (gen11_dsi_is_periodic_cmd_mode(dev_priv, intel_dsi)) > 1341 pipe_config->hw.adjusted_mode.private_flags |=3D 1342 I915_MODE_FLAG_DSI_PERIODIC_CMD_MODE; 1343 } 1344 = --- 0-DAY kernel test infrastructure Open Source Technology Cen= ter https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org Intel Corpor= ation --===============7173823819300058559== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICNJH1F0AAy5jb25maWcAlFzdctw2sr7PU0w5N0ltJZEtRfE5p3QBgiAHGYKgAXBGoxuWIo8d 1dqSdyRt4rc/3QBBAiQ4SbZSaw0aaPw1ur9uNPjtN9+uyMvz4+fb5/u720+fvq4+Hh4Ox9vnw/vV h/tPh/9b5XJVS7NiOTc/QuXq/uHlz5/uz99ern7+8eLHsx+Od7+sNofjw+HTij4+fLj/+AKt7x8f vvn2G/jvWyj8/AUYHf939fHu7odfVt/lh9/ubx9Wv9jWry++d39BXSrrgpcdpR3XXUnp1VdfBD+6 LVOay/rql7OLs7OhbkXqciCdBSwoqbuK15uRCRSuie6IFl0pjUwSeA1t2Iy0I6ruBNlnrGtrXnPD ScVvWD5W5Opdt5Mq6C5reZUbLljHrg3JKtZpqcxIN2vFSA49FhL+rzNEY2O7ZKXdgk+rp8Pzy5dx YbDjjtXbjqgS5ia4uTp/gyvcj1WKhkM3hmmzun9aPTw+I4exwhr6Y2pG76mVpKTyK/nq1dgsJHSk NTLR2E6206Qy2NT3R7as2zBVs6orb3gzzj2kZEB5kyZVN4KkKdc3Sy3kEuFiJMRjGiYaDii5gMGw TtGvb063lqfJF4n1zVlB2sp0a6lNTQS7evXdw+PD4fthrfWOBOur93rLGzorwH+pqcbyRmp+3Yl3 LWtZunTWhCqpdSeYkGrfEWMIXY/EVrOKZ+Nv0oLamOwIUXTtCMiaVNWk+lhqDwOcrNXTy29PX5+e D5/Hw1CymilO7cFrlMyC4YckvZa7NIUVBaOG44CKAg633szrNazOeW1Pd5qJ4KUiBk9MpAlyKQhP lnVrzhSuwH7OUGie7qknzNhGIyFGwabBwsFxNVKlaymmmdraEXdC5iweYiEVZXmvmWDegfw0RGnW j24Q2ZBzzrK2LHQs2oeH96vHD5MtHHW3pBstW+gTFKyh61wGPVopCavkxJATZFSOgZAGlC3oamjM uopo09E9rRKyYhX1diaQnmz5sS2rjT5J7DIlSU6ho9PVBEgCyX9tk/WE1F3b4JD9GTD3nw/Hp9Qx MJxuOlkzkPOAVS279Q0aBGElc7QANyDSisuc04SSca14Hq6PLQsOMC/XKER2vZS2vPtNno1x7LZR jInGALOaJfr15K2s2toQtQ+H3BPDZg5WNO1P5vbp36tn6Hd1C2N4er59flrd3t09vjw83z98nCwS NOgIpRK6cKI9dIHia/d/JKdMnM5R0VAG2g8qmpDDlNZtzxMc0MRrQ0IRwiI4OhXZe54h4TpRxuXC LBrNk4fvbyzUcGpgibiWlddodqEVbVc6IXiwLx3QwiHATwA7IGEpfKFd5bB5XIStYXmqahTcgFIz 0EyalTSruDah4MUDDLZ14/5IWlu+cWhIJ5EQApoCbAcvzNXrt2E5LpEg1yH9zSjHvDYbQEEFm/I4 jyxgW+seEdI1zMoqBr/c+u73w/sXwMurD4fb55fj4ckW93NNUCONuCO16TJUpsC3rQVpOlNlXVG1 OrDStFSybXS4dWDPaXqlsmrTN0gslSO4eYz8C8JVF1NGlFqAkiR1vuO5WSc7VCZsm6zSd9vwXJ+i qzwGajG1ABG8YSoanKOs25LBsqWaNoBwwgOMpx7H0VMSzHK25TSl9no6NJyqEz89popT07MmN6XH ASCCwQZtFAAzMDp18BvBYB1JAAxfQVFKP8P0wrY1M5O2sFF000gQfzQOgD5YctxO3NGFmMnTWGev QUJyBnofcEy8/15AUF8GjlaFKnRrEYAKXTL8TQRwc0Ag8ExUPnFIoGDih0BJ7H5AQeh1WLqc/A58 DPAcZQNWBdxExFV2M6USpKYsWrlJNQ1/pJTnBIQ7NcLz15cRxoc6oIApayzAg9lTNmnTUN1sYDSg 43E4wSo2RTiuRTU+6VSAV8JRdIJxwOFBON3N0JTb21lxsQZ9UM38jwFiROp1+rurBQ+d7gBCsqoA U6JCxouzJ4BuizYaVWvY9eQnHIWAfSOjyfGyJlURCKCdQFhgwV9YoNegdwNQywOBAkPfqgiEk3zL NfPrF6wMMMmIUjzchQ1W2YvomPoy9BISWzuQ7WrgKUP3KMI5TeG7Tx5eFATrqBapc2stFIZTxvEC t5pONgkcjcjLgMosz5OawIk09NkN2Nxayz4e1RyOHx6Pn28f7g4r9t/DA6AeAnaUIu4BrDqCmZjF 0LNVsI4IM+u2wnpXSZT1N3v0HW6F666zSC4Sc121mes50hNSNARMu9qktWZFUuYKeYWcSQZrr0rm 4wlhD5aKNhHxVafgSEqx2NdYcU1UDo5L2k7rdVsUgHMaAn0OrunCQC22Aj8Tg2uRzjBMWO8P43y8 4HTicIMJLngVnRSr+aw9ilyUOK7mK1+/vezOA80Pv0Mjoo1qqdWnOaPgMgdnTLamaU1n9bq5enX4 9OH8zQ8YGn0ViTwstvt59er2ePf7T3++vfzpzoZKn2wgtXt/+OB+D+0QEYIN7HTbNFHUEIAj3djp zWlCBGja9iwQAKoajBt3TufV21N0cn31+jJdwcvfX/CJqkXshliBJl0e2lVPiFS34wpeUW+0uiKn 8yagh3im0LXPY0gwaBoUKVRk1ykaATiCMWJmrW6iBogVnM2uKUHEplEsAHsOojnHUrFgStZX8SSr voCVwuDDug0j0lE9e0aS1dx4eMZU7SI3YB81z6rpkHWrMWC1RLa+gV06UnmIO+NgRUp7zQdDsqc2 OhxwWDotmqWmrY3GBQqtAFvOiKr2FINOob1rSucGVaALwZ4NjlQfddcEtwYFHtefURfVsgq+OT7e HZ6eHo+r569fnFcbuEs9mxsJ7SNZi4aNUykYMa1iDjLHJNHYmFcU75JVXnC9TmJSA3DA3R0M9ZGN k0BAZiptMrFOxksYWYIrEtm1gU1FQRlRS9Q6NaqoAqhBVsGpTevosca7liyYl7FO1ei0y4VViBhH uez3cKmLTmQ8CsH0ZXOfJupA5fT8zevrRTpIZg1CBjJT52CXFlZ0ENU+iA3uatWq2c4BM654yiFy fowUHHQ/eBigoNDUxK7keg8HG/AaYPqyXbqRERdvL9OEn08QjKaLNCGuEwMWl9amjTVBTwBsF5yn GQ3k0/Q0PvDUizR1szCxzS8L5W/T5VS1Wqb9TMEKgAlM1mnqjtd0DQ7wwkB68nn6uAiwJgt8Swbw oLx+fYLaVWnhFXSv+PXiem85oedd+lLKEhfWDoH1QisAYmLhfPTmNVaHVsBrnIKzmy6wdRlWqV4v 05z2QP+AymYfs0Zs3YCKd2EE3YqYDOIeF1DRXNN1eXkxLZbbiQrnNRetsDq4IIJX+3hQVtmAzyx0 AOqwMmgIN+J5Mei4eeF6X4aI1BdTOAikTfAGAFdrwQDShsDTU2/WRF6H9zzrhhnnTU7KGLjfCH+U CZYoDx3i2oILjXge4EXGSuD7Jk0EKzPCOk/yjsKUMBY4ZahFCFJtkaDzEnTaZbxJ9nq5I81M4GSi UDEFoNuFSjIlN6zuMikNhvCn5pvOFDoUYVi2YiWh+wXZF/YqKdp5X+x2PjZ4NeXoxYmkofMN8T5N r8FKJwYEnf0KyGahtVkzcC0qcHwi8BM4mZ8fH+6fH4/RdUfgzfpzV0/iILMaijTVKTrFi4toRcM6 1vDLHVOxrundroXxxmvhdgUc49jwBTVeX2bhFZ/FRroBdGnP0MDMSFA/WfqCnr/dLDBXDOUImLm4 uNeSnCpJo3vSoWgqJiNhIigjAUTA6dGCLAtMqIt6AMkjfrXEWzjALqmAiKNcRLGDvvDyIhUstm6H LAoMXp/9Sc/c/yb85qCWIMgyXBtOUwjJugQF6CZoDIqFJJwVi66XyawCmfcIDa+qg6XmFUpL5WEX 3vC27CoadGPYZBnRtgDSlhrDTapt4iCCheEgATAqIny3Y0XXfKqL8C4dr3p2V5cXkWld95qZxxDE VzAqgor4G50dbsANTUVHsDdwqydLBGZTgwuFh5vE9y+W7CI48ZC1IBMHqNcPIgyGs4JHP2CrozAS o+jmRxJ2070+O0snHd10b35eJJ3HrSJ2Z4Gxu7l6HUilsyZrhfe6QcSTXbPAXFBF9LrLWzHJ8YFK 3a9t0t1q1nvN0RqBbCs8Dq/j06CYjWDF4urWGeP3GDaNV9c6+LZVGMf2vZCKlzX08iY+ciCEVWvR QBR6HYQzqJBeV+e8/2W1PlazzXU6IYmK3AZHoOdUtBjOJC/2XZWbIKI/6vwTDnokpu70+xPXD3qw dI9/HI4rsBy3Hw+fDw/Plg+hDV89fsEcw8DZnwVJ3P1uILYuOjIrCO4BB/3huCDUraqMACadE+MQ pACRyV3w0vT5cwGpYqyJK2NJH40YDaqwV2OWltwQqLAjG2ZTW1LSK6I+ZiFk5J9v8QIqP+FmQy1M EPSrk+ynH7/vIWgZ3zj5khifQimtNuHIdu8ceuis32YRVY87k0NE96TsjcKS7Rl8fJSWQDPOfnng YU+1BmUuN+00tiXAoJg+eQ2bNGEw0pb0UWo3CwuVdBCfHUZu69plK5OK3vFqqOomSsYRejmK2eEN dKHn8Cuso9i2k1umFM9ZGB6MOYFiTGRxhTXIdN4ZMWCA99PS1pjweNjCLfQtJ2UFqWejMCR5d2RX Tob63hZZ104xECCtJ6Q+IQc8hQG8pslxxlNMnJQvKOcJQ1KWCqQqfdXhJumAfSLm3K8B6sS2KRXJ p0Ob0hLClTw1bowUxUim/A23nBI8VlD6S/PmsvfJYrY6SwcFXduFyyHXYauNRMBl1nJx37NSzZJI rTg2jC+V9/fCcW9ISJvMxhQpDyY6HtcG3McFpcnxHh82nS8Enfzqwt/J42Uhnhic/PEGrUgPmDQR /PcpcaviePjPy+Hh7uvq6e72U+QW+qMSBxzs4SnlFlN5VedSWFLkeTLhQMbTlUYQvoZPX0ZGQSLE P2iEW6Nhg9M5OfMGGGmyOTDJEYc1ZZ0zGM1ColGqBdD6LNrtP5iCBa2t4SmTFa30UqZIVOfvrMd0 HVJ0P/vFnv7+ZBcnOQjnh6lwrt4f7/8b3cSPPkkzizjYM4JPO5oWO1w4Rd4sxKI+pcC/2Yw3Lmot d91CiDqukw65xnXSoWt/VeIOD6s1YMYtN/vFyuW1hWNCLt/gAFhjOWAQF3RUvE5j+rgqp8uXRmMt LdIqyE71wmUvnhqaX/Happenw9EuEFiXqk2rT09fw3FarMDGY6Fm8vf0++3x8D7wG8IE2YTaHISW v/90iJVojxeiE4Bl9gRUJM+TQCyqJVjdLrIwbLJ5wUDtaIKAlj0q2DIdeftL/8lOM3t58gWr7wAi rA7Pdz9+71agN3CAG0qJ0ZO0/bNkIdzPE1VyrtLRTkcmdQAlsQh7jEsch7jMdxxEiFyWAUaQo2tG nY4LaopOeJIkqyZ92wbee/oup2bm55/P0rdAJZNJcA3aoJ7pI0yXy5L7urBhbjPvH26PX1fs88un 24mP3Hv8fbzU85rVjwEVwDNM25AudGS7KO6Pn/+A47TKB/U9Omd5CsYVXIkdUdbPj2JQueBxdBMK XJ5ggoul4cM+QegaQxN42YsBqqL300NGxa6jRTnnFdzmy7Jiw9BmGgMYr75jfz4fHp7uf/t0GGfN MZfrw+3d4fuVfvny5fH4PC4xjmZLwnwuLGE6BLBYojCBX8B6kMijc5PZ+HVKrEHYeKdI0/hnGAEd Y0WVtI/9ENCrZPwGK1LS6BYTMGQcKwlp71quNi43AByp9bSvxdeGMDTM/FISE0k5S+8BxlCNe0W2 ATfb8HIWNI16U5S/cR5Q8lz8ky2L9qdPT/ECbg4fj7erD761QymhzVio4MmzAxIdqc02iNRsuTIt vib1IaUxVLlN369v8REgapkTVPdID1+v4TPY2YVX9MoUc9Lunw93GJz74f3hC8wBTcUswuYCqvFF kgunxmXeV3RXgqMidXl6KcRqV8XTR0a+BF256fXnZpplhCFdML4ZqyL3CS8pKAxzr/FKoVh4+yob M+U3S2OygxwDVG1tw7eYz07R7Z8H5+2jWMPrLosfZ24wVyjFnMMyYiJdIttsNl1XusQpMZ+QDaD+ rkhlhxdt7VIdmVIYGLF3k1Gk01aLUq7HN52W41rKzYSIhhj1EC9b2Sbez2nYOQt+3MPDRFAEkKPB YHOfyD+vgFrEhZAXiA42dJHtCUbu3mK7VM9ut+aG9a+MQl6YQKe7fF8TtIj2NZZrMal3/ibjBu/U ulnUQgsMW/aPqae7o1ipO/DFXM5bL1c9hInq6dCziTcOn4YvNnRh17BkvesymLp7uzGhCX4N0j2S tR3gpJJ9NQJi2KoarDFsUpSEPs3PTkgO5g+jB2Hfs7gkP9sixSTRv0/OVv2i9fc9sx2O1MMJapj2 HsuRk3v3uqvPQJmy6hVCL0Z4szrdANfO5Tws0HLZLuRu4psd9w7XP9NPTKW/netzV4PbjoXyoCUu YAW7PSHOMjC9PeizNCOyfeMZ9LrQdtIIVkzWs+W0E+cGkF6/uTbZbqY15683p4IsUVDCvJ1IZ9V4 FY0qHXNi400b1x5pyKPTILDTbYUj7S+1GcUM9ZEOpBbvFdAe4HsUxVJBX0vx94ipYUaJ2lObdA3a Jqk641ZvY3GTzd7rPRM+JgF/Hi/9YL0BFecBAbMXNC/7i6HzGYFMTMXlBapB3JqAufdA5qRRXRsw CsZ/D0HtrkOxWSRNm7uFTzZPkYbmCpP12zqCLr7MvhBawi+WQwP7e/7GXxTHOn7ABWCoIkM/9IN6 MHwXsphZ0T+iAYBH1b4xHraWVG5/+O326fB+9W/3HuXL8fHDfR8GHh0fqNav4akObDUPwSbXu6d6 GjxzAIH4wQPAo5Revfr4r3/FXwbBj7q4OiEmiAr7WdHVl08vH+8fnuJZ+Jod5sDV+GkUUCNNOowW 1MaD5lR00oeIupu+HPkLrOxnoUDI8L1YqKzsoyqNT4jGTJVeO4Qy0AunjZVZvyx99Y512hrpU13T Nx2IIWcPPNIpoa65VnT42MvCMy9fcyHU05PxrIN/d7IzfF2wA6ShNX5mY3i42nFhb2+TTdsaDhFo nL3IZJWuAudc+HobfNK2uIjavUSfXvtmVXTViE9MNdV4kfoOk7ljCj4+zXR01x4UVzxLjnF8tmpY qZbCv74WvmVIh1jt++w+VcOig/QVFlbbZSnnx3WBKSOFns4BF1A2ZB7Ob26Pz/co9Cvz9cshOphD FsSQbpBafZ1LHSRMRKGHsHiMZU56DIcv3mEcMN4Vmw7hviAjx3fzgT8Ljbh0qUQ5WMH4w08BcbPP 4js5T8iKd0kNEvc36FVdvw4ClLV7eNSAQsKjCoo/+vRLT7fm2dFP0ZJtdyBUbKlxSIxbT9InXPhP ieArOla1uaHDJstddF2sdhoM0wLR9rZAG8yj/exQbqvZVJexyjJl2ljt0k1n5SNs8A9Ru4wV+A86 FfEncsZEIRcf/PNw9/J8i3Em/FLayua4PgcClvG6EAbBXSDeVRFHS2yX6LUMl4UIBvuPUwQS7Xhp qnhjZsWgQGnMcsh785GxhcHamYjD58fj15UY7wlmwZ+T+Zg+0VOQuiVx/GXI8nS0VGjYNY65dfal gWsXftdqYOcCO1MczoRV3H3rma9f4AeAyjZiWAEQbYxtZfPaLyKoOoG0ic89ZQDUwpAExvM6I7ss jHQI0Ybe8Rji06kkXi8IFr67LwXl6uri7H8u02d0+RlTTFkwlXMHKH3PC66hyzRNkgvw4AwGuhZy CdMXLzfNJLlwpGRt2t7d6PkzbA/y+oCSDef6cFqkuXP/GBljVZvJh37C1Hb7FgO/1ZNGk20DaqKm azF5MTfVKo1hzikkEXxePnCeQx0mYuAHN2CsKgoz6k3m3gb6UJI9yvXh+Y/H47/xbn12hkGc/5+y J1tuHNf1V1LzcGum6kwdW44d+1bNg0xRFjvaIspL+kWVSefMpE6WqcR9lr+/BCnJJAVIfR96MQFS XEEAxHLrhigxJU0kQsw0fJ8LS0KCX4r+OLbgusyvfdlaKWrpEtuBF+CX4gJ3hVfUhpS4vIdBIWo7 76LI/bYBR0xGvKYDjjnFY42gpu32Ax9olJGxCWfZRGnCY7jhwFRpb4apnVlc3gI0NFtgYPlw/3nt wvuKMVt0WjceMgYjrBMEpvj7bWHbKitImZf+7yZK2LBQGyIPSquwck6a3rKlwKmBAe7g4uPZHnNY NBhNvc9zx/BfjdwMwQ8R1UO8yczs2ejnC5/UUmQyaw5zd3Cm0HLTUpyC+nxxK1zBzXT5UOPGEgCN i/0Y7DJgfNvB5mpC3GJDw5TsRANFCRcasWcvE+1WIghDzUpQ6O/6jWxX7IFbgdHoHsz2W9eSsIcc lYR1LAiLkh4rUf+bwJDTKPfbFL+ZepQD34WElNmh5IdxOFjHD98sfax0oq8HThj19Bj3nNgePYZI FfdfiInxRGxy4lhE0Px+9beYEUzH2gwWvwNU3iA9cNf8bz89fv/9+fEne1dl0VI6NiDlYeVSg8Oq pbigp8NDa2kkE5EJLoAmQhUwcDhW6izaYhWUqBPonyFdCI9Bvi7HwxqeT7dPmShxqzQNFcQu1kCP JtkgKerBFKmyZoU6z2twHilhQ3PY9X3JB7UNJRkZB02JPUS9VDRc8t2qSY9T39Noik9DA17y2nsS UiUQxRleS4C1c1mwsi4h4LSUIr73KL+uVCb3Wqet7u2sxINIKtT+Acau30YawRQmbRDtjyfg7ZTs dn76GATaHjQ04BYvIBi0cKOQeCAIXmiBIYhWnmuG2SnV4RDNNfxqDcYAVFMRP2AzYDWHTLMNNZ4N zkzZYL102FXuYMU2s+JARMXItlX3tasgGg/PHYLw2q+tGUaWuJvjXbpXXAymj1ON5Lazn/k9GAiU mSG4ZX6HoCwL5d2e+w4DCkiyQ5cOn3oWU+/Ek1YifF49vr/+/vz29O3q9R0UXZ/YLjzBl9XyvrpV zw8ffzydqRp1WO14rWcYO4UDRNisrygCzOIrtgaXyjmEqsO4IhQ5NgdjtMWKkzaOGLq1MvggWrwf mgp1C2ZysFKvD+fHP0cWqIZw3FFUaXKOd8IgYWRgiGWkr1GUi2V3Z9k6Rt4cfl4SZk8KdJADsinK //0BqhkDe1GF+sK49g6ILLSEDBCcd1dnSNGp0/0oSgTxJDy4Sy9BfHr1ynR37MKKgz1O183LyBVI lIgkqMr9535T2u/VL44trQGaY4PhY5vVIGRhvkt92Qt6HB5xFfnIwrQr96/V2Nrha4RzSM4akSjt GmHRB5ypXw0uQV1oTciKWpCVmSo4AlDH91BtEYZLthpdsxW1AKvxFRibYPRsrMjrcluJiFAbbksz HurURowQNeCwsxqHVUTcX8VZEsbaNW5LmQbEF4YjagHGEAhkYxn64n9EmJcf0jBv1rNgfoeCI84o a840ZbjDRFiHKRGrK1jiTYUl/hBZJgX1+VVaHEsi3JHgnMOYlihVgyurDUqgT+vd96fvT89vf/y9 fRnzTBJa/IZt8Snq4EmNj6GHx0RsrA4B4s+MImj5ZLwTFfES28EHVvsD+Hj7Nb/DBZoeYYsLr5dZ pBWXAFc38nj74eQ07aYmIZK+bnyAov7l+LHsG6lwutEv1t1kR+XtdhKHJcUtTr06jLuJJWO+L/oA I777ASQWTvRjohtJMr6wpRhvvhUbx9tICQfjftGGrvvmqL88fH4+/+P5cSi1KrF6oEtVRWAzI+jz DBg1E3nESUccjaMVCQRv1qLEx1HwfoFT4f4L8kBrujsEgvPoeqBI7SjCMAb/cLpKevm7bxA3cYei uRM8PLRWMWu4qxbhPVOvJAM7IZUFZIRqy0LJt/eEusdCGluIFgXCqk3h1PyEX3gWjigJGU7PU+hG 7NeqebD5BeGHHgWggJ3kKEImqjHiCigyzEpCndyheN0fwHPCZ7sfCSR8G++EGFlUjXC7nWyEyT19 BejZKInnkA7hQMVj7BDGTkXbTcp9tZ/MeHyyjRLSfxQcDpaei5p1D7o0N6Ukg7hwlOYMC/od5WDF KgvI2ebYcykmONRGWWgvipLnB3kUNeEUfDBiFrkYWqtFvgWPLmNOBK9N5Mj1r3vq6RgdjHQBAiso HsawciYx7Xhlh4GrYp3WxwkK6KZPaTNyaC0xxW1YOEaLjKnYAVpBehl537j5BbZ3zvschOL/Iqjd ApS+TRHoGgZcnZ8+zwjzXd7WO06fo6gqyiYrcuHFNOnFyUHzHsA2SLiIUlkVRjoeZGtT+PjPp/NV 9fDt+R3sic/vj+8vjmlhSAk3jKABW8I3UcnFp4qSFePmlmF2OfAwX+0dmf4oKp46inYW70Aqmju3 Q6qLtK8kmE7hQ2grwm7lKXhN6rSTiiXD9LM9Nlikqk7o9BM62Ngu2g57o23jOrN5QNEucQhe99Dm be8LmIoP1KOwKgqx2Ec9whEnclnIuonzSoxdPkMAFQP7KFk7XhU2tDel+hGs3356fX77PH88vTR/ nq0EmD1qxtHY3z085ZFry90B0OR4SOuyM02iLJPcFnUYgbEOKZ4MJi/RKat0kPvZpa2jUKUY6Ytv hU14zO9ucG6hyMv9gBHaEDZgoSDSGfEyaSgz6TzGT2k5wQNRVzb2YthdnOA4CwZul2HuICoxT13p BMzpigMa5ME45LS0uaNr0dO/nh9tZ3kHWbh6JO7FKLBxHRtn/0ebHdINl8DhFBpTxMut2vrnQh1A Qb4GxaHLPbRFSLxaB6XhrMKeWnV1WWaDJmUXqm6kEpaupIehoXAINKBLP4SMxyiyx1lm3O9OExE3 iqlAqCA1cHvEvwOpP91VpnKBAky76kuvW2Ox/piJ7Ul8G4xi4XJr41b57YoC56r0vqpwMygNC3HW R3/S89C8bFVqB2szXVwrYqOJLT77No4OjDKFxCDcxhSSTNydYNgbVfHx/e388f4CCfwuoY8Mh/Pw 7QkCJCusJwsNEmp2ISYuz2VTuC3Z+Xz+4+0IYQjg0/qNTVqNOTv3qBM3aGctcuHUBeWHZmg7NPqp 3oEDH38/N/zt21/vz29+5yCKgfY/Rr/sVOyb+vz38/nxT3y23d1/bAWJmuN5ncZbu2xdFtqp50qW MRH6v7U7V8OEzXepaoY8t33/9fHh49vV7x/P3/6wn2zvIZL8pZr+2RSBX1IJViR+YS38Ep5zEFn5 ANOEznYOerS6CTbolhDrYLYJ0IMMwwJP4N5Kv69UhaWIXAHpEozi+bG9JK8KK0xTW3NvHCMTnpbo 1avY5jorY2tyuxIluOxt73aTHiR1HJXLyjTfB6rRGc1/8wPevLyro/dxWZf4OIydclIMXN+Ok0m9 xzYe68OhIJi4F50fZ6TtV9cH41YHfmOOL0g/L8A7RpXAeZgWzA+Va+BqynVwWFNXSRLgWo0OQKOF 2qmmRdahJ5DP9cmcII3Svi6IZN4APuxTyF60FamohS2GKZHG8fYwvxsROGkRQuO8HUFi1tjlbgAY 85wZ7hsPLkNs0T6C1jfN5jmhxezi/sgXiv10veF1EtFh+rldTjlP1ri6qoiR+fUj2JogAr501hZh p9k2DNdW4a3ooaWVC+my5PULshtvt3VmdNQYrX9jvlfSxJZ40uyQ0KyCLKqKDGsSLjYpIzVbolwE J/yNoEPe4/H0O3BaFOVgHLpUO+gYj/H1sFntnl0A3ujXo2pLO3fq6ZmAyxMearCDVyHO/ujJA+UP iw5ElFa4aOD8ciJdb/+JiS5W0l0Co5U6ZBxjSvpxAxwV8RSg8UXDTuVkN2oc3J4/H53z2Q0uWgbL k+LbC5zrUZQzuwd2G78AtxlEdMH5pSTMayKBYi3iTBNmvFUmN4tAXhMR5BSRSgsJOcsgLKdghAlt oqhfiushwzKSm/UsCCk/A5kGm9lsMQIM8Fh5EMuyqGRTK6QlEfS/w9km85ubcRTd0c0MP7hJxlaL Jf4aFMn5ao2DSnjBTPa4rkFSx8RmQ+mIZyfIQnlqZBT7zGTXzKEMc4HDWODTX+NkytXlkDlCQLcR NESdzwB/2mzhw+BfPkYWnlbrG1yv2qJsFuyEP1+2CCKqm/UmKbnEV6tF43w+m12jh9YbqDUx25v5 bHBc2jBt/3n4vBKgs/v+qpOttlE+zx8Pb5/QztXL89vT1Td1/J//gv+6Mdz+37WHezQVcgF8Bn7S wPBJZ0opCQt1k5mPCErdQxuCCF4Q6tMURhIRdlYHw+8eMleuNVZ4b+enl6tMbdn/ufp4enk4q9m5 bEUPBZidqIuUZ3LZMxEjxQd1Gzqll76o+1SJQyP9SN4/z15zFyAD2QnpAon//lefpkKe1ehsj8yf WSGzXyytXd/3aBAOcGyerEPAEpwig/u22iwMQl8R2gWNUtXy9AMYe4mTtyTchnnYhAI9gM4d6agd hWs2LqLhSYTgGG1la4N0ZwUiZ2RF5MqBItIhx/H8irbWS1d303hCiWaa457/1D1oP21yjvysDu4/ /3Z1fvjr6W9XLPpVkZdfLOf8jnNyQ18nlSmlA2UoYDVkBWUF/lmREx+ra2uHfoFhTwl6ZEwLzp4w oCFpsdtRTwMaQUdH1WIXvkR1R9o+veWREB0flmPwzZgN18nFEPrvCSQJuQ2mUVKxlYS7ncGpSqyZ dg/7YxxM31GnmqWbjxK6XW979/KVrZhps1SDd62JoeiCWnHo8k0o/FoWaMxcDSyzPuousxR9/34+ /6nw336VcXz19nBWBOnquYtxai2t/mhivxTooqzYQlCnVOvFtbn+zOsUVOpzueLzBWhCsTPzVYBf +qYhrQuC5mgcKdIAsyLVsDjuj7ga66M/CY/fP8/vr1cRBBiwJsBSYKn9GxHhB/TX7+TgUdvp3Inq 2jYzVMl0TpXgPdRoVqIiWFWhPevdD0VHnIswK4br2jWMcD81+0dRPSFx5qCb+zEgcRQ18IAbrGng Ph1Z74MYWY6DUAy2HF4x5eQEW8oM2HgpZtdhQG6CPlNW1YSQbsC1WrJReLle3eDnQCOwLFpdj8Hl ckmIVT18MQXHmfgLHOfhDfyeDtalEXgc4qdEQ5OyXqxGmgf42PQA/BTgRhwXBFwm1XBRr4P5FHyk A190msaRDmRhpa4O/LBohJzXbBxB5F9CwoDRIMj1zfV8SW3bIo18wmHKy1pQFE4jKBoYzIKx6Qcq qZqnEcBQR96PbI8qImReTSrYPEAz/bXQZDAmnVqxArfakW8q2rVaj5wJinxp4FieUINQiTglTIvL MTKmgUeRb4t86MlbiuLX97eX//qkbEC/NMGY+ey+syPR3WA20ciswHYZ2Qn6qWpknb9CUsTBsDrl +D8eXl5+f3j859Xfr16e/nh4/C/68tbxQsTFeklA7VYhM/fasV07jtwuyyL9tGACDDsWOlED4dAI yqagIKfgc9kCiWzfLXC06vWSyEAeXaK3UAjaHoIIGTgI0uTNTJR1ocmHsxY5qvQIsc2wgXuwqhIl Ya2sELT+mwLKPCxlQqles0ZH/lUMzEFAiCNK7oGvkFGpFFBHuhvF4BW+36FleCVEpjLKtJl24T0i aXfAPuUS1SisPd7mV14VXovjO0EvUBriGwGAe0JXGUE0JcI2GxZWv0ZR0DgNKVNnBVV0m4pmCYtO Wxi386cXDCfcUTYRLrN3HieU6/FeeukljEqIc341X2yur36Onz+ejurPL5jONRYVB5NPvO0W2OSF 9HrXqYnGPmMZ76kxFpC7Vj+c2mHkQgaJhbNCbbFtbZ1eE20BHgMsZCEchC5Lw4VOqOuJPFTw8IFr cu90tooRNxLCYE+MeMXVnFC8qxGT9v2iJEGHEwWBq4V4st4RrqCqD5IT4UPU/2RhR2tXZa7Ztjau ViVdJpbUfXiuiYRXqrw56FXTmTwIQ8cD9SiXpxmViLDynU3NBgfjzIvi2zNOip4/zx/Pv38HvaY0 1jChFQnZueM7k6AfrNKbTUBKzNyPemd0as2CFZ7loLanWbDlDf74cUFY48Yrh6KqCd6uvi+TAk3c bfUojMKy5m4mTFOkk0fHHpFAGthx9zjyer6YU7HQukppyPR15jDMMhWskEQUj0vVmhdetlVOPUa1 Dxe1nBpEFn51G+V52C/lVF1HCFc/1/P5nHxmLmHbUsKTWe08Y9SxhwRbpx1qf2J3SdG2vLYNt2yg E2vFKofRFo7eNKxTyms7xflFAOBHHCDUIk3tlr1iUBxrLlPS5Nv1GhXHrMrbqggj79htr/HTtmUZ 0FVUZ56fAkf97W257syJXZFbKQXM7yY5ejlHoTlC2agzMPtvqHbFif2oBsy8ADnbHDPFtupABS9N p7otMHtap9JB7DN0LykmNZXCYQHboqbGN04PxlUfPRhfuAv4gJkO2T0TkhXuQUcX0q4CSXtyZ/+x U6NYcYKvnKQYEfdOYL1PhWfZFsxnhJZNI+Nf5tcnXHPWCvHN+hoX5KJsM5/hR119bRmsCO2BoVcn UbECszqyx+xHkorSADeSkvs8IgzWrfYU+5hyR2mw5cHkzPOvLHHCSl1A8f6LqOUeuZ3j7PBlvp6g USYJn2P1hia1taokzpIn5XyKlCX78MhdA3IxuXvFOlieTuiQ9aO6ZfCpOuD+8n9y/7cibO7rntjh zLEqPxCBCk9UFf+ecyFUc9czopICUHUIETfO5jN8j4odfpV9ySbWvFW+OoT2kEWEp6W8RUO3yNt7 5y6C36Tvif1x9eUwL5xTk6Wn64ZwmFSwJS2CKqg8joJjzBnE7o9glRus9Vau19c4HQLQcq6axRXT t/KrqjqwKsA/WrRUoK+tpuXmejFxxHVNyTOBHqbsvnKOJvyez4hgQjEP03zic3lYtx+7SEOmCJeU 5HqxDiYoCEQqqbz0jDIgdt/hhO4+t7mqyIvMi8ZHxKHra7ljEoqhhSD3uZIkMpP+ZoqMrxebGUKo wxNVM7j1XW/aKqUvRCLdPYjIZqV1WpqI1wm6DYpb7zNJQ5Ex1QQa/d1qrY1rzvOdyF0j9iTUuWPR hu85mM3HYkL0K3kuIVcXOo67tNi5muu7NFycCOvju9Tnh221yInnDQW+Q7Oq2B3Zg0FR5vDvdwxs 8LxYqD20yibXtIpcZ47V7Hri5FQcZEmHg1nPFxuG7XUA1EXh46qipiTOWgcHb5amPgpJRRrrENdz wpsFEHQms+pkstIiHazW89UGXfZKHT4ZShwGcRMqFCTDTLFtjn2QhEval4KRmtzOAWkDijSsYvXH IS6SUMqpckiezKbUHVIoUu+aBm2C2WI+Vcs1JxJyQ2TZVqD5ZmIryUwyhBTJjG3mbIPffrwUbE59 U7W3mRNvwhp4PXUvyIKpW4GfcK2VrPXV50xBnWkl7uTy7nOXapXlfcZDwlRDbSEikBaDOBM5cfMJ zHfc7sR9XpTy3nUCOrLmlO7IeMpd3Zon+9oh6aZkopZbA7wtFa8EcZUlYbVVexqfYZsH4Yig6mdT QfJw/O4WYL+VqmWtsXdGq9mj+Jq7yTRMSXNcUhuuR1hMSSzGktxuvLUtD0+CJuAtTpqquZ5cICN8 IucJAEGJaRPjKHLWJ+Ixca/J2xgXtRX/SPjY6pguW/9tuWMKFaffmBcO+1FXdGl2LtyjLmPwMimo aTI4ot6GVJAFQFDnH4JLCEw+VxsyFVuHEeYR2AvsduDolgxzbauGrqC8tSFE3sTDCB47E/zRBdSX JKxVWtIIp/X6ZrPa0gj1erY4kWA1nTeKgRmDr2/G4K0mkURggoUR3f9Wj0TCo1Dti5HmoxI4/GAU XrP1fD7ewvV6HL66IeGxzqRMQQUr072kwdqE/3QM70mUVAp4PpjN54zGOdUkrJWuJ+FKLqNxtFA6 Ctbi4w9g1PRK9LIkiZHr/Fwh3ZP8pL7wJVQXP71l77BPdEyg4WgB6vDChgMkmwQucHT8wHHQwJrP Z4T9ITzVKOopGP3x1qaShLc3x06RqaCCv3G1ZYl3QHqK1bZ4L7dt7KjuGbuvASAW1jh9BuBteKQe ggBcQk6WPW4jAPCqTtdzwgHtAicUtwoOeo01cbcBXP3JiZC5AE4kLq0ATJQJzv0dDYdt/bq8NWae CKVK1sEc476derXzTKh+jljzKOgSV9ppCOl2oqAbst7mFtL0EJxplW7mhAegqrq6xRm+sFouA/yx 4yjSVUCYXKkWKaXkkeWL1QnTKrmTmbk6N11AfOtmxZazgSMO0ir+yoYPT5WPOPNtK5ZJiuUBYIyz hHZvBo88oagIH1IBgZEwJtFur1OUX+6y8hhQ3DHAAgp2TK83K/yNRsEWm2sSdhQxJnT43ayUhOtI XAV47eE8LK8ywj6pXF63KVFwcCVkhsbLtruD6LoVt8mrmvCL6YDaXg7iTuA3J0wEYfGQHdM1lsbQ 6RWPROiRoUxt9NkcT2oGsP/MxmCE/htgwRiMbnO2oOvNl5hS1h5hFfpvbVUdnFB5xKk21HDp64Uw TDawG4yxqFMdD0YOmtoExEtLCyX8O1ooEW8QoDf/R9mVPMdtM/t/RfUdXiWHvAw5CzkHH7hgZuAh SJrAbLqwFEuJVZ9tpWS5KvnvXze4k2hQ7+Bl0D9iXxqNXtxlYKUSItiqET6zlmuhwuFlKRfbax5k pMJVhCJefH9usOTgBgs/y61R6ab/kRz6MbwQuuz9T4aCjEviuGvz+z2SCEYDSBQPcknG70eGOtzf 4mDCdd3HUHtzVZDkOIXp8amfrb5usnT4sP9JpXi+TPzJjYULRXAjgmrWANjM10T9OneQF8nNm1zD chYYpEzXmmCHC1WOD4bK3P67DpF8eUbXiL9MfZf+evf2Auinu7cvDcpwl79Q5Qp8aTGf7vU7ekmc LJWGJ9VurXZp8ErYHYQyNorJzgPOA36W+cgJS20y/ffPN9K+t3EC2f85chdZpe12GJF46C+1oqCG ZOUZZpBcxXs+jqP4apoIVMGvx1H4Jl3d04+n168P3x87i8DB8NTfoxYt5Rm4gnzMbuYgZhWZnUfO bJrkEY/d60LKFWT15ZHdwqxyJNbm2aQBz5+v177ZzcsItDVUuYOoY2gu4ZNyFsSlaYAhmPYexnU2 M5i4dhddbHwz69Yik+OR8CzTQlQUbFaO2ZiiD/JXzkz/JcJfEreLAWY5g4GNwVuuzS9NHYjYCjtA XsCWbMek7KIIdrPFoGtvPDBmiqtfo2ZAKrsEF8LioEOd0vlRE26pslN0oGwJWuRVjTKbLuSeWBh/ lrl0DUllkPT9enfp4S02JeNjLvyb5yaivKVBjmIXK7GUYhgKvoXUFpfGcvmOhVl2NNF0xCXtiWbA ird0luD5TJhY9CrI8HLGCRF5V5oeIKOf8Q60yyLkgfuBIXoFibGMXpMkKzjxnlUBgjxPmC7eAgoj sd4SOuAVIroFudm8p6Jjd5EOXCrIWQLPGdgy6UbbnlOHM4sG2mMHY88OrhRNWhmkAcxKYxkdZmle eh0gNgtzWkCUhYRRVAvZ7whFxA5REAqXA0RJRJHoQCeeJEwQdmItTN/iqdgaLUrymF0wZIyZT2px ShD2rF15WqHFjrkERcEJ5wItSAR7rWA2U3G0KMsKs87fEBUGhLJXB1M83c92wYXH8MMOuj+w9HCa mSqBBJ7efI61GOS1TnNT4ZoTMZRbRH4tZsZtJ3mwoRefjto32FqrFH23gM6NiBr0UTxXzLw2eqi9 iohw3h3mEKQX6pWyBzuG8GMOZJOZ17BqT4ZZG2XCJKWqewj3ZBkVjPXk1b1ENNnMWVF76OzK6CGC 2PM9M3c0gKGItRRErJ4+Mjy5zoIw/5/gCA2gPg5farKUlTxK/fXCzKEO8DelZE5rdU6xq/eBYzwx CCFsH3cIRC4PlGliH8kYYf49AO2DBEMG0If0AH2NlgtCdNvH1Xfc+cbAJs2Ix64ejCccRpPQ9u/h 5EbevI15/+nj9qf0/h39d1Q713G9eSC1pw9B82Or12N58ReEYGSKpbiQPhKuKI7jvyNLuKas3zO6 QkjHMbNiAxhLdoHEePbvwNL832AipOxKKAgOcjt6jvnNb7B7sVT7i54fuhiDcq+vC/PFsw/V/y/Q B+/7oBc+P3Nyfo24+QgfTIhYae2M90wJ/SybiTyTnAjFNqkpV5TXlQFURnovmR8jQLoTF5Ekbn4R Sp4w6sTuw5TjEsaFQ5jYERGwBrCrv1m/ow253KwXhFuWPvCeqY1LiCX6uCI7iPqImwfzT3JtfPWs b9V8qG1ZpcLB7RD2VRUgFAH18F5Lx5bXBdRRUUKLunQpyjOHOwjlmqsWG0YyP9oAQgT+ylofuB2m xDtuBUCl4iID1kGlhL/cKh+VwK42C+Laabpi5rnWigGBj09rpA14VR8J3/y1VPXCChFY87gx/exl QUTCWdhKOel/rKO08ylD7WZaXZOldV5xISEfM+vQVDMgmZA6j5jBaMeorxLDJck2b+Li7G42a1S8 xev6LNKzIgvBp+yelgofHl4ftQN//nt2N/bLiBtmx2Eb/LiPEPpnyf3Fyh0nwt9jj+8VIVK+G3mE 0kQFySOUgRk2ioqc8LASto0+mwQeH1BrC/NRxuOSpStGkWTH2RQRmceJPnH2gWBTU+Hac4FpTDpH r4aHkOpt4cvD68NnjKTe+Rlvdl1168bj3HspiSrvESjSS2WiFddkH9kATGkwi4FH7iiHixHdJZch 1/4+OvIp5detX+ZqqOJdKZnoZGLQ4Y5YBfdI49FrhbZ1UKQVdnSLkiAm5NAiuwaVykhCDJtGYFxp RRn+3dKI3M0aIiFkaMhwMTfS0+w+I2zIuCR0mstDnBDmPeWe8ByvA1AA30K0QgdKUEbt9CTWfoRP GHAg6MmzY3YWbOjXiZ2Po4AHlRPLp9fnh6+9J83hoLOgSG5Rlg53FyD47nphTISS8gJNvlms/Y4N JngfV0WZGKzuhrTDOWFST+mDJnN/UImB8+B+qQPPqD0CuwYFVR+j2lMfkBblCeaoxGDIBnIBlwsu WI1ZmYtXLI1ZbK6cCFIMDloooi91lBOMWkANCXpBo+mFJHorvoy03odEcptuM1aub7QH74OSXBLN EryNx5O+fP8N0yATPWG1zxqDv6b6c+zpZHSlGSJq30jTxN7EGuf6kVjANVlGUUpo7LYIZ8OlR9lQ VCCYKiEr4oDwAFSj6uP0owr22Nh3QOdgaIE5mxUha63JRU4f7kDeyQRGe64MjeIpemKcQhv3zMNt a5IHOrYLCdEnzwVHOWucmAM6XoCRSeOhhmabiKODTIY5eEwHG3kM6AhB30thl7xnWcxMhPPAOc25 CAb1wiczHhFRR2SW3vKpxkvt7/GzgX2ZHo0Ef4taaxhaekXx3x2AcKQBd1KX4v/zJsiucezJ+vfY hgsd8NH3lpt/yj1lX5rCgUoSgcOlo2gd8uErAv7G6yihUxqk++jA8NUFZ5SZMYjgT04wDSyJMFyj oSIw+ces/5UnyW2yIJrggpaebGZ9ccJQqTmhh9cHhVmmqkhmk5mHEqmpLlE/ZBe6CMUUYB0Ktud9 xgNTtXIAbA3ZMFlHhBy0V6fCoUhq+wBdnIyyEKBUYdo0XzUsaPSyj0lBss/CLvIrNrG9TmDIi1Hw jDy6g0wg/QuGtbCHK6yy5w7l5bmlb4jIPQ2d8KKs6SL2CKekNRl9dNnopchNV0WkwsXUGY8Kl4R4 tyIKQqwARPR9S4gUgJrqx1lCyIJ07ZwAljYhUcDR5XK93tJ9DfQN4ZC7Jm8J9z9IpnwH17TRk4+e B9phLjExZCQM0Vtwgf374+3p290fGIiu+vTul28w2b7+e/f07Y+nx8enx7vfa9RvwFV9/vL896/j 3OHGxvepDhNjDQkwxhImIwhje3dBDy4T7EwPXkbrMumZEQXz1ZRcTEJ+9siVQdSkR9k/sC9+B1YD ML9XK/fh8eHvN3rFxjxDBZMTIX3X9a1C7wGXQ70PIKrIwkztTvf3ZSaJONoIU0EmS7jv0QAOl4eR 9omudPb2BZrRNaw3ZQa8QPSPu1iUIy9nnYCE2vFG3a+IEFyamFDndTXBMPwgHT6theBePAOhzsD+ 0dT7bkmwu4RJs8wJecFBGn1658PQzbmcmmtVp0Yu7z5/fa5CVhkC+sKHwK6hS5gjzU30UFpuMAca c0FtTf5Cz98Pby+v09NN5VDPl8//nR7zQCqdte+Xmmtpjsta+7oyr75DBd6UKfQBr10AYFukCkSO Tmt7atgPj4/PqJwNy1KX9uN/B70xKAmvNWY2clLXXhY8jVRhfiPAbqFC11/MJ2UViTw4E3rwmkp5 IGmjmOfJwPq0n06HU++DJq4VczTBRgTBYEplISN3hbbvqH+8IJ7aw0DBzROqJ12PMI4ZQN6Ri/mM aCAyJK4rdWUpevN9+Mn1KM89DQZf0T3qVjMCmWvb1AZA/paIuthgktz3CM2DBgKVXgGPZ2+4CJcr czZNlffBac/KREXudmWyM51MH53QbM4HPlXKT6soRaYjpYn3CJzzaX8qzDzZBGXuqhYWeytCG2EA MSuEdxDhLAgV7CHGzCgOMWbOeogxv7QNMMvZ+mxd6p7dYhQZJGKImSsLMBtKzNPDzIX61JiZPpTL uVxk5G1mRuvoo5tYO8RZzGJ2gXDWB8uO2AUxzRMmBSUoayoekl6KWkjOiDgLLURdc3vjY7mZCd2K oVNnejBGVxBSUMLPCsTXR7gOEmFWmz70HH+xNvOyfYzv7oiQdy1ovfTWRKiqBgM3TWHvv52Sip1U QEUfaHD7ZO34pPC3xbiLOYy3WRCBsDqEfW0d+GHjELfQbijWM3MLmenZGc+Vbz4yGsDHiDjhGgAs lsJxZyagDsdCuH9sMfpYsu8WGrOdKUtFcFbaZztiXGe2rJXr2huvMfN1XrmE5dQQY68z8hubBWEv PwA59uNGYzb2IxIxW/vMwAjDc7uKxixnq7PZzEwyjZmJPa0x83VeOt7MBBJRvpxjD1RE6YK1QyoI kV0H8GYBMzNLePbmAsA+zIkgePYeYK6ShKlfDzBXybkFLQg/gD3AXCW3a3c5N16AWc1sGxpjb2/1 +mBvEWJWBMvfYFIVlRiEQHA6kmUDjRSsZ3sXIMabmU+AgTucva8RsyVUOVtMrp2LzXTBzl9vibu0 oN71mq/lQc0sUEAs/5lDRDN5WITFLd8kmOMt7UPJROSsiEtgD+M685jNhTL0bystZLTyxPtAMwur goXLmV0VmLD1ZmY6awwRqrLFKCW9mZMbWNTNzBkYxJHj+rE/ewuUnu/OYKDH/ZmZxtPAJVQp+5CZ 9QCQpTt76BD6li3gIKKZU1KJnApuMIDYZ6KG2LsOIKuZqYqQmSaj684oP83ysYDb+Bs7331Wjjtz 8z0r3525iF/8pect7VcXxPiO/V6CmO17MO47MPbR0hD7mgFI4vlrQg1+iNpQsco7FOwGB/sVsAKx Icr6ItauSXw/fscVXR0XzlAYUiP0qRoMXDHVSRjlSXE5VvkdgZhgxZ6lqE2Jtch2uypcXynkh8UY 3IjURskYDg/N89C/aN94vaHHTMeCLPcZhq1nOSqsM1ON+8BdwItKT8zYM6ZPUJ22pOMamj6pJd1J kkWkIn/zHV0rA9DaTgSgb9dy7ODVgOsaReX0/2kDBlfRWryTmcq/vz19xdeK128D/co2i8rLpy4s SoLhFlZDrv6mzI8oihd5OzO/jbOQWVTGSjYA85oB6HK1uM5UCCGmfNpHE2tek7ZFB2tm5i5qPRAF KjrE2cBVepNGPwa2iDS7BLfsZHpSaTGVEpjWWMEwZrDkerpZLQp9aeinKMgN1vC0KHmTOznp9svD 2+cvjy9/3eWvT2/P355efr7d7V+gid9fujB7LWjiJqbbs7KdassytzkOFFp9GYm1o09rBvecF2hg YAXVka/soPhip+M9fHmdqU4QfTphVE2qSUF8rhxe0IiEC1SbsQI8Z+GQABZGZbT0VyRAizJ9upIy R6/gJWXyLSH/HVd55Nr7gp2KzNpUHnpQDE0VgTRvYZdgB9sc+eFmuVgwGdIAtsFxpKjQbgvR9xx3 Z6WTxENu77Aq8Dj5ub5dO0uSnp7JIdssLA2G8QSmhS4X6J67ounAx9KzVTsKhkvS0nEsNQDQ0gs9 S9+pTwKPFIqM/DRFa/g2G8D3PCt9a6NjkJZ7W/eVLL/CkrSPfsq36NicHF0eeQvHH9NrzTz+2x8P P54eu005enh9HIYxj3gezezFaqQEVfknk+Fs5oAxZ970Abp0yKTk4Ug53ehYJoxEYIQjYVI/8fPr 2/OfP79/RrUKi896sYvLSK4pjUQk46MdcZPKBY8qh2XEkwB+rx38LIgbsQbE27XniItZs1NX4Zq7 C9oAGiECFVSJoPdYyzjAiUR+juS1ay1BQ+huQjLx1NOSzTe3mkwZ3WpyktJZi8jB8ERk5Q8KNdQk j+jiK/7u0ykojlq3ilSYTvKo5ITCJ9IoZdCuELQO0de69+Ao/UOEfQzS+zISGRVCDjFHYLQT85Ua yb6fC594Wevo9Jhr+obwX1HNyquzWhOC+xrgeRviSt8CfMKfdA3wt4QZfUsndBtaOiHz6+hm8Y+m qw0lMtRklu5cJyRezxFx5jkrtCI4CSmYIlwGAzGPdmtYWnQPFXG0dIkgQZqu1gvb59FarQmBO9Il iyyxABHAV97mOoMRpM9UpB5vPswjegtAXsHMF4fX9WIxU/ZNRoQpP5IVLwOxXK6v6LEhIHxqITDJ l1vLREXNJ8L5ZV1MIiyjHCSC8J6NThicBaEwZfXQoMvVAN8srO4AxLNVU3Nom+V00Vn4hC55C9g6 9gMIQLBZERJLdUlWi6VlpAGAsd7sUwF9GXtLOyYRy7VluVQ8Kb3ar77lEA0Kfp+lgbUbLsJfWfZs IC8dO6+AkPViDrLdjuTvtZTDylp1uRRsj6IkQt5U2PYM9NOulTxHRtiacdu/Pvz95fnzj6lGbrAf GODCT7wWm7cFpBFOpDRNmJx11pTNqmffA0mTGAGYWJlnkAVIbl7Lmob6wjSZsrtAGtvteMSMofAq rmKvesb7530AMy6cJOCZh4Yl8oOz6d2mgCgvcBHGYPGZoYS46IUEhx/oIImX8dBfOabH0I2nq9We ScO0JiahpdUBJEt2qNtrrlF5FLK2fxpWDtN3oZG0C9HcshWFmojoplpLVD84i8WwVmgrVsIUjkuM ZIBmJHQD8jIamnC0Vi9P3z+/PD693r283n15+vo3/A/tWgZ3F8yhsgvzFoQHpwYieeJszM9pDUQH FQI2fOubt+kJbsyu9wwPqMpX4ttCDCw0G0lsL3lYagFXG+J8RjKsyJERVCMlvvsl+Pn4/HIXveSv L5Dvj5fXX+HH9z+f//r5+oDb16AC7/pgWHaanc4sMAUh1N0Fd5rx3Mc09OF7MO5wY6C2AUNvhCH7 8J//TMhRkKtTwUpWFNloDlf0TGgHvSQAHw9yRVGqZxC0GpQnmbM0/uCuFxPkgQWFClmgKv+l5yBB 2BQHNYHbiGolz44BI3OOToM+nWA9f1hPySrLrd9rA4sEtsAyPhXV4nWG/X+m4kxqImwKNFFc9jt6 bexFQCkpIvkUm60v9AyWZumO3kP3wZ6KKYP0iBfFSZafGME7IubTlS47zKKD6f0PaTn6lWosW+Ln H39/ffj3Ln/4/vR1sg9pKKxUmYcw126w7/ccdRn3iVF+/XLDgsd7NpyUVQEtZVAl3vjIvwtfnx// eprUrvI4zK/wn+s0KtaoQtPchpkxlQZnTh9be+G4pyUhENITKcyuwB0w87VdHyGTIEmTnsgKtGnS U7zE14WjbHpl9/rw7enuj59//gn7bjz25ANHXiTQdX2vfyEtzRTf3fpJ/Y2rOcj0sWaoFmYKf3Y8 SQoWqUHOSIiy/AafBxMCR8/BYcKHn8CFzJwXEox5IaGfV1fzEPdQxvdpCfsXN0ZabUrM+m/TkBiz HcxlFpd9D1WQLrKY1XzD8APFE10BVfkomo7Gl8as0CCJxB7Ra9k4K4CaC/P9Fz+8wapzKdcFAKDc XCAJeAPoF+JRCIdIKpIIPCERtACIcDRKM6uKX45oHYXt+GgEU8qGA/m3PVmEPWYAjroTO2RgcyyX 5uGBWvAzSeMeYb2CNJ+wWgFawvzFmlBjxZkXqCIjq2vhk3Cc1c0hFMAqKtlLRLQXoARnSs8dqcQV BzuWZbBYOTknjzfCXzDQljFxCOOkyrI4y8i5clb+hnAriasXzhZGr4OgMHuz0iuTzDQCtpaK1Axk 7SWF7EAhoxPdWIqjwCkWwjF0VSuKIcG+4IU6EY6RcaYx9BiZCbJyIoS+pJeO5CIn/P3olk3c2NaH sPHw0ttk+PD5v1+f//rydvc/d0kUT0P5tAUAtYySQMo63rJhmwmD6KiN1QfAbjPv6HuWsoIP/Ih2 RG0ZZWxkh8mFv1055SUhTJ86pAzgQmzeUnpFxrnvExrXIxRhatahErGk7BV6oPPaXXiJWSOxg4Xx xiGk8L1qFdE1Ss384Mz4tlabseDN2Qo3sx8vX+E0rTm36lSdCoZQchFNPAsCiwW8k9ZGATY1SxKs 5xwdJvY9+7BZDcQiJhwyB1wqtDuvNHHK8NZolpkYu5MQt2klB8nwb3ISqfzgL8z0IrtIuHu1Z2kR CBaedqgWMcnZQGzcquUFsFLFwDjbhC4yNdEUs37Q8lMqOLJpnK//Y+zamtvGkfVfUeVppipzxpIs WT6n5gEiKRERbyZIXfLC0jhKVjW25ZKd2s3++tMNkBQAoim/JBb6A4g7Go2+NM57+ge19RSYLo04 n/gbLa/KLfBnCfF4d8F0GJcuxIvKYjS6lR+p69aRPbZP2WmZ6K7urB/KJZKZlHmxmRBufN0bJiaJ 4KGzNWH6F2OmNimNO1czohdSUyFQmuVob10TVwXDvEk0ykJ3/vigDMdamjv9CGLFlWijSiMfNklu tTxPvWohzMQ1voEJKevwFsL+6IXKk4LwjYl1I9wGyCJiuGbbbfRjVoklzNNOv5eoG5Y7hgNXXDe5 7qxmhVtf6YaPVv0uCD1vzIPfIalwnU3pvHC2x5yIj4P0uMiY+/6qmqM8Dg6nE0q9HsvISkvj3WgZ txvL/OFsRhgOyAaJMWXiqcikZzZF55NbypgC6YKHlIsTJBecU44OW7K89xHmsAgqZxRj35Apu9Ga TBnBInlDWDEg7WsxHlOmHUCfo/d8kuqxmyEhPJbkmFM6CHJj2e6WtnxHzy1uR4QTjJo8pSxFklov h+4TpbbDSkr/QWKK7YKuvc/yiPUMylJau5DkiO16s6viCSOWpniarIqn6XDMESYgSCTurUgLvDCl bDoSVD/xOeF26ELu6XMF8L9cLYEe+aYIGgHH2fBmRU+tmt5TQCKGpDOGlt7zATG8H9OLDsmU1TGQ FzEVtkSevH7PwYBEehcCVmFIhQhp6T2TSr4SzrZ0vzQAugqrNF8ORz11iNKInpzRdno7vaXcF+DM ZgFGMyCMgOTU35IOWYGcxCPCP6A6ubYhYWoD1JxnBScu7JIeB0QIjpp6T39ZUgkVF3UsE/oTksjF 3Q1lCY/0NOHems97+rVP/KGYCjYj7fou9CunpBQ7pILePdZb0g0BUHfxwqWNGvp/yIc7zd23XCnM 4mh91n2sNwjNFQgumYZwysI2rHqnkDxQCT2rlzVhRqj4UA0sQ83Zqut5tAP0oMe9Joj7B5A98RdN oOBLDL3hFhKZUEopwUTh5f0DsB45uAVMk2BLya4tKLMN5HqAPYtYA0o9lQ914/iG8p9QA2spU8+U qz2foVVLc8e4uVxM2wVgZ7O8grepMcaGSwrH+lBv1vbXcXZFqdeKP+wToUpC+9ZTirm9RGRowV6G DRElG/YcjhIhtiP6ciRjQDHOHq6UMRyN6KmNkOmCikbXIEK+oKwJJevt+eSrTFNElhImrxd62I8o YCjJeBUNaM3gVuf0XK8kAJ50y21txZmMhUEflr4cTI8wfpXnDjWnt7Op4XsNdoYqyoLu9FAbPPe7 Yr2QG4E74OfFb16RB8myCB0fB1jONnrGMnQ+amJ5F+mvCi7xenhEN+2YoRNhAvHsto4hbNSKeV5J h4FTiNzpvFnSUMjcKRITidhpkk7FyZTEEpcz8bl5EK140unYAFUvFu6RlgC+nGN8xAVRLGqN5Zrg RKVx+LWzvwV7lmA9bfPSckmEPkJyzDzYq9zbA9KzPPU5BqiiP0Dv7JIMvVdw2IjFHPZ1l9G1RLWx sY3MMPmWaZJz4d41EBKgZhrd02RQRkUMKO/5iuxS3JOUr9AldmWXQTznhF66pC8I/8RIDFOSH5F5 i+lsTI8i1KZ/yax2dA+WHqp7ENYgQN8Aq0TIz5C85sFGcszUrrDLG8VAIx9Hk1IiDy86a/gLoyJU I7XY8CR06iuo7kkEhx2uW4nIo90FSDrxDqVoSbqmZgh2qWt3a9Ir4spvYOBH5rIMbwGLhSXV53kZ z6MgY/6IWhWIWt7f3rh3H6RuwiCIhFW42ixgnsjI5j37SYRvoT303SJigjhrgC9XS97c+uB+kaf4 ZmQlp6hC112IGEOM96+HpHB5ZFaUnC/tEoFfcEYkkjsksNSwXUdprj1jaImOfnSFHDXIBYt2ybaT DQ4AfOwj92rY67DzqbB0aj/nMXPfS1X/QwHEnV3SU89jhGkukOEkojtKsFiUejwymWgdafi7bz+X XjHJkF8SUQSM3meBCnMb2JTA9RojEWWSRWXnKMop3964xaHeHhM9p6AMYvYl3WHJ9CbGye0ENmAR BB0OrghhW6MbW4QYk0M95dDbP3J4VUYorkjEaPE1IHRM1AHRd4puOCfDWiJ9y2ExkFT8cG+nfd35 wA/27DjK60sVEg7oJYsXZW6/8C4WtrHodbPZ6p7jm5M80xNqRPPwWH/JLvASTsT4SlttGaiE+85a d7K1F1/9A1p10tCD+wQviiioFf/M6tYPlGYijLnlEhpTo0AKx9wCE3mTjDJu++HXyDLqZchEFXpm n5kfNwK5yXxJAjuqF1RJsKlfgVsdz/j49nh4etq/HE4/32RPn15RPf3NHLbGk02tjGC3jH7KNWBp QbcdaNUmhC0y4oQSc92FQvYhuu5Gs3C32rsSD7Ta5srR0F8jnazG5zJhMeiMdwk643A3Igd2ere9 ucEBIL66xemixsfIKNP9+dJjLqalRVjvnZd0RwwPDRMQX5XpOTpxgSVeFVRXSVhR4PwQcL2yFmRA VEymL4Rb8qHXqj8CiRz8LQZqDjO7Yw0QF9lwON32YhYwjaCkngFKL13lSHW1M+1rhr56iUEQ0Ww4 7K11PmPT6eT+rheENZCRB2KLCWnncO0px3vavznDlchV4VHVlxoRppZGKb2c0MNWxF2TowTOs/8d yHYXaY5and8Or7DHvg1OLwPhCT74++f7YB6tZCQ64Q+e978anz/7p7fT4O/D4OVw+Hb49n8DjGqh lxQenl4H30/nwfPpfBgcX76fzF2qxnUGQCV3lTqcqD7xt1EaK9iCuQ9OHbcABojiAXQcFz5lnqHD 4G+CydRRwvdzwruiDSOMSHXYlzLORJhe/yyLWOm7OT0dliYBfQXRgSuWx9eLqwUkFQyIHYnHgQ4S 6MT5dESopCi5cddpFS4w/rz/cXz54QoLKI8U36N8IEgy3tR6ZhbPaEtWefb4CcGIytLlHuET6vny kN4QfitqIhU5ei5jWGDA8N6t+c7UJW07TcYjJXYjpSHkzGYyJkT+IOaEp5CaSoSZkDuhXxal+7an qrYWAb1bRMEyLUjxiET07OXNjPV2dx7hy0TBpJM4utt9WuAgT8PC57SUT3YCSn99GD7gj+iu4MBH zdeEfYRsK91UjOftAc85z0kTbtmUdMPynPcgbMtci9UQQaGOxwXfoiljz1xFDeKFO0QvAnaQm54X wVfZs1t62iGrBf+PJsMtvRuFAthl+GM8IXzG6qDbKeE6WvY9BiOF4QOGuLeLvJClYhXsnKst+9ev t+Mj3Oai/S93ALckzRQ76gWEyVqzEYztNzftGkd8xyxkyfwl8VhU7DIiUp3ko2QseGlZ7sTElPOU IEbvpS7hDF6Z8NJxYRflFUQq+xvyxTa16sjwTNA8x/mX4PLHgPQY7dQUpMpeR+GqYxRkCYyI1CiJ 0qmE+xC60N2Tt6FTYQUkPfPYfX8B6LzEPV1r+mRCuC++0N1roqUTm35Nn1EeYOpBCtZpFTPuvrhc Gkn4QWkBU8JPiRplf0T5hJf02kGpuKV4PnXT9Rj6XOkBRN7kfkgo07TjPXG7dJf0tLBqYE0/yW// /XR8+ee34e9yDefL+aCW/f98QeN8hyRo8NtFBPd7ZwLPcc9yH2uSHkdbj/I21QBy4nCWdLQ5p6no 62427+kz5UGnluI4+6Y4H3/8MB5tdclEd2doRBZ0DEIDBgwyyW8bQDi63fykgWoN669DWxOb61Aq 5rEBYl7B15ywCTSbUouYHD1+fH3HYIhvg3fV7Zeplxzevx+fMOboo3SuMPgNR+d9f/5xeO/Ou3YU gCcRnNJRMxvJYsobnoHLmPXK54bBxYdyVGIVh+oHbr7N7F9SCYZ5XoA+DnlEdT+HfxM+Z4lLVhL4 zIMbVYpiPeHlpSZklKSO3BNTLYyyPldegPUlIYmUiUVNRI2nKjZ9Uas6od8cZ3sa8h2h3yjpARnG sCZPRj1kPhvN7ibuB98GcH9HnBwKMKb0eGoydSAocjAe9gK2hCqxyj2h/D0p8h15/2wbTxgMSno+ G017y5/0N31CxX2ra2fZddTEvICJxrXpiQkYOmQ6G866lA7nhomhV6Ri55K7IxUoRRp6Zjl1YmNV 9en8/njzySyVmuFIS9bAdDYCaEgYHBtnEdqZgkBgFBbtCrLT0cbJkWwZbunpVcmDyjbhMmudrzsX ifbFBWvqYEubfGw+n3wNCCnFBRSkX92yqQtkOyOcQTYQX8BFw80Z6RAi9IcGmd652bQGgo6574mJ 2WByMfHGV8rhIoKl616dJoZQW25AW4C4ZXYNQkYJInhoA0M5UjVA44+APoIhXD+2HX07LIi4Wg1k /jAeufmdBiHgdnNPRBJsMIt4TMUJbAcU5h+h5KtBJoRJkl4K4TC0gQTx+IaIAdSWsgZI/7zJ17MZ IUdoO8aH5TLrLGqM120uan3TGKGONyoWtJbSiMdg1B/YDHwxHhEXRW1ajIYfaf69KZ1Ubqmf9u9w OXmm64/ZvTjtbPf1yh8R3hU1yITwF6JDJv0dj1vMbIJBUjmhS6gh74ir9wUyuiVkQe1AF6vhXcH6 J0x8OyuutB4hhDNrHTLp38ljEU9HVxo1f7il7srtJMgmHnGpbyA4TboX2dPLH3hPuTJVFwX8ZS34 Vl1YHF7e4A7snGU+este1w/qbbGXVCJqPQC6DpXQhDhIloZDJUyrHWxIUVESRMKkogNo/dv4eJUz 6PelTzydKNEDBzLBR2N0EirzA1yKUbkCvhwvY/cF6oJxMD/+Bsv2GnuCS5+pdGeBTR7KgBToAVXh moZ5nRqVosSyW0dgUIr3dDy8vBvzhIld4lXFluwWH81bHDwTpM/LRVenQpa34Ja7+o1Md4s365KI jwOpdV/pVtexaqK1rdz2PgAQ10uclY09uqNfkcxTdFpd6k2sk6mBbHLFDs39+Ph4Pr2dvr8Pwl+v h/Mf68GPn4e3d0MBqHEsewV6+eAyD3Zk1MSCwWJ0MfAy+lCtDFA51j/zMH4Iz4MIbuDE5TzIQ989 nKhxX0UsoxSLfc+fEw6c63DUc5720tMZ9U4pAfm8IJxkKqpb7LMov/ACVlNPzRuIjOFFhJ+BUzKt 8sWKR+4ryjLzK2VNAkcqodmWSeGHOz9GSekbmVjwviZkLGFSo7sPhFZRsGH3IKQqZw8dX1sz5vdB ULi6QgwZAqANjO0zW4fPOApgkUbpxjHPgyDImoYa8xtn6JX5nfFqQ6iFosJmwfLexqUi5HNWzYu+ udCgQqp9shpenLn3VNV6abOwpoSBCrOmVkR9lvZ2bxb3uKhGB1t5QViPKaXg3nkiv5CyVZFTDxpN KQ/EfUY+AVfLmHgLV1/IiYfF+hkDNXghJQm8Phh2BCfGQpQ5GsChRGNczcuiILRW65LKhBdkWXG0 7Vc5w3uNVISH4mAmJgVnhBKu+pwUg4psVGUu5SlsFiL0FSKjweSpqIjXSi/M0zhoa0lsRbDdsiR1 N6YpKFqhVCdK01Wp+fwJ0bwTaGhvmTHdclM9aiDt4vzq+fn0AmzP6fEf5Tbt36fzPzr7c8mD0pD7 WyJ2tQYTfDImokJbKMLXioki3hM1kOd7wR3hfkSHCTSjrDxrNbUeo5w9oR0eG/QrHKXmU7HqKplJ nH6ejfhAl2ESuZSgTsbaWESrYF3YqfJnhR8xkPPIb5GXGru+qs0g2BTmqcsekEOflJoQX3nEP7wc zsfHgSQOsv2Pg3x3GYgui3UNqi0h+SV5D1r0bZOqJLtb88Pz6f3wej49Ou9vAarPoxTUOZ6OzKrQ 1+e3H87yMrg31Vyou0Qjp36el4m/sYx8lcAE6vab+PX2fngepDC3/nV8/X3whi+m36H7LmrGytX4 89PpBySLk3ldbRyLO8gqHxR4+EZm61KVI8Tzaf/t8fRM5XPSlZLnNvtzcT4c3h73MOYPpzN/oAq5 BlUPfP8Tb6kCOjRJfPi5f4KqkXV30vXxgutc1/3D9vh0fPlPp8yG7VcBI9de6ZwbrsytscSHZoHG Zsp7xSIP3KbnwRaPW+LQiNOceO8jrnJJ4dZTWsMJRV2Osk3c6T2eP0j3/K4rWYemVStDl3PUh/IA NbvgR4EeEc3HcyUGDHew6/z9JjtXH67a5LpCgKvkuRdXK4yRgspaJArSq2zLqtEsiaVC1nUUluec IWZVtdwy1C1zs3ixqdOq2nw4o+Rz/wK7PpxYx/fT2dXpfbBWTsqMq2sRwkaGPvKirjCDvXw7n47f DMFI4ucpYWrTwLX7o9NvQPMUpv9sX7yUFG4zeD/vH1H11mHuIwqCy5PHShE6K+coUrunZoSuoyB9 TUU8pmawVKvv4449tHcknFha0W+VJ/Aj7KRqEuniQ495YVBt0KxSvf0bghcWcR+43Goh4A6bW/ox TbsFnsLMuOvBVjOqiIMbaGOLdqHcGp4ZZUIpAnSiLsu0SFitVKBjfS/qkkTglTkvdlbFbskn1i9z f6SD8TcJhg/Ec9l7xkNBwDFyhaAa/4UmbWkS8EBkd86Lns8lPOrJuhjROYHiXnhUnyNLaCls1GnV HNnSKs1cY47iTMm2ct2QNYYtAjV/dzZdr1+QePkuo33ACvTbaamxtDQ74oBvJ3CVILXCjA8zRXCU +lCmhebzSf5E5R2pbCsX9MKKky7NZ2rghuWJJTm8CMclgpqKilrkgVH2wyIuqrXLR6aijKyaeoU2 nmgHtxDmalRplTnIC7k83XMInexGbFc5onl7+8d/mbYQCyEXk/uKpdAK7v8Bt+A//bUvt7TOjsZF ej+d3hg1/5JGPNC0jr4CyGxG6S86rWg+7v6gktSn4s8FK/5MCndlgGZUJBaQw0hZ2xD83Wi1oTpT hrZJt+M7F52nGMQKWJ2/Ph3fTrPZ5P6P4Sd9ql6gZbFwP+4lhWMTaM4Rd/MUN/F2+PntNPjuanbH xa5MWJneoGTaOrafdLTkWkqOzmhd9o8SidET9YkrE7HP0FaTF2neKdsLeeTngcu1hcqM9stoNCsK VpRaI1ZBnhh+g039miLOOj9dW6UibFmhBz4KyyXsE3O9gDpJNkabQYGSEgXM9Oih/usMZbMVL/ia 5Tgkzxqj1x3B9itcqJcmVFgKYmOppDkqn9MnB/N7aAuaFsjdnKKGdEYgoUE7eUD21HXeUx2a5OUs JkjioWQiJIjrniM+5glMFGojjXtan9G0h2R720ud0tS876MZ2sURjsd2Yk1lK3u6O0+pyQsnKIYk tOZjQ1yY+yn+1o82+Xts/zZXpEy71ec4pogNcbdS8Mp1skqr6cQ8WhCOh2St1+onzjbWINxj0A9k Yhfh0rZd5lL4DUxOqlkmI7Nk/1TN074F7e8q4yKhdULQDGeZ5Jln/66W5kWhTqVtZb0gC8nlxClC 6jN6J6Fmi67rAD9af4Wffr5/n33SKc3xWsHxanS3TrsbuzWNTNCdW7htgGaE8agFcuu0WKAPfe4D FadUcy2QW9xugT5ScULjzwK5BfcW6CNdMHXL9i2QWxnJAN2PP1BSJyalu6QP9NP97QfqNCPUVBEE DC6ygxXB8+nFDCmjZhvl2vAQw4THubnmms8P7WXVEOg+aBD0RGkQ11tPT5EGQY9qg6AXUYOgh6rt huuNGV5vzZBuzirls8ptItSS3QoYSEYtKTjuCcWIBuEFUUEIMi8QuOSWhGOjFpSnrODXPrbLeRRd +dySBVchcCl26/42CLhgRJYxSxeTlNwthTO671qjijJfcaenNkTgDc24kibc63gOa+JU6cI89WJ0 ePx5Pr7/6mqNoa9JvVz83QQ5rRx37obFu0QQghw5T5YEC10X6ebqlIgm8GkIECo/xGh5yqshwVfX srzKjwMh5ftFzj2XaxpN6mfn3cC/MhZSmKYrk3+pIU6Oos1fM6KujC2TuqV8UrbIjDkdw0YiruKY ZXgTgDuUn/81nUzGU+NtXkasTgJfCqUwEmUl3SIz65rbgbnlY8D7oYBLpGVOORHGEEueLAb9x6ig k309JAIZvMjR9zWlmgOHnDG4QPVgfC5wmPoQwTqI0qwHwdaerL7owcDU91awEuDaX6Csuwz+unEM mIC1Szg2byBFGqc7wq10g2EZtDsmfBW0KHS4nnEipkkD2jFCo/RSZ7bAJzD7kaX7NbgcpJsEZ59j XFFmubRF6G0iOmhPmO02oYNCY0PD9xcnKh+sXXVoBFiOOdbm7GB85nKeCo386xPqPnw7/fvl86/9 8/7z02n/7fX48vlt//0AyOO3z2hS9QN30s9vh6fjy8//fH573j/+8/n99Hz6dfq8f33dn59P509q 210dzi+HJxlZ9fCC70KX7Vfpnx4A+2twfDm+H/dPx/82Yb/bXuIFTlNvVSVpYgh0lp5XZVG5hN0A 9rrSK6KArWgbZTd8vssDt75oDx43let50OQXsjiBsllp8v+VXVlv3DgSft9fYezTLrAzcNtO4jzk QVe3FOsyJbnbfhEcp+E0Mj5gtzHJv19WUZR4VKk9D4OMWV9TvFmsU51OjI+uB4aQRyxW2+jSw6nJ /GyMKnX3mhxtZeCeqkbrppffz/unozuIGDVmkTcMcxAsu7eysotZxSd+eRLEZKEPDfOLKKtTMwOY S/F/lAZNShb6UGEqW6YyEugnFdNNZ1sScK2/qGsCDZavfrFkqOTDw69jKLc0dQPJ3R3kD/X1gv6K jVf9ark4OS+63COUXU4XUi2p8V9GeogI/IeS6uhR6dpUsk9E3aTPQP327a/d3R8/t7+P7nDx3kOy wN/emhVNQFQZ06FHBmoSHaKL2E6nrDT/b/sf28f97u52v/1+lDxiu+SmO/p7t/9xFLy+Pt3tkBTf 7m+9hkZmgkI9N1FBND5KJRMbnBzXVX69OGW8HMfttsoaJxGxjWiSy+zK+3IivyAPqit9QIRoQvfw 9N30xdHtCalZi5Yh/9GoFdRPXK8Mt020Bc5AzgUdrWggV8vZX9eyF3P0zXzbJFe/Foz8VE8FhEVt O5pb1l1sGjtukLLsuH39wY19YcYT0GegKvS6cKCLV45nkdL47e63r3v/uyI6PSGnHQnKrGT+OIgY wZAJkNOSc27YuleblIskNNXULo7jjIpWrjfacJd4q+IdW6yIz2bO4PgDUW2Rye0FPgXMa16fXUXM 5RA3EIxEc0JwCbgmxOkJFTNAHxBpsPCWWJ6FQJBVe6Sx2P2QJHxg8pRNCFpypOlM5m9NBpOAkMm1 pC+TlVh8nm3EunZaqTik3fMP21h5Gogg8a/VwHZ2mkodi0oKUWaH909QdmFGvd7NdonojGqELJ6r Osyr9TI7sKcCsLtn4pWPmKad3TkAoLICG12IiaGNyaFdHuRALtLgJqAfiHoBBXnDpZh0Lt/ZahIm 6cNIFzXnSmND+qZJTvoPjBPyuCtmp7NlQlJq8ro6NNkDxG2H9ot4ftm+vqpnnsdnJcuc8xrRs3xD yxEG8jnjFj3+erbvkpzOHrE3TeuHlRO3j9+fHo7Kt4dv2xdlxK/fsf42bLI+qgXpAakHQYQr7eNJ UJjbWtEOXG0IkszU/Me9737NIHBSAtbC9TXzroBE0ge/PwKb4QX0LrBgrL5cHLwV+Z5B2yA6U+Xz P2tqPJOrvg5i1y2Fgq0SLoOFAUqzZdl/+sxEMTKAQSuPSsm8zq7DCQjX5/HZ7JYFcOR65/iQSzCH Ss8/f/h1+NuAjU65oE8u8CMT/Yn5+BUtkqE+/06obMBhJMgEN46H64AKmuuiSECkjvJ4CJhp2P1N xLoL8wHTdKEN23w4/txHCQiVswiMhpXFsGV/dRE152D0eAV0qIW1KgboJ3lKNA1oH+mqPqnYrU54 0knKma1ACF4nyogUjEGxZRkRLC7avuzBq0K+R18xeOHr7v7xdv/2sj26+7G9+7l7vDf98MEIpW8h F4hSbQjLetWnN1/+bdjlDfRk04rAHDFOVluVcSCu3e/RaFV1mGNEvqalwdqy8R2d1n0KsxLagAar S/0KznffXm5ffh+9PL3td4+2PSf4Z9CO8GEm+VKIAGAsHu12IVnWMqqv+6WoCm16S0DypGSoZQK2 jplpBKJJywxSH2dCjkpoS6SjSsQZJTFWKqkg9yuro2w0e3dITvGYgGMZQBx+8CCt88wWbEXy/JJ3 kFW0cN4MUe+/2ixy1nY9pRHDl6NTl3xK6sgP3C/APSFKwutz4qeKwrEaCAnEmud0ABEyKlVJZQxA Ip5Rj5hwp1moHuDczyhBECosjNyLI14EZVwV80N3A1y6vIVzZZ9plg7Mn2GadVOh1/+QqM8ohUiG fvkZWb65gWL37yHDpV2GLkO1j82Cj2deYSAKqqxNuyL0CI08of16w+irOX5DKTNyU9/61U1mbCCD EErCCUnJb4qAJGxuGHzFlJ/5O9rUsg4kNOe/CnJtdj/elU0VZSo/YyBEYKacDNBRxvRaUkVghNdb RwaUx2Z/SvmC6hsVuyfH1KKW+gsi+kj+kPMPaFa56oJxvoDqc1LgGYS664XVmPjSPP7yykqrC3/P bYcyt+2co/wGAnlY6kBxCXIlii0p6swKxVhhQrWVvNfMXJ5d1JzArWDdwagv1/N3FTeVP6urpIXI utUyNqfJ/E1/aiy2ZQXvz9Fmcmw/lJOeLYA//3Xu1HD+a2FszAb8+CrT8WKwPI8u1kFu+HI38rh0 nKxUl8nRH69474a2tZaascHS55fd4/4nBmr7/rB9vfdNSfD2v8B4xBYvpooh7ymtf6nKpkI3nlUO ivtRo/SJRVx24LAxJnrWfKBXw9nUCrAs0E3B1E3kma+TThGmqsOQscMwvu93f23/2O8eBi7pFaF3 qvzFGDRDPS2/hU8zYnCSEpVRRQfWOLArjfUigiJBv6Avi+OTM3vma3nWgMcjEwZCyLciVhyQmn3V JNtQOU0g13ujwluQ+7Gq5dRnN4mE5FnpeGSpKiW7CiwTeBAUgRNSf+JoLQj2sK/K/Nrtel152YWG hlcikiMDKuuaCio9hWZ432SN6wzycQITLS6nthiFo35azdqX418LCqUylJj3CzRa2Xa7peBqofnp Qb0db7+93d+rnWnw05CGZtNC5lVGk64qBCCe9iQGq6nWJSOaQLIcdohWxDwxpq/0nHGBgogKsh3x +SUUqgq/Jpyiq8m7UMMYkxhAoJ0PsdBSla4ex17eu2Cu4C8lTWE3iTLP6BonR5QikiYrI8c/YFQo PuLHisB+WXnlo4GE/+Nh3QPjwIXtAliarVJZz/zoYBfBW2+ZV2t3gTLEKMIuXgRNUBrM8kBVxfjT L4t/ufYb0wJ3apM/iqorCLUOjg0RcbykEBPAU8pBfUf5093Pt2e1w9Pbx3vrDIZktyDr6mpZUytX HGOIBbZz78EpYp9CkKQ2YOLpry/l2SZPuNjVwYx+2nS7zf0IUcPkYVnR7rMWfbRhs4jI43StZdoG +fp4dhGptiQRy7Q9nVOP2iCQMRHvr5nFCE25SJLaOVqULAEU6uPCOPrP6/PuEZTsr/87enjbb39t 5f9s93d//vnnf438CeBYjHWvkBXyubNayKWrHYjpNyLUAV2bO8rg4d4mm2Ruq1FRfhzI4UrWawWS J1u1dk1F3Vatm4S5/hUAu8bfBQqkw/XncmIO1AVjjNJtOmikOaBy38DDgj/9p47O8q//YFWMaxXW Ix4h5kJAJkOORd+VoI+S61Y952e6fKHuJvZ8lv9dQdSLhrgY2ISkw+l9gN7M3b3ogJ4lTM5UhYmE 7CPEKMt952sRdTSPIQlwryz5WQMEN7UGBC4mZCLH0+dkYdK92YHC5JKIfDsFUbIa7W2by4EnFHyK kWHScHlKRgpk4owESrY+rVowdcSDIdGRZEi0no0+EaIS8tz8qvhb6knYlYr1daDWc1J5dlO1TDtM tqmMrp34fvo5DOqiaQ8Qbn5VrSbA9D8GZmBs3jx1JYI6pTH6dbXUE8wT+3XWpvCab9zvKHKBAU4k ILLywCMEnL5xcQESHwluJdHwQ1XLRFR1R3acNHxGh91yafYHozsi3pIrwEqAxaMShnmj4OG1OIEB +rOz9PaGMy003y6SpJCvM/n4wIYzQWXEpeSDlnMVqSt9BpCu5eqbAwzzN8wR3RD1874pAy9FqH7N QwbAFK5vVN641tG6HLJUww6Nhx8wd+sIl4tmFqh4Gb93ulVDBtqs6p0VfiE/ESbD4BuyKbpYbwW3 3EF7Y9oG8uit+eMZYiAjlJ46UAjpbFP8vOCG6kN5wqRFIJjMCdOW+QfIg+03ljGKcHikGpAEJLDg NAOzS7HHkvvL4gSzMS9OP5+hqHR4T+n2yfNB3lH4JWiqG3w6v4iZUFGofEQlW+MkFLchLFWtGXz1 oBMJ19dwOsslrzRzOYcgjJ6hoxS5yisIbMmiLMn2zFQlAu5Jlq7Yyo9nDH9nDlCabNwQH84IKkmn 8j9iVu6AayLG3UmpiiWiZaJxIUDpN3m6ksLO0iUvwGShQ0TXMU45SN2g0oCn63c4jxBgB4JubjMD zpmxIDVjkjGr9c6k4EPiVcE/NlTngTdhPdLUCNZzww967RQkxVxCNFTyylk4cCoNSV9FIZ8FMwOl osvM9IcXNA8LEh3oWOdHtSiLamZFFEkRyQt3dnegqp1Rp+pKWICk8ScPSt4wazkoyUXHh9tqgqLO E1YMhzKxi1VsqX7g7zn5WReiFAmOR5A6B7klREMqxQDjr4I8W5XyMDeOekMuh+ECswYfx+vE4C+V X+mAsNRUlU0jPqzOaHl5LfNg1RDJ7gKRX2sVRdeYWtTzj/3wlEQ9hhmV2fwVU1ccruzwe86H+k3M mLpjUoKWPX2TZdbXq9aLwOS+vqhAcXHVyUNIuw65kqA8XOYd6QuNy2VkZCiZDjRa5foTc7rHrBqY iOPN+bEzlZrAGKaOiJkNPmKAN+VlBKiVAodX20i3JsK5OWME9oiMEkuJAYpsrvtqlFBbUlscjYqD DvczKwLsynUGET0JPYzraqdUiP8HgPyPxQbZAQA= --===============7173823819300058559==--