From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3335332918122882185==" MIME-Version: 1.0 From: kbuild test robot Subject: Re: [PATCH 1/4] scsi: convert target lookup to xarray Date: Thu, 28 May 2020 11:38:37 +0800 Message-ID: <202005281121.6ejzvRhS%lkp@intel.com> List-Id: To: kbuild@lists.01.org --===============3335332918122882185== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable CC: kbuild-all(a)lists.01.org In-Reply-To: <20200527141400.58087-2-hare@suse.de> References: <20200527141400.58087-2-hare@suse.de> TO: Hannes Reinecke TO: "Martin K. Petersen" CC: Christoph Hellwig CC: Doug Gilbert CC: Daniel Wagner CC: James Bottomley CC: linux-scsi(a)vger.kernel.org CC: Hannes Reinecke Hi Hannes, I love your patch! Perhaps something to improve: [auto build test WARNING on mkp-scsi/for-next] [also build test WARNING on scsi/for-next v5.7-rc7 next-20200526] [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/Hannes-Reinecke/scsi-use-x= array-for-devices-and-targets/20200527-231824 base: https://git.kernel.org/pub/scm/linux/kernel/git/mkp/scsi.git for-ne= xt :::::: branch date: 12 hours ago :::::: commit date: 12 hours ago config: i386-randconfig-s001-20200528 (attached as .config) compiler: gcc-9 (Debian 9.3.0-13) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.1-240-gf0fe1cd9-dirty # save the attached .config to linux build tree make W=3D1 C=3D1 ARCH=3Di386 CF=3D'-fdiagnostic-prefix -D__CHECK_EN= DIAN__' If you fix the issue, kindly add following tag as appropriate Reported-by: kbuild test robot sparse warnings: (new ones prefixed by >>) >> drivers/scsi/scsi_scan.c:392:27: sparse: sparse: context imbalance in 's= csi_alloc_target' - different lock contexts for basic block # https://github.com/0day-ci/linux/commit/45b149b239ea9a86968ddbd8ecda1e6c4= 4937b68 git remote add linux-review https://github.com/0day-ci/linux git remote update linux-review git checkout 45b149b239ea9a86968ddbd8ecda1e6c44937b68 vim +/scsi_alloc_target +392 drivers/scsi/scsi_scan.c e63ed0d7a98014 James Bottomley 2014-01-21 379 = 884d25cc4fda20 James Bottomley 2006-09-05 380 /** 884d25cc4fda20 James Bottomley 2006-09-05 381 * scsi_alloc_target= - allocate a new or find an existing target 884d25cc4fda20 James Bottomley 2006-09-05 382 * @parent: parent o= f the target (need not be a scsi host) 884d25cc4fda20 James Bottomley 2006-09-05 383 * @channel: target = channel number (zero if no channels) 884d25cc4fda20 James Bottomley 2006-09-05 384 * @id: target id n= umber 884d25cc4fda20 James Bottomley 2006-09-05 385 * 884d25cc4fda20 James Bottomley 2006-09-05 386 * Return an existin= g target if one exists, provided it hasn't already 884d25cc4fda20 James Bottomley 2006-09-05 387 * gone into STARGET= _DEL state, otherwise allocate a new target. 884d25cc4fda20 James Bottomley 2006-09-05 388 * 884d25cc4fda20 James Bottomley 2006-09-05 389 * The target is ret= urned with an incremented reference, so the caller 884d25cc4fda20 James Bottomley 2006-09-05 390 * is responsible fo= r both reaping and doing a last put 884d25cc4fda20 James Bottomley 2006-09-05 391 */ ^1da177e4c3f41 Linus Torvalds 2005-04-16 @392 static struct scsi_t= arget *scsi_alloc_target(struct device *parent, ^1da177e4c3f41 Linus Torvalds 2005-04-16 393 int channe= l, uint id) ^1da177e4c3f41 Linus Torvalds 2005-04-16 394 { ^1da177e4c3f41 Linus Torvalds 2005-04-16 395 struct Scsi_Host *s= host =3D dev_to_shost(parent); ^1da177e4c3f41 Linus Torvalds 2005-04-16 396 struct device *dev = =3D NULL; ^1da177e4c3f41 Linus Torvalds 2005-04-16 397 unsigned long flags; ^1da177e4c3f41 Linus Torvalds 2005-04-16 398 const int size =3D = sizeof(struct scsi_target) ^1da177e4c3f41 Linus Torvalds 2005-04-16 399 + shost->transport= t->target_size; 5c44cd2afad3f7 James.Smart(a)Emulex.Com 2005-06-10 400 struct scsi_targe= t *starget; ^1da177e4c3f41 Linus Torvalds 2005-04-16 401 struct scsi_target = *found_target; e63ed0d7a98014 James Bottomley 2014-01-21 402 int error, ref_got; 45b149b239ea9a Hannes Reinecke 2020-05-27 403 unsigned long tid; ^1da177e4c3f41 Linus Torvalds 2005-04-16 404 = 24669f75a3231f Jes Sorensen 2006-01-16 405 starget =3D kzalloc= (size, GFP_KERNEL); ^1da177e4c3f41 Linus Torvalds 2005-04-16 406 if (!starget) { cadbd4a5e36dde Harvey Harrison 2008-07-03 407 printk(KERN_ERR "%= s: allocation failure\n", __func__); ^1da177e4c3f41 Linus Torvalds 2005-04-16 408 return NULL; ^1da177e4c3f41 Linus Torvalds 2005-04-16 409 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 410 dev =3D &starget->d= ev; ^1da177e4c3f41 Linus Torvalds 2005-04-16 411 device_initialize(d= ev); e63ed0d7a98014 James Bottomley 2014-01-21 412 kref_init(&starget-= >reap_ref); ^1da177e4c3f41 Linus Torvalds 2005-04-16 413 dev->parent =3D get= _device(parent); 71610f55fa4db6 Kay Sievers 2008-12-03 414 dev_set_name(dev, "= target%d:%d:%d", shost->host_no, channel, id); b0ed43360fdca2 Hannes Reinecke 2008-03-18 415 dev->bus =3D &scsi_= bus_type; b0ed43360fdca2 Hannes Reinecke 2008-03-18 416 dev->type =3D &scsi= _target_type; ^1da177e4c3f41 Linus Torvalds 2005-04-16 417 starget->id =3D id; ^1da177e4c3f41 Linus Torvalds 2005-04-16 418 starget->channel = =3D channel; f0c0a376d0fcd4 Mike Christie 2008-08-17 419 starget->can_queue = =3D 0; ^1da177e4c3f41 Linus Torvalds 2005-04-16 420 INIT_LIST_HEAD(&sta= rget->devices); 643eb2d932c97a James Bottomley 2008-03-22 421 starget->state =3D = STARGET_CREATED; 7c9d6f16f50d3a Alan Stern 2007-01-08 422 starget->scsi_level= =3D SCSI_2; c53a284f8be237 Edward Goggin 2009-04-09 423 starget->max_target= _blocked =3D SCSI_DEFAULT_TARGET_BLOCKED; 45b149b239ea9a Hannes Reinecke 2020-05-27 424 tid =3D scsi_target= _index(starget); ffedb4522571ac James Bottomley 2006-02-23 425 retry: ^1da177e4c3f41 Linus Torvalds 2005-04-16 426 spin_lock_irqsave(s= host->host_lock, flags); ^1da177e4c3f41 Linus Torvalds 2005-04-16 427 = 45b149b239ea9a Hannes Reinecke 2020-05-27 428 found_target =3D xa= _load(&shost->__targets, tid); ^1da177e4c3f41 Linus Torvalds 2005-04-16 429 if (found_target) ^1da177e4c3f41 Linus Torvalds 2005-04-16 430 goto found; 45b149b239ea9a Hannes Reinecke 2020-05-27 431 if (xa_insert(&shos= t->__targets, tid, starget, GFP_KERNEL)) { 45b149b239ea9a Hannes Reinecke 2020-05-27 432 dev_printk(KERN_ER= R, dev, "target index busy\n"); 45b149b239ea9a Hannes Reinecke 2020-05-27 433 kfree(starget); 45b149b239ea9a Hannes Reinecke 2020-05-27 434 return NULL; 45b149b239ea9a Hannes Reinecke 2020-05-27 435 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 436 spin_unlock_irqrest= ore(shost->host_lock, flags); ^1da177e4c3f41 Linus Torvalds 2005-04-16 437 /* allocate and add= */ a283bd37d00e92 James Bottomley 2005-05-24 438 transport_setup_dev= ice(dev); a283bd37d00e92 James Bottomley 2005-05-24 439 if (shost->hostt->t= arget_alloc) { 32f95792500794 Brian King 2006-02-22 440 error =3D shost->h= ostt->target_alloc(starget); a283bd37d00e92 James Bottomley 2005-05-24 441 = a283bd37d00e92 James Bottomley 2005-05-24 442 if(error) { a283bd37d00e92 James Bottomley 2005-05-24 443 dev_printk(KERN_E= RR, dev, "target allocation failed, error %d\n", error); a283bd37d00e92 James Bottomley 2005-05-24 444 /* don't want scs= i_target_reap to do the final a283bd37d00e92 James Bottomley 2005-05-24 445 * put because it= will be under the host lock */ 643eb2d932c97a James Bottomley 2008-03-22 446 scsi_target_destr= oy(starget); a283bd37d00e92 James Bottomley 2005-05-24 447 return NULL; a283bd37d00e92 James Bottomley 2005-05-24 448 } a283bd37d00e92 James Bottomley 2005-05-24 449 } 884d25cc4fda20 James Bottomley 2006-09-05 450 get_device(dev); a283bd37d00e92 James Bottomley 2005-05-24 451 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 452 return starget; ^1da177e4c3f41 Linus Torvalds 2005-04-16 453 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 454 found: e63ed0d7a98014 James Bottomley 2014-01-21 455 /* e63ed0d7a98014 James Bottomley 2014-01-21 456 * release routine = already fired if kref is zero, so if we can still e63ed0d7a98014 James Bottomley 2014-01-21 457 * take the referen= ce, the target must be alive. If we can't, it must e63ed0d7a98014 James Bottomley 2014-01-21 458 * be dying and we = need to wait for a new target e63ed0d7a98014 James Bottomley 2014-01-21 459 */ e63ed0d7a98014 James Bottomley 2014-01-21 460 ref_got =3D kref_ge= t_unless_zero(&found_target->reap_ref); e63ed0d7a98014 James Bottomley 2014-01-21 461 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 462 spin_unlock_irqrest= ore(shost->host_lock, flags); e63ed0d7a98014 James Bottomley 2014-01-21 463 if (ref_got) { 12fb8c1574d7d0 Alan Stern 2010-03-18 464 put_device(dev); ^1da177e4c3f41 Linus Torvalds 2005-04-16 465 return found_targe= t; ^1da177e4c3f41 Linus Torvalds 2005-04-16 466 } e63ed0d7a98014 James Bottomley 2014-01-21 467 /* e63ed0d7a98014 James Bottomley 2014-01-21 468 * Unfortunately, w= e found a dying target; need to wait until it's e63ed0d7a98014 James Bottomley 2014-01-21 469 * dead before we c= an get a new one. There is an anomaly here. We e63ed0d7a98014 James Bottomley 2014-01-21 470 * *should* call sc= si_target_reap() to balance the kref_get() of the e63ed0d7a98014 James Bottomley 2014-01-21 471 * reap_ref above. = However, since the target being released, it's e63ed0d7a98014 James Bottomley 2014-01-21 472 * already invisibl= e and the reap_ref is irrelevant. If we call e63ed0d7a98014 James Bottomley 2014-01-21 473 * scsi_target_reap= () we might spuriously do another device_del() on e63ed0d7a98014 James Bottomley 2014-01-21 474 * an already invis= ible target. e63ed0d7a98014 James Bottomley 2014-01-21 475 */ ffedb4522571ac James Bottomley 2006-02-23 476 put_device(&found_t= arget->dev); e63ed0d7a98014 James Bottomley 2014-01-21 477 /* e63ed0d7a98014 James Bottomley 2014-01-21 478 * length of time i= s irrelevant here, we just want to yield the CPU e63ed0d7a98014 James Bottomley 2014-01-21 479 * for a tick to av= oid busy waiting for the target to die. e63ed0d7a98014 James Bottomley 2014-01-21 480 */ e63ed0d7a98014 James Bottomley 2014-01-21 481 msleep(1); ffedb4522571ac James Bottomley 2006-02-23 482 goto retry; ffedb4522571ac James Bottomley 2006-02-23 483 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 484 = :::::: The code at line 392 was first introduced by commit :::::: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 Linux-2.6.12-rc2 :::::: TO: Linus Torvalds :::::: CC: Linus Torvalds --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============3335332918122882185== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICPgUz14AAy5jb25maWcAlDzbctw2su/5iqnkJXmIVxdb65xTegBBkIMMQdAAOJrxC0uRx45q bck7knbjvz/dAC8ACI5ztrYcEd1oAI1G39CYn374aUVenh+/3D7f391+/vxt9enwcDjePh8+rD7e fz787yqXq1qaFcu5eQXI1f3Dy1//uL98e7V68+qfr85+Pd6drzaH48Ph84o+Pny8//QCve8fH374 6Qf4/0/Q+OUrEDr+z+rT3d2vv61+zg9/3N8+rH57dQm9zy9/cX8BLpV1wcuO0o7rrqT0+tvQBB/d linNZX3929nl2dkAqPKx/eLy9Zn930inInU5gs888pTUXcXrzTQANK6J7ogWXSmNTAJ4DX3YDHRD VN0Jss9Y19a85oaTir9neYCYc02yiv0NZK7edTdSeXPLWl7lhgvWGUtDS2UmqFkrRnKYXCHhH0DR 2NVyvrQ7+Xn1dHh++TrxN1Nyw+pO1p0WjTcwzKZj9bYjCvjKBTfXlxe4f/0ipGg4jG6YNqv7p9XD 4zMSHjdCUlINvP7xx1RzR1qfs3ZZnSaV8fDXZMu6DVM1q7ryPfem50MygFykQdV7QdKQ3fulHnIJ 8BoAIwO8Wfnrj+F2bqcQcIan4Lv3CfYGc51TfJ3okrOCtJXp1lKbmgh2/ePPD48Ph19+nPrrG9Ik euq93vLGO359A/6XmsqfQSM133XiXctalqBEldS6E0xIte+IMYSu/d6tZhXPEv1IC9om2hWi6NoB cBqkqiZ41GqFH87R6unlj6dvT8+HL5Pwl6xmilN7zBolM+88+yC9ljf++CqHVg0M6xTTrM7Tveja l1hsyaUgvA7bNBcppG7NmcJF7tPEBTEKeA1LhDNlpEpj4fTUlhg8b0LmLBypkIqyvNcZvC69LW6I 0gyR/A3yKecsa8tCh6J7ePiwevwYMXtSwJJutGxhTFB8hq5z6Y1o99NHQQXkKU0PsgUlmRPDuopo 09E9rRLbZjXkdiYbA9jSY1tWG30SiOqR5BQGOo0mYMdI/nubxBNSd22DUx7E0dx/ORyfUhJpON2A MmYgch6pWnbr96h0haz9HYHGBsaQOaeJc+N68dznj20LSPByjXJiOabSGzqbrnfkFWOiMUC3Zkk9 NiBsZdXWhqh9YqI9zjTLoROV0GfWzC0TnDvRtP8wt0//Wj3DFFe3MN2n59vnp9Xt3d3jy8Pz/cOn iLXQoSPU0g0kHmXaykwKmOkc1QNloL4AbpYh3fbSZy7aX22I0WnWaJ5k999YlF28ou1KJ0QIuNQB bM7OoBE+OrYD8fGWowMMSyhqwgXN6cAaq2qSTw9SM9AwmpU0q7h/OBBWkFq21q+YNXYVI8X1+ZUP yaSMKdgm0EUV2V+/AV9vZK0dWtIM9zvJ45B3oxRs3B+eXGxGHkrqby3frEFrRidm9HPQoSnAbvDC XF+cTfvAa7MBL6dgEc75ZWDd2lr33h1dA/+sphlEXt/9efjwAi706uPh9vnleHiyzf26EtBAxd6Q 2nQZql+g29aCNJ2psq6oWr321G2pZNtof71gtmmZWGtWbXr0uLub/NRaEK66EDL5kwWoWlLnNzw3 68QoynRJmv1IDc+DyfbNKl9wrnp4AQL+nqlTKOu2ZMCglDfjEHK25ZTNZgRyF2qKYaZMFbPGrCkS s7cmNuWQSboZcYjxHFx07MB0gzaa2lqwTrX3bZVcHXALnbk6JcfgkamgM/A5+K6ZCb5hc+imkSDl aFLALfEY40QZvf5BWibPc69h/3MGegqcGZanBMCe8W++1AHnrZeg/HgJv4kAas5Z8IIJlUcxBDRE oQO0hBEDNOwCa2kxZFJgLOh1EgRqCm0Z/p2WNdpJMGsCYj90yqyQSCVITZNudISt4Y/AO3deeaBP eH5+FeOA9qfMWlPQ9MSXYdunobrZwFwqYnAyHu8bT4JjCxKNJCDm4ChG3uBwoASYkW7mnDkxmDUX a1AMvg/jwgznr/hGDpVr/N3VgvtRpqfaWVXApvgiurxkAt5w0Qazag3bRZ9wPjzyjQwWx8uaVIUn q3YBfoP1Jf0GvQat6/nI3ItNuexaFXgpJN9ymGbPPx1tp9X+uBM2Dizy7sY7CjBMRpTi/j5tkMhe 6HlLF2zP2GqZhOfU8C3zDw0ITFdpkTIeAJn2O+jwOzcwzg3Za3CHF3RTv5QoisA0zLQgoF/TaJ8h tgkCG6tpbWtiIKDE8tw3Ou54wPDdGEFMPh09PwuUgDXOfUasORw/Ph6/3D7cHVbsP4cH8OkImG2K Xh042JMLt0DczdMCYfndVtjwL+nf/M0RhwG3wg3nPO7gXOmqzdzInp6XoiHgR9jE1KTGK5IylEgg RJNpNJLBvqmSDckKfw4AQ2uNTmSnQB9IEY88wTFAh9grT+pavW6LAjyrhsBAY/icznsYJqyFxbQh LzglfegxuYQFr4IzaBWpNYBu4/rdCHNvA/Lu7VV36ZkfG493+R7MOISNRaSUAdu3c9qollrlnTMK ob13csF/bsCFtibEXP94+Pzx8uJXzNH6ibgNmNtOt00T5A/B7aQbO/AcJkQbnTSB7qOqwY5yFwNf vz0FJzvPow8RBoH6Dp0ALSA35iY06XLfhA+AQH4dVbIfLF1X5HTeBdQSzxRmGvLQ+xjVDEaTqPF2 KRgBhwcTyyyy0CMGCA8cta4pQZDi/JZmxnmLLmJVzHfzMKYaQFY9ASmFuZB166exAzwr70k0Nx+e MVW7TBHYV82zKp6ybnXDYBMWwDaysKwj1eA2zyhYkdKDIoMp2RO4hNbanJyniwqw+4yoak8xoeXb xqZ0AVMFagxs3xhO9Wl5TXAbULiR14y6jJnVzc3x8e7w9PR4XD1/++rCbS+w6sm8l9DfydWkSUQq XYqHumDEtIo5fzw4wZ1obGrNEzZZ5QX3gy/FDLgOweUC9nSyBo6bCmwlgtjOwMbgZveeS1LzISYo JkwRNzqdkUAUIiY6fXSTWCaXuuhE5vk7Q0tsK5DmuKN98hdCwapV0QIvLzqueGDwXMwgBfgCBbj1 cFRRtbKUul7vQdLBAQKHuGyZnygAhpMtV4mWbrcL89dD+1LohdNcb1ExVBnIEtgFGuRed6wOPrpm G36D3TqLMdZbETZpVACz+Ml2t+emCHjUE0ldE4BVj3jh0qxNi0lBOBiV6Z3UiQUhpelyYSvG0VMZ vIFzizm0EWNIZkyZhddvr/QuOSqC0oA3JwBG00WYELvE9MWVNa4TJig6iFsE52lCI/g0PH0OB2g6 VhSbhYVt/rnQ/jbdTlWrZTonK1gB3gwL/eoJesNrvLugCxPpwZdp/0qAOVygWzLwU8rd+QloVy0I At0rvlvk95YTetmlL9oscIF3GBYs9AKvMBWxoAbo/YNQe1m9VOMSnOF3eb0rH6U6X4Y5xYxBDZXN PiSNvn4DdsulV3QrQjCIe2QpRLOj6/Lqddwst5Ex4jUXrbCmpQCns9qHk7IHnppKaE/HcQKKGi1c F+QZEH8rdjPb510E2DQ5JixYBXozldmAeYCpcMzwoo2+2cpA4DEPELBZ88b1vvS99ZEKnD7SqjkA 3N5aCwbufmqIVtBk+/s1kTv/Um/dMKcGvSFyPwlRW4dMYxgDLlnGSuh9ngbi3eIMNERHMWBqgGlV 6LaGd2hWlIBXDQ8S2X0zlwhYkHh7cT/09KVWJskppiAGcdmpvr7ApsDw1nRhBEFZTAWaMElesZLQ ffKQ9lhOXk5igIAsDExqyjHwFVGs1RP+ndkkrvMUvWD6y+PD/fPjMbhg8qL24TzXUYJphqFIU52C U7w+Cljj41hfTd7EKew+6lyYb8gdx144uqFB9TDOr7JYjJhuwBX3j4OThqbCf5gKgnMjQd9lJEGd v92EFBRDOQHS8eUDp6A9QLkub7JOOYW938w97VBLvPF0sUNwCQpNr9Pp2R569TrlEm6FbirwTy9L n+DQepGmOIDPUxRtpCaLAkLA67O/6FlYx4RLasjssNCGYHxjuDacpg6Z9fwKUAuwEtArJBHf2chk GWy19uDBYzWBJ7i8QjmqBv8c7+hbdn0WzrFB2t85ztbEQYAvNebsVGvz0ws766ob8Crt5vrq9ejL GeVpXvzC6I8biMEX2/sVj6r1bAENWYSuudW5Mz3stib2tsF6awhPUReQ8PLKgsdklh8uCdJEelvw qMWpB6N3ditQXmKRiDHSXlkCE+9oUonQgvtDwCdIXJtM5TGKmZrghL3vzs/O0sfrfXfx5ixBBgCX Z2dzKmnc60v/AnjDdixlzZr1XnM0ZnBYFJ6v8/B4KWYzgqH8uz3C+xbMcYf7YJMstpd/FzGMQipe 1jDKRViL6NJY21wHBVxU5DZdBDqwSkwd9oYX+67KTZAzH5T9iTRGIHC9qDsF1KABMf71cvP438Nx BUbj9tPhy+Hh2VIitOGrx69YyOklRfqEkJc97DNE/b1qEMn3IL3hjU3Jp/awz0GxMcD2WSo6XTEW CBW0oaza9nSFhehuyIbZ4qGUMIiI2lLcDyBaBUHrzTtneDsbSlkPotcHS7p3zIEgMz0lMPsaTLIV Qg3aTW78y3WXuwSTZPqLHezS+PlL29Knr90krROhvZTuuA6La5ddJtMqjlZDVRedCQeId8RNBmx1 oeeOiY+j2LaTW6YUz5mfUQwpMZoqNPMxSLzujBgwQPu4tTXGDwZs4xbGllFbQerZLAxJh7qOdyBb S5OzcZViICpaR+NM0dDo4aXBYflWCExy3nUjZQlmauFqw61qDX4aqSLatNUQ+Ha5Bi1T8Mq/QB/z 1j1TUIu0TalIHk8whiWkbZmhDUW5kmYZA/42BBTl4tLW0jRVW/YxzWwCOktnP13fhXsjnzsQJK7l CbSsVCemr1jeYt0lXlPdoD8h6ypVFTedbtIwT0eE7f0FdzgEApITyBtTpCKG4NDtwCCkN6jBiynZ gGTxBXdi2CD4O3lonR84xseTfSj4AjYBdIwKPBkL9TYigJWFQMsVrPSmJiUcqOLl3L1tXAqkP2oB 4ZyDoST7LqtInTznaIMq8EC7/s5vKEtcFcfDv18OD3ffVk93t5+DQHHQC2E2wWqKUm6xNBqTJGYB HJfZjUBUJInmofQb+3qVJYHnkcRFMcFcdLpmJdUF+W8LkP5+F1nnDOaTPk3JHgDrq5q3yfIYn1fh epMYwyoX4OOSFuDD/Bc3a5qsLx0fY+lYfTje/8cVASR888YaiUUHvsFnLE2Loy7f6/QW6SSS5UYN 0ryQhQ5x0llVmyLd2WMoFrSkDXIa8JzBR3EZOcXrdFlViMpp+noixNIirf3s7F+7G4hTU+u51NX2 Rj6dIHZpsbpU7XJchfA1yO0iApvEL1DIVgie/rw9Hj54brdfIJxQL6Ns8Q+fD6GyCZ2IocUKaEXy oHggAApWt7GeGIGGpXcsQBrumJL2zYGG+yg/mhmXMSYY7DGI0b4frFimZC9PQ8PqZ/AvVofnu1e/ eIk7cDlKiUmHIB6wrUK4z7Q9tCg5V1E+O0IgdbLqHWD9mF6Lu0IMCNA6uzgDfr5rudokh8Gqh6xN 2du+HgLTtD5ZaE7F7RQD1fACFlvWyhnslP2r+M7vUDPz5s3ZeQKzZP5SMXNZB2VB9gjvdZGFK+x3 emEL3fbeP9wev63Yl5fPt1GI2kfaNlM50Zrhh64VuHhYSSJdFsYOUdwfv/wXjuMqH7V034XlQSEz fGIuJrH+gith3T3BhKM8eWWC85S/Au2uKDK4SYBNIfhskK4xWVDL2qZiij5kDneZat7xrEgFpcVN R4typD928tuHlERS6Eopy4qN65rpL5jV6mf21/Ph4en+j8+HiYcca88+3t4dflnpl69fH4/PvtHD xWxJsq4eQUyHAaxb+2Zg60IvhdfRgnU3ijRNUN6GUEoa3WLxiCSBLvRh9vDBvwT+pXodTyF+CBkA FeUXLihaRBmehOJ5n1Wt93L7/2FowLK+YmYQZnP4dLxdfRx6O8fDty8LCAN4dhiC47Pxyxnwxr/F R61D6VxQUACmT6UDVAgyt7s3594FAxbxrMl5V/O47eLNlWsNnrneHu/+vH8+3GEG7NcPh68wdzQQ vjXtqUhXx5fyJe2CBvg07tCCsVd81bcZa5bGAX5vBV7IZSxlBWVj4iqnngS+yY2LAGcVUXaGUw6q rW3GEQvtKWYC5rlo+9LW8LrL8L2nNyiWHaWIcwissP4uUaS2SXZYpJRYqk8mtV4LL9raVTpacekv 5YJKTIsWVHpPNc+W4lrKTQREq4iZBF62sk28AtSwadaNce8jI07a+j2pDGZk+6cGcwSI4fr7kgWg 8xy6IN3vzdw95naVnt3NmhsWPqIa6+70WDVqbGW97RHhXV5k3KBt6mZvabXA5HL/MDveHQj24TRi 6hbL53q56v2JAE/7AW24cfiIfLGjy6z6LeubLoOlu5ckEUzwHUj3BNZ2ghGSzQOAGLaqBgMJmxRU tsf12wnJwdwMRgn2GY6rF4ye7kxEEuMPJdqqZ1reiuQOT5rhNNQvq+/RhGi7kmASr0+3YdI9Cca3 cCmUXhLdyXGP0vrKkXgyvUrpBRHvJ+MtdP1cncACLJftQtEovj9yD46HnwxIMKO/U+qLZr07h4V2 ryduQQXyEgFn5aCDz9iXjAZg+8DVG3Whb9QJOCbrGTvtwrkB960XD1vbONO7p16kuqMgUdRE/DJh 0Hq1va0E/mIxbmLT3P4DDB8SxBcMdmMsEK+IwMqquDtojOHemFGsjveET+YtXl2gucFXNsqX71EB Wshws5aaW1A+Hpu8HSizpGYOe70NZVE2+0GtGv+JDK2wwBf9Z3Blcw8g8VcpeNnnFC9nABJZojHg QGWL25fS/Absixl+r0Hd7Hz5WQTF3R2Tk91ToImtDWzH5cVw0xlq/NFLALMVmP3RmUGt6L8VWaw1 6J/hdKymat+MRTQlldtf/7h9OnxY/cu9Ufl6fPx43ydIp+AC0Ho2nBrAog3eWHQjemqkgCv4ezJ4 X8Dr5KON73iSAykFfMdHYP5Btk+iND7T8UoK3OHwedrvl3v/gUFI+vYXcdoa4YudHThd0ThZ+CU4 0tGKjr/QUqUzVwPmQlKkB+NJUGyh0LzHcZlzwbUG7TY9X+24sFelya5tDfIJZ28vMlmlUeAUiAFv g2/TFvmp3SP3+I4162/Ex0/wqTCUVuxdWE89vEPNdJlsrHg2b8dcVqm4Sb5n7UGdOQ8SMQMCPkRI 7++AAepNGoPPkhbRhkIDa3TTN0GIdpOlQ9rpyTcEB1hoWC8U9ASIVCZ/KshNe17WbnmOxf8NqWap heb2+HyPx29lvn3132nAigx3Lme+xay/bx2oBHdwxLgOLs0CUEdbQer00/EYlTEtUyXlMR6nenEq MNniBNTmiMGjODVjxTXlyXnwXbDmwXzpYoEVAozaBEpRNETxdGdB6MmuQudSp7viL2nkXG9mcbJX BFhzvFbITo2gQSCBF30tVmKcFojYNFxysMHI5SLdGwHL99e65OnlT6NX9md7TiPptv4OxoYosbBJ QVbpO+Ps9fbq7XeQPF2RwhoS8dGB9E+3eIdZrVDXQRumhvwHzdhsL3bdDzbJ6acsvPMN/bh0r4Jy cOLCV1IecLPPwvvlAZAV75ILCMebEkz1uZd8qd2PvoHHC647mloaP6ObinxcElmJm+u5c2V/ICu3 ZGxp0jKKukkhWC9weNbcZawY7r7D33jycG252JD9nDCmQi2Xsf3rcPfyfIu5Rfy1v5WtHn722J/x uhAGPXcvSVoVYZGznRRGvOOtLXr6/a+lePvtaGmq/o+zN2tuHEcWRt/vr3DMw4meuKdvc5Eo6kb0 A0VSEtvciqAk2i8Md5Wny3GqyhW2a6b7+/VfJsAFS4Jyn4moaSszAWJJAIlELpkc+mcAg0wQq1UO d+hZG2ppLO9J8fj1+eWvm2J+GTKt15bsWUdDWTgGTpHiIDVbyQocpVkXhdXaeu4bIspJksZcHbfe lfosLllpwWWRobShJ9pjCKzDSXXlx/5kuBGqW/5g8cet/YTDwEortEN5TNuWBUjca2LLpjsj569x K+YmxdWg3FzheGki/c6EWrhecwVFG0o4GJOmb/tgpZig7+DiISvchOdZhU9gcttvyZgDI1Pye6KI 25U0v66cbUCvZJvLogGfrVQvdQXjXw6aSouIat7PicYqLry3itlLnKeRMCmmZkR1VYWfC8fWhCUt dhAL7YzYr5sRdF9XlbIo7ncn6s5y7+/hmjwP2T0rxkmeHzgHx12Yjdoms47l+BohnxaFypY/dIwK 6/mzXIvL+RF1wbcKOwq30smPc25W2nAPHz141/hFjNoDcu+xiOTgnAg+pLjIuFU69xwg9mNEc62J rCwbBgB1wiD+H9N8eKeaNjz7njZzixwzDtoB9TXKKwACUwIG2ytXRUu7xe1O+BWPOmG+r5aPb/95 fvkftFcxNlTYAm5TxcsWf0N/Imm8UfxSf8EJoPA1h2EhYthRZ/NVWkQ5IzyUFXRbUcuj26suKvib H6C0pQZiuV/D3mbaxElANO3Rc9vm3oA0YvtbqoR04pDf1/vblDIn6JKah4ZK1ZghEtg2qpngm1lW qkXcHgx7SJHX0+Wq535ejVZ4n+3wCp5aV8/4gTofothq4ahEtQNN1NImPxPZOW12FSOd1Ou+LuWN gP/uk2Ncax9EMBoZ0mbkA0ETNdT7Ml9oteyfISAHFIPS4tTpiL49laUsbUz0iqBxh6dudZul1BCK Iuc2U2s5JXTt++pkAOaWqMOP6Mgy5nz/YJZREm1CYcDCZEbTOFDdIARdXI9gtXrsn87FKkUTXa5Q IBYmBnXz9ELFr8Ofh4nNqZ1opIlPO1lqG6WLEf/rPz7++P3p4z/U2otkrWnPJk47ByprnoNhkaHe dm9hTyASIcFw4+gTiwYQex8sTW2wOLcBMblqG4qsps0GOTbLSR9AXrPBGFhA4W4OYSAFftWqBVgf NNQccXQJ9/yYi8/tXZ1q9ZGfPTQ6mbJ6RghdeHFfw9aedqhxpDd3UQOfblt3WHoI+vwyfVurHbEg k1DeNTOBFm5Q8FidT9XaDh6btqSo21i+geBPg5MFFNtmCxoOX8BQ5/iip0pVJZeoagzhzli2v1Mw vAjcFfhjCxw4Ra3Id0ChvwxOIFlHOF94miwBSXEiMnSP8fPLI8pBcOl8e3wxotwbH6FksAGFY4qB 578qw6wieVhZ24xopEbg7QVam4m/SVkxypytxOB5ZcklaqUDex7aFAqDZHalXD/Ms1x4Rg58cK0O 1IjLoyvjhCeS9Qvi+Z8eBpkOWQsW5fsIOQ9eazRfSlqrW/7WVvVJLK8mGcPi1oKBcxEu96m1pxGa qNMKbYVub5GAFKKj7/nXqbKGjsKiEAGbcF9fy5uUyg+l5exRp7x+TxcwHtQ7qCzB/dU518ZMmZ15 hc/gMmr138T9a0AUEYNVrfpYAWo4Xb4aoFGYN+BiQaoMAu07FXB5tnQSI3yQPQPxEW+31X7PHyO/ aoVECEF7pTB0PKOElcK6NyFOLynhcLDkMRnGVQWJ4VfqNI89CVntfgPBSy/y4VS1tvWEn7UqfsQI oJGAFX2MGC2jIRIviVakuOhZ0dpOro4BbCQdLQ/zmu/KJYI+OdXEnq9U8Q6S/SVZPDk42wl9Eefz ryROAk+HWTetGH6Id1xx/Hrz8fnr70/fHj/dfH1G1b9iFyoX7vWTiKZC1tYple+9Pbz88fhm/0wb Nag/4iksrn9uoB7lovcXIJq5WOD4t6hR32b4CyyWyC1v2iTtVcFlprXJDzKpvh8Q1ZQYsdhyFFDk +7/TxnL/HrFtpkf1kc3YnKRPF/xT6EEbj5x3F4EWvZuWEOuW647rQrUiUVbU14e3j58XF26LmWKS pMH73/WvCnq4Ir2XVBg4vJs6PzHr4UiQV0UBMur7yctyd9darpeWAvYXd1sB++FNF3jffM/0XLB6 dwE9w4OdFCXrd9Om5781sQl7f91pbBG5CFKLQoYgRbHhb02NeGN4N/W7eWRBTURS81hn7yXPPZt8 T9Cm5cGiPaao/87YaTqWZdL3c79QH1WW8AFEgXL/Dv3ARG0VAAnSS/l+3lh49aCob9u/sxcviNom 8btPx4E8jXKLOE0Rx39jL8bL+rtpF+R2gtrqC24h5mrh9xdobO+wBLV5Oi9Sg1T4XtqTrzlej67B S/o3WauJHja255yzKVBk9f//DrXeHjX8TcS1pitN7yVmkWNs1yRxyzJIzFs81q7d1fH+tFB3y9/d Fj8u6ra8Yqm3K7N3Vz7PtX5a1Tp6qbi4MttGBqYMaLJ6usXJkwmYQcqzvhROJLajV6ZpW/qoEzSm WlgjGOVc4sas0GkXD6XwFRlcoV24nSh0ixeBsf/lweKkKgia6LKABdH+hMbLCyTAIWIOybW9tAaH RfrvYGmZ0suRfpRSliMV/FJZjoFlOdrqnpajpWZ1sQX0YrM2fF4tVpJhwVGfz+rAvpyCd6wniSY9 ZQG9qBUy3DOvU1W1RR2vUFkkUYUGey5MDq/TFu/opkUiU2hYs1jR4sYRXNk5zC8urNRgeakGtrWq Uhj7U/B3NiiZuKxby3JfWs3kmRuMGrwkjb89vr1rLwBSnqhs3x+aaHfK9ahoU3uu1UmdpuK90LYI p9vsEt345Ljv0x21OY5k9fLRY73doihkE0abxOJCA5c4gjWiVg291WJgxIySJxCVR2Wqkxd1ZXGs AOSu8YKQ3k30e98AZvKLmBhI/XefHQoYgbKqhqdhfeDP0M5hdWqS70AnnGTRdIQpZpUDiCjBqwwd z1XyTM3Q/nC2iEoSTXEmJTXBznK9A4MLOxGiRJ4rJpfw0yNnLFJjXKI3UVTXeYoIokDnreexzqNa cnWqj5XWxgDOu9qSGSBL0xS7vCaFYtwRh8C5fFV/+PH44/Hp2x+/DAb7mufgQN/HOzrM1Yg/trtl /N6SRmIkAIa1NxfTz1WaXpnD+Q1/uWWNXRvO8UaMHAO/XH+bfrDqcgTBzqomGIbWZpKGWLjKUR1v IxySxXoP13qeMLtGnxPAf9XI3lPJxqrMENPy4Wrr2O3uKk18rG6tN1xO8eHK5GCU8+XZ2X94B1Ec 3dL25GMd1BQdj8vzXmdLdc6GLmbBnAyrO3MMo5pDBNQVC/3Lw+vr07+ePpo2N3AaGQ0AEDri2jUg nKKNszJJ6ewjIw3fYG17FBLsL8rbI4edfG8GDgA9DewANcxhxu+ys1WVNBFYLgJjy2D7XSQwnzH0 Iaz3Zuew2rTRJw8xXCSOyMBvSJJyvGaYPmms4lspK7SEiotabcMA548eJEYZfQmOeT5IRJt2LYmI ozJLSAz6LxkjE8WaLX6ExjqoJ9UainAMIzBDD5Gw69mZFRRZA3ukWQGLijonKjaahkDVAGVsWppk BJhl+pBz6O2OJo8xO40BhbYxE4qSjgk12IxXOzwiEZg2K/cV2cKiIgYq2xOjJOw/0K6e+oAKgwp4 5UZrBsRw7puIYYPR10obj64WS9t1tlcixScxFXY/KTEYDqvys2zuuAM5JeL+0BRs/NOCzCMSnsiB ZiV4GZPgAj0JVK+yuSrT8chKdo2Ix6y7RoTXMZuCu6rT8swuWRtT+dTOs3uFBtFs2CdwDncOPSjf WUQBPBdxNhHSNwHuIEvS0BRGZOBysOBUW8dXo7KzIKQ/MIlvOQSPO7wxqVDYUoTxscbIJaPG7Mga QyDg42ux8UEDDx+1C/gWoBus4VdiRgWKHqIMIAVfgLLv24wShjKUqTi/PnXoQHjXq3mbdx/kHyIx sQpgbZNGxRBMQXOUunl7fH0jLij1bavZ3UnIpKnqHiYyG33SBvWEUaeGkL2y5s8do6KJkozK6BHL GzAGlWyiiwrYxYUKOFzkeUfIb+7W35oyGlz1ksd/P32UQ2Yq5c6x5TbIkd0SluUaVsIhzygtjqM8 xlhA6B6hXv9566Pyvs/gL9qiFUluzxFG8qrjLN3T15NaiAfWGuJlbLzZ0JlREJvxGJSl5cs8Euhi 7XUa3S61nY/nb5GeVkXFV/tW2zKnST4xOIrG+JPGJIeoQ+AklqrTgi3jWYJ4OgYzZ8jl8sPkLZEU 8S5aJOBDuERwMiZgfKs0B0gtKSKfCB9G+kmEWEjT5iNvRJiNO00aBdLs8UQgQH3Lg8/MxyOULi05 VAB3zBI7jjqYdmjSp30gTy2qxh3ahOV7awTVXUsJCSLy75cfj2/Pz2+fbz6JIfqkh+fdtXo2Qexr rA1Kq+KPcbZrYd60HoxgkXTGmmVAptypvq0yqmgpRYZMIZplFGaJRQkhCE6R5a1iKB8XnuPT99yB oobdYJFgb1sMAn+Gf3TXiuasdwlBvd6lGR21R/9WL9LemmMwxna2cYSkaN7DUd/UtDoAkLcxpdfT T/kBjI98zRDPawBdsibNFY+fS8ptg2W/Mg5C9xRJC7A/oBJUCjhS5hzAHaaG0B7z7jFQ4+aR5ph0 rwe5soRtml5lE32cYtTSIZl9X5Vk2PCJGiNeQX8w2FfJE10dkp3ZZB6yZAxahyR4l2KW5goHyXrx s8OCJ74UN0lk5qaf0DiukqgbxdqQjhDuh9/EBKKJMSoETndOY6cAEu+h+vUfX5++vb69PH7pP7/9 wyAsUjWU9ISw7pYThT1ig1w7G8MeqEE4lErGMP86sqxEvBsCNfhc67m+5y/nxYw0285aIh6FMUPt Qg1VvLteQ7ZjbKGOml2vAq48CzWgG8fxHZUcLzwajrUa4AIR0Od6VUgas8g+8khQL3W7TfJ3dByn CC1KAdLB6r9XsjleMoASpZv9bSZfnsRvzswGMCvrU2tAD7UcEwpvQ9ta/z2HjlLuVIDorHeqba2P WBxlihss/l4KkoLo0u6+wvFWITGt0b7U8myzJxMVUio9RXsleQFrkMHDd4AmrBV5p2fQAZNJp7mu B0A9Ql8w1X0WDxjuwybnCIiyvDqTb41pe2yrKh91D3NVImzrfIMWr/j6FVEhztTn1pTOWiEiLssR xvQffVIVUSbHOcULEZ4gWsQgBEdktziG1YVaBUKmnV6vB3HLOZRUMjzV3kU85zSyNBQzrerN6euW NnTlyB39OIBjV5AKF8TwlAhGyhT7EkIsGtxiJJ8hC6WealSh1bOLKkiueCGzj8ImgBR489w3FQj/ cnImLBq1KifwmLYosQ2Jy1RkJmdN519uNO6qI5Zpnxhjes9amCElXa2KxiKaJcA+Pn97e3n+8uXx RbrDDEvk9emPbxfMt4CE3PxVTpsx2q4skImQaM+/Q71PXxD9aK1mgUrc7R8+PWI+aY6eG/1682rW dZ12Ch9Ij8A0Oum3T9+f4RItqxdwmGFqeRB48iqgFJyqev3P09vHz/R4q9x3GTSVbRpb67fXNnND HDWJukiKOKM2MiQUG9LQ2p8/Prx8uvn95enTH3KQ0zvMYD/zG//ZV54OabK4OupAOaSGgKRlig8g qUEp0nZLJ3RUZ4l67A6gvmXZxqOS/owEPAjH4Eb/q++YNQz7QdP1bdfbg/9O9RXY8IOWmkYnUg/8 +VOnQjwImzgM6FWaYB6OuI+FPppPTvPw/ekTBo0UDEDwkDQ26w0pLI3fBGmt68yPYsEgpIYbSxzS kjLiGUmajpP4sv7Y0uY5bcrTx+EkvqnMNCknEfTbdBoaxYz03Ba1Gm1hhPUF+oSTMwpyZplEGH6d 3uob8dkpexKmL0mMLXRKSfPlGTadl3mt7C9GVp8JxGPCJVCjHM2yg8vS9DUp++lciud1EMOgyEQU wZSWiezcXIQKlj0TjdKbmYFn6O6kVYh4HuKzHDBzQIlQ2zROg0rTx7WTTXa2WB1O6svGYrMoCFB/ MVQDAgCmLSCJOVkk7kGCmCeGIcZkDPiHIfpQhOB0kngroc+nHH5EuyzP2kxW0zTpQYkSKH73mRcb sKKQLyUjYSOlO8H9iCdJ4Oy0VzkDkfsUxDWRi4Y8TCzrb0pfJ7RZyoIsjpme9E1JlzYWmY6XCu4G aroKVEANUVDkBh9KW9j2ln5EqKgIMXqiapHlQ9XbzIB5xQtQT9qfjsioC8PNNjAq6l0vXJnQssL6 JLgcFY6HhBv0IFxfMp/AL89vzx+fv8hBDstazdg9hF1XVJRDJPbyBBfaXU6v/ZFoT6mQ46SpCqpK FNYZS2Aistr3OupYuW+iQn6jw9/9pcna1LoPcZIhnukYInOx0ScgXiTAh+9FgqTZLYexL6/gWRcu 4qFL9FUchxbfX+PkbEnhjNIU7j5pS71o4/UCPqJdL6bSEhrHO7Vkth2e7q9xx7VRapjKA+Lt+Vyk kmw/XuUBqimhp7E+q/dFTrocfZGTHC+FJWo4R+8tFneIa2PS1oyjuNOA0Z4p/IOFs2SixS9PYQXI nVMZPHFxenr9KO2/o9ySlqxqWJ9nzM/PjicnGkjW3rrr4WrSkkD1jIFDt7hTT5NsV2BSLmmLOsLB XkmANtsX42TO5ycCN13nkp3PYrb1PbYik3PC6ZRX7ISK/rThj5HK5RVOu5x6oInqhG1Dx4u0EJIs 97aO4xMlBMpz5q6MA9kCZr0mELuju9kQcP7xrSPnuCniwF97ytnL3CCkBOXBDGcOeT3dzo4w3Cfp kYPhhqopOcaLpz3vYwcCR9n1LNnr18exmnMdlRmNiz3dB1zEZ0/hwC6Uq/Y4fxwDW5dHmacO2Dw9 RLEUPW8AF1EXhJu1Ad/6cad4vQ3wLGn7cHusU0Y/Eg5kaeo6zopcY1o/plNvt3Edg6sF1KavlrCw ZBgIsK0cr7h9/PPh9SbDF5gfGDL5dcyq/Pby8O0Vv37z5enb480nWONP3/FPeVRb1EGRPfhf1Ett HOpOEKEHSoQ3olqJkYqZj4s0I0C9um/P8Laz+GVNFMeE3IEl67RxDDG76JebAlj1v25eHr88vEE3 CRY8V7VVHF2qQmKc+EgrAzEZAIxOXDW6/kwlaVrWvYPCpqU/RruojPooI/ugHAOK7jlTX2Yz1SeO jxFmDxpfpF/1k5mnFkJrVUkFkCWwmFs5XwJSqb/wYqFBZq37fMFGOBf0CQMK3q6hQTdvf31/vPkJ WPZ//vvm7eH743/fxMnPsFClTNmT9KXIPPGxEVB7gh9ANmQRclGPSNlCnPdjOqc0OPyNigT1GsMx eXU40F5dHM1zKfM758jufEjacRm/atPE6oyaGJA4JrD6fZGDmeOsbcB0t0SdCM+zHfzHqFUUoR3p JoJjBfdpZonEIqia2mzaxPH6SPw/6rhecrQ8UM99xNCincBhjG0z5bSYwu6w8wWZvcFItLpGtCs7 7z00HcxaZXHJTD2jAo2f/Uvfwf/4WtUm7lgzfWEC9baTtXwjlJrdCDXBNm6Jopj4ZJTFG6X+AYD5 exjPICGMzCS/ipGiSXkq2jSP7vqC/bp2HEk/OxJxtRuZ61sjFEexUOearRnu2RG7nRPize3g6r62 vcMnFjnx69TDrd7D7dUebt/Tw+17e7hd7OF2oYfbd/Vwu+I9lBuHoKWcU/zwOAMb2RimOJ8K4+So 8RZS6Q3AeMjsjmDIJi4YpfQVmzJ83JO0SgXImfwEK9PLIVUThI2ogrKxmrC6pDohxGpRele3Pgn1 cAvkxguH9FfXC6lSS3iP3HeLqGnrDwsby2nPjjF9aR/2BhBQSU9mvi2dGBxY8suEOF3yiB3HbMja 1N81tDQzYi3OBULOq8/WbRIVGeLjg5aDaDOcTnuprfxnJS2K4des8Ibf/d526xEjrGFVeafz3a2b GIOwFw/8uuwnkxyS9kgdztYCWa0zVVZmSsayEYjG0yantBZnQoG9K9Z+HMLKpu6mw/cbs711Q+mQ dRLU49spPnAOQ02pY/v2hzzq94rPeBsXCPW6bqFXWOzKuZvXpLWLmN7Y367/NDcfHKrthg4LIKRe VvvWcbwkG3fbGbXaLpRCXC6oM7YuQsdxjZp2+6i3d0pPcyfEmGOas6wy1odomaZxk6Ux7QoxHTDy ezBDBSbKfrIenD/9ogOEnEsOgKMhX9o08sMAonhGWRU0qL7n9iLwvq4SUlpBZM1flIbA+bMFwH+e 3j4D/bef2X5/8+3h7enfj7ORvHyr5JVEtEHxhOvrPGrRJkYbBFibsRt4nQbm4hUvqCFYlntK2C0O 3NNO0QWZFmQMsKtp5mD1ZDyRG1UGkJi/WH1aR2htEUFHt7JZVSpXpazbQSTndNQQ7mpC37o/MS3R m1AEpGl64/rb1c1P+6eXxwv8+6d5mwUJKkUTaOkUGCB9JYZ8/s6IgGbQHh4TRUk2f0ZXTDg0jAqH paZKc4h2sWjoMDw4WsIaDP4Zc49KYo53VZnQF02u4ZVJscmHkybjz2qQD6coz+7t0Rfp3SbbK/4K 3Lc0tTyCQL/R+5ZWEdU6ahQZuly2jcBH1rM6AiBRnCyeIgcyegu0g6l5baHZ8BerLLGNmqyiOaE9 lUpmsFPZn/ksNRWDWzQlz59TVSIYnmRKWyDGvCCTH+JXzo1iSsodMm1PIyBL013AADgDG6p7UCE4 yPJYVZhPGRIOpkzXZ0nYtLTjcG0JpwcryX1ksSlEJOy9DLYWKz5L2s3GW9PrHgmiYhcxFiV6sCaJ 5Fg12b1tnPEb9lBDmDPVcxyazXjddhSwZ2XxsuBGxOZeIiz5nl7fXp5+/4Haz8EGJ5JyyytGRKNV 3zuLTKr79oheGFrogTNI71XT+7H6qHyuGpuQ2t7Vx8rO7qK+KIlqPS21AKEOu0EGulLBIVX30LR1 fZd61JYL5VGMr9mxKs7nWVyR9jNK0TbVE3+nttvIoI1vycxycqVFdK85Xc8o5aoCP0PXdfV3Zelh CcrqUU/nsn13II1h5A/C0VG2WUS3RnZ3keHIM5W25+S2dZnTr4uIsC2Y3LWN8LWpPoFQqpiAC0hf 7sLQoW4vUuFdU0WJxvG7FX2L2MWYBsWy8aOqkF7sNtZps0NlcSjmekf6JnMHV8bCGvsZCtoiRMwd jiP1KWJXUnamUhksIFLpyrIBZVWtFDpnp4LkpeFio2r6xV2npRlnQlscsEc0PXEz+kwmqZJaBpKw 0i594RNFeO5iNZFu16exJXVLQh/rUoWJIeuAoEKHz5NL6S86Se7RViPsVCYWtwCpvrQ45alyId6l 3tW2p/fxUc9xOaAOVXWQVaES6niKLmlGorLQW3cdjRo8due5csnVjmBHp7Mc6dmBVpMB/GxJq9jZ iugb8YxZWb9O7xS/FVcmq4iac5org1GcC5sHMLu1hJhkt3eUgkT+EHwlKiuFL4q8W/WW9FCAW/M7 kA3LLovo/eVKe7K4UZngloXhGl0L6chnt+w+DFfG+y9dczUw81Qa+r5Z+VfOI16SpQXN0MVdo9xu 8bfrWCZkn0Z5eeVzZdQOH5u3DAGiLygs9EPvyqkIf6ZNpgpBzLOw07mzJCWXq2uqsiro1V+qbc9A gsFE3yXIfZjVpNePXLOG0N866pbp3V6f4fKcJZmyb3NdVkIb9EkFq1ulxWgLZFvqUFd15fwYEmAL PwXVoAqERuBAsuK7FC2199kV4btOSxbBX+TAfxgfEaZaP+SRb9PdfsitkgzUie8ANvQHMjeu3JAT mm0UihD2IUbrIFsCjaa4yhRNonStCZzVFa5Hr7M2VQ7RyBIQN3T9reU+jai2opdKE7rB9lojylR5 qZJxGMGpIVEsKuBcV1x5GR5AFvNUuWSafqCrrHK4nsE/VflssZoEOLoxxNeugywT+iFJm731HJ8y N1RKqa9sGdtaItEAyt1emWhWMIU30jqLXVt9QLt1XYs0jsjVtd2UVTEqpDr6vs1afmAo3WsLzIB7 fepOpbpf1PVdAUxsE/sOFnvsGANeWZQ8ZXa60oi7sqq15+DkEvddfqBTDEtl2/R4apXNVECulFJL ZOjpdOHZfZkl3mlL6yqlOs/qSQA/++aYWdyNEIvhNGI6MrpU7SW7L1WtuYD0l7WN4SYC/9rdVRiP ypUP5qRRl9m3zoEmz2GsbTT7JKG5AeSh2sIn6Bm+swaIKoSrHWrIaa3G8c7m+V7nlgSrdW15v6Qv SxgsRwROM7SniIILGz0YiLyFC4pFH4PoOj1ETLdqlPBNm4fumh6ZGU/rDxCPcmdoOZcRD/9seglE Hxl9HCEuq4/0PnPR9ukxYE1/SSgFGpLPKr9CP0eTIvRcapNXyqmqdjJqhoxd0xdcjrFaeAJ2ay23 ve2PFjaIoybfupYYbFA0uKX3nqhZry2ZkC9ZHniutUbXodt5iUs/IL161MEs1JsRB1i+tQnitWPY vBK10voyixZr5QsTHRqL1kK2DQiRe/r4kFtjqGuirKE8EOQyhtogqy+ebTNGnGfDXfLVNljbcP52 ZcVdsj11xunNbEBYUg74Cq2+6Y05bQqLd2W9Xg0xP2l0k7GCjKkvN4fQMMB+nTZtRH90RPYtnKJo LkefCjgQlseF4pKH1EO40qoUbnDaVlMAMzsune0RcX86SziLJgJx3hLOXqfj28u5a+rmLPewiXS9 XtN6HSkZKMXMqww/Y0KalQVuQ1QKGB5xgBlVbT3LUT5g2SLWkhEGsRvPjxaxlru26ERoSTI7fHcB CwfUwnexv/QkIxYuzTbkJQyvTRZTBFr42W/J9y25kBoqOb643lWmUOXmS+56a1rbjiiLtAEomyBy yXVNHtGG+7skMkSv+wRaTzcFUa7bUGpAuVr+opWWqhr+Q1viGcLdYeklOAURu7CM3qFGobEpk4zx T1puBA2I7NquLryxvmEG4pvLE8bC+smMwfvPm7dnoH68efs8UhFhIi7k/YUrXbjhidXJdEAvOpkW Hb4o0heB029Zy059ard5gZHTgzxTgZ/m448l5F3srGbkOBd9rfm9Dn5G33+8WZ1ktHBh/KcWWEzA 9nt0ZVYDMAoMBnYWrtoKmPGYjrdKMACBKaK2yboBw9t4en18+fLw7ZMl5O1QrDqxlI5vLQh+q+6I dqRnEihimEgjZIuZJQrcpne7SkScGeAjBET1er0OQytmS2Ha253CehPmQ+s6louPQmORqyUazw2u 0CRDGPMmCGnJa6LMb28tLtMTCYaYu07BuYVUb05kbRwFKzcgRwdw4cqlzoeJRHAXMeZ5Efqeb0H4 Pvk92F02/prSQM4kMaOL1o3r0Xv0RFOml5bU/00UGDofTwlGtHtWYRojXeXJPmPHOQiFUbatLtEl uiObDrVene628Pq2OsVHgCx1oNM5XVrM9HY3rmXMrkvf5wQJz+lG6bQHNDaOxU2aSlYkEhCd92oM 2qq+IcgUUbIJN1uyCQoZ3hP7gjQkUOhOwP5ZF2cN3aDdCa5Vrm9rDUd715uDb3BVmfZZXIZrZ32l UfFdGLfFwXUd23fju7ZltfHqaKVcaeEQKArhoEt+Lrkro7qhtxKZ7hgVNTtmlqdQmTJNW1qzoRAd ohy9VtIms+iDFeou9m2aO5luEAeujNuhqpKssw3IMUvSlNLPyURZngF3WOtgAbuD29O1dpzKe8vE pbft3nO9je0DKa0wVkkquu5LhE9XF90LwCQBrrk64rBju3BrozdehTBma4e8AihUBXPdFd1uWPV7 dHbK6pWt3QX/cW3uyrTLLGNT3G5cz7J/pSWP/2WZsARktnbdOYGtbfzvBgMJXR0r/vclo0V5pU18 e7vS30vShpuuU730FQI4kN2OxnHNc1XUFctaC68iiVjOdnwdlUrGER3vF3Zc1i4g0/bU7CyTifiF NYbopIj7lsWus/D5hkMWCJJJmWFrBEbyivL+SkWHqq1qO/o3TCdjmUI+FLYFz5FeZkfe36H9Q7ZU d4uxZlZrkU7AQrSwrngdEbtbGAH+dwZitPVEhoniBwalQdXoPMfpFs5FQWHZZwRyQyObopcFPGXT z/I0SmyNZ3A9f8+GylrXs1jPqmTF3hJdUiHrwmBNGx0qXa5ZsHY2FitqifA+bQPPo0LiKFSa05Uy gNWxGGQr60RnH9jaosQZxNmMUar3psh0aYiDNPGHw1hBv+Zx5J6M+sNRXjLEPjFq3JPvRwPK05q0 9x2zAp+eKYG0TOOAVOROfs0+Prx84tEVs1+qGz0IRNrIK5WIcadR8J99FjorTwfC/6vR8AQ4bkMv 3qhirsDUUaNdd1R0nNXM+Eqe7QgoZnoy6h9M3oGcHLDhK8wrtKycaiVN3IsPagXFrZpRdognbdAO UZGqQzNC+pKt10pQ1AmT09M84dPi5Dq3tLw1Ee0LQyQbXDEorpjj2xCqK6EY+vzw8vARU4kbEcS0 HDxnakhPZdZtw75uVSsM8fjGwUShnEfbxbiYGF10VB6xx5enhy9mhhxxkYAzpsnvYtmRYUCEnhqU awL2SVo3aA2d4u1/DLtE0Iloiwo3jCg3WK+dqD9HACotu7JMv8fHM+rtSCaKhQOZpTGK16eESLuo sTWz4GI49YIqU5VNj8l32K8rCtuABJwV6URCfijtUNVLqp2Ukb/AqrY1NqFU6kpLWi8MO3oU8ppZ ZrHIJlYqn7/9jDD4AOcpHj2ICAk1FMce5yAE25ulnjwS0DqXv8nh8QYYi+Oyqy1ga00gwwYZQzGf bMWEXiio3A8GLMz1Lm2SSM2DNSCHjfa3Njro6ZpIQiQyviDh8DLJg2YbrCcT7aJT0sBy/dV11yCn LVDaxgoNYsm2jAhrSeF8ZIwDnBWx6e5pEsHSEv1zNWRTe8a3ADavxTkazIDdsxy4nOzFjJL6obeZ E2XlPk87a6qtgRS3jXvXp1XWIxfVuhvw6O+v7tdaU4u4baZsKXqdpYiGldBRhCadqziACKg4DMy5 xGx7st9PdV9p5ukY8bZtabMQHrgCpPmS2r+P5zHo81w/wpS4mAjoZC3pACDfyIax4G9kFgOuKRAP 1SKOkJuTE3tIXStvNoMLMcE8WV1kICKWSW57PKuL3WBGJyxE9hHpyHO8gOxWJnIw0AnEI+yDIFWk yovbjOcWMrSVyUQTkYENZvwh1TKRzagzmdZAxut5e6K6RsdNMuFaVd7JgZaLS3TWgmX8CbuY8Zwz zkwcbvzgTz2hEAhG+qKBQdfCGc+IWzGUY+mzFgoUpOjl8Ohnqz/fsSafBIBFDvExxdgOOJfSTTCG fzU96zKY02VMv8ILqEkGR9dkT0ag0MKnTGWpUMaWp3PVqr4kiC7JKyZiDMs1BI7fsJRRFjwC4man As4tZsVpqu5Orxobylrfv6+9lV2HkOaxJTRHl+X53ZgjaMxqYkj0Mj+ICWlOmHOpthiOyEQYEE/k ADDfw6G95jO4EjA0rjM+ERUI4odMniaE8nctnh5d3oi8mKslI/JBCpFHKKUGNEdwcaLsVhAzZDrA +4b6fVaIoZNAUX6odrI6cwTWcTRKl9jv6bKFgeznQRjyotxAzQD//Pz6RidyUSrP3LW/1r8IwMAn gJ0OLJLNOqBgPVuFoacP0+DjTW/xAt8XNXUH5sstdFz1W5kSA1NACm386izrViqo5HokjwRCw7fh Wm+48JmCzZFmWj6fGdy9txbTR4EPfOqdYkBug05t0Fn2VB8ANXeY4BON7E2ZzPDq4sK0yOEr5q/X t8evN79jAgRR9Oanr8AoX/66efz6++OnT4+fbn4ZqH6Ge8zHz0/f/6myTAxsa5wSiEhSTIMpAqcN EYesgyHTWuyVkSw9eI5tJaZFetamkGoV16uIlJRZ+RvP8GCp8DYt6jxRa6y0R3vOUHFEhFQSs1go mnSETc4KwirqT9gav4HgCqhfxDp9+PTw/c22PpOsQmuvk6fVmuSl1nciVwSCm2pXtfvT/X1fsczi yQtkbVSxHk56O0FW3lnMpAVr1hgqS1jW8J5Wb5+hU3M3JZaTg8ZyISWKd/IZYt3iNCanE5xxVC6k IR00RN82ORejUlr9cWcS3IuvkFiDPEvnlVTOt3iV1WRIr1p2rj0y9YdyoglVLZMTh0050zj4yxMG 5pZyCvLAa5Gc/qRWs9dRCUHFkVOzsT5Kz4EF4zxDl9ZbLraRPZaouIbuGtHA75RsOxMNG8LUyj8w j8zD2/OLeWy2NfTh+eP/mEIFoHp3HYY9l4OmlSzsGwf/HTR6K9P2UjW33CEL+wmXzKLGmFeSoePD p09PaP4IOwD/2uv/Z/sOKg2kuVBxt6rRoIbNkjb0ap+2bDRpY0vmQ5XwXFxIvjYHTqoiK/EiTt2y YWKEkk4FwE7NWp42Ns8KkITWridT9Gp2mbEQXIN1j3WxGC23H17VGGdZhg2pkTQotx5zpj28ePz6 /PLXzdeH79/htOSfII5h0dwiqSkW5cjkEtWKmpJDUdFKK+GlBpIHrEyXycwjOrELA7bpdGha3gtz EBl67sL12miZOMnsbUPhbR/T4RkXxkwsP2CcnwcsviAsjup+44YhJW+Lrreh3h+mRkMaYb7NvZUT XLISg9YtEDA3iFchvSqW+jNJYxz6+Od32D1I7hEWqbaOCrZ0KGb1jHkW0EFhpH4G5JntmgzuMKD3 4XrTGcXaOou9UPfikk47rXdi7ewTs9fKolAEGw76LSrv+7bNNbAurnFgXocb32xrE6/bdUi9vYqu kNrooZcsWG9dSm4XTKDZuEzAtT4xANxuV7KcQwzGlIhzcZCGa5T2gV0bdsa8531W6VtBTSwHnssV fVXdwM7xPBkupyITqYihTmLfczu5n0R/hLk4iJNXlsAsV5JsRtSgdh9OrlM9J4W+SGN2cVETOW7q 7s//eRqkzeIBbj/ymANlgTYyDTdKrjqljgGTMG+1dWwY9SYs49wLtYfPFPqVZsawA52Jg+iJ3EP2 5eHfj2rnhGiMcc4KpQMCzjR96YTAjpF2qSpFSNQpEOitlaCHhoXC9W1FAwtCNf2QUaFD38yV4uT1 XKVwLV/2rV8GVB83tDyr0tEp22SatUO6R0kUm9ChW7gJLU0PU2dlHbXU3Swx2cBMksTHU3VHZ+rh XeB4tgFJsJ2B+P+t8vA0Jf6uc0V5KcOtoaoVIp6LTakiiQQFOeZwXIZbb21SjGPEd33uXXSSnlQH MC+lQvFpfYBKmlXWLrQBL2MHHEyQAhzS5ncXtbAR3PHZDRSDGBlDxjFXCCTGUOAeVSXbWWJ7Ds21 4cfyuw/epiOduKdvR1tXPj2jrvbwGiI+QLUJjYU3WpgbGxFtvKMQeRaxcOwiSEQwIz4lTowkGavx Y3MnRgTnLMc3ESi5qHbZI8ZyiZlrxIhRDVUyb/1gTXGO1Bp3td5szObANK3cdUfVylFberBlGm9N OdbKFBtZ8ywh1qF8lE6cVez81cbk1UN0OqTQ19jbrghWHp9uzQqbdrtaSy0YNwn5J0ggiQ4a1EXi xilMPkSMduLCMqXj22Xt6XBqKB8Cg0ZijwmXbFayAbsCDyl44TqeGo5fQdme3WWaYKmxnGJr+bJv /bK72Vz78tazLOWZpoVev4eGYn6FIvCoHgCCzKnIEWuya8zfUBvtjI83gWU+uqzfRyVKoyBdWoIY DbS3IUZBXfjOresgBfWdfVS466P1TJsTR9Z5yoqY7uXOGi9qIqlTi4XWQNB2NTkO/Kn4SvcSFngO WRgu497SbCdpnsMWUpizmq1vMZo2OWQbFwRHKnaqTBF6+4NZ7X6z9jdrRiBYfCwS8nMtSPanNmpJ t+OR6pCv3ZARHQGE55AIEA8i6oOAsBmzCoJjdgxcf3nGs/Wa9L8Z8ahXH3hSL6moakbob/GKWJTA to3rUalR86xM4QSk+icOheWtTtBsrA/gCh0ZYU2igDOT5G1EeS51WVIoPM9aeHW1cEAuDIFaWhko BAROsDZHlmPcLVUtRwWUbkqm2G4sZX13c4WrMO9qYHG8VWh82pVSobFIfQrNemlqOcVSbyzy0EQU 175zpTdtHJDhaKY60nLvubsiNm8z02QXASWVzugNIVoAlJh7gJLdBfjSrOdFSC1RuAKRUPIsBTgl Oc7oLfmJLbFrANSnP7Fde/7SaHMKWZ5UEcSICZsqchEiauUtCz5lGwsdTMZaS1KHiTRuYe0tzTRS bKhpBQTcCImRQsRW1QRMqDouNuSVbe7fPlxvpcGqVeOWiY4Go1zo0XLVLs37em8J2zweI7uij/f7 2mYgP1CVrD41mLjsGmHjr70raxVoQiewJN2aaGq2XllcWCcilgeh6y/zuwfXzYDgRDyRNqH14Nug hu1wyiPa5kGi9UOXHP3haFjuJxB5zobUnakk9NEo9s9w6XhDktVqRax6vE4HITkEdZfC4bXUqrZm K2dFn7mAW/vBhgoZMZKc4mSrRViXUbbwaSNNl9QpCDQLH7jPA9chOs2OLT1dgLjCt0Dh/3mNIl6S FgYzJ7NVSZHCoU6eGWkRuyvS9U2i8FyHOCMAEVw8h9iHMQbtalMsYLbkzArszt8urTkQ0dcBd3oo CtXrR8J7hPDKEX5Afrht2YZUx8xNK4KAvl4mseuFSUjGTJmJ2Cb0yMUQwTCGi/ejrIw8h7jOI1x1 75jgvkdfaNt4s3SytsciXpPLpi1q11laEZyAPNA5hlagSyTabkwQWHpU1Gt3iX8xMm5cn+hrDiCD MCAvYOfWpcODzgShRytTLqG/2fhkkkaJInQTs0GI2FoRHnk35SjapEQhWdrHgSCHnV7LQ64gAzoZ +UwDq+64J1sOmPS4J6vmevmlescH20XLymkxoWGxXXE/kbW3jkseQFzMi1RTbwHC1FBthiFzKA3A SJQWaXNIS/RxxFZU+/2cvtnRiTWt5gi+NBmPvNO3jZLLdcQnqTCaPFSYuT6t+0vGUqrFMuE+yho4 QSJbNBeiCDq3YpAxS1DFsYi9doJwsb1IsIvKA/+/KxXNjaNqwlQxUUvmgvz29vgFDb5evlJOpdzR RMxdnEfyliEwrIr7pIU9tmJ7zVVBJZgZaWZcoPBXTkd8ferAQDIWJ1/4FuvSOhIfFZae3H6pQZhe xaI2PiaVpDgbIUbuyAlRVpforjpRFlUTjfAi4p4DQxbyhPgExuPiRnpQ268O8SluHWbM6+Xh7ePn T89/3NQvj29PXx+ff7zdHJ6hX9+e9biFQz2Y0Fx8BhnKXqEtbB2r9q08VtMXkmjrBP6EIoaEU3hk 4VmVQJWXye6dYLtMdEmiFmPB0EjxIrrQyuF11GSHIV471fz7LGvwhXqxXUPyrsURuhDfRVWP39Ef hsk8LVUYxR9OmHAVhkMuxjPHY04+fZxGfJ4V6IZhlAP4xnVc6/Cmu7iHy9vKUi9XX4dGc1iNQfhB TKOeFRlUuc/aOqY5Jz01FdWTeW/ZbaBuO7aIGPmiHu1hq9UamgW+46RsZ+lelqKILsqMIOiUUQvC pswRtcVqGHXRrrfXqws3KuRYk8NyrIGqLwvMnB1Xlky3wmLNmI0YQ9haujgYyCtN4Mok19frKc+W GQ0cfZRgjkFccoyW7OKNt7I1BcRbg0HxLjVaUlrnHIn8zW4jhpI+5T8UcI+3fBhla6X5oxSotwbg 4Wazt29GIVz6FvCYdeje3g1YGGkNV8LFTVeciEWaGdOTbR3fPkhlFm8cN7QMAbpKR56r19mJKFzG qVLH2c+/P7w+fprPl/jh5ZN0rGAwlJg4gpNWRIAY7fOuVAMUVDUMI3NVjGU7xdddjvGEJGzwxZBL xRkGe6dLj1itliSrFsqMaBUq3FKxQh5HgS6qEpE41X92FxcRUReCNSLRYMzNPlPPxigyBW2uMlGw ypJIACnmDhA8JVNgxpo+LkqjFVI3rVWkUgze4seXt6d//fj2EZ0cxpAvhvxb7BNDyOMwtl5b4gEg Gt/YLc6DdZHFwl6aTErES0etF24cTZ5GDHRjvXW6Tm/OLtmuN25xoUIV8xq72nM6tS4B0yNDIaZA N1Y64zJvPYprviUlABRH9NqzvlJOJNT9e0TKxg4TzDdgivUVhwmjbLU7sYsp06wNOrbok8aymFKb IBIKCvttpVqxf344Rc3t5L5HVJDXserjgADNzH++KvHxjY9tgn5slvER1EOAF6JJiOE3/6vlhyA6 ah0fWOBRGghEcgP3uACxoVLHXTdxR1gY1kXoOBRwrX+VgwPSZlRw5GT9pXFqt9kEFmXPRBBasp8M BOHWoRSsE9YzWsvBpFZ2xoZGoTagNbkcOV5z1NFSnBUlOEr3KmS09JOFLwFBjazclgluYVhev2Qa L4PbtUMaE3Kk8FzQy7A0tkXy5ehstQk6co9lxZpUgnLc7V0IHGGsdZTgqGvLrls7jvGVaOe7A9j2 nTsWqw/YCG2zPip8f91hpEQYXit35bW/XWA+tKQMaVXw8Jm8sKQtwSmP8sKS2wV9QVxnbYlmyEMd 0uq+IQqi0WEOD2mHi5mAtDkZe2L4u0zlwsC27kefFrLY1l0+ZIAIth/fEpj3kq8c35x7mQDzUS7k voVPYBqOjb9Mkxf+2rpoaH8ejuEXDUsxw+2NH+hNdl+VkT4mcnOLcKVvyLpb0AxTY1SMcP3EHbQi FK3uRLQkcY1Fp2fgubYJNAlwBmKfdSmMSpW3mnnVTIIxa048GlnJTgVpVzgTozaVK1MncrpSOLYO NPcqNOoxOKOiuA1D2ZxJQiVrfxuSGCEd0g0SQh3JizPRKEUuNluXwhSM55L94RiXnKCoBHl5TXZV vZnM8IzlW18VFRQk3KxdKk7RTITb74ZsD8eQvePW7Z0NQ/cA7RKUtBsqKtgEFIoSalTsmtwAFJow WG2tFYRBQO3IKo2Qb2iUesBqyC19cklUdRiSqSwkEhCKXJf+yILzgkS0P92nLr286nMYOoFlpXAk 6XGi0Wzpui8FBeY5kYfgB8RHCe9OgmoUbq6R5Ye1ns3TIELrEDfwLfOI56jnX2EScbbLiUx0nCow aFjXp97JNaItvaFMhxNRuTh4royROPEWvz8dVCNGyKuzKyYAMHPQ9DvPmlgh54pUka90vNBhRvUJ ISdfyjgTjBha84wkAUUyE/x2lmuf4RhsjUZE5V1FY45RU1uaWsAJeLtLltvSFTVZcSY8UOghKIqF SvmYYgQ9NacdRjjLYOaKqrWEP2kwFb0NldnyK45tbaKLDQ8DoYWUUUq3IChk1tk0g93K2CH4mpUV Uoz1SW8ZOHttk0bFvSXnZNaMwQGW2pcdqqbOT4elHh5OUUmrhADbtlCUzMIAc5ZXVc1dZ1UWWMh7 glhLa6G+bld1fXKmHDd4ssnx5URR9H19/PT0cPPx+YXISCZKxVGBYVPnwgoWOp9XcCk42wiS7JC1 GC7WStFE6I5uQbKksaFi2EhsqIr74eSqeKrjYLCo6EPnLEl5wme5rACeV7kH39xhzM2I1CPNdHOb pLKaUlFgouS8kCxY0AhBvshKnlizPJDuJYIUddLsNs3TVjYaEbj2VMp+rbxNRVp48K9XA30iZn8p RShMuY7daY8xTAhoUsB8SdcQGF5Ds4CwoogoByFElbJjMaeNOhifqMaMsr+6gYzC9ESoFeSDwvSP JGlxwiRCMVp3wFpjDP6PHmEkP+WpJTRSwVcIYYIh2AnTV9ifJAUNnxFt8Yl19/D97Qe19IbZuoCg uzLm8BKEZDW/PHx7+PL8x017pmI4icLZuT0vsNkx7bIThkCFQbWz90BVNZnJYUW300FJ67v8fmBt 8i+f//r95enTYsvjjrScHJHeOvRc/ctxF4bz0TvD+l0OGy/szIm8+Ur4pZ2BExR1ejDL7tpQjyaj 4FkUbVxLKgeJQrXWlrnw6Y+nt4cvOE74IhSJuHMKVyIzR+eNa/GtRPTulBzS1q6c4TReDOs/T7u4 qq1vWEgI52Nb0RI5X4YFtIR+D+KlW1oLJXAWBWFUjvFfrWXLg03e4Y1Kdk0GY2AlYEWmZ16d98Up ctPwtMYMrov2IPbEGbHVDxYtCwxgdb7EL09b9fRhrfS8l/MQy7nNJm9gtmN/Til3ZvwWj21g/dA5 g//az78MmkEVQsGWVkwKXlIHliTEY/9dhCg6LBGKpBFiu3n8dFMU8S/40jxGc1TtRgvGn6GhHuop UYgw0zkly+ZCuMlWG5v2aSJwaXbHA6ZoQosrAs9UxXYWoZDXDUdoxv9a+j7cdWhBXMLTqxxbcJva lhtimwivJiX9fd69aGvxsRFfb9NovbG4sAztg21z4wTHxUr2QWjxlR0oJp3zApHQbBt81D7++fB6 k317fXv58ZWHUUTC8M+bfTHIDjc/sfaG22L8k5cYlL9/r6DGs/unl8cLRnH5KUvT9Mb1t6t/Wk+F fQZXppZi3+kM9Vdup5+X7XmIuCmddvFd3aQgUUGVBUaAtdUJUqGnvdbPcEJI5nDYv6pa31Q5BgVM FN+zA1lfEeV5FdsKMr2QOGtXgQXcn8+qyPLw7ePTly8PL3/NcXfffnyD//439Pvb6zP+8eR9hF/f n/775l8vz9/eYI5f/2nKjHiDaM48oDQDOT22S45R20byG/kgxDX8IvF1DkOXfvv4/Ik35dPj+NfQ KB7Y8pmHcv38+OU7/AcjAk+RRKMfn56epVLfX54/Pr5OBb8+/anYfYw8EZ2Up+4BnESblW/cfAC8 DWXXrwGcYnbhNXFKcoxHb3jDOcdqn9ZfDbzMfF8OWzVC177s9jlDc9+LiHbkZ99zoiz2fFoBIMhO SQRCHb2zCIpLEW42lFnHjPa3xHlZextW1NR7xMCqqNXatXsQR6fYlk3Cpuk0pWhg7kALSMiJzk+f Hp/lcvoNdePK/r+TuOtuCeDaWFMADAzgLXO0PKbD5OZhcN4EAe1sKy1S8qlWxnfEnJ7rtbuyDynH r01mPdcbxzFZ++KFqsftCN9uSW85CR3QxRY6da47X8RPkOYMV+mDsoj12eNjIccNle5MK622x28L nLNxPcpOQ8KHxurirKO+yskI+6JAvL8yeI6DVY/wAXEbhqSH0DC0RxZ6ztTb+OHr48vDsEdKqcu0 SquzF6zsE4LoNbFwER4u7V+cgL4WjQR6OAODYB1YQtWPBJuNR8ucE8Fy3zYBNW9YryW4z0iwXar3 zILAM5QaRbstXPXBa0K0rru0uQLF2bEYFc4UtpwFA/M2ju/UsSWghaBpfluvStfYOXNgIdM+cmTW dTiv1/2Xh9fPdl6LktoN1vZNA+0lAmJCAB6sAsuO/vQVDvR/P6JkOZ37+vFVJzBfvktrsWWa0JR7 ufjwi/jWx2f4GMgOaMUwfss4fDZr78jGEYEr2g2Xocy24e0Nfc61LULIY0+vHx9BFPv2+IxZMlSp Rl/1G98xNpFi7W22xFAaVjNSLNz/hYgl+lhnehPnFFg6TpX+Rm2tGJcfr2/PX5/+zyNqf4TgaUqW vAQmMajJhGMyEUhlLk99+NWCDT35hddAygeKWa9sXaBht2Go2ivKaH7To1eqSUcaDUpURevpNsEa lnzhNYh8ui+A82SpRsO5vmUMPrSu41qGtos9xwttuLXjWMutrLiiy6HgmlkHguM39lvIQBavVixU fbcVPK7WwGL7bTAIqcyVyfax47iWEeQ4bwFnbeTwcerlXSZL7aO5j0Fsso10GDYsgKLGi9Tw9VO0 dRxLp1jmuesNjcvaretbObkJ6Rwr2iT7jtvsLSxZuIkLA7eyDCrH7xxMjP113r6oLUneq14fb1CR vh+vwuOdk788vr7Brvnw8unmp9eHN9jNn94e/znfmueNnOtj250TbrfzVjUAeXANDXh2ts6fBNA1 KQO4QZikAcohChAXSNeN922t9R95Eon/9+bt8QUOvzfMaWjtR9J0t2rV424Ze0mitSTD1aQ1pAzD 1cajgP7YPAD9zN4zqCD/r1x9VDjQ87UvtL6rffQ+h6H3AwqoT9P66MJl3pwRT36bGSfUoSbUM6ee zx019Y4xviHILeagO04YmKReoE39OWVut9XLD2sycY3mCpQYWvOrUH+n00cmE4viAQXcUNOlDwRw Tqd/h8G5otElzDfajzkmIv3TYrw2rsxi7c1P7+F4Vodok/nVgHVGR7wNMQ4A9Ah+8jUgLCxt+eTB CsMiE/1YaZ8uu9ZkO2D5NcHy/lqb1CTb4SAWOxocG+ANgklobUC3JnuJHmgLJ43JfdAPDG5JPDgq GgK6clMNfJ+4cGDgO3qVyBMfD1uedcpxyYQ6r4mGe+SE6NuNWPKb8aNRy+Cb5fPL2+ebCG7tTx8f vv1y+/zy+PDtpp1Z8JeYb8RJe7a2DGbacxxt+qtmjQFcTKCrM9kuhhuYvuvkh6T1fb3SAbrWobCl 6xOF7Oxo+1t0CteedBTPsB76R9GiNl2l5xW705rNWPL+RbvVJwqYMaT3Cs9hyifUo+e//tZ32xgd 5KjjbeVPx28yvIFLFd48f/vy1yCA/FLnuVorAKg9GroEe5qjDpqE2k73dpbGYw6u8fZ+86/nF3HS Gge8v+3uftPmvdwdPZ0XELY1YLU+8hymDQnaeK905uJAvbQAausLb3a+zpksPOQGuwJQP0iidgdS rm8u7yBYa7JU1sH1cq2xKxeRPYOXov3W8bVGHavmxPxII2Rx1XqpRpnmaZmOHBI/f/36/I0HL3n5 18PHx5uf0nLteJ77z8VkmuNe6BjSRu2NVbfPz19eMRsY8MHjl+fvN98e/2MV9k5FcdfvhfmTKjEb gjGv/PDy8P3z08dX0xwoOkgBZuAHhpXQAK0OKBIDECiaagQa+ZIlnEiYqVbCMqZXwTBjGv0Cj2g6 ZTJi0v0+i5XUu8IB89BKt6fzIeojOR/uAOCGYYf6xI3CZi0OINkla+Nj2lSUD18i50eBH32R1RkI QopZOsITGLBTN+aKpS0WkIzHkS/I5MoTmqX5Hq0pJK4C3G3Bhsyyxrd5KWhBwdq+reoqrw53fZPu 6VHGIntukkhGM5KoMA9vD7e6ZHq4Jbodp5SXFCLbVhs8APCn1To6oAN+latoTCY9d1ErR8EPadGz I9qvUFieMG968RweKm6ejWdNpUMi4S+IV5TDyEjAstyV7exGeNnVXGG1DTt9oBS0rqiXtIa2ZgrJ pikUdfAYt0kCq19toiS1WEQjGpa4Lb0tosvqdE4jyt6H92jrrrUhAEjPU+pi8uld+us//mGg46hu T03ap01TNURxzMTMTQVGAnUUkQR9yurWTA/96eXrL09AcJM8/v7jjz+evv1hTC4Wv/CarZ3mNHbr WpUEVrLFTGaiYxfY0jEokShQ7TAhrX1hqmVE4vMkeldbDieLpdRU7bCvLFPl1aXP0zNsrG0TxWld wS57pb3i++ddHpW3fXoGpnsPfXMqMU5WXxfkaiCmU53m+uX5X08gwR9+PGEO4+r72xOclA/oFCkd rDLXiBB03IzixOq0TH4FgcOgPKZR0+7SqOXnS3OOciQz6YBP06Jup5hiIGIZNHjqNOmHE9rG7U7s 7hJl7a8oGRuUDDbuqSqXIOD5RfMMOenU8F37V5cYraVRUXbHg5rji8PgjLGs9nNxOew7fYNFGJwl sXwo8425iNayPnSABQTMN4CnJNcbFjFKXcnP40N08PQa4qwBSbD/AOebXtOHjnaVQNyuio/W/mdN i8k465P6qToq0ykYX/L0+v3Lw1839cO3xy/G0cJJYUtm9Q62oDuQI9rqBF+MgY9Kcglo9cnfFQap RFtmjNKkWbjdvTx9+kNOB8cHmLtlZB380W2UnIIKNqll4dRet9rxtC2jc2YXig6F6518i/0OEnT6 +MgTs6s6/hhnk2HSQxTfafJEorNy48qPKANjqQBNlBVMQb+BcvLoHB2oNzU+Ih3a9uNZyc1mGTWP VYP5jPlC7zHE3K1GhVlwm6hMqknM2b88fH28+f3Hv/4FYkMyyQlDmT3cVooEM2fM9QCsrNpsfyeD pL8HqY/LgEqpJImV3zz24jllhN8PfneP1oR53sDRZyDiqr6Db0QGIitgAHd5phZhd4yuCxFkXYiQ 65qmCVtVNWl2KHs4C7KIEoPHLyoWhjgA6R4WcZr0slUbEsOVQslyjIMTxbd5djiq7S2qJB3kVrXq Nst5U9usPJBT+3lMlG5cSXHk+N6nVFgXnv4bhnBf9Zh0uypLMZLysMR3sEV5jsWGGAiihhL6EQGy MYykXmEGVxNa7gAkDJlLiduAOiFPKY0fAHL5dE+7GyB30/mgAHM8qPVieFC0PFWHjrkJj3mkLhnt ojuBdHetGWHLWDhTyEwiV9BkZ+pCjGO6kW0kAZCnobPehOpCihpYLBXuFLJdKPLfmNhU/poAwi03 z9MyO1H3VInqjrUZyDZ0HZbuDlhzpMy7isRV7Z2rRjmfgPPAWYua5XrShHbAHdTZRpBtchhtgo8Y Y/tXsBktUSN/k/oP5JO0gk0sU/fd27tG3X98cbTJNSKoj+I4pSWfkcIWAQbbVFVJVdFWFohuw8Cj 7JBwMwNpJC3VnS9qbrX9yNd5thDHlLInCSicfVGBlwxKDaXQxCeQqQul5kOq+CeOkD7Xx0yAD5R5 oIR11b2iYPHJGH2QZi3LdweST9euFEEZK5+TF6p8wcOuEHVhSEihz9k3FdxYSvWoLlJYcGVVqP1G Xbyn7WsDjLsfHrQDfsQp4Wk4J6PpkDYOG9eT5URSLuHH2u7h4/98efrj89vNf93kcTLGsjH0mYDr 4zxibHBnn7+HmNFpZ4ZO69VSasaj31cjLyqpKL11zgQidMU0STNiiAZCrpeZimfdu0LDw2BcctLB a6Zi0TFqIqqJelAi6etJHYZ6ClkFuaFPf6n/9rgiUlVmlJ0ZiaaIvkNteBrNlupCXofrNdk5KaqZ OeNaem2pvvPaczY55Ws8E+2SwHU2lmFr4i4u6bvcFVaX1NWYD0Di1WOiBkGBm1hFfsF4DhhrYNWp VBM8lAo/8aV4zBJz3R2VTKhZMqcEbpu0PLRHBdtEl/n3ySg7LzXxSvb98SO+xeGHDUEW6aMVRp1W 64ji5qTssBOw31M5Gzm6VnYoDvq/jD1Jc+NGr/fvV6hySg75Yu3ye5UDRVJSj7mZTWqZC8uxNRPX 2KMpL/Uy//4B3aTYCyDnEGcEgL03Gg2gAVlLr5QaLg4Uf1X9jpMbkdmFoNGgPLjFhBsBvw5MOSBh ykCU3kd5vQ5onSSi0yAMkuTA4kPlesVVqd9e2W2HuVrnWenkS+ih/GjGKdyGVnZp+CbJPGkV7PNN 7A3OOk7xETVT9HpVpt4XCb4ar2lxCQmgFqVG4QkO1C0cMbsgqfLCrXEr4p3MM8HEOMU2HUrOaoJo gY923VIFE2kFcZ+CJRMlFrHVTmQb8m6qu59JuCdaoRsQnoROSnIFjCMXkOXb3IHla9FuPKsdHRx/ FBSPPBOsVg6/EmWdLpO4CKIRvbCQZn09uSI+3W3iOJH8elQycQorxBvyFKa3ZKwfGn9YgXTArxwV MWZ9qQQRljmma+ApUCArY37rpnVSicsLOCMD2CImL6v4xu12Abdv4Eywb7h9VsRVkByyvT3vBfAt OJhIoKUVMuGEasNEs+XBSvQYMIhxGGkloxPhKIpSgGjlfgcM1YkKZCFTWWdruxXqyXwiMm/sZBUH 1J23xcFChBMsdngplF8k/nkCNxGOz6HCN5DC0mOcgfxSl2lQVp/yg1ubCee/roS704H5ydhlCdUG 2Enqwkq4S6UgmZgcxYQ6Gxc/qlEeaApJiYeK+wqB8afsmvYiS51Wfo7L3O1xB3N6a9X/+RCBYMBy aZ2yqdnUzspu4fry2P7yRIXEzSfZvc8gZJourr4jYZ0LxAftGzs2gr0thC+sdcUtTwAtXk5vp/sT mfZHPbZf0oWrl/TIOMmufFCFS3aWOTt7OylPohVcy4WW0dui7RBWqUaT8w1cT1E9msSt2tYQOvvg OjbwnNTP6j1wIVRQUJoqRNdJIZqlvfJ0YVnGBX1GPFwD4JQMZLMx2V9t5kKodWoDt+Qgy0BWD+Mm i3dd5LYPXjPhBJx+oHnPTtJwzriF+mUhnfHgYyGpIa5og3OLa3Yb4LiJYCzJHZWKmYNUuMlYSjwJ 1CSs41Ill6ADI6nR6Q23OvnZn6P/WGs5+/OnsT9Or2+DsPff8vIsqamczfdXV+1EWe3a4zIDONvw mCAwR2Bfj4ZXm4IqW8hiOJztL3y9ggGEz6mP88v11i3anu96OB75UJkshkOqjjMCmsqt8nKBLnzX c79Y/K5NgGFzOYBLJjReh1dRZNA0QvK8NmVW+HT3SryhVGskTJ1dViorvtuWXZSy7ajS0Ks9g6Pq fwZqbKq8RNXuw/EHuuINTt8HMpRi8Nf722CZ3OC2bWQ0eL772T1fuXt6PQ3+Og6+H48Px4f/hUKP Vkmb49MP5SD6jGH1Hr9/ObksvKOkxkQ836FzhOEYZO6JKLRCJisYSq1acOyhovBCr2no9oN9ACSY lYReJPh9bWoSNawLP21z1SgjZQXVZLU8ojJ0P9KI/AInUhTrACNYXSo8wpDWZZ6cDefF090bzMnz YP30fhwkdz+PL+fnSGoppgHM18PRCH+olpvImzxLDm5Do13Ih+sBJPXATI3KRoAAYFo0TWjjDq5i LfPZFQn0d6pGDNtiPB6lvsGUMzgwbOs7Sj3IHi1B6Q02Dige9PSerqWcj5wu6aiXHt9SUBVr/FKL W7JWIcU0tiVyFdwGKhBlGCw5ZHkzxjc5dAu1PulyzeFmbCajNzDq/N3EQUViMYKmtvfEviDUlV3A 6bKnUW2snnRBomMVyY7u1aqKBAwYH7ippdvCqUIFOTVIRBHcMrWQ8VHNFsIybDtOfd6h6bwwZm8W w5Ed79lGTseUechcX8oaxfWioGPkmiQ15XtpENzEBwnX/aaIvLPWpvigmEQKcq5v8qWAHRByQ5mG VVOPyLDUJhUaoLgScjmfM54/DtmCCSJhku3rC+JjS5QF2zTgZqVIRmMyDotBk1ditpjSu+M2DGp6 W90Cz8NbCImURVgs9lMaF6xoDoOIpgiiKHbFuo5zxSVcwUUJjEB6Mn5HdEiXOW0YNqg+2irKX+QT xiama9kDp8wpxYrJ1HbsrOQFo241adJM6GiwXAkho8kz24n3/SblpYmurUJulnnGnXPd2Mp66Apf 3WqoOMZSF9F8sbqaM6FFTD5Php/Fo9S+ITJqgTgVM27nAm40sxseRHXlL+2t9A+DJF7nFZsqW1Gw t5fu8AkP83A2dksODyrnMC+JRJ4+w7xT4ekE10ZHX6DMQxGIJnihNN+qILxJV6JZBbLChx2kO58a BwHX0uV27XHhhL8+VmhWhhv+ssTg+ZzAlO+CshS5d31x3bite6kEKUzdo1Zij872rsyH+trVzi3y AJTcgRZ/VgO49xYt3Ozx/6PpcE8FwFUkUoT4j/H0ypvQDjeZXU2Yz1FN28DUxNpV0pWDg1xqO5M5 o5XLZVHfq5Ts3orao/GQu0rHwTqJvdL28EcDzxuu+Pvn6+P93ZO+J9BSbLGxlleWF7q0MBZUjEV1 bcHbxHZpuvNVwWabI9Is6wzU0vry0Cl/Lsjh46uhqYa70AurRUrGd0exlfz5VxMuEXpwkhHJfUJp D36LxEFplMF5RGDb63KT1WmzrFcr9LAcGbN1fHn88ffxBXra64dc9thpYOqIuyCsS//61SlFHB3E PrDC36hb59b/GmFj5zBPsbyRDVtGYfuxfVWVrr61I6ZUjWk0nY5nfPfgMB2N5k7NLRBfcRGIhXPY rfOb2obE69GVt3z0w0dPx2CuTHLGPK0s/JPI4I4FrO8evh7fBj9ejhh06oQJbu9P3788fn1/uet0 p1ZpaGHgVX8Vba1TfW6ykD+h9AJlHuapZVdnKgL9BZIUPZoIjRC12yo8tXhxZn0pe4QmaPVnLEUY herRVi45E3c7KvkN4y2v8UGYNinf6bW2lF7AczYUjY2Wazqzh0bv4mUY8NOGlixfh2Qt0Y9XmMGv DwX5aFJVlYPUod+kuvsEUbJ99IrqaaKE1Ep8mYbNMsnDGwLUaf4XhhkRwxXXAZ2XAL5rj1+tAlPB r3X86w8V7fixk3EOQTLahIIANRgaOwxBDMxNz/geX7iflSDbb9q+n7vT07spXAmSIqlW9PQjzW4p ySwpOChilUIZbsWdEydbZLicMxH3EbtVmUzSlMnJiBQ1Bgxh0bXckLkLFSraiBmspSt7EMPbjZPE FoAbect1PJcbsQy8zLeASivKGp/GqYRLmLkYW4iTT/r4fHr5Kd8e778RaaS7T+pMXX/hslCbnq0p Jhg/L/q+VVLDfFuaUdnH67irXE16KomefFLK9awZL5zgWy2+hLOcGBs097UuES1EmcWU8yoFa5Tj ilmDwi1LFO0zvEBtdigcZ+vYNx6jNylxJ1QlBMxzYI2U49lkSvmZKbTKz3nlNUqBqU532NlkRH00 uxrS0UgVQREG106xNgGXRVqVjtlkJ36lAJ7yLS2m0/2esCSfsSPqqUmPHZMfkXfwFruYmrHf2umP txiiXyQOQg3IdO/V0cIvjgfSzMZ7p8Q2eSm6o9buKnQTmOpizFR+CkIkIdULNQJZceQA2+TdcqLf c9rdqMIA8+Px810l4fR6uL+wZHAhTv/h8TkG++GGyMwr7ewiZbr76+nx+7dfh78pWaBcLwetz/b7 d3zNT/iFDH7tvW1+Mzzd1fDgpTf1xiBN9pg/ne8BEMCI83h8A81jMxHOF8sLA6jTKLc7gGQr1cvj 168WzzTN+9Kf1dbuj2+bKR2IRZQDY9vklbNqOmwk5A1b/vlJ90d1EP5sFj4saraSAAT3rago11+L zk7Tanei9dnoPRkef7xhmKrXwZse2n5NZce3L49PbxghQsmZg19xBt7uXkAMdRfUeZzLIJPCeo9j d0/lbmOQRZDZKWosLFwAucAnTinoQU5rYu3hrCOSY2nRUCxFIuynXQL+ZiCSZJSsFkcBZj3M0elF hqXp9aVQntcQQs3SFZV+TIwvQpn7maLiHvvpNqTRfLZ3ao/n1hvDFjYd7b0WiMVoMZ/SV5mO4Ho+ pRR5Gj2+srlrC6VZn0bG46H1xF5B9+OFAxHTiUeFzZ25wHIxmvmUdqzaFjb0YfOxlaS2ChvrvS0C 0nA4mS2GixZz7ivilPxEDl+UBpzLFaCW9cr3s5KHLFS6rL5+uVNQ6+7Wfs5Uiqnw0nwbt0+xL5F1 ETzYDiARMDvGPdHphqHrrvetBpwsuMAH6fTlmDH24ms1KoeSgbbTgajoCnDIWuy1BXPpxFr0Nioo mbTFLjHJi512TsFFVtQVURkb0QWrUS2k6lJ6V5FXiRl5CoHOT7+LCpoxOhqNVe5FXKVb6dx1WjAz KAqJXuuydZ7sAyS0zoX3L6fX05e3webnj+PL79vB1/cj3IsIx9XNoYjLLbnQPipFFbM/fu8kKM9R FN80ejOHQMW7VQAp2Z2WNoGKa7Wtwo3zIZ7s1tNIAK4siQSpUJMVVBpHzohqw0G2nWf8GJAI/kMd tfEk0ypjnbHHpULDQV2pvqgcRR/RpYFPd+ZHalkitT0gsKuw/G5cnu2Ciy0+Oerbz7agI2zL4QcN FjFFZBYF/CJM7SlSyhsMJ6X1QW4zMa+yk6bTwG4C4KrFNk1rp8y6ypt9Yj2z6+pyltvBvOafy9wW bWSZdr0TS7lv57qMD8uaYoNwtVrrIA89qy2FTEeo7iNHEtZnHNHcsKySxfB6RN/fAQlnIfvdfDRe 0uu9XMyHXJlwwi5irj45HV0xqS2r2WzKZCJB1IxE6YfFduS07h3h3bf3HygFv56ejoPXH8fj/d9W 1gSawtB86nlovGd0Oura94eX0+ODyfoCFXWOmFErwSlGbgFeUan4dIH10AxRIexahJMctKvUEI6r uFlH6Xw0oa9omK4NnT0uqfQ7taQvXPcksOeLdYABXegTPxPQJ1kwzxV3IsHgwldKm0xS3Mj51dCf xvXd67fjGxXezsGYPY6TSBkCGU56mzAWkt2KHsP9YmakgPSFwW6Tpvou0U/1eWALUVhOtOkqUsdt w6SxDDdljjHQ2krpTZjGSRJk+f5MRrQpTG6QncOJeVMbwT8VuwIcRiuDOTMYnr7GI647+9s4qOHT 6f6bfrT/f6eXb/2h3H/Rvys3OVOHTIP99YTJVmSQSTEdTyiVmUMzHTL1AHJCJ3k0iMIojOdkNEeT SEWYhds9U1Oxo2PUMSNmyEg7WYiMVD3rj+Tp/eWeiOQDtcpS3Z+mRnAMgIJs40LVz8Y29ADlMonO lH2LqVrPauxAJEs7JkwRUkJFAMyoBGnYIRYwYjWV3Vp1uDw+n96OmC/Q7y4m/KwwbWRoNpb4Qpf0 4/n1K6XDLotUrnXQhLVyHCnd4IIWoRb5yZm1qzCOCnxLj2zWP4dA/PpV/nx9Oz4PclgTfz/++A2P mvvHL4/3hjFBnynPT6evAJan0OpHx/0JtP4Oz64H9jMfq8NsvJzuHu5Pz9x3JF4/e9gXf6xejsfX +zs4OG9PL+KWK+QjUq3O+m+65wrwcAp5+373BE1j207izfkKHe9Fffd4fHr8/o9XZncMCFg8+2Yb 1uTaoD4+yxr/ahUY+0udM6sypuxs8b4Ke1Vg/M8bSDDdGxjPOqWJm2BfYKIMU8OjESsZAFemTYYt iWsjcPFaQw9/x5NriqO2ZMD/h5Pp3HCC6RHjscrs7pZcVBlmUeTLLKvF9XwceEXKdDo1LQktuPOe skx0uR2tQZDqxayyVEbwsxERLQohTlvqK9Kcj3jg/usit2V8hFd5TsWaUJ/E5cojR8Wty1V7sRkk CPqGYZlk4IdWXVoMfpdecNxCbFJIyepgegJCNLGolJFp4SdnE+WtinFsqRi6x6Euzpi9Au6STK/L WKp89ficPEnsx18atyzDVMK4wq+QkZU1YSVwyELC3lFsDgP5/ter2uv9NmwflbjufsswbW7yLFDe koikx2lzQGexZrTIUuUcSU2pSYOlWbMJSHX8ae9KthKDhq2kAvxwNLxyy9dcIPa8E9o5s8flXCA6 BIeBIZnqYsqgSJyMzz3C2q1REgPqE5P9ODQUb/DDc0sAUFL4z/qK4wt6zt19B44Kktzj2+mFWoeX yM6LLnASuUs3NHp/h5LLideU/prZCVlZVObC0hy1oGYpsggzChX0FBCXR7HMtpFI6e0ZBZS9IAO2 YnAP9dPnHy24SGGjRLYLlY4rtBu8vdzd4wtFT8snK8vICT9R01Oh0tZZlgQNauGopYAUyqPQLRpE NwxNHl54HGaQkSZDinClwmSTVHolu86C3ft2f2C6LuAF3Jp2LW4XOONqs9AKAPiqSddlRx5uaTOR otNRgnl8tKKOpyo+P9mDf1LimAk2hkvk9IVbJiJdMtF9lN9hqOOTMre8mnVNTL03oZ0NxBafdHRV DJitGZYZFzkMwk3c7PIyao2Olpo9SEQUVDD/cPYFpSTt14CDO5HJ9UA+GVlOzS2g2QdVVfpg9KvE 6I2Jj5JxWJeODRRw42ZFnYmAmTT21m1BfR38Z1xlE9bY+WkZWScT/ubDoEq4S6rhNgx5scCQ7dIa rTNQRcYn4HiFREtwbp/556L0OJNL5pMioFTJuhHP5u/bOq8MaXTvTFV/lQAEI7UhKs8wILO2arBE u4CxlyOSl93WKzlqGDNGHvrITlKpyq6/vfTSwuil4pPpvAW4gdel4xHhE5c1iPFBBnQNb9vU1Hxn NT6QMM/0aPfVxatmCyIaY2nNRMIOzWrkLEcFQAcpH+pv6Q5MrpMO2e0zrnY9svY+VgiRN95BZJWt HEu0ACVsB7au7i73hmAeyuEEkJICx6fwwuKyHA1rnZDzghxmkcRKneXYRlIQf9CZ7GBR0O2Js7A8 FJWlj7fAcEqu7VGUalnQQy/dMOmRCxAaoHysrGKDC2Z9xUV4DNqFlRpLHYUrenYVZVhZqwkNXCs5 4Xa/RjNrvMbof9buD70YQd0ZqE3mZDk5DGYSHJyl2kMxuprAIO5NRD7opiiDZBeoYOxJku+YYlEy pmUNgyiNYcjywpoUrQC6u//bCpovu1PJWCdaLsBtz0Rxbik2Qlb5umTeFXRUPE/rKHTOmIYNuKOo vBdVvcpX90n3L/q9zNM/om2khB5P5hEyv57Nrix29ilPRGxY2T8DkfUsK1p1s9zVSNeiXWly+ccq qP6I9/g3q+h2rByWmkr4zoJsXRL83fnPhXkUo4/An5PxnMKLHN9zwv3+z18eX0+LxfT69+EvFGFd rRxdmq6WVN10h4Ohubl4Zil0uSMn7eIw6avr6/H94TT4Qg2fkoIcPQ+CbtzLg4lEPUdl8G8FVKm6 0hxOZ9OJV6HCjUii0nQr0F9ggDSMgOU6DuuPilopXarSqOkmLjNzKrtLZnfrSAvvJ3XgaIRz6m7q NTDRpVlAC1J9sxSEylYXW24B+n/OsQ+bbRuUzqIn5uNctJDaTUxbg22OWKKXvseNe14dXcCteFys DjoOu+E/BJQOrccIYhfaurzQHB4VAodkUPK2DuSGQW73fJmpyGB1cMJveqH3BY+7zfaTi9gZjy2J Srt9gW/5jCWnfyMLQg+Vs1RmbWZNknzOz2ha1dfRTf4t3Sb8V5SLyehf0X2WVUQS2mRGHy8Pgu/z 5ZRwJvjl4fjl6e7t+ItHqNQ/XgFoECSG2Nfu2HhYu6aoBBt8yy2B+sLuKH15rD8m4gpTZpoMhDp+ EmP04Ec/EMYJ15eZyPMh2cAhSVdsEs1tIpJkPrWbcMYszLciDmbEYvjS5hxmxtYzG7IYtgV2BAoH R3seOES0E4RDRJnSHJJrponX4xmHYYf8esx1+HpyzXd4TkVoQBIQB3F9NQv22+GINO25NM4MBTIU wi2zq4zyGzHxThc7sDehHeKjzk25D7nJ6/BzuiHXNHg4ZuATBu7skZtcLJqSgNU2LEU3/NyJg9Qh wjipBGnQPBPAfbQ2M8+cMWUeVIIp9oD5NBi9fke0DuLkYt0YJ/nGr1iEGNklouoVWS0YA645EnT+ r46kqssbnZTFQLi3gyhhnpBnInRCWnb3rbzZ3ZpSpKWK1n4lx/v3l8e3n/7rAwzuZVaPv8/ZJtWl kDq3dDhYmEGkL0W2Ns6NZV9qJ1NjjOc4cqCtGqWHm21oog1m09Ix8km311bH1URpLJWhtSqFmc3N UDY7EOuW0BXTHpDGkY4MpcLQfLhRdIpjyxrkfNnsV6RP3ZmuCKxUF+hTpxI9ZzACqPBBXYL2wG4f O/bypEtG3/TzUimPtEmJsThBN0JVDIZH1YnjaMqu1RK2UlYzhpczEazum8skVZ7mB8pX4kwRFEUA zSrJQe6QGBKZfhDvk/KX5jMtJqcuyBiKZ5JDYAeh7TsdrNC6z0SMMKoIb6J8lzWJJJ19O/22Zafu gI0U6yzA+EuXPlWeuMbSF2Zglf+v7FiW28aRv+LKaQ+eKdtxPJ6t8oEiKYkrvsyHZPvCUmyNo0ok uyx5J5mv3+4GQTaIBpM97Gbc3QJBEOgX+gF/gFnqldgwOfeLJgrubs7P2LMAD+oghl44LiCBIJ2J NIyijHoS8+HaDdJhP2x3698O2+cPEhV+36ace0a8pkRw4Yjxlmg/nctJ3hbtKh+QOghvPhy+rLku jAQr+BbYkhxkj+T/RZIi9IKWwlwk2LSFpzqpCFBqjQm72kvk7+qV9wlWSISzbfJYJAJWXodN6BXx vWqxOWS39Plwu4YYG9BgP9GWYQ8DuDXnXrJ5wB8NekvA8qhrM9KAUEGgvCliU9x2SUd5gEUUeJJs h+N18+Hbev+Ewamn+H9PL3/vT3+sd2v4a/30ut2fHtZ/beAn26fT7f64eUaJeLp+fV2/7V7eTg+b b9v9+/fTw24NAxxfdi8/Xk4/v/71QYnQxeZtv/lGfTM3e7xw70UpqwJxst1vj9v1t+0/gx7SURph TSmMN0ozsy8doegyAXgFS991XGgr4imoME5anUElT0mj3W/UBSIO1YbuqhI2Cd2+sBtNkuaozikn 8duP1+PLySNWo+760LPQZCLG+xOPp8sY4AsbDsdHBNqk5cKP8jlvNTFA2D+Ze1w3Y0CbtODdQHqY SGi7G/TEnTPxXJNf5LlNDUB7BPRl2KSgooJaY4/bwo3L9hY1zPcXf4iZ86QqDToRt1Sz6fnFdVLH FiKtYxloT53+Eb5+Xc1DM1W2xTjKG+ptECX2YLO41u10MY3DwofpDHtK7lrn+fvnb9vH375ufpw8 0m5/xuZpP6xNXvDusy0ssHda6PsCLJgLrxb6RVDKd356tepiGV58+nT+p3U95b0fv2z2x+3j+rh5 Ogn3NHc43Sd/b49fTrzD4eVxS6hgfVxbL+Pz2vh62fxEmKQ/B+vBuzgDcXd//vHMkcqhz/AsKmGP jHyv8DZaiksx94AnLq3XnFCSAlZXP9gvMZE2jD+Vyk9qZGWfGl/Y6iEPImxhcbESHpdNHel5Cp3D JN3TuRMeDXJ9VZgpYnp5MUm3qmXDUk+8LIVVnK8PX1yLmHj2hp0nnrS0d6Mvs1Q/Uld72+fN4Wg/ rPA/XtiPU2AVIycjZSisbizxo7s7EgIDmYZdSBbhxcS4z+YYSbfpH1ednwXR1D41orzRp8Vm0cGl ABPoIjgRYYz/2tIoCQYtkBniSnKv9XjQt6XxPvKi+vqsKvXdAkpDKO1cmBIg5GYHGp+MoytQkCaZ bP9pCTErzsVSWi2erIFOoaHikfYx8MJSOnFh2TgqDTKKNFJb1z0FL60nkX3UvcK3dwMoZKtpJOwp jejrTg32qIfJgWYrsQ5VVqOcGwnExLhWzoX25Kf0r82+5t6DF0g7wYtL72Jkd2pJY28uozNZByxy o3qNCW/KMrxoPl1fSTNJJBdvp2/YYr5aZeIXaeGuD6LRahY6r/L1bXM4GEZFt8hT0+zWcuchs1jZ 9aV02OKHkRejGz3hR3gvZwmMAiywl91J+r77vHk7mW32mzdtCVknIC2jxs8LMfxKv1oxmel6FwJm LskghZGYK2EkSY4IC/ifCKsMhZgAkt9bWNSLG8l40Qg9BUmhJry2RMaOV0c8WCUnHVpD7uUkJ0cb 2crNtG/bz29rMBXfXt6P270g7ONo0nI6Aa6YkbWnAPVT8YhE6viy1r7SSIpobAmISlR7bTqJLSFc S1/Q2aOH8OZ8jGR8vr+i9fbvJWvJNrVDiM5X9o4Ol9jXYZDQa+HEj8rx8EQRT+3rhXenciNVgsk9 viNbfUiIL3V2Ofptkdj3pYaxjODWs5l6Cwd76/rPT98FC0sT+B+N6llD7NWFG6nHXto6njH6cupY L/2EpdR2k9G1FY9sLZTahXnT8M53lFjia55gR1y/md1JaofpSaQiw/1LMWReT+KWpqwnLVkfU9QT VnnCqYRH3n06+7PxQ7y8iHyM01CZEHy8fOGX11TaBfE4nDNbAkn/AIlRlnh/Iw/1h+pssHC01EWf e4gdblWIMMV548wiIYHP37wdMSsXDOYD1XA8bJ/36+P72+bk8cvm8et2/8wrfVEdD3YdVkTckWTj y5sPzMnc4sO7CjNz+hVzXUBkaeAV98PnydRq6L7dokisQzN/4aX1O02iFOdAFcCnWurETnFTeFFw 1eS3vd6iIc0kTH2Q94VRqAoTOOX47UkEFgCWDmMbWOdVgnGQ+vk9FiZKdLC1QBKHqQObhhjWGfFw GY2aRmmAdVSwhwK/lPGzIuAmGfYhpu4CEyxqyV4X95kX2wPnVNXaSATSqAG46x2KTUdUzfM8jky3 nw/8FPQbA3R+ZVLYhis8qqob81emjY3Gta4wZ7I7wgDTCCf3ck0fg0TWR4nAK1ZK2x38cuK4oQes I9AGME6EFKkEIrhzRHBayW81dCXQHZ2kNBReGmQJWzZhMB4q1682QoPQhj+gqgBanmkUPCjFZwDl 4X/9ZBHKRmZwHtzHR7mUZ8JD9/phCCyNf/eA4P736m/TF9vCKBk4t2kj7+rSAnpFIsGqORw/C4F1 iexxJ/5/+FdroY7v1b9bM3uI2NFkiAkgLkRM/MAvcBni7sE++zxiQO8oMHubMosztC13EhSDL67l H+DzGKoCaVOGyFEkWLNI8v4JDD5JRPC0ZPAJumj6USk/ZYmNwgywV5aZHwFXXIbwyQqPWWLI4oD1 8QRjBaLWfAZLRLjRbySlV6Z6lw3w+RmPzSAcImAIipng08HXoFp5QVA0VXN1aXD5tlIe+3pAqtrY Kvfm5q/1+7cjlhE7bp/fsbXWTt3Srd82axCk/2z+zYwvulh/CJtkcg877ebMQpTo6VNIzpI4Og8L jLVyNfowh4rkW0eTSMzf8ql+IKhOCTpXWEsIWiywTF15m+UsVpuYiRFKUOtiH9hq3nLBGGdGmQ38 e4yJprEZ1e/HDxjgw3ZgcYt2G3tEkkdGYVjMmy/wrqIqeL8ov7xAhcFQ5ijARx/SZVBm9tGdhRUW rc6mAd/V/DcNF64GoiLtgaeuZOi7GlYgJuj1dy7ZCURtsMM4NCKmsMJCFg/2Ot1Zr7yYmZElbPnE vGhQby+ufqc2Wlqfea+ulWWCvr5t98evJ2v45dNuc3i2A9dIo1zQOhgKoQJjPUn53lKFbmPBxxjU w7i7nf3DSXFbY+rSZbcnWtvCGuGynwXFWbRToS7jkoxo26cPupqoZooAD4sCCPjmp2ZW8D/QaidZ qV67XVvnenXOw+23zW/H7a5V0Q9E+qjgb/bqqme1niILhtl0tR8azlqGLUHblFUxRhSsvGIqa1+M alLJJY9nwQQTnqPckT4XpnQdndQYxYjcRPgA0wKWlxKjb87PLrrvi1s5B7GT6MKdvaYWegEN65Xy VdocCECbh6nDqYkl+1q9WqnyZzGnJ/EqLlqHGJqebgZtzDvPrJ7kbbezDCtKrEJvgawfk6VkI+5X 94SqrIiO3O2jPq3B5vP7M3UMj/aH49v7brM/8iYnHnoYwKYsbhkv7YFd4Ir6TDdn388lqq4/sxOH 18I16DIh2snmKpQDVqzUFdg3fMXwb8kLog2oelJ6bWI5Sj8vNrtFI1Zc3F9aLnPCmL/GLzEVFLO+ boymNv1gjBciPwItK0zLQZSqGgXx7hrA9Otslcr+FHKjZFGZpYZ4M+FNmrXp96ZxbtA426H1k8TE +hGSIgu8ynMp3Z2hXAV1wnQ/9bfVmr4F08iOrBn1VJU660gui+uJJpNVJ6Kw8nz5zmy/P+ixMRxa ++tpzMgUVWBZXbqUvBJ4YNBShWlgs8TBeEspVLU7FS1NVFS12T7dQDi5n6qiRpFsgzPKXgYTraeD DG0BLUl4nya58PDo9va2PvEEpjFuzq1Quf5sWU+dYx2xofuP6E+yl9fD6Un88vj1/VUx0fl6/8x1 Fex6gVF7WZbz/DQOxmIwNbtyUEjSD+vqhgXsltm0Qtd8jXu3gp2ZyTdIGDX+K3QK2cxrDPL1Snlb rG5BEoE8Chw36uRQVU8TGeL4QqkcBRBCT+/UNMvmcGoDD1UlAppKCsHouHH1SBrb3JS40IswzA0m 1zImsEeTvGtbh9NnHP1fh9ftHmON4M1278fN9w38x+b4+Pvvv/MOKpluUUZFoi09PS+weYNQr0Ih sHcgDZHCOrt8uOq+phIb1LT8E72BYI7zO592e7cVZi35I5OvVgoD3C1bmYkN7ZNWZZhYP1M3Tqat R/HxYW6f8xbhfBndiCUOXb/GlaaL1tGOFzQpOBxoabpES/++2rW5Y3bN/7EhOp8IZoSiwTmNPZ48 Q4yJkPyVSAmEdcOOdWEYwKZXTsMRDr5QUsvBsb4qveRpfVyfoELyiM57o3xpu4qRw71F5wKxAn+W d6dCUh2TaNDQozebSIw2JORBXBe11bN9wFAc7zF8qg/2SphWoDDabVkKvxZVKnXu/Fo4jH7trqOB SCy+ae0kg+In2w1JsMgBWRGdDLg453hrkyAwvBVrReh6xMarDhcJWLwyHQrBaDBNUDoyoG/ihaLY DssDVdS/rzKmhVGEQr+9bRaIzawJVQy0At3O9ifYWeHlc5lGm9pTvWhuZLOKqjn6eIb2g0TWlpSh 5hXDaSmyhOrLwXh4/TMgwVoZ9H2Rksw5axAMPrkfAP12NDU088rSm6N3rhm8ppqKb/J38teoxtY9 MFxiBBTSG3IQ/kEnbluo1lpjNhRx9xUQcudrK0DRvSa+q/U8rckPH9QSCm4u6zSgB4Z8ZO1vJPvf ta9c2+XnO+XXN0n3cOApeM1cDGSA+O6hXkpgILNZPHB8dYtMX1EyNwAJ2uPUGrsbdQBXClYH7VXL FZzwFi7yCWyA5Kwk1p5/tftLawOXqZebPfoGCO3WGOyyCchE2JztelpZNhrupSCDPMpuoh8MCx4N yeGAjhJO4gXFVYzUTlvAYJOw/SyG+4EjUPKlzlWrB2Pop+dTC6Y34RDumgWO0c4EzaoiErOMxxma PpnmpQsGEkh9G9VQitnY5XhNMmIW/eW/LFIZAxqn1E/2YrrcwU8s0ulNWnkgqPMRYc6e7CK2Dyi5 hJtOj9Sn7T4FdqFWBTig+6F824xTosICn7PJ5n50/vHPS7qMQcNbuofxkjw275EUiH8uMRWbUymn t/FaHE03eLKLQpEJeqtFQq/v8McokvkKDm3oLWjzjI41jaayU6olUH+5SgspmuUUe74hE0gCjCqR 8zpaYlXPNwmlbmzMw0IVkaNSyVPytJO2+v36StJWTXNCaERJ2Z/thURd8jvv66umvU8gmcn7vvBf OcYKJjPD+Bo+qLkLJrLXMZxGTT6rsMyy28Zbsai7IKsncZdKN1BJsTpXXJup4Vxp6gQSW5v+Lh/W AG/ZsRy2fIOl5WfWHt2zO0cTBEYRSnG4Hb6mf/gsOhRKrjHtm+6WMBnYUQor90ZS39UYpFeOmWlJ NHaTqhaM3Ow5i8zOa0xORbt86Kmp05WqNu68u+goZrVVDqo1X8y9zy8Pq83hiKY3epT8l/9u3tbP G27MLmqZ5WlrFO/askIubJonMpm4eqqB7c9/MFQCR54/qLnqdniWoKRkS82GmYelAIFNmrDyHQ3C 6eNFYFZQV648FN2lq1cEkSRRKrQe4xTO37ccnFfslXWr3lqEzTgihSmUZATP41vcp5sHoIzI1LBA 5dOJV36pq8txVkILNA/vhuxvsILqWl2lpEqyV1OVfn7Pha4KcAVElUnBGoRuYzJ3BrC92h8OBWDq lOaeKib/u7F3bsFPeMmfb1IUGE5H9VhG1tNVHISwUSB1M1XbfZEM1mGZKD+lCSUnBlZgGa5abq0j RtLOMY4AGAJfTooPheWUFVU+xDQqkpXHw1/U19YlNgfr74ozaLcIVX6hkGJzooskC6zPDcqHDxbe 6M6kyFvHPb8exKFqAqaLDzWLEcic3KpYoGJF/gccAVaNWTsCAA== --===============3335332918122882185==--