From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7993872340055318693==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: drivers/s390/crypto/pkey_api.c:1606 pkey_ccacipher_aes_attr_read() warn: inconsistent indenting Date: Fri, 12 Jun 2020 01:43:03 +0800 Message-ID: <202006120100.vAwRFHVk%lkp@intel.com> List-Id: --===============7993872340055318693== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: b29482fde649c72441d5478a4ea2c52c56d97a5e commit: 55d0a513a0e202c68af2c8f4b1e923a345227bbb s390/pkey/zcrypt: Support = EP11 AES secure keys date: 4 months ago config: s390-randconfig-m031-20200611 (attached as .config) compiler: s390-linux-gcc (GCC) 9.3.0 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot smatch warnings: drivers/s390/crypto/pkey_api.c:1606 pkey_ccacipher_aes_attr_read() warn: in= consistent indenting vim +1606 drivers/s390/crypto/pkey_api.c f71fee2711a788 Ingo Franzki 2019-08-20 1569 = f71fee2711a788 Ingo Franzki 2019-08-20 1570 /* f71fee2711a788 Ingo Franzki 2019-08-20 1571 * Sysfs attribute re= ad function for all secure key ccacipher binary attributes. f71fee2711a788 Ingo Franzki 2019-08-20 1572 * The implementation= can not deal with partial reads, because a new random f71fee2711a788 Ingo Franzki 2019-08-20 1573 * secure key blob is= generated with each read. In case of partial reads f71fee2711a788 Ingo Franzki 2019-08-20 1574 * (i.e. off !=3D 0 o= r count < key blob size) -EINVAL is returned. f71fee2711a788 Ingo Franzki 2019-08-20 1575 */ f71fee2711a788 Ingo Franzki 2019-08-20 1576 static ssize_t pkey_c= cacipher_aes_attr_read(enum pkey_key_size keybits, f71fee2711a788 Ingo Franzki 2019-08-20 1577 bool is_xts,= char *buf, loff_t off, f71fee2711a788 Ingo Franzki 2019-08-20 1578 size_t count) f71fee2711a788 Ingo Franzki 2019-08-20 1579 { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1580 int i, rc, card, dom; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1581 u32 nr_apqns, *apqns= =3D NULL; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1582 size_t keysize =3D C= CACIPHERTOKENSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1583 = f71fee2711a788 Ingo Franzki 2019-08-20 1584 if (off !=3D 0 || co= unt < CCACIPHERTOKENSIZE) f71fee2711a788 Ingo Franzki 2019-08-20 1585 return -EINVAL; f71fee2711a788 Ingo Franzki 2019-08-20 1586 if (is_xts) f71fee2711a788 Ingo Franzki 2019-08-20 1587 if (count < 2 * CCA= CIPHERTOKENSIZE) f71fee2711a788 Ingo Franzki 2019-08-20 1588 return -EINVAL; f71fee2711a788 Ingo Franzki 2019-08-20 1589 = 55d0a513a0e202 Harald Freudenberger 2019-12-06 1590 /* build a list of a= pqns able to generate an cipher key */ 55d0a513a0e202 Harald Freudenberger 2019-12-06 1591 rc =3D cca_findcard2= (&apqns, &nr_apqns, 0xFFFF, 0xFFFF, 55d0a513a0e202 Harald Freudenberger 2019-12-06 1592 ZCRYPT_CEX6, 0,= 0, 0); f71fee2711a788 Ingo Franzki 2019-08-20 1593 if (rc) f71fee2711a788 Ingo Franzki 2019-08-20 1594 return rc; f71fee2711a788 Ingo Franzki 2019-08-20 1595 = 55d0a513a0e202 Harald Freudenberger 2019-12-06 1596 memset(buf, 0, is_xt= s ? 2 * keysize : keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1597 = 55d0a513a0e202 Harald Freudenberger 2019-12-06 1598 /* simple try all ap= qns from the list */ 55d0a513a0e202 Harald Freudenberger 2019-12-06 1599 for (i =3D 0, rc =3D= -ENODEV; i < nr_apqns; i++) { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1600 card =3D apqns[i] >= > 16; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1601 dom =3D apqns[i] & = 0xFFFF; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1602 rc =3D cca_genciphe= rkey(card, dom, keybits, 0, buf, &keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1603 if (rc =3D=3D 0) 55d0a513a0e202 Harald Freudenberger 2019-12-06 1604 break; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1605 } f71fee2711a788 Ingo Franzki 2019-08-20 @1606 if (rc) f71fee2711a788 Ingo Franzki 2019-08-20 1607 return rc; f71fee2711a788 Ingo Franzki 2019-08-20 1608 = 55d0a513a0e202 Harald Freudenberger 2019-12-06 1609 if (is_xts) { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1610 keysize =3D CCACIPH= ERTOKENSIZE; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1611 buf +=3D CCACIPHERT= OKENSIZE; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1612 rc =3D cca_genciphe= rkey(card, dom, keybits, 0, buf, &keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1613 if (rc =3D=3D 0) f71fee2711a788 Ingo Franzki 2019-08-20 1614 return 2 * CCACIPH= ERTOKENSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1615 } f71fee2711a788 Ingo Franzki 2019-08-20 1616 = f71fee2711a788 Ingo Franzki 2019-08-20 1617 return CCACIPHERTOKE= NSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1618 } f71fee2711a788 Ingo Franzki 2019-08-20 1619 = :::::: The code at line 1606 was first introduced by commit :::::: f71fee2711a788b94ff0acb02fbd2bfe2de7e0a3 s390/pkey: Add sysfs attrib= utes to emit AES CIPHER key blobs :::::: TO: Ingo Franzki :::::: CC: Vasily Gorbik --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7993872340055318693== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICCBp4l4AAy5jb25maWcAjDxZc+Q2zu/5FV2Tl6S2kvgYO+Pd8gObolpMS6IsSt22X1iO3TNx xceU3c7x/foPoC6SguTZ2spYAEiCIIiLZH//3fcL9rZ/frzZ39/ePDz8u/iye9q93Ox3d4vP9w+7 /y0itchVtRCRrH4G4vT+6e2fX16Pzw4WJz+f/HywWO9ennYPC/789Pn+yxu0vH9++u777+D/3wPw 8St08vLfBTb46QHb/vTl9nbxw4rzHxdnPx//fACEXOWxXBnOjdQGMOf/diD4MBtRaqny87OD44OD njZl+apHHThdJEwbpjOzUpUaOnIQMk9lLkaoLStzk7GrpTB1LnNZSZbKaxENhLK8MFtVrgfIspZp VMlMmIotU2G0KqsBWyWlYBGMFyv4D5BobGoFs7JCfli87vZvXwcJ4LBG5BvDypVJZSar8+MjlGPL qcoKCcNUQleL+9fF0/Mee+hap4qztBPJhw8U2LDalYrl32iWVg59wjbCrEWZi9SsrmUxkLuYJWCO aFR6nTEac3k91UJNIT7SiDpHYZRCa7tCvYgcvl0JhXjL/RwBzmEOf3k931rNoz8Sy0fPrEVGImZ1 WplE6SpnmTj/8MPT89Pux37V9JXeyMLZOi0A/+VVOsALpeWlyS5qUQsaOmrCS6W1yUSmyivDqorx xJV5rUUql+SEWQ1mg5irXUpW8qShwAFZmna7Azba4vXt99d/X/e7x2F3rEQuSsntPuSJq5gIiVTG ZO7DtMwoIpNIUeLoV46laTvPtETKScRoHF2wUgu6jaUXy3oVayuw3dPd4vlzML+wkbUnm0EkAZrD fl6Ljcgr3cmrun/cvbxSIqskXxuVC50oxzAl16aAvlQkubuOuUKMjFJBrqVFU2spV4kBfbWMl95E R4wNvYGGi6yooNdcEJ126I1K67xi5ZXLaIucacYVtOrEw4v6l+rm9c/FHthZ3ABrr/ub/evi5vb2 +e1pf//0ZRDYRpbQuqgN47YPma8GuRFIk7NKboTL3VJHwIfisIORsCKFic5AV6zSJLbQ0oe38vyG mfR7FtiUWqXAnso7SZS8XmhCS0BqBnDuLODTiEtQE0rMuiF2m/sgbA3TS1P0WZnKfUwuBHgdseLL VOrKVRifwX7nrps/nL287hdccRecgMdFJXwcvB+6udjoRMbV+dGBC0cZZezSwR8eDZok82oNvjEW QR+Hx40w9e0fu7s3iG4Wn3c3+7eX3asFtzMhsF3X1u7puiggWtAmrzNmlgziGe4pG1+Vqi60Y6LZ SjSKLcoBClaZj1oZzRPXe8RMlobE8FjD4Hm0lVHlGXXQdKcBqaXtWIWMaC1u8WU04UpbfAzqcy1K Qs1agqReiSpdOkwX4HIqVzSgBchHi3Hn0fYRiY3klKFp8dAQ9+pIkLABYqK7ZRHPTcnafGrfgOnu aVjFPOsLXh18CZgNistE8HWhQCXR0laqdFy3XSAb2NmO3T7BicD6RgLMImeVv4zdOouUOW5wma5R VjYSLd3YF79ZBr1pVZdcOPFiGXVh4qA80TjCGlBtfOhSX1KOxZI6gaH9duJBCNxVAU4HonQTq9Ku lSoz2EiePQ7JNPxBrU0Q9NgQpZbR4akXUwEN2EUuCrSrYPoYd5YC1GL4aKzn8B30lUE4J0FbS2/B QNMzcA2mdf80n7gKYXgQJ7CL01FE1/tkz6yF3ybPpJsVrFyeRBqD2SkpmS0ZRD5x7fFRV+Iy+ISt Gci1AfOsuOSJY71Eody+tFzlLI0dNbTTcQE2EHIBOgGL6LLPJB2LS2VqmPyKjlujjdSikzK1I2GU JStL6driNdJeZXoMMd5a9VArP9yBbQwxqNF4gVFVbA4QewkPxJ4XBHvAnYgi19JbueMWMX3wOMQb /PDAS0msJ2sz+2L38vn55fHm6Xa3EH/tniDeYODjOEYcEN0NYcRE59YYNkiYg9lkMC3FyfjmG0fs 47GsGa7zit6wmEWxyizLNbnCOmV0yqLTekltu1Q5HghbgwqU4JHbzMzVwDqOIUu3/trOlYHB9oxI JTJr/7GAIWPJuyBtcGexTL1owBoa6wC8ANuvI/S6mTmh2DUE2CZyM3IMe5aoI3kkmTMsJhbgK7rQ xOEYMr615WCM69KSZCsgDyAQjTUZA3u9N3ZanpXyI6RWgUCcVpoOGeaOlniAQZYiFbaDyM7JEAsu zUUty/XkKDVIfSkctD4+Owi9rMpgwBgcYc+1M8SqKQKloJOpPj/xNl4KEwV19BPnHjjaesXL8+3u 9fX5ZbH/92sT6TtBpttxZmdxfXZwYGLBqrp0p+BRnL1LYQ4Pzt6hOfQ66WcycEHuqYGFWTSOT5na bmhixMOz07kuBT+kyzxd8+NZ7MdZ7Mk0r40oqzr3IhH87uwFnRUiwaQUW6wvRB+Hw45GBMnN9Dcl wQY7KcC2MS2/FkmLr0VS0jv9uJRuDG5N+LikNYJnzk7PS5sFnJ9+7PVXVUVaW7vn2olIaCze5EZV iSgbgIOvXZPZUjf5X5v+7R52t/sF0i0en+/cjWlTOuEaYfiwcef5wT+HB83/nFRx1JNvdHRWhXYo 4yFkqdQ6hEUl27oWqoFWYB4ho/UqKsk1aA6lV4A4OjkISI8nFLTphe7mHLrx+UhKrE45UZG4FF49 ym6lEsJalc1VU3O1LKgI6BKm6RX6O4hRsZfT9XDMociRegqMdUkKcGbo59EBkJHNnEG36pTtHp9f /g0PBBoXZSuMEHCCx8YBQg/Wo0ehiMU3jbrybbsZ3qMp4a9NOFJLpYsUvGCRRaaoMGZwon0FqaEt qWDUocoItO9sMI2QCCRXGjmFba7PP54OpQ3Ii22U4Wx+THlDoP00q5pBbnp0cjrI357eRFeQREN0 YanIZfCk3NSaf1Fe4bTv8SLyEwcnkAATE9c5x6BNnx8efRocpYbgI8g/eKI5ajwdbHKQRa1JXn3O LGvR2+NXgH39+vyyd3nlJdOJieqsIHvymvWiFBztaFcaLJ7/3r0sspunmy+7Rwi5Ax1M5BJ2m41T MbPUstHDIYPIaLUPex1y922YmuSiktF5O9PN/cv+7ebh/v+688QhNK4Er8B8YDG2xiO6hqlVLbSj +UWwE3jmJ4VFkdoAHDMwemUg+jPJVQG5dkzlf81h1MY5X/AZckcDMqKHDZ7lmNwvVzXADRaKppqM yZvzmSach/BzxfjV9JysoMjFCmTeebnP+93r/tVVN9tPnW9ljmXcNA7PI13P1rb2Tj1vXm7/uN+D zwPz99Pd7itQg24snr/iuI4fbdSae9Uu6yUCmGoSJhFolAMelqKJ8knx/Ab7x0BiJ6iyi+1RxJCs Scw46xxWepVj4Y1jpT+wlJjo4uFqJXOz1Fs2OkQNk40GWoqKRjRQA3oeByUni/fKN8PZmiVNvMDA IiEbBAnmlVzVqnbG6rIziKfsMVB7gh3MDa0cGPpKxlddMXBMoEXVepMAuWU5pnStpa5srasqa7f0 2kxAZyZTUXtuHQqkFCttGKqfdQjNGsCuDsWA1RGqBILtKTgWWdo+0ZpSQh20ZB5L1HUalnjd3hbA wneYZUGcuGJtPNr+NZJus+DN0cSohGbRLbQ5+p/ARaoexxK4OgZD7OZQs7tMQBC15ZVvolVp5NBT YmudkYHt6uXUU/D2zoZdqdYlqNKeJQa9z57nDdoKYhL29AALjO93gTtlYsPlGI6hhcBTC6xZkNNV cWUi6PcqXH8VdUGd4FgZGvCAqlOwAWhasCSL6kVMxaJszIzpRrD0qrjqbqVU6XhPpbKJ7/pyjyPw FMtIS0BApBVp5+YHLq6WK10Dy3l0PEIw7he3WkWYxx4fQYRoiMWw89xkrOgjw8EX9lDCfA9LXYGF q7rcodw6teoZVNi8WQyyuYcaSj148uMUK6mQoh+kCfV5eVX0Z9grrjY//X7zurtb/NkUSb++PH++ f2gOr/thkKydwNwAlqz1jm1peigpzozUR1eQQeA1Cgg+OD//8OU///FvD+G1rYbGqxI5YDJc+Mb4 oBsKa3x4juC6S1tR11hiHi6FtSuimwQlcysH7aYKAW0ikyrX+bWoOm/BQz3IbdOg6brR4M6m8JbP kve3tcgToGE+I+Z0l4SRmG6lxxidsMNZnhqao6OJiphPdTJRk/Oojj9Rl6B8mpPDI3IioMPJ+YfX P26A4MNogO7+1BwTWEnemkxCJpM7Z69GZrYaTDatc7C9YLWusqVKaRIwAVlHt8Yjnskp6ubaRArR mX9mu0zp2L9g7Ylxt5l1fhgYqOZmI/gOvG1YXvm5+RSFWSYzRO/08W0d+JejJkk0G1UcXDLcWbPM NATz7LQ08wwNRKPDdpe28aNzcrYU34Ce5HmgmOTYI5kWoSWbE6FDMM/OeyIMiGZFuC1lJeZl2JB8 C36SbYdkkmufZlqODd2cIF2Kd1h6T5Qh1UiWeFP5nR3SH3CxSmHKVWZO5cX6z6YxuBu1zd0gu9xq CEQmkJalCdwQLTWH2DAPVhSWwgYr4p/d7dv+5veHnb1jvrCHvXsn8V/KPM4qjGVHkSGFsuMNCAwC K7fum8Z+vaAl1byURTUCg1Pg7rClaFPBPk6Z4t8t5A41r3Fdo6/YDsPYK3H2SkgB3ik4i2hSg6Y2 i55N5O6BwFAdvsSyraBQG/gPhsdhAXlEMR7U+iPLkZnBY2GXwMdMV2ZVF8FarYUo+raONk6UqH14 y7QXyfgE3WVpZfcGdZjfVLBt9bo5LfoYXBywaQkdQMhVyUJs56NRCiyKSlOFZ1lr7ax2x6Bdkwz2 ELY5/3hwduqGEuNckroZlgqWc8YT/87TxJU7XOkh+SRJrgul6DOO62VNB7bXmrrTMcxVlCXGTbbM 01yLwOtkxGRs0ckSYPq59pL15tR9YzN9d6pgVzA5n75Mu8L7epBOJRkrZ1PDohJN3s28hGh6Qw+b t8/T8t3+7+eXPyFZcrb9wCtMSlATBzvuZJL4hUcD7jQtLJKMvq9UTcSjl3GZ2aIWfaNbYLZ7RS1E zTfDHVoW22+Hm8uosJcZBZnIyqCoLYvGtHEW1okHAhZt8OJeZEoFPom6DQpERe5e+rffJkp4EQyG 4KUCYzA1GBKUrKTxKBVZTLwfaZCrEs/xs/qSYLOhwFPuXHjplr7KwbaotZwoPzcNN5WcxMaqnsMN w9ID4LIYRh9EWRzkQNNIWaBhnFjtYbouENU1AFW86MB+93VUTKu3pSjZ9h0KxMK6gKFRtG3D0eHP Va9t1E2KjobXS7f+1tnsDn/+4fbt9/vbD37vWXQCCSqpvZtTX003p62uo0+nrxNboubyqobtY6KJ ygLO/nRuaU9n1/aUWFyfh0wWdE5vsYHOuigtq9GsAWZOS0r2Fp1HEIDZgKO6KsSodaNpM6x2QZQt sk/sBEtopT+N12J1atLte+NZMvAttPfLCtCKaYxtOPWeD1YGnxtiERxdlyuJDgUBh62SgvfLiqnL rEDc1M9J7LKYQYJFifjEBCS+DZiwseXEkwBYGU7MlFX+6WyVQVwjKWODqJT516oQlhWKjngQuSyP Tj/Rlav0aGIGy1JGK1o7NsCA+XRwdEhdvI0ED7xfA5n2a2nqWBn4OHIcb8XStWuCNvbkWljwo7sU UURJ6/LoxCVLWUFdbS0SFbB8mqptwagIVwohcOonH72N2UNNnrZ/2OvvoJo5MDvbURtIOOE+4+0Q j65T7V6u2IDq4m33toMo65f2nU1QB2/pDV9Sa9Rhk8q50tsDY0j/woGtho6ARSnVGGoN0MUYXrq3 sTugjpfBvm7Bc3xX4iKlWlVL2o0M0qCitQ4LVmLMdMXaSY46gxiIdkYdQaQnAu6OAP4VhFSjshzL Kbugha3XS4sgpMETtaYypg5/EROLxMHtpOPh44spDGdrQY3uL+AInSTxDGuFFCQPDXzUGSa9swur qQUkLqI2W+jh5vX1/vP9bXD1BtvxVIcMAAhPXSRl1zt8xWUeicuQC0RZs0idBHQE8ZYasT6mr6X2 3eoNZRBd9Km/+nYssHtjKO/eVYWzdl/7uF34b3o6TIY3vdnE/UEbfmfhXfBRH4xPBAqNhsjY2wkR p8x9lGt8RKbwNwGGyS7BwjEsRHh53gDt/twQPbpU7qG0A4/cUzcHnnMSnGGqOMFI+6Ca9toB2Tyz 9inVxChYgJgKqFQh8o3eymC1uvCgTYyHiXWQICHqwalSxdK754h3DqSiuvIRw/NaV1VSma+nU6Ws mMgPUY1yTU0p0eXIgtjpQ0Qy2VV6DCqvMb+Zo8q5ppKH0n35Wsb2JbVrfi8L/7FP86YSO0R3QNXJ BgqeMq1l4IxLfAasr4z/Am15EZh83N7tL3P4FZ8F3nMjopBiXa0EXUm0KWupIGlUuaxUEIG31adR 9wHCrTT1c2X5sLHhA1NnH7DkmbugCFptKakB4rfDs+Oz7l4mABbR7q/7290iern/y3v/hcSb0dib yxFIpyMQqEjIEGcpx4vCmP3m1E5GojgVbf/+ZEpOhq+IW28Y3vIquBRxNBrUTDfk/NdfD0YNEGik nnji3FMUKavw9sFE3zKW+O+YoWyGoUKw9TAPV8C/MbyI7wNFppGYAmZcsnDg+NPh6cHhuzIMm3U8 TbGcXlKtWoZDORIUnRyDCavYXu2igIZrV3t1AbzhO8LPN7e7QHsTeXx4eOn3kvHi6OSwiV26n2EY d+NPp3mx1rw5p6+6EPvIyVljMEdlQVcUALnmlBptZcYc3u1ny4l9knb+abCnawlWzlmDBmJkXtRU gNGiV0UYgp8FYdFZ0XqoEdgy4hyrMRn7XxQFNh5ZBonXNOm3m1wUiQl+i6ZjI+aeC4s5eMiVpJNT xObuVmkBeOAZ9oLgmpE/k4HohI9a6CRKvbVt/cjNyyK+3z3gQ9fHx7enNgBf/ABtflzcWWVxHxlB T3FUhJ0DyMgjMhgHbJGfHB+HTSzwnUZHdo6+QPD2eiikBoadkfBGfq70Lou2E1+oDXiGKX0cb8v8 JBilAbbDO67ym0TrnNNoBlHSVPIoY+FVVYgSYRdq4+X89myuBUEYAmqaurcvYyZT1QTjfaeiSiql 0i6aG2nLlA9urjJz5x50+NH+gJH2gAKvCCxrL6bqTlOxDZJQlSMAM+8NbAMAQ/Kb4JU7IcQYwUtq PW0rXXg1wA42+16yJyow6cJLGzO9N0R4H6IhJUdzfkNioisTFTxsaoqKssgWtdz64s+0HAH8H5Zy u55MYxCnq3rp98XCd/3QtaKDb7usJeWnLYZ5EbKjCyTQ8AZDKo9OJlyZR3Tsv2ttHiVBHHH7/LR/ eX7AX9K5C7UdG8YV/BdCg3De9mVM+6Jham0u8ZX9ZRfJR7vX+y9P25uXnR2YP8Mfun9s5amAv6YI MO3TnAAqijEMQxgaOtGJRQU9mQxS+Nw9p55jv4l+bu52+JMKgN05Yn11XpS5A3MWidy9SepCKU47 FDE/F2XCR0xjCkG/Y3t/Av27M1pxeqUST3dfn++f/CnjCyr7qt8XdAc1DSzWAbqI7QGOuxTeEP2g r3/f72//eFeh9bZNrivhebH5LoYeOHN/uKcN7j1xI8RebjZcTvx0E/QRvEtsp/HT7c3L3eL3l/u7 L240coV1/mFU+2nUUQiBvaiSEFjJEUTpRC6d/oro9NejM+/I49PRwRn1A0ONAPAtCF4J8X/hrmSF DJ51Dg/T7m9bd7pQ4YWturm5n4i0cL2dBwaT+f+cPct24zqO+/mKrOZ0L+5cS7IsedELmpZsVfSK KNtybXxyq3K6ciZVqZPk9lT//QCkLJEUaN2ZRT0MgA/xAQIgALZ7LS0SyK1tUZv2pSsMNP5DSSZW a1m5ZXllXnDVjWoozZrixBoVWradfEX6/Pb9f3D7v7zCRnkbu5+e5GzrXUdfMTZUiN0eWhuoVTSU +jpylYyUtMt1v3Dtfg0aCsYG4Z2W5mN3VXKkezaNs6Da4Eqlq8mO5DXboJNZqSsUHHdwX/aiYp/p +0skY+Jc8iuxjMwjmhvSNWLg0KGtJJ0mBmro4yGHH2wDh1Gb6X5/TbIzXOrUbynd2jChh771sKLQ 9bBrYd3X9FoYVuP2lDXJKE1jiKDYM/Tb2hzS1LRoIzKV3FpGCZGT7thScqFu/nzX9JnRMFl1bUIH kuolNC5VgdzNLcvZdYBLoWUBxF8XWM3o2mUCC0zyRyFE1qQ05rDpRsTY+5byaKiMTANVin5creO+ H7D31ebTOD0AQMdAI7wUYMYUVqkdQgwQ1CZyRjl21azp8/eM3EWBLqyL48iRDORK4/nxNE9UeSwS TVAa1S4drnxjn9+/TDVZtg39sAO5ujI0Bg3s0AN1CkOzBNZQnOU4DaB6D9ym0nww2ywtVBzxdwMU dZ1nHDRcrANfLBd0gAxsg7wSB2DKsCQm9p6roAv7Ltf2Iqu3Yh0vfKargZnI/fViEYz9URDfsDmK pBRVIy4t4MKQyrVxpdjsPWWvtOCy8fVC8zfcF3wVhJrfwVZ4q9g3XQdaOEtRg6uDXhAih0M0zKEJ jXJUa0TqKxn8IrZpYlho6mPNSlJ0575cwr1NL0mAtRZUVgSFAZ3IEbU04qlcND1WhdOPQ9ODC9at 4ijUDlQFXwe8WxHQrltOwdm2vcTrfZ2IbtJAkoBOs9SFSutDNTa4ibzFJEWfygz89Ovx/S778f7x 9ud3mUjt/RucxF/vPt4ef7xjPXcvzz+e7r7Cxnz+if/VcweDOKILoP+PyqbrNs9EcJHGU2r16ESO PY++SgwFpTq/LoHsx8fTy10Bi+U/796eXmTy+olOc6zqy0aPdgeA9kOqi43yOB5TcNyoWDvJTw8a E1G/Bzv1JWmaCmUKjkz5PEYlJnyvcQQMOoBv41VzsTRpiWla0Tms6nu2YSW7sEzvuMFoVSIHvGdT kOnYIBLj0vQqqAKDQHkwQ73Vb5nhRewSmRJlFBIVLq92O+saR81dkiR3XrBe3v0N5MSnE/z5+7SD IKgmpoByhVwqy8I6IEpblpgQVOJMShs3+6RZAnsDv+UEoEJNxjvlqty6LpLlOUVisIMyzQ3NuR5k opEbbt1twuikSQXj6L/m8Ohzoo6dC4OSrENa3jl866APIqFNQtB3+J+oXDnI200/8LR4fqD7CPDL UU6OzJTiqPyYtLT3RX/p7lpQZV44YkVYw0vS3x+9EpUCYegiEuxcE4h1eZP2fpGM5quITUo3Ds5Z YKj0akI8HFRR5Ie0y40kcDtfAhNM/MWCHnIk2LtRsA4ql4ECb4zUCFKHNybOKHWnQpx9UKK3wGAD XlmmZmkQCXgY0YLCSBCv6fV1rvcVGRGkNcu2rG6tDGcKhKdZg2xppoJdYrKWpPUCzxWDcC2UM45R hGbmSZFnvBIub8ChaJuYviWg7Fki2YhS53Ir5j6iYJ/1o8NAGWH18DP2PO/i2pU17i2HG1g/Y2XB c/L2XG8VeGnZZozuUsNpOK6vytq7uWt/5LTqgAjX2s891zDPzfcBxA3D3qcgl3ITx2RuPq3wpqnY 1todmyW9KTa8QNZPs8RN2dGDwV3rp812VUlnk8TKOhKjUumiNuAq6HKXGz8YDc/G95aUC4JWZmIX N3DH7GAMX7s/lGghg+++OJLG6yTHeZLNjh4MnaZx0Kj+XWrHwZxnDwfbQDpBWn0kBmGf5ML0ye1B l5beCQOaXgADml6JI3q2ZyBLG/2y2RlRBDNdlcaG2iVFVmbDGUNLdvS5r1W8NY8CFURFBz3opfA2 2LDF5b4jwTWsBsc1plZfUhzyxMhUs0n82b4nn/v3d8aBlJBLWaOfawknFTr+X2z+MK0pPXzKWnEg juO0OH7y4hlut6uqnZngbUfeAWtF9gd2SjJy92axH3YdjSpbM5ovofOlJtLvyqJzCD/ZjvZiAbiD DWSdqwggHI0gxlXd0tUzQLjK2Pbeq1ZVeAt6IWY7muN/KmZmqmDNMbFS1hwLF3sS945wHXF/pu6J 9IagFVZWxjYo8m55cThuAi6c2Ft0rDjdRKeUq6Xen4w35mq7F3G8dDxYBqiQZqsKBS3SPuf34jPU 6rIrWP2pJju+5H78aUVnAgZk5y8BS6NhtKNlMLO3ZasiKei9Wpwb00wCv72FYwmkCcvLmeZK1vaN jTxZgWilT8RB7M/IUxjh0ljJQIXvWMDHjgzwN6trqrIqzCCQdObIKM1vyi7Qzv+NSccqE77NoVnn 1IgTf+IEapeuHaqx3vMjyBvG0StzW20tjWBasLo3vhnoq5ljXkXmw1jsstK8H9yDxgJrn/yUc4L3 lGk2o2LUSSkwJZ9eLayKOdHjIa925v31Q86CrqNFu4fcKVtDnV1SXlzoBzIOWu/IAS2TZgbdB84i 9Md1mXKveNs1UiNAK7crbrYpZldHszXv9leL5cx2bBLUUg3xKfaCtcOkgqi2ovdqE3sr6qkCozFY SEyQzKvB6I2GRAlWgORmxMcLPMJtNZgomei5TnVElbMmhT8G3xApPfICnUhxvmcWtchyZjI2vvYX AeUxbpQyNhf8dL12ACiPfOpAr60QnGBMouBrj6/p8zKpM+652oT61p7nUDYRuZxj+aLisLWTjjY9 iVaeasYQtAXGgM9P76E02VJdn4uE0Uc7LqGENgBzDH5x2ALL7DDTiXNZ1aB1GxrIiV+6fGft5GnZ NtkfWoMvK8hMKbMEehqCdIVx78IRld/OmnyO5qECPy/N3soUZGCPmN0/a6kLda3aU/bZuopXkMsp dC24gSCYM80MropD2f7ilHXZhI1SxRva6okIv6aNrOl2S68TEAUdbB/Fc+KxvbHV/dn1VqySelFo Xa9DR/6iOnfkZalrGi6sAuou7Hd0Nv3RR1b1d1wTX7ycaw4kvOVmqLKZIQd4w46GqKSvWkX8pMJJ tYvVm/2RPd6/vn/89v789ekOQx/6qyj5XU9PX/Gp7tc3iblGi7Gvjz8/nt60izRZzem5YN0d3me9 PL2/323eXh+//oFvUYw+GepO/YdMbqa39fEK4/fU14CIcbyG75itXlv4M9kFqNsRDZuy+yR3qMIj FWvjVZP6Ab33NMICqJaflrN0nPuhP0vFtmnkO7Q1vVHe+At6mWtU+5PIaEZ+LFD+pi1m6o7MVVIG MvZBB5PNkf34+eeH86ZYRggZk4KAS5piarHclXRVEWFopevmTlGozG73BXPlqkGigrVN1tlEsu+H 96e3F1xwRoCXXb7C9Kw3+/GpOt8mSI5zeMtrXxtaV+iGKnmfnDeV8uAdFfUeBiurDl0L0CSK479C RImwI0l7v6G78dB6i3CmF0gTzdL4nsOAMNBs+2DmZhWHtynze+jvbRIMYJunkAvVkdxiIGw5Wy09 2ltOJ4qX3sxUqPU8821FHAT0Vtfq6aIgpC8oRyJO79CRoG4832FOutKUyal13HgPNBgjjzawmeZE W53YidEX3iPVoZyd2woYAn0/oE1HAGt+ZqjbU75cOI6MgahrZ/vDWQ2axExj6H1aF6QhQGNWmpsQ /rzUwidAF5bXgoJvzlsKjNYF+LeuKSQI+qxuM05WOCBByjFcqkYSfq5Nv9URJVM7XuMsRulvwCcg v+N9NS0kjp1I0CTvMGlorVUHvr8ns02ORCm+k9HfkU8bKqzAOIVSHsA3WleZmrD5G0QbXoRrh9uB ouBnVjuSeVbqLQgMH/dvjcNRdF3HblXiZIz9tw4Tfruhkc4VoTucr5jPznFfIElk9jZHtkhFgCMr QGVwGOn7/ZMJl4EpW9I+k/vHt68yXAEf4ELpR8/cmzS6T738iX9b76VKMMgy6gA1oTwztq+Cgk5E QFXahlGXkcDe0QLIaYVHtSL8whU02VfT8Jk6WL25TaDOSkFdrhzUQI1OkaxIeqddC3IpBQgiBDxf EsCkOHiLe4/ApEW88HSliprG0a+TkHGVpPjt8e3xC6pOEzf1tjWeTDy68riu40vdmiYS5UQswc7x ZHkfs1RuXW5/ZfW5Kkh7yWUnjIQe6rFeZ8q5/i1fdZV8reOQ5/03XnstEzFi8Ir5EAaIvtYbdwC5 L0x7U/962Nvz48tUte6/N2FNfubyekQFErz++C32QbJ8V+Wk4kk4dvfFQeAJ6FtYg6AztxXA0Sad Z61pDjVR6ONueyE6KMtG/l/8w7MozKTjGvBaOdH+J0GrbD1aZGlGXnBf8ZyXXT1pVIG1Zm20t8pE 1HVWPISNdmPMmKQJ1ohO6rE9H/vUsp1MLTCDd3beQQdST810AcQkN7MZTHG4dmTa/H8sbxBt2GHb YK55zwO1bDGZriztVt3qxgrtbXi1uPRjYNdgEsyvSuWwZteCzP6vFMW1rL7aXstN7U+GC2Dj4g/8 SaupyC957bwA0qmyEhP5ONJoDDunTDoZMpjtMg48qbEPR9zySYmvEluq4vAcocGOrPoxrhAlPZ2N tphwHyRVWlKRKJLB1jWmLRkDbI7XeEHDhA9QNBES5XuPY4JPZKAuXPZwSORkw/tT//qX0dAVKHPF NvKJ0ltlJzlcRox8FF0P0gIhFyZjyvqVefnui/s8xShKqdxzY8wxeheTsC3pl4RH9FKPbeKNvzTy C2Y1utBPLVJDMLWje8Mns3KnnqCVY6YFiXH4U2vGYG10zRQWktIRYN3j7OtTCwtcFf2gk9xqvkfB rslKdNElseXhWLU28thikoum6s7GOr/2pg2Cz7W/dIr5E0LX9S8sf9stUzO928NuGJOvTZWB7zAg IcqjrUGC5zVuW4qNIOrY+v7CFHM0+OSM2Re4cY0ERJK8Smn1Rr6M2rKaYrPHAjTuZmtwrWPBKe+N oirxFR0zJQwA5Xsw1LaX7R6Lg3anDCdHfja08ytEJlzQax4QVUpulqlQrOlR/dJvDkK+kkgrWzoR ZuZXYeNTAyksu6nJWRctcGFL0wms/coED6/CjzwAoXsgTigei9jiMGT/KP58+Xj++fL0Cz4T+8G/ PZNvLcs92WyU9iMTeiYl6bjT16+yZlm9UnDrAYEJRd7yZbBwJF7vaWrO1uGSunU3KX5pYaU9okl2 U2CRd7zOt7omdXNkzB71qRDsh9Q1iqs1ZZhv9vLP17fnj2/f340pBzlrVxkvqFyBNU8pINO7bFU8 NDYohRhQbl2O1fwOOgfwb6/vHzezdKhGMy8MQntiJXgVOD5eYrvA6n6xjcKVORN97IMJzJSGq0OE GdaBsDrLOiqfrjwSpP+UEdgrwdLPChYkvXvltGWgpq9pntvjVwF1XvfI9aozu36UGQdNAJxLQ0gn cgL58vndHxj7r6bg7m/fYW5e/n339P2Pp6948fl7T/UbqI5fYF3+3Zwljlyt34AaeJuIbFfKVBqm kmYhh2SD1hhrJCJnjug3uy6HOxyS2eY3DXWfFLgdrQ5UE9O6vgI4I9IkqokoVFIZDWbmQEp+AZv/ AUIyoH5X2+Gxv0smzmjZmkoN4Py2a+qAPNvtyTd/fHwGuhKXRD6mLquvPr4pXtN3QVsC+n2zc0cb 34xJsqwFPzdpmBHE6cA7kiDjmSGxkugYXZ/0NtCmhmOaZoD0OXT1L9ieNAQlDNSGzwz8dGYRQ1zf wL8NWDLMBUp4xeM7rgA+8sTJ7SWWUqqx3TY6qOC/yrfS0Qng9BumP/ckgYcWKkzzswm+BuB8/w/j C687zYKf7HyjPbTItpjIxNEfJCh0CyYC0YaCeioxwI4djKi8iBaXPK/tPqDiS4v/iK1gV2Sl9eV1 x3zDDAMw9CWUvtkGVHAvBpa88M0KlP3Imusu43bfOnT3dPRsYBga7PO5fCjqy+5BpeEYFk799vrx +uX1pV9B1nqBPyq7pz5afS5slSXCQLV5svK7hfWhObM/SILU49HWZymMihpDYb9tKiptowAdWy+6 Fw5P5prIkNXWd19eXr/8NyU7AvLihXGMz2nzaVLH3u2m95FCP4bS9c5L744DfBL489dnTK4DTFs2 /P5fOo+c9kfrTlbytqFGAJcz9GEc1x4gH/TDRFd9DuzQ868UVWodtNciWfPQxw4MuiFyxinxkI9d h/WJkiyovOtejLK7eqLt++PPnyATyL1InFayZLTsOrm1yRmVJIqNOUZlyn0kdHtitXHMSGja4j8L j1Zj9e+7lR9a0TW2HiHB+/xE3xWoYdrEKxHRSoYiSMrPnh+5GhWsYOHWh4VSbQ72ZFmspAdWnTUy +AaoHvArgTYPUeNebC8pCLS66uGe2EFMlNCnXz9hvxgcRtWpnGGsPrFtWU8ma4eJFilPeG3FLayK JNS3P1lqXMEUmsZhZEPbOuN+7Kn4Ck04sL5KLfN0+xe+1rc7yZrsc2WFMCJ8s40WoR+7vnizXYeR V5yO9lJnayhmzd1UTJXgvI5Bt6HS6wzDF60mHW542IZxMKmN8N8wh1KswrV8Mtwq91B0Ma1GK/wN lw9JcOAbb0maIyX6VMSBZ08sAkNjWonpG3JD3pzWTRt33eSrZHJXdLc1vZAskkTR+EtrwpotD3yv 0/tH9GM4yG/2D3iqt1pONpS8fluTCQq0LeXZrJ0HQRwvLGidiUo0NhdpGExLYLjSTvtq1g7nrvne +omynahUweyonUYyXoXXhiSuyPBFXkd+4mvG4TqnLJL7U6FzRvkT9OCtDeoVEnWIqpvSxw/ggtTF ap/jaxsFnjblGnzpaRfrBjym6Atv4XtUAUQYr4uZKGpNmhRrR62BZ95gjSgvishh1mjWPhkENFK0 UedRSdEAEbgQS49MwaZQtK+cQbOiXCQMCjJPm0SExKSIIFqQYyQ4cFNqPY8UdZJsiSrbriZmeSuQ OU+oMT0ctSjUyQAd59MyWXgPB/xmikgjL16EKTXAiIr9lFRcB5IwiEIx7UvBvSCKA7ozaQsawAFf CRfUOO7y0IsFqf+MFP5CFGThaLUgtcoR7097pMRF/VWUK2af7VdeQC7ArI0p0e2K/sSXPlUMuFLj +WQg05iArUzYLpn2Jm+5v16GLkQ0/bIeYXsImEgje6OBXBM7A+3iXuiR1S19j9gyEuGToyFRS0pE MShWjn74K2IjwMnmofl20g9ErBYrkm9KnEe5ZBsUK4JNI2IdUatRnsGRf4sBKZKA2OeY5JDc6BIR EAxcIpa+AxG62oC+UyWgW9T0F7wO1KE0+dyWr0LK+D0UTcrU9zYF789egulyU9Qa5rogrfojOiI+ DqABCQ3pJqJb2xnQMbmAi/jmVgY51FHs5qIvYnJB5QUZlKmhidkHqKMP69APaO9Xg2Z5+5RVNLc+ p+ZxFFB7GBFLn/zUsuUXzPGCjy+TOYYHQt7CtiRmGhFRRHBLQETxghgpRKwXhIRW1rywXLCuHwBq 5drYDXUxMTvbhU4FnjY3acS+9W4NKeB9UlQDRPBrrmp+e0aJ+yZb2CgS4FoE40jg6F/qaXQ1hO8t yIUIqNXJd6T4HfpUCL6Milvy1ZWE2gQKtwkks5tWzvfhyr8t30qa4JZkLdpWRNTJKIpitSIWIvA7 z4+3sRT+CelVRDFpITAoIpIXMxjT2BFKMkgwJfMXdMiKTtJROqRGEPiu4yC6dRq0+4JTZ1Jb1N6C ENIknNjmEk4cywBfLojjE+GODhd16N06Z44ZW8UrNm3r2Hq+R27HYxv7ZFj+leAUB1EU7KZ1IiL2 tlRHEbX2KGuZQeETuoZEENtTwoklquDIrtBYTdaXR3HYChdqpT8Mp6Fgu+1TFybZp9RgKlPPrc9W Zh/duQqPEPKZsRO+97qttJG/Qqxr6QFcVid2rswIzAGpvAKlf80lKTF+gpqfgRwjtOSlAta3mKCv xngVOPz48eXb19d/3tVvTx/P359e//y4273+6+ntx6tufhgK103S13zZVUfiQ0wCGD3Nxc1FVFaV YbV10dWOvOEUff+61Fi//cGuaE18XHCcwO8kWGtoHILe6kpMfq8+TytFxMpAmIa2K4LyJBsE3mm1 aPxfrNYERq1yByJcEH3v/ZSnJT5nWYOXblOMBIua/Kzra0DUl/0vY9fSGzeurP+KcRYXM4tzpyW1 1OoL3AVbj26NRUkR1Q9n0/A4TsaYJA7sBDj596eK1IOkinIWQdz1FSmSosgqsh76PfhCz9sq7CIv Jh7cH/dSIwLKSHC5kE0azqqX2wQv/LjUKtGhu59HPJuVBd94K4BS04gtClarTOyQTj5SHb3b8PSO r8yfVYrJgf04Jls6nEn/+6/718cP05eQ3L98MFMVNQk1UPAoOqKYgE40tRDFznJ9EFTCxl3Cmc6u kadBk0wydLtMWkZyj7j+zAkQZGgoiQ8pXvSkZzqAMU+uCa8cqHHBqZA+xeVkcPjxx9cHmYrQFYWC 56m1GSCFJV28XYfGnY6ki2DjOJEcYPIsACfleHtk18k6P97MEwyYTGilrLLx1tTB2cRzKJPUsDdA SLpBrkgxT8LaVZT52Evjry5ur8Qc3aJT+jZX9hmX1kC7iByJ+g0XVtMvzpbph4YstUGyUMrMAEa+ 3TNJpSTBHvRCTZmV/Uw8jA1mtronmg44OmAk6kTgUEQgm8pxMEwgukTmBExoJ3SEoSr6/rRsANR9 a5FgWS7io/9k1Xv4nOqUNKVBjvGWUaPFccPjlTUYihjaT5DkaEVfiKvJcvHWIXkM08PqvvLnrBjQ HSERJoaYUt0meBuQ9cZr1zQAON6uNtabRaI/67okb2n9csIpVU+iXRToh3SSNogWEzl7L82NG7NF iSQZZXGbNClNkocw4Q3tfKChlkp9wANs5iXuL2stXzb5VO3OUyd34SpwjfF0F60Tb+NVbNWtxA2T KLKEWLxFsd5EFwrg4cqzWyeJLvsyyXB7F8Ok9e26hHbeznaXcBgSjYjukzSx7ppZQ0A5pcz3JGYZ eSCtK66MB0F4uXYiYfM1v2yCrXNqo+FAHM8qLPnRrqZhJWcOJ5tGRN4qdITLRmsBl2mOAh2WM7It ksFhVDAxkGelI+x7G7s32EfoOhkbVcPDaPaB9zXSwUZGhjh6o09bb7HJyryCoJr3OwYy23wAgRU7 0I6pBpF8/k0MCDumpvkTABjxcVksOZeevwmWeUoehM7Pvzc5sdok7UnsV3e6xCFtIC+fUieHiu0Z dY4sJZnRSGdOnI/tAFj5yOVqK9ab0pHxSg4JD70VJQMOoLcynwU633a7IWixPQWBSlvJ9GDgXWbV oJ45615Pn02c0aZmRuvrsJuz3VLnf3K9rg8cdXEvtmWmAUEt3VpTlfJmjzgsjDn1vQ4Kbr8Rmf40 LsF/LJztjyXras3mZSSNesQMyItLBjOxLjt1e6vppQML+nYelTutOHLSgHxixjgOosFgAQM79VQQ q/awsDggUzqboFGHobA0DMz5pWEV/Ed5zWkschMjK+4/nDKtPXp8Bg5402i4s/ic2SwxIHNq6RCh zUywFJcchwvjBJBqyy8whdSXbrJEPjVQgPim2YuFUSfK2kRkVRiEYUhVbSrGE12pHvQjFXYKSR+j ia0Q5TZYhVTtAEX+xiOnG2wBkW6vqSEgpGw8eiJKbHl8ca/2HRXDLh66KnZZTZo8MTnzSrVn0eOI YLSh9JCJB5UgEBSouucGmwYWR+utE4qcpQwdxoJ88mVKKCQnrqZLzbFe6zVVAxPfxIELirf0E5PG A1nPJ5/YxHG4pV8zb95ttqQZjsYDipduSGIiPt1US1mbEFMR0+mj8jXH8uN7TGJBtaE5xfGKfq8S it2ltnSpM6fI0vbS9sqY4F5HWxzIQWWjiivV7Y3VVPi8YavlVQ95hO62qUEhjzcR+VZGBY7Cyn0o U4qQLe8FkrdaDtWvIuoIzOCJMYICOVFBXg+9yJFqy2CL/IAMd2IywbdCTrVB63JiXkB+ZJoy5cAW eiZ1lLearNQVqnqlnjhELdu7huBxXiiaLKFx5tQmCypNhr68KLpQ8Rf2L/ff/n56eKW8k9KWjj0E 9GsKYqyZslGWZFBEz+TdS7g6WfElzc1v7MeHp+eb5Ll5eQbg9fnld/Qo/Pj06cfLPYrCRg2/VECl vX+5//J489ePjx/RL9GOMpLvrgnHIKKaXgm0qu6K/E4n6eObFy2XTrswltSJJlSQ6nal+BD4lxdl 2WZJNwOSurmD6tgMKDjI6buyMIuIO0HXhQBZFwJ6XVNPdjIBY7GvMP9yQUZdHp5Y6+EjsYtZnrWY AV4X15D5tGeGcxjQ0GVPevgaVF6nWR8TwKy6K0rZ1E4l3J2/x78Ht97ZhQiOXNG2R83mF0gN961u AwUGMa+vGMVMJYqn+57c7bLWX+k7nE6dvWkmihIG0uxpwUVnUsYAqEY7hZeqY3qd2Oc5mZNsrXYC Zg69BM/4Tuh+t8WJ6etWT3JeZAz44qMlxxsPLjZ66B6cJqxr64vVFkUENQwDbBRH6lJJ48J4ku+O 5jfeY3trBHsynV4au8BSK+3lSFwcG8Xx1qArrkGB1ytg3Z1H2lopzJyD3d3VWhuQNDgTlkk6r/y6 p7aZHtO/X72coKQqpLMTnjBYzJK4NEg9B0sSR/IG5CmowAY4rbMalrjC/iJu71ramROwICVPZgA5 1XVa154xD09dDAKMuVC1RWrE78fxam8NnoabZRLY/nC/MedzT4XdlPFrdiINggye5Cg6M44XDg7e Brh6W+w4vORuHTqyTWAX1emP42Oi8kshfQfj4ghlLF8Yb8jAcogJWO909U72YdM76fWbPbmDyz1h d//wz+enT39/v/mfG5jUzrD0gF2TkgnR556Y3hci5Tpfrfy13+lWoRLgwo+Dfb4KLXp3Aonr3cmk wrK/9X1jnRrIAanGIdqltb/mdpnTfu+vA59Rp5OIz8N3IJVxEUTbfL+K7PqgIzAvbvMVfT2LLIcL SJHUxSaCdccD39fP4sYFwRzXn3N85qE9QUqdm4wuRmDh/MpkcuScnpj6QwLKhGPkkerjucxSqnv2 ufSETN60xHMBjGNH8HqLa0PNDW2QZsr3hMmDqRWjmyBB2nhWY2ri0HEDZjBtYmrr0VqJIbxaRo2T dgFJ1D0oZ4u19ze4VNNO8Ao2JXUOOzHt0shbbagBZG1ySaqKrrs/oDcHp1+T3lh5hieBKCzQj0zv e1nbYWH6OmfK11CLqI+VbilbaTMVftghCJHU6PlokJBypiKszKHDOc0akySyd7OlEuktO3MQHk3i nzBiRuskpY+wrQJdTsZcgNZCYF5ZctL1bVddcnIc2mU8vasYWurAblm3DlcH7KXSgq91CYunI1Kh bFBbJ9ecEjsQPWXtrsZg8DISqDkQ1k3MSBoKmVDSlVfY+YuUdYV+XS6fMovDo17TEQ0hzVCnw/s7 ck4GOuxxfJF2+iEdM6ks2W5AuUyzxH5Wn4pn4XUaI6uCqKf/ltq7rtOPNGNupgzNZFlZ1hif6n32 /9HaaKwROhgIoJtnGNqTpmIkdeu7mM3x+pKfTUohpOhr9VvWWbe3rnmxy3b1jiyEDcEotasVaSqu s3VMJMz6XkeQ17qZzADlLMnsx/bxTB2ToU6sGQBjLd+3ER9yQAYtwlxRrG9cVsFx2jgSb1WDwZ9l YKlCCjwnN+p0BzNX5S+Pj68P958fb5LmOCahSp6/fHn+qrE+f8NDn1eiyP9pdtl92zC6EhPtbDIP mGCkiape+pjy4jIfOFlaFA6gSYvc9czs7YfCopYX5bzugl9kg44X/SZ5cRiNCe6jI3Hke3hRLqj2 FZw0V+5RzFOy65KTSKmyos6vXQ06wMnU6tSr7vjTw8vz4+fHh+8vz19x+xMobd7gvLiXjdfPIoee /Xopu629KbrqJ41JYxI8GOOs6+ydVeNzvs1Llzd7PCpxrQ1ySDGQY7+E9TGx5PpKhG3Qv8lhDbax lB29zcqjmqOwyHOq3jNGV9xenXGzWjnSP+hMnheDgPFrfPSZy8h2u/YM10eNrlvWafR1GJPjcbsO aT/giSHyArJK0315pIdBHJH00NGEMgkjn3Tl6jl2qS+PG2aV7kCkTuo53bKjHMkiCMuAaLQCiAco YE01W0Gk36XBEdGF137pSHxn8IRvz1TF9yt10TZ4Bs+GVot1nsgRT1pjIfU4g8Gjxhrppp21hZnB DzTsciFmfQ84awxUsAgCWJNrh0TIqAMjQxiUZJ0X0Mx8YodM2cb3AuphKZ3raoAzsfECYgUAuk+3 PhOgvZMesRqDTwyjotOj2GOWcd0oHnU8cnkKDyt/VdXX9jZYBcuTk7PLNl6RmrfBEoQbNm+mhEJq xZSIftlsAFvfhQQbYrVQla2ooeCCx1svup7xcKpiJe3yRDCjcNwxQs4BSdOLYuI7QmATb50A/SYl uCWmaA8slnJNAITjyO11YvM5gnxOXMGKHt4eemPbHLjIZQRBGFBi9gyIcwgU6qo19Pz/ONqM0Ntt llxk7fDhkJ9s28HSBp9leqYe3HZh5MjHqLMEy19u220wqX16Xmg88HjEDJXkvnUEFDrIdAmx78pw tSJWXVBVOUsFIQgMCP1G1Sk96GxNWeQFJfSKos170Zg8B5A8KBEvjqAQ3A9WSxIEckQrQmDpAXpW DKDqHPXYdRg54icMPB0LfJdGPjCE1Jh3BSiMpN4E+rsfklaWBkdEdBeBzYb88gGyvQsIjo13cRXe OLLEajwg6C6JyB3s4muPWHC7nG3jDQWUp8BfsSKhhFoNpOenzkBOgJEh8C50v0cG+rx75BMB8/0N GYp6ZFFiFtEKREJizz2mzAso4eXM49AjJhXSfVJKksjSu0GGmK5SLU1UlRufNnHTWeg4EToDITog nZbOEHF4xRksS2oSMmwcfd0QKhnSY+JrA3pMyUqKTs/JHiOnI3oXrIiJLun0c7b0Ni+RZU0HWehQ JjoDqYgiQkd6GhgEi2OPmOrv5UHJNmqswGmaXLgJlzQHNEQNiZ1S0snGAhLR+dJ6hood43BNTAcE YuozkwDdAwUtLoINw+B7zNdP3cxDHKOI2mMxR9X12BWlfQI1wdbZu9x09y1rDhY6ntL2B0iHIp3f fh8Kw9wDfl538mDrDnauNqv2HZ2CFhhbRh/dHA+k4RtWPd33qvO9b48PmFUNCxBBt7EEWzvz+Uo4 aR2JcCTaWMYFJnrEuwMnvMvK24IOc4Vwcsjals49reACfi3g9dFy6DJgzhJWlu7iTVunxW3myAkq HyCNOd2wSrLsxOHt7uuqLYR7/DIurjkt0Em4zCx/fhN+D813ovuM7wpHKlOJ5w6DUwShYnfuZMlw 5+7VmZWWi5ABn4rsLGorSIzZtLtWXtE5GQqMUOJGOzf2J9u17lfanYvq4AjMpoalEgV80AtNKxMZ dtiNZ1V9oi2m1KzdF4lM57zAUqKh0AJ+l5dMuN9dm6mp6a6hSNoaY+m4OWpMvbgw+zD/cbE8haqO PgRHrG67jM76KD9dVmFYp7JemN5N1rHyrnKvbA1msUwWKsBE6C3OU/cn3rQF7MNOWLBiqRuCcXGs aGNOiWO0YMzR6OboMub+iAHNSkyvmbl7AA1oSke4QjlXuPsl7TH7NxMLS6TgrO3+rO8WH9EVC98D LCQiy9xvqTtgVrt5Mh6DCdPEnq+NcETPAI5LUXF3I95nbb3Yhfd3KWyjC1+Uik92PRzpxIVyLy0b 6wHDZRyxxU8p1QyJZKxQZoMrUrK+WbHRQkAjDiLHUeyu9SEprmguDtKTMmOfbq0R7+08dCEIycdS JhGiRw0Z4M/KFVoBcdYmh+uBievBNKg9khGLsISKFSQHAplkButJKhrpzd8/X58eYEjL+590aq2q bmSFlyQrTs4OyPBfJ1cXO3Y41XZjx8FeaIf1EJbuHQHuu7smo3dRLNhiHmZxLjpzDe45ONdsBptz i2YpGefG6U5PdlqYCpSbzfTRUMOQO0iFWeLJHyL9AzlvDpjZj8xiNT4Ri7st3BEV6YEMb4UYK5Pa yPErW1PkHEq5KyTPh9WjQNCuD1aGXESS3cYRugLRE3oApfCXo94j9KGI4PWs7LYm7w6OPHWyJ7U4 FDvmzGWHPNxMljwgIGh2RXJr9KOnzcdbS+ojvj89/EOExRrKHivB8gxzMByl3fKsqPud21XJ98Q1 nW1E/pTySHUN4guBtqHuF1plZxCxUiOwPP5WdrSzXmKQRmuBmEjSrOOvz09f//nN+11+sO1+d9PH dfyB6S2otfnmN7UvgZzIf9cr7V6ePn2y5jua4mPUtAKWV1qYklmG4a1XlEKYYngtNCM0+jtRHe8W E6/NXLWA2CeJm75mpI0RC0AwrkCeMNFaywba52bnYp9yw2g2Pcs0dEAlnT7QNgdLjBVhXu/yWgDN zGvSlBdH0jhpY3zAEle+54Yt2QRRA3iWrbIin/TUGaHPZTcRzWb3BJXgd7Lryq+NGo9x7JPPT49f v2tjzzAb97WTvTPGVy6lP+ev6NoyeeowVLk75oOBlpniGz3ZzHB/Z0mnNlBVjzWTgILxQXNsCS2f WI8f+3S8pIUAKVrznTmk6/VGd0suOHY+KQrpNGNEPPOiWzIuzJDREpQAPWyp/DmAU0DVntzWchxC k4xTep/BUiKEcqcxUBnJdcD+9a+pbZjUGM32dyVM/5xoos5guDJpgFtFk09316rJXrpn4BHvjYrc JDRpe8ITo6J9pw8uQiksoD1EzQVMXGXeQSEJlImkdojRxz4pUn9A5eSpso7WmGQFIM07BEZMH5RH jtA6p5yUInHtGgxop5FBqhnNSFEwptpxvhGiJdzr88fvN4ef3x5f/n26+fTjETY1wmzuLdbpgaA6 3Vly4/B9dmyv3DKnWVPjQRTZb+XPYx7yD+eC9//8+IaJlF+fPz/evH57fHz427DxozmsdiiH5mGl YV8/vDw/fTB2MHGAmUQ2DvastsYDH1HT02F2xDO4H/eP0fo52OSiOks6UO3FFY0C8aM1Zm1ViDsh GsdBIfqYOY45eC0caaWKtbkwKdfu+9d/Hr9T7tgWMjT4UpS4KwrpJjutY3mRlSnmTVaW/cNyyAUM J04ZYVoNo4dFjwwpNcvMkIGxqFz/qozyirxtkt77dizRk9xO7gMDLToPqBFXaiBaksHxTCvE70oy qTt04XrK0BXmejAi5B0az+F1t6/LNC9cp2Fn6EJFZgNNZNZO8fzjhYoLm5S3ok1UktpJ90ExFfOE wRTpovVOd7Ijq9MmGyvKXU1djhc150d0n9A2TUmatG41/x6/Pr48PdxI8Ka5//T4XaYzFfNl6i1W 8zlShMwNAXMAVPDuBgTr7tDWxz2lZ9a5YtcEomC7GmmTXILUJDkrhFoYkYE1Y0nZoxZUje+P316e H+bvqM143WXoXKK/CKKEqunbl9dPRCUNiLPT1yl/yp3YpvWbinZRZdY4dgOdjXoPit4YH1SJ89PL oyaSKwBWzd+EysJef71JML86rtIPTx/h5aWm1sK+fH7+BGS0SSdydVOwKofL/gdnsTmqHENfnu8/ PDx/cZUjcZU679L8MVnKv3t+Kd65KnmLVfI+/S+/uCqYYRJ89+P+MzTN2XYS1+Yp3kvOPW4uT6An /mdW57TWo0H7KTmS+x1VeNymf2kWaLsTx50jbzNKrMsuXSLzLg3Z5mHzn8fYH+tS7ENMNnIF7Vly wbZrMhFSz2C7GPZkTDMVOOI2TiwyopS77qarQiMgc09vu3i7CdiMLngY6gZQPXk40bMOSWrHFWVB SpxVZ/gkwU/Qh6ldEpEi1XzDkKBO6zrdAQHJmHO6qfU8Gkjt6rq0+LI2t3haVgm5TWiNOvHMPpcd Js+Z64eC3M4JLRMXgbqed5rPFBIx524UG4nVkNyd6cvhHrtaOTLUqTYoJA8wy+cX7VMq60nEhLbY usZwzG3XM1bToPukkqLGinY1Wg1g6HyfjKGp5E4oWyeG5azMPmpKXgaCpmtDdF4V2v9wBxvtX6/y i9YyuQ6JqA+auqwRQbhoimtqwLuEX28xWCLMXF+W1Icfygx5HFL6MtZkOdDTXGcSRdbSwdyBCedF wS8xf4ft0aaHbPwlK7UuGGBzYVc/rjgmetfPpHUIe2j3jrOmOdQV6O8pjyLyrSFbnWQlKPLwAtP+ mGxIuGu8ibEI3t6aQbQTrTfwoz8FmtYIIJXN3MuueXz5+Pzy5f4rLK5fnr8+fX9+oZTGJbZxLjEx V8FMLcv4KnrFa1dUadbCpKW/kFHN6oulTHPEr2CV4NZPezkYQqxmKGXx0UjmfPP95f7h6esn6mZK dFQsGXXi1xlB6Qea87x7ZHBZ2IwMXFAS5fSAznihI524iRiuyuZ9HBU40EJnZ6INvoUpFK0LlJEn qCNSdHfj+3YsIUyrOBtPTsYqOcKjYx21I41cRZKtV6br74hxlhwu/63syJbbyHG/4srTblVmNj6T POShL0kc9eU+LMkvXYqtcVSJZZck72z26xcAm908QE32YSpjAE3xxE2wuGCwYSVi/c3SviugiST3 iYPte1JiNd2oaMtUT4mm9qpkKvQ3IsGQMOHm8OKJp6QNK31BSypK7YzXotBT8OAvFBCOOlCnwvu4 H+6aKnJLXWlunDZ3otTKh2rqYLIi1xa9MsSdNIOkv8CewMDQ21nrIgdBRS2WXRBpL3UlS1QA9HOr IF2Ipm9nVh4TaYLlsufSCTXYp3mM1fBWHjy0BRKiWpXmzXoA34EEo/JJ2or0QPd8ORRhK9JG5Jhc nwdNWyV6T2u7jFxsA4QEUCFlowuBRHCRhLZojIddCICeB8zEkKuMV8C5TYUVCnr6RVDllhtPIvzR zdtJ1nR3/AUJiePy3KnVqNHWO2ibYlJfdfqKS5gBmsCkIGDY9REAxr96l6hOUMCipMHKaGWEYVqR wJp5HfxzmiBIFwGVvEvTYqFPkUaMoov3E2tES1hgGhvneBjJsgSmqChXSoZG64dvRpXCOgK2ppcv kwB0gja1uXclYoaPkk6rgK2L1tNYxSkUuAj/wDlIRd0YDiLZJ6k5HDZvjy9nfwIDcM5/XyxD05MQ MDcDWARDvZP2xag1IbjEEmBZkQv+VVWiATU7jatEO8nzpMr1X7U0gSYrTRcRAUZuxKcvEM0yaBqu I7N2Cmcu1H+lB9EQNN6UUOH9KpGFYNSOV8kjUzEN8kZE1lfyH3UmRm3MnfrRvVfLcBqMvUkyY7hF hZEkao2zU4kzduYMDcA+xiQ8mWAR7LIJL3JKfBmXd9ECv8LiGXp/OSNUD+fCH8qn9+Xd9vCCpZN/ O9fiXkiA2de0g64u+ds+BtHHXyL6yOXHGySfzDcdLRyfvG8R8T4Gi+gXeuurOmUR8WzcIuL4uUVy aa6PhrnyYoy65haOu9RkkXz2NPz58saH0V+FsL658GH0WuVmDz5aQxN1gXux++T54PxCd/7YqHMT RdFme4LUL/hXTVH4lkzhL31Nc/ccdPw1P+YbX3v+raoouLshxmAvzZkZ4J7pP7e6OC/Ep65iYK3d Z0ydAAORLX+r8GClN7r5P8JB42qrgsFURdBgMuKzg1lVIk1F5GKmQcLDwUqZuz8BllAa5DE3HpG3 gtfzjRHzNX8VCWi0c1HPzP60zcR4eyNOOS2jzQXuci3eLwFdjnVVUnFPGfRD6oYemDAMCxlq2Dy8 7bfHn24OCV6Q0LWAFapxty202CmdaRRHSVWDVgMLhoSgDE95sRX2LfFKAebzJrGfoLczGJKxk108 wwrA8haB8TJx1ErLA2QuueiaSkRG5qoiYX2AEmVo0WBIoYVRF20VmYk2oDuKiEwPLMQs6zBzKUh9 GG3sm555lNbZl3cYO3x8+Wv3/uf6ef3+x8v68XW7e39Y/7mBdraP77e74+YJ1+/919c/38klnW/2 u80PquS82aGfYlxaLUnvbLvbHrfrH9v/qhrgg+UkGhwCmId5oaeEEQKDAlQyTHXeTHNRNGj7aySs 5evph0L7hzEESOy9O2h4uE2KQeff/3w9vpw9vOw3Zy/7s2+bH6+bvRbQJWIY1dQItRrgCxeeBDEL dEnreSTKmW6tWwj3E9BeZyzQJa10Y3yEsYSDkud03NuTwNf5eVm61HPds6JaiIqMIQUOCWLabbeH G0UtexQeKC47yvgQy47jE9yUi1w7zU8n5xefslbz4/eIvE1ThxqBbtdL+tcB0z+x0zAYqTPgXMx4 sIf+8fQZmb1rtXz7+mP78Nv3zc+zB9rPT1jT8qezjas6cDoWu3spibgOJVHMBfIHbBUzrQPvuksu rq/PPw+O6rfjt83uuH1YHzePZ8mOOoxPbv21PX47Cw6Hl4ctoeL1ce2MIDJr3ql1i/hMI/XRDERS cPGhLNLVOV8FYTijU1Gf629HqdOY3Io7ZqJmATC1OzW2kLI5nl8edS+C6kQYubMzCV1Y4277qKmd nZNE7rdptXDoiknowEquM0vmQIDMXFR6eSu19WdqLt0TjRdBmpZbJkxpNm5NyLjA+vDNN2dGtq3i dBJoN76EMfkX9k5+JPNit0+bw9H9sSq6vGDWCMHuZC1ZLhymwTy5cBdGwt35hcab8w+xmHCbeubL BFWryGxnmyaLOQNjQF4zv5sJ2NUUljsxn1UWc8cEwfrLQyP44tooTjYiLj01MdTBmwVc9YMRiw07 p3UWXJ9zQgIQXMKAwmaXTtfxqnYSFq4YbabV+ecLZkyL8tp8ukbqGdvXb2aqmOI4NdNPgFrZJBY+ b0Ph8oSgiq6YvVcsJoY1YSEwkTTTQypqcwZZAuZSwCBQzfd9VDfXLPTGgcaJO4QJLz7ns+A+cMVn HaR1cPHBPVc9x2f4eBIzawa6Qwn2yamt4U5sk7hT0ywKmmuHVsLVrCnl8+X5db85HAwVe5icSWqV sFZc/p7za/fIT1cus0rv3c4DbOYyu/u6Ga4PVOvd48vzWf72/HWzl8mBljEwbMZadFHJ6ZpxFU4p fZrHzDj+LjGSu9pDJ1zE+oU1CqfJPwTWXUgwGaNcOVjUHPtMSk6pRFRn82IPmVebHygqStfx/g4a Cf7fwV7gzR/bevmx/bpfg7W0f3k7bneMIE1F2HMaBs4xDUT0Qst9SsClYXHyEJ78XJLwqEFzPN3C qGDaZxHRsWfQSnaCSozVrc9PkZz6ea8aNI5u1DtZIo8Imy1G0L3iicO2kRB5mz5O7vIiTti8LdDf XAMFhQtmzbrcFGStwjCSE7pJ2JPi+BqflsYmGJl82akmPKK5U1+f0gjivvuntPja6gMlCfccitWz /qZFUgL5ccH09yW1rWehHDyYVSf41kCGM/3hijHUgCIX9CaTH9VFeX59veRJtFxkF4kXNpe+B4A0 uigChehvxpGlxVRE3XSZen5Mo/BG+4N6leHbN0CGrju81DyOSkOWbZj2NHUbmmTL6w+fuyhBX5yI MDtiSI0YvZPzqP6EMfo7xGMrkoY9TlH9UV39crIsJBbNdmzFSA8R0zzB0hMySwJzGKg71j0XydE3 +yOm8IIJLGuqH7ZPu/Xxbb85e/i2efi+3T1pl2SLuMXL3IK8m1/ePcDHh3/hF0DWfd/8/P118/xu OAQU79M9qZWRrOHia7zfZmKTZYOJROOUOt87FPIBgasPn28Md2qRx0G1srvD+VdluyBq8ImQuvH2 fKSgI02hdLqgp2LpvzC3qslQ5Ng7yt2YKHGbunJ23EcB5b4w/Q/hZCZ41UybK5XCiTdXZE0qBzUR Ob0sAMMJ9acIo6KKdWlEEW1M2oiychnNppSFUyUTnQVEcGxFY6jV0fmNya2iTpqi7NmOOtG0XaOL DGkW6w0gi+zjCh4uQiRwWpNwxZe9M0j4O309SVAtgoZnRIgPzRcXAXjDW8Kk/Oh07GtMInTdA5EW eLT9ARU+zJNpEzKiQENHM4CKRJlQTHmz4feoI4DKlxpH7V7qNhYUDAO2DdD1mV8kC4CH8z0B24Ah JzBHv7xHsP13t9TfsO5hlFxbGtKzx4jght8FPT6ouCDYiGxmbRY6v4f3/tyehdEfTA88fthxxN30 XmiObQ2R3hvXtnVE4YFfuXyAIiqYZKdLv7qIBAiQuwQGWRlXqYPavC2eg8Xb1fKSeEpV5ywcXY4P yk69mKSzFcQFcVx1TXdzZXChIY9mUlSYJw6EbT7E4DTWvBBFkxrvuFKjmPLtEfz1NJWDHluRN8tk rEw7gmXbVZmekx3fam76aVqE5l962FNNQYp5Rlqb6X3XBNp3orpFLV9rNyuF8dBqQbWzpiBtqpU1 QRQpWwSp/j4RguKkLBodhvJM5xWDzHJEjhnFUwoBQV/3293x+xnY7WePz5vDkxu2lY8l0TNPhg4k wVgYjw+iFHldUH7nlJ4TGUJFH70Ut61Imi9Xw5z1SpPTwpW2L/rno7z7YpWFBap6SVUBpV6YgR53 gv/G952GCfROyuCB2f7Y/HbcPvdKwIFIHyR8706h/K3eCHdgmMzYRomRGqBh6zL1ZAdoRPEiqCY8 19OowoaT1NMYNnlUidLMT0xyinplLTruZknEFYOZVDCnlKD6BeyPT3rEGtoDnoN5/hkffK+SIKZf ACouZw/QoP9Ax2H360epKGErgnYImFTkhk4nhwp6IuUrZKLOgibSeJeNoZ53RZ6u7DYkh1okwRxT EZBr6Pvjl3eAcZ22P4Dx5uvb0xPGn8XucNy/PZv1O6hqH2qn1a3GPkbgEASX6/Plw3/OOSp5ycgZ Vs1w4zasgxyUI7AGcVqNySacvitcYi6hhIgwnzYFMyZLckOvInOHSNgo/i9NlzkszChNnMFikuUX o47Q2JjG3pDFgP2B5RjN1APZCuJJsnDGHX5bLHLDpCM7rxBYltL0HZgYnB6aRi49xCLFonF8z+AU cUdaElRFHDRBZxV+IZTMHK7dRnsEq5SzhJiY4WldPg144kcwrfQEz1JkVdQSO/gFUjisKOGZ+xEs ec/jlGAZTtIMbyP1eytLshT4gDsKhTnRLZn10qIY44QTsNW4p0nyWHJZ93fuOPbYb3G6U0pJMsz+ kIwLFTXO0UdjJCYwD2q9Dp+FwDioqVlFEfENiXU8nRJMo4IJtZNzxhNoMe2ZIIYno61IdFa8vB7e n6UvD9/fXiV/na13T5YBnQPHA45eFOwYDTzed2kTo56PiGiPFi2W+dGmr8G0+lmbY+W9mhN8i1uQ HSBB4mKqC4bTHZf5cSAvHt+ofpnLjOSOsJ+iJKCpPRBsvFKg8peYts1pxtHOk6SUrEk6KDD/YOSy /zi8bneYkwBDeH47bv6zgf/ZHB9+//33f44dpcs+1CRVdhkLSAzaYXHH3O2hz7DbNseo0DHdJEvd 9d5vjL6qhsPdefLFQmK6Oi0WZaBbLv0vLWqZcG9AqWPWNkcYPrfqHKwe4T2VYHihTlqnie9rnDOK /XDVsPS5AhMOrypZPHwcJKf9/x/rqRpsqgDUHTiBkzSY6kmOeIoJqY+DtCaYLCzZB9ZgEveuixOM cC457t9TgEADnmqWLNZ4wnepFDyuj+sz1AYe0BPnaNr9hRiTG3LAeuquD13nEtYzqT0FyY68I7Ea FVXVqktqFgfwdNP+qQg0f1COQFFzywmC0GPVFTpYgByHYu2RUcEGsYnX+B13hEGhf82MGElQiJAS PjDLi3Md72wQBCa3TMnAsaCJMTrrCN/26nc1Kt6a9T4rmjKVsrVJ1HV57vwAOo9WTaHZ+liLlXqr KWwk7iZtLk2D01hZ2J+lUZboRM2GH9ktRDND87+2f0eiM1JfgADdthYJ3sSilUBK0BDzxmkEY9Yr C4gDl81q+4aGgUUxOqvPshuRyXbJ3RC2k4k+dHqUmOgNPo+rAjp1X4TCmTCtKWK6CyDUXTIl6JQZ HC2wY9hxOr+n/F72D/WErnyyV8m7/r6l1/wgQ19pMji2Aci6mEyYr6Vsl3D2iM4WsI8ZAmMcalfU zuLWOSh/s8JddYUYtERzBULg6LBwfbFDlbet3/4jeJADtwwwFCM/8FQHlyruiVG20GCY+CdQnR9J oHFxz6H7+/M2rGs/lMreG84pHC9u9nPeBMA5Sx/jVFvP8DXiXU/AiOnUqCIoG5RnSeQoBi0cHYAu BH42y4LKsBH0szQQ8Nxeo/R1ntvWcYJ3X72UqvNBSi5hnEx+E+CDZWzKweCJiBMqDSFqyRVMl5i8 X9HTOOLygLF4Rl6amo3LCGSUv4nbTFumJKjS1fhK/CC1rB/R3arN5nBEdQu1/ejl35v9+mmjWyrz Nvfd8en1DXRRFlW//laYV+08cvwMFNqWDUQq/QFKhx13K6ImqC2yv241OfiJTi3TPCr0vGZpDYLR B+B+vs24DNJzqgUcL9AnaGfJ8pC5IezTedzwOiV5kChoW8Ni+km82FCptaRBn1CQQkzlPIGnQEmR FhmKDh8VXfTH83G6sd534eEn0qi4uTKvYemjnSVL3MYnpkOGDGRIxHNlqqero5Kv4SNzFYCiKfgN RQQyBM5xxUSGpjNKEDc/AjBVrPQ327b2OwQ6dklhLT8eb/FPgK34KSoMyDboEvLTeDOsCStivraZ 3LHzE9u597L45oyy/ajwwLM5l+XEhmBGw6wgt9adUdsEkwNgknkxoTcxEVUGRp6uEdK+cKoAyK6R gDi1nej2mv+aHhIBT49A0eGMatUIms3C9STDl8LirT0aMLZxfJJbOxfFZKTsf7C2QWxaZwEA --===============7993872340055318693==-- 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 7EB74C433DF for ; Thu, 11 Jun 2020 17:44:10 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 4C792207ED for ; Thu, 11 Jun 2020 17:44:10 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1727866AbgFKRoH (ORCPT ); Thu, 11 Jun 2020 13:44:07 -0400 Received: from mga05.intel.com ([192.55.52.43]:13279 "EHLO mga05.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726972AbgFKRoG (ORCPT ); Thu, 11 Jun 2020 13:44:06 -0400 IronPort-SDR: soWxkE4RE0r4BbmAKtVZu828laJ1oRz9T7icfsOOiZaXDj/+mmMMVubvrgsG4GrJnemog5fxS/ U98UbqnVxCxg== X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga007.jf.intel.com ([10.7.209.58]) by fmsmga105.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 11 Jun 2020 10:44:02 -0700 IronPort-SDR: ZmzmAC75EgnbuNUn3+UQVj+MyQJ5PYGRuLQ1SpAN5dYClPNeAgXGyqyGP0gGfSNwebK7qtkEiu SrVHWEuyO3Lw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.73,500,1583222400"; d="gz'50?scan'50,208,50";a="260579576" Received: from lkp-server01.sh.intel.com (HELO b6eec31c25be) ([10.239.97.150]) by orsmga007.jf.intel.com with ESMTP; 11 Jun 2020 10:43:59 -0700 Received: from kbuild by b6eec31c25be with local (Exim 4.92) (envelope-from ) id 1jjRF9-0000JZ-6I; Thu, 11 Jun 2020 17:43:59 +0000 Date: Fri, 12 Jun 2020 01:43:03 +0800 From: kernel test robot To: Harald Freudenberger Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Vasily Gorbik Subject: drivers/s390/crypto/pkey_api.c:1606 pkey_ccacipher_aes_attr_read() warn: inconsistent indenting Message-ID: <202006120100.vAwRFHVk%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="7AUc2qLy4jB3hD7Z" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --7AUc2qLy4jB3hD7Z Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: b29482fde649c72441d5478a4ea2c52c56d97a5e commit: 55d0a513a0e202c68af2c8f4b1e923a345227bbb s390/pkey/zcrypt: Support EP11 AES secure keys date: 4 months ago config: s390-randconfig-m031-20200611 (attached as .config) compiler: s390-linux-gcc (GCC) 9.3.0 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot smatch warnings: drivers/s390/crypto/pkey_api.c:1606 pkey_ccacipher_aes_attr_read() warn: inconsistent indenting vim +1606 drivers/s390/crypto/pkey_api.c f71fee2711a788 Ingo Franzki 2019-08-20 1569 f71fee2711a788 Ingo Franzki 2019-08-20 1570 /* f71fee2711a788 Ingo Franzki 2019-08-20 1571 * Sysfs attribute read function for all secure key ccacipher binary attributes. f71fee2711a788 Ingo Franzki 2019-08-20 1572 * The implementation can not deal with partial reads, because a new random f71fee2711a788 Ingo Franzki 2019-08-20 1573 * secure key blob is generated with each read. In case of partial reads f71fee2711a788 Ingo Franzki 2019-08-20 1574 * (i.e. off != 0 or count < key blob size) -EINVAL is returned. f71fee2711a788 Ingo Franzki 2019-08-20 1575 */ f71fee2711a788 Ingo Franzki 2019-08-20 1576 static ssize_t pkey_ccacipher_aes_attr_read(enum pkey_key_size keybits, f71fee2711a788 Ingo Franzki 2019-08-20 1577 bool is_xts, char *buf, loff_t off, f71fee2711a788 Ingo Franzki 2019-08-20 1578 size_t count) f71fee2711a788 Ingo Franzki 2019-08-20 1579 { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1580 int i, rc, card, dom; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1581 u32 nr_apqns, *apqns = NULL; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1582 size_t keysize = CCACIPHERTOKENSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1583 f71fee2711a788 Ingo Franzki 2019-08-20 1584 if (off != 0 || count < CCACIPHERTOKENSIZE) f71fee2711a788 Ingo Franzki 2019-08-20 1585 return -EINVAL; f71fee2711a788 Ingo Franzki 2019-08-20 1586 if (is_xts) f71fee2711a788 Ingo Franzki 2019-08-20 1587 if (count < 2 * CCACIPHERTOKENSIZE) f71fee2711a788 Ingo Franzki 2019-08-20 1588 return -EINVAL; f71fee2711a788 Ingo Franzki 2019-08-20 1589 55d0a513a0e202 Harald Freudenberger 2019-12-06 1590 /* build a list of apqns able to generate an cipher key */ 55d0a513a0e202 Harald Freudenberger 2019-12-06 1591 rc = cca_findcard2(&apqns, &nr_apqns, 0xFFFF, 0xFFFF, 55d0a513a0e202 Harald Freudenberger 2019-12-06 1592 ZCRYPT_CEX6, 0, 0, 0); f71fee2711a788 Ingo Franzki 2019-08-20 1593 if (rc) f71fee2711a788 Ingo Franzki 2019-08-20 1594 return rc; f71fee2711a788 Ingo Franzki 2019-08-20 1595 55d0a513a0e202 Harald Freudenberger 2019-12-06 1596 memset(buf, 0, is_xts ? 2 * keysize : keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1597 55d0a513a0e202 Harald Freudenberger 2019-12-06 1598 /* simple try all apqns from the list */ 55d0a513a0e202 Harald Freudenberger 2019-12-06 1599 for (i = 0, rc = -ENODEV; i < nr_apqns; i++) { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1600 card = apqns[i] >> 16; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1601 dom = apqns[i] & 0xFFFF; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1602 rc = cca_gencipherkey(card, dom, keybits, 0, buf, &keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1603 if (rc == 0) 55d0a513a0e202 Harald Freudenberger 2019-12-06 1604 break; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1605 } f71fee2711a788 Ingo Franzki 2019-08-20 @1606 if (rc) f71fee2711a788 Ingo Franzki 2019-08-20 1607 return rc; f71fee2711a788 Ingo Franzki 2019-08-20 1608 55d0a513a0e202 Harald Freudenberger 2019-12-06 1609 if (is_xts) { 55d0a513a0e202 Harald Freudenberger 2019-12-06 1610 keysize = CCACIPHERTOKENSIZE; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1611 buf += CCACIPHERTOKENSIZE; 55d0a513a0e202 Harald Freudenberger 2019-12-06 1612 rc = cca_gencipherkey(card, dom, keybits, 0, buf, &keysize); 55d0a513a0e202 Harald Freudenberger 2019-12-06 1613 if (rc == 0) f71fee2711a788 Ingo Franzki 2019-08-20 1614 return 2 * CCACIPHERTOKENSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1615 } f71fee2711a788 Ingo Franzki 2019-08-20 1616 f71fee2711a788 Ingo Franzki 2019-08-20 1617 return CCACIPHERTOKENSIZE; f71fee2711a788 Ingo Franzki 2019-08-20 1618 } f71fee2711a788 Ingo Franzki 2019-08-20 1619 :::::: The code at line 1606 was first introduced by commit :::::: f71fee2711a788b94ff0acb02fbd2bfe2de7e0a3 s390/pkey: Add sysfs attributes to emit AES CIPHER key blobs :::::: TO: Ingo Franzki :::::: CC: Vasily Gorbik --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --7AUc2qLy4jB3hD7Z Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCBp4l4AAy5jb25maWcAjDxZc+Q2zu/5FV2Tl6S2kvgYO+Pd8gObolpMS6IsSt22X1iO 3TNxxceU3c7x/foPoC6SguTZ2spYAEiCIIiLZH//3fcL9rZ/frzZ39/ePDz8u/iye9q93Ox3 d4vP9w+7/y0itchVtRCRrH4G4vT+6e2fX16Pzw4WJz+f/HywWO9ennYPC/789Pn+yxu0vH9+ +u777+D/3wPw8St08vLfBTb46QHb/vTl9nbxw4rzHxdnPx//fACEXOWxXBnOjdQGMOf/diD4 MBtRaqny87OD44ODnjZl+apHHThdJEwbpjOzUpUaOnIQMk9lLkaoLStzk7GrpTB1LnNZSZbK axENhLK8MFtVrgfIspZpVMlMmIotU2G0KqsBWyWlYBGMFyv4D5BobGoFs7JCfli87vZvXwcJ 4LBG5BvDypVJZSar8+MjlGPLqcoKCcNUQleL+9fF0/Mee+hap4qztBPJhw8U2LDalYrl32iW Vg59wjbCrEWZi9SsrmUxkLuYJWCOaFR6nTEac3k91UJNIT7SiDpHYZRCa7tCvYgcvl0JhXjL /RwBzmEOf3k931rNoz8Sy0fPrEVGImZ1WplE6SpnmTj/8MPT89Pux37V9JXeyMLZOi0A/+VV OsALpeWlyS5qUQsaOmrCS6W1yUSmyivDqorxxJV5rUUql+SEWQ1mg5irXUpW8qShwAFZmna7 Azba4vXt99d/X/e7x2F3rEQuSsntPuSJq5gIiVTGZO7DtMwoIpNIUeLoV46laTvPtETKScRo HF2wUgu6jaUXy3oVayuw3dPd4vlzML+wkbUnm0EkAZrDfl6Ljcgr3cmrun/cvbxSIqskXxuV C50oxzAl16aAvlQkubuOuUKMjFJBrqVFU2spV4kBfbWMl95ER4wNvYGGi6yooNdcEJ126I1K 67xi5ZXLaIucacYVtOrEw4v6l+rm9c/FHthZ3ABrr/ub/evi5vb2+e1pf//0ZRDYRpbQuqgN 47YPma8GuRFIk7NKboTL3VJHwIfisIORsCKFic5AV6zSJLbQ0oe38vyGmfR7FtiUWqXAnso7 SZS8XmhCS0BqBnDuLODTiEtQE0rMuiF2m/sgbA3TS1P0WZnKfUwuBHgdseLLVOrKVRifwX7n rps/nL287hdccRecgMdFJXwcvB+6udjoRMbV+dGBC0cZZezSwR8eDZok82oNvjEWQR+Hx40w 9e0fu7s3iG4Wn3c3+7eX3asFtzMhsF3X1u7puiggWtAmrzNmlgziGe4pG1+Vqi60Y6LZSjSK LcoBClaZj1oZzRPXe8RMlobE8FjD4Hm0lVHlGXXQdKcBqaXtWIWMaC1u8WU04UpbfAzqcy1K Qs1agqReiSpdOkwX4HIqVzSgBchHi3Hn0fYRiY3klKFp8dAQ9+pIkLABYqK7ZRHPTcnafGrf gOnuaVjFPOsLXh18CZgNistE8HWhQCXR0laqdFy3XSAb2NmO3T7BicD6RgLMImeVv4zdOouU OW5wma5RVjYSLd3YF79ZBr1pVZdcOPFiGXVh4qA80TjCGlBtfOhSX1KOxZI6gaH9duJBCNxV AU4HonQTq9KulSoz2EiePQ7JNPxBrU0Q9NgQpZbR4akXUwEN2EUuCrSrYPoYd5YC1GL4aKzn 8B30lUE4J0FbS2/BQNMzcA2mdf80n7gKYXgQJ7CL01FE1/tkz6yF3ybPpJsVrFyeRBqD2Skp mS0ZRD5x7fFRV+Iy+IStGci1AfOsuOSJY71Eody+tFzlLI0dNbTTcQE2EHIBOgGL6LLPJB2L S2VqmPyKjlujjdSikzK1I2GUJStL6driNdJeZXoMMd5a9VArP9yBbQwxqNF4gVFVbA4QewkP xJ4XBHvAnYgi19JbueMWMX3wOMQb/PDAS0msJ2sz+2L38vn55fHm6Xa3EH/tniDeYODjOEYc EN0NYcRE59YYNkiYg9lkMC3FyfjmG0fs47GsGa7zit6wmEWxyizLNbnCOmV0yqLTekltu1Q5 HghbgwqU4JHbzMzVwDqOIUu3/trOlYHB9oxIJTJr/7GAIWPJuyBtcGexTL1owBoa6wC8ANuv I/S6mTmh2DUE2CZyM3IMe5aoI3kkmTMsJhbgK7rQxOEYMr615WCM69KSZCsgDyAQjTUZA3u9 N3ZanpXyI6RWgUCcVpoOGeaOlniAQZYiFbaDyM7JEAsuzUUty/XkKDVIfSkctD4+Owi9rMpg wBgcYc+1M8SqKQKloJOpPj/xNl4KEwV19BPnHjjaesXL8+3u9fX5ZbH/92sT6TtBpttxZmdx fXZwYGLBqrp0p+BRnL1LYQ4Pzt6hOfQ66WcycEHuqYGFWTSOT5nabmhixMOz07kuBT+kyzxd 8+NZ7MdZ7Mk0r40oqzr3IhH87uwFnRUiwaQUW6wvRB+Hw45GBMnN9DclwQY7KcC2MS2/FkmL r0VS0jv9uJRuDG5N+LikNYJnzk7PS5sFnJ9+7PVXVUVaW7vn2olIaCze5EZViSgbgIOvXZPZ Ujf5X5v+7R52t/sF0i0en+/cjWlTOuEaYfiwcef5wT+HB83/nFRx1JNvdHRWhXYo4yFkqdQ6 hEUl27oWqoFWYB4ho/UqKsk1aA6lV4A4OjkISI8nFLTphe7mHLrx+UhKrE45UZG4FF49ym6l EsJalc1VU3O1LKgI6BKm6RX6O4hRsZfT9XDMociRegqMdUkKcGbo59EBkJHNnEG36pTtHp9f /g0PBBoXZSuMEHCCx8YBQg/Wo0ehiMU3jbrybbsZ3qMp4a9NOFJLpYsUvGCRRaaoMGZwon0F qaEtqWDUocoItO9sMI2QCCRXGjmFba7PP54OpQ3Ii22U4Wx+THlDoP00q5pBbnp0cjrI357e RFeQREN0YanIZfCk3NSaf1Fe4bTv8SLyEwcnkAATE9c5x6BNnx8efRocpYbgI8g/eKI5ajwd bHKQRa1JXn3OLGvR2+NXgH39+vyyd3nlJdOJieqsIHvymvWiFBztaFcaLJ7/3r0sspunmy+7 Rwi5Ax1M5BJ2m41TMbPUstHDIYPIaLUPex1y922YmuSiktF5O9PN/cv+7ebh/v+688QhNK4E r8B8YDG2xiO6hqlVLbSj+UWwE3jmJ4VFkdoAHDMwemUg+jPJVQG5dkzlf81h1MY5X/AZckcD MqKHDZ7lmNwvVzXADRaKppqMyZvzmSach/BzxfjV9JysoMjFCmTeebnP+93r/tVVN9tPnW9l jmXcNA7PI13P1rb2Tj1vXm7/uN+DzwPz99Pd7itQg24snr/iuI4fbdSae9Uu6yUCmGoSJhFo lAMelqKJ8knx/Ab7x0BiJ6iyi+1RxJCsScw46xxWepVj4Y1jpT+wlJjo4uFqJXOz1Fs2OkQN k40GWoqKRjRQA3oeByUni/fKN8PZmiVNvMDAIiEbBAnmlVzVqnbG6rIziKfsMVB7gh3MDa0c GPpKxlddMXBMoEXVepMAuWU5pnStpa5srasqa7f02kxAZyZTUXtuHQqkFCttGKqfdQjNGsCu DsWA1RGqBILtKTgWWdo+0ZpSQh20ZB5L1HUalnjd3hbAwneYZUGcuGJtPNr+NZJus+DN0cSo hGbRLbQ5+p/ARaoexxK4OgZD7OZQs7tMQBC15ZVvolVp5NBTYmudkYHt6uXUU/D2zoZdqdYl qNKeJQa9z57nDdoKYhL29AALjO93gTtlYsPlGI6hhcBTC6xZkNNVcWUi6PcqXH8VdUGd4FgZ GvCAqlOwAWhasCSL6kVMxaJszIzpRrD0qrjqbqVU6XhPpbKJ7/pyjyPwFMtIS0BApBVp5+YH Lq6WK10Dy3l0PEIw7he3WkWYxx4fQYRoiMWw89xkrOgjw8EX9lDCfA9LXYGFq7rcodw6teoZ VNi8WQyyuYcaSj148uMUK6mQoh+kCfV5eVX0Z9grrjY//X7zurtb/NkUSb++PH++f2gOr/th kKydwNwAlqz1jm1peigpzozUR1eQQeA1Cgg+OD//8OU///FvD+G1rYbGqxI5YDJc+Mb4oBsK a3x4juC6S1tR11hiHi6FtSuimwQlcysH7aYKAW0ikyrX+bWoOm/BQz3IbdOg6brR4M6m8JbP kve3tcgToGE+I+Z0l4SRmG6lxxidsMNZnhqao6OJiphPdTJRk/Oojj9Rl6B8mpPDI3IioMPJ +YfXP26A4MNogO7+1BwTWEnemkxCJpM7Z69GZrYaTDatc7C9YLWusqVKaRIwAVlHt8Yjnskp 6ubaRArRmX9mu0zp2L9g7Ylxt5l1fhgYqOZmI/gOvG1YXvm5+RSFWSYzRO/08W0d+JejJkk0 G1UcXDLcWbPMNATz7LQ08wwNRKPDdpe28aNzcrYU34Ce5HmgmOTYI5kWoSWbE6FDMM/OeyIM iGZFuC1lJeZl2JB8C36SbYdkkmufZlqODd2cIF2Kd1h6T5Qh1UiWeFP5nR3SH3CxSmHKVWZO 5cX6z6YxuBu1zd0gu9xqCEQmkJalCdwQLTWH2DAPVhSWwgYr4p/d7dv+5veHnb1jvrCHvXsn 8V/KPM4qjGVHkSGFsuMNCAwCK7fum8Z+vaAl1byURTUCg1Pg7rClaFPBPk6Z4t8t5A41r3Fd o6/YDsPYK3H2SkgB3ik4i2hSg6Y2i55N5O6BwFAdvsSyraBQG/gPhsdhAXlEMR7U+iPLkZnB Y2GXwMdMV2ZVF8FarYUo+raONk6UqH14y7QXyfgE3WVpZfcGdZjfVLBt9bo5LfoYXBywaQkd QMhVyUJs56NRCiyKSlOFZ1lr7ax2x6Bdkwz2ELY5/3hwduqGEuNckroZlgqWc8YT/87TxJU7 XOkh+SRJrgul6DOO62VNB7bXmrrTMcxVlCXGTbbM01yLwOtkxGRs0ckSYPq59pL15tR9YzN9 d6pgVzA5n75Mu8L7epBOJRkrZ1PDohJN3s28hGh6Qw+bt8/T8t3+7+eXPyFZcrb9wCtMSlAT BzvuZJL4hUcD7jQtLJKMvq9UTcSjl3GZ2aIWfaNbYLZ7RS1EzTfDHVoW22+Hm8uosJcZBZnI yqCoLYvGtHEW1okHAhZt8OJeZEoFPom6DQpERe5e+rffJkp4EQyG4KUCYzA1GBKUrKTxKBVZ TLwfaZCrEs/xs/qSYLOhwFPuXHjplr7KwbaotZwoPzcNN5WcxMaqnsMNw9ID4LIYRh9EWRzk QNNIWaBhnFjtYbouENU1AFW86MB+93VUTKu3pSjZ9h0KxMK6gKFRtG3D0eHPVa9t1E2KjobX S7f+1tnsDn/+4fbt9/vbD37vWXQCCSqpvZtTX003p62uo0+nrxNboubyqobtY6KJygLO/nRu aU9n1/aUWFyfh0wWdE5vsYHOuigtq9GsAWZOS0r2Fp1HEIDZgKO6KsSodaNpM6x2QZQtsk/s BEtopT+N12J1atLte+NZMvAttPfLCtCKaYxtOPWeD1YGnxtiERxdlyuJDgUBh62SgvfLiqnL rEDc1M9J7LKYQYJFifjEBCS+DZiwseXEkwBYGU7MlFX+6WyVQVwjKWODqJT516oQlhWKjngQ uSyPTj/Rlav0aGIGy1JGK1o7NsCA+XRwdEhdvI0ED7xfA5n2a2nqWBn4OHIcb8XStWuCNvbk Wljwo7sUUURJ6/LoxCVLWUFdbS0SFbB8mqptwagIVwohcOonH72N2UNNnrZ/2OvvoJo5MDvb URtIOOE+4+0Qj65T7V6u2IDq4m33toMo65f2nU1QB2/pDV9Sa9Rhk8q50tsDY0j/woGtho6A RSnVGGoN0MUYXrq3sTugjpfBvm7Bc3xX4iKlWlVL2o0M0qCitQ4LVmLMdMXaSY46gxiIdkYd QaQnAu6OAP4VhFSjshzLKbugha3XS4sgpMETtaYypg5/EROLxMHtpOPh44spDGdrQY3uL+AI nSTxDGuFFCQPDXzUGSa9swurqQUkLqI2W+jh5vX1/vP9bXD1BtvxVIcMAAhPXSRl1zt8xWUe icuQC0RZs0idBHQE8ZYasT6mr6X23eoNZRBd9Km/+nYssHtjKO/eVYWzdl/7uF34b3o6TIY3 vdnE/UEbfmfhXfBRH4xPBAqNhsjY2wkRp8x9lGt8RKbwNwGGyS7BwjEsRHh53gDt/twQPbpU 7qG0A4/cUzcHnnMSnGGqOMFI+6Ca9toB2Tyz9inVxChYgJgKqFQh8o3eymC1uvCgTYyHiXWQ ICHqwalSxdK754h3DqSiuvIRw/NaV1VSma+nU6WsmMgPUY1yTU0p0eXIgtjpQ0Qy2VV6DCqv Mb+Zo8q5ppKH0n35Wsb2JbVrfi8L/7FP86YSO0R3QNXJBgqeMq1l4IxLfAasr4z/Am15EZh8 3N7tL3P4FZ8F3nMjopBiXa0EXUm0KWupIGlUuaxUEIG31adR9wHCrTT1c2X5sLHhA1NnH7Dk mbugCFptKakB4rfDs+Oz7l4mABbR7q/7290iern/y3v/hcSb0dibyxFIpyMQqEjIEGcpx4vC mP3m1E5GojgVbf/+ZEpOhq+IW28Y3vIquBRxNBrUTDfk/NdfD0YNEGiknnji3FMUKavw9sFE 3zKW+O+YoWyGoUKw9TAPV8C/MbyI7wNFppGYAmZcsnDg+NPh6cHhuzIMm3U8TbGcXlKtWoZD ORIUnRyDCavYXu2igIZrV3t1AbzhO8LPN7e7QHsTeXx4eOn3kvHi6OSwiV26n2EYd+NPp3mx 1rw5p6+6EPvIyVljMEdlQVcUALnmlBptZcYc3u1ny4l9knb+abCnawlWzlmDBmJkXtRUgNGi V0UYgp8FYdFZ0XqoEdgy4hyrMRn7XxQFNh5ZBonXNOm3m1wUiQl+i6ZjI+aeC4s5eMiVpJNT xObuVmkBeOAZ9oLgmpE/k4HohI9a6CRKvbVt/cjNyyK+3z3gQ9fHx7enNgBf/ABtflzcWWVx HxlBT3FUhJ0DyMgjMhgHbJGfHB+HTSzwnUZHdo6+QPD2eiikBoadkfBGfq70Lou2E1+oDXiG KX0cb8v8JBilAbbDO67ym0TrnNNoBlHSVPIoY+FVVYgSYRdq4+X89myuBUEYAmqaurcvYyZT 1QTjfaeiSiql0i6aG2nLlA9urjJz5x50+NH+gJH2gAKvCCxrL6bqTlOxDZJQlSMAM+8NbAMA Q/Kb4JU7IcQYwUtqPW0rXXg1wA42+16yJyow6cJLGzO9N0R4H6IhJUdzfkNioisTFTxsaoqK ssgWtdz64s+0HAH8H5Zyu55MYxCnq3rp98XCd/3QtaKDb7usJeWnLYZ5EbKjCyTQ8AZDKo9O JlyZR3Tsv2ttHiVBHHH7/LR/eX7AX9K5C7UdG8YV/BdCg3De9mVM+6Jham0u8ZX9ZRfJR7vX +y9P25uXnR2YP8Mfun9s5amAv6YIMO3TnAAqijEMQxgaOtGJRQU9mQxS+Nw9p55jv4l+bu52 +JMKgN05Yn11XpS5A3MWidy9SepCKU47FDE/F2XCR0xjCkG/Y3t/Av27M1pxeqUST3dfn++f /CnjCyr7qt8XdAc1DSzWAbqI7QGOuxTeEP2gr3/f72//eFeh9bZNrivhebH5LoYeOHN/uKcN 7j1xI8RebjZcTvx0E/QRvEtsp/HT7c3L3eL3l/u7L240coV1/mFU+2nUUQiBvaiSEFjJEUTp RC6d/oro9NejM+/I49PRwRn1A0ONAPAtCF4J8X/hrmSFDJ51Dg/T7m9bd7pQ4YWturm5n4i0 cL2dBwaT+f+cPct24zqO+/mKrOZ0L+5cS7IsedELmpZsVfSKKNtybXxyq3K6ciZVqZPk9lT/ /QCkLJEUaN2ZRT0MgA/xAQIgALZ7LS0SyK1tUZv2pSsMNP5DSSZWa1m5ZXllXnDVjWoozZri xBoVWradfEX6/Pb9f3D7v7zCRnkbu5+e5GzrXUdfMTZUiN0eWhuoVTSU+jpylYyUtMt1v3Dt fg0aCsYG4Z2W5mN3VXKkezaNs6Da4Eqlq8mO5DXboJNZqSsUHHdwX/aiYp/p+0skY+Jc8iux jMwjmhvSNWLg0KGtJJ0mBmro4yGHH2wDh1Gb6X5/TbIzXOrUbynd2jChh771sKLQ9bBrYd3X 9FoYVuP2lDXJKE1jiKDYM/Tb2hzS1LRoIzKV3FpGCZGT7thScqFu/nzX9JnRMFl1bUIHkuol NC5VgdzNLcvZdYBLoWUBxF8XWM3o2mUCC0zyRyFE1qQ05rDpRsTY+5byaKiMTANVin5creO+ H7D31ebTOD0AQMdAI7wUYMYUVqkdQgwQ1CZyRjl21azp8/eM3EWBLqyL48iRDORK4/nxNE9U eSwSTVAa1S4drnxjn9+/TDVZtg39sAO5ujI0Bg3s0AN1CkOzBNZQnOU4DaB6D9ym0nww2ywt VBzxdwMUdZ1nHDRcrANfLBd0gAxsg7wSB2DKsCQm9p6roAv7Ltf2Iqu3Yh0vfKargZnI/fVi EYz9URDfsDmKpBRVIy4t4MKQyrVxpdjsPWWvtOCy8fVC8zfcF3wVhJrfwVZ4q9g3XQdaOEtR g6uDXhAih0M0zKEJjXJUa0TqKxn8IrZpYlho6mPNSlJ0575cwr1NL0mAtRZUVgSFAZ3IEbU0 4qlcND1WhdOPQ9ODC9at4ijUDlQFXwe8WxHQrltOwdm2vcTrfZ2IbtJAkoBOs9SFSutDNTa4 ibzFJEWfygz89Ovx/S778f7x9ud3mUjt/RucxF/vPt4ef7xjPXcvzz+e7r7Cxnz+if/VcweD OKILoP+PyqbrNs9EcJHGU2r16ESOPY++SgwFpTq/LoHsx8fTy10Bi+U/796eXmTy+olOc6zq y0aPdgeA9kOqi43yOB5TcNyoWDvJTw8aE1G/Bzv1JWmaCmUKjkz5PEYlJnyvcQQMOoBv41Vz sTRpiWla0Tms6nu2YSW7sEzvuMFoVSIHvGdTkOnYIBLj0vQqqAKDQHkwQ73Vb5nhRewSmRJl FBIVLq92O+saR81dkiR3XrBe3v0N5MSnE/z5+7SDIKgmpoByhVwqy8I6IEpblpgQVOJMShs3 +6RZAnsDv+UEoEJNxjvlqty6LpLlOUVisIMyzQ3NuR5kopEbbt1twuikSQXj6L/m8Ohzoo6d C4OSrENa3jl866APIqFNQtB3+J+oXDnI200/8LR4fqD7CPDLUU6OzJTiqPyYtLT3RX/p7lpQ ZV44YkVYw0vS3x+9EpUCYegiEuxcE4h1eZP2fpGM5quITUo3Ds5ZYKj0akI8HFRR5Ie0y40k cDtfAhNM/MWCHnIk2LtRsA4ql4ECb4zUCFKHNybOKHWnQpx9UKK3wGADXlmmZmkQCXgY0YLC SBCv6fV1rvcVGRGkNcu2rG6tDGcKhKdZg2xppoJdYrKWpPUCzxWDcC2UM45RhGbmSZFnvBIu b8ChaJuYviWg7Fki2YhS53Ir5j6iYJ/1o8NAGWH18DP2PO/i2pU17i2HG1g/Y2XBc/L2XG8V eGnZZozuUsNpOK6vytq7uWt/5LTqgAjX2s891zDPzfcBxA3D3qcgl3ITx2RuPq3wpqnY1tod myW9KTa8QNZPs8RN2dGDwV3rp812VUlnk8TKOhKjUumiNuAq6HKXGz8YDc/G95aUC4JWZmIX N3DH7GAMX7s/lGghg+++OJLG6yTHeZLNjh4MnaZx0Kj+XWrHwZxnDwfbQDpBWn0kBmGf5ML0 ye1Bl5beCQOaXgADml6JI3q2ZyBLG/2y2RlRBDNdlcaG2iVFVmbDGUNLdvS5r1W8NY8CFURF Bz3opfA22LDF5b4jwTWsBsc1plZfUhzyxMhUs0n82b4nn/v3d8aBlJBLWaOfawknFTr+X2z+ MK0pPXzKWnEgjuO0OH7y4hlut6uqnZngbUfeAWtF9gd2SjJy92axH3YdjSpbM5ovofOlJtLv yqJzCD/ZjvZiAbiDDWSdqwggHI0gxlXd0tUzQLjK2Pbeq1ZVeAt6IWY7muN/KmZmqmDNMbFS 1hwLF3sS945wHXF/pu6J9IagFVZWxjYo8m55cThuAi6c2Ft0rDjdRKeUq6Xen4w35mq7F3G8 dDxYBqiQZqsKBS3SPuf34jPU6rIrWP2pJju+5H78aUVnAgZk5y8BS6NhtKNlMLO3ZasiKei9 Wpwb00wCv72FYwmkCcvLmeZK1vaNjTxZgWilT8RB7M/IUxjh0ljJQIXvWMDHjgzwN6trqrIq zCCQdObIKM1vyi7Qzv+NSccqE77NoVnn1IgTf+IEapeuHaqx3vMjyBvG0StzW20tjWBasLo3 vhnoq5ljXkXmw1jsstK8H9yDxgJrn/yUc4L3lGk2o2LUSSkwJZ9eLayKOdHjIa925v31Q86C rqNFu4fcKVtDnV1SXlzoBzIOWu/IAS2TZgbdB84i9Md1mXKveNs1UiNAK7crbrYpZldHszXv 9leL5cx2bBLUUg3xKfaCtcOkgqi2ovdqE3sr6qkCozFYSEyQzKvB6I2GRAlWgORmxMcLPMJt NZgomei5TnVElbMmhT8G3xApPfICnUhxvmcWtchyZjI2vvYXAeUxbpQyNhf8dL12ACiPfOpA r60QnGBMouBrj6/p8zKpM+652oT61p7nUDYRuZxj+aLisLWTjjY9iVaeasYQtAXGgM9P76E0 2VJdn4uE0Uc7LqGENgBzDH5x2ALL7DDTiXNZ1aB1GxrIiV+6fGft5GnZNtkfWoMvK8hMKbME ehqCdIVx78IRld/OmnyO5qECPy/N3soUZGCPmN0/a6kLda3aU/bZuopXkMspdC24gSCYM80M ropD2f7ilHXZhI1SxRva6okIv6aNrOl2S68TEAUdbB/Fc+KxvbHV/dn1VqySelFoXa9DR/6i OnfkZalrGi6sAuou7Hd0Nv3RR1b1d1wTX7ycaw4kvOVmqLKZIQd4w46GqKSvWkX8pMJJtYvV m/2RPd6/vn/89v789ekOQx/6qyj5XU9PX/Gp7tc3iblGi7Gvjz8/nt60izRZzem5YN0d3me9 PL2/323eXh+//oFvUYw+GepO/YdMbqa39fEK4/fU14CIcbyG75itXlv4M9kFqNsRDZuy+yR3 qMIjFWvjVZP6Ab33NMICqJaflrN0nPuhP0vFtmnkO7Q1vVHe+At6mWtU+5PIaEZ+LFD+pi1m 6o7MVVIGMvZBB5PNkf34+eeH86ZYRggZk4KAS5piarHclXRVEWFopevmTlGozG73BXPlqkGi grVN1tlEsu+H96e3F1xwRoCXXb7C9Kw3+/GpOt8mSI5zeMtrXxtaV+iGKnmfnDeV8uAdFfUe BiurDl0L0CSK479CRImwI0l7v6G78dB6i3CmF0gTzdL4nsOAMNBs+2DmZhWHtynze+jvbRIM YJunkAvVkdxiIGw5Wy092ltOJ4qX3sxUqPU8821FHAT0Vtfq6aIgpC8oRyJO79CRoG4832FO utKUyal13HgPNBgjjzawmeZEW53YidEX3iPVoZyd2woYAn0/oE1HAGt+ZqjbU75cOI6Mgahr Z/vDWQ2axExj6H1aF6QhQGNWmpsQ/rzUwidAF5bXgoJvzlsKjNYF+LeuKSQI+qxuM05WOCBB yjFcqkYSfq5Nv9URJVM7XuMsRulvwCcgv+N9NS0kjp1I0CTvMGlorVUHvr8ns02ORCm+k9Hf kU8bKqzAOIVSHsA3WleZmrD5G0QbXoRrh9uBouBnVjuSeVbqLQgMH/dvjcNRdF3HblXiZIz9 tw4Tfruhkc4VoTucr5jPznFfIElk9jZHtkhFgCMrQGVwGOn7/ZMJl4EpW9I+k/vHt68yXAEf 4ELpR8/cmzS6T738iX9b76VKMMgy6gA1oTwztq+Cgk5EQFXahlGXkcDe0QLIaYVHtSL8whU0 2VfT8Jk6WL25TaDOSkFdrhzUQI1OkaxIeqddC3IpBQgiBDxfEsCkOHiLe4/ApEW88HSliprG 0a+TkHGVpPjt8e3xC6pOEzf1tjWeTDy68riu40vdmiYS5UQswc7xZHkfs1RuXW5/ZfW5Kkh7 yWUnjIQe6rFeZ8q5/i1fdZV8reOQ5/03XnstEzFi8Ir5EAaIvtYbdwC5L0x7U/962Nvz48tU te6/N2FNfubyekQFErz++C32QbJ8V+Wk4kk4dvfFQeAJ6FtYg6AztxXA0SadZ61pDjVR6ONu eyE6KMtG/l/8w7MozKTjGvBaOdH+J0GrbD1aZGlGXnBf8ZyXXT1pVIG1Zm20t8pE1HVWPISN dmPMmKQJ1ohO6rE9H/vUsp1MLTCDd3beQQdST810AcQkN7MZTHG4dmTa/H8sbxBt2GHbYK55 zwO1bDGZriztVt3qxgrtbXi1uPRjYNdgEsyvSuWwZteCzP6vFMW1rL7aXstN7U+GC2Dj4g/8 SaupyC957bwA0qmyEhP5ONJoDDunTDoZMpjtMg48qbEPR9zySYmvEluq4vAcocGOrPoxrhAl PZ2NtphwHyRVWlKRKJLB1jWmLRkDbI7XeEHDhA9QNBES5XuPY4JPZKAuXPZwSORkw/tT//qX 0dAVKHPFNvKJ0ltlJzlcRox8FF0P0gIhFyZjyvqVefnui/s8xShKqdxzY8wxeheTsC3pl4RH 9FKPbeKNvzTyC2Y1utBPLVJDMLWje8Mns3KnnqCVY6YFiXH4U2vGYG10zRQWktIRYN3j7OtT CwtcFf2gk9xqvkfBrslKdNElseXhWLU28thikoum6s7GOr/2pg2Cz7W/dIr5E0LX9S8sf9st UzO928NuGJOvTZWB7zAgIcqjrUGC5zVuW4qNIOrY+v7CFHM0+OSM2Re4cY0ERJK8Smn1Rr6M 2rKaYrPHAjTuZmtwrWPBKe+NoirxFR0zJQwA5Xsw1LaX7R6Lg3anDCdHfja08ytEJlzQax4Q VUpulqlQrOlR/dJvDkK+kkgrWzoRZuZXYeNTAyksu6nJWRctcGFL0wms/coED6/CjzwAoXsg Tigei9jiMGT/KP58+Xj++fL0Cz4T+8G/PZNvLcs92WyU9iMTeiYl6bjT16+yZlm9UnDrAYEJ Rd7yZbBwJF7vaWrO1uGSunU3KX5pYaU9okl2U2CRd7zOt7omdXNkzB71qRDsh9Q1iqs1ZZhv 9vLP17fnj2/f340pBzlrVxkvqFyBNU8pINO7bFU8NDYohRhQbl2O1fwOOgfwb6/vHzezdKhG My8MQntiJXgVOD5eYrvA6n6xjcKVORN97IMJzJSGq0OEGdaBsDrLOiqfrjwSpP+UEdgrwdLP ChYkvXvltGWgpq9pntvjVwF1XvfI9aozu36UGQdNAJxLQ0gncgL58vndHxj7r6bg7m/fYW5e /n339P2Pp6948fl7T/UbqI5fYF3+3Zwljlyt34AaeJuIbFfKVBqmkmYhh2SD1hhrJCJnjug3 uy6HOxyS2eY3DXWfFLgdrQ5UE9O6vgI4I9IkqokoVFIZDWbmQEp+AZv/AUIyoH5X2+Gxv0sm zmjZmkoN4Py2a+qAPNvtyTd/fHwGuhKXRD6mLquvPr4pXtN3QVsC+n2zc0cb34xJsqwFPzdp mBHE6cA7kiDjmSGxkugYXZ/0NtCmhmOaZoD0OXT1L9ieNAQlDNSGzwz8dGYRQ1zfwL8NWDLM BUp4xeM7rgA+8sTJ7SWWUqqx3TY6qOC/yrfS0Qng9BumP/ckgYcWKkzzswm+BuB8/w/jC687 zYKf7HyjPbTItpjIxNEfJCh0CyYC0YaCeioxwI4djKi8iBaXPK/tPqDiS4v/iK1gV2Sl9eV1 x3zDDAMw9CWUvtkGVHAvBpa88M0KlP3Imusu43bfOnT3dPRsYBga7PO5fCjqy+5BpeEYFk79 9vrx+uX1pV9B1nqBPyq7pz5afS5slSXCQLV5svK7hfWhObM/SILU49HWZymMihpDYb9tKipt owAdWy+6Fw5P5prIkNXWd19eXr/8NyU7AvLihXGMz2nzaVLH3u2m95FCP4bS9c5L744DfBL4 89dnTK4DTFs2/P5fOo+c9kfrTlbytqFGAJcz9GEc1x4gH/TDRFd9DuzQ868UVWodtNciWfPQ xw4MuiFyxinxkI9dh/WJkiyovOtejLK7eqLt++PPnyATyL1InFayZLTsOrm1yRmVJIqNOUZl yn0kdHtitXHMSGja4j8Lj1Zj9e+7lR9a0TW2HiHB+/xE3xWoYdrEKxHRSoYiSMrPnh+5GhWs YOHWh4VSbQ72ZFmspAdWnTUy+AaoHvArgTYPUeNebC8pCLS66uGe2EFMlNCnXz9hvxgcRtWp nGGsPrFtWU8ma4eJFilPeG3FLayKJNS3P1lqXMEUmsZhZEPbOuN+7Kn4Ck04sL5KLfN0+xe+ 1rc7yZrsc2WFMCJ8s40WoR+7vnizXYeRV5yO9lJnayhmzd1UTJXgvI5Bt6HS6wzDF60mHW54 2IZxMKmN8N8wh1KswrV8Mtwq91B0Ma1GK/wNlw9JcOAbb0maIyX6VMSBZ08sAkNjWonpG3JD 3pzWTRt33eSrZHJXdLc1vZAskkTR+EtrwpotD3yv0/tH9GM4yG/2D3iqt1pONpS8fluTCQq0 LeXZrJ0HQRwvLGidiUo0NhdpGExLYLjSTvtq1g7nrvne+omynahUweyonUYyXoXXhiSuyPBF Xkd+4mvG4TqnLJL7U6FzRvkT9OCtDeoVEnWIqpvSxw/ggtTFap/jaxsFnjblGnzpaRfrBjym 6Atv4XtUAUQYr4uZKGpNmhRrR62BZ95gjSgvishh1mjWPhkENFK0UedRSdEAEbgQS49MwaZQ tK+cQbOiXCQMCjJPm0SExKSIIFqQYyQ4cFNqPY8UdZJsiSrbriZmeSuQOU+oMT0ctSjUyQAd 59MyWXgPB/xmikgjL16EKTXAiIr9lFRcB5IwiEIx7UvBvSCKA7ozaQsawAFfCRfUOO7y0IsF qf+MFP5CFGThaLUgtcoR7097pMRF/VWUK2af7VdeQC7ArI0p0e2K/sSXPlUMuFLj+WQg05iA rUzYLpn2Jm+5v16GLkQ0/bIeYXsImEgje6OBXBM7A+3iXuiR1S19j9gyEuGToyFRS0pEMShW jn74K2IjwMnmofl20g9ErBYrkm9KnEe5ZBsUK4JNI2IdUatRnsGRf4sBKZKA2OeY5JDc6BIR EAxcIpa+AxG62oC+UyWgW9T0F7wO1KE0+dyWr0LK+D0UTcrU9zYF789egulyU9Qa5rogrfoj OiI+DqABCQ3pJqJb2xnQMbmAi/jmVgY51FHs5qIvYnJB5QUZlKmhidkHqKMP69APaO9Xg2Z5 +5RVNLc+p+ZxFFB7GBFLn/zUsuUXzPGCjy+TOYYHQt7CtiRmGhFRRHBLQETxghgpRKwXhIRW 1rywXLCuHwBq5drYDXUxMTvbhU4FnjY3acS+9W4NKeB9UlQDRPBrrmp+e0aJ+yZb2CgS4FoE 40jg6F/qaXQ1hO8tyIUIqNXJd6T4HfpUCL6Milvy1ZWE2gQKtwkks5tWzvfhyr8t30qa4JZk LdpWRNTJKIpitSIWIvA7z4+3sRT+CelVRDFpITAoIpIXMxjT2BFKMkgwJfMXdMiKTtJROqRG EPiu4yC6dRq0+4JTZ1Jb1N6CENIknNjmEk4cywBfLojjE+GODhd16N06Z44ZW8UrNm3r2Hq+ R27HYxv7ZFj+leAUB1EU7KZ1IiL2tlRHEbX2KGuZQeETuoZEENtTwoklquDIrtBYTdaXR3HY ChdqpT8Mp6Fgu+1TFybZp9RgKlPPrc9WZh/duQqPEPKZsRO+97qttJG/Qqxr6QFcVid2rswI zAGpvAKlf80lKTF+gpqfgRwjtOSlAta3mKCvxngVOPz48eXb19d/3tVvTx/P359e//y4273+ 6+ntx6tufhgK103S13zZVUfiQ0wCGD3Nxc1FVFaVYbV10dWOvOEUff+61Fi//cGuaE18XHCc wO8kWGtoHILe6kpMfq8+TytFxMpAmIa2K4LyJBsE3mm1aPxfrNYERq1yByJcEH3v/ZSnJT5n WYOXblOMBIua/Kzra0DUl/0vY9fSGzeurP+KcRYXM4tzpyW11OoL3AVbj26NRUkR1Q9n0/A4 TsaYJA7sBDj596eK1IOkinIWQdz1FSmSosgqsh76PfhCz9sq7CIvJh7cH/dSIwLKSHC5kE0a zqqX2wQv/LjUKtGhu59HPJuVBd94K4BS04gtClarTOyQTj5SHb3b8PSOr8yfVYrJgf04Jls6 nEn/+6/718cP05eQ3L98MFMVNQk1UPAoOqKYgE40tRDFznJ9EFTCxl3Cmc6ukadBk0wydLtM WkZyj7j+zAkQZGgoiQ8pXvSkZzqAMU+uCa8cqHHBqZA+xeVkcPjxx9cHmYrQFYWC56m1GSCF JV28XYfGnY6ki2DjOJEcYPIsACfleHtk18k6P97MEwyYTGilrLLx1tTB2cRzKJPUsDdASLpB rkgxT8LaVZT52Evjry5ur8Qc3aJT+jZX9hmX1kC7iByJ+g0XVtMvzpbph4YstUGyUMrMAEa+ 3TNJpSTBHvRCTZmV/Uw8jA1mtronmg44OmAk6kTgUEQgm8pxMEwgukTmBExoJ3SEoSr6/rRs ANR9a5FgWS7io/9k1Xv4nOqUNKVBjvGWUaPFccPjlTUYihjaT5DkaEVfiKvJcvHWIXkM08Pq vvLnrBjQHSERJoaYUt0meBuQ9cZr1zQAON6uNtabRaI/67okb2n9csIpVU+iXRToh3SSNogW Ezl7L82NG7NFiSQZZXGbNClNkocw4Q3tfKChlkp9wANs5iXuL2stXzb5VO3OUyd34SpwjfF0 F60Tb+NVbNWtxA2TKLKEWLxFsd5EFwrg4cqzWyeJLvsyyXB7F8Ok9e26hHbeznaXcBgSjYju kzSx7ppZQ0A5pcz3JGYZeSCtK66MB0F4uXYiYfM1v2yCrXNqo+FAHM8qLPnRrqZhJWcOJ5tG RN4qdITLRmsBl2mOAh2WM7ItksFhVDAxkGelI+x7G7s32EfoOhkbVcPDaPaB9zXSwUZGhjh6 o09bb7HJyryCoJr3OwYy23wAgRU70I6pBpF8/k0MCDumpvkTABjxcVksOZeevwmWeUoehM7P vzc5sdok7UnsV3e6xCFtIC+fUieHiu0ZdY4sJZnRSGdOnI/tAFj5yOVqK9ab0pHxSg4JD70V JQMOoLcynwU633a7IWixPQWBSlvJ9GDgXWbVoJ45615Pn02c0aZmRuvrsJuz3VLnf3K9rg8c dXEvtmWmAUEt3VpTlfJmjzgsjDn1vQ4Kbr8Rmf40LsF/LJztjyXras3mZSSNesQMyItLBjOx Ljt1e6vppQML+nYelTutOHLSgHxixjgOosFgAQM79VQQq/awsDggUzqboFGHobA0DMz5pWEV /Ed5zWkschMjK+4/nDKtPXp8Bg5402i4s/ic2SwxIHNq6RChzUywFJcchwvjBJBqyy8whdSX brJEPjVQgPim2YuFUSfK2kRkVRiEYUhVbSrGE12pHvQjFXYKSR+jia0Q5TZYhVTtAEX+xiOn G2wBkW6vqSEgpGw8eiJKbHl8ca/2HRXDLh66KnZZTZo8MTnzSrVn0eOIYLSh9JCJB5UgEBSo uucGmwYWR+utE4qcpQwdxoJ88mVKKCQnrqZLzbFe6zVVAxPfxIELirf0E5PGA1nPJ5/YxHG4 pV8zb95ttqQZjsYDipduSGIiPt1US1mbEFMR0+mj8jXH8uN7TGJBtaE5xfGKfq8Sit2ltnSp M6fI0vbS9sqY4F5HWxzIQWWjiivV7Y3VVPi8YavlVQ95hO62qUEhjzcR+VZGBY7Cyn0oU4qQ Le8FkrdaDtWvIuoIzOCJMYICOVFBXg+9yJFqy2CL/IAMd2IywbdCTrVB63JiXkB+ZJoy5cAW eiZ1lLearNQVqnqlnjhELdu7huBxXiiaLKFx5tQmCypNhr68KLpQ8Rf2L/ff/n56eKW8k9KW jj0E9GsKYqyZslGWZFBEz+TdS7g6WfElzc1v7MeHp+eb5Ll5eQbg9fnld/Qo/Pj06cfLPYrC Rg2/VEClvX+5//J489ePjx/RL9GOMpLvrgnHIKKaXgm0qu6K/E4n6eObFy2XTrswltSJJlSQ 6nal+BD4lxdl2WZJNwOSurmD6tgMKDjI6buyMIuIO0HXhQBZFwJ6XVNPdjIBY7GvMP9yQUZd Hp5Y6+EjsYtZnrWYAV4X15D5tGeGcxjQ0GVPevgaVF6nWR8TwKy6K0rZ1E4l3J2/x78Ht97Z hQiOXNG2R83mF0gN961uAwUGMa+vGMVMJYqn+57c7bLWX+k7nE6dvWkmihIG0uxpwUVnUsYA qEY7hZeqY3qd2Oc5mZNsrXYCZg69BM/4Tuh+t8WJ6etWT3JeZAz44qMlxxsPLjZ66B6cJqxr 64vVFkUENQwDbBRH6lJJ48J4ku+O5jfeY3trBHsynV4au8BSK+3lSFwcG8Xx1qArrkGB1ytg 3Z1H2lopzJyD3d3VWhuQNDgTlkk6r/y6p7aZHtO/X72coKQqpLMTnjBYzJK4NEg9B0sSR/IG 5CmowAY4rbMalrjC/iJu71ramROwICVPZgA51XVa154xD09dDAKMuVC1RWrE78fxam8Nnoab ZRLY/nC/MedzT4XdlPFrdiINggye5Cg6M44XDg7eBrh6W+w4vORuHTqyTWAX1emP42Oi8ksh fQfj4ghlLF8Yb8jAcogJWO909U72YdM76fWbPbmDyz1hd//wz+enT39/v/mfG5jUzrD0gF2T kgnR556Y3hci5Tpfrfy13+lWoRLgwo+Dfb4KLXp3Aonr3cmkwrK/9X1jnRrIAanGIdqltb/m dpnTfu+vA59Rp5OIz8N3IJVxEUTbfL+K7PqgIzAvbvMVfT2LLIcLSJHUxSaCdccD39fP4sYF wRzXn3N85qE9QUqdm4wuRmDh/MpkcuScnpj6QwLKhGPkkerjucxSqnv2ufSETN60xHMBjGNH 8HqLa0PNDW2QZsr3hMmDqRWjmyBB2nhWY2ri0HEDZjBtYmrr0VqJIbxaRo2TdgFJ1D0oZ4u1 9ze4VNNO8Ao2JXUOOzHt0shbbagBZG1ySaqKrrs/oDcHp1+T3lh5hieBKCzQj0zve1nbYWH6 OmfK11CLqI+VbilbaTMVftghCJHU6PlokJBypiKszKHDOc0akySyd7OlEuktO3MQHk3inzBi RuskpY+wrQJdTsZcgNZCYF5ZctL1bVddcnIc2mU8vasYWurAblm3DlcH7KXSgq91CYunI1Kh bFBbJ9ecEjsQPWXtrsZg8DISqDkQ1k3MSBoKmVDSlVfY+YuUdYV+XS6fMovDo17TEQ0hzVCn w/s7ck4GOuxxfJF2+iEdM6ks2W5AuUyzxH5Wn4pn4XUaI6uCqKf/ltq7rtOPNGNupgzNZFlZ 1hif6n32/9HaaKwROhgIoJtnGNqTpmIkdeu7mM3x+pKfTUohpOhr9VvWWbe3rnmxy3b1jiyE DcEotasVaSqus3VMJMz6XkeQ17qZzADlLMnsx/bxTB2ToU6sGQBjLd+3ER9yQAYtwlxRrG9c VsFx2jgSb1WDwZ9lYKlCCjwnN+p0BzNX5S+Pj68P958fb5LmOCahSp6/fHn+qrE+f8NDn1ei yP9pdtl92zC6EhPtbDIPmGCkiape+pjy4jIfOFlaFA6gSYvc9czs7YfCopYX5bzugl9kg44X /SZ5cRiNCe6jI3Hke3hRLqj2FZw0V+5RzFOy65KTSKmyos6vXQ06wMnU6tSr7vjTw8vz4+fH h+8vz19x+xMobd7gvLiXjdfPIoee/Xopu629KbrqJ41JYxI8GOOs6+ydVeNzvs1Llzd7PCpx rQ1ySDGQY7+E9TGx5PpKhG3Qv8lhDbaxlB29zcqjmqOwyHOq3jNGV9xenXGzWjnSP+hMnheD gPFrfPSZy8h2u/YM10eNrlvWafR1GJPjcbsOaT/giSHyArJK0315pIdBHJH00NGEMgkjn3Tl 6jl2qS+PG2aV7kCkTuo53bKjHMkiCMuAaLQCiAcoYE01W0Gk36XBEdGF137pSHxn8IRvz1TF 9yt10TZ4Bs+GVot1nsgRT1pjIfU4g8Gjxhrppp21hZnBDzTsciFmfQ84awxUsAgCWJNrh0TI qAMjQxiUZJ0X0Mx8YodM2cb3AuphKZ3raoAzsfECYgUAuk+3PhOgvZMesRqDTwyjotOj2GOW cd0oHnU8cnkKDyt/VdXX9jZYBcuTk7PLNl6RmrfBEoQbNm+mhEJqxZSIftlsAFvfhQQbYrVQ la2ooeCCx1svup7xcKpiJe3yRDCjcNwxQs4BSdOLYuI7QmATb50A/SYluCWmaA8slnJNAITj yO11YvM5gnxOXMGKHt4eemPbHLjIZQRBGFBi9gyIcwgU6qo19Pz/ONqM0Nttllxk7fDhkJ9s 28HSBp9leqYe3HZh5MjHqLMEy19u220wqX16Xmg88HjEDJXkvnUEFDrIdAmx78pwtSJWXVBV OUsFIQgMCP1G1Sk96GxNWeQFJfSKos170Zg8B5A8KBEvjqAQ3A9WSxIEckQrQmDpAXpWDKDq HPXYdRg54icMPB0LfJdGPjCE1Jh3BSiMpN4E+rsfklaWBkdEdBeBzYb88gGyvQsIjo13cRXe OLLEajwg6C6JyB3s4muPWHC7nG3jDQWUp8BfsSKhhFoNpOenzkBOgJEh8C50v0cG+rx75BMB 8/0NGYp6ZFFiFtEKREJizz2mzAso4eXM49AjJhXSfVJKksjSu0GGmK5SLU1UlRufNnHTWeg4 EToDITognZbOEHF4xRksS2oSMmwcfd0QKhnSY+JrA3pMyUqKTs/JHiOnI3oXrIiJLun0c7b0 Ni+RZU0HWehQJjoDqYgiQkd6GhgEi2OPmOrv5UHJNmqswGmaXLgJlzQHNEQNiZ1S0snGAhLR +dJ6hood43BNTAcEYuozkwDdAwUtLoINw+B7zNdP3cxDHKOI2mMxR9X12BWlfQI1wdbZu9x0 9y1rDhY6ntL2B0iHIp3ffh8Kw9wDfl538mDrDnauNqv2HZ2CFhhbRh/dHA+k4RtWPd33qvO9 b48PmFUNCxBBt7EEWzvz+Uo4aR2JcCTaWMYFJnrEuwMnvMvK24IOc4Vwcsjals49reACfi3g 9dFy6DJgzhJWlu7iTVunxW3myAkqHyCNOd2wSrLsxOHt7uuqLYR7/DIurjkt0Em4zCx/fhN+ D813ovuM7wpHKlOJ5w6DUwShYnfuZMlw5+7VmZWWi5ABn4rsLGorSIzZtLtWXtE5GQqMUOJG Ozf2J9u17lfanYvq4AjMpoalEgV80AtNKxMZdtiNZ1V9oi2m1KzdF4lM57zAUqKh0AJ+l5dM uN9dm6mp6a6hSNoaY+m4OWpMvbgw+zD/cbE8haqOPgRHrG67jM76KD9dVmFYp7JemN5N1rHy rnKvbA1msUwWKsBE6C3OU/cn3rQF7MNOWLBiqRuCcXGsaGNOiWO0YMzR6OboMub+iAHNSkyv mbl7AA1oSke4QjlXuPsl7TH7NxMLS6TgrO3+rO8WH9EVC98DLCQiy9xvqTtgVrt5Mh6DCdPE nq+NcETPAI5LUXF3I95nbb3Yhfd3KWyjC1+Uik92PRzpxIVyLy0b6wHDZRyxxU8p1QyJZKxQ ZoMrUrK+WbHRQkAjDiLHUeyu9SEprmguDtKTMmOfbq0R7+08dCEIycdSJhGiRw0Z4M/KFVoB cdYmh+uBievBNKg9khGLsISKFSQHAplkButJKhrpzd8/X58eYEjL+590aq2qbmSFlyQrTs4O yPBfJ1cXO3Y41XZjx8FeaIf1EJbuHQHuu7smo3dRLNhiHmZxLjpzDe45ONdsBptzi2YpGefG 6U5PdlqYCpSbzfTRUMOQO0iFWeLJHyL9AzlvDpjZj8xiNT4Ri7st3BEV6YEMb4UYK5PayPEr W1PkHEq5KyTPh9WjQNCuD1aGXESS3cYRugLRE3oApfCXo94j9KGI4PWs7LYm7w6OPHWyJ7U4 FDvmzGWHPNxMljwgIGh2RXJr9KOnzcdbS+ojvj89/EOExRrKHivB8gxzMByl3fKsqPud21XJ 98Q1nW1E/pTySHUN4guBtqHuF1plZxCxUiOwPP5WdrSzXmKQRmuBmEjSrOOvz09f//nN+11+ sO1+d9PHdfyB6S2otfnmN7UvgZzIf9cr7V6ePn2y5jua4mPUtAKWV1qYklmG4a1XlEKYYngt NCM0+jtRHe8WE6/NXLWA2CeJm75mpI0RC0AwrkCeMNFaywba52bnYp9yw2g2Pcs0dEAlnT7Q NgdLjBVhXu/yWgDNzGvSlBdH0jhpY3zAEle+54Yt2QRRA3iWrbIin/TUGaHPZTcRzWb3BJXg d7Lryq+NGo9x7JPPT49fv2tjzzAb97WTvTPGVy6lP+ev6NoyeeowVLk75oOBlpniGz3ZzHB/ Z0mnNlBVjzWTgILxQXNsCS2fWI8f+3S8pIUAKVrznTmk6/VGd0suOHY+KQrpNGNEPPOiWzIu zJDREpQAPWyp/DmAU0DVntzWchxCk4xTep/BUiKEcqcxUBnJdcD+9a+pbZjUGM32dyVM/5xo os5guDJpgFtFk09316rJXrpn4BHvjYrcJDRpe8ITo6J9pw8uQiksoD1EzQVMXGXeQSEJlImk dojRxz4pUn9A5eSpso7WmGQFIM07BEZMH5RHjtA6p5yUInHtGgxop5FBqhnNSFEwptpxvhGi Jdzr88fvN4ef3x5f/n26+fTjETY1wmzuLdbpgaA63Vly4/B9dmyv3DKnWVPjQRTZb+XPYx7y D+eC9//8+IaJlF+fPz/evH57fHz427DxozmsdiiH5mGlYV8/vDw/fTB2MHGAmUQ2DvastsYD H1HT02F2xDO4H/eP0fo52OSiOks6UO3FFY0C8aM1Zm1ViDshGsdBIfqYOY45eC0caaWKtbkw Kdfu+9d/Hr9T7tgWMjT4UpS4KwrpJjutY3mRlSnmTVaW/cNyyAUMJ04ZYVoNo4dFjwwpNcvM kIGxqFz/qozyirxtkt77dizRk9xO7gMDLToPqBFXaiBaksHxTCvE70oyqTt04XrK0BXmejAi 5B0az+F1t6/LNC9cp2Fn6EJFZgNNZNZO8fzjhYoLm5S3ok1UktpJ90ExFfOEwRTpovVOd7Ij q9MmGyvKXU1djhc150d0n9A2TUmatG41/x6/Pr48PdxI8Ka5//T4XaYzFfNl6i1W8zlShMwN AXMAVPDuBgTr7tDWxz2lZ9a5YtcEomC7GmmTXILUJDkrhFoYkYE1Y0nZoxZUje+P316eH+bv qM143WXoXKK/CKKEqunbl9dPRCUNiLPT1yl/yp3YpvWbinZRZdY4dgOdjXoPit4YH1SJ89PL oyaSKwBWzd+EysJef71JML86rtIPTx/h5aWm1sK+fH7+BGS0SSdydVOwKofL/gdnsTmqHENf nu8/PDx/cZUjcZU679L8MVnKv3t+Kd65KnmLVfI+/S+/uCqYYRJ89+P+MzTN2XYS1+Yp3kvO PW4uT6An/mdW57TWo0H7KTmS+x1VeNymf2kWaLsTx50jbzNKrMsuXSLzLg3Z5mHzn8fYH+tS 7ENMNnIF7VlywbZrMhFSz2C7GPZkTDMVOOI2TiwyopS77qarQiMgc09vu3i7CdiMLngY6gZQ PXk40bMOSWrHFWVBSpxVZ/gkwU/Qh6ldEpEi1XzDkKBO6zrdAQHJmHO6qfU8Gkjt6rq0+LI2 t3haVgm5TWiNOvHMPpcdJs+Z64eC3M4JLRMXgbqed5rPFBIx524UG4nVkNyd6cvhHrtaOTLU qTYoJA8wy+cX7VMq60nEhLbYusZwzG3XM1bToPukkqLGinY1Wg1g6HyfjKGp5E4oWyeG5azM PmpKXgaCpmtDdF4V2v9wBxvtX6/yi9YyuQ6JqA+auqwRQbhoimtqwLuEX28xWCLMXF+W1Icf ygx5HFL6MtZkOdDTXGcSRdbSwdyBCedFwS8xf4ft0aaHbPwlK7UuGGBzYVc/rjgmetfPpHUI e2j3jrOmOdQV6O8pjyLyrSFbnWQlKPLwAtP+mGxIuGu8ibEI3t6aQbQTrTfwoz8FmtYIIJXN 3MuueXz5+Pzy5f4rLK5fnr8+fX9+oZTGJbZxLjExV8FMLcv4KnrFa1dUadbCpKW/kFHN6oul THPEr2CV4NZPezkYQqxmKGXx0UjmfPP95f7h6esn6mZKdFQsGXXi1xlB6Qea87x7ZHBZ2IwM XFAS5fSAznihI524iRiuyuZ9HBU40EJnZ6INvoUpFK0LlJEnqCNSdHfj+3YsIUyrOBtPTsYq OcKjYx21I41cRZKtV6br74hxlhwu/63syJbbyHG/4srTblVmNj6TPOShL0kc9eU+LMkvXYqt cVSJZZck72z26xcAm908QE32YSpjAE3xxE2wuGCwYSVi/c3SviugiST3iYPte1JiNd2oaMtU T4mm9qpkKvQ3IsGQMOHm8OKJp6QNK31BSypK7YzXotBT8OAvFBCOOlCnwvu4H+6aKnJLXWlu nDZ3otTKh2rqYLIi1xa9MsSdNIOkv8CewMDQ21nrIgdBRS2WXRBpL3UlS1QA9HOrIF2Ipm9n Vh4TaYLlsufSCTXYp3mM1fBWHjy0BRKiWpXmzXoA34EEo/JJ2or0QPd8ORRhK9JG5JhcnwdN WyV6T2u7jFxsA4QEUCFlowuBRHCRhLZojIddCICeB8zEkKuMV8C5TYUVCnr6RVDllhtPIvzR zdtJ1nR3/AUJiePy3KnVqNHWO2ibYlJfdfqKS5gBmsCkIGDY9REAxr96l6hOUMCipMHKaGWE YVqRwJp5HfxzmiBIFwGVvEvTYqFPkUaMoov3E2tES1hgGhvneBjJsgSmqChXSoZG64dvRpXC OgK2ppcvkwB0gja1uXclYoaPkk6rgK2L1tNYxSkUuAj/wDlIRd0YDiLZJ6k5HDZvjy9nfwID cM5/XyxD05MQMDcDWARDvZP2xag1IbjEEmBZkQv+VVWiATU7jatEO8nzpMr1X7U0gSYrTRcR AUZuxKcvEM0yaBquI7N2Cmcu1H+lB9EQNN6UUOH9KpGFYNSOV8kjUzEN8kZE1lfyH3UmRm3M nfrRvVfLcBqMvUkyY7hFhZEkao2zU4kzduYMDcA+xiQ8mWAR7LIJL3JKfBmXd9ECv8LiGXp/ OSNUD+fCH8qn9+Xd9vCCpZN/O9fiXkiA2de0g64u+ds+BtHHXyL6yOXHGySfzDcdLRyfvG8R 8T4Gi+gXeuurOmUR8WzcIuL4uUVyaa6PhrnyYoy65haOu9RkkXz2NPz58saH0V+FsL658GH0 WuVmDz5aQxN1gXux++T54PxCd/7YqHMTRdFme4LUL/hXTVH4lkzhL31Nc/ccdPw1P+YbX3v+ raoouLshxmAvzZkZ4J7pP7e6OC/Ep65iYK3dZ0ydAAORLX+r8GClN7r5P8JB42qrgsFURdBg MuKzg1lVIk1F5GKmQcLDwUqZuz8BllAa5DE3HpG3gtfzjRHzNX8VCWi0c1HPzP60zcR4eyNO OS2jzQXuci3eLwFdjnVVUnFPGfRD6oYemDAMCxlq2Dy87bfHn24OCV6Q0LWAFapxty202Cmd aRRHSVWDVgMLhoSgDE95sRX2LfFKAebzJrGfoLczGJKxk108wwrA8haB8TJx1ErLA2Quueia SkRG5qoiYX2AEmVo0WBIoYVRF20VmYk2oDuKiEwPLMQs6zBzKUh9GG3sm555lNbZl3cYO3x8 +Wv3/uf6ef3+x8v68XW7e39Y/7mBdraP77e74+YJ1+/919c/38klnW/2u80PquS82aGfYlxa LUnvbLvbHrfrH9v/qhrgg+UkGhwCmId5oaeEEQKDAlQyTHXeTHNRNGj7aySs5evph0L7hzEE SOy9O2h4uE2KQeff/3w9vpw9vOw3Zy/7s2+bH6+bvRbQJWIY1dQItRrgCxeeBDELdEnreSTK mW6tWwj3E9BeZyzQJa10Y3yEsYSDkud03NuTwNf5eVm61HPds6JaiIqMIQUOCWLabbeHG0Ut exQeKC47yvgQy47jE9yUi1w7zU8n5xefslbz4/eIvE1ThxqBbtdL+tcB0z+x0zAYqTPgXMx4 sIf+8fQZmb1rtXz7+mP78Nv3zc+zB9rPT1jT8qezjas6cDoWu3spibgOJVHMBfIHbBUzrQPv uksurq/PPw+O6rfjt83uuH1YHzePZ8mOOoxPbv21PX47Cw6Hl4ctoeL1ce2MIDJr3ql1i/hM I/XRDERScPGhLNLVOV8FYTijU1Gf629HqdOY3Io7ZqJmATC1OzW2kLI5nl8edS+C6kQYubMz CV1Y4277qKmdnZNE7rdptXDoiknowEquM0vmQIDMXFR6eSu19WdqLt0TjRdBmpZbJkxpNm5N yLjA+vDNN2dGtq3idBJoN76EMfkX9k5+JPNit0+bw9H9sSq6vGDWCMHuZC1ZLhymwTy5cBdG wt35hcab8w+xmHCbeubLBFWryGxnmyaLOQNjQF4zv5sJ2NUUljsxn1UWc8cEwfrLQyP44too TjYiLj01MdTBmwVc9YMRiw07p3UWXJ9zQgIQXMKAwmaXTtfxqnYSFq4YbabV+ecLZkyL8tp8 ukbqGdvXb2aqmOI4NdNPgFrZJBY+b0Ph8oSgiq6YvVcsJoY1YSEwkTTTQypqcwZZAuZSwCBQ zfd9VDfXLPTGgcaJO4QJLz7ns+A+cMVnHaR1cPHBPVc9x2f4eBIzawa6Qwn2yamt4U5sk7hT 0ywKmmuHVsLVrCnl8+X5db85HAwVe5icSWqVsFZc/p7za/fIT1cus0rv3c4DbOYyu/u6Ga4P VOvd48vzWf72/HWzl8mBljEwbMZadFHJ6ZpxFU4pfZrHzDj+LjGSu9pDJ1zE+oU1CqfJPwTW XUgwGaNcOVjUHPtMSk6pRFRn82IPmVebHygqStfx/g4aCf7fwV7gzR/bevmx/bpfg7W0f3k7 bneMIE1F2HMaBs4xDUT0Qst9SsClYXHyEJ78XJLwqEFzPN3CqGDaZxHRsWfQSnaCSozVrc9P kZz6ea8aNI5u1DtZIo8Imy1G0L3iicO2kRB5mz5O7vIiTti8LdDfXAMFhQtmzbrcFGStwjCS E7pJ2JPi+BqflsYmGJl82akmPKK5U1+f0gjivvuntPja6gMlCfccitWz/qZFUgL5ccH09yW1 rWehHDyYVSf41kCGM/3hijHUgCIX9CaTH9VFeX59veRJtFxkF4kXNpe+B4A0uigChehvxpGl xVRE3XSZen5Mo/BG+4N6leHbN0CGrju81DyOSkOWbZj2NHUbmmTL6w+fuyhBX5yIMDtiSI0Y vZPzqP6EMfo7xGMrkoY9TlH9UV39crIsJBbNdmzFSA8R0zzB0hMySwJzGKg71j0XydE3+yOm 8IIJLGuqH7ZPu/Xxbb85e/i2efi+3T1pl2SLuMXL3IK8m1/ePcDHh3/hF0DWfd/8/P118/xu OAQU79M9qZWRrOHia7zfZmKTZYOJROOUOt87FPIBgasPn28Md2qRx0G1srvD+VdluyBq8ImQ uvH2fKSgI02hdLqgp2LpvzC3qslQ5Ng7yt2YKHGbunJ23EcB5b4w/Q/hZCZ41UybK5XCiTdX ZE0qBzUROb0sAMMJ9acIo6KKdWlEEW1M2oiychnNppSFUyUTnQVEcGxFY6jV0fmNya2iTpqi 7NmOOtG0XaOLDGkW6w0gi+zjCh4uQiRwWpNwxZe9M0j4O309SVAtgoZnRIgPzRcXAXjDW8Kk /Oh07GtMInTdA5EWeLT9ARU+zJNpEzKiQENHM4CKRJlQTHmz4feoI4DKlxpH7V7qNhYUDAO2 DdD1mV8kC4CH8z0B24AhJzBHv7xHsP13t9TfsO5hlFxbGtKzx4jght8FPT6ouCDYiGxmbRY6 v4f3/tyehdEfTA88fthxxN30XmiObQ2R3hvXtnVE4YFfuXyAIiqYZKdLv7qIBAiQuwQGWRlX qYPavC2eg8Xb1fKSeEpV5ywcXY4Pyk69mKSzFcQFcVx1TXdzZXChIY9mUlSYJw6EbT7E4DTW vBBFkxrvuFKjmPLtEfz1NJWDHluRN8tkrEw7gmXbVZmekx3fam76aVqE5l962FNNQYp5Rlqb 6X3XBNp3orpFLV9rNyuF8dBqQbWzpiBtqpU1QRQpWwSp/j4RguKkLBodhvJM5xWDzHJEjhnF UwoBQV/3293x+xnY7WePz5vDkxu2lY8l0TNPhg4kwVgYjw+iFHldUH7nlJ4TGUJFH70Ut61I mi9Xw5z1SpPTwpW2L/rno7z7YpWFBap6SVUBpV6YgR53gv/G952GCfROyuCB2f7Y/HbcPvdK wIFIHyR8706h/K3eCHdgmMzYRomRGqBh6zL1ZAdoRPEiqCY819OowoaT1NMYNnlUidLMT0xy inplLTruZknEFYOZVDCnlKD6BeyPT3rEGtoDnoN5/hkffK+SIKZfACouZw/QoP9Ax2H360ep KGErgnYImFTkhk4nhwp6IuUrZKLOgibSeJeNoZ53RZ6u7DYkh1okwRxTEZBr6Pvjl3eAcZ22 P4Dx5uvb0xPGn8XucNy/PZv1O6hqH2qn1a3GPkbgEASX6/Plw3/OOSp5ycgZVs1w4zasgxyU I7AGcVqNySacvitcYi6hhIgwnzYFMyZLckOvInOHSNgo/i9NlzkszChNnMFikuUXo47Q2JjG 3pDFgP2B5RjN1APZCuJJsnDGHX5bLHLDpCM7rxBYltL0HZgYnB6aRi49xCLFonF8z+AUcUda ElRFHDRBZxV+IZTMHK7dRnsEq5SzhJiY4WldPg144kcwrfQEz1JkVdQSO/gFUjisKOGZ+xEs ec/jlGAZTtIMbyP1eytLshT4gDsKhTnRLZn10qIY44QTsNW4p0nyWHJZ93fuOPbYb3G6U0pJ Msz+kIwLFTXO0UdjJCYwD2q9Dp+FwDioqVlFEfENiXU8nRJMo4IJtZNzxhNoMe2ZIIYno61I dFa8vB7en6UvD9/fXiV/na13T5YBnQPHA45eFOwYDTzed2kTo56PiGiPFi2W+dGmr8G0+lmb Y+W9mhN8i1uQHSBB4mKqC4bTHZf5cSAvHt+ofpnLjOSOsJ+iJKCpPRBsvFKg8peYts1pxtHO k6SUrEk6KDD/YOSy/zi8bneYkwBDeH47bv6zgf/ZHB9+//33f44dpcs+1CRVdhkLSAzaYXHH 3O2hz7DbNseo0DHdJEvd9d5vjL6qhsPdefLFQmK6Oi0WZaBbLv0vLWqZcG9AqWPWNkcYPrfq HKwe4T2VYHihTlqnie9rnDOK/XDVsPS5AhMOrypZPHwcJKf9/x/rqRpsqgDUHTiBkzSY6kmO eIoJqY+DtCaYLCzZB9ZgEveuixOMcC457t9TgEADnmqWLNZ4wnepFDyuj+sz1AYe0BPnaNr9 hRiTG3LAeuquD13nEtYzqT0FyY68I7EaFVXVqktqFgfwdNP+qQg0f1COQFFzywmC0GPVFTpY gByHYu2RUcEGsYnX+B13hEGhf82MGElQiJASPjDLi3Md72wQBCa3TMnAsaCJMTrrCN/26nc1 Kt6a9T4rmjKVsrVJ1HV57vwAOo9WTaHZ+liLlXqrKWwk7iZtLk2D01hZ2J+lUZboRM2GH9kt RDND87+2f0eiM1JfgADdthYJ3sSilUBK0BDzxmkEY9YrC4gDl81q+4aGgUUxOqvPshuRyXbJ 3RC2k4k+dHqUmOgNPo+rAjp1X4TCmTCtKWK6CyDUXTIl6JQZHC2wY9hxOr+n/F72D/WErnyy V8m7/r6l1/wgQ19pMji2Aci6mEyYr6Vsl3D2iM4WsI8ZAmMcalfUzuLWOSh/s8JddYUYtERz BULg6LBwfbFDlbet3/4jeJADtwwwFCM/8FQHlyruiVG20GCY+CdQnR9JoHFxz6H7+/M2rGs/ lMreG84pHC9u9nPeBMA5Sx/jVFvP8DXiXU/AiOnUqCIoG5RnSeQoBi0cHYAuBH42y4LKsBH0 szQQ8Nxeo/R1ntvWcYJ3X72UqvNBSi5hnEx+E+CDZWzKweCJiBMqDSFqyRVMl5i8X9HTOOLy gLF4Rl6amo3LCGSUv4nbTFumJKjS1fhK/CC1rB/R3arN5nBEdQu1/ejl35v9+mmjWyrzNvfd 8en1DXRRFlW//laYV+08cvwMFNqWDUQq/QFKhx13K6ImqC2yv241OfiJTi3TPCr0vGZpDYLR B+B+vs24DNJzqgUcL9AnaGfJ8pC5IezTedzwOiV5kChoW8Ni+km82FCptaRBn1CQQkzlPIGn QEmRFhmKDh8VXfTH83G6sd534eEn0qi4uTKvYemjnSVL3MYnpkOGDGRIxHNlqqero5Kv4SNz FYCiKfgNRQQyBM5xxUSGpjNKEDc/AjBVrPQ327b2OwQ6dklhLT8eb/FPgK34KSoMyDboEvLT eDOsCStivraZ3LHzE9u597L45oyy/ajwwLM5l+XEhmBGw6wgt9adUdsEkwNgknkxoTcxEVUG Rp6uEdK+cKoAyK6RgDi1nej2mv+aHhIBT49A0eGMatUIms3C9STDl8LirT0aMLZxfJJbOxfF ZKTsf7C2QWxaZwEA --7AUc2qLy4jB3hD7Z--