From mboxrd@z Thu Jan 1 00:00:00 1970 X-Msuck: nntp://news.gmane.io/gmane.comp.tex.context/96099 Path: news.gmane.org!.POSTED!not-for-mail From: Otared Kavian Newsgroups: gmane.comp.tex.context Subject: Re: Placement of numbers in numbered equations on the left Date: Sat, 10 Sep 2016 16:38:12 +0200 Message-ID: <87694EB3-2BDC-4ECB-BAE7-1D1AEA520E9C@gmail.com> References: <67D3019E-92B9-4345-AC0C-73862E94087B@gmail.com> Reply-To: mailing list for ConTeXt users NNTP-Posting-Host: blaine.gmane.org Mime-Version: 1.0 (Mac OS X Mail 10.0 \(3225\)) Content-Type: multipart/mixed; boundary="Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5" X-Trace: blaine.gmane.org 1473518329 11596 195.159.176.226 (10 Sep 2016 14:38:49 GMT) X-Complaints-To: usenet@blaine.gmane.org NNTP-Posting-Date: Sat, 10 Sep 2016 14:38:49 +0000 (UTC) To: mailing list for ConTeXt users Original-X-From: ntg-context-bounces@ntg.nl Sat Sep 10 16:38:43 2016 Return-path: Envelope-to: gctc-ntg-context-518@m.gmane.org Original-Received: from zapf.boekplan.nl ([5.39.185.232] helo=zapf.ntg.nl) by blaine.gmane.org with esmtp (Exim 4.84_2) (envelope-from ) id 1bijQU-0001qU-Aq for gctc-ntg-context-518@m.gmane.org; Sat, 10 Sep 2016 16:38:38 +0200 Original-Received: from localhost (localhost [127.0.0.1]) by zapf.ntg.nl (Postfix) with ESMTP id C34EF17CE2; Sat, 10 Sep 2016 16:38:29 +0200 (CEST) X-Virus-Scanned: Debian amavisd-new at zapf.boekplan.nl Original-Received: from zapf.ntg.nl ([127.0.0.1]) by localhost (zapf.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id SpREXeV0i_Sm; Sat, 10 Sep 2016 16:38:29 +0200 (CEST) Original-Received: from zapf.ntg.nl (localhost [IPv6:::1]) by zapf.ntg.nl (Postfix) with ESMTP id 140BB17CE6; Sat, 10 Sep 2016 16:38:29 +0200 (CEST) Original-Received: from localhost (localhost [127.0.0.1]) by zapf.ntg.nl (Postfix) with ESMTP id 9660717CE1 for ; Sat, 10 Sep 2016 16:38:27 +0200 (CEST) X-Virus-Scanned: Debian amavisd-new at zapf.boekplan.nl Original-Received: from zapf.ntg.nl ([127.0.0.1]) by localhost (zapf.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id nagqxomq8HKr for ; Sat, 10 Sep 2016 16:38:26 +0200 (CEST) Original-Received: from mail-wm0-f46.google.com (mail-wm0-f46.google.com [74.125.82.46]) (using TLSv1.2 with cipher ECDHE-RSA-AES128-GCM-SHA256 (128/128 bits)) (No client certificate requested) by zapf.ntg.nl (Postfix) with ESMTPS id CBB1F17CE0 for ; Sat, 10 Sep 2016 16:38:16 +0200 (CEST) Original-Received: by mail-wm0-f46.google.com with SMTP id b187so73682592wme.1 for ; Sat, 10 Sep 2016 07:38:16 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:mime-version:subject:date:references:to:in-reply-to:message-id; bh=1qwr3gDVfA1iA9zrB+DTqtI1H+Zaeql7rba+M1OXUmc=; b=lLPnVTqHCtP3JRvXXJoO5cxl3uAKuy3d7TlGGMwpEVtzlKRY97FNfhU4MwziEkAFri 3c49av7LmnwBhNT3KmOdzoBkUI+938CnJi7sMdACibyz9BBe0okm971wlHeLhOOI2Rvo K2dB88ncoIraLfLvBFdwXY/eS743kJRObs7XHwanZnMXy2pAtddqAWq5IRUv+Jm848DC /3ZhKS8FMmVH3jb0zfxbRe+c6GdRsWFUTXBBdPRgDmEpQKZzGdRuLi20X9nNBzDVvjgo dLyUi9/tq2VNsPSUZLpGk2eOl7JUStxaZ2/d5nU6CiVgu9Mw95/Y2pKTWuFVK4dOhJU5 17XQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:from:mime-version:subject:date:references:to :in-reply-to:message-id; bh=1qwr3gDVfA1iA9zrB+DTqtI1H+Zaeql7rba+M1OXUmc=; b=gQU07D40nXQ9RE8nzgFwEgOIoiBqy5TGnj947Dh3toQHVS9x2nB7HH2xvSGXix8DDa hPikb47A9YZfsj/nPLA1vzUkyl1G4eWQwEXlQHRavVlhotOpY1NjSigtyV7SOb7oXZyr 0yhUxLh5RkBKDlQh+4YkccPGHOTV8MN/cDUDpyNRK2U9XWEAcSAGL2p+lYz3iOp2FNg8 HqbSrwBKsKvLk8TM//kyxctTSCT+32nUYXl3kyMOToC/D5mw79wREpXZASW3yCFXhXJf UC9Wz2X53CuyLf0t5leeAcaBoGnX8pvEut8kLicImSg7VC4EiYLOmDEjomoEB8RhtCQK 4ZWg== X-Gm-Message-State: AE9vXwMtgjV6WZARbcShs3rgmpfeJD/Ssw3kl9oprmYs+5MKxhCiKyBxnl6hnRK7Gstteg== X-Received: by 10.28.20.77 with SMTP id 74mr2889623wmu.1.1473518296261; Sat, 10 Sep 2016 07:38:16 -0700 (PDT) Original-Received: from ?IPv6:2a01:e34:ec02:4760:4c05:8e5b:d9f0:a657? ([2a01:e34:ec02:4760:4c05:8e5b:d9f0:a657]) by smtp.gmail.com with ESMTPSA id e5sm8565207wma.13.2016.09.10.07.38.14 for (version=TLS1_2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Sat, 10 Sep 2016 07:38:15 -0700 (PDT) In-Reply-To: <67D3019E-92B9-4345-AC0C-73862E94087B@gmail.com> X-Mailer: Apple Mail (2.3225) X-BeenThere: ntg-context@ntg.nl X-Mailman-Version: 2.1.16 Precedence: list List-Id: mailing list for ConTeXt users List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: ntg-context-bounces@ntg.nl Original-Sender: "ntg-context" Xref: news.gmane.org gmane.comp.tex.context:96099 Archived-At: --Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Hi Hans, Following up the previous bug report, I tried the latest version, = ConTeXt ver: 2016.09.09 08:21 MKIV beta, and noticed that you have = solved one part of the problem with the placement of equation numbers on = the left, when using \startalign. Actually the location of those equation numbers is correct as far as the = horizontal distance is concerned, but it is not vertically. In the attached PDF (which is the result of the following example) one = can see that equation number (5) is placed on the grid line 10, while it = shoul dbe placed on line 11 in alignment with the corresponding formula. = Moreover equation number (4) does not show up at all (that number should = be placed a little bit below line 9 of the grid). Thanks in advance for your time. Best regards: OK %%% begin example bug-mathalign.tex \showgrid \starttext With the default setting, that is \type{\setupformulas[location=3Dright]} = one gets: \placeformula \startformula \startalign \NC \exp(t_1)\exp(t_2)\NC =3D x_1x_2=3D\exp(\log(x_1x_2))\NR[eq:explag0] \NC \NC =3D\exp(\log x_1+\log x_2) =3D \exp(t_1+t_2).\NR[eq:explag1] \stopalign \stopformula \placeformula \startformula 1+1=3D2 \stopformula \setupformulas[location=3Dleft] While with \type{\setupformulas[location=3Dleft]} one gets: \placeformula \startformula \startalign \NC \exp(t_1)\exp(t_2)\NC =3D x_1x_2=3D\exp(\log(x_1x_2))\NR[eq:explag0] \NC \NC =3D\exp(\log x_1+\log x_2) =3D \exp(t_1+t_2).\NR[eq:explag1] \stopalign \stopformula \placeformula \startformula 2+3=3D5 \stopformula \stoptext %%% begin example bug-mathalign.tex --Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5 Content-Disposition: inline; filename=bug-mathalign-left.pdf Content-Type: application/pdf; x-unix-mode=0644; name="bug-mathalign-left.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjcKJdDUxdgKMTYgMCBvYmoKPDwvTGVuZ3RoIDQxNTYgICAgICAvRmlsdGVyL0ZsYXRl RGVjb2RlPj4Kc3RyZWFtCnhevZ1bjyO3FYTf51foD5jD+wUwFtgdewwYCIIk+2YYAZIgfskiiAM4 +fn5ji7dI2mmtZquzoMT71qkqikedp06RdLvftn53Q8P/vj/nz4/PD6HXQhulBJq333++y7wCc// xu5dSTmXXave1Rxj3H3+svvpW+9L/PDz5x8fvv/84F0r9nG/+5Wepz/88YeHx8+/xt0v/37Yf0Xb FTdaKz2//Ibiu/M55b5rPrrUcwmnbwj59A3/ejgBqsnVkiJ4pk//9cvDTz/73d/4/h/5+jR62f1n D+fLLqfhavTg97t/7P708Ievg1J7YzCan6GUBSjzp7eA0pIrcZRp3ENdgjJ9egsoZbjgo5+htCUo 06e3gJKzqy2XNM2VvgRl+vQWUJJ3MTc/QxlLUKZPbwElFNfDKATYIUbDxyUo06e3gOIDkUjkTVA+ LUGZPr0BlNKrGzWXMkF5WoAyf1oIJbucc2UBbJHltPkZSuZHSktwphZbwCmdgB6lzisucJZW3TK1 2AJOZnHv0Z/DWVp5y9RiCzhxuFhyaWejs7T6sk4fW2wBJ2TXY/PncJZW4DK12AKOt1ftKNCF41pj U3lpFS5Tiw3g5G7kIvpzOEsr8dxiCzgtuAJtGmejs7Qa56nFFnBKcyE0fw5naUVm2h9bbAEnRwJ9 nMf50qKcTw22ABO7izW+oHo3luR8arAFmJBcT7meo1lakfPUYgM4BLjLvoWZ8RHEYWlFnltsAadn gnzUczhLKzL5xLHFFnAayVGJYWZ+NjpLKzKv/mOLLeCU6kLM9RzO0oqcphZbwMnB1dHCzABtdJZW 5DS12AJObIQ5PHBakQ3O0oqcphZbwAnR9RzDzAQNztKKnKYWG8CJo7sccj2Hs7Qkzy22gNOTG72F +Q1RbyzKcWqxBZw6CNtRz+EsrcrMtGOLLeCU4kKKYWaCNjpLq3KcWmwBJ6P5eEtvTkzQ4CytynFq sQWcWF1sLcxM0OAsrcpxarEFHHS1nofJakeebHCWVuU4tdgAThjNoeKFmQkanKVVeW6xBZwe3Ri5 nsNZWpXD1GILOLW7UtsLre3GooxcemiwBZiSCfNxHlZLS3I4NdgCDEIqPPAFTW43VmSgH1tsAScW Fzs50xRVBmdpRQ5Ti/vgPP7+aff4259/+8s//7v79N3TpJojbQeTtmdpGm43Um1lF2JAESzopBdf xZCgc5+0ab8rgywxtjiO2vSLvoLzvvJh6yuF3NpyXznCc6FaJ5V77ikPEuPhY5LCYiqw5key/8VH fBuWZbujD3vA4hKpcr0xWKRFtddXHhCBbIzUsqCnTP2hU39Yj6m41uGPgp5Iw1tHRl2PiZWqRcWA D+TUhmi4GlJnbteYbGqunAS8FBr1miHoiUW3BEpI6zEVJKBKsrq+JwRs8nzBb9e7S6myUKzHxOqe /BAEC4sgaKCPqzEN1HVKDoL5NMg/AjW39ZCY2H4gda3vqRrLhmqs74mKK6RLECwmD41MNXY1poA4 3DvvKUVXEW6QmiBcgqci0ToFNcEDFudbSoKACb66XDuVAAGq5npltBRdWfGjCWZ6CFgNSkySriLu AhMw1w8VQmvOoQvCJlhhJlXUFgEqsl0IomJahYZXopI4C1ANh1FgKOImepQpinDrQUGle2A2KLpK LuKAUYQNzF0x0WFQrOmS8EP3TN0cJ4Ih7xDhTIKzviuME6ENSueCrkg+WuqKmElkH7WTBwlQkX7U lBQxk8g/iub5yD9K7IqYSSQgTFBFzCAtQDuSYlpRc0jJlOb1PyBFypbCUMQNhqUQK6KhABVpSAw4 4ARdkYcEK5UKuiIRwXoieUAyEV8UAgCJH34YyRJTIswYbUcwVIWS8PD4y9aPOmUAU80UcUPpsDaz DglQkY+0nBRxg+cQMRkXyHpU+F17TQohgJCBGXeK+gJUe/9rUsyrSkKSu0ILCJWERPOWr+QjqSnE gEAJLqaoUANwzsCMG0WT9T8gcqWn/KKIG7y+OVjxQYCKhISsRBE3jYTEV4km0EhIfMCFLXjADj0u yOjru8ISn+ChCp6GAIq6oFjZKX+HTslA8XwZdpwlkoCZ8urABScYdZKSmpOCxiCCNkovirgZJCWF ooHgAa0WlLtEE0AHHWypUMTNICkhU1LEDYWolqJEE6CIHajxK0adpCRimlJ0RVISmkITiGaHD2EI 4obdGrDjQ1VyZY0FZR12LFHF0U6gx+iOClQVeoyso+gKJyi5vCBu0L5wuJKVCFBhB/ENzqfoiqzE djWtnwvmOqU+LYgbPHCw46HQBWIgKWFPgCJugm1LowakGCuSEkAJ3jcRMbSnrtAF2MkHPWZrn+AB I0lJ7ApdILJI+Rgxvayfori6cmhNETcooh1AClAkJb5FRdwgiNb9brz1Q5XY+0lNXxE3KcGOA5ut BKgy7LgqKmbUkqDHQaELxNSgx7aJVfCAJCW8nBXrMY7KhDCgiBsUUTb74mpf/4Bsz8KUpphWCKJ0 hANXAIqkhO14irjJJCXMdskDkpTQlyJuCkkJkr1iWiGIUuVS6AIRRXRg3lTEDT7HJJmf6KFsqFMk ElS+bW+0IpdHKoQcmytw/VxHD+3swlWETcXUCPNQhA16aO1BIQvEmiHHVSELRPRQnAJBETbooWTy ClkgYjCOFSuoYDIgiNai0K2QQp0vmOoFoNBDWYyH4m2DHtoTepMCFTkJ3FgRN+ihNQ7OzVgfzY2c hKqnImtu5CShS2QB9NAeksI2Sw4BO2aTs2CsEESrTxJZwPYQDoWdjPXTDkWQqAKcUNI6jEExVBzr wbZ7Rdygh2IBk8gC6KHsHlTYZyNuTtxWCv8s8iXkOEhkgUFOwq4yxfsGPbQUVD7BZGAj4Mj48dd3 lWy/f1bkpwk9tCXovwIUKQn6giBuWFwgx7y7FKjISXCOCNh/8uQkQTTs5CS+K1Y+vB7Q46SQBRDG ocddIQvst9QORkzwC2LpJOdSyAIJQRSerZjsODpJbxRG2oQeivlckXVhkYIdc/6DYNRtp1UNiqJZ Qg+thRPOFKhISkpQGGk56Qx6XBRFs4Qe2u0wB8UDkpSwaUsRNxyZU9Nhe9rK+hTeeuixYgnF1JnZ 9qqIQORQLDYKWSBh6oSkKWQBtgBBjrPC6IYVCXLcFbIA6hfsOCm8tNAO2DEHqQhmFa7OwNtGETbI oVhQFGZaclM77khRNOO0Gdixwj6ZkEMb9lBF3GRyklIVNbOEHGrnWipeN8ihbFZXeGkTrk4cGoqa GQsx7JjdtILJbgfCwIcUcYMgWjh3QhE3CKKImApZIOHqhF8pzLRso4QdS0adQ00xMCi8tFikIMdD 4aWlnAQ5zgpZgOUFcszWasEMRQ+t7J1STCtcnZ5t2oq4QRDNeP8VcYMg2iWlWPbE28FmClUgNVIS TIEKloapk51TCpqNHIpEK1EFkEM7ZgEFKjydlJslqgByKOVvCaVFw/TUERRhg6kz42FQhA16KHUg RUkCD6aLKAyCFaaTkVDdUCQ3yKEDdqxAhaeT00MUNTM4NuSYo0oEY4WnMxA4irhBDi1wdsW0Qg5F 4ZOoAuxw59wRhZWW41Fhx+go64cddQ923BSqQGaHO2cYCiZ7Rg5lA6pCFMhscE+cUiWIGwQPyHFV WGmhQpDjoJAFMnJooeAsiJts5/ZH/B6CaYWpMwXWPkVX5CT4rQTvG7a4wI6LomjGG95xzKJCFqB4 CjtWZDe8SyHHQ1Ez4zxJyLGdALpaTGN3LeR4KKy0dggU64JCFuCoEcgxjhbFA9p5oKztiq7ISXAE KuIGU6fnfgtF3CCHZvZ6KpZ2BFF28StkAbalQI8VvgP2AsGOObtR8AMiYiIvKNhjZpc7Yaiw0trd JZ3ahmJa4enkWEmFLLA/ittXhZUW3w+n3HlFzYwaCfS4KGQBUkrHORMKK23O3K/AgXICWYAyM/RY QmPQQ0fjYDJB3ODphFspZAFKJLBjqi4KVCQlhZezoiuSElzVivcNeiinPyqstGSB0GO2NgseED2U k1AUukDG1ckKozDTwmDsXExF1Qy1HnosySQwdcL+FV5azkqGHeO5UvyAdidTVegC7AyDHePkE6BC D+V+B4UugKzqIic6KHgagihn9Si8tJxj4zzHcip4GoJobkVhps0oop1cV8H/cXVirlaQRwRR5qfC S8umdNgxwoBghiKI8nqWvFARRHvWcFpcnZEzRxTTCkGU06QkugAypucmQMX7Blcnv58imBFE2Zcu kQUwdaKgvN9L+/D9754eLg+Kfu1gaJxPvpjr+ubB0HZQjyeQD5cWvnYwNH2h+lBneOcJzC8OhhbC 4r4Pu2YDafIuWPsRPF1IydHa/Ovx1sg3LqbkXUWV7PrOSEQnj6LiOQTIp+cP3+B64h68w5/4J57+ Ju7/xD92bvgTn/iOdnaAxpja2H899mTtrdfMp9In7+N3lz3v+5ja7hEc7sd8fOZ9+urVmqR3qCxE 1dXFl9yPQPMXX8/XFv7OwBYekCP7fQbGCfT+y/k8U2b/EPaZyH8/gDpAt7/bw7e+rb31z2dsWOwz 8XAHwJs3gdqtR+TIFKmv4E5dT6O77/g0dgbscGz94zNLyGtjwc0j5gLDK1x5GwbKZ6dz3TNYC+Ma 7Ge0L/IcvRIPN+Y9Pqcdx4hhN7cLiuZLSwPveQRDlHZsLWbegXQfLl9IT4drKd4GYvsi2NgeroD4 jwbCULwHEsZJEgko8jWk58PFHW9CiiiNXGmKPng5NgYJvm33PH5v/9a/ZWgOF128NTScdGGbotEU 7h6aiPmF9IW63wWOm9+JfYMrUrGOXn3nzWeHKO93zl8++uGB7dFf+zWY6B++KTZhbKITEPtJszwy nEyy3+XR7h8Zc+Zx+hUWsTtHhhoHiyW5+P0jY16rimg8XpkVPO/hBo23gxlOhpWQGuflwLKNgKHi nxuBYnemcJ4SOSimWTv2EG3pdMHJPb+NBRU/461fx3bOdMqDjJQJBeaz/sqIth0b1E2p2lwB9U9M ohhtEp3Nl2Og38K095tyoj6DeIHp1rQ2/2Wx5OEa0nVIv2u9sXvPMFmQFt47XkSbq7iRrOXFDzuN 160FOHOnc8drfP3tt0aGO6jMn8VkemVomNfPXz2vL8HbxK68lm5ObMQVllxeGdRqeReYFn+a2Lzf DvNlnjnB/s5W3nkNPl3oejP6WIQvv2KP8uOE8nTr9ZHtoLua73oCZGTH3t97asIyN9MbbsJ8SYMW iQg1TUvQEDYu+9+ahxwwH3jN13AQDFYmdlCzuUT61RTkYkS5M8JOKJtv/LEfAD3s5jSZGUshU7aF eLrC6D38YKYsLHLOSNo7KMsVEhVnucJ0K4xnzvIqpneTlrsHZyYtl0Bure62C//AWu5/+hNruXr4 LWnL3WMz05Z7x2bmLXePzcxbXpkZE3E5RenMMgpCNSdzQQX/LywDu4Ht2r6fZFzhlJGMC0i3QnDi GNeI5BzjztGaKcbbo/X1FOPOcZkZxisDc5thHN/EBcqf7GDE03Tcv7iNO9/izRO9uOqCe+Cv6UV+ hV5MVyv+DwYhytwKZW5kc3RyZWFtCmVuZG9iagoyMyAwIG9iago8PC9TdWJ0eXBlIC9YTUwgL1R5 cGUgL01ldGFkYXRhCi9MZW5ndGggMTgxNSAgICAgID4+CnN0cmVhbQo8P3hwYWNrZXQgYmVnaW49 Iu+7vyIgaWQ9InZiemV1em96YWV0emVvaHhxZW9zYWN5dyI/Pjx4OnhtcG1ldGEgeG1sbnM6eD0i YWRvYmU6bnM6bWV0YS8iPjxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5 OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1s bnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIj48ZGM6Zm9ybWF0PmFwcGxp Y2F0aW9uL3BkZjwvZGM6Zm9ybWF0PjxkYzpjcmVhdG9yPjxyZGY6U2VxPjxyZGY6bGkgeG1sOmxh bmc9IngtZGVmYXVsdCIvPjwvcmRmOlNlcT48L2RjOmNyZWF0b3I+PGRjOmRlc2NyaXB0aW9uPjxy ZGY6QWx0PjxyZGY6bGkgeG1sOmxhbmc9IngtZGVmYXVsdCIvPjwvcmRmOkFsdD48L2RjOmRlc2Ny aXB0aW9uPjxkYzp0aXRsZT48cmRmOkFsdD48cmRmOmxpIHhtbDpsYW5nPSJ4LWRlZmF1bHQiPmJ1 Zy1tYXRoYWxpZ24tbGVmdDwvcmRmOmxpPjwvcmRmOkFsdD48L2RjOnRpdGxlPjwvcmRmOkRlc2Ny aXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnBkZng9Imh0dHA6Ly9u cy5hZG9iZS5jb20vcGRmeC8xLjMvIj48cGRmeDpDb25UZVh0LkpvYm5hbWU+YnVnLW1hdGhhbGln bi1sZWZ0PC9wZGZ4OkNvblRlWHQuSm9ibmFtZT48cGRmeDpDb25UZVh0LlRpbWU+MjAxNi0wOS0x MCAxNjozNzwvcGRmeDpDb25UZVh0LlRpbWU+PHBkZng6Q29uVGVYdC5Vcmw+d3d3LnByYWdtYS1h ZGUuY29tPC9wZGZ4OkNvblRlWHQuVXJsPjxwZGZ4OkNvblRlWHQuVmVyc2lvbj4yMDE2LjA5LjA5 IDA4OjIxPC9wZGZ4OkNvblRlWHQuVmVyc2lvbj48cGRmeDpJRD5idWctbWF0aGFsaWduLWxlZnQu MjAxNi0wOS0xMFQxNjozNzozNSswMjowMDwvcGRmeDpJRD48cGRmeDpQVEVYLkZ1bGxiYW5uZXI+ VGhpcyBpcyBMdWFUZVgsIFZlcnNpb24gMC45OC4xIChUZVggTGl2ZSAyMDE3L2Rldik8L3BkZng6 UFRFWC5GdWxsYmFubmVyPjwvcmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFi b3V0PSIiIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyI+PHhtcDpDcmVh dGVEYXRlPjIwMTYtMDktMTBUMTY6Mzc6MzUrMDI6MDA8L3htcDpDcmVhdGVEYXRlPjx4bXA6Q3Jl YXRvclRvb2w+THVhVGVYICsgQ29uVGVYdCBNa0lWPC94bXA6Q3JlYXRvclRvb2w+PHhtcDpNb2Rp ZnlEYXRlPjIwMTYtMDktMTBUMTY6Mzc6MzUrMDI6MDA8L3htcDpNb2RpZnlEYXRlPjx4bXA6TWV0 YWRhdGFEYXRlPjIwMTYtMDktMTBUMTY6Mzc6MzUrMDI6MDA8L3htcDpNZXRhZGF0YURhdGU+PC9y ZGY6RGVzY3JpcHRpb24+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6cGRmPSJo dHRwOi8vbnMuYWRvYmUuY29tL3BkZi8xLjMvIj48cGRmOktleXdvcmRzLz48cGRmOlByb2R1Y2Vy Pkx1YVRlWC0wLjk4LjE8L3BkZjpQcm9kdWNlcj48cGRmOlRyYXBwZWQ+RmFsc2U8L3BkZjpUcmFw cGVkPjwvcmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5z OnhtcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIj48eG1wTU06RG9jdW1lbnRJ RD51dWlkOiVzNTliMDNjZWYtNDYzNi04YTIyLTY2ZDktM2U1YTY5YjYxYzgwPC94bXBNTTpEb2N1 bWVudElEPjx4bXBNTTpJbnN0YW5jZUlEPnV1aWQ6JXMxZTUyOTk2Zi00NTJiLWI5MjUtYTA4OC0z MTI2YjU1YjVjMGQ8L3htcE1NOkluc3RhbmNlSUQ+PC9yZGY6RGVzY3JpcHRpb24+PC9yZGY6UkRG PjwveDp4bXBtZXRhPjw/eHBhY2tldCBlbmQ9InciPz4KZW5kc3RyZWFtCmVuZG9iagoyNSAwIG9i ago8PC9MZW5ndGggMTYgICAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeF5jYBgY wAS2lgUAAJEABwplbmRzdHJlYW0KZW5kb2JqCjI2IDAgb2JqCjw8L1N1YnR5cGUvQ0lERm9udFR5 cGUwQy9MZW5ndGggNjg1ICAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeF59kl9I U1Ecx891c7vp9U/+6aW5HcWyyG1qRikUqLhSNx25SqKH7tzZ3W3Xe+XeO2xCgpqRHmNO+gsWiKER 5aCBDz4U9GAURBH41kOPFlYQ2k7diO7Vx6iX3/nxO98fXz7nfClgNgOKohytvg5vj/+Al1V50SeF kCz6WDXiPIm4mMDKhuQEsZEyzNiJHRAHRWAWKTeRCrN2jjGlGfPvedsGYyv4Zstbyy4DgPpYYNTv O39OMBV6l/WEqTQGX5g9gM4CFHCASlANGqg6qo06S53/v31TSAqithASVV6Nn0aywksirHU1HDrS IvXHZZ6LqLCuprbO6dTrQRiWZLgFArdJoIECuwIeGIzDZhdsZ3uj0oAS5auh3wW7VXkQCb2D8Shk xZAx8fOsuHUP9+k+QRRhhTCUwjCAemBM0e0hJ0uxfmW/CwYivAIHJDkK9VNGAmIVFIIxUbeFagTB 46e6A9AjiSr08r1IVBB0OqGCEIyoan+j263GOJckc+6wLlHcwrZGcRtrTk9XZ8DpbWtp7exudakX 1S2uEFJZXlBc//iov7A7JbmPFQAAphXTpkl/eKMFJooyNy9pq/lRnCL3U1Rm+r2J9O1KIWsVvv3I QZ5a58cnJXuHt2YiiGnOOodf4+cL9K9p6wU8VGVHnCXjSWTr2x8y65trqaJXm5nRdf5x8Qa5lmkv 5S1XY8P+oeHRsWP4EqY1r2VjbXHhxTJdTFZX3r7En+hMXvmqVqIVHq539yxduTH3YCZ19/LiGfvD d29ml/FX/OwobsT1Pk+Uo7UxbSR7eASPY4kmNZZ8I4qFZDezV48TaDKitVL0414J+VwamyUtMxkR 31ywaMFJq709ILiZHdNMDmZy0zmz16cSiVtTSYZJ56aTdxJTyUQimZxOMHmYyf8D7hUZbQplbmRz dHJlYW0KZW5kb2JqCjI4IDAgb2JqCjw8L0xlbmd0aCAzNzUgICAgICAgL0ZpbHRlci9GbGF0ZURl Y29kZT4+CnN0cmVhbQp4Xo1STYvCMBC951fMHgQ91EZl9yBS2PUDyvqFyuK1JlMN2KSk6cF/v5No FZbF3UKhk3nz5r2Xtl7W2+hdmgNGgy6HDVamtgKj8SIrWas1MaIuULslokTZdKshrK0RW3TQHqeT VCvXIXCqxbmW2KB+B33gUekHxO+B9g730XTxOd+vo3nmlF4YiVYvMneKNnisz5mNuN+wU+6Mw//h gUjhOSkE0i+0lTJ6CL0u55wOplqOTeFtVyy++YO4cZwrLe0tJjh4N6zXB6mEu1XhTBSUnx/eXiqH Rapzw0YjiMmOqpy9BA8dFq8sOVX6CO3nUgm6rcvyjF4WcJYkIDGnDZTfMisQYp9hKqmr3OWPMB+j u0uJQOqJqneVLyj6qswE2kwfkY0oEp7AaEZPwlDLH31+nTrkVzgBms9+0xGnzBLPYPxGPJwPeomv Zq/Xqh9YD3lAeX4f3N2VqK0lSyHd4NVLVRrvF1Ca0k+FN9xc82v5ajVj34k28W4KZW5kc3RyZWFt CmVuZG9iagozMSAwIG9iago8PC9MZW5ndGggMjMgICAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+ PgpzdHJlYW0KeF5jyLRiYgACppYDDiB6MAJBAFalAj0KZW5kc3RyZWFtCmVuZG9iagozMiAwIG9i ago8PC9TdWJ0eXBlL0NJREZvbnRUeXBlMEMvTGVuZ3RoIDIzOTAgICAgICAvRmlsdGVyL0ZsYXRl RGVjb2RlPj4Kc3RyZWFtCnhefRZrVBNXeoYwya2GuCWNe2ztZFZdrFpAxG61rWXVSqUV8QFsraEh kkAwIcE8REAlBMQkXxLCU6pUCISHQQELLbX12a2227Ocg7vbWneVbrsebbv1hdg77rg9e6Pn9E9P d+6cb76597vf+/vupanoaIqmaeWa1LXLX12xYI3GVmhKN2t1FlO6xqaP36ArsBs1lghJGj+TfxKk LM9SvJLmuSj+NyJ+VrSgkoqGpNE/ds+clM6cNjEz5hvmSYqiv5tGYJTi0ZnMU9JZBJ3yonROZCZG +lsKRVE0paTmUE9TS+lFdBr9Op37/+Uv15q36NK0OpOt0FaarbNYC80mLilh6TNLVpqLSy2FBXob t2hh0qL4eAKTuXyzhXtgCffQFC5iC5eRmcptKeVWJHCvaPIM5hKrofBpbl0Ct9FmKdMZ88pKDZzG pI3MrCvUmB6sc08ROVt0eo0xnzPnc5m61zi7lYjnCixme7F1XgKXqS+0ciVmi4EjX4vOqNNYdVrO biJiOZtex72ctTGTSzWbbNyawjydyarj4uM5q07H6W224ucSE232ggSzpSAxn5BYE40PaayJkW3x qRlrM+PXpK1ctXbjqgTbDtsDu7Q6m6bQaE34hUj9zOy1ZkuRxkiR5xFqCiWlplGxlJx6jJpOsVQq tZpKp9ZR66lNzGxmroiEhTyxVGwkQNGUihqmBHoGnUt/EVUmWiAqEl2KvsZwjFMcI/5QshTRwmcy QX/rjAj/U3AqwO/2u32zL6ZiFeDF6EsJgWNYdeeiz+fzgx8CNYEacIPb4/YIUUtmCSoQUtCzEgIn BRWOWuLzkAEBCJAXEb54N2E8jLWKCKeUWVglRI27vWRADdSQF1w+l899Z9lYhNPiB5wWpwqq2cvc brcLXEDEBcAHPq/Pi6PGJyNapSAZLhuieWZIdC8f+xXNzkYHKxzDx8QRzOF0Rv6EY5II5mh0Nisx +RNHsObGxmYWE0pJBFPKhAtwl/7qrghnnlb0WjtNJqvVZOq09vZ2dvaysjgI84NhGhd/JuKfnR42 SJJczYNK/qykE3w2Nv3VZDAAMkra4Byc6kL390sKXBVJrMEo7vd/DUNkfA39LkTYfIEnJ2+FY09M YvVVS0g+yWfhFQqLuKaoWl25s7oqDeyAhNVwd4KR83ghZj8+AzcRFif9Q5AJzPLERRtPgL+1f99w V2mXnq0i3nd5Ov58ZvAsXIV3n4Ol8PymFzLTkZApbGUcDrJsRbxELIuz91zAIjynC0tu/SkU+w6O /t1t/Py1lAk57+BzcIoCLq+5OLsdyQXqcvfZ8/B3dDn5jwviUjJStgZ39Ibbgr0nVLCTDR8fbRmA YfjQDklQ4V6/TV20udBl8VR5rO5qqPJUe6ASOeqhlR0Ry+87Lg++PE+YmWpSK3Ph9636c/014SAc RQPFbSarYZd64TdpmGax7OrV28qIhjjqOl4TxL8ejz1xY3MY77gi/4F4J0eBpy69KVDsZsgtL9Aj /AdJ257D1X2A8LTzV1vqXIFqJUSSw1XifL1kNeRBTr2qvcq/FwBQJVSVK4XjklKoepOtB5+/tq75 wOCZS3AKQjkNpQfyfVrYBHrIsGqs2vxtOYBWwIbTZef8Hr+nGZD8P4dbQ52dZaGtu/TVOc+MzcfR Soxu/xvLlTI8YwgnDNEk624+zLr/isU/Zdk9sfhBVgnZ0b+4JhOSHCFc1I5XBGN7xrFzdFsXSYdk PFXRVOWrYZ3g3uOu0s9JgkqiYt4h22DRBzAKAwj3ieV80A/tN7K+Fx4VUOIcAh+fnI8lSix7D4sO KtPwDIVQKa7D874MHQE00SQ8oSUeFrZ04A3nxjswdDiIyFMln687hNWf959Sn5V/186X8k8pWiv6 tGwJqPdotiD5hENzWOO3QwKkpsKLoA7qQtuR/FvH7p2lW4nPjC26cAmSf386o8yQC3lo5Y1MLMNT 7py8yEL/rpOv9WT3rIe1YIFcqPaSfe2G2u1h6INa6Ghte9s87DoI38DYGHwBg+WDlo6BIwOBtwAB 1IPf49hb44AKVNZScYBtOljfoRReEigFFHsMOy1VFTZzHonNhGMx3OxQQre3b3+oYV9HT6TIYC7Y kPzKaRx1f6oi66VN8+JST55m4djRwRE/Oif+CkfDMw9qPXyPDjeXxGLRqHwQN0wPS1Y74D0l8D8y 8jFhjgOMzPmG6teV91slbzhgNQtGLPIzsjhHiF8YpEm4Do2LeAPeqsCPzb0rxAiPzhdoEgbFnQX4 ERxz6zqWs0saFFAAWXa1/Q21aRPxgrq9+JhlBD6BAXgbznSOdB97v30I0Ai8a+/K7cqF9aBDsjeE 7DB+OsjPCO8Kxd4dwwfG5Zf4t7BRgeXzbwjR7DLQqEvsCEYZ+fcP9fxL/R618r7+Jz2j/ZhxQZh5 aBB+ARqZQPk7WRdIwUy9cx0rlEumCzGrnl3O5oGurXh4Vzt4oQ1hq0R+qffk8d6TgP72SbLAKGUr SM9jwjTfQryTBaU+Wy8SHsfLmUNHjx7v7AoPDO9/34vCkm3uIs82KIJs324vaYHt7obdUA7llbtr 9qD0ZctuMc4m0rTrYP/+xjYvgrBAuZjtoPIW+wj1efB63s9ANwQFo8oAt2rD5vXr3NsjrbTLF/Z2 AfouYordX90C+yHYe/iTv6ILc5kGR0s57AGnc2exB5HQUH6mG972HHKTU6baEXEe/emnIjzOL1E0 V0IpmywewLMCbUSJ1oqmMtIszB6nHmmF5HhgSiphR0UDtCn/JV4pDO4tg1KUdVR35vZHOK6hqQr2 kkL0uGocubOzrYWwHSpb4DB0+uprW9Fn+INvgWlrIntlJkew5QrWXGkJxvZeWxvCE9c2hkj76uSl ilPr3ixk14M+u8JmGc1qMgGavUFQWCr3ASgbwO/zNR65O0rq9CD0O0kOGMtW5wtcebpeoyYm2mB7 C5LfCwWC7dCDuu0NO4ss2ww5J0pGWNILzvvr9uUPaD8mNf4RVoSanOBSkr6x1129lXvZagAtlPfB EQjWBZtH0BH8JFPX1XHtPDmRO6F9N5L/YK4psZATorx5Rzcb7HtrSCmLXAt/xT8hjSM3O2p55Ja3 Ifbewcf46wp7kF/Zik3Q3CMWtngl7CuZxkTpI/XSKSCdOjQl2Biord0XqJNKh6YO1b1ZG6irra2r q6+VxoBU9j+BQsxVCmVuZHN0cmVhbQplbmRvYmoKMzQgMCBvYmoKPDwvTGVuZ3RoIDQ2MCAgICAg ICAvRmlsdGVyL0ZsYXRlRGVjb2RlPj4Kc3RyZWFtCnhejZNda6NAFIbv/RWzF4H0wjpqjGkIQqIJ yDZpaULZW+OcpANxlFEv8u/3zJzYQFm6FQSfOR9z3nfG0a/XvbsU9RHc8JGzN2jrXpfgptuicUaj rC77ClS3AxAghmg7Z6+6LvfQsXGaZ7mS3QMm56q89AKGrH8nreAs1T3F7MPGB/jjPm92y98r97no pNrWArTaFt2H+wbn/lJol5sdDrK7wPxn+Qybsu+bMtv0HXQrazVn/iPnHBfWSqR1ZWS3jnfTx7xB 8UkqoW82saNR4/gBE7LsbmTXygr9M8X7a9tBlatT7SwWzEM5su301Wp4cLwXjUqlOrPx96Ni6r5v mguYsRh3koQJOOEO6N+uqIB5xsNcYFR21/+YeS89XBtgOD228mn8Eq1vm6IEXagzOAu0hCdsscEn cUCJL3FOVccTpWPC8OnHQ6j8KLRt9ISNOA9miaUl0RNRSrQi2hCtLfmBpdAnCokCoglRSDQliojW RJmlCcWmFJvMiGKijCi1FBnBSCjYkG8p5kSkIbYaosDMks3CKEundrooiO8ruJP1w+o31pk78Xlg Za81npa9OPYYzSlIBZ93q6kbU2VfeymHv8bQy8b5C/WgG8cKZW5kc3RyZWFtCmVuZG9iagozNyAw IG9iago8PC9MZW5ndGggMjIgICAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeF5j YGDg4LigKagwxYNhgQsAEA0C+wplbmRzdHJlYW0KZW5kb2JqCjM4IDAgb2JqCjw8L1N1YnR5cGUv Q0lERm9udFR5cGUwQy9MZW5ndGggMjEyMiAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJl YW0KeF6FVg1UE1cWnkCYYI2ojFk9jL6ZdamaooGiRd26RwsqggQVYVtWUIMEkhASyA8BBFExCLzw J2gEkX8VIVbssbr2aKvCuFXHgz/1qGtd7W67pWqt/eMNO3rOTgALdo/dOTmTeTP33Xvf9333vifC xGJMJBJNiV4dHRmxNCBKqTQajG8Gz4lRp1r1KpP72wpuKjcNSgEHMI4ScbQH93tPbrrYIRXxCVLP O1Lxs9X85YEN/6nwmoZhotrx7vulichDOl14ei1C6u9+cV76OubtgYmwKdg07HXsDWxANEY0UTT5 FXHfSTYmqSOS1QaL1pITrAgKmhdmzMgxaVM1Fjo4KGjubPd9IR2qoCNVm9KMNnOallYZkulIBa1U 0NFGm/BWS88yGugktUalT6GNKXSs+j3aalabzHSqyWjNMMsVdKxGa6ZtRlMaLfyb1Hq1yqxOpq2G ZLWJtmjUdHjc2lh6udFgoaO0m9QGs5qeM4emzWo1rbFYMv4YGGixpiqMptTAFMHGHKgfMjIHuufN Wb4qOnZOVETYsui1yxSWbAudYjTRyWqLSqs3K34N9ItxtNGUrtJjwjUV88dmYXIsAAvG5mHzsbex xVgotgJbiSmxNVgsthFLwrRYuqeAqXDJMJkbXTG2B7sumiBSio55TPJY53Hes1LsLU4Vd3qt9WLx sbgd/0GyQ/Kl9xrk8uGcduZdBs1jfmZ8P2ZRNkskcFXtsvZMmJ9pK6vKB8gguRVzlydVb8DlGQ15 zVWusg8doNLhaCoDDude6CRbjkCTizpqhEaD3+qSNTuVNu/43JWp4X7E1qWXVvV1Xqw8+gkgluga z5QcI1tbYTvFL/xBZoFZSdmAcOVqEmAxuXpj5/EL/UfQOErISJk1sN8m6uH8PbnEeFl1SUVxFeDv DSi99hfa99jIvNyCrMKyneV2Ct17vsprW2V1bhNZV+9scs9dwAzIGRHKYD05Q9zgMgAvH5AjOV57 ALa7xxQfiut2bE+jnq+U6Ku2HQEodPDbqNk5rCf6SCUbWCnpsO/WAmFCfiY0GA7AWgrJn8t5+ahx KO7aVdPpnmxn0D8Y35ssmseW34ljiZ+4BCSSHTDBQsvOwvwiEGv9i91MhoRd7/u4HUnQ5INNJaU1 1K4SR2mRX1J5R2kVSfQ1N9QdvDoDbuAXx/L0fN6nbyaSUoQY+b3/ZN9QjAfn4XlEMr7dvajhCvH5 YIyqkmZ9tn1Hnh2sMUUWZZMLIi7d3kqhU3hTA+xCYyK+4Sfy3oqZvA/v+1SOxiPZR18eoCIQkBGL +Ab8wV72zCXyu6aQ+Ap3CBTP/pMVdXFRnlwmN1Hm0sE8wD/G83RQl9YBnRTqx/cehp0UHyDu1MMC wPfjW9Jhms4F6yj0GK9zQZfbDWRQL4MmCVxEst/f9eTe4XpkPYth3uK3NwaDuFmS/IxhRL/je2eP wrN6hKjZqBeNG8XbuDP4nWuwE8DqZNe+FuchIIThc7rR8m6mGyV1+7b35LCwB/mxGayjh5BhXDFH yhryXGtz1u/UqUCLTlttJIOWhb5lrVQfSqWyjcXpBX6aemP1dkA8WhKbbotL9lvwNAoRiHh68T7y 55dBHQjBCxLhuYbyiopqKr/RteUo+e9rn31BEfO2ttk7slzgQG1reZ3Du0p/uBT6OduqD1P8Ut5L FrMx8c/x609euHDq5GlAXFxy9kRiDPUj/1yWGLpBLg89eaqu8v2uFlDXshteJf+FPODcYdBuMsib ET1iUawg4Z1DlQiSUAH+beKpheEb1Nm5AMUM6TJiBLbjzwqTRoE4cwS1JBSBP+49cY5x6mIAvzlJ MiLlIatfyLr7lS/SfBXJEp9yyuG4s9ADfKgEpox47+d7eRwf5O+guyI6htwQQTzFtcrabI0mk81m MjXa2toaG9vcJEGGKxSEYBVW9N6wZ96Hqxl2PXNU4j7PCnmfUeOLL6f4LuN7tht5u3+TphKnuQrB mwXqASqRNEMknqvRbk7JAHV267F15Hq9YXshRXzeWZoFc8j0IactsIPieyVp1mHx3R8CSvBBoSgJ cfr+0bMnD1VrEgBfKMl9scLPXjL6DZNfoBTyHGSQ+OsrKCSudsHaTS8xyPf+BoNE+//lcLD9iBgW NQkwJyC9DE0MesJjPBY0Syh/368D+vu/foR8QeQuWYBySViY8tbDvstXrl27HKEYLCQTg4IZdFPY Ddy5V7DEFC7T7WX8/G//EJq4YZtQJI+FGn856WdHXpm0Ds9o7TJ0kz/3PUQEFfm7gPDwpUtSHpwB f5cQk3q6u9kbTOibQ+oQOoUQFQWwP7G1d4gFnInzkZ1Q7YtfEZO+NhF8ICFuD4pwxogwbvG9i0fJ pHRE79PRZJzwR2PvX39QWQVLK0Fq+aHiXWTLvvrmkSZ9nUH5jIEhMrg4NEH2Iz+had0uMLdu1e4P /Q52dH7zsGJ9Zhmwle0vdpIuuL+RuiXZB5uNZrsZgtZNidBG8vOtC7RJrcYj2VRnTnvRvS3eRPsH O+5uifVL0WoUK1VtN7JAbVHxHhOpg9k2yl+yGVoPOWvg8TqgPvVJcQeJlBBJdw9nJNT8eJtIWD+a K3AXhcbLGmGzLg1as8Cq0phtFvJP8EwrhSAKkYzsYiH38P2wJU0HLTlgYchIP/2Cr8QVl7U3zj05 +L0b3sH9vfeFIDWjBDlc26PbCJ+OE10Lw63rF8GjHQC1/m+j4Z144N+Mtz891lbfKOzqqa2wHlwZ rlL3QXECR0pnCIc97C33wS/Rt8DJhTnRotpyBw4iY/WB0jFQOpZ5jR3bXlPvKHM4HOWOxkqp1NUi PAqnirI9ZTXScf8FavnOfAplbmRzdHJlYW0KZW5kb2JqCjQwIDAgb2JqCjw8L0xlbmd0aCA0NjMg ICAgICAgL0ZpbHRlci9GbGF0ZURlY29kZT4+CnN0cmVhbQp4XoWT34ujMBDH3/0rcg+F7oNr/FHd LUW46hY8rt2yLce92mTaC9REoj70v78ko11Yrpwg+MnMfDPzTZx92x/871ydwI+fKfmATg2agV9s 69abzUrFhgZkvwPgwKdotyR7rdgBejIvqrKSon8yyZVk14HDlPXvpDVchPxMsfuQ+RF++7v97kdV +j+3WyVVGPkfcBmutfaplT6K/grL/yQSI0MeyBAn8wt0J5RckvCZUmoW3iQvVGMn7LxgHIUE03Bn IbkeHSEn27gXRoQL1o/k1lhjrLLFh1vXQ1PJs/JWKxKYAUTX65vr+skL3jUHLeSFzB/0aHIOQ9te wfZDqJfnhMPZSBuPdnUDJLA+VdxERX97ZNhnzfHWAjH9Go0QG2aKQ9fWDHQtL+CtjAk0J6uNeXIP JP8Sp1h1OmO6SZg+o3uI/am1FQoLI0RpGuaWosTRokB6QVojvSKVSGusix3FEdICCVVizIwzjKVI Y12GtMHYi6NkVHlFwt1T7CUZ61AzKTH25mgRIhkzLOHuGXWUWqMMRUi4Q4ZdpzhRliChZmZmcI45 h6y59p7cz5INWpuDdJfJnbA9JyHhft9a1doq97qLOv00lt433l9NohH+CmVuZHN0cmVhbQplbmRv YmoKNDMgMCBvYmoKPDwvTGVuZ3RoIDEyICAgICAgICAvRmlsdGVyL0ZsYXRlRGVjb2RlPj4Kc3Ry ZWFtCnheY2CQ/wEAAToBGAplbmRzdHJlYW0KZW5kb2JqCjQ0IDAgb2JqCjw8L0xlbmd0aCAxMDk4 NSAgICAgL0ZpbHRlci9GbGF0ZURlY29kZT4+CnN0cmVhbQp4Xu17CXxTVRb3fe++l6RJm6bQsid5 SWjDUloEEWFUulCg0s22bG4QmnSRtuk0LasoLgiCgIxAQZnBvYoLqKgoCsy47zqKOuO4TWnjwqij UIXCy/c/7yW0IKPz8/d9v+/3LSkn97777jv7Offc+wITGGPxbBnjLKu4LHPUTcdrHsXI64DpFXW+ hstL3vmAMWEwY31WVcxvUr5sMcYz1ncnY+LIyoaqukvEeZ8y1v8zzH+wqnZR5SVvz5jN2ICbGDOW VAd8/uPHSvYw5voH7p9TjQHTblFizJ2M68HVdU0LjZfyZbg+F9fn1QYrfJa9CZNw3UTXdb6FDfJz khfXoMeUel9dYM7Br27E9dvAmdLQGGgY/9J+I2O5X4DeQCZI7wg3M5kxebS8BVw79JZ/wCrFXuDY YojjJkkUpQ6WFvkrO9olMjYEmFlJZZ6fZTElEjEkq8nCrcY6oW0OEz79FLJpH+CEhhhLB4B/UwEj vbFk0hv10tGatXHJpICSBMwmmsmuEp4T2oTvhE7hqOgSs8U8sVB8Svyz+Ir4rviJ+KX4jfgDn8Bz +Uzu4818Mb+Kr+I38Tv4m/xzabZUIYWk26R7pMekPdLz0svS69JROUm2y9Pl2fIKeZXBaDAb4g0p hoEGp2G8YZrhYkOdocmwxLDMcL1hhWG9YbPhbsP9hh2GvYbXDUet11qvt660rrKusbZYt1nvst5j bbU+YH3K+oz1Ddtxu2iPsyfb+9qd9gz7efZL7AH7QvsS+3L7k/Z9jt6OEY5CR4VjkWOL4zbHHY6H HI84nnI863jJ8YbjY0e742vHEcdRZ4rT7sxzFjpnOGc5L3Fe5lzq3OV83vmu8yPnt87DTlUxKx4l TRmrjFcuUPKVqcps5ffKWmWr8rjylEt0ya5EV1/XAJfd5XYNdqW5hrsyXFNcs90J7kR3b3eKW3GP cJ/vrnGvdv/BfY/7Rfcb7i/d33oMnhRPf4/LM8Qz3DPGc4FnoiffU+gp8ZR7LvXM8QQ8NZ4Gz2LP Us91ntWejZ6HPW8N9qRlpq1O25p2R9ojXskb5/V6p3oLvaXe6d7Lvc3eDd4d3r3ev3hf9H7m/XLo 10O7hmUOmzc8YfiAdH96Q/qC9MXpV2f0y3BmpGZktPZpdbZ6W9e2rm/d3vlCl9h1TdfGrm1dD3V9 2RVRm9TjaiRyIhLR/EdhtwtvCB3CYeEn4bg4WMwVC8QScY/4ovi6+L74meYFLOoFTZoXXA8vWMvv 4m/z76S5UqN0s3SntF16WtovvSS9Jr0l2+QB8lnyLNkn32gwGOJOeoHLkAUvmAMvWGS4ynCd4YbT vOA76zXwghWaF2ywbrHeoXnBdutD1j3Wl21vwwtM8II+drs93T7SfoF9rn2B5gW32Z9yMEc/x0hH uaPacSW8YJvjQcdOxxOOZxwvOl51fOj4zPGF4xvHT07m7OdUnFOcJVEvmO1c5nzC+aLzfefHzu+d nQpTbPCCTGWccp6Sp3lBg9Kk3KzcruzWvCDBleLqf9ILhmleUOa6GV6QBC/o6/a6z3Znu+vc69wb 3S/AC/4OL2Aek6efZ5AnVfOCsZ5sz2TPVHhBqWeG53JPhafaM88Tghcs86yEF9zmeXOwJ5WlnZt2 c9rtaTu9gtfgjfcOhRcUwwtmen3wgs3eR+AFL8ALOuAFx+AFVwyXh/eCF9SlN6cvSr9S8wI3vMDU OrDV3Xpj682aFwhdpV2ruv7Utb3ri67jaoM6H15wlLwg0hb5S+SpyJORXZHHIo9EdkQejtwXuTdy T+SOyLbIHyNbI5sjGyIrI8sjv4/URGZEyiIlkamRCyP5kSmRyZFxkbGRoZGEiDHC1RPqUfVH9Yj6 g/qxekD9i7pf3afuVXPVHDVbHaeerZ6ljlSHq17VrQ5S+6l91GS1t2pWpRNHTxw58d2Jf544cOLR zuGdwzqHdHo7UzudnY5Oe+egzoGd/Tv7dfbtjD9s/kL+goU7w0fC34UPhtvC/wz/I/xa+JXw/vAD 4e3hK8KVYX/48vDF4ZnhGeHy8IXhKeGJ4Zzw+PC54YxwenhYeEg4LayEHeFB4QHhfuG+4T7hlHBy uFc4KWwLW8MJYUvYHI4LS2Gx41jH0Y6fOr7v+HfHJx1vdrze8VrHyx0vdlzVcWVHc0dDR7CjrqOm o7qjqsPfMbcjv2NCR2KHtSOhI77D0iG3R9qPtx9t72w/3H6g/a3259r3tj/c/lD7A+33t9/bfnf7 be23tm9u39S+sf2W9j+039y+rn1N++r2Ve0r229ov759WfuC9sb2snZ2cPDBQQf7HUw5aGzb3fZk 2+Ntu9oea3u0bUfbw20Ptq1tW922qm1F2/K22raqzys/n/l56mdff1b6WdGn8icnPjn6yU+f/Pjx 7I9nfTzj42L/fH+jv8Gf6LdWdCb/w3aHrdR2oS3Hdm6imngo4cqEJQmL4pfpK8b///w/rgFUTyi4 zta1IFBNgXqBXRWtL27H2HPoz0X7BqANcAOgA/Ad4I+Aw4BOwH2AnwBHAQ8AjqPucKF9CC3qNTEb /XfR5gLy0P832gJAoY5DLAE8peMSUaOJfwbMAbwIeAVQBUAdKBKOeYD3AZ8AQoDPAF8CrgR8EwXw Kf4QhRV6ucQn4HolWvBAIL6MdqYORIP7dBBfRYuajzej/xraxTqI0AGHbgjEN9FeD1iF/ltoUWMS EF98LeAO9FGr8rsAmCt+jRZ1Iv8c0BcA/UmoTflQtNCvVIE+qkOpEQCZ+G1obwag5dCzdCfgHvTv R7sd8Bj60K30NAD64k+i3Q94Hn3oUXoJQPLtRQsZJOiO033wKsFG/C8oI22AJPT/hXYAwI7+t2jP AkxHH/qTZwHAp9QfLXQjQ5cSfERG3StDdmkyYwYDAHWvlI82DoDaU5qKFt5FIMHGhhQdpCK0A3WQ itE6dZBgfwP8xTAe/YvQZgGmoQ9bGy7WQboGLXzCUIf+tWhhIwLSk2ERYAn669HCPoZl6G9Aex0A dpJa0MInDMQ/9GygeQDSr2GzDtJWtHfrIEHnBuiaQPoT2h06SNvQQqcEEuLDAL0SSLC3ATY1QLdk Kyt4tYJH6UG0oE8gPYwW9K3wQQm4rNAfgfQI2jU6SNjvWMG3FfySja3g1QqaEuxrBQ0r/EkCbSt8 gUBCnFhbdZBgUyt8w4r4kxC3VviHlXzhBbTwEesz6P8VLfzCCl+W3mPMBp+0IValvzNmxzaBQIYt 7SYAbClTi/0RgQy72vsA4L+yBS38xQ7byQlosRexZ+g+ZR8JOA/93mgvAFyCPnzGDj+3B9CnsQWA hejnoIXdCOSJaJfrICNH2GEbO+SWsQezQw77PvQRJw7EsgO45SvQ9gOMQB82d4CuA74mQ3+OcgDm ytCnoxoA/5ChHwdyhAM6lSG7A/gJ5O/RQscO6FeGzztgMwd0JyMXObDXc8A+MnKb4wkA+JCPoYUu Hc+ir6JFjnIg3hAGzIHc4YBuDdCj40PAx+jjhgM5ytGOPuLBgf2hA/nAgF2gA/nKcQR96NVBNOA/ BggItTInxQz05oSMTujacA5auoZuDNCvcwqAYgt6dSJ+nDPQh6xOxCyBoQEtdE9g+D3ay3QwIMc4 EdPOpegj1zgRK85d6P8BLWR0IocYII8TcjmRbw3IaU6Cj9A/iBYyOZEnDF+hhe6cyN+GE2ihLyf0 AffRlhEF/mKEDynwCcWDPnxISdPBiJ2ukgkYiz5yoDIOgNg3jkIL2RT4iBHrkgJZFeQVI+YpyCkE RroP/gmM56OFnArkM+IZBflAQf41In8oyAsKYtoI+RXEqvI4+tCPshsAOxrhMy7YicAIHbiwryYw InZd8GlXIvqIYRfs4ILPG+GXLuRBF3KlETHsgk0IjIhhl1sH42q0WO8IjFgPXJCVwIjYdg0DDEcf /LkQKwRG8OiCHQmMyEeuMgDJBVu4cM8NPozwTTd4ITCBnhs52w3/N8FP3OCNwITc6QaPbijeBD7c dE6BuDAhLt3Qoxt6Mo1Gi3XYXYM+rt3Io27wa6pEuw4AmibI6N4IQG4x0dkGcocbfmC6FS38msAE nbqRL9xYc03Ik274AoEJMQMzMw/83YRc50Hu8BBv0LsHPuyB7kzIS55BAPBrAm5sfJgHvmDCGuWB bghMWKM8Y3QwIT95YHsPbGt6By349yBPmP6GFmuPB75hgj964BcexIIJceZBLBCYUK94SgHIBSb4 rQfx4bkU/TDaywFYS0xY+zzIEx7kJRPytwf+4SH9IA94sPZ44FsmxKcHceJBDWDqQou4IYhDUeGB 33iwxsThdMUDn/BAn3EkN3RIEId49yDHeKCPONjSg1rAA/niIP9gKIsgDgA1sDTEQxz8Jg3nT2nA YwbfafCBNOjbjPoqDT6chhxlhj7TkJfSkJfMyI9e1PJe0DfDp73QvRcxZ0Zu8oK2F35gxhrhRYx5 oSMzdOWFngiQwpkXa7AXOrIQDqz5BBbEgBc1kRc6shA+rPte1EIW8O9FbiWwwMe8WDO9WMcs4N8L XrxYlyy/Q4s8S2CBbbywsRf+Y7kQLWxDYEHd50UN6YX/WMDHUORCAgvW/aHIrUOhYwt4GgZ9EFig h2HI9cNgDwtqguHgbzh4scCew5FDhyMeLbBlul8HC+yXDt9Oh+0seC4dvKdjvbHUo8U6kA47WpAv 0rEWpF+NPmybAf8ksGBeBpIvgQXrUwbkzIBxLHguA/FKYIHtW2HjVuRsC3JIK2qZVpqPGG/F/Fbo 3IJYakX8tCLWLdBTK+zYivi2oJZoxRpNYIE9O6EfAgvs2gUb0CGgBfVDF+TvQh6yoBbpQn7pgi9Z sGZ14fku5AML9NgFHF2IOcs/0WJN6SJ9Qq9dWM+7sMe3YEyFDlTkRMshtPMBuGdB7a3iPkE8ZIxg zYkgf8cvYsKBizVg8Vcx4f0GAOqN+KuZ8EEngOY/hqUNeR2VuvbvlI/AwL32ibWnTTh5qT/JcSYp Y9k04nQyDieWFpz9JjArS2Q2lsR6sd4smaWwPqwv68f6swFsIBvE7Fj+nVheXMyNZDMYgZPGvDg3 HcqGseE4+RzBMlgmG8nOYqPYaHY2G8POYWPZuWwcG89+x85j57ML2ASWxbJZDstlE1kem8Qmsyks n13IprICVsiKWDErYRexUlbGytk0Np3NYDPZLHYxu4Rdyi5jl7PZbA5DTLAb2Ap2I1vNbmGb2Z/Y XexOdje7l93DWtn97AG2nT3IHmI72MNsJ3uEPcYeZ7vYE2w3e5I9w/awZ9le42DWyPwswGqMaWwh u4M1sHlYP+azK0yXspXsVtNQFjLNMflYFVtgSjI5THZuMo1ktexK8d/sPvY0u4ZVsHpTqlBummhK YXVsKVbVuexatpy1CMlCirGvsZ9RMbqMg4x29lTcN+zPAq2wTcZRxtGWOy13GVPZIqPD6DYOY9ez m9h1bA1bxdaxm9l6tpZtZJsg4Qa2lf2R3cZ+EKvERez3YrM4X1zAFouLxYUiMiWkeU2D7cJ6tFhH 8L1CvBr2j/3tZs/hvqjN2y28JtwoPI3+vew4vq9j3wtm/pIwFj3kDjZTcmF0HWjS0+t4mDXzZ9i7 7BX2EXphYRzHs9hFuoRPge3GbirY5dzInsP3Er6XzxScQh27W0DGZUtAM8iuFtGKpcD8hoQ1hL0B u62A1e5mQfSJs+vA/8ewz2p2mG3GXvJi9J9mL4AfFf6oySIcYJ3AtF08X6zEvBeA7VZ2q3AdO8BC EhPMmPm5fEAcDqy7IAHtmrfKB+TNpA+0B+TvcAdFrGG3IdnogRSkt3uFZ4SzxCL2Lp5fwsr5pfz3 /CNhueSRFvAv2TqR8TnsCvaWfMCQzNYZPWydoVJYJM3R/lAxsyXiAmmOsJ19CZxz+U+4doGzrZrE jO0SS+UiuQgyV2Jsq/a9Tv822Ngb/Bj0vl5UhSnSJOyN17ElUgE8GdkHERXEd5CPAfUgWyKv0f/g 09vZCHkN3wT8mjaE0eL5bKtYKawGt53QZpBPRLxVMrv8DVsu7ALfzLiUheQDeD/BnjQaZImLAktX bDvF1Hz/zqyLZiovz3KNSD/tUrEZlZ2sZGfCImV3JFIyUxooz9opD9rJU007pVTP5//p5ucj0qeW zFR2C33zJkbR5s2ZiMGymaCAfzQMcnkY0wfyd8qp+Jc/Z6dSUa2ssq3yjF9lC4wfAZtXq5ukavlu 5Ckjcz7DJIFeFBmE5CcEk3wd3hxlPv/eobOY7b1D7x0a2TvJlZTqSnJVS+x4iA883q5uMlp/+r7R gIWXMt3ySJtUAB+wIJt5BHPWAH5PXK8WR3xLv02OLYNTHAOx+x3oTnS4nINtxw8Bo+0boD54GO17 34zMej+TZQqZYibPlDLlTEOmMdOUGZdpzrRMYBOECeIEPkGaIE8wTDBOME2Im2CeYClmxUKxWGwu tsxms4XZ4mzzbMs2tk3YJm7j26Rt8jbDNuM207a4beZtlh1sh7BD3MF3SDvkHYYdxh2mHXE7zDss +9g+YZ+4j++T9sn7DPuM+0z74vaZ91km/SdmoqT4bGm2PNsw2zjbNDuOCP8nRIMvEy4Tzj5n9Kg+ KckGjzutt1tMsvUaPapXkk30at8ebURoKzzn3JLicedOXb5m9eo1a1evXvvtkSPffnv4sPjN2JKS secWFYhb1bfVV9RX1beFkcI5wlhh5O3qQvUa9Vp1obBSuEq4WkB1hhULexRpErzRzNKyknmLJLbI K42sJc7kMTg4LGOBOZ8/DrNmHhp1mAwLo8pjUkcn4T2AYBXGqw8LJa8K5xx/ebvUXLD7wmMHsAgT Xjo/8MC+g9hFWUPZoFTZIPfrP4D3HZhqMMg5tqTWhJbkTRJrEZnNLApmR1+3jQ+2246D1v79Sb3G RQkefn0kXNVok/+V1HccNX1HzXKngvYYLGMXCGPOTvO4DcYxFwijR0nQmdEqCM3iw8eb9wj9xvgn 3bLskpcbql7yfSRYZvnPPbB9+/YXhIwLFrcUL12bk/v6WaO+fHbO/qZsOr5jN8Ifx4LfIWwy+O3d kmJeHXdvQovBuVq5d1CLZ5NhS8r9Q/v0Zjy5vyPN5uBuZ3Kccyj4BcPvHQJz8M5DcE9y0M5vbN+M Gyk4hJRkCVb0jnGAvXPA63BhjN45hWluumWr+vWRqverKl+ce++jj26+9dbVW9ffMGtv9aJn8/8u yDdyp/eljW9+nTb4lTFnb1pz7ZZ7F9eFlgwZ8rSifPT4EkqiiE2sNVIQdhRRMeRkOYUEnsA4T8hh 3GJskQW+Mk6INzOHSTIkxg+22o4ff++8Q6OSSM0HqddrnK5n6RUo+ZVZ7jjBxUcnjU7xJHmSXGPE T9Whwgeur1566ZUTK2T78a/5G8dH361uFfw4ghDYOuhuBGjb2flZbsloH9BiTFptW5vckiC2sJUJ W4zbHdzB+joEs5vZnA4y8vPReNYCGvpSnwcHvWHXJDIlS0lmpyiO9PWWePjE88NnpH8h2NS2Hxe8 UHTp077Wx/e0XnQr/He7ut6WqH7z1SH1O0V5Y9RZO++8/dHUVGgjlmf6oTY6P8tjdPZvMTtbbOYH JKTotVJLn022LaluB0tLcBsNg4TezlRKN8cPUiLTzdlugzmTYM+UDIHCjxjslZIsehSEInON6iO4 DSnJfXTD8k8nrC3c/+LI7fUf/uvwx+rx7wWPkHzhBvXjazZsuOaGlSvlXU+netVP1bB/nvrjD9+r nUKzsF5YLKxxnqh9+u67n37koYexk4FOsd+BPx5ANTgmq7+cKnKRp0qylCNDo1zmgiS4mdMIXp9P GkdWPHwoFigUJbPc0CVIu1bzB0989a5oOjFGPjD92DUytpOcXQd7FWm514PaMDcrtV88a/EaWhwj Wnoh+3rvH9kvfvAwR8pgR2KcI2WgmzsSXc6RMNshzW6kjZi709U46KaHClIzEJbRHGaMxsBgjPSO 6QjGFKtX3LJx+cpbNqqvXrP++7ff+X79NZu2qerBg2pkW+GyRYuXXb1k0TLxhZZVq7a03HTj5nLX rqsffeedR6/e5XK9vO3Vg22v3P6KMHfhVVctXLwMmwLy/6sh0yRNpsHsd1nu3gbW0ucBW8Lq+LW2 FrehZdAm95bU3gYuON1xjvi0/mTmg4dg6diiAh88olk5Fp8wKdcCt1eSlew+5uxeoxWkYBxrpInl 19xyC8y54nOy9guZZO0fPhGk7/HS7+v8DeKmmClP3AhzCy6hv3+eYD78byFOXaUG1RVqCNsjqvnF GdreYXbieUeYE1sofN6c8AH2kHrbteqEIO81YY+HHUHsg+eMdSrOPaR3ulZFkuW9P993oMKhavTX P8uR/zejVqxEtbMcPncdw/4PO4j/5u8roY9QL7wpxosXi0+IB3kRv0/jxC7GY+cxD56L3M62EOfy DCEJOxv6xUUfwXqS39lsf7QvMJuQE+2LKCwui/Y5xq+P9iX0n4z2ZRYv/DPaNzCrmBDtm1iSmBXt W8DJ2mg/Ie6WlPeifSs72/lX+mWIhHMBrc7W+wJTBCXaF5lJKIv2OcbnRvsS+hujfZn1E16O9g1s kPBttG9ibnFQtG9h41Fn6/gTeqeJD0b7VlbtrMZ+K4g9ziLsemqwp6lmTdjHDcEeZijaUdizjcSO TUHdvAjfOZjTxEKARuyQfNjdpGM0n9VjfgZ62dgH1aItPYkrpF0F8EwAz8zHtx8zzdjjBVDF+rCP a8aMCtD1AUuVNlNBn/ArwFKP7wbMmQu8NZin4Pkg6Pq0e/Db3GDDosaaquomZUjFUGXUyJGjlbmL lJyaplBTY8BXl67k11dkKNm1tUopzQoppYFQoHF+wJ9hnhi4wje9GQWmr74qEFJ8jQGlpl5paJ5b W1Oh+IN1vpp6EDiV0zKNT+KxEHzUU0UeRVPmqw8phcF6jORgOAjnYznBIL5/A4bf8Mh0TcMh6IX4 IttlaHttNj3QGKoJ1iujMkbjqifmmDCniUKS6IKcykalhpnsr+Bbt39M+spgPXTbBI0zzYeaYLXx yOuZ2l6aLD0fVszAs0G0jbBkAPEeRI9sngG8ATzDqpuaGsZnZvphmfnNGaFgc2NFoDLYWBXIqA/g 9qQeHMR8JOarP/dN8mPyO/KkufiuxdML4Nfkqf9z/I882XyGqFDg12QNHyj15PnnsWbG2chv/yPq /zvi90yZoKfMNdEoJj8hLZAPUMw2IigUWKHyV3MJSVai6bAOHh3q4dc67mrtXiCal6o0KuSblF8o J1Vqd8nyOjU9w+jeRvebME55pl7Law3R2NEjJwisTdEMQ1mmSptJOPRMGcPZpHFBtLrjwodZNK8O M3XsMQw0W+ddz2QBLY/Q80NwatbtJW4t89Kzfq0l2YOYX4O+Lp+eAysQR3UaFuK16WTcV6JXG82j QzCu89hNQcEJGumkCbGgxxBR7NYJjTRgPAgqzRqf3dz4NQnIpjXQUbPGD+lSpxGT4ecUCDvpoQKc NQNvTCcLtPWkWssJtO6QZsjep0oUw9+9QukZiCzYrOmQ8MesQ33SS7etu9ePEGjR/TPJQeO61jO1 vKRomPX1TMddE9Wq7lH/ndQxO+rc6n6mS3iq13VLtEDTR91/RYG0Sk9Wajm1XrsiW5CP6BTJU0iS oCZ3SFtJr8CMCo0DfU5PPyZ5KUvGLESSk06IY31lCSGvU3SWR63uA8agtrJ326BnLdGtgZ9nAlo/ CS95mb7u617fHSvdGuuZA3o+R1JRbOuWojx/qq/p2tAridisM9mTZNPzBdm+Tmu788evW5u4XqRZ uBJ0dIn09SGmqf8cH0TPp2UWnX+iTjqnWI5lNOKd4o240nOczillV8qvMZt3+3F3/URxruu5GVjo qtvq9CxVDVXRukb37irMI2mqNbvolGI5lKTTOaF7umZP1w/d+WWZeuY4kqDbw0jSM3Pwy5ycSu90 vZyJR12L9ZqsJEnPuD41q+u+QN/1Wt3TM8ZiIySz7pl6JOiZmfQTiya8VYhqqqcFFmj69WvadJ+h mnCftEBMy7EnaH6s0nD38DY9KxScts6Qb+lrkx5t9Zo3kK5jcTcfd2t6ZI8YvQDehJDFSSKa3YA/ fRWj6KfVJpZLelY7utf8ktcTflq7aD2nlU73f6Lz8xjo5lKX7kw5nGKgWcsh5J3dFj+TVrvrFdJv tw1/a8xSjq09uWZTdtejLlYtUAWhxx7VIPr6cuo6rD9TgRqJ3i7pVau+LpJX/bz++F+RsU6P2m6p 9B2gvv+jdbHypL9Nwfs6snMx3tKVo1eG3iT0ZmA/WKrdy8eYgnquFHem44re8E3UvD1bu0P33VpO m4F+Od78FeMdH+HScZTim3DPwgjhpp1mkXY1FfOLgIuezcMbQaKRB2yEtRh9wl2I0QK0RFPfrxah ai4AhYlafzLGcqL06D0j0aX5hRovOqflGO+meipXhFmnR5wV4qoU+KdEeaZ3mvkaPuKf6E/S+kUn +STNEafZmo5I3nLMyAVHBdoVjU5DW4J5ZZo+SXriirgt0mSYhPu6LHkaB7oldI5ytXens7QZ9Fa1 XOOCKJF0NJOuyzUtk2UKNapTtVGdM9IJWZn63VhoH0U0dT5I/9NPUi7T5C/AH+mW5KX3tmSbbOCP 4dWxKuCKMBDfuh9N0+Qj/vI1CQkH3SMtkj4LTs7U9ab7Atk0W7MbcU7PkySkkW5v6ClJDNup1jmT d8QoEC6yG2mqQKNSBj3mgTLxpY/o/pivyZob1a2OU/d70ndsrq5dsk+RZtmLILk+Q8d3uhR6hJDO uu2hW4A4pG+iGNNZt/UJI/Ec44e8mbzs5/al+CNOiBJ5AV3FYoR8jKyk+4UenzqNmB2nRf0zFnlF mrW69RuLo9i82HO/lDt0XDHap/oi6ZP0pHOoZxLSw6/j1bN8HtY1qtQaousarSunrtw9q8fuqrRn /anvnPQdUM9KQK+jJmu5m1bcnvO6R/X1UV+zundxPWu4M51rxE7c9Jq+u/qNVR96FanvjXpWv36t TtdrQar59L2tvk5T3aLvqqn613emsV0L7QapJj11vxfS6mldMp3Wz3HROk0nRVQtELVTK0Z9Jf+l CuH0HSLtTGkfQhwv0Pp01qRXDD5ttaTdE40vPm1XrMvQbatfs0FMll/TP9WEIa3up6q4RtMw1ZOU HUky4lTfn8X0q9fM+ukX1ayxnVVsF6vXjYRtvPZsz9MFqgaoUtd9St/f6TUG1RVEE0eWk7TDODrP pDPRk2ehypBQIKDMDdQGFwzNUP6L088Ms7n7YRwj+hQd88kzV/OIX/yYzb/9dLYH2xrlGgikNDX6 /IE6X+M8JVh5+hmv2VwSaKyrCWlnnZhdHWgM4CS4qtFX3xTwpyuVjRAej+G4F+eJ6UpTUPHVL1Ia cDqKB4Jzm3DcW1NfBSoVOFKmmU3VAUU/1/RVVATrGjCdJjRVAzuOiAP1ISjYranEPRTI/IovFApW 1PhAD+fHFc11gfomXxPxU1lTixPmIYRRe0ApC1Y2LYCF3EM1TvDfVBuD/uaKgIbGX4PD65q5zU0B jYdTHkjHGXVFbbOfOFlQ01QdbG4CM3U1UUI0XzsOx2FsUGkOQVASJ12pC2hSa6fboer0HjTSiWZm sFEJBXBKjtk1YDUq/mmkiTmghc5AMKo6jdCC6mDdz3klM1Q2N9aDIDSCaf6gEgqmK6HmuVcEKppo RNdxLVySBKoI1vtrSGGh8WZzOW755gbnBzQJ9DN+jYGTTlAfbIIZYB4aJatojOkeoN9TQtU+CDWX TvZJa2ADR/w01C1nsB5+0ajUBREvZxJbaVrUEKj0gRDigZg6RSlKnW8R4a8L+msqa8jRfLVNcD10 gNTnJ5JNkJl4pLcLvkbw1Vzra9RE9wdCNVV4bwC6+K/RDdXoNWoe6qsAkhA9EfOA0OmUdI/z6wrz 1fZAcBqSKIcxXroxgsX62kVKzSmuDi00Buj/UWsWo06IlEm2iYVIAH4X0AVYEGz0hxT3yTThJtqx G4qbQtetqQ3WKYjGzNwAoomwNsMOJMT8YI1GjJ4LLGxC1Ci+hgaEmG9uLUIgGE07wHyq6puqfU1K tS8E/QfqT1pAV3Woh4f7leZ6f5ThblYVjTldwl+ybChYS5GtmY4M5VNgvSqgC0VjGHcq5vmqkFoR i/XBk/njv3esmGk1UkhaeHsVqK0kpqbkKZOKi8qVsuJJ5TOyS/OU/DKlpLR4ev7EvImKO7sM1+50 ZUZ++ZTiaeUKZpRmF5XPUoonKdlFs5Sp+UUT05W8mSWleWVlSnGpkl9YUpCfh7H8otyCaRPziyYr OXiuqLhcKcgvzC8H0vJi7dEoqvw8PDdJKcwrzZ0CzNk5+QX55bPSlUn55UWEcxKQZisl2aXl+bnT CrJLlZJppSXFZXnAMRFoi/KLJpWCSl5hHoQAotziklml+ZOnlKfjoXIMpivlpdkT8wqzS6emE4fF ELlU0aZkgEvgUPKm08NlU7ILCpSc/PKy8tK87EKaS9qZXFRcSDqaVjQxuzy/uEjJyYMo2TkFNAje IEpuQXZ+YboyMbswezKJEyNC06LidKuDHpicV5RXml2QrpSV5OXmUwd6zC/NywW3mAndQxMYBabc 4qKyvIumYQDzYiRgkCl5mhwQIBv/cjXONPGLIC7hKS8uhUKirMzIL8tLV7JL88vIIpNKi8Eu2RNP kIzToE8yXlGUX7IRjf3cOzCLno5qcWJedgEQwkmKfj4X3pW3sCLQgFgLxYJbT49aKtXzJxYnxKSe BOD6k+sRuPqY1kU8IrK0JU7PcN3lAr12RabX0i+lD6RIrEZ6+vXPDyALhijjI6aDlEwW1GAxpaWl MVgXjK57IV8tiOGpk7OQL321eCyaGMHmqQkhtiA2NNYA8YLGmiYkE8XXjGWysWZxdCkGhTNKQFRO 578xEGrASlUzP1C7KAPEGmk905JfTT3eS9ZFRddyY0XT+Fi50KRUaerxQ3C8vcyg/3Tz29+KZmoV +TxAplY5UkW9ELUenc42YOzUc75ffoeauaBmXk1mDdLhwoyG6obMaE6mH2k8JS4TUh7dcJmcPUhI wQ+NOb6Xab+vVNHvrX33wg/AOX5GQX2b9p2IH9xy/JyC+gmPfj1Zzk4VEthSXMXjZ+BcsOBFNMcP aQlfnDbLhB/vcsGo9Q3aHFnrS9o410ZEbUTImqVyVeUnlvLjKu9S+bFR/Oge/tNS/mPnTfKPKv9x v9R5ZJbceRPvXCYdOZwmH5nFj2RJh9P4D99nyj8c499n8n+r/DuVfzuKf5PM/7WJHwKLh1R+aHfk nayI9PVk/tWXfvmrTfxLP/9C5eGOgXJY5R0DebvKD87jbSr/5x7++Wf95c+P8c/680838U9U/rHK //FRivwPlX+Uwv++if/twxT5byr/cI1F/jCFf7CUvz+eH8DFgfH8PZW/+1ez/K7K/2rm76j8bZW/ tSpJfmsQf7MPf0Plr2/ir61OlV9T+asqf2Upf1nlL6n8RZW/cGuC/LzKn1P5X1T+Z5XvB779yXxf PN/77B55r8qffeYy+dk9/Nll0jN7UuVnLuPPZEl7UvnTKn9qE9+9Llt+UuVPoHniGH8cuHap/DE/ f9TPH7Hynb34DpU/rGad4A+p/EGVP9CLb1f5/fdZ5ftH8fusvPXeJLl1CL83id9z9wj5nqX87hH8 LpXfqfI7VH77tv7y7X6+7U82eVt//icb/6OZb1X5bSBym8pvTeBbNmfIW1S+OYO3gH7LJr5p4x55 k8o3wrc27uEbl0kbbk6VN1zGN2RJt6j8Dypfj+v1e/jNqXwdlLEum6+FtGuT+RoLvwkDN/n5aiht dSpflcRvVPlKla9Q+Q3Lk+QbVL48iV+v8utUfm1SjnxtGb9G5csW8quvWipfrfKrlvKlDn6lypdY +WKVL1D5fJU3N8XLzYm8ebfAsv4uNcXzpv1SqBcPZUmNKv+9yhtUHqwvk4ObeH3dELm+jNcN4bUq nzeKX6HymlG8+hiv2sMrVR5QuV/lFXMdcoXK5zKbPNfBfSqfo/LZKr/8Yot8uZVf5ueXvswvwcUl yfxiC4dHz0zmM1Q+XeXTBvaXp43i5SovU3mpyi9ayktUXpzMi1ReKIyQC1VesIdPHcIvzO8nXziW 5+f2kvP78Sl5/eQpKp+Mq8l+PglXk/bwvH58IgYmjuW5OUlybi+eu1vMyoqTcrIT5ZwknrNbZLjK zrLK2Yk8e7ewH1dZE+LlLCvP2i0sw9WE+Dh5QjyfsFvIyvJLF6j8fLBw/jF+nsp/N4SPV/k4KHic n5971gD53Kl8rMrPGZEsn6PyMVP52SMHyGdP5aPRjFb5KEwcpfKzcPusAXzkAJ6JXmY/nhHXR87Y w0ek95ZHJPMRu0Uim25LktN783Rid5M0fFiqPFzlwzBzWCofKo6Xh6p8iMq9Kk9L5Kl9cuTUPD44 kXtU7k5MlN0qdykjZNdSrozgzqncAcoOldtVPgi6HaTygbDKwP58gMr7q7yfyvsCQ99JvE/KCLlP Dk9JtskpI3iyjffGvN7JvBee76XyJEielMNtoGBL4jZdd4nWeDkxkSfqurMmmGVrPLfqukuA7hLM PAG62yXFx/F48q2xkkXlZkhiVnlcH26ycaPKDUBtULmczDmE48fww/sRsjie48dnsjACPzXjwm7B v3yNMPz/ng/7P1wU+/8A5aJE4gplbmRzdHJlYW0KZW5kb2JqCjQ2IDAgb2JqCjw8L0xlbmd0aCA0 MDUgICAgICAgL0ZpbHRlci9GbGF0ZURlY29kZT4+CnN0cmVhbQp4Xn2SX0vDMBTF3/Mprg+D+dA1 df4do6CbYsGprGOIb11yOyNrUtL2Yd/eJHedIMNCob/ck9N7TzI4e8+je2k2GI1HHJbYmM4KjGaL omaDwdyIrkLdviJKlH21mcC7NSLHFoazbJ5p1Z47cabFrpPYq06LHnCr9K/E/weGK/yIXp7nn9k6 muN3se7yQjcLo03EvfFKtTuc/CsDZwEnLSBYrNE2yugJJCPOuVt41HJmKj9bw+LDEBD3Y5VKS3vI Aja+ZZZcgFSiPVBYE5ULyW/O902LVaZLw6ZTiJeu2LR2Hzo+Z/GblWiV3sLwZIdOkXd1vUPfDXCW piCxdMYum9eiQoh9Ppl0VdXuTwf1u2O1rxFcr84hoWaFkdjUhUBb6C2yqQuApzB9ck/KUMs/dU67 NiXJnaD/TI4l8VVYb5SMnRHnY54GuiRKiK6ILoiuicZEN0SXRLdEV0R3RNdE90Q3RA9Et0Qzorsw xqYMXfmB/Lkc0xOdtS66cHghU5+N0ng839rUfld4w8Xor6entyf2A3vI9aIKZW5kc3RyZWFtCmVu ZG9iago0OSAwIG9iago8PC9MZW5ndGggMjMgICAgICAgIC9GaWx0ZXIvRmxhdGVEZWNvZGU+Pgpz dHJlYW0KeF5jYGDgYOBVnKjQksagUpIAAA5MAsoKZW5kc3RyZWFtCmVuZG9iago1MCAwIG9iago8 PC9TdWJ0eXBlL0NJREZvbnRUeXBlMEMvTGVuZ3RoIDMwODkgICAgICAvRmlsdGVyL0ZsYXRlRGVj b2RlPj4Kc3RyZWFtCnhepVd7VBRHvu5xGHqUkWRpJ6vdbnebzWoUBcVolpjrA6JGREwQEsUHz2FA YAbmwQCKMjzmQTHMIC8ZZobhNQwPJYCJqKigMauGXd3oLokbs7kxMeolarLZrZbi3N0ec0+y5+ze c+45t/+o7vOrX1V/9Z3v91WVAPPzwwQCwbwtGyPit24Njt4Wq8xJVqwIWxYrk2uzk1W+zk3cfO4X QEJzNMYxAo6dwS0Qcs/7oUiJ8KTEb/oV1DdfpJpCol9gmKD5GV9782cQlzzPf81OlbzgC4xLfoWJ Z2ACbB5GYwuxYGxKECCYIyD/t99uSFOmyLakyRSaTE1hWMjy5S9FKnMLVZnyDA0btnz5yqW+NpyN CGGjklOzlDp1ViabrEhjo0LYbSFsjFLHRzPZF5UKNkWWkZydzirT2TjZTlarlqnUrFyl1OaqF4ew cRmZalanVGWx/Fsly5Ylq2VprFaRJlOxmgwZuzl+Rxy7SanQsNGZqTKFWsYuW8ayapmMzdBocl8J DdVo5SFKlTw0nc9Rh2b/kKQO9Y1btml7TNyy6C2RG2N2bAzRFGjYdKWKTZNpkjOz1SH/QvSPgRil Kic5G+Of+dhSbBkWioVhL2O/xtZg67AI7HVsG/YmFovFY29hKZgMy8T2Y1lYDpaHqYQ8vfwzD5vn I9oPq8IuCPwFpYL7M7YLZwmf+B3y+0Q0T+QQTfmv86/1v4/XioPFhTMXzKyd+e2sYwG70N8DDd5D +bDa1XH7T7qgYx/BlPGJVqKFU3wpvajdgceqy4plYNROw0h8DAwlDtK9GfuaEqnw6Pgohau4rd3h aD8hBweZd9vOOIeoUx/IVjCpONprWvfyWpJY/+rXqsu/HR4646KJrj3WHvl7lPtS058Y9PJ56eKI /UkJKf1n4Fy4trHfQgdO42AS6icFX0wKYTRHSD0at0qh06hyOgraPK3uLhp94fcvMX4UWp8P4ycF MLJFCN82Sq/kD6YpCrR5uS5tt73hiK2Grq62AAAsxQZya972xL200VRpNpIGm8FWN/EHiNOBL+pb dIPc/BaYORQERyfAVTAxJ5A4xDU+58U3lx0ZYbi/4ogpESnwa7XlCQzKw735ScdjKCRetBjNQcSD xXDGxMmzriZmEw4Jv0JgKtbSxPEMdYpiF5WHsHr41o3GodY+pqdlqOcsdeX4vgP1TGMRMBeSgShN 3wr3uoALvq0L6p6AZVeIy1wwDJDWGKwVZWaDwUy/nPe6JplKXtgFNzAu2I0TI60W4Hocfx/NRv4r X0DPornfLoFCGDAMMTezDc6VolJ/uKL2jrOL+lsNWpBZxQSiSeDlZnphp04ABVfv3hLCB0+CpO/I vbs3vhr/KxrN/A/FJ+hTfF8JiKIVuKXrAuimPB8Bcxvj1eER5oZ+Bt6CIi/C4Uz8q1OnTtTazRWN tLFSVaogNc0H2tqbm9vpwHxP7p2xOzC2BTJ/3H5H6bHqgh57Hnn+8ikxZ5SLhnulMGDNw+djE1XK PBqm4sRMrPi945UNFBTd+KzJarZVMMQMDBhBqZFW79htyqMIP2zLnpbaAoZ4011ebQKALAMVBxh0 Fi8EFY22qqrGevpE1+n2s9RoZ0JRLeNIq0qQkTIQq9xHE+4kuTZNlUhtiRq+WciYbTWVNsrhqT/W VdCsKswrTVt9zcea6OEDSPAEJbth/IX/dEOLO8gzcvA6jLwORvQj8hFiznpOyS2ROou7Mt5OyzpY TLflZByVUSte37w29nh6fSlDPCg5fLBQkUa+eVxVa6D3Htorf5vcdD8WPgMDHo7+saP8g+09dOfO XWAVFVMOXIWMvr7U5SYdNY76Jjr79BBooL763bWPPWUDWb3M0OBpYKOsNmC2MsSq9XqjQV9CFtcf bq512lpptBbNkBaClKJcWlGQo8+nVoLHbU5wwuFhvK7uejdFXC25AxZqGIhNz5K+sW5PaHDEyPu1 lsGBTrqptQ78nvoMisBLTOCLvBx8gvcqeMlj4zB1nLjJOXm971KB7koGRuP3QJemlx5U7KnJpFal RmUXM5XwW39i8p8KYdr9o2A6x0AX5R0D5k7Gi289DIYZGIN/f/3ilStNO2NodPjfJfoq3suJeQgQ nwy6M7nuKtEBK3gMUUbbIMP54cT7aL6v6j6sq+CrruMndZ4BXqrhEjAfY4i5O7jH0m61S63M1+bm tWo7u13tvBJ9Uz8RPV2d4CrxDqzip30K6wmGE9f//Rq6RnjRd58F5q6n/MA+79X/Gz1LZL/WlTGV 3/nYeQr4B5to//+xo2/lNukEvCV0Twi5RLhfCqWLv0NiJFm6AAWhOY+CoT+cNfkNDKLX1UkzwLa8 PfRu5d4CGZW+r3lEweQOV37wLjkALvcM0+91nWw+Tg2+W5jmYXr2guh0MpBnfsj7Ie8GyutCLuQ5 bza+0tTYz3CX8TZQpaNz1bvSX6AUeNtZ0HmBmXbictPhlXS2wt/imQR9VN9/AbOHLxo7KsqfKtYJ vhkTwk+QUVoNLEUOetHjHTAcJpHwrdNwDRTDWXR9HbBUkzUGi/FQeOTiBHrnQg2LniHDmlDAeZZG kg9uRzXworfU/NOcsICf9Di0SCf08NkdUExDyRvh4yWU0WCuMAGzo4h5tPAiCkdJJHprD1rDMzOL 1pcCs4mssJmtR2/f+GaEPvdtG8SghLfZ+oZ8GOaEdqegbxgWDgvh95CQju3vLa2j5T25NVsaxTk1 EU2/IXvcp76CgpqQbAtdVnUEVFMNwOZk/oI7gU1fVqAtLac7srNrsig0W74lrgRkDGQwvcpj5adK L5QcNXXoxM6DR7VKMkm1e+WW3QOPtLTRWWkBpNVsBCaqBBgKGTSf9y5DPe9dbgdtOwIs9mbxnoEx 4KC+P3/pFsN7KExov+e51PL17ZTboD3oxG248faB28SqEi4OJknhvJAvF4XtX6vU0x4c1sBnhsZo Qoz195fkuBjeLg/LQApDgBKtvaCzw2H3npede4mXy1wkRbmoC0q2fU4T19dDwb0H8DkmvEq6E+wr kNG7VfKiVCo656K7lCnt1I/8nrzV//CrC970TDvdnA52JfEM2nlBkl4YrQv6blzbCue3Et/ze8Kz 0ve1cXikIjltM7jnoGEfXOBFC3j/IDK0/pXL5MHLTWIdTtz8HPX4I+EfNKNX+67c8O0UX36T4IFr 2uHsu+Cuuj3o2t3N97rvnr1HiDB+neukX2+4Eeygv+i4ePMT8lb4pSWLNsRE0AS1PrWnzO5ut3f3 qpu0FWZQaaKvDdznHbNv/ODiAtMORRKTk5hpyq0UE9fdOSZRUaWxspTU24CTPuX/+cDGYPTzzRkJ u8PbfqtgCBbrNXid/SQxWuLNb1Gq84plYV9GQCFNsCwMuHP3MRMIPoJT9/mNL2jk/sefgfupnxHl /Eb2qlTrbyoqi9MfEJeWx4IcCm3z97Rd/rCzXUxMwaWQvXj+IQnx5R/zohRvfnHVzpOg2t1p7+0q cClLfwDtGjs1Tn1+/rXQ1QkbYrcyaB/KF6k5Ac4fRgY58ZDgB1MWPvXkp2cQyOFowU/mshlfve+1 9eGG06M0/PP/9EwAUxiDluDbgLx7P53XfuLwOcrRC7zHGG9b8wAgV+CB8O8gn3voPekVOKYShVO5 T56XenFzkhkkUnnxwKJmFPjlSmeWjjSYyszlNFo6rUCrOSCqrDbXVpPdo6Cd5vPVG4CCUsQASx6f P9pkKmxgjhw6kn1Ujn45HTsXvcQZRIYmX8V3nwOdvgGadUD544AxF5A1MjBh+r9FB21WYx1Va6u2 2xj4CtcM10w380GbqZaqs1p9wTe4Pzef8bacrZoX+CFfwne9w16B80mY8Mlr3EIfdFUhyKZWW3jT HTY35haQAJQZ9XQosi+C/SJDow9E1zvA7QOhTOFRr/ClDhw1H2pgbBWN+4/oViPT3GDYITIcBRYr 6RkELl+uahfIpUJ8uefqjVkNDAxCU6ISa3V5A1Vnq262MY/gwCM0IDrAY62jGqqPNFgZiMNPW6+e tDh4rL4b1LMcJVnI34OwNb47kS4o381F2qGyvtbtT0fFZYdKZgJJgHfWeICrysLbQY21yjJkl0ha PU2WGlu1xWKtsUpmc4fmPPm59B8FtzRYCmVuZHN0cmVhbQplbmRvYmoKNTIgMCBvYmoKPDwvTGVu Z3RoIDQ4MSAgICAgICAvRmlsdGVyL0ZsYXRlRGVjb2RlPj4Kc3RyZWFtCnhehVNNi6NAEL37K3oP gczBsdWoMyEI+QSZnQ+S7LJX013JNsRWWj3k3291l87AsmGFgK/fq9evysrk28fBX8r6BH78yNke 2ro3Avz1a9l4k8mmFn0FunsDkCBHtp2zD1OLA3Rsui42hVbdA4oLLa69hFH1b9EKLkp/Sew9bHqE X36xXf14efG/v+7rqtRh5O/h0l9L43PrfVTdFeb/UzI0YveMmDP6CaZVtZ6z8JFzjgdbLdd1ZZts vWDohgVjf2elpRmGwk42uxdGTCrRDcidiQqnZYsPt7aDqtDn2lssWIAtqLYzN5f7wQvejQSj9IVN 74VE0aFvmivYQIx7ec4knNEb5/RWVsACNyuJrOpud4f2VXS8NcAwMZqEFFnUEtqmFGBKfQFvgWPg OVvs8Mk90PIvnlPV6UxyFIyv0WykxO/SWKNwjUacp2FuUUQoXhLaOISHDu1IOXMojgglhDJCKaEn chm4FXEZcYPLk0OzweWZENWldN+Mbk+3DiUhIWzYIqqLKXWSUE7yTFJC5JmSMosJkTKmnOkzcdRR uiRuUFJqbNNxlCWjjjLKklBH2XADIjdpN1n7UeyGfS6B6I3BDXBr6FbDfl+l4XNTm7qxVe7nVnz8 x1n0vvP+AEk2HpAKZW5kc3RyZWFtCmVuZG9iago4IDAgb2JqCjw8L1R5cGUvT2JqU3RtL04gMzIv Rmlyc3QgMjM4L0xlbmd0aCAxNzk3ICAgICAgL0ZpbHRlci9GbGF0ZURlY29kZT4+CnN0cmVhbQp4 XsVYbU/bSBD+zq/Yb6Wqkn2zvTaqkCAhbQoJCAJXXRSdTLKkPiV2ZDu83K+/Z9YJCZAAvVY6lLAv np2dmX38zE4MEyxifsikYFIHTPpMSY/ho03EpGReZJhUzJcQ0SxQGLEgUEx5zAi1g7FRGEkWaY8p LBEB1kKZ0hHTGot8PMbYDzTTPpNBhBYbhUHIIKIE7YxWSbnjSaY09HhY4gvFPFjjQw6bK4NNPcNU GGrmYakwAlYxrRSUGqY9mOLTFpiERdooseOTG3DO95knjN75/Jnxg/YFu4knhWX8sMN4N8un8YTx xgEc472HGeaP7ssvF2VcojuMMb2//8ZKUTe+qP4261gXeIe2pbKt2lYCTpuzm5/FY8sbWVratCwQ aBztOT+3RTbPhxYTnpvo2FESH2b3fYGhH/l1ZXw/YqEn62EYmWDAG3k2gwDrQ+BRJFhKhGwAH/Nk +qoIjMlhBp0ENq2MXIVV0iTjZ9jI5mVCxrkp3oL1kGxJOlI3AbyFVQ/HHFU9AI0sQ08T8twGpGx4 Ycs+P2u2eM/el4NFoG//ur2GN0AvbbqY7MZTy3Zvk2IeT5J/bM5I5uPy8E4bXxi/LBBPRpA5up9l ecn4aZfxtgsv41eJvSMPEgxIxvUWoIHc/n71ccCBugLRxGtEFlD4HMxOG53mUqSXC+Y8ptjCe+cf 9RVez4Xd/SgI+n4QDaSQ2nUGj2dPgWvaYpgnszLLXRzJRX7UOT75fvbpJC6TtJONbJ524vJH7dyO 55MYcpN4XDDPyR8SKGpS4OWraREIvDIh3iM/EAN+UAzJaxrwRjz7apPxj5IFoea0KT1yS3i7RDiH B+l4YpngF6WdXuFoNf++WOFp6fZqJROLs6sg2mg3cXB401dQcXgmQX4xvy5pQDOCH6XDbJSkY94e YdOkfKh95YdxYZ3oG75Wlo5i7A7pog+ywu4D3ssu0wRqLbjlNQtgJi2sDHnvpk/PBSzmPP6D6HPp +kOBMLXTmwzAx7kkRZk/sN2DUXZtP/LTHGcGh9nu0uOPCMlsNrFTirrYx99OP+rrEGwbAhqqb0w4 kH5fURP2wRRs8R0oRcOBFk7GiL7neQNTTRrjVoSiWuEHgzDq+wo6NJTpQFIHM0a9A3Unre7B8eH/ irpoG+i0ewuXoNML+njyIv0M6N5w9TnokAGfgQ7p7pEhX8J+M+jeiu8TMqAsXIEOafk3gk4BXNIf aHASGg/AweXBdUFOaHw3M/CBL2r8qgGE0ASVCPEZGoIgNZUIkEhNKKvGc01USUbVnlJUolJU6t7m we5Z91u7+emk08nSTKpXCBDvBMgM+cjAHTBt9Mh+NFhnPynX2A+DjeRn1Bby01VaW5CfdsSwlsx/ lvy2OfgcgLhiPQOg51CxbevNANwazmfIqxI2kLdi+t9Ad+ChQKg6LqL/5f870HLytfln++pT0/4d X80v4rQg1LxMloLVlKCrMxjTrKVJ9NdwYlS0wgnkN+IkDB5h4nvmMUfiyrtKFMiRnnuVfwEmmz17 ARKHxvXU6LkDfAdIFCG6l31pNzvx7DFNr/LlltA+xQ3u/RVucBf5vYzlRWLgeUh1qDCQyjxwDXIg qMrTjqNUFKHkEcRT1BBP4Tl4iqTBU66pFoGgIOKkQ2TIELVIKImhdBjQFc0pIKaiR0tJx1hYjEtR H7gJUESZdwCyfXR4eXwM+jrPpnH6On/hyl1TIZVzEQo5qcyKwDDYdn3Dio3AjOQW/vJXyYSA6d70 XwDmVg+fYxM13jNsosB8HzbXrm3bA/oUiSgmF0hc0fWvM9h6xVag9szmuMtJfpyMij6yDvm3FspG jFt1Nnb1XbGoqBjquDIe4Qkq5qpWOG2s1VNUdjRdYXJwgdKDOlBjxxnulv1l3YJK5OjWVTNVHfOi UEEJAxm6664qG16VTs1sOKcrKGqm01YLOiGIume9ynF31/UZqNu0hXPsJL62k8IZ2p1PqVwSbnBB fqCScGU4NiEdJE/FDNVotpul6FzZvEiylHFZNy50O1QJ9+z3sv4tu06dydfzcW2K6gclyjitTewN Gb+Uoks1FXm7Qyqg78txDOvTemrXhXoJ6cFPFkFNRCiVUGTvabOm5TKfsN27u7v6LI/H07gWj2x9 mE3XJJaGOi11EeHDRLinJMnkFnValjbpp4fd5h6JiAhUEmij/U9CfRDiw1Iuy9nnG3tzI4SnQSRo AyuE76HFDd4PhTDoK+QmNapajX8QFRrEowPMQd6No2d9mqMvdOh4sU4i7u3mpiDWV/HouXjsOVv3 hICpOKa3vAFqR/MhkLJ7Mo9xYjVRj8I6xaOXlKgjF14GsJ5+ZQlM5VFAX3hCXgawlPrBEF94QzIU DSdHc7QOHhsPXvTyeDazI8Zb9CvQDtDyL6TGfCAKZW5kc3RyZWFtCmVuZG9iago1NiAwIG9iago8 PC9UeXBlL1hSZWYvSW5kZXhbMCA1N10vU2l6ZSA1Ny9XWzEgMiAxXS9Sb290IDU0IDAgUi9JbmZv IDU1IDAgUi9JRFs8NjRGRkM4M0IwMTgwQzhDRjI4MUI0NEMwMTc5MkE3QTI+IDw2NEZGQzgzQjAx ODBDOENGMjgxQjQ0QzAxNzkyQTdBMj5dL0xlbmd0aCAxNTIgICAgICAgL0ZpbHRlci9GbGF0ZURl Y29kZT4+CnN0cmVhbQp4XhXJOw6CUBSE4Rle4hN8o4CWhlZZh2sACxsTo4mFu7DTLdm7CFdhcE7x 5b9zD+A0DsIQcBvAE18Cgf2DV0ClOOJLIC3xxCUiu6cyl7FE0pWc8ctubSY+mNT27jC9WHvSZ74D 86ftATd7ayxDFkeweNsecXuzTmTK8gGWX9szVpk1kQXrH3iobC95/lgzWcma9xP+btsV1gplbmRz dHJlYW0KZW5kb2JqCnN0YXJ0eHJlZgozMDgyNwolJUVPRgo= --Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii > On 7 Sep 2016, at 20:25, Otared Kavian wrote: >=20 > Hi Hans, >=20 > Thank you for having fixed the issue with numbered equations in math = aligned environment, noticed and reported by Mikael Sundqvist.=20 > However the problem is solved only when the numbers are on the right: = when the numbers are on the left, there is still a discrepancy between = the location of numbers in equations numbered in an aligned environment = and those which are by themselves. > Please have a look at the attached PDF which is the result of the = following example (using ConTeXt ver: 2016.09.06 19:11 MKIV beta). > Best regards: OK >=20 > %%% begin math-align.tex > \starttext > \placeformula > \startformula > \startalign > \NC \exp(t_1)\exp(t_2)\NC =3D x_1x_2=3D\exp(\log(x_1x_2))\NR > \NC \NC =3D\exp(\log x_1+\log x_2) =3D \exp(t_1+t_2).\NR[eq:explag1] > \stopalign > \stopformula >=20 > \placeformula > \startformula > 1+1=3D2 > \stopformula >=20 > \setupformulas[location=3Dleft] > with \type{\setupformulas[location=3Dleft]} >=20 > \placeformula > \startformula > \startalign > \NC \exp(t_1)\exp(t_2)\NC =3D x_1x_2=3D\exp(\log(x_1x_2))\NR > \NC \NC =3D\exp(\log x_1+\log x_2) =3D \exp(t_1+t_2).\NR[eq:explag1] > \stopalign > \stopformula >=20 > \placeformula > \startformula > 2+3=3D5 > \stopformula > \stoptext > %%% end math-align.tex >=20 > >=20 >=20 --Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19f X19fX19fX19fX19fX19fX19fX19fX19fX18KSWYgeW91ciBxdWVzdGlvbiBpcyBvZiBpbnRlcmVz dCB0byBvdGhlcnMgYXMgd2VsbCwgcGxlYXNlIGFkZCBhbiBlbnRyeSB0byB0aGUgV2lraSEKCm1h aWxsaXN0IDogbnRnLWNvbnRleHRAbnRnLm5sIC8gaHR0cDovL3d3dy5udGcubmwvbWFpbG1hbi9s aXN0aW5mby9udGctY29udGV4dAp3ZWJwYWdlICA6IGh0dHA6Ly93d3cucHJhZ21hLWFkZS5ubCAv IGh0dHA6Ly90ZXguYWFuaGV0Lm5ldAphcmNoaXZlICA6IGh0dHA6Ly9mb3VuZHJ5LnN1cGVsZWMu ZnIvcHJvamVjdHMvY29udGV4dHJldi8Kd2lraSAgICAgOiBodHRwOi8vY29udGV4dGdhcmRlbi5u ZXQKX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19f X19fX19fX19fX19fX19fX19fX19fX19fX19fX18= --Apple-Mail=_26CDAEB4-8133-4AEC-96E7-E76C42DA39C5--