From mboxrd@z Thu Jan 1 00:00:00 1970 From: Tyler Smith Subject: Re: Can't export two figures in one document to odt Date: Thu, 07 Nov 2013 11:46:33 -0500 Message-ID: <4c4c9aa2-d67e-44d3-8f78-bfe9c1d8ecf6@email.android.com> References: Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="----PNB3Q9YM6XOXYIOZK16IZUDGWJ82GZ" Return-path: Received: from eggs.gnu.org ([2001:4830:134:3::10]:52621) by lists.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1VeSjM-0007by-3A for Emacs-orgmode@gnu.org; Thu, 07 Nov 2013 11:46:58 -0500 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.71) (envelope-from ) id 1VeSjE-0004I7-O7 for Emacs-orgmode@gnu.org; Thu, 07 Nov 2013 11:46:52 -0500 Received: from oproxy14-pub.mail.unifiedlayer.com ([67.222.51.224]:40691) by eggs.gnu.org with smtp (Exim 4.71) (envelope-from ) id 1VeSjE-0004Ho-Ak for Emacs-orgmode@gnu.org; Thu, 07 Nov 2013 11:46:44 -0500 In-Reply-To: List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: Christian Moe , "Emacs-orgmode@gnu.org" ------PNB3Q9YM6XOXYIOZK16IZUDGWJ82GZ Content-Type: multipart/alternative; boundary="----PT50DRK1G5J2K9NRW6G36BBNPFE3M1" ------PT50DRK1G5J2K9NRW6G36BBNPFE3M1 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable This happens even with emacs -q=2E I've attached the odt file=2E Christia= n Moe wrote: > >Hi, > >I cannot reproduce this bu= g=2E I copy-pasted the below code, exported >from >Org 8=2E2=2E1 and opened= the expected two-figure document in LibreOffice >4=2E0=2E4=2E2=2E > >Does= this happen with emacs -Q ? > >What do you see if you open up the content= =2Exml of the =2Eodt document? > >Yours, >Christian Moe > > >Tyler Smith wr= ites: > >> Hi, >> >> I'm new to org-babel, and having trouble with exportin= g to =2Eodt=2E The >> following file works=2E I can export to =2Eodt no pro= blem, the figure >> shows up as expected: >> >> +----------- >> #+PROPERTY:= header-args:R :session rTest >> >> #+BEGIN_SRC R :results graphics :file = test1=2Ejpg :exports both >> >> plot(1:10) >> >> #+END_SRC >> >> #+RESULT= S: >> [[file:test1=2Ejpg]] >> +----------- >> >> But if I add a second figu= re, and try to export to =2Eodt, I get a >> "Read-Error=2E Error reading fi= le=2E" error from LibreOffice=2E I can >export >> to pdf no problem=2E Here= 's the problem file: >> >> +----------- >> #+PROPERTY: header-args:R :sess= ion rTest >> >> #+BEGIN_SRC R :results graphics :file test1=2Ejpg :exports = both >> >> plot(1:10) >> >> #+END_SRC >> >> #+RESULTS: >> [[file:test1=2E= jpg]] >> >> #+BEGIN_SRC R :results graphics :file test2=2Ejpg :exports both= >> >> plot(10:1) >> >> #+END_SRC >> >> #+RESULTS: >> [[file:test2=2Ejpg]] = >> >> +------------------ >> >> Thanks, >> >> Tyler >> >> Emacs 24=2E3=2E50= =2E1 >> Org-mode 8=2E2=2E1 >> Debian Linux >> LibreOffice 4=2E1=2E3=2E2 ------PT50DRK1G5J2K9NRW6G36BBNPFE3M1 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable This happens even with emacs -q=2E I've attach= ed the odt file=2E

Christian Moe <mai= l@christianmoe=2Ecom> wrote:

Hi,

I cannot reprod=
uce this bug=2E I copy-pasted the below code, exported from
Org 8=2E2=
=2E1 and opened the expected two-figure document in LibreOffice
4=2E0=2E4=2E2=2E

Does this happen=
 with emacs -Q ?

What do you see if you open up the content=2Exm=
l of the =2Eodt document?

Yours,
Christian Moe

<=
br />Tyler Smith writes:

Hi,

I'm new to org-babel, and having trouble with expo=
rting to =2Eodt=2E The
following file works=2E I can export to =2Eodt =
no problem, the figure
shows up as expected:

+-----------#+PROPERTY: header-args:R  :session rTest

#+BEGIN_SRC R :res=
ults graphics :file test1=2Ejpg :exports both

plot(1:10)
#+END_SRC

#+RESULTS:
[[file:test1=2Ejpg]]
+-------=
----

But if I add a second figure, and try to export to =2Eodt, =
I get a
"Read-Error=2E Error reading file=2E" error from LibreOffice=
=2E I can export
to pdf no problem=2E Here's the problem file:
+-----------
#+PROPERTY: header-args:R  :session rTest

=
#+BEGIN_SRC R :results graphics :file test1=2Ejpg :exports both

=
plot(1:10)

#+END_SRC

#+RESULTS:
[[file:test1=2Ej=
pg]]

#+BEGIN_SRC R :results graphics :file test2=2Ejpg :exports =
both

plot(10:1)

#+END_SRC

#+RESULTS:
=
[[file:test2=2Ejpg]]

+------------------

Thanks,

Tyler

Emacs 24=2E3=2E5=
0=2E1
Org-mode 8=2E2=2E1
Debian Linux
LibreOffice 4=2E1=2E3=2E2

------PT50DRK1G5J2K9NRW6G36BBNPFE3M1-- ------PNB3Q9YM6XOXYIOZK16IZUDGWJ82GZ Content-Transfer-Encoding: base64 Content-Type: application/vnd.oasis.opendocument.text; name="/sdcard/test.odt" Content-Disposition: attachment; filename="/sdcard/test.odt"; size=0 UEsDBAoAAAAAABFdZ0NexjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz aXMub3BlbmRvY3VtZW50LnRleHRQSwMEFAAAAAgAEV1nQ7EPzWHeCQAAk2MAAAsAHABjb250ZW50 LnhtbFVUCQADgsJ7UoLCe1J1eAsAAQToAwAABOgDAADtXetzo8gR/3z+KwippJJUECDJDym2rta7 3junbCe11lXl29UIRtLcAsMNg2Xnr8+8QIBA4NVzFbS1XjPd09P9656eF5q9/vHV97QXSCKEgxvd 7li6BgMHuyiY3ei/jD8bV/qPo7PrPxiG9gyhBqljYjIzv9x9+PR4p00x0RwcvhE0m1MNBezZB5SJ 0gyD1cLTKXLg0MVO7MOAGg4OKPv3TGMf1m4QDSXHjR6TYIhBhKJhAHwYDakzxCEMkprDLPeQa5mR EdE3r7EIwVyUQOErbSqA867UB5PmGgjmogSXgEVTAZyXuacoYoqbCniNPGOKmTf8kDmrRJtXDwVf b/Q5peHQNBeLRWfR63C324PBwBTUnPJOyhvGxBOcrmNCD/JGI9Pu2GaW34cUNNWV8xbVC2J/Aklj uAAFpV6PXmaNo+ZltgYuZw5I4/gRzKvu77nN3d9zi/VZp5tX+OvKfGRE8ePxIR8vxG/aJuddgc8h KGxstuQuysAYp2rzSrKDC9W7ltU35XOhxmJtlQVBFJJCFWdtFQd4Ts4b2C8Dk/HaJuMw4AsP61yH 4QBFFZW6piTnKkRuZRP/eXx4dubQB/kKqL6CgYKIgiCPGOFOqrT+3CQwxITmAJs2T8jMo92cntil 1ZmDEXMhiKCXxH2qmWoQvoaQIN4W8LgLDT9i5jHX4nCYqS0iiktUlTNDWVcfsbbE0CWjLxKjEitS vKrUHJ0lfFM2QGlT4EDNhY4HiBjLitU4k8GZDM4UjYRB1zLFpDRNPnNbbvQxmGMf2LrG8kjC4iPv LaHoZgMhDo4JYpG9KkRR/q75OMBRyCo2EviBIOBpvwSIDfdQe3wukfxnEOLoH0VGWaprGeEhog7L QC+AsbIM2aj9n3/SHlHgzLH2IKYP/6xUYIVzSxqM55gELmDcJZ7J0LIiONWYwYAFJ8sqhHkv2FwP FueR9gQX2hclrxyHAl8JCrvR74M3AcFbiVopoVqDaIGiaGMNnpH/HJcBkxLWaPAWUehv7iTZVSv7 8DZUuDarckySoUBMMZ9iO1JWMTelZEOSlV1y+u6ImXmuXmqz+Jmz919kdh+4LP9CV1U1HtjI5xl2 aocCIJJkXQpcilS1QpayIaGINSomzy63bQI8PlAZvIRNrbzYD9j4OQVexDrcFLMZDZmhwPDglIpc fmU7fpYgVhw3uuWkqEIXqXm4lDI6+0EposTz2vJX1mAccLl6pmwGQinPTO0wqwxR0JkZ7L4Vze4B 0BxY5yeKZm/vaHY75/0TBbO/dzB7HfvyVEPz/ABonmzWvNg7mP1Ov3+qoXm5dzTPO9bViYJ5dQAw L+1TDc3B3tG86PROFUzbOgCag6vjh3O5ShpzPd6zRhIVirAKa4qgisIspLKYMMcskMs3cAcXf8oC RbEyK1M2wZTy7Umr0xUUeZoAPDQLbnSH+5ykq9kyG+ss+SgQLbVH+brcLOWJUusUTRlp/+2bFZx4 H6HnVSjHKeWqMcqqYi/8yQGeobBjYAucQ+DKwy+rY58PFPgTTFxIpEMCHMBsYeKRYrmM/2KpCn5R XA5DQxQe1sCgKCEg/NRNPBgrKDbCavuAWB3L6jq+FmEPudofLfHZCUJfvlOEKkKmHLjNYuh7hahp EO0As/HRQFYLwoEy0/h4UtOGEO0vV42PpyfuJqx20ROPKH3tKdB2gOLt0WBYNQTUgrPjfHZ7PPls Q4j2l89uj6dr7iasdtETjyif7SnQdjEqHE9CazwoHDrDjY8oxW0btD3O4Y4o6e0p9HbSf48oDR4q GN+D63Lv8vbup/unYX4Lk7+hLd+Xha4Gf49zb7Std8id4t7S5qZtWTvc3WxqzKE3Oev0/IxIRBNl xYNUVuq9s91PH7muB7+PDdAEnQfQglMJTjF0/g0ImBEQzosQhUVCSWoVEn7tWr9+lF/giIpopkIK CVYcEeW7r2rltziiaPpmRAxN1s6C2Z+c/mw1Kg5vNwzczYzmqf3u6VPzxL4yInxk7WJf1R9DP/QA hfVjgKy2pfR/xbP/tk6rpGYHP6taHhimYaY9S/c0BPdIYjSigNDmUbrEk8vIi2UAYnKjp3ObDCOO qYeC9JQ3S+LlBp0THM/m0rwkOSpE+MFzxcvSrFFBjtB/GdnuhjRTlogiPvD01OxoDlz+PZJsE4IQ BywNC2VySiTiFjBJ0FJeRjneugEiBIJEhyxROExRSypLuWsYhHT+DSQPvlbKT+nVLVSwSPe8lJle xqB8LASL3zfoxDxff8GLtiO0HaHtCEc1cWn7QtsXDtQXxOrlpEeFqfi0PaHtCQ16wqkPC21naDtD cUXNt/O+ZTG9+zdEJ8D5OmPRF7hGMYDzO4TW4DK/Q7iNQ4AtH1EsX7XOmIV8MIMr71KXYrWdIf4g TuP2X1mt0965RjmozxzxaX22wQziIH7ru/xP67dv3w9ou9uxuC09j6k+VjnTllc5rF7JwKmKOMHu m2pKlfDZU6qh+NJVBH+PYbC8CuKHkmL19SwUMR3ekskz88sL9BhCuiTL6Lr3PKa3vNqGz8U2FDdO bq/YVA77dQtiPsnL0bYgKX39YXNRn9EsJtsA6QGx5Za0Lonh0hBZBk8oq2dXgfxFGUT5GZ5kofxh FHqY/sUe2tZflUxZrB7CUb04cy3Pczyh2VZRgChiScghEFBMRmPGTbRnH9G5arPI0UiVtJn3aePy niv7Or8vLrdqfro8V07gXMYL8GJW2rXsnmHbhnU5tu1h3xr2+oZ1PuSpx7rUnvCLxjmUzrziu/U/ y7hR5ig8Ta5QXK3Lv+nZVXqyNEbZI2RrcUpiuNpfNTzVkj0AOxk7ylsyIhwTB0oRheDs6flMhdiK +NUQ+hs0yYcrmiYN842InyHgo4o+WlErDYJVkQqZSo3ZX/JWUKCgua2v1ysFJW+alMzvPzTENsiq kHt+ph1AyoWIexLNNYKcOQgZ+zoWXrCOLnSBgVvMCDWgbAHCbg2E3RbCOgh7NRD2WgjrIOzXQNhv IayD8LwGwvMWwjoIL2ogvGghrIPwsgbCyxbCOgivaiC8aiGsg3BQA+GghbB2am3Vza2t/xMQq7jl iirlyjS73A4qWVKVr/nsmtWdWGIVAS9Ze75rVRYWAMloWTC+aFcFJqwW/6xdGRPn1sPOV74v+sDi TV/dsghH62SMWQG3jivDALnm9+gPp4TRNPFrob1PckPmnu8Z6uLW1+Sl4IvOoCcuL2Jlc3XKmxaK ZgG/rJgY9C2E2ZP5kWxTbENq4hr94ZzAKQtsXhKZlmXZnd/Cma6Isn6E+DlsUhbN+WE09CfQTYqA Q2MWdjc6Dh4wc7Y5ujaXxjFMsvB8G8jW0D4hkLs7Bznd/eVlo8yz7AnL5+L/jTE6+x9QSwMEFAAA AAgAEV1nQ4mcahksFwAAdAIBAAoAHABzdHlsZXMueG1sVVQJAAOCwntSgsJ7UnV4CwABBOgDAAAE 6AMAAO1d65LbuHL+v0/BaOukkqpQInXXxLOn1mt71xXfsuOT8/MUREISY4pUgZQ12l95ljxaniS4 kiAFUryK0qzsKo+HuLDRX3cDaDTRr/76vHW17xAFju899sy+0dOgZ/m2460fe3/7+k6f9/760w+v /knXtScINRhaAx+tB7+//fnNx7faykea5e+OyFlvQs3x8O9bEOKuNF3HrfzVyrHgg+1b+y30Qj0I jy4MNPxKL3hghY+9PfIefBA4wYMHtjB4CK0Hfwc90ehBrv1ACWRPaGdFm9PKcusQPodFG5O6ibZg WfzNtLLc2kbgULQxqYuRkJuv/KKNnwNXX/m65W93GJMUFc+u43177G3CcPcwGBwOh/5h1CfImovF YkBLI4KtqN5uj1xay7YG0IXkZcHA7JsDUXcLQ1CUPlJXJsnbb5cQFWYNCMEJqsH3dWGJ+L7OYI21 AaiwbNDKSXhHdnF4R7bcFuvOJgOT+eAjLqT/fPwQywLaFn0XqZtglYWcXeFhstpye9/3I1JJA6ag lNyhYYwH7Hep9iG3+gE5IURSdSu3ugVcK+K4v1UxDdczB7iGDr8TMRW1ERl0Zs+TAYI7H4URIavi BgpzZxip1ybcutnqRUpF1TWybWVVTM5ogFUNC7r+3YGHH3sat4KSvR72fvpBE4Z25WMjuwIW1G1o uQEu0V4xHYlKNPY7Gclj7zMextNxu/QxMVgfRK2t4x4ThYOzPX0FG38LTEU3rKRAF7/4e+RApH2C B0U3/wx2fvDvUh32oKcluiR19TX0IHKw/Gx9GyIvUWXnhBZWsZXzDO0CNH16crZPe09BT1zS5vu/ OljgyGi13zETVXQwNqTqFeAN4v2dkPYdIIdMWQWo+xnXVEmOeJ799uDgBEHNt2dCUwCZ4BiEcFuT AC7ZmSLfAAGvBpmaLXSerakkYm24AnuXL7bECzhlawR2G8ciNiOqz5/pO4StGgodLEhk2fEQbIDt H3T8mgCG+vNjz+iPLEyyovCYKgzxnKjjJQTUgx2w8AJG3/jI+QOPAbik6nCeW/k7IcM6rYptbtFe T6oq+uSscfE4Dk640dmScAXcgKMvOLQDCFAuyTxiRaSNDvahT96DZcKxoc+qAne3iWSAkrJEEOAl VxBiCQhFCZn3CH3EVjz2XKSHy4RUOJ4NyWRDls/ygAShlE5BKF5rYtj9XcDJH2TTL4+PDuJkaPsA Yr54BGZKieW7Pl6dhWiPZ/WVz8gLnD8w2eZwF9JnLvDWe7DGj6BHH1j+3gsRlo9fX0e8gCGe6fVv 2DTScbAOpSGTPnU83wJP9Mwb8s5F2R8bUcLfIgp++XTaH1nqufA5o8eodOOk+4yK3n/iNmGg0LOC +hch0TsrX5h5m+NuAz26n9JdYOPJRKdUPfY8HwvD1okGUlAMd3vPCveswwMuxuPFHMAonJdTIVq6 7WCN9chL8OJjYsaKlJTkHWZrUosqSJkEYsZ82KYcklcKkVLMKU2LKX1dJG2KOaQ5OZaFCwpLkpY4 BLfA8XSywRFiNzyptNsHm1SV2kpCd8wJBaFPZNlhm+qlj4hOEIHDdh1Ljgt2AZHmZkjQkX9QkIGf pvT0G4Q7PfTXMNyQ/SvRw1wSSAlxqHzeh0ThNLbxxYRTrwkupA4Hn5Um6OPLdrTmTTl5ifou3u+4 vBUtoA+wwAiJwK/Tgz1ePWBh6GvyU+a+IVUT04qLVZ53K2NA+5aK/MChMgHw3EvtkJjUwBIXA9dZ e2S/xPtWdJ6qyN9AH64wuP4B2vrySKxfuKFGC/OeWhWHzo+PPd3oz6ZDYpJwyRYgbNpw16uQTPqs YMAHNsgZGZ87s5haguXDMixnLbF53bngyLoMSBc3CoXZN8ypCgpRcFkoRvWhGN0uFMOZGgn6/LJA jFUsv13OToZjNWtZwWV5O3lZvJ3N5mresoLL8nb6kng77Bsj5TwpCi7L29nL4u1wrpz4RMFleTt/ WbydKM0tf35Zzi5eFmdniwzWsoLL8tY0XhJzR31jrJzKREFDzE2VSttN1u/pVvIpxGwByO6lNsCx o0q4EVwQ4DUw6T/hGj/t8jcIbMmllNkjfhDFBOhqajzCRbnCV/zgH0PjH0vfPqooK+JV4wCE/o5s C8fDURKYpR+G5EDR6A9NMUXSDT71EXvURwzcAzgGRdxbku+Kn4qkPFbj2ItT2umkbFvCg0TaJ/wU aRfJKbgqAMQ+Ka6hycV1BKAWtvm4lhz4B6ySVUaUI7FEy3slRCgNrVl2DL+AHbGEDQKDCUaggtbF qpWlddSQMccYPfcIIjclN/DYvomAESNfEzN8xOwZafHYc0Js3q1C7t24mShVNFbDVcyZK70gKuev KIn3ezz/PDeItkP7O4t2g9A1rQF8biIKaarNF6+hmVX4lpr6Ck1fwjecmNIlb22WCTwj5ebkL7GU HyCJz3vsLX3XzhZy2kQqZK1EsbptLMEZraMKtH11uIb5cA07hmtYE65xjlEqh2J6UXDOVJVDWd17 2k61KAejfDkYdSwHoybloBrg9QBtGK5xPlzjjuEa14NrLhvZOlo7TxnPRpVW3fkFdXaSLwSTjoVg 0qAQVEK7FpoNYzXNx2raMVbTeljNSmM1q4NVRuOmsJrlYzXrGKvZHasYq3k+VvOOsZrfsYqxWuRj tegYq8UdK2kbb+SDFZd3tZE37nBJcPVDJ3ThGcySlSoAxxw8RfySLHKWnO089izcG/kGibX4730Q OqujTiIKcf8HH9mJ6PASTvOao8kUw6f9MsEpLmHWBuzIQNodf8Ed7bz8jnZea0eb0bqWBH9G68og soZNnV5Eh4WFuD+scMSTFqq27eY1Cm2eOy5Lass63ip51srLbR04o7YdSa9R74CS/GRn8Or5Jjqq 1JK1GjrfK3tqKSKVx4tFkn2IGU3B1ERsgRF/gEHizvVEYaXZipx0khG9z+EcqaO9vx6mTfqGYRZn mj7uT87zLRFsEn1alQwTEY/FWHmwiSzqEeuTXZz7OKs4YO8cxBAjy85zMk8ra/Szg2sS+hICL/Sj UaH/jX0HdY57vNo1sa6M2Bfk3a0I/hNw9yFoOKShGAoVzrhLxGngKZBcWUDkJLWiSoqjqKjViLlK NS131F9Hj8/LYYtBINPyu5JprV1JRutauxJZTjLCGSIJqRTPkAgguSbJqGWhzFn8gvC4w+Ok1IhH LlYILG981W/jpSu0U2UhjQLsX8rOyThnxEFEOFcKhGgS58aXr/WwnvYnhnnDeGfEO0R4Vwp4aBTv xWJ+VXgbxvCG8c4ImIjwrhQx0SDeJtbva8J7gvV7dMN4Z8RGRHhXCo5oFO/FYnZVeBvG+Ibxzoiv iPCuFGDRIN5DrN/TK8J7jPX7lvHOiNGI8K4UpNEo3ovF5KrwNozJDeOdEecR4V0p0KNBvEdYv8dX hPcI6/f0hvHOiBWJ8K4ULNIo3ovF6KrwNoxb3n9nxZvEjpZKAScNIj7GGn5NiA+xhs9vDPH/3PvM sRxUATPDs0wvfW3Iv596mv/BY+yRafno8AuC7FNtDCBRFnLYoVYXuaYmV+uAz7VOrDnV8We+iWts U15nI+djX9WFsgn/s7Jx5D9O3p6b6iJ2Q1c4Uf+M1v8FUVApgEApEEWgWQLr2xr5e88WNwL+aBnk L+XpDtjsgnqjb4yFbLPb4OgzE9sbLfBdx9Z+NOgfQSO7t5R8q++l7Jr0RmcL1rDYFZopNp7h4zty 7e/fHTvcvHZ969udo01z9AMIwg/kXrwKnFXg05QR6Q/NjC/OzwXvIKuJcYluuh/QL4lorcoH5+0G iZWLCySXQorVX+2B5V+tIV5X47g3i+LTD/pb4W+lI91zZ7qZ57dnjmgLn8GWwOQDXrTVwUVAWxoC V3px8wLOyfpdXrZfdHiJDUNr46tunmoPsJaJKmOj6kpoZDmuTEQFXbVltPoAWxZSQVh9Ka0+xNa+ kUjF7crGOitqN2HQa8bg5YeqF4ksSsxCJUf/zvdDzw+rBWk3dDVPpfiNoiGFLYZypffFuZvm+tvh d856jyoBJa5fyl/jvXddrFSIep9EGPbz2UhAuRUNzH6+xwT+KWMCqXmvI51VrcglJgny2UFFka47 vDZFepV5w6Da817JkZLD1t+iNDrEzsh+hlT0e1RPq+qMqHPDY6N+3eS0xTNJUONxIP4fqSKNJ9Pw z9GE/TTE3XWx0yzhMONCQh1i0lMuJenHlMr0Q+ntI0ymZvt7rNbaj3OD/C1rBIUe+pQBzKdX+pu4 tLGS7aCyLDJj0/KT7NvtbkMy7qVFrPi306RU/dkdFbacz/Joec3v7v6GFRy5Ch05OwDp6V50IkZD /a89dRUqtTz3iLoG9/rSQdL/99RuYWwRvYCpbulPR0PkfIPhBve33tQZOiWY95McfVmK/D2yYP5Z FKujPIUqSHPO8U8+f8scBmWf95T9bMBRfzRzK8r19hmQ9n8KrIjL3LfVY82ZZZNSP4hTDr1+++v7 Tw8a7lb7eQ3xVKw9kXaByDyUQ8dX3/ariIw4bVqt6LFReQa88SvYUenFBp4yK734KzhZahZ5r+Kk DS8U5nBa6daBLQxCLO91GLCE5G+dt/8HPJJlex0iJqsFBJVQEET8HS/1dqd+rxCevZKcYonWUG3f WVuiHW8/vcnSjbzuXyv8UIWNaR230SeROIyoOsvVG6jnuKimlqpWgovCSRW/TP0uUU9LVqr4JuBZ Gx+deVOyUpUVRxywFOxxsTaZ/6XSZQu4LcuVfQ3ELJslZVmFkPfEFeBB8YH6NzWSopYmV6lm7A26 Q1rJSSD/eH5OZoH0pCnlQmttVu8kOeRzHPWXzA4pk3ia31HRLiqjLUui9CtLAnxiFgomDKa7TqaE Ogvwk50B39cPz8ITgv9/THhFWB5SebQiVS+RPQy+vzspQORirRN3Q5wNmLVMeqGk0lTzsg5ghH9c kk+nLvph1mUXpyXiwv30cymUwzDTaBCiXBdGppt7Gg50Arb1iObgNBMtqYNF0QvxEjRySlTDlXYj rbwr4ht3k4xzMienYU7U1ZMMc8o6biXrBbzyxyqnvSfRTQEG/vwi+g2zerRFlgxlr+sjLa0lZles dme49wVzrQPWraFKo7IVStKnJFO3jm27pwznjImHVZalnMBC+1epUlxqHclhmBFd/ZcI6uPPtg5C pM/IV2m5DuYEglb4L9hO/ZuW+OdfeSJ2d791PJYvmnRPnxGFRCAIpUcI2tJvawShJ/2+dPdy+zXY boEgmPeIh6s7HmZpQBcr3PDQQhp8qPskb3p4VDRj6aAC4ZkuEcN4Kj85xoKfQEA7shfnzUXUpmWp ZwVYmsTahjEp146UOxQpGGstKNl7wv1HVlEIMgyKGq8V8rd6/QmGdiMHrZSdY1ITjExwQsMqmEIq EFw8clck2cLBmtWZStoUge4nqPNY1pnCbhi7gnPfOQRvYDaspM1tTSDvPbK3jKaP87MHa3DxBRMI dGsDUEm1XYIAyidmTS8rYw5q73y03bugAAd5zdzdXkXe1NvgldUn+cCg9tRDuXiGNTmmizeswbxL Mex6mVMNf7ro9fHLyH90EOzw2p2kGqswTr6RrTxQSbnaGWtzS7oGucaH3Njcn8O10guu7hjcxjor 2jldQkJf/laonq+t6MqptKpJk/pXEHwrvigitWsEyKaiCasHj/NXxzEJNEuweXL5uEe++ZSyB9c5 NUwwoc39R9uO/zaEVnF4v8J/rIgZmTuGk/2CysM8nO7CZr+jLbyF4JGBAQcyIRKJg+SMq0TjI2SR WSPuUcpDzuMOk9ncuStJlqC8s2uS8z3Yr1bOM7nzQXooEsGb150JnjQJwbInkSCCd6UD1cyLGXTF RxjJrzPK5ovPAKkkjMM7jAoYzXIQmp3BN7rDp4KvvBaanWrh+A6jAsZhOQiHncE3ucOngq+8Fg47 1cLpHUYFjKNyEI46g292h08FX39SEkDaoBsI53cIFRCOpUxIBUEUTbqBcXGHUQljSU0cd6iJpnHH UIHhpLwqTppXRblG7BvMcwaJBHAZfiCa+y3fBbTcuy4MkzJSWERoNdYDPe577P3f//zvS5AHjHqW NGT4espIQmEP8+cd9PiXGYNcGWIYlMS5uI/oBeM8z9Z7NdLzclp/JVgXdyi9WKzNvpm9b1X7jsxy u9Yrwbq41+kFYz0th/T0BnEu7p56sThnuhJrOxKvBOPivquXi3F/XG6OFg1uDevijq4XjPWs3Bwt Gtwa1sU9Yi8W61G/lPVm1W8N5+IusxeMc6m12Ogm12Il/GovFuhcf3Yj3uw2wVY430TYIsMR2hr1 p/G4xTy33Ge0Fm1IkwoxWI07X5l8LElGCvJ9Zn86ol5rWrYliFDU+SeFojifd1UDk1oem9kfzjoZ 2ugCQ1sY3cA2bn1sw/5k3MnQJq0PbdQ3Z93ANr3A2OZmJ0ObtT60cX887ga2eetjm/RZoreLD21x gaHNzG5gi/MJtja4ab/JeTtnzfOaLozKrXlEm7NrnoKHjqy/84fS9VbUNVZG5y6MEx9pPIUApW5Y o9dNYVoDiKXhWQ8uesrXBWPLLMtuga+qE7Vu+FpiTXgLjFUdX3XB2DIL0lvgq+q4qAu+lloN3wJj VWc03TC2+FL8FviqOg/pgq+l9gG3wFjV4UMXjC2zCbkFvqqc/d3wtcQO6BYYq/Sud8HZMtuvzhib s6t7A9k1wyT1VImNndSstj9b7IBr7s/adk3XJJPvdtr2Mtemku0d2nYY1ySTr8Tb9v3WpFKsa9t2 49Ymc262Q+WsQSrFmqtt52pNMvkKpm0/aW0q2XqgdZdnTTr57FrTe3lmLhMJ1uMDWnGJR80JreWz 2HSx7ZBrcOllvX0zee7OU/tBz77YNNnuYe3VjF05+bZ8mns1g1dO6e0e917N2JULhZbPg69m8Mrl R7sHxlczduWipuUT5asZvHKp1O6R89WMXbkAa/lM+moGr17WtXto3e7g8xaLJC9VQK6WW5GE4Swx d1Sg85S2qyjvOy2yeGZG8aLMtFvJ2uSWwcwmydRYSc4L/xdAof4dsCQL/KGgLJBiMdnV2lIbT8Si 6qQ/27f22zhraHEuYJYzJpzS6KhplN5ALjKM6VC9KTNNrr9aUWdYKhmwike8k5gX7IpTWuZ4FoJb GpQ6oZT9QN1iJI/cb+HWJY43Z3VMJFrMu5tR7CWq3Ev5BUFGeQjtKP0jE+aojTJlcsa1h6tV+k5D Yyw+pYgvNZyYTV9qmJXTOsf9KScAy0rb82qAIXcs/oD0+Io/ILm8MNscS4+KskH6+MWsAg7RSog6 SqZOdBfbwKO/D5Nj2W3NmGZcZx/QlGks2wu0U+RGnaQIpiXc9g5NKWabFmz4baXDRX+WqWf8FViN Q91HDh414GbHRyECTnhyea741CN1eW7qcfyd3umVvMOYmgNySG55Ee2O9HAZu86ZLdS34DkaC7nJ NCHRUa0A7kSfYjIyzHn8JjEH8amM1Jemo1QdsMLgK6vI2erkW1SBTWSE2SP5ImYpu8twEmX6UamN pIYqvGWJ2EBA8pXTXxLJxFdU2OMbJ9IteHnqEmWMTMTf6AuPymkqElbdPmKBJ/pN8gARW5bIgD5Q U61gRDGdGt715hb0JpHl8foUZ1BLBkdXYNedu3y+YPmsZtibMestGe6xSmkoOX8Ci140a1JtnVKv /u8ad19KnWrk5Aqmsfsy665Ut6NUkZtD4dUQDo8tCKKeZG8Hf046TCjik0iPqp2yXvIknLKYM5d6 ynanAXfEl/ITLyVdyn7jALrQCiktjz1rj+gU9BN3ukq1o0cKXslcksZWYMSf0fqrE7rwi5Q+Tznq +OwaPp+mEEK+F34kDjlEOxoUe3O6Wd77Rxfg+qA1Hr9zUBCeHeM4j8e09S3z4OzwJ9c7vMjYpCxK 9FwcC0Ql/w9QSwMECgAAAAAAEV1nQwAAAAAAAAAAAAAAAAcAHABJbWFnZXMvVVQJAAOCwntSgsJ7 UnV4CwABBOgDAAAE6AMAAFBLAwQUAAAACAARXWdDLooE3y4RAAA9JQAADwAcAEltYWdlcy8wMDAy LmpwZ1VUCQADgsJ7UoLCe1J1eAsAAQToAwAABOgDAADsWHk8lGvfv8eMZbJl30ZkZI0YuwjZlexk a7GGbCFUGhQxIUOIEHKiMLYxtlKSbEljX7LHyFLIHjPPdD7vc86Tc97nPc85nd7zfD7nms/3r/t3 39f1vX7b9zekftIYsNdAR18HAIEAAET+AaQhQBOgoaKipqKkoaamhkJp9tCx0tPR0tJxMbMwsvJy 8+3j5YbB+AUlhfkFDsJhMBEF0YNS0rKysnzCSqqKCBVJGVnEl4+AoFAoHS0dJz09J2I/bD/iP16k ZwATDWgMNAYGCQAUTCAwE4j0AuAjn5MS9OMC/meBKMAQSipqGugeWrJBxV6AAgQGU0DAlJQQCPlp CPk5AGGiZN4vrUHFYnKWWsCXFRGGzqaBHy2tZzPFLwrKOFwIh+5h5+Dk4j4gJCwiKiYrJ6+gqKSs qaWto6unb2BmbmFpddLaxtHJ2cX1nJu7n3/AxcCg4EvXrkdE3oiKRiUk3k5KTrmTmpZzP/eHB3n5 Dx+VlWMrcJVV1TXPG140vmxqbmnt7Oru6e3rHxgcn5h8NzVNmHk/u7T8aWV1bX1jc+sLLxAABv1z /SovJjIvCggEDKH+wgtEEfjFgAlCuV+ailnDhPqsL4sAIoyG9Sg6u7QeCpcxXWRzuIDfwy4oO35g 6Qu1H5n9NmLhv4vZT8R+5jUI0IFBZOeBmQA1YH1LJCd0z9/4ziiE8pjX9XkXFVUcwIYPCDy/GXCh MUwwwagC8MafHB2oGd2h49sUujepu+ZVSQI0qYn6eRtvqNrZYnfuFpGAN/UkIMGNKIt0mUOuSCHf pSFjgfN/v/f3e9/lPetLlO09rzP2P05ySRNPHUeInX/LrGPsu0JRIQLkoH4CuENytaD+4ahQwQTv aZ0EpWGJhcKVigSFKD50AxYRHHFDGHIm/YxDzSi9vTtHGv3jrfTzKQftnCekZbIcmFIZRazVD1xm iRM/Ynuaq61gpNAGl+SZF/5g4N4JN/uw1xaliGVFAmy68jz8Maqdxbg6cvqd65WS5w6WhBhRl6Z9 0xElqo3VT8vLnW0LqvgPIiBllB3THsK6tbjaJXbsWh/T8Sx1Wp3xG8PeBgPJg9BmGU3Ydf+RrMlP GA91lOIVv4nbKDntIdfnMYyrnuq8bKvzyiG3K/2Slyfs4u8LbgGHE3yA9Ue9ypWDHzI7L4vfFU/S EIm7cOMSS0x4TMO1eq7m5nmNAiuczyy76aAdhUPSRVwv/y0f3aPK1yzO+6NdAw5096VYVUqGS0u8 fPUInJElkA9bPoEIahkzpoplNVGn/JPASYSRgFviTz/T2CNnCEWopkXCdrA9Ceg/OkcCdFXPG4O0 Wb+G3cubJAA+ikIOl5MAvKe9qh/3oe1bV0VJwMUOEqBdAfivmGgDrH8iHDf8iCoYEjC/P4AE3M/E ifM13FuaCiQBZ2mLd2Crpb8kuuuI/quvzj1dVt3I2xlS22HvBnXhtVkBkx9h0mu6bMi+epCWFhdx 3fYk1XDci0XGbFV64FRO9ZM9e2sKnkTUZXvmbUKOp9SdGZUfx+bHJ8YreJ1tcA5WnMzNokCJfFPQ IRmQTUmjO9cln6749TbuZv5Vdv0IjKM2CUB/bFT7MEACZnCYzOpYDqLuU1YSUOtKAnIGQ5Uv/cmd THpbiQTss0Ku7a0hx0eHLdut8Y6N5VoSUBLRR4y71L+L49QPS+0Pu3O75rEZplszKtHc9cxibVMZ ZWyBAXbiexn03sW44FZiTeldDePWhp20HJrxrbWnFCzFWhu6peCL2e4YnnOndpEuKlhwPN7Fy0wC TMuxrlwmKnNcZxcS2/1GuOqw3SoeE6nzmKzq6zfVBSPV5zJi3xpT2++O8R9h9fTxzRNdH7xdh6ds X3TW4RMjuBR5O9hOtFlUpRjb8syB3VTisUsOJvzOptlh8PsUc+iuTCgB4L79/xHmsOGmMKxb8dTT qFGb4dry6KJi56MRdUR8rXukSgk4AaQSZqvsctcj123J2jpbz/G1grSLYMIxdpUEfcHE7rRKbVpD 8CvxO3jku8tLRp9xyC2Jgrxdt5rFkPkrAUqDkRivxSUPTsglcMU3CSjomEppbItlxMV6n/XxglTK tJe3WUu6uO0R0hiU6RKky8wDC45Zxv4z2/4wQLuCq/DrfPnFnbL9a+L3dPVJ55CA5vWJe+vnScCK rTG10a9GwrcDldoNtcnWj8TnHKe3lOYcSnflyi85Wn19QiujXeVXnVf131V485791VWdh86UpbTW JFDrOb2WVzJlJfRPFOHVYS+j8+7IRRGweKdOz+SeySpdp52ViPiHm5wfxMBTHWoKV9LJlfzv5vLr WdeUrLg0rYy55KWYLYTSvI7m3BIHqzN+0Thob84R+1M7N491OiSPf8irjHo7vKmnpcjwyoLzYcum FQTdQYFbobfzSNMKHNEIa2thRX9kYMO3StEdWWxN3zdR4H6VYXG6NHitXVOnPJPAn2ojxRXFyQUv hvnZrPXi1izxQzb1sL1a2Y6oA3vyqc9QA8a47n1bbB8rPFSV8F65AZII+RcfSUDWNbv1SG/+uqVi lEuly7lmLJeTs5pv7V76gJ7/tfn9+1SjXHhryc7Bkei1XDThdvpcy2BW4q3W8sJV27Vu/oru8/tx CtKy8Xe8jlcNxRRMWVHTKTv5BL/PuGjhLzLLdfJMOIKm8DM9rVGX0Kcih3hFIwm6xBbh5FRqd2rH 0iCYJDX4ze8TOr8pxqg4ULL0h+3KcQpbyu6enj4JjUxMhI90y9ueTYKB4D5W8sH08KsWnocakuUz nSTqlntHREqbNxmkmlQvOU4RKkyWLkb4FbSdRVjbzF7ETW0vyH9whPmxgz12eiEYBjDdlaZsioIN 14Y+7qu4dfwMjps+Ney+h7hoZfTbsvj5R49Q5hRUiBOTmbe1uPq/UWZ/L+1HpRClcpgxCl5hLflR 4nH09euDb1vYVztexZam8Mft1JqtdNC/H9Rus7ORW0Lfzv60CiXYIWvhJR28vmm9ORFZv0OC/VZo B7B0uMmaGDigJ52tqc0Fz/A9D4UlasOVc6Ne3aBjCxML2RFdbTs3qLV4ul8RP95FmU7P2qkzc/WN HkA51GIXO3AFFtYkVJMGiOSgfhN234/l18X8l2poWvb05r5tM+LCPeJN9/dz/9pe88F5u6XbNwZ4 V+E6ucvbX9PDCNtsRPqnrh7WXhwpXJc3bkGkeARNJrGyPNFP8RN+aCEYyDVRUyS5Zq9rGPnBQ3Q+ U7sl/EJE31zpHb++4qvdEhb1M/N2u3XY3R2bIUN/68knFybh82tmJ9RYuHFq3ITH0pfZSECsipms qHI2+zWWZ4uVb73HfRjfq/OG/KGQbnHa+3y5RFAgmZ8uU5zWqNd7KuX45eYi7boHEdl7lSSY+u2o hCN5NDYjpXyk/NKAmW/pcJHZQfkMzACPqulr8XzGw4K8jPmqGutsAUyO2tqcFpzgN6b4PyMJfoYF rSrL8a4P3BOdrZzO/PnOp2ugLbQ7b/QgYaG+VjP/1ZOGWCF3UkRPdy9uHddlp0nEiUxZ+pOAIDB6 o+fRf0um5sL5Y9CZE8koYFr2CYdxpbLEkxfsvpq5D2lVEOzB5Igw4zGIzfowEqySP9dbc+m/z0nf Yhxk4FWxfyixlh0Ad1t40G9f8WQ4AR6CGeT3EXaspTQaeYlfTg/3RQ0vPsCN8OMZstrBD2uqUAqh U1zMVtr87whiWdO4K1iG0w4f4ZSlLaz9Z1Aj0jAmQT3oYZOjMZlGFNfpikLy5RJziiKmXo+nPwsN W21huzZefaBq6Ua016neywHxNpTW3VSKOtTZcj29R+6R27FkOXGebwuaRY/61nczLTvsYZo+sx7I bF2Be6R3LCjHOYFxGHtN8mQk3Kt30ypxiFNV1fyaQRd5lHtSWVKBmrXbTGzaU1AXrHQGcY5i+A/p 7JNbyO2Ymo7PJcgZIbLENSIHSYo1OQgZdyBvqBr/Crrjr3Fc1jO92La702WRxJFjSQfpDMbSi0fA 3XHEjNlVv4s2+7IZ1zzTO212bhgmvkKZD0+3RTgbN3CaRU6FHa4ec6kx+M8LEYHh/r6UCUNDjGdx 6/H4OyO00AeWz/i3m6+7DtYoi4B5iMyxasSQVeQ2yzAJWKpRGxfpIgGEUSsSUK86SgJ4itK+pVGm Ebcbc6R0Y6EeWyrUkH0p1FkRLiCZFa62J3BbiNt1e2sOuQF/QgImLQK1KtI6XwcRDGP6UhBh8ReK ZcoyVTWosPlgMJGFXoYYEvB0m2mEvNEjtXGpLjVCny15H17ynMJdtCXyXW0ybr0c1Prhhc+cpAnu yDDz4oK35mcMowA52aGRqSTgSM0okeYjcqPHvtPTBZdoKiOEl5s8xsc/ZZDfMeNhECq1+5v3d+05 mvNdbZS6l3BoeDO6obBca0iQNucUc2yoDzKgvp56Rlttl3ntA5t273wPROtd04kl56h3vK380TIL n+AMIeJ/QWI9S7j4ZX1uzcLyl+oB3AfGxdFo9JRv4y9InfWQVX5ZoBIdRQh65Yn+BOKkXmX7QZ2T b/GO271Pc0UkYCxunSw3TXY72Bv/3Y2YNpr0k10jBHoe9z9z0bw/HAkQINc4NK9tct/dlY6ZI71O S7w7Q0L8yYMjsufjrG1MG3iD3j7NcCNPZJHH5FNli1jxUG9JJ+00oWgctlBD7BkTukMAd+7/6Do6 zlqS82zmTgk+wA+Ft1g7HgwFWZndtbL0VPIcXaAp1HBqEmPQPZVxudOrddLgQ2O7mkVXRZCNpzyx d+2AZ+Fa10EUY7aYkZxXVTFkuN99MPN+wdAst3mljCadoWveibIirFutyxpf8OvJ18AYKN1prcLw 5O3nKJFcqZ9VSdyEvgAuWS9HRi/KGg6heMdAZQSWVXD2sYmqlFJtGzqIT500/rj3bLU5ARKXBYPx OZr23Q3i+tjVZFPfjS34fHmulicYk5uRI8Z3pQrsFLs8uaeu2S+OmKirxXvya1GscUXIgxbtTax6 8VxtvcR3qzOx7LybfX9cn0VXMcZLoujQgpdw5WFXFFfSIHzmGezhVk/NJ8YbZp5POxccasN37nei RkDu6Lp7/E47+DOgzbgJixal4315PXIOZlXkHSJ//t/I+BSHLU8k6pC8Bg/bLcUR32fbbvoD8rKY eU3nQrdL6V0NZx9aD7eBhhAays2OR2JAk0sFFVNIRni4qp8hewrBWDRXNlDE+NCah/fR/WMUiEA6 /WoSEJi+Wmz+yP3FW7Kk1fzJg05lTRCjg2UHfXOSA/1CswIE11i3CCqXHb2RY/buh++05Vi3CYQ2 XnU+qjH2aeW9fq14nNgC/NS6ZRe2H5752biiItKSFpb4Kh9jpA5VSati0NE1GAsoiD3SYNOJWS1n ft9+3xDiLdUaXOh4QIkoZKzOe4KGrXNDh+euN9VMySnxolcXjQtRZPUtpREfMlv0dLWHBCQRnfL8 7yGXjw/koETpfus4/ZeCMJAmStMskNjPcKJtYl+0ZIaHb4i4jZEsVCW+8ILBfh2H7NQeKQ6xq46h hycK3YkKndjaxlJdBY7IWVqXWJPn4nqzUk6DZj6Ww5VK/Ffloh3H7A2GGmoyMz9Zp2KwUfMm1+Tf zDoLJlYeRgapbi2ZDQeZ2ckYunoIpfsPVJwMEEq28kUs+AfGiJgyivgMrDVd8vBnLF4dJYLeaE8U cYeYrMxgBjDmNWOaQn1On2dvVXqUEMRy0XFJjif6sO32z0/aQ1sihDdNSpjKKwXjoPWbRir+GCP9 Re211ELt/cvCFdiqzOkRfTmeBy6uo9hgwU0T9OPwhos6V40N3YN0G1KIvGkkYIHF1pD3806ZI/eC 6IXROYoYuqZ138TM6rmjQ6fntnZU6jeRp/v+sa8br1DSSaUzZvx/EwBQSwMEFAAAAAgAEV1nQ3/9 SaBVEQAAUCUAAA8AHABJbWFnZXMvMDAwMS5qcGdVVAkAA4LCe1KCwntSdXgLAAEE6AMAAAToAwAA 7FlnWFPZut4hQCihSYfQkQ5K7ygoCFiQXkJTOqE3AUsApRjpRQUUEFBQDAISutKkKtK7VKlSBKRJ y43znJkz4Dxzxxmduee5Z+V5f+1v7W+9a33lXTvYPuwoQKmppqEGgEAAAML9AOwgcAIgIiSEEBIQ QSAQYmIiEigNGZSUFMp4iJqChoWJjZWFCQZj5xbhZecU4oLB+KT5hY6KSkhIsPHKKsqIKYiIS4h9 eQmImJgYSgplICNjEOOAcYh988BWAVREoFHQKBjECeBRgcBUIOwrgA23TgLQTwP41wDhgfEJCCFE xCSkOAMMJYAHAoPx8MEEBPj4uKdXcc8BfCqCQxyiyoTU2hcgnO40YoExD4i4VPKraXXal7jFL3oE EZPQ0TMwMh3m4eXjF5CQlJKWkZU7cVJV7ZS6hqaunr6BoZGxiZW1ja2dvYOjp5e3zyVfP//rN4JD QsNuomLj4hNu37mbmJSekfnwUVb24ycFzwsxRcUlpWU1ta/q6hsam5o7Oru6e3r7+gfGxt9PTE5N z8x+WF75tLq2vrH5eesLLxAABv08fpMXFY4XHj4+GB/yhRcI79IXAyp8Ag5RwkPK2pAL7tScYoFE NCoxD/KribnEdZZoL3q0k9BxS4wdXv5C7Sdmf4xY0J9i9guxf/MaAKBgEO7wwFTAMWBjiy89gOS/ +JvxlJhZ72WvKxqNOVwY1M9Zc8vboy6QO1YLA7i2G430l43sQtk+86S+P7XuUowFTkD2NLI22whb aCN2k9FYoK0aC8Q67EkgbeeQq0eRE0nICMDpv/P+O+9vmWfsT9DS/fY+R0WCbZJg4piYgNO7Q2rn 3VfxMHxAOuoXgFtF1nKqH4/w5IyzWKjFyg4JLzxdxcRKh7HF1BaK+QWH8uJb3rO8WDZCZuZIn0RW sXXP6Y6Qqc24qHjaRapECj7j44cvU0cKKsEtGF/nDD81KUpwzgp61J96zsEs8K1+vtiKzDRsqtiJ qwLVQn2+NGRqwu5KXs1Fg+lwftsG1qngPMW60srnz23gOSXsQmL4BQStUwjeU+VF5ct0heu9VGfS jpOqjYUOuWr23x4gbhQ/AbvhNZz2/lMu4jhK5orneDxKUnXQriacYs35OIs+jfZxgh8Ehp6XnKgp hOuqYMmCy7uHmMEbK5My3JaEQiAgWp1xR80HwTpYm2fS6lKzuHgaYXjE2X7+pR53EOHRB2GgMNDd wMG0+jrAatNzTyEXC8xzeGOBjJQiQbba1OXJS1jgAumzXdha/teePZmO7ERd48cCPq1YQBXjtfbG vnJFcTNrd/DYLl0XqLNdlQbQ/nEARY21bq6UY4G84N69SP++p0hyZEPCyO4NkcpVz546gEZbdR9o f7287s5e0XQs0LgxnrrhhAVW4echWqo050HfFbT1Mz29Dlcf2ZKpSjI07XUn2SJ5tCfzZLgXLK0H DF2H2IYY8cEFv473A3tutAfDAlGCldtEZsiZaTQK4EvfD8G77ciJy8ta20XILeGcrFwrVSwQ87Hu 2GI/FpgpSiNPQfGl4f1AQPfv+cEY2pfMQHqpwxVPR29+iW1hXr2XZRScanknUQWf7ZyCzYYMSV6B Y2W5GNEvuPSuG3davSg2pmIokPDI7Y3oRhXkrUGJdvhMckIG6HP2MXbcNuqUaDhZ2fV0gbFeT0uu 3uiy9SfTjRBXtCQF0+ajy4LZIhc424g5ouWmrS7RgHq/T+hxcChzj5JrpBGk580rKB9+VyQslbJk 8oFLypMRTPeZNGBuhzs9Vm61uroK3fzVkX1Bw9L0jp8ZFuhTmcMCpxSdDI6FHnvf/HGvht5iS3bu 4r5GL1seBbbvtHiNpHqJKb9kRw03bw4mvbqb4dMN9bOEcOP54RV5tUj1qneOFzxXiW6453LxjQb3 bSE/7lgN3seSLii6JMhdw/2xbqhlWn8LC3CNoJBDz7FAO648KX6nUsRoYM6an1cSoh5RK1zCOcDI YxsJqCmpKso0sgZEHyUXNEAdiIn/F4GPw4EV5qaURtDvnaqkwQLldlggfSBAzv8vqEFGgXKVOWYn j0xBKxnFCA9/1gRFzGJSU0bTBQmqmGzTwrARR3nR8By66Du1i5ZEwCo3am7mP43jH4HojiwWYDVE rlOW4eK6FU57oEf8i9vbbkyL/En1pC0fg0RUHY22QoH6KV5HdqG+dVrWO+OK4kYlsQM9Gh1TksNt poOnXXmGk4PUn6i3uomqjTriuhqosTjcVeTZtbqHs6Kn3TZ0B1+5uOxkcsIgtgLhehM7OUHq04Fw f8JcyRZO+Y/sVZMTKPWNUJKZSQZCNl+bcxTu+phjEF9Po4pt2wcZxq2e0WfQDNBXUGhMb6Qs+jIC flnQfgFtGUnEeT6/7lCwHjgPHMAHd6S4SrIxgEm5N1OsI3eHkfkiLlnalHMv10pHW/j21onDn0tY m0ALxFJLhsIIyz5MSVh8Zt3R3VtI3bvlCMzO/EYR+j0ICCbfwGCSxk0/u3P4VDVVMUoKc4AC8fEo 8JmAuvyeI5nlhSgsoBUyLN91BKzqZsMeWI6IyIDAJuhgVCk3FnqcQ65nOTy/ib4QLfcgUvFTRRC3 THOaLQcEHFw16k/S8V3TDHxn2XNW6rmRhfnmTQnBvopXRaUOXKDuoo8qBXgMMP41Bli3BfTdzFZk iYtu3dLcQLzPfEymKyVlvfFpypjAruAm7lWGOi9/TLK5ST1XUXGKvV2kfc9YP62xEUv/+XPH38pM LPnmQF1eDjHo3RjwczJ7nXpUSQ0wtQy341W6d76Q8BfdcKComikeEEiA1+oBSfK98Yc0HMMw+9K8 Entkt3V5RdEKzyFqhCc3vPeYmFS9aZD8+oJWp4J0lgO9sLt9b72aTmhrF+999735yFoF73qECYou 4LvLqTMaGfElkSc9QqG0gQNXyVSR+MUm3t0V1Aw8t+lPxntHhLFLj/o9ZWHTvM2i0+PVntZhVVTk a7Nyn+hebAlp8ZOIzMk8v9mmNPKk//wy/h1L3M8Y934WZqeRqltoQfah1dMGGsfvUxwpq60s35V4 Scw/QeeUe4rgk46PNl1efS5TBSlNE6Z3efnMrpUzhir6byyodJuyRtY176sm/ZXd6MJe1RT5XhEx pVYbiffLojlWy7hKRJ9vsdlZJ64S94TKXlSBgvRq/R49sBcP6v39i4B+17O4Mx3PjkyoeWECp2zM n9JqVO1k43XTRthlO/I/qbXKbrA3mRqajkAnhp0NBvO3WqxdJ6t384UZtPz4ZPkZNN7OzOd6nSJS HtvRdkHux5KHdrGmbaPKwvLT08MFwkEz/PZpeAdiocz/G6owP+MJfgMg6Kjyx9OqgHZee+GCaP/8 0/HARJXYjPRIlCKNP7nA2l+7kBDuV5n5BwLp67P5s7JRH66o2aB9iJl5EPGAcWCKWH899cT16jRS vb+zzP3VqypIy7DA+bTayzwNhaLSwDGK8AWhTLu1J3R00h+fqiL9EA727BiETeSALm9iafxEbE5A uQxsd312xOXbOu3v4VuuCT9hX7zNzv1aI2eDs35Dd39PfJOGH+usG4gdcaTXkUoZcA4ehA/1c0oP LKRD8Hzk8/R2553Z+Bt5GdAjJAjncTLKD9A2ueScsAxfcu2Yw1465Oc8npAj7F4fn1wXWTkKh8Wc DSFCv6eqPnQyIA5Dw9c0scR3vLl34LqxnECfueki4xsiIjbTGCMl5lh4FIPv7ckFu2JjgjT9+8et blj6U5uZWc1igRWxuWOL1VggLQno+5nTE5O6bYckycmVepa0m5kkDeDAd+usWR25HZQMlMfZl5TT oJdJW1QUrbbl9sY7Zl6UlhgLP7AvAqrdqsq9W5s9lOb8DVr08jtWd4VZJLaZ4arRi+6uJPUMW/dA ScXf/xvQgd0+GDtfVwSjLeROeFnrdh5yhgeXQlq4vnbHGJchFLv4bYR1P/Bz1Q9YbmFBA1RLKDe/ HmU89BYvsCuuTx9OZlCrZygl7db6nLlGSnP60alKV5Oz5lUf/PXr7kardRxprrsEKDc2LorJstQ7 ooMTth2fPXbkHJBVCMRTdXpTy1xMZ8tud8/SKtJPNo3sR3b1b+zoOJTWZjc83IzTRSQjVuK4eaSD ahwS8oiOiXEwrudGooB6LHAjA7dBqVctsAD+BnLHJWpTUwILfN7oxgJLWrgUrZ+z/d5m03H1SScf hLsjDhHYquiqVlgyniNqvJXNHlVzHwsQhyRiAaWykT2ij8jNbrN2YdvC5ymynVaSk2/SrGE5b+az os4rowWAKpyv2jM4X2auOF+XKnccozbPSLR+XuvBuTp1Gecq5xrqH7CatlouiuF3h8m9jneOKj5Z IQ9v25u73piFBWouPEK25hZjgSD5kT1JQ69kY3RmV3hT4VnfjoZGWZ0n4ltMHWlQigPvzP7Ka/HM P2BF7q3gnKm+wu02J9Qu1YQ3c+dGhiWMbcjNTXmLSuurCbmzt5/DPzC9KXjUVVJhfFEW4hHGeWb7 SmNtqub/ZYpXnDMVYtWi54SWo1nUbvpqTlhb+5m6/wa9PpMW8vwnrZwXZYfFma2vVKmBdlUdzhNC dniY7Ha25pCbXC+wwHs95P4jh6/+jSb410Q7bBLH1DGuUkcZo2c2LgTIVrPXtY3uqT36KkuzijGJ CqeQPk1hh4uKI5i5bhvE5zWYSx+ZNtEDRYzFtjw6K6gqoQJ/nUhlezPdGS1IqZmHb+3ZiE76X65N MYnapOUE+ozc9wB+BFed+GzRMG3XVHd38jn4pW0VQUpj0ebrMb1Z5qvJBSUd5fmeWt1eC+Z0yWcr MS9uwhGKha85r89oxrXAcwWrpX2YirKyP6xvhSQIv2mrpTae7Xya48zk0v8idNiz5FOADGDHqIjW NTh8NB3FD/23fsgoiVVHP4zlC+/gpFOvBkrBgXFVLWT9pnTpwm8oPNZfS9j6dsm/YnDRl63myoZA IH1dmKlhwsuryz153sICe8Nbi/XDiMe89qjQERGgn+tKSc2zAtj7ysz2dojBfrF53oI4qWYCjgVy RY9G7c7DrhVmziczGfpwYbq95uaSbyFOb8NvLrztHw+x8QnbOgoRuIZxqagd6xp0XS03yh2ttF9N Lw4wyXTNamQ85mUEXLMqSfA4pys5u3bWKH4R54Ij+JemqEcf3FM/ln6rJVqtzuqt9D23Y0w6Pmcj BMsp+xFM5lkSS32OBpc8qnzeRJ8rYGjNAHx3HBf8LGobR6NMO1Uffu4icSBjaaYh3U0abAvzBcLv 1x5yQQ5NKyK6BZLypXF9Jrrm5xNMFMqvpn4tdAtm//D+u1E+Fg3FYKXSVta+wZFNepPIKbGZ2x6N aaIWieejfRV25XRcmt+jytV7X3QXLkgRTb/sEna+kBDUwP1JQDCuDU+LJxccE9NRwuL4XiuvpzDn hdOrMk/7TmXmN2IpCIamc8ib8ZQQ3SACr5dUIVOD1WVC9Kg5T5Z4Qc7KYSilNZt/juuuN3ISmcg/ xDuyEydln4468c//tf4nQFzFg1IRI8pcB8cVbIamn84yeWeh2RPXgqfFLQiLDdO+m23rfYagOfXu KPlmDlNlxCpaZNlJu6VurCyoP0PPDdUhF84oFf+Ottj5rTpbxEWjTXqdoqXFrKyKHlsEmlOexrKl UC5Rg3vh7cgwxbUKvQ1zml5op/FAUxaLlLMBi8bDhHdnys1Y3pPQXG+GSV3NH04aAs/t4npzgBeV b45aqt5VOcEiRIJICWUTpl9pK2NhYF62+TG31UOjTsyCuKHbbXoVjwsae3pO+E4LTVxBbtd0W1kE 4zquUF19hKBSv3JzwVmEt7Q49qzabGLixgKrhpKetSt73lBMajy1SQrV0iQWCLWt3D7Z03nqGhZw ulv/P9vtFbP914HFzIZ/76Q8X1d1Ydv1X//2+xvUxV//+jen1ITG42DUxPX/bwIAUEsDBAoAAAAA ABFdZ0MAAAAAAAAAAAAAAAAJABwATUVUQS1JTkYvVVQJAAOCwntSgsJ7UnV4CwABBOgDAAAE6AMA AFBLAwQUAAAACAARXWdDZaBT2ewAAAA4AwAAFQAcAE1FVEEtSU5GL21hbmlmZXN0LnhtbFVUCQAD gsJ7UoLCe1J1eAsAAQToAwAABOgDAAC1ksFuwyAQRO/+Cou7wcmpQsG5Req9/QBkr10qWJBZR/Hf F1tq4qqpJQ7lxIrZNzMSp/PN2fIKYzQeFTvwmpWAre8MDoq9v12qF3ZuinI5J6fR9BBJfl/KtIzx Pio2jSi9jiZK1A6ipFb6ANj5dnKAJH/q5Wp3nzYpjqwpiodfbyxUaX+cH2oHndEVzQEUI7iRSOwN rJ+srYKmD8Vaj5SW+SIQTQZWh2BNqymFElfs+NqMbwvxxfm5q/irWVaE/WaRZgsxv9g+1QHpfKZx egDxGYbn0NflOYq6ro98Ef0P+5DP3kWuKPHr3zfFF1BLAwQUAAAACAARXWdD0V8grmIBAAAtAwAA CAAcAG1ldGEueG1sVVQJAAOCwntSgsJ7UnV4CwABBOgDAAAE6AMAAI1STVODMBC991d0OOkhX6Ud JUPTk149WH8Ahi2NhaQTgrT/3iZARcuM5rb73tv3difp5lSV80+wtTJ6HTFMozloaXKli3X0tn1G j9FGzOb+pWa3UxJ4bmRTgXaoApd1kH+XQbrmHWcdNVZzk9Wq5jqroOZOcnMEPWj5mM297e9Bp1Lp wzraO3fkhLRti9sYG1sQliQJCeiNJpdXwbGxZaDnkkAJ3rMmDDNyI/Jb/Dev506mNcZcrb2uWywE WFC6JF09kvWbjy6/iMQAD5f2dmKW5pJLC5kzVmzPJdj5a6XcPiWj/iwN0ZRWTmUlmqRPMsL0PHMg FpTFiDFEH7aM8SXl8RLRFac0GAVK7xK0l9ToL90Eux9RgAYbArzYAj3gBMc78lRlskaLJY7ximLW 67+pvfYA59bYXPT4UIZN6ub9A6QTIfNQBMQpV4I4lsbdMc7ofWB0zcvZUzI++bX68dXFF1BLAQIe AwoAAAAAABFdZ0NexjIMJwAAACcAAAAIAAAAAAAAAAAAAACkgQAAAABtaW1ldHlwZVBLAQIeAxQA AAAIABFdZ0OxD81h3gkAAJNjAAALABgAAAAAAAEAAACkgU0AAABjb250ZW50LnhtbFVUBQADgsJ7 UnV4CwABBOgDAAAE6AMAAFBLAQIeAxQAAAAIABFdZ0OJnGoZLBcAAHQCAQAKABgAAAAAAAEAAACk gXAKAABzdHlsZXMueG1sVVQFAAOCwntSdXgLAAEE6AMAAAToAwAAUEsBAh4DCgAAAAAAEV1nQwAA AAAAAAAAAAAAAAcAGAAAAAAAAAAQAO1B4CEAAEltYWdlcy9VVAUAA4LCe1J1eAsAAQToAwAABOgD AABQSwECHgMUAAAACAARXWdDLooE3y4RAAA9JQAADwAYAAAAAAAAAAAApIEhIgAASW1hZ2VzLzAw MDIuanBnVVQFAAOCwntSdXgLAAEE6AMAAAToAwAAUEsBAh4DFAAAAAgAEV1nQ3/9SaBVEQAAUCUA AA8AGAAAAAAAAAAAAKSBmDMAAEltYWdlcy8wMDAxLmpwZ1VUBQADgsJ7UnV4CwABBOgDAAAE6AMA AFBLAQIeAwoAAAAAABFdZ0MAAAAAAAAAAAAAAAAJABgAAAAAAAAAEADtQTZFAABNRVRBLUlORi9V VAUAA4LCe1J1eAsAAQToAwAABOgDAABQSwECHgMUAAAACAARXWdDZaBT2ewAAAA4AwAAFQAYAAAA AAABAAAApIF5RQAATUVUQS1JTkYvbWFuaWZlc3QueG1sVVQFAAOCwntSdXgLAAEE6AMAAAToAwAA UEsBAh4DFAAAAAgAEV1nQ9FfIK5iAQAALQMAAAgAGAAAAAAAAQAAAKSBtEYAAG1ldGEueG1sVVQF AAOCwntSdXgLAAEE6AMAAAToAwAAUEsFBgAAAAAJAAkAxgIAAFhIAAAAAA== ------PNB3Q9YM6XOXYIOZK16IZUDGWJ82GZ--